






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 : Optional[List[str]]						   =       None
lowerCamelCase : List[str]						   =       '''<''' 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 : List[str]						   =       [
    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     :

					'''simple docstring'''

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



					def __call__(  self				:	Tuple							)			->  Tuple:


												"""simple docstring"""

												return self.pa_type



					def       lowerCAmelCase				(  self				:	Optional[Any]		,     __a				:	Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]							)			->  dict:


												"""simple docstring"""

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

												if isinstance(__a		,     __a							):
																			__lowercase      :							str				=     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       lowerCAmelCase				(  self				:	List[str]		,     __a				:	dict		,     __a				:	Union[str, Any]=None							)			->  "PIL.Image.Image":


												"""simple docstring"""

												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:
																			__lowercase      :							Union[str, Any]				=     {}

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



					def       lowerCAmelCase				(  self				:	Union[str, Any]							)			->  Union["FeatureType", Dict[str, "FeatureType"]]:


												"""simple docstring"""

												from .features import Value

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



					def       lowerCAmelCase				(  self				:	List[str]		,     __a				:	Union[pa.StringArray, pa.StructArray, pa.ListArray]							)			->  pa.StructArray:


												"""simple docstring"""

												if pa.types.is_string(storage.type							):
																			__lowercase      :							Optional[int]				=     pa.array([None] * len(__a							)		,     type=pa.binary()							)
																			__lowercase      :							Optional[Any]				=     pa.StructArray.from_arrays([bytes_array, storage]		,     ["""bytes""", """path"""]		,     mask=storage.is_null()							)
												elif pa.types.is_binary(storage.type							):
																			__lowercase      :							Dict				=     pa.array([None] * len(__a							)		,     type=pa.string()							)
																			__lowercase      :							Optional[int]				=     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:
																										__lowercase      :							List[Any]				=     storage.field("""bytes"""							)
																			else:
																										__lowercase      :							Optional[int]				=     pa.array([None] * len(__a							)		,     type=pa.binary()							)
																			if storage.type.get_field_index("""path"""							) >= 0:
																										__lowercase      :							Any				=     storage.field("""path"""							)
																			else:
																										__lowercase      :							Optional[Any]				=     pa.array([None] * len(__a							)		,     type=pa.string()							)
																			__lowercase      :							Optional[int]				=     pa.StructArray.from_arrays([bytes_array, path_array]		,     ["""bytes""", """path"""]		,     mask=storage.is_null()							)
												elif pa.types.is_list(storage.type							):
																			__lowercase      :							Dict				=     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()		,     )
																			__lowercase      :							Dict				=     pa.array([None] * len(__a							)		,     type=pa.string()							)
																			__lowercase      :							Optional[Any]				=     pa.StructArray.from_arrays(
																			    [bytes_array, path_array]		,     ["""bytes""", """path"""]		,     mask=bytes_array.is_null()							)
												return array_cast(__a		,     self.pa_type							)



					def       lowerCAmelCase				(  self				:	Union[str, Any]		,     __a				:	pa.StructArray							)			->  pa.StructArray:


												"""simple docstring"""

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

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







def       snake_case_		(     ):
							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()
														__lowercase      :							List[str]				=     list(set(PIL.Image.OPEN.keys()      ) & set(PIL.Image.SAVE.keys()      )      )
							return _IMAGE_COMPRESSION_FORMATS
def       snake_case_		(     lowerCAmelCase_       :						"PIL.Image.Image"      ):
							__lowercase      :							List[Any]				=     BytesIO()
							if image.format in list_image_compression_formats():
														__lowercase      :							Any				=     image.format
							else:
														__lowercase      :							Any				=     """PNG""" if image.mode in ["""1""", """L""", """LA""", """RGB""", """RGBA"""] else """TIFF"""
							image.save(lowerCAmelCase_       ,       format=lowerCAmelCase_      )
							return buffer.getvalue()
def       snake_case_		(     lowerCAmelCase_       :						"PIL.Image.Image"      ):
							if hasattr(lowerCAmelCase_       ,       """filename"""      ) and image.filename != "":
														return {"path": image.filename, "bytes": None}
							else:
														return {"path": None, "bytes": image_to_bytes(lowerCAmelCase_      )}
def       snake_case_		(     lowerCAmelCase_       :						np.ndarray      ):
							if config.PIL_AVAILABLE:
														import PIL.Image
							else:
														raise ImportError("""To support encoding images, please install 'Pillow'."""      )

							__lowercase      :							List[str]				=     array.dtype
							__lowercase      :							Optional[Any]				=     dtype.byteorder if dtype.byteorder != """=""" else _NATIVE_BYTEORDER
							__lowercase      :							int				=     dtype.kind
							__lowercase      :							str				=     dtype.itemsize

							__lowercase      :							List[Any]				=     None

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



def       snake_case_		(     lowerCAmelCase_       :						Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]]      ):
							if config.PIL_AVAILABLE:
														import PIL.Image
							else:
														raise ImportError("""To support encoding images, please install 'Pillow'."""      )

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







import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCamelCase : Union[str, Any]						   =       logging.get_logger(__name__)

class 		lowerCAmelCase     ( __a			):

					'''simple docstring'''

					def __init__(  self				:	int		,     *__a				:	Dict		,     **__a				:	Optional[Any]							)			->  None:


												"""simple docstring"""

												warnings.warn(
												    """The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
												    """ use BeitImageProcessor instead."""		,     __a		,     )
												super().__init__(*__a		,     **__a							)