From eb255d6659a27c8389f405d3b21e61bf1586371a Mon Sep 17 00:00:00 2001 From: Calum Chamberlain work Date: Sat, 21 Nov 2015 00:20:03 +0000 Subject: [PATCH] Migrate gh-pages from API-docs to jekyll site --- .gitignore | 20 + .nojekyll | 0 _config.yml | 12 + _images/EQcorrscan_logo.png | Bin 42799 -> 0 bytes _images/processing_flow.png | Bin 154103 -> 0 bytes _includes/footer.html | 55 + _includes/google_analytics.html | 10 + _includes/head.html | 11 + _includes/header.html | 27 + _includes/index.md | 17 + _layouts/default.html | 20 + _layouts/page.html | 14 + _layouts/post.html | 15 + _modules/EQcorrscan_plotting.html | 1008 -- _modules/Sfile_util.html | 872 -- _modules/bright_lights.html | 939 -- _modules/catalogue2DD.html | 567 - _modules/clustering.html | 835 -- _modules/findpeaks.html | 513 - _modules/index.html | 201 - _modules/lag_calc.html | 383 - _modules/mag_calc.html | 917 -- _modules/match_filter.html | 751 -- _modules/pre_processing.html | 413 - _modules/stacking.html | 323 - 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mode 100644 submodules/utils.EQcorrscan_plotting.html delete mode 100644 submodules/utils.Sfile_util.html delete mode 100644 submodules/utils.catalogue2DD.html delete mode 100644 submodules/utils.clustering.html delete mode 100644 submodules/utils.findpeaks.html delete mode 100644 submodules/utils.mag_calc.html delete mode 100644 submodules/utils.pre_processing.html delete mode 100644 submodules/utils.stacking.html delete mode 100644 tutorial.html delete mode 100644 utils.html diff --git a/.gitignore b/.gitignore new file mode 100644 index 000000000..d75a4982c --- /dev/null +++ b/.gitignore @@ -0,0 +1,20 @@ +Gemfile.lock +test/dest +*.gem +pkg/ +*.swp +*~ +_site/ +.bundle/ +.DS_Store +bbin/ +gh-pages/ +site/_site/ +coverage +.ruby-version +.ruby-gemset +.sass-cache +tmp/* +.jekyll-metadata +/vendor +/test/source/file_name.txt diff --git a/.nojekyll b/.nojekyll deleted file mode 100644 index e69de29bb..000000000 diff --git a/_config.yml b/_config.yml new file mode 100644 index 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 diff --git a/_includes/google_analytics.html b/_includes/google_analytics.html new file mode 100644 index 000000000..8ccb1d545 --- /dev/null +++ b/_includes/google_analytics.html @@ -0,0 +1,10 @@ + diff --git a/_includes/head.html b/_includes/head.html new file mode 100644 index 000000000..4d7e8f001 --- /dev/null +++ b/_includes/head.html @@ -0,0 +1,11 @@ + + + + + + {% if page.title %}{{ page.title }}{% else %}{{ site.title }}{% endif %} + + + + + diff --git a/_includes/header.html b/_includes/header.html new file mode 100644 index 000000000..cfe381f75 --- /dev/null +++ b/_includes/header.html @@ -0,0 +1,27 @@ +
+ +
+ + {{ site.title }} + + + +
+ +
diff --git a/_includes/index.md b/_includes/index.md new file mode 100644 index 000000000..6a7240922 --- /dev/null +++ b/_includes/index.md @@ -0,0 +1,17 @@ +Welcome to EQcorrscan. + +These pages make up the general documentation of the EQcorrscan project, the +full API can be found +[here](http://eqcorrscan.readthedocs.org/en/latest/?badge=latest). This project +is an open source, Python project for the detection and analysis of repeating +and near-repeating earthquakes. The codes are hosted on +[github](https://github.com/calum-chamberlain/EQcorrscan), with the latest +release also available on [pypi](https://pypi.python.org/pypi/EQcorrscan/0.0.8). + +This project is in constant development, although the core routines are relatively +stable. Before we migrate to a 0.1.0 release we plan on implementing more tests +and adapting the code to more pep8 friendly style (currently we mostly follow +pep8 guidelines, but we are always learning!). + +You can find more details about the project on the [About](about) page, and +details on how to install and update on the [Installation](Installation) page. diff --git a/_layouts/default.html b/_layouts/default.html new file mode 100644 index 000000000..3ad04d185 --- /dev/null +++ b/_layouts/default.html @@ -0,0 +1,20 @@ + + + + {% include head.html %} + + + + {% include header.html %} + +
+
+ {{ content }} +
+
+ + {% include footer.html %} + {% include google_analytics.html %} + + + diff --git a/_layouts/page.html b/_layouts/page.html new file mode 100644 index 000000000..74c1a1184 --- /dev/null +++ b/_layouts/page.html @@ -0,0 +1,14 @@ +--- +layout: default +--- +
+ +
+

{{ page.title }}

+
+ +
+ {{ content }} +
+ +
diff --git a/_layouts/post.html b/_layouts/post.html new file mode 100644 index 000000000..a2b4e52fe --- /dev/null +++ b/_layouts/post.html @@ -0,0 +1,15 @@ +--- +layout: default +--- +
+ +
+

{{ page.title }}

+

{{ page.date | date: "%b %-d, %Y" }}{% if page.author %} • {{ page.author }}{% endif %}{% if page.meta %} • {{ page.meta }}{% endif %}

+
+ +
+ {{ content }} +
+ +
diff --git a/_modules/EQcorrscan_plotting.html b/_modules/EQcorrscan_plotting.html deleted file mode 100644 index 5fb81ff33..000000000 --- a/_modules/EQcorrscan_plotting.html +++ /dev/null @@ -1,1008 +0,0 @@ - - - - - - - - - - EQcorrscan_plotting — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for EQcorrscan_plotting

-#!/usr/bin/python
-"""
-Utility code for most of the plots used as part of the EQcorrscan package.
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-import numpy as np
-import matplotlib.pylab as plt
-
-
[docs]def chunk_data(tr, samp_rate, state='mean'):
-    """
-    Function to downsample data for plotting by computing the maximum of
-    data within chunks, usefil for plotting waveforms or cccsums, large datasets
-    that ould otherwise exceed the complexity allowed, and overflow.
-
-    :type tr: :class: obspy.Trace
-    :param tr: Trace to be chunked
-    :type samp_rate: float
-    :param samp_rate: Desired sampling rate in Hz
-    :type state: str
-    :param state: Either 'Min', 'Max', 'Mean' or 'Maxabs' to return one of\
-            these for the chunks. Maxabs will return the largest (positive or\
-            negative) for that chunk.
-
-    :returns: :class: obspy.Trace
-    """
-    trout=tr.copy() # Don't do it inplace on data
-    x = np.arange(len(tr.data))
-    y = tr.data
-
-    chunksize=int(round(tr.stats.sampling_rate/samp_rate))
-    # Wrap the array into a 2D array of chunks, truncating the last chunk if
-    # chunksize isn't an even divisor of the total size.
-    # (This part won't use _any_ additional memory)
-    numchunks = y.size // chunksize
-    ychunks = y[:chunksize*numchunks].reshape((-1, chunksize))
-    xchunks = x[:chunksize*numchunks].reshape((-1, chunksize))
-
-    # Calculate the max, min, and means of chunksize-element chunks...
-    if state=='Max':
-        trout.data = ychunks.max(axis=1)
-    elif state=='Min':
-        trout.data = ychunks.min(axis=1)
-    elif state=='Mean':
-        trout.data = ychunks.mean(axis=1)
-    elif state=='Maxabs':
-        max_env=ychunks.max(axis=1)
-        min_env=ychunks.min(axis=1)
-        indeces=np.argmax(np.vstack([np.abs(max_env), np.abs(min_env)]),axis=0)
-        stack=np.vstack([max_env, min_env]).T
-        trout.data=np.array([stack[i][indeces[i]] for i in xrange(len(stack))])
-    xcenters = xchunks.mean(axis=1)
-    trout.stats.starttime=tr.stats.starttime+xcenters[0]/tr.stats.sampling_rate
-    trout.stats.sampling_rate=samp_rate
-    return trout
-

-
[docs]def triple_plot(cccsum, cccsum_hist, trace, threshold, save=False, savefile=''):
-    """
-    Main function to make a triple plot with a day-long seismogram, day-long
-    correlation sum trace and histogram of the correlation sum to show normality
-
-    :type cccsum: numpy.ndarray
-    :param cccsum: Array of the cross-channel cross-correlation sum
-    :type cccsum_hist: numpy.ndarray
-    :param ccsum_hist: cccsum for histogram plotting, can be the same as cccsum\
-                    but included if cccsum is just an envelope.
-    :type trace: obspy.Trace
-    :param trace: A sample trace from the same time as cccsum
-    :type threshold: float
-    :param threshold: Detection threshold within cccsum
-    :type save: Bool, optional
-    :param save: If True will svae and not plot to screen, vice-versa if False
-    :type savefile: String, optional
-    :param savefile: Path to save figure to, only required if save=True
-    """
-    if len(cccsum) != len(trace.data):
-        print 'cccsum is: '+str(len(cccsum))+' trace is: '+str(len(trace.data))
-        raise ValueError('cccsum and trace must have the same number of data points')
-    df = trace.stats.sampling_rate
-    npts = trace.stats.npts
-    t = np.arange(npts, dtype=np.float32) / (df * 3600)
-    # Generate the subplot for the seismic data
-    ax1 = plt.subplot2grid((2,5), (0,0), colspan=4)
-    ax1.plot(t, trace.data, 'k')
-    ax1.axis('tight')
-    ax1.set_ylim([-15 * np.mean(np.abs(trace.data)),15 * np.mean(np.abs(trace.data))])
-    # Generate the subplot for the correlation sum data
-    ax2 = plt.subplot2grid((2,5), (1,0), colspan=4, sharex=ax1)
-    # Plot the threshold values
-    ax2.plot([min(t), max(t)], [threshold, threshold], color='r', lw=1, label="Threshold")
-    ax2.plot([min(t), max(t)], [-threshold,-threshold], color='r', lw=1)
-    ax2.plot(t, cccsum, 'k')
-    ax2.axis('tight')
-    ax2.set_ylim([-1.7 * threshold, 1.7 * threshold])
-    ax2.set_xlabel("Time after %s [hr]" % trace.stats.starttime.isoformat())
-    # ax2.legend()
-    # Generate a small subplot for the histogram of the cccsum data
-    ax3 = plt.subplot2grid((2,5), (1,4), sharey=ax2)
-    ax3.hist(cccsum_hist, 200, normed=1, histtype='stepfilled', \
-             orientation='horizontal', color='black')
-    ax3.set_ylim([-5, 5])
-    fig=plt.gcf()
-    fig.suptitle(trace.id)
-    fig.canvas.draw()
-    if not save:
-        plt.show()
-        plt.close()
-    else:
-        plt.savefig(savefile)
-    return
-

-
[docs]def peaks_plot(data, starttime, samp_rate, save=False, peaks=[(0,0)], \
-               savefile=''):
-    """
-    Simple utility code to plot the correlation peaks to check that the peak
-    finding routine is running correctly, used in debugging for the EQcorrscan
-    module.
-
-    :type data: numpy.array
-    :param data: Numpy array of the data within which peaks have been found
-    :type starttime: obspy.UTCDateTime
-    :param starttime: Start time for the data
-    :type samp_rate: float
-    :param samp_rate: Sampling rate of data in Hz
-    :type save: Boolean, optional
-    :param save: Save figure or plot to screen (False)
-    :type peaks: List of Tuple, optional
-    :param peaks: List of peak locations and amplitudes (loc, amp)
-    :type savefile: String, optional
-    :param savefile: Path to save to, only used if save=True
-    """
-    npts=len(data)
-    t = np.arange(npts, dtype=np.float32) / (samp_rate * 3600)
-    fig=plt.figure()
-    ax1=fig.add_subplot(111)
-    ax1.plot(t, data, 'k')
-    ax1.scatter(peaks[0][1] / (samp_rate * 3600),abs(peaks[0][0]),color='r', label='Peaks')
-    for peak in peaks:
-        ax1.scatter(peak[1] / (samp_rate * 3600),abs(peak[0]),color='r')
-    ax1.legend()
-    ax1.set_xlabel("Time after %s [hr]" % starttime.isoformat())
-    ax1.axis('tight')
-    fig.suptitle('Peaks')
-    if not save:
-        plt.show()
-        plt.close()
-    else:
-        plt.savefig(savefile)
-    return
-

-
[docs]def cumulative_detections(dates, template_names, save=False, savefile=''):
-    """
-    Simple plotting function to take a list of datetime objects and plot
-    a cumulative detections list.  Can take dates as a list of lists and will
-    plot each list seperately, e.g. if you have dates from more than one
-    template it will overlay them in different colours.
-
-    :type dates: list of lists of datetime.datetime
-    :param dates: Must be a list of lists of datetime.datetime objects
-    :type template_names: list of strings
-    :param template_names: List of the template names in order of the dates
-    :type save: Boolean, optional
-    :param save: Save figure or show to screen
-    :type savefile: String, optional
-    :param savefile: String to save to.
-    """
-    # Set up a default series of parameters for lines
-    colors=['blue', 'green', 'red', 'cyan', 'magenta', 'yellow', 'black', \
-            'firebrick', 'purple', 'darkgoldenrod', 'gray']
-    linestyles=['-','-.', '--', ':']
-    # Check that dates is a list of lists
-    if type(dates[0]) != list:
-        dates=[dates]
-    i=0
-    j=0
-    k=0
-    plothandles=[]
-    for template_dates in dates:
-        template_dates.sort()
-        counts=np.arange(0,len(template_dates))
-        print str(i)+' '+str(j)+' '+str(k)
-        filename,=plt.plot(template_dates,counts, linestyles[j], \
-                           color=colors[i], label=template_names[k],\
-                           linewidth=3.0)
-        k+=1
-        plothandles.append(filename)
-        if i < len(colors)-1:
-            i+=1
-        else:
-            i=0
-            if j < len(linestyles)-1:
-                j+=1
-            else:
-                j=0
-    plt.xlabel('Date')
-    plt.ylabel('Cumulative detections')
-    plt.title('Cumulative detections for all templates')
-    plt.legend(loc=2,prop={'size':8},ncol=2)#handles=plothandles)
-    if save:
-        plt.savefig(savefile)
-        plt.close()
-    else:
-        plt.show()
-    return
-

-
[docs]def threeD_gridplot(nodes, save=False, savefile=''):
-    """
-    Function to plot in 3D a series of grid points.
-
-    :type nodes: List of tuples
-    :param nodes: List of tuples of the form (lat, long, depth)
-    :type save: bool
-    :param save: if True will save without plotting to screen, if False\
-        (default) will plot to screen but not save
-    :type savefile: str
-    :param savefile: required if save=True, path to save figure to.
-    """
-    lats=[]
-    longs=[]
-    depths=[]
-    for node in nodes:
-        lats.append(float(node[0]))
-        longs.append(float(node[1]))
-        depths.append(float(node[2]))
-    from mpl_toolkits.mplot3d import Axes3D
-    fig = plt.figure()
-    ax = fig.add_subplot(111, projection='3d')
-    ax.scatter(lats, longs, depths)
-    ax.set_ylabel("Latitude (deg)")
-    ax.set_xlabel("Longitude (deg)")
-    ax.set_zlabel("Depth(km)")
-    ax.get_xaxis().get_major_formatter().set_scientific(False)
-    ax.get_yaxis().get_major_formatter().set_scientific(False)
-    if not save:
-        plt.show()
-        plt.close()
-    else:
-        plt.savefig(savefile)
-    return
-

-
[docs]def multi_event_singlechan(streams, picks, clip=10.0, pre_pick=2.0,\
-                           freqmin=False, freqmax=False, realign=False, \
-                           cut=(-3.0,5.0), PWS=False, title=False):
-    """
-    Function to plot data from a single channel at a single station for multiple
-    events - data will be alligned by their pick-time given in the picks
-
-    :type streams: List of :class:obspy.stream
-    :param streams: List of the streams to use, can contain more traces than\
-        you plan on plotting
-    :type picks: List of :class:PICK
-    :param picks: List of picks, one for each stream
-    :type clip: float
-    :param clip: Length in seconds to plot, defaults to 10.0
-    :type pre_pick: Float
-    :param pre_pick: Length in seconds to extract and plot before the pick,\
-        defaults to 2.0
-    :type freqmin: float
-    :param freqmin: Low cut for bandpass in Hz
-    :type freqmax: float
-    :param freqmax: High cut for bandpass in Hz
-    :type realign: Bool
-    :param realign: To compute best alignement based on correlation or not.
-    :type cut: tuple:
-    :param cut: tuple of start and end times for cut in seconds from the pick
-    :type PWS: bool
-    :param PWS: compute Phase Weighted Stack, if False, will compute linear stack
-    :type title: str
-    :param title: Plot title.
-
-    :returns: Alligned and cut traces, and new picks
-    """
-    from eqcorrscan.utils import stacking
-    import copy
-    from eqcorrscan.core.match_filter import normxcorr2
-    from obspy import Stream
-    fig, axes = plt.subplots(len(picks)+1, 1, sharex=True, figsize=(7, 12))
-    axes = axes.ravel()
-    traces=[]
-    al_traces=[]
-    # Keep input safe
-    plist=copy.deepcopy(picks)
-    st_list=copy.deepcopy(streams)
-    for i, pick in enumerate(plist):
-        if st_list[i].select(station=pick.station, \
-            channel='*'+pick.channel[-1]):
-            tr=st_list[i].select(station=pick.station, \
-                channel='*'+pick.channel[-1])[0]
-        else:
-            print 'No data for '+pick.station+'.'+pick.channel
-            continue
-        tr.detrend('linear')
-        if freqmin:
-            tr.filter('bandpass', freqmin=freqmin, freqmax=freqmax)
-        if realign:
-            tr_cut=tr.copy()
-            tr_cut.trim(pick.time+cut[0], pick.time+cut[1],\
-                        nearest_sample=False)
-            if len(tr_cut.data)<=0.5*(cut[1]-cut[0])*tr_cut.stats.sampling_rate:
-                print 'Not enough in the trace for '+pick.station+'.'+pick.channel
-                print 'Suggest removing pick from sfile at time '+str(pick.time)
-            else:
-                al_traces.append(tr_cut)
-        else:
-            tr.trim(pick.time-pre_pick, pick.time+clip-pre_pick,\
-                    nearest_sample=False)
-        if len(tr.data)==0:
-            print 'No data in the trace for '+pick.station+'.'+pick.channel
-            print 'Suggest removing pick from sfile at time '+str(pick.time)
-            continue
-        traces.append(tr)
-    if realign:
-        shift_len=int(0.25 * (cut[1] - cut[0]) * al_traces[0].stats.sampling_rate)
-        shifts=stacking.align_traces(al_traces, shift_len)
-        for i in xrange(len(shifts)):
-            print 'Shifting by '+str(shifts[i])+' seconds'
-            pick.time-=shifts[i]
-            traces[i].trim(pick.time - pre_pick, pick.time + clip-pre_pick,\
-                           nearest_sample=False)
-    # We now have a list of traces
-    traces=[(trace, trace.stats.starttime.datetime) for trace in traces]
-    traces.sort(key=lambda tup:tup[1])
-    traces=[trace[0] for trace in traces]
-    # Plot the traces
-    for i, tr in enumerate(traces):
-        y = tr.data
-        x = np.arange(len(y))
-        x = x / tr.stats.sampling_rate # convert to seconds
-        axes[i+1].plot(x, y, 'k', linewidth=1.1)
-        # axes[i+1].set_ylabel(tr.stats.starttime.datetime.strftime('%Y/%m/%d %H:%M'),\
-                             # rotation=0)
-        axes[i+1].yaxis.set_ticks([])
-    traces=[Stream(trace) for trace in traces]
-    if PWS:
-        linstack=stacking.PWS_stack(traces)
-    else:
-        linstack=stacking.linstack(traces)
-    tr=linstack.select(station=picks[0].station, \
-            channel='*'+picks[0].channel[-1])[0]
-    y = tr.data
-    x = np.arange(len(y))
-    x = x / tr.stats.sampling_rate
-    axes[0].plot(x, y, 'r', linewidth=2.0)
-    axes[0].set_ylabel('Stack', rotation=0)
-    axes[0].yaxis.set_ticks([])
-    for i, slave in enumerate(traces):
-        cc=normxcorr2(tr.data, slave[0].data)
-        axes[i+1].set_ylabel('cc='+str(round(np.max(cc),2)), rotation=0)
-        axes[i+1].text(0.9, 0.15, str(round(np.max(slave[0].data))), \
-                       bbox=dict(facecolor='white', alpha=0.95),\
-                       transform=axes[i+1].transAxes)
-        axes[i+1].text(0.7, 0.85, slave[0].stats.starttime.datetime.strftime('%Y/%m/%d %H:%M:%S'), \
-                       bbox=dict(facecolor='white', alpha=0.95),\
-                       transform=axes[i+1].transAxes)
-    axes[-1].set_xlabel('Time (s)')
-    if title:
-        axes[0].set_title(title)
-    plt.subplots_adjust(hspace=0)
-    plt.show()
-    return traces, plist
-

-
[docs]def detection_multiplot(stream, template, times, streamcolour='k',\
-        templatecolour='r'):
-    """
-    Function to plot the stream of data that has been detected in, with the
-    template on top of it timed according to a list of given times, just a
-    pretty way to show a detection!
-
-    :type stream: obspy.Stream
-    :param stream: Stream of data to be plotted as the base (black)
-    :type template: obspy.Stream
-    :param template: Template to be plotted on top of the base stream (red)
-    :type times: List of datetime.datetime
-    :param times: list of times of detections in the order of the channels in
-                template.
-    :type streamcolour: str
-    :param streamcolour: String of matplotlib colour types for the stream
-    :type templatecolour: str
-    :param templatecolour: Colour to plot the template in.
-    """
-    import datetime as dt
-    fig, axes = plt.subplots(len(template), 1, sharex=True)
-    axes = axes.ravel()
-    print 'Template has '+str(len(template))+' channels'
-    for i, template_tr in enumerate(template):
-        print 'Working on: '+template_tr.stats.station+' '+\
-                template_tr.stats.channel
-        image=stream.select(station=template_tr.stats.station,\
-                            channel='*'+template_tr.stats.channel[-1])
-        if not image:
-            print 'No data for '+template_tr.stats.station+' '+\
-                    template_tr.stats.channel
-            continue
-        image=image.merge()[0]
-        t_start=(times[i]-image.stats.starttime.datetime) # Gives a timedelta
-        print t_start
-        # Downsample if needed
-        if image.stats.sampling_rate > 20:
-            image.decimate(int(image.stats.sampling_rate/20))
-        if template_tr.stats.sampling_rate > 20:
-            template_tr.decimate(int(template_tr.stats.sampling_rate/20))
-        image_times=[image.stats.starttime.datetime+dt.timedelta((j*image.stats.delta)/86400)\
-                for j in range(len(image.data))] # Give list of datetime objects
-        t_start=t_start+image.stats.starttime.datetime
-        template_times=[t_start+dt.timedelta((j*template_tr.stats.delta)/86400)\
-                for j in range(len(template_tr.data))]
-        print image_times[0]
-        print template_times[0]
-        axes[i].plot(image_times, image.data,'k')
-        axes[i].plot(template_times, template_tr.data,'r')
-        axes[i].set_ylabel(template_tr.stats.station+'.'+template_tr.stats.channel)
-    axes[len(axes)-1].set_xlabel('Time')
-    plt.show()
-    return
-

-
[docs]def interev_mag_sfiles(sfiles):
-    """
-    Function to plot interevent-time versus magnitude for series of events.
-    Wrapper for interev_mag.
-
-    :type sfiles: List
-    :param sfiles: List of sfiles to read from
-    """
-    from eqcorrscan.utils import Sfile_util
-    times=[Sfile_util.readheader(sfile).time for sfile in sfiles]
-    mags=[Sfile_util.readheader(sfile).Mag_1 for sfile in sfiles]
-    interev_mag(times, mags)
-

-
[docs]def interev_mag(times, mags):
-    """
-    Function to plot interevent times against magnitude for given times
-    and magnitudes.
-
-    :type times: list of datetime
-    :param times: list of the detection times, must be sorted the same as mags
-    :type mags: list of float
-    :param mags: list of magnitudes
-    """
-    l = [(times[i], mags[i]) for i in xrange(len(times))]
-    l.sort(key=lambda tup:tup[0])
-    times=[x[0] for x in l]
-    mags=[x[1] for x in l]
-    # Make two subplots next to each other of time before and time after
-    fig, axes = plt.subplots(1,2, sharey=True)
-    axes = axes.ravel()
-    pre_times=[]
-    post_times=[]
-    for i in range(len(times)):
-        if i > 0:
-            pre_times.append((times[i]-times[i-1])/60)
-        if i < len(times)-1:
-            post_times.append((times[i+1]-times[i])/60)
-    axes[0].scatter(pre_times, mags[1:])
-    axes[0].set_title('Pre-event times')
-    axes[0].set_ylabel('Magnitude')
-    axes[0].set_xlabel('Time (Minutes)')
-    # axes[0].set_xlim([0, max(pre_times)+(0.1*(max(pre_times)-min(pre_times)))])
-    plt.setp(axes[0].xaxis.get_majorticklabels(), rotation=30 )
-    axes[1].scatter(pre_times, mags[:-1])
-    axes[1].set_title('Post-event times')
-    axes[1].set_xlabel('Time (Minutes)')
-    # axes[1].set_xlim([0, max(post_times)+(0.1*(max(post_times)-min(post_times)))])
-    plt.setp(axes[1].xaxis.get_majorticklabels(), rotation=30 )
-    plt.show()
-

-
[docs]def threeD_seismplot(stations, nodes):
-    """
-    Function to plot seismicity and stations in a 3D, movable, zoomable space
-    using matplotlibs Axes3D package.
-
-    :type stations: list of tuple
-    :param stations: list of one tuple per station of (lat, long, elevation),
-                    with up positive
-    :type nodes: list of tuple
-    :param nodes: list of one tuple per event of (lat, long, depth) with down
-                positive
-    """
-    stalats=[]
-    stalongs=[]
-    staelevs=[]
-    evlats=[]
-    evlongs=[]
-    evdepths=[]
-    for station in stations:
-        stalats+=[station[0]]
-        stalongs+=[station[1]]
-        staelevs+=[station[2]]
-    for node in nodes:
-        evlats+=[node[0]]
-        evlongs+=[node[1]]
-        evdepths+=[-1*node[2]]
-    from mpl_toolkits.mplot3d import Axes3D
-    fig = plt.figure()
-    ax = fig.add_subplot(111, projection='3d')
-    ax.scatter(evlats, evlongs, evdepths, marker="x", c="k")
-    ax.scatter(stalats, stalongs, staelevs, marker="v", c="r")
-    ax.set_ylabel("Latitude (deg)")
-    ax.set_xlabel("Longitude (deg)")
-    ax.set_zlabel("Depth(km)")
-    ax.get_xaxis().get_major_formatter().set_scientific(False)
-    ax.get_yaxis().get_major_formatter().set_scientific(False)
-    plt.show()
-    return
-

-
[docs]def Noise_plotting(station, channel, PAZ, datasource):
-    """
-    Function to make use of obspy's PPSD functionality to read in data from
-    a single station and the poles-and-zeros for that station before plotting
-    the PPSD for this station.  See McNamara(2004) for more details.
-
-    :type station: String
-    :param station: Station name as it is in the filenames in the database
-    :type channel: String
-    :param channel: Channel name as it is in the filenames in the database
-    :type PAZ: Dict
-    :param PAZ: Must contain, Poles, Zeros, Sensitivity, Gain
-        :type Poles: List of Complex
-        :type Zeros: List of Complex
-        :type Sensitivity: Float
-        :type Gain: Float
-    :type datasource: String
-    :param datasource: The directory in which data can be found, can contain
-                        wildcards.
-
-    :returns: PPSD object
-    """
-    from obspy.signal import PPSD
-    from obspy import read as obsread
-    import glob
-
-    stafiles=glob.glob(datasource+'/*'+station+'*'+channel+'*')
-    stafiles.sort()
-    # Initialize PPSD
-    st=obsread(stafiles[0])
-    ppsd = PPSD(st[0].stats, PAZ)
-    for stafile in stafiles[1:]:
-        print 'Adding waveform from: '+stafile
-        st=obsread(stafile)
-        # Add after read to conserve memory
-        ppsd.add(st)
-    # Plot the PPSD
-    ppsd.plot()
-    return ppsd
-

-
[docs]def pretty_template_plot(template, size=(18.5, 10.5), save=False, title=False,\
-                        background=False):
-    """
-    Function to make a pretty plot of a single template, designed to work better
-    than the default obspy plotting routine for short data lengths.
-
-    :type template: :class: obspy.Stream
-    :param template: Template stream to plot
-    :type size: tuple
-    :param size: tuple of plot size
-    :type save: Boolean
-    :param save: if False will plot to screen, if True will save
-    :type title: Boolean
-    :param title: String if set will be the plot title
-    :type backrgound: :class: obspy.stream
-    :param background: Stream to plot the template within.
-    """
-    fig, axes = plt.subplots(len(template), 1, sharex=True, figsize=size)
-    if len(template) > 1:
-        axes = axes.ravel()
-    else:
-        return
-    if not background:
-        mintime=template.sort(['starttime'])[0].stats.starttime
-    else:
-        mintime=background.sort(['starttime'])[0].stats.starttime
-    template.sort(['network','station', 'starttime'])
-    for i, tr in enumerate(template):
-        delay=tr.stats.starttime-mintime
-        delay*=tr.stats.sampling_rate
-        y=tr.data
-        x=np.arange(len(y))
-        x+=delay
-        x=x/tr.stats.sampling_rate
-        # x=np.arange(delay, (len(y)*tr.stats.sampling_rate)+delay,\
-            # tr.stats.sampling_rate)
-        if background:
-            btr=background.select(station=tr.stats.station, \
-                                channel=tr.stats.channel)[0]
-            bdelay=btr.stats.starttime-mintime
-            bdelay*=btr.stats.sampling_rate
-            by=btr.data
-            bx=np.arange(len(by))
-            bx+=bdelay
-            bx=bx/btr.stats.sampling_rate
-            axes[i].plot(bx,by,'k',linewidth=1)
-            axes[i].plot(x, y, 'r', linewidth=1.1)
-        else:
-            axes[i].plot(x, y, 'k', linewidth=1.1)
-        print tr.stats.station+' '+str(len(x))+' '+str(len(y))
-        axes[i].set_ylabel(tr.stats.station+'.'+tr.stats.channel, rotation=0)
-        axes[i].yaxis.set_ticks([])
-    axes[i-1].set_xlabel('Time (s) from start of template')
-    plt.subplots_adjust(hspace=0)
-    if title:
-        axes[0].set_title(title)
-    if not save:
-        plt.show()
-        plt.close()
-    else:
-        plt.savefig(save)
-

-
[docs]def NR_plot(stream, NR_stream, detections, false_detections=False,\
-            size=(18.5,10), save=False, title=False):
-    """
-    Function to plot the Network response alongside the streams used - highlights
-    detection times in the network response
-
-    :type stream: :class: obspy.Stream
-    :param stream: Stream to plot
-    :type NR_stream: :class: obspy.Stream
-    :param NR_stream: Stream for the network response
-    :type detections: List of datetime objects
-    :param detections: List of the detections
-    :type false_detections: List of datetime
-    :param false_detections: Either False (default) or list of false detection\
-     times
-    :type size: tuple
-    :param size: Size of figure, default is (18.5,10)
-    :type save: bool
-    :param save: Save figure or plot to screen, if not False, must be string of\
-        save path
-    :type title: str
-    :param title: String for the title of the plot, set to False
-    """
-    import datetime as dt
-    import matplotlib.dates as mdates
-    fig, axes = plt.subplots(len(stream)+1, 1, sharex=True, figsize=size)
-    if len(stream) > 1:
-        axes = axes.ravel()
-    else:
-        return
-    mintime=stream.sort(['starttime'])[0].stats.starttime
-    stream.sort(['network','station', 'starttime'])
-    for i, tr in enumerate(stream):
-        delay=tr.stats.starttime-mintime
-        delay*=tr.stats.sampling_rate
-        y=tr.data
-        x=[tr.stats.starttime + dt.timedelta(seconds=s/tr.stats.sampling_rate)\
-           for s in xrange(len(y))]
-        x=mdates.date2num(x)
-        axes[i].plot(x, y, 'k', linewidth=1.1)
-        axes[i].set_ylabel(tr.stats.station+'.'+tr.stats.channel, rotation=0)
-        axes[i].yaxis.set_ticks([])
-        axes[i].set_xlim(x[0], x[-1])
-    # Plot the network response
-    tr=NR_stream[0]
-    delay=tr.stats.starttime-mintime
-    delay*=tr.stats.sampling_rate
-    y=tr.data
-    x=[tr.stats.starttime + dt.timedelta(seconds=s/tr.stats.sampling_rate)\
-        for s in range(len(y))]
-    x=mdates.date2num(x)
-    axes[i].plot(x, y, 'k', linewidth=1.1)
-    axes[i].set_ylabel(tr.stats.station+'.'+tr.stats.channel, rotation=0)
-    axes[i].yaxis.set_ticks([])
-    axes[-1].set_xlabel('Time')
-    axes[-1].set_xlim(x[0], x[-1])
-    # Plot the detections!
-    ymin, ymax = axes[-1].get_ylim()
-    if false_detections:
-        for detection in false_detections:
-            xd=mdates.date2num(detection)
-            axes[-1].plot((xd, xd), (ymin, ymax), 'k--', linewidth=0.5, alpha=0.5)
-    for detection in detections:
-        xd=mdates.date2num(detection)
-        axes[-1].plot((xd, xd), (ymin, ymax), 'r--', linewidth=0.75)
-    # Set formatters for x-labels
-    mins=mdates.MinuteLocator()
-    if (tr.stats.endtime.datetime-tr.stats.starttime.datetime).total_seconds() >= 10800\
-       and (tr.stats.endtime.datetime-tr.stats.starttime.datetime).total_seconds() <= 25200:
-        hours=mdates.MinuteLocator(byminute=[0,15,30,45])
-    elif(tr.stats.endtime.datetime-tr.stats.starttime.datetime).total_seconds() <= 1200:
-        hours=mdates.MinuteLocator(byminute=range(0,60,2))
-    elif (tr.stats.endtime.datetime-tr.stats.starttime.datetime).total_seconds() > 25200\
-        and (tr.stats.endtime.datetime-tr.stats.starttime.datetime).total_seconds() <= 172800:
-        hours=mdates.HourLocator(byhour=range(0,24,3))
-    elif (tr.stats.endtime.datetime-tr.stats.starttime.datetime).total_seconds() > 172800:
-        hours=mdates.DayLocator()
-    else:
-        hours=mdates.MinuteLocator(byminute=range(0,60,5))
-    hrFMT=mdates.DateFormatter('%Y/%m/%d %H:%M:%S')
-    axes[-1].xaxis.set_major_locator(hours)
-    axes[-1].xaxis.set_major_formatter(hrFMT)
-    axes[-1].xaxis.set_minor_locator(mins)
-    plt.gcf().autofmt_xdate()
-    axes[-1].fmt_xdata=mdates.DateFormatter('%Y/%m/%d %H:%M:%S')
-    plt.subplots_adjust(hspace=0)
-    if title:
-        axes[0].set_title(title)
-    if not save:
-        plt.show()
-        plt.close()
-    else:
-        plt.savefig(save)
-    return
-

-
[docs]def SVD_plot(SVStreams, SValues, stachans, title=False):
-    """
-    Function to plot the singular vectors from the clustering routines, one
-    plot for each stachan
-
-    :type SVStreams: List of :class:Obspy.Stream
-    :param SVStreams: See clustering.SVD_2_Stream - will assume these are\
-            ordered by power, e.g. first singular vector in the first stream
-    :type SValues: List of float
-    :param SValues: List of the singular values corresponding to the SVStreams
-    :type stachans: List
-    :param stachans: List of station.channel
-    """
-    for stachan in stachans:
-        print stachan
-        plot_traces=[SVStream.select(station=stachan.split('.')[0],\
-                                     channel=stachan.split('.')[1])[0]\
-                     for SVStream in SVStreams]
-        fig, axes = plt.subplots(len(plot_traces), 1, sharex=True)
-        axes = axes.ravel()
-        for i, tr in enumerate(plot_traces):
-            y = tr.data
-            x = np.arange(len(y))
-            x = x*tr.stats.delta
-            axes[i].plot(x,y,'k', linewidth=1.1)
-            axes[i].set_ylabel('SV '+str(i+1)+'='+\
-                str(round(SValues[i]/len(SValues),2)), rotation=0)
-            axes[i].yaxis.set_ticks([])
-            print i
-        axes[-1].set_xlabel('Time (s)')
-        plt.subplots_adjust(hspace=0)
-        if title:
-            axes[0].set_title(title)
-        else:
-            axes[0].set_title(stachan)
-        plt.show()
-    return
-

-
[docs]def plot_synth_real(real_template, synthetic, channels=False):
-    """
-    Plot multiple channels of data for real data and synthetic
-
-    :type real_template: obspy.Stream
-    :param real_template: Stream of the real template
-    :type synthetic: obspy.Stream
-    :param synthetic: Stream of synthetic template
-    :type channels: List of str
-    :param channels: List of tuples of (station, channel) to plot, default is\
-            False, which plots all.
-    """
-    from obspy.signal.cross_correlation import xcorr
-    from obspy import Stream
-    colours=['k', 'r']
-    labels=['Real', 'Synthetic']
-    if channels:
-        real=[]
-        synth=[]
-        for stachan in channels:
-            real.append(real_template.select(station=stachan[0],\
-                                             channel=stachan[1]))
-            synth.append(synthetic.select(station=stachan[0],\
-                                          channel=stachan[1]))
-        real_template=Stream(real)
-        synthetic=Stream(synth)
-
-    # Extract the station and channels
-    stachans = list(set([(tr.stats.station, tr.stats.channel)\
-                         for tr in real_stream]))
-    fig, axes = plt.subplots(len(stachans), 1, sharex=True, figsize=(5,10))
-    axes=axes.ravel()
-    for i, stachan in enumerate(stachans):
-        real_tr=real_template.select(station=stachan[0],\
-                                     channel=stachan[1])[0]
-        synth_tr=synthetic.select(station=stachan[0],\
-                                           channel=stachan[1])[0]
-        shift, corr = xcorr(real_tr, synth_tr, 2)
-        print 'Shifting by: '+str(shift)+' samples'
-        if corr < 0:
-            synth_tr.data = synth_tr.data * -1
-            corr = corr * -1
-        if shift < 0:
-            synth_tr.data = synth_tr.data[abs(shift):]
-            real_tr.data = real_tr.data[0:len(synth_tr.data)]
-        elif shift > 0:
-            real_tr.data = real_tr.data[abs(shift):]
-            synth_tr.data = synth_tr.data[0:len(real_tr.data)]
-        for j, tr in enumerate([real_tr, synth_tr]):
-            y = tr.data
-            y = y / float(max(abs(y)))
-            x = np.arange(0, len(y))
-            x = x / tr.stats.sampling_rate
-            axes[i].plot(x, y, colours[j], linewidth=2.0, label=labels[j])
-            axes[i].get_yaxis().set_ticks([])
-        axes[i].set_ylabel(stachan[0]+'.'+stachan[1]+' cc='+str(round(corr,2)),\
-                           rotation=0)
-    plt.subplots_adjust(hspace=0)
-    # axes[0].legend()
-    axes[-1].set_xlabel('Time (s)')
-    plt.show()

-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/Sfile_util.html b/_modules/Sfile_util.html deleted file mode 100644 index 5c0d51920..000000000 --- a/_modules/Sfile_util.html +++ /dev/null @@ -1,872 +0,0 @@ - - - - - - - - - - Sfile_util — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for Sfile_util

-#!/usr/bin/python
-"""
-Part of the EQcorrscan module to read nordic format s-files and write them
-EQcorrscan is a python module designed to run match filter routines for
-seismology, within it are routines for integration to seisan and obspy.
-With obspy integration (which is necessary) all main waveform formats can be
-read in and output.
-
-Code generated by Calum John Chamberlain of Victoria University of Wellington,
-2015.
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-
-
-from obspy import UTCDateTime
-import numpy as np
-
-
[docs]class PICK:
-    """
-    Pick information for seisan implimentation, note all fields can be left\
-    blank to obtain a default pick: picks have a print function which will\
-    print them as they would be seen in an S-file.
-
-    Attributes:
-        :type station: str
-        :param station: Station name, less than five charectars required as\
-         standard
-        :type channel: str
-        :param channel: Two or three charactar channel name, stored as two\
-            charactars in S-file
-        :type impulsivity: str
-        :param impulsivity: either 'C' or 'D' for compressive and dilatational
-        :type phase: str
-        :param phase: Any allowable phase name in two characters
-        :type weight: int
-        :param weight: 0-4 with 0=100%, 4=0%, use weight=9 for unknown timing
-        :type polarity: str
-        :type time: obspy.UTCDateTime()
-        :param time: Pick time as an obspy.UTCDateTime object
-        :type coda: int
-        :param coda: Length of coda in seconds
-        :type amplitude: float
-        :param amplitude: Amplitude (zero-peak), type is given in phase
-        :type peri: float
-        :param peri: Period of amplitude
-        :type azimuth: float
-        :param azimuth: Direction of approach in degrees
-        :type velocity: float
-        :param velocity: Phase velocity (km/s)
-        :type AIN: int
-        :param AIN: Angle of incidence.
-        :type SNR: float
-        :param SNR: Signal to noise ratio
-        :type azimuthres: int
-        :param azimuthres: Residual azimuth
-        :type timeres: float
-        :param timeres: Time residual in seconds
-        :type finalweight: int
-        :param finalweight: Final weight used in location
-        :type distance: float
-        :param distance: Source-reciever distance in km
-        :type CAZ: int
-        :param CAZ: Azimuth at source.
-    """
-    pickcount=0
-    def __init__(self, station=' ', channel=' ', impulsivity=' ', phase=' ',
-                 weight=999, polarity=' ', time=UTCDateTime(0),
-                 coda=999, amplitude=float('NaN'),
-                 peri=float('NaN'), azimuth=float('NaN'),
-                 velocity=float('NaN'), AIN=999, SNR=float('NaN'),
-                 azimuthres=999, timeres=float('NaN'),
-                 finalweight=999, distance=float('NaN'),
-                 CAZ=999):
-        self.station=station
-        self.channel=channel
-        self.impulsivity=impulsivity
-        self.phase=phase
-        self.weight=weight
-        self.polarity=polarity
-        self.time=time
-        self.coda=coda
-        self.amplitude=amplitude
-        self.peri=peri
-        self.azimuth=azimuth
-        self.velocity=velocity
-        self.AIN=AIN
-        self.SNR=SNR
-        self.azimuthres=azimuthres
-        self.timeres=timeres
-        self.finalweight=finalweight
-        self.distance=distance
-        self.CAZ=CAZ
-        self.pickcount+=1
-    def __repr__(self):
-        return "PICK()"
-    def __str__(self):
-        if self.distance >= 100.0:
-            self.distance=_int_conv(self.distance)
-        elif self.distance < 100.0:
-            self.distance=int(round(self.distance,1))
-        if not self.AIN=='':
-            if not np.isnan(self.AIN):
-                dummy=int(self.AIN)
-            else:
-                dummy=self.AIN
-        else:
-            dummy=self.SNR
-        print_str=' '+self.station.ljust(5)+\
-                self.channel[0]+self.channel[len(self.channel)-1]+\
-                ' '+self.impulsivity+\
-                self.phase.ljust(4)+\
-                _str_conv(self.weight).rjust(1)+' '+\
-                self.polarity.rjust(1)+' '+\
-                str(self.time.hour).rjust(2)+\
-                str(self.time.minute).rjust(2)+\
-                str(self.time.second).rjust(3)+'.'+\
-                str(float(self.time.microsecond)/(10**4)).split('.')[0].zfill(2)+\
-                _str_conv(int(self.coda)).rjust(5)[0:5]+\
-                _str_conv(round(self.amplitude,1)).rjust(7)[0:7]+\
-                _str_conv(self.peri).rjust(5)+\
-                _str_conv(self.azimuth).rjust(6)+\
-                _str_conv(self.velocity).rjust(5)+\
-                _str_conv(dummy).rjust(4)+\
-                _str_conv(int(self.azimuthres)).rjust(3)+\
-                _str_conv(self.timeres, rounded=2).rjust(5)+\
-                _str_conv(int(self.finalweight)).rjust(2)+\
-                _str_conv(self.distance).rjust(5)+\
-                _str_conv(int(self.CAZ)).rjust(4)
-        return print_str
-
[docs]    def write(self, filename):
-        """
-        Public function to write the pick to a file
-
-        :type filename: str
-        :param filename: Path to file to write to - will append to file
-        """
-        import os
-        import warnings
-        if os.path.isfile(filename):
-            open_as='a'
-        else:
-            warnings.warn('File does not exist, no header')
-            open_as='w'
-
-        with open(filename,open_as) as f:
-            pickstr=self.__str__()
-            f.write(pickstr+'\n')
-        return
-
-

-
[docs]class EVENTINFO:
-    """
-    Header information for seisan events, again all fields can be left blank for\
-    a default empty header.  The print function for header will print important\
-    information, but not as seen in an S-file.
-
-    For more information on parameters see the seisan manual.
-
-    Attributes:
-        :type time: obspy.UTCDateTime
-        :param time: Event origin time
-        :type loc_mod_ind: str
-        :param loc_mod_ind:
-        :type dist_ind: str
-        :param dist_ind: Distance flag, usually 'L' for local, 'R' for regional\
-            and 'D' for distant
-        :type ev_id: str
-        :param ev_id: Often blank, 'E' denotes explosion and fixes depth to 0km
-        :type latitude: float
-        :param latitude: Hypocentre latitude in decimal degrees
-        :type longitude: float
-        :param lognitude: Hypocentre longitude in decimal degrees
-        :type depth: float
-        :param depth: hypocentre depth in km
-        :type depth_ind: str
-        :param depth_ind:
-        :type loc_ind: str
-        :param loc_ind:
-        :type agency: str
-        :param agency: Reporting agency, three letters
-        :type nsta: int
-        :param nsta: Number of stations recording
-        :type t_RMS: float
-        :param t_RMS: Root-mean-squared time residual
-        :type Mag_1: float
-        :param Mag_1: first magnitude
-        :type Mag_1_type: str
-        :param Mag_1_type: Type of magnitude for Mag_1 ('L', 'C', 'W')
-        :type Mag_1_agency: str
-        :param Mag_1_agency: Reporting agency for Mag_1
-        :type Mag_2: float
-        :param Mag_2: second magnitude
-        :type Mag_2_type: str
-        :param Mag_2_type: Type of magnitude for Mag_2 ('L', 'C', 'W')
-        :type Mag_2_agency: str
-        :param Mag_2_agency: Reporting agency for Mag_2
-        :type Mag_3: float
-        :param Mag_3: third magnitude
-        :type Mag_3_type: str
-        :param Mag_3_type: Type of magnitude for Mag_3 ('L', 'C', 'W')
-        :type Mag_3_agency: str
-        :param Mag_3_agency: Reporting agency for Mag_3
-    """
-    def __init__(self, time=UTCDateTime(0), loc_mod_ind=' ', dist_ind=' ',
-                 ev_id=' ', latitude=float('NaN'), longitude=float('NaN'),
-                 depth=float('NaN'), depth_ind=' ', loc_ind=' ', agency=' ',
-                 nsta=0, t_RMS=float('NaN'), Mag_1=float('NaN'),
-                 Mag_1_type=' ', Mag_1_agency=' ', Mag_2=float('NaN'),
-                 Mag_2_type=' ', Mag_2_agency=' ', Mag_3=float('NaN'),
-                 Mag_3_type=' ', Mag_3_agency=' '):
-        self.time=time
-        self.loc_mod_ind=loc_mod_ind
-        self.dist_ind=dist_ind
-        self.ev_id=ev_id
-        self.latitude=latitude
-        self.longitude=longitude
-        self.depth=depth
-        self.depth_ind=depth_ind
-        self.loc_ind=loc_ind
-        self.agency=agency
-        self.nsta=nsta
-        self.t_RMS=t_RMS
-        self.Mag_1=Mag_1
-        self.Mag_1_type=Mag_1_type
-        self.Mag_1_agency=Mag_1_agency
-        self.Mag_2=Mag_2
-        self.Mag_2_type=Mag_2_type
-        self.Mag_2_agency=Mag_2_agency
-        self.Mag_3=Mag_3
-        self.Mag_3_type=Mag_3_type
-        self.Mag_3_agency=Mag_3_agency
-    def __repr__(self):
-        return "HEADER()"
-    def __str__(self):
-        print_str=str(self.time)+' '+str(self.latitude)+','+str(self.longitude)\
-        +' '+str(self.depth)+' '+self.Mag_1_type+':'+str(self.Mag_1)+\
-        self.Mag_2_type+':'+str(self.Mag_2)+\
-        self.Mag_3_type+':'+str(self.Mag_3)+'  '+self.agency
-        return print_str
-

-
[docs]def _int_conv(string):
-    """
-    Convenience tool to convert from string to integer, if empty string return
-    a 999 rather than an error
-    """
-    try:
-        intstring=int(string)
-    except:
-        intstring=999
-    return intstring
-

-
[docs]def _float_conv(string):
-    """
-    Convenience tool to convert from string to float, if empty string return
-    NaN rather than an error
-    """
-    try:
-        floatstring=float(string)
-    except:
-        floatstring=float('NaN')
-    return floatstring
-

-
[docs]def _str_conv(number, rounded=False):
-    """
-    Convenience tool to convert a number, either float or into into a string,
-    if the int is 999, or the float is NaN, returns empty string.
-    """
-    if (type(number)==float and np.isnan(number)) or number==999:
-        string=' '
-    elif type(number)==str:
-        return number
-    elif not rounded:
-        string=str(number)
-    elif rounded==2:
-        string='{0:.2f}'.format(number)
-    return string
-

