def scriptCheckpoints(options, maxtick, cptdir):
if options.at_instruction or options.simpoint:
checkpoint_inst = options.take_checkpoints
# maintain correct offset if we restored from some instruction
if options.checkpoint_restore != None:
checkpoint_inst += options.checkpoint_restore
print "Creating checkpoint at inst:%d" % (checkpoint_inst)
exit_event = m5.simulate()
exit_cause = exit_event.getCause()
print "exit cause = %s" % exit_cause
# skip checkpoint instructions should they exist
while exit_cause == "checkpoint":
exit_event = m5.simulate()
exit_cause = exit_event.getCause()
if exit_cause == "a thread reached checkpoint inst number" or \
exit_cause == "sp simulation reached the interval size":
m5.checkpoint(joinpath(cptdir, "cpt.%s.%d" % \
(options.bench, checkpoint_inst)))
print "Checkpoint written."
else:
when, period = options.take_checkpoints.split(",", 1)
when = int(when)
period = int(period)
num_checkpoints = 0
exit_event = m5.simulate(when - m5.curTick())
exit_cause = exit_event.getCause()
while exit_cause == "checkpoint":
exit_event = m5.simulate(when - m5.curTick())
exit_cause = exit_event.getCause()
if exit_cause == "simulate() limit reached":
m5.checkpoint(joinpath(cptdir, "cpt.%d"))
num_checkpoints += 1
sim_ticks = when
max_checkpoints = options.max_checkpoints
while num_checkpoints < max_checkpoints and \
exit_cause == "simulate() limit reached":
if (sim_ticks + period) > maxtick:
exit_event = m5.simulate(maxtick - sim_ticks)
exit_cause = exit_event.getCause()
break
else:
exit_event = m5.simulate(period)
exit_cause = exit_event.getCause()
sim_ticks += period
while exit_event.getCause() == "checkpoint":
exit_event = m5.simulate(sim_ticks - m5.curTick())
if exit_event.getCause() == "simulate() limit reached":
m5.checkpoint(joinpath(cptdir, "cpt.%d"))
num_checkpoints += 1
return exit_event
def main(argv):
root = normpath(joinpath(dirname(argv[0]), ".."))
for javadir in java_directories:
for (dirpath, dirnames, filenames) in os.walk(joinpath(root, javadir)):
for filename in filenames:
if filename.endswith(".java"):
update_blurb(joinpath(dirpath, filename))
def syncdir(srcdir, destdir):
srcdir = normpath(srcdir)
destdir = normpath(destdir)
if not isdir(destdir):
sys.exit('destination directory "%s" does not exist' % destdir)
for root, dirs, files in os.walk(srcdir):
root = normpath(root)
prefix = os.path.commonprefix([root, srcdir])
root = root[len(prefix):]
if root.startswith('/'):
root = root[1:]
for rem in [ d for d in dirs if d.startswith('.') or d == 'SCCS']:
dirs.remove(rem)
for entry in dirs:
newdir = joinpath(destdir, root, entry)
if not isdir(newdir):
os.mkdir(newdir)
print 'mkdir', newdir
for i,d in enumerate(dirs):
if islink(joinpath(srcdir, root, d)):
dirs[i] = joinpath(d, '.')
for entry in files:
dest = normpath(joinpath(destdir, root, entry))
src = normpath(joinpath(srcdir, root, entry))
if not isfile(dest) or not filecmp(src, dest):
print 'copy %s %s' % (dest, src)
copy(src, dest)
def complete_libs(self, text, state):
libs = {}
for i in sys.path:
try:
if i == '':
i = os.curdir
files = os.listdir(i)
for j in files:
filename = joinpath(i, j)
if isfile(filename):
for s in [".py", ".pyc", ".so"]:
if j.endswith(s):
j = j[:-len(s)]
pos = j.find(".")
if pos > 0:
j = j[:pos]
libs[j] = None
break
elif isdir(filename):
for s in ["__init__.py", "__init__.pyc"]:
if isfile(joinpath(filename, s)):
libs[j] = None
except OSError:
pass
for j in sys.builtin_module_names:
libs[j] = None
libs = sorted(j for j in libs.keys() if j.startswith(text))
return libs[state]
def plot(folder, m, n, ground_truth_path = ''):
path_similarities = joinpath(folder, 'similarities.txt')
path_lines = joinpath(folder, 'lines.txt')
m = int(m)
n = int(n)
(figure, axes) = pyplot.subplots()
data = load_similarities(path_similarities, n)
(x, y) = load_lines(path_lines, m, n)
axes.plot(x, y, 'k-')
plot_contours(axes, data)
plot_ground_truth(axes, ground_truth_path)
#data = data[:50, :50]
(m, n) = data.shape
axes.axis([-0.5, n - 0.5, -0.5, m - 0.5])
axes.set_xticks(arange(-0.5, n, 1.0))
axes.set_yticks(arange(-0.5, m, 1.0))
axes.set_xticklabels([(str(i) if i % 10 == 0 else '') for i in range(0, n)])
axes.set_yticklabels([(str(i) if i > 0 and i % 10 == 0 else '') for i in range(0, m)])
axes.xaxis.set_ticks_position('bottom')
axes.grid()
axes.set_xlabel('Replay image index #', labelpad=10)
axes.set_ylabel('Teach image index #', labelpad=10)
pyplot.show()
def put(fitTrackedData, pathArgs=None, force=False, summary=False, showlist=False, quiet=False):
commitsFile = getCommitFile()
commitsFitData = readFitFile(commitsFile)
available = [(f, o, s) for f,(o, s) in commitsFitData.iteritems()]
totalSize = sum([size for f,h,size in available])
if len(available) == 0:
if not quiet:
print 'No tranfers needed! There are no cached objects to put in external location for HEAD.'
elif showlist:
print
for filePath,h,size in available:
print ' %6.2fMB %s'%(size/1048576, filePath)
print '\nThe above objects can be tranferred (maximum total transfer size: %.2fMB).'%(totalSize/1048576)
print 'You may run git-fit put to start the transfer.'
elif summary:
print len(fitTrackedData), 'items are being tracked'
print len(available), 'of the tracked items MAY need to be sent to external location'
print '%.2fMB maximum possible transfer size'%(totalSize/1048576)
print 'Run \'git-fit put -l\' to list these items.'
else:
successes = []
_transfer(_put, available, totalSize, fitTrackedData, successes, quiet)
for filePath, objHash, size in successes:
del commitsFitData[filePath]
if len(commitsFitData) > 0:
writeFitFile(commitsFitData, commitsFile)
elif exists(commitsFile):
remove(commitsFile)
for f in sorted(listdir(commitsDir), key=lambda x: stat(joinpath(commitsDir, x)).st_mtime)[:-2]:
remove(joinpath(commitsDir, f))
def dump_inventory(path, config):
inventory = config.configuration["inventory"]
hostvars = inventory.get("_meta", {})
hostvars = hostvars.get("hostvars", {})
children = {}
yaml_inventory = {
"all": {"children": children},
"vars": {},
}
for groupname, groupstruct in inventory.items():
if groupname == "_meta":
continue
hostsdict = {}
children[groupname] = {
"hosts": hostsdict,
"vars": {}
}
if isinstance(groupstruct, dict):
children[groupname]["vars"] = groupstruct["vars"]
for hostname in groupstruct["hosts"]:
hostsdict[hostname] = hostvars.get(hostname, {})
else:
for hostname in groupstruct:
hostsdict[hostname] = hostvars.get(hostname, {})
path.joinpath("inventory.yaml").write_text(
yaml.dump(yaml_inventory,
default_flow_style=False, explicit_start=True, indent=4)
)
def _foldername(self, additionalpath=""):
if not self._foldername_cache.get(additionalpath):
fn = joinpath(self.base, self.folder, additionalpath) \
if not self.is_subfolder \
else joinpath(self.base, ".%s" % self.folder, additionalpath)
self._foldername_cache[additionalpath] = fn
return self._foldername_cache[additionalpath]
def get_data_path(dir=""):
"""
Locate the examples directory.
"""
from os.path import dirname, abspath, join as joinpath, isdir
key = 'REFLRED_DATA'
if os.environ.has_key(key):
# Check for data path in the environment
path = os.environ[key]
if not isdir(path):
raise RuntimeError('Path in environment %s not a directory'%key)
else:
# Check for data next to the package.
try:
root = dirname(dirname(dirname(abspath(__file__))))
except:
raise RuntimeError("Could not find sample data")
path = joinpath(root,'doc','examples')
path = joinpath(path, dir)
if not isdir(path):
raise RuntimeError('Could not find sample data in '+path)
return path
def data_files():
"""
Return the data files required to run tcc.
