def __init__(self, parent, filename):
super(LoadDialog, self).__init__(parent)
self.setupUi(self)
# init datatype combobox
self.DataTypeComboBox.addItems(DTYPES_LABELS)
self.DataTypeComboBox.setCurrentIndex(DTYPES.index(rawfile.datatype_float64))
self.filename = filename
self.FileFormatComboBox.currentIndexChanged.connect(self.on_format_change)
self.FileFormatComboBox.currentIndexChanged.connect(self.load_preview)
self.DataTypeComboBox.currentIndexChanged.connect(self.load_preview)
self.ByteOrderComboBox.currentIndexChanged.connect(self.load_preview)
# Detect settings
if futils.istextfile(self.filename):
self.FileFormatComboBox.setCurrentIndex(1)
# Detect sample rate
fs = futils.get_sample_rate(filename)
if fs:
self.SampleFrequencySpinBox.setValue(fs)
else:
self.FileFormatComboBox.setCurrentIndex(0)
if futils.is_little_endian():
self.ByteOrderComboBox.setCurrentIndex(0)
else:
self.ByteOrderComboBox.setCurrentIndex(1)
self.load_preview()
def get_file_handler(filename, fmt='', dtype='float64', byteorder='native', **kwargs):
"""Gets a handler for a binary or text file.
Args:
filename: name of the file.
fmt: The format of the data file to read.
Possible values are 'binary', 'text' or ''.
If '' is selected, the function will detect whether the file
is a binary or a text file.
dtype: Data-type of the numeric data stored in the file.
Possible values are 'int16', 'int32', 'int64', 'float16', 'float32'
and 'float64'. Default value is 'float64'.
byteorder: Byte-order of the numeric data stored in the file.
Possible values are 'little-endian', 'big-endian' and 'native'.
Default value is 'native'.
Returns:
A BinFile or TextFile object, depending of 'fmt'.
"""
if isinstance(filename, file):
filename = filename.name
formats = [format_binary, format_text]
if fmt not in formats:
fmt = format_text if futils.istextfile(filename) else format_binary
if fmt == format_text:
return TextFile(filename, dtype=dtype, byteorder=byteorder)
else:
return BinFile(filename, dtype=dtype, byteorder=byteorder)
def get_file_handler(filename,
fmt='',
dtype='float64',
byteorder='native',
**kwargs):
"""Gets a handler for a binary or text file.
Args:
filename: name of the file.
fmt: The format of the data file to read.
Possible values are 'binary', 'text' or ''.
If '' is selected, the function will detect whether the file
is a binary or a text file.
dtype: Data-type of the numeric data stored in the file.
Possible values are 'int16', 'int32', 'int64', 'float16', 'float32'
and 'float64'. Default value is 'float64'.
byteorder: Byte-order of the numeric data stored in the file.
Possible values are 'little-endian', 'big-endian' and 'native'.
Default value is 'native'.
Returns:
A BinFile or TextFile object, depending of 'fmt'.
"""
if isinstance(filename, file):
filename = filename.name
formats = [format_binary, format_text]
if fmt not in formats:
fmt = format_text if futils.istextfile(filename) else format_binary
if fmt == format_text:
return TextFile(filename, dtype=dtype, byteorder=byteorder)
else:
return BinFile(filename, dtype=dtype, byteorder=byteorder)
def _fopen(self, fname):
if futils.istextfile(fname):
ft = argparse.FileType('r')
else:
ft = argparse.FileType('rb')
return ft(fname)
def _fopen(self, fname):
if futils.istextfile(fname):
ft = argparse.FileType('r')
else:
ft = argparse.FileType('rb')
return ft(fname)
def generate(FILEIN, length, t_event, output, gen_event_power=5.0, n_events=1,
gen_noise_coefficients=False, output_format='binary',
datatype='float64', byteorder='native', **kwargs):
"""Generates synthetic earthquake signals with background noise and saves
them to file.
The function accepts a list of command-line arguments and renders synthetic
seismic data in two ways: If a list of input files containing seismic data
is provided, the function generates a new output signal for each one of
the files by adding background noise. If no input file is provided,
the function generates a list of synthetic seismic signals.