-
[docs]def readheader(sfilename):
-    """
-    Fucntion to read the header information from a seisan nordic format S-file.
-
-    :type sfilename: str
-    :param sfilename: Path to the s-file
-
-    :returns: :class: EVENTINFO
-    """
-    import warnings
-    f=open(sfilename,'r')
-    # Base populate to allow for empty parts of file
-    sfilename_header=EVENTINFO()
-    topline=f.readline()
-    if topline[79]==' ' or topline[79]=='1':
-        # Topline contains event information
-        try:
-            sfile_seconds=int(topline[16:18])
-            if sfile_seconds==60:
-                sfile_seconds=0
-                add_seconds=60
-            else:
-                add_seconds=0
-            sfilename_header.time=UTCDateTime(int(topline[1:5]),int(topline[6:8]),
-                                        int(topline[8:10]),int(topline[11:13]),
-                                        int(topline[13:15]),sfile_seconds
-                                        ,int(topline[19:20])*100000)+add_seconds
-        except:
-            warnings.warn("Couldn't read a date from sfile: "+sfilename)
-            sfilename_header.time=UTCDateTime(0)
-        sfilename_header.loc_mod_ind=topline[20]
-        sfilename_header.dist_ind=topline[21]
-        sfilename_header.ev_id=topline[22]
-        sfilename_header.latitude=_float_conv(topline[23:30])
-        sfilename_header.longitude=_float_conv(topline[31:38])
-        sfilename_header.depth=_float_conv(topline[39:43])
-        sfilename_header.depth_ind=topline[44]
-        sfilename_header.loc_ind=topline[45]
-        sfilename_header.agency=topline[46:48].strip()
-        sfilename_header.nsta=_int_conv(topline[49:51])
-        sfilename_header.t_RMS=_float_conv(topline[52:55])
-        sfilename_header.Mag_1=_float_conv(topline[56:59])
-        sfilename_header.Mag_1_type=topline[59]
-        sfilename_header.Mag_1_agency=topline[60:63].strip()
-        sfilename_header.Mag_2=_float_conv(topline[64:67])
-        sfilename_header.Mag_2_type=topline[67]
-        sfilename_header.Mag_2_agency=topline[68:71].strip()
-        sfilename_header.Mag_3=_float_conv(topline[72:75])
-        sfilename_header.Mag_3_type=topline[75].strip()
-        sfilename_header.Mag_3_agency=topline[76:79].strip()
-    else:
-        for line in f:
-            if line[79]=='1':
-                line=topline
-                try:
-                    sfilename_header.time=UTCDateTime(int(topline[1:5]),int(topline[6:8]),
-                                                int(topline[8:10]),int(topline[11:13]),
-                                                int(topline[13:15]),int(topline[16:18])
-                                                ,int(topline[19:20])*10)
-                except:
-                    sfilename_header.time=UTCDateTime(0)
-                sfilename_header.loc_mod_ind=topline[21]
-                sfilename_header.dist_ind=topline[22]
-                sfilename_header.ev_id=topline[23]
-                sfilename_header.latitude=_float_conv(topline[24:30])
-                sfilename_header.longitude=_float_conv(topline[31:38])
-                sfilename_header.depth=_float_conv(topline[39:43])
-                sfilename_header.depth_ind=topline[44]
-                sfilename_header.loc_ind=topline[45]
-                sfilename_header.agency=topline[46:48].strip()
-                sfilename_header.nsta=_int_conv(topline[49:51])
-                sfilename_header.t_RMS=_float_conv(topline[52:55])
-                sfilename_header.Mag_1=_float_conv(topline[56:59])
-                sfilename_header.Mag_1_type=topline[60]
-                sfilename_header.Mag_1_agency=topline[61:63].strip()
-                sfilename_header.Mag_2=_float_conv(topline[64:67])
-                sfilename_header.Mag_2_type=topline[68]
-                sfilename_header.Mag_2_agency=topline[69:71].strip()
-                sfilename_header.Mag_3=_float_conv(topline[72:75])
-                sfilename_header.Mag_3_type=topline[76].strip()
-                sfilename_header.Mag_3_agency=topline[77:79].strip()
-            if line[79]=='7':
-                break
-    f.close()
-    return sfilename_header
-

-
[docs]def readpicks(sfilename):
-    """
-    Function to read pick information from the s-file
-
-    :type sfilename: String
-    :param sfilename: Path to sfile
-
-    :return: List of :class: PICK
-    """
-    # First we need to read the header to get the timing info
-    sfilename_header=readheader(sfilename)
-    evtime=sfilename_header.time
-    f=open(sfilename,'r')
-    pickline=[]
-    lineno=0
-    if 'headerend' in locals():
-        del headerend
-    for line in f:
-        if 'headerend' in locals():
-            if len(line.rstrip('\n').rstrip('\r')) in [80,79] and \
-               (line[79]==' ' or line[79]=='4' or line [79]=='\n'):
-                pickline+=[line]
-        elif line[79]=='7':
-            header=line
-            headerend=lineno
-        lineno+=1
-    picks=[]
-    for line in pickline:
-        if line[18:28].strip()=='': # If line is empty miss it
-            continue
-        station=line[1:6].strip()
-        channel=line[6:8].strip()
-        impulsivity=line[9]
-        weight=line[14]
-        if weight=='_':
-            phase=line[10:17]
-            weight=''
-            polarity=''
-        else:
-            phase=line[10:14].strip()
-            polarity=line[16]
-        try:
-            time=UTCDateTime(evtime.year,evtime.month,evtime.day,
-                             int(line[18:20]),int(line[20:22]),int(line[23:25]),
-                             int(line[26:28])*10000)
-        except (ValueError):
-            time=UTCDateTime(evtime.year,evtime.month,evtime.day,
-                             int(line[18:20]),int(line[20:22]),0,0)
-            time+=60 # Add 60 seconds on to the time, this copes with s-file
-        coda=_int_conv(line[28:33])
-        amplitude=_float_conv(line[34:40])
-        peri=_float_conv(line[41:45])
-        azimuth=_float_conv(line[46:51])
-        velocity=_float_conv(line[52:56])
-        if header[57:60]=='AIN':
-            SNR=''
-            AIN=_float_conv(line[57:60])
-        elif header[57:60]=='SNR':
-            AIN=''
-            SNR=_float_conv(line[57:60])
-        azimuthres=_int_conv(line[60:63])
-        timeres=_float_conv(line[63:68])
-        finalweight=_int_conv(line[68:70])
-        distance=_float_conv(line[70:75])
-        CAZ=_int_conv(line[76:79])
-        picks+=[PICK(station, channel, impulsivity, phase, weight, polarity,
-                 time, coda, amplitude, peri, azimuth, velocity, AIN, SNR,
-                 azimuthres, timeres, finalweight, distance, CAZ)]
-    f.close()
-    return picks
-

-
[docs]def readwavename(sfilename):
-    """
-    Convenience function to extract the waveform filename from the s-file,
-    returns a list of waveform names found in the s-file as multiples can
-    be present.
-
-    :type sfilename: str
-    :param sfilename: Path to the sfile
-
-    :returns: List of str
-    """
-    f=open(sfilename)
-    wavename=[]
-    for line in f:
-        if len(line)==81 and line[79]=='6':
-            wavename.append(line[1:79].strip())
-    f.close()
-    return wavename
-

-
[docs]def blanksfile(wavefile,evtype,userID,outdir,overwrite=False, evtime=False):
-    """
-    Module to generate an empty s-file with a populated header for a given
-    waveform.
-
-    :type wavefile: String
-    :param wavefile: Wavefile to associate with this S-file, the timing of the
-                    S-file will be taken from this file if evtime is not set
-    :type evtype: String
-    :param evtype: L,R,D
-    :type userID: String
-    :param userID: 4-charectar SEISAN USER ID
-    :type outdir: String
-    :param outdir: Location to write S-file
-    :type overwrite: Bool
-    :param overwrite: Overwrite an existing S-file, default=False
-    :type evtime: UTCDateTime
-    :param evtime: If given this will set the timing of the S-file
-
-    :returns: String, S-file name
-    """
-
-    from obspy import read as obsread
-    import sys
-    import os
-    import datetime
-
-    if not evtime:
-        try:
-            st=obsread(wavefile)
-            evtime=st[0].stats.starttime
-        except:
-            print 'Wavefile: '+wavefile+' is invalid, try again with real data.'
-            sys.exit()
-    else:
-        starttime=evtime
-    # Check that user ID is the correct length
-    if len(userID) != 4:
-        print 'User ID must be 4 characters long'
-        sys.exit()
-    # Check that outdir exists
-    if not os.path.isdir(outdir):
-        print 'Out path does not exist, I will not create this: '+outdir
-        sys.exit()
-    # Check that evtype is one of L,R,D
-    if evtype not in ['L','R','D']:
-        print 'Event type must be either L, R or D'
-        sys.exit()
-
-    # Generate s-file name in the format dd-hhmm-ss[L,R,D].Syyyymm
-    sfilename=outdir+'/'+str(evtime.day).zfill(2)+'-'+\
-            str(evtime.hour).zfill(2)+\
-            str(evtime.minute).zfill(2)+'-'+\
-            str(evtime.second).zfill(2)+evtype+'.S'+\
-            str(evtime.year)+\
-            str(evtime.month).zfill(2)
-    # Check is sfilename exists
-    if os.path.isfile(sfilename) and not overwrite:
-        print 'Desired sfilename: '+sfilename+' exists, will not overwrite'
-        for i in range(1,10):
-            sfilename=outdir+'/'+str(evtime.day).zfill(2)+'-'+\
-                    str(evtime.hour).zfill(2)+\
-                    str(evtime.minute).zfill(2)+'-'+\
-                    str(evtime.second+i).zfill(2)+evtype+'.S'+\
-                    str(evtime.year)+\
-                    str(evtime.month).zfill(2)
-            if not os.path.isfile(sfilename):
-                break
-        else:
-            print 'Tried generated files up to 10s in advance and found they'
-            print 'all exist, you need to clean your stuff up!'
-            sys.exit()
-        # sys.exit()
-    f=open(sfilename,'w')
-    # Write line 1 of s-file
-    f.write(' '+str(evtime.year)+' '+\
-            str(evtime.month).rjust(2)+\
-            str(evtime.day).rjust(2)+' '+\
-            str(evtime.hour).rjust(2)+\
-            str(evtime.minute).rjust(2)+' '+\
-            str(float(evtime.second)).rjust(4)+' '+\
-            evtype+'1'.rjust(58)+'\n')
-    # Write line 2 of s-file
-    f.write(' ACTION:ARG '+str(datetime.datetime.now().year)[2:4]+'-'+\
-            str(datetime.datetime.now().month).zfill(2)+'-'+\
-            str(datetime.datetime.now().day).zfill(2)+' '+\
-            str(datetime.datetime.now().hour).zfill(2)+':'+\
-            str(datetime.datetime.now().minute).zfill(2)+' OP:'+\
-            userID.ljust(4)+' STATUS:'+'ID:'.rjust(18)+\
-            str(evtime.year)+\
-            str(evtime.month).zfill(2)+\
-            str(evtime.day).zfill(2)+\
-            str(evtime.hour).zfill(2)+\
-            str(evtime.minute).zfill(2)+\
-            str(evtime.second).zfill(2)+\
-            'I'.rjust(6)+'\n')
-    # Write line 3 of s-file
-    f.write(' '+wavefile+'6'.rjust(79-len(wavefile))+'\n')
-    # Write final line of s-file
-    f.write(' STAT SP IPHASW D HRMM SECON CODA AMPLIT PERI AZIMU'+\
-            ' VELO AIN AR TRES W  DIS CAZ7\n')
-    f.close()
-    print 'Written s-file: '+sfilename
-    return sfilename
-

-
[docs]def populateSfile(sfilename, picks):
-    """
-    Module to populate a blank nordic format S-file with pick information,
-    arguments required are the filename of the blank s-file and the picks
-    where picks is a dictionary of picks including station, channel,
-    impulsivity, phase, weight, polarity, time, coda, amplitude, peri, azimuth,
-    velocity, SNR, azimuth residual, Time-residual, final weight,
-    epicentral distance & azimuth from event to station.
-
-    This is a full pick line information from the seisan manual, P. 341
-
-    :type sfilename: str
-    :param sfilename: Path to S-file to populate, must have a header already
-    :type picks: List of :class: PICK
-    :param picks: List of the picks to be written out
-    """
-
-    f=open(sfilename, 'r')
-    # Find type 7 line, under which picks should be - if there are already
-    # picks there we should preserve them
-    body=''
-    header=''
-    if 'headerend' in locals():
-        del headerend
-    for lineno, line in enumerate(f):
-        identifier=line[79]
-        if 'headerend' in locals():
-            body+=line
-        else:
-            header+=line
-        if identifier=='7':
-            headerend=lineno
-    f.close()
-    #
-    # Now generate lines for the new picks
-    newpicks=''
-    for pick in picks:
-        if pick.distance >= 100.0:
-            pick.distance=_int_conv(pick.distance)
-        elif pick.distance < 100.0:
-            pick.distance=int(round(pick.distance,1))
-        newpicks+=pick.__str__()
-        newpicks+='\n'
-    # Write all new and old info back in
-    f=open(sfilename, 'w')
-    f.write(header)
-    f.write(newpicks)
-    f.write(body)
-    f.write('\n'.rjust(81))
-    f.close()
-    return
-

-
[docs]def test_rw():
-    """
-    Function to test the functions herein.
-    """
-    import os
-    test_pick=PICK('FOZ', 'SZ', 'I', 'P', '1', 'C', UTCDateTime("2012-03-26")+1,
-                 coda=10, amplitude=0.2, peri=0.1,
-                 azimuth=10.0, velocity=20.0, AIN=10, SNR='',
-                 azimuthres=1, timeres=0.1,
-                 finalweight=4, distance=10.0,
-                 CAZ=2)
-    print test_pick
-    sfilename=blanksfile('test', 'L', 'TEST', '.', overwrite=True,\
-     evtime=UTCDateTime("2012-03-26")+1)
-    populateSfile(sfilename, [test_pick])
-    assert readwavename(sfilename) == ['test']
-    assert readpicks(sfilename)[0].station == test_pick.station
-    assert readpicks(sfilename)[0].channel == test_pick.channel
-    assert readpicks(sfilename)[0].impulsivity == test_pick.impulsivity
-    assert readpicks(sfilename)[0].phase == test_pick.phase
-    assert readpicks(sfilename)[0].weight == test_pick.weight
-    assert readpicks(sfilename)[0].polarity== test_pick.polarity
-    assert readpicks(sfilename)[0].time == test_pick.time
-    assert readpicks(sfilename)[0].coda == test_pick.coda
-    assert readpicks(sfilename)[0].amplitude == test_pick.amplitude
-    assert readpicks(sfilename)[0].peri == test_pick.peri
-    assert readpicks(sfilename)[0].azimuth == test_pick.azimuth
-    assert readpicks(sfilename)[0].velocity == test_pick.velocity
-    assert readpicks(sfilename)[0].AIN == test_pick.AIN
-    assert readpicks(sfilename)[0].SNR == test_pick.SNR
-    assert readpicks(sfilename)[0].azimuthres == test_pick.azimuthres
-    assert readpicks(sfilename)[0].timeres == test_pick.timeres
-    assert readpicks(sfilename)[0].finalweight == test_pick.finalweight
-    assert readpicks(sfilename)[0].distance == test_pick.distance
-    assert readpicks(sfilename)[0].CAZ == test_pick.CAZ
-    header = readheader(sfilename)
-    os.remove(sfilename)
-    return True
-

-if __name__=='__main__':
-    # Read arguments
-    import sys, os
-    if len(sys.argv) != 6:
-        print 'Requires 5 arguments: wavefile, evtype, userID, outdir, overwrite'
-        sys.exit()
-    else:
-        wavefile=str(sys.argv[1])
-        evtype=str(sys.argv[2])
-        userID=str(sys.argv[3])
-        outdir=str(sys.argv[4])
-        overwrite=str(sys.argv[5])
-    sfilename=blanksfile(wavefile,evtype,userID,outdir,overwrite)
-    print sfilename
-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/bright_lights.html b/_modules/bright_lights.html deleted file mode 100644 index 050e9b4c9..000000000 --- a/_modules/bright_lights.html +++ /dev/null @@ -1,939 +0,0 @@ - - - - - - - - - - bright_lights — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for bright_lights

-#!/usr/bin/python
-"""
-Code to determine the brightness function of seismic data according to a three-\
-dimensional travel-time grid.  This travel-time grid should be generated using\
-the grid2time function of the NonLinLoc package by Anthony Lomax which can be\
-found here: http://alomax.free.fr/nlloc/ and is not distributed within this\
-package as this is a very useful stand-alone library for seismic event location.\
-\
-This code is based on the method of Frank & Shapiro 2014.\
-\
-Code generated by Calum John Chamberlain of Victoria University of Wellington,\
-2015.
-
-
-.. rubric:: Note
-Pre-requisites:
-    - gcc             - for the installation of the openCV correlation routine
-    - python-cv2      - Python bindings for the openCV routines
-    - python-joblib   - used for parallel processing
-    - python-obspy    - used for lots of common seismological processing
-                        - requires:
-                            - numpy
-                            - scipy
-                            - matplotlib
-    - NonLinLoc       - used outside of all codes for travel-time generation
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-import warnings
-import numpy as np
-
[docs]def _read_tt(path, stations, phase, phaseout='S', ps_ratio=1.68,\
-            lags_switch=True):
-    """
-    Function to read in .csv files of slowness generated from Grid2Time (part
-    of NonLinLoc by Anthony Lomax) and convert this to a useful format here.
-
-    It should be noted that this can read either P or S travel-time grids, not
-    both at the moment.
-
-    :type path: str
-    :param path: The path to the .csv Grid2Time outputs
-    :type stations: list
-    :param stations: List of station names to read slowness files for.
-    :type phaseout: str
-    :param phaseout: What phase to return the lagtimes in
-    :type ps_ratio: float
-    :param ps_ratio: p to s ratio for coversion
-    :type lags_switch: Bool
-    :param lags_switch: Return lags or raw travel-times, if set to true will return lags.
-
-    :return: list stations, list of lists of tuples nodes, \
-    :class: 'numpy.array' lags station[1] refers to nodes[1] and \
-    lags[1] nodes[1][1] refers to station[1] and lags[1][1]\
-    nodes[n][n] is a tuple of latitude, longitude and depth
-    """
-
-    import glob
-    import sys
-    import csv
-
-    # Locate the slowness file information
-    gridfiles=[]
-    stations_out=[]
-    for station in stations:
-        gridfiles+=(glob.glob(path+'*.'+phase+'.'+station+'.time.csv'))
-        if glob.glob(path+'*.'+phase+'.'+station+'*.csv'):
-            stations_out+=[station]
-    if not stations_out:
-        print 'No slowness files found'
-        sys.exit()
-    # Read the files
-    allnodes=[]
-    for gridfile in gridfiles:
-        print '     Reading slowness from: '+gridfile
-        f=open(gridfile,'r')
-        grid=csv.reader(f, delimiter=' ')
-        traveltime=[]
-        nodes=[]
-        for row in grid:
-            nodes.append((row[0],row[1],row[2]))
-            traveltime.append(float(row[3]))
-        traveltime=np.array(traveltime)
-        if not phase == phaseout:
-            if phase == 'S':
-                traveltime=traveltime/1.68
-            else:
-                traveltime=traveltime*1.68
-        if lags_switch:
-            lags=traveltime-min(traveltime)
-        else:
-            lags=traveltime
-        if not 'alllags' in locals():
-            alllags=[lags]
-        else:
-            alllags=np.concatenate((alllags,[lags]), axis=0)
-        allnodes=nodes  # each element of allnodes should be the same as the
-                        # other one, e.g. for each station the grid must be the
-                        # same, hence allnodes=nodes
-        f.close()
-    return stations_out, allnodes, alllags
-

-
[docs]def _resample_grid(stations, nodes, lags, mindepth, maxdepth, corners, resolution):
-    """
-    Function to resample the lagtime grid to a given volume.  For use if the
-    grid from Grid2Time is too large or you want to run a faster, downsampled
-    scan.
-
-    :type stations: list
-    :param stations: List of station names from in the form where stations[i]\
-    refers to nodes[i][:] and lags[i][:]
-    :type nodes: list, tuple
-    :param nodes: List of node points where nodes[i] referes to stations[i] and\
-    nodes[:][:][0] is latitude in degrees, nodes[:][:][1] is longitude in\
-    degrees, nodes[:][:][2] is depth in km.
-    :type lags: :class: 'numpy.array'
-    :param lags: Array of arrays where lags[i][:] refers to stations[i].\
-    lags[i][j] should be the delay to the nodes[i][j] for stations[i] in seconds\
-    :type mindepth: float
-    :param mindepth: Upper limit of volume
-    :type maxdepth: float
-    :param maxdepth: Lower limit of volume
-    :type corners: matplotlib.Path
-    :param corners: matplotlib path of the corners for the 2D polygon to cut to\
-    in lat and long
-
-    :return: list stations, list of lists of tuples nodes, :class: \
-    'numpy.array' lags station[1] refers to nodes[1] and lags[1]\
-    nodes[1][1] refers to station[1] and lags[1][1]\
-    nodes[n][n] is a tuple of latitude, longitude and depth.
-    """
-    import sys
-    import numpy as np
-    resamp_nodes=[]
-    resamp_lags=[]
-    # Cut the volume
-    for i, node in enumerate(nodes):
-        # If the node is within the volume range, keep it
-        if mindepth < float(node[2]) < maxdepth and\
-           corners.contains_point(node[0:2]):
-                resamp_nodes.append(node)
-                resamp_lags.append([lags[:,i]])
-    # Reshape the lags
-    print np.shape(resamp_lags)
-    resamp_lags=np.reshape(resamp_lags,(len(resamp_lags),len(stations))).T
-    # Resample the nodes - they are sorted in order of size with largest long
-    # then largest lat, then depth.
-    print 'Grid now has '+str(len(resamp_nodes))+' nodes'
-    return stations, resamp_nodes, resamp_lags
-

-
[docs]def _rm_similarlags(stations, nodes, lags, threshold):
-    """
-    Function to remove those nodes that have a very similar network moveout
-    to another lag.
-
-    Will, for each node, calculate the difference in lagtime at each station
-    at every node, then sum these for each node to get a cumulative difference
-    in network moveout.  This will result in an array of arrays with zeros on
-    the diagonal.
-
-    :type stations: list
-    :param stations: List of station names from in the form where stations[i]\
-    refers to nodes[i][:] and lags[i][:]
-    :type nodes: list, tuple
-    :param nodes: List of node points where nodes[i] referes to stations[i] and\
-    nodes[:][:][0] is latitude in degrees, nodes[:][:][1] is longitude in\
-    degrees, nodes[:][:][2] is depth in km.
-    :type lags: :class: 'numpy.array'
-    :param lags: Array of arrays where lags[i][:] refers to stations[i].\
-    lags[i][j] should be the delay to the nodes[i][j] for stations[i] in seconds
-    :type threhsold: float
-    :param threshold: Threshold for removal in seconds
-
-    :returns: list stations, list of lists of tuples nodes, :class: \
-    'numpy.array' lags station[1] refers to nodes[1] and lags[1]\
-    nodes[1][1] refers to station[1] and lags[1][1]\
-    nodes[n][n] is a tuple of latitude, longitude and depth.
-    """
-    import sys
-    netdif=abs((lags.T-lags.T[0]).sum(axis=1).reshape(1,len(nodes)))>threshold
-    for i in range(len(nodes)):
-        netdif=np.concatenate((netdif, \
-                               abs((lags.T-lags.T[i]).sum(axis=1).reshape(1,len(nodes)))>threshold),\
-                              axis=0)
-        sys.stdout.write("\r"+str(float(i)/len(nodes)*100)+"% \r")
-        sys.stdout.flush()
-    nodes_out=[nodes[0]]
-    node_indeces=[0]
-    print "\n"
-    print len(nodes)
-    for i in xrange(1,len(nodes)):
-        if np.all(netdif[i][node_indeces]):
-            node_indeces.append(i)
-            nodes_out.append(nodes[i])
-    lags_out=lags.T[node_indeces].T
-    print "Removed "+str(len(nodes)-len(nodes_out))+" duplicate nodes"
-    return stations, nodes_out, lags_out
-

-
[docs]def _node_loop(stations, lags, stream, clip_level, \
-                i=0, mem_issue=False, instance=0, plot=False):
-    """
-    Internal function to allow for parallelisation of brightness
-
-    :type stations: list
-    :param stations: List of stations to use
-    :type lags: np.ndarray
-    :param lags: List of lags where lags[i[:]] are the lags for stations[i]
-    :type stream: :class: `obspy.Stream`
-    :param stream: Data stream to find the brightness for
-    :type clip_level: float
-    :param clip_level: Upper limit for energy as a multiplier to the mean energy
-    :type i: int
-    :param i: Index of loop for parallelisation
-    :type mem_issue: bool
-    :param mem_issue: If True will write to disk rather than storing data in RAM
-    :type instance: int
-    :param instance: instance for bulk parallelisation, only used if mem_issue=true
-    :type plot: bool
-    :param plot: Turn plotting on or off, defaults to False
-
-    :return: (i, energy (np.ndarray))
-    """
-    import warnings
-    if plot:
-        from obspy import Trace, Stream
-        import matplotlib.pyplot as plt
-        fig, axes = plt.subplots(len(stream)+1, 1, sharex=True)
-        axes=axes.ravel()
-
-    for l, tr in enumerate(stream):
-        j = [k for k in range(len(stations)) if stations[k]==tr.stats.station]
-        # Check that there is only one matching station
-        if len(j)>1:
-            warnings.warn('Too many stations')
-            j=[j[0]]
-        if len(j)==0:
-            warnings.warn('No station match')
-            continue
-        lag=lags[j[0]]
-        pad=np.zeros(int(round(lag * tr.stats.sampling_rate)))
-        lagged_energy=np.square(np.concatenate((tr.data, pad)))[len(pad):]
-        # Clip energy
-        lagged_energy=np.clip(lagged_energy, 0, \
-                        clip_level * np.mean(lagged_energy))
-        if not 'energy' in locals():
-            energy=(lagged_energy / \
-                    np.sqrt(np.mean(np.square(lagged_energy)))).reshape(1,len(lagged_energy))
-            # Cope with zeros enountered
-            energy=np.nan_to_num(energy)
-            # This is now an array of floats - we can convert this to int16
-            # normalize to have max at max of int16 range
-            if not max(energy[0])==0.0:
-                scalor=1/max(energy[0])
-                energy=(500*(energy*scalor)).astype(np.int16)
-            else:
-                energy=energy.astype(np.int16)
-        else:
-            norm_energy=(lagged_energy / \
-                        np.sqrt(np.mean(np.square(lagged_energy)))).reshape(1,len(lagged_energy))
-            norm_energy=np.nan_to_num(norm_energy)
-            # Convert to int16
-            if not max(norm_energy[0])==0.0:
-                scalor=1 / max(norm_energy[0])
-                norm_energy=(500 * (norm_energy * scalor)).astype(np.int16)
-            else:
-                norm_energy=norm_energy.astype(np.int16)
-            # Apply lag to data and add it to energy - normalize the data here
-            energy=np.concatenate((energy,norm_energy), axis=0)
-        if plot:
-            axes[l].plot(lagged_energy * 200, 'r')
-            axes[l].plot(tr.data, 'k')
-            # energy_tr=Trace(energy[l])
-            energy_tr=Trace(lagged_energy)
-            # energy_tr=Trace(tr.data)
-            energy_tr.stats.station=tr.stats.station
-            energy_tr.stats.sampling_rate=tr.stats.sampling_rate
-            if not 'energy_stream' in locals():
-                energy_stream=Stream(energy_tr)
-            else:
-                energy_stream+=energy_tr
-    energy=np.sum(energy, axis=0).reshape(1,len(lagged_energy))
-    energy=energy.astype(np.uint16)
-    # Convert any nans to zeros
-    energy=np.nan_to_num(energy)
-    if plot:
-        energy_tr=Trace(energy[0])
-        energy_tr.stats.station='Stack'
-        energy_tr.stats.sampling_rate=tr.stats.sampling_rate
-        energy_tr.stats.network='Energy'
-        energy_stream+=energy_tr
-        axes[-1].plot(energy[0])
-        plt.subplots_adjust(hspace=0)
-        plt.show()
-        # energy_stream.plot(equal_scale=False, size=(800,600))
-    if not mem_issue:
-        return (i, energy)
-    else:
-        np.save('tmp'+str(instance)+'/node_'+str(i), energy)
-        return (i, 'tmp'+str(instance)+'/node_'+str(i))
-

-
[docs]def _cum_net_resp(node_lis, instance=0):
-    """
-    Function to compute the cumulative network response by reading the saved
-    energy .npy files
-
-    :type node_lis: np.ndarray
-    :param node_lis: List of nodes (ints) to read from
-    :type instance: Int
-    :param instance: Instance flag for parallelisation, defaults to 0.
-
-    :returns: np.ndarray cum_net_resp, list of indeces used
-    """
-    import os
-    cum_net_resp=np.load('tmp'+str(instance)+'/node_'+str(node_lis[0])+'.npy')[0]
-    os.remove('tmp'+str(instance)+'/node_'+str(node_lis[0])+'.npy')
-    indeces=np.ones(len(cum_net_resp))*node_lis[0]
-    for i in node_lis[1:]:
-        node_energy=np.load('tmp'+str(instance)+'/node_'+str(i)+'.npy')[0]
-        updated_indeces=np.argmax([cum_net_resp, node_energy], axis=0)
-        temp=np.array([cum_net_resp, node_energy])
-        cum_net_resp=np.array([temp[updated_indeces[j]][j] \
-                               for j in xrange(len(updated_indeces))])
-        del temp, node_energy
-        updated_indeces[updated_indeces==1]=i
-        indeces=updated_indeces
-        os.remove('tmp'+str(instance)+'/node_'+str(i)+'.npy')
-    return cum_net_resp, indeces
-

-
[docs]def _find_detections(cum_net_resp, nodes, threshold, thresh_type,\
-                    samp_rate, realstations, length):
-    """
-    Function to find detections within the cumulative network response according
-    to Frank et al. (2014).
-
-    :type cum_net_resp: np.ndarray
-    :param cum_net_resp: Array of cumulative network response for nodes
-    :type nodes: list of tuples
-    :param nodes: Nodes associated with the source of energy in the cum_net_resp
-    :type threshold: float
-    :param threshold: Threshold value
-    :type thresh_type: str
-    :param thresh_type: Either MAD (Median Absolute Deviation) or abs (absolute)\
-    or RMS (Root Mean Squared)
-    :type samp_rate: float
-    :param samp_rate: Sampling rate in Hz
-    :type realstations: list of str
-    :param realstations: List of stations used to make the cumulative network\
-    response, will be reported in the DETECTION
-    :type length: float
-    :param length: Maximum length of peak to look for in seconds
-
-    :return: detections as :class: DETECTION
-    """
-    from eqcorrscan.utils import findpeaks
-    from eqcorrscan.core.match_filter import DETECTION
-
-    cum_net_resp = np.nan_to_num(cum_net_resp) # Force no NaNs
-    if np.isnan(cum_net_resp).any():
-        raise ValueError("Nans present")
-    print 'Mean of data is: '+str(np.median(cum_net_resp))
-    print 'RMS of data is: '+str(np.sqrt(np.mean(np.square(cum_net_resp))))
-    print 'MAD of data is: '+str(np.median(np.abs(cum_net_resp)))
-    if thresh_type=='MAD':
-        thresh=(np.median(np.abs(cum_net_resp)) * threshold) # Raise to the power
-    elif thresh_type=='abs':
-        thresh=threshold
-    elif thresh_type=='RMS':
-        thresh=(np.sqrt(np.mean(np.square(cum_net_resp)))) * threshold
-    print 'Threshold is set to: '+str(thresh)
-    print 'Max of data is: '+str(max(cum_net_resp))
-    peaks=findpeaks.find_peaks2(cum_net_resp, thresh,
-                    length * samp_rate, debug=0, maxwidth=10)
-    detections=[]
-    if peaks:
-        for peak in peaks:
-            node=nodes[peak[1]]
-            detections.append(DETECTION(node[0]+'_'+node[1]+'_'+node[2],
-                                         peak[1]/samp_rate,
-                                         len(realstations), peak[0], thresh,
-                                         'brightness', realstations))
-    else:
-        detections=[]
-    print 'I have found '+str(len(peaks))+' possible detections'
-    return detections
-

-
[docs]def coherence(stream_in, stations=['all'], clip=False):
-    """
-    Function to determine the average network coherence of a given template or
-    detection.  You will want your stream to contain only signal as noise
-    will reduce the coherence (assuming it is incoherant random noise).
-
-    :type stream: obspy.Stream
-    :param stream: The stream of seismic data you want to calculate the\
-            coherence for.
-    :type stations: List of String
-    :param stations: List of stations to use for coherence, default is all
-    :type clip: Tuple of Float
-    :param clip: Default is to use all the data given - \
-            tuple of start and end in seconds from start of trace
-
-    :return: float - coherence, int number of channels used
-    """
-    stream=stream_in.copy() # Copy the data before we remove stations
-    # First check that all channels in stream have data of the same length
-    maxlen=np.max([len(tr.data) for tr in stream])
-    if maxlen==0:
-        warnings.warn('template without data')
-        return 0.0
-    if not stations[0]=='all':
-        for tr in stream:
-            if not tr.stats.station in stations:
-                stream.remove(tr) # Remove stations we don't want to use
-    for tr in stream:
-        if not len(tr.data) == maxlen and not len(tr.data)==0:
-            warnings.warn(tr.stats.station+'.'+tr.stats.channel+\
-                          ' is not the same length, padding \n'+\
-                          'Length is '+str(len(tr.data))+' samples')
-            pad=np.zeros(maxlen-len(tr.data))
-            if tr.stats.starttime.hour == 0:
-                tr.data=np.concatenate((pad, tr.data), axis=0)
-            else:
-                tr.data=np.concatenate((tr.data, pad), axis=0)
-        elif len(tr.data)==0:
-            tr.data=np.zeros(maxlen)
-    # Clip the data to the set length
-    if clip:
-        for tr in stream:
-            tr.trim(tr.stats.starttime+clip[0], tr.stats.starttime+clip[1])
-    coherence=0.0
-    from match_filter import normxcorr2
-    # Loop through channels and generate a correlation value for each
-    # unique cross-channel pairing
-    for i in range(len(stream)):
-        for j in range(i+1,len(stream)):
-            coherence+=np.abs(normxcorr2(stream[i].data, stream[j].data))[0][0]
-    coherence=2 * coherence / (len(stream) * (len(stream) - 1))
-    return coherence, len(stream)
-

-
[docs]def brightness(stations, nodes, lags, stream, threshold, thresh_type,\
-               template_length, template_saveloc, coherence_thresh,\
-               coherance_stations=['all'], coherance_clip=False,\
-               gap=2.0, clip_level=100, instance=0, pre_pick=0.2, plotsave=True,\
-               cores=1):
-    """
-    Function to calculate the brightness function in terms of energy for a day
-    of data over the entire network for a given grid of nodes.
-
-    Note data in stream must be all of the same length and have the same
-    sampling rates.
-
-    :type stations: list
-    :param stations: List of station names from in the form where stations[i]\
-    refers to nodes[i][:] and lags[i][:]
-    :type nodes: list, tuple
-    :param nodes: List of node points where nodes[i] referes to stations[i] and\
-    nodes[:][:][0] is latitude in degrees, nodes[:][:][1] is longitude in\
-    degrees, nodes[:][:][2] is depth in km.
-    :type lags: :class: 'numpy.array'
-    :param lags: Array of arrays where lags[i][:] refers to stations[i].\
-    lags[i][j] should be the delay to the nodes[i][j] for stations[i] in seconds.
-    :type stream: :class: `obspy.Stream`
-    :param data: Data through which to look for detections.
-    :type threshold: float
-    :param threshold: Threshold value for detection of template within the\
-    brightness function
-    :type thresh_type: str
-    :param thresh_type: Either MAD or abs where MAD is the Median Absolute\
-    Deviation and abs is an absoulte brightness.
-    :type template_length: float
-    :param template_length: Length of template to extract in seconds
-    :type template_saveloc: str
-    :param template_saveloc: Path of where to save the templates.
-    :type coherence_thresh: tuple of floats
-    :param coherence_thresh: Threshold for removing incoherant peaks in the\
-            network response, those below this will not be used as templates.\
-            Must be in the form of (a,b) where the coherence is given by:\
-            a-kchan/b where kchan is the number of channels used to compute\
-            the coherence
-    :type coherance_stations: list
-    :param coherance_stations: List of stations to use in the coherance\
-            thresholding - defaults to 'all' which uses all the stations.
-    :type coherance_clip: float
-    :param coherance_clip: tuple
-    :type coherance_clip: Start and end in seconds of data to window around,\
-            defaults to False, which uses all the data given.
-    :type pre_pick: float
-    :param pre_pick: Seconds before the detection time to include in template
-    :type plotsave: bool
-    :param plotsave: Save or show plots, if False will try and show the plots\
-            on screen - as this is designed for bulk use this is set to\
-            True to save any plots rather than show them if you create\
-            them - changes the backend of matplotlib, so if is set to\
-            False you will see NO PLOTS!
-    :type cores: int
-    :param core: Number of cores to use, defaults to 1.
-    :type clip_level: float
-    :param clip_level: Multiplier applied to the mean deviation of the energy\
-                    as an upper limit, used to remove spikes (earthquakes, \
-                    lightning, electircal spikes) from the energy stack.
-    :type gap: float
-    :param gap: Minimum inter-event time in seconds for detections
-
-    :return: list of templates as :class: `obspy.Stream` objects
-    """
-    from eqcorrscan.core.template_gen import _template_gen
-    if plotsave:
-        import matplotlib
-        matplotlib.use('Agg')
-        import matplotlib.pyplot as plt
-        plt.ioff()
-    # from joblib import Parallel, delayed
-    from multiprocessing import Pool, cpu_count
-    from eqcorrscan.utils.Sfile_util import PICK
-    import sys, os
-    from copy import deepcopy
-    from obspy import read as obsread, Stream
-    import matplotlib.pyplot as plt
-    from eqcorrscan.utils import EQcorrscan_plotting as plotting
-    # Check that we actually have the correct stations
-    realstations=[]
-    for station in stations:
-        st=stream.select(station=station)
-        if st:
-            realstations+=station
-    del st
-    stream_copy=stream.copy()
-    # Force convert to int16
-    for tr in stream_copy:
-        # int16 max range is +/- 32767
-        if max(abs(tr.data)) > 32767:
-            tr.data=32767 * (tr.data / max(abs(tr.data)))
-            # Make sure that the data aren't clipped it they are high gain - scale the data
-        tr.data=tr.data.astype(np.int16)
-    # The internal _node_loop converts energy to int16 too to converse memory,
-    # to do this it forces the maximum of a single energy trace to be 500 and
-    # normalises to this level - this only works for fewer than 65 channels of
-    # data
-    if len(stream_copy) > 130:
-        raise OverflowError('Too many streams, either re-code and cope with'+\
-                            'either more memory usage, or less precision, or'+\
-                            'reduce data volume')
-    detections=[]
-    detect_lags=[]
-    parallel=True
-    plotvar=True
-    mem_issue=False
-    # Loop through each node in the input
-    # Linear run
-    print 'Computing the energy stacks'
-    if not parallel:
-        for i in range(0,len(nodes)):
-            print i
-            if not mem_issue:
-                j, a=_node_loop(stations, lags[:,i], stream, plot=True)
-                if not 'energy' in locals():
-                    energy=a
-                else:
-                    energy=np.concatenate((energy,a), axis=0)
-                print 'energy: '+str(np.shape(energy))
-            else:
-                j, filename=_node_loop(stations, lags[:,i], stream, i, mem_issue)
-        energy=np.array(energy)
-        print np.shape(energy)
-    else:
-        # Parallel run
-        num_cores=cores
-        if num_cores > len(nodes):
-            num_cores=len(nodes)
-        if num_cores > cpu_count():
-            num_cores=cpu_count()
-        pool=Pool(processes=num_cores, maxtasksperchild=None)
-        results=[pool.apply_async(_node_loop, args=(stations,\
-                                                    lags[:,i], stream, i,\
-                                                    clip_level,\
-                                                    mem_issue, instance))\
-                                  for i in range(len(nodes))]
-        pool.close()
-        if not mem_issue:
-            print 'Computing the cumulative network response from memory'
-            energy=[p.get() for p in results]
-            pool.join()
-            energy.sort(key=lambda tup: tup[0])
-            energy = [node[1] for node in energy]
-            energy=np.concatenate(energy, axis=0)
-            print energy.shape
-        else:
-            pool.join()
-    # Now compute the cumulative network response and then detect possible events
-    if not mem_issue:
-        print energy.shape
-        indeces=np.argmax(energy, axis=0) # Indeces of maximum energy
-        print indeces.shape
-        cum_net_resp=np.array([np.nan] * len(indeces))
-        cum_net_resp[0]=energy[indeces[0]][0]
-        peak_nodes=[nodes[indeces[0]]]
-        for i in range(1, len(indeces)):
-            cum_net_resp[i]=energy[indeces[i]][i]
-            peak_nodes.append(nodes[indeces[i]])
-        del energy, indeces
-    else:
-        print 'Reading the temp files and computing network response'
-        node_splits=len(nodes)/num_cores
-        indeces=[range(node_splits)]
-        for i in range(1,num_cores-1):
-            indeces.append(range(node_splits * i, node_splits * (i + 1)))
-        indeces.append(range(node_splits * (i + 1), len(nodes)))
-        pool=Pool(processes=num_cores, maxtasksperchild=None)
-        results=[pool.apply_async(_cum_net_resp, args=(indeces[i], instance))\
-                                  for i in range(num_cores)]
-        pool.close()
-        results=[p.get() for p in results]
-        pool.join()
-        responses=[result[0] for result in results]
-        print np.shape(responses)
-        node_indeces=[result[1] for result in results]
-        cum_net_resp=np.array(responses)
-        indeces=np.argmax(cum_net_resp, axis=0)
-        print indeces.shape
-        print cum_net_resp.shape
-        cum_net_resp=np.array([cum_net_resp[indeces[j]][j]\
-                               for j in range(len(indeces))])
-        peak_nodes=[nodes[node_indeces[indeces[i]][i]] \
-                          for i in range(len(indeces))]
-        del indeces, node_indeces
-    if plotvar:
-        cum_net_trace=deepcopy(stream[0])
-        cum_net_trace.data=cum_net_resp
-        cum_net_trace.stats.station='NR'
-        cum_net_trace.stats.channel=''
-        cum_net_trace.stats.network='Z'
-        cum_net_trace.stats.location=''
-        cum_net_trace.stats.starttime=stream[0].stats.starttime
-        cum_net_trace=Stream(cum_net_trace)
-        cum_net_trace+=stream.select(channel='*N')
-        cum_net_trace+=stream.select(channel='*1')
-        cum_net_trace.sort(['network','station','channel'])
-        # np.save('cum_net_resp.npy',cum_net_resp)
-            # cum_net_trace.plot(size=(800,600), equal_scale=False,\
-                               # outfile='NR_timeseries.eps')
-
-    # Find detection within this network response
-    print 'Finding detections in the cumulatve network response'
-    detections=_find_detections(cum_net_resp, peak_nodes, threshold, thresh_type,\
-                     stream[0].stats.sampling_rate, realstations, gap)
-    del cum_net_resp
-    templates=[]
-    nodesout=[]
-    good_detections=[]
-    if detections:
-        print 'Converting detections in to templates'
-        for j, detection in enumerate(detections):
-            print 'Converting for detection '+str(j)+' of '+str(len(detections))
-            copy_of_stream=deepcopy(stream_copy)
-            # Convert detections to PICK type - name of detection template
-            # is the node.
-            node=(detection.template_name.split('_')[0],\
-                    detection.template_name.split('_')[1],\
-                    detection.template_name.split('_')[2])
-            print node
-            # Look up node in nodes and find the associated lags
-            index=nodes.index(node)
-            detect_lags=lags[:,index]
-            picks=[]
-            for i, detect_lag in enumerate(detect_lags):
-                station=stations[i]
-                st=copy_of_stream.select(station=station)
-                if len(st) != 0:
-                    for tr in st:
-                        picks.append(PICK(station=station,
-                                          channel=tr.stats.channel,
-                                          impulsivity='E', phase='S',
-                                          weight='3', polarity='',
-                                          time=tr.stats.starttime+detect_lag+\
-                                          detection.detect_time-pre_pick,
-                                          coda='', amplitude='', peri='',
-                                          azimuth='', velocity='', AIN='', SNR='',
-                                          azimuthres='', timeres='',
-                                          finalweight='', distance='',
-                                          CAZ=''))
-                i+=1
-            print 'Generating template for detection: '+str(j)
-            template=(_template_gen(picks, copy_of_stream, template_length, 'all'))
-            template_name=template_saveloc+'/'+\
-                    str(template[0].stats.starttime)+'.ms'
-                # In the interests of RAM conservation we write then read
-            # Check coherancy here!
-            temp_coher, kchan=coherence(template, coherence_stations,\
-                                 coherence_clip)
-            coh_thresh=float(coherence_thresh[0]) - kchan / \
-                        float(coherence_thresh[1])
-            if temp_coher > coh_thresh:
-                template.write(template_name,format="MSEED")
-                print 'Written template as: '+template_name
-                print '---------------------------------coherence LEVEL: '+\
-                        str(temp_coher)
-                coherant=True
-            else:
-                print 'Template was incoherant, coherence level: '+\
-                        str(temp_coher)
-                coherant=False
-            del copy_of_stream, tr, template
-            if coherant:
-                templates.append(obsread(template_name))
-                nodesout+=[node]
-                good_detections.append(detection)
-            else:
-                print 'No template for you'
-    if plotvar:
-        all_detections=[(cum_net_trace[-1].stats.starttime+\
-                         detection.detect_time).datetime \
-                        for detection in detections]
-        good_detections=[(cum_net_trace[-1].stats.starttime+\
-                          detection.detect_time).datetime \
-                         for detection in good_detections]
-        if not plotsave:
-            plotting.NR_plot(cum_net_trace[0:-1], Stream(cum_net_trace[-1]),\
-                             detections=good_detections,\
-                             # false_detections=all_detections,\
-                             size=(18.5, 10),\
-                             title='Network response')
-            # cum_net_trace.plot(size=(800,600), equal_scale=False)
-        else:
-            plotting.NR_plot(cum_net_trace[0:-1], Stream(cum_net_trace[-1]), \
-                             detections=good_detections,\
-                             # false_detections=all_detections,\
-                             size=(18.5, 10), save='plots/'+\
-				cum_net_trace[0].stats.starttime.datetime.strftime('%Y%m%d')+\
-				'_NR_timeseries.pdf',\
-                             title='Network response')
-
-    nodesout=list(set(nodesout))
-    return templates, nodesout

-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/catalogue2DD.html b/_modules/catalogue2DD.html deleted file mode 100644 index d24bd20e9..000000000 --- a/_modules/catalogue2DD.html +++ /dev/null @@ -1,567 +0,0 @@ - - - - - - - - - - catalogue2DD — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for catalogue2DD

-#!/usr/bin/python
-"""
-Module written by Calum Chamberlain as part of the EQcorrscan package.
-
-This module contains functions to convert a seisan catalogue to files ready for
-relocation in hypoDD - it will generate both a catalogue (dt.ct) file, event
-file (event.dat), station information file (station.dat), and a correlation
-oiutput file correlated every event in the catalogue with every other event to
-optimize the picks (dt.cc).
-
-The correlation routine relies on obspy's xcorrPickCorrection function from the
-obspy.signal.cross_correlation module.  This function optimizes picks to better
-than sample accuracy by interpolating the correlation function and finding the
-maximum of this rather than the true maximum correlation value.  The output
-from this function is stored in the dt.cc file.
-
-Information for the station.dat file is read from SEISAN's STATION0.HYP file
-
-Earthquake picks and locations are taken from the catalogued s-files - these
-must be pre-located before entering this routine as origin times and hypocentre
-locations are needed for event.dat files.
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-from eqcorrscan.utils import Sfile_util
-import os
-import numpy as np
-
-
[docs]def _cc_round(num, dp):
-    """
-    Convenience function to take a float and round it to dp padding with zeros
-    to return a string
-
-    :type num: float
-    :param num: Number to round
-    :type dp: int
-    :param dp: Number of decimal places to round to.
-
-    :returns: string
-    """
-    num=round(num, dp)
-    num='{0:.{1}f}'.format(num, dp)
-    return num
-

-
[docs]def _av_weight(W1, W2):
-    """
-    Function to convert from two seisan weights (0-4) to one hypoDD weight(0-1)
-
-    :type W1: str
-    :param W1: Seisan input weight (0-4)
-    :type W2: str
-    :param W2: Seisan input weight (0-4)
-
-    :returns: str
-    """
-    if W1==' ':
-        W1=1
-    elif W1=='9':
-        W1=0
-    else:
-        W1=1-int(W1)/4.0
-    if W2==' ':
-        W2=1
-    elif W2=='9':
-        W2=0
-    else:
-        W2=1-int(W2)/4.0
-    W=(W1+W2)/2
-    return _cc_round(W,4)
-

-
[docs]def readSTATION0(path, stations):
-    """
-    Function to read the STATION0.HYP file on the path given.  Outputs written
-    in station.dat file.
-
-    :type path: String
-    :param path: Path to the STATION0.HYP file
-    :type station: List
-    :param station: Stations to look for
-
-    :returns: List of tuples of station, lat, long, elevation
-    """
-    stalist=[]
-    f=open(path+'/STATION0.HYP','r')
-    for line in f:
-        if line[2:6].strip() in stations:
-            station=line[2:6].strip()
-            print station
-            lat=line[6:14] # Format is either ddmm.mmS/N or ddmm(.)mmmS/N
-            if lat[-1]=='S':
-                NS=-1
-            else:
-                NS=1
-            if lat[4]=='.':
-                lat=(int(lat[0:2])+float(lat[2:-1])/60)*NS
-            else:
-                lat=(int(lat[0:2])+float(lat[2:4]+'.'+lat[4:-1])/60)*NS
-            lon=line[14:23]
-            if lon[-1]=='S':
-                EW=-1
-            else:
-                EW=1
-            if lon[5]=='.':
-                lon=(int(lon[0:3])+float(lon[3:-1])/60)*EW
-            else:
-                lon=(int(lon[0:3])+float(lon[3:5]+'.'+lon[5:-1])/60)*EW
-            elev=float(line[23:-1].strip())
-            stalist.append((station, lat, lon, elev))
-    f.close()
-    f=open('station.dat','w')
-    for sta in stalist:
-        f.write(sta[0]+'   '+_cc_round(sta[1],4)+'   '+_cc_round(sta[2],4)+\
-                '   '+_cc_round(sta[3]/1000,4)+'\n')
-    f.close()
-    return stalist
-

-
[docs]def write_event(sfile_list):
-    """
-    Function to write out an event.dat file of the events
-
-    :type sfile_list: List
-    :param sfile_list: List of s-files to sort and put into the database
-
-    :returns: List of tuples of event ID (int) and Sfile name
-    """
-    event_list=[]
-    sort_list=[(Sfile_util.readheader(sfile).time, sfile) for sfile in sfile_list]
-    sort_list.sort(key=lambda tup:tup[0])
-    sfile_list=[sfile[1] for sfile in sort_list]
-    f=open('event.dat','w')
-    for i, sfile in enumerate(sfile_list):
-        event_list.append((i, sfile))
-        evinfo=Sfile_util.readheader(sfile)
-        f.write(str(evinfo.time.year)+str(evinfo.time.month).zfill(2)+\
-                str(evinfo.time.day).zfill(2)+'  '+\
-                str(evinfo.time.hour).rjust(2)+str(evinfo.time.minute).zfill(2)+\
-                str(evinfo.time.second).zfill(2)+\
-                str(evinfo.time.microsecond)[0:2].zfill(2)+'  '+\
-                str(evinfo.latitude).ljust(8,'0')+'   '+\
-                str(evinfo.longitude).ljust(8,'0')+'  '+\
-                str(evinfo.depth).rjust(7).ljust(9,'0')+'   '+\
-                str(evinfo.Mag_1)+'    0.00    0.00   '+\
-                str(evinfo.t_RMS).ljust(4,'0')+\
-                str(i).rjust(11)+'\n')
-    f.close()
-    return event_list
-

