hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
08778c51cd6edfb51e0f78f3cbae06fefbe9e517 | 235 | py | Python | course-2:combining-building-blocks/subject-2:functions/topic-2:Functions calling functions/lesson-1:Functions calling functions.py | regnart-tech-club/python | 069df070059de662d4104de8192e45407a7e94ce | [
"Apache-2.0"
] | null | null | null | course-2:combining-building-blocks/subject-2:functions/topic-2:Functions calling functions/lesson-1:Functions calling functions.py | regnart-tech-club/python | 069df070059de662d4104de8192e45407a7e94ce | [
"Apache-2.0"
] | null | null | null | course-2:combining-building-blocks/subject-2:functions/topic-2:Functions calling functions/lesson-1:Functions calling functions.py | regnart-tech-club/python | 069df070059de662d4104de8192e45407a7e94ce | [
"Apache-2.0"
] | 1 | 2016-04-03T00:53:37.000Z | 2016-04-03T00:53:37.000Z | def square(x):
return x * x
def add_squares(x, y):
return square(x) + square(y)
# TODO: Talk about the call stack and memory as it pertains to parameters
print(add_squares(3, 4))
print(add_squares(5, 12))
print(add_squares(8, 15))
| 21.363636 | 73 | 0.714894 | 44 | 235 | 3.727273 | 0.613636 | 0.243902 | 0.27439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040404 | 0.157447 | 235 | 10 | 74 | 23.5 | 0.787879 | 0.302128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 0 | 1 | 0.285714 | false | 0 | 0 | 0.285714 | 0.571429 | 0.428571 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 |
08837363b54ac2ff124fe55135dbe0b25373bf3d | 136 | py | Python | stage_0_Ravindran.py | jravimicro/team-rosalind-project | 4700ef6722c909ce9f5c48d4008ddaaf29d47d46 | [
"MIT"
] | null | null | null | stage_0_Ravindran.py | jravimicro/team-rosalind-project | 4700ef6722c909ce9f5c48d4008ddaaf29d47d46 | [
"MIT"
] | null | null | null | stage_0_Ravindran.py | jravimicro/team-rosalind-project | 4700ef6722c909ce9f5c48d4008ddaaf29d47d46 | [
"MIT"
] | null | null | null | print("NAME: Ravindran \nEMAIL: jravimicro@gmail.com \nBIOSTACK: Drug Development \nUSED LANGUAGE: Python \nSLACK USERNAME: @Ravi")
| 45.333333 | 131 | 0.757353 | 16 | 136 | 6.4375 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 136 | 2 | 132 | 68 | 0.865546 | 0 | 0 | 0 | 0 | 1 | 0.897059 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
3ebee8d9c9c194aa06f67cfc6419ce9cd7b49f13 | 13,754 | py | Python | client/tests/test-sleep-mode.py | tommccallum/smartbot | 7241aa80a8dfa1f67e411c9000d65addd81ebd3f | [
"MIT"
] | 1 | 2021-01-27T11:18:54.000Z | 2021-01-27T11:18:54.000Z | client/tests/test-sleep-mode.py | tommccallum/smartbot | 7241aa80a8dfa1f67e411c9000d65addd81ebd3f | [
"MIT"
] | null | null | null | client/tests/test-sleep-mode.py | tommccallum/smartbot | 7241aa80a8dfa1f67e411c9000d65addd81ebd3f | [
"MIT"
] | null | null | null | import unittest
import os
import sys
from unittest.mock import patch
import datetime
from freezegun import freeze_time
sys.path.insert(0, os.path.join(os.path.dirname(__file__),"../src"))
CURDIR=os.path.abspath(os.path.dirname(__file__))
from sleep_mode import SleepMode
from event import Event, EventEnum
import globalvars
from app_state import AppState
class TestSleepMode(unittest.TestCase):
def create_instance(self):
test_config = os.path.join(CURDIR, "test_conf_simple", "config.json")
globalvars.app_state = AppState.create_from_file(test_config)
p = globalvars.app_state.personality
p.json["sleep"] = {
"enabled": True,
"begin": {
"hard": "09:00",
"soft": "09:30"
},
"end": "11:40",
"on_end": "Live Radio",
"phrases": ["Its only %T, go back to sleep Innogen.",
"Its not quite morning Innogen, go back to sleep",
"Its really early Innogen, go back to sleep"
]
}
sm = SleepMode(globalvars.app_state)
return sm
def setUp(self) -> None:
pass
def test_has_sleep_mode(self):
sm = self.create_instance()
self.assertTrue(sm.has_sleep_mode())
def test_is_sleep_mode_enabled(self):
sm = self.create_instance()
self.assertTrue(sm.has_sleep_mode())
def test_get_hard_sleep_time(self):
sm = self.create_instance()
self.assertEqual("09:00", sm.get_hard_sleep_time())
def test_get_soft_sleep_time(self):
sm = self.create_instance()
self.assertEqual("09:30", sm.get_soft_sleep_time())
def test_get_end_sleep_time(self):
sm = self.create_instance()
self.assertEqual("11:40", sm.get_end_sleep_time())
def test_get_on_end_sleep_time(self):
sm = self.create_instance()
self.assertEqual("Live Radio", sm.get_on_end_sleep_action())
def test_check_sleep_spec_is_valid(self):
sm = self.create_instance()
self.assertTrue(sm.check_sleep_spec_is_valid())
def test_check_sleep_spec_is_valid_missing_hard_time(self):
sm = self.create_instance()
saved = sm.json["begin"]["hard"]
del sm.json["begin"]["hard"]
self.assertTrue(sm.check_sleep_spec_is_valid)
sm.json["begin"]["hard"] = saved
def test_check_sleep_spec_is_invalid_missing_begin(self):
sm = self.create_instance()
saved = sm.json["begin"]
del sm.json["begin"]
self.assertRaises(ValueError, sm.check_sleep_spec_is_valid)
sm.json["begin"] = saved
def test_check_sleep_spec_is_invalid_missing_end_time(self):
sm = self.create_instance()
saved = sm.json["end"]
del sm.json["end"]
self.assertRaises(ValueError, sm.check_sleep_spec_is_valid)
sm.json["end"] = saved
def test_check_sleep_spec_is_invalid_missing_on_end_action(self):
sm = self.create_instance()
saved = sm.json["on_end"]
del sm.json["on_end"]
self.assertRaises(ValueError, sm.check_sleep_spec_is_valid)
sm.json["on_end"] = saved
def test_get_today_as_string(self):
sm = self.create_instance()
with freeze_time("2020-07-03 05:00:00"):
self.assertEqual("2020-07-03", sm.get_today_as_string())
def test_get_hard_sleep_as_datetime(self):
sm = self.create_instance()
with freeze_time("2020-07-03 05:00:00"):
self.assertEqual(datetime.datetime(2020,7,3,9,0,0), sm._get_hard_sleep_as_datetime())
def test_get_soft_sleep_as_datetime(self):
sm = self.create_instance()
with freeze_time("2020-07-03 05:00:00"):
self.assertEqual(datetime.datetime(2020,7,3,9,30,0), sm._get_soft_sleep_as_datetime())
def test_get_earliest_start(self):
sm = self.create_instance()
with freeze_time("2020-07-03 05:00:00"):
self.assertEqual(datetime.datetime(2020,7,3,9,0,0), sm.get_earliest_start())
def test_get_latest_start(self):
sm = self.create_instance()
with freeze_time("2020-07-03 05:00:00"):
self.assertEqual(datetime.datetime(2020, 7, 3, 9, 30, 0), sm.get_latest_start())
def test_get_earliest_start_missing_soft(self):
sm = self.create_instance()
del sm.json["begin"]["soft"]
with freeze_time("2020-07-03 05:00:00"):
self.assertEqual(datetime.datetime(2020,7,3,9,0,0), sm.get_earliest_start())
sm.json["begin"]["soft"] = "09:00"
def test_get_end_sleep_as_datetime(self):
sm = self.create_instance()
with freeze_time("2020-07-03 05:00:00"):
self.assertEqual(datetime.datetime(2020,7,3,11,40,0), sm.get_end_sleep_as_datetime())
def test_setup_sleep_timings_same_day_set_before_asleep(self):
sm = self.create_instance()
with freeze_time("2020-07-03 05:00:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 3, 9, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 3, 9, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,3,11,40,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_same_day_set_after_waking(self):
sm = self.create_instance()
with freeze_time("2020-07-03 11:41:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 4, 9, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 4, 9, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,4,11,40,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_same_day_set_while_asleep(self):
sm = self.create_instance()
with freeze_time("2020-07-03 10:41:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 3, 9, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 3, 9, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,3,11,40,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_same_day_set_equal_to_waking(self):
sm = self.create_instance()
with freeze_time("2020-07-03 11:40:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 3, 9, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 3, 9, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,3,11,40,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_same_day_set_equal_to_waking_after(self):
sm = self.create_instance()
with freeze_time("2020-07-03 11:41:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7,4, 9, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 4, 9, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,4,11,40,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_next_day_set_before_asleep(self):
sm = self.create_instance()
sm.json["begin"] = { "soft": "21:00", "hard":"21:30" }
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 09:00:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 3, 21, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 3, 21, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,4,8,0,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_next_day_set_after_waking(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] ="08:00"
with freeze_time("2020-07-03 08:01:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 3, 21, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 3, 21, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,4,8,0,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_next_day_set_while_asleep(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 23:41:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 3, 21, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 3, 21, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,4,8,0,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_next_day_set_while_asleep_early_am(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 02:41:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 2, 21, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 2, 21, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,3,8,0,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_next_day_set_equal_to_wakeup_early_am(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 08:00:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 2, 21, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 2, 21, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,3,8,0,0), sm.end_sleep_datetime)
def test_setup_sleep_timings_next_day_set_equal_to_wakeup_after(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 08:01:00"):
sm.setup_sleep_timings()
self.assertEqual(datetime.datetime(2020, 7, 3, 21, 0, 0), sm.soft_sleep_datetime)
self.assertEqual(datetime.datetime(2020, 7, 3, 21, 30, 0), sm.hard_sleep_datetime)
self.assertEqual(datetime.datetime(2020,7,4,8,0,0), sm.end_sleep_datetime)
def test_is_ready_to_wake_up_is_true(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 08:00:00"):
sm.setup_sleep_timings()
self.assertTrue(sm.is_ready_to_wake_up())
def test_is_ready_to_wake_up_too_early_on_same_day(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 07:59:00"):
sm.setup_sleep_timings()
self.assertFalse(sm.is_ready_to_wake_up())
def test_is_ready_to_wake_up_too_early_on_day_before(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 23:59:00"):
sm.setup_sleep_timings()
self.assertFalse(sm.is_ready_to_wake_up())
def test_is_ready_to_wake_up_after(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 08:01:00"):
sm.setup_sleep_timings()
self.assertFalse(sm.is_ready_to_wake_up())
def test_is_ready_to_sleep_at_soft(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 21:00:00"):
sm.setup_sleep_timings()
result = sm.is_ready_to_sleep()
self.assertEqual(result.id, EventEnum.ENTER_SLEEP_IF_ABLE)
def test_is_ready_to_sleep_after_soft(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 21:15:00"):
sm.setup_sleep_timings()
result = sm.is_ready_to_sleep()
self.assertEqual(result.id, EventEnum.ENTER_SLEEP_IF_ABLE)
def test_is_ready_to_sleep_at_hard(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 21:30:00"):
sm.setup_sleep_timings()
result = sm.is_ready_to_sleep()
self.assertEqual(result.id, EventEnum.ENTER_SLEEP_NOW)
def test_is_ready_to_sleep_after_hard(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 21:31:00"):
sm.setup_sleep_timings()
result = sm.is_ready_to_sleep()
self.assertEqual(result.id, EventEnum.ENTER_SLEEP_NOW)
def test_is_ready_to_sleep_after_end(self):
sm = self.create_instance()
sm.json["begin"] = {"soft": "21:00", "hard": "21:30"}
sm.json["end"] = "08:00"
with freeze_time("2020-07-03 08:00:00"):
sm.setup_sleep_timings()
self.assertFalse(sm.is_ready_to_sleep())
if __name__ == '__main__':
unittest.main()
| 43.388013 | 98 | 0.634143 | 2,017 | 13,754 | 4.048091 | 0.071393 | 0.088181 | 0.109859 | 0.148071 | 0.8703 | 0.846295 | 0.835885 | 0.825475 | 0.812002 | 0.767544 | 0 | 0.092257 | 0.225316 | 13,754 | 316 | 99 | 43.525316 | 0.67405 | 0 | 0 | 0.580524 | 0 | 0 | 0.097354 | 0 | 0 | 0 | 0 | 0 | 0.224719 | 1 | 0.149813 | false | 0.003745 | 0.037453 | 0 | 0.194757 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
3ee8086b6d3dc7a3eaaf86d37b0425492c50f4a9 | 1,191 | py | Python | tests/test_view_ui_methods.py | donghak-shin/dp-tornado | 095bb293661af35cce5f917d8a2228d273489496 | [
"MIT"
] | 18 | 2015-04-07T14:28:39.000Z | 2020-02-08T14:03:38.000Z | tests/test_view_ui_methods.py | donghak-shin/dp-tornado | 095bb293661af35cce5f917d8a2228d273489496 | [
"MIT"
] | 7 | 2016-10-05T05:14:06.000Z | 2021-05-20T02:07:22.000Z | tests/test_view_ui_methods.py | donghak-shin/dp-tornado | 095bb293661af35cce5f917d8a2228d273489496 | [
"MIT"
] | 11 | 2015-12-15T09:49:39.000Z | 2021-09-06T18:38:21.000Z | # -*- coding: utf-8 -*-
from . import utils
def engine():
utils.expecting_text('get', '/view/ui_methods/engine', None, 200)
def yyyymmdd():
utils.expecting_text('get', '/view/ui_methods/yyyymmdd', None, 200)
def mmdd():
utils.expecting_text('get', '/view/ui_methods/mmdd', None, 200)
def hhiiss():
utils.expecting_text('get', '/view/ui_methods/hhiiss', None, 200)
def hhii():
utils.expecting_text('get', '/view/ui_methods/hhii', None, 200)
def weekday():
utils.expecting_text('get', '/view/ui_methods/weekday', None, 200)
def get():
utils.expecting_text('get', '/view/ui_methods/get', None, 200)
def get_with_param():
utils.expecting_text('get', '/view/ui_methods/get?p2=test', None, 200)
def nl2br():
utils.expecting_text('get', '/view/ui_methods/nl2br', None, 200)
def number_format():
utils.expecting_text('get', '/view/ui_methods/number_format', None, 200)
def request_uri():
utils.expecting_text('get', '/view/ui_methods/request_uri', None, 200)
def trim():
utils.expecting_text('get', '/view/ui_methods/trim', None, 200)
def truncate():
utils.expecting_text('get', '/view/ui_methods/truncate', None, 200)
| 20.894737 | 76 | 0.675063 | 170 | 1,191 | 4.541176 | 0.188235 | 0.235751 | 0.303109 | 0.353627 | 0.580311 | 0.580311 | 0.580311 | 0.095855 | 0 | 0 | 0 | 0.041992 | 0.140218 | 1,191 | 56 | 77 | 21.267857 | 0.711914 | 0.017632 | 0 | 0 | 0 | 0 | 0.299658 | 0.249144 | 0 | 0 | 0 | 0 | 0 | 1 | 0.481481 | true | 0 | 0.037037 | 0 | 0.518519 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
4119a4d92d07c18136e24f6a478be45a5316cb6f | 37 | py | Python | HCmd/commander/__init__.py | sarahswinton/asdp4_hornet | a509168d7bca9070d96baaac3b60d623755aa692 | [
"Unlicense"
] | null | null | null | HCmd/commander/__init__.py | sarahswinton/asdp4_hornet | a509168d7bca9070d96baaac3b60d623755aa692 | [
"Unlicense"
] | null | null | null | HCmd/commander/__init__.py | sarahswinton/asdp4_hornet | a509168d7bca9070d96baaac3b60d623755aa692 | [
"Unlicense"
] | null | null | null | from .commander import CommanderCmd
| 18.5 | 36 | 0.837838 | 4 | 37 | 7.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 37 | 1 | 37 | 37 | 0.96875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
4121fdce8c07d45cfba7d617f22dcf9b4ae3d96b | 77 | py | Python | Retired/Retired 3.py | mwk0408/codewars_solutions | 9b4f502b5f159e68024d494e19a96a226acad5e5 | [
"MIT"
] | 6 | 2020-09-03T09:32:25.000Z | 2020-12-07T04:10:01.000Z | Retired/Retired 3.py | mwk0408/codewars_solutions | 9b4f502b5f159e68024d494e19a96a226acad5e5 | [
"MIT"
] | 1 | 2021-12-13T15:30:21.000Z | 2021-12-13T15:30:21.000Z | Retired/Retired 3.py | mwk0408/codewars_solutions | 9b4f502b5f159e68024d494e19a96a226acad5e5 | [
"MIT"
] | null | null | null | def power(power_exponent, exponent):
return pow(exponent, power_exponent) | 38.5 | 40 | 0.792208 | 10 | 77 | 5.9 | 0.5 | 0.440678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116883 | 77 | 2 | 40 | 38.5 | 0.867647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
eb14fc0e33d759cf2987b2f77cac9597453ec6f3 | 11,873 | py | Python | backend/modules/instructions.py | crowdbotics-apps/test-33024 | 09ff5fe2740de7d38aced0309cba713511e7482e | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/modules/instructions.py | crowdbotics-apps/test-33024 | 09ff5fe2740de7d38aced0309cba713511e7482e | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/modules/instructions.py | crowdbotics-apps/test-33024 | 09ff5fe2740de7d38aced0309cba713511e7482e | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | from django.db import models
from django.utils.translation import ugettext_lazy as _
class InstructionBTWBus(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for BTW BUS'
verbose_name_plural = 'Instructions for BTW BUS'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_btw_bus_db_field_unique'
)
]
class InstructionBTWClassA(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for BTW Class A'
verbose_name_plural = 'Instructions for BTW Class A'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_btw_class_a_db_field_unique'
)
]
class InstructionBTWClassB(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for BTW Class B'
verbose_name_plural = 'Instructions for BTW Class B'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_btw_class_b_db_field_unique'
)
]
class InstructionBTWClassC(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for BTW Class C'
verbose_name_plural = 'Instructions for BTW Class C'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_btw_class_c_db_field_unique'
)
]
# Instructions for BTW Class C
class InstructionBTWClassP(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for BTW Class P'
verbose_name_plural = 'Instructions for BTW Class P'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_btw_class_p_db_field_unique'
)
]
# pretrips
class InstructionPreTripBus(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for PreTrip BUS'
verbose_name_plural = 'Instructions for PreTrip Bus'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_pretrip_bus_db_field_unique'
)
]
class InstructionPreTripClassA(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for PreTrip Class A'
verbose_name_plural = 'Instructions for PreTrip Class A'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_pretrip_class_a_db_field_unique'
)
]
class InstructionPreTripClassB(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for PreTrip Class B'
verbose_name_plural = 'Instructions for PreTrip Class B'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_pretrip_class_b_db_field_unique'
)
]
class InstructionPreTripClassC(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for PreTrip Class C'
verbose_name_plural = 'Instructions for PreTrip Class C'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_pretrip_class_c_db_field_unique'
)
]
# class P
class InstructionPreTripClassP(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
instruction = models.TextField()
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for PreTrip Class P'
verbose_name_plural = 'Instructions for PreTrip Class P'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_pretrip_class_p_db_field_unique'
)
]
# vrt
class InstructionVRT(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for VRT'
verbose_name_plural = 'Instructions for VRT'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_pretrip_vrt_db_field_unique'
)
]
# SWP
class InstructionSWP(models.Model):
db_table = models.CharField(_('DB Table'), max_length=250, default=None, null=True, blank=False)
instruction = models.TextField()
field_name = models.CharField(_('Field Name'), max_length=250, default=None, null=False,
help_text='Type/select field name underscore and without any space matched with db '
'field')
def __unicode__(self):
return '%s' % self.pk
def __str__(self):
return '%s' % self.field_name
class Meta:
ordering = ('field_name',)
verbose_name = 'Instruction for SWP'
verbose_name_plural = 'Instructions for SWP'
constraints = [
models.UniqueConstraint(
fields=['db_table', 'field_name'], condition=models.Q(db_table__isnull=False),
name='instruction_swp_db_field_unique'
)
]
| 36.872671 | 118 | 0.60187 | 1,302 | 11,873 | 5.205069 | 0.061444 | 0.095618 | 0.042497 | 0.067286 | 0.936255 | 0.908809 | 0.88579 | 0.840933 | 0.840933 | 0.840933 | 0 | 0.008643 | 0.298408 | 11,873 | 321 | 119 | 36.987539 | 0.804922 | 0.004464 | 0 | 0.694215 | 0 | 0 | 0.224141 | 0.039953 | 0 | 0 | 0 | 0 | 0 | 1 | 0.099174 | false | 0 | 0.008264 | 0.099174 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
eb19f7cb41e3ee755ec4e8da0c8ca935da0047ae | 571 | py | Python | chapter 6/sampleCode3.py | DTAIEB/Thoughtful-Data-Science | 8b80e8f3e33b6fdc6672ecee1f27e0b983b28241 | [
"Apache-2.0"
] | 15 | 2018-06-01T19:18:32.000Z | 2021-11-28T03:31:35.000Z | chapter 6/sampleCode3.py | chshychen/Thoughtful-Data-Science | 8b80e8f3e33b6fdc6672ecee1f27e0b983b28241 | [
"Apache-2.0"
] | 1 | 2018-12-17T02:01:42.000Z | 2018-12-17T02:01:42.000Z | chapter 6/sampleCode3.py | chshychen/Thoughtful-Data-Science | 8b80e8f3e33b6fdc6672ecee1f27e0b983b28241 | [
"Apache-2.0"
] | 10 | 2018-09-16T06:06:57.000Z | 2021-06-29T05:49:18.000Z | def input_fn(features, labels, batch_size, train):
# Convert the inputs to a Dataset and shuffle.
dataset = tf.data.Dataset.from_tensor_slices((dict(features), labels)).shuffle(1000)
if train:
#repeat only for training
dataset = dataset.repeat()
# Return the dataset in batch
return dataset.batch(batch_size)
def train_input_fn(features, labels, batch_size):
return input_fn(features, labels, batch_size, train=True)
def eval_input_fn(features, labels, batch_size):
return input_fn(features, labels, batch_size, train=False)
| 38.066667 | 88 | 0.732049 | 81 | 571 | 4.975309 | 0.407407 | 0.208437 | 0.186104 | 0.260546 | 0.439206 | 0.439206 | 0.439206 | 0.352357 | 0.352357 | 0.352357 | 0 | 0.008475 | 0.17338 | 571 | 14 | 89 | 40.785714 | 0.845339 | 0.168126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.222222 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
debe7b2d6f6f6a2e72892d0b6cf377d935851ff5 | 5,617 | py | Python | tests/test_allow.py | nobody-65534/click-constrained-option | db9d3cbcf551b888cf4f38717d864a9c1e4568a9 | [
"BSD-3-Clause"
] | null | null | null | tests/test_allow.py | nobody-65534/click-constrained-option | db9d3cbcf551b888cf4f38717d864a9c1e4568a9 | [
"BSD-3-Clause"
] | null | null | null | tests/test_allow.py | nobody-65534/click-constrained-option | db9d3cbcf551b888cf4f38717d864a9c1e4568a9 | [
"BSD-3-Clause"
] | null | null | null | import unittest
import click
from click.testing import CliRunner
from click_constrained_option import ConstrainedOption
class TestAllow(unittest.TestCase):
def test_allowed_func(self):
@click.command()
@click.option("--a")
@click.option("--b", cls=ConstrainedOption, allowed_func=lambda a: a == '0')
def cli(**kwargs):
click.echo(kwargs)
runner = CliRunner()
result = runner.invoke(cli, ["--a=0", "--b=1"])
self.assertEqual(result.exit_code, 0)
self.assertDictEqual({'a': '0', 'b': '1'}, eval(result.output))
result = runner.invoke(cli, ["--a=1", "--b=1"])
self.assertNotEqual(result.exit_code, 0)
self.assertIn("validation failed", result.output)
def test_allowed_if(self):
@click.command()
@click.option("--a")
@click.option("--b", cls=ConstrainedOption, allowed_if="a")
@click.option("--c")
def cli(**kwargs):
click.echo(kwargs)
runner = CliRunner()
result = runner.invoke(cli, ["--a=0", "--b=1"])
self.assertEqual(result.exit_code, 0)
self.assertDictEqual({'a': '0', 'b': '1', 'c': None}, eval(result.output))
result = runner.invoke(cli, ["--b=0", "--c=1"])
self.assertNotEqual(result.exit_code, 0)
self.assertIn("require '--a'", result.output)
def test_allowed_if_not(self):
@click.command()
@click.option("--a")
@click.option("--b", cls=ConstrainedOption, allowed_if_not="a")
@click.option("--c")
def cli(**kwargs):
click.echo(kwargs)
runner = CliRunner()
result = runner.invoke(cli, ["--b=0", "--c=1"])
self.assertEqual(result.exit_code, 0)
self.assertDictEqual({'a': None, 'b': '0', 'c': '1'}, eval(result.output))
result = runner.invoke(cli, ["--a=0", "--b=1"])
self.assertNotEqual(result.exit_code, 0)
self.assertIn("conflict with '--a'", result.output)
def test_allowed_if_all_of(self):
@click.command()
@click.option("--a")
@click.option("--b")
@click.option("--c", cls=ConstrainedOption, allowed_if_all_of=["a", "b"])
def cli(**kwargs):
click.echo(kwargs)
runner = CliRunner()
result = runner.invoke(cli, ["--a=0", "--b=1", "--c=2"])
self.assertEqual(result.exit_code, 0)
self.assertDictEqual({'a': '0', 'b': '1', 'c': '2'}, eval(result.output))
result = runner.invoke(cli, ["--a=0", "--c=1"])
self.assertNotEqual(result.exit_code, 0)
self.assertIn("require all of '--a' '--b'", result.output)
def test_allowed_if_none_of(self):
@click.command()
@click.option("--a")
@click.option("--b")
@click.option("--c", cls=ConstrainedOption, allowed_if_none_of=["a", "b"])
def cli(**kwargs):
click.echo(kwargs)
runner = CliRunner()
result = runner.invoke(cli, ["--c=0"])
self.assertEqual(result.exit_code, 0)
self.assertDictEqual({'a': None, 'b': None, 'c': '0'}, eval(result.output))
result = runner.invoke(cli, ["--a=0", "--c=1"])
self.assertNotEqual(result.exit_code, 0)
self.assertIn("conflict with '--a' '--b'", result.output)
def test_allowed_if_any_of(self):
@click.command()
@click.option("--a")
@click.option("--b")
@click.option("--c", cls=ConstrainedOption, allowed_if_any_of=["a", "b"])
def cli(**kwargs):
click.echo(kwargs)
runner = CliRunner()
result = runner.invoke(cli, ["--a=0", "--c=1"])
self.assertEqual(result.exit_code, 0)
self.assertDictEqual({'a': '0', 'b': None, 'c': '1'}, eval(result.output))
result = runner.invoke(cli, ["--c=0"])
self.assertNotEqual(result.exit_code, 0)
self.assertIn("require at least one of '--a' '--b'", result.output)
def test_allowed_if_one_of(self):
@click.command()
@click.option("--a")
@click.option("--b")
@click.option("--c", cls=ConstrainedOption, allowed_if_one_of=["a", "b"])
def cli(**kwargs):
click.echo(kwargs)
runner = CliRunner()
result = runner.invoke(cli, ["--a=0", "--c=1"])
self.assertEqual(result.exit_code, 0)
self.assertDictEqual({'a': '0', 'b': None, 'c': '1'}, eval(result.output))
result = runner.invoke(cli, ["--a=0", "--b=1", "--c=2"])
self.assertNotEqual(result.exit_code, 0)
self.assertIn("require exact one of '--a' '--b'", result.output)
result = runner.invoke(cli, ["--c=0"])
self.assertNotEqual(result.exit_code, 0)
self.assertIn("require exact one of '--a' '--b'", result.output)
def test_composition(self):
@click.command()
@click.option("--a")
@click.option("--b")
@click.option("--c")
@click.option("--d")
@click.option("--e", cls=ConstrainedOption, allowed_if="a", allowed_if_not="b", allowed_if_one_of=["c", "d"])
def cli(**kwargs):
click.echo(kwargs)
runner = CliRunner()
result = runner.invoke(cli, ["--a=0", "--c=1", "--e=2"])
self.assertEqual(result.exit_code, 0)
self.assertDictEqual({'a': '0', 'b': None, 'c': '1', 'd': None, 'e': '2'}, eval(result.output))
result = runner.invoke(cli, ["--a=0", "--b=1", "--e=2"])
self.assertNotEqual(result.exit_code, 0)
self.assertIn("conflict with '--b'", result.output)
if __name__ == '__main__':
unittest.main()
| 34.67284 | 117 | 0.556881 | 697 | 5,617 | 4.38307 | 0.086083 | 0.090016 | 0.100164 | 0.116858 | 0.887725 | 0.877905 | 0.86874 | 0.84419 | 0.831424 | 0.79018 | 0 | 0.016359 | 0.238205 | 5,617 | 161 | 118 | 34.888199 | 0.697593 | 0 | 0 | 0.674797 | 0 | 0 | 0.094891 | 0 | 0 | 0 | 0 | 0 | 0.276423 | 1 | 0.130081 | false | 0 | 0.03252 | 0 | 0.170732 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
dec29c052cb086ae0ed41ab13555f4175cd0934f | 212 | py | Python | test/__init__.py | jasonleeinf/nmtlab | 122b70cc226d9ce17ad106a3bd3a5318bd3b359f | [
"MIT"
] | 27 | 2018-07-31T05:25:05.000Z | 2021-09-28T11:26:55.000Z | test/__init__.py | jasonleeinf/nmtlab | 122b70cc226d9ce17ad106a3bd3a5318bd3b359f | [
"MIT"
] | null | null | null | test/__init__.py | jasonleeinf/nmtlab | 122b70cc226d9ce17ad106a3bd3a5318bd3b359f | [
"MIT"
] | 9 | 2018-09-20T19:44:53.000Z | 2020-12-09T09:51:56.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import xrange
from six.moves import zip
| 21.2 | 38 | 0.787736 | 31 | 212 | 4.935484 | 0.580645 | 0.196078 | 0.313725 | 0.235294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005464 | 0.136792 | 212 | 9 | 39 | 23.555556 | 0.830601 | 0.198113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0.2 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
dee0b7d0f12a6503c606e09318a97eb8d39f00bb | 94 | py | Python | packages/pytea/pylib/PIL/__init__.py | Sehun0819/pytea | 3f068016a71a1915722e51d977fedab01427a42c | [
"MIT"
] | 241 | 2021-03-19T01:11:44.000Z | 2022-03-25T03:15:22.000Z | packages/pytea/pylib/PIL/__init__.py | Sehun0819/pytea | 3f068016a71a1915722e51d977fedab01427a42c | [
"MIT"
] | 2 | 2021-02-26T08:16:04.000Z | 2022-02-28T02:52:58.000Z | packages/pytea/pylib/PIL/__init__.py | Sehun0819/pytea | 3f068016a71a1915722e51d977fedab01427a42c | [
"MIT"
] | 14 | 2021-01-08T02:22:58.000Z | 2022-01-19T14:13:14.000Z | from . import Image
from . import ImageDraw
from . import ImageEnhance
from . import ImageOps
| 18.8 | 26 | 0.787234 | 12 | 94 | 6.166667 | 0.5 | 0.540541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.170213 | 94 | 4 | 27 | 23.5 | 0.948718 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
7230436adfda224d870cdd9f9a2a0cae056dfa93 | 39 | py | Python | holocron/utils/__init__.py | frgfm/torch-zoo | c97beacf3d49eaa34398abf47f378ea6b48a70f3 | [
"Apache-2.0"
] | 181 | 2019-09-05T10:48:15.000Z | 2022-03-29T06:53:15.000Z | holocron/utils/__init__.py | frgfm/torch-zoo | c97beacf3d49eaa34398abf47f378ea6b48a70f3 | [
"Apache-2.0"
] | 179 | 2019-08-29T09:15:49.000Z | 2022-02-13T21:49:20.000Z | holocron/utils/__init__.py | frgfm/torch-zoo | c97beacf3d49eaa34398abf47f378ea6b48a70f3 | [
"Apache-2.0"
] | 46 | 2019-07-25T03:36:27.000Z | 2022-03-29T06:53:19.000Z | from . import data
from .misc import *
| 13 | 19 | 0.717949 | 6 | 39 | 4.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.205128 | 39 | 2 | 20 | 19.5 | 0.903226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
a0c683d772e7227a0b5c36a9909941de6b8e6228 | 99 | py | Python | dragon_lite/user_group/__init__.py | Magellanea/Dragon-Lite | 1afcb3a92542ca00955629487fa4bbc336cf65ac | [
"BSD-3-Clause"
] | null | null | null | dragon_lite/user_group/__init__.py | Magellanea/Dragon-Lite | 1afcb3a92542ca00955629487fa4bbc336cf65ac | [
"BSD-3-Clause"
] | null | null | null | dragon_lite/user_group/__init__.py | Magellanea/Dragon-Lite | 1afcb3a92542ca00955629487fa4bbc336cf65ac | [
"BSD-3-Clause"
] | null | null | null | '''The user group module.'''
from .models import UserGroup
from . import forms
from . import views
| 19.8 | 29 | 0.737374 | 14 | 99 | 5.214286 | 0.714286 | 0.273973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161616 | 99 | 4 | 30 | 24.75 | 0.879518 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
a0ed004b6c6ca1687321b34cabbad00b1c471a9d | 993 | py | Python | test_file.py | empathephant/text-register-analyzer | f094c1306ed216a9d097c2a50a0ac685eaee1f9a | [
"MIT"
] | null | null | null | test_file.py | empathephant/text-register-analyzer | f094c1306ed216a9d097c2a50a0ac685eaee1f9a | [
"MIT"
] | null | null | null | test_file.py | empathephant/text-register-analyzer | f094c1306ed216a9d097c2a50a0ac685eaee1f9a | [
"MIT"
] | null | null | null | test = "HITCHHIKER'S GUIDE TO THE GALAXY Written by Douglas Adams Based on the book \"The Hitchhikers Guide to the Galaxy\" by Douglas Adams Revisions by Karey Kirkpatrick 8/8/03 3rd Revised Draft 1 2. HHGG 3rd Revised Draft 8/8/03 OVER DARKNESS... 1 ...we hear what we will come to know as the VOICE OF THE GUIDE. GUIDE VOICE It is an important and popular fact that things are not always what they seem. A small square image appears on screen. Home video. The dolphin stadium at Sea World. GUIDE VOICE (CONT'D) For instance, on the planet Earth, man had always assumed that he was the most intelligent species occupying the planet, instead of the third most intelligent which was, in fact, entirely accurate. The dolphins perform; leaping through hoops, etc. GUIDE VOICE (CONT'D) The second most intelligent creatures were, of course, dolphins who curiously enough had long known of the impending destruction of the planet Earth. They had made many attempts to alert mankind to the danger,"
| 496.5 | 992 | 0.78852 | 173 | 993 | 4.526012 | 0.624277 | 0.025543 | 0.025543 | 0.040868 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015739 | 0.168177 | 993 | 1 | 993 | 993 | 0.932203 | 0 | 0 | 0 | 0 | 1 | 0.951662 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
9d5893f9a601c02b422cf5d6c77258075ef0690f | 21 | py | Python | build/lib/welch/__init__.py | 11mhg/welch_dcp | 68655da1df005c6915661fe2319988d476417e66 | [
"MIT"
] | null | null | null | build/lib/welch/__init__.py | 11mhg/welch_dcp | 68655da1df005c6915661fe2319988d476417e66 | [
"MIT"
] | null | null | null | build/lib/welch/__init__.py | 11mhg/welch_dcp | 68655da1df005c6915661fe2319988d476417e66 | [
"MIT"
] | null | null | null | from .welch import *
| 10.5 | 20 | 0.714286 | 3 | 21 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 21 | 1 | 21 | 21 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
19f93c4a88f287bf85a5841ccc276f851e1f94a8 | 387 | py | Python | libs/datasets/__init__.py | thoo/covid-data-model | 69c44dd44960456e425aa2bae72f098c97c1b79b | [
"MIT"
] | 2 | 2020-06-14T19:10:03.000Z | 2020-12-29T19:17:53.000Z | libs/datasets/__init__.py | thoo/covid-data-model | 69c44dd44960456e425aa2bae72f098c97c1b79b | [
"MIT"
] | null | null | null | libs/datasets/__init__.py | thoo/covid-data-model | 69c44dd44960456e425aa2bae72f098c97c1b79b | [
"MIT"
] | null | null | null | import enum
from libs.datasets.sources.jhu_dataset import JHUDataset
from libs.datasets.sources.nytimes_dataset import NYTimesDataset
from libs.datasets.sources.dh_beds import DHBeds
from libs.datasets.sources.covid_tracking_source import CovidTrackingDataSource
from libs.datasets.sources.cds_dataset import CDSDataset
from libs.datasets.sources.fips_population import FIPSPopulation
| 38.7 | 79 | 0.881137 | 51 | 387 | 6.54902 | 0.45098 | 0.143713 | 0.287425 | 0.413174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072351 | 387 | 9 | 80 | 43 | 0.930362 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c21cdc2d5566ffad5e8cd7d3a723d8a703bec5e9 | 40 | py | Python | test/integration/test_cli.py | TripleDotEng/trivium-cli | 4291ed1d71d728ac3c0c738f7367f21521e393f4 | [
"MIT"
] | null | null | null | test/integration/test_cli.py | TripleDotEng/trivium-cli | 4291ed1d71d728ac3c0c738f7367f21521e393f4 | [
"MIT"
] | null | null | null | test/integration/test_cli.py | TripleDotEng/trivium-cli | 4291ed1d71d728ac3c0c738f7367f21521e393f4 | [
"MIT"
] | null | null | null | import trivium
print(trivium.version)
| 8 | 22 | 0.8 | 5 | 40 | 6.4 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 40 | 4 | 23 | 10 | 0.914286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 6 |
df9a058b6027efb0d522b7b6a98ac7818ddaee5c | 111 | py | Python | Python/Topics/Series/Converting a dictionary to Series/main.py | drtierney/hyperskill-problems | b74da993f0ac7bcff1cbd5d89a3a1b06b05f33e0 | [
"MIT"
] | 5 | 2020-08-29T15:15:31.000Z | 2022-03-01T18:22:34.000Z | Python/Topics/Series/Converting a dictionary to Series/main.py | drtierney/hyperskill-problems | b74da993f0ac7bcff1cbd5d89a3a1b06b05f33e0 | [
"MIT"
] | null | null | null | Python/Topics/Series/Converting a dictionary to Series/main.py | drtierney/hyperskill-problems | b74da993f0ac7bcff1cbd5d89a3a1b06b05f33e0 | [
"MIT"
] | 1 | 2020-12-02T11:13:14.000Z | 2020-12-02T11:13:14.000Z | import pandas as pd
def create_series(capitals):
return pd.Series(capitals, name="Capitals of the world")
| 22.2 | 60 | 0.756757 | 17 | 111 | 4.882353 | 0.764706 | 0.337349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153153 | 111 | 4 | 61 | 27.75 | 0.882979 | 0 | 0 | 0 | 0 | 0 | 0.189189 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 6 |
dfa01d009684bf6cb74eaf63f572727da3d262a3 | 31 | py | Python | pymrmre/__init__.py | bhklab/PymRMRe | 87d7a5a150476fbad0846384a843307320e6ac27 | [
"MIT"
] | 5 | 2020-06-30T04:26:08.000Z | 2022-02-22T10:43:20.000Z | pymrmre/__init__.py | bhklab/PymRMRe | 87d7a5a150476fbad0846384a843307320e6ac27 | [
"MIT"
] | 6 | 2020-07-22T10:14:58.000Z | 2021-04-07T15:34:10.000Z | pymrmre/__init__.py | bhklab/PymRMRe | 87d7a5a150476fbad0846384a843307320e6ac27 | [
"MIT"
] | 1 | 2020-11-26T22:17:45.000Z | 2020-11-26T22:17:45.000Z | import expt
from .mrmr import * | 15.5 | 19 | 0.774194 | 5 | 31 | 4.8 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 31 | 2 | 19 | 15.5 | 0.923077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
a038e0be24c001bec968df0399fc6f5018e5f038 | 42,383 | py | Python | climateeconomics/tests/utility_tests/_l0_test_witnessMDA_perfos.py | os-climate/witness-core | 3ef9a44d86804c5ad57deec3c9916348cb3bfbb8 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2022-01-14T06:37:42.000Z | 2022-01-14T06:37:42.000Z | climateeconomics/tests/utility_tests/_l0_test_witnessMDA_perfos.py | os-climate/witness-core | 3ef9a44d86804c5ad57deec3c9916348cb3bfbb8 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | climateeconomics/tests/utility_tests/_l0_test_witnessMDA_perfos.py | os-climate/witness-core | 3ef9a44d86804c5ad57deec3c9916348cb3bfbb8 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | '''
Copyright 2022 Airbus SAS
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.
