_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q230200 | Gate.run | train | def run(self, ket: State) -> State:
"""Apply the action of this gate upon a state"""
qubits = self.qubits
indices = [ket.qubits.index(q) for q in qubits]
tensor = bk.tensormul(self.tensor, ket.tensor, indices)
return State(tensor, ket.qubits, ket.memory) | python | {
"resource": ""
} |
q230201 | Gate.evolve | train | def evolve(self, rho: Density) -> Density:
"""Apply the action of this gate upon a density"""
# TODO: implement without explicit channel creation?
chan = self.aschannel()
return chan.evolve(rho) | python | {
"resource": ""
} |
q230202 | Gate.aschannel | train | def aschannel(self) -> 'Channel':
"""Converts a Gate into a Channel"""
N = self.qubit_nb
R = 4
tensor = bk.outer(self.tensor, self.H.tensor)
tensor = bk.reshape(tensor, [2**N]*R)
tensor = bk.transpose(tensor, [0, 3, 1, 2])
return Channel(tensor, self.qubits) | python | {
"resource": ""
} |
q230203 | Gate.su | train | def su(self) -> 'Gate':
"""Convert gate tensor to the special unitary group."""
rank = 2**self.qubit_nb
U = asarray(self.asoperator())
U /= np.linalg.det(U) ** (1/rank)
return Gate(tensor=U, qubits=self.qubits) | python | {
"resource": ""
} |
q230204 | Channel.relabel | train | def relabel(self, qubits: Qubits) -> 'Channel':
"""Return a copy of this channel with new qubits"""
chan = copy(self)
chan.vec = chan.vec.relabel(qubits)
return chan | python | {
"resource": ""
} |
q230205 | Channel.permute | train | def permute(self, qubits: Qubits) -> 'Channel':
"""Return a copy of this channel with qubits in new order"""
vec = self.vec.permute(qubits)
return Channel(vec.tensor, qubits=vec.qubits) | python | {
"resource": ""
} |
q230206 | Channel.sharp | train | def sharp(self) -> 'Channel':
r"""Return the 'sharp' transpose of the superoperator.
The transpose :math:`S^\#` switches the two covariant (bra)
indices of the superoperator. (Which in our representation
are the 2nd and 3rd super-indices)
If :math:`S^\#` is Hermitian, then :mat... | python | {
"resource": ""
} |
q230207 | Channel.choi | train | def choi(self) -> bk.BKTensor:
"""Return the Choi matrix representation of this super
operator"""
# Put superop axes in [ok, ib, ob, ik] and reshape to matrix
N = self.qubit_nb
return bk.reshape(self.sharp.tensor, [2**(N*2)] * 2) | python | {
"resource": ""
} |
q230208 | Channel.evolve | train | def evolve(self, rho: Density) -> Density:
"""Apply the action of this channel upon a density"""
N = rho.qubit_nb
qubits = rho.qubits
indices = list([qubits.index(q) for q in self.qubits]) + \
list([qubits.index(q) + N for q in self.qubits])
tensor = bk.tensormul(se... | python | {
"resource": ""
} |
q230209 | fcast | train | def fcast(value: float) -> TensorLike:
"""Cast to float tensor"""
newvalue = tf.cast(value, FTYPE)
if DEVICE == 'gpu':
newvalue = newvalue.gpu() # Why is this needed? # pragma: no cover
return newvalue | python | {
"resource": ""
} |
q230210 | astensor | train | def astensor(array: TensorLike) -> BKTensor:
"""Convert to product tensor"""
tensor = tf.convert_to_tensor(array, dtype=CTYPE)
if DEVICE == 'gpu':
tensor = tensor.gpu() # pragma: no cover
# size = np.prod(np.array(tensor.get_shape().as_list()))
N = int(math.log2(size(tensor)))
tensor =... | python | {
"resource": ""
} |
q230211 | count_operations | train | def count_operations(elements: Iterable[Operation]) \
-> Dict[Type[Operation], int]:
"""Return a count of different operation types given a colelction of
operations, such as a Circuit or DAGCircuit
"""
op_count: Dict[Type[Operation], int] = defaultdict(int)
for elem in elements:
op_c... | python | {
"resource": ""
} |
q230212 | map_gate | train | def map_gate(gate: Gate, args: Sequence[Qubits]) -> Circuit:
"""Applies the same gate all input qubits in the argument list.
