
    ujh                        d dl mZmZmZmZ d dlZd dlmZ d dlmZ	  e	j                  d      rd dlZg dZ	 ddeded	ed
eeeef      fdZ e	j"                  dd      ded
eeeef      fd       Z e	j"                  dd      ded
eeeef      fd       Z e	j"                  dd      ded
eeeef      fd       Z e	j"                  dd      ded
eeeef      fd       Z e	j"                  dd      ded
eeeef      fd       Zy)    )AnyCallableIterableTupleN)Tensor)module_utilsnumpy)read_vec_int_arkread_vec_flt_scpread_vec_flt_arkread_mat_scpread_mat_ark
file_or_fdfnconvert_contiguousreturnc              #      K    ||       D ]5  \  }}|rt        j                  |      }|t        j                  |      f 7 yw)a  Takes a method invokes it. The output is converted to a tensor.

    Args:
        file_or_fd (str/FileDescriptor): File name or file descriptor
        fn (Callable): Function that has the signature (file name/descriptor) and converts it to
            Iterable[Tuple[str, Tensor]].
        convert_contiguous (bool, optional): Determines whether the array should be converted into a
            contiguous layout. (Default: ``False``)

    Returns:
        Iterable[Tuple[str, Tensor]]: The string is the key and the tensor is vec/mat
    N)npascontiguousarraytorch
from_numpy)r   r   r   keynp_arrs        Q/var/www/html/dev/engine/venv/lib/python3.12/site-packages/torchaudio/kaldi_io.py _convert_method_output_to_tensorr      sH      *~ ,V))&1F5##F+++,s   AAkaldi_ioc                 :    ddl }t        | |j                  d      S )a  Create generator of (key,vector<int>) tuples, which reads from the ark file/stream.

    Args:
        file_or_fd (str/FileDescriptor): ark, gzipped ark, pipe or opened file descriptor

    Returns:
        Iterable[Tuple[str, Tensor]]: The string is the key and the tensor is the vector read from file

    Example
        >>> # read ark to a 'dictionary'
        >>> d = { u:d for u,d in torchaudio.kaldi_io.read_vec_int_ark(file) }
    r   NT)r   )r   r   r
   r   r   s     r   r
   r
   ,   s     
 ,J8Q8Qfjkk    c                 6    ddl }t        | |j                        S )a  Create generator of (key,vector<float32/float64>) tuples, read according to Kaldi scp.

    Args:
        file_or_fd (str/FileDescriptor): scp, gzipped scp, pipe or opened file descriptor

    Returns:
        Iterable[Tuple[str, Tensor]]: The string is the key and the tensor is the vector read from file

    Example
        >>> # read scp to a 'dictionary'
        >>> # d = { u:d for u,d in torchaudio.kaldi_io.read_vec_flt_scp(file) }
    r   N)r   r   r   r   s     r   r   r   C        +J8Q8QRRr   c                 6    ddl }t        | |j                        S )a  Create generator of (key,vector<float32/float64>) tuples, which reads from the ark file/stream.

    Args:
        file_or_fd (str/FileDescriptor): ark, gzipped ark, pipe or opened file descriptor

    Returns:
        Iterable[Tuple[str, Tensor]]: The string is the key and the tensor is the vector read from file

    Example
        >>> # read ark to a 'dictionary'
        >>> d = { u:d for u,d in torchaudio.kaldi_io.read_vec_flt_ark(file) }
    r   N)r   r   r   r   s     r   r   r   W   r!   r   c                 6    ddl }t        | |j                        S )a  Create generator of (key,matrix<float32/float64>) tuples, read according to Kaldi scp.

    Args:
        file_or_fd (str/FileDescriptor): scp, gzipped scp, pipe or opened file descriptor

    Returns:
        Iterable[Tuple[str, Tensor]]: The string is the key and the tensor is the matrix read from file

    Example
        >>> # read scp to a 'dictionary'
        >>> d = { u:d for u,d in torchaudio.kaldi_io.read_mat_scp(file) }
    r   N)r   r   r   r   s     r   r   r   k        +J8M8MNNr   c                 6    ddl }t        | |j                        S )a  Create generator of (key,matrix<float32/float64>) tuples, which reads from the ark file/stream.

    Args:
        file_or_fd (str/FileDescriptor): ark, gzipped ark, pipe or opened file descriptor

    Returns:
        Iterable[Tuple[str, Tensor]]: The string is the key and the tensor is the matrix read from file

    Example
        >>> # read ark to a 'dictionary'
        >>> d = { u:d for u,d in torchaudio.kaldi_io.read_mat_ark(file) }
    r   N)r   r   r   r   s     r   r   r      r$   r   )F)typingr   r   r   r   r   r   torchaudio._internalr   
_mod_utilsis_module_availabler	   r   __all__boolstrr   requires_moduler
   r   r   r   r    r   r   <module>r/      s   2 1   ;!:!!'* ?D,,!,7;,eCK !,* J0l l%V2D)E l 1l, J0S S%V2D)E S 1S& J0S S%V2D)E S 1S& J0OS OXeCK.@%A O 1O& J0OS OXeCK.@%A O 1Or   