code stringlengths 26 79.6k | docstring stringlengths 1 46.9k |
|---|---|
def sort_by(items, attr):
def key_func(item):
try:
return getattr(item, attr)
except AttributeError:
try:
return item[attr]
except TypeError:
getattr(item, attr)
return sorted(items, key=key_func) | General sort filter - sorts by either attribute or key. |
def _make_temp_filename(prefix):
temp_location = _get_temp_file_location()
temp_file_name = .join([temp_location, str(prefix)+str(_uuid.uuid4())])
return temp_file_name | Generate a temporary file that would not live beyond the lifetime of
unity_server.
Caller is expected to clean up the temp file as soon as the file is no
longer needed. But temp files created using this method will be cleaned up
when unity_server restarts |
def get_language_tabs(self):
current_language = self.get_current_language()
if self.object:
available_languages = list(self.object.get_available_languages())
else:
available_languages = []
return get_language_tabs(self.request, current_language, available_languages) | Determine the language tabs to show. |
def create(self, properties):
result = self.session.post(self.console.uri + ,
body=properties)
props = copy.deepcopy(properties)
props.update(result)
name = props.get(self._name_prop, None)
uri = props[self._uri_prop]
user_role = UserRole(self, uri, name, props)
self._name_uri_cache.update(name, uri)
return user_role | Create a new (user-defined) User Role in this HMC.
Authorization requirements:
* Task permission to the "Manage User Roles" task.
Parameters:
properties (dict): Initial property values.
Allowable properties are defined in section 'Request body contents'
in section 'Create User Role' in the :term:`HMC API` book.
Returns:
UserRole:
The resource object for the new User Role.
The object will have its 'object-uri' property set as returned by
the HMC, and will also have the input properties set.
Raises:
:exc:`~zhmcclient.HTTPError`
:exc:`~zhmcclient.ParseError`
:exc:`~zhmcclient.AuthError`
:exc:`~zhmcclient.ConnectionError` |
def _maybe_download_corpus(tmp_dir, vocab_type):
if vocab_type == text_problems.VocabType.CHARACTER:
dataset_url = ("https://s3.amazonaws.com/research.metamind.io/wikitext"
"/wikitext-103-raw-v1.zip")
dir_name = "wikitext-103-raw"
else:
dataset_url = ("https://s3.amazonaws.com/research.metamind.io/wikitext"
"/wikitext-103-v1.zip")
dir_name = "wikitext-103"
fname = os.path.basename(dataset_url)
compressed_filepath = generator_utils.maybe_download(tmp_dir, fname,
dataset_url)
zip_ref = zipfile.ZipFile(compressed_filepath, "r")
zip_ref.extractall(tmp_dir)
zip_ref.close()
files = os.path.join(tmp_dir, dir_name, "*")
train_file, valid_file, test_file = None, None, None
for f in tf.gfile.Glob(files):
fname = os.path.basename(f)
if "train" in fname:
train_file = f
elif "valid" in fname:
valid_file = f
elif "test" in fname:
test_file = f
assert train_file, "Training file not found"
assert valid_file, "Validation file not found"
assert test_file, "Testing file not found"
return train_file, valid_file, test_file | Download and unpack the corpus.
Args:
tmp_dir: directory containing dataset.
vocab_type: which vocabulary are we using.
Returns:
The list of names of files. |
def create(self, name):
with contextlib.closing(self.database.cursor()) as cursor:
cursor.execute(, (name,))
return cursor.lastrowid | Create user with provided name and return his id. |
def get_id_count(search_term):
params = {: search_term,
: ,
: }
tree = send_request(pubmed_search, params)
if tree is None:
return None
else:
count = tree.getchildren()[0].text
return int(count) | Get the number of citations in Pubmed for a search query.
Parameters
----------
search_term : str
A term for which the PubMed search should be performed.
Returns
-------
int or None
The number of citations for the query, or None if the query fails. |
def put_manifest(self, manifest):
logger.debug("Putting manifest")
text = json.dumps(manifest, indent=2, sort_keys=True)
key = self.get_manifest_key()
self.put_text(key, text) | Store the manifest. |
def color(self):
return self.tty_stream if self.options.color is None \
else self.options.color | Whether or not color should be output |
def get_filled_structure(self, subgroup=None):
groupgroup
result = []
object_content = model_to_dict(self.object)
if not in dir(self):
self.exclude_fields = []
self.exclude_fields.append("id")
for field in (self.exclude_fields):
if field in object_content.keys():
object_content.pop(field)
verbose_names = {}
for field in object_content.keys():
verbose_names[field] = self.model._meta.get_field(field).verbose_name
gr_object_content = []
if subgroup:
group_array = subgroup
else:
group_array = self.groups
for group in group_array:
item = {}
item["name"] = smart_text(group[0])
item["col"] = group[1]
item_elements = group[2:]
sublist = []
idx = 0
for item_element in item_elements:
if (idx > 1) and (type(item_element) == tuple):
sublist.append(self.get_filled_structure([subgroup]))
else:
filter_field = None
if type(item_element) == list:
field = item_element[0]
if len(item_element) >= 3 and item_element[2]:
verbose_names[field] = _(item_element[2])
if len(item_element) >= 9:
filter_field = item_element[8]
else:
field = item_element
if field not in verbose_names:
if field.startswith() and field.endswith():
label_field = remove_getdisplay(field)
if self.model:
try:
verbose_names[field] = self.model._meta.get_field(label_field).verbose_name
except FieldDoesNotExist:
verbose_names[field] = _(label_field)
else:
verbose_names[field] = _(label_field)
else:
label_field = field
verbose_names[field] = _(label_field)
args = {}
value = None
for field_split in field.split():
if value is None:
try:
verbose_names[field] = self.object._meta.get_field(field_split).verbose_name
except AttributeError:
pass
except FieldDoesNotExist:
pass
value = getattr(self.object, field_split, None)
else:
try:
verbose_names[field] = value._meta.get_field(field_split).verbose_name
except AttributeError:
pass
except FieldDoesNotExist:
pass
value = getattr(value, field_split, None)
if callable(value):
related = (getattr(value, , None) is not None)
if related:
value = ", ".join([str(x) for x in value.all()])
else:
if in value.__code__.co_varnames:
args[] = self.request
value = value(**args)
sublist.append({
"name": _(verbose_names[field]),
"value": value,
"filter": filter_field,
})
gr_object_content.append(field)
idx += 1
item["value"] = sublist
result.append(item)
for field in object_content.keys():
item = {}
if field not in gr_object_content:
item["name"] = _(verbose_names[field])
item["value"] = getattr(self.object, field)
result.append(item)
return result | method in charged of filling an structure containing the object fields
values taking into account the 'group' attribute from the corresponding
form object, which is necesary to fill the details form as it is configured
in the 'group' attribute |
def wait(self):
logging.info("waiting for {} jobs to complete".format(len(self.submissions)))
while not self.shutdown:
time.sleep(1) | Waits for all submitted jobs to complete. |
def register_views(app_name, view_filename, urlpatterns=None):
app_module = __import__(app_name)
view_module = getattr(app_module, view_filename)
views = dir(view_module)
for view_name in views:
if view_name.endswith():
view = getattr(view_module, view_name)
if isinstance(view, object):
if urlpatterns:
urlpatterns += patterns(,
url(r % view_name, view.as_view(), name=view_name),
)
else:
urlpatterns = patterns(,
url(r % view_name, view.as_view(), name=view_name),
)
else:
pass
return urlpatterns | app_name APP名
view_filename views 所在的文件
urlpatterns url中已经存在的urlpatterns
return urlpatterns
只导入View结尾的，是类的视图 |
def name(self) -> str:
h = self._atomic_partition(self._first_arg_sep)[0]
if len(h) == len(self.string):
return h[2:-2]
return h[2:] | Return template's name (includes whitespace). |
def x_upper_limit(self, limit=None):
if limit is None:
if self._x_upper_limit is None:
if self.smallest_x() == self.largest_x():
if int(self.largest_x()) == float(self.largest_x()):
return self.largest_x() + 1
else:
return math.ceil(self.largest_x())
else:
return self.largest_x()
else:
return self._x_upper_limit
else:
if not is_numeric(limit):
raise TypeError(
"upper x limit must be numeric, not " % str(limit)
)
if limit <= self.smallest_x():
raise ValueError(
"upper x limit must be greater than lower limit (%s), not %s" % (
str(self.smallest_x()), str(limit)
)
)
self._x_upper_limit = limit | Returns or sets (if a value is provided) the value at which the
x-axis should end. By default this is the highest x value in the
associated series.
:param limit: If given, the chart's x_upper_limit will be set to this.
:raises ValueError: if you try to make the upper limit smaller than the\
lower limit. |
def beep(self, duration, frequency):
cmd = , [Float(min=0.1, max=5.0), Integer(min=500, max=5000)]
self._write(cmd, duration, frequency) | Generates a beep.
:param duration: The duration in seconds, in the range 0.1 to 5.
