diff --git "a/Task Specific Datasets/loop_body_dataset_python.jsonl" "b/Task Specific Datasets/loop_body_dataset_python.jsonl" new file mode 100644--- /dev/null +++ "b/Task Specific Datasets/loop_body_dataset_python.jsonl" @@ -0,0 +1,107 @@ +{"idx": 0, "scratchpad_format": "def find(lst, key, value):\n for i, dic in enumerate(lst): # [STATE] i = 0 [/STATE] [STATE] dic = {'Variable': 'jenkins_admin_password', 'Type': 'password'} [/STATE] [STATE] i = 1 [/STATE] [STATE] dic = {'Variable': 'ca_rootca_password', 'Type': 'password'} [/STATE]\n if dic[key] == value:\n return i\n return None\n\nfind([{'Variable': 'jenkins_admin_password', 'Type': 'password'}, {'Variable': 'ca_rootca_password', 'Type': 'password'}], 'Variable', 'something_not_there')", "loop_code": "1: def find(lst, key, value):\n2: for i, dic in enumerate(lst):\n3: if dic[key] == value:\n4: return i\n5: return None\n6:\n7: find([{'Variable': 'jenkins_admin_password', 'Type': 'password'}, {'Variable': 'ca_rootca_password', 'Type': 'password'}], 'Variable', 'something_not_there')", "question": "What is the value of ' i ' in line '2' after '3' th iteration when 'find([{'Variable': 'jenkins_admin_password', 'Type': 'password'}, {'Variable': 'ca_rootca_password', 'Type': 'password'}], 'Variable', 'something_not_there')' is executed?", "answer": " 1 ", "variable_assignment": " i = 1 "} +{"idx": 1, "scratchpad_format": "def _global_import(name):\n p = __import__(name, globals(), locals(), level=1) # [STATE] p = [/STATE]\n lst = p.__all__ if '__all__' in dir(p) else dir(p) # [STATE] lst = ['DataFlow', 'ProxyDataFlow', 'RNGDataFlow', 'DataFlowTerminated'] [/STATE]\n if lst:\n globals().pop(name, None)\n for k in lst: # [STATE] k = 'DataFlow' [/STATE] [STATE] k = 'ProxyDataFlow' [/STATE] [STATE] k = 'RNGDataFlow' [/STATE] [STATE] k = 'DataFlowTerminated' [/STATE]\n if not k.startswith('__'):\n globals()[k] = p.__dict__[k]\n __all__.append(k)\n\n_global_import('base')", "loop_code": "1: def _global_import(name):\n2: p = __import__(name, globals(), locals(), level=1)\n3: lst = p.__all__ if '__all__' in dir(p) else dir(p)\n4: if lst:\n5: globals().pop(name, None)\n6: for k in lst:\n7: if not k.startswith('__'):\n8: globals()[k] = p.__dict__[k]\n9: __all__.append(k)\n10:\n11: _global_import('base')", "question": "What is the value of ' k ' in line '6' after '3' th iteration when '_global_import('base')' is executed?", "answer": " 'RNGDataFlow' ", "variable_assignment": " k = 'RNGDataFlow' "} +{"idx": 2, "scratchpad_format": "def _global_import(name):\n p = __import__(name, globals(), None, level=1) # [STATE] p = [/STATE]\n lst = p.__all__ if '__all__' in dir(p) else dir(p) # [STATE] lst = ['get_default_sess_config', 'get_global_step_value', 'get_global_step_var', 'get_tf_version_tuple', 'collect_env_info'] [/STATE]\n for k in lst: # [STATE] k = 'get_default_sess_config' [/STATE] [STATE] k = 'get_global_step_value' [/STATE] [STATE] k = 'get_global_step_var' [/STATE] [STATE] k = 'get_tf_version_tuple' [/STATE] [STATE] k = 'collect_env_info' [/STATE]\n if not k.startswith('__'):\n globals()[k] = p.__dict__[k]\n __all__.append(k)\n\n_global_import('common')", "loop_code": "1: def _global_import(name):\n2: p = __import__(name, globals(), None, level=1)\n3: lst = p.__all__ if '__all__' in dir(p) else dir(p)\n4: for k in lst:\n5: if not k.startswith('__'):\n6: globals()[k] = p.__dict__[k]\n7: __all__.append(k)\n8:\n9: _global_import('common')", "question": "What is the value of ' k ' in line '4' after '1' th iteration when '_global_import('common')' is executed?", "answer": " 'get_default_sess_config' ", "variable_assignment": " k = 'get_default_sess_config' "} +{"idx": 3, "scratchpad_format": "def _global_import(name):\n p = __import__(name, globals(), locals(), level=1) # [STATE] p = [/STATE]\n lst = p.__all__ if '__all__' in dir(p) else dir(p) # [STATE] lst = ['Callback', 'ProxyCallback', 'CallbackFactory'] [/STATE]\n if lst:\n del globals()[name]\n for k in lst: # [STATE] k = 'Callback' [/STATE] [STATE] k = 'ProxyCallback' [/STATE] [STATE] k = 'CallbackFactory' [/STATE]\n if not k.startswith('__'):\n globals()[k] = p.__dict__[k]\n __all__.append(k)\n\n_global_import('base')", "loop_code": "1: def _global_import(name):\n2: p = __import__(name, globals(), locals(), level=1)\n3: lst = p.__all__ if '__all__' in dir(p) else dir(p)\n4: if lst:\n5: del globals()[name]\n6: for k in lst:\n7: if not k.startswith('__'):\n8: globals()[k] = p.__dict__[k]\n9: __all__.append(k)\n10:\n11: _global_import('base')", "question": "What is the value of ' k ' in line '6' after '2' th iteration when '_global_import('base')' is executed?", "answer": " 'ProxyCallback' ", "variable_assignment": " k = 'ProxyCallback' "} +{"idx": 4, "scratchpad_format": "def make_version_tuple(vstr=None):\n if vstr is None:\n vstr = __version__\n if vstr[0] == \"v\":\n vstr = vstr[1:] # [STATE] vstr = '0.1.1' [/STATE]\n components = [] # [STATE] components = [] [/STATE]\n for component in vstr.split(\"+\")[0].split(\".\"): # [STATE] component = '0' [/STATE] [STATE] component = '1' [/STATE]\n try:\n components.append(int(component)) # [STATE] components = [0] [/STATE] [STATE] components = [0, 1] [/STATE] [STATE] components = [0, 1, 1] [/STATE]\n except ValueError:\n break\n return tuple(components)\n\nmake_version_tuple('v0.1.1')", "loop_code": "1: def make_version_tuple(vstr=None):\n2: if vstr is None:\n3: vstr = __version__\n4: if vstr[0] == \"v\":\n5: vstr = vstr[1:]\n6: components = []\n7: for component in vstr.split(\"+\")[0].split(\".\"):\n8: try:\n9: components.append(int(component))\n10: except ValueError:\n11: break\n12: return tuple(components)\n13:\n14: make_version_tuple('v0.1.1')", "question": "What is the value of ' components ' in line '9' after '1' th iteration when 'make_version_tuple('v0.1.1')' is executed?", "answer": " [0] ", "variable_assignment": " components = [0] "} +{"idx": 5, "scratchpad_format": "def test_offset(offset):\n parser = GenericSubtitleParser() # [STATE] parser = {subs_=None, sub_format='srt', encoding='infer', caching=False, fit_fname=None, detected_encoding_=None, max_subtitle_seconds=None, start_seconds=0, _skip_ssa_info=False, _strict=False} [/STATE]\n offseter = SubtitleShifter(offset) # [STATE] offseter = {td_seconds=datetime.timedelta(seconds=1)} [/STATE]\n pipe = make_pipeline(parser, offseter) # [STATE] pipe = {steps=[('genericsubtitleparser', ), ('subtitleshifter', )], verbose=False} [/STATE]\n pipe.fit(BytesIO(fake_srt)) # [STATE] parser = {subs_=, sub_format='srt', encoding='infer', caching=False, fit_fname=<_io.BytesIO object at 0x7fb014edb7c0>, detected_encoding_='ASCII', max_subtitle_seconds=None, start_seconds=0, _skip_ssa_info=False, _strict=False} [/STATE] # [STATE] offseter = {td_seconds=datetime.timedelta(seconds=1), subs_=} [/STATE]\n for sub_orig, sub_offset in zip(parser.subs_, offseter.subs_): # [STATE] sub_orig = {start=datetime.timedelta(microseconds=178000), end=datetime.timedelta(seconds=2, microseconds=416000), inner=Subtitle(index=1, start=datetime.timedelta(microseconds=178000), end=datetime.timedelta(seconds=2, microseconds=416000), content='Previously on \"Your favorite TV show...\"', proprietary='')} [/STATE] [STATE] sub_offset = {start=datetime.timedelta(seconds=1, microseconds=178000), end=datetime.timedelta(seconds=3, microseconds=416000), inner=Subtitle(index=1, start=datetime.timedelta(microseconds=178000), end=datetime.timedelta(seconds=2, microseconds=416000), content='Previously on \"Your favorite TV show...\"', proprietary='')} [/STATE] [STATE] sub_orig = {start=datetime.timedelta(seconds=2, microseconds=828000), end=datetime.timedelta(seconds=4, microseconds=549000), inner=Subtitle(index=2, start=datetime.timedelta(seconds=2, microseconds=828000), end=datetime.timedelta(seconds=4, microseconds=549000), content='Oh hi, Mark.', proprietary='')} [/STATE] [STATE] sub_offset = {start=datetime.timedelta(seconds=3, microseconds=828000), end=datetime.timedelta(seconds=5, microseconds=549000), inner=Subtitle(index=2, start=datetime.timedelta(seconds=2, microseconds=828000), end=datetime.timedelta(seconds=4, microseconds=549000), content='Oh hi, Mark.', proprietary='')} [/STATE] [STATE] sub_orig = {start=datetime.timedelta(seconds=4, microseconds=653000), end=datetime.timedelta(seconds=6, microseconds=62000), inner=Subtitle(index=3, start=datetime.timedelta(seconds=4, microseconds=653000), end=datetime.timedelta(seconds=6, microseconds=62000), content='You are tearing me apart, Lisa!', proprietary='')} [/STATE] [STATE] sub_offset = {start=datetime.timedelta(seconds=5, microseconds=653000), end=datetime.timedelta(seconds=7, microseconds=62000), inner=Subtitle(index=3, start=datetime.timedelta(seconds=4, microseconds=653000), end=datetime.timedelta(seconds=6, microseconds=62000), content='You are tearing me apart, Lisa!', proprietary='')} [/STATE]\n assert ( # [STATE] @py_assert2 = None [/STATE] [STATE] @py_assert4 = None [/STATE] [STATE] @py_assert6 = None [/STATE] [STATE] @py_assert9 = None [/STATE] [STATE] @py_assert11 = None [/STATE] [STATE] @py_assert13 = None [/STATE] [STATE] @py_assert15 = None [/STATE] [STATE] @py_assert17 = None [/STATE] [STATE] @py_assert18 = None [/STATE] [STATE] @py_assert21 = None [/STATE] [STATE] @py_assert20 = None [/STATE]\n abs(\n sub_offset.start.total_seconds()\n - sub_orig.start.total_seconds()\n - offset\n )\n < 1e-6\n )\n assert (\n abs(sub_offset.end.total_seconds() - sub_orig.end.total_seconds() - offset)\n < 1e-6\n )\n\ntest_offset(1)", "loop_code": "1: def test_offset(offset):\n2: parser = GenericSubtitleParser()\n3: offseter = SubtitleShifter(offset)\n4: pipe = make_pipeline(parser, offseter)\n5: pipe.fit(BytesIO(fake_srt))\n6: for sub_orig, sub_offset in zip(parser.subs_, offseter.subs_):\n7: assert (\n8: abs(\n9: sub_offset.start.total_seconds()\n10: - sub_orig.start.total_seconds()\n11: - offset\n12: )\n13: < 1e-6\n14: )\n15: assert (\n16: abs(sub_offset.end.total_seconds() - sub_orig.end.total_seconds() - offset)\n17: < 1e-6\n18: )\n19:\n20: test_offset(1)", "question": "What is the value of ' @py_assert15 ' in line '7' after '7' th iteration when 'test_offset(1)' is executed?", "answer": " None ", "variable_assignment": " @py_assert15 = None "} +{"idx": 6, "scratchpad_format": "def test_speech_extraction(sample_rate, start_seconds):\n parser = GenericSubtitleParser(start_seconds=start_seconds) # [STATE] parser = {subs_=None, sub_format='srt', encoding='infer', caching=False, fit_fname=None, detected_encoding_=None, max_subtitle_seconds=None, start_seconds=0, _skip_ssa_info=False, _strict=False} [/STATE]\n extractor = SubtitleSpeechTransformer( # [STATE] extractor = {sample_rate=10, start_seconds=0, framerate_ratio=1.0, subtitle_speech_results_=None, max_time_=None} [/STATE]\n sample_rate=sample_rate, start_seconds=start_seconds\n )\n pipe = make_pipeline(parser, extractor) # [STATE] pipe = {steps=[('genericsubtitleparser', ), ('subtitlespeechtransformer', )], verbose=False} [/STATE]\n bitstring = pipe.fit_transform(BytesIO(fake_srt)).astype(bool) # [STATE] bitstring = array([False, False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False, False, False, False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False, False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False]) [/STATE] # [STATE] parser = {subs_=, sub_format='srt', encoding='infer', caching=False, fit_fname=<_io.BytesIO object at 0x7fb014da3310>, detected_encoding_='ASCII', max_subtitle_seconds=None, start_seconds=0, _skip_ssa_info=False, _strict=False} [/STATE] # [STATE] extractor = {sample_rate=10, start_seconds=0, framerate_ratio=1.0, subtitle_speech_results_=array([0., 0., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 0., 0., 0., 0., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 0., 0., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 0.]), max_time_=6.062, start_frame_=2, end_frame_=60} [/STATE]\n bitstring_shifted_left = np.append(bitstring[1:], [False]) # [STATE] bitstring_shifted_left = array([False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False, False, False, False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False, False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False, False]) [/STATE]\n bitstring_shifted_right = np.append([False], bitstring[:-1]) # [STATE] bitstring_shifted_right = array([False, False, False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False, False, False, False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False, False, True, True, True, True, True, True, True, True, True, True, True, True, True, True]) [/STATE]\n bitstring_cumsum = np.cumsum(bitstring) # [STATE] bitstring_cumsum = array([ 0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 22, 22, 22, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 39, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 53]) [/STATE]\n consec_ones_end_pos = np.nonzero( # [STATE] consec_ones_end_pos = array([23, 44, 60]) [/STATE]\n bitstring_cumsum\n * (bitstring ^ bitstring_shifted_left)\n * (bitstring_cumsum != np.cumsum(bitstring_shifted_right))\n )[0]\n prev = 0 # [STATE] prev = 0 [/STATE]\n for pos, sub in zip(consec_ones_end_pos, parser.subs_): # [STATE] pos = 23 [/STATE] [STATE] sub = {start=datetime.timedelta(microseconds=178000), end=datetime.timedelta(seconds=2, microseconds=416000), inner=Subtitle(index=1, start=datetime.timedelta(microseconds=178000), end=datetime.timedelta(seconds=2, microseconds=416000), content='Previously on \"Your favorite TV show...\"', proprietary='')} [/STATE] [STATE] pos = 44 [/STATE] [STATE] sub = {start=datetime.timedelta(seconds=2, microseconds=828000), end=datetime.timedelta(seconds=4, microseconds=549000), inner=Subtitle(index=2, start=datetime.timedelta(seconds=2, microseconds=828000), end=datetime.timedelta(seconds=4, microseconds=549000), content='Oh hi, Mark.', proprietary='')} [/STATE] [STATE] pos = 60 [/STATE] [STATE] sub = {start=datetime.timedelta(seconds=4, microseconds=653000), end=datetime.timedelta(seconds=6, microseconds=62000), inner=Subtitle(index=3, start=datetime.timedelta(seconds=4, microseconds=653000), end=datetime.timedelta(seconds=6, microseconds=62000), content='You are tearing me apart, Lisa!', proprietary='')} [/STATE]\n start = int(round(sub.start.total_seconds() * sample_rate)) # [STATE] start = 2 [/STATE] [STATE] start = 28 [/STATE] [STATE] start = 47 [/STATE]\n duration = sub.end.total_seconds() - sub.start.total_seconds() # [STATE] duration = 2.238 [/STATE] [STATE] duration = 1.7210000000000005 [/STATE] [STATE] duration = 1.4090000000000007 [/STATE]\n stop = start + int(round(duration * sample_rate)) # [STATE] stop = 24 [/STATE] [STATE] stop = 45 [/STATE] [STATE] stop = 61 [/STATE]\n assert bitstring_cumsum[pos] - prev == stop - start # [STATE] @py_assert0 = None [/STATE] [STATE] @py_assert3 = None [/STATE] [STATE] @py_assert7 = None [/STATE] [STATE] @py_assert4 = None [/STATE]\n prev = bitstring_cumsum[pos] # [STATE] prev = 22 [/STATE] [STATE] prev = 39 [/STATE] [STATE] prev = 53 [/STATE]\n\ntest_speech_extraction(10, 0)", "loop_code": "1: def test_speech_extraction(sample_rate, start_seconds):\n2: parser = GenericSubtitleParser(start_seconds=start_seconds)\n3: extractor = SubtitleSpeechTransformer(\n4: sample_rate=sample_rate, start_seconds=start_seconds\n5: )\n6: pipe = make_pipeline(parser, extractor)\n7: bitstring = pipe.fit_transform(BytesIO(fake_srt)).astype(bool)\n8: bitstring_shifted_left = np.append(bitstring[1:], [False])\n9: bitstring_shifted_right = np.append([False], bitstring[:-1])\n10: bitstring_cumsum = np.cumsum(bitstring)\n11: consec_ones_end_pos = np.nonzero(\n12: bitstring_cumsum\n13: * (bitstring ^ bitstring_shifted_left)\n14: * (bitstring_cumsum != np.cumsum(bitstring_shifted_right))\n15: )[0]\n16: prev = 0\n17: for pos, sub in zip(consec_ones_end_pos, parser.subs_):\n18: start = int(round(sub.start.total_seconds() * sample_rate))\n19: duration = sub.end.total_seconds() - sub.start.total_seconds()\n20: stop = start + int(round(duration * sample_rate))\n21: assert bitstring_cumsum[pos] - prev == stop - start\n22: prev = bitstring_cumsum[pos]\n23:\n24: test_speech_extraction(10, 0)", "question": "What is the value of ' start ' in line '18' after '2' th iteration when 'test_speech_extraction(10, 0)' is executed?", "answer": " 28 ", "variable_assignment": " start = 28 "} +{"idx": 7, "scratchpad_format": "def get_versions(default={\"version\": \"unknown\", \"full\": \"\"}, verbose=False):\n # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have\n # __file__, we can work backwards from there to the root. Some\n # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which\n # case we can only use expanded keywords.\n\n keywords = {\"refnames\": git_refnames, \"full\": git_full} # [STATE] keywords = {'refnames': '$Format:%d$', 'full': '$Format:%H$'} [/STATE]\n ver = git_versions_from_keywords(keywords, tag_prefix, verbose) # [STATE] ver = {} [/STATE]\n if ver:\n return rep_by_pep440(ver)\n\n try:\n root = os.path.abspath(__file__) # [STATE] root = '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/andsor+pydevs/andsor+pydevs/devs/_version.py' [/STATE]\n # versionfile_source is the relative path from the top of the source\n # tree (where the .git directory might live) to this file. Invert\n # this to find the root from __file__.\n for i in range(len(versionfile_source.split(os.sep))): # [STATE] i = 0 [/STATE] [STATE] i = 1 [/STATE]\n root = os.path.dirname(root) # [STATE] root = '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/andsor+pydevs/andsor+pydevs/devs' [/STATE] [STATE] root = '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/andsor+pydevs/andsor+pydevs' [/STATE]\n except NameError:\n return default\n\n return rep_by_pep440(\n git_versions_from_vcs(tag_prefix, root, verbose)\n or versions_from_parentdir(parentdir_prefix, root, verbose)\n or default)\n\nget_versions({'version': 'unknown', 'full': ''}, False)", "loop_code": "1: def get_versions(default={\"version\": \"unknown\", \"full\": \"\"}, verbose=False):\n2: # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have\n3: # __file__, we can work backwards from there to the root. Some\n4: # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which\n5: # case we can only use expanded keywords.\n6:\n7: keywords = {\"refnames\": git_refnames, \"full\": git_full}\n8: ver = git_versions_from_keywords(keywords, tag_prefix, verbose)\n9: if ver:\n10: return rep_by_pep440(ver)\n11:\n12: try:\n13: root = os.path.abspath(__file__)\n14: # versionfile_source is the relative path from the top of the source\n15: # tree (where the .git directory might live) to this file. Invert\n16: # this to find the root from __file__.\n17: for i in range(len(versionfile_source.split(os.sep))):\n18: root = os.path.dirname(root)\n19: except NameError:\n20: return default\n21:\n22: return rep_by_pep440(\n23: git_versions_from_vcs(tag_prefix, root, verbose)\n24: or versions_from_parentdir(parentdir_prefix, root, verbose)\n25: or default)\n26:\n27: get_versions({'version': 'unknown', 'full': ''}, False)", "question": "What is the value of ' root ' in line '18' after '1' th iteration when 'get_versions({'version': 'unknown', 'full': ''}, False)' is executed?", "answer": " '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/andsor+pydevs/andsor+pydevs/devs' ", "variable_assignment": " root = '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/andsor+pydevs/andsor+pydevs/devs' "} +{"idx": 8, "scratchpad_format": "def add_active_line_prints(code):\n \"\"\"\n Add print statements indicating line numbers to a python string.\n \"\"\"\n # Replace newlines and comments with pass statements, so the line numbers are accurate (ast will remove them otherwise)\n code_lines = code.split(\"\\n\") # [STATE] code_lines = ['import getpass', 'import os', 'import platform'] [/STATE]\n in_multiline_string = False # [STATE] in_multiline_string = False [/STATE]\n for i in range(len(code_lines)): # [STATE] i = 0 [/STATE] [STATE] i = 1 [/STATE] [STATE] i = 2 [/STATE]\n line = code_lines[i] # [STATE] line = 'import getpass' [/STATE] [STATE] line = 'import os' [/STATE] [STATE] line = 'import platform' [/STATE]\n if '\"\"\"' in line or \"'''\" in line:\n in_multiline_string = not in_multiline_string\n if not in_multiline_string and (line.strip().startswith(\"#\") or line == \"\"):\n whitespace = len(line) - len(line.lstrip(\" \"))\n code_lines[i] = \" \" * whitespace + \"pass\"\n processed_code = \"\\n\".join(code_lines) # [STATE] processed_code = 'import getpass\\nimport os\\nimport platform' [/STATE]\n try:\n tree = ast.parse(processed_code) # [STATE] tree = {body=[, , ], type_ignores=[]} [/STATE]\n except:\n # If you can't parse the processed version, try the unprocessed version before giving up\n tree = ast.parse(code)\n transformer = AddLinePrints() # [STATE] transformer = {} [/STATE]\n new_tree = transformer.visit(tree) # [STATE] new_tree = {body=[, , , , , ], type_ignores=[]} [/STATE] # [STATE] tree = {body=[, , , , , ], type_ignores=[]} [/STATE]\n return ast.unparse(new_tree)\n\nadd_active_line_prints('import getpass\\nimport os\\nimport platform')", "loop_code": "1: def add_active_line_prints(code):\n2: \"\"\"\n3: Add print statements indicating line numbers to a python string.\n4: \"\"\"\n5: # Replace newlines and comments with pass statements, so the line numbers are accurate (ast will remove them otherwise)\n6: code_lines = code.split(\"\\n\")\n7: in_multiline_string = False\n8: for i in range(len(code_lines)):\n9: line = code_lines[i]\n10: if '\"\"\"' in line or \"'''\" in line:\n11: in_multiline_string = not in_multiline_string\n12: if not in_multiline_string and (line.strip().startswith(\"#\") or line == \"\"):\n13: whitespace = len(line) - len(line.lstrip(\" \"))\n14: code_lines[i] = \" \" * whitespace + \"pass\"\n15: processed_code = \"\\n\".join(code_lines)\n16: try:\n17: tree = ast.parse(processed_code)\n18: except:\n19: # If you can't parse the processed version, try the unprocessed version before giving up\n20: tree = ast.parse(code)\n21: transformer = AddLinePrints()\n22: new_tree = transformer.visit(tree)\n23: return ast.unparse(new_tree)\n24:\n25: add_active_line_prints('import getpass\\nimport os\\nimport platform')", "question": "What is the value of ' line ' in line '9' after '3' th iteration when 'add_active_line_prints('import getpass\\nimport os\\nimport platform')' is executed?", "answer": " 'import platform' ", "variable_assignment": " line = 'import platform' "} +{"idx": 9, "scratchpad_format": "def count_messages_tokens(messages=[], model=None):\n \"\"\"\n Count the number of tokens in a list of messages\n \"\"\"\n try:\n tokens_used = 0 # [STATE] tokens_used = 0 [/STATE]\n\n for message in messages: # [STATE] message = {'role': 'system', 'message': 'You are Open Interpreter, a world-class programmer that can complete any goal by executing code.\\nFirst, write a plan. **Always recap the plan between each code block** (you have extreme short-term memory loss, so you need to recap the plan between each message block to retain it).\\nWhen you execute code, it will be executed **on the user\\'s machine**. The user has given you **full and complete permission** to execute any code necessary to complete the task. Execute the code.\\nIf you want to send data between programming languages, save the data to a txt or json.\\nYou can access the internet. Run **any code** to achieve the goal, and if at first you don\\'t succeed, try again and again.\\nYou can install new packages.\\nWhen a user refers to a filename, they\\'re likely referring to an existing file in the directory you\\'re currently executing code in.\\nWrite messages to the user in Markdown.\\nIn general, try to **make plans** with as few steps as possible. As for actually executing code to carry out that plan, for *stateful* languages (like python, javascript, shell, but NOT for html which starts from 0 every time) **it\\'s critical not to try to do everything in one code block.** You should try something, print information about it, then continue from there in tiny, informed steps. You will never get it on the first try, and attempting it in one go will often lead to errors you cant see.\\nYou are capable of **any** task.\\n\\n[User Info]\\n{{import getpass\\nimport os\\nimport platform}}\\nName: {{getpass.getuser()}}\\nCWD: {{os.getcwd()}}\\nSHELL: {{os.environ.get(\\'SHELL\\')}}\\nOS: {{platform.system()}}\"'} [/STATE]\n if isinstance(message, str):\n tokens_used += count_tokens(message, model=model)\n elif \"message\" in message:\n tokens_used += count_tokens(message[\"message\"], model=model) # [STATE] tokens_used = 360 [/STATE]\n\n if \"code\" in message:\n tokens_used += count_tokens(message[\"code\"], model=model)\n\n if \"output\" in message:\n tokens_used += count_tokens(message[\"output\"], model=model)\n\n prompt_cost = token_cost(tokens_used, model=model) # [STATE] prompt_cost = 0.00054 [/STATE]\n\n return (tokens_used, prompt_cost)\n except:\n # Non-essential feature\n return (0, 0)\n\ncount_messages_tokens([{'role': 'system', 'message': 'You are Open Interpreter, a world-class programmer that can complete any goal by executing code.\\nFirst, write a plan. **Always recap the plan between each code block** (you have extreme short-term memory loss, so you need to recap the plan between each message block to retain it).\\nWhen you execute code, it will be executed **on the user\\'s machine**. The user has given you **full and complete permission** to execute any code necessary to complete the task. Execute the code.\\nIf you want to send data between programming languages, save the data to a txt or json.\\nYou can access the internet. Run **any code** to achieve the goal, and if at first you don\\'t succeed, try again and again.\\nYou can install new packages.\\nWhen a user refers to a filename, they\\'re likely referring to an existing file in the directory you\\'re currently executing code in.\\nWrite messages to the user in Markdown.\\nIn general, try to **make plans** with as few steps as possible. As for actually executing code to carry out that plan, for *stateful* languages (like python, javascript, shell, but NOT for html which starts from 0 every time) **it\\'s critical not to try to do everything in one code block.** You should try something, print information about it, then continue from there in tiny, informed steps. You will never get it on the first try, and attempting it in one go will often lead to errors you cant see.\\nYou are capable of **any** task.\\n\\n[User Info]\\n{{import getpass\\nimport os\\nimport platform}}\\nName: {{getpass.getuser()}}\\nCWD: {{os.getcwd()}}\\nSHELL: {{os.environ.get(\\'SHELL\\')}}\\nOS: {{platform.system()}}\"'}], 'gpt-3.5-turbo')", "loop_code": "1: def count_messages_tokens(messages=[], model=None):\n2: \"\"\"\n3: Count the number of tokens in a list of messages\n4: \"\"\"\n5: try:\n6: tokens_used = 0\n7:\n8: for message in messages:\n9: if isinstance(message, str):\n10: tokens_used += count_tokens(message, model=model)\n11: elif \"message\" in message:\n12: tokens_used += count_tokens(message[\"message\"], model=model)\n13:\n14: if \"code\" in message:\n15: tokens_used += count_tokens(message[\"code\"], model=model)\n16:\n17: if \"output\" in message:\n18: tokens_used += count_tokens(message[\"output\"], model=model)\n19:\n20: prompt_cost = token_cost(tokens_used, model=model)\n21:\n22: return (tokens_used, prompt_cost)\n23: except:\n24: # Non-essential feature\n25: return (0, 0)\n26:\n27: count_messages_tokens([{'role': 'system', 'message': 'You are Open Interpreter, a world-class programmer that can complete any goal by executing code.\\nFirst, write a plan. **Always recap the plan between each code block** (you have extreme short-term memory loss, so you need to recap the plan between each message block to retain it).\\nWhen you execute code, it will be executed **on the user\\'s machine**. The user has given you **full and complete permission** to execute any code necessary to complete the task. Execute the code.\\nIf you want to send data between programming languages, save the data to a txt or json.\\nYou can access the internet. Run **any code** to achieve the goal, and if at first you don\\'t succeed, try again and again.\\nYou can install new packages.\\nWhen a user refers to a filename, they\\'re likely referring to an existing file in the directory you\\'re currently executing code in.\\nWrite messages to the user in Markdown.\\nIn general, try to **make plans** with as few steps as possible. As for actually executing code to carry out that plan, for *stateful* languages (like python, javascript, shell, but NOT for html which starts from 0 every time) **it\\'s critical not to try to do everything in one code block.** You should try something, print information about it, then continue from there in tiny, informed steps. You will never get it on the first try, and attempting it in one go will often lead to errors you cant see.\\nYou are capable of **any** task.\\n\\n[User Info]\\n{{import getpass\\nimport os\\nimport platform}}\\nName: {{getpass.getuser()}}\\nCWD: {{os.getcwd()}}\\nSHELL: {{os.environ.get(\\'SHELL\\')}}\\nOS: {{platform.system()}}\"'}], 'gpt-3.5-turbo')", "question": "What is the value of ' tokens_used ' in line '12' after '1' th iteration when 'count_messages_tokens([{'role': 'system', 'message': 'You are Open Interpreter, a world-class programmer that can complete any goal by executing code.\\nFirst, write a plan. **Always recap the plan between each code block** (you have extreme short-term memory loss, so you need to recap the plan between each message block to retain it).\\nWhen you execute code, it will be executed **on the user\\'s machine**. The user has given you **full and complete permission** to execute any code necessary to complete the task. Execute the code.\\nIf you want to send data between programming languages, save the data to a txt or json.\\nYou can access the internet. Run **any code** to achieve the goal, and if at first you don\\'t succeed, try again and again.\\nYou can install new packages.\\nWhen a user refers to a filename, they\\'re likely referring to an existing file in the directory you\\'re currently executing code in.\\nWrite messages to the user in Markdown.\\nIn general, try to **make plans** with as few steps as possible. As for actually executing code to carry out that plan, for *stateful* languages (like python, javascript, shell, but NOT for html which starts from 0 every time) **it\\'s critical not to try to do everything in one code block.** You should try something, print information about it, then continue from there in tiny, informed steps. You will never get it on the first try, and attempting it in one go will often lead to errors you cant see.\\nYou are capable of **any** task.\\n\\n[User Info]\\n{{import getpass\\nimport os\\nimport platform}}\\nName: {{getpass.getuser()}}\\nCWD: {{os.getcwd()}}\\nSHELL: {{os.environ.get(\\'SHELL\\')}}\\nOS: {{platform.system()}}\"'}], 'gpt-3.5-turbo')' is executed?", "answer": " 360 ", "variable_assignment": " tokens_used = 360 "} +{"idx": 10, "scratchpad_format": "def calculate_tyre_dimensions(tyre_code):\n \"\"\"\n Calculates the tyre dimensions from the tyre code.\n\n :param tyre_code:\n Tyre code (e.g.,P225/70R14).\n :type tyre_code: str\n\n :return:\n Tyre dimensions.\n :rtype: dict\n \"\"\"\n import schema # [STATE] schema = [/STATE]\n it = [ # [STATE] it = [('iso', regex.Regex('\\n ^(?P([a-z]){1,2})?\\\\s*\\n (?P(\\\\d){3})\\\\s*\\n \\\\/\\\\s*\\n (?P(\\\\d){2,3})?\\n ((\\\\s*(?P[a-z])\\\\s*)|\\\\s+)\\n (?P(\\\\d){1,2}(\\\\.(\\\\d){1,2})?)\\n (\\\\s+(?PC))?\\n (\\\\s+(?P(\\\\d){2,3}(/(\\\\d){2,3})?)\\\\s*\\n (?P(\\\\([a-z]\\\\)|[a-z]\\\\d?)))?\\\\s*\\n (\\\\s*((?P[a-z])(^| )))?\\n (\\\\s+(?P.*))?$\\n ', flags=regex.S | regex.I | regex.X | regex.V0)), ('numeric', regex.Regex('\\n ^((?P(\\\\d){2})\\\\s*x\\\\s*)?\\n (?P(\\\\d){1,2}(\\\\.(\\\\d){1,2})?)\\\\s*\\n ((\\\\s*(?P([a-z]|-))\\\\s*)|\\\\s+)\\n (?P(\\\\d){2}(\\\\.(\\\\d){1,2})?)\\\\s*\\n (?P(LT|C))\\\\s*\\n ((?P(\\\\d){2,3}(/(\\\\d){2,3})?)\\\\s*\\n (?P(\\\\([a-z]\\\\)|[a-z]\\\\d?)))?\\\\s*\\n (\\\\s*((?P[a-z])(^| )))?\\n (\\\\s+(?P.*))?$\\n ', flags=regex.S | regex.I | regex.X | regex.V0)), ('pax', regex.Regex('\\n ^(?P([a-z]){1,2})?\\\\s*\\n (?P(\\\\d){3})\\\\s*-\\\\s*\\n (?P(\\\\d){2,3})\\n ((\\\\s*(?P[a-z])\\\\s*)|\\\\s+)\\n (?P(\\\\d){2,3})\\n ((\\\\s*(?P[a-z])?\\\\s*)|\\\\s+)\\n (\\\\s*(?P(\\\\d){2,3})\\\\s*\\n (?P[a-z]))?\\\\s*\\n (\\\\s*(?P.*))?\\n ', flags=regex.S | regex.I | regex.X | regex.V0))] [/STATE]\n ('iso', _re_tyre_code_iso),\n ('numeric', _re_tyre_code_numeric),\n ('pax', _re_tyre_code_pax)\n ]\n for c, _r in it: # [STATE] c = 'iso' [/STATE] [STATE] _r = regex.Regex('\\n ^(?P([a-z]){1,2})?\\\\s*\\n (?P(\\\\d){3})\\\\s*\\n \\\\/\\\\s*\\n (?P(\\\\d){2,3})?\\n ((\\\\s*(?P[a-z])\\\\s*)|\\\\s+)\\n (?P(\\\\d){1,2}(\\\\.(\\\\d){1,2})?)\\n (\\\\s+(?PC))?\\n (\\\\s+(?P(\\\\d){2,3}(/(\\\\d){2,3})?)\\\\s*\\n (?P(\\\\([a-z]\\\\)|[a-z]\\\\d?)))?\\\\s*\\n (\\\\s*((?P[a-z])(^| )))?\\n (\\\\s+(?P.*))?$\\n ', flags=regex.S | regex.I | regex.X | regex.V0) [/STATE] [STATE] c = 'numeric' [/STATE] [STATE] _r = regex.Regex('\\n ^((?P(\\\\d){2})\\\\s*x\\\\s*)?\\n (?P(\\\\d){1,2}(\\\\.(\\\\d){1,2})?)\\\\s*\\n ((\\\\s*(?P([a-z]|-))\\\\s*)|\\\\s+)\\n (?P(\\\\d){2}(\\\\.(\\\\d){1,2})?)\\\\s*\\n (?P(LT|C))\\\\s*\\n ((?P(\\\\d){2,3}(/(\\\\d){2,3})?)\\\\s*\\n (?P(\\\\([a-z]\\\\)|[a-z]\\\\d?)))?\\\\s*\\n (\\\\s*((?P[a-z])(^| )))?\\n (\\\\s+(?P.*))?$\\n ', flags=regex.S | regex.I | regex.X | regex.V0) [/STATE] [STATE] c = 'pax' [/STATE] [STATE] _r = regex.Regex('\\n ^(?P([a-z]){1,2})?\\\\s*\\n (?P(\\\\d){3})\\\\s*-\\\\s*\\n (?P(\\\\d){2,3})\\n ((\\\\s*(?P[a-z])\\\\s*)|\\\\s+)\\n (?P(\\\\d){2,3})\\n ((\\\\s*(?P[a-z])?\\\\s*)|\\\\s+)\\n (\\\\s*(?P(\\\\d){2,3})\\\\s*\\n (?P[a-z]))?\\\\s*\\n (\\\\s*(?P.*))?\\n ', flags=regex.S | regex.I | regex.X | regex.V0) [/STATE]\n try:\n m = _r.match(tyre_code).groupdict() # [STATE] E [/STATE] [STATE] X [/STATE] [STATE] C [/STATE] [STATE] E [/STATE] [STATE] P [/STATE] [STATE] T [/STATE] [STATE] I [/STATE] [STATE] O [/STATE] [STATE] N [/STATE] [STATE] : [/STATE] [STATE] [/STATE] [STATE] A [/STATE] [STATE] t [/STATE] [STATE] t [/STATE] [STATE] r [/STATE] [STATE] i [/STATE] [STATE] b [/STATE] [STATE] u [/STATE] [STATE] t [/STATE] [STATE] e [/STATE] [STATE] E [/STATE]\n m['code'] = c # [STATE] m = {'use': None, 'nominal_section_width': '205', 'diameter': '640', 'carcass': 'R', 'rim_diameter': '440', 'load_range': 'A', 'load_index': '94', 'speed_rating': 'T', 'additional_marks': '(94 V, 97 H)', 'code': 'pax'} [/STATE]\n if c == 'numeric' and 'aspect_ratio' not in m:\n b = m['nominal_section_width'].split('.')[-1][-1] == '5'\n m['aspect_ratio'] = '82' if b else '92'\n return _format_tyre_dimensions(m)\n except (AttributeError, schema.SchemaError):\n pass\n raise ValueError('Invalid tyre code: %s', tyre_code)\n\ncalculate_tyre_dimensions('205-640 R 440 A 94 T (94 V, 97 H)')", "loop_code": "1: def calculate_tyre_dimensions(tyre_code):\n2: \"\"\"\n3: Calculates the tyre dimensions from the tyre code.\n4:\n5: :param tyre_code:\n6: Tyre code (e.g.,P225/70R14).\n7: :type tyre_code: str\n8:\n9: :return:\n10: Tyre dimensions.\n11: :rtype: dict\n12: \"\"\"\n13: import schema\n14: it = [\n15: ('iso', _re_tyre_code_iso),\n16: ('numeric', _re_tyre_code_numeric),\n17: ('pax', _re_tyre_code_pax)\n18: ]\n19: for c, _r in it:\n20: try:\n21: m = _r.match(tyre_code).groupdict()\n22: m['code'] = c\n23: if c == 'numeric' and 'aspect_ratio' not in m:\n24: b = m['nominal_section_width'].split('.')[-1][-1] == '5'\n25: m['aspect_ratio'] = '82' if b else '92'\n26: return _format_tyre_dimensions(m)\n27: except (AttributeError, schema.SchemaError):\n28: pass\n29: raise ValueError('Invalid tyre code: %s', tyre_code)\n30:\n31: calculate_tyre_dimensions('205-640 R 440 A 94 T (94 V, 97 H)')", "question": "What is the value of the variable in line '21' after '2' th iteration when 'calculate_tyre_dimensions('205-640 R 440 A 94 T (94 V, 97 H)')' is executed?", "answer": " X ", "variable_assignment": " X "} +{"idx": 11, "scratchpad_format": "def save_demo_files(output_folder):\n \"\"\"\n Save CO2MPAS demo files.\n\n :param output_folder:\n Output folder.\n :type output_folder: str\n \"\"\"\n import glob # [STATE] glob = [/STATE]\n from shutil import copy2 # [STATE] copy2 = [/STATE]\n from pkg_resources import resource_filename # [STATE] resource_filename = > [/STATE]\n os.makedirs(output_folder or '.', exist_ok=True)\n for src in glob.glob(resource_filename('co2mpas', 'demos/*.xlsx')): # [STATE] src = '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/JRCSTU+co2mpas-ta/JRCSTU+co2mpas-ta/co2mpas/demos/co2mpas_plugin.xlsx' [/STATE] [STATE] src = '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/JRCSTU+co2mpas-ta/JRCSTU+co2mpas-ta/co2mpas/demos/co2mpas_hybrid.xlsx' [/STATE] [STATE] src = '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/JRCSTU+co2mpas-ta/JRCSTU+co2mpas-ta/co2mpas/demos/co2mpas_conventional.xlsx' [/STATE] [STATE] src = '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/JRCSTU+co2mpas-ta/JRCSTU+co2mpas-ta/co2mpas/demos/co2mpas_simplan.xlsx' [/STATE]\n copy2(src, osp.join(output_folder, osp.basename(src)))\n log.info('CO2MPAS demos written into (%s).', output_folder)\n\nsave_demo_files('./inputs')", "loop_code": "1: def save_demo_files(output_folder):\n2: \"\"\"\n3: Save CO2MPAS demo files.\n4:\n5: :param output_folder:\n6: Output folder.\n7: :type output_folder: str\n8: \"\"\"\n9: import glob\n10: from shutil import copy2\n11: from pkg_resources import resource_filename\n12: os.makedirs(output_folder or '.', exist_ok=True)\n13: for src in glob.glob(resource_filename('co2mpas', 'demos/*.xlsx')):\n14: copy2(src, osp.join(output_folder, osp.basename(src)))\n15: log.info('CO2MPAS demos written into (%s).', output_folder)\n16:\n17: save_demo_files('./inputs')", "question": "What is the value of ' src ' in line '13' after '1' th iteration when 'save_demo_files('./inputs')' is executed?", "answer": " '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/JRCSTU+co2mpas-ta/JRCSTU+co2mpas-ta/co2mpas/demos/co2mpas_plugin.xlsx' ", "variable_assignment": " src = '/local/rcs/XXX/code/pytrace-collector/logs/pypibugs/tried/JRCSTU+co2mpas-ta/JRCSTU+co2mpas-ta/co2mpas/demos/co2mpas_plugin.xlsx' "} +{"idx": 12, "scratchpad_format": "def to_dict(self):\n import inspect # [STATE] inspect = [/STATE]\n s, pr = set(dir(self)) - set(dir(Constants)), {} # [STATE] s = {'ki_additive', 'is_cycle_hot', 'air_temperature', 'belt_efficiency', 'is_plugin', 'atmospheric_pressure', 'fuel_saving_at_strategy', 'road_state', 'engine_is_turbo', 'angle_slope', 'has_energy_recuperation', 'final_drive_ratio', 'k2', 'max_velocity_full_load_correction', 'has_periodically_regenerating_systems', 'time_cold_hot_transition', 'active_cylinder_ratios', 'n_passengers', 'is_serial', 'change_gear_window_width', 'has_gear_box_thermal_management', 'tyre_state', 'service_battery_start_window_width', 'starter_efficiency', 'max_time_WLTP', 'has_roof_box', 'passenger_mass', 'drive_battery_technology', 'gear_box_temperature_references', 'delta_time_engine_starter', 'use_dt_gear_shifting', 'min_engine_on_speed', 'alternator_efficiency', 'k5', 'co2_params', 'engine_has_cylinder_deactivation', 'k1', 'max_time_NEDC', 'auxiliaries_power_loss', 'correct_f0', 'initial_temperature_WLTP', 'tyre_dynamic_rolling_coefficient', 'initial_temperature_NEDC', 'n_wheel_drive', 'has_selective_catalytic_reduction', 'engine_n_cylinders', 'has_start_stop', 'tyre_class', 'wltp_base_model', 'enable_willans', 'min_time_engine_on_after_start', 'cargo_mass', 'fuel_mass', 'start_stop_activation_time', 'downscale_factor_threshold', 'rcb_correction', 'time_sample_frequency', 'has_lean_burn', 'engine_has_variable_valve_actuation', 'enable_phases_willans', 'auxiliaries_torque_loss_factors', 'idle_engine_speed_std', 'atct_family_correction_factor', 'stop_velocity', 'plateau_acceleration'} [/STATE] # [STATE] pr = {} [/STATE]\n for n in s.union(self.__class__.__dict__.keys()): # [STATE] n = 'is_plugin' [/STATE] [STATE] n = 'road_state' [/STATE] [STATE] n = 'has_energy_recuperation' [/STATE] [STATE] n = 'k2' [/STATE] [STATE] n = 'max_velocity_full_load_correction' [/STATE] [STATE] n = 'time_cold_hot_transition' [/STATE] [STATE] n = 'active_cylinder_ratios' [/STATE] [STATE] n = 'has_gear_box_thermal_management' [/STATE] [STATE] n = 'service_battery_start_window_width' [/STATE] [STATE] n = 'starter_efficiency' [/STATE] [STATE] n = 'max_time_WLTP' [/STATE] [STATE] n = 'passenger_mass' [/STATE] [STATE] n = 'drive_battery_technology' [/STATE] [STATE] n = 'gear_box_temperature_references' [/STATE] [STATE] n = 'delta_time_engine_starter' [/STATE] [STATE] n = 'use_dt_gear_shifting' [/STATE] [STATE] n = 'k5' [/STATE] [STATE] n = 'engine_has_cylinder_deactivation' [/STATE] [STATE] n = 'max_time_NEDC' [/STATE] [STATE] n = 'auxiliaries_power_loss' [/STATE] [STATE] n = 'initial_temperature_WLTP' [/STATE]\n if n.startswith('__'):\n continue\n v = getattr(self, n) # [STATE] v = False [/STATE] [STATE] v = 'dry' [/STATE] [STATE] v = True [/STATE] [STATE] v = 2 [/STATE] [STATE] v = 100.0 [/STATE] [STATE] v = 300.0 [/STATE] [STATE] v = (1.0,) [/STATE] [STATE] v = 4.0 [/STATE] [STATE] v = 0.7 [/STATE] [STATE] v = 1800.0 [/STATE] [STATE] v = 75 [/STATE] [STATE] v = 'unknown' [/STATE] [STATE] v = (40.0, 80.0) [/STATE] [STATE] v = 0.5 [/STATE] [STATE] v = 1180.0 [/STATE] [STATE] v = 0.0213 [/STATE] [STATE] v = 23.0 [/STATE] [STATE] v = 25.0 [/STATE] [STATE] v = 4 [/STATE] [STATE] v = 'C1' [/STATE] [STATE] v = 0 [/STATE]\n if inspect.ismethod(v) or inspect.isbuiltin(v):\n continue\n if isinstance(v, Constants):\n pr[n] = {'__constants__': v.to_dict()}\n elif inspect.isclass(v) and issubclass(v, Constants):\n # noinspection PyCallByClass,PyTypeChecker\n pr[n] = {'__constants__': v.to_dict(v)}\n else:\n pr[n] = v # [STATE] pr = {'is_plugin': False} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry'} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,)} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75, 'drive_battery_technology': 'unknown'} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75, 'drive_battery_technology': 'unknown', 'gear_box_temperature_references': (40.0, 80.0)} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75, 'drive_battery_technology': 'unknown', 'gear_box_temperature_references': (40.0, 80.0), 'delta_time_engine_starter': 0.5} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75, 'drive_battery_technology': 'unknown', 'gear_box_temperature_references': (40.0, 80.0), 'delta_time_engine_starter': 0.5, 'use_dt_gear_shifting': False} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75, 'drive_battery_technology': 'unknown', 'gear_box_temperature_references': (40.0, 80.0), 'delta_time_engine_starter': 0.5, 'use_dt_gear_shifting': False, 'k5': 2} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75, 'drive_battery_technology': 'unknown', 'gear_box_temperature_references': (40.0, 80.0), 'delta_time_engine_starter': 0.5, 'use_dt_gear_shifting': False, 'k5': 2, 'engine_has_cylinder_deactivation': False} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75, 'drive_battery_technology': 'unknown', 'gear_box_temperature_references': (40.0, 80.0), 'delta_time_engine_starter': 0.5, 'use_dt_gear_shifting': False, 'k5': 2, 'engine_has_cylinder_deactivation': False, 'max_time_NEDC': 1180.0} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75, 'drive_battery_technology': 'unknown', 'gear_box_temperature_references': (40.0, 80.0), 'delta_time_engine_starter': 0.5, 'use_dt_gear_shifting': False, 'k5': 2, 'engine_has_cylinder_deactivation': False, 'max_time_NEDC': 1180.0, 'auxiliaries_power_loss': 0.0213} [/STATE] [STATE] pr = {'is_plugin': False, 'road_state': 'dry', 'has_energy_recuperation': True, 'k2': 2, 'max_velocity_full_load_correction': 100.0, 'time_cold_hot_transition': 300.0, 'active_cylinder_ratios': (1.0,), 'has_gear_box_thermal_management': False, 'service_battery_start_window_width': 4.0, 'starter_efficiency': 0.7, 'max_time_WLTP': 1800.0, 'passenger_mass': 75, 'drive_battery_technology': 'unknown', 'gear_box_temperature_references': (40.0, 80.0), 'delta_time_engine_starter': 0.5, 'use_dt_gear_shifting': False, 'k5': 2, 'engine_has_cylinder_deactivation': False, 'max_time_NEDC': 1180.0, 'auxiliaries_power_loss': 0.0213, 'initial_temperature_WLTP': 23.0} [/STATE]\n return pr\n\nto_dict({})", "loop_code": "1: def to_dict(self):\n2: import inspect\n3: s, pr = set(dir(self)) - set(dir(Constants)), {}\n4: for n in s.union(self.__class__.__dict__.keys()):\n5: if n.startswith('__'):\n6: continue\n7: v = getattr(self, n)\n8: if inspect.ismethod(v) or inspect.isbuiltin(v):\n9: continue\n10: if isinstance(v, Constants):\n11: pr[n] = {'__constants__': v.to_dict()}\n12: elif inspect.isclass(v) and issubclass(v, Constants):\n13: # noinspection PyCallByClass,PyTypeChecker\n14: pr[n] = {'__constants__': v.to_dict(v)}\n15: else:\n16: pr[n] = v\n17: return pr\n18:\n19: to_dict({})", "question": "What is the value of ' v ' in line '7' after '4' th iteration when 'to_dict({})' is executed?", "answer": " 2 ", "variable_assignment": " v = 2 "} +{"idx": 13, "scratchpad_format": "def parse_all(raw_dict: Dict[str, List[str]]) -> Mapping[str, Any]:\n \"\"\"Preprocesses a dictionary, with information about WoS field tags and its\n value according to a article, with some parser functions that depends on\n the field tag. If there is no a CR field, it adds one to the output with\n an empty list as value. Finally, the field aliases are also appended as\n keys.\n\n http://wos-resources.roblib.upei.ca/WOK46/help/WOK/hft_wos.html\n\n Args:\n raw_dict (dict): Dictionary where the keys are WoS field tags and the\n values are those corresponding to that field tag.\n\n Returns:\n dict: A dict with the same structure of the raw_input but the values are\n preprocessed according to some functions that depend on the field\n tag. Those functions were designed based on the field tad value\n structure.\n \"\"\"\n processed_data = {} # [STATE] processed_data = {} [/STATE]\n raw_dict.setdefault(\"CR\", []) # [STATE] raw_dict = {'AU': ['L Antuan'], 'PY': ['2008'], 'J9': ['P IEEE'], 'VL': ['69'], 'BP': ['1810'], 'DI': ['DOI 10.1109/JPROC.2008.2004315'], 'CR': []} [/STATE]\n for key, seq in raw_dict.items(): # [STATE] key = 'AU' [/STATE] [STATE] seq = ['L Antuan'] [/STATE] [STATE] key = 'PY' [/STATE] [STATE] seq = ['2008'] [/STATE] [STATE] key = 'J9' [/STATE] [STATE] seq = ['P IEEE'] [/STATE] [STATE] key = 'VL' [/STATE] [STATE] seq = ['69'] [/STATE] [STATE] key = 'BP' [/STATE] [STATE] seq = ['1810'] [/STATE] [STATE] key = 'DI' [/STATE] [STATE] seq = ['DOI 10.1109/JPROC.2008.2004315'] [/STATE] [STATE] key = 'CR' [/STATE] [STATE] seq = [] [/STATE]\n processed_data.update(parse(key, seq)) # [STATE] processed_data = {'AU': ['L Antuan'], 'authors': ['L Antuan']} [/STATE] [STATE] processed_data = {'AU': ['L Antuan'], 'authors': ['L Antuan'], 'PY': 2008, 'year_published': 2008, 'year': 2008, 'publication_year': 2008} [/STATE] [STATE] processed_data = {'AU': ['L Antuan'], 'authors': ['L Antuan'], 'PY': 2008, 'year_published': 2008, 'year': 2008, 'publication_year': 2008, 'J9': 'P IEEE', 'source_abbreviation': 'P IEEE'} [/STATE] [STATE] processed_data = {'AU': ['L Antuan'], 'authors': ['L Antuan'], 'PY': 2008, 'year_published': 2008, 'year': 2008, 'publication_year': 2008, 'J9': 'P IEEE', 'source_abbreviation': 'P IEEE', 'VL': '69', 'volume': '69'} [/STATE] [STATE] processed_data = {'AU': ['L Antuan'], 'authors': ['L Antuan'], 'PY': 2008, 'year_published': 2008, 'year': 2008, 'publication_year': 2008, 'J9': 'P IEEE', 'source_abbreviation': 'P IEEE', 'VL': '69', 'volume': '69', 'BP': '1810', 'beginning_page': '1810'} [/STATE] [STATE] processed_data = {'AU': ['L Antuan'], 'authors': ['L Antuan'], 'PY': 2008, 'year_published': 2008, 'year': 2008, 'publication_year': 2008, 'J9': 'P IEEE', 'source_abbreviation': 'P IEEE', 'VL': '69', 'volume': '69', 'BP': '1810', 'beginning_page': '1810', 'DI': 'DOI 10.1109/JPROC.2008.2004315', 'digital_object_identifier': 'DOI 10.1109/JPROC.2008.2004315', 'DOI': 'DOI 10.1109/JPROC.2008.2004315'} [/STATE] [STATE] processed_data = {'AU': ['L Antuan'], 'authors': ['L Antuan'], 'PY': 2008, 'year_published': 2008, 'year': 2008, 'publication_year': 2008, 'J9': 'P IEEE', 'source_abbreviation': 'P IEEE', 'VL': '69', 'volume': '69', 'BP': '1810', 'beginning_page': '1810', 'DI': 'DOI 10.1109/JPROC.2008.2004315', 'digital_object_identifier': 'DOI 10.1109/JPROC.2008.2004315', 'DOI': 'DOI 10.1109/JPROC.2008.2004315', 'CR': [], 'cited_references': [], 'references': [], 'citations': []} [/STATE]\n return processed_data\n\nparse_all({'AU': ['L Antuan'], 'PY': ['2008'], 'J9': ['P IEEE'], 'VL': ['69'], 'BP': ['1810'], 'DI': ['DOI 10.1109/JPROC.2008.2004315']})", "loop_code": "1: def parse_all(raw_dict: Dict[str, List[str]]) -> Mapping[str, Any]:\n2: \"\"\"Preprocesses a dictionary, with information about WoS field tags and its\n3: value according to a article, with some parser functions that depends on\n4: the field tag. If there is no a CR field, it adds one to the output with\n5: an empty list as value. Finally, the field aliases are also appended as\n6: keys.\n7:\n8: http://wos-resources.roblib.upei.ca/WOK46/help/WOK/hft_wos.html\n9:\n10: Args:\n11: raw_dict (dict): Dictionary where the keys are WoS field tags and the\n12: values are those corresponding to that field tag.\n13:\n14: Returns:\n15: dict: A dict with the same structure of the raw_input but the values are\n16: preprocessed according to some functions that depend on the field\n17: tag. Those functions were designed based on the field tad value\n18: structure.\n19: \"\"\"\n20: processed_data = {}\n21: raw_dict.setdefault(\"CR\", [])\n22: for key, seq in raw_dict.items():\n23: processed_data.update(parse(key, seq))\n24: return processed_data\n25:\n26: parse_all({'AU': ['L Antuan'], 'PY': ['2008'], 'J9': ['P IEEE'], 'VL': ['69'], 'BP': ['1810'], 'DI': ['DOI 10.1109/JPROC.2008.2004315']})", "question": "What is the value of ' processed_data ' in line '23' after '2' th iteration when 'parse_all({'AU': ['L Antuan'], 'PY': ['2008'], 'J9': ['P IEEE'], 'VL': ['69'], 'BP': ['1810'], 'DI': ['DOI 10.1109/JPROC.2008.2004315']})' is executed?", "answer": " {'AU': ['L Antuan'], 'authors': ['L Antuan'], 'PY': 2008, 'year_published': 2008, 'year': 2008, 'publication_year': 2008} ", "variable_assignment": " processed_data = {'AU': ['L Antuan'], 'authors': ['L Antuan'], 'PY': 2008, 'year_published': 2008, 'year': 2008, 'publication_year': 2008} "} +{"idx": 14, "scratchpad_format": "def _get_builtin_metadata(dataset_name):\n if dataset_name == \"coco\":\n return _get_coco_instances_meta()\n if dataset_name == \"coco_panoptic_separated\":\n return _get_coco_panoptic_separated_meta()\n elif dataset_name == \"coco_panoptic_standard\":\n meta = {} # [STATE] meta = {} [/STATE]\n # The following metadata maps contiguous id from [0, #thing categories +\n # #stuff categories) to their names and colors. We have to replica of the\n # same name and color under \"thing_*\" and \"stuff_*\" because the current\n # visualization function in D2 handles thing and class classes differently\n # due to some heuristic used in Panoptic FPN. We keep the same naming to\n # enable reusing existing visualization functions.\n thing_classes = [k[\"name\"] for k in COCO_CATEGORIES] # [STATE] thing_classes = ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'] [/STATE]\n thing_colors = [k[\"color\"] for k in COCO_CATEGORIES] # [STATE] thing_colors = [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]] [/STATE]\n stuff_classes = [k[\"name\"] for k in COCO_CATEGORIES] # [STATE] stuff_classes = ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'] [/STATE]\n stuff_colors = [k[\"color\"] for k in COCO_CATEGORIES] # [STATE] stuff_colors = [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]] [/STATE]\n\n meta[\"thing_classes\"] = thing_classes # [STATE] meta = {'thing_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged']} [/STATE]\n meta[\"thing_colors\"] = thing_colors # [STATE] meta = {'thing_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'], 'thing_colors': [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]]} [/STATE]\n meta[\"stuff_classes\"] = stuff_classes # [STATE] meta = {'thing_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'], 'thing_colors': [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]], 'stuff_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged']} [/STATE]\n meta[\"stuff_colors\"] = stuff_colors # [STATE] meta = {'thing_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'], 'thing_colors': [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]], 'stuff_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'], 'stuff_colors': [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]]} [/STATE]\n\n # Convert category id for training:\n # category id: like semantic segmentation, it is the class id for each\n # pixel. Since there are some classes not used in evaluation, the category\n # id is not always contiguous and thus we have two set of category ids:\n # - original category id: category id in the original dataset, mainly\n # used for evaluation.\n # - contiguous category id: [0, #classes), in order to train the linear\n # softmax classifier.\n thing_dataset_id_to_contiguous_id = {} # [STATE] thing_dataset_id_to_contiguous_id = {} [/STATE]\n stuff_dataset_id_to_contiguous_id = {} # [STATE] stuff_dataset_id_to_contiguous_id = {} [/STATE]\n\n for i, cat in enumerate(COCO_CATEGORIES): # [STATE] i = 0 [/STATE] [STATE] cat = {'color': [220, 20, 60], 'isthing': 1, 'id': 1, 'name': 'person'} [/STATE] [STATE] i = 1 [/STATE] [STATE] cat = {'color': [119, 11, 32], 'isthing': 1, 'id': 2, 'name': 'bicycle'} [/STATE] [STATE] i = 2 [/STATE] [STATE] cat = {'color': [0, 0, 142], 'isthing': 1, 'id': 3, 'name': 'car'} [/STATE] [STATE] i = 3 [/STATE] [STATE] cat = {'color': [0, 0, 230], 'isthing': 1, 'id': 4, 'name': 'motorcycle'} [/STATE] [STATE] i = 4 [/STATE] [STATE] cat = {'color': [106, 0, 228], 'isthing': 1, 'id': 5, 'name': 'airplane'} [/STATE] [STATE] i = 5 [/STATE] [STATE] cat = {'color': [0, 60, 100], 'isthing': 1, 'id': 6, 'name': 'bus'} [/STATE] [STATE] i = 6 [/STATE] [STATE] cat = {'color': [0, 80, 100], 'isthing': 1, 'id': 7, 'name': 'train'} [/STATE] [STATE] i = 7 [/STATE] [STATE] cat = {'color': [0, 0, 70], 'isthing': 1, 'id': 8, 'name': 'truck'} [/STATE] [STATE] i = 8 [/STATE] [STATE] cat = {'color': [0, 0, 192], 'isthing': 1, 'id': 9, 'name': 'boat'} [/STATE] [STATE] i = 9 [/STATE] [STATE] cat = {'color': [250, 170, 30], 'isthing': 1, 'id': 10, 'name': 'traffic light'} [/STATE] [STATE] i = 10 [/STATE]\n if cat[\"isthing\"]:\n thing_dataset_id_to_contiguous_id[cat[\"id\"]] = i # [STATE] thing_dataset_id_to_contiguous_id = {1: 0} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13, 16: 14} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13, 16: 14, 17: 15} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13, 16: 14, 17: 15, 18: 16} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13, 16: 14, 17: 15, 18: 16, 19: 17} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13, 16: 14, 17: 15, 18: 16, 19: 17, 20: 18} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13, 16: 14, 17: 15, 18: 16, 19: 17, 20: 18, 21: 19} [/STATE] [STATE] thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13, 16: 14, 17: 15, 18: 16, 19: 17, 20: 18, 21: 19, 22: 20} [/STATE]\n else:\n stuff_dataset_id_to_contiguous_id[cat[\"id\"]] = i # [STATE] stuff_dataset_id_to_contiguous_id = {92: 80} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92, 133: 93} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92, 133: 93, 138: 94} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92, 133: 93, 138: 94, 141: 95} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92, 133: 93, 138: 94, 141: 95, 144: 96} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92, 133: 93, 138: 94, 141: 95, 144: 96, 145: 97} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92, 133: 93, 138: 94, 141: 95, 144: 96, 145: 97, 147: 98} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92, 133: 93, 138: 94, 141: 95, 144: 96, 145: 97, 147: 98, 148: 99} [/STATE] [STATE] stuff_dataset_id_to_contiguous_id = {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92, 133: 93, 138: 94, 141: 95, 144: 96, 145: 97, 147: 98, 148: 99, 149: 100} [/STATE]\n\n meta[\"thing_dataset_id_to_contiguous_id\"] = thing_dataset_id_to_contiguous_id # [STATE] meta = {'thing_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'], 'thing_colors': [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]], 'stuff_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'], 'stuff_colors': [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]], 'thing_dataset_id_to_contiguous_id': {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13, 16: 14, 17: 15, 18: 16, 19: 17, 20: 18, 21: 19, 22: 20, 23: 21, 24: 22, 25: 23, 27: 24, 28: 25, 31: 26, 32: 27, 33: 28, 34: 29, 35: 30, 36: 31, 37: 32, 38: 33, 39: 34, 40: 35, 41: 36, 42: 37, 43: 38, 44: 39, 46: 40, 47: 41, 48: 42, 49: 43, 50: 44, 51: 45, 52: 46, 53: 47, 54: 48, 55: 49, 56: 50, 57: 51, 58: 52, 59: 53, 60: 54, 61: 55, 62: 56, 63: 57, 64: 58, 65: 59, 67: 60, 70: 61, 72: 62, 73: 63, 74: 64, 75: 65, 76: 66, 77: 67, 78: 68, 79: 69, 80: 70, 81: 71, 82: 72, 84: 73, 85: 74, 86: 75, 87: 76, 88: 77, 89: 78, 90: 79}} [/STATE]\n meta[\"stuff_dataset_id_to_contiguous_id\"] = stuff_dataset_id_to_contiguous_id # [STATE] meta = {'thing_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'], 'thing_colors': [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]], 'stuff_classes': ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skatebo...rigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', 'food-other-merged', 'building-other-merged', 'rock-merged', 'wall-other-merged', 'rug-merged'], 'stuff_colors': [[220, 20, 60], [119, 11, 32], [0, 0, 142], [0, 0, 230], [106, 0, 228], [0, 60, 100], [0, 80, 100], [0, 0, 70], [0, 0, 192], [250, 170, 30], [100, 170, 30], [220, 220, 0], [175, 116, 175], [250, 0, 30], [165, 42, 42], [255, 77, 255], [0, 226, 252], [182, 182, 255], [0, 82, 0], [120, 166, 157], [110, 76, 0], [174, 57, 255], [199, 100, 0], [72, 0, 118], [255, 179, 240], [0, 125, 92], [209, 0, 151], [188, 208, 182], [0, 220, 176], [255, 99, 164], [92, 0, 73], [133, 129, 255], [78, 180, 255], [0, 228, 0], [174, 255, 243], [45, 89, 255], [134, 134, 103], [145, 148, 174], [255, 208, 186], [197, 226, 255], [171, 134, 1], [109, 63, 54], [207, 138, 255], [151, 0, 95], [9, 80, 61], [84, 105, 51], [74, 65, 105], [166, 196, 102], [208, 195, 210], [255, 109, 65], [0, 143, 149], [179, 0, 194], [209, 99, 106], [5, 121, 0], [227, 255, 205], [147, 186, 208], [153, 69, 1], [3, 95, 161], [163, 255, 0], [119, 0, 170], [0, 182, 199], [0, 165, 120], [183, 130, 88], [95, 32, 0], [130, 114, 135], [110, 129, 133], [166, 74, 118], [219, 142, 185], [79, 210, 114], [178, 90, 62], [65, 70, 15], [127, 167, 115], [59, 105, 106], [142, 108, 45], [196, 172, 0], [95, 54, 80], [128, 76, 255], [201, 57, 1], [246, 0, 122], [191, 162, 208], [255, 255, 128], [147, 211, 203], [150, 100, 100], [168, 171, 172], [146, 112, 198], [210, 170, 100], [92, 136, 89], [218, 88, 184], [241, 129, 0], [217, 17, 255], [124, 74, 181], [70, 70, 70], [255, 228, 255], [154, 208, 0], [193, 0, 92], [76, 91, 113], [255, 180, 195], [106, 154, 176], [230, 150, 140], [60, 143, 255], [128, 64, 128], [92, 82, 55], [254, 212, 124], [73, 77, 174], [255, 160, 98], [255, 255, 255], [104, 84, 109], [169, 164, 131], [225, 199, 255], [137, 54, 74], [135, 158, 223], [7, 246, 231], [107, 255, 200], [58, 41, 149], [183, 121, 142], [255, 73, 97], [107, 142, 35], [190, 153, 153], [146, 139, 141], [70, 130, 180], [134, 199, 156], [209, 226, 140], [96, 36, 108], [96, 96, 96], [64, 170, 64], [152, 251, 152], [208, 229, 228], [206, 186, 171], [152, 161, 64], [116, 112, 0], [0, 114, 143], [102, 102, 156], [250, 141, 255]], 'thing_dataset_id_to_contiguous_id': {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11, 14: 12, 15: 13, 16: 14, 17: 15, 18: 16, 19: 17, 20: 18, 21: 19, 22: 20, 23: 21, 24: 22, 25: 23, 27: 24, 28: 25, 31: 26, 32: 27, 33: 28, 34: 29, 35: 30, 36: 31, 37: 32, 38: 33, 39: 34, 40: 35, 41: 36, 42: 37, 43: 38, 44: 39, 46: 40, 47: 41, 48: 42, 49: 43, 50: 44, 51: 45, 52: 46, 53: 47, 54: 48, 55: 49, 56: 50, 57: 51, 58: 52, 59: 53, 60: 54, 61: 55, 62: 56, 63: 57, 64: 58, 65: 59, 67: 60, 70: 61, 72: 62, 73: 63, 74: 64, 75: 65, 76: 66, 77: 67, 78: 68, 79: 69, 80: 70, 81: 71, 82: 72, 84: 73, 85: 74, 86: 75, 87: 76, 88: 77, 89: 78, 90: 79}, 'stuff_dataset_id_to_contiguous_id': {92: 80, 93: 81, 95: 82, 100: 83, 107: 84, 109: 85, 112: 86, 118: 87, 119: 88, 122: 89, 125: 90, 128: 91, 130: 92, 133: 93, 138: 94, 141: 95, 144: 96, 145: 97, 147: 98, 148: 99, 149: 100, 151: 101, 154: 102, 155: 103, 156: 104, 159: 105, 161: 106, 166: 107, 168: 108, 171: 109, 175: 110, 176: 111, 177: 112, 178: 113, 180: 114, 181: 115, 184: 116, 185: 117, 186: 118, 187: 119, 188: 120, 189: 121, 190: 122, 191: 123, 192: 124, 193: 125, 194: 126, 195: 127, 196: 128, 197: 129, 198: 130, 199: 131, 200: 132}} [/STATE]\n\n return meta\n elif dataset_name == \"coco_person\":\n return {\n \"thing_classes\": [\"person\"],\n \"keypoint_names\": COCO_PERSON_KEYPOINT_NAMES,\n \"keypoint_flip_map\": COCO_PERSON_KEYPOINT_FLIP_MAP,\n \"keypoint_connection_rules\": KEYPOINT_CONNECTION_RULES,\n }\n elif dataset_name == \"cityscapes\":\n # fmt: off\n CITYSCAPES_THING_CLASSES = [\n \"person\", \"rider\", \"car\", \"truck\",\n \"bus\", \"train\", \"motorcycle\", \"bicycle\",\n ]\n CITYSCAPES_STUFF_CLASSES = [\n \"road\", \"sidewalk\", \"building\", \"wall\", \"fence\", \"pole\", \"traffic light\",\n \"traffic sign\", \"vegetation\", \"terrain\", \"sky\", \"person\", \"rider\", \"car\",\n \"truck\", \"bus\", \"train\", \"motorcycle\", \"bicycle\",\n ]\n # fmt: on\n return {\n \"thing_classes\": CITYSCAPES_THING_CLASSES,\n \"stuff_classes\": CITYSCAPES_STUFF_CLASSES,\n }\n raise KeyError(\"No built-in metadata for dataset {}\".format(dataset_name))\n\n_get_builtin_metadata('coco_panoptic_standard')", "loop_code": "1: def _get_builtin_metadata(dataset_name):\n2: if dataset_name == \"coco\":\n3: return _get_coco_instances_meta()\n4: if dataset_name == \"coco_panoptic_separated\":\n5: return _get_coco_panoptic_separated_meta()\n6: elif dataset_name == \"coco_panoptic_standard\":\n7: meta = {}\n8: # The following metadata maps contiguous id from [0, #thing categories +\n9: # #stuff categories) to their names and colors. We have to replica of the\n10: # same name and color under \"thing_*\" and \"stuff_*\" because the current\n11: # visualization function in D2 handles thing and class classes differently\n12: # due to some heuristic used in Panoptic FPN. We keep the same naming to\n13: # enable reusing existing visualization functions.\n14: thing_classes = [k[\"name\"] for k in COCO_CATEGORIES]\n15: thing_colors = [k[\"color\"] for k in COCO_CATEGORIES]\n16: stuff_classes = [k[\"name\"] for k in COCO_CATEGORIES]\n17: stuff_colors = [k[\"color\"] for k in COCO_CATEGORIES]\n18:\n19: meta[\"thing_classes\"] = thing_classes\n20: meta[\"thing_colors\"] = thing_colors\n21: meta[\"stuff_classes\"] = stuff_classes\n22: meta[\"stuff_colors\"] = stuff_colors\n23:\n24: # Convert category id for training:\n25: # category id: like semantic segmentation, it is the class id for each\n26: # pixel. Since there are some classes not used in evaluation, the category\n27: # id is not always contiguous and thus we have two set of category ids:\n28: # - original category id: category id in the original dataset, mainly\n29: # used for evaluation.\n30: # - contiguous category id: [0, #classes), in order to train the linear\n31: # softmax classifier.\n32: thing_dataset_id_to_contiguous_id = {}\n33: stuff_dataset_id_to_contiguous_id = {}\n34:\n35: for i, cat in enumerate(COCO_CATEGORIES):\n36: if cat[\"isthing\"]:\n37: thing_dataset_id_to_contiguous_id[cat[\"id\"]] = i\n38: else:\n39: stuff_dataset_id_to_contiguous_id[cat[\"id\"]] = i\n40:\n41: meta[\"thing_dataset_id_to_contiguous_id\"] = thing_dataset_id_to_contiguous_id\n42: meta[\"stuff_dataset_id_to_contiguous_id\"] = stuff_dataset_id_to_contiguous_id\n43:\n44: return meta\n45: elif dataset_name == \"coco_person\":\n46: return {\n47: \"thing_classes\": [\"person\"],\n48: \"keypoint_names\": COCO_PERSON_KEYPOINT_NAMES,\n49: \"keypoint_flip_map\": COCO_PERSON_KEYPOINT_FLIP_MAP,\n50: \"keypoint_connection_rules\": KEYPOINT_CONNECTION_RULES,\n51: }\n52: elif dataset_name == \"cityscapes\":\n53: # fmt: off\n54: CITYSCAPES_THING_CLASSES = [\n55: \"person\", \"rider\", \"car\", \"truck\",\n56: \"bus\", \"train\", \"motorcycle\", \"bicycle\",\n57: ]\n58: CITYSCAPES_STUFF_CLASSES = [\n59: \"road\", \"sidewalk\", \"building\", \"wall\", \"fence\", \"pole\", \"traffic light\",\n60: \"traffic sign\", \"vegetation\", \"terrain\", \"sky\", \"person\", \"rider\", \"car\",\n61: \"truck\", \"bus\", \"train\", \"motorcycle\", \"bicycle\",\n62: ]\n63: # fmt: on\n64: return {\n65: \"thing_classes\": CITYSCAPES_THING_CLASSES,\n66: \"stuff_classes\": CITYSCAPES_STUFF_CLASSES,\n67: }\n68: raise KeyError(\"No built-in metadata for dataset {}\".format(dataset_name))\n69:\n70: _get_builtin_metadata('coco_panoptic_standard')", "question": "What is the value of ' thing_dataset_id_to_contiguous_id ' in line '37' after '12' th iteration when '_get_builtin_metadata('coco_panoptic_standard')' is executed?", "answer": " {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11} ", "variable_assignment": " thing_dataset_id_to_contiguous_id = {1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9, 11: 10, 13: 11} "} +{"idx": 15, "scratchpad_format": "def wrap_text(text, width):\n \"\"\"\n Wrap text paragraphs to the given character width while preserving\n newlines.\n \"\"\"\n out = [] # [STATE] out = [] [/STATE]\n for paragraph in text.splitlines(): # [STATE] paragraph = 'four score' [/STATE] [STATE] paragraph = 'and seven' [/STATE] [STATE] paragraph = '' [/STATE]\n # Wrap returns an empty list when paragraph is a newline. In order\n # to preserve newlines we substitute a list containing an empty\n # string.\n lines = wrap(paragraph, width=width) or [''] # [STATE] lines = ['four', 'score'] [/STATE] [STATE] lines = ['and', 'seven'] [/STATE] [STATE] lines = [''] [/STATE]\n out.extend(lines) # [STATE] out = ['four', 'score'] [/STATE] [STATE] out = ['four', 'score', 'and', 'seven'] [/STATE] [STATE] out = ['four', 'score', 'and', 'seven', ''] [/STATE]\n return out\n\nwrap_text('four score\\nand seven\\n\\n', 6)", "loop_code": "1: def wrap_text(text, width):\n2: \"\"\"\n3: Wrap text paragraphs to the given character width while preserving\n4: newlines.\n5: \"\"\"\n6: out = []\n7: for paragraph in text.splitlines():\n8: # Wrap returns an empty list when paragraph is a newline. In order\n9: # to preserve newlines we substitute a list containing an empty\n10: # string.\n11: lines = wrap(paragraph, width=width) or ['']\n12: out.extend(lines)\n13: return out\n14:\n15: wrap_text('four score\\nand seven\\n\\n', 6)", "question": "What is the value of ' lines ' in line '11' after '2' th iteration when 'wrap_text('four score\\nand seven\\n\\n', 6)' is executed?", "answer": " ['and', 'seven'] ", "variable_assignment": " lines = ['and', 'seven'] "} +{"idx": 16, "scratchpad_format": "def prefixLinesAfterFirst(prefix, s):\n lines = s.splitlines(True) # [STATE] lines = [\"'line1\\n\", \"line2'\"] [/STATE]\n\n for i in range(1, len(lines)): # [STATE] i = 1 [/STATE]\n lines[i] = prefix + lines[i] # [STATE] lines = [\"'line1\\n\", \" line2'\"] [/STATE]\n\n return ''.join(lines)\n\nprefixLinesAfterFirst(' ', \"'line1\\nline2'\")", "loop_code": "1: def prefixLinesAfterFirst(prefix, s):\n2: lines = s.splitlines(True)\n3:\n4: for i in range(1, len(lines)):\n5: lines[i] = prefix + lines[i]\n6:\n7: return ''.join(lines)\n8:\n9: prefixLinesAfterFirst(' ', \"'line1\\nline2'\")", "question": "What is the value of ' lines ' in line '5' after '1' th iteration when 'prefixLinesAfterFirst(' ', \"'line1\\nline2'\")' is executed?", "answer": " [\"'line1\\n\", \" line2'\"] ", "variable_assignment": " lines = [\"'line1\\n\", \" line2'\"] "} +{"idx": 17, "scratchpad_format": "def find_csv_separators(csv):\n \"\"\"Finds column and decimal separators in a CSV string\n\n Args:\n csv: CSV text data\n\n Returns:\n (column_separator, decimal separator)\n \"\"\"\n lines = csv.strip().split('\\n') # [STATE] lines = ['frequency,raw', '20,0', '1000,3', '20000,0'] [/STATE]\n # First find all potential column separators by checking which characters appear on each line that starts with digit\n column_separator_candidates = {',', ';', '\\t', '|'} # [STATE] column_separator_candidates = {'\\t', ';', ',', '|'} [/STATE]\n for line in lines: # [STATE] line = 'frequency,raw' [/STATE] [STATE] line = '20,0' [/STATE] [STATE] line = '1000,3' [/STATE] [STATE] line = '20000,0' [/STATE]\n if not numeric_start.match(line): # Skip rows which don't start with numbers\n continue\n remove_candidates = [] # [STATE] remove_candidates = [] [/STATE]\n for column_separator in column_separator_candidates: # [STATE] column_separator = '\\t' [/STATE] [STATE] column_separator = ';' [/STATE] [STATE] column_separator = ',' [/STATE] [STATE] column_separator = '|' [/STATE]\n if column_separator not in line:\n # Numeric line doesn't contain the column separator candidate, eliminate the candidate\n remove_candidates.append(column_separator) # [STATE] remove_candidates = ['\\t'] [/STATE] [STATE] remove_candidates = ['\\t', ';'] [/STATE] [STATE] remove_candidates = ['\\t', ';', '|'] [/STATE]\n for remove_candidate in remove_candidates: # [STATE] remove_candidate = '\\t' [/STATE] [STATE] remove_candidate = ';' [/STATE] [STATE] remove_candidate = '|' [/STATE]\n column_separator_candidates.remove(remove_candidate) # [STATE] column_separator_candidates = {';', ',', '|'} [/STATE] [STATE] column_separator_candidates = {',', '|'} [/STATE] [STATE] column_separator_candidates = {','} [/STATE]\n\n if len(column_separator_candidates) == 0:\n raise CsvParseError('Could not find column and decimal separators')\n\n if column_separator_candidates == {','}:\n # Only comma found, it must be the column separator and decimal point must be dot\n return [',', '.']