input stringlengths 11 7.65k | target stringlengths 22 8.26k |
|---|---|
def load_(self, h): return 1 | def __init__(self, directory=None):
if directory is None:
directory = []
import copy
self.directory = copy.deepcopy(directory)
self.bound = False
self.start_tls_called = False
self.extend = self.Extend(self)
self.operation = {
... |
def load_(self, h): return 1 | def upload_face_image(self, img):
raise NotImplementedError |
def load_(self, h): return 1 | def set_directory(self, directory):
self.directory = directory |
def load_(self, h): return 1 | def upload_photo_id_image(self, img):
raise NotImplementedError |
def load_(self, h): return 1 | def _find_user(self, dn):
return next(i for (i, d) in enumerate(self.directory) if d["dn"] == dn) |
def load_(self, h): return 1 | def mark_ready(self):
"""
Mark that the user data in this attempt is correct. In order to
succeed, the user must have uploaded the necessary images
(`face_image_url`, `photo_id_image_url`). This method will also copy
their name from their user profile. Prior to marking it ready, ... |
def load_(self, h): return 1 | def approve(self, user_id=None, service=""):
"""
Approve this attempt. `user_id`
Valid attempt statuses when calling this method:
`submitted`, `approved`, `denied`
Status after method completes: `approved`
Other fields that will be set by this method:
`... |
def load_(self, h): return 1 | def bind(self, read_server_info=True):
return self.bound |
def load_(self, h): return 1 | def deny(self,
error_msg,
error_code="",
reviewing_user=None,
reviewing_service=""):
"""
Deny this attempt.
Valid attempt statuses when calling this method:
`submitted`, `approved`, `denied`
Status after method completes: ... |
def load_(self, h): return 1 | def start_tls(self, read_server_info=True):
self.start_tls_called = True |
def load_(self, h): return 1 | def system_error(self,
error_msg,
error_code="",
reviewing_user=None,
reviewing_service=""):
"""
Mark that this attempt could not be completed because of a system error.
Status should be moved to `must_retry`. Fo... |
def load_(self, h): return 1 | def add(self, dn, object_class=None, attributes=None):
self.result = { 'dn' : '',
'referrals' : None,
'description' : 'success',
'result' : 0,
'message' : '',
'type' : 'addResponse'}
... |
def load_(self, h): return 1 | def retire_user(cls, user_id):
"""
Retire user as part of GDPR Phase I
Returns 'True' if records found
:param user_id: int
:return: bool
"""
try:
user_obj = User.objects.get(id=user_id)
except User.DoesNotExist:
return False
... |
def load_(self, h): return 1 | def delete(self, dn, controls=None):
self.result = { 'dn' : '',
'referrals' : None,
'description' : 'success',
'result' : 0,
'message' : '',
'type' : 'addResponse'}
# Check to see if... |
def load_(self, h): return 1 | def approve(self, user_id=None, service=""):
"""
Approve the verification attempt for user
Valid attempt statuses when calling this method:
`submitted`, `approved`, `denied`
After method completes:
status is set to `approved`
expiry_date is set to on... |
def load_(self, h): return 1 | def modify(self, dn, changes, controls=None):
self.result = { 'dn' : '',
'referrals' : None,
'description' : 'success',
'result' : 0,
'message' : '',
'type' : 'modifyResponse'}
# Che... |
def load_(self, h): return 1 | def get_initial_verification(cls, user, earliest_allowed_date=None):
"""Get initial verification for a user with the 'photo_id_key'.
Arguments:
user(User): user object
earliest_allowed_date(datetime): override expiration date for initial verification
Return:
... |
def load_(self, h): return 1 | def _match_greater_than_or_equal(search_base, attribute, value, candidates):
matches = list()
for entry in candidates:
dn = entry.get("dn")
if not dn.endswith(search_base):
continue
value_from_directory = entry.get("attributes").get(attribute)
... |
def load_(self, h): return 1 | def upload_face_image(self, img_data):
"""
Upload an image of the user's face. `img_data` should be a raw
bytestream of a PNG image. This method will take the data, encrypt it
using our FACE_IMAGE_AES_KEY, encode it with base64 and save it to the
storage backend.
