


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    UpperCAmelCase_	(							_a,     unittest.TestCase):
       '''simple docstring'''
       __UpperCamelCase      :     List[Any]							=					BlenderbotSmallTokenizer
       __UpperCamelCase      :     str							=					False






       def  _lowercase   (     self						):




              """simple docstring"""




              super().setUp()

              UpperCamelCase    :	Optional[Any]   	=		['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
              UpperCamelCase    :	Any   	=		dict(zip(__SCREAMING_SNAKE_CASE ,					range(len(__SCREAMING_SNAKE_CASE						)						)						)						)

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

              UpperCamelCase    :	Optional[int]   	=		os.path.join(self.tmpdirname ,					VOCAB_FILES_NAMES['''vocab_file''']						)
              UpperCamelCase    :	int   	=		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(__SCREAMING_SNAKE_CASE						) + '''\n'''						)
              with open(self.merges_file ,					'''w''' ,					encoding='''utf-8'''						) as fp:
                     fp.write('''\n'''.join(__SCREAMING_SNAKE_CASE						)						)






       def  _lowercase   (     self ,					**__SCREAMING_SNAKE_CASE						):




              """simple docstring"""




              kwargs.update(self.special_tokens_map						)
              return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname ,					**__SCREAMING_SNAKE_CASE						)






       def  _lowercase   (     self ,					__SCREAMING_SNAKE_CASE						):




              """simple docstring"""




              UpperCamelCase    :	int   	=		'''adapt act apte'''
              UpperCamelCase    :	List[Any]   	=		'''adapt act apte'''
              return input_text, output_text






       def  _lowercase   (     self						):




              """simple docstring"""




              UpperCamelCase    :	Tuple   	=		BlenderbotSmallTokenizer(self.vocab_file ,					self.merges_file ,					**self.special_tokens_map						)
              UpperCamelCase    :	List[str]   	=		'''adapt act apte'''
              UpperCamelCase    :	List[str]   	=		['''adapt''', '''act''', '''ap@@''', '''te''']
              UpperCamelCase    :	str   	=		tokenizer.tokenize(__SCREAMING_SNAKE_CASE						)
              self.assertListEqual(__SCREAMING_SNAKE_CASE ,					__SCREAMING_SNAKE_CASE						)

              UpperCamelCase    :	str   	=		[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

              UpperCamelCase    :	Dict   	=		[0, 1, 2, 3, 4, 5]
              self.assertListEqual(tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE						) ,					__SCREAMING_SNAKE_CASE						)






       def  _lowercase   (     self						):




              """simple docstring"""




              UpperCamelCase    :	Tuple   	=		BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''						)
              assert tok('''sam'''						).input_ids == [1_384]
              UpperCamelCase    :	Dict   	=		'''I am a small frog.'''
              UpperCamelCase    :	Tuple   	=		tok([src_text] ,					padding=__SCREAMING_SNAKE_CASE ,					truncation=__SCREAMING_SNAKE_CASE						)['''input_ids''']
              UpperCamelCase    :	Tuple   	=		tok.batch_decode(__SCREAMING_SNAKE_CASE ,					skip_special_tokens=__SCREAMING_SNAKE_CASE ,					clean_up_tokenization_spaces=__SCREAMING_SNAKE_CASE						)[0]
              assert src_text != decoded  # I wish it did!
              assert decoded == "i am a small frog ."






       def  _lowercase   (     self						):




              """simple docstring"""




              UpperCamelCase    :	int   	=		BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''						)
              UpperCamelCase    :	List[Any]   	=		'''I am a small frog .'''
              UpperCamelCase    :	Union[str, Any]   	=		'''.'''
              UpperCamelCase    :	Dict   	=		tok(__SCREAMING_SNAKE_CASE						)['''input_ids''']
              UpperCamelCase    :	Optional[int]   	=		tok(__SCREAMING_SNAKE_CASE						)['''input_ids''']

