Xylar Asay-Davis xylar

## isomip_plus_base_mesh.py
#!/usr/bin/env python3

import numpy as np
from mpas_tools.io import write_netcdf
from mpas_tools.planar_hex import make_planar_hex_mesh
from mpas_tools.translate import translate


def main():
    """

## grayskull_autoupdate.py
#!/usr/bin/env python
import argparse
import os
import shutil
import subprocess
import packaging.version
import grayskull.strategy
from importlib.resources import open_binary
import yaml

## conda_first_failure_qt_gdal.py
#!/usr/bin/env python
import subprocess
import os

subdir = 'linux-64'

specs = ['python=3.9',
         #'qt=5.12.9',',
         'dbus >=1.13.6,<2.0a0',
         'expat >=2.2.10,<3.0.0a0',

## add_feedstock.bash
#!/bin/bash

set -e

feedstock="$1"-feedstock

mkdir -p "${feedstock}"
cd "${feedstock}"

git clone git@github.com:conda-forge/"${feedstock}".git

## conda_first_failure.py
#!/usr/bin/env python
import subprocess
import os

subdir = 'osx-64'

specs = ['python=3.9.*',
         'setuptools',
         'cython',
         'libcdms',

## create_env_and_plot.bash
#!/usr/bin/env bash

conda create -y -n plot_topo_env -c conda-forge python=3.9 cartopy matplotlib xarray numpy progressbar2 requests cmocean
conda activate plot_topo_env
./plot_bedmap2_topo.py

## define_vertical_grid_64_layers_xsad.py
#!/usr/bin/env python

from make_vertical_grid_xsad import create_vertical_grid

# Standard 64 layer vertical grid
create_vertical_grid(bottom_depth=5500, nz=64, dz1_in=2., dz2_in=200.,
                     plot_vertical_grid=True, outFile= 'vertical_grid_xsad.nc')

## fit_smoothing_width.py
#!/usr/bin/env python

import numpy
import matplotlib.pyplot as plt
from scipy.ndimage.filters import convolve1d
from pandas import DataFrame
from sklearn import linear_model

nx = 2001
x = numpy.linspace(-10., 10., nx)

## high_res_region.geojson

      
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                xylar
                / high_res_region.geojson
            
            
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              March 14, 2020 20:49
            
              
                Test region
              
          
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## setup_moc_regions.py
#!/usr/bin/env python
"""
This script creates MOCBasinRegionGroup, which includes five regions used for
computing the meridional overturning circulation (MOC) and meridional heat
transport (MHT)
"""

# stuff to make scipts work for python 2 and python 3
from __future__ import absolute_import, division, print_function, \
    unicode_literals
	#!/usr/bin/env python3

	import numpy as np
	from mpas_tools.io import write_netcdf
	from mpas_tools.planar_hex import make_planar_hex_mesh
	from mpas_tools.translate import translate


	def main():
	"""
	#!/usr/bin/env python
	import argparse
	import os
	import shutil
	import subprocess
	import packaging.version
	import grayskull.strategy
	from importlib.resources import open_binary
	import yaml
	#!/bin/bash

	set -e

	feedstock="$1"-feedstock

	mkdir -p "${feedstock}"
	cd "${feedstock}"

	git clone git@github.com:conda-forge/"${feedstock}".git
	#!/usr/bin/env bash

	conda create -y -n plot_topo_env -c conda-forge python=3.9 cartopy matplotlib xarray numpy progressbar2 requests cmocean
	conda activate plot_topo_env
	./plot_bedmap2_topo.py
	#!/usr/bin/env python

	from make_vertical_grid_xsad import create_vertical_grid

	# Standard 64 layer vertical grid
	create_vertical_grid(bottom_depth=5500, nz=64, dz1_in=2., dz2_in=200.,
	plot_vertical_grid=True, outFile= 'vertical_grid_xsad.nc')
	#!/usr/bin/env python

	import numpy
	import matplotlib.pyplot as plt
	from scipy.ndimage.filters import convolve1d
	from pandas import DataFrame
	from sklearn import linear_model

	nx = 2001
	x = numpy.linspace(-10., 10., nx)
	#!/usr/bin/env python
	"""
	This script creates MOCBasinRegionGroup, which includes five regions used for
	computing the meridional overturning circulation (MOC) and meridional heat
	transport (MHT)
	"""

	# stuff to make scipts work for python 2 and python 3
	from __future__ import absolute_import, division, print_function, \
	unicode_literals