def _test_main_review_error(self):
""" Run review feature without envvar set """
os.setenv('IMGCAT', None)
with self.assertRaises(ValueError):
scenes = main.main(date='2017-01-01',
satellite_name='Landsat-8',
review=True)
def main():
parser = ArgumentParser(description='MyRPG project launcher')
parser.add_argument('proj',
nargs=1,
help='Path to MyRPG project file',
required=True)
args = parser.parse_args()
if not os.path.exists(args.proj):
six.print_('Cannot find project:', args.proj, file=sys.stderr)
sys.exit(1)
try:
with open(args.proj) as f:
proj = json.load(f)
except IOError as err:
six.print_('Cannot open project:', err, file=sys.stderr)
sys.exit(1)
except ValueError as err:
six.print_('Cannot parse project:', err, file=sys.stderr)
sys.exit(1)
os.setenv('B3J0F_CONF_DIR', proj['directory'])
app = Application()
app.run()
def fix_env(self):
android_path = os.getenv('ANDROID_PRIVATE')
self._is_android = bool(android_path)
if not android_path:
return
os.setenv('HOME', android_path)
assert os.path.exists(android_path)
def runmd5(num):
global encoded
global stop
start = BASENUM * (int(num))
i = start
while i <= start * 10:
if os.getenv('runmd5') or stop:
break
if md5x(str(i))[0:6] == encoded:
print('DeCode : %d\n' % i)
os.setenv('runmd5', '1')
stop = True
return i
i += 1
return False
import glob, os, optparse
parser = optparse.OptionParser()
(options,args) = parser.parse_args()
runlevel = args[0]
scenarios = glob.glob('scenario*')
print('running model for')
print(scenarios)
print('with run level')
print(runlevel)
os.putenv('RUNLEVEL',runlevel)
os.setenv('HHSINMEM','0')
for s in scenarios:
print('running for '+s+'...')
os.chdir(s)
os.system(r'copy hwy\ ..\run\hwy')
os.system(r'copy trn\transit_lines\ ..run\trn')
os.system(r'copy trn\transit_fares\ ..run\trn')
os.system(r'copy trn\transit_support\ ..run\trn')
os.chdir(r'..\run')
if os.getenv('HHSINMEM') == '1':
os.system('runQuickModel')
print('calculating metrics...')
os.system('runMetrics')
print('copying metrics to scenario directory...')
os.system(r'copy metrics\ ..\'+s+r'\metrics\')
def create_interactive_env(d):
for k in preserved_envvars_exported_interactive():
os.setenv(k, bb.data.getVar(k, d, True))
def create_interactive_env(d):
for k in preserved_envvars_exported_interactive():
os.setenv(k, d.getVar(k, True))
To run these tests from the command line in a local VM, you'll need to:
> python selenium_tests/regression_suite.py
"""
import os
import sys
import time
import unittest
from django.conf import settings
# set up PYTHONPATH and DJANGO_SETTINGS_MODULE. icky, but necessary
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
if not os.getenv('DJANGO_SETTINGS_MODULE'):
os.setenv('DJANGO_SETTINGS_MODULE', 'canvas_course_info.settings.local')
# developing test cases is easier with text test runner, lets us drop into pdb
if settings.SELENIUM_CONFIG.get('use_htmlrunner', True):
import HTMLTestRunner
dateTimeStamp = time.strftime('%Y%m%d_%H_%M_%S')
buf = file("TestReport" + "_" + dateTimeStamp + ".html", 'wb')
runner = HTMLTestRunner.HTMLTestRunner(
stream=buf,
title='Test the Report',
description='Result of tests'
)
else:
import logging; logging.basicConfig(level=logging.DEBUG)
runner = unittest.TextTestRunner()
import aicrowd_helpers
import time
import traceback
import glob
import os
import json
"""
Expected ENVIRONMENT Variables
* AICROWD_TEST_IMAGES_PATH : abs path to folder containing all the test images
* AICROWD_PREDICTIONS_OUTPUT_PATH : path where you are supposed to write the output predictions.csv
"""
AICROWD_TEST_IMAGES_PATH = os.setenv('AICROWD_TEST_IMAGES_PATH', 'data/round1')
AICROWD_PREDICTIONS_OUTPUT_PATH = os.setenv('AICROWD_PREDICTIONS_OUTPUT_PATH', 'random_prediction.csv')
def gather_images(test_images_path):
images = glob.glob(os.path.join(
test_images_path, "*.jpg"
))
return images
def gather_image_names(test_images_path):
images = gather_images(test_images_path)
image_names = [os.path.basename(image_path) for image_path in images]
return image_names
def get_image_path(image_name):
test_images_path = os.getenv("AICROWD_TEST_IMAGES_PATH", False)
def multi_cpu(func, job_queue, cpu_num=1, thread_num=1, timeout=None):
multicpu_instance = Multicpu(cpu_num, thread_num)
return multicpu_instance._multi_cpu(func, job_queue, timeout)
def runmd5(num):
global encoded
global stop
start = BASENUM * (int(num))
i = start
while i <= start * 10:
if os.getenv('runmd5') or stop:
break
if md5x(str(i))[0:6] == encoded:
print('DeCode : %d\n' % i)
os.setenv('runmd5', '1')
stop = True
return i
i += 1
return False
if __name__ == '__main__':
global encoded
encoded = raw_input('code : ')
while encoded:
os.setenv('runmd5', '0')
print('Runing... %s' % encoded)
m = multi_cpu(runmd5, [i for i in range(1, 100)], 5, 10)
print(m)
encoded = raw_input('code : ')
"""
Copyright (c) 2013 Sébastien QUIOC
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
import os
import os.path
import sys
paths = set(os.getenv("PATH","").split(os.path.pathsep))
for path_file in sys.argv[1:]:
with open(path_file) as f:
for path in f.readlines():
paths.add(path.strip())
os.setenv("PATH", os.path.pathsep.join(paths))
