Loading .pylint.rc +475 −239 File changed.Preview size limit exceeded, changes collapsed. Show changes Makefile +8 −7 Original line number Diff line number Diff line Loading @@ -23,7 +23,10 @@ build: build-ui build-docs build-dist: build @$(PYTHON) setup.py bdist install-user: build install: build-ui pip install . install-user: build-ui pip install --user . uninstall: Loading @@ -40,14 +43,12 @@ pylint: clean: clean-ui clean-docs @-$(PYTHON) setup.py clean @find . -name '*~' | xargs rm -f @find . -name '*.pyc' | xargs rm -f @find . -name '*.pyo' | xargs rm -f @find . -name __pycache__ | xargs rm -rf @rm -f lint.log distclean: clean rm -rf build dist MANIFEST cachedir *.egg-info $(PROJECT).tar.gz @rm -rf build dist MANIFEST cachedir *.egg-info $(PROJECT).tar.gz @find . -name '*~' | xargs rm -f @find . -name '*.py[co]' | xargs rm -f @find . -name '__pycache__' | xargs rm -rf tarball: git archive --format=tar --prefix=$(PROJECT)/ HEAD > $(PROJECT).tar Loading pysen/__init__.py +1 −1 Original line number Diff line number Diff line Loading @@ -6,7 +6,7 @@ from math import pi as PI import scipy.constants as sc from .lib import get_theta, get_q, q_binning, l_binning, t_binning # NOQA from .misc import setup_logger, dictionary_hash # NOQA from .misc import setup_logger, dictionary_hash, DEFAULT_LOG_LEVEL # NOQA from .revision import version # NOQA # h(Planck)/m_n(neutron mass) Loading pysen/config.py +26 −28 Original line number Diff line number Diff line Loading @@ -15,11 +15,13 @@ import numpy as np from . import ( get_theta, get_q, q_binning, l_binning, KAPPA_N_NSA, HMN, ANGSTROM ) INST_POSITIONS = ['p1', 'p2', 'p3', 'p4'] INST_MODES = ['standard', 'shorty', 'shorty_2', 'mixed'] # 1. Distances Ltot = { 'p1': 18.3, 'p2': 21.3, 'p3': 24.3, 'p4': 27.3} # [m] source to detector distance ## Lot [m] source to detector distance Ltot = dict(zip(INST_POSITIONS,[18.3,21.3,24.3,27.3])) L2 = 3.952 # [m] sample to detector distance (was 3.939) M1 = -2.669 # [m] sample to monitor1 distance (negative means upstream) Loading @@ -28,10 +30,7 @@ M2 = -2.709 # [m] sample to monitor2 distance # 2. Limits # min, max scattering angle MIN_PHI = 2.5 # degrees MAX_PHI = {'p1': 29.0, 'p2': 42.0, 'p3': 56.0, 'p4': 79.5} # degrees MAX_PHI = dict(zip(INST_POSITIONS,[29.0,42.0,56.0,79.5])) # degrees # wavelenth bandwitdh # now computed based on Ltot Loading Loading @@ -131,7 +130,6 @@ def wavelength_bandwitdh(pos='p2', freq=DEFAULT_ACCELERATOR_FREQ): return HMN/(Ltot.get(pos)*freq*ANGSTROM) verbose=0 def pixel_angle(ix, iy, theta0, **kwargs): """get pixel polar and azimuth angles in the lab frame Loading Loading @@ -239,17 +237,13 @@ def get_attenuation(att_pos, wavelength, att_table=None): # ========================for coverage ============================================== def _write_ql_min_max(out, qmin, lmax, dlam): "write out min max lambda, q" def _write_ql_min_max(qmin, lmax, dlam): "write min max lambda, q" ql = qmin*lmax out.write("lmax=%.1f qmin=%.3f\t" % (lmax, qmin)) lave = lmax - dlam/2.0 qave = ql/lave out.write("lave=%.1f qave=%.3f\t" % (lave, qave)) lmin = lmax - dlam lave = (lmax + lmin)/2 qmax = ql/lmin