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"""Configuration library for experiments.
   Based on version by Nuri C. https://gist.github.com/nuric/e9df5e38c34c804ec6c298ffca7e2d9b

    -- USAGE --
    In Header:
        import config.configlib as configlib 
        from config.configlib import config as C

        parser = configlib.add_parser("File Spec Config")
        parser.add_argument("--mlp_size", default=128, type=int, help="Size of Output MLP")

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wget --load-cookies /tmp/cookies.txt "https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=FILEID' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')&id=FILEID" -O FILENAME && rm -rf /tmp/cookies.txt

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// Light Mode
{
"customColorSchemes": [[
  {"fill": "#2282bc", "stroke": "none"}, // blue
  {"fill": "#17c6d5", "stroke": "none"}, // cyan
  {"fill": "#c4c526", "stroke": "none"}, // yellow
  {"fill": "#e782c9", "stroke": "none"}, // pink
  {"fill": "#9e72c5", "stroke": "none"}, // purple
  {"fill": "#db2c2d", "stroke": "none"}, // red
  {"fill": "#32aa32", "stroke": "none"}, // green

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# Originally taken from Xander Steenbrugge

# cv2:
height, width, _ = img.shape
img_resized      = cv2.resize(img, (new_width, new_height))
img_pixel_values = img[top:down, left:right, :]

# PIL
width, height    = img.size
img_resized      = img.resize((new_width, new_height))

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import os
import numpy as np
import random

import tensorflow as tf
# from tfdeterminism import patch - only in older versions (<2?) of Tensorflow

# import torch

def seed(seed=42):

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# EDIT 10/04/2022 - This version was provided by @jayelm who fixed some bugs and made the function much more robust

import os
import subprocess
import time

def assign_free_gpus(threshold_vram_usage=1500, max_gpus=2, wait=False, sleep_time=10):
    """
    Assigns free gpus to the current process via the CUDA_AVAILABLE_DEVICES env variable
    This function should be called after all imports,

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// Color definitions to override the quiver web color scheme with matplotlib colors defined as tex macros
// This allows easy creation of stylistically consistent Tikz diagrams with relative ease

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Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.

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{
  "url": "https://calendar.google.com/calendar/ical/a0743f85a7e10fa90a0dabedbc0742ffd67995ae7ad5a8d90ed0ed35efacdf5e%40group.calendar.google.com/public/basic.ics",
  "title": "ICLP 2023 Schedule",
  "date": "2023-07-09",
  "starting_hour": "8",
  "ending_hour": "20",
  "hour_division": "2",
  "target": "_self",
  "start_of_week": "su",
  "timezone": "Europe/London",