'''
import csv
import pandas as pd
import seaborn as sns
'''
mode: python; py-indent-offset: 4; tab-width: 4; coding: utf-8
'''
import cProfile
import os
import platform
import pstats
import unittest
from io import StringIO
from os.path import dirname, join
from pathlib import Path
from shutil import rmtree
from time import sleep
import matplotlib.pyplot as plt
from climateeconomics.sos_processes.iam.witness.witness.usecase_witness import Study
from climateeconomics.sos_processes.iam.witness.witness_coarse.usecase_witness_coarse_new import Study as Studycoarse
from climateeconomics.sos_processes.iam.witness.witness_optim_process.usecase_witness_optim import Study as StudyMDO
from climateeconomics.sos_processes.iam.witness.witness_dev_ms_process._usecase_witness_dev_ms import Study as Witness_ms_study
from sos_trades_core.execution_engine.execution_engine import ExecutionEngine
class TestScatter(unittest.TestCase):
"""
SoSDiscipline test class
"""
def setUp(self):
'''
Initialize third data needed for testing
'''
self.dirs_to_del = []
self.namespace = 'MyCase'
self.study_name = f'{self.namespace}'
def tearDown(self):
for dir_to_del in self.dirs_to_del:
sleep(0.5)
if Path(dir_to_del).is_dir():
rmtree(dir_to_del)
sleep(0.5)
def test_01_witness_perfos_execute(self):
cumtime_gems_list = []
cumtime_configure_list = []
cumtime_build_list = []
cumtime_treeview_list = []
cumtime_execute_list = []
cumtime_total_configure_list = []
self.name = 'Test'
self.ee = ExecutionEngine(self.name)
repo = 'climateeconomics.sos_processes.iam.witness'
builder = self.ee.factory.get_builder_from_process(
repo, 'witness')
self.ee.factory.set_builders_to_coupling_builder(builder)
self.ee.configure()
usecase = Study(execution_engine=self.ee)
usecase.study_name = self.name
values_dict = usecase.setup_usecase()
input_dict_to_load = {}
for uc_d in values_dict:
input_dict_to_load.update(uc_d)
input_dict_to_load[f'{self.name}.n_processes'] = 1
input_dict_to_load[f'{self.name}.max_mda_iter'] = 300
input_dict_to_load[f'{self.name}.sub_mda_class'] = 'GSPureNewtonMDA'
self.ee.load_study_from_input_dict(input_dict_to_load)
profil = cProfile.Profile()
profil.enable()
self.ee.execute()
mda_class = self.ee.dm.get_value(f'{self.name}.sub_mda_class')
n_processes = self.ee.dm.get_value(f'{self.name}.n_processes')
profil.disable()
result = StringIO()
ps = pstats.Stats(profil, stream=result)
ps.sort_stats('cumulative')
ps.print_stats(1000)
result = result.getvalue()
# chop the string into a csv-like buffer
result = 'ncalls' + result.split('ncalls')[-1]
result = '\n'.join([','.join(line.rstrip().split(None, 5))
for line in result.split('\n')])
#
with open(join(dirname(__file__), f'witness_perfos.csv'), 'w+') as f:
# f = open(result.rsplit('.')[0] + '.csv', 'w')
f.write(result)
f.close()
lines = result.split('\n')
total_time = float(lines[1].split(',')[3])
print('total_time : ', total_time)
linearize_time = float([line for line in lines if 'linearize' in line][0].split(',')[
3])
execute_time = float([line for line in lines if 'execute_all_disciplines' in line][0].split(',')[
3])
inversion_time = float([line for line in lines if 'algo_lib.py' in line][0].split(',')[
3])
pre_run_mda_time = float([line for line in lines if 'pre_run_mda' in line][0].split(',')[
3])
dres_dvar_time = float([line for line in lines if 'dres_dvar' in line][0].split(',')[
3])
gauss_seidel_time = float([line for line in lines if 'gauss_seidel.py' in line][0].split(',')[
3])
_convert_array_into_new_type = float(
[line for line in lines if '_convert_array_into_new_type' in line][0].split(',')[
3])
print('_convert_array_into_new_type : ', _convert_array_into_new_type)
labels = 'Linearize', 'Pre-run', 'Gauss Seidel', 'Execute', 'Matrix Inversion', 'Matrix Build', 'Others'
sizes = [linearize_time, pre_run_mda_time, gauss_seidel_time, execute_time, inversion_time, dres_dvar_time,
total_time - linearize_time - execute_time - inversion_time - dres_dvar_time - pre_run_mda_time - gauss_seidel_time]
def make_autopct(values):
def my_autopct(pct):
total = sum(values)
val = pct * total / 100.0
return '{p:.2f}% ({v:.1f}s)'.format(p=pct, v=val)
return my_autopct
fig1, ax1 = plt.subplots()
ax1.pie(sizes, labels=labels, autopct=make_autopct(sizes),
shadow=True, startangle=90)
# Equal aspect ratio ensures that pie is drawn as a circle.
ax1.axis('equal')
ax1.set_title(
f"WITNESS {mda_class} cache with {n_processes} procs, Total time : {total_time} s")
fig_name = f'WITNESS_{mda_class}_{n_processes}_proc.png'
plt.savefig(
join(dirname(__file__), fig_name))
if platform.system() == 'Windows':
plt.show()
else:
#
os.system(
f'git add ./climateeconomics/tests/utility_tests/{fig_name}')
os.system(
f'git add ./climateeconomics/tests/utility_tests/witness_perfos.csv')
os.system(
f'git commit -m "Add {fig_name}"')
os.system('git pull')
os.system('git push')
def test_02_witness_perfos_execute_GSNR(self):
cumtime_gems_list = []
cumtime_configure_list = []
cumtime_build_list = []
cumtime_treeview_list = []
cumtime_execute_list = []
cumtime_total_configure_list = []
self.name = 'Test'
self.ee = ExecutionEngine(self.name)
repo = 'climateeconomics.sos_processes.iam.witness'
builder = self.ee.factory.get_builder_from_process(
repo, 'witness')
self.ee.factory.set_builders_to_coupling_builder(builder)
self.ee.configure()
usecase = Study(execution_engine=self.ee)
usecase.study_name = self.name
values_dict = usecase.setup_usecase()
input_dict_to_load = {}
for uc_d in values_dict:
input_dict_to_load.update(uc_d)
input_dict_to_load[f'{self.name}.n_processes'] = 1
input_dict_to_load[f'{self.name}.max_mda_iter'] = 300
input_dict_to_load[f'{self.name}.sub_mda_class'] = 'GSNewtonMDA'
self.ee.load_study_from_input_dict(input_dict_to_load)
profil = cProfile.Profile()
profil.enable()
self.ee.execute()
mda_class = self.ee.dm.get_value(f'{self.name}.sub_mda_class')
n_processes = self.ee.dm.get_value(f'{self.name}.n_processes')
profil.disable()
result = StringIO()
ps = pstats.Stats(profil, stream=result)
ps.sort_stats('cumulative')
ps.print_stats(1000)
result = result.getvalue()
# chop the string into a csv-like buffer
result = 'ncalls' + result.split('ncalls')[-1]
result = '\n'.join([','.join(line.rstrip().split(None, 5))
for line in result.split('\n')])
#
with open(join(dirname(__file__), 'witness_perfos.csv'), 'w+') as f:
# f = open(result.rsplit('.')[0] + '.csv', 'w')
f.write(result)
f.close()
lines = result.split('\n')
total_time = float(lines[1].split(',')[3])
print('total_time : ', total_time)
linearize_time = float([line for line in lines if 'linearize' in line][0].split(',')[
3])
execute_time = float([line for line in lines if 'execute_all_disciplines' in line][0].split(',')[
3])
inversion_time = float([line for line in lines if 'algo_lib.py' in line][0].split(',')[
3])
pre_run_mda_time = float([line for line in lines if 'pre_run_mda' in line][0].split(',')[
3])
dres_dvar_time = float([line for line in lines if 'dres_dvar' in line][0].split(',')[
3])
gauss_seidel_time = float([line for line in lines if 'gauss_seidel.py' in line][0].split(',')[
3])
_convert_array_into_new_type = float(
[line for line in lines if '_convert_array_into_new_type' in line][0].split(',')[
3])
print('_convert_array_into_new_type : ', _convert_array_into_new_type)
labels = 'Linearize', 'Pre-run', 'Gauss Seidel', 'Execute', 'Matrix Inversion', 'Matrix Build', 'Others'
sizes = [linearize_time, pre_run_mda_time, gauss_seidel_time, execute_time, inversion_time, dres_dvar_time,
total_time - linearize_time - execute_time - inversion_time - dres_dvar_time - pre_run_mda_time - gauss_seidel_time]
def make_autopct(values):
def my_autopct(pct):
total = sum(values)
val = pct * total / 100.0
return '{p:.2f}% ({v:.1f}s)'.format(p=pct, v=val)
return my_autopct
fig1, ax1 = plt.subplots()
ax1.pie(sizes, labels=labels, autopct=make_autopct(sizes),
shadow=True, startangle=90)
# Equal aspect ratio ensures that pie is drawn as a circle.
ax1.axis('equal')
ax1.set_title(
f"WITNESS {mda_class} cache with {n_processes} procs, Total time : {total_time} s")
fig_name = f'WITNESS_{mda_class}_{n_processes}_proc.png'
plt.savefig(
join(dirname(__file__), fig_name))
if platform.system() == 'Windows':
plt.show()
else:
os.system(
f'git add ./climateeconomics/tests/utility_tests/{fig_name}')
# os.system(
# f'git add
# ./climateeconomics/tests/utility_tests/witness_perfos.csv')
os.system(
f'git commit -m "Add {fig_name}"')
# os.system('git pull')
# os.system('git push')
def test_03_witness_perfos_execute_PureParallel(self):
cumtime_gems_list = []
cumtime_configure_list = []
cumtime_build_list = []
cumtime_treeview_list = []
cumtime_execute_list = []
cumtime_total_configure_list = []
self.name = 'Test'
self.ee = ExecutionEngine(self.name)
repo = 'climateeconomics.sos_processes.iam.witness'
builder = self.ee.factory.get_builder_from_process(
repo, 'witness')
self.ee.factory.set_builders_to_coupling_builder(builder)
self.ee.configure()
usecase = Study(execution_engine=self.ee)
usecase.study_name = self.name
values_dict = usecase.setup_usecase()
input_dict_to_load = {}
for uc_d in values_dict:
input_dict_to_load.update(uc_d)
input_dict_to_load[f'{self.name}.n_processes'] = 1
input_dict_to_load[f'{self.name}.max_mda_iter'] = 300
input_dict_to_load[f'{self.name}.sub_mda_class'] = 'GSPureNewtonMDA'
self.ee.load_study_from_input_dict(input_dict_to_load)
profil = cProfile.Profile()
profil.enable()
self.ee.execute()
mda_class = self.ee.dm.get_value(f'{self.name}.sub_mda_class')
n_processes = self.ee.dm.get_value(f'{self.name}.n_processes')
profil.disable()
result = StringIO()
ps = pstats.Stats(profil, stream=result)
ps.sort_stats('cumulative')
ps.print_stats(1000)
result = result.getvalue()
# chop the string into a csv-like buffer
result = 'ncalls' + result.split('ncalls')[-1]
result = '\n'.join([','.join(line.rstrip().split(None, 5))
for line in result.split('\n')])
#
with open(join(dirname(__file__), 'witness_perfos.csv'), 'w+') as f:
# f = open(result.rsplit('.')[0] + '.csv', 'w')
f.write(result)
f.close()
lines = result.split('\n')
total_time = float(lines[1].split(',')[3])
print('total_time : ', total_time)
linearize_time = float([line for line in lines if 'linearize' in line][0].split(',')[
3])
execute_time = float([line for line in lines if 'execute_all_disciplines' in line][0].split(',')[
3])
inversion_time = float([line for line in lines if 'algo_lib.py' in line][0].split(',')[
3])
pre_run_mda_time = float([line for line in lines if 'pre_run_mda' in line][0].split(',')[
3])
dres_dvar_time = float([line for line in lines if 'dres_dvar' in line][0].split(',')[
3])
gauss_seidel_time = float([line for line in lines if 'gauss_seidel.py' in line][0].split(',')[
3])
_convert_array_into_new_type = float(
[line for line in lines if '_convert_array_into_new_type' in line][0].split(',')[
3])
print('_convert_array_into_new_type : ', _convert_array_into_new_type)
labels = 'Linearize', 'Pre-run', 'Gauss Seidel', 'Execute', 'Matrix Inversion', 'Matrix Build', 'Others'
sizes = [linearize_time, pre_run_mda_time, gauss_seidel_time, execute_time, inversion_time, dres_dvar_time,
total_time - linearize_time - execute_time - inversion_time - dres_dvar_time - pre_run_mda_time - gauss_seidel_time]
def make_autopct(values):
def my_autopct(pct):
total = sum(values)
val = pct * total / 100.0
return '{p:.2f}% ({v:.1f}s)'.format(p=pct, v=val)
return my_autopct
fig1, ax1 = plt.subplots()
ax1.pie(sizes, labels=labels, autopct=make_autopct(sizes),
shadow=True, startangle=90)
# Equal aspect ratio ensures that pie is drawn as a circle.
ax1.axis('equal')
ax1.set_title(
f"WITNESS {mda_class} cache with {n_processes} procs, Total time : {total_time} s")
fig_name = f'WITNESS_{mda_class}_{n_processes}_proc.png'
plt.savefig(
join(dirname(__file__), fig_name))
if platform.system() == 'Windows':
plt.show()
else:
os.system(
f'git add ./climateeconomics/tests/utility_tests/{fig_name}')
os.system(
f'git add ./climateeconomics/tests/utility_tests/witness_perfos.csv')
os.system(
f'git commit -m "Add {fig_name}"')
os.system('git pull')
os.system('git push')
def test_04_witness_coarseperfos_multiproc(self):
linearize_time_list = []
execute_time_list = []
total_time_list = []
n_proc_list = [1, 2, 4, 8, 16]
for n_proc in n_proc_list:
self.name = 'Test'
self.ee = ExecutionEngine(self.name)
repo = 'climateeconomics.sos_processes.iam.witness'
builder = self.ee.factory.get_builder_from_process(
repo, 'witness_coarse')
self.ee.factory.set_builders_to_coupling_builder(builder)
self.ee.configure()
usecase = Studycoarse(execution_engine=self.ee)
usecase.study_name = self.name
values_dict = usecase.setup_usecase()
input_dict_to_load = {}
for uc_d in values_dict:
input_dict_to_load.update(uc_d)
input_dict_to_load[f'{self.name}.n_processes'] = n_proc
input_dict_to_load[f'{self.name}.max_mda_iter'] = 300
input_dict_to_load[f'{self.name}.sub_mda_class'] = 'GSPureNewtonMDA'
self.ee.load_study_from_input_dict(input_dict_to_load)
profil = cProfile.Profile()
profil.enable()
self.ee.execute()
mda_class = self.ee.dm.get_value(f'{self.name}.sub_mda_class')
n_processes = self.ee.dm.get_value(f'{self.name}.n_processes')
profil.disable()
result = StringIO()
ps = pstats.Stats(profil, stream=result)
ps.sort_stats('cumulative')
ps.print_stats(1000)
result = result.getvalue()
# chop the string into a csv-like buffer
result = 'ncalls' + result.split('ncalls')[-1]
result = '\n'.join([','.join(line.rstrip().split(None, 5))
for line in result.split('\n')])
#
with open(join(dirname(__file__), f'witness_coarse_perfos{n_processes}.csv'), 'w+') as f:
# f = open(result.rsplit('.')[0] + '.csv', 'w')
f.write(result)
f.close()
lines = result.split('\n')
total_time = float(lines[1].split(',')[3])
print('total_time : ', total_time)
linearize_time = float([line for line in lines if 'linearize' in line][0].split(',')[
3])
execute_time = float([line for line in lines if 'execute_all_disciplines' in line][0].split(',')[
3])
inversion_time = float([line for line in lines if 'algo_lib.py' in line][0].split(',')[
3])
pre_run_mda_time = float([line for line in lines if 'pre_run_mda' in line][0].split(',')[
3])
dres_dvar_time = float([line for line in lines if 'dres_dvar' in line][0].split(',')[
3])
gauss_seidel_time = float([line for line in lines if 'gauss_seidel.py' in line][0].split(',')[
3])
_convert_array_into_new_type = float(
[line for line in lines if '_convert_array_into_new_type' in line][0].split(',')[
3])
print('_convert_array_into_new_type : ',
_convert_array_into_new_type)
labels = 'Linearize', 'Pre-run', 'Gauss Seidel', 'Execute', 'Matrix Inversion', 'Matrix Build', 'Others'
sizes = [linearize_time, pre_run_mda_time, gauss_seidel_time, execute_time, inversion_time, dres_dvar_time,
total_time - linearize_time - execute_time - inversion_time - dres_dvar_time - pre_run_mda_time - gauss_seidel_time]
def make_autopct(values):
def my_autopct(pct):
total = sum(values)
val = pct * total / 100.0
return '{p:.2f}% ({v:.1f}s)'.format(p=pct, v=val)
return my_autopct
fig1, ax1 = plt.subplots()
ax1.pie(sizes, labels=labels, autopct=make_autopct(sizes),
shadow=True, startangle=90)
# Equal aspect ratio ensures that pie is drawn as a circle.
ax1.axis('equal')
ax1.set_title(
f"WITNESS {mda_class} cache with {n_processes} procs, Total time : {total_time} s")
fig_name = f'WITNESScoarse_{mda_class}_{n_processes}_proc.png'
plt.savefig(
join(dirname(__file__), fig_name))
linearize_time_list.append(linearize_time)
execute_time_list.append(execute_time)
total_time_list.append(total_time)
fig = plt.figure()
plt.plot(n_proc_list, total_time_list, label='Total time')
plt.plot(n_proc_list, execute_time_list, label='Execute time')
plt.plot(n_proc_list, linearize_time_list, label='Linearize time')
plt.legend()
fig_name = f'WITNESScoarse_{mda_class}_allprocs.png'
plt.savefig(
join(dirname(__file__), fig_name))
def test_05_witness_perfos_multiproc(self):
linearize_time_list = []
execute_time_list = []
total_time_list = []
n_proc_list = [1, 2, 4, 8, 16, 32, 64]
for n_proc in n_proc_list:
self.name = 'Test'
self.ee = ExecutionEngine(self.name)
repo = 'climateeconomics.sos_processes.iam.witness'
builder = self.ee.factory.get_builder_from_process(
repo, 'witness')
self.ee.factory.set_builders_to_coupling_builder(builder)
self.ee.configure()
usecase = Study(execution_engine=self.ee)
usecase.study_name = self.name
values_dict = usecase.setup_usecase()
input_dict_to_load = {}
for uc_d in values_dict:
input_dict_to_load.update(uc_d)
input_dict_to_load[f'{self.name}.n_processes'] = n_proc
input_dict_to_load[f'{self.name}.max_mda_iter'] = 300
input_dict_to_load[f'{self.name}.sub_mda_class'] = 'GSPureNewtonMDA'
self.ee.load_study_from_input_dict(input_dict_to_load)
profil = cProfile.Profile()
profil.enable()
self.ee.execute()
mda_class = self.ee.dm.get_value(f'{self.name}.sub_mda_class')
n_processes = self.ee.dm.get_value(f'{self.name}.n_processes')
profil.disable()
result = StringIO()
ps = pstats.Stats(profil, stream=result)
ps.sort_stats('cumulative')
ps.print_stats(1000)
result = result.getvalue()
# chop the string into a csv-like buffer
result = 'ncalls' + result.split('ncalls')[-1]
result = '\n'.join([','.join(line.rstrip().split(None, 5))
for line in result.split('\n')])
#
with open(join(dirname(__file__), f'witness_coarse_perfos{n_processes}.csv'), 'w+') as f:
# f = open(result.rsplit('.')[0] + '.csv', 'w')
f.write(result)
f.close()
lines = result.split('\n')
total_time = float(lines[1].split(',')[3])
print('total_time : ', total_time)
linearize_time = float([line for line in lines if 'linearize' in line][0].split(',')[
3])
execute_time = float([line for line in lines if 'execute_all_disciplines' in line][0].split(',')[
3])
inversion_time = float([line for line in lines if 'algo_lib.py' in line][0].split(',')[
3])
pre_run_mda_time = float([line for line in lines if 'pre_run_mda' in line][0].split(',')[
3])
dres_dvar_time = float([line for line in lines if 'dres_dvar' in line][0].split(',')[
3])
gauss_seidel_time = float([line for line in lines if 'gauss_seidel.py' in line][0].split(',')[
3])
_convert_array_into_new_type = float(
[line for line in lines if '_convert_array_into_new_type' in line][0].split(',')[
3])
print('_convert_array_into_new_type : ',
_convert_array_into_new_type)
labels = 'Linearize', 'Pre-run', 'Gauss Seidel', 'Execute', 'Matrix Inversion', 'Matrix Build', 'Others'
sizes = [linearize_time, pre_run_mda_time, gauss_seidel_time, execute_time, inversion_time, dres_dvar_time,
total_time - linearize_time - execute_time - inversion_time - dres_dvar_time - pre_run_mda_time - gauss_seidel_time]
def make_autopct(values):
def my_autopct(pct):
total = sum(values)
val = pct * total / 100.0
return '{p:.2f}% ({v:.1f}s)'.format(p=pct, v=val)
return my_autopct
fig1, ax1 = plt.subplots()
ax1.pie(sizes, labels=labels, autopct=make_autopct(sizes),
shadow=True, startangle=90)
# Equal aspect ratio ensures that pie is drawn as a circle.
ax1.axis('equal')
ax1.set_title(
f"WITNESS {mda_class} cache with {n_processes} procs, Total time : {total_time} s")
fig_name = f'WITNESS_{mda_class}_{n_processes}_proc.png'
plt.savefig(
join(dirname(__file__), fig_name))
linearize_time_list.append(linearize_time)
execute_time_list.append(execute_time)
total_time_list.append(total_time)
if not platform.system() == 'Windows':
os.system(
f'git add ./climateeconomics/tests/utility_tests/{fig_name}')
fig = plt.figure()
plt.plot(n_proc_list, total_time_list, label='Total time')
plt.plot(n_proc_list, execute_time_list, label='Execute time')
plt.plot(n_proc_list, linearize_time_list, label='Linearize time')
plt.legend()
fig_name = f'WITNESS_{mda_class}_allprocs.png'
plt.savefig(
join(dirname(__file__), fig_name))
if platform.system() == 'Windows':
plt.show()
else:
os.system(
f'git add ./climateeconomics/tests/utility_tests/{fig_name}')
os.system(
f'git commit -m "Add {fig_name}"')
os.system('git pull')
os.system('git push')
def _test_06_witness_perfos_parallel_comparison(self):
def execute_full_usecase(n_processes):
self.name = 'Test'
self.ee = ExecutionEngine(self.name)
repo = 'climateeconomics.sos_processes.iam.witness'
builder = self.ee.factory.get_builder_from_process(
repo, 'witness')
self.ee.factory.set_builders_to_coupling_builder(builder)
self.ee.configure()
usecase = Study(execution_engine=self.ee)
usecase.study_name = self.name
values_dict = usecase.setup_usecase()
input_dict_to_load = {}
for uc_d in values_dict:
input_dict_to_load.update(uc_d)
input_dict_to_load[f'{self.name}.n_processes'] = n_processes
input_dict_to_load[f'{self.name}.max_mda_iter'] = 300
input_dict_to_load[f'{self.name}.sub_mda_class'] = 'GSPureNewtonMDA'
self.ee.load_study_from_input_dict(input_dict_to_load)
profil = cProfile.Profile()
profil.enable()
self.ee.execute()
profil.disable()
result = StringIO()
ps = pstats.Stats(profil, stream=result)
ps.sort_stats('cumulative')
ps.print_stats(1000)
result = result.getvalue()
# chop the string into a csv-like buffer
result = 'ncalls' + result.split('ncalls')[-1]
result = '\n'.join([','.join(line.rstrip().split(None, 5))
for line in result.split('\n')])
lines = result.split('\n')
total_time = float(lines[1].split(',')[3])
print('total_time : ', total_time)
linearize_time = float([line for line in lines if 'linearize' in line][0].split(',')[
3])
execute_time = float([line for line in lines if 'execute_all_disciplines' in line][0].split(',')[
3])
inversion_time = float([line for line in lines if 'algo_lib.py' in line][0].split(',')[
3])
pre_run_mda_time = float([line for line in lines if 'pre_run_mda' in line][0].split(',')[
3])
dres_dvar_time = float([line for line in lines if 'dres_dvar' in line][0].split(',')[
3])
gauss_seidel_time = float([line for line in lines if 'gauss_seidel.py' in line][0].split(',')[
3])
_convert_array_into_new_type = float(
[line for line in lines if '_convert_array_into_new_type' in line][0].split(',')[
3])
sizes = [linearize_time, pre_run_mda_time, gauss_seidel_time, execute_time, inversion_time, dres_dvar_time,
_convert_array_into_new_type,
total_time - linearize_time - execute_time - inversion_time - dres_dvar_time - pre_run_mda_time - gauss_seidel_time]
return sizes
def stack_bar_chart(data, x, title, figsize, color, xlabel, ylabel, tailles, trick=False,
given_labels=False):
"""This function builds a barplot, displays the percentage of each hue(subcategory)
and orders the bars according to a given order
"""
plt.figure(figsize=figsize)
ax = data.plot(
x=x,
kind='bar',
stacked=True,
title=title,
mark_right=True, figsize=figsize, color=color)
plt.xlabel(xlabel)
plt.ylabel(ylabel)
plt.legend(loc='upper left', bbox_to_anchor=(1, 1))
ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha="right")
u = 0
for c in ax.containers:
# custom label calculates percent and add an empty string so 0
# value bars don't have a number
labels = [f'{(v.get_height()) / (tailles[k]) * 100:0.1f}%' if (v.get_height()) > 0 else '' for k, v
in enumerate(c)]
position = 'center'
if (trick and (u == 3)):
position = 'edge'
if (given_labels):
labels = [
f'{round(v.get_height(), 2)}%' for k, v in enumerate(c)]
ax.bar_label(c, labels=labels, label_type=position)
u = u + 1
# ax.bar_label(c,labels=labels, label_type='center')
plt.savefig('witness_coarse_parallel_perfos.jpg')
plt.show()
def witness_parallel_status():
pd.set_option('display.max_columns', None)
execution_modes = ['sequential', 'threading_10_cores', 'threading_20_cores', 'multiprocessing_10_cores',
'multiprocessing_20_cores']
linearizes_coarse = [41, 38, 38, 30, 33]
execute_coarse = [24, 23, 23, 35, 35]
others_coarse = [20, 20, 20, 22, 22]
total_coarse = [94, 82, 81, 87, 90]
total_coarse_analysis = pd.DataFrame(
{'exec_mode': execution_modes, 'run_time': total_coarse})
linearizes_full = [327, 345, 349, 107, 135]
execute_full = [73, 66, 70, 108, 117]
others_full = [144, 137, 136, 165, 165]
total_full = [543, 548, 555, 380, 417]
execution_modes_new = ['sequential', 'threading_10_cores', 'threading_20_cores', 'multiprocessing_10_cores',
'multiprocessing_20_cores', 'multiproc_10_seq', 'multiproc_20_seq']
total_full_new = [543, 548, 555, 380, 417, 327, 346]
total_full_analysis = pd.DataFrame(
{'exec_mode': execution_modes_new, 'run_time': total_full_new})
coarse_analysis = pd.DataFrame(
{'exec_mode': execution_modes, 'Linearize': linearizes_coarse, 'Execute': execute_coarse,
'Others': others_coarse})
full_analysis = pd.DataFrame(
{'exec_mode': execution_modes, 'Linearize': linearizes_full, 'Execute': execute_full,
'Others': others_full})
# stack_bar_chart(data=full_analysis, x='exec_mode', title="witness full parallel perfo", figsize=(12, 10),
# color=["green", "red", "gold"], xlabel="execution_mode", ylabel="running_time",
# tailles=total_full)
# stack_bar_chart(data=coarse_analysis, x='exec_mode', title="witness coarse parallel perfo", figsize=(12, 10),
# color=["green", "red", "gold"], xlabel="execution_mode", ylabel="running_time",
# tailles=total_coarse)
sns.set_style('darkgrid')
plt.style.use('ggplot')
plt.figure(figsize=(12, 10))
ax = sns.barplot(x='exec_mode', y='run_time',
data=total_coarse_analysis, ec='k')
ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha='right')
ax.set_title("total run time witness coarse")
for c in ax.containers:
for k, v in enumerate(c):
x = v.get_x() + v.get_width() / 2
y = v.get_height()
if y < 60:
text = round(y)
else:
text = f'{round(y//60)} mn {round(y%60)} s'
ax.text(x, y, text, ha='center')
plt.savefig('total_time_coarse.jpg')
plt.show()
def plot_hbar(file_name):
disciplines_list = []
disciplines_run_time = []
with open(file_name) as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
for row in csv_reader:
if line_count == 0:
for disc in row:
disciplines_list.append(disc)
else:
for time in row:
disciplines_run_time.append(round(float(time), 2))
line_count += 1
df = pd.DataFrame({'disciplines': disciplines_list,
'run_time': disciplines_run_time})
df = df.sort_values('run_time', ascending=False)
df = df.head(30)
disciplines_run_time.sort(reverse=True)
total_run_time = sum(disciplines_run_time)
sns.set_style('darkgrid')
plt.style.use('ggplot')
plt.figure(figsize=(12, 10))
ax = sns.barplot(x='run_time', y='disciplines', data=df, ec='k')
ax.set_title("execution time per discipline")
for c in ax.containers:
for k, v in enumerate(c):
x = disciplines_run_time[k] + 0.005
y = v.get_y() + v.get_width() + 0.005
text = f'{round ((disciplines_run_time[k]/total_run_time)*100)} %'
ax.text(x, y, text)
plt.savefig('execution_time_per_disciplines_coarse_percent.jpg')
plt.show()
labels = ['n_processes', 'Linearize', 'Pre-run', 'Gauss Seidel', 'Execute', 'Matrix Inversion', 'Matrix Build',
'convert_array_into_new_types', 'Others']
n_processes_list = [1, 10, 20, 30]
n_processes_list = [1]
# dict_perfo = {}
# for n_core in n_processes_list:
# performances_list = []
# for i in range(0, 1):
# performances_list.append(execute_full_usecase(n_core))
# dict_perfo[n_core] = [sum(x) / 1 for x in zip(*performances_list)]
# with open(join(dirname(__file__), 'witness_full_parallel_perfos_processing_sequential.csv'), 'w+') as f:
# writer = csv.writer(f)
# writer.writerow(labels)
# for n_core in n_processes_list:
# data = [f'with_{n_core}_cores']
# data.extend(dict_perfo[n_core])
# writer.writerow(data)
# witness_parallel_status()
plot_hbar('execute_split_coarse.csv')
print("done")
def test_07_witness_memory_perfos(self):
self.name = 'Test'
self.ee = ExecutionEngine(self.name)
repo = 'climateeconomics.sos_processes.iam.witness'
builder = self.ee.factory.get_builder_from_process(
repo, 'witness')
self.ee.factory.set_builders_to_coupling_builder(builder)
self.ee.configure()
usecase = Study(execution_engine=self.ee)
# usecase = Study(execution_engine=self.ee)
usecase.study_name = self.name
values_dict = usecase.setup_usecase()
input_dict_to_load = {}
for uc_d in values_dict:
input_dict_to_load.update(uc_d)
input_dict_to_load[f'{self.name}.WITNESS_MDO.max_iter'] = 5
# input_dict_to_load[f'{self.name}.WITNESS_MDO.WITNESS_Eval.max_mda_iter'] = 5
input_dict_to_load[f'{self.name}.max_mda_iter'] = 300
input_dict_to_load[f'{self.name}.sub_mda_class'] = 'GSPureNewtonMDA'
self.ee.load_study_from_input_dict(input_dict_to_load)
import tracemalloc
tracemalloc.start()
snapshot1 = tracemalloc.take_snapshot()
self.ee.execute()
snapshot2 = tracemalloc.take_snapshot()
current, peak = tracemalloc.get_traced_memory()
print(
f"Current memory usage is {current / 10 ** 6}MB; Peak was {peak / 10 ** 6}MB")
top_stats = snapshot2.compare_to(snapshot1, 'lineno')
print("[ Top 10 differences ]")
for stat in top_stats[:10]:
print(stat)
tracemalloc.stop()
# def test_08_mda_coupling_perfos_configure(self):
#
# self.name = 'Test'
# self.ee = ExecutionEngine(self.name)
# repo = 'climateeconomics.sos_processes.iam.witness'
# builder = self.ee.factory.get_builder_from_process(
# repo, 'witness_dev_ms_process')
#
# self.ee.factory.set_builders_to_coupling_builder(builder)
# self.ee.configure()
#
# usecase = Witness_ms_study(execution_engine=self.ee)
# usecase.study_name = self.name
# values_dict = usecase.setup_usecase()
# self.ee.load_study_from_input_dict(values_dict)
#
# profil = cProfile.Profile()
# profil.enable()
# self.ee.configure()
# profil.disable()
#
# result = StringIO()
#
# nb_var = len(self.ee.dm.data_id_map)
# print('Total Var nbr:', nb_var)
#
# ps = pstats.Stats(profil, stream=result)
# ps.sort_stats('cumulative')
# ps.print_stats(1000)
# result = result.getvalue()
# # chop the string into a csv-like buffer
# result = 'ncalls' + result.split('ncalls')[-1]
# result = '\n'.join([','.join(line.rstrip().split(None, 5))
# for line in result.split('\n')])
#
# with open(join(dirname(__file__), f'configure_perfos.csv'), 'w+') as f:
# # f = open(result.rsplit('.')[0] + '.csv', 'w')
# f.write(result)
# f.close()
#
# df = pd.read_csv(join(dirname(__file__), f'configure_perfos.csv'))
# df['Type'] = 'other'
# df.loc[df['filename:lineno(function)'].str.contains('mda.py'), 'Type'] = 'mda'
# df.loc[df['filename:lineno(function)'].str.contains('dependency_graph.py'), 'Type'] = 'dependency_graph'
# df.loc[df['filename:lineno(function)'].str.contains('coupling_structure'), 'Type'] = 'coupling_structure'
# df.loc[df['filename:lineno(function)'].str.contains('__create_graph'), 'Type'] = '__create_graph'
# df.loc[df['filename:lineno(function)'].str.contains('__create_condensed_graph'), 'Type'] = '__create_condensed_graph'
# df.loc[df['filename:lineno(function)'].str.contains('get_disciplines_couplings'), 'Type'] = 'get_disciplines_couplings'
# df.loc[df['filename:lineno(function)'].str.contains('__get_leaves'), 'Type'] = '__get_leaves'
# df.loc[df['filename:lineno(function)'].str.contains('__get_ordered_scc'), 'Type'] = '__get_ordered_scc'
# df.loc[df['filename:lineno(function)'].str.contains('get_execution_sequence'), 'Type'] = 'get_execution_sequence'
# df.loc[df['filename:lineno(function)'].str.contains('strongly_coupled_disciplines'), 'Type'] = 'strongly_coupled_disciplines'
# df.loc[df['filename:lineno(function)'].str.contains('weakly_coupled_disciplines'), 'Type'] = 'weakly_coupled_disciplines'
# df.loc[df['filename:lineno(function)'].str.contains('strong_couplings'), 'Type'] = 'strong_couplings'
# df.loc[df['filename:lineno(function)'].str.contains('weak_couplings'), 'Type'] = 'weak_couplings'
# df.loc[df['filename:lineno(function)'].str.contains('get_all_couplings'), 'Type'] = 'get_all_couplings'
# df.loc[df['filename:lineno(function)'].str.contains('find_discipline'), 'Type'] = 'find_discipline'
#
# total_time = df['tottime'].sum()
# grp = df.groupby('Type').sum().reset_index()
# grp['ratio'] = grp['tottime']/total_time
#
# print(grp[['Type', 'tottime', 'ratio']])
if '__main__' == __name__:
cls = TestScatter()
cls.test_01_witness_perfos_execute()
| 44.849735 | 138 | 0.569922 | 5,156 | 42,383 | 4.418542 | 0.09678 | 0.017909 | 0.019357 | 0.028312 | 0.787157 | 0.777807 | 0.771003 | 0.755465 | 0.742911 | 0.718857 | 0 | 0.017241 | 0.31029 | 42,383 | 944 | 139 | 44.897246 | 0.76211 | 0.145082 | 0 | 0.767305 | 0 | 0.001473 | 0.153124 | 0.072379 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033873 | false | 0 | 0.029455 | 0 | 0.081001 | 0.030928 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
cd1ac903b8d200d55503938c63ba721bcb6e405c | 134 | py | Python | python/testData/intentions/typeInDocstring6_after.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/intentions/typeInDocstring6_after.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/intentions/typeInDocstring6_after.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | class A:
def unresolved(self):
pass
class B:
def unresolved(self):
pass
def foo3(param):
i = param.unreso<caret>lved() | 13.4 | 31 | 0.649254 | 20 | 134 | 4.35 | 0.65 | 0.298851 | 0.390805 | 0.482759 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009615 | 0.223881 | 134 | 10 | 31 | 13.4 | 0.826923 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0.25 | 0 | 0 | 0.625 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
cd52843f8b19a2dd932eccd1b2d66edd816e6d4a | 231 | py | Python | train_models_array.py | wittenator/pimai | 74ed443349fafd00f9af94b3b7f894a35fdde8ab | [
"MIT"
] | null | null | null | train_models_array.py | wittenator/pimai | 74ed443349fafd00f9af94b3b7f894a35fdde8ab | [
"MIT"
] | null | null | null | train_models_array.py | wittenator/pimai | 74ed443349fafd00f9af94b3b7f894a35fdde8ab | [
"MIT"
] | null | null | null | from train import train
import itertools
for warmup_method,reparametrization in itertools.product(['cycle', 'tanh', 'none'], ['km', 'gamma']):
train(warmup_method=warmup_method,reparametrization=reparametrization,max_epoch=500)
| 38.5 | 102 | 0.792208 | 28 | 231 | 6.392857 | 0.642857 | 0.201117 | 0.324022 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014085 | 0.077922 | 231 | 5 | 103 | 46.2 | 0.826291 | 0 | 0 | 0 | 0 | 0 | 0.08658 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
cd9adae061683d406bf706e52731adbdfa8bfe5e | 6,269 | py | Python | loldib/getratings/models/NA/na_fizz/na_fizz_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_fizz/na_fizz_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_fizz/na_fizz_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | from getratings.models.ratings import Ratings
class NA_Fizz_Mid_Aatrox(Ratings):
pass
class NA_Fizz_Mid_Ahri(Ratings):
pass
class NA_Fizz_Mid_Akali(Ratings):
pass
class NA_Fizz_Mid_Alistar(Ratings):
pass
class NA_Fizz_Mid_Amumu(Ratings):
pass
class NA_Fizz_Mid_Anivia(Ratings):
pass
class NA_Fizz_Mid_Annie(Ratings):
pass
class NA_Fizz_Mid_Ashe(Ratings):
pass
class NA_Fizz_Mid_AurelionSol(Ratings):
pass
class NA_Fizz_Mid_Azir(Ratings):
pass
class NA_Fizz_Mid_Bard(Ratings):
pass
class NA_Fizz_Mid_Blitzcrank(Ratings):
pass
class NA_Fizz_Mid_Brand(Ratings):
pass
class NA_Fizz_Mid_Braum(Ratings):
pass
class NA_Fizz_Mid_Caitlyn(Ratings):
pass
class NA_Fizz_Mid_Camille(Ratings):
pass
class NA_Fizz_Mid_Cassiopeia(Ratings):
pass
class NA_Fizz_Mid_Chogath(Ratings):
pass
class NA_Fizz_Mid_Corki(Ratings):
pass
class NA_Fizz_Mid_Darius(Ratings):
pass
class NA_Fizz_Mid_Diana(Ratings):
pass
class NA_Fizz_Mid_Draven(Ratings):
pass
class NA_Fizz_Mid_DrMundo(Ratings):
pass
class NA_Fizz_Mid_Ekko(Ratings):
pass
class NA_Fizz_Mid_Elise(Ratings):
pass
class NA_Fizz_Mid_Evelynn(Ratings):
pass
class NA_Fizz_Mid_Ezreal(Ratings):
pass
class NA_Fizz_Mid_Fiddlesticks(Ratings):
pass
class NA_Fizz_Mid_Fiora(Ratings):
pass
class NA_Fizz_Mid_Fizz(Ratings):
pass
class NA_Fizz_Mid_Galio(Ratings):
pass
class NA_Fizz_Mid_Gangplank(Ratings):
pass
class NA_Fizz_Mid_Garen(Ratings):
pass
class NA_Fizz_Mid_Gnar(Ratings):
pass
class NA_Fizz_Mid_Gragas(Ratings):
pass
class NA_Fizz_Mid_Graves(Ratings):
pass
class NA_Fizz_Mid_Hecarim(Ratings):
pass
class NA_Fizz_Mid_Heimerdinger(Ratings):
pass
class NA_Fizz_Mid_Illaoi(Ratings):
pass
class NA_Fizz_Mid_Irelia(Ratings):
pass
class NA_Fizz_Mid_Ivern(Ratings):
pass
class NA_Fizz_Mid_Janna(Ratings):
pass
class NA_Fizz_Mid_JarvanIV(Ratings):
pass
class NA_Fizz_Mid_Jax(Ratings):
pass
class NA_Fizz_Mid_Jayce(Ratings):
pass
class NA_Fizz_Mid_Jhin(Ratings):
pass
class NA_Fizz_Mid_Jinx(Ratings):
pass
class NA_Fizz_Mid_Kalista(Ratings):
pass
class NA_Fizz_Mid_Karma(Ratings):
pass
class NA_Fizz_Mid_Karthus(Ratings):
pass
class NA_Fizz_Mid_Kassadin(Ratings):
pass
class NA_Fizz_Mid_Katarina(Ratings):
pass
class NA_Fizz_Mid_Kayle(Ratings):
pass
class NA_Fizz_Mid_Kayn(Ratings):
pass
class NA_Fizz_Mid_Kennen(Ratings):
pass
class NA_Fizz_Mid_Khazix(Ratings):
pass
class NA_Fizz_Mid_Kindred(Ratings):
pass
class NA_Fizz_Mid_Kled(Ratings):
pass
class NA_Fizz_Mid_KogMaw(Ratings):
pass
class NA_Fizz_Mid_Leblanc(Ratings):
pass
class NA_Fizz_Mid_LeeSin(Ratings):
pass
class NA_Fizz_Mid_Leona(Ratings):
pass
class NA_Fizz_Mid_Lissandra(Ratings):
pass
class NA_Fizz_Mid_Lucian(Ratings):
pass
class NA_Fizz_Mid_Lulu(Ratings):
pass
class NA_Fizz_Mid_Lux(Ratings):
pass
class NA_Fizz_Mid_Malphite(Ratings):
pass
class NA_Fizz_Mid_Malzahar(Ratings):
pass
class NA_Fizz_Mid_Maokai(Ratings):
pass
class NA_Fizz_Mid_MasterYi(Ratings):
pass
class NA_Fizz_Mid_MissFortune(Ratings):
pass
class NA_Fizz_Mid_MonkeyKing(Ratings):
pass
class NA_Fizz_Mid_Mordekaiser(Ratings):
pass
class NA_Fizz_Mid_Morgana(Ratings):
pass
class NA_Fizz_Mid_Nami(Ratings):
pass
class NA_Fizz_Mid_Nasus(Ratings):
pass
class NA_Fizz_Mid_Nautilus(Ratings):
pass
class NA_Fizz_Mid_Nidalee(Ratings):
pass
class NA_Fizz_Mid_Nocturne(Ratings):
pass
class NA_Fizz_Mid_Nunu(Ratings):
pass
class NA_Fizz_Mid_Olaf(Ratings):
pass
class NA_Fizz_Mid_Orianna(Ratings):
pass
class NA_Fizz_Mid_Ornn(Ratings):
pass
class NA_Fizz_Mid_Pantheon(Ratings):
pass
class NA_Fizz_Mid_Poppy(Ratings):
pass
class NA_Fizz_Mid_Quinn(Ratings):
pass
class NA_Fizz_Mid_Rakan(Ratings):
pass
class NA_Fizz_Mid_Rammus(Ratings):
pass
class NA_Fizz_Mid_RekSai(Ratings):
pass
class NA_Fizz_Mid_Renekton(Ratings):
pass
class NA_Fizz_Mid_Rengar(Ratings):
pass
class NA_Fizz_Mid_Riven(Ratings):
pass
class NA_Fizz_Mid_Rumble(Ratings):
pass
class NA_Fizz_Mid_Ryze(Ratings):
pass
class NA_Fizz_Mid_Sejuani(Ratings):
pass
class NA_Fizz_Mid_Shaco(Ratings):
pass
class NA_Fizz_Mid_Shen(Ratings):
pass
class NA_Fizz_Mid_Shyvana(Ratings):
pass
class NA_Fizz_Mid_Singed(Ratings):
pass
class NA_Fizz_Mid_Sion(Ratings):
pass
class NA_Fizz_Mid_Sivir(Ratings):
pass
class NA_Fizz_Mid_Skarner(Ratings):
pass
class NA_Fizz_Mid_Sona(Ratings):
pass
class NA_Fizz_Mid_Soraka(Ratings):
pass
class NA_Fizz_Mid_Swain(Ratings):
pass
class NA_Fizz_Mid_Syndra(Ratings):
pass
class NA_Fizz_Mid_TahmKench(Ratings):
pass
class NA_Fizz_Mid_Taliyah(Ratings):
pass
class NA_Fizz_Mid_Talon(Ratings):
pass
class NA_Fizz_Mid_Taric(Ratings):
pass
class NA_Fizz_Mid_Teemo(Ratings):
pass
class NA_Fizz_Mid_Thresh(Ratings):
pass
class NA_Fizz_Mid_Tristana(Ratings):
pass
class NA_Fizz_Mid_Trundle(Ratings):
pass
class NA_Fizz_Mid_Tryndamere(Ratings):
pass
class NA_Fizz_Mid_TwistedFate(Ratings):
pass
class NA_Fizz_Mid_Twitch(Ratings):
pass
class NA_Fizz_Mid_Udyr(Ratings):
pass
class NA_Fizz_Mid_Urgot(Ratings):
pass
class NA_Fizz_Mid_Varus(Ratings):
pass
class NA_Fizz_Mid_Vayne(Ratings):
pass
class NA_Fizz_Mid_Veigar(Ratings):
pass
class NA_Fizz_Mid_Velkoz(Ratings):
pass
class NA_Fizz_Mid_Vi(Ratings):
pass
class NA_Fizz_Mid_Viktor(Ratings):
pass
class NA_Fizz_Mid_Vladimir(Ratings):
pass
class NA_Fizz_Mid_Volibear(Ratings):
pass
class NA_Fizz_Mid_Warwick(Ratings):
pass
class NA_Fizz_Mid_Xayah(Ratings):
pass
class NA_Fizz_Mid_Xerath(Ratings):
pass
class NA_Fizz_Mid_XinZhao(Ratings):
pass
class NA_Fizz_Mid_Yasuo(Ratings):
pass
class NA_Fizz_Mid_Yorick(Ratings):
pass
class NA_Fizz_Mid_Zac(Ratings):
pass
class NA_Fizz_Mid_Zed(Ratings):
pass
class NA_Fizz_Mid_Ziggs(Ratings):
pass
class NA_Fizz_Mid_Zilean(Ratings):
pass
class NA_Fizz_Mid_Zyra(Ratings):
pass
| 15.033573 | 46 | 0.75642 | 972 | 6,269 | 4.452675 | 0.151235 | 0.223198 | 0.350739 | 0.446396 | 0.791359 | 0.791359 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177221 | 6,269 | 416 | 47 | 15.069712 | 0.839085 | 0 | 0 | 0.498195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.498195 | 0.00361 | 0 | 0.501805 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
26df5402a143eb73ae57765fe59b91d360b9d016 | 68 | py | Python | double3/double3sdk/gui/gui.py | CLOMING/winter2021_double | 9b920baaeb3736a785a6505310b972c49b5b21e9 | [
"Apache-2.0"
] | null | null | null | double3/double3sdk/gui/gui.py | CLOMING/winter2021_double | 9b920baaeb3736a785a6505310b972c49b5b21e9 | [
"Apache-2.0"
] | null | null | null | double3/double3sdk/gui/gui.py | CLOMING/winter2021_double | 9b920baaeb3736a785a6505310b972c49b5b21e9 | [
"Apache-2.0"
] | null | null | null | from double3sdk.double_api import _DoubleAPI
class _Gui:
pass
| 11.333333 | 44 | 0.779412 | 9 | 68 | 5.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018182 | 0.191176 | 68 | 5 | 45 | 13.6 | 0.890909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
f81527c662a5d6e6c9a26ee9d17304777f151cbc | 84 | py | Python | salesforce_api/const/__init__.py | octopyth/python-salesforce-api | 3f51995f7dc4ae965cb7a594f6f0fb8fcf35ec5d | [
"MIT"
] | 25 | 2019-05-20T06:38:45.000Z | 2022-02-22T02:10:37.000Z | salesforce_api/const/__init__.py | octopyth/python-salesforce-api | 3f51995f7dc4ae965cb7a594f6f0fb8fcf35ec5d | [
"MIT"
] | 19 | 2019-07-02T10:12:09.000Z | 2022-01-09T23:33:21.000Z | salesforce_api/const/__init__.py | octopyth/python-salesforce-api | 3f51995f7dc4ae965cb7a594f6f0fb8fcf35ec5d | [
"MIT"
] | 16 | 2019-12-04T20:45:16.000Z | 2021-12-17T23:29:29.000Z | from .misc import *
from .status import *
from .test import *
from .type import * | 21 | 22 | 0.690476 | 12 | 84 | 4.833333 | 0.5 | 0.517241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.214286 | 84 | 4 | 23 | 21 | 0.878788 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
f81eef94a821e5f404d977968e4807bb9d33839d | 385 | py | Python | test/run/t421.py | timmartin/skulpt | 2e3a3fbbaccc12baa29094a717ceec491a8a6750 | [
"MIT"
] | 2,671 | 2015-01-03T08:23:25.000Z | 2022-03-31T06:15:48.000Z | test/run/t421.py | timmartin/skulpt | 2e3a3fbbaccc12baa29094a717ceec491a8a6750 | [
"MIT"
] | 972 | 2015-01-05T08:11:00.000Z | 2022-03-29T13:47:15.000Z | test/run/t421.py | timmartin/skulpt | 2e3a3fbbaccc12baa29094a717ceec491a8a6750 | [
"MIT"
] | 845 | 2015-01-03T19:53:36.000Z | 2022-03-29T18:34:22.000Z | print repr(1)
print repr(100L)
print repr(1.5)
print repr([])
print repr([1,2,3,4])
print repr(())
print repr((1,2,3,4))
print repr({})
print repr({1:2,3:4})
print repr('')
print repr('hello world')
print repr(object())
class A(object):
def __init__(self): pass
print repr(A())
class B:
def __init__(self): pass
def __repr__(self): return 'custom repr'
print repr(B())
| 16.041667 | 44 | 0.649351 | 68 | 385 | 3.5 | 0.294118 | 0.529412 | 0.210084 | 0.302521 | 0.352941 | 0.352941 | 0.352941 | 0.352941 | 0.352941 | 0.352941 | 0 | 0.055385 | 0.155844 | 385 | 23 | 45 | 16.73913 | 0.676923 | 0 | 0 | 0.105263 | 0 | 0 | 0.057143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.105263 | 0 | null | null | 0.736842 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
f858fe67c3265e625daa5cd6dcf757918f7814e2 | 35 | py | Python | omniscient/kg/dbpedia/__init__.py | Impavidity/Omniscient | 4e51791739dc9c1b1399df42ff36e0920b4c1c5c | [
"Apache-2.0"
] | 2 | 2018-11-14T05:29:52.000Z | 2019-05-21T03:42:28.000Z | omniscient/kg/dbpedia/__init__.py | Impavidity/Omniscient | 4e51791739dc9c1b1399df42ff36e0920b4c1c5c | [
"Apache-2.0"
] | null | null | null | omniscient/kg/dbpedia/__init__.py | Impavidity/Omniscient | 4e51791739dc9c1b1399df42ff36e0920b4c1c5c | [
"Apache-2.0"
] | 2 | 2019-08-08T00:41:26.000Z | 2020-03-17T18:12:31.000Z | from omniscient.kg.dbpedia import * | 35 | 35 | 0.828571 | 5 | 35 | 5.8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085714 | 35 | 1 | 35 | 35 | 0.90625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
f86c553b490581b05ff5d5f3f5f08cac9cf335af | 29 | py | Python | BoydCut/__init__.py | zkan/BoydCut | f6810b5aa1bb4049c33caa7d46247e3a01d113b8 | [
"MIT"
] | 7 | 2020-08-11T04:22:45.000Z | 2021-06-07T03:38:14.000Z | BoydCut/__init__.py | zkan/BoydCut | f6810b5aa1bb4049c33caa7d46247e3a01d113b8 | [
"MIT"
] | 2 | 2020-08-18T10:20:38.000Z | 2020-10-25T16:22:07.000Z | BoydCut/__init__.py | zkan/BoydCut | f6810b5aa1bb4049c33caa7d46247e3a01d113b8 | [
"MIT"
] | 7 | 2020-08-11T04:22:50.000Z | 2021-04-28T09:45:48.000Z | from BoydCut.utility import * | 29 | 29 | 0.827586 | 4 | 29 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.103448 | 29 | 1 | 29 | 29 | 0.923077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
3e7c12a87467358bbd5d9657e89e5d31a72a4846 | 90 | py | Python | Intro/03 - checkPalindrome.py | lucasalme1da/codesignal | faff1ae635d04a33a1b59e6f751d266fabca5e71 | [
"MIT"
] | 2 | 2020-04-15T00:15:03.000Z | 2021-02-17T18:43:08.000Z | Intro/03 - checkPalindrome.py | lucasalme1da/codesignal | faff1ae635d04a33a1b59e6f751d266fabca5e71 | [
"MIT"
] | null | null | null | Intro/03 - checkPalindrome.py | lucasalme1da/codesignal | faff1ae635d04a33a1b59e6f751d266fabca5e71 | [
"MIT"
] | null | null | null | def checkPalindrome(inputString):
return list(inputString) == list(inputString)[::-1]
| 30 | 55 | 0.733333 | 9 | 90 | 7.333333 | 0.666667 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0125 | 0.111111 | 90 | 2 | 56 | 45 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
e42321c6b7f1f1fd9021deeffcef6f201e13c1fd | 2,873 | py | Python | knapsack/solver_test.py | tqa236/discrete-optimization | ec6a73f2d7b28c67ea4858b7275b447f8b7b5674 | [
"MIT"
] | null | null | null | knapsack/solver_test.py | tqa236/discrete-optimization | ec6a73f2d7b28c67ea4858b7275b447f8b7b5674 | [
"MIT"
] | null | null | null | knapsack/solver_test.py | tqa236/discrete-optimization | ec6a73f2d7b28c67ea4858b7275b447f8b7b5674 | [
"MIT"
] | null | null | null | import unittest
from solver import (knapsack_solver, maximum_value, parse_input,
parse_or_tools_input)
class Test(unittest.TestCase):
def test_homemade(self):
file_location = "data/ks_4_0"
with open(file_location, "r") as input_data_file:
input_data = input_data_file.read()
items, capacity = parse_input(input_data)
value, taken = maximum_value(items, capacity)
self.assertEqual(value, 19)
self.assertEqual(taken, [0, 0, 1, 1])
def test_1(self):
file_location = "data/ks_4_0"
with open(file_location, "r") as input_data_file:
input_data = input_data_file.read()
values, weights, capacities = parse_or_tools_input(input_data)
value, taken = knapsack_solver(values, weights, capacities)
self.assertEqual(value, 19)
self.assertEqual(taken, [0, 0, 1, 1])
def test_2(self):
file_location = "data/ks_lecture_dp_2"
with open(file_location, "r") as input_data_file:
input_data = input_data_file.read()
values, weights, capacities = parse_or_tools_input(input_data)
value, taken = knapsack_solver(values, weights, capacities)
weight = sum(weights[0][i] for i, value in enumerate(taken) if value == 1)
self.assertEqual(value, 44)
self.assertTrue(weight <= capacities[0])
def test_3(self):
file_location = "data/ks_19_0"
with open(file_location, "r") as input_data_file:
input_data = input_data_file.read()
values, weights, capacities = parse_or_tools_input(input_data)
value, taken = knapsack_solver(values, weights, capacities)
weight = sum(weights[0][i] for i, value in enumerate(taken) if value == 1)
self.assertEqual(value, 12248)
self.assertTrue(weight <= capacities[0])
def test_4(self):
file_location = "data/ks_50_0"
with open(file_location, "r") as input_data_file:
input_data = input_data_file.read()
values, weights, capacities = parse_or_tools_input(input_data)
value, taken = knapsack_solver(values, weights, capacities)
weight = sum(weights[0][i] for i, value in enumerate(taken) if value == 1)
self.assertEqual(value, 142156)
self.assertTrue(weight <= capacities[0])
def test_5(self):
file_location = "data/ks_200_0"
with open(file_location, "r") as input_data_file:
input_data = input_data_file.read()
values, weights, capacities = parse_or_tools_input(input_data)
value, taken = knapsack_solver(values, weights, capacities)
weight = sum(weights[0][i] for i, value in enumerate(taken) if value == 1)
self.assertEqual(value, 100236)
self.assertTrue(weight <= capacities[0])
if __name__ == "__main__":
unittest.main()
| 41.637681 | 82 | 0.655064 | 381 | 2,873 | 4.669291 | 0.152231 | 0.121417 | 0.08769 | 0.057336 | 0.871276 | 0.790894 | 0.790894 | 0.726813 | 0.726813 | 0.726813 | 0 | 0.028859 | 0.240167 | 2,873 | 68 | 83 | 42.25 | 0.786074 | 0 | 0 | 0.62069 | 0 | 0 | 0.03237 | 0 | 0 | 0 | 0 | 0 | 0.206897 | 1 | 0.103448 | false | 0 | 0.034483 | 0 | 0.155172 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
e447c334591758141b420843f7eb06126b4b5977 | 162 | py | Python | pyapple/__init__.py | fxrcha/Pyapple | 0d28ea0e85e096eb21639814ccff352b73281b99 | [
"MIT"
] | null | null | null | pyapple/__init__.py | fxrcha/Pyapple | 0d28ea0e85e096eb21639814ccff352b73281b99 | [
"MIT"
] | null | null | null | pyapple/__init__.py | fxrcha/Pyapple | 0d28ea0e85e096eb21639814ccff352b73281b99 | [
"MIT"
] | null | null | null | from .client import Apple
from .src import Jailbreak, IPSWME, SHSH2, SWSCAN
__version__ = "2.0.0"
__all__ = ["Apple", "Jailbreak", "IPSWME", "SHSH2", "SWSCAN"]
| 23.142857 | 61 | 0.691358 | 21 | 162 | 4.952381 | 0.619048 | 0.288462 | 0.384615 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035971 | 0.141975 | 162 | 6 | 62 | 27 | 0.71223 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
e48d0efa179a6a61377e8ba3aa665b4fa795eb4e | 95 | py | Python | ace/cli/__init__.py | ace-ecosystem/ace2-core | a0de6b90f7437a98b1ee6ebcc693fa14f4b13c53 | [
"Apache-2.0"
] | null | null | null | ace/cli/__init__.py | ace-ecosystem/ace2-core | a0de6b90f7437a98b1ee6ebcc693fa14f4b13c53 | [
"Apache-2.0"
] | 11 | 2020-12-30T03:13:09.000Z | 2021-05-02T14:09:32.000Z | ace/cli/__init__.py | ace-ecosystem/ace2-core | a0de6b90f7437a98b1ee6ebcc693fa14f4b13c53 | [
"Apache-2.0"
] | 1 | 2022-03-16T20:44:16.000Z | 2022-03-16T20:44:16.000Z | from ace.cli.system import CommandLineSystem
from ace.cli.arguments import initialize_argparse
| 31.666667 | 49 | 0.873684 | 13 | 95 | 6.307692 | 0.692308 | 0.170732 | 0.243902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084211 | 95 | 2 | 50 | 47.5 | 0.942529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
e4f5298e7ae8a1ad30c89c51ef1e8dcfaa7a7ea4 | 124 | py | Python | src/core/utils.py | amanprodigy/tweetme | 6e61adc2d1e2c8c78b23a5bccf912a6737b327e4 | [
"MIT"
] | null | null | null | src/core/utils.py | amanprodigy/tweetme | 6e61adc2d1e2c8c78b23a5bccf912a6737b327e4 | [
"MIT"
] | null | null | null | src/core/utils.py | amanprodigy/tweetme | 6e61adc2d1e2c8c78b23a5bccf912a6737b327e4 | [
"MIT"
] | null | null | null | import re
URL_REGEX = 'https?://(?:[-\w.]|(?:%[\da-fA-F]{2}))+'
def get_urls(url):
return re.findall(URL_REGEX, url)
| 15.5 | 53 | 0.564516 | 20 | 124 | 3.35 | 0.75 | 0.238806 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009346 | 0.137097 | 124 | 7 | 54 | 17.714286 | 0.616822 | 0 | 0 | 0 | 0 | 0 | 0.314516 | 0.314516 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0.25 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
9006923d2b90220116b7082ab572be92c199b37d | 1,426 | py | Python | test/exploits/bombs/compression/test_pdf.py | drjerry/acsploit | fbe07fb0eb651e3c5fc27a0dbdfcd0ec4c674381 | [
"BSD-3-Clause"
] | 107 | 2018-05-03T16:53:01.000Z | 2022-02-23T14:47:20.000Z | test/exploits/bombs/compression/test_pdf.py | drjerry/acsploit | fbe07fb0eb651e3c5fc27a0dbdfcd0ec4c674381 | [
"BSD-3-Clause"
] | 7 | 2019-04-28T00:41:35.000Z | 2021-05-04T20:35:54.000Z | test/exploits/bombs/compression/test_pdf.py | drjerry/acsploit | fbe07fb0eb651e3c5fc27a0dbdfcd0ec4c674381 | [
"BSD-3-Clause"
] | 16 | 2019-03-29T12:39:16.000Z | 2021-03-03T11:09:45.000Z | import pytest
from exploits.bombs.compression import pdf
from test.exploits.dummy_output import DummyOutput
# TODO check that the output meets the input requirements
def test_small_bomb():
output = DummyOutput()
target_payload_memory = 1000
pdf.options['target_payload_memory'] = target_payload_memory
pdf.run(output)
assert len(output) == 1
def test_100mb_bomb():
output = DummyOutput()
target_payload_memory = 10**8
pdf.options['target_payload_memory'] = target_payload_memory
pdf.run(output)
assert len(output) == 1
def test_1gb_bomb():
output = DummyOutput()
target_payload_memory = 10**9
pdf.options['target_payload_memory'] = target_payload_memory
pdf.run(output)
assert len(output) == 1
def test_10gb_bomb():
output = DummyOutput()
target_payload_memory = 10**10
pdf.options['target_payload_memory'] = target_payload_memory
pdf.run(output)
assert len(output) == 1
def test_100gb_failed_bomb():
output = DummyOutput()
target_payload_memory = 10**11
pdf.options['target_payload_memory'] = target_payload_memory
with pytest.raises(ValueError):
pdf.run(output)
def test_time_multiplier_bomb():
output = DummyOutput()
target_payload_memory = 1000
pdf.options['target_payload_memory'] = target_payload_memory
pdf.options['time_multiplier'] = 2
pdf.run(output)
assert len(output) == 1
| 25.927273 | 64 | 0.721599 | 185 | 1,426 | 5.281081 | 0.243243 | 0.239509 | 0.350051 | 0.165814 | 0.731832 | 0.731832 | 0.731832 | 0.531218 | 0.482088 | 0.482088 | 0 | 0.031678 | 0.180926 | 1,426 | 54 | 65 | 26.407407 | 0.804795 | 0.038569 | 0 | 0.625 | 0 | 0 | 0.102995 | 0.092038 | 0 | 0 | 0 | 0.018519 | 0.125 | 1 | 0.15 | false | 0 | 0.075 | 0 | 0.225 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
903746c7cc897a4a0d9a322e5dbb5665b49f67c2 | 4,772 | py | Python | rlpyt/samplers/prevec/collections.py | DavidSlayback/rlpyt | 445adbd3917842caae0cae0d06e4b2866c8f1258 | [
"MIT"
] | null | null | null | rlpyt/samplers/prevec/collections.py | DavidSlayback/rlpyt | 445adbd3917842caae0cae0d06e4b2866c8f1258 | [
"MIT"
] | null | null | null | rlpyt/samplers/prevec/collections.py | DavidSlayback/rlpyt | 445adbd3917842caae0cae0d06e4b2866c8f1258 | [
"MIT"
] | null | null | null | from rlpyt.utils.collections import namedarraytuple, AttrDict
import numpy as np
class TrajInfoVec(AttrDict):
"""
Because it inits as an AttrDict, this has the methods of a dictionary,
e.g. the attributes can be iterated through by traj_info.items()
Intent: all attributes not starting with underscore "_" will be logged.
(Can subclass for more fields.)
Convention: traj_info fields CamelCase, opt_info fields lowerCamelCase.
This is a version for use with vectorized environments, all inputs are batched
I'm also not taking traj_done into account, since it doesn't apply to the environments I'll use this for
"""
_discount = 1 # Leading underscore, but also class attr not in self.__dict__.
def __init__(self, B=1, **kwargs):
super().__init__(**kwargs) # (for AttrDict behavior)
self.Length = np.zeros(B)
self.Return = np.zeros(B)
self.NonzeroRewards = np.zeros(B)
self.DiscountedReturn = np.zeros(B)
self._cur_discount = np.ones(B)
def step(self, observation, action, reward, done, agent_info, env_info, reset_dones=False):
""" Step AND take dones into account"""
self.Length += 1
self.Return+= reward
self.NonzeroRewards[reward != 0] += 1
self.DiscountedReturn += self._cur_discount * reward
self._cur_discount *= self._discount
if reset_dones:
self.reset_dones(done)
def reset_dones(self, done):
l_A, r_A, nr_A, dr_A, _cd_A = self.Length[done], self.Return[done], self.NonzeroRewards[done], self.DiscountedReturn[done], self._cur_discount[done]
completed_infos = [AttrDict(Length=l,
Return=r,
NonzeroRewards=nr,
DiscountedReturn=dr,
_cur_discount=_cd,
_discount=self._discount) for l, r, nr, dr, _cd in zip(l_A, r_A, nr_A, dr_A, _cd_A)]
self.Length[done], self.Return[done], self.NonzeroRewards[done], self.DiscountedReturn[done], self._cur_discount[done] = 0, 0., 0., 0., 1.
return completed_infos
def terminate(self, done):
return self.reset_dones(done)
class TrajInfoVecGPU(AttrDict):
"""
Because it inits as an AttrDict, this has the methods of a dictionary,
e.g. the attributes can be iterated through by traj_info.items()
Intent: all attributes not starting with underscore "_" will be logged.
(Can subclass for more fields.)
Convention: traj_info fields CamelCase, opt_info fields lowerCamelCase.
This is a version for use with vectorized environments, all inputs are batched cuda tensors
I'm also not taking traj_done into account, since it doesn't apply to the environments I'll use this for
"""
_discount = 1 # Leading underscore, but also class attr not in self.__dict__.
def __init__(self, B=1, **kwargs):
import torch
super().__init__(**kwargs) # (for AttrDict behavior)
device = 'cuda'
self.Length = torch.zeros(B, device=device)
self.Return = torch.zeros_like(self.Length)
self.NonzeroRewards = torch.zeros_like(self.Length)
self.DiscountedReturn = torch.zeros_like(self.Length)
self._cur_discount = torch.ones_like(self.Length)
def step(self, observation, action, reward, done, agent_info, env_info, reset_dones=False):
""" Step AND take dones into account if reset_dones is True"""
self.Length += 1
self.Return+= reward
self.NonzeroRewards[reward != 0] += 1
self.DiscountedReturn += self._cur_discount * reward
self._cur_discount *= self._discount
if reset_dones:
self.reset_dones(done)
def reset_dones(self, done):
done = done.bool()
l_A, r_A, nr_A, dr_A, _cd_A = self.Length[done].cpu().numpy(), self.Return[done].cpu().numpy(), \
self.NonzeroRewards[done].cpu().numpy(), self.DiscountedReturn[done].cpu().numpy(), \
self._cur_discount[done].cpu().numpy()
completed_infos = [AttrDict(Length=l,
Return=r,
NonzeroRewards=nr,
DiscountedReturn=dr,
_cur_discount=_cd,
_discount=self._discount) for l, r, nr, dr, _cd in zip(l_A, r_A, nr_A, dr_A, _cd_A)]
self.Length[done], self.Return[done], self.NonzeroRewards[done], self.DiscountedReturn[done], self._cur_discount[done] = 0, 0., 0., 0., 1.
return completed_infos
def terminate(self, dones):
return self.reset_dones(dones) | 48.693878 | 156 | 0.624895 | 615 | 4,772 | 4.658537 | 0.2 | 0.041885 | 0.052356 | 0.016754 | 0.803839 | 0.803839 | 0.750785 | 0.750785 | 0.750785 | 0.750785 | 0 | 0.00579 | 0.276194 | 4,772 | 98 | 157 | 48.693878 | 0.823683 | 0.265717 | 0 | 0.615385 | 0 | 0 | 0.001173 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.123077 | false | 0 | 0.046154 | 0.030769 | 0.292308 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
5f3b2ec305be4e53d7572bfe1c2b14986eb1742d | 147 | py | Python | clapbot/cl/model/__init__.py | alexrudy/ClapBot | fc6149cbd20b8afd6ffd3d5c7a4836100a509215 | [
"MIT"
] | 2 | 2017-05-04T18:33:51.000Z | 2017-05-04T18:34:17.000Z | clapbot/cl/model/__init__.py | alexrudy/ClapBot | fc6149cbd20b8afd6ffd3d5c7a4836100a509215 | [
"MIT"
] | 2 | 2020-05-26T23:50:43.000Z | 2021-03-26T21:39:30.000Z | clapbot/cl/model/__init__.py | alexrudy/ClapBot | fc6149cbd20b8afd6ffd3d5c7a4836100a509215 | [
"MIT"
] | null | null | null | from .listing import Listing
from .image import Image
from . import image
from . import site
from . import scrape
__all__ = ['Listing', 'Image']
| 16.333333 | 30 | 0.734694 | 20 | 147 | 5.2 | 0.35 | 0.288462 | 0.288462 | 0.403846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.176871 | 147 | 8 | 31 | 18.375 | 0.859504 | 0 | 0 | 0 | 0 | 0 | 0.081633 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.833333 | 0 | 0.833333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
5f45bf1d07cae19c2c4b012b1459a2e90a959415 | 192 | py | Python | Week 1: Integers, I-O, simple string operations/13.py | MLunov/Python-programming-basics-HSE | 7df8bba105db84d6b932c454fdc39193a648254e | [
"MIT"
] | null | null | null | Week 1: Integers, I-O, simple string operations/13.py | MLunov/Python-programming-basics-HSE | 7df8bba105db84d6b932c454fdc39193a648254e | [
"MIT"
] | null | null | null | Week 1: Integers, I-O, simple string operations/13.py | MLunov/Python-programming-basics-HSE | 7df8bba105db84d6b932c454fdc39193a648254e | [
"MIT"
] | null | null | null | number = int(input())
print('The next number for the number', number, 'is', number+1, end='')
print('.')
print('The previous number for the number', number, 'is', number-1, end='')
print('.')
| 32 | 75 | 0.645833 | 29 | 192 | 4.275862 | 0.37931 | 0.129032 | 0.193548 | 0.290323 | 0.66129 | 0.66129 | 0.66129 | 0.66129 | 0.66129 | 0.66129 | 0 | 0.011976 | 0.130208 | 192 | 5 | 76 | 38.4 | 0.730539 | 0 | 0 | 0.4 | 0 | 0 | 0.364583 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.8 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
398fc4453268f88336cc71bacf9075179f313353 | 649 | gyp | Python | node_modules/jwcrypto/node_modules/bigint/binding.gyp | openilabs/crypto | 4c053a7c932f4afb5ec09b468496e861b5fc5ef1 | [
"MIT"
] | 1 | 2021-03-10T16:24:06.000Z | 2021-03-10T16:24:06.000Z | node_modules/jwcrypto/node_modules/bigint/binding.gyp | openilabs/crypto | 4c053a7c932f4afb5ec09b468496e861b5fc5ef1 | [
"MIT"
] | null | null | null | node_modules/jwcrypto/node_modules/bigint/binding.gyp | openilabs/crypto | 4c053a7c932f4afb5ec09b468496e861b5fc5ef1 | [
"MIT"
] | null | null | null | {
'targets': [
{
'target_name': 'bigint',
'sources': [ 'bigint.cc' ],
'conditions': [
['OS=="linux"',
{
'link_settings': {
'libraries': [
'-lgmp'
]
}
}
],
['OS=="mac"',
{
'link_settings': {
'libraries': [
'-lgmp'
]
}
}
],
['OS=="win"',
{
'link_settings': {
'libraries': [
'-lgmp.lib'
],
}
}
]
]
}
]
}
| 17.078947 | 33 | 0.226502 | 27 | 649 | 5.296296 | 0.592593 | 0.251748 | 0.440559 | 0.524476 | 0.377622 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.61171 | 649 | 37 | 34 | 17.540541 | 0.56746 | 0 | 0 | 0.297297 | 0 | 0 | 0.252696 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
399bccc4cf838b8329840fe2612be5d06ae5f416 | 2,998 | py | Python | tests/test_docstring.py | AlexanderSemenyak/webviz-config | 3602901f215033bddd484ea1c13013a8addaf012 | [
"MIT"
] | 44 | 2019-04-07T18:46:00.000Z | 2022-03-28T02:35:58.000Z | tests/test_docstring.py | AlexanderSemenyak/webviz-config | 3602901f215033bddd484ea1c13013a8addaf012 | [
"MIT"
] | 312 | 2019-03-29T11:49:53.000Z | 2022-03-07T12:06:34.000Z | tests/test_docstring.py | AlexanderSemenyak/webviz-config | 3602901f215033bddd484ea1c13013a8addaf012 | [
"MIT"
] | 46 | 2019-03-29T07:23:16.000Z | 2022-03-28T02:35:59.000Z | from webviz_config._docs._build_docs import _split_docstring
def test_split_docstring():
tests = [
(
"This is a test with only description.",
["This is a test with only description."],
),
(
(
" This is a test with only description, "
"but which has leading and trailing spaces. "
),
[
(
"This is a test with only description, "
"but which has leading and trailing spaces."