-
[docs]def write_catalogue(event_list, max_sep=1, min_link=8):
-    """
-    Function to write the dt.ct file needed by hypoDD - takes input event list
-    from write_event as a list of tuples of event id and sfile.  It will read
-    the pick information from the seisan formated s-file using the Sfile_util
-    utilities.
-
-    :type event_list: List of tuple
-    :param event_list: List of tuples of event_id (int) and sfile (String)
-    :type max_sep: float
-    :param max_sep: Maximum seperation between event pairs in km
-    :type min_link: int
-    :param min_link: Minimum links for an event to be paired
-
-    :returns: List stations
-    """
-    from eqcorrscan.utils.mag_calc import dist_conv
-    f=open('dt.ct','w')
-    fphase=open('phase.dat','w')
-    stations=[]
-    evcount=0
-    for i, master in enumerate(event_list):
-        master_sfile=master[1]
-        master_event_id=master[0]
-        master_picks=Sfile_util.readpicks(master_sfile)
-        master_ori_time=Sfile_util.readheader(master_sfile).time
-        # print 'Master origin time: '+str(master_ori_time)
-        master_location=(Sfile_util.readheader(master_sfile).latitude,\
-                         Sfile_util.readheader(master_sfile).longitude,\
-                         Sfile_util.readheader(master_sfile).depth)
-        header='#  '+str(master_ori_time.year)
-        fphase.write(header+'\n')
-        for pick in master_picks:
-            fphase.write(pick.station+'  '+_cc_round(pick.time-master_ori_time,3)+\
-                         '   '+'\n')
-        for j in range(i+1,len(event_list)):
-            # Use this tactic to only output unique event pairings
-            slave_sfile=event_list[j][1]
-            slave_event_id=event_list[j][0]
-            # Write out the header line
-            event_text='#'+str(master_event_id).rjust(10)+\
-                    str(slave_event_id).rjust(10)+'\n'
-            slave_picks=Sfile_util.readpicks(slave_sfile)
-            slave_ori_time=Sfile_util.readheader(slave_sfile).time
-            slave_location=(Sfile_util.readheader(slave_sfile).latitude,\
-                         Sfile_util.readheader(slave_sfile).longitude,\
-                         Sfile_util.readheader(slave_sfile).depth)
-            if dist_calc(master_location, slave_location) > max_sep:
-                break
-            links=0 # Count the number of linkages
-            for pick in master_picks:
-                if pick.phase not in ['P','S']:
-                    continue # Only use P and S picks, not amplitude or 'other'
-                # Find station, phase pairs
-                slave_matches=[p for p in slave_picks if p.station==pick.station\
-                               and p.phase==pick.phase]
-                # Loop through the matches
-                for slave_pick in slave_matches:
-                    links+=1
-                    event_text+=pick.station.ljust(4)+\
-                            _cc_round(pick.time-master_ori_time,3).rjust(11)+\
-                            _cc_round(slave_pick.time-slave_ori_time,3).rjust(8)+\
-                            _av_weight(pick.weight, slave_pick.weight).rjust(7)+' '+\
-                            pick.phase+'\n'
-                    stations.append(pick.station)
-            if links >= min_link:
-                f.write(event_text)
-                evcount+=1
-    print 'You have '+str(evcount)+' links'
-    # f.write('\n')
-    f.close()
-    fphase.close()
-    return list(set(stations))
-

-
[docs]def write_correlations(event_list, wavbase, extract_len, pre_pick, shift_len,\
-                       lowcut=1.0, highcut=10.0, max_sep=4, min_link=8, \
-                       coh_thresh=0.0):
-    """
-    Function to write a dt.cc file for hypoDD input - takes an input list of
-    events and computes pick refienements by correlation.
-
-    Note that this is **NOT** fast.
-
-    :type event_list: List of tuple
-    :param event_list: List of tuples of event_id (int) and sfile (String)
-    :type wavbase: string
-    :param wavbase: Path to the seisan wave directory that the wavefiles in the
-                    S-files are stored
-    :type extract_len: float
-    :param extract_len: Length in seconds to extract around the pick
-    :type pre_pick: float
-    :param pre_pick: Time before the pick to start the correclation window
-    :type shift_len: float
-    :param shift_len: Time to allow pick to vary
-    :type lowcut: float
-    :param lowcut: Lowcut in Hz - default=1.0
-    :type highcut: float
-    :param highcut: Highcut in Hz - deafult=10.0
-    :type max_sep: float
-    :param max_sep: Maximum seperation between event pairs in km
-    :type min_link: int
-    :param min_link: Minimum links for an event to be paired
-    """
-    from obspy.signal.cross_correlation import xcorrPickCorrection
-    import matplotlib.pyplot as plt
-    from obspy import read
-    from eqcorrscan.utils.mag_conv import dist_calc
-    import glob
-    corr_list=[]
-    f=open('dt.cc','w')
-    for i, master in enumerate(event_list):
-        master_sfile=master[1]
-        master_event_id=master[0]
-        master_picks=Sfile_util.readpicks(master_sfile)
-        master_ori_time=Sfile_util.readheader(master_sfile).time
-        master_location=(Sfile_util.readheader(master_sfile).latitude,\
-                         Sfile_util.readheader(master_sfile).longitude,\
-                         Sfile_util.readheader(master_sfile).depth)
-        master_wavefiles=Sfile_util.readwavename(master_sfile)
-        masterpath=glob.glob(wavbase+os.sep+'????'+os.sep+'??'+os.sep+master_wavefiles[0])
-        if masterpath:
-            masterstream=read(masterpath[0])
-        if len(master_wavefiles)>1:
-            for wavefile in master_wavefiles:
-                wavepath=glob.glob(wavbase+os.sep+'*'+os.sep+'*'+os.sep+wavefile)
-                if wavepath:
-                    masterstream+=read(wavepath[0])
-                else:
-                    raise IOError("Couldn't find wavefile")
-        for j in xrange(i+1,len(event_list)):
-            # Use this tactic to only output unique event pairings
-            slave_sfile=event_list[j][1]
-            slave_event_id=event_list[j][0]
-            slave_wavefiles=Sfile_util.readwavename(slave_sfile)
-            try:
-                slavestream=read(wavbase+'/*/*/'+slave_wavefiles[0])
-            except:
-                raise IOError('No wavefile found: '+slave_wavefiles[0]+' '+slave_sfile)
-            if len(slave_wavefiles)>1:
-                for wavefile in slave_wavefiles:
-                    slavestream+=read(wavbase+'/*/*/'+wavefile)
-            # Write out the header line
-            event_text='#'+str(master_event_id).rjust(10)+\
-                    str(slave_event_id).rjust(10)+' 0.0   \n'
-            slave_picks=Sfile_util.readpicks(slave_sfile)
-            slave_ori_time=Sfile_util.readheader(slave_sfile).time
-            slave_location=(Sfile_util.readheader(slave_sfile).latitude,\
-                         Sfile_util.readheader(slave_sfile).longitude,\
-                         Sfile_util.readheader(slave_sfile).depth)
-            if dist_calc(master_location, slave_location) > max_sep:
-                break
-            links=0
-            phases=0
-            for pick in master_picks:
-                if pick.phase not in ['P','S']:
-                    continue # Only use P and S picks, not amplitude or 'other'
-                # Find station, phase pairs
-                slave_matches=[p for p in slave_picks if p.station==pick.station\
-                               and p.phase==pick.phase]
-                if masterstream.select(station=pick.station, \
-                                       channel='*'+pick.channel[-1]):
-                    mastertr=masterstream.select(station=pick.station, \
-                                                 channel='*'+pick.channel[-1])[0]
-                else:
-                    print 'No waveform data for '+pick.station+'.'+pick.channel
-                    print pick.station+'.'+pick.channel+' '+slave_sfile+' '+master_sfile
-                    break
-                # Loop through the matches
-                for slave_pick in slave_matches:
-                    if slavestream.select(station=slave_pick.station,\
-                                          channel='*'+slave_pick.channel[-1]):
-                        slavetr=slavestream.select(station=slave_pick.station,\
-                                               channel='*'+slave_pick.channel[-1])[0]
-                    else:
-                        print 'No slave data for '+slave_pick.station+'.'+\
-                                slave_pick.channel
-                        print pick.station+'.'+pick.channel+' '+slave_sfile+' '+master_sfile
-                        break
-                    # Correct the picks
-                    try:
-                        correction, cc = xcorrPickCorrection(pick.time, mastertr,\
-                                                             slave_pick.time,\
-                                                             slavetr,pre_pick,\
-                                                             extract_len-pre_pick, shift_len,\
-                                                             filter="bandpass",\
-                                                             filter_options={'freqmin':lowcut,
-                                                                             'freqmax':highcut},plot=False)
-                        # Get the differntial travel time using the corrected time.
-
-                        dt=(pick.time-master_ori_time)-\
-                                (slave_pick.time+correction-slave_ori_time)
-                        links+=1
-                        if cc*cc >= coh_thresh:
-                            phases+=1
-                            #added by Caro
-                            event_text+=pick.station.ljust(4)+\
-                                    _cc_round(correction,3).rjust(11)+\
-                                    _cc_round(cc,3).rjust(8)+\
-                                    ' '+pick.phase+'\n'
-                            # links+=1
-                        corr_list.append(cc*cc)
-                    except: # Should warn here
-                        warnings.warn("Couldn't compute correlation correction")
-                        continue
-            if links >= min_link and phases > 0:
-                f.write(event_text)
-    plt.hist(corr_list, 150)
-    plt.show()
-    # f.write('\n')
-    f.close()
-    f2.close()
-    return

-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/clustering.html b/_modules/clustering.html deleted file mode 100644 index 8c1fc8dd2..000000000 --- a/_modules/clustering.html +++ /dev/null @@ -1,835 +0,0 @@ - - - - - - - - - - clustering — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for clustering

-#!/usr/bin/python
-"""
-Functions to cluster seismograms by a range of constraints.
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-
-# I want to make sure that the lags for those that I cluster are similar as well
-# as making sure that they are similarly correlated - will cluster based on
-# cross-channel correlation sum
-import numpy as np
-import warnings
-
-
[docs]def cross_chan_coherence(st1, st2, i=0):
-    """
-    Function to determine the cross-channel coherancy between two streams of
-    multichannel seismic data.
-
-    :type st1: obspy Stream
-    :param st1: Stream one
-    :type st2: obspy Stream
-    :param st2: Stream two
-    :type i: int
-    :param i: index used for parallel async processing, returned unaltered
-
-    :returns: cross channel coherence, float - normalized by number of channels,
-        if i, returns tuple of (cccoh, i) where i is int, as intput.
-    """
-    from eqcorrscan.core.match_filter import normxcorr2
-    cccoh=0.0
-    kchan=0
-    for tr in st1:
-        tr1=tr.data
-        # Assume you only have one waveform for each channel
-        tr2=st2.select(station=tr.stats.station, \
-                       channel=tr.stats.channel)
-        if tr2:
-            cccoh+=normxcorr2(tr1,tr2[0].data)[0][0]
-            kchan+=1
-    if kchan:
-        cccoh=cccoh/kchan
-        return (cccoh, i)
-    else:
-        warnings.warn('No matching channels')
-        return (0, i)
-

-
[docs]def distance_matrix(stream_list, cores=1):
-    """
-    Function to compute the distance matrix for all templates - will give
-    distance as 1-abs(cccoh), e.g. a well correlated pair of templates will
-    have small distances, and an equally well correlated reverse image will
-    have the same distance as apositively correlated image - this is an issue
-
-    :type stream_list: List of obspy.Streams
-    :param tream_list: List of the streams to compute the distance matrix for
-    :type core: int
-    :param cores: Number of cores to parallel process using, defaults to 1.
-
-    :returns: ndarray - distance matrix
-    """
-    from multiprocessing import Pool
-
-    # Initialize square matrix
-    dist_mat=np.array([np.array([0.0]*len(stream_list))]*len(stream_list))
-
-    for i, master in enumerate(stream_list):
-        # Start a parallel processing pool
-        pool=Pool(processes=cores)
-        # Parallel processing
-        results=[pool.apply_async(cross_chan_coherence, args=(master,\
-                                                        stream_list[j], j))\
-                            for j in range(len(stream_list))]
-        pool.close()
-        # Extract the results when they are done
-        dist_list=[p.get() for p in results]
-        # Close and join all the processes back to the master process
-        pool.join()
-        # Sort the results by the input j
-        dist_list.sort(key=lambda tup:tup[1])
-        # Sort the list into the dist_mat structure
-        for j in range(i,len(stream_list)):
-            if i==j:
-                dist_mat[i,j]=0.0
-            else:
-                dist_mat[i,j]=1-dist_list[j][0]
-    # Reshape the distance matrix
-    for i in range(1,len(stream_list)):
-        for j in range(i):
-            dist_mat[i,j]=dist_mat.T[i,j]
-    return dist_mat
-

-
[docs]def cluster(stream_list, show=True, corr_thresh=0.3, save_corrmat=False,\
-        cores='all', debug=1):
-    """
-    Function to take a set of templates and cluster them, will return groups as
-    lists of streams.  Clustering is done by computing the cross-channel
-    correlation sum of each stream in stream_list with every other stream in
-    the list.  Scipy.cluster.hierachy functions are then used to compute the
-    complete distance matrix, where distance is 1 minus the normalised
-    cross-correlation sum such that larger distances are less similar events.
-    Groups are then created by clustering the distance matrix at distances
-    less than 1 - corr_thresh.
-
-    Will compute the distance matrix in parallel, using all available cores
-
-    :type stream_list: List of Obspy.Stream
-    :param stream_list: List of templates to compute clustering for
-    :type show: bool
-    :param show: plot linkage on screen if True, defaults to True
-    :type corr_thresh: float
-    :param corr_thresh: Cross-channel correlation threshold for grouping
-    :type save_corrmat: bool
-    :param save_corrmat: If True will save the distance matrix to dist_mat.npy
-    :type cores: int
-    :param cores: numebr of cores to use when computing the distance matrix,\
-            defaults to 'all' which will work out how many cpus are available\
-            and hog them.
-    :type debug: int
-    :param debug: Level of debugging from 1-5, higher is more output, currently\
-        only level 1 implimented.
-
-    :returns: List of groups with each group a list of streams making up\
-        that group.
-    """
-    from scipy.spatial.distance import squareform
-    from scipy.cluster.hierarchy import linkage, dendrogram, fcluster
-    import matplotlib.pyplot as plt
-    from multiprocessing import cpu_count
-    if cores=='all':
-        num_cores=cpu_count()
-    else:
-        num_cores=cores
-    # Compute the distance matrix
-    if debug >= 1:
-        print 'Computing the distance matrix using '+str(num_cores)+' cores'
-    dist_mat=distance_matrix(stream_list, cores=num_cores)
-    if save_corrmat:
-        np.save('dist_mat.npy', dist_mat)
-        if debug >= 1:
-            print 'Saved the distance matrix as dist_mat.npy'
-    dist_vec=squareform(dist_mat)
-    # plt.matshow(dist_mat, aspect='auto', origin='lower', cmap=pylab.cm.YlGnB)
-    if debug >= 1:
-        print 'Computing linkage'
-    Z = linkage(dist_vec)
-    if show:
-        if debug >= 1:
-            print 'Plotting the dendrogram'
-        D = dendrogram(Z, color_threshold = 1 - corr_thresh,\
-            distance_sort='ascending')
-        plt.show()
-    # Get the indeces of the groups
-    if debug >= 1:
-        print 'Clustering'
-    indeces = fcluster(Z, 1 - corr_thresh, 'distance')
-    group_ids=list(set(indeces)) # Unique list of group ids
-    if debug >= 1:
-        print 'Found '+str(len(group_ids))+' groups'
-    # Convert to tuple of (group id, stream id)
-    indeces=[(indeces[i], i) for i in xrange(len(indeces))]
-    # Sort by group id
-    indeces.sort(key=lambda tup:tup[0])
-    groups=[]
-    if debug >= 1:
-        print 'Extracting and grouping'
-    for group_id in group_ids:
-        group=[]
-        for ind in indeces:
-            if ind[0] == group_id:
-                group.append(stream_list[ind[1]])
-            elif ind[0] > group_id:
-                # Because we have sorted by group id, when the index is greater
-                # than the group_id we can break the inner loop.
-                # Patch applied by CJC 05/11/2015
-                groups.append(group)
-                break
-    return groups
-

-
[docs]def group_delays(stream_list):
-    """
-    Function to group template waveforms according to their delays
-
-    :type stream_list: List of obspy.Stream
-    :param stream_list: List of the waveforms you want to group
-
-    :returns: List of List of obspy.Streams where each initial list is a group\
-            with the same delays
-    """
-    groups=[]
-    group_delays=[]
-    group_chans=[]
-    # Sort templates by number of channels
-    stream_list=[(st, len(st)) for st in stream_list]
-    stream_list.sort(key=lambda tup:tup[1])
-    stream_list=[st[0] for st in stream_list]
-    for i in xrange(1,len(stream_list)):
-        print 'Working on waveform '+str(i)+' of '+str(len(stream_list))
-        # Calculate the delays
-        starttimes=[]
-        chans=[]
-        for tr in stream_list[i]:
-            starttimes.append(tr.stats.starttime)
-            chans.append((tr.stats.station, tr.stats.channel))
-        # This delays calculation will be an issue if we have changes in channels
-        delays=[starttimes[m]-min(starttimes) for m in xrange(len(starttimes))]
-        delays=[round(d,2) for d in delays]
-        if len(groups)==0:
-            groups.append([stream_list[i]])
-            group_delays.append(delays)
-            group_chans.append(chans)
-        else:
-            j=0
-            match=False
-            while not match:
-                kmatch=0
-                # Find the set of shared stations and channels
-                shared_chans=[]
-                shared_delays_slave=[]
-                shared_delays_master=[]
-                k=0
-                for chan in chans:
-                    if chan in group_chans[j]:
-                        shared_chans.append(chan)
-                        shared_delays_slave.append(delays[k])
-                        shared_delays_master.append(group_delays[j][group_chans[j].index(chan)])
-                    k+=1
-                # Normalize master and slave delay times
-                shared_delays_slave=[delay-min(shared_delays_slave)\
-                                     for delay in shared_delays_slave]
-                shared_delays_master=[delay-min(shared_delays_master)\
-                                      for delay in shared_delays_master]
-                for k in xrange(len(shared_chans)):
-                    # Check if the channel and delay match another group
-                    if shared_delays_slave[k]==shared_delays_master[k]:
-                        kmatch+=1 # increase the match index
-                if kmatch==len(shared_chans): # If all the channels match, add it to the group
-                    groups[j].append(stream_list[i])
-                    match=True
-                elif j<len(groups)-1:
-                    j+=1
-                else:
-                    # Create a new group and break the loop
-                    groups.append([stream_list[i]])
-                    group_delays.append(delays)
-                    group_chans.append(chans)
-                    match=True # Use this to break the loop
-    return groups
-

-
[docs]def SVD(stream_list):
-    """
-    Function to compute the SVD of a number of templates and return the singular
-    vectors and singular values of the templates.
-
-    :type stream_list: List of Obspy.Stream
-    :param stream_list: List of the templates to be analysed
-
-    :return: SVector(list of ndarray), SValues(list) for each channel, \
-            Uvalues(list of ndarray) for each channel, \
-            stachans, List of String (station.channel)
-
-    .. rubric:: Note
-
-    It is recommended that you align the data before computing the SVD, e.g.,
-    the P-arrival on all templates for the same channel should appear at the same
-    time in the trace.
-    """
-    # Convert templates into ndarrays for each channel
-    # First find all unique channels:
-    stachans=[]
-    for st in stream_list:
-        for tr in st:
-            stachans.append(tr.stats.station+'.'+tr.stats.channel)
-    stachans=list(set(stachans))
-    # Initialize a list for the output matrices, one matrix per-channel
-    SValues=[]
-    SVectors=[]
-    Uvectors=[]
-    for stachan in stachans:
-        chan_mat=[stream_list[i].select(station=stachan.split('.')[0], \
-                                  channel=stachan.split('.')[1])[0].data \
-                  for i in range(len(stream_list)) if \
-                  len(stream_list[i].select(station=stachan.split('.')[0], \
-                                  channel=stachan.split('.')[1])) != 0]
-        # chan_mat=[chan_mat[i]/np.max(chan_mat[i]) for i in xrange(len(chan_mat))]
-        chan_mat=np.asarray(chan_mat)
-        print chan_mat.shape
-        U, s, V = np.linalg.svd(chan_mat, full_matrices=False)
-        SValues.append(s)
-        SVectors.append(V)
-        Uvectors.append(U)
-    return SVectors, SValues, Uvectors, stachans
-

-
[docs]def empirical_SVD(stream_list, linear=True):
-    """
-    Empirical subspace detector generation function.  Takes a list of templates
-    and computes the stack as the first order subspace detector, and the
-    differential of this as the second order subspace detector following
-    the emprical subspace method of Barrett & Beroza, 2014 - SRL.
-
-    :type stream_list: list of stream
-    :param stream_list: list of template streams to compute the subspace detectors\
-        from
-    :type linear: Bool
-    :param linear: Set to true by default to compute the linear stack as the\
-        first subspace vector, False will use the phase-weighted stack as the\
-        first subspace vector.
-
-    :returns: list of two streams
-    """
-    from eqcorrscan.utils import stacking
-    if linear:
-        first_subspace=stacking.linstack(stream_list)
-    second_subspace=first_subspace.copy()
-    for i in range(len(second_subspace)):
-        second_subspace[i].data=np.diff(second_subspace[i].data)
-        second_subspace[i].stats.starttime+=0.5*second_subspace[i].stats.delta
-    return [first_subspace, second_subspace]
-

-
[docs]def SVD_2_stream(SVectors, stachans, k, sampling_rate):
-    """
-    Function to convert the singular vectors output by SVD to streams, one for
-    each singular vector level, for all channels.
-
-    :type SVectors: List of np.ndarray
-    :param SVectors: Singular vectors
-    :type stachans: List of Strings
-    :param stachans: List of station.channel Strings
-    :type k: int
-    :param k: Number of streams to return = number of SV's to include
-    :type sampling_rate: float
-    :param sampling_rate: Sampling rate in Hz
-
-    :returns: SVstreams, List of Obspy.Stream, with SVStreams[0] being
-            composed of the highest rank singular vectors.
-    """
-    from obspy import Stream, Trace
-    SVstreams=[]
-    for i in range(k):
-        SVstream=[]
-        for j, stachan in enumerate(stachans):
-            SVstream.append(Trace(SVectors[j][i], \
-                                    header={'station': stachan.split('.')[0],
-                                            'channel': stachan.split('.')[1],
-                                            'sampling_rate': sampling_rate}))
-
-        SVstreams.append(Stream(SVstream))
-    return SVstreams
-

-
[docs]def corr_cluster(trace_list, thresh=0.9):
-    """
-    Group traces based on correlations above threshold with the stack - will
-    run twice, once with a lower threshold, then again with your threshold to
-    remove large outliers
-
-    :type trace_list: List of :class:obspy.Trace
-    :param trace_list: Traces to compute similarity between
-    :type thresh: float
-    :param thrsh: Correlation threshold between -1-1
-
-    :returns: np.ndarray of bool
-    """
-    from eqcorrscan.utils import stacking
-    from obspy import Stream
-    from core.match_filter import normxcorr2
-    stack=stacking.linstack([Stream(tr) for tr in trace_list])[0]
-    output=np.array([False]*len(trace_list))
-    group1=[]
-    for i, tr in enumerate(trace_list):
-        if normxcorr2(tr.data,stack.data)[0][0] > 0.6:
-            output[i]=True
-            group1.append(tr)
-    stack=stacking.linstack([Stream(tr) for tr in group1])[0]
-    group2=[]
-    for i, tr in enumerate(trace_list):
-        if normxcorr2(tr.data,stack.data)[0][0] > thresh:
-            group2.append(tr)
-            output[i]=True
-        else:
-            output[i]=False
-    return output
-

-
[docs]def extract_detections(detections, templates, contbase_list, extract_len=90.0, \
-                        outdir=None, extract_Z=True, additional_stations=[]):
-    """
-    Function to extract the waveforms associated with each detection in a list
-    of detections for the template, template.  Waveforms will be returned as
-    a list of obspy.Streams containing segments of extract_len.  They will also
-    be saved if outdir is set.  The default is unset.  The default extract_len
-    is 90 seconds per channel.
-
-    :type detections: List tuple of of :class: datetime.datetime, string
-    :param detections: List of datetime objects, and their associated template\
-            name
-    :type templates: List of tuple of string and :class: obspy.Stream
-    :param templates: A list of the tuples of the template name and the template\
-            Stream used to detect detections.
-    :type contbase_list: List of tuple of string
-    :param contbase_list: List of tuples of the form ['path', 'type', 'network']\
-                    Where path is the path to the continuous database, type is\
-                    the directory structure, which can be either Yyyyy/Rjjj.01,\
-                    which is the standard IRIS Year, julian day structure, or,\
-                    yyyymmdd which is a single directory for every day.
-    :type extract_len: float
-    :param extract_len: Length to extract around the detection (will be equally\
-            cut around the detection time) in seconds.  Default is 90.0.
-    :type outdir: Bool or String
-    :param outdir: Default is None, with None set, no files will be saved,\
-            if set each detection will be saved into this directory with files\
-            named according to the detection time, NOT than the waveform\
-            start time. Detections will be saved into template subdirectories.
-    :type extract_Z: Bool
-    :param extract_Z: Set to True to also extract Z channels for detections\
-            delays will be the same as horizontal channels, only applies if\
-            only horizontal channels were used in the template.
-    :type additional_stations: List of tuple
-    :param additional_stations: List of stations, chanels and networks to also\
-            extract data for using an average delay.
-
-    :returns: List of :class: obspy.Stream
-    """
-    from obspy import read, UTCDateTime, Stream
-    from eqcorrscan.utils import pre_processing
-    import datetime as dt
-    import os
-    from joblib import Parallel, delayed
-    # Sort the template according to starttimes, needed so that stachan[i]
-    # corresponds to delays[i]
-    all_delays=[] # List of tuples of template name, delays
-    all_stachans=[]
-    for template in templates:
-        templatestream=template[1].sort(['starttime'])
-        stachans=[(tr.stats.station,tr.stats.channel,tr.stats.network) \
-                  for tr in templatestream]
-        mintime=templatestream[0].stats.starttime
-        delays=[tr.stats.starttime-mintime for tr in templatestream]
-        all_delays.append((template[0], delays))
-        all_stachans.append((template[0], stachans))
-    # Sort the detections and group by day
-    detections.sort()
-    detection_days=[detection[0].date() for detection in detections]
-    detection_days=list(set(detection_days))
-    detection_days.sort()
-
-    # Initialize output list
-    detection_wavefiles=[]
-
-    # Also include Z channels when extracting detections
-    if extract_Z:
-        new_all_stachans=[]
-        new_all_delays=[]
-        t=0
-        for template in all_stachans:
-            stachans=template[1]
-            delays=all_delays[t][1]
-            new_stachans=[]
-            new_delays=[]
-            j=0
-            for i, stachan in enumerate(stachans):
-                if j==1:
-                    new_stachans.append((stachan[0], stachan[1][0]+'Z',\
-                                         stachan[2]))
-                    new_delays.append(delays[i])
-                    new_stachans.append(stachan)
-                    new_delays.append(delays[i])
-                    j=0
-                else:
-                    new_stachans.append(stachan)
-                    new_delays.append(delays[i])
-                    j+=1
-            new_all_stachans.append((template[0], new_stachans))
-            new_all_delays.append((template[0], new_delays))
-            t+=1
-        all_delays=new_all_delays
-        all_stachans=new_all_stachans
-    if not len(additional_stations)==0:
-        t=0
-        for template in all_stachans:
-            av_delay=np.mean(all_delays[t][1])
-            for sta in additional_stations:
-                if not sta in template[1]:
-                    template[1].append(sta)
-                    all_delays[t][1].append(av_delay)
-            t+=1
-
-    # Loop through the days
-    for detection_day in detection_days:
-        print 'Working on detections for day: '+str(detection_day)
-        stachans=list(set([stachans[1] for stachans in all_stachans][0]))
-        # List of all unique stachans - read in all data
-        for stachan in stachans:
-            contbase=[base for base in contbase_list\
-                      if base[2]==stachan[2]][0]
-            if contbase[1]=='yyyymmdd':
-                dayfile=detection_day.strftime('%Y%m%d')+'/*'+stachan[0]+\
-                        '.'+stachan[1][0]+'?'+stachan[1][-1]+'.*'
-            elif contbase[1]=='Yyyyy/Rjjj.01':
-                dayfile=detection_day.strftime('Y%Y/R%j.01')+'/'+stachan[0]+\
-                        '.*.'+stachan[1][0]+'?'+stachan[1][-1]+'.'+detection_day.strftime('%Y.%j')
-            if not 'st' in locals():
-                try:
-                    st=read(contbase[0]+'/'+dayfile)
-                except:
-                    print 'No data for '+contbase[0]+'/'+dayfile
-            else:
-                try:
-                    st+=read(contbase[0]+'/'+dayfile)
-                except:
-                    print 'No data for '+contbase[0]+'/'+dayfile
-        st.merge(fill_value='interpolate')
-        # We now have a stream of day long data, we should process it!
-        # st=Parallel(n_jobs=3)(delayed(pre_processing.dayproc)(tr, lowcut,\
-                                                               # highcut,\
-                                                               # filter_order,\
-                                                               # samp_rate,\
-                                                               # debug, detection_day)\
-                                # for tr in st)
-        # st=Stream(st)
-        # for tr in st:
-            # Convert to int32 for STEIM2 format
-            # tr.data=tr.data.astype(np.int32)
-
-        day_detections=[detection for detection in detections\
-                        if detection[0].date() == detection_day]
-        for detection in day_detections:
-            template=detection[1]
-            t_stachans=[stachans[1] for stachans in all_stachans \
-                      if stachans[0] == template][0]
-            t_delays=[delays[1] for delays in all_delays\
-                    if delays[0] == template][0]
-            print 'Cutting for detections at: '+detection[0].strftime('%Y/%m/%d %H:%M:%S')
-            detect_wav=st.copy()
-            for tr in detect_wav:
-                tr.trim(starttime=UTCDateTime(detection[0])-extract_len/2,\
-                            endtime=UTCDateTime(detection[0])+extract_len/2)
-            if outdir:
-                if not os.path.isdir(outdir+'/'+template):
-                    os.makedirs(outdir+'/'+template)
-                detect_wav.write(outdir+'/'+template+'/'+\
-                                  detection[0].strftime('%Y-%m-%d_%H-%M-%S')+\
-                                  '.ms', format='MSEED', encoding='STEIM2')
-                                  # '.ms', format='MSEED', encoding='STEIM2')
-                print 'Written file: '+outdir+'/'+template+'/'+\
-                         detection[0].strftime('%Y-%m-%d_%H-%M-%S')+'.ms'
-            if not outdir:
-                detection_wavefiles.append(detect_wav)
-            del detect_wav
-        del st
-        if outdir:
-            detection_wavefiles=[]
-    if not outdir:
-        return detection_wavefiles
-    else:
-        return
-

-
[docs]def space_time_cluster(detections, t_thresh, d_thresh):
-    """
-    Function to cluster detections in space and time, use to seperate repeaters
-    from other events
-
-    :type detections: List
-    :param detections: List of tuple of tuple of location (lat, lon, depth (km)),\
-            and time as a datetime object
-    :type t_thresh: float
-    :param t_thresh: Maximum inter-event time threshold in seconds
-    :type d_thresh: float
-    :param d_thresh: Maximum inter-event distance in km
-
-    :returns: List of tuple (detections, clustered) and list of indeces of\
-            clustered detections
-    """
-    from eqcorrscan.utils.mag_calc import dist_calc
-    import datetime as dt
-    # Ensure they are sorted by time first, not that we need it.
-    detections.sort(key=lambda tup:tup[1])
-    clustered=[]
-    clustered_indeces=[]
-    for master_ind, master in enumerate(detections):
-        keep=False
-        for slave in detections:
-            if not master==slave and\
-               abs((master[1] - slave[1]).total_seconds()) <= t_thresh and \
-               dist_calc(master[0], slave[0]) <= d_thresh:
-                # If the slave events is close in time and space to the master
-                # keep it and break out of the loop.
-                keep=True
-                break
-        if keep:
-            clustered.append(master)
-            clustered_indeces.append(master_ind)
-
-    return clustered, clustered_indeces
-

-
[docs]def re_thresh_csv(path, old_thresh, new_thresh, chan_thresh):
-    """
-    Function to remove detections by changing the threshold, can only be done
-    to remove detection by increasing threshold, threshold lowering will have
-    no affect.
-
-    :type path: Str
-    :param path: Path to the .csv detection file
-    :type old_thresh: float
-    :param old_thresh: Old threshold MAD multiplier
-    :type new_thresh: float
-    :param new_thresh: New threhsold MAD multiplier
-    :type chan_thresh: int
-    :param chan_thresh: Minimum number of channels for a detection
-
-    returns: List of detections
-    """
-    f=open(path,'r')
-    old_thresh=float(old_thresh)
-    new_thresh=float(new_thresh)
-    # Be nice, ensure that the thresholds are float
-    detections=[]
-    detections_in=0
-    detections_out=0
-    for line in f:
-        if not line.split(', ')[0]=='template' and len(line) >2:
-            detections_in+=1
-            if abs(float(line.split(', ')[3])) >=\
-               (new_thresh/old_thresh)*float(line.split(', ')[2]) and\
-               int(line.split(', ')[4]) >= chan_thresh:
-                detections_out+=1
-                detections.append(line.split(', '))
-    print 'Read in '+str(detections_in)+' detections'
-    print 'Left with '+str(detections_out)+' detections'
-    return detections

-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/findpeaks.html b/_modules/findpeaks.html deleted file mode 100644 index c4dcb8911..000000000 --- a/_modules/findpeaks.html +++ /dev/null @@ -1,513 +0,0 @@ - - - - - - - - - - findpeaks — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for findpeaks

-#!/usr/bin/python
-"""
-Function to find peaks in data above a certain threshold as part of the EQcorr
-package written by Calum Chamberlain of Victoria University of Wellington in
-early 2015.
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-from obspy import UTCDateTime
-import numpy as np
-
-
[docs]def is_prime(number):
-    """
-    Function to test primality of a number. Function lifted from online resource:
-        http://www.codeproject.com/Articles/691200/Primality-test-algorithms-Prime-test-The-fastest-w
-
-    This function is distributed under a seperate licence:
-        This article, along with any associated source code and files, is
-        licensed under The Code Project Open License (CPOL)
-
-    :type number: int
-    :param number: Integer to test for primality
-
-    :returns: bool
-    """
-    import random
-    ''' if number != 1 '''
-    if (number > 1):
-        ''' repeat the test few times '''
-        for time in range(3):
-            ''' Draw a RANDOM number in range of number ( Z_number )  '''
-            randomNumber = random.randint(2, number)-1
-            ''' Test if a^(n-1) = 1 mod n '''
-            if ( pow(randomNumber, number-1, number) != 1 ):
-                return False
-        return True
-    else:
-        ''' case number == 1 '''
-        return False
-

-
[docs]def find_peaks2(arr,thresh, trig_int, debug=0, maxwidth=10,\
-                starttime=UTCDateTime('1970-01-01'), samp_rate=1.0):
-    """
-    Function to determine peaks in an array of data using scipy find_peaks_cwt,
-    works fast in certain cases, but for match_filter cccsum peak finding,
-    find_peaks2_short works better.  Test it out and see which works best for
-    your application.
-
-    :type arr: ndarray
-    :param arr: 1-D numpy array is required
-    :type thresh: float
-    :param thresh: The threshold below which will be considered noise and peaks\
-    will not be found in.
-    :type trig_int: int
-    :param trig_int: The minimum difference in samples between triggers,\
-    if multiple peaks within this window this code will find the highest.
-    :type debug: int
-    :param debug: Optional, debug level 0-5
-    :type maxwidth: int
-    :param maxwidth: Maximum peak width to look for in samples
-
-    :return: peaks, locs: Lists of peak values and locations.
-
-    """
-    from scipy.signal import find_peaks_cwt
-    # Set everything below the threshold to zero
-    image=np.copy(arr)
-    image=np.abs(image)
-    image[image<thresh]=thresh
-    # We need to check if the number of samples in the image is prime, if it
-    # is this method will be really slow, so we add a pad to the end to make
-    # it not of prime length!
-    if is_prime(len(image)):
-        image=np.append(image, 0.0)
-        print 'Input array has a prime number of samples, appending a zero'
-        print len(image)
-    if len(image[image>thresh])==0:
-        print 'No values over threshold found'
-        return []
-    if debug > 0:
-        print 'Found '+str(len(image[image>thresh]))+' samples above the threshold'
-    initial_peaks=[]
-    peaks=[]
-    # Find the peaks
-    print 'Finding peaks'
-    peakinds = find_peaks_cwt(image, np.arange(1,maxwidth))
-    initial_peaks=[(image[peakind], peakind) for peakind in peakinds]
-    # Sort initial peaks according to amplitude
-    print 'sorting peaks'
-    peaks_sort=sorted(initial_peaks, key=lambda amplitude:amplitude[0],\
-                      reverse=True)
-    # Debugging
-    if debug>=4:
-        for peak in initial_peaks:
-            print peak
-    if initial_peaks:
-        peaks.append(peaks_sort[0]) # Definitely take the biggest peak
-        if debug > 3:
-            print 'Added the biggest peak of '+str(peaks[0][0])+' at sample '+\
-                    str(peaks[0][1])
-        if len(initial_peaks) > 1:
-            if debug>3:
-                print 'Multiple peaks found, checking them now to see if they overlap'
-            for next_peak in peaks_sort:#i in xrange(1,len(peaks_sort)): # Loop through the amplitude sorted peaks
-                # if the next highest amplitude peak is within trig_int of any
-                # peak already in peaks then we don't want it, else, add it
-                #next_peak=peaks_sort[i]
-                if debug>3:
-                    print next_peak
-                for peak in peaks:
-                    add=False # Use add as a switch for whether or not to append
-                    # next peak to peaks, if once gone through all the peaks
-                    # it is True, then we will add it, otherwise we won't!
-                    if abs(next_peak[1]-peak[1]) < trig_int:
-                        if debug>3:
-                            print 'Difference in time is '+str(next_peak[1]-peak[1])
-                            print 'Which is less than '+str(trig_int)
-                        add=False
-                        # Need to exit the loop here if false
-                        break
-                    else:
-                        add=True
-                if add:
-                    if debug>3:
-                        print 'Adding peak of '+str(next_peak[0])+' at sample '+\
-                                str(next_peak[1])
-                    peaks.append(next_peak)
-                elif debug >3:
-                    print 'I did not add peak of '+str(next_peak[0])+\
-                            ' at sample '+str(next_peak[1])
-
-        if debug >= 3:
-            from utils import EQcorrscan_plotting
-            EQcorrscan_plotting.peaks_plot(image, starttime, samp_rate, True, peaks,
-                                            'debug_output/peaks_'+\
-                                              str(starttime.year)+'-'+\
-                                              str(starttime.month)+'-'+\
-                                              str(starttime.day)+'.pdf')
-        peaks=sorted(peaks, key=lambda time:time[1], reverse=False)
-        return peaks
-    else:
-        print 'No peaks for you!'
-        return peaks
-

-
[docs]def find_peaks2_short(arr,thresh, trig_int, debug=0, \
-                starttime=UTCDateTime('1970-01-01'), samp_rate=1.0):
-    """
-    Function to determine peaks in an array of data above a certain threshold.
-    Uses a mask to remove data below threshold and finds peaks in what is left.
-
-    :type arr: ndarray
-    :param arr: 1-D numpy array is required
-    :type thresh: float
-    :param thresh: The threshold below which will be considered noise and peaks\
-    will not be found in.
-    :type trig_int: int
-    :param trig_int: The minimum difference in samples between triggers,\
-    if multiple peaks within this window this code will find the highest.
-    :type debug: int
-    :param debug: Optional, debug level 0-5
-
-    :return: peaks, locs: Lists of peak values and locations.
-
-    """
-    from scipy import ndimage
-    # Set everything below the threshold to zero
-    image=np.copy(arr)
-    image=np.abs(image)
-    image[image<thresh]=0
-    if len(image[image>thresh])==0:
-        print 'No values over threshold found'
-        return []
-    if debug > 0:
-        print 'Found '+str(len(image[image>thresh]))+' samples above the threshold'
-    initial_peaks=[]
-    peaks=[]
-    # Find the peaks
-    labeled_image, number_of_objects= ndimage.label(image)
-    peak_slices = ndimage.find_objects(labeled_image)
-    for peak_slice in peak_slices:
-        #print 'Width of peak='+str(peak_slice[0].stop-peak_slice[0].start)
-        window=arr[peak_slice[0].start:peak_slice[0].stop]
-        initial_peaks.append((max(window),peak_slice[0].start+np.argmax(window)))
-    # Sort initial peaks according to amplitude
-    peaks_sort=sorted(initial_peaks, key=lambda amplitude:amplitude[0],\
-                      reverse=True)
-    # Debugging
-    if debug>=4:
-        for peak in initial_peaks:
-            print peak
-    if initial_peaks:
-        peaks.append(peaks_sort[0]) # Definitely take the biggest peak
-        if debug > 3:
-            print 'Added the biggest peak of '+str(peaks[0][0])+' at sample '+\
-                    str(peaks[0][1])
-        if len(initial_peaks) > 1:
-            if debug>3:
-                print 'Multiple peaks found, checking them now to see if they overlap'
-            for next_peak in peaks_sort:#i in xrange(1,len(peaks_sort)): # Loop through the amplitude sorted peaks
-                # if the next highest amplitude peak is within trig_int of any
-                # peak already in peaks then we don't want it, else, add it
-                #next_peak=peaks_sort[i]
-                if debug>3:
-                    print next_peak
-                for peak in peaks:
-                    add=False # Use add as a switch for whether or not to append
-                    # next peak to peaks, if once gone through all the peaks
-                    # it is True, then we will add it, otherwise we won't!
-                    if abs(next_peak[1]-peak[1]) < trig_int:
-                        if debug>3:
-                            print 'Difference in time is '+str(next_peak[1]-peak[1])
-                            print 'Which is less than '+str(trig_int)
-                        add=False
-                        # Need to exit the loop here if false
-                        break
-                    else:
-                        add=True
-                if add:
-                    if debug>3:
-                        print 'Adding peak of '+str(next_peak[0])+' at sample '+\
-                                str(next_peak[1])
-                    peaks.append(next_peak)
-                elif debug >3:
-                    print 'I did not add peak of '+str(next_peak[0])+\
-                            ' at sample '+str(next_peak[1])
-
-        if debug >= 3:
-            from utils import EQcorrscan_plotting
-            EQcorrscan_plotting.peaks_plot(image, starttime, samp_rate, True, peaks,
-                                            'debug_output/peaks_'+\
-                                              str(starttime.year)+'-'+\
-                                              str(starttime.month)+'-'+\
-                                              str(starttime.day)+'.pdf')
-        peaks=sorted(peaks, key=lambda time:time[1], reverse=False)
-        return peaks
-    else:
-        print 'No peaks for you!'
-        return peaks
-

-
[docs]def find_peaks_dep(arr, thresh, trig_int, debug=0,\
-               starttime=UTCDateTime('1970-01-01'), samp_rate=1.0):
-    """
-    Function to determine peaks in an array of data above a certain threshold.
-
-    Depreciated peak-finding routine, very slow, but accurate.  If all else fails
-    this one should work.
-
-    :type arr: ndarray
-    :param arr: 1-D numpy array is required
-    :type thresh: float
-    :param thresh: The threshold below which will be considered noise and peaks\
-    will not be found in.
-    :type trig_int: int
-    :param trig_int: The minimum difference in samples between triggers,\
-    if multiple peaks within this window this code will find the highest.
-
-    :return: peaks, locs: Lists of peak values and locations.
-    """
-
-    # Perform some checks
-    if trig_int < 3:
-        import sys
-        print 'Trigger interval must be greater than two samples to find maxima'
-        sys.exit()
-    #from joblib import Parallel, delayed
-    # Will find peaks in the absolute then transfer these to the true values
-    sig=np.abs(arr)-thresh
-    true_peaks=[]
-    for i in xrange(int(trig_int),int(len(sig)-trig_int), int(trig_int)):
-        window=sig[i-trig_int:i+trig_int] # Define a moving window containing
-                                          # data from +/- the trigger iterval
-        peaks=[]
-        locs=[]
-        for j in xrange(1,len(window)-1):
-            # Find all turning points within the window
-            if window[j] > 0.0 and window[j] > window[j+1] and window[j] > window[j-1]:
-                peaks.append(window[j])
-                locs.append(i-trig_int+j)
-        # Find maximum peak in window
-        if peaks:
-            true_peaks.append((np.max(np.array(peaks)),\
-                               locs[np.argmax(np.array(peaks))]))
-    # Get unique values
-    peaks=sorted(list(set(true_peaks)), key=lambda loc: loc[1])
-    # Find highest peak in peaks within trig_int of each other
-    for i in xrange(1,len(peaks)-1):
-        if peaks[i+1][1]-peaks[i][1] < trig_int:
-            if peaks[i][0] < peaks[i+1][0]:
-                peaks[i]=peaks[i+1]
-            else:
-                peaks[i+1]=peaks[i]
-        elif peaks[i][1]-peaks[i-1][1] < trig_int:
-            if peaks[i][0] < peaks[i-1][0]:
-                peaks[i]=peaks[i-1]
-            else:
-                peaks[i-1]=peaks[i]
-    peaks=sorted(list(set(peaks)), key=lambda loc: loc[1])
-    if debug >= 3:
-        from utils import EQcorrscan_plotting
-        EQcorrscan_plotting.peaks_plot(arr, starttime, samp_rate, True, peaks,
-                                        'debug_output/peaks_'+\
-                                        str(starttime.year)+'-'+\
-                                        str(starttime.month)+'-'+\
-                                        str(starttime.day)+'.pdf')
-    return peaks

-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
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- -
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- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/index.html b/_modules/index.html deleted file mode 100644 index 38ea731ba..000000000 --- a/_modules/index.html +++ /dev/null @@ -1,201 +0,0 @@ - - - - - - - - - - Overview: module code — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
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-
    -
  • Docs »
    • - -
  • Overview: module code
    • -
  • - -
    • -
-
-
-
- -

All modules for which code is available

- - -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
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- -
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- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/lag_calc.html b/_modules/lag_calc.html deleted file mode 100644 index 1162c5c69..000000000 --- a/_modules/lag_calc.html +++ /dev/null @@ -1,383 +0,0 @@ - - - - - - - - - - lag_calc — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
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- -

Source code for lag_calc

-#!/usr/bin/python
-"""
-Functions to generate lag-times for events detected by correlation.
-
-Part of the EQcorrscan module to integrate seisan nordic files into a full
-cross-channel correlation for detection routine.
-EQcorrscan is a python module designed to run match filter routines for
-seismology, within it are routines for integration to seisan and obspy.
-With obspy integration (which is necessary) all main waveform formats can be
-read in and output.
-
-This main section contains a script, LFE_search.py which demonstrates the usage
-of the built in functions from template generation from picked waveforms
-through detection by match filter of continuous data to the generation of lag
-times to be used for relative locations.
-
-The match-filter routine described here was used a previous Matlab code for the
-Chamberlain et al. 2014 G-cubed publication.  The basis for the lag-time
-generation section is outlined in Hardebeck & Shelly 2011, GRL.
-
-Code generated by Calum John Chamberlain of Victoria University of Wellington,
-2015.
-
-
-.. rubric:: Note
-Pre-requisites:
-    - gcc             - for the installation of the openCV correlation routine
-    - python-cv2      - Python bindings for the openCV routines
-    - python-joblib   - used for parallel processing
-    - python-obspy    - used for lots of common seismological processing
-                        - requires:
-                            - numpy
-                            - scipy
-                            - matplotlib
-    - NonLinLoc       - used outside of all codes for travel-time generation
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-import numpy as np
-from match_filter import DETECTION, normxcorr2
-
-
[docs]def _channel_loop(detection, template, i=0):
-    """
-    Utility function to take a stream of data for the detected event and parse
-    the correct data to lag_gen
-
-    :type detection: obspy.Stream
-    :param detection: Stream of data for the slave event detected using template
-    :type template: obspy.Stream
-    :param template: Stream of data as the template for the detection.
-    :type i: int, optional
-    :param i: Used to track which process has occured when running in parallel
-
-    :returns: picks, a tuple of (lag in s, cross-correlation value, station, chan)
-    """
-    from eqcorrscan.utils.Sfile_util import PICK
-    picks=[]
-    for tr in template:
-        image=detection.select(station=tr.stats.station,\
-                                channel=tr.stats.channel)
-        if image: #Ideally this if statement would be removed.
-            ccc = normxcorr2(tr.data, image[0].data)
-            shiftlen = len(ccc)*image[0].stats.sample_rate
-            # Convert the maximum cross-correlation time to an actual time
-            picktime = image[0].stats.starttime+(np.argmax(ccc)*image[0].stats.delta)
-            picks.append(PICK())
-            ((lag, np.max(ccc), tr.stats.station, \
-                tr.stats.channel))
-    return (i, picks)
-

-
[docs]def day_loop(detection_streams, template):
-    """
-    Function to loop through multiple detections for one template - ostensibly
-    designed to run for the same day of data for I/O simplicity, but as you
-    are passing stream objects it could run for all the detections ever, as long
-    as you have the RAM!
-
-    :type detection_streams: List of obspy.Stream
-    :param detection_streams: List of all the detections for this template that you
-                    want to compute the optimum pick for.
-    :type template: obspy.Stream
-    :param template: The original template used to detect the detections passed
-
-    :returns: lags - List of List of tuple: lags[i] corresponds to detection[i],
-                lags[i][j] corresponds to a channel of detection[i], within
-                this tuple is the lag (in seconds), normalised correlation,
-                station and channel.
-    """
-    from multiprocessing import Pool, cpu_count # Used to run detections in parallel
-    lags=[]
-    num_cores=cpu_count()
-    if num_cores > len(detection_streams):
-        num_cores=len(detection_streams)
-    pool=Pool(processes=num_cores, maxtasksperchild=None)
-    results=[pool.apply_async(_channel_loop, args=(detection_streams[i], template, i))\
-                        for i in xrange(len(detection_streams))]
-    pool.close()
-    lags=[p.get() for p in results]
-    lags.sort(key=lambda tup: tup[0]) # Sort based on i
-    lags=[lag[1] for lag in lags]
-    # Convert lag time to moveout time
-    mintime=template.sort(['starttime'])[0].stats.starttime
-    for lag in lags:
-        delay=template.select(station=lag[2], channel=lag[3])[0].stats.starttime-\
-            mintime
-        lag[0]+=delay
-    return lags
-

