



'''simple docstring'''





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_	 =						None
lowercase_	 =						"<" 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_	 =						[
    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'''







 __lowerCamelCase					: bool    = True
 __lowerCamelCase					: Optional[str]    = None
 # Automatically constructed
 __lowerCamelCase					: ClassVar[str]    = "PIL.Image.Image"
 __lowerCamelCase					: ClassVar[Any]    = pa.struct({'bytes': pa.binary(), 'path': pa.string()}		)
 __lowerCamelCase					: str    = field(default='Image'     ,     init=A     ,     repr=A		)



 def __call__(self )					->  Union[str, Any]:


      """simple docstring"""



      return self.pa_type



 def       a__						(self				,     A )					->  dict:


      """simple docstring"""



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

      if isinstance(A				,     A ):
           _a											=						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       a__						(self				,     A				,     A=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:
           _a											=						{}

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



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


      """simple docstring"""



      from .features import Value

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



 def       a__						(self				,     A )					->  pa.StructArray:


      """simple docstring"""



      if pa.types.is_string(storage.type ):
           _a											=						pa.array([None] * len(A )				,     type=pa.binary() )
           _a											=						pa.StructArray.from_arrays([bytes_array, storage]				,     ['''bytes''', '''path''']				,     mask=storage.is_null() )
      elif pa.types.is_binary(storage.type ):
           _a											=						pa.array([None] * len(A )				,     type=pa.string() )
           _a											=						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											=						storage.field('''bytes''' )
           else:
                _a											=						pa.array([None] * len(A )				,     type=pa.binary() )
           if storage.type.get_field_index('''path''' ) >= 0:
                _a											=						storage.field('''path''' )
           else:
                _a											=						pa.array([None] * len(A )				,     type=pa.string() )
           _a											=						pa.StructArray.from_arrays([bytes_array, path_array]				,     ['''bytes''', '''path''']				,     mask=storage.is_null() )
      elif pa.types.is_list(storage.type ):
           _a											=						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()				,     )
           _a											=						pa.array([None] * len(A )				,     type=pa.string() )
           _a											=						pa.StructArray.from_arrays(
               [bytes_array, path_array]				,     ['''bytes''', '''path''']				,     mask=bytes_array.is_null() )
      return array_cast(A				,     self.pa_type )



 def       a__						(self				,     A )					->  pa.StructArray:


      """simple docstring"""



      @no_op_if_value_is_null
      def path_to_bytes(A ):
           with xopen(A				,     '''rb''' ) as f:
                _a											=						f.read()
           return bytes_

      _a											=						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											=						pa.array(
          [os.path.basename(A ) if path is not None else None for path in storage.field('''path''' ).to_pylist()]				,     type=pa.string()				,     )
      _a											=						pa.StructArray.from_arrays([bytes_array, path_array]				,     ['''bytes''', '''path''']				,     mask=bytes_array.is_null() )
      return array_cast(A				,     self.pa_type )





def lowerCAmelCase						():



     """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()
          _a											=						list(set(PIL.Image.OPEN.keys()) & set(PIL.Image.SAVE.keys()))
     return _IMAGE_COMPRESSION_FORMATS




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						BytesIO()
     if image.format in list_image_compression_formats():
          _a											=						image.format
     else:
          _a											=						'''PNG''' if image.mode in ['''1''', '''L''', '''LA''', '''RGB''', '''RGBA'''] else '''TIFF'''
     image.save(__A						,			format=__A)
     return buffer.getvalue()




def lowerCAmelCase						(__A):



     """simple docstring"""



     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):



     """simple docstring"""



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

     _a											=						array.dtype
     _a											=						dtype.byteorder if dtype.byteorder != '''=''' else _NATIVE_BYTEORDER
     _a											=						dtype.kind
     _a											=						dtype.itemsize

     _a											=						None

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




def lowerCAmelCase						(__A):



     """simple docstring"""



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

     if objs:
          _a						,					_a											=						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											=						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											=						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 numpy as np
import qiskit




def lowerCAmelCase						(__A = 8						,			__A = None):



     """simple docstring"""



     _a											=						np.random.default_rng(seed=__A)

     # Roughly 25% of the qubits will contribute to the key.
     # So we take more than we need.
     _a											=						6 * key_len
     # Measurement basis for Alice's qubits.
     _a											=						rng.integers(2						,			size=__A)
     # The set of states Alice will prepare.
     _a											=						rng.integers(2						,			size=__A)
     # Measurement basis for Bob's qubits.
     _a											=						rng.integers(2						,			size=__A)

     # Quantum Circuit to simulate BB84
     _a											=						qiskit.QuantumCircuit(__A						,			name='''BB84''')

     # Alice prepares her qubits according to rules above.
     for index, _ in enumerate(__A):
          if alice_state[index] == 1:
               bbaa_circ.x(__A)
          if alice_basis[index] == 1:
               bbaa_circ.h(__A)
     bbaa_circ.barrier()

     # Bob measures the received qubits according to rules above.
     for index, _ in enumerate(__A):
          if bob_basis[index] == 1:
               bbaa_circ.h(__A)

     bbaa_circ.barrier()
     bbaa_circ.measure_all()

     # Simulate the quantum circuit.
     _a											=						qiskit.Aer.get_backend('''aer_simulator''')
     # We only need to run one shot because the key is unique.
     # Multiple shots will produce the same key.
     _a											=						qiskit.execute(__A						,			__A						,			shots=1						,			seed_simulator=__A)
     # Returns the result of measurement.
     _a											=						job.result().get_counts(__A).most_frequent()

     # Extracting the generated key from the simulation results.
     # Only keep measurement results where Alice and Bob chose the same basis.
     _a											=						''''''.join(
         [
             result_bit
             for alice_basis_bit, bob_basis_bit, result_bit in zip(
                 __A						,			__A						,			__A)
             if alice_basis_bit == bob_basis_bit
         ])

     # Get final key. Pad with 0 if too short, otherwise truncate.
     _a											=						gen_key[:key_len] if len(__A) >= key_len else gen_key.ljust(__A						,			'''0''')
     return key


if __name__ == "__main__":
  print(F"""The generated key is : {bbaa(8, seed=0)}""")
  from doctest import testmod

  testmod()



