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quantumlib/Cirq
cirq/google/sim/xmon_simulator.py
XmonSimulator._run
def _run( self, circuit: circuits.Circuit, param_resolver: study.ParamResolver, repetitions: int, ) -> Dict[str, List[np.ndarray]]: """See definition in `cirq.SimulatesSamples`.""" circuit = protocols.resolve_parameters(circuit, param_resolver) _verify_xmon_c...
python
def _run( self, circuit: circuits.Circuit, param_resolver: study.ParamResolver, repetitions: int, ) -> Dict[str, List[np.ndarray]]: """See definition in `cirq.SimulatesSamples`.""" circuit = protocols.resolve_parameters(circuit, param_resolver) _verify_xmon_c...
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See definition in `cirq.SimulatesSamples`.
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/google/sim/xmon_simulator.py#L144-L159
train
Runs the sweeps for the given set of time - related objects.
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quantumlib/Cirq
cirq/google/sim/xmon_simulator.py
XmonSimulator._base_iterator
def _base_iterator( self, circuit: circuits.Circuit, qubit_order: ops.QubitOrderOrList, initial_state: Union[int, np.ndarray], perform_measurements: bool=True, ) -> Iterator['XmonStepResult']: """See definition in `cirq.SimulatesIntermediateState`. If the ini...
python
def _base_iterator( self, circuit: circuits.Circuit, qubit_order: ops.QubitOrderOrList, initial_state: Union[int, np.ndarray], perform_measurements: bool=True, ) -> Iterator['XmonStepResult']: """See definition in `cirq.SimulatesIntermediateState`. If the ini...
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See definition in `cirq.SimulatesIntermediateState`. If the initial state is an int, the state is set to the computational basis state corresponding to this state. Otherwise if the initial state is a np.ndarray it is the full initial state. In this case it must be the correct size, be ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/google/sim/xmon_simulator.py#L211-L290
train
A base iterator for the internal state of the system.
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quantumlib/Cirq
cirq/google/sim/xmon_simulator.py
XmonStepResult.set_state_vector
def set_state_vector(self, state: Union[int, np.ndarray]): """Updates the state of the simulator to the given new state. Args: state: If this is an int, then this is the state to reset the stepper to, expressed as an integer of the computational basis. Integer to bit...
python
def set_state_vector(self, state: Union[int, np.ndarray]): """Updates the state of the simulator to the given new state. Args: state: If this is an int, then this is the state to reset the stepper to, expressed as an integer of the computational basis. Integer to bit...
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Updates the state of the simulator to the given new state. Args: state: If this is an int, then this is the state to reset the stepper to, expressed as an integer of the computational basis. Integer to bitwise indices is little endian. Otherwise if this is a np.n...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/google/sim/xmon_simulator.py#L356-L370
train
Updates the state of the simulator to the given state.
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quantumlib/Cirq
cirq/google/sim/xmon_simulator.py
XmonStepResult.sample
def sample(self, qubits: List[ops.Qid], repetitions: int=1): """Samples from the wave function at this point in the computation. Note that this does not collapse the wave function. Returns: Measurement results with True corresponding to the `|1>` state. The outer list i...
python
def sample(self, qubits: List[ops.Qid], repetitions: int=1): """Samples from the wave function at this point in the computation. Note that this does not collapse the wave function. Returns: Measurement results with True corresponding to the `|1>` state. The outer list i...
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Samples from the wave function at this point in the computation. Note that this does not collapse the wave function. Returns: Measurement results with True corresponding to the `|1>` state. The outer list is for repetitions, and the inner corresponds to measurements...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/google/sim/xmon_simulator.py#L372-L384
train
Samples from the wave function at this point in the computation.
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quantumlib/Cirq
cirq/devices/noise_model.py
NoiseModel.noisy_moments
def noisy_moments(self, moments: 'Iterable[cirq.Moment]', system_qubits: Sequence['cirq.Qid'] ) -> Sequence['cirq.OP_TREE']: """Adds possibly stateful noise to a series of moments. Args: moments: The moments to add noise to. system_qubi...
python
def noisy_moments(self, moments: 'Iterable[cirq.Moment]', system_qubits: Sequence['cirq.Qid'] ) -> Sequence['cirq.OP_TREE']: """Adds possibly stateful noise to a series of moments. Args: moments: The moments to add noise to. system_qubi...
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Adds possibly stateful noise to a series of moments. Args: moments: The moments to add noise to. system_qubits: A list of all qubits in the system. Returns: A sequence of OP_TREEs, with the k'th tree corresponding to the noisy operations for the k'th mom...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/devices/noise_model.py#L48-L73
train
Adds possibly stateful noise to a series of moments.
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quantumlib/Cirq
cirq/devices/noise_model.py
NoiseModel.noisy_moment
def noisy_moment(self, moment: 'cirq.Moment', system_qubits: Sequence['cirq.Qid']) -> 'cirq.OP_TREE': """Adds noise to the operations from a moment. Args: moment: The moment to add noise to. system_qubits: A list of all qubits in the system. Returns...
python
def noisy_moment(self, moment: 'cirq.Moment', system_qubits: Sequence['cirq.Qid']) -> 'cirq.OP_TREE': """Adds noise to the operations from a moment. Args: moment: The moment to add noise to. system_qubits: A list of all qubits in the system. Returns...
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Adds noise to the operations from a moment. Args: moment: The moment to add noise to. system_qubits: A list of all qubits in the system. Returns: An OP_TREE corresponding to the noisy operations for the moment.
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/devices/noise_model.py#L75-L92
train
Adds noise to the operations from a moment.
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quantumlib/Cirq
cirq/devices/noise_model.py
NoiseModel.noisy_operation
def noisy_operation(self, operation: 'cirq.Operation') -> 'cirq.OP_TREE': """Adds noise to an individual operation. Args: operation: The operation to make noisy. Returns: An OP_TREE corresponding to the noisy operations implementing the noisy version of the ...
python
def noisy_operation(self, operation: 'cirq.Operation') -> 'cirq.OP_TREE': """Adds noise to an individual operation. Args: operation: The operation to make noisy. Returns: An OP_TREE corresponding to the noisy operations implementing the noisy version of the ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/devices/noise_model.py#L94-L111
train
Adds noise to an individual operation.
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quantumlib/Cirq
cirq/protocols/measurement_key.py
measurement_key
def measurement_key( val: Any, default: Any = RaiseTypeErrorIfNotProvided): """Get the measurement key for the given value. Args: val: The value which has the measurement key.. default: Determines the fallback behavior when `val` doesn't have a measurement key. If `d...
python
def measurement_key( val: Any, default: Any = RaiseTypeErrorIfNotProvided): """Get the measurement key for the given value. Args: val: The value which has the measurement key.. default: Determines the fallback behavior when `val` doesn't have a measurement key. If `d...
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Get the measurement key for the given value. Args: val: The value which has the measurement key.. default: Determines the fallback behavior when `val` doesn't have a measurement key. If `default` is not set, a TypeError is raised. If default is set to a value, that value is ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/protocols/measurement_key.py#L51-L86
train
Returns the measurement key for the given value.
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quantumlib/Cirq
cirq/experiments/google_v2_supremacy_circuit.py
generate_supremacy_circuit_google_v2
def generate_supremacy_circuit_google_v2(qubits: Iterable[devices.GridQubit], cz_depth: int, seed: int) -> circuits.Circuit: """ Generates Google Random Circuits v2 as in github.com/sboixo/GRCS cz_v2. See also https://arxiv.or...
python
def generate_supremacy_circuit_google_v2(qubits: Iterable[devices.GridQubit], cz_depth: int, seed: int) -> circuits.Circuit: """ Generates Google Random Circuits v2 as in github.com/sboixo/GRCS cz_v2. See also https://arxiv.or...
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Generates Google Random Circuits v2 as in github.com/sboixo/GRCS cz_v2. See also https://arxiv.org/abs/1807.10749 Args: qubits: qubit grid in which to generate the circuit. cz_depth: number of layers with CZ gates. seed: seed for the random instance. Returns: A circuit corr...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/experiments/google_v2_supremacy_circuit.py#L22-L81
train
Generates a Google Random Circuits v2 for the given set of qubits.
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quantumlib/Cirq
cirq/experiments/google_v2_supremacy_circuit.py
generate_supremacy_circuit_google_v2_grid
def generate_supremacy_circuit_google_v2_grid(n_rows: int, n_cols: int, cz_depth: int, seed: int ) -> circuits.Circuit: """ Generates Google Random Circuits v2 as in github.com/sboixo/GRCS cz_v2. See also https://arx...
python
def generate_supremacy_circuit_google_v2_grid(n_rows: int, n_cols: int, cz_depth: int, seed: int ) -> circuits.Circuit: """ Generates Google Random Circuits v2 as in github.com/sboixo/GRCS cz_v2. See also https://arx...
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Generates Google Random Circuits v2 as in github.com/sboixo/GRCS cz_v2. See also https://arxiv.org/abs/1807.10749 Args: n_rows: number of rows of a 2D lattice. n_cols: number of columns. cz_depth: number of layers with CZ gates. seed: seed for the random instance. Returns: ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/experiments/google_v2_supremacy_circuit.py#L84-L106
train
Generates a 2D supremacy circuit for a random instance of the class.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL...
quantumlib/Cirq
cirq/experiments/google_v2_supremacy_circuit.py
generate_supremacy_circuit_google_v2_bristlecone
def generate_supremacy_circuit_google_v2_bristlecone(n_rows: int, cz_depth: int, seed: int ) -> circuits.Circuit: """ Generates Google Random Circuits v2 in Bristlecone. See also https://arxiv.org/abs/1...
python
def generate_supremacy_circuit_google_v2_bristlecone(n_rows: int, cz_depth: int, seed: int ) -> circuits.Circuit: """ Generates Google Random Circuits v2 in Bristlecone. See also https://arxiv.org/abs/1...
