
'''simple docstring'''
import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


lowercase__						       =      get_logger(__name__)






class 	snake_case__       (      enum.Enum					):







		"""simple docstring"""

		lowerCamelCase     							=						"""all_checks"""
		lowerCamelCase     							=						"""basic_checks"""
		lowerCamelCase     							=						"""no_checks"""







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""








class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""








class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""








class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""








def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__=None			)  ->							Optional[Any]:


		'''simple docstring'''


		if expected_checksums is None:
				logger.info('''Unable to verify checksums.'''			)
				return
		if len(set(SCREAMING_SNAKE_CASE__			) - set(SCREAMING_SNAKE_CASE__			)			) > 0:
				raise ExpectedMoreDownloadedFiles(str(set(SCREAMING_SNAKE_CASE__			) - set(SCREAMING_SNAKE_CASE__			)			)			)
		if len(set(SCREAMING_SNAKE_CASE__			) - set(SCREAMING_SNAKE_CASE__			)			) > 0:
				raise UnexpectedDownloadedFile(str(set(SCREAMING_SNAKE_CASE__			) - set(SCREAMING_SNAKE_CASE__			)			)			)
		snake_case  :       Optional[Any]     			=						[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
		snake_case  :       Optional[Any]     			=						''' for ''' + verification_name if verification_name is not None else ''''''
		if len(SCREAMING_SNAKE_CASE__			) > 0:
				raise NonMatchingChecksumError(
				    F'Checksums didn\'t match{for_verification_name}:\n'
				    F'{bad_urls}\n'
				    '''Set `verification_mode=\'no_checks\'` to skip checksums verification and ignore this error'''			)
		logger.info('''All the checksums matched successfully''' + for_verification_name			)






class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""








class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""








class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""








class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""








def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)  ->							Any:


		'''simple docstring'''


		if expected_splits is None:
				logger.info('''Unable to verify splits sizes.'''			)
				return
		if len(set(SCREAMING_SNAKE_CASE__			) - set(SCREAMING_SNAKE_CASE__			)			) > 0:
				raise ExpectedMoreSplits(str(set(SCREAMING_SNAKE_CASE__			) - set(SCREAMING_SNAKE_CASE__			)			)			)
		if len(set(SCREAMING_SNAKE_CASE__			) - set(SCREAMING_SNAKE_CASE__			)			) > 0:
				raise UnexpectedSplits(str(set(SCREAMING_SNAKE_CASE__			) - set(SCREAMING_SNAKE_CASE__			)			)			)
		snake_case  :       Union[str, Any]     			=						[
		    {'''expected''': expected_splits[name], '''recorded''': recorded_splits[name]}
		    for name in expected_splits
		    if expected_splits[name].num_examples != recorded_splits[name].num_examples
		]
		if len(SCREAMING_SNAKE_CASE__			) > 0:
				raise NonMatchingSplitsSizesError(str(SCREAMING_SNAKE_CASE__			)			)
		logger.info('''All the splits matched successfully.'''			)




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ = True			)  ->							dict:


		'''simple docstring'''


		if record_checksum:
				snake_case  :       Optional[int]     			=						shaaaa()
				with open(SCREAMING_SNAKE_CASE__ ,       '''rb'''			) as f:
						for chunk in iter(lambda: f.read(1 << 20			) ,       B''''''			):
								m.update(SCREAMING_SNAKE_CASE__			)
						snake_case  :       List[str]     			=						m.hexdigest()
		else:
				snake_case  :       Tuple     			=						None
		return {"num_bytes": os.path.getsize(SCREAMING_SNAKE_CASE__			), "checksum": checksum}




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							Dict:


		'''simple docstring'''


		if dataset_size and config.IN_MEMORY_MAX_SIZE:
				return dataset_size < config.IN_MEMORY_MAX_SIZE
		else:
				return False










from __future__ import annotations






class 						lowercase_   :






      '''simple docstring'''




      def __init__( self :		List[str]					,   __UpperCAmelCase :		int    )       ->None:




       """simple docstring"""


       a						    = order

       # a_{0} ... a_{k}
       a						    = [1.0] + [0.0] * order
       # b_{0} ... b_{k}
       a						    = [1.0] + [0.0] * order

       # x[n-1] ... x[n-k]
       a						    = [0.0] * self.order
       # y[n-1] ... y[n-k]
       a						    = [0.0] * self.order







      def  __lowerCAmelCase   ( self :		Union[str, Any]					,   __UpperCAmelCase :		list[float]					,   __UpperCAmelCase :		list[float]    )       ->None:




       """simple docstring"""


       if len(__UpperCAmelCase    ) < self.order:
        a						    = [1.0, *a_coeffs]

       if len(__UpperCAmelCase    ) != self.order + 1:
        a						    = (
            F"""Expected a_coeffs to have {self.order + 1} elements """
            F"""for {self.order}-order filter, got {len(__UpperCAmelCase    )}"""
        )
        raise ValueError(__UpperCAmelCase    )

       if len(__UpperCAmelCase    ) != self.order + 1:
        a						    = (
            F"""Expected b_coeffs to have {self.order + 1} elements """
            F"""for {self.order}-order filter, got {len(__UpperCAmelCase    )}"""
        )
        raise ValueError(__UpperCAmelCase    )

       a						    = a_coeffs
       a						    = b_coeffs







      def  __lowerCAmelCase   ( self :		Any					,   __UpperCAmelCase :		float    )       ->float:




       """simple docstring"""


       a						    = 0.0

       # Start at index 1 and do index 0 at the end.
       for i in range(1					,   self.order + 1    ):
        result += (
            self.b_coeffs[i] * self.input_history[i - 1]
            - self.a_coeffs[i] * self.output_history[i - 1]
        )

       a						    = (result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

       a						    = self.input_history[:-1]
       a						    = self.output_history[:-1]

       a						    = sample
       a						    = result

       return result


