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register.py
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register.py
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import os
import numpy as np
Tcut_halogas = 1.e5 # Hot gas temperature threshold in K
class Macsis:
name: str = 'MACSIS'
cosma_repository: str = '/cosma5/data/dp004/dc-hens1/macsis/macsis_gas'
output_dir: str = '/cosma6/data/dp004/dc-alta2/macsis_analysis'
def __init__(self) -> None:
# Sort halos by index number
halos_list = os.listdir(self.cosma_repository)
halos_list = [i for i in halos_list if i.startswith('halo')]
halos_list.sort(key=lambda x: int(x[-4:]))
# Load halos data directories
self.halo_paths = [os.path.join(self.cosma_repository, i) for i in halos_list]
self.num_zooms = len(self.halo_paths)
def get_zoom(self, index: int):
assert len(self.halo_paths) > 0
try:
directory_select = self.halo_paths[index]
except IndexError as err:
print((
f"Trying to access zoom object with output index {index:d}, "
f"but the maximum index available is {len(self.halo_paths) - 1:d}."
))
raise err
return Zoom(directory_select)
class Redshift(object):
__slots__ = (
'run_name',
'scale_factor',
'a',
'redshift',
'z',
'snapshot_path',
'catalogue_grouptab_path',
'catalogue_subfindtab_path',
'catalogue_particles_path',
)
run_name: str
scale_factor: float
a: float
redshift: float
z: float
snapshot_path: str
catalogue_grouptab_path: str
catalogue_subfindtab_path: str
catalogue_particles_path: str
def __init__(self, info_dict: dict):
for key in info_dict:
setattr(self, key, info_dict[key])
setattr(self, 'a', self.scale_factor)
setattr(self, 'z', self.redshift)
def __str__(self):
return (
f"Run name: {self.run_name}\n"
f"Scale factor (a): {self.scale_factor}\n"
f"Redshift (z): {self.redshift}\n"
f"Snapshot file: {self.snapshot_path}\n"
f"Catalog group-tab file: {self.catalogue_grouptab_path}\n"
f"Catalog subfind-tab file: {self.catalogue_subfindtab_path}\n"
f"Catalog particles file: {self.catalogue_particles_path}"
)
class Zoom(object):
def __init__(self, run_directory: str) -> None:
self.run_name = os.path.basename(run_directory)
self.run_directory = run_directory
self.scale_factors, self.redshifts = self.read_output_list()
# Retrieve complete data paths to files
self.snapshot_paths = []
self.catalogue_grouptab_paths = []
self.catalogue_subfindtab_paths = []
self.catalogue_particles_paths = []
for dir_output in os.listdir(os.path.join(run_directory, 'data')):
path_output = os.path.join(run_directory, 'data', dir_output)
# Retrieve snapshots file paths
if dir_output.startswith('snapshot') and not dir_output.endswith('_023'):
files = os.listdir(path_output)
if len(files) == 1 and isinstance(files, list):
files = os.path.join(path_output, files[0])
elif len(files) > 1:
files = tuple([os.path.join(path_output, file) for file in files])
self.snapshot_paths.append(files)
# Retrieve group_tab and subfind_tab files
elif dir_output.startswith('groups'):
files = os.listdir(path_output)
for file in files:
if file.startswith('eagle_subfind_tab'):
self.catalogue_subfindtab_paths.append(os.path.join(path_output, file))
elif file.startswith('group_tab'):
self.catalogue_grouptab_paths.append(os.path.join(path_output, file))
# Retrieve subfind particle data
elif dir_output.startswith('particledata'):
files = os.listdir(path_output)
if len(files) == 1 and isinstance(files, list):
files = os.path.join(path_output, files[0])
else:
files = tuple([os.path.join(path_output, file) for file in files])
self.catalogue_particles_paths.append(files)
assert len(self.scale_factors) == len(self.snapshot_paths), (
f"[Halo {self.run_name}] {len(self.scale_factors)} != {len(self.snapshot_paths)}"
)
assert len(self.scale_factors) == len(self.catalogue_subfindtab_paths), (
f"[Halo {self.run_name}] {len(self.scale_factors)} != {len(self.catalogue_subfindtab_paths)}"
)
assert len(self.scale_factors) == len(self.catalogue_grouptab_paths), (
f"[Halo {self.run_name}] {len(self.scale_factors)} != {len(self.catalogue_grouptab_paths)}"
)
assert len(self.scale_factors) == len(self.catalogue_particles_paths), (
f"[Halo {self.run_name}] {len(self.scale_factors)} != {len(self.catalogue_particles_paths)}"
)
# Sort redshift outputs by index
sort_arg = dict(key=lambda x: int(x.split('.')[0][-3:]))
self.snapshot_paths.sort(**sort_arg)
self.catalogue_subfindtab_paths.sort(**sort_arg)
self.catalogue_grouptab_paths.sort(**sort_arg)
self.catalogue_particles_paths.sort(**sort_arg)
def read_output_list(self):
output_list_file = os.path.join(self.run_directory, 'output_list')
scale_factors = np.genfromtxt(output_list_file)
redshifts = 1 / scale_factors - 1
return scale_factors, redshifts
def get_redshift(self, index: int = -1):
"""
To get z = 0 data promptly, specify index = -1. This
selects the last output in the index list, which is the
last redshift produced at runtime.
:param index: int
The integer index describing the output sequence.
:return: Redshift instance
The Redshift object contains fast-access absolute
paths to the key files to read data from.
"""
try:
redshift_select = self.redshifts[index]
except IndexError as err:
print((
f"Trying to access redshift with output index {index:d}, "
f"but the maximum index available is {len(self.redshifts) - 1:d}."
))
raise err
redshift_info = dict()
redshift_info['run_name'] = self.run_name
redshift_info['scale_factor'] = self.scale_factors[index]
redshift_info['redshift'] = redshift_select
redshift_info['snapshot_path'] = self.snapshot_paths[index]
redshift_info['catalogue_subfindtab_path'] = self.catalogue_subfindtab_paths[index]
redshift_info['catalogue_grouptab_path'] = self.catalogue_grouptab_paths[index]
redshift_info['catalogue_particles_path'] = self.catalogue_particles_paths[index]
check_index = np.where(self.scale_factors == redshift_info['scale_factor'])[0][0]
assert f"{check_index:03d}" in os.path.basename(redshift_info['snapshot_path'])
assert f"{check_index:03d}" in os.path.basename(redshift_info['catalogue_grouptab_path'])
assert f"{check_index:03d}" in os.path.basename(redshift_info['catalogue_subfindtab_path'])
assert f"{check_index:03d}" in os.path.basename(redshift_info['catalogue_particles_path'])
return Redshift(redshift_info)
if __name__ == "__main__":
macsis = Macsis()
for i in range(10):
halo = macsis.get_zoom(i).get_redshift(-1)
print(halo)