-
[docs]def lag_calc(detections, detect_data, templates, shift_len=0.2, min_cc=0.4):
-    """
-    Overseer function to take a list of detection objects, cut the data for
-    them to lengths of the same length of the template + shift_len on
-    either side. This will then write out SEISAN s-file for the detections
-    with pick times based on the lag-times found at the maximum correlation,
-    providing that correlation is above the min_cc.
-
-    :type detections: List of DETECTION
-    :param detections: List of DETECTION objects
-    :type detect_data: obspy.Stream
-    :param detect_data: All the data needed to cut from - can be a gappy Stream
-    :type templates: List of tuple of String, obspy.Stream
-    :param templates: List of the templates used as tuples of template name, template
-    :type shift_len: float
-    :param shift_len: Shift length allowed for the pick in seconds, will be
-                    plus/minus this amount - default=0.2
-    :type min_cc: float
-    :param min_cc: Minimum cross-correlation value to be considered a pick,
-                    default=0.4
-    """
-    from eqcorrscan.utils import Sfile_util
-    from obspy import Stream
-    # First work out the delays for each template
-    delays=[] # List of tuples
-    for template in templates:
-        temp_delays=[]
-        for tr in tempate[1]:
-            temp_delays.append((tr.stats.station, tr.stats.channel,\
-                    tr.stats.starttime-template.sort['starttime'][0].stats.starttime))
-        delays.append((template[0], temp_delays))
-    detect_streams=[]
-    for detection in detections:
-        detect_stream=[]
-        for tr in detect_data:
-            tr_copy=tr.copy()
-            template=[t for t in templates if t[0]==detection.template_name][0]
-            template=template.select(station=tr.stats.station,
-                            channel=tr.stats.channel)
-            if template:
-                template_len=len(template[0])
-            else:
-                continue # If there is no template-data match then skip the rest
-                         # of the trace loop.
-            delay=[delay for delay in delays if delay[0]==detection.template_name][0]
-            delay=[d for d in delay if d[0]==tr.stats.station and \
-                    d[1]==tr.stats.channel][0]
-            detect_stream.append(tr_copy.trim(starttime=detection.detect_time-\
-                        shift_len+delay, endtime=detection.detect_time+delay+\
-                        shift_len+template_len))
-        detect_streams.append((detection.template_name, Stream(detect_stream)))
-        # Tuple of template name and data stream
-    # Segregate detections by template
-    lags=[]
-    for template in templates:
-        template_detections=[detect[1] for detect in detect_streams\
-                if detect[0]==template[0]]
-        lags.append(day_loop(template_detections, template[1]))
-
-    # Write out the lags!
-    for event in lags:
-        # I think I have an old version of Sfile_util here
-        sfilename=Sfile_util.blanksfile(wavefile, 'L', 'PYTH', 'out', True)
-        picks=[]
-        for pick in event:
-            picks.append(Sfile_util.PICK())
-        Sfile_util.populateSfile(sfilename, picks)

-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/mag_calc.html b/_modules/mag_calc.html deleted file mode 100644 index aa8cacaab..000000000 --- a/_modules/mag_calc.html +++ /dev/null @@ -1,917 +0,0 @@ - - - - - - - - - - mag_calc — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for mag_calc

-#!/usr/bin/python
-"""
-Functions to simulate Wood Anderson traces, pick maximum peak-to-peak amplitudes
-write these amplitudes and periods to SEISAN s-files and to calculate magnitudes
-from this and the informaiton within SEISAN s-files.
-
-Written as part of the EQcorrscan package by Calum Chamberlain - first written
-to impliment magnitudes for the 2015 Wanaka aftershock sequence, written up
-by Warren-Smith [2014/15].
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-import numpy as np
-import warnings
-
-
[docs]def dist_calc(loc1, loc2):
-    """
-    Function to calcualte the distance in km between two points, uses the flat
-    Earth approximation
-
-    :type loc1: Tuple
-    :param loc1: Tuple of lat, lon, depth (in decimal degrees and km)
-    :type loc2: Tuple
-    :param loc2: Tuple of lat, lon, depth (in decimal degrees and km)
-    """
-    R=6371.009  # Radius of the Earth in km
-    dlat=np.radians( abs( loc1[0] - loc2[0] ) )
-    dlong=np.radians( abs( loc1[1] - loc2[1] ) )
-    ddepth=abs( loc1[2] - loc2[2] )
-    mean_lat=np.radians( ( loc1[0] + loc2[0] ) / 2 )
-    dist=R*np.sqrt( dlat ** 2 + ( np.cos( mean_lat ) * dlong ) ** 2 )
-    dist=np.sqrt( dist ** 2 + ddepth ** 2 )
-    return dist
-

-
[docs]def _sim_WA(trace, PAZ, seedresp, water_level):
-    """
-    Function to remove the insturment response from a trace and return a
-    de-meaned, de-trended, Wood Anderson simulated trace in it's place.
-
-    Works in-place on data and will destroy your original data, copy the
-    trace before giving it to this function!
-
-    :type trace: obspy.Trace
-    :param trace: A standard obspy trace, generally should be given without
-                    pre-filtering, if given with pre-filtering for use with
-                    amplitude determiniation for magnitudes you will need to
-                    worry about how you cope with the response of this filter
-                    yourself.
-    :type PAZ: dict
-    :param PAZ: Dictionary containing lists of poles and zeros, the gain and
-                the sensitivity.
-    :type water_level: int
-    :param water_level: Water level for the simulation.
-
-    :returns: obspy.Trace
-    """
-    # Note Wood anderson sensitivity is 2080 as per Uhrhammer & Collins 1990
-    PAZ_WA={'poles': [-6.283 + 4.7124j, -6.283 - 4.7124j],
-                'zeros': [0 + 0j], 'gain': 1.0, 'sensitivity': 2080}
-    from obspy.signal import seisSim
-    # De-trend data
-    trace.detrend('simple')
-    # Simulate Wood Anderson
-    if PAZ:
-        trace.data=seisSim(trace.data, trace.stats.sampling_rate, paz_remove=PAZ,\
-                           paz_simulate=PAZ_WA, water_level=water_level,\
-                           remove_sensitivity=True)
-    elif seedresp:
-        trace.data=seisSim(trace.data, trace.stats.sampling_rate, paz_remove=None,\
-                           paz_simulate=PAZ_WA, water_level=water_level,\
-                           seedresp=seedresp)
-    else:
-        UserWarning('No response given to remove, will just simulate WA')
-        trace.data=seisSim(trace.data, trace.stats.samplng_rate, paz_remove=None,\
-                            water_level=water_level)
-    return trace
-

-
[docs]def _max_p2t(data, delta):
-    """
-    Function to find the maximum peak to trough amplitude and period of this
-    amplitude.  Originally designed to be used to calculate magnitudes (by
-    taking half of the peak-to-trough amplitude as the peak amplitude).
-
-    :type data: ndarray
-    :param data: waveform trace to find the peak-to-trough in.
-    :type delta: float
-    :param delta: Sampling interval in seconds
-
-    :returns: tuple of (amplitude, period, time) with amplitude in the same scale as
-            given in the input data, and period in seconds, and time in seconds
-            from the start of the data window.
-    """
-    import matplotlib.pyplot as plt
-    debug_plot=False
-    turning_points=[] # A list of tuples of (amplitude, sample)
-    for i in range(1,len(data)-1):
-        if (data[i] < data[i-1] and data[i] < data[i+1]) or\
-           (data[i] > data[i-1] and data[i] > data[i+1]):
-            turning_points.append((data[i], i))
-    if len(turning_points) >=1:
-        amplitudes=np.empty([len(turning_points)-1],)
-        half_periods= np.empty([len(turning_points)-1],)
-    else:
-        plt.plot(data)
-        plt.show()
-        print 'Turning points has length: '+str(len(turning_points))+\
-                         ' data have length: '+str(len(data))
-        return (0.0, 0.0, 0.0)
-    for i in range(1,len(turning_points)):
-        half_periods[i-1]=(delta*(turning_points[i][1]-turning_points[i-1][1]))
-        amplitudes[i-1]=np.abs(turning_points[i][0]-turning_points[i-1][0])
-    amplitude=np.max(amplitudes)
-    period=2*half_periods[np.argmax(amplitudes)]
-    if debug_plot:
-        plt.plot(data,'k')
-        plt.plot([turning_points[np.argmax(amplitudes)][1],\
-                  turning_points[np.argmax(amplitudes)-1][1]],\
-                 [turning_points[np.argmax(amplitudes)][0],\
-                  turning_points[np.argmax(amplitudes)-1][0]], 'r')
-        plt.show()
-    return (amplitude, period, delta*turning_points[np.argmax(amplitudes)][1])
-

-
[docs]def _GSE2_PAZ_read(GSEfile):
-    """
-    Function to read the instrument response information from a GSE Poles and
-    Zeros file as generated by the SEISAN program RESP.
-
-    Format must be CAL2, not coded for any other format at the moment, contact
-    the author to add others in.
-
-    :type GSEfile: Str
-    :param GSEfile: Path to GSE file
-
-    :returns: Dict of poles, zeros, gain and sensitivity
-    """
-    import datetime as dt
-    f=open(GSEfile)
-    # First line should start with CAL2
-    header=f.readline()
-    if not header[0:4] == 'CAL2':
-        raise IOError('Unknown format for GSE file, only coded for CAL2')
-    station=header.split()[1]
-    channel=header.split()[2]
-    sensor=header.split()[3]
-    date=dt.datetime.strptime(header.split()[7], '%Y/%m/%d')
-    header=f.readline()
-    if not header[0:4] == 'PAZ2':
-        raise IOError('Unknown format for GSE file, only coded for PAZ2')
-    gain=float(header.split()[3]) # Measured in nm/counts
-    kpoles=int(header.split()[4])
-    kzeros=int(header.split()[5])
-    poles=[]
-    for i in range(kpoles):
-        pole=f.readline()
-        poles.append(complex(float(pole.split()[0]),float(pole.split()[1])))
-    zeros=[]
-    for i in range(kzeros):
-        zero=f.readline()
-        zeros.append(complex(float(zero.split()[0]),float(zero.split()[1])))
-    # Have Poles and Zeros, but need Gain and Sensitivity
-    # Gain should be in the DIG2 line:
-    for line in f:
-        if line[0:4] == 'DIG2':
-            sensitivity=float(line.split()[2]) # measured in counts/muVolt
-    f.close()
-    PAZ={'poles': poles, 'zeros': zeros, 'gain': gain,
-         'sensitivity': sensitivity}
-    return PAZ, date, station, channel, sensor
-

-
[docs]def _find_resp(station, channel, network, time, delta, directory):
-    """
-    Helper function to find the response information for a given station and
-    channel at a given time and return a dictionary of poles and zeros, gain
-    and sensitivity.
-
-    :type station: String
-    :param station: Station name (as in the response files)
-    :type channel: String
-    :param channel: Channel name (as in the response files)
-    :type network: String
-    :param network: Network to scan for, can be a wildcard
-    :type time: datetime.datetime
-    :param time: Date-time to look for repsonse information
-    :type delta: float
-    :param delta: Sample interval in seconds
-    :type directory: String
-    :param directory: Directory to scan for response information
-
-    :returns: Dictionary
-    """
-    import glob
-    from obspy.signal.invsim import evalresp
-    from obspy import UTCDateTime
-    possible_respfiles=glob.glob(directory+'/RESP.'+network+'.'+station+'.*.'+\
-                                 channel) # GeoNet RESP naming
-    possible_respfiles+=glob.glob(directory+'/RESP.'+network+'.'+channel+'.'+\
-                                 station) # RDseed RESP naming
-    possible_respfiles+=glob.glob(directory+'/RESP.'+station+'.'+network)
-                                    # WIZARD resp naming
-    # GSE format, station needs to be 5 charectars padded with _, channel is 4
-    # characters padded with _
-    possible_respfiles+=glob.glob(directory+'/'+station.ljust(5,'_')+\
-                                  channel[0:len(channel)-1].ljust(3,'_')+\
-                                  channel[-1]+'.*_GSE')
-    PAZ=[]
-    seedresp=[]
-    for respfile in possible_respfiles:
-        print 'Reading response from: '+respfile
-        if respfile.split('/')[-1][0:4]=='RESP':
-            # Read from a resp file
-            seedresp={'filename': respfile, 'date': UTCDateTime(time),
-                      'units': 'DIS', 'network': network, 'station': station,
-                      'channel': channel, 'location': '*'}
-            try:
-                # Attempt to evaluate the response for this information, if not
-                # then this is not the correct response info!
-                freq_resp, freqs = evalresp(delta, 100, seedresp['filename'],
-                                            seedresp['date'],
-                                            units=seedresp['units'], freq=True,
-                                            network=seedresp['network'],
-                                            station=seedresp['station'],
-                                            channel=seedresp['channel'])
-            except:
-                print 'Issues with RESP file'
-                seedresp=[]
-                continue
-        elif respfile[-3:]=='GSE':
-            PAZ, pazdate, pazstation, pazchannel, pazsensor =\
-                    _GSE2_PAZ_read(respfile)
-            # check that the date is good!
-            if pazdate >= time and pazchannel != channel and\
-               pazstation != station:
-                print 'Issue with GSE file'
-                print 'date: '+str(pazdate)+' channel: '+pazchannel+\
-                        ' station: '+pazstation
-                PAZ=[]
-        else:
-            continue
-        # Check that PAZ are for the correct station, channel and date
-        if PAZ or seedresp:
-            break
-    if PAZ:
-        return PAZ
-    elif seedresp:
-        return seedresp
-

-
[docs]def _pairwise(iterable):
-    """
-    Wrapper on itertools for SVD_magnitude
-    """
-    import itertools
-    a, b = itertools.tee(iterable)
-    next(b, None)
-    return itertools.izip(a, b)
-

-
[docs]def Amp_pick_sfile(sfile, datapath, respdir, chans=['Z'], var_wintype=True, \
-                   winlen=0.9, pre_pick=0.2, pre_filt=True, lowcut=1.0,\
-                   highcut=20.0, corners=4):
-    """
-    Function to read information from a SEISAN s-file, load the data and the
-    picks, cut the data for the channels given around the S-window, simulate
-    a Wood Anderson seismometer, then pick the maximum peak-to-trough
-    amplitude.
-
-    Output will be put into a mag_calc.out file which will be in full S-file
-    format and can be copied to a REA database.
-
-    :type sfile: String
-    :type datapath: String
-    :param datapath: Path to the waveform files - usually the path to the WAV directory
-    :type respdir: String
-    :param respdir: Path to the response information directory
-    :type chans: List of strings
-    :param chans: List of the channels to pick on, defaults to ['Z'] - should
-                just be the orientations, e.g. Z,1,2,N,E
-    :type var_wintype: Bool
-    :param var_wintype: If True, the winlen will be
-                    multiplied by the P-S time if both P and S picks are
-                    available, otherwise it will be multiplied by the hypocentral
-                    distance*0.34 - dervided using a p-s ratio of 1.68 and
-                    S-velocity of 1.5km/s to give a large window, defaults to True
-    :type winlen: Float
-    :param winlen: Length of window, see above parameter, if var_wintype is False
-                    Then this will be in seconds, otherwise it is the multiplier
-                    to the p-s time, defaults to 0.5
-    :type pre_pick: Float
-    :param pre_pick: Time before the s-pick to start the cut window, defaults
-                    to 0.2
-    :type pre_filt: Bool
-    :param pre_filt: To apply a pre-filter or not, defaults to True
-    :type lowcut: Float
-    :param lowcut: Lowcut in Hz for the pre-filter, defaults to 1.0
-    :type highcut: Float
-    :param highcut: Highcut in Hz for the pre-filter, defaults to 20.0
-    :type corners: Int
-    :param corners: Number of corners to use in the pre-filter
-    """
-    # Hardwire a p-s multiplier of hypocentral distance based on p-s ratio of
-    # 1.68 and an S-velocity 0f 1.5km/s, deliberately chosen to be quite slow
-    ps_multiplier=0.34
-    from eqcorrscan.utils import Sfile_util
-    from obspy import read
-    from scipy.signal import iirfilter
-    from obspy.signal.invsim import paz2AmpValueOfFreqResp
-    import warnings
-    # First we need to work out what stations have what picks
-    picks=Sfile_util.readpicks(sfile)
-    # Convert these picks into a lists
-    stations=[] # List of stations
-    channels=[] # List of channels
-    picktimes=[] # List of pick times
-    picktypes=[] # List of pick types
-    distances=[] # List of hypocentral distances
-    picks_out=[]
-    for pick in picks:
-        if pick.phase in ['P','S']:
-            picks_out.append(pick) # Need to be able to remove this if there
-                                   # isn't data for a station!
-            stations.append(pick.station)
-            channels.append(pick.channel)
-            picktimes.append(pick.time)
-            picktypes.append(pick.phase)
-            distances.append(pick.distance)
-    # Read in waveforms
-    stream=read(datapath+'/'+Sfile_util.readwavename(sfile)[0])
-    if len(Sfile_util.readwavename(sfile)) > 1:
-        for wavfile in Sfile_util.readwavename(sfile):
-            stream+=read(datapath+'/'+wavfile)
-    stream.merge() # merge the data, just in case!
-    # For each station cut the window
-    uniq_stas=list(set(stations))
-    for sta in uniq_stas:
-        for chan in chans:
-            print 'Working on '+sta+' '+chan
-            tr=stream.select(station=sta, channel='*'+chan)
-            if not tr:
-                # Remove picks from file
-                # picks_out=[picks_out[i] for i in xrange(len(picks))\
-                           # if picks_out[i].station+picks_out[i].channel != \
-                           # sta+chan]
-            	warnings.warn('There is no station and channel match in the wavefile!')
-                break
-            else:
-                tr=tr[0]
-            # Apply the pre-filter
-            if pre_filt:
-                try:
-                    tr.detrend('simple')
-                except:
-                    dummy=tr.split()
-                    dummy.detrend('simple')
-                    tr=dummy.merge()[0]
-                tr.filter('bandpass',freqmin=lowcut, freqmax=highcut,\
-                             corners=corners)
-            sta_picks=[i for i in xrange(len(stations)) \
-                           if stations[i]==sta]
-            hypo_dist=picks[sta_picks[0]].distance
-            CAZ=picks[sta_picks[0]].CAZ
-            if var_wintype:
-                if 'S' in [picktypes[i] for i in sta_picks] and\
-                   'P' in [picktypes[i] for i in sta_picks]:
-                    # If there is an S-pick we can use this :D
-                    S_pick=[picktimes[i] for i in sta_picks \
-                            if picktypes[i]=='S']
-                    S_pick=min(S_pick)
-                    P_pick=[picktimes[i] for i in sta_picks \
-                            if picktypes[i]=='P']
-                    P_pick=min(P_pick)
-                    try:
-                    	tr.trim(starttime=S_pick-pre_pick, \
-                               endtime=S_pick+(S_pick-P_pick)*winlen)
-                    except:
-                    	break
-                elif 'S' in [picktypes[i] for i in sta_picks]:
-                    S_pick=[picktimes[i] for i in sta_picks \
-                            if picktypes[i]=='S']
-                    S_pick=min(S_pick)
-                    P_modelled=S_pick-hypo_dist*ps_multiplier
-                    try:
-                    	tr.trim(starttime=S_pick-pre_pick,\
-                            endtime=S_pick+(S_pick-P_modelled)*winlen)
-                    except:
-                    	break
-                else:
-                    # In this case we only have a P pick
-                    P_pick=[picktimes[i] for i in sta_picks \
-                            if picktypes[i]=='P']
-                    P_pick=min(P_pick)
-                    S_modelled=P_pick+hypo_dist*ps_multiplier
-                    try:
-                    	tr.trim(starttime=S_modelled-pre_pick,\
-                        	    endtime=S_modelled+(S_modelled-P_pick)*winlen)
-                    except:
-                    	break
-                # Work out the window length based on p-s time or distance
-            elif 'S' in [picktypes[i] for i in sta_picks]:
-                # If the window is fixed we still need to find the start time,
-                # which can be based either on the S-pick (this elif), or
-                # on the hypocentral distance and the P-pick
-
-                # Take the minimum S-pick time if more than one S-pick is available
-                S_pick=[picktimes[i] for i in sta_picks \
-                           if picktypes[i]=='S']
-                S_pick=min(S_pick)
-                try:
-                	tr.trim(starttime=S_pick-pre_pick, endtime=S_pick+winlen)
-                except:
-                	break
-            else:
-                # In this case, there is no S-pick and the window length is fixed
-                # We need to calculate an expected S_pick based on the hypocentral
-                # distance, this will be quite hand-wavey as we are not using
-                # any kind of velocity model.
-                P_pick=[picktimes[i] for i in sta_picks \
-                           if picktypes[i]=='P']
-                P_pick=min(P_pick)
-                hypo_dist=[distances[i] for i in sta_picks\
-                           if picktypes[i]=='P'][0]
-                S_modelled=P_pick+hypo_dist*ps_multiplier
-                try:
-                	tr.trim(starttime=S_modelled-pre_pick,\
-                    	       endtime=S_modelled+winlen)
-                except:
-        	       break
-            # Find the response information
-            resp_info=_find_resp(tr.stats.station, tr.stats.channel,\
-                           tr.stats.network, tr.stats.starttime, tr.stats.delta,\
-                                 respdir)
-            PAZ=[]
-            seedresp=[]
-            if resp_info and 'gain' in resp_info:
-                PAZ=resp_info
-            elif resp_info:
-                seedresp=resp_info
-            # Simulate a Wood Anderson Seismograph
-            if PAZ and len(tr.data) > 10: # Set ten data points to be the minimum to pass
-                tr=_sim_WA(tr, PAZ, None, 10)
-            elif seedresp and len(tr.data) > 10:
-                tr=_sim_WA(tr, None, seedresp, 10)
-            elif len(tr.data) > 10:
-                warnings.warn('No PAZ for '+tr.stats.station+' '+\
-                                 tr.stats.channel+' at time: '+\
-                                 str(tr.stats.starttime))
-                continue
-            if len(tr.data) <= 10:
-                # Should remove the P and S picks if len(tr.data)==0
-                warnings.warn('No data found for: '+tr.stats.station)
-                # print 'No data in miniseed file for '+tr.stats.station+\
-                              # ' removing picks'
-                # picks_out=[picks_out[i] for i in xrange(len(picks_out))\
-                           # if i not in sta_picks]
-            	break
-            # Get the amplitude
-            amplitude, period, delay= _max_p2t(tr.data, tr.stats.delta)
-            if amplitude==0.0:
-                break
-            print 'Amplitude picked: '+str(amplitude)
-            # Note, amplitude should be in meters at the moment!
-            # Remove the pre-filter response
-            if pre_filt:
-                # Generate poles and zeros for the filter we used earlier - this
-                # is how the filter is designed in the convenience methods of
-                # filtering in obspy.
-                z, p, k=iirfilter(corners, [lowcut/(0.5*tr.stats.sampling_rate),\
-                                            highcut/(0.5*tr.stats.sampling_rate)],\
-                                  btype='band', ftype='butter', output='zpk')
-                filt_paz={'poles': list(p),
-                          'zeros': list(z),
-                          'gain': k,
-                          'sensitivity':  1.0}
-                amplitude /= (paz2AmpValueOfFreqResp(filt_paz, 1/period) * \
-                              filt_paz['sensitivity'])
-            # Convert amplitude to mm
-            if PAZ: # Divide by Gain to get to nm (returns pm? 10^-12)
-                # amplitude *=PAZ['gain']
-                amplitude /= 1000
-            if seedresp: # Seedresp method returns mm
-                amplitude *= 1000000
-            # Write out the half amplitude, approximately the peak amplitude as
-            # used directly in magnitude calculations
-            # Page 343 of Seisan manual:
-            #   Amplitude (Zero-Peak) in units of nm, nm/s, nm/s^2 or counts
-            amplitude *= 0.5
-            # Generate a PICK type object for this pick
-            picks_out.append(Sfile_util.PICK(station=tr.stats.station,
-                                         channel=tr.stats.channel,
-                                         impulsivity=' ',
-                                         phase='IAML',
-                                         weight='', polarity=' ',
-                                         time=tr.stats.starttime+delay,
-                                         coda=999, amplitude=amplitude,
-                                         peri=period, azimuth=float('NaN'),
-                                         velocity=float('NaN'), AIN=999, SNR='',
-                                         azimuthres=999, timeres=float('NaN'),
-                                         finalweight=999, distance=hypo_dist,
-                                         CAZ=CAZ))
-    # Copy the header from the sfile to a new local S-file
-    fin=open(sfile,'r')
-    fout=open('mag_calc.out','w')
-    for line in fin:
-        if not line[79]=='7':
-            fout.write(line)
-        else:
-            fout.write(line)
-            break
-    fin.close()
-    fout.close()
-    # Write picks out to new s-file
-    for pick in picks_out:
-        print pick
-    Sfile_util.populateSfile('mag_calc.out',picks_out)
-    return picks
-

-
[docs]def SVD_moments(U, s, V, stachans, event_list, n_SVs=4):
-    """
-    Function to convert basis vectors calculated by singular value decomposition\
-    (see the SVD functions in clustering) into relative magnitudes.
-
-    :type U: List of np.ndarray
-    :param U: List of the input basis vectors from the SVD, one array for each\
-            channel used.
-    :type s: List of nd.array
-    :param s: List of the singular values, one array for each channel
-    :type V: List of np.ndarry
-    :param V: List of output basis vectors from SVD, one array per channel.
-    :type stachans: List of string
-    :param stachans: List of station.channel input
-    :type event_list: List of list
-    :param event_list: List of events for which you have data, such that\
-                event_list[i] corresponds to stachans[i], U[i] etc. and\
-                event_list[i][j] corresponds to event j in U[i]
-    type n_SVs: int
-    :param n_SVs: Number of singular values to use, defaults to 4.
-
-    :returns: M, np.array of relative moments
-    """
-    import copy
-    import random
-
-    # Copying script from one obtained from John Townend.
-    # Define maximum number of events, will be the width of K
-    K_width = max([max(ev_list) for ev_list in event_list])+1
-    # Sometimes the randomisation generates a singular matrix - rather than
-    # attempting to regulerize this matrix I propose undertaking the randomisation
-    # step a further time
-    for i, stachan in enumerate(stachans):
-        k = [] # Small kernel matrix for one station - channel
-        # Copy the relevant vectors so as not to detroy them
-        U_working=copy.deepcopy(U[i])
-        V_working=copy.deepcopy(V[i])
-        s_working=copy.deepcopy(s[i])
-        ev_list=event_list[i]
-        if not len(ev_list) == len(V_working):
-            print 'V is : '+str(len(V_working))
-            raise IOError('Not the same number of events as V')
-        # Set all non-important singular values to zero
-        s_working[n_SVs:len(s_working)] = 0
-        s_working = np.diag(s_working)
-        # Convert to numpy matrices
-        U_working = np.matrix(U_working)
-        V_working = np.matrix(V_working)
-        s_working = np.matrix(s_working)
-
-        SVD_weights = U_working[:,0]
-        # If all the weights are negative take the abs
-        if np.all(SVD_weights < 0):
-            warnings.warn('All weights are negative - flipping them')
-            SVD_weights=np.abs(SVD_weights)
-        SVD_weights = np.array(SVD_weights).reshape(-1).tolist()
-        # Shuffle the SVD_weights prior to pairing - will give one of multiple
-        # pairwise options - see p1956 of Rubinstein & Ellsworth 2010
-        # We need to keep the real indexes though, otherwise, if there are multiple
-        # events with the same weight we will end up with multiple -1 values
-        random_SVD_weights = np.copy(SVD_weights)
-        # Tack on the indexes
-        random_SVD_weights = random_SVD_weights.tolist()
-        random_SVD_weights = [(random_SVD_weights[_i], _i)\
-            for _i in range(len(random_SVD_weights))]
-        random.shuffle(random_SVD_weights)
-        # Add the first element to the end so all elements will be paired twice
-        random_SVD_weights.append(random_SVD_weights[0])
-        # Take pairs of all the SVD_weights (each weight appears in 2 pairs)
-        pairs = []
-        for pair in _pairwise(random_SVD_weights):
-            pairs.append(pair)
-        # Deciding values for each place in kernel matrix using the pairs
-        for pairsIndex in range(len(pairs)):
-            # We will normalize by the minimum weight
-            _weights = zip(*list(pairs[pairsIndex]))[0]
-            _indeces = zip(*list(pairs[pairsIndex]))[1]
-            min_weight = min(_weights)
-            max_weight = max(_weights)
-            min_index = _indeces[np.argmin(_weights)]
-            max_index = _indeces[np.argmax(_weights)]
-            row = []
-            # Working out values for each row of kernel matrix
-            for j in range(len(SVD_weights)):
-                if j == max_index:
-                    result = -1
-                elif j == min_index:
-                    normalised = max_weight/min_weight
-                    result = float(normalised)
-                else:
-                    result = 0
-                row.append(result)
-            print row
-            # Add each row to the K matrix
-            k.append(row)
-        # k is now a square matrix, we need to flesh it out to be K_width
-        k_filled=np.zeros([len(k), K_width])
-        for j in range(len(k)):
-            for l, ev in enumerate(ev_list):
-                k_filled[j,ev]=k[j][l]
-        if not 'K' in locals():
-            K=k_filled
-        else:
-            K=np.concatenate([K,k_filled])
-    # Remove any empty rows
-    K_nonempty=[]
-    events_out=[]
-    for i in range(0,K_width):
-        if not np.all(K[:,i]==0):
-            K_nonempty.append(K[:,i])
-            events_out.append(i)
-    K=np.array(K_nonempty).T
-    K=K.tolist()
-    K_width=len(K[0])
-    # Add an extra row to K, so average moment = 1
-    K.append(np.ones(K_width) * (1. / K_width))
-    print "\nCreated Kernel matrix: "
-    print('\n'.join([''.join([str(round(float(item),3)).ljust(6)\
-            for item in row]) for row in K]))
-    Krounded = np.around(K, decimals = 4)
-    # Create a weighting matrix to put emphasis on the final row.
-    W = np.matrix(np.identity(len(K)))
-    # the final element of W = the number of stations*number of events
-    W[-1,-1] = len(K)-1
-    # Make K into a matrix
-    K = np.matrix(K)
-
-    ############
-
-    # Solve using the weighted least squares equation, K.T is K transpose
-    Kinv = np.array(np.linalg.inv(K.T*W*K) * K.T * W)
-
-    # M are the relative moments of the events
-    M = Kinv[:, -1]
-
-    return M, events_out
-

-if __name__ == '__main__':
-    """
-    Code to loop through a database and make a shit-tonne of magnitude picks-boi!
-
-    Coded to run through SEISAN databases.
-    """
-    import sys
-    if len(sys.argv) < 6 or len(sys.argv) > 7:
-        msg='Insufficient arguments, needs the database to calculate over, and'+\
-            ' the ouptut database, paths to REA dir (not year/mm dirs) for both'+\
-            ' please, and the path to the CAL directory, and the start and'+\
-            ' stop dates as yyyymmddhhmmss'
-        raise IOError(msg)
-    indir=str(sys.argv[1])
-    outdir=str(sys.argv[2])
-    calpath=str(sys.argv[3])
-    startdate=str(sys.argv[4])
-    enddate=str(sys.argv[5])
-    if len(sys.argv) == 7:
-    	wavepath=sys.argv[6]
-    elif len(sys.argv) == 6:
-    	wavepath=None
-    import glob
-    import shutil
-    import datetime as dt
-    try:
-        startdate=dt.datetime.strptime(startdate.ljust(14,'0'), '%Y%m%d%H%M%S')
-    except:
-        raise IOError('start date is not yyyymmddhhmmss form')
-    try:
-        stopdate=dt.datetime.strptime(enddate.ljust(14,'0'), '%Y%m%d%H%M%S')
-    except:
-        raise IOError('end date is not yyyymmddhhmmss form')
-    kdays=((stopdate+dt.timedelta(1))-startdate).days
-    for i in xrange(kdays):
-        day=startdate+dt.timedelta(i)
-        print 'Working on '+str(day)
-        sfiles=glob.glob(indir+'/'+str(day.year)+'/'+str(day.month).zfill(2)+\
-                         '/'+str(day.day).zfill(2)+'-*L.S'+str(day.year)+\
-                         str(day.month).zfill(2))
-        datetimes=[dt.datetime.strptime(sfiles[i].split('/')[-1], '%d-%H%M-%SL.S%Y%m')\
-                   for i in xrange(len(sfiles))]
-        sfiles=[sfiles[i] for i in xrange(len(sfiles)) if datetimes[i] > startdate and
-                    datetimes[i] < stopdate]
-        if not wavepath:
-        	wavedir="/".join(indir.split('/')[:-2])+'/WAV/'+\
-            	    indir.split('/')[-1]+'/'+str(day.year)+'/'+\
-                	str(day.month).zfill(2)
-        else:
-        	wavedir=wavepath+'/'+str(day.year)+'/'+\
-                	str(day.month).zfill(2)
-        sfiles.sort()
-        for sfile in sfiles:
-            # Make the picks!
-            print '				Working on Sfile: '+sfile
-            picks=Amp_pick_sfile(sfile, wavedir, calpath)
-            # Copy the mag_calc.out file to the correct place
-            shutil.copyfile('mag_calc.out', outdir+'/'+str(day.year)+'/'+\
-                            str(day.month).zfill(2)+'/'+sfile.split('/')[-1])
-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/match_filter.html b/_modules/match_filter.html deleted file mode 100644 index 7f8536748..000000000 --- a/_modules/match_filter.html +++ /dev/null @@ -1,751 +0,0 @@ - - - - - - - - - - match_filter — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for match_filter

-#!/usr/bin/python
-"""
-Function to cross-correlate templates generated by template_gen function with\
-data and output the detecitons.  The main component of this script is the\
-normxcorr2 function from the openCV image processing package.  This is a highly\
-optimized and accurate normalized cross-correlation routine.  The details of\
-this code can be found here:\
-* http://www.cs.ubc.ca/research/deaton/remarks_ncc.html\
-The cpp code was first tested using the Matlab mex wrapper, and has since been\
-ported to a python callable dynamic library.
-
-Part of the EQcorrscan module to integrate seisan nordic files into a full\
-cross-channel correlation for detection routine.\
-EQcorrscan is a python module designed to run match filter routines for\
-seismology, within it are routines for integration to seisan and obspy.\
-With obspy integration (which is necessary) all main waveform formats can be\
-read in and output.
-
-This main section contains a script, LFE_search.py which demonstrates the usage\
-of the built in functions from template generation from picked waveforms\
-through detection by match filter of continuous data to the generation of lag\
-times to be used for relative locations.
-
-The match-filter routine described here was used a previous Matlab code for the\
-Chamberlain et al. 2014 G-cubed publication.  The basis for the lag-time\
-generation section is outlined in Hardebeck & Shelly 2011, GRL.
-
-Code generated by Calum John Chamberlain of Victoria University of Wellington,\
-2015.
-
-
-.. rubric:: Note
-Pre-requisites:
-    - gcc             - for the installation of the openCV correlation routine
-    - python-cv2      - Python bindings for the openCV routines
-    - python-joblib   - used for parallel processing
-    - python-obspy    - used for lots of common seismological processing
-                        - requires:
-                            - numpy
-                            - scipy
-                            - matplotlib
-    - NonLinLoc       - used outside of all codes for travel-time generation
-
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-import numpy as np
-import warnings
-
-
[docs]class DETECTION(object):
-    """
-    Information required for a full detection based on cross-channel
-    correlation sums.
-
-    Attributes:
-        :type template_name: str
-        :param template_name: The name of the template for which this detection\
-        was made
-        :type detect_time: :class: 'obspy.UTCDateTime'
-        :param detect_time: Time of detection as an obspy UTCDateTime object
-        :type no_chans: int
-        :param no_chans: The number of channels for which the cross-channel\
-        correlation sum was calculated over.
-        :type chans: list of str
-        :param chans: List of stations for the detection
-        :type cccsum_val: float
-        :param cccsum_val: The raw value of the cross-channel correlation sum\
-        for this detection.
-        :type threshold: float
-        :param threshold: The value of the threshold used for this detection,\
-        will be the raw threshold value related to the cccsum.
-        :type typeofdet: str
-        :param typeofdet: Type of detection, STA, corr, bright
-    """
-    detectioncount=0
-    def __init__(self, template_name, detect_time,
-                 no_chans, detect_val,
-                 threshold, typeofdet,
-                 chans=None):
-
-        self.template_name=template_name
-        self.detect_time=detect_time
-        self.no_chans=no_chans
-        self.chans=chans
-        self.detect_val=detect_val
-        self.threshold=threshold
-        self.typeofdet=typeofdet
-        self.detectioncount+=1
-    def __repr__(self):
-        return "DETECTION()"
-    def __str__(self):
-        print_str="Detection on "+self.template_name+" at "+str(self.detect_time)
-        return print_str
-

-
[docs]def normxcorr2(template, image):
-    """
-    Base function to call the c++ correlation routine from the openCV image
-    processing suite.  Requires you to have installed the openCV python
-    bindings, which can be downloaded on Linux machines using:
-    **sudo apt-get install python-openCV**
-    Here we use the cv2.TM_CCOEFF_NORMED method within openCV to give the
-    normalized cross-correaltion.  Documentation on this function can be
-    found here:
-    **http://docs.opencv.org/modules/imgproc/doc/object_detection.html?highlight=matchtemplate#cv2.matchTemplate**
-
-    :type template: :class: 'numpy.array'
-    :param template: Template array
-    :type image: :class: 'numpy.array'
-    :param image: image to scan\
-    the template through.  The order of these matters, if you put the template\
-    after the image you will get a reversed correaltion matrix
-
-    :return: New :class: 'numpy.array' object of the correlation values for the\
-    correlation of the image with the template.
-    """
-    import cv2
-    # Check that we have been passed numpy arrays
-    if type(template) != np.ndarray or type(image) != np.ndarray:
-        print 'You have not provided numpy arrays, I will not convert them'
-        return 'NaN'
-    # Convert numpy arrays to float 32
-    cv_template=template.astype(np.float32)
-    cv_image=image.astype(np.float32)
-    ccc=cv2.matchTemplate(cv_image,cv_template,cv2.TM_CCOEFF_NORMED)
-    if np.all(np.isnan(cv_image)) and np.all(np.isnan(cv_template)):
-        ccc=np.zeros(len(ccc))
-    if np.all(ccc==1.0) and (np.all(np.isnan(cv_template))\
-                            or np.all(np.isnan(cv_image))):
-        ccc=np.zeros(len(ccc))
-        # Convert an array of perfect correlations to zero cross-correlations
-    # Reshape ccc to be a 1D vector as is useful for seismic data
-    ccc=ccc.reshape((1,len(ccc)))
-    return ccc
-

-
[docs]def _template_loop(template, chan, station, channel, debug=0, i=0):
-    """
-    Sister loop to handle the correlation of a single template (of multiple
-    channels) with a single channel of data.
-
-    :type template: obspy.Stream
-    :type chan: np.array
-    :type station: String
-    :type channel: String
-    :type i: Int
-    :param i: Optional argument, used to keep track of which process is being\
-    run.
-
-    :returns: tuple of (i,ccc) with ccc as an ndarray
-    """
-    from eqcorrscan.utils.timer import Timer
-
-    ccc=np.array([np.nan] * (len(chan) - len(template[0].data) + 1),\
-        dtype=np.float16)
-    ccc=ccc.reshape((1,len(ccc)))           # Set default value for
-                                            # cross-channel correlation in
-                                            # case there are no data that
-                                            # match our channels.
-    with Timer() as t:
-        # While each bit of this loop isn't slow, looping through the if statement when
-        # I don't need to adds up, I should work this out earlier
-        template_data=template.select(station=station, \
-                                      channel=channel)
-        template_data=template_data[0] # Assuming you only have one template per channel
-        delay=template_data.stats.starttime - \
-                template.sort(['starttime'])[0].stats.starttime
-        pad=np.array([0] * int(round(delay * \
-            template_data.stats.sampling_rate)))
-        image=np.append(chan,pad)[len(pad):]
-        ccc=(normxcorr2(template_data.data, image))
-        ccc=ccc.astype(np.float16)
-        # Convert to float16 to save memory for large problems - lose some
-        # accuracy which will affect detections very close to threshold
-    if debug >= 2 and t.secs > 4:
-        print "Single if statement took %s s" % t.secs
-        if not template_data:
-            print "Didn't even correlate!"
-        print station+' '+channel
-    elif debug >=2:
-        print "If statement without correlation took %s s" % t.secs
-    if debug >= 3:
-        print '********* DEBUG:  '+station+'.'+\
-                channel+' ccc MAX: '+str(np.max(ccc[0]))
-        print '********* DEBUG:  '+station+'.'+\
-                channel+' ccc MEAN: '+str(np.mean(ccc[0]))
-    if np.isinf(np.mean(ccc[0])):
-        warnings.warn('Mean of ccc is infinite, check!')
-        if debug >=3:
-            np.save('inf_cccmean_ccc.npy', ccc[0])
-            np.save('inf_cccmean_template.npy', template_data.data)
-            np.save('inf_cccmean_image.npy', image)
-    if debug >=3:
-        print 'shape of ccc: '+str(np.shape(ccc))
-        print 'A single ccc is using: '+str(ccc.nbytes/1000000)+'MB'
-        print 'ccc type is: '+str(type(ccc))
-    if debug >=3:
-        print 'shape of ccc: '+str(np.shape(ccc))
-        print "Parallel worker "+str(i)+" complete"
-    return (i, ccc)
-

-
[docs]def _channel_loop(templates, stream, cores=1, debug=0):
-    """
-    Loop to generate cross channel correaltion sums for a series of templates
-    hands off the actual correlations to a sister function which can be run in
-    parallel.
-
-    :type templates: :class: 'obspy.Stream'
-    :param templates: A list of templates, where each one should be an\
-    obspy.Stream object containing multiple traces of seismic data and the\
-    relevant header information.
-    :param stream: A single obspy.Stream object containing daylong seismic data\
-    to be correlated through using the templates.  This is in effect the image
-    :type core: int
-    :param core: Number of cores to loop over
-    :type debug: int
-    :param debug: Debug level.
-
-    :return: New list of :class: 'numpy.array' objects.  These will contain the\
-    correlation sums for each template for this day of data.
-    :return: list of ints as number of channels used for each cross-correlation
-    """
-    import time, cv2
-    from multiprocessing import Pool
-    from eqcorrscan.utils.timer import Timer
-    num_cores=cores
-    if len(templates) < num_cores:
-        num_cores = len(templates)
-    if 'cccs_matrix' in locals():
-        del cccs_matrix
-    # Initialize cccs_matrix, which will be two arrays of len(templates) arrays,
-    # where the arrays cccs_matrix[0[:]] will be the cross channel sum for each
-    # template.
-
-    # Note: This requires all templates to be the same length, and all channels
-    # to be the same length
-    cccs_matrix=np.array([np.array([np.array([0.0]*(len(stream[0].data)-\
-                                   len(templates[0][0].data)+1))]*\
-                          len(templates))]*2)
-    # Initialize number of channels array
-    no_chans=np.array([0]*len(templates))
-
-    for tr in stream:
-        tr_data=tr.data
-        station=tr.stats.station
-        channel=tr.stats.channel
-        if debug >=1:
-            print "Starting parallel run for station "+station+" channel "+\
-                    channel
-        tic=time.clock()
-        with Timer() as t:
-            # Send off to sister function
-            pool=Pool(processes=num_cores, maxtasksperchild=None)
-            results=[pool.apply_async(_template_loop, args=(templates[i],\
-                                                        tr_data, station,\
-                                                                channel, i,\
-                                                                debug))\
-                                  for i in range(len(templates))]
-            pool.close()
-        if debug >=1:
-            print "--------- TIMER:    Correlation loop took: %s s" % t.secs
-            print " I have "+str(len(results))+" results"
-        with Timer() as t:
-            cccs_list=[p.get() for p in results]
-            pool.join()
-        if debug >=1:
-            print "--------- TIMER:    Getting results took: %s s" % t.secs
-        with Timer() as t:
-            cccs_list.sort(key=lambda tup: tup[0]) # Sort by placeholder returned from function
-        if debug >=1:
-            print "--------- TIMER:    Sorting took: %s s" % t.secs
-        with Timer() as t:
-            cccs_list = [ccc[1] for ccc in cccs_list]
-        if debug >=1:
-            print "--------- TIMER:    Extracting arrays took: %s s" % t.secs
-        if debug >= 3:
-            print 'cccs_list is shaped: '+str(np.shape(cccs_list))
-        with Timer() as t:
-            cccs=np.concatenate(cccs_list, axis=0)
-        if debug >=1:
-            print "--------- TIMER:    cccs_list conversion: %s s" % t.secs
-        del cccs_list
-        if debug >=2:
-            print 'After looping through templates the cccs is shaped: '+str(np.shape(cccs))
-            print 'cccs is using: '+str(cccs.nbytes/1000000)+' MB of memory'
-        cccs_matrix[1]=np.reshape(cccs, (1,len(templates),max(np.shape(cccs))))
-        del cccs
-        if debug >=2:
-            print 'cccs_matrix shaped: '+str(np.shape(cccs_matrix))
-            print 'cccs_matrix is using '+str(cccs_matrix.nbytes/1000000)+' MB of memory'
-        # Now we have an array of arrays with the first dimensional index giving the
-        # channel, the second dimensional index giving the template and the third
-        # dimensional index giving the position in the ccc, e.g.:
-        # np.shape(cccsums)=(len(stream), len(templates), len(ccc))
-
-        if debug >=2:
-            print 'cccs_matrix as a np.array is shaped: '+str(np.shape(cccs_matrix))
-        # First work out how many channels were used
-        for i in range(0,len(templates)):
-            if not np.all(cccs_matrix[1][i]==0):
-                # Check that there are some real numbers in the vector rather
-                # than being all 0, which is the default case for no match
-                # of image and template names
-                no_chans[i]+=1
-        # Now sum along the channel axis for each template to give the cccsum values
-        # for each template for each day
-        with Timer() as t:
-            cccsums=cccs_matrix.sum(axis=0).astype(np.float32)
-        if debug >=1:
-            print "--------- TIMER:    Summing took %s s" % t.secs
-        if debug>=2:
-            print 'cccsums is shaped thus: '+str(np.shape(cccsums))
-        cccs_matrix[0]=cccsums
-        del cccsums
-        toc=time.clock()
-        if debug >=1:
-            print "--------- TIMER:    Trace loop took "+str(toc-tic)+" s"
-    if debug >=2:
-        print 'cccs_matrix is shaped: '+str(np.shape(cccs_matrix))
-    cccsums=cccs_matrix[0]
-    return cccsums, no_chans
-

-
[docs]def match_filter(template_names, templates, st, threshold,\
-                 threshold_type, trig_int, plotvar, plotdir='.', cores=1,\
-                 tempdir=False, debug=0, plot_format='jpg'):
-    """
-    Over-arching code to run the correlations of given templates with a day of
-    seismic data and output the detections based on a given threshold.
-
-    :type templates: list :class: 'obspy.Stream'
-    :param templates: A list of templates of which each template is a Stream of\
-        obspy traces containing seismic data and header information.
-    :type st: :class: 'obspy.Stream'
-    :param st: An obspy.Stream object containing all the data available and\
-        required for the correlations with templates given.  For efficiency this\
-        should contain no excess traces which are not in one or more of the\
-        templates.  This will now remove excess traces internally, but will\
-        copy the stream and work on the copy, leaving the stream you input\
-        untouched.
-    :type threshold: float
-    :param threshold: A threshold value set based on the threshold_type
-    :type threshold_type: str
-    :param threshold_type: The type of threshold to be used, can be MAD,\
-        absolute or av_chan_corr.    MAD threshold is calculated as the\
-        threshold*(median(abs(cccsum))) where cccsum is the cross-correlation\
-        sum for a given template. absolute threhsold is a true absolute\
-        threshold based on the cccsum value av_chan_corr is based on the mean\
-        values of single-channel cross-correlations assuming all data are\
-        present as required for the template, \
-        e.g. av_chan_corr_thresh=threshold*(cccsum/len(template)) where\
-        template is a single template from the input and the length is the\
-        number of channels within this template.
-    :type trig_int: float
-    :param trig_int: Minimum gap between detections in seconds.
-    :type plotvar: bool
-    :param plotvar: Turn plotting on or off
-    :type plotdir: str
-    :param plotdir: Path to plotting folder, plots will be output here, defaults\
-        to run location.
-    :type tempdir: String or False
-    :param tempdir: Directory to put temporary files, or False
-    :type cores: int
-    :param cores: Number of cores to use
-    :type debug: int
-    :param debug: Debug output level, the bigger the number, the more the output
-
-    :return: :class: 'DETECTIONS' detections for each channel formatted as\
-    :class: 'obspy.UTCDateTime' objects.
-
-    .. rubric:: Note
-        Plotting within the match-filter routine uses the Agg backend with\
-        interactive plotting turned off.  This is because the function is\
-        designed to work in bulk.  If you wish to turn interactive plotting on\
-        you must import matplotlib in your script first, when you them import\
-        match_filter you will get the warning that this call to matplotlib has\
-        no effect, which will mean that match_filter has not changed the plotting\
-        behaviour.
-
-    """
-    import matplotlib
-    matplotlib.use('Agg')
-    import matplotlib.pyplot as plt
-    plt.ioff()
-    from eqcorrscan.utils import findpeaks, EQcorrscan_plotting
-    import time, copy
-    from obspy import Trace
-    match_internal=False # Set to True if memory is an issue, if True, will only
-                          # use about the same amount of memory as the seismic dat
-                          # take up.  If False, it will use 20-100GB per instance
-    # Copy the stream here because we will fuck about with it
-    stream=st.copy()
-    # Debug option to confirm that the channel names match those in the templates
-    if debug>=2:
-        template_stachan=[]
-        data_stachan=[]
-        for template in templates:
-            for tr in template:
-                template_stachan.append(tr.stats.station+'.'+tr.stats.channel)
-        for tr in stream:
-            data_stachan.append(tr.stats.station+'.'+tr.stats.channel)
-        template_stachan=list(set(template_stachan))
-        data_stachan=list(set(data_stachan))
-        if debug >= 3:
-            print 'I have template info for these stations:'
-            print template_stachan
-            print 'I have daylong data for these stations:'
-            print data_stachan
-    # Perform a check that the daylong vectors are daylong
-    for tr in stream:
-        if not tr.stats.sampling_rate*86400 == tr.stats.npts:
-            raise ValueError ('Data are not daylong for '+tr.stats.station+\
-                              '.'+tr.stats.channel)
-    # Call the _template_loop function to do all the correlation work
-    outtic=time.clock()
-    # Edit here from previous, stable, but slow match_filter
-    # Would be worth testing without an if statement, but with every station in
-    # the possible template stations having data, but for those without real
-    # data make the data NaN to return NaN ccc_sum
-    if debug >=2:
-        print 'Ensuring all template channels have matches in daylong data'
-    template_stachan=[]
-    for template in templates:
-        for tr in template:
-            template_stachan+=[(tr.stats.station, tr.stats.channel)]
-    template_stachan=list(set(template_stachan))
-    # Copy this here to keep it safe
-    for stachan in template_stachan:
-        if not stream.select(station=stachan[0], channel=stachan[1]):
-            # Add a trace of NaN's
-            nulltrace=Trace()
-            nulltrace.stats.station=stachan[0]
-            nulltrace.stats.channel=stachan[1]
-            nulltrace.stats.sampling_rate=stream[0].stats.sampling_rate
-            nulltrace.stats.starttime=stream[0].stats.starttime
-            nulltrace.data=np.array([np.NaN]*len(stream[0].data), dtype=np.float32)
-            stream+=nulltrace
-    # Remove un-needed channels
-    for tr in stream:
-        if not (tr.stats.station, tr.stats.channel) in template_stachan:
-            stream.remove(tr)
-    # Also pad out templates to have all channels
-    for template in templates:
-        for stachan in template_stachan:
-            if not template.select(station=stachan[0], channel=stachan[1]):
-                nulltrace=Trace()
-                nulltrace.stats.station=stachan[0]
-                nulltrace.stats.channel=stachan[1]
-                nulltrace.stats.sampling_rate=template[0].stats.sampling_rate
-                nulltrace.stats.starttime=template[0].stats.starttime
-                nulltrace.data=np.array([np.NaN]*len(template[0].data), dtype=np.float32)
-                template+=nulltrace
-
-    if debug >= 2:
-        print 'Starting the correlation run for this day'
-    if match_internal:
-        [cccsums, no_chans] = run_channel_loop(templates, stream, tempdir)
-    else:
-        [cccsums, no_chans]=_channel_loop(templates, stream, cores,\
-                            debug)
-    if len(cccsums[0])==0:
-        raise ValueError('Correlation has not run, zero length cccsum')
-    outtoc=time.clock()
-    print 'Looping over templates and streams took: '+str(outtoc-outtic)+' s'
-    if debug>=2:
-        print 'The shape of the returned cccsums is: '+str(np.shape(cccsums))
-        print 'This is from '+str(len(templates))+' templates'
-        print 'Correlated with '+str(len(stream))+' channels of data'
-    i=0
-    detections=[]
-    for cccsum in cccsums:
-        template=templates[i]
-        if threshold_type=='MAD':
-            rawthresh=threshold*np.median(np.abs(cccsum))
-        elif threshold_type=='absolute':
-            rawthresh=threshold
-        elif threshold=='av_chan_corr':
-            rawthresh=threshold*(cccsum/len(template))
-        else:
-            print 'You have not selected the correct threshold type, I will use MAD as I like it'
-            rawthresh=threshold*np.mean(np.abs(cccsum))
-        # Findpeaks returns a list of tuples in the form [(cccsum, sample)]
-        print 'Threshold is set at: '+str(rawthresh)
-        print 'Max of data is: '+str(max(cccsum))
-        print 'Mean of data is: '+str(np.mean(cccsum))
-        if np.abs(np.mean(cccsum)) > 0.05:
-            warnings.warn('Mean is not zero!  Check this!')
-        # Set up a trace object for the cccsum as this is easier to plot and
-        # maintins timing
-        if plotvar:
-            stream_plot=copy.deepcopy(stream[0])
-            # Downsample for plotting
-            stream_plot.decimate(int(stream[0].stats.sampling_rate / 10))
-            cccsum_plot=Trace(cccsum)
-            cccsum_plot.stats.sampling_rate=stream[0].stats.sampling_rate
-            # Resample here to maintain shape better
-            cccsum_hist=cccsum_plot.copy()
-            cccsum_hist=cccsum_hist.decimate(int(stream[0].stats.sampling_rate\
-                                                / 10)).data
-            cccsum_plot=EQcorrscan_plotting.chunk_data(cccsum_plot, 10, 'Maxabs').data
-            # Enforce same length
-            stream_plot.data=stream_plot.data[0:len(cccsum_plot)]
-            cccsum_plot=cccsum_plot[0:len(stream_plot.data)]
-            cccsum_hist=cccsum_hist[0:len(stream_plot.data)]
-            EQcorrscan_plotting.triple_plot(cccsum_plot, cccsum_hist, stream_plot,\
-                                            rawthresh, True,\
-                                            plotdir+'/cccsum_plot_'+template_names[i]+'_'+\
-                                        str(stream[0].stats.starttime.year)+'-'+\
-                                        str(stream[0].stats.starttime.month)+'-'+\
-                                        str(stream[0].stats.starttime.day)+'.'+\
-                                            plot_format)
-            if debug >= 4:
-                print 'Saved the cccsum to: '+template_names[i]+\
-                            stream[0].stats.starttime.datetime.strftime('%Y%j')
-                np.save(template_names[i]+\
-                            stream[0].stats.starttime.datetime.strftime('%Y%j'),\
-                        cccsum)
-        tic=time.clock()
-        if debug>=4:
-            np.save('cccsum_'+str(i)+'.npy', cccsum)
-        if debug>=3 and max(cccsum)>rawthresh:
-            peaks=findpeaks.find_peaks2_short(cccsum, rawthresh, \
-                                        trig_int*stream[0].stats.sampling_rate,\
-                                        debug, stream[0].stats.starttime,
-                                        stream[0].stats.sampling_rate)
-        elif max(cccsum)>rawthresh:
-            peaks=findpeaks.find_peaks2_short(cccsum, rawthresh, \
-                                        trig_int*stream[0].stats.sampling_rate,\
-                                        debug)
-        else:
-            print 'No peaks found above threshold'
-            peaks=False
-        toc=time.clock()
-        if debug >= 1:
-            print 'Finding peaks took: '+str(toc-tic)+' s'
-        if peaks:
-            for peak in peaks:
-                detecttime=stream[0].stats.starttime+\
-                            peak[1]/stream[0].stats.sampling_rate
-                detections.append(DETECTION(template_names[i],
-                                             detecttime,
-                                             no_chans[i], peak[0], rawthresh,
-                                             'corr'))
-        i+=1
-
-    return detections