>>> circ = qf.map_gate(qf.H(), [[0], [1], [2]])
>>> print(circ)
H(0)
H(1)
H(2)
"""
circ = Circuit()
for qubits in args:
circ += gate.relabel(qubits)... | python | {
"resource": ""
} |
q230213 | qft_circuit | train | def qft_circuit(qubits: Qubits) -> Circuit:
"""Returns the Quantum Fourier Transform circuit"""
# Kudos: Adapted from Rigetti Grove, grove/qft/fourier.py
N = len(qubits)
circ = Circuit()
for n0 in range(N):
q0 = qubits[n0]
circ += H(q0)
for n1 in range(n0+1, N):
... | python | {
"resource": ""
} |
q230214 | reversal_circuit | train | def reversal_circuit(qubits: Qubits) -> Circuit:
"""Returns a circuit to reverse qubits"""
N = len(qubits)
circ = Circuit()
for n in range(N // 2):
circ += SWAP(qubits[n], qubits[N-1-n])
return circ | python | {
"resource": ""
} |
q230215 | zyz_circuit | train | def zyz_circuit(t0: float, t1: float, t2: float, q0: Qubit) -> Circuit:
"""Circuit equivalent of 1-qubit ZYZ gate"""
circ = Circuit()
circ += TZ(t0, q0)
circ += TY(t1, q0)
circ += TZ(t2, q0)
return circ | python | {
"resource": ""
} |
q230216 | phase_estimation_circuit | train | def phase_estimation_circuit(gate: Gate, outputs: Qubits) -> Circuit:
"""Returns a circuit for quantum phase estimation.
The gate has an eigenvector with eigenvalue e^(i 2 pi phase). To
run the circuit, the eigenvector should be set on the gate qubits,
and the output qubits should be in the zero state.... | python | {
"resource": ""
} |
q230217 | ghz_circuit | train | def ghz_circuit(qubits: Qubits) -> Circuit:
"""Returns a circuit that prepares a multi-qubit Bell state from the zero
state.
"""
circ = Circuit()
circ += H(qubits[0])
for q0 in range(0, len(qubits)-1):
circ += CNOT(qubits[q0], qubits[q0+1])
return circ | python | {
"resource": ""
} |
q230218 | Circuit.extend | train | def extend(self, other: Operation) -> None:
"""Append gates from circuit to the end of this circuit"""
if isinstance(other, Circuit):
self.elements.extend(other.elements)
else:
self.elements.extend([other]) | python | {
"resource": ""
} |
q230219 | Circuit.run | train | def run(self, ket: State = None) -> State:
"""
Apply the action of this circuit upon a state.
If no initial state provided an initial zero state will be created.
"""
if ket is None:
qubits = self.qubits
ket = zero_state(qubits=qubits)
for elem in... | python | {
"resource": ""
} |
q230220 | Circuit.asgate | train | def asgate(self) -> Gate:
"""
Return the action of this circuit as a gate
"""
gate = identity_gate(self.qubits)
for elem in self.elements:
gate = elem.asgate() @ gate
return gate | python | {
"resource": ""
} |
q230221 | join_channels | train | def join_channels(*channels: Channel) -> Channel:
"""Join two channels acting on different qubits into a single channel
acting on all qubits"""
vectors = [chan.vec for chan in channels]
vec = reduce(outer_product, vectors)
return Channel(vec.tensor, vec.qubits) | python | {
"resource": ""
} |
q230222 | channel_to_kraus | train | def channel_to_kraus(chan: Channel) -> 'Kraus':
"""Convert a channel superoperator into a Kraus operator representation
of the same channel."""
