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def fun_mapinit(input_iter, params):
    import os
    os.environ["DYLIB_LIBRARY_PATH"] = "your_path" 
    params.pycuda = __import__("pycuda")

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handle_cast({update_config_table, Config}, S) ->
    error_logger:info_report([{"Config table update"}]),
    Update = fun({Host, Slots}, DNodes) ->
                    DNode = case gb_trees:lookup(Host, S#state.nodes) of
                                none ->
                                    #dnode{name = Host,
                                           slots = Slots,
                                           node_mon = monitor(Host)};
                                {value, N} ->
                                    N#dnode{slots = Slots}

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handle_cast({update_config_table, Config}, S) ->
    error_logger:info_report([{"Config table update"}]),
    Update =
        fun({Host, Slots}, DNodes) ->
            DNode =
                case gb_trees:lookup(Host, S#state.nodes) of
                    none ->
                        #dnode{name = Host,
                               slots = Slots,
                               node_mon = monitor(Host)};

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handle_cast({update_config_table, Config}, S) ->
    error_logger:info_report([{"Config table update"}]),
    UpdateNodes = fun({Host, Slots}, DNodes) ->
                          DNode = case gb_trees:lookup(Host, S#state.nodes) of
                                      none ->
                                          #dnode{name = Host,
                                                 slots = Slots,
                                                 node_mon = monitor(Host)};
                                      {value, N} ->
                                          N#dnode{slots = Slots}

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Bitdeli visualization example: Trains arriving to BART stations in next 15 minutes

This example shows how to use real-time data from the Bitdeli API to create visualizations with RaphaelJS.

The visualization shows a BART station on each column. The further the estimated time arrival is for a train, the further it is drawn from its destination station down bottom. The data is updated once a minute. Refresh the page to see the updated status.

The data originates from the BART API through this Bitdeli script.

You can view the live visualization here with bl.ocks.org.

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fyy

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import bitdeli, json
from datetime import datetime
from time import mktime, strptime

bitdeli.set_theme('eighties')

BASELINE = mktime(strptime('2012-03-01', '%Y-%m-%d'))
all_users = [0] * 30
active_users = [0] * 30

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import json
import sys
import urllib

BITDELI_API = 'https://track.bitdeli.com/events'

MAX_BUFFER_SIZE = 8 * 1024 * 1024
DATA = sys.argv[1]
INPUT_ID = sys.argv[2]
AUTH = sys.argv[3]

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package main

import (
	"os"
    "sync"

    "github.com/traildb/traildb-go"
)

var NUM_WORKERS = 16

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from metaflow import FlowSpec, step
from functools import wraps

def profile_memory(f):
    @wraps(f)
    def func(self):
        from memory_profiler import memory_usage
        self.mem_usage = memory_usage((f, (self,), {}), timeout=6000000, interval=1)
    return func