-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/pre_processing.html b/_modules/pre_processing.html deleted file mode 100644 index bbd025eb9..000000000 --- a/_modules/pre_processing.html +++ /dev/null @@ -1,413 +0,0 @@ - - - - - - - - - - pre_processing — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for pre_processing

-#!/usr/bin/python
-"""
-Utilities module for the EQcorrscan package written by Calum Chamberlain of
-Victoria University Wlelington.  These functions are designed to do the basic
-processing of the data using obspy modules (which also rely on scipy and numpy).
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-
-from obspy import UTCDateTime
-from obspy.signal.filter import bandpass
-
-
[docs]def _check_daylong(tr):
-    """
-    Function to check the data quality of the daylong file - check to see that
-    the day isn't just zeros, with large steps, if it is then the resampling will
-    hate it.
-
-    :type tr: obspy.Trace
-    :param tr: Trace to check if the data are daylong.
-
-    :return qual: bool
-    """
-    import numpy as np
-    if len(tr.data)-len(np.nonzero(tr.data)) < 0.5*len(tr.data):
-        qual=False
-    else:
-        qual=True
-    return qual
-

-
[docs]def shortproc(st, lowcut, highcut, filt_order, samp_rate, debug=0):
-    """
-    Basic function to bandpass, downsample.  Works in place
-    on data.  This is employed to ensure all parts of the data are processed
-    in the same way.
-
-    :type st: obspy.Stream
-    :param st: Stream to process
-    :type highcut: float
-    :param highcut: High cut for bandpass in Hz
-    :type lowcut: float
-    :param lowcut: Low cut for bandpass in Hz
-    :type filt_order: int
-    :param filt_order: Number of corners for bandpass filter
-    :type samp_rate: float
-    :param samp_rate: Sampling rate desired in Hz
-    :type debug: int
-    :param debug: Debug flag from 0-5, higher numbers = more output
-
-    :return: obspy.Stream
-
-    ..rubric:: Note
-        Will convert channel names to two charectars long
-    """
-    # Add sanity check for filter
-    if highcut >= 0.5*samp_rate:
-        raise IOError('Highcut must be lower than the nyquist')
-    for tr in st:
-        if debug > 4:
-            tr.plot()
-        # Check data quality first
-        qual=_check_daylong(tr)
-        if not qual:
-            msg="Data have more zeros than actual data, please check the raw" +\
-                    "data set-up and manually sort it"
-            raise ValueError(msg)
-        # Check sampling rate and resample
-        if tr.stats.sampling_rate != samp_rate:
-            tr.resample(samp_rate)
-
-        # Filtering section
-        tr=tr.detrend('simple')    # Detrend data before filtering
-        tr.data=bandpass(tr.data, lowcut, highcut,
-                    tr.stats.sampling_rate, filt_order, True)
-        # Convert to two charectar channel names
-        tr.stats.channel=tr.stats.channel[0]+tr.stats.channel[-1]
-        # Final visual check for debug
-        if debug > 4:
-            tr.plot()
-    return st
-

-
[docs]def dayproc(tr, lowcut, highcut, filt_order, samp_rate, debug, starttime):
-    """
-    Basic function to bandpass, downsample and check headers and length of trace
-    to ensure files start at the start of a day and are daylong.  Works in place
-    on data.  This is employed to ensure all parts of the data are processed
-    in the same way.
-
-    :type tr: obspy.Trace
-    :param tr: Trace to process
-    :type highcut: float
-    :param highcut: High cut in Hz for bandpass
-    :type lowcut: float
-    :type lowcut: Low cut in Hz for bandpass
-    :type filt_order: int
-    :param filt_order: Corners for bandpass
-    :type samp_rate: float
-    :param samp_rate: Desired sampling rate in Hz
-    :type debug: int
-    :param debug: Debug output level from 0-5, higher numbers = more output
-    :type starttime: obspy.UTCDateTime
-    :param starttime: Desired start of trace
-
-    :return: obspy.Stream
-
-    ..rubric:: Note
-        Will convert channel names to two charectars long
-    """
-    # Add sanity check
-    if highcut >= 0.5*samp_rate:
-        raise IOError('Highcut must be lower than the nyquist')
-    day=str(starttime.year)+str(starttime.month).zfill(2)+\
-        str(starttime.day).zfill(2)
-    if debug>=2:
-        print 'Working on: '+tr.stats.station+'.'+tr.stats.channel
-    if debug >= 5:
-        tr.plot()
-    # Do a brute force quality check
-    qual=_check_daylong(tr)
-    if not qual:
-        msg="Data have more zeros than actual data, please check the raw" +\
-                "data set-up and manually sort it"
-        raise ValueError(msg)
-    tr=tr.detrend('simple')    # Detrend data before filtering
-
-    # If there is one sample too many remove the first sample - this occurs
-    # at station FOZ where the first sample is zero when it shouldn't be,
-    # Not real sample generated during data download
-    if len(tr.data)==(86400*tr.stats.sampling_rate)+1:
-        tr.data=tr.data[1:len(tr.data)]
-    print 'I have '+str(len(tr.data))+' data points for '+tr.stats.station+'.'\
-            +tr.stats.channel+' before processing'
-
-    # Sanity check to ensure files are daylong
-    if float(tr.stats.npts/tr.stats.sampling_rate) != 86400.0:
-        if debug >= 2:
-            print 'Data for '+tr.stats.station+'.'+tr.stats.channel+\
-                    ' is not of daylong length, will zero pad'
-        # Work out when the trace thinks it is starting - Aaron's time headers
-        # are often wrong
-        traceday=UTCDateTime(str(tr.stats.starttime.year)+'-'+\
-                            str(tr.stats.starttime.month)+'-'+\
-                            str(tr.stats.starttime.day))
-        # Use obspy's trim function with zero padding
-        tr=tr.trim(traceday,traceday+86400,pad=True,fill_value=0,\
-                    nearest_sample=True)
-        # If there is one sample too many after this remove the last one
-        # by convention
-        if len(tr.data)==(86400*tr.stats.sampling_rate)+1:
-            tr.data=tr.data[1:len(tr.data)]
-        if not tr.stats.sampling_rate*86400 == tr.stats.npts:
-                raise ValueError ('Data are not daylong for '+tr.stats.station+\
-                                  '.'+tr.stats.channel)
-
-    print 'I now have '+str(len(tr.data))+' data points after enforcing day length'
-
-    # Check sampling rate and resample
-    if tr.stats.sampling_rate != samp_rate:
-        if debug>=2:
-            print 'Resampling'
-        tr.resample(samp_rate)
-
-
-    # Filtering section
-    tr=tr.detrend('simple')    # Detrend data before filtering
-    if debug>=2:
-        print 'Bandpassing'
-    tr.data=bandpass(tr.data, lowcut, highcut,
-                tr.stats.sampling_rate, filt_order, True)
-
-    # Account for two letter channel names in s-files and therefore templates
-    tr.stats.channel=tr.stats.channel[0]+tr.stats.channel[-1]
-
-    # Sanity check the time header
-    if str(tr.stats.starttime.year)+str(tr.stats.starttime.month).zfill(2)+\
-        str(tr.stats.starttime.day).zfill(2) != day:
-        if debug >= 2:
-            print "Time headers are wrong: "+str(tr.stats.starttime)
-            print "Correcting to: "+str(starttime)
-            tr.stats.starttime=starttime
-
-    # Sanity check to ensure files are daylong
-    if float(tr.stats.npts/tr.stats.sampling_rate) != 86400.0:
-        if debug >= 2:
-            print 'Data for '+tr.stats.station+'.'+tr.stats.channel+\
-                    ' is not of daylong length, will zero pad'
-        # Work out when the trace thinks it is starting - Aaron's time headers
-        # are often wrong
-        traceday=UTCDateTime(str(tr.stats.starttime.year)+'-'+\
-                            str(tr.stats.starttime.month)+'-'+\
-                            str(tr.stats.starttime.day))
-        # Use obspy's trim function with zero padding
-        tr=tr.trim(traceday,traceday+86400,pad=True,fill_value=0,\
-                    nearest_sample=True)
-        # If there is one sample too many after this remove the last one
-        # by convention
-        if len(tr.data)==(86400*tr.stats.sampling_rate)+1:
-            tr.data=tr.data[1:len(tr.data)]
-        if not tr.stats.sampling_rate*86400 == tr.stats.npts:
-                raise ValueError ('Data are not daylong for '+tr.stats.station+\
-                                  '.'+tr.stats.channel)
-    # Final visual check for debug
-    if debug >= 4:
-        tr.plot()
-    return tr

-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/stacking.html b/_modules/stacking.html deleted file mode 100644 index c3871748b..000000000 --- a/_modules/stacking.html +++ /dev/null @@ -1,323 +0,0 @@ - - - - - - - - - - stacking — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for stacking

-#!/usr/bin/python
-"""
-Utility module of the EQcorrscan package to allow for different methods of
-stacking of seismic signal in one place.
-
-Calum Chamberlain 24/06/2015
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-
-import numpy as np
-
-
[docs]def linstack(streams):
-    """
-    Function to compute the linear stack of a series of seismic streams of
-    multiplexed data
-
-    :type streams: List of Streams
-    :param stream: List of streams to stack
-
-    :returns: stack - Stream
-    """
-    # import matplotlib.pyplot as plt
-    stack=streams[np.argmax([len(stream) for stream in streams])].copy()
-    for tr in stack:
-        tr.data=tr.data/np.sqrt(np.mean(np.square(tr.data)))
-        tr.data=np.nan_to_num(tr.data)
-    for i in range(1,len(streams)):
-        # print "Stacking stream "+str(i)
-        for tr in stack:
-            # print tr.stats.station+'.'+tr.stats.channel
-            matchtr=streams[i].select(station=tr.stats.station,\
-                                       channel=tr.stats.channel)
-            if matchtr:
-                norm=matchtr[0].data/np.sqrt(np.mean(np.square(matchtr[0].data)))
-                norm=np.nan_to_num(norm)
-                tr.data=np.sum((norm,\
-                               tr.data), axis=0)
-    return stack
-

-
[docs]def PWS_stack(streams, weight=2):
-    """
-    Function to compute the phase weighted stack of a series of streams.
-    Recommend aligning the traces before stacking.
-
-    :type streams: list of obspy.Stream
-    :param streams: List of Stream to stack
-    :type weight: float
-    :param weight: Exponent to the phase stack used for weighting.
-
-    :return: obspy.Stream
-    """
-    from scipy.signal import hilbert
-    # First get the linear stack which we will weight by the phase stack
-    Linstack=linstack(streams)
-    # Compute the instantaneous phase
-    instaphases=[]
-    print "Computing instantaneous phase"
-    for stream in streams:
-        instaphase=stream.copy()
-        for tr in instaphase:
-            analytic=hilbert(tr.data)
-            envelope=np.sqrt(np.sum((np.square(analytic),\
-                                     np.square(tr.data)), axis=0))
-            tr.data=analytic/envelope
-        instaphases.append(instaphase)
-    # Compute the phase stack
-    print "Computing the phase stack"
-    Phasestack=linstack(instaphases)
-    # print type(Phasestack)
-    # Compute the phase-weighted stack
-    for tr in Phasestack:
-        tr.data=Linstack.select(station=tr.stats.station)[0].data*\
-                np.abs(tr.data**weight)
-    return Phasestack
-

-
[docs]def align_traces(trace_list, shift_len, master=False):
-    """
-    Function to allign traces relative to each other based on their
-    cross-correlation value
-
-    :type trace_list: List of Traces
-    :param trace_list: List of traces to allign
-    :type shift_len: int
-    :param shift_len: Length to allow shifting within in samples
-    :type master: obspy.Trace
-    :param master: Master trace to align to, if set to False will align to the\
-        largest amplitude trace (default)
-
-    :returns: list of shifts for best allignment in seconds
-    """
-    from obspy.signal.cross_correlation import xcorr
-    from copy import deepcopy
-    traces=deepcopy(trace_list)
-    if not master:
-        # Use trace with largest MAD amplitude as master
-        master=traces[0]
-        MAD_master=np.median(np.abs(master.data))
-        master_no=0
-        for i in xrange(1,len(traces)):
-            if np.median(np.abs(traces[i])) > MAD_master:
-                master=traces[i]
-                MAD_master=np.median(np.abs(master.data))
-                master_no=i
-    else:
-        print 'Using master given by user'
-    shifts=[]
-    ccs=[]
-    for i in range(len(traces)):
-        if not master.stats.sampling_rate == traces[i].stats.sampling_rate:
-            raise ValueError('Sampling rates not the same')
-        shift, cc=xcorr(master, traces[i], shift_len)
-        shifts.append(shift/master.stats.sampling_rate)
-        ccs.append(cc)
-    return shifts, ccs

-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_modules/template_gen.html b/_modules/template_gen.html deleted file mode 100644 index 232d802cf..000000000 --- a/_modules/template_gen.html +++ /dev/null @@ -1,616 +0,0 @@ - - - - - - - - - - template_gen — EQcorrscan 0.0.8 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- - - - - - -
-
-
- -
-
-
- -

Source code for template_gen

-#!/usr/bin/python
-"""
-Function to generate template waveforms and information to go with them for the\
-application of cross-correlation of seismic data for the detection of repeating\
-events.
-
-Part of the EQcorrscan module to read nordic format s-files\
-EQcorrscan is a python module designed to run match filter routines for\
-seismology, within it are routines for integration to seisan and obspy.\
-With obspy integration (which is necessary) all main waveform formats can be\
-read in and output.
-
-This main section contains a script, LFE_search.py which demonstrates the usage\
-of the built in functions from template generation from picked waveforms\
-through detection by match filter of continuous data to the generation of lag\
-times to be used for relative locations.
-
-The match-filter routine described here was used a previous Matlab code for the\
-Chamberlain et al. 2014 G-cubed publication.  The basis for the lag-time\
-generation section is outlined in Hardebeck & Shelly 2011, GRL.
-
-Code generated by Calum John Chamberlain of Victoria University of Wellington,\
-2015.
-
-
-.. rubric:: Note
-Pre-requisites:
-    - gcc             - for the installation of the openCV correlation routine
-    - python-cv2      - Python bindings for the openCV routines
-    - python-joblib   - used for parallel processing
-    - python-obspy    - used for lots of common seismological processing
-                        - requires:
-                            - numpy
-                            - scipy
-                            - matplotlib
-    - NonLinLoc       - used outside of all codes for travel-time generation
-
-Copyright 2015 Calum Chamberlain
-
-This file is part of EQcorrscan.
-
-    EQcorrscan is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    EQcorrscan is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with EQcorrscan.  If not, see <http://www.gnu.org/licenses/>.
-
-"""
-
-
[docs]def from_sfile(sfile, lowcut, highcut, samp_rate, filt_order, length, swin,\
-               debug=0):
-    """
-    Function to read in picks from sfile then generate the template from the
-    picks within this and the wavefile found in the pick file.
-
-    :type sfile: string
-    :param sfile: sfilename must be the\
-    path to a seisan nordic type s-file containing waveform and pick\
-    information.
-    :type lowcut: float
-    :param lowcut: Low cut (Hz), if set to None will look in template\
-            defaults file
-    :type highcut: float
-    :param lowcut: High cut (Hz), if set to None will look in template\
-            defaults file
-    :type samp_rate: float
-    :param samp_rate: New sampling rate in Hz, if set to None will look in\
-            template defaults file
-    :type filt_order: int
-    :param filt_order: Filter level, if set to None will look in\
-            template defaults file
-    :type swin: str
-    :param swin: Either 'all', 'P' or 'S', to select which phases to output.
-    :type length: float
-    :param length: Extract length in seconds, if None will look in template\
-            defaults file.
-    :type debug: int
-    :param debug: Debug level, higher number=more output.
-    """
-    # Perform some checks first
-    import os
-    import sys
-    if not os.path.isfile(sfile):
-        raise IOError('sfile does not exist')
-
-    from eqcorrscan.utils import Sfile_util
-    # Read in the header of the sfile
-    wavefiles=Sfile_util.readwavename(sfile)
-    pathparts=sfile.split('/')[0:len(sfile.split('/'))-1]
-    wavpath=''
-    for part in pathparts:
-        if part == 'REA':
-            part='WAV'
-        wavpath+=part+'/'
-    from obspy import read as obsread
-    from eqcorrscan.utils import pre_processing
-    # Read in waveform file
-    for wavefile in wavefiles:
-        print "I am going to read waveform data from: "+wavpath+wavefile
-        if 'st' in locals():
-            st+=obsread(wavpath+wavefile)
-        else:
-            st=obsread(wavpath+wavefile)
-    for tr in st:
-        if tr.stats.sampling_rate < samp_rate:
-            print 'Sampling rate of data is lower than sampling rate asked for'
-            print 'As this is not good practice for correlations I will not do this'
-            raise ValueError("Trace: "+tr.stats.station+" sampling rate: "+\
-                             str(tr.stats.sampling_rate))
-    # Read in pick info
-    picks=Sfile_util.readpicks(sfile)
-    print "I have found the following picks"
-    for pick in picks:
-        print pick.station+' '+pick.channel+' '+pick.phase+' '+str(pick.time)
-
-    # Process waveform data
-    st=pre_processing.shortproc(st, lowcut, highcut, filt_order,\
-                      samp_rate, debug)
-    st1=_template_gen(picks, st, length, swin)
-    return st1
-

-
[docs]def from_contbase(sfile, contbase_list, lowcut, highcut, samp_rate, filt_order,\
-                 length, prepick, swin, debug=0):
-    """
-    Function to read in picks from sfile then generate the template from the
-    picks within this and the wavefiles from the continous database of day-long
-    files.  Included is a section to sanity check that the files are daylong and
-    that they start at the start of the day.  You should ensure this is the case
-    otherwise this may alter your data if your data are daylong but the headers
-    are incorrectly set.
-
-    :type sfile: string
-    :param sfile: sfilename must be the path to a seisan nordic type s-file \
-            containing waveform and pick information, all other arguments can \
-            be numbers save for swin which must be either P, S or all \
-            (case-sensitive).
-    :type contbase_list: List of tuple of string
-    :param contbase_list: List of tuples of the form ['path', 'type', 'network']\
-                    Where path is the path to the continuous database, type is\
-                    the directory structure, which can be either Yyyyy/Rjjj.01,\
-                    which is the standard IRIS Year, julian day structure, or,\
-                    yyyymmdd which is a single directory for every day.
-    :type lowcut: float
-    :param lowcut: Low cut (Hz), if set to None will look in template\
-            defaults file
-    :type highcut: float
-    :param lowcut: High cut (Hz), if set to None will look in template\
-            defaults file
-    :type samp_rate: float
-    :param samp_rate: New sampling rate in Hz, if set to None will look in\
-            template defaults file
-    :type filt_order: int
-    :param filt_order: Filter level, if set to None will look in\
-            template defaults file
-    :type length: float
-    :param length: Extract length in seconds, if None will look in template\
-            defaults file.
-    :type prepick: float
-    :param prepick: Pre-pick time in seconds
-    :type swin: str
-    :param swin: Either 'all', 'P' or 'S', to select which phases to output.
-    :type debug: int
-    :param debug: Level of debugging output, higher=more
-    """
-    # Perform some checks first
-    import os, sys
-    if not os.path.isfile(sfile):
-        raise IOError('sfile does not exist')
-
-    # import some things
-    from eqcorrscan.utils import Sfile_util
-    from eqcorrscan.utils import pre_processing
-    import glob
-    from obspy import UTCDateTime
-
-    # Read in the header of the sfile
-    header=Sfile_util.readheader(sfile)
-    day=UTCDateTime(str(header.time.year)+'-'+str(header.time.month).zfill(2)+\
-                    '-'+str(header.time.day).zfill(2))
-
-    # Read in pick info
-    picks=Sfile_util.readpicks(sfile)
-    print "I have found the following picks"
-    pick_chans=[]
-    used_picks=[]
-    for pick in picks:
-        if not pick.station+pick.channel in pick_chans and pick.phase in ['P','S']:
-            pick_chans.append(pick.station+pick.channel)
-            used_picks.append(pick)
-            print pick
-            for contbase in contbase_list:
-                if contbase[1] == 'yyyy/mm/dd':
-                    daydir=str(day.year)+'/'+str(day.month).zfill(2)+'/'+\
-                            str(day.day).zfill(2)
-                elif contbase[1]=='Yyyyy/Rjjj.01':
-                    daydir='Y'+str(day.year)+'/R'+str(day.julday).zfill(3)+'.01'
-                elif contbase[1]=='yyyymmdd':
-                    daydir=str(day.year)+str(day.month).zfill(2)+str(day.day).zfill(2)
-                if 'wavefiles' in locals():
-                    wavefiles+=glob.glob(contbase[0]+'/'+daydir+'/*'+pick.station+\
-                    '.*')
-                else:
-                    wavefiles=(glob.glob(contbase[0]+'/'+daydir+'/*'+pick.station+\
-                    '.*'))
-        elif pick.phase in ['P','S']:
-            print 'Duplicate pick '+pick.station+' '+pick.channel+' '+pick.phase+\
-            ' '+str(pick.time)
-        elif pick.phase =='IAML':
-            print 'Amplitude pick '+pick.station+' '+pick.channel+' '+pick.phase+\
-            ' '+str(pick.time)
-    picks=used_picks
-    wavefiles=list(set(wavefiles))
-
-    # Read in waveform file
-    from obspy import read as obsread
-    wavefiles.sort()
-    for wavefile in wavefiles:
-        print "I am going to read waveform data from: "+wavefile
-        if 'st' in locals():
-            st+=obsread(wavefile)
-        else:
-            st=obsread(wavefile)
-    # Porcess waveform data
-    st.merge(fill_value='interpolate')
-    for tr in st:
-        tr=pre_processing.dayproc(tr, lowcut, highcut, filt_order,\
-                                samp_rate, debug, day)
-    # Cut and extract the templates
-    st1=_template_gen(picks, st, length, swin, prepick=prepick)
-    return st1
-

-
[docs]def _template_gen(picks, st, length, swin, prepick=0.05, plot=False):
-    """
-    Function to generate a cut template in the obspy
-    Stream class from a given set of picks and data, also in an obspy stream
-    class.  Should be given pre-processed data (downsampled and filtered)
-
-    :type picks: :class: 'makesfile.pick'
-    :param picks: Picks to extract data around
-    :type st: :class: 'obspy.Stream'
-    :param st: Stream to etract templates from
-    :type length: float
-    :param length: Length of template in seconds
-    :type swin: string
-    :param swin: P, S or all
-    :type prepick: float
-    :param prepick: Length in seconds to extract before the pick time\
-            default is 0.05 seconds
-    :type plot: bool
-    :param plot: To plot the template or not, default is True
-    """
-    from eqcorrscan.utils.Sfile_util import PICK
-    from eqcorrscan.utils.EQcorrscan_plotting import pretty_template_plot as tplot
-    from obspy import Stream
-    import copy, warnings
-    stations=[]
-    channels=[]
-    st_stachans=[]
-    for pick in picks:
-        stations.append(pick.station)
-        channels.append(pick.channel)
-    for tr in st:
-        st_stachans.append(tr.stats.station+'.'+tr.stats.channel)
-    for i in xrange(len(stations)):
-        if not stations[i]+'.'+channels[i] in st_stachans:
-            warnings.warn('No data provided for '+stations[i]+'.'+channels[i])
-    # Select which channels we actually have picks for
-    for tr in st:
-        if tr.stats.station in stations:
-            if swin=='all':
-                if len(tr.stats.channel)==3:
-                    temp_channel=tr.stats.channel[0]+tr.stats.channel[2]
-                elif len(tr.stats.channel)==2:
-                    temp_channel=tr.stats.channel
-                # if temp_channel in channels:
-                tr.stats.channel=temp_channel
-                if 'st1' in locals():
-                    st1+=tr
-                else:
-                    st1=Stream(tr)
-            else:
-                if 'st1' in locals():
-                    st1+=tr
-                else:
-                    st1=Stream(tr)
-    st=copy.deepcopy(st1)
-    del st1
-    if plot:
-        stplot=st.copy()
-    from obspy.core.trace import Trace
-    # Cut the data
-    for tr in st:
-        if 'starttime' in locals():
-            del starttime
-        if swin=='all':
-            for pick in picks:
-                if pick.station==tr.stats.station and \
-                    pick.channel==tr.stats.channel and\
-                    pick.phase=='P':
-                    starttime=pick.time-prepick
-                elif pick.station==tr.stats.station and\
-                    tr.stats.channel[-1] in ['1','2','N','E'] and\
-                    pick.phase=='S':
-                    starttime=pick.time-prepick
-        else:
-            for pick in picks:
-                if pick.station==tr.stats.station and pick.phase==swin:
-                    starttime=pick.time-prepick
-        if 'starttime' in locals():
-            print "Cutting "+tr.stats.station+'.'+tr.stats.channel
-            tr.trim(starttime=starttime,endtime=starttime+length, nearest_sample=False)
-            print tr.stats.starttime
-            print tr.stats.endtime
-            if 'st1' in locals():
-                st1+=tr
-            else:
-                st1=Stream(tr)
-        else:
-            print 'No pick for '+tr.stats.station+'.'+tr.stats.channel
-        # Ensure that the template is the correct length
-        if len(tr.data) == (tr.stats.sampling_rate*length)+1:
-            tr.data=tr.data[0:-1]
-    if plot:
-        tplot(st1, background=stplot.trim(st1.sort(['starttime'])[0].stats.starttime-10,\
-                                        st1.sort(['starttime'])[-1].stats.endtime+10))
-        del stplot
-    del st
-    # st1.plot(size=(800,600))
-    return st1
-

-
[docs]def extract_from_stack(stack, template, length, pre_pick, pre_pad, Z_include=False,\
-                        pre_processed=True, samp_rate=False,\
-                        lowcut=False, highcut=False, filt_order=False):
-    """
-    Function to extract a new template from a stack of previous detections.
-    Requires the stack, the template used to make the detections for the stack,
-    and we need to know if the stack has been pre-processed.
-
-    :type stack: :class:obspy.Stream
-    :param stack: Waveform stack from detections.  Can be of any length and can\
-        have delays already included, or not.
-    :type template: :class:obspy.Stream
-    :param template: Template used to make the detections in the stack. Will use\
-        the delays of this for the new template.
-    :type length: float
-    :param length: Length of new template in seconds
-    :type pre_pick: float
-    :param pre_pick: Extract additional data before the detection, seconds
-    :type pre_pad: float
-    :param pre_pad: Pad used in seconds when extracting the data, e.g. the time\
-        before the detection extracted.  If using clustering.extract_detections\
-        this half the length of the extracted waveform.
-    :type Z_include: bool
-    :param Z_include: If True will include any Z-channels even if there is no\
-        template for this channel, as long as there is a template for this station\
-        at a different channel.  If this is False and Z channels are included in\
-        the template Z channels will be included in the new_template any-way.
-    :type pre_processed: bool
-    :param pre_processed: Have the data been pre-processed, if True (default)\
-        then we will only cut the data here.
-    :type samp_rate: float
-    :param samp_rate: If pre_processed=False then this is required, desired\
-        sampling rate in Hz, defaults to False.
-    :type lowcut: float
-    :param lowcut: If pre_processed=False then this is required, lowcut in Hz,\
-        defaults to False
-    :type highcut: float
-    :param highcut: If pre_processed=False then this is required, highcut in Hz,\
-        defaults to False
-    :type filt_order: int
-    :param filt_order: If pre_processed=False then this is required, filter\
-        order, defaults to False
-
-    :returns: :class:obspy.Stream Newly cut template
-    """
-    from eqcorrscan.utils import pre_processing
-    import warnings
-    new_template=stack.copy() # Copy the data before we trim it to keep the stack safe
-    # Get the earliest time in the template as this is when the detection is
-    # taken.
-    mintime = min([tr.stats.starttime for tr in template])
-    # Generate a list of tuples of (station, channel, delay) with delay in seconds
-    delays=[(tr.stats.station, tr.stats.channel[-1], mintime-tr.stats.starttime)\
-            for tr in template]
-    # Loop through the stack and trim!
-    for tr in new_template:
-        # Process the data if necessary
-        if not pre_processed:
-            new_template=pre_processing.shortproc(new_template, lowcut, highcut,\
-                                                filt_order, samp_rate, 0)
-        # Find the matching delay
-        delay=[d[2] for d in delays if d[0]==tr.stats.station and\
-                                        d[1]==tr.stats.channel[-1]]
-        if Z_include and len(delay) == 0:
-            delay=[d[2] for d in delays if d[0]==tr.stats.station]
-        if len(delay)==0:
-            warnings.warn('No matching template channel found for stack '+\
-                        'channel '+tr.stats.station+' '+tr.stats.channel)
-            new_template.remove(tr)
-        elif len(delay) > 1:
-            warnings.warn('Multiple delays found for stack channel '+\
-                            tr.stats.station+' '+tr.stats.channel)
-        else:
-            tr.trim(starttime=tr.stats.starttime + delay[0] + pre_pad - pre_pick,\
-                    endtime=tr.stats.starttime + delay[0] + pre_pad + length - pre_pick)
-    return new_template
-

-if __name__=='__main__':
-    import sys, os
-    if len(sys.argv) != 2:
-        print 'Requires 1 arguments: sfilename'
-        sys.exit()
-    else:
-        sfile=str(sys.argv[1])
-        template=from_sfile(sfile)
-        from obspy import read
-        template.write(sfile+'_template.ms', format="MSEED")
-
- -
-
- - -
- -
-

