Thomas Cohn cohnt
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| "LD_* scout runtime" information: | |
| { | |
| "steam-runtime-system-info" : { | |
| "version" : "0.20250408.0+srt1", | |
| "path" : "/home/tommy/.steam/debian-installation/ubuntu12_32/steam-runtime/amd64/usr/bin/steam-runtime-system-info" | |
| }, | |
| "can-write-uinput" : true, | |
| "steam-installation" : { | |
| "path" : "/home/tommy/.steam/debian-installation", | |
| "data_path" : "/home/tommy/.steam/debian-installation", |
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| ====================== | |
| Proton: 1748966679 experimental-10.0-20250603b | |
| SteamGameId: 218230 | |
| Command: ['/mnt/9e35f787-a028-48b8-8f0e-9eda11669830/SteamLibrary/steamapps/common/PlanetSide 2/LaunchPad.exe', 'Updates:enable=0', 'Updates:PatchSelf=1', 'campaignID=1063272', 'promoID=146', 'launchPoint=steam', 'launchArgs=STEAM_ENABLED=1'] | |
| Options: {'forcelgadd'} | |
| depot: 3.0.20250408.124536 | |
| pressure-vessel: 0.20250408.0 scout | |
| scripts: 0.20250408.0 | |
| sniper: 3.0.20250408.124536 sniper 3.0.20250408.124536 |
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| import csv | |
| # File paths (change these if needed) | |
| parties_file = 'parties.csv' | |
| guests_file = 'guests.csv' | |
| output_file = 'yes_rsvp_emails.txt' | |
| # Step 1: Collect RSVP IDs for guests who RSVPed yes | |
| yes_rsvp_ids = set() |
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| cmake_minimum_required(VERSION 3.14) | |
| project(constexpr_demo) | |
| # Enable C++17 | |
| set(CMAKE_CXX_STANDARD 17) | |
| set(CMAKE_CXX_STANDARD_REQUIRED ON) | |
| # Find pybind11 | |
| find_package(pybind11 REQUIRED) |
cohnt
/ linewidth_does_not_work.py
Created
January 25, 2025 01:05
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| import numpy as np | |
| import time | |
| from pydrake.all import ( | |
| StartMeshcat, | |
| RigidTransform, | |
| RotationMatrix | |
| ) | |
| meshcat = StartMeshcat() |
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| import os | |
| from pydrake.all import ( | |
| StartMeshcat, | |
| DiagramBuilder, | |
| AddMultibodyPlantSceneGraph, | |
| Parser, | |
| LoadModelDirectivesFromString, | |
| ProcessModelDirectives, | |
| ) |
cohnt
/ large_atomic_cycle_viz.py
Created
July 22, 2024 15:38
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from sklearn.neighbors import kneighbors_graph | |
| from collections import deque | |
| def adj_mat_to_adj_list(adj_mat): | |
| return [list(np.where(adj_mat[i] != 0)[0]) for i in range(adj_mat.shape[0])] | |
| def edge_set_to_adj_mat(edge_set, n_points): | |
| # Takes in a set of edges, and the number of points, and outputs an adjacency |
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| # In[2]: | |
| import numpy as np | |
| import os | |
| import pydot | |
| from IPython.display import display, Image, SVG | |
| from tqdm import tqdm |
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| # In[2]: | |
| import numpy as np | |
| import os | |
| import pydot | |
| from IPython.display import display, Image, SVG | |
| from tqdm import tqdm |
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