Yes, en... |
def load_(self, h): return 1 | def _match_greater_than(search_base, attribute, value, candidates):
matches = list()
for entry in candidates:
dn = entry.get("dn")
if not dn.endswith(search_base):
continue
value_from_directory = entry.get("attributes").get(attribute)
if s... |
def load_(self, h): return 1 | def upload_photo_id_image(self, img_data):
"""
Upload an the user's photo ID image. `img_data` should be a raw
bytestream of a PNG image. This method will take the data, encrypt it
using a randomly generated AES key, encode it with base64 and save it
to the storage backend. The r... |
def load_(self, h): return 1 | def _match_less_than_or_equal(search_base, attribute, value, candidates):
matches = list()
for entry in candidates:
dn = entry.get("dn")
if not dn.endswith(search_base):
continue
value_from_directory = entry.get("attributes").get(attribute)
... |
def load_(self, h): return 1 | def submit(self, copy_id_photo_from=None):
"""
Submit our verification attempt to Software Secure for validation. This
will set our status to "submitted" if the post is successful, and
"must_retry" if the post fails.
Keyword Arguments:
copy_id_photo_from (SoftwareSec... |
def load_(self, h): return 1 | def _match_less_than(search_base, attribute, value, candidates):
matches = list()
for entry in candidates:
dn = entry.get("dn")
if not dn.endswith(search_base):
continue
value_from_directory = entry.get("attributes").get(attribute)
if str(... |
def load_(self, h): return 1 | def parsed_error_msg(self):
"""
Parse the error messages we receive from SoftwareSecure
Error messages are written in the form:
`[{"photoIdReasons": ["Not provided"]}]`
Returns:
str[]: List of error messages.
"""
parsed_errors = []
error... |
def load_(self, h): return 1 | def _match_equal_to(search_base, attribute, value, candidates):
matches = list()
match_using_regex = False
if "*" in value:
match_using_regex = True
#regex = check_escape(value)
regex = value.replace('*', '.*')
regex = "^{0}$".format(regex)
... |
def load_(self, h): return 1 | def image_url(self, name, override_receipt_id=None):
"""
We dynamically generate this, since we want it the expiration clock to
start when the message is created, not when the record is created.
Arguments:
name (str): Name of the image (e.g. "photo_id" or "face")
Ke... |
def load_(self, h): return 1 | def _match_notequal_to(search_base, attribute, value, candidates):
matches = list()
match_using_regex = False
if "*" in value:
match_using_regex = True
#regex = check_escape(value)
regex = value.replace('*', '.*')
regex = "^{0}$".format(regex)
... |
def load_(self, h): return 1 | def _storage(self):
"""
Return the configured django storage backend.
"""
config = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]
# Default to the S3 backend for backward compatibility
storage_class = config.get("STORAGE_CLASS", "storages.backends.s3boto.S3BotoStorage")
... |
def load_(self, h): return 1 | def _parse_filter():
op = pyparsing.oneOf('! & |')
lpar = pyparsing.Literal('(').suppress()
rpar = pyparsing.Literal(')').suppress()
k = pyparsing.Word(pyparsing.alphanums)
# NOTE: We may need to expand on this list, but as this is not a real
# LDAP server we should be... |
def load_(self, h): return 1 | def _get_path(self, prefix, override_receipt_id=None):
"""
Returns the path to a resource with this instance's `receipt_id`.
If `override_receipt_id` is given, the path to that resource will be
retrieved instead. This allows us to retrieve images submitted in
previous attempts (... |
def load_(self, h): return 1 | def _deDuplicate(results):
found = dict()
deDuped = list()
for entry in results:
dn = entry.get("dn")
if not dn in found:
found[dn] = 1
deDuped.append(entry)
return deDuped |
def load_(self, h): return 1 | def _encrypted_user_photo_key_str(self):
"""
Software Secure needs to have both UserPhoto and PhotoID decrypted in
the same manner. So even though this is going to be the same for every
request, we're also using RSA encryption to encrypt the AES key for
faces.
