






import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import numpy as np
import pyarrow as pa

from .. import config
from ..download.streaming_download_manager import xopen
from ..table import array_cast
from ..utils.file_utils import is_local_path
from ..utils.py_utils import first_non_null_value, no_op_if_value_is_null, string_to_dict


if TYPE_CHECKING:
				import PIL.Image

				from .features import FeatureType


a_		:						Optional[List[str]]             =    None
a_		:						Optional[int]             =    '<' if sys.byteorder == 'little' else '>'
# Origin: https://github.com/python-pillow/Pillow/blob/698951e19e19972aeed56df686868f1329981c12/src/PIL/Image.py#L3126 minus "|i1" which values are not preserved correctly when saving and loading an image
a_		:						Dict             =    [
    np.dtype('|b1'),
    np.dtype('|u1'),
    np.dtype('<u2'),
    np.dtype('>u2'),
    np.dtype('<i2'),
    np.dtype('>i2'),
    np.dtype('<u4'),
    np.dtype('>u4'),
    np.dtype('<i4'),
    np.dtype('>i4'),
    np.dtype('<f4'),
    np.dtype('>f4'),
    np.dtype('<f8'),
    np.dtype('>f8'),
]






@dataclass
class 		_snake_case  :
			_lowercase		:    bool			     =							True
			_lowercase		:    Optional[str]			     =							None
			# Automatically constructed
			_lowercase		:    ClassVar[str]			     =							"PIL.Image.Image"
			_lowercase		:    ClassVar[Any]			     =							pa.struct({'''bytes''': pa.binary(), '''path''': pa.string()}					)
			_lowercase		:    str			     =							field(default='''Image'''   ,    init=A__   ,    repr=A__					)






			def __call__(       self)      ->       List[Any]:
						return self.pa_type






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       dict:
						if config.PIL_AVAILABLE:
									import PIL.Image
						else:
									raise ImportError('To support encoding images, please install \'Pillow\'.')

						if isinstance(a		,					a):
									SCREAMING_SNAKE_CASE						= np.array(a)

						if isinstance(a		,					a):
									return {"path": value, "bytes": None}
						elif isinstance(a		,					a):
									return {"path": None, "bytes": value}
						elif isinstance(a		,					np.ndarray):
									# convert the image array to PNG/TIFF bytes
									return encode_np_array(a)
						elif isinstance(a		,					PIL.Image.Image):
									# convert the PIL image to bytes (default format is PNG/TIFF)
									return encode_pil_image(a)
						elif value.get('path') is not None and os.path.isfile(value['path']):
									# we set "bytes": None to not duplicate the data if they're already available locally
									return {"bytes": None, "path": value.get('path')}
						elif value.get('bytes') is not None or value.get('path') is not None:
									# store the image bytes, and path is used to infer the image format using the file extension
									return {"bytes": value.get('bytes'), "path": value.get('path')}
						else:
									raise ValueError(
									    f'''An image sample should have one of \'path\' or \'bytes\' but they are missing or None in {value}.''')






			def    SCREAMING_SNAKE_CASE__    (       self		,					a		,					a=None)      ->       "PIL.Image.Image":
						if not self.decode:
									raise RuntimeError('Decoding is disabled for this feature. Please use Image(decode=True) instead.')

						if config.PIL_AVAILABLE:
									import PIL.Image
						else:
									raise ImportError('To support decoding images, please install \'Pillow\'.')

						if token_per_repo_id is None:
									SCREAMING_SNAKE_CASE						= {}

						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= value['path'], value['bytes']
						if bytes_ is None:
									if path is None:
												raise ValueError(f'''An image should have one of \'path\' or \'bytes\' but both are None in {value}.''')
									else:
												if is_local_path(a):
															SCREAMING_SNAKE_CASE						= PIL.Image.open(a)
												else:
															SCREAMING_SNAKE_CASE						= path.split('::')[-1]
															try:
																		SCREAMING_SNAKE_CASE						= string_to_dict(a		,					config.HUB_DATASETS_URL)['repo_id']
																		SCREAMING_SNAKE_CASE						= token_per_repo_id.get(a)
															except ValueError:
																		SCREAMING_SNAKE_CASE						= None
															with xopen(a		,					'rb'		,					use_auth_token=a) as f:
																		SCREAMING_SNAKE_CASE						= BytesIO(f.read())
															SCREAMING_SNAKE_CASE						= PIL.Image.open(bytes_)
						else:
									SCREAMING_SNAKE_CASE						= PIL.Image.open(BytesIO(bytes_))
						image.load()  # to avoid "Too many open files" errors
						return image






