Python PlotExecutable.add_opt方法代码示例

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_single_template_plots(workflow, segs, seg_name, coinc, bank, num, out_dir, 
                               exclude=None, require=None, tags=None):
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = 'single_template_plot'
    secs = requirestr(workflow.cp.get_subsections(name), require)  
    secs = excludestr(secs, exclude)
    files = FileList([])
    for tag in secs:
        for ifo in workflow.ifos:
            # Reanalyze the time around the trigger in each detector
            node = PlotExecutable(workflow.cp, 'single_template', ifos=[ifo],
                                 out_dir=out_dir, tags=[tag] + tags).create_node()
            node.add_input_opt('--statmap-file', coinc)
            node.add_opt('--n-loudest', str(num))
            node.add_input_opt('--inspiral-segments', segs[ifo])
            node.add_opt('--segment-name', seg_name)
            node.add_input_opt('--bank-file', bank)
            node.new_output_file_opt(workflow.analysis_time, '.hdf', '--output-file')
            data = node.output_files[0]
            workflow += node
            
            # Make the plot for this trigger and detector
            node = PlotExecutable(workflow.cp, name, ifos=[ifo],
                                  out_dir=out_dir, tags=[tag] + tags).create_node()
            node.add_input_opt('--single-template-file', data)
            node.new_output_file_opt(workflow.analysis_time, '.png', '--output-file')
            workflow += node
            files += node.output_files
    return files      

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_coinc_info(workflow,
                    singles,
                    bank,
                    coinc,
                    num,
                    out_dir,
                    exclude=None,
                    require=None,
                    tags=None):
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = 'page_coincinfo'
    secs = requirestr(workflow.cp.get_subsections(name), require)
    secs = excludestr(secs, exclude)
    files = FileList([])
    node = PlotExecutable(
        workflow.cp, name, ifos=workflow.ifos, out_dir=out_dir,
        tags=tags).create_node()
    node.add_input_list_opt('--single-trigger-files', singles)
    node.add_input_opt('--statmap-file', coinc)
    node.add_input_opt('--bank-file', bank)
    node.add_opt('--n-loudest', str(num))
    node.new_output_file_opt(workflow.analysis_time, '.html', '--output-file')
    workflow += node
    files += node.output_files
    return files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_trigger_timeseries(workflow,
                            singles,
                            ifo_times,
                            out_dir,
                            special_tids,
                            exclude=None,
                            require=None,
                            tags=None):
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = 'plot_trigger_timeseries'
    secs = requirestr(workflow.cp.get_subsections(name), require)
    secs = excludestr(secs, exclude)
    files = FileList([])
    for tag in secs:
        node = PlotExecutable(
            workflow.cp,
            name,
            ifos=workflow.ifos,
            out_dir=out_dir,
            tags=[tag] + tags).create_node()
        node.add_multiifo_input_list_opt('--single-trigger-files', singles)
        node.add_opt('--times', ifo_times)
        node.new_output_file_opt(workflow.analysis_time, '.png',
                                 '--output-file')

        if special_tids is not None:
            node.add_opt('--special-trigger-ids', special_tids)

        workflow += node
        files += node.output_files
    return files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_inference_samples_plot(
                    workflow, inference_file, output_dir, parameters=None,
                    name="inference_samples", analysis_seg=None, tags=None):
    # default values
    tags = [] if tags is None else tags
    analysis_seg = workflow.analysis_time \
                       if analysis_seg is None else analysis_seg

    # make the directory that will contain the output files
    makedir(output_dir)

    # make a node for plotting the posterior as a corner plot
    node = PlotExecutable(workflow.cp, name, ifos=workflow.ifos,
                      out_dir=output_dir, universe="local",
                      tags=tags).create_node()

    # add command line options
    node.add_input_opt("--input-file", inference_file)
    node.new_output_file_opt(analysis_seg, ".png", "--output-file")
    node.add_opt("--parameters", " ".join(parameters))

    # add node to workflow
    workflow += node

    return node.output_files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_inference_corner_plot(workflow, inference_file, output_dir,
                    variable_args=None,
                    name="inference_posterior", analysis_seg=None, tags=None):
    """ Sets up the corner plot of the posteriors in the workflow.

