a
    hj                     @   s`  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	 d dl
mZ e	drVd dlZg dZdeeeeeeef  d	d
dZee	ddeeeeef  dddZee	ddeeeeef  dddZee	ddeeeeef  dddZee	ddeeeeef  dddZee	ddeeeeef  dddZdS )    )AnyCallableIterableTupleN)Tensor)module_utils)dropping_supportnumpy)read_vec_int_arkread_vec_flt_scpread_vec_flt_arkread_mat_scpread_mat_arkF)
file_or_fdfnconvert_contiguousreturnc                 c   s4   || D ]&\}}|rt |}|t|fV  qdS )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)npZascontiguousarraytorchZ
from_numpy)r   r   r   keyZnp_arr r   A/var/www/auris/lib/python3.9/site-packages/torchaudio/kaldi_io.py _convert_method_output_to_tensor   s    
r   kaldi_io)r   r   c                 C   s   ddl }t| |jd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   r   r   r   r
   -   s    r
   c                 C   s   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   r   r   r   r   E   s    r   c                 C   s   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   r   r   r   r   Z   s    r   c                 C   s   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   r   r   r   r   o   s    r   c                 C   s   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   r   r   r   r      s    r   )F)typingr   r   r   r   r   r   Ztorchaudio._internalr   Z
_mod_utilsZ!torchaudio._internal.module_utilsr   Zis_module_availabler	   r   __all__boolstrr   Zrequires_moduler
   r   r   r   r   r   r   r   r   <module>   s6   

 
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