
"""simple docstring"""





import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin





class 				a ( _SCREAMING_SNAKE_CASE,    unittest.TestCase							):





       """simple docstring"""







       A__       :							Optional[Any]    				=				ProphetNetTokenizer
       A__       :							Optional[int]    				=				False






       def 				__A						(			self			)    ->				List[Any]:
          super().setUp()

          _UpperCAmelCase         =      [
              "[UNK]",
              "[CLS]",
              "[SEP]",
              "[PAD]",
              "[MASK]",
              "want",
              "##want",
              "##ed",
              "wa",
              "un",
              "runn",
              "##ing",
              ",",
              "low",
              "lowest",
          ]
          _UpperCAmelCase         =      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]			)			)






       def 				__A						(			self							,	snake_case_			)    ->				Tuple:
          _UpperCAmelCase         =      "UNwant\u00E9d,running"
          _UpperCAmelCase         =      "unwanted, running"
          return input_text, output_text






       def 				__A						(			self			)    ->				Optional[Any]:
          _UpperCAmelCase         =      self.tokenizer_class(self.vocab_file			)

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






       def 				__A						(			self			)    ->				Any:
          _UpperCAmelCase         =      BasicTokenizer()

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






       def 				__A						(			self			)    ->				Any:
          _UpperCAmelCase         =      BasicTokenizer(do_lower_case=__UpperCamelCase			)

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






       def 				__A						(			self			)    ->				Any:
          _UpperCAmelCase         =      BasicTokenizer(do_lower_case=__UpperCamelCase							,	strip_accents=__UpperCamelCase			)

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






       def 				__A						(			self			)    ->				List[str]:
          _UpperCAmelCase         =      BasicTokenizer(do_lower_case=__UpperCamelCase							,	strip_accents=__UpperCamelCase			)

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






       def 				__A						(			self			)    ->				Any:
          _UpperCAmelCase         =      BasicTokenizer(do_lower_case=__UpperCamelCase			)

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






       def 				__A						(			self			)    ->				Optional[Any]:
          _UpperCAmelCase         =      BasicTokenizer(do_lower_case=__UpperCamelCase			)

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






       def 				__A						(			self			)    ->				Union[str, Any]:
          _UpperCAmelCase         =      BasicTokenizer(do_lower_case=__UpperCamelCase							,	strip_accents=__UpperCamelCase			)

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






       def 				__A						(			self			)    ->				Any:
          _UpperCAmelCase         =      BasicTokenizer(do_lower_case=__UpperCamelCase							,	strip_accents=__UpperCamelCase			)

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






       def 				__A						(			self			)    ->				List[Any]:
          _UpperCAmelCase         =      BasicTokenizer(do_lower_case=__UpperCamelCase							,	never_split=["[UNK]"]			)

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






       def 				__A						(			self			)    ->				str:
          _UpperCAmelCase         =      ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

          _UpperCAmelCase         =      {}
          for i, token in enumerate(__UpperCamelCase			):
             _UpperCAmelCase         =      i
          _UpperCAmelCase         =      WordpieceTokenizer(vocab=__UpperCamelCase							,	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"]			)






       @require_torch
       def 				__A						(			self			)    ->				str:
          _UpperCAmelCase         =      self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"			)

          _UpperCAmelCase         =      ["A long paragraph for summarization.", "Another paragraph for summarization."]
          _UpperCAmelCase         =      [1037, 2146, 20423, 2005, 7680, 7849, 3989, 1012, 102]
          _UpperCAmelCase         =      tokenizer(__UpperCamelCase							,	padding=__UpperCamelCase							,	return_tensors="pt"			)
          self.assertIsInstance(__UpperCamelCase							,	__UpperCamelCase			)
          _UpperCAmelCase         =      list(batch.input_ids.numpy()[0]			)
          self.assertListEqual(__UpperCamelCase							,	__UpperCamelCase			)

          self.assertEqual((2, 9)							,	batch.input_ids.shape			)
          self.assertEqual((2, 9)							,	batch.attention_mask.shape			)






       def 				__A						(			self			)    ->				Optional[int]:
          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 				__A						(			self			)    ->				str:
          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 				__A						(			self			)    ->				List[str]:
          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(" "			)			)






       @slow
       def 				__A						(			self			)    ->				Optional[Any]:
          _UpperCAmelCase         =      self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"			)

          _UpperCAmelCase         =      tokenizer.encode("sequence builders"							,	add_special_tokens=__UpperCamelCase			)
          _UpperCAmelCase         =      tokenizer.encode("multi-sequence build"							,	add_special_tokens=__UpperCamelCase			)

          _UpperCAmelCase         =      tokenizer.build_inputs_with_special_tokens(__UpperCamelCase			)
          _UpperCAmelCase         =      tokenizer.build_inputs_with_special_tokens(__UpperCamelCase							,	__UpperCamelCase			)

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



from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase   =	logging.get_logger(__name__)

lowercase   =	{
    '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json''',
}





class    __A(					UpperCAmelCase							):
					SCREAMING_SNAKE_CASE           =     '''gpt_neox_japanese'''

					def __init__(						self       :  Union[str, Any] ,       __UpperCamelCase       :  str=3_2_0_0_0 ,       __UpperCamelCase       :  List[Any]=2_5_6_0 ,       __UpperCamelCase       :  Any=3_2 ,       __UpperCamelCase       :  List[str]=3_2 ,       __UpperCamelCase       :  List[str]=4 ,       __UpperCamelCase       :  Dict="gelu" ,       __UpperCamelCase       :  List[Any]=1.00 ,       __UpperCamelCase       :  Any=1_0_0_0_0 ,       __UpperCamelCase       :  Optional[Any]=2_0_4_8 ,       __UpperCamelCase       :  Tuple=0.02 ,       __UpperCamelCase       :  List[str]=1E-5 ,       __UpperCamelCase       :  str=True ,       __UpperCamelCase       :  str=3_1_9_9_6 ,       __UpperCamelCase       :  int=3_1_9_9_9 ,       __UpperCamelCase       :  Optional[Any]=0.1 ,       __UpperCamelCase       :  Tuple=0.0 ,       **__UpperCamelCase       :  List[str] ,       ):
												super().__init__(bos_token_id=__UpperCamelCase ,       eos_token_id=__UpperCamelCase ,       **__UpperCamelCase )
												lowerCamelCase_					=       vocab_size
												lowerCamelCase_					=       max_position_embeddings
												lowerCamelCase_					=       hidden_size
												lowerCamelCase_					=       num_hidden_layers
												lowerCamelCase_					=       num_attention_heads
												lowerCamelCase_					=       intermediate_multiple_size
												lowerCamelCase_					=       hidden_act
												lowerCamelCase_					=       rotary_pct
												lowerCamelCase_					=       rotary_emb_base
												lowerCamelCase_					=       initializer_range
												lowerCamelCase_					=       layer_norm_eps
												lowerCamelCase_					=       use_cache
												lowerCamelCase_					=       attention_dropout
												lowerCamelCase_					=       hidden_dropout





