"""simple docstring"""
import copy
import os
from typing import TYPE_CHECKING, List, Union


if TYPE_CHECKING:
					pass

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


SCREAMING_SNAKE_CASE__					  =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__					  =     {
    "kakaobrain/align-base": "https://huggingface.co/kakaobrain/align-base/resolve/main/config.json",
}



class      lowerCAmelCase_			(	lowerCAmelCase    ):



				"""simple docstring"""
				_lowerCAmelCase   :			Dict	     =  """align_text_model"""

				def __init__( self						,			lowerCAmelCase=3_05_22						,			lowerCAmelCase=7_68						,			lowerCAmelCase=12						,			lowerCAmelCase=12						,			lowerCAmelCase=30_72						,			lowerCAmelCase="gelu"						,			lowerCAmelCase=0.1						,			lowerCAmelCase=0.1						,			lowerCAmelCase=5_12						,			lowerCAmelCase=2						,			lowerCAmelCase=0.02						,			lowerCAmelCase=1E-12						,			lowerCAmelCase=0						,			lowerCAmelCase="absolute"						,			lowerCAmelCase=True						,			**lowerCAmelCase						,			):






										"""simple docstring"""

										super().__init__(**_a			)

										snake_case	    =	vocab_size
										snake_case	    =	hidden_size
										snake_case	    =	num_hidden_layers
										snake_case	    =	num_attention_heads
										snake_case	    =	hidden_act
										snake_case	    =	intermediate_size
										snake_case	    =	hidden_dropout_prob
										snake_case	    =	attention_probs_dropout_prob
										snake_case	    =	max_position_embeddings
										snake_case	    =	type_vocab_size
										snake_case	    =	initializer_range
										snake_case	    =	layer_norm_eps
										snake_case	    =	position_embedding_type
										snake_case	    =	use_cache
										snake_case	    =	pad_token_id

				@classmethod
				def 						snake_case       ( cls						,			lowerCAmelCase						,			**lowerCAmelCase			):






										"""simple docstring"""

										cls._set_token_in_kwargs(_a			)

										snake_case	    =	cls.get_config_dict(_a						,			**_a			)

										# get the text config dict if we are loading from AlignConfig
										if config_dict.get('model_type'			) == "align":
																snake_case	    =	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(_a						,			**_a			)





class      lowerCAmelCase_			(	lowerCAmelCase    ):



				"""simple docstring"""
				_lowerCAmelCase   :			List[Any]	     =  """align_vision_model"""

				def __init__( self						,			lowerCAmelCase = 3						,			lowerCAmelCase = 6_00						,			lowerCAmelCase = 2.0						,			lowerCAmelCase = 3.1						,			lowerCAmelCase = 8						,			lowerCAmelCase = [3, 3, 5, 3, 5, 5, 3]						,			lowerCAmelCase = [32, 16, 24, 40, 80, 1_12, 1_92]						,			lowerCAmelCase = [16, 24, 40, 80, 1_12, 1_92, 3_20]						,			lowerCAmelCase = []						,			lowerCAmelCase = [1, 2, 2, 2, 1, 2, 1]						,			lowerCAmelCase = [1, 2, 2, 3, 3, 4, 1]						,			lowerCAmelCase = [1, 6, 6, 6, 6, 6, 6]						,			lowerCAmelCase = 0.25						,			lowerCAmelCase = "swish"						,			lowerCAmelCase = 25_60						,			lowerCAmelCase = "mean"						,			lowerCAmelCase = 0.02						,			lowerCAmelCase = 0.0_01						,			lowerCAmelCase = 0.99						,			lowerCAmelCase = 0.2						,			**lowerCAmelCase						,			):






