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jblitzar
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github-python-corpus

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:param fraction: Bandwidth 'b'. Examples: 1/3-octave b=3, 1-octave b=1,
2/3-octave b = 3/2
:param limits: It is a list with the minimum and maximum frequency that
the array should have. Example: [12,20000]
:returns: Frequency array, lower edge array and upper edge array
:rtype: list, list, list
"""
if limits is None:
limits = [12, 20000]
# Octave ratio g (ANSI s1.11, 3.2, pg. 2)
g = 10 ** (3 / 10) # Or g = 2
# Reference frequency (ANSI s1.11, 3.4, pg. 2)
fr = 1000
# Get starting index 'x' and first center frequency
x = _initindex(limits[0], fr, g, fraction)
freq = _ratio(g, x, fraction) * fr
# Get each frequency until reach maximum frequency
freq_x = 0
while freq_x * _bandedge(g, fraction) < limits[1]:
# Increase index
x = x + 1
# New frequency
freq_x = _ratio(g, x, fraction) * fr
# Store new frequency
freq = np.append(freq, freq_x)
# Get band-edges
freq_d = freq / _bandedge(g, fraction)
freq_u = freq * _bandedge(g, fraction)
return freq.tolist(), freq_d.tolist(), freq_u.tolist()
def _initindex(f, fr, g, b):
if b % 2: # ODD ('x' solve from ANSI s1.11, eq. 3)
return np.round(
(b * np.log(f / fr) + 30 * np.log(g)) / np.log(g)
)
else: # EVEN ('x' solve from ANSI s1.11, eq. 4)
return np.round(
(2 * b * np.log(f / fr) + 59 * np.log(g)) / (2 * np.log(g))
)
def _ratio(g, x, b):
if b % 2: # ODD (ANSI s1.11, eq. 3)
return g ** ((x - 30) / b)
else: # EVEN (ANSI s1.11, eq. 4)
return g ** ((2 * x - 59) / (2 * b))
def _bandedge(g, b):
# Band-edge ratio (ANSI s1.11, 3.7, pg. 3)
return g ** (1 / (2 * b))
def _printwarn(msg):
print('*********\n' + msg + '\n*********')
def _downsamplingfactor(freq, fs):
guard = 0.10
factor = (np.floor((fs / (2+guard)) / np.array(freq))).astype('int')
for idx in range(len(factor)):
# Factor between 1<factor<50
factor[idx] = max(min(factor[idx], 50), 1)
return factor
# <FILESEP>
# pylint: disable=C0103, C0111, R0914
'''
Make the request to the inshorts url according to category with requests module.
Parse using beautiful soup and lxml to form the newsDictionary.
'''
import requests
from bs4 import BeautifulSoup
def getNews(category):
newsDictionary = {
'success': True,
'category': category,
'data': []
}
try:
htmlBody = requests.get('https://www.inshorts.com/en/read/' + category)
except requests.exceptions.RequestException as e:
newsDictionary['success'] = False
newsDictionary['errorMessage'] = str(e.message)
return newsDictionary
soup = BeautifulSoup(htmlBody.text, 'lxml')