:param frequency: The frequency in Hz, in the range 500 to 5000. |
def power_on_vm(name, datacenter=None, service_instance=None):
s name.
name
Name of the virtual machine
datacenter
Datacenter of the virtual machine
service_instance
Service instance (vim.ServiceInstance) of the vCenter.
Default is None.
.. code-block:: bash
salt vsphere.power_on_vm name=my_vm
Powering on virtual machine %snamesummary.runtime.powerStatesummary.runtime.powerStatepoweredOncommentVirtual machine is already powered onchangespower_onobjectoncommentVirtual machine power on action succeededchangespower_on': True}}
return result | Powers on a virtual machine specified by it's name.
name
Name of the virtual machine
datacenter
Datacenter of the virtual machine
service_instance
Service instance (vim.ServiceInstance) of the vCenter.
Default is None.
.. code-block:: bash
salt '*' vsphere.power_on_vm name=my_vm |
def _grabContentFromUrl(self, url):
response = {}
try:
socks.setdefaultproxy(socks.PROXY_TYPE_SOCKS5, self.info["host"], int(self.info["port"]), True)
s = socks.socksocket()
domain = self.getDomainFromUrl(url)
s.connect((domain, 80))
message = + url +
s.sendall(message)
data = ""
while True:
reply = s.recv(4096)
if not reply:
break
else:
data += reply
response = self._createDataStructure(data)
except socks.ProxyConnectionError, sPCE:
errMsg = "ERROR socks.ProxyConnectionError. Something seems to be wrong with the Tor Bundler."
raise Exception( errMsg + " " + str(sPCE))
return response | Function that abstracts capturing a URL. This method rewrites the one from Wrapper.
:param url: The URL to be processed.
:return: The response in a Json format. |
def returnSupportedOptions(self, options):
accepted_options = {}
for option in options:
if option == :
log.debug("Returning these accepted options: %s", accepted_options)
return accepted_options | This method takes a requested options list from a client, and
returns the ones that are supported. |
def geoocoords_to_tile_coords(cls, lon, lat, zoom):
n = 2.0 ** zoom
x = int((lon + 180.0) / 360.0 * n)
y = int((1.0 - math.log(math.tan(math.radians(lat)) + (1 / math.cos(math.radians(lat)))) / math.pi) / 2.0 * n)
return x, y | Calculates the tile numbers corresponding to the specified geocoordinates at the specified zoom level
Coordinates shall be provided in degrees and using the Mercator Projection (http://en.wikipedia.org/wiki/Mercator_projection)
:param lon: longitude
:type lon: int or float
:param lat: latitude
:type lat: int or float
:param zoom: zoom level
:type zoom: int
:return: a tuple (x, y) containing the tile-coordinates |
def _parse_oracle(lines):
config = {}
for line in get_active_lines(lines):
if in line:
line = cleanup.sub(, line)
if in line:
(key, value) = line.split(, 1)
key = key.strip(whitespace + ,"\).lower() for s in value.split()]
else:
value = value.strip(whitespace + ').lower()
config[key] = value
return config | Performs the actual file parsing, returning a dict of the config values
in a given Oracle DB config file.
Despite their differences, the two filetypes are similar enough to
allow idential parsing. |
def _flow_check_handler_internal(self):
integ_flow = self.integ_br_obj.dump_flows_for(
in_port=self.int_peer_port_num)
ext_flow = self.ext_br_obj.dump_flows_for(
in_port=self.phy_peer_port_num)
for net_uuid, lvm in six.iteritems(self.local_vlan_map):
vdp_vlan = lvm.any_consistent_vlan()
flow_required = False
if not (vdp_vlan and ovs_lib.is_valid_vlan_tag(vdp_vlan)):
return
if not self._check_bridge_flow(integ_flow, vdp_vlan, lvm.lvid):
LOG.error("Flow for VDP Vlan %(vdp_vlan)s, Local vlan "
"%(lvid)s not present on Integ bridge",
{: vdp_vlan, : lvm.lvid})
flow_required = True
if not self._check_bridge_flow(ext_flow, lvm.lvid, vdp_vlan):
LOG.error("Flow for VDP Vlan %(vdp_vlan)s, Local vlan "
"%(lvid)s not present on External bridge",
{: vdp_vlan, : lvm.lvid})
flow_required = True
if flow_required:
LOG.info("Programming flows for lvid %(lvid)s vdp vlan"
" %(vdp)s",
{: lvm.lvid, : vdp_vlan})
self.program_vm_ovs_flows(lvm.lvid, 0, vdp_vlan) | Periodic handler to check if installed flows are present.
This handler runs periodically to check if installed flows are present.
This function cannot detect and delete the stale flows, if present.
It requires more complexity to delete stale flows. Generally, stale
flows are not present. So, that logic is not put here. |
def com_google_fonts_check_metadata_italic_style(ttFont, font_metadata):
from fontbakery.utils import get_name_entry_strings
from fontbakery.constants import MacStyle
if font_metadata.style != "italic":
yield SKIP, "This check only applies to italic fonts."
else:
font_fullname = get_name_entry_strings(ttFont, NameID.FULL_FONT_NAME)
if len(font_fullname) == 0:
yield SKIP, "Font lacks fullname entries in name table."
else:
font_fullname = font_fullname[0]
if not bool(ttFont["head"].macStyle & MacStyle.ITALIC):
yield FAIL, Message("bad-macstyle",
"METADATA.pb style has been set to italic"
" but font macStyle is improperly set.")
elif not font_fullname.split("-")[-1].endswith("Italic"):
yield FAIL, Message("bad-fullfont-name",
("Font macStyle Italic bit is set"
" but nameID {} (\"{}\") is not ended with"
" \"Italic\"").format(NameID.FULL_FONT_NAME,
font_fullname))
else:
yield PASS, ("OK: METADATA.pb font.style \"italic\""
" matches font internals.") | METADATA.pb font.style "italic" matches font internals? |
def cli(obj):
client = obj[]
timezone = obj[]
screen = Screen(client, timezone)
screen.run() | Display alerts like unix "top" command. |
def gateway(self):
url =
response = requests.get(url, headers=self._headers())
response.raise_for_status()
return response.json() | Return the detail of the gateway. |
def em_schedule(**kwargs):
mdrunner = kwargs.pop(, None)
integrators = kwargs.pop(, [, ])
kwargs.pop(, None)
nsteps = kwargs.pop(, [100, 1000])
outputs = [.format(i, integrator) for i,integrator in enumerate(integrators)]
outputs[-1] = kwargs.pop(, )
files = {: kwargs.pop(, None)}
for i, integrator in enumerate(integrators):
struct = files[]
logger.info("[em %d] energy minimize with %s for maximum %d steps", i, integrator, nsteps[i])
kwargs.update({:struct, :outputs[i],
:integrator, : nsteps[i]})
if not integrator == :
kwargs[] = mdrunner
else:
kwargs[] = None
logger.warning("[em %d] Not using mdrunner for L-BFGS because it cannot "
"do parallel runs.", i)
files = energy_minimize(**kwargs)
return files | Run multiple energy minimizations one after each other.
:Keywords:
*integrators*
list of integrators (from 'l-bfgs', 'cg', 'steep')
[['bfgs', 'steep']]
*nsteps*
list of maximum number of steps; one for each integrator in
in the *integrators* list [[100,1000]]
*kwargs*
mostly passed to :func:`gromacs.setup.energy_minimize`
:Returns: dictionary with paths to final structure ('struct') and
other files
:Example:
Conduct three minimizations:
1. low memory Broyden-Goldfarb-Fletcher-Shannon (BFGS) for 30 steps
2. steepest descent for 200 steps
3. finish with BFGS for another 30 steps
We also do a multi-processor minimization when possible (i.e. for steep
(and conjugate gradient) by using a :class:`gromacs.run.MDrunner` class
for a :program:`mdrun` executable compiled for OpenMP in 64 bit (see
:mod:`gromacs.run` for details)::
import gromacs.run
gromacs.setup.em_schedule(struct='solvate/ionized.gro',
mdrunner=gromacs.run.MDrunnerOpenMP64,
integrators=['l-bfgs', 'steep', 'l-bfgs'],
nsteps=[50,200, 50])
.. Note:: You might have to prepare the mdp file carefully because at the
moment one can only modify the *nsteps* parameter on a
per-minimizer basis. |
def toupper(self):
return H2OFrame._expr(expr=ExprNode("toupper", self), cache=self._ex._cache) | Translate characters from lower to upper case for a particular column.
:returns: new H2OFrame with all strings in the current frame converted to the uppercase. |
def cache_data(self, request, data, key=):
request.session[ % (constants.SESSION_KEY, key)] = data | Cache data in the session store.
:param request: :attr:`django.http.HttpRequest`
:param data: Arbitrary data to store.
