def setUpClass(self):
self.lats = np.array([10, 12, 14, 16, 18])
self.lons = np.array([100, 102, 104, 106, 108])
self.times = np.array([dt.datetime(2000, x, 1) for x in range(1, 13)])
flat_array = np.array(range(300))
self.values = flat_array.reshape(12, 5, 5)
self.variable = 'var'
self.units = 'units'
self.origin = {
'source': 'local',
'path': '/a/fake/path.nc',
'lat_name': 'a lat name',
'lon_name': 'a lon name',
'time_name': 'a time name',
'elevation_index': 2
}
self.name = 'name'
self.dataset = Dataset(
self.lats,
self.lons,
self.times,
self.values,
variable=self.variable,
units=self.units,
origin=self.origin,
name=self.name
)
self.exported_info = writer.generate_dataset_config(self.dataset)
def setUpClass(self):
self.lats = np.array([10, 12, 14, 16, 18])
self.lons = np.array([100, 102, 104, 106, 108])
self.times = np.array([dt.datetime(2000, x, 1) for x in range(1, 13)])
flat_array = np.array(range(300))
self.values = flat_array.reshape(12, 5, 5)
self.variable = 'var'
self.units = 'units'
self.origin = {
'source': 'dap',
'url': 'a fake url',
}
self.name = 'name'
self.dataset = Dataset(
self.lats,
self.lons,
self.times,
self.values,
variable=self.variable,
units=self.units,
origin=self.origin,
name=self.name
)
self.exported_info = writer.generate_dataset_config(self.dataset)
def setUpClass(self):
self.lats = np.array([10, 12, 14, 16, 18])
self.lons = np.array([100, 102, 104, 106, 108])
self.times = np.array([dt.datetime(2000, x, 1) for x in range(1, 13)])
flat_array = np.array(range(300))
self.values = flat_array.reshape(12, 5, 5)
self.variable = 'var'
self.units = 'units'
self.origin = {
'source': 'local',
'path': '/a/fake/path.nc',
'lat_name': 'a lat name',
'lon_name': 'a lon name',
'time_name': 'a time name',
'elevation_index': 2
}
self.name = 'name'
self.dataset = Dataset(self.lats,
self.lons,
self.times,
self.values,
variable=self.variable,
units=self.units,
origin=self.origin,
name=self.name)
self.exported_info = writer.generate_dataset_config(self.dataset)
def setUpClass(self):
self.lats = np.array([10, 12, 14, 16, 18])
self.lons = np.array([100, 102, 104, 106, 108])
self.times = np.array([dt.datetime(2000, x, 1) for x in range(1, 13)])
flat_array = np.array(range(300))
self.values = flat_array.reshape(12, 5, 5)
self.variable = 'var'
self.units = 'units'
self.origin = {
'source': 'esgf',
'dataset_id': 'esgf dataset id',
'variable': 'var'
}
self.name = 'name'
self.dataset = Dataset(self.lats,
self.lons,
self.times,
self.values,
variable=self.variable,
units=self.units,
origin=self.origin,
name=self.name)
self.exported_info = writer.generate_dataset_config(self.dataset)
def setUpClass(self):
self.lats = np.array([10, 12, 14, 16, 18])
self.lons = np.array([100, 102, 104, 106, 108])
self.times = np.array([dt.datetime(2000, x, 1) for x in range(1, 13)])
flat_array = np.array(range(300))
self.values = flat_array.reshape(12, 5, 5)
self.variable = "var"
self.units = "units"
self.origin = {
"source": "local",
"path": "/a/fake/path.nc",
"lat_name": "a lat name",
"lon_name": "a lon name",
"time_name": "a time name",
"elevation_index": 2,
}
self.name = "name"
self.dataset = Dataset(
self.lats,
self.lons,
self.times,
self.values,
variable=self.variable,
units=self.units,
origin=self.origin,
name=self.name,
)
self.exported_info = writer.generate_dataset_config(self.dataset)
def setUpClass(self):
self.lats = np.array([10, 12, 14, 16, 18])
self.lons = np.array([100, 102, 104, 106, 108])
self.times = np.array([dt.datetime(2000, x, 1) for x in range(1, 13)])
flat_array = np.array(range(300))
self.values = flat_array.reshape(12, 5, 5)
self.variable = "var"
self.units = "units"
self.origin = {"source": "rcmed", "dataset_id": 4, "parameter_id": 14}
self.name = "name"
self.dataset = Dataset(
self.lats,
self.lons,
self.times,
self.values,
variable=self.variable,
units=self.units,
origin=self.origin,
name=self.name,
)
self.exported_info = writer.generate_dataset_config(self.dataset)
