





'''simple docstring'''


import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class       a_   (				_lowerCAmelCase	,						unittest.TestCase							):
     __A      =			RobertaTokenizer
     __A      =			RobertaTokenizerFast
     __A      =			True
     __A      =			{"cls_token": "<s>"}





     def 							lowercase__      ( self		:					Dict						):





        """simple docstring"""




        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        lowercase_			:List[Any]    			= [
            "l",
            "o",
            "w",
            "e",
            "r",
            "s",
            "t",
            "i",
            "d",
            "n",
            "\u0120",
            "\u0120l",
            "\u0120n",
            "\u0120lo",
            "\u0120low",
            "er",
            "\u0120lowest",
            "\u0120newer",
            "\u0120wider",
            "<unk>",
        ]
        lowercase_			:List[Any]    			= dict(zip(lowercase	,      range(len(lowercase						)						)						)						)
        lowercase_			:Optional[Any]    			= ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
        lowercase_			:Union[str, Any]    			= {"unk_token": "<unk>"}

        lowercase_			:Tuple    			= os.path.join(self.tmpdirname	,      VOCAB_FILES_NAMES["vocab_file"]						)
        lowercase_			:Union[str, Any]    			= os.path.join(self.tmpdirname	,      VOCAB_FILES_NAMES["merges_file"]						)
        with open(self.vocab_file	,      "w"	,      encoding="utf-8"						) as fp:
           fp.write(json.dumps(lowercase						) + "\n"						)
        with open(self.merges_file	,      "w"	,      encoding="utf-8"						) as fp:
           fp.write("\n".join(lowercase						)						)





     def 							lowercase__      ( self		:					str	,      **lowercase		:					List[str]						):





        """simple docstring"""




        kwargs.update(self.special_tokens_map						)
        return self.tokenizer_class.from_pretrained(self.tmpdirname	,      **lowercase						)





     def 							lowercase__      ( self		:					int	,      **lowercase		:					int						):





        """simple docstring"""




        kwargs.update(self.special_tokens_map						)
        return RobertaTokenizerFast.from_pretrained(self.tmpdirname	,      **lowercase						)





     def 							lowercase__      ( self		:					Optional[int]	,      lowercase		:					List[Any]						):





        """simple docstring"""




        lowercase_			:List[str]    			= "lower newer"
        lowercase_			:Any    			= "lower newer"
        return input_text, output_text





     def 							lowercase__      ( self		:					int						):





        """simple docstring"""




        lowercase_			:List[Any]    			= self.tokenizer_class(self.vocab_file	,      self.merges_file	,      **self.special_tokens_map						)
        lowercase_			:Dict    			= "lower newer"
        lowercase_			:Dict    			= ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
        lowercase_			:int    			= tokenizer.tokenize(lowercase						)  # , add_prefix_space=True)
        self.assertListEqual(lowercase	,      lowercase						)

        lowercase_			:Optional[Any]    			= tokens + [tokenizer.unk_token]
        lowercase_			:Any    			= [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase						)	,      lowercase						)





     def 							lowercase__      ( self		:					Dict						):





        """simple docstring"""




        lowercase_			:Dict    			= self.get_tokenizer()

        self.assertListEqual(tokenizer.encode("Hello world!"	,      add_special_tokens=lowercase						)	,      [0, 31_414, 232, 328, 2]						)
        self.assertListEqual(
            tokenizer.encode("Hello world! cécé herlolip 418"	,      add_special_tokens=lowercase						)	,      [0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]	,      )





     @slow
     def 							lowercase__      ( self		:					List[str]						):





