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How to use cp_r method in localstack
Best Python code snippet using localstack_python
analisadorSemantico.py
Source:analisadorSemantico.py 
1import os234class analisadorSemantico:5 def __init__(self):6 self.filaSemantica = []7 self.tx = 08 self.armazenarEscritaDoCodigo = ""9 self.armazenarLoop = ""10 self.analisadorDeErro = 01112 def gerarArquivo(self):13 with open("programa.c", 'a') as arquivo:14 arquivo.write(self.armazenarEscritaDoCodigo)1516 def semantico(self, indiceDaProducoes, tabelaDeSimbolos):1718 if indiceDaProducoes == 2:19 cabecalho = "#include<stdio.h> \ntypedef char literal[256]; \nvoid main(void) { \n\t/*----Variaveis temporarias----*/\n"20 for x in range(self.tx):21 cabecalho += "{}int T{};\n".format("\t", x)22 cabecalho += "{}/*------------------------------*/\n".format("\t")23 self.armazenarEscritaDoCodigo = cabecalho + self.armazenarEscritaDoCodigo24 self.armazenarEscritaDoCodigo += "}"25 if(self.analisadorDeErro == 0):26 self.gerarArquivo()2728 elif indiceDaProducoes == 5:29 print("LV -> varfim ;")30 self.armazenarEscritaDoCodigo += ("\n\n\n")31 varfim = self.filaSemantica.pop()32 self.filaSemantica.append({'Classe': "LV", 'Token': varfim["Token"], 'Tipo': varfim["Tipo"], 'Linha': varfim["Linha"],'Coluna': varfim["Linha"]})3334 elif indiceDaProducoes == 6:35 print("D -> TIPO L;")36 i = 037 while i < len(tabelaDeSimbolos):38 if tabelaDeSimbolos[i]['Classe'] == self.filaSemantica[-2]['Classe']:39 tabelaDeSimbolos[i]['Tipo'] = self.filaSemantica[-2]['Tipo']40 i += 141 self.filaSemantica.pop()4243 elif indiceDaProducoes == 7:44 print("id.tipo = TIPO.tipo")45 self.filaSemantica[-3]["Tipo"] = self.filaSemantica[-2]["Tipo"]46 self.armazenarEscritaDoCodigo += ("{}{} {} ;\n".format("\t", self.filaSemantica[-2]["Tipo"], self.filaSemantica[-3]["Classe"]))47 self.filaSemantica.pop(-2)4849 elif indiceDaProducoes == 8:50 print("id.tipo = TIPO.tipo")51 self.filaSemantica[-1]["Tipo"] = self.filaSemantica[-2]["Tipo"]52 self.armazenarEscritaDoCodigo += ("{}{} {} ;\n".format("\t", self.filaSemantica[-2]["Tipo"], self.filaSemantica[-1]["Classe"]))53 self.filaSemantica.pop(-2)5455 elif indiceDaProducoes == 9:56 print("TIPO -> inteiro")57 TIPO = self.filaSemantica.pop()58 self.filaSemantica.append({'Classe': 'TIPO', 'Token': 'TIPO', 'Tipo': TIPO["Tipo"], 'Linha': TIPO["Linha"], 'Coluna': TIPO["Coluna"]})5960 elif indiceDaProducoes == 10:61 print("TIPO -> real")62 TIPO = self.filaSemantica.pop()63 self.filaSemantica.append({'Classe': 'TIPO', 'Token': 'TIPO', 'Tipo': TIPO["Tipo"], 'Linha': TIPO["Linha"], 'Coluna': TIPO["Coluna"]})6465 elif indiceDaProducoes == 11:66 print("TIPO -> literal")67 TIPO = self.filaSemantica.pop()68 self.filaSemantica.append({'Classe': 'TIPO', 'Token': 'TIPO', 'Tipo': TIPO["Tipo"], 'Linha': TIPO["Linha"], 'Coluna': TIPO["Coluna"]})6970 elif indiceDaProducoes == 13:71 print("ES -> leia id;")72 PT_V = self.filaSemantica.pop()73 id = self.filaSemantica.pop()74 self.filaSemantica.pop()75 self.filaSemantica.append({'Classe': "ES", 'Token': "", 'Tipo': "", 'Linha': id["Linha"], 'Coluna': id["Coluna"]})76 if id["Tipo"] != '':77 if id["Tipo"] == "literal":78 self.armazenarEscritaDoCodigo += ('{}scanf("%s", {}'.format("\t", id["Classe"]) + ");\n")79 elif id["Tipo"] == "int":80 self.armazenarEscritaDoCodigo += ('{}scanf("%d", &{}'.format("\t", id["Classe"]) + ");\n")81 elif id["Tipo"] == "real":82 self.armazenarEscritaDoCodigo += ('{}scanf("%lf", &{}'.format("\t", id["Classe"]) + ");\n")83 else:84 print("Erro: Variável não declarada na linha {} e coluna {}".format(PT_V["Linha"], PT_V["Coluna"]))85 self.analisadorDeErro = 18687 elif indiceDaProducoes == 14:88 print("ES -> escreva ARG;")89 self.filaSemantica.pop()90 ARG = self.filaSemantica.pop()91 self.filaSemantica.pop()92 self.filaSemantica.append({'Classe': "ES", 'Token': "", 'Tipo': "", 'Linha': ARG["Linha"], 'Coluna': ARG['Coluna']})93 if ARG["Tipo"] == 'literal':94 self.armazenarEscritaDoCodigo += ('{}printf("%s", {});\n'.format("\t", ARG["Classe"]))95 elif ARG["Tipo"] == 'int':96 self.armazenarEscritaDoCodigo += ('{}printf("%d", {});\n'.format("\t", ARG["Classe"]))97 elif ARG["Tipo"] == 'double':98 self.armazenarEscritaDoCodigo += ('{}printf("%lf", {});\n'.format("\t", ARG["Classe"]))99 else:100 if self.filaSemantica[-5]['Token'] == 'facaAte':101 self.armazenarLoop += '{}printf({});\n'.format("\t", ARG["Classe"])102 else:103 self.armazenarEscritaDoCodigo += ('{}printf({});\n'.format("\t", ARG["Classe"]))104105 elif indiceDaProducoes == 15:106 print("ARG.atributos <- literal.atributos ")107 ARG = self.filaSemantica.pop()108 self.filaSemantica.append(ARG)109110 elif indiceDaProducoes == 16:111 print("ARG.atributos <- num.atributos")112 ARG = self.filaSemantica.pop()113 self.filaSemantica.append(ARG)114115 elif indiceDaProducoes == 17:116 print("ARG.atributos <- id.atributos")117 ARG = self.filaSemantica.pop()118 if ARG["Tipo"] != '':119 self.filaSemantica.append(ARG)120 else:121 print("Erro: Variável não declarada na linha {} e coluna {}".format(ARG['Linha'], ARG['Coluna']))122 self.analisadorDeErro = 1123124 elif indiceDaProducoes == 19:125 print("CMD <- id rcb LD;")126 self.filaSemantica.pop()127 LD = self.filaSemantica.pop()128 rcb = self.filaSemantica.pop()129 id = self.filaSemantica.pop()130 if id["Tipo"] != '':131 if id["Tipo"] == LD["Tipo"]:132 self.armazenarEscritaDoCodigo += ("{}{} {} {};\n".format("\t",id["Classe"], rcb["Tipo"], LD["Classe"]))133 self.filaSemantica.append({'Classe': "CMD", 'Token': "Num", 'Tipo': id['Tipo'], 'Linha': id['Linha'], 'Coluna': id['Coluna']})134 else:135 print("Erro: Tipos diferentes para atribuição na linha {}".format(rcb["Linha"]))136 self.analisadorDeErro = 1137 else:138 print("Erro: Variável não declarada na linha {} e coluna {}".format(id["Linha"], id['Coluna']))139 self.analisadorDeErro = 1140141 elif indiceDaProducoes == 20:142 print("LD <- OPRD