import nose
from nose.tools import assert_equal, assert_in, assert_true, assert_almost_equal
import numpy as np
import numpy.testing as npt
from pyne.utils import QAWarning
from pyne.pyne_config import pyne_conf
warnings.simplefilter("ignore", QAWarning)
import pyne
from pyne import data, nucname
from pyne import utils
if utils.use_warnings():
utils.toggle_warnings()
def test_atomic_mass():
# set the datapath to nonsense so we call the cpp data version
orig = pyne_conf.NUC_DATA_PATH
pyne_conf.NUC_DATA_PATH = b"bobbobhonkeytonk"
o16 = [15.9949146196, 16.0]
u235 = [235.04392819, 235.0]
am242m = [242.059547428, 242.0]
# zzaam form
assert_in(data.atomic_mass(80160), o16)
assert_in(data.atomic_mass(922350), u235)
assert_in(data.atomic_mass(952421), am242m)
pyne_conf.NUC_DATA_PATH = orig
def test_toggle_warnings():
state = utils.use_warnings()
observed = utils.toggle_warnings()
assert_equal(state, not observed)
# PYTHON_ARGCOMPLETE_OK
import argparse
import os
from subprocess import run
import logging
from itertools import combinations
import numpy as np
from scipy.sparse import csr_matrix
from scipy.sparse.linalg import use_solver
import tables
from pyne.utils import toggle_warnings
import warnings
toggle_warnings()
warnings.simplefilter('ignore')
import pyne.data
import pyne.material
from pyne.origen22 import (nlbs, write_tape5_irradiation, write_tape4,
parse_tape9, merge_tape9, write_tape9, parse_tape6)
from pyne.material import from_atom_frac
from .util import load_sparse_csr, time_func
from .tape9utils import origen_to_name
from .codegen import CRAM_matrix_exp_lambdify
logger = logging.getLogger(__name__)
logger.addHandler(logging.StreamHandler())
# Change to WARN for less output
def test_toggle_warnings():
state = utils.use_warnings()
observed = utils.toggle_warnings()
assert_equal(state, not observed)
#! /usr/bin/env python
"""This file generates a static C++ decayer function for use with PyNE.
It is suppossed to be fast.
"""
import io
import warnings
from argparse import ArgumentParser, Namespace
import numpy as np
warnings.simplefilter('ignore', RuntimeWarning)
import tables as tb
import jinja2
from pyne.utils import QAWarning, toggle_warnings
warnings.simplefilter('ignore', QAWarning)
toggle_warnings()
from pyne import nuc_data
from pyne import nucname
from pyne.data import branch_ratio, half_life, decay_const, \
all_children, fpyield, all_branch_ratio
ENV = jinja2.Environment(undefined=jinja2.StrictUndefined)
autogenwarn = """
// !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
// !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
// WARNING
// This file has been auto generated
// Do not modify directly. You have
// been warned. This is that warning
// !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
import nose
from nose.tools import assert_equal, assert_in, assert_true
import numpy as np
import numpy.testing as npt
from pyne.utils import QAWarning
warnings.simplefilter("ignore", QAWarning)
import pyne
from pyne import data, nucname
from pyne import utils
if utils.use_warnings():
utils.toggle_warnings()
# These tests require nuc_data
if not os.path.isfile(pyne.nuc_data):
raise RuntimeError("Tests require nuc_data.h5. Please run nuc_data_make.")
def test_atomic_mass():
o16 = [15.99491461957, 16.0]
u235 = [235.043930131, 235.0]
am242m = [242.059549364, 242.0]
# zzaam form
assert_in(data.atomic_mass(80160), o16)
assert_in(data.atomic_mass(922350), u235)
assert_in(data.atomic_mass(952421), am242m)
