


import os
import sys
import unittest


_lowerCamelCase     =  os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


_lowerCamelCase     =  os.path.join('tests', 'models', 'bert', 'test_modeling_bert.py')
_lowerCamelCase     =  os.path.join('tests', 'models', 'blip', 'test_modeling_blip.py')


class 			lowerCamelCase_		(			unittest.TestCase   ):





				"""simple docstring"""







				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				get_test_to_tester_mapping(UpperCamelCase_     )
								SCREAMING_SNAKE_CASE__     							=				get_test_to_tester_mapping(UpperCamelCase_     )

								SCREAMING_SNAKE_CASE__     							=				{"BertModelTest": "BertModelTester"}

								SCREAMING_SNAKE_CASE__     							=				{
								    "BlipModelTest": "BlipModelTester",
								    "BlipTextImageModelTest": "BlipTextImageModelsModelTester",
								    "BlipTextModelTest": "BlipTextModelTester",
								    "BlipTextRetrievalModelTest": "BlipTextRetrievalModelTester",
								    "BlipVQAModelTest": "BlipVQAModelTester",
								    "BlipVisionModelTest": "BlipVisionModelTester",
								}

								self.assertEqual(get_test_info.to_json(UpperCamelCase_     )       ,		UpperCamelCase_     )
								self.assertEqual(get_test_info.to_json(UpperCamelCase_     )       ,		UpperCamelCase_     )



				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				get_model_to_test_mapping(UpperCamelCase_     )
								SCREAMING_SNAKE_CASE__     							=				get_model_to_test_mapping(UpperCamelCase_     )

								SCREAMING_SNAKE_CASE__     							=				{
								    "BertForMaskedLM": ["BertModelTest"],
								    "BertForMultipleChoice": ["BertModelTest"],
								    "BertForNextSentencePrediction": ["BertModelTest"],
								    "BertForPreTraining": ["BertModelTest"],
								    "BertForQuestionAnswering": ["BertModelTest"],
								    "BertForSequenceClassification": ["BertModelTest"],
								    "BertForTokenClassification": ["BertModelTest"],
								    "BertLMHeadModel": ["BertModelTest"],
								    "BertModel": ["BertModelTest"],
								}

								SCREAMING_SNAKE_CASE__     							=				{
								    "BlipForConditionalGeneration": ["BlipTextImageModelTest"],
								    "BlipForImageTextRetrieval": ["BlipTextRetrievalModelTest"],
								    "BlipForQuestionAnswering": ["BlipVQAModelTest"],
								    "BlipModel": ["BlipModelTest"],
								    "BlipTextModel": ["BlipTextModelTest"],
								    "BlipVisionModel": ["BlipVisionModelTest"],
								}

								self.assertEqual(get_test_info.to_json(UpperCamelCase_     )       ,		UpperCamelCase_     )
								self.assertEqual(get_test_info.to_json(UpperCamelCase_     )       ,		UpperCamelCase_     )






				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				get_model_to_tester_mapping(UpperCamelCase_     )
								SCREAMING_SNAKE_CASE__     							=				get_model_to_tester_mapping(UpperCamelCase_     )

								SCREAMING_SNAKE_CASE__     							=				{
								    "BertForMaskedLM": ["BertModelTester"],
								    "BertForMultipleChoice": ["BertModelTester"],
								    "BertForNextSentencePrediction": ["BertModelTester"],
								    "BertForPreTraining": ["BertModelTester"],
								    "BertForQuestionAnswering": ["BertModelTester"],
								    "BertForSequenceClassification": ["BertModelTester"],
								    "BertForTokenClassification": ["BertModelTester"],
								    "BertLMHeadModel": ["BertModelTester"],
								    "BertModel": ["BertModelTester"],
								}

								SCREAMING_SNAKE_CASE__     							=				{
								    "BlipForConditionalGeneration": ["BlipTextImageModelsModelTester"],
								    "BlipForImageTextRetrieval": ["BlipTextRetrievalModelTester"],
								    "BlipForQuestionAnswering": ["BlipVQAModelTester"],
								    "BlipModel": ["BlipModelTester"],
								    "BlipTextModel": ["BlipTextModelTester"],
								    "BlipVisionModel": ["BlipVisionModelTester"],
								}

								self.assertEqual(get_test_info.to_json(UpperCamelCase_     )       ,		UpperCamelCase_     )
								self.assertEqual(get_test_info.to_json(UpperCamelCase_     )       ,		UpperCamelCase_     )




