


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					:       Optional[List[str]]			    =     None
UpperCamelCase					:       Tuple			    =     """<""" 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					:       int			    =     [
    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 A__     :



  """simple docstring"""



  _lowercase									=		True
  _lowercase									=		None
  # Automatically constructed
  _lowercase									=		"PIL.Image.Image"
  _lowercase									=		pa.struct({'bytes': pa.binary(), 'path': pa.string()}  )
  _lowercase									=		field(default='Image'				,		init=A__				,		repr=A__  )

  def __call__( self			:  Optional[int]       ):
        return self.pa_type

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

        if isinstance(lowerCamelCase__				,				lowerCamelCase__       ):
              a__	:  Union[str, Any]     =   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			:  Any				,				lowerCamelCase__			:  dict				,				lowerCamelCase__			:  List[Any]=None       ):
        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:
              a__	:  List[Any]     =   {}

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

  def    _UpperCamelCase( self			:  Dict       ):
        from .features import Value

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

  def    _UpperCamelCase( self			:  Dict				,				lowerCamelCase__			:  Union[pa.StringArray, pa.StructArray, pa.ListArray]       ):
        if pa.types.is_string(storage.type       ):
              a__	:  Dict     =   pa.array([None] * len(lowerCamelCase__       )				,				type=pa.binary()       )
              a__	:  List[str]     =   pa.StructArray.from_arrays([bytes_array, storage]				,				["bytes", "path"]				,				mask=storage.is_null()       )
        elif pa.types.is_binary(storage.type       ):
              a__	:  str     =   pa.array([None] * len(lowerCamelCase__       )				,				type=pa.string()       )
              a__	:  Tuple     =   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:
                    a__	:  Any     =   storage.field("bytes"       )
              else:
                    a__	:  List[str]     =   pa.array([None] * len(lowerCamelCase__       )				,				type=pa.binary()       )
              if storage.type.get_field_index("path"       ) >= 0:
                    a__	:  Tuple     =   storage.field("path"       )
              else:
                    a__	:  List[Any]     =   pa.array([None] * len(lowerCamelCase__       )				,				type=pa.string()       )
              a__	:  Optional[Any]     =   pa.StructArray.from_arrays([bytes_array, path_array]				,				["bytes", "path"]				,				mask=storage.is_null()       )
        elif pa.types.is_list(storage.type       ):
              a__	:  Tuple     =   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()				,				)
              a__	:  Tuple     =   pa.array([None] * len(lowerCamelCase__       )				,				type=pa.string()       )
              a__	:  Union[str, Any]     =   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			:  List[str]				,				lowerCamelCase__			:  pa.StructArray       ):

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

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




def UpperCamelCase_				(				)	->   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()
            a__	:  Union[str, Any]     =   list(set(PIL.Image.OPEN.keys()      ) & set(PIL.Image.SAVE.keys()      )      )
      return _IMAGE_COMPRESSION_FORMATS



def UpperCamelCase_				(				__a      )	->   bytes:
      a__	:  Optional[Any]     =   BytesIO()
      if image.format in list_image_compression_formats():
            a__	:  List[Any]     =   image.format
      else:
            a__	:  Union[str, Any]     =   "PNG" if image.mode in ["1", "L", "LA", "RGB", "RGBA"] else "TIFF"
      image.save(__a			,				format=__a      )
      return buffer.getvalue()



def UpperCamelCase_				(				__a      )	->   dict:
      if hasattr(__a			,				"filename"      ) and image.filename != "":
            return {"path": image.filename, "bytes": None}
      else:
            return {"path": None, "bytes": image_to_bytes(__a      )}



def UpperCamelCase_				(				__a      )	->   dict:
      if config.PIL_AVAILABLE:
            import PIL.Image
      else:
            raise ImportError("To support encoding images, please install 'Pillow'."      )

      a__	:  List[Any]     =   array.dtype
      a__	:  Tuple     =   dtype.byteorder if dtype.byteorder != "=" else _NATIVE_BYTEORDER
      a__	:  Optional[int]     =   dtype.kind
      a__	:  Any     =   dtype.itemsize

      a__	:  int     =   None

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



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

      if objs:
            a__,	a__	:  Any     =   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      ):
                  a__	:  Optional[Any]     =   no_op_if_value_is_null(__a      )
                  return [obj_to_image_dict_func(__a      ) for obj in objs]
            elif isinstance(__a			,				PIL.Image.Image      ):
                  a__	:  Optional[int]     =   no_op_if_value_is_null(__a      )
                  return [obj_to_image_dict_func(__a      ) for obj in objs]
            else:
                  return objs
      else:
            return objs


'''simple docstring'''

import math
import sys



def snake_case_      (					__snake_case  :							str)			->					str:
   lowerCAmelCase_			=      ''''''
   try:
      with open(__snake_case	,   '''rb''') as binary_file:
         lowerCAmelCase_			=      binary_file.read()
      for dat in data:
         lowerCAmelCase_			=      F'''{dat:08b}'''
         result += curr_byte
      return result
   except OSError:
      print('''File not accessible''')
      sys.exit()



def snake_case_      (					__snake_case  :							str)			->					str:
   lowerCAmelCase_			=      {'''0''': '''0''', '''1''': '''1'''}
   lowerCAmelCase_	,lowerCAmelCase_			=      '''''', ''''''
   lowerCAmelCase_			=      len(__snake_case)

   for i in range(len(__snake_case)):
      curr_string += data_bits[i]
      if curr_string not in lexicon:
         continue

      lowerCAmelCase_			=      lexicon[curr_string]
      result += last_match_id
      lowerCAmelCase_			=      last_match_id + '''0'''

      if math.loga(__snake_case).is_integer():
         lowerCAmelCase_			=      {}
         for curr_key in list(__snake_case):
            lowerCAmelCase_			=      lexicon.pop(__snake_case)
         lowerCAmelCase_			=      new_lex

      lowerCAmelCase_			=      last_match_id + '''1'''
      index += 1
      lowerCAmelCase_			=      ''''''
   return result



def snake_case_      (					__snake_case  :							str	,   __snake_case  :							str)			->					None:
   lowerCAmelCase_			=      8
   try:
      with open(__snake_case	,   '''wb''') as opened_file:
         lowerCAmelCase_			=      [
             to_write[i : i + byte_length]
             for i in range(0	,   len(__snake_case)	,   __snake_case)
         ]

         if len(result_byte_array[-1]) % byte_length == 0:
            result_byte_array.append('''10000000''')
         else:
            result_byte_array[-1] += "1" + "0" * (
                byte_length - len(result_byte_array[-1]) - 1
            )

         for elem in result_byte_array[:-1]:
            opened_file.write(int(__snake_case	,   2).to_bytes(1	,   byteorder='''big'''))
   except OSError:
      print('''File not accessible''')
      sys.exit()



def snake_case_      (					__snake_case  :							str)			->					str:
   lowerCAmelCase_			=      0
   for letter in data_bits:
      if letter == "1":
         break
      counter += 1

   lowerCAmelCase_			=      data_bits[counter:]
   lowerCAmelCase_			=      data_bits[counter + 1 :]
   return data_bits



def snake_case_      (					__snake_case  :							str	,   __snake_case  :							str)			->					None:
   lowerCAmelCase_			=      read_file_binary(__snake_case)
   lowerCAmelCase_			=      remove_prefix(__snake_case)
   lowerCAmelCase_			=      decompress_data(__snake_case)
   write_file_binary(__snake_case	,   __snake_case)


if __name__ == "__main__":
 compress(sys.argv[1], sys.argv[2])





