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sdispater/orator | orator/orm/collection.py | https://github.com/sdispater/orator/blob/bd90bf198ee897751848f9a92e49d18e60a74136/orator/orm/collection.py#L7-L16 | def load(self, *relations):
"""
Load a set of relationships onto the collection.
"""
if len(self.items) > 0:
query = self.first().new_query().with_(*relations)
self._set_items(query.eager_load_relations(self.items))
return self | [
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arne-cl/discoursegraphs | src/discoursegraphs/discoursegraph.py | https://github.com/arne-cl/discoursegraphs/blob/842f0068a3190be2c75905754521b176b25a54fb/src/discoursegraphs/discoursegraph.py#L686-L723 | def merge_graphs(self, other_docgraph, verbose=False):
"""
Merges another document graph into the current one, thereby adding all
the necessary nodes and edges (with attributes, layers etc.).
NOTE: This will only work if both graphs have exactly the same
tokenization.
"""
# keep track of all merged/old root nodes in case we need to
# delete them or their attributes (e.g. 'metadata')
if hasattr(self, 'merged_rootnodes'):
self.merged_rootnodes.append(other_docgraph.root)
else:
self.merged_rootnodes = [other_docgraph.root]
# renaming the tokens of the other graph to match this one
rename_tokens(other_docgraph, self, verbose=verbose)
self.add_nodes_from(other_docgraph.nodes(data=True))
# copy token node attributes to the current namespace
for node_id, node_attrs in other_docgraph.nodes(data=True):
if istoken(other_docgraph, node_id) and \
self.ns+':token' not in self.node[node_id]:
self.node[node_id].update({self.ns+':token': other_docgraph.get_token(node_id)})
self.add_edges_from(other_docgraph.edges(data=True))
# workaround for issues #89 and #96
# copy the token node IDs / sentence node IDs from the other graph,
# if this graph doesn't have such lists, yet
if other_docgraph.name and not self.name:
self.name = other_docgraph.name
if other_docgraph.tokens and not self.tokens:
self.tokens = other_docgraph.tokens
if other_docgraph.sentences and not self.sentences:
self.sentences = other_docgraph.sentences
# there should be no dangling, unused root nodes in a merged graph
self.merge_rootnodes(other_docgraph) | [
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jilljenn/tryalgo | tryalgo/pq_tree.py | https://github.com/jilljenn/tryalgo/blob/89a4dd9655e7b6b0a176f72b4c60d0196420dfe1/tryalgo/pq_tree.py#L247-L271 | def consecutive_ones_property(sets, universe=None):
""" Check the consecutive ones property.
:param list sets: is a list of subsets of the ground set.
:param groundset: is the set of all elements,
by default it is the union of the given sets
:returns: returns a list of the ordered ground set where
every given set is consecutive,
or None if there is no solution.
:complexity: O(len(groundset) * len(sets))
:disclaimer: an optimal implementation would have complexity
O(len(groundset) + len(sets) + sum(map(len,sets))),
and there are more recent easier algorithms for this problem.
"""
if universe is None:
universe = set()
for S in sets:
universe |= set(S)
tree = PQ_tree(universe)
try:
for S in sets:
tree.reduce(S)
return tree.border()
except IsNotC1P:
return None | [
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bretth/woven | woven/virtualenv.py | https://github.com/bretth/woven/blob/ec1da7b401a335f43129e7115fe7a4d145649f1e/woven/virtualenv.py#L184-L207 | def mkvirtualenv():
"""
Create the virtualenv project environment
"""
root = '/'.join([deployment_root(),'env'])
path = '/'.join([root,env.project_fullname])
dirs_created = []
if env.verbosity:
print env.host,'CREATING VIRTUALENV', path
if not exists(root): dirs_created += mkdirs(root)
with cd(root):
run(' '.join(["virtualenv",env.project_fullname]))
with cd(path):
dirs_created += mkdirs('egg_cache')
sudo('chown -R %s:www-data egg_cache'% env.user)
sudo('chmod -R g+w egg_cache')
run(''.join(["echo 'cd ",path,'/','project','/',env.project_package_name,'/sitesettings',"' > bin/postactivate"]))
sudo('chmod ugo+rwx bin/postactivate')
#Create a state
out = State(' '.join([env.host,'virtualenv',path,'created']))
out.object = dirs_created + ['bin','lib','include']
out.failed = False
return out | [
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suds-community/suds | suds/sudsobject.py | https://github.com/suds-community/suds/blob/6fb0a829337b5037a66c20aae6f89b41acd77e40/suds/sudsobject.py#L326-L350 | def print_dictionary(self, d, h, n, nl=False):
"""Print complex using the specified indent (n) and newline (nl)."""
if d in h:
return "{}..."
h.append(d)
s = []
if nl:
s.append("\n")
s.append(self.indent(n))
s.append("{")
for item in d.items():
s.append("\n")
s.append(self.indent(n+1))
if isinstance(item[1], (list,tuple)):
s.append(tostr(item[0]))
s.append("[]")
else:
s.append(tostr(item[0]))
s.append(" = ")
s.append(self.process(item[1], h, n, True))
s.append("\n")
s.append(self.indent(n))
s.append("}")
h.pop()
return "".join(s) | [
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/storage/google/cloud/storage/acl.py#L506-L524 | def save_predefined(self, predefined, client=None):
"""Save this ACL for the current bucket using a predefined ACL.
If :attr:`user_project` is set, bills the API request to that project.
:type predefined: str
:param predefined: An identifier for a predefined ACL. Must be one
of the keys in :attr:`PREDEFINED_JSON_ACLS`
or :attr:`PREDEFINED_XML_ACLS` (which will be
aliased to the corresponding JSON name).
If passed, `acl` must be None.
:type client: :class:`~google.cloud.storage.client.Client` or
``NoneType``
:param client: Optional. The client to use. If not passed, falls back
to the ``client`` stored on the ACL's parent.
"""
predefined = self.validate_predefined(predefined)
self._save(None, predefined, client) | [
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JohnVinyard/zounds | zounds/spectral/frequencyscale.py | https://github.com/JohnVinyard/zounds/blob/337b3f98753d09eaab1c72dcd37bb852a3fa5ac6/zounds/spectral/frequencyscale.py#L387-L398 | def from_sample_rate(sample_rate, n_bands, always_even=False):
"""
Return a :class:`~zounds.spectral.LinearScale` instance whose upper
frequency bound is informed by the nyquist frequency of the sample rate.
Args:
sample_rate (SamplingRate): the sample rate whose nyquist frequency
will serve as the upper frequency bound of this scale
n_bands (int): the number of evenly-spaced frequency bands
"""
fb = FrequencyBand(0, sample_rate.nyquist)
return LinearScale(fb, n_bands, always_even=always_even) | [
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grantmcconnaughey/django-field-history | field_history/json_nested_serializer.py | https://github.com/grantmcconnaughey/django-field-history/blob/b61885d8bddf7d1f53addf3bea098f67fcf9a618/field_history/json_nested_serializer.py#L26-L65 | def serialize(self, queryset, **options):
"""
Serialize a queryset.
