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def restricted_to_files(self,
filenames: List[str]
) -> 'Spectra':
"""
Returns a variant of this spectra that only contains entries for
lines that appear in any of the files whose name appear in the
given list.
"""
tally_passing = \
{fn: entries for (fn, entries) in self.__tally_passing.items() \
if fn in filenames}
tally_failing = \
{fn: entries for (fn, entries) in self.__tally_failing.items() \
if fn in filenames}
return Spectra(self.__num_passing,
self.__num_failing,
tally_passing,
tally_failing) | 0.008065 |
def get_cpu_info():
'''
Returns the CPU info by using the best sources of information for your OS.
Returns the result in a dict
'''
import json
output = get_cpu_info_json()
# Convert JSON to Python with non unicode strings
output = json.loads(output, object_hook = _utf_to_str)
return output | 0.039474 |
def sendcmd(self, cmd='AT', timeout=1.0):
"""send command, wait for response. returns response from modem."""
import time
if self.write(cmd):
while self.get_response() == '' and timeout > 0:
time.sleep(0.1)
timeout -= 0.1
return self.get_lines() | 0.006231 |
def check_dimensionless_vertical_coordinate(self, ds):
'''
Check the validity of dimensionless coordinates under CF
CF §4.3.2 The units attribute is not required for dimensionless
coordinates.
The standard_name attribute associates a coordinate with its definition
from Appendix D, Dimensionless Vertical Coordinates. The definition
provides a mapping between the dimensionless coordinate values and
dimensional values that can positively and uniquely indicate the
location of the data.
A new attribute, formula_terms, is used to associate terms in the
definitions with variables in a netCDF file. To maintain backwards
compatibility with COARDS the use of these attributes is not required,
but is strongly recommended.
:param netCDF4.Dataset ds: An open netCDF dataset
:rtype: list
:return: List of results
'''
ret_val = []
z_variables = cfutil.get_z_variables(ds)
deprecated_units = [
'level',
'layer',
'sigma_level'
]
for name in z_variables:
variable = ds.variables[name]
standard_name = getattr(variable, 'standard_name', None)
units = getattr(variable, 'units', None)
formula_terms = getattr(variable, 'formula_terms', None)
# Skip the variable if it's dimensional
if (formula_terms is None and
standard_name not in dimless_vertical_coordinates):
continue
is_not_deprecated = TestCtx(BaseCheck.LOW, self.section_titles["4.3"])
is_not_deprecated.assert_true(units not in deprecated_units,
"§4.3.2: units are deprecated by CF in variable {}: {}"
"".format(name, units))
ret_val.append(is_not_deprecated.to_result())
ret_val.append(self._check_formula_terms(ds, name))
return ret_val | 0.002438 |
def from_(self, pct_pts):
"""Reverse of :meth:`to_`."""
pct_pts = np.asarray(pct_pts, dtype=np.float)
has_z = (pct_pts.shape[-1] > 2)
max_pt = list(self.viewer.get_window_size())
if has_z:
max_pt.append(0.0)
win_pts = np.multiply(pct_pts, max_pt)
# round to pixel units, if asked
if self.as_int:
win_pts = np.rint(win_pts).astype(np.int, copy=False)
return win_pts | 0.00431 |
def normpdf(x, mu, sigma):
"""
Describes the relative likelihood that a real-valued random variable X will
take on a given value.
http://en.wikipedia.org/wiki/Probability_density_function
"""
u = (x-mu)/abs(sigma)
y = (1/(math.sqrt(2*pi)*abs(sigma)))*math.exp(-u*u/2)
return y | 0.00639 |
def split_full_path(path):
"""Return pair of bucket without protocol and path
Arguments:
path - valid S3 path, such as s3://somebucket/events
>>> split_full_path('s3://mybucket/path-to-events')
('mybucket', 'path-to-events/')
>>> split_full_path('s3://mybucket')
('mybucket', None)
>>> split_full_path('s3n://snowplow-bucket/some/prefix/')
('snowplow-bucket', 'some/prefix/')
"""
if path.startswith('s3://'):
path = path[5:]
elif path.startswith('s3n://'):
path = path[6:]
elif path.startswith('s3a://'):
path = path[6:]
else:
raise ValueError("S3 path should start with s3://, s3n:// or "
"s3a:// prefix")
parts = path.split('/')
bucket = parts[0]
path = '/'.join(parts[1:])
return bucket, normalize_prefix(path) | 0.001185 |
def check(self):
"""
Checks the status of the stop exposure command
This is run in background and can take a few seconds
"""
g = get_root(self).globals
if self.stopped_ok:
# Exposure stopped OK; modify buttons
self.disable()
# try and write FITS table before enabling start button, otherwise
# a new start will clear table
try:
insertFITSHDU(g)
except Exception as err:
g.clog.warn('Could not add FITS Table to run')
g.clog.warn(str(err))
g.observe.start.enable()
g.setup.powerOn.disable()
g.setup.powerOff.enable()
# Report that run has stopped
g.clog.info('Run stopped')
# enable idle mode now run has stopped
g.clog.info('Setting chips to idle')
idle = {'appdata': {'app': 'Idle'}}
try:
success = postJSON(g, idle)
if not success:
raise Exception('postJSON returned false')
except Exception as err:
g.clog.warn('Failed to enable idle mode')
g.clog.warn(str(err))
g.clog.info('Stopping offsets (if running')
try:
success = stopNodding(g)
if not success:
raise Exception('Failed to stop dithering: response was false')
except Exception as err:
g.clog.warn('Failed to stop GTC offset script')
g.clog.warn(str(err))
return True
elif self.stopping:
# Exposure in process of stopping
# Disable lots of buttons
self.disable()
g.observe.start.disable()
g.setup.powerOn.disable()
g.setup.powerOff.disable()
# wait a second before trying again
self.after(500, self.check)
else:
self.enable()
g.observe.start.disable()
g.setup.powerOn.disable()
g.setup.powerOff.disable()
# Start exposure meter
g.info.timer.start()
return False | 0.001346 |
def update(self):
"""Update |WZ| based on |RelWZ| and |NFk|.
>>> from hydpy.models.lland import *
>>> parameterstep('1d')
>>> nhru(2)
>>> lnk(ACKER)
>>> relwz(0.8)
>>> nfk(100.0, 200.0)
>>> derived.wz.update()
>>> derived.wz
wz(80.0, 160.0)
"""
con = self.subpars.pars.control
self(con.relwz*con.nfk) | 0.004938 |
def make_wrapper(self, callable_):
"""Given a free-standing function 'callable', return a new
callable that will call 'callable' and report all exceptins,
using 'call_and_report_errors'."""
assert callable(callable_)
def wrapper(*args, **kw):
return self.call_and_report_errors(callable_, *args, **kw)
return wrapper | 0.007979 |
def restart(self, key):
"""Restart a previously finished entry."""
if key in self.queue:
if self.queue[key]['status'] in ['failed', 'done']:
new_entry = {'command': self.queue[key]['command'],
'path': self.queue[key]['path']}
self.add_new(new_entry)
self.write()
return True
return False | 0.004808 |
def is_valid_vpnv4_prefix(prefix):
"""Returns True if given prefix is a string represent vpnv4 prefix.
Vpnv4 prefix is made up of RD:Ipv4, where RD is represents route
distinguisher and Ipv4 represents valid dot-decimal ipv4 notation string.
"""
if not isinstance(prefix, str):
return False
# Split the prefix into route distinguisher and IP
tokens = prefix.split(':', 2)
if len(tokens) != 3:
return False
# Validate route distinguisher
if not is_valid_route_dist(':'.join([tokens[0], tokens[1]])):
return False
# Validate IPv4 prefix and return
return is_valid_ipv4_prefix(tokens[2]) | 0.001515 |
def _read_extensions(self, context):
"""Return list of extensions as str to be passed on to the Jinja2 env.
If context does not contain the relevant info, return an empty
list instead.
"""
try:
extensions = context['cookiecutter']['_extensions']
except KeyError:
return []
else:
return [str(ext) for ext in extensions] | 0.004866 |
def _program_dcnm_static_route(self, tenant_id, tenant_name):
"""Program DCNM Static Route. """
in_ip_dict = self.get_in_ip_addr(tenant_id)
in_gw = in_ip_dict.get('gateway')
in_ip = in_ip_dict.get('subnet')
if in_gw is None:
LOG.error("No FW service GW present")
return False
out_ip_dict = self.get_out_ip_addr(tenant_id)
out_ip = out_ip_dict.get('subnet')
# Program DCNM to update profile's static IP address on OUT part
excl_list = []
excl_list.append(in_ip)
excl_list.append(out_ip)
subnet_lst = self.os_helper.get_subnet_nwk_excl(tenant_id, excl_list,
excl_part=True)
# This count is for telling DCNM to insert the static route in a
# particular position. Total networks created - exclusive list as
# above - the network that just got created.
srvc_node_ip = self.get_out_srvc_node_ip_addr(tenant_id)
ret = self.dcnm_obj.update_partition_static_route(
tenant_name, fw_const.SERV_PART_NAME, subnet_lst,
vrf_prof=self.cfg.firewall.fw_service_part_vrf_profile,
service_node_ip=srvc_node_ip)
if not ret:
LOG.error("Unable to update DCNM ext profile with static "
"route")
return False
return True | 0.001417 |
def sample_stats_to_xarray(self):
"""Extract sample_stats from tfp trace."""
if self.model_fn is None or self.observed is None:
return None
log_likelihood = []
sample_size = self.posterior[0].shape[0]
for i in range(sample_size):
variables = {}
for var_i, var_name in enumerate(self.var_names):
variables[var_name] = self.posterior[var_i][i]
with self.ed.interception(self._value_setter(variables)):
log_likelihood.append((self.model_fn().distribution.log_prob(self.observed)))
data = {}
if self.dims is not None:
coord_name = self.dims.get("obs")
else:
coord_name = None
dims = {"log_likelihood": coord_name}
with self.tf.Session() as sess:
data["log_likelihood"] = np.expand_dims(
sess.run(log_likelihood, feed_dict=self.feed_dict), axis=0
)
return dict_to_dataset(data, library=self.tfp, coords=self.coords, dims=dims) | 0.003687 |
def _get_dict_default(obj, key):
"""
obj MUST BE A DICT
key IS EXPECTED TO BE LITERAL (NO ESCAPING)
TRY BOTH ATTRIBUTE AND ITEM ACCESS, OR RETURN Null
"""
try:
return obj[key]
except Exception as f:
pass
try:
if float(key) == round(float(key), 0):
return obj[int(key)]
except Exception as f:
pass
return NullType(obj, key) | 0.002451 |
def _create_fit_summary(self):
"""
Create and store a pandas series that will display to users the
various statistics/values that indicate how well the estimated model
fit the given dataset.
