


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'''






					A__     =					BlenderbotSmallTokenizer
					A__     =					False

					def     lowerCamelCase__	(self       :		Optional[Any]						)		->  Dict:




							"""simple docstring"""


							super().setUp()

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

							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(_UpperCAmelCase						) + """\n"""						)
							with open(self.merges_file ,   """w""" ,   encoding="""utf-8"""						) as fp:
									fp.write("""\n""".join(_UpperCAmelCase						)						)

					def     lowerCamelCase__	(self       :		Optional[int] ,   **_UpperCAmelCase       :		str						)		->  Tuple:




							"""simple docstring"""


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

					def     lowerCamelCase__	(self       :		Optional[Any] ,   _UpperCAmelCase       :		Union[str, Any]						)		->  Any:




							"""simple docstring"""


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

					def     lowerCamelCase__	(self       :		Union[str, Any]						)		->  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(_UpperCAmelCase						)
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)

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

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

					def     lowerCamelCase__	(self       :		str						)		->  List[str]:




							"""simple docstring"""


							lowercase__	     =						BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M"""						)
							assert tok("""sam"""						).input_ids == [1384]
							lowercase__	     =						"""I am a small frog."""
							lowercase__	     =						tok([src_text] ,   padding=_UpperCAmelCase ,   truncation=_UpperCAmelCase						)["""input_ids"""]
							lowercase__	     =						tok.batch_decode(_UpperCAmelCase ,   skip_special_tokens=_UpperCAmelCase ,   clean_up_tokenization_spaces=_UpperCAmelCase						)[0]
							assert src_text != decoded  # I wish it did!
							assert decoded == "i am a small frog ."


					def     lowerCamelCase__	(self       :		List[Any]						)		->  Union[str, Any]:




							"""simple docstring"""


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


A			:						Any        =  logging.get_logger(__name__)

A			:						Tuple        =  {
    'sail/poolformer_s12': 'https://huggingface.co/sail/poolformer_s12/resolve/main/config.json',
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}



class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					A__     =					'''poolformer'''

					def __init__(self       :		Dict ,   _UpperCAmelCase       :		Union[str, Any]=3 ,   _UpperCAmelCase       :		str=16 ,   _UpperCAmelCase       :		Any=16 ,   _UpperCAmelCase       :		Union[str, Any]=3 ,   _UpperCAmelCase       :		Union[str, Any]=4.0 ,   _UpperCAmelCase       :		str=[2, 2, 6, 2] ,   _UpperCAmelCase       :		int=[64, 128, 320, 512] ,   _UpperCAmelCase       :		Union[str, Any]=[7, 3, 3, 3] ,   _UpperCAmelCase       :		List[Any]=[4, 2, 2, 2] ,   _UpperCAmelCase       :		Union[str, Any]=[2, 1, 1, 1] ,   _UpperCAmelCase       :		Optional[Any]=4 ,   _UpperCAmelCase       :		Dict=0.0 ,   _UpperCAmelCase       :		Union[str, Any]="gelu" ,   _UpperCAmelCase       :		Optional[Any]=True ,   _UpperCAmelCase       :		Tuple=1E-5 ,   _UpperCAmelCase       :		Tuple=0.02 ,   **_UpperCAmelCase       :		Union[str, Any] ,   )		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						num_channels
							lowercase__	     =						patch_size
							lowercase__	     =						stride
							lowercase__	     =						padding
							lowercase__	     =						pool_size
							lowercase__	     =						hidden_sizes
							lowercase__	     =						mlp_ratio
							lowercase__	     =						depths
							lowercase__	     =						patch_sizes
							lowercase__	     =						strides
							lowercase__	     =						num_encoder_blocks
							lowercase__	     =						drop_path_rate
							lowercase__	     =						hidden_act
							lowercase__	     =						use_layer_scale
							lowercase__	     =						layer_scale_init_value
							lowercase__	     =						initializer_range
							super().__init__(**_UpperCAmelCase						)






class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					A__     =					version.parse('''1.11'''				)

					@property
					def     lowerCamelCase__	(self       :		List[str]						)		->  Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


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


					@property
					def     lowerCamelCase__	(self       :		Dict						)		->  float:




							"""simple docstring"""


							return 2E-3