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Generates Google Random Circuits v2 in Bristlecone. See also https://arxiv.org/abs/1807.10749 Args: n_rows: number of rows in a Bristlecone lattice. Note that we do not include single qubit corners. cz_depth: number of layers with CZ gates. seed: seed for the random instance. ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/experiments/google_v2_supremacy_circuit.py#L109-L149
train
Generates a supremacy circuit for a given number of rows in a Bristlecone lattice.
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quantumlib/Cirq
cirq/experiments/google_v2_supremacy_circuit.py
_choice
def _choice(rand_gen: Callable[[], float], sequence: Sequence[T]) -> T: """Choose a random element from a non-empty sequence. Use this instead of random.choice, with random.random(), for reproducibility """ return sequence[int(rand_gen() * len(sequence))]
python
def _choice(rand_gen: Callable[[], float], sequence: Sequence[T]) -> T: """Choose a random element from a non-empty sequence. Use this instead of random.choice, with random.random(), for reproducibility """ return sequence[int(rand_gen() * len(sequence))]
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Choose a random element from a non-empty sequence. Use this instead of random.choice, with random.random(), for reproducibility
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/experiments/google_v2_supremacy_circuit.py#L155-L160
train
Choose a random element from a non - empty sequence.
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quantumlib/Cirq
cirq/experiments/google_v2_supremacy_circuit.py
_make_cz_layer
def _make_cz_layer(qubits: Iterable[devices.GridQubit], layer_index: int ) -> Iterable[ops.Operation]: """ Each layer index corresponds to a shift/transpose of this CZ pattern: ●───● ● ● ●───● ● ● . . . ● ● ●───● ● ● ●───● . . . ●───● ● ● ●...
python
def _make_cz_layer(qubits: Iterable[devices.GridQubit], layer_index: int ) -> Iterable[ops.Operation]: """ Each layer index corresponds to a shift/transpose of this CZ pattern: ●───● ● ● ●───● ● ● . . . ● ● ●───● ● ● ●───● . . . ●───● ● ● ●...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/experiments/google_v2_supremacy_circuit.py#L174-L229
train
Creates a CZ layer for the given set of qubits.
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quantumlib/Cirq
cirq/optimizers/merge_interactions.py
MergeInteractions._op_to_matrix
def _op_to_matrix(self, op: Optional[ops.Operation], qubits: Tuple[ops.Qid, ...] ) -> Optional[np.ndarray]: """Determines the effect of an operation on the given qubits. If the operation is a 1-qubit operation on one of the given qubits,...
python
def _op_to_matrix(self, op: Optional[ops.Operation], qubits: Tuple[ops.Qid, ...] ) -> Optional[np.ndarray]: """Determines the effect of an operation on the given qubits. If the operation is a 1-qubit operation on one of the given qubits,...
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Determines the effect of an operation on the given qubits. If the operation is a 1-qubit operation on one of the given qubits, or a 2-qubit operation on both of the given qubits, and also the operation has a known matrix, then a matrix is returned. Otherwise None is returned. A...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/optimizers/merge_interactions.py#L90-L125
train
Determines the effect of an operation on the given qubits and returns a matrix equivalent to the effect of the operation on the given qubits.
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quantumlib/Cirq
cirq/optimizers/merge_interactions.py
MergeInteractions._scan_two_qubit_ops_into_matrix
def _scan_two_qubit_ops_into_matrix( self, circuit: circuits.Circuit, index: Optional[int], qubits: Tuple[ops.Qid, ...] ) -> Tuple[List[ops.Operation], List[int], np.ndarray]: """Accumulates operations affecting the given pair of qubits. The scan term...
python
def _scan_two_qubit_ops_into_matrix( self, circuit: circuits.Circuit, index: Optional[int], qubits: Tuple[ops.Qid, ...] ) -> Tuple[List[ops.Operation], List[int], np.ndarray]: """Accumulates operations affecting the given pair of qubits. The scan term...
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Accumulates operations affecting the given pair of qubits. The scan terminates when it hits the end of the circuit, finds an operation without a known matrix, or finds an operation that interacts the given qubits with other qubits. Args: circuit: The circuit to scan for ope...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/optimizers/merge_interactions.py#L127-L176
train
Scan the two qubit operations into a matrix.
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quantumlib/Cirq
cirq/optimizers/merge_interactions.py
MergeInteractions._flip_kron_order
def _flip_kron_order(mat4x4: np.ndarray) -> np.ndarray: """Given M = sum(kron(a_i, b_i)), returns M' = sum(kron(b_i, a_i)).""" result = np.array([[0] * 4] * 4, dtype=np.complex128) order = [0, 2, 1, 3] for i in range(4): for j in range(4): result[order[i], ord...
python
def _flip_kron_order(mat4x4: np.ndarray) -> np.ndarray: """Given M = sum(kron(a_i, b_i)), returns M' = sum(kron(b_i, a_i)).""" result = np.array([[0] * 4] * 4, dtype=np.complex128) order = [0, 2, 1, 3] for i in range(4): for j in range(4): result[order[i], ord...
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Given M = sum(kron(a_i, b_i)), returns M' = sum(kron(b_i, a_i)).
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/optimizers/merge_interactions.py#L179-L186
train
Given mat4x4 returns M = sum of krons of a_i and b_i.
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quantumlib/Cirq
cirq/protocols/control.py
control
def control(controllee: Union['cirq.Gate', op_tree.OP_TREE], control_qubits: Sequence['cirq.Qid'] = None, default: Any = RaiseTypeErrorIfNotProvided) -> Any: """Returns a Controlled version of the given value, if defined. Controllees define how to be controlled by defining a method ...
python
def control(controllee: Union['cirq.Gate', op_tree.OP_TREE], control_qubits: Sequence['cirq.Qid'] = None, default: Any = RaiseTypeErrorIfNotProvided) -> Any: """Returns a Controlled version of the given value, if defined. Controllees define how to be controlled by defining a method ...
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Returns a Controlled version of the given value, if defined. Controllees define how to be controlled by defining a method controlled_by(self, control_qubits). Note that the method may return NotImplemented to indicate a particular controlling can't be done. Args: controllee: The gate, operatio...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/protocols/control.py#L33-L79
train
Returns a new version of the given value if the given controlling is defined.
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quantumlib/Cirq
cirq/protocols/inverse.py
inverse
def inverse(val: Any, default: Any = RaiseTypeErrorIfNotProvided) -> Any: """Returns the inverse `val**-1` of the given value, if defined. An object can define an inverse by defining a __pow__(self, exponent) method that returns something besides NotImplemented when given the exponent -1. The inverse o...
python
def inverse(val: Any, default: Any = RaiseTypeErrorIfNotProvided) -> Any: """Returns the inverse `val**-1` of the given value, if defined. An object can define an inverse by defining a __pow__(self, exponent) method that returns something besides NotImplemented when given the exponent -1. The inverse o...
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Returns the inverse `val**-1` of the given value, if defined. An object can define an inverse by defining a __pow__(self, exponent) method that returns something besides NotImplemented when given the exponent -1. The inverse of iterables is by default defined to be the iterable's items, each inverted, ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/protocols/inverse.py#L81-L131
train
Returns the inverse of the given value if defined.
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quantumlib/Cirq
cirq/ion/ion_decomposition.py
two_qubit_matrix_to_ion_operations
def two_qubit_matrix_to_ion_operations(q0: ops.Qid, q1: ops.Qid, mat: np.ndarray, atol: float = 1e-8 ) -> List[ops.Operation]: """Decomposes a two-qubit operati...
python
def two_qubit_matrix_to_ion_operations(q0: ops.Qid, q1: ops.Qid, mat: np.ndarray, atol: float = 1e-8 ) -> List[ops.Operation]: """Decomposes a two-qubit operati...
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Decomposes a two-qubit operation into MS/single-qubit rotation gates. Args: q0: The first qubit being operated on. q1: The other qubit being operated on. mat: Defines the operation to apply to the pair of qubits. tolerance: A limit on the amount of error introduced by the ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/ion/ion_decomposition.py#L32-L52
train
Decomposes a two - qubit operation into MS - single - qubit rotation gates.
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quantumlib/Cirq
cirq/ion/ion_decomposition.py
_parity_interaction
def _parity_interaction(q0: ops.Qid, q1: ops.Qid, rads: float, atol: float, gate: Optional[ops.Gate] = None): """Yields an XX interaction framed by the given operation.""" if abs(rads) < atol: return if...
python
def _parity_interaction(q0: ops.Qid, q1: ops.Qid, rads: float, atol: float, gate: Optional[ops.Gate] = None): """Yields an XX interaction framed by the given operation.""" if abs(rads) < atol: return if...
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Yields an XX interaction framed by the given operation.
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/ion/ion_decomposition.py#L93-L111
train
Yields an XX interaction framed by the given operation.
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quantumlib/Cirq
cirq/ion/ion_decomposition.py
_non_local_part
def _non_local_part(q0: ops.Qid, q1: ops.Qid, interaction_coefficients: Tuple[float, float, float], atol: float = 1e-8): """Yields non-local operation of KAK decomposition.""" x, y, z = interaction_coefficients return [ _parity_interactio...
python
def _non_local_part(q0: ops.Qid, q1: ops.Qid, interaction_coefficients: Tuple[float, float, float], atol: float = 1e-8): """Yields non-local operation of KAK decomposition.""" x, y, z = interaction_coefficients return [ _parity_interactio...
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Yields non-local operation of KAK decomposition.
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/ion/ion_decomposition.py#L114-L125
train
Yields non - local part of KAK decomposition.
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quantumlib/Cirq
cirq/study/resolver.py
ParamResolver.value_of
def value_of( self, value: Union[sympy.Basic, float, str] ) -> Union[sympy.Basic, float]: """Attempt to resolve a Symbol or name or float to its assigned value. If unable to resolve a sympy.Symbol, returns it unchanged. If unable to resolve a name, returns a sympy.Sy...
python
def value_of( self, value: Union[sympy.Basic, float, str] ) -> Union[sympy.Basic, float]: """Attempt to resolve a Symbol or name or float to its assigned value. If unable to resolve a sympy.Symbol, returns it unchanged. If unable to resolve a name, returns a sympy.Sy...
