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


SCREAMING_SNAKE_CASE__		:					Optional[List[str]]						=					None
SCREAMING_SNAKE_CASE__		:					Dict						=					"<" 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
SCREAMING_SNAKE_CASE__		:					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					:
  lowercase_			=     True
  lowercase_			=     None
  # Automatically constructed
  lowercase_			=     "PIL.Image.Image"
  lowercase_			=     pa.struct({'bytes': pa.binary(), 'path': pa.string()}						)
  lowercase_			=     field(default='Image'   ,						init=UpperCamelCase_   ,						repr=UpperCamelCase_						)




  def __call__(      self     :	Optional[int]				)->       List[str]:




       """simple docstring"""
       return self.pa_type




  def 	__lowercase(      self     :	Tuple     , a_     :	Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]				)->       dict:




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

       if isinstance(a_     , a_				):
            SCREAMING_SNAKE_CASE__				:				Any			=		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 	__lowercase(      self     :	str     , a_     :	dict     , a_     :	Dict=None				)->       "PIL.Image.Image":




       """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__				:				Any			=		{}

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




  def 	__lowercase(      self     :	Tuple				)->       Union["FeatureType", Dict[str, "FeatureType"]]:




       """simple docstring"""
       from .features import Value

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




  def 	__lowercase(      self     :	Optional[int]     , a_     :	Union[pa.StringArray, pa.StructArray, pa.ListArray]				)->       pa.StructArray:




       """simple docstring"""
       if pa.types.is_string(storage.type				):
            SCREAMING_SNAKE_CASE__				:				Tuple			=		pa.array([None] * len(a_				)     , type=pa.binary()				)
            SCREAMING_SNAKE_CASE__				:				Any			=		pa.StructArray.from_arrays([bytes_array, storage]     , ['bytes', 'path']     , mask=storage.is_null()				)
       elif pa.types.is_binary(storage.type				):
            SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		pa.array([None] * len(a_				)     , type=pa.string()				)
            SCREAMING_SNAKE_CASE__				:				List[Any]			=		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__				:				List[Any]			=		storage.field('bytes'				)
            else:
                 SCREAMING_SNAKE_CASE__				:				Any			=		pa.array([None] * len(a_				)     , type=pa.binary()				)
            if storage.type.get_field_index('path'				) >= 0:
                 SCREAMING_SNAKE_CASE__				:				Optional[int]			=		storage.field('path'				)
            else:
                 SCREAMING_SNAKE_CASE__				:				int			=		pa.array([None] * len(a_				)     , type=pa.string()				)
            SCREAMING_SNAKE_CASE__				:				Optional[int]			=		pa.StructArray.from_arrays([bytes_array, path_array]     , ['bytes', 'path']     , mask=storage.is_null()				)
       elif pa.types.is_list(storage.type				):
            SCREAMING_SNAKE_CASE__				:				Optional[int]			=		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()     , )
            SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		pa.array([None] * len(a_				)     , type=pa.string()				)
            SCREAMING_SNAKE_CASE__				:				Any			=		pa.StructArray.from_arrays(
                [bytes_array, path_array]     , ['bytes', 'path']     , mask=bytes_array.is_null()				)
       return array_cast(a_     , self.pa_type				)




  def 	__lowercase(      self     :	Any     , a_     :	pa.StructArray				)->       pa.StructArray:




       """simple docstring"""

       @no_op_if_value_is_null
       def path_to_bytes(a_     :	Any				):
            with xopen(a_     , 'rb'				) as f:
                 SCREAMING_SNAKE_CASE__				:				Tuple			=		f.read()
            return bytes_

       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		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[Any]			=		pa.array(
           [os.path.basename(a_				) if path is not None else None for path in storage.field('path'				).to_pylist()]     , 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(a_     , self.pa_type				)







def     _a				(      ):







     '''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				(      lowercase__  :			"PIL.Image.Image" ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				int			=		BytesIO()
     if image.format in list_image_compression_formats():
          SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		image.format
     else:
          SCREAMING_SNAKE_CASE__				:				str			=		'PNG' if image.mode in ['1', 'L', 'LA', 'RGB', 'RGBA'] else 'TIFF'
     image.save(lowercase__     ,  format=lowercase__ )
     return buffer.getvalue()







def     _a				(      lowercase__  :			"PIL.Image.Image" ):







     '''simple docstring'''


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







def     _a				(      lowercase__  :			np.ndarray ):







     '''simple docstring'''


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

     SCREAMING_SNAKE_CASE__				:				str			=		array.dtype
     SCREAMING_SNAKE_CASE__				:				List[Any]			=		dtype.byteorder if dtype.byteorder != '=' else _NATIVE_BYTEORDER
     SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		dtype.kind
     SCREAMING_SNAKE_CASE__				:				List[str]			=		dtype.itemsize

     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		None

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







def     _a				(      lowercase__  :			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:
          SCREAMING_SNAKE_CASE__			,							SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		first_non_null_value(lowercase__ )
          if isinstance(lowercase__     ,  lowercase__ ):
               return [{"path": obj, "bytes": None} if obj is not None else None for obj in objs]
          if isinstance(lowercase__     ,  np.ndarray ):
               SCREAMING_SNAKE_CASE__				:				List[Any]			=		no_op_if_value_is_null(lowercase__ )
               return [obj_to_image_dict_func(lowercase__ ) for obj in objs]
          elif isinstance(lowercase__     ,  PIL.Image.Image ):
               SCREAMING_SNAKE_CASE__				:				List[Any]			=		no_op_if_value_is_null(lowercase__ )
               return [obj_to_image_dict_func(lowercase__ ) for obj in objs]
          else:
               return objs
     else:
          return objs




import math







def     _a				(      lowercase__  :			int ):







     '''simple docstring'''


     assert isinstance(lowercase__     ,  lowercase__ ) and (
         number >= 0
     ), "'number' must been an int and positive"

     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or not number % 2:
          # Negatives, 0, 1 and all even numbers are not primes
          return False

     SCREAMING_SNAKE_CASE__				:				Tuple			=		range(3     ,  int(math.sqrt(lowercase__ ) + 1 )     ,  2 )
     return not any(not number % i for i in odd_numbers )







def     _a				(      lowercase__  :			List[str]     ,  lowercase__  :			Any=1     ,  **lowercase__  :			Any ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				int			=		factor * value
     SCREAMING_SNAKE_CASE__				:				Dict			=		value

     while not is_prime(lowercase__ ):
          value += 1 if not ("desc" in kwargs and kwargs["desc"] is True) else -1

     if value == first_value_val:
          return next_prime(value + 1     ,  **lowercase__ )
     return value



