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import matplotlib.pyplot as plt | |
import hothouse | |
import hothouse.blaster as hb | |
import hothouse.scene as hs | |
import numpy as np | |
from hothouse.datasets import PLANTS | |
center = np.array([0.0, -100.0, 200]) | |
forward = np.array([0.0, 1.0, 0.0]) | |
up = np.array([0.0, 0.0, 1.0]) |
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ahf: {} | |
art: | |
Density: | |
aliases: [density] | |
display_name: null | |
units: code_mass / code_length**3 | |
Gamma: | |
aliases: [gamma] | |
display_name: null | |
units: '' |
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# https://confluence.atlassian.com/bitbucket/pullrequests-resource-423626332.html | |
# List of PRs: | |
_pr_list = "https://api.bitbucket.org/2.0/repositories/%(owner)s/%(repo_slug)s/pullrequests?state=OPEN,MERGED,DECLINED" | |
# Comments on a PR: | |
_pr_comments = "https://api.bitbucket.org/2.0/repositories/%(owner)s/%(repo_slug)s/pullrequests/%(pull_request_id)s/comments" | |
# Specific comment: | |
# https://api.bitbucket.org/2.0/repositories/{owner}/{repo_slug}/pullrequests/{pull_request_id}/comments/{comment_id} |
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import glob | |
import pandas as pd | |
yteps = {} | |
for fn in sorted(glob.glob("YTEPs/*.rst")): | |
with open(fn, "r") as f: | |
ytep_id = fn.rsplit("-", 1)[-1][:-4] | |
yteps[ytep_id] = {} | |
lines = f.readlines() |
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import pprint, h5py, glob, time | |
ptypes = ["PartType0", "PartType1", "PartType4"] | |
counts = {} | |
fields = {} | |
fns = glob.glob("snapshot_033/snap_033.*.hdf5") | |
fns.sort() |
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github.com/AlDanial/cloc v 1.74 T=6.43 s (109.0 files/s, 30730.0 lines/s) | |
----------------------------------------------------------------------------------------------------------------------------------- | |
File blank comment code | |
----------------------------------------------------------------------------------------------------------------------------------- | |
yt/visualization/_colormap_data.py 106 54 8268 | |
yt/frontends/stream/sample_data/hexahedral_mesh.py 3 2 6195 | |
yt/frontends/stream/sample_data/tetrahedral_mesh.py 3 2 3280 | |
yt/geometry/selection_routines.pyx 253 169 2041 | |
yt/visualization/plot_mod |
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diff --git a/yt/data_objects/particle_store.py b/yt/data_objects/particle_store.py | |
index 7ac3e72ee..1249c0b7c 100644 | |
--- a/yt/data_objects/particle_store.py | |
+++ b/yt/data_objects/particle_store.py | |
@@ -61,7 +61,8 @@ class ParticleFile(metaclass = abc.ABCMeta): | |
end = np.clip(start + self.chunk_size, 0, npart) | |
cinds[ptype] = np.array([(si, ei) for si, ei in zip(start, end)]) | |
self._chunk_indices = cinds | |
- self._num_chunks = max(len(_) for _ in cinds.values()) | |
+ # We have chunks for each |
We can't make this file beautiful and searchable because it's too large.
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X,Y,OBJECTID,Sign_Type,Size_,Supplement,Sign_Post,Year_Insta,Category,Notes,MUTCD,Ownership,FACILITYID,Schools,Location_Adjusted,Replacement_Zone,Sign_Text,Set_ID,FieldVerifiedDate | |
-88.239282647365044,40.14924512182376,1,Streetname - Mast Arm,"16"" X 42""", ,Traffic Signal Mast Arm, ,Streetname, ,D3-1,Champaign,1,,Aerial Photography Adjusted,L,Mercury Dr,1, | |
-88.239280053674577,40.149446757522412,2,Streetname - Mast Arm,"16"" X 42""", ,Traffic Signal Mast Arm, ,Streetname, ,D3-1,Champaign,2,,Aerial Photography Adjusted,L,N Market St,2, | |
-88.292373132919053,40.09312303461725,3,No Outlet,"30"" X 30""", ,Punched Telespar,2010,Warning, ,W14-2,Champaign,3,,Aerial Photography Adjusted,E,,3, | |
-88.295052408353669,40.095087991656165,4,No Outlet,"30"" X 30""", ,Punched Telespar,2010,Warning, ,W14-2,Champaign,4,,Aerial Photography Adjusted,E,,4, | |
-88.284991974020514,40.097600580598019,5,No Outlet,"30"" X 30""", ,Punched Telespar,2010,Warning, ,W14-2,Champaign,5,,Aerial Photography Adjusted,E,,5, | |
-88.279960058947736,40.09435 |
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import yaml | |
import yt | |
from yt.frontends.api import _frontends | |
field_infos = {} | |
for fn in _frontends: | |
f = getattr(yt.frontends, fn) | |
field_infos[fn] = [getattr(f, _) for _ in dir(f) if "Field" in _] |
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# ================================================================================================================= | |
# NOTE: | |
# 1. Comment symbol: # | |
# 2. [*]: defaults | |
# 3. Parameters set to "auto" (usually by setting to a negative value) do not have deterministic default values | |
# and will be set according to the adopted compilation options and/or other runtime parameters | |
# 4. To add new parameters, please edit "Init/Init_Load_Parameter.cpp" | |
# 5. All dimensional variables should be set consistently with the code units (set by UNIT_L/M/T/V/D) |