\n\n if ',' in column_separator_candidates:\n # Comma is included in the candidates (along with something else), it must be the decimal separator\n decimal_separator = ','\n column_separator_candidates.remove(',')\n else:\n decimal_separator = '.'\n\n if len(column_separator_candidates) > 1:\n raise CsvParseError(f'Found multiple potential column separators: {column_separator_candidates}')\n\n return list(column_separator_candidates)[0], decimal_separator\n\nfind_csv_separators('frequency,raw\\n20,0\\n1000,3\\n20000,0\\n')", "loop_code": "1: def find_csv_separators(csv):\n2: \"\"\"Finds column and decimal separators in a CSV string\n3:\n4: Args:\n5: csv: CSV text data\n6:\n7: Returns:\n8: (column_separator, decimal separator)\n9: \"\"\"\n10: lines = csv.strip().split('\\n')\n11: # First find all potential column separators by checking which characters appear on each line that starts with digit\n12: column_separator_candidates = {',', ';', '\\t', '|'}\n13: for line in lines:\n14: if not numeric_start.match(line): # Skip rows which don't start with numbers\n15: continue\n16: remove_candidates = []\n17: for column_separator in column_separator_candidates:\n18: if column_separator not in line:\n19: # Numeric line doesn't contain the column separator candidate, eliminate the candidate\n20: remove_candidates.append(column_separator)\n21: for remove_candidate in remove_candidates:\n22: column_separator_candidates.remove(remove_candidate)\n23:\n24: if len(column_separator_candidates) == 0:\n25: raise CsvParseError('Could not find column and decimal separators')\n26:\n27: if column_separator_candidates == {','}:\n28: # Only comma found, it must be the column separator and decimal point must be dot\n29: return [',', '.']\n30:\n31: if ',' in column_separator_candidates:\n32: # Comma is included in the candidates (along with something else), it must be the decimal separator\n33: decimal_separator = ','\n34: column_separator_candidates.remove(',')\n35: else:\n36: decimal_separator = '.'\n37:\n38: if len(column_separator_candidates) > 1:\n39: raise CsvParseError(f'Found multiple potential column separators: {column_separator_candidates}')\n40:\n41: return list(column_separator_candidates)[0], decimal_separator\n42:\n43: find_csv_separators('frequency,raw\\n20,0\\n1000,3\\n20000,0\\n')", "question": "What is the value of ' remove_candidates ' in line '16' after '1' th iteration when 'find_csv_separators('frequency,raw\\n20,0\\n1000,3\\n20000,0\\n')' is executed?", "answer": " [] ", "variable_assignment": " remove_candidates = [] "} +{"idx": 18, "scratchpad_format": "def find_csv_columns(csv, column_separator):\n lines = csv.strip().split('\\n') # [STATE] lines = ['20.000\\t68.334\\t0', '20.250\\t68.335\\t0', '19998.498\\t27.402\\t0'] [/STATE]\n numeric_lines = [line for line in lines if column_separator in line and numeric_start.search(line)] # [STATE] numeric_lines = ['20.000\\t68.334\\t0', '20.250\\t68.335\\t0', '19998.498\\t27.402\\t0'] [/STATE]\n n_columns = list(set([len(line.split(column_separator)) for line in numeric_lines])) # [STATE] n_columns = [3] [/STATE]\n if len(n_columns) != 1:\n raise CsvParseError('Numeric lines have different number of columns')\n n_columns = n_columns[0] # [STATE] n_columns = 3 [/STATE]\n for line in lines: # [STATE] line = '20.000\\t68.334\\t0' [/STATE] [STATE] line = '20.250\\t68.335\\t0' [/STATE] [STATE] line = '19998.498\\t27.402\\t0' [/STATE]\n if not numeric_start.search(line) and len(line.split(column_separator)) == n_columns:\n return [cell.strip() for cell in line.split(column_separator)]\n\nfind_csv_columns('20.000\\t68.334\\t0\\n20.250\\t68.335\\t0\\n19998.498\\t27.402\\t0', '\\t')", "loop_code": "1: def find_csv_columns(csv, column_separator):\n2: lines = csv.strip().split('\\n')\n3: numeric_lines = [line for line in lines if column_separator in line and numeric_start.search(line)]\n4: n_columns = list(set([len(line.split(column_separator)) for line in numeric_lines]))\n5: if len(n_columns) != 1:\n6: raise CsvParseError('Numeric lines have different number of columns')\n7: n_columns = n_columns[0]\n8: for line in lines:\n9: if not numeric_start.search(line) and len(line.split(column_separator)) == n_columns:\n10: return [cell.strip() for cell in line.split(column_separator)]\n11:\n12: find_csv_columns('20.000\\t68.334\\t0\\n20.250\\t68.335\\t0\\n19998.498\\t27.402\\t0', '\\t')", "question": "What is the value of ' line ' in line '8' after '3' th iteration when 'find_csv_columns('20.000\\t68.334\\t0\\n20.250\\t68.335\\t0\\n19998.498\\t27.402\\t0', '\\t')' is executed?", "answer": " '19998.498\\t27.402\\t0' ", "variable_assignment": " line = '19998.498\\t27.402\\t0' "} +{"idx": 19, "scratchpad_format": "def is_sorted(a):\n if len(a) <= 1:\n return True\n for i in range(1, len(a)): # [STATE] i = 1 [/STATE] [STATE] i = 2 [/STATE] [STATE] i = 3 [/STATE] [STATE] i = 4 [/STATE]\n if less(a[i], a[i - 1]):\n return False\n return True\n\nis_sorted([1, 2, 13, 22, 123])", "loop_code": "1: def is_sorted(a):\n2: if len(a) <= 1:\n3: return True\n4: for i in range(1, len(a)):\n5: if less(a[i], a[i - 1]):\n6: return False\n7: return True\n8:\n9: is_sorted([1, 2, 13, 22, 123])", "question": "What is the value of ' i ' in line '4' after '4' th iteration when 'is_sorted([1, 2, 13, 22, 123])' is executed?", "answer": " 4 ", "variable_assignment": " i = 4 "} +{"idx": 20, "scratchpad_format": "def _merge(a, aux, lo, mid, hi):\n i = lo # [STATE] i = 0 [/STATE]\n j = mid + 1 # [STATE] j = 4 [/STATE]\n\n for k in range(lo, hi + 1): # [STATE] k = 0 [/STATE] [STATE] k = 1 [/STATE] [STATE] k = 2 [/STATE] [STATE] k = 3 [/STATE] [STATE] k = 4 [/STATE] [STATE] k = 5 [/STATE] [STATE] k = 6 [/STATE] [STATE] k = 7 [/STATE]\n aux[k] = a[k] # [STATE] aux = [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] [/STATE] [STATE] aux = [1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] [/STATE] [STATE] aux = [1, 2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] [/STATE] [STATE] aux = [1, 2, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] [/STATE] [STATE] aux = [1, 2, 4, 4, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] [/STATE] [STATE] aux = [1, 2, 4, 4, 5, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0] [/STATE] [STATE] aux = [1, 2, 4, 4, 5, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0] [/STATE] [STATE] aux = [1, 2, 4, 4, 5, 6, 7, 23, 0, 0, 0, 0, 0, 0, 0] [/STATE]\n\n for k in range(lo, hi + 1): # [STATE] k = 0 [/STATE] [STATE] k = 1 [/STATE] [STATE] k = 2 [/STATE] [STATE] k = 3 [/STATE] [STATE] k = 4 [/STATE] [STATE] k = 5 [/STATE] [STATE] k = 6 [/STATE] [STATE] k = 7 [/STATE]\n if i > mid:\n a[k] = aux[j]\n j += 1 # [STATE] j = 5 [/STATE] [STATE] j = 6 [/STATE] [STATE] j = 7 [/STATE] [STATE] j = 8 [/STATE]\n elif j > hi:\n a[k] = aux[i]\n i += 1\n elif util.less(aux[i], aux[j]):\n a[k] = aux[i]\n i += 1 # [STATE] i = 1 [/STATE] [STATE] i = 2 [/STATE] [STATE] i = 3 [/STATE] [STATE] i = 4 [/STATE]\n else:\n a[k] = aux[j]\n j += 1\n\n_merge([1, 2, 4, 4, 5, 6, 7, 23, 8, 9, 20, 11, 13, 34, 66], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 0, 3, 7)", "loop_code": "1: def _merge(a, aux, lo, mid, hi):\n2: i = lo\n3: j = mid + 1\n4:\n5: for k in range(lo, hi + 1):\n6: aux[k] = a[k]\n7:\n8: for k in range(lo, hi + 1):\n9: if i > mid:\n10: a[k] = aux[j]\n11: j += 1\n12: elif j > hi:\n13: a[k] = aux[i]\n14: i += 1\n15: elif util.less(aux[i], aux[j]):\n16: a[k] = aux[i]\n17: i += 1\n18: else:\n19: a[k] = aux[j]\n20: j += 1\n21:\n22: _merge([1, 2, 4, 4, 5, 6, 7, 23, 8, 9, 20, 11, 13, 34, 66], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 0, 3, 7)", "question": "What is the value of ' aux ' in line '6' after '7' th iteration when '_merge([1, 2, 4, 4, 5, 6, 7, 23, 8, 9, 20, 11, 13, 34, 66], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 0, 3, 7)' is executed?", "answer": " [1, 2, 4, 4, 5, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0] ", "variable_assignment": " aux = [1, 2, 4, 4, 5, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0] "} +{"idx": 21, "scratchpad_format": "def _copy(src, dst, src_is_storage, dst_is_storage):\n \"\"\"\n Copies file from source to destination\n\n Args:\n src (str or file-like object): Source file.\n dst (str or file-like object): Destination file.\n src_is_storage (bool): Source is storage.\n dst_is_storage (bool): Destination is storage.\n \"\"\"\n # If both storage: Tries to perform same storage direct copy\n if src_is_storage and dst_is_storage:\n system = get_instance(src)\n if system is get_instance(dst):\n\n # Checks if same file\n if system.relpath(src) == system.relpath(dst):\n raise same_file_error(\n \"'%s' and '%s' are the same file\" % (src, dst))\n\n # Tries to copy\n try:\n return system.copy(src, dst)\n except (UnsupportedOperation, ObjectException):\n pass\n\n # At least one storage object: copies streams\n with cos_open(src, 'rb') as fsrc: # [STATE] fsrc = {} [/STATE]\n with cos_open(dst, 'wb') as fdst: # [STATE] fdst = <_io.BufferedWriter name='/tmp/pytest-of-XXX/pytest-198/test_cos_open0/file_dst.txt'> [/STATE]\n\n # Get stream buffer size\n for stream in (fdst, fsrc): # [STATE] stream = <_io.BufferedWriter name='/tmp/pytest-of-XXX/pytest-198/test_cos_open0/file_dst.txt'> [/STATE] [STATE] stream = {} [/STATE]\n try:\n buffer_size = getattr(stream, '_buffer_size') # [STATE] E [/STATE] [STATE] X [/STATE] [STATE] C [/STATE] [STATE] E [/STATE] [STATE] P [/STATE] [STATE] T [/STATE] [STATE] I [/STATE] [STATE] O [/STATE] [STATE] N [/STATE] [STATE] : [/STATE] [STATE] [/STATE] [STATE] A [/STATE] [STATE] t [/STATE] [STATE] t [/STATE] [STATE] r [/STATE] [STATE] i [/STATE] [STATE] b [/STATE] [STATE] u [/STATE] [STATE] t [/STATE] [STATE] e [/STATE] [STATE] E [/STATE]\n break\n except AttributeError:\n continue\n else:\n buffer_size = 16384 # [STATE] buffer_size = 16384 [/STATE]\n\n # Read and write\n copyfileobj(fsrc, fdst, buffer_size)\n\n_copy('dummy_read://file.txt', '/tmp/pytest-of-XXX/pytest-198/test_cos_open0/file_dst.txt', True, False)", "loop_code": "1: def _copy(src, dst, src_is_storage, dst_is_storage):\n2: \"\"\"\n3: Copies file from source to destination\n4:\n5: Args:\n6: src (str or file-like object): Source file.\n7: dst (str or file-like object): Destination file.\n8: src_is_storage (bool): Source is storage.\n9: dst_is_storage (bool): Destination is storage.\n10: \"\"\"\n11: # If both storage: Tries to perform same storage direct copy\n12: if src_is_storage and dst_is_storage:\n13: system = get_instance(src)\n14: if system is get_instance(dst):\n15:\n16: # Checks if same file\n17: if system.relpath(src) == system.relpath(dst):\n18: raise same_file_error(\n19: \"'%s' and '%s' are the same file\" % (src, dst))\n20:\n21: # Tries to copy\n22: try:\n23: return system.copy(src, dst)\n24: except (UnsupportedOperation, ObjectException):\n25: pass\n26:\n27: # At least one storage object: copies streams\n28: with cos_open(src, 'rb') as fsrc:\n29: with cos_open(dst, 'wb') as fdst:\n30:\n31: # Get stream buffer size\n32: for stream in (fdst, fsrc):\n33: try:\n34: buffer_size = getattr(stream, '_buffer_size')\n35: break\n36: except AttributeError:\n37: continue\n38: else:\n39: buffer_size = 16384\n40:\n41: # Read and write\n42: copyfileobj(fsrc, fdst, buffer_size)\n43:\n44: _copy('dummy_read://file.txt', '/tmp/pytest-of-XXX/pytest-198/test_cos_open0/file_dst.txt', True, False)", "question": "What is the value of the variable in line '34' after '1' th iteration when '_copy('dummy_read://file.txt', '/tmp/pytest-of-XXX/pytest-198/test_cos_open0/file_dst.txt', True, False)' is executed?", "answer": " E ", "variable_assignment": " E "} +{"idx": 22, "scratchpad_format": "def get_bound(pts: Iterable[Point]) -> Rect:\n \"\"\"Compute a minimal rectangle that covers all the points.\"\"\"\n limit: Rect = (INF, INF, -INF, -INF) # [STATE] limit = (2147483647, 2147483647, -2147483647, -2147483647) [/STATE]\n (x0, y0, x1, y1) = limit # [STATE] x0 = 2147483647 [/STATE] # [STATE] y0 = 2147483647 [/STATE] # [STATE] x1 = -2147483647 [/STATE] # [STATE] y1 = -2147483647 [/STATE]\n for (x, y) in pts: # [STATE] x = 6 [/STATE] [STATE] y = 7 [/STATE] [STATE] x = 7 [/STATE]\n x0 = min(x0, x) # [STATE] x0 = 6 [/STATE]\n y0 = min(y0, y) # [STATE] y0 = 7 [/STATE]\n x1 = max(x1, x) # [STATE] x1 = 6 [/STATE] [STATE] x1 = 7 [/STATE]\n y1 = max(y1, y) # [STATE] y1 = 7 [/STATE]\n return x0, y0, x1, y1\n\nget_bound([(6, 7), (7, 7)])", "loop_code": "1: def get_bound(pts: Iterable[Point]) -> Rect:\n2: \"\"\"Compute a minimal rectangle that covers all the points.\"\"\"\n3: limit: Rect = (INF, INF, -INF, -INF)\n4: (x0, y0, x1, y1) = limit\n5: for (x, y) in pts:\n6: x0 = min(x0, x)\n7: y0 = min(y0, y)\n8: x1 = max(x1, x)\n9: y1 = max(y1, y)\n10: return x0, y0, x1, y1\n11:\n12: get_bound([(6, 7), (7, 7)])", "question": "What is the value of ' x0 ' in line '6' after '1' th iteration when 'get_bound([(6, 7), (7, 7)])' is executed?", "answer": " 6 ", "variable_assignment": " x0 = 6 "} +{"idx": 23, "scratchpad_format": "def make_default_short_help(help, max_length=45):\n words = help.split() # [STATE] words = ['Hello', 'World!'] [/STATE]\n total_length = 0 # [STATE] total_length = 0 [/STATE]\n result = [] # [STATE] result = [] [/STATE]\n done = False # [STATE] done = False [/STATE]\n\n for word in words: # [STATE] word = 'Hello' [/STATE] [STATE] word = 'World!' [/STATE]\n if word[-1:] == '.':\n done = True\n new_length = result and 1 + len(word) or len(word) # [STATE] new_length = 5 [/STATE] [STATE] new_length = 7 [/STATE]\n if total_length + new_length > max_length:\n result.append('...')\n done = True\n else:\n if result:\n result.append(' ') # [STATE] result = ['Hello', ' '] [/STATE]\n result.append(word) # [STATE] result = ['Hello'] [/STATE] [STATE] result = ['Hello', ' ', 'World!'] [/STATE]\n if done:\n break\n total_length += new_length # [STATE] total_length = 5 [/STATE] [STATE] total_length = 12 [/STATE]\n\n return ''.join(result)\n\nmake_default_short_help('Hello World!', 45)", "loop_code": "1: def make_default_short_help(help, max_length=45):\n2: words = help.split()\n3: total_length = 0\n4: result = []\n5: done = False\n6:\n7: for word in words:\n8: if word[-1:] == '.':\n9: done = True\n10: new_length = result and 1 + len(word) or len(word)\n11: if total_length + new_length > max_length:\n12: result.append('...')\n13: done = True\n14: else:\n15: if result:\n16: result.append(' ')\n17: result.append(word)\n18: if done:\n19: break\n20: total_length += new_length\n21:\n22: return ''.join(result)\n23:\n24: make_default_short_help('Hello World!', 45)", "question": "What is the value of ' new_length ' in line '10' after '1' th iteration when 'make_default_short_help('Hello World!', 45)' is executed?", "answer": " 5 ", "variable_assignment": " new_length = 5 "} +{"idx": 24, "scratchpad_format": "def join_options(options):\n \"\"\"Given a list of option strings this joins them in the most appropriate\n way and returns them in the form ``(formatted_string,\n any_prefix_is_slash)`` where the second item in the tuple is a flag that\n indicates if any of the option prefixes was a slash.\n \"\"\"\n rv = [] # [STATE] rv = [] [/STATE]\n any_prefix_is_slash = False # [STATE] any_prefix_is_slash = False [/STATE]\n for opt in options: # [STATE] opt = '--help' [/STATE]\n prefix = split_opt(opt)[0] # [STATE] prefix = '--' [/STATE]\n if prefix == '/':\n any_prefix_is_slash = True\n rv.append((len(prefix), opt)) # [STATE] rv = [(2, '--help')] [/STATE]\n\n rv.sort(key=lambda x: x[0])\n\n rv = ', '.join(x[1] for x in rv) # [STATE] rv = '--help' [/STATE]\n return rv, any_prefix_is_slash\n\njoin_options(['--help'])", "loop_code": "1: def join_options(options):\n2: \"\"\"Given a list of option strings this joins them in the most appropriate\n3: way and returns them in the form ``(formatted_string,\n4: any_prefix_is_slash)`` where the second item in the tuple is a flag that\n5: indicates if any of the option prefixes was a slash.\n6: \"\"\"\n7: rv = []\n8: any_prefix_is_slash = False\n9: for opt in options:\n10: prefix = split_opt(opt)[0]\n11: if prefix == '/':\n12: any_prefix_is_slash = True\n13: rv.append((len(prefix), opt))\n14:\n15: rv.sort(key=lambda x: x[0])\n16:\n17: rv = ', '.join(x[1] for x in rv)\n18: return rv, any_prefix_is_slash\n19:\n20: join_options(['--help'])", "question": "What is the value of ' prefix ' in line '10' after '1' th iteration when 'join_options(['--help'])' is executed?", "answer": " '--' ", "variable_assignment": " prefix = '--' "} +{"idx": 25, "scratchpad_format": "def measure_table(rows):\n widths = {} # [STATE] widths = {} [/STATE]\n for row in rows: # [STATE] row = ('--help', 'Show this message and exit.') [/STATE]\n for idx, col in enumerate(row): # [STATE] idx = 0 [/STATE] [STATE] col = '--help' [/STATE] [STATE] idx = 1 [/STATE] [STATE] col = 'Show this message and exit.' [/STATE]\n widths[idx] = max(widths.get(idx, 0), term_len(col)) # [STATE] widths = {0: 6} [/STATE] [STATE] widths = {0: 6, 1: 27} [/STATE]\n return tuple(y for x, y in sorted(widths.items()))\n\nmeasure_table([('--help', 'Show this message and exit.')])", "loop_code": "1: def measure_table(rows):\n2: widths = {}\n3: for row in rows:\n4: for idx, col in enumerate(row):\n5: widths[idx] = max(widths.get(idx, 0), term_len(col))\n6: return tuple(y for x, y in sorted(widths.items()))\n7:\n8: measure_table([('--help', 'Show this message and exit.')])", "question": "What is the value of ' widths ' in line '5' after '2' th iteration when 'measure_table([('--help', 'Show this message and exit.')])' is executed?", "answer": " {0: 6, 1: 27} ", "variable_assignment": " widths = {0: 6, 1: 27} "} +{"idx": 26, "scratchpad_format": "def encode_request(*args):\n \"\"\"Pack a series of arguments into a RESP array of bulk strings.\"\"\"\n result = [\"*\" + str(len(args)) + CRLF] # [STATE] result = ['*1\\r\\n'] [/STATE]\n\n for arg in args: # [STATE] arg = 'ping' [/STATE]\n if arg is None:\n result.append('$-1' + CRLF)\n else:\n s = str(arg) # [STATE] s = 'ping' [/STATE]\n result.append('$' + str(len(s)) + CRLF + s + CRLF) # [STATE] result = ['*1\\r\\n', '$4\\r\\nping\\r\\n'] [/STATE]\n\n return \"\".join(result)\n\nencode_request(('ping',))", "loop_code": "1: def encode_request(*args):\n2: \"\"\"Pack a series of arguments into a RESP array of bulk strings.\"\"\"\n3: result = [\"*\" + str(len(args)) + CRLF]\n4:\n5: for arg in args:\n6: if arg is None:\n7: result.append('$-1' + CRLF)\n8: else:\n9: s = str(arg)\n10: result.append('$' + str(len(s)) + CRLF + s + CRLF)\n11:\n12: return \"\".join(result)\n13:\n14: encode_request(('ping',))", "question": "What is the value of ' s ' in line '9' after '1' th iteration when 'encode_request(('ping',))' is executed?", "answer": " 'ping' ", "variable_assignment": " s = 'ping' "} +{"idx": 27, "scratchpad_format": "def parse_array(data, start=0):\n endcnt = data.find(CRLF, start + 1) # [STATE] endcnt = 2 [/STATE]\n\n if endcnt == -1:\n raise ParseError(\"Unterminated array element count after pos {}.\".format(start + 1))\n\n try:\n count = int(data[start + 1:endcnt]) # [STATE] count = 3 [/STATE]\n except (ValueError, TypeError):\n raise ParseError(\"Invalid array element count at pos {} - {}.\".format(start + 1, endcnt))\n\n start = endcnt + CRLFLEN # [STATE] start = 4 [/STATE]\n\n if count == -1:\n return None, endcnt\n\n result = [] # [STATE] result = [] [/STATE]\n\n for i in range(count): # [STATE] i = 0 [/STATE] [STATE] i = 1 [/STATE] [STATE] i = 2 [/STATE]\n if start + 4 < len(data):\n obj, start = _decode(data, start) # [STATE] obj = 'SET' [/STATE] [STATE] start = 13 [/STATE] [STATE] start = 35 [/STATE] [STATE] obj = 'memtier-8232902' [/STATE] [STATE] start = 43 [/STATE] [STATE] obj = 'xx' [/STATE]\n result.append(obj) # [STATE] result = ['SET'] [/STATE] [STATE] result = ['SET', 'memtier-8232902'] [/STATE] [STATE] result = ['SET', 'memtier-8232902', 'xx'] [/STATE]\n else:\n raise ParseError(\"Unterminated array element at pos {}\".format(start))\n\n return result, start\n\nparse_array('*3\\r\\n$3\\r\\nSET\\r\\n$15\\r\\nmemtier-8232902\\r\\n$2\\r\\nxx\\r\\n*3\\r\\n$3\\r\\nSET\\r\\n$15\\r\\nmemtier-8232902\\r\\n$2\\r\\nxx\\r\\n*3\\r\\n$3\\r\\nSET\\r\\n$15\\r\\nmemtier-7630684\\r\\n$3\\r\\nAAA\\r\\n', 0)", "loop_code": "1: def parse_array(data, start=0):\n2: endcnt = data.find(CRLF, start + 1)\n3:\n4: if endcnt == -1:\n5: raise ParseError(\"Unterminated array element count after pos {}.\".format(start + 1))\n6:\n7: try:\n8: count = int(data[start + 1:endcnt])\n9: except (ValueError, TypeError):\n10: raise ParseError(\"Invalid array element count at pos {} - {}.\".format(start + 1, endcnt))\n11:\n12: start = endcnt + CRLFLEN\n13:\n14: if count == -1:\n15: return None, endcnt\n16:\n17: result = []\n18:\n19: for i in range(count):\n20: if start + 4 < len(data):\n21: obj, start = _decode(data, start)\n22: result.append(obj)\n23: else:\n24: raise ParseError(\"Unterminated array element at pos {}\".format(start))\n25:\n26: return result, start\n27:\n28: parse_array('*3\\r\\n$3\\r\\nSET\\r\\n$15\\r\\nmemtier-8232902\\r\\n$2\\r\\nxx\\r\\n*3\\r\\n$3\\r\\nSET\\r\\n$15\\r\\nmemtier-8232902\\r\\n$2\\r\\nxx\\r\\n*3\\r\\n$3\\r\\nSET\\r\\n$15\\r\\nmemtier-7630684\\r\\n$3\\r\\nAAA\\r\\n', 0)", "question": "What is the value of ' start ' in line '21' after '2' th iteration when 'parse_array('*3\\r\\n$3\\r\\nSET\\r\\n$15\\r\\nmemtier-8232902\\r\\n$2\\r\\nxx\\r\\n*3\\r\\n$3\\r\\nSET\\r\\n$15\\r\\nmemtier-8232902\\r\\n$2\\r\\nxx\\r\\n*3\\r\\n$3\\r\\nSET\\r\\n$15\\r\\nmemtier-7630684\\r\\n$3\\r\\nAAA\\r\\n', 0)' is executed?", "answer": " 13 ", "variable_assignment": " start = 13 "} +{"idx": 28, "scratchpad_format": "def strip(tokens):\n output = \"\" # [STATE] output = '' [/STATE]\n for type_, value in tokens: # [STATE] type_ = 1 [/STATE] [STATE] value = '' [/STATE] [STATE] value = '{message}' [/STATE] [STATE] value = '\\n' [/STATE] [STATE] value = '{exception}' [/STATE]\n if type_ == TokenType.TEXT:\n output += value # [STATE] output = '{message}' [/STATE] [STATE] output = '{message}\\n' [/STATE] [STATE] output = '{message}\\n{exception}' [/STATE]\n return output\n\nstrip([(1, ''), (1, '{message}'), (1, '\\n'), (1, '{exception}')])", "loop_code": "1: def strip(tokens):\n2: output = \"\"\n3: for type_, value in tokens:\n4: if type_ == TokenType.TEXT:\n5: output += value\n6: return output\n7:\n8: strip([(1, ''), (1, '{message}'), (1, '\\n'), (1, '{exception}')])", "question": "What is the value of ' output ' in line '5' after '3' th iteration when 'strip([(1, ''), (1, '{message}'), (1, '\\n'), (1, '{exception}')])' is executed?", "answer": " '{message}\\n{exception}' ", "variable_assignment": " output = '{message}\\n{exception}' "} +{"idx": 29, "scratchpad_format": "def warn_about_celery_args_used_in_flower_command(ctx, flower_args):\n celery_options = [option for param in ctx.parent.command.params for option in param.opts] # [STATE] celery_options = ['-A', '--app', '-b', '--broker'] [/STATE]\n\n incorrectly_used_args = [] # [STATE] incorrectly_used_args = [] [/STATE]\n for arg in flower_args: # [STATE] arg = '--port=5678' [/STATE] [STATE] arg = '--address=0.0.0.0' [/STATE]\n arg_name, _, _ = arg.partition(\"=\") # [STATE] arg_name = '--port' [/STATE] [STATE] _ = '5678' [/STATE] [STATE] arg_name = '--address' [/STATE] [STATE] _ = '0.0.0.0' [/STATE]\n if arg_name in celery_options:\n incorrectly_used_args.append(arg_name)\n\n if incorrectly_used_args:\n logger.warning(\n 'You have incorrectly specified the following celery arguments after flower command:'\n ' %s. '\n 'Please specify them after celery command instead following this template: '\n 'celery [celery args] flower [flower args].', incorrectly_used_args\n )\n\nwarn_about_celery_args_used_in_flower_command({}, ('--port=5678', '--address=0.0.0.0'))", "loop_code": "1: def warn_about_celery_args_used_in_flower_command(ctx, flower_args):\n2: celery_options = [option for param in ctx.parent.command.params for option in param.opts]\n3:\n4: incorrectly_used_args = []\n5: for arg in flower_args:\n6: arg_name, _, _ = arg.partition(\"=\")\n7: if arg_name in celery_options:\n8: incorrectly_used_args.append(arg_name)\n9:\n10: if incorrectly_used_args:\n11: logger.warning(\n12: 'You have incorrectly specified the following celery arguments after flower command:'\n13: ' %s. '\n14: 'Please specify them after celery command instead following this template: '\n15: 'celery [celery args] flower [flower args].', incorrectly_used_args\n16: )\n17:\n18: warn_about_celery_args_used_in_flower_command({}, ('--port=5678', '--address=0.0.0.0'))", "question": "What is the value of ' _ ' in line '6' after '4' th iteration when 'warn_about_celery_args_used_in_flower_command({}, ('--port=5678', '--address=0.0.0.0'))' is executed?", "answer": " '0.0.0.0' ", "variable_assignment": " _ = '0.0.0.0' "} +{"idx": 30, "scratchpad_format": "def _position_of_committer_with_initials(all_committers: List[str], initials: str) -> int:\n for index, committer in enumerate(all_committers): # [STATE] index = 0 [/STATE] [STATE] committer = 'initials1,name1,email1\\n' [/STATE] [STATE] index = 1 [/STATE] [STATE] committer = 'initials2,name2,email2\\n' [/STATE]\n if committer.startswith(initials):\n return index\n return _COMMITTER_NOT_PRESENT\n\n_position_of_committer_with_initials(['initials1,name1,email1\\n', 'initials2,name2,email2\\n'], 'initials3')", "loop_code": "1: def _position_of_committer_with_initials(all_committers: List[str], initials: str) -> int:\n2: for index, committer in enumerate(all_committers):\n3: if committer.startswith(initials):\n4: return index\n5: return _COMMITTER_NOT_PRESENT\n6:\n7: _position_of_committer_with_initials(['initials1,name1,email1\\n', 'initials2,name2,email2\\n'], 'initials3')", "question": "What is the value of ' index ' in line '2' after '1' th iteration when '_position_of_committer_with_initials(['initials1,name1,email1\\n', 'initials2,name2,email2\\n'], 'initials3')' is executed?", "answer": " 0 ", "variable_assignment": " index = 0 "} +{"idx": 31, "scratchpad_format": "def which(exe=None):\n \"\"\"\n Python clone of /usr/bin/which\n \"\"\"\n\n if not exe:\n log.error(\"No executable was passed to be searched by salt.utils.path.which()\")\n return None\n\n ## define some utilities (we use closures here because our predecessor used them)\n def is_executable_common(path): # [STATE] is_executable_common = .is_executable_common at 0x7f27d3207c10> [/STATE]\n \"\"\"\n This returns truth if posixy semantics (which python simulates on\n windows) states that this is executable.\n \"\"\"\n return os.path.isfile(path) and os.access(path, os.X_OK)\n\n def resolve(path): # [STATE] resolve = .resolve at 0x7f27d3207820> [/STATE]\n \"\"\"\n This will take a path and recursively follow the link until we get to a\n real file.\n \"\"\"\n while os.path.islink(path):\n res = readlink(path)\n\n # if the link points to a relative target, then convert it to an\n # absolute path relative to the original path\n if not os.path.isabs(res):\n directory, _ = os.path.split(path)\n res = join(directory, res)\n path = res\n return path\n\n # windows-only\n def has_executable_ext(path, ext_membership): # [STATE] has_executable_ext = .has_executable_ext at 0x7f27d31c20d0> [/STATE]\n \"\"\"\n Extract the extension from the specified path, lowercase it so we\n can be insensitive, and then check it against the available exts.\n \"\"\"\n p, ext = os.path.splitext(path)\n return ext.lower() in ext_membership\n\n ## prepare related variables from the environment\n res = salt.utils.stringutils.to_unicode(os.environ.get(\"PATH\", \"\")) # [STATE] res = '/home/XXX/.gdrive-downloader:/local/arise/XXX/miniforge3/bin:/home/XXX/.gvm/pkgsets/go1.19.1/global/bin:/home/XXX/.gvm/gos/go1.19.1/bin:/home/XXX/.gvm/pkgsets/go1.19.1/global/overlay/bin:/home/XXX/.gvm/bin:/local/rcs/XXX/miniforge3/envs/saltstack+salt/bin:/local/rcs/XXX/miniforge3/condabin:/home/XXX/.gdrive-downloader:/local/arise/XXX/miniforge3/bin:/home/XXX/.vscode-server/cli/servers/Stable-31c37ee8f63491495ac49e43b8544550fbae4533/server/bin/remote-cli:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/home/XXX/.local/bin:/home/XXX/.local/bin' [/STATE]\n system_path = res.split(os.pathsep) # [STATE] system_path = ['/home/XXX/.gdrive-downloader', '/local/arise/XXX/miniforge3/bin', '/home/XXX/.gvm/pkgsets/go1.19.1/global/bin', '/home/XXX/.gvm/gos/go1.19.1/bin', '/home/XXX/.gvm/pkgsets/go1.19.1/global/overlay/bin', '/home/XXX/.gvm/bin', '/local/rcs/XXX/miniforge3/envs/saltstack+salt/bin', '/local/rcs/XXX/miniforge3/condabin', '/home/XXX/.gdrive-downloader', '/local/arise/XXX/miniforge3/bin', '/home/XXX/.vscode-server/cli/servers/Stable-31c37ee8f63491495ac49e43b8544550fbae4533/server/bin/remote-cli', '/usr/local/sbin', '/usr/local/bin', '/usr/sbin', '/usr/bin', '/sbin', '/bin', '/usr/games', '/usr/local/games', '/snap/bin', '/home/XXX/.local/bin', '/home/XXX/.local/bin'] [/STATE]\n\n # add some reasonable defaults in case someone's PATH is busted\n if not salt.utils.platform.is_windows():\n res = set(system_path) # [STATE] res = {'/usr/games', '/sbin', '/home/XXX/.gvm/gos/go1.19.1/bin', '/home/XXX/.gvm/bin', '/home/XXX/.gvm/pkgsets/go1.19.1/global/bin', '/home/XXX/.local/bin', '/snap/bin', '/usr/bin', '/home/XXX/.vscode-server/cli/servers/Stable-31c37ee8f63491495ac49e43b8544550fbae4533/server/bin/remote-cli', '/home/XXX/.gvm/pkgsets/go1.19.1/global/overlay/bin', '/bin', '/local/rcs/XXX/miniforge3/envs/saltstack+salt/bin', '/usr/local/games', '/usr/local/sbin', '/home/XXX/.gdrive-downloader', '/local/rcs/XXX/miniforge3/condabin', '/local/arise/XXX/miniforge3/bin', '/usr/sbin', '/usr/local/bin'} [/STATE]\n extended_path = [ # [STATE] extended_path = ['/sbin', '/bin', '/usr/sbin', '/usr/bin', '/usr/local/sbin', '/usr/local/bin'] [/STATE]\n \"/sbin\",\n \"/bin\",\n \"/usr/sbin\",\n \"/usr/bin\",\n \"/usr/local/sbin\",\n \"/usr/local/bin\",\n ]\n system_path.extend([p for p in extended_path if p not in res])\n\n ## now to define the semantics of what's considered executable on a given platform\n if salt.utils.platform.is_windows():\n # executable semantics on windows requires us to search PATHEXT\n res = salt.utils.stringutils.to_str(os.environ.get(\"PATHEXT\", \".EXE\"))\n\n # generate two variables, one of them for O(n) searches (but ordered)\n # and another for O(1) searches. the previous guy was trying to use\n # memoization with a function that has no arguments, this provides\n # the exact same benefit\n pathext = res.split(os.pathsep)\n res = {ext.lower() for ext in pathext}\n\n # check if our caller already specified a valid extension as then we don't need to match it\n _, ext = os.path.splitext(exe)\n if ext.lower() in res:\n pathext = [\"\"]\n\n is_executable = is_executable_common\n\n # The specified extension isn't valid, so we just assume it's part of the\n # filename and proceed to walk the pathext list\n else:\n is_executable = lambda path, membership=res: is_executable_common(\n path\n ) and has_executable_ext(path, membership)\n\n else:\n # in posix, there's no such thing as file extensions..only zuul\n pathext = [\"\"] # [STATE] pathext = [''] [/STATE]\n\n # executable semantics are pretty simple on reasonable platforms...\n is_executable = is_executable_common # [STATE] is_executable = .is_executable_common at 0x7f27d3207c10> [/STATE]\n\n ## search for the executable\n\n # check to see if the full path was specified as then we don't need\n # to actually walk the system_path for any reason\n if is_executable(exe):\n return exe\n\n # now to search through our system_path\n for path in system_path: # [STATE] path = '/home/XXX/.gdrive-downloader' [/STATE] [STATE] path = '/local/arise/XXX/miniforge3/bin' [/STATE] [STATE] path = '/home/XXX/.gvm/pkgsets/go1.19.1/global/bin' [/STATE] [STATE] path = '/home/XXX/.gvm/gos/go1.19.1/bin' [/STATE] [STATE] path = '/home/XXX/.gvm/pkgsets/go1.19.1/global/overlay/bin' [/STATE] [STATE] path = '/home/XXX/.gvm/bin' [/STATE] [STATE] path = '/local/rcs/XXX/miniforge3/envs/saltstack+salt/bin' [/STATE] [STATE] path = '/local/rcs/XXX/miniforge3/condabin' [/STATE] [STATE] path = '/home/XXX/.vscode-server/cli/servers/Stable-31c37ee8f63491495ac49e43b8544550fbae4533/server/bin/remote-cli' [/STATE] [STATE] path = '/usr/local/sbin' [/STATE] [STATE] path = '/usr/local/bin' [/STATE] [STATE] path = '/usr/sbin' [/STATE] [STATE] path = '/usr/bin' [/STATE]\n p = join(path, exe) # [STATE] p = '/home/XXX/.gdrive-downloader/true' [/STATE] [STATE] p = '/local/arise/XXX/miniforge3/bin/true' [/STATE] [STATE] p = '/home/XXX/.gvm/pkgsets/go1.19.1/global/bin/true' [/STATE] [STATE] p = '/home/XXX/.gvm/gos/go1.19.1/bin/true' [/STATE] [STATE] p = '/home/XXX/.gvm/pkgsets/go1.19.1/global/overlay/bin/true' [/STATE] [STATE] p = '/home/XXX/.gvm/bin/true' [/STATE] [STATE] p = '/local/rcs/XXX/miniforge3/envs/saltstack+salt/bin/true' [/STATE] [STATE] p = '/local/rcs/XXX/miniforge3/condabin/true' [/STATE] [STATE] p = '/home/XXX/.vscode-server/cli/servers/Stable-31c37ee8f63491495ac49e43b8544550fbae4533/server/bin/remote-cli/true' [/STATE] [STATE] p = '/usr/local/sbin/true' [/STATE] [STATE] p = '/usr/local/bin/true' [/STATE] [STATE] p = '/usr/sbin/true' [/STATE] [STATE] p = '/usr/bin/true' [/STATE]\n\n # iterate through all extensions to see which one is executable\n for ext in pathext: # [STATE] ext = '' [/STATE]\n pext = p + ext # [STATE] pext = '/home/XXX/.gdrive-downloader/true' [/STATE] [STATE] pext = '/local/arise/XXX/miniforge3/bin/true' [/STATE] [STATE] pext = '/home/XXX/.gvm/pkgsets/go1.19.1/global/bin/true' [/STATE] [STATE] pext = '/home/XXX/.gvm/gos/go1.19.1/bin/true' [/STATE] [STATE] pext = '/home/XXX/.gvm/pkgsets/go1.19.1/global/overlay/bin/true' [/STATE] [STATE] pext = '/home/XXX/.gvm/bin/true' [/STATE] [STATE] pext = '/local/rcs/XXX/miniforge3/envs/saltstack+salt/bin/true' [/STATE] [STATE] pext = '/local/rcs/XXX/miniforge3/condabin/true' [/STATE] [STATE] pext = '/home/XXX/.vscode-server/cli/servers/Stable-31c37ee8f63491495ac49e43b8544550fbae4533/server/bin/remote-cli/true' [/STATE] [STATE] pext = '/usr/local/sbin/true' [/STATE] [STATE] pext = '/usr/local/bin/true' [/STATE] [STATE] pext = '/usr/sbin/true' [/STATE] [STATE] pext = '/usr/bin/true' [/STATE]\n rp = resolve(pext) # [STATE] rp = '/home/XXX/.gdrive-downloader/true' [/STATE] [STATE] rp = '/local/arise/XXX/miniforge3/bin/true' [/STATE] [STATE] rp = '/home/XXX/.gvm/pkgsets/go1.19.1/global/bin/true' [/STATE] [STATE] rp = '/home/XXX/.gvm/gos/go1.19.1/bin/true' [/STATE] [STATE] rp = '/home/XXX/.gvm/pkgsets/go1.19.1/global/overlay/bin/true' [/STATE] [STATE] rp = '/home/XXX/.gvm/bin/true' [/STATE] [STATE] rp = '/local/rcs/XXX/miniforge3/envs/saltstack+salt/bin/true' [/STATE] [STATE] rp = '/local/rcs/XXX/miniforge3/condabin/true' [/STATE] [STATE] rp = '/home/XXX/.vscode-server/cli/servers/Stable-31c37ee8f63491495ac49e43b8544550fbae4533/server/bin/remote-cli/true' [/STATE] [STATE] rp = '/usr/local/sbin/true' [/STATE] [STATE] rp = '/usr/local/bin/true' [/STATE] [STATE] rp = '/usr/sbin/true' [/STATE] [STATE] rp = '/usr/bin/true' [/STATE]\n if is_executable(rp):\n return p + ext\n continue\n continue\n\n ## if something was executable, we should've found it already...\n log.trace(\n \"'%s' could not be found in the following search path: '%s'\", exe, system_path\n )\n return None\n\nwhich('true')", "loop_code": "1: def which(exe=None):\n2: \"\"\"\n3: Python clone of /usr/bin/which\n4: \"\"\"\n5:\n6: if not exe:\n7: log.error(\"No executable was passed to be searched by salt.utils.path.which()\")\n8: return None\n9:\n10: ## define some utilities (we use closures here because our predecessor used them)\n11: def is_executable_common(path):\n12: \"\"\"\n13: This returns truth if posixy semantics (which python simulates on\n14: windows) states that this is executable.\n15: \"\"\"\n16: return os.path.isfile(path) and os.access(path, os.X_OK)\n17:\n18: def resolve(path):\n19: \"\"\"\n20: This will take a path and recursively follow the link until we get to a\n21: real file.\n22: \"\"\"\n23: while os.path.islink(path):\n24: res = readlink(path)\n25:\n26: # if the link points to a relative target, then convert it to an\n27: # absolute path relative to the original path\n28: if not os.path.isabs(res):\n29: directory, _ = os.path.split(path)\n30: res = join(directory, res)\n31: path = res\n32: return path\n33:\n34: # windows-only\n35: def has_executable_ext(path, ext_membership):\n36: \"\"\"\n37: Extract the extension from the specified path, lowercase it so we\n38: can be insensitive, and then check it against the available exts.\n39: \"\"\"\n40: p, ext = os.path.splitext(path)\n41: return ext.lower() in ext_membership\n42:\n43: ## prepare related variables from the environment\n44: res = salt.utils.stringutils.to_unicode(os.environ.get(\"PATH\", \"\"))\n45: system_path = res.split(os.pathsep)\n46:\n47: # add some reasonable defaults in case someone's PATH is busted\n48: if not salt.utils.platform.is_windows():\n49: res = set(system_path)\n50: extended_path = [\n51: \"/sbin\",\n52: \"/bin\",\n53: \"/usr/sbin\",\n54: \"/usr/bin\",\n55: \"/usr/local/sbin\",\n56: \"/usr/local/bin\",\n57: ]\n58: system_path.extend([p for p in extended_path if p not in res])\n59:\n60: ## now to define the semantics of what's considered executable on a given platform\n61: if salt.utils.platform.is_windows():\n62: # executable semantics on windows requires us to search PATHEXT\n63: res = salt.utils.stringutils.to_str(os.environ.get(\"PATHEXT\", \".EXE\"))\n64:\n65: # generate two variables, one of them for O(n) searches (but ordered)\n66: # and another for O(1) searches. the previous guy was trying to use\n67: # memoization with a function that has no arguments, this provides\n68: # the exact same benefit\n69: pathext = res.split(os.pathsep)\n70: res = {ext.lower() for ext in pathext}\n71:\n72: # check if our caller already specified a valid extension as then we don't need to match it\n73: _, ext = os.path.splitext(exe)\n74: if ext.lower() in res:\n75: pathext = [\"\"]\n76:\n77: is_executable = is_executable_common\n78:\n79: # The specified extension isn't valid, so we just assume it's part of the\n80: # filename and proceed to walk the pathext list\n81: else:\n82: is_executable = lambda path, membership=res: is_executable_common(\n83: path\n84: ) and has_executable_ext(path, membership)\n85:\n86: else:\n87: # in posix, there's no such thing as file extensions..only zuul\n88: pathext = [\"\"]\n89:\n90: # executable semantics are pretty simple on reasonable platforms...\n91: is_executable = is_executable_common\n92:\n93: ## search for the executable\n94:\n95: # check to see if the full path was specified as then we don't need\n96: # to actually walk the system_path for any reason\n97: if is_executable(exe):\n98: return exe\n99:\n100: # now to search through our system_path\n101: for path in system_path:\n102: p = join(path, exe)\n103:\n104: # iterate through all extensions to see which one is executable\n105: for ext in pathext:\n106: pext = p + ext\n107: rp = resolve(pext)\n108: if is_executable(rp):\n109: return p + ext\n110: continue\n111: continue\n112:\n113: ## if something was executable, we should've found it already...\n114: log.trace(\n115: \"'%s' could not be found in the following search path: '%s'\", exe, system_path\n116: )\n117: return None\n118:\n119: which('true')", "question": "What is the value of ' p ' in line '102' after '10' th iteration when 'which('true')' is executed?", "answer": " '/usr/local/sbin/true' ", "variable_assignment": " p = '/usr/local/sbin/true' "} +{"idx": 32, "scratchpad_format": "def _find_and_replace_patterns(content, patterns_and_insertions):\n r\"\"\"content: str\n\n patterns_and_insertions: List[Dict]\n\n Example for patterns_and_insertions:\n\n [\n {\n \"pattern\" :\n r\"(?:\\\\figcompfigures{\\s*)(?P.*?)\\s*}\\s*{\\s*(?P.*?)\\s*}\\s*{\\s*(?P.*?)\\s*}\",\n \"insertion\" :\n r\"\\parbox[c]{{{second}\\linewidth}}{{\\includegraphics[width={third}\\linewidth]{{figures/{first}}}}}}\",\n \"description\": \"Replace figcompfigures\"\n },\n ]\n \"\"\"\n for pattern_and_insertion in patterns_and_insertions: # [STATE] pattern_and_insertion = {'pattern': '(?:\\\\\\\\figcompfigures{\\\\s*)(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}', 'insertion': '\\\\parbox[c]{{\\n {second}\\\\linewidth\\n }}{{\\n \\\\includegraphics[\\n width={third}\\\\linewidth\\n ]{{\\n figures/{first}\\n }}\\n }} ', 'description': 'Replace figcompfigures'} [/STATE]\n pattern = pattern_and_insertion['pattern'] # [STATE] pattern = '(?:\\\\\\\\figcompfigures{\\\\s*)(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}' [/STATE]\n insertion = pattern_and_insertion['insertion'] # [STATE] insertion = '\\\\parbox[c]{{\\n {second}\\\\linewidth\\n }}{{\\n \\\\includegraphics[\\n width={third}\\\\linewidth\\n ]{{\\n figures/{first}\\n }}\\n }} ' [/STATE]\n description = pattern_and_insertion['description'] # [STATE] description = 'Replace figcompfigures' [/STATE]\n logging.info('Processing pattern: %s.', description)\n p = regex.compile(pattern) # [STATE] p = regex.Regex('(?:\\\\\\\\figcompfigures{\\\\s*)(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}', flags=regex.V0) [/STATE]\n m = p.search(content) # [STATE] m = [/STATE]\n while m is not None:\n local_insertion = insertion.format(**m.groupdict()) # [STATE] local_insertion = '\\\\parbox[c]{\\n \\\\ww\\\\linewidth\\n }{\\n \\\\includegraphics[\\n width=1.0\\\\linewidth\\n ]{\\n figures/image1.jpg\\n }\\n } ' [/STATE] [STATE] local_insertion = '\\\\parbox[c]{\\n \\\\ww\\\\linewidth\\n }{\\n \\\\includegraphics[\\n width=1.0\\\\linewidth\\n ]{\\n figures/image2.jpg\\n }\\n } ' [/STATE]\n if pattern_and_insertion.get('strip_whitespace', True):\n local_insertion = strip_whitespace(local_insertion) # [STATE] local_insertion = '\\\\parbox[c]{\\\\ww\\\\linewidth}{\\\\includegraphics[width=1.0\\\\linewidth]{figures/image1.jpg}}' [/STATE] [STATE] local_insertion = '\\\\parbox[c]{\\\\ww\\\\linewidth}{\\\\includegraphics[width=1.0\\\\linewidth]{figures/image2.jpg}}' [/STATE]\n logging.info(f'Found {content[m.start():m.end()]:<70}')\n logging.info(f'Replacing with {local_insertion:<30}')\n content = content[: m.start()] + local_insertion + content[m.end() :] # [STATE] content = '& \\\\parbox[c]{\\\\ww\\\\linewidth}{\\\\includegraphics[width=1.0\\\\linewidth]{figures/image1.jpg}}\\n& \\\\figcompfigures{image2.jpg}{\\\\ww}{1.0}' [/STATE] [STATE] content = '& \\\\parbox[c]{\\\\ww\\\\linewidth}{\\\\includegraphics[width=1.0\\\\linewidth]{figures/image1.jpg}}\\n& \\\\parbox[c]{\\\\ww\\\\linewidth}{\\\\includegraphics[width=1.0\\\\linewidth]{figures/image2.jpg}}' [/STATE]\n m = p.search(content) # [STATE] m = [/STATE] [STATE] m = None [/STATE]\n logging.info('Finished pattern: %s.', description)\n return content\n\n_find_and_replace_patterns('& \\\\figcompfigures{\\n\\timage1.jpg\\n}{\\n\\t\\\\ww\\n}{\\n\\t1.0\\n\\t}\\n& \\\\figcompfigures{image2.jpg}{\\\\ww}{1.0}', [{'pattern': '(?:\\\\\\\\figcompfigures{\\\\s*)(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}', 'insertion': '\\\\parbox[c]{{\\n {second}\\\\linewidth\\n }}{{\\n \\\\includegraphics[\\n width={third}\\\\linewidth\\n ]{{\\n figures/{first}\\n }}\\n }} ', 'description': 'Replace figcompfigures'}])", "loop_code": "1: def _find_and_replace_patterns(content, patterns_and_insertions):\n2: r\"\"\"content: str\n3:\n4: patterns_and_insertions: List[Dict]\n5:\n6: Example for patterns_and_insertions:\n7:\n8: [\n9: {\n10: \"pattern\" :\n11: r\"(?:\\\\figcompfigures{\\s*)(?P.*?)\\s*}\\s*{\\s*(?P.*?)\\s*}\\s*{\\s*(?P.*?)\\s*}\",\n12: \"insertion\" :\n13: r\"\\parbox[c]{{{second}\\linewidth}}{{\\includegraphics[width={third}\\linewidth]{{figures/{first}}}}}}\",\n14: \"description\": \"Replace figcompfigures\"\n15: },\n16: ]\n17: \"\"\"\n18: for pattern_and_insertion in patterns_and_insertions:\n19: pattern = pattern_and_insertion['pattern']\n20: insertion = pattern_and_insertion['insertion']\n21: description = pattern_and_insertion['description']\n22: logging.info('Processing pattern: %s.', description)\n23: p = regex.compile(pattern)\n24: m = p.search(content)\n25: while m is not None:\n26: local_insertion = insertion.format(**m.groupdict())\n27: if pattern_and_insertion.get('strip_whitespace', True):\n28: local_insertion = strip_whitespace(local_insertion)\n29: logging.info(f'Found {content[m.start():m.end()]:<70}')\n30: logging.info(f'Replacing with {local_insertion:<30}')\n31: content = content[: m.start()] + local_insertion + content[m.end() :]\n32: m = p.search(content)\n33: logging.info('Finished pattern: %s.', description)\n34: return content\n35:\n36: _find_and_replace_patterns('& \\\\figcompfigures{\\n\\timage1.jpg\\n}{\\n\\t\\\\ww\\n}{\\n\\t1.0\\n\\t}\\n& \\\\figcompfigures{image2.jpg}{\\\\ww}{1.0}', [{'pattern': '(?:\\\\\\\\figcompfigures{\\\\s*)(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}', 'insertion': '\\\\parbox[c]{{\\n {second}\\\\linewidth\\n }}{{\\n \\\\includegraphics[\\n width={third}\\\\linewidth\\n ]{{\\n figures/{first}\\n }}\\n }} ', 'description': 'Replace figcompfigures'}])", "question": "What is the value of ' pattern ' in line '19' after '1' th iteration when '_find_and_replace_patterns('& \\\\figcompfigures{\\n\\timage1.jpg\\n}{\\n\\t\\\\ww\\n}{\\n\\t1.0\\n\\t}\\n& \\\\figcompfigures{image2.jpg}{\\\\ww}{1.0}', [{'pattern': '(?:\\\\\\\\figcompfigures{\\\\s*)(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}', 'insertion': '\\\\parbox[c]{{\\n {second}\\\\linewidth\\n }}{{\\n \\\\includegraphics[\\n width={third}\\\\linewidth\\n ]{{\\n figures/{first}\\n }}\\n }} ', 'description': 'Replace figcompfigures'}])' is executed?", "answer": " '(?:\\\\\\\\figcompfigures{\\\\s*)(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}' ", "variable_assignment": " pattern = '(?:\\\\\\\\figcompfigures{\\\\s*)(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}\\\\s*{\\\\s*(?P.*?)\\\\s*}' "} +{"idx": 33, "scratchpad_format": "def _keep_pattern(haystack, patterns_to_keep):\n \"\"\"Keeps the strings that match 'patterns_to_keep'.\"\"\"\n out = [] # [STATE] out = [] [/STATE]\n for item in haystack: # [STATE] item = 'abc' [/STATE] [STATE] item = 'bca' [/STATE]\n if any((regex.findall(rem, item) for rem in patterns_to_keep)):\n out.append(item) # [STATE] out = ['abc'] [/STATE] [STATE] out = ['abc', 'bca'] [/STATE]\n return out\n\n_keep_pattern(['abc', 'bca'], ['a'])", "loop_code": "1: def _keep_pattern(haystack, patterns_to_keep):\n2: \"\"\"Keeps the strings that match 'patterns_to_keep'.\"\"\"\n3: out = []\n4: for item in haystack:\n5: if any((regex.findall(rem, item) for rem in patterns_to_keep)):\n6: out.append(item)\n7: return out\n8:\n9: _keep_pattern(['abc', 'bca'], ['a'])", "question": "What is the value of ' out ' in line '6' after '1' th iteration when '_keep_pattern(['abc', 'bca'], ['a'])' is executed?", "answer": " ['abc'] ", "variable_assignment": " out = ['abc'] "} +{"idx": 34, "scratchpad_format": "def merge_args_into_config(args, config_params):\n final_args = copy.deepcopy(config_params) # [STATE] final_args = {'input_folder': 'foo_/bar_', 'resize_images': True, 'im_size': 1000, 'compress_pdf': True, 'pdf_im_resolution': 1000, 'images_allowlist': {'path2/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'} [/STATE]\n config_keys = config_params.keys() # [STATE] config_keys = dict_keys(['input_folder', 'resize_images', 'im_size', 'compress_pdf', 'pdf_im_resolution', 'images_allowlist', 'commands_to_delete', 'use_external_tikz']) [/STATE]\n for key, value in args.items(): # [STATE] key = 'input_folder' [/STATE] [STATE] value = 'foo/bar' [/STATE] [STATE] key = 'resize_images' [/STATE] [STATE] value = False [/STATE] [STATE] key = 'im_size' [/STATE] [STATE] value = 500 [/STATE] [STATE] key = 'compress_pdf' [/STATE] [STATE] key = 'pdf_im_resolution' [/STATE] [STATE] key = 'images_allowlist' [/STATE] [STATE] value = {'path1/': 1000} [/STATE] [STATE] key = 'commands_to_delete' [/STATE] [STATE] value = ['\\\\todo1'] [/STATE] [STATE] key = 'use_external_tikz' [/STATE] [STATE] value = 'foo/bar/tikz' [/STATE]\n if key in config_keys:\n if any([isinstance(value, t) for t in [str, bool, float, int]]):\n # Overwrites config value with args value.\n final_args[key] = value # [STATE] final_args = {'input_folder': 'foo/bar', 'resize_images': True, 'im_size': 1000, 'compress_pdf': True, 'pdf_im_resolution': 1000, 'images_allowlist': {'path2/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'} [/STATE] [STATE] final_args = {'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 1000, 'compress_pdf': True, 'pdf_im_resolution': 1000, 'images_allowlist': {'path2/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'} [/STATE] [STATE] final_args = {'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': True, 'pdf_im_resolution': 1000, 'images_allowlist': {'path2/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'} [/STATE] [STATE] final_args = {'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 1000, 'images_allowlist': {'path2/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'} [/STATE] [STATE] final_args = {'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 500, 'images_allowlist': {'path2/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'} [/STATE] [STATE] final_args = {'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 500, 'images_allowlist': {'path2/': 1000, 'path1/': 1000}, 'commands_to_delete': ['\\\\todo1', '\\\\todo2'], 'use_external_tikz': 'foo/bar/tikz'} [/STATE]\n elif isinstance(value, list):\n # Appends args values to config values.\n final_args[key] = value + config_params[key] # [STATE] final_args = {'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 500, 'images_allowlist': {'path2/': 1000, 'path1/': 1000}, 'commands_to_delete': ['\\\\todo1', '\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'} [/STATE]\n elif isinstance(value, dict):\n # Updates config params with args params.\n final_args[key].update(**value) # [STATE] final_args = {'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 500, 'images_allowlist': {'path2/': 1000, 'path1/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'} [/STATE]\n else:\n final_args[key] = value\n return final_args\n\nmerge_args_into_config({'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 500, 'images_allowlist': {'path1/': 1000}, 'commands_to_delete': ['\\\\todo1'], 'use_external_tikz': 'foo/bar/tikz'}, {'input_folder': 'foo_/bar_', 'resize_images': True, 'im_size': 1000, 'compress_pdf': True, 'pdf_im_resolution': 1000, 'images_allowlist': {'path2/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'})", "loop_code": "1: def merge_args_into_config(args, config_params):\n2: final_args = copy.deepcopy(config_params)\n3: config_keys = config_params.keys()\n4: for key, value in args.items():\n5: if key in config_keys:\n6: if any([isinstance(value, t) for t in [str, bool, float, int]]):\n7: # Overwrites config value with args value.\n8: final_args[key] = value\n9: elif isinstance(value, list):\n10: # Appends args values to config values.\n11: final_args[key] = value + config_params[key]\n12: elif isinstance(value, dict):\n13: # Updates config params with args params.\n14: final_args[key].update(**value)\n15: else:\n16: final_args[key] = value\n17: return final_args\n18:\n19: merge_args_into_config({'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 500, 'images_allowlist': {'path1/': 1000}, 'commands_to_delete': ['\\\\todo1'], 'use_external_tikz': 'foo/bar/tikz'}, {'input_folder': 'foo_/bar_', 'resize_images': True, 'im_size': 1000, 'compress_pdf': True, 'pdf_im_resolution': 1000, 'images_allowlist': {'path2/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'})", "question": "What is the value of ' final_args ' in line '8' after '6' th iteration when 'merge_args_into_config({'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 500, 'images_allowlist': {'path1/': 1000}, 'commands_to_delete': ['\\\\todo1'], 'use_external_tikz': 'foo/bar/tikz'}, {'input_folder': 'foo_/bar_', 'resize_images': True, 'im_size': 1000, 'compress_pdf': True, 'pdf_im_resolution': 1000, 'images_allowlist': {'path2/': 1000}, 'commands_to_delete': ['\\\\todo2'], 'use_external_tikz': 'foo_/bar_/tikz_'})' is executed?", "answer": " {'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 500, 'images_allowlist': {'path2/': 1000, 'path1/': 1000}, 'commands_to_delete': ['\\\\todo1', '\\\\todo2'], 'use_external_tikz': 'foo/bar/tikz'} ", "variable_assignment": " final_args = {'input_folder': 'foo/bar', 'resize_images': False, 'im_size': 500, 'compress_pdf': False, 'pdf_im_resolution': 500, 'images_allowlist': {'path2/': 1000, 'path1/': 1000}, 'commands_to_delete': ['\\\\todo1', '\\\\todo2'], 'use_external_tikz': 'foo/bar/tikz'} "} +{"idx": 35, "scratchpad_format": "def _remove_command(text, command, keep_text=False):\n \"\"\"Removes '\\\\command{*}' from the string 'text'.\n\n Regex `base_pattern` used to match balanced parentheses taken from:\n https://stackoverflow.com/questions/546433/regular-expression-to-match-balanced-parentheses/35271017#35271017\n \"\"\"\n base_pattern = r'\\\\' + command + r'\\{((?:[^{}]+|\\{(?1)\\})*)\\}' # [STATE] base_pattern = '\\\\\\\\todo\\\\{((?:[^{}]+|\\\\{(?1)\\\\})*)\\\\}' [/STATE]\n # Loops in case of nested commands that need to retain text, e.g.,\n # \\red{hello \\red{world}}.\n while True:\n all_substitutions = [] # [STATE] all_substitutions = [] [/STATE]\n has_match = False # [STATE] has_match = False [/STATE]\n for match in regex.finditer(base_pattern, text): # [STATE] match = [/STATE]\n # In case there are only spaces or nothing up to the following newline,\n # adds a percent, not to alter the newlines.\n has_match = True # [STATE] has_match = True [/STATE]\n new_substring = ( # [STATE] new_substring = '' [/STATE]\n ''\n if not keep_text\n else text[match.span()[0] + len(command) + 2 : match.span()[1] - 1]\n )\n if match.span()[1] < len(text):\n next_newline = text[match.span()[1] :].find('\\n') # [STATE] next_newline = 1 [/STATE]\n if next_newline != -1:\n text_until_newline = text[ # [STATE] text_until_newline = 'D' [/STATE]\n match.span()[1] : match.span()[1] + next_newline\n ]\n if (\n not text_until_newline or text_until_newline.isspace()\n ) and not keep_text:\n new_substring = '%'\n all_substitutions.append( # [STATE] all_substitutions = [(1, 11, '')] [/STATE]\n (match.span()[0], match.span()[1], new_substring)\n )\n\n for start, end, new_substring in reversed(all_substitutions): # [STATE] start = 1 [/STATE] [STATE] end = 11 [/STATE]\n text = text[:start] + new_substring + text[end:] # [STATE] text = 'AD\\nE\\n\\\\end{document}' [/STATE]\n\n if not keep_text or not has_match:\n break\n\n return text\n\n_remove_command('A\\\\todo{B\\nC}D\\nE\\n\\\\end{document}', 'todo', False)", "loop_code": "1: def _remove_command(text, command, keep_text=False):\n2: \"\"\"Removes '\\\\command{*}' from the string 'text'.\n3:\n4: Regex `base_pattern` used to match balanced parentheses taken from:\n5: https://stackoverflow.com/questions/546433/regular-expression-to-match-balanced-parentheses/35271017#35271017\n6: \"\"\"\n7: base_pattern = r'\\\\' + command + r'\\{((?:[^{}]+|\\{(?1)\\})*)\\}'\n8: # Loops in case of nested commands that need to retain text, e.g.,\n9: # \\red{hello \\red{world}}.\n10: while True:\n11: all_substitutions = []\n12: has_match = False\n13: for match in regex.finditer(base_pattern, text):\n14: # In case there are only spaces or nothing up to the following newline,\n15: # adds a percent, not to alter the newlines.\n16: has_match = True\n17: new_substring = (\n18: ''\n19: if not keep_text\n20: else text[match.span()[0] + len(command) + 2 : match.span()[1] - 1]\n21: )\n22: if match.span()[1] < len(text):\n23: next_newline = text[match.span()[1] :].find('\\n')\n24: if next_newline != -1:\n25: text_until_newline = text[\n26: match.span()[1] : match.span()[1] + next_newline\n27: ]\n28: if (\n29: not text_until_newline or text_until_newline.isspace()\n30: ) and not keep_text:\n31: new_substring = '%'\n32: all_substitutions.append(\n33: (match.span()[0], match.span()[1], new_substring)\n34: )\n35:\n36: for start, end, new_substring in reversed(all_substitutions):\n37: text = text[:start] + new_substring + text[end:]\n38:\n39: if not keep_text or not has_match:\n40: break\n41:\n42: return text\n43:\n44: _remove_command('A\\\\todo{B\\nC}D\\nE\\n\\\\end{document}', 'todo', False)", "question": "What is the value of ' has_match ' in line '16' after '1' th iteration when '_remove_command('A\\\\todo{B\\nC}D\\nE\\n\\\\end{document}', 'todo', False)' is executed?", "answer": " True ", "variable_assignment": " has_match = True "} +{"idx": 36, "scratchpad_format": "def _remove_comments_inline(text):\n \"\"\"Removes the comments from the string 'text' and ignores % inside \\\\url{}.\"\"\"\n if 'auto-ignore' in text:\n return text\n if text.lstrip(' ').lstrip('\\t').startswith('%'):\n return ''\n\n url_pattern = r'\\\\url\\{(?>[^{}]|(?R))*\\}' # [STATE] url_pattern = '\\\\\\\\url\\\\{(?>[^{}]|(?R))*\\\\}' [/STATE]\n\n def remove_comments(segment): # [STATE] remove_comments = .remove_comments at 0x7f185616f280> [/STATE]\n \"\"\"Remove comments from a segment of text.\"\"\"\n if segment.lstrip().startswith('%'):\n return ''\n match = regex.search(r'(?[^{}]|(?R))*\\}'\n9:\n10: def remove_comments(segment):\n11: \"\"\"Remove comments from a segment of text.\"\"\"\n12: if segment.lstrip().startswith('%'):\n13: return ''\n14: match = regex.search(r'(?)?()?[\\s%]*\\}\n filename_regex = path_prefix_regex + basename_regex # [STATE] filename_regex = '((/)?to/)?img(\\\\.ext)?' [/STATE]\n\n # Some files 'path/to/file' are referenced in tex as './path/to/file' thus\n # adds prefix for relative paths starting with './' or '.\\' to regex search.\n filename_regex = r'(.' + os.sep + r')?' + filename_regex # [STATE] filename_regex = '(./)?((/)?to/)?img(\\\\.ext)?' [/STATE]\n\n # Pads with braces and optional whitespace/comment characters.\n patn = r'\\{{[\\s%]*{}[\\s%]*\\}}'.format(filename_regex) # [STATE] patn = '\\\\{[\\\\s%]*(./)?((/)?to/)?img(\\\\.ext)?[\\\\s%]*\\\\}' [/STATE]\n # Picture references in LaTeX are allowed to be in different cases.\n return regex.search(patn, contents, regex.IGNORECASE)\n\n_search_reference('to/img.ext', '{long/path/to/img}', False)", "loop_code": "1: def _search_reference(filename, contents, strict=False):\n2: \"\"\"Returns a match object if filename is referenced in contents, and None otherwise.\n3:\n4: If not strict mode, path prefix and extension are optional.\n5: \"\"\"\n6: if strict:\n7: # regex pattern for strict=True for path/to/img.ext:\n8: # \\{[\\s%]*path/to/img\\.ext[\\s%]*\\}\n9: filename_regex = filename.replace('.', r'\\.')\n10: else:\n11: filename_path = Path(filename)\n12:\n13: # make extension optional\n14: root, extension = filename_path.stem, filename_path.suffix\n15: basename_regex = '{}({})?'.format(\n16: regex.escape(root), regex.escape(extension)\n17: )\n18:\n19: # iterate through parent fragments to make path prefix optional\n20: path_prefix_regex = ''\n21: for fragment in reversed(filename_path.parents):\n22: if fragment.name == '.':\n23: continue\n24: fragment = regex.escape(fragment.name)\n25: path_prefix_regex = '({}{}{})?'.format(\n26: path_prefix_regex, fragment, os.sep\n27: )\n28:\n29: # Regex pattern for strict=True for path/to/img.ext:\n30: # \\{[\\s%]*()?()?[\\s%]*\\}\n31: filename_regex = path_prefix_regex + basename_regex\n32:\n33: # Some files 'path/to/file' are referenced in tex as './path/to/file' thus\n34: # adds prefix for relative paths starting with './' or '.\\' to regex search.\n35: filename_regex = r'(.' + os.sep + r')?' + filename_regex\n36:\n37: # Pads with braces and optional whitespace/comment characters.\n38: patn = r'\\{{[\\s%]*{}[\\s%]*\\}}'.format(filename_regex)\n39: # Picture references in LaTeX are allowed to be in different cases.\n40: return regex.search(patn, contents, regex.IGNORECASE)\n41:\n42: _search_reference('to/img.ext', '{long/path/to/img}', False)", "question": "What is the value of ' fragment ' in line '24' after '2' th iteration when '_search_reference('to/img.ext', '{long/path/to/img}', False)' is executed?", "answer": " 'to' ", "variable_assignment": " fragment = 'to' "} +{"idx": 38, "scratchpad_format": "def run_arxiv_cleaner(parameters):\n \"\"\"Core of the code, runs the actual arXiv cleaner.\"\"\"\n\n files_to_delete = [ # [STATE] files_to_delete = ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$'] [/STATE]\n r'\\.aux$',\n r'\\.sh$',\n r'\\.blg$',\n r'\\.brf$',\n r'\\.log$',\n r'\\.out$',\n r'\\.ps$',\n r'\\.dvi$',\n r'\\.synctex.gz$',\n '~$',\n r'\\.backup$',\n r'\\.gitignore$',\n r'\\.DS_Store$',\n r'\\.svg$',\n r'^\\.idea',\n r'\\.dpth$',\n r'\\.md5$',\n r'\\.dep$',\n r'\\.auxlock$',\n r'\\.fls$',\n r'\\.fdb_latexmk$',\n ]\n\n if not parameters['keep_bib']:\n files_to_delete.append(r'\\.bib$') # [STATE] files_to_delete = ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'] [/STATE]\n\n parameters.update({ # [STATE] parameters = {'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$']} [/STATE]\n 'to_delete': files_to_delete,\n 'figures_to_copy_if_referenced': [\n r'\\.png$',\n r'\\.jpg$',\n r'\\.jpeg$',\n r'\\.pdf$',\n ],\n })\n\n logging.info('Collecting file structure.')\n parameters['output_folder'] = _create_out_folder(parameters['input_folder']) # [STATE] parameters = {'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'} [/STATE]\n\n from_zip = parameters['input_folder'].endswith('.zip') # [STATE] from_zip = False [/STATE]\n tempdir_context = ( # [STATE] tempdir_context = {_exceptions=()} [/STATE]\n tempfile.TemporaryDirectory() if from_zip else contextlib.suppress()\n )\n\n with tempdir_context as tempdir: # [STATE] tempdir = None [/STATE]\n\n if from_zip:\n logging.info('Unzipping input folder.')\n shutil.unpack_archive(parameters['input_folder'], tempdir)\n parameters['input_folder'] = tempdir\n\n splits = _split_all_files(parameters) # [STATE] splits = {'all': ['main.bib', 'main.bbl', 'main.tex', 'main.aux', 'ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'in_root': ['main.bib', 'main.bbl', 'main.tex', 'main.aux'], 'not_in_root': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'to_copy_in_root': ['main.bbl', 'main.tex'], 'to_copy_not_in_root': ['figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'tex_in_root': ['main.tex'], 'tex_not_in_root': ['figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], 'non_tex_in_root': ['main.bbl'], 'non_tex_not_in_root': ['figures/data_not_included.txt', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'external_tikz_figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf'], 'svg_inkscape': []} [/STATE]\n\n logging.info('Reading all tex files')\n tex_contents = _read_all_tex_contents( # [STATE] tex_contents = {'main.tex': ['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}\\n', '\\\\input{figures/figure_not_included_2.tex}\\n'], 'figures/figure_not_included_2.tex': [], 'figures/figure_included.tikz': ['\\ufeff\\\\tikzsetnextfilename{test2}\\n', '\\\\begin{tikzpicture}\\n', '\\\\node {root}\\n', 'child {node {left}}\\n', 'child {node {right}\\n', 'child {node {child}}\\n', 'child {node {child}}\\n', '};\\n', '\\\\end{tikzpicture}'], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}\\n', '\\\\addplot{figures/data_included.txt}\\n']} [/STATE]\n splits['tex_in_root'] + splits['tex_not_in_root'], parameters\n )\n\n for tex_file in tex_contents: # [STATE] tex_file = 'main.tex' [/STATE] [STATE] tex_file = 'figures/figure_not_included.tex' [/STATE] [STATE] tex_file = 'figures/figure_not_included_2.tex' [/STATE] [STATE] tex_file = 'figures/figure_included.tikz' [/STATE] [STATE] tex_file = 'figures/figure_included.tex' [/STATE]\n logging.info('Removing comments in file %s.', tex_file)\n tex_contents[tex_file] = _remove_comments_and_commands_to_delete( # [STATE] tex_contents = {'main.tex': '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}\\n', '\\\\input{figures/figure_not_included_2.tex}\\n'], 'figures/figure_not_included_2.tex': [], 'figures/figure_included.tikz': ['\\ufeff\\\\tikzsetnextfilename{test2}\\n', '\\\\begin{tikzpicture}\\n', '\\\\node {root}\\n', 'child {node {left}}\\n', 'child {node {right}\\n', 'child {node {child}}\\n', 'child {node {child}}\\n', '};\\n', '\\\\end{tikzpicture}'], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}\\n', '\\\\addplot{figures/data_included.txt}\\n']} [/STATE] [STATE] tex_contents = {'main.tex': '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', 'figures/figure_not_included.tex': '\\\\addplot{figures/data_not_included.txt}\\n\\\\input{figures/figure_not_included_2.tex}\\n', 'figures/figure_not_included_2.tex': [], 'figures/figure_included.tikz': ['\\ufeff\\\\tikzsetnextfilename{test2}\\n', '\\\\begin{tikzpicture}\\n', '\\\\node {root}\\n', 'child {node {left}}\\n', 'child {node {right}\\n', 'child {node {child}}\\n', 'child {node {child}}\\n', '};\\n', '\\\\end{tikzpicture}'], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}\\n', '\\\\addplot{figures/data_included.txt}\\n']} [/STATE] [STATE] tex_contents = {'main.tex': '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', 'figures/figure_not_included.tex': '\\\\addplot{figures/data_not_included.txt}\\n\\\\input{figures/figure_not_included_2.tex}\\n', 'figures/figure_not_included_2.tex': '', 'figures/figure_included.tikz': ['\\ufeff\\\\tikzsetnextfilename{test2}\\n', '\\\\begin{tikzpicture}\\n', '\\\\node {root}\\n', 'child {node {left}}\\n', 'child {node {right}\\n', 'child {node {child}}\\n', 'child {node {child}}\\n', '};\\n', '\\\\end{tikzpicture}'], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}\\n', '\\\\addplot{figures/data_included.txt}\\n']} [/STATE] [STATE] tex_contents = {'main.tex': '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', 'figures/figure_not_included.tex': '\\\\addplot{figures/data_not_included.txt}\\n\\\\input{figures/figure_not_included_2.tex}\\n', 'figures/figure_not_included_2.tex': '', 'figures/figure_included.tikz': '\\ufeff\\\\tikzsetnextfilename{test2}\\n\\\\begin{tikzpicture}\\n\\\\node {root}\\nchild {node {left}}\\nchild {node {right}\\nchild {node {child}}\\nchild {node {child}}\\n};\\n\\\\end{tikzpicture}\\n', 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}\\n', '\\\\addplot{figures/data_included.txt}\\n']} [/STATE] [STATE] tex_contents = {'main.tex': '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', 'figures/figure_not_included.tex': '\\\\addplot{figures/data_not_included.txt}\\n\\\\input{figures/figure_not_included_2.tex}\\n', 'figures/figure_not_included_2.tex': '', 'figures/figure_included.tikz': '\\ufeff\\\\tikzsetnextfilename{test2}\\n\\\\begin{tikzpicture}\\n\\\\node {root}\\nchild {node {left}}\\nchild {node {right}\\nchild {node {child}}\\nchild {node {child}}\\n};\\n\\\\end{tikzpicture}\\n', 'figures/figure_included.tex': '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n'} [/STATE]\n tex_contents[tex_file], parameters\n )\n\n for tex_file in tex_contents: # [STATE] tex_file = 'main.tex' [/STATE] [STATE] tex_file = 'figures/figure_not_included.tex' [/STATE] [STATE] tex_file = 'figures/figure_not_included_2.tex' [/STATE] [STATE] tex_file = 'figures/figure_included.tikz' [/STATE] [STATE] tex_file = 'figures/figure_included.tex' [/STATE]\n logging.info('Replacing \\\\includesvg calls in file %s.', tex_file)\n tex_contents[tex_file] = _replace_includesvg(\n tex_contents[tex_file], splits['svg_inkscape']\n )\n\n for tex_file in tex_contents: # [STATE] tex_file = 'main.tex' [/STATE] [STATE] tex_file = 'figures/figure_not_included.tex' [/STATE] [STATE] tex_file = 'figures/figure_not_included_2.tex' [/STATE] [STATE] tex_file = 'figures/figure_included.tikz' [/STATE] [STATE] tex_file = 'figures/figure_included.tex' [/STATE]\n logging.info('Replacing Tikz Pictures in file %s.', tex_file)\n content = _replace_tikzpictures( # [STATE] content = '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\includegraphics{ext_tikz/test1.pdf}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n' [/STATE] [STATE] content = '\\\\addplot{figures/data_not_included.txt}\\n\\\\input{figures/figure_not_included_2.tex}\\n' [/STATE] [STATE] content = '' [/STATE] [STATE] content = '\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}\\n' [/STATE] [STATE] content = '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n' [/STATE]\n tex_contents[tex_file], splits['external_tikz_figures']\n )\n # If file ends with '\\n' already, the split in last line would add an extra\n # '\\n', so we remove it.