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output.py
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# -*- coding: utf-8 -*-
# Created on Thu Jan 2 10:36:38 2020
# @author: Davide Laghi
# Copyright 2021, the JADE Development Team. All rights reserved.
# This file is part of JADE.
# JADE is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# JADE is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with JADE. If not, see <http://www.gnu.org/licenses/>.
from __future__ import annotations
import abc
import os
import pickle
import shutil
import string
import sys
from typing import TYPE_CHECKING
import numpy as np
# import xlwings as xw
import pandas as pd
from tqdm import tqdm
import jade.atlas as at
import jade.excelsupport as exsupp
import jade.MCTAL_READER2 as mtal
import jade.plotter as plotter
from jade.configuration import Configuration
from jade.meshtal import Meshtal
from jade.outputFile import OutputFile
if TYPE_CHECKING:
from jade.main import Session
# RED color
CRED = "\033[91m"
CEND = "\033[0m"
class AbstractOutput(abc.ABC):
@abc.abstractmethod
def single_postprocess(self):
"""
To be executed when a single pp is requested
"""
pass
@abc.abstractmethod
def compare(self):
"""
To be executed when a comparison is requested
"""
@staticmethod
def _get_output_files(results_path):
"""
Recover the meshtal and outp file from a directory
Parameters
----------
results_path : str or path
path where the MCNP results are contained.
Raises
------
FileNotFoundError
if either meshtal or outp are not found.
Returns
-------
mfile : path
path to the meshtal file
ofile : path
path to the outp file
"""
# Get mfile
mfile = None
ofile = None
for file in os.listdir(results_path):
if file[-1] == "m":
mfile = file
elif file[-1] == "o":
ofile = file
if mfile is None or ofile is None:
raise FileNotFoundError(
"""
The followig path does not contain either the .m or .o file:
{}""".format(
results_path
)
)
mfile = os.path.join(results_path, mfile)
ofile = os.path.join(results_path, ofile)
return mfile, ofile
class BenchmarkOutput(AbstractOutput):
def __init__(self, lib, code, testname: str, session: Session):
"""
General class for a Benchmark output
Parameters
----------
lib : str
library to post-process
code : str
code being post processed
testname : str
name of the benchmark being postprocessed
session : Session
Jade Session
Returns
-------
None.
"""
self.raw_data = {} # Raw data
self.outputs = {} # outputs linked to the benchmark
self.testname = testname # test name
self.code_path = os.getcwd() # path to code
self.state = session.state
self.session = session
self.path_templates = session.path_templates
# Read specific configuration
cnf_path = os.path.join(session.path_cnf, self.testname + ".xlsx")
if os.path.isfile(cnf_path):
self.cnf_path = cnf_path
# It can be assumed that there is a folder containing multiple files
else:
self.cnf_path = os.path.join(session.path_cnf, self.testname)
# Updated to handle multiple codes
if code == "mcnp":
self.mcnp = True
self.raw_data["mcnp"] = {}
self.outputs["mcnp"] = {}
else:
self.mcnp = False
if code == "serpent":
self.serpent = True
self.raw_data["serpent"] = {}
self.outputs["serpent"] = {}
else:
self.serpent = False
if code == "openmc":
self.openmc = True
self.raw_data["openmc"] = {}
self.outputs["openmc"] = {}
else:
self.openmc = False
if code == "d1s":
self.d1s = True
self.raw_data["d1s"] = {}
self.outputs["d1s"] = {}
else:
self.d1s = False
# COMPARISON
if isinstance(lib, list) and len(lib) > 1:
self.single = False # Indicator for single or comparison
self.lib = lib
couples = []
tp = os.path.join(session.path_run, lib[0], self.testname)
self.test_path = {lib[0]: tp}
refname = session.conf.get_lib_name(lib[0])
name = refname
dirname = lib[0]
for library in lib[1:]:
libname = session.conf.get_lib_name(library)
# name_couple = lib[0]+'_Vs_'+library
name_couple = lib[0] + "_Vs_" + library
name = name + "_Vs_" + libname
dirname = dirname + "_Vs_" + library
couples.append((lib[0], library, name_couple))
