


import unittest
from pathlib import Path
from tempfile import TemporaryDirectory

from transformers import AutoConfig, TFAutoModel, is_tensorflow_text_available, is_tf_available
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.testing_utils import require_tensorflow_text, require_tf, slow


if is_tf_available():
						import tensorflow as tf

if is_tensorflow_text_available():
						from transformers.models.bert import TFBertTokenizer


_snake_case	=						["bert-base-uncased", "bert-base-cased"]
_snake_case	=						"hf-internal-testing/tiny-bert-tf-only"

if is_tf_available():



						class 						UpperCAmelCase_					( tf.keras.Model):







													def __init__(     self,    __a):

																				'''simple docstring'''

																				super().__init__()
																				_lowerCAmelCase  :							Any				     =					tokenizer
																				_lowerCAmelCase  :							Optional[Any]				     =					AutoConfig.from_pretrained(_UpperCAmelCase)
																				_lowerCAmelCase  :							str				     =					TFAutoModel.from_config(_UpperCAmelCase)







													def      snake_case__   (     self,    __a):

																				'''simple docstring'''

																				_lowerCAmelCase  :							Any				     =					self.tokenizer(_UpperCAmelCase)
																				_lowerCAmelCase  :							int				     =					self.bert(**_UpperCAmelCase)
																				return out["pooler_output"]



@require_tf
@require_tensorflow_text
class 						UpperCAmelCase_					( unittest.TestCase):







							def      snake_case__   (     self):

														'''simple docstring'''

														super().setUp()

														_lowerCAmelCase  :							Any				     =					[
														    BertTokenizer.from_pretrained(_UpperCAmelCase) for checkpoint in (TOKENIZER_CHECKPOINTS * 2)
														]  # repeat for when fast_bert_tokenizer=false
														_lowerCAmelCase  :							Union[str, Any]				     =					[TFBertTokenizer.from_pretrained(_UpperCAmelCase) for checkpoint in TOKENIZER_CHECKPOINTS] + [
														    TFBertTokenizer.from_pretrained(_UpperCAmelCase,    use_fast_bert_tokenizer=_UpperCAmelCase)
														    for checkpoint in TOKENIZER_CHECKPOINTS
														]
														assert len(self.tokenizers) == len(self.tf_tokenizers)

														_lowerCAmelCase  :							Tuple				     =					[
														    '''This is a straightforward English test sentence.''',
														    '''This one has some weird characters\rto\nsee\r\nif  those\u00E9break things.''',
														    '''Now we\'re going to add some Chinese: 一 二 三 一二三''',
														    '''And some much more rare Chinese: 齉 堃 齉堃''',
														    '''Je vais aussi écrire en français pour tester les accents''',
														    '''Classical Irish also has some unusual characters, so in they go: Gaelaċ, ꝼ''',
														]
														_lowerCAmelCase  :							Any				     =					list(zip(self.test_sentences,    self.test_sentences[::-1]))







							def      snake_case__   (     self):

														'''simple docstring'''

														for tokenizer, tf_tokenizer in zip(self.tokenizers,    self.tf_tokenizers):
																					for test_inputs in (self.test_sentences, self.paired_sentences):
																												_lowerCAmelCase  :							List[Any]				     =					tokenizer(_UpperCAmelCase,    return_tensors="tf",    padding="longest")
																												_lowerCAmelCase  :							List[str]				     =					tf_tokenizer(_UpperCAmelCase)

																												for key in python_outputs.keys():
																																			self.assertTrue(tf.reduce_all(python_outputs[key].shape == tf_outputs[key].shape))
																																			self.assertTrue(tf.reduce_all(tf.cast(python_outputs[key],    tf.intaa) == tf_outputs[key]))







							@slow
							def      snake_case__   (     self):

														'''simple docstring'''

														for tf_tokenizer in self.tf_tokenizers:
																					_lowerCAmelCase  :							Dict				     =					tf_tokenizer(self.paired_sentences)
																					_lowerCAmelCase  :							str				     =					tf_tokenizer(
																					    text=[sentence[0] for sentence in self.paired_sentences],    text_pair=[sentence[1] for sentence in self.paired_sentences],    )
																					for key in merged_outputs.keys():
																												self.assertTrue(tf.reduce_all(tf.cast(merged_outputs[key],    tf.intaa) == separated_outputs[key]))







							@slow
							def      snake_case__   (     self):

														'''simple docstring'''

														for tf_tokenizer in self.tf_tokenizers:
																					_lowerCAmelCase  :							Tuple				     =					tf.function(_UpperCAmelCase)
																					for test_inputs in (self.test_sentences, self.paired_sentences):
																												_lowerCAmelCase  :							List[str]				     =					tf.constant(_UpperCAmelCase)
																												_lowerCAmelCase  :							Tuple				     =					compiled_tokenizer(_UpperCAmelCase)
																												_lowerCAmelCase  :							Union[str, Any]				     =					tf_tokenizer(_UpperCAmelCase)