"""
self.options = options
self.stream = options.pop("stream", six.StringIO())
self.selected_fields = options.pop("fields", None)
self.use_natural_keys = options.pop("use_natural_keys", False)
if self.use_natural_keys and RemovedInDjango19Warning is not None:
warnings.warn("``use_natural_keys`` is deprecated; use ``use_natural_foreign_keys`` instead.",
RemovedInDjango19Warning)
self.use_natural_foreign_keys = options.pop('use_natural_foreign_keys', False) or self.use_natural_keys
self.use_natural_primary_keys = options.pop('use_natural_primary_keys', False)
self.start_serialization()
self.first = True
for obj in queryset:
self.start_object(obj)
# Use the concrete parent class' _meta instead of the object's _meta
# This is to avoid local_fields problems for proxy models. Refs #17717.
concrete_model = obj._meta.concrete_model
# only one change local_fields -> fields for supporting nested models
for field in concrete_model._meta.fields:
if field.serialize:
if field.remote_field is None:
if self.selected_fields is None or field.attname in self.selected_fields:
self.handle_field(obj, field)
else:
if self.selected_fields is None or field.attname[:-3] in self.selected_fields:
self.handle_fk_field(obj, field)
for field in concrete_model._meta.many_to_many:
if field.serialize:
if self.selected_fields is None or field.attname in self.selected_fields:
self.handle_m2m_field(obj, field)
self.end_object(obj)
if self.first:
self.first = False
self.end_serialization()
return self.getvalue() | [
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benoitguigal/python-epson-printer | epson_printer/epsonprinter.py | https://github.com/benoitguigal/python-epson-printer/blob/7d89b2f21bc76d2cc4d5ad548e19a356ca92fbc5/epson_printer/epsonprinter.py#L103-L153 | def from_image(cls, image):
"""
Create a PrintableImage from a PIL Image
:param image: a PIL Image
:return:
"""
(w, h) = image.size
# Thermal paper is 512 pixels wide
if w > 512:
ratio = 512. / w
h = int(h * ratio)
image = image.resize((512, h), Image.ANTIALIAS)
if image.mode != '1':
image = image.convert('1')
pixels = np.array(list(image.getdata())).reshape(h, w)
# Add white pixels so that image fits into bytes
extra_rows = int(math.ceil(h / 24)) * 24 - h
extra_pixels = np.ones((extra_rows, w), dtype=bool)
pixels = np.vstack((pixels, extra_pixels))
h += extra_rows
nb_stripes = h / 24
pixels = pixels.reshape(nb_stripes, 24, w).swapaxes(1, 2).reshape(-1, 8)
nh = int(w / 256)
nl = w % 256
data = []
pixels = np.invert(np.packbits(pixels))
stripes = np.split(pixels, nb_stripes)
for stripe in stripes:
data.extend([
ESC,
42, # *
33, # double density mode
nl,
nh])
data.extend(stripe)
data.extend([
27, # ESC
74, # J
48])
# account for double density mode
height = h * 2
return cls(data, height) | [
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pandas-dev/pandas | pandas/core/arrays/datetimes.py | https://github.com/pandas-dev/pandas/blob/9feb3ad92cc0397a04b665803a49299ee7aa1037/pandas/core/arrays/datetimes.py#L2114-L2140 | def _maybe_localize_point(ts, is_none, is_not_none, freq, tz):
"""
Localize a start or end Timestamp to the timezone of the corresponding
start or end Timestamp
Parameters
----------
ts : start or end Timestamp to potentially localize
is_none : argument that should be None
is_not_none : argument that should not be None
freq : Tick, DateOffset, or None
tz : str, timezone object or None
Returns
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ts : Timestamp
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# 1) freq = a Timedelta-like frequency (Tick)
# 2) freq = None i.e. generating a linspaced range
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localize_args = {'tz': tz, 'ambiguous': False}
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localize_args = {'tz': None}
if is_none is None and is_not_none is not None:
ts = ts.tz_localize(**localize_args)
return ts | [
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rstoneback/pysat | pysat/instruments/sw_kp.py | https://github.com/rstoneback/pysat/blob/4ae1afd80e15e4449397d39dce8c3e969c32c422/pysat/instruments/sw_kp.py#L183-L234 | def download(date_array, tag, sat_id, data_path, user=None, password=None):
"""Routine to download Kp index data
Parameters
-----------
tag : (string or NoneType)
Denotes type of file to load. Accepted types are '1min' and '5min'.
(default=None)
sat_id : (string or NoneType)
Specifies the satellite ID for a constellation. Not used.
(default=None)
data_path : (string or NoneType)
Path to data directory. If None is specified, the value previously
set in Instrument.files.data_path is used. (default=None)
Returns
--------
Void : (NoneType)
data downloaded to disk, if available.
Notes
-----
Called by pysat. Not intended for direct use by user.
"""
import ftplib
from ftplib import FTP
import sys
ftp = FTP('ftp.gfz-potsdam.de') # connect to host, default port
ftp.login() # user anonymous, passwd anonymous@
ftp.cwd('/pub/home/obs/kp-ap/tab')
for date in date_array:
fname = 'kp{year:02d}{month:02d}.tab'
fname = fname.format(year=(date.year - date.year//100*100), month=date.month)
local_fname = fname
saved_fname = os.path.join(data_path,local_fname)
try:
print('Downloading file for '+date.strftime('%D'))
sys.stdout.flush()
ftp.retrbinary('RETR '+fname, open(saved_fname,'wb').write)
except ftplib.error_perm as exception:
# if exception[0][0:3] != '550':
if str(exception.args[0]).split(" ", 1)[0] != '550':
raise
else:
os.remove(saved_fname)
print('File not available for '+date.strftime('%D'))
ftp.close()
return | [
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Parameters
-----------
tag : (string or NoneType)
Denotes type of file to load. Accepted types are '1min' and '5min'.
(default=None)
sat_id : (string or NoneType)
Specifies the satellite ID for a constellation. Not used.
(default=None)
data_path : (string or NoneType)
Path to data directory. If None is specified, the value previously
set in Instrument.files.data_path is used. (default=None)
Returns
--------
Void : (NoneType)
data downloaded to disk, if available.
