
import os
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Union

import numpy as np
import pyarrow as pa

from .. import config
from ..download.streaming_download_manager import xopen, xsplitext
from ..table import array_cast
from ..utils.py_utils import no_op_if_value_is_null, string_to_dict


if TYPE_CHECKING:
 from .features import FeatureType


_lowercase					,   _lowercase					,   _lowercase											=    False, False, False


@dataclass
class 			lowercase_		:
       __lowerCamelCase				       =						None
       __lowerCamelCase				       =						True
       __lowerCamelCase				       =						True
       __lowerCamelCase				       =						None
       # Automatically constructed
       __lowerCamelCase				       =						"dict"
       __lowerCamelCase				       =						pa.struct({"bytes": pa.binary(), "path": pa.string()}       )
       __lowerCamelCase				       =						field(default="Audio"  ,      init=A  ,      repr=A       )


       def __call__(    self				)						->    int:
              return self.pa_type


       def 	_snake_case				(    self						,       __A				)						->    dict:
              try:
                     import soundfile as sf  # soundfile is a dependency of librosa, needed to decode audio files.
              except ImportError as err:
                     raise ImportError('''To support encoding audio data, please install \'soundfile\'.'''				) from err
              if isinstance(__A						,       __A				):
                     return {"bytes": None, "path": value}
              elif isinstance(__A						,       __A				):
                     return {"bytes": value, "path": None}
              elif "array" in value:
                     # convert the audio array to wav bytes
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=BytesIO()
                     sf.write(__A						,       value['''array''']						,       value['''sampling_rate''']						,       format='''wav'''				)
                     return {"bytes": buffer.getvalue(), "path": None}
              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
                     if value["path"].endswith('''pcm'''				):
                            # "PCM" only has raw audio bytes
                            if value.get('''sampling_rate'''				) is None:
                                   # At least, If you want to convert "PCM-byte" to "WAV-byte", you have to know sampling rate
                                   raise KeyError('''To use PCM files, please specify a \'sampling_rate\' in Audio object'''				)
                            if value.get('''bytes'''				):
                                   # If we already had PCM-byte, we don`t have to make "read file, make bytes" (just use it!)
                                   SCREAMING_SNAKE_CASE_							:				Optional[int]		=np.frombuffer(value['''bytes''']						,       dtype=np.intaa				).astype(np.floataa				) / 32_767
                            else:
                                   SCREAMING_SNAKE_CASE_							:				List[Any]		=np.memmap(value['''path''']						,       dtype='''h'''						,       mode='''r'''				).astype(np.floataa				) / 32_767

                            SCREAMING_SNAKE_CASE_							:				Optional[Any]		=BytesIO(bytes()				)
                            sf.write(__A						,       __A						,       value['''sampling_rate''']						,       format='''wav'''				)
                            return {"bytes": buffer.getvalue(), "path": None}
                     else:
                            return {"bytes": None, "path": value.get('''path'''				)}
              elif value.get('''bytes'''				) is not None or value.get('''path'''				) is not None:
                     # store the audio bytes, and path is used to infer the audio format using the file extension
                     return {"bytes": value.get('''bytes'''				), "path": value.get('''path'''				)}
              else:
                     raise ValueError(
                         F'An audio sample should have one of \'path\' or \'bytes\' but they are missing or None in {value}.'				)


       def 	_snake_case				(    self						,       __A						,       __A = None				)						->    dict:
              if not self.decode:
                     raise RuntimeError('''Decoding is disabled for this feature. Please use Audio(decode=True) instead.'''				)

              SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=(value['''path'''], BytesIO(value['''bytes''']				)) if value['''bytes'''] is not None else (value['''path'''], None)
              if path is None and file is None:
                     raise ValueError(F'An audio sample should have one of \'path\' or \'bytes\' but both are None in {value}.'				)

              try:
                     import librosa
                     import soundfile as sf
              except ImportError as err:
                     raise ImportError('''To support decoding audio files, please install \'librosa\' and \'soundfile\'.'''				) from err