)
],
),
(
"Test with some newlines\n\n \n and a 4 space indent",
["Test with some newlines\n\n\nand a 4 space indent"],
),
(
"Test with a \n 4 space and a \n 2 space indent\n",
["Test with a \n 4 space and a \n2 space indent"],
),
(
"Test with a \n 4 space and a \n 2 space indent\n",
["Test with a \n 4 space and a \n2 space indent"],
),
(
(
" This is a test with description, arguments and data input."
"\n\n ---\n\n The docstring is indented by 4 spaces:\n "
"* The argument list has a sub list indented by 8 spaces\n like this."
"\n ---\n The data input section is not very interesting."
),
[
"This is a test with description, arguments and data input.\n",
(
"\nThe docstring is indented by 4 spaces:\n"
"* The argument list has a sub list indented by 8 spaces\n like this."
),
"The data input section is not very interesting.",
],
),
(
(
"\tThis is a test with description, arguments and data input,"
" where indents are made with tabs and not spaces-"
"\n\n\t---\n\n\tThe docstring is indented by 1 tab:\n"
"\t* The argument list has a sub list indented by 2 tabs\n\t\tlike this."
"\n\t---\n\tThe data input section is not very interesting."
),
[
(
"This is a test with description, arguments and data input,"
" where indents are made with tabs and not spaces-\n"
),
(
"\nThe docstring is indented by 1 tab:\n"
"* The argument list has a sub list indented by 2 tabs\n\tlike this."
),
"The data input section is not very interesting.",
],
),
(
"This is a test with only description, which includes a linebreak.\n",
["This is a test with only description, which includes a linebreak."],
),
]
for test in tests:
assert _split_docstring(test[0]) == test[1]
| 38.935065 | 93 | 0.470647 | 357 | 2,998 | 3.92437 | 0.184874 | 0.091363 | 0.049964 | 0.078515 | 0.877231 | 0.877231 | 0.829408 | 0.793005 | 0.793005 | 0.762313 | 0 | 0.012005 | 0.444296 | 2,998 | 76 | 94 | 39.447368 | 0.828932 | 0 | 0 | 0.391892 | 0 | 0.013514 | 0.567045 | 0 | 0 | 0 | 0 | 0 | 0.013514 | 1 | 0.013514 | false | 0 | 0.013514 | 0 | 0.027027 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
399d76f5f8c679468692a65a37f0a8f2a0fbf5be | 13,065 | py | Python | pyembroidery/PngWriter.py | kryshac/pyembroidery | 54987b6919b99f4c59f6a1b88b99ec5cb635ba71 | [
"MIT"
] | 83 | 2018-08-20T22:52:18.000Z | 2022-03-30T07:44:37.000Z | pyembroidery/PngWriter.py | kryshac/pyembroidery | 54987b6919b99f4c59f6a1b88b99ec5cb635ba71 | [
"MIT"
] | 81 | 2018-08-12T15:43:23.000Z | 2022-01-05T14:59:51.000Z | pyembroidery/PngWriter.py | kryshac/pyembroidery | 54987b6919b99f4c59f6a1b88b99ec5cb635ba71 | [
"MIT"
] | 21 | 2019-02-25T13:31:37.000Z | 2022-03-08T08:44:05.000Z | import struct
import zlib
from .EmbConstant import *
from .EmbThread import EmbThread
SEQUIN_CONTINGENCY = CONTINGENCY_SEQUIN_STITCH
FULL_JUMP = True
characters = {
"0": [
[9, 9, 4, 1, 0, 1, 5, 9, 9],
[9, 3, 0, 0, 0, 0, 0, 5, 9],
[7, 0, 1, 7, 9, 6, 0, 0, 9],
[4, 0, 5, 9, 9, 9, 4, 0, 6],
[3, 0, 8, 9, 9, 9, 6, 0, 4],
[2, 0, 9, 5, 0, 6, 8, 0, 3],
[2, 0, 9, 4, 0, 6, 8, 0, 3],
[2, 0, 9, 9, 9, 9, 8, 0, 3],
[3, 0, 8, 9, 9, 9, 6, 0, 4],
[4, 0, 5, 9, 9, 9, 4, 0, 6],
[7, 0, 1, 7, 9, 6, 0, 0, 8],
[9, 3, 0, 0, 0, 0, 0, 5, 9],
[9, 9, 4, 1, 0, 1, 5, 9, 9],
],
"1": [
[9, 8, 5, 2, 0, 1, 9, 9, 9],
[9, 1, 0, 0, 0, 1, 9, 9, 9],
[9, 2, 4, 7, 1, 1, 9, 9, 9],
[9, 9, 9, 9, 1, 1, 9, 9, 9],
[9, 9, 9, 9, 1, 1, 9, 9, 9],
[9, 9, 9, 9, 1, 1, 9, 9, 9],
[9, 9, 9, 9, 1, 1, 9, 9, 9],
[9, 9, 9, 9, 1, 1, 9, 9, 9],
[9, 9, 9, 9, 1, 1, 9, 9, 9],
[9, 9, 9, 9, 1, 1, 9, 9, 9],
[9, 9, 9, 9, 1, 1, 9, 9, 9],
[9, 3, 0, 0, 0, 0, 0, 0, 3],
[9, 3, 0, 0, 0, 0, 0, 0, 3],
],
"2": [
[8, 5, 2, 1, 1, 2, 6, 9, 9],
[4, 0, 0, 0, 0, 0, 0, 4, 9],
[5, 4, 7, 8, 8, 5, 0, 0, 8],
[9, 9, 9, 9, 9, 9, 3, 0, 7],
[9, 9, 9, 9, 9, 9, 3, 0, 9],
[9, 9, 9, 9, 9, 8, 0, 4, 9],
[9, 9, 9, 9, 8, 1, 2, 9, 9],
[9, 9, 9, 8, 2, 2, 9, 9, 9],
[9, 9, 8, 1, 2, 9, 9, 9, 9],
[9, 8, 1, 2, 9, 9, 9, 9, 9],
[7, 1, 2, 9, 9, 9, 9, 9, 9],
[3, 0, 0, 0, 0, 0, 0, 0, 6],
[3, 0, 0, 0, 0, 0, 0, 0, 6],
],
"3": [
[9, 6, 2, 1, 1, 2, 6, 9, 9],
[5, 0, 0, 0, 0, 0, 0, 4, 9],
[6, 3, 7, 8, 9, 6, 1, 0, 8],
[9, 9, 9, 9, 9, 9, 3, 0, 8],
[9, 9, 9, 9, 8, 6, 1, 1, 9],
[9, 9, 4, 0, 0, 0, 2, 8, 9],
[9, 9, 4, 0, 0, 0, 2, 8, 9],
[9, 9, 9, 9, 8, 6, 1, 1, 8],
[9, 9, 9, 9, 9, 9, 5, 0, 6],
[9, 9, 9, 9, 9, 9, 5, 0, 5],
[3, 5, 7, 9, 8, 6, 1, 0, 7],
[2, 0, 0, 0, 0, 0, 0, 3, 9],
[8, 4, 2, 0, 1, 2, 5, 9, 9],
],
"4": [
[9, 9, 9, 9, 7, 0, 0, 7, 9],
[9, 9, 9, 9, 2, 1, 0, 7, 9],
[9, 9, 9, 5, 2, 4, 0, 7, 9],
[9, 9, 8, 1, 7, 4, 0, 7, 9],
[9, 9, 3, 4, 9, 4, 0, 7, 9],
[9, 6, 1, 9, 9, 4, 0, 7, 9],
[8, 1, 6, 9, 9, 4, 0, 7, 9],
[4, 3, 9, 9, 9, 4, 0, 7, 9],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[9, 9, 9, 9, 9, 4, 0, 7, 9],
[9, 9, 9, 9, 9, 4, 0, 7, 9],
[9, 9, 9, 9, 9, 4, 0, 7, 9],
],
"5": [
[7, 0, 0, 0, 0, 0, 0, 5, 9],
[7, 0, 0, 0, 0, 0, 0, 5, 9],
[7, 0, 5, 9, 9, 9, 9, 9, 9],
[7, 0, 5, 9, 9, 9, 9, 9, 9],
[7, 0, 1, 1, 0, 2, 6, 9, 9],
[7, 0, 0, 0, 0, 0, 0, 5, 9],
[7, 4, 7, 9, 8, 4, 0, 0, 9],
[9, 9, 9, 9, 9, 9, 3, 0, 6],
[9, 9, 9, 9, 9, 9, 5, 0, 6],
[9, 9, 9, 9, 9, 9, 3, 0, 6],
[3, 5, 8, 9, 8, 5, 0, 0, 9],
[2, 0, 0, 0, 0, 0, 0, 6, 9],
[8, 4, 1, 0, 1, 2, 7, 9, 9],
],
"6": [
[9, 9, 7, 2, 1, 0, 3, 8, 9],
[9, 6, 0, 0, 0, 0, 0, 3, 9],
[8, 0, 0, 4, 8, 9, 6, 4, 9],
[5, 0, 4, 9, 9, 9, 9, 9, 9],
[3, 0, 8, 9, 9, 9, 9, 9, 9],
[2, 1, 8, 3, 0, 1, 3, 8, 9],
[2, 2, 2, 0, 0, 0, 0, 1, 8],
[2, 0, 2, 7, 9, 8, 2, 0, 5],
[3, 0, 7, 9, 9, 9, 7, 0, 3],
[4, 0, 7, 9, 9, 9, 7, 0, 3],
[7, 0, 2, 7, 9, 8, 2, 0, 5],
[9, 3, 0, 0, 0, 0, 0, 1, 8],
[9, 9, 4, 1, 0, 1, 3, 8, 9],
],
"7": [
[2, 0, 0, 0, 0, 0, 0, 0, 5],
[2, 0, 0, 0, 0, 0, 0, 0, 7],
[9, 9, 9, 9, 9, 9, 3, 2, 9],
[9, 9, 9, 9, 9, 8, 0, 5, 9],
[9, 9, 9, 9, 9, 4, 0, 8, 9],
[9, 9, 9, 9, 9, 1, 3, 9, 9],
[9, 9, 9, 9, 6, 0, 6, 9, 9],
[9, 9, 9, 9, 2, 1, 9, 9, 9],
[9, 9, 9, 7, 0, 4, 9, 9, 9],
[9, 9, 9, 3, 0, 8, 9, 9, 9],
[9, 9, 8, 0, 2, 9, 9, 9, 9],
[9, 9, 5, 0, 6, 9, 9, 9, 9],
[9, 9, 1, 0, 9, 9, 9, 9, 9],
],
"8": [
[9, 8, 3, 1, 0, 1, 4, 8, 9],
[8, 1, 0, 0, 0, 0, 0, 1, 9],
[5, 0, 3, 8, 9, 7, 2, 0, 6],
[5, 0, 7, 9, 9, 9, 5, 0, 6],
[7, 0, 3, 8, 9, 7, 2, 1, 8],
[9, 7, 2, 0, 0, 0, 2, 7, 9],
[9, 5, 1, 0, 0, 0, 1, 6, 9],
[6, 0, 3, 8, 9, 7, 2, 0, 7],
[2, 0, 9, 9, 9, 9, 7, 0, 4],
[2, 0, 9, 9, 9, 9, 7, 0, 3],
[3, 0, 3, 8, 9, 7, 2, 0, 4],
[7, 0, 0, 0, 0, 0, 0, 1, 8],
[9, 8, 3, 1, 0, 1, 4, 8, 9],
],
"9": [
[9, 7, 3, 0, 0, 2, 6, 9, 9],
[7, 0, 0, 0, 0, 0, 0, 5, 9],
[3, 0, 4, 8, 9, 7, 1, 0, 9],
[1, 0, 9, 9, 9, 9, 5, 0, 6],
[1, 1, 9, 9, 9, 9, 5, 0, 5],
[3, 0, 4, 8, 9, 7, 1, 0, 4],
[7, 0, 0, 0, 0, 0, 3, 0, 4],
[9, 7, 2, 0, 1, 4, 7, 0, 4],
[9, 9, 9, 9, 9, 9, 5, 0, 5],
[9, 9, 9, 9, 9, 9, 2, 0, 7],
[9, 3, 7, 9, 8, 3, 0, 2, 9],
[9, 1, 0, 0, 0, 0, 0, 7, 9],
[9, 7, 2, 0, 1, 3, 8, 9, 9],
],
"-": [
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 1, 0, 0, 0, 3, 9, 9],
[9, 9, 1, 0, 0, 0, 3, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
],
"m": [
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[9, 9, 9, 9, 9, 9, 9, 9, 9],
[0, 5, 2, 1, 7, 6, 1, 2, 8],
[0, 1, 0, 0, 1, 1, 0, 0, 3],
[0, 2, 9, 4, 0, 4, 8, 2, 1],
[0, 5, 9, 6, 0, 7, 9, 4, 1],
[0, 5, 9, 6, 0, 7, 9, 4, 0],
[0, 5, 9, 6, 0, 7, 9, 4, 0],
[0, 5, 9, 6, 0, 7, 9, 4, 0],
[0, 5, 9, 6, 0, 7, 9, 4, 0],
[0, 5, 9, 6, 0, 7, 9, 4, 0],
[0, 5, 9, 6, 0, 7, 9, 4, 0],
],
}
def write_png(buf, width, height):
width_byte_4 = width * 4
raw_data = b"".join(
b"\x00" + buf[span : span + width_byte_4]
for span in range(0, height * width * 4, width_byte_4)
)
def png_pack(png_tag, data):
chunk_head = png_tag + data
return (
struct.pack("!I", len(data))
+ chunk_head
+ struct.pack("!I", 0xFFFFFFFF & zlib.crc32(chunk_head))
)
return b"".join(
[
b"\x89PNG\r\n\x1a\n",
png_pack(b"IHDR", struct.pack("!2I5B", width, height, 8, 6, 0, 0, 0)),
png_pack(b"IDAT", zlib.compress(raw_data, 9)),
png_pack(b"IEND", b""),
]
)
class PngBuffer:
def __init__(self, width, height):
self.width = int(width + 3)
self.height = int(height + 3)
self.buf = [0] * (4 * self.width * self.height)
self.red = 0
self.green = 0
self.blue = 0
self.alpha = 0
self.line_width = 3
def background(self, red, green, blue, alpha):
for i in range(0, len(self.buf), 4):
self.buf[i] = red
self.buf[i + 1] = green
self.buf[i + 2] = blue
self.buf[i + 3] = alpha
def plot(self, x, y):
try:
x += 1
y += 1
pos = (self.width * y) + x
idx = pos * 4
self.buf[idx] = self.red
self.buf[idx + 1] = self.green
self.buf[idx + 2] = self.blue
self.buf[idx + 3] = self.alpha
except IndexError:
pass
def draw_line(self, x0, y0, x1, y1):
dy = y1 - y0 # BRESENHAM LINE DRAW ALGORITHM
dx = x1 - x0
if dy < 0:
dy = -dy
step_y = -1
else:
step_y = 1
if dx < 0:
dx = -dx
step_x = -1
else:
step_x = 1
if dx > dy:
dy <<= 1 # dy is now 2*dy
dx <<= 1
fraction = dy - (dx >> 1) # same as 2*dy - dx
self.line_for_point(x0, y0, False)
while x0 != x1:
if fraction >= 0:
y0 += step_y
fraction -= dx # same as fraction -= 2*dx
x0 += step_x
fraction += dy # same as fraction += 2*dy
self.line_for_point(x0, y0, False)
else:
dy <<= 1 # dy is now 2*dy
dx <<= 1 # dx is now 2*dx
fraction = dx - (dy >> 1)
self.line_for_point(x0, y0, True)
while y0 != y1:
if fraction >= 0:
x0 += step_x
fraction -= dy
y0 += step_y
fraction += dx
self.line_for_point(x0, y0, True)
def line_for_point(self, x, y, dy):
w = self.line_width
left = w >> 1
right = w - left
if dy:
for pos in range(-left, right):
self.plot(x + pos, y)
else:
for pos in range(-left, right):
self.plot(x, y + pos)
def draw_text(self, x, y, string, rotate=False):
for c in string:
m = characters[c]
for cx in range(len(m[0])):
for cy in range(len(m)):
v = m[cy][cx]
if v == 9:
continue
if rotate:
gx = x + (len(m) - cy) + 1
gy = y + cx + 2
else:
gx = x + cx + 2
gy = y + cy + 2
pos = (self.width * gy) + gx
idx = pos * 4
a2 = (9.0 - v) / 9.0
r = (1.0 - a2) * self.buf[idx]
g = (1.0 - a2) * self.buf[idx + 1]
b = (1.0 - a2) * self.buf[idx + 2]
a1 = self.buf[idx + 3] / 255.0
a = a2 + a1 * (1.0 - a2)
try:
self.buf[idx] = int(r)
self.buf[idx + 1] = int(g)
self.buf[idx + 2] = int(b)
self.buf[idx + 3] = int(a * 255)
except IndexError:
pass
if rotate:
y += 11
else:
x += 11
def write(pattern, f, settings=None):
guides = settings.get("guides", False)
extends = pattern.bounds()
pattern.translate(-extends[0], -extends[1])
width = int(extends[2] - extends[0])
height = int(extends[3] - extends[1])
draw_buff = PngBuffer(width, height)
if settings is not None:
background = settings.get("background", None)
linewidth = settings.get("linewidth", None)
if background is not None:
b = EmbThread()
b.set(background)
draw_buff.background(b.get_red(), b.get_green(), b.get_blue(), 0xFF)
if linewidth is not None and isinstance(linewidth, int):
draw_buff.line_width = linewidth
for stitchblock in pattern.get_as_stitchblock():
block = stitchblock[0]
thread = stitchblock[1]
draw_buff.red = thread.get_red()
draw_buff.green = thread.get_green()
draw_buff.blue = thread.get_blue()
draw_buff.alpha = 255
last_x = None
last_y = None
for stitch in block:
x = int(stitch[0])
y = int(stitch[1])
if last_x is not None:
draw_buff.draw_line(last_x, last_y, x, y)
last_x = x
last_y = y
if guides:
draw_buff.red = 0
draw_buff.green = 0
draw_buff.blue = 0
draw_buff.alpha = 255
draw_buff.line_width = 1
min_x = extends[0]
min_y = extends[1]
points = 50
draw_buff.draw_text(0, 0, "mm")
for x in range(points - (min_x % points), width - 30, points):
if x < 30:
continue
draw_buff.draw_text(x, 0, str(int((x + min_x) / 10)), rotate=True)
draw_buff.draw_line(x, 0, x, 30)
for y in range(points - (min_y % points), height - 30, points):
if y < 30:
continue
draw_buff.draw_text(0, y, str(int((y + min_y) / 10)))
draw_buff.draw_line(0, y, 30, y)
f.write(
write_png(bytes(bytearray(draw_buff.buf)), draw_buff.width, draw_buff.height)
)
| 33.244275 | 86 | 0.339839 | 2,282 | 13,065 | 1.902279 | 0.063979 | 0.203179 | 0.240498 | 0.250633 | 0.372034 | 0.344851 | 0.301083 | 0.25478 | 0.191661 | 0.138908 | 0 | 0.227396 | 0.464141 | 13,065 | 392 | 87 | 33.329082 | 0.392658 | 0.010869 | 0 | 0.301075 | 0 | 0 | 0.006468 | 0 | 0 | 0 | 0.001118 | 0 | 0 | 1 | 0.024194 | false | 0.005376 | 0.010753 | 0 | 0.043011 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
39b79192bf45e45b0ef9ffbfe269ec33e8d8d6c1 | 1,600 | py | Python | lib/ops/boxes.py | shunya-toyokawa/qanet_human_parts_segmentatiom | 5527b247acd65534b455c26e3692a14b31669602 | [
"MIT"
] | 72 | 2021-03-11T02:18:02.000Z | 2022-03-10T07:08:21.000Z | lib/ops/boxes.py | shunya-toyokawa/qanet_human_parts_segmentatiom | 5527b247acd65534b455c26e3692a14b31669602 | [
"MIT"
] | 7 | 2021-03-29T03:41:37.000Z | 2021-12-14T02:43:19.000Z | lib/ops/boxes.py | shunya-toyokawa/qanet_human_parts_segmentatiom | 5527b247acd65534b455c26e3692a14b31669602 | [
"MIT"
] | 10 | 2021-03-27T10:34:10.000Z | 2022-03-07T07:17:10.000Z | from lib.ops import _C
BOX_VOTING_METHODS = {'ID': 0, 'TEMP_AVG': 1, 'AVG': 2, 'IOU_AVG': 3, 'GENERALIZED_AVG': 4, 'QUASI_SUM': 5}
def box_voting(top_boxes, top_scores, all_boxes, all_scores, overlap_thresh, method='ID', beta=1.0):
"""Apply bounding-box voting to refine top dets by voting with all dets.
See: https://arxiv.org/abs/1505.01749. Optional score averaging (not in the
referenced paper) can be applied by setting `scoring_method` appropriately.
"""
assert method in BOX_VOTING_METHODS, 'Unknown box_voting method: {}'.format(method)
return _C.box_voting(
top_boxes,
top_scores,
all_boxes,
all_scores,
BOX_VOTING_METHODS[method],
beta,
overlap_thresh
)
def box_ml_voting(top_boxes, top_scores, top_labels, all_boxes, all_scores, all_labels, overlap_thresh, method='ID', beta=1.0):
"""Apply bounding-box voting to refine top dets by voting with all dets.
See: https://arxiv.org/abs/1505.01749. Optional score averaging (not in the
referenced paper) can be applied by setting `scoring_method` appropriately.
"""
assert method in BOX_VOTING_METHODS, 'Unknown box_voting method: {}'.format(method)
return _C.box_ml_voting(
top_boxes,
top_scores,
top_labels,
all_boxes,
all_scores,
all_labels,
BOX_VOTING_METHODS[method],
beta,
overlap_thresh
)
def box_iou(boxes1, boxes2):
return _C.box_iou(boxes1, boxes2)
def box_iou_rotated(boxes1, boxes2):
return _C.box_iou_rotated(boxes1, boxes2)
| 30.769231 | 127 | 0.68 | 228 | 1,600 | 4.513158 | 0.29386 | 0.09621 | 0.077745 | 0.066084 | 0.902818 | 0.87172 | 0.823129 | 0.823129 | 0.823129 | 0.738581 | 0 | 0.028869 | 0.220625 | 1,600 | 51 | 128 | 31.372549 | 0.796311 | 0.278125 | 0 | 0.533333 | 0 | 0 | 0.094812 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.133333 | false | 0 | 0.033333 | 0.066667 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
f2d33454e1321920bdc96a93befbf2080e778e80 | 607 | py | Python | simuvex/simuvex/plugins/__init__.py | Ruide/angr-dev | 964dc80c758e25c698c2cbcc454ef5954c5fa0a0 | [
"BSD-2-Clause"
] | 86 | 2015-08-06T23:25:07.000Z | 2022-02-17T14:58:22.000Z | simuvex/simuvex/plugins/__init__.py | Ruide/angr-dev | 964dc80c758e25c698c2cbcc454ef5954c5fa0a0 | [
"BSD-2-Clause"
] | 132 | 2015-09-10T19:06:59.000Z | 2018-10-04T20:36:45.000Z | simuvex/simuvex/plugins/__init__.py | Ruide/angr-dev | 964dc80c758e25c698c2cbcc454ef5954c5fa0a0 | [
"BSD-2-Clause"
] | 80 | 2015-08-07T10:30:20.000Z | 2020-03-21T14:45:28.000Z | from angr.state_plugins.plugin import *
from angr.state_plugins.libc import *
from angr.state_plugins.posix import *
from angr.state_plugins.inspect import *
from angr.state_plugins.solver import *
from angr.state_plugins.symbolic_memory import SimSymbolicMemory
from angr.state_plugins.abstract_memory import *
from angr.state_plugins.fast_memory import *
from angr.state_plugins.log import *
from angr.state_plugins.scratch import *
from angr.state_plugins.cgc import *
from angr.state_plugins.gdb import *
from angr.state_plugins.uc_manager import *
from angr.state_plugins.unicorn_engine import Unicorn
| 40.466667 | 64 | 0.841845 | 91 | 607 | 5.406593 | 0.252747 | 0.227642 | 0.369919 | 0.569106 | 0.658537 | 0.130081 | 0 | 0 | 0 | 0 | 0 | 0 | 0.092257 | 607 | 14 | 65 | 43.357143 | 0.892922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
84437ec0dec5320f305090dbbc7d945a25f3e05b | 2,814 | py | Python | test/mlprogram/actions/test_action.py | HiroakiMikami/mlprogram | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 9 | 2020-05-24T11:25:01.000Z | 2022-03-28T15:32:10.000Z | test/mlprogram/actions/test_action.py | HiroakiMikami/mlprogram | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 87 | 2020-05-09T08:56:55.000Z | 2022-03-31T14:46:45.000Z | test/mlprogram/actions/test_action.py | HiroakiMikami/NL2Prog | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 3 | 2021-02-22T20:38:29.000Z | 2021-11-11T18:48:44.000Z | from mlprogram.actions import (
ApplyRule,
CloseVariadicFieldRule,
ExpandTreeRule,
GenerateToken,
NodeConstraint,
NodeType,
)
class TestNodeType(object):
def test_str(self):
assert "type" == str(NodeType("type", NodeConstraint.Node, False))
assert "type*" == str(NodeType("type", NodeConstraint.Node, True))
assert \
"type(token)" == str(NodeType("type", NodeConstraint.Token, False))
def test_eq(self):
assert NodeType("foo", NodeConstraint.Node, False) == \
NodeType("foo", NodeConstraint.Node, False)
assert NodeType("foo", NodeConstraint.Node, False) != \
NodeType("foo", NodeConstraint.Node, True)
assert 0 != NodeType("foo", NodeConstraint.Node, False)
class TestRule(object):
def test_str(self):
t0 = NodeType("t0", NodeConstraint.Node, False)
t1 = NodeType("t1", NodeConstraint.Node, False)
t2 = NodeType("t2", NodeConstraint.Node, True)
assert "t0 -> [elem0: t1, elem1: t2*]" == \
str(ExpandTreeRule(t0, [("elem0", t1),
("elem1", t2)]))
assert "<close variadic field>" == \
str(CloseVariadicFieldRule())
def test_eq(self):
assert ExpandTreeRule(NodeType("foo", NodeConstraint.Node, False), [
("f0", NodeType("bar", NodeConstraint.Node, False))]) == \
ExpandTreeRule(
NodeType("foo", NodeConstraint.Node, False),
[("f0", NodeType("bar", NodeConstraint.Node, False))])
assert GenerateToken("", "foo") == GenerateToken("", "foo")
assert ExpandTreeRule(NodeType("foo", NodeConstraint.Node, False), [
("f0", NodeType("bar", NodeConstraint.Node, False))]) != \
ExpandTreeRule(NodeType("foo", NodeConstraint.Node, False), [])
assert GenerateToken("", "foo") != GenerateToken("", "bar")
assert ExpandTreeRule(
NodeType("foo", NodeConstraint.Node, False),
[
("f0", NodeType("bar", NodeConstraint.Node, False))
]) != GenerateToken("", "foo")
assert 0 != ExpandTreeRule(
NodeType("foo", NodeConstraint.Node, False),
[("f0", NodeType("bar", NodeConstraint.Node, False))])
class TestAction(object):
def test_str(self):
t0 = NodeType("t0", NodeConstraint.Node, False)
t1 = NodeType("t1", NodeConstraint.Node, False)
t2 = NodeType("t2", NodeConstraint.Node, True)
assert "Apply (t0 -> [elem0: t1, elem1: t2*])" == \
str(ApplyRule(
ExpandTreeRule(t0,
[("elem0", t1),
("elem1", t2)])))
assert "Generate bar:kind" == str(GenerateToken("kind", "bar"))
| 40.2 | 79 | 0.564677 | 254 | 2,814 | 6.23622 | 0.161417 | 0.272727 | 0.290404 | 0.201389 | 0.779672 | 0.729167 | 0.70202 | 0.558081 | 0.558081 | 0.558081 | 0 | 0.019231 | 0.279318 | 2,814 | 69 | 80 | 40.782609 | 0.761834 | 0 | 0 | 0.3 | 1 | 0 | 0.088486 | 0 | 0 | 0 | 0 | 0 | 0.266667 | 1 | 0.083333 | false | 0 | 0.016667 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
082938b3bd2f39eb09e3589c9d9cd8bc709f96b5 | 66 | py | Python | napari_covid_if_annotations/launcher/__init__.py | tlambert-forks/covid-if-annotations | 855836589ed2a5d0153b2ee723db22242dcb7939 | [
"MIT"
] | 2 | 2020-10-12T05:40:29.000Z | 2020-10-13T06:37:39.000Z | napari_covid_if_annotations/launcher/__init__.py | tlambert-forks/covid-if-annotations | 855836589ed2a5d0153b2ee723db22242dcb7939 | [
"MIT"
] | 30 | 2020-05-22T21:40:05.000Z | 2021-04-12T08:35:48.000Z | napari_covid_if_annotations/launcher/__init__.py | tlambert-forks/covid-if-annotations | 855836589ed2a5d0153b2ee723db22242dcb7939 | [
"MIT"
] | 4 | 2020-05-25T10:11:49.000Z | 2020-11-10T09:29:41.000Z | from .covid_if_annotations import launch_covid_if_annotation_tool
| 33 | 65 | 0.924242 | 10 | 66 | 5.5 | 0.8 | 0.254545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060606 | 66 | 1 | 66 | 66 | 0.887097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0845f5bdbcf78bccdddafb6009cec14641a97369 | 2,324 | py | Python | histcalc/histcalc.py | zedoul/HistoricalCalculus | 0c953b46545c6acba8c1662abf2adbf12da0b488 | [
"MIT"
] | 1 | 2018-01-03T20:29:47.000Z | 2018-01-03T20:29:47.000Z | histcalc/histcalc.py | zedoul/HistoricalCalculus | 0c953b46545c6acba8c1662abf2adbf12da0b488 | [
"MIT"
] | null | null | null | histcalc/histcalc.py | zedoul/HistoricalCalculus | 0c953b46545c6acba8c1662abf2adbf12da0b488 | [
"MIT"
] | null | null | null | from data import data
from data import datasets
def get_rate(amount, values, index):
if 0 == values[index]:
return None
rate = values[-1] / values[index]
return amount * rate
def US_CPI_measure(amount, fromyear, toyear=2013):
dataset = datasets.datasets["US_CPI"]
assert (fromyear >= dataset["from"])
assert (toyear <= dataset["to"])
df = data.load_dataframe(dataset)
_, values = data.pick_headers(df,dataset["header"])
index = fromyear - dataset["from"]
return get_rate(amount, values, index)
def UK_RPI_measure(amount, fromyear, toyear=2013):
dataset = datasets.datasets["UK_RPI"]
assert (fromyear >= dataset["from"])
assert (toyear <= dataset["to"])
df = data.load_dataframe(dataset)
_, values = data.pick_headers(df,dataset["header"])
index = fromyear - dataset["from"]
return get_rate(amount, values, index)
def UK_EarningIndex_measure(amount, fromyear, toyear=2013):
dataset = datasets.datasets["UK_AANE"]
assert (fromyear >= dataset["from"])
assert (toyear <= dataset["to"])
df = data.load_dataframe(dataset)
_, values = data.pick_headers(df,dataset["header"])
index = fromyear - dataset["from"]
return get_rate(amount, values, index)
def UK_GDPperCapita_measure(amount, fromyear, toyear=2013):
dataset = datasets.datasets["UK_GDPCapita"]
assert (fromyear >= dataset["from"])
assert (toyear <= dataset["to"])
df = data.load_dataframe(dataset)
_, values = data.pick_headers(df,dataset["header"])
index = fromyear - dataset["from"]
return get_rate(amount, values, index)
def JP_CPI_measure(amount, fromyear, toyear=2013):
dataset = datasets.datasets["JP_CPI"]
assert (fromyear >= dataset["from"])
assert (toyear <= dataset["to"])
df = data.load_dataframe(dataset)
_, values = data.pick_headers(df,dataset["header"])
index = fromyear - dataset["from"]
return get_rate(amount, values, index)
def JP_GDPperCapita_measure(amount, fromyear, toyear=2013):
dataset = datasets.datasets["JP_GDPCapita"]
assert (fromyear >= dataset["from"])
assert (toyear <= dataset["to"])
df = data.load_dataframe(dataset)
_, values = data.pick_headers(df,dataset["header"])
index = fromyear - dataset["from"]
return get_rate(amount, values, index)
| 36.888889 | 59 | 0.682444 | 286 | 2,324 | 5.395105 | 0.129371 | 0.116656 | 0.147764 | 0.086196 | 0.913156 | 0.897602 | 0.897602 | 0.897602 | 0.897602 | 0.661698 | 0 | 0.01357 | 0.175559 | 2,324 | 62 | 60 | 37.483871 | 0.791754 | 0 | 0 | 0.654545 | 0 | 0 | 0.062392 | 0 | 0 | 0 | 0 | 0 | 0.218182 | 1 | 0.127273 | false | 0 | 0.036364 | 0 | 0.309091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4b33a6e8adb3a0e40a73377e7143fcec2e37962a | 5,518 | py | Python | lambda/tests/integration/test_ccavenueResponseHandler.py | epicfaace/GCMW | b06b41c1629866e334c8b2cd94d008bbc2028cdf | [
"Apache-2.0"
] | 2 | 2019-10-19T04:07:52.000Z | 2020-07-29T17:38:54.000Z | lambda/tests/integration/test_ccavenueResponseHandler.py | ksankara/CFF | 70f10bb7abc0f381fa309379a85d2782ed6c36b8 | [
"Apache-2.0"
] | 114 | 2019-06-20T15:27:13.000Z | 2020-08-30T21:15:56.000Z | lambda/tests/integration/test_ccavenueResponseHandler.py | epicfaace/GCMW | b06b41c1629866e334c8b2cd94d008bbc2028cdf | [
"Apache-2.0"
] | 7 | 2019-07-20T06:11:19.000Z | 2020-06-28T15:23:14.000Z | """
python -m unittest tests.integration.test_ccavenueResponseHandler
"""
import unittest
from chalice.config import Config
from chalice.local import LocalGateway
import json
from .constants import FORM_ID, ONE_SCHEMA, ONE_UISCHEMA, ONE_FORMOPTIONS
from app import app
from tests.integration.baseTestCase import BaseTestCase
from chalicelib.models import Response, PaymentStatusDetailItem
import datetime
from bson.objectid import ObjectId
SAMPLE_BODY = "encResp=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&orderNo=5cdb487f5a098b41cbd4ab70&crossSellUrl=https%3A%2F%2Fwww.cricbuzz.com"
class TestCcavenueResponseHandler(BaseTestCase):
def setUp(self):
super(TestCcavenueResponseHandler, self).setUp()
self.formId = self.create_form()
self.edit_form(
self.formId,
{
"schema": ONE_SCHEMA,
"uiSchema": ONE_UISCHEMA,
"formOptions": dict(ONE_FORMOPTIONS, paymentMethods={"ccavenue": {"merchant_id": "mid123" } })
},
)
@unittest.skip(
"Need to refactor this in order to create the particular response already."
)
def test_decrypt_duplicate(self):
body = SAMPLE_BODY
responseId = "5cdb3deb5a098b2f1ed11629"
# todo: set up form to work properly with this. response must already have had the ccavenue response handler done before.
response = self.lg.handle_request(
method="POST",
path=f"/responses/{responseId}/ccavenueResponseHandler",
headers={"Content-Type": "application/x-www-form-urlencoded"},
body=body,
)
self.assertEqual(response["statusCode"], 500, response)
self.assertIn("IPN ERROR: Duplicate IPN transaction ID", response["body"])
# todo: should this be 4xx instead?
def test_decrypt_success(self):
# asd
pass
def make_request(self, responseId, body, fail=False):
response = self.lg.handle_request(
method="POST",
path=f"/responses/{responseId}/ccavenueResponseHandler",
headers={
"authorization": "auth",
"Content-Type": "application/x-www-form-urlencoded",
},
body=body,
)
if fail:
self.assertEqual(response["statusCode"], 500)
print("BODY", response["body"])
else:
self.assertEqual(response["statusCode"], 200, response)
return response["body"]
def test_invalid_merchant_id(self):
responseId = str(ObjectId())
response = Response(
id=ObjectId(responseId),
form=self.formId,
date_modified=datetime.datetime.now(),
date_created=datetime.datetime.now(),
value={"a": "b", "email": "success@simulator.amazonses.com"},
paymentInfo={
"total": 0.5,
"currency": "USD",
"items": [
{"name": "a", "description": "b", "amount": 0.25, "quantity": 1},
{"name": "a2", "description": "b2", "amount": 0.25, "quantity": 1},
],
},
).save()
self.make_request(responseId, SAMPLE_BODY, fail=True)
response = self.view_response(responseId)
detail_payment_one = response["payment_trail"][0]
detail_payment_one.pop("date")
detail_payment_one.pop("date_created")
detail_payment_one.pop("date_modified")
self.assertEqual(detail_payment_one["status"], "ERROR")
self.assertEqual(detail_payment_one["id"], "CCAvenue config not found for merchant id: mid123.")
| 57.479167 | 1,989 | 0.747372 | 370 | 5,518 | 11.02973 | 0.432432 | 0.019113 | 0.023524 | 0.024259 | 0.126685 | 0.068121 | 0.068121 | 0.068121 | 0.068121 | 0.044597 | 0 | 0.265639 | 0.177238 | 5,518 | 95 | 1,990 | 58.084211 | 0.63326 | 0.040594 | 0 | 0.1 | 0 | 0.0125 | 0.5 | 0.41408 | 0 | 1 | 0 | 0.010526 | 0.075 | 1 | 0.0625 | false | 0.0125 | 0.125 | 0 | 0.2125 | 0.0125 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4b68d7cda72ece7b9e7767cd0a0b0788a9961078 | 6,996 | py | Python | src/abaqus/Interaction/IncidentWave.py | Haiiliin/PyAbaqus | f20db6ebea19b73059fe875a53be370253381078 | [
"MIT"
] | 7 | 2022-01-21T09:15:45.000Z | 2022-02-15T09:31:58.000Z | src/abaqus/Interaction/IncidentWave.py | Haiiliin/PyAbaqus | f20db6ebea19b73059fe875a53be370253381078 | [
"MIT"
] | null | null | null | src/abaqus/Interaction/IncidentWave.py | Haiiliin/PyAbaqus | f20db6ebea19b73059fe875a53be370253381078 | [
"MIT"
] | null | null | null | from abaqusConstants import *
from .Interaction import Interaction
from ..Region.Region import Region
class IncidentWave(Interaction):
"""The IncidentWave object defines incident wave interactions for acoustic and coupled
acoustic-structural analyses.
