def tmp_data_dir(tmp_path):
pre_test_data_dir = ytcfg["yt", "test_data_dir"]
ytcfg.set("yt", "test_data_dir", str(tmp_path))
yield tmp_path
ytcfg.set("yt", "test_data_dir", pre_test_data_dir)
def tmp_data_dir(tmp_path):
from yt.config import ytcfg
pre_test_data_dir = ytcfg["yt", "test_data_dir"]
ytcfg.set("yt", "test_data_dir", str(tmp_path))
yield tmp_path
ytcfg.set("yt", "test_data_dir", pre_test_data_dir)
def fake_data_dir_in_a_vaccum(tmp_path):
pre_test_data_dir = ytcfg["yt", "test_data_dir"]
ytcfg.set("yt", "test_data_dir", "/does/not/exist")
origin = os.getcwd()
os.chdir(tmp_path)
yield
ytcfg.set("yt", "test_data_dir", pre_test_data_dir)
os.chdir(origin)
def custom_ramses_fields_conf():
old_config = deepcopy(ytcfg.config_root.as_dict())
ytcfg.add_section("ramses-hydro")
ytcfg.add_section("ramses-grav")
ytcfg.set("ramses-hydro", "fields", custom_hydro)
ytcfg.set("ramses-grav", "fields", custom_grav)
yield
ytcfg.remove_section("ramses-hydro")
ytcfg.remove_section("ramses-grav")
ytcfg.update(old_config)
import yt, sys, os
yt.enable_parallelism()
from yt.config import ytcfg
from yt.analysis_modules.halo_finding.rockstar.api import \
RockstarHaloFinder
from yt.data_objects.particle_filters import \
particle_filter
from yt.data_objects.time_series import DatasetSeries
import numpy as np
from ramses_pp.modules import Simulation
#ytcfg.set('yt', '__global_parallel_size', str(MPI.COMM_WORLD.Get_size()))
#ncpu = 32
ncpu = 1
#ncpu = MPI.COMM_WORLD.Get_size()
ytcfg.set('yt', '__global_parallel_size', str(ncpu))
# create a particle filter to remove star particles
@yt.particle_filter("dark_matter", requires=[('particle_mass')])
def dark_matter(pfilter, data):
if ('all', 'particle_age') in data.ds.field_list:
return data[("all", "particle_age")] == 0.0
else:
arr = np.zeros(len(data['particle_mass']))
return arr == 0.0
def setup_ds(ds):
#Return only dark matter particles, and assert that the filter holds
print 'Here'