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Attempt to resolve a Symbol or name or float to its assigned value. If unable to resolve a sympy.Symbol, returns it unchanged. If unable to resolve a name, returns a sympy.Symbol with that name. Args: value: The sympy.Symbol or name or float to try to resolve into just ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/study/resolver.py#L57-L84
train
Attempt to resolve a Symbol or name or float to its assigned value.
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quantumlib/Cirq
cirq/value/value_equality.py
value_equality
def value_equality(cls: type = None, *, unhashable: bool = False, distinct_child_types: bool = False, manual_cls: bool = False, approximate: bool = False ) -> Union[Callable[[type], type], type]: """Impl...
python
def value_equality(cls: type = None, *, unhashable: bool = False, distinct_child_types: bool = False, manual_cls: bool = False, approximate: bool = False ) -> Union[Callable[[type], type], type]: """Impl...
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Implements __eq__/__ne__/__hash__ via a _value_equality_values_ method. _value_equality_values_ is a method that the decorated class must implement. _value_equality_approximate_values_ is a method that the decorated class might implement if special support for approximate equality is required. This is...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/value/value_equality.py#L135-L223
train
Returns a function that can be used to compare two value types of a given class.
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quantumlib/Cirq
dev_tools/incremental_coverage.py
diff_to_new_interesting_lines
def diff_to_new_interesting_lines(unified_diff_lines: List[str] ) -> Dict[int, str]: """ Extracts a set of 'interesting' lines out of a GNU unified diff format. Format: gnu.org/software/diffutils/manual/html_node/Detailed-Unified.html @@ from-line-numbers to-l...
python
def diff_to_new_interesting_lines(unified_diff_lines: List[str] ) -> Dict[int, str]: """ Extracts a set of 'interesting' lines out of a GNU unified diff format. Format: gnu.org/software/diffutils/manual/html_node/Detailed-Unified.html @@ from-line-numbers to-l...
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Extracts a set of 'interesting' lines out of a GNU unified diff format. Format: gnu.org/software/diffutils/manual/html_node/Detailed-Unified.html @@ from-line-numbers to-line-numbers @@ line-from-either-file ... @@ start,count start,count @@ line-from-either-file ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/dev_tools/incremental_coverage.py#L48-L105
train
Returns a set of interesting lines from a GNU unified diff format.
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quantumlib/Cirq
dev_tools/incremental_coverage.py
get_incremental_uncovered_lines
def get_incremental_uncovered_lines(abs_path: str, base_commit: str, actual_commit: Optional[str] ) -> List[Tuple[int, str, str]]: """ Uses git diff and the annotation files created by `pytest --cov-r...
python
def get_incremental_uncovered_lines(abs_path: str, base_commit: str, actual_commit: Optional[str] ) -> List[Tuple[int, str, str]]: """ Uses git diff and the annotation files created by `pytest --cov-r...
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Uses git diff and the annotation files created by `pytest --cov-report annotate` to find touched but uncovered lines in the given file. Args: abs_path: The path of a file to look for uncovered lines in. base_commit: Old state to diff against. actual_commit: Current state. Use None t...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/dev_tools/incremental_coverage.py#L115-L162
train
Returns a list of tuples of indices content and reason - for - including of those uncovered lines in the given file.
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quantumlib/Cirq
dev_tools/incremental_coverage.py
line_content_counts_as_uncovered_manual
def line_content_counts_as_uncovered_manual(content: str) -> bool: """ Args: content: A line with indentation and tail comments/space removed. Returns: Whether the line could be included in the coverage report. """ # Omit empty lines. if not content: return False # ...
python
def line_content_counts_as_uncovered_manual(content: str) -> bool: """ Args: content: A line with indentation and tail comments/space removed. Returns: Whether the line could be included in the coverage report. """ # Omit empty lines. if not content: return False # ...
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Args: content: A line with indentation and tail comments/space removed. Returns: Whether the line could be included in the coverage report.
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/dev_tools/incremental_coverage.py#L165-L183
train
Returns True if the line content counts as uncovered in the coverage report.
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quantumlib/Cirq
dev_tools/incremental_coverage.py
line_counts_as_uncovered
def line_counts_as_uncovered(line: str, is_from_cover_annotation_file: bool) -> bool: """ Args: line: The line of code (including coverage annotation). is_from_cover_annotation_file: Whether this line has been annotated. Returns: Does the line count as un...
python
def line_counts_as_uncovered(line: str, is_from_cover_annotation_file: bool) -> bool: """ Args: line: The line of code (including coverage annotation). is_from_cover_annotation_file: Whether this line has been annotated. Returns: Does the line count as un...
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Args: line: The line of code (including coverage annotation). is_from_cover_annotation_file: Whether this line has been annotated. Returns: Does the line count as uncovered?
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/dev_tools/incremental_coverage.py#L222-L255
train
Returns True if the line counts as uncovered.
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quantumlib/Cirq
dev_tools/incremental_coverage.py
is_applicable_python_file
def is_applicable_python_file(rel_path: str) -> bool: """ Determines if a file should be included in incremental coverage analysis. Args: rel_path: The repo-relative file path being considered. Returns: Whether to include the file. """ return (rel_path.endswith('.py') and ...
python
def is_applicable_python_file(rel_path: str) -> bool: """ Determines if a file should be included in incremental coverage analysis. Args: rel_path: The repo-relative file path being considered. Returns: Whether to include the file. """ return (rel_path.endswith('.py') and ...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/dev_tools/incremental_coverage.py#L258-L268
train
Determines if a file should be included in incremental coverage analysis.
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quantumlib/Cirq
cirq/ops/eigen_gate.py
_approximate_common_period
def _approximate_common_period(periods: List[float], approx_denom: int = 60, reject_atol: float = 1e-8) -> Optional[float]: """Finds a value that is nearly an integer multiple of multiple periods. The returned value should be the smallest non-negati...
python
def _approximate_common_period(periods: List[float], approx_denom: int = 60, reject_atol: float = 1e-8) -> Optional[float]: """Finds a value that is nearly an integer multiple of multiple periods. The returned value should be the smallest non-negati...
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Finds a value that is nearly an integer multiple of multiple periods. The returned value should be the smallest non-negative number with this property. If `approx_denom` is too small the computation can fail to satisfy the `reject_atol` criteria and return `None`. This is actually desirable behavior, s...
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/ops/eigen_gate.py#L330-L374
train
Calculates the approximate common period of the given list of periods.
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quantumlib/Cirq
cirq/ops/eigen_gate.py
_common_rational_period
def _common_rational_period(rational_periods: List[fractions.Fraction] ) -> fractions.Fraction: """Finds the least common integer multiple of some fractions. The solution is the smallest positive integer c such that there exists integers n_k satisfying p_k * n_k = c for all k. ...
python
def _common_rational_period(rational_periods: List[fractions.Fraction] ) -> fractions.Fraction: """Finds the least common integer multiple of some fractions. The solution is the smallest positive integer c such that there exists integers n_k satisfying p_k * n_k = c for all k. ...
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Finds the least common integer multiple of some fractions. The solution is the smallest positive integer c such that there exists integers n_k satisfying p_k * n_k = c for all k.
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0827da80dd7880e5b923eb69407e980ed9bc0bd2
https://github.com/quantumlib/Cirq/blob/0827da80dd7880e5b923eb69407e980ed9bc0bd2/cirq/ops/eigen_gate.py#L377-L389
train
Finds the least common integer multiple of some fractions. rational_periods
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combust/mleap
python/mleap/sklearn/preprocessing/data.py
LabelEncoder.fit
def fit(self, X): """Fit label encoder Parameters ---------- y : array-like of shape (n_samples,) Target values. Returns ------- self : returns an instance of self. """ X = column_or_1d(X, warn=True) _check_numpy_unicode_bug(X...
python
def fit(self, X): """Fit label encoder Parameters ---------- y : array-like of shape (n_samples,) Target values. Returns ------- self : returns an instance of self. """ X = column_or_1d(X, warn=True) _check_numpy_unicode_bug(X...
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Fit label encoder Parameters ---------- y : array-like of shape (n_samples,) Target values. Returns ------- self : returns an instance of self.
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/preprocessing/data.py#L361-L376
train
Fit label encoder to a set of target values.
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combust/mleap
python/mleap/sklearn/preprocessing/data.py
LabelEncoder.fit_transform
def fit_transform(self, X, y=None, **fit_params): """Fit label encoder and return encoded labels Parameters ---------- y : array-like of shape [n_samples] Target values. Returns ------- y : array-like of shape [n_samples] """ y = colu...
python
def fit_transform(self, X, y=None, **fit_params): """Fit label encoder and return encoded labels Parameters ---------- y : array-like of shape [n_samples] Target values. Returns ------- y : array-like of shape [n_samples] """ y = colu...
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Fit label encoder and return encoded labels Parameters ---------- y : array-like of shape [n_samples] Target values. Returns ------- y : array-like of shape [n_samples]
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/preprocessing/data.py#L378-L393
train
Fit label encoder and return encoded labels.
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combust/mleap
python/mleap/sklearn/preprocessing/data.py
LabelEncoder.transform
def transform(self, y): """Transform labels to normalized encoding. Parameters ---------- y : array-like of shape [n_samples] Target values. Returns ------- y : array-like of shape [n_samples] """ check_is_fitted(self, 'classes_') ...
python
def transform(self, y): """Transform labels to normalized encoding. Parameters ---------- y : array-like of shape [n_samples] Target values. Returns ------- y : array-like of shape [n_samples] """ check_is_fitted(self, 'classes_') ...
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Transform labels to normalized encoding. Parameters ---------- y : array-like of shape [n_samples] Target values. Returns ------- y : array-like of shape [n_samples]
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/preprocessing/data.py#L395-L415
train
Transform labels to normalized encoding.
