How to use get_bo method in avocado

Best Python code snippet using avocado_python

vb_oil.py

Source:vb_oil.py

1import numpy as np2import pandas as pd3import matplotlib.pyplot as plt4import seaborn as sns5sns.set() # probably not a best practice for a module - fix class call to sns.6class vb_oil:7    '''8    ...9    An instance of the vb_oil class represents a liquid that10    behaves as described by the Vasquez-Beggs Oil Correlation.11    ...12    Required Arguments:13    --------14    Yo :    Oil Specific Gravity (degrees API)15    Yg :    Gas Specific Gravity (decimal ratio)16    Rsi:    Initial Solution Gas-Oil Ratio (SCF/STB)17    T  :    Temperature (degrees Fahrenheit)18    ...19    Methods20    --------21    get_Rs(P) : returns the solution gas-oil ratio of the fluid at a22                given pressure23    get_Pb()  : returns the bubble-point pressure of the fluid based24                on fluid parameters entered as arguments in the class25    plot_Rs() : returns a chart showing solution gas-oil ratio behavior26                from pressure = 0 PSIG to pressure = 1.3 * Pb27    get_Bo(P) : returns the oil formation volume factor in Stocktank Barrels28                per Reservoir Barrel (STB/RB) at a given pressure29    plot_Bo() : returns a chart showing oil formation volume factor behavior30                from pressure = 0 PSIG to pressure = 1.3 * Pb31    summary() : returns a Pandas dataframe summarizing key fluid properties32    ...33    '''34    def __init__(self, Yo, Yg, Rsi, T):35        self.Yo = Yo36        self.Yg = Yg37        self.Rsi = Rsi38        self.T = T39        self.Pb = self.get_Pb()40        self.co = .000006 # for now...need to add a co function later41    def __repr__(self):42        return 'vb_oil({}, {}, {}, {})'.format(self.Yo, self.Yg, self.Rsi, self.T)43    def __str__(self):44        return 'Vasquez-Beggs Oil\n\45            Yo  = {}\n\46            Yg  = {}\n\47            Rsi = {}\n\48            T   = {}'.format(self.Yo, self.Yg, self.Rsi, self.T)49    def get_Rs(self, P):50        if self.Yo > 30:51            c1 = .017852            c2 = 1.18753            c3 = 23.93154        else:55            c1 = .036256            c2 = 1.093757            c3 = 25.72458        if P > self.Pb:59            Rs = self.Rsi60        else:61            Rs = c1 * self.Yg * P**c2 * np.exp(c3 * (self.Yo / (self.T + 460)))62        return Rs63    def get_Pb(self):64        if self.Yo > 30:65            c1 = .017866            c2 = 1.18767            c3 = 23.93168        else:69            c1 = .036270            c2 = 1.093771            c3 = 25.72472        Pb = (self.Rsi / (c1 * self.Yg * np.exp(c3 * (self.Yo / (self.T + 460))))) ** (1 / c2)73        return Pb74    def plot_Rs(self):75        xs = np.linspace(0, self.Pb, 1000).tolist()76        ys = []77        for i in xs:78            ys.append(self.get_Rs(i))79        x2, x3 = self.Pb, 1.5 * self.Pb80        y2, y3 = self.get_Rs(x2), self.get_Rs(x3)81        xs.extend([x2, x3])82        ys.extend([y2, y3])83        plt.figure(figsize=(4,3))84        plt.plot(xs, ys)85        plt.ylim(None, 1.2 * y3)86        plt.xlabel('Pressure (PSI)')87        plt.ylabel('Rs');88    def get_Bo(self, P):89        if self.Yo > 30:90            c1 = 4.67e-491            c2 = 1.1e-592            c3 = 1.377e-993        else:94            c1 = 4.677e-495            c2 = 1.751e-596            c3 = -1.811e-897        Bob = 1 + c1 * self.get_Rs(self.Pb) + c2 * (self.T - 60) * (98            self.Yo / self.Yg) + c3 * self.get_Rs(self.Pb) * (self.T - 60) * (self.Yo / self.Yg)99        if P < self.Pb:100            Bo = 1 + c1 * self.get_Rs(P) + c2 * (self.T - 60) * (101                self.Yo / self.Yg) + c3 * self.get_Rs(P) * (self.T - 60) * (self.Yo / self.Yg)102        else:103            Bo = Bob * np.exp(self.co * (self.Pb - P))104        return Bo105    def plot_Bo(self):106        xs = []107        ys = []108        psubi = 0109        n = 1000110        for i in range(n):111            xs.append(psubi)112            ys.append(self.get_Bo(psubi))113            psubi = psubi + self.Pb * 1.5 / n114        plt.figure(figsize=(4,3))115        plt.plot(xs, ys);116        plt.xlabel('Pressure (PSI)')117        plt.ylabel('Oil FVF')118        plt.ylim(1,2)119    def summary(self):...