    Parameters
    ----------
    workflow: pycbc.workflow.Workflow
        The core workflow instance we are populating
    inference_file: pycbc.workflow.File
        The file with posterior samples.
    output_dir: str
        The directory to store result plots and files.
    config_file: str
        The path to the inference configuration file that has a
        [variable_args] section.
    variable_args : list
        A list of parameters to use instead of [variable_args].
    name: str
        The name in the [executables] section of the configuration file
        to use.
    analysis_segs: {None, glue.segments.Segment}
       The segment this job encompasses. If None then use the total analysis
       time from the workflow.
    tags: {None, optional}
        Tags to add to the minifollowups executables.

    Returns
    -------
    pycbc.workflow.FileList
        A list of result and output files. 
    """

    # default values
    tags = [] if tags is None else tags
    analysis_seg = workflow.analysis_time \
                       if analysis_seg is None else analysis_seg

    # make the directory that will contain the output files
    makedir(output_dir)

    # make a node for plotting the posterior as a corner plot
    node = PlotExecutable(workflow.cp, name, ifos=workflow.ifos,
                      out_dir=output_dir, universe="local",
                      tags=tags).create_node()

    # add command line options
    node.add_input_opt("--input-file", inference_file)
    node.new_output_file_opt(analysis_seg, ".png", "--output-file")
    node.add_opt("--variable-args", " ".join(variable_args))

    # add node to workflow
    workflow += node

    return node.output_files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_inference_prior_plot(workflow, config_file, output_dir,
                    sections=None, name="inference_prior",
                    analysis_seg=None, tags=None):
    """ Sets up the corner plot of the priors in the workflow.

    Parameters
    ----------
    workflow: pycbc.workflow.Workflow
        The core workflow instance we are populating
    config_file: pycbc.workflow.File
        The WorkflowConfigParser parasable inference configuration file..
    output_dir: str
        The directory to store result plots and files.
    sections : list
        A list of subsections to use.
    name: str
        The name in the [executables] section of the configuration file
        to use.
    analysis_segs: {None, ligo.segments.Segment}
       The segment this job encompasses. If None then use the total analysis
       time from the workflow.
    tags: {None, optional}
        Tags to add to the inference executables.

    Returns
    -------
    pycbc.workflow.FileList
        A list of result and output files.
    """

    # default values
    tags = [] if tags is None else tags
    analysis_seg = workflow.analysis_time \
                       if analysis_seg is None else analysis_seg

    # make the directory that will contain the output files
    makedir(output_dir)

    # make a node for plotting the posterior as a corner plot
    node = PlotExecutable(workflow.cp, name, ifos=workflow.ifos,
                      out_dir=output_dir, universe="local",
                      tags=tags).create_node()

    # add command line options
    node.add_input_opt("--config-file", config_file)
    node.new_output_file_opt(analysis_seg, ".png", "--output-file")
    if sections is not None:
        node.add_opt("--sections", " ".join(sections))

    # add node to workflow
    workflow += node

    return node.output_files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_inj_info(workflow, injection_file, injection_index, num, out_dir, tags=None):
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = "page_injinfo"
    files = FileList([])
    node = PlotExecutable(workflow.cp, name, ifos=workflow.ifos, out_dir=out_dir, tags=tags).create_node()
    node.add_input_opt("--injection-file", injection_file)
    node.add_opt("--injection-index", str(injection_index))
    node.add_opt("--n-nearest", str(num))
    node.new_output_file_opt(workflow.analysis_time, ".html", "--output-file")
    workflow += node
    files += node.output_files
    return files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_coinc_info(workflow, singles, bank, coinc, num, out_dir, tags=None):
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = "page_coincinfo"
    files = FileList([])
    node = PlotExecutable(workflow.cp, name, ifos=workflow.ifos, out_dir=out_dir, tags=tags).create_node()
    node.add_input_list_opt("--single-trigger-files", singles)
    node.add_input_opt("--statmap-file", coinc)
    node.add_input_opt("--bank-file", bank)
    node.add_opt("--n-loudest", str(num))
    node.new_output_file_opt(workflow.analysis_time, ".html", "--output-file")
    workflow += node
    files += node.output_files
    return files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_sngl_ifo(workflow, sngl_file, bank_file, trigger_id, out_dir, ifo, tags=None, rank=None):
    """Setup a job to create sngl detector sngl ifo html summary snippet.
    """
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = "page_snglinfo"
    files = FileList([])
    node = PlotExecutable(workflow.cp, name, ifos=[ifo], out_dir=out_dir, tags=tags).create_node()
    node.add_input_opt("--single-trigger-file", sngl_file)
    node.add_input_opt("--bank-file", bank_file)
    node.add_opt("--trigger-id", str(trigger_id))
    if rank is not None:
        node.add_opt("--n-loudest", str(rank))
    node.add_opt("--instrument", ifo)
    node.new_output_file_opt(workflow.analysis_time, ".html", "--output-file")
    workflow += node
    files += node.output_files
    return files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_singles_timefreq(workflow, single, bank_file, start, end, out_dir, veto_file=None, tags=None):
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = "plot_singles_timefreq"