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combust/mleap
python/mleap/sklearn/preprocessing/data.py
LabelEncoder.inverse_transform
def inverse_transform(self, y): """Transform labels back to original encoding. Parameters ---------- y : numpy array of shape [n_samples] Target values. Returns ------- y : numpy array of shape [n_samples] """ check_is_fitted(self, 'c...
python
def inverse_transform(self, y): """Transform labels back to original encoding. Parameters ---------- y : numpy array of shape [n_samples] Target values. Returns ------- y : numpy array of shape [n_samples] """ check_is_fitted(self, 'c...
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Transform labels back to original encoding. Parameters ---------- y : numpy array of shape [n_samples] Target values. Returns ------- y : numpy array of shape [n_samples]
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/preprocessing/data.py#L417-L435
train
Transform labels back to original encoding.
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combust/mleap
python/mleap/sklearn/preprocessing/data.py
MathUnary.transform
def transform(self, y): """ Transform features per specified math function. :param y: :return: """ if self.transform_type == 'log': return np.log(y) elif self.transform_type == 'exp': return np.exp(y) elif self.transform_type == 'sq...
python
def transform(self, y): """ Transform features per specified math function. :param y: :return: """ if self.transform_type == 'log': return np.log(y) elif self.transform_type == 'exp': return np.exp(y) elif self.transform_type == 'sq...
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Transform features per specified math function. :param y: :return:
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/preprocessing/data.py#L907-L926
train
Transform features per specified math function.
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combust/mleap
python/mleap/sklearn/preprocessing/data.py
MathBinary.fit
def fit(self, X, y=None, **fit_params): """ Fit Unary Math Operator :param y: :return: """ if self.transform_type not in self.valid_transforms: warnings.warn("Invalid transform type.", stacklevel=2) return self
python
def fit(self, X, y=None, **fit_params): """ Fit Unary Math Operator :param y: :return: """ if self.transform_type not in self.valid_transforms: warnings.warn("Invalid transform type.", stacklevel=2) return self
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Fit Unary Math Operator :param y: :return:
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/preprocessing/data.py#L994-L1002
train
Fit a binary math operator on the data.
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combust/mleap
python/mleap/sklearn/preprocessing/data.py
MathBinary.transform
def transform(self, y): """ Transform features per specified math function. :param y: :return: """ if isinstance(y, pd.DataFrame): x = y.ix[:,0] y = y.ix[:,1] else: x = y[:,0] y = y[:,1] if self.transform_typ...
python
def transform(self, y): """ Transform features per specified math function. :param y: :return: """ if isinstance(y, pd.DataFrame): x = y.ix[:,0] y = y.ix[:,1] else: x = y[:,0] y = y[:,1] if self.transform_typ...
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Transform features per specified math function. :param y: :return:
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/preprocessing/data.py#L1004-L1027
train
Transform features per specified math function.
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combust/mleap
python/mleap/sklearn/tree/tree.py
SimpleSerializer.serialize_tree
def serialize_tree(tree, feature_names, outfile): """ :type feature_names: list :type tree: sklearn.tree.tree.BaseDecisionTree :param tree: sklearn.tree.tree :param feature_names: :return: """ tree_ = tree.tree_ feature_name = [feature_names[i] if...
python
def serialize_tree(tree, feature_names, outfile): """ :type feature_names: list :type tree: sklearn.tree.tree.BaseDecisionTree :param tree: sklearn.tree.tree :param feature_names: :return: """ tree_ = tree.tree_ feature_name = [feature_names[i] if...
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:type feature_names: list :type tree: sklearn.tree.tree.BaseDecisionTree :param tree: sklearn.tree.tree :param feature_names: :return:
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/tree/tree.py#L54-L100
train
Serialize the tree to a file.
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combust/mleap
python/mleap/sklearn/tree/tree.py
SimpleSerializer.serialize_to_bundle
def serialize_to_bundle(self, transformer, path, model_name, serialize_node=True): """ :type transformer: sklearn.tree.tree.BaseDecisionTree :type path: str :type model_name: str :type serialize_node: bool :param transformer: :param path: :param model_name...
python
def serialize_to_bundle(self, transformer, path, model_name, serialize_node=True): """ :type transformer: sklearn.tree.tree.BaseDecisionTree :type path: str :type model_name: str :type serialize_node: bool :param transformer: :param path: :param model_name...
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:type transformer: sklearn.tree.tree.BaseDecisionTree :type path: str :type model_name: str :type serialize_node: bool :param transformer: :param path: :param model_name: :return:
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/tree/tree.py#L102-L141
train
Serialize the decision tree to a bundle.
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combust/mleap
python/mleap/gensim/word2vec.py
SimpleSparkSerializer.sent2vec
def sent2vec(self, words, transformer): """ Used with sqrt kernel :param words: :param transformer: :return: """ sent_vec = np.zeros(transformer.vector_size) numw = 0 for w in words: try: sent_vec = np.add(sent_vec, tran...
python
def sent2vec(self, words, transformer): """ Used with sqrt kernel :param words: :param transformer: :return: """ sent_vec = np.zeros(transformer.vector_size) numw = 0 for w in words: try: sent_vec = np.add(sent_vec, tran...
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Used with sqrt kernel :param words: :param transformer: :return:
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/gensim/word2vec.py#L85-L100
train
Used with sqrt kernel Used with sqrt kernel
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combust/mleap
python/mleap/sklearn/ensemble/forest.py
SimpleSerializer.serialize_to_bundle
def serialize_to_bundle(self, transformer, path, model): """ :param transformer: Random Forest Regressor or Classifier :param path: Root path where to serialize the model :param model: Name of the model to be serialized :type transformer: sklearn.ensemble.forest.BaseForest ...
python
def serialize_to_bundle(self, transformer, path, model): """ :param transformer: Random Forest Regressor or Classifier :param path: Root path where to serialize the model :param model: Name of the model to be serialized :type transformer: sklearn.ensemble.forest.BaseForest ...
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:param transformer: Random Forest Regressor or Classifier :param path: Root path where to serialize the model :param model: Name of the model to be serialized :type transformer: sklearn.ensemble.forest.BaseForest :type path: str :type model: str :return: None
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/sklearn/ensemble/forest.py#L53-L107
train
This method serializes the model to a sklearn bundle.
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combust/mleap
python/mleap/bundle/serialize.py
MLeapSerializer.get_mleap_model
def get_mleap_model(self, transformer, attributes_to_serialize=None): """ Generates the model.json given a list of attributes, which are a tuple comprised of: - name - value Type is figured out automatically, but we should consider specifying it explicitly. Note: ...
python
def get_mleap_model(self, transformer, attributes_to_serialize=None): """ Generates the model.json given a list of attributes, which are a tuple comprised of: - name - value Type is figured out automatically, but we should consider specifying it explicitly. Note: ...
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Generates the model.json given a list of attributes, which are a tuple comprised of: - name - value Type is figured out automatically, but we should consider specifying it explicitly. Note: this only supports doubles and tensors that are vectors/lists of doubles. :param t...
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/bundle/serialize.py#L29-L129
train
Generates the model. json given a list of attributes which are a tuple comprised of name value.
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combust/mleap
python/mleap/bundle/serialize.py
MLeapDeserializer.deserialize_single_input_output
def deserialize_single_input_output(self, transformer, node_path, attributes_map=None): """ :attributes_map: Map of attributes names. For example StandardScaler has `mean_` but is serialized as `mean` :param transformer: Scikit or Pandas transformer :param node: bundle.ml node json file ...
python
def deserialize_single_input_output(self, transformer, node_path, attributes_map=None): """ :attributes_map: Map of attributes names. For example StandardScaler has `mean_` but is serialized as `mean` :param transformer: Scikit or Pandas transformer :param node: bundle.ml node json file ...
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:attributes_map: Map of attributes names. For example StandardScaler has `mean_` but is serialized as `mean` :param transformer: Scikit or Pandas transformer :param node: bundle.ml node json file :param model: bundle.ml model json file :return: Transformer
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dc6b79db03ec27a0ba08b289842551e73d517ab3
https://github.com/combust/mleap/blob/dc6b79db03ec27a0ba08b289842551e73d517ab3/python/mleap/bundle/serialize.py#L187-L219
train
Deserializes a single input and output transformer.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
wait_until
def wait_until(what, times=-1): """Wait until `what` return True Args: what (Callable[bool]): Call `wait()` again and again until it returns True times (int): Maximum times of trials before giving up Returns: True if success, False if times threshold reached """ while time...
python
def wait_until(what, times=-1): """Wait until `what` return True Args: what (Callable[bool]): Call `wait()` again and again until it returns True times (int): Maximum times of trials before giving up Returns: True if success, False if times threshold reached """ while time...
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Wait until `what` return True Args: what (Callable[bool]): Call `wait()` again and again until it returns True times (int): Maximum times of trials before giving up Returns: True if success, False if times threshold reached
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L64-L87
train
Wait until what returns True.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase._init_devices
def _init_devices(self): """Reboot all usb devices. Note: If PDU_CONTROLLER_TYPE is not valid, usb devices is not rebooted. """ if not settings.PDU_CONTROLLER_TYPE: if settings.AUTO_DUT: return for device in settings.GOLDEN_DEVICES: ...
python
def _init_devices(self): """Reboot all usb devices. Note: If PDU_CONTROLLER_TYPE is not valid, usb devices is not rebooted. """ if not settings.PDU_CONTROLLER_TYPE: if settings.AUTO_DUT: return for device in settings.GOLDEN_DEVICES: ...
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Reboot all usb devices. Note: If PDU_CONTROLLER_TYPE is not valid, usb devices is not rebooted.
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L170-L213
train
Initialize all usb devices.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase._init_harness
def _init_harness(self): """Restart harness backend service. Please start the harness controller before running the cases, otherwise, nothing happens """ self._hc = HarnessController(self.result_dir) self._hc.stop() time.sleep(1) self._hc.start() time.sle...
python
def _init_harness(self): """Restart harness backend service. Please start the harness controller before running the cases, otherwise, nothing happens """ self._hc = HarnessController(self.result_dir) self._hc.stop() time.sleep(1) self._hc.start() time.sle...