qubits = chan.qubits
N = chan.qubit_nb
choi = asarray(chan.choi())
evals, evecs = np.linalg.eig(choi)
evecs = np.transpose(evecs)
assert np.al... | python | {
"resource": ""
} |
q230223 | Kraus.run | train | def run(self, ket: State) -> State:
"""Apply the action of this Kraus quantum operation upon a state"""
res = [op.run(ket) for op in self.operators]
probs = [asarray(ket.norm()) * w for ket, w in zip(res, self.weights)]
probs = np.asarray(probs)
probs /= np.sum(probs)
new... | python | {
"resource": ""
} |
q230224 | Kraus.evolve | train | def evolve(self, rho: Density) -> Density:
"""Apply the action of this Kraus quantum operation upon a density"""
qubits = rho.qubits
results = [op.evolve(rho) for op in self.operators]
tensors = [rho.tensor * w for rho, w in zip(results, self.weights)]
tensor = reduce(add, tensor... | python | {
"resource": ""
} |
q230225 | Kraus.H | train | def H(self) -> 'Kraus':
"""Return the complex conjugate of this Kraus operation"""
operators = [op.H for op in self.operators]
return Kraus(operators, self.weights) | python | {
"resource": ""
} |
q230226 | UnitaryMixture.asgate | train | def asgate(self) -> Gate:
"""Return one of the composite Kraus operators at random with
the appropriate weights"""
return np.random.choice(self.operators, p=self.weights) | python | {
"resource": ""
} |
q230227 | _display_layers | train | def _display_layers(circ: Circuit, qubits: Qubits) -> Circuit:
"""Separate a circuit into groups of gates that do not visually overlap"""
N = len(qubits)
qubit_idx = dict(zip(qubits, range(N)))
gate_layers = DAGCircuit(circ).layers()
layers = []
lcirc = Circuit()
layers.append(lcirc)
un... | python | {
"resource": ""
} |
q230228 | render_latex | train | def render_latex(latex: str) -> PIL.Image: # pragma: no cover
"""
Convert a single page LaTeX document into an image.
To display the returned image, `img.show()`
Required external dependencies: `pdflatex` (with `qcircuit` package),
and `poppler` (for `pdftocairo`).
Args:
A LaTeX... | python | {
"resource": ""
} |
q230229 | circuit_to_image | train | def circuit_to_image(circ: Circuit,
qubits: Qubits = None) -> PIL.Image: # pragma: no cover
"""Create an image of a quantum circuit.
A convenience function that calls circuit_to_latex() and render_latex().
Args:
circ: A quantum Circuit
qubits: Optional qubi... | python | {
"resource": ""
} |
q230230 | _latex_format | train | def _latex_format(obj: Any) -> str:
"""Format an object as a latex string."""
if isinstance(obj, float):
try:
return sympy.latex(symbolize(obj))
except ValueError:
return "{0:.4g}".format(obj)
return str(obj) | python | {
"resource": ""
} |
q230231 | fit_zyz | train | def fit_zyz(target_gate):
"""
Tensorflow eager mode example. Given an arbitrary one-qubit gate, use
gradient descent to find corresponding parameters of a universal ZYZ
gate.
"""
assert bk.BACKEND == 'eager'
tf = bk.TL
tfe = bk.tfe
steps = 4000
dev = '/gpu:0' if bk.DEVICE == '... | python | {
"resource": ""
} |
q230232 | print_versions | train | def print_versions(file: typing.TextIO = None) -> None:
"""
Print version strings of currently installed dependencies
``> python -m quantumflow.meta``
Args:
file: Output stream. Defaults to stdout.
"""
print('** QuantumFlow dependencies (> python -m quantumflow.meta) **')
print(... | python | {
"resource": ""
} |
q230233 | fit_zyz | train | def fit_zyz(target_gate):
"""
Tensorflow example. Given an arbitrary one-qubit gate, use gradient
descent to find corresponding parameters of a universal ZYZ gate.
"""
assert bk.BACKEND == 'tensorflow'
tf = bk.TL
steps = 4000
t = tf.get_variable('t', [3])
gate = qf.ZYZ(t[0], t[1],... | python | {
"resource": ""
} |
q230234 | zyz_decomposition | train | def zyz_decomposition(gate: Gate) -> Circuit:
"""
Returns the Euler Z-Y-Z decomposition of a local 1-qubit gate.
"""
if gate.qubit_nb != 1:
raise ValueError('Expected 1-qubit gate')
q, = gate.qubits
U = asarray(gate.asoperator())
U /= np.linalg.det(U) ** (1/2) # SU(2)
if ab... | python | {
"resource": ""
} |
q230235 | kronecker_decomposition | train | def kronecker_decomposition(gate: Gate) -> Circuit:
"""
Decompose a 2-qubit unitary composed of two 1-qubit local gates.
Uses the "Nearest Kronecker Product" algorithm. Will give erratic
results if the gate is not the direct product of two 1-qubit gates.
