
"""simple docstring"""






import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin




class 				lowercase__(				_UpperCAmelCase		,						unittest.TestCase   ):
	'''simple docstring'''

	UpperCamelCase				=  CTRLTokenizer
	UpperCamelCase				=  False
	UpperCamelCase				=  False





	def   __lowerCAmelCase (						self    :Optional[Any]					)							->			str:







			'''simple docstring'''




			super().setUp()

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

			SCREAMING_SNAKE_CASE       :     Dict				= os.path.join(self.tmpdirname		, VOCAB_FILES_NAMES['''vocab_file''']					)
			SCREAMING_SNAKE_CASE       :     List[str]				= 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   __lowerCAmelCase (						self    :Optional[int]		, **lowerCamelCase_    :Any					)							->			int:







			'''simple docstring'''




			kwargs.update(self.special_tokens_map					)
			return CTRLTokenizer.from_pretrained(self.tmpdirname		, **lowerCamelCase_					)





	def   __lowerCAmelCase (						self    :List[str]		, lowerCamelCase_    :Optional[Any]					)							->			Optional[Any]:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Tuple				= '''adapt react readapt apt'''
			SCREAMING_SNAKE_CASE       :     Any				= '''adapt react readapt apt'''
			return input_text, output_text







	def   __lowerCAmelCase (						self    :List[Any]					)							->			Optional[int]:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     List[str]				= CTRLTokenizer(self.vocab_file		, self.merges_file		, **self.special_tokens_map					)
			SCREAMING_SNAKE_CASE       :     int				= '''adapt react readapt apt'''
			SCREAMING_SNAKE_CASE       :     Any				= '''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
			SCREAMING_SNAKE_CASE       :     List[str]				= tokenizer.tokenize(lowerCamelCase_					)
			self.assertListEqual(lowerCamelCase_		, lowerCamelCase_					)

			SCREAMING_SNAKE_CASE       :     Dict				= tokens + [tokenizer.unk_token]

			SCREAMING_SNAKE_CASE       :     Dict				= [0, 1, 2, 4, 5, 1, 0, 3, 6]
			self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_					)		, lowerCamelCase_					)







"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowerCamelCase__ :       int						     =			logging.get_logger(__name__)




class 				lowercase__(				_UpperCAmelCase		,						_UpperCAmelCase   ):
	'''simple docstring'''

	UpperCamelCase				=  """maskformer-swin"""

	UpperCamelCase				=  {
	    """num_attention_heads""": """num_heads""",
	    """num_hidden_layers""": """num_layers""",
	}





	def __init__(						self    :Optional[int]		, lowerCamelCase_    :List[Any]=2_24		, lowerCamelCase_    :Tuple=4		, lowerCamelCase_    :Optional[Any]=3		, lowerCamelCase_    :List[str]=96		, lowerCamelCase_    :int=[2, 2, 6, 2]		, lowerCamelCase_    :Union[str, Any]=[3, 6, 12, 24]		, lowerCamelCase_    :Optional[int]=7		, lowerCamelCase_    :Tuple=4.0		, lowerCamelCase_    :Tuple=True		, lowerCamelCase_    :Dict=0.0		, lowerCamelCase_    :Any=0.0		, lowerCamelCase_    :List[Any]=0.1		, lowerCamelCase_    :Dict="gelu"		, lowerCamelCase_    :Optional[int]=False		, lowerCamelCase_    :List[str]=0.0_2		, lowerCamelCase_    :Any=1E-5		, lowerCamelCase_    :Union[str, Any]=None		, lowerCamelCase_    :List[str]=None		, **lowerCamelCase_    :Union[str, Any]		, )							->			Dict:







			'''simple docstring'''




			super().__init__(**lowerCamelCase_					)

			SCREAMING_SNAKE_CASE       :     int				= image_size
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= patch_size
			SCREAMING_SNAKE_CASE       :     str				= num_channels
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= embed_dim
			SCREAMING_SNAKE_CASE       :     List[Any]				= depths
			SCREAMING_SNAKE_CASE       :     List[str]				= len(lowerCamelCase_					)
			SCREAMING_SNAKE_CASE       :     str				= num_heads
			SCREAMING_SNAKE_CASE       :     Any				= window_size
			SCREAMING_SNAKE_CASE       :     List[str]				= mlp_ratio
			SCREAMING_SNAKE_CASE       :     str				= qkv_bias
			SCREAMING_SNAKE_CASE       :     Tuple				= hidden_dropout_prob
			SCREAMING_SNAKE_CASE       :     int				= attention_probs_dropout_prob
			SCREAMING_SNAKE_CASE       :     int				= drop_path_rate
			SCREAMING_SNAKE_CASE       :     Tuple				= hidden_act
			SCREAMING_SNAKE_CASE       :     Any				= use_absolute_embeddings
			SCREAMING_SNAKE_CASE       :     List[str]				= layer_norm_eps
			SCREAMING_SNAKE_CASE       :     List[str]				= initializer_range
			# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
			# this indicates the channel dimension after the last stage of the model
			SCREAMING_SNAKE_CASE       :     int				= int(embed_dim * 2 ** (len(lowerCamelCase_					) - 1)					)
			SCREAMING_SNAKE_CASE       :     Dict				= ['''stem'''] + [f"stage{idx}" for idx in range(1		, len(lowerCamelCase_					) + 1					)]
			SCREAMING_SNAKE_CASE,					SCREAMING_SNAKE_CASE       :     int				= get_aligned_output_features_output_indices(
			    out_features=lowerCamelCase_		, out_indices=lowerCamelCase_		, stage_names=self.stage_names					)