Returns
-------
None.
"""
# Make sure we have all attributes needed to create the results summary
needed_attributes = ["df_model",
"nobs",
"null_log_likelihood",
"log_likelihood",
"rho_squared",
"rho_bar_squared",
"estimation_message"]
try:
assert all([hasattr(self, attr) for attr in needed_attributes])
assert all([getattr(self, attr) is not None
for attr in needed_attributes])
except AssertionError:
msg = "Call this function only after setting/calculating all other"
msg_2 = " estimation results attributes"
raise NotImplementedError(msg + msg_2)
self.fit_summary = pd.Series([self.df_model,
self.nobs,
self.null_log_likelihood,
self.log_likelihood,
self.rho_squared,
self.rho_bar_squared,
self.estimation_message],
index=["Number of Parameters",
"Number of Observations",
"Null Log-Likelihood",
"Fitted Log-Likelihood",
"Rho-Squared",
"Rho-Bar-Squared",
"Estimation Message"])
return None | 0.001007 |
def sum_mags(mags, weights=None):
"""
Sum an array of magnitudes in flux space.
Parameters:
-----------
mags : array of magnitudes
weights : array of weights for each magnitude (i.e. from a pdf)
Returns:
--------
sum_mag : the summed magnitude of all the stars
"""
flux = 10**(-np.asarray(mags) / 2.5)
if weights is None:
return -2.5 * np.log10(np.sum(flux))
else:
return -2.5 * np.log10(np.sum(weights*flux)) | 0.004115 |
def website_exists_as_secure(self, website):
"""" Return true if the website has an equivalent that is secure
we will have 2 websites with the same name, one insecure (that will contain just
the redirect and the identity-verification) and one secured
"""
if website['https']:
logger.info("website %s is already secured, skip" % website['name'])
return website
# changes in these fields are ignored
for other in self._websites:
if other['id'] == website['id']:
continue
if other['name'] == website['name'] and other['https']:
return other
return None | 0.005706 |
def publish(self, value):
"""
Accepts: int, long
Returns: int, long
"""
value = super(Integer, self).publish(value)
if isinstance(value, float):
value = int(value)
if not isinstance(value, (int, long)):
raise ValueError("Not an integer: %r" % (value, ))
return value | 0.00565 |
def detect_mode(term_hint="xterm-256color"):
"""Poor-mans color mode detection."""
if "ANSICON" in os.environ:
return 16
elif os.environ.get("ConEmuANSI", "OFF") == "ON":
return 256
else:
term = os.environ.get("TERM", term_hint)
if term.endswith("-256color") or term in ("xterm", "screen"):
return 256
elif term.endswith("-color") or term in ("rxvt",):
return 16
else:
return 256 | 0.002088 |
def parse(self):
"""Parse the data."""
if self._filename:
with open(self._filename) as ifile:
self._data = ifile.read()
with QasmParser(self._filename) as qasm_p:
qasm_p.parse_debug(False)
return qasm_p.parse(self._data) | 0.006734 |
def register_signals(self):
"""Register signals."""
from .models import Collection
from .receivers import CollectionUpdater
if self.app.config['COLLECTIONS_USE_PERCOLATOR']:
from .percolator import collection_inserted_percolator, \
collection_removed_percolator, \
collection_updated_percolator
# Register collection signals to update percolators
listen(Collection, 'after_insert',
collection_inserted_percolator)
listen(Collection, 'after_update',
collection_updated_percolator)
listen(Collection, 'after_delete',
collection_removed_percolator)
# Register Record signals to update record['_collections']
self.update_function = CollectionUpdater(app=self.app)
signals.before_record_insert.connect(self.update_function,
weak=False)
signals.before_record_update.connect(self.update_function,
weak=False) | 0.00181 |
def _list_tables(self, max_results=None, marker=None, timeout=None):
'''
Returns a list of tables under the specified account. Makes a single list
request to the service. Used internally by the list_tables method.
:param int max_results:
The maximum number of tables to return. A single list request may
return up to 1000 tables and potentially a continuation token which
should be followed to get additional resutls.
:param marker:
A dictionary which identifies the portion of the query to be
returned with the next query operation. The operation returns a
next_marker element within the response body if the list returned
was not complete. This value may then be used as a query parameter
in a subsequent call to request the next portion of the list of
queues. The marker value is opaque to the client.
:type marker: obj
:param int timeout:
The server timeout, expressed in seconds.
:return: A list of tables, potentially with a next_marker property.
:rtype: list of :class:`~azure.storage.models.table.Table`:
'''
request = HTTPRequest()
request.method = 'GET'
request.host = self._get_host()
request.path = '/Tables'
request.headers = [('Accept', TablePayloadFormat.JSON_NO_METADATA)]
request.query = [
('$top', _int_to_str(max_results)),
('NextTableName', _to_str(marker)),
('timeout', _int_to_str(timeout)),
]
response = self._perform_request(request)
return _convert_json_response_to_tables(response) | 0.004065 |
def rename_annotations(self, sentence):
"""Function that renames and restructures clause information."""
annotations = []
for token in sentence:
data = {CLAUSE_IDX: token[CLAUSE_IDX]}
if CLAUSE_ANNOT in token:
if 'KINDEL_PIIR' in token[CLAUSE_ANNOT]:
data[CLAUSE_ANNOTATION] = CLAUSE_BOUNDARY
elif 'KIILU_ALGUS' in token[CLAUSE_ANNOT]:
data[CLAUSE_ANNOTATION] = EMBEDDED_CLAUSE_START
elif 'KIILU_LOPP' in token[CLAUSE_ANNOT]:
data[CLAUSE_ANNOTATION] = EMBEDDED_CLAUSE_END
annotations.append(data)
return annotations | 0.002894 |
def _paths_must_exists(path):
"""
Raises error if path doesn't exist.
:param path: str path to check
:return: str same path passed in
"""
path = to_unicode(path)
if not os.path.exists(path):
raise argparse.ArgumentTypeError("{} is not a valid file/folder.".format(path))
return path | 0.006211 |
def _satisfyVersionByInstallingVersion(name, version_required, working_directory, version, type='module', inherit_shrinkwrap=None):
''' installs and returns a Component/Target for the specified version requirement into
'working_directory' using the provided remote version object.
This function is not normally called via `satisfyVersionByInstalling',
which looks up a suitable remote version object.
'''
assert(version)
logger.info('download %s', version)
version.unpackInto(working_directory)
r = _clsForType(type)(working_directory, inherit_shrinkwrap = inherit_shrinkwrap)
if not r:
raise Exception(
'Dependency "%s":"%s" is not a valid %s.' % (name, version_required, type)
)
if name != r.getName():
raise Exception('%s %s (specification %s) has incorrect name %s' % (
type, name, version_required, r.getName()
))
# error code deliberately ignored here for now, it isn't clear what the
# behaviour should be (abort? remove the unpacked state then abort?
# continue?)
r.runScript('postInstall')
return r | 0.006146 |
def pause(self):
"""Pause the sampler. Sampling can be resumed by calling `icontinue`.
"""
self.status = 'paused'
# The _loop method will react to 'paused' status and stop looping.
if hasattr(
self, '_sampling_thread') and self._sampling_thread.isAlive():
print_('Waiting for current iteration to finish...')
while self._sampling_thread.isAlive():
sleep(.1) | 0.004415 |
def create_keyspace_network_topology(name, dc_replication_map, durable_writes=True, connections=None):
"""
Creates a keyspace with NetworkTopologyStrategy for replica placement
If the keyspace already exists, it will not be modified.
**This function should be used with caution, especially in production environments.
Take care to execute schema modifications in a single context (i.e. not concurrently with other clients).**
*There are plans to guard schema-modifying functions with an environment-driven conditional.*
:param str name: name of keyspace to create
:param dict dc_replication_map: map of dc_names: replication_factor
:param bool durable_writes: Write log is bypassed if set to False
:param list connections: List of connection names
"""
_create_keyspace(name, durable_writes, 'NetworkTopologyStrategy', dc_replication_map, connections=connections) | 0.006565 |
def imei(number):
'''
Printable International Mobile Station Equipment Identity (IMEI) numbers.
:param number: string or int
>>> print(imei(12345678901234))
12-345678-901234-7
>>> print(imei(1234567890123456))
12-345678-901234-56
'''
number = to_decimal(number)
length = len(number)
if length not in (14, 15, 16):
raise ValueError(
_('Invaid International Mobile Station Equipment Identity')
)
if len(number) == 14:
# Add Luhn check digit
number = luhn_append(number)
groups = (number[:2], number[2:8], number[8:14], number[14:])
return u'-'.join(list(filter(None, groups))) | 0.001475 |
def normal_cdf(x, mu=0, sigma=1):
"""Cumulative Normal Distribution Function.
:param x: scalar or array of real numbers.
:type x: numpy.ndarray, float
:param mu: Mean value. Default 0.
:type mu: float, numpy.ndarray
:param sigma: Standard deviation. Default 1.
:type sigma: float
:returns: An approximation of the cdf of the normal.
:rtype: numpy.ndarray
Note:
CDF of the normal distribution is defined as
\frac12 [1 + erf(\frac{x - \mu}{\sigma \sqrt{2}})], x \in \R
Source: http://en.wikipedia.org/wiki/Normal_distribution
"""
arg = (x - mu) / (sigma * numpy.sqrt(2))
res = (1 + erf(arg)) / 2
return res | 0.008696 |
def _valid_atoms(model, expression):
"""Check whether a sympy expression references the correct variables.
Parameters
----------
model : cobra.Model
The model in which to check for variables.
expression : sympy.Basic
A sympy expression.
Returns
-------
boolean
True if all referenced variables are contained in model, False
otherwise.