        """simple docstring"""




        lowercase_			:Optional[Any]    			= self.tokenizer_class.from_pretrained("roberta-base"						)

        lowercase_			:Any    			= tokenizer.encode("sequence builders"	,      add_special_tokens=lowercase						)
        lowercase_			:str    			= tokenizer.encode("multi-sequence build"	,      add_special_tokens=lowercase						)

        lowercase_			:int    			= tokenizer.encode(
            "sequence builders"	,      add_special_tokens=lowercase	,      add_prefix_space=lowercase						)
        lowercase_			:Optional[int]    			= tokenizer.encode(
            "sequence builders"	,      "multi-sequence build"	,      add_special_tokens=lowercase	,      add_prefix_space=lowercase						)

        lowercase_			:str    			= tokenizer.build_inputs_with_special_tokens(lowercase						)
        lowercase_			:Optional[int]    			= tokenizer.build_inputs_with_special_tokens(lowercase	,      lowercase						)

        assert encoded_sentence == encoded_text_from_decode
        assert encoded_pair == encoded_pair_from_decode





     def 							lowercase__      ( self		:					Optional[int]						):





        """simple docstring"""




        lowercase_			:Optional[int]    			= self.get_tokenizer()

        lowercase_			:str    			= "Encode this sequence."
        lowercase_			:Tuple    			= tokenizer.byte_encoder[" ".encode("utf-8"						)[0]]

        # Testing encoder arguments
        lowercase_			:List[str]    			= tokenizer.encode(lowercase	,      add_special_tokens=lowercase	,      add_prefix_space=lowercase						)
        lowercase_			:List[Any]    			= tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
        self.assertNotEqual(lowercase	,      lowercase						)

        lowercase_			:List[str]    			= tokenizer.encode(lowercase	,      add_special_tokens=lowercase	,      add_prefix_space=lowercase						)
        lowercase_			:List[Any]    			= tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
        self.assertEqual(lowercase	,      lowercase						)

        tokenizer.add_special_tokens({"bos_token": "<s>"}						)
        lowercase_			:List[str]    			= tokenizer.encode(lowercase	,      add_special_tokens=lowercase						)
        lowercase_			:Optional[int]    			= tokenizer.convert_ids_to_tokens(encoded[1]						)[0]
        self.assertNotEqual(lowercase	,      lowercase						)

        # Testing spaces after special tokens
        lowercase_			:Union[str, Any]    			= "<mask>"
        tokenizer.add_special_tokens(
            {"mask_token": AddedToken(lowercase	,      lstrip=lowercase	,      rstrip=lowercase						)}						)  # mask token has a left space
        lowercase_			:Any    			= tokenizer.convert_tokens_to_ids(lowercase						)

        lowercase_			:Tuple    			= "Encode <mask> sequence"
        lowercase_			:int    			= "Encode <mask>sequence"

        lowercase_			:str    			= tokenizer.encode(lowercase						)
        lowercase_			:Any    			= encoded.index(lowercase						)
        lowercase_			:Dict    			= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
        self.assertEqual(lowercase	,      lowercase						)

        lowercase_			:str    			= tokenizer.encode(lowercase						)
        lowercase_			:int    			= encoded.index(lowercase						)
        lowercase_			:Optional[int]    			= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
        self.assertNotEqual(lowercase	,      lowercase						)





     def 							lowercase__      ( self		:					Optional[Any]						):





        """simple docstring"""




        pass





     def 							lowercase__      ( self		:					Dict						):





        """simple docstring"""




        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'						):
              lowercase_			:List[Any]    			= self.rust_tokenizer_class.from_pretrained(lowercase	,      **lowercase						)
              lowercase_			:Dict    			= self.tokenizer_class.from_pretrained(lowercase	,      **lowercase						)
              lowercase_			:str    			= "A, <mask> AllenNLP sentence."
              lowercase_			:Tuple    			= tokenizer_r.encode_plus(lowercase	,      add_special_tokens=lowercase	,      return_token_type_ids=lowercase						)
              lowercase_			:str    			= tokenizer_p.encode_plus(lowercase	,      add_special_tokens=lowercase	,      return_token_type_ids=lowercase						)

              # token_type_ids should put 0 everywhere
              self.assertEqual(sum(tokens_r["token_type_ids"]						)	,      sum(tokens_p["token_type_ids"]						)						)

              # attention_mask should put 1 everywhere, so sum over length should be 1
              self.assertEqual(
                  sum(tokens_r["attention_mask"]						) / len(tokens_r["attention_mask"]						)	,      sum(tokens_p["attention_mask"]						) / len(tokens_p["attention_mask"]						)	,      )

              lowercase_			:Any    			= tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]						)
              lowercase_			:Union[str, Any]    			= tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"]						)