opm OPRD;")143 OPRD2 = self.filaSemantica.pop()144 opm = self.filaSemantica.pop()145 OPRD1 = self.filaSemantica.pop()146 if OPRD1["Tipo"] != "literal" and OPRD1["Tipo"] == OPRD2["Tipo"]:147 tx = self.tx148 self.armazenarEscritaDoCodigo += ("{}T{} = {} {} {};\n".format("\t",tx, OPRD1["Classe"], opm["Tipo"], OPRD2["Classe"]))149 self.filaSemantica.append({'Classe': "T{}".format(tx), 'Token': "", 'Tipo': OPRD1["Tipo"], 'Linha': OPRD1["Linha"], 'Coluna': OPRD1["Coluna"]})150 self.tx += 1151 else:152 print("Erro: Operandos com tipos incompatÃveis na linha {} e coluna {}".format(opm['Linha'], opm['Coluna']))153 self.analisadorDeErro = 1154155 elif indiceDaProducoes == 21:156 print("LD.atributos <- OPRD.atributos ")157 LD = self.filaSemantica.pop()158 self.filaSemantica.append(LD)159160 elif indiceDaProducoes == 22:161 print("OPRD.atributos <- id.atributos ")162 OPRD = self.filaSemantica.pop()163 if OPRD["Tipo"] != '':164 self.filaSemantica.append(OPRD)165 else:166 print("Erro: Variável não declarada na linha {} e coluna {}".format(OPRD['Linha'], OPRD['Coluna']))167 self.analisadorDeErro = 1168169 elif indiceDaProducoes == 23:170 print("OPRD.tipo <- num.tipo")171 OPRD = self.filaSemantica.pop()172 self.filaSemantica.append(OPRD)173174 elif indiceDaProducoes == 25:175 print("COND -> CAB CP")176 CAB = self.filaSemantica.pop()177 self.filaSemantica.pop()178 self.armazenarEscritaDoCodigo += ("\t"+"}\n")179 self.filaSemantica.append({'Classe': "COND", 'Token': "", 'Tipo': "", 'Linha': CAB["Linha"], 'Coluna': CAB["Coluna"]})180181 elif indiceDaProducoes == 26:182 print("CAB -> se (EXP_R) então")183 self.filaSemantica.pop()184 self.filaSemantica.pop()185 EXP_R = self.filaSemantica.pop()186 self.filaSemantica.pop()187 self.filaSemantica.pop()188 self.armazenarEscritaDoCodigo += ("{}if ( {} )\n".format("\t",EXP_R["Classe"]) + "\t{\n")189 self.filaSemantica.append({'Classe': "CAB", 'Token': "", 'Tipo': "", 'Linha': EXP_R["Linha"], 'Coluna': EXP_R["Coluna"]})190191 elif indiceDaProducoes == 27:192 print("EXP_R -> OPRD opr OPRD")193 OPRD2 = self.filaSemantica.pop()194 opr = self.filaSemantica.pop()195 OPRD1 = self.filaSemantica.pop()196197 if OPRD1["Tipo"] != '' and OPRD2["Tipo"] != '':198 if (OPRD1["Tipo"] == "int" or OPRD1["Tipo"] == 'double') and (OPRD2["Tipo"] == "int" or OPRD2["Tipo"] == 'double'):199 tx = self.tx200 self.filaSemantica.append({'Classe': "T{}".format(tx), 'Token': "boolean", 'Tipo': "boolean", 'Linha': OPRD1["Linha"], 'Coluna': OPRD1["Coluna"]})201 self.armazenarEscritaDoCodigo += ("{}T{} = {} {} {};\n".format("\t",tx, OPRD1["Classe"], opr["Tipo"], OPRD2["Classe"]))202 self.tx += 1203 else:204 print("Erro: Operandos com tipos incompatÃveis na linha {} e coluna {}".format(opr['Linha'], opr['Coluna']))205 self.analisadorDeErro = 1206 else:207 print("Erro: Variável não declarada na linha {} e coluna {}".format(opr["Linha"], opr["Coluna"]))208 self.analisadorDeErro = 1209 elif indiceDaProducoes == 33:210 