"""
atoms = expression.atoms(optlang.interface.Variable)
return all(a.problem is model.solver for a in atoms) | 0.001916 |
def insertions_from_masked(seq):
"""
get coordinates of insertions from insertion-masked sequence
"""
insertions = []
prev = True
for i, base in enumerate(seq):
if base.isupper() and prev is True:
insertions.append([])
prev = False
elif base.islower():
insertions[-1].append(i)
prev = True
return [[min(i), max(i)] for i in insertions if i != []] | 0.002283 |
def to_tile(self, zoom):
""" Converts EPSG:900913 to tile coordinates in given zoom level """
p1 = self.min.to_tile(zoom)
p2 = self.max.to_tile(zoom)
return GridBB(zoom, p1.x, p2.y, p2.x, p1.y) | 0.008889 |
def column_signs_(self):
"""
Return a numpy array with expected signs of features.
Values are
* +1 when all known terms which map to the column have positive sign;
* -1 when all known terms which map to the column have negative sign;
* ``nan`` when there are both positive and negative known terms
for this column, or when there is no known term which maps to this
column.
"""
if self._always_positive():
return np.ones(self.n_features)
self.unhasher.recalculate_attributes()
return self.unhasher.column_signs_ | 0.00321 |
def p_continue_statement_2(self, p):
"""continue_statement : CONTINUE identifier SEMI
| CONTINUE identifier AUTOSEMI
"""
p[0] = self.asttypes.Continue(p[2])
p[0].setpos(p) | 0.008584 |
def find_eigen(hint=None):
r'''
Try to find the Eigen library. If successful the include directory is returned.
'''
# search with pkgconfig
# ---------------------
try:
import pkgconfig
if pkgconfig.installed('eigen3','>3.0.0'):
return pkgconfig.parse('eigen3')['include_dirs'][0]
except:
pass
# manual search
# -------------
search_dirs = [] if hint is None else hint
search_dirs += [
"/usr/local/include/eigen3",
"/usr/local/homebrew/include/eigen3",
"/opt/local/var/macports/software/eigen3",
"/opt/local/include/eigen3",
"/usr/include/eigen3",
"/usr/include/local",
"/usr/include",
]
for d in search_dirs:
path = os.path.join(d, "Eigen", "Dense")
if os.path.exists(path):
vf = os.path.join(d, "Eigen", "src", "Core", "util", "Macros.h")
if not os.path.exists(vf):
continue
src = open(vf, "r").read()
v1 = re.findall("#define EIGEN_WORLD_VERSION (.+)", src)
v2 = re.findall("#define EIGEN_MAJOR_VERSION (.+)", src)
v3 = re.findall("#define EIGEN_MINOR_VERSION (.+)", src)
if not len(v1) or not len(v2) or not len(v3):
continue
v = "{0}.{1}.{2}".format(v1[0], v2[0], v3[0])
print("Found Eigen version {0} in: {1}".format(v, d))
return d
return None | 0.019011 |
def create_instance(self, image_id, pem_file, group_ids, instance_type, volume_type='gp2', ebs_optimized=False, instance_monitoring=False, iam_profile='', tag_list=None, auction_bid=0.0):
'''
a method for starting an instance on AWS EC2
:param image_id: string with aws id of image for instance
:param pem_file: string with path to pem file to access image
:param group_ids: list with aws id of security group(s) to attach to instance
:param instance_type: string with type of instance resource to use
:param volume_type: string with type of on-disk storage
:param ebs_optimized: [optional] boolean to activate ebs optimization
:param instance_monitoring: [optional] boolean to active instance monitoring
:param iam_profile: [optional] string with name of iam instance profile role
:param tag_list: [optional] list of single key-pair tags for instance
:param auction_bid: [optional] float with dollar amount to bid for instance hour
:return: string with id of instance
'''
title = '%s.create_instance' % self.__class__.__name__
# validate inputs
input_fields = {
'image_id': image_id,
'pem_file': pem_file,
'group_ids': group_ids,
'instance_type': instance_type,
'volume_type': volume_type,
'iam_profile': iam_profile,
'tag_list': tag_list,
'auction_bid': auction_bid
}
for key, value in input_fields.items():
if value:
object_title = '%s(%s=%s)' % (title, key, str(value))
self.fields.validate(value, '.%s' % key, object_title)
# print warning about auction
if auction_bid:
self.iam.printer('[WARNING]: auction bidding is not yet available.')
# turn off verbosity
self.iam.printer_on = False
# verify existence of image
try:
self.read_image(image_id)
except:
raise ValueError('Image %s does not exist in EC2 account or permission scope.')
# verify existence of security group
group_list = self.list_security_groups()
for id in group_ids:
if id not in group_list:
raise ValueError('Security group %s does not exist in EC2 account.' % id)
# verify existence of iam profile
if iam_profile:
if not iam_profile in self.iam.list_roles():
raise ValueError('Iam instance profile %s does not exist in IAM account.' % iam_profile)
# validate path to pem file
from os import path
if not path.exists(pem_file):
raise ValueError('%s is not a valid path on localhost.' % pem_file)
# verify existence of pem name
pem_absolute = path.abspath(pem_file)
pem_root, pem_ext = path.splitext(pem_absolute)
pem_path, pem_name = path.split(pem_root)
if not pem_name in self.list_keypairs():
raise ValueError('Pem file name %s does not exist in EC2 account.' % pem_name)
# turn on verbosity
self.iam.printer_on = True
# create client token and timestamp for instance
from labpack.records.id import labID
record_id = labID()
client_token = 'CT-%s' % record_id.id36
from labpack.records.time import labDT
timestamp = labDT.new().zulu()
# construct tag list
if not tag_list:
tag_list = []
for tag in tag_list:
if tag['key'] == 'BuildDate':
tag['value'] = timestamp
# create keyword argument definitions
kw_args = {
'DryRun': False,
'ImageId': image_id,
'MinCount': 1,
'MaxCount': 1,
'KeyName': pem_name,
'SecurityGroupIds': group_ids,
'InstanceType': instance_type,
'ClientToken': client_token,
'Monitoring': { 'Enabled': instance_monitoring },
'EbsOptimized': ebs_optimized,
'BlockDeviceMappings': []
}
kw_args['BlockDeviceMappings'].append(
{ "DeviceName": "/dev/xvda", "Ebs": { "VolumeType": volume_type } }
)
if iam_profile:
kw_args['IamInstanceProfile'] = { 'Name': iam_profile }
# start instance on aws
self.iam.printer('Initiating instance of image %s.' % image_id)
try:
response = self.connection.run_instances(**kw_args)
except Exception as err:
if str(err).find('non-VPC'):
self.iam.printer('Default VPC Error Detected!\nAttempting to add Subnet declaration.')
group_details = self.read_security_group(group_ids[0])
env_type = ''
for tag in group_details['tags']:
if tag['Key'] == 'Env':
env_type = tag['Value']
if env_type:
subnet_list = self.list_subnets(tag_values=[env_type])
else:
subnet_list = self.list_subnets()
error_msg = '%s requires a Subnet match the Security Group %s' % (title, group_ids[0])
if not subnet_list:
raise AWSConnectionError(error_msg)
subnet_id = ''
for subnet in subnet_list:
subnet_details = self.read_subnet(subnet)
if subnet_details['vpc_id'] == group_details['vpc_id']:
subnet_id = subnet
if not subnet_id:
raise AWSConnectionError(error_msg)
kw_args['SubnetId'] = subnet_id
try:
response = self.connection.run_instances(**kw_args)
except:
raise AWSConnectionError('%s(%s)' % (title, kw_args))
else:
raise AWSConnectionError('%s(%s)' % (title, kw_args))
# parse instance id from response
instance_id = ''
instance_list = response['Instances']
for i in range(0, len(instance_list)):
if instance_list[i]['ClientToken'] == client_token:
instance_id = instance_list[i]['InstanceId']
if instance_id:
self.iam.printer('Instance %s has been initiated.' % instance_id)
else:
raise Exception('Failure creating instance from image %s.' % image_id)
# tag instance with instance tags
self.tag_instance(instance_id, tag_list)
return instance_id | 0.005733 |
def process_response(self):
"""
Parses an HTTP response after an HTTP request is sent
"""
split_response = self.response.split(self.CRLF)
response_line = split_response[0]
response_headers = {}
response_data = None
data_line = None
for line_num in range(1, len(split_response[1:])):
# CRLF represents the start of data
if split_response[line_num] == '':
data_line = line_num + 1
break
else:
# Headers are all split by ':'
header = split_response[line_num].split(':', 1)
if len(header) != 2:
raise errors.TestError(
'Did not receive a response with valid headers',
{
'header_rcvd': str(header),
'function': 'http.HttpResponse.process_response'
})
response_headers[header[0].lower()] = header[1].lstrip()
if 'set-cookie' in response_headers.keys():
try:
cookie = Cookie.SimpleCookie()
cookie.load(response_headers['set-cookie'])
except Cookie.CookieError as err:
raise errors.TestError(
'Error processing the cookie content into a SimpleCookie',
{
'msg': str(err),
'set_cookie': str(response_headers['set-cookie']),
'function': 'http.HttpResponse.process_response'
})
# if the check_for_cookie is invalid then we don't save it
if self.check_for_cookie(cookie) is False:
raise errors.TestError(
'An invalid cookie was specified',
{
'set_cookie': str(response_headers['set-cookie']),
'function': 'http.HttpResponse.process_response'
})
else:
self.cookiejar.append((cookie, self.dest_addr))
if data_line is not None and data_line < len(split_response):
response_data = self.CRLF.join(split_response[data_line:])
# if the output headers say there is encoding
if 'content-encoding' in response_headers.keys():
response_data = self.parse_content_encoding(
response_headers, response_data)
if len(response_line.split(' ', 2)) != 3:
raise errors.TestError(
'The HTTP response line returned the wrong args',
{
'response_line': str(response_line),
'function': 'http.HttpResponse.process_response'
})
try:
self.status = int(response_line.split(' ', 2)[1])
except ValueError:
raise errors.TestError(
'The status num of the response line isn\'t convertable',
{
'msg': 'This may be an HTTP 1.0 \'Simple Req\\Res\', it \
doesn\'t have HTTP headers and FTW will not parse these',
'response_line': str(response_line),
'function': 'http.HttpResponse.process_response'
})
self.status_msg = response_line.split(' ', 2)[2]
self.version = response_line.split(' ', 2)[0]
self.response_line = response_line
self.headers = response_headers
self.data = response_data | 0.000562 |
def set(cls, prop, value):
""" Set the value of the given configuration property.
