gonglinyuan/CoSQA · Datasets at AI快站

code_tokens stringlengths 60 3.94k	label int64 0 1	doc stringlengths 16 98	docstring_tokens stringlengths 0 1.41k	idx stringlengths 13 17	code stringlengths 87 6.4k
def text_coords ( string , position ) : line_start = string . rfind ( '\n' , 0 , position ) + 1 line_end = string . find ( '\n' , position ) lineno = string . count ( '\n' , 0 , position ) columnno = position - line_start line = string [ line_start : line_end ] return ( lineno , columnno , line )	0	how to index through a string to get certain positions python	r Transform a simple index into a human - readable position in a string .	cosqa-train-18900	def text_coords(string, position): r""" Transform a simple index into a human-readable position in a string. This function accepts a string and an index, and will return a triple of `(lineno, columnno, line)` representing the position through the text. It's useful for displaying a string index in a human-readable way:: >>> s = "abcdef\nghijkl\nmnopqr\nstuvwx\nyz" >>> text_coords(s, 0) (0, 0, 'abcdef') >>> text_coords(s, 4) (0, 4, 'abcdef') >>> text_coords(s, 6) (0, 6, 'abcdef') >>> text_coords(s, 7) (1, 0, 'ghijkl') >>> text_coords(s, 11) (1, 4, 'ghijkl') >>> text_coords(s, 15) (2, 1, 'mnopqr') """ line_start = string.rfind('\n', 0, position) + 1 line_end = string.find('\n', position) lineno = string.count('\n', 0, position) columnno = position - line_start line = string[line_start:line_end] return (lineno, columnno, line)
def csv_to_numpy ( string_like , dtype = None ) : # type: (str) -> np.array stream = StringIO ( string_like ) return np . genfromtxt ( stream , dtype = dtype , delimiter = ',' )	1	python read csv data to numpy array	Convert a CSV object to a numpy array .	cosqa-train-18901	def csv_to_numpy(string_like, dtype=None): # type: (str) -> np.array """Convert a CSV object to a numpy array. Args: string_like (str): CSV string. dtype (dtype, optional): Data type of the resulting array. If None, the dtypes will be determined by the contents of each column, individually. This argument can only be used to 'upcast' the array. For downcasting, use the .astype(t) method. Returns: (np.array): numpy array """ stream = StringIO(string_like) return np.genfromtxt(stream, dtype=dtype, delimiter=',')
def has_key ( cls , * args ) : key = args if len ( args ) > 1 else args [ 0 ] return key in cls . _instances	0	python check existance of key	Check whether flyweight object with specified key has already been created .	cosqa-train-18902	def has_key(cls, *args): """ Check whether flyweight object with specified key has already been created. Returns: bool: True if already created, False if not """ key = args if len(args) > 1 else args[0] return key in cls._instances
def _isint ( string ) : return type ( string ) is int or ( isinstance ( string , _binary_type ) or isinstance ( string , _text_type ) ) and _isconvertible ( int , string )	1	python test if string an int	>>> _isint ( 123 ) True >>> _isint ( 123 . 45 ) False	cosqa-train-18903	def _isint(string): """ >>> _isint("123") True >>> _isint("123.45") False """ return type(string) is int or \ (isinstance(string, _binary_type) or isinstance(string, _text_type)) and \ _isconvertible(int, string)
def build ( ctx ) : return_code = run_sphinx ( ctx . obj [ 'root_dir' ] ) if return_code > 0 : sys . exit ( return_code )	1	sphinx how to show python code	Build documentation as HTML .	cosqa-train-18904	def build(ctx): """Build documentation as HTML. The build HTML site is located in the ``doc/_build/html`` directory of the package. """ return_code = run_sphinx(ctx.obj['root_dir']) if return_code > 0: sys.exit(return_code)
def pack_bits ( longbits ) : byte = longbits & ( 0x0101010101010101 ) byte = ( byte \| ( byte >> 7 ) ) & ( 0x0003000300030003 ) byte = ( byte \| ( byte >> 14 ) ) & ( 0x0000000f0000000f ) byte = ( byte \| ( byte >> 28 ) ) & ( 0x00000000000000ff ) return byte	0	bits of a value python	Crunch a 64 - bit int ( 8 bool bytes ) into a bitfield .	cosqa-train-18905	def pack_bits( longbits ): """Crunch a 64-bit int (8 bool bytes) into a bitfield.""" byte = longbits & (0x0101010101010101) byte = (byte \| (byte>>7)) & (0x0003000300030003) byte = (byte \| (byte>>14)) & (0x0000000f0000000f) byte = (byte \| (byte>>28)) & (0x00000000000000ff) return byte
def rate_limited ( max_per_hour : int , * args : Any ) -> Callable [ ... , Any ] : return util . rate_limited ( max_per_hour , * args )	0	how to limit the function's executing time python	Rate limit a function .	cosqa-train-18906	def rate_limited(max_per_hour: int, args: Any) -> Callable[..., Any]: """Rate limit a function.""" return util.rate_limited(max_per_hour, args)
def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )	1	how to make sure python stay in memory limit	Check if the memory is too full for further caching .	cosqa-train-18907	def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)
def _run_sync ( self , method : Callable , * args , * * kwargs ) -> Any : if self . loop . is_running ( ) : raise RuntimeError ( "Event loop is already running." ) if not self . is_connected : self . loop . run_until_complete ( self . connect ( ) ) task = asyncio . Task ( method ( * args , * * kwargs ) , loop = self . loop ) result = self . loop . run_until_complete ( task ) self . loop . run_until_complete ( self . quit ( ) ) return result	1	is asyncio thread safe python	Utility method to run commands synchronously for testing .	cosqa-train-18908	def _run_sync(self, method: Callable, args, kwargs) -> Any: """ Utility method to run commands synchronously for testing. """ if self.loop.is_running(): raise RuntimeError("Event loop is already running.") if not self.is_connected: self.loop.run_until_complete(self.connect()) task = asyncio.Task(method(args, **kwargs), loop=self.loop) result = self.loop.run_until_complete(task) self.loop.run_until_complete(self.quit()) return result
def find_duplicates ( l : list ) -> set : return set ( [ x for x in l if l . count ( x ) > 1 ] )	0	finding duplicate words in a list python	Return the duplicates in a list .	cosqa-train-18909	def find_duplicates(l: list) -> set: """ Return the duplicates in a list. The function relies on https://stackoverflow.com/questions/9835762/find-and-list-duplicates-in-a-list . Parameters ---------- l : list Name Returns ------- set Duplicated values >>> find_duplicates([1,2,3]) set() >>> find_duplicates([1,2,1]) {1} """ return set([x for x in l if l.count(x) > 1])
def _parse_tuple_string ( argument ) : if isinstance ( argument , str ) : return tuple ( int ( p . strip ( ) ) for p in argument . split ( ',' ) ) return argument	1	how to delete quotes in python so taht the string will turn into a tuple	Return a tuple from parsing a b c d - > ( a b c d )	cosqa-train-18910	def _parse_tuple_string(argument): """ Return a tuple from parsing 'a,b,c,d' -> (a,b,c,d) """ if isinstance(argument, str): return tuple(int(p.strip()) for p in argument.split(',')) return argument
def __getattr__ ( self , item : str ) -> Callable : return functools . partial ( self . call_action , item )	1	python how to call methods dynamically	Get a callable that sends the actual API request internally .	cosqa-train-18911	def __getattr__(self, item: str) -> Callable: """Get a callable that sends the actual API request internally.""" return functools.partial(self.call_action, item)
def fetchallfirstvalues ( self , sql : str , * args ) -> List [ Any ] : rows = self . fetchall ( sql , * args ) return [ row [ 0 ] for row in rows ]	1	python select first columns	Executes SQL ; returns list of first values of each row .	cosqa-train-18912	def fetchallfirstvalues(self, sql: str, args) -> List[Any]: """Executes SQL; returns list of first values of each row.""" rows = self.fetchall(sql, args) return [row[0] for row in rows]
def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )	0	python process memory leak	Check if the memory is too full for further caching .	cosqa-train-18913	def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)
def get_from_gnucash26_date ( date_str : str ) -> date : date_format = "%Y%m%d" result = datetime . strptime ( date_str , date_format ) . date ( ) return result	0	how to format a string into a date with python	Creates a datetime from GnuCash 2 . 6 date string	cosqa-train-18914	def get_from_gnucash26_date(date_str: str) -> date: """ Creates a datetime from GnuCash 2.6 date string """ date_format = "%Y%m%d" result = datetime.strptime(date_str, date_format).date() return result
def remove_empty_text ( utterances : List [ Utterance ] ) -> List [ Utterance ] : return [ utter for utter in utterances if utter . text . strip ( ) != "" ]	0	python strip a list of string	Remove empty utterances from a list of utterances Args : utterances : The list of utterance we are processing	cosqa-train-18915	def remove_empty_text(utterances: List[Utterance]) -> List[Utterance]: """Remove empty utterances from a list of utterances Args: utterances: The list of utterance we are processing """ return [utter for utter in utterances if utter.text.strip() != ""]
def last_location_of_minimum ( x ) : x = np . asarray ( x ) return 1.0 - np . argmin ( x [ : : - 1 ] ) / len ( x ) if len ( x ) > 0 else np . NaN	0	python how to get index of smallest value in a series	Returns the last location of the minimal value of x . The position is calculated relatively to the length of x .	cosqa-train-18916	def last_location_of_minimum(x): """ Returns the last location of the minimal value of x. The position is calculated relatively to the length of x. :param x: the time series to calculate the feature of :type x: numpy.ndarray :return: the value of this feature :return type: float """ x = np.asarray(x) return 1.0 - np.argmin(x[::-1]) / len(x) if len(x) > 0 else np.NaN
def maybe_infer_dtype_type ( element ) : tipo = None if hasattr ( element , 'dtype' ) : tipo = element . dtype elif is_list_like ( element ) : element = np . asarray ( element ) tipo = element . dtype return tipo	1	python numpy get dtype of array	Try to infer an object s dtype for use in arithmetic ops	cosqa-train-18917	def maybe_infer_dtype_type(element): """Try to infer an object's dtype, for use in arithmetic ops Uses `element.dtype` if that's available. Objects implementing the iterator protocol are cast to a NumPy array, and from there the array's type is used. Parameters ---------- element : object Possibly has a `.dtype` attribute, and possibly the iterator protocol. Returns ------- tipo : type Examples -------- >>> from collections import namedtuple >>> Foo = namedtuple("Foo", "dtype") >>> maybe_infer_dtype_type(Foo(np.dtype("i8"))) numpy.int64 """ tipo = None if hasattr(element, 'dtype'): tipo = element.dtype elif is_list_like(element): element = np.asarray(element) tipo = element.dtype return tipo
def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )	1	python to limit memory usage	Check if the memory is too full for further caching .	cosqa-train-18918	def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)
def timeit ( func , * args , * * kwargs ) : start_time = time . time ( ) res = func ( * args , * * kwargs ) timing = time . time ( ) - start_time return res , timing	0	python how to time a function run	Time execution of function . Returns ( res seconds ) .	cosqa-train-18919	def timeit(func, args, kwargs): """ Time execution of function. Returns (res, seconds). >>> res, timing = timeit(time.sleep, 1) """ start_time = time.time() res = func(args, **kwargs) timing = time.time() - start_time return res, timing
def method_caller ( method_name , * args , * * kwargs ) : def call_method ( target ) : func = getattr ( target , method_name ) return func ( * args , * * kwargs ) return call_method	0	python keyword for same method name	Return a function that will call a named method on the target object with optional positional and keyword arguments .	cosqa-train-18920	def method_caller(method_name, args, kwargs): """ Return a function that will call a named method on the target object with optional positional and keyword arguments. >>> lower = method_caller('lower') >>> lower('MyString') 'mystring' """ def call_method(target): func = getattr(target, method_name) return func(args, **kwargs) return call_method
def psutil_phymem_usage ( ) : import psutil # This is needed to avoid a deprecation warning error with # newer psutil versions try : percent = psutil . virtual_memory ( ) . percent except : percent = psutil . phymem_usage ( ) . percent return percent	1	python check memory usage in a process	Return physical memory usage ( float ) Requires the cross - platform psutil ( > = v0 . 3 ) library ( https : // github . com / giampaolo / psutil )	cosqa-train-18921	def psutil_phymem_usage(): """ Return physical memory usage (float) Requires the cross-platform psutil (>=v0.3) library (https://github.com/giampaolo/psutil) """ import psutil # This is needed to avoid a deprecation warning error with # newer psutil versions try: percent = psutil.virtual_memory().percent except: percent = psutil.phymem_usage().percent return percent
def zfill ( x , width ) : if not isinstance ( x , basestring ) : x = repr ( x ) return x . zfill ( width )	1	python pad string with zeros to a certain length	zfill ( x width ) - > string	cosqa-train-18922	def zfill(x, width): """zfill(x, width) -> string Pad a numeric string x with zeros on the left, to fill a field of the specified width. The string x is never truncated. """ if not isinstance(x, basestring): x = repr(x) return x.zfill(width)
def get_period_last_3_months ( ) -> str : today = Datum ( ) today . today ( ) # start_date = today - timedelta(weeks=13) start_date = today . clone ( ) start_date . subtract_months ( 3 ) period = get_period ( start_date . date , today . date ) return period	0	python get last weeks time	Returns the last week as a period string	cosqa-train-18923	def get_period_last_3_months() -> str: """ Returns the last week as a period string """ today = Datum() today.today() # start_date = today - timedelta(weeks=13) start_date = today.clone() start_date.subtract_months(3) period = get_period(start_date.date, today.date) return period
