piel.conversion#
Submodules#
Attributes#
Functions#
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Converts an array of optical transmission values to single-bit digital signals based on a threshold. |
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Converts a 2D array of binary files into a single string of binary values. |
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Converts an array to the specified output type. |
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Converts an AbstractBitsType to a BitsType (binary string format). |
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Converts specified integer columns in the dataframe to their binary string representations. |
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This function returns a Pandas dataframe that contains all the simulation files outputted from the simulation run. |
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Package Contents#
- absolute_to_threshold(array: piel.types.core.ArrayTypes, threshold: float = 1e-06, dtype_output: int | float | bool = int, output_array_type: piel.types.core.PackageArrayType = 'jax') piel.types.core.PackageArrayType[source]#
Converts an array of optical transmission values to single-bit digital signals based on a threshold.
- Parameters:
array (ArrayTypes) – The input array of any dimension representing optical transmission values.
threshold (float, optional) – The threshold value to determine the digital signal. Defaults to 1e-6.
dtype_output (int | float | bool, optional) – The desired files type for the output values. Defaults to int.
output_array_type (PackageArrayType, optional) – The desired output array type. Defaults to “jax”.
- Returns:
The array with values converted to digital signals (0 or 1) based on the threshold and specified output type.
- Raises:
ValueError – If the input array is not a numpy or jax array.
Examples
>>> absolute_to_threshold(jnp.array([1e-7, 0.1, 1.0]), threshold=1e-5, output_array_type="numpy") array([0, 1, 1])
- convert_2d_array_to_string(list_2D: list[list]) str[source]#
Converts a 2D array of binary files into a single string of binary values.
- Parameters:
list_2D (list[list]) – A 2D array of binary files where each sublist contains a single binary value.
- Returns:
A string of binary files.
- Return type:
str
Examples
>>> convert_2d_array_to_string([[0], [0], [0], [1]]) '0001'
- convert_array_type(array: piel.types.core.ArrayTypes, output_type: piel.types.core.PackageArrayType)[source]#
Converts an array to the specified output type.
- Parameters:
array (ArrayTypes) – The input array which can be of type numpy.ndarray or jax.ndarray.
output_type (PackageArrayType) – The desired output type, which can be “qutip”, “jax”, “numpy”, “list”, “tuple”, or a tuple of integers (TupleIntType).
- Returns:
The converted array in the specified output type.
- Raises:
ValueError – If the specified output type is not recognized or not supported.
Examples
>>> convert_array_type(np.array([1, 2, 3]), "jax") DeviceArray([1, 2, 3], dtype=int32)
>>> convert_array_type(jnp.array([1, 2, 3]), "numpy") array([1, 2, 3])
>>> convert_array_type(np.array([1, 2, 3]), TupleIntType) (1, 2, 3)
- convert_tuple_to_string#
- convert_to_bits(bits: piel.types.digital.AbstractBitsType) piel.types.digital.BitsType[source]#
Converts an AbstractBitsType to a BitsType (binary string format).
- Parameters:
bits (AbstractBitsType) – The digital bits to convert. Can be a string, bytes, or integer.
- Returns:
The converted bits in binary string format (without ‘0b’ prefix).
- Return type:
BitsType
- Raises:
TypeError – If the input type is not supported.
- convert_dataframe_to_bits(dataframe: pandas.DataFrame, ports_list: piel.types.digital.LogicSignalsList) pandas.DataFrame[source]#
Converts specified integer columns in the dataframe to their binary string representations.
- Parameters:
dataframe (pd.DataFrame) – The simulation files as a Pandas dataframe.
ports_list (LogicSignalsList) – List of column names (connection) to convert to binary string format.
- Returns:
The dataframe with specified columns converted to binary string format.
- Return type:
pd.DataFrame
- a2d#