- © Copyright 2015, Calum John Chamberlain. -

-
- - Built with Sphinx using a theme provided by Read the Docs. - -
-
-
- -
- -
- - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/_plugins/markdown.rb b/_plugins/markdown.rb new file mode 100644 index 000000000..727bf4027 --- /dev/null +++ b/_plugins/markdown.rb @@ -0,0 +1,23 @@ +=begin + Jekyll tag to include Markdown text from _includes directory preprocessing with Liquid. + Usage: + {% markdown %} + Dependency: + - kramdown +=end +module Jekyll + class MarkdownTag < Liquid::Tag + def initialize(tag_name, text, tokens) + super + @text = text.strip + end + require "kramdown" + def render(context) + tmpl = File.read File.join Dir.pwd, "_includes", @text + site = context.registers[:site] + tmpl = (Liquid::Template.parse tmpl).render site.site_payload + html = Kramdown::Document.new(tmpl).to_html + end + end +end +Liquid::Template.register_tag('markdown', Jekyll::MarkdownTag) diff --git a/_posts/2015-11-20-jekyll-migration.md b/_posts/2015-11-20-jekyll-migration.md new file mode 100644 index 000000000..b133ed944 --- /dev/null +++ b/_posts/2015-11-20-jekyll-migration.md @@ -0,0 +1,16 @@ +--- +layout: post +title: "Jekyll Migration" +date: 2015-11-20 22:58:00 +categories: updates +--- +We have migrated our front-page to a jekyll page, rather than directing you +straight to our API docs (which can now be found +[here](http://eqcorrscan.readthedocs.org/en/latest/?badge=latest)). Hopefully +this page will end up being a place for the developers to update you on +EQcorrscan's progress, what we aim to do, and mostly more textual content +than the real API docs. + +You can always find the code on github however: + +[EQcorrscan-gh]: https://github.com/calum-chamberlain/EQcorrscan diff --git a/_sass/_base.scss b/_sass/_base.scss new file mode 100644 index 000000000..518bf2b0e --- /dev/null +++ b/_sass/_base.scss @@ -0,0 +1,204 @@ +/** + * Reset some basic elements + */ +body, h1, h2, h3, h4, h5, h6, +p, blockquote, pre, hr, +dl, dd, ol, ul, figure { + margin: 0; + padding: 0; +} + + + +/** + * Basic styling + */ +body { + font-family: $base-font-family; + font-size: $base-font-size; + line-height: $base-line-height; + font-weight: 300; + color: $text-color; + background-color: $background-color; + -webkit-text-size-adjust: 100%; +} + + + +/** + * Set `margin-bottom` to maintain vertical rhythm + */ +h1, h2, h3, h4, h5, h6, +p, blockquote, pre, +ul, ol, dl, figure, +%vertical-rhythm { + margin-bottom: $spacing-unit / 2; +} + + + +/** + * Images + */ +img { + max-width: 100%; + vertical-align: middle; +} + + + +/** + * Figures + */ +figure > img { + display: block; +} + +figcaption { + font-size: $small-font-size; +} + + + +/** + * Lists + */ +ul, ol { + margin-left: $spacing-unit; +} + +li { + > ul, + > ol { + margin-bottom: 0; + } +} + + + +/** + * Headings + */ +h1, h2, h3, h4, h5, h6 { + font-weight: 300; +} + + + +/** + * Links + */ +a { + color: $brand-color; + text-decoration: none; + + &:visited { + color: darken($brand-color, 15%); + } + + &:hover { + color: $text-color; + text-decoration: underline; + } +} + + + +/** + * Blockquotes + */ +blockquote { + color: $grey-color; + border-left: 4px solid $grey-color-light; + padding-left: $spacing-unit / 2; + font-size: 18px; + letter-spacing: -1px; + font-style: italic; + + > :last-child { + margin-bottom: 0; + } +} + + + +/** + * Code formatting + */ +pre, +code { + font-size: 15px; + border: 1px solid $grey-color-light; + border-radius: 3px; + background-color: #eef; +} + +code { + padding: 1px 5px; +} + +pre { + padding: 8px 12px; + overflow-x: scroll; + + > code { + border: 0; + padding-right: 0; + padding-left: 0; + } +} + + + +/** + * Wrapper + */ +.wrapper { + max-width: -webkit-calc(800px - (#{$spacing-unit} * 2)); + max-width: calc(800px - (#{$spacing-unit} * 2)); + margin-right: auto; + margin-left: auto; + padding-right: $spacing-unit; + padding-left: $spacing-unit; + @extend %clearfix; + + @include media-query($on-laptop) { + max-width: -webkit-calc(800px - (#{$spacing-unit})); + max-width: calc(800px - (#{$spacing-unit})); + padding-right: $spacing-unit / 2; + padding-left: $spacing-unit / 2; + } +} + + + +/** + * Clearfix + */ +%clearfix { + + &:after { + content: ""; + display: table; + clear: both; + } +} + + + +/** + * Icons + */ +.icon { + + > svg { + display: inline-block; + width: 16px; + height: 16px; + vertical-align: middle; + + path { + fill: $grey-color; + } + } +} diff --git a/_sass/_layout.scss b/_sass/_layout.scss new file mode 100644 index 000000000..def56f896 --- /dev/null +++ b/_sass/_layout.scss @@ -0,0 +1,236 @@ +/** + * Site header + */ +.site-header { + border-top: 5px solid $grey-color-dark; + border-bottom: 1px solid $grey-color-light; + min-height: 56px; + + // Positioning context for the mobile navigation icon + position: relative; +} + +.site-title { + font-size: 26px; + line-height: 56px; + letter-spacing: -1px; + margin-bottom: 0; + float: left; + + &, + &:visited { + color: $grey-color-dark; + } +} + +.site-nav { + float: right; + line-height: 56px; + + .menu-icon { + display: none; + } + + .page-link { + color: $text-color; + line-height: $base-line-height; + + // Gaps between nav items, but not on the first one + &:not(:first-child) { + margin-left: 20px; + } + } + + @include media-query($on-palm) { + position: absolute; + top: 9px; + right: 30px; + background-color: $background-color; + border: 1px solid $grey-color-light; + border-radius: 5px; + text-align: right; + + .menu-icon { + display: block; + float: right; + width: 36px; + height: 26px; + line-height: 0; + padding-top: 10px; + text-align: center; + + > svg { + width: 18px; + height: 15px; + + path { + fill: $grey-color-dark; + } + } + } + + .trigger { + clear: both; + display: none; + } + + &:hover .trigger { + display: block; + padding-bottom: 5px; + } + + .page-link { + display: block; + padding: 5px 10px; + } + } +} + + + +/** + * Site footer + */ +.site-footer { + border-top: 1px solid $grey-color-light; + padding: $spacing-unit 0; +} + +.footer-heading { + font-size: 18px; + margin-bottom: $spacing-unit / 2; +} + +.contact-list, +.social-media-list { + list-style: none; + margin-left: 0; +} + +.footer-col-wrapper { + font-size: 15px; + color: $grey-color; + margin-left: -$spacing-unit / 2; + @extend %clearfix; +} + +.footer-col { + float: left; + margin-bottom: $spacing-unit / 2; + padding-left: $spacing-unit / 2; +} + +.footer-col-1 { + width: -webkit-calc(35% - (#{$spacing-unit} / 2)); + width: calc(35% - (#{$spacing-unit} / 2)); +} + +.footer-col-2 { + width: -webkit-calc(20% - (#{$spacing-unit} / 2)); + width: calc(20% - (#{$spacing-unit} / 2)); +} + +.footer-col-3 { + width: -webkit-calc(45% - (#{$spacing-unit} / 2)); + width: calc(45% - (#{$spacing-unit} / 2)); +} + +@include media-query($on-laptop) { + .footer-col-1, + .footer-col-2 { + width: -webkit-calc(50% - (#{$spacing-unit} / 2)); + width: calc(50% - (#{$spacing-unit} / 2)); + } + + .footer-col-3 { + width: -webkit-calc(100% - (#{$spacing-unit} / 2)); + width: calc(100% - (#{$spacing-unit} / 2)); + } +} + +@include media-query($on-palm) { + .footer-col { + float: none; + width: -webkit-calc(100% - (#{$spacing-unit} / 2)); + width: calc(100% - (#{$spacing-unit} / 2)); + } +} + + + +/** + * Page content + */ +.page-content { + padding: $spacing-unit 0; +} + +.page-heading { + font-size: 20px; +} + +.post-list { + margin-left: 0; + list-style: none; + + > li { + margin-bottom: $spacing-unit; + } +} + +.post-meta { + font-size: $small-font-size; + color: $grey-color; +} + +.post-link { + display: block; + font-size: 24px; +} + + + +/** + * Posts + */ +.post-header { + margin-bottom: $spacing-unit; +} + +.post-title { + font-size: 42px; + letter-spacing: -1px; + line-height: 1; + + @include media-query($on-laptop) { + font-size: 36px; + } +} + +.post-content { + margin-bottom: $spacing-unit; + + h2 { + font-size: 32px; + + @include media-query($on-laptop) { + font-size: 28px; + } + } + + h3 { + font-size: 26px; + + @include media-query($on-laptop) { + font-size: 22px; + } + } + + h4 { + font-size: 20px; + + @include media-query($on-laptop) { + font-size: 18px; + } + } +} diff --git a/_sass/_syntax-highlighting.scss b/_sass/_syntax-highlighting.scss new file mode 100644 index 000000000..e36627da7 --- /dev/null +++ b/_sass/_syntax-highlighting.scss @@ -0,0 +1,67 @@ +/** + * Syntax highlighting styles + */ +.highlight { + background: #fff; + @extend %vertical-rhythm; + + .c { color: #998; font-style: italic } // Comment + .err { color: #a61717; background-color: #e3d2d2 } // Error + .k { font-weight: bold } // Keyword + .o { font-weight: bold } // Operator + .cm { color: #998; font-style: italic } // Comment.Multiline + .cp { color: #999; font-weight: bold } // Comment.Preproc + .c1 { color: #998; font-style: italic } // Comment.Single + .cs { color: #999; font-weight: bold; font-style: italic } // Comment.Special + .gd { color: #000; background-color: #fdd } // Generic.Deleted + .gd .x { color: #000; background-color: #faa } // Generic.Deleted.Specific + .ge { font-style: italic } // Generic.Emph + .gr { color: #a00 } // Generic.Error + .gh { color: #999 } // Generic.Heading + .gi { color: #000; background-color: #dfd } // Generic.Inserted + .gi .x { color: #000; background-color: #afa } // Generic.Inserted.Specific + .go { color: #888 } // Generic.Output + .gp { color: #555 } // Generic.Prompt + .gs { font-weight: bold } // Generic.Strong + .gu { color: #aaa } // Generic.Subheading + .gt { color: #a00 } // Generic.Traceback + .kc { font-weight: bold } // Keyword.Constant + .kd { font-weight: bold } // Keyword.Declaration + .kp { font-weight: bold } // Keyword.Pseudo + .kr { font-weight: bold } // Keyword.Reserved + .kt { color: #458; font-weight: bold } // Keyword.Type + .m { color: #099 } // Literal.Number + .s { color: #d14 } // Literal.String + .na { color: #008080 } // Name.Attribute + .nb { color: #0086B3 } // Name.Builtin + .nc { color: #458; font-weight: bold } // Name.Class + .no { color: #008080 } // Name.Constant + .ni { color: #800080 } // Name.Entity + .ne { color: #900; font-weight: bold } // Name.Exception + .nf { color: #900; font-weight: bold } // Name.Function + .nn { color: #555 } // Name.Namespace + .nt { color: #000080 } // Name.Tag + .nv { color: #008080 } // Name.Variable + .ow { font-weight: bold } // Operator.Word + .w { color: #bbb } // Text.Whitespace + .mf { color: #099 } // Literal.Number.Float + .mh { color: #099 } // Literal.Number.Hex + .mi { color: #099 } // Literal.Number.Integer + .mo { color: #099 } // Literal.Number.Oct + .sb { color: #d14 } // Literal.String.Backtick + .sc { color: #d14 } // Literal.String.Char + .sd { color: #d14 } // Literal.String.Doc + .s2 { color: #d14 } // Literal.String.Double + .se { color: #d14 } // Literal.String.Escape + .sh { color: #d14 } // Literal.String.Heredoc + .si { color: #d14 } // Literal.String.Interpol + .sx { color: #d14 } // Literal.String.Other + .sr { color: #009926 } // Literal.String.Regex + .s1 { color: #d14 } // Literal.String.Single + .ss { color: #990073 } // Literal.String.Symbol + .bp { color: #999 } // Name.Builtin.Pseudo + .vc { color: #008080 } // Name.Variable.Class + .vg { color: #008080 } // Name.Variable.Global + .vi { color: #008080 } // Name.Variable.Instance + .il { color: #099 } // Literal.Number.Integer.Long +} diff --git a/_sources/core.txt b/_sources/core.txt deleted file mode 100644 index f30f70fa4..000000000 --- a/_sources/core.txt +++ /dev/null @@ -1,12 +0,0 @@ -Core -==== - -Core programs for the EQcorrscan project. - -.. toctree:: - :maxdepth: 4 - - submodules/core.bright_lights - submodules/core.template_gen - submodules/core.match_filter - submodules/core.lag_calc diff --git a/_sources/index.txt b/_sources/index.txt deleted file mode 100644 index 64feb1c10..000000000 --- a/_sources/index.txt +++ /dev/null @@ -1,57 +0,0 @@ -.. EQcorrscan documentation master file, created by - sphinx-quickstart on Mon Mar 23 21:20:41 2015. - You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. - -Welcome to EQcorrscan's documentation -===================================== - -.. image:: EQcorrscan_logo.png - :width: 300px - :align: left - :alt: EQcorrscan_logo.png - :target: https://github.com/calum-chamberlain/EQcorrscan/releases - -EQcorrscan ----------- - -A python package to conduct match-filter earthquake detections. Codes are stored -on github, the bleeding edge master is `here `_, or the latest stable(ish) release -can be found `here `_ - -This package contains routines to enable the user to conduct match-filter earthquake -detections using `Obspy `_ bindings when reading -and writing seismic data, and the correlation routine in `openCV `_. -Neither of these packages are installed by this software, due to a range of -licences being implimented. However, both are open-source and should be installed -before using this package. This package was written to impliment the matlab routines -used by Chamberlain et al. (2014) for the detection of low-frequency earthquakes. - -Also within this package are: - -* Clustering routines for seismic data; -* Peak finding algorithm (basic); -* Automatic amplitude picker for local magnitude scale; -* `Seisan `_ S-file integration for database management and routine earthquake location; -* Stacking routines including phase-weighted stacking based on Thurber at al. (2014); -* Brightness based template creation based on the work of Frank et al. (2014) - -This package is written by Calum Chamberlain of Victoria University of Wellington, and -is distributed under the LGPL GNU Licence, Copyright Calum Chamberlain 2015. - -References ----------- -* CJ Chamberlain, DR Shelly, J Townend, TA Stern (2014) `Low‐frequency earthquakes reveal punctuated slow slip on the deep extent of the Alpine Fault, New Zealand `_, *G-cubed*, doi:10.1002/2014GC005436 -* Thurber, C. H., Zeng, X., Thomas, A. M., & Audet, P. (2014). `Phase‐Weighted Stacking Applied to Low‐Frequency Earthquakes `_, *BSSA*, doi:10.1785/0120140077. -* Frank, W. B., & Shapiro, N. M. (2014). `Automatic detection of low-frequency earthquakes (LFEs) based on a beamformed network response `_, *Geophysical Journal International*, 197(2), 1215-1223, doi:10.1093/gji/ggu058. - -Contents: ---------- - -.. toctree:: - :maxdepth: 4 - - intro - tutorial - core - utils diff --git a/_sources/intro.txt b/_sources/intro.txt deleted file mode 100644 index 1dce0aa47..000000000 --- a/_sources/intro.txt +++ /dev/null @@ -1,75 +0,0 @@ -Introduction to the EQcorrscan package -====================================== - -This document is designed to give you an overview of the capabilities and -implementation of the EQcorrscan python module. - -Why EQcorrscan? ---------------- -EQcorrscan is designed to compute matched-filter detections of earthquakes, -or any seismic signal (explosions work *really* well) by comparing templates -with continuous data. The main benefit of EQcorrscan is the level of -parallelisation that can be achieved. By exploiting the fact that each template -does not rely on any other template, detections from a single template through -a day of seismic data can be computed in parallel. By computing these in parallel -rather than a single template through multiple days we reduce IO load. At a low -level, each time-step is computed in parallel by using the openCV matchTemplate -function. The net result is that these functions are *very* scalable, we have -obtained a speed-up from 2 months to 10 hours by migrating from a small cluster -to a large one (for a 6.5 year long continuous dataset and 800 templates). - -Installation ------------- -A fresh install should be as simple as: - -**pip install eqcorrscan** - -Most codes should work without any effort on your part. However you may need to -install the openCV-python package yourself. - -This install has only been tested on Linux and OSX machines. You -should be prepared for small differences in the results of your correlations -relating to foating-point truncation differences between 32 and 64-Bit -machines. - -If you plan to run the bright_lights.py routines you will need to have -NonLinLoc installed on your machine. This is not provided here and should -be sourced from `NonLinLoc `_ This will provide -the Grid2Time routine which is required to set-up a lag-time grid for your -velocity model. You should read the NonLinLoc documentation for more -information regarding how this process works and the input files you are -required to give. - -Functions ---------- - -This package is divided into sub-directories of *core* and *utils*. The -*utils* directory contains simple functions for integration with -`seisan `_, these are in the *Sfile_util.py* -module and functions therein which are essentially barebones and do not have the -full functionality that seisan can handle. *utils* also contains a simple -peak-finding algorithm *find_peaks.py* which looks for peaks within noisy data -above a certain threshold and within windows. Many other functions have been -added to this module to handle the analysis of repeating and near-repeating -earthquakes, including stacking routines, clustering algorithms, magnitude -calculation both by amplitude picking and by singular value decomposition. I -recommend you take a look in here to see if any of it is useful. There are also -some plotting routines that make handling large datasets a little simpler. Most -recently I have added a simple synthetic seismogram generator, which is currently -my main project focus. - -Since earlier versions the *core* modules have moved away from using parameter -files, and instead rely on explicit argument calls. The parameter files are -still included by not documented here (see inside the par files), and remain -useful when generating batch scripts (see the scripts in the github repo). - -Within *core* you will find the core routines to generate templates, -*(template_gen)* search for likely templates *(bright_lights)* and -compute cross-channel correlations from these templates *(match_filter)*. The -bright_lights and match_filter submodules have been designed with parallel -computing in mind, to the extent that the more cores and machines you have -running them the better. These rely on the python multiprocesisng module to -handle parallelisation at lower-levels. You can also do some 'brute-force' -parallelisation on a day level when computing detections over multiple days. -I tend to run one day per node of a cluster computer, with each day running -templates in parallel. diff --git a/_sources/submodules/core.bright_lights.txt b/_sources/submodules/core.bright_lights.txt deleted file mode 100644 index 1863ff07b..000000000 --- a/_sources/submodules/core.bright_lights.txt +++ /dev/null @@ -1,5 +0,0 @@ -bright_lights -------------- -.. automodule:: bright_lights - :members: - :private-members: diff --git a/_sources/submodules/core.lag_calc.txt b/_sources/submodules/core.lag_calc.txt deleted file mode 100644 index 71e3b3b6b..000000000 --- a/_sources/submodules/core.lag_calc.txt +++ /dev/null @@ -1,5 +0,0 @@ -lag_calc --------- -.. automodule:: lag_calc - :members: - :private-members: diff --git a/_sources/submodules/core.match_filter.txt b/_sources/submodules/core.match_filter.txt deleted file mode 100644 index ad149361d..000000000 --- a/_sources/submodules/core.match_filter.txt +++ /dev/null @@ -1,5 +0,0 @@ -match_filter ------------- -.. automodule:: match_filter - :members: - :private-members: diff --git a/_sources/submodules/core.template_gen.txt b/_sources/submodules/core.template_gen.txt deleted file mode 100644 index a60969be7..000000000 --- a/_sources/submodules/core.template_gen.txt +++ /dev/null @@ -1,5 +0,0 @@ -template_gen ------------- -.. automodule:: template_gen - :members: - :private-members: diff --git a/_sources/submodules/utils.EQcorrscan_plotting.txt b/_sources/submodules/utils.EQcorrscan_plotting.txt deleted file mode 100644 index ecdd0e1ab..000000000 --- a/_sources/submodules/utils.EQcorrscan_plotting.txt +++ /dev/null @@ -1,5 +0,0 @@ -EQcorrscan_plotting -------------------- -.. automodule:: EQcorrscan_plotting - :members: - :private-members: diff --git a/_sources/submodules/utils.Sfile_util.txt b/_sources/submodules/utils.Sfile_util.txt deleted file mode 100644 index 50f77f8a8..000000000 --- a/_sources/submodules/utils.Sfile_util.txt +++ /dev/null @@ -1,5 +0,0 @@ -Sfile_util ----------- -.. automodule:: Sfile_util - :members: - :private-members: diff --git a/_sources/submodules/utils.catalogue2DD.txt b/_sources/submodules/utils.catalogue2DD.txt deleted file mode 100644 index ad96cd9e9..000000000 --- a/_sources/submodules/utils.catalogue2DD.txt +++ /dev/null @@ -1,6 +0,0 @@ - -catalogue2DD ------------- -.. automodule:: catalogue2DD - :members: - :private-members: diff --git a/_sources/submodules/utils.clustering.txt b/_sources/submodules/utils.clustering.txt deleted file mode 100644 index 506a5a35b..000000000 --- a/_sources/submodules/utils.clustering.txt +++ /dev/null @@ -1,6 +0,0 @@ - -clustering ----------- -.. automodule:: clustering - :members: - :private-members: diff --git a/_sources/submodules/utils.findpeaks.txt b/_sources/submodules/utils.findpeaks.txt deleted file mode 100644 index 685c2d2e4..000000000 --- a/_sources/submodules/utils.findpeaks.txt +++ /dev/null @@ -1,6 +0,0 @@ - -findpeaks ----------- -.. automodule:: findpeaks - :members: - :private-members: diff --git a/_sources/submodules/utils.mag_calc.txt b/_sources/submodules/utils.mag_calc.txt deleted file mode 100644 index f19705194..000000000 --- a/_sources/submodules/utils.mag_calc.txt +++ /dev/null @@ -1,6 +0,0 @@ - -mag_calc --------- -.. automodule:: mag_calc - :members: - :private-members: diff --git a/_sources/submodules/utils.pre_processing.txt b/_sources/submodules/utils.pre_processing.txt deleted file mode 100644 index 9d4fcf55c..000000000 --- a/_sources/submodules/utils.pre_processing.txt +++ /dev/null @@ -1,5 +0,0 @@ -pre_processing --------------- -.. automodule:: pre_processing - :members: - :private-members: diff --git a/_sources/submodules/utils.stacking.txt b/_sources/submodules/utils.stacking.txt deleted file mode 100644 index 81e70b808..000000000 --- a/_sources/submodules/utils.stacking.txt +++ /dev/null @@ -1,6 +0,0 @@ - -stacking --------- -.. automodule:: stacking - :members: - :private-members: diff --git a/_sources/tutorial.txt b/_sources/tutorial.txt deleted file mode 100644 index ae50dd93f..000000000 --- a/_sources/tutorial.txt +++ /dev/null @@ -1,85 +0,0 @@ -EQcorrscan tutorial -=================== -Welcome to EQcorrscan - this package is designed to compute earthquake detections -using a paralleled match-filter network cross-correlation routine. The inner -loop of this package is the cross-correaltion of templates of seismic data -with daylong seismic data. This inner function is the openCV.match_template -function - this appears to be a well optimized cross-correlation function written -in c++. Cross-correlations are computed in the frequency domain for large -datasets, for which a day of seismic data usually qualifies. - -Before continuing with this tutorial please check that you have installed all -the pre-requisite modules, as this won't be done for you. The list of these is -in the Introduction section of this documentation. - -As you will see, this package is divided into three main sub-modules, the -Core, Utils and Par sub-modules. The Core sub-module contains the main, high-level -functions: - -:bright_lights: - A brightness based template detection routine; -:template_gen: - A series of routines to generate templates for match-filter detection - from continuous or cut data, with pick-times defined either manually, or from a - *Seian* s-file; -:match_filter: - The main match-filter routines, this is split into several - smaller functions to allow python based parallelisation; -:lag_calc: - Routines for calculating optimal lag-times for events detected - by the match-filter routine, these lags can then be used to define new picks - for high accuracy reloactions. - -The Par sub-module contains parameter files which are provided to allow for simple -bulk processing of large datasets. These *MUST* be edited by the user for their -dataset. - -The Utils sub-module contains useful, but small functions. These functions are -rarely cpu intensive, but perform vital operations, such as reading *Seisan* s-files, -finding peaks in noisy data, converting a seisan database to hypoDD formatted -files and computing cross-correlations between detections for hypoDD (a double -difference reloaction software), calculating magnitudes, clustering detections, -stacking detections, making pretty plots, and processing seismic data in the -same way repeatedly using *Obspy*'s functionality. - - -Match-filter detection ----------------------- - -In this section we will discuss generating a template from a *Seisan* s-file, and -using this template to scan for similar earthquakes within a day of data. This single -template and single day of data does not truely exploit the parallel operations within -this package however, so you would be encouraged to think about where parallel operations -occur (*hint, the code can run one template per cpu*), and why there are --instance and ---splits flags (*hint, if you have heaps of memory and cpus you can do some brute -force day parallelisation!*). - -The following script is included in the top-level directory alongside the full-scripts -used by the author to generate a 6.5 year long catalogue of low-frequency earthquakes -for the central Southern Alps of New Zealand. - -This tutorial script highlights the ability of the match-filter method in detecting -earthquakes of near-repeating nature. The dataset is a day of data taken from the -New Zealand national database, and the Southern Alp Microearthquake Borehole Array -(SAMBA) network (Boese et al. 2012). This day was found to contain a swarm of -earthquakes, as published by Boese et al. (2014), the s-file provided is one of -these events. - -The main processing flow is outlined in the figure below, note the main speedups -in this process are achioeved by running multiple templates at once, however this -increaces memory usage. If memory is problem there are flags (mem_issue) in the -match_filter.py source that can be turned on - the codes will then write temporary -files, which is slower, but can allow for more data crunching at once, your trade-off, -your call. - -.. image:: processing_flow.png - :width: 600px - :align: center - :alt: processing_flow.png - -References ----------- -* CM Boese, J Townend, E Smith, T Stern (2012). `Microseismicity and stress in the vicinity of the Alpine Fault, central Southern Alps, New Zealand `_, *JGR*, doi:10.1029/2011JB008460 -* CM Boese, KM Jacobs, EGC Smith, TA Stern, J Townend (2014). `Background and delayed-triggered swarms in the central Southern Alps, South Island, New Zealand `_, *G-cubed*, doi:10.1002/2013GC005171 - -.. literalinclude:: ../tutorial.py diff --git a/_sources/utils.txt b/_sources/utils.txt deleted file mode 100644 index 39659fd52..000000000 --- a/_sources/utils.txt +++ /dev/null @@ -1,17 +0,0 @@ -Utils -===== - -Utility functions for integration with 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They return false on IE (#2968). - isFunction: function( obj ) { - return jQuery.type(obj) === "function"; - }, - - isArray: Array.isArray || function( obj ) { - return jQuery.type(obj) === "array"; - }, - - isWindow: function( obj ) { - /* jshint eqeqeq: false */ - return obj != null && obj == obj.window; - }, - - isNumeric: function( obj ) { - // parseFloat NaNs numeric-cast false positives (null|true|false|"") - // ...but misinterprets leading-number strings, particularly hex literals ("0x...") - // subtraction forces infinities to NaN - return !jQuery.isArray( obj ) && obj - parseFloat( obj ) >= 0; - }, - - isEmptyObject: function( obj ) { - var name; - for ( name in obj ) { - return false; - } - return true; - }, - - isPlainObject: function( obj ) { - var key; - - // Must be an Object. - // Because of IE, we also have to check the presence of the constructor property. - // Make sure that DOM nodes and window objects don't pass through, as well - if ( !obj || jQuery.type(obj) !== "object" || obj.nodeType || jQuery.isWindow( obj ) ) { - return false; - } - - try { - // Not own constructor property must be Object - if ( obj.constructor && - !hasOwn.call(obj, "constructor") && - !hasOwn.call(obj.constructor.prototype, "isPrototypeOf") ) { - return false; - } - } catch ( e ) { - // IE8,9 Will throw exceptions on certain host objects #9897 - return false; - } - - // Support: IE<9 - // Handle iteration over inherited properties before own properties. - if ( support.ownLast ) { - for ( key in obj ) { - return hasOwn.call( obj, key ); - } - } - - // Own properties are enumerated firstly, so to speed up, - // if last one is own, then all properties are own. - for ( key in obj ) {} - - return key === undefined || hasOwn.call( obj, key ); - }, - - type: function( obj ) { - if ( obj == null ) { - return obj + ""; - } - return typeof obj === "object" || typeof obj === "function" ? - class2type[ toString.call(obj) ] || "object" : - typeof obj; - }, - - // Evaluates a script in a global context - // Workarounds based on findings by Jim Driscoll - // http://weblogs.java.net/blog/driscoll/archive/2009/09/08/eval-javascript-global-context - globalEval: function( data ) { - if ( data && jQuery.trim( data ) ) { - // We use execScript on Internet Explorer - // We use an anonymous function so that context is window - // rather than jQuery in Firefox - ( window.execScript || function( data ) { - window[ "eval" ].call( window, data ); - } )( data ); - } - }, - - // Convert dashed to camelCase; used by the css and data modules - // Microsoft forgot to hump their vendor prefix (#9572) - camelCase: function( string ) { - return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); - }, - - nodeName: function( elem, name ) { - return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); - }, - - // args is for internal usage only - each: function( obj, callback, args ) { - var value, - i = 0, - length = obj.length, - isArray = isArraylike( obj ); - - if ( args ) { - if ( isArray ) { - for ( ; i < length; i++ ) { - value = callback.apply( obj[ i ], args ); - - if ( value === false ) { - break; - } - } - } else { - for ( i in obj ) { - value = callback.apply( obj[ i ], args ); - - if ( value === false ) { - break; - } - } - } - - // A special, fast, case for the most common use of each - } else { - if ( isArray ) { - for ( ; i < length; i++ ) { - value = callback.call( obj[ i ], i, obj[ i ] ); - - if ( value === false ) { - break; - } - } - } else { - for ( i in obj ) { - value = callback.call( obj[ i ], i, obj[ i ] ); - - if ( value === false ) { - break; - } - } - } - } - - return obj; - }, - - // Support: Android<4.1, IE<9 - trim: function( text ) { - return text == null ? - "" : - ( text + "" ).replace( rtrim, "" ); - }, - - // results is for internal usage only - makeArray: function( arr, results ) { - var ret = results || []; - - if ( arr != null ) { - if ( isArraylike( Object(arr) ) ) { - jQuery.merge( ret, - typeof arr === "string" ? - [ arr ] : arr - ); - } else { - push.call( ret, arr ); - } - } - - return ret; - }, - - inArray: function( elem, arr, i ) { - var len; - - if ( arr ) { - if ( indexOf ) { - return indexOf.call( arr, elem, i ); - } - - len = arr.length; - i = i ? i < 0 ? Math.max( 0, len + i ) : i : 0; - - for ( ; i < len; i++ ) { - // Skip accessing in sparse arrays - if ( i in arr && arr[ i ] === elem ) { - return i; - } - } - } - - return -1; - }, - - merge: function( first, second ) { - var len = +second.length, - j = 0, - i = first.length; - - while ( j < len ) { - first[ i++ ] = second[ j++ ]; - } - - // Support: IE<9 - // Workaround casting of .length to NaN on otherwise arraylike objects (e.g., NodeLists) - if ( len !== len ) { - while ( second[j] !== undefined ) { - first[ i++ ] = second[ j++ ]; - } - } - - first.length = i; - - return first; - }, - - grep: function( elems, callback, invert ) { - var callbackInverse, - matches = [], - i = 0, - length = elems.length, - callbackExpect = !invert; - - // Go through the array, only saving the items - // that pass the validator function - for ( ; i < length; i++ ) { - callbackInverse = !callback( elems[ i ], i ); - if ( callbackInverse !== callbackExpect ) { - matches.push( elems[ i ] ); - } - } - - return matches; - }, - - // arg is for internal usage only - map: function( elems, callback, arg ) { - var value, - i = 0, - length = elems.length, - isArray = isArraylike( elems ), - ret = []; - - // Go through the array, translating each of the items to their new values - if ( isArray ) { - for ( ; i < length; i++ ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - - // Go through every key on the object, - } else { - for ( i in elems ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - } - - // Flatten any nested arrays - return concat.apply( [], ret ); - }, - - // A global GUID counter for objects - guid: 1, - - // Bind a function to a context, optionally partially applying any - // arguments. - proxy: function( fn, context ) { - var args, proxy, tmp; - - if ( typeof context === "string" ) { - tmp = fn[ context ]; - context = fn; - fn = tmp; - } - - // Quick check to determine if target is callable, in the spec - // this throws a TypeError, but we will just return undefined. - if ( !jQuery.isFunction( fn ) ) { - return undefined; - } - - // Simulated bind - args = slice.call( arguments, 2 ); - proxy = function() { - return fn.apply( context || this, args.concat( slice.call( arguments ) ) ); - }; - - // Set the guid of unique handler to the same of original handler, so it can be removed - proxy.guid = fn.guid = fn.guid || jQuery.guid++; - - return proxy; - }, - - now: function() { - return +( new Date() ); - }, - - // jQuery.support is not used in Core but other projects attach their - // properties to it so it needs to exist. - support: support -}); - -// Populate the class2type map -jQuery.each("Boolean Number String Function Array Date RegExp Object Error".split(" "), function(i, name) { - class2type[ "[object " + name + "]" ] = name.toLowerCase(); -}); - -function isArraylike( obj ) { - var length = obj.length, - type = jQuery.type( obj ); - - if ( type === "function" || jQuery.isWindow( obj ) ) { - return false; - } - - if ( obj.nodeType === 1 && length ) { - return true; - } - - return type === "array" || length === 0 || - typeof length === "number" && length > 0 && ( length - 1 ) in obj; -} -var Sizzle = -/*! - * Sizzle CSS Selector Engine v1.10.19 - * http://sizzlejs.com/ - * - * Copyright 2013 jQuery Foundation, Inc. and other contributors - * Released under the MIT license - * http://jquery.org/license - * - * Date: 2014-04-18 - */ -(function( window ) { - -var i, - support, - Expr, - getText, - isXML, - tokenize, - compile, - select, - outermostContext, - sortInput, - hasDuplicate, - - // Local document vars - setDocument, - document, - docElem, - documentIsHTML, - rbuggyQSA, - rbuggyMatches, - matches, - contains, - - // Instance-specific data - expando = "sizzle" + -(new Date()), - preferredDoc = window.document, - dirruns = 0, - done = 0, - classCache = createCache(), - tokenCache = createCache(), - compilerCache = createCache(), - sortOrder = function( a, b ) { - if ( a === b ) { - hasDuplicate = true; - } - return 0; - }, - - // General-purpose constants - strundefined = typeof undefined, - MAX_NEGATIVE = 1 << 31, - - // Instance methods - hasOwn = ({}).hasOwnProperty, - arr = [], - pop = arr.pop, - push_native = arr.push, - push = arr.push, - slice = arr.slice, - // Use a stripped-down indexOf if we can't use a native one - indexOf = arr.indexOf || function( elem ) { - var i = 0, - len = this.length; - for ( ; i < len; i++ ) { - if ( this[i] === elem ) { - return i; - } - } - return -1; - }, - - booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped", - - // Regular expressions - - // Whitespace characters http://www.w3.org/TR/css3-selectors/#whitespace - whitespace = "[\\x20\\t\\r\\n\\f]", - // http://www.w3.org/TR/css3-syntax/#characters - characterEncoding = "(?:\\\\.|[\\w-]|[^\\x00-\\xa0])+", - - // Loosely modeled on CSS identifier characters - // An unquoted value should be a CSS identifier http://www.w3.org/TR/css3-selectors/#attribute-selectors - // Proper syntax: http://www.w3.org/TR/CSS21/syndata.html#value-def-identifier - identifier = characterEncoding.replace( "w", "w#" ), - - // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors - attributes = "\\[" + whitespace + "*(" + characterEncoding + ")(?:" + whitespace + - // Operator (capture 2) - "*([*^$|!~]?=)" + whitespace + - // "Attribute values must be CSS identifiers [capture 5] or strings [capture 3 or capture 4]" - "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + whitespace + - "*\\]", - - pseudos = ":(" + characterEncoding + ")(?:\\((" + - // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: - // 1. quoted (capture 3; capture 4 or capture 5) - "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + - // 2. simple (capture 6) - "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + - // 3. anything else (capture 2) - ".*" + - ")\\)|)", - - // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter - rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$", "g" ), - - rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), - rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + "*" ), - - rattributeQuotes = new RegExp( "=" + whitespace + "*([^\\]'\"]*?)" + whitespace + "*\\]", "g" ), - - rpseudo = new RegExp( pseudos ), - ridentifier = new RegExp( "^" + identifier + "$" ), - - matchExpr = { - "ID": new RegExp( "^#(" + characterEncoding + ")" ), - "CLASS": new RegExp( "^\\.(" + characterEncoding + ")" ), - "TAG": new RegExp( "^(" + characterEncoding.replace( "w", "w*" ) + ")" ), - "ATTR": new RegExp( "^" + attributes ), - "PSEUDO": new RegExp( "^" + pseudos ), - "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + whitespace + - "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + whitespace + - "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), - "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), - // For use in libraries implementing .is() - // We use this for POS matching in `select` - "needsContext": new RegExp( "^" + whitespace + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + - whitespace + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) - }, - - rinputs = /^(?:input|select|textarea|button)$/i, - rheader = /^h\d$/i, - - rnative = /^[^{]+\{\s*\[native \w/, - - // Easily-parseable/retrievable ID or TAG or CLASS selectors - rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, - - rsibling = /[+~]/, - rescape = /'|\\/g, - - // CSS escapes http://www.w3.org/TR/CSS21/syndata.html#escaped-characters - runescape = new RegExp( "\\\\([\\da-f]{1,6}" + whitespace + "?|(" + whitespace + ")|.)", "ig" ), - funescape = function( _, escaped, escapedWhitespace ) { - var high = "0x" + escaped - 0x10000; - // NaN means non-codepoint - // Support: Firefox<24 - // Workaround erroneous numeric interpretation of +"0x" - return high !== high || escapedWhitespace ? - escaped : - high < 0 ? - // BMP codepoint - String.fromCharCode( high + 0x10000 ) : - // Supplemental Plane codepoint (surrogate pair) - String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); - }; - -// Optimize for push.apply( _, NodeList ) -try { - push.apply( - (arr = slice.call( preferredDoc.childNodes )), - preferredDoc.childNodes - ); - // Support: Android<4.0 - // Detect silently failing push.apply - arr[ preferredDoc.childNodes.length ].nodeType; -} catch ( e ) { - push = { apply: arr.length ? - - // Leverage slice if possible - function( target, els ) { - push_native.apply( target, slice.call(els) ); - } : - - // Support: IE<9 - // Otherwise append directly - function( target, els ) { - var j = target.length, - i = 0; - // Can't trust NodeList.length - while ( (target[j++] = els[i++]) ) {} - target.length = j - 1; - } - }; -} - -function Sizzle( selector, context, results, seed ) { - var match, elem, m, nodeType, - // QSA vars - i, groups, old, nid, newContext, newSelector; - - if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) { - setDocument( context ); - } - - context = context || document; - results = results || []; - - if ( !selector || typeof selector !== "string" ) { - return results; - } - - if ( (nodeType = context.nodeType) !== 1 && nodeType !== 9 ) { - return []; - } - - if ( documentIsHTML && !seed ) { - - // Shortcuts - if ( (match = rquickExpr.exec( selector )) ) { - // Speed-up: Sizzle("#ID") - if ( (m = match[1]) ) { - if ( nodeType === 9 ) { - elem = context.getElementById( m ); - // Check parentNode to catch when Blackberry 4.6 returns - // nodes that are no longer in the document (jQuery #6963) - if ( elem && elem.parentNode ) { - // Handle the case where IE, Opera, and Webkit return items - // by name instead of ID - if ( elem.id === m ) { - results.push( elem ); - return results; - } - } else { - return results; - } - } else { - // Context is not a document - if ( context.ownerDocument && (elem = context.ownerDocument.getElementById( m )) && - contains( context, elem ) && elem.id === m ) { - results.push( elem ); - return results; - } - } - - // Speed-up: Sizzle("TAG") - } else if ( match[2] ) { - push.apply( results, context.getElementsByTagName( selector ) ); - return results; - - // Speed-up: Sizzle(".CLASS") - } else if ( (m = match[3]) && support.getElementsByClassName && context.getElementsByClassName ) { - push.apply( results, context.getElementsByClassName( m ) ); - return results; - } - } - - // QSA path - if ( support.qsa && (!rbuggyQSA || !rbuggyQSA.test( selector )) ) { - nid = old = expando; - newContext = context; - newSelector = nodeType === 9 && selector; - - // qSA works strangely on Element-rooted queries - // We can work around this by specifying an extra ID on the root - // and working up from there (Thanks to Andrew Dupont for the technique) - // IE 8 doesn't work on object elements - if ( nodeType === 1 && context.nodeName.toLowerCase() !== "object" ) { - groups = tokenize( selector ); - - if ( (old = context.getAttribute("id")) ) { - nid = old.replace( rescape, "\\$&" ); - } else { - context.setAttribute( "id", nid ); - } - nid = "[id='" + nid + "'] "; - - i = groups.length; - while ( i-- ) { - groups[i] = nid + toSelector( groups[i] ); - } - newContext = rsibling.test( selector ) && testContext( context.parentNode ) || context; - newSelector = groups.join(","); - } - - if ( newSelector ) { - try { - push.apply( results, - newContext.querySelectorAll( newSelector ) - ); - return results; - } catch(qsaError) { - } finally { - if ( !old ) { - context.removeAttribute("id"); - } - } - } - } - } - - // All others - return select( selector.replace( rtrim, "$1" ), context, results, seed ); -} - -/** - * Create key-value caches of limited size - * @returns {Function(string, Object)} Returns the Object data after storing it on itself with - * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) - * deleting the oldest entry - */ -function createCache() { - var keys = []; - - function cache( key, value ) { - // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) - if ( keys.push( key + " " ) > Expr.cacheLength ) { - // Only keep the most recent entries - delete cache[ keys.shift() ]; - } - return (cache[ key + " " ] = value); - } - return cache; -} - -/** - * Mark a function for special use by Sizzle - * @param {Function} fn The function to mark - */ -function markFunction( fn ) { - fn[ expando ] = true; - return fn; -} - -/** - * Support testing using an element - * @param {Function} fn Passed the created div and expects a boolean result - */ -function assert( fn ) { - var div = document.createElement("div"); - - try { - return !!fn( div ); - } catch (e) { - return false; - } finally { - // Remove from its parent by default - if ( div.parentNode ) { - div.parentNode.removeChild( div ); - } - // release memory in IE - div = null; - } -} - -/** - * Adds the same handler for all of the specified attrs - * @param {String} attrs Pipe-separated list of attributes - * @param {Function} handler The method that will be applied - */ -function addHandle( attrs, handler ) { - var arr = attrs.split("|"), - i = attrs.length; - - while ( i-- ) { - Expr.attrHandle[ arr[i] ] = handler; - } -} - -/** - * Checks document order of two siblings - * @param {Element} a - * @param {Element} b - * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b - */ -function siblingCheck( a, b ) { - var cur = b && a, - diff = cur && a.nodeType === 1 && b.nodeType === 1 && - ( ~b.sourceIndex || MAX_NEGATIVE ) - - ( ~a.sourceIndex || MAX_NEGATIVE ); - - // Use IE sourceIndex if available on both nodes - if ( diff ) { - return diff; - } - - // Check if b follows a - if ( cur ) { - while ( (cur = cur.nextSibling) ) { - if ( cur === b ) { - return -1; - } - } - } - - return a ? 1 : -1; -} - -/** - * Returns a function to use in pseudos for input types - * @param {String} type - */ -function createInputPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for buttons - * @param {String} type - */ -function createButtonPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return (name === "input" || name === "button") && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for positionals - * @param {Function} fn - */ -function createPositionalPseudo( fn ) { - return markFunction(function( argument ) { - argument = +argument; - return markFunction(function( seed, matches ) { - var j, - matchIndexes = fn( [], seed.length, argument ), - i = matchIndexes.length; - - // Match elements found at the specified indexes - while ( i-- ) { - if ( seed[ (j = matchIndexes[i]) ] ) { - seed[j] = !(matches[j] = seed[j]); - } - } - }); - }); -} - -/** - * Checks a node for validity as a Sizzle context - * @param {Element|Object=} context - * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value - */ -function testContext( context ) { - return context && typeof context.getElementsByTagName !== strundefined && context; -} - -// Expose support vars for convenience -support = Sizzle.support = {}; - -/** - * Detects XML nodes - * @param {Element|Object} elem An element or a document - * @returns {Boolean} True iff elem is a non-HTML XML node - */ -isXML = Sizzle.isXML = function( elem ) { - // documentElement is verified for cases where it doesn't yet exist - // (such as loading iframes in IE - #4833) - var documentElement = elem && (elem.ownerDocument || elem).documentElement; - return documentElement ? documentElement.nodeName !== "HTML" : false; -}; - -/** - * Sets document-related variables once based on the current document - * @param {Element|Object} [doc] An element or document object to use to set the document - * @returns {Object} Returns the current document - */ -setDocument = Sizzle.setDocument = function( node ) { - var hasCompare, - doc = node ? node.ownerDocument || node : preferredDoc, - parent = doc.defaultView; - - // If no document and documentElement is available, return - if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) { - return document; - } - - // Set our document - document = doc; - docElem = doc.documentElement; - - // Support tests - documentIsHTML = !isXML( doc ); - - // Support: IE>8 - // If iframe document is assigned to "document" variable and if iframe has been reloaded, - // IE will throw "permission denied" error when accessing "document" variable, see jQuery #13936 - // IE6-8 do not support the defaultView property so parent will be undefined - if ( parent && parent !== parent.top ) { - // IE11 does not have attachEvent, so all must suffer - if ( parent.addEventListener ) { - parent.addEventListener( "unload", function() { - setDocument(); - }, false ); - } else if ( parent.attachEvent ) { - parent.attachEvent( "onunload", function() { - setDocument(); - }); - } - } - - /* Attributes - ---------------------------------------------------------------------- */ - - // Support: IE<8 - // Verify that getAttribute really returns attributes and not properties (excepting IE8 booleans) - support.attributes = assert(function( div ) { - div.className = "i"; - return !div.getAttribute("className"); - }); - - /* getElement(s)By* - ---------------------------------------------------------------------- */ - - // Check if getElementsByTagName("*") returns only elements - support.getElementsByTagName = assert(function( div ) { - div.appendChild( doc.createComment("") ); - return !div.getElementsByTagName("*").length; - }); - - // Check if getElementsByClassName can be trusted - support.getElementsByClassName = rnative.test( doc.getElementsByClassName ) && assert(function( div ) { - div.innerHTML = "
"; - - // Support: Safari<4 - // Catch class over-caching - div.firstChild.className = "i"; - // Support: Opera<10 - // Catch gEBCN failure to find non-leading classes - return div.getElementsByClassName("i").length === 2; - }); - - // Support: IE<10 - // Check if getElementById returns elements by name - // The broken getElementById methods don't pick up programatically-set names, - // so use a roundabout getElementsByName test - support.getById = assert(function( div ) { - docElem.appendChild( div ).id = expando; - return !doc.getElementsByName || !doc.getElementsByName( expando ).length; - }); - - // ID find and filter - if ( support.getById ) { - Expr.find["ID"] = function( id, context ) { - if ( typeof context.getElementById !== strundefined && documentIsHTML ) { - var m = context.getElementById( id ); - // Check parentNode to catch when Blackberry 4.6 returns - // nodes that are no longer in the document #6963 - return m && m.parentNode ? [ m ] : []; - } - }; - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - return elem.getAttribute("id") === attrId; - }; - }; - } else { - // Support: IE6/7 - // getElementById is not reliable as a find shortcut - delete Expr.find["ID"]; - - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - var node = typeof elem.getAttributeNode !== strundefined && elem.getAttributeNode("id"); - return node && node.value === attrId; - }; - }; - } - - // Tag - Expr.find["TAG"] = support.getElementsByTagName ? - function( tag, context ) { - if ( typeof context.getElementsByTagName !== strundefined ) { - return context.getElementsByTagName( tag ); - } - } : - function( tag, context ) { - var elem, - tmp = [], - i = 0, - results = context.getElementsByTagName( tag ); - - // Filter out possible comments - if ( tag === "*" ) { - while ( (elem = results[i++]) ) { - if ( elem.nodeType === 1 ) { - tmp.push( elem ); - } - } - - return tmp; - } - return results; - }; - - // Class - Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) { - if ( typeof context.getElementsByClassName !== strundefined && documentIsHTML ) { - return context.getElementsByClassName( className ); - } - }; - - /* QSA/matchesSelector - ---------------------------------------------------------------------- */ - - // QSA and matchesSelector support - - // matchesSelector(:active) reports false when true (IE9/Opera 11.5) - rbuggyMatches = []; - - // qSa(:focus) reports false when true (Chrome 21) - // We allow this because of a bug in IE8/9 that throws an error - // whenever `document.activeElement` is accessed on an iframe - // So, we allow :focus to pass through QSA all the time to avoid the IE error - // See http://bugs.jquery.com/ticket/13378 - rbuggyQSA = []; - - if ( (support.qsa = rnative.test( doc.querySelectorAll )) ) { - // Build QSA regex - // Regex strategy adopted from Diego Perini - assert(function( div ) { - // Select is set to empty string on purpose - // This is to test IE's treatment of not explicitly - // setting a boolean content attribute, - // since its presence should be enough - // http://bugs.jquery.com/ticket/12359 - div.innerHTML = ""; - - // Support: IE8, Opera 11-12.16 - // Nothing should be selected when empty strings follow ^= or $= or *= - // The test attribute must be unknown in Opera but "safe" for WinRT - // http://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section - if ( div.querySelectorAll("[msallowclip^='']").length ) { - rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); - } - - // Support: IE8 - // Boolean attributes and "value" are not treated correctly - if ( !div.querySelectorAll("[selected]").length ) { - rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); - } - - // Webkit/Opera - :checked should return selected option elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - // IE8 throws error here and will not see later tests - if ( !div.querySelectorAll(":checked").length ) { - rbuggyQSA.push(":checked"); - } - }); - - assert(function( div ) { - // Support: Windows 8 Native Apps - // The type and name attributes are restricted during .innerHTML assignment - var input = doc.createElement("input"); - input.setAttribute( "type", "hidden" ); - div.appendChild( input ).setAttribute( "name", "D" ); - - // Support: IE8 - // Enforce case-sensitivity of name attribute - if ( div.querySelectorAll("[name=d]").length ) { - rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); - } - - // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) - // IE8 throws error here and will not see later tests - if ( !div.querySelectorAll(":enabled").length ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Opera 10-11 does not throw on post-comma invalid pseudos - div.querySelectorAll("*,:x"); - rbuggyQSA.push(",.*:"); - }); - } - - if ( (support.matchesSelector = rnative.test( (matches = docElem.matches || - docElem.webkitMatchesSelector || - docElem.mozMatchesSelector || - docElem.oMatchesSelector || - docElem.msMatchesSelector) )) ) { - - assert(function( div ) { - // Check to see if it's possible to do matchesSelector - // on a disconnected node (IE 9) - support.disconnectedMatch = matches.call( div, "div" ); - - // This should fail with an exception - // Gecko does not error, returns false instead - matches.call( div, "[s!='']:x" ); - rbuggyMatches.push( "!=", pseudos ); - }); - } - - rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") ); - rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") ); - - /* Contains - ---------------------------------------------------------------------- */ - hasCompare = rnative.test( docElem.compareDocumentPosition ); - - // Element contains another - // Purposefully does not implement inclusive descendent - // As in, an element does not contain itself - contains = hasCompare || rnative.test( docElem.contains ) ? - function( a, b ) { - var adown = a.nodeType === 9 ? a.documentElement : a, - bup = b && b.parentNode; - return a === bup || !!( bup && bup.nodeType === 1 && ( - adown.contains ? - adown.contains( bup ) : - a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 - )); - } : - function( a, b ) { - if ( b ) { - while ( (b = b.parentNode) ) { - if ( b === a ) { - return true; - } - } - } - return false; - }; - - /* Sorting - ---------------------------------------------------------------------- */ - - // Document order sorting - sortOrder = hasCompare ? - function( a, b ) { - - // Flag for duplicate removal - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - // Sort on method existence if only one input has compareDocumentPosition - var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; - if ( compare ) { - return compare; - } - - // Calculate position if both inputs belong to the same document - compare = ( a.ownerDocument || a ) === ( b.ownerDocument || b ) ? - a.compareDocumentPosition( b ) : - - // Otherwise we know they are disconnected - 1; - - // Disconnected nodes - if ( compare & 1 || - (!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) { - - // Choose the first element that is related to our preferred document - if ( a === doc || a.ownerDocument === preferredDoc && contains(preferredDoc, a) ) { - return -1; - } - if ( b === doc || b.ownerDocument === preferredDoc && contains(preferredDoc, b) ) { - return 1; - } - - // Maintain original order - return sortInput ? - ( indexOf.call( sortInput, a ) - indexOf.call( sortInput, b ) ) : - 0; - } - - return compare & 4 ? -1 : 1; - } : - function( a, b ) { - // Exit early if the nodes are identical - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - var cur, - i = 0, - aup = a.parentNode, - bup = b.parentNode, - ap = [ a ], - bp = [ b ]; - - // Parentless nodes are either documents or disconnected - if ( !aup || !bup ) { - return a === doc ? -1 : - b === doc ? 1 : - aup ? -1 : - bup ? 1 : - sortInput ? - ( indexOf.call( sortInput, a ) - indexOf.call( sortInput, b ) ) : - 0; - - // If the nodes are siblings, we can do a quick check - } else if ( aup === bup ) { - return siblingCheck( a, b ); - } - - // Otherwise we need full lists of their ancestors for comparison - cur = a; - while ( (cur = cur.parentNode) ) { - ap.unshift( cur ); - } - cur = b; - while ( (cur = cur.parentNode) ) { - bp.unshift( cur ); - } - - // Walk down the tree looking for a discrepancy - while ( ap[i] === bp[i] ) { - i++; - } - - return i ? - // Do a sibling check if the nodes have a common ancestor - siblingCheck( ap[i], bp[i] ) : - - // Otherwise nodes in our document sort first - ap[i] === preferredDoc ? -1 : - bp[i] === preferredDoc ? 1 : - 0; - }; - - return doc; -}; - -Sizzle.matches = function( expr, elements ) { - return Sizzle( expr, null, null, elements ); -}; - -Sizzle.matchesSelector = function( elem, expr ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - // Make sure that attribute selectors are quoted - expr = expr.replace( rattributeQuotes, "='$1']" ); - - if ( support.matchesSelector && documentIsHTML && - ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && - ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { - - try { - var ret = matches.call( elem, expr ); - - // IE 9's matchesSelector returns false on disconnected nodes - if ( ret || support.disconnectedMatch || - // As well, disconnected nodes are said to be in a document - // fragment in IE 9 - elem.document && elem.document.nodeType !== 11 ) { - return ret; - } - } catch(e) {} - } - - return Sizzle( expr, document, null, [ elem ] ).length > 0; -}; - -Sizzle.contains = function( context, elem ) { - // Set document vars if needed - if ( ( context.ownerDocument || context ) !== document ) { - setDocument( context ); - } - return contains( context, elem ); -}; - -Sizzle.attr = function( elem, name ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - var fn = Expr.attrHandle[ name.toLowerCase() ], - // Don't get fooled by Object.prototype properties (jQuery #13807) - val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? - fn( elem, name, !documentIsHTML ) : - undefined; - - return val !