



'''simple docstring'''





import math
def 						_a       (    lowerCamelCase_	,		lowerCamelCase_				):




   if initial_intensity < 0:
      raise ValueError('''The value of intensity cannot be negative'''				)
      # handling of negative values of initial intensity
   if angle < 0 or angle > 3_60:
      raise ValueError('''In Malus Law, the angle is in the range 0-360 degrees'''				)
      # handling of values out of allowed range
   return initial_intensity * (math.cos(math.radians(__lowerCamelCase				)				) ** 2)


if __name__ == "__main__":
      import doctest

      doctest.testmod(name="""malus_law""")









'''simple docstring'''






import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text





def lowerCamelCase__     (		__lowerCamelCase			:				List[str]				):







   '''simple docstring'''




   _UpperCAmelCase  :  int				       =[]
   for line in lines:
      _UpperCAmelCase  :  Dict				       =re.sub(R'#.*'			,       ''			,       __lowerCamelCase				)  # remove comments
      if line:
         filtered_lines.append(__lowerCamelCase				)
   _UpperCAmelCase  :  str				       ='\n'.join(__lowerCamelCase				)

   # Make a hash from all this code
   _UpperCAmelCase  :  str				       =full_str.encode('utf-8'				)
   return shaaaa(__lowerCamelCase				).hexdigest()


# get importable module names and hash for caching
lowercase				={
    'csv': (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    'json': (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    'pandas': (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    'parquet': (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    'arrow': (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    'text': (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    'imagefolder': (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    'audiofolder': (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
lowercase				={
    '.csv': ('csv', {}),
    '.tsv': ('csv', {'sep': '\t'}),
    '.json': ('json', {}),
    '.jsonl': ('json', {}),
    '.parquet': ('parquet', {}),
    '.arrow': ('arrow', {}),
    '.txt': ('text', {}),
}
_EXTENSION_TO_MODULE.update({ext: ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
lowercase				={'imagefolder', 'audiofolder'}

# Used to filter data files based on extensions given a module name
lowercase				={}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
 _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append('.zip')




_MODULE_TO_EXTENSIONS["audiofolder"].append('.zip')

