


import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin







class 				snake_case__(							__a,						unittest.TestCase							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  Optional[int]					=							BlenderbotSmallTokenizer
						SCREAMING_SNAKE_CASE__      :  Union[str, Any]					=							False




						def 						lowercase_ (				self							)					->    int:
										super().setUp()

										lowerCAmelCase_ :      Any    				=				['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
										lowerCAmelCase_ :      str    				=				dict(zip(snake_case__   ,						range(len(snake_case__							)							)							)							)

										lowerCAmelCase_ :      Tuple    				=				['''#version: 0.2''', '''a p''', '''t e</w>''', '''ap t</w>''', '''a d''', '''ad apt</w>''', '''a c''', '''ac t</w>''', '''''']
										lowerCAmelCase_ :      Optional[int]    				=				{'''unk_token''': '''__unk__''', '''bos_token''': '''__start__''', '''eos_token''': '''__end__'''}

										lowerCAmelCase_ :      str    				=				os.path.join(self.tmpdirname   ,						VOCAB_FILES_NAMES['''vocab_file''']							)
										lowerCAmelCase_ :      Dict    				=				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(snake_case__							) + '''\n'''							)
										with open(self.merges_file   ,						'''w'''   ,						encoding='''utf-8'''							) as fp:
														fp.write('''\n'''.join(snake_case__							)							)




						def 						lowercase_ (				self   ,						**__lowercase							)					->    Optional[int]:
										kwargs.update(self.special_tokens_map							)
										return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname   ,						**snake_case__							)




						def 						lowercase_ (				self   ,						__lowercase							)					->    Union[str, Any]:
										lowerCAmelCase_ :      int    				=				'''adapt act apte'''
										lowerCAmelCase_ :      int    				=				'''adapt act apte'''
										return input_text, output_text




						def 						lowercase_ (				self							)					->    int:
										lowerCAmelCase_ :      Optional[int]    				=				BlenderbotSmallTokenizer(self.vocab_file   ,						self.merges_file   ,						**self.special_tokens_map							)
										lowerCAmelCase_ :      Any    				=				'''adapt act apte'''
										lowerCAmelCase_ :      List[str]    				=				['''adapt''', '''act''', '''ap@@''', '''te''']
										lowerCAmelCase_ :      str    				=				tokenizer.tokenize(snake_case__							)
										self.assertListEqual(snake_case__   ,						snake_case__							)

										lowerCAmelCase_ :      Union[str, Any]    				=				[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

										lowerCAmelCase_ :      Optional[Any]    				=				[0, 1, 2, 3, 4, 5]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__							)   ,						snake_case__							)




						def 						lowercase_ (				self							)					->    Any:
										lowerCAmelCase_ :      Union[str, Any]    				=				BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''							)
										assert tok('''sam'''							).input_ids == [1_3_8_4]
										lowerCAmelCase_ :      List[str]    				=				'''I am a small frog.'''
										lowerCAmelCase_ :      Optional[Any]    				=				tok([src_text]   ,						padding=snake_case__   ,						truncation=snake_case__							)['''input_ids''']
										lowerCAmelCase_ :      int    				=				tok.batch_decode(snake_case__   ,						skip_special_tokens=snake_case__   ,						clean_up_tokenization_spaces=snake_case__							)[0]
										assert src_text != decoded  # I wish it did!
										assert decoded == "i am a small frog ."




						def 						lowercase_ (				self							)					->    Dict:
										lowerCAmelCase_ :      Optional[int]    				=				BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''							)
										lowerCAmelCase_ :      Optional[Any]    				=				'''I am a small frog .'''
										lowerCAmelCase_ :      Optional[Any]    				=				'''.'''
										lowerCAmelCase_ :      Optional[int]    				=				tok(snake_case__							)['''input_ids''']
										lowerCAmelCase_ :      Any    				=				tok(snake_case__							)['''input_ids''']

										assert encoded[-1] == encoded_dot[0]



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


_UpperCAmelCase			:  Optional[int]     =logging.get_logger(__name__)

_UpperCAmelCase			:  Union[str, Any]     ={
    """abeja/gpt-neox-japanese-2.7b""": """https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json""",
}







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  str					=							"""gpt_neox_japanese"""




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