"""
# An alternative approach would be t... | python | {
"resource": ""
} |
q230236 | canonical_coords | train | def canonical_coords(gate: Gate) -> Sequence[float]:
"""Returns the canonical coordinates of a 2-qubit gate"""
circ = canonical_decomposition(gate)
gate = circ.elements[6] # type: ignore
params = [gate.params[key] for key in ('tx', 'ty', 'tz')]
return params | python | {
"resource": ""
} |
q230237 | _eig_complex_symmetric | train | def _eig_complex_symmetric(M: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
"""Diagonalize a complex symmetric matrix. The eigenvalues are
complex, and the eigenvectors form an orthogonal matrix.
Returns:
eigenvalues, eigenvectors
"""
if not np.allclose(M, M.transpose()):
raise np.... | python | {
"resource": ""
} |
q230238 | maxcut_qaoa | train | def maxcut_qaoa(
graph,
steps=DEFAULT_STEPS,
learning_rate=LEARNING_RATE,
verbose=False):
"""QAOA Maxcut using tensorflow"""
if not isinstance(graph, nx.Graph):
graph = nx.from_edgelist(graph)
init_scale = 0.01
init_bias = 0.5
init_beta = normal(loc=init_bi... | python | {
"resource": ""
} |
q230239 | identity_gate | train | def identity_gate(qubits: Union[int, Qubits]) -> Gate:
"""Returns the K-qubit identity gate"""
_, qubits = qubits_count_tuple(qubits)
return I(*qubits) | python | {
"resource": ""
} |
q230240 | join_gates | train | def join_gates(*gates: Gate) -> Gate:
"""Direct product of two gates. Qubit count is the sum of each gate's
bit count."""
vectors = [gate.vec for gate in gates]
vec = reduce(outer_product, vectors)
return Gate(vec.tensor, vec.qubits) | python | {
"resource": ""
} |
q230241 | control_gate | train | def control_gate(control: Qubit, gate: Gate) -> Gate:
"""Return a controlled unitary gate. Given a gate acting on K qubits,
return a new gate on K+1 qubits prepended with a control bit. """
if control in gate.qubits:
raise ValueError('Gate and control qubits overlap')
qubits = [control, *gate.... | python | {
"resource": ""
} |
q230242 | conditional_gate | train | def conditional_gate(control: Qubit, gate0: Gate, gate1: Gate) -> Gate:
"""Return a conditional unitary gate. Do gate0 on bit 1 if bit 0 is zero,
else do gate1 on 1"""
assert gate0.qubits == gate1.qubits # FIXME
tensor = join_gates(P0(control), gate0).tensor
tensor += join_gates(P1(control), gate1... | python | {
"resource": ""
} |
q230243 | print_gate | train | def print_gate(gate: Gate, ndigits: int = 2,
file: TextIO = None) -> None:
"""Pretty print a gate tensor
Args:
gate:
ndigits:
file: Stream to which to write. Defaults to stdout
"""
N = gate.qubit_nb
gate_tensor = gate.vec.asarray()
lines = []
for index... | python | {
"resource": ""
} |
q230244 | random_gate | train | def random_gate(qubits: Union[int, Qubits]) -> Gate:
r"""Returns a random unitary gate on K qubits.
Ref:
"How to generate random matrices from the classical compact groups"
Francesco Mezzadri, math-ph/0609050
"""
N, qubits = qubits_count_tuple(qubits)
unitary = scipy.stats.unitary_g... | python | {
"resource": ""
} |
q230245 | has_function | train | def has_function(function_name, libraries=None):
"""Checks if a given functions exists in the current platform."""