out.write("lmin=%.1f qmax=%.3f\n" % (lmin, qmax)) out.write("\n") qave = ql/lave return dict(lmax=lmax,lmin=lmin,lave=lave,qmin=qmin,qmax=qmax,qave=qave) def _coverage_check_tau(taus, tlimits, lmax, limits_error=False): Loading Loading @@ -281,7 +275,7 @@ def _get_theta_pix(x,y,z, sa, ca): def _gen_plot_data(out, q, tau, lmax, l1, l2): lave = 0.5*(l1+l2) out.write("\ttau set=%7.3f" % tau) out.write(" tau\tset=%7.3f" % tau) xtau = tau*(lave/lmax)**3 dt1 = abs(tau*(l1/lmax)**3-xtau) dt2 = abs(tau*(l2/lmax)**3-xtau) Loading Loading @@ -328,28 +322,28 @@ def coverage(lmax, qmin, **kwargs): # check coverage _coverage_check_tau(taus, (tau_min, tau_max), lmax, limits_error=True) theta0 = _coverage_check_theta(qmin, lmax, detpos) #pylint: disable=bad-string-format-type out.write("phi=%4.1f tau_range=(%.3f,%.3f)\n" % (degrees(theta0), tau_min, tau_max)) # results['theta'] = theta0 results['taus'] = taus results['tbins'] = tbins results['tau_min'] = tau_min results['tau_max'] = tau_max results.update(_write_ql_min_max(out, qmin, lmax, dlam)) results.update(_write_ql_min_max(qmin, lmax, dlam)) out.write('q=({qmin:.3f},{qmax:.3f}), ' 'lambda=({lmin:.2f},{lmax:.2f})\n' .format(**results)) plot_data = [] for it1, it2 in zip(tbin1, tbin2): l1 = l_binning(lmax, it1, dlam=dlam, nt=ntbin) l2 = l_binning(lmax, it2, dlam=dlam, nt=ntbin) lave = 0.5*(l1+l2) q, dq = q_binning(lmax, qmin, it1, it2, dlam=dlam, nt=ntbin) out.write("q=(%.3f +/-%.3f)\t" % (q, dq)) out.write("lave=%.3f [%d %d]\n" % (lave, it1, it2)) out.write("qave=({0:.3f} +/- {1:.3f})\t".format(q, dq)) out.write("lave={0:.2f} [{1} {2}]\n".format(lave, it1, it2)) _coverage_check_tau(taus, (tau_min, tau_max), lmax, limits_error=limits) for tau in taus: res = _gen_plot_data(out, q, tau, lmax, l1,l2) plot_data.append(res+(dq,dq,tau)) out.write("\n") results['plot_data'] = np.asarray(plot_data).T # limits Loading @@ -370,6 +364,10 @@ def coverage(lmax, qmin, **kwargs): t1, t2 = tau_limits(lq/q, mode) limits.append((q, t1, t2)) results['info'] = ( "q={0:.3f}/A, lambda={1:.2f}A, " "phi={2:.1f}deg, tau_range=({3:.1f},{4:.1f})ns" .format(qmin, lmax, degrees(theta0), tau_min, tau_max) ) results['limits'] = limits results['message'] = out.getvalue() return results # (lmax, qmin, result, limits, out.getvalue()) results['details'] = out.getvalue() return results pysen/inout/convert2hdf.py +3 −2 Original line number Diff line number Diff line Loading @@ -14,8 +14,9 @@ def convert_file(filenames, outdir, **kwargs): log = logging.getLogger() for filename in filenames: # get the file extension and the header try: basename = os.path.basename(filename) _, file_ext = os.path.splitext(filename) try: if file_ext=='.echo': log.debug('reading echo data %s', filename) outfile = convert_to_hdf(filename, outdir, data_type='echo', **kwargs) Loading @@ -35,7 +36,7 @@ def convert_file(filenames, outdir, **kwargs): raise RuntimeError("Unknown file type") log.info('written HDF5 file %s', outfile) except RuntimeError as exc: log.warning("error converting %s: %s", os.path.basename(filename), exc) log.warning("error converting %s: %s", basename, exc) except OSError as exc: log.warning("error converting %s: %s", filename, exc.strerror) Loading Loading
