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How to use _get_eq method in autotest

Best Python code snippet using autotest_python

equipment_controller.py

Source:equipment_controller.py

...8        is_item_owner = owner_id == user.user_id9        is_admin = user == trip.admin10        return user_has_role or is_item_owner or is_admin11    @staticmethod12    def _get_eq(equipment_id):13        eq = current_app.models.Equipment.get_equipment_by_id(equipment_id)14        return eq15    @staticmethod16    def _get_user(user_id):17        user = current_app.models.User.get_user_by_id(user_id)18        return user19    @staticmethod20    def _get_trip(trip_id):21        trip = current_app.models.Trip.get_trip_by_id(trip_id)22        return trip23    @classmethod24    def get_equipment_data(cls, equipment_id):25        equipment = cls._get_eq(equipment_id)26        user = cls._get_user(g.user_id)27        if equipment.trip in user.trips:28            return equipment, 20129        return 'You are not member of current trip', 40230    @classmethod31    def update_equipment(cls, equipment_id, data):32        item = cls._get_eq(equipment_id)33        if cls._user_has_privileges(item.trip_id, item.role_id, item.owner_id):34            response = current_app.models.Equipment.update_equipment(equipment_id, data)35            return response, 20136        return 'You dont have rights', 40237    @classmethod38    def delete_equipment(cls, equipment_id):39        item = cls._get_eq(equipment_id)40        if cls._user_has_privileges(item.trip_id, item.role_id, item.owner_id):41            response = current_app.models.Equipment.delete_equipment(equipment_id)42            return response, 20143        return 'You dont have rights', 40244    @classmethod45    def create_equipment(cls, data):46        if cls._user_has_privileges(data['trip_id'], data.get('role_id'), data.get('owner_id')):47            response = current_app.models.Equipment.create_equipment(data)48            return response, 20149        return 'You dont have rights', 40250    @classmethod51    def assign_equipment_to_users(cls, equipment_id, users_eq_amount):52        equipment = cls._get_eq(equipment_id)53        user = cls._get_user(g.user_id)54        target_users = [cls._get_user(u_eq['user_id']) for u_eq in users_eq_amount]55        trip = cls._get_trip(equipment.trip_id)56        user_has_role = equipment.role_id in (role.id for role in user.roles)57        is_admin = user == trip.admin58        target_users_in_trip = cls._check_if_users_in_trip(target_users, trip)59        if (user_has_role or is_admin) and target_users_in_trip:60            target_equipment_amount = cls._get_incoming_eq_amount(equipment_id, users_eq_amount)61            if equipment.quantity < target_equipment_amount:62                return 'Too many items to dispense', 40963            for user_eq_amount in users_eq_amount:64                current_app.models.EquipmentUser.assign_equipment_to_user(65                    user_eq_amount['user_id'], equipment_id, user_eq_amount['equipment_amount']66                )...

mll.py

Source:mll.py

...29    phi = 0.0430    I_ampl = 9031    I = current.constant(tmax_I, dt, I_ampl)32    return MorrisLecar(I, phi, C, gL, gCa, gK, VL, VCa, VK, V1, V2, V3, V4, dt, stochastic='euler', Nk=Nk)33def _get_eq(neuron, dt):34    eq0 = np.array([-30, 0.13])35    dist = np.array([0.1, 0.001])36    tmax1 = 1000.037    tmax2 = 1100.038    return dyn.get_fixed_pt(neuron, eq0, tmax1, tmax2, dist, dt)39def main():40    ## 1. Generate neurons ##41    dt = 0.142    neuron = _gen_neuron(dt)43    mll = neuron.gen_model(MorrisLecarLin)44    ## 2. Get equilibrium point ##45    eq = _get_eq(neuron, dt)46    dv = 0.247    dw = 0.00248    ## 3. Initialize MLL ##49    mll.init(eq, dv, dw)50    ## 4. Generate signal ##51    tmax = 200.052    x0 = np.array([-25, 0.13])53    t = time.time()54    x = mll.signal(tmax, x0)55    print(f'Computation time: {time.time() - t}')56    ## 5. Plot results ##57    plot.tr(x[:,0], dt)58    plt.xlabel('t')59    plt.ylabel('v')...

mlj.py

Source:mlj.py

...29    phi = 0.0430    I_ampl = 9031    I = current.constant(tmax_I, dt, I_ampl)32    return MorrisLecar(I, phi, C, gL, gCa, gK, VL, VCa, VK, V1, V2, V3, V4, dt, stochastic='euler', Nk=Nk)33def _get_eq(neuron, dt):34    eq0 = np.array([-30, 0.13])35    dist = np.array([0.1, 0.001])36    tmax1 = 1000.037    tmax2 = 1100.038    return dyn.get_fixed_pt(neuron, eq0, tmax1, tmax2, dist, dt)39def main():40    ## 1. Generate neurons ##41    dt = 0.142    neuron = _gen_neuron(dt)43    mlj = neuron.gen_model(MorrisLecarJacobi)44    ## 2. Get equilibrium point ##45    eq = _get_eq(neuron, dt)46    ## 3. Initialize MLJ ##47    mlj.init(eq)48    ## 4. Generate signal ##49    tmax = 200.050    x0 = np.array([-25, 0.13])51    t = time.time()52    x = mlj.signal(tmax, x0)53    print(f'Computation time: {time.time() - t}')54    ## 5. Plot results ##55    plot.tr(x[:,0], dt)56    plt.xlabel('t')57    plt.ylabel('v')58    plt.figure()59    plot.pp(x)...

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