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Restart harness backend service. Please start the harness controller before running the cases, otherwise, nothing happens
[ "Restart", "harness", "backend", "service", "." ]
0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L215-L236
train
Restart the harness backend service.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase._init_dut
def _init_dut(self): """Initialize the DUT. DUT will be restarted. and openthread will started. """ if self.auto_dut: self.dut = None return dut_port = settings.DUT_DEVICE[0] dut = OpenThreadController(dut_port) self.dut = dut
python
def _init_dut(self): """Initialize the DUT. DUT will be restarted. and openthread will started. """ if self.auto_dut: self.dut = None return dut_port = settings.DUT_DEVICE[0] dut = OpenThreadController(dut_port) self.dut = dut
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Initialize the DUT. DUT will be restarted. and openthread will started.
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L246-L257
train
Initialize the DUT.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase.setUp
def setUp(self): """Prepare to run test case. Start harness service, init golden devices, reset DUT and open browser. """ if self.__class__ is HarnessCase: return logger.info('Setting up') # clear files logger.info('Deleting all .pdf') os.sys...
python
def setUp(self): """Prepare to run test case. Start harness service, init golden devices, reset DUT and open browser. """ if self.__class__ is HarnessCase: return logger.info('Setting up') # clear files logger.info('Deleting all .pdf') os.sys...
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Prepare to run test case. Start harness service, init golden devices, reset DUT and open browser.
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L305-L331
train
Set up the Harness instance.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase.tearDown
def tearDown(self): """Clean up after each case. Stop harness service, close browser and close DUT. """ if self.__class__ is HarnessCase: return logger.info('Tearing down') self._destroy_harness() self._destroy_browser() self._destroy_dut() ...
python
def tearDown(self): """Clean up after each case. Stop harness service, close browser and close DUT. """ if self.__class__ is HarnessCase: return logger.info('Tearing down') self._destroy_harness() self._destroy_browser() self._destroy_dut() ...
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Clean up after each case. Stop harness service, close browser and close DUT.
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L333-L345
train
Clean up after each case.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase._setup_page
def _setup_page(self): """Do sniffer settings and general settings """ if not self.started: self.started = time.time() if time.time() - self.started > 5*len(settings.GOLDEN_DEVICES): self._browser.refresh() return # Detect Sniffer try...
python
def _setup_page(self): """Do sniffer settings and general settings """ if not self.started: self.started = time.time() if time.time() - self.started > 5*len(settings.GOLDEN_DEVICES): self._browser.refresh() return # Detect Sniffer try...
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Do sniffer settings and general settings
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L347-L440
train
Do sniffer settings and general setup
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase._select_case
def _select_case(self, role, case): """Select the test case. """ # select the case elem = Select(self._browser.find_element_by_id('select-dut')) elem.select_by_value(str(role)) time.sleep(1) checkbox = None wait_until(lambda: self._browser.find_elements_b...
python
def _select_case(self, role, case): """Select the test case. """ # select the case elem = Select(self._browser.find_element_by_id('select-dut')) elem.select_by_value(str(role)) time.sleep(1) checkbox = None wait_until(lambda: self._browser.find_elements_b...
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Select the test case.
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L642-L676
train
Select the test case.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase._collect_result
def _collect_result(self): """Collect test result. Generate PDF, excel and pcap file """ # generate pdf self._browser.find_element_by_class_name('save-pdf').click() time.sleep(1) try: dialog = self._browser.find_element_by_id('Testinfo') excep...
python
def _collect_result(self): """Collect test result. Generate PDF, excel and pcap file """ # generate pdf self._browser.find_element_by_class_name('save-pdf').click() time.sleep(1) try: dialog = self._browser.find_element_by_id('Testinfo') excep...
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Collect test result. Generate PDF, excel and pcap file
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L678-L729
train
Collect test result.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase._wait_dialog
def _wait_dialog(self): """Wait for dialogs and handle them until done. """ logger.debug('waiting for dialog') done = False error = False logger.info("self timeout %d",self.timeout) while not done and self.timeout: try: dialog = self._...
python
def _wait_dialog(self): """Wait for dialogs and handle them until done. """ logger.debug('waiting for dialog') done = False error = False logger.info("self timeout %d",self.timeout) while not done and self.timeout: try: dialog = self._...
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Wait for dialogs and handle them until done.
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L731-L790
train
Wait for dialogs and handle them until done.
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openthread/openthread
tools/harness-automation/autothreadharness/harness_case.py
HarnessCase._handle_dialog
def _handle_dialog(self, dialog, title): """Handle a dialog. Returns: bool True if no more dialogs expected, False if more dialogs needed, and None if not handled """ done = self.on_dialog(dialog, title) if isinstance(done, bool): ...
python
def _handle_dialog(self, dialog, title): """Handle a dialog. Returns: bool True if no more dialogs expected, False if more dialogs needed, and None if not handled """ done = self.on_dialog(dialog, title) if isinstance(done, bool): ...
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Handle a dialog. Returns: bool True if no more dialogs expected, False if more dialogs needed, and None if not handled
[ "Handle", "a", "dialog", "." ]
0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/harness_case.py#L792-L918
train
Handles a dialog.
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openthread/openthread
tools/harness-automation/autothreadharness/runner.py
list_devices
def list_devices(names=None, continue_from=None, **kwargs): """List devices in settings file and print versions""" if not names: names = [device for device, _type in settings.GOLDEN_DEVICES if _type == 'OpenThread'] if continue_from: continue_from = names.index(continue_from) else: ...
python
def list_devices(names=None, continue_from=None, **kwargs): """List devices in settings file and print versions""" if not names: names = [device for device, _type in settings.GOLDEN_DEVICES if _type == 'OpenThread'] if continue_from: continue_from = names.index(continue_from) else: ...
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List devices in settings file and print versions
[ "List", "devices", "in", "settings", "file", "and", "print", "versions" ]
0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/runner.py#L151-L167
train
List devices in settings file and print versions
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openthread/openthread
tools/harness-automation/autothreadharness/runner.py
discover
def discover(names=None, pattern=['*.py'], skip='efp', dry_run=False, blacklist=None, name_greps=None, manual_reset=False, delete_history=False, max_devices=0, continue_from=None, result_file='./result.json', auto_reboot=False, keep_explorer=False, add_all_devices=False): """D...
python
def discover(names=None, pattern=['*.py'], skip='efp', dry_run=False, blacklist=None, name_greps=None, manual_reset=False, delete_history=False, max_devices=0, continue_from=None, result_file='./result.json', auto_reboot=False, keep_explorer=False, add_all_devices=False): """D...
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Discover all test cases and skip those passed Args: pattern (str): Pattern to match case modules, refer python's unittest documentation for more details skip (str): types cases to skip
[ "Discover", "all", "test", "cases", "and", "skip", "those", "passed" ]
0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/runner.py#L169-L292
train
Discover all test cases and skip them
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openthread/openthread
tools/harness-thci/OpenThread.py
OpenThread._readline
def _readline(self): """Read exactly one line from the device Returns: None on no data """ logging.info('%s: reading line', self.port) if len(self._lines) > 1: return self._lines.pop(0) tail = '' if len(self._lines): tail = se...
python
def _readline(self): """Read exactly one line from the device Returns: None on no data """ logging.info('%s: reading line', self.port) if len(self._lines) > 1: return self._lines.pop(0) tail = '' if len(self._lines): tail = se...
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Read exactly one line from the device Returns: None on no data
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-thci/OpenThread.py#L129-L151
train
Read exactly one line from the device returning the first line on success Returns None on no data
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openthread/openthread
tools/harness-thci/OpenThread.py
OpenThread.__sendCommand
def __sendCommand(self, cmd): """send specific command to reference unit over serial port Args: cmd: OpenThread CLI string Returns: Done: successfully send the command to reference unit and parse it Value: successfully retrieve the desired value from referen...
python
def __sendCommand(self, cmd): """send specific command to reference unit over serial port Args: cmd: OpenThread CLI string Returns: Done: successfully send the command to reference unit and parse it Value: successfully retrieve the desired value from referen...
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send specific command to reference unit over serial port Args: cmd: OpenThread CLI string Returns: Done: successfully send the command to reference unit and parse it Value: successfully retrieve the desired value from reference unit Error: some errors oc...
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-thci/OpenThread.py#L173-L224
train
send specific command to the OpenThread CLI string and parse the response
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openthread/openthread
tools/harness-thci/OpenThread.py
OpenThread.__getIp6Address
def __getIp6Address(self, addressType): """get specific type of IPv6 address configured on thread device Args: addressType: the specific type of IPv6 address link local: link local unicast IPv6 address that's within one-hop scope global: global unicast IPv6 address ...
python
def __getIp6Address(self, addressType): """get specific type of IPv6 address configured on thread device Args: addressType: the specific type of IPv6 address link local: link local unicast IPv6 address that's within one-hop scope global: global unicast IPv6 address ...
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get specific type of IPv6 address configured on thread device Args: addressType: the specific type of IPv6 address link local: link local unicast IPv6 address that's within one-hop scope global: global unicast IPv6 address rloc: mesh local unicast IPv6 address f...
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-thci/OpenThread.py#L226-L281
train
get specific type of IPv6 address configured on thread device
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL...
openthread/openthread
tools/harness-thci/OpenThread.py
OpenThread.__convertIp6PrefixStringToIp6Address
def __convertIp6PrefixStringToIp6Address(self, strIp6Prefix): """convert IPv6 prefix string to IPv6 dotted-quad format for example: 2001000000000000 -> 2001:: Args: strIp6Prefix: IPv6 address string Returns: IPv6 address dotted-quad format ...
python
def __convertIp6PrefixStringToIp6Address(self, strIp6Prefix): """convert IPv6 prefix string to IPv6 dotted-quad format for example: 2001000000000000 -> 2001:: Args: strIp6Prefix: IPv6 address string Returns: IPv6 address dotted-quad format ...
