Add setup and environment

Processed-Data/README.md

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+All processed data should go here.

Raw-Data/READEME.md

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+Raw Data goes here. Each folder should correspond to an animal.

environment.yml

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+name: Roumis_2018
+channels:
+- conda-forge
+- defaults
+- edeno
+dependencies:
+- "python >= 3.5"
+- loren_frank_data_processing
+- ripple_detection
+- replay_classification
+- spectral_connectivity
+- jupyter
+- setuptools
+- "pytest >= 2.7.1"
+- pytest-cov
+- coveralls
+- netcdf4

scripts/queue_cluster_jobs.py

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+'''Script for executing run_by_epoch on the cluster
+'''
+from argparse import ArgumentParser
+from os import getcwd, makedirs, environ
+from os.path import join
+from subprocess import run
+from sys import exit
+
+from loren_frank_data_processing import make_epochs_dataframe
+from src.parameters import ANIMALS
+
+
+def get_command_line_arguments():
+    parser = ArgumentParser()
+    parser.add_argument('--Animal', type=str, help='Short name of animal')
+    parser.add_argument('--Day', type=int, help='Day of recording session')
+    parser.add_argument('--Epoch', type=int,
+                        help='Epoch number of recording session')
+    return parser.parse_args()
+
+
+def queue_job(python_cmd, directives=None, log_file='log.log',
+              job_name='job'):
+    queue_cmd = (
+        'qsub {directives} -j y -o {log_file} -N {job_name}').format(
+            directives=directives,
+            log_file=log_file,
+            job_name=job_name)
+    cmd_line_script = ' | '.join([
+        'echo python {python_cmd}'.format(python_cmd=python_cmd),
+        queue_cmd])
+    run(cmd_line_script, shell=True)
+
+
+def main():
+    # Set the maximum number of threads for openBLAS to use.
+    NUM_THREADS = 16
+    environ['OPENBLAS_NUM_THREADS'] = str(NUM_THREADS)
+    environ['NUMBA_NUM_THREADS'] = str(NUM_THREADS)
+    environ['OMP_NUM_THREADS'] = str(NUM_THREADS)
+    log_directory = join(getcwd(), 'logs')
+    makedirs(log_directory,  exist_ok=True)
+
+    python_function = 'run_by_epoch.py'
+    directives = ' '.join(
+        ['-l h_rt=1:00:00', '-pe omp {0}'.format(NUM_THREADS),
+         '-P braincom', '-notify', '-l mem_total=125G',
+         '-v OPENBLAS_NUM_THREADS', '-v NUMBA_NUM_THREADS',
+         '-v OMP_NUM_THREADS'])
+
+    args = get_command_line_arguments()
+    if args.Animal is None and args.Day is None and args.Epoch is None:
+        epoch_info = make_epochs_dataframe(ANIMALS)
+        epoch_keys = epoch_info[(epoch_info.type == 'run') & (
+            epoch_info.environment != 'lin')].index
+    else:
+        epoch_keys = [(args.Animal, args.Day, args.Epoch)]
+
+    for (animal, day, epoch_ind) in epoch_keys:
+        print('Animal: {0}, Day: {1}, Epoch: {2}'.format(
+            animal, day, epoch_ind))
+        log_file = '{animal}_{day:02d}_{epoch:02d}.log'.format(
+            animal=animal, day=day, epoch=epoch_ind)
+        job_name = (
+            '{function_name}_{animal}_{day:02d}_{epoch:02d}').format(
+            animal=animal, day=day, epoch=epoch_ind,
+            function_name=python_function.replace('.py', ''))
+        python_cmd = '{python_function} {animal} {day} {epoch}'.format(
+            python_function=python_function, animal=animal, day=day,
+            epoch=epoch_ind)
+        queue_job(python_cmd,
+                  directives=directives,
+                  log_file=join(log_directory, log_file),
+                  job_name=job_name)
+
+
+if __name__ == '__main__':
+    exit(main())

scripts/run_by_epoch.py

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+from argparse import ArgumentParser
+from logging import DEBUG, INFO, Formatter, StreamHandler, getLogger
+from signal import SIGUSR1, SIGUSR2, signal
+from subprocess import PIPE, run
+from sys import exit, stdout
+
+
+def get_command_line_arguments():
+    parser = ArgumentParser()
+    parser.add_argument('Animal', type=str, help='Short name of animal')
+    parser.add_argument('Day', type=int, help='Day of recording session')
+    parser.add_argument('Epoch', type=int,
+                        help='Epoch number of recording session')
+    parser.add_argument(
+        '-d', '--debug',
+        help='More verbose output for debugging',
+        action='store_const',
+        dest='log_level',
+        const=DEBUG,
+        default=INFO,
+    )
+    return parser.parse_args()
+
+
+def get_logger():
+    formatter = Formatter(
+        '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+    handler = StreamHandler(stream=stdout)
+    handler.setFormatter(formatter)
+    logger = getLogger()
+    logger.addHandler(handler)
+    return logger
+
+
+def main():
+    args = get_command_line_arguments()
+    logger = get_logger()
+    logger.setLevel(args.log_level)
+
+    def _signal_handler(signal_code, frame):
+        logger.error('***Process killed with signal {signal}***'.format(
+            signal=signal_code))
+        exit()
+
+    for code in [SIGUSR1, SIGUSR2]:
+        signal(code, _signal_handler)
+
+    epoch_key = (args.Animal, args.Day, args.Epoch)
+    logger.info(
+        'Processing epoch: Animal {0}, Day {1}, Epoch #{2}...'.format(
+            *epoch_key))
+    git_hash = run(['git', 'rev-parse', 'HEAD'],
+                   stdout=PIPE, universal_newlines=True).stdout
+    logger.info('Git Hash: {git_hash}'.format(git_hash=git_hash.rstrip()))
+
+    logger.info('Finished Processing')
+
+
+if __name__ == '__main__':
+    exit(main())

setup.cfg

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+[aliases]
+test=pytest

setup.py

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+#!/usr/bin/env python3
+
+from setuptools import find_packages, setup
+
+INSTALL_REQUIRES = ['loren_frank_data_processing', 'ripple_detection',
+                    'spectral_connectivity', 'replay_classification']
+TESTS_REQUIRE = ['pytest >= 2.7.1']
+
+setup(
+    name='roumis_2018',
+    version='0.1.0.dev0',
+    license='GPL-3.0',
+    description=('Analysis of MEC and CA1 connectivity'),
+    author='Demetris Roumis, Eric Denovellis',
+    author_email='[email protected], [email protected]',
+    url='https://github.com/edeno/Roumis_2018',
+    packages=find_packages(),
+    install_requires=INSTALL_REQUIRES,
+    tests_require=TESTS_REQUIRE,
+)

src/parameters.py

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+from collections import namedtuple
+from os.path import join, abspath, dirname, pardir
+
+# LFP sampling frequency
+SAMPLING_FREQUENCY = 1500
+
+# Data directories and definitions
+ROOT_DIR = join(abspath(dirname(__file__)), pardir)
+RAW_DATA_DIR = join(ROOT_DIR, 'Raw-Data')
+PROCESSED_DATA_DIR = join(ROOT_DIR, 'Processed-Data')
+
+Animal = namedtuple('Animal', {'directory', 'short_name'})

tests/README.md

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+Tests go here.