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a/Allura/allura/lib/zarkov_helpers.py |
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b/Allura/allura/lib/zarkov_helpers.py |
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def event(self, type, context, extra=None):
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def event(self, type, context, extra=None):
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obj = dict(
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obj = dict(
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type=type, context=context, extra=extra)
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type=type, context=context, extra=extra)
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self._sock.send(bson.BSON.encode(obj))
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self._sock.send(bson.BSON.encode(obj))
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def event_noval(self, type, context, extra=None):
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from zarkov import model
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obj = model.event.make(dict(
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type=type,
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context=context,
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extra=extra))
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obj['$command'] = 'event_noval'
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self._sock.send(bson.BSON.encode(obj))
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def _command(self, cmd, **kw):
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d = dict(kw)
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d['$command'] = cmd
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self._sock.send(bson.BSON.encode(d))
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def zero_fill_zarkov_result(zarkov_data, period, start_date, end_date):
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def zero_fill_zarkov_result(zarkov_data, period, start_date, end_date):
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"""Return a new copy of zarkov_data (a dict returned from a zarkov
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"""Return a new copy of zarkov_data (a dict returned from a zarkov
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query) with the timeseries data zero-filled for missing dates.
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query) with the timeseries data zero-filled for missing dates.
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Args:
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Args:
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time_series (list): A list of [timestamp, value] pairs, e.g.:
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time_series (list): A list of [timestamp, value] pairs, e.g.:
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[[1306886400000.0, 1], [1309478400000.0, 0]]
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[[1306886400000.0, 1], [1309478400000.0, 0]]
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period (str): 'month' or 'date' for monthly or daily timestamps
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period (str): 'month' or 'date' for monthly or daily timestamps
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start_date (datetime or str): Start of the date range. If a str is
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start_date (datetime): Start of the date range.
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passed, it must be in %Y-%m-%d format.
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end_date (datetime or str): End of the date range. If a str is
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end_date (datetime or str): End of the date range.
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passed, it must be in %Y-%m-%d format.
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Returns:
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Returns:
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list. A new copy of time_series, zero-filled.
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list. A new copy of time_series, zero-filled.
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If you want to zero-fill an entire zarkov result, you should use
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If you want to zero-fill an entire zarkov result, you should use
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