compiler = distutils.ccompiler.new_compiler()
with muted(sys.stdout, sys.stderr):
result = compiler.has_function(
function_name, libraries=libraries)
if os.path.exists('a.out'):
os.... | python | {
"resource": ""
} |
q230246 | Backend.handle_agent_message | train | async def handle_agent_message(self, agent_addr, message):
"""Dispatch messages received from agents to the right handlers"""
message_handlers = {
AgentHello: self.handle_agent_hello,
AgentJobStarted: self.handle_agent_job_started,
AgentJobDone: self.handle_agent_job_... | python | {
"resource": ""
} |
q230247 | Backend.handle_client_hello | train | async def handle_client_hello(self, client_addr, _: ClientHello):
""" Handle an ClientHello message. Send available containers to the client """
self._logger.info("New client connected %s", client_addr)
self._registered_clients.add(client_addr)
await self.send_container_update_to_client(... | python | {
"resource": ""
} |
q230248 | Backend.handle_client_ping | train | async def handle_client_ping(self, client_addr, _: Ping):
""" Handle an Ping message. Pong the client """
await ZMQUtils.send_with_addr(self._client_socket, client_addr, Pong()) | python | {
"resource": ""
} |
q230249 | Backend.handle_client_new_job | train | async def handle_client_new_job(self, client_addr, message: ClientNewJob):
""" Handle an ClientNewJob message. Add a job to the queue and triggers an update """
self._logger.info("Adding a new job %s %s to the queue", client_addr, message.job_id)
self._waiting_jobs[(client_addr, message.job_id)]... | python | {
"resource": ""
} |
q230250 | Backend.handle_client_kill_job | train | async def handle_client_kill_job(self, client_addr, message: ClientKillJob):
""" Handle an ClientKillJob message. Remove a job from the waiting list or send the kill message to the right agent. """
# Check if the job is not in the queue
if (client_addr, message.job_id) in self._waiting_jobs:
... | python | {
"resource": ""
} |
q230251 | Backend.handle_client_get_queue | train | async def handle_client_get_queue(self, client_addr, _: ClientGetQueue):
""" Handles a ClientGetQueue message. Send back info about the job queue"""
#jobs_running: a list of tuples in the form
#(job_id, is_current_client_job, agent_name, info, launcher, started_at, max_end)
jobs_running ... | python | {
"resource": ""
} |
q230252 | Backend.update_queue | train | async def update_queue(self):
"""
Send waiting jobs to available agents
"""
# For now, round-robin
not_found_for_agent = []
while len(self._available_agents) > 0 and len(self._waiting_jobs) > 0:
agent_addr = self._available_agents.pop(0)
# Find ... | python | {
"resource": ""
} |
q230253 | Backend.handle_agent_hello | train | async def handle_agent_hello(self, agent_addr, message: AgentHello):
"""
Handle an AgentAvailable message. Add agent_addr to the list of available agents
"""
self._logger.info("Agent %s (%s) said hello", agent_addr, message.friendly_name)
if agent_addr in self._registered_agents... | python | {
"resource": ""
} |
q230254 | Backend.handle_agent_job_started | train | async def handle_agent_job_started(self, agent_addr, message: AgentJobStarted):
"""Handle an AgentJobStarted message. Send the data back to the client"""
self._logger.debug("Job %s %s started on agent %s", message.job_id[0], message.job_id[1], agent_addr)
await ZMQUtils.send_with_addr(self._clie... | python | {
"resource": ""
} |
q230255 | Backend.handle_agent_job_done | train | async def handle_agent_job_done(self, agent_addr, message: AgentJobDone):
"""Handle an AgentJobDone message. Send the data back to the client, and start new job if needed"""
if agent_addr in self._registered_agents:
self._logger.info("Job %s %s finished on agent %s", message.job_id[0], mess... | python | {
"resource": ""
} |
q230256 | Backend.handle_agent_job_ssh_debug | train | async def handle_agent_job_ssh_debug(self, _, message: AgentJobSSHDebug):
"""Handle an AgentJobSSHDebug message. Send the data back to the client"""
await ZMQUtils.send_with_addr(self._client_socket, message.job_id[0], BackendJobSSHDebug(message.job_id[1], message.host, message.port,
... | python | {
"resource": ""
} |
q230257 | Backend._do_ping | train | async def _do_ping(self):
""" Ping the agents """
# the list() call here is needed, as we remove entries from _registered_agents!
for agent_addr, friendly_name in list(self._registered_agents.items()):
try:
ping_count = self._ping_count.get(agent_addr, 0)
... | python | {
"resource": ""
} |
q230258 | Backend._delete_agent | train | async def _delete_agent(self, agent_addr):
""" Deletes an agent """
self._available_agents = [agent for agent in self._available_agents if agent != agent_addr]
del self._registered_agents[agent_addr]
await self._recover_jobs(agent_addr) | python | {
"resource": ""
} |
q230259 | Backend._recover_jobs | train | async def _recover_jobs(self, agent_addr):
""" Recover the jobs sent to a crashed agent """
for (client_addr, job_id), (agent, job_msg, _) in reversed(list(self._job_running.items())):
if agent == agent_addr:
await ZMQUtils.send_with_addr(self._client_socket, client_addr,
... | python | {
"resource": ""
} |
q230260 | parse_date | train | def parse_date(date, default=None):
""" Parse a valid date """
if date == "":
if default is not None:
return default
else:
raise Exception("Unknown format for " + date)
for format_type in ["%Y-%m-%d %H:%M:%S", "%Y-%m-%d %H:%M", "%Y-%m-%d %H", "%Y-%m-%d", "%d/%m/%Y %H... | python | {
"resource": ""
} |
q230261 | RegistrationPage.GET | train | def GET(self):
""" Handles GET request """
if self.user_manager.session_logged_in() or not self.app.allow_registration:
raise web.notfound()
error = False
reset = None
msg = ""
data = web.input()
if "activate" in data:
msg, error = self.a... | python | {
"resource": ""
} |
q230262 | RegistrationPage.get_reset_data | train | def get_reset_data(self, data):
""" Returns the user info to reset """
error = False
reset = None
msg = ""
user = self.database.users.find_one({"reset": data["reset"]})
if user is None:
error = True
msg = "Invalid reset hash."
