annawoodard

def restart_from_checkpoint(checkpoint_path, restore_objects=None, **kwargs):
    """
    Re-start training or inference from a previous checkpoint.

    Args:
        checkpoint_path (str): Path to checkpoint file
        restore_objects (dict): Dict containing objects to reload from checkpoint
        **kwargs (dict): Keyword args containing model states to reload

    Returns:

annawoodard

from scipy.stats import norm


def detectable_difference(alpha, power, proportion, n_positives):
    """
    Calculate the detectable difference in proportions for a given sample size, power, significance level, and proportion.

    Parameters:
    alpha: Significance level
    power: Desired power of the test

annawoodard

annawoodard

LOCK_NAME="chimec_sync"
LOCK_DIR='/tmp/'${LOCK_NAME}.lock
PID_FILE=${LOCK_DIR}'/'${LOCK_NAME}'.pid'

if mkdir ${LOCK_DIR} 2>/dev/null; then
  # If the ${LOCK_DIR} doesn't exist, then start working & store the ${PID_FILE}
  echo $$ > ${PID_FILE}

  rsync --remove-source-files -avPz  /mnt/hiro/ [email protected]:/gpfs/data/huo-lab/Image/ChiMEC/ >& /home/annawoodard/rsync.log
  rm -rf ${LOCK_DIR}

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# only the first time:
git clone [email protected]:annawoodard/coffeandbacon.git
source coffeandbacon/setup_lcg.sh
pip install https://github.com/Parsl/parsl/zipball/master --user
mkdir coffeandbacon/analysis/runinfo
fs sa coffeandbacon/analysis/runinfo nd_campus rlidwk  # this is necessary because condor logs will be written here-- otherwise jobs fail for me with a permission denied error
cd coffeandbacon/analysis/
./compile_corrections.py # this step could be automated, I'm just following what's already implemented
./boostedHbbProcessor.py  # this step could be automated, I'm just following what's already implemented

annawoodard

import parsl
from parsl.providers import SlurmProvider

from parsl.config import Config
from parsl.executors.ipp import IPyParallelExecutor
from parsl.app.app import python_app

config = Config(
    executors=[
        IPyParallelExecutor(