
import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class        A_   (			__lowerCamelCase      ,	unittest.TestCase   ):




	'''simple docstring'''


	_UpperCamelCase     :     int							 =       MobileBertTokenizer
	_UpperCamelCase     :     List[str]							 =       MobileBertTokenizerFast
	_UpperCamelCase     :     Tuple							 =       True
	_UpperCamelCase     :     Optional[Any]							 =       True
	_UpperCamelCase     :     Optional[int]							 =       filter_non_english
	_UpperCamelCase     :     List[str]							 =       """google/mobilebert-uncased"""





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		super().setUp()

		lowercase       =    [
		    '[UNK]',
		    '[CLS]',
		    '[SEP]',
		    '[PAD]',
		    '[MASK]',
		    'want',
		    '##want',
		    '##ed',
		    'wa',
		    'un',
		    'runn',
		    '##ing',
		    ',',
		    'low',
		    'lowest',
		]
		lowercase       =    os.path.join(self.tmpdirname		,    VOCAB_FILES_NAMES['vocab_file']       )
		with open(self.vocab_file		,    'w'		,    encoding='utf-8'       ) as vocab_writer:
			vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]       )       )

		lowercase       =    [
		    (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
		    for tokenizer_def in self.tokenizers_list
		]





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case       ):
		lowercase       =    'UNwant\u00E9d,running'
		lowercase       =    'unwanted, running'
		return input_text, output_text





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    self.tokenizer_class(self.vocab_file       )

		lowercase       =    tokenizer.tokenize('UNwant\u00E9d,running'       )
		self.assertListEqual(snake_case		,    ['un', '##want', '##ed', ',', 'runn', '##ing']       )
		self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case       )		,    [9, 6, 7, 12, 10, 11]       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		if not self.test_rust_tokenizer:
			return

		lowercase       =    self.get_tokenizer()
		lowercase       =    self.get_rust_tokenizer()

		lowercase       =    'UNwant\u00E9d,running'

		lowercase       =    tokenizer.tokenize(snake_case       )
		lowercase       =    rust_tokenizer.tokenize(snake_case       )
		self.assertListEqual(snake_case		,    snake_case       )

		lowercase       =    tokenizer.encode(snake_case		,    add_special_tokens=snake_case       )
		lowercase       =    rust_tokenizer.encode(snake_case		,    add_special_tokens=snake_case       )
		self.assertListEqual(snake_case		,    snake_case       )

		lowercase       =    self.get_rust_tokenizer()
		lowercase       =    tokenizer.encode(snake_case       )
		lowercase       =    rust_tokenizer.encode(snake_case       )
		self.assertListEqual(snake_case		,    snake_case       )

		# With lower casing
		lowercase       =    self.get_tokenizer(do_lower_case=snake_case       )
		lowercase       =    self.get_rust_tokenizer(do_lower_case=snake_case       )

		lowercase       =    'UNwant\u00E9d,running'

		lowercase       =    tokenizer.tokenize(snake_case       )
		lowercase       =    rust_tokenizer.tokenize(snake_case       )
		self.assertListEqual(snake_case		,    snake_case       )

		lowercase       =    tokenizer.encode(snake_case		,    add_special_tokens=snake_case       )
		lowercase       =    rust_tokenizer.encode(snake_case		,    add_special_tokens=snake_case       )
		self.assertListEqual(snake_case		,    snake_case       )

		lowercase       =    self.get_rust_tokenizer()
		lowercase       =    tokenizer.encode(snake_case       )
		lowercase       =    rust_tokenizer.encode(snake_case       )
		self.assertListEqual(snake_case		,    snake_case       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    BasicTokenizer()

		self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'       )		,    ['ah', '\u535A', '\u63A8', 'zz']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    BasicTokenizer(do_lower_case=snake_case       )