def block_diag ( * blocks : np . ndarray ) -> np . ndarray : for b in blocks : if b . shape [ 0 ] != b . shape [ 1 ] : raise ValueError ( 'Blocks must be square.' ) if not blocks : return np . zeros ( ( 0 , 0 ) , dtype = np . complex128 ) n = sum ( b . shape [ 0 ] for b in blocks ) dtype = functools . reduce ( _merge_dtypes , ( b . dtype for b in blocks ) ) result = np . zeros ( shape = ( n , n ) , dtype = dtype ) i = 0 for b in blocks : j = i + b . shape [ 0 ] result [ i : j , i : j ] = b i = j return result	1	python create diagnol block matrix	Concatenates blocks into a block diagonal matrix .	cosqa-train-18924	def block_diag(blocks: np.ndarray) -> np.ndarray: """Concatenates blocks into a block diagonal matrix. Args: blocks: Square matrices to place along the diagonal of the result. Returns: A block diagonal matrix with the given blocks along its diagonal. Raises: ValueError: A block isn't square. """ for b in blocks: if b.shape[0] != b.shape[1]: raise ValueError('Blocks must be square.') if not blocks: return np.zeros((0, 0), dtype=np.complex128) n = sum(b.shape[0] for b in blocks) dtype = functools.reduce(_merge_dtypes, (b.dtype for b in blocks)) result = np.zeros(shape=(n, n), dtype=dtype) i = 0 for b in blocks: j = i + b.shape[0] result[i:j, i:j] = b i = j return result
def get_column_names ( engine : Engine , tablename : str ) -> List [ str ] : return [ info . name for info in gen_columns_info ( engine , tablename ) ]	1	python list out all column names	Get all the database column names for the specified table .	cosqa-train-18925	def get_column_names(engine: Engine, tablename: str) -> List[str]: """ Get all the database column names for the specified table. """ return [info.name for info in gen_columns_info(engine, tablename)]
def from_file ( file_path ) -> dict : with io . open ( file_path , 'r' , encoding = 'utf-8' ) as json_stream : return Json . parse ( json_stream , True )	1	python json file into dict	Load JSON file	cosqa-train-18926	def from_file(file_path) -> dict: """ Load JSON file """ with io.open(file_path, 'r', encoding='utf-8') as json_stream: return Json.parse(json_stream, True)
def is_finite ( value : Any ) -> bool : return isinstance ( value , int ) or ( isinstance ( value , float ) and isfinite ( value ) )	0	check if float has no decimal python	Return true if a value is a finite number .	cosqa-train-18927	def is_finite(value: Any) -> bool: """Return true if a value is a finite number.""" return isinstance(value, int) or (isinstance(value, float) and isfinite(value))
def clean_map ( obj : Mapping [ Any , Any ] ) -> Mapping [ Any , Any ] : return { k : v for k , v in obj . items ( ) if v is not None }	0	python delete false keys from dict	Return a new copied dictionary without the keys with None values from the given Mapping object .	cosqa-train-18928	def clean_map(obj: Mapping[Any, Any]) -> Mapping[Any, Any]: """ Return a new copied dictionary without the keys with ``None`` values from the given Mapping object. """ return {k: v for k, v in obj.items() if v is not None}
def dictlist_replace ( dict_list : Iterable [ Dict ] , key : str , value : Any ) -> None : for d in dict_list : d [ key ] = value	1	python change dictioinary values in place	Process an iterable of dictionaries . For each dictionary d change ( in place ) d [ key ] to value .	cosqa-train-18929	def dictlist_replace(dict_list: Iterable[Dict], key: str, value: Any) -> None: """ Process an iterable of dictionaries. For each dictionary ``d``, change (in place) ``d[key]`` to ``value``. """ for d in dict_list: d[key] = value
def average_arrays ( arrays : List [ mx . nd . NDArray ] ) -> mx . nd . NDArray : if not arrays : raise ValueError ( "arrays is empty." ) if len ( arrays ) == 1 : return arrays [ 0 ] check_condition ( all ( arrays [ 0 ] . shape == a . shape for a in arrays ) , "nd array shapes do not match" ) return mx . nd . add_n ( * arrays ) / len ( arrays )	0	average of 2d array python	Take a list of arrays of the same shape and take the element wise average .	cosqa-train-18930	def average_arrays(arrays: List[mx.nd.NDArray]) -> mx.nd.NDArray: """ Take a list of arrays of the same shape and take the element wise average. :param arrays: A list of NDArrays with the same shape that will be averaged. :return: The average of the NDArrays in the same context as arrays[0]. """ if not arrays: raise ValueError("arrays is empty.") if len(arrays) == 1: return arrays[0] check_condition(all(arrays[0].shape == a.shape for a in arrays), "nd array shapes do not match") return mx.nd.add_n(*arrays) / len(arrays)
def read_text_from_file ( path : str ) -> str : with open ( path ) as text_file : content = text_file . read ( ) return content	1	how to read contents in a text file python	Reads text file contents	cosqa-train-18931	def read_text_from_file(path: str) -> str: """ Reads text file contents """ with open(path) as text_file: content = text_file.read() return content
def is_not_null ( df : DataFrame , col_name : str ) -> bool : if ( isinstance ( df , pd . DataFrame ) and col_name in df . columns and df [ col_name ] . notnull ( ) . any ( ) ) : return True else : return False	0	check whether a column has null values or not in python	Return True if the given DataFrame has a column of the given name ( string ) and there exists at least one non - NaN value in that column ; return False otherwise .	cosqa-train-18932	def is_not_null(df: DataFrame, col_name: str) -> bool: """ Return ``True`` if the given DataFrame has a column of the given name (string), and there exists at least one non-NaN value in that column; return ``False`` otherwise. """ if ( isinstance(df, pd.DataFrame) and col_name in df.columns and df[col_name].notnull().any() ): return True else: return False
def get_domain ( url ) : parse_result = urlparse ( url ) domain = "{schema}://{netloc}" . format ( schema = parse_result . scheme , netloc = parse_result . netloc ) return domain	1	python urlparse strip to domain	Get domain part of an url .	cosqa-train-18933	def get_domain(url): """ Get domain part of an url. For example: https://www.python.org/doc/ -> https://www.python.org """ parse_result = urlparse(url) domain = "{schema}://{netloc}".format( schema=parse_result.scheme, netloc=parse_result.netloc) return domain
def write_text ( filename : str , text : str ) -> None : with open ( filename , 'w' ) as f : # type: TextIO print ( text , file = f )	0	how to write text in a file through python	Writes text to a file .	cosqa-train-18934	def write_text(filename: str, text: str) -> None: """ Writes text to a file. """ with open(filename, 'w') as f: # type: TextIO print(text, file=f)
def isarray ( array , test , dim = 2 ) : if dim > 1 : return all ( isarray ( array [ i ] , test , dim - 1 ) for i in range ( len ( array ) ) ) return all ( test ( i ) for i in array )	1	how to logically and an array in python	Returns True if test is True for all array elements . Otherwise returns False .	cosqa-train-18935	def isarray(array, test, dim=2): """Returns True if test is True for all array elements. Otherwise, returns False. """ if dim > 1: return all(isarray(array[i], test, dim - 1) for i in range(len(array))) return all(test(i) for i in array)
def after_third_friday ( day = None ) : day = day if day is not None else datetime . datetime . now ( ) now = day . replace ( day = 1 , hour = 16 , minute = 0 , second = 0 , microsecond = 0 ) now += relativedelta . relativedelta ( weeks = 2 , weekday = relativedelta . FR ) return day > now	0	python identify the third friday of a month	check if day is after month s 3rd friday	cosqa-train-18936	def after_third_friday(day=None): """ check if day is after month's 3rd friday """ day = day if day is not None else datetime.datetime.now() now = day.replace(day=1, hour=16, minute=0, second=0, microsecond=0) now += relativedelta.relativedelta(weeks=2, weekday=relativedelta.FR) return day > now
def stretch ( iterable , n = 2 ) : times = range ( n ) for item in iterable : for i in times : yield item	0	iterate for loop a fixed number of times python	r Repeat each item in iterable n times .	cosqa-train-18937	def stretch(iterable, n=2): r"""Repeat each item in `iterable` `n` times. Example: >>> list(stretch(range(3), 2)) [0, 0, 1, 1, 2, 2] """ times = range(n) for item in iterable: for i in times: yield item
def debugTreePrint ( node , pfx = "->" ) : print pfx , node . item for c in node . children : debugTreePrint ( c , " " + pfx )	0	python code to print tree in reverse	Purely a debugging aid : Ascii - art picture of a tree descended from node	cosqa-train-18938	def debugTreePrint(node,pfx="->"): """Purely a debugging aid: Ascii-art picture of a tree descended from node""" print pfx,node.item for c in node.children: debugTreePrint(c," "+pfx)
def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )	1	how to limit memory usage in python programes	Check if the memory is too full for further caching .	cosqa-train-18939	def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)
def get_account_id_by_fullname ( self , fullname : str ) -> str : account = self . get_by_fullname ( fullname ) return account . guid	0	get name by user id python	Locates the account by fullname	cosqa-train-18940	def get_account_id_by_fullname(self, fullname: str) -> str: """ Locates the account by fullname """ account = self.get_by_fullname(fullname) return account.guid
def get_timezone ( ) -> Tuple [ datetime . tzinfo , str ] : dt = get_datetime_now ( ) . astimezone ( ) tzstr = dt . strftime ( "%z" ) tzstr = tzstr [ : - 2 ] + ":" + tzstr [ - 2 : ] return dt . tzinfo , tzstr	1	python get specific timezone name	Discover the current time zone and it s standard string representation ( for source { d } ) .	cosqa-train-18941	def get_timezone() -> Tuple[datetime.tzinfo, str]: """Discover the current time zone and it's standard string representation (for source{d}).""" dt = get_datetime_now().astimezone() tzstr = dt.strftime("%z") tzstr = tzstr[:-2] + ":" + tzstr[-2:] return dt.tzinfo, tzstr
def dtypes ( self ) : return [ ( str ( f . name ) , f . dataType . simpleString ( ) ) for f in self . schema . fields ]	1	data types of columns in python	Returns all column names and their data types as a list .	cosqa-train-18942	def dtypes(self): """Returns all column names and their data types as a list. >>> df.dtypes [('age', 'int'), ('name', 'string')] """ return [(str(f.name), f.dataType.simpleString()) for f in self.schema.fields]
def _reshuffle ( mat , shape ) : return np . reshape ( np . transpose ( np . reshape ( mat , shape ) , ( 3 , 1 , 2 , 0 ) ) , ( shape [ 3 ] * shape [ 1 ] , shape [ 0 ] * shape [ 2 ] ) )	0	reshape shuffle matrix python	Reshuffle the indicies of a bipartite matrix A [ ij kl ] - > A [ lj ki ] .	cosqa-train-18943	def _reshuffle(mat, shape): """Reshuffle the indicies of a bipartite matrix A[ij,kl] -> A[lj,ki].""" return np.reshape( np.transpose(np.reshape(mat, shape), (3, 1, 2, 0)), (shape[3] * shape[1], shape[0] * shape[2]))
def get_column_names ( engine : Engine , tablename : str ) -> List [ str ] : return [ info . name for info in gen_columns_info ( engine , tablename ) ]	0	to get all the column names in python	Get all the database column names for the specified table .	cosqa-train-18944	def get_column_names(engine: Engine, tablename: str) -> List[str]: """ Get all the database column names for the specified table. """ return [info.name for info in gen_columns_info(engine, tablename)]
def butlast ( iterable ) : iterable = iter ( iterable ) try : first = next ( iterable ) except StopIteration : return for second in iterable : yield first first = second	0	python select last items in list	Yield all items from iterable except the last one .	cosqa-train-18945	def butlast(iterable): """Yield all items from ``iterable`` except the last one. >>> list(butlast(['spam', 'eggs', 'ham'])) ['spam', 'eggs'] >>> list(butlast(['spam'])) [] >>> list(butlast([])) [] """ iterable = iter(iterable) try: first = next(iterable) except StopIteration: return for second in iterable: yield first first = second
def read_text_from_file ( path : str ) -> str : with open ( path ) as text_file : content = text_file . read ( ) return content	1	python display contents of a text file	Reads text file contents	cosqa-train-18946	def read_text_from_file(path: str) -> str: """ Reads text file contents """ with open(path) as text_file: content = text_file.read() return content
def isFull ( self ) : return ( ( self . _pageSize > 0 and self . _numElements >= self . _pageSize ) or ( self . _bufferSize >= self . _maxBufferSize ) )	0	python test if pageobject is empty	Returns True if the response buffer is full and False otherwise . The buffer is full if either ( 1 ) the number of items in the value list is > = pageSize or ( 2 ) the total length of the serialised elements in the page is > = maxBufferSize .	cosqa-train-18947	def isFull(self): """ Returns True if the response buffer is full, and False otherwise. The buffer is full if either (1) the number of items in the value list is >= pageSize or (2) the total length of the serialised elements in the page is >= maxBufferSize. If page_size or max_response_length were not set in the request then they're not checked. """ return ( (self._pageSize > 0 and self._numElements >= self._pageSize) or (self._bufferSize >= self._maxBufferSize) )
def after_third_friday ( day = None ) : day = day if day is not None else datetime . datetime . now ( ) now = day . replace ( day = 1 , hour = 16 , minute = 0 , second = 0 , microsecond = 0 ) now += relativedelta . relativedelta ( weeks = 2 , weekday = relativedelta . FR ) return day > now	0	python whether today is 3rd wendesday	check if day is after month s 3rd friday	cosqa-train-18948	def after_third_friday(day=None): """ check if day is after month's 3rd friday """ day = day if day is not None else datetime.datetime.now() now = day.replace(day=1, hour=16, minute=0, second=0, microsecond=0) now += relativedelta.relativedelta(weeks=2, weekday=relativedelta.FR) return day > now
