






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__	:			Optional[Any]			   = logging.get_logger(__name__)

A__	:			Optional[int]			   = {
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}
class       _UpperCAmelCase					(       A__	):

				"""simple docstring"""




				lowercase__											=       """beit"""




				def __init__(     self						:    Tuple,  lowerCamelCase						:    Optional[int]=8_192,  lowerCamelCase						:    Tuple=768,  lowerCamelCase						:    Tuple=12,  lowerCamelCase						:    str=12,  lowerCamelCase						:    Dict=3_072,  lowerCamelCase						:    str="gelu",  lowerCamelCase						:    Optional[int]=0.0,  lowerCamelCase						:    Any=0.0,  lowerCamelCase						:    Optional[Any]=0.02,  lowerCamelCase						:    Tuple=1E-12,  lowerCamelCase						:    Tuple=224,  lowerCamelCase						:    Optional[Any]=16,  lowerCamelCase						:    str=3,  lowerCamelCase						:    str=False,  lowerCamelCase						:    int=False,  lowerCamelCase						:    int=False,  lowerCamelCase						:    Union[str, Any]=False,  lowerCamelCase						:    Optional[Any]=0.1,  lowerCamelCase						:    Any=0.1,  lowerCamelCase						:    Tuple=True,  lowerCamelCase						:    int=[3, 5, 7, 11],  lowerCamelCase						:    int=[1, 2, 3, 6],  lowerCamelCase						:    List[Any]=True,  lowerCamelCase						:    Union[str, Any]=0.4,  lowerCamelCase						:    str=256,  lowerCamelCase						:    int=1,  lowerCamelCase						:    Tuple=False,  lowerCamelCase						:    List[str]=255,  **lowerCamelCase						:    List[Any],  ):

								'''simple docstring'''
								super().__init__(**lowerCamelCase  )

								lowercase__    =			vocab_size
								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__    =			use_mask_token
								lowercase__    =			use_absolute_position_embeddings
								lowercase__    =			use_relative_position_bias
								lowercase__    =			use_shared_relative_position_bias
								lowercase__    =			layer_scale_init_value
								lowercase__    =			drop_path_rate
								lowercase__    =			use_mean_pooling
								# decode head attributes (semantic segmentation)
								lowercase__    =			out_indices
								lowercase__    =			pool_scales
								# auxiliary head attributes (semantic segmentation)
								lowercase__    =			use_auxiliary_head
								lowercase__    =			auxiliary_loss_weight
								lowercase__    =			auxiliary_channels
								lowercase__    =			auxiliary_num_convs
								lowercase__    =			auxiliary_concat_input
								lowercase__    =			semantic_loss_ignore_index



class       _UpperCAmelCase					(       A__	):

				"""simple docstring"""




				lowercase__											=       version.parse("""1.11"""	)




				@property
				def 				lowercase__   (     self						:    Dict  ):

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




				@property
				def 				lowercase__   (     self						:    Tuple  ):

								'''simple docstring'''
								return 1E-4












import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class       _UpperCAmelCase					(       A__		,unittest.TestCase	):

				"""simple docstring"""




				lowercase__											=       CTRLTokenizer
				lowercase__											=       False
				lowercase__											=       False




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

								'''simple docstring'''
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								lowercase__    =			['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
								lowercase__    =			dict(zip(lowerCamelCase,  range(len(lowerCamelCase  )  )  )  )
								lowercase__    =			['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
								lowercase__    =			{'''unk_token''': '''<unk>'''}

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




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

								'''simple docstring'''
								kwargs.update(self.special_tokens_map  )
								return CTRLTokenizer.from_pretrained(self.tmpdirname,  **lowerCamelCase  )




				def 				lowercase__   (     self						:    Dict,  lowerCamelCase						:    Optional[int]  ):

								'''simple docstring'''
								lowercase__    =			'''adapt react readapt apt'''
								lowercase__    =			'''adapt react readapt apt'''
								return input_text, output_text




				def 				lowercase__   (     self						:    Tuple  ):

								'''simple docstring'''
								lowercase__    =			CTRLTokenizer(self.vocab_file,  self.merges_file,  **self.special_tokens_map  )
								lowercase__    =			'''adapt react readapt apt'''
								lowercase__    =			'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
								lowercase__    =			tokenizer.tokenize(lowerCamelCase  )
								self.assertListEqual(lowerCamelCase,  lowerCamelCase  )

								lowercase__    =			tokens + [tokenizer.unk_token]

								lowercase__    =			[0, 1, 2, 4, 5, 1, 0, 3, 6]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase  ),  lowerCamelCase  )