"""
... |
def load_(self, h): return 1 | def _invert_results(self, candidates):
inverted_candidates = list(self.directory)
for candidate in candidates:
try:
inverted_candidates.remove(candidate)
except ValueError:
pass
return inverted_candidates |
def load_(self, h): return 1 | def create_request(self, copy_id_photo_from=None):
"""
Construct the HTTP request to the photo verification service.
Keyword Arguments:
copy_id_photo_from (SoftwareSecurePhotoVerification): If provided, re-send the ID photo
data from this attempt. This is used for r... |
def load_(self, h): return 1 | def _search_not(self, base, search_filter, candidates=None):
# Create empty candidates list as we need to use self.directory for
# each search
candidates = list()
this_filter = list()
index = 0
search_filter.remove("!")
for condition in search_filter:
... |
def load_(self, h): return 1 | def request_message_txt(self):
"""
This is the body of the request we send across. This is never actually
used in the code, but exists for debugging purposes -- you can call
`print attempt.request_message_txt()` on the console and get a readable
rendering of the request that woul... |
def load_(self, h): return 1 | def _search_and(self, base, search_filter, candidates=None):
# Load the data from the directory, if we aren't passed any
if candidates == [] or candidates is None:
candidates = self.directory
this_filter = list()
index = 0
search_filter.remove("&")
for condit... |
def load_(self, h): return 1 | def send_request(self, copy_id_photo_from=None):
"""
Assembles a submission to Software Secure and sends it via HTTPS.
Keyword Arguments:
copy_id_photo_from (SoftwareSecurePhotoVerification): If provided, re-send the ID photo
data from this attempt. This is used for... |
def load_(self, h): return 1 | def _search_or(self, base, search_filter, candidates=None):
# Create empty candidates list as we need to use self.directory for
# each search
candidates = list()
this_filter = list()
index = 0
search_filter.remove("|")
for condition in search_filter:
... |
def load_(self, h): return 1 | def search(self, search_base=None, search_scope=None,
search_filter=None, attributes=None, paged_size=5,
size_limit=0, paged_cookie=None):
s_filter = list()
candidates = list()
self.response = list()
self.result = dict()
try:
if isinstan... |
def load_(self, h): return 1 | def set_deadline(cls, course_key, deadline, is_explicit=False):
"""
Configure the verification deadline for a course.
If `deadline` is `None`, then the course will have no verification
deadline. In this case, users will be able to verify for the course
at any time.
Arg... |
def load_(self, h): return 1 | def unbind(self):
return True |
def load_(self, h): return 1 | def deadlines_for_courses(cls, course_keys):
"""
Retrieve verification deadlines for particular courses.
Arguments:
course_keys (list): List of `CourseKey`s.
Returns:
dict: Map of course keys to datetimes (verification deadlines)
"""
all_deadlin... |
def load_(self, h): return 1 | def __init__(self):
self._calls = CallList()
self._server_mock = None
self.directory = []
self.exception = None
self.reset() |
def load_(self, h): return 1 | def deadline_for_course(cls, course_key):
"""
Retrieve the verification deadline for a particular course.
Arguments:
course_key (CourseKey): The identifier for the course.