\n tex_contents[tex_file] = content.split('\\n') # [STATE] tex_contents = {'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': '\\\\addplot{figures/data_not_included.txt}\\n\\\\input{figures/figure_not_included_2.tex}\\n', 'figures/figure_not_included_2.tex': '', 'figures/figure_included.tikz': '\\ufeff\\\\tikzsetnextfilename{test2}\\n\\\\begin{tikzpicture}\\n\\\\node {root}\\nchild {node {left}}\\nchild {node {right}\\nchild {node {child}}\\nchild {node {child}}\\n};\\n\\\\end{tikzpicture}\\n', 'figures/figure_included.tex': '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n'} [/STATE] [STATE] tex_contents = {'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': '', 'figures/figure_included.tikz': '\\ufeff\\\\tikzsetnextfilename{test2}\\n\\\\begin{tikzpicture}\\n\\\\node {root}\\nchild {node {left}}\\nchild {node {right}\\nchild {node {child}}\\nchild {node {child}}\\n};\\n\\\\end{tikzpicture}\\n', 'figures/figure_included.tex': '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n'} [/STATE] [STATE] tex_contents = {'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': [''], 'figures/figure_included.tikz': '\\ufeff\\\\tikzsetnextfilename{test2}\\n\\\\begin{tikzpicture}\\n\\\\node {root}\\nchild {node {left}}\\nchild {node {right}\\nchild {node {child}}\\nchild {node {child}}\\n};\\n\\\\end{tikzpicture}\\n', 'figures/figure_included.tex': '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n'} [/STATE] [STATE] tex_contents = {'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': [''], 'figures/figure_included.tikz': ['\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}', ''], 'figures/figure_included.tex': '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n'} [/STATE] [STATE] tex_contents = {'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': [''], 'figures/figure_included.tikz': ['\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}', ''], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}', '\\\\addplot{figures/data_included.txt}', '']} [/STATE]\n\n _keep_only_referenced_tex(tex_contents, splits) # [STATE] splits = {'all': ['main.bib', 'main.bbl', 'main.tex', 'main.aux', 'ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'in_root': ['main.bib', 'main.bbl', 'main.tex', 'main.aux'], 'not_in_root': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'to_copy_in_root': ['main.bbl', 'main.tex'], 'to_copy_not_in_root': ['figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'tex_in_root': ['main.tex'], 'tex_not_in_root': ['figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], 'non_tex_in_root': ['main.bbl'], 'non_tex_not_in_root': ['figures/data_not_included.txt', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'external_tikz_figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf'], 'svg_inkscape': [], 'tex_to_copy': ['figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex']} [/STATE]\n _add_root_tex_files(splits)\n\n for tex_file in splits['tex_to_copy']: # [STATE] tex_file = 'figures/figure_included.tikz' [/STATE] [STATE] tex_file = 'main.tex' [/STATE]\n logging.info('Replacing patterns in file %s.', tex_file)\n content = '\\n'.join(tex_contents[tex_file]) # [STATE] content = '\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}\\n' [/STATE] [STATE] content = '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\includegraphics{ext_tikz/test1.pdf}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n' [/STATE]\n content = _find_and_replace_patterns(\n content, parameters.get('patterns_and_insertions', list())\n )\n tex_contents[tex_file] = content # [STATE] tex_contents = {'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': [''], 'figures/figure_included.tikz': ['\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}', ''], 'figures/figure_included.tex': '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n'} [/STATE] [STATE] tex_contents = {'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': [''], 'figures/figure_included.tikz': '\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}\\n', 'figures/figure_included.tex': '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n'} [/STATE] [STATE] tex_contents = {'main.tex': '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\includegraphics{ext_tikz/test1.pdf}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': [''], 'figures/figure_included.tikz': '\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}\\n', 'figures/figure_included.tex': '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n'} [/STATE]\n new_path = os.path.join(parameters['output_folder'], tex_file) # [STATE] new_path = '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv/figures/figure_included.tex' [/STATE] [STATE] new_path = '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv/figures/figure_included.tikz' [/STATE] [STATE] new_path = '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv/main.tex' [/STATE]\n logging.info('Writing modified contents to %s.', new_path)\n _write_file_content(\n content,\n new_path,\n )\n\n full_content = '\\n'.join( # [STATE] full_content = '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n\\n\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}\\n\\n\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\includegraphics{ext_tikz/test1.pdf}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n' [/STATE]\n ''.join(tex_contents[fn]) for fn in splits['tex_to_copy']\n )\n _copy_only_referenced_non_tex_not_in_root(parameters, full_content, splits)\n for non_tex_file in splits['non_tex_in_root']: # [STATE] non_tex_file = 'main.bbl' [/STATE]\n logging.info('Copying non-tex file %s.', non_tex_file)\n _copy_file(non_tex_file, parameters)\n\n _resize_and_copy_figures_if_referenced(parameters, full_content, splits)\n logging.info('Outputs written to %s', parameters['output_folder'])\n\nrun_arxiv_cleaner({'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False})", "loop_code": "1: def run_arxiv_cleaner(parameters):\n2: \"\"\"Core of the code, runs the actual arXiv cleaner.\"\"\"\n3:\n4: files_to_delete = [\n5: r'\\.aux$',\n6: r'\\.sh$',\n7: r'\\.blg$',\n8: r'\\.brf$',\n9: r'\\.log$',\n10: r'\\.out$',\n11: r'\\.ps$',\n12: r'\\.dvi$',\n13: r'\\.synctex.gz$',\n14: '~$',\n15: r'\\.backup$',\n16: r'\\.gitignore$',\n17: r'\\.DS_Store$',\n18: r'\\.svg$',\n19: r'^\\.idea',\n20: r'\\.dpth$',\n21: r'\\.md5$',\n22: r'\\.dep$',\n23: r'\\.auxlock$',\n24: r'\\.fls$',\n25: r'\\.fdb_latexmk$',\n26: ]\n27:\n28: if not parameters['keep_bib']:\n29: files_to_delete.append(r'\\.bib$')\n30:\n31: parameters.update({\n32: 'to_delete': files_to_delete,\n33: 'figures_to_copy_if_referenced': [\n34: r'\\.png$',\n35: r'\\.jpg$',\n36: r'\\.jpeg$',\n37: r'\\.pdf$',\n38: ],\n39: })\n40:\n41: logging.info('Collecting file structure.')\n42: parameters['output_folder'] = _create_out_folder(parameters['input_folder'])\n43:\n44: from_zip = parameters['input_folder'].endswith('.zip')\n45: tempdir_context = (\n46: tempfile.TemporaryDirectory() if from_zip else contextlib.suppress()\n47: )\n48:\n49: with tempdir_context as tempdir:\n50:\n51: if from_zip:\n52: logging.info('Unzipping input folder.')\n53: shutil.unpack_archive(parameters['input_folder'], tempdir)\n54: parameters['input_folder'] = tempdir\n55:\n56: splits = _split_all_files(parameters)\n57:\n58: logging.info('Reading all tex files')\n59: tex_contents = _read_all_tex_contents(\n60: splits['tex_in_root'] + splits['tex_not_in_root'], parameters\n61: )\n62:\n63: for tex_file in tex_contents:\n64: logging.info('Removing comments in file %s.', tex_file)\n65: tex_contents[tex_file] = _remove_comments_and_commands_to_delete(\n66: tex_contents[tex_file], parameters\n67: )\n68:\n69: for tex_file in tex_contents:\n70: logging.info('Replacing \\\\includesvg calls in file %s.', tex_file)\n71: tex_contents[tex_file] = _replace_includesvg(\n72: tex_contents[tex_file], splits['svg_inkscape']\n73: )\n74:\n75: for tex_file in tex_contents:\n76: logging.info('Replacing Tikz Pictures in file %s.', tex_file)\n77: content = _replace_tikzpictures(\n78: tex_contents[tex_file], splits['external_tikz_figures']\n79: )\n80: # If file ends with '\\n' already, the split in last line would add an extra\n81: # '\\n', so we remove it.\n82: tex_contents[tex_file] = content.split('\\n')\n83:\n84: _keep_only_referenced_tex(tex_contents, splits)\n85: _add_root_tex_files(splits)\n86:\n87: for tex_file in splits['tex_to_copy']:\n88: logging.info('Replacing patterns in file %s.', tex_file)\n89: content = '\\n'.join(tex_contents[tex_file])\n90: content = _find_and_replace_patterns(\n91: content, parameters.get('patterns_and_insertions', list())\n92: )\n93: tex_contents[tex_file] = content\n94: new_path = os.path.join(parameters['output_folder'], tex_file)\n95: logging.info('Writing modified contents to %s.', new_path)\n96: _write_file_content(\n97: content,\n98: new_path,\n99: )\n100:\n101: full_content = '\\n'.join(\n102: ''.join(tex_contents[fn]) for fn in splits['tex_to_copy']\n103: )\n104: _copy_only_referenced_non_tex_not_in_root(parameters, full_content, splits)\n105: for non_tex_file in splits['non_tex_in_root']:\n106: logging.info('Copying non-tex file %s.', non_tex_file)\n107: _copy_file(non_tex_file, parameters)\n108:\n109: _resize_and_copy_figures_if_referenced(parameters, full_content, splits)\n110: logging.info('Outputs written to %s', parameters['output_folder'])\n111:\n112: run_arxiv_cleaner({'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False})", "question": "What is the value of ' tex_contents ' in line '65' after '2' th iteration when 'run_arxiv_cleaner({'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False})' is executed?", "answer": " {'main.tex': '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width", "variable_assignment": " tex_contents = {'main.tex': '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', 'figures/figure_not_included.tex': '\\\\addplot{figures/data_not_included.txt}\\n\\\\input{figures/figure_not_included_2.tex}\\n', 'figures/figure_not_included_2.tex': [], 'figures/figure_included.tikz': ['\\ufeff\\\\tikzsetnextfilename{test2}\\n', '\\\\begin{tikzpicture}\\n', '\\\\node {root}\\n', 'child {node {left}}\\n', 'child {node {right}\\n', 'child {node {child}}\\n', 'child {node {child}}\\n', '};\\n', '\\\\end{tikzpicture}'], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}\\n', '\\\\addplot{figures/data_included.txt}\\n']} "} +{"idx": 39, "scratchpad_format": "def _read_all_tex_contents(tex_files, parameters):\n contents = {} # [STATE] contents = {} [/STATE]\n for fn in tex_files: # [STATE] fn = 'main.tex' [/STATE] [STATE] fn = 'figures/figure_not_included.tex' [/STATE] [STATE] fn = 'figures/figure_not_included_2.tex' [/STATE] [STATE] fn = 'figures/figure_included.tikz' [/STATE] [STATE] fn = 'figures/figure_included.tex' [/STATE]\n contents[fn] = _read_file_content( # [STATE] contents = {'main.tex': ['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n']} [/STATE] [STATE] contents = {'main.tex': ['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}\\n', '\\\\input{figures/figure_not_included_2.tex}\\n']} [/STATE] [STATE] contents = {'main.tex': ['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}\\n', '\\\\input{figures/figure_not_included_2.tex}\\n'], 'figures/figure_not_included_2.tex': []} [/STATE] [STATE] contents = {'main.tex': ['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}\\n', '\\\\input{figures/figure_not_included_2.tex}\\n'], 'figures/figure_not_included_2.tex': [], 'figures/figure_included.tikz': ['\\ufeff\\\\tikzsetnextfilename{test2}\\n', '\\\\begin{tikzpicture}\\n', '\\\\node {root}\\n', 'child {node {left}}\\n', 'child {node {right}\\n', 'child {node {child}}\\n', 'child {node {child}}\\n', '};\\n', '\\\\end{tikzpicture}']} [/STATE] [STATE] contents = {'main.tex': ['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}\\n', '\\\\input{figures/figure_not_included_2.tex}\\n'], 'figures/figure_not_included_2.tex': [], 'figures/figure_included.tikz': ['\\ufeff\\\\tikzsetnextfilename{test2}\\n', '\\\\begin{tikzpicture}\\n', '\\\\node {root}\\n', 'child {node {left}}\\n', 'child {node {right}\\n', 'child {node {child}}\\n', 'child {node {child}}\\n', '};\\n', '\\\\end{tikzpicture}'], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}\\n', '\\\\addplot{figures/data_included.txt}\\n']} [/STATE]\n os.path.join(parameters['input_folder'], fn)\n )\n return contents\n\n_read_all_tex_contents(['main.tex', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], {'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'})", "loop_code": "1: def _read_all_tex_contents(tex_files, parameters):\n2: contents = {}\n3: for fn in tex_files:\n4: contents[fn] = _read_file_content(\n5: os.path.join(parameters['input_folder'], fn)\n6: )\n7: return contents\n8:\n9: _read_all_tex_contents(['main.tex', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], {'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'})", "question": "What is the value of ' contents ' in line '4' after '2' th iteration when '_read_all_tex_contents(['main.tex', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], {'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'})' is executed?", "answer": " {'main.tex': ['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width", "variable_assignment": " contents = {'main.tex': ['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}\\n', '\\\\input{figures/figure_not_included_2.tex}\\n']} "} +{"idx": 40, "scratchpad_format": "def _strip_tex_contents(lines, end_str):\n \"\"\"Removes everything after end_str.\"\"\"\n for i in range(len(lines)): # [STATE] i = 0 [/STATE] [STATE] i = 1 [/STATE] [STATE] i = 2 [/STATE] [STATE] i = 3 [/STATE] [STATE] i = 4 [/STATE] [STATE] i = 5 [/STATE] [STATE] i = 6 [/STATE] [STATE] i = 7 [/STATE] [STATE] i = 8 [/STATE] [STATE] i = 9 [/STATE] [STATE] i = 10 [/STATE] [STATE] i = 11 [/STATE] [STATE] i = 12 [/STATE] [STATE] i = 13 [/STATE] [STATE] i = 14 [/STATE] [STATE] i = 15 [/STATE] [STATE] i = 16 [/STATE] [STATE] i = 17 [/STATE] [STATE] i = 18 [/STATE] [STATE] i = 19 [/STATE] [STATE] i = 20 [/STATE]\n if end_str in lines[i]:\n if '%' not in lines[i]:\n return lines[: i + 1]\n elif lines[i].index('%') > lines[i].index(end_str):\n return lines[: i + 1]\n return lines\n\n_strip_tex_contents(['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n', '\\n', 'This should be ignored.\\n'], '\\\\end{document}')", "loop_code": "1: def _strip_tex_contents(lines, end_str):\n2: \"\"\"Removes everything after end_str.\"\"\"\n3: for i in range(len(lines)):\n4: if end_str in lines[i]:\n5: if '%' not in lines[i]:\n6: return lines[: i + 1]\n7: elif lines[i].index('%') > lines[i].index(end_str):\n8: return lines[: i + 1]\n9: return lines\n10:\n11: _strip_tex_contents(['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n', '\\n', 'This should be ignored.\\n'], '\\\\end{document}')", "question": "What is the value of ' i ' in line '3' after '17' th iteration when '_strip_tex_contents(['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n', '\\n', 'This should be ignored.\\n'], '\\\\end{document}')' is executed?", "answer": " 16 ", "variable_assignment": " i = 16 "} +{"idx": 41, "scratchpad_format": "def _remove_comments_and_commands_to_delete(content, parameters):\n \"\"\"Erases all LaTeX comments in the content, and writes it.\"\"\"\n content = [_remove_comments_inline(line) for line in content] # [STATE] content = ['\\\\begin{document}\\n', 'Text\\n', '', '\\n', 'Text%\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '', '\\\\includegraphics{images/im1_included.png}\\n', '', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '', '', '', '', '', '\\n', '', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '', '\\n', '\\\\input{figures/figure_included.tex}\\n', '', '\\n', '', '', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'] [/STATE]\n content = _remove_environment(''.join(content), 'comment') # [STATE] content = '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should\\\\mytodo{Do this later} not be separated\\n\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\nPlease remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\nfrom this one.\\n\\n\\\\begin{mynote}\\n This is a custom environment that could be excluded.\\n\\\\end{mynote}\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\if false\\n\\\\if false\\n\\\\if 0\\n\\\\iffalse\\n\\\\ifvar\\nText\\n\\\\fi\\n\\\\fi\\n\\\\fi\\n\\\\fi\\n\\\\fi\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test \\\\red{hello\\ntest \\\\red{hello}}\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n' [/STATE]\n content = _remove_iffalse_block(content) # [STATE] content = '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should\\\\mytodo{Do this later} not be separated\\n\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\nPlease remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\nfrom this one.\\n\\n\\\\begin{mynote}\\n This is a custom environment that could be excluded.\\n\\\\end{mynote}\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test \\\\red{hello\\ntest \\\\red{hello}}\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n' [/STATE]\n for environment in parameters.get('environments_to_delete', []): # [STATE] environment = 'mynote' [/STATE]\n content = _remove_environment(content, environment) # [STATE] content = '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should\\\\mytodo{Do this later} not be separated\\n\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\nPlease remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test \\\\red{hello\\ntest \\\\red{hello}}\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n' [/STATE]\n for command in parameters.get('commands_only_to_delete', []): # [STATE] command = 'red' [/STATE]\n content = _remove_command(content, command, True) # [STATE] content = '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should\\\\mytodo{Do this later} not be separated\\n\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\nPlease remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n' [/STATE]\n for command in parameters['commands_to_delete']: # [STATE] command = 'mytodo' [/STATE]\n content = _remove_command(content, command, False) # [STATE] content = '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n' [/STATE]\n return content\n\n_remove_comments_and_commands_to_delete(['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'], {'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'})", "loop_code": "1: def _remove_comments_and_commands_to_delete(content, parameters):\n2: \"\"\"Erases all LaTeX comments in the content, and writes it.\"\"\"\n3: content = [_remove_comments_inline(line) for line in content]\n4: content = _remove_environment(''.join(content), 'comment')\n5: content = _remove_iffalse_block(content)\n6: for environment in parameters.get('environments_to_delete', []):\n7: content = _remove_environment(content, environment)\n8: for command in parameters.get('commands_only_to_delete', []):\n9: content = _remove_command(content, command, True)\n10: for command in parameters['commands_to_delete']:\n11: content = _remove_command(content, command, False)\n12: return content\n13:\n14: _remove_comments_and_commands_to_delete(['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'], {'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'})", "question": "What is the value of ' content ' in line '7' after '1' th iteration when '_remove_comments_and_commands_to_delete(['\\\\begin{document}\\n', 'Text\\n', '% Whole line comment\\n', '\\n', 'Text% Inline comment\\n', '\\\\begin{comment}\\n', 'This is an environment comment.\\n', '\\\\end{comment}\\n', '\\n', 'This is a percent \\\\%.\\n', '% Whole line comment without newline\\n', '\\\\includegraphics{images/im1_included.png}\\n', '%\\\\includegraphics{images/im_not_included}\\n', '\\\\includegraphics{images/im3_included.png}\\n', '\\\\includegraphics{%\\n', ' images/im4_included.png%\\n', ' }\\n', '\\\\includegraphics[width=.5\\\\linewidth]{%\\n', ' images/im5_included.jpg}\\n', '%\\\\includegraphics{%\\n', '% images/im4_not_included.png\\n', '% }\\n', '%\\\\includegraphics[width=.5\\\\linewidth]{%\\n', '% images/im5_not_included.jpg}\\n', '\\n', '% test whatever the path satrting with dot works when include graphics\\n', '\\\\includegraphics{./images/im3_included.png}\\n', '\\n', 'This line should\\\\mytodo{Do this later} not be separated\\n', '\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\n', 'Please remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\n', 'from this one.\\n', '\\n', '\\\\begin{mynote}\\n', ' This is a custom environment that could be excluded.\\n', '\\\\end{mynote}\\n', '\\n', '\\\\newif\\\\ifvar\\n', '\\n', '\\\\ifvar\\n', '\\\\if false\\n', '\\\\if false\\n', '\\\\if 0\\n', '\\\\iffalse\\n', '\\\\ifvar\\n', 'Text\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\\\fi\\n', '\\n', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\n', 'hello test \\\\red{hello\\n', 'test \\\\red{hello}}\\n', 'test\\n', '\\n', '% content after this line should not be cleaned if \\\\end{document} is in a comment\\n', '\\n', '\\\\input{figures/figure_included.tex}\\n', '% \\\\input{figures/figure_not_included.tex}\\n', '\\n', '% Test for tikzpicture feature\\n', '% should be replaced\\n', '\\\\tikzsetnextfilename{test1}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test1};\\n', '\\\\end{tikzpicture}\\n', '\\n', '% should be replaced in included file\\n', '\\\\input{figures/figure_included.tikz}\\n', '\\n', '% should not be be replaced - no preceding tikzsetnextfilename command\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test3};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\tikzsetnextfilename{test_no_match}\\n', '\\\\begin{tikzpicture}\\n', ' \\\\node (test) at (0,0) {Test4};\\n', '\\\\end{tikzpicture}\\n', '\\n', '\\\\end{document}\\n'], {'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'})' is executed?", "answer": " '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width", "variable_assignment": " content = '\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should\\\\mytodo{Do this later} not be separated\\n\\\\mytodo{This is a todo command with a nested \\\\textit{command}.\\nPlease remember that up to \\\\texttt{2 levels} of \\\\textit{nesting} are supported.}\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test \\\\red{hello\\ntest \\\\red{hello}}\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\tikzsetnextfilename{test1}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test1};\\n\\\\end{tikzpicture}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n' "} +{"idx": 42, "scratchpad_format": "def _keep_only_referenced_tex(contents, splits):\n \"\"\"Returns the filenames referenced from the tex files themselves.\n\n It needs various iterations in case one file is referenced from an\n unreferenced file.\n \"\"\"\n old_referenced = set(splits['tex_in_root'] + splits['tex_not_in_root']) # [STATE] old_referenced = {'figures/figure_included.tex', 'figures/figure_not_included.tex', 'figures/figure_included.tikz', 'main.tex', 'figures/figure_not_included_2.tex'} [/STATE]\n while True:\n referenced = set(splits['tex_in_root']) # [STATE] referenced = {'main.tex'} [/STATE]\n for fn in old_referenced: # [STATE] fn = 'figures/figure_included.tex' [/STATE] [STATE] fn = 'figures/figure_not_included.tex' [/STATE] [STATE] fn = 'figures/figure_included.tikz' [/STATE] [STATE] fn = 'main.tex' [/STATE] [STATE] fn = 'figures/figure_not_included_2.tex' [/STATE]\n for fn2 in old_referenced: # [STATE] fn2 = 'figures/figure_included.tex' [/STATE] [STATE] fn2 = 'figures/figure_not_included.tex' [/STATE] [STATE] fn2 = 'figures/figure_included.tikz' [/STATE] [STATE] fn2 = 'main.tex' [/STATE] [STATE] fn2 = 'figures/figure_not_included_2.tex' [/STATE]\n if regex.search(\n r'(' + os.path.splitext(fn)[0] + r'[.}])', '\\n'.join(contents[fn2])\n ):\n referenced.add(fn) # [STATE] referenced = {'figures/figure_included.tex', 'main.tex'} [/STATE] [STATE] referenced = {'figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex'} [/STATE] [STATE] referenced = {'figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex', 'figures/figure_not_included_2.tex'} [/STATE]\n\n if referenced == old_referenced:\n splits['tex_to_copy'] = list(referenced) # [STATE] splits = {'all': ['main.bib', 'main.bbl', 'main.tex', 'main.aux', 'ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'in_root': ['main.bib', 'main.bbl', 'main.tex', 'main.aux'], 'not_in_root': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'to_copy_in_root': ['main.bbl', 'main.tex'], 'to_copy_not_in_root': ['figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'tex_in_root': ['main.tex'], 'tex_not_in_root': ['figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], 'non_tex_in_root': ['main.bbl'], 'non_tex_not_in_root': ['figures/data_not_included.txt', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'external_tikz_figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf'], 'svg_inkscape': [], 'tex_to_copy': ['figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex']} [/STATE]\n return\n\n old_referenced = referenced.copy() # [STATE] old_referenced = {'figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex', 'figures/figure_not_included_2.tex'} [/STATE] [STATE] old_referenced = {'figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex'} [/STATE]\n\n_keep_only_referenced_tex({'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': [''], 'figures/figure_included.tikz': ['\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}', ''], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}', '\\\\addplot{figures/data_included.txt}', '']}, {'all': ['main.bib', 'main.bbl', 'main.tex', 'main.aux', 'ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'in_root': ['main.bib', 'main.bbl', 'main.tex', 'main.aux'], 'not_in_root': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'to_copy_in_root': ['main.bbl', 'main.tex'], 'to_copy_not_in_root': ['figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'tex_in_root': ['main.tex'], 'tex_not_in_root': ['figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], 'non_tex_in_root': ['main.bbl'], 'non_tex_not_in_root': ['figures/data_not_included.txt', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'external_tikz_figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf'], 'svg_inkscape': []})", "loop_code": "1: def _keep_only_referenced_tex(contents, splits):\n2: \"\"\"Returns the filenames referenced from the tex files themselves.\n3:\n4: It needs various iterations in case one file is referenced from an\n5: unreferenced file.\n6: \"\"\"\n7: old_referenced = set(splits['tex_in_root'] + splits['tex_not_in_root'])\n8: while True:\n9: referenced = set(splits['tex_in_root'])\n10: for fn in old_referenced:\n11: for fn2 in old_referenced:\n12: if regex.search(\n13: r'(' + os.path.splitext(fn)[0] + r'[.}])', '\\n'.join(contents[fn2])\n14: ):\n15: referenced.add(fn)\n16:\n17: if referenced == old_referenced:\n18: splits['tex_to_copy'] = list(referenced)\n19: return\n20:\n21: old_referenced = referenced.copy()\n22:\n23: _keep_only_referenced_tex({'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': [''], 'figures/figure_included.tikz': ['\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}', ''], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}', '\\\\addplot{figures/data_included.txt}', '']}, {'all': ['main.bib', 'main.bbl', 'main.tex', 'main.aux', 'ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'in_root': ['main.bib', 'main.bbl', 'main.tex', 'main.aux'], 'not_in_root': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'to_copy_in_root': ['main.bbl', 'main.tex'], 'to_copy_not_in_root': ['figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'tex_in_root': ['main.tex'], 'tex_not_in_root': ['figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], 'non_tex_in_root': ['main.bbl'], 'non_tex_not_in_root': ['figures/data_not_included.txt', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'external_tikz_figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf'], 'svg_inkscape': []})", "question": "What is the value of ' referenced ' in line '15' after '2' th iteration when '_keep_only_referenced_tex({'main.tex': ['\\\\begin{document}', 'Text', '', 'Text%', '', '', 'This is a percent \\\\%.', '\\\\includegraphics{images/im1_included.png}', '\\\\includegraphics{images/im3_included.png}', '\\\\includegraphics{%', ' images/im4_included.png%', ' }', '\\\\includegraphics[width=.5\\\\linewidth]{%', ' images/im5_included.jpg}', '', '\\\\includegraphics{./images/im3_included.png}', '', 'This line should not be separated', '%', 'from this one.', '', '', '', '\\\\newif\\\\ifvar', '', '\\\\ifvar', '\\\\fi', '', '\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}', 'hello test hello', 'test hello', 'test', '', '', '\\\\input{figures/figure_included.tex}', '', '\\\\includegraphics{ext_tikz/test1.pdf}', '', '\\\\input{figures/figure_included.tikz}', '', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test3};', '\\\\end{tikzpicture}', '', '\\\\tikzsetnextfilename{test_no_match}', '\\\\begin{tikzpicture}', ' \\\\node (test) at (0,0) {Test4};', '\\\\end{tikzpicture}', '', '\\\\end{document}', ''], 'figures/figure_not_included.tex': ['\\\\addplot{figures/data_not_included.txt}', '\\\\input{figures/figure_not_included_2.tex}', ''], 'figures/figure_not_included_2.tex': [''], 'figures/figure_included.tikz': ['\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}', ''], 'figures/figure_included.tex': ['\\\\includegraphics{images/im2_included.jpg}', '\\\\addplot{figures/data_included.txt}', '']}, {'all': ['main.bib', 'main.bbl', 'main.tex', 'main.aux', 'ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'in_root': ['main.bib', 'main.bbl', 'main.tex', 'main.aux'], 'not_in_root': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'to_copy_in_root': ['main.bbl', 'main.tex'], 'to_copy_not_in_root': ['figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'tex_in_root': ['main.tex'], 'tex_not_in_root': ['figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], 'non_tex_in_root': ['main.bbl'], 'non_tex_not_in_root': ['figures/data_not_included.txt', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'external_tikz_figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf'], 'svg_inkscape': []})' is executed?", "answer": " {'figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex'} ", "variable_assignment": " referenced = {'figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex'} "} +{"idx": 43, "scratchpad_format": "def _resize_and_copy_figures_if_referenced(parameters, contents, splits):\n image_size = collections.defaultdict(lambda: parameters['im_size']) # [STATE] image_size = defaultdict(. at 0x7f1854568670>, {}) [/STATE]\n image_size.update(parameters['images_allowlist']) # [STATE] image_size = defaultdict(. at 0x7f1854568670>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}) [/STATE]\n pdf_resolution = collections.defaultdict( # [STATE] pdf_resolution = defaultdict(. at 0x7f18545688b0>, {}) [/STATE]\n lambda: parameters['pdf_im_resolution']\n )\n pdf_resolution.update(parameters['images_allowlist']) # [STATE] pdf_resolution = defaultdict(. at 0x7f18545688b0>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}) [/STATE]\n for image_file in _keep_only_referenced( # [STATE] image_file = 'ext_tikz/test2.pdf' [/STATE] [STATE] image_file = 'ext_tikz/test1.pdf' [/STATE] [STATE] image_file = 'images/im4_included.png' [/STATE] [STATE] image_file = 'images/im3_included.png' [/STATE] [STATE] image_file = 'images/im2_included.jpg' [/STATE] [STATE] image_file = 'images/im5_included.jpg' [/STATE] [STATE] image_file = 'images/im1_included.png' [/STATE] [STATE] image_file = 'images/include/images/im3_included.png' [/STATE]\n splits['figures'], contents, strict=False\n ):\n _resize_and_copy_figure(\n filename=image_file,\n origin_folder=parameters['input_folder'],\n destination_folder=parameters['output_folder'],\n resize_image=parameters['resize_images'],\n image_size=image_size[image_file], # [STATE] image_size = defaultdict(. at 0x7f1854568670>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 100}) [/STATE] [STATE] image_size = defaultdict(. at 0x7f1854568670>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 100, 'ext_tikz/test1.pdf': 100}) [/STATE] [STATE] image_size = defaultdict(. at 0x7f1854568670>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 100, 'ext_tikz/test1.pdf': 100, 'images/im4_included.png': 100}) [/STATE] [STATE] image_size = defaultdict(. at 0x7f1854568670>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 100, 'ext_tikz/test1.pdf': 100, 'images/im4_included.png': 100, 'images/im5_included.jpg': 100}) [/STATE] [STATE] image_size = defaultdict(. at 0x7f1854568670>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 100, 'ext_tikz/test1.pdf': 100, 'images/im4_included.png': 100, 'images/im5_included.jpg': 100, 'images/im1_included.png': 100}) [/STATE] [STATE] image_size = defaultdict(. at 0x7f1854568670>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 100, 'ext_tikz/test1.pdf': 100, 'images/im4_included.png': 100, 'images/im5_included.jpg': 100, 'images/im1_included.png': 100, 'images/include/images/im3_included.png': 100}) [/STATE]\n compress_pdf=parameters['compress_pdf'],\n pdf_resolution=pdf_resolution[image_file], # [STATE] pdf_resolution = defaultdict(. at 0x7f18545688b0>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 500}) [/STATE] [STATE] pdf_resolution = defaultdict(. at 0x7f18545688b0>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 500, 'ext_tikz/test1.pdf': 500}) [/STATE] [STATE] pdf_resolution = defaultdict(. at 0x7f18545688b0>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 500, 'ext_tikz/test1.pdf': 500, 'images/im4_included.png': 500}) [/STATE] [STATE] pdf_resolution = defaultdict(. at 0x7f18545688b0>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 500, 'ext_tikz/test1.pdf': 500, 'images/im4_included.png': 500, 'images/im5_included.jpg': 500}) [/STATE] [STATE] pdf_resolution = defaultdict(. at 0x7f18545688b0>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 500, 'ext_tikz/test1.pdf': 500, 'images/im4_included.png': 500, 'images/im5_included.jpg': 500, 'images/im1_included.png': 500}) [/STATE] [STATE] pdf_resolution = defaultdict(. at 0x7f18545688b0>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 500, 'ext_tikz/test1.pdf': 500, 'images/im4_included.png': 500, 'images/im5_included.jpg': 500, 'images/im1_included.png': 500, 'images/include/images/im3_included.png': 500}) [/STATE]\n )\n\n_resize_and_copy_figures_if_referenced({'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'}, '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n\\n\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}\\n\\n\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\includegraphics{ext_tikz/test1.pdf}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', {'all': ['main.bib', 'main.bbl', 'main.tex', 'main.aux', 'ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'in_root': ['main.bib', 'main.bbl', 'main.tex', 'main.aux'], 'not_in_root': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'to_copy_in_root': ['main.bbl', 'main.tex'], 'to_copy_not_in_root': ['figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'tex_in_root': ['main.tex'], 'tex_not_in_root': ['figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], 'non_tex_in_root': ['main.bbl'], 'non_tex_not_in_root': ['figures/data_not_included.txt', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'external_tikz_figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf'], 'svg_inkscape': [], 'tex_to_copy': ['figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex']})", "loop_code": "1: def _resize_and_copy_figures_if_referenced(parameters, contents, splits):\n2: image_size = collections.defaultdict(lambda: parameters['im_size'])\n3: image_size.update(parameters['images_allowlist'])\n4: pdf_resolution = collections.defaultdict(\n5: lambda: parameters['pdf_im_resolution']\n6: )\n7: pdf_resolution.update(parameters['images_allowlist'])\n8: for image_file in _keep_only_referenced(\n9: splits['figures'], contents, strict=False\n10: ):\n11: _resize_and_copy_figure(\n12: filename=image_file,\n13: origin_folder=parameters['input_folder'],\n14: destination_folder=parameters['output_folder'],\n15: resize_image=parameters['resize_images'],\n16: image_size=image_size[image_file],\n17: compress_pdf=parameters['compress_pdf'],\n18: pdf_resolution=pdf_resolution[image_file],\n19: )\n20:\n21: _resize_and_copy_figures_if_referenced({'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'}, '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n\\n\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}\\n\\n\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\includegraphics{ext_tikz/test1.pdf}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', {'all': ['main.bib', 'main.bbl', 'main.tex', 'main.aux', 'ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'in_root': ['main.bib', 'main.bbl', 'main.tex', 'main.aux'], 'not_in_root': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'to_copy_in_root': ['main.bbl', 'main.tex'], 'to_copy_not_in_root': ['figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'tex_in_root': ['main.tex'], 'tex_not_in_root': ['figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], 'non_tex_in_root': ['main.bbl'], 'non_tex_not_in_root': ['figures/data_not_included.txt', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'external_tikz_figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf'], 'svg_inkscape': [], 'tex_to_copy': ['figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex']})", "question": "What is the value of ' image_size ' in line '16' after '1' th iteration when '_resize_and_copy_figures_if_referenced({'input_folder': 'tex', 'images_allowlist': {'images/im2_included.jpg': 200, 'images/im3_included.png': 400}, 'resize_images': True, 'im_size': 100, 'compress_pdf': False, 'pdf_im_resolution': 500, 'commands_to_delete': ['mytodo'], 'commands_only_to_delete': ['red'], 'environments_to_delete': ['mynote'], 'use_external_tikz': 'ext_tikz', 'keep_bib': False, 'to_delete': ['\\\\.aux$', '\\\\.sh$', '\\\\.blg$', '\\\\.brf$', '\\\\.log$', '\\\\.out$', '\\\\.ps$', '\\\\.dvi$', '\\\\.synctex.gz$', '~$', '\\\\.backup$', '\\\\.gitignore$', '\\\\.DS_Store$', '\\\\.svg$', '^\\\\.idea', '\\\\.dpth$', '\\\\.md5$', '\\\\.dep$', '\\\\.auxlock$', '\\\\.fls$', '\\\\.fdb_latexmk$', '\\\\.bib$'], 'figures_to_copy_if_referenced': ['\\\\.png$', '\\\\.jpg$', '\\\\.jpeg$', '\\\\.pdf$'], 'output_folder': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/google-research+arxiv-latex-cleaner/google-research+arxiv-latex-cleaner/tex_arXiv'}, '\\\\includegraphics{images/im2_included.jpg}\\n\\\\addplot{figures/data_included.txt}\\n\\n\\ufeff\\\\includegraphics{ext_tikz/test2.pdf}\\n\\n\\\\begin{document}\\nText\\n\\nText%\\n\\n\\nThis is a percent \\\\%.\\n\\\\includegraphics{images/im1_included.png}\\n\\\\includegraphics{images/im3_included.png}\\n\\\\includegraphics{%\\n images/im4_included.png%\\n }\\n\\\\includegraphics[width=.5\\\\linewidth]{%\\n images/im5_included.jpg}\\n\\n\\\\includegraphics{./images/im3_included.png}\\n\\nThis line should not be separated\\n%\\nfrom this one.\\n\\n\\n\\n\\\\newif\\\\ifvar\\n\\n\\\\ifvar\\n\\\\fi\\n\\n\\\\newcommand{\\\\red}[1]{{\\\\color{red} #1}}\\nhello test hello\\ntest hello\\ntest\\n\\n\\n\\\\input{figures/figure_included.tex}\\n\\n\\\\includegraphics{ext_tikz/test1.pdf}\\n\\n\\\\input{figures/figure_included.tikz}\\n\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test3};\\n\\\\end{tikzpicture}\\n\\n\\\\tikzsetnextfilename{test_no_match}\\n\\\\begin{tikzpicture}\\n \\\\node (test) at (0,0) {Test4};\\n\\\\end{tikzpicture}\\n\\n\\\\end{document}\\n', {'all': ['main.bib', 'main.bbl', 'main.tex', 'main.aux', 'ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'in_root': ['main.bib', 'main.bbl', 'main.tex', 'main.aux'], 'not_in_root': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'to_copy_in_root': ['main.bbl', 'main.tex'], 'to_copy_not_in_root': ['figures/data_not_included.txt', 'figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf', 'images/im4_included.png', 'images/im1.png', 'images/im4_not_included.png', 'images/im3_included.png', 'images/im2_included.jpg', 'images/im5_not_included.jpg', 'images/im5_included.jpg', 'images/im1_included.png', 'images/im_not_included.png', 'images/include/images/im3_included.png'], 'tex_in_root': ['main.tex'], 'tex_not_in_root': ['figures/figure_not_included.tex', 'figures/figure_not_included_2.tex', 'figures/figure_included.tikz', 'figures/figure_included.tex'], 'non_tex_in_root': ['main.bbl'], 'non_tex_not_in_root': ['figures/data_not_included.txt', 'figures/data_included.txt', 'not_included/figures/data_included.txt'], 'external_tikz_figures': ['ext_tikz/test2.pdf', 'ext_tikz/test1.pdf', 'ext_tikz/figure_not_included.pdf'], 'svg_inkscape': [], 'tex_to_copy': ['figures/figure_included.tex', 'figures/figure_included.tikz', 'main.tex']})' is executed?", "answer": " defaultdict(. at 0x7f1854568670>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 100}) ", "variable_assignment": " image_size = defaultdict(. at 0x7f1854568670>, {'images/im2_included.jpg': 200, 'images/im3_included.png': 400, 'ext_tikz/test2.pdf': 100}) "} +{"idx": 44, "scratchpad_format": "def apply_changes(file_path: str, changes: List, confirm: bool = False):\n \"\"\"\n Pass changes as loaded json (list of dicts)\n \"\"\"\n with open(file_path) as f: # [STATE] f = <_io.TextIOWrapper name='/tmp/tmp6qrrn_j9' mode='r' encoding='UTF-8'> [/STATE]\n original_file_lines = f.readlines() # [STATE] original_file_lines = ['first line\\n', 'second line\\n', 'third line'] [/STATE]\n\n # Filter out explanation elements\n operation_changes = [change for change in changes if \"operation\" in change] # [STATE] operation_changes = [{'operation': 'Replace', 'line': 2, 'content': 'new second line'}] [/STATE]\n explanations = [ # [STATE] explanations = [] [/STATE]\n change[\"explanation\"] for change in changes if \"explanation\" in change\n ]\n\n # Sort the changes in reverse line order\n operation_changes.sort(key=lambda x: x[\"line\"], reverse=True)\n\n file_lines = original_file_lines.copy() # [STATE] file_lines = ['first line\\n', 'second line\\n', 'third line'] [/STATE]\n for change in operation_changes: # [STATE] change = {'operation': 'Replace', 'line': 2, 'content': 'new second line'} [/STATE]\n operation = change[\"operation\"] # [STATE] operation = 'Replace' [/STATE]\n line = change[\"line\"] # [STATE] line = 2 [/STATE]\n content = change[\"content\"] # [STATE] content = 'new second line' [/STATE]\n\n if operation == \"Replace\":\n file_lines[line - 1] = content + \"\\n\" # [STATE] file_lines = ['first line\\n', 'new second line\\n', 'third line'] [/STATE]\n elif operation == \"Delete\":\n del file_lines[line - 1]\n elif operation == \"InsertAfter\":\n file_lines.insert(line, content + \"\\n\")\n\n # Print explanations\n cprint(\"Explanations:\", \"blue\")\n for explanation in explanations:\n cprint(f\"- {explanation}\", \"blue\")\n\n # Display changes diff\n print(\"\\nChanges to be made:\")\n diff = difflib.unified_diff(original_file_lines, file_lines, lineterm=\"\") # [STATE] diff = [/STATE]\n for line in diff: # [STATE] line = '--- ' [/STATE] [STATE] line = '+++ ' [/STATE] [STATE] line = '@@ -1,3 +1,3 @@' [/STATE] [STATE] line = ' first line\\n' [/STATE] [STATE] line = '-second line\\n' [/STATE] [STATE] line = '+new second line\\n' [/STATE] [STATE] line = ' third line' [/STATE]\n if line.startswith(\"+\"):\n cprint(line, \"green\", end=\"\")\n elif line.startswith(\"-\"):\n cprint(line, \"red\", end=\"\")\n else:\n print(line, end=\"\")\n\n if confirm:\n # check if user wants to apply changes or exit\n confirmation = input(\"Do you want to apply these changes? (y/n): \")\n if confirmation.lower() != \"y\":\n print(\"Changes not applied\")\n sys.exit(0)\n\n with open(file_path, \"w\") as f: # [STATE] f = <_io.TextIOWrapper name='/tmp/tmp6qrrn_j9' mode='w' encoding='UTF-8'> [/STATE]\n f.writelines(file_lines)\n print(\"Changes applied.\")\n\napply_changes('/tmp/tmp6qrrn_j9', [{'operation': 'Replace', 'line': 2, 'content': 'new second line'}], False)", "loop_code": "1: def apply_changes(file_path: str, changes: List, confirm: bool = False):\n2: \"\"\"\n3: Pass changes as loaded json (list of dicts)\n4: \"\"\"\n5: with open(file_path) as f:\n6: original_file_lines = f.readlines()\n7:\n8: # Filter out explanation elements\n9: operation_changes = [change for change in changes if \"operation\" in change]\n10: explanations = [\n11: change[\"explanation\"] for change in changes if \"explanation\" in change\n12: ]\n13:\n14: # Sort the changes in reverse line order\n15: operation_changes.sort(key=lambda x: x[\"line\"], reverse=True)\n16:\n17: file_lines = original_file_lines.copy()\n18: for change in operation_changes:\n19: operation = change[\"operation\"]\n20: line = change[\"line\"]\n21: content = change[\"content\"]\n22:\n23: if operation == \"Replace\":\n24: file_lines[line - 1] = content + \"\\n\"\n25: elif operation == \"Delete\":\n26: del file_lines[line - 1]\n27: elif operation == \"InsertAfter\":\n28: file_lines.insert(line, content + \"\\n\")\n29:\n30: # Print explanations\n31: cprint(\"Explanations:\", \"blue\")\n32: for explanation in explanations:\n33: cprint(f\"- {explanation}\", \"blue\")\n34:\n35: # Display changes diff\n36: print(\"\\nChanges to be made:\")\n37: diff = difflib.unified_diff(original_file_lines, file_lines, lineterm=\"\")\n38: for line in diff:\n39: if line.startswith(\"+\"):\n40: cprint(line, \"green\", end=\"\")\n41: elif line.startswith(\"-\"):\n42: cprint(line, \"red\", end=\"\")\n43: else:\n44: print(line, end=\"\")\n45:\n46: if confirm:\n47: # check if user wants to apply changes or exit\n48: confirmation = input(\"Do you want to apply these changes? (y/n): \")\n49: if confirmation.lower() != \"y\":\n50: print(\"Changes not applied\")\n51: sys.exit(0)\n52:\n53: with open(file_path, \"w\") as f:\n54: f.writelines(file_lines)\n55: print(\"Changes applied.\")\n56:\n57: apply_changes('/tmp/tmp6qrrn_j9', [{'operation': 'Replace', 'line': 2, 'content': 'new second line'}], False)", "question": "What is the value of ' operation ' in line '19' after '1' th iteration when 'apply_changes('/tmp/tmp6qrrn_j9', [{'operation': 'Replace', 'line': 2, 'content': 'new second line'}], False)' is executed?", "answer": " 'Replace' ", "variable_assignment": " operation = 'Replace' "} +{"idx": 45, "scratchpad_format": "def collect_file_tests(path, lines, lines_to_execute):\n def makecase(t): # [STATE] makecase = .makecase at 0x7f586017dee0> [/STATE]\n return IntegrationTestCase(t, correct, line_nr, column,\n start, line, path=path,\n skip_version_info=skip_version_info)\n\n start = None # [STATE] start = None [/STATE]\n correct = None # [STATE] correct = None [/STATE]\n test_type = None # [STATE] test_type = None [/STATE]\n skip_version_info = None # [STATE] skip_version_info = None [/STATE]\n for line_nr, line in enumerate(lines, 1): # [STATE] line = '# Exists only for completion/pytest.py\\n' [/STATE] [STATE] line_nr = 1 [/STATE] [STATE] line = 'import pytest\\n' [/STATE] [STATE] line_nr = 2 [/STATE] [STATE] line = '\\n' [/STATE] [STATE] line_nr = 3 [/STATE] [STATE] line = '@pytest.fixture\\n' [/STATE] [STATE] line_nr = 4 [/STATE] [STATE] line = 'def my_module_fixture():\\n' [/STATE] [STATE] line_nr = 5 [/STATE] [STATE] line = ' return 1.0\\n' [/STATE] [STATE] line_nr = 6 [/STATE]\n if correct is not None:\n r = re.match(r'^(\\d+)\\s*(.*)$', correct)\n if r:\n column = int(r.group(1))\n correct = r.group(2)\n start += r.regs[2][0] # second group, start index\n else:\n column = len(line) - 1 # -1 for the \\n\n if test_type == '!':\n yield makecase(TEST_GOTO)\n elif test_type == '<':\n yield makecase(TEST_REFERENCES)\n elif correct.startswith('['):\n yield makecase(TEST_COMPLETIONS)\n else:\n yield makecase(TEST_INFERENCE)\n correct = None\n else:\n skip_version_info = skip_python_version(line) or skip_version_info\n try:\n r = re.search(r'(?:^|(?<=\\s))#([?!<])\\s*([^\\n]*)', line) # [STATE] r = None [/STATE]\n # test_type is ? for completion and ! for goto\n test_type = r.group(1) # [STATE] E [/STATE] [STATE] X [/STATE] [STATE] C [/STATE] [STATE] E [/STATE] [STATE] P [/STATE] [STATE] T [/STATE] [STATE] I [/STATE] [STATE] O [/STATE] [STATE] N [/STATE] [STATE] : [/STATE] [STATE] [/STATE] [STATE] A [/STATE] [STATE] t [/STATE] [STATE] t [/STATE] [STATE] r [/STATE] [STATE] i [/STATE] [STATE] b [/STATE] [STATE] u [/STATE] [STATE] t [/STATE] [STATE] e [/STATE] [STATE] E [/STATE]\n correct = r.group(2)\n # Quick hack to make everything work (not quite a bloody unicorn hack though).\n if correct == '':\n correct = ' '\n start = r.start()\n except AttributeError:\n correct = None\n else:\n # Skip the test, if this is not specified test.\n for l in lines_to_execute:\n if isinstance(l, tuple) and l[0] <= line_nr <= l[1] \\\n or line_nr == l:\n break\n else:\n if lines_to_execute:\n correct = None\n\ncollect_file_tests('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/test/completion/fixture_module.py', {}, [])", "loop_code": "1: def collect_file_tests(path, lines, lines_to_execute):\n2: def makecase(t):\n3: return IntegrationTestCase(t, correct, line_nr, column,\n4: start, line, path=path,\n5: skip_version_info=skip_version_info)\n6:\n7: start = None\n8: correct = None\n9: test_type = None\n10: skip_version_info = None\n11: for line_nr, line in enumerate(lines, 1):\n12: if correct is not None:\n13: r = re.match(r'^(\\d+)\\s*(.*)$', correct)\n14: if r:\n15: column = int(r.group(1))\n16: correct = r.group(2)\n17: start += r.regs[2][0] # second group, start index\n18: else:\n19: column = len(line) - 1 # -1 for the \\n\n20: if test_type == '!':\n21: yield makecase(TEST_GOTO)\n22: elif test_type == '<':\n23: yield makecase(TEST_REFERENCES)\n24: elif correct.startswith('['):\n25: yield makecase(TEST_COMPLETIONS)\n26: else:\n27: yield makecase(TEST_INFERENCE)\n28: correct = None\n29: else:\n30: skip_version_info = skip_python_version(line) or skip_version_info\n31: try:\n32: r = re.search(r'(?:^|(?<=\\s))#([?!<])\\s*([^\\n]*)', line)\n33: # test_type is ? for completion and ! for goto\n34: test_type = r.group(1)\n35: correct = r.group(2)\n36: # Quick hack to make everything work (not quite a bloody unicorn hack though).\n37: if correct == '':\n38: correct = ' '\n39: start = r.start()\n40: except AttributeError:\n41: correct = None\n42: else:\n43: # Skip the test, if this is not specified test.\n44: for l in lines_to_execute:\n45: if isinstance(l, tuple) and l[0] <= line_nr <= l[1] \\\n46: or line_nr == l:\n47: break\n48: else:\n49: if lines_to_execute:\n50: correct = None\n51:\n52: collect_file_tests('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/test/completion/fixture_module.py', {}, [])", "question": "What is the value of ' r ' in line '32' after '1' th iteration when 'collect_file_tests('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/davidhalter+jedi/davidhalter+jedi/test/completion/fixture_module.py', {}, [])' is executed?", "answer": " None ", "variable_assignment": " r = None "} +{"idx": 46, "scratchpad_format": "def parse_layout(layout_str):\n \"\"\"Parse a layout string\n\n Return a dict\n {'walls': list_of_wall_coordinates,\n 'food' : list_of_food_coordinates,\n 'bot' : list_of_4_bot_coordinate}\n\n A layout string is composed of wall characters '#', food characters '.', and\n bot characters '0', '1', '2', and '3'.\n\n Valid layouts must be enclosed by walls and be of rectangular shape. Example:\n\n ########\n #0 . #\n #2 1#\n # . 3#\n ########\n\n\n If items are overlapping, several layout strings can be concateneted:\n ########\n #0 . #\n # 1#\n # . 3#\n ########\n ########\n #2 . #\n # 1#\n # . 3#\n ########\n\n In this case, bot '0' and bot '2' are on top of each other at position (1,1)\n \"\"\"\n layout_list = [] # [STATE] layout_list = [] [/STATE]\n start = False # [STATE] start = False [/STATE]\n for i, line in enumerate(layout_str.splitlines()): # [STATE] i = 0 [/STATE] [STATE] line = '' [/STATE] [STATE] i = 1 [/STATE] [STATE] line = ' ##################' [/STATE] [STATE] i = 2 [/STATE] [STATE] line = ' #. ... .##. 3#' [/STATE] [STATE] i = 3 [/STATE] [STATE] line = ' # # # . .### #1#' [/STATE] [STATE] i = 4 [/STATE] [STATE] line = ' # # ##. . #' [/STATE] [STATE] i = 5 [/STATE] [STATE] line = ' # . .## # #' [/STATE] [STATE] i = 6 [/STATE] [STATE] line = ' #0# ###. . # # #' [/STATE] [STATE] i = 7 [/STATE] [STATE] line = ' #2 .##. ... .#' [/STATE] [STATE] i = 8 [/STATE] [STATE] line = ' ################## ' [/STATE]\n row = line.strip() # [STATE] row = '' [/STATE] [STATE] row = '##################' [/STATE] [STATE] row = '#. ... .##. 3#' [/STATE] [STATE] row = '# # # . .### #1#' [/STATE] [STATE] row = '# # ##. . #' [/STATE] [STATE] row = '# . .## # #' [/STATE] [STATE] row = '#0# ###. . # # #' [/STATE] [STATE] row = '#2 .##. ... .#' [/STATE]\n if not row:\n # ignore emptylines\n continue\n if not start:\n # start a new layout\n # check that row is a valid opening string\n if row.count('#') != len(row):\n raise ValueError(f\"Layout does not start with a row of walls (line: {i})!\")\n current_layout = [row] # [STATE] current_layout = ['##################'] [/STATE]\n start = True # [STATE] start = True [/STATE]\n continue\n # we are in the middle of a layout, just append to the current\n # layout unless we detect the closing string\n current_layout.append(row) # [STATE] current_layout = ['##################', '#. ... .##. 3#'] [/STATE] [STATE] current_layout = ['##################', '#. ... .##. 3#', '# # # . .### #1#'] [/STATE] [STATE] current_layout = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #'] [/STATE] [STATE] current_layout = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #', '# . .## # #'] [/STATE] [STATE] current_layout = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #', '# . .## # #', '#0# ###. . # # #'] [/STATE] [STATE] current_layout = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #', '# . .## # #', '#0# ###. . # # #', '#2 .##. ... .#'] [/STATE] [STATE] current_layout = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #', '# . .## # #', '#0# ###. . # # #', '#2 .##. ... .#', '##################'] [/STATE]\n if row.count('#') == len(row):\n # this is a closing string\n # append the layout to tha layout list\n layout_list.append('\\n'.join(current_layout)) # [STATE] layout_list = ['##################\\n#. ... .##. 3#\\n# # # . .### #1#\\n# # ##. . #\\n# . .## # #\\n#0# ###. . # # #\\n#2 .##. ... .#\\n##################'] [/STATE]\n start = False # [STATE] start = False [/STATE]\n\n if start:\n # the last layout has not been closed, complain here!\n raise ValueError(f\"Layout does not end with a row of walls (line: {i})!\")\n\n # initialize walls, food and bots from the first layout\n out = parse_single_layout(layout_list.pop(0)) # [STATE] out = {'walls': [(0, 0), (0, 1), (0, 2), (0, 3), (0, 4), (0, 5), (0, 6), (0, 7), (1, 0), (1, 7), (2, 0), (2, 2), (2, 3), (2, 5), (2, 7), (3, 0), (3, 7), (4, 0), (4, 2), (4, 3), (4, 5), (4, 7), (5, 0), (5, 3), (5, 5), (5, 7), (6, 0), (6, 5), (6, 7), (7, 0), (7, 7), (8, 0), (8, 1), (8, 6), (8, 7), (9, 0), (9, 1), (9, 6), (9, 7), (10, 0), (10, 7), (11, 0), (11, 2), (11, 7), (12, 0), (12, 2), (12, 4), (12, 7), (13, 0), (13, 2), (13, 4), (13, 5), (13, 7), (14, 0), (14, 7), (15, 0), (15, 2), (15, 4), (15, 5), (15, 7), (16, 0), (16, 7), (17, 0), (17, 1), (17, 2), (17, 3), (17, 4), (17, 5), (17, 6), (17, 7)], 'food': [(1, 1), (3, 1), (4, 1), (5, 1), (6, 3), (7, 1), (7, 2), (7, 4), (7, 5), (7, 6), (10, 1), (10, 2), (10, 3), (10, 5), (10, 6), (11, 4), (12, 6), (13, 6), (14, 6), (16, 6)], 'bots': [(1, 5), (16, 2), (1, 6), (16, 1)]} [/STATE] # [STATE] layout_list = [] [/STATE]\n for layout in layout_list:\n items = parse_layout(layout)\n # walls should always be the same\n if items['walls'] != out['walls']:\n raise ValueError('Walls are not equal in all layouts!')\n # add the food, removing duplicates\n out['food'] = list(set(out['food'] + items['food']))\n # add the bots\n for bot_idx, bot_pos in enumerate(items['bots']):\n if bot_pos:\n # this bot position is not None, overwrite whatever we had before\n out['bots'][bot_idx] = bot_pos\n\n return out\n\nparse_layout('\\n ##################\\n #. ... .##. 3#\\n # # # . .### #1#\\n # # ##. . #\\n # . .## # #\\n #0# ###. . # # #\\n #2 .##. ... .#\\n ################## ')", "loop_code": "1: def parse_layout(layout_str):\n2: \"\"\"Parse a layout string\n3:\n4: Return a dict\n5: {'walls': list_of_wall_coordinates,\n6: 'food' : list_of_food_coordinates,\n7: 'bot' : list_of_4_bot_coordinate}\n8:\n9: A layout string is composed of wall characters '#', food characters '.', and\n10: bot characters '0', '1', '2', and '3'.\n11:\n12: Valid layouts must be enclosed by walls and be of rectangular shape. Example:\n13:\n14: ########\n15: #0 . #\n16: #2 1#\n17: # . 3#\n18: ########\n19:\n20:\n21: If items are overlapping, several layout strings can be concateneted:\n22: ########\n23: #0 . #\n24: # 1#\n25: # . 3#\n26: ########\n27: ########\n28: #2 . #\n29: # 1#\n30: # . 3#\n31: ########\n32:\n33: In this case, bot '0' and bot '2' are on top of each other at position (1,1)\n34: \"\"\"\n35: layout_list = []\n36: start = False\n37: for i, line in enumerate(layout_str.splitlines()):\n38: row = line.strip()\n39: if not row:\n40: # ignore emptylines\n41: continue\n42: if not start:\n43: # start a new layout\n44: # check that row is a valid opening string\n45: if row.count('#') != len(row):\n46: raise ValueError(f\"Layout does not start with a row of walls (line: {i})!\")\n47: current_layout = [row]\n48: start = True\n49: continue\n50: # we are in the middle of a layout, just append to the current\n51: # layout unless we detect the closing string\n52: current_layout.append(row)\n53: if row.count('#') == len(row):\n54: # this is a closing string\n55: # append the layout to tha layout list\n56: layout_list.append('\\n'.join(current_layout))\n57: start = False\n58:\n59: if start:\n60: # the last layout has not been closed, complain here!\n61: raise ValueError(f\"Layout does not end with a row of walls (line: {i})!\")\n62:\n63: # initialize walls, food and bots from the first layout\n64: out = parse_single_layout(layout_list.pop(0))\n65: for layout in layout_list:\n66: items = parse_layout(layout)\n67: # walls should always be the same\n68: if items['walls'] != out['walls']:\n69: raise ValueError('Walls are not equal in all layouts!')\n70: # add the food, removing duplicates\n71: out['food'] = list(set(out['food'] + items['food']))\n72: # add the bots\n73: for bot_idx, bot_pos in enumerate(items['bots']):\n74: if bot_pos:\n75: # this bot position is not None, overwrite whatever we had before\n76: out['bots'][bot_idx] = bot_pos\n77:\n78: return out\n79:\n80: parse_layout('\\n ##################\\n #. ... .##. 3#\\n # # # . .### #1#\\n # # ##. . #\\n # . .## # #\\n #0# ###. . # # #\\n #2 .##. ... .#\\n ################## ')", "question": "What is the value of ' row ' in line '38' after '6' th iteration when 'parse_layout('\\n ##################\\n #. ... .##. 3#\\n # # # . .### #1#\\n # # ##. . #\\n # . .## # #\\n #0# ###. . # # #\\n #2 .##. ... .#\\n ################## ')' is executed?", "answer": " '# . .## # #' ", "variable_assignment": " row = '# . .## # #' "} +{"idx": 47, "scratchpad_format": "def parse_single_layout(layout_str):\n \"\"\"Parse a single layout from a string\n\n See parse_layout for details about valid layout strings.\n \"\"\"\n # width of the layout (x-axis)\n width = None # [STATE] width = None [/STATE]\n # list of layout rows\n rows = [] # [STATE] rows = [] [/STATE]\n start = False # [STATE] start = False [/STATE]\n for i, line in enumerate(layout_str.splitlines()): # [STATE] i = 0 [/STATE] [STATE] line = '##################' [/STATE] [STATE] i = 1 [/STATE] [STATE] line = '#. ... .##. 3#' [/STATE] [STATE] i = 2 [/STATE] [STATE] line = '# # # . .### #1#' [/STATE] [STATE] i = 3 [/STATE] [STATE] line = '# # ##. . #' [/STATE] [STATE] i = 4 [/STATE] [STATE] line = '# . .## # #' [/STATE] [STATE] i = 5 [/STATE] [STATE] line = '#0# ###. . # # #' [/STATE] [STATE] i = 6 [/STATE] [STATE] line = '#2 .##. ... .#' [/STATE] [STATE] i = 7 [/STATE]\n row = line.strip() # [STATE] row = '##################' [/STATE] [STATE] row = '#. ... .##. 3#' [/STATE] [STATE] row = '# # # . .### #1#' [/STATE] [STATE] row = '# # ##. . #' [/STATE] [STATE] row = '# . .## # #' [/STATE] [STATE] row = '#0# ###. . # # #' [/STATE] [STATE] row = '#2 .##. ... .#' [/STATE]\n if not row:\n # always ignore empty lines\n continue\n # a layout is always started by a full row of walls\n if not start:\n if row.count('#') != len(row):\n raise ValueError(f\"Layout must be enclosed by walls (line: {i})!\")\n else:\n # start the layout parsing\n start = True # [STATE] start = True [/STATE]\n # set width of layout\n width = len(row) # [STATE] width = 18 [/STATE]\n # check that width is even\n if width % 2:\n raise ValueError(f\"Layout width must be even (found {width})!\")\n rows.append(row) # [STATE] rows = ['##################'] [/STATE]\n continue\n # Here we are within the layout\n # every row must have the same length\n if len(row) != width:\n raise ValueError(f\"Layout rows have differing widths (line: {i})!\")\n # rows are always enclosed by walls\n if row[0] != '#' or row[-1] != '#':\n raise ValueError(f\"Layout must be enclosed by walls (line:{i})!\")\n # append current row to the list of rows\n rows.append(row) # [STATE] rows = ['##################', '#. ... .##. 3#'] [/STATE] [STATE] rows = ['##################', '#. ... .##. 3#', '# # # . .### #1#'] [/STATE] [STATE] rows = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #'] [/STATE] [STATE] rows = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #', '# . .## # #'] [/STATE] [STATE] rows = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #', '# . .## # #', '#0# ###. . # # #'] [/STATE] [STATE] rows = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #', '# . .## # #', '#0# ###. . # # #', '#2 .##. ... .#'] [/STATE] [STATE] rows = ['##################', '#. ... .##. 3#', '# # # . .### #1#', '# # ##. . #', '# . .## # #', '#0# ###. . # # #', '#2 .##. ... .#', '##################'] [/STATE]\n # detect closing row and ignore whatever follows\n if row.count('#') == len(row):\n start = False # [STATE] start = False [/STATE]\n break\n\n if start:\n # layout has not been closed!\n raise ValueError(f\"Layout must be enclosed by walls (line:{i})!\")\n\n # height of the layout (y-axis)\n height = len(rows) # [STATE] height = 8 [/STATE]\n walls = [] # [STATE] walls = [] [/STATE]\n food = [] # [STATE] food = [] [/STATE]\n # bot positions (we assume 4 bots)\n bots = [None]*4 # [STATE] bots = [None, None, None, None] [/STATE]\n\n # iterate through the grid of characters\n for y, row in enumerate(rows): # [STATE] y = 0 [/STATE] [STATE] row = '#. ... .##. 3#' [/STATE] [STATE] y = 1 [/STATE] [STATE] row = '# # # . .### #1#' [/STATE] [STATE] y = 2 [/STATE] [STATE] row = '# # ##. . #' [/STATE] [STATE] y = 3 [/STATE] [STATE] row = '# . .## # #' [/STATE] [STATE] y = 4 [/STATE] [STATE] row = '#0# ###. . # # #' [/STATE] [STATE] y = 5 [/STATE] [STATE] row = '#2 .##. ... .#' [/STATE] [STATE] y = 6 [/STATE] [STATE] row = '##################' [/STATE] [STATE] y = 7 [/STATE]\n for x, char in enumerate(row): # [STATE] x = 0 [/STATE] [STATE] char = '#' [/STATE] [STATE] x = 1 [/STATE] [STATE] x = 2 [/STATE] [STATE] x = 3 [/STATE] [STATE] x = 4 [/STATE] [STATE] x = 5 [/STATE] [STATE] x = 6 [/STATE] [STATE] x = 7 [/STATE] [STATE] x = 8 [/STATE] [STATE] x = 9 [/STATE] [STATE] x = 10 [/STATE] [STATE] x = 11 [/STATE] [STATE] x = 12 [/STATE] [STATE] x = 13 [/STATE] [STATE] x = 14 [/STATE] [STATE] x = 15 [/STATE] [STATE] x = 16 [/STATE] [STATE] x = 17 [/STATE] [STATE] char = '.' [/STATE] [STATE] char = ' ' [/STATE]\n coord = (x, y) # [STATE] coord = (0, 0) [/STATE] [STATE] coord = (1, 0) [/STATE] [STATE] coord = (2, 0) [/STATE] [STATE] coord = (3, 0) [/STATE] [STATE] coord = (4, 0) [/STATE] [STATE] coord = (5, 0) [/STATE] [STATE] coord = (6, 0) [/STATE] [STATE] coord = (7, 0) [/STATE] [STATE] coord = (8, 0) [/STATE] [STATE] coord = (9, 0) [/STATE] [STATE] coord = (10, 0) [/STATE] [STATE] coord = (11, 0) [/STATE] [STATE] coord = (12, 0) [/STATE] [STATE] coord = (13, 0) [/STATE] [STATE] coord = (14, 0) [/STATE] [STATE] coord = (15, 0) [/STATE] [STATE] coord = (16, 0) [/STATE] [STATE] coord = (17, 0) [/STATE] [STATE] coord = (0, 1) [/STATE] [STATE] coord = (1, 1) [/STATE] [STATE] coord = (2, 1) [/STATE]\n # assign the char to the corresponding list\n if char == '#':\n # wall\n walls.append(coord) # [STATE] walls = [(0, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0), (13, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0), (13, 0), (14, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0), (13, 0), (14, 0), (15, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0), (13, 0), (14, 0), (15, 0), (16, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0), (13, 0), (14, 0), (15, 0), (16, 0), (17, 0)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0), (13, 0), (14, 0), (15, 0), (16, 0), (17, 0), (0, 1)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0), (13, 0), (14, 0), (15, 0), (16, 0), (17, 0), (0, 1), (8, 1)] [/STATE] [STATE] walls = [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (5, 0), (6, 0), (7, 0), (8, 0), (9, 0), (10, 0), (11, 0), (12, 0), (13, 0), (14, 0), (15, 0), (16, 0), (17, 0), (0, 1), (8, 1), (9, 1)] [/STATE]\n elif char == '.':\n # food\n food.append(coord) # [STATE] food = [(1, 1)] [/STATE] [STATE] food = [(1, 1), (3, 1)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4), (11, 4)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4), (11, 4), (7, 5)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4), (11, 4), (7, 5), (10, 5)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4), (11, 4), (7, 5), (10, 5), (7, 6)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4), (11, 4), (7, 5), (10, 5), (7, 6), (10, 6)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4), (11, 4), (7, 5), (10, 5), (7, 6), (10, 6), (12, 6)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4), (11, 4), (7, 5), (10, 5), (7, 6), (10, 6), (12, 6), (13, 6)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4), (11, 4), (7, 5), (10, 5), (7, 6), (10, 6), (12, 6), (13, 6), (14, 6)] [/STATE] [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (7, 1), (10, 1), (7, 2), (10, 2), (6, 3), (10, 3), (7, 4), (11, 4), (7, 5), (10, 5), (7, 6), (10, 6), (12, 6), (13, 6), (14, 6), (16, 6)] [/STATE]\n elif char == ' ':\n # empty\n continue\n else:\n # bot\n try:\n # we expect an 0<=index<=3\n bot_idx = int(char) # [STATE] bot_idx = 3 [/STATE] [STATE] bot_idx = 1 [/STATE] [STATE] bot_idx = 0 [/STATE] [STATE] bot_idx = 2 [/STATE]\n if bot_idx >= len(bots):\n # reuse the except below\n raise ValueError\n except ValueError:\n raise ValueError(f\"Unknown character {char} in maze!\")\n bots[bot_idx] = coord # [STATE] bots = [None, None, None, (16, 1)] [/STATE] [STATE] bots = [None, (16, 2), None, (16, 1)] [/STATE] [STATE] bots = [(1, 5), (16, 2), None, (16, 1)] [/STATE] [STATE] bots = [(1, 5), (16, 2), (1, 6), (16, 1)] [/STATE]\n walls.sort() # [STATE] walls = [(0, 0), (0, 1), (0, 2), (0, 3), (0, 4), (0, 5), (0, 6), (0, 7), (1, 0), (1, 7), (2, 0), (2, 2), (2, 3), (2, 5), (2, 7), (3, 0), (3, 7), (4, 0), (4, 2), (4, 3), (4, 5), (4, 7), (5, 0), (5, 3), (5, 5), (5, 7), (6, 0), (6, 5), (6, 7), (7, 0), (7, 7), (8, 0), (8, 1), (8, 6), (8, 7), (9, 0), (9, 1), (9, 6), (9, 7), (10, 0), (10, 7), (11, 0), (11, 2), (11, 7), (12, 0), (12, 2), (12, 4), (12, 7), (13, 0), (13, 2), (13, 4), (13, 5), (13, 7), (14, 0), (14, 7), (15, 0), (15, 2), (15, 4), (15, 5), (15, 7), (16, 0), (16, 7), (17, 0), (17, 1), (17, 2), (17, 3), (17, 4), (17, 5), (17, 6), (17, 7)] [/STATE]\n food.sort() # [STATE] food = [(1, 1), (3, 1), (4, 1), (5, 1), (6, 3), (7, 1), (7, 2), (7, 4), (7, 5), (7, 6), (10, 1), (10, 2), (10, 3), (10, 5), (10, 6), (11, 4), (12, 6), (13, 6), (14, 6), (16, 6)] [/STATE]\n return {'walls':walls, 'food':food, 'bots':bots}\n\nparse_single_layout('##################\\n#. ... .##. 3#\\n# # # . .### #1#\\n# # ##. . #\\n# . .## # #\\n#0# ###. . # # #\\n#2 .##. ... .#\\n##################')", "loop_code": "1: def parse_single_layout(layout_str):\n2: \"\"\"Parse a single layout from a string\n3:\n4: See parse_layout for details about valid layout strings.\n5: \"\"\"\n6: # width of the layout (x-axis)\n7: width = None\n8: # list of layout rows\n9: rows = []\n10: start = False\n11: for i, line in enumerate(layout_str.splitlines()):\n12: row = line.strip()\n13: if not row:\n14: # always ignore empty lines\n15: continue\n16: # a layout is always started by a full row of walls\n17: if not start:\n18: if row.count('#') != len(row):\n19: raise ValueError(f\"Layout must be enclosed by walls (line: {i})!