		self.assertListEqual(
		    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '       )		,    ['hello', '!', 'how', 'are', 'you', '?']       )
		self.assertListEqual(tokenizer.tokenize('H\u00E9llo'       )		,    ['hello']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    BasicTokenizer(do_lower_case=snake_case		,    strip_accents=snake_case       )

		self.assertListEqual(
		    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )		,    ['hällo', '!', 'how', 'are', 'you', '?']       )
		self.assertListEqual(tokenizer.tokenize('H\u00E9llo'       )		,    ['h\u00E9llo']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    BasicTokenizer(do_lower_case=snake_case		,    strip_accents=snake_case       )

		self.assertListEqual(
		    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )		,    ['hallo', '!', 'how', 'are', 'you', '?']       )
		self.assertListEqual(tokenizer.tokenize('H\u00E9llo'       )		,    ['hello']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    BasicTokenizer(do_lower_case=snake_case       )

		self.assertListEqual(
		    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )		,    ['hallo', '!', 'how', 'are', 'you', '?']       )
		self.assertListEqual(tokenizer.tokenize('H\u00E9llo'       )		,    ['hello']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    BasicTokenizer(do_lower_case=snake_case       )

		self.assertListEqual(
		    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '       )		,    ['HeLLo', '!', 'how', 'Are', 'yoU', '?']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    BasicTokenizer(do_lower_case=snake_case		,    strip_accents=snake_case       )

		self.assertListEqual(
		    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )		,    ['HäLLo', '!', 'how', 'Are', 'yoU', '?']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    BasicTokenizer(do_lower_case=snake_case		,    strip_accents=snake_case       )

		self.assertListEqual(
		    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )		,    ['HaLLo', '!', 'how', 'Are', 'yoU', '?']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    BasicTokenizer(do_lower_case=snake_case		,    never_split=['[UNK]']       )

		self.assertListEqual(
		    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'       )		,    ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

		lowercase       =    {}
		for i, token in enumerate(snake_case       ):
			lowercase       =    i
		lowercase       =    WordpieceTokenizer(vocab=snake_case		,    unk_token='[UNK]'       )

		self.assertListEqual(tokenizer.tokenize(''       )		,    []       )

		self.assertListEqual(tokenizer.tokenize('unwanted running'       )		,    ['un', '##want', '##ed', 'runn', '##ing']       )

		self.assertListEqual(tokenizer.tokenize('unwantedX running'       )		,    ['[UNK]', 'runn', '##ing']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		self.assertTrue(_is_whitespace(' '       )       )
		self.assertTrue(_is_whitespace('\t'       )       )
		self.assertTrue(_is_whitespace('\r'       )       )
		self.assertTrue(_is_whitespace('\n'       )       )
		self.assertTrue(_is_whitespace('\u00A0'       )       )

		self.assertFalse(_is_whitespace('A'       )       )
		self.assertFalse(_is_whitespace('-'       )       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		self.assertTrue(_is_control('\u0005'       )       )

		self.assertFalse(_is_control('A'       )       )
		self.assertFalse(_is_control(' '       )       )
		self.assertFalse(_is_control('\t'       )       )
		self.assertFalse(_is_control('\r'       )       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		self.assertTrue(_is_punctuation('-'       )       )
		self.assertTrue(_is_punctuation('$'       )       )
		self.assertTrue(_is_punctuation('`'       )       )
		self.assertTrue(_is_punctuation('.'       )       )

		self.assertFalse(_is_punctuation('A'       )       )
		self.assertFalse(_is_punctuation(' '       )       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    self.get_tokenizer()
		lowercase       =    self.get_rust_tokenizer()

		# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
		self.assertListEqual([tokenizer.tokenize(snake_case       ) for t in ['Test', '\xad', 'test']]		,    [['[UNK]'], [], ['[UNK]']]       )

		self.assertListEqual(
		    [rust_tokenizer.tokenize(snake_case       ) for t in ['Test', '\xad', 'test']]		,    [['[UNK]'], [], ['[UNK]']]       )





