306 lines
7.2 KiB
Python
306 lines
7.2 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import hashlib
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import numpy as np
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import os
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import pwd
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import re
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import subprocess
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from obspy.core import UTCDateTime
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def _pickle_method(m):
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if m.im_self is None:
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return getattr, (m.im_class, m.im_func.func_name)
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else:
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return getattr, (m.im_self, m.im_func.func_name)
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def worker(func, input, cores='max', async=False):
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import multiprocessing
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if cores == 'max':
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cores = multiprocessing.cpu_count()
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pool = multiprocessing.Pool(cores)
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if async == True:
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result = pool.map_async(func, input)
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else:
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result = pool.map(func, input)
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pool.close()
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return result
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def clims(lim1, lim2):
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"""
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takes two pairs of limits and returns one pair of common limts
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:param lim1:
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:param lim2:
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:return:
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>>> clims([0, 4], [1, 3])
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[0, 4]
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>>> clims([1, 4], [0, 3])
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[0, 4]
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>>> clims([1, 3], [0, 4])
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[0, 4]
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>>> clims([0, 3], [1, 4])
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[0, 4]
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>>> clims([0, 3], [0, 4])
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[0, 4]
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>>> clims([1, 4], [0, 4])
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[0, 4]
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>>> clims([0, 4], [0, 4])
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[0, 4]
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>>> clims([0, 4], [1, 4])
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[0, 4]
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>>> clims([0, 4], [0, 3])
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[0, 4]
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"""
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lim = [None, None]
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if lim1[0] < lim2[0]:
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lim[0] = lim1[0]
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else:
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lim[0] = lim2[0]
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if lim1[1] > lim2[1]:
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lim[1] = lim1[1]
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else:
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lim[1] = lim2[1]
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return lim
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def demeanTrace(trace, window):
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"""
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returns the DATA where each trace is demean by the average value within
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WINDOW
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:param trace: waveform trace object
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:type trace: `~obspy.core.stream.Trace`
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:param window:
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:type window: tuple
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:return: trace
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:rtype: `~obspy.core.stream.Trace`
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"""
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trace.data -= trace.data[window].mean()
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return trace
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def findComboBoxIndex(combo_box, val):
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"""
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Function findComboBoxIndex takes a QComboBox object and a string and
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returns either 0 or the index throughout all QComboBox items.
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:param combo_box: Combo box object.
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:type combo_box: QComboBox
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:param val: Name of a combo box to search for.
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:type val:
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:return: index value of item with name val or 0
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"""
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return combo_box.findText(val) if combo_box.findText(val) is not -1 else 0
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def find_nearest(array, value):
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'''
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Function find_nearest takes an array and a value and returns the
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index of the nearest value found in the array.
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:param array:
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:param value:
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:return:
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'''
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return (np.abs(array - value)).argmin()
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def fnConstructor(s):
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'''
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:param s:
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:type s:
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:return:
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'''
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if type(s) is str:
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s = s.split(':')[-1]
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else:
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s = getHash(UTCDateTime())
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badchars = re.compile(r'[^A-Za-z0-9_. ]+|^\.|\.$|^ | $|^$')
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badsuffix = re.compile(r'(aux|com[1-9]|con|lpt[1-9]|prn)(\.|$)')
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fn = badchars.sub('_', s)
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if badsuffix.match(fn):
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fn = '_' + fn
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return fn
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def four_digits(year):
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if year + 2000 < UTCDateTime.utcnow().year:
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year += 2000
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else:
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year += 1900
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return year
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def getGlobalTimes(stream):
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'''
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:param stream:
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:type stream
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:return:
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'''
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min_start = UTCDateTime()
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max_end = None
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for trace in stream:
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if trace.stats.starttime < min_start:
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min_start = trace.stats.starttime
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if max_end is None or trace.stats.endtime > max_end:
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max_end = trace.stats.endtime
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return min_start, max_end
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def getHash(time):
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'''
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:param time: time object for which a hash should be calculated
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:type time: :class: `~obspy.core.utcdatetime.UTCDateTime` object
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:return: str
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'''
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hg = hashlib.sha1()
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hg.update(time.strftime('%Y-%m-%d %H:%M:%S.%f'))
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return hg.hexdigest()
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def getLogin():
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'''
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:return:
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'''
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return pwd.getpwuid(os.getuid())[0]
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def getOwner(fn):
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'''
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:param fn:
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:type fn:
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:return:
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'''
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return pwd.getpwuid(os.stat(fn).st_uid).pw_name
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def getPatternLine(fn, pattern):
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"""
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Takes a file name and a pattern string to search for in the file and
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returns the first line which contains the pattern string otherwise None.
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:param fn: file name
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:type fn: str
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:param pattern: pattern string to search for
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:type pattern: str
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:return: the complete line containing pattern or None
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>>> getPatternLine('utils.py', 'python')
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'#!/usr/bin/env python\\n'
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>>> print(getPatternLine('version.py', 'palindrome'))
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None
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"""
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fobj = open(fn, 'r')
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for line in fobj.readlines():
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if pattern in line:
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fobj.close()
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return line
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return None
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def isSorted(iterable):
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'''
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:param iterable:
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:type iterable:
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:return:
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'''
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return sorted(iterable) == iterable
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def prepTimeAxis(stime, trace):
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'''
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:param stime:
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:type stime:
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:param trace:
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:type trace:
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:return:
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'''
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nsamp = trace.stats.npts
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srate = trace.stats.sampling_rate
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tincr = trace.stats.delta
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etime = stime + nsamp / srate
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time_ax = np.arange(stime, etime, tincr)
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if len(time_ax) < nsamp:
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print('elongate time axes by one datum')
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time_ax = np.arange(stime, etime + tincr, tincr)
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elif len(time_ax) > nsamp:
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print('shorten time axes by one datum')
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time_ax = np.arange(stime, etime - tincr, tincr)
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if len(time_ax) != nsamp:
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raise ValueError('{0} samples of data \n '
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'{1} length of time vector \n'
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'delta: {2}'.format(nsamp, len(time_ax), tincr))
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return time_ax
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def scaleWFData(data, factor=None, components='all'):
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"""
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produce scaled waveforms from given waveform data and a scaling factor,
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waveform may be selected by their components name
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:param data: waveform data to be scaled
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:type data: `~obspy.core.stream.Stream` object
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:param factor: scaling factor
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:type factor: float
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:param components: components labels for the traces in data to be scaled by
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the scaling factor (optional, default: 'all')
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:type components: tuple
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:return: scaled waveform data
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:rtype: `~obspy.core.stream.Stream` object
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"""
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if components is not 'all':
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for comp in components:
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if factor is None:
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max_val = np.max(np.abs(data.select(component=comp)[0].data))
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data.select(component=comp)[0].data /= 2 * max_val
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else:
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data.select(component=comp)[0].data /= 2 * factor
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else:
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for tr in data:
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if factor is None:
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max_val = float(np.max(np.abs(tr.data)))
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tr.data /= 2 * max_val
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else:
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tr.data /= 2 * factor
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return data
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def runProgram(cmd, parameter=None):
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"""
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run an external program specified by cmd with parameters input returning the
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stdout output
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:param cmd: name of the command to run
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:type cmd: str
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:param parameter: filename of parameter file or parameter string
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:type parameter: str
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:return: stdout output
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:rtype: str
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"""
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if parameter:
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cmd.strip()
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cmd += ' %s 2>&1' % parameter
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output = subprocess.check_output('{} | tee /dev/stderr'.format(cmd),
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shell=True)
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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