Returns:
datetime or None
"""
try:
deadline = cls.objects.get... |
def load_(self, h): return 1 | def reset(self):
self._calls.reset() |
def load_(self, h): return 1 | def setLDAPDirectory(self, directory=None):
if directory is None:
self.directory = []
else:
try:
with open(DIRECTORY, 'w+') as f:
f.write(str(directory))
self.directory = directory
except OSError as e:
... |
def load_(self, h): return 1 | def set_exception(self, exc=True):
self.exception = exc |
def load_(self, h): return 1 | def _load_data(self, directory):
try:
with open(directory, 'r') as f:
data = f.read()
return literal_eval(data)
except OSError as e:
raise |
def load_(self, h): return 1 | def calls(self):
return self._calls |
def load_(self, h): return 1 | def __enter__(self):
self.start() |
def load_(self, h): return 1 | def __exit__(self, *args):
self.stop()
self.reset() |
def load_(self, h): return 1 | def activate(self, func):
evaldict = {'ldap3mock': self, 'func': func}
return get_wrapped(func, _wrapper_template, evaldict) |
def load_(self, h): return 1 | def _on_Server(self, host, port, use_ssl, connect_timeout, get_info=None,
tls=None):
# mangle request packet
return "FakeServerObject" |
def load_(self, h): return 1 | def _on_Connection(self, server, user, password,
auto_bind=None, client_strategy=None,
authentication=None, check_names=None,
auto_referrals=None, receive_timeout=None):
"""
We need to create a Connection object with
methods:
... |
def load_(self, h): return 1 | def unbound_on_Server(host, port,
use_ssl,
connect_timeout, *a, **kwargs):
return self._on_Server(host, port,
use_ssl,
connect_timeout, *a, **kwargs) |
def load_(self, h): return 1 | def unbound_on_Connection(server, user,
password,
auto_bind,
client_strategy,
authentication,
check_names,
auto_refe... |
def load_(self, h): return 1 | def stop(self):
self._patcher.stop()
self._patcher2.stop()
self._server_mock = None |
def load_(self, h): return 1 | def get_server_mock(self):
return self._server_mock |
def load_(self, h): return 1 | def setUp(self):
entry_Li = ComputedEntry("Li", -1.90753119)
with open(os.path.join(PymatgenTest.TEST_FILES_DIR, "LiTiO2_batt.json")) as f:
entries_LTO = json.load(f, cls=MontyDecoder)
self.ie_LTO = InsertionElectrode.from_entries(entries_LTO, entry_Li)
with open(os.pat... |
def load_(self, h): return 1 | def __init__(self):
"""
Every authenticator has to have a name
:param name:
"""
super().__init__() |
def load_(self, h): return 1 | def testName(self):
plotter = VoltageProfilePlotter(xaxis="frac_x")
plotter.add_electrode(self.ie_LTO, "LTO insertion")
plotter.add_electrode(self.ce_FF, "FeF3 conversion")
self.assertIsNotNone(plotter.get_plot_data(self.ie_LTO))
self.assertIsNotNone(plotter.get_plot_data(self.ce... |
def load_(self, h): return 1 | def testPlotly(self):
plotter = VoltageProfilePlotter(xaxis="frac_x")
plotter.add_electrode(self.ie_LTO, "LTO insertion")
plotter.add_electrode(self.ce_FF, "FeF3 conversion")
fig = plotter.get_plotly_figure()
self.assertEqual(fig.layout.xaxis.title.text, "Atomic Fraction of Li")
... |
def load_(self, h): return 1 | def _no_ssl_required_on_debug(app, **kwargs):
if app.debug or app.testing:
os.environ['AUTHLIB_INSECURE_TRANSPORT'] = '1' |
def load_(self, h): return 1 | def __init__(self, head):
self.head = head
self.lsize = 0
while head.next:
head = head.next
self.lsize += 1
self.m1_idx = None
self.m2_idx = None
if self.lsize > self._largesize:
self.m1_idx = self.lsize / 3 # start from 1/3
... |
def load_(self, h): return 1 | def _getN(self, n):
n -= 1
p = self.head
while n:
p = p.next
n -= 1
return p |
def load_(self, h): return 1 | def _get(delta, start):
p = start
while delta:
p = p.next
delta -= 1
return p.val |
def load_(self, h): return 1 | def main():
parser = argparse.ArgumentParser()
