from deterministics.deterministic_with_compute_value import DeterministicWithComputeValue
import numpy as np
from deterministics.team import TeamValueAccessor


class Game(DeterministicWithComputeValue):

    @classmethod
    def _compute_value(cls, team1=None, team2=None):

        def get_o_f(t):
            return TeamValueAccessor.get_offensive_firepower(t)

        def get_s_vs_o(t):
            return TeamValueAccessor.get_stopping_power_vs_offense(t)

    @classmethod
    def _compute_probability_of_scoring(cls, firepower, stopping_power):
        arg = firepower - stopping_power
        e_arg = np.exp(arg)
        p = e_arg / (1.0 + e_arg)
        return p

    def __init__(self, name, team1, team2, **kwargs):
        parents = {'team1': team1, 'team2': team2}
        super(Game, self).__init__(name, parents, **kwargs)

4854ae68fd71aff897d240c40c85a22a9ddefeb7
<mask token>


class Game(DeterministicWithComputeValue):
    <mask token>

    @classmethod
    def _compute_probability_of_scoring(cls, firepower, stopping_power):
        arg = firepower - stopping_power
        e_arg = np.exp(arg)
        p = e_arg / (1.0 + e_arg)
        return p
    <mask token>

<mask token>


class Game(DeterministicWithComputeValue):

    @classmethod
    def _compute_value(cls, team1=None, team2=None):

        def get_o_f(t):
            return TeamValueAccessor.get_offensive_firepower(t)

        def get_s_vs_o(t):
            return TeamValueAccessor.get_stopping_power_vs_offense(t)

    @classmethod
    def _compute_probability_of_scoring(cls, firepower, stopping_power):
        arg = firepower - stopping_power
        e_arg = np.exp(arg)
        p = e_arg / (1.0 + e_arg)
        return p
    <mask token>

<mask token>


class Game(DeterministicWithComputeValue):

    @classmethod
    def _compute_value(cls, team1=None, team2=None):

        def get_o_f(t):
            return TeamValueAccessor.get_offensive_firepower(t)

        def get_s_vs_o(t):
            return TeamValueAccessor.get_stopping_power_vs_offense(t)

    @classmethod
    def _compute_probability_of_scoring(cls, firepower, stopping_power):
        arg = firepower - stopping_power
        e_arg = np.exp(arg)
        p = e_arg / (1.0 + e_arg)
        return p

    def __init__(self, name, team1, team2, **kwargs):
        parents = {'team1': team1, 'team2': team2}
        super(Game, self).__init__(name, parents, **kwargs)

from deterministics.deterministic_with_compute_value import DeterministicWithComputeValue
import numpy as np
from deterministics.team import TeamValueAccessor


class Game(DeterministicWithComputeValue):

    @classmethod
    def _compute_value(cls, team1=None, team2=None):

        def get_o_f(t):
            return TeamValueAccessor.get_offensive_firepower(t)

        def get_s_vs_o(t):
            return TeamValueAccessor.get_stopping_power_vs_offense(t)

    @classmethod
    def _compute_probability_of_scoring(cls, firepower, stopping_power):
        arg = firepower - stopping_power
        e_arg = np.exp(arg)
        p = e_arg / (1.0 + e_arg)
        return p

    def __init__(self, name, team1, team2, **kwargs):
        parents = {'team1': team1, 'team2': team2}
        super(Game, self).__init__(name, parents, **kwargs)