wandb_branin.py

Source:wandb_branin.py

...36    'num_init': num_init,37    'ind_bo': ind_bo,38}39wandb.init(project='wandb-branin', entity='jungtaekkim', config=config)40def get_bo(str_fun, range_X, fun_target, num_iter, str_surrogate, str_cov, str_acq, str_initial_method_bo, str_optimizer_method_bo, num_samples_ao, normalize_Y):41    model_bo = BayesianOptimization(range_X, fun_target, num_iter,42        str_surrogate=str_surrogate,43        str_cov=str_cov,44        str_acq=str_acq,45        normalize_Y=normalize_Y,46        use_ard=True,47        str_initial_method_bo=str_initial_method_bo,48        str_sampling_method_ao='sobol',49        str_optimizer_method_gp='BFGS',50        str_optimizer_method_tp='SLSQP',51        str_optimizer_method_bo=str_optimizer_method_bo,52        str_mlm_method='regular',53        str_modelselection_method='ml',54        num_samples_ao=num_samples_ao,55        str_exp=str_fun,56        debug=False,57    )58    return model_bo59if __name__ == '__main__':60    seed = 4261    if str_fun == 'branin':62        obj_fun = Branin()63    else:64        raise ValueError()65    fun_target = obj_fun.output66    range_X = obj_fun.get_bounds()67    seed_ = seed * ind_bo + 10168    model_bo = get_bo(69        str_fun, 70        range_X, fun_target, num_iter,71        str_surrogate, str_cov, str_acq,72        str_initial_method, str_optimizer,73        num_samples_ao, normalize_Y74    )75    X = model_bo.model_bo.get_initials(str_initial_method, num_init, seed=seed_)76    Y = fun_target(X)77    times_overall = []78    times_surrogate = []79    times_acq = []80    ind_min = np.argmin(Y)81    wandb.log({82        'bx': X[ind_min],...

led.py

Source:led.py

...14    def check(self):15        # check status, and activity, if dimming, or whatever, run that, return 1 if completed and status updated16        pass17    def update(self, show=False):18        self.strip.setPixelColor(self.place, self.form_color(self.r, self.g, self.b, self.get_bo()))19        if show:20            self.strip.show()21    def set_color(self, color, show=False):22        self.strip.setPixelColor(self.place, color)23        if show:24            self.strip.show()25    def dim_in(self):26        if self.dim_level >= 100:27            return self.dim_level28    def dim_out(self):29        if self.dim_level <= 0:30            return self.dim_level31    def get_bo(self):32        return int(self.brightness) * int(self.dim_level) / 10033    def form_color(self, r, g, b, bo):34        def form_value(loc):35            return int((bo if bo != -1 else int(self.brightness)) * int(loc) / 255)36        return Color(form_value(r), form_value(g), form_value(b))37    def form_color_from_status(self, status, brightness_override=-1):...

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