:param prop: (string) name of the property
:param value: (object) value to set
"""
if cls._properties is None:
cls._readStdConfigFiles()
cls._properties[prop] = str(value) | 0.006993 |
def describe(self, tablename, refresh=False, metrics=False, require=False):
""" Get the :class:`.TableMeta` for a table """
table = self.cached_descriptions.get(tablename)
if refresh or table is None or (metrics and not table.consumed_capacity):
desc = self.connection.describe_table(tablename)
if desc is None:
if require:
raise RuntimeError("Table %r not found" % tablename)
else:
return None
table = TableMeta.from_description(desc)
self.cached_descriptions[tablename] = table
if metrics:
read, write = self.get_capacity(tablename)
table.consumed_capacity["__table__"] = {"read": read, "write": write}
for index_name in table.global_indexes:
read, write = self.get_capacity(tablename, index_name)
table.consumed_capacity[index_name] = {"read": read, "write": write}
return table | 0.004836 |
def delete_collection_percolator(target):
"""Delete percolator associated with the new collection.
:param target: Collection where the percolator was attached.
"""
for name in current_search.mappings.keys():
if target.name and target.dbquery:
current_search.client.delete(
index=name,
doc_type='.percolator',
id='collection-{}'.format(target.name),
ignore=[404]
) | 0.002101 |
def datetime_to_iso(date, only_date=True):
""" Convert datetime format to ISO 8601 time format
This function converts a date in datetime instance, e.g. ``datetime.datetime(2017,9,14,0,0)`` to ISO format,
e.g. ``2017-09-14``
:param date: datetime instance to convert
:type date: datetime
:param only_date: whether to return date only or also time information. Default is ``True``
:type only_date: bool
:return: date in ISO 8601 format
:rtype: str
"""
if only_date:
return date.isoformat().split('T')[0]
return date.isoformat() | 0.005146 |
def set_color(fg=None, bg=None):
"""Set the current colors.
If no arguments are given, sets default colors.
"""
if fg or bg:
_color_manager.set_color(fg, bg)
else:
_color_manager.set_defaults() | 0.004329 |
def random_string(length):
'''
Generate random string with parameter length.
Example:
>>> from eggit.egg_string import random_string
>>> random_string(8)
'q4f2eaT4'
>>>
'''
str_list = [random.choice(string.digits + string.ascii_letters) for i in range(length)]
return ''.join(str_list) | 0.005814 |
def write_report(self, force=False):
'''
Writes the report to a file.
'''
path = self.title + '.html'
value = self._template.format(
title=self.title, body=self.body, sidebar=self.sidebar)
write_file(path, value, force=force)
plt.ion() | 0.006601 |
def class_traits(cls, **metadata):
"""Get a list of all the traits of this class.
This method is just like the :meth:`traits` method, but is unbound.
The TraitTypes returned don't know anything about the values
that the various HasTrait's instances are holding.
This follows the same algorithm as traits does and does not allow
for any simple way of specifying merely that a metadata name
exists, but has any value. This is because get_metadata returns
None if a metadata key doesn't exist.
"""
traits = dict([memb for memb in getmembers(cls) if \
isinstance(memb[1], TraitType)])
if len(metadata) == 0:
return traits
for meta_name, meta_eval in metadata.items():
if type(meta_eval) is not FunctionType:
metadata[meta_name] = _SimpleTest(meta_eval)
result = {}
for name, trait in traits.items():
for meta_name, meta_eval in metadata.items():
if not meta_eval(trait.get_metadata(meta_name)):
break
else:
result[name] = trait
return result | 0.003328 |
def overall_MCC_calc(classes, table, TOP, P):
"""
Calculate Overall_MCC.
:param classes: classes
:type classes : list
:param table: input matrix
:type table : dict
:param TOP: test outcome positive
:type TOP : dict
:param P: condition positive
:type P : dict
:return: Overall_MCC as float
"""
try:
cov_x_y = 0
cov_x_x = 0
cov_y_y = 0
matrix_sum = sum(list(TOP.values()))
for i in classes:
cov_x_x += TOP[i] * (matrix_sum - TOP[i])
cov_y_y += P[i] * (matrix_sum - P[i])
cov_x_y += (table[i][i] * matrix_sum - P[i] * TOP[i])
return cov_x_y / (math.sqrt(cov_y_y * cov_x_x))
except Exception:
return "None" | 0.00133 |
async def search(self, q: str, *, types: Optional[Iterable[str]] = ['track', 'playlist', 'artist', 'album'], limit: Optional[int] = 20, offset: Optional[int] = 0, market: Optional[str] = None) -> Dict[str, List[Union[Track, Playlist, Artist, Album]]]:
"""Access the spotify search functionality.
Parameters
----------
q : str
the search query
types : Optional[Iterable[str]]
A sequence of search types (can be any of `track`, `playlist`, `artist` or `album`) to refine the search request.
A `ValueError` may be raised if a search type is found that is not valid.
limit : Optional[int]
The limit of search results to return when searching.
Maximum limit is 50, any larger may raise a :class:`HTTPException`
offset : Optional[int]
The offset from where the api should start from in the search results.
market : Optional[str]
An ISO 3166-1 alpha-2 country code. Provide this parameter if you want to apply Track Relinking.
Returns
-------
results : Dict[str, List[Union[Track, Playlist, Artist, Album]]]
The results of the search.
"""
if not hasattr(types, '__iter__'):
raise TypeError('types must be an iterable.')
elif not isinstance(types, list):
types = list(item for item in types)
types_ = set(types)
if not types_.issubset(_SEARCH_TYPES):
raise ValueError(_SEARCH_TYPE_ERR % types_.difference(_SEARCH_TYPES).pop())
kwargs = {
'q': q.replace(' ', '+'),
'queary_type': ','.join(tp.strip() for tp in types),
'market': market,
'limit': limit,
'offset': offset
}
data = await self.http.search(**kwargs)
return {key: [_TYPES[obj['type']](self, obj) for obj in value['items']] for key, value in data.items()} | 0.00458 |
def parse_host_port(host_port):
"""
Takes a string argument specifying host or host:port.
Returns a (hostname, port) or (ip_address, port) tuple. If no port is given,
the second (port) element of the returned tuple will be None.
host:port argument, for example, is accepted in the forms of:
- hostname
- hostname:1234
- hostname.domain.tld
- hostname.domain.tld:5678
- [1234::5]:5678
- 1234::5
- 10.11.12.13:4567
- 10.11.12.13
"""
host, port = None, None # default
_s_ = host_port[:]
if _s_[0] == "[":
if "]" in host_port:
host, _s_ = _s_.lstrip("[").rsplit("]", 1)
host = ipaddress.IPv6Address(host).compressed
if _s_[0] == ":":
port = int(_s_.lstrip(":"))
else:
if len(_s_) > 1:
raise ValueError('found ambiguous "{}" port in "{}"'.format(_s_, host_port))
else:
if _s_.count(":") == 1:
host, _hostport_separator_, port = _s_.partition(":")
try:
port = int(port)
except ValueError as _e_:
log.error('host_port "%s" port value "%s" is not an integer.', host_port, port)
raise _e_
else:
host = _s_
try:
if not isinstance(host, ipaddress._BaseAddress):
host_ip = ipaddress.ip_address(host).compressed
host = host_ip
except ValueError:
log.debug('"%s" Not an IP address? Assuming it is a hostname.', host)
if host != sanitize_host(host):
log.error('bad hostname: "%s"', host)
raise ValueError('bad hostname: "{}"'.format(host))
return host, port | 0.0023 |
def _validate_virtualbox(self):
'''
a method to validate that virtualbox is running on Win 7/8 machines
:return: boolean indicating whether virtualbox is running
'''
# validate operating system
if self.localhost.os.sysname != 'Windows':
return False
win_release = float(self.localhost.os.release)
if win_release >= 10.0:
return False
# validate docker-machine installation
from os import devnull
from subprocess import call, check_output, STDOUT
sys_command = 'docker-machine --help'
try:
check_output(sys_command, shell=True, stderr=STDOUT).decode('utf-8')
except Exception as err:
raise Exception('Docker requires docker-machine to run on Win7/8. GoTo: https://www.docker.com')
# validate virtualbox is running
sys_command = 'docker-machine status %s' % self.vbox
try:
vbox_status = check_output(sys_command, shell=True, stderr=open(devnull, 'wb')).decode('utf-8').replace('\n', '')
except Exception as err:
if not self.vbox:
raise Exception('Docker requires VirtualBox to run on Win7/8. GoTo: https://www.virtualbox.org')
elif self.vbox == "default":
raise Exception('Virtualbox "default" not found. Container will not start without a valid virtualbox.')
else:
raise Exception('Virtualbox "%s" not found. Try using "default" instead.' % self.vbox)
if 'Stopped' in vbox_status:
raise Exception('Virtualbox "%s" is stopped. Try first running: docker-machine start %s' % (self.vbox, self.vbox))
return True | 0.005119 |
def respond_unauthorized(self, request_authentication=False):
"""
Respond to the client that the request is unauthorized.
:param bool request_authentication: Whether to request basic authentication information by sending a WWW-Authenticate header.
"""
headers = {}
if request_authentication:
headers['WWW-Authenticate'] = 'Basic realm="' + self.__config['server_version'] + '"'
self.send_response_full(b'Unauthorized', status=401, headers=headers)
return | 0.027426 |
def get_by_id(self, institution_id, _options=None):
'''
Fetch a single institution by id.
:param str institution_id:
'''
options = _options or {}
return self.client.post_public_key('/institutions/get_by_id', {
'institution_id': institution_id,
'options': options,
}) | 0.005666 |
def search(self, start_ts, end_ts):
"""Searches through all documents and finds all documents that were
modified or deleted within the range.
Since we have very few documents in the doc dict when this is called,
linear search is fine. This method is only used by rollbacks to query
all the documents in the target engine within a certain timestamp
window. The input will be two longs (converted from Bson timestamp)
which specify the time range. The start_ts refers to the timestamp
of the last oplog entry after a rollback. The end_ts is the timestamp
of the last document committed to the backend.
"""
for _id in self.doc_dict:
entry = self.doc_dict[_id]
if entry.ts <= end_ts or entry.ts >= start_ts:
yield entry.meta_dict | 0.002342 |
def interpolate_slice(slice_rows, slice_cols, interpolator):
"""Interpolate the given slice of the larger array."""
fine_rows = np.arange(slice_rows.start, slice_rows.stop, slice_rows.step)
fine_cols = np.arange(slice_cols.start, slice_cols.stop, slice_cols.step)
return interpolator(fine_cols, fine_rows) | 0.003115 |
def put_annotation(self, key, value):
"""
Annotate segment or subsegment with a key-value pair.
