
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


lowercase  :					Optional[List[str]]						    =							None
lowercase  :					List[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
lowercase  :					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		:
    _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=lowerCAmelCase					,	repr=lowerCAmelCase     )
    def __call__(  self      ):



           '''simple docstring'''







           return self.pa_type
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







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

           if isinstance(snake_case		,snake_case      ):
                  lowercase							:     int       	=      np.array(snake_case      )

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

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



           '''simple docstring'''







           from .features import Value

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



           '''simple docstring'''







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



           '''simple docstring'''







           @no_op_if_value_is_null
           def path_to_bytes(snake_case      ):
                  with xopen(snake_case		,"""rb"""      ) as f:
                         lowercase							:     int       	=      f.read()
                  return bytes_

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







def 						_snake_case(  ) ->    List[str]:
       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							:     Optional[int]       	=      list(set(PIL.Image.OPEN.keys()				) & set(PIL.Image.SAVE.keys()				)				)
       return _IMAGE_COMPRESSION_FORMATS







def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    bytes:
       lowercase							:     Optional[Any]       	=      BytesIO()
       if image.format in list_image_compression_formats():
              lowercase							:     Union[str, Any]       	=      image.format
       else:
              lowercase							:     Dict       	=      """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 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    dict:
       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 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    dict:
       if config.PIL_AVAILABLE:
              import PIL.Image
       else:
              raise ImportError("""To support encoding images, please install 'Pillow'."""				)

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

       lowercase							:     Any       	=      None

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







def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    List[dict]:
       if config.PIL_AVAILABLE:
              import PIL.Image
       else:
              raise ImportError("""To support encoding images, please install 'Pillow'."""				)

       if objs:
              lowercase	,			lowercase							:     Optional[int]       	=      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				):
                     lowercase							:     str       	=      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				):
                     lowercase							:     List[str]       	=      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


import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version







def 						_snake_case(  *SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__ = None					,	SCREAMING_SNAKE_CASE__=True					,	SCREAMING_SNAKE_CASE__=2				) ->    Optional[Any]:
       from .. import __version__

       lowercase							:     int       	=      take_from
       lowercase							:     Tuple       	=      ()
       if not isinstance(args[0]					,	SCREAMING_SNAKE_CASE__				):
              lowercase							:     Dict       	=      (args,)

       for attribute, version_name, message in args:
              if version.parse(version.parse(SCREAMING_SNAKE_CASE__				).base_version				) >= version.parse(SCREAMING_SNAKE_CASE__				):
                     raise ValueError(
                         f"The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"
                         f" version {__version__} is >= {version_name}"				)

              lowercase							:     int       	=      None
              if isinstance(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) and attribute in deprecated_kwargs:
                     values += (deprecated_kwargs.pop(SCREAMING_SNAKE_CASE__				),)
                     lowercase							:     Union[str, Any]       	=      f"The `{attribute}` argument is deprecated and will be removed in version {version_name}."
              elif hasattr(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				):
                     values += (getattr(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				),)
                     lowercase							:     int       	=      f"The `{attribute}` attribute is deprecated and will be removed in version {version_name}."
              elif deprecated_kwargs is None:
                     lowercase							:     Dict       	=      f"`{attribute}` is deprecated and will be removed in version {version_name}."

              if warning is not None:
                     lowercase							:     Dict       	=      warning + """ """ if standard_warn else """"""
                     warnings.warn(warning + message					,	SCREAMING_SNAKE_CASE__					,	stacklevel=SCREAMING_SNAKE_CASE__				)

       if isinstance(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) and len(SCREAMING_SNAKE_CASE__				) > 0:
              lowercase							:     str       	=      inspect.getouterframes(inspect.currentframe()				)[1]
              lowercase							:     List[str]       	=      call_frame.filename
              lowercase							:     Tuple       	=      call_frame.lineno
              lowercase							:     List[str]       	=      call_frame.function
              lowercase	,			lowercase							:     Optional[Any]       	=      next(iter(deprecated_kwargs.items()				)				)
              raise TypeError(f"{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"				)

       if len(SCREAMING_SNAKE_CASE__				) == 0:
              return
       elif len(SCREAMING_SNAKE_CASE__				) == 1:
              return values[0]
       return values
