




import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class 			a__    (					snake_case__      ):
						_a							:    Optional[int]					=    """"""
						_a							:    str					=    (
						    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
						)
						_a							:    str					=    None  # compression type in fsspec. ex: "gzip"
						_a							:    str					=    None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz






						def __init__(   self		,			_A = ""		,			_A = None		,			_A = None		,			**_A			):




											"""simple docstring"""



											super().__init__(self		,			**_A			)
											# always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
											__lowerCAmelCase				   =       fsspec.open(
											    _A		,			mode="rb"		,			protocol=_A		,			compression=self.compression		,			client_kwargs={
											        "requote_redirect_url": False,  # see https://github.com/huggingface/datasets/pull/5459
											        "trust_env": True,  # Enable reading proxy env variables.
											        **(target_options or {}).pop("client_kwargs"		,			{}			),  # To avoid issues if it was already passed.
											    }		,			**(target_options or {})		,			)
											__lowerCAmelCase				   =       os.path.basename(self.file.path.split("::"			)[0]			)
											__lowerCAmelCase				   =       (
											    self.compressed_name[: self.compressed_name.rindex("."			)]
											    if "." in self.compressed_name
											    else self.compressed_name
											)
											__lowerCAmelCase				   =       None






						@classmethod
						def 				__SCREAMING_SNAKE_CASE(   cls		,			_A			):




											"""simple docstring"""



											return super()._strip_protocol(_A			).lstrip("/"			)






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



											if self.dir_cache is None:
																__lowerCAmelCase				   =       {**self.file.fs.info(self.file.path			), "name": self.uncompressed_name}
																__lowerCAmelCase				   =       {f["name"]: f}






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A			):




											"""simple docstring"""



											return self.file.open().read()






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A		,			_A = "rb"		,			_A=None		,			_A=True		,			_A=None		,			**_A		,			):




											"""simple docstring"""



											__lowerCAmelCase				   =       self._strip_protocol(_A			)
											if mode != "rb":
																raise ValueError(f"""Tried to read with mode {mode} on file {self.file.path} opened with mode 'rb'"""			)
											return self.file.open()






class 			a__    (					snake_case__      ):
						_a							:    Any					=    """bz2"""
						_a							:    Dict					=    """bz2"""
						_a							:    Union[str, Any]					=    """.bz2"""






class 			a__    (					snake_case__      ):
						_a							:    int					=    """gzip"""
						_a							:    List[Any]					=    """gzip"""
						_a							:    Optional[int]					=    """.gz"""






class 			a__    (					snake_case__      ):
						_a							:    Optional[int]					=    """lz4"""
						_a							:    Any					=    """lz4"""
						_a							:    Tuple					=    """.lz4"""






class 			a__    (					snake_case__      ):
						_a							:    Dict					=    """xz"""
						_a							:    List[Any]					=    """xz"""
						_a							:    Optional[Any]					=    """.xz"""






class 			a__    (					snake_case__      ):
						_a							:    Union[str, Any]					=    """zstd"""
						_a							:    int					=    """zstd"""
						_a							:    int					=    """.zst"""






						def __init__(   self		,			_A		,			_A = "rb"		,			_A = None		,			_A = None		,			_A = DEFAULT_BLOCK_SIZE		,			**_A		,			):




											"""simple docstring"""



											super().__init__(
											    fo=_A		,			mode=_A		,			target_protocol=_A		,			target_options=_A		,			block_size=_A		,			**_A		,			)
											# We need to wrap the zstd decompressor to avoid this error in fsspec==2021.7.0 and zstandard==0.15.2:
											#
											# File "/Users/user/.virtualenvs/hf-datasets/lib/python3.7/site-packages/fsspec/core.py", line 145, in open
											#     out.close = close
											# AttributeError: 'zstd.ZstdDecompressionReader' object attribute 'close' is read-only
											#
											# see https://github.com/intake/filesystem_spec/issues/725
											__lowerCAmelCase				   =       self.file.__enter__
											class 			a__    :






																	def __init__(   self		,			_A			):




																						"""simple docstring"""



																						__lowerCAmelCase				   =       file_






																	def __enter__(   self			):




																						"""simple docstring"""



																						self._file.__enter__()
																						return self






																	def __exit__(   self		,			*_A		,			**_A			):




																						"""simple docstring"""



																						self._file.__exit__(*_A		,			**_A			)






																	def __iter__(   self			):




																						"""simple docstring"""



																						return iter(self._file			)






																	def 				__SCREAMING_SNAKE_CASE(   self			):




																						"""simple docstring"""



																						return next(self._file			)






																	def __getattr__(   self		,			_A			):




																						"""simple docstring"""



																						return getattr(self._file		,			_A			)

											def fixed_enter(*_A		,			**_A			):
																return WrappedFile(_enter(*_A		,			**_A			)			)

											__lowerCAmelCase				   =       fixed_enter






'''simple docstring'''







import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
							from transformers import AutoModelForSeqaSeqLM, AutoTokenizer






@require_torch
@require_sentencepiece
@require_tokenizers
class  lowerCAmelCase__   (  unittest.TestCase     ):






					@slow
					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Dict													=       AutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small'''				,							return_dict=__SCREAMING_SNAKE_CASE		).to(__SCREAMING_SNAKE_CASE		)
											lowercase_	:     Union[str, Any]													=       AutoTokenizer.from_pretrained('''google/mt5-small'''		)

											lowercase_	:     int													=       tokenizer('''Hello there'''				,							return_tensors='''pt'''		).input_ids
											lowercase_	:     Union[str, Any]													=       tokenizer('''Hi I am'''				,							return_tensors='''pt'''		).input_ids

											lowercase_	:     Union[str, Any]													=       model(input_ids.to(__SCREAMING_SNAKE_CASE		)				,							labels=labels.to(__SCREAMING_SNAKE_CASE		)		).loss
											lowercase_	:     int													=       -(labels.shape[-1] * loss.item())

											lowercase_	:     Any													=       -84.9_127
											self.assertTrue(abs(mtf_score - EXPECTED_SCORE		) < 1E-4		)