Annotations will be indexed for later search query.
:param str key: annotation key
:param object value: annotation value. Any type other than
string/number/bool will be dropped
"""
self._check_ended()
if not isinstance(key, string_types):
log.warning("ignoring non string type annotation key with type %s.", type(key))
return
if not isinstance(value, annotation_value_types):
log.warning("ignoring unsupported annotation value type %s.", type(value))
return
if any(character not in _valid_annotation_key_characters for character in key):
log.warning("ignoring annnotation with unsupported characters in key: '%s'.", key)
return
self.annotations[key] = value | 0.006452 |
def get_sub_electrodes(self, adjacent_only=True):
"""
If this electrode contains multiple voltage steps, then it is possible
to use only a subset of the voltage steps to define other electrodes.
For example, an LiTiO2 electrode might contain three subelectrodes:
[LiTiO2 --> TiO2, LiTiO2 --> Li0.5TiO2, Li0.5TiO2 --> TiO2]
This method can be used to return all the subelectrodes with some
options
Args:
adjacent_only: Only return electrodes from compounds that are
adjacent on the convex hull, i.e. no electrodes returned
will have multiple voltage steps if this is set true
Returns:
A list of ConversionElectrode objects
"""
if adjacent_only:
return [self.__class__(self._vpairs[i:i + 1],
self._working_ion_entry, self._composition)
for i in range(len(self._vpairs))]
sub_electrodes = []
for i in range(len(self._vpairs)):
for j in range(i, len(self._vpairs)):
sub_electrodes.append(self.__class__(self._vpairs[i:j + 1],
self._working_ion_entry,
self._composition))
return sub_electrodes | 0.001471 |
def _getRunningApps(cls):
"""Get a list of the running applications."""
def runLoopAndExit():
AppHelper.stopEventLoop()
AppHelper.callLater(1, runLoopAndExit)
AppHelper.runConsoleEventLoop()
# Get a list of running applications
ws = AppKit.NSWorkspace.sharedWorkspace()
apps = ws.runningApplications()
return apps | 0.005115 |
def get_visible_commands(self) -> List[str]:
"""Returns a list of commands that have not been hidden or disabled."""
commands = self.get_all_commands()
# Remove the hidden commands
for name in self.hidden_commands:
if name in commands:
commands.remove(name)
# Remove the disabled commands
for name in self.disabled_commands:
if name in commands:
commands.remove(name)
return commands | 0.004016 |
def Operate(self, values):
"""Takes a list of values and if at least one matches, returns True."""
for val in values:
try:
if self.Operation(val, self.right_operand):
return True
except (TypeError, ValueError):
pass
return False | 0.014337 |
def check(self, func=None, name=None):
"""
A decorator to register a new Dockerflow check to be run
when the /__heartbeat__ endpoint is called., e.g.::
from dockerflow.flask import checks
@dockerflow.check
def storage_reachable():
try:
acme.storage.ping()
except SlowConnectionException as exc:
return [checks.Warning(exc.msg, id='acme.health.0002')]
except StorageException as exc:
return [checks.Error(exc.msg, id='acme.health.0001')]
or using a custom name::
@dockerflow.check(name='acme-storage-check)
def storage_reachable():
# ...
"""
if func is None:
return functools.partial(self.check, name=name)
if name is None:
name = func.__name__
self.logger.info('Registered Dockerflow check %s', name)
@functools.wraps(func)
def decorated_function(*args, **kwargs):
self.logger.info('Called Dockerflow check %s', name)
return func(*args, **kwargs)
self.checks[name] = decorated_function
return decorated_function | 0.001603 |
def record(self, i=0):
"""Returns a specific dbf record based on the supplied index."""
f = self.__getFileObj(self.dbf)
if not self.numRecords:
self.__dbfHeader()
i = self.__restrictIndex(i)
recSize = self.__recordFmt()[1]
f.seek(0)
f.seek(self.__dbfHeaderLength() + (i * recSize))
return self.__record() | 0.005141 |
def from_json(cls, json_moc):
"""
Creates a MOC from a dictionary of HEALPix cell arrays indexed by their depth.
Parameters
----------
json_moc : dict(str : [int]
A dictionary of HEALPix cell arrays indexed by their depth.
Returns
-------
moc : `~mocpy.moc.MOC` or `~mocpy.tmoc.TimeMOC`
the MOC.
"""
intervals = np.array([])
for order, pix_l in json_moc.items():
if len(pix_l) == 0:
continue
pix = np.array(pix_l)
p1 = pix
p2 = pix + 1
shift = 2 * (AbstractMOC.HPY_MAX_NORDER - int(order))
itv = np.vstack((p1 << shift, p2 << shift)).T
if intervals.size == 0:
intervals = itv
else:
intervals = np.vstack((intervals, itv))
return cls(IntervalSet(intervals)) | 0.003247 |
def set_mindays(name, mindays):
'''
Set the minimum number of days between password changes. See man passwd.
CLI Example:
.. code-block:: bash
salt '*' shadow.set_mindays username 7
'''
pre_info = info(name)
if mindays == pre_info['min']:
return True
cmd = 'passwd -n {0} {1}'.format(mindays, name)
__salt__['cmd.run'](cmd, python_shell=False)
post_info = info(name)
if post_info['min'] != pre_info['min']:
return post_info['min'] == mindays
return False | 0.00189 |
def login(username=None, password=None):
"""
Log in to PNC using the supplied username and password. The keycloak token will
be saved for all subsequent pnc-cli operations until login is called again
:return:
"""
global user
user = UserConfig()
if username:
user.username = username
else:
user.username = user.input_username()
if password:
user.password = password
else:
user.password = user.input_password()
if (not ( user.username and user.password) ):
logging.error("Username and password must be provided for login")
return;
user.retrieve_keycloak_token()
user.apiclient = user.create_api_client()
save() | 0.006964 |
def hashify_targets(targets: list, build_context) -> list:
"""Return sorted hashes of `targets`."""
return sorted(build_context.targets[target_name].hash(build_context)
for target_name in listify(targets)) | 0.004329 |
def fetch_project(self, project_id):
"""Fetch an existing project and it's relevant metadata by ID.
.. note::
If the project does not exist, this will raise a
:class:`NotFound <google.cloud.exceptions.NotFound>` error.
:type project_id: str
:param project_id: The ID for this project.
:rtype: :class:`~google.cloud.resource_manager.project.Project`
:returns: A :class:`~google.cloud.resource_manager.project.Project`
with metadata fetched from the API.
"""
project = self.new_project(project_id)
project.reload()
return project | 0.003063 |
def find_best_step(err_vals):
"""
Returns the index of the lowest of the passed values. Catches nans etc.
"""
if np.all(np.isnan(err_vals)):
raise ValueError('All err_vals are nans!')
return np.nanargmin(err_vals) | 0.004149 |
def dumps(obj, **kwargs):
"""
Serialize `obj`, which may contain :class:`JsonRef` objects, to a JSON
formatted string. `JsonRef` objects will be dumped as the original
reference object they were created from.
:param obj: Object to serialize
:param kwargs: Keyword arguments are the same as to :func:`json.dumps`
"""
kwargs["cls"] = _ref_encoder_factory(kwargs.get("cls", json.JSONEncoder))
return json.dumps(obj, **kwargs) | 0.002174 |
def _did_timeout(self):
""" Called when a resquest has timeout """
bambou_logger.debug('Bambou %s on %s has timeout (timeout=%ss)..' % (self._request.method, self._request.url, self.timeout))
self._has_timeouted = True
if self.async:
self._callback(self)
else:
return self | 0.011834 |
def numpymat2df(mat):
"""
Sometimes (though not very often) it is useful to convert a numpy matrix
which has no column names to a Pandas dataframe for use of the Pandas
functions. This method converts a 2D numpy matrix to Pandas dataframe
with default column headers.
Parameters
----------
mat : The numpy matrix
Returns
-------
A pandas dataframe with the same data as the input matrix but with columns
named x0, x1, ... x[n-1] for the number of columns.
"""
return pd.DataFrame(
dict(('x%d' % i, mat[:, i]) for i in range(mat.shape[1]))) | 0.001647 |
async def get(self, request, resource=None, **kwargs):
"""Get resource or collection of resources.
---
parameters:
- name: resource
in: path
type: string
"""
if resource is not None and resource != '':
return self.to_simple(request, resource, **kwargs)
return self.to_simple(request, self.collection, many=True, **kwargs) | 0.004717 |
def draw_court(ax=None, color='gray', lw=1, outer_lines=False):
"""Returns an axes with a basketball court drawn onto to it.
This function draws a court based on the x and y-axis values that the NBA
stats API provides for the shot chart data. For example the center of the
hoop is located at the (0,0) coordinate. Twenty-two feet from the left of
the center of the hoop in is represented by the (-220,0) coordinates.
So one foot equals +/-10 units on the x and y-axis.
Parameters
----------
ax : Axes, optional
The Axes object to plot the court onto.
color : matplotlib color, optional
The color of the court lines.
lw : float, optional
The linewidth the of the court lines.
outer_lines : boolean, optional
If `True` it draws the out of bound lines in same style as the rest of
the court.
Returns
-------
ax : Axes
The Axes object with the court on it.
