




'''simple docstring'''

import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


a  :				int									=  get_logger(__name__)






class 						a				(   enum.Enum     ):
				snake_case_      =		"all_checks"
				snake_case_      =		"basic_checks"
				snake_case_      =		"no_checks"







class 						a				(   _lowerCamelCase     ):
				pass







class 						a				(   _lowerCamelCase     ):
				pass







class 						a				(   _lowerCamelCase     ):
				pass







class 						a				(   _lowerCamelCase     ):
				pass







def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase=None	)		->					Dict:

					'''simple docstring'''

					if expected_checksums is None:
										logger.info('''Unable to verify checksums.'''	)
										return
					if len(set(__UpperCAmelCase	) - set(__UpperCAmelCase	)	) > 0:
										raise ExpectedMoreDownloadedFiles(str(set(__UpperCAmelCase	) - set(__UpperCAmelCase	)	)	)
					if len(set(__UpperCAmelCase	) - set(__UpperCAmelCase	)	) > 0:
										raise UnexpectedDownloadedFile(str(set(__UpperCAmelCase	) - set(__UpperCAmelCase	)	)	)
					snake_case_									=				[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
					snake_case_									=				''' for ''' + verification_name if verification_name is not None else ''''''
					if len(__UpperCAmelCase	) > 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 						a				(   _lowerCamelCase     ):
				pass







class 						a				(   _lowerCamelCase     ):
				pass







class 						a				(   _lowerCamelCase     ):
				pass







class 						a				(   _lowerCamelCase     ):
				pass







def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase	)		->					Tuple:

					'''simple docstring'''

					if expected_splits is None:
										logger.info('''Unable to verify splits sizes.'''	)
										return
					if len(set(__UpperCAmelCase	) - set(__UpperCAmelCase	)	) > 0:
										raise ExpectedMoreSplits(str(set(__UpperCAmelCase	) - set(__UpperCAmelCase	)	)	)
					if len(set(__UpperCAmelCase	) - set(__UpperCAmelCase	)	) > 0:
										raise UnexpectedSplits(str(set(__UpperCAmelCase	) - set(__UpperCAmelCase	)	)	)
					snake_case_									=				[
					    {'''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(__UpperCAmelCase	) > 0:
										raise NonMatchingSplitsSizesError(str(__UpperCAmelCase	)	)
					logger.info('''All the splits matched successfully.'''	)


def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase = True	)		->					dict:

					'''simple docstring'''

					if record_checksum:
										snake_case_									=				shaaaa()
										with open(__UpperCAmelCase,      '''rb'''	) as f:
															for chunk in iter(lambda: f.read(1 << 20	),      b''''''	):
																				m.update(__UpperCAmelCase	)
															snake_case_									=				m.hexdigest()
					else:
										snake_case_									=				None
					return {"num_bytes": os.path.getsize(__UpperCAmelCase	), "checksum": checksum}


def 		__magic_name__    (	__UpperCAmelCase	)		->					Tuple:

					'''simple docstring'''

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







'''simple docstring'''

import re

from filelock import FileLock


try:
							import nltk

							a  :				Union[str, Any]									=  True
except (ImportError, ModuleNotFoundError):
							a  :				Any									=  False

if NLTK_AVAILABLE:
							with FileLock('.lock') as lock:
														nltk.download('punkt', quiet=True)


def 		__magic_name__    (	__UpperCAmelCase	)		->					str:

					'''simple docstring'''

					re.sub('''<n>''',      '''''',      __UpperCAmelCase	)  # remove pegasus newline char
					assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
					return "\n".join(nltk.sent_tokenize(__UpperCAmelCase	)	)

