philerooski

import pandas as pd
import argparse
import hashlib
import re
import os


def read_args():
    parser = argparse.ArgumentParser()
    parser.add_argument("target_dir",

philerooski

"""
Compute MD5 hashes of files in a local directory or in an S3 bucket.
Outputs a CSV file with columns `path` and `md5`.
When computing MD5 hashes of objects in an S3 bucket, `path` corresponds
to the S3 URI.
"""

import multiprocessing as mp
import boto3 as boto
import pandas as pd

philerooski

library(synapser)
library(tidyverse)

PROJECT_ID <- "syn12030321"
UDALL_USERS <- "syn18691020"
AT_HOME_PD_USERS <- "syn16786935"


get_users <- function(user_table_id) {
  user_table <- as_tibble(synTableQuery(paste(

philerooski

rm(list=ls())
options(stringsAsFactors = F)
library(synapser)
library(tidyverse)
library(lubridate)

fetch_and_prep <- function() {
  mpower_f <- synGet("syn21213531") #"syn11488492")
  mpower <- read_tsv(mpower_f$path)
  now <- lubridate::now()

philerooski

import synapseclient
import pandas
import argparse
import boto3
import os
import json
import uuid


AWS_BATCH_ARRAY_SIZE_LIMIT = 10000

philerooski

library("synapseClient")
synapseLogin()

library("plyr")
library("dplyr")
library("ggplot2")
library("jsonlite")
library("parallel")
library("tidyr")
library("lubridate")

philerooski

# Entry function to extract tremor features

######################
# Load Libraries
######################
library(optparse)
library(data.table)
library(plyr)
library(tidyverse)

philerooski

import synapseclient
import argparse
import pandas
import json
import os


DUMMY_ARG = "dummy"  # A 'None' like string we can pass to boto

philerooski

import bridgeclient # https://github.com/larssono/bridgeclient
import functools


def get_bridge_client(email, password, study):
    bridge = bridgeclient.bridgeConnector(email, password, study=study)
    return bridge


"""

philerooski