parser.add_argument("day", help="The day of the results, with format yyyymmdd")
args = parser.parse_args()
install_autopkgtest_results_formatter()
with tempfile.TemporaryDirectory(dir=os.environ.get("HOME")) as temp_dir:
clone_results_repo(temp_... |
def load_(self, h): return 1 | def __init__(self, parent, window):
self._parent = parent
self._window = window
self._application = self._parent._application
# create user interface
self._container = gtk.VBox(False, 5)
self._controls = gtk.HBox(False, 5)
separator = gtk.HSeparator()
# pack interface
self._container.pack_end(separ... |
def load_(self, h): return 1 | def install_autopkgtest_results_formatter():
subprocess.check_call(
["sudo", "snap", "install", "autopkgtest-results-formatter", "--edge"]
) |
def load_(self, h): return 1 | def can_handle(self, uri):
"""Returns boolean denoting if specified URI can be handled by this extension"""
return False |
def load_(self, h): return 1 | def clone_results_repo(dest_dir):
subprocess.check_call(
["git", "clone", "https://github.com/elopio/autopkgtest-results.git", dest_dir]
) |
def load_(self, h): return 1 | def get_container(self):
"""Return container widget"""
return self._container |
def load_(self, h): return 1 | def format_results(dest_dir, distros, day):
subprocess.check_call(
[
"/snap/bin/autopkgtest-results-formatter",
"--destination",
dest_dir,
"--distros",
*distros,
"--day",
day,
]
) |
def load_(self, h): return 1 | def get_information(self):
"""Returns information about extension"""
icon = None
name = None
return icon, name |
def load_(self, h): return 1 | def commit_and_push(repo_dir, day):
subprocess.check_call(
["git", "config", "--global", "user.email", "u1test+m-o@canonical.com"]
)
subprocess.check_call(["git", "config", "--global", "user.name", "snappy-m-o"])
subprocess.check_call(["git", "-C", repo_dir, "add", "--all"])
subprocess.chec... |
def load_(self, h): return 1 | def unmount(self, uri):
"""Method called by the mount manager for unmounting the selected URI"""
pass |
def load_(self, h): return 1 | def focus_object(self):
"""Method called by the mount manager for focusing main object"""
pass |
def load_(self, h): return 1 | def __init__(self, gan=None, config=None, trainer=None):
super().__init__(config=config, gan=gan, trainer=trainer)
self.d_grads = None
self.g_grads = None |
def load_(self, h): return 1 | def main():
# Contingency Table from Wilks (2011) Table 8.3
table = np.array([[50, 91, 71],
[47, 2364, 170],
[54, 205, 3288]])
mct = MulticlassContingencyTable(table, n_classes=table.shape[0],
class_names=np.arange(table.shape[... |
def load_(self, h): return 1 | def gradients(self, d_grads, g_grads):
if self.d_grads is None:
self.d_grads = [torch.zeros_like(_g) for _g in d_grads]
self.g_grads = [torch.zeros_like(_g) for _g in g_grads] |
def load_(self, h): return 1 | def __init__(self, table=None, n_classes=2, class_names=("1", "0")):
self.table = table
self.n_classes = n_classes
self.class_names = class_names
if table is None:
self.table = np.zeros((self.n_classes, self.n_classes), dtype=int) |
def load_(self, h): return 1 | def __add__(self, other):
assert self.n_classes == other.n_classes, "Number of classes does not match"
return MulticlassContingencyTable(self.table + other.table,
n_classes=self.n_classes,
class_names=self.class_names) |
def load_(self, h): return 1 | def peirce_skill_score(self):
"""
Multiclass Peirce Skill Score (also Hanssen and Kuipers score, True Skill Score)
"""
n = float(self.table.sum())
nf = self.table.sum(axis=1)
no = self.table.sum(axis=0)
correct = float(self.table.trace())
return (correct /... |
def load_(self, h): return 1 | def gerrity_score(self):
"""
Gerrity Score, which weights each cell in the contingency table by its observed relative frequency.