										"""simple docstring"""

										super().__init__(**_a			)

										snake_case	    =	num_channels
										snake_case	    =	image_size
										snake_case	    =	width_coefficient
										snake_case	    =	depth_coefficient
										snake_case	    =	depth_divisor
										snake_case	    =	kernel_sizes
										snake_case	    =	in_channels
										snake_case	    =	out_channels
										snake_case	    =	depthwise_padding
										snake_case	    =	strides
										snake_case	    =	num_block_repeats
										snake_case	    =	expand_ratios
										snake_case	    =	squeeze_expansion_ratio
										snake_case	    =	hidden_act
										snake_case	    =	hidden_dim
										snake_case	    =	pooling_type
										snake_case	    =	initializer_range
										snake_case	    =	batch_norm_eps
										snake_case	    =	batch_norm_momentum
										snake_case	    =	drop_connect_rate
										snake_case	    =	sum(_a			) * 4

				@classmethod
				def 						snake_case       ( cls						,			lowerCAmelCase						,			**lowerCAmelCase			):






										"""simple docstring"""

										cls._set_token_in_kwargs(_a			)

										snake_case	    =	cls.get_config_dict(_a						,			**_a			)

										# get the vision config dict if we are loading from AlignConfig
										if config_dict.get('model_type'			) == "align":
																snake_case	    =	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(_a						,			**_a			)





class      lowerCAmelCase_			(	lowerCAmelCase    ):



				"""simple docstring"""
				_lowerCAmelCase   :			Any	     =  """align"""
				_lowerCAmelCase   :			List[str]	     =  True

				def __init__( self						,			lowerCAmelCase=None						,			lowerCAmelCase=None						,			lowerCAmelCase=6_40						,			lowerCAmelCase=1.0						,			lowerCAmelCase=0.02						,			**lowerCAmelCase						,			):






										"""simple docstring"""

										super().__init__(**_a			)

										if text_config is None:
																snake_case	    =	{}
																logger.info('text_config is None. Initializing the AlignTextConfig with default values.'			)

										if vision_config is None:
																snake_case	    =	{}
																logger.info('vision_config is None. Initializing the AlignVisionConfig with default values.'			)

										snake_case	    =	AlignTextConfig(**_a			)
										snake_case	    =	AlignVisionConfig(**_a			)

										snake_case	    =	projection_dim
										snake_case	    =	temperature_init_value
										snake_case	    =	initializer_range

				@classmethod
				def 						snake_case       ( cls						,			lowerCAmelCase						,			lowerCAmelCase						,			**lowerCAmelCase			):






										"""simple docstring"""

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

				def 						snake_case       ( self			):






										"""simple docstring"""

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




import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard






def   lowerCAmelCase_						(					_snake_case      :  List[Any]   )				->		List[Any]:







	'''simple docstring'''


	assert "mock" in _fsspec_registry
	assert "bz2" in _fsspec_registry






def   lowerCAmelCase_						(					)				->		Tuple:







	'''simple docstring'''


	assert "mock" not in _fsspec_registry
	assert "bz2" in _fsspec_registry






def   lowerCAmelCase_						(					)				->		Union[str, Any]:







	'''simple docstring'''


	__magic_name__		:		Dict	   =     "mock-s3-bucket"
	__magic_name__		:		Any	   =     F'''s3://{mock_bucket}'''
	__magic_name__		:		str	   =     extract_path_from_uri(_snake_case   )
	assert dataset_path.startswith("s3://"   ) is False

	__magic_name__		:		Tuple	   =     "./local/path"
	__magic_name__		:		Optional[Any]	   =     extract_path_from_uri(_snake_case   )
	assert dataset_path == new_dataset_path






def   lowerCAmelCase_						(					_snake_case      :  List[str]   )				->		Optional[Any]:







	'''simple docstring'''


	__magic_name__		:		str	   =     is_remote_filesystem(_snake_case   )
	assert is_remote is True

	__magic_name__		:		Optional[int]	   =     fsspec.filesystem("file"   )

	__magic_name__		:		int	   =     is_remote_filesystem(_snake_case   )
	assert is_remote is False






@pytest.mark.parametrize("compression_fs_class"      ,   _snake_case   )
def   lowerCAmelCase_						(					_snake_case      :  Optional[int]      ,   _snake_case      :  Optional[Any]      ,   _snake_case      :  int      ,   _snake_case      :  Tuple      ,   _snake_case      :  Any      ,   _snake_case      :  Union[str, Any]      ,   _snake_case      :  Any   )				->		int:







	'''simple docstring'''


	__magic_name__		:		Any	   =     {"gzip": gz_file, "xz": xz_file, "zstd": zstd_file, "bz2": bza_file, "lz4": lza_file}
	__magic_name__		:		str	   =     input_paths[compression_fs_class.protocol]
	if input_path is None:
		__magic_name__		:		Dict	   =     F'''for \'{compression_fs_class.protocol}\' compression protocol, '''
		if compression_fs_class.protocol == "lz4":
			reason += require_lza.kwargs["reason"]
		elif compression_fs_class.protocol == "zstd":
			reason += require_zstandard.kwargs["reason"]
		pytest.skip(_snake_case   )
	__magic_name__		:		str	   =     fsspec.filesystem(compression_fs_class.protocol      ,   fo=_snake_case   )
	assert isinstance(_snake_case      ,   _snake_case   )
	__magic_name__		:		int	   =     os.path.basename(_snake_case   )
	__magic_name__		:		Optional[int]	   =     expected_filename[: expected_filename.rindex("."   )]
	assert fs.glob("*"   ) == [expected_filename]
	with fs.open(_snake_case      ,   "r"      ,   encoding="utf-8"   ) as f, open(_snake_case      ,   encoding="utf-8"   ) as expected_file:
		assert f.read() == expected_file.read()






@pytest.mark.parametrize("protocol"      ,   ["zip", "gzip"]   )
def   lowerCAmelCase_						(					_snake_case      :  List[Any]      ,   _snake_case      :  Optional[Any]      ,   _snake_case      :  Optional[Any]   )				->		str:







	'''simple docstring'''


	__magic_name__		:		int	   =     {"zip": zip_jsonl_path, "gzip": jsonl_gz_path}
	__magic_name__		:		int	   =     compressed_file_paths[protocol]
	__magic_name__		:		Tuple	   =     "dataset.jsonl"
	__magic_name__		:		List[str]	   =     F'''{protocol}://{member_file_path}::{compressed_file_path}'''
	__magic_name__   ,    *__magic_name__		:		Optional[Any]	   =     fsspec.get_fs_token_paths(_snake_case   )
	assert fs.isfile(_snake_case   )
	assert not fs.isfile("non_existing_" + member_file_path   )






@pytest.mark.integration
def   lowerCAmelCase_						(					_snake_case      :  Union[str, Any]      ,   _snake_case      :  Dict      ,   _snake_case      :  List[str]      ,   _snake_case      :  Tuple   )				->		str:







	'''simple docstring'''


	__magic_name__		:		int	   =     hf_api.dataset_info(_snake_case      ,   token=_snake_case   )
	__magic_name__		:		Optional[Any]	   =     HfFileSystem(repo_info=_snake_case      ,   token=_snake_case   )
	assert sorted(hffs.glob("*"   )   ) == [".gitattributes", "data"]
	assert hffs.isdir("data"   )
	assert hffs.isfile(".gitattributes"   ) and hffs.isfile("data/text_data.txt"   )
	with open(_snake_case   ) as f:
		assert hffs.open("data/text_data.txt"      ,   "r"   ).read() == f.read()






def   lowerCAmelCase_						(					)				->		Optional[int]:







	'''simple docstring'''


	__magic_name__		:		Optional[Any]	   =     "bz2"

	# Import module
	import datasets.filesystems

	# Overwrite protocol and reload
	register_implementation(_snake_case      ,   _snake_case      ,   clobber=_snake_case   )
	with pytest.warns(_snake_case   ) as warning_info:
		importlib.reload(datasets.filesystems   )

	assert len(_snake_case   ) == 1
	assert (
	    str(warning_info[0].message   )
	    == F'''A filesystem protocol was already set for {protocol} and will be overwritten.'''
	)
