Python data_files Beispiele

Beispiel #1

Datei: setup_exe.py Projekt: mcbeaker/sasview

path = os.getcwd()

media_dir = os.path.join(path, "media")
images_dir = os.path.join(path, "images")
test_dir = os.path.join(path, "test")

matplotlibdatadir = matplotlib.get_data_path()
matplotlibdata = findall(matplotlibdatadir)
data_files = []
# Copying SLD data
import periodictable
import logging
data_files += periodictable.data_files()

import sas.perspectives.fitting as fitting
data_files += fitting.data_files()

import sas.perspectives.calculator as calculator
data_files += calculator.data_files()

import sas.perspectives.invariant as invariant
data_files += invariant.data_files()

import sas.guiframe as guiframe
data_files += guiframe.data_files()

import sas.models as models
data_files += models.data_files()

for f in matplotlibdata:
    dirname = os.path.join('mpl-data', f[len(matplotlibdatadir) + 1:])

Beispiel #2

Datei: setup_mac.py Projekt: diffpy/srfit-sasview

from distutils.util import get_platform
root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
platform = '%s-%s'%(get_platform(),sys.version[:3])
build_path = os.path.join(root, 'build','lib.'+platform)
sys.path.insert(0, build_path)

ICON = local_config.SetupIconFile_mac
EXTENSIONS_LIST = []
DATA_FILES = []
RESOURCES_FILES = []

#Periodictable data file
DATA_FILES = periodictable.data_files()
#invariant and calculator help doc
import sas.perspectives.fitting as fitting
DATA_FILES += fitting.data_files()
import sas.perspectives.calculator as calculator
DATA_FILES += calculator.data_files()
import sas.perspectives.invariant as invariant
DATA_FILES += invariant.data_files()
import sas.models as models
DATA_FILES += models.data_files()
import sas.guiframe as guiframe
DATA_FILES += guiframe.data_files()

#CANSAxml reader data files
RESOURCES_FILES.append(os.path.join(sas.dataloader.readers.get_data_path(),'defaults.json'))

# Locate libxml2 library
lib_locs = ['/usr/local/lib', '/usr/lib']
libxml_path = None

Beispiel #3

Datei: setup_mac.py Projekt: mcbeaker/sasview

from distutils.util import get_platform
root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
platform = '%s-%s' % (get_platform(), sys.version[:3])
build_path = os.path.join(root, 'build', 'lib.' + platform)
sys.path.insert(0, build_path)

ICON = local_config.SetupIconFile_mac
EXTENSIONS_LIST = []
DATA_FILES = []
RESOURCES_FILES = []

#Periodictable data file
DATA_FILES = periodictable.data_files()
#invariant and calculator help doc
import sas.perspectives.fitting as fitting
DATA_FILES += fitting.data_files()
import sas.perspectives.calculator as calculator
DATA_FILES += calculator.data_files()
import sas.perspectives.invariant as invariant
DATA_FILES += invariant.data_files()
import sas.models as models
DATA_FILES += models.data_files()
import sas.guiframe as guiframe
DATA_FILES += guiframe.data_files()

#CANSAxml reader data files
RESOURCES_FILES.append(
    os.path.join(sas.dataloader.readers.get_data_path(), 'defaults.json'))

# Locate libxml2 library
lib_locs = ['/usr/local/lib', '/usr/lib']

Beispiel #4

Datei: setup_exe.py Projekt: diffpy/srfit-sasview

test_dir = os.path.join(path, "test")
test_1d_dir = os.path.join(path, "test\\1d_data")
test_2d_dir = os.path.join(path, "test\\2d_data")
test_save_dir = os.path.join(path, "test\\save_states")
test_upcoming_dir = os.path.join(path, "test\\upcoming_formats")

matplotlibdatadir = matplotlib.get_data_path()
matplotlibdata = findall(matplotlibdatadir)
data_files = []
# Copying SLD data
import periodictable
import logging
data_files += periodictable.data_files()

import sas.perspectives.fitting as fitting
data_files += fitting.data_files()

import sas.perspectives.calculator as calculator
data_files += calculator.data_files()

import sas.perspectives.invariant as invariant
data_files += invariant.data_files()

import sas.guiframe as guiframe
data_files += guiframe.data_files()

import sas.models as models
data_files += models.data_files()

for f in matplotlibdata:
    dirname = os.path.join('mpl-data', f[len(matplotlibdatadir)+1:])