How to use list_functions method in localstack
Best Python code snippet using localstack_python
smoothing.py
Source:smoothing.py 
1import pyomo.environ as pe2import matplotlib.pyplot as plt3import numpy as np4import math5class SmoothFunction(object):6 def __init__(self,7 left_fun,8 right_fun,9 disc_point,10 start,11 end):12 self._f1 = left_fun13 self._f2 = right_fun14 self._b = disc_point15 self._n_points = 5016 self._start = start17 self._end = end18 self._band = 0.0519 self._k = 1.020 def f1(self, x):21 return self._f1(x)22 def f2(self, x):23 return self._f2(x)24 def discontinuous_f(self, x):25 if x <= self._b:26 return self.f1(x)27 else:28 return self.f2(x)29 def find_k(self, tee=False):30 m = pe.ConcreteModel()31 m.k = pe.Var(initialize=1.0, bounds=(0.0, None))32 m.s = pe.Var(initialize=0.0, bounds=(0.0, None))33 n_points = self._n_points34 start = self._start + 0.6*(self._b-self._start)35 end = self._b + 0.4*(self._end-self._b)36 data_p = np.linspace(start,37 end,38 n_points)39 difference = sum(abs(self.f1(p) - self.f2(p)) for p in data_p)40 if difference > 0:41 sampled = list(map(self.discontinuous_f, data_p))42 def init_y(m, i):43 return sampled[i]44 m.y = pe.Var(range(n_points), initialize=init_y)45 m.c_list = pe.ConstraintList()46 for i, x in enumerate(data_p):47 sigma = 1.0 / (1 + pe.exp(-m.k * (x - self._b)))48 m.c_list.add(m.y[i] == (1 - sigma) * self.f1(x) + sigma * self.f2(x))49 sigma = 1.0 / (1 + pe.exp(-m.k * self._band * self._b))50 m.smooth = pe.Constraint(expr=0.05 + m.s == sigma * (1 - sigma))51 m.obj = pe.Objective(expr=sum((m.y[i] - sampled[i]) ** 2 for i in range(n_points)) + m.s**2, sense=pe.minimize)52 opt = pe.SolverFactory('ipopt')53 opt.solve(m, tee=tee)54 self._k = pe.value(m.k)55 else:56 self._k = 1.057 def __call__(self, *args, **kwargs):58 x = args[0]59 sigma = 1.0/(1.0+pe.exp(-self._k*(x-self._b)))60 return (1-sigma)*self.f1(x) + sigma*self.f2(x)61class SmoothNamedFunction(object):62 def __init__(self,63 left_fun,64 right_fun,65 disc_point,66 start,67 end,68 name):69 self._f1 = left_fun70 self._f2 = right_fun71 self._b = disc_point72 self._n_points = 5073 self._start = start74 self._end = end75 self._band = 0.0576 self._k = 1.077 self._name = name78 def f1(self, x):79 return self._f1(self._name, x)80 def f2(self, x):81 return self._f2(self._name, x)82 def discontinuous_f(self, x):83 if x <= self._b:84 return self.f1(x)85 else:86 return self.f2(x)87 def find_k(self, tee=False):88 m = pe.ConcreteModel()89 m.k = pe.Var(initialize=1.0, bounds=(0.0, None))90 m.s = pe.Var(initialize=0.0, bounds=(0.0, None))91 n_points = self._n_points92 start = self._start + 0.6*(self._b-self._start)93 end = self._b + 0.4*(self._end-self._b)94 data_p = np.linspace(start,95 end,96 n_points)97 difference = sum(abs(self.f1(p) - self.f2(p)) for p in data_p)98 if difference > 0:99 sampled = list(map(self.discontinuous_f, data_p))100 def init_y(m, i):101 return sampled[i]102 m.y = pe.Var(range(n_points), initialize=init_y)103 m.c_list = pe.ConstraintList()104 for i, x in enumerate(data_p):105 sigma = 1.0 / (1 + pe.exp(-m.k * (x - self._b)))106 m.c_list.add(m.y[i] == (1 - sigma) * self.f1(x) + sigma * self.f2(x))107 sigma = 1.0 / (1 + pe.exp(-m.k * self._band * self._b))108 m.smooth = pe.Constraint(expr=0.05 + m.s == sigma * (1 - sigma))109 m.obj = pe.Objective(expr=sum((m.y[i] - sampled[i]) ** 2 for i in range(n_points)) + m.s**2, sense=pe.minimize)110 opt = pe.SolverFactory('ipopt')111 opt.solve(m, tee=tee)112 self._k = pe.value(m.k)113 else:114 self._k = 1.0115 def __call__(self, *args, **kwargs):116 name = args[0]117 x = args[1]118 sigma = 1.0/(1.0+pe.exp(-self._k*(x-self._b)))119 return (1-sigma)*self.f1(x) + sigma*self.f2(x)120def smooth_functions(list_functions, list_points, tee=False):121 n_functions = len(list_functions)122 my_fun = list_functions[0]123 fl = list_functions[0]124 tl = list_points[0]125 for i in range(1, n_functions):126 fr = list_functions[i]127 tm = list_points[i]128 tr = list_points[i+1]129 my_fun = SmoothFunction(fl, fr, tm, tl, tr)130 my_fun.find_k(tee=tee)131 fl = my_fun132 tl = list_points[i]133 return my_fun134def smooth_named_functions(list_functions, list_points, name, tee=False):135 n_functions = len(list_functions)136 my_fun = list_functions[0]137 fl = list_functions[0]138 tl = list_points[0]139 for i in range(1, n_functions):140 fr = list_functions[i]141 tm = list_points[i]142 tr = list_points[i+1]143 my_fun = SmoothNamedFunction(fl, fr, tm, tl, tr, name)144 my_fun.find_k(tee=tee)145 fl = my_fun146 tl = list_points[i]147 return my_fun148class PieceWiseFunction(object):149 def __init__(self, list_functions, list_points):150 self.functions = list_functions151 self.points = np.array(list_points)152 def __call__(self, *args, **kwargs):153 x = args[0]154 greater_than = self.points > x155 if np.all(greater_than == False):156 return self.functions[-1](x)157 idx = np.argmax(greater_than)158 if idx == 0:159 return self.functions[idx](x)160 else:161 idx = idx-1162 return self.functions[idx](x)163class PieceWiseNamedFunction(object):164 def __init__(self, list_functions, list_points, name):165 self.functions = list_functions166 self.points = np.array(list_points)167 self.name = name168 def __call__(self, *args, **kwargs):169 x = args[1]170 n = args[0]171 greater_than = self.points > x172 if np.all(greater_than == False):173 return self.functions[-1](n, x)174 idx = np.argmax(greater_than)175 if idx == 0:176 return self.functions[idx](n, x)177 else:178 idx = idx - 1179 return self.functions[idx](n, x)180if __name__ == "__main__":181 b = 100.0182 e = 200.0183 def f1(x):184 return 400 - 3 * x * 3185 def f2(x):186 return 50.0 + x187 def f3(x):188 return 50 + 2 * x + x * 3189 def jump_f(x):190 if x <= b:191 return f1(x)192 else:193 return f2(x)194 def s(x, x0, a):195 return 1.0 / (1 + math.exp(-a * (x - x0)))196 funcs = [f1, f2, f3]197 bpoints = [0.0, 22.0, 50.0, 70.0]198 smoothed = smooth_functions(funcs, bpoints)199 all_x = np.linspace(bpoints[0], bpoints[-1], 1000)200 all_y = list(map(smoothed, all_x))201 plt.plot(all_x, all_y)202 for i, fn in enumerate(funcs):203 l = np.linspace(bpoints[i], bpoints[i + 1], 100)204 z = list(map(fn, l))205 plt.plot(l, z, 'r')206 if i > 0:207 plt.plot([bpoints[i], bpoints[i]], [fn(bpoints[i]), funcs[i - 1](bpoints[i])], 'r')208 plt.show()209 x1 = np.linspace(0.0, b, 1000)210 y1 = list(map(f1, x1))211 x2 = np.linspace(b, e, 1000)212 y2 = list(map(f2, x2))213 my_fun = SmoothFunction(f1, f2, b, 0.0, e)214 my_fun.find_k(tee=True)215 sol_k = my_fun._k216 def sm(x):217 return s(x, b, sol_k)218 def ds(x):219 return sm(x) * (1 - sm(x))220 x3 = np.linspace(0.0, e, 1000)221 y3 = list(map(my_fun, x3))222 smooth = list(map(sm, x3))223 dsmooth = list(map(ds, x3))224 fig = plt.figure()225 ax1 = fig.add_subplot(1, 2, 1)226 ax1.plot(x1, y1)227 ax1.plot(x2, y2)228 ax1.plot(x3, y3)229 # ax2 = fig.add_subplot(1, 3, 2)230 # ax2.plot(x3, smooth)231 ax3 = fig.add_subplot(1, 2, 2)232 ax3.plot(x3, dsmooth)...
