def create_subsection_figures(props, dim_rows, dim_cols, exp_prefix):
if len(props) == 0:
print("No props: plots were not generated.")
return
section = reporting.Section("Figures", [])
getter_mse = lambda p: float(p["result.best.trainMSE"])
predicate = lambda v, v_xaxis: v <= v_xaxis
N = 50 # number of points per plot line
r = (0.0, 1e0)
xs = np.linspace(r[0], r[1], N)
xticks = np.arange(r[0], r[1], r[1] / 10)
savepath = "results/figures/ratioMSE.pdf"
plotter.plot_ratio_meeting_predicate(props, getter_mse, predicate, xs=xs, xticks=xticks,
show_plot=False,
title="Ratio of solutions with MSE under the certain level",
xlabel="MSE",
series_dim=dim_method,
xlogscale=False,
savepath=savepath)
section.add(reporting.FloatFigure(savepath.replace("results/", "")))
# Illustration of individual runs and their errors on training and validation sets
savepath = "results/figures/progressionGrid.pdf"
dim_rows = get_benchmarks_from_props(props, ignoreNumTests=True)
dim_cols = (dim_methodGP * dim_all + dim_methodCDGP * dim_all + dim_methodCDGPprops * dim_weight) * \
dim_benchmarkNumTests # * dim_optThreshold
plotter.plot_value_progression_grid_simple(props, dim_rows, dim_cols, ["cdgp.logTrainSet", "cdgp.logValidSet"], ["train", "valid"],
plot_individual_runs=True,
savepath=savepath)
section.add(reporting.FloatFigure(savepath.replace("results/", "")))
return section
def create_section(title, desc, props, subsects, figures_list, exp_prefix):
assert isinstance(title, str)
assert isinstance(desc, str)
assert isinstance(props, list)
assert isinstance(figures_list, list)
section = reporting.Section(title, [])
section.add(reporting.BlockLatex(desc + "\n"))
for s in subsects:
section.add(s)
# Create figures in the appropriate directory
for f in figures_list:
section.add(reporting.FloatFigure(f))
section.add(reporting.BlockLatex(r"\vspace{1cm}" + "\n"))
return section
def create_section_with_results(title, desc, folders, numRuns=10, use_bench_simple_names=True, print_status_matrix=True):
assert isinstance(title, str)
assert isinstance(desc, str)
assert isinstance(folders, list)
print("\n*** Processing: {0}***".format(title))
for f in folders:
print(f)
if folders is None or len(folders) == 0:
return None
props = load_correct_props(folders, name=title)
# Create figures in the appropriate directory
plot_figures(props)
# Uncomment this to print names of files with results of a certain configuration
# print("\n(** {0} **) props_meeting the property:".format(title[:15]))
# for p in props:
# if float(p["cdgp.solverTimeMaxSec"]) >= 2.0:
# print(p["thisFileName"] + ", " + p["cdgp.solverTimeMaxSec"])
def post(s):
return s.replace("{ccccccccccccc}", "{rrrrrrrrrrrrr}").replace("{rrr", "{lrr").replace(r"\_{lex}", "_{lex}").replace(r"\_{", "_{")
dim_benchmarks = Dim.from_dict(props, "benchmark")
if print_status_matrix:
d = dim_benchmarks * dim_methodCDGP * dim_testsRatio * dim_sa + \
dim_benchmarks * dim_methodGPR * dim_testsRatioGPR * dim_sa
matrix = produce_status_matrix(d, props)
print("\n****** Status matrix:")
print(matrix + "\n")
if use_bench_simple_names:
configs = [Config(benchmarks_simple_names.get(c.get_caption(), c.get_caption()), c.filters[0][1]) for c in dim_benchmarks.configs]
dim_benchmarks = Dim(configs)
dim_benchmarks.sort()
# --------------------- Shared stats ---------------------
# -------------- Dimensions -----------------
dim_cols = dim_methodCDGP * dim_ea_type * dim_sel * dim_testsRatio +\