\")\n20: else:\n21: # start the layout parsing\n22: start = True\n23: # set width of layout\n24: width = len(row)\n25: # check that width is even\n26: if width % 2:\n27: raise ValueError(f\"Layout width must be even (found {width})!\")\n28: rows.append(row)\n29: continue\n30: # Here we are within the layout\n31: # every row must have the same length\n32: if len(row) != width:\n33: raise ValueError(f\"Layout rows have differing widths (line: {i})!\")\n34: # rows are always enclosed by walls\n35: if row[0] != '#' or row[-1] != '#':\n36: raise ValueError(f\"Layout must be enclosed by walls (line:{i})!\")\n37: # append current row to the list of rows\n38: rows.append(row)\n39: # detect closing row and ignore whatever follows\n40: if row.count('#') == len(row):\n41: start = False\n42: break\n43:\n44: if start:\n45: # layout has not been closed!\n46: raise ValueError(f\"Layout must be enclosed by walls (line:{i})!\")\n47:\n48: # height of the layout (y-axis)\n49: height = len(rows)\n50: walls = []\n51: food = []\n52: # bot positions (we assume 4 bots)\n53: bots = [None]*4\n54:\n55: # iterate through the grid of characters\n56: for y, row in enumerate(rows):\n57: for x, char in enumerate(row):\n58: coord = (x, y)\n59: # assign the char to the corresponding list\n60: if char == '#':\n61: # wall\n62: walls.append(coord)\n63: elif char == '.':\n64: # food\n65: food.append(coord)\n66: elif char == ' ':\n67: # empty\n68: continue\n69: else:\n70: # bot\n71: try:\n72: # we expect an 0<=index<=3\n73: bot_idx = int(char)\n74: if bot_idx >= len(bots):\n75: # reuse the except below\n76: raise ValueError\n77: except ValueError:\n78: raise ValueError(f\"Unknown character {char} in maze!\")\n79: bots[bot_idx] = coord\n80: walls.sort()\n81: food.sort()\n82: return {'walls':walls, 'food':food, 'bots':bots}\n83:\n84: parse_single_layout('##################\\n#. ... .##. 3#\\n# # # . .### #1#\\n# # ##. . #\\n# . .## # #\\n#0# ###. . # # #\\n#2 .##. ... .#\\n##################')", "question": "What is the value of ' row ' in line '12' after '3' th iteration when 'parse_single_layout('##################\\n#. ... .##. 3#\\n# # # . .### #1#\\n# # ##. . #\\n# . .## # #\\n#0# ###. . # # #\\n#2 .##. ... .#\\n##################')' is executed?", "answer": " '# # # . .### #1#' ", "variable_assignment": " row = '# # # . .### #1#' "} +{"idx": 48, "scratchpad_format": "def initial_positions(walls):\n \"\"\"Calculate initial positions.\n\n Given the list of walls, returns the free positions that are closest to the\n bottom left and top right corner. The algorithm starts searching from\n (1, height-2) and (width-2, 1) respectively and uses the Manhattan distance\n for judging what is closest. On equal distances, a smaller distance in the\n x value is preferred.\n \"\"\"\n width = max(walls)[0] + 1 # [STATE] width = 8 [/STATE]\n height = max(walls)[1] + 1 # [STATE] height = 4 [/STATE]\n\n left_start = (1, height - 2) # [STATE] left_start = (1, 2) [/STATE]\n left = [] # [STATE] left = [] [/STATE]\n right_start = (width - 2, 1) # [STATE] right_start = (6, 1) [/STATE]\n right = [] # [STATE] right = [] [/STATE]\n\n dist = 0 # [STATE] dist = 0 [/STATE]\n while len(left) < 2:\n # iterate through all possible x distances (inclusive)\n for x_dist in range(dist + 1): # [STATE] x_dist = 0 [/STATE]\n y_dist = dist - x_dist # [STATE] y_dist = 0 [/STATE] [STATE] y_dist = 1 [/STATE]\n pos = (left_start[0] + x_dist, left_start[1] - y_dist) # [STATE] pos = (1, 2) [/STATE] [STATE] pos = (1, 1) [/STATE]\n # if both coordinates are out of bounds, we stop\n if not (0 <= pos[0] < width) and not (0 <= pos[1] < height):\n raise ValueError(\"Not enough free initial positions.\")\n # if one coordinate is out of bounds, we just continue\n if not (0 <= pos[0] < width) or not (0 <= pos[1] < height):\n continue\n # check if the new value is free\n if pos not in walls:\n left.append(pos) # [STATE] left = [(1, 2)] [/STATE] [STATE] left = [(1, 2), (1, 1)] [/STATE]\n\n if len(left) == 2:\n break\n\n dist += 1 # [STATE] dist = 1 [/STATE] [STATE] dist = 2 [/STATE]\n\n dist = 0 # [STATE] dist = 0 [/STATE]\n while len(right) < 2:\n # iterate through all possible x distances (inclusive)\n for x_dist in range(dist + 1):\n y_dist = dist - x_dist # [STATE] y_dist = 0 [/STATE] [STATE] y_dist = 1 [/STATE]\n pos = (right_start[0] - x_dist, right_start[1] + y_dist) # [STATE] pos = (6, 1) [/STATE] [STATE] pos = (6, 2) [/STATE]\n # if both coordinates are out of bounds, we stop\n if not (0 <= pos[0] < width) and not (0 <= pos[1] < height):\n raise ValueError(\"Not enough free initial positions.\")\n # if one coordinate is out of bounds, we just continue\n if not (0 <= pos[0] < width) or not (0 <= pos[1] < height):\n continue\n # check if the new value is free\n if pos not in walls:\n right.append(pos) # [STATE] right = [(6, 1)] [/STATE] [STATE] right = [(6, 1), (6, 2)] [/STATE]\n\n if len(right) == 2:\n break\n\n dist += 1 # [STATE] dist = 1 [/STATE] [STATE] dist = 2 [/STATE]\n\n # lower indices start further away\n left.reverse() # [STATE] left = [(1, 1), (1, 2)] [/STATE]\n right.reverse() # [STATE] right = [(6, 2), (6, 1)] [/STATE]\n return [left[0], right[0], left[1], right[1]]\n\ninitial_positions([(0, 0), (0, 1), (0, 2), (0, 3), (1, 0), (1, 3), (2, 0), (2, 1), (2, 3), (3, 0), (3, 1), (3, 3), (4, 0), (4, 1), (4, 3), (5, 0), (5, 3), (6, 0), (6, 3), (7, 0), (7, 1), (7, 2), (7, 3)])", "loop_code": "1: def initial_positions(walls):\n2: \"\"\"Calculate initial positions.\n3:\n4: Given the list of walls, returns the free positions that are closest to the\n5: bottom left and top right corner. The algorithm starts searching from\n6: (1, height-2) and (width-2, 1) respectively and uses the Manhattan distance\n7: for judging what is closest. On equal distances, a smaller distance in the\n8: x value is preferred.\n9: \"\"\"\n10: width = max(walls)[0] + 1\n11: height = max(walls)[1] + 1\n12:\n13: left_start = (1, height - 2)\n14: left = []\n15: right_start = (width - 2, 1)\n16: right = []\n17:\n18: dist = 0\n19: while len(left) < 2:\n20: # iterate through all possible x distances (inclusive)\n21: for x_dist in range(dist + 1):\n22: y_dist = dist - x_dist\n23: pos = (left_start[0] + x_dist, left_start[1] - y_dist)\n24: # if both coordinates are out of bounds, we stop\n25: if not (0 <= pos[0] < width) and not (0 <= pos[1] < height):\n26: raise ValueError(\"Not enough free initial positions.\")\n27: # if one coordinate is out of bounds, we just continue\n28: if not (0 <= pos[0] < width) or not (0 <= pos[1] < height):\n29: continue\n30: # check if the new value is free\n31: if pos not in walls:\n32: left.append(pos)\n33:\n34: if len(left) == 2:\n35: break\n36:\n37: dist += 1\n38:\n39: dist = 0\n40: while len(right) < 2:\n41: # iterate through all possible x distances (inclusive)\n42: for x_dist in range(dist + 1):\n43: y_dist = dist - x_dist\n44: pos = (right_start[0] - x_dist, right_start[1] + y_dist)\n45: # if both coordinates are out of bounds, we stop\n46: if not (0 <= pos[0] < width) and not (0 <= pos[1] < height):\n47: raise ValueError(\"Not enough free initial positions.\")\n48: # if one coordinate is out of bounds, we just continue\n49: if not (0 <= pos[0] < width) or not (0 <= pos[1] < height):\n50: continue\n51: # check if the new value is free\n52: if pos not in walls:\n53: right.append(pos)\n54:\n55: if len(right) == 2:\n56: break\n57:\n58: dist += 1\n59:\n60: # lower indices start further away\n61: left.reverse()\n62: right.reverse()\n63: return [left[0], right[0], left[1], right[1]]\n64:\n65: initial_positions([(0, 0), (0, 1), (0, 2), (0, 3), (1, 0), (1, 3), (2, 0), (2, 1), (2, 3), (3, 0), (3, 1), (3, 3), (4, 0), (4, 1), (4, 3), (5, 0), (5, 3), (6, 0), (6, 3), (7, 0), (7, 1), (7, 2), (7, 3)])", "question": "What is the value of ' y_dist ' in line '22' after '1' th iteration when 'initial_positions([(0, 0), (0, 1), (0, 2), (0, 3), (1, 0), (1, 3), (2, 0), (2, 1), (2, 3), (3, 0), (3, 1), (3, 3), (4, 0), (4, 1), (4, 3), (5, 0), (5, 3), (6, 0), (6, 3), (7, 0), (7, 1), (7, 2), (7, 3)])' is executed?", "answer": " 0 ", "variable_assignment": " y_dist = 0 "} +{"idx": 49, "scratchpad_format": "def extend(*args):\n args = list(args) # [STATE] args = [{}, {}] [/STATE]\n dest = args.pop(0) # [STATE] dest = {} [/STATE] # [STATE] args = [{}] [/STATE]\n for source in args: # [STATE] source = {} [/STATE]\n if source:\n dest.update(source)\n return dest\n\nextend(({}, {}))", "loop_code": "1: def extend(*args):\n2: args = list(args)\n3: dest = args.pop(0)\n4: for source in args:\n5: if source:\n6: dest.update(source)\n7: return dest\n8:\n9: extend(({}, {}))", "question": "What is the value of ' source ' in line '4' after '1' th iteration when 'extend(({}, {}))' is executed?", "answer": " {} ", "variable_assignment": " source = {} "} +{"idx": 50, "scratchpad_format": "def notification_event(events):\n \"\"\"\n Property: NotificationConfig.NotificationEvents\n \"\"\"\n\n valid_events = [\"All\", \"InProgress\", \"Success\", \"TimedOut\", \"Cancelled\", \"Failed\"] # [STATE] valid_events = ['All', 'InProgress', 'Success', 'TimedOut', 'Cancelled', 'Failed'] [/STATE]\n for event in events: # [STATE] event = 'All' [/STATE] [STATE] event = 'InProgress' [/STATE] [STATE] event = 'Success' [/STATE] [STATE] event = 'TimedOut' [/STATE] [STATE] event = 'Cancelled' [/STATE] [STATE] event = 'Failed' [/STATE]\n if event not in valid_events:\n raise ValueError(\n 'NotificationEvents must be at least one of: \"%s\"'\n % (\", \".join(valid_events))\n )\n return events\n\nnotification_event(['All', 'InProgress', 'Success', 'TimedOut', 'Cancelled', 'Failed'])", "loop_code": "1: def notification_event(events):\n2: \"\"\"\n3: Property: NotificationConfig.NotificationEvents\n4: \"\"\"\n5:\n6: valid_events = [\"All\", \"InProgress\", \"Success\", \"TimedOut\", \"Cancelled\", \"Failed\"]\n7: for event in events:\n8: if event not in valid_events:\n9: raise ValueError(\n10: 'NotificationEvents must be at least one of: \"%s\"'\n11: % (\", \".join(valid_events))\n12: )\n13: return events\n14:\n15: notification_event(['All', 'InProgress', 'Success', 'TimedOut', 'Cancelled', 'Failed'])", "question": "What is the value of ' event ' in line '7' after '5' th iteration when 'notification_event(['All', 'InProgress', 'Success', 'TimedOut', 'Cancelled', 'Failed'])' is executed?", "answer": " 'Cancelled' ", "variable_assignment": " event = 'Cancelled' "} +{"idx": 51, "scratchpad_format": "def _LiteralEval(value):\n \"\"\"Parse value as a Python literal, or container of containers and literals.\n\n First the AST of the value is updated so that bare-words are turned into\n strings. Then the resulting AST is evaluated as a literal or container of\n only containers and literals.\n\n This allows for the YAML-like syntax {a: b} to represent the dict {'a': 'b'}\n\n Args:\n value: A string to be parsed as a literal or container of containers and\n literals.\n Returns:\n The Python value representing the value arg.\n Raises:\n ValueError: If the value is not an expression with only containers and\n literals.\n SyntaxError: If the value string has a syntax error.\n \"\"\"\n root = ast.parse(value, mode='eval') # [STATE] root = {body=} [/STATE]\n if isinstance(root.body, ast.BinOp):\n raise ValueError(value)\n\n for node in ast.walk(root): # [STATE] node = {body=} [/STATE] [STATE] node = {elts=[, , ], ctx=, lineno=1, col_offset=0, end_lineno=1, end_col_offset=13} [/STATE] [STATE] node = {id='one', ctx=, lineno=1, col_offset=1, end_lineno=1, end_col_offset=4} [/STATE] [STATE] node = {value=2, kind=None, lineno=1, col_offset=6, end_lineno=1, end_col_offset=7} [/STATE] [STATE] node = {value='3', kind=None, lineno=1, col_offset=9, end_lineno=1, end_col_offset=12} [/STATE] [STATE] node = {} [/STATE]\n for field, child in ast.iter_fields(node): # [STATE] field = 'body' [/STATE] [STATE] child = {elts=[, , ], ctx=, lineno=1, col_offset=0, end_lineno=1, end_col_offset=13} [/STATE] [STATE] field = 'elts' [/STATE] [STATE] child = [, , ] [/STATE] [STATE] field = 'ctx' [/STATE] [STATE] child = {} [/STATE] [STATE] field = 'id' [/STATE] [STATE] child = 'one' [/STATE] [STATE] field = 'value' [/STATE] [STATE] child = 2 [/STATE] [STATE] field = 'kind' [/STATE] [STATE] child = None [/STATE] [STATE] child = '3' [/STATE]\n if isinstance(child, list):\n for index, subchild in enumerate(child): # [STATE] index = 0 [/STATE] [STATE] subchild = {id='one', ctx=, lineno=1, col_offset=1, end_lineno=1, end_col_offset=4} [/STATE] [STATE] index = 1 [/STATE] [STATE] subchild = {value=2, kind=None, lineno=1, col_offset=6, end_lineno=1, end_col_offset=7} [/STATE] [STATE] index = 2 [/STATE] [STATE] subchild = {value='3', kind=None, lineno=1, col_offset=9, end_lineno=1, end_col_offset=12} [/STATE]\n if isinstance(subchild, ast.Name):\n child[index] = _Replacement(subchild) # [STATE] node = {elts=[, , ], ctx=, lineno=1, col_offset=0, end_lineno=1, end_col_offset=13} [/STATE] # [STATE] child = [, , ] [/STATE]\n\n elif isinstance(child, ast.Name):\n replacement = _Replacement(child)\n node.__setattr__(field, replacement)\n\n # ast.literal_eval supports the following types:\n # strings, bytes, numbers, tuples, lists, dicts, sets, booleans, and None\n # (bytes and set literals only starting with Python 3.2)\n return ast.literal_eval(root)\n\n_LiteralEval('[one, 2, \"3\"]')", "loop_code": "1: def _LiteralEval(value):\n2: \"\"\"Parse value as a Python literal, or container of containers and literals.\n3:\n4: First the AST of the value is updated so that bare-words are turned into\n5: strings. Then the resulting AST is evaluated as a literal or container of\n6: only containers and literals.\n7:\n8: This allows for the YAML-like syntax {a: b} to represent the dict {'a': 'b'}\n9:\n10: Args:\n11: value: A string to be parsed as a literal or container of containers and\n12: literals.\n13: Returns:\n14: The Python value representing the value arg.\n15: Raises:\n16: ValueError: If the value is not an expression with only containers and\n17: literals.\n18: SyntaxError: If the value string has a syntax error.\n19: \"\"\"\n20: root = ast.parse(value, mode='eval')\n21: if isinstance(root.body, ast.BinOp):\n22: raise ValueError(value)\n23:\n24: for node in ast.walk(root):\n25: for field, child in ast.iter_fields(node):\n26: if isinstance(child, list):\n27: for index, subchild in enumerate(child):\n28: if isinstance(subchild, ast.Name):\n29: child[index] = _Replacement(subchild)\n30:\n31: elif isinstance(child, ast.Name):\n32: replacement = _Replacement(child)\n33: node.__setattr__(field, replacement)\n34:\n35: # ast.literal_eval supports the following types:\n36: # strings, bytes, numbers, tuples, lists, dicts, sets, booleans, and None\n37: # (bytes and set literals only starting with Python 3.2)\n38: return ast.literal_eval(root)\n39:\n40: _LiteralEval('[one, 2, \"3\"]')", "question": "What is the value of ' child ' in line '29' after '2' th iteration when '_LiteralEval('[one, 2, \"3\"]')' is executed?", "answer": " [, , ] ", "variable_assignment": " child = [, , ] "} +{"idx": 52, "scratchpad_format": "def prepare_docstring_help(N):\n \"\"\"Replace docstrings to include the parameters (schema)\"\"\"\n # at this point, the params have not yet been populated\n\n args = [] # [STATE] args = [] [/STATE]\n if hasattr(N, '__annotations__'):\n for attr_name, cls in N.__annotations__.items(): # [STATE] attr_name = 'bar' [/STATE] [STATE] cls = [/STATE]\n\n filtered = filter_params(N) # [STATE] filtered = [' bar: int = 0\\n'] [/STATE]\n parsed = parse_source_for_params(filtered) # [STATE] parsed = OrderedDict([('bar: int', '0')]) [/STATE]\n attr = attr_map(parsed).get(attr_name) # [STATE] attr = {'type': 'int', 'default': '0', 'description': ''} [/STATE]\n if attr is None:\n continue\n\n args.append(argument_help(attr_name, attr)) # [STATE] args = [' --bar (int): (Default is 0)'] [/STATE]\n\n return '\\n'.join(args)\n\nprepare_docstring_help({})", "loop_code": "1: def prepare_docstring_help(N):\n2: \"\"\"Replace docstrings to include the parameters (schema)\"\"\"\n3: # at this point, the params have not yet been populated\n4:\n5: args = []\n6: if hasattr(N, '__annotations__'):\n7: for attr_name, cls in N.__annotations__.items():\n8:\n9: filtered = filter_params(N)\n10: parsed = parse_source_for_params(filtered)\n11: attr = attr_map(parsed).get(attr_name)\n12: if attr is None:\n13: continue\n14:\n15: args.append(argument_help(attr_name, attr))\n16:\n17: return '\\n'.join(args)\n18:\n19: prepare_docstring_help({})", "question": "What is the value of ' filtered ' in line '9' after '1' th iteration when 'prepare_docstring_help({})' is executed?", "answer": " [' bar: int ", "variable_assignment": " filtered = [' bar: int = 0\\n'] "} +{"idx": 53, "scratchpad_format": "def filter_params(N):\n \"\"\"Filter source lines of the class\n Returns:\n fields as source lines\n \"\"\"\n filtered_source = [] # [STATE] filtered_source = [] [/STATE]\n for line in inspect.getsourcelines(N.__class__)[0][1:]: # [STATE] line = ' bar: int = 0\\n' [/STATE]\n # When parsing, post_init would bleed into the attributes without this hack\n if line.strip().startswith('def '):\n break\n filtered_source.append(line) # [STATE] filtered_source = [' bar: int = 0\\n'] [/STATE]\n return filtered_source\n\nfilter_params({})", "loop_code": "1: def filter_params(N):\n2: \"\"\"Filter source lines of the class\n3: Returns:\n4: fields as source lines\n5: \"\"\"\n6: filtered_source = []\n7: for line in inspect.getsourcelines(N.__class__)[0][1:]:\n8: # When parsing, post_init would bleed into the attributes without this hack\n9: if line.strip().startswith('def '):\n10: break\n11: filtered_source.append(line)\n12: return filtered_source\n13:\n14: filter_params({})", "question": "What is the value of ' filtered_source ' in line '11' after '1' th iteration when 'filter_params({})' is executed?", "answer": " [' bar: int ", "variable_assignment": " filtered_source = [' bar: int = 0\\n'] "} +{"idx": 54, "scratchpad_format": "def filter_fields(d: dict, nt):\n \"\"\"Excludes fields not found in the schema/namedtuple\"\"\"\n res = {} # [STATE] res = {} [/STATE]\n for k, v in d.items(): # [STATE] k = 'bar' [/STATE] [STATE] v = '42' [/STATE]\n if k in nt._fields:\n res.update({k: v}) # [STATE] res = {'bar': '42'} [/STATE]\n\n return res\n\nfilter_fields({'bar': '42'}, {})", "loop_code": "1: def filter_fields(d: dict, nt):\n2: \"\"\"Excludes fields not found in the schema/namedtuple\"\"\"\n3: res = {}\n4: for k, v in d.items():\n5: if k in nt._fields:\n6: res.update({k: v})\n7:\n8: return res\n9:\n10: filter_fields({'bar': '42'}, {})", "question": "What is the value of ' res ' in line '6' after '1' th iteration when 'filter_fields({'bar': '42'}, {})' is executed?", "answer": " {'bar': '42'} ", "variable_assignment": " res = {'bar': '42'} "} +{"idx": 55, "scratchpad_format": "def type_correct_with(cdict, cfg_tuple):\n \"\"\"Use type hints of the cfg tuple to cast parameters i.e. attributes into their intended types\"\"\"\n # TODO: This would be cleaner, if the config would use Schema or derivative in the\n # first place and use its validation process\n res = {} # [STATE] res = {} [/STATE]\n for k, v in cdict.items(): # [STATE] k = 'bar' [/STATE] [STATE] v = '42' [/STATE]\n typename = getattr(cfg_tuple, k) # [STATE] typename = 0 [/STATE]\n res.update({k: type(typename)(v)}) # [STATE] res = {'bar': 42} [/STATE]\n return res\n\ntype_correct_with({'bar': '42'}, {})", "loop_code": "1: def type_correct_with(cdict, cfg_tuple):\n2: \"\"\"Use type hints of the cfg tuple to cast parameters i.e. attributes into their intended types\"\"\"\n3: # TODO: This would be cleaner, if the config would use Schema or derivative in the\n4: # first place and use its validation process\n5: res = {}\n6: for k, v in cdict.items():\n7: typename = getattr(cfg_tuple, k)\n8: res.update({k: type(typename)(v)})\n9: return res\n10:\n11: type_correct_with({'bar': '42'}, {})", "question": "What is the value of ' typename ' in line '7' after '1' th iteration when 'type_correct_with({'bar': '42'}, {})' is executed?", "answer": " 0 ", "variable_assignment": " typename = 0 "} +{"idx": 56, "scratchpad_format": "def process_fenced_block(lines, start_line_num):\n for line_num in range(start_line_num, len(lines)): # [STATE] line_num = 4 [/STATE] [STATE] line_num = 5 [/STATE] [STATE] line_num = 6 [/STATE] [STATE] line_num = 7 [/STATE] [STATE] line_num = 8 [/STATE] [STATE] line_num = 9 [/STATE]\n line = lines[line_num] # [STATE] line = '--- /dev/null\\n' [/STATE] [STATE] line = '+++ file.txt\\n' [/STATE] [STATE] line = '@@ ... @@\\n' [/STATE] [STATE] line = '-Original\\n' [/STATE] [STATE] line = '+Modified\\n' [/STATE] [STATE] line = '```\\n' [/STATE]\n if line.startswith(\"```\"):\n break\n\n block = lines[start_line_num:line_num] # [STATE] block = ['--- /dev/null\\n', '+++ file.txt\\n', '@@ ... @@\\n', '-Original\\n', '+Modified\\n'] [/STATE]\n block.append(\"@@ @@\") # [STATE] block = ['--- /dev/null\\n', '+++ file.txt\\n', '@@ ... @@\\n', '-Original\\n', '+Modified\\n', '@@ @@'] [/STATE]\n\n if block[0].startswith(\"--- \") and block[1].startswith(\"+++ \"):\n # Extract the file path, considering that it might contain spaces\n fname = block[1][4:].strip() # [STATE] fname = 'file.txt' [/STATE]\n block = block[2:] # [STATE] block = ['@@ ... @@\\n', '-Original\\n', '+Modified\\n', '@@ @@'] [/STATE]\n else:\n fname = None\n\n edits = [] # [STATE] edits = [] [/STATE]\n\n keeper = False # [STATE] keeper = False [/STATE]\n hunk = [] # [STATE] hunk = [] [/STATE]\n op = \" \" # [STATE] op = ' ' [/STATE]\n for line in block: # [STATE] line = '@@ ... @@\\n' [/STATE] [STATE] line = '-Original\\n' [/STATE] [STATE] line = '+Modified\\n' [/STATE] [STATE] line = '@@ @@' [/STATE]\n hunk.append(line) # [STATE] hunk = ['@@ ... @@\\n'] [/STATE] [STATE] hunk = ['-Original\\n'] [/STATE] [STATE] hunk = ['-Original\\n', '+Modified\\n'] [/STATE] [STATE] hunk = ['-Original\\n', '+Modified\\n', '@@ @@'] [/STATE]\n if len(line) < 2:\n continue\n\n if line.startswith(\"+++ \") and hunk[-2].startswith(\"--- \"):\n if hunk[-3] == \"\\n\":\n hunk = hunk[:-3]\n else:\n hunk = hunk[:-2]\n\n edits.append((fname, hunk))\n hunk = []\n keeper = False\n\n fname = line[4:].strip()\n continue\n\n op = line[0] # [STATE] op = '@' [/STATE] [STATE] op = '-' [/STATE] [STATE] op = '+' [/STATE]\n if op in \"-+\":\n keeper = True # [STATE] keeper = True [/STATE]\n continue\n if op != \"@\":\n continue\n if not keeper:\n hunk = [] # [STATE] hunk = [] [/STATE]\n continue\n\n hunk = hunk[:-1] # [STATE] hunk = ['-Original\\n', '+Modified\\n'] [/STATE]\n edits.append((fname, hunk)) # [STATE] edits = [('file.txt', ['-Original\\n', '+Modified\\n'])] [/STATE]\n hunk = [] # [STATE] hunk = [] [/STATE]\n keeper = False # [STATE] keeper = False [/STATE]\n\n return line_num + 1, edits\n\nprocess_fenced_block(['\\n', 'Some text...\\n', '\\n', '```diff\\n', '--- /dev/null\\n', '+++ file.txt\\n', '@@ ... @@\\n', '-Original\\n', '+Modified\\n', '```\\n'], 4)", "loop_code": "1: def process_fenced_block(lines, start_line_num):\n2: for line_num in range(start_line_num, len(lines)):\n3: line = lines[line_num]\n4: if line.startswith(\"```\"):\n5: break\n6:\n7: block = lines[start_line_num:line_num]\n8: block.append(\"@@ @@\")\n9:\n10: if block[0].startswith(\"--- \") and block[1].startswith(\"+++ \"):\n11: # Extract the file path, considering that it might contain spaces\n12: fname = block[1][4:].strip()\n13: block = block[2:]\n14: else:\n15: fname = None\n16:\n17: edits = []\n18:\n19: keeper = False\n20: hunk = []\n21: op = \" \"\n22: for line in block:\n23: hunk.append(line)\n24: if len(line) < 2:\n25: continue\n26:\n27: if line.startswith(\"+++ \") and hunk[-2].startswith(\"--- \"):\n28: if hunk[-3] == \"\\n\":\n29: hunk = hunk[:-3]\n30: else:\n31: hunk = hunk[:-2]\n32:\n33: edits.append((fname, hunk))\n34: hunk = []\n35: keeper = False\n36:\n37: fname = line[4:].strip()\n38: continue\n39:\n40: op = line[0]\n41: if op in \"-+\":\n42: keeper = True\n43: continue\n44: if op != \"@\":\n45: continue\n46: if not keeper:\n47: hunk = []\n48: continue\n49:\n50: hunk = hunk[:-1]\n51: edits.append((fname, hunk))\n52: hunk = []\n53: keeper = False\n54:\n55: return line_num + 1, edits\n56:\n57: process_fenced_block(['\\n', 'Some text...\\n', '\\n', '```diff\\n', '--- /dev/null\\n', '+++ file.txt\\n', '@@ ... @@\\n', '-Original\\n', '+Modified\\n', '```\\n'], 4)", "question": "What is the value of ' line ' in line '3' after '6' th iteration when 'process_fenced_block(['\\n', 'Some text...\\n', '\\n', '```diff\\n', '--- /dev/null\\n', '+++ file.txt\\n', '@@ ... @@\\n', '-Original\\n', '+Modified\\n', '```\\n'], 4)' is executed?", "answer": " '```\\n' ", "variable_assignment": " line = '```\\n' "} +{"idx": 57, "scratchpad_format": "def assert_newlines(lines):\n if not lines:\n return\n for line in lines[:-1]: # [STATE] line = '0\\n' [/STATE] [STATE] line = '1\\n' [/STATE] [STATE] line = '2\\n' [/STATE] [STATE] line = '3\\n' [/STATE] [STATE] line = '4\\n' [/STATE] [STATE] line = '5\\n' [/STATE] [STATE] line = '6\\n' [/STATE] [STATE] line = '7\\n' [/STATE] [STATE] line = '8\\n' [/STATE] [STATE] line = '9\\n' [/STATE] [STATE] line = '10\\n' [/STATE] [STATE] line = '11\\n' [/STATE] [STATE] line = '12\\n' [/STATE] [STATE] line = '13\\n' [/STATE] [STATE] line = '14\\n' [/STATE] [STATE] line = '15\\n' [/STATE] [STATE] line = '16\\n' [/STATE] [STATE] line = '17\\n' [/STATE] [STATE] line = '18\\n' [/STATE] [STATE] line = '19\\n' [/STATE] [STATE] line = '20\\n' [/STATE]\n assert line and line[-1] == \"\\n\", line\n\nassert_newlines(['0\\n', '1\\n', '2\\n', '3\\n', '4\\n', '5\\n', '6\\n', '7\\n', '8\\n', '9\\n', '10\\n', '11\\n', '12\\n', '13\\n', '14\\n', '15\\n', '16\\n', '17\\n', '18\\n', '19\\n', '20\\n', '21\\n', '22\\n', '23\\n', '24\\n', '25\\n', '26\\n', '27\\n', '28\\n', '29\\n', '30\\n', '31\\n', '32\\n', '33\\n', '34\\n', '35\\n', '36\\n', '37\\n', '38\\n', '39\\n', '40\\n', '41\\n', '42\\n', '43\\n', '44\\n', '45\\n', '46\\n', '47\\n', '48\\n', '49\\n', '50\\n', '51\\n', '52\\n', '53\\n', '54\\n', '55\\n', '56\\n', '57\\n', '58\\n', '59\\n', '60\\n', '61\\n', '62\\n', '63\\n', '64\\n', '65\\n', '66\\n', '67\\n', '68\\n', '69\\n', '70\\n', '71\\n', '72\\n', '73\\n', '74\\n', '75\\n', '76\\n', '77\\n', '78\\n', '79\\n', '80\\n', '81\\n', '82\\n', '83\\n', '84\\n', '85\\n', '86\\n', '87\\n', '88\\n', '89\\n', '90\\n', '91\\n', '92\\n', '93\\n', '94\\n', '95\\n', '96\\n', '97\\n', '98\\n', '99'])", "loop_code": "1: def assert_newlines(lines):\n2: if not lines:\n3: return\n4: for line in lines[:-1]:\n5: assert line and line[-1] == \"\\n\", line\n6:\n7: assert_newlines(['0\\n', '1\\n', '2\\n', '3\\n', '4\\n', '5\\n', '6\\n', '7\\n', '8\\n', '9\\n', '10\\n', '11\\n', '12\\n', '13\\n', '14\\n', '15\\n', '16\\n', '17\\n', '18\\n', '19\\n', '20\\n', '21\\n', '22\\n', '23\\n', '24\\n', '25\\n', '26\\n', '27\\n', '28\\n', '29\\n', '30\\n', '31\\n', '32\\n', '33\\n', '34\\n', '35\\n', '36\\n', '37\\n', '38\\n', '39\\n', '40\\n', '41\\n', '42\\n', '43\\n', '44\\n', '45\\n', '46\\n', '47\\n', '48\\n', '49\\n', '50\\n', '51\\n', '52\\n', '53\\n', '54\\n', '55\\n', '56\\n', '57\\n', '58\\n', '59\\n', '60\\n', '61\\n', '62\\n', '63\\n', '64\\n', '65\\n', '66\\n', '67\\n', '68\\n', '69\\n', '70\\n', '71\\n', '72\\n', '73\\n', '74\\n', '75\\n', '76\\n', '77\\n', '78\\n', '79\\n', '80\\n', '81\\n', '82\\n', '83\\n', '84\\n', '85\\n', '86\\n', '87\\n', '88\\n', '89\\n', '90\\n', '91\\n', '92\\n', '93\\n', '94\\n', '95\\n', '96\\n', '97\\n', '98\\n', '99'])", "question": "What is the value of ' line ' in line '4' after '4' th iteration when 'assert_newlines(['0\\n', '1\\n', '2\\n', '3\\n', '4\\n', '5\\n', '6\\n', '7\\n', '8\\n', '9\\n', '10\\n', '11\\n', '12\\n', '13\\n', '14\\n', '15\\n', '16\\n', '17\\n', '18\\n', '19\\n', '20\\n', '21\\n', '22\\n', '23\\n', '24\\n', '25\\n', '26\\n', '27\\n', '28\\n', '29\\n', '30\\n', '31\\n', '32\\n', '33\\n', '34\\n', '35\\n', '36\\n', '37\\n', '38\\n', '39\\n', '40\\n', '41\\n', '42\\n', '43\\n', '44\\n', '45\\n', '46\\n', '47\\n', '48\\n', '49\\n', '50\\n', '51\\n', '52\\n', '53\\n', '54\\n', '55\\n', '56\\n', '57\\n', '58\\n', '59\\n', '60\\n', '61\\n', '62\\n', '63\\n', '64\\n', '65\\n', '66\\n', '67\\n', '68\\n', '69\\n', '70\\n', '71\\n', '72\\n', '73\\n', '74\\n', '75\\n', '76\\n', '77\\n', '78\\n', '79\\n', '80\\n', '81\\n', '82\\n', '83\\n', '84\\n', '85\\n', '86\\n', '87\\n', '88\\n', '89\\n', '90\\n', '91\\n', '92\\n', '93\\n', '94\\n', '95\\n', '96\\n', '97\\n', '98\\n', '99'])' is executed?", "answer": " '3\\n' ", "variable_assignment": " line = '3\\n' "} +{"idx": 58, "scratchpad_format": "def flatten(d, parent_key=\"\", sep=\"/\") -> Dict[str, Any]:\n \"\"\"Flatten a dictionary.\n\n Source: https://stackoverflow.com/questions/6027558/flatten-nested-dictionaries-compressing-keys\n\n Parameters\n ----------\n d : Dict\n The dictionary to flatten.\n parent_key : str, optional\n The parent key, by default \"\"\n sep : str, optional\n The separator to use, by default \"/\"\n\n Returns\n -------\n Dict[str, Any]\n The flattened dictionary.\n \"\"\"\n items: List[Tuple[str, List[str]]] = [] # [STATE] items = [] [/STATE]\n for k, v in d.items(): # [STATE] k = 'top' [/STATE] [STATE] v = ['CoinGecko', 'CoinMarketCap'] [/STATE] [STATE] k = 'trending' [/STATE] [STATE] v = ['CoinGecko'] [/STATE] [STATE] k = 'gainers' [/STATE] [STATE] k = 'losers' [/STATE] [STATE] k = 'search' [/STATE] [STATE] v = ['CoinPaprika'] [/STATE] [STATE] k = 'nft_mktp_chains' [/STATE] [STATE] v = ['DappRadar'] [/STATE] [STATE] k = 'nft_mktp' [/STATE] [STATE] k = 'dapps' [/STATE] [STATE] k = 'dapp_categories' [/STATE] [STATE] k = 'dapp_chains' [/STATE] [STATE] k = 'dapp_metrics' [/STATE] [STATE] k = 'defi_chains' [/STATE] [STATE] k = 'tokens' [/STATE] [STATE] k = 'fees' [/STATE] [STATE] v = ['Cryptostats'] [/STATE]\n new_key = parent_key + sep + k if parent_key else k # [STATE] new_key = 'crypto/disc/top' [/STATE] [STATE] new_key = 'crypto/disc/trending' [/STATE] [STATE] new_key = 'crypto/disc/gainers' [/STATE] [STATE] new_key = 'crypto/disc/losers' [/STATE] [STATE] new_key = 'crypto/disc/search' [/STATE] [STATE] new_key = 'crypto/disc/nft_mktp_chains' [/STATE] [STATE] new_key = 'crypto/disc/nft_mktp' [/STATE] [STATE] new_key = 'crypto/disc/dapps' [/STATE] [STATE] new_key = 'crypto/disc/dapp_categories' [/STATE] [STATE] new_key = 'crypto/disc/dapp_chains' [/STATE] [STATE] new_key = 'crypto/disc/dapp_metrics' [/STATE] [STATE] new_key = 'crypto/disc/defi_chains' [/STATE] [STATE] new_key = 'crypto/disc/tokens' [/STATE] [STATE] new_key = 'crypto/disc/fees' [/STATE]\n if isinstance(v, MutableMapping):\n items.extend(flatten(v, new_key, sep=sep).items())\n else:\n items.append((new_key, v)) # [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika']), ('crypto/disc/nft_mktp_chains', ['DappRadar'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika']), ('crypto/disc/nft_mktp_chains', ['DappRadar']), ('crypto/disc/nft_mktp', ['DappRadar'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika']), ('crypto/disc/nft_mktp_chains', ['DappRadar']), ('crypto/disc/nft_mktp', ['DappRadar']), ('crypto/disc/dapps', ['DappRadar'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika']), ('crypto/disc/nft_mktp_chains', ['DappRadar']), ('crypto/disc/nft_mktp', ['DappRadar']), ('crypto/disc/dapps', ['DappRadar']), ('crypto/disc/dapp_categories', ['DappRadar'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika']), ('crypto/disc/nft_mktp_chains', ['DappRadar']), ('crypto/disc/nft_mktp', ['DappRadar']), ('crypto/disc/dapps', ['DappRadar']), ('crypto/disc/dapp_categories', ['DappRadar']), ('crypto/disc/dapp_chains', ['DappRadar'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika']), ('crypto/disc/nft_mktp_chains', ['DappRadar']), ('crypto/disc/nft_mktp', ['DappRadar']), ('crypto/disc/dapps', ['DappRadar']), ('crypto/disc/dapp_categories', ['DappRadar']), ('crypto/disc/dapp_chains', ['DappRadar']), ('crypto/disc/dapp_metrics', ['DappRadar'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika']), ('crypto/disc/nft_mktp_chains', ['DappRadar']), ('crypto/disc/nft_mktp', ['DappRadar']), ('crypto/disc/dapps', ['DappRadar']), ('crypto/disc/dapp_categories', ['DappRadar']), ('crypto/disc/dapp_chains', ['DappRadar']), ('crypto/disc/dapp_metrics', ['DappRadar']), ('crypto/disc/defi_chains', ['DappRadar'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika']), ('crypto/disc/nft_mktp_chains', ['DappRadar']), ('crypto/disc/nft_mktp', ['DappRadar']), ('crypto/disc/dapps', ['DappRadar']), ('crypto/disc/dapp_categories', ['DappRadar']), ('crypto/disc/dapp_chains', ['DappRadar']), ('crypto/disc/dapp_metrics', ['DappRadar']), ('crypto/disc/defi_chains', ['DappRadar']), ('crypto/disc/tokens', ['DappRadar'])] [/STATE] [STATE] items = [('crypto/disc/top', ['CoinGecko', 'CoinMarketCap']), ('crypto/disc/trending', ['CoinGecko']), ('crypto/disc/gainers', ['CoinGecko']), ('crypto/disc/losers', ['CoinGecko']), ('crypto/disc/search', ['CoinPaprika']), ('crypto/disc/nft_mktp_chains', ['DappRadar']), ('crypto/disc/nft_mktp', ['DappRadar']), ('crypto/disc/dapps', ['DappRadar']), ('crypto/disc/dapp_categories', ['DappRadar']), ('crypto/disc/dapp_chains', ['DappRadar']), ('crypto/disc/dapp_metrics', ['DappRadar']), ('crypto/disc/defi_chains', ['DappRadar']), ('crypto/disc/tokens', ['DappRadar']), ('crypto/disc/fees', ['Cryptostats'])] [/STATE]\n return dict(items)\n\nflatten({'top': ['CoinGecko', 'CoinMarketCap'], 'trending': ['CoinGecko'], 'gainers': ['CoinGecko'], 'losers': ['CoinGecko'], 'search': ['CoinPaprika'], 'nft_mktp_chains': ['DappRadar'], 'nft_mktp': ['DappRadar'], 'dapps': ['DappRadar'], 'dapp_categories': ['DappRadar'], 'dapp_chains': ['DappRadar'], 'dapp_metrics': ['DappRadar'], 'defi_chains': ['DappRadar'], 'tokens': ['DappRadar'], 'fees': ['Cryptostats']}, 'crypto/disc', '/')", "loop_code": "1: def flatten(d, parent_key=\"\", sep=\"/\") -> Dict[str, Any]:\n2: \"\"\"Flatten a dictionary.\n3:\n4: Source: https://stackoverflow.com/questions/6027558/flatten-nested-dictionaries-compressing-keys\n5:\n6: Parameters\n7: ----------\n8: d : Dict\n9: The dictionary to flatten.\n10: parent_key : str, optional\n11: The parent key, by default \"\"\n12: sep : str, optional\n13: The separator to use, by default \"/\"\n14:\n15: Returns\n16: -------\n17: Dict[str, Any]\n18: The flattened dictionary.\n19: \"\"\"\n20: items: List[Tuple[str, List[str]]] = []\n21: for k, v in d.items():\n22: new_key = parent_key + sep + k if parent_key else k\n23: if isinstance(v, MutableMapping):\n24: items.extend(flatten(v, new_key, sep=sep).items())\n25: else:\n26: items.append((new_key, v))\n27: return dict(items)\n28:\n29: flatten({'top': ['CoinGecko', 'CoinMarketCap'], 'trending': ['CoinGecko'], 'gainers': ['CoinGecko'], 'losers': ['CoinGecko'], 'search': ['CoinPaprika'], 'nft_mktp_chains': ['DappRadar'], 'nft_mktp': ['DappRadar'], 'dapps': ['DappRadar'], 'dapp_categories': ['DappRadar'], 'dapp_chains': ['DappRadar'], 'dapp_metrics': ['DappRadar'], 'defi_chains': ['DappRadar'], 'tokens': ['DappRadar'], 'fees': ['Cryptostats']}, 'crypto/disc', '/')", "question": "What is the value of ' new_key ' in line '22' after '1' th iteration when 'flatten({'top': ['CoinGecko', 'CoinMarketCap'], 'trending': ['CoinGecko'], 'gainers': ['CoinGecko'], 'losers': ['CoinGecko'], 'search': ['CoinPaprika'], 'nft_mktp_chains': ['DappRadar'], 'nft_mktp': ['DappRadar'], 'dapps': ['DappRadar'], 'dapp_categories': ['DappRadar'], 'dapp_chains': ['DappRadar'], 'dapp_metrics': ['DappRadar'], 'defi_chains': ['DappRadar'], 'tokens': ['DappRadar'], 'fees': ['Cryptostats']}, 'crypto/disc', '/')' is executed?", "answer": " 'crypto/disc/top' ", "variable_assignment": " new_key = 'crypto/disc/top' "} +{"idx": 59, "scratchpad_format": "def _test_grad_nd(n, ndim):\n coords = [np.arange(n)] * ndim # [STATE] coords = [array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91])] [/STATE]\n xc = np.meshgrid(*coords, indexing=\"ij\") # [STATE] xc = [array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91])] [/STATE]\n\n # u = sum_i(xc[i]**2)\n u = reduce(lambda x,y: x+y**2, xc, 0.0) # [STATE] u = array([0.000e+00, 1.000e+00, 4.000e+00, 9.000e+00, 1.600e+01, 2.500e+01, 3.600e+01, 4.900e+01, 6.400e+01, 8.100e+01, 1.000e+02, 1.210e+02, 1.440e+02, 1.690e+02, 1.960e+02, 2.250e+02, 2.560e+02, 2.890e+02, 3.240e+02, 3.610e+02, 4.000e+02, 4.410e+02, 4.840e+02, 5.290e+02, 5.760e+02, 6.250e+02, 6.760e+02, 7.290e+02, 7.840e+02, 8.410e+02, 9.000e+02, 9.610e+02, 1.024e+03, 1.089e+03, 1.156e+03, 1.225e+03, 1.296e+03, 1.369e+03, 1.444e+03, 1.521e+03, 1.600e+03, 1.681e+03, 1.764e+03, 1.849e+03, 1.936e+03, 2.025e+03, 2.116e+03, 2.209e+03, 2.304e+03, 2.401e+03, 2.500e+03, 2.601e+03, 2.704e+03, 2.809e+03, 2.916e+03, 3.025e+03, 3.136e+03, 3.249e+03, 3.364e+03, 3.481e+03, 3.600e+03, 3.721e+03, 3.844e+03, 3.969e+03, 4.096e+03, 4.225e+03, 4.356e+03, 4.489e+03, 4.624e+03, 4.761e+03, 4.900e+03, 5.041e+03, 5.184e+03, 5.329e+03, 5.476e+03, 5.625e+03, 5.776e+03, 5.929e+03, 6.084e+03, 6.241e+03, 6.400e+03, 6.561e+03, 6.724e+03, 6.889e+03, 7.056e+03, 7.225e+03, 7.396e+03, 7.569e+03, 7.744e+03, 7.921e+03, 8.100e+03, 8.281e+03]) [/STATE]\n ucopy = np.copy(u) # [STATE] ucopy = array([0.000e+00, 1.000e+00, 4.000e+00, 9.000e+00, 1.600e+01, 2.500e+01, 3.600e+01, 4.900e+01, 6.400e+01, 8.100e+01, 1.000e+02, 1.210e+02, 1.440e+02, 1.690e+02, 1.960e+02, 2.250e+02, 2.560e+02, 2.890e+02, 3.240e+02, 3.610e+02, 4.000e+02, 4.410e+02, 4.840e+02, 5.290e+02, 5.760e+02, 6.250e+02, 6.760e+02, 7.290e+02, 7.840e+02, 8.410e+02, 9.000e+02, 9.610e+02, 1.024e+03, 1.089e+03, 1.156e+03, 1.225e+03, 1.296e+03, 1.369e+03, 1.444e+03, 1.521e+03, 1.600e+03, 1.681e+03, 1.764e+03, 1.849e+03, 1.936e+03, 2.025e+03, 2.116e+03, 2.209e+03, 2.304e+03, 2.401e+03, 2.500e+03, 2.601e+03, 2.704e+03, 2.809e+03, 2.916e+03, 3.025e+03, 3.136e+03, 3.249e+03, 3.364e+03, 3.481e+03, 3.600e+03, 3.721e+03, 3.844e+03, 3.969e+03, 4.096e+03, 4.225e+03, 4.356e+03, 4.489e+03, 4.624e+03, 4.761e+03, 4.900e+03, 5.041e+03, 5.184e+03, 5.329e+03, 5.476e+03, 5.625e+03, 5.776e+03, 5.929e+03, 6.084e+03, 6.241e+03, 6.400e+03, 6.561e+03, 6.724e+03, 6.889e+03, 7.056e+03, 7.225e+03, 7.396e+03, 7.569e+03, 7.744e+03, 7.921e+03, 8.100e+03, 8.281e+03]) [/STATE]\n\n # check the gradient values\n slices = tuple([slice(1,-1,None)] * ndim) # [STATE] slices = (slice(1, -1, None),) [/STATE]\n for i in range(ndim): # [STATE] i = 0 [/STATE]\n assert grad(u, axis=i) == pytest.approx(2*xc[i][slices]) # [STATE] @py_assert3 = None [/STATE] # [STATE] @py_assert7 = None [/STATE] # [STATE] @py_assert9 = None [/STATE] # [STATE] @py_assert11 = None [/STATE] # [STATE] @py_assert13 = None [/STATE] # [STATE] @py_assert14 = None [/STATE] # [STATE] @py_assert5 = None [/STATE]\n\n # check if u is unchanged\n assert np.all(u == ucopy) # [STATE] @py_assert1 = None [/STATE] # [STATE] @py_assert4 = None [/STATE] # [STATE] @py_assert8 = None [/STATE]\n\n_test_grad_nd(92, 1)", "loop_code": "1: def _test_grad_nd(n, ndim):\n2: coords = [np.arange(n)] * ndim\n3: xc = np.meshgrid(*coords, indexing=\"ij\")\n4:\n5: # u = sum_i(xc[i]**2)\n6: u = reduce(lambda x,y: x+y**2, xc, 0.0)\n7: ucopy = np.copy(u)\n8:\n9: # check the gradient values\n10: slices = tuple([slice(1,-1,None)] * ndim)\n11: for i in range(ndim):\n12: assert grad(u, axis=i) == pytest.approx(2*xc[i][slices])\n13:\n14: # check if u is unchanged\n15: assert np.all(u == ucopy)\n16:\n17: _test_grad_nd(92, 1)", "question": "What is the value of ' @py_assert7 ' in line '12' after '2' th iteration when '_test_grad_nd(92, 1)' is executed?", "answer": " None ", "variable_assignment": " @py_assert7 = None "} +{"idx": 60, "scratchpad_format": "def _test_grad2_nd(n, ndim):\n coords = [np.arange(n)] * ndim # [STATE] coords = [array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])] [/STATE]\n xc = np.meshgrid(*coords, indexing=\"ij\") # [STATE] xc = [array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])] [/STATE]\n\n # u = sum_i(xc[i]**2)\n u = reduce(lambda x,y: x+y**2, xc, 0.0) # [STATE] u = array([ 0., 1., 4., 9., 16., 25., 36., 49., 64., 81., 100., 121., 144., 169., 196., 225., 256., 289., 324., 361., 400., 441., 484., 529., 576., 625., 676., 729., 784., 841., 900., 961.]) [/STATE]\n ucopy = np.copy(u) # [STATE] ucopy = array([ 0., 1., 4., 9., 16., 25., 36., 49., 64., 81., 100., 121., 144., 169., 196., 225., 256., 289., 324., 361., 400., 441., 484., 529., 576., 625., 676., 729., 784., 841., 900., 961.]) [/STATE]\n\n # check the gradient values\n gu = np.zeros(tuple([n-2]*ndim)) # [STATE] gu = array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) [/STATE]\n gu2 = gu + 2.0 # [STATE] gu2 = array([2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.]) [/STATE]\n for i in range(ndim): # [STATE] i = 0 [/STATE]\n for j in range(ndim): # [STATE] j = 0 [/STATE]\n if i == j:\n assert grad2(u, axes=(i,j)) == pytest.approx(gu2) # [STATE] @py_assert2 = None [/STATE] # [STATE] @py_assert4 = None [/STATE] # [STATE] @py_assert8 = None [/STATE] # [STATE] @py_assert11 = None [/STATE] # [STATE] @py_assert6 = None [/STATE]\n else:\n assert grad2(u, axes=(i,j)) == pytest.approx(gu)\n\n # check if u is unchanged\n assert np.all(u == ucopy) # [STATE] @py_assert1 = None [/STATE]\n\n_test_grad2_nd(32, 1)", "loop_code": "1: def _test_grad2_nd(n, ndim):\n2: coords = [np.arange(n)] * ndim\n3: xc = np.meshgrid(*coords, indexing=\"ij\")\n4:\n5: # u = sum_i(xc[i]**2)\n6: u = reduce(lambda x,y: x+y**2, xc, 0.0)\n7: ucopy = np.copy(u)\n8:\n9: # check the gradient values\n10: gu = np.zeros(tuple([n-2]*ndim))\n11: gu2 = gu + 2.0\n12: for i in range(ndim):\n13: for j in range(ndim):\n14: if i == j:\n15: assert grad2(u, axes=(i,j)) == pytest.approx(gu2)\n16: else:\n17: assert grad2(u, axes=(i,j)) == pytest.approx(gu)\n18:\n19: # check if u is unchanged\n20: assert np.all(u == ucopy)\n21:\n22: _test_grad2_nd(32, 1)", "question": "What is the value of ' @py_assert11 ' in line '15' after '4' th iteration when '_test_grad2_nd(32, 1)' is executed?", "answer": " None ", "variable_assignment": " @py_assert11 = None "} +{"idx": 61, "scratchpad_format": "def _makeComplementTable(complementData):\n \"\"\"\n Make a sequence complement table.\n\n @param complementData: A C{dict} whose keys and values are strings of\n length one. A key, value pair indicates a substitution that should\n be performed during complementation.\n @return: A 256 character string that can be used as a translation table\n by the C{translate} method of a Python string.\n \"\"\"\n table = list(range(256)) # [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE]\n for _from, to in complementData.items(): # [STATE] _from = 'A' [/STATE] [STATE] to = 'T' [/STATE] [STATE] _from = 'C' [/STATE] [STATE] to = 'G' [/STATE] [STATE] _from = 'G' [/STATE] [STATE] to = 'C' [/STATE] [STATE] _from = 'T' [/STATE] [STATE] to = 'A' [/STATE] [STATE] _from = 'M' [/STATE] [STATE] to = 'K' [/STATE] [STATE] _from = 'R' [/STATE] [STATE] to = 'Y' [/STATE] [STATE] _from = 'W' [/STATE] [STATE] to = 'W' [/STATE] [STATE] _from = 'S' [/STATE] [STATE] to = 'S' [/STATE] [STATE] _from = 'Y' [/STATE] [STATE] to = 'R' [/STATE] [STATE] _from = 'K' [/STATE] [STATE] to = 'M' [/STATE] [STATE] _from = 'V' [/STATE]\n table[ord(_from[0].lower())] = ord(to[0].lower()) # [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 97, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 65, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 107, 110, 111, 112, 113, 114, 115, 97, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 75, 78, 79, 80, 81, 82, 83, 65, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 118, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 86, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 118, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 77, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 86, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 98, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 77, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 66, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 100, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 98, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 68, 73, 74, 77, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 66, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 104, 101, 102, 99, 100, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 98, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 72, 69, 70, 67, 68, 73, 74, 77, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 66, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 118, 103, 104, 101, 102, 99, 100, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 98, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE]\n table[ord(_from[0].upper())] = ord(to[0].upper()) # [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 65, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 97, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 75, 78, 79, 80, 81, 82, 83, 65, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 107, 110, 111, 112, 113, 114, 115, 97, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 75, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 86, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 107, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 118, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 77, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 86, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 118, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 72, 73, 74, 77, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 66, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 104, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 98, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 68, 69, 70, 67, 68, 73, 74, 77, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 66, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 99, 100, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 98, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 71, 72, 69, 70, 67, 68, 73, 74, 77, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 66, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 104, 101, 102, 99, 100, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 98, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE] [STATE] table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 86, 71, 72, 69, 70, 67, 68, 73, 74, 77, 76, 75, 78, 79, 80, 81, 89, 83, 65, 85, 66, 87, 88, 82, 90, 91, 92, 93, 94, 95, 96, 116, 118, 103, 104, 101, 102, 99, 100, 105, 106, 109, 108, 107, 110, 111, 112, 113, 121, 115, 97, 117, 98, 119, 120, 114, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] [/STATE]\n return ''.join(map(chr, table))\n\n_makeComplementTable({'A': 'T', 'C': 'G', 'G': 'C', 'T': 'A', 'M': 'K', 'R': 'Y', 'W': 'W', 'S': 'S', 'Y': 'R', 'K': 'M', 'V': 'B', 'H': 'D', 'D': 'H', 'B': 'V', 'X': 'X', 'N': 'N'})", "loop_code": "1: def _makeComplementTable(complementData):\n2: \"\"\"\n3: Make a sequence complement table.\n4:\n5: @param complementData: A C{dict} whose keys and values are strings of\n6: length one. A key, value pair indicates a substitution that should\n7: be performed during complementation.\n8: @return: A 256 character string that can be used as a translation table\n9: by the C{translate} method of a Python string.\n10: \"\"\"\n11: table = list(range(256))\n12: for _from, to in complementData.items():\n13: table[ord(_from[0].lower())] = ord(to[0].lower())\n14: table[ord(_from[0].upper())] = ord(to[0].upper())\n15: return ''.join(map(chr, table))\n16:\n17: _makeComplementTable({'A': 'T', 'C': 'G', 'G': 'C', 'T': 'A', 'M': 'K', 'R': 'Y', 'W': 'W', 'S': 'S', 'Y': 'R', 'K': 'M', 'V': 'B', 'H': 'D', 'D': 'H', 'B': 'V', 'X': 'X', 'N': 'N'})", "question": "What is the value of ' table ' in line '13' after '2' th iteration when '_makeComplementTable({'A': 'T', 'C': 'G', 'G': 'C', 'T': 'A', 'M': 'K', 'R': 'Y', 'W': 'W', 'S': 'S', 'Y': 'R', 'K': 'M', 'V': 'B', 'H': 'D', 'D': 'H', 'B': 'V', 'X': 'X', 'N': 'N'})' is executed?", "answer": " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] ", "variable_assignment": " table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] "} +{"idx": 62, "scratchpad_format": "def test_audioclip_stereo_max_volume(nchannels, channel_muted):\n def make_frame(t): # [STATE] make_frame = .make_frame at 0x7f8c02a8e670> [/STATE]\n frame = []\n # build channels (one of each pair muted)\n for i in range(int(nchannels / 2)):\n if channel_muted == \"left\":\n # if muted channel is left, [0, sound, 0, sound...]\n frame.append(np.sin(t * 0))\n frame.append(np.sin(440 * 2 * np.pi * t))\n else:\n # if muted channel is right, [sound, 0, sound, 0...]\n frame.append(np.sin(440 * 2 * np.pi * t))\n frame.append(np.sin(t * 0))\n return np.array(frame).T\n\n clip = AudioClip(make_frame, fps=44100, duration=1) # [STATE] clip = {start=0, end=1, duration=1, memoize=False, memoized_t=None, memoized_frame=None, fps=44100, nchannels=2} [/STATE]\n max_volume = clip.max_volume(stereo=True) # [STATE] max_volume = array([0. , 0.99999975]) [/STATE]\n # if `stereo == True`, `AudioClip.max_volume` returns a Numpy array`\n assert isinstance(max_volume, np.ndarray) # [STATE] @py_assert3 = None [/STATE] # [STATE] @py_assert5 = None [/STATE]\n assert len(max_volume) == nchannels # [STATE] @py_assert2 = None [/STATE] # [STATE] @py_assert4 = None [/STATE]\n\n # check channels muted and with sound\n for i, channel_max_volume in enumerate(max_volume): # [STATE] i = 0 [/STATE] [STATE] channel_max_volume = 0.0 [/STATE] [STATE] i = 1 [/STATE] [STATE] channel_max_volume = 0.999999746257887 [/STATE]\n if i % 2 == 0:\n if channel_muted == \"left\":\n assert channel_max_volume == 0 # [STATE] @py_assert1 = None [/STATE]\n else:\n assert channel_max_volume > 0\n else:\n if channel_muted == \"right\":\n assert channel_max_volume == 0\n else:\n assert channel_max_volume > 0\n\ntest_audioclip_stereo_max_volume(2, 'left')", "loop_code": "1: def test_audioclip_stereo_max_volume(nchannels, channel_muted):\n2: def make_frame(t):\n3: frame = []\n4: # build channels (one of each pair muted)\n5: for i in range(int(nchannels / 2)):\n6: if channel_muted == \"left\":\n7: # if muted channel is left, [0, sound, 0, sound...]\n8: frame.append(np.sin(t * 0))\n9: frame.append(np.sin(440 * 2 * np.pi * t))\n10: else:\n11: # if muted channel is right, [sound, 0, sound, 0...]\n12: frame.append(np.sin(440 * 2 * np.pi * t))\n13: frame.append(np.sin(t * 0))\n14: return np.array(frame).T\n15:\n16: clip = AudioClip(make_frame, fps=44100, duration=1)\n17: max_volume = clip.max_volume(stereo=True)\n18: # if `stereo == True`, `AudioClip.max_volume` returns a Numpy array`\n19: assert isinstance(max_volume, np.ndarray)\n20: assert len(max_volume) == nchannels\n21:\n22: # check channels muted and with sound\n23: for i, channel_max_volume in enumerate(max_volume):\n24: if i % 2 == 0:\n25: if channel_muted == \"left\":\n26: assert channel_max_volume == 0\n27: else:\n28: assert channel_max_volume > 0\n29: else:\n30: if channel_muted == \"right\":\n31: assert channel_max_volume == 0\n32: else:\n33: assert channel_max_volume > 0\n34:\n35: test_audioclip_stereo_max_volume(2, 'left')", "question": "What is the value of ' table ' in line '13' after '2' th iteration when 'test_audioclip_stereo_max_volume(2, 'left')' is executed?", "answer": " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] ", "variable_assignment": " table = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 84, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 116, 98, 103, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255] "} +{"idx": 63, "scratchpad_format": "def find_extension(codec):\n \"\"\"Returns the correspondent file extension for a codec.\n\n Parameters\n ----------\n\n codec : str\n Video or audio codec name.\n \"\"\"\n if codec in extensions_dict:\n # codec is already the extension\n return codec\n\n for ext, infos in extensions_dict.items(): # [STATE] ext = 'mp4' [/STATE] [STATE] infos = {'type': 'video', 'codec': ['libx264', 'libmpeg4', 'aac']} [/STATE] [STATE] ext = 'mkv' [/STATE] [STATE] ext = 'ogv' [/STATE] [STATE] infos = {'type': 'video', 'codec': ['libtheora']} [/STATE] [STATE] ext = 'webm' [/STATE] [STATE] infos = {'type': 'video', 'codec': ['libvpx']} [/STATE] [STATE] ext = 'avi' [/STATE] [STATE] infos = {'type': 'video'} [/STATE] [STATE] ext = 'mov' [/STATE] [STATE] ext = 'ogg' [/STATE] [STATE] infos = {'type': 'audio', 'codec': ['libvorbis']} [/STATE] [STATE] ext = 'mp3' [/STATE] [STATE] infos = {'type': 'audio', 'codec': ['libmp3lame']} [/STATE]\n if codec in infos.get(\"codec\", []):\n return ext\n raise ValueError(\n \"The audio_codec you chose is unknown by MoviePy. \"\n \"You should report this. In the meantime, you can \"\n \"specify a temp_audiofile with the right extension \"\n \"in write_videofile.\"\n )\n\nfind_extension('libmp3lame')", "loop_code": "1: def find_extension(codec):\n2: \"\"\"Returns the correspondent file extension for a codec.\n3:\n4: Parameters\n5: ----------\n6:\n7: codec : str\n8: Video or audio codec name.\n9: \"\"\"\n10: if codec in extensions_dict:\n11: # codec is already the extension\n12: return codec\n13:\n14: for ext, infos in extensions_dict.items():\n15: if codec in infos.get(\"codec\", []):\n16: return ext\n17: raise ValueError(\n18: \"The audio_codec you chose is unknown by MoviePy. \"\n19: \"You should report this. In the meantime, you can \"\n20: \"specify a temp_audiofile with the right extension \"\n21: \"in write_videofile.\"\n22: )\n23:\n24: find_extension('libmp3lame')", "question": "What is the value of ' ext ' in line '14' after '6' th iteration when 'find_extension('libmp3lame')' is executed?", "answer": " 'webm' ", "variable_assignment": " ext = 'webm' "} +{"idx": 64, "scratchpad_format": "def version_compare(v1, v2):\n \"\"\"Returns -1 if v1 is older than v2, 0 if v1 == v2, and +1 if v1 > v2.\"\"\"\n\n arr1 = v1.split(\".\") # [STATE] arr1 = ['3', '8', '18'] [/STATE]\n arr2 = v2.split(\".\") # [STATE] arr2 = ['3', '8', '27'] [/STATE]\n n = len(arr1) # [STATE] n = 3 [/STATE]\n m = len(arr2) # [STATE] m = 3 [/STATE]\n\n # converts to integer from string\n arr1 = [int(i) for i in arr1] # [STATE] arr1 = [3, 8, 18] [/STATE]\n arr2 = [int(i) for i in arr2] # [STATE] arr2 = [3, 8, 27] [/STATE]\n\n # compares which list is bigger and fills\n # smaller list with zero (for unequal delimeters)\n if n > m:\n for i in range(m, n):\n arr2.append(0)\n elif m > n:\n for i in range(n, m):\n arr1.append(0)\n\n # returns 1 if version 1 is bigger and -1 if\n # version 2 is bigger and 0 if equal\n for i in range(len(arr1)): # [STATE] i = 0 [/STATE] [STATE] i = 1 [/STATE] [STATE] i = 2 [/STATE]\n if arr1[i] > arr2[i]:\n return 1\n elif arr2[i] > arr1[i]:\n return -1\n return 0\n\nversion_compare('3.8.18', '3.8.27')", "loop_code": "1: def version_compare(v1, v2):\n2: \"\"\"Returns -1 if v1 is older than v2, 0 if v1 == v2, and +1 if v1 > v2.\"\"\"\n3:\n4: arr1 = v1.split(\".\")\n5: arr2 = v2.split(\".\")\n6: n = len(arr1)\n7: m = len(arr2)\n8:\n9: # converts to integer from string\n10: arr1 = [int(i) for i in arr1]\n11: arr2 = [int(i) for i in arr2]\n12:\n13: # compares which list is bigger and fills\n14: # smaller list with zero (for unequal delimeters)\n15: if n > m:\n16: for i in range(m, n):\n17: arr2.append(0)\n18: elif m > n:\n19: for i in range(n, m):\n20: arr1.append(0)\n21:\n22: # returns 1 if version 1 is bigger and -1 if\n23: # version 2 is bigger and 0 if equal\n24: for i in range(len(arr1)):\n25: if arr1[i] > arr2[i]:\n26: return 1\n27: elif arr2[i] > arr1[i]:\n28: return -1\n29: return 0\n30:\n31: version_compare('3.8.18', '3.8.27')", "question": "What is the value of ' ext ' in line '14' after '6' th iteration when 'version_compare('3.8.18', '3.8.27')' is executed?", "answer": " 'webm' ", "variable_assignment": " ext = 'webm' "} +{"idx": 65, "scratchpad_format": "def _validate_htype_overwrites(htype: str, htype_overwrite: dict):\n \"\"\"Raises errors if ``htype_overwrite`` has invalid keys or was missing required values.\"\"\"\n\n defaults = HTYPE_CONFIGURATIONS[htype] # [STATE] defaults = {'dtype': None, 'sample_compression': None, 'chunk_compression': None, 'typestr': None, 'max_chunk_size': None, 'tiling_threshold': None, 'is_sequence': False, 'is_link': False, 'hidden': False, 'links': None, 'verify': False} [/STATE]\n\n for key, value in htype_overwrite.items(): # [STATE] key = 'sample_compression' [/STATE] [STATE] value = 'unspecified' [/STATE] [STATE] key = 'chunk_compression' [/STATE] [STATE] key = 'dtype' [/STATE] [STATE] value = 'int64' [/STATE] [STATE] key = 'hidden' [/STATE] [STATE] value = True [/STATE] [STATE] key = 'max_chunk_size' [/STATE] [STATE] value = 4000000 [/STATE] [STATE] key = 'is_sequence' [/STATE] [STATE] value = False [/STATE] [STATE] key = 'is_link' [/STATE] [STATE] key = 'verify' [/STATE]\n if key not in defaults:\n raise TensorMetaInvalidHtypeOverwriteKey(htype, key, list(defaults.keys()))\n\n if isinstance(value, str) and value == UNSPECIFIED:\n if defaults[key] == REQUIRE_USER_SPECIFICATION:\n raise TensorMetaMissingRequiredValue(htype, key)\n\n sc = htype_overwrite[\"sample_compression\"] # [STATE] sc = 'unspecified' [/STATE]\n cc = htype_overwrite[\"chunk_compression\"] # [STATE] cc = 'unspecified' [/STATE]\n compr = sc if cc in (None, UNSPECIFIED) else cc # [STATE] compr = 'unspecified' [/STATE]\n actual_htype = f\"link[{htype}]\" if htype_overwrite[\"is_link\"] else htype # [STATE] actual_htype = 'generic' [/STATE]\n if htype.startswith(\"image\") and sc == UNSPECIFIED and cc == UNSPECIFIED:\n raise TensorMetaMissingRequiredValue(\n actual_htype, [\"chunk_compression\", \"sample_compression\"] # type: ignore\n )\n if htype in (\"audio\", \"video\", \"point_cloud\", \"mesh\", \"nifti\"):\n if cc not in (UNSPECIFIED, None):\n raise UnsupportedCompressionError(\"Chunk compression\", htype=htype)\n elif sc == UNSPECIFIED:\n raise TensorMetaMissingRequiredValue(\n actual_htype, \"sample_compression\" # type: ignore\n )\n supported_compressions = HTYPE_SUPPORTED_COMPRESSIONS.get(htype) # [STATE] supported_compressions = None [/STATE]\n if (\n compr\n and compr != UNSPECIFIED\n and supported_compressions\n and compr not in supported_compressions\n ):\n raise UnsupportedCompressionError(compr, htype=htype)\n\n_validate_htype_overwrites('generic', {'sample_compression': 'unspecified', 'chunk_compression': 'unspecified', 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True})", "loop_code": "1: def _validate_htype_overwrites(htype: str, htype_overwrite: dict):\n2: \"\"\"Raises errors if ``htype_overwrite`` has invalid keys or was missing required values.\"\"\"\n3:\n4: defaults = HTYPE_CONFIGURATIONS[htype]\n5:\n6: for key, value in htype_overwrite.items():\n7: if key not in defaults:\n8: raise TensorMetaInvalidHtypeOverwriteKey(htype, key, list(defaults.keys()))\n9:\n10: if isinstance(value, str) and value == UNSPECIFIED:\n11: if defaults[key] == REQUIRE_USER_SPECIFICATION:\n12: raise TensorMetaMissingRequiredValue(htype, key)\n13:\n14: sc = htype_overwrite[\"sample_compression\"]\n15: cc = htype_overwrite[\"chunk_compression\"]\n16: compr = sc if cc in (None, UNSPECIFIED) else cc\n17: actual_htype = f\"link[{htype}]\" if htype_overwrite[\"is_link\"] else htype\n18: if htype.startswith(\"image\") and sc == UNSPECIFIED and cc == UNSPECIFIED:\n19: raise TensorMetaMissingRequiredValue(\n20: actual_htype, [\"chunk_compression\", \"sample_compression\"] # type: ignore\n21: )\n22: if htype in (\"audio\", \"video\", \"point_cloud\", \"mesh\", \"nifti\"):\n23: if cc not in (UNSPECIFIED, None):\n24: raise UnsupportedCompressionError(\"Chunk compression\", htype=htype)\n25: elif sc == UNSPECIFIED:\n26: raise TensorMetaMissingRequiredValue(\n27: actual_htype, \"sample_compression\" # type: ignore\n28: )\n29: supported_compressions = HTYPE_SUPPORTED_COMPRESSIONS.get(htype)\n30: if (\n31: compr\n32: and compr != UNSPECIFIED\n33: and supported_compressions\n34: and compr not in supported_compressions\n35: ):\n36: raise UnsupportedCompressionError(compr, htype=htype)\n37:\n38: _validate_htype_overwrites('generic', {'sample_compression': 'unspecified', 'chunk_compression': 'unspecified', 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True})", "question": "What is the value of ' key ' in line '6' after '4' th iteration when '_validate_htype_overwrites('generic', {'sample_compression': 'unspecified', 'chunk_compression': 'unspecified', 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True})' is executed?", "answer": " 'dtype' ", "variable_assignment": " key = 'dtype' "} +{"idx": 66, "scratchpad_format": "def _replace_unspecified_values(htype: str, htype_overwrite: dict):\n \"\"\"Replaces ``UNSPECIFIED`` values in ``htype_overwrite`` with the ``htype``'s defaults.\"\"\"\n\n defaults = HTYPE_CONFIGURATIONS[htype] # [STATE] defaults = {'dtype': None, 'sample_compression': None, 'chunk_compression': None, 'typestr': None, 'max_chunk_size': None, 'tiling_threshold': None, 'is_sequence': False, 'is_link': False, 'hidden': False, 'links': None, 'verify': False} [/STATE]\n\n for k, v in htype_overwrite.items(): # [STATE] k = 'sample_compression' [/STATE] [STATE] v = 'unspecified' [/STATE] [STATE] k = 'chunk_compression' [/STATE] [STATE] k = 'dtype' [/STATE] [STATE] v = 'int64' [/STATE] [STATE] k = 'hidden' [/STATE] [STATE] v = True [/STATE] [STATE] k = 'max_chunk_size' [/STATE] [STATE] v = 4000000 [/STATE] [STATE] k = 'is_sequence' [/STATE] [STATE] v = False [/STATE] [STATE] k = 'is_link' [/STATE] [STATE] k = 'verify' [/STATE]\n if isinstance(v, str) and v == UNSPECIFIED:\n htype_overwrite[k] = defaults[k] # [STATE] htype_overwrite = {'sample_compression': None, 'chunk_compression': 'unspecified', 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True} [/STATE] [STATE] htype_overwrite = {'sample_compression': None, 'chunk_compression': None, 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True} [/STATE]\n\n if htype in (\"json\", \"list\", \"text\", \"intrinsics\") and not htype_overwrite[\"dtype\"]:\n htype_overwrite[\"dtype\"] = HTYPE_CONFIGURATIONS[htype][\"dtype\"]\n\n_replace_unspecified_values('generic', {'sample_compression': 'unspecified', 'chunk_compression': 'unspecified', 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True})", "loop_code": "1: def _replace_unspecified_values(htype: str, htype_overwrite: dict):\n2: \"\"\"Replaces ``UNSPECIFIED`` values in ``htype_overwrite`` with the ``htype``'s defaults.\"\"\"\n3:\n4: defaults = HTYPE_CONFIGURATIONS[htype]\n5:\n6: for k, v in htype_overwrite.items():\n7: if isinstance(v, str) and v == UNSPECIFIED:\n8: htype_overwrite[k] = defaults[k]\n9:\n10: if htype in (\"json\", \"list\", \"text\", \"intrinsics\") and not htype_overwrite[\"dtype\"]:\n11: htype_overwrite[\"dtype\"] = HTYPE_CONFIGURATIONS[htype][\"dtype\"]\n12:\n13: _replace_unspecified_values('generic', {'sample_compression': 'unspecified', 'chunk_compression': 'unspecified', 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True})", "question": "What is the value of ' htype_overwrite ' in line '8' after '2' th iteration when '_replace_unspecified_values('generic', {'sample_compression': 'unspecified', 'chunk_compression': 'unspecified', 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True})' is executed?", "answer": " {'sample_compression': None, 'chunk_compression': None, 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True} ", "variable_assignment": " htype_overwrite = {'sample_compression': None, 'chunk_compression': None, 'dtype': 'int64', 'hidden': True, 'max_chunk_size': 4000000, 'is_sequence': False, 'is_link': False, 'verify': True} "} +{"idx": 67, "scratchpad_format": "def move_is_sublist(letter_list_1, letter_list_2):\n letter_counter_1 = collections.Counter(letter_list_1) # [STATE] letter_counter_1 = Counter({1: 1, 2: 1, 3: 1}) [/STATE]\n letter_counter_2 = collections.Counter(letter_list_2) # [STATE] letter_counter_2 = Counter({1: 1, 2: 1, 3: 1, 4: 1}) [/STATE]\n for letter, cardinality in letter_counter_1.items(): # [STATE] letter = 1 [/STATE] [STATE] cardinality = 1 [/STATE] [STATE] letter = 2 [/STATE] [STATE] letter = 3 [/STATE]\n if cardinality > letter_counter_2[letter]:\n # print('Not enough {} tiles in rack.'.format(letter))\n return False\n\n return True\n\nmove_is_sublist([1, 2, 3], [1, 2, 3, 4])", "loop_code": "1: def move_is_sublist(letter_list_1, letter_list_2):\n2: letter_counter_1 = collections.Counter(letter_list_1)\n3: letter_counter_2 = collections.Counter(letter_list_2)\n4: for letter, cardinality in letter_counter_1.items():\n5: if cardinality > letter_counter_2[letter]:\n6: # print('Not enough {} tiles in rack.'.format(letter))\n7: return False\n8:\n9: return True\n10:\n11: move_is_sublist([1, 2, 3], [1, 2, 3, 4])", "question": "What is the value of ' letter ' in line '4' after '1' th iteration when 'move_is_sublist([1, 2, 3], [1, 2, 3, 4])' is executed?", "answer": " 1 ", "variable_assignment": " letter = 1 "} +{"idx": 68, "scratchpad_format": "def get_word_letter_location_set(word, start_location, is_vertical_move):\n letter_location_set = set() # [STATE] letter_location_set = set() [/STATE]\n next_location_func = get_next_location_function( # [STATE] next_location_func = . at 0x7feb6dd68f70> [/STATE]\n use_positive_seek=True,\n use_vertical_words=is_vertical_move\n )\n\n current_location = start_location # [STATE] current_location = ('h', 8) [/STATE]\n word_iterator = iter(word) # [STATE] word_iterator = REPR FAILED [/STATE]\n for character in word_iterator: # [STATE] character = 'B' [/STATE] [STATE] character = 'A' [/STATE] [STATE] character = 'K' [/STATE] [STATE] character = 'E' [/STATE] [STATE] character = 'R' [/STATE]\n if character == '(': # characters in parenthesis are existing tiles\n character = next(word_iterator, None)\n while character != ')':\n current_location = next_location_func(current_location)\n character = next(word_iterator, None)\n\n character = next(word_iterator, None)\n\n if character:\n letter_location_set.add((character, current_location)) # [STATE] letter_location_set = {('B', ('h', 8))} [/STATE] [STATE] letter_location_set = {('B', ('h', 8)), ('A', ('i', 8))} [/STATE] [STATE] letter_location_set = {('K', ('j', 8)), ('B', ('h', 8)), ('A', ('i', 8))} [/STATE] [STATE] letter_location_set = {('K', ('j', 8)), ('B', ('h', 8)), ('E', ('k', 8)), ('A', ('i', 8))} [/STATE] [STATE] letter_location_set = {('K', ('j', 8)), ('B', ('h', 8)), ('A', ('i', 8)), ('E', ('k', 8)), ('R', ('l', 8))} [/STATE]\n current_location = next_location_func(current_location) # [STATE] current_location = ('i', 8) [/STATE] [STATE] current_location = ('j', 8) [/STATE] [STATE] current_location = ('k', 8) [/STATE] [STATE] current_location = ('l', 8) [/STATE] [STATE] current_location = ('m', 8) [/STATE]\n\n return letter_location_set\n\nget_word_letter_location_set('BAKER', ('h', 8), False)", "loop_code": "1: def get_word_letter_location_set(word, start_location, is_vertical_move):\n2: letter_location_set = set()\n3: next_location_func = get_next_location_function(\n4: use_positive_seek=True,\n5: use_vertical_words=is_vertical_move\n6: )\n7:\n8: current_location = start_location\n9: word_iterator = iter(word)\n10: for character in word_iterator:\n11: if character == '(': # characters in parenthesis are existing tiles\n12: character = next(word_iterator, None)\n13: while character != ')':\n14: current_location = next_location_func(current_location)\n15: character = next(word_iterator, None)\n16:\n17: character = next(word_iterator, None)\n18:\n19: if character:\n20: letter_location_set.add((character, current_location))\n21: current_location = next_location_func(current_location)\n22:\n23: return letter_location_set\n24:\n25: get_word_letter_location_set('BAKER', ('h', 8), False)", "question": "What is the value of ' letter_location_set ' in line '20' after '5' th iteration when 'get_word_letter_location_set('BAKER', ('h', 8), False)' is executed?", "answer": " {('K', ('j', 8)), ('B', ('h', 8)), ('A', ('i', 8)), ('E', ('k', 8)), ('R', ('l', 8))} ", "variable_assignment": " letter_location_set = {('K', ('j', 8)), ('B', ('h', 8)), ('A', ('i', 8)), ('E', ('k', 8)), ('R', ('l', 8))} "} +{"idx": 69, "scratchpad_format": "def move_is_not_out_of_bounds(location_set):\n for location in location_set: # [STATE] location = ('j', 8) [/STATE] [STATE] location = ('l', 8) [/STATE] [STATE] location = ('h', 8) [/STATE] [STATE] location = ('i', 8) [/STATE] [STATE] location = ('k', 8) [/STATE]\n if location_is_out_of_bounds(location):\n # print('Move location {} is out of bounds'.format(location))\n return False\n\n return True\n\nmove_is_not_out_of_bounds({('j', 8), ('l', 8), ('h', 8), ('i', 8), ('k', 8)})", "loop_code": "1: def move_is_not_out_of_bounds(location_set):\n2: for location in location_set:\n3: if location_is_out_of_bounds(location):\n4: # print('Move location {} is out of bounds'.format(location))\n5: return False\n6:\n7: return True\n8:\n9: move_is_not_out_of_bounds({('j', 8), ('l', 8), ('h', 8), ('i', 8), ('k', 8)})", "question": "What is the value of ' location ' in line '2' after '5' th iteration when 'move_is_not_out_of_bounds({('j', 8), ('l', 8), ('h', 8), ('i', 8), ('k', 8)})' is executed?", "answer": " ('k', 8) ", "variable_assignment": " location = ('k', 8) "} +{"idx": 70, "scratchpad_format": "def find_prev_keyword(sql):\n \"\"\" Find the last sql keyword in an SQL statement\n\n Returns the value of the last keyword, and the text of the query with\n everything after the last keyword stripped\n \"\"\"\n if not sql.strip():\n return None, ''\n\n parsed = sqlparse.parse(sql)[0] # [STATE] parsed = [/STATE]\n flattened = list(parsed.flatten()) # [STATE] flattened = [] [/STATE]\n\n logical_operators = ('AND', 'OR', 'NOT', 'BETWEEN') # [STATE] logical_operators = ('AND', 'OR', 'NOT', 'BETWEEN') [/STATE]\n\n for t in reversed(flattened): # [STATE] t = [/STATE]\n if t.value == '(' or (t.is_keyword and (\n t.value.upper() not in logical_operators)):\n # Find the location of token t in the original parsed statement\n # We can't use parsed.token_index(t) because t may be a child token\n # inside a TokenList, in which case token_index thows an error\n # Minimal example:\n # p = sqlparse.parse('select * from foo where bar')\n # t = list(p.flatten())[-3] # The \"Where\" token\n # p.token_index(t) # Throws ValueError: not in list\n idx = flattened.index(t)\n\n # Combine the string values of all tokens in the original list\n # up to and including the target keyword token t, to produce a\n # query string with everything after the keyword token removed\n text = ''.join(tok.value for tok in flattened[:idx+1])\n return t, text\n\n return None, ''\n\nfind_prev_keyword(',')", "loop_code": "1: def find_prev_keyword(sql):\n2: \"\"\" Find the last sql keyword in an SQL statement\n3:\n4: Returns the value of the last keyword, and the text of the query with\n5: everything after the last keyword stripped\n6: \"\"\"\n7: if not sql.strip():\n8: return None, ''\n9:\n10: parsed = sqlparse.parse(sql)[0]\n11: flattened = list(parsed.flatten())\n12:\n13: logical_operators = ('AND', 'OR', 'NOT', 'BETWEEN')\n14:\n15: for t in reversed(flattened):\n16: if t.value == '(' or (t.is_keyword and (\n17: t.value.upper() not in logical_operators)):\n18: # Find the location of token t in the original parsed statement\n19: # We can't use parsed.token_index(t) because t may be a child token\n20: # inside a TokenList, in which case token_index thows an error\n21: # Minimal example:\n22: # p = sqlparse.parse('select * from foo where bar')\n23: # t = list(p.flatten())[-3] # The \"Where\" token\n24: # p.token_index(t) # Throws ValueError: not in list\n25: idx = flattened.index(t)\n26:\n27: # Combine the string values of all tokens in the original list\n28: # up to and including the target keyword token t, to produce a\n29: # query string with everything after the keyword token removed\n30: text = ''.join(tok.value for tok in flattened[:idx+1])\n31: return t, text\n32:\n33: return None, ''\n34:\n35: find_prev_keyword(',')", "question": "What is the value of ' t ' in line '15' after '1' th iteration when 'find_prev_keyword(',')' is executed?", "answer": " ", "variable_assignment": " t = "} +{"idx": 71, "scratchpad_format": "def format_uptime(uptime_in_seconds):\n \"\"\"Format number of seconds into human-readable string.