
'''simple docstring'''







import argparse
from collections import defaultdict

import yaml


_lowercase :  Dict    							=       "docs/source/en/_toctree.yml"
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Dict							):



						"""simple docstring"""





						lowercase_	:     Optional[Any]													=       defaultdict(__SCREAMING_SNAKE_CASE							)
						lowercase_	:     List[str]													=       []
						lowercase_	:     Optional[Any]													=       []
						for doc in doc_list:
												if "local" in doc:
																		counts[doc["local"]] += 1

												if doc["title"].lower() == "overview":
																		overview_doc.append({'''local''': doc['''local'''], '''title''': doc['''title''']}							)
												else:
																		new_doc_list.append(__SCREAMING_SNAKE_CASE							)

						lowercase_	:     List[str]													=       new_doc_list
						lowercase_	:     Any													=       [key for key, value in counts.items() if value > 1]

						lowercase_	:     Any													=       []
						for duplicate_key in duplicates:
												lowercase_	:     List[Any]													=       list({doc['''title'''] for doc in doc_list if doc['''local'''] == duplicate_key}							)
												if len(__SCREAMING_SNAKE_CASE							) > 1:
																		raise ValueError(
																		    F'''{duplicate_key} is present several times in the documentation table of content at '''
																		    '''`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '''
																		    '''others.'''							)
												# Only add this once
												new_doc.append({'''local''': duplicate_key, '''title''': titles[0]}							)

						# Add none duplicate-keys
						new_doc.extend([doc for doc in doc_list if '''local''' not in counts or counts[doc['''local''']] == 1]							)
						lowercase_	:     List[Any]													=       sorted(__SCREAMING_SNAKE_CASE      ,      key=lambda __SCREAMING_SNAKE_CASE							: s["title"].lower()							)

						# "overview" gets special treatment and is always first
						if len(__SCREAMING_SNAKE_CASE							) > 1:
												raise ValueError('''{doc_list} has two \'overview\' docs which is not allowed.'''							)

						overview_doc.extend(__SCREAMING_SNAKE_CASE							)

						# Sort
						return overview_doc
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Any=False							):



						"""simple docstring"""





						with open(__SCREAMING_SNAKE_CASE      ,      encoding='''utf-8'''							) as f:
												lowercase_	:     Dict													=       yaml.safe_load(f.read()							)

						# Get to the API doc
						lowercase_	:     Any													=       0
						while content[api_idx]["title"] != "API":
												api_idx += 1
						lowercase_	:     Optional[Any]													=       content[api_idx]['''sections''']

						# Then to the model doc
						lowercase_	:     Tuple													=       0
						while api_doc[scheduler_idx]["title"] != "Schedulers":
												scheduler_idx += 1

						lowercase_	:     Optional[int]													=       api_doc[scheduler_idx]['''sections''']
						lowercase_	:     Union[str, Any]													=       clean_doc_toc(__SCREAMING_SNAKE_CASE							)

						lowercase_	:     List[Any]													=       False
						if new_scheduler_doc != scheduler_doc:
												lowercase_	:     Any													=       True
												if overwrite:
																		lowercase_	:     List[str]													=       new_scheduler_doc

						if diff:
												if overwrite:
																		lowercase_	:     Any													=       api_doc
																		with open(__SCREAMING_SNAKE_CASE      ,      '''w'''      ,      encoding='''utf-8'''							) as f:
																								f.write(yaml.dump(__SCREAMING_SNAKE_CASE      ,      allow_unicode=__SCREAMING_SNAKE_CASE							)							)
												else:
																		raise ValueError(
																		    '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''							)
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: int=False							):



						"""simple docstring"""





						with open(__SCREAMING_SNAKE_CASE      ,      encoding='''utf-8'''							) as f:
												lowercase_	:     Optional[int]													=       yaml.safe_load(f.read()							)

						# Get to the API doc
						lowercase_	:     int													=       0
						while content[api_idx]["title"] != "API":
												api_idx += 1
						lowercase_	:     Any													=       content[api_idx]['''sections''']

						# Then to the model doc
						lowercase_	:     Any													=       0
						while api_doc[pipeline_idx]["title"] != "Pipelines":
												pipeline_idx += 1

						lowercase_	:     Optional[int]													=       False
						lowercase_	:     str													=       api_doc[pipeline_idx]['''sections''']
						lowercase_	:     Optional[int]													=       []

						# sort sub pipeline docs
						for pipeline_doc in pipeline_docs:
												if "section" in pipeline_doc:
																		lowercase_	:     List[Any]													=       pipeline_doc['''section''']
																		lowercase_	:     Union[str, Any]													=       clean_doc_toc(__SCREAMING_SNAKE_CASE							)
																		if overwrite:
																								lowercase_	:     List[Any]													=       new_sub_pipeline_doc
												new_pipeline_docs.append(__SCREAMING_SNAKE_CASE							)