tp = os.path.join(session.path_run, library, self.testname)
self.test_path[library] = tp
self.name = name
# Generate library output path
out = os.path.join(session.path_comparison, dirname)
if not os.path.exists(out):
os.mkdir(out)
out = os.path.join(out, self.testname, code)
if os.path.exists(out):
shutil.rmtree(out)
os.makedirs(out)
excel_path = os.path.join(out, "Excel")
atlas_path = os.path.join(out, "Atlas")
raw_path = os.path.join(out, "Raw_Data")
os.makedirs(excel_path)
os.makedirs(atlas_path)
os.makedirs(raw_path)
self.excel_path = excel_path
self.raw_path = raw_path
self.atlas_path = atlas_path
self.couples = couples # Couples of libraries to post process
# SINGLE-LIBRARY
else:
self.single = True # Indicator for single or comparison
if isinstance(lib, list) and len(lib) == 1:
self.lib = lib[0] # In case of 1-item list
else:
self.lib = lib
self.test_path = os.path.join(session.path_run, lib, self.testname)
# Generate library output path
out = os.path.join(session.path_single, lib)
if not os.path.exists(out):
os.mkdir(out)
out = os.path.join(out, self.testname, code)
if os.path.exists(out):
shutil.rmtree(out)
os.makedirs(out)
excel_path = os.path.join(out, "Excel")
atlas_path = os.path.join(out, "Atlas")
raw_path = os.path.join(out, "Raw_Data")
os.makedirs(excel_path)
os.makedirs(atlas_path)
os.makedirs(raw_path)
self.excel_path = excel_path
self.raw_path = raw_path
self.atlas_path = atlas_path
def single_postprocess(self):
"""
Execute the full post-processing of a single library (i.e. excel,
raw data and atlas)
Returns
-------
None.
"""
print(" Generating Excel Recap...")
self._generate_single_excel_output()
self._print_raw()
print(" Creating Atlas...")
if self.mcnp:
outpath = os.path.join(self.atlas_path, "tmp")
os.mkdir(outpath)
# Get atlas configuration
atl_cnf = pd.read_excel(self.cnf_path, sheet_name="Atlas")
atl_cnf.set_index("Tally", inplace=True)
# Printing Atlas
template = template = os.path.join(self.path_templates, "AtlasTemplate.docx")
atlas = at.Atlas(template, self.testname + "_" + self.lib)
# Iterate over each type of plot (first one is quantity
# and second one the measure unit)
for plot_type in list(atl_cnf.columns)[2:]:
print(" Plotting : " + plot_type)
atlas.doc.add_heading("Plot type: " + plot_type, level=1)
# Keep only tallies to plot
atl_cnf_plot = atl_cnf[atl_cnf[plot_type]]
for tally_num in tqdm(atl_cnf_plot.index, desc="Tallies"):
try:
if self.mcnp:
output = self.outputs["mcnp"][tally_num]
except KeyError:
fatal_exception(
"tally n. "
+ str(tally_num)
+ " is in config but not in the MCNP output"
)
vals_df = output["Value"]
err_df = output["Error"]
quantity = str(atl_cnf_plot["Quantity"].loc[tally_num])
unit = str(atl_cnf_plot["Unit"].loc[tally_num])
xlabel = output["x_label"]
title = output["title"]
atlas.doc.add_heading("Tally: " + title, level=2)
columns = vals_df.columns
x = np.array(vals_df.index)
for column in tqdm(columns):
if len(columns) > 1:
try:
txt = str(int(column))
except ValueError:
# it is not convertible to int
txt = str(column)
atlas.doc.add_heading(txt, level=3)
newtitle = title + " (" + txt + ")"
else:
newtitle = title
# If total is present it has to be deleted
try:
vals_df.drop(["total"], inplace=True)
err_df.drop(["total"], inplace=True)
x = x[:-1]
except KeyError:
pass
try:
values = vals_df[column].values
error = err_df[column].values
except KeyError:
# this means that the column is only one and we have
# two distinct DFs for values and errors
values = vals_df["Value"]
error = err_df["Error"]
lib_name = self.session.conf.get_lib_name(self.lib)
lib = {"x": x, "y": values, "err": error, "ylabel": lib_name}
data = [lib]
outname = "tmp"
plot = plotter.Plotter(
data,
newtitle,
outpath,
outname,
quantity,
unit,
xlabel,
self.testname,
)
img_path = plot.plot(plot_type)
atlas.insert_img(img_path)
if self.mcnp:
atlas.save(self.atlas_path)
# Remove tmp images
shutil.rmtree(outpath)
def compare(self):
"""
Generates the full comparison post-processing (excel and atlas)
Returns
-------
None.