Notes
-----
Called by pysat. Not intended for direct use by user. | [
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] | python | train | 33.057692 |
tensorflow/tensor2tensor | tensor2tensor/utils/registry.py | https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/utils/registry.py#L174-L177 | def on_set(self, key, value):
"""Callback called on successful set. Uses function from __init__."""
if self._on_set is not None:
self._on_set(key, value) | [
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EUDAT-B2SAFE/B2HANDLE | b2handle/handleclient.py | https://github.com/EUDAT-B2SAFE/B2HANDLE/blob/a6d216d459644e01fbdfd5b318a535950bc5cdbb/b2handle/handleclient.py#L1068-L1082 | def __send_handle_get_request(self, handle, indices=None):
'''
Send a HTTP GET request to the handle server to read either an entire
handle or to some specified values from a handle record, using the
requests module.
:param handle: The handle.
:param indices: Optional. A list of indices to delete. Defaults to
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:return: The server's response.
'''
resp = self.__handlesystemconnector.send_handle_get_request(handle, indices)
return resp | [
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dswah/pyGAM | pygam/utils.py | https://github.com/dswah/pyGAM/blob/b3e5c3cd580f0a3ad69f9372861624f67760c325/pygam/utils.py#L568-L707 | def b_spline_basis(x, edge_knots, n_splines=20, spline_order=3, sparse=True,
periodic=True, verbose=True):
"""
tool to generate b-spline basis using vectorized De Boor recursion
the basis functions extrapolate linearly past the end-knots.
Parameters
----------
x : array-like, with ndims == 1.
edge_knots : array-like contaning locations of the 2 edge knots.
n_splines : int. number of splines to generate. must be >= spline_order+1
default: 20
spline_order : int. order of spline basis to create
default: 3
sparse : boolean. whether to return a sparse basis matrix or not.
default: True
verbose : bool, default: True
whether to print warnings
Returns
-------
basis : sparse csc matrix or array containing b-spline basis functions
with shape (len(x), n_splines)
"""
if np.ravel(x).ndim != 1:
raise ValueError('Data must be 1-D, but found {}'\
.format(np.ravel(x).ndim))
if (n_splines < 1) or not isinstance(n_splines, numbers.Integral):
raise ValueError('n_splines must be int >= 1')
if (spline_order < 0) or not isinstance(spline_order, numbers.Integral):
raise ValueError('spline_order must be int >= 1')
if n_splines < spline_order + 1:
raise ValueError('n_splines must be >= spline_order + 1. '\
'found: n_splines = {} and spline_order = {}'\
.format(n_splines, spline_order))
if n_splines == 0 and verbose:
warnings.warn('Requested 1 spline. This is equivalent to '\
'fitting an intercept', stacklevel=2)
n_splines += spline_order * periodic
# rescale edge_knots to [0,1], and generate boundary knots
edge_knots = np.sort(deepcopy(edge_knots))
offset = edge_knots[0]
scale = edge_knots[-1] - edge_knots[0]
if scale == 0:
scale = 1
boundary_knots = np.linspace(0, 1, 1 + n_splines - spline_order)
diff = np.diff(boundary_knots[:2])[0]
# rescale x as well
x = (np.ravel(deepcopy(x)) - offset) / scale
# wrap periodic values
if periodic:
x = x % (1 + 1e-9)
# append 0 and 1 in order to get derivatives for extrapolation
x = np.r_[x, 0., 1.]
# determine extrapolation indices
x_extrapolte_l = (x < 0)
x_extrapolte_r = (x > 1)
x_interpolate = ~(x_extrapolte_r + x_extrapolte_l)
# formatting
x = np.atleast_2d(x).T
n = len(x)
# augment knots
aug = np.arange(1, spline_order + 1) * diff
aug_knots = np.r_[-aug[::-1],
boundary_knots,
1 + aug]
aug_knots[-1] += 1e-9 # want last knot inclusive
# prepare Haar Basis
bases = (x >= aug_knots[:-1]).astype(np.int) * \
(x < aug_knots[1:]).astype(np.int)
bases[-1] = bases[-2][::-1] # force symmetric bases at 0 and 1
# do recursion from Hastie et al. vectorized
maxi = len(aug_knots) - 1
for m in range(2, spline_order + 2):
maxi -= 1
# left sub-basis
num = (x - aug_knots[:maxi])
num *= bases[:, :maxi]
denom = aug_knots[m-1 : maxi+m-1] - aug_knots[:maxi]
left = num/denom
# right sub-basis
num = (aug_knots[m : maxi+m] - x) * bases[:, 1:maxi+1]
denom = aug_knots[m:maxi+m] - aug_knots[1 : maxi+1]
right = num/denom
# track previous bases and update
prev_bases = bases[-2:]
bases = left + right
if periodic and spline_order > 0:
# make spline domain periodic
bases[:, :spline_order] = np.max([bases[:, :spline_order],
bases[:, -spline_order:]],
axis=0)
# remove extra splines used only for ensuring correct domain
bases = bases[:, :-spline_order]
# extrapolate
# since we have repeated end-knots, only the last 2 basis functions are
# non-zero at the end-knots, and they have equal and opposite gradient.
if (any(x_extrapolte_r) or any(x_extrapolte_l)) and spline_order>0:
bases[~x_interpolate] = 0.
denom = (aug_knots[spline_order:-1] - aug_knots[: -spline_order - 1])
left = prev_bases[:, :-1] / denom
denom = (aug_knots[spline_order+1:] - aug_knots[1: -spline_order])
right = prev_bases[:, 1:] / denom
grads = (spline_order) * (left - right)
if any(x_extrapolte_l):
val = grads[0] * x[x_extrapolte_l] + bases[-2]
bases[x_extrapolte_l] = val
if any(x_extrapolte_r):
val = grads[1] * (x[x_extrapolte_r] - 1) + bases[-1]
bases[x_extrapolte_r] = val
# get rid of the added values at 0, and 1
bases = bases[:-2]
if sparse:
return sp.sparse.csc_matrix(bases)
return bases | [
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] | tool to generate b-spline basis using vectorized De Boor recursion
the basis functions extrapolate linearly past the end-knots.
Parameters
----------
x : array-like, with ndims == 1.
edge_knots : array-like contaning locations of the 2 edge knots.
n_splines : int. number of splines to generate. must be >= spline_order+1
default: 20
spline_order : int. order of spline basis to create
default: 3
sparse : boolean. whether to return a sparse basis matrix or not.
default: True
verbose : bool, default: True
whether to print warnings
Returns
-------
basis : sparse csc matrix or array containing b-spline basis functions
with shape (len(x), n_splines) | [
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] | python | train | 34.085714 |
jeffh/pyconstraints | pyconstraints/solvers.py | https://github.com/jeffh/pyconstraints/blob/923abce2f9ba484d1964165616a253bbccd1a630/pyconstraints/solvers.py#L277-L293 | def _next(self, possible_solution):
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pallets/werkzeug | src/werkzeug/wrappers/common_descriptors.py | https://github.com/pallets/werkzeug/blob/a220671d66755a94630a212378754bb432811158/src/werkzeug/wrappers/common_descriptors.py#L147-L159 | def mimetype_params(self):
"""The mimetype parameters as dict. For example if the
content type is ``text/html; charset=utf-8`` the params would be
``{'charset': 'utf-8'}``.