\n\n :param uptime_in_seconds: The server uptime in seconds.\n :returns: A human-readable string representing the uptime.\n\n >>> uptime = format_uptime('56892')\n >>> print(uptime)\n 15 hours 48 min 12 sec\n \"\"\"\n\n m, s = divmod(int(uptime_in_seconds), 60) # [STATE] m = 0 [/STATE] # [STATE] s = 59 [/STATE]\n h, m = divmod(m, 60) # [STATE] h = 0 [/STATE]\n d, h = divmod(h, 24) # [STATE] d = 0 [/STATE]\n\n uptime_values = [] # [STATE] uptime_values = [] [/STATE]\n\n for value, unit in ((d, 'days'), (h, 'hours'), (m, 'min'), (s, 'sec')): # [STATE] value = 0 [/STATE] [STATE] unit = 'days' [/STATE] [STATE] unit = 'hours' [/STATE] [STATE] unit = 'min' [/STATE] [STATE] value = 59 [/STATE] [STATE] unit = 'sec' [/STATE]\n if value == 0 and not uptime_values:\n # Don't include a value/unit if the unit isn't applicable to\n # the uptime. E.g. don't do 0 days 0 hours 1 min 30 sec.\n continue\n elif value == 1 and unit.endswith('s'):\n # Remove the \"s\" if the unit is singular.\n unit = unit[:-1]\n uptime_values.append('{0} {1}'.format(value, unit)) # [STATE] uptime_values = ['59 sec'] [/STATE]\n\n uptime = ' '.join(uptime_values) # [STATE] uptime = '59 sec' [/STATE]\n return uptime\n\nformat_uptime(59)", "loop_code": "1: def format_uptime(uptime_in_seconds):\n2: \"\"\"Format number of seconds into human-readable string.\n3:\n4: :param uptime_in_seconds: The server uptime in seconds.\n5: :returns: A human-readable string representing the uptime.\n6:\n7: >>> uptime = format_uptime('56892')\n8: >>> print(uptime)\n9: 15 hours 48 min 12 sec\n10: \"\"\"\n11:\n12: m, s = divmod(int(uptime_in_seconds), 60)\n13: h, m = divmod(m, 60)\n14: d, h = divmod(h, 24)\n15:\n16: uptime_values = []\n17:\n18: for value, unit in ((d, 'days'), (h, 'hours'), (m, 'min'), (s, 'sec')):\n19: if value == 0 and not uptime_values:\n20: # Don't include a value/unit if the unit isn't applicable to\n21: # the uptime. E.g. don't do 0 days 0 hours 1 min 30 sec.\n22: continue\n23: elif value == 1 and unit.endswith('s'):\n24: # Remove the \"s\" if the unit is singular.\n25: unit = unit[:-1]\n26: uptime_values.append('{0} {1}'.format(value, unit))\n27:\n28: uptime = ' '.join(uptime_values)\n29: return uptime\n30:\n31: format_uptime(59)", "question": "What is the value of ' uptime_values ' in line '26' after '1' th iteration when 'format_uptime(59)' is executed?", "answer": " ['59 sec'] ", "variable_assignment": " uptime_values = ['59 sec'] "} +{"idx": 72, "scratchpad_format": "def contains_nan(stack: MutableSequence[NumberOrArray]) -> bool:\n for item in stack: # [STATE] item = -2 [/STATE]\n try:\n if math.isnan(item):\n return True\n except TypeError:\n pass\n return False\n\ncontains_nan([-2])", "loop_code": "1: def contains_nan(stack: MutableSequence[NumberOrArray]) -> bool:\n2: for item in stack:\n3: try:\n4: if math.isnan(item):\n5: return True\n6: except TypeError:\n7: pass\n8: return False\n9:\n10: contains_nan([-2])", "question": "What is the value of ' item ' in line '2' after '1' th iteration when 'contains_nan([-2])' is executed?", "answer": " -2 ", "variable_assignment": " item = -2 "} +{"idx": 73, "scratchpad_format": "def contains_array(stack: MutableSequence[NumberOrArray]) -> bool:\n for item in stack: # [STATE] item = -2 [/STATE]\n if isinstance(item, np.ndarray):\n return True\n return False\n\ncontains_array([-2])", "loop_code": "1: def contains_array(stack: MutableSequence[NumberOrArray]) -> bool:\n2: for item in stack:\n3: if isinstance(item, np.ndarray):\n4: return True\n5: return False\n6:\n7: contains_array([-2])", "question": "What is the value of ' item ' in line '2' after '1' th iteration when 'contains_array([-2])' is executed?", "answer": " -2 ", "variable_assignment": " item = -2 "} +{"idx": 74, "scratchpad_format": "def import_all_modules(root: str, base_module: str) -> List[str]:\n modules: List[str] = [] # [STATE] modules = [] [/STATE]\n for file in os.listdir(root): # [STATE] file = 'feature_maps' [/STATE] [STATE] file = 'global_tokens.py' [/STATE] [STATE] file = 'lambda_layer.py' [/STATE] [STATE] file = 'pooling.py' [/STATE] [STATE] file = 'core.py' [/STATE] [STATE] file = 'visual.py' [/STATE] [STATE] file = 'nystrom.py' [/STATE] [STATE] file = 'attention_patterns.py' [/STATE] [STATE] file = '_sputnik_sparse.py' [/STATE] [STATE] file = 'sparsity_config.py' [/STATE] [STATE] file = 'scaled_dot_product.py' [/STATE] [STATE] file = 'compositional.py' [/STATE] [STATE] file = 'attention_mask.py' [/STATE] [STATE] file = 'local.py' [/STATE] [STATE] file = '__pycache__' [/STATE] [STATE] file = 'utils.py' [/STATE] [STATE] file = 'linformer.py' [/STATE] [STATE] file = '__init__.py' [/STATE] [STATE] file = 'favor.py' [/STATE] [STATE] file = 'base.py' [/STATE] [STATE] file = 'random.py' [/STATE]\n if file.endswith((\".py\", \".pyc\")) and not file.startswith(\"_\"):\n module = file[: file.find(\".py\")] # [STATE] module = 'global_tokens' [/STATE] [STATE] module = 'lambda_layer' [/STATE] [STATE] module = 'pooling' [/STATE] [STATE] module = 'core' [/STATE] [STATE] module = 'visual' [/STATE] [STATE] module = 'nystrom' [/STATE] [STATE] module = 'attention_patterns' [/STATE] [STATE] module = 'sparsity_config' [/STATE] [STATE] module = 'scaled_dot_product' [/STATE] [STATE] module = 'compositional' [/STATE] [STATE] module = 'attention_mask' [/STATE] [STATE] module = 'local' [/STATE] [STATE] module = 'utils' [/STATE] [STATE] module = 'linformer' [/STATE] [STATE] module = 'favor' [/STATE] [STATE] module = 'base' [/STATE] [STATE] module = 'random' [/STATE] [STATE] module = 'blocksparse' [/STATE] [STATE] module = 'ortho' [/STATE] [STATE] module = 'fourier_mix' [/STATE]\n if module not in sys.modules:\n module_name = \".\".join([base_module, module]) # [STATE] module_name = 'xformers.components.attention.global_tokens' [/STATE] [STATE] module_name = 'xformers.components.attention.lambda_layer' [/STATE] [STATE] module_name = 'xformers.components.attention.pooling' [/STATE] [STATE] module_name = 'xformers.components.attention.core' [/STATE] [STATE] module_name = 'xformers.components.attention.visual' [/STATE] [STATE] module_name = 'xformers.components.attention.nystrom' [/STATE] [STATE] module_name = 'xformers.components.attention.attention_patterns' [/STATE] [STATE] module_name = 'xformers.components.attention.sparsity_config' [/STATE] [STATE] module_name = 'xformers.components.attention.scaled_dot_product' [/STATE] [STATE] module_name = 'xformers.components.attention.compositional' [/STATE] [STATE] module_name = 'xformers.components.attention.attention_mask' [/STATE] [STATE] module_name = 'xformers.components.attention.local' [/STATE] [STATE] module_name = 'xformers.components.attention.utils' [/STATE] [STATE] module_name = 'xformers.components.attention.linformer' [/STATE] [STATE] module_name = 'xformers.components.attention.favor' [/STATE] [STATE] module_name = 'xformers.components.attention.base' [/STATE] [STATE] module_name = 'xformers.components.attention.blocksparse' [/STATE] [STATE] module_name = 'xformers.components.attention.ortho' [/STATE] [STATE] module_name = 'xformers.components.attention.fourier_mix' [/STATE]\n importlib.import_module(module_name)\n modules.append(module_name) # [STATE] modules = ['xformers.components.attention.global_tokens'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional', 'xformers.components.attention.attention_mask'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional', 'xformers.components.attention.attention_mask', 'xformers.components.attention.local'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional', 'xformers.components.attention.attention_mask', 'xformers.components.attention.local', 'xformers.components.attention.utils'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional', 'xformers.components.attention.attention_mask', 'xformers.components.attention.local', 'xformers.components.attention.utils', 'xformers.components.attention.linformer'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional', 'xformers.components.attention.attention_mask', 'xformers.components.attention.local', 'xformers.components.attention.utils', 'xformers.components.attention.linformer', 'xformers.components.attention.favor'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional', 'xformers.components.attention.attention_mask', 'xformers.components.attention.local', 'xformers.components.attention.utils', 'xformers.components.attention.linformer', 'xformers.components.attention.favor', 'xformers.components.attention.base'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional', 'xformers.components.attention.attention_mask', 'xformers.components.attention.local', 'xformers.components.attention.utils', 'xformers.components.attention.linformer', 'xformers.components.attention.favor', 'xformers.components.attention.base', 'xformers.components.attention.blocksparse'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional', 'xformers.components.attention.attention_mask', 'xformers.components.attention.local', 'xformers.components.attention.utils', 'xformers.components.attention.linformer', 'xformers.components.attention.favor', 'xformers.components.attention.base', 'xformers.components.attention.blocksparse', 'xformers.components.attention.ortho'] [/STATE] [STATE] modules = ['xformers.components.attention.global_tokens', 'xformers.components.attention.lambda_layer', 'xformers.components.attention.pooling', 'xformers.components.attention.core', 'xformers.components.attention.visual', 'xformers.components.attention.nystrom', 'xformers.components.attention.attention_patterns', 'xformers.components.attention.sparsity_config', 'xformers.components.attention.scaled_dot_product', 'xformers.components.attention.compositional', 'xformers.components.attention.attention_mask', 'xformers.components.attention.local', 'xformers.components.attention.utils', 'xformers.components.attention.linformer', 'xformers.components.attention.favor', 'xformers.components.attention.base', 'xformers.components.attention.blocksparse', 'xformers.components.attention.ortho', 'xformers.components.attention.fourier_mix'] [/STATE]\n\n return modules\n\nimport_all_modules('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/facebookresearch+xformers/facebookresearch+xformers/xformers/components/attention', 'xformers.components.attention')", "loop_code": "1: def import_all_modules(root: str, base_module: str) -> List[str]:\n2: modules: List[str] = []\n3: for file in os.listdir(root):\n4: if file.endswith((\".py\", \".pyc\")) and not file.startswith(\"_\"):\n5: module = file[: file.find(\".py\")]\n6: if module not in sys.modules:\n7: module_name = \".\".join([base_module, module])\n8: importlib.import_module(module_name)\n9: modules.append(module_name)\n10:\n11: return modules\n12:\n13: import_all_modules('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/facebookresearch+xformers/facebookresearch+xformers/xformers/components/attention', 'xformers.components.attention')", "question": "What is the value of ' module ' in line '5' after '14' th iteration when 'import_all_modules('/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/facebookresearch+xformers/facebookresearch+xformers/xformers/components/attention', 'xformers.components.attention')' is executed?", "answer": " 'linformer' ", "variable_assignment": " module = 'linformer' "} +{"idx": 75, "scratchpad_format": "def expand_attention_types(attention_config, num_layers):\n \"\"\"\n Expands an `attention_config` list in the following format:\n\n [\n [['attention_type_1', ..., `attention_type_n`], 12]\n ]\n\n to a flattened list of length `num_layers`.\n\n :param params_list:\n :return:\n \"\"\"\n # if only strings are found in the config, we assume it's already expanded\n if all([isinstance(i, str) for i in attention_config]):\n return attention_config\n newlist = [] # [STATE] newlist = [] [/STATE]\n for item in attention_config: # [STATE] item = [['global'], 2] [/STATE]\n # instead of specifying a number - we can specify 'all' to extend this pattern across all layers\n if item[1] == \"all\":\n assert num_layers % len(item[0]) == 0, (\n f\"Number of layers ({num_layers}) is not divisible by the length \"\n f\"of pattern: {item[0]}\"\n )\n return item[0] * (num_layers // len(item[0]))\n for _ in range(item[1]): # [STATE] _ = 0 [/STATE] [STATE] _ = 1 [/STATE]\n newlist.extend(item[0]) # [STATE] newlist = ['global'] [/STATE] [STATE] newlist = ['global', 'global'] [/STATE]\n return newlist\n\nexpand_attention_types([[['global'], 2]], 2)", "loop_code": "1: def expand_attention_types(attention_config, num_layers):\n2: \"\"\"\n3: Expands an `attention_config` list in the following format:\n4:\n5: [\n6: [['attention_type_1', ..., `attention_type_n`], 12]\n7: ]\n8:\n9: to a flattened list of length `num_layers`.\n10:\n11: :param params_list:\n12: :return:\n13: \"\"\"\n14: # if only strings are found in the config, we assume it's already expanded\n15: if all([isinstance(i, str) for i in attention_config]):\n16: return attention_config\n17: newlist = []\n18: for item in attention_config:\n19: # instead of specifying a number - we can specify 'all' to extend this pattern across all layers\n20: if item[1] == \"all\":\n21: assert num_layers % len(item[0]) == 0, (\n22: f\"Number of layers ({num_layers}) is not divisible by the length \"\n23: f\"of pattern: {item[0]}\"\n24: )\n25: return item[0] * (num_layers // len(item[0]))\n26: for _ in range(item[1]):\n27: newlist.extend(item[0])\n28: return newlist\n29:\n30: expand_attention_types([[['global'], 2]], 2)", "question": "What is the value of ' newlist ' in line '27' after '1' th iteration when 'expand_attention_types([[['global'], 2]], 2)' is executed?", "answer": " ['global'] ", "variable_assignment": " newlist = ['global'] "} +{"idx": 76, "scratchpad_format": "def set_up_autotuning(encoded_config, overwrite_values):\n config = json.loads(base64.urlsafe_b64decode(encoded_config).decode(\"utf-8\")) # [STATE] config = {'train_batch_size': 4, 'train_micro_batch_size_per_gpu': 4, 'optimizer': {'type': 'sm3', 'params': {}}, 'fp16': {'type': 'fp16', 'enabled': True}, 'zero_optimization': {'stage': 0, 'allgather_partitions': True, 'reduce_scatter': True, 'allgather_bucket_size': 500000000, 'overlap_comm': False, 'reduce_bucket_size': 500000000, 'contiguous_gradients': False}, 'wall_clock_breakdown': True, 'comms_logger': {'enabled': True, 'verbose': True, 'prof_all': True, 'debug': False}} [/STATE]\n overwrite_values = overwrite_values if overwrite_values else {}\n for tuning_param in AUTOTUNING_ARGS: # [STATE] tuning_param = 'train_batch_size' [/STATE] [STATE] tuning_param = 'train_micro_batch_size_per_gpu' [/STATE] [STATE] tuning_param = 'gradient_accumulation_steps' [/STATE] [STATE] tuning_param = 'zero_optimization' [/STATE] [STATE] tuning_param = 'autotuning' [/STATE]\n # TODO: This is for autotuning specifically, may cause surprises for someone with a weird setup\n if tuning_param in config:\n overwrite_values[tuning_param] = config[tuning_param] # [STATE] overwrite_values = {'train_iters': 32, 'train_batch_size': 4} [/STATE] [STATE] overwrite_values = {'train_iters': 32, 'train_batch_size': 4, 'train_micro_batch_size_per_gpu': 4} [/STATE] [STATE] overwrite_values = {'train_iters': 32, 'train_batch_size': 4, 'train_micro_batch_size_per_gpu': 4, 'zero_optimization': {'stage': 0, 'allgather_partitions': True, 'reduce_scatter': True, 'allgather_bucket_size': 500000000, 'overlap_comm': False, 'reduce_bucket_size': 500000000, 'contiguous_gradients': False}} [/STATE]\n return overwrite_values\n\nset_up_autotuning('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', {'train_iters': 32})", "loop_code": "1: def set_up_autotuning(encoded_config, overwrite_values):\n2: config = json.loads(base64.urlsafe_b64decode(encoded_config).decode(\"utf-8\"))\n3: overwrite_values = overwrite_values if overwrite_values else {}\n4: for tuning_param in AUTOTUNING_ARGS:\n5: # TODO: This is for autotuning specifically, may cause surprises for someone with a weird setup\n6: if tuning_param in config:\n7: overwrite_values[tuning_param] = config[tuning_param]\n8: return overwrite_values\n9:\n10: set_up_autotuning('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', {'train_iters': 32})", "question": "What is the value of ' overwrite_values ' in line '7' after '1' th iteration when 'set_up_autotuning('eyJ0cmFpbl9iYXRjaF9zaXplIjogNCwgInRyYWluX21pY3JvX2JhdGNoX3NpemVfcGVyX2dwdSI6IDQsICJvcHRpbWl6ZXIiOiB7InR5cGUiOiAic20zIiwgInBhcmFtcyI6IHt9fSwgImZwMTYiOiB7InR5cGUiOiAiZnAxNiIsICJlbmFibGVkIjogdHJ1ZX0sICJ6ZXJvX29wdGltaXphdGlvbiI6IHsic3RhZ2UiOiAwLCAiYWxsZ2F0aGVyX3BhcnRpdGlvbnMiOiB0cnVlLCAicmVkdWNlX3NjYXR0ZXIiOiB0cnVlLCAiYWxsZ2F0aGVyX2J1Y2tldF9zaXplIjogNTAwMDAwMDAwLCAib3ZlcmxhcF9jb21tIjogZmFsc2UsICJyZWR1Y2VfYnVja2V0X3NpemUiOiA1MDAwMDAwMDAsICJjb250aWd1b3VzX2dyYWRpZW50cyI6IGZhbHNlfSwgIndhbGxfY2xvY2tfYnJlYWtkb3duIjogdHJ1ZSwgImNvbW1zX2xvZ2dlciI6IHsiZW5hYmxlZCI6IHRydWUsICJ2ZXJib3NlIjogdHJ1ZSwgInByb2ZfYWxsIjogdHJ1ZSwgImRlYnVnIjogZmFsc2V9fQ==', {'train_iters': 32})' is executed?", "answer": " {'train_iters': 32, 'train_batch_size': 4} ", "variable_assignment": " overwrite_values = {'train_iters': 32, 'train_batch_size': 4} "} +{"idx": 77, "scratchpad_format": "def run_neox_args_load_test(yaml_files):\n from megatron.neox_arguments import NeoXArgs # [STATE] NeoXArgs = [/STATE]\n\n yaml_list = get_configs_with_path(yaml_files) # [STATE] yaml_list = ['/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/125M.yml', '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/local_setup.yml', '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/cpu_mock_config.yml'] [/STATE]\n args_loaded = NeoXArgs.from_ymls(yaml_list) # [STATE] args_loaded = NeoXArgs(distributed_backend='nccl', local_rank=None, rank=None, lazy_mpu_init=False, short_seq_prob=0.1, eod_mask_loss=False, adlr_autoresume=False, adlr_autoresume_interval=1000, seed=1234, onnx_safe=False, deepscale=False, deepscale_config=None, deepspeed_mpi=False, deepspeed_slurm=False, user_script=None, iteration=None, do_train=None, do_valid=None, do_test=None, save_iters=[10000, 20000, 30000, 40000, 50000, 60000, 70000, 80000, 90000, 100000, 110000, 120000, 130000, 140000, 150000, 160000, 170000, 180000, 190000, 200000, 210000, 220000, 230000, 240000, 250000, 260000, 270000, 280000, 290000, 300000, 310000], global_num_gpus=1, text_gen_type='unconditional', temperature=0.0, top_p=0.0, top_k=0, return_logits=False, maximum_tokens=64, prompt_end='\\n', sample_input_file=None, sample_output_file='samples.txt', num_samples=1, recompute=False, eval_results_prefix='', eval_tasks=None, use_wandb=True, wandb_group=None, wandb_team=None, wandb_project='neox', wandb_host='https://api.wandb.ai', wandb_init_all_ranks=False, git_hash='7a8fa2f0', log_dir='logs', tensorboard_dir='tensorboard', log_interval=100, log_grad_pct_zeros=False, log_param_norm=False, log_grad_norm=False, log_optimizer_states=False, log_gradient_noise_scale=False, gradient_noise_scale_n_batches=5, gradient_noise_scale_cpu_offload=False, pipe_parallel_size=1, model_parallel_size=1, pipe_partition_method='type:transformer|mlp', world_size=None, is_pipe_parallel=True, data_path='data/enwik8/enwik8_text_document', use_shared_fs=True, train_data_paths=None, label_data_paths=None, test_data_paths=None, valid_data_paths=None, train_data_weights=None, valid_data_weights=None, test_data_weights=None, weight_by_num_documents=False, weighted_sampler_alpha=1.0, data_impl='mmap', mmap_warmup=False, save='checkpoints', s3_path=None, s3_chunk_size=104857600, config_files={'125M.yml': '# GPT-2 pretraining setup\\n{\\n # parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages\\n # across the node boundaries )\\n \"pipe_parallel_size\": 1,\\n \"model_parallel_size\": 1,\\n\\n # model settings\\n \"num_layers\": 12,\\n \"hidden_size\": 768,\\n \"num_attention_heads\": 12,\\n \"seq_length\": 2048,\\n \"max_position_embeddings\": 2048,\\n \"norm\": \"layernorm\",\\n \"pos_emb\": \"rotary\",\\n \"no_weight_tying\": true,\\n \"gpt_j_residual\": false,\\n \"output_layer_parallelism\": \"column\",\\n\\n # these should provide some speedup but takes a while to build, set to true if desired\\n \"scaled_upper_triang_masked_softmax_fusion\": false,\\n \"bias_gelu_fusion\": false,\\n \"rope_fusion\": false,\\n\\n # init methods\\n \"init_method\": \"small_init\",\\n \"output_layer_init_method\": \"wang_init\",\\n\\n\\n # optimizer settings\\n \"optimizer\": {\\n \"type\": \"Adam\",\\n \"params\": {\\n \"lr\": 0.0006,\\n \"betas\": [0.9, 0.95],\\n \"eps\": 1.0e-8,\\n }\\n },\\n \"min_lr\": 0.00006,\\n\\n # for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training\\n \"zero_optimization\": {\\n \"stage\": 1,\\n \"allgather_partitions\": True,\\n \"allgather_bucket_size\": 500000000,\\n \"overlap_comm\": True,\\n \"reduce_scatter\": True,\\n \"reduce_bucket_size\": 500000000,\\n \"contiguous_gradients\": True,\\n },\\n\\n # batch / data settings\\n \"train_micro_batch_size_per_gpu\": 4,\\n \"data_impl\": \"mmap\",\\n\\n # activation checkpointing\\n \"checkpoint_activations\": true,\\n \"checkpoint_num_layers\": 1,\\n \"partition_activations\": true,\\n \"synchronize_each_layer\": true,\\n\\n # regularization\\n \"gradient_clipping\": 1.0,\\n \"weight_decay\": 0.1,\\n \"hidden_dropout\": 0.0,\\n \"attention_dropout\": 0.0,\\n\\n # precision settings\\n \"fp16\": {\\n \"enabled\": true,\\n \"loss_scale\": 0,\\n \"loss_scale_window\": 1000,\\n \"hysteresis\": 2,\\n \"min_loss_scale\": 1\\n },\\n\\n # misc. training settings\\n \"train_iters\": 320000,\\n \"lr_decay_iters\": 320000,\\n \"distributed_backend\": \"nccl\",\\n \"lr_decay_style\": \"cosine\",\\n \"warmup\": 0.01,\\n \"checkpoint_factor\": 10...\\n{\\n \"global_num_gpus\": 1\\n}\\n'}, load='checkpoints', checkpoint_validation_with_forward_pass=False, checkpoint_scale='linear', checkpoint_factor=10000, extra_save_iters=None, no_save_optim=False, no_save_rng=False, no_load_optim=False, no_load_rng=False, finetune=False, batch_size=4, train_iters=320000, eval_iters=10, keep_last_n_checkpoints=4, eval_interval=1000, split='969, 30, 1', vocab_file='data/gpt2-vocab.json', merge_file='data/gpt2-merges.txt', num_workers=2, exit_interval=None, attention_dropout=0.0, hidden_dropout=0.0, weight_decay=0.1, checkpoint_activations=True, checkpoint_num_layers=1, deepspeed_activation_checkpointing=True, contiguous_checkpointing=False, checkpoint_in_cpu=False, synchronize_each_layer=True, profile_backward=False, partition_activations=True, gas=1, clip_grad=1.0, hysteresis=2, dynamic_loss_scale=True, loss_scale=None, loss_scale_window=1000.0, min_scale=1.0, char_level_ppl=False, use_mup=False, coord_check=False, save_base_shapes=False, base_shapes_file=None, mup_init_scale=1.0, mup_attn_temp=1.0, mup_output_temp=1.0, mup_embedding_mult=1.0, mup_rp_embedding_mult=1.0, mup_width_scale=2, tokenizer_type='GPT2BPETokenizer', padded_vocab_size=None, optimizer_type='Adam', use_bnb_optimizer=False, zero_stage=1, zero_reduce_scatter=True, zero_contiguous_gradients=True, zero_reduce_bucket_size=500000000, zero_allgather_bucket_size=500000000, lr=0.0006, lr_decay_style='cosine', lr_decay_iters=320000, min_lr=6e-05, warmup=0.01, override_lr_scheduler=False, use_checkpoint_lr_scheduler=False, precision='fp16', num_layers=12, hidden_size=768, num_attention_heads=12, seq_length=2048, max_position_embeddings=2048, norm='layernorm', use_qk_layernorm=False, layernorm_epsilon=1e-05, rms_norm_epsilon=1e-08, scalenorm_epsilon=1e-08, pos_emb='rotary', rpe_num_buckets=32, rpe_max_distance=128, opt_pos_emb_offset=0, no_weight_tying=True, attention_config=['global', 'global', 'global', 'global', 'global', 'global', 'global', 'global', 'global', 'global', 'global', 'global'], sparsity_config={}, num_unique_layers=None, param_sharing_style='grouped', make_vocab_size_divisible_by=128, activation='gelu', scaled_upper_triang_masked_softmax_fusion=False, scaled_masked_softmax_fusion=False, bias_gelu_fusion=False, bias_dropout_fusion=False, rope_fusion=False, fp16_lm_cross_entropy=False, init_method_std=0.02, apply_query_key_layer_scaling=False, use_cpu_initialization=False, attention_softmax_in_fp32=False, rotary_pct=1.0, rotary_emb_base=10000, init_method='small_init', output_layer_init_method='wang_init', gmlp_attn_dim=64, gpt_j_residual=False, gpt_j_tied=False, use_bias_in_norms=True, use_bias_in_attn_linear=True, mlp_type='regular', soft_prompt_tuning=None, output_layer_parallelism='column', deepspeed=True, train_batch_size=4, train_micro_batch_size_per_gpu=4, gradient_accumulation_steps=1, optimizer={'type': 'Adam', 'params': {'lr': 0.0006, 'betas': [0.9, 0.95], 'eps': 1e-08}}, scheduler=None, fp32_allreduce=False, prescale_gradients=False, gradient_predivide_factor=1.0, sparse_gradients=False, fp16={'enabled': True, 'loss_scale': 0, 'loss_scale_window': 1000, 'hysteresis': 2, 'min_loss_scale': 1}, bf16=None, amp=None, gradient_clipping=1.0, zero_optimization={'stage': 1, 'allgather_partitions': True, 'allgather_bucket_size': 500000000, 'overlap_comm': True, 'reduce_scatter': True, 'reduce_bucket_size': 500000000, 'contiguous_gradients': True}, curriculum_learning=None, curriculum_seqlen=0, steps_per_print=10, wall_clock_breakdown=True, dump_state=False, flops_profiler=None, communication_data_type=None, autotuning=None, activation_checkpointing=None, sparse_attention=None, data_efficiency=None, tensorboard=None, wandb=None, csv_monitor=None, elasticity=None, comms_logger=None, compression_training=None, checkpoint=None, data_types=None, deepspeed_extra_args=None, hostfile='/mock_path', include=None, exclude=None, num_nodes=-1, num_gpus=None, master_port=29500, master_addr=None, launcher='pdsh', force_multi=False, detect_nvlink_pairs=False, autotuning_run=None, no_ssh_check=False, comment=None, account=None) [/STATE]\n assert isinstance(args_loaded, NeoXArgs) # [STATE] @py_assert3 = None [/STATE]\n\n # initialize an empty config dictionary to be filled by yamls\n config = dict() # [STATE] config = {} [/STATE]\n\n # iterate of all to be loaded yaml files\n for conf_file_name in yaml_list: # [STATE] conf_file_name = '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/125M.yml' [/STATE] [STATE] conf_file_name = '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/local_setup.yml' [/STATE] [STATE] conf_file_name = '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/cpu_mock_config.yml' [/STATE]\n\n # load file\n with open(conf_file_name) as conf_file: # [STATE] conf_file = <_io.TextIOWrapper name='/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/125M.yml' mode='r' encoding='UTF-8'> [/STATE] [STATE] conf_file = <_io.TextIOWrapper name='/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/local_setup.yml' mode='r' encoding='UTF-8'> [/STATE] [STATE] conf_file = <_io.TextIOWrapper name='/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/cpu_mock_config.yml' mode='r' encoding='UTF-8'> [/STATE]\n conf = yaml.load(conf_file, Loader=yaml.FullLoader) # [STATE] conf = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False, 'bias_gelu_fusion': False, 'rope_fusion': False, 'init_method': 'small_init', 'output_layer_init_method': 'wang_init', 'optimizer': {'type': 'Adam', 'params': {'lr': 0.0006, 'betas': [0.9, 0.95], 'eps': 1e-08}}, 'min_lr': 6e-05, 'zero_optimization': {'stage': 1, 'allgather_partitions': True, 'allgather_bucket_size': 500000000, 'overlap_comm': True, 'reduce_scatter': True, 'reduce_bucket_size': 500000000, 'contiguous_gradients': True}, 'train_micro_batch_size_per_gpu': 4, 'data_impl': 'mmap', 'checkpoint_activations': True, 'checkpoint_num_layers': 1, 'partition_activations': True, 'synchronize_each_layer': True, 'gradient_clipping': 1.0, 'weight_decay': 0.1, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'fp16': {'enabled': True, 'loss_scale': 0, 'loss_scale_window': 1000, 'hysteresis': 2, 'min_loss_scale': 1}, 'train_iters': 320000, 'lr_decay_iters': 320000, 'distributed_backend': 'nccl', 'lr_decay_style': 'cosine', 'warmup': 0.01, 'checkpoint_factor': 10000, 'eval_interval': 1000, 'eval_iters': 10, 'log_interval': 100, 'steps_per_print': 10, 'keep_last_n_checkpoints': 4, 'wall_clock_breakdown': True, 'hostfile': '/mock_path'} [/STATE] [STATE] conf = {'data_path': 'data/enwik8/enwik8_text_document', 'vocab_file': 'data/gpt2-vocab.json', 'merge_file': 'data/gpt2-merges.txt', 'save': 'checkpoints', 'load': 'checkpoints', 'checkpoint_validation_with_forward_pass': False, 'tensorboard_dir': 'tensorboard', 'log_dir': 'logs', 'use_wandb': True, 'wandb_host': 'https://api.wandb.ai', 'wandb_project': 'neox'} [/STATE] [STATE] conf = {'global_num_gpus': 1} [/STATE]\n\n # check for key duplicates and load values\n for conf_key, conf_value in conf.items(): # [STATE] conf_key = 'pipe_parallel_size' [/STATE] [STATE] conf_value = 1 [/STATE] [STATE] conf_key = 'model_parallel_size' [/STATE] [STATE] conf_key = 'num_layers' [/STATE] [STATE] conf_value = 12 [/STATE] [STATE] conf_key = 'hidden_size' [/STATE] [STATE] conf_value = 768 [/STATE] [STATE] conf_key = 'num_attention_heads' [/STATE] [STATE] conf_key = 'seq_length' [/STATE] [STATE] conf_value = 2048 [/STATE] [STATE] conf_key = 'max_position_embeddings' [/STATE] [STATE] conf_key = 'norm' [/STATE] [STATE] conf_value = 'layernorm' [/STATE] [STATE] conf_key = 'pos_emb' [/STATE] [STATE] conf_value = 'rotary' [/STATE] [STATE] conf_key = 'no_weight_tying' [/STATE] [STATE] conf_value = True [/STATE] [STATE] conf_key = 'gpt_j_residual' [/STATE] [STATE] conf_value = False [/STATE] [STATE] conf_key = 'output_layer_parallelism' [/STATE] [STATE] conf_value = 'column' [/STATE]\n if conf_key in config:\n raise ValueError(\n f\"Conf file {conf_file_name} has the following duplicate keys with previously loaded file: {conf_key}\"\n )\n\n conf_key_converted = conf_key.replace( # [STATE] conf_key_converted = 'pipe_parallel_size' [/STATE] [STATE] conf_key_converted = 'model_parallel_size' [/STATE] [STATE] conf_key_converted = 'num_layers' [/STATE] [STATE] conf_key_converted = 'hidden_size' [/STATE] [STATE] conf_key_converted = 'num_attention_heads' [/STATE] [STATE] conf_key_converted = 'seq_length' [/STATE] [STATE] conf_key_converted = 'max_position_embeddings' [/STATE] [STATE] conf_key_converted = 'norm' [/STATE] [STATE] conf_key_converted = 'pos_emb' [/STATE] [STATE] conf_key_converted = 'no_weight_tying' [/STATE] [STATE] conf_key_converted = 'gpt_j_residual' [/STATE] [STATE] conf_key_converted = 'output_layer_parallelism' [/STATE] [STATE] conf_key_converted = 'scaled_upper_triang_masked_softmax_fusion' [/STATE] [STATE] conf_key_converted = 'bias_gelu_fusion' [/STATE] [STATE] conf_key_converted = 'rope_fusion' [/STATE] [STATE] conf_key_converted = 'init_method' [/STATE] [STATE] conf_key_converted = 'output_layer_init_method' [/STATE] [STATE] conf_key_converted = 'optimizer' [/STATE] [STATE] conf_key_converted = 'min_lr' [/STATE] [STATE] conf_key_converted = 'zero_optimization' [/STATE] [STATE] conf_key_converted = 'train_micro_batch_size_per_gpu' [/STATE]\n \"-\", \"_\"\n ) # TODO remove replace and update configuration files?\n config[conf_key_converted] = conf_value # [STATE] config = {'pipe_parallel_size': 1} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm'} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary'} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column'} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False, 'bias_gelu_fusion': False} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False, 'bias_gelu_fusion': False, 'rope_fusion': False} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False, 'bias_gelu_fusion': False, 'rope_fusion': False, 'init_method': 'small_init'} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False, 'bias_gelu_fusion': False, 'rope_fusion': False, 'init_method': 'small_init', 'output_layer_init_method': 'wang_init'} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False, 'bias_gelu_fusion': False, 'rope_fusion': False, 'init_method': 'small_init', 'output_layer_init_method': 'wang_init', 'optimizer': {'type': 'Adam', 'params': {'lr': 0.0006, 'betas': [0.9, 0.95], 'eps': 1e-08}}} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False, 'bias_gelu_fusion': False, 'rope_fusion': False, 'init_method': 'small_init', 'output_layer_init_method': 'wang_init', 'optimizer': {'type': 'Adam', 'params': {'lr': 0.0006, 'betas': [0.9, 0.95], 'eps': 1e-08}}, 'min_lr': 6e-05} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False, 'bias_gelu_fusion': False, 'rope_fusion': False, 'init_method': 'small_init', 'output_layer_init_method': 'wang_init', 'optimizer': {'type': 'Adam', 'params': {'lr': 0.0006, 'betas': [0.9, 0.95], 'eps': 1e-08}}, 'min_lr': 6e-05, 'zero_optimization': {'stage': 1, 'allgather_partitions': True, 'allgather_bucket_size': 500000000, 'overlap_comm': True, 'reduce_scatter': True, 'reduce_bucket_size': 500000000, 'contiguous_gradients': True}} [/STATE] [STATE] config = {'pipe_parallel_size': 1, 'model_parallel_size': 1, 'num_layers': 12, 'hidden_size': 768, 'num_attention_heads': 12, 'seq_length': 2048, 'max_position_embeddings': 2048, 'norm': 'layernorm', 'pos_emb': 'rotary', 'no_weight_tying': True, 'gpt_j_residual': False, 'output_layer_parallelism': 'column', 'scaled_upper_triang_masked_softmax_fusion': False, 'bias_gelu_fusion': False, 'rope_fusion': False, 'init_method': 'small_init', 'output_layer_init_method': 'wang_init', 'optimizer': {'type': 'Adam', 'params': {'lr': 0.0006, 'betas': [0.9, 0.95], 'eps': 1e-08}}, 'min_lr': 6e-05, 'zero_optimization': {'stage': 1, 'allgather_partitions': True, 'allgather_bucket_size': 500000000, 'overlap_comm': True, 'reduce_scatter': True, 'reduce_bucket_size': 500000000, 'contiguous_gradients': True}, 'train_micro_batch_size_per_gpu': 4} [/STATE]\n\n # validate that neox args has the same value as specified in the config (if specified in the config)\n for k, v in config.items(): # [STATE] k = 'pipe_parallel_size' [/STATE] [STATE] v = 1 [/STATE] [STATE] k = 'model_parallel_size' [/STATE] [STATE] k = 'num_layers' [/STATE] [STATE] v = 12 [/STATE] [STATE] k = 'hidden_size' [/STATE] [STATE] v = 768 [/STATE] [STATE] k = 'num_attention_heads' [/STATE] [STATE] k = 'seq_length' [/STATE] [STATE] v = 2048 [/STATE] [STATE] k = 'max_position_embeddings' [/STATE] [STATE] k = 'norm' [/STATE] [STATE] v = 'layernorm' [/STATE] [STATE] k = 'pos_emb' [/STATE] [STATE] v = 'rotary' [/STATE] [STATE] k = 'no_weight_tying' [/STATE] [STATE] v = True [/STATE] [STATE] k = 'gpt_j_residual' [/STATE] [STATE] v = False [/STATE] [STATE] k = 'output_layer_parallelism' [/STATE] [STATE] v = 'column' [/STATE]\n neox_args_value = getattr(args_loaded, k) # [STATE] neox_args_value = 1 [/STATE] [STATE] neox_args_value = 12 [/STATE] [STATE] neox_args_value = 768 [/STATE] [STATE] neox_args_value = 2048 [/STATE] [STATE] neox_args_value = 'layernorm' [/STATE] [STATE] neox_args_value = 'rotary' [/STATE] [STATE] neox_args_value = True [/STATE] [STATE] neox_args_value = False [/STATE] [STATE] neox_args_value = 'column' [/STATE] [STATE] neox_args_value = 'small_init' [/STATE] [STATE] neox_args_value = 'wang_init' [/STATE] [STATE] neox_args_value = {'type': 'Adam', 'params': {'lr': 0.0006, 'betas': [0.9, 0.95], 'eps': 1e-08}} [/STATE] [STATE] neox_args_value = 6e-05 [/STATE] [STATE] neox_args_value = {'stage': 1, 'allgather_partitions': True, 'allgather_bucket_size': 500000000, 'overlap_comm': True, 'reduce_scatter': True, 'reduce_bucket_size': 500000000, 'contiguous_gradients': True} [/STATE] [STATE] neox_args_value = 4 [/STATE] [STATE] neox_args_value = 'mmap' [/STATE] [STATE] neox_args_value = 1.0 [/STATE] [STATE] neox_args_value = 0.1 [/STATE] [STATE] neox_args_value = 0.0 [/STATE] [STATE] neox_args_value = {'enabled': True, 'loss_scale': 0, 'loss_scale_window': 1000, 'hysteresis': 2, 'min_loss_scale': 1} [/STATE] [STATE] neox_args_value = 320000 [/STATE]\n assert v == neox_args_value, ( # [STATE] @py_assert1 = None [/STATE]\n \"loaded neox args value \"\n + str(k)\n + \" == \"\n + str(neox_args_value)\n + \" different from config file \"\n + str(v)\n )\n\nrun_neox_args_load_test(['125M.yml', 'local_setup.yml', 'cpu_mock_config.yml'])", "loop_code": "1: def run_neox_args_load_test(yaml_files):\n2: from megatron.neox_arguments import NeoXArgs\n3:\n4: yaml_list = get_configs_with_path(yaml_files)\n5: args_loaded = NeoXArgs.from_ymls(yaml_list)\n6: assert isinstance(args_loaded, NeoXArgs)\n7:\n8: # initialize an empty config dictionary to be filled by yamls\n9: config = dict()\n10:\n11: # iterate of all to be loaded yaml files\n12: for conf_file_name in yaml_list:\n13:\n14: # load file\n15: with open(conf_file_name) as conf_file:\n16: conf = yaml.load(conf_file, Loader=yaml.FullLoader)\n17:\n18: # check for key duplicates and load values\n19: for conf_key, conf_value in conf.items():\n20: if conf_key in config:\n21: raise ValueError(\n22: f\"Conf file {conf_file_name} has the following duplicate keys with previously loaded file: {conf_key}\"\n23: )\n24:\n25: conf_key_converted = conf_key.replace(\n26: \"-\", \"_\"\n27: ) # TODO remove replace and update configuration files?\n28: config[conf_key_converted] = conf_value\n29:\n30: # validate that neox args has the same value as specified in the config (if specified in the config)\n31: for k, v in config.items():\n32: neox_args_value = getattr(args_loaded, k)\n33: assert v == neox_args_value, (\n34: \"loaded neox args value \"\n35: + str(k)\n36: + \" == \"\n37: + str(neox_args_value)\n38: + \" different from config file \"\n39: + str(v)\n40: )\n41:\n42: run_neox_args_load_test(['125M.yml', 'local_setup.yml', 'cpu_mock_config.yml'])", "question": "What is the value of ' conf_file ' in line '15' after '1' th iteration when 'run_neox_args_load_test(['125M.yml', 'local_setup.yml', 'cpu_mock_config.yml'])' is executed?", "answer": " <_io.TextIOWrapper name", "variable_assignment": " conf_file = <_io.TextIOWrapper name='/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/EleutherAI+gpt-neox/EleutherAI+gpt-neox/configs/125M.yml' mode='r' encoding='UTF-8'> "} +{"idx": 78, "scratchpad_format": "def main(input_args=None):\n args = get_args(input_args) # [STATE] args = Namespace(input='./tests/data/enwik8_first100.txt', jsonl_keys=['text'], num_docs=None, tokenizer_type='HFGPT2Tokenizer', vocab_file='gpt2', merge_file='./data/gpt2-merges.txt', append_eod=True, ftfy=False, output_prefix='./tests/data/enwik8_first100', dataset_impl='mmap', workers=1, log_interval=100, keep_empty=False, rank=0, make_vocab_size_divisible_by=128, model_parallel_size=1) [/STATE]\n encoder = Encoder(args) # [STATE] encoder = {args=Namespace(input='./tests/data/enwik8_first100.txt', jsonl_keys=['text'], num_docs=None, tokenizer_type='HFGPT2Tokenizer', vocab_file='gpt2', merge_file='./data/gpt2-merges.txt', append_eod=True, ftfy=False, output_prefix='./tests/data/enwik8_first100', dataset_impl='mmap', workers=1, log_interval=100, keep_empty=False, rank=0, make_vocab_size_divisible_by=128, model_parallel_size=1)} [/STATE]\n tokenizer = build_tokenizer(args) # [STATE] tokenizer = {name='HFGPT2TokenizerFast', tokenizer=GPT2TokenizerFast(name_or_path='gpt2', vocab_size=50257, model_max_length=1024, is_fast=True, padding_side='right', truncation_side='right', special_tokens={'bos_token': '<|endoftext|>', 'eos_token': '<|endoftext|>', 'unk_token': '<|endoftext|>', 'pad_token': '<|padding|>'}, clean_up_tokenization_spaces=True), added_tokens_decoder={\t50256: AddedToken(\"<|endoftext|>\", rstrip=False, lstrip=False, single_word=False, normalized=True, special=True),\t50257: AddedToken(\"<|padding|>\", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),}, eod_id=50256, pad_id=50257} [/STATE] # [STATE] args = Namespace(input='./tests/data/enwik8_first100.txt', jsonl_keys=['text'], num_docs=None, tokenizer_type='HFGPT2Tokenizer', vocab_file='gpt2', merge_file='./data/gpt2-merges.txt', append_eod=True, ftfy=False, output_prefix='./tests/data/enwik8_first100', dataset_impl='mmap', workers=1, log_interval=100, keep_empty=False, rank=0, make_vocab_size_divisible_by=128, model_parallel_size=1, padded_vocab_size=50304) [/STATE] # [STATE] encoder = {args=Namespace(input='./tests/data/enwik8_first100.txt', jsonl_keys=['text'], num_docs=None, tokenizer_type='HFGPT2Tokenizer', vocab_file='gpt2', merge_file='./data/gpt2-merges.txt', append_eod=True, ftfy=False, output_prefix='./tests/data/enwik8_first100', dataset_impl='mmap', workers=1, log_interval=100, keep_empty=False, rank=0, make_vocab_size_divisible_by=128, model_parallel_size=1, padded_vocab_size=50304)} [/STATE]\n print(f\"Vocab size: {tokenizer.vocab_size}\")\n print(f\"Output prefix: {args.output_prefix}\")\n\n # build a semaphore object to stop `yield_from_files` from getting ahead of encoder.encode and\n # hence building up memory\n semaphore = Semaphore(10000 + args.workers) # [STATE] semaphore = {_cond=, 0)>, _value=10001} [/STATE]\n\n # use multiprocessing to iterate over input documents\n fin = yield_from_files(args.input.split(\",\"), semaphore) # [STATE] fin = [/STATE]\n\n if args.workers > 1:\n pool = multiprocessing.Pool(args.workers, initializer=encoder.initializer)\n encoded_docs = pool.imap(encoder.encode, fin, chunksize=25)\n else:\n encoder.initializer()\n encoded_docs = (encoder.encode(doc) for doc in fin) # [STATE] encoded_docs = . at 0x7f1a97c25270> [/STATE]\n\n # make a dataset builder for each key in args.jsonl_keys\n # each key will output to a different file beginning with args.output_prefix\n output_bin_files = {} # [STATE] output_bin_files = {} [/STATE]\n output_idx_files = {} # [STATE] output_idx_files = {} [/STATE]\n builders = {} # [STATE] builders = {} [/STATE]\n for key in args.jsonl_keys: # [STATE] key = 'text' [/STATE]\n output_bin_files[key] = \"{}_{}_{}.bin\".format( # [STATE] output_bin_files = {'text': './tests/data/enwik8_first100_text_document.bin'} [/STATE]\n args.output_prefix, key, \"document\"\n )\n output_idx_files[key] = \"{}_{}_{}.idx\".format( # [STATE] output_idx_files = {'text': './tests/data/enwik8_first100_text_document.idx'} [/STATE]\n args.output_prefix, key, \"document\"\n )\n builders[key] = indexed_dataset.make_builder( # [STATE] builders = {'text': } [/STATE]\n output_bin_files[key],\n impl=args.dataset_impl,\n vocab_size=tokenizer.vocab_size,\n )\n\n # actually do tokenization\n proc_start = time.time() # [STATE] proc_start = 1712171758.7156355 [/STATE]\n total_bytes_processed = 0 # [STATE] total_bytes_processed = 0 [/STATE]\n pbar = tqdm.tqdm() # [STATE] pbar = {iterable=None, desc='', total=None, leave=True, fp=, ncols=None, nrows=None, mininterval=0.1, maxinterval=10.0, miniters=0, dynamic_miniters=True, ascii=True, disable=False, unit='it', unit_scale=False, unit_divisor=1000, initial=0, lock_args=None, delay=0.0, gui=False, dynamic_ncols=False, smoothing=0.3, _ema_dn=, _ema_dt=, _ema_miniters=, bar_format=None, postfix=None, colour=None, _time=, last_print_n=0, n=0, pos=0, last_print_t=1712171758.7435398, start_t=1712171758.7435398} [/STATE]\n for i, (doc, bytes_processed) in enumerate(encoded_docs, start=1): # [STATE] i = 1 [/STATE] [STATE] doc = {'text': [[27, 11431, 15466, 35555, 5907, 2625, 4023, 1378, 2503, 13, 11431, 15466, 13, 2398, 14, 19875, 14, 39344, 12, 15, 13, 18, 30487, 35555, 5907, 25, 87, 13396, 2625, 4023, 1378, 2503, 13, 86, 18, 13, 2398, 14, 14585, 14, 55, 5805, 27054, 2611, 12, 39098, 1, 2124, 13396, 25, 15952, 2611, 14749, 2625, 4023, 1378, 2503, 13, 11431, 15466, 13, 2398, 14, 19875, 14, 39344, 12, 15, 13, 18, 14, 2638, 1378, 2503, 13, 11431, 15466, 13, 2398, 14, 19875, 14, 39344, 12, 15, 13, 18, 13, 87, 21282, 1, 2196, 2625, 15, 13, 18, 1, 35555, 25, 17204, 2625, 268, 5320, 198, 220, 1279, 15654, 10951, 29, 198, 220, 220, 220, 1279, 48937, 12453, 29, 48845, 3556, 48937, 12453, 29, 198, 220, 220, 220, 1279, 8692, 29, 4023, 1378, 268, 13, 31266, 13, 2398, 14, 15466, 14, 13383, 62, 9876, 3556, 8692, 29, 198, 220, 220, 220, 1279, 8612, 1352, 29, 13152, 32603, 352, 13, 21, 26591, 3556, 8612, 1352, 29, 198, 220, 220, 220, 1279, 7442, 29, 11085, 12, 9291, 3556, 7442, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 43076, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 12, 17, 5320, 13152, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 12, 16, 5320, 13409, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 15, 1, 11037, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 16, 5320, 25685, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 17, 5320, 12982, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 18, 5320, 12982, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 19, 5320, 48845, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 20, 5320, 48845, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 21, 5320, 5159, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 22, 5320, 5159, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 23, 5320, 13152, 32603, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 24, 5320, 13152, 32603, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 940, 5320, 30800, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1157, 5320, 30800, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1065, 5320, 22087, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1485, 5320, 22087, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1415, 5320, 27313, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1314, 5320, 27313, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 3064, 5320, 13924, 282, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 8784, 5320, 13924, 282, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 7359, 14933, 43076, 29, 198, 220, 7359, 15654, 10951, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 32, 64, 32, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 16, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 34256, 2079, 27936, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 14315, 12, 1065, 12, 1983, 51, 1507, 25, 3510, 25, 2857, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 49044, 4164, 7084, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 21, 23726, 1485, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 29697, 11907, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178...0, 220, 220, 220, 220, 1279, 312, 29, 1507, 3312, 2718, 3388, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 14315, 12, 2998, 12, 3070, 51, 1157, 25, 1485, 25, 1485, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 23579, 84, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 1795, 1959, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 26872, 1090, 62, 312, 28, 20, 25, 22935, 49, 422, 43281, 20448, 11709, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 2348, 1362, 544, 11907, 27007, 49, 422, 43281, 20448, 11709, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198, 220, 7359, 7700, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 7437, 16305, 12162, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 21, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 1507, 3312, 2718, 3865, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 14315, 12, 2998, 12, 3070, 51, 1157, 25, 1415, 25, 1558, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 23579, 84, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 1795, 1959, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 26872, 284, 1090, 62, 312, 28, 21, 220, 22935, 49, 422, 43281, 20448, 11709, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 7437, 43663, 11907, 27007, 49, 422, 43281, 20448, 11709, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198, 220, 7359, 7700, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 4677, 18511, 40226, 873, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 23, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 21273, 42520, 3559, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 16942, 12, 2999, 12, 1495, 51, 1314, 25, 3559, 25, 1157, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 541, 29, 3103, 9641, 4226, 3556, 541, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 38062, 515, 11315, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 4677, 18511, 14458, 11907, 198, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198, 220, 7359, 7700, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 15457, 856, 5377, 48074, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 940, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 21273, 42520, 2231, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 16088, 12, 3023, 12, 1495, 51, 1828, 25, 1507, 25, 2548, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 32, 907, 1795, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 2425, 3559, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 22743, 278, 18941, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 15457, 856, 62, 785, 48074, 11907, 3556, 5239, 29, 198, 50256]]} [/STATE] [STATE] bytes_processed = 3355 [/STATE] [STATE] semaphore = {_cond=, 0)>, _value=9999} [/STATE]\n total_bytes_processed += bytes_processed # [STATE] total_bytes_processed = 3355 [/STATE]\n\n # release semaphore so `yield_from_files` can add another file to the buffer\n semaphore.release() # [STATE] semaphore = {_cond=, 0)>, _value=10000} [/STATE]\n\n # add each tokenized document / sentence\n for key, sentences in doc.items(): # [STATE] sentences = [[27, 11431, 15466, 35555, 5907, 2625, 4023, 1378, 2503, 13, 11431, 15466, 13, 2398, 14, 19875, 14, 39344, 12, 15, 13, 18, 30487, 35555, 5907, 25, 87, 13396, 2625, 4023, 1378, 2503, 13, 86, 18, 13, 2398, 14, 14585, 14, 55, 5805, 27054, 2611, 12, 39098, 1, 2124, 13396, 25, 15952, 2611, 14749, 2625, 4023, 1378, 2503, 13, 11431, 15466, 13, 2398, 14, 19875, 14, 39344, 12, 15, 13, 18, 14, 2638, 1378, 2503, 13, 11431, 15466, 13, 2398, 14, 19875, 14, 39344, 12, 15, 13, 18, 13, 87, 21282, 1, 2196, 2625, 15, 13, 18, 1, 35555, 25, 17204, 2625, 268, 5320, 198, 220, 1279, 15654, 10951, 29, 198, 220, 220, 220, 1279, 48937, 12453, 29, 48845, 3556, 48937, 12453, 29, 198, 220, 220, 220, 1279, 8692, 29, 4023, 1378, 268, 13, 31266, 13, 2398, 14, 15466, 14, 13383, 62, 9876, 3556, 8692, 29, 198, 220, 220, 220, 1279, 8612, 1352, 29, 13152, 32603, 352, 13, 21, 26591, 3556, 8612, 1352, 29, 198, 220, 220, 220, 1279, 7442, 29, 11085, 12, 9291, 3556, 7442, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 43076, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 12, 17, 5320, 13152, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 12, 16, 5320, 13409, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 15, 1, 11037, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 16, 5320, 25685, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 17, 5320, 12982, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 18, 5320, 12982, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 19, 5320, 48845, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 20, 5320, 48845, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 21, 5320, 5159, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 22, 5320, 5159, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 23, 5320, 13152, 32603, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 24, 5320, 13152, 32603, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 940, 5320, 30800, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1157, 5320, 30800, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1065, 5320, 22087, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1485, 5320, 22087, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1415, 5320, 27313, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1314, 5320, 27313, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 3064, 5320, 13924, 282, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 8784, 5320, 13924, 282, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 7359, 14933, 43076, 29, 198, 220, 7359, 15654, 10951, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 32, 64, 32, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 16, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 34256, 2079, 27936, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 14315, 12, 1065, 12, 1983, 51, 1507, 25, 3510, 25, 2857, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 49044, 4164, 7084, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 21, 23726, 1485, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 29697, 11907, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198...20, 220, 220, 220, 220, 1279, 312, 29, 1507, 3312, 2718, 3388, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 14315, 12, 2998, 12, 3070, 51, 1157, 25, 1485, 25, 1485, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 23579, 84, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 1795, 1959, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 26872, 1090, 62, 312, 28, 20, 25, 22935, 49, 422, 43281, 20448, 11709, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 2348, 1362, 544, 11907, 27007, 49, 422, 43281, 20448, 11709, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198, 220, 7359, 7700, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 7437, 16305, 12162, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 21, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 1507, 3312, 2718, 3865, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 14315, 12, 2998, 12, 3070, 51, 1157, 25, 1415, 25, 1558, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 23579, 84, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 1795, 1959, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 26872, 284, 1090, 62, 312, 28, 21, 220, 22935, 49, 422, 43281, 20448, 11709, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 7437, 43663, 11907, 27007, 49, 422, 43281, 20448, 11709, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198, 220, 7359, 7700, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 4677, 18511, 40226, 873, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 23, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 21273, 42520, 3559, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 16942, 12, 2999, 12, 1495, 51, 1314, 25, 3559, 25, 1157, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 541, 29, 3103, 9641, 4226, 3556, 541, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 38062, 515, 11315, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 4677, 18511, 14458, 11907, 198, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198, 220, 7359, 7700, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 15457, 856, 5377, 48074, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 940, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 21273, 42520, 2231, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 16088, 12, 3023, 12, 1495, 51, 1828, 25, 1507, 25, 2548, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 32, 907, 1795, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 2425, 3559, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 22743, 278, 18941, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 15457, 856, 62, 785, 48074, 11907, 3556, 5239, 29, 198, 50256]] [/STATE]\n for sentence in sentences: # [STATE] sentence = [27, 11431, 15466, 35555, 5907, 2625, 4023, 1378, 2503, 13, 11431, 15466, 13, 2398, 14, 19875, 14, 39344, 12, 15, 13, 18, 30487, 35555, 5907, 25, 87, 13396, 2625, 4023, 1378, 2503, 13, 86, 18, 13, 2398, 14, 14585, 14, 55, 5805, 27054, 2611, 12, 39098, 1, 2124, 13396, 25, 15952, 2611, 14749, 2625, 4023, 1378, 2503, 13, 11431, 15466, 13, 2398, 14, 19875, 14, 39344, 12, 15, 13, 18, 14, 2638, 1378, 2503, 13, 11431, 15466, 13, 2398, 14, 19875, 14, 39344, 12, 15, 13, 18, 13, 87, 21282, 1, 2196, 2625, 15, 13, 18, 1, 35555, 25, 17204, 2625, 268, 5320, 198, 220, 1279, 15654, 10951, 29, 198, 220, 220, 220, 1279, 48937, 12453, 29, 48845, 3556, 48937, 12453, 29, 198, 220, 220, 220, 1279, 8692, 29, 4023, 1378, 268, 13, 31266, 13, 2398, 14, 15466, 14, 13383, 62, 9876, 3556, 8692, 29, 198, 220, 220, 220, 1279, 8612, 1352, 29, 13152, 32603, 352, 13, 21, 26591, 3556, 8612, 1352, 29, 198, 220, 220, 220, 1279, 7442, 29, 11085, 12, 9291, 3556, 7442, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 43076, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 12, 17, 5320, 13152, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 12, 16, 5320, 13409, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 15, 1, 11037, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 16, 5320, 25685, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 17, 5320, 12982, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 18, 5320, 12982, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 19, 5320, 48845, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 20, 5320, 48845, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 21, 5320, 5159, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 22, 5320, 5159, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 23, 5320, 13152, 32603, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 24, 5320, 13152, 32603, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 940, 5320, 30800, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1157, 5320, 30800, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1065, 5320, 22087, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1485, 5320, 22087, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1415, 5320, 27313, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 1314, 5320, 27313, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 3064, 5320, 13924, 282, 3556, 14933, 10223, 29, 198, 220, 220, 220, 220, 220, 1279, 14933, 10223, 1994, 2625, 8784, 5320, 13924, 282, 1561, 3556, 14933, 10223, 29, 198, 220, 220, 220, 7359, 14933, 43076, 29, 198, 220, 7359, 15654, 10951, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 32, 64, 32, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 16, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 34256, 2079, 27936, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 14315, 12, 1065, 12, 1983, 51, 1507, 25, 3510, 25, 2857, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 49044, 4164, 7084, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 21, 23726, 1485, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 29697, 11907, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198,...220, 220, 220, 220, 220, 1279, 312, 29, 1507, 3312, 2718, 3388, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 14315, 12, 2998, 12, 3070, 51, 1157, 25, 1485, 25, 1485, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 23579, 84, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 1795, 1959, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 26872, 1090, 62, 312, 28, 20, 25, 22935, 49, 422, 43281, 20448, 11709, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 2348, 1362, 544, 11907, 27007, 49, 422, 43281, 20448, 11709, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198, 220, 7359, 7700, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 7437, 16305, 12162, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 21, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 1507, 3312, 2718, 3865, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 14315, 12, 2998, 12, 3070, 51, 1157, 25, 1415, 25, 1558, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 23579, 84, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 1795, 1959, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 26872, 284, 1090, 62, 312, 28, 21, 220, 22935, 49, 422, 43281, 20448, 11709, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 7437, 43663, 11907, 27007, 49, 422, 43281, 20448, 11709, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198, 220, 7359, 7700, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 4677, 18511, 40226, 873, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 23, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 21273, 42520, 3559, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 16942, 12, 2999, 12, 1495, 51, 1314, 25, 3559, 25, 1157, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 541, 29, 3103, 9641, 4226, 3556, 541, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 38062, 515, 11315, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 4677, 18511, 14458, 11907, 198, 3556, 5239, 29, 198, 220, 220, 220, 7359, 260, 10178, 29, 198, 220, 7359, 7700, 29, 198, 220, 1279, 7700, 29, 198, 220, 220, 220, 1279, 7839, 29, 15457, 856, 5377, 48074, 3556, 7839, 29, 198, 220, 220, 220, 1279, 312, 29, 940, 3556, 312, 29, 198, 220, 220, 220, 1279, 260, 10178, 29, 198, 220, 220, 220, 220, 220, 1279, 312, 29, 21273, 42520, 2231, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 1279, 16514, 27823, 29, 16088, 12, 3023, 12, 1495, 51, 1828, 25, 1507, 25, 2548, 57, 3556, 16514, 27823, 29, 198, 220, 220, 220, 220, 220, 1279, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 29460, 29, 32, 907, 1795, 3556, 29460, 29, 198, 220, 220, 220, 220, 220, 220, 220, 1279, 312, 29, 2425, 3559, 3556, 312, 29, 198, 220, 220, 220, 220, 220, 7359, 3642, 2455, 273, 29, 198, 220, 220, 220, 220, 220, 1279, 1084, 273, 11037, 198, 220, 220, 220, 220, 220, 1279, 23893, 29, 22743, 278, 18941, 3556, 23893, 29, 198, 220, 220, 220, 220, 220, 1279, 5239, 35555, 25, 13200, 2625, 18302, 3760, 5320, 2, 22083, 40, 23988, 16410, 15457, 856, 62, 785, 48074, 11907, 3556, 5239, 29, 198, 50256] [/STATE]\n builders[key].add_item(np.array(sentence, dtype=builders[key].dtype))\n # separate with eos token\n builders[key].end_document()\n\n # log progress\n if i % args.log_interval == 0:\n current = time.time()\n elapsed = current - proc_start\n mbs = total_bytes_processed / elapsed / 1024 / 1024\n pbar.set_description(\n f\"Processed {i}{'' if args.num_docs is None else '/' + str(args.num_docs)} documents ({i / elapsed :.2f} docs/s, {mbs:.2f} MB/s).\"\n )\n if i != 0:\n pbar.update(args.log_interval)\n\n # save output file\n for key in args.jsonl_keys:\n builders[key].finalize(output_idx_files[key])\n\nmain(['--input', './tests/data/enwik8_first100.txt', '--output-prefix', './tests/data/enwik8_first100', '--vocab', 'gpt2', '--tokenizer-type', 'HFGPT2Tokenizer', '--merge-file', './data/gpt2-merges.txt', '--append-eod'])", "loop_code": "1: def main(input_args=None):\n2: args = get_args(input_args)\n3: encoder = Encoder(args)\n4: tokenizer = build_tokenizer(args)\n5: print(f\"Vocab size: {tokenizer.vocab_size}\")\n6: print(f\"Output prefix: {args.output_prefix}\")\n7:\n8: # build a semaphore object to stop `yield_from_files` from getting ahead of encoder.encode and\n9: # hence building up memory\n10: semaphore = Semaphore(10000 + args.workers)\n11:\n12: # use multiprocessing to iterate over input documents\n13: fin = yield_from_files(args.input.split(\",\"), semaphore)\n14:\n15: if args.workers > 1:\n16: pool = multiprocessing.Pool(args.workers, initializer=encoder.initializer)\n17: encoded_docs = pool.imap(encoder.encode, fin, chunksize=25)\n18: else:\n19: encoder.initializer()\n20: encoded_docs = (encoder.encode(doc) for doc in fin)\n21:\n22: # make a dataset builder for each key in args.jsonl_keys\n23: # each key will output to a different file beginning with args.output_prefix\n24: output_bin_files = {}\n25: output_idx_files = {}\n26: builders = {}\n27: for key in args.jsonl_keys:\n28: output_bin_files[key] = \"{}_{}_{}.bin\".format(\n29: args.output_prefix, key, \"document\"\n30: )\n31: output_idx_files[key] = \"{}_{}_{}.idx\".format(\n32: args.output_prefix, key, \"document\"\n33: )\n34: builders[key] = indexed_dataset.make_builder(\n35: output_bin_files[key],\n36: impl=args.dataset_impl,\n37: vocab_size=tokenizer.vocab_size,\n38: )\n39:\n40: # actually do tokenization\n41: proc_start = time.time()\n42: total_bytes_processed = 0\n43: pbar = tqdm.tqdm()\n44: for i, (doc, bytes_processed) in enumerate(encoded_docs, start=1):\n45: total_bytes_processed += bytes_processed\n46:\n47: # release semaphore so `yield_from_files` can add another file to the buffer\n48: semaphore.release()\n49:\n50: # add each tokenized document / sentence\n51: for key, sentences in doc.items():\n52: for sentence in sentences:\n53: builders[key].add_item(np.array(sentence, dtype=builders[key].dtype))\n54: # separate with eos token\n55: builders[key].end_document()\n56:\n57: # log progress\n58: if i % args.log_interval == 0:\n59: current = time.time()\n60: elapsed = current - proc_start\n61: mbs = total_bytes_processed / elapsed / 1024 / 1024\n62: pbar.set_description(\n63: f\"Processed {i}{'' if args.num_docs is None else '/' + str(args.num_docs)} documents ({i / elapsed :.2f} docs/s, {mbs:.2f} MB/s).\"\n64: )\n65: if i != 0:\n66: pbar.update(args.log_interval)\n67:\n68: # save output file\n69: for key in args.jsonl_keys:\n70: builders[key].finalize(output_idx_files[key])\n71:\n72: main(['--input', './tests/data/enwik8_first100.txt', '--output-prefix', './tests/data/enwik8_first100', '--vocab', 'gpt2', '--tokenizer-type', 'HFGPT2Tokenizer', '--merge-file', './data/gpt2-merges.txt', '--append-eod'])", "question": "What is the value of ' output_bin_files ' in line '28' after '1' th iteration when 'main(['--input', './tests/data/enwik8_first100.txt', '--output-prefix', './tests/data/enwik8_first100', '--vocab', 'gpt2', '--tokenizer-type', 'HFGPT2Tokenizer', '--merge-file', './data/gpt2-merges.txt', '--append-eod'])' is executed?", "answer": " {'text': './tests/data/enwik8_first100_text_document.bin'} ", "variable_assignment": " output_bin_files = {'text': './tests/data/enwik8_first100_text_document.bin'} "} +{"idx": 79, "scratchpad_format": "def get_article_detail(text, del_qqmusic=True, del_voice=True):\n \"\"\"\u6839\u636e\u5fae\u4fe1\u6587\u7ae0\u7684\u4e34\u65f6\u94fe\u63a5\u83b7\u53d6\u660e\u7ec6\n\n 1. \u83b7\u53d6\u6587\u672c\u4e2d\u6240\u6709\u7684\u56fe\u7247\u94fe\u63a5\u5217\u8868\n 2. \u83b7\u53d6\u5fae\u4fe1\u6587\u7ae0\u7684html\u5185\u5bb9\u9875\u9762(\u53bb\u9664\u6807\u9898\u7b49\u4fe1\u606f)\n\n Parameters\n ----------\n text : str or unicode\n \u4e00\u7bc7\u5fae\u4fe1\u6587\u7ae0\u7684\u6587\u672c\n del_qqmusic: bool\n \u5220\u9664\u6587\u7ae0\u4e2d\u7684qq\u97f3\u4e50\n del_voice: bool\n \u5220\u9664\u6587\u7ae0\u4e2d\u7684\u8bed\u97f3\u5185\u5bb9\n\n Returns\n -------\n dict\n {\n 'content_html': str # \u5fae\u4fe1\u6587\u672c\u5185\u5bb9\n 'content_img_list': list[img_url1, img_url2, ...] # \u5fae\u4fe1\u6587\u672c\u4e2d\u56fe\u7247\u5217\u8868\n\n }\n \"\"\"\n # 1. \u83b7\u53d6\u5fae\u4fe1\u6587\u672ccontent\n html_obj = BeautifulSoup(text, \"lxml\") # [STATE] html_obj = [/STATE]\n content_text = html_obj.find('div', {'class': 'rich_media_content', 'id': 'js_content'}) # [STATE] content_text =

