

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__       = None
lowerCAmelCase__       = "<" 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__       = [
    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 						__magic_name__    :
 UpperCAmelCase							    =						True
 UpperCAmelCase							    =						None
 # Automatically constructed
 UpperCAmelCase							    =						"""PIL.Image.Image"""
 UpperCAmelCase							    =						pa.struct({"""bytes""": pa.binary(), """path""": pa.string()}    )
 UpperCAmelCase							    =						field(default="""Image"""	,						init=_snake_case	,						repr=_snake_case    )


 def __call__(						self		: Tuple    )    ->      Dict:
   return self.pa_type


 def _UpperCamelCase	(						self		: List[Any]			,						lowerCAmelCase__		: Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]    )    ->      dict:
   if config.PIL_AVAILABLE:
     import PIL.Image
   else:
     raise ImportError("To support encoding images, please install 'Pillow'."    )

   if isinstance(lowerCAmelCase__			,						lowerCAmelCase__    ):
     UpperCAmelCase					      =  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 _UpperCamelCase	(						self		: List[str]			,						lowerCAmelCase__		: dict			,						lowerCAmelCase__		: List[Any]=None    )    ->      "PIL.Image.Image":
   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      ,	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(lowerCAmelCase__    ):
         UpperCAmelCase					      =  PIL.Image.open(lowerCAmelCase__    )
       else:
         UpperCAmelCase					      =  path.split("::"    )[-1]
         try:
           UpperCAmelCase					      =  string_to_dict(lowerCAmelCase__			,						config.HUB_DATASETS_URL    )["repo_id"]
           UpperCAmelCase					      =  token_per_repo_id.get(lowerCAmelCase__    )
         except ValueError:
           UpperCAmelCase					      =  None
         with xopen(lowerCAmelCase__			,						"rb"			,						use_auth_token=lowerCAmelCase__    ) 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		: Tuple    )    ->      Union["FeatureType", Dict[str, "FeatureType"]]:
   from .features import Value

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


 def _UpperCamelCase	(						self		: List[str]			,						lowerCAmelCase__		: Union[pa.StringArray, pa.StructArray, pa.ListArray]    )    ->      pa.StructArray:
   if pa.types.is_string(storage.type    ):
     UpperCAmelCase					      =  pa.array([None] * len(lowerCAmelCase__    )			,						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(lowerCAmelCase__    )			,						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(lowerCAmelCase__    )			,						type=pa.binary()    )
     if storage.type.get_field_index("path"    ) >= 0:
       UpperCAmelCase					      =  storage.field("path"    )
     else:
       UpperCAmelCase					      =  pa.array([None] * len(lowerCAmelCase__    )			,						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(lowerCAmelCase__    )    )["bytes"] if arr is not None else None for arr in storage.to_pylist()]			,						type=pa.binary()			,						)
     UpperCAmelCase					      =  pa.array([None] * len(lowerCAmelCase__    )			,						type=pa.string()    )
     UpperCAmelCase					      =  pa.StructArray.from_arrays(
         [bytes_array, path_array]			,						["bytes", "path"]			,						mask=bytes_array.is_null()    )
   return array_cast(lowerCAmelCase__			,						self.pa_type    )


 def _UpperCamelCase	(						self		: Dict			,						lowerCAmelCase__		: pa.StructArray    )    ->      pa.StructArray:

   @no_op_if_value_is_null
   def path_to_bytes(lowerCAmelCase__		: Union[str, Any]    ):
     with xopen(lowerCAmelCase__			,						"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(lowerCAmelCase__    ) 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(lowerCAmelCase__			,						self.pa_type    )

def      _lowerCAmelCase(	):
  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     :   Union[str, Any]			):
  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(__A   ,       format=__A			)
  return buffer.getvalue()
def      _lowerCAmelCase(	__A     :   int			):
  if hasattr(__A   ,       "filename"			) and image.filename != "":
    return {"path": image.filename, "bytes": None}
  else:
    return {"path": None, "bytes": image_to_bytes(__A			)}
def      _lowerCAmelCase(	__A     :   int			):
  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(__A			)
      UpperCAmelCase					      =  np.dtype(__A			)
      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(__A			)			)
  return {"path": None, "bytes": image_to_bytes(__A			)}





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

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






lowerCAmelCase__       = {
    "a": "AAAAA",
    "b": "AAAAB",
    "c": "AAABA",
    "d": "AAABB",
    "e": "AABAA",
    "f": "AABAB",
    "g": "AABBA",
    "h": "AABBB",
    "i": "ABAAA",
    "j": "BBBAA",
    "k": "ABAAB",
    "l": "ABABA",
    "m": "ABABB",
    "n": "ABBAA",
    "o": "ABBAB",
    "p": "ABBBA",
    "q": "ABBBB",
    "r": "BAAAA",
    "s": "BAAAB",
    "t": "BAABA",
    "u": "BAABB",
    "v": "BBBAB",
    "w": "BABAA",
    "x": "BABAB",
    "y": "BABBA",
    "z": "BABBB",
    " ": " ",
}


lowerCAmelCase__       = {value: key for key, value in encode_dict.items()}
def      _lowerCAmelCase(	__A			):
  UpperCAmelCase					      =  ""
  for letter in word.lower():
    if letter.isalpha() or letter == " ":
      encoded += encode_dict[letter]
    else:
      raise Exception("encode() accepts only letters of the alphabet and spaces"			)
  return encoded
def      _lowerCAmelCase(	__A			):
  if set(__A			) - {"A", "B", " "} != set():
    raise Exception("decode() accepts only 'A', 'B' and spaces"			)
  UpperCAmelCase					      =  ""
  for word in coded.split():
    while len(__A			) != 0:
      decoded += decode_dict[word[:5]]
      UpperCAmelCase					      =  word[5:]
    decoded += " "
  return decoded.strip()


if __name__ == "__main__":
      from doctest import testmod

      testmod()