	@slow
	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    self.tokenizer_class.from_pretrained('google/mobilebert-uncased'       )

		lowercase       =    tokenizer.encode('sequence builders'		,    add_special_tokens=snake_case       )
		lowercase       =    tokenizer.encode('multi-sequence build'		,    add_special_tokens=snake_case       )

		lowercase       =    tokenizer.build_inputs_with_special_tokens(snake_case       )
		lowercase       =    tokenizer.build_inputs_with_special_tokens(snake_case		,    snake_case       )

		assert encoded_sentence == [101] + text + [102]
		assert encoded_pair == [101] + text + [102] + text_a + [102]





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
			with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''       ):
				lowercase       =    self.rust_tokenizer_class.from_pretrained(snake_case		,    **snake_case       )

				lowercase       =    F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
				lowercase       =    tokenizer_r.encode_plus(
				    snake_case		,    return_attention_mask=snake_case		,    return_token_type_ids=snake_case		,    return_offsets_mapping=snake_case		,    add_special_tokens=snake_case		,    )

				lowercase       =    tokenizer_r.do_lower_case if hasattr(snake_case		,    'do_lower_case'       ) else False
				lowercase       =    (
				    [
				        ((0, 0), tokenizer_r.cls_token),
				        ((0, 1), 'A'),
				        ((1, 2), ','),
				        ((3, 5), 'na'),
				        ((5, 6), '##ï'),
				        ((6, 8), '##ve'),
				        ((9, 15), tokenizer_r.mask_token),
				        ((16, 21), 'Allen'),
				        ((21, 23), '##NL'),
				        ((23, 24), '##P'),
				        ((25, 33), 'sentence'),
				        ((33, 34), '.'),
				        ((0, 0), tokenizer_r.sep_token),
				    ]
				    if not do_lower_case
				    else [
				        ((0, 0), tokenizer_r.cls_token),
				        ((0, 1), 'a'),
				        ((1, 2), ','),
				        ((3, 8), 'naive'),
				        ((9, 15), tokenizer_r.mask_token),
				        ((16, 21), 'allen'),
				        ((21, 23), '##nl'),
				        ((23, 24), '##p'),
				        ((25, 33), 'sentence'),
				        ((33, 34), '.'),
				        ((0, 0), tokenizer_r.sep_token),
				    ]
				)

				self.assertEqual(
				    [e[1] for e in expected_results]		,    tokenizer_r.convert_ids_to_tokens(tokens['input_ids']       )       )
				self.assertEqual([e[0] for e in expected_results]		,    tokens['offset_mapping']       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    ['的', '人', '有']
		lowercase       =    ''.join(snake_case       )
		for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
			with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''       ):
				lowercase       =    True
				lowercase       =    self.tokenizer_class.from_pretrained(snake_case		,    **snake_case       )
				lowercase       =    self.rust_tokenizer_class.from_pretrained(snake_case		,    **snake_case       )

				lowercase       =    tokenizer_p.encode(snake_case		,    add_special_tokens=snake_case       )
				lowercase       =    tokenizer_r.encode(snake_case		,    add_special_tokens=snake_case       )

				lowercase       =    tokenizer_r.convert_ids_to_tokens(snake_case       )
				lowercase       =    tokenizer_p.convert_ids_to_tokens(snake_case       )

				# it is expected that each Chinese character is not preceded by "##"
				self.assertListEqual(snake_case		,    snake_case       )
				self.assertListEqual(snake_case		,    snake_case       )

				lowercase       =    False
				lowercase       =    self.rust_tokenizer_class.from_pretrained(snake_case		,    **snake_case       )
				lowercase       =    self.tokenizer_class.from_pretrained(snake_case		,    **snake_case       )

				lowercase       =    tokenizer_r.encode(snake_case		,    add_special_tokens=snake_case       )
				lowercase       =    tokenizer_p.encode(snake_case		,    add_special_tokens=snake_case       )

				lowercase       =    tokenizer_r.convert_ids_to_tokens(snake_case       )
				lowercase       =    tokenizer_p.convert_ids_to_tokens(snake_case       )

