






'''simple docstring'''


import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard







def 	__magic_name__( _A					):
						'''simple docstring'''





						assert "mock" in _fsspec_registry
						assert "bz2" in _fsspec_registry







def 	__magic_name__( ):
						'''simple docstring'''





						assert "mock" not in _fsspec_registry
						assert "bz2" in _fsspec_registry







def 	__magic_name__( ):
						'''simple docstring'''





						UpperCamelCase__         = """mock-s3-bucket"""
						UpperCamelCase__         = f"s3://{mock_bucket}"
						UpperCamelCase__         = extract_path_from_uri(_A					)
						assert dataset_path.startswith("""s3://"""					) is False

						UpperCamelCase__         = """./local/path"""
						UpperCamelCase__         = extract_path_from_uri(_A					)
						assert dataset_path == new_dataset_path







def 	__magic_name__( _A					):
						'''simple docstring'''





						UpperCamelCase__         = is_remote_filesystem(_A					)
						assert is_remote is True

						UpperCamelCase__         = fsspec.filesystem("""file"""					)

						UpperCamelCase__         = is_remote_filesystem(_A					)
						assert is_remote is False







@pytest.mark.parametrize("""compression_fs_class"""						,      _A					)
def 	__magic_name__( _A						,      _A						,      _A						,      _A						,      _A						,      _A						,      _A					):
						'''simple docstring'''





						UpperCamelCase__         = {"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_file, """bz2""": bza_file, """lz4""": lza_file}
						UpperCamelCase__         = input_paths[compression_fs_class.protocol]
						if input_path is None:
												UpperCamelCase__         = f"for '{compression_fs_class.protocol}' compression protocol, "
												if compression_fs_class.protocol == "lz4":
																		reason += require_lza.kwargs["reason"]
												elif compression_fs_class.protocol == "zstd":
																		reason += require_zstandard.kwargs["reason"]
												pytest.skip(_A					)
						UpperCamelCase__         = fsspec.filesystem(compression_fs_class.protocol						,      fo=_A					)
						assert isinstance(_A						,      _A					)
						UpperCamelCase__         = os.path.basename(_A					)
						UpperCamelCase__         = expected_filename[: expected_filename.rindex("""."""					)]
						assert fs.glob("""*"""					) == [expected_filename]
						with fs.open(_A						,      """r"""						,      encoding="""utf-8"""					) as f, open(_A						,      encoding="""utf-8"""					) as expected_file:
												assert f.read() == expected_file.read()







@pytest.mark.parametrize("""protocol"""						,      ["""zip""", """gzip"""]					)
def 	__magic_name__( _A						,      _A						,      _A					):
						'''simple docstring'''





						UpperCamelCase__         = {"""zip""": zip_jsonl_path, """gzip""": jsonl_gz_path}
						UpperCamelCase__         = compressed_file_paths[protocol]
						UpperCamelCase__         = """dataset.jsonl"""
						UpperCamelCase__         = f"{protocol}://{member_file_path}::{compressed_file_path}"
						UpperCamelCase__    ,   *UpperCamelCase__         = fsspec.get_fs_token_paths(_A					)
						assert fs.isfile(_A					)
						assert not fs.isfile("""non_existing_""" + member_file_path					)







@pytest.mark.integration
def 	__magic_name__( _A						,      _A						,      _A						,      _A					):
						'''simple docstring'''





						UpperCamelCase__         = hf_api.dataset_info(_A						,      token=_A					)
						UpperCamelCase__         = HfFileSystem(repo_info=_A						,      token=_A					)
						assert sorted(hffs.glob("""*"""					)					) == [".gitattributes", "data"]
						assert hffs.isdir("""data"""					)
						assert hffs.isfile(""".gitattributes"""					) and hffs.isfile("""data/text_data.txt"""					)
						with open(_A					) as f:
												assert hffs.open("""data/text_data.txt"""						,      """r"""					).read() == f.read()







def 	__magic_name__( ):
						'''simple docstring'''





						UpperCamelCase__         = """bz2"""

						# Import module
						import datasets.filesystems

						# Overwrite protocol and reload
						register_implementation(_A						,      _A						,      clobber=_A					)
						with pytest.warns(_A					) as warning_info:
												importlib.reload(datasets.filesystems					)

						assert len(_A					) == 1
						assert (
						    str(warning_info[0].message					)
						    == f"A filesystem protocol was already set for {protocol} and will be overwritten."
						)








'''simple docstring'''


import numpy as np

from transformers import Pipeline







def 	__magic_name__( _A					):
						'''simple docstring'''





						UpperCamelCase__         = np.max(_A						,      axis=-1						,      keepdims=_A					)
						UpperCamelCase__         = np.exp(outputs - maxes					)
						return shifted_exp / shifted_exp.sum(axis=-1						,      keepdims=_A					)







class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			def 				A      (   self							:						int ,      **lowercase							:						List[Any]			)							->    List[str]:

									'''simple docstring'''







									UpperCamelCase__         = {}
									if "second_text" in kwargs:
															UpperCamelCase__         = kwargs["""second_text"""]
									return preprocess_kwargs, {}, {}






			def 				A      (   self							:						Optional[int] ,      lowercase							:						Union[str, Any] ,      lowercase							:						Any=None			)							->    Optional[int]:

									'''simple docstring'''







									return self.tokenizer(lowercase ,      text_pair=lowercase ,      return_tensors=self.framework			)






			def 				A      (   self							:						Union[str, Any] ,      lowercase							:						Optional[int]			)							->    Any:

									'''simple docstring'''







									return self.model(**lowercase			)







			def 				A      (   self							:						List[str] ,      lowercase							:						Any			)							->    Optional[int]:

									'''simple docstring'''







									UpperCamelCase__         = model_outputs.logits[0].numpy()
									UpperCamelCase__         = softmax(lowercase			)

									UpperCamelCase__         = np.argmax(lowercase			)
									UpperCamelCase__         = self.model.config.idalabel[best_class]
									UpperCamelCase__         = probabilities[best_class].item()
									UpperCamelCase__         = logits.tolist()
									return {"label": label, "score": score, "logits": logits}