else:
... | python | {
"resource": ""
} |
q230263 | RegistrationPage.register_user | train | def register_user(self, data):
""" Parses input and register user """
error = False
msg = ""
email_re = re.compile(
r"(^[-!#$%&'*+/=?^_`{}|~0-9A-Z]+(\.[-!#$%&'*+/=?^_`{}|~0-9A-Z]+)*" # dot-atom
r'|^"([\001-\010\013\014\016-\037!#-\[\]-\177]|\\[\001-011\013\014\0... | python | {
"resource": ""
} |
q230264 | RegistrationPage.lost_passwd | train | def lost_passwd(self, data):
""" Send a reset link to user to recover its password """
error = False
msg = ""
# Check input format
email_re = re.compile(
r"(^[-!#$%&'*+/=?^_`{}|~0-9A-Z]+(\.[-!#$%&'*+/=?^_`{}|~0-9A-Z]+)*" # dot-atom
r'|^"([\001-\010\013\0... | python | {
"resource": ""
} |
q230265 | RegistrationPage.reset_passwd | train | def reset_passwd(self, data):
""" Reset the user password """
error = False
msg = ""
# Check input format
if len(data["passwd"]) < 6:
error = True
msg = _("Password too short.")
elif data["passwd"] != data["passwd2"]:
error = True
... | python | {
"resource": ""
} |
q230266 | RegistrationPage.POST | train | def POST(self):
""" Handles POST request """
if self.user_manager.session_logged_in() or not self.app.allow_registration:
raise web.notfound()
reset = None
msg = ""
error = False
data = web.input()
if "register" in data:
msg, error = self.... | python | {
"resource": ""
} |
q230267 | TaskFactory.get_readable_tasks | train | def get_readable_tasks(self, course):
""" Returns the list of all available tasks in a course """
course_fs = self._filesystem.from_subfolder(course.get_id())
tasks = [
task[0:len(task)-1] # remove trailing /
for task in course_fs.list(folders=True, files=False, recursiv... | python | {
"resource": ""
} |
q230268 | TaskFactory._task_file_exists | train | def _task_file_exists(self, task_fs):
""" Returns true if a task file exists in this directory """
for filename in ["task.{}".format(ext) for ext in self.get_available_task_file_extensions()]:
if task_fs.exists(filename):
return True
return False | python | {
"resource": ""
} |
q230269 | TaskFactory.delete_all_possible_task_files | train | def delete_all_possible_task_files(self, courseid, taskid):
""" Deletes all possibles task files in directory, to allow to change the format """
if not id_checker(courseid):
raise InvalidNameException("Course with invalid name: " + courseid)
if not id_checker(taskid):
rai... | python | {
"resource": ""
} |
q230270 | prepare_request | train | def prepare_request(settings):
""" Prepare SAML request """
# Set the ACS url and binding method
settings["sp"]["assertionConsumerService"] = {
"url": web.ctx.homedomain + web.ctx.homepath + "/auth/callback/" + settings["id"],
"binding": "urn:oasis:names:tc:SAML:2.0:bindings:HTTP-POST"
... | python | {
"resource": ""
} |
q230271 | FileSystemProvider._checkpath | train | def _checkpath(self, path):
""" Checks that a given path is valid. If it's not, raises NotFoundException """
if path.startswith("/") or ".." in path or path.strip() != path:
raise NotFoundException() | python | {
"resource": ""
} |
q230272 | APICourses.API_GET | train | def API_GET(self, courseid=None): # pylint: disable=arguments-differ
"""
List courses available to the connected client. Returns a dict in the form
::
{
"courseid1":
{
"name": "Name of the course", #th... | python | {
"resource": ""
} |
q230273 | _api_convert_output | train | def _api_convert_output(return_value):
""" Convert the output to what the client asks """
content_type = web.ctx.environ.get('CONTENT_TYPE', 'text/json')
if "text/json" in content_type:
web.header('Content-Type', 'text/json; charset=utf-8')
return json.dumps(return_value)
if "text/html"... | python | {
"resource": ""
} |
q230274 | APIPage._handle_api | train | def _handle_api(self, handler, handler_args, handler_kwargs):
""" Handle call to subclasses and convert the output to an appropriate value """
try:
status_code, return_value = handler(*handler_args, **handler_kwargs)
except APIError as error:
return error.send()
... | python | {
"resource": ""
} |
q230275 | APIPage._guess_available_methods | train | def _guess_available_methods(self):
""" Guess the method implemented by the subclass"""
available_methods = []
for m in ["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD", "OPTIONS"]:
self_method = getattr(type(self), "API_{}".format(m))
super_method = getattr(APIPage, "API... | python | {
"resource": ""
} |
q230276 | APIAuthenticatedPage._verify_authentication | train | def _verify_authentication(self, handler, args, kwargs):
""" Verify that the user is authenticated """
if not self.user_manager.session_logged_in():
raise APIForbidden()
return handler(*args, **kwargs) | python | {
"resource": ""
} |
q230277 | APIError.send | train | def send(self):
""" Send the API Exception to the client """
web.ctx.status = _convert_http_status(self.status_code)
return _api_convert_output(self.return_value) | python | {
"resource": ""
} |
q230278 | WebAppSubmissionManager._job_done_callback | train | def _job_done_callback(self, submissionid, task, result, grade, problems, tests, custom, state, archive, stdout, stderr, newsub=True):
""" Callback called by Client when a job is done. Updates the submission in the database with the data returned after the completion of the
job """
submission = ... | python | {
"resource": ""
} |
q230279 | WebAppSubmissionManager._before_submission_insertion | train | def _before_submission_insertion(self, task, inputdata, debug, obj):
"""
Called before any new submission is inserted into the database. Allows you to modify obj, the new document that will be inserted into the
database. Should be overridden in subclasses.
:param task: Task related to t... | python | {
"resource": ""
} |
q230280 | WebAppSubmissionManager.get_submission | train | def get_submission(self, submissionid, user_check=True):
""" Get a submission from the database """
sub = self._database.submissions.find_one({'_id': ObjectId(submissionid)})
if user_check and not self.user_is_submission_owner(sub):
return None
return sub | python | {
"resource": ""
} |
q230281 | WebAppSubmissionManager._delete_exceeding_submissions | train | def _delete_exceeding_submissions(self, username, task, max_submissions_bound=-1):
""" Deletes exceeding submissions from the database, to keep the database relatively small """
if max_submissions_bound <= 0:
max_submissions = task.get_stored_submissions()
elif task.get_stored_submi... | python | {
"resource": ""
} |
q230282 | WebAppSubmissionManager.is_done | train | def is_done(self, submissionid_or_submission, user_check=True):
""" Tells if a submission is done and its result is available """
# TODO: not a very nice way to avoid too many database call. Should be refactored.
if isinstance(submissionid_or_submission, dict):
submission = submissio... | python | {
"resource": ""
} |
q230283 | WebAppSubmissionManager.user_is_submission_owner | train | def user_is_submission_owner(self, submission):
""" Returns true if the current user is the owner of this jobid, false else """
if not self._user_manager.session_logged_in():
raise Exception("A user must be logged in to verify if he owns a jobid")
return self._user_manager.session_u... | python | {
"resource": ""
} |
q230284 | WebAppSubmissionManager.get_user_submissions | train | def get_user_submissions(self, task):
""" Get all the user's submissions for a given task """
if not self._user_manager.session_logged_in():
raise Exception("A user must be logged in to get his submissions")
cursor = self._database.submissions.find({"username": self._user_manager.se... | python | {
"resource": ""
} |
q230285 | WebAppSubmissionManager.get_user_last_submissions | train | def get_user_last_submissions(self, limit=5, request=None):
""" Get last submissions of a user """
if request is None:
request = {}
request.update({"username": self._user_manager.session_username()})
# Before, submissions were first sorted by submission date, then grouped
... | python | {
"resource": ""
} |
q230286 | WebAppSubmissionManager._handle_ssh_callback | train | def _handle_ssh_callback(self, submission_id, host, port, password):
""" Handles the creation of a remote ssh server """
if host is not None: # ignore late calls (a bit hacky, but...)
obj = {
"ssh_host": host,
"ssh_port": port,
"ssh_password":... | python | {
"resource": ""
} |
q230287 | filesystem_from_config_dict | train | def filesystem_from_config_dict(config_fs):
""" Given a dict containing an entry "module" which contains a FSProvider identifier, parse the configuration and returns a fs_provider.