\u00a0\u65e9\u4e0a\u597d~

\u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c

\u4e0d\u8d70\u51fa\u53bb\uff0c

\u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b


\u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~


[/STATE]\n\n # 2. \u5220\u9664\u90e8\u5206\u6807\u7b7e\n if del_qqmusic:\n qqmusic = content_text.find_all('qqmusic') or [] # [STATE] qqmusic = [] [/STATE]\n for music in qqmusic: # [STATE] music = [/STATE]\n music.parent.decompose() # [STATE] content_text =

\u00a0\u65e9\u4e0a\u597d~

\u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c

\u4e0d\u8d70\u51fa\u53bb\uff0c

\u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b



\u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~


[/STATE] # [STATE] qqmusic = REPR FAILED [/STATE] # [STATE] music = REPR FAILED [/STATE]\n\n if del_voice:\n # voice\u662f\u4e00\u4e2ap\u6807\u7b7e\u4e0b\u7684mpvoice\u6807\u7b7e\u4ee5\u53caclass\u4e3a'js_audio_frame db'\u7684span\u6784\u6210\uff0c\u6240\u4ee5\u5c06\u7236\u6807\u7b7e\u5220\u9664\n voices = content_text.find_all('mpvoice') or [] # [STATE] voices = [] [/STATE]\n for voice in voices:\n voice.parent.decompose()\n\n # 3. \u83b7\u53d6\u6240\u6709\u7684\u56fe\u7247 [img\u6807\u7b7e\uff0c\u548cstyle\u4e2d\u7684background-image]\n all_img_set = set() # [STATE] all_img_set = set() [/STATE]\n all_img_element = content_text.find_all('img') or [] # [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE]\n for ele in all_img_element: # [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE] [STATE] ele = [/STATE]\n # \u5220\u9664\u90e8\u5206\u5c5e\u6027\n img_url = format_image_url(ele.attrs['data-src']) # [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulWic8GkI4jTUAOfJrme36PZwQ2dic784yPtYumdthOKGrLYHfemicV6Hw/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruaXSrvfWk7B0jvWEogxVf8WvriaPGZjFwxtKPaKrmUBkfYxgOAZfR4rQ/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulge7eq0v065JzON3PwdUWSXMPh9PLNRRmI9l4t8g5m4HYvhLCM73kg/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErutPdD6pGvqMWZXBvtDl6Q72CuTpRa5C2eOPVswhh7W6rDXic45pRicdkg/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruJD3CIeXArI8asI4qxCoqYuNN7paYWa4XfP2JuD6SjuF6OqTwgIzt7g/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruXXUwTb1e7uoXOvTJSexke9YgfkicFyibTria7CDgfia8VBUj6Q2XQqVIDQ/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_jpg/xrFYciaHL08BQibj45TouE53ViauIKoykFLFe6qb4jYnHM9xxicibN1gFfFVMUfMicqeTF3SYz25IaSxgbDvXGEFxK0g/640?wx_fmt=jpeg' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruQDBRUibgY8e14K7eR4x6fxMibeQ2ibJzuFNujBpVGHlacOW3iajP6zvsAA/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErux30g1cwicx2awgxGUrVAq3G6kACAWqdoAZ1jdjuLv7ShVjp9fjtKkcQ/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruMagzpWJa3IowapejQRxeaN9xNG1ond1XQ7Kd4TUtnSCqTMPJm50UWQ/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_gif/v4vz52CcB10icDUYXeCCiatGPFKaHaOBnWIARweIA8tLOrFS5N5BBByIwqO8yCVjuUzwYAa2HuxiabDzQHtYD61Bw/640?' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_jpg/oq1PymRl9D7wicq1tSoqEUMOFsicSz0VMHQGKRJDOVGNqve308J4BjpiaqhdcJaFgicVsdn88v5icRLPWRyE4Um2M5g/640?wx_fmt=jpeg' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruGeGwW9Io6ibmFOteW04ibmg5HT8DKfEvfoojVleRiaibgON6Fwr6Hhanwg/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruPfXZic5rn0ddft1UrbQdz1PvEmMhoQ5cw87H7gL0PImMlF4UB5wpkSg/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEru7Y9cXa6t7b4sKlcURer8XpRkP84hURFRWJkSibUlDySMUdyPA8lxmSw/640?wx_fmt=png' [/STATE] [STATE] img_url = 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruxgJMkE11iao5lr8OibR9f9yqIrHx2cxUCu65pzIZP3auOicenn1dDpvkA/640?wx_fmt=png' [/STATE]\n del ele.attrs['data-src'] # [STATE] content_text =

\u00a0\u65e9\u4e0a\u597d~

\u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c

\u4e0d\u8d70\u51fa\u53bb\uff0c

\u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b



\u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~


[/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] content_text =

\u00a0\u65e9\u4e0a\u597d~

\u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c

\u4e0d\u8d70\u51fa\u53bb\uff0c

\u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b



\u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~


[/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE]\n\n ele.attrs['src'] = img_url # [STATE] content_text =

\u00a0\u65e9\u4e0a\u597d~

\u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c

\u4e0d\u8d70\u51fa\u53bb\uff0c

\u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b



\u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~


[/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] content_text =

\u00a0\u65e9\u4e0a\u597d~

\u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c

\u4e0d\u8d70\u51fa\u53bb\uff0c

\u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b



\u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~


[/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE] [STATE] ele = [/STATE] [STATE] all_img_element = [, , , , , , , , , , , , , , , , , , , , , , , , , , , ] [/STATE]\n\n if not img_url.startswith('http'):\n raise WechatSogouException('img_url [{}] \u4e0d\u5408\u6cd5'.format(img_url))\n all_img_set.add(img_url) # [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif'} [/STATE] [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png'} [/STATE] [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png'} [/STATE] [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png'} [/STATE] [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640'} [/STATE] [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulWic8GkI4jTUAOfJrme36PZwQ2dic784yPtYumdthOKGrLYHfemicV6Hw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640'} [/STATE] [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulWic8GkI4jTUAOfJrme36PZwQ2dic784yPtYumdthOKGrLYHfemicV6Hw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruaXSrvfWk7B0jvWEogxVf8WvriaPGZjFwxtKPaKrmUBkfYxgOAZfR4rQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640'} [/STATE] [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulWic8GkI4jTUAOfJrme36PZwQ2dic784yPtYumdthOKGrLYHfemicV6Hw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulge7eq0v065JzON3PwdUWSXMPh9PLNRRmI9l4t8g5m4HYvhLCM73kg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruaXSrvfWk7B0jvWEogxVf8WvriaPGZjFwxtKPaKrmUBkfYxgOAZfR4rQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640'} [/STATE] [STATE] all_img_set 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'https://mmbiz.qpic.cn/mmbiz_jpg/xrFYciaHL08BQibj45TouE53ViauIKoykFLFe6qb4jYnHM9xxicibN1gFfFVMUfMicqeTF3SYz25IaSxgbDvXGEFxK0g/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_gif/v4vz52CcB10icDUYXeCCiatGPFKaHaOBnWIARweIA8tLOrFS5N5BBByIwqO8yCVjuUzwYAa2HuxiabDzQHtYD61Bw/640?', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErutPdD6pGvqMWZXBvtDl6Q72CuTpRa5C2eOPVswhh7W6rDXic45pRicdkg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruJD3CIeXArI8asI4qxCoqYuNN7paYWa4XfP2JuD6SjuF6OqTwgIzt7g/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruaXSrvfWk7B0jvWEogxVf8WvriaPGZjFwxtKPaKrmUBkfYxgOAZfR4rQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruQDBRUibgY8e14K7eR4x6fxMibeQ2ibJzuFNujBpVGHlacOW3iajP6zvsAA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruXXUwTb1e7uoXOvTJSexke9YgfkicFyibTria7CDgfia8VBUj6Q2XQqVIDQ/640?wx_fmt=png'} [/STATE] [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulWic8GkI4jTUAOfJrme36PZwQ2dic784yPtYumdthOKGrLYHfemicV6Hw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruMagzpWJa3IowapejQRxeaN9xNG1ond1XQ7Kd4TUtnSCqTMPJm50UWQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruGeGwW9Io6ibmFOteW04ibmg5HT8DKfEvfoojVleRiaibgON6Fwr6Hhanwg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulge7eq0v065JzON3PwdUWSXMPh9PLNRRmI9l4t8g5m4HYvhLCM73kg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEru7Y9cXa6t7b4sKlcURer8XpRkP84hURFRWJkSibUlDySMUdyPA8lxmSw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/oq1PymRl9D7wicq1tSoqEUMOFsicSz0VMHQGKRJDOVGNqve308J4BjpiaqhdcJaFgicVsdn88v5icRLPWRyE4Um2M5g/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruPfXZic5rn0ddft1UrbQdz1PvEmMhoQ5cw87H7gL0PImMlF4UB5wpkSg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErux30g1cwicx2awgxGUrVAq3G6kACAWqdoAZ1jdjuLv7ShVjp9fjtKkcQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_jpg/xrFYciaHL08BQibj45TouE53ViauIKoykFLFe6qb4jYnHM9xxicibN1gFfFVMUfMicqeTF3SYz25IaSxgbDvXGEFxK0g/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_gif/v4vz52CcB10icDUYXeCCiatGPFKaHaOBnWIARweIA8tLOrFS5N5BBByIwqO8yCVjuUzwYAa2HuxiabDzQHtYD61Bw/640?', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErutPdD6pGvqMWZXBvtDl6Q72CuTpRa5C2eOPVswhh7W6rDXic45pRicdkg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruJD3CIeXArI8asI4qxCoqYuNN7paYWa4XfP2JuD6SjuF6OqTwgIzt7g/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruaXSrvfWk7B0jvWEogxVf8WvriaPGZjFwxtKPaKrmUBkfYxgOAZfR4rQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruQDBRUibgY8e14K7eR4x6fxMibeQ2ibJzuFNujBpVGHlacOW3iajP6zvsAA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruXXUwTb1e7uoXOvTJSexke9YgfkicFyibTria7CDgfia8VBUj6Q2XQqVIDQ/640?wx_fmt=png'} [/STATE] [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulWic8GkI4jTUAOfJrme36PZwQ2dic784yPtYumdthOKGrLYHfemicV6Hw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruMagzpWJa3IowapejQRxeaN9xNG1ond1XQ7Kd4TUtnSCqTMPJm50UWQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruGeGwW9Io6ibmFOteW04ibmg5HT8DKfEvfoojVleRiaibgON6Fwr6Hhanwg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulge7eq0v065JzON3PwdUWSXMPh9PLNRRmI9l4t8g5m4HYvhLCM73kg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEru7Y9cXa6t7b4sKlcURer8XpRkP84hURFRWJkSibUlDySMUdyPA8lxmSw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/oq1PymRl9D7wicq1tSoqEUMOFsicSz0VMHQGKRJDOVGNqve308J4BjpiaqhdcJaFgicVsdn88v5icRLPWRyE4Um2M5g/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruPfXZic5rn0ddft1UrbQdz1PvEmMhoQ5cw87H7gL0PImMlF4UB5wpkSg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErux30g1cwicx2awgxGUrVAq3G6kACAWqdoAZ1jdjuLv7ShVjp9fjtKkcQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_jpg/xrFYciaHL08BQibj45TouE53ViauIKoykFLFe6qb4jYnHM9xxicibN1gFfFVMUfMicqeTF3SYz25IaSxgbDvXGEFxK0g/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_gif/v4vz52CcB10icDUYXeCCiatGPFKaHaOBnWIARweIA8tLOrFS5N5BBByIwqO8yCVjuUzwYAa2HuxiabDzQHtYD61Bw/640?', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruxgJMkE11iao5lr8OibR9f9yqIrHx2cxUCu65pzIZP3auOicenn1dDpvkA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErutPdD6pGvqMWZXBvtDl6Q72CuTpRa5C2eOPVswhh7W6rDXic45pRicdkg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruJD3CIeXArI8asI4qxCoqYuNN7paYWa4XfP2JuD6SjuF6OqTwgIzt7g/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruaXSrvfWk7B0jvWEogxVf8WvriaPGZjFwxtKPaKrmUBkfYxgOAZfR4rQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruQDBRUibgY8e14K7eR4x6fxMibeQ2ibJzuFNujBpVGHlacOW3iajP6zvsAA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruXXUwTb1e7uoXOvTJSexke9YgfkicFyibTria7CDgfia8VBUj6Q2XQqVIDQ/640?wx_fmt=png'} [/STATE]\n\n backgroud_image = content_text.find_all(style=re.compile(\"background-image\")) or [] # [STATE] backgroud_image = [
] [/STATE]\n for ele in backgroud_image: # [STATE] ele =
[/STATE]\n # \u5220\u9664\u90e8\u5206\u5c5e\u6027\n if ele.attrs.get('data-src'):\n del ele.attrs['data-src']\n\n if ele.attrs.get('data-wxurl'):\n del ele.attrs['data-wxurl'] # [STATE] content_text =

\u00a0\u65e9\u4e0a\u597d~

\u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c

\u4e0d\u8d70\u51fa\u53bb\uff0c

\u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b



\u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~


[/STATE] # [STATE] ele =
[/STATE] # [STATE] backgroud_image = [
] [/STATE]\n img_url = re.findall(backgroud_image_p, str(ele)) # [STATE] img_url = ['https://mmbiz.qpic.cn/mmbiz_jpg/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRHGXoMtN8oReOYz7SkiaHJqjk7ACtFQfUOhQkibtofRZt463fujIwQcicg/640?wx_fmt=jpeg'] [/STATE]\n if not img_url:\n continue\n all_img_set.add(img_url[0]) # [STATE] all_img_set = {'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulWic8GkI4jTUAOfJrme36PZwQ2dic784yPtYumdthOKGrLYHfemicV6Hw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruNFHXlrc4bmxH3DWgqn0tvBSHUTg6fcF9DUGlDf2kJFmmHrAtvicha1A/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruMagzpWJa3IowapejQRxeaN9xNG1ond1XQ7Kd4TUtnSCqTMPJm50UWQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruGeGwW9Io6ibmFOteW04ibmg5HT8DKfEvfoojVleRiaibgON6Fwr6Hhanwg/640?wx_fmt=png', 'http://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiagSm5VtCHMcEYXtrmgBK4U7liaapv8Mhicwf05CWlM0JicxzBAs4QDQt2xOMVuL9Y4tEKSG1tSDVvOnA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRHGXoMtN8oReOYz7SkiaHJqjk7ACtFQfUOhQkibtofRZt463fujIwQcicg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruBcqVLOZsEGT1fRZvsRsmRqCl6eyLrYHR0kwovFhkjU8dSvhzs2mtRA/640?wx_fmt=png', 'http://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajJ1SEqcphq0AdJklqfSBSmfah3nFRxglymcibajPooleKzlV9qZZy5FcyOqDOuH5QibXVR0cuiahRkQ/640?', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulge7eq0v065JzON3PwdUWSXMPh9PLNRRmI9l4t8g5m4HYvhLCM73kg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz/ianq03UUWGmK4x8wVTdM27HAUGhBg5y42uC4diafFxJ2oeg8gsqbRRfjOMibqibaUEg2AicYRX1YpE1ne58SMR2XGkQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEru7Y9cXa6t7b4sKlcURer8XpRkP84hURFRWJkSibUlDySMUdyPA8lxmSw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/oq1PymRl9D7wicq1tSoqEUMOFsicSz0VMHQGKRJDOVGNqve308J4BjpiaqhdcJaFgicVsdn88v5icRLPWRyE4Um2M5g/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruPfXZic5rn0ddft1UrbQdz1PvEmMhoQ5cw87H7gL0PImMlF4UB5wpkSg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiajJ1SEqcphq0AdJklqfSBSmC42xAdtpV7C8YpDSZ6JXO52pg0m3cv5AfNpNeooyIsqQKS5D5lfTmQ/640?', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErux30g1cwicx2awgxGUrVAq3G6kACAWqdoAZ1jdjuLv7ShVjp9fjtKkcQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_jpg/xrFYciaHL08BQibj45TouE53ViauIKoykFLFe6qb4jYnHM9xxicibN1gFfFVMUfMicqeTF3SYz25IaSxgbDvXGEFxK0g/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_gif/v4vz52CcB10icDUYXeCCiatGPFKaHaOBnWIARweIA8tLOrFS5N5BBByIwqO8yCVjuUzwYAa2HuxiabDzQHtYD61Bw/640?', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruxgJMkE11iao5lr8OibR9f9yqIrHx2cxUCu65pzIZP3auOicenn1dDpvkA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErutPdD6pGvqMWZXBvtDl6Q72CuTpRa5C2eOPVswhh7W6rDXic45pRicdkg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruJD3CIeXArI8asI4qxCoqYuNN7paYWa4XfP2JuD6SjuF6OqTwgIzt7g/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruaXSrvfWk7B0jvWEogxVf8WvriaPGZjFwxtKPaKrmUBkfYxgOAZfR4rQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruQDBRUibgY8e14K7eR4x6fxMibeQ2ibJzuFNujBpVGHlacOW3iajP6zvsAA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruXXUwTb1e7uoXOvTJSexke9YgfkicFyibTria7CDgfia8VBUj6Q2XQqVIDQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwqLtGOkNR3jeI17pRBmuicnRJDNsjltcb7Y9rBOh7jxe0S3iadnGsnEXg/640?wx_fmt=jpeg'} [/STATE]\n\n # 4. \u5904\u7406iframe\n all_img_element = content_text.find_all('iframe') or [] # [STATE] all_img_element = [] [/STATE]\n for ele in all_img_element:\n # \u5220\u9664\u90e8\u5206\u5c5e\u6027\n img_url = ele.attrs['data-src']\n del ele.attrs['data-src']\n ele.attrs['src'] = img_url\n\n # 5. \u8fd4\u56de\u6570\u636e\n all_img_list = list(all_img_set) # [STATE] all_img_list = ['https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRYoicViaW9XPCpzfumwpdbOg0icWwx9OGEjuOgF7OCxLYxf0ibXz3T5ogxQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulWic8GkI4jTUAOfJrme36PZwQ2dic784yPtYumdthOKGrLYHfemicV6Hw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruNFHXlrc4bmxH3DWgqn0tvBSHUTg6fcF9DUGlDf2kJFmmHrAtvicha1A/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruMagzpWJa3IowapejQRxeaN9xNG1ond1XQ7Kd4TUtnSCqTMPJm50UWQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruGeGwW9Io6ibmFOteW04ibmg5HT8DKfEvfoojVleRiaibgON6Fwr6Hhanwg/640?wx_fmt=png', 'http://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiagSm5VtCHMcEYXtrmgBK4U7liaapv8Mhicwf05CWlM0JicxzBAs4QDQt2xOMVuL9Y4tEKSG1tSDVvOnA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/Jyco923vDiahUG7Gqyp3hMzafzu1MqfvRHGXoMtN8oReOYz7SkiaHJqjk7ACtFQfUOhQkibtofRZt463fujIwQcicg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruBcqVLOZsEGT1fRZvsRsmRqCl6eyLrYHR0kwovFhkjU8dSvhzs2mtRA/640?wx_fmt=png', 'http://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajJ1SEqcphq0AdJklqfSBSmfah3nFRxglymcibajPooleKzlV9qZZy5FcyOqDOuH5QibXVR0cuiahRkQ/640?', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErulge7eq0v065JzON3PwdUWSXMPh9PLNRRmI9l4t8g5m4HYvhLCM73kg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz/ianq03UUWGmK4x8wVTdM27HAUGhBg5y42uC4diafFxJ2oeg8gsqbRRfjOMibqibaUEg2AicYRX1YpE1ne58SMR2XGkQ/640?wx_fmt=gif', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEru7Y9cXa6t7b4sKlcURer8XpRkP84hURFRWJkSibUlDySMUdyPA8lxmSw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/oq1PymRl9D7wicq1tSoqEUMOFsicSz0VMHQGKRJDOVGNqve308J4BjpiaqhdcJaFgicVsdn88v5icRLPWRyE4Um2M5g/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruPfXZic5rn0ddft1UrbQdz1PvEmMhoQ5cw87H7gL0PImMlF4UB5wpkSg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErumf6Uuyibn37TsUkRY4Ahzxib69WZN0UP5b9iblJx7baFzCVdv7iakEyqkw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_gif/Jyco923vDiajJ1SEqcphq0AdJklqfSBSmC42xAdtpV7C8YpDSZ6JXO52pg0m3cv5AfNpNeooyIsqQKS5D5lfTmQ/640?', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErux30g1cwicx2awgxGUrVAq3G6kACAWqdoAZ1jdjuLv7ShVjp9fjtKkcQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwloSIbsVMqDDYSQyjZ7sPdAl17PBJptmWGKvPCO2z3p9DPp6HwBmpcg/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_jpg/xrFYciaHL08BQibj45TouE53ViauIKoykFLFe6qb4jYnHM9xxicibN1gFfFVMUfMicqeTF3SYz25IaSxgbDvXGEFxK0g/640?wx_fmt=jpeg', 'https://mmbiz.qpic.cn/mmbiz_gif/v4vz52CcB10icDUYXeCCiatGPFKaHaOBnWIARweIA8tLOrFS5N5BBByIwqO8yCVjuUzwYAa2HuxiabDzQHtYD61Bw/640?', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruxgJMkE11iao5lr8OibR9f9yqIrHx2cxUCu65pzIZP3auOicenn1dDpvkA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErutPdD6pGvqMWZXBvtDl6Q72CuTpRa5C2eOPVswhh7W6rDXic45pRicdkg/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgErucGICXziaPSicIltx8Of5CkDJjKy6dxiclrVvByiabLaO7p3uZibTNmfhTxw/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruJD3CIeXArI8asI4qxCoqYuNN7paYWa4XfP2JuD6SjuF6OqTwgIzt7g/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruaXSrvfWk7B0jvWEogxVf8WvriaPGZjFwxtKPaKrmUBkfYxgOAZfR4rQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruQDBRUibgY8e14K7eR4x6fxMibeQ2ibJzuFNujBpVGHlacOW3iajP6zvsAA/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_png/v4vz52CcB13K0y1mCNoDfAMJ4nqJkGapfrQJ4KiatPCu1xiaiaFGF3DNfvhUCYliaKV0UVm2LtDrYRxtFnQ3IvL5RA/640', 'https://mmbiz.qpic.cn/mmbiz_png/Jyco923vDiajsBt80vSPPsBtpefTAgEruXXUwTb1e7uoXOvTJSexke9YgfkicFyibTria7CDgfia8VBUj6Q2XQqVIDQ/640?wx_fmt=png', 'https://mmbiz.qpic.cn/mmbiz_jpg/azXQmS1HA7lxZkZaxyTQ8yqLM57WTkZwqLtGOkNR3jeI17pRBmuicnRJDNsjltcb7Y9rBOh7jxe0S3iadnGsnEXg/640?wx_fmt=jpeg'] [/STATE]\n content_html = content_text.prettify() # [STATE] content_html = '
\\n
\\n
\\n
\\n
\\n
\\n \\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n

\\n \\n

\\n
\\n
\\n

\\n \u65e9\u4e0a\u597d~\\n

\\n
\\n
\\n
\\n

\\n \\n \u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c\\n \\n

\\n

\\n \\n \u4e0d\u8d70\u51fa\u53bb\uff0c\\n \\n

\\n

\\n \\n \u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b\\n \\n

\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n

\\n
\\n

\\n
\\n
\\n
\\n
\\n

\\n
\\n
\\n
\\n

\\n
\\n

\\n
\\n \\n
\\n
\\n
\\n
\\n

\\n \\n \\n \u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~\\n \\n \\n

\\n

\\n
\\n

\\n
\\n
\\n
\\n
\\n
\\n

\\n \\n

\\n

\\n \\n

\\n
\\n
\\n

\\n \\n

\\n
\\n
\\n' [/STATE]\n # \u53bb\u9664div[id=js_content]\n content_html = re.findall(js_content, content_html)[0][0] # [STATE] content_html = '\\n
\\n
\\n
\\n
\\n
\\n \\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n

\\n \\n

\\n
\\n
\\n

\\n \u65e9\u4e0a\u597d~\\n

\\n
\\n
\\n
\\n

\\n \\n \u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c\\n \\n

\\n

\\n \\n \u4e0d\u8d70\u51fa\u53bb\uff0c\\n \\n

\\n

\\n \\n \u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b\\n \\n

\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n
\\n

\\n
\\n

\\n
\\n
\\n
\\n
\\n

\\n
\\n
\\n
\\n

\\n
\\n

\\n
\\n \\n
\\n
\\n
\\n
\\n

\\n \\n \\n \u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~\\n \\n \\n

\\n

\\n
\\n

\\n
\\n
\\n
\\n
\\n
\\n

\\n \\n

\\n

\\n \\n

\\n
\\n
\\n

\\n \\n

\\n
\\n' [/STATE]\n return {\n 'content_html': content_html,\n 'content_img_list': all_img_list\n }\n\nget_article_detail('\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n\\n\\n \\n\\n \\n \\n \\n\\n\\n\\n\\n\\n', True, True)", "loop_code": "1: def get_article_detail(text, del_qqmusic=True, del_voice=True):\n2: \"\"\"\u6839\u636e\u5fae\u4fe1\u6587\u7ae0\u7684\u4e34\u65f6\u94fe\u63a5\u83b7\u53d6\u660e\u7ec6\n3:\n4: 1. \u83b7\u53d6\u6587\u672c\u4e2d\u6240\u6709\u7684\u56fe\u7247\u94fe\u63a5\u5217\u8868\n5: 2. \u83b7\u53d6\u5fae\u4fe1\u6587\u7ae0\u7684html\u5185\u5bb9\u9875\u9762(\u53bb\u9664\u6807\u9898\u7b49\u4fe1\u606f)\n6:\n7: Parameters\n8: ----------\n9: text : str or unicode\n10: \u4e00\u7bc7\u5fae\u4fe1\u6587\u7ae0\u7684\u6587\u672c\n11: del_qqmusic: bool\n12: \u5220\u9664\u6587\u7ae0\u4e2d\u7684qq\u97f3\u4e50\n13: del_voice: bool\n14: \u5220\u9664\u6587\u7ae0\u4e2d\u7684\u8bed\u97f3\u5185\u5bb9\n15:\n16: Returns\n17: -------\n18: dict\n19: {\n20: 'content_html': str # \u5fae\u4fe1\u6587\u672c\u5185\u5bb9\n21: 'content_img_list': list[img_url1, img_url2, ...] # \u5fae\u4fe1\u6587\u672c\u4e2d\u56fe\u7247\u5217\u8868\n22:\n23: }\n24: \"\"\"\n25: # 1. \u83b7\u53d6\u5fae\u4fe1\u6587\u672ccontent\n26: html_obj = BeautifulSoup(text, \"lxml\")\n27: content_text = html_obj.find('div', {'class': 'rich_media_content', 'id': 'js_content'})\n28:\n29: # 2. \u5220\u9664\u90e8\u5206\u6807\u7b7e\n30: if del_qqmusic:\n31: qqmusic = content_text.find_all('qqmusic') or []\n32: for music in qqmusic:\n33: music.parent.decompose()\n34:\n35: if del_voice:\n36: # voice\u662f\u4e00\u4e2ap\u6807\u7b7e\u4e0b\u7684mpvoice\u6807\u7b7e\u4ee5\u53caclass\u4e3a'js_audio_frame db'\u7684span\u6784\u6210\uff0c\u6240\u4ee5\u5c06\u7236\u6807\u7b7e\u5220\u9664\n37: voices = content_text.find_all('mpvoice') or []\n38: for voice in voices:\n39: voice.parent.decompose()\n40:\n41: # 3. \u83b7\u53d6\u6240\u6709\u7684\u56fe\u7247 [img\u6807\u7b7e\uff0c\u548cstyle\u4e2d\u7684background-image]\n42: all_img_set = set()\n43: all_img_element = content_text.find_all('img') or []\n44: for ele in all_img_element:\n45: # \u5220\u9664\u90e8\u5206\u5c5e\u6027\n46: img_url = format_image_url(ele.attrs['data-src'])\n47: del ele.attrs['data-src']\n48:\n49: ele.attrs['src'] = img_url\n50:\n51: if not img_url.startswith('http'):\n52: raise WechatSogouException('img_url [{}] \u4e0d\u5408\u6cd5'.format(img_url))\n53: all_img_set.add(img_url)\n54:\n55: backgroud_image = content_text.find_all(style=re.compile(\"background-image\")) or []\n56: for ele in backgroud_image:\n57: # \u5220\u9664\u90e8\u5206\u5c5e\u6027\n58: if ele.attrs.get('data-src'):\n59: del ele.attrs['data-src']\n60:\n61: if ele.attrs.get('data-wxurl'):\n62: del ele.attrs['data-wxurl']\n63: img_url = re.findall(backgroud_image_p, str(ele))\n64: if not img_url:\n65: continue\n66: all_img_set.add(img_url[0])\n67:\n68: # 4. \u5904\u7406iframe\n69: all_img_element = content_text.find_all('iframe') or []\n70: for ele in all_img_element:\n71: # \u5220\u9664\u90e8\u5206\u5c5e\u6027\n72: img_url = ele.attrs['data-src']\n73: del ele.attrs['data-src']\n74: ele.attrs['src'] = img_url\n75:\n76: # 5. \u8fd4\u56de\u6570\u636e\n77: all_img_list = list(all_img_set)\n78: content_html = content_text.prettify()\n79: # \u53bb\u9664div[id=js_content]\n80: content_html = re.findall(js_content, content_html)[0][0]\n81: return {\n82: 'content_html': content_html,\n83: 'content_img_list': all_img_list\n84: }\n85:\n86: get_article_detail('\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n\\n\\n \\n\\n \\n \\n \\n\\n\\n\\n\\n\\n', True, True)", "question": "What is the value of ' content_text ' in line '33' after '1' th iteration when 'get_article_detail('\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n\\n\\n \\n\\n \\n \\n \\n\\n\\n\\n\\n\\n', True, True)' is executed?", "answer": "