The IncidentWave object is derived from the Interaction object.
Notes
-----
This object can be accessed by:
.. code-block:: python
import interaction
mdb.models[name].interactions[name]
The corresponding analysis keywords are:
- INCIDENT WAVE INTERACTION
"""
def __init__(self, name: str, createStepName: str, sourcePoint: Region, standoffPoint: Region,
surface: Region, interactionProperty: str, definition: SymbolicConstant = PRESSURE,
amplitude: str = '', imaginaryAmplitude: str = '', surfaceNormal: tuple = (),
initialDepth: float = None, referenceMagnitude: float = None,
detonationTime: float = None, magnitudeFactor: float = 1):
"""This method creates an IncidentWave object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].IncidentWave
Parameters
----------
name
A String specifying the repository key.
createStepName
A String specifying the name of the step in which the IncidentWave object is created.
sourcePoint
A Region object specifying the incident wave source point.
standoffPoint
A Region object specifying the incident wave standoff point.This argument is not valid
when *definition*=CONWEP.
surface
A Region object specifying the surface defining the incident wave interaction. In
problems involving fluid/surface boundaries, both the fluid surface and the solid
surface comprising the boundary must have an incident wave interaction specified.
interactionProperty
A String specifying the IncidentWaveProperty object associated with this interaction.
definition
A SymbolicConstant specifying the type of incident wave to be defined. The value must be
PRESSURE for linear perturbation steps. An Explicit step is required when the value is
set to CONWEP. Possible values are PRESSURE, ACCELERATION, UNDEX, and CONWEP. The
default value is PRESSURE.
amplitude
A String specifying the name of the Amplitude object that defines the fluid pressure
time history at the standoff point, if *definition*=PRESSURE. If
*definition*=ACCELERATION, then this string specifies the name of the Amplitude object
that defines the fluid particle acceleration time history at the standoff point. This
member can be specified only if *definition*=PRESSURE or ACCELERATION. The default value
is an empty string.
imaginaryAmplitude
A String specifying the name of the Amplitude object that defines the imaginary
component of the fluid pressure time history at the standoff point. This member is
applicable only for linear perturbation steps and if *definition*=PRESSURE. The default
value is an empty string.
surfaceNormal
A sequence of three Floats specifying the X, Y, and Z components of the direction cosine
of the fluid surface normal.This argument is valid only when *definition*=UNDEX.
initialDepth
None or a Float specifying the initial depth of the UNDEX bubble. The default value is
None.This argument is valid only when *definition*=UNDEX.
referenceMagnitude
A Float specifying the reference magnitude.This argument is not valid when
*definition*=CONWEP.
detonationTime
A Float specifying the time of detonation, given in total time.This argument is valid
only when *definition*=CONWEP.
magnitudeFactor
A Float specifying the magnitude scale factor. The default value is 1.0.This argument is
valid only when *definition*=CONWEP.
Returns
-------
An IncidentWave object.
"""
super().__init__()
pass
def setValues(self, definition: SymbolicConstant = PRESSURE, amplitude: str = '',
imaginaryAmplitude: str = '', surfaceNormal: tuple = (), initialDepth: float = None,
referenceMagnitude: float = None, detonationTime: float = None,
magnitudeFactor: float = 1):
"""This method modifies the IncidentWave object.
Parameters
----------
definition
A SymbolicConstant specifying the type of incident wave to be defined. The value must be
PRESSURE for linear perturbation steps. An Explicit step is required when the value is
set to CONWEP. Possible values are PRESSURE, ACCELERATION, UNDEX, and CONWEP. The
default value is PRESSURE.
amplitude
A String specifying the name of the Amplitude object that defines the fluid pressure
time history at the standoff point, if *definition*=PRESSURE. If
*definition*=ACCELERATION, then this string specifies the name of the Amplitude object
that defines the fluid particle acceleration time history at the standoff point. This
member can be specified only if *definition*=PRESSURE or ACCELERATION. The default value
is an empty string.
imaginaryAmplitude
A String specifying the name of the Amplitude object that defines the imaginary
component of the fluid pressure time history at the standoff point. This member is
applicable only for linear perturbation steps and if *definition*=PRESSURE. The default
value is an empty string.
surfaceNormal
A sequence of three Floats specifying the X, Y, and Z components of the direction cosine
of the fluid surface normal.This argument is valid only when *definition*=UNDEX.
initialDepth
None or a Float specifying the initial depth of the UNDEX bubble. The default value is
None.This argument is valid only when *definition*=UNDEX.
referenceMagnitude
A Float specifying the reference magnitude.This argument is not valid when
*definition*=CONWEP.
detonationTime
A Float specifying the time of detonation, given in total time.This argument is valid
only when *definition*=CONWEP.
magnitudeFactor
A Float specifying the magnitude scale factor. The default value is 1.0.This argument is
valid only when *definition*=CONWEP.
"""
pass
| 49.971429 | 102 | 0.658233 | 799 | 6,996 | 5.753442 | 0.192741 | 0.062214 | 0.0335 | 0.036981 | 0.762454 | 0.756798 | 0.756798 | 0.720905 | 0.711769 | 0.711769 | 0 | 0.001221 | 0.297599 | 6,996 | 139 | 103 | 50.330935 | 0.934269 | 0.741567 | 0 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0.125 | 0.1875 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
4b70a42d73f68b379b3d2eb473c381e007712fd5 | 40 | py | Python | src/source_wkpd/__init__.py | Aluriak/24hducode2016 | 629a3225c5a426d3deb472d67f0e0091904d1547 | [
"Unlicense"
] | null | null | null | src/source_wkpd/__init__.py | Aluriak/24hducode2016 | 629a3225c5a426d3deb472d67f0e0091904d1547 | [
"Unlicense"
] | null | null | null | src/source_wkpd/__init__.py | Aluriak/24hducode2016 | 629a3225c5a426d3deb472d67f0e0091904d1547 | [
"Unlicense"
] | null | null | null | from .wiki_source_obj import WikiSource
| 20 | 39 | 0.875 | 6 | 40 | 5.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 40 | 1 | 40 | 40 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
4b8759708ec607a70543b82c89d9a344323e85a8 | 20 | py | Python | RavePy/__init__.py | Slenderman00/RavePy | 535566d6adedca3e82cb0546389e6cb2df245d72 | [
"MIT"
] | null | null | null | RavePy/__init__.py | Slenderman00/RavePy | 535566d6adedca3e82cb0546389e6cb2df245d72 | [
"MIT"
] | null | null | null | RavePy/__init__.py | Slenderman00/RavePy | 535566d6adedca3e82cb0546389e6cb2df245d72 | [
"MIT"
] | null | null | null | from . import RavePy | 20 | 20 | 0.8 | 3 | 20 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 20 | 1 | 20 | 20 | 0.941176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
4bc41c1dc81af033cb721ab03f19fcb4b5131886 | 1,746 | py | Python | buildDocker.py | AyishaR/deepC | 1dc9707ef5ca9000fc13c3da7f1129685a83b494 | [
"Apache-2.0"
] | 223 | 2020-04-15T20:34:33.000Z | 2022-03-28T05:41:49.000Z | buildDocker.py | AyishaR/deepC | 1dc9707ef5ca9000fc13c3da7f1129685a83b494 | [
"Apache-2.0"
] | 42 | 2019-07-29T15:57:12.000Z | 2020-04-08T15:12:48.000Z | buildDocker.py | AyishaR/deepC | 1dc9707ef5ca9000fc13c3da7f1129685a83b494 | [
"Apache-2.0"
] | 58 | 2019-07-22T11:46:19.000Z | 2020-04-09T22:56:41.000Z | import os, argparse
def main():
parser = argparse.ArgumentParser(description="run docker in any os")
parser.add_argument("-dev", "--developer", action="store_true", help="ssh inside docker container without running make")
args = parser.parse_args()
if args.developer:
# Mac and Linux
if os.name == "posix":
try:
os.system('systemctl start docker')
except:
os.system('systemctl unmask docker.service && systemctl unmask docker.socket && systemctl start docker.service')
os.system('sudo docker build -t dnnc .')
os.system('sudo docker run -it dnnc /bin/bash')
# Windows
elif os.name == "nt":
os.system('docker build -t dnnc .')
# don't use single quotes inside command, always use duble quotes, similar problem listed below
# https://stackoverflow.com/questions/24673698/unexpected-eof-while-looking-for-matching-while-using-sed
os.system('docker run -it dnnc /bin/bash -c "cd /dnnCompiler && make clean && make all"')
else:
# Mac and Linux
if os.name == "posix":
try:
os.system('systemctl start docker')
except:
os.system('systemctl unmask docker.service && systemctl unmask docker.socket && systemctl start docker.service')
os.system('sudo docker build -t dnnc .')
os.system('sudo docker run -it dnnc /bin/bash -c "cd /dnnCompiler && make clean && make all"')
# Windows
elif os.name == "nt":
os.system('docker build -t dnnc .')
# don't use single quotes inside command, always use duble quotes, similar problem listed below
# https://stackoverflow.com/questions/24673698/unexpected-eof-while-looking-for-matching-while-using-sed
os.system('docker run -it dnnc /bin/bash -c "cd /dnnCompiler && make clean && make all"')
if __name__ == "__main__":
main() | 38.8 | 121 | 0.699313 | 247 | 1,746 | 4.898785 | 0.331984 | 0.079339 | 0.056198 | 0.059504 | 0.818182 | 0.818182 | 0.818182 | 0.818182 | 0.818182 | 0.818182 | 0 | 0.010997 | 0.166667 | 1,746 | 45 | 122 | 38.8 | 0.820619 | 0.250286 | 0 | 0.62069 | 0 | 0.103448 | 0.554958 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.034483 | 0 | 0.068966 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
298c7874a64e690e9147f723cad18c39ef20fcc6 | 360 | py | Python | bigraph/preprocessing/__init__.py | yishingene/bigraph | 6cc7e840e8aa10a3c403b715fd555007d54eaf8a | [
"BSD-3-Clause"
] | null | null | null | bigraph/preprocessing/__init__.py | yishingene/bigraph | 6cc7e840e8aa10a3c403b715fd555007d54eaf8a | [
"BSD-3-Clause"
] | null | null | null | bigraph/preprocessing/__init__.py | yishingene/bigraph | 6cc7e840e8aa10a3c403b715fd555007d54eaf8a | [
"BSD-3-Clause"
] | null | null | null | import bigraph.preprocessing.import_files
from bigraph.preprocessing.import_files import *
import bigraph.preprocessing.get_adjacents
from bigraph.preprocessing.get_adjacents import *
import bigraph.preprocessing.make_graph
from bigraph.preprocessing.make_graph import *
import bigraph.preprocessing.pd_to_list
from bigraph.preprocessing.pd_to_list import * | 32.727273 | 49 | 0.872222 | 46 | 360 | 6.608696 | 0.26087 | 0.526316 | 0.342105 | 0.315789 | 0.184211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072222 | 360 | 11 | 50 | 32.727273 | 0.91018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
298fbdcbe9c577b9884bce485328831b16be85d6 | 39 | py | Python | match/__init__.py | ceejay-el/match | 54d048b9902c339359dcce3f5cd2ecf34e38da7e | [
"MIT"
] | null | null | null | match/__init__.py | ceejay-el/match | 54d048b9902c339359dcce3f5cd2ecf34e38da7e | [
"MIT"
] | null | null | null | match/__init__.py | ceejay-el/match | 54d048b9902c339359dcce3f5cd2ecf34e38da7e | [
"MIT"
] | 1 | 2022-02-25T03:06:15.000Z | 2022-02-25T03:06:15.000Z | from .matrix import *
from . import nn
| 13 | 21 | 0.717949 | 6 | 39 | 4.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.205128 | 39 | 2 | 22 | 19.5 | 0.903226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
29c91d12437521435543067175e68026cb51cf30 | 25,285 | py | Python | dagmc_slicer/Dag_Slicer.py | pshriwise/dag_slicer | d0b2d47e939beeb17e3df53a54cc44c9d1c50c3c | [
"BSD-2-Clause"
] | null | null | null | dagmc_slicer/Dag_Slicer.py | pshriwise/dag_slicer | d0b2d47e939beeb17e3df53a54cc44c9d1c50c3c | [
"BSD-2-Clause"
] | 9 | 2017-05-14T17:08:12.000Z | 2020-02-18T03:34:39.000Z | dagmc_slicer/Dag_Slicer.py | AI-Pranto/dag_slicer | 754ce0975d1966ae7f63b5a96d7e26e39c2d39a8 | [
"BSD-2-Clause"
] | 2 | 2020-02-16T17:25:22.000Z | 2020-11-15T02:52:02.000Z | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.8
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (2, 6, 0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_Dag_Slicer', [dirname(__file__)])
except ImportError:
import _Dag_Slicer
return _Dag_Slicer
if fp is not None:
try:
_mod = imp.load_module('_Dag_Slicer', fp, pathname, description)
finally:
fp.close()
return _mod
_Dag_Slicer = swig_import_helper()
del swig_import_helper
else:
import _Dag_Slicer
del version_info
try:
_swig_property = property
except NameError:
pass # Python < 2.2 doesn't have 'property'.
def _swig_setattr_nondynamic(self, class_type, name, value, static=1):
if (name == "thisown"):
return self.this.own(value)
if (name == "this"):
if type(value).__name__ == 'SwigPyObject':
self.__dict__[name] = value
return
method = class_type.__swig_setmethods__.get(name, None)
if method:
return method(self, value)
if (not static):
if _newclass:
object.__setattr__(self, name, value)
else:
self.__dict__[name] = value
else:
raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self, class_type, name, value):
return _swig_setattr_nondynamic(self, class_type, name, value, 0)
def _swig_getattr_nondynamic(self, class_type, name, static=1):
if (name == "thisown"):
return self.this.own()
method = class_type.__swig_getmethods__.get(name, None)
if method:
return method(self)
if (not static):
return object.__getattr__(self, name)
else:
raise AttributeError(name)
def _swig_getattr(self, class_type, name):
return _swig_getattr_nondynamic(self, class_type, name, 0)
def _swig_repr(self):
try:
strthis = "proxy of " + self.this.__repr__()
except Exception:
strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try:
_object = object
_newclass = 1
except AttributeError:
class _object:
pass
_newclass = 0
class SwigPyIterator(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, SwigPyIterator, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, SwigPyIterator, name)
def __init__(self, *args, **kwargs):
raise AttributeError("No constructor defined - class is abstract")
__repr__ = _swig_repr
__swig_destroy__ = _Dag_Slicer.delete_SwigPyIterator
__del__ = lambda self: None
def value(self):
return _Dag_Slicer.SwigPyIterator_value(self)
def incr(self, n=1):
return _Dag_Slicer.SwigPyIterator_incr(self, n)
def decr(self, n=1):
return _Dag_Slicer.SwigPyIterator_decr(self, n)
def distance(self, x):
return _Dag_Slicer.SwigPyIterator_distance(self, x)
def equal(self, x):
return _Dag_Slicer.SwigPyIterator_equal(self, x)
def copy(self):
return _Dag_Slicer.SwigPyIterator_copy(self)
def next(self):
return _Dag_Slicer.SwigPyIterator_next(self)
def __next__(self):
return _Dag_Slicer.SwigPyIterator___next__(self)
def previous(self):
return _Dag_Slicer.SwigPyIterator_previous(self)
def advance(self, n):
return _Dag_Slicer.SwigPyIterator_advance(self, n)
def __eq__(self, x):
return _Dag_Slicer.SwigPyIterator___eq__(self, x)
def __ne__(self, x):
return _Dag_Slicer.SwigPyIterator___ne__(self, x)
def __iadd__(self, n):
return _Dag_Slicer.SwigPyIterator___iadd__(self, n)
def __isub__(self, n):
return _Dag_Slicer.SwigPyIterator___isub__(self, n)
def __add__(self, n):
return _Dag_Slicer.SwigPyIterator___add__(self, n)
def __sub__(self, *args):
return _Dag_Slicer.SwigPyIterator___sub__(self, *args)
def __iter__(self):
return self
SwigPyIterator_swigregister = _Dag_Slicer.SwigPyIterator_swigregister
SwigPyIterator_swigregister(SwigPyIterator)
class VecDouble(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, VecDouble, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, VecDouble, name)
__repr__ = _swig_repr
def iterator(self):
return _Dag_Slicer.VecDouble_iterator(self)
def __iter__(self):
return self.iterator()
def __nonzero__(self):
return _Dag_Slicer.VecDouble___nonzero__(self)
def __bool__(self):
return _Dag_Slicer.VecDouble___bool__(self)
def __len__(self):
return _Dag_Slicer.VecDouble___len__(self)
def __getslice__(self, i, j):
return _Dag_Slicer.VecDouble___getslice__(self, i, j)
def __setslice__(self, *args):
return _Dag_Slicer.VecDouble___setslice__(self, *args)
def __delslice__(self, i, j):
return _Dag_Slicer.VecDouble___delslice__(self, i, j)
def __delitem__(self, *args):
return _Dag_Slicer.VecDouble___delitem__(self, *args)
def __getitem__(self, *args):
return _Dag_Slicer.VecDouble___getitem__(self, *args)
def __setitem__(self, *args):
return _Dag_Slicer.VecDouble___setitem__(self, *args)
def pop(self):
return _Dag_Slicer.VecDouble_pop(self)
def append(self, x):
return _Dag_Slicer.VecDouble_append(self, x)
def empty(self):
return _Dag_Slicer.VecDouble_empty(self)
def size(self):
return _Dag_Slicer.VecDouble_size(self)
def swap(self, v):
return _Dag_Slicer.VecDouble_swap(self, v)
def begin(self):
return _Dag_Slicer.VecDouble_begin(self)
def end(self):
return _Dag_Slicer.VecDouble_end(self)
def rbegin(self):
return _Dag_Slicer.VecDouble_rbegin(self)
def rend(self):
return _Dag_Slicer.VecDouble_rend(self)
def clear(self):
return _Dag_Slicer.VecDouble_clear(self)
def get_allocator(self):
return _Dag_Slicer.VecDouble_get_allocator(self)
def pop_back(self):
return _Dag_Slicer.VecDouble_pop_back(self)
def erase(self, *args):
return _Dag_Slicer.VecDouble_erase(self, *args)
def __init__(self, *args):
this = _Dag_Slicer.new_VecDouble(*args)
try:
self.this.append(this)
except Exception:
self.this = this
def push_back(self, x):
return _Dag_Slicer.VecDouble_push_back(self, x)
def front(self):
return _Dag_Slicer.VecDouble_front(self)
def back(self):
return _Dag_Slicer.VecDouble_back(self)
def assign(self, n, x):
return _Dag_Slicer.VecDouble_assign(self, n, x)
def resize(self, *args):
return _Dag_Slicer.VecDouble_resize(self, *args)
def insert(self, *args):
return _Dag_Slicer.VecDouble_insert(self, *args)
def reserve(self, n):
return _Dag_Slicer.VecDouble_reserve(self, n)
def capacity(self):
return _Dag_Slicer.VecDouble_capacity(self)
__swig_destroy__ = _Dag_Slicer.delete_VecDouble
__del__ = lambda self: None
VecDouble_swigregister = _Dag_Slicer.VecDouble_swigregister
VecDouble_swigregister(VecDouble)
class VecVecdouble(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, VecVecdouble, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, VecVecdouble, name)
__repr__ = _swig_repr
def iterator(self):
return _Dag_Slicer.VecVecdouble_iterator(self)
def __iter__(self):
return self.iterator()
def __nonzero__(self):
return _Dag_Slicer.VecVecdouble___nonzero__(self)
def __bool__(self):
return _Dag_Slicer.VecVecdouble___bool__(self)
def __len__(self):
return _Dag_Slicer.VecVecdouble___len__(self)
def __getslice__(self, i, j):
return _Dag_Slicer.VecVecdouble___getslice__(self, i, j)
def __setslice__(self, *args):
return _Dag_Slicer.VecVecdouble___setslice__(self, *args)
def __delslice__(self, i, j):
return _Dag_Slicer.VecVecdouble___delslice__(self, i, j)
def __delitem__(self, *args):
return _Dag_Slicer.VecVecdouble___delitem__(self, *args)
def __getitem__(self, *args):
return _Dag_Slicer.VecVecdouble___getitem__(self, *args)
def __setitem__(self, *args):
return _Dag_Slicer.VecVecdouble___setitem__(self, *args)
def pop(self):
return _Dag_Slicer.VecVecdouble_pop(self)
def append(self, x):
return _Dag_Slicer.VecVecdouble_append(self, x)
def empty(self):
return _Dag_Slicer.VecVecdouble_empty(self)
def size(self):
return _Dag_Slicer.VecVecdouble_size(self)
def swap(self, v):
return _Dag_Slicer.VecVecdouble_swap(self, v)
def begin(self):
return _Dag_Slicer.VecVecdouble_begin(self)
def end(self):
return _Dag_Slicer.VecVecdouble_end(self)
def rbegin(self):
return _Dag_Slicer.VecVecdouble_rbegin(self)
def rend(self):
return _Dag_Slicer.VecVecdouble_rend(self)
def clear(self):
return _Dag_Slicer.VecVecdouble_clear(self)
def get_allocator(self):
return _Dag_Slicer.VecVecdouble_get_allocator(self)
def pop_back(self):
return _Dag_Slicer.VecVecdouble_pop_back(self)
def erase(self, *args):
return _Dag_Slicer.VecVecdouble_erase(self, *args)
def __init__(self, *args):
this = _Dag_Slicer.new_VecVecdouble(*args)
try:
self.this.append(this)
except Exception:
self.this = this
def push_back(self, x):
return _Dag_Slicer.VecVecdouble_push_back(self, x)
def front(self):
return _Dag_Slicer.VecVecdouble_front(self)
def back(self):
return _Dag_Slicer.VecVecdouble_back(self)
def assign(self, n, x):
return _Dag_Slicer.VecVecdouble_assign(self, n, x)
def resize(self, *args):
return _Dag_Slicer.VecVecdouble_resize(self, *args)
def insert(self, *args):
return _Dag_Slicer.VecVecdouble_insert(self, *args)
def reserve(self, n):
return _Dag_Slicer.VecVecdouble_reserve(self, n)
def capacity(self):
return _Dag_Slicer.VecVecdouble_capacity(self)
__swig_destroy__ = _Dag_Slicer.delete_VecVecdouble
__del__ = lambda self: None
VecVecdouble_swigregister = _Dag_Slicer.VecVecdouble_swigregister
VecVecdouble_swigregister(VecVecdouble)
class VecInt(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, VecInt, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, VecInt, name)
__repr__ = _swig_repr
def iterator(self):
return _Dag_Slicer.VecInt_iterator(self)
def __iter__(self):
return self.iterator()
def __nonzero__(self):
return _Dag_Slicer.VecInt___nonzero__(self)
def __bool__(self):
return _Dag_Slicer.VecInt___bool__(self)
def __len__(self):
return _Dag_Slicer.VecInt___len__(self)
def __getslice__(self, i, j):
return _Dag_Slicer.VecInt___getslice__(self, i, j)
def __setslice__(self, *args):
return _Dag_Slicer.VecInt___setslice__(self, *args)
def __delslice__(self, i, j):
return _Dag_Slicer.VecInt___delslice__(self, i, j)
def __delitem__(self, *args):
return _Dag_Slicer.VecInt___delitem__(self, *args)
def __getitem__(self, *args):
return _Dag_Slicer.VecInt___getitem__(self, *args)
def __setitem__(self, *args):
return _Dag_Slicer.VecInt___setitem__(self, *args)
def pop(self):
return _Dag_Slicer.VecInt_pop(self)
def append(self, x):
return _Dag_Slicer.VecInt_append(self, x)
def empty(self):
return _Dag_Slicer.VecInt_empty(self)
def size(self):
return _Dag_Slicer.VecInt_size(self)
def swap(self, v):
return _Dag_Slicer.VecInt_swap(self, v)
def begin(self):
return _Dag_Slicer.VecInt_begin(self)
def end(self):
return _Dag_Slicer.VecInt_end(self)
def rbegin(self):
return _Dag_Slicer.VecInt_rbegin(self)
def rend(self):
return _Dag_Slicer.VecInt_rend(self)
def clear(self):
return _Dag_Slicer.VecInt_clear(self)
def get_allocator(self):
return _Dag_Slicer.VecInt_get_allocator(self)
def pop_back(self):
return _Dag_Slicer.VecInt_pop_back(self)
def erase(self, *args):
return _Dag_Slicer.VecInt_erase(self, *args)
def __init__(self, *args):
this = _Dag_Slicer.new_VecInt(*args)
try:
self.this.append(this)
except Exception:
self.this = this
def push_back(self, x):
return _Dag_Slicer.VecInt_push_back(self, x)
def front(self):
return _Dag_Slicer.VecInt_front(self)
def back(self):
return _Dag_Slicer.VecInt_back(self)
def assign(self, n, x):
return _Dag_Slicer.VecInt_assign(self, n, x)
def resize(self, *args):
return _Dag_Slicer.VecInt_resize(self, *args)
def insert(self, *args):
return _Dag_Slicer.VecInt_insert(self, *args)
def reserve(self, n):
return _Dag_Slicer.VecInt_reserve(self, n)
def capacity(self):
return _Dag_Slicer.VecInt_capacity(self)
__swig_destroy__ = _Dag_Slicer.delete_VecInt
__del__ = lambda self: None
VecInt_swigregister = _Dag_Slicer.VecInt_swigregister
VecInt_swigregister(VecInt)
class VecVecint(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, VecVecint, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, VecVecint, name)
__repr__ = _swig_repr
def iterator(self):
return _Dag_Slicer.VecVecint_iterator(self)
def __iter__(self):
return self.iterator()
def __nonzero__(self):
return _Dag_Slicer.VecVecint___nonzero__(self)
def __bool__(self):
return _Dag_Slicer.VecVecint___bool__(self)
def __len__(self):
return _Dag_Slicer.VecVecint___len__(self)
def __getslice__(self, i, j):
return _Dag_Slicer.VecVecint___getslice__(self, i, j)
def __setslice__(self, *args):
return _Dag_Slicer.VecVecint___setslice__(self, *args)
def __delslice__(self, i, j):
return _Dag_Slicer.VecVecint___delslice__(self, i, j)
def __delitem__(self, *args):
return _Dag_Slicer.VecVecint___delitem__(self, *args)
def __getitem__(self, *args):
return _Dag_Slicer.VecVecint___getitem__(self, *args)
def __setitem__(self, *args):
return _Dag_Slicer.VecVecint___setitem__(self, *args)
def pop(self):
return _Dag_Slicer.VecVecint_pop(self)
def append(self, x):
return _Dag_Slicer.VecVecint_append(self, x)
def empty(self):
return _Dag_Slicer.VecVecint_empty(self)
def size(self):
return _Dag_Slicer.VecVecint_size(self)
def swap(self, v):
return _Dag_Slicer.VecVecint_swap(self, v)
def begin(self):
return _Dag_Slicer.VecVecint_begin(self)
def end(self):
return _Dag_Slicer.VecVecint_end(self)
def rbegin(self):
return _Dag_Slicer.VecVecint_rbegin(self)
def rend(self):
return _Dag_Slicer.VecVecint_rend(self)
def clear(self):
return _Dag_Slicer.VecVecint_clear(self)
def get_allocator(self):
return _Dag_Slicer.VecVecint_get_allocator(self)
def pop_back(self):
return _Dag_Slicer.VecVecint_pop_back(self)
def erase(self, *args):
return _Dag_Slicer.VecVecint_erase(self, *args)
def __init__(self, *args):
this = _Dag_Slicer.new_VecVecint(*args)
try:
self.this.append(this)
except Exception:
self.this = this
def push_back(self, x):
return _Dag_Slicer.VecVecint_push_back(self, x)
def front(self):
return _Dag_Slicer.VecVecint_front(self)
def back(self):
return _Dag_Slicer.VecVecint_back(self)
def assign(self, n, x):
return _Dag_Slicer.VecVecint_assign(self, n, x)
def resize(self, *args):
return _Dag_Slicer.VecVecint_resize(self, *args)
def insert(self, *args):
return _Dag_Slicer.VecVecint_insert(self, *args)
def reserve(self, n):
return _Dag_Slicer.VecVecint_reserve(self, n)
def capacity(self):
return _Dag_Slicer.VecVecint_capacity(self)
__swig_destroy__ = _Dag_Slicer.delete_VecVecint
__del__ = lambda self: None
VecVecint_swigregister = _Dag_Slicer.VecVecint_swigregister
VecVecint_swigregister(VecVecint)
class VecStr(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, VecStr, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, VecStr, name)
__repr__ = _swig_repr
def iterator(self):
return _Dag_Slicer.VecStr_iterator(self)
def __iter__(self):
return self.iterator()
def __nonzero__(self):
return _Dag_Slicer.VecStr___nonzero__(self)
def __bool__(self):
return _Dag_Slicer.VecStr___bool__(self)
def __len__(self):
return _Dag_Slicer.VecStr___len__(self)
def __getslice__(self, i, j):
return _Dag_Slicer.VecStr___getslice__(self, i, j)
def __setslice__(self, *args):
return _Dag_Slicer.VecStr___setslice__(self, *args)
def __delslice__(self, i, j):
return _Dag_Slicer.VecStr___delslice__(self, i, j)
def __delitem__(self, *args):
return _Dag_Slicer.VecStr___delitem__(self, *args)
def __getitem__(self, *args):
return _Dag_Slicer.VecStr___getitem__(self, *args)
def __setitem__(self, *args):
return _Dag_Slicer.VecStr___setitem__(self, *args)
def pop(self):
return _Dag_Slicer.VecStr_pop(self)
def append(self, x):
return _Dag_Slicer.VecStr_append(self, x)
def empty(self):
return _Dag_Slicer.VecStr_empty(self)
def size(self):
return _Dag_Slicer.VecStr_size(self)
def swap(self, v):
return _Dag_Slicer.VecStr_swap(self, v)
def begin(self):
return _Dag_Slicer.VecStr_begin(self)
def end(self):
return _Dag_Slicer.VecStr_end(self)
def rbegin(self):
return _Dag_Slicer.VecStr_rbegin(self)
def rend(self):
return _Dag_Slicer.VecStr_rend(self)
def clear(self):
return _Dag_Slicer.VecStr_clear(self)
def get_allocator(self):
return _Dag_Slicer.VecStr_get_allocator(self)
def pop_back(self):
return _Dag_Slicer.VecStr_pop_back(self)
def erase(self, *args):
return _Dag_Slicer.VecStr_erase(self, *args)
def __init__(self, *args):
this = _Dag_Slicer.new_VecStr(*args)
try:
self.this.append(this)
except Exception:
self.this = this
def push_back(self, x):
return _Dag_Slicer.VecStr_push_back(self, x)
def front(self):
return _Dag_Slicer.VecStr_front(self)
def back(self):
return _Dag_Slicer.VecStr_back(self)
def assign(self, n, x):
return _Dag_Slicer.VecStr_assign(self, n, x)
def resize(self, *args):
return _Dag_Slicer.VecStr_resize(self, *args)
def insert(self, *args):
return _Dag_Slicer.VecStr_insert(self, *args)
def reserve(self, n):
return _Dag_Slicer.VecStr_reserve(self, n)
def capacity(self):
return _Dag_Slicer.VecStr_capacity(self)
__swig_destroy__ = _Dag_Slicer.delete_VecStr
__del__ = lambda self: None
VecStr_swigregister = _Dag_Slicer.VecStr_swigregister
VecStr_swigregister(VecStr)
class Dag_Slicer(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, Dag_Slicer, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, Dag_Slicer, name)
__repr__ = _swig_repr
def __init__(self, file_to_slice, ax, coord, by_grp=False, ca=False):
this = _Dag_Slicer.new_Dag_Slicer(file_to_slice, ax, coord, by_grp, ca)
try:
self.this.append(this)
except Exception:
self.this = this
__swig_destroy__ = _Dag_Slicer.delete_Dag_Slicer
__del__ = lambda self: None
def create_slice(self):
return _Dag_Slicer.Dag_Slicer_create_slice(self)
def rename_group(self, group_global_id, new_name):
return _Dag_Slicer.Dag_Slicer_rename_group(self, group_global_id, new_name)
def write_file(self, new_filename):
return _Dag_Slicer.Dag_Slicer_write_file(self, new_filename)
__swig_setmethods__["group_names"] = _Dag_Slicer.Dag_Slicer_group_names_set
__swig_getmethods__["group_names"] = _Dag_Slicer.Dag_Slicer_group_names_get
if _newclass:
group_names = _swig_property(_Dag_Slicer.Dag_Slicer_group_names_get, _Dag_Slicer.Dag_Slicer_group_names_set)
__swig_setmethods__["dum_pnts"] = _Dag_Slicer.Dag_Slicer_dum_pnts_set
__swig_getmethods__["dum_pnts"] = _Dag_Slicer.Dag_Slicer_dum_pnts_get
if _newclass:
dum_pnts = _swig_property(_Dag_Slicer.Dag_Slicer_dum_pnts_get, _Dag_Slicer.Dag_Slicer_dum_pnts_set)
__swig_setmethods__["slice_x_pnts"] = _Dag_Slicer.Dag_Slicer_slice_x_pnts_set
__swig_getmethods__["slice_x_pnts"] = _Dag_Slicer.Dag_Slicer_slice_x_pnts_get
if _newclass:
slice_x_pnts = _swig_property(_Dag_Slicer.Dag_Slicer_slice_x_pnts_get, _Dag_Slicer.Dag_Slicer_slice_x_pnts_set)
__swig_setmethods__["slice_y_pnts"] = _Dag_Slicer.Dag_Slicer_slice_y_pnts_set
__swig_getmethods__["slice_y_pnts"] = _Dag_Slicer.Dag_Slicer_slice_y_pnts_get
if _newclass:
slice_y_pnts = _swig_property(_Dag_Slicer.Dag_Slicer_slice_y_pnts_get, _Dag_Slicer.Dag_Slicer_slice_y_pnts_set)
__swig_setmethods__["group_ids"] = _Dag_Slicer.Dag_Slicer_group_ids_set
__swig_getmethods__["group_ids"] = _Dag_Slicer.Dag_Slicer_group_ids_get
if _newclass:
group_ids = _swig_property(_Dag_Slicer.Dag_Slicer_group_ids_get, _Dag_Slicer.Dag_Slicer_group_ids_set)
__swig_setmethods__["path_coding"] = _Dag_Slicer.Dag_Slicer_path_coding_set
__swig_getmethods__["path_coding"] = _Dag_Slicer.Dag_Slicer_path_coding_get
if _newclass:
path_coding = _swig_property(_Dag_Slicer.Dag_Slicer_path_coding_get, _Dag_Slicer.Dag_Slicer_path_coding_set)
__swig_setmethods__["filename"] = _Dag_Slicer.Dag_Slicer_filename_set
__swig_getmethods__["filename"] = _Dag_Slicer.Dag_Slicer_filename_get
if _newclass:
filename = _swig_property(_Dag_Slicer.Dag_Slicer_filename_get, _Dag_Slicer.Dag_Slicer_filename_set)
__swig_setmethods__["axis"] = _Dag_Slicer.Dag_Slicer_axis_set
__swig_getmethods__["axis"] = _Dag_Slicer.Dag_Slicer_axis_get
if _newclass:
axis = _swig_property(_Dag_Slicer.Dag_Slicer_axis_get, _Dag_Slicer.Dag_Slicer_axis_set)
__swig_setmethods__["coord"] = _Dag_Slicer.Dag_Slicer_coord_set
__swig_getmethods__["coord"] = _Dag_Slicer.Dag_Slicer_coord_get
if _newclass:
coord = _swig_property(_Dag_Slicer.Dag_Slicer_coord_get, _Dag_Slicer.Dag_Slicer_coord_set)
__swig_setmethods__["by_group"] = _Dag_Slicer.Dag_Slicer_by_group_set
__swig_getmethods__["by_group"] = _Dag_Slicer.Dag_Slicer_by_group_get
if _newclass:
by_group = _swig_property(_Dag_Slicer.Dag_Slicer_by_group_get, _Dag_Slicer.Dag_Slicer_by_group_set)
__swig_setmethods__["verbose"] = _Dag_Slicer.Dag_Slicer_verbose_set
__swig_getmethods__["verbose"] = _Dag_Slicer.Dag_Slicer_verbose_get
if _newclass:
verbose = _swig_property(_Dag_Slicer.Dag_Slicer_verbose_get, _Dag_Slicer.Dag_Slicer_verbose_set)
__swig_setmethods__["debug"] = _Dag_Slicer.Dag_Slicer_debug_set
__swig_getmethods__["debug"] = _Dag_Slicer.Dag_Slicer_debug_get
if _newclass:
debug = _swig_property(_Dag_Slicer.Dag_Slicer_debug_get, _Dag_Slicer.Dag_Slicer_debug_set)
__swig_setmethods__["roam"] = _Dag_Slicer.Dag_Slicer_roam_set
__swig_getmethods__["roam"] = _Dag_Slicer.Dag_Slicer_roam_get
if _newclass:
roam = _swig_property(_Dag_Slicer.Dag_Slicer_roam_get, _Dag_Slicer.Dag_Slicer_roam_set)
__swig_setmethods__["roam_warning"] = _Dag_Slicer.Dag_Slicer_roam_warning_set
__swig_getmethods__["roam_warning"] = _Dag_Slicer.Dag_Slicer_roam_warning_get
if _newclass:
roam_warning = _swig_property(_Dag_Slicer.Dag_Slicer_roam_warning_get, _Dag_Slicer.Dag_Slicer_roam_warning_set)
Dag_Slicer_swigregister = _Dag_Slicer.Dag_Slicer_swigregister
Dag_Slicer_swigregister(Dag_Slicer)