:param key: `str` The key under which to store the data. |
def mark_offer_as_lose(self, offer_id):
return self._create_put_request(
resource=OFFERS,
billomat_id=offer_id,
command=LOSE,
) | Mark offer as lose
:param offer_id: the offer id
:return Response |
def _reshape_by_device_single(x, num_devices):
x_shape = list(x.shape)
batch_size = x_shape[0]
batch_size_per_device = batch_size // num_devices
if batch_size_per_device * num_devices != batch_size:
logging.fatal(
"We require that num_devices[%d] divides batch_size[%d] evenly.",
num_devices, batch_size)
new_shape_prefix = [num_devices, batch_size_per_device]
return np.reshape(x, new_shape_prefix + x_shape[1:]) | Reshape x into a shape [num_devices, ...]. |
def E(poly, dist=None, **kws):
if not isinstance(poly, (distributions.Dist, polynomials.Poly)):
print(type(poly))
print("Approximating expected value...")
out = quadrature.quad(poly, dist, veceval=True, **kws)
print("done")
return out
if isinstance(poly, distributions.Dist):
dist, poly = poly, polynomials.variable(len(poly))
if not poly.keys:
return numpy.zeros(poly.shape, dtype=int)
if isinstance(poly, (list, tuple, numpy.ndarray)):
return [E(_, dist, **kws) for _ in poly]
if poly.dim < len(dist):
poly = polynomials.setdim(poly, len(dist))
shape = poly.shape
poly = polynomials.flatten(poly)
keys = poly.keys
mom = dist.mom(numpy.array(keys).T, **kws)
A = poly.A
if len(dist) == 1:
mom = mom[0]
out = numpy.zeros(poly.shape)
for i in range(len(keys)):
out += A[keys[i]]*mom[i]
out = numpy.reshape(out, shape)
return out | Expected value operator.
1st order statistics of a probability distribution or polynomial on a given
probability space.
Args:
poly (Poly, Dist):
Input to take expected value on.
dist (Dist):
Defines the space the expected value is taken on. It is ignored if
``poly`` is a distribution.
Returns:
(numpy.ndarray):
The expected value of the polynomial or distribution, where
``expected.shape == poly.shape``.
Examples:
>>> dist = chaospy.J(chaospy.Gamma(1, 1), chaospy.Normal(0, 2))
>>> print(chaospy.E(dist))
[1. 0.]
>>> x, y = chaospy.variable(2)
>>> poly = chaospy.Poly([1, x, y, 10*x*y])
>>> print(chaospy.E(poly, dist))
[1. 1. 0. 0.] |
def ask_pascal_16(self, next_rva_ptr):
length = self.__get_pascal_16_length()
if length == (next_rva_ptr - (self.rva_ptr+2)) / 2:
self.length = length
return True
return False | The next RVA is taken to be the one immediately following this one.
Such RVA could indicate the natural end of the string and will be checked
with the possible length contained in the first word. |
def _handle_result_line(self, sline):
as_kw = sline[3]
a_result = str(sline[5].split()[0])
self._cur_values[as_kw] = {
: ,
: a_result
}
return 0 | Parses the data line and adds to the dictionary.
:param sline: a split data line to parse
:returns: the number of rows to jump and parse the next data line or
return the code error -1 |
async def freedomscores(self, root):
elem = root.find()
result = OrderedDict()
result[] = int(elem.find().text)
result[] = int(elem.find().text)
result[] = int(elem.find().text)
return result | Nation's `Freedoms`: three basic indicators of the nation's
Civil Rights, Economy, and Political Freedom, as percentages.
Returns
-------
an :class:`ApiQuery` of :class:`collections.OrderedDict` with \
keys of str and values of int
Keys being, in order: ``Civil Rights``, ``Economy``, and
``Political Freedom``. |
def get_events(self, service_location_id, appliance_id, start, end,
max_number=None):
start = self._to_milliseconds(start)
end = self._to_milliseconds(end)
url = urljoin(URLS[], service_location_id, "events")
headers = {"Authorization": "Bearer {}".format(self.access_token)}
params = {
"from": start,
"to": end,
"applianceId": appliance_id,
"maxNumber": max_number
}
r = requests.get(url, headers=headers, params=params)
r.raise_for_status()
return r.json() | Request events for a given appliance
Parameters
----------
service_location_id : int
appliance_id : int
start : int | dt.datetime | pd.Timestamp
end : int | dt.datetime | pd.Timestamp
start and end support epoch (in milliseconds),
datetime and Pandas Timestamp
timezone-naive datetimes are assumed to be in UTC
max_number : int, optional
The maximum number of events that should be returned by this query
Default returns all events in the selected period
Returns
-------
dict |
def scaffold(args):
from jcvi.formats.base import FileMerger
from jcvi.formats.bed import mates
from jcvi.formats.contig import frombed
from jcvi.formats.fasta import join
from jcvi.utils.iter import grouper
p = OptionParser(scaffold.__doc__)
p.set_rclip(rclip=1)
p.add_option("--conf", help="BAMBUS configuration file [default: %default]")
p.add_option("--prefix", default=False, action="store_true",
help="Only keep links between IDs with same prefix [default: %default]")
opts, args = p.parse_args(args)
nargs = len(args)
if nargs < 3 or nargs % 2 != 1:
sys.exit(not p.print_help())
rclip = opts.rclip
ctgfasta = args[0]
duos = list(grouper(args[1:], 2))
trios = []
for fastafile, bedfile in duos:
prefix = bedfile.rsplit(".", 1)[0]
matefile = prefix + ".mates"
matebedfile = matefile + ".bed"
if need_update(bedfile, [matefile, matebedfile]):
matesopt = [bedfile, "--lib", "--nointra",
"--rclip={0}".format(rclip),
"--cutoff={0}".format(opts.cutoff)]
if opts.prefix:
matesopt += ["--prefix"]
matefile, matebedfile = mates(matesopt)
trios.append((fastafile, matebedfile, matefile))
bbfasta, bbbed, bbmate = "bambus.reads.fasta", "bambus.bed", "bambus.mates"
for files, outfile in zip(zip(*trios), (bbfasta, bbbed, bbmate)):
FileMerger(files, outfile=outfile).merge(checkexists=True)
ctgfile = "bambus.contig"
idsfile = "bambus.ids"
frombedInputs = [bbbed, ctgfasta, bbfasta]
if need_update(frombedInputs, ctgfile):
frombed(frombedInputs)
inputfasta = "bambus.contigs.fasta"
singletonfasta = "bambus.singletons.fasta"
cmd = "faSomeRecords {0} {1} ".format(ctgfasta, idsfile)
sh(cmd + inputfasta)
sh(cmd + singletonfasta + " -exclude")
prefix = "bambus"
cmd = "goBambus -c {0} -m {1} -o {2}".format(ctgfile, bbmate, prefix)
if opts.conf:
cmd += " -C {0}".format(opts.conf)
sh(cmd)
cmd = "untangle -e {0}.evidence.xml -s {0}.out.xml -o {0}.untangle.xml".\
format(prefix)
sh(cmd)
final = "final"
cmd = "printScaff -e {0}.evidence.xml -s {0}.untangle.xml -l {0}.lib " \
"-merge -detail -oo -sum -o {1}".format(prefix, final)
sh(cmd)
oofile = final + ".oo"
join([inputfasta, "--oo={0}".format(oofile)]) | %prog scaffold ctgfasta reads1.fasta mapping1.bed
reads2.fasta mapping2.bed ...
Run BAMBUS on set of contigs, reads and read mappings. |
def gen_xml_doc(self):
res = self.make_doc()
var_tag =
text_tag =
keys = res.keys()
keys.sort()
texts = ""
vars = ""
for key in keys:
value = res[key]
vars += var_tag % (value, key)
texts += text_tag % (key, value)
return CONTENT_TMPL % (vars, texts) | Generate the text tags that should be inserted in the content.xml of a
full model |
def find_ss_regions(dssp_residues, loop_assignments=(, , , )):
loops = loop_assignments
previous_ele = None
fragment = []
fragments = []
for ele in dssp_residues:
if previous_ele is None:
fragment.append(ele)
elif ele[2] != previous_ele[2]:
fragments.append(fragment)
fragment = [ele]
elif previous_ele[1] in loops:
if ele[1] in loops:
fragment.append(ele)
else:
fragments.append(fragment)
fragment = [ele]
else:
if ele[1] == previous_ele[1]:
fragment.append(ele)
else:
fragments.append(fragment)
fragment = [ele]
previous_ele = ele
fragments.append(fragment)
return fragments | Separates parsed DSSP data into groups of secondary structure.
Notes
-----
Example: all residues in a single helix/loop/strand will be gathered
into a list, then the next secondary structure element will be
gathered into a separate list, and so on.
Parameters
----------
dssp_residues : [tuple]
Each internal list contains:
[0] int Residue number
[1] str Secondary structure type
[2] str Chain identifier
[3] str Residue type
[4] float Phi torsion angle
[5] float Psi torsion angle
[6] int dssp solvent accessibility
Returns
-------
fragments : [[list]]
Lists grouped in continuous regions of secondary structure.