.. versionadded:: 0.5
"""
def on_update(d):
self.headers["Content-Type"] = dump_options_header(self.mimetype, d)
d = parse_options_header(self.headers.get("content-type", ""))[1]
return CallbackDict(d, on_update) | [
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saltstack/salt | salt/modules/solr.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/solr.py#L902-L945 | def set_is_polling(polling, host=None, core_name=None):
'''
SLAVE CALL
Prevent the slaves from polling the master for updates.
polling : boolean
True will enable polling. False will disable it.
host : str (None)
The solr host to query. __opts__['host'] is default.
core_name : str (None)
The name of the solr core if using cores. Leave this blank if you are
not using cores or if you want to check all cores.
Return : dict<str,obj>::
{'success':boolean, 'data':dict, 'errors':list, 'warnings':list}
CLI Example:
.. code-block:: bash
salt '*' solr.set_is_polling False
'''
ret = _get_return_dict()
# since only slaves can call this let's check the config:
if _is_master() and _get_none_or_value(host) is None:
err = ['solr.set_is_polling can only be called by "slave" minions']
return ret.update({'success': False, 'errors': err})
cmd = "enablepoll" if polling else "disapblepoll"
if _get_none_or_value(core_name) is None and _check_for_cores():
success = True
for name in __opts__['solr.cores']:
resp = set_is_polling(cmd, host=host, core_name=name)
if not resp['success']:
success = False
data = {name: {'data': resp['data']}}
ret = _update_return_dict(ret, success, data,
resp['errors'], resp['warnings'])
return ret
else:
resp = _replication_request(cmd, host=host, core_name=core_name)
return resp | [
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True will enable polling. False will disable it.
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The solr host to query. __opts__['host'] is default.
core_name : str (None)
The name of the solr core if using cores. Leave this blank if you are
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Return : dict<str,obj>::
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CLI Example:
.. code-block:: bash
salt '*' solr.set_is_polling False | [
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] | python | train | 34.954545 |
proycon/clam | clam/common/data.py | https://github.com/proycon/clam/blob/09d15cfc26d7cbe0f5976cdd5424dc446d10dbf3/clam/common/data.py#L1881-L1887 | def getparent(self, profile):
"""Resolve a parent ID"""
assert self.parent
for inputtemplate in profile.input:
if inputtemplate == self.parent:
return inputtemplate
raise Exception("Parent InputTemplate '"+self.parent+"' not found!") | [
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ml4ai/delphi | delphi/GrFN/networks.py | https://github.com/ml4ai/delphi/blob/6d03d8aafeab99610387c51b89c99738ff2abbe3/delphi/GrFN/networks.py#L641-L651 | def to_call_agraph(self):
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Yubico/python-pyhsm | pyhsm/soft_hsm.py | https://github.com/Yubico/python-pyhsm/blob/b6e2744d1ea15c352a0fc1d6ebc5950026b71311/pyhsm/soft_hsm.py#L95-L129 | def aesCCM(key, key_handle, nonce, data, decrypt=False):
"""
Function implementing YubiHSM AEAD encrypt/decrypt in software.
"""
if decrypt:
(data, saved_mac) = _split_data(data, len(data) - pyhsm.defines.YSM_AEAD_MAC_SIZE)
nonce = pyhsm.util.input_validate_nonce(nonce, pad = True)
mac = _cbc_mac(key, key_handle, nonce, len(data))
counter = _ctr_counter(key_handle, nonce, value = 0)
ctr_aes = AES.new(key, AES.MODE_CTR, counter = counter.next)
out = []
while data:
(thisblock, data) = _split_data(data, pyhsm.defines.YSM_BLOCK_SIZE)
# encrypt/decrypt and CBC MAC
if decrypt:
aes_out = ctr_aes.decrypt(thisblock)
mac.update(aes_out)
else:
mac.update(thisblock)
aes_out = ctr_aes.encrypt(thisblock)
out.append(aes_out)
# Finalize MAC
counter.value = 0
mac.finalize(counter.pack())
if decrypt:
if mac.get() != saved_mac:
raise pyhsm.exception.YHSM_Error('AEAD integrity check failed')
else:
out.append(mac.get())
return ''.join(out) | [
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UCL-INGI/INGInious | inginious/frontend/pages/course_admin/danger_zone.py | https://github.com/UCL-INGI/INGInious/blob/cbda9a9c7f2b8e8eb1e6d7d51f0d18092086300c/inginious/frontend/pages/course_admin/danger_zone.py#L67-L91 | def restore_course(self, courseid, backup):
""" Restores a course of given courseid to a date specified in backup (format : YYYYMMDD.HHMMSS) """
self.wipe_course(courseid)
filepath = os.path.join(self.backup_dir, courseid, backup + ".zip")
with zipfile.ZipFile(filepath, "r") as zipf:
aggregations = bson.json_util.loads(zipf.read("aggregations.json").decode("utf-8"))
if len(aggregations) > 0:
self.database.aggregations.insert(aggregations)
user_tasks = bson.json_util.loads(zipf.read("user_tasks.json").decode("utf-8"))
if len(user_tasks) > 0:
self.database.user_tasks.insert(user_tasks)
submissions = bson.json_util.loads(zipf.read("submissions.json").decode("utf-8"))
for submission in submissions:
for key in ["input", "archive"]:
if key in submission and type(submission[key]) == bson.objectid.ObjectId:
submission[key] = self.submission_manager.get_gridfs().put(zipf.read(key + "/" + str(submission[key]) + ".data"))
if len(submissions) > 0:
self.database.submissions.insert(submissions)
self._logger.info("Course %s restored from backup directory.", courseid) | [
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inveniosoftware/invenio-oaiserver | invenio_oaiserver/percolator.py | https://github.com/inveniosoftware/invenio-oaiserver/blob/eae765e32bd816ddc5612d4b281caf205518b512/invenio_oaiserver/percolator.py#L78-L91 | def _new_percolator(spec, search_pattern):
"""Create new percolator associated with the new set."""
if spec and search_pattern:
query = query_string_parser(search_pattern=search_pattern).to_dict()
for index in current_search.mappings.keys():
# Create the percolator doc_type in the existing index for >= ES5
# TODO: Consider doing this only once in app initialization
percolator_doc_type = _get_percolator_doc_type(index)
_create_percolator_mapping(index, percolator_doc_type)
current_search_client.index(
index=index, doc_type=percolator_doc_type,
id='oaiset-{}'.format(spec),
body={'query': query}
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google/grr | api_client/python/grr_api_client/hunt.py | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/api_client/python/grr_api_client/hunt.py#L342-L347 | def ListHunts(context=None):
"""List all GRR hunts."""
items = context.SendIteratorRequest("ListHunts", hunt_pb2.ApiListHuntsArgs())
return utils.MapItemsIterator(lambda data: Hunt(data=data, context=context),
items) | [
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moderngl/moderngl | moderngl/context.py | https://github.com/moderngl/moderngl/blob/a8f5dce8dc72ae84a2f9523887fb5f6b620049b9/moderngl/context.py#L955-L979 | def depth_renderbuffer(self, size, *, samples=0) -> 'Renderbuffer':
'''
:py:class:`Renderbuffer` objects are OpenGL objects that contain images.