dim_methodGPR * dim_ea_type * dim_sel * dim_testsRatioGPR + \
dim_methodFormal
dim_rows = dim_benchmarks.sort() + dim_true
# dim_cols = dim_method * dim_sa
# -------------------------------------------
vb = 1 # vertical border
print("STATUS")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_num_computed, layered_headline=True, vertical_border=vb))
latex_status = printer.table_color_map(text, 0.0, numRuns/2, numRuns, "colorLow", "colorMedium", "colorHigh")
print("SUCCESS RATES")
text = post(printer.latex_table(props, dim_rows, dim_cols, fun_successRates, layered_headline=True, vertical_border=vb))
latex_successRates = printer.table_color_map(text, 0.0, 0.5, 1.0, "colorLow", "colorMedium", "colorHigh")
print("AVG RUNTIME")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_avg_runtime, layered_headline=True, vertical_border=vb))
latex_avgRuntime = printer.table_color_map(text, 0.0, 1800.0, 3600.0, "colorLow", "colorMedium", "colorHigh")
print("AVG RUNTIME (SUCCESSFUL)")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_avg_runtimeOnlySuccessful, layered_headline=True, vertical_border=vb))
latex_avgRuntimeOnlySuccessful = printer.table_color_map(text, 0.0, 1800.0, 3600.0, "colorLow", "colorMedium", "colorHigh")
# print("SUCCESS RATES (FULL INFO)")
# text = post(printer.latex_table(props, dim_rows, dim_cols, fun_successRates_full, layered_headline=True, vertical_border=vb))
# print("AVG SIZES")
# text = post(printer.latex_table(props, dim_rows, dim_cols, get_stats_size, layered_headline=True, vertical_border=vb))
# latex_sizes = printer.table_color_map(text, 0.0, 100.0, 200.0, "colorLow", "colorMedium", "colorHigh")
print("AVG SIZES (SUCCESSFUL)")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_stats_sizeOnlySuccessful, layered_headline=True, vertical_border=vb))
latex_sizesOnlySuccessful = printer.table_color_map(text, 0.0, 100.0, 200.0, "colorLow", "colorMedium", "colorHigh")
# --------------------- CDGP stats ---------------------
# -------------- Dimensions -----------------
dim_cols = dim_methodCDGP * dim_ea_type * dim_sel * dim_testsRatio + \
dim_methodGPR * dim_ea_type * dim_sel * dim_testsRatioGPR
# -------------------------------------------
print("AVG BEST-OF-RUN FITNESS")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_avg_fitness, layered_headline=True, vertical_border=vb))
latex_avgBestOfRunFitness = printer.table_color_map(text, 0.0, 0.5, 1.0, "colorLow", "colorMedium", "colorHigh")
print("AVG TOTAL TESTS")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_avg_totalTests, layered_headline=True, vertical_border=vb))
latex_avgTotalTests = printer.table_color_map(text, 0.0, 1000.0, 2000.0, "colorLow", "colorMedium", "colorHigh")
print("AVG RUNTIME PER PROGRAM")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_avg_runtimePerProgram, layered_headline=True, vertical_border=vb))
latex_avgRuntimePerProgram = printer.table_color_map(text, 0.01, 1.0, 2.0, "colorLow", "colorMedium", "colorHigh")
print("AVG GENERATION")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_avg_generation, layered_headline=True, vertical_border=vb))
latex_avgGeneration = printer.table_color_map(text, 0.0, 50.0, 100.0, "colorLow", "colorMedium", "colorHigh")
print("AVG GENERATION (SUCCESSFUL)")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_avg_generationSuccessful, layered_headline=True, vertical_border=vb))
latex_avgGenerationSuccessful = printer.table_color_map(text, 0.0, 50.0, 100.0, "colorLow", "colorMedium", "colorHigh")