== undefined ? - val : - support.attributes || !documentIsHTML ? - elem.getAttribute( name ) : - (val = elem.getAttributeNode(name)) && val.specified ? - val.value : - null; -}; - -Sizzle.error = function( msg ) { - throw new Error( "Syntax error, unrecognized expression: " + msg ); -}; - -/** - * Document sorting and removing duplicates - * @param {ArrayLike} results - */ -Sizzle.uniqueSort = function( results ) { - var elem, - duplicates = [], - j = 0, - i = 0; - - // Unless we *know* we can detect duplicates, assume their presence - hasDuplicate = !support.detectDuplicates; - sortInput = !support.sortStable && results.slice( 0 ); - results.sort( sortOrder ); - - if ( hasDuplicate ) { - while ( (elem = results[i++]) ) { - if ( elem === results[ i ] ) { - j = duplicates.push( i ); - } - } - while ( j-- ) { - results.splice( duplicates[ j ], 1 ); - } - } - - // Clear input after sorting to release objects - // See https://github.com/jquery/sizzle/pull/225 - sortInput = null; - - return results; -}; - -/** - * Utility function for retrieving the text value of an array of DOM nodes - * @param {Array|Element} elem - */ -getText = Sizzle.getText = function( elem ) { - var node, - ret = "", - i = 0, - nodeType = elem.nodeType; - - if ( !nodeType ) { - // If no nodeType, this is expected to be an array - while ( (node = elem[i++]) ) { - // Do not traverse comment nodes - ret += getText( node ); - } - } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { - // Use textContent for elements - // innerText usage removed for consistency of new lines (jQuery #11153) - if ( typeof elem.textContent === "string" ) { - return elem.textContent; - } else { - // Traverse its children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - ret += getText( elem ); - } - } - } else if ( nodeType === 3 || nodeType === 4 ) { - return elem.nodeValue; - } - // Do not include comment or processing instruction nodes - - return ret; -}; - -Expr = Sizzle.selectors = { - - // Can be adjusted by the user - cacheLength: 50, - - createPseudo: markFunction, - - match: matchExpr, - - attrHandle: {}, - - find: {}, - - relative: { - ">": { dir: "parentNode", first: true }, - " ": { dir: "parentNode" }, - "+": { dir: "previousSibling", first: true }, - "~": { dir: "previousSibling" } - }, - - preFilter: { - "ATTR": function( match ) { - match[1] = match[1].replace( runescape, funescape ); - - // Move the given value to match[3] whether quoted or unquoted - match[3] = ( match[3] || match[4] || match[5] || "" ).replace( runescape, funescape ); - - if ( match[2] === "~=" ) { - match[3] = " " + match[3] + " "; - } - - return match.slice( 0, 4 ); - }, - - "CHILD": function( match ) { - /* matches from matchExpr["CHILD"] - 1 type (only|nth|...) - 2 what (child|of-type) - 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) - 4 xn-component of xn+y argument ([+-]?\d*n|) - 5 sign of xn-component - 6 x of xn-component - 7 sign of y-component - 8 y of y-component - */ - match[1] = match[1].toLowerCase(); - - if ( match[1].slice( 0, 3 ) === "nth" ) { - // nth-* requires argument - if ( !match[3] ) { - Sizzle.error( match[0] ); - } - - // numeric x and y parameters for Expr.filter.CHILD - // remember that false/true cast respectively to 0/1 - match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) ); - match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" ); - - // other types prohibit arguments - } else if ( match[3] ) { - Sizzle.error( match[0] ); - } - - return match; - }, - - "PSEUDO": function( match ) { - var excess, - unquoted = !match[6] && match[2]; - - if ( matchExpr["CHILD"].test( match[0] ) ) { - return null; - } - - // Accept quoted arguments as-is - if ( match[3] ) { - match[2] = match[4] || match[5] || ""; - - // Strip excess characters from unquoted arguments - } else if ( unquoted && rpseudo.test( unquoted ) && - // Get excess from tokenize (recursively) - (excess = tokenize( unquoted, true )) && - // advance to the next closing parenthesis - (excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) { - - // excess is a negative index - match[0] = match[0].slice( 0, excess ); - match[2] = unquoted.slice( 0, excess ); - } - - // Return only captures needed by the pseudo filter method (type and argument) - return match.slice( 0, 3 ); - } - }, - - filter: { - - "TAG": function( nodeNameSelector ) { - var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); - return nodeNameSelector === "*" ? - function() { return true; } : - function( elem ) { - return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; - }; - }, - - "CLASS": function( className ) { - var pattern = classCache[ className + " " ]; - - return pattern || - (pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) && - classCache( className, function( elem ) { - return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== strundefined && elem.getAttribute("class") || "" ); - }); - }, - - "ATTR": function( name, operator, check ) { - return function( elem ) { - var result = Sizzle.attr( elem, name ); - - if ( result == null ) { - return operator === "!="; - } - if ( !operator ) { - return true; - } - - result += ""; - - return operator === "=" ? result === check : - operator === "!=" ? result !== check : - operator === "^=" ? check && result.indexOf( check ) === 0 : - operator === "*=" ? check && result.indexOf( check ) > -1 : - operator === "$=" ? check && result.slice( -check.length ) === check : - operator === "~=" ? ( " " + result + " " ).indexOf( check ) > -1 : - operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : - false; - }; - }, - - "CHILD": function( type, what, argument, first, last ) { - var simple = type.slice( 0, 3 ) !== "nth", - forward = type.slice( -4 ) !== "last", - ofType = what === "of-type"; - - return first === 1 && last === 0 ? - - // Shortcut for :nth-*(n) - function( elem ) { - return !!elem.parentNode; - } : - - function( elem, context, xml ) { - var cache, outerCache, node, diff, nodeIndex, start, - dir = simple !== forward ? "nextSibling" : "previousSibling", - parent = elem.parentNode, - name = ofType && elem.nodeName.toLowerCase(), - useCache = !xml && !ofType; - - if ( parent ) { - - // :(first|last|only)-(child|of-type) - if ( simple ) { - while ( dir ) { - node = elem; - while ( (node = node[ dir ]) ) { - if ( ofType ? node.nodeName.toLowerCase() === name : node.nodeType === 1 ) { - return false; - } - } - // Reverse direction for :only-* (if we haven't yet done so) - start = dir = type === "only" && !start && "nextSibling"; - } - return true; - } - - start = [ forward ? parent.firstChild : parent.lastChild ]; - - // non-xml :nth-child(...) stores cache data on `parent` - if ( forward && useCache ) { - // Seek `elem` from a previously-cached index - outerCache = parent[ expando ] || (parent[ expando ] = {}); - cache = outerCache[ type ] || []; - nodeIndex = cache[0] === dirruns && cache[1]; - diff = cache[0] === dirruns && cache[2]; - node = nodeIndex && parent.childNodes[ nodeIndex ]; - - while ( (node = ++nodeIndex && node && node[ dir ] || - - // Fallback to seeking `elem` from the start - (diff = nodeIndex = 0) || start.pop()) ) { - - // When found, cache indexes on `parent` and break - if ( node.nodeType === 1 && ++diff && node === elem ) { - outerCache[ type ] = [ dirruns, nodeIndex, diff ]; - break; - } - } - - // Use previously-cached element index if available - } else if ( useCache && (cache = (elem[ expando ] || (elem[ expando ] = {}))[ type ]) && cache[0] === dirruns ) { - diff = cache[1]; - - // xml :nth-child(...) or :nth-last-child(...) or :nth(-last)?-of-type(...) - } else { - // Use the same loop as above to seek `elem` from the start - while ( (node = ++nodeIndex && node && node[ dir ] || - (diff = nodeIndex = 0) || start.pop()) ) { - - if ( ( ofType ? node.nodeName.toLowerCase() === name : node.nodeType === 1 ) && ++diff ) { - // Cache the index of each encountered element - if ( useCache ) { - (node[ expando ] || (node[ expando ] = {}))[ type ] = [ dirruns, diff ]; - } - - if ( node === elem ) { - break; - } - } - } - } - - // Incorporate the offset, then check against cycle size - diff -= last; - return diff === first || ( diff % first === 0 && diff / first >= 0 ); - } - }; - }, - - "PSEUDO": function( pseudo, argument ) { - // pseudo-class names are case-insensitive - // http://www.w3.org/TR/selectors/#pseudo-classes - // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters - // Remember that setFilters inherits from pseudos - var args, - fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || - Sizzle.error( "unsupported pseudo: " + pseudo ); - - // The user may use createPseudo to indicate that - // arguments are needed to create the filter function - // just as Sizzle does - if ( fn[ expando ] ) { - return fn( argument ); - } - - // But maintain support for old signatures - if ( fn.length > 1 ) { - args = [ pseudo, pseudo, "", argument ]; - return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? - markFunction(function( seed, matches ) { - var idx, - matched = fn( seed, argument ), - i = matched.length; - while ( i-- ) { - idx = indexOf.call( seed, matched[i] ); - seed[ idx ] = !( matches[ idx ] = matched[i] ); - } - }) : - function( elem ) { - return fn( elem, 0, args ); - }; - } - - return fn; - } - }, - - pseudos: { - // Potentially complex pseudos - "not": markFunction(function( selector ) { - // Trim the selector passed to compile - // to avoid treating leading and trailing - // spaces as combinators - var input = [], - results = [], - matcher = compile( selector.replace( rtrim, "$1" ) ); - - return matcher[ expando ] ? - markFunction(function( seed, matches, context, xml ) { - var elem, - unmatched = matcher( seed, null, xml, [] ), - i = seed.length; - - // Match elements unmatched by `matcher` - while ( i-- ) { - if ( (elem = unmatched[i]) ) { - seed[i] = !(matches[i] = elem); - } - } - }) : - function( elem, context, xml ) { - input[0] = elem; - matcher( input, null, xml, results ); - return !results.pop(); - }; - }), - - "has": markFunction(function( selector ) { - return function( elem ) { - return Sizzle( selector, elem ).length > 0; - }; - }), - - "contains": markFunction(function( text ) { - return function( elem ) { - return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1; - }; - }), - - // "Whether an element is represented by a :lang() selector - // is based solely on the element's language value - // being equal to the identifier C, - // or beginning with the identifier C immediately followed by "-". - // The matching of C against the element's language value is performed case-insensitively. - // The identifier C does not have to be a valid language name." - // http://www.w3.org/TR/selectors/#lang-pseudo - "lang": markFunction( function( lang ) { - // lang value must be a valid identifier - if ( !ridentifier.test(lang || "") ) { - Sizzle.error( "unsupported lang: " + lang ); - } - lang = lang.replace( runescape, funescape ).toLowerCase(); - return function( elem ) { - var elemLang; - do { - if ( (elemLang = documentIsHTML ? - elem.lang : - elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) { - - elemLang = elemLang.toLowerCase(); - return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; - } - } while ( (elem = elem.parentNode) && elem.nodeType === 1 ); - return false; - }; - }), - - // Miscellaneous - "target": function( elem ) { - var hash = window.location && window.location.hash; - return hash && hash.slice( 1 ) === elem.id; - }, - - "root": function( elem ) { - return elem === docElem; - }, - - "focus": function( elem ) { - return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex); - }, - - // Boolean properties - "enabled": function( elem ) { - return elem.disabled === false; - }, - - "disabled": function( elem ) { - return elem.disabled === true; - }, - - "checked": function( elem ) { - // In CSS3, :checked should return both checked and selected elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - var nodeName = elem.nodeName.toLowerCase(); - return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected); - }, - - "selected": function( elem ) { - // Accessing this property makes selected-by-default - // options in Safari work properly - if ( elem.parentNode ) { - elem.parentNode.selectedIndex; - } - - return elem.selected === true; - }, - - // Contents - "empty": function( elem ) { - // http://www.w3.org/TR/selectors/#empty-pseudo - // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), - // but not by others (comment: 8; processing instruction: 7; etc.) - // nodeType < 6 works because attributes (2) do not appear as children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - if ( elem.nodeType < 6 ) { - return false; - } - } - return true; - }, - - "parent": function( elem ) { - return !Expr.pseudos["empty"]( elem ); - }, - - // Element/input types - "header": function( elem ) { - return rheader.test( elem.nodeName ); - }, - - "input": function( elem ) { - return rinputs.test( elem.nodeName ); - }, - - "button": function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === "button" || name === "button"; - }, - - "text": function( elem ) { - var attr; - return elem.nodeName.toLowerCase() === "input" && - elem.type === "text" && - - // Support: IE<8 - // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" - ( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === "text" ); - }, - - // Position-in-collection - "first": createPositionalPseudo(function() { - return [ 0 ]; - }), - - "last": createPositionalPseudo(function( matchIndexes, length ) { - return [ length - 1 ]; - }), - - "eq": createPositionalPseudo(function( matchIndexes, length, argument ) { - return [ argument < 0 ? argument + length : argument ]; - }), - - "even": createPositionalPseudo(function( matchIndexes, length ) { - var i = 0; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "odd": createPositionalPseudo(function( matchIndexes, length ) { - var i = 1; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "lt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; --i >= 0; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "gt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; ++i < length; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }) - } -}; - -Expr.pseudos["nth"] = Expr.pseudos["eq"]; - -// Add button/input type pseudos -for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { - Expr.pseudos[ i ] = createInputPseudo( i ); -} -for ( i in { submit: true, reset: true } ) { - Expr.pseudos[ i ] = createButtonPseudo( i ); -} - -// Easy API for creating new setFilters -function setFilters() {} -setFilters.prototype = Expr.filters = Expr.pseudos; -Expr.setFilters = new setFilters(); - -tokenize = Sizzle.tokenize = function( selector, parseOnly ) { - var matched, match, tokens, type, - soFar, groups, preFilters, - cached = tokenCache[ selector + " " ]; - - if ( cached ) { - return parseOnly ? 0 : cached.slice( 0 ); - } - - soFar = selector; - groups = []; - preFilters = Expr.preFilter; - - while ( soFar ) { - - // Comma and first run - if ( !matched || (match = rcomma.exec( soFar )) ) { - if ( match ) { - // Don't consume trailing commas as valid - soFar = soFar.slice( match[0].length ) || soFar; - } - groups.push( (tokens = []) ); - } - - matched = false; - - // Combinators - if ( (match = rcombinators.exec( soFar )) ) { - matched = match.shift(); - tokens.push({ - value: matched, - // Cast descendant combinators to space - type: match[0].replace( rtrim, " " ) - }); - soFar = soFar.slice( matched.length ); - } - - // Filters - for ( type in Expr.filter ) { - if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] || - (match = preFilters[ type ]( match ))) ) { - matched = match.shift(); - tokens.push({ - value: matched, - type: type, - matches: match - }); - soFar = soFar.slice( matched.length ); - } - } - - if ( !matched ) { - break; - } - } - - // Return the length of the invalid excess - // if we're just parsing - // Otherwise, throw an error or return tokens - return parseOnly ? - soFar.length : - soFar ? - Sizzle.error( selector ) : - // Cache the tokens - tokenCache( selector, groups ).slice( 0 ); -}; - -function toSelector( tokens ) { - var i = 0, - len = tokens.length, - selector = ""; - for ( ; i < len; i++ ) { - selector += tokens[i].value; - } - return selector; -} - -function addCombinator( matcher, combinator, base ) { - var dir = combinator.dir, - checkNonElements = base && dir === "parentNode", - doneName = done++; - - return combinator.first ? - // Check against closest ancestor/preceding element - function( elem, context, xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - return matcher( elem, context, xml ); - } - } - } : - - // Check against all ancestor/preceding elements - function( elem, context, xml ) { - var oldCache, outerCache, - newCache = [ dirruns, doneName ]; - - // We can't set arbitrary data on XML nodes, so they don't benefit from dir caching - if ( xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - if ( matcher( elem, context, xml ) ) { - return true; - } - } - } - } else { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - outerCache = elem[ expando ] || (elem[ expando ] = {}); - if ( (oldCache = outerCache[ dir ]) && - oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { - - // Assign to newCache so results back-propagate to previous elements - return (newCache[ 2 ] = oldCache[ 2 ]); - } else { - // Reuse newcache so results back-propagate to previous elements - outerCache[ dir ] = newCache; - - // A match means we're done; a fail means we have to keep checking - if ( (newCache[ 2 ] = matcher( elem, context, xml )) ) { - return true; - } - } - } - } - } - }; -} - -function elementMatcher( matchers ) { - return matchers.length > 1 ? - function( elem, context, xml ) { - var i = matchers.length; - while ( i-- ) { - if ( !matchers[i]( elem, context, xml ) ) { - return false; - } - } - return true; - } : - matchers[0]; -} - -function multipleContexts( selector, contexts, results ) { - var i = 0, - len = contexts.length; - for ( ; i < len; i++ ) { - Sizzle( selector, contexts[i], results ); - } - return results; -} - -function condense( unmatched, map, filter, context, xml ) { - var elem, - newUnmatched = [], - i = 0, - len = unmatched.length, - mapped = map != null; - - for ( ; i < len; i++ ) { - if ( (elem = unmatched[i]) ) { - if ( !filter || filter( elem, context, xml ) ) { - newUnmatched.push( elem ); - if ( mapped ) { - map.push( i ); - } - } - } - } - - return newUnmatched; -} - -function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { - if ( postFilter && !postFilter[ expando ] ) { - postFilter = setMatcher( postFilter ); - } - if ( postFinder && !postFinder[ expando ] ) { - postFinder = setMatcher( postFinder, postSelector ); - } - return markFunction(function( seed, results, context, xml ) { - var temp, i, elem, - preMap = [], - postMap = [], - preexisting = results.length, - - // Get initial elements from seed or context - elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ), - - // Prefilter to get matcher input, preserving a map for seed-results synchronization - matcherIn = preFilter && ( seed || !selector ) ? - condense( elems, preMap, preFilter, context, xml ) : - elems, - - matcherOut = matcher ? - // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, - postFinder || ( seed ? preFilter : preexisting || postFilter ) ? - - // ...intermediate processing is necessary - [] : - - // ...otherwise use results directly - results : - matcherIn; - - // Find primary matches - if ( matcher ) { - matcher( matcherIn, matcherOut, context, xml ); - } - - // Apply postFilter - if ( postFilter ) { - temp = condense( matcherOut, postMap ); - postFilter( temp, [], context, xml ); - - // Un-match failing elements by moving them back to matcherIn - i = temp.length; - while ( i-- ) { - if ( (elem = temp[i]) ) { - matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem); - } - } - } - - if ( seed ) { - if ( postFinder || preFilter ) { - if ( postFinder ) { - // Get the final matcherOut by condensing this intermediate into postFinder contexts - temp = []; - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) ) { - // Restore matcherIn since elem is not yet a final match - temp.push( (matcherIn[i] = elem) ); - } - } - postFinder( null, (matcherOut = []), temp, xml ); - } - - // Move matched elements from seed to results to keep them synchronized - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) && - (temp = postFinder ? indexOf.call( seed, elem ) : preMap[i]) > -1 ) { - - seed[temp] = !(results[temp] = elem); - } - } - } - - // Add elements to results, through postFinder if defined - } else { - matcherOut = condense( - matcherOut === results ? - matcherOut.splice( preexisting, matcherOut.length ) : - matcherOut - ); - if ( postFinder ) { - postFinder( null, results, matcherOut, xml ); - } else { - push.apply( results, matcherOut ); - } - } - }); -} - -function matcherFromTokens( tokens ) { - var checkContext, matcher, j, - len = tokens.length, - leadingRelative = Expr.relative[ tokens[0].type ], - implicitRelative = leadingRelative || Expr.relative[" "], - i = leadingRelative ? 1 : 0, - - // The foundational matcher ensures that elements are reachable from top-level context(s) - matchContext = addCombinator( function( elem ) { - return elem === checkContext; - }, implicitRelative, true ), - matchAnyContext = addCombinator( function( elem ) { - return indexOf.call( checkContext, elem ) > -1; - }, implicitRelative, true ), - matchers = [ function( elem, context, xml ) { - return ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( - (checkContext = context).nodeType ? - matchContext( elem, context, xml ) : - matchAnyContext( elem, context, xml ) ); - } ]; - - for ( ; i < len; i++ ) { - if ( (matcher = Expr.relative[ tokens[i].type ]) ) { - matchers = [ addCombinator(elementMatcher( matchers ), matcher) ]; - } else { - matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches ); - - // Return special upon seeing a positional matcher - if ( matcher[ expando ] ) { - // Find the next relative operator (if any) for proper handling - j = ++i; - for ( ; j < len; j++ ) { - if ( Expr.relative[ tokens[j].type ] ) { - break; - } - } - return setMatcher( - i > 1 && elementMatcher( matchers ), - i > 1 && toSelector( - // If the preceding token was a descendant combinator, insert an implicit any-element `*` - tokens.slice( 0, i - 1 ).concat({ value: tokens[ i - 2 ].type === " " ? "*" : "" }) - ).replace( rtrim, "$1" ), - matcher, - i < j && matcherFromTokens( tokens.slice( i, j ) ), - j < len && matcherFromTokens( (tokens = tokens.slice( j )) ), - j < len && toSelector( tokens ) - ); - } - matchers.push( matcher ); - } - } - - return elementMatcher( matchers ); -} - -function matcherFromGroupMatchers( elementMatchers, setMatchers ) { - var bySet = setMatchers.length > 0, - byElement = elementMatchers.length > 0, - superMatcher = function( seed, context, xml, results, outermost ) { - var elem, j, matcher, - matchedCount = 0, - i = "0", - unmatched = seed && [], - setMatched = [], - contextBackup = outermostContext, - // We must always have either seed elements or outermost context - elems = seed || byElement && Expr.find["TAG"]( "*", outermost ), - // Use integer dirruns iff this is the outermost matcher - dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1), - len = elems.length; - - if ( outermost ) { - outermostContext = context !== document && context; - } - - // Add elements passing elementMatchers directly to results - // Keep `i` a string if there are no elements so `matchedCount` will be "00" below - // Support: IE<9, Safari - // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id - for ( ; i !== len && (elem = elems[i]) != null; i++ ) { - if ( byElement && elem ) { - j = 0; - while ( (matcher = elementMatchers[j++]) ) { - if ( matcher( elem, context, xml ) ) { - results.push( elem ); - break; - } - } - if ( outermost ) { - dirruns = dirrunsUnique; - } - } - - // Track unmatched elements for set filters - if ( bySet ) { - // They will have gone through all possible matchers - if ( (elem = !matcher && elem) ) { - matchedCount--; - } - - // Lengthen the array for every element, matched or not - if ( seed ) { - unmatched.push( elem ); - } - } - } - - // Apply set filters to unmatched elements - matchedCount += i; - if ( bySet && i !== matchedCount ) { - j = 0; - while ( (matcher = setMatchers[j++]) ) { - matcher( unmatched, setMatched, context, xml ); - } - - if ( seed ) { - // Reintegrate element matches to eliminate the need for sorting - if ( matchedCount > 0 ) { - while ( i-- ) { - if ( !(unmatched[i] || setMatched[i]) ) { - setMatched[i] = pop.call( results ); - } - } - } - - // Discard index placeholder values to get only actual matches - setMatched = condense( setMatched ); - } - - // Add matches to results - push.apply( results, setMatched ); - - // Seedless set matches succeeding multiple successful matchers stipulate sorting - if ( outermost && !seed && setMatched.length > 0 && - ( matchedCount + setMatchers.length ) > 1 ) { - - Sizzle.uniqueSort( results ); - } - } - - // Override manipulation of globals by nested matchers - if ( outermost ) { - dirruns = dirrunsUnique; - outermostContext = contextBackup; - } - - return unmatched; - }; - - return bySet ? - markFunction( superMatcher ) : - superMatcher; -} - -compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { - var i, - setMatchers = [], - elementMatchers = [], - cached = compilerCache[ selector + " " ]; - - if ( !cached ) { - // Generate a function of recursive functions that can be used to check each element - if ( !match ) { - match = tokenize( selector ); - } - i = match.length; - while ( i-- ) { - cached = matcherFromTokens( match[i] ); - if ( cached[ expando ] ) { - setMatchers.push( cached ); - } else { - elementMatchers.push( cached ); - } - } - - // Cache the compiled function - cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) ); - - // Save selector and tokenization - cached.selector = selector; - } - return cached; -}; - -/** - * A low-level selection function that works with Sizzle's compiled - * selector functions - * @param {String|Function} selector A selector or a pre-compiled - * selector function built with Sizzle.compile - * @param {Element} context - * @param {Array} [results] - * @param {Array} [seed] A set of elements to match against - */ -select = Sizzle.select = function( selector, context, results, seed ) { - var i, tokens, token, type, find, - compiled = typeof selector === "function" && selector, - match = !seed && tokenize( (selector = compiled.selector || selector) ); - - results = results || []; - - // Try to minimize operations if there is no seed and only one group - if ( match.length === 1 ) { - - // Take a shortcut and set the context if the root selector is an ID - tokens = match[0] = match[0].slice( 0 ); - if ( tokens.length > 2 && (token = tokens[0]).type === "ID" && - support.getById && context.nodeType === 9 && documentIsHTML && - Expr.relative[ tokens[1].type ] ) { - - context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0]; - if ( !context ) { - return results; - - // Precompiled matchers will still verify ancestry, so step up a level - } else if ( compiled ) { - context = context.parentNode; - } - - selector = selector.slice( tokens.shift().value.length ); - } - - // Fetch a seed set for right-to-left matching - i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length; - while ( i-- ) { - token = tokens[i]; - - // Abort if we hit a combinator - if ( Expr.relative[ (type = token.type) ] ) { - break; - } - if ( (find = Expr.find[ type ]) ) { - // Search, expanding context for leading sibling combinators - if ( (seed = find( - token.matches[0].replace( runescape, funescape ), - rsibling.test( tokens[0].type ) && testContext( context.parentNode ) || context - )) ) { - - // If seed is empty or no tokens remain, we can return early - tokens.splice( i, 1 ); - selector = seed.length && toSelector( tokens ); - if ( !selector ) { - push.apply( results, seed ); - return results; - } - - break; - } - } - } - } - - // Compile and execute a filtering function if one is not provided - // Provide `match` to avoid retokenization if we modified the selector above - ( compiled || compile( selector, match ) )( - seed, - context, - !documentIsHTML, - results, - rsibling.test( selector ) && testContext( context.parentNode ) || context - ); - return results; -}; - -// One-time assignments - -// Sort stability -support.sortStable = expando.split("").sort( sortOrder ).join("") === expando; - -// Support: Chrome<14 -// Always assume duplicates if they aren't passed to the comparison function -support.detectDuplicates = !!hasDuplicate; - -// Initialize against the default document -setDocument(); - -// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) -// Detached nodes confoundingly follow *each other* -support.sortDetached = assert(function( div1 ) { - // Should return 1, but returns 4 (following) - return div1.compareDocumentPosition( document.createElement("div") ) & 1; -}); - -// Support: IE<8 -// Prevent attribute/property "interpolation" -// http://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx -if ( !assert(function( div ) { - div.innerHTML = ""; - return div.firstChild.getAttribute("href") === "#" ; -}) ) { - addHandle( "type|href|height|width", function( elem, name, isXML ) { - if ( !isXML ) { - return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); - } - }); -} - -// Support: IE<9 -// Use defaultValue in place of getAttribute("value") -if ( !support.attributes || !assert(function( div ) { - div.innerHTML = ""; - div.firstChild.setAttribute( "value", "" ); - return div.firstChild.getAttribute( "value" ) === ""; -}) ) { - addHandle( "value", function( elem, name, isXML ) { - if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { - return elem.defaultValue; - } - }); -} - -// Support: IE<9 -// Use getAttributeNode to fetch booleans when getAttribute lies -if ( !assert(function( div ) { - return div.getAttribute("disabled") == null; -}) ) { - addHandle( booleans, function( elem, name, isXML ) { - var val; - if ( !isXML ) { - return elem[ name ] === true ? name.toLowerCase() : - (val = elem.getAttributeNode( name )) && val.specified ? - val.value : - null; - } - }); -} - -return Sizzle; - -})( window ); - - - -jQuery.find = Sizzle; -jQuery.expr = Sizzle.selectors; -jQuery.expr[":"] = jQuery.expr.pseudos; -jQuery.unique = Sizzle.uniqueSort; -jQuery.text = Sizzle.getText; -jQuery.isXMLDoc = Sizzle.isXML; -jQuery.contains = Sizzle.contains; - - - -var rneedsContext = jQuery.expr.match.needsContext; - -var rsingleTag = (/^<(\w+)\s*\/?>(?:<\/\1>|)$/); - - - -var risSimple = /^.[^:#\[\.,]*$/; - -// Implement the identical functionality for filter and not -function winnow( elements, qualifier, not ) { - if ( jQuery.isFunction( qualifier ) ) { - return jQuery.grep( elements, function( elem, i ) { - /* jshint -W018 */ - return !!qualifier.call( elem, i, elem ) !== not; - }); - - } - - if ( qualifier.nodeType ) { - return jQuery.grep( elements, function( elem ) { - return ( elem === qualifier ) !== not; - }); - - } - - if ( typeof qualifier === "string" ) { - if ( risSimple.test( qualifier ) ) { - return jQuery.filter( qualifier, elements, not ); - } - - qualifier = jQuery.filter( qualifier, elements ); - } - - return jQuery.grep( elements, function( elem ) { - return ( jQuery.inArray( elem, qualifier ) >= 0 ) !== not; - }); -} - -jQuery.filter = function( expr, elems, not ) { - var elem = elems[ 0 ]; - - if ( not ) { - expr = ":not(" + expr + ")"; - } - - return elems.length === 1 && elem.nodeType === 1 ? - jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [] : - jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { - return elem.nodeType === 1; - })); -}; - -jQuery.fn.extend({ - find: function( selector ) { - var i, - ret = [], - self = this, - len = self.length; - - if ( typeof selector !== "string" ) { - return this.pushStack( jQuery( selector ).filter(function() { - for ( i = 0; i < len; i++ ) { - if ( jQuery.contains( self[ i ], this ) ) { - return true; - } - } - }) ); - } - - for ( i = 0; i < len; i++ ) { - jQuery.find( selector, self[ i ], ret ); - } - - // Needed because $( selector, context ) becomes $( context ).find( selector ) - ret = this.pushStack( len > 1 ? jQuery.unique( ret ) : ret ); - ret.selector = this.selector ? this.selector + " " + selector : selector; - return ret; - }, - filter: function( selector ) { - return this.pushStack( winnow(this, selector || [], false) ); - }, - not: function( selector ) { - return this.pushStack( winnow(this, selector || [], true) ); - }, - is: function( selector ) { - return !!winnow( - this, - - // If this is a positional/relative selector, check membership in the returned set - // so $("p:first").is("p:last") won't return true for a doc with two "p". - typeof selector === "string" && rneedsContext.test( selector ) ? - jQuery( selector ) : - selector || [], - false - ).length; - } -}); - - -// Initialize a jQuery object - - -// A central reference to the root jQuery(document) -var rootjQuery, - - // Use the correct document accordingly with window argument (sandbox) - document = window.document, - - // A simple way to check for HTML strings - // Prioritize #id over to avoid XSS via location.hash (#9521) - // Strict HTML recognition (#11290: must start with <) - rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]*))$/, - - init = jQuery.fn.init = function( selector, context ) { - var match, elem; - - // HANDLE: $(""), $(null), $(undefined), $(false) - if ( !selector ) { - return this; - } - - // Handle HTML strings - if ( typeof selector === "string" ) { - if ( selector.charAt(0) === "<" && selector.charAt( selector.length - 1 ) === ">" && selector.length >= 3 ) { - // Assume that strings that start and end with <> are HTML and skip the regex check - match = [ null, selector, null ]; - - } else { - match = rquickExpr.exec( selector ); - } - - // Match html or make sure no context is specified for #id - if ( match && (match[1] || !context) ) { - - // HANDLE: $(html) -> $(array) - if ( match[1] ) { - context = context instanceof jQuery ? context[0] : context; - - // scripts is true for back-compat - // Intentionally let the error be thrown if parseHTML is not present - jQuery.merge( this, jQuery.parseHTML( - match[1], - context && context.nodeType ? context.ownerDocument || context : document, - true - ) ); - - // HANDLE: $(html, props) - if ( rsingleTag.test( match[1] ) && jQuery.isPlainObject( context ) ) { - for ( match in context ) { - // Properties of context are called as methods if possible - if ( jQuery.isFunction( this[ match ] ) ) { - this[ match ]( context[ match ] ); - - // ...and otherwise set as attributes - } else { - this.attr( match, context[ match ] ); - } - } - } - - return this; - - // HANDLE: $(#id) - } else { - elem = document.getElementById( match[2] ); - - // Check parentNode to catch when Blackberry 4.6 returns - // nodes that are no longer in the document #6963 - if ( elem && elem.parentNode ) { - // Handle the case where IE and Opera return items - // by name instead of ID - if ( elem.id !== match[2] ) { - return rootjQuery.find( selector ); - } - - // Otherwise, we inject the element directly into the jQuery object - this.length = 1; - this[0] = elem; - } - - this.context = document; - this.selector = selector; - return this; - } - - // HANDLE: $(expr, $(...)) - } else if ( !context || context.jquery ) { - return ( context || rootjQuery ).find( selector ); - - // HANDLE: $(expr, context) - // (which is just equivalent to: $(context).find(expr) - } else { - return this.constructor( context ).find( selector ); - } - - // HANDLE: $(DOMElement) - } else if ( selector.nodeType ) { - this.context = this[0] = selector; - this.length = 1; - return this; - - // HANDLE: $(function) - // Shortcut for document ready - } else if ( jQuery.isFunction( selector ) ) { - return typeof rootjQuery.ready !== "undefined" ? - rootjQuery.ready( selector ) : - // Execute immediately if ready is not present - selector( jQuery ); - } - - if ( selector.selector !== undefined ) { - this.selector = selector.selector; - this.context = selector.context; - } - - return jQuery.makeArray( selector, this ); - }; - -// Give the init function the jQuery prototype for later instantiation -init.prototype = jQuery.fn; - -// Initialize central reference -rootjQuery = jQuery( document ); - - -var rparentsprev = /^(?:parents|prev(?:Until|All))/, - // methods guaranteed to produce a unique set when starting from a unique set - guaranteedUnique = { - children: true, - contents: true, - next: true, - prev: true - }; - -jQuery.extend({ - dir: function( elem, dir, until ) { - var matched = [], - cur = elem[ dir ]; - - while ( cur && cur.nodeType !== 9 && (until === undefined || cur.nodeType !== 1 || !jQuery( cur ).is( until )) ) { - if ( cur.nodeType === 1 ) { - matched.push( cur ); - } - cur = cur[dir]; - } - return matched; - }, - - sibling: function( n, elem ) { - var r = []; - - for ( ; n; n = n.nextSibling ) { - if ( n.nodeType === 1 && n !== elem ) { - r.push( n ); - } - } - - return r; - } -}); - -jQuery.fn.extend({ - has: function( target ) { - var i, - targets = jQuery( target, this ), - len = targets.length; - - return this.filter(function() { - for ( i = 0; i < len; i++ ) { - if ( jQuery.contains( this, targets[i] ) ) { - return true; - } - } - }); - }, - - closest: function( selectors, context ) { - var cur, - i = 0, - l = this.length, - matched = [], - pos = rneedsContext.test( selectors ) || typeof selectors !== "string" ? - jQuery( selectors, context || this.context ) : - 0; - - for ( ; i < l; i++ ) { - for ( cur = this[i]; cur && cur !== context; cur = cur.parentNode ) { - // Always skip document fragments - if ( cur.nodeType < 11 && (pos ? - pos.index(cur) > -1 : - - // Don't pass non-elements to Sizzle - cur.nodeType === 1 && - jQuery.find.matchesSelector(cur, selectors)) ) { - - matched.push( cur ); - break; - } - } - } - - return this.pushStack( matched.length > 1 ? jQuery.unique( matched ) : matched ); - }, - - // Determine the position of an element within - // the matched set of elements - index: function( elem ) { - - // No argument, return index in parent - if ( !elem ) { - return ( this[0] && this[0].parentNode ) ? this.first().prevAll().length : -1; - } - - // index in selector - if ( typeof elem === "string" ) { - return jQuery.inArray( this[0], jQuery( elem ) ); - } - - // Locate the position of the desired element - return jQuery.inArray( - // If it receives a jQuery object, the first element is used - elem.jquery ? elem[0] : elem, this ); - }, - - add: function( selector, context ) { - return this.pushStack( - jQuery.unique( - jQuery.merge( this.get(), jQuery( selector, context ) ) - ) - ); - }, - - addBack: function( selector ) { - return this.add( selector == null ? - this.prevObject : this.prevObject.filter(selector) - ); - } -}); - -function sibling( cur, dir ) { - do { - cur = cur[ dir ]; - } while ( cur && cur.nodeType !== 1 ); - - return cur; -} - -jQuery.each({ - parent: function( elem ) { - var parent = elem.parentNode; - return parent && parent.nodeType !== 11 ? parent : null; - }, - parents: function( elem ) { - return jQuery.dir( elem, "parentNode" ); - }, - parentsUntil: function( elem, i, until ) { - return jQuery.dir( elem, "parentNode", until ); - }, - next: function( elem ) { - return sibling( elem, "nextSibling" ); - }, - prev: function( elem ) { - return sibling( elem, "previousSibling" ); - }, - nextAll: function( elem ) { - return jQuery.dir( elem, "nextSibling" ); - }, - prevAll: function( elem ) { - return jQuery.dir( elem, "previousSibling" ); - }, - nextUntil: function( elem, i, until ) { - return jQuery.dir( elem, "nextSibling", until ); - }, - prevUntil: function( elem, i, until ) { - return jQuery.dir( elem, "previousSibling", until ); - }, - siblings: function( elem ) { - return jQuery.sibling( ( elem.parentNode || {} ).firstChild, elem ); - }, - children: function( elem ) { - return jQuery.sibling( elem.firstChild ); - }, - contents: function( elem ) { - return jQuery.nodeName( elem, "iframe" ) ? - elem.contentDocument || elem.contentWindow.document : - jQuery.merge( [], elem.childNodes ); - } -}, function( name, fn ) { - jQuery.fn[ name ] = function( until, selector ) { - var ret = jQuery.map( this, fn, until ); - - if ( name.slice( -5 ) !== "Until" ) { - selector = until; - } - - if ( selector && typeof selector === "string" ) { - ret = jQuery.filter( selector, ret ); - } - - if ( this.length > 1 ) { - // Remove duplicates - if ( !guaranteedUnique[ name ] ) { - ret = jQuery.unique( ret ); - } - - // Reverse order for parents* and prev-derivatives - if ( rparentsprev.test( name ) ) { - ret = ret.reverse(); - } - } - - return this.pushStack( ret ); - }; -}); -var rnotwhite = (/\S+/g); - - - -// String to Object options format cache -var optionsCache = {}; - -// Convert String-formatted options into Object-formatted ones and store in cache -function createOptions( options ) { - var object = optionsCache[ options ] = {}; - jQuery.each( options.match( rnotwhite ) || [], function( _, flag ) { - object[ flag ] = true; - }); - return object; -} - -/* - * Create a callback list using the following parameters: - * - * options: an optional list of space-separated options that will change how - * the callback list behaves or a more traditional option object - * - * By default a callback list will act like an event callback list and can be - * "fired" multiple times. - * - * Possible options: - * - * once: will ensure the callback list can only be fired once (like a Deferred) - * - * memory: will keep track of previous values and will call any callback added - * after the list has been fired right away with the latest "memorized" - * values (like a Deferred) - * - * unique: will ensure a callback can only be added once (no duplicate in the list) - * - * stopOnFalse: interrupt callings when a callback returns false - * - */ -jQuery.Callbacks = function( options ) { - - // Convert options from String-formatted to Object-formatted if needed - // (we check in cache first) - options = typeof options === "string" ? - ( optionsCache[ options ] || createOptions( options ) ) : - jQuery.extend( {}, options ); - - var // Flag to know if list is currently firing - firing, - // Last fire value (for non-forgettable lists) - memory, - // Flag to know if list was already fired - fired, - // End of the loop when firing - firingLength, - // Index of currently firing callback (modified by remove if needed) - firingIndex, - // First callback to fire (used internally by add and fireWith) - firingStart, - // Actual callback list - list = [], - // Stack of fire calls for repeatable lists - stack = !options.once && [], - // Fire callbacks - fire = function( data ) { - memory = options.memory && data; - fired = true; - firingIndex = firingStart || 0; - firingStart = 0; - firingLength = list.length; - firing = true; - for ( ; list && firingIndex < firingLength; firingIndex++ ) { - if ( list[ firingIndex ].apply( data[ 0 ], data[ 1 ] ) === false && options.stopOnFalse ) { - memory = false; // To prevent further calls using add - break; - } - } - firing = false; - if ( list ) { - if ( stack ) { - if ( stack.length ) { - fire( stack.shift() ); - } - } else if ( memory ) { - list = []; - } else { - self.disable(); - } - } - }, - // Actual Callbacks object - self = { - // Add a callback or a collection of callbacks to the list - add: function() { - if ( list ) { - // First, we save the current length - var start = list.length; - (function add( args ) { - jQuery.each( args, function( _, arg ) { - var type = jQuery.type( arg ); - if ( type === "function" ) { - if ( !options.unique || !self.has( arg ) ) { - list.push( arg ); - } - } else if ( arg && arg.length && type !== "string" ) { - // Inspect recursively - add( arg ); - } - }); - })( arguments ); - // Do we need to add the callbacks to the - // current firing batch? - if ( firing ) { - firingLength = list.length; - // With memory, if we're not firing then - // we should call right away - } else if ( memory ) { - firingStart = start; - fire( memory ); - } - } - return this; - }, - // Remove a callback from the list - remove: function() { - if ( list ) { - jQuery.each( arguments, function( _, arg ) { - var index; - while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { - list.splice( index, 1 ); - // Handle firing indexes - if ( firing ) { - if ( index <= firingLength ) { - firingLength--; - } - if ( index <= firingIndex ) { - firingIndex--; - } - } - } - }); - } - return this; - }, - // Check if a given callback is in the list. - // If no argument is given, return whether or not list has callbacks attached. - has: function( fn ) { - return fn ? jQuery.inArray( fn, list ) > -1 : !!( list && list.length ); - }, - // Remove all callbacks from the list - empty: function() { - list = []; - firingLength = 0; - return this; - }, - // Have the list do nothing anymore - disable: function() { - list = stack = memory = undefined; - return this; - }, - // Is it disabled? - disabled: function() { - return !list; - }, - // Lock the list in its current state - lock: function() { - stack = undefined; - if ( !memory ) { - self.disable(); - } - return this; - }, - // Is it locked? - locked: function() { - return !stack; - }, - // Call all callbacks with the given context and arguments - fireWith: function( context, args ) { - if ( list && ( !fired || stack ) ) { - args = args || []; - args = [ context, args.slice ? args.slice() : args ]; - if ( firing ) { - stack.push( args ); - } else { - fire( args ); - } - } - return this; - }, - // Call all the callbacks with the given arguments - fire: function() { - self.fireWith( this, arguments ); - return this; - }, - // To know if the callbacks have already been called at least once - fired: function() { - return !!fired; - } - }; - - return self; -}; - - -jQuery.extend({ - - Deferred: function( func ) { - var tuples = [ - // action, add listener, listener list, final state - [ "resolve", "done", jQuery.Callbacks("once memory"), "resolved" ], - [ "reject", "fail", jQuery.Callbacks("once memory"), "rejected" ], - [ "notify", "progress", jQuery.Callbacks("memory") ] - ], - state = "pending", - promise = { - state: function() { - return state; - }, - always: function() { - deferred.done( arguments ).fail( arguments ); - return this; - }, - then: function( /* fnDone, fnFail, fnProgress */ ) { - var fns = arguments; - return jQuery.Deferred(function( newDefer ) { - jQuery.each( tuples, function( i, tuple ) { - var fn = jQuery.isFunction( fns[ i ] ) && fns[ i ]; - // deferred[ done | fail | progress ] for forwarding actions to newDefer - deferred[ tuple[1] ](function() { - var returned = fn && fn.apply( this, arguments ); - if ( returned && jQuery.isFunction( returned.promise ) ) { - returned.promise() - .done( newDefer.resolve ) - .fail( newDefer.reject ) - .progress( newDefer.notify ); - } else { - newDefer[ tuple[ 0 ] + "With" ]( this === promise ? newDefer.promise() : this, fn ? [ returned ] : arguments ); - } - }); - }); - fns = null; - }).promise(); - }, - // Get a promise for this deferred - // If obj is provided, the promise aspect is added to the object - promise: function( obj ) { - return obj != null ? jQuery.extend( obj, promise ) : promise; - } - }, - deferred = {}; - - // Keep pipe for back-compat - promise.pipe = promise.then; - - // Add list-specific methods - jQuery.each( tuples, function( i, tuple ) { - var list = tuple[ 2 ], - stateString = tuple[ 3 ]; - - // promise[ done | fail | progress ] = list.add - promise[ tuple[1] ] = list.add; - - // Handle state - if ( stateString ) { - list.add(function() { - // state = [ resolved | rejected ] - state = stateString; - - // [ reject_list | resolve_list ].disable; progress_list.lock - }, tuples[ i ^ 1 ][ 2 ].disable, tuples[ 2 ][ 2 ].lock ); - } - - // deferred[ resolve | reject | notify ] - deferred[ tuple[0] ] = function() { - deferred[ tuple[0] + "With" ]( this === deferred ? promise : this, arguments ); - return this; - }; - deferred[ tuple[0] + "With" ] = list.fireWith; - }); - - // Make the deferred a promise - promise.promise( deferred ); - - // Call given func if any - if ( func ) { - func.call( deferred, deferred ); - } - - // All done! - return deferred; - }, - - // Deferred helper - when: function( subordinate /* , ..., subordinateN */ ) { - var i = 0, - resolveValues = slice.call( arguments ), - length = resolveValues.length, - - // the count of uncompleted subordinates - remaining = length !== 1 || ( subordinate && jQuery.isFunction( subordinate.promise ) ) ? length : 0, - - // the master Deferred. If resolveValues consist of only a single Deferred, just use that. - deferred = remaining === 1 ? subordinate : jQuery.Deferred(), - - // Update function for both resolve and progress values - updateFunc = function( i, contexts, values ) { - return function( value ) { - contexts[ i ] = this; - values[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; - if ( values === progressValues ) { - deferred.notifyWith( contexts, values ); - - } else if ( !(--remaining) ) { - deferred.resolveWith( contexts, values ); - } - }; - }, - - progressValues, progressContexts, resolveContexts; - - // add listeners to Deferred subordinates; treat others as resolved - if ( length > 1 ) { - progressValues = new Array( length ); - progressContexts = new Array( length ); - resolveContexts = new Array( length ); - for ( ; i < length; i++ ) { - if ( resolveValues[ i ] && jQuery.isFunction( resolveValues[ i ].promise ) ) { - resolveValues[ i ].promise() - .done( updateFunc( i, resolveContexts, resolveValues ) ) - .fail( deferred.reject ) - .progress( updateFunc( i, progressContexts, progressValues ) ); - } else { - --remaining; - } - } - } - - // if we're not waiting on anything, resolve the master - if ( !remaining ) { - deferred.resolveWith( resolveContexts, resolveValues ); - } - - return deferred.promise(); - } -}); - - -// The deferred used on DOM ready -var readyList; - -jQuery.fn.ready = function( fn ) { - // Add the callback - jQuery.ready.promise().done( fn ); - - return this; -}; - -jQuery.extend({ - // Is the DOM ready to be used? Set to true once it occurs. - isReady: false, - - // A counter to track how many items to wait for before - // the ready event fires. See #6781 - readyWait: 1, - - // Hold (or release) the ready event - holdReady: function( hold ) { - if ( hold ) { - jQuery.readyWait++; - } else { - jQuery.ready( true ); - } - }, - - // Handle when the DOM is ready - ready: function( wait ) { - - // Abort if there are pending holds or we're already ready - if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { - return; - } - - // Make sure body exists, at least, in case IE gets a little overzealous (ticket #5443). - if ( !document.body ) { - return setTimeout( jQuery.ready ); - } - - // Remember that the DOM is ready - jQuery.isReady = true; - - // If a normal DOM Ready event fired, decrement, and wait if need be - if ( wait !== true && --jQuery.readyWait > 0 ) { - return; - } - - // If there are functions bound, to execute - readyList.resolveWith( document, [ jQuery ] ); - - // Trigger any bound ready events - if ( jQuery.fn.triggerHandler ) { - jQuery( document ).triggerHandler( "ready" ); - jQuery( document ).off( "ready" ); - } - } -}); - -/** - * Clean-up method for dom ready events - */ -function detach() { - if ( document.addEventListener ) { - document.removeEventListener( "DOMContentLoaded", completed, false ); - window.removeEventListener( "load", completed, false ); - - } else { - document.detachEvent( "onreadystatechange", completed ); - window.detachEvent( "onload", completed ); - } -} - -/** - * The ready event handler and self cleanup method - */ -function completed() { - // readyState === "complete" is good enough for us to call the dom ready in oldIE - if ( document.addEventListener || event.type === "load" || document.readyState === "complete" ) { - detach(); - jQuery.ready(); - } -} - -jQuery.ready.promise = function( obj ) { - if ( !readyList ) { - - readyList = jQuery.Deferred(); - - // Catch cases where $(document).ready() is called after the browser event has already occurred. - // we once tried to use readyState "interactive" here, but it caused issues like the one - // discovered by ChrisS here: http://bugs.jquery.com/ticket/12282#comment:15 - if ( document.readyState === "complete" ) { - // Handle it asynchronously to allow scripts the opportunity to delay ready - setTimeout( jQuery.ready ); - - // Standards-based browsers support DOMContentLoaded - } else if ( document.addEventListener ) { - // Use the handy event callback - document.addEventListener( "DOMContentLoaded", completed, false ); - - // A fallback to window.onload, that will always work - window.addEventListener( "load", completed, false ); - - // If IE event model is used - } else { - // Ensure firing before onload, maybe late but safe also for iframes - document.attachEvent( "onreadystatechange", completed ); - - // A fallback to window.onload, that will always work - window.attachEvent( "onload", completed ); - - // If IE and not a frame - // continually check to see if the document is ready - var top = false; - - try { - top = window.frameElement == null && document.documentElement; - } catch(e) {} - - if ( top && top.doScroll ) { - (function doScrollCheck() { - if ( !jQuery.isReady ) { - - try { - // Use the trick by Diego Perini - // http://javascript.nwbox.com/IEContentLoaded/ - top.doScroll("left"); - } catch(e) { - return setTimeout( doScrollCheck, 50 ); - } - - // detach all dom ready events - detach(); - - // and execute any waiting functions - jQuery.ready(); - } - })(); - } - } - } - return readyList.promise( obj ); -}; - - -var strundefined = typeof undefined; - - - -// Support: IE<9 -// Iteration over object's inherited properties before its own -var i; -for ( i in jQuery( support ) ) { - break; -} -support.ownLast = i !== "0"; - -// Note: most support tests are defined in their respective modules. -// false until the test is run -support.inlineBlockNeedsLayout = false; - -// Execute ASAP in case we need to set body.style.zoom -jQuery(function() { - // Minified: var a,b,c,d - var val, div, body, container; - - body = document.getElementsByTagName( "body" )[ 0 ]; - if ( !body || !body.style ) { - // Return for frameset docs that don't have a body - return; - } - - // Setup - div = document.createElement( "div" ); - container = document.createElement( "div" ); - container.style.cssText = "position:absolute;border:0;width:0;height:0;top:0;left:-9999px"; - body.appendChild( container ).appendChild( div ); - - if ( typeof div.style.zoom !== strundefined ) { - // Support: IE<8 - // Check if natively block-level elements act like inline-block - // elements when setting their display to 'inline' and giving - // them layout - div.style.cssText = "display:inline;margin:0;border:0;padding:1px;width:1px;zoom:1"; - - support.inlineBlockNeedsLayout = val = div.offsetWidth === 3; - if ( val ) { - // Prevent IE 6 from affecting layout for positioned elements #11048 - // Prevent IE from shrinking the body in IE 7 mode #12869 - // Support: IE<8 - body.style.zoom = 1; - } - } - - body.removeChild( container ); -}); - - - - -(function() { - var div = document.createElement( "div" ); - - // Execute the test only if not already executed in another module. - if (support.deleteExpando == null) { - // Support: IE<9 - support.deleteExpando = true; - try { - delete div.test; - } catch( e ) { - support.deleteExpando = false; - } - } - - // Null elements to avoid leaks in IE. - div = null; -})(); - - -/** - * Determines whether an object can have data - */ -jQuery.acceptData = function( elem ) { - var noData = jQuery.noData[ (elem.nodeName + " ").toLowerCase() ], - nodeType = +elem.nodeType || 1; - - // Do not set data on non-element DOM nodes because it will not be cleared (#8335). - return nodeType !== 1 && nodeType !== 9 ? - false : - - // Nodes accept data unless otherwise specified; rejection can be conditional - !noData || noData !== true && elem.getAttribute("classid") === noData; -}; - - -var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, - rmultiDash = /([A-Z])/g; - -function dataAttr( elem, key, data ) { - // If nothing was found internally, try to fetch any - // data from the HTML5 data-* attribute - if ( data === undefined && elem.nodeType === 1 ) { - - var name = "data-" + key.replace( rmultiDash, "-$1" ).toLowerCase(); - - data = elem.getAttribute( name ); - - if ( typeof data === "string" ) { - try { - data = data === "true" ? true : - data === "false" ? false : - data === "null" ? null : - // Only convert to a number if it doesn't change the string - +data + "" === data ? +data : - rbrace.test( data ) ? jQuery.parseJSON( data ) : - data; - } catch( e ) {} - - // Make sure we set the data so it isn't changed later - jQuery.data( elem, key, data ); - - } else { - data = undefined; - } - } - - return data; -} - -// checks a cache object for emptiness -function isEmptyDataObject( obj ) { - var name; - for ( name in obj ) { - - // if the public data object is empty, the private is still empty - if ( name === "data" && jQuery.isEmptyObject( obj[name] ) ) { - continue; - } - if ( name !== "toJSON" ) { - return false; - } - } - - return true; -} - -function internalData( elem, name, data, pvt /* Internal Use Only */ ) { - if ( !jQuery.acceptData( elem ) ) { - return; - } - - var ret, thisCache, - internalKey = jQuery.expando, - - // We have to handle DOM nodes and JS objects differently because IE6-7 - // can't GC object references properly across the DOM-JS boundary - isNode = elem.nodeType, - - // Only DOM nodes need the global jQuery cache; JS object data is - // attached directly to the object so GC can occur automatically - cache = isNode ? jQuery.cache : elem, - - // Only defining an ID for JS objects if its cache already exists allows - // the code to shortcut on the same path as a DOM node with no cache - id = isNode ? elem[ internalKey ] : elem[ internalKey ] && internalKey; - - // Avoid doing any more work than we need to when trying to get data on an - // object that has no data at all - if ( (!id || !cache[id] || (!pvt && !cache[id].data)) && data === undefined && typeof name === "string" ) { - return; - } - - if ( !id ) { - // Only DOM nodes need a new unique ID for each element since their data - // ends up in the global cache - if ( isNode ) { - id = elem[ internalKey ] = deletedIds.pop() || jQuery.guid++; - } else { - id = internalKey; - } - } - - if ( !cache[ id ] ) { - // Avoid exposing jQuery metadata on plain JS objects when the object - // is serialized using JSON.stringify - cache[ id ] = isNode ? {} : { toJSON: jQuery.noop }; - } - - // An object can be passed to jQuery.data instead of a key/value pair; this gets - // shallow copied over onto the existing cache - if ( typeof name === "object" || typeof name === "function" ) { - if ( pvt ) { - cache[ id ] = jQuery.extend( cache[ id ], name ); - } else { - cache[ id ].data = jQuery.extend( cache[ id ].data, name ); - } - } - - thisCache = cache[ id ]; - - // jQuery data() is stored in a separate object inside the object's internal data - // cache in order to avoid key collisions between internal data and user-defined - // data. - if ( !pvt ) { - if ( !thisCache.data ) { - thisCache.data = {}; - } - - thisCache = thisCache.data; - } - - if ( data !== undefined ) { - thisCache[ jQuery.camelCase( name ) ] = data; - } - - // Check for both converted-to-camel and non-converted data property names - // If a data property was specified - if ( typeof name === "string" ) { - - // First Try to find as-is property data - ret = thisCache[ name ]; - - // Test for null|undefined property data - if ( ret == null ) { - - // Try to find the camelCased property - ret = thisCache[ jQuery.camelCase( name ) ]; - } - } else { - ret = thisCache; - } - - return ret; -} - -function internalRemoveData( elem, name, pvt ) { - if ( !jQuery.acceptData( elem ) ) { - return; - } - - var thisCache, i, - isNode = elem.nodeType, - - // See jQuery.data for more information - cache = isNode ? jQuery.cache : elem, - id = isNode ? elem[ jQuery.expando ] : jQuery.expando; - - // If there is already no cache entry for this object, there is no - // purpose in continuing - if ( !cache[ id ] ) { - return; - } - - if ( name ) { - - thisCache = pvt ? cache[ id ] : cache[ id ].data; - - if ( thisCache ) { - - // Support array or space separated string names for data keys - if ( !jQuery.isArray( name ) ) { - - // try the string as a key before any manipulation - if ( name in thisCache ) { - name = [ name ]; - } else { - - // split the camel cased version by spaces unless a key with the spaces exists - name = jQuery.camelCase( name ); - if ( name in thisCache ) { - name = [ name ]; - } else { - name = name.split(" "); - } - } - } else { - // If "name" is an array of keys... - // When data is initially created, via ("key", "val") signature, - // keys will be converted to camelCase. - // Since there is no way to tell _how_ a key was added, remove - // both plain key and camelCase key. #12786 - // This will only penalize the array argument path. - name = name.concat( jQuery.map( name, jQuery.camelCase ) ); - } - - i = name.length; - while ( i-- ) { - delete thisCache[ name[i] ]; - } - - // If there is no data left in the cache, we want to continue - // and let the cache object itself get destroyed - if ( pvt ? !isEmptyDataObject(thisCache) : !jQuery.isEmptyObject(thisCache) ) { - return; - } - } - } - - // See jQuery.data for more information - if ( !pvt ) { - delete cache[ id ].data; - - // Don't destroy the parent cache unless the internal data object - // had been the only thing left in it - if ( !isEmptyDataObject( cache[ id ] ) ) { - return; - } - } - - // Destroy the cache - if ( isNode ) { - jQuery.cleanData( [ elem ], true ); - - // Use delete when supported for expandos or `cache` is not a window per isWindow (#10080) - /* jshint eqeqeq: false */ - } else if ( support.deleteExpando || cache != cache.window ) { - /* jshint eqeqeq: true */ - delete cache[ id ]; - - // When all else fails, null - } else { - cache[ id ] = null; - } -} - -jQuery.extend({ - cache: {}, - - // The following elements (space-suffixed to avoid Object.prototype collisions) - // throw uncatchable exceptions if you attempt to set expando properties - noData: { - "applet ": true, - "embed ": true, - // ...but Flash objects (which have this classid) *can* handle expandos - "object ": "clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" - }, - - hasData: function( elem ) { - elem = elem.nodeType ? jQuery.cache[ elem[jQuery.expando] ] : elem[ jQuery.expando ]; - return !!elem && !isEmptyDataObject( elem ); - }, - - data: function( elem, name, data ) { - return internalData( elem, name, data ); - }, - - removeData: function( elem, name ) { - return internalRemoveData( elem, name ); - }, - - // For internal use only. - _data: function( elem, name, data ) { - return internalData( elem, name, data, true ); - }, - - _removeData: function( elem, name ) { - return internalRemoveData( elem, name, true ); - } -}); - -jQuery.fn.extend({ - data: function( key, value ) { - var i, name, data, - elem = this[0], - attrs = elem && elem.attributes; - - // Special expections of .data basically thwart jQuery.access, - // so implement the relevant behavior ourselves - - // Gets all values - if ( key === undefined ) { - if ( this.length ) { - data = jQuery.data( elem ); - - if ( elem.nodeType === 1 && !jQuery._data( elem, "parsedAttrs" ) ) { - i = attrs.length; - while ( i-- ) { - - // Support: IE11+ - // The attrs elements can be null (#14894) - if ( attrs[ i ] ) { - name = attrs[ i ].name; - if ( name.indexOf( "data-" ) === 0 ) { - name = jQuery.camelCase( name.slice(5) ); - dataAttr( elem, name, data[ name ] ); - } - } - } - jQuery._data( elem, "parsedAttrs", true ); - } - } - - return data; - } - - // Sets multiple values - if ( typeof key === "object" ) { - return this.each(function() { - jQuery.data( this, key ); - }); - } - - return arguments.length > 1 ? - - // Sets one value - this.each(function() { - jQuery.data( this, key, value ); - }) : - - // Gets one value - // Try to fetch any internally stored data first - elem ? dataAttr( elem, key, jQuery.data( elem, key ) ) : undefined; - }, - - removeData: function( key ) { - return this.each(function() { - jQuery.removeData( this, key ); - }); - } -}); - - -jQuery.extend({ - queue: function( elem, type, data ) { - var queue; - - if ( elem ) { - type = ( type || "fx" ) + "queue"; - queue = jQuery._data( elem, type ); - - // Speed up dequeue by getting out quickly if this is just a lookup - if ( data ) { - if ( !queue || jQuery.isArray(data) ) { - queue = jQuery._data( elem, type, jQuery.makeArray(data) ); - } else { - queue.push( data ); - } - } - return queue || []; - } - }, - - dequeue: function( elem, type ) { - type = type || "fx"; - - var queue = jQuery.queue( elem, type ), - startLength = queue.length, - fn = queue.shift(), - hooks = jQuery._queueHooks( elem, type ), - next = function() { - jQuery.dequeue( elem, type ); - }; - - // If the fx queue is dequeued, always remove the progress sentinel - if ( fn === "inprogress" ) { - fn = queue.shift(); - startLength--; - } - - if ( fn ) { - - // Add a progress sentinel to prevent the fx queue from being - // automatically dequeued - if ( type === "fx" ) { - queue.unshift( "inprogress" ); - } - - // clear up the last queue stop function - delete hooks.stop; - fn.call( elem, next, hooks ); - } - - if ( !startLength && hooks ) { - hooks.empty.fire(); - } - }, - - // not intended for public consumption - generates a queueHooks object, or returns the current one - _queueHooks: function( elem, type ) { - var key = type + "queueHooks"; - return jQuery._data( elem, key ) || jQuery._data( elem, key, { - empty: jQuery.Callbacks("once memory").add(function() { - jQuery._removeData( elem, type + "queue" ); - jQuery._removeData( elem, key ); - }) - }); - } -}); - -jQuery.fn.extend({ - queue: function( type, data ) { - var setter = 2; - - if ( typeof type !== "string" ) { - data = type; - type = "fx"; - setter--; - } - - if ( arguments.length < setter ) { - return jQuery.queue( this[0], type ); - } - - return data === undefined ? - this : - this.each(function() { - var queue = jQuery.queue( this, type, data ); - - // ensure a hooks for this queue - jQuery._queueHooks( this, type ); - - if ( type === "fx" && queue[0] !== "inprogress" ) { - jQuery.dequeue( this, type ); - } - }); - }, - dequeue: function( type ) { - return this.each(function() { - jQuery.dequeue( this, type ); - }); - }, - clearQueue: function( type ) { - return this.queue( type || "fx", [] ); - }, - // Get a promise resolved when queues of a certain type - // are emptied (fx is the type by default) - promise: function( type, obj ) { - var tmp, - count = 1, - defer = jQuery.Deferred(), - elements = this, - i = this.length, - resolve = function() { - if ( !( --count ) ) { - defer.resolveWith( elements, [ elements ] ); - } - }; - - if ( typeof type !== "string" ) { - obj = type; - type = undefined; - } - type = type || "fx"; - - while ( i-- ) { - tmp = jQuery._data( elements[ i ], type + "queueHooks" ); - if ( tmp && tmp.empty ) { - count++; - tmp.empty.add( resolve ); - } - } - resolve(); - return defer.promise( obj ); - } -}); -var pnum = (/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/).source; - -var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; - -var isHidden = function( elem, el ) { - // isHidden might be called from jQuery#filter function; - // in that case, element will be second argument - elem = el || elem; - return jQuery.css( elem, "display" ) === "none" || !jQuery.contains( elem.ownerDocument, elem ); - }; - - - -// Multifunctional method to get and set values of a collection -// The value/s can optionally be executed if it's a function -var access = jQuery.access = function( elems, fn, key, value, chainable, emptyGet, raw ) { - var i = 0, - length = elems.length, - bulk = key == null; - - // Sets many values - if ( jQuery.type( key ) === "object" ) { - chainable = true; - for ( i in key ) { - jQuery.access( elems, fn, i, key[i], true, emptyGet, raw ); - } - - // Sets one value - } else if ( value !== undefined ) { - chainable = true; - - if ( !jQuery.isFunction( value ) ) { - raw = true; - } - - if ( bulk ) { - // Bulk operations run against the entire set - if ( raw ) { - fn.call( elems, value ); - fn = null; - - // ...except when executing function values - } else { - bulk = fn; - fn = function( elem, key, value ) { - return bulk.call( jQuery( elem ), value ); - }; - } - } - - if ( fn ) { - for ( ; i < length; i++ ) { - fn( elems[i], key, raw ? value : value.call( elems[i], i, fn( elems[i], key ) ) ); - } - } - } - - return chainable ? - elems : - - // Gets - bulk ? - fn.call( elems ) : - length ? fn( elems[0], key ) : emptyGet; -}; -var rcheckableType = (/^(?:checkbox|radio)$/i); - - - -(function() { - // Minified: var a,b,c - var input = document.createElement( "input" ), - div = document.createElement( "div" ), - fragment = document.createDocumentFragment(); - - // Setup - div.innerHTML = "