				# it is expected that only the first Chinese character is not preceded by "##".
				lowercase       =    [
				    F'''##{token}''' if idx != 0 else token for idx, token in enumerate(snake_case       )
				]
				self.assertListEqual(snake_case		,    snake_case       )
				self.assertListEqual(snake_case		,    snake_case       )



import unittest
from pathlib import Path
from tempfile import NamedTemporaryFile, TemporaryDirectory

from transformers import BertConfig, BertTokenizerFast, FeatureExtractionPipeline
from transformers.convert_graph_to_onnx import (
    convert,
    ensure_valid_input,
    generate_identified_filename,
    infer_shapes,
    quantize,
)
from transformers.testing_utils import require_tf, require_tokenizers, require_torch, slow







class        A_   :




	'''simple docstring'''


	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case		,    snake_case       ):
		return None







class        A_   :




	'''simple docstring'''


	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case		,    snake_case		,    snake_case       ):
		return None







class        A_   (			unittest.TestCase   ):




	'''simple docstring'''


	_UpperCamelCase     :     Tuple							 =       [
	    # (model_name, model_kwargs)
	    ("""bert-base-cased""", {}),
	    ("""gpt2""", {"""use_cache""": False}),  # We don't support exporting GPT2 past keys anymore
	]





	@require_tf
	@slow
	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		for model, model_kwargs in OnnxExportTestCase.MODEL_TO_TEST:
			self._test_export(snake_case		,    'tf'		,    12		,    **snake_case       )





	@require_torch
	@slow
	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		for model, model_kwargs in OnnxExportTestCase.MODEL_TO_TEST:
			self._test_export(snake_case		,    'pt'		,    12		,    **snake_case       )





	@require_torch
	@slow
	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		from transformers import BertModel

		lowercase       =    ['[UNK]', '[SEP]', '[CLS]', '[PAD]', '[MASK]', 'some', 'other', 'words']
		with NamedTemporaryFile(mode='w+t'       ) as vocab_file:
			vocab_file.write('\n'.join(snake_case       )       )
			vocab_file.flush()
			lowercase       =    BertTokenizerFast(vocab_file.name       )

		with TemporaryDirectory() as bert_save_dir:
			lowercase       =    BertModel(BertConfig(vocab_size=len(snake_case       )       )       )
			model.save_pretrained(snake_case       )
			self._test_export(snake_case		,    'pt'		,    12		,    snake_case       )





	@require_tf
	@slow
	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		for model, model_kwargs in OnnxExportTestCase.MODEL_TO_TEST:
			lowercase       =    self._test_export(snake_case		,    'tf'		,    12		,    **snake_case       )
			lowercase       =    quantize(Path(snake_case       )       )

			# Ensure the actual quantized model is not bigger than the original one
			if quantized_path.stat().st_size >= Path(snake_case       ).stat().st_size:
				self.fail('Quantized model is bigger than initial ONNX model'       )





	@require_torch
	@slow
	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		for model, model_kwargs in OnnxExportTestCase.MODEL_TO_TEST:
			lowercase       =    self._test_export(snake_case		,    'pt'		,    12		,    **snake_case       )
			lowercase       =    quantize(snake_case       )

			# Ensure the actual quantized model is not bigger than the original one
			if quantized_path.stat().st_size >= Path(snake_case       ).stat().st_size:
				self.fail('Quantized model is bigger than initial ONNX model'       )





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case		,    snake_case		,    snake_case=None		,    **snake_case       ):
		try:
			# Compute path
			with TemporaryDirectory() as tempdir:
				lowercase       =    Path(snake_case       ).joinpath('model.onnx'       )