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convert IPv6 prefix string to IPv6 dotted-quad format for example: 2001000000000000 -> 2001:: Args: strIp6Prefix: IPv6 address string Returns: IPv6 address dotted-quad format
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-thci/OpenThread.py#L485-L503
train
convert IPv6 prefix string to IPv6 dotted - quad format
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL...
openthread/openthread
tools/harness-thci/OpenThread.py
OpenThread.__convertLongToString
def __convertLongToString(self, iValue): """convert a long hex integer to string remove '0x' and 'L' return string Args: iValue: long integer in hex format Returns: string of this long integer without "0x" and "L" """ string = '' strVa...
python
def __convertLongToString(self, iValue): """convert a long hex integer to string remove '0x' and 'L' return string Args: iValue: long integer in hex format Returns: string of this long integer without "0x" and "L" """ string = '' strVa...
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convert a long hex integer to string remove '0x' and 'L' return string Args: iValue: long integer in hex format Returns: string of this long integer without "0x" and "L"
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-thci/OpenThread.py#L505-L521
train
convert a long hex integer to string
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL...
openthread/openthread
tools/harness-thci/OpenThread.py
OpenThread.__convertChannelMask
def __convertChannelMask(self, channelsArray): """convert channelsArray to bitmask format Args: channelsArray: channel array (i.e. [21, 22]) Returns: bitmask format corresponding to a given channel array """ maskSet = 0 for eachChannel in channe...
python
def __convertChannelMask(self, channelsArray): """convert channelsArray to bitmask format Args: channelsArray: channel array (i.e. [21, 22]) Returns: bitmask format corresponding to a given channel array """ maskSet = 0 for eachChannel in channe...
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convert channelsArray to bitmask format Args: channelsArray: channel array (i.e. [21, 22]) Returns: bitmask format corresponding to a given channel array
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-thci/OpenThread.py#L563-L578
train
convert channelsArray to bitmask format corresponding to a given channel array
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL...
openthread/openthread
tools/harness-automation/autothreadharness/open_thread_controller.py
OpenThreadController._expect
def _expect(self, expected, times=50): """Find the `expected` line within `times` trials. Args: expected str: the expected string times int: number of trials """ logger.debug('[%s] Expecting [%s]', self.port, expected) retry_times = 10 wh...
python
def _expect(self, expected, times=50): """Find the `expected` line within `times` trials. Args: expected str: the expected string times int: number of trials """ logger.debug('[%s] Expecting [%s]', self.port, expected) retry_times = 10 wh...
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Find the `expected` line within `times` trials. Args: expected str: the expected string times int: number of trials
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/open_thread_controller.py#L123-L147
train
Find the expected string within times.
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL...
openthread/openthread
tools/harness-automation/autothreadharness/open_thread_controller.py
OpenThreadController._readline
def _readline(self): """Read exactly one line from the device, nonblocking. Returns: None on no data """ if len(self.lines) > 1: return self.lines.pop(0) tail = '' if len(self.lines): tail = self.lines.pop() try: ...
python
def _readline(self): """Read exactly one line from the device, nonblocking. Returns: None on no data """ if len(self.lines) > 1: return self.lines.pop(0) tail = '' if len(self.lines): tail = self.lines.pop() try: ...
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Read exactly one line from the device, nonblocking. Returns: None on no data
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/open_thread_controller.py#L149-L170
train
Read exactly one line from the device nonblocking.
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openthread/openthread
tools/harness-automation/autothreadharness/open_thread_controller.py
OpenThreadController._sendline
def _sendline(self, line): """Send exactly one line to the device Args: line str: data send to device """ self.lines = [] try: self._read() except socket.error: logging.debug('Nothing cleared') logger.debug('sending [%s]', lin...
python
def _sendline(self, line): """Send exactly one line to the device Args: line str: data send to device """ self.lines = [] try: self._read() except socket.error: logging.debug('Nothing cleared') logger.debug('sending [%s]', lin...
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Send exactly one line to the device Args: line str: data send to device
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/open_thread_controller.py#L172-L188
train
Send exactly one line to the device
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL...
openthread/openthread
tools/harness-automation/autothreadharness/open_thread_controller.py
OpenThreadController._req
def _req(self, req): """Send command and wait for response. The command will be repeated 3 times at most in case data loss of serial port. Args: req (str): Command to send, please do not include new line in the end. Returns: [str]: The output lines """ ...
python
def _req(self, req): """Send command and wait for response. The command will be repeated 3 times at most in case data loss of serial port. Args: req (str): Command to send, please do not include new line in the end. Returns: [str]: The output lines """ ...
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Send command and wait for response. The command will be repeated 3 times at most in case data loss of serial port. Args: req (str): Command to send, please do not include new line in the end. Returns: [str]: The output lines
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/open_thread_controller.py#L190-L232
train
Send command and wait for response.
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openthread/openthread
tools/harness-automation/autothreadharness/open_thread_controller.py
OpenThreadController.run
def run(self): """Threading callback""" self.viewing = True while self.viewing and self._lock.acquire(): try: line = self._readline() except: pass else: logger.info(line) self._lock.release() ...
python
def run(self): """Threading callback""" self.viewing = True while self.viewing and self._lock.acquire(): try: line = self._readline() except: pass else: logger.info(line) self._lock.release() ...
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Threading callback
[ "Threading", "callback" ]
0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/open_thread_controller.py#L234-L246
train
Threading callback
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openthread/openthread
tools/harness-automation/autothreadharness/open_thread_controller.py
OpenThreadController.reset
def reset(self): """Reset openthread device, not equivalent to stop and start """ logger.debug('DUT> reset') self._log and self.pause() self._sendline('reset') self._read() self._log and self.resume()
python
def reset(self): """Reset openthread device, not equivalent to stop and start """ logger.debug('DUT> reset') self._log and self.pause() self._sendline('reset') self._read() self._log and self.resume()
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Reset openthread device, not equivalent to stop and start
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/open_thread_controller.py#L269-L276
train
Reset the openthread device not equivalent to stop and start
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openthread/openthread
tools/harness-automation/autothreadharness/open_thread_controller.py
OpenThreadController.add_prefix
def add_prefix(self, prefix, flags, prf): """Add network prefix. Args: prefix (str): network prefix. flags (str): network prefix flags, please refer thread documentation for details prf (str): network prf, please refer thread documentation for details """ ...
python
def add_prefix(self, prefix, flags, prf): """Add network prefix. Args: prefix (str): network prefix. flags (str): network prefix flags, please refer thread documentation for details prf (str): network prf, please refer thread documentation for details """ ...
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Add network prefix. Args: prefix (str): network prefix. flags (str): network prefix flags, please refer thread documentation for details prf (str): network prf, please refer thread documentation for details
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/open_thread_controller.py#L360-L370
train
Add a network prefix.
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openthread/openthread
tools/harness-automation/autothreadharness/open_thread_controller.py
OpenThreadController.remove_prefix
def remove_prefix(self, prefix): """Remove network prefix. """ self._req('prefix remove %s' % prefix) time.sleep(1) self._req('netdataregister')
python
def remove_prefix(self, prefix): """Remove network prefix. """ self._req('prefix remove %s' % prefix) time.sleep(1) self._req('netdataregister')
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Remove network prefix.
[ "Remove", "network", "prefix", "." ]
0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/open_thread_controller.py#L372-L377
train
Remove network prefix.
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openthread/openthread
tools/harness-automation/autothreadharness/pdu_controller.py
ApcPduController._init
def _init(self): """Initialize the telnet connection """ self.tn = telnetlib.Telnet(self.ip, self.port) self.tn.read_until('User Name') self.tn.write('apc\r\n') self.tn.read_until('Password') self.tn.write('apc\r\n') self.until_done()
python
def _init(self): """Initialize the telnet connection """ self.tn = telnetlib.Telnet(self.ip, self.port) self.tn.read_until('User Name') self.tn.write('apc\r\n') self.tn.read_until('Password') self.tn.write('apc\r\n') self.until_done()
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Initialize the telnet connection
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/pdu_controller.py#L82-L90
train
Initialize the telnet connection
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openthread/openthread
tools/harness-automation/autothreadharness/pdu_controller.py
ApcPduController.open
def open(self, **params): """Open telnet connection Args: params (dict), must contain two parameters "ip" - ip address or hostname and "port" - port number Example: params = {'port': 23, 'ip': 'localhost'} """ logger.info('opening telnet') self.p...
python
def open(self, **params): """Open telnet connection Args: params (dict), must contain two parameters "ip" - ip address or hostname and "port" - port number Example: params = {'port': 23, 'ip': 'localhost'} """ logger.info('opening telnet') self.p...
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Open telnet connection Args: params (dict), must contain two parameters "ip" - ip address or hostname and "port" - port number Example: params = {'port': 23, 'ip': 'localhost'}
[ "Open", "telnet", "connection" ]
0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/pdu_controller.py#L92-L105
train
Open a new telnet connection
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openthread/openthread
tools/harness-automation/autothreadharness/pdu_controller.py
ApcPduController.until
def until(self, regex): """Wait until the regex encountered """ logger.debug('waiting for %s', regex) r = re.compile(regex, re.M) self.tn.expect([r])
python
def until(self, regex): """Wait until the regex encountered """ logger.debug('waiting for %s', regex) r = re.compile(regex, re.M) self.tn.expect([r])
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Wait until the regex encountered
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/pdu_controller.py#L118-L123
train
Wait until the regex encountered
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openthread/openthread
tools/harness-automation/autothreadharness/pdu_controller.py
ApcPduController.reboot
def reboot(self, **params): """Reboot outlet Args: params (dict), must contain parameter "outlet" - outlet number Example: params = {'outlet': 1} """ outlet = params['outlet'] # main menu self.tn.write('\x1b\r\n') self.until_done...
python
def reboot(self, **params): """Reboot outlet Args: params (dict), must contain parameter "outlet" - outlet number Example: params = {'outlet': 1} """ outlet = params['outlet'] # main menu self.tn.write('\x1b\r\n') self.until_done...