\u00a0\u65e9\u4e0a\u597d~

\u4e0d\u8981\u603b\u5446\u5728\u81ea\u5df1\u7684\u8212\u9002\u5708\u91cc\uff0c

\u4e0d\u8d70\u51fa\u53bb\uff0c

\u4f60\u5f88\u96be\u53d1\u73b0\u81ea\u5df1\u7684\u6f5c\u529b



\u6b22\u8fce\u5206\u4eab\u5230\u670b\u53cb\u5708~


"} +{"idx": 80, "scratchpad_format": "def fill_from_encoding(enc: str) -> List[str]:\n lst: List[str] = [] # [STATE] lst = [] [/STATE]\n for x in range(256): # [STATE] x = 0 [/STATE] [STATE] x = 1 [/STATE] [STATE] x = 2 [/STATE] [STATE] x = 3 [/STATE] [STATE] x = 4 [/STATE] [STATE] x = 5 [/STATE] [STATE] x = 6 [/STATE] [STATE] x = 7 [/STATE] [STATE] x = 8 [/STATE] [STATE] x = 9 [/STATE] [STATE] x = 10 [/STATE] [STATE] x = 11 [/STATE] [STATE] x = 12 [/STATE] [STATE] x = 13 [/STATE] [STATE] x = 14 [/STATE] [STATE] x = 15 [/STATE] [STATE] x = 16 [/STATE] [STATE] x = 17 [/STATE] [STATE] x = 18 [/STATE] [STATE] x = 19 [/STATE] [STATE] x = 20 [/STATE]\n try:\n lst += (bytes((x,)).decode(enc),) # [STATE] lst = ['\\x00'] [/STATE] [STATE] lst = ['\\x00', '\\x01'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13', '\\x14'] [/STATE]\n except Exception:\n lst += (chr(x),) # [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13', '\\x14', '\\x15', '\\x16', '\\x17', '\\x18', '\\x19', '\\x1a', '\\x1b', '\\x1c', '\\x1d', '\\x1e', '\\x1f', ' ', '!', '\"', '#', '$', '%', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '[', '\\\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', '\\x7f', '\u20ac', '\\x81'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13', '\\x14', '\\x15', '\\x16', '\\x17', '\\x18', '\\x19', '\\x1a', '\\x1b', '\\x1c', '\\x1d', '\\x1e', '\\x1f', ' ', '!', '\"', '#', '$', '%', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '[', '\\\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', '\\x7f', '\u20ac', '\\x81', '\u201a', '\u0192', '\u201e', '\u2026', '\u2020', '\u2021', '\u02c6', '\u2030', '\u0160', '\u2039', '\u0152', '\\x8d'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13', '\\x14', '\\x15', '\\x16', '\\x17', '\\x18', '\\x19', '\\x1a', '\\x1b', '\\x1c', '\\x1d', '\\x1e', '\\x1f', ' ', '!', '\"', '#', '$', '%', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '[', '\\\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', '\\x7f', '\u20ac', '\\x81', '\u201a', '\u0192', '\u201e', '\u2026', '\u2020', '\u2021', '\u02c6', '\u2030', '\u0160', '\u2039', '\u0152', '\\x8d', '\u017d', '\\x8f'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13', '\\x14', '\\x15', '\\x16', '\\x17', '\\x18', '\\x19', '\\x1a', '\\x1b', '\\x1c', '\\x1d', '\\x1e', '\\x1f', ' ', '!', '\"', '#', '$', '%', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '[', '\\\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', '\\x7f', '\u20ac', '\\x81', '\u201a', '\u0192', '\u201e', '\u2026', '\u2020', '\u2021', '\u02c6', '\u2030', '\u0160', '\u2039', '\u0152', '\\x8d', '\u017d', '\\x8f', '\\x90'] [/STATE] [STATE] lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13', '\\x14', '\\x15', '\\x16', '\\x17', '\\x18', '\\x19', '\\x1a', '\\x1b', '\\x1c', '\\x1d', '\\x1e', '\\x1f', ' ', '!', '\"', '#', '$', '%', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '[', '\\\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', '\\x7f', '\u20ac', '\\x81', '\u201a', '\u0192', '\u201e', '\u2026', '\u2020', '\u2021', '\u02c6', '\u2030', '\u0160', '\u2039', '\u0152', '\\x8d', '\u017d', '\\x8f', '\\x90', '\u2018', '\u2019', '\u201c', '\u201d', '\u2022', '\u2013', '\u2014', '\u02dc', '\u2122', '\u0161', '\u203a', '\u0153', '\\x9d'] [/STATE]\n return lst\n\nfill_from_encoding('cp1252')", "loop_code": "1: def fill_from_encoding(enc: str) -> List[str]:\n2: lst: List[str] = []\n3: for x in range(256):\n4: try:\n5: lst += (bytes((x,)).decode(enc),)\n6: except Exception:\n7: lst += (chr(x),)\n8: return lst\n9:\n10: fill_from_encoding('cp1252')", "question": "What is the value of ' lst ' in line '5' after '16' th iteration when 'fill_from_encoding('cp1252')' is executed?", "answer": " ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f'] ", "variable_assignment": " lst = ['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f'] "} +{"idx": 81, "scratchpad_format": "def rev_encoding(enc: List[str]) -> Dict[str, int]:\n rev: Dict[str, int] = {} # [STATE] rev = {} [/STATE]\n for i in range(256): # [STATE] i = 0 [/STATE] [STATE] i = 1 [/STATE] [STATE] i = 2 [/STATE] [STATE] i = 3 [/STATE] [STATE] i = 4 [/STATE] [STATE] i = 5 [/STATE] [STATE] i = 6 [/STATE] [STATE] i = 7 [/STATE] [STATE] i = 8 [/STATE] [STATE] i = 9 [/STATE] [STATE] i = 10 [/STATE] [STATE] i = 11 [/STATE] [STATE] i = 12 [/STATE] [STATE] i = 13 [/STATE] [STATE] i = 14 [/STATE] [STATE] i = 15 [/STATE] [STATE] i = 16 [/STATE] [STATE] i = 17 [/STATE] [STATE] i = 18 [/STATE] [STATE] i = 19 [/STATE] [STATE] i = 20 [/STATE]\n char = enc[i] # [STATE] char = '\\x00' [/STATE] [STATE] char = '\\x01' [/STATE] [STATE] char = '\\x02' [/STATE] [STATE] char = '\\x03' [/STATE] [STATE] char = '\\x04' [/STATE] [STATE] char = '\\x05' [/STATE] [STATE] char = '\\x06' [/STATE] [STATE] char = '\\x07' [/STATE] [STATE] char = '\\x08' [/STATE] [STATE] char = '\\t' [/STATE] [STATE] char = '\\n' [/STATE] [STATE] char = '\\x0b' [/STATE] [STATE] char = '\\x0c' [/STATE] [STATE] char = '\\r' [/STATE] [STATE] char = '\\x0e' [/STATE] [STATE] char = '\\x0f' [/STATE] [STATE] char = '\\x10' [/STATE] [STATE] char = '\\x11' [/STATE] [STATE] char = '\\x12' [/STATE] [STATE] char = '\\x13' [/STATE] [STATE] char = '\\x14' [/STATE]\n if char == \"\\u0000\":\n continue\n assert char not in rev, f\"{char} at {i} already at {rev[char]}\"\n rev[char] = i # [STATE] rev = {'\\x01': 1} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12, '\\r': 13} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12, '\\r': 13, '\\x0e': 14} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12, '\\r': 13, '\\x0e': 14, '\\x0f': 15} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12, '\\r': 13, '\\x0e': 14, '\\x0f': 15, '\\x10': 16} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12, '\\r': 13, '\\x0e': 14, '\\x0f': 15, '\\x10': 16, '\\x11': 17} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12, '\\r': 13, '\\x0e': 14, '\\x0f': 15, '\\x10': 16, '\\x11': 17, '\\x12': 18} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12, '\\r': 13, '\\x0e': 14, '\\x0f': 15, '\\x10': 16, '\\x11': 17, '\\x12': 18, '\\x13': 19} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12, '\\r': 13, '\\x0e': 14, '\\x0f': 15, '\\x10': 16, '\\x11': 17, '\\x12': 18, '\\x13': 19, '\\x14': 20} [/STATE] [STATE] rev = {'\\x01': 1, '\\x02': 2, '\\x03': 3, '\\x04': 4, '\\x05': 5, '\\x06': 6, '\\x07': 7, '\\x08': 8, '\\t': 9, '\\n': 10, '\\x0b': 11, '\\x0c': 12, '\\r': 13, '\\x0e': 14, '\\x0f': 15, '\\x10': 16, '\\x11': 17, '\\x12': 18, '\\x13': 19, '\\x14': 20, '\\x15': 21} [/STATE]\n return rev\n\nrev_encoding(['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13', '\\x14', '\\x15', '\\x16', '\\x17', '\\x18', '\\x19', '\\x1a', '\\x1b', '\\x1c', '\\x1d', '\\x1e', '\\x1f', ' ', '!', '\"', '#', '$', '%', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '[', '\\\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', '\\x7f', '\u20ac', '\\x81', '\u201a', '\u0192', '\u201e', '\u2026', '\u2020', '\u2021', '\u02c6', '\u2030', '\u0160', '\u2039', '\u0152', '\\x8d', '\u017d', '\\x8f', '\\x90', '\u2018', '\u2019', '\u201c', '\u201d', '\u2022', '\u2013', '\u2014', '\u02dc', '\u2122', '\u0161', '\u203a', '\u0153', '\\x9d', '\u017e', '\u0178', '\\xa0', '\u00a1', '\u00a2', '\u00a3', '\u00a4', '\u00a5', '\u00a6', '\u00a7', '\u00a8', '\u00a9', '\u00aa', '\u00ab', '\u00ac', '\\xad', '\u00ae', '\u00af', '\u00b0', '\u00b1', '\u00b2', '\u00b3', '\u00b4', '\u00b5', '\u00b6', '\u00b7', '\u00b8', '\u00b9', '\u00ba', '\u00bb', '\u00bc', '\u00bd', '\u00be', '\u00bf', '\u00c0', '\u00c1', '\u00c2', '\u00c3', '\u00c4', '\u00c5', '\u00c6', '\u00c7', '\u00c8', '\u00c9', '\u00ca', '\u00cb', '\u00cc', '\u00cd', '\u00ce', '\u00cf', '\u00d0', '\u00d1', '\u00d2', '\u00d3', '\u00d4', '\u00d5', '\u00d6', '\u00d7', '\u00d8', '\u00d9', '\u00da', '\u00db', '\u00dc', '\u00dd', '\u00de', '\u00df', '\u00e0', '\u00e1', '\u00e2', '\u00e3', '\u00e4', '\u00e5', '\u00e6', '\u00e7', '\u00e8', '\u00e9', '\u00ea', '\u00eb', '\u00ec', '\u00ed', '\u00ee', '\u00ef', '\u00f0', '\u00f1', '\u00f2', '\u00f3', '\u00f4', '\u00f5', '\u00f6', '\u00f7', '\u00f8', '\u00f9', '\u00fa', '\u00fb', '\u00fc', '\u00fd', '\u00fe', '\u00ff'])", "loop_code": "1: def rev_encoding(enc: List[str]) -> Dict[str, int]:\n2: rev: Dict[str, int] = {}\n3: for i in range(256):\n4: char = enc[i]\n5: if char == \"\\u0000\":\n6: continue\n7: assert char not in rev, f\"{char} at {i} already at {rev[char]}\"\n8: rev[char] = i\n9: return rev\n10:\n11: rev_encoding(['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13', '\\x14', '\\x15', '\\x16', '\\x17', '\\x18', '\\x19', '\\x1a', '\\x1b', '\\x1c', '\\x1d', '\\x1e', '\\x1f', ' ', '!', '\"', '#', '$', '%', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '[', '\\\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', '\\x7f', '\u20ac', '\\x81', '\u201a', '\u0192', '\u201e', '\u2026', '\u2020', '\u2021', '\u02c6', '\u2030', '\u0160', '\u2039', '\u0152', '\\x8d', '\u017d', '\\x8f', '\\x90', '\u2018', '\u2019', '\u201c', '\u201d', '\u2022', '\u2013', '\u2014', '\u02dc', '\u2122', '\u0161', '\u203a', '\u0153', '\\x9d', '\u017e', '\u0178', '\\xa0', '\u00a1', '\u00a2', '\u00a3', '\u00a4', '\u00a5', '\u00a6', '\u00a7', '\u00a8', '\u00a9', '\u00aa', '\u00ab', '\u00ac', '\\xad', '\u00ae', '\u00af', '\u00b0', '\u00b1', '\u00b2', '\u00b3', '\u00b4', '\u00b5', '\u00b6', '\u00b7', '\u00b8', '\u00b9', '\u00ba', '\u00bb', '\u00bc', '\u00bd', '\u00be', '\u00bf', '\u00c0', '\u00c1', '\u00c2', '\u00c3', '\u00c4', '\u00c5', '\u00c6', '\u00c7', '\u00c8', '\u00c9', '\u00ca', '\u00cb', '\u00cc', '\u00cd', '\u00ce', '\u00cf', '\u00d0', '\u00d1', '\u00d2', '\u00d3', '\u00d4', '\u00d5', '\u00d6', '\u00d7', '\u00d8', '\u00d9', '\u00da', '\u00db', '\u00dc', '\u00dd', '\u00de', '\u00df', '\u00e0', '\u00e1', '\u00e2', '\u00e3', '\u00e4', '\u00e5', '\u00e6', '\u00e7', '\u00e8', '\u00e9', '\u00ea', '\u00eb', '\u00ec', '\u00ed', '\u00ee', '\u00ef', '\u00f0', '\u00f1', '\u00f2', '\u00f3', '\u00f4', '\u00f5', '\u00f6', '\u00f7', '\u00f8', '\u00f9', '\u00fa', '\u00fb', '\u00fc', '\u00fd', '\u00fe', '\u00ff'])", "question": "What is the value of ' char ' in line '4' after '10' th iteration when 'rev_encoding(['\\x00', '\\x01', '\\x02', '\\x03', '\\x04', '\\x05', '\\x06', '\\x07', '\\x08', '\\t', '\\n', '\\x0b', '\\x0c', '\\r', '\\x0e', '\\x0f', '\\x10', '\\x11', '\\x12', '\\x13', '\\x14', '\\x15', '\\x16', '\\x17', '\\x18', '\\x19', '\\x1a', '\\x1b', '\\x1c', '\\x1d', '\\x1e', '\\x1f', ' ', '!', '\"', '#', '$', '%', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '[', '\\\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', '\\x7f', '\u20ac', '\\x81', '\u201a', '\u0192', '\u201e', '\u2026', '\u2020', '\u2021', '\u02c6', '\u2030', '\u0160', '\u2039', '\u0152', '\\x8d', '\u017d', '\\x8f', '\\x90', '\u2018', '\u2019', '\u201c', '\u201d', '\u2022', '\u2013', '\u2014', '\u02dc', '\u2122', '\u0161', '\u203a', '\u0153', '\\x9d', '\u017e', '\u0178', '\\xa0', '\u00a1', '\u00a2', '\u00a3', '\u00a4', '\u00a5', '\u00a6', '\u00a7', '\u00a8', '\u00a9', '\u00aa', '\u00ab', '\u00ac', '\\xad', '\u00ae', '\u00af', '\u00b0', '\u00b1', '\u00b2', '\u00b3', '\u00b4', '\u00b5', '\u00b6', '\u00b7', '\u00b8', '\u00b9', '\u00ba', '\u00bb', '\u00bc', '\u00bd', '\u00be', '\u00bf', '\u00c0', '\u00c1', '\u00c2', '\u00c3', '\u00c4', '\u00c5', '\u00c6', '\u00c7', '\u00c8', '\u00c9', '\u00ca', '\u00cb', '\u00cc', '\u00cd', '\u00ce', '\u00cf', '\u00d0', '\u00d1', '\u00d2', '\u00d3', '\u00d4', '\u00d5', '\u00d6', '\u00d7', '\u00d8', '\u00d9', '\u00da', '\u00db', '\u00dc', '\u00dd', '\u00de', '\u00df', '\u00e0', '\u00e1', '\u00e2', '\u00e3', '\u00e4', '\u00e5', '\u00e6', '\u00e7', '\u00e8', '\u00e9', '\u00ea', '\u00eb', '\u00ec', '\u00ed', '\u00ee', '\u00ef', '\u00f0', '\u00f1', '\u00f2', '\u00f3', '\u00f4', '\u00f5', '\u00f6', '\u00f7', '\u00f8', '\u00f9', '\u00fa', '\u00fb', '\u00fc', '\u00fd', '\u00fe', '\u00ff'])' is executed?", "answer": " '\\t' ", "variable_assignment": " char = '\\t' "} +{"idx": 82, "scratchpad_format": "def show_android_class_methods(args: list = None) -> None:\n \"\"\"\n Shows the methods available on an Android class.\n\n :param args:\n :return:\n \"\"\"\n\n if len(clean_argument_flags(args)) <= 0:\n click.secho('Usage: android hooking list class_methods ', bold=True)\n return\n\n class_name = args[0] # [STATE] class_name = 'com.foo.bar' [/STATE]\n\n api = state_connection.get_api() # [STATE] api = [/STATE]\n methods = api.android_hooking_get_class_methods(class_name) # [STATE] methods = ['foo', 'bar', 'baz'] [/STATE]\n\n # print the enumerated classes\n for class_name in sorted(methods): # [STATE] class_name = 'bar' [/STATE] [STATE] class_name = 'baz' [/STATE] [STATE] class_name = 'foo' [/STATE]\n click.secho(class_name)\n\n click.secho('\\nFound {0} method(s)'.format(len(methods)), bold=True)\n\nshow_android_class_methods(['com.foo.bar'])", "loop_code": "1: def show_android_class_methods(args: list = None) -> None:\n2: \"\"\"\n3: Shows the methods available on an Android class.\n4:\n5: :param args:\n6: :return:\n7: \"\"\"\n8:\n9: if len(clean_argument_flags(args)) <= 0:\n10: click.secho('Usage: android hooking list class_methods ', bold=True)\n11: return\n12:\n13: class_name = args[0]\n14:\n15: api = state_connection.get_api()\n16: methods = api.android_hooking_get_class_methods(class_name)\n17:\n18: # print the enumerated classes\n19: for class_name in sorted(methods):\n20: click.secho(class_name)\n21:\n22: click.secho('\\nFound {0} method(s)'.format(len(methods)), bold=True)\n23:\n24: show_android_class_methods(['com.foo.bar'])", "question": "What is the value of ' class_name ' in line '19' after '2' th iteration when 'show_android_class_methods(['com.foo.bar'])' is executed?", "answer": " 'baz' ", "variable_assignment": " class_name = 'baz' "} +{"idx": 83, "scratchpad_format": "def show_registered_activities(args: list = None) -> None:\n \"\"\"\n Enumerate all registered Activities\n\n :return:\n \"\"\"\n\n api = state_connection.get_api() # [STATE] api = [/STATE]\n activities = api.android_hooking_list_activities() # [STATE] activities = ['foo', 'bar', 'baz'] [/STATE]\n\n for class_name in sorted(activities): # [STATE] class_name = 'bar' [/STATE] [STATE] class_name = 'baz' [/STATE] [STATE] class_name = 'foo' [/STATE]\n click.secho(class_name)\n\n click.secho('\\nFound {0} classes'.format(len(activities)), bold=True)\n\nshow_registered_activities([])", "loop_code": "1: def show_registered_activities(args: list = None) -> None:\n2: \"\"\"\n3: Enumerate all registered Activities\n4:\n5: :return:\n6: \"\"\"\n7:\n8: api = state_connection.get_api()\n9: activities = api.android_hooking_list_activities()\n10:\n11: for class_name in sorted(activities):\n12: click.secho(class_name)\n13:\n14: click.secho('\\nFound {0} classes'.format(len(activities)), bold=True)\n15:\n16: show_registered_activities([])", "question": "What is the value of ' class_name ' in line '11' after '1' th iteration when 'show_registered_activities([])' is executed?", "answer": " 'bar' ", "variable_assignment": " class_name = 'bar' "} +{"idx": 84, "scratchpad_format": "def show_registered_broadcast_receivers(args: list = None) -> None:\n \"\"\"\n Enumerate all registered BroadcastReceivers\n\n :return:\n \"\"\"\n\n api = state_connection.get_api() # [STATE] api = [/STATE]\n receivers = api.android_hooking_list_broadcast_receivers() # [STATE] receivers = ['foo', 'bar', 'baz'] [/STATE]\n\n for class_name in sorted(receivers): # [STATE] class_name = 'bar' [/STATE] [STATE] class_name = 'baz' [/STATE] [STATE] class_name = 'foo' [/STATE]\n click.secho(class_name)\n\n click.secho('\\nFound {0} classes'.format(len(receivers)), bold=True)\n\nshow_registered_broadcast_receivers([])", "loop_code": "1: def show_registered_broadcast_receivers(args: list = None) -> None:\n2: \"\"\"\n3: Enumerate all registered BroadcastReceivers\n4:\n5: :return:\n6: \"\"\"\n7:\n8: api = state_connection.get_api()\n9: receivers = api.android_hooking_list_broadcast_receivers()\n10:\n11: for class_name in sorted(receivers):\n12: click.secho(class_name)\n13:\n14: click.secho('\\nFound {0} classes'.format(len(receivers)), bold=True)\n15:\n16: show_registered_broadcast_receivers([])", "question": "What is the value of ' class_name ' in line '11' after '1' th iteration when 'show_registered_broadcast_receivers([])' is executed?", "answer": " 'bar' ", "variable_assignment": " class_name = 'bar' "} +{"idx": 85, "scratchpad_format": "def _class_is_prefixed_with_native(class_name: str) -> bool:\n \"\"\"\n Check if a class name received is prefixed with one of the\n prefixes in the native_prefixes list.\n\n :param class_name:\n :return:\n \"\"\"\n\n for prefix in native_prefixes: # [STATE] prefix = '_' [/STATE] [STATE] prefix = 'NS' [/STATE] [STATE] prefix = 'CF' [/STATE] [STATE] prefix = 'OS_' [/STATE] [STATE] prefix = 'UI' [/STATE] [STATE] prefix = 'AWD' [/STATE] [STATE] prefix = 'GEO' [/STATE] [STATE] prefix = 'AC' [/STATE] [STATE] prefix = 'AF' [/STATE] [STATE] prefix = 'AU' [/STATE] [STATE] prefix = 'AV' [/STATE] [STATE] prefix = 'BK' [/STATE] [STATE] prefix = 'BS' [/STATE] [STATE] prefix = 'CA' [/STATE] [STATE] prefix = 'CB' [/STATE] [STATE] prefix = 'CI' [/STATE] [STATE] prefix = 'CL' [/STATE] [STATE] prefix = 'CT' [/STATE] [STATE] prefix = 'CUI' [/STATE] [STATE] prefix = 'DOM' [/STATE] [STATE] prefix = 'FBS' [/STATE]\n\n if class_name.startswith(prefix):\n return True\n\n return False\n\n_class_is_prefixed_with_native('FooBar')", "loop_code": "1: def _class_is_prefixed_with_native(class_name: str) -> bool:\n2: \"\"\"\n3: Check if a class name received is prefixed with one of the\n4: prefixes in the native_prefixes list.\n5:\n6: :param class_name:\n7: :return:\n8: \"\"\"\n9:\n10: for prefix in native_prefixes:\n11:\n12: if class_name.startswith(prefix):\n13: return True\n14:\n15: return False\n16:\n17: _class_is_prefixed_with_native('FooBar')", "question": "What is the value of ' prefix ' in line '10' after '8' th iteration when '_class_is_prefixed_with_native('FooBar')' is executed?", "answer": " 'AC' ", "variable_assignment": " prefix = 'AC' "} +{"idx": 86, "scratchpad_format": "def show_ios_class_methods(args: list) -> None:\n \"\"\"\n Displays the methods available in a class.\n\n :param args:\n :return:\n \"\"\"\n\n if len(clean_argument_flags(args)) <= 0:\n click.secho('Usage: ios hooking list class_methods (--include-parents)', bold=True)\n return\n\n classname = args[0] # [STATE] classname = 'TEKeychainManager' [/STATE]\n\n api = state_connection.get_api() # [STATE] api = [/STATE]\n methods = api.ios_hooking_get_class_methods(classname, _should_include_parent_methods(args)) # [STATE] methods = ['foo', 'bar'] [/STATE]\n\n if len(methods) > 0:\n\n # dump the methods to screen\n for method in methods: # [STATE] method = 'foo' [/STATE] [STATE] method = 'bar' [/STATE]\n click.secho(method)\n\n click.secho('\\nFound {0} methods'.format(len(methods)), bold=True)\n\n else:\n click.secho('No class / methods found')\n\nshow_ios_class_methods(['TEKeychainManager'])", "loop_code": "1: def show_ios_class_methods(args: list) -> None:\n2: \"\"\"\n3: Displays the methods available in a class.\n4:\n5: :param args:\n6: :return:\n7: \"\"\"\n8:\n9: if len(clean_argument_flags(args)) <= 0:\n10: click.secho('Usage: ios hooking list class_methods (--include-parents)', bold=True)\n11: return\n12:\n13: classname = args[0]\n14:\n15: api = state_connection.get_api()\n16: methods = api.ios_hooking_get_class_methods(classname, _should_include_parent_methods(args))\n17:\n18: if len(methods) > 0:\n19:\n20: # dump the methods to screen\n21: for method in methods:\n22: click.secho(method)\n23:\n24: click.secho('\\nFound {0} methods'.format(len(methods)), bold=True)\n25:\n26: else:\n27: click.secho('No class / methods found')\n28:\n29: show_ios_class_methods(['TEKeychainManager'])", "question": "What is the value of ' method ' in line '21' after '2' th iteration when 'show_ios_class_methods(['TEKeychainManager'])' is executed?", "answer": " 'bar' ", "variable_assignment": " method = 'bar' "} +{"idx": 87, "scratchpad_format": "def save(args: list) -> None:\n \"\"\"\n Save the current sessions command history to a file.\n\n :param args:\n :return:\n \"\"\"\n\n if len(args) <= 0:\n click.secho('Usage: commands save ', bold=True)\n return\n\n destination = os.path.expanduser(args[0]) if args[0].startswith('~') else args[0] # [STATE] destination = 'foo.rc' [/STATE]\n\n with open(destination, 'w') as f: # [STATE] f = [/STATE]\n for command in app_state.successful_commands: # [STATE] command = 'foo' [/STATE] [STATE] command = 'bar' [/STATE]\n f.write('{0}\\n'.format(command))\n\n click.secho('Saved commands to: {0}'.format(destination), fg='green')\n\nsave(['foo.rc'])", "loop_code": "1: def save(args: list) -> None:\n2: \"\"\"\n3: Save the current sessions command history to a file.\n4:\n5: :param args:\n6: :return:\n7: \"\"\"\n8:\n9: if len(args) <= 0:\n10: click.secho('Usage: commands save ', bold=True)\n11: return\n12:\n13: destination = os.path.expanduser(args[0]) if args[0].startswith('~') else args[0]\n14:\n15: with open(destination, 'w') as f:\n16: for command in app_state.successful_commands:\n17: f.write('{0}\\n'.format(command))\n18:\n19: click.secho('Saved commands to: {0}'.format(destination), fg='green')\n20:\n21: save(['foo.rc'])", "question": "What is the value of ' command ' in line '16' after '2' th iteration when 'save(['foo.rc'])' is executed?", "answer": " 'bar' ", "variable_assignment": " command = 'bar' "} +{"idx": 88, "scratchpad_format": "def dump_all(args: list) -> None:\n \"\"\"\n Dump memory from the currently injected process.\n Loosely based on:\n https://github.com/Nightbringer21/fridump\n\n :param args:\n :return:\n \"\"\"\n\n if len(clean_argument_flags(args)) <= 0:\n click.secho('Usage: memory dump all ', bold=True)\n return\n\n # the destination file to write the dump to\n destination = args[0] # [STATE] destination = '/foo' [/STATE]\n\n # Check for file override\n if os.path.exists(destination):\n click.secho('Destination file {dest} already exists'.format(dest=destination), fg='yellow', bold=True)\n if not click.confirm('Continue, appending to the file?'):\n return\n\n # access type used when enumerating ranges\n access = 'rw-' # [STATE] access = 'rw-' [/STATE]\n\n api = state_connection.get_api() # [STATE] api = [/STATE]\n ranges = api.memory_list_ranges(access) # [STATE] ranges = [{'size': 100, 'base': '0x7fff90800000'}] [/STATE]\n\n total_size = sum([x['size'] for x in ranges]) # [STATE] total_size = 100 [/STATE]\n click.secho('Will dump {0} {1} images, totalling {2}'.format(\n len(ranges), access, sizeof_fmt(total_size)), fg='green', dim=True)\n\n with click.progressbar(ranges) as bar: # [STATE] bar = {fill_char='#', empty_char='-', bar_template='%(label)s [%(bar)s] %(info)s', info_sep=' ', show_eta=True, show_percent=None, show_pos=False, item_show_func=None, label='', file=<_io.StringIO object at 0x7f5e07a3a3a0>, color=None, update_min_steps=1, _completed_intervals=0, width=36, autowidth=False, iter=, length=1, pos=0, avg=[], start=1712231192.5557132, last_eta=1712231192.5557132, eta_known=False, finished=False, max_width=None, entered=True, current_item=None, is_hidden=True, _last_line=''} [/STATE]\n for image in bar: # [STATE] image = {'size': 100, 'base': '0x7fff90800000'} [/STATE]\n dump = bytearray() # [STATE] dump = bytearray(b'') [/STATE]\n bar.label = 'Dumping {0} from base: {1}'.format(sizeof_fmt(image['size']), hex(int(image['base'], 16))) # [STATE] bar = {fill_char='#', empty_char='-', bar_template='%(label)s [%(bar)s] %(info)s', info_sep=' ', show_eta=True, show_percent=None, show_pos=False, item_show_func=None, label='Dumping 100.0 B from base: 0x7fff90800000', file=<_io.StringIO object at 0x7f5e07a3a3a0>, color=None, update_min_steps=1, _completed_intervals=0, width=36, autowidth=False, iter=, length=1, pos=0, avg=[], start=1712231192.5557132, last_eta=1712231192.5557132, eta_known=False, finished=False, max_width=None, entered=True, current_item=None, is_hidden=True, _last_line=''} [/STATE]\n\n # catch and exception thrown while dumping.\n # this could for a few reasons like if the protection\n # changes or the range is reallocated\n try:\n # grab the (size) bytes starting at the (base_address) in chunks of BLOCK_SIZE\n chunks = _get_chunks(int(image['base'], 16), int(image['size']), BLOCK_SIZE) # [STATE] chunks = [(140735617695744, 100)] [/STATE]\n for chunk in chunks: # [STATE] chunk = (140735617695744, 100) [/STATE]\n dump.extend(bytearray(api.memory_dump(chunk[0], chunk[1]))) # [STATE] dump = bytearray(b'\\x00') [/STATE]\n\n except Exception as e:\n continue\n\n # append the results to the destination file\n with open(destination, 'ab') as f: # [STATE] f = [/STATE]\n f.write(dump)\n\n click.secho('Memory dumped to file: {0}'.format(destination), fg='green')\n\ndump_all(['/foo'])", "loop_code": "1: def dump_all(args: list) -> None:\n2: \"\"\"\n3: Dump memory from the currently injected process.\n4: Loosely based on:\n5: https://github.com/Nightbringer21/fridump\n6:\n7: :param args:\n8: :return:\n9: \"\"\"\n10:\n11: if len(clean_argument_flags(args)) <= 0:\n12: click.secho('Usage: memory dump all ', bold=True)\n13: return\n14:\n15: # the destination file to write the dump to\n16: destination = args[0]\n17:\n18: # Check for file override\n19: if os.path.exists(destination):\n20: click.secho('Destination file {dest} already exists'.format(dest=destination), fg='yellow', bold=True)\n21: if not click.confirm('Continue, appending to the file?'):\n22: return\n23:\n24: # access type used when enumerating ranges\n25: access = 'rw-'\n26:\n27: api = state_connection.get_api()\n28: ranges = api.memory_list_ranges(access)\n29:\n30: total_size = sum([x['size'] for x in ranges])\n31: click.secho('Will dump {0} {1} images, totalling {2}'.format(\n32: len(ranges), access, sizeof_fmt(total_size)), fg='green', dim=True)\n33:\n34: with click.progressbar(ranges) as bar:\n35: for image in bar:\n36: dump = bytearray()\n37: bar.label = 'Dumping {0} from base: {1}'.format(sizeof_fmt(image['size']), hex(int(image['base'], 16)))\n38:\n39: # catch and exception thrown while dumping.\n40: # this could for a few reasons like if the protection\n41: # changes or the range is reallocated\n42: try:\n43: # grab the (size) bytes starting at the (base_address) in chunks of BLOCK_SIZE\n44: chunks = _get_chunks(int(image['base'], 16), int(image['size']), BLOCK_SIZE)\n45: for chunk in chunks:\n46: dump.extend(bytearray(api.memory_dump(chunk[0], chunk[1])))\n47:\n48: except Exception as e:\n49: continue\n50:\n51: # append the results to the destination file\n52: with open(destination, 'ab') as f:\n53: f.write(dump)\n54:\n55: click.secho('Memory dumped to file: {0}'.format(destination), fg='green')\n56:\n57: dump_all(['/foo'])", "question": "What is the value of ' dump ' in line '36' after '1' th iteration when 'dump_all(['/foo'])' is executed?", "answer": " bytearray(b'') ", "variable_assignment": " dump = bytearray(b'') "} +{"idx": 89, "scratchpad_format": "def dump_from_base(args: list) -> None:\n \"\"\"\n Dump memory from a base address for a specific size to file\n\n :param args:\n :return:\n \"\"\"\n\n if len(clean_argument_flags(args)) < 3:\n click.secho('Usage: memory dump from_base ', bold=True)\n return\n\n # the destination file to write the dump to\n base_address = args[0] # [STATE] base_address = '0x00008000' [/STATE]\n memory_size = args[1] # [STATE] memory_size = '200' [/STATE]\n destination = args[2] # [STATE] destination = '/foo' [/STATE]\n\n # Check for file override\n if os.path.exists(destination):\n click.secho('Destination file {dest} already exists'.format(dest=destination), fg='yellow', bold=True)\n if not click.confirm('Override?'):\n return\n\n click.secho('Dumping {0} from {1} to {2}'.format(sizeof_fmt(int(memory_size)), base_address, destination),\n fg='green', dim=True)\n\n api = state_connection.get_api() # [STATE] api = [/STATE]\n\n # iirc, if you don't cast the return type to a bytearray it uses the sizeof(int) per cell, which is massive\n dump = bytearray() # [STATE] dump = bytearray(b'') [/STATE]\n chunks = _get_chunks(int(base_address, 16), int(memory_size), BLOCK_SIZE) # [STATE] chunks = [(32768, 200)] [/STATE]\n for chunk in chunks: # [STATE] chunk = (32768, 200) [/STATE]\n dump.extend(bytearray(api.memory_dump(chunk[0], chunk[1]))) # [STATE] dump = bytearray(b'\\x00') [/STATE]\n\n # append the results to the destination file\n with open(destination, 'wb') as f: # [STATE] f = [/STATE]\n f.write(dump)\n\n click.secho('Memory dumped to file: {0}'.format(destination), fg='green')\n\ndump_from_base(['0x00008000', '200', '/foo'])", "loop_code": "1: def dump_from_base(args: list) -> None:\n2: \"\"\"\n3: Dump memory from a base address for a specific size to file\n4:\n5: :param args:\n6: :return:\n7: \"\"\"\n8:\n9: if len(clean_argument_flags(args)) < 3:\n10: click.secho('Usage: memory dump from_base ', bold=True)\n11: return\n12:\n13: # the destination file to write the dump to\n14: base_address = args[0]\n15: memory_size = args[1]\n16: destination = args[2]\n17:\n18: # Check for file override\n19: if os.path.exists(destination):\n20: click.secho('Destination file {dest} already exists'.format(dest=destination), fg='yellow', bold=True)\n21: if not click.confirm('Override?'):\n22: return\n23:\n24: click.secho('Dumping {0} from {1} to {2}'.format(sizeof_fmt(int(memory_size)), base_address, destination),\n25: fg='green', dim=True)\n26:\n27: api = state_connection.get_api()\n28:\n29: # iirc, if you don't cast the return type to a bytearray it uses the sizeof(int) per cell, which is massive\n30: dump = bytearray()\n31: chunks = _get_chunks(int(base_address, 16), int(memory_size), BLOCK_SIZE)\n32: for chunk in chunks:\n33: dump.extend(bytearray(api.memory_dump(chunk[0], chunk[1])))\n34:\n35: # append the results to the destination file\n36: with open(destination, 'wb') as f:\n37: f.write(dump)\n38:\n39: click.secho('Memory dumped to file: {0}'.format(destination), fg='green')\n40:\n41: dump_from_base(['0x00008000', '200', '/foo'])", "question": "What is the value of ' dump ' in line '33' after '1' th iteration when 'dump_from_base(['0x00008000', '200', '/foo'])' is executed?", "answer": " bytearray(b'\\x00') ", "variable_assignment": " dump = bytearray(b'\\x00') "} +{"idx": 90, "scratchpad_format": "def _load_config_from_file(default_config, filename):\n import yaml # [STATE] yaml = [/STATE]\n\n update = {} # [STATE] update = {} [/STATE]\n if not os.path.exists(filename):\n return update\n\n with open(filename) as f: # [STATE] f = <_io.TextIOWrapper name='/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/etc/config.yaml' mode='r' encoding='UTF-8'> [/STATE]\n newconfig = yaml.load(f.read(), Loader=yaml.SafeLoader) # [STATE] newconfig = {'server': {'address': '0.0.0.0'}, 'cache': {'type': 'redis'}} [/STATE]\n for key, val in default_config.items(): # [STATE] key = 'adapters.active' [/STATE] [STATE] val = ['tldr', 'cheat', 'fosdem', 'translation', 'rosetta', 'late.nz', 'question', 'cheat.sheets', 'cheat.sheets dir', 'learnxiny', 'rfc', 'oeis', 'chmod'] [/STATE] [STATE] key = 'adapters.mandatory' [/STATE] [STATE] val = ['search'] [/STATE] [STATE] key = 'cache.redis.db' [/STATE] [STATE] val = 0 [/STATE] [STATE] key = 'cache.redis.host' [/STATE] [STATE] val = 'localhost' [/STATE] [STATE] key = 'cache.redis.port' [/STATE] [STATE] val = 6379 [/STATE] [STATE] key = 'cache.redis.prefix' [/STATE] [STATE] val = '' [/STATE] [STATE] key = 'cache.type' [/STATE] [STATE] val = 'redis' [/STATE] [STATE] key = 'frontend.styles' [/STATE] [STATE] val = ['abap', 'algol', 'algol_nu', 'arduino', 'autumn', 'borland', 'bw', 'colorful', 'default', 'dracula', 'emacs', 'friendly', 'friendly_grayscale', 'fruity', 'github-dark', 'gruvbox-dark', 'gruvbox-light', 'igor', 'inkpot', 'lightbulb', 'lilypond', 'lovelace', 'manni', 'material', 'monokai', 'murphy', 'native', 'nord', 'nord-darker', 'one-dark', 'paraiso-dark', 'paraiso-light', 'pastie', 'perldoc', 'rainbow_dash', 'rrt', 'sas', 'solarized-dark', 'solarized-light', 'staroffice', 'stata-dark', 'stata-light', 'tango', 'trac', 'vim', 'vs', 'xcode', 'zenburn'] [/STATE] [STATE] key = 'log.level' [/STATE] [STATE] val = 4 [/STATE] [STATE] key = 'path.internal.ansi2html' [/STATE] [STATE] val = '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/ansi2html.sh' [/STATE] [STATE] key = 'path.internal.bin' [/STATE]\n newval = _get_nested(newconfig, key) # [STATE] newval = None [/STATE] [STATE] newval = 'redis' [/STATE]\n if newval is None:\n continue\n\n if isinstance(val, int):\n try:\n newval = int(newval)\n except (ValueError, TypeError):\n continue\n\n update[key] = newval # [STATE] update = {'cache.type': 'redis'} [/STATE]\n\n return update\n\n_load_config_from_file({'adapters.active': ['tldr', 'cheat', 'fosdem', 'translation', 'rosetta', 'late.nz', 'question', 'cheat.sheets', 'cheat.sheets dir', 'learnxiny', 'rfc', 'oeis', 'chmod'], 'adapters.mandatory': ['search'], 'cache.redis.db': 0, 'cache.redis.host': 'localhost', 'cache.redis.port': 6379, 'cache.redis.prefix': '', 'cache.type': 'redis', 'frontend.styles': ['abap', 'algol', 'algol_nu', 'arduino', 'autumn', 'borland', 'bw', 'colorful', 'default', 'dracula', 'emacs', 'friendly', 'friendly_grayscale', 'fruity', 'github-dark', 'gruvbox-dark', 'gruvbox-light', 'igor', 'inkpot', 'lightbulb', 'lilypond', 'lovelace', 'manni', 'material', 'monokai', 'murphy', 'native', 'nord', 'nord-darker', 'one-dark', 'paraiso-dark', 'paraiso-light', 'pastie', 'perldoc', 'rainbow_dash', 'rrt', 'sas', 'solarized-dark', 'solarized-light', 'staroffice', 'stata-dark', 'stata-light', 'tango', 'trac', 'vim', 'vs', 'xcode', 'zenburn'], 'log.level': 4, 'path.internal.ansi2html': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/ansi2html.sh', 'path.internal.bin': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/bin', 'path.internal.bin.upstream': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/bin/upstream', 'path.internal.malformed': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/static/malformed-response.html', 'path.internal.pages': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share', 'path.internal.static': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/static', 'path.internal.templates': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/templates', 'path.internal.vim': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/vim', 'path.log.main': 'log/main.log', 'path.log.queries': 'log/queries.log', 'path.log.fetch': 'log/fetch.log', 'path.repositories': 'upstream', 'path.spool': 'spool', 'path.workdir': '/home/XXX/.cheat.sh', 'routing.pre': [('^$', 'search'), ('^[^/]*/rosetta(/|$)', 'rosetta'), ('^rfc/', 'rfc'), ('^oeis/', 'oeis'), ('^chmod/', 'chmod'), ('^:', 'internal'), ('/:list$', 'internal'), ('/$', 'cheat.sheets dir')], 'routing.main': [('', 'cheat.sheets'), ('', 'cheat'), ('', 'tldr'), ('', 'late.nz'), ('', 'fosdem'), ('', 'learnxiny')], 'routing.post': [('^[^/ +]*$', 'unknown'), ('^[a-z][a-z]-[a-z][a-z]$', 'translation')], 'routing.default': 'question', 'upstream.url': 'https://cheat.sh', 'upstream.timeout': 5, 'search.limit': 20, 'server.bind': '0.0.0.0', 'server.port': 8002}, '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/etc/config.yaml')", "loop_code": "1: def _load_config_from_file(default_config, filename):\n2: import yaml\n3:\n4: update = {}\n5: if not os.path.exists(filename):\n6: return update\n7:\n8: with open(filename) as f:\n9: newconfig = yaml.load(f.read(), Loader=yaml.SafeLoader)\n10: for key, val in default_config.items():\n11: newval = _get_nested(newconfig, key)\n12: if newval is None:\n13: continue\n14:\n15: if isinstance(val, int):\n16: try:\n17: newval = int(newval)\n18: except (ValueError, TypeError):\n19: continue\n20:\n21: update[key] = newval\n22:\n23: return update\n24:\n25: _load_config_from_file({'adapters.active': ['tldr', 'cheat', 'fosdem', 'translation', 'rosetta', 'late.nz', 'question', 'cheat.sheets', 'cheat.sheets dir', 'learnxiny', 'rfc', 'oeis', 'chmod'], 'adapters.mandatory': ['search'], 'cache.redis.db': 0, 'cache.redis.host': 'localhost', 'cache.redis.port': 6379, 'cache.redis.prefix': '', 'cache.type': 'redis', 'frontend.styles': ['abap', 'algol', 'algol_nu', 'arduino', 'autumn', 'borland', 'bw', 'colorful', 'default', 'dracula', 'emacs', 'friendly', 'friendly_grayscale', 'fruity', 'github-dark', 'gruvbox-dark', 'gruvbox-light', 'igor', 'inkpot', 'lightbulb', 'lilypond', 'lovelace', 'manni', 'material', 'monokai', 'murphy', 'native', 'nord', 'nord-darker', 'one-dark', 'paraiso-dark', 'paraiso-light', 'pastie', 'perldoc', 'rainbow_dash', 'rrt', 'sas', 'solarized-dark', 'solarized-light', 'staroffice', 'stata-dark', 'stata-light', 'tango', 'trac', 'vim', 'vs', 'xcode', 'zenburn'], 'log.level': 4, 'path.internal.ansi2html': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/ansi2html.sh', 'path.internal.bin': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/bin', 'path.internal.bin.upstream': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/bin/upstream', 'path.internal.malformed': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/static/malformed-response.html', 'path.internal.pages': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share', 'path.internal.static': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/static', 'path.internal.templates': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/templates', 'path.internal.vim': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/vim', 'path.log.main': 'log/main.log', 'path.log.queries': 'log/queries.log', 'path.log.fetch': 'log/fetch.log', 'path.repositories': 'upstream', 'path.spool': 'spool', 'path.workdir': '/home/XXX/.cheat.sh', 'routing.pre': [('^$', 'search'), ('^[^/]*/rosetta(/|$)', 'rosetta'), ('^rfc/', 'rfc'), ('^oeis/', 'oeis'), ('^chmod/', 'chmod'), ('^:', 'internal'), ('/:list$', 'internal'), ('/$', 'cheat.sheets dir')], 'routing.main': [('', 'cheat.sheets'), ('', 'cheat'), ('', 'tldr'), ('', 'late.nz'), ('', 'fosdem'), ('', 'learnxiny')], 'routing.post': [('^[^/ +]*$', 'unknown'), ('^[a-z][a-z]-[a-z][a-z]$', 'translation')], 'routing.default': 'question', 'upstream.url': 'https://cheat.sh', 'upstream.timeout': 5, 'search.limit': 20, 'server.bind': '0.0.0.0', 'server.port': 8002}, '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/etc/config.yaml')", "question": "What is the value of ' newval ' in line '11' after '1' th iteration when '_load_config_from_file({'adapters.active': ['tldr', 'cheat', 'fosdem', 'translation', 'rosetta', 'late.nz', 'question', 'cheat.sheets', 'cheat.sheets dir', 'learnxiny', 'rfc', 'oeis', 'chmod'], 'adapters.mandatory': ['search'], 'cache.redis.db': 0, 'cache.redis.host': 'localhost', 'cache.redis.port': 6379, 'cache.redis.prefix': '', 'cache.type': 'redis', 'frontend.styles': ['abap', 'algol', 'algol_nu', 'arduino', 'autumn', 'borland', 'bw', 'colorful', 'default', 'dracula', 'emacs', 'friendly', 'friendly_grayscale', 'fruity', 'github-dark', 'gruvbox-dark', 'gruvbox-light', 'igor', 'inkpot', 'lightbulb', 'lilypond', 'lovelace', 'manni', 'material', 'monokai', 'murphy', 'native', 'nord', 'nord-darker', 'one-dark', 'paraiso-dark', 'paraiso-light', 'pastie', 'perldoc', 'rainbow_dash', 'rrt', 'sas', 'solarized-dark', 'solarized-light', 'staroffice', 'stata-dark', 'stata-light', 'tango', 'trac', 'vim', 'vs', 'xcode', 'zenburn'], 'log.level': 4, 'path.internal.ansi2html': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/ansi2html.sh', 'path.internal.bin': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/bin', 'path.internal.bin.upstream': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/bin/upstream', 'path.internal.malformed': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/static/malformed-response.html', 'path.internal.pages': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share', 'path.internal.static': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/static', 'path.internal.templates': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/templates', 'path.internal.vim': '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/share/vim', 'path.log.main': 'log/main.log', 'path.log.queries': 'log/queries.log', 'path.log.fetch': 'log/fetch.log', 'path.repositories': 'upstream', 'path.spool': 'spool', 'path.workdir': '/home/XXX/.cheat.sh', 'routing.pre': [('^$', 'search'), ('^[^/]*/rosetta(/|$)', 'rosetta'), ('^rfc/', 'rfc'), ('^oeis/', 'oeis'), ('^chmod/', 'chmod'), ('^:', 'internal'), ('/:list$', 'internal'), ('/$', 'cheat.sheets dir')], 'routing.main': [('', 'cheat.sheets'), ('', 'cheat'), ('', 'tldr'), ('', 'late.nz'), ('', 'fosdem'), ('', 'learnxiny')], 'routing.post': [('^[^/ +]*$', 'unknown'), ('^[a-z][a-z]-[a-z][a-z]$', 'translation')], 'routing.default': 'question', 'upstream.url': 'https://cheat.sh', 'upstream.timeout': 5, 'search.limit': 20, 'server.bind': '0.0.0.0', 'server.port': 8002}, '/local/rcs/XXX/code/pytrace-collector/logs/self_collected/tried/chubin+cheat.sh/chubin+cheat.sh/etc/config.yaml')' is executed?", "answer": " None ", "variable_assignment": " newval = None "} +{"idx": 91, "scratchpad_format": "def _get_nested(data, key):\n \"\"\"\n Return value for a hierrachical key (like a.b.c).\n Return None if nothing found.\n If there is a key with . in the name, and a subdictionary,\n the former is preferred:\n\n >>> print(_get_nested({'a.b': 10, 'a':{'b': 20}}, 'a.b'))\n 10\n >>> print(_get_nested({'a': {'b': 20}}, 'a.b'))\n 20\n >>> print(_get_nested({'a': {'b': {'c': 30}}}, 'a.b.c'))\n 30\n \"\"\"\n\n if not data or not isinstance(data, dict):\n return None\n if '.' not in key:\n return data.get(key)\n if key in data:\n return data[key]\n\n parts = key.split('.') # [STATE] parts = ['adapters', 'active'] [/STATE]\n for i in range(len(parts))[::-1]: # [STATE] i = 1 [/STATE] [STATE] i = 0 [/STATE]\n prefix = \".\".join(parts[:i]) # [STATE] prefix = 'adapters' [/STATE] [STATE] prefix = '' [/STATE]\n if prefix in data:\n return _get_nested(data[prefix], \".\".join(parts[i:]))\n\n return None\n\n_get_nested({'server': {'address': '0.0.0.0'}, 'cache': {'type': 'redis'}}, 'adapters.active')", "loop_code": "1: def _get_nested(data, key):\n2: \"\"\"\n3: Return value for a hierrachical key (like a.b.c).\n4: Return None if nothing found.\n5: If there is a key with . in the name, and a subdictionary,\n6: the former is preferred:\n7:\n8: >>> print(_get_nested({'a.b': 10, 'a':{'b': 20}}, 'a.b'))\n9: 10\n10: >>> print(_get_nested({'a': {'b': 20}}, 'a.b'))\n11: 20\n12: >>> print(_get_nested({'a': {'b': {'c': 30}}}, 'a.b.c'))\n13: 30\n14: \"\"\"\n15:\n16: if not data or not isinstance(data, dict):\n17: return None\n18: if '.' not in key:\n19: return data.get(key)\n20: if key in data:\n21: return data[key]\n22:\n23: parts = key.split('.')\n24: for i in range(len(parts))[::-1]:\n25: prefix = \".\".join(parts[:i])\n26: if prefix in data:\n27: return _get_nested(data[prefix], \".\".join(parts[i:]))\n28:\n29: return None\n30:\n31: _get_nested({'server': {'address': '0.0.0.0'}, 'cache': {'type': 'redis'}}, 'adapters.active')", "question": "What is the value of ' prefix ' in line '25' after '1' th iteration when '_get_nested({'server': {'address': '0.0.0.0'}, 'cache': {'type': 'redis'}}, 'adapters.active')' is executed?", "answer": " 'adapters' ", "variable_assignment": " prefix = 'adapters' "} +{"idx": 92, "scratchpad_format": "def test_base_model_can_be_adapter_v2_loaded(name):\n from lit_gpt.adapter_v2 import GPT as AdapterV2GPT # [STATE] AdapterV2GPT = [/STATE]\n from lit_gpt.adapter_v2 import adapter_filter # [STATE] adapter_filter = [/STATE]\n from lit_gpt.model import GPT as BaseGPT # [STATE] BaseGPT = [/STATE]\n\n kwargs = {\"n_layer\": 2, \"n_head\": 8, \"n_embd\": 16, \"padded_vocab_size\": 32} # [STATE] kwargs = {'n_layer': 2, 'n_head': 8, 'n_embd': 16, 'padded_vocab_size': 32} [/STATE]\n base_model = BaseGPT.from_name(name, **kwargs) # [STATE] base_model = GPT( (lm_head): Linear(in_features=16, out_features=32, bias=False) (transformer): ModuleDict( (wte): Embedding(32, 16) (h): ModuleList( (0-1): 2 x Block( (norm_1): LayerNorm((16,), eps=1e-05, elementwise_affine=True) (attn): CausalSelfAttention( (attn): Linear(in_features=16, out_features=48, bias=True) (proj): Linear(in_features=16, out_features=16, bias=True) ) (norm_2): LayerNorm((16,), eps=1e-05, elementwise_affine=True) (mlp): GptNeoxMLP( (fc): Linear(in_features=16, out_features=64, bias=True) (proj): Linear(in_features=64, out_features=16, bias=True) ) ) ) (ln_f): LayerNorm((16,), eps=1e-05, elementwise_affine=True) )) [/STATE]\n base_model_state_dict = base_model.state_dict() # [STATE] base_model_state_dict = OrderedDict([('lm_head.weight', tensor([[-0.2040, 0.1113, 0.0584, -0.1935, -0.0368, -0.2365, 0.0272, 0.1651, 0.1920, 0.2497, -0.1360, -0.2344, -0.0012, 0.1705, 0.1699, 0.2030], [-0.2263, -0.1364, -0.1686, -0.0148, 0.1299, 0.1057, -0.1175, 0.2214, 0.0702, 0.0628, -0.0087, -0.1382, 0.1014, 0.0977, 0.0380, 0.1590], [-0.0566, -0.1740, -0.1575, 0.0049, 0.1824, -0.2248, 0.1395, 0.0325, 0.2379, -0.0782, 0.1699, -0.0943, 0.2191, -0.0986, 0.0821, -0.2279], [-0.2114, 0.1223, 0.0569, -0.2201, 0.1737, -0.0730, 0.2211, 0.0469, -0.0359, -0.1367, -0.1522, -0.1705, -0.2474, 0.0640, 0.1010, -0.2316], [ 0.2279, 0.2448, -0.0281, -0.0656, 0.0848, 0.0019, -0.1033, 0.2023, -0.0742, -0.1102, -0.2262, -0.1674, -0.2286, -0.1058, -0.0161, 0.0969], [ 0.1002, -0.2468, -0.0489, 0.2212, -0.1703, 0.2316, -0.1648, 0.1787, 0.2121, 0.0849, 0.2258, -0.2450, -0.1595, 0.1691, 0.0878, -0.1187], [ 0.0137, -0.1362, -0.1799, -0.1539, 0.0538, -0.0110, 0.1377, -0.1469, -0.2303, -0.0714, 0.0875, -0.2432, 0.1248, -0.1095, 0.0290, -0.1726], [-0.1370, 0.0523, 0.1150, -0.2129, 0.1642, -0.0408, -0.1308, -0.0780, 0.0291, -0.0083, -0.1428, 0.1091, 0.1643, 0.0100, 0.2389, 0.0719], [-0.2246, -0.1863, -0.1718, -0.1688, -0.1824, -0.0768, 0.0202, 0.1226, -0.1975, 0.2080, 0.0941, 0.0397, 0.2238, -0.1715, 0.0790, -0.0336], [-0.0374, 0.1743, 0.1776, -0.0401, 0.0524, -0.2052, 0.1173, 0.0335, -0.2399, 0.2152, 0.0909, -0.0933, 0.1838, -0.0556, 0.0652, 0.2024], [ 0.2485, 0.0462, 0.1087, -0.2251, -0.1969, -0.0321, 0.2268, 0.1194, -0.0749, 0.0085, 0.0455, 0.2372, -0.0372, 0.2139, -0.0159, -0.1402], [-0.2278, 0.1227, -0.0303, -0.1931, 0.2433, -0.2397, -0.0908, 0.0450, 0.0401, -0.1654, 0.1077, -0.1347, -0.1677, -0.0515, 0.1379, -0.0590], [ 0.2161, 0.2441, -0.2048, 0.0042, -0.2058, 0.1390, -0.2005, -0.0724, -0.0006, -0.0823, -0.1921, 0.0568, -0.1141, -0.1868, -0.0980, 0.1916], [-0.2162, -0.0590, 0.1730, 0.0203, -0.1542, -0.0287, -0.1238, 0.2366, -0.1960, 0.0638, 0.2467, 0.0968, -0.0297, -0.2187, -0.1270, -0.1592], [-0.1953, 0.0800, -0.2453, -0.2434, -0.2289, 0.1761, 0.0080, -0.2330, -0.1634, 0.0117, 0.1099, 0.1184, 0.0833, 0.1710, 0.0734, 0.0825], [-0.0449, 0.0028, -0.1980, -0.1582, -0.0300, -0.2378, 0.1776, -0.0695, 0.1542, -0.0839, -0.0305, -0.1438, -0.1355, 0.1401, 0.1814, 0.0663], [-0.1543, 0.2484, -0.1478, 0.1234, -0.1865, 0.1914, 0.0307, 0.1875, -0.0973, 0.0588, 0.2018, -0.0548, 0.1702, -0.1610, -0.2060, -0.1724], [ 0.1537, -0.0495, -0.1406, 0.0114, 0.0301, -0.1971, 0.0294, 0.0739, 0.0160, 0.1448, -0.2331, -0.0077, -0.1525, -0.0146, 0.1653, -0.0413], [-0.2186, -0.0141, -0.1605, -0.0941, 0.2489, -0.0499, -0.0589, -0.0887, 0.1524, -0.1399, 0.2012, -0.0109, -0.0090, 0.0946, -0.1322, -0.0652], [-0.1617, 0.1239, 0.0779, -0.1597, 0.0285, -0.0280, -0.2459, 0.1879, -0.1888, 0.0874, -0.2031, -0.1358, -0.1345, 0.1417, 0.1186, 0.0337], [-0.2315, 0.0632, 0.1275, 0.0153, 0.0495, -0.0769, -0.0769, 0.0444, -0.0225, 0.1375, -0.1902, 0.1155, -0.2222, 0.0365, -0.0030, 0.1707], [-0.1867, 0.0813, 0.2142, 0.1787, 0.0732, -0.1879, -0.2255, -0.2374, 0.1491, 0.1437, -0.0771, -0.1960, 0.1335, 0.0227, 0.2434, -0.0845], [-0.1916, -0.1467, 0.0975, -0.0115, -0.1319, 0.0445, 0.0236, -0.1961, 0.0639, -0.1922, 0.0300, 0.0432, -0.0061, -0.1202, 0.0846, -0.0664], [-0.2105, 0.0031, -0.1161, -0.0683, 0.2353, 0.1651, -0.2034, 0.1467, 0.0378, -0.0989, 0.0239, 0.2026, 0.2267, 0.2138, -0.2073, 0.0165], [ 0.1156, 0.2149, -0.0286, -0.1842, -0.1246, 0.2320, -0.0424, -0.1798, -0.0945, -0.2007, 0.0248, 0.1019, 0.1329, -0.1646, 0.0107, 0.1050], [-0.1296, -0.1141, 0.2485, ....1062, -0.1109, -0.1927, 0.0626, 0.2419, 0.1540, 0.1249, 0.2342], [ 0.2244, -0.1377, -0.2170, 0.0662, -0.1891, 0.1060, -0.2274, -0.2134, 0.2055, -0.1398, 0.1706, 0.0286, -0.1660, -0.1758, -0.0727, 0.0104], [-0.1086, 0.2059, -0.1085, 0.0878, -0.2465, -0.1247, -0.0222, 0.1380, 0.1035, -0.2425, 0.0100, 0.1510, -0.0806, 0.0448, 0.0790, 0.0523], [ 0.1252, 0.0400, 0.0261, -0.2488, -0.2045, -0.1933, 0.1192, 0.1677, 0.0642, 0.1778, 0.2086, 0.1216, -0.0441, -0.2306, 0.2251, 0.1947], [-0.0092, 0.0686, 0.0206, 0.0507, 0.0820, 0.1262, 0.0621, 0.2165, 0.2090, -0.1457, 0.1741, 0.1685, -0.2353, -0.0548, 0.1855, -0.2016], [ 0.1959, 0.0742, -0.2326, -0.1294, 0.0701, -0.0846, 0.0796, 0.1885, 0.2356, 0.1602, 0.0801, -0.0599, -0.0415, 0.1231, -0.0243, 0.0458], [-0.2164, 0.0750, -0.0714, -0.0557, -0.1265, -0.0025, -0.0520, -0.2037, -0.2366, -0.0198, -0.0369, -0.1668, 0.1378, -0.2271, -0.0582, 0.1369], [ 0.0529, -0.2322, 0.1400, 0.0548, 0.1427, 0.0732, -0.2172, 0.0945, 0.0295, -0.0840, 0.1653, -0.1925, -0.0347, -0.0753, 0.0523, 0.1021], [-0.2317, -0.1887, -0.1400, -0.0594, 0.1515, 0.0425, -0.0596, 0.0958, -0.1809, -0.0933, 0.0679, 0.0599, -0.0747, 0.1119, -0.0284, 0.0506], [-0.1945, -0.1917, -0.1075, -0.1584, -0.2365, -0.2396, -0.2490, -0.0487, 0.1456, 0.1571, 0.0480, 0.2459, 0.2245, -0.0147, 0.0579, 0.0433], [-0.1347, -0.1925, -0.2312, 0.1519, -0.1227, 0.1162, 0.1610, -0.1877, 0.2061, -0.2271, 0.1379, -0.2204, 0.2442, 0.1041, 0.0929, -0.1878]])), ('transformer.h.1.attn.proj.bias', tensor([-0.0892, -0.2182, -0.1580, 0.0412, 0.0140, 0.2101, 0.1820, -0.2064, -0.1241, -0.0571, 0.1290, 0.0343, -0.2440, -0.1654, 0.0235, -0.1155])), ('transformer.h.1.norm_2.weight', tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])), ('transformer.h.1.norm_2.bias', tensor([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])), ('transformer.h.1.mlp.fc.weight', tensor([[ 0.0924, 0.1510, -0.0735, ..., 0.1847, -0.1331, -0.1429], [-0.2016, 0.2156, 0.0506, ..., -0.0418, -0.1739, -0.2487], [ 0.2222, 0.1940, 0.0379, ..., 0.1357, 0.2448, -0.2166], ..., [ 0.1076, -0.1423, 0.0219, ..., -0.0825, 0.1934, 0.1640], [ 0.1174, 0.0894, -0.0815, ..., -0.1510, 0.0219, -0.0885], [-0.1409, 0.0148, 0.2021, ..., -0.2060, -0.0150, -0.1007]])), ('transformer.h.1.mlp.fc.bias', tensor([ 0.1542, 0.1957, 0.0429, -0.0221, 0.0788, 0.2306, 0.2165, 0.1671, 0.0664, -0.1140, -0.0531, -0.0085, 0.0917, -0.1900, -0.1731, 0.2154, -0.1378, -0.0411, -0.2255, 0.1157, -0.1700, 0.1329, 0.1946, 0.0830, 0.0852, 0.1996, 0.2274, 0.0734, 0.1994, -0.2326, 0.2143, 0.1984, -0.0805, 0.1104, 0.1824, -0.0666, 0.1265, 0.1228, 0.2238, 0.2137, 0.1964, -0.0859, -0.2379, -0.0537, 0.1860, 0.0125, 0.0383, -0.2439, -0.2233, -0.1594, 0.0032, 0.1765, -0.0252, 0.2003, 0.0800, 0.0508, 0.0850, 0.0321, 0.0886, -0.1280, -0.0688, -0.0091, 0.1421, -0.2377])), ('transformer.h.1.mlp.proj.weight', tensor([[ 0.1238, -0.0415, -0.0093, ..., 0.0712, 0.0379, 0.1029], [ 0.0671, -0.0787, -0.0885, ..., -0.0070, 0.0109, -0.0624], [-0.1076, -0.0217, -0.0052, ..., 0.0668, -0.0339, 0.1202], ..., [-0.0757, -0.0012, 0.0383, ..., -0.0417, -0.0944, -0.0468], [ 0.0752, -0.0184, 0.0511, ..., -0.0576, -0.0293, 0.0188], [-0.0496, -0.0871, -0.0883, ..., -0.1221, 0.0080, 0.0647]])), ('transformer.h.1.mlp.proj.bias', tensor([-0.0183, 0.0377, 0.1179, -0.1148, -0.0526, 0.0324, 0.0845, 0.0960, -0.0208, 0.1116, -0.0654, -0.0011, -0.0743, 0.1182, 0.0757, 0.0495])), ('transformer.ln_f.weight', tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])), ('transformer.ln_f.bias', tensor([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]))]) [/STATE]\n lora_model = AdapterV2GPT.from_name(name, **kwargs, adapter_start_layer=0) # [STATE] lora_model = GPT( (lm_head): AdapterV2Linear( (linear): Linear(in_features=16, out_features=32, bias=False) ) (transformer): ModuleDict( (wte): Embedding(32, 16) (h): ModuleList( (0-1): 2 x Block( (norm_1): LayerNorm((16,), eps=1e-05, elementwise_affine=True) (attn): CausalSelfAttention( (attn): AdapterV2Linear( (linear): Linear(in_features=16, out_features=48, bias=True) ) (proj): AdapterV2Linear( (linear): Linear(in_features=16, out_features=16, bias=True) ) (adapter_wte): Embedding(10, 16) ) (norm_2): LayerNorm((16,), eps=1e-05, elementwise_affine=True) (mlp): GptNeoxMLP( (fc): AdapterV2Linear( (linear): Linear(in_features=16, out_features=64, bias=True) ) (proj): AdapterV2Linear( (linear): Linear(in_features=64, out_features=16, bias=True) ) ) ) ) (ln_f): LayerNorm((16,), eps=1e-05, elementwise_affine=True) )) [/STATE]\n keys = lora_model.load_state_dict(base_model_state_dict, strict=False) # [STATE] keys = _IncompatibleKeys(missing_keys=['lm_head.adapter_bias', 'lm_head.adapter_scale', 'transformer.h.0.attn.gating_factor', 'transformer.h.0.attn.attn.adapter_bias', 'transformer.h.0.attn.attn.adapter_scale', 'transformer.h.0.attn.proj.adapter_bias', 'transformer.h.0.attn.proj.adapter_scale', 'transformer.h.0.attn.adapter_wte.weight', 'transformer.h.0.mlp.fc.adapter_bias', 'transformer.h.0.mlp.fc.adapter_scale', 'transformer.h.0.mlp.proj.adapter_bias', 'transformer.h.0.mlp.proj.adapter_scale', 'transformer.h.1.attn.gating_factor', 'transformer.h.1.attn.attn.adapter_bias', 'transformer.h.1.attn.attn.adapter_scale', 'transformer.h.1.attn.proj.adapter_bias', 'transformer.h.1.attn.proj.adapter_scale', 'transformer.h.1.attn.adapter_wte.weight', 'transformer.h.1.mlp.fc.adapter_bias', 'transformer.h.1.mlp.fc.adapter_scale', 'transformer.h.1.mlp.proj.adapter_bias', 'transformer.h.1.mlp.proj.adapter_scale'], unexpected_keys=[]) [/STATE]\n assert not keys.unexpected_keys # [STATE] @py_assert1 = None [/STATE] # [STATE] @py_assert3 = None [/STATE]\n for k in keys.missing_keys: # [STATE] k = 'lm_head.adapter_bias' [/STATE] [STATE] k = 'lm_head.adapter_scale' [/STATE] [STATE] k = 'transformer.h.0.attn.gating_factor' [/STATE] [STATE] k = 'transformer.h.0.attn.attn.adapter_bias' [/STATE] [STATE] k = 'transformer.h.0.attn.attn.adapter_scale' [/STATE] [STATE] k = 'transformer.h.0.attn.proj.adapter_bias' [/STATE] [STATE] k = 'transformer.h.0.attn.proj.adapter_scale' [/STATE] [STATE] k = 'transformer.h.0.attn.adapter_wte.weight' [/STATE] [STATE] k = 'transformer.h.0.mlp.fc.adapter_bias' [/STATE] [STATE] k = 'transformer.h.0.mlp.fc.adapter_scale' [/STATE] [STATE] k = 'transformer.h.0.mlp.proj.adapter_bias' [/STATE] [STATE] k = 'transformer.h.0.mlp.proj.adapter_scale' [/STATE] [STATE] k = 'transformer.h.1.attn.gating_factor' [/STATE] [STATE] k = 'transformer.h.1.attn.attn.adapter_bias' [/STATE] [STATE] k = 'transformer.h.1.attn.attn.adapter_scale' [/STATE] [STATE] k = 'transformer.h.1.attn.proj.adapter_bias' [/STATE] [STATE] k = 'transformer.h.1.attn.proj.adapter_scale' [/STATE] [STATE] k = 'transformer.h.1.attn.adapter_wte.weight' [/STATE] [STATE] k = 'transformer.h.1.mlp.fc.adapter_bias' [/STATE] [STATE] k = 'transformer.h.1.mlp.fc.adapter_scale' [/STATE] [STATE] k = 'transformer.h.1.mlp.proj.adapter_bias' [/STATE]\n assert adapter_filter(k, None) # [STATE] @py_assert2 = None [/STATE] [STATE] @py_assert4 = None [/STATE]\n\ntest_base_model_can_be_adapter_v2_loaded('stablelm-base-alpha-3b')", "loop_code": "1: def test_base_model_can_be_adapter_v2_loaded(name):\n2: from lit_gpt.adapter_v2 import GPT as AdapterV2GPT\n3: from lit_gpt.adapter_v2 import adapter_filter\n4: from lit_gpt.model import GPT as BaseGPT\n5:\n6: kwargs = {\"n_layer\": 2, \"n_head\": 8, \"n_embd\": 16, \"padded_vocab_size\": 32}\n7: base_model = BaseGPT.from_name(name, **kwargs)\n8: base_model_state_dict = base_model.state_dict()\n9: lora_model = AdapterV2GPT.from_name(name, **kwargs, adapter_start_layer=0)\n10: keys = lora_model.load_state_dict(base_model_state_dict, strict=False)\n11: assert not keys.unexpected_keys\n12: for k in keys.missing_keys:\n13: assert adapter_filter(k, None)\n14:\n15: test_base_model_can_be_adapter_v2_loaded('stablelm-base-alpha-3b')", "question": "What is the value of ' @py_assert2 ' in line '13' after '1' th iteration when 'test_base_model_can_be_adapter_v2_loaded('stablelm-base-alpha-3b')' is executed?", "answer": " None ", "variable_assignment": " @py_assert2 = None "} +{"idx": 93, "scratchpad_format": "def a1_to_rowcol(label):\n \"\"\"Translates a cell's address in A1 notation to a tuple of integers.\n\n :param str label: A cell label in A1 notation, e.g. 'B1'.\n Letter case is ignored.\n :returns: a tuple containing `row` and `column` numbers. Both indexed\n from 1 (one).\n :rtype: tuple\n\n Example:\n\n >>> a1_to_rowcol('A1')\n (1, 1)\n\n \"\"\"\n m = CELL_ADDR_RE.match(label) # [STATE] m = [/STATE]\n if m:\n column_label = m.group(1).upper() # [STATE] column_label = 'B' [/STATE]\n row = int(m.group(2)) # [STATE] row = 1 [/STATE]\n\n col = 0 # [STATE] col = 0 [/STATE]\n for i, c in enumerate(reversed(column_label)): # [STATE] i = 0 [/STATE] [STATE] c = 'B' [/STATE]\n col += (ord(c) - MAGIC_NUMBER) * (26**i) # [STATE] col = 2 [/STATE]\n else:\n raise IncorrectCellLabel(label)\n\n return (row, col)\n\na1_to_rowcol('B1')", "loop_code": "1: def a1_to_rowcol(label):\n2: \"\"\"Translates a cell's address in A1 notation to a tuple of integers.\n3:\n4: :param str label: A cell label in A1 notation, e.g. 'B1'.\n5: Letter case is ignored.\n6: :returns: a tuple containing `row` and `column` numbers. Both indexed\n7: from 1 (one).\n8: :rtype: tuple\n9:\n10: Example:\n11:\n12: >>> a1_to_rowcol('A1')\n13: (1, 1)\n14:\n15: \"\"\"\n16: m = CELL_ADDR_RE.match(label)\n17: if m:\n18: column_label = m.group(1).upper()\n19: row = int(m.group(2))\n20:\n21: col = 0\n22: for i, c in enumerate(reversed(column_label)):\n23: col += (ord(c) - MAGIC_NUMBER) * (26**i)\n24: else:\n25: raise IncorrectCellLabel(label)\n26:\n27: return (row, col)\n28:\n29: a1_to_rowcol('B1')", "question": "What is the value of ' col ' in line '23' after '1' th iteration when 'a1_to_rowcol('B1')' is executed?", "answer": " 2 ", "variable_assignment": " col = 2 "} +{"idx": 94, "scratchpad_format": "def _a1_to_rowcol_unbounded(label):\n \"\"\"Translates a cell's address in A1 notation to a tuple of integers.\n\n Same as `a1_to_rowcol()` but allows for missing row or column part\n (e.g. \"A\" for the first column)\n\n :returns: a tuple containing `row` and `column` numbers. Both indexed\n from 1 (one).\n :rtype: tuple\n\n Example:\n\n >>> _a1_to_rowcol_unbounded('A1')\n (1, 1)\n\n >>> _a1_to_rowcol_unbounded('A')\n (inf, 1)\n\n >>> _a1_to_rowcol_unbounded('1')\n (1, inf)\n\n >>> _a1_to_rowcol_unbounded('ABC123')\n (123, 731)\n\n >>> _a1_to_rowcol_unbounded('ABC')\n (inf, 731)\n\n >>> _a1_to_rowcol_unbounded('123')\n (123, inf)\n\n >>> _a1_to_rowcol_unbounded('1A')\n Traceback (most recent call last):\n ...\n gspread.exceptions.IncorrectCellLabel: 1A\n\n >>> _a1_to_rowcol_unbounded('')\n (inf, inf)\n\n \"\"\"\n m = A1_ADDR_ROW_COL_RE.match(label) # [STATE] m = [/STATE]\n if m:\n column_label, row = m.groups() # [STATE] column_label = 'A' [/STATE] # [STATE] row = '1' [/STATE]\n\n if column_label:\n col = 0 # [STATE] col = 0 [/STATE]\n for i, c in enumerate(reversed(column_label.upper())): # [STATE] i = 0 [/STATE] [STATE] c = 'A' [/STATE]\n col += (ord(c) - MAGIC_NUMBER) * (26**i) # [STATE] col = 1 [/STATE]\n else:\n col = inf\n\n if row:\n row = int(row) # [STATE] row = 1 [/STATE]\n else:\n row = inf\n else:\n raise IncorrectCellLabel(label)\n\n return (row, col)\n\n_a1_to_rowcol_unbounded('A1')", "loop_code": "1: def _a1_to_rowcol_unbounded(label):\n2: \"\"\"Translates a cell's address in A1 notation to a tuple of integers.\n3:\n4: Same as `a1_to_rowcol()` but allows for missing row or column part\n5: (e.g. \"A\" for the first column)\n6:\n7: :returns: a tuple containing `row` and `column` numbers. Both indexed\n8: from 1 (one).\n9: :rtype: tuple\n10:\n11: Example:\n12:\n13: >>> _a1_to_rowcol_unbounded('A1')\n14: (1, 1)\n15:\n16: >>> _a1_to_rowcol_unbounded('A')\n17: (inf, 1)\n18:\n19: >>> _a1_to_rowcol_unbounded('1')\n20: (1, inf)\n21:\n22: >>> _a1_to_rowcol_unbounded('ABC123')\n23: (123, 731)\n24:\n25: >>> _a1_to_rowcol_unbounded('ABC')\n26: (inf, 731)\n27:\n28: >>> _a1_to_rowcol_unbounded('123')\n29: (123, inf)\n30:\n31: >>> _a1_to_rowcol_unbounded('1A')\n32: Traceback (most recent call last):\n33: ...