

# Lint as: python3
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


a_      =     get_logger(__name__)






class _UpperCamelCase				:
			'''simple docstring'''







			lowerCamelCase__							     ='dummy_data'
			lowerCamelCase__							     ='datasets'
			lowerCamelCase__							     =False
			def __init__(      self				:			Tuple   ,   a				:			str   ,   a				:			str   ,   a				:			Union[Version, str]   ,   a				:			Optional[str] = None   ,   a				:			bool = False   ,   a				:			bool = True   ,   a				:			Optional[List[Callable]] = None   ,   )				->							Optional[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Optional[int]					  =							0
				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							dataset_name
				SCREAMING_SNAKE_CASE :   int					  =							cache_dir
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							use_local_dummy_data
				SCREAMING_SNAKE_CASE :   str					  =							config
				# download_callbacks take a single url as input
				SCREAMING_SNAKE_CASE :   List[Callable]					  =							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
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							load_existing_dummy_data

				# TODO(PVP, QL) might need to make this more general
				SCREAMING_SNAKE_CASE :   List[str]					  =							str(a						)
				# to be downloaded
				SCREAMING_SNAKE_CASE :   List[Any]					  =							None
				SCREAMING_SNAKE_CASE :   Dict					  =							None
			@property
			def 				__UpperCamelCase			(      self				:			Dict						)				->							Union[str, Any]:

				"""simple docstring"""

				if self._dummy_file is None:
					SCREAMING_SNAKE_CASE :   Optional[int]					  =							self.download_dummy_data()
				return self._dummy_file
			@property
			def 				__UpperCamelCase			(      self				:			Optional[int]						)				->							Optional[Any]:

				"""simple docstring"""

				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 				__UpperCamelCase			(      self				:			List[str]						)				->							Union[str, Any]:

				"""simple docstring"""

				return os.path.join(self.dummy_data_folder   ,   "dummy_data.zip"						)
			def 				__UpperCamelCase			(      self				:			Any						)				->							List[str]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Tuple					  =							(
				    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
				)

				SCREAMING_SNAKE_CASE :   str					  =							cached_path(
				    a   ,   cache_dir=self.cache_dir   ,   extract_compressed_file=a   ,   force_extract=a						)

				return os.path.join(a   ,   self.dummy_file_name						)
			@property
			def 				__UpperCamelCase			(      self				:			Optional[Any]						)				->							Union[str, Any]:

				"""simple docstring"""

				return os.path.join(self.datasets_scripts_dir   ,   self.dataset_name   ,   self.dummy_zip_file						)
			@property
			def 				__UpperCamelCase			(      self				:			Any						)				->							Optional[int]:

				"""simple docstring"""

				if self._bucket_url is None:
					SCREAMING_SNAKE_CASE :   Dict					  =							hf_github_url(self.dataset_name   ,   self.dummy_zip_file.replace(os.sep   ,   "/"						)						)
				return self._bucket_url
			@property
			def 				__UpperCamelCase			(      self				:			Tuple						)				->							Tuple:

				"""simple docstring"""

				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 				__UpperCamelCase			(      self				:			Any   ,   a				:			Union[str, Any]   ,   *a				:			str						)				->							Dict:

				"""simple docstring"""

				if self.load_existing_dummy_data:
					# dummy data is downloaded and tested
					SCREAMING_SNAKE_CASE :   Tuple					  =							self.dummy_file
				else:
					# dummy data cannot be downloaded and only the path to dummy file is returned
					SCREAMING_SNAKE_CASE :   Dict					  =							self.dummy_file_name

				# special case when data_url is a dict
				if isinstance(a   ,   a						):
					return self.create_dummy_data_dict(a   ,   a						)
				elif isinstance(a   ,   (list, tuple)						):
					return self.create_dummy_data_list(a   ,   a						)
				else:
					return self.create_dummy_data_single(a   ,   a						)
			def 				__UpperCamelCase			(      self				:			Tuple   ,   a				:			List[str]   ,   *a				:			List[str]						)				->							Optional[Any]:

				"""simple docstring"""

				return self.download_and_extract(a						)
			def 				__UpperCamelCase			(      self				:			str   ,   a				:			str   ,   a				:			List[Any]						)				->							List[Any]:

				"""simple docstring"""

				return self.download_and_extract(a						)
			def 				__UpperCamelCase			(      self				:			str   ,   a				:			Any   ,   *a				:			str   ,   **a				:			int						)				->							Optional[int]:

				"""simple docstring"""

				return path
			def 				__UpperCamelCase			(      self				:			Tuple						)				->							Optional[int]:

				"""simple docstring"""

				return {}
			def 				__UpperCamelCase			(      self				:			int   ,   a				:			str   ,   a				:			List[Any]						)				->							Dict:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Optional[int]					  =							{}
				for key, single_urls in data_url.items():
					for download_callback in self.download_callbacks:
						if isinstance(a   ,   a						):
							for single_url in single_urls:
								download_callback(a						)
						else:
							SCREAMING_SNAKE_CASE :   str					  =							single_urls
							download_callback(a						)
            # 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(a   ,   a						):
						SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							[os.path.join(a   ,   urllib.parse.quote_plus(Path(a						).name						)						) for x in single_urls]
					else:
						SCREAMING_SNAKE_CASE :   Optional[int]					  =							single_urls
						SCREAMING_SNAKE_CASE :   List[str]					  =							os.path.join(a   ,   urllib.parse.quote_plus(Path(a						).name						)						)
					SCREAMING_SNAKE_CASE :   Optional[int]					  =							value