Args:
FILEIN: A list of binary or text file objects storing seismic data.
length: Length of rendered seismic signals, in seconds.
If FILEIN is None, this parameter has no effect.
t_event: Start time of rendered earthquake, given in seconds from the
beginning of the signal.
If FILEIN is None, this parameter has no effect.
output: Output file name (absolute path).
If no input file is provided and n_events is greater than 1, the
name of each generated file will be followed by its ordinal number.
E.g. given FILEIN = None, output = 'example.out' and n_events = 5,
the function will generate 5 synthetic files named:
'example00.out', 'example01.out', 'example02.out', 'example03.out'
and 'example04.out'.
gen_event_power: Earthquake power in dB.
If FILEIN is None, this parameter has no effect.
Default: 5.0.
n_events: No. of signals to generate.
If FILEIN is None, this parameter has no effect.
Default: 1.
gen_noise_coefficients: A binary or text file object containing a list
of numeric coefficients of a FIR filter that models the background
noise.
Default value is False, meaning unfiltered white noise is used
to model the background noise.
output_format: Output file format. Possible values are 'binary' or
'text'. Default: 'binary'.
datatype: Data-type of generated data. Default value is 'float64'.
If FILEIN is not None, this parameter is also the datatype of
input data.
byteorder: Byte-order of generated data. Possible values are
'little-endian', 'big-endian' and 'native'.
If FILEIN is not None, this parameter is also the format of
input data.
Default value is 'native'.
"""
fs = kwargs.get('fs', 50.0)
# Configure generator
clt.print_msg("Configuring generator... ")
generator = eqgenerator.EarthquakeGenerator(**kwargs)
clt.print_msg("Done\n")
# Load noise coefficients
if gen_noise_coefficients:
if futils.istextfile(gen_noise_coefficients):
f = open(gen_noise_coefficients, 'r')
else:
f = open(gen_noise_coefficients, 'rb')
clt.print_msg("Loading noise coefficients from %s... " %
f.name)
generator.load_noise_coefficients(f, dtype=datatype,
byteorder=byteorder)
clt.print_msg("Done\n")
# Process input files
basename, ext = os.path.splitext(output)
filename_out = output
# If a list of input files containing seismic data
# is provided, generate a new output signal for each one of
# the files by adding background noise.
if FILEIN:
fileno = 0
for f in FILEIN:
# Read input signal
fin_handler = rawfile.get_file_handler(f, dtype=datatype,
byteorder=byteorder)
clt.print_msg("Loading seismic signal from %s... " %
fin_handler.filename)
signal = fin_handler.read()
clt.print_msg("Done\n")
# Generate output filename
if len(FILEIN) > 1:
filename_out = "%s%02.0i%s" % (basename, fileno, ext)
fileno += 1
clt.print_msg("Generating artificial signal in %s... " %
filename_out)
# Add background noise to signal
eq = generator.generate_noise(signal)
# Save outputs to file
if output_format == 'text':
fout_handler = rawfile.TextFile(filename_out, dtype=datatype,
byteorder=byteorder)
else:
fout_handler = rawfile.BinFile(filename_out, dtype=datatype,
byteorder=byteorder)
fout_handler.write(eq, header="Sample rate: %g Hz." % fs)
clt.print_msg("Done\n")
# If no input file is provided,
# generate a list of synthetic seismic signals.
else:
for i in xrange(n_events):
# Generate output filename
if n_events > 1:
filename_out = "%s%02.0i%s" % (basename, i, ext)
clt.print_msg("Generating artificial signal in %s... " %
filename_out)
# Generate a synthetic signal
eq = generator.generate_earthquake(length, t_event,
gen_event_power)
# Save outputs to file
if output_format == 'text':
fout_handler = rawfile.TextFile(filename_out, dtype=datatype,
byteorder=byteorder)
else:
fout_handler = rawfile.BinFile(filename_out, dtype=datatype,
byteorder=byteorder)
fout_handler.write(eq, header="Sample rate: %g Hz." % fs)
clt.print_msg("Done\n")
