def test_default(self):
logger = stream_log(self.key)
# check that the logger has a single stream handler
handlers = [
i for i in logger.handlers if isinstance(i, logging.StreamHandler)
]
self.assertTrue(len(handlers) == 1)
def test_WARNING(self):
level = "WARNING"
logger = stream_log(self.key, level=level)
# check that the logger has a single stream handler
handlers = [i for i in logger.handlers if isinstance(i, logging.StreamHandler)]
self.assertTrue(len(handlers) == 1)
self.assertTrue(handlers[0].level == getattr(logging, level))
def test_ouptut(self):
level = "WARNING"
logger = stream_log(self.key, level=level)
logger.warning('Test Warning')
from pathlib import Path
from pyrolite_meltsutil.tables import get_experiments_summary
from pyrolite_meltsutil.plottemplates import table_by_phase
from pyrolite.util.meta import stream_log
logger = stream_log('pyrolite_meltsutil.tables', level='DEBUG')
tempdir = Path("./_auto") / "montecarlo"
summary = get_experiments_summary(tempdir / "isobar5kbar1300-800CFMQ",
kelvin=False)
# %%
import matplotlib.pyplot as plt
import pyrolite.plot
from pyrolite.util.plot import add_colorbar
otpt = summary["MORB_Gale2013-2"]["output"]
otpt.liquidcomp
cmap = plt.cm.magma
norm = plt.Normalize(vmin=otpt.liquidcomp.Temperature.min(),
vmax=otpt.liquidcomp.Temperature.max())
ax = otpt.liquidcomp.loc[:, ["CaO", "MgO", "Al2O3"]].pyroplot.scatter(
color=otpt.liquidcomp.Temperature.values, cmap=cmap, figsize=(8, 8))
add_colorbar(ax.collections[-1], cmap=cmap, norm=norm)
# %%
import numpy as np
import pandas as pd
from pyrolite.comp.codata import clr, inverse_clr, alr, inverse_alr
# cpx olivine plag
# CaMgSi2O6 Mg2Si2O4 CaAl2Si2O8
----------------------------------
pyrolite can download and manage its own version of alphaMELTS (without any real
'installation', *per-se*), and use this for :mod:`~pyrolite_meltsutil.automation`
purposes.
"""
from pyrolite.util.meta import stream_log
from pyrolite_meltsutil.download import install_melts
from pyrolite_meltsutil.util.general import pyrolite_meltsutil_datafolder
########################################################################################
# Here we can do a conditonal install - only downloading alphamelts if it doesnt exist:
#
if not (pyrolite_meltsutil_datafolder(subfolder="localinstall")).exists():
stream_log("pyrolite-meltsutil", level="INFO") # logger for output info
install_melts(
local=True) # install a copy of melts to pyrolite data folder
########################################################################################
# .. warning:: This 'local install' method still requires that you have Perl installed,
# as it uses the Perl :code:`run_alphamelts.command` script. If you're on
# Windows, you can use `Strawberry Perl <http://strawberryperl.com/>`__
# for this purpose.
#
# .. seealso::
#
# Examples:
# `alphaMELTS Environment Configuration <environment.html>`__,
# `Automating alphaMELTS Runs <automation.html>`__,
# `Handling Outputs from Melts: Tables <tables.html>`__,
env.DELTAT = -5
env.MINP = 0
env.MAXP = 10000
########################################################################################
# Let's create a directory to run this experiment in - here we use an example folder:
#
from pyrolite_meltsutil.util.general import get_data_example
experiment_dir = get_data_example("montecarlo")
########################################################################################
# Let's also set up logging we can see the progression:
from pyrolite.util.meta import stream_log
import logging
logger = logging.Logger(__name__)
stream_log(logger)
########################################################################################
# Next we setup the alphaMELTS configuration for each of the inputs:
#
from pyrolite_meltsutil.automation import MeltsBatch
batch = MeltsBatch(
df,
default_config={
"Initial Pressure": 5000,
"Initial Temperature": 1300,
"Final Temperature": 800,
"modes": ["isobaric"],
},
config_grid={
# "Initial Pressure": [3000, 7000],
