






"""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


UpperCAmelCase_     :				Optional[Any]        =				None
UpperCAmelCase_     :				Union[str, Any]        =				"""<""" 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
UpperCAmelCase_     :				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'''

      __UpperCamelCase							=						True
      __UpperCamelCase							=						None
      # Automatically constructed
      __UpperCamelCase							=						"PIL.Image.Image"
      __UpperCamelCase							=						pa.struct({"bytes": pa.binary(), "path": pa.string()}				)
      __UpperCamelCase							=						field(default="Image"       ,	init=_A       ,	repr=_A				)
      def __call__(		self  :						str):




          '''simple docstring'''


          return self.pa_type
      def _SCREAMING_SNAKE_CASE				(		self  :						Tuple		,			lowercase_  :						Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]):




          '''simple docstring'''


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

          if isinstance(__lowerCamelCase		,			__lowerCamelCase):
              SCREAMING_SNAKE_CASE_   :						Tuple							=	np.array(__lowerCamelCase)

          if isinstance(__lowerCamelCase		,			__lowerCamelCase):
              return {"path": value, "bytes": None}
          elif isinstance(__lowerCamelCase		,			__lowerCamelCase):
              return {"path": None, "bytes": value}
          elif isinstance(__lowerCamelCase		,			np.ndarray):
              # convert the image array to PNG/TIFF bytes
              return encode_np_array(__lowerCamelCase)
          elif isinstance(__lowerCamelCase		,			PIL.Image.Image):
              # convert the PIL image to bytes (default format is PNG/TIFF)
              return encode_pil_image(__lowerCamelCase)
          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  :						Any		,			lowercase_  :						dict		,			lowercase_  :						int=None):




          '''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:
              SCREAMING_SNAKE_CASE_   :						List[Any]							=	{}

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




          '''simple docstring'''


          from .features import Value

          return (
              self
              if self.decode
              else {
                  "bytes": Value('''binary'''),
                  "path": Value('''string'''),
              }
          )
      def _SCREAMING_SNAKE_CASE				(		self  :						List[Any]		,			lowercase_  :						Union[pa.StringArray, pa.StructArray, pa.ListArray]):




          '''simple docstring'''


          if pa.types.is_string(storage.type):
              SCREAMING_SNAKE_CASE_   :						Dict							=	pa.array([None] * len(__lowerCamelCase)		,			type=pa.binary())
              SCREAMING_SNAKE_CASE_   :						List[Any]							=	pa.StructArray.from_arrays([bytes_array, storage]		,			['''bytes''', '''path''']		,			mask=storage.is_null())
          elif pa.types.is_binary(storage.type):
              SCREAMING_SNAKE_CASE_   :						Optional[int]							=	pa.array([None] * len(__lowerCamelCase)		,			type=pa.string())
              SCREAMING_SNAKE_CASE_   :						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:
                  SCREAMING_SNAKE_CASE_   :						Optional[int]							=	storage.field('''bytes''')
              else:
                  SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	pa.array([None] * len(__lowerCamelCase)		,			type=pa.binary())
              if storage.type.get_field_index('''path''') >= 0:
                  SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	storage.field('''path''')
              else:
                  SCREAMING_SNAKE_CASE_   :						Dict							=	pa.array([None] * len(__lowerCamelCase)		,			type=pa.string())
              SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	pa.StructArray.from_arrays([bytes_array, path_array]		,			['''bytes''', '''path''']		,			mask=storage.is_null())
          elif pa.types.is_list(storage.type):
              SCREAMING_SNAKE_CASE_   :						int							=	pa.array(
                  [encode_np_array(np.array(__lowerCamelCase))['''bytes'''] if arr is not None else None for arr in storage.to_pylist()]		,			type=pa.binary()		,			)
              SCREAMING_SNAKE_CASE_   :						Dict							=	pa.array([None] * len(__lowerCamelCase)		,			type=pa.string())
              SCREAMING_SNAKE_CASE_   :						List[str]							=	pa.StructArray.from_arrays(
                  [bytes_array, path_array]		,			['''bytes''', '''path''']		,			mask=bytes_array.is_null())
          return array_cast(__lowerCamelCase		,			self.pa_type)



      def _SCREAMING_SNAKE_CASE				(		self  :						List[Any]		,			lowercase_  :						pa.StructArray):




          '''simple docstring'''


          @no_op_if_value_is_null
          def path_to_bytes(lowercase_  :						Optional[int]):
              with xopen(__lowerCamelCase		,			'''rb''') as f:
                  SCREAMING_SNAKE_CASE_   :						Union[str, Any]							=	f.read()
              return bytes_

          SCREAMING_SNAKE_CASE_   :						int							=	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_   :						List[str]							=	pa.array(
              [os.path.basename(__lowerCamelCase) if path is not None else None for path in storage.field('''path''').to_pylist()]		,			type=pa.string()		,			)
          SCREAMING_SNAKE_CASE_   :						Dict							=	pa.StructArray.from_arrays([bytes_array, path_array]		,			['''bytes''', '''path''']		,			mask=bytes_array.is_null())
          return array_cast(__lowerCamelCase		,			self.pa_type)



def       _A    ()				-> int:
    """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()
        SCREAMING_SNAKE_CASE_   :						Any							=	list(set(PIL.Image.OPEN.keys()							) & set(PIL.Image.SAVE.keys()							)							)
    return _IMAGE_COMPRESSION_FORMATS



def       _A    (__a							)				-> Optional[Any]:
    """simple docstring"""






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



def       _A    (__a							)				-> Any:
    """simple docstring"""






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



def       _A    (__a							)				-> int:
    """simple docstring"""






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

    SCREAMING_SNAKE_CASE_   :						Tuple							=	array.dtype
    SCREAMING_SNAKE_CASE_   :						Union[str, Any]							=	dtype.byteorder if dtype.byteorder != "=" else _NATIVE_BYTEORDER
    SCREAMING_SNAKE_CASE_   :						Union[str, Any]							=	dtype.kind
    SCREAMING_SNAKE_CASE_   :						List[Any]							=	dtype.itemsize

    SCREAMING_SNAKE_CASE_   :						int							=	None

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





def       _A    (__a							)				-> Any:
    """simple docstring"""






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

    if objs:
        SCREAMING_SNAKE_CASE_   :						Dict							=	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							):
            SCREAMING_SNAKE_CASE_   :						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							):
            SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	no_op_if_value_is_null(_lowerCamelCase							)
            return [obj_to_image_dict_func(_lowerCamelCase							) for obj in objs]
        else:
            return objs
    else:
        return objs










"""simple docstring"""






def       _A    (__a = 1_00							)				-> int:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_   :						int							=	(n * (n + 1) // 2) ** 2
    SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	n * (n + 1) * (2 * n + 1) // 6
    return sum_cubes - sum_squares


if __name__ == "__main__":
  print(f'''{solution() = }''')