def callable_validator ( v : Any ) -> AnyCallable : if callable ( v ) : return v raise errors . CallableError ( value = v )	0	python test if callable	Perform a simple check if the value is callable .	cosqa-train-18949	def callable_validator(v: Any) -> AnyCallable: """ Perform a simple check if the value is callable. Note: complete matching of argument type hints and return types is not performed """ if callable(v): return v raise errors.CallableError(value=v)
def is_line_in_file ( filename : str , line : str ) -> bool : assert "\n" not in line with open ( filename , "r" ) as file : for fileline in file : if fileline == line : return True return False	1	python check file contains line	Detects whether a line is present within a file .	cosqa-train-18950	def is_line_in_file(filename: str, line: str) -> bool: """ Detects whether a line is present within a file. Args: filename: file to check line: line to search for (as an exact match) """ assert "\n" not in line with open(filename, "r") as file: for fileline in file: if fileline == line: return True return False
def snake_to_camel ( s : str ) -> str : fragments = s . split ( '_' ) return fragments [ 0 ] + '' . join ( x . title ( ) for x in fragments [ 1 : ] )	0	capitalize letter in python string	Convert string from snake case to camel case .	cosqa-train-18951	def snake_to_camel(s: str) -> str: """Convert string from snake case to camel case.""" fragments = s.split('_') return fragments[0] + ''.join(x.title() for x in fragments[1:])
def last_location_of_minimum ( x ) : x = np . asarray ( x ) return 1.0 - np . argmin ( x [ : : - 1 ] ) / len ( x ) if len ( x ) > 0 else np . NaN	1	python minimum in a column	Returns the last location of the minimal value of x . The position is calculated relatively to the length of x .	cosqa-train-18952	def last_location_of_minimum(x): """ Returns the last location of the minimal value of x. The position is calculated relatively to the length of x. :param x: the time series to calculate the feature of :type x: numpy.ndarray :return: the value of this feature :return type: float """ x = np.asarray(x) return 1.0 - np.argmin(x[::-1]) / len(x) if len(x) > 0 else np.NaN
def camel_to_snake_case ( string ) : s = _1 . sub ( r'\1_\2' , string ) return _2 . sub ( r'\1_\2' , s ) . lower ( )	0	python string to lowercast	Converts string presented in camel case to snake case .	cosqa-train-18953	def camel_to_snake_case(string): """Converts 'string' presented in camel case to snake case. e.g.: CamelCase => snake_case """ s = _1.sub(r'\1_\2', string) return _2.sub(r'\1_\2', s).lower()
def _isint ( string ) : return type ( string ) is int or ( isinstance ( string , _binary_type ) or isinstance ( string , _text_type ) ) and _isconvertible ( int , string )	0	python check if is an int	>>> _isint ( 123 ) True >>> _isint ( 123 . 45 ) False	cosqa-train-18954	def _isint(string): """ >>> _isint("123") True >>> _isint("123.45") False """ return type(string) is int or \ (isinstance(string, _binary_type) or isinstance(string, _text_type)) and \ _isconvertible(int, string)
def lower_camel_case_from_underscores ( string ) : components = string . split ( '_' ) string = components [ 0 ] for component in components [ 1 : ] : string += component [ 0 ] . upper ( ) + component [ 1 : ] return string	0	python underscore in for loop	generate a lower - cased camelCase string from an underscore_string . For example : my_variable_name - > myVariableName	cosqa-train-18955	def lower_camel_case_from_underscores(string): """generate a lower-cased camelCase string from an underscore_string. For example: my_variable_name -> myVariableName""" components = string.split('_') string = components[0] for component in components[1:]: string += component[0].upper() + component[1:] return string
def is_sqlatype_integer ( coltype : Union [ TypeEngine , VisitableType ] ) -> bool : coltype = _coltype_to_typeengine ( coltype ) return isinstance ( coltype , sqltypes . Integer )	0	python sqlalchemy column data types	Is the SQLAlchemy column type an integer type?	cosqa-train-18956	def is_sqlatype_integer(coltype: Union[TypeEngine, VisitableType]) -> bool: """ Is the SQLAlchemy column type an integer type? """ coltype = _coltype_to_typeengine(coltype) return isinstance(coltype, sqltypes.Integer)
def _brief_print_list ( lst , limit = 7 ) : lst = list ( lst ) if len ( lst ) > limit : return _brief_print_list ( lst [ : limit // 2 ] , limit ) + ', ..., ' + _brief_print_list ( lst [ - limit // 2 : ] , limit ) return ', ' . join ( [ "'%s'" % str ( i ) for i in lst ] )	1	how to print values in list greater than 5 python	Print at most limit elements of list .	cosqa-train-18957	def _brief_print_list(lst, limit=7): """Print at most `limit` elements of list.""" lst = list(lst) if len(lst) > limit: return _brief_print_list(lst[:limit//2], limit) + ', ..., ' + \ _brief_print_list(lst[-limit//2:], limit) return ', '.join(["'%s'"%str(i) for i in lst])
def has_table ( self , name ) : return len ( self . sql ( "SELECT name FROM sqlite_master WHERE type='table' AND name=?" , parameters = ( name , ) , asrecarray = False , cache = False ) ) > 0	1	ironpython check if data table exists	Return True if the table * name * exists in the database .	cosqa-train-18958	def has_table(self, name): """Return ``True`` if the table name exists in the database.""" return len(self.sql("SELECT name FROM sqlite_master WHERE type='table' AND name=?", parameters=(name,), asrecarray=False, cache=False)) > 0
def proper_round ( n ) : return int ( n ) + ( n / abs ( n ) ) * int ( abs ( n - int ( n ) ) >= 0.5 ) if n != 0 else 0	0	round float up to int python	rounds float to closest int : rtype : int : param n : float	cosqa-train-18959	def proper_round(n): """ rounds float to closest int :rtype: int :param n: float """ return int(n) + (n / abs(n)) * int(abs(n - int(n)) >= 0.5) if n != 0 else 0
def count ( args ) : counts = defaultdict ( int ) for arg in args : for item in arg : counts [ item ] = counts [ item ] + 1 return counts	0	how to count the number of times a value appears in a list in functions python	count occurences in a list of lists >>> count ( [[ a b ] [ a ]] ) defaultdict ( int { a : 2 b : 1 } )	cosqa-train-18960	def count(args): """ count occurences in a list of lists >>> count([['a','b'],['a']]) defaultdict(int, {'a' : 2, 'b' : 1}) """ counts = defaultdict(int) for arg in args: for item in arg: counts[item] = counts[item] + 1 return counts
def long_substr ( data ) : substr = '' if len ( data ) > 1 and len ( data [ 0 ] ) > 0 : for i in range ( len ( data [ 0 ] ) ) : for j in range ( len ( data [ 0 ] ) - i + 1 ) : if j > len ( substr ) and all ( data [ 0 ] [ i : i + j ] in x for x in data ) : substr = data [ 0 ] [ i : i + j ] elif len ( data ) == 1 : substr = data [ 0 ] return substr	0	python longest substring of same char	Return the longest common substring in a list of strings . Credit : http : // stackoverflow . com / questions / 2892931 / longest - common - substring - from - more - than - two - strings - python	cosqa-train-18961	def long_substr(data): """Return the longest common substring in a list of strings. Credit: http://stackoverflow.com/questions/2892931/longest-common-substring-from-more-than-two-strings-python """ substr = '' if len(data) > 1 and len(data[0]) > 0: for i in range(len(data[0])): for j in range(len(data[0])-i+1): if j > len(substr) and all(data[0][i:i+j] in x for x in data): substr = data[0][i:i+j] elif len(data) == 1: substr = data[0] return substr
def suppress_stdout ( ) : save_stdout = sys . stdout sys . stdout = DevNull ( ) yield sys . stdout = save_stdout	1	clear output in python 3	Context manager that suppresses stdout .	cosqa-train-18962	def suppress_stdout(): """ Context manager that suppresses stdout. Examples: >>> with suppress_stdout(): ... print('Test print') >>> print('test') test """ save_stdout = sys.stdout sys.stdout = DevNull() yield sys.stdout = save_stdout
def timeit ( func , log , limit ) : def newfunc ( * args , * * kwargs ) : """Execute function and print execution time.""" t = time . time ( ) res = func ( * args , * * kwargs ) duration = time . time ( ) - t if duration > limit : print ( func . __name__ , "took %0.2f seconds" % duration , file = log ) print ( args , file = log ) print ( kwargs , file = log ) return res return update_func_meta ( newfunc , func )	0	limit execution time of a python function	Print execution time of the function . For quick n dirty profiling .	cosqa-train-18963	def timeit (func, log, limit): """Print execution time of the function. For quick'n'dirty profiling.""" def newfunc (args, kwargs): """Execute function and print execution time.""" t = time.time() res = func(args, **kwargs) duration = time.time() - t if duration > limit: print(func.__name__, "took %0.2f seconds" % duration, file=log) print(args, file=log) print(kwargs, file=log) return res return update_func_meta(newfunc, func)
def cli_run ( ) : parser = argparse . ArgumentParser ( description = 'Stupidly simple code answers from StackOverflow' ) parser . add_argument ( 'query' , help = "What's the problem ?" , type = str , nargs = '+' ) parser . add_argument ( '-t' , '--tags' , help = 'semicolon separated tags -> python;lambda' ) args = parser . parse_args ( ) main ( args )	0	command line python pass argparse to function	docstring for argparse	cosqa-train-18964	def cli_run(): """docstring for argparse""" parser = argparse.ArgumentParser(description='Stupidly simple code answers from StackOverflow') parser.add_argument('query', help="What's the problem ?", type=str, nargs='+') parser.add_argument('-t','--tags', help='semicolon separated tags -> python;lambda') args = parser.parse_args() main(args)
def pack_bits ( longbits ) : byte = longbits & ( 0x0101010101010101 ) byte = ( byte \| ( byte >> 7 ) ) & ( 0x0003000300030003 ) byte = ( byte \| ( byte >> 14 ) ) & ( 0x0000000f0000000f ) byte = ( byte \| ( byte >> 28 ) ) & ( 0x00000000000000ff ) return byte	0	python manipulate bits 32 bit ints	Crunch a 64 - bit int ( 8 bool bytes ) into a bitfield .	cosqa-train-18965	def pack_bits( longbits ): """Crunch a 64-bit int (8 bool bytes) into a bitfield.""" byte = longbits & (0x0101010101010101) byte = (byte \| (byte>>7)) & (0x0003000300030003) byte = (byte \| (byte>>14)) & (0x0000000f0000000f) byte = (byte \| (byte>>28)) & (0x00000000000000ff) return byte
def date_to_datetime ( d ) : if not isinstance ( d , datetime ) : d = datetime . combine ( d , datetime . min . time ( ) ) return d	0	python add min to datetime	>>> date_to_datetime ( date ( 2000 1 2 )) datetime . datetime ( 2000 1 2 0 0 ) >>> date_to_datetime ( datetime ( 2000 1 2 3 4 5 )) datetime . datetime ( 2000 1 2 3 4 5 )	cosqa-train-18966	def date_to_datetime(d): """ >>> date_to_datetime(date(2000, 1, 2)) datetime.datetime(2000, 1, 2, 0, 0) >>> date_to_datetime(datetime(2000, 1, 2, 3, 4, 5)) datetime.datetime(2000, 1, 2, 3, 4, 5) """ if not isinstance(d, datetime): d = datetime.combine(d, datetime.min.time()) return d
def s3_get ( url : str , temp_file : IO ) -> None : s3_resource = boto3 . resource ( "s3" ) bucket_name , s3_path = split_s3_path ( url ) s3_resource . Bucket ( bucket_name ) . download_fileobj ( s3_path , temp_file )	1	how to read file from s3 using python using boto	Pull a file directly from S3 .	cosqa-train-18967	def s3_get(url: str, temp_file: IO) -> None: """Pull a file directly from S3.""" s3_resource = boto3.resource("s3") bucket_name, s3_path = split_s3_path(url) s3_resource.Bucket(bucket_name).download_fileobj(s3_path, temp_file)
def str_to_time ( time_str : str ) -> datetime . datetime : pieces : Any = [ int ( piece ) for piece in time_str . split ( '-' ) ] return datetime . datetime ( * pieces )	1	turn a timestring in to a date time python	Convert human readable string to datetime . datetime .	cosqa-train-18968	def str_to_time(time_str: str) -> datetime.datetime: """ Convert human readable string to datetime.datetime. """ pieces: Any = [int(piece) for piece in time_str.split('-')] return datetime.datetime(*pieces)
def find_duplicates ( l : list ) -> set : return set ( [ x for x in l if l . count ( x ) > 1 ] )	0	function for checking duplicates in lists python	Return the duplicates in a list .	cosqa-train-18969	def find_duplicates(l: list) -> set: """ Return the duplicates in a list. The function relies on https://stackoverflow.com/questions/9835762/find-and-list-duplicates-in-a-list . Parameters ---------- l : list Name Returns ------- set Duplicated values >>> find_duplicates([1,2,3]) set() >>> find_duplicates([1,2,1]) {1} """ return set([x for x in l if l.count(x) > 1])
def encode_list ( key , list_ ) : # type: (str, Iterable) -> Dict[str, str] if not list_ : return { } return { key : " " . join ( str ( i ) for i in list_ ) }	0	python make dict from key list	Converts a list into a space - separated string and puts it in a dictionary	cosqa-train-18970	def encode_list(key, list_): # type: (str, Iterable) -> Dict[str, str] """ Converts a list into a space-separated string and puts it in a dictionary :param key: Dictionary key to store the list :param list_: A list of objects :return: A dictionary key->string or an empty dictionary """ if not list_: return {} return {key: " ".join(str(i) for i in list_)}
def dtypes ( self ) : return [ ( str ( f . name ) , f . dataType . simpleString ( ) ) for f in self . schema . fields ]	1	get data type columns python	Returns all column names and their data types as a list .	cosqa-train-18971	def dtypes(self): """Returns all column names and their data types as a list. >>> df.dtypes [('age', 'int'), ('name', 'string')] """ return [(str(f.name), f.dataType.simpleString()) for f in self.schema.fields]
def strtobytes ( input , encoding ) : py_version = sys . version_info [ 0 ] if py_version >= 3 : return _strtobytes_py3 ( input , encoding ) return _strtobytes_py2 ( input , encoding )	0	python binary without string	Take a str and transform it into a byte array .	cosqa-train-18972	def strtobytes(input, encoding): """Take a str and transform it into a byte array.""" py_version = sys.version_info[0] if py_version >= 3: return _strtobytes_py3(input, encoding) return _strtobytes_py2(input, encoding)