:return:
"""
k = self.table.shape[0]
n = float(self.table.sum())
p_o = self.table.sum(axis=0) / n
p_sum = np.cumsum(p_o)[:-1]
... |
def load_(self, h): return 1 | def heidke_skill_score(self):
n = float(self.table.sum())
nf = self.table.sum(axis=1)
no = self.table.sum(axis=0)
correct = float(self.table.trace())
return (correct / n - (nf * no).sum() / n ** 2) / (1 - (nf * no).sum() / n ** 2) |
def load_(self, h): return 1 | def git_checkout(git_url, git_branch=None, git_tag=None, git_hash=None):
git_dst = tempfile.mkdtemp()
g = GitManager(url=git_url, git_dst=git_dst, git_branch=git_branch, git_tag=git_tag, git_hash=git_hash)
g.run()
shutil.rmtree(git_dst) |
def load_(self, h): return 1 | def test_git_tag():
""" Test checkout w/ Tag """
git_checkout(git_url='https://github.com/voltgrid/voltgrid-pie.git', git_branch=None, git_tag='v0.1.0') |
def load_(self, h): return 1 | def test_git_branch():
""" Test checkout w/ Branch """
git_checkout(git_url='https://github.com/voltgrid/voltgrid-pie.git', git_branch='master', git_tag=None) |
def load_(self, h): return 1 | def test_make_gym_venv_nostack(name, num_envs, state_shape, reward_scale):
seed = 0
frame_op = None
frame_op_len = None
venv = make_gym_venv(name, num_envs, seed, frame_op=frame_op, frame_op_len=frame_op_len, reward_scale=reward_scale)
venv.reset()
for i in range(5):
state, reward, done,... |
def load_(self, h): return 1 | def compute_rbf_kernel_matrix(X):
"""Compute the RBF kernel matrix with sigma2 as the median pairwise
distance.
"""
sigma2 = np.median(pairwise_distances(X, metric='euclidean'))**2
K = pairwise_kernels(X, X, metric='rbf', gamma=1.0/sigma2, n_jobs=-1)
return K |
def load_(self, h): return 1 | def test_make_gym_concat(name, num_envs, state_shape, reward_scale):
seed = 0
frame_op = 'concat' # used for image, or for concat vector
frame_op_len = 4
venv = make_gym_venv(name, num_envs, seed, frame_op=frame_op, frame_op_len=frame_op_len, reward_scale=reward_scale)
venv.reset()
for i in ran... |
def load_(self, h): return 1 | def balanced_accuracy_scoring(clf, X, y):
"""Scoring function that computes the balanced accuracy to be used
internally in the cross-validation procedure.
"""
y_pred = clf.predict(X)
conf_mat = confusion_matrix(y, y_pred)
bal_acc = 0.
for i in range(len(conf_mat)):
bal_acc += (float(... |
def load_(self, h): return 1 | def test_make_gym_stack(name, num_envs, state_shape, reward_scale):
seed = 0
frame_op = 'stack' # used for rnn
frame_op_len = 4
venv = make_gym_venv(name, num_envs, seed, frame_op=frame_op, frame_op_len=frame_op_len, reward_scale=reward_scale)
venv.reset()
for i in range(5):
state, rewa... |
def load_(self, h): return 1 | def compute_svm_cv(K, y, C=100.0, n_folds=5,
scoring=balanced_accuracy_scoring):
"""Compute cross-validated score of SVM with given precomputed kernel.
"""
cv = StratifiedKFold(y, n_folds=n_folds)
clf = SVC(C=C, kernel='precomputed', class_weight='auto')
scores = cross_val_score(c... |
def load_(self, h): return 1 | def compute_svm_subjects(K, y, n_folds=5):
"""
"""
cv = KFold(len(K)/2, n_folds)
scores = np.zeros(n_folds)
for i, (train, test) in enumerate(cv):
train_ids = np.concatenate((train, len(K)/2+train))
test_ids = np.concatenate((test, len(K)/2+test))
clf = SVC(kernel='precompute... |
def load_(self, h): return 1 | def permutation_subjects(y):
"""Permute class labels of Contextual Disorder dataset.
"""
y_perm = np.random.randint(0, 2, len(y)/2)
y_perm = np.concatenate((y_perm, np.logical_not(y_perm).astype(int)))
return y_perm |
def load_(self, h): return 1 | def permutation_subjects_ktst(y):
"""Permute class labels of Contextual Disorder dataset for KTST.
"""
yp = np.random.randint(0, 2, len(y)/2)
yp = np.concatenate((yp, np.logical_not(yp).astype(int)))
y_perm = np.arange(len(y))
for i in range(len(y)/2):
if yp[i] == 1:
y_perm[i... |
def load_(self, h): return 1 | def compute_svm_score_nestedCV(K, y, n_folds,
scoring=balanced_accuracy_scoring,
random_state=None,
param_grid=[{'C': np.logspace(-5, 5, 25)}]):
"""Compute cross-validated score of SVM using precomputed kernel.
"""
... |
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