main.py
Source:main.py
1import tkinter2from tkinter import *3import numpy as np4from matplotlib import pyplot as plt5list_functions = []6def peres():7 res = []8 for i in range(len(list_functions[lbox.curselection()[0]])):9 min = list_functions[lbox.curselection()[0]][i]10 if list_functions[lbox.curselection()[1]][i] < min:11 min = list_functions[lbox.curselection()[1]][i]12 res.append(min)13 list_functions.append(res)14 listbox_update()15def obed():16 res = []17 for i in range(len(list_functions[lbox.curselection()[0]])):18 max = list_functions[lbox.curselection()[0]][i]19 if list_functions[lbox.curselection()[1]][i] > max:20 max = list_functions[lbox.curselection()[1]][i]21 res.append(max)22 list_functions.append(res)23 listbox_update()24def count_function(x, a, b, c, d, isTrapezoid):25 result = []26 if isTrapezoid:27 for i in x:28 if a <= i <= d:29 if a <= i <= b:30 result.append(1 - (b - i) / (b - a))31 continue32 if b <= i <= c:33 result.append(1)34 continue35 if c <= i <= d:36 result.append(1 - (i - c) / (d - c))37 continue38 else:39 result.append(0)40 else:41 for i in x:42 if a <= i <= c:43 if a <= i <= b:44 result.append(1 - (b - i) / (b - a))45 continue46 if b <= i <= c:47 result.append(1 - (i - b) / (c - b))48 else:49 result.append(0)50 return result51# Ð¿Ð¾Ð»Ñ Ð´Ð»Ñ Ð²Ð²Ð¾Ð´Ð° знаÑений52def clicked():53 x = np.arange(100)54 a = int(fn_1_1.get())55 b = int(fn_1_2.get())56 c = int(fn_1_3.get())57 d = int(fn_1_4.get())58 list_functions.append(count_function(x, a, b, c, d, CheckVar1.get()))59 listbox_update()60def show():61 for i in list_functions:62 plt.plot(i)63 plt.show()64def change():65 list_functions.pop(lbox.curselection()[0])66 x = np.arange(100)67 a = int(fn_1_1.get())68 b = int(fn_1_2.get())69 c = int(fn_1_3.get())70 d = int(fn_1_4.get())71 list_functions.append(count_function(x, a, b, c, d, CheckVar1.get()))72 listbox_update()73def del_function():74 list_functions.pop(lbox.curselection()[0])75 listbox_update()76def listbox_update():77 lbox.delete(0, tkinter.END)78 for i in range(len(list_functions)):79 lbox.insert(i, str(i))80# обÑединение гÑаÑиков пеÑеÑеÑение гÑаÑиков ÑÑÐ¾Ð±Ñ Ð¿Ð¾Ð»ÑзоваÑÐµÐ»Ñ Ñам вÑбиÑал, ÑедакÑиÑоваÑÑ81window = Tk() # окно82window.title("ÐÑенка обÑемов пÑодаж")83window.geometry('400x250') # ÑÐ°Ð·Ð¼ÐµÑ Ð¾ÐºÐ½Ð°84# function 185lbl_fn1 = Label(window, text="ФÑнкÑÐ¸Ñ 1:")86lbl_fn1.grid(column=0, row=1)87fn_1_1 = Entry(window, width=5)88fn_1_1.grid(column=1, row=1)89fn_1_2 = Entry(window, width=5)90fn_1_2.grid(column=1, row=2)91fn_1_3 = Entry(window, width=5)92fn_1_3.grid(column=1, row=3)93fn_1_4 = Entry(window, width=5)94fn_1_4.grid(column=1, row=4)95CheckVar1 = BooleanVar()96chk_fn1 = Checkbutton(window, text='ТÑапеÑевиднаÑ?', variable=CheckVar1)97chk_fn1.grid(column=2, row=1)98btn = Button(window, text="ÐажаÑÑ!", command=clicked)99btn.grid(column=2, row=2)100btn_del = Button(window, text="ÐоказаÑÑ!", command=show)101btn_del.grid(column=2, row=3)102btn_change = Button(window, text="РедакÑиÑоваÑÑ!", command=change)103btn_change.grid(column=2, row=4)104btn_del = Button(window, text="УдалиÑÑ!", command=del_function)105btn_del.grid(column=2, row=5)106lbox = Listbox(width=15, height=8, selectmode='multiple')107lbox.grid(column=1, row=8)108btn_obed = Button(window, text="ÐбÑедениÑÑ!", command=obed)109btn_obed.grid(column=3, row=5)110btn_peres = Button(window, text="ÐеÑеÑеÑÑ!", command=peres)111btn_peres.grid(column=3, row=6)...
3-10.py
Source:3-10.py
1# every function2list_functions = ['indexing', 'append', 'insert', 'pop', 'remove',3 'sorted', 'reverse', 'index', 'len', 'sort']4print(list_functions)5# index6list_functions[0] = 'index'7print(list_functions)8# append9list_functions.append('sorted')10print(list_functions)11# pop12popped_function = list_functions.pop(0)13print(list_functions)14print(f"We've lost the {popped_function} function")15# insert16list_functions.insert(0, 'index')17print(list_functions)18# remove19removed_function = list_functions.remove("index")20print(list_functions)21list_functions.insert(0, 'index')22print(list_functions)23# sorted - temporarily24print(sorted(list_functions))25print(list_functions)26# reverse27list_functions.reverse()28print(list_functions)29# len30print(len(list_functions))31# sort reverse - permanently32list_functions.sort(reverse=True)33print(list_functions)34# sort - permanently35list_functions.sort()...
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