Innermost list has the same format as above. |
def expand_path_cfg(path_cfg, alias_dict={ }, overriding_kargs={ }):
if isinstance(path_cfg, str):
return _expand_str(path_cfg, alias_dict, overriding_kargs)
if isinstance(path_cfg, dict):
return _expand_dict(path_cfg, alias_dict)
return _expand_tuple(path_cfg, alias_dict, overriding_kargs) | expand a path config
Args:
path_cfg (str, tuple, dict): a config for path
alias_dict (dict): a dict for aliases
overriding_kargs (dict): to be used for recursive call |
def upload_headimg(self, account, media_file):
return self._post(
,
params={
: account
},
files={
: media_file
}
) | 上传客服账号头像
详情请参考
http://mp.weixin.qq.com/wiki/1/70a29afed17f56d537c833f89be979c9.html
:param account: 完整客服账号
:param media_file: 要上传的头像文件，一个 File-Object
:return: 返回的 JSON 数据包 |
def transferCoincidences(network, fromElementName, toElementName):
coincidenceHandle = getLockedHandle(
runtimeElement=network.getElement(fromElementName),
expression="self._cd._W"
)
network.getElement(toElementName).setParameter("coincidencesAbove",
coincidenceHandle) | Gets the coincidence matrix from one element and sets it on
another element
(using locked handles, a la nupic.bindings.research.lockHandle).
TODO: Generalize to more node types, parameter name pairs, etc.
Does not work across processes. |
def add_component(self, entity, component):
component_type = type(component)
relation = self._get_relation(component_type)
if entity in relation:
msg = "Component {0} can't be added to entity {1} since it already has a component of type {2}.".format(component, entity, component_type)
raise DuplicateComponentError(msg)
relation[entity] = component
self._entities_with(component_type).add(entity) | Add component to entity.
Long-hand for :func:`essence.Entity.add`.
:param entity: entity to associate
:type entity: :class:`essence.Entity`
:param component: component to add to the entity
:type component: :class:`essence.Component` |
def calculate_size(name, include_value, local_only):
data_size = 0
data_size += calculate_size_str(name)
data_size += BOOLEAN_SIZE_IN_BYTES
data_size += BOOLEAN_SIZE_IN_BYTES
return data_size | Calculates the request payload size |
def _get_plot_data(self):
_marker_type = self.settings.get(, )
if self.x_col == self._idxname:
x_data = self._idx
else:
x_data = self.tab[self.x_col].data
if self.y_col == self._idxname:
y_data = self._idx
else:
y_data = self.tab[self.y_col].data
if self.tab.masked:
if self.x_col == self._idxname:
x_mask = np.ones_like(self._idx, dtype=np.bool)
else:
x_mask = ~self.tab[self.x_col].mask
if self.y_col == self._idxname:
y_mask = np.ones_like(self._idx, dtype=np.bool)
else:
y_mask = ~self.tab[self.y_col].mask
mask = x_mask & y_mask
x_data = x_data[mask]
y_data = y_data[mask]
if len(x_data) > 1:
i = np.argsort(x_data)
x_data = x_data[i]
y_data = y_data[i]
if not self.w.show_marker.get_state():
_marker_type = None
return x_data, y_data, _marker_type | Extract only good data point for plotting. |
def file_saved_in_other_editorstack(self, original_filename, filename):
index = self.has_filename(original_filename)
if index is None:
return
finfo = self.data[index]
finfo.newly_created = False
finfo.filename = to_text_string(filename)
finfo.lastmodified = QFileInfo(finfo.filename).lastModified() | File was just saved in another editorstack, let's synchronize!
This avoids file being automatically reloaded.
The original filename is passed instead of an index in case the tabs
on the editor stacks were moved and are now in a different order - see
issue 5703.
Filename is passed in case file was just saved as another name. |
def parse_pv(header):
order_fit = parse_order_fit(header)
def parse_with_base(i):
key_base = "PV%d_" % i
pvi_x = [header[key_base + "0"]]
def parse_range(lower, upper):
for j in range(lower, upper + 1):
pvi_x.append(header[key_base + str(j)])
if order_fit >= 1:
parse_range(1, 3)
if order_fit >= 2:
parse_range(4, 6)
if order_fit >= 3:
parse_range(7, 10)
return pvi_x
return [parse_with_base(1), parse_with_base(2)] | Parses the PV array from an astropy FITS header.
Args:
header: astropy.io.fits.header.Header
The header containing the PV values.
Returns:
cd: 2d array (list(list(float))
[[PV1_0, PV1_1, ... PV1_N], [PV2_0, PV2_1, ... PV2_N]]
Note that N depends on the order of the fit. For example, an
order 3 fit goes up to PV?_10. |
def handle_url(url, session, res):
print("Parsing", url, file=sys.stderr)
try:
data = getPageContent(url, session)
except IOError as msg:
print("ERROR:", msg, file=sys.stderr)
return
for match in url_matcher.finditer(data):
url = match.group(1) +
name = unescape(match.group(2))
name = asciify(name.replace(, ).replace(, ))
name = capfirst(name)
if name in exclude_comics:
continue
if contains_case_insensitive(res, name):
print("INFO: skipping possible duplicate", repr(name), file=sys.stderr)
continue
end = match.end()
mo = num_matcher.search(data[end:])
if not mo:
print("ERROR:", repr(data[end:end+300]), file=sys.stderr)
continue
num = int(mo.group(1))
url = url_overrides.get(name, url)
try:
if "/d/" not in url:
check_robotstxt(url+"d/", session)
else:
check_robotstxt(url, session)
except IOError:
print("INFO: robots.txt denied for comicgenesis", repr(name))
continue
else:
res[name] = (url, num) | Parse one search result page. |
def dumps(self, fd, **kwargs):
if 0 <= fd <= 2:
data = [self.stdin, self.stdout, self.stderr][fd].concretize(**kwargs)
if type(data) is list:
data = b.join(data)
return data
return self.get_fd(fd).concretize(**kwargs) | Returns the concrete content for a file descriptor.
BACKWARD COMPATIBILITY: if you ask for file descriptors 0 1 or 2, it will return the data from stdin, stdout,
or stderr as a flat string.
:param fd: A file descriptor.
:return: The concrete content.
:rtype: str |
def calc_qt_v1(self):
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
flu.qt = max(flu.outuh-con.abstr, 0.) | Calculate the total discharge after possible abstractions.
Required control parameter:
|Abstr|
Required flux sequence:
|OutUH|
Calculated flux sequence:
|QT|
Basic equation:
:math:`QT = max(OutUH - Abstr, 0)`
Examples:
Trying to abstract less then available, as much as available and
less then available results in:
>>> from hydpy.models.hland import *
>>> parameterstep('1d')
>>> simulationstep('12h')
>>> abstr(2.0)
>>> fluxes.outuh = 2.0
>>> model.calc_qt_v1()
>>> fluxes.qt
qt(1.0)
>>> fluxes.outuh = 1.0
>>> model.calc_qt_v1()
>>> fluxes.qt
qt(0.0)
>>> fluxes.outuh = 0.5
>>> model.calc_qt_v1()
>>> fluxes.qt
qt(0.0)
Note that "negative abstractions" are allowed:
>>> abstr(-2.0)
>>> fluxes.outuh = 1.0
>>> model.calc_qt_v1()
>>> fluxes.qt
qt(2.0) |
def _make_index(self):
out = {}
for layer in self._layers:
cls = layer.__class__
out[cls] = out.get(cls, []) + [layer]
return out | Perform the index computation. It groups layers by type into a
dictionary, to allow quick access. |
def collect_basic_info():
s = sys.version_info
_collect(json.dumps({:tuple(s)}))
_collect(sys.version)
return sys.version | collect basic info about the system, os, python version... |
def abort(self, exception=exc.ConnectError):
log.warn("Aborting connection to %s:%s", self.host, self.port)
def abort_pending(f):
exc_info = sys.exc_info()
if any(exc_info):
f.set_exc_info(exc_info)
else:
f.set_exception(exception(self.host, self.port))
for pending in self.drain_all_pending():
abort_pending(pending) | Aborts a connection and puts all pending futures into an error state.
