
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCAmelCase :			str              =	logging.get_logger(__name__)

_UpperCAmelCase :			Optional[int]              =	{
    "caidas/swin2sr-classicalsr-x2-64": (
        "https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json"
    ),
}


class     lowercase (		_SCREAMING_SNAKE_CASE       ):
		__lowercase	:	str     					=    "swin2sr"

		__lowercase	:	str     					=    {
		    "hidden_size": "embed_dim",
		    "num_attention_heads": "num_heads",
		    "num_hidden_layers": "num_layers",
		}



		def __init__(			self    ,				A_=64    ,				A_=1    ,				A_=3    ,				A_=180    ,				A_=[6, 6, 6, 6, 6, 6]    ,				A_=[6, 6, 6, 6, 6, 6]    ,				A_=8    ,				A_=2.0    ,				A_=True    ,				A_=0.0    ,				A_=0.0    ,				A_=0.1    ,				A_="gelu"    ,				A_=False    ,				A_=0.02    ,				A_=1e-5    ,				A_=2    ,				A_=1.0    ,				A_="1conv"    ,				A_="pixelshuffle"    ,				**A_    ,				)  -> List[Any]:
				"""simple docstring"""
				super().__init__(**A_	)

				UpperCamelCase          =					image_size
				UpperCamelCase          =					patch_size
				UpperCamelCase          =					num_channels
				UpperCamelCase          =					embed_dim
				UpperCamelCase          =					depths
				UpperCamelCase          =					len(A_	)
				UpperCamelCase          =					num_heads
				UpperCamelCase          =					window_size
				UpperCamelCase          =					mlp_ratio
				UpperCamelCase          =					qkv_bias
				UpperCamelCase          =					hidden_dropout_prob
				UpperCamelCase          =					attention_probs_dropout_prob
				UpperCamelCase          =					drop_path_rate
				UpperCamelCase          =					hidden_act
				UpperCamelCase          =					use_absolute_embeddings
				UpperCamelCase          =					layer_norm_eps
				UpperCamelCase          =					initializer_range
				UpperCamelCase          =					upscale
				UpperCamelCase          =					img_range
				UpperCamelCase          =					resi_connection
				UpperCamelCase          =					upsampler


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 (		_SCREAMING_SNAKE_CASE  ,       unittest.TestCase       ):
		__lowercase	:	Any     					=    CTRLTokenizer
		__lowercase	:	Any     					=    False
		__lowercase	:	Union[str, Any]     					=    False



		def __UpperCamelCase			(			self	)  -> Any:
				"""simple docstring"""
				super().setUp()

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

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



		def __UpperCamelCase			(			self    ,				**A_	)  -> List[Any]:
				"""simple docstring"""
				kwargs.update(self.special_tokens_map	)
				return CTRLTokenizer.from_pretrained(self.tmpdirname    ,				**A_	)



		def __UpperCamelCase			(			self    ,				A_	)  -> Optional[Any]:
				"""simple docstring"""
				UpperCamelCase          =					'adapt react readapt apt'
				UpperCamelCase          =					'adapt react readapt apt'
				return input_text, output_text



		def __UpperCamelCase			(			self	)  -> str:
				"""simple docstring"""
				UpperCamelCase          =					CTRLTokenizer(self.vocab_file    ,				self.merges_file    ,				**self.special_tokens_map	)
				UpperCamelCase          =					'adapt react readapt apt'
				UpperCamelCase          =					'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
				UpperCamelCase          =					tokenizer.tokenize(A_	)
				self.assertListEqual(A_    ,				A_	)

				UpperCamelCase          =					tokens + [tokenizer.unk_token]

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