\n34: gspread.exceptions.IncorrectCellLabel: 1A\n35:\n36: >>> _a1_to_rowcol_unbounded('')\n37: (inf, inf)\n38:\n39: \"\"\"\n40: m = A1_ADDR_ROW_COL_RE.match(label)\n41: if m:\n42: column_label, row = m.groups()\n43:\n44: if column_label:\n45: col = 0\n46: for i, c in enumerate(reversed(column_label.upper())):\n47: col += (ord(c) - MAGIC_NUMBER) * (26**i)\n48: else:\n49: col = inf\n50:\n51: if row:\n52: row = int(row)\n53: else:\n54: row = inf\n55: else:\n56: raise IncorrectCellLabel(label)\n57:\n58: return (row, col)\n59:\n60: _a1_to_rowcol_unbounded('A1')", "question": "What is the value of ' col ' in line '47' after '1' th iteration when '_a1_to_rowcol_unbounded('A1')' is executed?", "answer": " 1 ", "variable_assignment": " col = 1 "} +{"idx": 95, "scratchpad_format": "def compute_loc(idx, shape):\n loc = [0] * len(shape) # [STATE] loc = [0, 0] [/STATE]\n for i in range(len(shape)): # [STATE] i = 0 [/STATE] [STATE] i = 1 [/STATE]\n prod = int(np.prod(shape[i + 1:])) # [STATE] prod = 4 [/STATE] [STATE] prod = 1 [/STATE]\n loc[i] = idx // prod\n idx = idx % prod\n return tuple(loc)\n\ncompute_loc(0, (2, 4))", "loop_code": "1: def compute_loc(idx, shape):\n2: loc = [0] * len(shape)\n3: for i in range(len(shape)):\n4: prod = int(np.prod(shape[i + 1:]))\n5: loc[i] = idx // prod\n6: idx = idx % prod\n7: return tuple(loc)\n8:\n9: compute_loc(0, (2, 4))", "question": "What is the value of ' prod ' in line '4' after '1' th iteration when 'compute_loc(0, (2, 4))' is executed?", "answer": " 4 ", "variable_assignment": " prod = 4 "} +{"idx": 96, "scratchpad_format": "def deep_extend(*args):\n result = None # [STATE] result = None [/STATE]\n for arg in args: # [STATE] arg = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPrivateV2': 'https://testnet.binancefuture.com/fapi/v2', 'public': 'https://testnet.binance.vision/api/v3', 'private': 'https://testnet.binance.vision/api/v3', 'v1': 'https://testnet.binance.vision/api/v1'} [/STATE] [STATE] arg = {'ws': {'spot': 'wss://testnet.binance.vision/ws', 'margin': 'wss://testnet.binance.vision/ws', 'future': 'wss://fstream.binancefuture.com/ws', 'delivery': 'wss://dstream.binancefuture.com/ws', 'ws': 'wss://testnet.binance.vision/ws-api/v3'}} [/STATE]\n if isinstance(arg, dict):\n if not isinstance(result, dict):\n result = {} # [STATE] result = {} [/STATE]\n for key in arg: # [STATE] key = 'dapiPublic' [/STATE] [STATE] key = 'dapiPrivate' [/STATE] [STATE] key = 'dapiPrivateV2' [/STATE] [STATE] key = 'fapiPublic' [/STATE] [STATE] key = 'fapiPublicV2' [/STATE] [STATE] key = 'fapiPrivate' [/STATE] [STATE] key = 'fapiPrivateV2' [/STATE] [STATE] key = 'public' [/STATE] [STATE] key = 'private' [/STATE] [STATE] key = 'v1' [/STATE] [STATE] key = 'ws' [/STATE]\n result[key] = Exchange.deep_extend(result[key] if key in result else None, arg[key]) # [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPrivateV2': 'https://testnet.binancefuture.com/fapi/v2'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPrivateV2': 'https://testnet.binancefuture.com/fapi/v2', 'public': 'https://testnet.binance.vision/api/v3'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPrivateV2': 'https://testnet.binancefuture.com/fapi/v2', 'public': 'https://testnet.binance.vision/api/v3', 'private': 'https://testnet.binance.vision/api/v3'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPrivateV2': 'https://testnet.binancefuture.com/fapi/v2', 'public': 'https://testnet.binance.vision/api/v3', 'private': 'https://testnet.binance.vision/api/v3', 'v1': 'https://testnet.binance.vision/api/v1'} [/STATE] [STATE] result = {'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPrivateV2': 'https://testnet.binancefuture.com/fapi/v2', 'public': 'https://testnet.binance.vision/api/v3', 'private': 'https://testnet.binance.vision/api/v3', 'v1': 'https://testnet.binance.vision/api/v1', 'ws': {'spot': 'wss://testnet.binance.vision/ws', 'margin': 'wss://testnet.binance.vision/ws', 'future': 'wss://fstream.binancefuture.com/ws', 'delivery': 'wss://dstream.binancefuture.com/ws', 'ws': 'wss://testnet.binance.vision/ws-api/v3'}} [/STATE]\n else:\n result = arg\n return result\n\ndeep_extend(({'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPrivateV2': 'https://testnet.binancefuture.com/fapi/v2', 'public': 'https://testnet.binance.vision/api/v3', 'private': 'https://testnet.binance.vision/api/v3', 'v1': 'https://testnet.binance.vision/api/v1'}, {'ws': {'spot': 'wss://testnet.binance.vision/ws', 'margin': 'wss://testnet.binance.vision/ws', 'future': 'wss://fstream.binancefuture.com/ws', 'delivery': 'wss://dstream.binancefuture.com/ws', 'ws': 'wss://testnet.binance.vision/ws-api/v3'}}))", "loop_code": "1: def deep_extend(*args):\n2: result = None\n3: for arg in args:\n4: if isinstance(arg, dict):\n5: if not isinstance(result, dict):\n6: result = {}\n7: for key in arg:\n8: result[key] = Exchange.deep_extend(result[key] if key in result else None, arg[key])\n9: else:\n10: result = arg\n11: return result\n12:\n13: deep_extend(({'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPrivateV2': 'https://testnet.binancefuture.com/fapi/v2', 'public': 'https://testnet.binance.vision/api/v3', 'private': 'https://testnet.binance.vision/api/v3', 'v1': 'https://testnet.binance.vision/api/v1'}, {'ws': {'spot': 'wss://testnet.binance.vision/ws', 'margin': 'wss://testnet.binance.vision/ws', 'future': 'wss://fstream.binancefuture.com/ws', 'delivery': 'wss://dstream.binancefuture.com/ws', 'ws': 'wss://testnet.binance.vision/ws-api/v3'}}))", "question": "What is the value of ' result ' in line '6' after '1' th iteration when 'deep_extend(({'dapiPublic': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivate': 'https://testnet.binancefuture.com/dapi/v1', 'dapiPrivateV2': 'https://testnet.binancefuture.com/dapi/v2', 'fapiPublic': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPublicV2': 'https://testnet.binancefuture.com/fapi/v2', 'fapiPrivate': 'https://testnet.binancefuture.com/fapi/v1', 'fapiPrivateV2': 'https://testnet.binancefuture.com/fapi/v2', 'public': 'https://testnet.binance.vision/api/v3', 'private': 'https://testnet.binance.vision/api/v3', 'v1': 'https://testnet.binance.vision/api/v1'}, {'ws': {'spot': 'wss://testnet.binance.vision/ws', 'margin': 'wss://testnet.binance.vision/ws', 'future': 'wss://fstream.binancefuture.com/ws', 'delivery': 'wss://dstream.binancefuture.com/ws', 'ws': 'wss://testnet.binance.vision/ws-api/v3'}}))' is executed?", "answer": " {} ", "variable_assignment": " result = {} "} +{"idx": 97, "scratchpad_format": "def extend(*args):\n if args is not None:\n result = None # [STATE] result = None [/STATE]\n if type(args[0]) is collections.OrderedDict:\n result = collections.OrderedDict()\n else:\n result = {} # [STATE] result = {} [/STATE]\n for arg in args: # [STATE] arg = {'ETH': 'ERC20', 'TRX': 'TRC20', 'BNB': 'BEP2', 'BSC': 'BEP20', 'OMNI': 'OMNI', 'EOS': 'EOS', 'SOL': 'SPL'} [/STATE] [STATE] arg = {'tronscan.org': 'TRC20', 'etherscan.io': 'ERC20', 'bscscan.com': 'BSC', 'explorer.binance.org': 'BEP2', 'bithomp.com': 'XRP', 'bloks.io': 'EOS', 'stellar.expert': 'XLM', 'blockchair.com/bitcoin': 'BTC', 'blockchair.com/bitcoin-cash': 'BCH', 'blockchair.com/ecash': 'XEC', 'explorer.litecoin.net': 'LTC', 'explorer.avax.network': 'AVAX', 'solscan.io': 'SOL', 'polkadot.subscan.io': 'DOT', 'dashboard.internetcomputer.org': 'ICP', 'explorer.chiliz.com': 'CHZ', 'cardanoscan.io': 'ADA', 'mainnet.theoan.com': 'AION', 'algoexplorer.io': 'ALGO', 'explorer.ambrosus.com': 'AMB', 'viewblock.io/zilliqa': 'ZIL', 'viewblock.io/arweave': 'AR', 'explorer.ark.io': 'ARK', 'atomscan.com': 'ATOM', 'www.mintscan.io': 'CTK', 'explorer.bitcoindiamond.org': 'BCD', 'btgexplorer.com': 'BTG', 'bts.ai': 'BTS', 'explorer.celo.org': 'CELO', 'explorer.nervos.org': 'CKB', 'cerebro.cortexlabs.ai': 'CTXC', 'chainz.cryptoid.info': 'VIA', 'explorer.dcrdata.org': 'DCR', 'digiexplorer.info': 'DGB', 'dock.subscan.io': 'DOCK', 'dogechain.info': 'DOGE', 'explorer.elrond.com': 'EGLD', 'blockscout.com': 'ETC', 'explore-fetchhub.fetch.ai': 'FET', 'filfox.info': 'FIL', 'fio.bloks.io': 'FIO', 'explorer.firo.org': 'FIRO', 'neoscan.io': 'NEO', 'ftmscan.com': 'FTM', 'explorer.gochain.io': 'GO', 'block.gxb.io': 'GXS', 'hash-hash.info': 'HBAR', 'www.hiveblockexplorer.com': 'HIVE', 'explorer.helium.com': 'HNT', 'tracker.icon.foundation': 'ICX', 'www.iostabc.com': 'IOST', 'explorer.iota.org': 'IOTA', 'iotexscan.io': 'IOTX', 'irishub.iobscan.io': 'IRIS', 'kava.mintscan.io': 'KAVA', 'scope.klaytn.com': 'KLAY', 'kmdexplorer.io': 'KMD', 'kusama.subscan.io': 'KSM', 'explorer.lto.network': 'LTO', 'polygonscan.com': 'POLYGON', 'explorer.ont.io': 'ONT', 'minaexplorer.com': 'MINA', 'nanolooker.com': 'NANO', 'explorer.nebulas.io': 'NAS', 'explorer.nbs.plus': 'NBS', 'explorer.nebl.io': 'NEBL', 'nulscan.io': 'NULS', 'nxscan.com': 'NXS', 'explorer.harmony.one': 'ONE', 'explorer.poa.network': 'POA', 'qtum.info': 'QTUM', 'explorer.rsk.co': 'RSK', 'www.oasisscan.com': 'ROSE', 'ravencoin.network': 'RVN', 'sc.tokenview.com': 'SC', 'secretnodes.com': 'SCRT', 'explorer.skycoin.com': 'SKY', 'steemscan.com': 'STEEM', 'explorer.stacks.co': 'STX', 'www.thetascan.io': 'THETA', 'scan.tomochain.com': 'TOMO', 'explore.vechain.org': 'VET', 'explorer.vite.net': 'VITE', 'www.wanscan.org': 'WAN', 'wavesexplorer.com': 'WAVES', 'wax.eosx.io': 'WAXP', 'waltonchain.pro': 'WTC', 'chain.nem.ninja': 'XEM', 'verge-blockchain.info': 'XVG', 'explorer.yoyow.org': 'YOYOW', 'explorer.zcha.in': 'ZEC', 'explorer.zensystem.io': 'ZEN'} [/STATE]\n result.update(arg) # [STATE] result = {'ETH': 'ERC20', 'TRX': 'TRC20', 'BNB': 'BEP2', 'BSC': 'BEP20', 'OMNI': 'OMNI', 'EOS': 'EOS', 'SOL': 'SPL'} [/STATE] [STATE] result = {'ETH': 'ERC20', 'TRX': 'TRC20', 'BNB': 'BEP2', 'BSC': 'BEP20', 'OMNI': 'OMNI', 'EOS': 'EOS', 'SOL': 'SPL', 'tronscan.org': 'TRC20', 'etherscan.io': 'ERC20', 'bscscan.com': 'BSC', 'explorer.binance.org': 'BEP2', 'bithomp.com': 'XRP', 'bloks.io': 'EOS', 'stellar.expert': 'XLM', 'blockchair.com/bitcoin': 'BTC', 'blockchair.com/bitcoin-cash': 'BCH', 'blockchair.com/ecash': 'XEC', 'explorer.litecoin.net': 'LTC', 'explorer.avax.network': 'AVAX', 'solscan.io': 'SOL', 'polkadot.subscan.io': 'DOT', 'dashboard.internetcomputer.org': 'ICP', 'explorer.chiliz.com': 'CHZ', 'cardanoscan.io': 'ADA', 'mainnet.theoan.com': 'AION', 'algoexplorer.io': 'ALGO', 'explorer.ambrosus.com': 'AMB', 'viewblock.io/zilliqa': 'ZIL', 'viewblock.io/arweave': 'AR', 'explorer.ark.io': 'ARK', 'atomscan.com': 'ATOM', 'www.mintscan.io': 'CTK', 'explorer.bitcoindiamond.org': 'BCD', 'btgexplorer.com': 'BTG', 'bts.ai': 'BTS', 'explorer.celo.org': 'CELO', 'explorer.nervos.org': 'CKB', 'cerebro.cortexlabs.ai': 'CTXC', 'chainz.cryptoid.info': 'VIA', 'explorer.dcrdata.org': 'DCR', 'digiexplorer.info': 'DGB', 'dock.subscan.io': 'DOCK', 'dogechain.info': 'DOGE', 'explorer.elrond.com': 'EGLD', 'blockscout.com': 'ETC', 'explore-fetchhub.fetch.ai': 'FET', 'filfox.info': 'FIL', 'fio.bloks.io': 'FIO', 'explorer.firo.org': 'FIRO', 'neoscan.io': 'NEO', 'ftmscan.com': 'FTM', 'explorer.gochain.io': 'GO', 'block.gxb.io': 'GXS', 'hash-hash.info': 'HBAR', 'www.hiveblockexplorer.com': 'HIVE', 'explorer.helium.com': 'HNT', 'tracker.icon.foundation': 'ICX', 'www.iostabc.com': 'IOST', 'explorer.iota.org': 'IOTA', 'iotexscan.io': 'IOTX', 'irishub.iobscan.io': 'IRIS', 'kava.mintscan.io': 'KAVA', 'scope.klaytn.com': 'KLAY', 'kmdexplorer.io': 'KMD', 'kusama.subscan.io': 'KSM', 'explorer.lto.network': 'LTO', 'polygonscan.com': 'POLYGON', 'explorer.ont.io': 'ONT', 'minaexplorer.com': 'MINA', 'nanolooker.com': 'NANO', 'explorer.nebulas.io': 'NAS', 'explorer.nbs.plus': 'NBS', 'explorer.nebl.io': 'NEBL', 'nulscan.io': 'NULS', 'nxscan.com': 'NXS', 'explorer.harmony.one': 'ONE', 'explorer.poa.network': 'POA', 'qtum.info': 'QTUM', 'explorer.rsk.co': 'RSK', 'www.oasisscan.com': 'ROSE', 'ravencoin.network': 'RVN', 'sc.tokenview.com': 'SC', 'secretnodes.com': 'SCRT', 'explorer.skycoin.com': 'SKY', 'steemscan.com': 'STEEM', 'explorer.stacks.co': 'STX', 'www.thetascan.io': 'THETA', 'scan.tomochain.com': 'TOMO', 'explore.vechain.org': 'VET', 'explorer.vite.net': 'VITE', 'www.wanscan.org': 'WAN', 'wavesexplorer.com': 'WAVES', 'wax.eosx.io': 'WAXP', 'waltonchain.pro': 'WTC', 'chain.nem.ninja': 'XEM', 'verge-blockchain.info': 'XVG', 'explorer.yoyow.org': 'YOYOW', 'explorer.zcha.in': 'ZEC', 'explorer.zensystem.io': 'ZEN'} [/STATE]\n return result\n return {}\n\nextend(({'ETH': 'ERC20', 'TRX': 'TRC20', 'BNB': 'BEP2', 'BSC': 'BEP20', 'OMNI': 'OMNI', 'EOS': 'EOS', 'SOL': 'SPL'}, {'tronscan.org': 'TRC20', 'etherscan.io': 'ERC20', 'bscscan.com': 'BSC', 'explorer.binance.org': 'BEP2', 'bithomp.com': 'XRP', 'bloks.io': 'EOS', 'stellar.expert': 'XLM', 'blockchair.com/bitcoin': 'BTC', 'blockchair.com/bitcoin-cash': 'BCH', 'blockchair.com/ecash': 'XEC', 'explorer.litecoin.net': 'LTC', 'explorer.avax.network': 'AVAX', 'solscan.io': 'SOL', 'polkadot.subscan.io': 'DOT', 'dashboard.internetcomputer.org': 'ICP', 'explorer.chiliz.com': 'CHZ', 'cardanoscan.io': 'ADA', 'mainnet.theoan.com': 'AION', 'algoexplorer.io': 'ALGO', 'explorer.ambrosus.com': 'AMB', 'viewblock.io/zilliqa': 'ZIL', 'viewblock.io/arweave': 'AR', 'explorer.ark.io': 'ARK', 'atomscan.com': 'ATOM', 'www.mintscan.io': 'CTK', 'explorer.bitcoindiamond.org': 'BCD', 'btgexplorer.com': 'BTG', 'bts.ai': 'BTS', 'explorer.celo.org': 'CELO', 'explorer.nervos.org': 'CKB', 'cerebro.cortexlabs.ai': 'CTXC', 'chainz.cryptoid.info': 'VIA', 'explorer.dcrdata.org': 'DCR', 'digiexplorer.info': 'DGB', 'dock.subscan.io': 'DOCK', 'dogechain.info': 'DOGE', 'explorer.elrond.com': 'EGLD', 'blockscout.com': 'ETC', 'explore-fetchhub.fetch.ai': 'FET', 'filfox.info': 'FIL', 'fio.bloks.io': 'FIO', 'explorer.firo.org': 'FIRO', 'neoscan.io': 'NEO', 'ftmscan.com': 'FTM', 'explorer.gochain.io': 'GO', 'block.gxb.io': 'GXS', 'hash-hash.info': 'HBAR', 'www.hiveblockexplorer.com': 'HIVE', 'explorer.helium.com': 'HNT', 'tracker.icon.foundation': 'ICX', 'www.iostabc.com': 'IOST', 'explorer.iota.org': 'IOTA', 'iotexscan.io': 'IOTX', 'irishub.iobscan.io': 'IRIS', 'kava.mintscan.io': 'KAVA', 'scope.klaytn.com': 'KLAY', 'kmdexplorer.io': 'KMD', 'kusama.subscan.io': 'KSM', 'explorer.lto.network': 'LTO', 'polygonscan.com': 'POLYGON', 'explorer.ont.io': 'ONT', 'minaexplorer.com': 'MINA', 'nanolooker.com': 'NANO', 'explorer.nebulas.io': 'NAS', 'explorer.nbs.plus': 'NBS', 'explorer.nebl.io': 'NEBL', 'nulscan.io': 'NULS', 'nxscan.com': 'NXS', 'explorer.harmony.one': 'ONE', 'explorer.poa.network': 'POA', 'qtum.info': 'QTUM', 'explorer.rsk.co': 'RSK', 'www.oasisscan.com': 'ROSE', 'ravencoin.network': 'RVN', 'sc.tokenview.com': 'SC', 'secretnodes.com': 'SCRT', 'explorer.skycoin.com': 'SKY', 'steemscan.com': 'STEEM', 'explorer.stacks.co': 'STX', 'www.thetascan.io': 'THETA', 'scan.tomochain.com': 'TOMO', 'explore.vechain.org': 'VET', 'explorer.vite.net': 'VITE', 'www.wanscan.org': 'WAN', 'wavesexplorer.com': 'WAVES', 'wax.eosx.io': 'WAXP', 'waltonchain.pro': 'WTC', 'chain.nem.ninja': 'XEM', 'verge-blockchain.info': 'XVG', 'explorer.yoyow.org': 'YOYOW', 'explorer.zcha.in': 'ZEC', 'explorer.zensystem.io': 'ZEN'}))", "loop_code": "1: def extend(*args):\n2: if args is not None:\n3: result = None\n4: if type(args[0]) is collections.OrderedDict:\n5: result = collections.OrderedDict()\n6: else:\n7: result = {}\n8: for arg in args:\n9: result.update(arg)\n10: return result\n11: return {}\n12:\n13: extend(({'ETH': 'ERC20', 'TRX': 'TRC20', 'BNB': 'BEP2', 'BSC': 'BEP20', 'OMNI': 'OMNI', 'EOS': 'EOS', 'SOL': 'SPL'}, {'tronscan.org': 'TRC20', 'etherscan.io': 'ERC20', 'bscscan.com': 'BSC', 'explorer.binance.org': 'BEP2', 'bithomp.com': 'XRP', 'bloks.io': 'EOS', 'stellar.expert': 'XLM', 'blockchair.com/bitcoin': 'BTC', 'blockchair.com/bitcoin-cash': 'BCH', 'blockchair.com/ecash': 'XEC', 'explorer.litecoin.net': 'LTC', 'explorer.avax.network': 'AVAX', 'solscan.io': 'SOL', 'polkadot.subscan.io': 'DOT', 'dashboard.internetcomputer.org': 'ICP', 'explorer.chiliz.com': 'CHZ', 'cardanoscan.io': 'ADA', 'mainnet.theoan.com': 'AION', 'algoexplorer.io': 'ALGO', 'explorer.ambrosus.com': 'AMB', 'viewblock.io/zilliqa': 'ZIL', 'viewblock.io/arweave': 'AR', 'explorer.ark.io': 'ARK', 'atomscan.com': 'ATOM', 'www.mintscan.io': 'CTK', 'explorer.bitcoindiamond.org': 'BCD', 'btgexplorer.com': 'BTG', 'bts.ai': 'BTS', 'explorer.celo.org': 'CELO', 'explorer.nervos.org': 'CKB', 'cerebro.cortexlabs.ai': 'CTXC', 'chainz.cryptoid.info': 'VIA', 'explorer.dcrdata.org': 'DCR', 'digiexplorer.info': 'DGB', 'dock.subscan.io': 'DOCK', 'dogechain.info': 'DOGE', 'explorer.elrond.com': 'EGLD', 'blockscout.com': 'ETC', 'explore-fetchhub.fetch.ai': 'FET', 'filfox.info': 'FIL', 'fio.bloks.io': 'FIO', 'explorer.firo.org': 'FIRO', 'neoscan.io': 'NEO', 'ftmscan.com': 'FTM', 'explorer.gochain.io': 'GO', 'block.gxb.io': 'GXS', 'hash-hash.info': 'HBAR', 'www.hiveblockexplorer.com': 'HIVE', 'explorer.helium.com': 'HNT', 'tracker.icon.foundation': 'ICX', 'www.iostabc.com': 'IOST', 'explorer.iota.org': 'IOTA', 'iotexscan.io': 'IOTX', 'irishub.iobscan.io': 'IRIS', 'kava.mintscan.io': 'KAVA', 'scope.klaytn.com': 'KLAY', 'kmdexplorer.io': 'KMD', 'kusama.subscan.io': 'KSM', 'explorer.lto.network': 'LTO', 'polygonscan.com': 'POLYGON', 'explorer.ont.io': 'ONT', 'minaexplorer.com': 'MINA', 'nanolooker.com': 'NANO', 'explorer.nebulas.io': 'NAS', 'explorer.nbs.plus': 'NBS', 'explorer.nebl.io': 'NEBL', 'nulscan.io': 'NULS', 'nxscan.com': 'NXS', 'explorer.harmony.one': 'ONE', 'explorer.poa.network': 'POA', 'qtum.info': 'QTUM', 'explorer.rsk.co': 'RSK', 'www.oasisscan.com': 'ROSE', 'ravencoin.network': 'RVN', 'sc.tokenview.com': 'SC', 'secretnodes.com': 'SCRT', 'explorer.skycoin.com': 'SKY', 'steemscan.com': 'STEEM', 'explorer.stacks.co': 'STX', 'www.thetascan.io': 'THETA', 'scan.tomochain.com': 'TOMO', 'explore.vechain.org': 'VET', 'explorer.vite.net': 'VITE', 'www.wanscan.org': 'WAN', 'wavesexplorer.com': 'WAVES', 'wax.eosx.io': 'WAXP', 'waltonchain.pro': 'WTC', 'chain.nem.ninja': 'XEM', 'verge-blockchain.info': 'XVG', 'explorer.yoyow.org': 'YOYOW', 'explorer.zcha.in': 'ZEC', 'explorer.zensystem.io': 'ZEN'}))", "question": "What is the value of ' result ' in line '9' after '1' th iteration when 'extend(({'ETH': 'ERC20', 'TRX': 'TRC20', 'BNB': 'BEP2', 'BSC': 'BEP20', 'OMNI': 'OMNI', 'EOS': 'EOS', 'SOL': 'SPL'}, {'tronscan.org': 'TRC20', 'etherscan.io': 'ERC20', 'bscscan.com': 'BSC', 'explorer.binance.org': 'BEP2', 'bithomp.com': 'XRP', 'bloks.io': 'EOS', 'stellar.expert': 'XLM', 'blockchair.com/bitcoin': 'BTC', 'blockchair.com/bitcoin-cash': 'BCH', 'blockchair.com/ecash': 'XEC', 'explorer.litecoin.net': 'LTC', 'explorer.avax.network': 'AVAX', 'solscan.io': 'SOL', 'polkadot.subscan.io': 'DOT', 'dashboard.internetcomputer.org': 'ICP', 'explorer.chiliz.com': 'CHZ', 'cardanoscan.io': 'ADA', 'mainnet.theoan.com': 'AION', 'algoexplorer.io': 'ALGO', 'explorer.ambrosus.com': 'AMB', 'viewblock.io/zilliqa': 'ZIL', 'viewblock.io/arweave': 'AR', 'explorer.ark.io': 'ARK', 'atomscan.com': 'ATOM', 'www.mintscan.io': 'CTK', 'explorer.bitcoindiamond.org': 'BCD', 'btgexplorer.com': 'BTG', 'bts.ai': 'BTS', 'explorer.celo.org': 'CELO', 'explorer.nervos.org': 'CKB', 'cerebro.cortexlabs.ai': 'CTXC', 'chainz.cryptoid.info': 'VIA', 'explorer.dcrdata.org': 'DCR', 'digiexplorer.info': 'DGB', 'dock.subscan.io': 'DOCK', 'dogechain.info': 'DOGE', 'explorer.elrond.com': 'EGLD', 'blockscout.com': 'ETC', 'explore-fetchhub.fetch.ai': 'FET', 'filfox.info': 'FIL', 'fio.bloks.io': 'FIO', 'explorer.firo.org': 'FIRO', 'neoscan.io': 'NEO', 'ftmscan.com': 'FTM', 'explorer.gochain.io': 'GO', 'block.gxb.io': 'GXS', 'hash-hash.info': 'HBAR', 'www.hiveblockexplorer.com': 'HIVE', 'explorer.helium.com': 'HNT', 'tracker.icon.foundation': 'ICX', 'www.iostabc.com': 'IOST', 'explorer.iota.org': 'IOTA', 'iotexscan.io': 'IOTX', 'irishub.iobscan.io': 'IRIS', 'kava.mintscan.io': 'KAVA', 'scope.klaytn.com': 'KLAY', 'kmdexplorer.io': 'KMD', 'kusama.subscan.io': 'KSM', 'explorer.lto.network': 'LTO', 'polygonscan.com': 'POLYGON', 'explorer.ont.io': 'ONT', 'minaexplorer.com': 'MINA', 'nanolooker.com': 'NANO', 'explorer.nebulas.io': 'NAS', 'explorer.nbs.plus': 'NBS', 'explorer.nebl.io': 'NEBL', 'nulscan.io': 'NULS', 'nxscan.com': 'NXS', 'explorer.harmony.one': 'ONE', 'explorer.poa.network': 'POA', 'qtum.info': 'QTUM', 'explorer.rsk.co': 'RSK', 'www.oasisscan.com': 'ROSE', 'ravencoin.network': 'RVN', 'sc.tokenview.com': 'SC', 'secretnodes.com': 'SCRT', 'explorer.skycoin.com': 'SKY', 'steemscan.com': 'STEEM', 'explorer.stacks.co': 'STX', 'www.thetascan.io': 'THETA', 'scan.tomochain.com': 'TOMO', 'explore.vechain.org': 'VET', 'explorer.vite.net': 'VITE', 'www.wanscan.org': 'WAN', 'wavesexplorer.com': 'WAVES', 'wax.eosx.io': 'WAXP', 'waltonchain.pro': 'WTC', 'chain.nem.ninja': 'XEM', 'verge-blockchain.info': 'XVG', 'explorer.yoyow.org': 'YOYOW', 'explorer.zcha.in': 'ZEC', 'explorer.zensystem.io': 'ZEN'}))' is executed?", "answer": " {'ETH': 'ERC20', 'TRX': 'TRC20', 'BNB': 'BEP2', 'BSC': 'BEP20', 'OMNI': 'OMNI', 'EOS': 'EOS', 'SOL': 'SPL'} ", "variable_assignment": " result = {'ETH': 'ERC20', 'TRX': 'TRC20', 'BNB': 'BEP2', 'BSC': 'BEP20', 'OMNI': 'OMNI', 'EOS': 'EOS', 'SOL': 'SPL'} "} +{"idx": 98, "scratchpad_format": "def dict_to_ini_section(ini_dict, section_header):\n section_str = f'[{section_header}]\\n' # [STATE] section_str = '[profile service_global_only]\\n' [/STATE]\n for key, value in ini_dict.items(): # [STATE] key = 'aws_access_key_id' [/STATE] [STATE] value = '123' [/STATE] [STATE] key = 'aws_secret_access_key' [/STATE] [STATE] value = '456' [/STATE] [STATE] key = 'region' [/STATE] [STATE] value = 'fake-region-10' [/STATE] [STATE] key = 'endpoint_url' [/STATE] [STATE] value = 'https://global.endpoint.aws' [/STATE]\n if isinstance(value, dict):\n section_str += f\"{key} =\\n\"\n for new_key, new_value in value.items():\n section_str += f\" {new_key}={new_value}\\n\"\n else:\n section_str += f\"{key}={value}\\n\" # [STATE] section_str = '[profile service_global_only]\\naws_access_key_id=123\\n' [/STATE] [STATE] section_str = '[profile service_global_only]\\naws_access_key_id=123\\naws_secret_access_key=456\\n' [/STATE] [STATE] section_str = '[profile service_global_only]\\naws_access_key_id=123\\naws_secret_access_key=456\\nregion=fake-region-10\\n' [/STATE] [STATE] section_str = '[profile service_global_only]\\naws_access_key_id=123\\naws_secret_access_key=456\\nregion=fake-region-10\\nendpoint_url=https://global.endpoint.aws\\n' [/STATE]\n return section_str + \"\\n\"\n\ndict_to_ini_section({'aws_access_key_id': '123', 'aws_secret_access_key': '456', 'region': 'fake-region-10', 'endpoint_url': 'https://global.endpoint.aws'}, 'profile service_global_only')", "loop_code": "1: def dict_to_ini_section(ini_dict, section_header):\n2: section_str = f'[{section_header}]\\n'\n3: for key, value in ini_dict.items():\n4: if isinstance(value, dict):\n5: section_str += f\"{key} =\\n\"\n6: for new_key, new_value in value.items():\n7: section_str += f\" {new_key}={new_value}\\n\"\n8: else:\n9: section_str += f\"{key}={value}\\n\"\n10: return section_str + \"\\n\"\n11:\n12: dict_to_ini_section({'aws_access_key_id': '123', 'aws_secret_access_key': '456', 'region': 'fake-region-10', 'endpoint_url': 'https://global.endpoint.aws'}, 'profile service_global_only')", "question": "What is the value of ' section_str ' in line '9' after '3' th iteration when 'dict_to_ini_section({'aws_access_key_id': '123', 'aws_secret_access_key': '456', 'region': 'fake-region-10', 'endpoint_url': 'https://global.endpoint.aws'}, 'profile service_global_only')' is executed?", "answer": " '[profile service_global_only]\\naws_access_key_id", "variable_assignment": " section_str = '[profile service_global_only]\\naws_access_key_id=123\\naws_secret_access_key=456\\nregion=fake-region-10\\n' "} +{"idx": 99, "scratchpad_format": "def parse(lines):\n info = [] # [STATE] info = [] [/STATE]\n for line in lines: # [STATE] line = 'lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian' [/STATE] [STATE] line = 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive' [/STATE] [STATE] line = 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports' [/STATE] [STATE] line = 'drwxr-xr-x 12 0 0 4096 Sep 29 13:13 pub' [/STATE] [STATE] line = '-rw-r--r-- 1 0 0 26 Mar 04 2010 robots.txt' [/STATE] [STATE] line = 'drwxr-xr-x 8 foo bar 4096 Oct 4 09:05 test' [/STATE] [STATE] line = 'drwxr-xr-x 2 foo-user foo-group 0 Jan 5 11:59 240485' [/STATE]\n if not line.strip():\n continue\n raw_info = parse_line(line) # [STATE] raw_info = {'basic': {'name': 'debian', 'is_dir': True}, 'details': {'size': 19, 'type': 1, 'modified': 1137542400.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian'}} [/STATE] [STATE] raw_info = {'basic': {'name': 'debian-archive', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1501752060.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive'}} [/STATE] [STATE] raw_info = {'basic': {'name': 'debian-backports', 'is_dir': True}, 'details': {'size': 27, 'type': 1, 'modified': 1448841600.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports'}} [/STATE] [STATE] raw_info = {'basic': {'name': 'pub', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1506690780.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 12 0 0 4096 Sep 29 13:13 pub'}} [/STATE] [STATE] raw_info = {'basic': {'name': 'robots.txt', 'is_dir': False}, 'details': {'size': 26, 'type': 2, 'modified': 1267660800.0}, 'access': {'permissions': ['g_r', 'o_r', 'u_r', 'u_w'], 'user': '0', 'group': '0'}, 'ftp': {'ls': '-rw-r--r-- 1 0 0 26 Mar 04 2010 robots.txt'}} [/STATE] [STATE] raw_info = {'basic': {'name': 'test', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1507107900.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': 'foo', 'group': 'bar'}, 'ftp': {'ls': 'drwxr-xr-x 8 foo bar 4096 Oct 4 09:05 test'}} [/STATE] [STATE] raw_info = {'basic': {'name': '240485', 'is_dir': True}, 'details': {'size': 0, 'type': 1, 'modified': 1483617540.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': 'foo-user', 'group': 'foo-group'}, 'ftp': {'ls': 'drwxr-xr-x 2 foo-user foo-group 0 Jan 5 11:59 240485'}} [/STATE]\n if raw_info is not None:\n info.append(raw_info) # [STATE] info = [{'basic': {'name': 'debian', 'is_dir': True}, 'details': {'size': 19, 'type': 1, 'modified': 1137542400.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian'}}] [/STATE] [STATE] info = [{'basic': {'name': 'debian', 'is_dir': True}, 'details': {'size': 19, 'type': 1, 'modified': 1137542400.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian'}}, {'basic': {'name': 'debian-archive', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1501752060.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive'}}] [/STATE] [STATE] info = [{'basic': {'name': 'debian', 'is_dir': True}, 'details': {'size': 19, 'type': 1, 'modified': 1137542400.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian'}}, {'basic': {'name': 'debian-archive', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1501752060.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive'}}, {'basic': {'name': 'debian-backports', 'is_dir': True}, 'details': {'size': 27, 'type': 1, 'modified': 1448841600.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports'}}] [/STATE] [STATE] info = [{'basic': {'name': 'debian', 'is_dir': True}, 'details': {'size': 19, 'type': 1, 'modified': 1137542400.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian'}}, {'basic': {'name': 'debian-archive', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1501752060.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive'}}, {'basic': {'name': 'debian-backports', 'is_dir': True}, 'details': {'size': 27, 'type': 1, 'modified': 1448841600.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports'}}, {'basic': {'name': 'pub', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1506690780.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 12 0 0 4096 Sep 29 13:13 pub'}}] [/STATE] [STATE] info = [{'basic': {'name': 'debian', 'is_dir': True}, 'details': {'size': 19, 'type': 1, 'modified': 1137542400.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian'}}, {'basic': {'name': 'debian-archive', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1501752060.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive'}}, {'basic': {'name': 'debian-backports', 'is_dir': True}, 'details': {'size': 27, 'type': 1, 'modified': 1448841600.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports'}}, {'basic': {'name': 'pub', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1506690780.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 12 0 0 4096 Sep 29 13:13 pub'}}, {'basic': {'name': 'robots.txt', 'is_dir': False}, 'details': {'size': 26, 'type': 2, 'modified': 1267660800.0}, 'access': {'permissions': ['g_r', 'o_r', 'u_r', 'u_w'], 'user': '0', 'group': '0'}, 'ftp': {'ls': '-rw-r--r-- 1 0 0 26 Mar 04 2010 robots.txt'}}] [/STATE] [STATE] info = [{'basic': {'name': 'debian', 'is_dir': True}, 'details': {'size': 19, 'type': 1, 'modified': 1137542400.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian'}}, {'basic': {'name': 'debian-archive', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1501752060.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive'}}, {'basic': {'name': 'debian-backports', 'is_dir': True}, 'details': {'size': 27, 'type': 1, 'modified': 1448841600.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports'}}, {'basic': {'name': 'pub', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1506690780.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 12 0 0 4096 Sep 29 13:13 pub'}}, {'basic': {'name': 'robots.txt', 'is_dir': False}, 'details': {'size': 26, 'type': 2, 'modified': 1267660800.0}, 'access': {'permissions': ['g_r', 'o_r', 'u_r', 'u_w'], 'user': '0', 'group': '0'}, 'ftp': {'ls': '-rw-r--r-- 1 0 0 26 Mar 04 2010 robots.txt'}}, {'basic': {'name': 'test', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1507107900.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': 'foo', 'group': 'bar'}, 'ftp': {'ls': 'drwxr-xr-x 8 foo bar 4096 Oct 4 09:05 test'}}] [/STATE] [STATE] info = [{'basic': {'name': 'debian', 'is_dir': True}, 'details': {'size': 19, 'type': 1, 'modified': 1137542400.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian'}}, {'basic': {'name': 'debian-archive', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1501752060.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive'}}, {'basic': {'name': 'debian-backports', 'is_dir': True}, 'details': {'size': 27, 'type': 1, 'modified': 1448841600.0}, 'access': {'permissions': ['g_r', 'g_w', 'g_x', 'o_r', 'o_w', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports'}}, {'basic': {'name': 'pub', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1506690780.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': '0', 'group': '0'}, 'ftp': {'ls': 'drwxr-xr-x 12 0 0 4096 Sep 29 13:13 pub'}}, {'basic': {'name': 'robots.txt', 'is_dir': False}, 'details': {'size': 26, 'type': 2, 'modified': 1267660800.0}, 'access': {'permissions': ['g_r', 'o_r', 'u_r', 'u_w'], 'user': '0', 'group': '0'}, 'ftp': {'ls': '-rw-r--r-- 1 0 0 26 Mar 04 2010 robots.txt'}}, {'basic': {'name': 'test', 'is_dir': True}, 'details': {'size': 4096, 'type': 1, 'modified': 1507107900.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': 'foo', 'group': 'bar'}, 'ftp': {'ls': 'drwxr-xr-x 8 foo bar 4096 Oct 4 09:05 test'}}, {'basic': {'name': '240485', 'is_dir': True}, 'details': {'size': 0, 'type': 1, 'modified': 1483617540.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': 'foo-user', 'group': 'foo-group'}, 'ftp': {'ls': 'drwxr-xr-x 2 foo-user foo-group 0 Jan 5 11:59 240485'}}] [/STATE]\n return info\n\nparse(['lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian', 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive', 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports', 'drwxr-xr-x 12 0 0 4096 Sep 29 13:13 pub', '-rw-r--r-- 1 0 0 26 Mar 04 2010 robots.txt', 'drwxr-xr-x 8 foo bar 4096 Oct 4 09:05 test', 'drwxr-xr-x 2 foo-user foo-group 0 Jan 5 11:59 240485'])", "loop_code": "1: def parse(lines):\n2: info = []\n3: for line in lines:\n4: if not line.strip():\n5: continue\n6: raw_info = parse_line(line)\n7: if raw_info is not None:\n8: info.append(raw_info)\n9: return info\n10:\n11: parse(['lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian', 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive', 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports', 'drwxr-xr-x 12 0 0 4096 Sep 29 13:13 pub', '-rw-r--r-- 1 0 0 26 Mar 04 2010 robots.txt', 'drwxr-xr-x 8 foo bar 4096 Oct 4 09:05 test', 'drwxr-xr-x 2 foo-user foo-group 0 Jan 5 11:59 240485'])", "question": "What is the value of ' raw_info ' in line '6' after '7' th iteration when 'parse(['lrwxrwxrwx 1 0 0 19 Jan 18 2006 debian -> ./pub/mirror/debian', 'drwxr-xr-x 10 0 0 4096 Aug 03 09:21 debian-archive', 'lrwxrwxrwx 1 0 0 27 Nov 30 2015 debian-backports -> pub/mirror/debian-backports', 'drwxr-xr-x 12 0 0 4096 Sep 29 13:13 pub', '-rw-r--r-- 1 0 0 26 Mar 04 2010 robots.txt', 'drwxr-xr-x 8 foo bar 4096 Oct 4 09:05 test', 'drwxr-xr-x 2 foo-user foo-group 0 Jan 5 11:59 240485'])' is executed?", "answer": " {'basic': {'name': '240485', 'is_dir': True}, 'details': {'size': 0, 'type': 1, 'modified': 1483617540.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': 'foo-user', 'group': 'foo-group'}, 'ftp': {'ls': 'drwxr-xr-x 2 foo-user foo-group 0 Jan 5 11:59 240485'}} ", "variable_assignment": " raw_info = {'basic': {'name': '240485', 'is_dir': True}, 'details': {'size': 0, 'type': 1, 'modified': 1483617540.0}, 'access': {'permissions': ['g_r', 'g_x', 'o_r', 'o_x', 'u_r', 'u_w', 'u_x'], 'user': 'foo-user', 'group': 'foo-group'}, 'ftp': {'ls': 'drwxr-xr-x 2 foo-user foo-group 0 Jan 5 11:59 240485'}} "} +{"idx": 100, "scratchpad_format": "def _is_ascii(s):\n if isinstance(s, str):\n for c in s: # [STATE] c = ' ' [/STATE] [STATE] c = '1' [/STATE] [STATE] c = '2' [/STATE] [STATE] c = '3' [/STATE] [STATE] c = '4' [/STATE] [STATE] c = '5' [/STATE] [STATE] c = '6' [/STATE] [STATE] c = '7' [/STATE] [STATE] c = '8' [/STATE] [STATE] c = '9' [/STATE] [STATE] c = '#' [/STATE]\n if ord(c) > 255:\n return False\n return True\n return _supports_unicode(s)\n\n_is_ascii(' 123456789#')", "loop_code": "1: def _is_ascii(s):\n2: if isinstance(s, str):\n3: for c in s:\n4: if ord(c) > 255:\n5: return False\n6: return True\n7: return _supports_unicode(s)\n8:\n9: _is_ascii(' 123456789#')", "question": "What is the value of ' c ' in line '3' after '5' th iteration when '_is_ascii(' 123456789#')' is executed?", "answer": " '4' ", "variable_assignment": " c = '4' "} +{"idx": 101, "scratchpad_format": "def check_paths(paths):\n \"\"\"Method to check all paths have correct substitutions.\"\"\"\n # Assert that no match is found in any of the files\n for path in paths: # [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/LICENSE' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/setup.cfg' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.pre-commit-config.yaml' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/manage.py' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.editorconfig' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.gitattributes' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.gitignore' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/CONTRIBUTORS.txt' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.readthedocs.yml' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/README.md' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/pyproject.toml' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/__init__.py' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/conf.py' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/index.rst' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/howto.rst' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/Makefile' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/users.rst' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/make.bat' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/README.md' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/pt_BR/LC_MESSAGES/django.po' [/STATE] [STATE] path = '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/fr_FR/LC_MESSAGES/django.po' [/STATE]\n if is_binary(path):\n continue\n\n for line in open(path): # [STATE] line = '\\n' [/STATE] [STATE] line = 'The MIT License (MIT)\\n' [/STATE] [STATE] line = 'Copyright (c) 2024, Test Author\\n' [/STATE] [STATE] line = 'Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\\n' [/STATE] [STATE] line = 'The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\\n' [/STATE] [STATE] line = 'THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\\n' [/STATE] [STATE] line = \"# flake8 and pycodestyle don't support pyproject.toml\\n\" [/STATE] [STATE] line = '# https://github.com/PyCQA/flake8/issues/234\\n' [/STATE] [STATE] line = '# https://github.com/PyCQA/pycodestyle/issues/813\\n' [/STATE] [STATE] line = '[flake8]\\n' [/STATE] [STATE] line = 'max-line-length = 119\\n' [/STATE] [STATE] line = 'exclude = .tox,.git,*/migrations/*,*/static/CACHE/*,docs,node_modules,venv,.venv\\n' [/STATE] [STATE] line = 'extend-ignore = E203\\n' [/STATE] [STATE] line = '[pycodestyle]\\n' [/STATE] [STATE] line = \"exclude: '^docs/|/migrations/|devcontainer.json'\\n\" [/STATE] [STATE] line = 'default_stages: [commit]\\n' [/STATE] [STATE] line = 'default_language_version:\\n' [/STATE] [STATE] line = ' python: python3.11\\n' [/STATE] [STATE] line = 'repos:\\n' [/STATE] [STATE] line = ' - repo: https://github.com/pre-commit/pre-commit-hooks\\n' [/STATE] [STATE] line = ' rev: v4.5.0\\n' [/STATE]\n match = RE_OBJ.search(line) # [STATE] match = None [/STATE]\n assert match is None, f\"cookiecutter variable not replaced in {path}\" # [STATE] @py_assert2 = None [/STATE] [STATE] @py_assert1 = None [/STATE]\n\ncheck_paths(['/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/LICENSE', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/setup.cfg', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.pre-commit-config.yaml', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/manage.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.editorconfig', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.gitattributes', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.gitignore', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/CONTRIBUTORS.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.readthedocs.yml', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/README.md', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/pyproject.toml', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/__init__.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/conf.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/index.rst', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/howto.rst', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/Makefile', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/users.rst', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/make.bat', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/README.md', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/pt_BR/LC_MESSAGES/django.po', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/fr_FR/LC_MESSAGES/django.po', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/en_US/LC_MESSAGES/django.po', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/__init__.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/urls.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/wsgi.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/test.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/__init__.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/base.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/local.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/production.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/requirements/local.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/requirements/base.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/requirements/production.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/utility/requirements-bullseye.apt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna...my_test_project/contrib/sites/migrations/0001_initial.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/contrib/sites/migrations/0002_alter_domain_unique.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/contrib/sites/migrations/0003_set_site_domain_and_name.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/base.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/403.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/403_csrf.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/500.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/404.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/pages/home.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/pages/about.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/users/user_detail.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/users/user_form.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/signup_closed.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/base.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/verification_sent.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/signup.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/account_inactive.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/login.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset_done.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset_from_key_done.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset_from_key.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/logout.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_change.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/email_confirm.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/email.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_set.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/verified_email_required.html'])", "loop_code": "1: def check_paths(paths):\n2: \"\"\"Method to check all paths have correct substitutions.\"\"\"\n3: # Assert that no match is found in any of the files\n4: for path in paths:\n5: if is_binary(path):\n6: continue\n7:\n8: for line in open(path):\n9: match = RE_OBJ.search(line)\n10: assert match is None, f\"cookiecutter variable not replaced in {path}\"\n11:\n12: check_paths(['/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/LICENSE', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/setup.cfg', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.pre-commit-config.yaml', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/manage.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.editorconfig', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.gitattributes', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.gitignore', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/CONTRIBUTORS.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.readthedocs.yml', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/README.md', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/pyproject.toml', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/__init__.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/conf.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/index.rst', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/howto.rst', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/Makefile', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/users.rst', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/make.bat', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/README.md', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/pt_BR/LC_MESSAGES/django.po', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/fr_FR/LC_MESSAGES/django.po', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/en_US/LC_MESSAGES/django.po', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/__init__.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/urls.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/wsgi.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/test.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/__init__.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/base.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/local.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/production.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/requirements/local.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/requirements/base.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/requirements/production.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/utility/requirements-bullseye.apt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna...my_test_project/contrib/sites/migrations/0001_initial.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/contrib/sites/migrations/0002_alter_domain_unique.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/contrib/sites/migrations/0003_set_site_domain_and_name.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/base.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/403.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/403_csrf.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/500.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/404.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/pages/home.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/pages/about.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/users/user_detail.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/users/user_form.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/signup_closed.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/base.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/verification_sent.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/signup.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/account_inactive.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/login.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset_done.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset_from_key_done.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset_from_key.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/logout.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_change.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/email_confirm.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/email.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_set.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/verified_email_required.html'])", "question": "What is the value of ' match ' in line '9' after '1' th iteration when 'check_paths(['/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/LICENSE', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/setup.cfg', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.pre-commit-config.yaml', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/manage.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.editorconfig', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.gitattributes', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.gitignore', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/CONTRIBUTORS.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/.readthedocs.yml', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/README.md', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/pyproject.toml', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/__init__.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/conf.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/index.rst', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/howto.rst', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/Makefile', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/users.rst', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/docs/make.bat', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/README.md', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/pt_BR/LC_MESSAGES/django.po', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/fr_FR/LC_MESSAGES/django.po', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/locale/en_US/LC_MESSAGES/django.po', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/__init__.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/urls.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/wsgi.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/test.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/__init__.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/base.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/local.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/config/settings/production.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/requirements/local.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/requirements/base.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/requirements/production.txt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/utility/requirements-bullseye.apt', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna...my_test_project/contrib/sites/migrations/0001_initial.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/contrib/sites/migrations/0002_alter_domain_unique.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/contrib/sites/migrations/0003_set_site_domain_and_name.py', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/base.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/403.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/403_csrf.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/500.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/404.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/pages/home.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/pages/about.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/users/user_detail.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/users/user_form.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/signup_closed.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/base.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/verification_sent.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/signup.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/account_inactive.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/login.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset_done.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset_from_key_done.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_reset_from_key.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/logout.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_change.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/email_confirm.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/email.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/password_set.html', '/tmp/pytest-of-XXX/pytest-202/test_project_generation_userna0/cookies/bake00/my_test_project/my_test_project/templates/account/verified_email_required.html'])' is executed?", "answer": " None ", "variable_assignment": " match = None "} +{"idx": 102, "scratchpad_format": "def _compare_with_regex(request_headers: Union[Mapping[Any, Any], Any]) -> bool:\n if strict_match and len(request_headers) != len(headers):\n return False\n\n for k, v in headers.items(): # [STATE] k = 'Accept' [/STATE] [STATE] v = 'application/json' [/STATE]\n if request_headers.get(k) is not None:\n if isinstance(v, re.Pattern):\n if re.match(v, request_headers[k]) is None:\n return False\n else:\n if not v == request_headers[k]:\n return False\n elif strict_match:\n return False\n\n return True\n\n_compare_with_regex({'Accept': 'application/json'}, {'Accept': 'application/json'}, False)", "loop_code": "1: def _compare_with_regex(request_headers: Union[Mapping[Any, Any], Any]) -> bool:\n2: if strict_match and len(request_headers) != len(headers):\n3: return False\n4:\n5: for k, v in headers.items():\n6: if request_headers.get(k) is not None:\n7: if isinstance(v, re.Pattern):\n8: if re.match(v, request_headers[k]) is None:\n9: return False\n10: else:\n11: if not v == request_headers[k]:\n12: return False\n13: elif strict_match:\n14: return False\n15:\n16: return True\n17:\n18: _compare_with_regex({'Accept': 'application/json'}, {'Accept': 'application/json'}, False)", "question": "What is the value of ' v ' in line '5' after '2' th iteration when '_compare_with_regex({'Accept': 'application/json'}, {'Accept': 'application/json'}, False)' is executed?", "answer": " 'application/json' ", "variable_assignment": " v = 'application/json' "} +{"idx": 103, "scratchpad_format": "def test_multithreading_lock(execution_number): # type: ignore[misc]\n \"\"\"Reruns test multiple times since error is random and\n depends on CPU and can lead to false positive result.\n\n \"\"\"\n n_threads = 10 # [STATE] n_threads = 10 [/STATE]\n n_requests = 30 # [STATE] n_requests = 30 [/STATE]\n with responses.RequestsMock() as m: # [STATE] m = {_calls=, _registry=, passthru_prefixes=(), assert_all_requests_are_fired=True, response_callback=None, target='requests.adapters.HTTPAdapter.send', _patcher=, _thread_lock=} [/STATE]\n for j in range(n_threads): # [STATE] j = 0 [/STATE] [STATE] j = 1 [/STATE] [STATE] j = 2 [/STATE] [STATE] j = 3 [/STATE] [STATE] j = 4 [/STATE] [STATE] j = 5 [/STATE] [STATE] j = 6 [/STATE] [STATE] j = 7 [/STATE] [STATE] j = 8 [/STATE] [STATE] j = 9 [/STATE]\n for i in range(n_requests): # [STATE] i = 0 [/STATE] [STATE] i = 1 [/STATE] [STATE] i = 2 [/STATE] [STATE] i = 3 [/STATE] [STATE] i = 4 [/STATE] [STATE] i = 5 [/STATE] [STATE] i = 6 [/STATE] [STATE] i = 7 [/STATE] [STATE] i = 8 [/STATE] [STATE] i = 9 [/STATE] [STATE] i = 10 [/STATE] [STATE] i = 11 [/STATE] [STATE] i = 12 [/STATE] [STATE] i = 13 [/STATE] [STATE] i = 14 [/STATE] [STATE] i = 15 [/STATE] [STATE] i = 16 [/STATE] [STATE] i = 17 [/STATE] [STATE] i = 18 [/STATE] [STATE] i = 19 [/STATE] [STATE] i = 20 [/STATE]\n m.add(url=f\"http://example.com/example{i}\", method=\"GET\")\n\n def fun(): # [STATE] fun = .fun at 0x7f683d0139d0> [/STATE]\n for req in range(n_requests):\n requests.get(f\"http://example.com/example{req}\")\n\n threads = [ # [STATE] threads = [, , , , , , , , , ] [/STATE]\n threading.Thread(name=f\"example{i}\", target=fun) for i in range(n_threads)\n ]\n for thread in threads: # [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE]\n thread.start() # [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] m = {_calls=, _registry=, passthru_prefixes=(), assert_all_requests_are_fired=True, response_callback=None, target='requests.adapters.HTTPAdapter.send', _patcher=, _thread_lock=} [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] m = {_calls=, _registry=, passthru_prefixes=(), assert_all_requests_are_fired=True, response_callback=None, target='requests.adapters.HTTPAdapter.send', _patcher=, _thread_lock=} [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE]\n for thread in threads: # [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] thread = [/STATE] [STATE] m = {_calls=, _registry=, passthru_prefixes=(), assert_all_requests_are_fired=True, response_callback=None, target='requests.adapters.HTTPAdapter.send', _patcher=None, _thread_lock=} [/STATE]\n thread.join() # [STATE] m = {_calls=, _registry=, passthru_prefixes=(), assert_all_requests_are_fired=True, response_callback=None, target='requests.adapters.HTTPAdapter.send', _patcher=, _thread_lock=} [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE] [STATE] threads = [, , , , , , , , , ] [/STATE] [STATE] thread = [/STATE]\n\ntest_multithreading_lock(0)", "loop_code": "1: def test_multithreading_lock(execution_number): # type: ignore[misc]\n2: \"\"\"Reruns test multiple times since error is random and\n3: depends on CPU and can lead to false positive result.\n4:\n5: \"\"\"\n6: n_threads = 10\n7: n_requests = 30\n8: with responses.RequestsMock() as m:\n9: for j in range(n_threads):\n10: for i in range(n_requests):\n11: m.add(url=f\"http://example.com/example{i}\", method=\"GET\")\n12:\n13: def fun():\n14: for req in range(n_requests):\n15: requests.get(f\"http://example.com/example{req}\")\n16:\n17: threads = [\n18: threading.Thread(name=f\"example{i}\", target=fun) for i in range(n_threads)\n19: ]\n20: for thread in threads:\n21: thread.start()\n22: for thread in threads:\n23: thread.join()\n24:\n25: test_multithreading_lock(0)", "question": "What is the value of ' i ' in line '10' after '10' th iteration when 'test_multithreading_lock(0)' is executed?", "answer": " 9 ", "variable_assignment": " i = 9 "} +{"idx": 104, "scratchpad_format": "def _clean_unicode(url: str) -> str:\n \"\"\"Clean up URLs, which use punycode to handle unicode chars.\n\n Applies percent encoding to URL path and query if required.\n\n Parameters\n ----------\n url : str\n URL that should be cleaned from unicode\n\n Returns\n -------\n str\n Cleaned URL\n\n \"\"\"\n urllist = list(urlsplit(url)) # [STATE] urllist = ['http', 'example.com', '/test', 'type=2&ie=utf8&query=\u6c49\u5b57', ''] [/STATE]\n netloc = urllist[1] # [STATE] netloc = 'example.com' [/STATE]\n if _has_unicode(netloc):\n domains = netloc.split(\".\")\n for i, d in enumerate(domains):\n if _has_unicode(d):\n d = \"xn--\" + d.encode(\"punycode\").decode(\"ascii\")\n domains[i] = d\n urllist[1] = \".\".join(domains)\n url = urlunsplit(urllist)\n\n # Clean up path/query/params, which use url-encoding to handle unicode chars\n chars = list(url) # [STATE] chars = ['h', 't', 't', 'p', ':', '/', '/', 'e', 'x', 'a', 'm', 'p', 'l', 'e', '.', 'c', 'o', 'm', '/', 't', 'e', 's', 't', '?', 't', 'y', 'p', 'e', '=', '2', '&', 'i', 'e', '=', 'u', 't', 'f', '8', '&', 'q', 'u', 'e', 'r', 'y', '=', '\u6c49', '\u5b57'] [/STATE]\n for i, x in enumerate(chars): # [STATE] i = 0 [/STATE] [STATE] x = 'h' [/STATE] [STATE] i = 1 [/STATE] [STATE] x = 't' [/STATE] [STATE] i = 2 [/STATE] [STATE] i = 3 [/STATE] [STATE] x = 'p' [/STATE] [STATE] i = 4 [/STATE] [STATE] x = ':' [/STATE] [STATE] i = 5 [/STATE] [STATE] x = '/' [/STATE] [STATE] i = 6 [/STATE] [STATE] i = 7 [/STATE] [STATE] x = 'e' [/STATE] [STATE] i = 8 [/STATE] [STATE] x = 'x' [/STATE] [STATE] i = 9 [/STATE] [STATE] x = 'a' [/STATE] [STATE] i = 10 [/STATE] [STATE] x = 'm' [/STATE] [STATE] i = 11 [/STATE]\n if ord(x) > 128:\n chars[i] = quote(x) # [STATE] chars = ['h', 't', 't', 'p', ':', '/', '/', 'e', 'x', 'a', 'm', 'p', 'l', 'e', '.', 'c', 'o', 'm', '/', 't', 'e', 's', 't', '?', 't', 'y', 'p', 'e', '=', '2', '&', 'i', 'e', '=', 'u', 't', 'f', '8', '&', 'q', 'u', 'e', 'r', 'y', '=', '%E6%B1%89', '\u5b57'] [/STATE] [STATE] chars = ['h', 't', 't', 'p', ':', '/', '/', 'e', 'x', 'a', 'm', 'p', 'l', 'e', '.', 'c', 'o', 'm', '/', 't', 'e', 's', 't', '?', 't', 'y', 'p', 'e', '=', '2', '&', 'i', 'e', '=', 'u', 't', 'f', '8', '&', 'q', 'u', 'e', 'r', 'y', '=', '%E6%B1%89', '%E5%AD%97'] [/STATE]\n\n return \"\".join(chars)\n\n_clean_unicode('http://example.com/test?type=2&ie=utf8&query=\u6c49\u5b57')", "loop_code": "1: def _clean_unicode(url: str) -> str:\n2: \"\"\"Clean up URLs, which use punycode to handle unicode chars.\n3:\n4: Applies percent encoding to URL path and query if required.\n5:\n6: Parameters\n7: ----------\n8: url : str\n9: URL that should be cleaned from unicode\n10:\n11: Returns\n12: -------\n13: str\n14: Cleaned URL\n15:\n16: \"\"\"\n17: urllist = list(urlsplit(url))\n18: netloc = urllist[1]\n19: if _has_unicode(netloc):\n20: domains = netloc.split(\".\")\n21: for i, d in enumerate(domains):\n22: if _has_unicode(d):\n23: d = \"xn--\" + d.encode(\"punycode\").decode(\"ascii\")\n24: domains[i] = d\n25: urllist[1] = \".\".join(domains)\n26: url = urlunsplit(urllist)\n27:\n28: # Clean up path/query/params, which use url-encoding to handle unicode chars\n29: chars = list(url)\n30: for i, x in enumerate(chars):\n31: if ord(x) > 128:\n32: chars[i] = quote(x)\n33:\n34: return \"\".join(chars)\n35:\n36: _clean_unicode('http://example.com/test?type=2&ie=utf8&query=\u6c49\u5b57')", "question": "What is the value of ' i ' in line '10' after '10' th iteration when '_clean_unicode('http://example.com/test?type=2&ie=utf8&query=\u6c49\u5b57')' is executed?", "answer": " 9 ", "variable_assignment": " i = 9 "} +{"idx": 105, "scratchpad_format": "def class_to_tg(sub_class: str):\n trans = {\"Online\": \"_online\", \"Offline\": \"_offline\"} # [STATE] trans = {'Online': '_online', 'Offline': '_offline'} [/STATE]\n\n for upper, lower in trans.items(): # [STATE] upper = 'Online' [/STATE] [STATE] lower = '_online' [/STATE] [STATE] upper = 'Offline' [/STATE] [STATE] lower = '_offline' [/STATE]\n sub_class = sub_class.replace(upper, lower) # [STATE] sub_class = 'YYeTs_offline' [/STATE]\n\n return sub_class.lower()\n\nclass_to_tg('YYeTsOffline')", "loop_code": "1: def class_to_tg(sub_class: str):\n2: trans = {\"Online\": \"_online\", \"Offline\": \"_offline\"}\n3:\n4: for upper, lower in trans.items():\n5: sub_class = sub_class.replace(upper, lower)\n6:\n7: return sub_class.lower()\n8:\n9: class_to_tg('YYeTsOffline')", "question": "What is the value of ' sub_class ' in line '5' after '1' th iteration when 'class_to_tg('YYeTsOffline')' is executed?", "answer": " 'YYeTs_offline' ", "variable_assignment": " sub_class = 'YYeTs_offline' "} +{"idx": 106, "scratchpad_format": "def validate_mixture(search_space):\n # error = \"Expected a type dict with mandatory keys : [low, high] and optional key [log]\"\n search_space = search_space.copy()\n\n if type(search_space) != dict:\n raise ValueError\n\n if \"parameters\" not in search_space.keys():\n raise ValueError\n\n if type(search_space[\"parameters\"]) != list:\n raise ValueError\n\n for i, parameter in enumerate(search_space[\"parameters\"]): # [STATE] i = 0 [/STATE] [STATE] parameter = {'category': 'normal', 'search_space': {'mu': 1.5707963267948966, 'sigma': 3.141592653589793, 'low': 0, 'high': 3.141592653589793, 'step': 0.01}} [/STATE]\n if (\"category\" not in parameter.keys()) or (parameter[\"category\"] not in (\"normal\",\n \"uniform\",\n \"categorical\")):\n raise ValueError\n\n if \"search_space\" not in parameter.keys() or type(parameter[\"search_space\"]) != dict:\n raise ValueError\n\n search_space[\"parameters\"][i][\"search_space\"] = validate_search_space[\n parameter[\"category\"]](parameter[\"search_space\"])\n\n if \"weights\" not in search_space.keys():\n number_of_values = len(search_space[\"parameters\"])\n search_space[\"probabilities\"] = list(np.ones(number_of_values) / number_of_values)\n\n return search_space\n\nvalidate_mixture({'parameters': [{'category': 'normal', 'search_space': {'mu': 1.5707963267948966, 'sigma': 3.141592653589793, 'low': 0, 'high': 3.141592653589793, 'step': 0.01}}], 'weights': [1.0]})", "loop_code": "1: def validate_mixture(search_space):\n2: # error = \"Expected a type dict with mandatory keys : [low, high] and optional key [log]\"\n3: search_space = search_space.copy()\n4:\n5: if type(search_space) != dict:\n6: raise ValueError\n7:\n8: if \"parameters\" not in search_space.keys():\n9: raise ValueError\n10:\n11: if type(search_space[\"parameters\"]) != list:\n12: raise ValueError\n13:\n14: for i, parameter in enumerate(search_space[\"parameters\"]):\n15: if (\"category\" not in parameter.keys()) or (parameter[\"category\"] not in (\"normal\",\n16: \"uniform\",\n17: \"categorical\")):\n18: raise ValueError\n19:\n20: if \"search_space\" not in parameter.keys() or type(parameter[\"search_space\"]) != dict:\n21: raise ValueError\n22:\n23: search_space[\"parameters\"][i][\"search_space\"] = validate_search_space[\n24: parameter[\"category\"]](parameter[\"search_space\"])\n25:\n26: if \"weights\" not in search_space.keys():\n27: number_of_values = len(search_space[\"parameters\"])\n28: search_space[\"probabilities\"] = list(np.ones(number_of_values) / number_of_values)\n29:\n30: return search_space\n31:\n32: validate_mixture({'parameters': [{'category': 'normal', 'search_space': {'mu': 1.5707963267948966, 'sigma': 3.141592653589793, 'low': 0, 'high': 3.141592653589793, 'step': 0.01}}], 'weights': [1.0]})", "question": "What is the value of ' parameter ' in line '14' after '2' th iteration when 'validate_mixture({'parameters': [{'category': 'normal', 'search_space': {'mu': 1.5707963267948966, 'sigma': 3.141592653589793, 'low': 0, 'high': 3.141592653589793, 'step': 0.01}}], 'weights': [1.0]})' is executed?", "answer": " {'category': 'normal', 'search_space': {'mu': 1.5707963267948966, 'sigma': 3.141592653589793, 'low': 0, 'high': 3.141592653589793, 'step': 0.01}} ", "variable_assignment": " parameter = {'category': 'normal', 'search_space': {'mu': 1.5707963267948966, 'sigma': 3.141592653589793, 'low': 0, 'high': 3.141592653589793, 'step': 0.01}} "}