    node = PlotExecutable(workflow.cp, name, ifos=[single.ifo], out_dir=out_dir, tags=tags).create_node()
    node.add_input_opt("--trig-file", single)
    node.add_input_opt("--bank-file", bank_file)
    node.add_opt("--gps-start-time", int(start))
    node.add_opt("--gps-end-time", int(end))

    if veto_file:
        node.add_input_opt("--veto-file", veto_file)

    node.add_opt("--detector", single.ifo)
    node.new_output_file_opt(workflow.analysis_time, ".png", "--output-file")
    workflow += node
    return node.output_files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_coinc_info(workflow, singles, bank, coinc, out_dir,
                    n_loudest=None, trig_id=None, file_substring=None,
                    tags=None):
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = 'page_coincinfo'
    files = FileList([])
    node = PlotExecutable(workflow.cp, name, ifos=workflow.ifos,
                              out_dir=out_dir, tags=tags).create_node()
    node.add_input_list_opt('--single-trigger-files', singles)
    node.add_input_opt('--statmap-file', coinc)
    node.add_input_opt('--bank-file', bank)
    if n_loudest is not None:
        node.add_opt('--n-loudest', str(n_loudest))
    if trig_id is not None:
        node.add_opt('--trigger-id', str(trig_id))
    if file_substring is not None:
        node.add_opt('--statmap-file-subspace-name', file_substring)
    node.new_output_file_opt(workflow.analysis_time, '.html', '--output-file')
    workflow += node
    files += node.output_files
    return files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_sngl_ifo(workflow, sngl_file, bank_file, num, out_dir, ifo,
                  veto_file=None, veto_segment_name=None, tags=None):
    """Setup a job to create sngl detector sngl ifo html summary snippet.
    """
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = 'page_snglinfo'
    files = FileList([])
    node = PlotExecutable(workflow.cp, name, ifos=[ifo],
                              out_dir=out_dir, tags=tags).create_node()
    node.add_input_opt('--single-trigger-file', sngl_file)
    node.add_input_opt('--bank-file', bank_file)
    if veto_file is not None:
        assert(veto_segment_name is not None)
        node.add_input_opt('--veto-file', veto_file)
        node.add_opt('--veto-segment-name', veto_segment_name)
    node.add_opt('--n-loudest', str(num))
    node.add_opt('--instrument', ifo)
    node.new_output_file_opt(workflow.analysis_time, '.html', '--output-file')
    workflow += node
    files += node.output_files
    return files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_plot_waveform_plot(workflow, params, out_dir, ifos, exclude=None,
                            require=None, tags=None):
    """ Add plot_waveform jobs to the workflow.
    """
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = 'single_template_plot'
    secs = requirestr(workflow.cp.get_subsections(name), require)
    secs = excludestr(secs, exclude)
    files = FileList([])
    for tag in secs:
        node = PlotExecutable(workflow.cp, 'plot_waveform', ifos=ifos,
                              out_dir=out_dir, tags=[tag] + tags).create_node()
        node.add_opt('--mass1', "%.6f" % params['mass1'])
        node.add_opt('--mass2', "%.6f" % params['mass2'])
        node.add_opt('--spin1z',"%.6f" % params['spin1z'])
        node.add_opt('--spin2z',"%.6f" % params['spin2z'])
        if params.has_key('u_vals'):
            # Precessing options
            node.add_opt('--spin1x',"%.6f" % params['spin1x'])
            node.add_opt('--spin2x',"%.6f" % params['spin2x'])
            node.add_opt('--spin1y',"%.6f" % params['spin1y'])
            node.add_opt('--spin2y',"%.6f" % params['spin2y'])
            node.add_opt('--inclination',"%.6f" % params['inclination'])
            node.add_opt('--u-val', "%.6f" % params['u_vals'])
        node.new_output_file_opt(workflow.analysis_time, '.png',
                                     '--output-file')
        workflow += node
        files += node.output_files
    return files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_plot_waveform_plot(workflow, params, out_dir, ifos, exclude=None, require=None, tags=None):
    """ Add plot_waveform jobs to the workflow.
    """
    tags = [] if tags is None else tags
    makedir(out_dir)
    name = "single_template_plot"
    secs = requirestr(workflow.cp.get_subsections(name), require)
    secs = excludestr(secs, exclude)
    files = FileList([])
    for tag in secs:
        node = PlotExecutable(workflow.cp, "plot_waveform", ifos=ifos, out_dir=out_dir, tags=[tag] + tags).create_node()
        node.add_opt("--mass1", "%.6f" % params["mass1"])
        node.add_opt("--mass2", "%.6f" % params["mass2"])
        node.add_opt("--spin1z", "%.6f" % params["spin1z"])
        node.add_opt("--spin2z", "%.6f" % params["spin2z"])
        if params.has_key("u_vals"):
            # Precessing options
            node.add_opt("--spin1x", "%.6f" % params["spin1x"])
            node.add_opt("--spin2x", "%.6f" % params["spin2x"])
            node.add_opt("--spin1y", "%.6f" % params["spin1y"])
            node.add_opt("--spin2y", "%.6f" % params["spin2y"])
            node.add_opt("--inclination", "%.6f" % params["inclination"])
            node.add_opt("--u-val", "%.6f" % params["u_vals"])
        node.new_output_file_opt(workflow.analysis_time, ".png", "--output-file")
        workflow += node
        files += node.output_files
    return files