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





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCAmelCase : str 			=				logging.get_logger(__name__)

__UpperCAmelCase : Dict 			=				{
    "hustvl/yolos-small": "https://huggingface.co/hustvl/yolos-small/resolve/main/config.json",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}



class    UpperCAmelCase_	(							_a):
       '''simple docstring'''
       __UpperCamelCase      :     Optional[int]							=					"yolos"






       def __init__(     self ,					__SCREAMING_SNAKE_CASE=768 ,					__SCREAMING_SNAKE_CASE=12 ,					__SCREAMING_SNAKE_CASE=12 ,					__SCREAMING_SNAKE_CASE=3_072 ,					__SCREAMING_SNAKE_CASE="gelu" ,					__SCREAMING_SNAKE_CASE=0.0 ,					__SCREAMING_SNAKE_CASE=0.0 ,					__SCREAMING_SNAKE_CASE=0.02 ,					__SCREAMING_SNAKE_CASE=1e-12 ,					__SCREAMING_SNAKE_CASE=[512, 864] ,					__SCREAMING_SNAKE_CASE=16 ,					__SCREAMING_SNAKE_CASE=3 ,					__SCREAMING_SNAKE_CASE=True ,					__SCREAMING_SNAKE_CASE=100 ,					__SCREAMING_SNAKE_CASE=True ,					__SCREAMING_SNAKE_CASE=False ,					__SCREAMING_SNAKE_CASE=1 ,					__SCREAMING_SNAKE_CASE=5 ,					__SCREAMING_SNAKE_CASE=2 ,					__SCREAMING_SNAKE_CASE=5 ,					__SCREAMING_SNAKE_CASE=2 ,					__SCREAMING_SNAKE_CASE=0.1 ,					**__SCREAMING_SNAKE_CASE ,					):




              """simple docstring"""




              super().__init__(**__SCREAMING_SNAKE_CASE						)

              UpperCamelCase    :	Tuple   	=		hidden_size
              UpperCamelCase    :	List[Any]   	=		num_hidden_layers
              UpperCamelCase    :	int   	=		num_attention_heads
              UpperCamelCase    :	Dict   	=		intermediate_size
              UpperCamelCase    :	Dict   	=		hidden_act
              UpperCamelCase    :	int   	=		hidden_dropout_prob
              UpperCamelCase    :	Any   	=		attention_probs_dropout_prob
              UpperCamelCase    :	Optional[Any]   	=		initializer_range
              UpperCamelCase    :	List[Any]   	=		layer_norm_eps
              UpperCamelCase    :	int   	=		image_size
              UpperCamelCase    :	Any   	=		patch_size
              UpperCamelCase    :	str   	=		num_channels
              UpperCamelCase    :	str   	=		qkv_bias
              UpperCamelCase    :	Tuple   	=		num_detection_tokens
              UpperCamelCase    :	List[Any]   	=		use_mid_position_embeddings
              UpperCamelCase    :	Dict   	=		auxiliary_loss
              # Hungarian matcher
              UpperCamelCase    :	Optional[Any]   	=		class_cost
              UpperCamelCase    :	Union[str, Any]   	=		bbox_cost
              UpperCamelCase    :	Any   	=		giou_cost
              # Loss coefficients
              UpperCamelCase    :	List[Any]   	=		bbox_loss_coefficient
              UpperCamelCase    :	Union[str, Any]   	=		giou_loss_coefficient
              UpperCamelCase    :	Dict   	=		eos_coefficient




class    UpperCAmelCase_	(							_a):
       '''simple docstring'''
       __UpperCamelCase      :     List[str]							=					version.parse("1.11")






       @property
       def  _lowercase   (     self						):




              """simple docstring"""




              return OrderedDict(
                  [
                      ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
                  ]						)






       @property
       def  _lowercase   (     self						):




              """simple docstring"""




              return 1e-4






       @property
       def  _lowercase   (     self						):




              """simple docstring"""




              return 12

