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


__snake_case							=      None
__snake_case							=      """<""" 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
__snake_case							=      [
    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 			UpperCAmelCase__    :



  """simple docstring"""






  lowerCAmelCase__		:	Optional[Any]    		= True
  lowerCAmelCase__		:	str    		= None
  # Automatically constructed
  lowerCAmelCase__		:	Union[str, Any]    		= 'PIL.Image.Image'
  lowerCAmelCase__		:	str    		= pa.struct({'bytes': pa.binary(), 'path': pa.string()}					)
  lowerCAmelCase__		:	List[str]    		= field(default='Image'		,	init=_UpperCAmelCase		,	repr=_UpperCAmelCase					)






  def __call__(				self:			List[Any]   ) -> List[Any]:




    '''simple docstring'''




    return self.pa_type






  def 	_UpperCAmelCase				(				self:			str				,				__lowerCAmelCase:			Optional[int]   ) -> int:




    '''simple docstring'''




    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 	_UpperCAmelCase				(				self:			int				,				__lowerCAmelCase:			Union[str, Any]				,				__lowerCAmelCase:			Any=None   ) -> Dict:




    '''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:
      __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 	_UpperCAmelCase				(				self:			str   ) -> Tuple:




    '''simple docstring'''




    from .features import Value

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






  def 	_UpperCAmelCase				(				self:			Union[str, Any]				,				__lowerCAmelCase:			List[Any]   ) -> List[str]:




    '''simple docstring'''




    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 	_UpperCAmelCase				(				self:			Optional[int]				,				__lowerCAmelCase:			Any   ) -> Union[str, Any]:




    '''simple docstring'''




    @no_op_if_value_is_null
    def path_to_bytes(__lowerCAmelCase:			str   ):
      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       __lowerCAmelCase      (						)    ->  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()
    __UpperCAmelCase						    =       list(set(PIL.Image.OPEN.keys()					) & set(PIL.Image.SAVE.keys()					)					)
  return _IMAGE_COMPRESSION_FORMATS




def       __lowerCAmelCase      (						A_   : "PIL.Image.Image"					)    ->  bytes:
  __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       __lowerCAmelCase      (						A_   : "PIL.Image.Image"					)    ->  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       __lowerCAmelCase      (						A_   : np.ndarray					)    ->  dict:

  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       __lowerCAmelCase      (						A_   : Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]]					)    ->  List[dict]:

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

  if objs:
    __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




def       __lowerCAmelCase      (						A_   : str					)    ->  bool:
  if not all(x.isalpha() for x in string					):
    raise ValueError("String must only contain alphabetic characters."					)

  __UpperCAmelCase						    =       sorted(string.lower()					)
  return len(A_					) == len(set(A_					)					)


if __name__ == "__main__":
       a_							=      input("""Enter a string """).strip()

       a_							=      is_isogram(input_str)
       print(F"{input_str} is {'an' if isogram else 'not an'} isogram.")



