

'''simple docstring'''
import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


_lowerCamelCase      					=     pytest.mark.integration


@pytest.mark.parametrize("path"	,				["paws", "csv"]				)
def  a__       (    _SCREAMING_SNAKE_CASE   :       Tuple	,				_SCREAMING_SNAKE_CASE   :       str				)     ->					Tuple:


	"""simple docstring"""





	inspect_dataset(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	UpperCAmelCase_     :      Optional[Any]						=  path + ".py"
	assert script_name in os.listdir(_SCREAMING_SNAKE_CASE				)
	assert "__pycache__" not in os.listdir(_SCREAMING_SNAKE_CASE				)


@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning"				)
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"				)
@pytest.mark.parametrize("path"	,				["accuracy"]				)
def  a__       (    _SCREAMING_SNAKE_CASE   :       List[str]	,				_SCREAMING_SNAKE_CASE   :       Tuple				)     ->					List[str]:


	"""simple docstring"""





	inspect_metric(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	UpperCAmelCase_     :      List[Any]						=  path + ".py"
	assert script_name in os.listdir(_SCREAMING_SNAKE_CASE				)
	assert "__pycache__" not in os.listdir(_SCREAMING_SNAKE_CASE				)


@pytest.mark.parametrize(
    "path, config_name, expected_splits"	,				[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]	,				)
def  a__       (    _SCREAMING_SNAKE_CASE   :       Optional[int]	,				_SCREAMING_SNAKE_CASE   :       Optional[Any]	,				_SCREAMING_SNAKE_CASE   :       Dict				)     ->					str:


	"""simple docstring"""





	UpperCAmelCase_     :      int						=  get_dataset_config_info(_SCREAMING_SNAKE_CASE	,				config_name=_SCREAMING_SNAKE_CASE				)
	assert info.config_name == config_name
	assert list(info.splits.keys()				) == expected_splits


@pytest.mark.parametrize(
    "path, config_name, expected_exception"	,				[
        ("paws", None, ValueError),
    ]	,				)
def  a__       (    _SCREAMING_SNAKE_CASE   :       Dict	,				_SCREAMING_SNAKE_CASE   :       Optional[int]	,				_SCREAMING_SNAKE_CASE   :       List[str]				)     ->					str:


	"""simple docstring"""





	with pytest.raises(_SCREAMING_SNAKE_CASE				):
		get_dataset_config_info(_SCREAMING_SNAKE_CASE	,				config_name=_SCREAMING_SNAKE_CASE				)


@pytest.mark.parametrize(
    "path, expected"	,				[
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ]	,				)
def  a__       (    _SCREAMING_SNAKE_CASE   :       Tuple	,				_SCREAMING_SNAKE_CASE   :       int				)     ->					List[str]:


	"""simple docstring"""





	UpperCAmelCase_     :      Optional[int]						=  get_dataset_config_names(_SCREAMING_SNAKE_CASE				)
	assert expected in config_names


@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config"	,				[
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ]	,				)
def  a__       (    _SCREAMING_SNAKE_CASE   :       Optional[int]	,				_SCREAMING_SNAKE_CASE   :       Any	,				_SCREAMING_SNAKE_CASE   :       List[str]				)     ->					Any:


	"""simple docstring"""





	UpperCAmelCase_     :      Any						=  get_dataset_infos(_SCREAMING_SNAKE_CASE				)
	assert list(infos.keys()				) == expected_configs
	UpperCAmelCase_     :      Optional[Any]						=  expected_configs[0]
	assert expected_config in infos
	UpperCAmelCase_     :      Dict						=  infos[expected_config]
	assert info.config_name == expected_config
	assert list(info.splits.keys()				) == expected_splits_in_first_config


@pytest.mark.parametrize(
    "path, expected_config, expected_splits"	,				[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]	,				)
def  a__       (    _SCREAMING_SNAKE_CASE   :       Union[str, Any]	,				_SCREAMING_SNAKE_CASE   :       List[str]	,				_SCREAMING_SNAKE_CASE   :       Dict				)     ->					Any:


	"""simple docstring"""





	UpperCAmelCase_     :      Optional[int]						=  get_dataset_infos(_SCREAMING_SNAKE_CASE				)
	assert expected_config in infos
	UpperCAmelCase_     :      Dict						=  infos[expected_config]
	assert info.config_name == expected_config
	assert list(info.splits.keys()				) == expected_splits