Exits if there is an error.
"""
if "module" not in config_fs:
print("Key 'module' should be defined for the fil... | python | {
"resource": ""
} |
q230288 | TimeoutWatcher._kill_it_with_fire | train | async def _kill_it_with_fire(self, container_id):
"""
Kill a container, with fire.
"""
if container_id in self._watching:
self._watching.remove(container_id)
self._container_had_error.add(container_id)
try:
await self._docker_interface.... | python | {
"resource": ""
} |
q230289 | CookieLessCompatibleSession._cleanup | train | def _cleanup(self):
"""Cleanup the stored sessions"""
current_time = time.time()
timeout = self._config.timeout
if current_time - self._last_cleanup_time > timeout:
self.store.cleanup(timeout)
self._last_cleanup_time = current_time | python | {
"resource": ""
} |
q230290 | CookieLessCompatibleSession.expired | train | def expired(self):
"""Called when an expired session is atime"""
self._data["_killed"] = True
self.save()
raise SessionExpired(self._config.expired_message) | python | {
"resource": ""
} |
q230291 | DeletePage.delete_account | train | def delete_account(self, data):
""" Delete account from DB """
error = False
msg = ""
username = self.user_manager.session_username()
# Check input format
result = self.database.users.find_one_and_delete({"username": username,
... | python | {
"resource": ""
} |
q230292 | dump | train | def dump(data, stream=None, **kwds):
"""
Serialize a Python object into a YAML stream.
If stream is None, return the produced string instead.
Dict keys are produced in the order in which they appear in OrderedDicts.
Safe version.
If objects are not "conventional" objects, t... | python | {
"resource": ""
} |
q230293 | APITasks._check_for_parsable_text | train | def _check_for_parsable_text(self, val):
""" Util to remove parsable text from a dict, recursively """
if isinstance(val, ParsableText):
return val.original_content()
if isinstance(val, list):
for key, val2 in enumerate(val):
val[key] = self._check_for_par... | python | {
"resource": ""
} |
q230294 | APITasks.API_GET | train | def API_GET(self, courseid, taskid=None): # pylint: disable=arguments-differ
"""
List tasks available to the connected client. Returns a dict in the form
::
{
"taskid1":
{
"name": "Name of the course", ... | python | {
"resource": ""
} |
q230295 | load_input | train | def load_input():
""" Open existing input file """
file = open(_input_file, 'r')
result = json.loads(file.read().strip('\0').strip())
file.close()
return result | python | {
"resource": ""
} |
q230296 | parse_template | train | def parse_template(input_filename, output_filename=''):
""" Parses a template file
Replaces all occurences of @@problem_id@@ by the value
of the 'problem_id' key in data dictionary
input_filename: file to parse
output_filename: if not specified, overwrite input file
"""
... | python | {
"resource": ""
} |
q230297 | _callable_once | train | def _callable_once(func):
""" Returns a function that is only callable once; any other call will do nothing """
def once(*args, **kwargs):
if not once.called:
once.called = True
return func(*args, **kwargs)
once.called = False
return once | python | {
"resource": ""
} |
q230298 | Client._ask_queue_update | train | async def _ask_queue_update(self):
""" Send a ClientGetQueue message to the backend, if one is not already sent """
try:
while True:
await asyncio.sleep(self._queue_update_timer)
if self._queue_update_last_attempt == 0 or self._queue_update_last_attempt > self... | python | {
"resource": ""
} |
q230299 | Client._handle_job_queue_update | train | async def _handle_job_queue_update(self, message: BackendGetQueue):
""" Handles a BackendGetQueue containing a snapshot of the job queue """
self._logger.debug("Received job queue update")
self._queue_update_last_attempt = 0
self._queue_cache = message
# Do some precomputation
... | python | {
"resource": ""
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.