






'''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 					_snake_case						(			unittest.TestCase ):






	@slow
	def    lowerCAmelCase_							(		self       )						->    List[Any]:
					snake_case__      :List[Any]         =   TFCamembertModel.from_pretrained("jplu/tf-camembert-base"       )

					snake_case__      :List[Any]         =   tf.convert_to_tensor(
					    [[5, 121, 11, 660, 16, 730, 25_543, 110, 83, 6]]					,dtype=tf.intaa					,)  # J'aime le camembert !"

					snake_case__      :Optional[int]         =   model(UpperCamelCase       )["last_hidden_state"]
					snake_case__      :Optional[Any]         =   tf.TensorShape((1, 10, 768)       )
					self.assertEqual(output.shape					,UpperCamelCase       )
					# compare the actual values for a slice.
					snake_case__      :Optional[int]         =   tf.convert_to_tensor(
					    [[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]]					,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       )       )







import os

try:
	from .build_directory_md import good_file_paths
except ImportError:
	from build_directory_md import good_file_paths  # type: ignore

__UpperCAmelCase							:   List[Any]							=  list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

__UpperCAmelCase							:   int							=  [file for file in filepaths if file != file.lower()]
if upper_files:
	print(F'''{len(upper_files)} files contain uppercase characters:''')
	print("\n".join(upper_files) + "\n")

__UpperCAmelCase							:   Any							=  [file for file in filepaths if " " in file]
if space_files:
	print(F'''{len(space_files)} files contain space characters:''')
	print("\n".join(space_files) + "\n")

__UpperCAmelCase							:   str							=  [file for file in filepaths if "-" in file]
if hyphen_files:
	print(F'''{len(hyphen_files)} files contain hyphen characters:''')
	print("\n".join(hyphen_files) + "\n")

__UpperCAmelCase							:   Dict							=  [file for file in filepaths if os.sep not in file]
if nodir_files:
	print(F'''{len(nodir_files)} files are not in a directory:''')
	print("\n".join(nodir_files) + "\n")

__UpperCAmelCase							:   int							=  len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
	import sys

	sys.exit(bad_files)