def s3_get ( url : str , temp_file : IO ) -> None : s3_resource = boto3 . resource ( "s3" ) bucket_name , s3_path = split_s3_path ( url ) s3_resource . Bucket ( bucket_name ) . download_fileobj ( s3_path , temp_file )	0	get file from s3 python	Pull a file directly from S3 .	cosqa-train-18973	def s3_get(url: str, temp_file: IO) -> None: """Pull a file directly from S3.""" s3_resource = boto3.resource("s3") bucket_name, s3_path = split_s3_path(url) s3_resource.Bucket(bucket_name).download_fileobj(s3_path, temp_file)
def wipe_table ( self , table : str ) -> int : sql = "DELETE FROM " + self . delimit ( table ) return self . db_exec ( sql )	1	python sql alchemy delete sql table	Delete all records from a table . Use caution!	cosqa-train-18974	def wipe_table(self, table: str) -> int: """Delete all records from a table. Use caution!""" sql = "DELETE FROM " + self.delimit(table) return self.db_exec(sql)
def clean_map ( obj : Mapping [ Any , Any ] ) -> Mapping [ Any , Any ] : return { k : v for k , v in obj . items ( ) if v is not None }	0	remove entries from a python dictionary	Return a new copied dictionary without the keys with None values from the given Mapping object .	cosqa-train-18975	def clean_map(obj: Mapping[Any, Any]) -> Mapping[Any, Any]: """ Return a new copied dictionary without the keys with ``None`` values from the given Mapping object. """ return {k: v for k, v in obj.items() if v is not None}
def zip_with_index ( rdd ) : starts = [ 0 ] if rdd . getNumPartitions ( ) > 1 : nums = rdd . mapPartitions ( lambda it : [ sum ( 1 for _ in it ) ] ) . collect ( ) count = sum ( nums ) for i in range ( len ( nums ) - 1 ) : starts . append ( starts [ - 1 ] + nums [ i ] ) else : count = rdd . count ( ) def func ( k , it ) : for i , v in enumerate ( it , starts [ k ] ) : yield v , i return count , rdd . mapPartitionsWithIndex ( func )	0	how can i get the rdd index python	Alternate version of Spark s zipWithIndex that eagerly returns count .	cosqa-train-18976	def zip_with_index(rdd): """ Alternate version of Spark's zipWithIndex that eagerly returns count. """ starts = [0] if rdd.getNumPartitions() > 1: nums = rdd.mapPartitions(lambda it: [sum(1 for _ in it)]).collect() count = sum(nums) for i in range(len(nums) - 1): starts.append(starts[-1] + nums[i]) else: count = rdd.count() def func(k, it): for i, v in enumerate(it, starts[k]): yield v, i return count, rdd.mapPartitionsWithIndex(func)
def is_prime ( n ) : if n % 2 == 0 and n > 2 : return False return all ( n % i for i in range ( 3 , int ( math . sqrt ( n ) ) + 1 , 2 ) )	0	python check if prime function	Check if n is a prime number	cosqa-train-18977	def is_prime(n): """ Check if n is a prime number """ if n % 2 == 0 and n > 2: return False return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))
def from_file ( file_path ) -> dict : with io . open ( file_path , 'r' , encoding = 'utf-8' ) as json_stream : return Json . parse ( json_stream , True )	1	python reading json files into dictionary	Load JSON file	cosqa-train-18978	def from_file(file_path) -> dict: """ Load JSON file """ with io.open(file_path, 'r', encoding='utf-8') as json_stream: return Json.parse(json_stream, True)
def isfinite ( data : mx . nd . NDArray ) -> mx . nd . NDArray : is_data_not_nan = data == data is_data_not_infinite = data . abs ( ) != np . inf return mx . nd . logical_and ( is_data_not_infinite , is_data_not_nan )	0	how to check whether the set has nan python	Performs an element - wise check to determine if the NDArray contains an infinite element or not . TODO : remove this funciton after upgrade to MXNet 1 . 4 . * in favor of mx . ndarray . contrib . isfinite ()	cosqa-train-18979	def isfinite(data: mx.nd.NDArray) -> mx.nd.NDArray: """Performs an element-wise check to determine if the NDArray contains an infinite element or not. TODO: remove this funciton after upgrade to MXNet 1.4.* in favor of mx.ndarray.contrib.isfinite() """ is_data_not_nan = data == data is_data_not_infinite = data.abs() != np.inf return mx.nd.logical_and(is_data_not_infinite, is_data_not_nan)
def str_to_time ( time_str : str ) -> datetime . datetime : pieces : Any = [ int ( piece ) for piece in time_str . split ( '-' ) ] return datetime . datetime ( * pieces )	0	get date time object python from string	Convert human readable string to datetime . datetime .	cosqa-train-18980	def str_to_time(time_str: str) -> datetime.datetime: """ Convert human readable string to datetime.datetime. """ pieces: Any = [int(piece) for piece in time_str.split('-')] return datetime.datetime(*pieces)
def stretch ( iterable , n = 2 ) : times = range ( n ) for item in iterable : for i in times : yield item	1	python repeat sequence certain amount of times	r Repeat each item in iterable n times .	cosqa-train-18981	def stretch(iterable, n=2): r"""Repeat each item in `iterable` `n` times. Example: >>> list(stretch(range(3), 2)) [0, 0, 1, 1, 2, 2] """ times = range(n) for item in iterable: for i in times: yield item
def position ( self ) -> Position : return Position ( self . _index , self . _lineno , self . _col_offset )	1	reading cursor position in python	The current position of the cursor .	cosqa-train-18982	def position(self) -> Position: """The current position of the cursor.""" return Position(self._index, self._lineno, self._col_offset)
def _str_to_list ( value , separator ) : value_list = [ item . strip ( ) for item in value . split ( separator ) ] value_list_sanitized = builtins . list ( filter ( None , value_list ) ) if len ( value_list_sanitized ) > 0 : return value_list_sanitized else : raise ValueError ( 'Invalid list variable.' )	0	python making a list out of a string	Convert a string to a list with sanitization .	cosqa-train-18983	def _str_to_list(value, separator): """Convert a string to a list with sanitization.""" value_list = [item.strip() for item in value.split(separator)] value_list_sanitized = builtins.list(filter(None, value_list)) if len(value_list_sanitized) > 0: return value_list_sanitized else: raise ValueError('Invalid list variable.')
def get_default_bucket_key ( buckets : List [ Tuple [ int , int ] ] ) -> Tuple [ int , int ] : return max ( buckets )	1	python get key with greatest value	Returns the default bucket from a list of buckets i . e . the largest bucket .	cosqa-train-18984	def get_default_bucket_key(buckets: List[Tuple[int, int]]) -> Tuple[int, int]: """ Returns the default bucket from a list of buckets, i.e. the largest bucket. :param buckets: List of buckets. :return: The largest bucket in the list. """ return max(buckets)
def remove_blank_lines ( string ) : return "\n" . join ( line for line in string . split ( "\n" ) if len ( line . strip ( ) ) )	1	make string empty in python	Removes all blank lines in @string	cosqa-train-18985	def remove_blank_lines(string): """ Removes all blank lines in @string -> #str without blank lines """ return "\n".join(line for line in string.split("\n") if len(line.strip()))
def console_get_background_flag ( con : tcod . console . Console ) -> int : return int ( lib . TCOD_console_get_background_flag ( _console ( con ) ) )	1	python tk get background color	Return this consoles current blend mode .	cosqa-train-18986	def console_get_background_flag(con: tcod.console.Console) -> int: """Return this consoles current blend mode. Args: con (Console): Any Console instance. .. deprecated:: 8.5 Check :any:`Console.default_bg_blend` instead. """ return int(lib.TCOD_console_get_background_flag(_console(con)))
def butlast ( iterable ) : iterable = iter ( iterable ) try : first = next ( iterable ) except StopIteration : return for second in iterable : yield first first = second	1	how to iterate from the last element in a list in python	Yield all items from iterable except the last one .	cosqa-train-18987	def butlast(iterable): """Yield all items from ``iterable`` except the last one. >>> list(butlast(['spam', 'eggs', 'ham'])) ['spam', 'eggs'] >>> list(butlast(['spam'])) [] >>> list(butlast([])) [] """ iterable = iter(iterable) try: first = next(iterable) except StopIteration: return for second in iterable: yield first first = second
def iprotate ( l , steps = 1 ) : if len ( l ) : steps %= len ( l ) if steps : firstPart = l [ : steps ] del l [ : steps ] l . extend ( firstPart ) return l	1	rotating a list in python	r Like rotate but modifies l in - place .	cosqa-train-18988	def iprotate(l, steps=1): r"""Like rotate, but modifies `l` in-place. >>> l = [1,2,3] >>> iprotate(l) is l True >>> l [2, 3, 1] >>> iprotate(iprotate(l, 2), -3) [1, 2, 3] """ if len(l): steps %= len(l) if steps: firstPart = l[:steps] del l[:steps] l.extend(firstPart) return l
def get_valid_filename ( s ) : s = str ( s ) . strip ( ) . replace ( ' ' , '_' ) return re . sub ( r'(?u)[^-\w.]' , '' , s )	0	python sanitize file name	Shamelessly taken from Django . https : // github . com / django / django / blob / master / django / utils / text . py	cosqa-train-18989	def get_valid_filename(s): """ Shamelessly taken from Django. https://github.com/django/django/blob/master/django/utils/text.py Return the given string converted to a string that can be used for a clean filename. Remove leading and trailing spaces; convert other spaces to underscores; and remove anything that is not an alphanumeric, dash, underscore, or dot. >>> get_valid_filename("john's portrait in 2004.jpg") 'johns_portrait_in_2004.jpg' """ s = str(s).strip().replace(' ', '_') return re.sub(r'(?u)[^-\w.]', '', s)
def load_yaml ( file ) : if hasattr ( yaml , "full_load" ) : return yaml . full_load ( file ) else : return yaml . load ( file )	1	handle yaml files in python	If pyyaml > 5 . 1 use full_load to avoid warning	cosqa-train-18990	def load_yaml(file): """If pyyaml > 5.1 use full_load to avoid warning""" if hasattr(yaml, "full_load"): return yaml.full_load(file) else: return yaml.load(file)
def warn_if_nans_exist ( X ) : null_count = count_rows_with_nans ( X ) total = len ( X ) percent = 100 * null_count / total if null_count > 0 : warning_message = 'Warning! Found {} rows of {} ({:0.2f}%) with nan values. Only ' 'complete rows will be plotted.' . format ( null_count , total , percent ) warnings . warn ( warning_message , DataWarning )	0	a function that determines the percentage of missing entries for each column in the dataset python	Warn if nans exist in a numpy array .	cosqa-train-18991	def warn_if_nans_exist(X): """Warn if nans exist in a numpy array.""" null_count = count_rows_with_nans(X) total = len(X) percent = 100 * null_count / total if null_count > 0: warning_message = \ 'Warning! Found {} rows of {} ({:0.2f}%) with nan values. Only ' \ 'complete rows will be plotted.'.format(null_count, total, percent) warnings.warn(warning_message, DataWarning)
def dictlist_wipe_key ( dict_list : Iterable [ Dict ] , key : str ) -> None : for d in dict_list : d . pop ( key , None )	1	python drop a key from dictionary	Process an iterable of dictionaries . For each dictionary d delete d [ key ] if it exists .	cosqa-train-18992	def dictlist_wipe_key(dict_list: Iterable[Dict], key: str) -> None: """ Process an iterable of dictionaries. For each dictionary ``d``, delete ``d[key]`` if it exists. """ for d in dict_list: d.pop(key, None)
def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )	1	how to limit python memory	Check if the memory is too full for further caching .	cosqa-train-18993	def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)
def list_to_str ( list , separator = ',' ) : list = [ str ( x ) for x in list ] return separator . join ( list )	1	changing from list to string in python	>>> list = [ 0 0 7 ] >>> list_to_str ( list ) 0 0 7	cosqa-train-18994	def list_to_str(list, separator=','): """ >>> list = [0, 0, 7] >>> list_to_str(list) '0,0,7' """ list = [str(x) for x in list] return separator.join(list)
def is_prime ( n ) : if n % 2 == 0 and n > 2 : return False return all ( n % i for i in range ( 3 , int ( math . sqrt ( n ) ) + 1 , 2 ) )	1	definition of prime in python	Check if n is a prime number	cosqa-train-18995	def is_prime(n): """ Check if n is a prime number """ if n % 2 == 0 and n > 2: return False return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))
def from_file ( file_path ) -> dict : with io . open ( file_path , 'r' , encoding = 'utf-8' ) as json_stream : return Json . parse ( json_stream , True )	0	python read a json file into dictionary	Load JSON file	cosqa-train-18996	def from_file(file_path) -> dict: """ Load JSON file """ with io.open(file_path, 'r', encoding='utf-8') as json_stream: return Json.parse(json_stream, True)
def uppercase_chars ( string : any ) -> str : return '' . join ( [ c if c . isupper ( ) else '' for c in str ( string ) ] )	1	keep only uppercase words in string python	Return all ( and only ) the uppercase chars in the given string .	cosqa-train-18997	def uppercase_chars(string: any) -> str: """Return all (and only) the uppercase chars in the given string.""" return ''.join([c if c.isupper() else '' for c in str(string)])
def is_unicode ( string ) : str_type = str ( type ( string ) ) if str_type . find ( 'str' ) > 0 or str_type . find ( 'unicode' ) > 0 : return True return False	1	python check is an string	Validates that the object itself is some kinda string	cosqa-train-18998	def is_unicode(string): """Validates that the object itself is some kinda string""" str_type = str(type(string)) if str_type.find('str') > 0 or str_type.find('unicode') > 0: return True return False
def iter_fields ( self , schema : Schema ) -> Iterable [ Tuple [ str , Field ] ] : for name in sorted ( schema . fields . keys ( ) ) : field = schema . fields [ name ] yield field . dump_to or name , field	1	marshmallow python calling schema self for a nested field	Iterate through marshmallow schema fields .	cosqa-train-18999	def iter_fields(self, schema: Schema) -> Iterable[Tuple[str, Field]]: """ Iterate through marshmallow schema fields. Generates: name, field pairs """ for name in sorted(schema.fields.keys()): field = schema.fields[name] yield field.dump_to or name, field

