# Copyright (C) 2012 Alex Nitz, Josh Willis
#
# This program 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.
#
# This program 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 this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# =============================================================================
#
# Preamble
#
# =============================================================================
#
"""PyCBC contains a toolkit for CBC gravitational wave analysis
"""
import subprocess, os, sys, signal, warnings
# Filter annoying Cython warnings that serve no good purpose.
warnings.filterwarnings("ignore", message="numpy.dtype size changed")
warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
import logging
import random
import string
try:
# This will fail when pycbc is imported during the build process,
# before version.py has been generated.
from .version import git_hash
from .version import version as pycbc_version
except:
git_hash = 'none'
pycbc_version = 'none'
__version__ = pycbc_version
[docs]def init_logging(verbose=False, format='%(asctime)s %(message)s'):
"""Common utility for setting up logging in PyCBC.
Installs a signal handler such that verbosity can be activated at
run-time by sending a SIGUSR1 to the process.
Parameters
----------
verbose : bool or int, optional
What level to set the verbosity level to. Accepts either a boolean
or an integer representing the level to set. If True/False will set to
``logging.INFO``/``logging.WARN``. For higher logging levels, pass
an integer representing the level to set (see the ``logging`` module
for details). Default is ``False`` (``logging.WARN``).
format : str, optional
The format to use for logging messages.
"""
def sig_handler(signum, frame):
logger = logging.getLogger()
log_level = logger.level
if log_level == logging.DEBUG:
log_level = logging.WARN
else:
log_level = logging.DEBUG
logging.warn('Got signal %d, setting log level to %d',
signum, log_level)
logger.setLevel(log_level)
signal.signal(signal.SIGUSR1, sig_handler)
if not verbose:
initial_level = logging.WARN
elif int(verbose) == 1:
initial_level = logging.INFO
else:
initial_level = int(verbose)
logging.getLogger().setLevel(initial_level)
logging.basicConfig(format=format, level=initial_level)
[docs]def makedir(path):
"""
Make the analysis directory path and any parent directories that don't
already exist. Will do nothing if path already exists.
"""
if path is not None and not os.path.exists(path):
os.makedirs(path)
# PyCBC-Specific Constants
# Set the value we want any aligned memory calls to use
# N.B.: *Not* all pycbc memory will be aligned to multiples
# of this value
PYCBC_ALIGNMENT = 32
# Dynamic range factor: a large constant for rescaling
# GW strains. This is 2**69 rounded to 17 sig.fig.
DYN_RANGE_FAC = 5.9029581035870565e+20
# String used to separate parameters in configuration file section headers.
# This is used by the distributions and transforms modules
VARARGS_DELIM = '+'
# Check for optional components of the PyCBC Package
try:
# This is a crude check to make sure that the driver is installed
try:
loaded_modules = subprocess.Popen(['lsmod'], stdout=subprocess.PIPE).communicate()[0]
loaded_modules = loaded_modules.decode()
if 'nvidia' not in loaded_modules:
raise ImportError("nvidia driver may not be installed correctly")
except OSError:
pass
# Check that pycuda is installed and can talk to the driver
import pycuda.driver as _pycudadrv
HAVE_CUDA=True
except ImportError:
HAVE_CUDA=False
# Check for MKL capability
try:
import pycbc.fft.mkl
HAVE_MKL=True
except ImportError:
HAVE_MKL=False
# Check for openmp suppport, currently we pressume it exists, unless on
# platforms (mac) that are silly and don't use the standard gcc.
if sys.platform == 'darwin':
HAVE_OMP = False
# MacosX after python3.7 switched to 'spawn', however, this does not
# preserve common state information which we have relied on when using
# multiprocessing based pools.
import multiprocessing
if hasattr(multiprocessing, 'set_start_method'):
multiprocessing.set_start_method('fork')
else:
HAVE_OMP = True
# https://pynative.com/python-generate-random-string/
[docs]def random_string(stringLength=10):
"""Generate a random string of fixed length """
letters = string.ascii_lowercase
return ''.join(random.choice(letters) for i in range(stringLength))
[docs]def gps_now():
"""Return the current GPS time as a float using Astropy.
"""
from astropy.time import Time
return float(Time.now().gps)