"""
if ax is None:
ax = plt.gca()
# Create the various parts of an NBA basketball court
# Create the basketball hoop
hoop = Circle((0, 0), radius=7.5, linewidth=lw, color=color, fill=False)
# Create backboard
backboard = Rectangle((-30, -12.5), 60, 0, linewidth=lw, color=color)
# The paint
# Create the outer box 0f the paint, width=16ft, height=19ft
outer_box = Rectangle((-80, -47.5), 160, 190, linewidth=lw, color=color,
fill=False)
# Create the inner box of the paint, widt=12ft, height=19ft
inner_box = Rectangle((-60, -47.5), 120, 190, linewidth=lw, color=color,
fill=False)
# Create free throw top arc
top_free_throw = Arc((0, 142.5), 120, 120, theta1=0, theta2=180,
linewidth=lw, color=color, fill=False)
# Create free throw bottom arc
bottom_free_throw = Arc((0, 142.5), 120, 120, theta1=180, theta2=0,
linewidth=lw, color=color, linestyle='dashed')
# Restricted Zone, it is an arc with 4ft radius from center of the hoop
restricted = Arc((0, 0), 80, 80, theta1=0, theta2=180, linewidth=lw,
color=color)
# Three point line
# Create the right side 3pt lines, it's 14ft long before it arcs
corner_three_a = Rectangle((-220, -47.5), 0, 140, linewidth=lw,
color=color)
# Create the right side 3pt lines, it's 14ft long before it arcs
corner_three_b = Rectangle((220, -47.5), 0, 140, linewidth=lw, color=color)
# 3pt arc - center of arc will be the hoop, arc is 23'9" away from hoop
three_arc = Arc((0, 0), 475, 475, theta1=22, theta2=158, linewidth=lw,
color=color)
# Center Court
center_outer_arc = Arc((0, 422.5), 120, 120, theta1=180, theta2=0,
linewidth=lw, color=color)
center_inner_arc = Arc((0, 422.5), 40, 40, theta1=180, theta2=0,
linewidth=lw, color=color)
# List of the court elements to be plotted onto the axes
court_elements = [hoop, backboard, outer_box, inner_box, top_free_throw,
bottom_free_throw, restricted, corner_three_a,
corner_three_b, three_arc, center_outer_arc,
center_inner_arc]
if outer_lines:
# Draw the half court line, baseline and side out bound lines
outer_lines = Rectangle((-250, -47.5), 500, 470, linewidth=lw,
color=color, fill=False)
court_elements.append(outer_lines)
# Add the court elements onto the axes
for element in court_elements:
ax.add_patch(element)
return ax | 0.00027 |
def init(name, *args, **kwargs):
"""Instantiate a timeframe from the catalog.
"""
if name in _TIMEFRAME_CATALOG:
if rapport.config.get_int("rapport", "verbosity") >= 2:
print("Initialize timeframe {0}: {1} {2}".format(name, args, kwargs))
try:
return _TIMEFRAME_CATALOG[name](*args, **kwargs)
except ValueError as e:
print("Failed to initialize timeframe {0}: {1}!".format(name, e), file=sys.stderr)
else:
print("Failed to initialize timeframe {0}: Not in catalog!".format(name), file=sys.stderr)
sys.exit(1) | 0.006667 |
def line_to(self, x, y):
"""Adds a line to the path from the current point
to position ``(x, y)`` in user-space coordinates.
After this call the current point will be ``(x, y)``.
If there is no current point before the call to :meth:`line_to`
this method will behave as ``context.move_to(x, y)``.
:param x: X coordinate of the end of the new line.
:param y: Y coordinate of the end of the new line.
:type float: x
:type float: y
"""
cairo.cairo_line_to(self._pointer, x, y)
self._check_status() | 0.003373 |
def setup_actions(self):
""" Connects slots to signals """
self.actionOpen.triggered.connect(self.on_open)
self.actionNew.triggered.connect(self.on_new)
self.actionSave.triggered.connect(self.on_save)
self.actionSave_as.triggered.connect(self.on_save_as)
self.actionQuit.triggered.connect(QtWidgets.QApplication.instance().quit)
self.tabWidget.current_changed.connect(
self.on_current_tab_changed)
self.actionAbout.triggered.connect(self.on_about) | 0.005736 |
def _get_locations(self, calc):
"""Locate locations within the profile."""
return (self._location_in(calc.profile),
self._location_out(calc.profile)) | 0.01105 |
def controls(self, timeline_slider_args={}, toggle_args={}):
"""Creates interactive controls for the animation
Creates both a play/pause button, and a time slider at once
Parameters
----------
timeline_slider_args : Dict, optional
A dictionary of arguments to be passed to timeline_slider()
toggle_args : Dict, optional
A dictionary of argyments to be passed to toggle()
"""
self.timeline_slider(**timeline_slider_args)
self.toggle(**toggle_args) | 0.003676 |
def setup(self):
"""
Do any setup work needed to run i3status modules
"""
for conf_name in self.py3_config["i3s_modules"]:
module = I3statusModule(conf_name, self)
self.i3modules[conf_name] = module
if module.is_time_module:
self.time_modules.append(module) | 0.005865 |
def export_module_spec(spec, path, checkpoint_path, name_transform_fn):
"""Helper function to ModuleSpec.export()."""
with tf.Graph().as_default():
m = Module(spec)
assign_map = {
name_transform_fn(name): value for name, value in m.variable_map.items()
}
tf_v1.train.init_from_checkpoint(checkpoint_path, assign_map)
init_op = tf_v1.initializers.global_variables()
with tf_v1.Session() as session:
session.run(init_op)
m.export(path, session) | 0.012245 |
def create_service(self, *args, **kwargs):
"""Create a service to current scope.
See :class:`pykechain.Client.create_service` for available parameters.
.. versionadded:: 1.13
"""
return self._client.create_service(*args, scope=self.id, **kwargs) | 0.006969 |
def update_endpoint(self, updated_ed):
"""
Update a previously advertised endpoint_description.
:param endpoint_description: an instance of EndpointDescription to
update. Must not be None.
:return: True if advertised, False if not
(e.g. it's already been advertised)
"""
endpoint_id = updated_ed.get_id()
with self._published_endpoints_lock:
if self.get_advertised_endpoint(endpoint_id) is None:
return False
advertise_result = self._update(updated_ed)
if advertise_result:
self._remove_advertised(endpoint_id)
self._add_advertised(updated_ed, advertise_result)
return True
return False | 0.002587 |
def perform_command(self):
"""
Perform command and return the appropriate exit code.
:rtype: int
"""
if len(self.actual_arguments) < 1:
return self.print_help()
audio_file_path = self.actual_arguments[0]
try:
audiofile = AudioFile(audio_file_path, rconf=self.rconf, logger=self.logger)
audiofile.read_properties()
if self.has_option([u"-f", u"--full"]):
audiofile.read_samples_from_file()
self.print_generic(audiofile.__unicode__())
return self.NO_ERROR_EXIT_CODE
except OSError:
self.print_error(u"Cannot read file '%s'" % (audio_file_path))
self.print_error(u"Make sure the input file path is written/escaped correctly")
except AudioFileProbeError:
self.print_error(u"Unable to call the ffprobe executable '%s'" % (self.rconf[RuntimeConfiguration.FFPROBE_PATH]))
self.print_error(u"Make sure the path to ffprobe is correct")
except AudioFileUnsupportedFormatError:
self.print_error(u"Cannot read properties of file '%s'" % (audio_file_path))
self.print_error(u"Make sure the input file has a format supported by ffprobe")
return self.ERROR_EXIT_CODE | 0.005376 |
def inv(z: int) -> int:
"""$= z^{-1} mod q$, for z != 0"""
# Adapted from curve25519_athlon.c in djb's Curve25519.
z2 = z * z % q # 2
z9 = pow2(z2, 2) * z % q # 9
z11 = z9 * z2 % q # 11
z2_5_0 = (z11 * z11) % q * z9 % q # 31 == 2^5 - 2^0
z2_10_0 = pow2(z2_5_0, 5) * z2_5_0 % q # 2^10 - 2^0
z2_20_0 = pow2(z2_10_0, 10) * z2_10_0 % q # ...
z2_40_0 = pow2(z2_20_0, 20) * z2_20_0 % q
z2_50_0 = pow2(z2_40_0, 10) * z2_10_0 % q
z2_100_0 = pow2(z2_50_0, 50) * z2_50_0 % q
z2_200_0 = pow2(z2_100_0, 100) * z2_100_0 % q
z2_250_0 = pow2(z2_200_0, 50) * z2_50_0 % q # 2^250 - 2^0
return pow2(z2_250_0, 5) * z11 % q | 0.001502 |
def IP_verified(directory,
extensions_to_ignore=None,
directories_to_ignore=None,
files_to_ignore=None,
verbose=False):
"""Find and audit potential data files that might violate IP
This is the public function to be used to ascertain that
all data in the specified directory tree has been audited according
to the GA data IP tracking process.
if IP_verified is False:
# Stop and take remedial action
...
else:
# Proceed boldly with confidence
verbose controls standard output.
If verbose is False, only diagnostics about failed audits will appear.
All files that check OK will pass silently.
Optional arguments extensions_to_ignore, directories_to_ignore, and
files_to_ignore are lists of things to skip.
Examples are:
extensions_to_ignore = ['.py','.c','.h', '.f'] # Ignore source code
files_to_ignore = ['README.txt']
directories_to_ignore = ['.svn', 'misc']
None is also OK for these parameters.
"""
# Identify data files
oldpath = None
all_files = 0
ok_files = 0
all_files_accounted_for = True
for dirpath, filename in identify_datafiles(directory,
extensions_to_ignore,
directories_to_ignore,
files_to_ignore):
if oldpath != dirpath:
# Decide if dir header needs to be printed
oldpath = dirpath
first_time_this_dir = True
all_files += 1
basename, ext = splitext(filename)
license_filename = join(dirpath, basename + '.lic')
# Look for a XML license file with the .lic
status = 'OK'
try:
fid = open(license_filename)
except IOError:
status = 'NO LICENSE FILE'
all_files_accounted_for = False
else:
fid.close()
try:
license_file_is_valid(license_filename,
filename,
dirpath,
verbose=False)
except audit_exceptions, e:
all_files_accounted_for = False
status = 'LICENSE FILE NOT VALID\n'
status += 'REASON: %s\n' %e
try:
doc = xml2object(license_filename)
except:
status += 'XML file %s could not be read:'\
%license_filename
fid = open(license_filename)
status += fid.read()
fid.close()
else:
pass
#if verbose is True:
# status += str(doc)
if status == 'OK':
ok_files += 1
else:
# Only print status if there is a problem (no news is good news)
if first_time_this_dir is True:
print
msg = ('Files without licensing info in dir: %s'
% dirpath)
print '.' * len(msg)
print msg
print '.' * len(msg)
first_time_this_dir = False
print filename + ' (Checksum = %s): '\
%str(compute_checksum(join(dirpath, filename))),\
status
if verbose is True:
print
print '---------------------'
print 'Audit result for dir: %s:' %directory
print '---------------------'
print 'Number of files audited: %d' %(all_files)
print 'Number of files verified: %d' %(ok_files)
print
# Return result
return all_files_accounted_for | 0.004431 |
def draw(self, size=None, background_threshold=0.01, background_class_id=None, colors=None,
return_foreground_mask=False):
"""
Render the segmentation map as an RGB image.
Parameters
----------
size : None or float or iterable of int or iterable of float, optional
Size of the rendered RGB image as ``(height, width)``.
See :func:`imgaug.imgaug.imresize_single_image` for details.