              # Rust correctly handles the space before the mask while python doesnt
              self.assertSequenceEqual(tokens_p["input_ids"]	,      [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]						)
              self.assertSequenceEqual(tokens_r["input_ids"]	,      [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]						)

              self.assertSequenceEqual(
                  lowercase	,      ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]						)
              self.assertSequenceEqual(
                  lowercase	,      ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]						)





     def 							lowercase__      ( self		:					Dict						):





        """simple docstring"""




        for trim_offsets, add_prefix_space in itertools.product([True, False]	,      repeat=2						):
           lowercase_			:List[Any]    			= self.rust_tokenizer_class.from_pretrained(
               self.tmpdirname	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)

           lowercase_			:int    			= json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()						)
           lowercase_			:Any    			= json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()						)

           self.assertEqual(pre_tokenizer_state["add_prefix_space"]	,      lowercase						)

           self.assertEqual(post_processor_state["add_prefix_space"]	,      lowercase						)
           self.assertEqual(post_processor_state["trim_offsets"]	,      lowercase						)







     def 							lowercase__      ( self		:					Optional[Any]						):





        """simple docstring"""




        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'						):
              lowercase_			:Tuple    			= "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
              lowercase_			:Optional[Any]    			= F'{text_of_1_token} {text_of_1_token}'

              lowercase_			:int    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Optional[int]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (len(lowercase						) + 1, len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Dict    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:List[Any]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (len(lowercase						) + 1, len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Any    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Optional[Any]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (len(lowercase						), len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:List[str]    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:List[Any]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (len(lowercase						), len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Dict    			= F' {text}'

              # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
              #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
              # )
              # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
              # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
              # self.assertEqual(
              #     encoding.offset_mapping[1],
              #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
              # )

              lowercase_			:Optional[Any]    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Optional[Any]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (1, 1 + len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (1 + len(lowercase						) + 1, 1 + len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Union[str, Any]    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Dict    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, 1 + len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (1 + len(lowercase						), 1 + len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Optional[int]    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Dict    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, 1 + len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (1 + len(lowercase						), 1 + len(lowercase						) + 1 + len(lowercase						))	,      )









'''simple docstring'''


import unittest

import numpy as np

from transformers import BertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask


if is_flax_available():
 from transformers.models.bert.modeling_flax_bert import (
     FlaxBertForMaskedLM,
     FlaxBertForMultipleChoice,
     FlaxBertForNextSentencePrediction,
     FlaxBertForPreTraining,
     FlaxBertForQuestionAnswering,
     FlaxBertForSequenceClassification,
     FlaxBertForTokenClassification,
     FlaxBertModel,
 )
class       a_   (				unittest.TestCase							):





     def __init__( self		:					List[str]	,      lowercase		:					str	,      lowercase		:					Union[str, Any]=13	,      lowercase		:					int=7	,      lowercase		:					List[str]=True	,      lowercase		:					int=True	,      lowercase		:					str=True	,      lowercase		:					Any=True	,      lowercase		:					List[str]=99	,      lowercase		:					Union[str, Any]=32	,      lowercase		:					Optional[Any]=5	,      lowercase		:					Dict=4	,      lowercase		:					Dict=37	,      lowercase		:					Dict="gelu"	,      lowercase		:					Optional[int]=0.1	,      lowercase		:					str=0.1	,      lowercase		:					List[Any]=512	,      lowercase		:					str=16	,      lowercase		:					Dict=2	,      lowercase		:					Any=0.02	,      lowercase		:					Any=4	,      ):