If ``sys.exc_info()`` is set (i.e. this is being called in an exception
handler) then pending futures will have that exc info set. Otherwise
the given ``exception`` parameter is used (defaults to
``ConnectError``). |
def _hash_filter_fn(self, filter_fn, **kwargs):
filter_fn_name = self._get_function_name(filter_fn, default="filter-none")
logger.debug("Computing hash for filter_fn: {} with kwargs {}".format(filter_fn_name, str(dict(**kwargs))))
fn_source = str(dill.source.getsource(filter_fn))
pickled_fn_source = pickle.dumps(fn_source)
hashed_fn_source = int(hashlib.sha1(pickled_fn_source).hexdigest(), 16) % (10 ** 11)
kw_dict = dict(**kwargs)
kw_hash = list()
if not kw_dict:
kw_hash = ["default"]
else:
[kw_hash.append("{}-{}".format(key, h)) for (key, h) in sorted(kw_dict.items())]
closure = []
nonlocals = inspect.getclosurevars(filter_fn).nonlocals
for (key, val) in nonlocals.items():
if inspect.isfunction(val):
closure.append(self._hash_filter_fn(val))
closure.sort()
closure_str = "null" if len(closure) == 0 else "-".join(closure)
hashed_fn = ".".join(["-".join([filter_fn_name,
str(hashed_fn_source)]),
".".join(kw_hash),
closure_str]
)
return hashed_fn | Construct string representing state of filter_fn
Used to cache filtered variants or effects uniquely depending on filter fn values |
def _format_message(value, line_length, indent="", first_indent=None):
if indent.find():
indent = indent.replace(, )
result = []
if first_indent is None:
first_indent = indent
cindent = first_indent
tmp = "*" * line_length
for ele in value.split():
if ele.find() >= 0:
ele = ele.replace(, )
if (len(ele) + len(tmp)) >= line_length:
result.append(tmp)
tmp = .format(cindent, ele)
cindent = indent
else:
tmp = "{0} {1}".format(tmp, ele)
result.append(tmp)
result = result[1:]
return "\n".join(result) | Return a string with newlines so that the given string fits into this
line length. At the start of the line the indent is added. This can
be used for commenting the message out within a file or to indent your
text.
All \\t will be replaced with 4 spaces.
@param value: The string to get as a commented multiline comment.
@param line_length: The length of the line to fill.
@param indent: The indent to use for printing or charcter to put in
front
@param first_indent: The first indent might be shorter. If None then
the first line uses the normal indent as the rest of the
string.
@return: The string with newlines |
def get(self, path, default=_NoDefault, as_type=None, resolve_references=True):
value = self._source
steps_taken = []
try:
for step in path.split(self._separator):
steps_taken.append(step)
value = value[step]
if as_type:
return as_type(value)
elif isinstance(value, Mapping):
namespace = type(self)(separator=self._separator, missing=self._missing)
namespace._source = value
namespace._root = self._root
return namespace
elif resolve_references and isinstance(value, str):
return self._resolve(value)
else:
return value
except ConfiguredReferenceError:
raise
except KeyError as e:
if default is not _NoDefault:
return default
else:
missing_key = self._separator.join(steps_taken)
raise NotConfiguredError(.format(missing_key), key=missing_key) from e | Gets a value for the specified path.
:param path: the configuration key to fetch a value for, steps
separated by the separator supplied to the constructor (default
``.``)
:param default: a value to return if no value is found for the
supplied path (``None`` is allowed)
:param as_type: an optional callable to apply to the value found for
the supplied path (possibly raising exceptions of its own if the
value can not be coerced to the expected type)
:param resolve_references: whether to resolve references in values
:return: the value associated with the supplied configuration key, if
available, or a supplied default value if the key was not found
:raises ConfigurationError: when no value was found for *path* and
*default* was not provided or a reference could not be resolved |
def _from_binary_ace_header(cls, binary_stream):
type, control_flags, size = cls._REPR.unpack(binary_stream)
nw_obj = cls((ACEType(type), ACEControlFlags(control_flags), size))
_MOD_LOGGER.debug("Attempted to unpack ACE Header from \"%s\"\nResult: %s", binary_stream.tobytes(), nw_obj)
return nw_obj | See base class. |
def phrase_pinyin(phrase, style, heteronym, errors=, strict=True):
py = []
if phrase in PHRASES_DICT:
py = deepcopy(PHRASES_DICT[phrase])
for idx, item in enumerate(py):
if heteronym:
py[idx] = _remove_dup_items([
_to_fixed(x, style=style, strict=strict) for x in item])
else:
py[idx] = [_to_fixed(item[0], style=style, strict=strict)]
else:
for i in phrase:
single = single_pinyin(i, style=style, heteronym=heteronym,
errors=errors, strict=strict)
if single:
py.extend(single)
return py | 词语拼音转换.
:param phrase: 词语
:param errors: 指定如何处理没有拼音的字符
:param strict: 是否严格遵照《汉语拼音方案》来处理声母和韵母
:return: 拼音列表
:rtype: list |
def maybe_infer_dtype_type(element):
tipo = None
if hasattr(element, ):
tipo = element.dtype
elif is_list_like(element):
element = np.asarray(element)
tipo = element.dtype
return tipo | Try to infer an object's dtype, for use in arithmetic ops
Uses `element.dtype` if that's available.
Objects implementing the iterator protocol are cast to a NumPy array,
and from there the array's type is used.
Parameters
----------
element : object
Possibly has a `.dtype` attribute, and possibly the iterator
protocol.
Returns
-------
tipo : type
Examples
--------
>>> from collections import namedtuple
>>> Foo = namedtuple("Foo", "dtype")
>>> maybe_infer_dtype_type(Foo(np.dtype("i8")))
numpy.int64 |
def add_ylabel(self, text=None):
y = self.fit.meta[]
if not text:
text = + y[] + r + y[] + r
self.plt.set_ylabel(text) | Add a label to the y-axis. |
def publish_tcp(self, topic, data, **kwargs):
return self.__tcp_client.publish(topic, data, **kwargs) | Use :meth:`NsqdTCPClient.publish` instead.
.. deprecated:: 1.0.0 |
def connect(self, host=None, port=None, connect=False, **kwargs):
try:
self.__connection = MongoClient(host=host, port=port, connect=connect, **kwargs)
except (AutoReconnect, ConnectionFailure, ServerSelectionTimeoutError):
raise DatabaseIsDownError("No mongod process is running.") | Explicitly creates the MongoClient; this method must be used
in order to specify a non-default host or port to the MongoClient.
Takes arguments identical to MongoClient.__init__ |
def get_types_by_attr(resource, template_id=None):
resource_type_templates = []
attr_ids = []
for res_attr in resource.attributes:
attr_ids.append(res_attr.attr_id)
all_resource_attr_ids = set(attr_ids)
all_types = db.DBSession.query(TemplateType).options(joinedload_all()).filter(TemplateType.resource_type==resource.ref_key)
if template_id is not None:
all_types = all_types.filter(TemplateType.template_id==template_id)
all_types = all_types.all()
for ttype in all_types:
type_attr_ids = []
for typeattr in ttype.typeattrs:
type_attr_ids.append(typeattr.attr_id)
if set(type_attr_ids).issubset(all_resource_attr_ids):
resource_type_templates.append(ttype)
return resource_type_templates | Using the attributes of the resource, get all the
types that this resource matches.
@returns a dictionary, keyed on the template name, with the
value being the list of type names which match the resources
attributes. |
def street_name(self):
pattern = self.random_element(self.street_name_formats)
return self.generator.parse(pattern) | :example 'Crist Parks' |
def isValid(cntxt: Context, m: FixedShapeMap) -> Tuple[bool, List[str]]:
if not cntxt.is_valid:
return False, cntxt.error_list
parse_nodes = []
for nodeshapepair in m:
n = nodeshapepair.nodeSelector
if not isinstance_(n, Node):
return False, [f"{n}: Triple patterns are not implemented"]
elif not (next(cntxt.graph.predicate_objects(nodeshapepair.nodeSelector), None) or
next(cntxt.graph.subject_predicates(nodeshapepair.nodeSelector), None) or
not next(cntxt.graph.triples((None, None, None)), None)):
return False, [f"Focus: {nodeshapepair.nodeSelector} not in graph"]
else:
s = cntxt.shapeExprFor(START if nodeshapepair.shapeLabel is None or nodeshapepair.shapeLabel is START
else nodeshapepair.shapeLabel)
cntxt.current_node = ParseNode(satisfies, s, n, cntxt)
if not s:
if nodeshapepair.shapeLabel is START or nodeshapepair.shapeLabel is None:
cntxt.fail_reason = "START node is not specified or is invalid"
else:
cntxt.fail_reason = f"Shape: {nodeshapepair.shapeLabel} not found in Schema"
return False, cntxt.process_reasons()
parse_nodes.append(cntxt.current_node)
if not satisfies(cntxt, n, s):
cntxt.current_node.result = False
return False, cntxt.process_reasons()
else:
cntxt.current_node.result = True
return True, [] | `5.2 Validation Definition <http://shex.io/shex-semantics/#validation>`_
The expression isValid(G, m) indicates that for every nodeSelector/shapeLabel pair (n, s) in m, s has a
corresponding shape expression se and satisfies(n, se, G, m). satisfies is defined below for each form
of shape expression
:param cntxt: evaluation context - includes graph and schema
:param m: list of NodeShape pairs to test
:return: Success/failure indicator and, if fail, a list of failure reasons |
def _read_oem(string):
ephems = []
required = (, , , , )
mode = None
for line in string.splitlines():
if not line or line.startswith("COMMENT"):
continue
elif line.startswith("META_START"):
mode = "meta"
ephem = {: []}
ephems.append(ephem)
elif line.startswith("META_STOP"):
mode = "data"
for k in required:
if k not in ephem:
raise ValueError("Missing field ".format(k))
if ephem[].lower() != "earth":
ephem[] = ephem[].title().replace(" ", "")
elif mode == "meta":
key, _, value = line.partition("=")
ephem[key.strip()] = value.strip()
elif mode == "data":
date, *state_vector = line.split()
date = Date.strptime(date, "%Y-%m-%dT%H:%M:%S.%f", scale=ephem[])
state_vector = np.array([float(x) for x in state_vector[:6]]) * 1000
ephem[].append(Orbit(date, state_vector, , ephem[], None))
for i, ephem_dict in enumerate(ephems):
if not ephem_dict[]:
raise ValueError("Empty ephemeris")
method = ephem_dict.get(, ).lower()
order = int(ephem_dict.get(, 7)) + 1
ephem = Ephem(ephem_dict[], method=method, order=order)
ephem.name = ephem_dict[]
ephem.cospar_id = ephem_dict[]
ephems[i] = ephem
if len(ephems) == 1:
return ephems[0]
return ephems | Args:
string (str): String containing the OEM
Return:
Ephem: |
def socket_monitor_loop(self):
try:
while True:
gevent.socket.wait_read(self.socket.fileno())
self._handle_log_rotations()
self.capture_packet()
finally:
self.clean_up() | Monitor the socket and log captured data. |
def setValidityErrorHandler(self, err_func, warn_func, arg=None):
libxml2mod.xmlRelaxNGSetValidErrors(self._o, err_func, warn_func, arg) | Register error and warning handlers for RelaxNG validation.