print("R -> facaAte (EXP_R) CP_R ")211 self.filaSemantica.pop()212 self.filaSemantica.pop()213 EXP_R = self.filaSemantica.pop()214 self.filaSemantica.pop()215 self.filaSemantica.pop()216 self.armazenarEscritaDoCodigo += ("{}while ( {} )\n ".format("\t", EXP_R["Classe"]) + "\t{\n")217 self.armazenarEscritaDoCodigo += (self.armazenarLoop)218 self.filaSemantica.append({'Classe': "R", 'Token': "", 'Tipo': "", 'Linha': EXP_R["Linha"], 'Coluna': EXP_R["Coluna"]})219 elif indiceDaProducoes == 34:220 print("CP_R -> ES CP_R ")221 self.filaSemantica.pop()222 CP_R = self.filaSemantica.pop()223 self.filaSemantica.append({'Classe': "CP_R", 'Token': "", 'Tipo': "", 'Linha': CP_R["Linha"], 'Coluna': CP_R["Coluna"]})224 elif indiceDaProducoes == 35:225 print("CP_R -> CMD CP_R ")226 self.filaSemantica.pop()227 CP_R = self.filaSemantica.pop()228 self.filaSemantica.append({'Classe': "CP_R", 'Token': "", 'Tipo': "", 'Linha': CP_R["Linha"], 'Coluna': CP_R["Coluna"]})229 elif indiceDaProducoes == 36:230 print("CP_R -> COND CP_R ")231 self.filaSemantica.pop()232 CP_R = self.filaSemantica.pop()233 self.filaSemantica.append({'Classe': "CP_R", 'Token': "", 'Tipo': "", 'Linha': CP_R["Linha"], 'Coluna': CP_R["Coluna"]})234 elif indiceDaProducoes == 37:235 print("CP_R -> fimFaca ")236 CP_R = self.filaSemantica.pop()237 self.filaSemantica.append(CP_R)
...
coverage_report_builder.py
Source:coverage_report_builder.py
1'''2Created on Mar 27, 20203@author: ballance4'''5from ucis.scope_type_t import ScopeTypeT6from ucis.report.coverage_report import CoverageReport7from ucis.coverpoint import Coverpoint8from ucis.cover_type_t import CoverTypeT9from math import ceil10from ucis.cross import Cross11class CoverageReportBuilder(object):12 """13 Builds a coverage-report object from a UCIS database14 """15 16 def __init__(self, db):17 self.db = db18 self.report = CoverageReport()19 20 @staticmethod21 def build(db : 'UCIS') ->'CoverageReport':22 """23 Builds a CoverageReport object from a UCIS database24 """25 26 builder = CoverageReportBuilder(db)27 return builder._build()28 29 def _build(self)->'CoverageReport':30 31 for iscope in self.db.scopes(ScopeTypeT.INSTANCE):32 self.build_covergroups(iscope)33 34 return self.report35 36 def build_covergroups(self, iscope):37 38 coverage = 0.039 div = 040 41 for cg_t in iscope.scopes(ScopeTypeT.COVERGROUP):42 cg = self.build_covergroup(cg_t)43 if cg.weight > 0:44 coverage += cg.coverage * cg.weight45 div += cg.weight46 self.report.covergroups.append(cg)47 self.report.covergroup_m[cg.instname] = cg48 self.report.coverage = coverage/div49 50 def build_covergroup(self, cg_n)->CoverageReport.Covergroup:51 cg_r = CoverageReport.Covergroup(52 cg_n.getScopeName(),53 cg_n.getScopeName())54 55 cg_r.weight = cg_n.getWeight()56 57 for cp_in in cg_n.scopes(ScopeTypeT.COVERPOINT):58 cg_r.coverpoints.append(self.build_coverpoint(cp_in))59 60 for cr_in in cg_n.scopes(ScopeTypeT.CROSS):61 cg_r.crosses.append(self.build_cross(cr_in))62 