"""
print(" Generating Excel Recap...")
self._generate_comparison_excel_output()
print(" Creating Atlas...")
if self.mcnp:
outpath = os.path.join(self.atlas_path, "tmp")
os.mkdir(outpath)
# Get atlas configuration
atl_cnf = pd.read_excel(self.cnf_path, sheet_name="Atlas")
atl_cnf.set_index("Tally", inplace=True)
# Printing Atlas
template = os.path.join(self.path_templates, "AtlasTemplate.docx")
atlas = at.Atlas(template, self.testname + "_" + self.name)
# Recover data
outputs_dic = {}
for lib in self.lib:
# Recover lib output
if self.mcnp:
out_path = os.path.join(
self.session.path_single,
lib,
self.testname,
"mcnp",
"Raw_Data",
lib + ".pickle",
)
with open(out_path, "rb") as handle:
outputs = pickle.load(handle)
outputs_dic[lib] = outputs
# Iterate over each type of plot (first one is quantity
# and second one the measure unit)
for plot_type in list(atl_cnf.columns)[2:]:
print(" Plotting : " + plot_type)
atlas.doc.add_heading("Plot type: " + plot_type, level=1)
# Keep only tallies to plot
atl_cnf_plot = atl_cnf[atl_cnf[plot_type]]
for tally_num in tqdm(atl_cnf_plot.index, desc="Tallies"):
# The last 'outputs' can be easily used for common data
try:
if self.mcnp:
output = self.outputs["mcnp"][tally_num]
except KeyError:
fatal_exception(
"tally n. "
+ str(tally_num)
+ " is in config but not in the MCNP output"
)
vals_df = output["Value"]
err_df = output["Error"]
quantity = str(atl_cnf_plot["Quantity"].loc[tally_num])
unit = str(atl_cnf_plot["Unit"].loc[tally_num])
xlabel = output["x_label"]
title = output["title"]
atlas.doc.add_heading("Tally: " + title, level=2)
columns = vals_df.columns
for column in tqdm(columns):
if len(columns) > 1:
try:
txt = str(int(column))
except ValueError:
# it is not convertible to int
txt = str(column)
atlas.doc.add_heading(txt, level=3)
newtitle = title + " (" + txt + ")"
else:
newtitle = title
data = []
for lib in self.lib:
output = outputs_dic[lib][tally_num]
# override values and errors
try:
vals_df = output["Value"]
err_df = output["Error"]
# If total is present it has to be deleted
try:
vals_df.drop(["total"], inplace=True)
err_df.drop(["total"], inplace=True)
except KeyError:
pass
values = vals_df[column].values
error = err_df[column].values
except KeyError:
# this means that the column is only one and we
# havetwo distinct DFs for values and errors
values = vals_df["Value"].values
error = err_df["Error"].values
x = np.array(vals_df.index)
lib_name = self.session.conf.get_lib_name(lib)
lib_data = {
"x": x,
"y": values,
"err": error,
"ylabel": lib_name,
}
data.append(lib_data)
outname = "tmp"
plot = plotter.Plotter(
data,
newtitle,
outpath,
outname,
quantity,
unit,
xlabel,
self.testname,
)
img_path = plot.plot(plot_type)
atlas.insert_img(img_path)
if self.mcnp:
atlas.save(self.atlas_path)
# Remove tmp images
shutil.rmtree(outpath)
@staticmethod
def _reorder_df(df, x_set):
# First of all try order by number
df["index"] = pd.to_numeric(df[x_set], errors="coerce")
# If they are all nan try with a normal sort
if df["index"].isnull().values.all():
df.sort_values(x_set, inplace=True)
# Otherwise keep on with the number sorting
else:
df.sort_values("index", inplace=True)
del df["index"]
# Try to reorder the columns
try:
df = df.reindex(sorted(df.columns), axis=1)
except TypeError:
# They are a mix of strings and ints, let's ignore it for
# the time being
pass
return df
def _generate_single_excel_output(self):
# Get excel configuration
self.outputs = {}
self.results = {}
self.errors = {}
self.stat_checks = {}
ex_cnf = pd.read_excel(self.cnf_path, sheet_name="Excel")
ex_cnf.set_index("Tally", inplace=True)
# Open the excel file
# name = "Generic_single.xlsx"
# template = os.path.join(os.getcwd(), "templates", name)
if self.mcnp:
outpath = os.path.join(
self.excel_path, self.testname + "_" + self.lib + ".xlsx"
)
outputs = {}
# ex = ExcelOutputSheet(template, outpath)
# Get results
# results = []
# errors = []
results_path = os.path.join(self.test_path, "mcnp")
# Get mfile and outfile and possibly meshtal file
meshtalfile = None
for file in os.listdir(results_path):
if file[-1] == "m":
mfile = os.path.join(results_path, file)
elif file[-1] == "o":
ofile = os.path.join(results_path, file)
elif file[-4:] == "msht":
meshtalfile = os.path.join(results_path, file)
# Parse output
mcnp_output = MCNPoutput(mfile, ofile, meshtal_file=meshtalfile)
mctal = mcnp_output.mctal
# Adjourn raw Data
self.raw_data = mcnp_output.tallydata
# res, err = output.get_single_excel_data()
for label in ["Value", "Error"]:
# keys = {}
for tally in mctal.tallies:
num = tally.tallyNumber
key = tally.tallyComment[0]
# keys[num] = key # Memorize tally descriptions
tdata = mcnp_output.tallydata[num].copy() # Full tally data
try:
tally_settings = ex_cnf.loc[num]
except KeyError:
print(
" Warning!: tally n."