# 需要导入模块: from pycbc.workflow.plotting import PlotExecutable [as 别名]
# 或者: from pycbc.workflow.plotting.PlotExecutable import add_opt [as 别名]
def make_inference_single_parameter_plots(workflow, mcmc_file, output_dir,
                    config_file, samples_name="mcmc_samples",
                    auto_name="mcmc_acf", analysis_seg=None, tags=None):
    """ Sets up single-parameter plots from MCMC in the workflow.

    Parameters
    ----------
    workflow: pycbc.workflow.Workflow
        The core workflow instance we are populating
    mcmc_file: pycbc.workflow.File
        The file with MCMC samples.
    output_dir: str
        The directory to store result plots and files.
    config_file: str
        The path to the inference configuration file that has a
        [variable_args] section.
    samples_name: str
        The name in the [executables] section of the configuration file
        to use for the plot that shows all samples.
    auto_name: str
        The name in the [executables] section of the configuration file
        to use for the autocorrelation function plot.
    analysis_segs: {None, glue.segments.Segment}
       The segment this job encompasses. If None then use the total analysis
       time from the workflow.
    tags: {None, optional}
        Tags to add to the minifollowups executables.

    Returns
    -------
    files: pycbc.workflow.FileList
        A list of result and output files. 
    """

    # default values
    tags = [] if tags is None else tags
    analysis_seg = workflow.analysis_time \
                       if analysis_seg is None else analysis_seg

    # read config file to get variables that vary
    cp = WorkflowConfigParser([config_file])
    variable_args = cp.options("variable_args")

    # make the directory that will contain the output files
    makedir(output_dir)

    # list of all output files
    files = FileList()

    # make a set of plots for each parameter
    for arg in variable_args:

        # make a node for plotting all the samples
        samples_node = PlotExecutable(workflow.cp, samples_name,
                          ifos=workflow.ifos, out_dir=output_dir,
                          tags=tags + [arg]).create_node()

        # add command line options
        samples_node.add_input_opt("--input-file", mcmc_file)
        samples_node.new_output_file_opt(analysis_seg, ".png", "--output-file")
        samples_node.add_opt("--variable-args", arg)
        samples_node.add_opt("--labels", arg)

        # make node for plotting the autocorrelation function for each walker
        auto_node = PlotExecutable(workflow.cp, auto_name, ifos=workflow.ifos,
                          out_dir=output_dir, tags=tags + [arg]).create_node()

        # add command line options
        auto_node.add_input_opt("--input-file", mcmc_file)
        auto_node.new_output_file_opt(analysis_seg, ".png", "--output-file")
        auto_node.add_opt("--variable-args", arg)

        # add nodes to workflow
        workflow += samples_node
        workflow += auto_node

        # add files to output files list
        files += samples_node.output_files
        files += auto_node.output_files

    return files