			# Remove folder if exists
			if path.parent.exists():
				path.parent.rmdir()

			# Export
			convert(snake_case		,    snake_case		,    snake_case		,    snake_case		,    snake_case		,    **snake_case       )

			return path
		except Exception as e:
			self.fail(snake_case       )





	@require_torch
	@require_tokenizers
	@slow
	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		from transformers import BertModel

		lowercase       =    BertModel(BertConfig.from_pretrained('lysandre/tiny-bert-random'       )       )
		lowercase       =    BertTokenizerFast.from_pretrained('lysandre/tiny-bert-random'       )
		self._test_infer_dynamic_axis(snake_case		,    snake_case		,    'pt'       )





	@require_tf
	@require_tokenizers
	@slow
	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		from transformers import TFBertModel

		lowercase       =    TFBertModel(BertConfig.from_pretrained('lysandre/tiny-bert-random'       )       )
		lowercase       =    BertTokenizerFast.from_pretrained('lysandre/tiny-bert-random'       )
		self._test_infer_dynamic_axis(snake_case		,    snake_case		,    'tf'       )





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case		,    snake_case       ):
		lowercase       =    FeatureExtractionPipeline(snake_case		,    snake_case       )

		lowercase       =    ['input_ids', 'token_type_ids', 'attention_mask', 'output_0', 'output_1']
		lowercase  ,					lowercase  ,					lowercase  ,					lowercase       =    infer_shapes(snake_case		,    snake_case       )

		# Assert all variables are present
		self.assertEqual(len(snake_case       )		,    len(snake_case       )       )
		self.assertTrue(all(var_name in shapes for var_name in variable_names       )       )
		self.assertSequenceEqual(variable_names[:3]		,    snake_case       )
		self.assertSequenceEqual(variable_names[3:]		,    snake_case       )

		# Assert inputs are {0: batch, 1: sequence}
		for var_name in ["input_ids", "token_type_ids", "attention_mask"]:
			self.assertDictEqual(shapes[var_name]		,    {0: 'batch', 1: 'sequence'}       )

		# Assert outputs are {0: batch, 1: sequence} and {0: batch}
		self.assertDictEqual(shapes['output_0']		,    {0: 'batch', 1: 'sequence'}       )
		self.assertDictEqual(shapes['output_1']		,    {0: 'batch'}       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    ['input_ids', 'attention_mask', 'token_type_ids']
		lowercase       =    {'input_ids': [1, 2, 3, 4], 'attention_mask': [0, 0, 0, 0], 'token_type_ids': [1, 1, 1, 1]}
		lowercase  ,					lowercase       =    ensure_valid_input(FuncContiguousArgs()		,    snake_case		,    snake_case       )

		# Should have exactly the same number of args (all are valid)
		self.assertEqual(len(snake_case       )		,    3       )

		# Should have exactly the same input names
		self.assertEqual(set(snake_case       )		,    set(snake_case       )       )

		# Parameter should be reordered according to their respective place in the function:
		# (input_ids, token_type_ids, attention_mask)
		self.assertEqual(snake_case		,    (tokens['input_ids'], tokens['token_type_ids'], tokens['attention_mask'])       )

		# Generated args are interleaved with another args (for instance parameter "past" in GPT2)
		lowercase  ,					lowercase       =    ensure_valid_input(FuncNonContiguousArgs()		,    snake_case		,    snake_case       )

		# Should have exactly the one arg (all before the one not provided "some_other_args")
		self.assertEqual(len(snake_case       )		,    1       )
		self.assertEqual(len(snake_case       )		,    1       )

		# Should have only "input_ids"
		self.assertEqual(inputs_args[0]		,    tokens['input_ids']       )
		self.assertEqual(ordered_input_names[0]		,    'input_ids'       )





	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    generate_identified_filename(Path('/home/something/my_fake_model.onnx'       )		,    '-test'       )
		self.assertEqual('/home/something/my_fake_model-test.onnx'		,    generated.as_posix()       )