They are created and used specifically with :py:class:`Framebuffer` objects.
Args:
size (tuple): The width and height of the renderbuffer.
Keyword Args:
samples (int): The number of samples. Value 0 means no multisample format.
Returns:
:py:class:`Renderbuffer` object
'''
res = Renderbuffer.__new__(Renderbuffer)
res.mglo, res._glo = self.mglo.depth_renderbuffer(size, samples)
res._size = size
res._components = 1
res._samples = samples
res._dtype = 'f4'
res._depth = True
res.ctx = self
res.extra = None
return res | [
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Esri/ArcREST | src/arcrest/ags/_uploads.py | https://github.com/Esri/ArcREST/blob/ab240fde2b0200f61d4a5f6df033516e53f2f416/src/arcrest/ags/_uploads.py#L109-L129 | def download(self, itemID, savePath):
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downloads an item to local disk
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itemID - unique id of item to download
savePath - folder to save the file in
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if os.path.isdir(savePath) == False:
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securityHandler=self._securityHandler,
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GNS3/gns3-server | gns3server/compute/vmware/vmware_vm.py | https://github.com/GNS3/gns3-server/blob/a221678448fb5d24e977ef562f81d56aacc89ab1/gns3server/compute/vmware/vmware_vm.py#L313-L320 | def _get_vnet(self, adapter_number):
"""
Return the vnet will use in ubridge
"""
vnet = "ethernet{}.vnet".format(adapter_number)
if vnet not in self._vmx_pairs:
raise VMwareError("vnet {} not in VMX file".format(vnet))
return vnet | [
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srittau/python-asserts | asserts/__init__.py | https://github.com/srittau/python-asserts/blob/1d5c797031c68ee27552d1c94e7f918c3d3d0453/asserts/__init__.py#L99-L115 | def assert_boolean_false(expr, msg_fmt="{msg}"):
"""Fail the test unless the expression is the constant False.
>>> assert_boolean_false(False)
>>> assert_boolean_false(0)
Traceback (most recent call last):
...
AssertionError: 0 is not False
The following msg_fmt arguments are supported:
* msg - the default error message
* expr - tested expression
"""
if expr is not False:
msg = "{!r} is not False".format(expr)
fail(msg_fmt.format(msg=msg, expr=expr)) | [
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mardix/Juice | juice/decorators.py | https://github.com/mardix/Juice/blob/7afa8d4238868235dfcdae82272bd77958dd416a/juice/decorators.py#L127-L190 | def template(page=None, layout=None, **kwargs):
"""
Decorator to change the view template and layout.
It works on both View class and view methods
on class
only $layout is applied, everything else will be passed to the kwargs
Using as first argument, it will be the layout.
:first arg or $layout: The layout to use for that view
:param layout: The layout to use for that view
:param kwargs:
get pass to the TEMPLATE_CONTEXT
** on method that return a dict
page or layout are optional
:param page: The html page
:param layout: The layout to use for that view
:param kwargs:
get pass to the view as k/V
** on other methods that return other type, it doesn't apply
:return:
"""
pkey = "_template_extends__"
def decorator(f):
if inspect.isclass(f):
layout_ = layout or page
extends = kwargs.pop("extends", None)
if extends and hasattr(extends, pkey):
items = getattr(extends, pkey).items()
if "layout" in items:
layout_ = items.pop("layout")
for k, v in items:
kwargs.setdefault(k, v)
if not layout_:
layout_ = "layout.html"
kwargs.setdefault("brand_name", "")
kwargs["layout"] = layout_
setattr(f, pkey, kwargs)
setattr(f, "base_layout", kwargs.get("layout"))
f.g(TEMPLATE_CONTEXT=kwargs)
return f
else:
@functools.wraps(f)
def wrap(*args2, **kwargs2):
response = f(*args2, **kwargs2)
if isinstance(response, dict) or response is None:
response = response or {}
if page:
response.setdefault("template_", page)
if layout:
response.setdefault("layout_", layout)
for k, v in kwargs.items():
response.setdefault(k, v)
return response
return wrap
return decorator | [
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RudolfCardinal/pythonlib | cardinal_pythonlib/rnc_web.py | https://github.com/RudolfCardinal/pythonlib/blob/0b84cb35f38bd7d8723958dae51b480a829b7227/cardinal_pythonlib/rnc_web.py#L637-L668 | def make_urls_hyperlinks(text: str) -> str:
"""
Adds hyperlinks to text that appears to contain URLs.
See
- http://stackoverflow.com/questions/1071191
- ... except that double-replaces everything; e.g. try with
``text = "[email protected] [email protected]"``
- http://stackp.online.fr/?p=19
"""
find_url = r'''
(?x)( # verbose identify URLs within text
(http|ftp|gopher) # make sure we find a resource type
:// # ...needs to be followed by colon-slash-slash
(\w+[:.]?){2,} # at least two domain groups, e.g. (gnosis.)(cx)
(/?| # could be just the domain name (maybe w/ slash)
[^ \n\r"]+ # or stuff then space, newline, tab, quote
[\w/]) # resource name ends in alphanumeric or slash
(?=[\s\.,>)'"\]]) # assert: followed by white or clause ending
) # end of match group
'''
replace_url = r'<a href="\1">\1</a>'
find_email = re.compile(r'([.\w\-]+@(\w[\w\-]+\.)+[\w\-]+)')
# '.' doesn't need escaping inside square brackets
# https://stackoverflow.com/questions/10397968/escape-dot-in-a-regex-range
replace_email = r'<a href="mailto:\1">\1</a>'
text = re.sub(find_url, replace_url, text)
text = re.sub(find_email, replace_email, text)
return text | [
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creare-com/pydem | pydem/processing_manager.py | https://github.com/creare-com/pydem/blob/c2fc8d84cfb411df84f71a6dec9edc4b544f710a/pydem/processing_manager.py#L487-L492 | def update_edge_todo(self, elev_fn, dem_proc):
"""
Can figure out how to update the todo based on the elev filename
"""
for key in self.edges[elev_fn].keys():
self.edges[elev_fn][key].set_data('todo', data=dem_proc.edge_todo) | [
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pytroll/satpy | satpy/readers/goes_imager_nc.py | https://github.com/pytroll/satpy/blob/1f21d20ac686b745fb0da9b4030d139893e066dd/satpy/readers/goes_imager_nc.py#L620-L634 | def _get_sector(self, channel, nlines, ncols):
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margin = 100
sectors_ref = self.vis_sectors
else:
margin = 50
sectors_ref = self.ir_sectors
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ployground/bsdploy | bsdploy/bootstrap_utils.py | https://github.com/ployground/bsdploy/blob/096d63b316264931627bed1f8ca8abf7eb517352/bsdploy/bootstrap_utils.py#L158-L266 | def bootstrap_files(self):
""" we need some files to bootstrap the FreeBSD installation.