@pytest.mark.parametrize(
    "path, config_name, expected_exception"	,				[
        ("paws", None, ValueError),
    ]	,				)
def  a__       (    _SCREAMING_SNAKE_CASE   :       int	,				_SCREAMING_SNAKE_CASE   :       Optional[int]	,				_SCREAMING_SNAKE_CASE   :       str				)     ->					Any:


	"""simple docstring"""





	with pytest.raises(_SCREAMING_SNAKE_CASE				):
		get_dataset_split_names(_SCREAMING_SNAKE_CASE	,				config_name=_SCREAMING_SNAKE_CASE				)








import copy
import os
from typing import Union

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


__a	 =      logging.get_logger(__name__)

__a	 =      {
    """google/pix2struct-textcaps-base""": (
        """https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json"""
    ),
}






class 	__lowercase					(	__snake_case	):
      UpperCamelCase										=							'''pix2struct_text_model'''
      UpperCamelCase										=							['''past_key_values''']
      UpperCamelCase										=							{
          '''hidden_size''': '''hidden_size''',
          '''num_attention_heads''': '''num_heads''',
          '''num_hidden_layers''': '''num_layers''',
      }





      def __init__(		self    :       Optional[Any]       ,							__lowerCamelCase    :       Optional[int]=5_0_2_4_4       ,							__lowerCamelCase    :       int=7_6_8       ,							__lowerCamelCase    :       Union[str, Any]=6_4       ,							__lowerCamelCase    :       Dict=2_0_4_8       ,							__lowerCamelCase    :       int=1_2       ,							__lowerCamelCase    :       Any=1_2       ,							__lowerCamelCase    :       Union[str, Any]=3_2       ,							__lowerCamelCase    :       Any=1_2_8       ,							__lowerCamelCase    :       Union[str, Any]=0.1       ,							__lowerCamelCase    :       str=1e-6       ,							__lowerCamelCase    :       int=1.0       ,							__lowerCamelCase    :       Optional[int]="gelu_new"       ,							__lowerCamelCase    :       int=0       ,							__lowerCamelCase    :       int=False       ,							__lowerCamelCase    :       Optional[Any]=0       ,							__lowerCamelCase    :       Dict=1       ,							__lowerCamelCase    :       List[Any]=False       ,							__lowerCamelCase    :       Optional[Any]=True       ,							**__lowerCamelCase    :       Dict       ,							)     -> int:






         """simple docstring"""







         UpperCAmelCase      					=  vocab_size
         UpperCAmelCase      					=  hidden_size
         UpperCAmelCase      					=  d_kv
         UpperCAmelCase      					=  d_ff
         UpperCAmelCase      					=  num_layers
         UpperCAmelCase      					=  num_heads
         UpperCAmelCase      					=  relative_attention_num_buckets
         UpperCAmelCase      					=  relative_attention_max_distance
         UpperCAmelCase      					=  dropout_rate
         UpperCAmelCase      					=  layer_norm_epsilon
         UpperCAmelCase      					=  initializer_factor
         UpperCAmelCase      					=  use_cache

         UpperCAmelCase      					=  eos_token_id
         UpperCAmelCase      					=  decoder_start_token_id

         # for backwards compatibility
         UpperCAmelCase      					=  dense_act_fn

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





      @classmethod
      def 							_lowercase					(		cls    :       List[Any]       ,							__lowerCamelCase    :       Union[str, os.PathLike]       ,							**__lowerCamelCase    :       Any							)     -> "PretrainedConfig":






         """simple docstring"""







         cls._set_token_in_kwargs(__lowerCamelCase							)

         UpperCAmelCase					,	UpperCAmelCase      					=  cls.get_config_dict(__lowerCamelCase       ,							**__lowerCamelCase							)

         # get the text config dict if we are loading from Pix2StructConfig
         if config_dict.get("""model_type"""							) == "pix2struct":
            UpperCAmelCase      					=  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(__lowerCamelCase       ,							**__lowerCamelCase							)






class 	__lowercase					(	__snake_case	):
      UpperCamelCase										=							'''pix2struct_vision_model'''





      def __init__(		self    :       str       ,							__lowerCamelCase    :       Any=7_6_8       ,							__lowerCamelCase    :       Dict=7_6_8       ,							__lowerCamelCase    :       List[Any]=2_0_4_8       ,							__lowerCamelCase    :       List[Any]=6_4       ,							__lowerCamelCase    :       Union[str, Any]=1_2       ,							__lowerCamelCase    :       Optional[int]=1_2       ,							__lowerCamelCase    :       Tuple="gelu_new"       ,							__lowerCamelCase    :       Tuple=1e-6       ,							__lowerCamelCase    :       Any=0.0       ,							__lowerCamelCase    :       List[Any]=0.0       ,							__lowerCamelCase    :       int=1e-1_0       ,							__lowerCamelCase    :       Union[str, Any]=1.0       ,							__lowerCamelCase    :       Any=4_0_9_6       ,							__lowerCamelCase    :       Dict=3_2       ,							__lowerCamelCase    :       Any=1_2_8       ,							**__lowerCamelCase    :       Optional[int]       ,							)     -> Optional[Any]:






         """simple docstring"""







         super().__init__(**__lowerCamelCase							)

         UpperCAmelCase      					=  hidden_size
         UpperCAmelCase      					=  patch_embed_hidden_size
         UpperCAmelCase      					=  d_ff
         UpperCAmelCase      					=  dropout_rate
         UpperCAmelCase      					=  num_hidden_layers
         UpperCAmelCase      					=  num_attention_heads
         UpperCAmelCase      					=  initializer_range
         UpperCAmelCase      					=  initializer_factor
         UpperCAmelCase      					=  attention_dropout
         UpperCAmelCase      					=  layer_norm_eps
         UpperCAmelCase      					=  dense_act_fn
         UpperCAmelCase      					=  seq_len
         UpperCAmelCase      					=  relative_attention_num_buckets
         UpperCAmelCase      					=  relative_attention_max_distance
         UpperCAmelCase      					=  d_kv





      @classmethod
      def 							_lowercase					(		cls    :       Any       ,							__lowerCamelCase    :       Union[str, os.PathLike]       ,							**__lowerCamelCase    :       int							)     -> "PretrainedConfig":






         """simple docstring"""







         cls._set_token_in_kwargs(__lowerCamelCase							)

         UpperCAmelCase					,	UpperCAmelCase      					=  cls.get_config_dict(__lowerCamelCase       ,							**__lowerCamelCase							)

         # get the vision config dict if we are loading from Pix2StructConfig
         if config_dict.get("""model_type"""							) == "pix2struct":
            UpperCAmelCase      					=  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(__lowerCamelCase       ,							**__lowerCamelCase							)






class 	__lowercase					(	__snake_case	):
      UpperCamelCase										=							'''pix2struct'''
      UpperCamelCase										=							True





      def __init__(		self    :       str       ,							__lowerCamelCase    :       str=None       ,							__lowerCamelCase    :       Dict=None       ,							__lowerCamelCase    :       Optional[Any]=1.0       ,							__lowerCamelCase    :       str=0.02       ,							__lowerCamelCase    :       Any=False       ,							__lowerCamelCase    :       Tuple=False       ,							__lowerCamelCase    :       str=True       ,							**__lowerCamelCase    :       Dict       ,							)     -> Optional[Any]:






         """simple docstring"""







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

         if text_config is None:
            UpperCAmelCase      					=  {}
            logger.info("""text_config is None. Initializing the Pix2StructTextConfig with default values."""							)

         if vision_config is None:
            UpperCAmelCase      					=  {}
            logger.info("""vision_config is None. Initializing the Pix2StructVisionConfig with default values."""							)

         UpperCAmelCase      					=  PixaStructTextConfig(**__lowerCamelCase							)
         UpperCAmelCase      					=  PixaStructVisionConfig(**__lowerCamelCase							)

         UpperCAmelCase      					=  self.text_config.decoder_start_token_id
         UpperCAmelCase      					=  self.text_config.pad_token_id
         UpperCAmelCase      					=  self.text_config.eos_token_id

         UpperCAmelCase      					=  initializer_factor
         UpperCAmelCase      					=  initializer_range

         UpperCAmelCase      					=  self.initializer_range
         UpperCAmelCase      					=  self.initializer_range

         UpperCAmelCase      					=  is_vqa





      @classmethod
      def 							_lowercase					(		cls    :       List[Any]       ,							__lowerCamelCase    :       PixaStructTextConfig       ,							__lowerCamelCase    :       PixaStructVisionConfig       ,							**__lowerCamelCase    :       Dict							)     -> Union[str, Any]:






         """simple docstring"""







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





      def 							_lowercase					(		self    :       List[str]							)     -> Optional[int]:






         """simple docstring"""







         UpperCAmelCase      					=  copy.deepcopy(self.__dict__							)
         UpperCAmelCase      					=  self.text_config.to_dict()
         UpperCAmelCase      					=  self.vision_config.to_dict()
         UpperCAmelCase      					=  self.__class__.model_type
         return output