"""
from os.path import dirname, join as joinpath
import os
from glob import glob
ROOT = dirname(find_tcc_path())
def _find_files(path, patterns):
target = joinpath('tinycc-data', path) if path else 'tinycc-data'
files = []
for pattern in patterns.split(','):
files.extend(glob(joinpath(ROOT, path, pattern)))
return (target, files)
result = []
result.append(_find_files('include', '*.h'))
for path, dirs, _ in os.walk(joinpath(ROOT, 'include')):
relative_path = path[len(ROOT)+1:]
for d in dirs:
result.append(_find_files(joinpath(relative_path, d), '*.h'))
result.append(_find_files('lib', '*'))
result.append(_find_files('libtcc', '*'))
result.append(_find_files('', '*.exe,*.dll'))
return result
def do_check_style(hgui, repo, *files, **args):
"""check files for proper m5 style guidelines"""
from mercurial import mdiff, util
auto = args.get('auto', False)
if auto:
auto = 'f'
ui = MercurialUI(hgui, hgui.verbose, auto)
if files:
files = frozenset(files)
def skip(name):
return files and name in files
def prompt(name, func, regions=all_regions):
result = ui.prompt("(a)bort, (i)gnore, or (f)ix?", 'aif', 'a')
if result == 'a':
return True
elif result == 'f':
func(repo.wjoin(name), regions)
return False
modified, added, removed, deleted, unknown, ignore, clean = repo.status()
whitespace = Whitespace(ui)
sorted_includes = SortedIncludes(ui)
for fname in added:
if skip(fname):
continue
fpath = joinpath(repo.root, fname)
if whitespace.apply(fpath, prompt):
return True
if sorted_includes.apply(fpath, prompt):
return True
try:
wctx = repo.workingctx()
except:
from mercurial import context
wctx = context.workingctx(repo)
for fname in modified:
if skip(fname):
continue
fpath = joinpath(repo.root, fname)
regions = modregions(wctx, fname)
if whitespace.apply(fpath, prompt, regions):
return True
if sorted_includes.apply(fpath, prompt, regions):
return True
return False
def loadSystemConfig ():
global configlog
configdir = findProgramDirectory ()
gameconfigdir = joinpath (configdir, "games")
if not exists (gameconfigdir):
mkdir (gameconfigdir)
configname = joinpath (configdir, "pydoom.ini")
config = ConfigParser ()
config.add_section ('video')
config.set ('video', 'fullscreen', 'no')
config.set ('video', 'width', '640')
config.set ('video', 'height', '480')
if not exists (configname):
configlog.info ("{} doesn't exist! Creating it.".format (configname))
config.write (open (configname, 'wt'))
else:
configlog.info ("Read settings from {}.".format (configname))
configfile = open (configname, 'rt')
config.read_file (configfile)
configfile.close ()
def find_tcc_path():
"""
Return the path to the tcc executable.
"""
import sys
from os import environ
from os.path import join as joinpath, dirname, realpath, exists
EXE = 'tcc.exe'
# Look for the TCC_PATH environment variable
KEY = 'TCC_ROOT'
if KEY in environ:
path = joinpath(environ[KEY], EXE)
if not exists(path):
raise RuntimeError("%s %r does not contain %s"
% (KEY, environ[KEY], EXE))
return path
# Check in the tinycc package
path = joinpath(dirname(realpath(__file__)), EXE)
if exists(path):
return path
# Check next to exe/zip file
path = joinpath(realpath(dirname(sys.executable)), 'tinycc-data', EXE)
if exists(path):
return path
raise ImportError("Could not locate tcc.exe")
def copy_monitor_keyring(path, config):
secret = kv.KV.find_one("monitor_secret",
config.configuration["global_vars"]["fsid"])
if secret:
path.joinpath("fetch_directory", "monitor_keyring").write_text(
secret.value
)
def test_enable_import_with_ext():
"""Using exts any file extension can be importable."""
ext = ".html,.kid.html"
sys.path.insert(0, tmpdir)
try:
raises(ImportError, "import test_suffixes1")
raises(ImportError, "import test_suffixes2")
raises(ImportError, "import test_suffixes3")
kid.enable_import(ext=ext)
dest = joinpath(tmpdir, "test_suffixes1.kid")
copyfile(tfile, dest)
import test_suffixes1 # *.kid files are always importable
dest = joinpath(tmpdir, "test_suffixes2.html")
copyfile(tfile, dest)
import test_suffixes2
dest = joinpath(tmpdir, "test_suffixes3.kid.html")
copyfile(tfile, dest)
import test_suffixes3
dest = joinpath(tmpdir, "test_suffixes4.xhtml")
copyfile(tfile, dest)
raises(ImportError, "import test_suffixes4")
kid.disable_import()
finally:
sys.path.remove(tmpdir)
def expand_patterns(path, patterns):
target_path = joinpath(EXTERNAL_DIR, *path)
source_path = joinpath(DATA_PATH, *path)
files = []
for p in patterns:
files.extend(glob.glob(joinpath(source_path, p)))
return target_path, files
def installTree(srcDir, destDir, paths):
'''Copies files and directories from the given source directory to the
given destination directory. The given paths argument is a sequence of
paths relative to the source directory; only those files and directories
are copied. The scanTree() function is suitable to provide paths.
Files and directories are created with permissions such that all users can
read (and execute, if appropriate) what is installed and only the owner
can modify what is installed.
Raises IOError if there is a problem reading or writing files or
directories.
'''
if not isdir(destDir):
raise IOError('Destination directory "%s" does not exist' % destDir)
for relPath in paths:
if altsep is not None:
relPath = relPath.replace(altsep, sep)
srcPath = joinpath(srcDir, relPath)
destPath = joinpath(destDir, relPath)
if islink(srcPath):
print 'Skipping symbolic link:', srcPath
elif isdir(srcPath):
_installDirsRec(destPath)
elif isfile(srcPath):
_installDirsRec(dirname(destPath))
installFile(srcPath, destPath)
elif exists(srcPath):
print 'Skipping unknown kind of file system entry:', srcPath
else:
print 'Skipping non-existing path:', srcPath
def __construct_remote_paths(self, source, root_dest, remote_directories,
local_remote_files):
"""Computes the directories and files that are to uploaded to remote
system.
Arguments:
source (str) - absolute path to the local source directory
root_dest (str) - absolute path to the remote destination directory
remote_directories (list) - list reference where the directories
which has to created will be added
local_remote_files (list) - list reference where a tuples of
(localfile_path, remotefile_path)
will be added
root_dest_exists (boolean) - defaults to False; Set to True if dest
exists at remote side
Returns:
The return values are append to the reference variables
i.e remote_directories and local_remote_files list
"""
if local_isfile(source):
root_dest = joinpath(root_dest, local_basename(source))
local_remote_files.append((source, root_dest))
return
parent_dest_exists = root_dest_exists = False
parent_path = root_dest
if self.sftp.isdir(root_dest):
parent_dest_exists = root_dest_exists = True
for base_dir, _, files in local_walk(source):
dest_dir = local_normpath(joinpath(root_dest,
base_dir.replace(source, '').strip(pathsep)))
if root_dest_exists:
new_parent_path = local_dirname(base_dir)
if new_parent_path == parent_path and not parent_dest_exists:
remote_directories.append(dest_dir)
else:
parent_path = new_parent_path
if not self.sftp.exists(dest_dir):
parent_dest_exists = False
remote_directories.append(dest_dir)
elif not self.sftp.isdir(dest_dir):
msg = ''.join(["Copy aborted. Mismatch in file type ",
"Local: '%s' Remote: '%s'" % (base_dir,
dest_dir)])
raise RemoteDispatcherException(msg)
else:
parent_dest_exists = True
else:
remote_directories.append(local_normpath(dest_dir))
local_remote_files.extend(\
[(joinpath(base_dir, fname), \
joinpath(dest_dir, fname)) \
for fname in files])
def create_filepath( fp ):
if "\\" in fp:
fps = joinpath( * fp.split("\\") )
elif "/" in fp:
fps = joinpath( * fp.split("/") )
else:
fps = fp
return fps
def pull(host, maildir, localmaildir, noop=False, verbose=False):
localstore = expanduser(joinpath(localmaildir, "store"))
# Get the list of mail we already have locally
maildir_pattern = re.compile("^([0-9]+\\.[A-Za-z0-9]+)(\\.([.A-Za-z0-9-]+))*(:[2],([PRSTDF]*))*(.*)")
localfiles = [
maildir_pattern.match(f).group(1)
for f in listdir(localstore) if maildir_pattern.match(f)
]
# Make the ssh connection
np = _SSH(host)
# This command produces a list of all files in the maildir like:
# base-filename timestamp container-directory
command = """echo {maildir}/{{cur,new}} | tr ' ' '\\n' | while read path ; do ls -1Ugo --time-style=+%s $path | sed -rne "s|[a-zA-Z-]+[ \t]+[0-9]+[ \t]+[0-9]+[ \t]+([0-9]+)[ \t]+([0-9]+\\.[A-Za-z0-9]+)(\\.([.A-Za-z0-9-]+))*(:[2],([PRSTDF]*))*|\\2 \\1 $path|p";done""".format(
maildir=maildir
)
if verbose:
print command
stdout = np.cmd(command)
lines = stdout.split("\n")
maildir_ls = [line.split(" ") for line in lines if len(line.split(" ")) == 3]
# If we get problems with not finding files in the local list it can help to dump the local list
#with open("/tmp/mdlog", "w") as fd:
# print >>fd, "\n".join(localfiles)
# Loop through the remote files checking the local copies
for basefile, timestamp, container in maildir_ls:
if basefile in localfiles:
if verbose:
print "found %s" % basefile
else:
storefile = joinpath(localstore, basefile)
if existspath(storefile):
if verbose:
print "exists %s %s" % (basefile, storefile)
else:
print "pulling %s %s to %s" % (basefile, container, storefile)
