"""simple docstring"""




from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
				import numpy as np
				import tensorflow as tf

				from transformers import TFCamembertModel
@require_tf
@require_sentencepiece
@require_tokenizers
class     UpperCamelCase__(			unittest.TestCase ):





						@slow
						def 				snake_case__	(       self     )					->				Any:
													A__	     =							TFCamembertModel.from_pretrained('jplu/tf-camembert-base'     )

													A__	     =							tf.convert_to_tensor(
													    [[5, 1_21, 11, 6_60, 16, 7_30, 2_55_43, 1_10, 83, 6]]		,dtype=tf.intaa		,)  # J'aime le camembert !"

													A__	     =							model(__UpperCAmelCase     )['last_hidden_state']
													A__	     =							tf.TensorShape((1, 10, 7_68)     )
													self.assertEqual(output.shape		,__UpperCAmelCase     )
													# compare the actual values for a slice.
													A__	     =							tf.convert_to_tensor(
													    [[[-0.0_2_5_4, 0.0_2_3_5, 0.1_0_2_7], [0.0_6_0_6, -0.1_8_1_1, -0.0_4_1_8], [-0.1_5_6_1, -0.1_1_2_7, 0.2_6_8_7]]]		,dtype=tf.floataa		,)
													# camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
													# camembert.eval()
													# expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

													self.assertTrue(np.allclose(output[:, :3, :3].numpy()		,expected_slice.numpy()		,atol=1e-4     )     )






"""simple docstring"""




import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


__lowerCamelCase											=  importlib.util.find_spec("s3fs") is not None

if _has_safs:
				from .safilesystem import SaFileSystem  # noqa: F401

__lowerCamelCase											=  [
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
				if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
								warnings.warn(F'''A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.''')
				fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							if "://" in dataset_path:
														A__	     =							dataset_path.split('://'				)[1]
							return dataset_path






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							if fs is not None and fs.protocol != "file":
														return True
							else:
														return False






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							not is_remote_filesystem(UpperCamelCase__				)
							if is_local:
														# LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
														shutil.move(fs._strip_protocol(UpperCamelCase__				)       ,    fs._strip_protocol(UpperCamelCase__				)				)
							else:
														fs.mv(UpperCamelCase__       ,    UpperCamelCase__       ,    recursive=UpperCamelCase__				)






def   UpperCAmelCase					(	):






							"""simple docstring"""





							if hasattr(fsspec.asyn       ,    'reset_lock'				):
														# for future fsspec>2022.05.0
														fsspec.asyn.reset_lock()
							else:
														A__	     =							None
														A__	     =							None
														A__	     =							threading.Lock()





