"""simple docstring"""



import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


SCREAMING_SNAKE_CASE__:Tuple			=	get_logger(__name__)






class 				snake_case__     :
 _snake_case   :			Optional[Any]           =		"""dummy_data"""
 _snake_case   :			str           =		"""datasets"""
 _snake_case   :			List[Any]           =		False


 def __init__(				self  ,						lowerCamelCase  ,						lowerCamelCase  ,						lowerCamelCase  ,						lowerCamelCase = None  ,						lowerCamelCase = False  ,						lowerCamelCase = True  ,						lowerCamelCase = None  ,						):
        __a     				=  0
        __a     				=  dataset_name
        __a     				=  cache_dir
        __a     				=  use_local_dummy_data
        __a     				=  config
        # download_callbacks take a single url as input
        __a     				=  download_callbacks or []
        # if False, it doesn't load existing files and it returns the paths of the dummy files relative
        # to the dummy_data zip file root
        __a     				=  load_existing_dummy_data

        # TODO(PVP, QL) might need to make this more general
        __a     				=  str(lowerCamelCase		)
        # to be downloaded
        __a     				=  None
        __a     				=  None


 @property
 def 		a__ (				self		):
        if self._dummy_file is None:
               __a     				=  self.download_dummy_data()
        return self._dummy_file


 @property
 def 		a__ (				self		):
        if self.config is not None:
               # structure is dummy / config_name / version_name
               return os.path.join("dummy"  ,						self.config.name  ,						self.version_name		)
        # structure is dummy / version_name
        return os.path.join("dummy"  ,						self.version_name		)


 @property
 def 		a__ (				self		):
        return os.path.join(self.dummy_data_folder  ,						"dummy_data.zip"		)


 def 		a__ (				self		):
        __a     				=  (
            self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
        )

        __a     				=  cached_path(
            lowerCamelCase  ,						cache_dir=self.cache_dir  ,						extract_compressed_file=lowerCamelCase  ,						force_extract=lowerCamelCase		)

        return os.path.join(lowerCamelCase  ,						self.dummy_file_name		)


 @property
 def 		a__ (				self		):
        return os.path.join(self.datasets_scripts_dir  ,						self.dataset_name  ,						self.dummy_zip_file		)


 @property
 def 		a__ (				self		):
        if self._bucket_url is None:
               __a     				=  hf_github_url(self.dataset_name  ,						self.dummy_zip_file.replace(os.sep  ,						"/"		)		)
        return self._bucket_url


 @property
 def 		a__ (				self		):
        # return full path if its a dir
        if os.path.isdir(self.dummy_file		):
               return self.dummy_file
        # else cut off path to file -> example `xsum`.
        return "/".join(self.dummy_file.replace(os.sep  ,						"/"		).split("/"		)[:-1]		)


 def 		a__ (				self  ,						lowerCamelCase  ,						*lowerCamelCase		):
        if self.load_existing_dummy_data:
               # dummy data is downloaded and tested
               __a     				=  self.dummy_file
        else:
               # dummy data cannot be downloaded and only the path to dummy file is returned
               __a     				=  self.dummy_file_name

        # special case when data_url is a dict
        if isinstance(lowerCamelCase  ,						lowerCamelCase		):
               return self.create_dummy_data_dict(lowerCamelCase  ,						lowerCamelCase		)
        elif isinstance(lowerCamelCase  ,						(list, tuple)		):
               return self.create_dummy_data_list(lowerCamelCase  ,						lowerCamelCase		)
        else:
               return self.create_dummy_data_single(lowerCamelCase  ,						lowerCamelCase		)


 def 		a__ (				self  ,						lowerCamelCase  ,						*lowerCamelCase		):
        return self.download_and_extract(lowerCamelCase		)


 def 		a__ (				self  ,						lowerCamelCase  ,						lowerCamelCase		):
        return self.download_and_extract(lowerCamelCase		)


 def 		a__ (				self  ,						lowerCamelCase  ,						*lowerCamelCase  ,						**lowerCamelCase		):
        return path


 def 		a__ (				self		):
        return {}


 def 		a__ (				self  ,						lowerCamelCase  ,						lowerCamelCase		):
        __a     				=  {}
        for key, single_urls in data_url.items():
               for download_callback in self.download_callbacks:
                      if isinstance(lowerCamelCase  ,						lowerCamelCase		):
                             for single_url in single_urls:
                                    download_callback(lowerCamelCase		)
                      else:
                             __a     				=  single_urls
                             download_callback(lowerCamelCase		)
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
               if isinstance(lowerCamelCase  ,						lowerCamelCase		):
                      __a     				=  [os.path.join(lowerCamelCase  ,						urllib.parse.quote_plus(Path(lowerCamelCase		).name		)		) for x in single_urls]
               else:
                      __a     				=  single_urls
                      __a     				=  os.path.join(lowerCamelCase  ,						urllib.parse.quote_plus(Path(lowerCamelCase		).name		)		)
               __a     				=  value