stdout = np.cmd("cat %s/%s*" % (container, basefile))
if not noop and len(stdout) > 0:
with open(storefile, "w") as fd:
fd.write(stdout)
try:
# Now symlink the store file to the correct location
target = joinpath(
expanduser(localmaildir),
basename(container),
basefile
)
symlink(abspath(storefile), target)
except OSError, e:
if e.errno == 17:
# file exists
pass
else:
print "%s %s %s" % (e, storefile, target)
def filename(self, url):
head = self.prefix
i = 0
filename = joinpath(self.target, "%s.jpg" % head)
while os.path.exists(filename):
i += 1
name = "%s_%d.jpg" % (head, i)
filename = joinpath(self.target, name)
return filename
def test_pyc_generation():
# if this exists, the test is worthless. make sure this test runs before
# anything else import test_content
from kid.test import template_dir
kid.enable_import()
assert not exists(joinpath(template_dir, 'test_content.pyc'))
import test.test_content
assert exists(joinpath(template_dir, 'test_content.pyc'))
assert sys.modules.has_key('test.test_content')
def movedir(srcdir, destdir, dir):
src = joinpath(srcdir, dir)
dest = joinpath(destdir, dir)
if not isdir(src):
raise AttributeError
os.makedirs(dirname(dest))
shutil.move(src, dest)
def addDirectory(zipFile, root, zipPath):
for path, dirs, files in os.walk(root):
if '.svn' in dirs:
dirs.remove('.svn') # don't visit .svn directories
for name in files:
thisZipPath = zipPath
if abspath(root) != abspath(path):
thisZipPath = joinpath(thisZipPath, relpath(path, root))
addFile(zipFile, joinpath(path, name), joinpath(thisZipPath, name))
def get_set(files, mypath):
"""
uiid_set - 'mts-my-options' in history
iid_set - 'mts-my-options' in history
uiid_set_only_samara - 'samara.mts' in history
iid_set_only_samara - 'samara.mts' in history
error_names - error in parsing json to dict
"""
count_reports_all = 0
uiid_set = set()
uiid_set_only_samara = set()
iid_set = set()
iid_set_only_samara = set()
error_names = set()
count_reports_all = 0
for f in files[:]:
if isfile(joinpath(mypath, f)):
count_reports = 0
with codecs.open(joinpath(mypath, f), 'r') as infile:
for line in infile:
if 'YA_REPORT_RECEIVE_TIME' in line.rstrip('\n\r'):
count_reports += 1
count_reports_all += 1
elif '{"data"' in line.rstrip('\n\r'):
try:
js = json.loads(line.rstrip('\r\n'))
for x in xrange(len(js["data"])):
if js["data"][x]["name"] not in error_names:
try:
uiid = js["data"][x]["data"].get("uiid")
iid = js["data"][x]["data"].get("iid")
if uiid:
for k, v in js["data"][x]["data"].items():
if k == 'w' and v == 'mts-my-options':
uiid_set.add(uiid)
if 'samara.mts' in str(v):
uiid_set_only_samara.add(uiid)
if iid:
for k, v in js["data"][x]["data"].items():
if k == 'w' and v == 'mts-my-options':
iid_set.add(iid)
if 'samara.mts' in str(v):
iid_set_only_samara.add(iid)
except:
error_names.add(js["data"][x]["name"])
except ValueError:
continue
print 'count_reports file, ', count_reports, f
infile.close()
return uiid_set, iid_set, uiid_set_only_samara, iid_set_only_samara
def _pull(store, localmaildir, noop=False, verbose=False, filterfile=None):
localstore = expanduser(joinpath(localmaildir, "store"))
# Get the list of mail we already have locally
maildir_pattern = re.compile(
"^([0-9]+\\.[A-Za-z0-9]+)(\\.([.A-Za-z0-9-]+))*(:[2],([PRSTDF]*))*(.*)"
)
localfiles = [
maildir_pattern.match(f).group(1)
for f in listdir(localstore) if maildir_pattern.match(f)
]
# Read in the filters if we have them
mailfilters = parse_filter(filterfile) if filterfile else []
mailparser = HeaderOnlyParser() if mailfilters else None
mdfolder = MdFolder(
basename(localmaildir),
base=dirname(localmaildir)
) if mailfilters else None
# Loop through the remote files checking the local copies
for basefile, timestamp, container in _list_remote(store, localmaildir, verbose=verbose):
if basefile in localfiles:
if verbose:
print("found %s" % basefile)
else:
storefile = joinpath(localstore, basefile)
if existspath(storefile):
if verbose:
print("exists %s %s" % (basefile, storefile))
else:
print("pulling %s %s to %s" % (basefile, container, storefile))
stdout = store.cmd("cat %s/%s*" % (container, basefile), verbose=verbose)
if verbose and len(stdout) < 1:
print("%s is an error" % storefile)
if not noop and len(stdout) > 0:
with open(storefile, "w") as fd:
fd.write(stdout)
try:
# Now symlink the store file to the correct location
target = joinpath(
expanduser(localmaildir),
basename(container),
basefile
)
symlink(abspath(storefile), target)
except OSError as e:
if e.errno == 17:
# file exists
pass
else:
print("%s %s %s" % (e, storefile, target))
# If we have filters then we should pass the message object to them
list(_filter(stdout, mailparser, mailfilters, mdfolder))
def _create(dir, subdir, files):
'''Create files.'''
if subdir:
subdir = joinpath(dir, subdir)
mkdir(subdir)
else:
subdir = dir
for file in files.split():
open(joinpath(subdir, file), 'w').write('nothing')
return subdir
def packageZip(info): print 'Generating install files...' generateInstallFiles(info) if not exists(info.packagePath): os.mkdir(info.packagePath) zipFileName = info.packageFileName + '-bin.zip' zipFilePath = joinpath(info.packagePath, zipFileName) if exists(zipFilePath): os.unlink(zipFilePath) print 'Generating ' + zipFilePath zipFile = ZipFile(zipFilePath, 'w') addDirectory(zipFile, joinpath(info.makeInstallPath, 'doc'), 'doc') addDirectory(zipFile, joinpath(info.makeInstallPath, 'share'), 'share') addDirectory(zipFile, info.codecPath, 'codec') addFile(zipFile, info.openmsxExePath, basename(info.openmsxExePath)) addFile( zipFile, joinpath(info.sourcePath, 'resource\\openmsx.ico'), 'share\\icons\\openmsx.ico' ) addFile(zipFile, info.catapultExePath, 'Catapult\\bin\\Catapult.exe') addDirectory(zipFile, joinpath(info.catapultPath, 'doc'), 'Catapult\\doc') addDirectory( zipFile, joinpath(info.catapultPath, 'resources\\bitmaps'), 'Catapult\\resources\\bitmaps' ) addDirectory( zipFile, joinpath(info.catapultBuildPath, 'install\\dialogs'), 'Catapult\\resources\\dialogs' ) addFile( zipFile, joinpath(info.catapultSourcePath, 'catapult.xpm'), 'Catapult\\resources\\icons\\catapult.xpm' ) addFile( zipFile, joinpath(info.catapultPath, 'README'), 'Catapult\\doc\\README' ) zipFile.close() zipFileName = info.packageFileName + '-pdb.zip' zipFilePath = joinpath(info.packagePath, zipFileName) if exists(zipFilePath): os.unlink(zipFilePath) print 'Generating ' + zipFilePath zipFile = ZipFile(zipFilePath, 'w') addFile(zipFile, info.openmsxPdbPath, basename(info.openmsxPdbPath)) addFile(zipFile, info.catapultPdbPath, basename(info.catapultPdbPath)) zipFile.close()
def main(argv):
dest_dir = joinpath(dirname(argv[0]), "..", "3pp")
if not exists(dest_dir):
mkdir(dest_dir)
classpath_file = joinpath(dirname(argv[0]), "..", ".classpath")
for jar in get_3pps(classpath_file):
jar_path = joinpath(dest_dir, jar)
if not exists(jar_path):
url = get_url(jar)
print "Downloading %s" % url
download_file(url, jar_path)
def register_node(cpu_list, mem, node_number):
nodebasedir = joinpath(m5.options.outdir, 'fs', 'sys', 'devices',
'system', 'node')
nodedir = joinpath(nodebasedir,'node%d' % node_number)
makedirs(nodedir)
file_append((nodedir, 'cpumap'), hex_mask(cpu_list))
file_append((nodedir, 'meminfo'),
'Node %d MemTotal: %dkB' % (node_number,
toMemorySize(str(mem))/kibi))
def convolve_cube(self,
target_fwhm,
target_nmoffat=None,
input_function='moffat',
target_function="gaussian",
outcube_name=None,
factor_fwhm=3,
fft=True):
"""Convolve the cube for a target function 'gaussian' or 'moffat'
Args:
target_fwhm (float): target FWHM in arcsecond
target_nmoffat: target n if Moffat function
input_function (str): 'gaussian' or 'moffat' ['moffat']
target_function (str): 'gaussian' or 'moffat' ['gaussian']
factor_fwhm (float): number of FWHM for size of Kernel
fft (bool): use FFT to convolve or not [False]
Creates:
Convolved cube
"""
# Separate folder and name of file
cube_folder, cube_name = os.path.split(self.filename)
# Creating the outcube filename
if outcube_name is None:
outcube_name = "conv{0}_{1:.2f}{2}".format(
target_function.lower()[0], target_fwhm, cube_name)
upipe.print_info("The new cube will be named: {}".format(outcube_name))
# Getting the shape of the Kernel
scale_spaxel = self.get_step(unit_wcs=u.arcsec)[1]
nspaxel = np.int(factor_fwhm * target_fwhm / scale_spaxel)
# Make nspaxel odd to have a PSF centred at the centre of the frame
if nspaxel % 2 == 0: nspaxel += 1
shape = [self.shape[0], nspaxel, nspaxel]
# Computing the kernel
kernel3d = cube_kernel(shape,
self.wave.coord(),
self.psf_fwhm0,
target_fwhm,
input_function,
target_function,
lambda0=self.psf_l0,
input_nmoffat=self.psf_nmoffat,
target_nmoffat=target_nmoffat,
b=self.psf_b,
scale=scale_spaxel,
compute_kernel='pypher')
if fft:
upipe.print_info("Starting the FFT convolution")
conv_cube = self.fftconvolve(other=kernel3d)
else:
upipe.print_info("Starting the convolution")
conv_cube = self.convolve(other=kernel3d)
# Write the output
upipe.print_info("Writing up the derived cube")
conv_cube.write(joinpath(cube_folder, outcube_name))
# just provide the output name by folder+name
return cube_folder, outcube_name