Some...
- need to be provided by the user (i.e. authorized_keys)
- others have some (sensible) defaults (i.e. rc.conf)
- some can be downloaded via URL (i.e.) http://pkg.freebsd.org/freebsd:10:x86:64/latest/Latest/pkg.txz
For those which can be downloaded we check the downloads directory. if the file exists there
(and if the checksum matches TODO!) we will upload it to the host. If not, we will fetch the file
from the given URL from the host.
For files that cannot be downloaded (authorized_keys, rc.conf etc.) we allow the user to provide their
own version in a ``bootstrap-files`` folder. The location of this folder can either be explicitly provided
via the ``bootstrap-files`` key in the host definition of the config file or it defaults to ``deployment/bootstrap-files``.
User provided files can be rendered as Jinja2 templates, by providing ``use_jinja: True`` in the YAML file.
They will be rendered with the instance configuration dictionary as context.
If the file is not found there, we revert to the default
files that are part of bsdploy. If the file cannot be found there either we either error out or for authorized_keys
we look in ``~/.ssh/identity.pub``.
"""
bootstrap_file_yamls = [
abspath(join(self.default_template_path, self.bootstrap_files_yaml)),
abspath(join(self.custom_template_path, self.bootstrap_files_yaml))]
bootstrap_files = dict()
if self.upload_authorized_keys:
bootstrap_files['authorized_keys'] = BootstrapFile(self, 'authorized_keys', **{
'directory': '/mnt/root/.ssh',
'directory_mode': '0600',
'remote': '/mnt/root/.ssh/authorized_keys',
'fallback': [
'~/.ssh/identity.pub',
'~/.ssh/id_rsa.pub',
'~/.ssh/id_dsa.pub',
'~/.ssh/id_ecdsa.pub']})
for bootstrap_file_yaml in bootstrap_file_yamls:
if not exists(bootstrap_file_yaml):
continue
with open(bootstrap_file_yaml) as f:
info = yaml.load(f, Loader=SafeLoader)
if info is None:
continue
for k, v in info.items():
bootstrap_files[k] = BootstrapFile(self, k, **v)
for bf in bootstrap_files.values():
if not exists(bf.local) and bf.raw_fallback:
if not bf.existing_fallback:
print("Found no public key in %s, you have to create '%s' manually" % (expanduser('~/.ssh'), bf.local))
sys.exit(1)
print("The '%s' file is missing." % bf.local)
for path in bf.existing_fallback:
yes = env.instance.config.get('bootstrap-yes', False)
if yes or yesno("Should we generate it using the key in '%s'?" % path):
if not exists(bf.expected_path):
os.mkdir(bf.expected_path)
with open(bf.local, 'wb') as out:
with open(path, 'rb') as f:
out.write(f.read())
break
else:
# answered no to all options
sys.exit(1)
if not bf.check():
print('Cannot find %s' % bf.local)
sys.exit(1)
packages_path = join(self.download_path, 'packages')
if exists(packages_path):
for dirpath, dirnames, filenames in os.walk(packages_path):
path = dirpath.split(packages_path)[1][1:]
for filename in filenames:
if not filename.endswith('.txz'):
continue
bootstrap_files[join(path, filename)] = BootstrapFile(
self, join(path, filename), **dict(
local=join(packages_path, join(path, filename)),
remote=join('/mnt/var/cache/pkg/All', filename),
encrypted=False))
if self.ssh_keys is not None:
for ssh_key_name, ssh_key_options in list(self.ssh_keys):
ssh_key = join(self.custom_template_path, ssh_key_name)
if exists(ssh_key):
pub_key_name = '%s.pub' % ssh_key_name
pub_key = '%s.pub' % ssh_key
if not exists(pub_key):
print("Public key '%s' for '%s' missing." % (pub_key, ssh_key))
sys.exit(1)
bootstrap_files[ssh_key_name] = BootstrapFile(
self, ssh_key_name, **dict(
local=ssh_key,
remote='/mnt/etc/ssh/%s' % ssh_key_name,
mode=0600))
bootstrap_files[pub_key_name] = BootstrapFile(
self, pub_key_name, **dict(
local=pub_key,
remote='/mnt/etc/ssh/%s' % pub_key_name,
mode=0644))
if hasattr(env.instance, 'get_vault_lib'):
vaultlib = env.instance.get_vault_lib()
for bf in bootstrap_files.values():
if bf.encrypted is None and exists(bf.local):
with open(bf.local) as f:
data = f.read()
bf.info['encrypted'] = vaultlib.is_encrypted(data)
return bootstrap_files | [
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awslabs/sockeye | sockeye/encoder.py | https://github.com/awslabs/sockeye/blob/5d64a1ee1ef3cbba17c6d1d94bc061020c43f6ab/sockeye/encoder.py#L937-L941 | def get_rnn_cells(self) -> List[mx.rnn.BaseRNNCell]:
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python-cmd2/cmd2 | cmd2/history.py | https://github.com/python-cmd2/cmd2/blob/b22c0bd891ed08c8b09df56df9d91f48166a5e2a/cmd2/history.py#L76-L81 | def _zero_based_index(self, onebased: Union[int, str]) -> int:
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guaix-ucm/numina | numina/store/gtc/load.py | https://github.com/guaix-ucm/numina/blob/6c829495df8937f77c2de9383c1038ffb3e713e3/numina/store/gtc/load.py#L62-L76 | def build_result(data):
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(path, swiHome) = _findSwiplWin()
elif platform in ("lin", "cyg"):
(path, swiHome) = _findSwiplLin()
elif platform == "dar": # Help with MacOS is welcome!!
(path, swiHome) = _findSwiplDar()
if path is None:
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globocom/GloboNetworkAPI-client-python | networkapiclient/ApiVipRequest.py | https://github.com/globocom/GloboNetworkAPI-client-python/blob/cf34f913da48d9abbf750114f5d2ac4b2dde137d/networkapiclient/ApiVipRequest.py#L243-L252 | def deploy(self, ids):
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url = build_uri_with_ids('api/v3/vip-request/deploy/%s/', ids)
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arne-cl/discoursegraphs | src/discoursegraphs/discoursegraph.py | https://github.com/arne-cl/discoursegraphs/blob/842f0068a3190be2c75905754521b176b25a54fb/src/discoursegraphs/discoursegraph.py#L614-L640 | def add_layer(self, element, layer):
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asyrjasalo/RESTinstance | src/REST/keywords.py | https://github.com/asyrjasalo/RESTinstance/blob/9b003ffc6a89ec4b8b6f05eeb6cc8e56aad4be4e/src/REST/keywords.py#L81-L94 | def set_headers(self, headers):
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``headers``: The headers to add or update as a JSON object or a
dictionary.
