code stringlengths 3 6.57k |
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os.path.join(d_out, _h, _v, _tag) |
os.path.join(d_ref, _h, _v, _tag) |
os.path.join(_d_out, '%s_met.txt' % _tag) |
os.path.join(_d_out, '%s_%s.tif' % (_tag, t) |
os.path.join(_d_ref, '%s_%s.tif' % (_tag, t) |
_fname('%s_n0%s' % (t, a) |
file_mag.get(_f_met) |
exists() |
logging.info('skip non-existing result for %s' % _tag) |
file_mag.get(_fname_m1('loss_year') |
exists() |
logging.info('skip non-existing result for %s' % _tag) |
if (not _ttt) |
file_mag.get(_fname_m1('esta_year') |
exists() |
config.getboolean('conf', 'over_write', False) |
logging.info('skip processed esta result for %s' % _tag) |
ge.open(_fname_m1('loss_year') |
get_band() |
cache() |
ge.open(_fname_m1('gain_year') |
get_band() |
cache() |
ge.open(_fname_m1('loss_prob') |
get_band() |
cache() |
ge.open(_fname_m1('gain_prob') |
get_band() |
cache() |
config.get('conf', 'latest_tcc') |
_load_tcc(_f_tcc, _b_loss_year) |
ge.open(_fname_ref('age_prob') |
get_band() |
cache() |
logging.info('forced to use age_prob layer %s' % _fname_ref('age_prob') |
ge.open(_fname_ref('age_prob') |
get_band() |
cache() |
np.zeros(_d_forest_prob.shape, dtype=np.uint8) |
np.empty(_d_forest_prob.shape, dtype=np.float32) |
_d_prob.fill(100) |
_b_loss_year.from_grid(_d_esta, nodata=255) |
ge.load_colortable(config.get('conf', 'color') |
range(1970, 2021) |
astype(np.uint8) |
_b_esta.from_grid(_d_test, nodata=255) |
mod_filter.filter_band_mmu(_b_test, area=config.getfloat('conf', 'min_patch') |
astype(np.uint8) |
_b_esta.from_grid(_d_test, nodata=255) |
mod_filter.filter_band_mmu(_b_test, area=config.getfloat('conf', 'min_patch') |
file_unzip.file_unzip() |
_zip.save(_b_esta, _fname_m1('esta_year') |
_zip.save(_b_esta.from_grid(_d_prob, nodata=-9999) |
_fname_m1('esta_prob') |
main(opts) |
config.get('conf', 'input') |
config.get('conf', 'refer', _d_inp) |
file_mag.get(os.path.join(_d_inp, 'tasks.txt') |
global_task.load(_f_mak) |
multi_task.run(_task, [(_t, os.path.join(_d_inp, 'data') |
os.path.join(_d_ref, 'data') |
multi_task.load(_ts, opts) |
print('processed', len([_r for _r in _rs if _r]) |
usage() |
environ_mag.usage(True) |
_p.add_argument('-i', '--input', dest='input') |
_p.add_argument('-r', '--refer', dest='refer') |
_p.add_argument('--latest-tcc', dest='latest_tcc') |
_p.add_argument('-w', '--over-write', dest='over_write', type='bool') |
_p.add_argument('--min-tcc', dest='min_tcc', type=int, default=30) |
_p.add_argument('-m', '--min-patch', dest='min_patch', type=float, default=100 * 100) |
_p.add_argument('--test-tile', dest='test_tile') |
environ_mag.init_path() |
environ_mag.run(main, [environ_mag.config(usage() |
get_now_with_tz() |
datetime (timezone aware) |
datetime.datetime.now(tz=datetime.timezone.utc) |
localize_datetime(obj: datetime.datetime) |
obj.astimezone() |
str(error) |
logging.getLogger(situation) |
join(traceback.format_tb(error.__traceback__) |
__init__(__self__, id=None, location=None, name=None, order_ids=None, system_data=None, tags=None, type=None) |
isinstance(id, str) |
TypeError("Expected argument 'id' to be a str") |
pulumi.set(__self__, "id", id) |
isinstance(location, str) |
TypeError("Expected argument 'location' to be a str") |
pulumi.set(__self__, "location", location) |
isinstance(name, str) |
TypeError("Expected argument 'name' to be a str") |
pulumi.set(__self__, "name", name) |
isinstance(order_ids, list) |
TypeError("Expected argument 'order_ids' to be a list") |
pulumi.set(__self__, "order_ids", order_ids) |
isinstance(system_data, dict) |
TypeError("Expected argument 'system_data' to be a dict") |
pulumi.set(__self__, "system_data", system_data) |
isinstance(tags, dict) |
TypeError("Expected argument 'tags' to be a dict") |
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