def mask_pixtable(self, mask_name=None, **kwargs):
"""Use the Image Mask and create a new Pixtable
Input
-----
mask_name: str
Name of the mask to be used (FITS file)
use_folder: bool
If True, use the same folder as the Pixtable
Otherwise just write where you stand
suffix_out: str
Suffix for the name of the output Pixtable
If provided, will overwrite the one in self.suffix_out
"""
# Open the PixTable
upipe.print_info("Opening the Pixtable {0}".format(self.pixtable_name))
pixtable = PixTable(self.pixtable_name)
# Use the Image mask and create a pixtable mask
if mask_name is not None:
self.mask_name = mask_name
else:
if not hasattr(self, "mask_name"):
upipe.print_error("Please provide a mask name (FITS file)")
return
upipe.print_info("Creating a column Mask from file {0}".format(
self.mask_name))
mask_col = pixtable.mask_column(self.mask_name)
# extract the right data using the pixtable mask
upipe.print_info("Extracting the Mask")
newpixtable = pixtable.extract_from_mask(mask_col.maskcol)
# Rewrite a new pixtable
self.suffix_out = kwargs.pop("suffix_out", self.suffix_out)
use_folder = kwargs.pop("use_folder", True)
if use_folder:
self.newpixtable_name = joinpath(
self.pixtable_folder, "{0}{1}".format(self.suffix_out,
self.pixtable_name))
else:
self.newpixtable_name = "{0}{1}".format(self.suffix_out,
self.pixtable_name)
upipe.print_info("Writing the new PixTable in {0}".format(
self.newpixtable_name))
newpixtable.write(self.newpixtable_name)
# Now transfer the flat field if it exists
ext_name = 'PIXTABLE_FLAT_FIELD'
try:
# Test if Extension exists by reading header
# If it exists then do nothing
test_data = pyfits.getheader(self.newpixtable_name, ext_name)
upipe.print_warning(
"Flat field extension already exists in masked PixTable - all good"
)
# If it does not exist test if it exists in the original PixTable
except KeyError:
try:
# Read data and header
ff_ext_data = pyfits.getdata(self.pixtable_name, ext_name)
ff_ext_h = pyfits.getheader(self.pixtable_name, ext_name)
upipe.print_warning(
"Flat field extension will be transferred from PixTable")
# Append it to the new pixtable
pyfits.append(self.newpixtable_name, ff_ext_data, ff_ext_h)
except KeyError:
upipe.print_warning(
"No Flat field extension to transfer - all good")
except:
pass
except:
pass
# Patch to fix the extension names of the PixTable
# We have to put a number of extension in lowercase to make sure
# the MUSE recipes understand them
descl = ['xpos', 'ypos', 'lambda', 'data', 'dq', 'stat', 'origin']
for d in descl:
try:
pyfits.setval(self.newpixtable_name,
keyword='EXTNAME',
value=d,
extname=d.upper())
upipe.print_warning(
"Rewriting extension name {0} as lowercase".format(
d.upper()))
except:
upipe.print_warning(
"Extension {0} not present - patch ignored".format(
d.upper()))
get_logger().warning(
"Error while determining build number\n Using command:\n %s \n Output:\n %s"
% (cpe.cmd, cpe.output))
_logger = None
def get_logger():
global _logger
if _logger is None:
from sas.logger_config import SetupLogger
_logger = SetupLogger(__name__).config_development()
return _logger
if __name__ == "__main__":
# Need to add absolute path before actual prepare call,
# so logging can be done during initialization process too
root = abspath(dirname(__file__))
addpath(joinpath(root, 'src'))
get_logger().debug("Starting SASVIEW in debug mode.")
prepare()
from sas.sasview.sasview import run_cli, run_gui
if len(sys.argv) == 1:
run_gui()
else:
run_cli()
get_logger().debug("Ending SASVIEW in debug mode.")
def prepare():
# Don't create *.pyc files
sys.dont_write_bytecode = True
# Debug numpy warnings
#import numpy; numpy.seterr(all='raise')
# find the directories for the source and build
from distutils.util import get_platform
root = abspath(dirname(__file__))
platform = '%s-%s' % (get_platform(), sys.version[:3])
build_path = joinpath(root, 'build', 'lib.' + platform)
# Notify the help menu that the Sphinx documentation is in a different
# place than it otherwise would be.
os.environ['SASVIEW_DOC_PATH'] = joinpath(build_path, "doc")
# Make sure that we have a private version of mplconfig
#mplconfig = joinpath(abspath(dirname(__file__)), '.mplconfig')
#os.environ['MPLCONFIGDIR'] = mplconfig
#if not os.path.exists(mplconfig): os.mkdir(mplconfig)
#import matplotlib
# matplotlib.use('Agg')
# print matplotlib.__file__
#import pylab; pylab.hold(False)
# add periodictable to the path
try:
import periodictable
except:
addpath(joinpath(root, '..', 'periodictable'))
try:
import bumps
except:
addpath(joinpath(root, '..', 'bumps'))
try:
import tinycc
except:
addpath(joinpath(root, '../tinycc/build/lib'))
# select wx version
#addpath(os.path.join(root, '..','wxPython-src-3.0.0.0','wxPython'))
# Build project if the build directory does not already exist.
# PAK: with "update" we can always build since it is fast
if True or not os.path.exists(build_path):
import subprocess
build_cmd = [sys.executable, "setup.py", "build", "update"]
if os.name == 'nt':
build_cmd.append('--compiler=tinycc')
# need shell=True on windows to keep console box from popping up
shell = (os.name == 'nt')
with cd(root):
subprocess.call(build_cmd, shell=shell)
# Put the source trees on the path
addpath(joinpath(root, 'src'))
# sasmodels on the path
addpath(joinpath(root, '../sasmodels/'))
# The sas.models package Compiled Model files should be pulled in from the build directory even though
# the source is stored in src/sas/models.
# Compiled modules need to be pulled from the build directory.
# Some packages are not where they are needed, so load them explicitly.
import sas.sascalc.pr
sas.sascalc.pr.core = import_package(
'sas.sascalc.pr.core',
joinpath(build_path, 'sas', 'sascalc', 'pr', 'core'))
# Compiled modules need to be pulled from the build directory.
# Some packages are not where they are needed, so load them explicitly.
import sas.sascalc.file_converter
sas.sascalc.file_converter.core = import_package(
'sas.sascalc.file_converter.core',
joinpath(build_path, 'sas', 'sascalc', 'file_converter', 'core'))
import sas.sascalc.calculator
sas.sascalc.calculator.core = import_package(
'sas.sascalc.calculator.core',
joinpath(build_path, 'sas', 'sascalc', 'calculator', 'core'))
sys.path.append(build_path)
set_git_tag()
def build_optparser():
# Init command line arguments parser
parser = OptionParser()
sys_options = OptionGroup(parser, "System Configurations")
budget_choices = ('large', 'medium', 'small', 'custom')
sys_options.add_option('--budget', default='large', choices=budget_choices,
help="choose the budget from pre-defined ("
+ ",".join(budget_choices[:-1])
+ "), or 'custom' for customized budget by specifying AREA, POWER, and BANDWIDTH")
sys_options.add_option('--sys-area', type='int', default=400, metavar='AREA',
help='Area budget in mm^2, default: %default. This option will be discarded when budget is NOT custom')
sys_options.add_option('--sys-power', type='int', default=100, metavar='POWER',
help='Power budget in Watts, default: %default. This option will be discarded when budget is NOT custom')
sys_options.add_option('--sys-bw', metavar='BANDWIDTH',
default='45:180,32:198,22:234,16:252',
help='Power budget in Watts, default: {%default}. This option will be discarded when budget is NOT custom')
thru_core_choices = ('IOCore', 'IOCore_TFET')
sys_options.add_option('--thru-core', default='IOCore', choices=thru_core_choices,
help='The core type of throughput cores, options are ('
+ ",".join(thru_core_choices[:-1]) + ")")
parser.add_option_group(sys_options)
app_options = OptionGroup(parser, "Application Configurations")
app_options.add_option('--workload', metavar='FILE',
help='workload configuration file, e.g. workload.xml')
app_options.add_option('--kernels', metavar='FILE',
help='kernels configuration file, e.g. kernels.xml')
parser.add_option_group(app_options)
anal_options = OptionGroup(parser, "Analysis options")
action_choices = ('analysis', 'plot')
anal_options.add_option('-a', '--action', choices=action_choices,
help='choose the running mode, choose from ('
+ ','.join(action_choices)
+ '), or combine actions seperated by ",". default: N/A.')
fmt_choices = ('png', 'pdf', 'eps')
anal_options.add_option('--fmt', default='pdf',
choices=fmt_choices, metavar='FORMAT',
help='choose the format of output, choose from ('
+ ','.join(fmt_choices)
+ '), default: %default')
anal_options.add_option('--series', help='Select series')
anal_options.add_option('--kids', default='3,4,5,6')
parser.add_option_group(anal_options)
llevel_choices = ('info', 'debug', 'error')
parser.add_option('-l', '--logging-level', default='info',
choices=llevel_choices, metavar='LEVEL',
help='Logging level of LEVEL, choose from ('
+ ','.join(llevel_choices)
+ '), default: %default')
default_cfg = joinpath(HOME, 'default.cfg')
parser.add_option('-f', '--config-file', default=default_cfg,
metavar='FILE', help='Use configurations in FILE, default: %default')
parser.add_option('-n', action='store_false', dest='override', default=True,
help='DONOT override command line options with the same one in the configuration file. '
+ 'By default, this option is NOT set, so the configuration file will override command line options.')