These will be called back as f(msg,arg) |
def on_response(self, msg):
LOGGER.debug("natsd.Requester.on_response: " + str(sys.getsizeof(msg)) + " bytes received")
working_response = json.loads(msg.data.decode())
working_properties = DriverTools.json2properties(working_response[])
working_body = b+bytes(working_response[], ) if in working_response else None
if DriverTools.MSG_CORRELATION_ID in working_properties:
if self.corr_id == working_properties[DriverTools.MSG_CORRELATION_ID]:
if DriverTools.MSG_SPLIT_COUNT in working_properties and \
int(working_properties[DriverTools.MSG_SPLIT_COUNT]) > 1:
working_body_decoded = base64.b64decode(working_body) if working_body is not None else None
if self.split_responses is None:
self.split_responses = []
self.split_responses_mid = working_properties[DriverTools.MSG_SPLIT_MID]
if working_properties[DriverTools.MSG_SPLIT_MID] == self.split_responses_mid:
response = {
: working_properties,
: working_body_decoded
}
self.split_responses.insert(int(working_properties[DriverTools.MSG_SPLIT_OID]), response)
if self.split_responses.__len__() == int(working_properties[DriverTools.MSG_SPLIT_COUNT]):
properties = {}
body = b
for num in range(0, self.split_responses.__len__()):
properties.update(self.split_responses[num][])
body += self.split_responses[num][]
self.response = {
: properties,
: body
}
self.split_responses = None
self.split_responses_mid = None
else:
LOGGER.warn("natsd.Requester.on_response - discarded response : (" +
str(working_properties[DriverTools.MSG_CORRELATION_ID]) + "," +
str(working_properties[DriverTools.MSG_SPLIT_MID]) + ")")
LOGGER.debug("natsd.Requester.on_response - discarded response : " + str({
: working_properties,
: working_body_decoded
}))
else:
working_body_decoded = base64.b64decode(working_body) if working_body is not None else \
bytes(json.dumps({}), )
self.response = {
: working_properties,
: working_body_decoded
}
else:
working_body_decoded = base64.b64decode(working_body) if working_body is not None else None
LOGGER.warn("natsd.Requester.on_response - discarded response : " +
str(working_properties[DriverTools.MSG_CORRELATION_ID]))
LOGGER.debug("natsd.Requester.on_response - discarded response : " + str({
: working_properties,
: working_body_decoded
}))
else:
working_body_decoded = base64.b64decode(working_body) if working_body is not None else None
LOGGER.warn("natsd.Requester.on_response - discarded response (no correlation ID)")
LOGGER.debug("natsd.Requester.on_response - discarded response : " + str({
: working_properties,
: working_body_decoded
})) | setup response if correlation id is the good one |
def _format_dates(self, start, end):
start = self._split_date(start)
end = self._split_date(end)
return start, end | Format start and end dates. |
def sphericalAngSep(ra0, dec0, ra1, dec1, radians=False):
if radians==False:
ra0 = np.radians(ra0)
dec0 = np.radians(dec0)
ra1 = np.radians(ra1)
dec1 = np.radians(dec1)
deltaRa= ra1-ra0
deltaDec= dec1-dec0
val = haversine(deltaDec)
val += np.cos(dec0) * np.cos(dec1) * haversine(deltaRa)
val = min(1, np.sqrt(val)) ;
val = 2*np.arcsin(val)
if radians==False:
val = np.degrees(val)
return val | Compute the spherical angular separation between two
points on the sky.
//Taken from http://www.movable-type.co.uk/scripts/gis-faq-5.1.html
NB: For small distances you can probably use
sqrt( dDec**2 + cos^2(dec)*dRa)
where dDec = dec1 - dec0 and
dRa = ra1 - ra0
and dec1 \approx dec \approx dec0 |
def delete_assessment_part(self, assessment_part_id):
if not isinstance(assessment_part_id, ABCId):
raise errors.InvalidArgument()
collection = JSONClientValidated(,
collection=,
runtime=self._runtime)
if collection.find({: str(assessment_part_id)}).count() != 0:
raise errors.IllegalState()
collection = JSONClientValidated(,
collection=,
runtime=self._runtime)
try:
apls = get_assessment_part_lookup_session(runtime=self._runtime,
proxy=self._proxy)
apls.use_unsequestered_assessment_part_view()
apls.use_federated_bank_view()
part = apls.get_assessment_part(assessment_part_id)
part.delete()
except AttributeError:
collection.delete_one({: ObjectId(assessment_part_id.get_identifier())}) | Removes an asessment part and all mapped items.
arg: assessment_part_id (osid.id.Id): the ``Id`` of the
``AssessmentPart``
raise: NotFound - ``assessment_part_id`` not found
raise: NullArgument - ``assessment_part_id`` is ``null``
raise: OperationFailed - unable to complete request
raise: PermissionDenied - authorization failure occurred
*compliance: mandatory -- This method must be implemented.* |
def set_value(self, value, status=Sensor.NOMINAL, timestamp=None):
if timestamp is None:
timestamp = self._manager.time()
self.set(timestamp, status, value) | Set sensor value with optinal specification of status and timestamp |
def build(self, shutit):
if shutit.build[] in (,):
if shutit.get_current_shutit_pexpect_session_environment().install_type == :
shutit.add_to_bashrc()
if not shutit.command_available():
shutit.install()
shutit.lsb_release()
elif shutit.get_current_shutit_pexpect_session_environment().install_type == :
shutit.send(, timeout=9999, exit_values=[, ])
shutit.pause_point( + , level=2)
return True | Initializes target ready for build and updating package management if in container. |
def remove_core_element(self, model):
assert model.outcome.parent is self.model.state
gui_helper_state_machine.delete_core_element_of_model(model) | Remove respective core element of handed outcome model
:param OutcomeModel model: Outcome model which core element should be removed
:return: |
def register_widget(self, widget_cls, **widget_kwargs):
if not issubclass(widget_cls, DashboardWidgetBase):
raise ImproperlyConfigured(
.format(widget_cls))
widget = widget_cls(**widget_kwargs)
widget_name = widget.get_name()
if widget_name in self.widgets:
raise WidgetAlreadyRegistered(
.format(widget_cls, widget_name))
self.widgets[widget_name] = widget | Registers the given widget.
Widgets must inherit ``DashboardWidgetBase`` and you cannot register
the same widget twice.