a"; - - // IE strips leading whitespace when .innerHTML is used - support.leadingWhitespace = div.firstChild.nodeType === 3; - - // Make sure that tbody elements aren't automatically inserted - // IE will insert them into empty tables - support.tbody = !div.getElementsByTagName( "tbody" ).length; - - // Make sure that link elements get serialized correctly by innerHTML - // This requires a wrapper element in IE - support.htmlSerialize = !!div.getElementsByTagName( "link" ).length; - - // Makes sure cloning an html5 element does not cause problems - // Where outerHTML is undefined, this still works - support.html5Clone = - document.createElement( "nav" ).cloneNode( true ).outerHTML !== "<:nav>"; - - // Check if a disconnected checkbox will retain its checked - // value of true after appended to the DOM (IE6/7) - input.type = "checkbox"; - input.checked = true; - fragment.appendChild( input ); - support.appendChecked = input.checked; - - // Make sure textarea (and checkbox) defaultValue is properly cloned - // Support: IE6-IE11+ - div.innerHTML = ""; - support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; - - // #11217 - WebKit loses check when the name is after the checked attribute - fragment.appendChild( div ); - div.innerHTML = ""; - - // Support: Safari 5.1, iOS 5.1, Android 4.x, Android 2.3 - // old WebKit doesn't clone checked state correctly in fragments - support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; - - // Support: IE<9 - // Opera does not clone events (and typeof div.attachEvent === undefined). - // IE9-10 clones events bound via attachEvent, but they don't trigger with .click() - support.noCloneEvent = true; - if ( div.attachEvent ) { - div.attachEvent( "onclick", function() { - support.noCloneEvent = false; - }); - - div.cloneNode( true ).click(); - } - - // Execute the test only if not already executed in another module. - if (support.deleteExpando == null) { - // Support: IE<9 - support.deleteExpando = true; - try { - delete div.test; - } catch( e ) { - support.deleteExpando = false; - } - } -})(); - - -(function() { - var i, eventName, - div = document.createElement( "div" ); - - // Support: IE<9 (lack submit/change bubble), Firefox 23+ (lack focusin event) - for ( i in { submit: true, change: true, focusin: true }) { - eventName = "on" + i; - - if ( !(support[ i + "Bubbles" ] = eventName in window) ) { - // Beware of CSP restrictions (https://developer.mozilla.org/en/Security/CSP) - div.setAttribute( eventName, "t" ); - support[ i + "Bubbles" ] = div.attributes[ eventName ].expando === false; - } - } - - // Null elements to avoid leaks in IE. - div = null; -})(); - - -var rformElems = /^(?:input|select|textarea)$/i, - rkeyEvent = /^key/, - rmouseEvent = /^(?:mouse|pointer|contextmenu)|click/, - rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, - rtypenamespace = /^([^.]*)(?:\.(.+)|)$/; - -function returnTrue() { - return true; -} - -function returnFalse() { - return false; -} - -function safeActiveElement() { - try { - return document.activeElement; - } catch ( err ) { } -} - -/* - * Helper functions for managing events -- not part of the public interface. - * Props to Dean Edwards' addEvent library for many of the ideas. - */ -jQuery.event = { - - global: {}, - - add: function( elem, types, handler, data, selector ) { - var tmp, events, t, handleObjIn, - special, eventHandle, handleObj, - handlers, type, namespaces, origType, - elemData = jQuery._data( elem ); - - // Don't attach events to noData or text/comment nodes (but allow plain objects) - if ( !elemData ) { - return; - } - - // Caller can pass in an object of custom data in lieu of the handler - if ( handler.handler ) { - handleObjIn = handler; - handler = handleObjIn.handler; - selector = handleObjIn.selector; - } - - // Make sure that the handler has a unique ID, used to find/remove it later - if ( !handler.guid ) { - handler.guid = jQuery.guid++; - } - - // Init the element's event structure and main handler, if this is the first - if ( !(events = elemData.events) ) { - events = elemData.events = {}; - } - if ( !(eventHandle = elemData.handle) ) { - eventHandle = elemData.handle = function( e ) { - // Discard the second event of a jQuery.event.trigger() and - // when an event is called after a page has unloaded - return typeof jQuery !== strundefined && (!e || jQuery.event.triggered !== e.type) ? - jQuery.event.dispatch.apply( eventHandle.elem, arguments ) : - undefined; - }; - // Add elem as a property of the handle fn to prevent a memory leak with IE non-native events - eventHandle.elem = elem; - } - - // Handle multiple events separated by a space - types = ( types || "" ).match( rnotwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[t] ) || []; - type = origType = tmp[1]; - namespaces = ( tmp[2] || "" ).split( "." ).sort(); - - // There *must* be a type, no attaching namespace-only handlers - if ( !type ) { - continue; - } - - // If event changes its type, use the special event handlers for the changed type - special = jQuery.event.special[ type ] || {}; - - // If selector defined, determine special event api type, otherwise given type - type = ( selector ? special.delegateType : special.bindType ) || type; - - // Update special based on newly reset type - special = jQuery.event.special[ type ] || {}; - - // handleObj is passed to all event handlers - handleObj = jQuery.extend({ - type: type, - origType: origType, - data: data, - handler: handler, - guid: handler.guid, - selector: selector, - needsContext: selector && jQuery.expr.match.needsContext.test( selector ), - namespace: namespaces.join(".") - }, handleObjIn ); - - // Init the event handler queue if we're the first - if ( !(handlers = events[ type ]) ) { - handlers = events[ type ] = []; - handlers.delegateCount = 0; - - // Only use addEventListener/attachEvent if the special events handler returns false - if ( !special.setup || special.setup.call( elem, data, namespaces, eventHandle ) === false ) { - // Bind the global event handler to the element - if ( elem.addEventListener ) { - elem.addEventListener( type, eventHandle, false ); - - } else if ( elem.attachEvent ) { - elem.attachEvent( "on" + type, eventHandle ); - } - } - } - - if ( special.add ) { - special.add.call( elem, handleObj ); - - if ( !handleObj.handler.guid ) { - handleObj.handler.guid = handler.guid; - } - } - - // Add to the element's handler list, delegates in front - if ( selector ) { - handlers.splice( handlers.delegateCount++, 0, handleObj ); - } else { - handlers.push( handleObj ); - } - - // Keep track of which events have ever been used, for event optimization - jQuery.event.global[ type ] = true; - } - - // Nullify elem to prevent memory leaks in IE - elem = null; - }, - - // Detach an event or set of events from an element - remove: function( elem, types, handler, selector, mappedTypes ) { - var j, handleObj, tmp, - origCount, t, events, - special, handlers, type, - namespaces, origType, - elemData = jQuery.hasData( elem ) && jQuery._data( elem ); - - if ( !elemData || !(events = elemData.events) ) { - return; - } - - // Once for each type.namespace in types; type may be omitted - types = ( types || "" ).match( rnotwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[t] ) || []; - type = origType = tmp[1]; - namespaces = ( tmp[2] || "" ).split( "." ).sort(); - - // Unbind all events (on this namespace, if provided) for the element - if ( !type ) { - for ( type in events ) { - jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); - } - continue; - } - - special = jQuery.event.special[ type ] || {}; - type = ( selector ? special.delegateType : special.bindType ) || type; - handlers = events[ type ] || []; - tmp = tmp[2] && new RegExp( "(^|\\.)" + namespaces.join("\\.(?:.*\\.|)") + "(\\.|$)" ); - - // Remove matching events - origCount = j = handlers.length; - while ( j-- ) { - handleObj = handlers[ j ]; - - if ( ( mappedTypes || origType === handleObj.origType ) && - ( !handler || handler.guid === handleObj.guid ) && - ( !tmp || tmp.test( handleObj.namespace ) ) && - ( !selector || selector === handleObj.selector || selector === "**" && handleObj.selector ) ) { - handlers.splice( j, 1 ); - - if ( handleObj.selector ) { - handlers.delegateCount--; - } - if ( special.remove ) { - special.remove.call( elem, handleObj ); - } - } - } - - // Remove generic event handler if we removed something and no more handlers exist - // (avoids potential for endless recursion during removal of special event handlers) - if ( origCount && !handlers.length ) { - if ( !special.teardown || special.teardown.call( elem, namespaces, elemData.handle ) === false ) { - jQuery.removeEvent( elem, type, elemData.handle ); - } - - delete events[ type ]; - } - } - - // Remove the expando if it's no longer used - if ( jQuery.isEmptyObject( events ) ) { - delete elemData.handle; - - // removeData also checks for emptiness and clears the expando if empty - // so use it instead of delete - jQuery._removeData( elem, "events" ); - } - }, - - trigger: function( event, data, elem, onlyHandlers ) { - var handle, ontype, cur, - bubbleType, special, tmp, i, - eventPath = [ elem || document ], - type = hasOwn.call( event, "type" ) ? event.type : event, - namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split(".") : []; - - cur = tmp = elem = elem || document; - - // Don't do events on text and comment nodes - if ( elem.nodeType === 3 || elem.nodeType === 8 ) { - return; - } - - // focus/blur morphs to focusin/out; ensure we're not firing them right now - if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { - return; - } - - if ( type.indexOf(".") >= 0 ) { - // Namespaced trigger; create a regexp to match event type in handle() - namespaces = type.split("."); - type = namespaces.shift(); - namespaces.sort(); - } - ontype = type.indexOf(":") < 0 && "on" + type; - - // Caller can pass in a jQuery.Event object, Object, or just an event type string - event = event[ jQuery.expando ] ? - event : - new jQuery.Event( type, typeof event === "object" && event ); - - // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) - event.isTrigger = onlyHandlers ? 2 : 3; - event.namespace = namespaces.join("."); - event.namespace_re = event.namespace ? - new RegExp( "(^|\\.)" + namespaces.join("\\.(?:.*\\.|)") + "(\\.|$)" ) : - null; - - // Clean up the event in case it is being reused - event.result = undefined; - if ( !event.target ) { - event.target = elem; - } - - // Clone any incoming data and prepend the event, creating the handler arg list - data = data == null ? - [ event ] : - jQuery.makeArray( data, [ event ] ); - - // Allow special events to draw outside the lines - special = jQuery.event.special[ type ] || {}; - if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { - return; - } - - // Determine event propagation path in advance, per W3C events spec (#9951) - // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) - if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) { - - bubbleType = special.delegateType || type; - if ( !rfocusMorph.test( bubbleType + type ) ) { - cur = cur.parentNode; - } - for ( ; cur; cur = cur.parentNode ) { - eventPath.push( cur ); - tmp = cur; - } - - // Only add window if we got to document (e.g., not plain obj or detached DOM) - if ( tmp === (elem.ownerDocument || document) ) { - eventPath.push( tmp.defaultView || tmp.parentWindow || window ); - } - } - - // Fire handlers on the event path - i = 0; - while ( (cur = eventPath[i++]) && !event.isPropagationStopped() ) { - - event.type = i > 1 ? - bubbleType : - special.bindType || type; - - // jQuery handler - handle = ( jQuery._data( cur, "events" ) || {} )[ event.type ] && jQuery._data( cur, "handle" ); - if ( handle ) { - handle.apply( cur, data ); - } - - // Native handler - handle = ontype && cur[ ontype ]; - if ( handle && handle.apply && jQuery.acceptData( cur ) ) { - event.result = handle.apply( cur, data ); - if ( event.result === false ) { - event.preventDefault(); - } - } - } - event.type = type; - - // If nobody prevented the default action, do it now - if ( !onlyHandlers && !event.isDefaultPrevented() ) { - - if ( (!special._default || special._default.apply( eventPath.pop(), data ) === false) && - jQuery.acceptData( elem ) ) { - - // Call a native DOM method on the target with the same name name as the event. - // Can't use an .isFunction() check here because IE6/7 fails that test. - // Don't do default actions on window, that's where global variables be (#6170) - if ( ontype && elem[ type ] && !jQuery.isWindow( elem ) ) { - - // Don't re-trigger an onFOO event when we call its FOO() method - tmp = elem[ ontype ]; - - if ( tmp ) { - elem[ ontype ] = null; - } - - // Prevent re-triggering of the same event, since we already bubbled it above - jQuery.event.triggered = type; - try { - elem[ type ](); - } catch ( e ) { - // IE<9 dies on focus/blur to hidden element (#1486,#12518) - // only reproducible on winXP IE8 native, not IE9 in IE8 mode - } - jQuery.event.triggered = undefined; - - if ( tmp ) { - elem[ ontype ] = tmp; - } - } - } - } - - return event.result; - }, - - dispatch: function( event ) { - - // Make a writable jQuery.Event from the native event object - event = jQuery.event.fix( event ); - - var i, ret, handleObj, matched, j, - handlerQueue = [], - args = slice.call( arguments ), - handlers = ( jQuery._data( this, "events" ) || {} )[ event.type ] || [], - special = jQuery.event.special[ event.type ] || {}; - - // Use the fix-ed jQuery.Event rather than the (read-only) native event - args[0] = event; - event.delegateTarget = this; - - // Call the preDispatch hook for the mapped type, and let it bail if desired - if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { - return; - } - - // Determine handlers - handlerQueue = jQuery.event.handlers.call( this, event, handlers ); - - // Run delegates first; they may want to stop propagation beneath us - i = 0; - while ( (matched = handlerQueue[ i++ ]) && !event.isPropagationStopped() ) { - event.currentTarget = matched.elem; - - j = 0; - while ( (handleObj = matched.handlers[ j++ ]) && !event.isImmediatePropagationStopped() ) { - - // Triggered event must either 1) have no namespace, or - // 2) have namespace(s) a subset or equal to those in the bound event (both can have no namespace). - if ( !event.namespace_re || event.namespace_re.test( handleObj.namespace ) ) { - - event.handleObj = handleObj; - event.data = handleObj.data; - - ret = ( (jQuery.event.special[ handleObj.origType ] || {}).handle || handleObj.handler ) - .apply( matched.elem, args ); - - if ( ret !== undefined ) { - if ( (event.result = ret) === false ) { - event.preventDefault(); - event.stopPropagation(); - } - } - } - } - } - - // Call the postDispatch hook for the mapped type - if ( special.postDispatch ) { - special.postDispatch.call( this, event ); - } - - return event.result; - }, - - handlers: function( event, handlers ) { - var sel, handleObj, matches, i, - handlerQueue = [], - delegateCount = handlers.delegateCount, - cur = event.target; - - // Find delegate handlers - // Black-hole SVG instance trees (#13180) - // Avoid non-left-click bubbling in Firefox (#3861) - if ( delegateCount && cur.nodeType && (!event.button || event.type !== "click") ) { - - /* jshint eqeqeq: false */ - for ( ; cur != this; cur = cur.parentNode || this ) { - /* jshint eqeqeq: true */ - - // Don't check non-elements (#13208) - // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) - if ( cur.nodeType === 1 && (cur.disabled !== true || event.type !== "click") ) { - matches = []; - for ( i = 0; i < delegateCount; i++ ) { - handleObj = handlers[ i ]; - - // Don't conflict with Object.prototype properties (#13203) - sel = handleObj.selector + " "; - - if ( matches[ sel ] === undefined ) { - matches[ sel ] = handleObj.needsContext ? - jQuery( sel, this ).index( cur ) >= 0 : - jQuery.find( sel, this, null, [ cur ] ).length; - } - if ( matches[ sel ] ) { - matches.push( handleObj ); - } - } - if ( matches.length ) { - handlerQueue.push({ elem: cur, handlers: matches }); - } - } - } - } - - // Add the remaining (directly-bound) handlers - if ( delegateCount < handlers.length ) { - handlerQueue.push({ elem: this, handlers: handlers.slice( delegateCount ) }); - } - - return handlerQueue; - }, - - fix: function( event ) { - if ( event[ jQuery.expando ] ) { - return event; - } - - // Create a writable copy of the event object and normalize some properties - var i, prop, copy, - type = event.type, - originalEvent = event, - fixHook = this.fixHooks[ type ]; - - if ( !fixHook ) { - this.fixHooks[ type ] = fixHook = - rmouseEvent.test( type ) ? this.mouseHooks : - rkeyEvent.test( type ) ? this.keyHooks : - {}; - } - copy = fixHook.props ? this.props.concat( fixHook.props ) : this.props; - - event = new jQuery.Event( originalEvent ); - - i = copy.length; - while ( i-- ) { - prop = copy[ i ]; - event[ prop ] = originalEvent[ prop ]; - } - - // Support: IE<9 - // Fix target property (#1925) - if ( !event.target ) { - event.target = originalEvent.srcElement || document; - } - - // Support: Chrome 23+, Safari? - // Target should not be a text node (#504, #13143) - if ( event.target.nodeType === 3 ) { - event.target = event.target.parentNode; - } - - // Support: IE<9 - // For mouse/key events, metaKey==false if it's undefined (#3368, #11328) - event.metaKey = !!event.metaKey; - - return fixHook.filter ? fixHook.filter( event, originalEvent ) : event; - }, - - // Includes some event props shared by KeyEvent and MouseEvent - props: "altKey bubbles cancelable ctrlKey currentTarget eventPhase metaKey relatedTarget shiftKey target timeStamp view which".split(" "), - - fixHooks: {}, - - keyHooks: { - props: "char charCode key keyCode".split(" "), - filter: function( event, original ) { - - // Add which for key events - if ( event.which == null ) { - event.which = original.charCode != null ? original.charCode : original.keyCode; - } - - return event; - } - }, - - mouseHooks: { - props: "button buttons clientX clientY fromElement offsetX offsetY pageX pageY screenX screenY toElement".split(" "), - filter: function( event, original ) { - var body, eventDoc, doc, - button = original.button, - fromElement = original.fromElement; - - // Calculate pageX/Y if missing and clientX/Y available - if ( event.pageX == null && original.clientX != null ) { - eventDoc = event.target.ownerDocument || document; - doc = eventDoc.documentElement; - body = eventDoc.body; - - event.pageX = original.clientX + ( doc && doc.scrollLeft || body && body.scrollLeft || 0 ) - ( doc && doc.clientLeft || body && body.clientLeft || 0 ); - event.pageY = original.clientY + ( doc && doc.scrollTop || body && body.scrollTop || 0 ) - ( doc && doc.clientTop || body && body.clientTop || 0 ); - } - - // Add relatedTarget, if necessary - if ( !event.relatedTarget && fromElement ) { - event.relatedTarget = fromElement === event.target ? original.toElement : fromElement; - } - - // Add which for click: 1 === left; 2 === middle; 3 === right - // Note: button is not normalized, so don't use it - if ( !event.which && button !== undefined ) { - event.which = ( button & 1 ? 1 : ( button & 2 ? 3 : ( button & 4 ? 2 : 0 ) ) ); - } - - return event; - } - }, - - special: { - load: { - // Prevent triggered image.load events from bubbling to window.load - noBubble: true - }, - focus: { - // Fire native event if possible so blur/focus sequence is correct - trigger: function() { - if ( this !== safeActiveElement() && this.focus ) { - try { - this.focus(); - return false; - } catch ( e ) { - // Support: IE<9 - // If we error on focus to hidden element (#1486, #12518), - // let .trigger() run the handlers - } - } - }, - delegateType: "focusin" - }, - blur: { - trigger: function() { - if ( this === safeActiveElement() && this.blur ) { - this.blur(); - return false; - } - }, - delegateType: "focusout" - }, - click: { - // For checkbox, fire native event so checked state will be right - trigger: function() { - if ( jQuery.nodeName( this, "input" ) && this.type === "checkbox" && this.click ) { - this.click(); - return false; - } - }, - - // For cross-browser consistency, don't fire native .click() on links - _default: function( event ) { - return jQuery.nodeName( event.target, "a" ); - } - }, - - beforeunload: { - postDispatch: function( event ) { - - // Support: Firefox 20+ - // Firefox doesn't alert if the returnValue field is not set. - if ( event.result !== undefined && event.originalEvent ) { - event.originalEvent.returnValue = event.result; - } - } - } - }, - - simulate: function( type, elem, event, bubble ) { - // Piggyback on a donor event to simulate a different one. - // Fake originalEvent to avoid donor's stopPropagation, but if the - // simulated event prevents default then we do the same on the donor. - var e = jQuery.extend( - new jQuery.Event(), - event, - { - type: type, - isSimulated: true, - originalEvent: {} - } - ); - if ( bubble ) { - jQuery.event.trigger( e, null, elem ); - } else { - jQuery.event.dispatch.call( elem, e ); - } - if ( e.isDefaultPrevented() ) { - event.preventDefault(); - } - } -}; - -jQuery.removeEvent = document.removeEventListener ? - function( elem, type, handle ) { - if ( elem.removeEventListener ) { - elem.removeEventListener( type, handle, false ); - } - } : - function( elem, type, handle ) { - var name = "on" + type; - - if ( elem.detachEvent ) { - - // #8545, #7054, preventing memory leaks for custom events in IE6-8 - // detachEvent needed property on element, by name of that event, to properly expose it to GC - if ( typeof elem[ name ] === strundefined ) { - elem[ name ] = null; - } - - elem.detachEvent( name, handle ); - } - }; - -jQuery.Event = function( src, props ) { - // Allow instantiation without the 'new' keyword - if ( !(this instanceof jQuery.Event) ) { - return new jQuery.Event( src, props ); - } - - // Event object - if ( src && src.type ) { - this.originalEvent = src; - this.type = src.type; - - // Events bubbling up the document may have been marked as prevented - // by a handler lower down the tree; reflect the correct value. - this.isDefaultPrevented = src.defaultPrevented || - src.defaultPrevented === undefined && - // Support: IE < 9, Android < 4.0 - src.returnValue === false ? - returnTrue : - returnFalse; - - // Event type - } else { - this.type = src; - } - - // Put explicitly provided properties onto the event object - if ( props ) { - jQuery.extend( this, props ); - } - - // Create a timestamp if incoming event doesn't have one - this.timeStamp = src && src.timeStamp || jQuery.now(); - - // Mark it as fixed - this[ jQuery.expando ] = true; -}; - -// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding -// http://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html -jQuery.Event.prototype = { - isDefaultPrevented: returnFalse, - isPropagationStopped: returnFalse, - isImmediatePropagationStopped: returnFalse, - - preventDefault: function() { - var e = this.originalEvent; - - this.isDefaultPrevented = returnTrue; - if ( !e ) { - return; - } - - // If preventDefault exists, run it on the original event - if ( e.preventDefault ) { - e.preventDefault(); - - // Support: IE - // Otherwise set the returnValue property of the original event to false - } else { - e.returnValue = false; - } - }, - stopPropagation: function() { - var e = this.originalEvent; - - this.isPropagationStopped = returnTrue; - if ( !e ) { - return; - } - // If stopPropagation exists, run it on the original event - if ( e.stopPropagation ) { - e.stopPropagation(); - } - - // Support: IE - // Set the cancelBubble property of the original event to true - e.cancelBubble = true; - }, - stopImmediatePropagation: function() { - var e = this.originalEvent; - - this.isImmediatePropagationStopped = returnTrue; - - if ( e && e.stopImmediatePropagation ) { - e.stopImmediatePropagation(); - } - - this.stopPropagation(); - } -}; - -// Create mouseenter/leave events using mouseover/out and event-time checks -jQuery.each({ - mouseenter: "mouseover", - mouseleave: "mouseout", - pointerenter: "pointerover", - pointerleave: "pointerout" -}, function( orig, fix ) { - jQuery.event.special[ orig ] = { - delegateType: fix, - bindType: fix, - - handle: function( event ) { - var ret, - target = this, - related = event.relatedTarget, - handleObj = event.handleObj; - - // For mousenter/leave call the handler if related is outside the target. - // NB: No relatedTarget if the mouse left/entered the browser window - if ( !related || (related !== target && !jQuery.contains( target, related )) ) { - event.type = handleObj.origType; - ret = handleObj.handler.apply( this, arguments ); - event.type = fix; - } - return ret; - } - }; -}); - -// IE submit delegation -if ( !support.submitBubbles ) { - - jQuery.event.special.submit = { - setup: function() { - // Only need this for delegated form submit events - if ( jQuery.nodeName( this, "form" ) ) { - return false; - } - - // Lazy-add a submit handler when a descendant form may potentially be submitted - jQuery.event.add( this, "click._submit keypress._submit", function( e ) { - // Node name check avoids a VML-related crash in IE (#9807) - var elem = e.target, - form = jQuery.nodeName( elem, "input" ) || jQuery.nodeName( elem, "button" ) ? elem.form : undefined; - if ( form && !jQuery._data( form, "submitBubbles" ) ) { - jQuery.event.add( form, "submit._submit", function( event ) { - event._submit_bubble = true; - }); - jQuery._data( form, "submitBubbles", true ); - } - }); - // return undefined since we don't need an event listener - }, - - postDispatch: function( event ) { - // If form was submitted by the user, bubble the event up the tree - if ( event._submit_bubble ) { - delete event._submit_bubble; - if ( this.parentNode && !event.isTrigger ) { - jQuery.event.simulate( "submit", this.parentNode, event, true ); - } - } - }, - - teardown: function() { - // Only need this for delegated form submit events - if ( jQuery.nodeName( this, "form" ) ) { - return false; - } - - // Remove delegated handlers; cleanData eventually reaps submit handlers attached above - jQuery.event.remove( this, "._submit" ); - } - }; -} - -// IE change delegation and checkbox/radio fix -if ( !support.changeBubbles ) { - - jQuery.event.special.change = { - - setup: function() { - - if ( rformElems.test( this.nodeName ) ) { - // IE doesn't fire change on a check/radio until blur; trigger it on click - // after a propertychange. Eat the blur-change in special.change.handle. - // This still fires onchange a second time for check/radio after blur. - if ( this.type === "checkbox" || this.type === "radio" ) { - jQuery.event.add( this, "propertychange._change", function( event ) { - if ( event.originalEvent.propertyName === "checked" ) { - this._just_changed = true; - } - }); - jQuery.event.add( this, "click._change", function( event ) { - if ( this._just_changed && !event.isTrigger ) { - this._just_changed = false; - } - // Allow triggered, simulated change events (#11500) - jQuery.event.simulate( "change", this, event, true ); - }); - } - return false; - } - // Delegated event; lazy-add a change handler on descendant inputs - jQuery.event.add( this, "beforeactivate._change", function( e ) { - var elem = e.target; - - if ( rformElems.test( elem.nodeName ) && !jQuery._data( elem, "changeBubbles" ) ) { - jQuery.event.add( elem, "change._change", function( event ) { - if ( this.parentNode && !event.isSimulated && !event.isTrigger ) { - jQuery.event.simulate( "change", this.parentNode, event, true ); - } - }); - jQuery._data( elem, "changeBubbles", true ); - } - }); - }, - - handle: function( event ) { - var elem = event.target; - - // Swallow native change events from checkbox/radio, we already triggered them above - if ( this !== elem || event.isSimulated || event.isTrigger || (elem.type !== "radio" && elem.type !== "checkbox") ) { - return event.handleObj.handler.apply( this, arguments ); - } - }, - - teardown: function() { - jQuery.event.remove( this, "._change" ); - - return !rformElems.test( this.nodeName ); - } - }; -} - -// Create "bubbling" focus and blur events -if ( !support.focusinBubbles ) { - jQuery.each({ focus: "focusin", blur: "focusout" }, function( orig, fix ) { - - // Attach a single capturing handler on the document while someone wants focusin/focusout - var handler = function( event ) { - jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ), true ); - }; - - jQuery.event.special[ fix ] = { - setup: function() { - var doc = this.ownerDocument || this, - attaches = jQuery._data( doc, fix ); - - if ( !attaches ) { - doc.addEventListener( orig, handler, true ); - } - jQuery._data( doc, fix, ( attaches || 0 ) + 1 ); - }, - teardown: function() { - var doc = this.ownerDocument || this, - attaches = jQuery._data( doc, fix ) - 1; - - if ( !attaches ) { - doc.removeEventListener( orig, handler, true ); - jQuery._removeData( doc, fix ); - } else { - jQuery._data( doc, fix, attaches ); - } - } - }; - }); -} - -jQuery.fn.extend({ - - on: function( types, selector, data, fn, /*INTERNAL*/ one ) { - var type, origFn; - - // Types can be a map of types/handlers - if ( typeof types === "object" ) { - // ( types-Object, selector, data ) - if ( typeof selector !== "string" ) { - // ( types-Object, data ) - data = data || selector; - selector = undefined; - } - for ( type in types ) { - this.on( type, selector, data, types[ type ], one ); - } - return this; - } - - if ( data == null && fn == null ) { - // ( types, fn ) - fn = selector; - data = selector = undefined; - } else if ( fn == null ) { - if ( typeof selector === "string" ) { - // ( types, selector, fn ) - fn = data; - data = undefined; - } else { - // ( types, data, fn ) - fn = data; - data = selector; - selector = undefined; - } - } - if ( fn === false ) { - fn = returnFalse; - } else if ( !fn ) { - return this; - } - - if ( one === 1 ) { - origFn = fn; - fn = function( event ) { - // Can use an empty set, since event contains the info - jQuery().off( event ); - return origFn.apply( this, arguments ); - }; - // Use same guid so caller can remove using origFn - fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); - } - return this.each( function() { - jQuery.event.add( this, types, fn, data, selector ); - }); - }, - one: function( types, selector, data, fn ) { - return this.on( types, selector, data, fn, 1 ); - }, - off: function( types, selector, fn ) { - var handleObj, type; - if ( types && types.preventDefault && types.handleObj ) { - // ( event ) dispatched jQuery.Event - handleObj = types.handleObj; - jQuery( types.delegateTarget ).off( - handleObj.namespace ? handleObj.origType + "." + handleObj.namespace : handleObj.origType, - handleObj.selector, - handleObj.handler - ); - return this; - } - if ( typeof types === "object" ) { - // ( types-object [, selector] ) - for ( type in types ) { - this.off( type, selector, types[ type ] ); - } - return this; - } - if ( selector === false || typeof selector === "function" ) { - // ( types [, fn] ) - fn = selector; - selector = undefined; - } - if ( fn === false ) { - fn = returnFalse; - } - return this.each(function() { - jQuery.event.remove( this, types, fn, selector ); - }); - }, - - trigger: function( type, data ) { - return this.each(function() { - jQuery.event.trigger( type, data, this ); - }); - }, - triggerHandler: function( type, data ) { - var elem = this[0]; - if ( elem ) { - return jQuery.event.trigger( type, data, elem, true ); - } - } -}); - - -function createSafeFragment( document ) { - var list = nodeNames.split( "|" ), - safeFrag = document.createDocumentFragment(); - - if ( safeFrag.createElement ) { - while ( list.length ) { - safeFrag.createElement( - list.pop() - ); - } - } - return safeFrag; -} - -var nodeNames = "abbr|article|aside|audio|bdi|canvas|data|datalist|details|figcaption|figure|footer|" + - "header|hgroup|mark|meter|nav|output|progress|section|summary|time|video", - rinlinejQuery = / jQuery\d+="(?:null|\d+)"/g, - rnoshimcache = new RegExp("<(?:" + nodeNames + ")[\\s/>]", "i"), - rleadingWhitespace = /^\s+/, - rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/gi, - rtagName = /<([\w:]+)/, - rtbody = /\s*$/g, - - // We have to close these tags to support XHTML (#13200) - wrapMap = { - option: [ 1, "" ], - legend: [ 1, "
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" ], - - // IE6-8 can't serialize link, script, style, or any html5 (NoScope) tags, - // unless wrapped in a div with non-breaking characters in front of it. - _default: support.htmlSerialize ? [ 0, "", "" ] : [ 1, "X
", "
" ] - }, - safeFragment = createSafeFragment( document ), - fragmentDiv = safeFragment.appendChild( document.createElement("div") ); - -wrapMap.optgroup = wrapMap.option; -wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; -wrapMap.th = wrapMap.td; - -function getAll( context, tag ) { - var elems, elem, - i = 0, - found = typeof context.getElementsByTagName !== strundefined ? context.getElementsByTagName( tag || "*" ) : - typeof context.querySelectorAll !== strundefined ? context.querySelectorAll( tag || "*" ) : - undefined; - - if ( !found ) { - for ( found = [], elems = context.childNodes || context; (elem = elems[i]) != null; i++ ) { - if ( !tag || jQuery.nodeName( elem, tag ) ) { - found.push( elem ); - } else { - jQuery.merge( found, getAll( elem, tag ) ); - } - } - } - - return tag === undefined || tag && jQuery.nodeName( context, tag ) ? - jQuery.merge( [ context ], found ) : - found; -} - -// Used in buildFragment, fixes the defaultChecked property -function fixDefaultChecked( elem ) { - if ( rcheckableType.test( elem.type ) ) { - elem.defaultChecked = elem.checked; - } -} - -// Support: IE<8 -// Manipulating tables requires a tbody -function manipulationTarget( elem, content ) { - return jQuery.nodeName( elem, "table" ) && - jQuery.nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ? - - elem.getElementsByTagName("tbody")[0] || - elem.appendChild( elem.ownerDocument.createElement("tbody") ) : - elem; -} - -// Replace/restore the type attribute of script elements for safe DOM manipulation -function disableScript( elem ) { - elem.type = (jQuery.find.attr( elem, "type" ) !== null) + "/" + elem.type; - return elem; -} -function restoreScript( elem ) { - var match = rscriptTypeMasked.exec( elem.type ); - if ( match ) { - elem.type = match[1]; - } else { - elem.removeAttribute("type"); - } - return elem; -} - -// Mark scripts as having already been evaluated -function setGlobalEval( elems, refElements ) { - var elem, - i = 0; - for ( ; (elem = elems[i]) != null; i++ ) { - jQuery._data( elem, "globalEval", !refElements || jQuery._data( refElements[i], "globalEval" ) ); - } -} - -function cloneCopyEvent( src, dest ) { - - if ( dest.nodeType !== 1 || !jQuery.hasData( src ) ) { - return; - } - - var type, i, l, - oldData = jQuery._data( src ), - curData = jQuery._data( dest, oldData ), - events = oldData.events; - - if ( events ) { - delete curData.handle; - curData.events = {}; - - for ( type in events ) { - for ( i = 0, l = events[ type ].length; i < l; i++ ) { - jQuery.event.add( dest, type, events[ type ][ i ] ); - } - } - } - - // make the cloned public data object a copy from the original - if ( curData.data ) { - curData.data = jQuery.extend( {}, curData.data ); - } -} - -function fixCloneNodeIssues( src, dest ) { - var nodeName, e, data; - - // We do not need to do anything for non-Elements - if ( dest.nodeType !== 1 ) { - return; - } - - nodeName = dest.nodeName.toLowerCase(); - - // IE6-8 copies events bound via attachEvent when using cloneNode. - if ( !support.noCloneEvent && dest[ jQuery.expando ] ) { - data = jQuery._data( dest ); - - for ( e in data.events ) { - jQuery.removeEvent( dest, e, data.handle ); - } - - // Event data gets referenced instead of copied if the expando gets copied too - dest.removeAttribute( jQuery.expando ); - } - - // IE blanks contents when cloning scripts, and tries to evaluate newly-set text - if ( nodeName === "script" && dest.text !== src.text ) { - disableScript( dest ).text = src.text; - restoreScript( dest ); - - // IE6-10 improperly clones children of object elements using classid. - // IE10 throws NoModificationAllowedError if parent is null, #12132. - } else if ( nodeName === "object" ) { - if ( dest.parentNode ) { - dest.outerHTML = src.outerHTML; - } - - // This path appears unavoidable for IE9. When cloning an object - // element in IE9, the outerHTML strategy above is not sufficient. - // If the src has innerHTML and the destination does not, - // copy the src.innerHTML into the dest.innerHTML. #10324 - if ( support.html5Clone && ( src.innerHTML && !jQuery.trim(dest.innerHTML) ) ) { - dest.innerHTML = src.innerHTML; - } - - } else if ( nodeName === "input" && rcheckableType.test( src.type ) ) { - // IE6-8 fails to persist the checked state of a cloned checkbox - // or radio button. Worse, IE6-7 fail to give the cloned element - // a checked appearance if the defaultChecked value isn't also set - - dest.defaultChecked = dest.checked = src.checked; - - // IE6-7 get confused and end up setting the value of a cloned - // checkbox/radio button to an empty string instead of "on" - if ( dest.value !== src.value ) { - dest.value = src.value; - } - - // IE6-8 fails to return the selected option to the default selected - // state when cloning options - } else if ( nodeName === "option" ) { - dest.defaultSelected = dest.selected = src.defaultSelected; - - // IE6-8 fails to set the defaultValue to the correct value when - // cloning other types of input fields - } else if ( nodeName === "input" || nodeName === "textarea" ) { - dest.defaultValue = src.defaultValue; - } -} - -jQuery.extend({ - clone: function( elem, dataAndEvents, deepDataAndEvents ) { - var destElements, node, clone, i, srcElements, - inPage = jQuery.contains( elem.ownerDocument, elem ); - - if ( support.html5Clone || jQuery.isXMLDoc(elem) || !rnoshimcache.test( "<" + elem.nodeName + ">" ) ) { - clone = elem.cloneNode( true ); - - // IE<=8 does not properly clone detached, unknown element nodes - } else { - fragmentDiv.innerHTML = elem.outerHTML; - fragmentDiv.removeChild( clone = fragmentDiv.firstChild ); - } - - if ( (!support.noCloneEvent || !support.noCloneChecked) && - (elem.nodeType === 1 || elem.nodeType === 11) && !jQuery.isXMLDoc(elem) ) { - - // We eschew Sizzle here for performance reasons: http://jsperf.com/getall-vs-sizzle/2 - destElements = getAll( clone ); - srcElements = getAll( elem ); - - // Fix all IE cloning issues - for ( i = 0; (node = srcElements[i]) != null; ++i ) { - // Ensure that the destination node is not null; Fixes #9587 - if ( destElements[i] ) { - fixCloneNodeIssues( node, destElements[i] ); - } - } - } - - // Copy the events from the original to the clone - if ( dataAndEvents ) { - if ( deepDataAndEvents ) { - srcElements = srcElements || getAll( elem ); - destElements = destElements || getAll( clone ); - - for ( i = 0; (node = srcElements[i]) != null; i++ ) { - cloneCopyEvent( node, destElements[i] ); - } - } else { - cloneCopyEvent( elem, clone ); - } - } - - // Preserve script evaluation history - destElements = getAll( clone, "script" ); - if ( destElements.length > 0 ) { - setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); - } - - destElements = srcElements = node = null; - - // Return the cloned set - return clone; - }, - - buildFragment: function( elems, context, scripts, selection ) { - var j, elem, contains, - tmp, tag, tbody, wrap, - l = elems.length, - - // Ensure a safe fragment - safe = createSafeFragment( context ), - - nodes = [], - i = 0; - - for ( ; i < l; i++ ) { - elem = elems[ i ]; - - if ( elem || elem === 0 ) { - - // Add nodes directly - if ( jQuery.type( elem ) === "object" ) { - jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); - - // Convert non-html into a text node - } else if ( !rhtml.test( elem ) ) { - nodes.push( context.createTextNode( elem ) ); - - // Convert html into DOM nodes - } else { - tmp = tmp || safe.appendChild( context.createElement("div") ); - - // Deserialize a standard representation - tag = (rtagName.exec( elem ) || [ "", "" ])[ 1 ].toLowerCase(); - wrap = wrapMap[ tag ] || wrapMap._default; - - tmp.innerHTML = wrap[1] + elem.replace( rxhtmlTag, "<$1>" ) + wrap[2]; - - // Descend through wrappers to the right content - j = wrap[0]; - while ( j-- ) { - tmp = tmp.lastChild; - } - - // Manually add leading whitespace removed by IE - if ( !support.leadingWhitespace && rleadingWhitespace.test( elem ) ) { - nodes.push( context.createTextNode( rleadingWhitespace.exec( elem )[0] ) ); - } - - // Remove IE's autoinserted from table fragments - if ( !support.tbody ) { - - // String was a , *may* have spurious - elem = tag === "table" && !rtbody.test( elem ) ? - tmp.firstChild : - - // String was a bare or - wrap[1] === "
" && !rtbody.test( elem ) ? - tmp : - 0; - - j = elem && elem.childNodes.length; - while ( j-- ) { - if ( jQuery.nodeName( (tbody = elem.childNodes[j]), "tbody" ) && !tbody.childNodes.length ) { - elem.removeChild( tbody ); - } - } - } - - jQuery.merge( nodes, tmp.childNodes ); - - // Fix #12392 for WebKit and IE > 9 - tmp.textContent = ""; - - // Fix #12392 for oldIE - while ( tmp.firstChild ) { - tmp.removeChild( tmp.firstChild ); - } - - // Remember the top-level container for proper cleanup - tmp = safe.lastChild; - } - } - } - - // Fix #11356: Clear elements from fragment - if ( tmp ) { - safe.removeChild( tmp ); - } - - // Reset defaultChecked for any radios and checkboxes - // about to be appended to the DOM in IE 6/7 (#8060) - if ( !support.appendChecked ) { - jQuery.grep( getAll( nodes, "input" ), fixDefaultChecked ); - } - - i = 0; - while ( (elem = nodes[ i++ ]) ) { - - // #4087 - If origin and destination elements are the same, and this is - // that element, do not do anything - if ( selection && jQuery.inArray( elem, selection ) !== -1 ) { - continue; - } - - contains = jQuery.contains( elem.ownerDocument, elem ); - - // Append to fragment - tmp = getAll( safe.appendChild( elem ), "script" ); - - // Preserve script evaluation history - if ( contains ) { - setGlobalEval( tmp ); - } - - // Capture executables - if ( scripts ) { - j = 0; - while ( (elem = tmp[ j++ ]) ) { - if ( rscriptType.test( elem.type || "" ) ) { - scripts.push( elem ); - } - } - } - } - - tmp = null; - - return safe; - }, - - cleanData: function( elems, /* internal */ acceptData ) { - var elem, type, id, data, - i = 0, - internalKey = jQuery.expando, - cache = jQuery.cache, - deleteExpando = support.deleteExpando, - special = jQuery.event.special; - - for ( ; (elem = elems[i]) != null; i++ ) { - if ( acceptData || jQuery.acceptData( elem ) ) { - - id = elem[ internalKey ]; - data = id && cache[ id ]; - - if ( data ) { - if ( data.events ) { - for ( type in data.events ) { - if ( special[ type ] ) { - jQuery.event.remove( elem, type ); - - // This is a shortcut to avoid jQuery.event.remove's overhead - } else { - jQuery.removeEvent( elem, type, data.handle ); - } - } - } - - // Remove cache only if it was not already removed by jQuery.event.remove - if ( cache[ id ] ) { - - delete cache[ id ]; - - // IE does not allow us to delete expando properties from nodes, - // nor does it have a removeAttribute function on Document nodes; - // we must handle all of these cases - if ( deleteExpando ) { - delete elem[ internalKey ]; - - } else if ( typeof elem.removeAttribute !== strundefined ) { - elem.removeAttribute( internalKey ); - - } else { - elem[ internalKey ] = null; - } - - deletedIds.push( id ); - } - } - } - } - } -}); - -jQuery.fn.extend({ - text: function( value ) { - return access( this, function( value ) { - return value === undefined ? - jQuery.text( this ) : - this.empty().append( ( this[0] && this[0].ownerDocument || document ).createTextNode( value ) ); - }, null, value, arguments.length ); - }, - - append: function() { - return this.domManip( arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.appendChild( elem ); - } - }); - }, - - prepend: function() { - return this.domManip( arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.insertBefore( elem, target.firstChild ); - } - }); - }, - - before: function() { - return this.domManip( arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this ); - } - }); - }, - - after: function() { - return this.domManip( arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this.nextSibling ); - } - }); - }, - - remove: function( selector, keepData /* Internal Use Only */ ) { - var elem, - elems = selector ? jQuery.filter( selector, this ) : this, - i = 0; - - for ( ; (elem = elems[i]) != null; i++ ) { - - if ( !keepData && elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem ) ); - } - - if ( elem.parentNode ) { - if ( keepData && jQuery.contains( elem.ownerDocument, elem ) ) { - setGlobalEval( getAll( elem, "script" ) ); - } - elem.parentNode.removeChild( elem ); - } - } - - return this; - }, - - empty: function() { - var elem, - i = 0; - - for ( ; (elem = this[i]) != null; i++ ) { - // Remove element nodes and prevent memory leaks - if ( elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem, false ) ); - } - - // Remove any remaining nodes - while ( elem.firstChild ) { - elem.removeChild( elem.firstChild ); - } - - // If this is a select, ensure that it displays empty (#12336) - // Support: IE<9 - if ( elem.options && jQuery.nodeName( elem, "select" ) ) { - elem.options.length = 0; - } - } - - return this; - }, - - clone: function( dataAndEvents, deepDataAndEvents ) { - dataAndEvents = dataAndEvents == null ? false : dataAndEvents; - deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; - - return this.map(function() { - return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); - }); - }, - - html: function( value ) { - return access( this, function( value ) { - var elem = this[ 0 ] || {}, - i = 0, - l = this.length; - - if ( value === undefined ) { - return elem.nodeType === 1 ? - elem.innerHTML.replace( rinlinejQuery, "" ) : - undefined; - } - - // See if we can take a shortcut and just use innerHTML - if ( typeof value === "string" && !rnoInnerhtml.test( value ) && - ( support.htmlSerialize || !rnoshimcache.test( value ) ) && - ( support.leadingWhitespace || !rleadingWhitespace.test( value ) ) && - !wrapMap[ (rtagName.exec( value ) || [ "", "" ])[ 1 ].toLowerCase() ] ) { - - value = value.replace( rxhtmlTag, "<$1>" ); - - try { - for (; i < l; i++ ) { - // Remove element nodes and prevent memory leaks - elem = this[i] || {}; - if ( elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem, false ) ); - elem.innerHTML = value; - } - } - - elem = 0; - - // If using innerHTML throws an exception, use the fallback method - } catch(e) {} - } - - if ( elem ) { - this.empty().append( value ); - } - }, null, value, arguments.length ); - }, - - replaceWith: function() { - var arg = arguments[ 0 ]; - - // Make the changes, replacing each context element with the new content - this.domManip( arguments, function( elem ) { - arg = this.parentNode; - - jQuery.cleanData( getAll( this ) ); - - if ( arg ) { - arg.replaceChild( elem, this ); - } - }); - - // Force removal if there was no new content (e.g., from empty arguments) - return arg && (arg.length || arg.nodeType) ? this : this.remove(); - }, - - detach: function( selector ) { - return this.remove( selector, true ); - }, - - domManip: function( args, callback ) { - - // Flatten any nested arrays - args = concat.apply( [], args ); - - var first, node, hasScripts, - scripts, doc, fragment, - i = 0, - l = this.length, - set = this, - iNoClone = l - 1, - value = args[0], - isFunction = jQuery.isFunction( value ); - - // We can't cloneNode fragments that contain checked, in WebKit - if ( isFunction || - ( l > 1 && typeof value === "string" && - !support.checkClone && rchecked.test( value ) ) ) { - return this.each(function( index ) { - var self = set.eq( index ); - if ( isFunction ) { - args[0] = value.call( this, index, self.html() ); - } - self.domManip( args, callback ); - }); - } - - if ( l ) { - fragment = jQuery.buildFragment( args, this[ 0 ].ownerDocument, false, this ); - first = fragment.firstChild; - - if ( fragment.childNodes.length === 1 ) { - fragment = first; - } - - if ( first ) { - scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); - hasScripts = scripts.length; - - // Use the original fragment for the last item instead of the first because it can end up - // being emptied incorrectly in certain situations (#8070). - for ( ; i < l; i++ ) { - node = fragment; - - if ( i !== iNoClone ) { - node = jQuery.clone( node, true, true ); - - // Keep references to cloned scripts for later restoration - if ( hasScripts ) { - jQuery.merge( scripts, getAll( node, "script" ) ); - } - } - - callback.call( this[i], node, i ); - } - - if ( hasScripts ) { - doc = scripts[ scripts.length - 1 ].ownerDocument; - - // Reenable scripts - jQuery.map( scripts, restoreScript ); - - // Evaluate executable scripts on first document insertion - for ( i = 0; i < hasScripts; i++ ) { - node = scripts[ i ]; - if ( rscriptType.test( node.type || "" ) && - !jQuery._data( node, "globalEval" ) && jQuery.contains( doc, node ) ) { - - if ( node.src ) { - // Optional AJAX dependency, but won't run scripts if not present - if ( jQuery._evalUrl ) { - jQuery._evalUrl( node.src ); - } - } else { - jQuery.globalEval( ( node.text || node.textContent || node.innerHTML || "" ).replace( rcleanScript, "" ) ); - } - } - } - } - - // Fix #11809: Avoid leaking memory - fragment = first = null; - } - } - - return this; - } -}); - -jQuery.each({ - appendTo: "append", - prependTo: "prepend", - insertBefore: "before", - insertAfter: "after", - replaceAll: "replaceWith" -}, function( name, original ) { - jQuery.fn[ name ] = function( selector ) { - var elems, - i = 0, - ret = [], - insert = jQuery( selector ), - last = insert.length - 1; - - for ( ; i <= last; i++ ) { - elems = i === last ? this : this.clone(true); - jQuery( insert[i] )[ original ]( elems ); - - // Modern browsers can apply jQuery collections as arrays, but oldIE needs a .get() - push.apply( ret, elems.get() ); - } - - return this.pushStack( ret ); - }; -}); - - -var iframe, - elemdisplay = {}; - -/** - * Retrieve the actual display of a element - * @param {String} name nodeName of the element - * @param {Object} doc Document object - */ -// Called only from within defaultDisplay -function actualDisplay( name, doc ) { - var style, - elem = jQuery( doc.createElement( name ) ).appendTo( doc.body ), - - // getDefaultComputedStyle might be reliably used only on attached element - display = window.getDefaultComputedStyle && ( style = window.getDefaultComputedStyle( elem[ 0 ] ) ) ? - - // Use of this method is a temporary fix (more like optmization) until something better comes along, - // since it was removed from specification and supported only in FF - style.display : jQuery.css( elem[ 0 ], "display" ); - - // We don't have any data stored on the element, - // so use "detach" method as fast way to get rid of the element - elem.detach(); - - return display; -} - -/** - * Try to determine the default display value of an element - * @param {String} nodeName - */ -function defaultDisplay( nodeName ) { - var doc = document, - display = elemdisplay[ nodeName ]; - - if ( !display ) { - display = actualDisplay( nodeName, doc ); - - // If the simple way fails, read from inside an iframe - if ( display === "none" || !display ) { - - // Use the already-created iframe if possible - iframe = (iframe || jQuery( "