						# sort overall pipeline doc
						lowercase_	:     int													=       clean_doc_toc(__SCREAMING_SNAKE_CASE							)

						if new_pipeline_docs != pipeline_docs:
												lowercase_	:     List[str]													=       True
												if overwrite:
																		lowercase_	:     str													=       new_pipeline_docs

						if diff:
												if overwrite:
																		lowercase_	:     Union[str, Any]													=       api_doc
																		with open(__SCREAMING_SNAKE_CASE      ,      '''w'''      ,      encoding='''utf-8'''							) as f:
																								f.write(yaml.dump(__SCREAMING_SNAKE_CASE      ,      allow_unicode=__SCREAMING_SNAKE_CASE							)							)
												else:
																		raise ValueError(
																		    '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''							)


if __name__ == "__main__":
							_lowercase :  List[str]    							=       argparse.ArgumentParser()
							parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
							_lowercase :  str    							=       parser.parse_args()

							check_scheduler_doc(args.fix_and_overwrite)
							check_pipeline_doc(args.fix_and_overwrite)





'''simple docstring'''







import copy
import os
from typing import Union

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


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

_lowercase :  List[str]    							=       {
    "google/pix2struct-textcaps-base": (
        "https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json"
    ),
}






class  lowerCAmelCase__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     '''pix2struct_text_model'''
					lowerCAmelCase_        =     ['''past_key_values''']
					lowerCAmelCase_        =     {
					    '''hidden_size''': '''hidden_size''',
					    '''num_attention_heads''': '''num_heads''',
					    '''num_hidden_layers''': '''num_layers''',
					}






					def __init__(   self				,							__SCREAMING_SNAKE_CASE=5_02_44				,							__SCREAMING_SNAKE_CASE=7_68				,							__SCREAMING_SNAKE_CASE=64				,							__SCREAMING_SNAKE_CASE=20_48				,							__SCREAMING_SNAKE_CASE=12				,							__SCREAMING_SNAKE_CASE=12				,							__SCREAMING_SNAKE_CASE=32				,							__SCREAMING_SNAKE_CASE=1_28				,							__SCREAMING_SNAKE_CASE=0.1				,							__SCREAMING_SNAKE_CASE=1E-6				,							__SCREAMING_SNAKE_CASE=1.0				,							__SCREAMING_SNAKE_CASE="gelu_new"				,							__SCREAMING_SNAKE_CASE=0				,							__SCREAMING_SNAKE_CASE=False				,							__SCREAMING_SNAKE_CASE=0				,							__SCREAMING_SNAKE_CASE=1				,							__SCREAMING_SNAKE_CASE=False				,							__SCREAMING_SNAKE_CASE=True				,							**__SCREAMING_SNAKE_CASE				,							):


											"""simple docstring"""





											lowercase_	:     Any													=       vocab_size
											lowercase_	:     Tuple													=       hidden_size
											lowercase_	:     Optional[Any]													=       d_kv
											lowercase_	:     List[str]													=       d_ff
											lowercase_	:     List[str]													=       num_layers
											lowercase_	:     Optional[Any]													=       num_heads
											lowercase_	:     Union[str, Any]													=       relative_attention_num_buckets
											lowercase_	:     Optional[int]													=       relative_attention_max_distance
											lowercase_	:     Union[str, Any]													=       dropout_rate
											lowercase_	:     Dict													=       layer_norm_epsilon
											lowercase_	:     Dict													=       initializer_factor
											lowercase_	:     List[Any]													=       use_cache

											lowercase_	:     Optional[int]													=       eos_token_id
											lowercase_	:     Optional[int]													=       decoder_start_token_id

											# for backwards compatibility
											lowercase_	:     Any													=       dense_act_fn

											super().__init__(
											    pad_token_id=__SCREAMING_SNAKE_CASE				,							eos_token_id=__SCREAMING_SNAKE_CASE				,							decoder_start_token_id=__SCREAMING_SNAKE_CASE				,							tie_word_embeddings=__SCREAMING_SNAKE_CASE				,							is_decoder=__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE				,							)






					@classmethod
					def 	_snake_case    (   cls				,							__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											cls._set_token_in_kwargs(__SCREAMING_SNAKE_CASE		)

											lowercase_						, lowercase_	:     Optional[int]													=       cls.get_config_dict(__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)

