


"""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__  							=None
UpperCAmelCase__  							="<" 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__  							=[
    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__						:
      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	:	Union[str, Any]							):






       '''simple docstring'''


       return self.pa_type
      def SCREAMING_SNAKE_CASE_	(		self	:	List[Any]      ,       A_	:	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(A_      ,       A_							):
        __lowercase									=	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	:	Any      ,       A_	:	dict      ,       A_	:	List[Any]=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:
        __lowercase									=	{}

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






       '''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]      ,       A_	:	Union[pa.StringArray, pa.StructArray, pa.ListArray]							):






       '''simple docstring'''


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






       '''simple docstring'''


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

       __lowercase									=	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									=	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									=	pa.StructArray.from_arrays([bytes_array, path_array]      ,       ["""bytes""", """path"""]      ,       mask=bytes_array.is_null()							)
       return array_cast(A_      ,       self.pa_type							)






def lowerCAmelCase_      (				):






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


def lowerCAmelCase_      (				UpperCamelCase__	: "PIL.Image.Image" ):






 """simple docstring"""







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


def lowerCAmelCase_      (				UpperCamelCase__	: "PIL.Image.Image" ):






 """simple docstring"""







 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__	: np.ndarray ):






 """simple docstring"""







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

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

 __lowercase									=	None

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


def lowerCAmelCase_      (				UpperCamelCase__	: Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]] ):






 """simple docstring"""







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

 if objs:
  __lowercase							,		__lowercase									=	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 ):
   __lowercase									=	no_op_if_value_is_null(UpperCamelCase__ )
   return [obj_to_image_dict_func(UpperCamelCase__ ) for obj in objs]
  elif isinstance(UpperCamelCase__				,   PIL.Image.Image ):
   __lowercase									=	no_op_if_value_is_null(UpperCamelCase__ )
   return [obj_to_image_dict_func(UpperCamelCase__ ) for obj in objs]
  else:
   return objs
 else:
  return objs




"""simple docstring"""

import inspect
import unittest





class    lowerCamelCase__						(		unittest.TestCase    ):
      def SCREAMING_SNAKE_CASE_	(		self	:	int							):






       '''simple docstring'''


       try:
        import diffusers  # noqa: F401
       except ImportError:
        assert False






      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]							):






       '''simple docstring'''


       import diffusers
       from diffusers.dependency_versions_table import deps

       __lowercase									=	inspect.getmembers(A_      ,       inspect.isclass							)

       for cls_name, cls_module in all_classes:
        if "dummy_" in cls_module.__module__:
         for backend in cls_module._backends:
          if backend == "k_diffusion":
           __lowercase									=	"""k-diffusion"""
          elif backend == "invisible_watermark":
           __lowercase									=	"""invisible-watermark"""
          assert backend in deps, F'''{backend} is not in the deps table!'''