*Examples*
| `Set Headers` | { "authorization": "Basic QWxhZGRpbjpPcGVuU2VzYW1"} |
| `Set Headers` | { "Accept-Encoding": "identity"} |
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openego/eDisGo | edisgo/grid/network.py | https://github.com/openego/eDisGo/blob/e6245bdaf236f9c49dbda5a18c1c458290f41e2b/edisgo/grid/network.py#L1444-L1471 | def _worst_case_generation(self, worst_case_scale_factors, modes):
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modes : list
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bunq/sdk_python | bunq/sdk/model/generated/endpoint.py | https://github.com/bunq/sdk_python/blob/da6c9b83e6d83ee8062617f53c6eb7293c0d863d/bunq/sdk/model/generated/endpoint.py#L1550-L1567 | def is_all_field_none(self):
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TaurusOlson/incisive | incisive/core.py | https://github.com/TaurusOlson/incisive/blob/25bb9f53495985c1416c82e26f54158df4050cb0/incisive/core.py#L55-L88 | def read_csv(filename, delimiter=",", skip=0, guess_type=True, has_header=True, use_types={}):
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robotools/extractor | Lib/extractor/formats/opentype.py | https://github.com/robotools/extractor/blob/da3c2c92bfd3da863dd5de29bd8bc94cbbf433df/Lib/extractor/formats/opentype.py#L453-L501 | def _gatherLookupIndexes(gpos):
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mdsol/rwslib | rwslib/builders/metadata.py | https://github.com/mdsol/rwslib/blob/1a86bc072d408c009ed1de8bf6e98a1769f54d18/rwslib/builders/metadata.py#L1687-L1697 | def build(self, builder):
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brocade/pynos | pynos/versions/ver_7/ver_7_1_0/yang/brocade_vswitch.py | https://github.com/brocade/pynos/blob/bd8a34e98f322de3fc06750827d8bbc3a0c00380/pynos/versions/ver_7/ver_7_1_0/yang/brocade_vswitch.py#L671-L682 | def get_vnetwork_vswitches_input_last_rcvd_instance(self, **kwargs):
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gwastro/pycbc | pycbc/workflow/pegasus_workflow.py | https://github.com/gwastro/pycbc/blob/7a64cdd104d263f1b6ea0b01e6841837d05a4cb3/pycbc/workflow/pegasus_workflow.py#L182-L186 | def add_output_opt(self, opt, out):
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DigitalGlobe/gbdxtools | gbdxtools/images/mixins/geo.py | https://github.com/DigitalGlobe/gbdxtools/blob/def62f8f2d77b168aa2bd115290aaa0f9a08a4bb/gbdxtools/images/mixins/geo.py#L61-L79 | def histogram_equalize(self, use_bands, **kwargs):
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Equalization is on all three bands, not per-band | [
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stefankoegl/kdtree | kdtree.py | https://github.com/stefankoegl/kdtree/blob/587edc7056d7735177ad56a84ad5abccdea91693/kdtree.py#L187-L199 | def require_axis(f):
""" Check if the object of the function has axis and sel_axis members """
@wraps(f)
def _wrapper(self, *args, **kwargs):
if None in (self.axis, self.sel_axis):
raise ValueError('%(func_name) requires the node %(node)s '
'to have an axis and a sel_axis function' %
dict(func_name=f.__name__, node=repr(self)))
return f(self, *args, **kwargs)
return _wrapper | [
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fukuball/fuku-ml | FukuML/MLBase.py | https://github.com/fukuball/fuku-ml/blob/0da15ad7af76adf344b5a6b3f3dbabbbab3446b0/FukuML/MLBase.py#L34-L55 | def set_feature_transform(self, mode='polynomial', degree=1):
'''
Transform data feature to high level
'''
if self.status != 'load_train_data':
print("Please load train data first.")
return self.train_X
self.feature_transform_mode = mode
self.feature_transform_degree = degree
self.train_X = self.train_X[:, 1:]
self.train_X = utility.DatasetLoader.feature_transform(
self.train_X,
self.feature_transform_mode,
self.feature_transform_degree
)
return self.train_X | [
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msztolcman/versionner | versionner/config.py | https://github.com/msztolcman/versionner/blob/78fca02859e3e3eb71c9eb7ea230758944177c54/versionner/config.py#L106-L118 | def _parse_config_file(self, cfg_files):
"""Parse config file (ini) and set properties
:return:
"""
cfg_handler = configparser.ConfigParser(interpolation=None)
if not cfg_handler.read(map(str, cfg_files)):
return
self._parse_global_section(cfg_handler)
self._parse_vcs_section(cfg_handler)
self._parse_file_section(cfg_handler) | [
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modin-project/modin | modin/backends/pandas/query_compiler.py | https://github.com/modin-project/modin/blob/5b77d242596560c646b8405340c9ce64acb183cb/modin/backends/pandas/query_compiler.py#L1637-L1663 | def query(self, expr, **kwargs):
"""Query columns of the DataManager with a boolean expression.
Args:
expr: Boolean expression to query the columns with.
Returns:
DataManager containing the rows where the boolean expression is satisfied.
"""
columns = self.columns
def query_builder(df, **kwargs):
# This is required because of an Arrow limitation
# TODO revisit for Arrow error
df = df.copy()
df.index = pandas.RangeIndex(len(df))
df.columns = columns
df.query(expr, inplace=True, **kwargs)
df.columns = pandas.RangeIndex(len(df.columns))
return df
func = self._prepare_method(query_builder, **kwargs)
new_data = self._map_across_full_axis(1, func)
# Query removes rows, so we need to update the index
new_index = self.compute_index(0, new_data, True)
return self.__constructor__(new_data, new_index, self.columns, self.dtypes) | [
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dhermes/bezier | docs/make_images.py | https://github.com/dhermes/bezier/blob/4f941f82637a8e70a5b159a9203132192e23406b/docs/make_images.py#L1080-L1108 | def newton_refine_curve(curve, point, s, new_s):
"""Image for :func:`._curve_helpers.newton_refine` docstring."""