        # make sure that values are unique
        if all(isinstance(lowerCamelCase  ,						lowerCamelCase		) for i in dummy_data_dict.values()		) and len(set(dummy_data_dict.values()		)		) < len(
            dummy_data_dict.values()		):
               # append key to value to make its name unique
               __a     				=  {key: value + key for key, value in dummy_data_dict.items()}

        return dummy_data_dict


 def 		a__ (				self  ,						lowerCamelCase  ,						lowerCamelCase		):
        __a     				=  []
        # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
        __a     				=  all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"  ,						lowerCamelCase		)		) for url in data_url		)
        __a     				=  all(
            url.startswith("https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"		) for url in data_url		)
        if data_url and (is_tf_records or is_pubmed_records):
               __a     				=  [data_url[0]] * len(lowerCamelCase		)
        for single_url in data_url:
               for download_callback in self.download_callbacks:
                      download_callback(lowerCamelCase		)
               # we force the name of each key to be the last file / folder name of the url path
               # if the url has arguments, we need to encode them with urllib.parse.quote_plus
               __a     				=  os.path.join(lowerCamelCase  ,						urllib.parse.quote_plus(single_url.split("/"		)[-1]		)		)
               dummy_data_list.append(lowerCamelCase		)
        return dummy_data_list


 def 		a__ (				self  ,						lowerCamelCase  ,						lowerCamelCase		):
        for download_callback in self.download_callbacks:
               download_callback(lowerCamelCase		)
        # we force the name of each key to be the last file / folder name of the url path
        # if the url has arguments, we need to encode them with urllib.parse.quote_plus
        __a     				=  os.path.join(lowerCamelCase  ,						urllib.parse.quote_plus(data_url.split("/"		)[-1]		)		)
        if os.path.exists(lowerCamelCase		) or not self.load_existing_dummy_data:
               return value
        else:
               # Backward compatibility, maybe deprecate at one point.
               # For many datasets with single url calls to dl_manager.download_and_extract,
               # the dummy_data.zip file is actually the zipped downloaded file
               # while now we expected the dummy_data.zip file to be a directory containing
               # the downloaded file.
               return path_to_dummy_data


 def 		a__ (				self		):
        pass


 def 		a__ (				self		):
        pass


 def 		a__ (				self  ,						lowerCamelCase		):
        def _iter_archive_members(lowerCamelCase		):
               # this preserves the order of the members inside the ZIP archive
               __a     				=  Path(self.dummy_file		).parent
               __a     				=  path.relative_to(lowerCamelCase		)
               with ZipFile(self.local_path_to_dummy_data		) as zip_file:
                      __a     				=  zip_file.namelist()
               for member in members:
                      if member.startswith(relative_path.as_posix()		):
                             yield dummy_parent_path.joinpath(lowerCamelCase		)

        __a     				=  Path(lowerCamelCase		)
        __a     				=  _iter_archive_members(lowerCamelCase		) if self.use_local_dummy_data else path.rglob("*"		)
        for file_path in file_paths:
               if file_path.is_file() and not file_path.name.startswith((".", "__")		):
                      yield file_path.relative_to(lowerCamelCase		).as_posix(), file_path.open("rb"		)






 def 		a__ (				self  ,						lowerCamelCase		):
        if not isinstance(lowerCamelCase  ,						lowerCamelCase		):
               __a     				=  [paths]
        for path in paths:
               if os.path.isfile(lowerCamelCase		):
                      if os.path.basename(lowerCamelCase		).startswith((".", "__")		):
                             return
                      yield path
               else:
                      for dirpath, dirnames, filenames in os.walk(lowerCamelCase		):
                             if os.path.basename(lowerCamelCase		).startswith((".", "__")		):
                                    continue
                             dirnames.sort()
                             for filename in sorted(lowerCamelCase		):
                                    if filename.startswith((".", "__")		):
                                           continue
                                    yield os.path.join(lowerCamelCase  ,						lowerCamelCase		)

"""simple docstring"""



from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


SCREAMING_SNAKE_CASE__:List[str]			=	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__:int			=	{
    """microsoft/focalnet-tiny""": """https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json""",
}






class 				snake_case__     (   snake_case_,		snake_case_   ):
 _snake_case   :			List[Any]           =		"""focalnet"""


 def __init__(				self  ,						lowerCamelCase=224  ,						lowerCamelCase=4  ,						lowerCamelCase=3  ,						lowerCamelCase=96  ,						lowerCamelCase=False  ,						lowerCamelCase=[192, 384, 768, 768]  ,						lowerCamelCase=[2, 2, 6, 2]  ,						lowerCamelCase=[2, 2, 2, 2]  ,						lowerCamelCase=[3, 3, 3, 3]  ,						lowerCamelCase="gelu"  ,						lowerCamelCase=4.0  ,						lowerCamelCase=0.0  ,						lowerCamelCase=0.1  ,						lowerCamelCase=False  ,						lowerCamelCase=1E-4  ,						lowerCamelCase=False  ,						lowerCamelCase=False  ,						lowerCamelCase=False  ,						lowerCamelCase=0.02  ,						lowerCamelCase=1E-5  ,						lowerCamelCase=32  ,						lowerCamelCase=None  ,						lowerCamelCase=None  ,						**lowerCamelCase  ,						):
        super().__init__(**lowerCamelCase		)

        __a     				=  image_size
        __a     				=  patch_size
        __a     				=  num_channels
        __a     				=  embed_dim
        __a     				=  use_conv_embed
        __a     				=  hidden_sizes
        __a     				=  depths
        __a     				=  focal_levels
        __a     				=  focal_windows
        __a     				=  hidden_act
        __a     				=  mlp_ratio
        __a     				=  hidden_dropout_prob
        __a     				=  drop_path_rate
        __a     				=  use_layerscale
        __a     				=  layerscale_value
        __a     				=  use_post_layernorm
        __a     				=  use_post_layernorm_in_modulation
        __a     				=  normalize_modulator
        __a     				=  initializer_range
        __a     				=  layer_norm_eps
        __a     				=  encoder_stride
        __a     				=  ["stem"] + [F"stage{idx}" for idx in range(1  ,						len(self.depths		) + 1		)]
        __a				, __a     				=  get_aligned_output_features_output_indices(
            out_features=lowerCamelCase  ,						out_indices=lowerCamelCase  ,						stage_names=self.stage_names		)