				# make sure that values are unique
				if all(isinstance(a   ,   a						) 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
					SCREAMING_SNAKE_CASE :   List[str]					  =							{key: value + key for key, value in dummy_data_dict.items()}

				return dummy_data_dict
			def 				__UpperCamelCase			(      self				:			Dict   ,   a				:			Tuple   ,   a				:			int						)				->							Tuple:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   str					  =							[]
				# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"   ,   a						)						) for url in data_url						)
				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							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):
					SCREAMING_SNAKE_CASE :   List[str]					  =							[data_url[0]] * len(a						)
				for single_url in data_url:
					for download_callback in self.download_callbacks:
						download_callback(a						)
					# 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
					SCREAMING_SNAKE_CASE :   Dict					  =							os.path.join(a   ,   urllib.parse.quote_plus(single_url.split("/"						)[-1]						)						)
					dummy_data_list.append(a						)
				return dummy_data_list
			def 				__UpperCamelCase			(      self				:			Dict   ,   a				:			Optional[Any]   ,   a				:			Optional[int]						)				->							int:

				"""simple docstring"""

				for download_callback in self.download_callbacks:
					download_callback(a						)
				# 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
				SCREAMING_SNAKE_CASE :   int					  =							os.path.join(a   ,   urllib.parse.quote_plus(data_url.split("/"						)[-1]						)						)
				if os.path.exists(a						) 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 				__UpperCamelCase			(      self				:			Union[str, Any]						)				->							Union[str, Any]:

				"""simple docstring"""

				pass
			def 				__UpperCamelCase			(      self				:			List[str]						)				->							Optional[Any]:

				"""simple docstring"""

				pass
			def 				__UpperCamelCase			(      self				:			List[str]   ,   a				:			str						)				->							List[Any]:

				"""simple docstring"""

				def _iter_archive_members(a				:			Union[str, Any]						):
					# this preserves the order of the members inside the ZIP archive
					SCREAMING_SNAKE_CASE :   Optional[int]					  =							Path(self.dummy_file						).parent
					SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							path.relative_to(a						)
					with ZipFile(self.local_path_to_dummy_data						) as zip_file:
						SCREAMING_SNAKE_CASE :   Optional[Any]					  =							zip_file.namelist()
					for member in members:
						if member.startswith(relative_path.as_posix()						):
							yield dummy_parent_path.joinpath(a						)

				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							Path(a						)
				SCREAMING_SNAKE_CASE :   Dict					  =							_iter_archive_members(a						) 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(a						).as_posix(), file_path.open("rb"						)






			def 				__UpperCamelCase			(      self				:			Dict   ,   a				:			Optional[Any]						)				->							List[str]:

				"""simple docstring"""

				if not isinstance(a   ,   a						):
					SCREAMING_SNAKE_CASE :   List[str]					  =							[paths]
				for path in paths:
					if os.path.isfile(a						):
						if os.path.basename(a						).startswith((".", "__")						):
							return
						yield path
					else:
						for dirpath, dirnames, filenames in os.walk(a						):
							if os.path.basename(a						).startswith((".", "__")						):
								continue
							dirnames.sort()
							for filename in sorted(a						):
								if filename.startswith((".", "__")						):
									continue
								yield os.path.join(a   ,   a						)


a_      =     frozenset(
    [
        'prompt',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
        'cross_attention_kwargs',
    ]
)

a_      =     frozenset(['prompt', 'negative_prompt'])

a_      =     frozenset([])

a_      =     frozenset(['image'])

a_      =     frozenset(
    [
        'image',
        'height',
        'width',
        'guidance_scale',
    ]
)

a_      =     frozenset(['image'])

a_      =     frozenset(
    [
        'prompt',
        'image',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
    ]
)

a_      =     frozenset(['prompt', 'image', 'negative_prompt'])

a_      =     frozenset(
    [
        # Text guided image variation with an image mask
        'prompt',
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
    ]
)

a_      =     frozenset(['prompt', 'image', 'mask_image', 'negative_prompt'])

a_      =     frozenset(
    [
        # image variation with an image mask
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
    ]
)

a_      =     frozenset(['image', 'mask_image'])

a_      =     frozenset(
    [
        'example_image',
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
    ]
)

a_      =     frozenset(['example_image', 'image', 'mask_image'])

a_      =     frozenset(['class_labels'])

a_      =     frozenset(['class_labels'])

a_      =     frozenset(['batch_size'])

a_      =     frozenset([])

a_      =     frozenset(['batch_size'])

a_      =     frozenset([])

a_      =     frozenset(
    [
        'prompt',
        'audio_length_in_s',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
        'cross_attention_kwargs',
    ]
)

a_      =     frozenset(['prompt', 'negative_prompt'])
a_      =     frozenset(['input_tokens'])

a_      =     frozenset(['input_tokens'])