# This file is compatible with both classic and new-style classes.
| 31.293317 | 119 | 0.701997 | 3,232 | 25,285 | 4.862005 | 0.061262 | 0.185567 | 0.167048 | 0.110029 | 0.805396 | 0.730495 | 0.65273 | 0.579547 | 0.429617 | 0.333652 | 0 | 0.000801 | 0.209887 | 25,285 | 807 | 120 | 31.332094 | 0.785764 | 0.011627 | 0 | 0.43771 | 1 | 0 | 0.015132 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.324916 | false | 0.003367 | 0.015152 | 0.306397 | 0.757576 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
d9e5c3ef2fcb6ccf6ffb351c2a1654d39b16c4b2 | 86 | py | Python | app/audit/__init__.py | Tianny/incepiton_mysql | 8ef86d19f26e22a39b4fac99ea0b4286c3226b6f | [
"MIT"
] | 74 | 2018-01-04T09:36:32.000Z | 2018-09-06T07:13:57.000Z | app/audit/__init__.py | Tianny/incepiton-mysql | 8ef86d19f26e22a39b4fac99ea0b4286c3226b6f | [
"MIT"
] | 1 | 2018-02-24T09:00:15.000Z | 2018-04-20T02:08:52.000Z | app/audit/__init__.py | Tianny/incepiton_mysql | 8ef86d19f26e22a39b4fac99ea0b4286c3226b6f | [
"MIT"
] | 23 | 2018-01-13T05:26:22.000Z | 2018-07-05T13:34:07.000Z | from flask import Blueprint
audit = Blueprint('audit', __name__)
from . import views | 17.2 | 36 | 0.767442 | 11 | 86 | 5.636364 | 0.636364 | 0.451613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151163 | 86 | 5 | 37 | 17.2 | 0.849315 | 0 | 0 | 0 | 0 | 0 | 0.057471 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0.666667 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 6 |
8a085188ddd18b70d115dd9282eae4ea46d0075e | 29,499 | py | Python | saleor/plugins/vatlayer/tests/test_vatlayer.py | largotuan/sonjay | 9826dc7dfe9acd5a03aaa136020f105309805402 | [
"CC-BY-4.0"
] | 1 | 2021-03-23T20:27:50.000Z | 2021-03-23T20:27:50.000Z | saleor/plugins/vatlayer/tests/test_vatlayer.py | largotuan/sonjay | 9826dc7dfe9acd5a03aaa136020f105309805402 | [
"CC-BY-4.0"
] | 18 | 2021-03-23T20:32:14.000Z | 2022-03-12T01:04:06.000Z | saleor/plugins/vatlayer/tests/test_vatlayer.py | largotuan/sonjay | 9826dc7dfe9acd5a03aaa136020f105309805402 | [
"CC-BY-4.0"
] | 2 | 2021-12-03T16:59:37.000Z | 2022-02-19T13:05:42.000Z | from decimal import Decimal
from unittest.mock import Mock
from urllib.parse import urlparse
import pytest
from django.core.exceptions import ValidationError
from django.test import override_settings
from django_countries.fields import Country
from prices import Money, MoneyRange, TaxedMoney, TaxedMoneyRange
from ....checkout import calculations
from ....checkout.fetch import fetch_checkout_info, fetch_checkout_lines
from ....checkout.utils import add_variant_to_checkout
from ....core.prices import quantize_price
from ....core.taxes import zero_taxed_money
from ....product.models import Product
from ...manager import get_plugins_manager
from ...models import PluginConfiguration
from ...vatlayer import (
DEFAULT_TAX_RATE_NAME,
apply_tax_to_price,
get_tax_rate_by_name,
get_taxed_shipping_price,
get_taxes_for_country,
)
from ..plugin import VatlayerPlugin
def get_url_path(url):
parsed_url = urlparse(url)
return parsed_url.path
def get_redirect_location(response):
# Due to Django 1.8 compatibility, we have to handle both cases
return get_url_path(response["Location"])
@pytest.fixture
def compare_taxes():
def fun(taxes_1, taxes_2):
assert len(taxes_1) == len(taxes_2)
for rate_name, tax in taxes_1.items():
value_1 = tax["value"]
value_2 = taxes_2.get(rate_name)["value"]
assert value_1 == value_2
return fun
def test_get_tax_rate_by_name(taxes):
rate_name = "pharmaceuticals"
tax_rate = get_tax_rate_by_name(rate_name, taxes)
assert tax_rate == taxes[rate_name]["value"]
def test_get_tax_rate_by_name_fallback_to_standard(taxes):
rate_name = "unexisting tax rate"
tax_rate = get_tax_rate_by_name(rate_name, taxes)
assert tax_rate == taxes[DEFAULT_TAX_RATE_NAME]["value"]
def test_get_tax_rate_by_name_empty_taxes(product):
rate_name = "unexisting tax rate"
tax_rate = get_tax_rate_by_name(rate_name)
assert tax_rate == 0
@pytest.mark.parametrize(
"price, charge_taxes, expected_price",
[
(
Money(10, "USD"),
False,
TaxedMoney(net=Money(10, "USD"), gross=Money(10, "USD")),
),
(
Money(10, "USD"),
True,
TaxedMoney(net=Money("8.13", "USD"), gross=Money(10, "USD")),
),
],
)
def test_get_taxed_shipping_price(
site_settings, vatlayer, price, charge_taxes, expected_price
):
site_settings.charge_taxes_on_shipping = charge_taxes
site_settings.save()
shipping_price = get_taxed_shipping_price(price, taxes=vatlayer)
assert shipping_price == expected_price
def test_get_taxes_for_country(vatlayer, compare_taxes):
taxes = get_taxes_for_country(Country("PL"))
compare_taxes(taxes, vatlayer)
def test_apply_tax_to_price_do_not_include_tax(site_settings, taxes):
site_settings.include_taxes_in_prices = False
site_settings.save()
money = Money(100, "USD")
assert apply_tax_to_price(taxes, "standard", money) == TaxedMoney(
net=Money(100, "USD"), gross=Money(123, "USD")
)
assert apply_tax_to_price(taxes, "medical", money) == TaxedMoney(
net=Money(100, "USD"), gross=Money(108, "USD")
)
taxed_money = TaxedMoney(net=Money(100, "USD"), gross=Money(100, "USD"))
assert apply_tax_to_price(taxes, "standard", taxed_money) == TaxedMoney(
net=Money(100, "USD"), gross=Money(123, "USD")
)
assert apply_tax_to_price(taxes, "medical", taxed_money) == TaxedMoney(
net=Money(100, "USD"), gross=Money(108, "USD")
)
def test_apply_tax_to_price_do_not_include_tax_fallback_to_standard_rate(
site_settings, taxes
):
site_settings.include_taxes_in_prices = False
site_settings.save()
money = Money(100, "USD")
taxed_money = TaxedMoney(net=Money(100, "USD"), gross=Money(123, "USD"))
assert apply_tax_to_price(taxes, "space suits", money) == taxed_money
def test_apply_tax_to_price_include_tax(taxes):
money = Money(100, "USD")
assert apply_tax_to_price(taxes, "standard", money) == TaxedMoney(
net=Money("81.30", "USD"), gross=Money(100, "USD")
)
assert apply_tax_to_price(taxes, "medical", money) == TaxedMoney(
net=Money("92.59", "USD"), gross=Money(100, "USD")
)
def test_apply_tax_to_price_include_fallback_to_standard_rate(taxes):
money = Money(100, "USD")
assert apply_tax_to_price(taxes, "space suits", money) == TaxedMoney(
net=Money("81.30", "USD"), gross=Money(100, "USD")
)
taxed_money = TaxedMoney(net=Money(100, "USD"), gross=Money(100, "USD"))
assert apply_tax_to_price(taxes, "space suits", taxed_money) == TaxedMoney(
net=Money("81.30", "USD"), gross=Money(100, "USD")
)
def test_apply_tax_to_price_raise_typeerror_for_invalid_type(taxes):
with pytest.raises(TypeError):
assert apply_tax_to_price(taxes, "standard", 100)
def test_apply_tax_to_price_no_taxes_return_taxed_money():
money = Money(100, "USD")
taxed_money = TaxedMoney(net=Money(100, "USD"), gross=Money(100, "USD"))
assert apply_tax_to_price(None, "standard", money) == taxed_money
assert apply_tax_to_price(None, "medical", taxed_money) == taxed_money
def test_apply_tax_to_price_no_taxes_return_taxed_money_range():
money_range = MoneyRange(Money(100, "USD"), Money(200, "USD"))
taxed_money_range = TaxedMoneyRange(
TaxedMoney(net=Money(100, "USD"), gross=Money(100, "USD")),
TaxedMoney(net=Money(200, "USD"), gross=Money(200, "USD")),
)
assert apply_tax_to_price(None, "standard", money_range) == taxed_money_range
assert apply_tax_to_price(None, "standard", taxed_money_range) == taxed_money_range
def test_apply_tax_to_price_no_taxes_raise_typeerror_for_invalid_type():
with pytest.raises(TypeError):
assert apply_tax_to_price(None, "standard", 100)
def test_vatlayer_plugin_caches_taxes(
vatlayer, monkeypatch, product, address, channel_USD
):
mocked_taxes = Mock(wraps=get_taxes_for_country)
monkeypatch.setattr(
"saleor.plugins.vatlayer.plugin.get_taxes_for_country", mocked_taxes
)
manager = get_plugins_manager()
plugin = manager.get_plugin(VatlayerPlugin.PLUGIN_ID)
variant = product.variants.first()
channel_listing = variant.channel_listings.get(channel=channel_USD)
price = variant.get_price(product, [], channel_USD, channel_listing, None)
address.country = Country("de")
plugin.apply_taxes_to_product(
product, price, address.country, TaxedMoney(price, price)
)
plugin.apply_taxes_to_shipping(price, address, TaxedMoney(price, price))
assert mocked_taxes.call_count == 1
@pytest.mark.parametrize(
"with_discount, expected_net, expected_gross, voucher_amount, taxes_in_prices",
[
(True, "20.34", "25.00", "0.0", True),
(True, "20.00", "25.75", "5.0", False),
(False, "40.00", "49.20", "0.0", False),
(False, "29.52", "37.00", "3.0", True),
],
)
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_calculate_checkout_total(
site_settings,
vatlayer,
checkout_with_item,
address,
shipping_zone,
discount_info,
with_discount,
expected_net,
expected_gross,
voucher_amount,
taxes_in_prices,
):
manager = get_plugins_manager()
checkout_with_item.shipping_address = address
checkout_with_item.save()
voucher_amount = Money(voucher_amount, "USD")
checkout_with_item.shipping_method = shipping_zone.shipping_methods.get()
checkout_with_item.discount = voucher_amount
checkout_with_item.save()
line = checkout_with_item.lines.first()
product = line.variant.product
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = taxes_in_prices
site_settings.save()
discounts = [discount_info] if with_discount else None
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, discounts, manager)
total = manager.calculate_checkout_total(checkout_info, lines, address, discounts)
total = quantize_price(total, total.currency)
assert total == TaxedMoney(
net=Money(expected_net, "USD"), gross=Money(expected_gross, "USD")
)
@pytest.mark.parametrize(
"with_discount, expected_net, expected_gross, taxes_in_prices",
[
(True, "25.00", "30.75", False),
(False, "40.65", "50.00", True),
(False, "50.00", "61.50", False),
(True, "20.35", "25.00", True),
],
)
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_calculate_checkout_subtotal(
site_settings,
vatlayer,
checkout_with_item,
address,
shipping_zone,
discount_info,
with_discount,
expected_net,
expected_gross,
taxes_in_prices,
stock,
):
variant = stock.product_variant
site_settings.include_taxes_in_prices = taxes_in_prices
site_settings.save()
checkout_with_item.shipping_address = address
checkout_with_item.shipping_method = shipping_zone.shipping_methods.get()
checkout_with_item.save()
manager = get_plugins_manager()
product = variant.product
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
discounts = [discount_info] if with_discount else None
add_variant_to_checkout(checkout_with_item, variant, 2)
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, discounts, manager)
total = manager.calculate_checkout_subtotal(
checkout_info, lines, address, discounts
)
total = quantize_price(total, total.currency)
assert total == TaxedMoney(
net=Money(expected_net, "USD"), gross=Money(expected_gross, "USD")
)
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_calculate_order_shipping(vatlayer, order_line, shipping_zone, site_settings):
manager = get_plugins_manager()
order = order_line.order
method = shipping_zone.shipping_methods.get()
order.shipping_address = order.billing_address.get_copy()
order.shipping_method_name = method.name
order.shipping_method = method
order.save()
price = manager.calculate_order_shipping(order)
price = quantize_price(price, price.currency)
assert price == TaxedMoney(net=Money("8.13", "USD"), gross=Money("10.00", "USD"))
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_calculate_order_shipping_for_order_without_shipping(
vatlayer, order_line, shipping_zone, site_settings
):
manager = get_plugins_manager()
order = order_line.order
order.shipping_method = None
order.save()
price = manager.calculate_order_shipping(order)
assert price == zero_taxed_money(order.currency)
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_calculate_order_line_unit(vatlayer, order_line, shipping_zone, site_settings):
manager = get_plugins_manager()
order_line.unit_price = TaxedMoney(
net=Money("10.00", "USD"), gross=Money("10.00", "USD")
)
order_line.save()
order = order_line.order
method = shipping_zone.shipping_methods.get()
order.shipping_address = order.billing_address.get_copy()
order.shipping_method_name = method.name
order.shipping_method = method
order.save()
variant = order_line.variant
product = variant.product
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
line_price = manager.calculate_order_line_unit(order, order_line, variant, product)
line_price = quantize_price(line_price, line_price.currency)
assert line_price == TaxedMoney(
net=Money("8.13", "USD"), gross=Money("10.00", "USD")
)
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_calculate_checkout_line_total(
vatlayer, checkout_with_item, shipping_zone, address, site_settings
):
manager = get_plugins_manager()
line = checkout_with_item.lines.first()
assert line.quantity > 1
method = shipping_zone.shipping_methods.get()
checkout_with_item.shipping_address = address
checkout_with_item.shipping_method_name = method.name
checkout_with_item.shipping_method = method
checkout_with_item.save()
variant = line.variant
product = variant.product
manager.assign_tax_code_to_object_meta(variant.product, "standard")
product.save()
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
checkout_line_info = lines[0]
line_price = manager.calculate_checkout_line_total(
checkout_info,
lines,
checkout_line_info,
address,
[],
)
assert line_price == TaxedMoney(
net=Money("8.13", "USD") * line.quantity,
gross=Money("10.00", "USD") * line.quantity,
)
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_calculate_checkout_line_unit_price(
vatlayer, checkout_with_item, shipping_zone, address, site_settings
):
manager = get_plugins_manager()
total_price = TaxedMoney(net=Money("10.00", "USD"), gross=Money("10.00", "USD"))
line = checkout_with_item.lines.first()
method = shipping_zone.shipping_methods.get()
checkout_with_item.shipping_address = address
checkout_with_item.shipping_method_name = method.name
checkout_with_item.shipping_method = method
checkout_with_item.save()
variant = line.variant
product = variant.product
manager.assign_tax_code_to_object_meta(variant.product, "standard")
product.save()
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
checkout_line_info = lines[0]
line_price = manager.calculate_checkout_line_unit_price(
total_price,
line.quantity,
checkout_info,
lines,
checkout_line_info,
address,
[],
)
assert line_price == TaxedMoney(
net=Money("8.13", "USD"), gross=Money("10.00", "USD")
)
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_tax_rate_percentage_value(
vatlayer, order_line, shipping_zone, site_settings, product
):
manager = get_plugins_manager()
country = Country("PL")
tax_rate = manager.get_tax_rate_percentage_value(product, country)
assert tax_rate == Decimal("23")
def test_save_plugin_configuration(vatlayer, settings):
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
manager = get_plugins_manager()
manager.save_plugin_configuration(VatlayerPlugin.PLUGIN_ID, {"active": False})
configuration = PluginConfiguration.objects.get(identifier=VatlayerPlugin.PLUGIN_ID)
assert not configuration.active
def test_save_plugin_configuration_cannot_be_enabled_without_config(settings):
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
manager = get_plugins_manager()
with pytest.raises(ValidationError):
manager.save_plugin_configuration(
VatlayerPlugin.PLUGIN_ID,
{"active": True},
)
def test_show_taxes_on_storefront(vatlayer, settings):
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
manager = get_plugins_manager()
assert manager.show_taxes_on_storefront() is True
def test_get_tax_rate_type_choices(vatlayer, settings, monkeypatch):
expected_choices = [
"accommodation",
"admission to cultural events",
"admission to entertainment events",
]
monkeypatch.setattr(
"saleor.plugins.vatlayer.plugin.get_tax_rate_types",
lambda: expected_choices,
)
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
manager = get_plugins_manager()
choices = manager.get_tax_rate_type_choices()
# add a default choice
expected_choices.append("standard")
assert len(choices) == 4
for choice in choices:
assert choice.code in expected_choices
def test_apply_taxes_to_product(
vatlayer, settings, variant, discount_info, channel_USD
):
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
country = Country("PL")
manager = get_plugins_manager()
variant.product.metadata = {
"vatlayer.code": "standard",
"vatlayer.description": "standard",
}
variant_channel_listing = variant.channel_listings.get(channel=channel_USD)
price = manager.apply_taxes_to_product(
variant.product,
variant.get_price(
variant.product, [], channel_USD, variant_channel_listing, [discount_info]
),
country,
)
assert price == TaxedMoney(net=Money("4.07", "USD"), gross=Money("5.00", "USD"))
def test_apply_taxes_to_product_uses_taxes_from_product_type(
vatlayer, settings, variant, discount_info, channel_USD
):
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
country = Country("PL")
manager = get_plugins_manager()
product = variant.product
product.metadata = {}
product.product_type.metadata = {
"vatlayer.code": "standard",
"vatlayer.description": "standard",
}
variant_channel_listing = variant.channel_listings.get(channel=channel_USD)
price = manager.apply_taxes_to_product(
product,
variant.get_price(
product, [], channel_USD, variant_channel_listing, [discount_info]
),
country,
)
assert price == TaxedMoney(net=Money("4.07", "USD"), gross=Money("5.00", "USD"))
def test_calculations_checkout_total_with_vatlayer(
vatlayer, settings, checkout_with_item
):
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
manager = get_plugins_manager()
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
checkout_subtotal = calculations.checkout_total(
manager=manager,
checkout_info=checkout_info,
lines=lines,
address=checkout_with_item.shipping_address,
)
assert checkout_subtotal == TaxedMoney(
net=Money("30", "USD"), gross=Money("30", "USD")
)
def test_calculations_checkout_subtotal_with_vatlayer(
vatlayer, settings, checkout_with_item
):
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
manager = get_plugins_manager()
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
checkout_subtotal = calculations.checkout_subtotal(
manager=manager,
checkout_info=checkout_info,
lines=lines,
address=checkout_with_item.shipping_address,
)
assert checkout_subtotal == TaxedMoney(
net=Money("30", "USD"), gross=Money("30", "USD")
)
def test_calculations_checkout_shipping_price_with_vatlayer(
vatlayer, settings, checkout_with_item
):
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
manager = get_plugins_manager()
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
checkout_shipping_price = calculations.checkout_shipping_price(
manager=manager,
checkout_info=checkout_info,
lines=lines,
address=checkout_with_item.shipping_address,
)
assert checkout_shipping_price == TaxedMoney(
net=Money("0", "USD"), gross=Money("0", "USD")
)
def test_skip_diabled_plugin(settings):
settings.PLUGINS = ["saleor.plugins.vatlayer.plugin.VatlayerPlugin"]
manager = get_plugins_manager()
plugin: VatlayerPlugin = manager.get_plugin(VatlayerPlugin.PLUGIN_ID)
assert (
plugin._skip_plugin(
previous_value=TaxedMoney(net=Money(0, "USD"), gross=Money(0, "USD"))
)
is True
)
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_checkout_line_tax_rate(
site_settings,
vatlayer,
checkout_with_item,
address,
shipping_zone,
):
manager = get_plugins_manager()
checkout_with_item.shipping_address = address
checkout_with_item.save()
checkout_with_item.shipping_method = shipping_zone.shipping_methods.get()
checkout_with_item.save()
line = checkout_with_item.lines.first()
product = line.variant.product
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = True
site_settings.save()
unit_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
checkout_line_info = lines[0]
tax_rate = manager.get_checkout_line_tax_rate(
checkout_info,
lines,
checkout_line_info,
checkout_with_item.shipping_address,
[],
unit_price,
)
assert tax_rate == Decimal("0.230")
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_checkout_line_tax_rate_order_not_valid(
site_settings,
vatlayer,
checkout_with_item,
):
manager = get_plugins_manager()
line = checkout_with_item.lines.first()
product = line.variant.product
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = True
site_settings.save()
unit_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
checkout_line_info = lines[0]
tax_rate = manager.get_checkout_line_tax_rate(
checkout_info,
lines,
checkout_line_info,
checkout_with_item.shipping_address,
[],
unit_price,
)
assert tax_rate == Decimal("0.25")
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_order_line_tax_rate(
site_settings,
vatlayer,
order_line,
address,
shipping_zone,
):
manager = get_plugins_manager()
order = order_line.order
product = Product.objects.get(name=order_line.product_name)
product.save()
method = shipping_zone.shipping_methods.get()
order.shipping_address = address
order.shipping_method_name = method.name
order.shipping_method = method
order.save()
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = True
site_settings.save()
unit_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
tax_rate = manager.get_order_line_tax_rate(order, product, address, unit_price)
assert tax_rate == Decimal("0.230")
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_order_line_tax_rate_order_no_address_given(
site_settings,
order_line,
vatlayer,
):
manager = get_plugins_manager()
order = order_line.order
product = Product.objects.get(name=order_line.product_name)
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = True
site_settings.save()
unit_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
tax_rate = manager.get_order_line_tax_rate(order, product, None, unit_price)
assert tax_rate == Decimal("0.25")
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_checkout_shipping_tax_rate(
site_settings,
vatlayer,
checkout_with_item,
address,
shipping_zone,
):
manager = get_plugins_manager()
checkout_with_item.shipping_address = address
checkout_with_item.save()
checkout_with_item.shipping_method = shipping_zone.shipping_methods.get()
checkout_with_item.save()
line = checkout_with_item.lines.first()
product = line.variant.product
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = True
site_settings.save()
unit_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
tax_rate = manager.get_checkout_shipping_tax_rate(
checkout_info,
lines,
checkout_with_item.shipping_address,
[],
unit_price,
)
assert tax_rate == Decimal("0.230")
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_checkout_shipping_tax_rate_no_address(
site_settings,
vatlayer,
checkout_with_item,
):
manager = get_plugins_manager()
line = checkout_with_item.lines.first()
product = line.variant.product
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = True
site_settings.save()
unit_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
tax_rate = manager.get_checkout_shipping_tax_rate(
checkout_info,
lines,
checkout_with_item.shipping_address,
[],
unit_price,
)
assert tax_rate == Decimal("0.25")
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_checkout_shipping_tax_rate_skip_plugin(
site_settings, vatlayer, checkout_with_item, monkeypatch, address, shipping_zone
):
manager = get_plugins_manager()
monkeypatch.setattr(
"saleor.plugins.vatlayer.plugin.VatlayerPlugin._skip_plugin",
lambda *_: True,
)
checkout_with_item.shipping_address = address
checkout_with_item.save()
checkout_with_item.shipping_method = shipping_zone.shipping_methods.get()
checkout_with_item.save()
line = checkout_with_item.lines.first()
product = line.variant.product
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = True
site_settings.save()
unit_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
lines = fetch_checkout_lines(checkout_with_item)
checkout_info = fetch_checkout_info(checkout_with_item, lines, [], manager)
tax_rate = manager.get_checkout_shipping_tax_rate(
checkout_info,
lines,
checkout_with_item.shipping_address,
[],
unit_price,
)
assert tax_rate == Decimal("0.25")
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_order_shipping_tax_rate(
site_settings,
vatlayer,
order_line,
address,
shipping_zone,
):
manager = get_plugins_manager()
order = order_line.order
product = Product.objects.get(name=order_line.product_name)
product.save()
method = shipping_zone.shipping_methods.get()
order.shipping_address = address
order.shipping_method_name = method.name
order.shipping_method = method
order.save()
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = True
site_settings.save()
shipping_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
tax_rate = manager.get_order_shipping_tax_rate(order, shipping_price)
assert tax_rate == Decimal("0.230")
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_order_shipping_tax_rate_no_address_given(
site_settings,
order_line,
vatlayer,
):
manager = get_plugins_manager()
order = order_line.order
product = Product.objects.get(name=order_line.product_name)
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
order.shipping_address = None
order.billing_address = None
order.save(update_fields=["shipping_address", "billing_address"])
site_settings.include_taxes_in_prices = True
site_settings.save()
shipping_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
tax_rate = manager.get_order_shipping_tax_rate(order, shipping_price)
assert tax_rate == Decimal("0.25")
@override_settings(PLUGINS=["saleor.plugins.vatlayer.plugin.VatlayerPlugin"])
def test_get_order_shipping_tax_rate_skip_plugin(
site_settings, order_line, vatlayer, monkeypatch
):
manager = get_plugins_manager()
monkeypatch.setattr(
"saleor.plugins.vatlayer.plugin.VatlayerPlugin._skip_plugin",
lambda *_: True,
)
order = order_line.order
product = Product.objects.get(name=order_line.product_name)
manager.assign_tax_code_to_object_meta(product, "standard")
product.save()
site_settings.include_taxes_in_prices = True
site_settings.save()
shipping_price = TaxedMoney(Money(12, "USD"), Money(15, "USD"))
tax_rate = manager.get_order_shipping_tax_rate(order, shipping_price)
assert tax_rate == Decimal("0.25")
| 32.309967 | 88 | 0.720397 | 3,674 | 29,499 | 5.430321 | 0.060152 | 0.048719 | 0.064959 | 0.043306 | 0.817653 | 0.791339 | 0.777655 | 0.760614 | 0.748985 | 0.721919 | 0 | 0.014972 | 0.173565 | 29,499 | 912 | 89 | 32.345395 | 0.803396 | 0.00278 | 0 | 0.644323 | 0 | 0 | 0.092507 | 0.050214 | 0 | 0 | 0 | 0 | 0.069767 | 1 | 0.062928 | false | 0 | 0.024624 | 0.001368 | 0.091655 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
8a237e83dd537770718fa0f466e5fcc681d7e373 | 188 | py | Python | sktime/forecasters/__init__.py | Mo-Saif/sktime | f3c71977c113d986276fca2bdedf70faaa33f040 | [
"BSD-3-Clause"
] | 1 | 2019-09-29T07:11:33.000Z | 2019-09-29T07:11:33.000Z | sktime/forecasters/__init__.py | ClaudiaSanches/sktime | 63e7839e80ca6d5fe5fc4f33389ec3bcacd8aa59 | [
"BSD-3-Clause"
] | null | null | null | sktime/forecasters/__init__.py | ClaudiaSanches/sktime | 63e7839e80ca6d5fe5fc4f33389ec3bcacd8aa59 | [
"BSD-3-Clause"
] | 1 | 2019-05-08T10:42:20.000Z | 2019-05-08T10:42:20.000Z | from .forecasters import ARIMAForecaster
from .forecasters import ExpSmoothingForecaster
from .forecasters import DummyForecaster
from sktime.forecasters.compose import EnsembleForecaster
| 37.6 | 57 | 0.888298 | 18 | 188 | 9.277778 | 0.5 | 0.269461 | 0.377246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085106 | 188 | 4 | 58 | 47 | 0.97093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
8a3d8f8502c59f36138302b6ff137c25a0da8749 | 91 | py | Python | project_name/__init__.py | paulovitorweb/flask-project-template | dfe9c08b75f84fea0f2330545b72df2ea8f36757 | [
"Unlicense"
] | 41 | 2021-08-17T13:48:51.000Z | 2022-03-17T19:57:54.000Z | project_name/__init__.py | paulovitorweb/flask-project-template | dfe9c08b75f84fea0f2330545b72df2ea8f36757 | [
"Unlicense"
] | 19 | 2021-11-16T14:34:16.000Z | 2021-12-09T09:57:41.000Z | project_name/__init__.py | paulovitorweb/flask-project-template | dfe9c08b75f84fea0f2330545b72df2ea8f36757 | [
"Unlicense"
] | 10 | 2021-09-11T15:36:42.000Z | 2022-03-28T21:53:11.000Z | from .base import create_app, create_app_wsgi
__all__ = ["create_app", "create_app_wsgi"]
| 22.75 | 45 | 0.78022 | 14 | 91 | 4.357143 | 0.5 | 0.590164 | 0.491803 | 0.590164 | 0.721311 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.10989 | 91 | 3 | 46 | 30.333333 | 0.753086 | 0 | 0 | 0 | 0 | 0 | 0.274725 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
8a704b7fdae146f35d548d21800604d36c99c29b | 33,976 | py | Python | 1st_order_HMM/with_unknown_words_concideration/4/code.py | ziko1305/Hidden-Markov-Based-Mathematical-Model | 0ad906e6c4f99ad91d4047aed78df49399447633 | [
"MIT"
] | null | null | null | 1st_order_HMM/with_unknown_words_concideration/4/code.py | ziko1305/Hidden-Markov-Based-Mathematical-Model | 0ad906e6c4f99ad91d4047aed78df49399447633 | [
"MIT"
] | null | null | null | 1st_order_HMM/with_unknown_words_concideration/4/code.py | ziko1305/Hidden-Markov-Based-Mathematical-Model | 0ad906e6c4f99ad91d4047aed78df49399447633 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from collections import defaultdict
from sklearn.metrics import f1_score,accuracy_score
import math
split_sequences=True
word2idx = {}
tag2idx = {}
pos2idx = {}
word_idx = 0
tag_idx = 0
pos_idx = 0
Xtrain = []
Ytrain = []
Ptrain=[]
currentX = []
currentY = []
currentP=[]
for line in open('train1_all.txt',encoding='utf-8'):
line = line.rstrip()
if line:
r = line.split()
word, tag, pos = r
if word not in word2idx:
word2idx[word] = word_idx
word_idx += 1
currentX.append(word2idx[word])
if tag not in tag2idx:
tag2idx[tag] = tag_idx
tag_idx += 1
currentY.append(tag2idx[tag])
if pos not in pos2idx:
pos2idx[pos] = pos_idx
pos_idx += 1
currentP.append(pos2idx[pos])
elif split_sequences:
Xtrain.append(currentX)
Ytrain.append(currentY)
Ptrain.append(currentP)
currentX = []
currentY = []
currentP=[]
if not split_sequences:
Xtrain = currentX
Ytrain = currentY
Ptrain=currentP
V = len(word2idx) + 1
M = max(max(p) for p in Ptrain) + 1
A = np.ones((M, M))
pi = np.ones(M)
for p in Ptrain:
pi[p[0]] += 1
for i in range(len(p)-1):
A[p[i], p[i+1]] += 1
A /= A.sum(axis=1, keepdims=True)
pi /= pi.sum()
# find the observation matrix
B = np.ones((M, V)) # add-one smoothing
for x, p in zip(Xtrain, Ptrain):
for xi, pii in zip(x, p):
B[pii, xi] += 1
B /= B.sum(axis=1, keepdims=True)
class HMM:
def __init__(self, M,A,B,C,C1,pi,SUFF,SUFF1,word2idx):
self.M = M # number of hidden states
self.A=A
self.B=B
self.C=C
self.C1=C1
self.pi=pi
self.SUFF=SUFF
self.SUFF1=SUFF1
self.word2idx=word2idx
def get_state_sequence(self, x):
# returns the most likely state sequence given observed sequence x
# using the Viterbi algorithm
T = len(x)
delta = np.zeros((T, self.M))
psi = np.zeros((T, self.M))
try:
delta[0] = np.log(self.pi) + np.log(self.B[:,x[0]])
except IndexError:
try:
delta[0] = np.log(self.pi) + np.log(self.C[:,SUFF.index([*word2idx][x[0]][:2])])
except IndexError:
delta[0] = np.log(self.pi)
except ValueError:
try:
delta[0] = np.log(self.pi) + np.log(self.C1[:,SUFF1.index([*word2idx][x[0]][:1])])
except ValueError:
delta[0] = np.log(self.pi)
for t in range(1, T):
for j in range(self.M):
try:
delta[t,j] = np.max(delta[t-1] + np.log(self.A[:,j])) + np.log(self.B[j, x[t]])
psi[t,j] = np.argmax(delta[t-1] + np.log(self.A[:,j]))
except IndexError:
try:
delta[t,j] = np.max(delta[t-1] + np.log(self.A[:,j])) + np.log(self.C[j, SUFF.index([*word2idx][x[t]][:2])])
psi[t,j] = np.argmax(delta[t-1] + np.log(self.A[:,j]))
except ValueError:
try:
delta[t,j] = np.max(delta[t-1] + np.log(self.A[:,j])) + np.log(self.C1[j, SUFF1.index([*word2idx][x[t]][:1])])
psi[t,j] = np.argmax(delta[t-1] + np.log(self.A[:,j]))
except ValueError:
delta[t,j] = np.max(delta[t-1] + np.log(self.A[:,j]))
psi[t,j] = np.argmax(delta[t-1] + np.log(self.A[:,j]))
except IndexError:
try:
delta[t,j] = np.max(delta[t-1] + np.log(self.A[:,j])) + np.log(self.C1[j, SUFF1.index([*word2idx][x[t]][:1])])
psi[t,j] = np.argmax(delta[t-1] + np.log(self.A[:,j]))
except IndexError:
delta[t,j] = np.max(delta[t-1] + np.log(self.A[:,j]))
psi[t,j] = np.argmax(delta[t-1] + np.log(self.A[:,j]))
# backtrack
states = np.zeros(T, dtype=np.int32)
states[T-1] = np.argmax(delta[T-1])
for t in range(T-2, -1, -1):
states[t] = psi[t+1, states[t+1]]
return states
SUFF=[]
SUFF1=[]
for w in [*word2idx]:
SUFF.append(w[:2])
SUFF1.append(w[:1])
suff_pos = defaultdict(list)
suff_pos1 = defaultdict(list)
idx=0
for suf in SUFF:
suff_pos[suf].append(idx)
idx+=1
idx=0
for suf in SUFF1:
suff_pos1[suf].append(idx)
idx+=1
C=np.ones((M,V))
C1=np.ones((M,V))
for l in suff_pos.values():
C[:,l]=B[:,l].sum(axis=1, keepdims=True)/len(l)
for l in suff_pos1.values():
C1[:,l]=B[:,l].sum(axis=1, keepdims=True)/len(l)
word_idx = len(word2idx)
w_known=len(word2idx)
word2idx_test={}
Xtest = []
currentX = []
for line in open('test1_all.txt',encoding='utf-8'):
line = line.rstrip()
if line:
r = line.split()
word = r[0]
if word not in word2idx:
word2idx_test[word] = word_idx
word2idx[word]= word_idx
word_idx += 1
else:
word2idx_test[word]=word2idx[word]
currentX.append(word2idx_test[word])
elif split_sequences:
Xtest.append(currentX)
currentX = []
hmm = HMM(M,A,B,C,C1,pi,SUFF,SUFF1,word2idx)
P1test = []
for x in Xtest:
p = hmm.get_state_sequence(x)
P1test.append(p)
Ptest=[]
list1=[]
for line in open('test1_all.txt',encoding='utf-8'):
line = line.rstrip()
if line:
r = line.split()
tag = r[2]
list1.append(pos2idx[tag])
elif split_sequences:
Ptest.append(list1)
list1 = []
Ytest=[]
list1=[]
for line in open('test1_all.txt',encoding='utf-8'):
line = line.rstrip()
if line:
r = line.split()
tag = r[1]
list1.append(tag2idx[tag])
elif split_sequences:
Ytest.append(list1)
list1 = []
def accuracy(T, Y):
# inputs are lists of lists
n_correct = 0
n_total = 0
for t, y in zip(T, Y):
n_correct += np.sum(t == y)
n_total += len(y)
return float(n_correct) / n_total
def accuracy_unknown(T, Y,X):
# inputs are lists of lists
n_correct = 0
n_total = 0
for t, y,x in zip(T, Y,X):
for ti,yi,xi in zip (t,y,x):
if xi>w_known :
n_correct += (ti == yi)
n_total += 1
return float(n_correct) / n_total
def accuracy_known(T, Y,X):
# inputs are lists of lists
n_correct = 0
n_total = 0
for t, y,x in zip(T, Y,X):
for ti,yi,xi in zip (t,y,x):
if xi<=w_known :
n_correct += (ti == yi)
n_total += 1
return float(n_correct) / n_total
def total_f1_score(T, Y):
# inputs are lists of lists
T = np.concatenate(T)
Y = np.concatenate(Y)
return f1_score(T, Y, average=None).mean()
print("test accuracy:", accuracy(P1test, Ptest))
accuracy=accuracy(P1test, Ptest)
print("test f1:", total_f1_score(P1test, Ptest))
f1=total_f1_score(P1test, Ptest)
print("test accuracy for unknown words:",accuracy_unknown(P1test, Ptest,Xtest))
unknown_ac=accuracy_unknown(Ptest, P1test,Xtest)
print("test accuracy for known words:",accuracy_known(P1test, Ptest,Xtest))
known_ac=accuracy_known(Ptest, P1test,Xtest)
Y = np.concatenate(Ytest)
P = np.concatenate(Ptest)
Z = np.concatenate(P1test)
X= np.concatenate(Xtest)
print("accuracy score for tag "+list(tag2idx.keys())[0]+" :", accuracy_score(Z[np.where(Y==0)[0]], P[np.where(Y==0)[0]]))
a11= accuracy_score(Z[np.where(Y==0)[0]], P[np.where(Y==0)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[1]+" :", accuracy_score(Z[np.where(Y==1)[0]], P[np.where(Y==1)[0]]))
a12= accuracy_score(Z[np.where(Y==1)[0]], P[np.where(Y==1)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[2]+" :", accuracy_score(Z[np.where(Y==2)[0]], P[np.where(Y==2)[0]]))
a13=accuracy_score(Z[np.where(Y==2)[0]], P[np.where(Y==2)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[3]+" :", accuracy_score(Z[np.where(Y==3)[0]], P[np.where(Y==3)[0]]))
a14=accuracy_score(Z[np.where(Y==3)[0]], P[np.where(Y==3)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[4]+" :",accuracy_score(Z[np.where(Y==4)[0]], P[np.where(Y==4)[0]]))
a15=accuracy_score(Z[np.where(Y==4)[0]], P[np.where(Y==4)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[5]+" :", accuracy_score(Z[np.where(Y==5)[0]], P[np.where(Y==5)[0]]))
a16=accuracy_score(Z[np.where(Y==5)[0]], P[np.where(Y==5)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[6]+" :", accuracy_score(Z[np.where(Y==6)[0]], P[np.where(Y==6)[0]]))
a17=accuracy_score(Z[np.where(Y==6)[0]], P[np.where(Y==6)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[7]+" :", accuracy_score(Z[np.where(Y==7)[0]], P[np.where(Y==7)[0]]))
a18=accuracy_score(Z[np.where(Y==7)[0]], P[np.where(Y==7)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[8]+" :", accuracy_score(Z[np.where(Y==8)[0]], P[np.where(Y==8)[0]]))
a19= accuracy_score(Z[np.where(Y==8)[0]], P[np.where(Y==8)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[9]+" :", accuracy_score(Z[np.where(Y==9)[0]], P[np.where(Y==9)[0]]))
a110= accuracy_score(Z[np.where(Y==9)[0]], P[np.where(Y==9)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[10]+" :", accuracy_score(Z[np.where(Y==10)[0]], P[np.where(Y==10)[0]]))
a111= accuracy_score(Z[np.where(Y==10)[0]], P[np.where(Y==10)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[11]+" :", accuracy_score(Z[np.where(Y==11)[0]], P[np.where(Y==11)[0]]))
a112= accuracy_score(Z[np.where(Y==11)[0]], P[np.where(Y==11)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[12]+" :", accuracy_score(Z[np.where(Y==12)[0]], P[np.where(Y==12)[0]]))
a113= accuracy_score(Z[np.where(Y==12)[0]], P[np.where(Y==12)[0]])
print("accuracy score for tag "+list(tag2idx.keys())[13]+" :", accuracy_score(Z[np.where(Y==13)[0]], P[np.where(Y==13)[0]]))
a114= accuracy_score(Z[np.where(Y==13)[0]], P[np.where(Y==13)[0]])
print("test f1 for tag "+list(tag2idx.keys())[0]+" :", f1_score(Z[np.where(Y==0)[0]], P[np.where(Y==0)[0]], average=None).mean())
a21= f1_score(Z[np.where(Y==0)[0]], P[np.where(Y==0)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[1]+" :", f1_score(Z[np.where(Y==1)[0]], P[np.where(Y==1)[0]], average=None).mean())
a22= f1_score(Z[np.where(Y==1)[0]], P[np.where(Y==1)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[2]+" :", f1_score(Z[np.where(Y==2)[0]], P[np.where(Y==2)[0]], average=None).mean())
a23=f1_score(Z[np.where(Y==2)[0]], P[np.where(Y==2)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[3]+" :", f1_score(Z[np.where(Y==3)[0]], P[np.where(Y==3)[0]], average=None).mean())
a24=f1_score(Z[np.where(Y==3)[0]], P[np.where(Y==3)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[4]+" :", f1_score(Z[np.where(Y==4)[0]], P[np.where(Y==4)[0]], average=None).mean())
a25=f1_score(Z[np.where(Y==4)[0]], P[np.where(Y==4)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[5]+" :", f1_score(Z[np.where(Y==5)[0]], P[np.where(Y==5)[0]], average=None).mean())
a26=f1_score(Z[np.where(Y==5)[0]], P[np.where(Y==5)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[6]+" :", f1_score(Z[np.where(Y==6)[0]], P[np.where(Y==6)[0]], average=None).mean())
a27=f1_score(Z[np.where(Y==6)[0]], P[np.where(Y==6)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[7]+" :", f1_score(Z[np.where(Y==7)[0]], P[np.where(Y==7)[0]], average=None).mean())
a28=f1_score(Z[np.where(Y==7)[0]], P[np.where(Y==7)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[8]+" :", f1_score(Z[np.where(Y==8)[0]], P[np.where(Y==8)[0]], average=None).mean())
a29= f1_score(Z[np.where(Y==8)[0]], P[np.where(Y==8)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[9]+" :", f1_score(Z[np.where(Y==9)[0]], P[np.where(Y==9)[0]], average=None).mean())
a210= f1_score(Z[np.where(Y==9)[0]], P[np.where(Y==9)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[10]+" :", f1_score(Z[np.where(Y==10)[0]], P[np.where(Y==10)[0]], average=None).mean())
a211= f1_score(Z[np.where(Y==10)[0]], P[np.where(Y==10)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[11]+" :", f1_score(Z[np.where(Y==11)[0]], P[np.where(Y==11)[0]], average=None).mean())
a212= f1_score(Z[np.where(Y==11)[0]], P[np.where(Y==11)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[12]+" :", f1_score(Z[np.where(Y==12)[0]], P[np.where(Y==12)[0]], average=None).mean())
a213= f1_score(Z[np.where(Y==12)[0]], P[np.where(Y==12)[0]], average=None).mean()
print("test f1 for tag "+list(tag2idx.keys())[13]+" :", f1_score(Z[np.where(Y==13)[0]], P[np.where(Y==13)[0]], average=None).mean())
a214= f1_score(Z[np.where(Y==13)[0]], P[np.where(Y==13)[0]], average=None).mean()
print("accuracy for unknown words for tag "+list(tag2idx.keys())[0]+" :", accuracy_score(Z[np.where(Y==0)[0][X[np.where(Y==0)[0]]>w_known]],P[np.where(Y==0)[0][X[np.where(Y==0)[0]]>w_known]]))
a31= accuracy_score(Z[np.where(Y==0)[0][X[np.where(Y==0)[0]]>w_known]],P[np.where(Y==0)[0][X[np.where(Y==0)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[0]+" :",len(set(np.where(X[np.where(Y==0)[0]]>w_known)[0])))
a41= len(set(np.where(X[np.where(Y==0)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[1]+" :", accuracy_score(Z[np.where(Y==1)[0][X[np.where(Y==1)[0]]>w_known]],P[np.where(Y==1)[0][X[np.where(Y==1)[0]]>w_known]]))
a32= accuracy_score(Z[np.where(Y==1)[0][X[np.where(Y==1)[0]]>w_known]],P[np.where(Y==1)[0][X[np.where(Y==1)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[1]+" :",len(set(np.where(X[np.where(Y==1)[0]]>w_known)[0])))
a42= len(set(np.where(X[np.where(Y==1)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[2]+" :", accuracy_score(Z[np.where(Y==2)[0][X[np.where(Y==2)[0]]>w_known]],P[np.where(Y==2)[0][X[np.where(Y==2)[0]]>w_known]]))
a33= accuracy_score(Z[np.where(Y==2)[0][X[np.where(Y==2)[0]]>w_known]],P[np.where(Y==2)[0][X[np.where(Y==2)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[2]+" :",len(set(np.where(X[np.where(Y==2)[0]]>w_known)[0])))
a43= len(set(np.where(X[np.where(Y==2)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[3]+" :", accuracy_score(Z[np.where(Y==3)[0][X[np.where(Y==3)[0]]>w_known]],P[np.where(Y==3)[0][X[np.where(Y==3)[0]]>w_known]]))
a34= accuracy_score(Z[np.where(Y==3)[0][X[np.where(Y==3)[0]]>w_known]],P[np.where(Y==3)[0][X[np.where(Y==3)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[3]+" :",len(set(np.where(X[np.where(Y==3)[0]]>w_known)[0])))
a44= len(set(np.where(X[np.where(Y==3)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[4]+" :", accuracy_score(Z[np.where(Y==4)[0][X[np.where(Y==4)[0]]>w_known]],P[np.where(Y==4)[0][X[np.where(Y==4)[0]]>w_known]]))
a35= accuracy_score(Z[np.where(Y==4)[0][X[np.where(Y==4)[0]]>w_known]],P[np.where(Y==4)[0][X[np.where(Y==4)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[4]+" :",len(set(np.where(X[np.where(Y==4)[0]]>w_known)[0])))
a45= len(set(np.where(X[np.where(Y==4)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[5]+" :", accuracy_score(Z[np.where(Y==5)[0][X[np.where(Y==5)[0]]>w_known]],P[np.where(Y==5)[0][X[np.where(Y==5)[0]]>w_known]]))
a36= accuracy_score(Z[np.where(Y==5)[0][X[np.where(Y==5)[0]]>w_known]],P[np.where(Y==5)[0][X[np.where(Y==5)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[5]+" :",len(set(np.where(X[np.where(Y==5)[0]]>w_known)[0])))
a46= len(set(np.where(X[np.where(Y==5)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[6]+" :", accuracy_score(Z[np.where(Y==6)[0][X[np.where(Y==6)[0]]>w_known]],P[np.where(Y==6)[0][X[np.where(Y==6)[0]]>w_known]]))
a37= accuracy_score(Z[np.where(Y==6)[0][X[np.where(Y==6)[0]]>w_known]],P[np.where(Y==6)[0][X[np.where(Y==6)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[6]+" :",len(set(np.where(X[np.where(Y==6)[0]]>w_known)[0])))
a47= len(set(np.where(X[np.where(Y==6)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[7]+" :", accuracy_score(Z[np.where(Y==7)[0][X[np.where(Y==7)[0]]>w_known]],P[np.where(Y==7)[0][X[np.where(Y==7)[0]]>w_known]]))
a38= accuracy_score(Z[np.where(Y==7)[0][X[np.where(Y==7)[0]]>w_known]],P[np.where(Y==7)[0][X[np.where(Y==7)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[7]+" :",len(set(np.where(X[np.where(Y==7)[0]]>608)[0])))
a48= len(set(np.where(X[np.where(Y==7)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[8]+" :", accuracy_score(Z[np.where(Y==8)[0][X[np.where(Y==8)[0]]>w_known]],P[np.where(Y==8)[0][X[np.where(Y==8)[0]]>w_known]]))
a39= accuracy_score(Z[np.where(Y==8)[0][X[np.where(Y==8)[0]]>w_known]],P[np.where(Y==8)[0][X[np.where(Y==8)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[8]+" :",len(set(np.where(X[np.where(Y==8)[0]]>w_known)[0])))
a49= len(set(np.where(X[np.where(Y==8)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[9]+" :", accuracy_score(Z[np.where(Y==9)[0][X[np.where(Y==9)[0]]>w_known]],P[np.where(Y==9)[0][X[np.where(Y==9)[0]]>w_known]]))
a310= accuracy_score(Z[np.where(Y==9)[0][X[np.where(Y==9)[0]]>w_known]],P[np.where(Y==9)[0][X[np.where(Y==9)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[9]+" :",len(set(np.where(X[np.where(Y==9)[0]]>w_known)[0])))
a410= len(set(np.where(X[np.where(Y==9)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[10]+" :", accuracy_score(Z[np.where(Y==10)[0][X[np.where(Y==10)[0]]>w_known]],P[np.where(Y==10)[0][X[np.where(Y==10)[0]]>w_known]]))
a311=accuracy_score(Z[np.where(Y==10)[0][X[np.where(Y==10)[0]]>w_known]],P[np.where(Y==10)[0][X[np.where(Y==10)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[10]+" :",len(set(np.where(X[np.where(Y==10)[0]]>w_known)[0])))
a411= len(set(np.where(X[np.where(Y==10)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[11]+" :", accuracy_score(Z[np.where(Y==11)[0][X[np.where(Y==11)[0]]>w_known]],P[np.where(Y==11)[0][X[np.where(Y==11)[0]]>w_known]]))
a312= accuracy_score(Z[np.where(Y==11)[0][X[np.where(Y==11)[0]]>w_known]],P[np.where(Y==11)[0][X[np.where(Y==11)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[11]+" :",len(set(np.where(X[np.where(Y==11)[0]]>w_known)[0])))
a412= len(set(np.where(X[np.where(Y==11)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[12]+" :", accuracy_score(Z[np.where(Y==12)[0][X[np.where(Y==12)[0]]>w_known]],P[np.where(Y==12)[0][X[np.where(Y==12)[0]]>w_known]]))
a313= accuracy_score(Z[np.where(Y==12)[0][X[np.where(Y==12)[0]]>w_known]],P[np.where(Y==12)[0][X[np.where(Y==12)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[12]+" :",len(set(np.where(X[np.where(Y==12)[0]]>w_known)[0])))
a413= len(set(np.where(X[np.where(Y==12)[0]]>w_known)[0]))
print("accuracy for unknown words for tag "+list(tag2idx.keys())[13]+" :", accuracy_score(Z[np.where(Y==13)[0][X[np.where(Y==13)[0]]>w_known]],P[np.where(Y==13)[0][X[np.where(Y==13)[0]]>w_known]]))
a314= accuracy_score(Z[np.where(Y==13)[0][X[np.where(Y==13)[0]]>w_known]],P[np.where(Y==13)[0][X[np.where(Y==13)[0]]>w_known]])
print("number of unknown words for tag "+list(tag2idx.keys())[13]+" :",len(set(np.where(X[np.where(Y==13)[0]]>w_known)[0])))
a414= len(set(np.where(X[np.where(Y==13)[0]]>w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[0]+" :", accuracy_score(Z[np.where(Y==0)[0][X[np.where(Y==0)[0]]<=w_known]],P[np.where(Y==0)[0][X[np.where(Y==0)[0]]<=w_known]]))
a51= accuracy_score(Z[np.where(Y==0)[0][X[np.where(Y==0)[0]]<=w_known]],P[np.where(Y==0)[0][X[np.where(Y==0)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[0]+" :",len(set(np.where(X[np.where(Y==0)[0]]<=w_known)[0])))
a61= len(set(np.where(X[np.where(Y==0)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[1]+" :", accuracy_score(Z[np.where(Y==1)[0][X[np.where(Y==1)[0]]<=w_known]],P[np.where(Y==1)[0][X[np.where(Y==1)[0]]<=w_known]]))
a52= accuracy_score(Z[np.where(Y==1)[0][X[np.where(Y==1)[0]]<=w_known]],P[np.where(Y==1)[0][X[np.where(Y==1)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[1]+" :",len(set(np.where(X[np.where(Y==1)[0]]<=w_known)[0])))
a62= len(set(np.where(X[np.where(Y==1)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[2]+" :", accuracy_score(Z[np.where(Y==2)[0][X[np.where(Y==2)[0]]<=w_known]],P[np.where(Y==2)[0][X[np.where(Y==2)[0]]<=w_known]]))
a53= accuracy_score(Z[np.where(Y==2)[0][X[np.where(Y==2)[0]]<=w_known]],P[np.where(Y==2)[0][X[np.where(Y==2)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[2]+" :",len(set(np.where(X[np.where(Y==2)[0]]<=w_known)[0])))
a63= len(set(np.where(X[np.where(Y==2)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[3]+" :", accuracy_score(Z[np.where(Y==3)[0][X[np.where(Y==3)[0]]<=w_known]],P[np.where(Y==3)[0][X[np.where(Y==3)[0]]<=w_known]]))
a54= accuracy_score(Z[np.where(Y==3)[0][X[np.where(Y==3)[0]]<=w_known]],P[np.where(Y==3)[0][X[np.where(Y==3)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[3]+" :",len(set(np.where(X[np.where(Y==3)[0]]<=w_known)[0])))
a64=len(set(np.where(X[np.where(Y==3)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[4]+" :", accuracy_score(Z[np.where(Y==4)[0][X[np.where(Y==4)[0]]<=w_known]],P[np.where(Y==4)[0][X[np.where(Y==4)[0]]<=w_known]]))
a55= accuracy_score(Z[np.where(Y==4)[0][X[np.where(Y==4)[0]]<=w_known]],P[np.where(Y==4)[0][X[np.where(Y==4)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[4]+" :",len(set(np.where(X[np.where(Y==4)[0]]<=w_known)[0])))
a65=len(set(np.where(X[np.where(Y==4)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[5]+" :", accuracy_score(Z[np.where(Y==5)[0][X[np.where(Y==5)[0]]<=w_known]],P[np.where(Y==5)[0][X[np.where(Y==5)[0]]<=w_known]]))
a56= accuracy_score(Z[np.where(Y==5)[0][X[np.where(Y==5)[0]]<=w_known]],P[np.where(Y==5)[0][X[np.where(Y==5)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[5]+" :",len(set(np.where(X[np.where(Y==5)[0]]<=w_known)[0])))
a66=len(set(np.where(X[np.where(Y==5)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[6]+" :", accuracy_score(Z[np.where(Y==6)[0][X[np.where(Y==6)[0]]<=w_known]],P[np.where(Y==6)[0][X[np.where(Y==6)[0]]<=w_known]]))
a57= accuracy_score(Z[np.where(Y==6)[0][X[np.where(Y==6)[0]]<=w_known]],P[np.where(Y==6)[0][X[np.where(Y==6)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[6]+" :",len(set(np.where(X[np.where(Y==6)[0]]<=w_known)[0])))
a67=len(set(np.where(X[np.where(Y==6)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[7]+" :", accuracy_score(Z[np.where(Y==7)[0][X[np.where(Y==7)[0]]<=w_known]],P[np.where(Y==7)[0][X[np.where(Y==7)[0]]<=w_known]]))
a58= accuracy_score(Z[np.where(Y==7)[0][X[np.where(Y==7)[0]]<=w_known]],P[np.where(Y==7)[0][X[np.where(Y==7)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[7]+" :",len(set(np.where(X[np.where(Y==7)[0]]<=w_known)[0])))
a68=len(set(np.where(X[np.where(Y==7)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[8]+" :", accuracy_score(Z[np.where(Y==8)[0][X[np.where(Y==8)[0]]<=w_known]],P[np.where(Y==8)[0][X[np.where(Y==8)[0]]<=w_known]]))
a59= accuracy_score(Z[np.where(Y==8)[0][X[np.where(Y==8)[0]]<=w_known]],P[np.where(Y==8)[0][X[np.where(Y==8)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[8]+" :",len(set(np.where(X[np.where(Y==8)[0]]<=w_known)[0])))
a69=len(set(np.where(X[np.where(Y==8)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[9]+" :", accuracy_score(Z[np.where(Y==9)[0][X[np.where(Y==9)[0]]<=w_known]],P[np.where(Y==9)[0][X[np.where(Y==9)[0]]<=w_known]]))
a510= accuracy_score(Z[np.where(Y==9)[0][X[np.where(Y==9)[0]]<=w_known]],P[np.where(Y==9)[0][X[np.where(Y==9)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[9]+" :",len(set(np.where(X[np.where(Y==9)[0]]<=w_known)[0])))
a610=len(set(np.where(X[np.where(Y==9)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[10]+" :", accuracy_score(Z[np.where(Y==10)[0][X[np.where(Y==10)[0]]<=w_known]],P[np.where(Y==10)[0][X[np.where(Y==10)[0]]<=w_known]]))
a511= accuracy_score(Z[np.where(Y==10)[0][X[np.where(Y==10)[0]]<=w_known]],P[np.where(Y==10)[0][X[np.where(Y==10)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[10]+" :",len(set(np.where(X[np.where(Y==10)[0]]<=w_known)[0])))
a611=len(set(np.where(X[np.where(Y==10)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[11]+" :", accuracy_score(Z[np.where(Y==11)[0][X[np.where(Y==11)[0]]<=w_known]],P[np.where(Y==11)[0][X[np.where(Y==11)[0]]<=w_known]]))
a512= accuracy_score(Z[np.where(Y==11)[0][X[np.where(Y==11)[0]]<=w_known]],P[np.where(Y==11)[0][X[np.where(Y==11)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[11]+" :",len(set(np.where(X[np.where(Y==11)[0]]<=w_known)[0])))
a612=len(set(np.where(X[np.where(Y==11)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[12]+" :", accuracy_score(Z[np.where(Y==12)[0][X[np.where(Y==12)[0]]<=w_known]],P[np.where(Y==12)[0][X[np.where(Y==12)[0]]<=w_known]]))
a513= accuracy_score(Z[np.where(Y==12)[0][X[np.where(Y==12)[0]]<=w_known]],P[np.where(Y==12)[0][X[np.where(Y==12)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[12]+" :",len(set(np.where(X[np.where(Y==12)[0]]<=w_known)[0])))
a613=len(set(np.where(X[np.where(Y==12)[0]]<=w_known)[0]))
print("accuracy for known words for tag "+list(tag2idx.keys())[13]+" :", accuracy_score(Z[np.where(Y==13)[0][X[np.where(Y==13)[0]]<=w_known]],P[np.where(Y==13)[0][X[np.where(Y==13)[0]]<=w_known]]))
a514= accuracy_score(Z[np.where(Y==13)[0][X[np.where(Y==13)[0]]<=w_known]],P[np.where(Y==13)[0][X[np.where(Y==13)[0]]<=w_known]])
print("number of known words for tag "+list(tag2idx.keys())[13]+" :",len(set(np.where(X[np.where(Y==13)[0]]<=w_known)[0])))
a614=len(set(np.where(X[np.where(Y==13)[0]]<=w_known)[0]))
A=[[a11,a21,a31,a41,a51,a61],[a12,a22,a32,a42,a52,a62],[a13,a23,a33,a43,a53,a63],[a14,a24,a34,a44,a54,a64]
,[a15,a25,a35,a45,a55,a65],[a16,a26,a36,a46,a56,a66],[a17,a27,a37,a47,a57,a67],[a18,a28,a38,a48,a58,a68],
[a19,a29,a39,a49,a59,a69],[a110,a210,a310,a410,a510,a610],[a111,a211,a311,a411,a511,a611],[a112,a212,a312,a412,a512,a612],
[a113,a213,a313,a413,a513,a613],[a114,a214,a314,a414,a514,a614]]
table_4 = pd.DataFrame(A,
columns=['accuracy', 'f1_score', 'accuracy for unknown words',
'number of unknown words','accuracy for known words','number of known words']
,index=[list(tag2idx.keys())[0], list(tag2idx.keys())[1], list(tag2idx.keys())[2] , list(tag2idx.keys())[3]
, list(tag2idx.keys())[4] , list(tag2idx.keys())[5],list(tag2idx.keys())[6],list(tag2idx.keys())[7]
,list(tag2idx.keys())[8],list(tag2idx.keys())[9],list(tag2idx.keys())[10],list(tag2idx.keys())[11],
list(tag2idx.keys())[12],list(tag2idx.keys())[13]])
str_pythontex=[float("{0:.2f}".format(list(table_4.loc["A"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["A"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["A"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["A"])[4]*100)),
round(list(table_4.loc["A"])[3]),round(list(table_4.loc["A"])[5]),
float("{0:.2f}".format(list(table_4.loc["B"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["B"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["B"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["B"])[4]*100)),
round(list(table_4.loc["B"])[3]),round(list(table_4.loc["B"])[5]),
float("{0:.2f}".format(list(table_4.loc["C"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["C"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["C"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["C"])[4]*100)),
round(list(table_4.loc["C"])[3]),round(list(table_4.loc["C"])[5]),
float("{0:.2f}".format(list(table_4.loc["D"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["D"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["D"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["D"])[4]*100)),
round(list(table_4.loc["D"])[3]),round(list(table_4.loc["D"])[5]),
float("{0:.2f}".format(list(table_4.loc["E"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["E"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["E"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["E"])[4]*100)),
round(list(table_4.loc["E"])[3]),round(list(table_4.loc["E"])[5]),
float("{0:.2f}".format(list(table_4.loc["F"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["F"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["F"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["F"])[4]*100)),
round(list(table_4.loc["F"])[3]),round(list(table_4.loc["F"])[5]),
float("{0:.2f}".format(list(table_4.loc["G"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["G"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["G"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["G"])[4]*100)),
round(list(table_4.loc["G"])[3]),round(list(table_4.loc["G"])[5]),
float("{0:.2f}".format(list(table_4.loc["H"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["H"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["H"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["H"])[4]*100)),
round(list(table_4.loc["H"])[3]),round(list(table_4.loc["H"])[5]),
float("{0:.2f}".format(list(table_4.loc["I"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["I"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["I"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["I"])[4]*100)),
round(list(table_4.loc["I"])[3]),round(list(table_4.loc["I"])[5]),
float("{0:.2f}".format(list(table_4.loc["J"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["J"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["J"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["J"])[4]*100)),
round(list(table_4.loc["J"])[3]),round(list(table_4.loc["J"])[5]),
float("{0:.2f}".format(list(table_4.loc["K"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["K"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["K"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["K"])[4]*100)),
round(list(table_4.loc["K"])[3]),round(list(table_4.loc["K"])[5]),
float("{0:.2f}".format(list(table_4.loc["L"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["L"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["L"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["L"])[4]*100)),
round(list(table_4.loc["L"])[3]),round(list(table_4.loc["L"])[5]),
float("{0:.2f}".format(list(table_4.loc["M"])[0]*100)),float("{0:.2f}".format(list(table_4.loc["M"])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["M"])[2]*100)),float("{0:.2f}".format(list(table_4.loc["M"])[4]*100)),
round(list(table_4.loc["M"])[3]),round(list(table_4.loc["M"])[5]),
float("{0:.2f}".format(list(table_4.loc["."])[0]*100)),float("{0:.2f}".format(list(table_4.loc["."])[1]*100)),
float("{0:.2f}".format(list(table_4.loc["."])[2]*100)),float("{0:.2f}".format(list(table_4.loc["."])[4]*100)),
round(list(table_4.loc["."])[3]),round(list(table_4.loc["."])[5]),
float("{0:.2f}".format(float(accuracy)*100)),float("{0:.2f}".format(float(f1)*100)),
float("{0:.2f}".format(float(unknown_ac)*100)),float("{0:.2f}".format(float(known_ac)*100)),
len(word2idx)-w_known,float("{0:.2f}".format(float((len(word2idx)-w_known)/len(word2idx))*100))
]
L=[]
for x in str_pythontex:
if math.isnan(x):
L.append('NULL')
else:
L.append(str(x))
L1=[]
i=0
for x in L:
i=i+1
if i!=5 and i!=6 and x!="NULL":
L1.append(x+" \%")
elif x=="NULL":
L1.append(x)
elif i==5:
L1.append(x)
else:
L1.append(x)
i=0
L1[-1]=L1[-1]+" \%"
v4=[float("{0:.2f}".format(float(accuracy)*100)),float("{0:.2f}".format(float(f1)*100)),
float("{0:.2f}".format(float(unknown_ac)*100)),float("{0:.2f}".format(float(known_ac)*100)),
len(word2idx)-w_known,float("{0:.2f}".format(float((len(word2idx)-w_known)/len(word2idx))*100))]
v=[]
i=0
for x in v4:
i=i+1
if i!=5 :
v.append(str(x)+" \%")
else :
v.append(str(x))
vv.append(v)
| 60.455516 | 208 | 0.585737 | 6,512 | 33,976 | 2.986333 | 0.041308 | 0.161259 | 0.161259 | 0.07775 | 0.830051 | 0.820898 | 0.794261 | 0.774361 | 0.769527 | 0.734149 | 0 | 0.077698 | 0.126472 | 33,976 | 561 | 209 | 60.56328 | 0.577546 | 0.008123 | 0 | 0.207469 | 0 | 0 | 0.101706 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012448 | false | 0 | 0.010373 | 0 | 0.03527 | 0.182573 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
8a84de8b9e4b5170f874cdb101f45987efeb58f1 | 143 | py | Python | apps/convert/__init__.py | Poseidon-Dev/janus | 5724fb0df53ef9702d1d271e75d8f42073325a8a | [
"MIT"
] | null | null | null | apps/convert/__init__.py | Poseidon-Dev/janus | 5724fb0df53ef9702d1d271e75d8f42073325a8a | [
"MIT"
] | null | null | null | apps/convert/__init__.py | Poseidon-Dev/janus | 5724fb0df53ef9702d1d271e75d8f42073325a8a | [
"MIT"
] | null | null | null | from apps.convert.conn import ConversionConn
from apps.convert.events import ConvertEvents
def setup(bot):
bot.add_cog(ConvertEvents(bot)) | 28.6 | 45 | 0.811189 | 20 | 143 | 5.75 | 0.65 | 0.13913 | 0.26087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104895 | 143 | 5 | 46 | 28.6 | 0.898438 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8a9d0008b0f97c848ff8cc4972e5e3ccf2b2f2a8 | 117 | py | Python | scripts/post-update.py | attentus/attentus-wp | c5cf4db8ab0f5fe10b78dcf6a10c76006039b480 | [
"MIT"
] | 4 | 2021-11-19T19:31:58.000Z | 2022-02-10T15:15:31.000Z | scripts/post-update.py | attentus/attentus-wp | c5cf4db8ab0f5fe10b78dcf6a10c76006039b480 | [
"MIT"
] | null | null | null | scripts/post-update.py | attentus/attentus-wp | c5cf4db8ab0f5fe10b78dcf6a10c76006039b480 | [
"MIT"
] | null | null | null | import subprocess
subprocess.run(['wp', 'transient', 'delete', '--all'])
subprocess.run(['wp', 'rewrite', 'flush'])
| 23.4 | 54 | 0.649573 | 13 | 117 | 5.846154 | 0.692308 | 0.342105 | 0.394737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08547 | 117 | 4 | 55 | 29.25 | 0.71028 | 0 | 0 | 0 | 0 | 0 | 0.307692 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
8ab6bbc9fc6d7124e48d0f9021b568c5bd075555 | 31 | py | Python | pandoctools/regex_replace/__init__.py | contactzen/pandoctools | d3a9906ea00643de9354c58404785a623209609f | [
"MIT"
] | 46 | 2018-05-28T18:33:45.000Z | 2021-10-01T07:08:30.000Z | pandoctools/regex_replace/__init__.py | contactzen/pandoctools | d3a9906ea00643de9354c58404785a623209609f | [
"MIT"
] | 47 | 2018-01-18T10:18:27.000Z | 2021-08-14T04:49:40.000Z | pandoctools/regex_replace/__init__.py | contactzen/pandoctools | d3a9906ea00643de9354c58404785a623209609f | [
"MIT"
] | 10 | 2019-04-25T18:26:29.000Z | 2022-01-02T18:45:04.000Z | from .cli import regex_replace
| 15.5 | 30 | 0.83871 | 5 | 31 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129032 | 31 | 1 | 31 | 31 | 0.925926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
76d9832c4da1a7a7e86e7f204cf8de6c9d6a7445 | 17,360 | py | Python | keystone/tests/test_versions.py | raildo/keystone-1 | 2b26e45b72e03e64d18dc55cff7db24b7d1b4d5f | [
"Apache-2.0"
] | null | null | null | keystone/tests/test_versions.py | raildo/keystone-1 | 2b26e45b72e03e64d18dc55cff7db24b7d1b4d5f | [
"Apache-2.0"
] | null | null | null | keystone/tests/test_versions.py | raildo/keystone-1 | 2b26e45b72e03e64d18dc55cff7db24b7d1b4d5f | [
"Apache-2.0"
] | 1 | 2021-08-29T16:53:06.000Z | 2021-08-29T16:53:06.000Z | # Copyright 2012 OpenStack Foundation