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Reboot outlet Args: params (dict), must contain parameter "outlet" - outlet number Example: params = {'outlet': 1}
[ "Reboot", "outlet" ]
0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-automation/autothreadharness/pdu_controller.py#L125-L169
train
Reboot the outlet of the current instance.
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openthread/openthread
tools/harness-thci/OpenThread_WpanCtl.py
OpenThread_WpanCtl.__stripValue
def __stripValue(self, value): """strip the special characters in the value Args: value: value string Returns: value string without special characters """ if isinstance(value, str): if ( value[0] == '"' and val...
python
def __stripValue(self, value): """strip the special characters in the value Args: value: value string Returns: value string without special characters """ if isinstance(value, str): if ( value[0] == '"' and val...
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strip the special characters in the value Args: value: value string Returns: value string without special characters
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-thci/OpenThread_WpanCtl.py#L273-L285
train
strip the special characters in the value COOKIENAME
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openthread/openthread
tools/harness-thci/OpenThread_WpanCtl.py
OpenThread_WpanCtl.__getJoinerState
def __getJoinerState(self): """ get joiner state """ maxDuration = 150 # seconds t_end = time.time() + maxDuration while time.time() < t_end: joinerState = self.__stripValue(self.__sendCommand('sudo wpanctl getprop -v NCP:State')[0]) if joinerState == 'offline:co...
python
def __getJoinerState(self): """ get joiner state """ maxDuration = 150 # seconds t_end = time.time() + maxDuration while time.time() < t_end: joinerState = self.__stripValue(self.__sendCommand('sudo wpanctl getprop -v NCP:State')[0]) if joinerState == 'offline:co...
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get joiner state
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0208d10563aa21c518092985c78ecf9cd223ab74
https://github.com/openthread/openthread/blob/0208d10563aa21c518092985c78ecf9cd223ab74/tools/harness-thci/OpenThread_WpanCtl.py#L727-L740
train
get joiner state
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nornir-automation/nornir
nornir/core/task.py
Task.start
def start(self, host, nornir): """ Run the task for the given host. Arguments: host (:obj:`nornir.core.inventory.Host`): Host we are operating with. Populated right before calling the ``task`` nornir(:obj:`nornir.core.Nornir`): Populated right before callin...
python
def start(self, host, nornir): """ Run the task for the given host. Arguments: host (:obj:`nornir.core.inventory.Host`): Host we are operating with. Populated right before calling the ``task`` nornir(:obj:`nornir.core.Nornir`): Populated right before callin...
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Run the task for the given host. Arguments: host (:obj:`nornir.core.inventory.Host`): Host we are operating with. Populated right before calling the ``task`` nornir(:obj:`nornir.core.Nornir`): Populated right before calling the ``task`` Returns: ...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/task.py#L49-L95
train
Starts the task for the given host and returns a list of the results and the subtasks that were executed.
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nornir-automation/nornir
nornir/core/task.py
Task.run
def run(self, task, **kwargs): """ This is a utility method to call a task from within a task. For instance: def grouped_tasks(task): task.run(my_first_task) task.run(my_second_task) nornir.run(grouped_tasks) This method will ensure the ...
python
def run(self, task, **kwargs): """ This is a utility method to call a task from within a task. For instance: def grouped_tasks(task): task.run(my_first_task) task.run(my_second_task) nornir.run(grouped_tasks) This method will ensure the ...
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This is a utility method to call a task from within a task. For instance: def grouped_tasks(task): task.run(my_first_task) task.run(my_second_task) nornir.run(grouped_tasks) This method will ensure the subtask is run only for the host in the current thr...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/task.py#L97-L126
train
This method runs a task from within a task.
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nornir-automation/nornir
nornir/core/task.py
Task.is_dry_run
def is_dry_run(self, override: bool = None) -> bool: """ Returns whether current task is a dry_run or not. """ return override if override is not None else self.nornir.data.dry_run
python
def is_dry_run(self, override: bool = None) -> bool: """ Returns whether current task is a dry_run or not. """ return override if override is not None else self.nornir.data.dry_run
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Returns whether current task is a dry_run or not.
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/task.py#L128-L132
train
Returns whether the current task is a dry_run or not.
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nornir-automation/nornir
nornir/core/task.py
AggregatedResult.failed_hosts
def failed_hosts(self): """Hosts that failed during the execution of the task.""" return {h: r for h, r in self.items() if r.failed}
python
def failed_hosts(self): """Hosts that failed during the execution of the task.""" return {h: r for h, r in self.items() if r.failed}
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Hosts that failed during the execution of the task.
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/task.py#L216-L218
train
Returns a dict of hosts that failed during the execution of the task.
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nornir-automation/nornir
nornir/plugins/tasks/networking/napalm_validate.py
napalm_validate
def napalm_validate( task: Task, src: Optional[str] = None, validation_source: ValidationSourceData = None, ) -> Result: """ Gather information with napalm and validate it: http://napalm.readthedocs.io/en/develop/validate/index.html Arguments: src: file to use as validation sou...
python
def napalm_validate( task: Task, src: Optional[str] = None, validation_source: ValidationSourceData = None, ) -> Result: """ Gather information with napalm and validate it: http://napalm.readthedocs.io/en/develop/validate/index.html Arguments: src: file to use as validation sou...
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Gather information with napalm and validate it: http://napalm.readthedocs.io/en/develop/validate/index.html Arguments: src: file to use as validation source validation_source (list): data to validate device's state Returns: Result object with the following attributes set: ...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/plugins/tasks/networking/napalm_validate.py#L8-L31
train
Gather information with napalm and validate it
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nornir-automation/nornir
nornir/plugins/tasks/networking/netmiko_save_config.py
netmiko_save_config
def netmiko_save_config( task: Task, cmd: str = "", confirm: bool = False, confirm_response: str = "" ) -> Result: """ Execute Netmiko save_config method Arguments: cmd(str, optional): Command used to save the configuration. confirm(bool, optional): Does device prompt for confirmation be...
python
def netmiko_save_config( task: Task, cmd: str = "", confirm: bool = False, confirm_response: str = "" ) -> Result: """ Execute Netmiko save_config method Arguments: cmd(str, optional): Command used to save the configuration. confirm(bool, optional): Does device prompt for confirmation be...
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Execute Netmiko save_config method Arguments: cmd(str, optional): Command used to save the configuration. confirm(bool, optional): Does device prompt for confirmation before executing save operation confirm_response(str, optional): Response send to device when it prompts for confirmation ...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/plugins/tasks/networking/netmiko_save_config.py#L6-L27
train
Execute Netmiko save_config method on the node with optional command
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nornir-automation/nornir
nornir/plugins/tasks/networking/netmiko_send_command.py
netmiko_send_command
def netmiko_send_command( task: Task, command_string: str, use_timing: bool = False, enable: bool = False, **kwargs: Any ) -> Result: """ Execute Netmiko send_command method (or send_command_timing) Arguments: command_string: Command to execute on the remote network device. ...
python
def netmiko_send_command( task: Task, command_string: str, use_timing: bool = False, enable: bool = False, **kwargs: Any ) -> Result: """ Execute Netmiko send_command method (or send_command_timing) Arguments: command_string: Command to execute on the remote network device. ...
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Execute Netmiko send_command method (or send_command_timing) Arguments: command_string: Command to execute on the remote network device. use_timing: Set to True to switch to send_command_timing method. enable: Set to True to force Netmiko .enable() call. kwargs: Additional arguments...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/plugins/tasks/networking/netmiko_send_command.py#L6-L33
train
Execute a Netmiko command on the remote network device.
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nornir-automation/nornir
nornir/core/inventory.py
Host.has_parent_group
def has_parent_group(self, group): """Retuns whether the object is a child of the :obj:`Group` ``group``""" if isinstance(group, str): return self._has_parent_group_by_name(group) else: return self._has_parent_group_by_object(group)
python
def has_parent_group(self, group): """Retuns whether the object is a child of the :obj:`Group` ``group``""" if isinstance(group, str): return self._has_parent_group_by_name(group) else: return self._has_parent_group_by_object(group)
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Retuns whether the object is a child of the :obj:`Group` ``group``
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L130-L136
train
Retuns whether the object is a child of the group.
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nornir-automation/nornir
nornir/core/inventory.py
Host.get
def get(self, item, default=None): """ Returns the value ``item`` from the host or hosts group variables. Arguments: item(``str``): The variable to get default(``any``): Return value if item not found """ if hasattr(self, item): return getattr...
python
def get(self, item, default=None): """ Returns the value ``item`` from the host or hosts group variables. Arguments: item(``str``): The variable to get default(``any``): Return value if item not found """ if hasattr(self, item): return getattr...
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Returns the value ``item`` from the host or hosts group variables. Arguments: item(``str``): The variable to get default(``any``): Return value if item not found
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L198-L212
train
Returns the value of the given item from the host or hosts group variables.
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nornir-automation/nornir
nornir/core/inventory.py
Host.get_connection
def get_connection(self, connection: str, configuration: Config) -> Any: """ The function of this method is twofold: 1. If an existing connection is already established for the given type return it 2. If none exists, establish a new connection of that type with default parameter...
python
def get_connection(self, connection: str, configuration: Config) -> Any: """ The function of this method is twofold: 1. If an existing connection is already established for the given type return it 2. If none exists, establish a new connection of that type with default parameter...
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The function of this method is twofold: 1. If an existing connection is already established for the given type return it 2. If none exists, establish a new connection of that type with default parameters and return it Raises: AttributeError: if it's unknown h...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L275-L304
train
Returns an existing connection for the given connection type.
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nornir-automation/nornir
nornir/core/inventory.py
Host.get_connection_state
def get_connection_state(self, connection: str) -> Dict[str, Any]: """ For an already established connection return its state. """ if connection not in self.connections: raise ConnectionNotOpen(connection) return self.connections[connection].state
python
def get_connection_state(self, connection: str) -> Dict[str, Any]: """ For an already established connection return its state. """ if connection not in self.connections: raise ConnectionNotOpen(connection) return self.connections[connection].state
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For an already established connection return its state.
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L306-L313
train
Get the state of a connection.
