





"""simple docstring"""





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


lowerCAmelCase__     			=			None
lowerCAmelCase__     			=			'''<''' 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
lowerCAmelCase__     			=			[
    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        _lowerCamelCase      :
						UpperCAmelCase_ =			True
						UpperCAmelCase_ =			None
						# Automatically constructed
						UpperCAmelCase_ =			"PIL.Image.Image"
						UpperCAmelCase_ =			pa.struct({"bytes": pa.binary(), "path": pa.string()} )
						UpperCAmelCase_ =			field(default="Image"  ,			init=lowercase__  ,			repr=lowercase__ )


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


						def     snake_case_   (self   ,							__a		) ->   Dict:
								if config.PIL_AVAILABLE:
										import PIL.Image
								else:
										raise ImportError("To support encoding images, please install 'Pillow'."		)

								if isinstance(__lowercase   ,							__lowercase		):
										UpperCamelCase   =	np.array(__lowercase		)

								if isinstance(__lowercase   ,							__lowercase		):
										return {"path": value, "bytes": None}
								elif isinstance(__lowercase   ,							__lowercase		):
										return {"path": None, "bytes": value}
								elif isinstance(__lowercase   ,							np.ndarray		):
										# convert the image array to PNG/TIFF bytes
										return encode_np_array(__lowercase		)
								elif isinstance(__lowercase   ,							PIL.Image.Image		):
										# convert the PIL image to bytes (default format is PNG/TIFF)
										return encode_pil_image(__lowercase		)
								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     snake_case_   (self   ,							__a   ,							__a=None		) ->   str:
								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:
										UpperCamelCase   =	{}

								UpperCamelCase   ,				UpperCamelCase   =	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(__lowercase		):
														UpperCamelCase   =	PIL.Image.open(__lowercase		)
												else:
														UpperCamelCase   =	path.split("::"		)[-1]
														try:
																UpperCamelCase   =	string_to_dict(__lowercase   ,							config.HUB_DATASETS_URL		)["repo_id"]
																UpperCamelCase   =	token_per_repo_id.get(__lowercase		)
														except ValueError:
																UpperCamelCase   =	None
														with xopen(__lowercase   ,							"rb"   ,							use_auth_token=__lowercase		) as f:
																UpperCamelCase   =	BytesIO(f.read()		)
														UpperCamelCase   =	PIL.Image.open(bytes_		)
								else:
										UpperCamelCase   =	PIL.Image.open(BytesIO(bytes_		)		)
								image.load()  # to avoid "Too many open files" errors
								return image


						def     snake_case_   (self		) ->   Union[str, Any]:
								from .features import Value

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


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




						def     snake_case_   (self   ,							__a		) ->   List[Any]:

								@no_op_if_value_is_null
								def path_to_bytes(__a		):
										with xopen(__lowercase   ,							"rb"		) as f:
												UpperCamelCase   =	f.read()
										return bytes_

								UpperCamelCase   =	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()   ,							)
								UpperCamelCase   =	pa.array(
								    [os.path.basename(__lowercase		) if path is not None else None for path in storage.field("path"		).to_pylist()]   ,							type=pa.string()   ,							)
								UpperCamelCase   =	pa.StructArray.from_arrays([bytes_array, path_array]   ,							["bytes", "path"]   ,							mask=bytes_array.is_null()		)
								return array_cast(__lowercase   ,							self.pa_type		)



def       a__					(					):




		"""simple docstring"""


		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()
				UpperCamelCase   =	list(set(PIL.Image.OPEN.keys()    ) & set(PIL.Image.SAVE.keys()    )    )
		return _IMAGE_COMPRESSION_FORMATS


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	BytesIO()
		if image.format in list_image_compression_formats():
				UpperCamelCase   =	image.format
		else:
				UpperCamelCase   =	"PNG" if image.mode in ["1", "L", "LA", "RGB", "RGBA"] else "TIFF"
		image.save(SCREAMING_SNAKE_CASE_  ,	format=SCREAMING_SNAKE_CASE_    )
		return buffer.getvalue()


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


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


def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


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

		UpperCamelCase   =	array.dtype
		UpperCamelCase   =	dtype.byteorder if dtype.byteorder != "=" else _NATIVE_BYTEORDER
		UpperCamelCase   =	dtype.kind
		UpperCamelCase   =	dtype.itemsize

		UpperCamelCase   =	None

		# Multi-channel array case (only np.dtype("|u1") is allowed)
		if array.shape[2:]:
				UpperCamelCase   =	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:
				UpperCamelCase   =	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:
						UpperCamelCase   =	dtype_byteorder + dtype_kind + str(SCREAMING_SNAKE_CASE_    )
						UpperCamelCase   =	np.dtype(SCREAMING_SNAKE_CASE_    )
						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}"    )
		UpperCamelCase   =	PIL.Image.fromarray(array.astype(SCREAMING_SNAKE_CASE_    )    )
		return {"path": None, "bytes": image_to_bytes(SCREAMING_SNAKE_CASE_    )}






def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


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

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













"""simple docstring"""





lowerCAmelCase__     			=			'''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowerCAmelCase__     			=			[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowerCAmelCase__     			=			{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}