              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=xsplitext(__A				)[1][1:].lower() if path is not None else None
              if not config.IS_OPUS_SUPPORTED and audio_format == "opus":
                     raise RuntimeError(
                         '''Decoding \'opus\' files requires system library \'libsndfile\'>=1.0.31, '''
                         '''You can try to update `soundfile` python library: `pip install "soundfile>=0.12.1"`. '''				)
              elif not config.IS_MP3_SUPPORTED and audio_format == "mp3":
                     raise RuntimeError(
                         '''Decoding \'mp3\' files requires system library \'libsndfile\'>=1.1.0, '''
                         '''You can try to update `soundfile` python library: `pip install "soundfile>=0.12.1"`. '''				)

              if file is None:
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=token_per_repo_id or {}
                     SCREAMING_SNAKE_CASE_							:				Any		=path.split('''::'''				)[-1]
                     try:
                            SCREAMING_SNAKE_CASE_							:				List[Any]		=string_to_dict(__A						,       config.HUB_DATASETS_URL				)['''repo_id''']
                            SCREAMING_SNAKE_CASE_							:				Tuple		=token_per_repo_id[repo_id]
                     except (ValueError, KeyError):
                            SCREAMING_SNAKE_CASE_							:				str		=None

                     with xopen(__A						,       '''rb'''						,       use_auth_token=__A				) as f:
                            SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_							:				str		=sf.read(__A				)

              else:
                     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=sf.read(__A				)

              SCREAMING_SNAKE_CASE_							:				List[str]		=array.T
              if self.mono:
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=librosa.to_mono(__A				)
              if self.sampling_rate and self.sampling_rate != sampling_rate:
                     SCREAMING_SNAKE_CASE_							:				str		=librosa.resample(__A						,       orig_sr=__A						,       target_sr=self.sampling_rate				)
                     SCREAMING_SNAKE_CASE_							:				Dict		=self.sampling_rate

              return {"path": path, "array": array, "sampling_rate": sampling_rate}


       def 	_snake_case				(    self				)						->    Union["FeatureType", Dict[str, "FeatureType"]]:
              from .features import Value

              if self.decode:
                     raise ValueError('''Cannot flatten a decoded Audio feature.'''				)
              return {
                  "bytes": Value('''binary'''				),
                  "path": Value('''string'''				),
              }


       def 	_snake_case				(    self						,       __A				)						->    pa.StructArray:
              if pa.types.is_string(storage.type				):
                     SCREAMING_SNAKE_CASE_							:				List[str]		=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_							:				Tuple		=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				) and storage.type.get_all_field_indices('''array'''				):
                     SCREAMING_SNAKE_CASE_							:				Any		=pa.array([Audio().encode_example(__A				) if x is not None else None for x in storage.to_pylist()]				)
              elif pa.types.is_struct(storage.type				):
                     if storage.type.get_field_index('''bytes'''				) >= 0:
                            SCREAMING_SNAKE_CASE_							:				Tuple		=storage.field('''bytes'''				)
                     else:
                            SCREAMING_SNAKE_CASE_							:				str		=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_							:				Dict		=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()				)
              return array_cast(__A						,       self.pa_type				)





       def 	_snake_case				(    self						,       __A				)						->    pa.StructArray:

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

              SCREAMING_SNAKE_CASE_							:				Optional[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_							:				Union[str, 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_							:				str		=pa.StructArray.from_arrays([bytes_array, path_array]						,       ['''bytes''', '''path''']						,       mask=bytes_array.is_null()				)
              return array_cast(__A						,       self.pa_type				)


import string

import numpy
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     int				)			->						int:
       return b if a == 0 else greatest_common_divisor(b % a			,							UpperCAmelCase_				)


class 			lowercase_		:
       __lowerCamelCase				       =						string.ascii_uppercase + string.digits
       # This cipher takes alphanumerics into account
       # i.e. a total of 36 characters

       # take x and return x % len(key_string)
       __lowerCamelCase				       =						numpy.vectorize(lambda A       : x % 3_6       )

       __lowerCamelCase				       =						numpy.vectorize(A       )


       def __init__(    self						,       __A				)						->    None:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=self.modulus(__A				)  # mod36 calc's on the encrypt key
              self.check_determinant()  # validate the determinant of the encryption key
              SCREAMING_SNAKE_CASE_							:				Dict		=encrypt_key.shape[0]


       def 	_snake_case				(    self						,       __A				)						->    int:
              return self.key_string.index(__A				)


       def 	_snake_case				(    self						,       __A				)						->    str:
              return self.key_string[round(__A				)]


       def 	_snake_case				(    self				)						->    None:
              SCREAMING_SNAKE_CASE_							:				List[str]		=round(numpy.linalg.det(self.encrypt_key				)				)

              if det < 0:
                     SCREAMING_SNAKE_CASE_							:				Optional[int]		=det % len(self.key_string				)

