コード例 #1
0
ファイル: reduction.py プロジェクト: nickvandewiele/reduction
def find_important_reactions(rmg, tolerance):
    """
    This function:

    - loops over all the species involved in a specific reaction
    - decides whether the specific reaction is important for the species.

    Whenever it is found that a reaction is important for a species, we break
    the species loop, and keep the reaction in the model.


    Returns:
        a list of rxns that can be removed.
    """

    global reactions
    
    # run the simulation, creating concentration profiles for each reaction system defined in input.
    simdata = simulate_all(rmg)

    reduce_reactions = [ReductionReaction(rxn) for rxn in reactions]

    """
    Tolerance to decide whether a reaction is unimportant for the formation/destruction of a species

    Tolerance is a floating point value between 0 and 1.

    A high tolerance means that many reactions will be deemed unimportant, and the reduced model will be drastically
    smaller.

    A low tolerance means that few reactions will be deemed unimportant, and the reduced model will only differ from the full
    model by a few reactions.
    """

    CHUNKSIZE = 40
    boolean_array = []
    for chunk in chunks(reduce_reactions,CHUNKSIZE):
        N = len(chunk)
        partial_results = list(map_(WorkerWrapper(assess_reaction), chunk, [rmg.reactionSystems] * N, [tolerance] * N, [simdata] * N))
        boolean_array.extend(partial_results)

    important_rxns = []
    for isImport, rxn in zip(boolean_array, reduce_reactions):
        logging.debug('Is rxn {rxn} important? {isImport}'.format(**locals()))
        if isImport:
            important_rxns.append(rxn)


    return [rxn.rmg_reaction for rxn in important_rxns]
コード例 #2
0
def find_important_reactions(rmg, tolerance):
    """
    This function:

    - loops over all the species involved in a specific reaction
    - decides whether the specific reaction is important for the species.

    Whenever it is found that a reaction is important for a species, we break
    the species loop, and keep the reaction in the model.


    Returns:
        a list of rxns that can be removed.
    """

    global reactions

    # run the simulation, creating concentration profiles for each reaction system defined in input.
    simdata = simulate_all(rmg)

    reduce_reactions = [ReductionReaction(rxn) for rxn in reactions]
    """
    Tolerance to decide whether a reaction is unimportant for the formation/destruction of a species

    Tolerance is a floating point value between 0 and 1.

    A high tolerance means that many reactions will be deemed unimportant, and the reduced model will be drastically
    smaller.

    A low tolerance means that few reactions will be deemed unimportant, and the reduced model will only differ from the full
    model by a few reactions.
    """

    CHUNKSIZE = 40
    boolean_array = []
    for chunk in chunks(reduce_reactions, CHUNKSIZE):
        N = len(chunk)
        partial_results = list(
            map_(WorkerWrapper(assess_reaction), chunk,
                 [rmg.reactionSystems] * N, [tolerance] * N, [simdata] * N))
        boolean_array.extend(partial_results)

    important_rxns = []
    for isImport, rxn in zip(boolean_array, reduce_reactions):
        logging.debug('Is rxn {rxn} important? {isImport}'.format(**locals()))
        if isImport:
            important_rxns.append(rxn)

    return [rxn.rmg_reaction for rxn in important_rxns]
コード例 #3
0
#    it under the terms of the GNU Lesser General Public License as
#    published by the Free Software Foundation, either version 3 of
#    the License, or (at your option) any later version.
#
#    SCOOP is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
#    GNU Lesser General Public License for more details.
#
#    You should have received a copy of the GNU Lesser General Public
#    License along with SCOOP. If not, see <http://www.gnu.org/licenses/>.
#
"""
Shows how to develop a program working with or without scoop launched
providing serial map fallback. This example works even if SCOOP isn't
installed.
"""
try:
    from scoop.futures import map as map_
except ImportError:
    map_ = map


def helloWorld(value):
    return "Hello World from Future #{0}".format(value)


if __name__ == "__main__":
    returnValues = list(map_(helloWorld, range(16)))
    print("\n".join(returnValues))
コード例 #4
0
#
#    SCOOP is free software: you can redistribute it and/or modify
#    it under the terms of the GNU Lesser General Public License as
#    published by the Free Software Foundation, either version 3 of
#    the License, or (at your option) any later version.
#
#    SCOOP is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
#    GNU Lesser General Public License for more details.
#
#    You should have received a copy of the GNU Lesser General Public
#    License along with SCOOP. If not, see <http://www.gnu.org/licenses/>.
#
"""
Shows how to develop a program working with or without scoop launched
providing serial map fallback. This example works even if SCOOP isn't
installed.
"""
try:
    from scoop.futures import map as map_
except ImportError:
    map_ = map

def helloWorld(value):
    return "Hello World from Future #{0}".format(value)

if __name__ == "__main__":
    returnValues = list(map_(helloWorld, range(16)))
    print("\n".join(returnValues))