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# (C) Copyright 2017- ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
#
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernmental organisation
# nor does it submit to any jurisdiction.
import numpy as np
import metview as mv
def concat(*args):
if len(args) <= 1:
raise ValueError(f"concat requires at least 2 arguments, got only {len(args)}")
vals = list(args)
if vals[0] is None:
vals.pop(0)
if len(vals) == 1:
return vals[0]
# concatenate strings
if isinstance(vals[0], str):
return "".join([str(v) for v in vals])
elif isinstance(vals[0], np.ndarray):
return np.concatenate(vals)
elif isinstance(
vals[0],
(mv.Fieldset, mv.bindings.Geopoints, mv.bindings.GeopointSet, mv.bindings.Bufr),
):
return mv.merge(*vals)
elif isinstance(vals[0], list):
first = []
for v in vals:
if isinstance(v, list):
first.extend(v)
else:
first.append(v)
return first
raise ValueError(f"concat failed to handle the specified arguments={args}")
def index4(vals, start, stop, step, num):
"""
Return a boolean index ndarray to select a subset of elements from ``vals``.
Parameters
----------
vals: ndarray
Input array.
start: int
Start index.
stop: int
Stop index.
step: int
Step.
num: int
Number of elements to be selected for each step.
Returns
-------
ndarray
Boolean index array
Examples
--------
>>> import numpy as np
>>> import metview
>>> vals = np.array(list(range(12)))
>>> r = index4(vals, 0, 11, 4, 2)
[ True True True True True True False False False False False False]
a[]
>>> vals[r]
array([0, 1, 4, 5, 8, 9])
"""
num = min(num, step)
m = np.zeros(len(vals), dtype=bool)
for i in range(start, stop, step):
m[i : i + num] = 1
return m
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