Makefile +8 −7 Original line number Diff line number Diff line Loading @@ -23,7 +23,10 @@ build: build-ui build-docs build-dist: build @$(PYTHON) setup.py bdist install-user: build install: build-ui pip install . install-user: build-ui pip install --user . uninstall: Loading @@ -40,14 +43,12 @@ pylint: clean: clean-ui clean-docs @-$(PYTHON) setup.py clean @find . -name '*~' | xargs rm -f @find . -name '*.pyc' | xargs rm -f @find . -name '*.pyo' | xargs rm -f @find . -name __pycache__ | xargs rm -rf @rm -f lint.log distclean: clean rm -rf build dist MANIFEST cachedir *.egg-info $(PROJECT).tar.gz @rm -rf build dist MANIFEST cachedir *.egg-info $(PROJECT).tar.gz @find . -name '*~' | xargs rm -f @find . -name '*.py[co]' | xargs rm -f @find . -name '__pycache__' | xargs rm -rf tarball: git archive --format=tar --prefix=$(PROJECT)/ HEAD > $(PROJECT).tar Loading
pysen/__init__.py +1 −1 Original line number Diff line number Diff line Loading @@ -6,7 +6,7 @@ from math import pi as PI import scipy.constants as sc from .lib import get_theta, get_q, q_binning, l_binning, t_binning # NOQA from .misc import setup_logger, dictionary_hash # NOQA from .misc import setup_logger, dictionary_hash, DEFAULT_LOG_LEVEL # NOQA from .revision import version # NOQA # h(Planck)/m_n(neutron mass) Loading
pysen/config.py +26 −28 Original line number Diff line number Diff line Loading @@ -15,11 +15,13 @@ import numpy as np from . import ( get_theta, get_q, q_binning, l_binning, KAPPA_N_NSA, HMN, ANGSTROM ) INST_POSITIONS = ['p1', 'p2', 'p3', 'p4'] INST_MODES = ['standard', 'shorty', 'shorty_2', 'mixed'] # 1. Distances Ltot = { 'p1': 18.3, 'p2': 21.3, 'p3': 24.3, 'p4': 27.3} # [m] source to detector distance ## Lot [m] source to detector distance Ltot = dict(zip(INST_POSITIONS,[18.3,21.3,24.3,27.3])) L2 = 3.952 # [m] sample to detector distance (was 3.939) M1 = -2.669 # [m] sample to monitor1 distance (negative means upstream) Loading @@ -28,10 +30,7 @@ M2 = -2.709 # [m] sample to monitor2 distance # 2. Limits # min, max scattering angle MIN_PHI = 2.5 # degrees MAX_PHI = {'p1': 29.0, 'p2': 42.0, 'p3': 56.0, 'p4': 79.5} # degrees MAX_PHI = dict(zip(INST_POSITIONS,[29.0,42.0,56.0,79.5])) # degrees # wavelenth bandwitdh # now computed based on Ltot Loading Loading @@ -131,7 +130,6 @@ def wavelength_bandwitdh(pos='p2', freq=DEFAULT_ACCELERATOR_FREQ): return HMN/(Ltot.get(pos)*freq*ANGSTROM) verbose=0 def pixel_angle(ix, iy, theta0, **kwargs): """get pixel polar and azimuth angles in the lab frame Loading Loading @@ -239,17 +237,13 @@ def get_attenuation(att_pos, wavelength, att_table=None): # ========================for coverage ============================================== def _write_ql_min_max(out, qmin, lmax, dlam): "write out min max lambda, q" def _write_ql_min_max(qmin, lmax, dlam): "write min max lambda, q" ql = qmin*lmax out.write("lmax=%.1f qmin=%.3f\t" % (lmax, qmin)) lave = lmax - dlam/2.0 qave = ql/lave out.write("lave=%.1f qave=%.3f\t" % (lave, qave)) lmin = lmax - dlam lave = (lmax + lmin)/2 qmax = ql/lmin out.write("lmin=%.1f qmax=%.3f\n" % (lmin, qmax)) out.write("\n") qave = ql/lave return dict(lmax=lmax,lmin=lmin,lave=lave,qmin=qmin,qmax=qmax,qave=qave) def _coverage_check_tau(taus, tlimits, lmax, limits_error=False): Loading Loading @@ -281,7 +275,7 @@ def _get_theta_pix(x,y,z, sa, ca): def _gen_plot_data(out, q, tau, lmax, l1, l2): lave = 0.5*(l1+l2) out.write("\ttau set=%7.3f" % tau) out.write(" tau\tset=%7.3f" % tau) xtau = tau*(lave/lmax)**3 dt1 = abs(tau*(l1/lmax)**3-xtau) dt2 = abs(tau*(l2/lmax)**3-xtau) Loading Loading @@ -328,28 +322,28 @@ def coverage(lmax, qmin, **kwargs): # check coverage _coverage_check_tau(taus, (tau_min, tau_max), lmax, limits_error=True) theta0 = _coverage_check_theta(qmin, lmax, detpos) #pylint: disable=bad-string-format-type out.write("phi=%4.1f tau_range=(%.3f,%.3f)\n" % (degrees(theta0), tau_min, tau_max)) # results['theta'] = theta0 results['taus'] = taus results['tbins'] = tbins results['tau_min'] = tau_min results['tau_max'] = tau_max results.update(_write_ql_min_max(out, qmin, lmax, dlam)) results.update(_write_ql_min_max(qmin, lmax, dlam)) out.write('q=({qmin:.3f},{qmax:.3f}), ' 'lambda=({lmin:.2f},{lmax:.2f})\n' .format(**results)) plot_data = [] for it1, it2 in zip(tbin1, tbin2): l1 = l_binning(lmax, it1, dlam=dlam, nt=ntbin) l2 = l_binning(lmax, it2, dlam=dlam, nt=ntbin) lave = 0.5*(l1+l2) q, dq = q_binning(lmax, qmin, it1, it2, dlam=dlam, nt=ntbin) out.write("q=(%.3f +/-%.3f)\t" % (q, dq)) out.write("lave=%.3f [%d %d]\n" % (lave, it1, it2)) out.write("qave=({0:.3f} +/- {1:.3f})\t".format(q, dq)) out.write("lave={0:.2f} [{1} {2}]\n".format(lave, it1, it2)) _coverage_check_tau(taus, (tau_min, tau_max), lmax, limits_error=limits) for tau in taus: res = _gen_plot_data(out, q, tau, lmax, l1,l2) plot_data.append(res+(dq,dq,tau)) out.write("\n") results['plot_data'] = np.asarray(plot_data).T # limits Loading @@ -370,6 +364,10 @@ def coverage(lmax, qmin, **kwargs): t1, t2 = tau_limits(lq/q, mode) limits.append((q, t1, t2)) results['info'] = ( "q={0:.3f}/A, lambda={1:.2f}A, " "phi={2:.1f}deg, tau_range=({3:.1f},{4:.1f})ns" .format(qmin, lmax, degrees(theta0), tau_min, tau_max) ) results['limits'] = limits results['message'] = out.getvalue() return results # (lmax, qmin, result, limits, out.getvalue()) results['details'] = out.getvalue() return results
pysen/inout/convert2hdf.py +3 −2 Original line number Diff line number Diff line Loading @@ -14,8 +14,9 @@ def convert_file(filenames, outdir, **kwargs): log = logging.getLogger() for filename in filenames: # get the file extension and the header try: basename = os.path.basename(filename) _, file_ext = os.path.splitext(filename) try: if file_ext=='.echo': log.debug('reading echo data %s', filename) outfile = convert_to_hdf(filename, outdir, data_type='echo', **kwargs) Loading @@ -35,7 +36,7 @@ def convert_file(filenames, outdir, **kwargs): raise RuntimeError("Unknown file type") log.info('written HDF5 file %s', outfile) except RuntimeError as exc: log.warning("error converting %s: %s", os.path.basename(filename), exc) log.warning("error converting %s: %s", basename, exc) except OSError as exc: log.warning("error converting %s: %s", filename, exc.strerror) Loading