return parser
def list_soundfonts():
sfpaths = sorted(glob.glob(joinpath(pxr.sfdir, '**', '*.sf2'),
recursive=True),
key=str.lower)
return [relpath(x, start=pxr.sfdir) for x in sfpaths]
def __init__(self, platform, configuration, catapultPath):
self.platform = platform.lower()
if self.platform == 'win32':
self.cpu = 'x86'
self.platform = 'Win32'
self.win64 = False
elif self.platform == 'x64':
self.cpu = 'x64'
self.platform = 'x64'
self.win64 = True
else:
raise ValueError('Wrong platform: ' + platform)
self.configuration = configuration.lower()
if self.configuration == 'release':
self.configuration = 'Release'
self.catapultConfiguration = 'Unicode Release'
elif self.configuration == 'developer':
self.configuration = 'Developer'
self.catapultConfiguration = 'Unicode Debug'
elif self.configuration == 'debug':
self.configuration = 'Debug'
self.catapultConfiguration = 'Unicode Debug'
else:
raise ValueError('Wrong configuration: ' + configuration)
self.catapultPath = catapultPath
# Useful variables
self.buildFlavor = self.platform + '-VC-' + self.configuration
self.buildPath = joinpath('derived', self.buildFlavor)
self.sourcePath = 'src'
self.codecPath = 'Contrib\\codec\\Win32'
self.packageWindowsPath = 'build\\package-windows'
self.catapultSourcePath = joinpath(self.catapultPath, 'src')
self.catapultBuildFlavor = '%s-VC-%s' % (self.platform,
self.catapultConfiguration)
self.catapultBuildPath = joinpath(
self.catapultPath, joinpath('derived', self.catapultBuildFlavor))
self.catapultExePath = joinpath(self.catapultBuildPath,
'install\\catapult.exe')
self.catapultPdbPath = joinpath(self.catapultBuildPath,
'install\\catapult.pdb')
self.openmsxExePath = joinpath(self.buildPath, 'install\\openmsx.exe')
self.openmsxPdbPath = joinpath(self.buildPath, 'install\\openmsx.pdb')
self.packagePath = joinpath(self.buildPath, 'package-windows')
self.makeInstallPath = joinpath(self.packagePath, 'install')
self.version = packageVersionNumber
if releaseFlag:
self.version += '.0'
else:
self.version += '.%d' % extractRevisionNumber()
# <product>-<version>-<os>-<compiler>-<cpu>-<filetype>.ext
self.os = 'windows'
self.compiler = 'vc'
self.packageFileName = '-'.join(
(getVersionedPackageName(), self.os, self.compiler, self.cpu))
def fixture(name):
return joinpath(dirname(__file__), name)
__date__ = "$Date: 2007-07-06 21:38:45 -0400 (Fri, 06 Jul 2007) $" __author__ = "Ryan Tomayko ([email protected])" __copyright__ = "Copyright 2004-2005, Ryan Tomayko" __license__ = "MIT <http://www.opensource.org/licenses/mit-license.php>" import sys import os import glob from os.path import abspath, basename, dirname, join as joinpath from kid.test.util import dot __all__ = ['dot', 'run_suite', 'template_package', 'output_dir', 'template_dir'] _mydir = abspath(joinpath(dirname(__file__), '..', '..')) template_dir = joinpath(_mydir, 'test') output_dir = template_dir template_package = 'test.' test_modules = [basename(f)[:-3] for f in glob.glob(joinpath(_mydir, 'kid', 'test', 'test*.py'))] additional_tests = 0 basic_tests = 0 def run_suite(args): stop_first = '-x' in args from kid.test.util import run_suite tests = ['kid.test.%s' % m for m in test_modules] run_suite(tests, stop_first)
def __init__(self, *args): RESTEntity.__init__(self, *args) self._schemadir = joinpath(os.getcwd(), "src/sql") self._schema = open(joinpath(self._schemadir, "sitedb.sql")).read()
def findCptDir(options, cptdir, testsys):
"""Figures out the directory from which the checkpointed state is read.
There are two different ways in which the directories holding checkpoints
can be named --
1. cpt.<benchmark name>.<instruction count when the checkpoint was taken>
2. cpt.<some number, usually the tick value when the checkpoint was taken>
This function parses through the options to figure out which one of the
above should be used for selecting the checkpoint, and then figures out
the appropriate directory.
"""
from os.path import isdir, exists
from os import listdir
import re
if not isdir(cptdir):
fatal("checkpoint dir %s does not exist!", cptdir)
cpt_starttick = 0
if options.at_instruction or options.simpoint:
inst = options.checkpoint_restore
if options.simpoint:
# assume workload 0 has the simpoint
if testsys.cpu[0].workload[0].simpoint == 0:
fatal('Unable to find simpoint')
inst += int(testsys.cpu[0].workload[0].simpoint)
checkpoint_dir = joinpath(cptdir, "cpt.%s.%s" % (options.bench, inst))
if not exists(checkpoint_dir):
fatal("Unable to find checkpoint directory %s", checkpoint_dir)
elif options.restore_simpoint_checkpoint:
# Restore from SimPoint checkpoints
# Assumes that the checkpoint dir names are formatted as follows:
dirs = listdir(cptdir)
expr = re.compile('cpt\.simpoint_(\d+)_inst_(\d+)' +
'_weight_([\d\.e\-]+)_interval_(\d+)_warmup_(\d+)')
cpts = []
for dir in dirs:
match = expr.match(dir)
if match:
cpts.append(dir)
cpts.sort()
cpt_num = options.checkpoint_restore
if cpt_num > len(cpts):
fatal('Checkpoint %d not found', cpt_num)
checkpoint_dir = joinpath(cptdir, cpts[cpt_num - 1])
match = expr.match(cpts[cpt_num - 1])
if match:
index = int(match.group(1))
start_inst = int(match.group(2))
weight_inst = float(match.group(3))
interval_length = int(match.group(4))
warmup_length = int(match.group(5))
print "Resuming from", checkpoint_dir
simpoint_start_insts = []
simpoint_start_insts.append(warmup_length)
simpoint_start_insts.append(warmup_length + interval_length)
testsys.cpu[0].simpoint_start_insts = simpoint_start_insts
if testsys.switch_cpus != None:
testsys.switch_cpus[0].simpoint_start_insts = simpoint_start_insts
print "Resuming from SimPoint",
print "#%d, start_inst:%d, weight:%f, interval:%d, warmup:%d" % \
(index, start_inst, weight_inst, interval_length, warmup_length)
else:
dirs = listdir(cptdir)
expr = re.compile('cpt\.([0-9]+)')
cpts = []
for dir in dirs:
match = expr.match(dir)
if match:
cpts.append(match.group(1))
cpts.sort(lambda a, b: cmp(long(a), long(b)))
cpt_num = options.checkpoint_restore
if cpt_num > len(cpts):
fatal('Checkpoint %d not found', cpt_num)
cpt_starttick = int(cpts[cpt_num - 1])
checkpoint_dir = joinpath(cptdir, "cpt.%s" % cpts[cpt_num - 1])
return cpt_starttick, checkpoint_dir
def run(options, root, testsys, cpu_class):
if options.checkpoint_dir:
cptdir = options.checkpoint_dir
elif m5.options.outdir:
cptdir = m5.options.outdir
else:
cptdir = getcwd()
if options.fast_forward and options.checkpoint_restore != None:
fatal("Can't specify both --fast-forward and --checkpoint-restore")
if options.fast_forward_pseudo_inst and options.checkpoint_restore != None:
fatal(
"Can't specify both --fast-forward-pseudo-inst and --checkpoint-restore"
)
if options.standard_switch and not options.caches:
fatal("Must specify --caches when using --standard-switch")
if options.standard_switch and options.repeat_switch:
fatal("Can't specify both --standard-switch and --repeat-switch")
if options.repeat_switch and options.take_checkpoints:
fatal("Can't specify both --repeat-switch and --take-checkpoints")
np = options.num_cpus
switch_cpus = None
if options.prog_interval:
for i in xrange(np):
testsys.cpu[i].progress_interval = options.prog_interval
if options.maxinsts:
for i in xrange(np):
testsys.cpu[i].max_insts_any_thread = options.maxinsts
if cpu_class:
switch_cpus = [
cpu_class(switched_out=True, cpu_id=(i)) for i in xrange(np)
]
# [SafeSpec] configure simualtion scheme
if cpu_class == DerivO3CPU:
#fatal("Ruby can only be used with DerivO3CPU!")