If set to None, no resizing is performed and the size of the segmentation map array is used.
background_threshold : float, optional
See :func:`imgaug.SegmentationMapOnImage.get_arr_int`.
background_class_id : None or int, optional
See :func:`imgaug.SegmentationMapOnImage.get_arr_int`.
colors : None or list of tuple of int, optional
Colors to use. One for each class to draw. If None, then default colors will be used.
return_foreground_mask : bool, optional
Whether to return a mask of the same size as the drawn segmentation map, containing
True at any spatial location that is not the background class and False everywhere else.
Returns
-------
segmap_drawn : (H,W,3) ndarray
Rendered segmentation map (dtype is uint8).
foreground_mask : (H,W) ndarray
Mask indicating the locations of foreground classes (dtype is bool).
This value is only returned if `return_foreground_mask` is True.
"""
arr = self.get_arr_int(background_threshold=background_threshold, background_class_id=background_class_id)
nb_classes = 1 + np.max(arr)
segmap_drawn = np.zeros((arr.shape[0], arr.shape[1], 3), dtype=np.uint8)
if colors is None:
colors = SegmentationMapOnImage.DEFAULT_SEGMENT_COLORS
ia.do_assert(nb_classes <= len(colors),
"Can't draw all %d classes as it would exceed the maximum number of %d available colors." % (
nb_classes, len(colors),))
ids_in_map = np.unique(arr)
for c, color in zip(sm.xrange(nb_classes), colors):
if c in ids_in_map:
class_mask = (arr == c)
segmap_drawn[class_mask] = color
if return_foreground_mask:
background_class_id = 0 if background_class_id is None else background_class_id
foreground_mask = (arr != background_class_id)
else:
foreground_mask = None
if size is not None:
segmap_drawn = ia.imresize_single_image(segmap_drawn, size, interpolation="nearest")
if foreground_mask is not None:
foreground_mask = ia.imresize_single_image(
foreground_mask.astype(np.uint8), size, interpolation="nearest") > 0
if foreground_mask is not None:
return segmap_drawn, foreground_mask
return segmap_drawn | 0.005045 |
def entry_point(args=None, configuration=None):
"""
Standard entry point for the docker interface CLI.
Parameters
----------
args : list or None
list of command line arguments or `None` to use `sys.argv`
configuration : dict
parsed configuration or `None` to load and build a configuration given the command line
arguments
Raises
------
SystemExit
if the configuration is malformed or the docker subprocesses returns a non-zero status code
"""
# Parse basic information
parser = argparse.ArgumentParser('di')
base = BasePlugin()
base.add_arguments(parser)
args, remainder = parser.parse_known_args(args)
command = args.command
configuration = base.apply(configuration, None, args)
logger = logging.getLogger('di')
# Load all plugins and en/disable as desired
plugin_cls = Plugin.load_plugins()
plugins = configuration.get('plugins')
if isinstance(plugins, list):
plugins = [plugin_cls[name.lower()] for name in plugins]
else:
# Disable and enable specific plugins
if isinstance(plugins, dict):
try:
for name in plugins.get('enable', []):
plugin_cls[name.lower()].ENABLED = True
for name in plugins.get('disable', []):
plugin_cls[name.lower()].ENABLED = False
except KeyError as ex: # pragma: no cover
logger.fatal("could not resolve plugin %s. Available plugins: %s",
ex, ", ".join(plugin_cls))
raise SystemExit(2)
elif plugins is not None: # pragma: no cover
logger.fatal("'plugins' must be a `list`, `dict`, or `None` but got `%s`",
type(plugins))
raise SystemExit(2)
# Restrict plugins to enabled ones
plugins = list(sorted([cls() for cls in plugin_cls.values() if cls.ENABLED],
key=lambda x: x.ORDER))
# Construct the schema
schema = base.SCHEMA
for cls in plugin_cls.values():
schema = util.merge(schema, cls.SCHEMA)
# Ensure that the plugins are relevant to the command
plugins = [plugin for plugin in plugins
if plugin.COMMANDS == 'all' or command in plugin.COMMANDS]
parser = argparse.ArgumentParser('di %s' % command)
for plugin in plugins:
plugin.add_arguments(parser)
args = parser.parse_args(remainder)
# Apply defaults
util.set_default_from_schema(configuration, schema)
# Apply all the plugins in order
status_code = 0
logger.debug("configuration:\n%s", json.dumps(configuration, indent=4))
for plugin in plugins:
logger.debug("applying plugin '%s'", plugin)
try:
configuration = plugin.apply(configuration, schema, args)
assert configuration is not None, "plugin '%s' returned `None`" % plugin
except Exception as ex: # pragma: no cover
logger.exception("failed to apply plugin '%s': %s", plugin, ex)
message = "please rerun the command using `di --log-level debug` and file a new " \
"issue containing the output of the command here: https://github.com/" \
"spotify/docker_interface/issues/new"
logger.fatal("\033[%dm%s\033[0m", 31, message)
status_code = 3
break
logger.debug("configuration:\n%s", json.dumps(configuration, indent=4))
for plugin in reversed(plugins):
logger.debug("tearing down plugin '%s'", plugin)
plugin.cleanup()
status_code = configuration.get('status-code', status_code)
if status_code:
raise SystemExit(status_code) | 0.002401 |
def _on_channel_open(self, channel):
"""
Callback used when a channel is opened.
This registers all the channel callbacks.
Args:
channel (pika.channel.Channel): The channel that successfully opened.
"""
channel.add_on_close_callback(self._on_channel_close)
channel.add_on_cancel_callback(self._on_cancel)
channel.basic_qos(callback=self._on_qosok, **config.conf["qos"]) | 0.006696 |
def _show_prompt(self, prompt=None, html=False, newline=True):
""" Writes a new prompt at the end of the buffer.
Parameters
----------
prompt : str, optional
The prompt to show. If not specified, the previous prompt is used.
html : bool, optional (default False)
Only relevant when a prompt is specified. If set, the prompt will
be inserted as formatted HTML. Otherwise, the prompt will be treated
as plain text, though ANSI color codes will be handled.
newline : bool, optional (default True)
If set, a new line will be written before showing the prompt if
there is not already a newline at the end of the buffer.
"""
# Save the current end position to support _append*(before_prompt=True).
cursor = self._get_end_cursor()
self._append_before_prompt_pos = cursor.position()
# Insert a preliminary newline, if necessary.
if newline and cursor.position() > 0:
cursor.movePosition(QtGui.QTextCursor.Left,
QtGui.QTextCursor.KeepAnchor)
if cursor.selection().toPlainText() != '\n':
self._append_plain_text('\n')
# Write the prompt.
self._append_plain_text(self._prompt_sep)
if prompt is None:
if self._prompt_html is None:
self._append_plain_text(self._prompt)
else:
self._append_html(self._prompt_html)
else:
if html:
self._prompt = self._append_html_fetching_plain_text(prompt)
self._prompt_html = prompt
else:
self._append_plain_text(prompt)
self._prompt = prompt
self._prompt_html = None
self._prompt_pos = self._get_end_cursor().position()
self._prompt_started() | 0.002087 |
def __version(client):
'''
Grab DRAC version
'''
versions = {9: 'CMC',
8: 'iDRAC6',
10: 'iDRAC6',
11: 'iDRAC6',
16: 'iDRAC7',
17: 'iDRAC7'}
if isinstance(client, paramiko.SSHClient):
(stdin, stdout, stderr) = client.exec_command('racadm getconfig -g idRacInfo')
for i in stdout.readlines():
if i[2:].startswith('idRacType'):
return versions.get(int(i[2:].split('=')[1]), None)
return None | 0.003711 |
async def edit(self, *, reason=None, **options):
"""|coro|
Edits the channel.
You must have the :attr:`~Permissions.manage_channels` permission to
use this.
Parameters
----------
name: :class:`str`
The new category's name.
position: :class:`int`
The new category's position.
nsfw: :class:`bool`
To mark the category as NSFW or not.
reason: Optional[:class:`str`]
The reason for editing this category. Shows up on the audit log.
Raises
------
InvalidArgument
If position is less than 0 or greater than the number of categories.
Forbidden
You do not have permissions to edit the category.
HTTPException
Editing the category failed.
"""
try:
position = options.pop('position')
except KeyError:
pass
else:
await self._move(position, reason=reason)
self.position = position
if options:
data = await self._state.http.edit_channel(self.id, reason=reason, **options)
self._update(self.guild, data) | 0.003303 |
def delete_many(cls, documents):
"""Delete multiple documents"""
# Ensure all documents have been converted to frames
frames = cls._ensure_frames(documents)
all_count = len(documents)
assert len([f for f in frames if '_id' in f._document]) == all_count, \
"Can't delete documents without `_id`s"
# Send delete signal
signal('delete').send(cls, frames=frames)
# Prepare the documents to be deleted
ids = [f._id for f in frames]
# Delete the documents
cls.get_collection().delete_many({'_id': {'$in': ids}})
# Send deleted signal
signal('deleted').send(cls, frames=frames) | 0.00431 |
def fit_multinest(self, n_live_points=1000, basename=None,
verbose=True, refit=False, overwrite=False,
test=False,
**kwargs):
"""
Fits model using MultiNest, via pymultinest.
:param n_live_points:
Number of live points to use for MultiNest fit.
:param basename:
Where the MulitNest-generated files will live.
By default this will be in a folder named `chains`
in the current working directory. Calling this
will define a `_mnest_basename` attribute for
this object.
:param verbose:
Whether you want MultiNest to talk to you.
:param refit, overwrite:
Set either of these to true if you want to
delete the MultiNest files associated with the
given basename and start over.
:param **kwargs:
Additional keyword arguments will be passed to
:func:`pymultinest.run`.
"""
if basename is not None: #Should this even be allowed?
self.mnest_basename = basename
basename = self.mnest_basename
if verbose:
logging.info('MultiNest basename: {}'.format(basename))
folder = os.path.abspath(os.path.dirname(basename))
if not os.path.exists(folder):
os.makedirs(folder)
#If previous fit exists, see if it's using the same
# observed properties
prop_nomatch = False
propfile = '{}properties.json'.format(basename)
"""
if os.path.exists(propfile):
with open(propfile) as f:
props = json.load(f)
if set(props.keys()) != set(self.properties.keys()):
prop_nomatch = True
else:
for k,v in props.items():
if np.size(v)==2:
if not self.properties[k][0] == v[0] and \
self.properties[k][1] == v[1]:
props_nomatch = True
else:
if not self.properties[k] == v:
props_nomatch = True
if prop_nomatch and not overwrite:
raise ValueError('Properties not same as saved chains ' +
'(basename {}*). '.format(basename) +
'Use overwrite=True to fit.')
