

import copy
import os
from typing import Union

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


_lowerCamelCase				:   Optional[int]					   =							logging.get_logger(__name__)

_lowerCamelCase				:   int					   =							{
    "microsoft/git-base": "https://huggingface.co/microsoft/git-base/resolve/main/config.json",
}





class 					__UpperCAmelCase     (       lowerCamelCase__						):
   UpperCamelCase        =     """git_vision_model"""



   def __init__(							self							:     Dict,		__A							:     Union[str, Any]=7_6_8,		__A							:     List[Any]=3_0_7_2,		__A							:     str=1_2,		__A							:     List[Any]=1_2,		__A							:     Optional[Any]=3,		__A							:     int=2_2_4,		__A							:     str=1_6,		__A							:     int="quick_gelu",		__A							:     Union[str, Any]=1E-5,		__A							:     Tuple=0.0,		__A							:     Optional[Any]=0.0_2,		**__A							:     Optional[int],		):
     super().__init__(**__a						)

     UpperCAmelCase       :							Union[str, Any]  = hidden_size
     UpperCAmelCase       :							Optional[int]  = intermediate_size
     UpperCAmelCase       :							List[str]  = num_hidden_layers
     UpperCAmelCase       :							Optional[Any]  = num_attention_heads
     UpperCAmelCase       :							Optional[int]  = num_channels
     UpperCAmelCase       :							List[Any]  = patch_size
     UpperCAmelCase       :							List[str]  = image_size
     UpperCAmelCase       :							Optional[int]  = initializer_range
     UpperCAmelCase       :							Union[str, Any]  = attention_dropout
     UpperCAmelCase       :							Dict  = layer_norm_eps
     UpperCAmelCase       :							Union[str, Any]  = hidden_act





   @classmethod
   def        __magic_name__    (							cls							:     Union[str, Any],		__A							:     List[Any],		**__A							:     Dict						):
     cls._set_token_in_kwargs(__a						)

     UpperCAmelCase ,						UpperCAmelCase       :							Optional[Any]  = cls.get_config_dict(__a,		**__a						)

     # get the vision config dict if we are loading from GITConfig
     if config_dict.get('''model_type'''						) == "git":
       UpperCAmelCase       :							Union[str, Any]  = 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 					__UpperCAmelCase     (       lowerCamelCase__						):
   UpperCamelCase        =     """git"""



   def __init__(							self							:     Union[str, Any],		__A							:     Optional[int]=None,		__A							:     Any=3_0_5_2_2,		__A							:     str=7_6_8,		__A							:     Dict=6,		__A							:     List[str]=1_2,		__A							:     Dict=3_0_7_2,		__A							:     Optional[Any]="gelu",		__A							:     Tuple=0.1,		__A							:     List[str]=0.1,		__A							:     Union[str, Any]=1_0_2_4,		__A							:     Any=0.0_2,		__A							:     List[Any]=1E-12,		__A							:     Dict=0,		__A							:     int="absolute",		__A							:     Dict=True,		__A							:     Union[str, Any]=False,		__A							:     str=1_0_1,		__A							:     Dict=1_0_2,		__A							:     str=None,		**__A							:     List[Any],		):
     super().__init__(bos_token_id=__a,		eos_token_id=__a,		pad_token_id=__a,		**__a						)

     if vision_config is None:
       UpperCAmelCase       :							Optional[int]  = {}
       logger.info('''vision_config is None. initializing the GitVisionConfig with default values.'''						)

     UpperCAmelCase       :							Union[str, Any]  = GitVisionConfig(**__a						)
     UpperCAmelCase       :							str  = vocab_size
     UpperCAmelCase       :							Optional[int]  = hidden_size
     UpperCAmelCase       :							Optional[int]  = num_hidden_layers
     UpperCAmelCase       :							List[Any]  = num_attention_heads
     UpperCAmelCase       :							Any  = hidden_act
     UpperCAmelCase       :							Optional[Any]  = intermediate_size
     UpperCAmelCase       :							Tuple  = hidden_dropout_prob
     UpperCAmelCase       :							Tuple  = attention_probs_dropout_prob
     UpperCAmelCase       :							str  = max_position_embeddings
     UpperCAmelCase       :							Any  = initializer_range
     UpperCAmelCase       :							List[str]  = layer_norm_eps
     UpperCAmelCase       :							str  = position_embedding_type
     UpperCAmelCase       :							str  = use_cache
     UpperCAmelCase       :							List[Any]  = tie_word_embeddings
     UpperCAmelCase       :							List[str]  = num_image_with_embedding

     UpperCAmelCase       :							Union[str, Any]  = bos_token_id
     UpperCAmelCase       :							Optional[Any]  = eos_token_id





   def        __magic_name__    (							self							:     int						):
     UpperCAmelCase       :							Dict  = copy.deepcopy(self.__dict__						)
     UpperCAmelCase       :							str  = self.vision_config.to_dict()
     UpperCAmelCase       :							List[Any]  = self.__class__.model_type
     return output







"""simple docstring"""





import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


_a														=		"""http://www.mocksite.com/file1.txt"""
_a														=		"""\"text\": [\"foo\", \"foo\"]"""
_a														=		"""6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8"""






class     _UpperCAmelCase:
		lowercase__						=      2_00
		lowercase__						=      {'Content-Length': '100'}
		lowercase__						=      {}



		def 						UpperCAmelCase							(					self				,		**__a)       ->       Optional[int]:






							'''simple docstring'''
							return [bytes(__a				,		'''utf-8''')]





def       lowerCamelCase__		(			*__snake_case,     **__snake_case	)							->		int:


					"""simple docstring"""





					return MockResponse()



@pytest.mark.parametrize('''urls_type''',     [str, list, dict]	)
def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		Dict:


					"""simple docstring"""





					import requests

					monkeypatch.setattr(__snake_case,     '''request''',     __snake_case	)

					_UpperCamelCase							 =  URL
					if issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  url
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  [url]
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  {'''train''': url}
					_UpperCamelCase							 =  '''dummy'''
					_UpperCamelCase							 =  '''downloads'''
					_UpperCamelCase							 =  tmp_path
					_UpperCamelCase							 =  DownloadConfig(
					    cache_dir=os.path.join(__snake_case,     __snake_case	),     use_etag=__snake_case,     )
					_UpperCamelCase							 =  DownloadManager(dataset_name=__snake_case,     download_config=__snake_case	)
					_UpperCamelCase							 =  dl_manager.download(__snake_case	)
					_UpperCamelCase							 =  urls
					for downloaded_paths in [downloaded_paths]:
										if isinstance(__snake_case,     __snake_case	):
															_UpperCamelCase							 =  [downloaded_paths]
															_UpperCamelCase							 =  [urls]
										elif isinstance(__snake_case,     __snake_case	):
															assert "train" in downloaded_paths.keys()
															_UpperCamelCase							 =  downloaded_paths.values()
															_UpperCamelCase							 =  urls.values()
										assert downloaded_paths
										for downloaded_path, input_url in zip(__snake_case,     __snake_case	):
															assert downloaded_path == dl_manager.downloaded_paths[input_url]
															_UpperCamelCase							 =  Path(__snake_case	)
															_UpperCamelCase							 =  downloaded_path.parts
															assert parts[-1] == HASH
															assert parts[-2] == cache_subdir
															assert downloaded_path.exists()
															_UpperCamelCase							 =  downloaded_path.read_text()
															assert content == CONTENT
															_UpperCamelCase							 =  downloaded_path.with_suffix('''.json'''	)
															assert metadata_downloaded_path.exists()
															_UpperCamelCase							 =  json.loads(metadata_downloaded_path.read_text()	)
															assert metadata_content == {"url": URL, "etag": None}



@pytest.mark.parametrize('''paths_type''',     [str, list, dict]	)
def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase							 =  str(__snake_case	)
					if issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  filename
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  [filename]
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  {'''train''': filename}
					_UpperCamelCase							 =  '''dummy'''
					_UpperCamelCase							 =  xz_file.parent
					_UpperCamelCase							 =  '''extracted'''
					_UpperCamelCase							 =  DownloadConfig(
					    cache_dir=__snake_case,     use_etag=__snake_case,     )
					_UpperCamelCase							 =  DownloadManager(dataset_name=__snake_case,     download_config=__snake_case	)
					_UpperCamelCase							 =  dl_manager.extract(__snake_case	)
					_UpperCamelCase							 =  paths
					for extracted_paths in [extracted_paths]:
										if isinstance(__snake_case,     __snake_case	):
															_UpperCamelCase							 =  [extracted_paths]
															_UpperCamelCase							 =  [paths]
										elif isinstance(__snake_case,     __snake_case	):
															assert "train" in extracted_paths.keys()
															_UpperCamelCase							 =  extracted_paths.values()
															_UpperCamelCase							 =  paths.values()
										assert extracted_paths
										for extracted_path, input_path in zip(__snake_case,     __snake_case	):
															assert extracted_path == dl_manager.extracted_paths[input_path]
															_UpperCamelCase							 =  Path(__snake_case	)
															_UpperCamelCase							 =  extracted_path.parts
															assert parts[-1] == hash_url_to_filename(__snake_case,     etag=__snake_case	)
															assert parts[-2] == extracted_subdir
															assert extracted_path.exists()
															_UpperCamelCase							 =  extracted_path.read_text()
															_UpperCamelCase							 =  text_file.read_text()
															assert extracted_file_content == expected_file_content



def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		Optional[Any]:


					"""simple docstring"""





					assert path.endswith('''.jsonl'''	)
					for num_items, line in enumerate(__snake_case,     start=1	):
										_UpperCamelCase							 =  json.loads(line.decode('''utf-8'''	)	)
										assert item.keys() == {"col_1", "col_2", "col_3"}
					assert num_items == 4



@pytest.mark.parametrize('''archive_jsonl''',     ['''tar_jsonl_path''', '''zip_jsonl_path''']	)
def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		int:


					"""simple docstring"""





					_UpperCamelCase							 =  request.getfixturevalue(__snake_case	)
					_UpperCamelCase							 =  DownloadManager()
					for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
										_test_jsonl(__snake_case,     __snake_case	)
					assert num_jsonl == 2



@pytest.mark.parametrize('''archive_nested_jsonl''',     ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']	)
def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		int:


					"""simple docstring"""





					_UpperCamelCase							 =  request.getfixturevalue(__snake_case	)
					_UpperCamelCase							 =  DownloadManager()
					for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
										for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
															_test_jsonl(__snake_case,     __snake_case	)
					assert num_tar == 1
					assert num_jsonl == 2



def       lowerCamelCase__		(			__snake_case	)							->		Dict:


					"""simple docstring"""





					_UpperCamelCase							 =  DownloadManager()
					for num_file, file in enumerate(dl_manager.iter_files(__snake_case	),     start=1	):
										assert os.path.basename(__snake_case	) == ("test.txt" if num_file == 1 else "train.txt")
					assert num_file == 2






