3.6.2. qupulse.program.transformation

Functions

_are_valid_transformation_expressions(...)

_get_constant_output_channels(expressions, ...)

_has_time_dependent_values(expressions)

_instantiate_expression_dict(time, expressions)

chain_transformations(*transformations)

linear_transformation_from_pandas(transformation)

Creates a LinearTransformation object out of a pandas data frame.

Classes

ChainedTransformation(*transformations)

IdentityTransformation()

LinearTransformation(transformation_matrix, ...)

param transformation_matrix

Matrix describing the transformation with shape (output_channels, input_channels)

OffsetTransformation(offsets)

Adds an offset to each channel specified in offsets.

ParallelChannelTransformation(channels)

Set channel values to given values regardless their former existence.

ScalingTransformation(factors)

Transformation()

class qupulse.program.transformation.ChainedTransformation(*transformations: qupulse.program.transformation.Transformation)[source]

Bases: qupulse.program.transformation.Transformation

chain(next_transformation) → qupulse.program.transformation.Transformation[source]
property compare_key: Tuple[qupulse.program.transformation.Transformation, ...]

Implements compare_key.

get_constant_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]
get_input_channels(output_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_input_channels().

get_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_output_channels().

is_constant_invariant()[source]

Signals if the transformation always maps constants to constants.

property transformations: Tuple[qupulse.program.transformation.Transformation, ...]
class qupulse.program.transformation.IdentityTransformation[source]

Bases: qupulse.program.transformation.Transformation

chain(next_transformation: qupulse.program.transformation.Transformation) → qupulse.program.transformation.Transformation[source]
property compare_key: None

Implements compare_key.

get_constant_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]
get_input_channels(output_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_input_channels().

get_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_output_channels().

is_constant_invariant()[source]

Signals if the transformation always maps constants to constants.

class qupulse.program.transformation.LinearTransformation(transformation_matrix: numpy.ndarray, input_channels: Sequence[Union[str, int]], output_channels: Sequence[Union[str, int]])[source]

Bases: qupulse.program.transformation.Transformation

Parameters

  • transformation_matrix – Matrix describing the transformation with shape (output_channels, input_channels)

  • input_channels – Channel ids of the columns

  • output_channels – Channel ids of the rows

__init__(transformation_matrix: numpy.ndarray, input_channels: Sequence[Union[str, int]], output_channels: Sequence[Union[str, int]])[source]
Parameters

  • transformation_matrix – Matrix describing the transformation with shape (output_channels, input_channels)

  • input_channels – Channel ids of the columns

  • output_channels – Channel ids of the rows

property compare_key: Tuple[Tuple[Union[str, int]], Tuple[Union[str, int]], bytes]

Implements compare_key.

from_pandas() → qupulse.program.transformation.LinearTransformation

Creates a LinearTransformation object out of a pandas data frame.

Parameters

transformation (pandas.DataFrame) – The pandas.DataFrame object out of which a LinearTransformation will be formed.

Returns

the created LinearTransformation instance

get_constant_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]
get_input_channels(output_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_input_channels().

get_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_output_channels().

is_constant_invariant()[source]

Signals if the transformation always maps constants to constants.

class qupulse.program.transformation.OffsetTransformation(offsets: Mapping[Union[str, int], Union[numbers.Real, qupulse.expressions.sympy.ExpressionScalar]])[source]

Bases: qupulse.program.transformation.Transformation

Adds an offset to each channel specified in offsets.

Channels not in offsets are forewarded

Parameters

offsets – Channel -> offset mapping

__init__(offsets: Mapping[Union[str, int], Union[numbers.Real, qupulse.expressions.sympy.ExpressionScalar]])[source]

Adds an offset to each channel specified in offsets.

Channels not in offsets are forewarded

Parameters

offsets – Channel -> offset mapping

property compare_key: Hashable

Implements compare_key.

get_constant_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]
get_input_channels(output_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_input_channels().

get_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_output_channels().

is_constant_invariant()[source]

Signals if the transformation always maps constants to constants.

class qupulse.program.transformation.ParallelChannelTransformation(channels: Mapping[Union[str, int], Union[numbers.Real, qupulse.expressions.sympy.ExpressionScalar]])[source]

Bases: qupulse.program.transformation.Transformation

Set channel values to given values regardless their former existence. The values can be time dependent expressions.

Parameters

channels – Channels present in this map are set to the given value.

__init__(channels: Mapping[Union[str, int], Union[numbers.Real, qupulse.expressions.sympy.ExpressionScalar]])[source]

Set channel values to given values regardless their former existence. The values can be time dependent expressions.

Parameters

channels – Channels present in this map are set to the given value.

property compare_key: Hashable

Implements compare_key.

get_constant_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]
get_input_channels(output_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_input_channels().

get_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_output_channels().

is_constant_invariant()[source]

Signals if the transformation always maps constants to constants.

class qupulse.program.transformation.ScalingTransformation(factors: Mapping[Union[str, int], Union[numbers.Real, qupulse.expressions.sympy.ExpressionScalar]])[source]

Bases: qupulse.program.transformation.Transformation

property compare_key: Hashable

Implements compare_key.

get_constant_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]
get_input_channels(output_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_input_channels().

get_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Implements get_output_channels().

is_constant_invariant()[source]

Signals if the transformation always maps constants to constants.

class qupulse.program.transformation.Transformation[source]

Bases: qupulse.comparable.Comparable

chain(next_transformation: qupulse.program.transformation.Transformation) → qupulse.program.transformation.Transformation[source]
get_constant_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]
abstract get_input_channels(output_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Channels that are required for getting data for the requested output channel

abstract get_output_channels(input_channels: AbstractSet[Union[str, int]]) → AbstractSet[Union[str, int]][source]

Return the channel identifiers

is_constant_invariant()[source]

Signals if the transformation always maps constants to constants.

qupulse.program.transformation.chain_transformations(*transformations: qupulse.program.transformation.Transformation) → qupulse.program.transformation.Transformation[source]