"""
if refit or overwrite:
files = glob.glob('{}*'.format(basename))
[os.remove(f) for f in files]
short_basename = self._mnest_basename
mnest_kwargs = dict(n_live_points=n_live_points, outputfiles_basename=short_basename,
verbose=verbose)
for k,v in kwargs.items():
mnest_kwargs[k] = v
if test:
print('pymultinest.run() with the following kwargs: {}'.format(mnest_kwargs))
else:
wd = os.getcwd()
os.chdir(os.path.join(folder, '..'))
pymultinest.run(self.mnest_loglike, self.mnest_prior, self.n_params,
**mnest_kwargs)
os.chdir(wd)
#with open(propfile, 'w') as f:
# json.dump(self.properties, f, indent=2)
self._make_samples() | 0.004496 |
def print_value(value: Any, type_: GraphQLInputType) -> str:
"""Convenience function for printing a Python value"""
return print_ast(ast_from_value(value, type_)) | 0.005882 |
def _parse_guild_members(self, parsed_content):
"""
Parses the guild's member and invited list.
Parameters
----------
parsed_content: :class:`bs4.Tag`
The parsed content of the guild's page
"""
member_rows = parsed_content.find_all("tr", {'bgcolor': ["#D4C0A1", "#F1E0C6"]})
previous_rank = {}
for row in member_rows:
columns = row.find_all('td')
values = tuple(c.text.replace("\u00a0", " ") for c in columns)
if len(columns) == COLS_GUILD_MEMBER:
self._parse_current_member(previous_rank, values)
if len(columns) == COLS_INVITED_MEMBER:
self._parse_invited_member(values) | 0.004071 |
def readline(self, size=None):
"""Read a single line from rfile buffer and return it.
Args:
size (int): minimum amount of data to read
Returns:
bytes: One line from rfile.
"""
if size is not None:
data = self.rfile.readline(size)
self.bytes_read += len(data)
self._check_length()
return data
# User didn't specify a size ...
# We read the line in chunks to make sure it's not a 100MB line !
res = []
while True:
data = self.rfile.readline(256)
self.bytes_read += len(data)
self._check_length()
res.append(data)
# See https://github.com/cherrypy/cherrypy/issues/421
if len(data) < 256 or data[-1:] == LF:
return EMPTY.join(res) | 0.00232 |
def lookup_subclass(cls, d):
"""Look up a class based on a serialized dictionary containing a typeid
Args:
d (dict): Dictionary with key "typeid"
Returns:
Serializable subclass
"""
try:
typeid = d["typeid"]
except KeyError:
raise FieldError("typeid not present in keys %s" % list(d))
subclass = cls._subcls_lookup.get(typeid, None)
if not subclass:
raise FieldError("'%s' not a valid typeid" % typeid)
else:
return subclass | 0.003509 |
def return_hdr(self):
"""Return the header for further use.
Returns
-------
subj_id : str
subject identification code
start_time : datetime
start time of the dataset
s_freq : float
sampling frequency
chan_name : list of str
list of all the channels
n_samples : int
number of samples in the dataset
orig : dict
additional information taken directly from the header
Notes
-----
It only reads hdf5 matlab files and the VARiable needs to be called
'data'
h5py is necessary for this function
"""
# fieldtrip does not have this information
orig = dict()
subj_id = str()
start_time = datetime.fromordinal(1) # fake
try:
ft_data = loadmat(self.filename, struct_as_record=True,
squeeze_me=True)
if VAR not in ft_data:
raise KeyError('Save the FieldTrip variable as ''{}'''
''.format(VAR))
ft_data = ft_data[VAR]
s_freq = ft_data['fsample'].astype('float64').item()
n_samples = ft_data['trial'].item().shape[1]
chan_name = list(ft_data['label'].item())
except NotImplementedError:
with File(self.filename) as f:
if VAR not in f.keys():
raise KeyError('Save the FieldTrip variable as ''{}'''
''.format(VAR))
s_freq = int(f[VAR]['fsample'].value.squeeze())
chan_name = read_hdf5_chan_name(f, f[VAR]['label'])
n_samples = int(around(f[f[VAR]['trial'][0].item()].shape[0]))
return subj_id, start_time, s_freq, chan_name, n_samples, orig | 0.001074 |
def DataRefreshRequired(self, path=None, last=None):
"""True if we need to update this path from the client.
Args:
path: The path relative to the root to check freshness of.
last: An aff4:last attribute to check freshness of.
At least one of path or last must be supplied.
Returns:
True if the path hasn't been updated in the last
self.max_age_before_refresh seconds, else False.
Raises:
type_info.TypeValueError: If no arguments are supplied.
"""
# If we didn't get given a last attribute, use the path to get one from the
# object.
if last is None:
if path is None:
# If we didn't get a path either, we can't do anything.
raise type_info.TypeValueError("Either 'path' or 'last' must"
" be supplied as an argument.")
fd = aff4.FACTORY.Open(self.root.Add(path), token=self.token)
# We really care about the last time the stat was updated, so we use
# this instead of the LAST attribute, which is the last time anything
# was updated about the object.
stat_obj = fd.Get(fd.Schema.STAT)
if stat_obj:
last = stat_obj.age
else:
last = rdfvalue.RDFDatetime(0)
# If the object doesn't even have a LAST attribute by this point,
# we say it hasn't been accessed within the cache expiry time.
if last is None:
return True
last = last.AsDatetime()
# Remember to use UTC time, since that's what the datastore uses.
return datetime.datetime.utcnow() - last > self.max_age_before_refresh | 0.006254 |
def chu_liu_edmonds(length: int,
score_matrix: numpy.ndarray,
current_nodes: List[bool],
final_edges: Dict[int, int],
old_input: numpy.ndarray,
old_output: numpy.ndarray,
representatives: List[Set[int]]):
"""
Applies the chu-liu-edmonds algorithm recursively
to a graph with edge weights defined by score_matrix.
Note that this function operates in place, so variables
will be modified.
Parameters
----------
length : ``int``, required.
The number of nodes.
score_matrix : ``numpy.ndarray``, required.
The score matrix representing the scores for pairs
of nodes.
current_nodes : ``List[bool]``, required.
The nodes which are representatives in the graph.
A representative at it's most basic represents a node,
but as the algorithm progresses, individual nodes will
represent collapsed cycles in the graph.
final_edges: ``Dict[int, int]``, required.
An empty dictionary which will be populated with the
nodes which are connected in the maximum spanning tree.
old_input: ``numpy.ndarray``, required.
old_output: ``numpy.ndarray``, required.
representatives : ``List[Set[int]]``, required.
A list containing the nodes that a particular node
is representing at this iteration in the graph.
Returns
-------
Nothing - all variables are modified in place.
"""
# Set the initial graph to be the greedy best one.
parents = [-1]
for node1 in range(1, length):
parents.append(0)
if current_nodes[node1]:
max_score = score_matrix[0, node1]
for node2 in range(1, length):
if node2 == node1 or not current_nodes[node2]:
continue
new_score = score_matrix[node2, node1]
if new_score > max_score:
max_score = new_score
parents[node1] = node2
# Check if this solution has a cycle.
has_cycle, cycle = _find_cycle(parents, length, current_nodes)
# If there are no cycles, find all edges and return.
if not has_cycle:
final_edges[0] = -1
for node in range(1, length):
if not current_nodes[node]:
continue
parent = old_input[parents[node], node]
child = old_output[parents[node], node]
final_edges[child] = parent
return
# Otherwise, we have a cycle so we need to remove an edge.
# From here until the recursive call is the contraction stage of the algorithm.
cycle_weight = 0.0
# Find the weight of the cycle.
index = 0
for node in cycle:
index += 1
cycle_weight += score_matrix[parents[node], node]
# For each node in the graph, find the maximum weight incoming
# and outgoing edge into the cycle.
cycle_representative = cycle[0]
for node in range(length):
if not current_nodes[node] or node in cycle:
continue
in_edge_weight = float("-inf")
in_edge = -1
out_edge_weight = float("-inf")
out_edge = -1
for node_in_cycle in cycle:
if score_matrix[node_in_cycle, node] > in_edge_weight:
in_edge_weight = score_matrix[node_in_cycle, node]
in_edge = node_in_cycle
# Add the new edge score to the cycle weight
# and subtract the edge we're considering removing.
score = (cycle_weight +
score_matrix[node, node_in_cycle] -
score_matrix[parents[node_in_cycle], node_in_cycle])
if score > out_edge_weight:
out_edge_weight = score
out_edge = node_in_cycle
score_matrix[cycle_representative, node] = in_edge_weight
old_input[cycle_representative, node] = old_input[in_edge, node]
old_output[cycle_representative, node] = old_output[in_edge, node]
score_matrix[node, cycle_representative] = out_edge_weight
old_output[node, cycle_representative] = old_output[node, out_edge]
old_input[node, cycle_representative] = old_input[node, out_edge]
# For the next recursive iteration, we want to consider the cycle as a
# single node. Here we collapse the cycle into the first node in the
# cycle (first node is arbitrary), set all the other nodes not be
# considered in the next iteration. We also keep track of which
# representatives we are considering this iteration because we need
# them below to check if we're done.
considered_representatives: List[Set[int]] = []
for i, node_in_cycle in enumerate(cycle):
considered_representatives.append(set())
if i > 0:
# We need to consider at least one
# node in the cycle, arbitrarily choose
# the first.
current_nodes[node_in_cycle] = False
for node in representatives[node_in_cycle]:
considered_representatives[i].add(node)
if i > 0:
representatives[cycle_representative].add(node)
chu_liu_edmonds(length, score_matrix, current_nodes, final_edges, old_input, old_output, representatives)
# Expansion stage.
# check each node in cycle, if one of its representatives
# is a key in the final_edges, it is the one we need.
found = False
key_node = -1
for i, node in enumerate(cycle):
for cycle_rep in considered_representatives[i]:
if cycle_rep in final_edges:
key_node = node
found = True
break
if found:
break
previous = parents[key_node]
while previous != key_node:
child = old_output[parents[previous], previous]
parent = old_input[parents[previous], previous]
final_edges[child] = parent
previous = parents[previous] | 0.000498 |
Subsets and Splits