											# get the text config dict if we are loading from Pix2StructConfig
											if config_dict.get('''model_type'''		) == "pix2struct":
																	lowercase_	:     List[Any]													=       config_dict['''text_config''']

											if "model_type" in config_dict and hasattr(cls				,							'''model_type'''		) and config_dict["model_type"] != cls.model_type:
																	logger.warning(
																	    F'''You are using a model of type {config_dict['model_type']} to instantiate a model of type '''
																	    F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''		)

											return cls.from_dict(__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)







class  lowerCAmelCase__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     '''pix2struct_vision_model'''






					def __init__(   self				,							__SCREAMING_SNAKE_CASE=7_68				,							__SCREAMING_SNAKE_CASE=7_68				,							__SCREAMING_SNAKE_CASE=20_48				,							__SCREAMING_SNAKE_CASE=64				,							__SCREAMING_SNAKE_CASE=12				,							__SCREAMING_SNAKE_CASE=12				,							__SCREAMING_SNAKE_CASE="gelu_new"				,							__SCREAMING_SNAKE_CASE=1E-6				,							__SCREAMING_SNAKE_CASE=0.0				,							__SCREAMING_SNAKE_CASE=0.0				,							__SCREAMING_SNAKE_CASE=1E-1_0				,							__SCREAMING_SNAKE_CASE=1.0				,							__SCREAMING_SNAKE_CASE=40_96				,							__SCREAMING_SNAKE_CASE=32				,							__SCREAMING_SNAKE_CASE=1_28				,							**__SCREAMING_SNAKE_CASE				,							):


											"""simple docstring"""





											super().__init__(**__SCREAMING_SNAKE_CASE		)

											lowercase_	:     Union[str, Any]													=       hidden_size
											lowercase_	:     Any													=       patch_embed_hidden_size
											lowercase_	:     List[Any]													=       d_ff
											lowercase_	:     Dict													=       dropout_rate
											lowercase_	:     Any													=       num_hidden_layers
											lowercase_	:     Any													=       num_attention_heads
											lowercase_	:     int													=       initializer_range
											lowercase_	:     Dict													=       initializer_factor
											lowercase_	:     Dict													=       attention_dropout
											lowercase_	:     Optional[Any]													=       layer_norm_eps
											lowercase_	:     str													=       dense_act_fn
											lowercase_	:     Dict													=       seq_len
											lowercase_	:     List[Any]													=       relative_attention_num_buckets
											lowercase_	:     int													=       relative_attention_max_distance
											lowercase_	:     Optional[int]													=       d_kv






					@classmethod
					def 	_snake_case    (   cls				,							__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											cls._set_token_in_kwargs(__SCREAMING_SNAKE_CASE		)

											lowercase_						, lowercase_	:     str													=       cls.get_config_dict(__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)

											# get the vision config dict if we are loading from Pix2StructConfig
											if config_dict.get('''model_type'''		) == "pix2struct":
																	lowercase_	:     Optional[int]													=       config_dict['''vision_config''']

											if "model_type" in config_dict and hasattr(cls				,							'''model_type'''		) and config_dict["model_type"] != cls.model_type:
																	logger.warning(
																	    F'''You are using a model of type {config_dict['model_type']} to instantiate a model of type '''
																	    F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''		)

											return cls.from_dict(__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)







class  lowerCAmelCase__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     '''pix2struct'''
					lowerCAmelCase_        =     True






					def __init__(   self				,							__SCREAMING_SNAKE_CASE=None				,							__SCREAMING_SNAKE_CASE=None				,							__SCREAMING_SNAKE_CASE=1.0				,							__SCREAMING_SNAKE_CASE=0.02				,							__SCREAMING_SNAKE_CASE=False				,							__SCREAMING_SNAKE_CASE=False				,							__SCREAMING_SNAKE_CASE=True				,							**__SCREAMING_SNAKE_CASE				,							):


											"""simple docstring"""





											super().__init__(tie_word_embeddings=__SCREAMING_SNAKE_CASE				,							is_encoder_decoder=__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)

											if text_config is None:
																	lowercase_	:     Optional[Any]													=       {}
																	logger.info('''text_config is None. Initializing the Pix2StructTextConfig with default values.'''		)

											if vision_config is None:
																	lowercase_	:     Dict													=       {}
																	logger.info('''vision_config is None. Initializing the Pix2StructVisionConfig with default values.'''		)

											lowercase_	:     str													=       PixaStructTextConfig(**__SCREAMING_SNAKE_CASE		)
											lowercase_	:     Tuple													=       PixaStructVisionConfig(**__SCREAMING_SNAKE_CASE		)

											lowercase_	:     Optional[Any]													=       self.text_config.decoder_start_token_id
											lowercase_	:     Union[str, Any]													=       self.text_config.pad_token_id
											lowercase_	:     Union[str, Any]													=       self.text_config.eos_token_id

											lowercase_	:     int													=       initializer_factor
											lowercase_	:     Any													=       initializer_range

											lowercase_	:     str													=       self.initializer_range
											lowercase_	:     str													=       self.initializer_range

											lowercase_	:     int													=       is_vqa






					@classmethod
					def 	_snake_case    (   cls				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											return cls(text_config=text_config.to_dict()				,							vision_config=vision_config.to_dict()				,							**__SCREAMING_SNAKE_CASE		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Tuple													=       copy.deepcopy(self.__dict__		)
											lowercase_	:     Any													=       self.text_config.to_dict()
											lowercase_	:     Optional[Any]													=       self.vision_config.to_dict()
											lowercase_	:     Optional[int]													=       self.__class__.model_type
											return output