+ str(num)
+ " is not in configuration"
)
continue
# Re-Elaborate tdata Dataframe
x_name = tally_settings["x"]
x_tag = tally_settings["x name"]
y_name = tally_settings["y"]
y_tag = tally_settings["y name"]
ylim = tally_settings["cut Y"]
if label == "Value":
outputs[num] = {"title": key, "x_label": x_tag}
# select the index format
if x_name == "Energy":
idx_format = "0.00E+00"
# TODO all possible cases should be addressed
else:
idx_format = "0"
if y_name != "tally":
tdata.set_index(x_name, inplace=True)
x_set = list(set(tdata.index))
y_set = list(set(tdata[y_name].values))
rows = []
for xval in x_set:
try:
row = tdata.loc[xval, label].values
prev_len = len(row)
except AttributeError:
# There is only one total value, fill the rest with
# nan
row = []
for i in range(prev_len - 1):
row.append(np.nan)
row.append(tdata.loc[xval, label])
rows.append(row)
try:
main_value_df = pd.DataFrame(
rows, columns=y_set, index=x_set
)
main_value_df.index.name = x_name
except ValueError:
print(
CRED
+ """
A ValueError was triggered, a probable cause may be that more than 2 binnings
are defined in tally {}. This is a fatal exception, application will now
close""".format(
str(num)
)
+ CEND
)
# Safely exit from excel and from application
# ex.save()
sys.exit()
# reorder index (quick reset of the index)
main_value_df.reset_index(inplace=True)
main_value_df = self._reorder_df(main_value_df, x_name)
main_value_df.set_index(x_name, inplace=True)
# memorize for atlas
outputs[num][label] = main_value_df
# insert the df in pieces
# ex.insert_cutted_df(
# "B",
# main_value_df,
# label + "s",
# ylim,
# header=(key, "Tally n." + str(num)),
# index_name=x_tag,
# cols_name=y_tag,
# index_num_format=idx_format,
# )
else:
# reorder df
try:
tdata = self._reorder_df(tdata, x_name)
except KeyError:
print(
CRED
+ """
{} is not available in tally {}. Please check the configuration file.