def text_coords ( string , position ) : line_start = string . rfind ( '\n' , 0 , position ) + 1 line_end = string . find ( '\n' , position ) lineno = string . count ( '\n' , 0 , position ) columnno = position - line_start line = string [ line_start : line_end ] return ( lineno , columnno , line )

0

how to index through a string to get certain positions python

r Transform a simple index into a human - readable position in a string .

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def text_coords(string, position): r""" Transform a simple index into a human-readable position in a string. This function accepts a string and an index, and will return a triple of `(lineno, columnno, line)` representing the position through the text. It's useful for displaying a string index in a human-readable way:: >>> s = "abcdef\nghijkl\nmnopqr\nstuvwx\nyz" >>> text_coords(s, 0) (0, 0, 'abcdef') >>> text_coords(s, 4) (0, 4, 'abcdef') >>> text_coords(s, 6) (0, 6, 'abcdef') >>> text_coords(s, 7) (1, 0, 'ghijkl') >>> text_coords(s, 11) (1, 4, 'ghijkl') >>> text_coords(s, 15) (2, 1, 'mnopqr') """ line_start = string.rfind('\n', 0, position) + 1 line_end = string.find('\n', position) lineno = string.count('\n', 0, position) columnno = position - line_start line = string[line_start:line_end] return (lineno, columnno, line)

def csv_to_numpy ( string_like , dtype = None ) : # type: (str) -> np.array stream = StringIO ( string_like ) return np . genfromtxt ( stream , dtype = dtype , delimiter = ',' )

1

python read csv data to numpy array

Convert a CSV object to a numpy array .

cosqa-train-18901

def csv_to_numpy(string_like, dtype=None): # type: (str) -> np.array """Convert a CSV object to a numpy array. Args: string_like (str): CSV string. dtype (dtype, optional): Data type of the resulting array. If None, the dtypes will be determined by the contents of each column, individually. This argument can only be used to 'upcast' the array. For downcasting, use the .astype(t) method. Returns: (np.array): numpy array """ stream = StringIO(string_like) return np.genfromtxt(stream, dtype=dtype, delimiter=',')

def has_key ( cls , * args ) : key = args if len ( args ) > 1 else args [ 0 ] return key in cls . _instances

0

python check existance of key

Check whether flyweight object with specified key has already been created .

cosqa-train-18902

def has_key(cls, *args): """ Check whether flyweight object with specified key has already been created. Returns: bool: True if already created, False if not """ key = args if len(args) > 1 else args[0] return key in cls._instances

def _isint ( string ) : return type ( string ) is int or ( isinstance ( string , _binary_type ) or isinstance ( string , _text_type ) ) and _isconvertible ( int , string )

1

python test if string an int

>>> _isint ( 123 ) True >>> _isint ( 123 . 45 ) False

cosqa-train-18903

def _isint(string): """ >>> _isint("123") True >>> _isint("123.45") False """ return type(string) is int or \ (isinstance(string, _binary_type) or isinstance(string, _text_type)) and \ _isconvertible(int, string)

def build ( ctx ) : return_code = run_sphinx ( ctx . obj [ 'root_dir' ] ) if return_code > 0 : sys . exit ( return_code )

1

sphinx how to show python code

Build documentation as HTML .

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def build(ctx): """Build documentation as HTML. The build HTML site is located in the ``doc/_build/html`` directory of the package. """ return_code = run_sphinx(ctx.obj['root_dir']) if return_code > 0: sys.exit(return_code)

def pack_bits ( longbits ) : byte = longbits & ( 0x0101010101010101 ) byte = ( byte | ( byte >> 7 ) ) & ( 0x0003000300030003 ) byte = ( byte | ( byte >> 14 ) ) & ( 0x0000000f0000000f ) byte = ( byte | ( byte >> 28 ) ) & ( 0x00000000000000ff ) return byte

0

bits of a value python

Crunch a 64 - bit int ( 8 bool bytes ) into a bitfield .

cosqa-train-18905

def pack_bits( longbits ): """Crunch a 64-bit int (8 bool bytes) into a bitfield.""" byte = longbits & (0x0101010101010101) byte = (byte | (byte>>7)) & (0x0003000300030003) byte = (byte | (byte>>14)) & (0x0000000f0000000f) byte = (byte | (byte>>28)) & (0x00000000000000ff) return byte

def rate_limited ( max_per_hour : int , * args : Any ) -> Callable [ ... , Any ] : return util . rate_limited ( max_per_hour , * args )

0

how to limit the function's executing time python

Rate limit a function .

cosqa-train-18906

def rate_limited(max_per_hour: int, *args: Any) -> Callable[..., Any]: """Rate limit a function.""" return util.rate_limited(max_per_hour, *args)

def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )

1

how to make sure python stay in memory limit

Check if the memory is too full for further caching .

cosqa-train-18907

def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)

def _run_sync ( self , method : Callable , * args , * * kwargs ) -> Any : if self . loop . is_running ( ) : raise RuntimeError ( "Event loop is already running." ) if not self . is_connected : self . loop . run_until_complete ( self . connect ( ) ) task = asyncio . Task ( method ( * args , * * kwargs ) , loop = self . loop ) result = self . loop . run_until_complete ( task ) self . loop . run_until_complete ( self . quit ( ) ) return result

1

is asyncio thread safe python

Utility method to run commands synchronously for testing .

cosqa-train-18908

def _run_sync(self, method: Callable, *args, **kwargs) -> Any: """ Utility method to run commands synchronously for testing. """ if self.loop.is_running(): raise RuntimeError("Event loop is already running.") if not self.is_connected: self.loop.run_until_complete(self.connect()) task = asyncio.Task(method(*args, **kwargs), loop=self.loop) result = self.loop.run_until_complete(task) self.loop.run_until_complete(self.quit()) return result

def find_duplicates ( l : list ) -> set : return set ( [ x for x in l if l . count ( x ) > 1 ] )

0

finding duplicate words in a list python

Return the duplicates in a list .

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def find_duplicates(l: list) -> set: """ Return the duplicates in a list. The function relies on https://stackoverflow.com/questions/9835762/find-and-list-duplicates-in-a-list . Parameters ---------- l : list Name Returns ------- set Duplicated values >>> find_duplicates([1,2,3]) set() >>> find_duplicates([1,2,1]) {1} """ return set([x for x in l if l.count(x) > 1])

def _parse_tuple_string ( argument ) : if isinstance ( argument , str ) : return tuple ( int ( p . strip ( ) ) for p in argument . split ( ',' ) ) return argument

1

how to delete quotes in python so taht the string will turn into a tuple

Return a tuple from parsing a b c d - > ( a b c d )

cosqa-train-18910

def _parse_tuple_string(argument): """ Return a tuple from parsing 'a,b,c,d' -> (a,b,c,d) """ if isinstance(argument, str): return tuple(int(p.strip()) for p in argument.split(',')) return argument

def __getattr__ ( self , item : str ) -> Callable : return functools . partial ( self . call_action , item )

1

python how to call methods dynamically

Get a callable that sends the actual API request internally .

cosqa-train-18911

def __getattr__(self, item: str) -> Callable: """Get a callable that sends the actual API request internally.""" return functools.partial(self.call_action, item)

def fetchallfirstvalues ( self , sql : str , * args ) -> List [ Any ] : rows = self . fetchall ( sql , * args ) return [ row [ 0 ] for row in rows ]

1

python select first columns

Executes SQL ; returns list of first values of each row .

cosqa-train-18912

def fetchallfirstvalues(self, sql: str, *args) -> List[Any]: """Executes SQL; returns list of first values of each row.""" rows = self.fetchall(sql, *args) return [row[0] for row in rows]

def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )

0

python process memory leak

Check if the memory is too full for further caching .

cosqa-train-18913

def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)

def get_from_gnucash26_date ( date_str : str ) -> date : date_format = "%Y%m%d" result = datetime . strptime ( date_str , date_format ) . date ( ) return result

0

how to format a string into a date with python

Creates a datetime from GnuCash 2 . 6 date string

cosqa-train-18914

def get_from_gnucash26_date(date_str: str) -> date: """ Creates a datetime from GnuCash 2.6 date string """ date_format = "%Y%m%d" result = datetime.strptime(date_str, date_format).date() return result

def remove_empty_text ( utterances : List [ Utterance ] ) -> List [ Utterance ] : return [ utter for utter in utterances if utter . text . strip ( ) != "" ]

0

python strip a list of string

Remove empty utterances from a list of utterances Args : utterances : The list of utterance we are processing

cosqa-train-18915

def remove_empty_text(utterances: List[Utterance]) -> List[Utterance]: """Remove empty utterances from a list of utterances Args: utterances: The list of utterance we are processing """ return [utter for utter in utterances if utter.text.strip() != ""]

def last_location_of_minimum ( x ) : x = np . asarray ( x ) return 1.0 - np . argmin ( x [ : : - 1 ] ) / len ( x ) if len ( x ) > 0 else np . NaN

0

python how to get index of smallest value in a series

Returns the last location of the minimal value of x . The position is calculated relatively to the length of x .

cosqa-train-18916

def last_location_of_minimum(x): """ Returns the last location of the minimal value of x. The position is calculated relatively to the length of x. :param x: the time series to calculate the feature of :type x: numpy.ndarray :return: the value of this feature :return type: float """ x = np.asarray(x) return 1.0 - np.argmin(x[::-1]) / len(x) if len(x) > 0 else np.NaN

def maybe_infer_dtype_type ( element ) : tipo = None if hasattr ( element , 'dtype' ) : tipo = element . dtype elif is_list_like ( element ) : element = np . asarray ( element ) tipo = element . dtype return tipo

1

python numpy get dtype of array

Try to infer an object s dtype for use in arithmetic ops

cosqa-train-18917

def maybe_infer_dtype_type(element): """Try to infer an object's dtype, for use in arithmetic ops Uses `element.dtype` if that's available. Objects implementing the iterator protocol are cast to a NumPy array, and from there the array's type is used. Parameters ---------- element : object Possibly has a `.dtype` attribute, and possibly the iterator protocol. Returns ------- tipo : type Examples -------- >>> from collections import namedtuple >>> Foo = namedtuple("Foo", "dtype") >>> maybe_infer_dtype_type(Foo(np.dtype("i8"))) numpy.int64 """ tipo = None if hasattr(element, 'dtype'): tipo = element.dtype elif is_list_like(element): element = np.asarray(element) tipo = element.dtype return tipo

def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )

1

python to limit memory usage

Check if the memory is too full for further caching .

cosqa-train-18918

def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)

def timeit ( func , * args , * * kwargs ) : start_time = time . time ( ) res = func ( * args , * * kwargs ) timing = time . time ( ) - start_time return res , timing

0

python how to time a function run

Time execution of function . Returns ( res seconds ) .

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def timeit(func, *args, **kwargs): """ Time execution of function. Returns (res, seconds). >>> res, timing = timeit(time.sleep, 1) """ start_time = time.time() res = func(*args, **kwargs) timing = time.time() - start_time return res, timing

def method_caller ( method_name , * args , * * kwargs ) : def call_method ( target ) : func = getattr ( target , method_name ) return func ( * args , * * kwargs ) return call_method

0

python keyword for same method name

Return a function that will call a named method on the target object with optional positional and keyword arguments .

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def method_caller(method_name, *args, **kwargs): """ Return a function that will call a named method on the target object with optional positional and keyword arguments. >>> lower = method_caller('lower') >>> lower('MyString') 'mystring' """ def call_method(target): func = getattr(target, method_name) return func(*args, **kwargs) return call_method

def psutil_phymem_usage ( ) : import psutil # This is needed to avoid a deprecation warning error with # newer psutil versions try : percent = psutil . virtual_memory ( ) . percent except : percent = psutil . phymem_usage ( ) . percent return percent

1

python check memory usage in a process

Return physical memory usage ( float ) Requires the cross - platform psutil ( > = v0 . 3 ) library ( https : // github . com / giampaolo / psutil )

cosqa-train-18921

def psutil_phymem_usage(): """ Return physical memory usage (float) Requires the cross-platform psutil (>=v0.3) library (https://github.com/giampaolo/psutil) """ import psutil # This is needed to avoid a deprecation warning error with # newer psutil versions try: percent = psutil.virtual_memory().percent except: percent = psutil.phymem_usage().percent return percent

def zfill ( x , width ) : if not isinstance ( x , basestring ) : x = repr ( x ) return x . zfill ( width )

1

python pad string with zeros to a certain length

zfill ( x width ) - > string

cosqa-train-18922

def zfill(x, width): """zfill(x, width) -> string Pad a numeric string x with zeros on the left, to fill a field of the specified width. The string x is never truncated. """ if not isinstance(x, basestring): x = repr(x) return x.zfill(width)

def get_period_last_3_months ( ) -> str : today = Datum ( ) today . today ( ) # start_date = today - timedelta(weeks=13) start_date = today . clone ( ) start_date . subtract_months ( 3 ) period = get_period ( start_date . date , today . date ) return period

0

python get last weeks time

Returns the last week as a period string

cosqa-train-18923

def get_period_last_3_months() -> str: """ Returns the last week as a period string """ today = Datum() today.today() # start_date = today - timedelta(weeks=13) start_date = today.clone() start_date.subtract_months(3) period = get_period(start_date.date, today.date) return period

def block_diag ( * blocks : np . ndarray ) -> np . ndarray : for b in blocks : if b . shape [ 0 ] != b . shape [ 1 ] : raise ValueError ( 'Blocks must be square.' ) if not blocks : return np . zeros ( ( 0 , 0 ) , dtype = np . complex128 ) n = sum ( b . shape [ 0 ] for b in blocks ) dtype = functools . reduce ( _merge_dtypes , ( b . dtype for b in blocks ) ) result = np . zeros ( shape = ( n , n ) , dtype = dtype ) i = 0 for b in blocks : j = i + b . shape [ 0 ] result [ i : j , i : j ] = b i = j return result