"""simple docstring"""






import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing


class 			lowerCamelCase_		(			lowercase   ):





				"""simple docstring"""







				def __init__(						self       ,		UpperCAmelCase__ = "▁"       ,		UpperCAmelCase__ = True       ,		UpperCAmelCase__ = "<unk>"       ,		UpperCAmelCase__ = "</s>"       ,		UpperCAmelCase__ = "<pad>"       ,		):
								SCREAMING_SNAKE_CASE__     							=				{
								    "pad": {"id": 0, "token": pad_token},
								    "eos": {"id": 1, "token": eos_token},
								    "unk": {"id": 2, "token": unk_token},
								}

								SCREAMING_SNAKE_CASE__     							=				[None] * len(self.special_tokens     )
								for token_dict in self.special_tokens.values():
												SCREAMING_SNAKE_CASE__     							=				token_dict["token"]

								SCREAMING_SNAKE_CASE__     							=				Tokenizer(Unigram()     )

								SCREAMING_SNAKE_CASE__     							=				normalizers.Sequence(
								    [
								        normalizers.Nmt(),
								        normalizers.NFKC(),
								        normalizers.Replace(Regex(" {2,}"     )       ,		" "     ),
								        normalizers.Lowercase(),
								    ]     )
								SCREAMING_SNAKE_CASE__     							=				pre_tokenizers.Sequence(
								    [
								        pre_tokenizers.Metaspace(replacement=UpperCAmelCase__       ,		add_prefix_space=UpperCAmelCase__     ),
								        pre_tokenizers.Digits(individual_digits=UpperCAmelCase__     ),
								        pre_tokenizers.Punctuation(),
								    ]     )
								SCREAMING_SNAKE_CASE__     							=				decoders.Metaspace(replacement=UpperCAmelCase__       ,		add_prefix_space=UpperCAmelCase__     )

								SCREAMING_SNAKE_CASE__     							=				TemplateProcessing(
								    single=f'''$A {self.special_tokens["eos"]["token"]}'''       ,		special_tokens=[(self.special_tokens["eos"]["token"], self.special_tokens["eos"]["id"])]       ,		)

								SCREAMING_SNAKE_CASE__     							=				{
								    "model": "SentencePieceUnigram",
								    "replacement": replacement,
								    "add_prefix_space": add_prefix_space,
								}

								super().__init__(UpperCAmelCase__       ,		UpperCAmelCase__     )



				def   lowerCAmelCase__		(						self       ,		UpperCAmelCase__       ,		UpperCAmelCase__ = 8000       ,		UpperCAmelCase__ = True       ,		):
								SCREAMING_SNAKE_CASE__     							=				trainers.UnigramTrainer(
								    vocab_size=UpperCAmelCase__       ,		special_tokens=self.special_tokens_list       ,		show_progress=UpperCAmelCase__       ,		)

								if isinstance(UpperCAmelCase__       ,		UpperCAmelCase__     ):
												SCREAMING_SNAKE_CASE__     							=				[files]
								self._tokenizer.train(UpperCAmelCase__       ,		trainer=UpperCAmelCase__     )

								self.add_unk_id()



				def   lowerCAmelCase__		(						self       ,		UpperCAmelCase__       ,		UpperCAmelCase__ = 8000       ,		UpperCAmelCase__ = True       ,		):
								SCREAMING_SNAKE_CASE__     							=				trainers.UnigramTrainer(
								    vocab_size=UpperCAmelCase__       ,		special_tokens=self.special_tokens_list       ,		show_progress=UpperCAmelCase__       ,		)

								self._tokenizer.train_from_iterator(UpperCAmelCase__       ,		trainer=UpperCAmelCase__     )

								self.add_unk_id()






				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				json.loads(self._tokenizer.to_str()     )

								SCREAMING_SNAKE_CASE__     							=				self.special_tokens["unk"]["id"]

								SCREAMING_SNAKE_CASE__     							=				Tokenizer.from_str(json.dumps(UpperCAmelCase__     )     )