if NO_IMAGES:
return
ax = curve.plot(256)
ax.plot(point[0, :], point[1, :], marker="H")
wrong_points = curve.evaluate_multi(np.asfortranarray([s, new_s]))
ax.plot(
wrong_points[0, [0]],
wrong_points[1, [0]],
color="black",
linestyle="None",
marker="o",
)
ax.plot(
wrong_points[0, [1]],
wrong_points[1, [1]],
color="black",
linestyle="None",
marker="o",
markeredgewidth=1,
markerfacecolor="None",
)
# Set the axis bounds / scaling.
ax.axis("scaled")
ax.set_xlim(-0.125, 3.125)
ax.set_ylim(-0.125, 1.375)
save_image(ax.figure, "newton_refine_curve.png") | [
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pudo/apikit | apikit/args.py | https://github.com/pudo/apikit/blob/638f83fc3f727d56541dd76ceb5fde04993a2bc6/apikit/args.py#L8-L13 | def arg_bool(name, default=False):
""" Fetch a query argument, as a boolean. """
v = request.args.get(name, '')
if not len(v):
return default
return v in BOOL_TRUISH | [
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ssalentin/plip | plip/modules/supplemental.py | https://github.com/ssalentin/plip/blob/906c8d36463689779b403f6c2c9ed06174acaf9a/plip/modules/supplemental.py#L410-L442 | def readmol(path, as_string=False):
"""Reads the given molecule file and returns the corresponding Pybel molecule as well as the input file type.
In contrast to the standard Pybel implementation, the file is closed properly."""
supported_formats = ['pdb']
# Fix for Windows-generated files: Remove carriage return characters
if "\r" in path and as_string:
path = path.replace('\r', '')
for sformat in supported_formats:
obc = pybel.ob.OBConversion()
obc.SetInFormat(sformat)
write_message("Detected {} as format. Trying to read file with OpenBabel...\n".format(sformat), mtype='debug')
# Read molecules with single bond information
if as_string:
try:
mymol = pybel.readstring(sformat, path)
except IOError:
sysexit(4, 'No valid file format provided.')
else:
read_file = pybel.readfile(format=sformat, filename=path, opt={"s": None})
try:
mymol = next(read_file)
except StopIteration:
sysexit(4, 'File contains no valid molecules.\n')
write_message("Molecule successfully read.\n", mtype='debug')
# Assign multiple bonds
mymol.OBMol.PerceiveBondOrders()
return mymol, sformat
sysexit(4, 'No valid file format provided.') | [
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edx/edx-enterprise | integrated_channels/degreed/client.py | https://github.com/edx/edx-enterprise/blob/aea91379ab0a87cd3bc798961fce28b60ee49a80/integrated_channels/degreed/client.py#L127-L158 | def _sync_content_metadata(self, serialized_data, http_method):
"""
Synchronize content metadata using the Degreed course content API.
Args:
serialized_data: JSON-encoded object containing content metadata.
http_method: The HTTP method to use for the API request.
Raises:
ClientError: If Degreed API request fails.
"""
try:
status_code, response_body = getattr(self, '_' + http_method)(
urljoin(self.enterprise_configuration.degreed_base_url, self.global_degreed_config.course_api_path),
serialized_data,
self.CONTENT_PROVIDER_SCOPE
)
except requests.exceptions.RequestException as exc:
raise ClientError(
'DegreedAPIClient request failed: {error} {message}'.format(
error=exc.__class__.__name__,
message=str(exc)
)
)
if status_code >= 400:
raise ClientError(
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status_code=status_code,
message=response_body
)
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evandempsey/porter2-stemmer | porter2stemmer/porter2stemmer.py | https://github.com/evandempsey/porter2-stemmer/blob/949824b7767c25efb014ef738e682442fa70c10b/porter2stemmer/porter2stemmer.py#L295-L313 | def delete_suffixes(self, word):
"""
Delete some very common suffixes.
"""
length = len(word)
suffixes = ['al', 'ance', 'ence', 'er', 'ic', 'able', 'ible',
'ant', 'ement', 'ment', 'ent', 'ism', 'ate',
'iti', 'ous', 'ive', 'ize']
for suffix in suffixes:
if word.endswith(suffix) and self.r2 <= (length - len(suffix)):
word = word[:-len(suffix)]
return word
if word.endswith('ion') and self.r2 <= (length - 3):
if word[length - 4] in 'st':
word = word[:-3]
return word | [
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bukun/TorCMS | ext_script/autocrud/func_gen_html.py | https://github.com/bukun/TorCMS/blob/6567c7fe2604a1d646d4570c017840958630ed2b/ext_script/autocrud/func_gen_html.py#L135-L149 | def gen_checkbox_list(sig_dic):
'''
For generating List view HTML file for CHECKBOX.
for each item.
'''
view_zuoxiang = '''<span class="iga_pd_val">'''
dic_tmp = sig_dic['dic']
for key in dic_tmp.keys():
tmp_str = '''{{% if "{0}" in postinfo.extinfo["{1}"] %}} {2} {{% end %}}
'''.format(key, sig_dic['en'], dic_tmp[key])
view_zuoxiang += tmp_str
view_zuoxiang += '''</span>'''
return view_zuoxiang | [
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danilobellini/audiolazy | audiolazy/lazy_synth.py | https://github.com/danilobellini/audiolazy/blob/dba0a278937909980ed40b976d866b8e97c35dee/audiolazy/lazy_synth.py#L325-L345 | def zeros(dur=None):
"""
Zeros/zeroes stream generator.
You may sum your endless stream by this to enforce an end to it.
Parameters
----------
dur :
Duration, in number of samples; endless if not given.
Returns
-------
Stream that repeats "0.0" during a given time duration (if any) or
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slundberg/shap | shap/datasets.py | https://github.com/slundberg/shap/blob/b280cb81d498b9d98565cad8dd16fc88ae52649f/shap/datasets.py#L200-L225 | def independentlinear60(display=False):
""" A simulated dataset with tight correlations among distinct groups of features.
"""
# set a constant seed
old_seed = np.random.seed()
np.random.seed(0)
# generate dataset with known correlation
N = 1000
M = 60
# set one coefficent from each group of 3 to 1
beta = np.zeros(M)
beta[0:30:3] = 1
f = lambda X: np.matmul(X, beta)
# Make sure the sample correlation is a perfect match
X_start = np.random.randn(N, M)
X = X_start - X_start.mean(0)
y = f(X) + np.random.randn(N) * 1e-2
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np.random.seed(old_seed)
return pd.DataFrame(X), y | [
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AustralianSynchrotron/lightflow | lightflow/models/utils.py | https://github.com/AustralianSynchrotron/lightflow/blob/dc53dbc1d961e20fb144273baca258060705c03e/lightflow/models/utils.py#L2-L19 | def find_indices(lst, element):
""" Returns the indices for all occurrences of 'element' in 'lst'.
Args:
lst (list): List to search.
element: Element to find.
Returns:
list: List of indices or values
"""
result = []
offset = -1
while True:
try:
offset = lst.index(element, offset+1)
except ValueError:
return result
result.append(offset) | [
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