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    ~dn                 @   sX   d Z ddlmZmZ ddlmZ ddlmZ ddl	m
Z
mZ dZdd	d
ZdddZdS )zyThis module contains the relevant methods to generate a
time-frequency coherence spectrogram from a pair of time-series.
    )ProcessQueue)ceil)zeros   )SpectrogramSpectrogramListz(Duncan Macleod <duncan.macleod@ligo.org>Nc          	   K   s,  | j d|j dkrNt| j j|j j}| j j|krB||}qV| |} n| j j}|dkrb|}|dkrnd}t|| }t| j| }	t|| d d }
tt|	|
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|	D ]R}|| }|| }| || }||| }|j|f|||d	|}|j|j|< qW |S )
a$  Generate a time-frequency coherence
    :class:`~gwpy.spectrogram.Spectrogram` from a pair of
    :class:`~gwpy.timeseries.TimeSeries`.

    For each `stride`, a PSD :class:`~gwpy.frequencyseries.FrequencySeries`
    is generated, with all resulting spectra stacked in time and returned.
    ZHertzNr      r   T	coherence)epochdtZf0dfcopyunit)	fftlengthoverlapwindow)sample_ratetominvalueZresampleintsizer   r   r   ranger
   )ts1ts2strider   r   r   kwargsZsamplingZnstridenstepsZnfreqsoutstepidxZidx_endZstepseries1Zstepseries2Zstepcoh r"   g/work/yifan.wang/ringdown/master-ringdown-env/lib/python3.7/site-packages/gwpy/spectrogram/coherence.py_from_timeseries!   s6    

r$   c          
      s   dkrd  t | j| jj  }t||}|dks@|dkr\t| |f dS  fdd}	t t|| fdd	| |fD }
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d  |d |
d   |||
d  |d |
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}d|_
|| |  |d |
d  | jkrP qW g }x2|D ]*}| }t|trX|n
|| q:W x|D ]}|  qnW t| }|jdd d | S )a  Calculate the coherence `Spectrogram` between two `TimeSeries`.

    Parameters
    ----------
    timeseries : :class:`~gwpy.timeseries.TimeSeries`
        input time-series to process.
    stride : `float`
        number of seconds in single PSD (column of spectrogram).
    fftlength : `float`
        number of seconds in single FFT.
    overlap : `int`, optiona, default: fftlength
        number of seconds of overlap between FFTs, defaults to no overlap
    window : `timeseries.window.Window`, optional, default: `None`
        window function to apply to timeseries prior to FFT.
    nproc : `int`, default: ``1``
        maximum number of independent frame reading processes, default
        is set to single-process file reading.

    Returns
    -------
    spectrogram : :class:`~gwpy.spectrogram.Spectrogram`
        time-frequency power spectrogram as generated from the
        input time-series.
    Ng       @r   r   )r   r   r   c          
      sX   y&|  t||f d W n, tk
rR } z|  | W d d }~X Y nX d S )N)r   r   r   )putr$   	Exception)Zqueue_ZtsaZtsbexc)r   r   r   r   r   r"   r#   	_specgram   s    z"from_timeseries.<locals>._specgramc                s   g | ]} |j j  qS r"   )r   r   ).0ts)stepperprocr   r"   r#   
<listcomp>   s    z#from_timeseries.<locals>.<listcomp>)targetargsTc             S   s   | j jS )N)r   Zgps)specr"   r"   r#   <lambda>       z!from_timeseries.<locals>.<lambda>)key)r   r   r   r   r   r$   r   ProcessQueuer   r   daemonappendstartget
isinstancer&   joinr   sort)r   r   r   r   r   r   Znprocr   r   r(   ZnsampqueueZprocesslistiprocessdataresultr   r"   )r   r   r   r+   r   r   r#   from_timeseriesW   s@    
	 &


r@   )NNN)NNNr   )__doc__multiprocessingr   r   r3   mathr   numpyr   Zspectrogramr   r   
__author__r$   r@   r"   r"   r"   r#   <module>   s    
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