:widget_cls: A class that inherits ``DashboardWidgetBase``. |
def dedupe_cols(frame):
cols = list(frame.columns)
for i, item in enumerate(frame.columns):
if item in frame.columns[:i]:
cols[i] = "toDROP"
frame.columns = cols
return frame.drop("toDROP", 1, errors=) | Need to dedupe columns that have the same name. |
def delete(self, symbol, chunk_range=None, audit=None):
if chunk_range is not None:
sym = self._get_symbol_info(symbol)
df = self.read(symbol, chunk_range=chunk_range, filter_data=False)
row_adjust = len(df)
if not df.empty:
df = CHUNKER_MAP[sym[CHUNKER]].exclude(df, chunk_range)
query = {SYMBOL: symbol}
query.update(CHUNKER_MAP[sym[CHUNKER]].to_mongo(chunk_range))
self._collection.delete_many(query)
self._mdata.delete_many(query)
self.update(symbol, df)
sym = self._get_symbol_info(symbol)
sym[LEN] -= row_adjust
sym[CHUNK_COUNT] = mongo_count(self._collection, filter={SYMBOL: symbol})
self._symbols.replace_one({SYMBOL: symbol}, sym)
else:
query = {SYMBOL: symbol}
self._collection.delete_many(query)
self._symbols.delete_many(query)
self._mdata.delete_many(query)
if audit is not None:
audit[] = symbol
if chunk_range is not None:
audit[] = row_adjust
audit[] =
else:
audit[] =
self._audit.insert_one(audit) | Delete all chunks for a symbol, or optionally, chunks within a range
Parameters
----------
symbol : str
symbol name for the item
chunk_range: range object
a date range to delete
audit: dict
dict to store in the audit log |
def _temporal_distance_pdf(self):
temporal_distance_split_points_ordered, norm_cdf = self._temporal_distance_cdf()
delta_peak_loc_to_probability_mass = {}
non_delta_peak_split_points = [temporal_distance_split_points_ordered[0]]
non_delta_peak_densities = []
for i in range(0, len(temporal_distance_split_points_ordered) - 1):
left = temporal_distance_split_points_ordered[i]
right = temporal_distance_split_points_ordered[i + 1]
width = right - left
prob_mass = norm_cdf[i + 1] - norm_cdf[i]
if width == 0.0:
delta_peak_loc_to_probability_mass[left] = prob_mass
else:
non_delta_peak_split_points.append(right)
non_delta_peak_densities.append(prob_mass / float(width))
assert (len(non_delta_peak_densities) == len(non_delta_peak_split_points) - 1)
return numpy.array(non_delta_peak_split_points), \
numpy.array(non_delta_peak_densities), delta_peak_loc_to_probability_mass | Temporal distance probability density function.
Returns
-------
non_delta_peak_split_points: numpy.array
non_delta_peak_densities: numpy.array
len(density) == len(temporal_distance_split_points_ordered) -1
delta_peak_loc_to_probability_mass : dict |
def _request(self, method, resource_uri, **kwargs):
data = kwargs.get()
response = method(self.API_BASE_URL + resource_uri,
json=data, headers=self.headers)
response.raise_for_status()
return response.json() | Perform a method on a resource.
Args:
method: requests.`method`
resource_uri: resource endpoint
Raises:
HTTPError
Returns:
JSON Response |
def generate_report(
book_url,
fund_ids: StringOption(
section="Funds",
sort_tag="c",
documentation_string="Comma-separated list of fund ids.",
default_value="8123,8146,8148,8147")
):
return render_report(book_url, fund_ids) | Generates the report output |
def MediaBoxSize(self):
CheckParent(self)
val = _fitz.Page_MediaBoxSize(self)
val = Point(val)
if not bool(val):
r = self.rect
val = Point(r.width, r.height)
return val | Retrieve width, height of /MediaBox. |
def close(self):
close_command = StandardSend(self._address,
COMMAND_LIGHT_OFF_0X13_0X00)
self._send_method(close_command, self._close_message_received) | Send CLOSE command to device. |
def out_filename(template, n_val, mode):
return .format(template.name, n_val, mode.identifier) | Determine the output filename |
def update(self, fields=None, async_=None, jira=None, notify=True, **kwargs):
if async_ is None:
async_ = self._options[]
data = {}
if fields is not None:
data.update(fields)
data.update(kwargs)
data = json.dumps(data)
if not notify:
querystring = "?notifyUsers=false"
else:
querystring = ""
r = self._session.put(
self.self + querystring, data=data)
if in self._options and \
r.status_code == 400:
user = None
error_list = get_error_list(r)
logging.error(error_list)
if "The reporter specified is not a user." in error_list:
if not in data[]:
logging.warning(
"autofix: setting reporter to and retrying the update." % self._options[])
data[][] = {
: self._options[]}
if "Issues must be assigned." in error_list:
if not in data[]:
logging.warning("autofix: setting assignee to for %s and retrying the update." % (
self._options[], self.key))
data[][] = {
: self._options[]}
if "Issue type is a sub-task but parent issue key or id not specified." in error_list:
logging.warning(
"autofix: trying to fix sub-task without parent by converting to it to bug")
data[][] = {"name": "Bug"}
if "The summary is invalid because it contains newline characters." in error_list:
logging.warning("autofix: trying to fix newline in summary")
data[][
] = self.fields.summary.replace("/n", "")
for error in error_list:
if re.search(r"^User was not found in the system\.", error, re.U):
m = re.search(
r"^User was not found in the system\.", error, re.U)
if m:
user = m.groups()[0]
else:
raise NotImplementedError()
if re.search(r"^User does not exist\.", error):
m = re.search(r"^User does not exist\.", error)
if m:
user = m.groups()[0]
else:
raise NotImplementedError()
if user:
logging.warning(
"Trying to add missing orphan user in order to complete the previous failed operation." % user)
jira.add_user(user, , 10100, active=False)
if async_:
if not hasattr(self._session, ):
self._session._async_jobs = set()
self._session._async_jobs.add(threaded_requests.put(
self.self, data=json.dumps(data)))
else:
r = self._session.put(
self.self, data=json.dumps(data))
time.sleep(self._options[])
self._load(self.self) | Update this resource on the server.
Keyword arguments are marshalled into a dict before being sent. If this
resource doesn't support ``PUT``, a :py:exc:`.JIRAError` will be raised; subclasses that specialize this method
will only raise errors in case of user error.
:param fields: Fields which should be updated for the object.
:type fields: Optional[Dict[str, Any]]
:param async_: If true the request will be added to the queue so it can be executed later using async_run()
:type async_: bool
:param jira: Instance of JIRA Client
:type jira: jira.JIRA
:param notify: Whether or not to notify users about the update. (Default: True)
:type notify: bool
:type kwargs: **Any |
def sync(self, old_token=None):
token = "http://radicale.org/ns/sync/%s" % self.etag.strip("\"")
if old_token:
raise ValueError("Sync token are not supported (you can ignore this warning)")
return token, self.list() | Get the current sync token and changed items for synchronization.
``old_token`` an old sync token which is used as the base of the
delta update. If sync token is missing, all items are returned.
ValueError is raised for invalid or old tokens. |
def process_callback(self, block=True):
try:
(callback, args) = self._queue.get(block=block)
try:
callback(*args)
finally:
self._queue.task_done()
except queue.Empty:
return False
return True | Dispatch a single callback in the current thread.
:param boolean block: If True, blocks waiting for a callback to come.
:return: True if a callback was processed; otherwise False. |
def stream_file(self, path, fast_lane=True):
return Stream(self) | Create a temp file, stream it to the server if online and append its content using the write() method.
This makes sure that we have all newest data of this file on the server directly.
At the end of the job, the content the server received is stored as git blob on the server. It is then committed
locally and pushed. Git detects that the server already has the version (through the continuous streaming)
and won't push it again. Very handy for rather large files that will append over time (like channel data, logs)
Example:
self.log_stream = git.stream_file('log.txt')
self.log_stream.write("new line\n");
self.log_stream.write("another line\n"); |
def add_model(self, model):
logger.debug(
.format(model.name, self.name))
self.models[model.name] = model | Add a `RegressionModel` instance.
Parameters
----------
model : `RegressionModel`
Should have a ``.name`` attribute matching one of
the groupby segments. |
def update(self, portfolio, date, perfs=None):
self.portfolio = portfolio
self.perfs = perfs
self.date = date | Actualizes the portfolio universe with the alog state |
def drawPoints(self, pointPen, filterRedundantPoints=False):
if filterRedundantPoints:
pointPen = FilterRedundantPointPen(pointPen)
for contour in self.contours:
pointPen.beginPath(identifier=contour["identifier"])
for segmentType, pt, smooth, name, identifier in contour["points"]:
pointPen.addPoint(pt=pt, segmentType=segmentType, smooth=smooth, name=name, identifier=identifier)
pointPen.endPath()
for component in self.components:
pointPen.addComponent(component["baseGlyph"], component["transformation"], identifier=component["identifier"]) | draw self using pointPen |
def get_block_by_hash(self, block_hash: Hash32) -> BaseBlock:
validate_word(block_hash, title="Block Hash")
block_header = self.get_block_header_by_hash(block_hash)
return self.get_block_by_header(block_header) | Returns the requested block as specified by block hash. |
def __update_window(self, width, height, message_no, page_no):
file_exists_label =
if not os.path.exists(self.__create_file_name(message_no)):
file_exists_label =
if PLATFORM == :
for _ in range(50):
print
else:
sys.stdout.write()
content = self.messages[message_no].output.rstrip()
out = content
if self.args.color:
out = pygments.highlight(content, XmlLexer(), TerminalFormatter())
if message_no not in self.pages:
self._form_pages(message_no, content, out, height, width)
page_no = max(min(len(self.pages[message_no]) - 1, page_no), 0)
page_content = self.pages[message_no][page_no]
max_message = str(len(self.messages) - 1)
position_string = u.format(len(max_message))
position_string = position_string.format(message_no, max_message)
current_max_page = len(self.pages[message_no]) - 1
pages_string = u.format(page_no, current_max_page)
menu = (u
u).\
format(file_exists_label, position_string, pages_string,
* width)
print menu
print page_content
return page_no | Update the window with the menu and the new text |
def _parse_tmx(path):
def _get_tuv_lang(tuv):
for k, v in tuv.items():
if k.endswith("}lang"):
return v
raise AssertionError("Language not found in `tuv` attributes.")
