def __init__(self,
expr,
columns,
resources=None,
odo_kwargs=None,
data_query_time=None,
data_query_tz=None,
checkpoints=None):
dshape = expr.dshape
if not istabular(dshape):
raise ValueError(
'expression dshape must be tabular, got: %s' % dshape,
)
required_cols = list(
required_estimates_fields(columns)
)
self._expr = bind_expression_to_resources(
expr[required_cols],
resources,
)
self._columns = columns
self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {}
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
self._checkpoints = checkpoints
def __init__(self,
expr,
columns,
resources=None,
odo_kwargs=None,
data_query_time=None,
data_query_tz=None,
checkpoints=None):
dshape = expr.dshape
if not istabular(dshape):
raise ValueError(
'expression dshape must be tabular, got: %s' % dshape, )
required_cols = list(required_estimates_fields(columns))
self._expr = bind_expression_to_resources(
expr[required_cols],
resources,
)
self._columns = columns
self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {}
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
self._checkpoints = checkpoints
def __init__(self,
expr,
next_value_columns,
previous_value_columns,
resources=None,
odo_kwargs=None,
data_query_time=None,
data_query_tz=None):
dshape = expr.dshape
if not istabular(dshape):
raise ValueError(
'expression dshape must be tabular, got: %s' % dshape,
)
required_cols = list(
required_event_fields(next_value_columns, previous_value_columns)
)
self._expr = bind_expression_to_resources(
expr[required_cols],
resources,
)
self._next_value_columns = next_value_columns
self._previous_value_columns = previous_value_columns
self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {}
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
def __init__(self,
expr,
next_value_columns,
previous_value_columns,
resources=None,
odo_kwargs=None,
data_query_time=None,
data_query_tz=None):
dshape = expr.dshape
if not istabular(dshape):
raise ValueError(
'expression dshape must be tabular, got: %s' % dshape, )
required_cols = list(
required_event_fields(next_value_columns, previous_value_columns))
self._expr = bind_expression_to_resources(
expr[required_cols],
resources,
)
self._next_value_columns = next_value_columns
self._previous_value_columns = previous_value_columns
self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {}
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
def __init__(self,
expr,
resources=None,
odo_kwargs=None,
data_query_time=None,
data_query_tz=None,
dataset=default_dataset):
if dataset is None:
dataset = self.default_dataset
dshape = expr.dshape
if not istabular(dshape):
raise ValueError(
'expression dshape must be tabular, got: %s' % dshape, )
expected_fields = self._expected_fields
self._expr = bind_expression_to_resources(
expr[list(expected_fields)],
resources,
)
self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {}
self._dataset = dataset
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
def __init__(self,
expr,
resources=None,
odo_kwargs=None,
data_query_time=None,
data_query_tz=None,
dataset=default_dataset):
if dataset is None:
dataset = self.default_dataset
dshape = expr.dshape
if not istabular(dshape):
raise ValueError(
'expression dshape must be tabular, got: %s' % dshape,
)
expected_fields = self._expected_fields
self._expr = bind_expression_to_resources(
expr[list(expected_fields)],
resources,
)
self._odo_kwargs = odo_kwargs if odo_kwargs is not None else {}
self._dataset = dataset
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
def __init__(self,
dsmap=None,
data_query_time=None,
data_query_tz=None):
self.update(dsmap or {})
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
def __init__(self,
dsmap=None,
data_query_time=None,
data_query_tz=None):
self.update(dsmap or {})
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
def __init__(self,
dsmap=None,
data_query_time=None,
data_query_tz=None,
pool=SequentialPool()):
self.update(dsmap or {})
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
# explicitly public
self.pool = pool
def __init__(self,
dsmap=None,
data_query_time=None,
data_query_tz=None,
pool=SequentialPool()):
self.update(dsmap or {})
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
# explicitly public
self.pool = pool
def __init__(self,
dsmap=None,
data_query_time=None,
data_query_tz=None,
pool=SequentialPool()):
check_data_query_args(data_query_time, data_query_tz)
self._data_query_time = data_query_time
self._data_query_tz = data_query_tz
# explicitly public
self.pool = pool
self._table_expressions = (dsmap or {}).copy()