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Union["FeatureType", Dict[str, "FeatureType"]]:
						from .features import Value

						return (
						    self
						    if self.decode
						    else {
						        "bytes": Value('binary'),
						        "path": Value('string'),
						    }
						)






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       pa.StructArray:
						if pa.types.is_string(storage.type):
									SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.binary())
									SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays([bytes_array, storage]		,					['bytes', 'path']		,					mask=storage.is_null())
						elif pa.types.is_binary(storage.type):
									SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.string())
									SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays([storage, path_array]		,					['bytes', 'path']		,					mask=storage.is_null())
						elif pa.types.is_struct(storage.type):
									if storage.type.get_field_index('bytes') >= 0:
												SCREAMING_SNAKE_CASE						= storage.field('bytes')
									else:
												SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.binary())
									if storage.type.get_field_index('path') >= 0:
												SCREAMING_SNAKE_CASE						= storage.field('path')
									else:
												SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.string())
									SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays([bytes_array, path_array]		,					['bytes', 'path']		,					mask=storage.is_null())
						elif pa.types.is_list(storage.type):
									SCREAMING_SNAKE_CASE						= pa.array(
									    [encode_np_array(np.array(a))['bytes'] if arr is not None else None for arr in storage.to_pylist()]		,					type=pa.binary()		,					)
									SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.string())
									SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays(
									    [bytes_array, path_array]		,					['bytes', 'path']		,					mask=bytes_array.is_null())
						return array_cast(a		,					self.pa_type)







			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       pa.StructArray:

						@no_op_if_value_is_null
						def path_to_bytes(a):
									with xopen(a		,					'rb') as f:
												SCREAMING_SNAKE_CASE						= f.read()
									return bytes_

						SCREAMING_SNAKE_CASE						= pa.array(
						    [
						        (path_to_bytes(x['path']) if x['bytes'] is None else x['bytes']) if x is not None else None
						        for x in storage.to_pylist()
						    ]		,					type=pa.binary()		,					)
						SCREAMING_SNAKE_CASE						= pa.array(
						    [os.path.basename(a) if path is not None else None for path in storage.field('path').to_pylist()]		,					type=pa.string()		,					)
						SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays([bytes_array, path_array]		,					['bytes', 'path']		,					mask=bytes_array.is_null())
						return array_cast(a		,					self.pa_type)






def 				lowerCamelCase__				():
			if config.PIL_AVAILABLE:
						import PIL.Image
			else:
						raise ImportError('To support encoding images, please install \'Pillow\'.')

			global _IMAGE_COMPRESSION_FORMATS
			if _IMAGE_COMPRESSION_FORMATS is None:
						PIL.Image.init()
						SCREAMING_SNAKE_CASE						= list(set(PIL.Image.OPEN.keys()) & set(PIL.Image.SAVE.keys()))
			return _IMAGE_COMPRESSION_FORMATS






def 				lowerCamelCase__				(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= BytesIO()
			if image.format in list_image_compression_formats():
						SCREAMING_SNAKE_CASE						= image.format
			else:
						SCREAMING_SNAKE_CASE						= 'PNG' if image.mode in ['1', 'L', 'LA', 'RGB', 'RGBA'] else 'TIFF'
			image.save(_UpperCAmelCase							,       format=_UpperCAmelCase)
			return buffer.getvalue()






def 				lowerCamelCase__				(_UpperCAmelCase):
			if hasattr(_UpperCAmelCase							,       'filename') and image.filename != "":
						return {"path": image.filename, "bytes": None}
			else:
						return {"path": None, "bytes": image_to_bytes(_UpperCAmelCase)}






def 				lowerCamelCase__				(_UpperCAmelCase):
			if config.PIL_AVAILABLE:
						import PIL.Image
			else:
						raise ImportError('To support encoding images, please install \'Pillow\'.')

