
import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class   lowerCamelCase	(						A_							,				unittest.TestCase						):
     UpperCAmelCase__       :							Optional[Any]     =	OpenAIGPTTokenizer
     UpperCAmelCase__       :							List[str]     =	OpenAIGPTTokenizerFast
     UpperCAmelCase__       :							Dict     =	True
     UpperCAmelCase__       :							Optional[Any]     =	False





     def 	UpperCAmelCase(self   :					int     )		->		Dict:
         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         snake_case				  =      [
             "l",
             "o",
             "w",
             "e",
             "r",
             "s",
             "t",
             "i",
             "d",
             "n",
             "w</w>",
             "r</w>",
             "t</w>",
             "lo",
             "low",
             "er</w>",
             "low</w>",
             "lowest</w>",
             "newer</w>",
             "wider</w>",
             "<unk>",
         ]
         snake_case				  =      dict(zip(_A       ,					range(len(_A     )     )     )     )
         snake_case				  =      ["#version: 0.2", "l o", "lo w", "e r</w>", ""]

         snake_case				  =      os.path.join(self.tmpdirname       ,					VOCAB_FILES_NAMES["vocab_file"]     )
         snake_case				  =      os.path.join(self.tmpdirname       ,					VOCAB_FILES_NAMES["merges_file"]     )
         with open(self.vocab_file       ,					"w"     ) as fp:
             fp.write(json.dumps(_A     )     )
         with open(self.merges_file       ,					"w"     ) as fp:
             fp.write("\n".join(_A     )     )





     def 	UpperCAmelCase(self   :					Optional[Any]       ,					_A   :					Tuple     )		->		int:
         return "lower newer", "lower newer"





     def 	UpperCAmelCase(self   :					str     )		->		Union[str, Any]:
         snake_case				  =      OpenAIGPTTokenizer(self.vocab_file       ,					self.merges_file     )

         snake_case				  =      "lower"
         snake_case				  =      ["low", "er</w>"]
         snake_case				  =      tokenizer.tokenize(_A     )
         self.assertListEqual(_A       ,					_A     )

         snake_case				  =      tokens + ["<unk>"]
         snake_case				  =      [1_4, 1_5, 2_0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_A     )       ,					_A     )





     def 	UpperCAmelCase(self   :					Any       ,					_A   :					Any=1_5     )		->		List[Any]:
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'     ):
                 snake_case				  =      self.rust_tokenizer_class.from_pretrained(_A       ,					**_A     )

                 # Simple input
                 snake_case				  =      "This is a simple input"
                 snake_case				  =      ["This is a simple input 1", "This is a simple input 2"]
                 snake_case				  =      ("This is a simple input", "This is a pair")
                 snake_case				  =      [
                     ("This is a simple input 1", "This is a simple input 2"),
                     ("This is a simple pair 1", "This is a simple pair 2"),
                 ]

                 # Simple input tests
                 self.assertRaises(_A       ,					tokenizer_r.encode       ,					_A       ,					max_length=_A       ,					padding="max_length"     )

                 # Simple input
                 self.assertRaises(_A       ,					tokenizer_r.encode_plus       ,					_A       ,					max_length=_A       ,					padding="max_length"     )

                 # Simple input
                 self.assertRaises(
                     _A       ,					tokenizer_r.batch_encode_plus       ,					_A       ,					max_length=_A       ,					padding="max_length"       ,					)

                 # Pair input
                 self.assertRaises(_A       ,					tokenizer_r.encode       ,					_A       ,					max_length=_A       ,					padding="max_length"     )

                 # Pair input
                 self.assertRaises(_A       ,					tokenizer_r.encode_plus       ,					_A       ,					max_length=_A       ,					padding="max_length"     )

                 # Pair input
                 self.assertRaises(
                     _A       ,					tokenizer_r.batch_encode_plus       ,					_A       ,					max_length=_A       ,					padding="max_length"       ,					)





     def 	UpperCAmelCase(self   :					Any     )		->		str:
         pass







@require_ftfy
@require_spacy
@require_tokenizers
class   lowerCamelCase	(						A_						):
     pass



import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin







@require_jieba
class   lowerCamelCase	(						A_							,				unittest.TestCase						):
     UpperCAmelCase__       :							Any     =	CpmAntTokenizer
     UpperCAmelCase__       :							Optional[Any]     =	False





     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		Dict:
         super().setUp()

         snake_case				  =      [
             "<d>",
             "</d>",
             "<s>",
             "</s>",
             "</_>",
             "<unk>",
             "<pad>",
             "</n>",
             "我",
             "是",
             "C",
             "P",
             "M",
             "A",
             "n",
             "t",
         ]
         snake_case				  =      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]     )     )





     @tooslow
     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		Optional[int]:
         snake_case				  =      CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b"     )
         snake_case				  =      "今天天气真好！"
         snake_case				  =      ["今天", "天气", "真", "好", "！"]
         snake_case				  =      tokenizer.tokenize(_A     )
         self.assertListEqual(_A       ,					_A     )
         snake_case				  =      "今天天气真好！"
         snake_case				  =      [tokenizer.bos_token] + tokens

         snake_case				  =      [6, 9_8_0_2, 1_4_9_6_2, 2_0_8_2, 8_3_1, 2_4_4]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_A     )       ,					_A     )

         snake_case				  =      tokenizer.decode(_A     )
         self.assertEqual(_A       ,					_A     )