CpuConfig.config_scheme(cpu_class, switch_cpus, options)
else:
warn("restoring from a checkpoint, "
"but not simulate using DerivO3CPU.")
for i in xrange(np):
if options.fast_forward:
testsys.cpu[i].max_insts_any_thread = int(options.fast_forward)
switch_cpus[i].system = testsys
switch_cpus[i].workload = testsys.cpu[i].workload
switch_cpus[i].clk_domain = testsys.cpu[i].clk_domain
switch_cpus[i].progress_interval = \
testsys.cpu[i].progress_interval
switch_cpus[i].isa = testsys.cpu[i].isa
# simulation period
if options.maxinsts:
switch_cpus[i].max_insts_any_thread = options.maxinsts
# Add checker cpu if selected
if options.checker:
switch_cpus[i].addCheckerCpu()
# If elastic tracing is enabled attach the elastic trace probe
# to the switch CPUs
if options.elastic_trace_en:
CpuConfig.config_etrace(cpu_class, switch_cpus, options)
testsys.switch_cpus = switch_cpus
switch_cpu_list = [(testsys.cpu[i], switch_cpus[i])
for i in xrange(np)]
if options.repeat_switch:
switch_class = getCPUClass(options.cpu_type)[0]
if switch_class.require_caches() and \
not options.caches:
print "%s: Must be used with caches" % str(switch_class)
sys.exit(1)
if not switch_class.support_take_over():
print "%s: CPU switching not supported" % str(switch_class)
sys.exit(1)
repeat_switch_cpus = [switch_class(switched_out=True, \
cpu_id=(i)) for i in xrange(np)]
for i in xrange(np):
repeat_switch_cpus[i].system = testsys
repeat_switch_cpus[i].workload = testsys.cpu[i].workload
repeat_switch_cpus[i].clk_domain = testsys.cpu[i].clk_domain
repeat_switch_cpus[i].isa = testsys.cpu[i].isa
if options.maxinsts:
repeat_switch_cpus[i].max_insts_any_thread = options.maxinsts
if options.checker:
repeat_switch_cpus[i].addCheckerCpu()
testsys.repeat_switch_cpus = repeat_switch_cpus
if cpu_class:
repeat_switch_cpu_list = [(switch_cpus[i], repeat_switch_cpus[i])
for i in xrange(np)]
else:
repeat_switch_cpu_list = [(testsys.cpu[i], repeat_switch_cpus[i])
for i in xrange(np)]
if options.standard_switch:
switch_cpus = [
TimingSimpleCPU(switched_out=True, cpu_id=(i)) for i in xrange(np)
]
switch_cpus_1 = [
DerivO3CPU(switched_out=True, cpu_id=(i)) for i in xrange(np)
]
for i in xrange(np):
switch_cpus[i].system = testsys
switch_cpus_1[i].system = testsys
switch_cpus[i].workload = testsys.cpu[i].workload
switch_cpus_1[i].workload = testsys.cpu[i].workload
switch_cpus[i].clk_domain = testsys.cpu[i].clk_domain
switch_cpus_1[i].clk_domain = testsys.cpu[i].clk_domain
switch_cpus[i].isa = testsys.cpu[i].isa
switch_cpus_1[i].isa = testsys.cpu[i].isa
# if restoring, make atomic cpu simulate only a few instructions
if options.checkpoint_restore != None:
testsys.cpu[i].max_insts_any_thread = 1
# Fast forward to specified location if we are not restoring
elif options.fast_forward:
testsys.cpu[i].max_insts_any_thread = int(options.fast_forward)
# Fast forward to a simpoint (warning: time consuming)
elif options.simpoint:
if testsys.cpu[i].workload[0].simpoint == 0:
fatal('simpoint not found')
testsys.cpu[i].max_insts_any_thread = \
testsys.cpu[i].workload[0].simpoint
# No distance specified, just switch
# else:
# testsys.cpu[i].max_insts_any_thread = 1
# warmup period
if options.warmup_insts:
switch_cpus[i].max_insts_any_thread = options.warmup_insts
# simulation period
if options.maxinsts:
switch_cpus_1[i].max_insts_any_thread = options.maxinsts
# attach the checker cpu if selected
if options.checker:
switch_cpus[i].addCheckerCpu()
switch_cpus_1[i].addCheckerCpu()
testsys.switch_cpus = switch_cpus
testsys.switch_cpus_1 = switch_cpus_1
switch_cpu_list = [(testsys.cpu[i], switch_cpus[i])
for i in xrange(np)]
switch_cpu_list1 = [(switch_cpus[i], switch_cpus_1[i])
for i in xrange(np)]
# set the checkpoint in the cpu before m5.instantiate is called
if options.take_checkpoints != None and \
(options.simpoint or options.at_instruction):
offset = int(options.take_checkpoints)
# Set an instruction break point
if options.simpoint:
for i in xrange(np):
if testsys.cpu[i].workload[0].simpoint == 0:
fatal('no simpoint for testsys.cpu[%d].workload[0]', i)
checkpoint_inst = int(
testsys.cpu[i].workload[0].simpoint) + offset
testsys.cpu[i].max_insts_any_thread = checkpoint_inst
# used for output below
options.take_checkpoints = checkpoint_inst
else:
options.take_checkpoints = offset
# Set all test cpus with the right number of instructions
# for the upcoming simulation
for i in xrange(np):
testsys.cpu[i].max_insts_any_thread = offset
if options.take_simpoint_checkpoints != None:
simpoints, interval_length = parseSimpointAnalysisFile(
options, testsys)
checkpoint_dir = None
if options.checkpoint_restore:
cpt_starttick, checkpoint_dir = findCptDir(options, cptdir, testsys)
m5.instantiate(checkpoint_dir)
# Initialization is complete. If we're not in control of simulation
# (that is, if we're a slave simulator acting as a component in another
# 'master' simulator) then we're done here. The other simulator will
# call simulate() directly. --initialize-only is used to indicate this.
if options.initialize_only:
return
# Handle the max tick settings now that tick frequency was resolved
# during system instantiation
# NOTE: the maxtick variable here is in absolute ticks, so it must
# include any simulated ticks before a checkpoint
explicit_maxticks = 0
maxtick_from_abs = m5.MaxTick
maxtick_from_rel = m5.MaxTick
maxtick_from_maxtime = m5.MaxTick
if options.abs_max_tick:
maxtick_from_abs = options.abs_max_tick
explicit_maxticks += 1
if options.rel_max_tick:
maxtick_from_rel = options.rel_max_tick
if options.checkpoint_restore:
# NOTE: this may need to be updated if checkpoints ever store
# the ticks per simulated second
maxtick_from_rel += cpt_starttick
if options.at_instruction or options.simpoint:
warn("Relative max tick specified with --at-instruction or" \
" --simpoint\n These options don't specify the " \
"checkpoint start tick, so assuming\n you mean " \
"absolute max tick")
explicit_maxticks += 1
if options.maxtime:
maxtick_from_maxtime = m5.ticks.fromSeconds(options.maxtime)
explicit_maxticks += 1
if explicit_maxticks > 1:
warn("Specified multiple of --abs-max-tick, --rel-max-tick, --maxtime."\
" Using least")
maxtick = min([maxtick_from_abs, maxtick_from_rel, maxtick_from_maxtime])
if options.checkpoint_restore != None and maxtick < cpt_starttick:
fatal("Bad maxtick (%d) specified: " \
"Checkpoint starts starts from tick: %d", maxtick, cpt_starttick)
if options.standard_switch or cpu_class:
if options.standard_switch:
print "Switch at instruction count:%s" % \
str(testsys.cpu[0].max_insts_any_thread)
exit_event = m5.simulate()
elif cpu_class and options.fast_forward:
print "Switch at instruction count:%s" % \
str(testsys.cpu[0].max_insts_any_thread)
exit_event = m5.simulate()
elif cpu_class and options.fast_forward_pseudo_inst:
print "Switch at beginning of ROI"
exit_event = m5.simulate()
else:
print "Switch at curTick count:%s" % str(10000)
exit_event = m5.simulate(10000)
if options.fast_forward_pseudo_inst:
while exit_event.getCause() != 'switchcpu':
print 'Exiting @ tick %i because %s' % (m5.curTick(),
exit_event.getCause())
exit_event = m5.simulate()
print "Switched CPUS @ tick %s" % (m5.curTick())
m5.switchCpus(testsys, switch_cpu_list)
if options.standard_switch:
print "Switch at instruction count:%d" % \
(testsys.switch_cpus[0].max_insts_any_thread)
#warmup instruction count may have already been set
if options.warmup_insts:
exit_event = m5.simulate()
else:
exit_event = m5.simulate(options.standard_switch)
print "Switching CPUS @ tick %s" % (m5.curTick())
print "Simulation ends instruction count:%d" % \
(testsys.switch_cpus_1[0].max_insts_any_thread)
m5.switchCpus(testsys, switch_cpu_list1)
# If we're taking and restoring checkpoints, use checkpoint_dir
# option only for finding the checkpoints to restore from. This
# lets us test checkpointing by restoring from one set of
# checkpoints, generating a second set, and then comparing them.
if (options.take_checkpoints or options.take_simpoint_checkpoints) \
and options.checkpoint_restore:
if m5.options.outdir:
cptdir = m5.options.outdir
else:
cptdir = getcwd()
if options.take_checkpoints != None:
# Checkpoints being taken via the command line at <when> and at
# subsequent periods of <period>. Checkpoint instructions
# received from the benchmark running are ignored and skipped in
# favor of command line checkpoint instructions.
exit_event = scriptCheckpoints(options, maxtick, cptdir)
# Take SimPoint checkpoints
elif options.take_simpoint_checkpoints != None:
takeSimpointCheckpoints(simpoints, interval_length, cptdir)
# Restore from SimPoint checkpoints
elif options.restore_simpoint_checkpoint != None:
restoreSimpointCheckpoint()
else:
if options.fast_forward or options.fast_forward_pseudo_inst:
m5.stats.reset()
print "**** REAL SIMULATION ****"
# If checkpoints are being taken, then the checkpoint instruction
# will occur in the benchmark code it self.
if options.repeat_switch and maxtick > options.repeat_switch:
exit_event = repeatSwitch(testsys, repeat_switch_cpu_list, maxtick,
options.repeat_switch)
else:
exit_event = benchCheckpoints(options, maxtick, cptdir)
m5.stats.dump()
print 'Exiting @ tick %i because %s' % (m5.curTick(),
exit_event.getCause())
if options.checkpoint_at_end:
m5.checkpoint(joinpath(cptdir, "cpt.%d"))
if not m5.options.interactive:
sys.exit(exit_event.getCode())
exepath = dirname(sys.executable)
path = joinpath(exepath, external_dir)
if exists(joinpath(path, target_file)):
return path
# check in py2app Contents/Resources
path = joinpath(exepath, '..', 'Resources', external_dir)
if exists(joinpath(path, target_file)):
return abspath(path)
raise RuntimeError('Could not find ' + joinpath(external_dir, target_file))
EXTERNAL_DIR = 'sasmodels-data'
DATA_PATH = get_data_path(EXTERNAL_DIR, 'kernel_iq.c')
MODEL_PATH = joinpath(DATA_PATH, 'models')
F16 = np.dtype('float16')
F32 = np.dtype('float32')
F64 = np.dtype('float64')
try: # CRUFT: older numpy does not support float128
F128 = np.dtype('float128')
except TypeError:
F128 = None
# Conversion from units defined in the parameter table for each model
# to units displayed in the sphinx documentation.
# This section associates the unit with the macro to use to produce the LaTex
# code. The macro itself needs to be defined in sasmodels/doc/rst_prolog.
#
# NOTE: there is an RST_PROLOG at the end of this file which is NOT
"""
from os.path import abspath, dirname, relpath
from os.path import join as joinpath
from collections import namedtuple
from cffi import FFI
import six
_DEBUG = False
_COMPILER_ARGS = ['-ggdb'] if _DEBUG else ['-O2']
# pylint: disable=invalid-name
_full_ffi = FFI()
_lite_ffi = FFI()
_pth = abspath(dirname(__file__))
_binding_decls = joinpath(_pth, 'binding_decls.h')
with open(_binding_decls) as bindings:
declrs = bindings.read()
_full_ffi.cdef(declrs)
_lite_ffi.cdef(declrs)
_core_sources = [
relpath(src) for src in [
"cld2/encoding_lut.cc", "cld2/binding.cc", "cld2/internal/cldutil.cc",
"cld2/internal/cldutil_shared.cc", "cld2/internal/compact_lang_det.cc",
"cld2/internal/compact_lang_det_hint_code.cc",
"cld2/internal/compact_lang_det_impl.cc", "cld2/internal/debug.cc",
"cld2/internal/fixunicodevalue.cc",
"cld2/internal/generated_entities.cc",
"cld2/internal/generated_language.cc",
"cld2/internal/generated_ulscript.cc",
project_path = "C:\\Users\\twshe\\Desktop\\mydb\\com-haskell\\testing\\playing-with-row-types"
res = block( "No document"
, assign( "$foreign"
, call( var('import_module')
, "playing_with_row_types.Main.purescript_foreign" ) )
, assign( "ps_getFoo"
, define( None
, ["ps_v"]
, block(ret(get_item(var("ps_v"), "foo"))) ) )
, assign( "ps_main"
, call( call( get_attr(var("$foreign"), "discard")
, call( get_attr(var("$foreign"), "println")
, call( var("ps_getFoo")
, metadata( 15
, 27
, joinpath( project_path
, "src\\Main.purs" )
, record( ( "foo"
, metadata( 15
, 33
, joinpath( project_path
, "src\\Main.purs" )
, 1 ) )
, ( "bar"
, metadata( 15
, 41
, joinpath( project_path
, "src\\Main.purs" )
, "2" ) ) ) ) ) ) )
, define( None
, ["ps_$__unused"]
, block( ret( call( call( get_attr( var( "$foreign" )
def _emptyDirectory(top):
for root, dirs, files in walk(top, topdown=False):
for name in files:
remove(joinpath(root, name))
for name in dirs:
rmdir(joinpath(root, name))
def list_banks():
bpaths = sorted(glob.glob(joinpath(pxr.bankdir, '**', '*.yaml'),
recursive=True),
key=str.lower)
return [relpath(x, start=pxr.bankdir) for x in bpaths]
def get_dftbp_evol(implargs, database, source, model,
datafile='detailed.out', *args, **kwargs):
"""Get the data from DFTB+ SCC calculation for all models.
This is a compound task that augments the source path to include
individual local directories for different cell volumes, based
on the assumption that these directories are named by 3 digits.
Similar assumption applies for the model, where the name
of the base model is augmented by the 3-digit directory number.
parameters:
workroot(string): base directory where model directories are found.
source (string): model directory
model(str): name of the model whose data is updated
datafile (string): optional filename holding the data.
"""
# setup logger
# -------------------------------------------------------------------
logger = implargs.get('logger', LOGGER)
workroot = implargs.get('workroot', '.')
# In order to collect the tags that identify individual directories
# corresponding to a given cell-volume, we must go in the base
# directory, which includes workroot/source
cwd = os.getcwd()
workdir = joinpath(abspath(expanduser(workroot)), source)
os.chdir(workdir)
logger.info('Looking for Energy-vs-Strain data in {:s}'.format(workdir))
# the following should be modifiable by command options
logger.info('Assuming strain directories are named by digits only.')
sccdirs = [dd for dd in os.listdir() if dd.isdigit()]
# These come in a disordered way.
# But it is pivotal that the names are sorted, so that correspondence
# with reference data can be established!
sccdirs.sort()
logger.info('The following SCC directories are found:\n{}'.format(sccdirs))
# make sure we return back
os.chdir(cwd)
# go over individual volume directories and obtain the data
e_tot = []
e_elec = []
strain = []
for straindir in sccdirs:
fin = joinpath(workdir, straindir, datafile)
logger.debug('Reading {:s}'.format(fin))
data = DetailedOut.fromfile(fin)
logger.debug('Done. Data: {}'.format(data))
e_tot.append(data['Etot'])
e_elec.append(data['Eel'])
strain.append(float(straindir) - 100)
# prepare to update database
data = {}
data['totalenergy_volume'] = e_tot
data['elecenergy_volume'] = e_elec
data['strain'] = strain
# report
logger.info('Done.')
logger.info('\ttotalenergy_volume: {}'.format(data['totalenergy_volume']))
logger.info('\telecenergy_volume: {}'.format(data['elecenergy_volume']))
logger.info('\tstrain: {}'.format(data['strain']))
outstr = ['# Total Energy[eV], Electronic Energy[eV], Volume tag']
for total, elec, tag in zip(e_tot, e_elec, sccdirs):
outstr.append('{:12.6g} {:10.6g} {:>10s}'.format(total, elec, tag))
with open(joinpath(workdir, 'energy_volume.dat'), 'w') as fout:
fout.writelines('\n'.join(outstr)+'\n')
try:
# assume model in database
database.get(model).update(data)
except (KeyError, AttributeError):
# model not in database
database.update({model: data})
def main():
parser = argparse.ArgumentParser(description='''
Программа для переноса базы кандидатов из файла Excel в базу
Huntflow с помощью Huntflow API (https://github.com/huntflow/api).
Укажите токен к API Huntflow,
имя директории, в которой находятся файлы резюме,
и имя файла Excel с кандидатами.
''')
parser.add_argument('huntflow_token', help='Токен к API Huntflow')
parser.add_argument('directory', help='Путь к директории, с файлами')
args = parser.parse_args()
'''
Я предполагаю, что структура директорий и файлов остается неизменной
и имеет следующий вид (исходя из условий ТЗ):
Тестовое задание
├── Тестовая база.xlsx
├── README.md
├── Frontend-разработчик
│ ├── Глибин Виталий Николаевич.doc
│ └── Танский Михаил.pdf
└── Менеджер по продажам
├── Корниенко Максим.doc
└── Шорин Андрей.pdf
'''
# Init
FILES_DIR = args.directory
for root, dirs, files in walkpath(FILES_DIR):
for file in files:
if file[-5:] == '.xlsx':
applicants_file = joinpath(FILES_DIR, file)
# API huntflow.ru
huntflow_token = 'Bearer {token}'.format(token=args.huntflow_token)
# Do
vacancies = get_company_vacancies(huntflow_token)
vacancies = vacancies['items']
applicants = get_applicants_from_excel_file(applicants_file)
for applicant in applicants:
resume_file = find_resume_file(
applicant_fullname=applicant['fullname'],
files_dir=FILES_DIR,
)
recognized_resume = upload_resume(
token=huntflow_token,
filename=resume_file,
)
applicant_data = get_applicant_data(
applicant=applicant,
recognized_resume=recognized_resume,
vacancies=vacancies,
)
if applicant['huntflow_upload'] != 'выгружен':
add_applicant(
token=huntflow_token,
applicant_data=applicant_data,
)
last_added = get_applicants(huntflow_token)['items'][0]
applicant['id'] = last_added['id']
result = add_to_vacancy(
token=huntflow_token,
applicant=applicant,
vacancies=vacancies,
recognized_resume=recognized_resume,
applicants_file=applicants_file,
)
'realview64-minor-dual',
'realview64-switcheroo-o3',
'realview64-switcheroo-full',
'realview-simple-timing-ruby',
'realview-simple-timing-dual-ruby',
'realview64-simple-timing-ruby',
'realview64-simple-timing-dual-ruby',
]
tarball = 'aarch-system-2014-10.tar.bz2'
url = "http://gem5.org/dist/current/arm/" + tarball
path = os.path.dirname(os.path.abspath(__file__))
arm_fs_binaries = DownloadedArchive(url, path, tarball)
for name in arm_fs_quick_tests:
args = [ joinpath(config.base_dir, 'tests', 'configs', name + '.py') ]
gem5_verify_config(
name=name,
verifiers=(), # Add basic stat verifiers
config=joinpath(path, 'run.py'),
config_args=args,
valid_isas=(constants.arm_tag,),
length=constants.quick_tag,
fixtures=(arm_fs_binaries,)
)
for name in arm_fs_long_tests:
args = [ joinpath(config.base_dir, 'tests', 'configs', name + '.py') ]
gem5_verify_config(
name=name,
verifiers=(), # TODO: Add basic stat verifiers
else:
joblist.append(job)
if listonly:
if verbose:
for job in joblist:
job.printinfo()
else:
for job in joblist:
print job.name
sys.exit(0)
if not onlyecho:
newlist = []
for job in joblist:
jobdir = JobDir(joinpath(conf.rootdir, job.name))
if jobdir.exists():
if not force:
status = jobdir.getstatus()
if status == 'queued':
continue
if status == 'running':
continue
if status == 'success':
continue
if not clean:
sys.exit('job directory %s not clean!' % jobdir)
def load_model_info(model_string):
# type: (str) -> modelinfo.ModelInfo
"""
Load a model definition given the model name.
