home = vs.get_home()
#%% LOAD VACUUM DATA
vacuum_path = os.path.join(home, vacuum_folder)
vacuum_file = lambda f, s: os.path.join(vacuum_path, f, s)
vacuum_series = os.listdir(vacuum_path)
vacuum_series = vu.filter_by_string_must(vacuum_series, "SC")
vacuum_series = vu.sort_by_number(vacuum_series, 0)
vacuum_data = []
vacuum_params = []
for s in vacuum_series:
vacuum_data.append(np.loadtxt(vacuum_file(s, "Results.txt")))
vacuum_params.append(vs.retrieve_footer(vacuum_file(s, "Results.txt")))
vacuum_header = vs.retrieve_header(vacuum_file(s, "Results.txt"))
vacuum_params = [vu.fix_params_dict(p) for p in vacuum_params]
#%% LOAD WATER DATA
water_path = os.path.join(home, water_folder)
water_file = lambda f, s: os.path.join(water_path, f, s)
water_series = os.listdir(water_path)
water_series = vu.filter_by_string_must(water_series, "AllWater")
water_series = vu.sort_by_number(water_series, 0)
water_data = []
water_params = []
series_mustnt):
path.append(os.path.join(home, f))
file.append(lambda f, s: os.path.join(path[-1], f, s))
series.append(os.listdir(path[-1]))
series[-1] = vu.filter_to_only_directories(series[-1])
series[-1] = vu.filter_by_string_must(series[-1], sm)
if smn != "": series[-1] = vu.filter_by_string_must(series[-1], smn, False)
series[-1] = sf(series[-1])
data.append([])
params.append([])
for s in series[-1]:
data[-1].append(np.loadtxt(file[-1](s, "Results.txt")))
params[-1].append(vs.retrieve_footer(file[-1](s, "Results.txt")))
header.append(vs.retrieve_header(file[-1](s, "Results.txt")))
for i in range(len(params[-1])):
if not isinstance(params[-1][i], dict):
params[-1][i] = vu.fix_params_dict(params[-1][i])
r = []
from_um_factor = []
resolution = []
paper = []
index = []
for p in params:
r.append([pi["r"] for pi in p])
from_um_factor.append([pi["from_um_factor"] for pi in p])
resolution.append([pi["resolution"] for pi in p])
folder = "AuMieSphere/AuMie/8)TestParNP/2nd"
home = vs.get_home()
nprocesses = np.arange(8) + 1
#%% LOAD DATA
path = os.path.join(home, folder)
file = lambda f, s: os.path.join(path, f, s)
series = os.listdir(path)
series.sort()
params = []
for s in series:
params.append(vs.retrieve_footer(file(s, "Results.txt")))
params = [vu.fix_params_dict(p) for p in params]
enlapsed = [p["enlapsed"] for p in params]
total = np.array([sum(e) for e in enlapsed])
enlapsed = np.array(enlapsed)
#%% PLOT
plt.figure()
# plt.plot(nprocesses, total_0, 'ro-', label="Serie 1")
plt.plot(nprocesses, total, 'bo-', label="Serie 2")
plt.xlabel("Número de subprocesos")
plt.ylabel("Tiempo total (s)")
plt.legend(["Serie 1", "Serie 2"])
"""
import v_meep as vm
import v_save as vs
import numpy as np
import os
sysname = vs.get_sys_name()
syshome = vs.get_sys_home()
home = vs.get_home()
#%%
flux_file = os.path.join(home, "FluxData/FluxDataDirectory.txt")
flux_dir = vs.retrieve_footer(flux_file)
#%%
data_files = flux_dir["path"]
found_files = []
found_params = []
for df in data_files:
try:
found_params.append(vs.retrieve_footer(os.path.join(df,
"Results.txt")))
found_files.append(df)
except:
print("No file found at ", df)
print(f"Only found {100*len(found_files)/len(data_files):.2f}% of the files")
#%% PARAMETERS
# Saving directories
series = ["2020111101", "2020111103"]
folder = "AuMieResults"
home = "/home/vall/Documents/Thesis/ThesisPython/"
#%% LOAD DATA
file = lambda f, s: os.path.join(home, folder, "{}Results".format(s), f)
data = []
params = []
for s in series:
data.append(np.loadtxt(file("MidFlux.txt", s)))
params.append(vs.retrieve_footer(file("MidFlux.txt", s)))
header = vs.retrieve_header(file("MidFlux.txt", s))
r = [p["r"] for p in params]
resolution = [p["resolution"] for p in params]
from_um_factor = [p["from_um_factor"] for p in params]
until_after_sources = [p["until_after_sources"] for p in params]
#%% PLOT
new_series = ["F8"] #["", "F1", "F2"]
def proposed_factor(series, r, resolution, from_um_factor,
until_after_sources):
if series == "":
series = [
"2020102601", "2020102708", "2020102709",
*["202010271" + str(i) for i in range(3)]
]
folder = "MieResults"
home = "/home/vall/Documents/Thesis/ThesisPython/MeepTutorial/"
#%%
params = []
for s in series:
path = os.path.join(home, folder, "{}Results".format(s))
file = lambda f: os.path.join(path, f)
p = vs.retrieve_footer(file("MidFlux.txt"))
f = h5.File(file("MidField.h5"), "r+")
for a in p.keys():
f["Ez"].attrs[a] = p[a]
f.close()
params.append(p)
#%%
resolution = [p["resolution"] for p in params]
pml_width = [p["pml_width"] for p in params]
air_width = [p["air_width"] for p in params]
cutoff = [p["cutoff"] for p in params]
until_after_sources = [p["until_after_sources"] for p in params]
