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#!/usr/bin/env python
#
# @license Apache-2.0
#
# Copyright (c) 2018 The Stdlib Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Generate fixtures."""
import os
import json
import numpy as np
# Get the file path:
FILE = os.path.realpath(__file__)
# Extract the directory in which this file resides:
DIR = os.path.dirname(FILE)
def gen(x, y, name):
"""Generate fixture data and write to file.
# Arguments
* `x`: domain
* `y`: domain
* `name::str`: filepath of the output file
# Examples
``` python
python> x = np.linspace(-100.0, 100.0, 1)
python> y = np.linspace(100.0, -100.0, 1)
python> gen(x, y, 'data.json')
```
"""
z = np.logaddexp(x, y)
# Store data to be written to file as a dictionary:
data = {
"x": x.tolist(),
"y": y.tolist(),
"expected": z.tolist()
}
# Based on the script directory, create an output filepath:
filepath = os.path.join(DIR, name)
# Write the data to the output filepath as JSON:
with open(filepath, "w") as outfile:
json.dump(data, outfile)
def main():
"""Generate fixture data."""
x = (np.random.random(1000) * 200.0) - 100.0
y = (np.random.random(1000) * 200.0) - 100.0
gen(x, y, "data.json")
if __name__ == "__main__":
main()
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