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View cartpole_tdlg_cpu_summit_exarl_devel
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Cartpole (Summit) devel-head, nep=100, nst=10 6 PEs per node | |
Processes(Nodes) Average Learner time | |
6(1) 149.4078055 124.1062127 | |
12(2) 85.49015947 59.99625203 | |
24(4) 33.86835831 7.538378505 | |
48(8) 34.30913389 7.581754972 | |
96(16) 33.47916579 7.186413113 | |
192(32) 26.65310982 1.02104867 | |
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View mozlz4a.py
#!/usr/bin/env python | |
# | |
# Decompressor/compressor for files in Mozilla's "mozLz4" format. Firefox uses this file format to | |
# compress e. g. bookmark backups (*.jsonlz4). | |
# | |
# This file format is in fact just plain LZ4 data with a custom header (magic number [8 bytes] and | |
# uncompressed file size [4 bytes, little endian]). | |
# | |
# This Python 3 script requires the LZ4 bindings for Python, see: https://pypi.python.org/pypi/lz4 | |
# |
View DupeFile - 76561198068848003.json
{ | |
"CharacterClass": "UtahAdultS", | |
"DNA": "", | |
"Location_Isle_V3": "X=227441.453 Y=-261507.703 Z=-6477.731", | |
"Rotation_Isle_V3": "P=0.000000 Y=-104.199974 R=0.000000", | |
"Growth": "1.0", | |
"Hunger": "255", | |
"Thirst": "51", | |
"Stamina": "300", | |
"Health": "1200", |
View SaveFile - 76561198068848003.json
{ | |
"CharacterClass": "UtahAdultS", | |
"DNA": "", | |
"Location_Isle_V3": "X=227441.453 Y=-261507.703 Z=-6477.731", | |
"Rotation_Isle_V3": "P=0.000000 Y=-104.199974 R=0.000000", | |
"Growth": "1.0", | |
"Hunger": "255", | |
"Thirst": "51", | |
"Stamina": "300", | |
"Health": "1200", |
View xgb.cv_function
def xgboost_cal(f1,f2,gridsearch_params): | |
''' takes features and do param tuning with xgb.csv ''' | |
min_loss = float("Inf") | |
best_params = None | |
for a, b in gridsearch_params: | |
params[f1] = a | |
params[f2] = b |
View Potential Maintainers
Maintainers: | |
drewrisinger: python27Packages.osqp, python27Packages.osqp, python38Packages.cvxpy, python37Packages.cvxpy, python38Packages.osqp, python37Packages.osqp, python37Packages.osqp, python38Packages.osqp, python38Packages.cvxpy, python38Packages.osqp, python37Packages.cvxpy, python38Packages.cvxpy, python37Packages.cvxpy, python37Packages.osqp, python37Packages.osqp, python37Packages.cvxpy, python27Packages.osqp, python27Packages.osqp, python38Packages.cvxpy, python38Packages.osqp |
View Changed Paths
aarch64-linux python38Packages.qiskit | |
x86_64-darwin python27Packages.osqp | |
x86_64-linux python27Packages.osqp | |
x86_64-linux python37Packages.qasm2image | |
x86_64-linux python38Packages.qasm2image | |
aarch64-linux python38Packages.cvxpy | |
x86_64-linux python37Packages.cvxpy | |
x86_64-darwin python38Packages.qasm2image | |
x86_64-linux python37Packages.qiskit | |
x86_64-darwin python37Packages.qiskit-ignis |
View output_log.txt
This file has been truncated, but you can view the full file.
Log uploaded on Saturday, August 15, 2020, 12:12:04 AM | |
Loaded mods: | |
Harmony(brrainz.harmony)[mv:1.0.4.0]: 0Harmony(2.0.2), HarmonyMod(1.0.4) | |
Core(Ludeon.RimWorld): (no assemblies) | |
Royalty(Ludeon.RimWorld.Royalty): (no assemblies) | |
HugsLib(UnlimitedHugs.HugsLib)[ov:8.0.0]: 0Harmony(av:2.0.2,fv:1.2.0.1), HugsLib(av:1.0.0,fv:8.0.0) | |
Won hair_men(won.hair): (no assemblies) | |
Red Dragon(Bichang.RedDragon): 0Harmony(av:2.0.2,fv:2.0.0.8), DragonsRangeUnlocker(1.0.7369.21702 [no FileVersionInfo]), IncidentWorker_RedDragon(1.0.0) | |
Recipe icons(automatic.recipeicons): 0Harmony(2.0.2), RecipeIcons(1.0.379.18) |
View SQL-To-DataTable.cs
// Simple example for | |
// 1.) Read a sql server query to datatable; | |
// 2.) Export it to .csv | |
class Program | |
{ | |
static void Main(string[] args) | |
{ | |
var connectionString = @"data source=bla bla bla"; | |
var selectQuery = "select * from my-table;"; |
View covid-animation-logs
# Create animation - logs | |
cases_logs <- covid %>% | |
filter(location%in%c('China', 'United States', 'South Korea', | |
'United Kingdom', 'World')) %>% | |
select(date, total_cases, location, total_cases_per_million) %>% | |
mutate(log_cases=log10(total_cases_per_million), | |
location=ifelse(location=='United States','US',ifelse(location=='United Kingdom','UK',ifelse(location=='South Korea','Korea',ifelse(location=='China','China',ifelse(location=='World','World',0))))) | |
) %>% | |
ggplot(aes(x=date, | |
y=log_cases, group=location)) + |
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