def _get_tuv_seg(tuv):
segs = tuv.findall("seg")
assert len(segs) == 1, "Invalid number of segments: %d" % len(segs)
return segs[0].text
with tf.io.gfile.GFile(path) as f:
for _, elem in ElementTree.iterparse(f):
if elem.tag == "tu":
yield {
_get_tuv_lang(tuv):
_get_tuv_seg(tuv) for tuv in elem.iterfind("tuv")
}
elem.clear() | Generates examples from TMX file. |
def query(self, coords, mode=):
valid_modes = [
,
,
,
,
]
if mode not in valid_modes:
raise ValueError(
.format(mode, valid_modes))
n_coords_ret = coords.shape[0]
has_dist = hasattr(coords.distance, )
d = coords.distance.kpc if has_dist else None
pix_idx = self._coords2idx(coords)
mask_idx = (pix_idx == self._n_pix)
if np.any(mask_idx):
pix_idx[mask_idx] = 0
if mode == :
samp_idx = np.random.randint(0, self._n_samples, pix_idx.size)
n_samp_ret = 1
elif mode == :
samp_idx = np.random.randint(0, self._n_samples, self._n_pix)[pix_idx]
n_sample_ret = 1
else:
samp_idx = slice(None)
n_samp_ret = self._n_samples
if has_dist:
d = coords.distance.pc
dist_idx_ceil = np.searchsorted(self._dists, d)
if isinstance(samp_idx, slice):
ret = np.empty((n_coords_ret, n_samp_ret), dtype=)
else:
ret = np.empty((n_coords_ret,), dtype=)
idx_near = (dist_idx_ceil == 0)
if np.any(idx_near):
a = d[idx_near] / self._dists[0]
if isinstance(samp_idx, slice):
ret[idx_near] = a[:,None] * self._data[][pix_idx[idx_near], 0, samp_idx]
else:
ret[idx_near] = a[:] * self._data[][pix_idx[idx_near], 0, samp_idx[idx_near]]
idx_far = (dist_idx_ceil == self._n_dists)
if np.any(idx_far):
if isinstance(samp_idx, slice):
ret[idx_far] = self._data[][pix_idx[idx_far], -1, samp_idx]
else:
ret[idx_far] = self._data[][pix_idx[idx_far], -1, samp_idx[idx_far]]
idx_btw = ~idx_near & ~idx_far
if np.any(idx_btw):
d_ceil = self._dists[dist_idx_ceil[idx_btw]]
d_floor = self._dists[dist_idx_ceil[idx_btw]-1]
a = (d_ceil - d[idx_btw]) / (d_ceil - d_floor)
if isinstance(samp_idx, slice):
ret[idx_btw] = (
(1.-a[:,None]) * self._data[][pix_idx[idx_btw], dist_idx_ceil[idx_btw], samp_idx]
+ a[:,None] * self._data[][pix_idx[idx_btw], dist_idx_ceil[idx_btw]-1, samp_idx])
else:
ret[idx_btw] = (
(1.-a[:]) * self._data[][pix_idx[idx_btw], dist_idx_ceil[idx_btw], samp_idx[idx_btw]]
+ a[:] * self._data[][pix_idx[idx_btw], dist_idx_ceil[idx_btw]-1, samp_idx[idx_btw]])
else:
ret = self._data[][pix_idx, :, samp_idx]
samp_axis = 1 if has_dist else 2
if mode == :
ret = np.median(ret, axis=samp_axis)
elif mode == :
ret = np.mean(ret, axis=samp_axis)
if np.any(mask_idx):
ret[mask_idx] = np.nan
return ret | Returns A0 at the given coordinates. There are several different query
modes, which handle the probabilistic nature of the map differently.
Args:
coords (:obj:`astropy.coordinates.SkyCoord`): The coordinates to query.
mode (Optional[:obj:`str`]): Five different query modes are available:
``'random_sample'``, ``'random_sample_per_pix'``, ``'samples'``,
``'median'`` and ``'mean'``. The ``mode`` determines how the output
will reflect the probabilistic nature of the IPHAS dust map.
Returns:
Monochromatic extinction, A0, at the specified coordinates, in mags.
The shape of the output depends on the ``mode``, and on whether
``coords`` contains distances.
If ``coords`` does not specify distance(s), then the shape of the
output begins with `coords.shape`. If `coords` does specify
distance(s), then the shape of the output begins with
``coords.shape + ([number of distance bins],)``.
If ``mode`` is ``'random_sample'``, then at each coordinate/distance, a
random sample of reddening is given.
If ``mode`` is ``'random_sample_per_pix'``, then the sample chosen for
each angular pixel of the map will be consistent. For example, if
two query coordinates lie in the same map pixel, then the same
random sample will be chosen from the map for both query
coordinates.
If ``mode`` is ``'median'``, then at each coordinate/distance, the
median reddening is returned.
If ``mode`` is ``'mean'``, then at each coordinate/distance, the mean
reddening is returned.
Finally, if ``mode`` is ``'samples'``, then all at each
coordinate/distance, all samples are returned. |
def running_objects(self):
return [obj for obj in self.database_objects
if obj.status in [obj.known_statuses.RUNNING]] | Return the objects associated with this workflow. |
def report(self, name, ok, msg=None, deltat=20):
r = self.reports[name]
if time.time() < r.last_report + deltat:
r.ok = ok
return
r.last_report = time.time()
if ok and not r.ok:
self.say("%s OK" % name)
r.ok = ok
if not r.ok:
self.say(msg) | report a sensor error |
def config(scope=None):
global _cache_config
config_cmd_line = [, , ]
try:
exc_json = json.decoder.JSONDecodeError
except AttributeError:
exc_json = ValueError
try:
if _cache_config is None:
config_data = json.loads(
subprocess.check_output(config_cmd_line).decode())
_cache_config = Config(config_data)
if scope is not None:
return _cache_config.get(scope)
return _cache_config
except (exc_json, UnicodeDecodeError) as e:
log(
.format(config_cmd_line, str(e)), level=ERROR)
return None | Get the juju charm configuration (scope==None) or individual key,
(scope=str). The returned value is a Python data structure loaded as
JSON from the Juju config command.
:param scope: If set, return the value for the specified key.
:type scope: Optional[str]
:returns: Either the whole config as a Config, or a key from it.
:rtype: Any |
def remove(self, auto_confirm=False, verbose=False):
if not self.paths:
logger.info(
"Can%sUninstalling %s:Removing file or directory %sSuccessfully uninstalled %s', dist_name_version) | Remove paths in ``self.paths`` with confirmation (unless
``auto_confirm`` is True). |
def preprocess(self, nb_man, resources, km=None):
with self.setup_preprocessor(nb_man.nb, resources, km=km):
if self.log_output:
self.log.info("Executing notebook with kernel: {}".format(self.kernel_name))
nb, resources = self.papermill_process(nb_man, resources)
info_msg = self._wait_for_reply(self.kc.kernel_info())
nb.metadata[] = info_msg[][]
self.set_widgets_metadata()
return nb, resources | Wraps the parent class process call slightly |
def match_all(d_SMEFT, parameters=None):
p = default_parameters.copy()
if parameters is not None:
p.update(parameters)
C = wilson.util.smeftutil.wcxf2arrays_symmetrized(d_SMEFT)
C[] = 246.22
C_WET = match_all_array(C, p)
C_WET = wilson.translate.wet.rotate_down(C_WET, p)
C_WET = wetutil.unscale_dict_wet(C_WET)
d_WET = wilson.util.smeftutil.arrays2wcxf(C_WET)
basis = wcxf.Basis[, ]
keys = set(d_WET.keys()) & set(basis.all_wcs)
d_WET = {k: d_WET[k] for k in keys}
return d_WET | Match the SMEFT Warsaw basis onto the WET JMS basis. |
def print_tensor(td_tensor, indent="| ", max_depth=-1, depth=0):
offset = depth * indent
line = "td tensor: %s" % td_tensor.name
if td_tensor.value is not None:
line += " (%s)" % (",".join(str(i) for i in td_tensor.value.shape),)
print(offset + line)
if td_tensor.op and (max_depth < 0 or max_depth > depth):
print_op(td_tensor.op, indent=indent, max_depth=max_depth, depth=depth+1) | print_tensor(td_tensor, indent=" ", max_depth=-1)
Prints the dependency graph of a :py:class:`Tensor` *td_tensor*, where each new level is
indented by *indent*. When *max_depth* is positive, the graph is truncated at that depth, where
each tensor and each op count as a level. |
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