rigetti / paranormal

A declarative, parameter-parsing library that provides multiple parsing interfaces (YAML, command line, and JSON)

paranormal

A declarative, parameter-parsing library that provides multiple parsing interfaces (YAML, command line, and JSON) for loading parameters.

Python Install:

Just install from PyPi using pip install paranormal.

Running unit tests

Unit tests can be executed by running pytest from top folder of the repository.

Using the Library

The following code samples show how this library is meant to be used.

Subclass Params

from paranormal.parameter_interface import *
from paranormal.params import *

# Note that only direct inheritance from Params is currently supported
class FrequencySweep(Params):
    """
    A frequency sweep measurement
    """
    freqs = SpanArangeParam(help='A list of frequencies to scan as [center, width, step]',
                            default=(1e9, 2e9, 0.1e9), unit='GHz')
    power = FloatParam(help='Power to transmit', default=-20, unit='dBm')
    pulse_samples = IntParam(help='Samples in the pulse', default=100)
    averages = IntParam(help='Number of sweeps to average over', default=10)
    is_test = BoolParam(help='Is this just a test', default=False)
    unseen_test = BoolParam(help='Hidden from the command line', default = False, hide=True)
    _unseen_test_2 = BoolParam(help='Hidden from the command line bc of the _', default=False)

Reading From the Command Line

parser = to_argparse(FrequencySweep)
# argparse will grab the command line arguments
# Ex command line: '--freqs 150 100 2 --power -40 --pulse_samples 200 --is_test'
args = parser.parse_args()
sweep_params = from_parsed_args(FrequencySweep, params_namespace=args)[0]

# even_simpler
sweep_params = create_parser_and_parse_args(FrequencySweep)

Setting and getting parameters

print(sweep_params.freqs)  # prints a numpy array of size (20,) array([0.0e+00, 1.0e+08, 2.0e+08, …
sweep_params.freqs = [5e9, 10e9, 2e9]
print(sweep_params.freqs)  # prints array([0.e+00, 2.e+09, 4.e+09, 6.e+09, 8.e+09])
print(sweep_params.is_test)  # prints True
sweep_params.freqs = [None, 10e9, 2e9]
print(sweep_params.freqs)  # prints [None, 10e9, 2e9]

JSON and YAML serialization

import json
import yaml  # pyyaml

d = to_json_serializable_dict(sweep_params)
s = json.dumps(d)
sweep_params = from_json_serializable_dict(json.loads(s))


to_yaml_file(sweep_params, 'test_params.yaml')
sweep_params = from_yaml_file('test_params.yaml')

Nested Params

class MultipleFreqSweeps(Params):
    sweep_1 = FrequencySweep(freqs=[0, 1e9, 0.1e9])  # overwrites default freqs value
    sweep_2 = FrequencySweep(freqs=[1e9, 2e9, 0.1e9])  # overwrites default freqs value
    
# Omit a nested param from the outer class:
class MultipleFreqSweepsHidden(Params):
    sweep_1 = FrequencySweep(freqs='__omit__')
    sweep_2 = FrequencySweep(power='__omit__')
        
# Customize prefixes used for command line parsing    
class MultipleFreqSweepsCustom(Params):
    sweep_1 = FrequencySweep()
    sweep_2 = FrequencySweep()
    __nested_prefixes__ = {'sweep_1': None, 'sweep_2': 'second_'}
    # Ex command line: '--freqs 100 120 2 --power -30 --second_power -40'
    
# Hide a nested param from the command line, but keep it in the class:
class MultipleFreqSweepsCustom(Params):
    sweep_1 = FrequencySweep()
    sweep_2 = FrequencySweep()
    __nested_prefixes__ = {'sweep_1': None, 'sweep_2': 'second_'}
    __params_to_hide__ = ['sweep_2_power']