The application will now exit """.format(
x_name, str(num)
)
+ CEND
)
# Safely exit from excel and from application
# ex.save()
sys.exit()
if label == "Value":
del tdata["Error"]
elif label == "Error":
del tdata["Value"]
# memorize for atlas and set index
tdata.set_index(x_name, inplace=True)
outputs[num][label] = tdata
# Insert DF
# ex.insert_df(
# "B",
# tdata,
# label + "s",
# print_index=True,
# header=(key, "Tally n." + str(num)),
# )
# memorize data for atlas
self.outputs["mcnp"] = outputs
# print(outputs)
# Dump them for comparisons
raw_outpath = os.path.join(self.raw_path, self.lib + ".pickle")
with open(raw_outpath, "wb") as outfile:
pickle.dump(outputs, outfile)
# Compile general infos in the sheet
# ws = ex.current_ws
# title = self.testname + " RESULTS RECAP: " + label + "s"
# ws.range("A3").value = title
# ws.range("C1").value = self.lib
# --- Compile statistical checks sheet ---
# ws = ex.wb.sheets["Statistical Checks"]
dic_checks = mcnp_output.out.stat_checks
rows = []
for tally in mctal.tallies:
num = tally.tallyNumber
key = tally.tallyComment[0]
key_dic = key + " [" + str(num) + "]"
try:
stat = dic_checks[key_dic]
except KeyError:
stat = None
rows.append([num, key, stat])
stats = pd.DataFrame(rows)
stats.columns = ["Tally Number", "Tally Description", "Result"]
# ws.range("A9").options(index=False, header=False).value = df
# ex.save()
exsupp.single_excel_writer(
self, outpath, self.lib, self.testname, outputs, stats
)
def _print_raw(self):
if self.mcnp:
for key, data in self.raw_data.items():
file = os.path.join(self.raw_path, str(key) + ".csv")
data.to_csv(file, header=True, index=False)
def _generate_comparison_excel_output(self):
# Get excel configuration
self.outputs = {}
self.results = {}
self.errors = {}
self.stat_checks = {}
ex_cnf = pd.read_excel(self.cnf_path, sheet_name="Excel")
ex_cnf.set_index("Tally", inplace=True)
# Open the excel file
# name_tag = "Generic_comparison.xlsx"
# template = os.path.join(os.getcwd(), "templates", name_tag)
if self.mcnp:
mcnp_outputs = {}
comps = {}
abs_diffs = {}
std_devs = {}
for reflib, tarlib, name in self.couples:
lib_to_comp = name
outfolder_path = self.excel_path
outpath = os.path.join(
outfolder_path, "Comparison_" + name + "_mcnp.xlsx"
)
# ex = ExcelOutputSheet(template, outpath)
# Get results
# for lib in to_read:
# results_path = self.test_path[lib]
for lib, results_path in {
reflib: os.path.join(self.test_path[reflib], "mcnp"),
tarlib: os.path.join(self.test_path[tarlib], "mcnp"),
}.items():
results = []
errors = []
# Get mfile and outfile and possibly meshtal file
meshtalfile = None
for file in os.listdir(results_path):
if file[-1] == "m":
mfile = os.path.join(results_path, file)
elif file[-1] == "o":
ofile = os.path.join(results_path, file)
elif file[-4:] == "msht":
meshtalfile = os.path.join(results_path, file)
# Parse output
mcnp_output = MCNPoutput(mfile, ofile, meshtal_file=meshtalfile)
mcnp_outputs[lib] = mcnp_output
# Build the comparison
for label in ["Value", "Error"]:
for tally in mcnp_outputs[reflib].mctal.tallies:
num = tally.tallyNumber
key = tally.tallyComment[0]
# Full tally data
tdata_ref = mcnp_outputs[reflib].tallydata[num].copy()
tdata_tar = mcnp_outputs[tarlib].tallydata[num].copy()
try:
tally_settings = ex_cnf.loc[num]
except KeyError:
print(
" Warning!: tally n."
+ str(num)
+ " is not in configuration"
)
continue
# Re-Elaborate tdata Dataframe
x_name = tally_settings["x"]
x_tag = tally_settings["x name"]
y_name = tally_settings["y"]
y_tag = tally_settings["y name"]
ylim = tally_settings["cut Y"]
# select the index format
if label == "Value":
for dic in [comps, abs_diffs, std_devs]:
dic[num] = {"title": key, "x_label": x_tag}
if x_name == "Energy":
idx_format = "0.00E+00"
# TODO all possible cases should be addressed
else:
idx_format = "0"
if y_name != "tally":
tdata_ref.set_index(x_name, inplace=True)
tdata_tar.set_index(x_name, inplace=True)
x_set = list(set(tdata_ref.index))
y_set = list(set(tdata_ref[y_name].values))
rows_fin = []
rows_abs_diff = []
rows_std_dev = []
for xval in x_set:
try:
ref = tdata_ref.loc[xval, "Value"].values
ref_err = tdata_ref.loc[xval, "Error"].values
tar = tdata_tar.loc[xval, "Value"].values
# !!! True divide warnings are suppressed !!!
with np.errstate(divide="ignore", invalid="ignore"):
row_fin = (ref - tar) / ref
row_abs_diff = ref - tar
row_std_dev = row_abs_diff / (ref_err * ref)
prev_len = len(ref)
except AttributeError:
# This is raised when total values are
# collected only for one bin.
# the rest needs to be filled by nan
ref = tdata_ref.loc[xval, "Value"]
ref_err = tdata_ref.loc[xval, "Error"]
tar = tdata_tar.loc[xval, "Value"]
for i in range(prev_len - 1):
row_fin.append(np.nan)
row_abs_diff.append(np.nan)
row_std_dev.append(np.nan)
row_fin.append((ref - tar) / ref)
row_abs_diff.append(ref - tar)
row_std_dev.append((ref - tar) / (ref_err * ref))
rows_fin.append(row_fin)
rows_abs_diff.append(row_abs_diff)
rows_std_dev.append(row_std_dev)
try:
final = pd.DataFrame(
rows_fin, columns=y_set, index=x_set
)
abs_diff = pd.DataFrame(
rows_abs_diff, columns=y_set, index=x_set
)
std_dev = pd.DataFrame(
rows_std_dev, columns=y_set, index=x_set
)
for df in [final, abs_diff, std_dev]:
df.index.name = x_name
df.replace(np.nan, "Not Available", inplace=True)
df.replace(float(0), "Identical", inplace=True)
df.replace(-np.inf, "Reference = 0", inplace=True)
df.replace(1, "Target = 0", inplace=True)
except ValueError:
print(
CRED
+ """
A ValueError was triggered, a probable cause may be that more than 2 binnings
are defined in tally {}. This is a fatal exception, application will now
close""".format(
str(num)
)
+ CEND
)
# Safely exit from excel and from application
sys.exit()
# reorder index and quick index reset
for df in [final, abs_diff, std_dev]:
df.reset_index(inplace=True)
df = self._reorder_df(df, x_name)
df.set_index(x_name, inplace=True)
comps[num][label] = final
abs_diffs[num][label] = abs_diff
std_devs[num][label] = std_dev
# insert the df in pieces
# ex.insert_cutted_df(
# "B",
# main_value_df,
# "Comparison",
# ylim,
# header=(key, "Tally n." + str(num)),
# index_name=x_tag,
# cols_name=y_tag,
# index_num_format=idx_format,
# values_format="0.00%",
# )
else:
# reorder dfs
try:
tdata_ref = self._reorder_df(tdata_ref, x_name)
except KeyError:
print(
CRED
+ """
{} is not available in tally {}. Please check the configuration file.
The application will now exit """.format(
x_name, str(num)
)
+ CEND
)
# Safely exit from excel and from application
sys.exit()
del tdata_ref["Error"]
tdata_ref.set_index(x_name, inplace=True)
tdata_tar = self._reorder_df(tdata_tar, x_name)
del tdata_tar["Error"]
tdata_tar.set_index(x_name, inplace=True)
# !!! True divide warnings are suppressed !!!
with np.errstate(divide="ignore", invalid="ignore"):
comp_df = (tdata_ref - tdata_tar) / tdata_ref
abs_diff_df = tdata_ref - tdata_tar
std_dev_df = abs_diff_df
comps[num][label] = comp_df
abs_diffs[num][label] = abs_diff_df
std_devs[num][label] = abs_diff_df
# Insert DF
# ex.insert_df(
# "B",
# df,
# "Comparison",
# print_index=True,
# header=(key, "Tally n." + str(num)),
# values_format="0.00%",
# )
# Compile general infos in the sheet
# ws = ex.current_ws
# title = self.testname + " RESULTS RECAP: Comparison"
# ws.range("A3").value = title
# ws.range("C1").value = tarlib + " Vs " + reflib
# Add single pp sheets
# for lib in [reflib, tarlib]:
# cp = self.state.get_path(
# "single", [lib, self.testname, "Excel"])
# file = os.listdir(cp)[0]
# cp = os.path.join(cp, file)
# ex.copy_sheets(cp)
# ex.save()
self.outputs["mcnp"] = comps
exsupp.comp_excel_writer(
self,
outpath,
lib_to_comp,
self.testname,
comps,
abs_diffs,
std_devs,
)
class MCNPoutput:
def __init__(self, mctal_file, output_file, meshtal_file=None):
"""
Class representing all outputs coming from and MCNP run
Parameters
----------
mctal_file : path like object
path to the mctal file.
output_file : path like object
path to the outp file.
meshtal_file : path like object, optional
path to the meshtal file. The default is None.
Returns
-------
None.
"""
self.mctal_file = mctal_file # path to mcnp mctal file
self.output_file = output_file # path to mcnp output file
self.meshtal_file = meshtal_file # path to mcnp meshtal file
# Read and parse the mctal file
mctal = mtal.MCTAL(mctal_file)
mctal.Read()
self.mctal = mctal
self.tallydata, self.totalbin = self.organize_mctal()
# Read the output file
self.out = OutputFile(output_file)