



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   _A   ( __UpperCAmelCase  ,						unittest.TestCase	):


						'''simple docstring'''





						_snake_case			:     str      							=      BlenderbotSmallTokenizer
						_snake_case			:     Optional[int]      							=      False



						def     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							super().setUp()

							__lowercase		       =			["__start__", "adapt", "act", "ap@@", "te", "__end__", "__unk__"]
							__lowercase		       =			dict(zip(__SCREAMING_SNAKE_CASE							,      range(len(__SCREAMING_SNAKE_CASE	)	)	)	)

							__lowercase		       =			["#version: 0.2", "a p", "t e</w>", "ap t</w>", "a d", "ad apt</w>", "a c", "ac t</w>", ""]
							__lowercase		       =			{"unk_token": "__unk__", "bos_token": "__start__", "eos_token": "__end__"}

							__lowercase		       =			os.path.join(self.tmpdirname							,      VOCAB_FILES_NAMES["vocab_file"]	)
							__lowercase		       =			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     _snake_case	(	self	:							Union[str, Any]							,      **lowerCamelCase	:							Any	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							Dict							,      lowerCamelCase	:							Union[str, Any]	):






							'''simple docstring'''



							__lowercase		       =			"adapt act apte"
							__lowercase		       =			"adapt act apte"
							return input_text, output_text



						def     _snake_case	(	self	:							Optional[int]	):






							'''simple docstring'''



							__lowercase		       =			BlenderbotSmallTokenizer(self.vocab_file							,      self.merges_file							,      **self.special_tokens_map	)
							__lowercase		       =			"adapt act apte"
							__lowercase		       =			["adapt", "act", "ap@@", "te"]
							__lowercase		       =			tokenizer.tokenize(__SCREAMING_SNAKE_CASE	)
							self.assertListEqual(__SCREAMING_SNAKE_CASE							,      __SCREAMING_SNAKE_CASE	)

							__lowercase		       =			[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

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



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






							'''simple docstring'''



							__lowercase		       =			BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"	)
							assert tok("sam"	).input_ids == [1_384]
							__lowercase		       =			"I am a small frog."
							__lowercase		       =			tok([src_text]							,      padding=__SCREAMING_SNAKE_CASE							,      truncation=__SCREAMING_SNAKE_CASE	)["input_ids"]
							__lowercase		       =			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     _snake_case	(	self	:							Union[str, Any]	):






							'''simple docstring'''



							__lowercase		       =			BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"	)
							__lowercase		       =			"I am a small frog ."
							__lowercase		       =			"."
							__lowercase		       =			tok(__SCREAMING_SNAKE_CASE	)["input_ids"]
							__lowercase		       =			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


snake_case__					:     List[Any]    		=   logging.get_logger(__name__)

snake_case__					:     List[str]    		=   {
    """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   _A   ( _lowercase	):


						'''simple docstring'''





						_snake_case			:     List[Any]      							=      """yolos"""



						def __init__(	self	:							Union[str, Any]							,      lowerCamelCase	:							Union[str, Any]=768							,      lowerCamelCase	:							int=12							,      lowerCamelCase	:							Union[str, Any]=12							,      lowerCamelCase	:							Optional[Any]=3_072							,      lowerCamelCase	:							Optional[int]="gelu"							,      lowerCamelCase	:							Dict=0.0							,      lowerCamelCase	:							Optional[Any]=0.0							,      lowerCamelCase	:							Any=0.02							,      lowerCamelCase	:							Optional[Any]=1e-12							,      lowerCamelCase	:							Optional[Any]=[512, 864]							,      lowerCamelCase	:							str=16							,      lowerCamelCase	:							Dict=3							,      lowerCamelCase	:							str=True							,      lowerCamelCase	:							List[Any]=100							,      lowerCamelCase	:							Dict=True							,      lowerCamelCase	:							Dict=False							,      lowerCamelCase	:							List[str]=1							,      lowerCamelCase	:							str=5							,      lowerCamelCase	:							Any=2							,      lowerCamelCase	:							str=5							,      lowerCamelCase	:							Optional[int]=2							,      lowerCamelCase	:							List[Any]=0.1							,      **lowerCamelCase	:							List[Any]							,      ):






							'''simple docstring'''



							super().__init__(**lowerCamelCase	)

							__lowercase		       =			hidden_size
							__lowercase		       =			num_hidden_layers
							__lowercase		       =			num_attention_heads
							__lowercase		       =			intermediate_size
							__lowercase		       =			hidden_act
							__lowercase		       =			hidden_dropout_prob
							__lowercase		       =			attention_probs_dropout_prob
							__lowercase		       =			initializer_range
							__lowercase		       =			layer_norm_eps
							__lowercase		       =			image_size
							__lowercase		       =			patch_size
							__lowercase		       =			num_channels
							__lowercase		       =			qkv_bias
							__lowercase		       =			num_detection_tokens
							__lowercase		       =			use_mid_position_embeddings
							__lowercase		       =			auxiliary_loss
							# Hungarian matcher
							__lowercase		       =			class_cost
							__lowercase		       =			bbox_cost
							__lowercase		       =			giou_cost
							# Loss coefficients
							__lowercase		       =			bbox_loss_coefficient
							__lowercase		       =			giou_loss_coefficient
							__lowercase		       =			eos_coefficient

class   _A   ( _lowercase	):


						'''simple docstring'''





						_snake_case			:     Dict      							=      version.parse("""1.11"""	)



						@property
						def     _snake_case	(	self	:							Union[str, Any]	):






							'''simple docstring'''



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



						@property
						def     _snake_case	(	self	:							str	):






							'''simple docstring'''



							return 1e-4



						@property
						def     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							return 12



