matthewturk

import numpy
import math
import random

def generate_positions(n):
    positions = []
    for i in range(n):
        positions.append((random.random(), random.random(), random.random()))
    return positions

matthewturk

[
    {
        "path": "yt/arraytypes.py",
        "line": 7,
        "func_name": "blankRecordArray",
        "type_comments": [
            "(Dict[str, List[str]], int) -> numpy.recarray"
        ],
        "samples": 310
    },

matthewturk

{
  "g": [
    1,
    "Symbol('(mass)', positive=True)",
    0,
    "\\rm{g}"
  ],
  "s": [
    1,
    "Symbol('(time)', positive=True)",

matthewturk

import yt
import yaml

my_obj = yaml.load(open("what_want_to_do.yml"))
i = 0

for dataset_filename in my_obj['dataset']:
    ds = yt.load(dataset_filename)
    for projection in my_obj['projection_plots']:
        for axis in projection['axes']:

matthewturk

{
  "title": "FieldDefinition",
  "type": "object",
  "properties": {
    "validators": {
      "title": "Validators",
      "default": [],
      "type": "array",
      "items": {
        "anyOf": [

matthewturk

>>> oa['grid_left_edges'] - on['grid_left_edges']
unyt_array([[-3.05474414e+24, -3.05474414e+24, -3.05474414e+24],
            [-3.05474414e+24, -3.05474414e+24, -3.05474414e+24],
            [-3.05474414e+24, -3.05474414e+24, -3.05474414e+24],
            ...,
            [ 2.29105810e+24,  1.52737207e+24,  2.29105810e+24],
            [ 1.52737207e+24,  2.29105810e+24,  2.29105810e+24],
            [ 2.29105810e+24,  2.29105810e+24,  2.29105810e+24]], 'code_length')
>>> on['grid_left_edges']
unyt_array([[-3.08560014e+24, -3.08560014e+24, -3.08560014e+24],

matthewturk

import pooch

for line in open("registry.txt"):
    name, sha, url = line.split()
    registry[name] = sha
    urls[name] = url

GOODBOY = pooch.create(
    # This is still the default in case the environment variable isn't defined
    path=pooch.os_cache("yt"),

matthewturk

[success] 3.60% yt.frontends.athena_pp.tests.test_outputs.FieldValues_AM06_out1_00400_all_velocity_magnitude: 20.1119s                                                                                                         
[success] 3.46% yt.frontends.athena_pp.tests.test_outputs.FieldValues_AM06_out1_00400_sphere_('max', (0_1, 'unitary'))_velocity_magnitude: 19.3312s                                                                            
[success] 2.73% yt.frontends.athena_pp.tests.test_outputs.ProjectionValues_AM06_out1_00400_sphere_('max', (0_1, 'unitary'))_velocity_magnitude_0_density: 15.2401s                                                             
[success] 2.72% yt.frontends.athena_pp.tests.test_outputs.ProjectionValues_AM06_out1_00400_sphere_('max', (0_1, 'unitary'))_velocity_magnitude_2_density: 15.2296s                                                             
[success] 2.72% yt.frontends.athena_pp.tests.test_outputs.ProjectionValues_AM06_out1_00400_sphere_('max', (0_1, 'unitary'))_velo

matthewturk

{
  "density": [
    [
      3.676411957510513e-27,
      4.233186247069095e-27,
      4.7960308251482965e-27,
      5.211452721200936e-27,
      5.5704058574457245e-27,
      5.968494805162153e-27,
      6.3183200611758625e-27,

matthewturk

======================================================================
ERROR: test_derived_field (yt.data_objects.tests.test_data_containers.TestDataContainers)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/matthewturk/yt/yt/yt/data_objects/tests/test_data_containers.py", line 134, in test_derived_field
    ds = fake_particle_ds()
  File "/home/matthewturk/yt/yt/yt/testing.py", line 303, in fake_particle_ds
    ds = load_particles(data, 1.0, bbox=bbox, over_refine_factor = over_refine_factor)
TypeError: load_particles() got an unexpected keyword argument 'over_refine_factor'