smutch

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from subprocess import run, PIPE
import os
from time import sleep
import click


@click.command()

smutch

Meraxes on Raijin

Tested with the following modules:

- Package -----------------------------+- Versions -+- Last mod. ------
gcc/4.9.0                                            2014/07/03  4:40:12
openmpi/4.0.0                                        2019/01/30  4:13:57
cmake/3.14.4                                         2019/05/16 23:37:18
gsl/2.5 2018/06/21 0:53:02

smutch

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""Calculate photo ionisation and photo heating rates for J21 = 1.0 and a given
UV spectral slope value, α.

Sorry for the current lack of comments!
"""

__author__ = "Simon Mutch"

smutch

#!/usr/bin/env python

"""A faster-than-pure-python+numpy cloud-in-cell gridding implementation.

**THIS IS A WORK IN PROGRESS AND NOT FULLY TESTED.**

Several assumptions are made:

1. All particles have the same mass (weight)
2. The volume being gridded is an N-dimensional cartesian

smutch

import numpy as np
import h5py as h5
import xarray as xa
from pathlib import Path
import numba

import pytest

SNAP = 12

smutch

#!/usr/bin/env bash

# Generate the appropriate contents of CMAKE_PREFIX_PATH for the loaded set of modules.
# Author: S. Mutch (2019)
#
# Usage:
#    CMAKE_PREFIX_PATH=`cmake_prefix_path` cmake ..

cmake_prefix_path=""

smutch

# invoke with:
#   env CC=`which mpicc` HDF5_MPI="ON" MPICC=`which mpicc` conda env create -f=std_conda_environment.yml
name: std
channels:
  - conda-forge
  - defaults
dependencies:
  - nomkl
  - pip
  - black

smutch

"""
Testing of blackbox package.  How well does it work and making sure I understand its use.
"""

import sys

sys.path.insert(0, "../3rd_party/blackbox")  # noqa: E402

import blackbox as bb
from scipy import stats

smutch

#!/usr/bin/env python

"""Test the Genesis grids totals against cosmology.  This is to help K Ren (see email 2020-03-17)."""

__author__ = "Simon Mutch"
__date__ = "2020-03-18"

from pathlib import Path
import logging

smutch

import numpy as np
import xarray as xa
import h5py as h5

PATH_IN = "/fred/oz078/smutch/intensity_mapping/baseline/imapping_testrun/HIMass_grids.h5"
SNAPSHOT = 250  # z=0

with h5.File(PATH_IN, "r") as fp:
    ds = fp[f"Snap{SNAPSHOT:03d}"]
    box_size = ds.attrs["box_size"][:]