for cg_in in cg_n.scopes(ScopeTypeT.COVERINSTANCE):63 cg_r.covergroups.append(self.build_covergroup(cg_in))64 65 # Determine the covergroup coverage66 coverage = 0.067 div = 068 for cp in cg_r.coverpoints:69 if cp.weight > 0:70 coverage += cp.coverage * cp.weight71 div += cp.weight72 73 for cr in cg_r.crosses:74 coverage += cr.coverage * cr.weight75 div += cr.weight76 77 if div > 0: coverage /= div78 cg_r.coverage = coverage79 80 return cg_r81 def build_coverpoint(self, cp_n : Coverpoint):82 cp_r = CoverageReport.Coverpoint(cp_n.getScopeName())83 cp_r.weight = cp_n.getWeight()84 85 # Read in bins86 num_hit = 087 total = 088 for ci_n in cp_n.coverItems(CoverTypeT.CVGBIN):89 cvg_data = ci_n.getCoverData()90 91 if cvg_data.data >= cvg_data.at_least:92 num_hit += 193 94 cp_r.bins.append(CoverageReport.CoverBin(95 ci_n.getName(),96 cvg_data.at_least,97 cvg_data.data))98 total += 199 100 for ci_n in cp_n.coverItems(CoverTypeT.IGNOREBIN):101 cvg_data = ci_n.getCoverData()102 103 cp_r.ignore_bins.append(CoverageReport.CoverBin(104 ci_n.getName(),105 cvg_data.at_least,106 cvg_data.data))107 108 for ci_n in cp_n.coverItems(CoverTypeT.ILLEGALBIN):109 cvg_data = ci_n.getCoverData()110 111 cp_r.illegal_bins.append(CoverageReport.CoverBin(112 ci_n.getName(),113 cvg_data.at_least,114 cvg_data.data))115 if total > 0:116 cp_r.coverage = (100*num_hit)/total117 else:118 cp_r.coverage = 0119 120 return cp_r121 122 def build_cross(self, cr_n : Cross):123 cr_r = CoverageReport.Cross(cr_n.getScopeName())124 125 # Read in bins126 num_hit = 0127 total = 0128 for ci_n in cr_n.coverItems(CoverTypeT.CVGBIN):129 cvg_data = ci_n.getCoverData()130 if cvg_data.data >= cvg_data.at_least:131 num_hit += 1132 133 cr_r.bins.append(CoverageReport.CoverBin(134 ci_n.getName(),135 cvg_data.goal,136 cvg_data.data))137 total += 1138 if total > 0: cr_r.coverage = (100*num_hit)/total139 140 return cr_r 141 142 143 ...
spline.py
Source:spline.py
1# -*- coding: utf-8 -*-2# <nbformat>3.0</nbformat>3# <codecell>4import numpy as np5def spline(cp_mu,cp_R):6 7 N = [4, 6, 10, 18, 34]8 mu_d = []9 R_d = []10 # Interpolation for mu11 # Double the vector12 for j in range(0, len(N)):13 for ele in cp_mu:14 mu_d.append(ele)15 mu_d.append(ele)16 mu_d_av = np.array(mu_d)17 # First Average18 for i in range(1,len(mu_d)):19 mu_d_av[i] = (mu_d[i]+mu_d[i-1])/220 mu_d_av2 = np.array(mu_d_av)21 # Second Average22 for i in range(1,len(mu_d_av)):23 mu_d_av2[i] = (mu_d_av[i]+mu_d_av[i-1])/224 cp_mu = mu_d_av2[-N[j]:]25 mu_d = []26 27 # Interpolation for R28 for ele in cp_R:29 R_d.append(ele)30 R_d.append(ele)31 R_d_av = np.array(R_d)32 # First Average33 for i in range(1,len(R_d)):34 R_d_av[i] = (R_d[i]+R_d[i-1])/235 R_d_av2 = np.array(R_d_av)36 # Second Average37 for i in range(1,len(R_d_av)):38 R_d_av2[i] = (R_d_av[i]+R_d_av[i-1])/239 cp_R = R_d_av2[-N[j]:]40 R_d = []41 mu = np.exp(cp_mu)42 R = np.exp(cp_R)...
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