bugfix: remove unused functions; correct for wrong formatting (PEP)
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c468bfbe84
commit
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4
PyLoT.py
4
PyLoT.py
@ -72,7 +72,7 @@ from pylot.core.util.errors import DatastructureError, \
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OverwriteError
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from pylot.core.util.connection import checkurl
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from pylot.core.util.dataprocessing import Metadata, restitute_data
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from pylot.core.util.utils import fnConstructor, getLogin, \
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from pylot.core.util.utils import fnConstructor, get_login, \
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full_range, readFilterInformation, pick_color_plt, \
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pick_linestyle_plt, identifyPhaseID, excludeQualityClasses, \
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transform_colors_mpl, transform_colors_mpl_str, getAutoFilteroptions, check_all_obspy, \
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@ -196,7 +196,7 @@ class MainWindow(QMainWindow):
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if settings.value("user/FullName", None) is None:
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fulluser = QInputDialog.getText(self, "Enter Name:", "Full name")
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settings.setValue("user/FullName", fulluser)
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settings.setValue("user/Login", getLogin())
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settings.setValue("user/Login", get_login())
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if settings.value("agency_id", None) is None:
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agency = QInputDialog.getText(self,
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"Enter authority/institution name:",
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@ -1,7 +1,7 @@
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from obspy import UTCDateTime
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from obspy.core import event as ope
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from pylot.core.util.utils import getLogin, get_hash
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from pylot.core.util.utils import get_login, get_hash
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def create_amplitude(pickID, amp, unit, category, cinfo):
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@ -61,7 +61,7 @@ def create_creation_info(agency_id=None, creation_time=None, author=None):
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:return:
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'''
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if author is None:
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author = getLogin()
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author = get_login()
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if creation_time is None:
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creation_time = UTCDateTime()
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return ope.CreationInfo(agency_id=agency_id, author=author,
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@ -86,25 +86,6 @@ def fit_curve(x, y):
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return splev, splrep(x, y)
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def getindexbounds(f, eta):
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"""
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Get indices of values closest below and above maximum value in an array
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:param f: array
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:type f: `~numpy.ndarray`
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:param eta: look for value in array that is closes to max_value * eta
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:type eta: float
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:return: tuple containing index of max value, index of value closest below max value,
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index of value closest above max value
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:rtype: (int, int, int)
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"""
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mi = f.argmax() # get indices of max values
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m = max(f) # get maximum value
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b = m * eta #
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l = find_nearest(f[:mi], b) # find closest value below max value
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u = find_nearest(f[mi:], b) + mi # find closest value above max value
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return mi, l, u
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def gen_Pool(ncores=0):
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"""
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Generate mulitprocessing pool object utilizing ncores amount of cores
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@ -500,10 +481,10 @@ def get_hash(time):
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return hg.hexdigest()
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def getLogin():
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def get_login():
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"""
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returns the actual user's login ID
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:return: login ID
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returns the actual user's name
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:return: login name
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:rtype: str
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"""
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import getpass
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@ -884,21 +865,6 @@ def transform_colors_mpl(colors):
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return colors_mpl
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def remove_underscores(data):
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"""
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takes a `obspy.core.stream.Stream` object and removes all underscores
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from station names
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:param data: stream of seismic data
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:type data: `~obspy.core.stream.Stream`
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:return: data stream
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:rtype: `~obspy.core.stream.Stream`
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"""
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# for tr in data:
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# # remove underscores
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# tr.stats.station = tr.stats.station.strip('_')
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return data
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def trim_station_components(data, trim_start=True, trim_end=True):
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"""
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cut a stream so only the part common to all three traces is kept to avoid dealing with offsets
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@ -1133,38 +1099,6 @@ def check4rotated(data, metadata=None, verbosity=1):
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return data
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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 != '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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