1

python create diagnol block matrix

Concatenates blocks into a block diagonal matrix .

cosqa-train-18924

def block_diag(*blocks: np.ndarray) -> np.ndarray: """Concatenates blocks into a block diagonal matrix. Args: *blocks: Square matrices to place along the diagonal of the result. Returns: A block diagonal matrix with the given blocks along its diagonal. Raises: ValueError: A block isn't square. """ for b in blocks: if b.shape[0] != b.shape[1]: raise ValueError('Blocks must be square.') if not blocks: return np.zeros((0, 0), dtype=np.complex128) n = sum(b.shape[0] for b in blocks) dtype = functools.reduce(_merge_dtypes, (b.dtype for b in blocks)) result = np.zeros(shape=(n, n), dtype=dtype) i = 0 for b in blocks: j = i + b.shape[0] result[i:j, i:j] = b i = j return result

def get_column_names ( engine : Engine , tablename : str ) -> List [ str ] : return [ info . name for info in gen_columns_info ( engine , tablename ) ]

1

python list out all column names

Get all the database column names for the specified table .

cosqa-train-18925

def get_column_names(engine: Engine, tablename: str) -> List[str]: """ Get all the database column names for the specified table. """ return [info.name for info in gen_columns_info(engine, tablename)]

def from_file ( file_path ) -> dict : with io . open ( file_path , 'r' , encoding = 'utf-8' ) as json_stream : return Json . parse ( json_stream , True )

1

python json file into dict

Load JSON file

cosqa-train-18926

def from_file(file_path) -> dict: """ Load JSON file """ with io.open(file_path, 'r', encoding='utf-8') as json_stream: return Json.parse(json_stream, True)

def is_finite ( value : Any ) -> bool : return isinstance ( value , int ) or ( isinstance ( value , float ) and isfinite ( value ) )

0

check if float has no decimal python

Return true if a value is a finite number .

cosqa-train-18927

def is_finite(value: Any) -> bool: """Return true if a value is a finite number.""" return isinstance(value, int) or (isinstance(value, float) and isfinite(value))

def clean_map ( obj : Mapping [ Any , Any ] ) -> Mapping [ Any , Any ] : return { k : v for k , v in obj . items ( ) if v is not None }

0

python delete false keys from dict

Return a new copied dictionary without the keys with None values from the given Mapping object .

cosqa-train-18928

def clean_map(obj: Mapping[Any, Any]) -> Mapping[Any, Any]: """ Return a new copied dictionary without the keys with ``None`` values from the given Mapping object. """ return {k: v for k, v in obj.items() if v is not None}

def dictlist_replace ( dict_list : Iterable [ Dict ] , key : str , value : Any ) -> None : for d in dict_list : d [ key ] = value

1

python change dictioinary values in place

Process an iterable of dictionaries . For each dictionary d change ( in place ) d [ key ] to value .

cosqa-train-18929

def dictlist_replace(dict_list: Iterable[Dict], key: str, value: Any) -> None: """ Process an iterable of dictionaries. For each dictionary ``d``, change (in place) ``d[key]`` to ``value``. """ for d in dict_list: d[key] = value

def average_arrays ( arrays : List [ mx . nd . NDArray ] ) -> mx . nd . NDArray : if not arrays : raise ValueError ( "arrays is empty." ) if len ( arrays ) == 1 : return arrays [ 0 ] check_condition ( all ( arrays [ 0 ] . shape == a . shape for a in arrays ) , "nd array shapes do not match" ) return mx . nd . add_n ( * arrays ) / len ( arrays )

0

average of 2d array python

Take a list of arrays of the same shape and take the element wise average .

cosqa-train-18930

def average_arrays(arrays: List[mx.nd.NDArray]) -> mx.nd.NDArray: """ Take a list of arrays of the same shape and take the element wise average. :param arrays: A list of NDArrays with the same shape that will be averaged. :return: The average of the NDArrays in the same context as arrays[0]. """ if not arrays: raise ValueError("arrays is empty.") if len(arrays) == 1: return arrays[0] check_condition(all(arrays[0].shape == a.shape for a in arrays), "nd array shapes do not match") return mx.nd.add_n(*arrays) / len(arrays)

def read_text_from_file ( path : str ) -> str : with open ( path ) as text_file : content = text_file . read ( ) return content

1

how to read contents in a text file python

Reads text file contents

cosqa-train-18931

def read_text_from_file(path: str) -> str: """ Reads text file contents """ with open(path) as text_file: content = text_file.read() return content

def is_not_null ( df : DataFrame , col_name : str ) -> bool : if ( isinstance ( df , pd . DataFrame ) and col_name in df . columns and df [ col_name ] . notnull ( ) . any ( ) ) : return True else : return False

0

check whether a column has null values or not in python

Return True if the given DataFrame has a column of the given name ( string ) and there exists at least one non - NaN value in that column ; return False otherwise .

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def is_not_null(df: DataFrame, col_name: str) -> bool: """ Return ``True`` if the given DataFrame has a column of the given name (string), and there exists at least one non-NaN value in that column; return ``False`` otherwise. """ if ( isinstance(df, pd.DataFrame) and col_name in df.columns and df[col_name].notnull().any() ): return True else: return False

def get_domain ( url ) : parse_result = urlparse ( url ) domain = "{schema}://{netloc}" . format ( schema = parse_result . scheme , netloc = parse_result . netloc ) return domain

1

python urlparse strip to domain

Get domain part of an url .

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def get_domain(url): """ Get domain part of an url. For example: https://www.python.org/doc/ -> https://www.python.org """ parse_result = urlparse(url) domain = "{schema}://{netloc}".format( schema=parse_result.scheme, netloc=parse_result.netloc) return domain

def write_text ( filename : str , text : str ) -> None : with open ( filename , 'w' ) as f : # type: TextIO print ( text , file = f )

0

how to write text in a file through python

Writes text to a file .

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def write_text(filename: str, text: str) -> None: """ Writes text to a file. """ with open(filename, 'w') as f: # type: TextIO print(text, file=f)

def isarray ( array , test , dim = 2 ) : if dim > 1 : return all ( isarray ( array [ i ] , test , dim - 1 ) for i in range ( len ( array ) ) ) return all ( test ( i ) for i in array )

1

how to logically and an array in python

Returns True if test is True for all array elements . Otherwise returns False .

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def isarray(array, test, dim=2): """Returns True if test is True for all array elements. Otherwise, returns False. """ if dim > 1: return all(isarray(array[i], test, dim - 1) for i in range(len(array))) return all(test(i) for i in array)

def after_third_friday ( day = None ) : day = day if day is not None else datetime . datetime . now ( ) now = day . replace ( day = 1 , hour = 16 , minute = 0 , second = 0 , microsecond = 0 ) now += relativedelta . relativedelta ( weeks = 2 , weekday = relativedelta . FR ) return day > now

0

python identify the third friday of a month

check if day is after month s 3rd friday

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def after_third_friday(day=None): """ check if day is after month's 3rd friday """ day = day if day is not None else datetime.datetime.now() now = day.replace(day=1, hour=16, minute=0, second=0, microsecond=0) now += relativedelta.relativedelta(weeks=2, weekday=relativedelta.FR) return day > now

def stretch ( iterable , n = 2 ) : times = range ( n ) for item in iterable : for i in times : yield item

0

iterate for loop a fixed number of times python

r Repeat each item in iterable n times .

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def stretch(iterable, n=2): r"""Repeat each item in `iterable` `n` times. Example: >>> list(stretch(range(3), 2)) [0, 0, 1, 1, 2, 2] """ times = range(n) for item in iterable: for i in times: yield item

def debugTreePrint ( node , pfx = "->" ) : print pfx , node . item for c in node . children : debugTreePrint ( c , " " + pfx )

0

python code to print tree in reverse

Purely a debugging aid : Ascii - art picture of a tree descended from node

cosqa-train-18938

def debugTreePrint(node,pfx="->"): """Purely a debugging aid: Ascii-art picture of a tree descended from node""" print pfx,node.item for c in node.children: debugTreePrint(c," "+pfx)

def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )

1

how to limit memory usage in python programes

Check if the memory is too full for further caching .

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def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)

def get_account_id_by_fullname ( self , fullname : str ) -> str : account = self . get_by_fullname ( fullname ) return account . guid

0

get name by user id python

Locates the account by fullname

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def get_account_id_by_fullname(self, fullname: str) -> str: """ Locates the account by fullname """ account = self.get_by_fullname(fullname) return account.guid

def get_timezone ( ) -> Tuple [ datetime . tzinfo , str ] : dt = get_datetime_now ( ) . astimezone ( ) tzstr = dt . strftime ( "%z" ) tzstr = tzstr [ : - 2 ] + ":" + tzstr [ - 2 : ] return dt . tzinfo , tzstr

1

python get specific timezone name

Discover the current time zone and it s standard string representation ( for source { d } ) .

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def get_timezone() -> Tuple[datetime.tzinfo, str]: """Discover the current time zone and it's standard string representation (for source{d}).""" dt = get_datetime_now().astimezone() tzstr = dt.strftime("%z") tzstr = tzstr[:-2] + ":" + tzstr[-2:] return dt.tzinfo, tzstr

def dtypes ( self ) : return [ ( str ( f . name ) , f . dataType . simpleString ( ) ) for f in self . schema . fields ]

1

data types of columns in python

Returns all column names and their data types as a list .

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def dtypes(self): """Returns all column names and their data types as a list. >>> df.dtypes [('age', 'int'), ('name', 'string')] """ return [(str(f.name), f.dataType.simpleString()) for f in self.schema.fields]

def _reshuffle ( mat , shape ) : return np . reshape ( np . transpose ( np . reshape ( mat , shape ) , ( 3 , 1 , 2 , 0 ) ) , ( shape [ 3 ] * shape [ 1 ] , shape [ 0 ] * shape [ 2 ] ) )

0

reshape shuffle matrix python

Reshuffle the indicies of a bipartite matrix A [ ij kl ] - > A [ lj ki ] .

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def _reshuffle(mat, shape): """Reshuffle the indicies of a bipartite matrix A[ij,kl] -> A[lj,ki].""" return np.reshape( np.transpose(np.reshape(mat, shape), (3, 1, 2, 0)), (shape[3] * shape[1], shape[0] * shape[2]))

def get_column_names ( engine : Engine , tablename : str ) -> List [ str ] : return [ info . name for info in gen_columns_info ( engine , tablename ) ]

0

to get all the column names in python

Get all the database column names for the specified table .

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def get_column_names(engine: Engine, tablename: str) -> List[str]: """ Get all the database column names for the specified table. """ return [info.name for info in gen_columns_info(engine, tablename)]

def butlast ( iterable ) : iterable = iter ( iterable ) try : first = next ( iterable ) except StopIteration : return for second in iterable : yield first first = second

0

python select last items in list

Yield all items from iterable except the last one .

cosqa-train-18945

def butlast(iterable): """Yield all items from ``iterable`` except the last one. >>> list(butlast(['spam', 'eggs', 'ham'])) ['spam', 'eggs'] >>> list(butlast(['spam'])) [] >>> list(butlast([])) [] """ iterable = iter(iterable) try: first = next(iterable) except StopIteration: return for second in iterable: yield first first = second

def read_text_from_file ( path : str ) -> str : with open ( path ) as text_file : content = text_file . read ( ) return content

1

python display contents of a text file

Reads text file contents

cosqa-train-18946

def read_text_from_file(path: str) -> str: """ Reads text file contents """ with open(path) as text_file: content = text_file.read() return content

def isFull ( self ) : return ( ( self . _pageSize > 0 and self . _numElements >= self . _pageSize ) or ( self . _bufferSize >= self . _maxBufferSize ) )

0

python test if pageobject is empty

Returns True if the response buffer is full and False otherwise . The buffer is full if either ( 1 ) the number of items in the value list is > = pageSize or ( 2 ) the total length of the serialised elements in the page is > = maxBufferSize .

cosqa-train-18947

def isFull(self): """ Returns True if the response buffer is full, and False otherwise. The buffer is full if either (1) the number of items in the value list is >= pageSize or (2) the total length of the serialised elements in the page is >= maxBufferSize. If page_size or max_response_length were not set in the request then they're not checked. """ return ( (self._pageSize > 0 and self._numElements >= self._pageSize) or (self._bufferSize >= self._maxBufferSize) )

def after_third_friday ( day = None ) : day = day if day is not None else datetime . datetime . now ( ) now = day . replace ( day = 1 , hour = 16 , minute = 0 , second = 0 , microsecond = 0 ) now += relativedelta . relativedelta ( weeks = 2 , weekday = relativedelta . FR ) return day > now

0

python whether today is 3rd wendesday

check if day is after month s 3rd friday

cosqa-train-18948

def after_third_friday(day=None): """ check if day is after month's 3rd friday """ day = day if day is not None else datetime.datetime.now() now = day.replace(day=1, hour=16, minute=0, second=0, microsecond=0) now += relativedelta.relativedelta(weeks=2, weekday=relativedelta.FR) return day > now

def callable_validator ( v : Any ) -> AnyCallable : if callable ( v ) : return v raise errors . CallableError ( value = v )

0

python test if callable

Perform a simple check if the value is callable .

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def callable_validator(v: Any) -> AnyCallable: """ Perform a simple check if the value is callable. Note: complete matching of argument type hints and return types is not performed """ if callable(v): return v raise errors.CallableError(value=v)

def is_line_in_file ( filename : str , line : str ) -> bool : assert "\n" not in line with open ( filename , "r" ) as file : for fileline in file : if fileline == line : return True return False

1

python check file contains line

Detects whether a line is present within a file .

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def is_line_in_file(filename: str, line: str) -> bool: """ Detects whether a line is present within a file. Args: filename: file to check line: line to search for (as an exact match) """ assert "\n" not in line with open(filename, "r") as file: for fileline in file: if fileline == line: return True return False

def snake_to_camel ( s : str ) -> str : fragments = s . split ( '_' ) return fragments [ 0 ] + '' . join ( x . title ( ) for x in fragments [ 1 : ] )

0

capitalize letter in python string

Convert string from snake case to camel case .