              SCREAMING_SNAKE_CASE_							:				List[Any]		=len(self.key_string				)
              if greatest_common_divisor(__A						,       len(self.key_string				)				) != 1:
                     SCREAMING_SNAKE_CASE_							:				Any		=(
                         F'determinant modular {req_l} of encryption key({det}) '
                         F'is not co prime w.r.t {req_l}.\nTry another key.'
                     )
                     raise ValueError(__A				)


       def 	_snake_case				(    self						,       __A				)						->    str:
              SCREAMING_SNAKE_CASE_							:				List[Any]		=[char for char in text.upper() if char in self.key_string]

              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=chars[-1]
              while len(__A				) % self.break_key != 0:
                     chars.append(__A				)

              return "".join(__A				)


       def 	_snake_case				(    self						,       __A				)						->    str:
              SCREAMING_SNAKE_CASE_							:				Dict		=self.process_text(text.upper()				)
              SCREAMING_SNAKE_CASE_							:				Dict		=''''''

              for i in range(0						,       len(__A				) - self.break_key + 1						,       self.break_key				):
                     SCREAMING_SNAKE_CASE_							:				Any		=text[i : i + self.break_key]
                     SCREAMING_SNAKE_CASE_							:				Optional[int]		=[self.replace_letters(__A				) for char in batch]
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=numpy.array([vec]				).T
                     SCREAMING_SNAKE_CASE_							:				List[str]		=self.modulus(self.encrypt_key.dot(__A				)				).T.tolist()[
                         0
                     ]
                     SCREAMING_SNAKE_CASE_							:				List[Any]		=''''''.join(
                         self.replace_digits(__A				) for num in batch_encrypted				)
                     encrypted += encrypted_batch

              return encrypted


       def 	_snake_case				(    self				)						->    numpy.ndarray:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=round(numpy.linalg.det(self.encrypt_key				)				)

              if det < 0:
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=det % len(self.key_string				)
              SCREAMING_SNAKE_CASE_							:				List[Any]		=None
              for i in range(len(self.key_string				)				):
                     if (det * i) % len(self.key_string				) == 1:
                            SCREAMING_SNAKE_CASE_							:				List[str]		=i
                            break

              SCREAMING_SNAKE_CASE_							:				List[str]		=(
                  det_inv
                  * numpy.linalg.det(self.encrypt_key				)
                  * numpy.linalg.inv(self.encrypt_key				)
              )

              return self.to_int(self.modulus(__A				)				)





       def 	_snake_case				(    self						,       __A				)						->    str:
              SCREAMING_SNAKE_CASE_							:				int		=self.make_decrypt_key()
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=self.process_text(text.upper()				)
              SCREAMING_SNAKE_CASE_							:				Any		=''''''

              for i in range(0						,       len(__A				) - self.break_key + 1						,       self.break_key				):
                     SCREAMING_SNAKE_CASE_							:				List[str]		=text[i : i + self.break_key]
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=[self.replace_letters(__A				) for char in batch]
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=numpy.array([vec]				).T
                     SCREAMING_SNAKE_CASE_							:				str		=self.modulus(decrypt_key.dot(__A				)				).T.tolist()[0]
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=''''''.join(
                         self.replace_digits(__A				) for num in batch_decrypted				)
                     decrypted += decrypted_batch

              return decrypted






def 							SCREAMING_SNAKE_CASE_	(					)			->						None:
       SCREAMING_SNAKE_CASE_							:				List[str]		=int(input('''Enter the order of the encryption key: '''				)				)
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=[]

       print('''Enter each row of the encryption key with space separated integers'''				)
       for _ in range(UpperCAmelCase_				):
              SCREAMING_SNAKE_CASE_							:				Tuple		=[int(UpperCAmelCase_				) for x in input().split()]
              hill_matrix.append(UpperCAmelCase_				)

       SCREAMING_SNAKE_CASE_							:				Optional[int]		=HillCipher(numpy.array(UpperCAmelCase_				)				)

       print('''Would you like to encrypt or decrypt some text? (1 or 2)'''				)
       SCREAMING_SNAKE_CASE_							:				Dict		=input('''\n1. Encrypt\n2. Decrypt\n'''				)
       if option == "1":
              SCREAMING_SNAKE_CASE_							:				List[Any]		=input('''What text would you like to encrypt?: '''				)
              print('''Your encrypted text is:'''				)
              print(hc.encrypt(UpperCAmelCase_				)				)
       elif option == "2":
              SCREAMING_SNAKE_CASE_							:				Any		=input('''What text would you like to decrypt?: '''				)
              print('''Your decrypted text is:'''				)
              print(hc.decrypt(UpperCAmelCase_				)				)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 main()