																												for key in eager_outputs.keys():
																																			self.assertTrue(tf.reduce_all(eager_outputs[key] == compiled_outputs[key]))







							@slow
							def      snake_case__   (     self):

														'''simple docstring'''

														for tf_tokenizer in self.tf_tokenizers:
																					_lowerCAmelCase  :							Dict				     =					ModelToSave(tokenizer=_UpperCAmelCase)
																					_lowerCAmelCase  :							Tuple				     =					tf.convert_to_tensor(self.test_sentences)
																					_lowerCAmelCase  :							List[str]				     =					model(_UpperCAmelCase)  # Build model with some sample inputs
																					with TemporaryDirectory() as tempdir:
																												_lowerCAmelCase  :							Tuple				     =					Path(_UpperCAmelCase) / '''saved.model'''
																												model.save(_UpperCAmelCase)
																												_lowerCAmelCase  :							Tuple				     =					tf.keras.models.load_model(_UpperCAmelCase)
																					_lowerCAmelCase  :							int				     =					loaded_model(_UpperCAmelCase)
																					# We may see small differences because the loaded model is compiled, so we need an epsilon for the test
																					self.assertLessEqual(tf.reduce_max(tf.abs(out - loaded_output)),    1E-5)





from __future__ import annotations

from collections.abc import MutableSequence



class 						UpperCAmelCase_					:







							def __init__(     self,    __a,    __a):

														'''simple docstring'''

														if len(__a) != degree + 1:
																					raise ValueError(
																					    "The number of coefficients should be equal to the degree + 1.")

														_lowerCAmelCase  :							list[float]				     =					list(__a)
														_lowerCAmelCase  :							Any				     =					degree







							def __add__(     self,    __a):

														'''simple docstring'''

														if self.degree > polynomial_a.degree:
																					_lowerCAmelCase  :							Dict				     =					self.coefficients[:]
																					for i in range(polynomial_a.degree + 1):
																												coefficients[i] += polynomial_a.coefficients[i]
																					return Polynomial(self.degree,    __a)
														else:
																					_lowerCAmelCase  :							Union[str, Any]				     =					polynomial_a.coefficients[:]
																					for i in range(self.degree + 1):
																												coefficients[i] += self.coefficients[i]
																					return Polynomial(polynomial_a.degree,    __a)







							def __sub__(     self,    __a):

														'''simple docstring'''

														return self + polynomial_a * Polynomial(0,    [-1])







							def __neg__(     self):

														'''simple docstring'''

														return Polynomial(self.degree,    [-c for c in self.coefficients])







							def __mul__(     self,    __a):

														'''simple docstring'''

														_lowerCAmelCase  :							list[float]				     =					[0] * (self.degree + polynomial_a.degree + 1)
														for i in range(self.degree + 1):
																					for j in range(polynomial_a.degree + 1):
																												coefficients[i + j] += (
																												    self.coefficients[i] * polynomial_a.coefficients[j]
																												)

														return Polynomial(self.degree + polynomial_a.degree,    __a)







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

														_lowerCAmelCase  :							int | float				     =					0
														for i in range(self.degree + 1):
																					result += self.coefficients[i] * (substitution**i)
														return result







							def __str__(     self):

														'''simple docstring'''

														_lowerCAmelCase  :							List[str]				     =					""
														for i in range(self.degree,    -1,    -1):
																					if self.coefficients[i] == 0:
																												continue
																					elif self.coefficients[i] > 0:
																												if polynomial:
																																			polynomial += " + "
																					else:
																												polynomial += " - "

																					if i == 0:
																												polynomial += str(abs(self.coefficients[i]))
																					elif i == 1:
																												polynomial += str(abs(self.coefficients[i])) + "x"
																					else:
																												polynomial += str(abs(self.coefficients[i])) + "x^" + str(__a)

														return polynomial







							def __repr__(     self):

														'''simple docstring'''

														return self.__str__()







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							list[float]				     =					[0] * self.degree
														for i in range(self.degree):
																					_lowerCAmelCase  :							List[Any]				     =					self.coefficients[i + 1] * (i + 1)
														return Polynomial(self.degree - 1,    __a)







							def      snake_case__   (     self,    __a = 0):

														'''simple docstring'''

														_lowerCAmelCase  :							list[float]				     =					[0] * (self.degree + 2)
														_lowerCAmelCase  :							Optional[Any]				     =					constant
														for i in range(self.degree + 1):
																					_lowerCAmelCase  :							Dict				     =					self.coefficients[i] / (i + 1)
														return Polynomial(self.degree + 1,    __a)







							def __eq__(     self,    __a):

														'''simple docstring'''

														if not isinstance(__a,    __a):
																					return False

														if self.degree != polynomial_a.degree:
																					return False

														for i in range(self.degree + 1):
																					if self.coefficients[i] != polynomial_a.coefficients[i]:
																												return False

														return True







							def __ne__(     self,    __a):

														'''simple docstring'''

														return not self.__eq__(__a)