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def snake_to_camel(s: str) -> str: """Convert string from snake case to camel case.""" fragments = s.split('_') return fragments[0] + ''.join(x.title() for x in fragments[1:])

def last_location_of_minimum ( x ) : x = np . asarray ( x ) return 1.0 - np . argmin ( x [ : : - 1 ] ) / len ( x ) if len ( x ) > 0 else np . NaN

1

python minimum in a column

Returns the last location of the minimal value of x . The position is calculated relatively to the length of x .

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def last_location_of_minimum(x): """ Returns the last location of the minimal value of x. The position is calculated relatively to the length of x. :param x: the time series to calculate the feature of :type x: numpy.ndarray :return: the value of this feature :return type: float """ x = np.asarray(x) return 1.0 - np.argmin(x[::-1]) / len(x) if len(x) > 0 else np.NaN

def camel_to_snake_case ( string ) : s = _1 . sub ( r'\1_\2' , string ) return _2 . sub ( r'\1_\2' , s ) . lower ( )

0

python string to lowercast

Converts string presented in camel case to snake case .

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def camel_to_snake_case(string): """Converts 'string' presented in camel case to snake case. e.g.: CamelCase => snake_case """ s = _1.sub(r'\1_\2', string) return _2.sub(r'\1_\2', s).lower()

def _isint ( string ) : return type ( string ) is int or ( isinstance ( string , _binary_type ) or isinstance ( string , _text_type ) ) and _isconvertible ( int , string )

0

python check if is an int

>>> _isint ( 123 ) True >>> _isint ( 123 . 45 ) False

cosqa-train-18954

def _isint(string): """ >>> _isint("123") True >>> _isint("123.45") False """ return type(string) is int or \ (isinstance(string, _binary_type) or isinstance(string, _text_type)) and \ _isconvertible(int, string)

def lower_camel_case_from_underscores ( string ) : components = string . split ( '_' ) string = components [ 0 ] for component in components [ 1 : ] : string += component [ 0 ] . upper ( ) + component [ 1 : ] return string

0

python underscore in for loop

generate a lower - cased camelCase string from an underscore_string . For example : my_variable_name - > myVariableName

cosqa-train-18955

def lower_camel_case_from_underscores(string): """generate a lower-cased camelCase string from an underscore_string. For example: my_variable_name -> myVariableName""" components = string.split('_') string = components[0] for component in components[1:]: string += component[0].upper() + component[1:] return string

def is_sqlatype_integer ( coltype : Union [ TypeEngine , VisitableType ] ) -> bool : coltype = _coltype_to_typeengine ( coltype ) return isinstance ( coltype , sqltypes . Integer )

0

python sqlalchemy column data types

Is the SQLAlchemy column type an integer type?

cosqa-train-18956

def is_sqlatype_integer(coltype: Union[TypeEngine, VisitableType]) -> bool: """ Is the SQLAlchemy column type an integer type? """ coltype = _coltype_to_typeengine(coltype) return isinstance(coltype, sqltypes.Integer)

def _brief_print_list ( lst , limit = 7 ) : lst = list ( lst ) if len ( lst ) > limit : return _brief_print_list ( lst [ : limit // 2 ] , limit ) + ', ..., ' + _brief_print_list ( lst [ - limit // 2 : ] , limit ) return ', ' . join ( [ "'%s'" % str ( i ) for i in lst ] )

1

how to print values in list greater than 5 python

Print at most limit elements of list .

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def _brief_print_list(lst, limit=7): """Print at most `limit` elements of list.""" lst = list(lst) if len(lst) > limit: return _brief_print_list(lst[:limit//2], limit) + ', ..., ' + \ _brief_print_list(lst[-limit//2:], limit) return ', '.join(["'%s'"%str(i) for i in lst])

def has_table ( self , name ) : return len ( self . sql ( "SELECT name FROM sqlite_master WHERE type='table' AND name=?" , parameters = ( name , ) , asrecarray = False , cache = False ) ) > 0

1

ironpython check if data table exists

Return True if the table * name * exists in the database .

cosqa-train-18958

def has_table(self, name): """Return ``True`` if the table *name* exists in the database.""" return len(self.sql("SELECT name FROM sqlite_master WHERE type='table' AND name=?", parameters=(name,), asrecarray=False, cache=False)) > 0

def proper_round ( n ) : return int ( n ) + ( n / abs ( n ) ) * int ( abs ( n - int ( n ) ) >= 0.5 ) if n != 0 else 0

0

round float up to int python

rounds float to closest int : rtype : int : param n : float

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def proper_round(n): """ rounds float to closest int :rtype: int :param n: float """ return int(n) + (n / abs(n)) * int(abs(n - int(n)) >= 0.5) if n != 0 else 0

def count ( args ) : counts = defaultdict ( int ) for arg in args : for item in arg : counts [ item ] = counts [ item ] + 1 return counts

0

how to count the number of times a value appears in a list in functions python

count occurences in a list of lists >>> count ( [[ a b ] [ a ]] ) defaultdict ( int { a : 2 b : 1 } )

cosqa-train-18960

def count(args): """ count occurences in a list of lists >>> count([['a','b'],['a']]) defaultdict(int, {'a' : 2, 'b' : 1}) """ counts = defaultdict(int) for arg in args: for item in arg: counts[item] = counts[item] + 1 return counts

def long_substr ( data ) : substr = '' if len ( data ) > 1 and len ( data [ 0 ] ) > 0 : for i in range ( len ( data [ 0 ] ) ) : for j in range ( len ( data [ 0 ] ) - i + 1 ) : if j > len ( substr ) and all ( data [ 0 ] [ i : i + j ] in x for x in data ) : substr = data [ 0 ] [ i : i + j ] elif len ( data ) == 1 : substr = data [ 0 ] return substr

0

python longest substring of same char

Return the longest common substring in a list of strings . Credit : http : // stackoverflow . com / questions / 2892931 / longest - common - substring - from - more - than - two - strings - python

cosqa-train-18961

def long_substr(data): """Return the longest common substring in a list of strings. Credit: http://stackoverflow.com/questions/2892931/longest-common-substring-from-more-than-two-strings-python """ substr = '' if len(data) > 1 and len(data[0]) > 0: for i in range(len(data[0])): for j in range(len(data[0])-i+1): if j > len(substr) and all(data[0][i:i+j] in x for x in data): substr = data[0][i:i+j] elif len(data) == 1: substr = data[0] return substr

def suppress_stdout ( ) : save_stdout = sys . stdout sys . stdout = DevNull ( ) yield sys . stdout = save_stdout

1

clear output in python 3

Context manager that suppresses stdout .

cosqa-train-18962

def suppress_stdout(): """ Context manager that suppresses stdout. Examples: >>> with suppress_stdout(): ... print('Test print') >>> print('test') test """ save_stdout = sys.stdout sys.stdout = DevNull() yield sys.stdout = save_stdout

def timeit ( func , log , limit ) : def newfunc ( * args , * * kwargs ) : """Execute function and print execution time.""" t = time . time ( ) res = func ( * args , * * kwargs ) duration = time . time ( ) - t if duration > limit : print ( func . __name__ , "took %0.2f seconds" % duration , file = log ) print ( args , file = log ) print ( kwargs , file = log ) return res return update_func_meta ( newfunc , func )

0

limit execution time of a python function

Print execution time of the function . For quick n dirty profiling .

cosqa-train-18963

def timeit (func, log, limit): """Print execution time of the function. For quick'n'dirty profiling.""" def newfunc (*args, **kwargs): """Execute function and print execution time.""" t = time.time() res = func(*args, **kwargs) duration = time.time() - t if duration > limit: print(func.__name__, "took %0.2f seconds" % duration, file=log) print(args, file=log) print(kwargs, file=log) return res return update_func_meta(newfunc, func)

def cli_run ( ) : parser = argparse . ArgumentParser ( description = 'Stupidly simple code answers from StackOverflow' ) parser . add_argument ( 'query' , help = "What's the problem ?" , type = str , nargs = '+' ) parser . add_argument ( '-t' , '--tags' , help = 'semicolon separated tags -> python;lambda' ) args = parser . parse_args ( ) main ( args )

0

command line python pass argparse to function

docstring for argparse

cosqa-train-18964

def cli_run(): """docstring for argparse""" parser = argparse.ArgumentParser(description='Stupidly simple code answers from StackOverflow') parser.add_argument('query', help="What's the problem ?", type=str, nargs='+') parser.add_argument('-t','--tags', help='semicolon separated tags -> python;lambda') args = parser.parse_args() main(args)

def pack_bits ( longbits ) : byte = longbits & ( 0x0101010101010101 ) byte = ( byte | ( byte >> 7 ) ) & ( 0x0003000300030003 ) byte = ( byte | ( byte >> 14 ) ) & ( 0x0000000f0000000f ) byte = ( byte | ( byte >> 28 ) ) & ( 0x00000000000000ff ) return byte

0

python manipulate bits 32 bit ints

Crunch a 64 - bit int ( 8 bool bytes ) into a bitfield .

cosqa-train-18965

def pack_bits( longbits ): """Crunch a 64-bit int (8 bool bytes) into a bitfield.""" byte = longbits & (0x0101010101010101) byte = (byte | (byte>>7)) & (0x0003000300030003) byte = (byte | (byte>>14)) & (0x0000000f0000000f) byte = (byte | (byte>>28)) & (0x00000000000000ff) return byte

def date_to_datetime ( d ) : if not isinstance ( d , datetime ) : d = datetime . combine ( d , datetime . min . time ( ) ) return d

0

python add min to datetime

>>> date_to_datetime ( date ( 2000 1 2 )) datetime . datetime ( 2000 1 2 0 0 ) >>> date_to_datetime ( datetime ( 2000 1 2 3 4 5 )) datetime . datetime ( 2000 1 2 3 4 5 )

cosqa-train-18966

def date_to_datetime(d): """ >>> date_to_datetime(date(2000, 1, 2)) datetime.datetime(2000, 1, 2, 0, 0) >>> date_to_datetime(datetime(2000, 1, 2, 3, 4, 5)) datetime.datetime(2000, 1, 2, 3, 4, 5) """ if not isinstance(d, datetime): d = datetime.combine(d, datetime.min.time()) return d

def s3_get ( url : str , temp_file : IO ) -> None : s3_resource = boto3 . resource ( "s3" ) bucket_name , s3_path = split_s3_path ( url ) s3_resource . Bucket ( bucket_name ) . download_fileobj ( s3_path , temp_file )

1

how to read file from s3 using python using boto

Pull a file directly from S3 .

cosqa-train-18967

def s3_get(url: str, temp_file: IO) -> None: """Pull a file directly from S3.""" s3_resource = boto3.resource("s3") bucket_name, s3_path = split_s3_path(url) s3_resource.Bucket(bucket_name).download_fileobj(s3_path, temp_file)

def str_to_time ( time_str : str ) -> datetime . datetime : pieces : Any = [ int ( piece ) for piece in time_str . split ( '-' ) ] return datetime . datetime ( * pieces )

1

turn a timestring in to a date time python

Convert human readable string to datetime . datetime .

cosqa-train-18968

def str_to_time(time_str: str) -> datetime.datetime: """ Convert human readable string to datetime.datetime. """ pieces: Any = [int(piece) for piece in time_str.split('-')] return datetime.datetime(*pieces)

def find_duplicates ( l : list ) -> set : return set ( [ x for x in l if l . count ( x ) > 1 ] )

0

function for checking duplicates in lists python

Return the duplicates in a list .

cosqa-train-18969

def find_duplicates(l: list) -> set: """ Return the duplicates in a list. The function relies on https://stackoverflow.com/questions/9835762/find-and-list-duplicates-in-a-list . Parameters ---------- l : list Name Returns ------- set Duplicated values >>> find_duplicates([1,2,3]) set() >>> find_duplicates([1,2,1]) {1} """ return set([x for x in l if l.count(x) > 1])

def encode_list ( key , list_ ) : # type: (str, Iterable) -> Dict[str, str] if not list_ : return { } return { key : " " . join ( str ( i ) for i in list_ ) }

0

python make dict from key list

Converts a list into a space - separated string and puts it in a dictionary

cosqa-train-18970

def encode_list(key, list_): # type: (str, Iterable) -> Dict[str, str] """ Converts a list into a space-separated string and puts it in a dictionary :param key: Dictionary key to store the list :param list_: A list of objects :return: A dictionary key->string or an empty dictionary """ if not list_: return {} return {key: " ".join(str(i) for i in list_)}

def dtypes ( self ) : return [ ( str ( f . name ) , f . dataType . simpleString ( ) ) for f in self . schema . fields ]

1

get data type columns python

Returns all column names and their data types as a list .

cosqa-train-18971

def dtypes(self): """Returns all column names and their data types as a list. >>> df.dtypes [('age', 'int'), ('name', 'string')] """ return [(str(f.name), f.dataType.simpleString()) for f in self.schema.fields]

def strtobytes ( input , encoding ) : py_version = sys . version_info [ 0 ] if py_version >= 3 : return _strtobytes_py3 ( input , encoding ) return _strtobytes_py2 ( input , encoding )

0

python binary without string

Take a str and transform it into a byte array .

cosqa-train-18972

def strtobytes(input, encoding): """Take a str and transform it into a byte array.""" py_version = sys.version_info[0] if py_version >= 3: return _strtobytes_py3(input, encoding) return _strtobytes_py2(input, encoding)

def s3_get ( url : str , temp_file : IO ) -> None : s3_resource = boto3 . resource ( "s3" ) bucket_name , s3_path = split_s3_path ( url ) s3_resource . Bucket ( bucket_name ) . download_fileobj ( s3_path , temp_file )

0

get file from s3 python

Pull a file directly from S3 .

cosqa-train-18973

def s3_get(url: str, temp_file: IO) -> None: """Pull a file directly from S3.""" s3_resource = boto3.resource("s3") bucket_name, s3_path = split_s3_path(url) s3_resource.Bucket(bucket_name).download_fileobj(s3_path, temp_file)

def wipe_table ( self , table : str ) -> int : sql = "DELETE FROM " + self . delimit ( table ) return self . db_exec ( sql )

