adding projects

python/Deep Learning/Project/part1/workspace-utils.py

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+import signal
+
+from contextlib import contextmanager
+
+import requests
+
+
+DELAY = INTERVAL = 4 * 60  # interval time in seconds
+MIN_DELAY = MIN_INTERVAL = 2 * 60
+KEEPALIVE_URL = "https://nebula.udacity.com/api/v1/remote/keep-alive"
+TOKEN_URL = "http://metadata.google.internal/computeMetadata/v1/instance/attributes/keep_alive_token"
+TOKEN_HEADERS = {"Metadata-Flavor":"Google"}
+
+
+def _request_handler(headers):
+    def _handler(signum, frame):
+        requests.request("POST", KEEPALIVE_URL, headers=headers)
+    return _handler
+
+
+@contextmanager
+def active_session(delay=DELAY, interval=INTERVAL):
+    """
+    Example:
+
+    from workspace_utils import active session
+
+    with active_session():
+        # do long-running work here
+    """
+    token = requests.request("GET", TOKEN_URL, headers=TOKEN_HEADERS).text
+    headers = {'Authorization': "STAR " + token}
+    delay = max(delay, MIN_DELAY)
+    interval = max(interval, MIN_INTERVAL)
+    original_handler = signal.getsignal(signal.SIGALRM)
+    try:
+        signal.signal(signal.SIGALRM, _request_handler(headers))
+        signal.setitimer(signal.ITIMER_REAL, delay, interval)
+        yield
+    finally:
+        signal.signal(signal.SIGALRM, original_handler)
+        signal.setitimer(signal.ITIMER_REAL, 0)
+
+
+def keep_awake(iterable, delay=DELAY, interval=INTERVAL):
+    """
+    Example:
+
+    from workspace_utils import keep_awake
+
+    for i in keep_awake(range(5)):
+        # do iteration with lots of work here
+    """
+    with active_session(delay, interval): yield from iterable