Пример #1
0
    def parse_sweep_config(sweep_config) -> typ.List[typ.List[str]]:
        """
        Takes in a sweep config and determines paths to the sweep tokens in the config.

        Uses the fact that all sweep tokens in the config are prefixed by the SWEEP_PREFIX (~) character.

        Each token path
        """
        # To identify the swept parameters,
        # use the fact that any parameter sweep must use the special prefix (~ by default)
        token_paths = get_only_paths(
            sweep_config,
            pred=lambda p: any(lambda s: QuinSweep.SWEEP_PREFIX in str(s), p),
            stop_at=QuinSweep.SWEEP_PREFIX)

        # As output, we get a list of paths that point to locations of all the ~ tokens in the config
        token_paths = list(map(tuple, token_paths))

        # Confirm that all the tokens followed by ~ are correctly specified
        all_tokens_ok = all(
            lambda s: s.startswith(QuinSweep.SWEEP_PREFIX) and s.strip(
                QuinSweep.SWEEP_PREFIX) in QuinSweep.SWEEP_TOKENS,
            map(last, token_paths))
        assert all_tokens_ok, f'Unknown token: sweep config failed parsing. ' \
                              f'Only tokens {QuinSweep.SWEEP_TOKENS} are allowed.'

        return token_paths
Пример #2
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    def parse_fixed_parameters(sweep_config):
        # Extract the locations of the other non-swept, fixed parameters
        # use the fact that the other parameters must not be prefixed by the special prefix
        fixed_parameters = get_only_paths(
            sweep_config,
            pred=lambda p: all(lambda s: QuinSweep.SWEEP_PREFIX not in str(s),
                               p))

        # Make Parameter objects
        fixed_parameters = list(
            map(
                lambda tp: Parameter(tp, f'{".".join(map(str, tp))}.0',
                                     get_in(sweep_config, tp)),
                fixed_parameters))
        return fixed_parameters
Пример #3
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    def replace_underscores(self, swept_parameter):
        """
        Replace all the underscore references in sweep of swept_parameter.
        """

        # Find all the references (i.e. dependencies) made by the swept_parameter
        references = []
        for token in QuinSweep.SWEEP_TOKENS[:
                                            -1]:  # omit default since it's value is never a dict
            if f"~{token}" in swept_parameter.sweep and is_mapping(
                    swept_parameter.sweep[f"~{token}"]):
                references.extend(
                    list(swept_parameter.sweep[f"~{token}"].keys()))

        # Find all the referred parameters
        parsed_references = list(map(QuinSweep.parse_ref_dotpath, references))
        dotpaths = list(cat(parsed_references))
        ref_dict = merge_with(compose(list, cat),
                              *list(map(lambda e: dict([e]), dotpaths)))

        # TODO: there's a bug here potentially
        assert all(map(lambda l: len(l) == len(set(l)), list(itervalues(ref_dict)))), \
            'All conditions must be distinct.'

        ref_dict_no_underscores = walk_values(
            compose(set,
                    autocurry(map)(int),
                    autocurry(filter)(lambda e: e != '_')), ref_dict)

        if not references:
            return swept_parameter

        def compute_possibilities(full_dotpath, reference):
            # Look up the parameter using the dotpath
            parameter = self.swept_parameters_dict[full_dotpath]

            # Use the reference to figure out how many possiblities exist for the underscore
            if len(reference) > 0:
                # Merge all the sweeps performed for this parameter
                merged_sweep = merge(
                    *list(filter(is_mapping, itervalues(parameter.sweep))))
                # Look up the reference
                return len(merged_sweep[reference])

            assert len(
                parameter.sweep
            ) == 1, 'If no reference, must be a single unconditional sweep.'
            # The number of possibilities is simply the number of values specified
            # in the (product/disjoint) unconditional sweep
            return len(list(parameter.sweep.values())[0])

        # Update the sweep by replacing underscores
        updated_sweep = swept_parameter.sweep

        # Loop over all the parsed references
        for parsed_ref in parsed_references:

            # Expand all the partial dotpaths
            # TODO: remove? expanding all the partial dotpaths in the beginning?
            parsed_ref = list(
                map(lambda t: (self.expand_partial_dotpath(t[0]), t[1]),
                    parsed_ref))

            # For each parsed reference, there will be multiple (dotpath, idx) pairs
            for i, (full_dotpath, ref_idx) in enumerate(parsed_ref):

                # If the reference index is not an underscore, continue
                if not ref_idx == '_':
                    continue

                # Compute the prefix reference
                prefix_reference = ".".join(list(cat(parsed_ref[:i])))

                # Compute the number of possible ways to replace the underscore
                n_possibilities = compute_possibilities(
                    full_dotpath, prefix_reference)
                replacements = set(range(
                    n_possibilities)) - ref_dict_no_underscores[full_dotpath]

                # Find the path to the underscore condition
                path_to_condition = get_only_paths(
                    updated_sweep,
                    lambda p: any(lambda e: '_' in e, p),
                    stop_at=full_dotpath)[0]

                # Find the value of the underscore condition
                value = tz.get_in(path_to_condition, updated_sweep)

                # Construct keys that are subtitutes for the underscore
                keys = list(map(lambda s: f'{full_dotpath}.{s}', replacements))
                keys = list(map(lambda k: path_to_condition[:-1] + [k], keys))

                # Update by adding those keys in
                for k in keys:
                    updated_sweep = tz.assoc_in(updated_sweep, k, value)

        # Create a new swept parameter with the updated sweep
        swept_parameter = SweptParameter(
            swept_parameter.path,
            walk_values(
                iffy(is_mapping,
                     autocurry(select_keys)(lambda k: '_' not in k)),
                updated_sweep))
        return swept_parameter