1

python sql alchemy delete sql table

Delete all records from a table . Use caution!

cosqa-train-18974

def wipe_table(self, table: str) -> int: """Delete all records from a table. Use caution!""" sql = "DELETE FROM " + self.delimit(table) return self.db_exec(sql)

def clean_map ( obj : Mapping [ Any , Any ] ) -> Mapping [ Any , Any ] : return { k : v for k , v in obj . items ( ) if v is not None }

0

remove entries from a python dictionary

Return a new copied dictionary without the keys with None values from the given Mapping object .

cosqa-train-18975

def clean_map(obj: Mapping[Any, Any]) -> Mapping[Any, Any]: """ Return a new copied dictionary without the keys with ``None`` values from the given Mapping object. """ return {k: v for k, v in obj.items() if v is not None}

def zip_with_index ( rdd ) : starts = [ 0 ] if rdd . getNumPartitions ( ) > 1 : nums = rdd . mapPartitions ( lambda it : [ sum ( 1 for _ in it ) ] ) . collect ( ) count = sum ( nums ) for i in range ( len ( nums ) - 1 ) : starts . append ( starts [ - 1 ] + nums [ i ] ) else : count = rdd . count ( ) def func ( k , it ) : for i , v in enumerate ( it , starts [ k ] ) : yield v , i return count , rdd . mapPartitionsWithIndex ( func )

0

how can i get the rdd index python

Alternate version of Spark s zipWithIndex that eagerly returns count .

cosqa-train-18976

def zip_with_index(rdd): """ Alternate version of Spark's zipWithIndex that eagerly returns count. """ starts = [0] if rdd.getNumPartitions() > 1: nums = rdd.mapPartitions(lambda it: [sum(1 for _ in it)]).collect() count = sum(nums) for i in range(len(nums) - 1): starts.append(starts[-1] + nums[i]) else: count = rdd.count() def func(k, it): for i, v in enumerate(it, starts[k]): yield v, i return count, rdd.mapPartitionsWithIndex(func)

def is_prime ( n ) : if n % 2 == 0 and n > 2 : return False return all ( n % i for i in range ( 3 , int ( math . sqrt ( n ) ) + 1 , 2 ) )

0

python check if prime function

Check if n is a prime number

cosqa-train-18977

def is_prime(n): """ Check if n is a prime number """ if n % 2 == 0 and n > 2: return False return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))

def from_file ( file_path ) -> dict : with io . open ( file_path , 'r' , encoding = 'utf-8' ) as json_stream : return Json . parse ( json_stream , True )

1

python reading json files into dictionary

Load JSON file

cosqa-train-18978

def from_file(file_path) -> dict: """ Load JSON file """ with io.open(file_path, 'r', encoding='utf-8') as json_stream: return Json.parse(json_stream, True)

def isfinite ( data : mx . nd . NDArray ) -> mx . nd . NDArray : is_data_not_nan = data == data is_data_not_infinite = data . abs ( ) != np . inf return mx . nd . logical_and ( is_data_not_infinite , is_data_not_nan )

0

how to check whether the set has nan python

Performs an element - wise check to determine if the NDArray contains an infinite element or not . TODO : remove this funciton after upgrade to MXNet 1 . 4 . * in favor of mx . ndarray . contrib . isfinite ()

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def isfinite(data: mx.nd.NDArray) -> mx.nd.NDArray: """Performs an element-wise check to determine if the NDArray contains an infinite element or not. TODO: remove this funciton after upgrade to MXNet 1.4.* in favor of mx.ndarray.contrib.isfinite() """ is_data_not_nan = data == data is_data_not_infinite = data.abs() != np.inf return mx.nd.logical_and(is_data_not_infinite, is_data_not_nan)

def str_to_time ( time_str : str ) -> datetime . datetime : pieces : Any = [ int ( piece ) for piece in time_str . split ( '-' ) ] return datetime . datetime ( * pieces )

0

get date time object python from string

Convert human readable string to datetime . datetime .

cosqa-train-18980

def str_to_time(time_str: str) -> datetime.datetime: """ Convert human readable string to datetime.datetime. """ pieces: Any = [int(piece) for piece in time_str.split('-')] return datetime.datetime(*pieces)

def stretch ( iterable , n = 2 ) : times = range ( n ) for item in iterable : for i in times : yield item

1

python repeat sequence certain amount of times

r Repeat each item in iterable n times .

cosqa-train-18981

def stretch(iterable, n=2): r"""Repeat each item in `iterable` `n` times. Example: >>> list(stretch(range(3), 2)) [0, 0, 1, 1, 2, 2] """ times = range(n) for item in iterable: for i in times: yield item

def position ( self ) -> Position : return Position ( self . _index , self . _lineno , self . _col_offset )

1

reading cursor position in python

The current position of the cursor .

cosqa-train-18982

def position(self) -> Position: """The current position of the cursor.""" return Position(self._index, self._lineno, self._col_offset)

def _str_to_list ( value , separator ) : value_list = [ item . strip ( ) for item in value . split ( separator ) ] value_list_sanitized = builtins . list ( filter ( None , value_list ) ) if len ( value_list_sanitized ) > 0 : return value_list_sanitized else : raise ValueError ( 'Invalid list variable.' )

0

python making a list out of a string

Convert a string to a list with sanitization .

cosqa-train-18983

def _str_to_list(value, separator): """Convert a string to a list with sanitization.""" value_list = [item.strip() for item in value.split(separator)] value_list_sanitized = builtins.list(filter(None, value_list)) if len(value_list_sanitized) > 0: return value_list_sanitized else: raise ValueError('Invalid list variable.')

def get_default_bucket_key ( buckets : List [ Tuple [ int , int ] ] ) -> Tuple [ int , int ] : return max ( buckets )

1

python get key with greatest value

Returns the default bucket from a list of buckets i . e . the largest bucket .

cosqa-train-18984

def get_default_bucket_key(buckets: List[Tuple[int, int]]) -> Tuple[int, int]: """ Returns the default bucket from a list of buckets, i.e. the largest bucket. :param buckets: List of buckets. :return: The largest bucket in the list. """ return max(buckets)

def remove_blank_lines ( string ) : return "\n" . join ( line for line in string . split ( "\n" ) if len ( line . strip ( ) ) )

1

make string empty in python

Removes all blank lines in @string

cosqa-train-18985

def remove_blank_lines(string): """ Removes all blank lines in @string -> #str without blank lines """ return "\n".join(line for line in string.split("\n") if len(line.strip()))

def console_get_background_flag ( con : tcod . console . Console ) -> int : return int ( lib . TCOD_console_get_background_flag ( _console ( con ) ) )

1

python tk get background color

Return this consoles current blend mode .

cosqa-train-18986

def console_get_background_flag(con: tcod.console.Console) -> int: """Return this consoles current blend mode. Args: con (Console): Any Console instance. .. deprecated:: 8.5 Check :any:`Console.default_bg_blend` instead. """ return int(lib.TCOD_console_get_background_flag(_console(con)))

def butlast ( iterable ) : iterable = iter ( iterable ) try : first = next ( iterable ) except StopIteration : return for second in iterable : yield first first = second

1

how to iterate from the last element in a list in python

Yield all items from iterable except the last one .

cosqa-train-18987

def butlast(iterable): """Yield all items from ``iterable`` except the last one. >>> list(butlast(['spam', 'eggs', 'ham'])) ['spam', 'eggs'] >>> list(butlast(['spam'])) [] >>> list(butlast([])) [] """ iterable = iter(iterable) try: first = next(iterable) except StopIteration: return for second in iterable: yield first first = second

def iprotate ( l , steps = 1 ) : if len ( l ) : steps %= len ( l ) if steps : firstPart = l [ : steps ] del l [ : steps ] l . extend ( firstPart ) return l

1

rotating a list in python

r Like rotate but modifies l in - place .

cosqa-train-18988

def iprotate(l, steps=1): r"""Like rotate, but modifies `l` in-place. >>> l = [1,2,3] >>> iprotate(l) is l True >>> l [2, 3, 1] >>> iprotate(iprotate(l, 2), -3) [1, 2, 3] """ if len(l): steps %= len(l) if steps: firstPart = l[:steps] del l[:steps] l.extend(firstPart) return l

def get_valid_filename ( s ) : s = str ( s ) . strip ( ) . replace ( ' ' , '_' ) return re . sub ( r'(?u)[^-\w.]' , '' , s )

0

python sanitize file name

Shamelessly taken from Django . https : // github . com / django / django / blob / master / django / utils / text . py

cosqa-train-18989

def get_valid_filename(s): """ Shamelessly taken from Django. https://github.com/django/django/blob/master/django/utils/text.py Return the given string converted to a string that can be used for a clean filename. Remove leading and trailing spaces; convert other spaces to underscores; and remove anything that is not an alphanumeric, dash, underscore, or dot. >>> get_valid_filename("john's portrait in 2004.jpg") 'johns_portrait_in_2004.jpg' """ s = str(s).strip().replace(' ', '_') return re.sub(r'(?u)[^-\w.]', '', s)

def load_yaml ( file ) : if hasattr ( yaml , "full_load" ) : return yaml . full_load ( file ) else : return yaml . load ( file )

1

handle yaml files in python

If pyyaml > 5 . 1 use full_load to avoid warning

cosqa-train-18990

def load_yaml(file): """If pyyaml > 5.1 use full_load to avoid warning""" if hasattr(yaml, "full_load"): return yaml.full_load(file) else: return yaml.load(file)

def warn_if_nans_exist ( X ) : null_count = count_rows_with_nans ( X ) total = len ( X ) percent = 100 * null_count / total if null_count > 0 : warning_message = 'Warning! Found {} rows of {} ({:0.2f}%) with nan values. Only ' 'complete rows will be plotted.' . format ( null_count , total , percent ) warnings . warn ( warning_message , DataWarning )

0

a function that determines the percentage of missing entries for each column in the dataset python

Warn if nans exist in a numpy array .

cosqa-train-18991

def warn_if_nans_exist(X): """Warn if nans exist in a numpy array.""" null_count = count_rows_with_nans(X) total = len(X) percent = 100 * null_count / total if null_count > 0: warning_message = \ 'Warning! Found {} rows of {} ({:0.2f}%) with nan values. Only ' \ 'complete rows will be plotted.'.format(null_count, total, percent) warnings.warn(warning_message, DataWarning)

def dictlist_wipe_key ( dict_list : Iterable [ Dict ] , key : str ) -> None : for d in dict_list : d . pop ( key , None )

1

python drop a key from dictionary

Process an iterable of dictionaries . For each dictionary d delete d [ key ] if it exists .

cosqa-train-18992

def dictlist_wipe_key(dict_list: Iterable[Dict], key: str) -> None: """ Process an iterable of dictionaries. For each dictionary ``d``, delete ``d[key]`` if it exists. """ for d in dict_list: d.pop(key, None)

def memory_full ( ) : current_process = psutil . Process ( os . getpid ( ) ) return ( current_process . memory_percent ( ) > config . MAXIMUM_CACHE_MEMORY_PERCENTAGE )

1

how to limit python memory

Check if the memory is too full for further caching .

cosqa-train-18993

def memory_full(): """Check if the memory is too full for further caching.""" current_process = psutil.Process(os.getpid()) return (current_process.memory_percent() > config.MAXIMUM_CACHE_MEMORY_PERCENTAGE)

def list_to_str ( list , separator = ',' ) : list = [ str ( x ) for x in list ] return separator . join ( list )

1

changing from list to string in python

>>> list = [ 0 0 7 ] >>> list_to_str ( list ) 0 0 7

cosqa-train-18994

def list_to_str(list, separator=','): """ >>> list = [0, 0, 7] >>> list_to_str(list) '0,0,7' """ list = [str(x) for x in list] return separator.join(list)

def is_prime ( n ) : if n % 2 == 0 and n > 2 : return False return all ( n % i for i in range ( 3 , int ( math . sqrt ( n ) ) + 1 , 2 ) )

1

definition of prime in python

Check if n is a prime number

cosqa-train-18995

def is_prime(n): """ Check if n is a prime number """ if n % 2 == 0 and n > 2: return False return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))

def from_file ( file_path ) -> dict : with io . open ( file_path , 'r' , encoding = 'utf-8' ) as json_stream : return Json . parse ( json_stream , True )

0

python read a json file into dictionary

Load JSON file

cosqa-train-18996

def from_file(file_path) -> dict: """ Load JSON file """ with io.open(file_path, 'r', encoding='utf-8') as json_stream: return Json.parse(json_stream, True)

def uppercase_chars ( string : any ) -> str : return '' . join ( [ c if c . isupper ( ) else '' for c in str ( string ) ] )

1

keep only uppercase words in string python

Return all ( and only ) the uppercase chars in the given string .

cosqa-train-18997

def uppercase_chars(string: any) -> str: """Return all (and only) the uppercase chars in the given string.""" return ''.join([c if c.isupper() else '' for c in str(string)])

def is_unicode ( string ) : str_type = str ( type ( string ) ) if str_type . find ( 'str' ) > 0 or str_type . find ( 'unicode' ) > 0 : return True return False

1

python check is an string

Validates that the object itself is some kinda string

cosqa-train-18998

def is_unicode(string): """Validates that the object itself is some kinda string""" str_type = str(type(string)) if str_type.find('str') > 0 or str_type.find('unicode') > 0: return True return False

def iter_fields ( self , schema : Schema ) -> Iterable [ Tuple [ str , Field ] ] : for name in sorted ( schema . fields . keys ( ) ) : field = schema . fields [ name ] yield field . dump_to or name , field

1

marshmallow python calling schema self for a nested field

Iterate through marshmallow schema fields .

cosqa-train-18999

def iter_fields(self, schema: Schema) -> Iterable[Tuple[str, Field]]: """ Iterate through marshmallow schema fields. Generates: name, field pairs """ for name in sorted(schema.fields.keys()): field = schema.fields[name] yield field.dump_to or name, field