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nornir-automation/nornir
nornir/core/inventory.py
Host.open_connection
def open_connection( self, connection: str, configuration: Config, hostname: Optional[str] = None, username: Optional[str] = None, password: Optional[str] = None, port: Optional[int] = None, platform: Optional[str] = None, extras: Optional[Dict[str...
python
def open_connection( self, connection: str, configuration: Config, hostname: Optional[str] = None, username: Optional[str] = None, password: Optional[str] = None, port: Optional[int] = None, platform: Optional[str] = None, extras: Optional[Dict[str...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L315-L364
train
Open a new connection.
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nornir-automation/nornir
nornir/core/inventory.py
Host.close_connection
def close_connection(self, connection: str) -> None: """ Close the connection""" if connection not in self.connections: raise ConnectionNotOpen(connection) self.connections.pop(connection).close()
python
def close_connection(self, connection: str) -> None: """ Close the connection""" if connection not in self.connections: raise ConnectionNotOpen(connection) self.connections.pop(connection).close()
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Close the connection
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L366-L371
train
Close the connection.
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nornir-automation/nornir
nornir/core/inventory.py
Inventory.children_of_group
def children_of_group(self, group: Union[str, Group]) -> Set[Host]: """ Returns set of hosts that belongs to a group including those that belong indirectly via inheritance """ hosts: List[Host] = set() for host in self.hosts.values(): if host.has_parent_group(...
python
def children_of_group(self, group: Union[str, Group]) -> Set[Host]: """ Returns set of hosts that belongs to a group including those that belong indirectly via inheritance """ hosts: List[Host] = set() for host in self.hosts.values(): if host.has_parent_group(...
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Returns set of hosts that belongs to a group including those that belong indirectly via inheritance
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L431-L440
train
Returns the set of hosts that belong to a group including those that belong to those that belong to a group including those that belong to a group including those that belong to the group indirectly via inheritance .
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL...
nornir-automation/nornir
nornir/core/inventory.py
Inventory.add_host
def add_host(self, name: str, **kwargs) -> None: """ Add a host to the inventory after initialization """ host = { name: deserializer.inventory.InventoryElement.deserialize_host( name=name, defaults=self.defaults, **kwargs ) } self....
python
def add_host(self, name: str, **kwargs) -> None: """ Add a host to the inventory after initialization """ host = { name: deserializer.inventory.InventoryElement.deserialize_host( name=name, defaults=self.defaults, **kwargs ) } self....
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Add a host to the inventory after initialization
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L442-L451
train
Add a host to the inventory after initialization
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL...
nornir-automation/nornir
nornir/core/inventory.py
Inventory.add_group
def add_group(self, name: str, **kwargs) -> None: """ Add a group to the inventory after initialization """ group = { name: deserializer.inventory.InventoryElement.deserialize_group( name=name, defaults=self.defaults, **kwargs ) } s...
python
def add_group(self, name: str, **kwargs) -> None: """ Add a group to the inventory after initialization """ group = { name: deserializer.inventory.InventoryElement.deserialize_group( name=name, defaults=self.defaults, **kwargs ) } s...
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Add a group to the inventory after initialization
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L453-L462
train
Add a group to the inventory after initialization
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nornir-automation/nornir
nornir/core/inventory.py
Inventory.get_defaults_dict
def get_defaults_dict(self) -> Dict: """ Returns serialized dictionary of defaults from inventory """ return deserializer.inventory.Defaults.serialize(self.defaults).dict()
python
def get_defaults_dict(self) -> Dict: """ Returns serialized dictionary of defaults from inventory """ return deserializer.inventory.Defaults.serialize(self.defaults).dict()
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Returns serialized dictionary of defaults from inventory
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L470-L474
train
Returns serialized dictionary of defaults from inventory
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nornir-automation/nornir
nornir/core/inventory.py
Inventory.get_groups_dict
def get_groups_dict(self) -> Dict: """ Returns serialized dictionary of groups from inventory """ return { k: deserializer.inventory.InventoryElement.serialize(v).dict() for k, v in self.groups.items() }
python
def get_groups_dict(self) -> Dict: """ Returns serialized dictionary of groups from inventory """ return { k: deserializer.inventory.InventoryElement.serialize(v).dict() for k, v in self.groups.items() }
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Returns serialized dictionary of groups from inventory
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L476-L483
train
Returns serialized dictionary of groups from inventory
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nornir-automation/nornir
nornir/core/inventory.py
Inventory.get_hosts_dict
def get_hosts_dict(self) -> Dict: """ Returns serialized dictionary of hosts from inventory """ return { k: deserializer.inventory.InventoryElement.serialize(v).dict() for k, v in self.hosts.items() }
python
def get_hosts_dict(self) -> Dict: """ Returns serialized dictionary of hosts from inventory """ return { k: deserializer.inventory.InventoryElement.serialize(v).dict() for k, v in self.hosts.items() }
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Returns serialized dictionary of hosts from inventory
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/core/inventory.py#L485-L492
train
Returns serialized dictionary of hosts from inventory
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nornir-automation/nornir
nornir/plugins/tasks/files/sftp.py
sftp
def sftp( task: Task, src: str, dst: str, action: str, dry_run: Optional[bool] = None ) -> Result: """ Transfer files from/to the device using sftp protocol Example:: nornir.run(files.sftp, action="put", src="README.md", dst="/tmp/REA...
python
def sftp( task: Task, src: str, dst: str, action: str, dry_run: Optional[bool] = None ) -> Result: """ Transfer files from/to the device using sftp protocol Example:: nornir.run(files.sftp, action="put", src="README.md", dst="/tmp/REA...
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Transfer files from/to the device using sftp protocol Example:: nornir.run(files.sftp, action="put", src="README.md", dst="/tmp/README.md") Arguments: dry_run: Whether to apply changes or not src: source file dst: des...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/plugins/tasks/files/sftp.py#L126-L158
train
Transfer files from src to dst using sftp protocol.
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nornir-automation/nornir
nornir/plugins/tasks/text/template_file.py
template_file
def template_file( task: Task, template: str, path: str, jinja_filters: FiltersDict = None, **kwargs: Any ) -> Result: """ Renders contants of a file with jinja2. All the host data is available in the template Arguments: template: filename path: path to dir with template...
python
def template_file( task: Task, template: str, path: str, jinja_filters: FiltersDict = None, **kwargs: Any ) -> Result: """ Renders contants of a file with jinja2. All the host data is available in the template Arguments: template: filename path: path to dir with template...
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Renders contants of a file with jinja2. All the host data is available in the template Arguments: template: filename path: path to dir with templates jinja_filters: jinja filters to enable. Defaults to nornir.config.jinja2.filters **kwargs: additional data to pass to the template ...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/plugins/tasks/text/template_file.py#L9-L37
train
Renders a file with jinja2 and returns the rendered text
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nornir-automation/nornir
nornir/plugins/tasks/apis/http_method.py
http_method
def http_method( task: Optional[Task] = None, method: str = "get", url: str = "", raise_for_status: bool = True, **kwargs: Any ) -> Result: """ This is a convenience task that uses `requests <http://docs.python-requests.org/en/master/>`_ to interact with an HTTP server. Arguments: ...
python
def http_method( task: Optional[Task] = None, method: str = "get", url: str = "", raise_for_status: bool = True, **kwargs: Any ) -> Result: """ This is a convenience task that uses `requests <http://docs.python-requests.org/en/master/>`_ to interact with an HTTP server. Arguments: ...
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This is a convenience task that uses `requests <http://docs.python-requests.org/en/master/>`_ to interact with an HTTP server. Arguments: method: HTTP method to call url: URL to connect to raise_for_status: Whether to call `raise_for_status <http://docs.python-requests.org/e...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/plugins/tasks/apis/http_method.py#L7-L48
train
This is a convenience task that interacts with an HTTP server and returns the response body of the HTTP request.
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nornir-automation/nornir
nornir/plugins/tasks/networking/netmiko_send_config.py
netmiko_send_config
def netmiko_send_config( task: Task, config_commands: Optional[List[str]] = None, config_file: Optional[str] = None, **kwargs: Any ) -> Result: """ Execute Netmiko send_config_set method (or send_config_from_file) Arguments: config_commands: Commands to configure on the remote netwo...
python
def netmiko_send_config( task: Task, config_commands: Optional[List[str]] = None, config_file: Optional[str] = None, **kwargs: Any ) -> Result: """ Execute Netmiko send_config_set method (or send_config_from_file) Arguments: config_commands: Commands to configure on the remote netwo...
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Execute Netmiko send_config_set method (or send_config_from_file) Arguments: config_commands: Commands to configure on the remote network device. config_file: File to read configuration commands from. kwargs: Additional arguments to pass to method. Returns: Result object with t...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/plugins/tasks/networking/netmiko_send_config.py#L6-L33
train
Execute Netmiko send_config_set or send_config_from_file method on the remote network device.
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nornir-automation/nornir
nornir/plugins/tasks/networking/napalm_configure.py
napalm_configure
def napalm_configure( task: Task, dry_run: Optional[bool] = None, filename: Optional[str] = None, configuration: Optional[str] = None, replace: bool = False, ) -> Result: """ Loads configuration into a network devices using napalm Arguments: dry_run: Whether to apply changes or ...
python
def napalm_configure( task: Task, dry_run: Optional[bool] = None, filename: Optional[str] = None, configuration: Optional[str] = None, replace: bool = False, ) -> Result: """ Loads configuration into a network devices using napalm Arguments: dry_run: Whether to apply changes or ...
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Loads configuration into a network devices using napalm Arguments: dry_run: Whether to apply changes or not filename: filename containing the configuration to load into the device configuration: configuration to load into the device replace: whether to replace or merge the configura...
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3425c47fd870db896cb80f619bae23bd98d50c74
https://github.com/nornir-automation/nornir/blob/3425c47fd870db896cb80f619bae23bd98d50c74/nornir/plugins/tasks/networking/napalm_configure.py#L6-L40
train
Configure the nornir system with the given configuration.
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