			SCREAMING_SNAKE_CASE						= array.dtype
			SCREAMING_SNAKE_CASE						= dtype.byteorder if dtype.byteorder != '=' else _NATIVE_BYTEORDER
			SCREAMING_SNAKE_CASE						= dtype.kind
			SCREAMING_SNAKE_CASE						= dtype.itemsize

			SCREAMING_SNAKE_CASE						= None

			# Multi-channel array case (only np.dtype("|u1") is allowed)
			if array.shape[2:]:
						SCREAMING_SNAKE_CASE						= np.dtype('|u1')
						if dtype_kind not in ["u", "i"]:
									raise TypeError(
									    F'''Unsupported array dtype {dtype} for image encoding. Only {dest_dtype} is supported for multi-channel arrays.''')
						if dtype is not dest_dtype:
									warnings.warn(F'''Downcasting array dtype {dtype} to {dest_dtype} to be compatible with \'Pillow\'''')
    # Exact match
			elif dtype in _VALID_IMAGE_ARRAY_DTPYES:
						SCREAMING_SNAKE_CASE						= dtype
			else:  # Downcast the type within the kind (np.can_cast(from_type, to_type, casting="same_kind") doesn't behave as expected, so do it manually)
						while dtype_itemsize >= 1:
									SCREAMING_SNAKE_CASE						= dtype_byteorder + dtype_kind + str(_UpperCAmelCase)
									SCREAMING_SNAKE_CASE						= np.dtype(_UpperCAmelCase)
									if dest_dtype in _VALID_IMAGE_ARRAY_DTPYES:
												warnings.warn(F'''Downcasting array dtype {dtype} to {dest_dtype} to be compatible with \'Pillow\'''')
												break
									else:
												dtype_itemsize //= 2

			if dest_dtype is None:
						raise TypeError(
						    F'''Cannot convert dtype {dtype} to a valid image dtype. Valid image dtypes: {_VALID_IMAGE_ARRAY_DTPYES}''')
			SCREAMING_SNAKE_CASE						= PIL.Image.fromarray(array.astype(_UpperCAmelCase))
			return {"path": None, "bytes": image_to_bytes(_UpperCAmelCase)}







def 				lowerCamelCase__				(_UpperCAmelCase):
			if config.PIL_AVAILABLE:
						import PIL.Image
			else:
						raise ImportError('To support encoding images, please install \'Pillow\'.')

			if objs:
						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= first_non_null_value(_UpperCAmelCase)
						if isinstance(_UpperCAmelCase							,       _UpperCAmelCase):
									return [{"path": obj, "bytes": None} if obj is not None else None for obj in objs]
						if isinstance(_UpperCAmelCase							,       np.ndarray):
									SCREAMING_SNAKE_CASE						= no_op_if_value_is_null(_UpperCAmelCase)
									return [obj_to_image_dict_func(_UpperCAmelCase) for obj in objs]
						elif isinstance(_UpperCAmelCase							,       PIL.Image.Image):
									SCREAMING_SNAKE_CASE						= no_op_if_value_is_null(_UpperCAmelCase)
									return [obj_to_image_dict_func(_UpperCAmelCase) for obj in objs]
						else:
									return objs
			else:
						return objs












import os
from collections.abc import Iterator






def 				lowerCamelCase__				(_UpperCAmelCase = "."):
			for dir_path, dir_names, filenames in os.walk(_UpperCAmelCase):
						SCREAMING_SNAKE_CASE						= [d for d in dir_names if d != 'scripts' and d[0] not in '._']
						for filename in filenames:
									if filename == "__init__.py":
												continue
									if os.path.splitext(_UpperCAmelCase)[1] in (".py", ".ipynb"):
												yield os.path.join(_UpperCAmelCase							,       _UpperCAmelCase).lstrip('./')






def 				lowerCamelCase__				(_UpperCAmelCase):
			return F'''{i * '  '}*''' if i else "\n##"






def 				lowerCamelCase__				(_UpperCAmelCase							,       _UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= old_path.split(os.sep)
			for i, new_part in enumerate(new_path.split(os.sep)):
						if (i + 1 > len(_UpperCAmelCase) or old_parts[i] != new_part) and new_part:
									print(F'''{md_prefix(_UpperCAmelCase)} {new_part.replace('_'							,       ' ').title()}''')
			return new_path






def 				lowerCamelCase__				(_UpperCAmelCase = "."):
			SCREAMING_SNAKE_CASE						= ''
			for filepath in sorted(good_file_paths(_UpperCAmelCase)):
						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= os.path.split(_UpperCAmelCase)
						if filepath != old_path:
									SCREAMING_SNAKE_CASE						= print_path(_UpperCAmelCase							,       _UpperCAmelCase)
						SCREAMING_SNAKE_CASE						= (filepath.count(os.sep) + 1) if filepath else 0
						SCREAMING_SNAKE_CASE						= F'''{filepath}/{filename}'''.replace(' '							,       '%20')
						SCREAMING_SNAKE_CASE						= os.path.splitext(filename.replace('_'							,       ' ').title())[0]
						print(F'''{md_prefix(_UpperCAmelCase)} [{filename}]({url})''')


if __name__ == "__main__":
				print_directory_md('.')




