




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


UpperCAmelCase_,UpperCAmelCase_,UpperCAmelCase_						=False, False, False


@dataclass
class 							__UpperCamelCase			:





				'''simple docstring'''



				__a							: Dict										=None
				__a							: str										=True
				__a							: List[Any]										=True
				__a							: Optional[int]										=None
				# Automatically constructed
				__a							: Optional[Any]										="""dict"""
				__a							: Union[str, Any]										=pa.struct({"""bytes""": pa.binary(), """path""": pa.string()}  )
				__a							: int										=field(default="""Audio"""     ,					init=__A     ,					repr=__A  )



				def __call__( self						):
											return self.pa_type



				def       __snake_case		( self       , UpperCAmelCase_						):

											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(UpperCAmelCase_       , UpperCAmelCase_						):
																		return {"bytes": None, "path": value}
											elif isinstance(UpperCAmelCase_       , UpperCAmelCase_						):
																		return {"bytes": value, "path": None}
											elif "array" in value:
																		# convert the audio array to wav bytes
																		lowerCAmelCase   =		BytesIO()
																		sf.write(UpperCAmelCase_       , 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!)
																																lowerCAmelCase   =		np.frombuffer(value['''bytes''']       , dtype=np.intaa						).astype(np.floataa						) / 3_27_67
																									else:
																																lowerCAmelCase   =		np.memmap(value['''path''']       , dtype='''h'''       , mode='''r'''						).astype(np.floataa						) / 3_27_67

																									lowerCAmelCase   =		BytesIO(bytes()						)
																									sf.write(UpperCAmelCase_       , UpperCAmelCase_       , 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       , UpperCAmelCase_       , UpperCAmelCase_ = None						):

											if not self.decode:
																		raise RuntimeError('''Decoding is disabled for this feature. Please use Audio(decode=True) instead.'''						)

											lowerCAmelCase   =		(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

											lowerCAmelCase   =		xsplitext(UpperCAmelCase_						)[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:
																		lowerCAmelCase   =		token_per_repo_id or {}
																		lowerCAmelCase   =		path.split('''::'''						)[-1]
																		try:
																									lowerCAmelCase   =		string_to_dict(UpperCAmelCase_       , config.HUB_DATASETS_URL						)['''repo_id''']
																									lowerCAmelCase   =		token_per_repo_id[repo_id]
																		except (ValueError, KeyError):
																									lowerCAmelCase   =		None

																		with xopen(UpperCAmelCase_       , '''rb'''       , use_auth_token=UpperCAmelCase_						) as f:
																									lowerCAmelCase   =		sf.read(UpperCAmelCase_						)

											else:
																		lowerCAmelCase   =		sf.read(UpperCAmelCase_						)

											lowerCAmelCase   =		array.T
											if self.mono:
																		lowerCAmelCase   =		librosa.to_mono(UpperCAmelCase_						)
											if self.sampling_rate and self.sampling_rate != sampling_rate:
																		lowerCAmelCase   =		librosa.resample(UpperCAmelCase_       , orig_sr=UpperCAmelCase_       , target_sr=self.sampling_rate						)
																		lowerCAmelCase   =		self.sampling_rate

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



				def       __snake_case		( self						):
											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       , UpperCAmelCase_						):

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






				def       __snake_case		( self       , UpperCAmelCase_						):

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

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









from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase



def       UpperCAmelCase       (     _snake_case							):
							lowerCAmelCase   ,     lowerCAmelCase   =		analyze_text(_snake_case							)
							lowerCAmelCase   =		list(''' ''' + ascii_lowercase							)
							# what is our total sum of probabilities.
							lowerCAmelCase   =		sum(single_char_strings.values()							)

							# one length string
							lowerCAmelCase   =		0
							# for each alpha we go in our dict and if it is in it we calculate entropy
							for ch in my_alphas:
														if ch in single_char_strings:
																					lowerCAmelCase   =		single_char_strings[ch]
																					lowerCAmelCase   =		my_str / all_sum
																					my_fir_sum += prob * math.loga(_snake_case							)  # entropy formula.

    # print entropy
							print(F"""{round(-1 * my_fir_sum							):.1f}"""							)

							# two len string
							lowerCAmelCase   =		sum(two_char_strings.values()							)
							lowerCAmelCase   =		0
							# for each alpha (two in size) calculate entropy.
							for cha in my_alphas:
														for cha in my_alphas:
																					lowerCAmelCase   =		cha + cha
																					if sequence in two_char_strings:
																												lowerCAmelCase   =		two_char_strings[sequence]
																												lowerCAmelCase   =		int(_snake_case							) / all_sum
																												my_sec_sum += prob * math.loga(_snake_case							)

    # print second entropy
							print(F"""{round(-1 * my_sec_sum							):.1f}"""							)

							# print the difference between them
							print(F"""{round((-1 * my_sec_sum) - (-1 * my_fir_sum)							):.1f}"""							)



def       UpperCAmelCase       (     _snake_case							):
							lowerCAmelCase   =		Counter()  # type: ignore
							lowerCAmelCase   =		Counter()  # type: ignore
							single_char_strings[text[-1]] += 1

							# first case when we have space at start.
							two_char_strings[" " + text[0]] += 1
							for i in range(0						, len(_snake_case							) - 1							):
														single_char_strings[text[i]] += 1
														two_char_strings[text[i : i + 2]] += 1
							return single_char_strings, two_char_strings



def       UpperCAmelCase       (     ):
							import doctest

							doctest.testmod()
							# text = (
							#     "Had repulsive dashwoods suspicion sincerity but advantage now him. Remark "
							#     "easily garret nor nay. Civil those mrs enjoy shy fat merry. You greatest "
							#     "jointure saw horrible. He private he on be imagine suppose. Fertile "
							#     "beloved evident through no service elderly is. Blind there if every no so "
							#     "at. Own neglected you preferred way sincerity delivered his attempted. To "
							#     "of message cottage windows do besides against uncivil.  Delightful "
							#     "unreserved impossible few estimating men favourable see entreaties. She "
							#     "propriety immediate was improving. He or entrance humoured likewise "
							#     "moderate. Much nor game son say feel. Fat make met can must form into "
							#     "gate. Me we offending prevailed discovery. "
							# )

							# calculate_prob(text)


if __name__ == "__main__":
		main()