print("MAX SOLVER TIME")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_stats_maxSolverTime, layered_headline=True, vertical_border=vb))
latex_maxSolverTimes = printer.table_color_map(text, 0.0, 0.5, 1.0, "colorLow", "colorMedium", "colorHigh")
print("AVG SOLVER TIME")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_stats_avgSolverTime, layered_headline=True, vertical_border=vb))
latex_avgSolverTimes = printer.table_color_map(text, 0.0, 0.015, 0.03, "colorLow", "colorMedium", "colorHigh")
print("AVG NUM SOLVER CALLS")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_avgSolverTotalCalls, layered_headline=True, vertical_border=vb))
latex_avgSolverTotalCalls = printer.table_color_map(text, 1e1, 1e2, 1e4, "colorLow", "colorMedium", "colorHigh")
print("NUM SOLVER CALLS > 0.5s")
text = post(printer.latex_table(props, dim_rows, dim_cols, get_numSolverCallsOverXs, layered_headline=True, vertical_border=vb))
latex_numSolverCallsOverXs = printer.table_color_map(text, 0, 50, 100, "colorLow", "colorMedium", "colorHigh")
subsects_main = [
("Status (correctly finished processes)", latex_status, reversed(reporting.color_scheme_red)),
("Success rates", latex_successRates, reporting.color_scheme_green),
("Average runtime [s]", latex_avgRuntime, reporting.color_scheme_violet),
("Average runtime (only successful) [s]", latex_avgRuntimeOnlySuccessful, reporting.color_scheme_violet),
#("Average sizes of best of runs (number of nodes)", latex_sizes, reporting.color_scheme_yellow),
("Average sizes of best of runs (number of nodes) (only successful)", latex_sizesOnlySuccessful, reporting.color_scheme_yellow),
]
subsects_cdgp = [
("Average best-of-run ratio of passed tests", latex_avgBestOfRunFitness, reporting.color_scheme_green),
("Average sizes of $T_C$ (total tests in run)", latex_avgTotalTests, reporting.color_scheme_blue),
("Average generation (all)", latex_avgGeneration, reporting.color_scheme_teal),
("Average generation (only successful)", latex_avgGenerationSuccessful, reporting.color_scheme_teal),
("Approximate average runtime per program [s]", latex_avgRuntimePerProgram, reporting.color_scheme_brown),
("Max solver time per query [s]", latex_maxSolverTimes, reporting.color_scheme_violet),
("Avg solver time per query [s]", latex_avgSolverTimes, reporting.color_scheme_brown),
("Avg number of solver calls (in thousands; 1=1000)", latex_avgSolverTotalCalls, reporting.color_scheme_blue),
("Number of solver calls $>$ 0.5s", latex_numSolverCallsOverXs, reporting.color_scheme_blue),
]
figures_cdgp = [
"figures/ratioEvaluated_correctVsAllRuns.pdf",
"figures/ratioTime_correctVsAllCorrect.pdf",
"figures/ratioTime_endedVsAllEnded.pdf",
]
def get_content_of_subsections(subsects):
content = []
vspace = reporting.BlockLatex(r"\vspace{0.75cm}"+"\n")
for title, table, cs in subsects:
if isinstance(cs, reporting.ColorScheme3):
cs = cs.toBlockLatex()
sub = reporting.SectionRelative(title, contents=[cs, reporting.BlockLatex(table + "\n"), vspace])
content.append(sub)
return content
section = reporting.Section(title, [])
section.add(reporting.BlockLatex(desc + "\n"))
section.add(reporting.Subsection("Shared Statistics", get_content_of_subsections(subsects_main)))
section.add(reporting.Subsection("CDGP Statistics", get_content_of_subsections(subsects_cdgp)))
for f in figures_cdgp:
section.add(reporting.FloatFigure(f))
section.add(reporting.BlockLatex(r"\vspace{1cm}" + "\n"))
return section