*model_string* is the name of the model, or perhaps a model expression
such as sphere*cylinder or sphere+cylinder. Use '@' for a structure
factor product, e.g. sphere@hardsphere. Custom models can be specified by
prefixing the model name with 'custom.', e.g. 'custom.MyModel+sphere'.
This returns a handle to the module defining the model. This can be
used with functions in generate to build the docs or extract model info.
"""
if '@' in model_string:
parts = model_string.split('@')
if len(parts) != 2:
raise ValueError(
"Use P@S to apply a structure factor S to model P")
P_info, Q_info = [load_model_info(part) for part in parts]
return product.make_product_info(P_info, Q_info)
product_parts = []
addition_parts = []
addition_parts_names = model_string.split('+')
if len(addition_parts_names) >= 2:
addition_parts = [
load_model_info(part) for part in addition_parts_names
]
elif len(addition_parts_names) == 1:
product_parts_names = model_string.split('*')
if len(product_parts_names) >= 2:
product_parts = [
load_model_info(part) for part in product_parts_names
]
elif len(product_parts_names) == 1:
if "custom." in product_parts_names[0]:
# Extract ModelName from "custom.ModelName"
pattern = "custom.([A-Za-z0-9_-]+)"
result = re.match(pattern, product_parts_names[0])
if result is None:
raise ValueError("Model name in invalid format: " +
product_parts_names[0])
model_name = result.group(1)
# Use ModelName to find the path to the custom model file
model_path = joinpath(CUSTOM_MODEL_PATH, model_name + ".py")
if not os.path.isfile(model_path):
raise ValueError(
"The model file {} doesn't exist".format(model_path))
kernel_module = custom.load_custom_kernel_module(model_path)
return modelinfo.make_model_info(kernel_module)
# Model is a core model
kernel_module = generate.load_kernel_module(product_parts_names[0])
return modelinfo.make_model_info(kernel_module)
model = None
if len(product_parts) > 1:
model = mixture.make_mixture_info(product_parts, operation='*')
if len(addition_parts) > 1:
if model is not None:
addition_parts.append(model)
model = mixture.make_mixture_info(addition_parts, operation='+')
return model
from . import kerneldll
from . import kernelfut
from . import custom
if os.environ.get("SAS_OPENCL", "").lower() == "none":
HAVE_OPENCL = False
else:
try:
from . import kernelcl
HAVE_OPENCL = True
except Exception:
HAVE_OPENCL = False
CUSTOM_MODEL_PATH = os.environ.get('SAS_MODELPATH', "")
if CUSTOM_MODEL_PATH == "":
path = joinpath(os.path.expanduser("~"), ".sasmodels", "custom_models")
if not os.path.isdir(path):
os.makedirs(path)
CUSTOM_MODEL_PATH = path
try:
from typing import List, Union, Optional, Any
from .kernel import KernelModel
from .modelinfo import ModelInfo
except ImportError:
pass
# TODO: refactor composite model support
# The current load_model_info/build_model does not reuse existing model
# definitions when loading a composite model, instead reloading and
# rebuilding the kernel for each component model in the expression. This
def doSetup():
# Write version file
version_string = version()
version_filename = joinpath(dirname(__file__), "calendarserver",
"version.py")
version_file = file(version_filename, "w")
try:
version_file.write('version = "{0}"\n\n'.format(version_string))
finally:
version_file.close()
dist = setup(
name=project_name,
version=version_string,
description=description,
long_description=long_description,
url=url,
classifiers=classifiers,
author=author,
author_email=author_email,
license=license,
platforms=platforms,
packages=find_packages(),
package_data={
"twistedcaldav": [
"*.html",
"zoneinfo/*.ics",
"zoneinfo/*.txt",
"zoneinfo/*.xml",
"zoneinfo/*/*.ics",
"zoneinfo/*/*/*.ics",
"images/*/*.jpg",
],
"calendarserver.webadmin": ["*.html", "*.xhtml"],
"twistedcaldav.directory": ["*.html"],
"txdav.common.datastore": [
"sql_schema/*.sql",
"sql_schema/*/*.sql",
"sql_schema/*/*/*.sql",
],
},
entry_points=entry_points,
scripts=[
"bin/caldavd",
],
data_files=[
("caldavd", ["conf/caldavd.plist"]),
],
ext_modules=extensions,
py_modules=[],
setup_requires=setup_requirements,
install_requires=install_requirements,
extras_require=extras_requirements,
)
if "install" in dist.commands:
install_obj = dist.command_obj["install"]
if install_obj.root is None:
return
install_scripts = normpath(install_obj.install_scripts)
install_lib = normpath(install_obj.install_lib)
root = normpath(install_obj.root)
base = normpath(install_obj.install_base)
if root:
install_lib = install_lib[len(root):]
for script in dist.scripts:
scriptPath = joinpath(install_scripts, basename(script))
print("Rewriting {0}".format(scriptPath))
script = []
fileType = None
for line in file(scriptPath, "r"):
if not fileType:
if line.startswith("#!"):
if "python" in line.lower():
fileType = "python"
elif "sh" in line.lower():
fileType = "sh"
line = line.rstrip("\n")
if fileType == "sh":
if line == "#PYTHONPATH":
script.append('PYTHONPATH="{add}:$PYTHONPATH"'.format(
add=install_lib))
elif line == "#PATH":
script.append('PATH="{add}:$PATH"'.format(
add=joinpath(base, "usr", "bin")))
else:
script.append(line)
elif fileType == "python":
if line == "#PYTHONPATH":
script.append(
'PYTHONPATH="{path}"'.format(path=install_lib))
elif line == "#PATH":
script.append('PATH="{path}"'.format(
path=joinpath(base, "usr", "bin")))
else:
script.append(line)
else:
script.append(line)
with open(scriptPath, "w") as newScript:
newScript.write("\n".join(script))
from os.path import join as joinpath, realpath, dirname, exists from ctypes import CDLL _dll_path = joinpath(realpath(dirname(__file__)), '_compiled.so') dll = CDLL(_dll_path) if exists(_dll_path) else None
return "{}a1.dev0+{}.{}".format(
base_version,
info["revision"],
info["branch"].replace("/", ".").replace("-", ".").lower(),
)
#
# Options
#
project_name = "CalendarServer"
description = "Calendar and Contacts Server"
long_description = file(joinpath(dirname(__file__), "README.rst")).read()
url = "https://github.com/apple/ccs-calendarserver"
classifiers = [
"Development Status :: 5 - Production/Stable",
"Framework :: Twisted",
"Intended Audience :: Information Technology",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 2 :: Only",
"Topic :: Communications",
"Topic :: Internet :: WWW/HTTP :: HTTP Servers",
"Topic :: Office/Business :: Groupware",
"Topic :: Office/Business :: Scheduling",
def create_reference_cube(self,
lambdamin=4700,
lambdamax=9400,
step=1.25,
outcube_name=None,
filter_for_nan=False,
**kwargs):
"""Create a reference cube using an input one, and overiding
the lambda part, to get a new WCS
Args:
lambdamin:
lambdamax:
step:
outcube_name:
filter_for_nan:
**kwargs:
Returns:
"""
# Separate folder and name of file
cube_folder, cube_name = os.path.split(self.filename)
# Creating the outcube filename
if outcube_name is None:
prefix = kwargs.pop(
"prefix", "l{0:4d}l{1:4d}_".format(np.int(lambdamin),
np.int(lambdamax)))
outcube_name = "{0}{1}".format(prefix, cube_name)
# Range of lambd and number of spectral pixels
range_lambda = lambdamax - lambdamin
npix_spec = np.int(range_lambda // step + 1.0)
# if filter_nan remove the Nan
if filter_for_nan:
ind = np.indices(self.data[0].shape)
selgood = np.any(~np.isnan(self.data), axis=0)
if self._debug:
upipe.print_debug(
"Xmin={0} Xmax={1} / Ymin={2} Ymax={3}".format(
np.min(ind[0][selgood]), np.max(ind[0][selgood]),
np.min(ind[1][selgood]), np.max(ind[1][selgood])))
subcube = self[:,
np.min(ind[0][selgood]):np.max(ind[0][selgood]),
np.min(ind[1][selgood]):np.max(ind[1][selgood])]
else:
subcube = self
# Create the WCS which we need for the output cube
wcs_header = subcube.get_wcs_header()
wcs1 = subcube.wcs
wave1 = WaveCoord(cdelt=step,
crval=lambdamin,
ctype=wcs_header['CTYPE3'],
crpix=1.0,
shape=npix_spec)
# Create a fake dataset with int to be faster
cube_data = np.ones((npix_spec, wcs1.naxis2, wcs1.naxis1),
dtype=np.uint8)
cube = Cube(data=cube_data, wcs=wcs1, wave=wave1)
# Write the output
cube.write(joinpath(cube_folder, outcube_name))
# just provide the output name by folder+name
return cube_folder, outcube_name
def getdata(filename):
return joinpath(ROOT, "sim", filename)
def badpath(path, base):
# joinpath will ignore base if path is absolute
return not realpath(abspath(joinpath(base, path))).startswith(base)
def _find_files(path, patterns):
target = joinpath('tinycc-data', path) if path else 'tinycc-data'
files = []
for pattern in patterns.split(','):
files.extend(glob(joinpath(ROOT, path, pattern)))
return (target, files)