        """simple docstring"""




        lowercase_			:List[str]    			= parent
        lowercase_			:Any    			= batch_size
        lowercase_			:Dict    			= seq_length
        lowercase_			:Union[str, Any]    			= is_training
        lowercase_			:Optional[int]    			= use_attention_mask
        lowercase_			:Any    			= use_token_type_ids
        lowercase_			:Union[str, Any]    			= use_labels
        lowercase_			:Dict    			= vocab_size
        lowercase_			:Tuple    			= hidden_size
        lowercase_			:Tuple    			= num_hidden_layers
        lowercase_			:Optional[int]    			= num_attention_heads
        lowercase_			:Optional[Any]    			= intermediate_size
        lowercase_			:str    			= hidden_act
        lowercase_			:Tuple    			= hidden_dropout_prob
        lowercase_			:Optional[Any]    			= attention_probs_dropout_prob
        lowercase_			:Tuple    			= max_position_embeddings
        lowercase_			:Any    			= type_vocab_size
        lowercase_			:int    			= type_sequence_label_size
        lowercase_			:Tuple    			= initializer_range
        lowercase_			:Optional[Any]    			= num_choices





     def 							lowercase__      ( self		:					List[Any]						):





        """simple docstring"""




        lowercase_			:int    			= ids_tensor([self.batch_size, self.seq_length]	,      self.vocab_size						)

        lowercase_			:Union[str, Any]    			= None
        if self.use_attention_mask:
           lowercase_			:Dict    			= random_attention_mask([self.batch_size, self.seq_length]						)

        lowercase_			:List[str]    			= None
        if self.use_token_type_ids:
           lowercase_			:str    			= ids_tensor([self.batch_size, self.seq_length]	,      self.type_vocab_size						)

        lowercase_			:Optional[Any]    			= BertConfig(
            vocab_size=self.vocab_size	,      hidden_size=self.hidden_size	,      num_hidden_layers=self.num_hidden_layers	,      num_attention_heads=self.num_attention_heads	,      intermediate_size=self.intermediate_size	,      hidden_act=self.hidden_act	,      hidden_dropout_prob=self.hidden_dropout_prob	,      attention_probs_dropout_prob=self.attention_probs_dropout_prob	,      max_position_embeddings=self.max_position_embeddings	,      type_vocab_size=self.type_vocab_size	,      is_decoder=lowercase	,      initializer_range=self.initializer_range	,      )

        return config, input_ids, token_type_ids, attention_mask





     def 							lowercase__      ( self		:					Union[str, Any]						):





        """simple docstring"""




        lowercase_			:int    			= self.prepare_config_and_inputs()
        lowercase_			,							lowercase_			,							lowercase_			,							lowercase_			:Tuple    			= config_and_inputs
        lowercase_			:Tuple    			= {"input_ids": input_ids, "token_type_ids": token_type_ids, "attention_mask": attention_mask}
        return config, inputs_dict







     def 							lowercase__      ( self		:					List[Any]						):





        """simple docstring"""




        lowercase_			:Any    			= self.prepare_config_and_inputs()
        lowercase_			,							lowercase_			,							lowercase_			,							lowercase_			:Union[str, Any]    			= config_and_inputs

        lowercase_			:Dict    			= True
        lowercase_			:Optional[int]    			= floats_tensor([self.batch_size, self.seq_length, self.hidden_size]						)
        lowercase_			:str    			= ids_tensor([self.batch_size, self.seq_length]	,      vocab_size=2						)

        return (
            config,
            input_ids,
            attention_mask,
            encoder_hidden_states,
            encoder_attention_mask,
        )







@require_flax
class       a_   (				_lowerCAmelCase	,						unittest.TestCase							):
     __A      =			True

     __A      =			(
         (
             FlaxBertModel,
             FlaxBertForPreTraining,
             FlaxBertForMaskedLM,
             FlaxBertForMultipleChoice,
             FlaxBertForQuestionAnswering,
             FlaxBertForNextSentencePrediction,
             FlaxBertForSequenceClassification,
             FlaxBertForTokenClassification,
             FlaxBertForQuestionAnswering,
         )
         if is_flax_available()
         else ()
     )





     def 							lowercase__      ( self		:					Any						):





        """simple docstring"""




        lowercase_			:Optional[Any]    			= FlaxBertModelTester(self						)







     @slow
     def 							lowercase__      ( self		:					List[str]						):





        """simple docstring"""




        lowercase_			:List[str]    			= FlaxBertModel.from_pretrained("bert-base-cased"						)
        lowercase_			:str    			= model(np.ones((1, 1)						)						)
        self.assertIsNotNone(lowercase						)