#
# 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.
import random
import mock
from keystone import config
from keystone import controllers
from keystone.openstack.common import jsonutils
from keystone import tests
from keystone.tests import matchers
CONF = config.CONF
v2_MEDIA_TYPES = [
{
"base": "application/json",
"type": "application/"
"vnd.openstack.identity-v2.0+json"
}, {
"base": "application/xml",
"type": "application/"
"vnd.openstack.identity-v2.0+xml"
}
]
v2_HTML_DESCRIPTION = {
"rel": "describedby",
"type": "text/html",
"href": "http://docs.openstack.org/"
}
v2_EXPECTED_RESPONSE = {
"id": "v2.0",
"status": "stable",
"updated": "2014-04-17T00:00:00Z",
"links": [
{
"rel": "self",
"href": "", # Will get filled in after initialization
},
v2_HTML_DESCRIPTION
],
"media-types": v2_MEDIA_TYPES
}
v2_VERSION_RESPONSE = {
"version": v2_EXPECTED_RESPONSE
}
v3_MEDIA_TYPES = [
{
"base": "application/json",
"type": "application/"
"vnd.openstack.identity-v3+json"
}, {
"base": "application/xml",
"type": "application/"
"vnd.openstack.identity-v3+xml"
}
]
v3_EXPECTED_RESPONSE = {
"id": "v3.0",
"status": "stable",
"updated": "2013-03-06T00:00:00Z",
"links": [
{
"rel": "self",
"href": "", # Will get filled in after initialization
}
],
"media-types": v3_MEDIA_TYPES
}
v3_VERSION_RESPONSE = {
"version": v3_EXPECTED_RESPONSE
}
VERSIONS_RESPONSE = {
"versions": {
"values": [
v3_EXPECTED_RESPONSE,
v2_EXPECTED_RESPONSE
]
}
}
class VersionTestCase(tests.TestCase):
def setUp(self):
super(VersionTestCase, self).setUp()
self.load_backends()
self.public_app = self.loadapp('keystone', 'main')
self.admin_app = self.loadapp('keystone', 'admin')
self.config_fixture.config(
public_endpoint='http://localhost:%(public_port)d',
admin_endpoint='http://localhost:%(admin_port)d')
def config_overrides(self):
super(VersionTestCase, self).config_overrides()
port = random.randint(10000, 30000)
self.config_fixture.config(public_port=port, admin_port=port)
def _paste_in_port(self, response, port):
for link in response['links']:
if link['rel'] == 'self':
link['href'] = port
def test_public_versions(self):
client = self.client(self.public_app)
resp = client.get('/')
self.assertEqual(resp.status_int, 300)
data = jsonutils.loads(resp.body)
expected = VERSIONS_RESPONSE
for version in expected['versions']['values']:
if version['id'] == 'v3.0':
self._paste_in_port(
version, 'http://localhost:%s/v3/' % CONF.public_port)
elif version['id'] == 'v2.0':
self._paste_in_port(
version, 'http://localhost:%s/v2.0/' % CONF.public_port)
self.assertEqual(data, expected)
def test_admin_versions(self):
client = self.client(self.admin_app)
resp = client.get('/')
self.assertEqual(resp.status_int, 300)
data = jsonutils.loads(resp.body)
expected = VERSIONS_RESPONSE
for version in expected['versions']['values']:
if version['id'] == 'v3.0':
self._paste_in_port(
version, 'http://localhost:%s/v3/' % CONF.admin_port)
elif version['id'] == 'v2.0':
self._paste_in_port(
version, 'http://localhost:%s/v2.0/' % CONF.admin_port)
self.assertEqual(data, expected)
def test_use_site_url_if_endpoint_unset(self):
self.config_fixture.config(public_endpoint=None, admin_endpoint=None)
for app in (self.public_app, self.admin_app):
client = self.client(app)
resp = client.get('/')
self.assertEqual(resp.status_int, 300)
data = jsonutils.loads(resp.body)
expected = VERSIONS_RESPONSE
for version in expected['versions']['values']:
# localhost happens to be the site url for tests
if version['id'] == 'v3.0':
self._paste_in_port(
version, 'http://localhost/v3/')
elif version['id'] == 'v2.0':
self._paste_in_port(
version, 'http://localhost/v2.0/')
self.assertEqual(data, expected)
def test_public_version_v2(self):
client = self.client(self.public_app)
resp = client.get('/v2.0/')
self.assertEqual(resp.status_int, 200)
data = jsonutils.loads(resp.body)
expected = v2_VERSION_RESPONSE
self._paste_in_port(expected['version'],
'http://localhost:%s/v2.0/' % CONF.public_port)
self.assertEqual(data, expected)
def test_admin_version_v2(self):
client = self.client(self.admin_app)
resp = client.get('/v2.0/')
self.assertEqual(resp.status_int, 200)
data = jsonutils.loads(resp.body)
expected = v2_VERSION_RESPONSE
self._paste_in_port(expected['version'],
'http://localhost:%s/v2.0/' % CONF.admin_port)
self.assertEqual(data, expected)
def test_use_site_url_if_endpoint_unset_v2(self):
self.config_fixture.config(public_endpoint=None, admin_endpoint=None)
for app in (self.public_app, self.admin_app):
client = self.client(app)
resp = client.get('/v2.0/')
self.assertEqual(resp.status_int, 200)
data = jsonutils.loads(resp.body)
expected = v2_VERSION_RESPONSE
self._paste_in_port(expected['version'], 'http://localhost/v2.0/')
self.assertEqual(data, expected)
def test_public_version_v3(self):
client = self.client(self.public_app)
resp = client.get('/v3/')
self.assertEqual(resp.status_int, 200)
data = jsonutils.loads(resp.body)
expected = v3_VERSION_RESPONSE
self._paste_in_port(expected['version'],
'http://localhost:%s/v3/' % CONF.public_port)
self.assertEqual(data, expected)
def test_admin_version_v3(self):
client = self.client(self.public_app)
resp = client.get('/v3/')
self.assertEqual(resp.status_int, 200)
data = jsonutils.loads(resp.body)
expected = v3_VERSION_RESPONSE
self._paste_in_port(expected['version'],
'http://localhost:%s/v3/' % CONF.admin_port)
self.assertEqual(data, expected)
def test_use_site_url_if_endpoint_unset_v3(self):
self.config_fixture.config(public_endpoint=None, admin_endpoint=None)
for app in (self.public_app, self.admin_app):
client = self.client(app)
resp = client.get('/v3/')
self.assertEqual(resp.status_int, 200)
data = jsonutils.loads(resp.body)
expected = v3_VERSION_RESPONSE
self._paste_in_port(expected['version'], 'http://localhost/v3/')
self.assertEqual(data, expected)
@mock.patch.object(controllers, '_VERSIONS', ['v3'])
def test_v2_disabled(self):
client = self.client(self.public_app)
# request to /v2.0 should fail
resp = client.get('/v2.0/')
self.assertEqual(resp.status_int, 404)
# request to /v3 should pass
resp = client.get('/v3/')
self.assertEqual(resp.status_int, 200)
data = jsonutils.loads(resp.body)
expected = v3_VERSION_RESPONSE
self._paste_in_port(expected['version'],
'http://localhost:%s/v3/' % CONF.public_port)
self.assertEqual(data, expected)
# only v3 information should be displayed by requests to /
v3_only_response = {
"versions": {
"values": [
v3_EXPECTED_RESPONSE
]
}
}
self._paste_in_port(v3_only_response['versions']['values'][0],
'http://localhost:%s/v3/' % CONF.public_port)
resp = client.get('/')
self.assertEqual(resp.status_int, 300)
data = jsonutils.loads(resp.body)
self.assertEqual(data, v3_only_response)
@mock.patch.object(controllers, '_VERSIONS', ['v2.0'])
def test_v3_disabled(self):
client = self.client(self.public_app)
# request to /v3 should fail
resp = client.get('/v3/')
self.assertEqual(resp.status_int, 404)
# request to /v2.0 should pass
resp = client.get('/v2.0/')
self.assertEqual(resp.status_int, 200)
data = jsonutils.loads(resp.body)
expected = v2_VERSION_RESPONSE
self._paste_in_port(expected['version'],
'http://localhost:%s/v2.0/' % CONF.public_port)
self.assertEqual(data, expected)
# only v2 information should be displayed by requests to /
v2_only_response = {
"versions": {
"values": [
v2_EXPECTED_RESPONSE
]
}
}
self._paste_in_port(v2_only_response['versions']['values'][0],
'http://localhost:%s/v2.0/' % CONF.public_port)
resp = client.get('/')
self.assertEqual(resp.status_int, 300)
data = jsonutils.loads(resp.body)
self.assertEqual(data, v2_only_response)
class XmlVersionTestCase(tests.TestCase):
REQUEST_HEADERS = {'Accept': 'application/xml'}
DOC_INTRO = '<?xml version="1.0" encoding="UTF-8"?>'
XML_NAMESPACE_ATTR = 'xmlns="http://docs.openstack.org/identity/api/v2.0"'
XML_NAMESPACE_V3 = 'xmlns="http://docs.openstack.org/identity/api/v3"'
v2_VERSION_DATA = """
<version %(v2_namespace)s status="stable" updated="2014-04-17T00:00:00Z"
id="v2.0">
<media-types>
<media-type base="application/json" type="application/\
vnd.openstack.identity-v2.0+json"/>
<media-type base="application/xml" type="application/\
vnd.openstack.identity-v2.0+xml"/>
</media-types>
<links>
<link href="http://localhost:%%(port)s/v2.0/" rel="self"/>
<link href="http://docs.openstack.org/" type="text/html" \
rel="describedby"/>
</links>
<link href="http://localhost:%%(port)s/v2.0/" rel="self"/>
<link href="http://docs.openstack.org/" type="text/html" \
rel="describedby"/>
</version>
"""
v2_VERSION_RESPONSE = ((DOC_INTRO + v2_VERSION_DATA) %
dict(v2_namespace=XML_NAMESPACE_ATTR))
v3_VERSION_DATA = """
<version %(v3_namespace)s status="stable" updated="2013-03-06T00:00:00Z"
id="v3.0">
<media-types>
<media-type base="application/json" type="application/\
vnd.openstack.identity-v3+json"/>
<media-type base="application/xml" type="application/\
vnd.openstack.identity-v3+xml"/>
</media-types>
<links>
<link href="http://localhost:%%(port)s/v3/" rel="self"/>
</links>
</version>
"""
v3_VERSION_RESPONSE = ((DOC_INTRO + v3_VERSION_DATA) %
dict(v3_namespace=XML_NAMESPACE_V3))
VERSIONS_RESPONSE = ((DOC_INTRO + """
<versions %(namespace)s>
""" +
v3_VERSION_DATA +
v2_VERSION_DATA + """
</versions>
""") % dict(namespace=XML_NAMESPACE_ATTR, v3_namespace='', v2_namespace=''))
def setUp(self):
super(XmlVersionTestCase, self).setUp()
self.load_backends()
self.public_app = self.loadapp('keystone', 'main')
self.admin_app = self.loadapp('keystone', 'admin')
self.config_fixture.config(
public_endpoint='http://localhost:%(public_port)d',
admin_endpoint='http://localhost:%(admin_port)d')
def config_overrides(self):
super(XmlVersionTestCase, self).config_overrides()
port = random.randint(10000, 30000)
self.config_fixture.config(public_port=port, admin_port=port)
def test_public_versions(self):
client = self.client(self.public_app)
resp = client.get('/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 300)
data = resp.body
expected = self.VERSIONS_RESPONSE % dict(port=CONF.public_port)
self.assertThat(data, matchers.XMLEquals(expected))
def test_admin_versions(self):
client = self.client(self.admin_app)
resp = client.get('/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 300)
data = resp.body
expected = self.VERSIONS_RESPONSE % dict(port=CONF.admin_port)
self.assertThat(data, matchers.XMLEquals(expected))
def test_use_site_url_if_endpoint_unset(self):
client = self.client(self.public_app)
resp = client.get('/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 300)
data = resp.body
expected = self.VERSIONS_RESPONSE % dict(port=CONF.public_port)
self.assertThat(data, matchers.XMLEquals(expected))
def test_public_version_v2(self):
client = self.client(self.public_app)
resp = client.get('/v2.0/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 200)
data = resp.body
expected = self.v2_VERSION_RESPONSE % dict(port=CONF.public_port)
self.assertThat(data, matchers.XMLEquals(expected))
def test_admin_version_v2(self):
client = self.client(self.admin_app)
resp = client.get('/v2.0/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 200)
data = resp.body
expected = self.v2_VERSION_RESPONSE % dict(port=CONF.admin_port)
self.assertThat(data, matchers.XMLEquals(expected))
def test_public_version_v3(self):
client = self.client(self.public_app)
resp = client.get('/v3/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 200)
data = resp.body
expected = self.v3_VERSION_RESPONSE % dict(port=CONF.public_port)
self.assertThat(data, matchers.XMLEquals(expected))
def test_admin_version_v3(self):
client = self.client(self.public_app)
resp = client.get('/v3/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 200)
data = resp.body
expected = self.v3_VERSION_RESPONSE % dict(port=CONF.admin_port)
self.assertThat(data, matchers.XMLEquals(expected))
@mock.patch.object(controllers, '_VERSIONS', ['v3'])
def test_v2_disabled(self):
client = self.client(self.public_app)
# request to /v3 should pass
resp = client.get('/v3/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 200)
data = resp.body
expected = self.v3_VERSION_RESPONSE % dict(port=CONF.public_port)
self.assertThat(data, matchers.XMLEquals(expected))
# only v3 information should be displayed by requests to /
v3_only_response = ((self.DOC_INTRO + '<versions %(namespace)s>' +
self.v3_VERSION_DATA + '</versions>') %
dict(namespace=self.XML_NAMESPACE_ATTR,
v3_namespace='') %
dict(port=CONF.public_port))
resp = client.get('/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 300)
data = resp.body
self.assertThat(data, matchers.XMLEquals(v3_only_response))
@mock.patch.object(controllers, '_VERSIONS', ['v2.0'])
def test_v3_disabled(self):
client = self.client(self.public_app)
# request to /v2.0 should pass
resp = client.get('/v2.0/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 200)
data = resp.body
expected = self.v2_VERSION_RESPONSE % dict(port=CONF.public_port)
self.assertThat(data, matchers.XMLEquals(expected))
# only v2 information should be displayed by requests to /
v2_only_response = ((self.DOC_INTRO + '<versions %(namespace)s>' +
self.v2_VERSION_DATA + '</versions>') %
dict(namespace=self.XML_NAMESPACE_ATTR,
v2_namespace='') %
dict(port=CONF.public_port))
resp = client.get('/', headers=self.REQUEST_HEADERS)
self.assertEqual(resp.status_int, 300)
data = resp.body
self.assertThat(data, matchers.XMLEquals(v2_only_response))
| 36.701903 | 78 | 0.609332 | 2,039 | 17,360 | 5.003433 | 0.091712 | 0.057342 | 0.046658 | 0.063713 | 0.846599 | 0.8317 | 0.816605 | 0.809351 | 0.78661 | 0.763086 | 0 | 0.027132 | 0.261175 | 17,360 | 472 | 79 | 36.779661 | 0.768283 | 0.062154 | 0 | 0.680519 | 0 | 0.005195 | 0.165877 | 0.02498 | 0 | 0 | 0 | 0 | 0.12987 | 1 | 0.064935 | false | 0 | 0.018182 | 0 | 0.111688 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
76de3bf058b690b9b7f92aba0d18bca85e69cb1c | 2,058 | py | Python | tests/unit/test_departures.py | madpilot/pyptv3 | f4c6b257d84ccebc0e3a217f5f7aa99257e4a39a | [
"MIT"
] | 2 | 2019-02-24T03:40:35.000Z | 2019-09-09T00:05:27.000Z | tests/unit/test_departures.py | madpilot/pyptv3 | f4c6b257d84ccebc0e3a217f5f7aa99257e4a39a | [
"MIT"
] | 2 | 2019-06-15T11:41:24.000Z | 2021-06-01T22:30:12.000Z | tests/unit/test_departures.py | madpilot/pyptv3 | f4c6b257d84ccebc0e3a217f5f7aa99257e4a39a | [
"MIT"
] | null | null | null | import pytest
from mock import Mock
from pyptv3 import Departures, DeparturesResponse
class TestDepartures:
@pytest.fixture(scope="module")
def client(self):
client = Mock()
client.get.return_value = {"departures": [], "stops": {}, "routes": {}, "runs": {}, "directions": {}, "disruptions": {}, "status": {"version": "3.0", "health": 1}}
return client
def test_all(self, client):
assert Departures(client, 0, 1341).all().__class__ == DeparturesResponse
client.get.assert_called_with("/departures/route_type/0/stop/1341", [])
def test_all_with_kwargs(self, client):
Departures(client, 0, 1341).all(platform_numbers=[0, 1], direction_id=1, look_backwards=False, gtfs=123, date_utc="2018-06-28T07:00:00Z", max_results=10, include_cancelled=True, expand=["stop", "route"]).__class__ == DeparturesResponse
client.get.assert_called_with("/departures/route_type/0/stop/1341", [("platform_numbers", 0), ("platform_numbers", 1), ("direction_id", 1), ("look_backwards", "false"), ("gtfs", 123), ("date_utc", "2018-06-28T07:00:00Z"), ("max_results", 10), ("include_cancelled", "true"), ("expand", "stop"), ("expand", "route")])
def test_by_route(self, client):
assert Departures(client, 0, 1341).by_route(4122).__class__ == DeparturesResponse
client.get.assert_called_with("/departures/route_type/0/stop/1341/route/4122", [])
def test_by_route_with_kwargs(self, client):
assert Departures(client, 0, 1341).by_route(4122, platform_numbers=[0, 1], direction_id=1, look_backwards=False, gtfs=123, date_utc="2018-06-28T07:00:00Z", max_results=10, include_cancelled=True, expand=["stop", "route"]).__class__ == DeparturesResponse
client.get.assert_called_with("/departures/route_type/0/stop/1341/route/4122", [("platform_numbers", 0), ("platform_numbers", 1), ("direction_id", 1), ("look_backwards", "false"), ("gtfs", 123), ("date_utc", "2018-06-28T07:00:00Z"), ("max_results", 10), ("include_cancelled", "true"), ("expand", "stop"), ("expand", "route")])
| 76.222222 | 334 | 0.682702 | 267 | 2,058 | 5.011236 | 0.2397 | 0.067265 | 0.050822 | 0.06278 | 0.762332 | 0.742152 | 0.742152 | 0.714499 | 0.714499 | 0.714499 | 0 | 0.082177 | 0.124879 | 2,058 | 26 | 335 | 79.153846 | 0.660744 | 0 | 0 | 0 | 0 | 0 | 0.284742 | 0.076774 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.238095 | false | 0 | 0.142857 | 0 | 0.47619 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
76e4411ca12f383b16242c4adfdecc17bdfa9a38 | 79 | py | Python | mmaction/models/diffdist/__init__.py | weiyx16/Video-Swin-Transformer | 69212cfd2ccaf889063217bec457ecef9e4b5a3f | [
"Apache-2.0"
] | 1 | 2021-11-14T15:03:22.000Z | 2021-11-14T15:03:22.000Z | mmaction/models/diffdist/__init__.py | weiyx16/Video-Swin-Transformer | 69212cfd2ccaf889063217bec457ecef9e4b5a3f | [
"Apache-2.0"
] | null | null | null | mmaction/models/diffdist/__init__.py | weiyx16/Video-Swin-Transformer | 69212cfd2ccaf889063217bec457ecef9e4b5a3f | [
"Apache-2.0"
] | null | null | null | from . import extra_collectives
from . import functional
from . import modules
| 19.75 | 31 | 0.810127 | 10 | 79 | 6.3 | 0.6 | 0.47619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151899 | 79 | 3 | 32 | 26.333333 | 0.940299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0a2b290341cda371d76f0b2112e608cd6932c43b | 1,534 | py | Python | update_styleguides.py | MankiBusiness/react-dropzone-uploader | f24adbbbc8c25d599db65b887cf6c730383b3676 | [
"MIT"
] | 363 | 2018-10-21T00:41:38.000Z | 2022-03-27T11:07:20.000Z | update_styleguides.py | MankiBusiness/react-dropzone-uploader | f24adbbbc8c25d599db65b887cf6c730383b3676 | [
"MIT"
] | 139 | 2018-12-10T16:01:29.000Z | 2022-03-30T21:00:58.000Z | update_styleguides.py | MankiBusiness/react-dropzone-uploader | f24adbbbc8c25d599db65b887cf6c730383b3676 | [
"MIT"
] | 159 | 2019-01-29T01:19:13.000Z | 2022-03-09T02:12:14.000Z | import os
print('\nupdate styleguides')
with open('docs/quick-start.md', 'r') as infile:
lines = infile.readlines()
with open('docs/quick-start.md', 'w') as f:
for line in lines:
if not line.startswith('<script'):
f.write(line)
for file in os.listdir('docs/assets/styleguide-quickstart/build'):
if file.startswith('bundle') and file.endswith('.js'):
f.write(f'<script type="text/javascript" src="./assets/styleguide-quickstart/build/{file}" async="true"></script>\n')
path = f'docs/assets/styleguide-quickstart/build/{file}'
with open(path, 'r') as script:
text = script.read().replace('"build/"', '"assets/styleguide-quickstart/build/"')
with open(path, 'w') as script:
script.write(text)
with open('docs/examples.md', 'r') as infile:
lines = infile.readlines()
with open('docs/examples.md', 'w') as f:
for line in lines:
if not line.startswith('<script'):
f.write(line)
for file in os.listdir('docs/assets/styleguide/build'):
if file.startswith('bundle') and file.endswith('.js'):
f.write(f'<script type="text/javascript" src="./assets/styleguide/build/{file}" async="true"></script>\n')
path = f'docs/assets/styleguide/build/{file}'
with open(path, 'r') as script:
text = script.read().replace('"build/"', '"assets/styleguide/build/"')
with open(path, 'w') as script:
script.write(text)
| 43.828571 | 129 | 0.597784 | 199 | 1,534 | 4.60804 | 0.236181 | 0.069793 | 0.052345 | 0.135224 | 0.955289 | 0.892039 | 0.857143 | 0.857143 | 0.857143 | 0.857143 | 0 | 0 | 0.228162 | 1,534 | 34 | 130 | 45.117647 | 0.774493 | 0 | 0 | 0.533333 | 0 | 0.066667 | 0.362451 | 0.254237 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.033333 | 0 | 0.033333 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0a43c9a4da4ddda7e9d5acfe95a9bc1d114c552a | 5,511 | py | Python | instances/optimization/20210422-1717/inst-20210422-1717-c40-pas4e-1.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/optimization/20210422-1717/inst-20210422-1717-c40-pas4e-1.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/optimization/20210422-1717/inst-20210422-1717-c40-pas4e-1.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null |
"""
PERIODS
"""
numPeriods = 180
"""
STOPS
"""
numStations = 13
station_names = (
"Hamburg Hbf", # 0
"Landwehr", # 1
"Hasselbrook", # 2
"Wansbeker Chaussee*", # 3
"Friedrichsberg*", # 4
"Barmbek*", # 5
"Alte Woehr (Stadtpark)", # 6
"Ruebenkamp (City Nord)", # 7
"Ohlsdorf*", # 8
"Kornweg", # 9
"Hoheneichen", # 10
"Wellingsbuettel", # 11
"Poppenbuettel*", # 12
)
numStops = 26
stops_position = (
(0, 0), # Stop 0
(2, 0), # Stop 1
(3, 0), # Stop 2
(4, 0), # Stop 3
(5, 0), # Stop 4
(6, 0), # Stop 5
(7, 0), # Stop 6
(8, 0), # Stop 7
(9, 0), # Stop 8
(11, 0), # Stop 9
(13, 0), # Stop 10
(14, 0), # Stop 11
(15, 0), # Stop 12
(15, 1), # Stop 13
(15, 1), # Stop 14
(13, 1), # Stop 15
(12, 1), # Stop 16
(11, 1), # Stop 17
(10, 1), # Stop 18
(9, 1), # Stop 19
(8, 1), # Stop 20
(7, 1), # Stop 21
(6, 1), # Stop 22
(4, 1), # Stop 23
(2, 1), # Stop 24
(1, 1), # Stop 25
)
stops_distance = (
(0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 0
(0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 1
(0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 2
(0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 3
(0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 4
(0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 5
(0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 6
(0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 7
(0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 8
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 9
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 10
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 11
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 12
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 13
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 14
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 15
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 16
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0), # Stop 17
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0), # Stop 18
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0), # Stop 19
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0), # Stop 20
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0), # Stop 21
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0), # Stop 22
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0), # Stop 23
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2), # Stop 24
(1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 25
)
station_start = 0
"""
TRAMS
"""
numTrams = 18
tram_capacity = 514
tram_capacity_cargo = 304
tram_capacity_min_passenger = 208
tram_capacity_min_cargo = 0
tram_speed = 1
tram_headway = 1
tram_min_service = 1
tram_max_service = 10
min_time_next_tram = 0.333
tram_travel_deviation = 0.167
"""
PASSENGERS
"""
passenger_set = "pas-20210422-1717-int4e-1"
passenger_service_time_board = 0.0145
passenger_service_time_alight = 0.0145
"""
CARGO
"""
numCargo = 40
cargo_size = 4
cargo_station_destination = (
4, # 0
5, # 1
4, # 2
3, # 3
5, # 4
5, # 5
8, # 6
8, # 7
5, # 8
12, # 9
8, # 10
4, # 11
5, # 12
12, # 13
3, # 14
12, # 15
12, # 16
3, # 17
4, # 18
4, # 19
12, # 20
12, # 21
12, # 22
3, # 23
5, # 24
4, # 25
3, # 26
12, # 27
5, # 28
8, # 29
3, # 30
8, # 31
12, # 32
8, # 33
3, # 34
4, # 35
12, # 36
12, # 37
3, # 38
4, # 39
)
cargo_release = (
3, # 0
5, # 1
7, # 2
8, # 3
8, # 4
16, # 5
17, # 6
22, # 7
24, # 8
25, # 9
26, # 10
27, # 11
30, # 12
32, # 13
33, # 14
34, # 15
35, # 16
37, # 17
37, # 18
37, # 19
37, # 20
38, # 21
41, # 22
41, # 23
44, # 24
45, # 25
46, # 26
47, # 27
48, # 28
49, # 29
49, # 30
56, # 31
57, # 32
61, # 33
62, # 34
67, # 35
70, # 36
70, # 37
71, # 38
72, # 39
)
cargo_station_deadline = (
119, # 0
176, # 1
72, # 2
18, # 3
171, # 4
155, # 5
156, # 6
123, # 7
126, # 8
91, # 9
36, # 10
87, # 11
134, # 12
141, # 13
163, # 14
108, # 15
144, # 16
162, # 17
76, # 18
47, # 19
175, # 20
97, # 21
164, # 22
114, # 23
142, # 24
55, # 25
56, # 26
57, # 27
118, # 28
160, # 29
59, # 30
170, # 31
139, # 32
71, # 33
82, # 34
77, # 35
80, # 36
169, # 37
129, # 38
99, # 39
)
cargo_max_delay = 3
cargo_service_time_load = 0.3333333333333333
cargo_service_time_unload = 0.25
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 8991598675325360468762009371570610170
#index for seed sequence child
child_seed_index = (
0, # 0
)
| 19.542553 | 108 | 0.441118 | 1,244 | 5,511 | 1.916399 | 0.143891 | 0.505872 | 0.695889 | 0.848993 | 0.321309 | 0.319211 | 0.317534 | 0.315856 | 0.314178 | 0.3125 | 0 | 0.375034 | 0.324079 | 5,511 | 281 | 109 | 19.6121 | 0.264966 | 0.171112 | 0 | 0.294643 | 0 | 0 | 0.046916 | 0.005954 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.017857 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0a51c767811720f8ab6616aa1e529e479f227a0f | 21 | py | Python | pi3nn/Utils/__init__.py | liusiyan/PI3NN | 37d527e67107c2cb3722dd7e153a6822a5e32ae0 | [
"Apache-2.0"
] | 11 | 2021-11-08T20:38:50.000Z | 2022-01-30T02:46:39.000Z | BioClients/gwascatalog/__init__.py | jeremyjyang/BioClients | b78ab2b948c79616fed080112e31d383346bec58 | [
"CC0-1.0"
] | 1 | 2021-10-05T12:25:30.000Z | 2021-10-05T17:05:56.000Z | BioClients/brenda/__init__.py | jeremyjyang/BioClients | b78ab2b948c79616fed080112e31d383346bec58 | [
"CC0-1.0"
] | 2 | 2021-03-16T03:20:24.000Z | 2021-08-08T20:17:10.000Z | from .Utils import *
| 10.5 | 20 | 0.714286 | 3 | 21 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 21 | 1 | 21 | 21 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0a5a20458d3a7c5062934fe3c6594d913aad80d3 | 37 | py | Python | main/api/v2/__init__.py | kbariotis/excalidraw-json | 287967cf3af0ad51d3d358884e6ad07c0c06e2fe | [
"MIT"
] | 16 | 2020-01-18T02:54:31.000Z | 2021-11-07T02:40:23.000Z | main/api/v2/__init__.py | kbariotis/excalidraw-json | 287967cf3af0ad51d3d358884e6ad07c0c06e2fe | [
"MIT"
] | 128 | 2020-01-18T02:13:51.000Z | 2021-11-07T07:02:41.000Z | main/api/v2/__init__.py | kbariotis/excalidraw-json | 287967cf3af0ad51d3d358884e6ad07c0c06e2fe | [
"MIT"
] | 10 | 2020-02-11T20:58:16.000Z | 2021-11-03T23:34:23.000Z | # coding: utf-8
from .hash import *
| 9.25 | 19 | 0.648649 | 6 | 37 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0.216216 | 37 | 3 | 20 | 12.333333 | 0.793103 | 0.351351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6a5da2c6259c241bc1683f8923f602da825dd314 | 86 | py | Python | src/__init__.py | poctaviano/Handwriting-Model | 30311ea0f4cb6e7bc0114cf0b2a96dc915dd9795 | [
"MIT"
] | 7 | 2018-09-24T19:37:24.000Z | 2022-02-21T08:24:29.000Z | src/__init__.py | poctaviano/Handwriting-Model | 30311ea0f4cb6e7bc0114cf0b2a96dc915dd9795 | [
"MIT"
] | 1 | 2019-02-26T06:16:15.000Z | 2019-02-26T06:16:15.000Z | src/__init__.py | poctaviano/Handwriting-Model | 30311ea0f4cb6e7bc0114cf0b2a96dc915dd9795 | [
"MIT"
] | 2 | 2021-03-24T09:06:16.000Z | 2022-02-26T22:31:38.000Z | from src.utils import *
from src.trainer import Trainer
from src.tester import Tester
| 21.5 | 31 | 0.813953 | 14 | 86 | 5 | 0.428571 | 0.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139535 | 86 | 3 | 32 | 28.666667 | 0.945946 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6a6c0cea0310c3fc9d5d8eff122255f3728bc118 | 57,033 | py | Python | pyscf/solvent/_ddcosmo_tdscf_grad.py | QuESt-Calculator/pyscf | 0ed03633b699505c7278f1eb501342667d0aa910 | [
"Apache-2.0"
] | 501 | 2018-12-06T23:48:17.000Z | 2022-03-31T11:53:18.000Z | pyscf/solvent/_ddcosmo_tdscf_grad.py | QuESt-Calculator/pyscf | 0ed03633b699505c7278f1eb501342667d0aa910 | [
"Apache-2.0"
] | 710 | 2018-11-26T22:04:52.000Z | 2022-03-30T03:53:12.000Z | pyscf/solvent/_ddcosmo_tdscf_grad.py | QuESt-Calculator/pyscf | 0ed03633b699505c7278f1eb501342667d0aa910 | [
"Apache-2.0"
] | 273 | 2018-11-26T10:10:24.000Z | 2022-03-30T12:25:28.000Z | #!/usr/bin/env python
# Copyright 2020 The PySCF Developers. All Rights Reserved.
#
# 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.
#
# Author: Qiming Sun <osirpt.sun@gmail.com>
#
'''
ddCOSMO TDA, TDHF, TDDFT gradients
The implementaitons are based on modules
pyscf.grad.tdrhf
pyscf.grad.tdrks
pyscf.grad.tduhf
pyscf.grad.tduks
'''
from functools import reduce
import numpy
from pyscf import lib
from pyscf.lib import logger
from pyscf import gto
from pyscf import scf
from pyscf import dft
from pyscf import df
from pyscf.dft import numint
from pyscf.solvent import ddcosmo
from pyscf.solvent import ddcosmo_grad
from pyscf.solvent._attach_solvent import _Solvation
from pyscf.grad import rks as rks_grad
from pyscf.grad import tdrks as tdrks_grad
from pyscf.grad import tduks as tduks_grad
from pyscf.scf import cphf, ucphf
def make_grad_object(grad_method):
'''For grad_method in vacuum, add nuclear gradients of solvent pcmobj'''
# Zeroth order method object must be a solvation-enabled method
assert isinstance(grad_method.base, _Solvation)
if grad_method.base.with_solvent.frozen:
raise RuntimeError('Frozen solvent model is not avialbe for energy gradients')
grad_method_class = grad_method.__class__
class WithSolventGrad(grad_method_class):
def __init__(self, grad_method):
self.__dict__.update(grad_method.__dict__)
self.de_solvent = None
self.de_solute = None
self._keys = self._keys.union(['de_solvent', 'de_solute'])
def grad_elec(self, xy, singlet, atmlst=None):
if isinstance(self.base._scf, dft.uks.UKS):
return tduks_grad_elec(self, xy, atmlst, self.max_memory, self.verbose)
elif isinstance(self.base._scf, dft.rks.RKS):
return tdrks_grad_elec(self, xy, singlet, atmlst, self.max_memory, self.verbose)
elif isinstance(self.base._scf, scf.uhf.UHF):
return tduhf_grad_elec(self, xy, atmlst, self.max_memory, self.verbose)
elif isinstance(self.base._scf, scf.hf.RHF):
return tdrhf_grad_elec(self, xy, singlet, atmlst, self.max_memory, self.verbose)
# TODO: if moving to python3, change signature to
# def kernel(self, *args, dm=None, atmlst=None, **kwargs):
def kernel(self, *args, **kwargs):
dm = kwargs.pop('dm', None)
if dm is None:
dm = self.base._scf.make_rdm1(ao_repr=True)
self.de_solvent = ddcosmo_grad.kernel(self.base.with_solvent, dm)
self.de_solute = grad_method_class.kernel(self, *args, **kwargs)
self.de = self.de_solute + self.de_solvent
if self.verbose >= logger.NOTE:
logger.note(self, '--------------- %s (+%s) gradients ---------------',
self.base.__class__.__name__,
self.base.with_solvent.__class__.__name__)
self._write(self.mol, self.de, self.atmlst)
logger.note(self, '----------------------------------------------')
return self.de
def _finalize(self):
# disable _finalize. It is called in grad_method.kernel method
# where self.de was not yet initialized.
pass
return WithSolventGrad(grad_method)
def tdrhf_grad_elec(td_grad, x_y, singlet=True, atmlst=None,
max_memory=2000, verbose=logger.INFO):
'''
See also function pyscf.grad.tdrhf.grad_elec
'''
log = logger.new_logger(td_grad, verbose)
time0 = logger.process_clock(), logger.perf_counter()
mol = td_grad.mol
mf = td_grad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ>0).sum()
nvir = nmo - nocc
x, y = x_y
xpy = (x+y).reshape(nocc,nvir).T
xmy = (x-y).reshape(nocc,nvir).T
orbv = mo_coeff[:,nocc:]
orbo = mo_coeff[:,:nocc]
with_solvent = getattr(td_grad.base, 'with_solvent', mf.with_solvent)
dvv = numpy.einsum('ai,bi->ab', xpy, xpy) + numpy.einsum('ai,bi->ab', xmy, xmy)
doo =-numpy.einsum('ai,aj->ij', xpy, xpy) - numpy.einsum('ai,aj->ij', xmy, xmy)
dmxpy = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmxmy = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo+= reduce(numpy.dot, (orbv, dvv, orbv.T))
vj, vk = mf.get_jk(mol, (dmzoo, dmxpy+dmxpy.T, dmxmy-dmxmy.T), hermi=0)
if with_solvent.equilibrium_solvation:
vj[:2] += mf.with_solvent._B_dot_x((dmzoo, dmxpy+dmxpy.T))
else:
vj[0] += mf.with_solvent._B_dot_x(dmzoo)
veff0doo = vj[0] * 2 - vk[0]
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - vk[1]
else:
veff = -vk[1]
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:,nocc:], xpy) * 2
veff = -vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mom[nocc:,nocc:], xmy) * 2
with lib.temporary_env(mf.with_solvent, equilibrium_solvation=True):
# set singlet=None, generate function for CPHF type response kernel
vresp = mf.gen_response(singlet=None, hermi=1)
def fvind(x): # For singlet, closed shell ground state
dm = reduce(numpy.dot, (orbv, x.reshape(nvir,nocc)*2, orbo.T))
v1ao = vresp(dm+dm.T)
return reduce(numpy.dot, (orbv.T, v1ao, orbo)).ravel()
z1 = cphf.solve(fvind, mo_energy, mo_occ, wvo,
max_cycle=td_grad.cphf_max_cycle,
tol=td_grad.cphf_conv_tol)[0]
z1 = z1.reshape(nvir,nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
veff = vresp(z1ao+z1ao.T)
im0 = numpy.zeros((nmo,nmo))
im0[:nocc,:nocc] = reduce(numpy.dot, (orbo.T, veff0doo+veff, orbo))
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mop[nocc:,:nocc], xpy)
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,nocc:] = numpy.einsum('ci,ai->ac', veff0mop[nocc:,:nocc], xpy)
im0[nocc:,nocc:]+= numpy.einsum('ci,ai->ac', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,:nocc] = numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy)*2
im0[nocc:,:nocc]+= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy)*2
zeta = lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:,:nocc] = mo_energy[:nocc]
zeta[:nocc,nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo,nmo))
dm1[:nocc,:nocc] = doo
dm1[nocc:,nocc:] = dvv
dm1[nocc:,:nocc] = z1
dm1[:nocc,:nocc] += numpy.eye(nocc)*2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0+zeta*dm1, mo_coeff.T))
# Initialize hcore_deriv with the underlying SCF object because some
# extensions (e.g. QM/MM, solvent) modifies the SCF object only.
mf_grad = td_grad.base._scf.nuc_grad_method()
hcore_deriv = mf_grad.hcore_generator(mol)
s1 = mf_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
vj, vk = td_grad.get_jk(mol, (oo0, dmz1doo+dmz1doo.T, dmxpy+dmxpy.T,
dmxmy-dmxmy.T))
vj = vj.reshape(-1,3,nao,nao)
vk = vk.reshape(-1,3,nao,nao)
if singlet:
vhf1 = vj * 2 - vk
else:
vhf1 = numpy.vstack((vj[:2]*2-vk[:2], -vk[2:]))
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst),3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
# Ground state gradients
h1ao = hcore_deriv(ia)
h1ao[:,p0:p1] += vhf1[0,:,p0:p1]
h1ao[:,:,p0:p1] += vhf1[0,:,p0:p1].transpose(0,2,1)
# oo0*2 for doubly occupied orbitals
de[k] = numpy.einsum('xpq,pq->x', h1ao, oo0) * 2
de[k] += numpy.einsum('xpq,pq->x', h1ao, dmz1doo)
de[k] -= numpy.einsum('xpq,pq->x', s1[:,p0:p1], im0[p0:p1])
de[k] -= numpy.einsum('xqp,pq->x', s1[:,p0:p1], im0[:,p0:p1])
de[k] += numpy.einsum('xij,ij->x', vhf1[1,:,p0:p1], oo0[p0:p1])
de[k] += numpy.einsum('xij,ij->x', vhf1[2,:,p0:p1], dmxpy[p0:p1,:]) * 2
de[k] += numpy.einsum('xij,ij->x', vhf1[3,:,p0:p1], dmxmy[p0:p1,:]) * 2
de[k] += numpy.einsum('xji,ij->x', vhf1[2,:,p0:p1], dmxpy[:,p0:p1]) * 2
de[k] -= numpy.einsum('xji,ij->x', vhf1[3,:,p0:p1], dmxmy[:,p0:p1]) * 2
de += _grad_solvent(with_solvent, oo0*2, dmz1doo, dmxpy*2, singlet)
log.timer('TDHF nuclear gradients', *time0)
return de
def tdrks_grad_elec(td_grad, x_y, singlet=True, atmlst=None,
max_memory=2000, verbose=logger.INFO):
'''
See also function pyscf.grad.tdrks.grad_elec
'''
log = logger.new_logger(td_grad, verbose)
time0 = logger.process_clock(), logger.perf_counter()
mol = td_grad.mol
mf = td_grad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
nao, nmo = mo_coeff.shape
nocc = (mo_occ>0).sum()
nvir = nmo - nocc
with_solvent = getattr(td_grad.base, 'with_solvent', mf.with_solvent)
x, y = x_y
xpy = (x+y).reshape(nocc,nvir).T
xmy = (x-y).reshape(nocc,nvir).T
orbv = mo_coeff[:,nocc:]
orbo = mo_coeff[:,:nocc]
dvv = numpy.einsum('ai,bi->ab', xpy, xpy) + numpy.einsum('ai,bi->ab', xmy, xmy)
doo =-numpy.einsum('ai,aj->ij', xpy, xpy) - numpy.einsum('ai,aj->ij', xmy, xmy)
dmxpy = reduce(numpy.dot, (orbv, xpy, orbo.T))
dmxmy = reduce(numpy.dot, (orbv, xmy, orbo.T))
dmzoo = reduce(numpy.dot, (orbo, doo, orbo.T))
dmzoo+= reduce(numpy.dot, (orbv, dvv, orbv.T))
mem_now = lib.current_memory()[0]
max_memory = max(2000, td_grad.max_memory*.9-mem_now)
ni = mf._numint
ni.libxc.test_deriv_order(mf.xc, 3, raise_error=True)
omega, alpha, hyb = ni.rsh_and_hybrid_coeff(mf.xc, mol.spin)
# dm0 = mf.make_rdm1(mo_coeff, mo_occ), but it is not used when computing
# fxc since rho0 is passed to fxc function.
rho0, vxc, fxc = ni.cache_xc_kernel(mf.mol, mf.grids, mf.xc,
[mo_coeff]*2, [mo_occ*.5]*2, spin=1)
f1vo, f1oo, vxc1, k1ao = \
tdrks_grad._contract_xc_kernel(td_grad, mf.xc, dmxpy,
dmzoo, True, True, singlet, max_memory)
if abs(hyb) > 1e-10:
dm = (dmzoo, dmxpy+dmxpy.T, dmxmy-dmxmy.T)
vj, vk = mf.get_jk(mol, dm, hermi=0)
if with_solvent.equilibrium_solvation:
vj[:2] += mf.with_solvent._B_dot_x((dmzoo, dmxpy+dmxpy.T))
else:
vj[0] += mf.with_solvent._B_dot_x(dmzoo)
vk *= hyb
if abs(omega) > 1e-10:
vk += mf.get_k(mol, dm, hermi=0, omega=omega) * (alpha-hyb)
veff0doo = vj[0] * 2 - vk[0] + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 - vk[1] + f1vo[0] * 2
else:
veff = -vk[1] + f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:,nocc:], xpy) * 2
veff = -vk[2]
veff0mom = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mom[nocc:,nocc:], xmy) * 2
else:
vj = mf.get_j(mol, (dmzoo, dmxpy+dmxpy.T), hermi=1)
if with_solvent.equilibrium_solvation:
vj[:2] += mf.with_solvent._B_dot_x((dmzoo, dmxpy+dmxpy.T))
else:
vj[0] += mf.with_solvent._B_dot_x(dmzoo)
veff0doo = vj[0] * 2 + f1oo[0] + k1ao[0] * 2
wvo = reduce(numpy.dot, (orbv.T, veff0doo, orbo)) * 2
if singlet:
veff = vj[1] * 2 + f1vo[0] * 2
else:
veff = f1vo[0] * 2
veff0mop = reduce(numpy.dot, (mo_coeff.T, veff, mo_coeff))
wvo -= numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy) * 2
wvo += numpy.einsum('ac,ai->ci', veff0mop[nocc:,nocc:], xpy) * 2
veff0mom = numpy.zeros((nmo,nmo))
with lib.temporary_env(mf.with_solvent, equilibrium_solvation=True):
# set singlet=None, generate function for CPHF type response kernel
vresp = mf.gen_response(singlet=None, hermi=1)
def fvind(x):
dm = reduce(numpy.dot, (orbv, x.reshape(nvir,nocc)*2, orbo.T))
v1ao = vresp(dm+dm.T)
return reduce(numpy.dot, (orbv.T, v1ao, orbo)).ravel()
z1 = cphf.solve(fvind, mo_energy, mo_occ, wvo,
max_cycle=td_grad.cphf_max_cycle,
tol=td_grad.cphf_conv_tol)[0]
z1 = z1.reshape(nvir,nocc)
time1 = log.timer('Z-vector using CPHF solver', *time0)
z1ao = reduce(numpy.dot, (orbv, z1, orbo.T))
veff = vresp(z1ao+z1ao.T)
im0 = numpy.zeros((nmo,nmo))
im0[:nocc,:nocc] = reduce(numpy.dot, (orbo.T, veff0doo+veff, orbo))
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mop[nocc:,:nocc], xpy)
im0[:nocc,:nocc]+= numpy.einsum('ak,ai->ki', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,nocc:] = numpy.einsum('ci,ai->ac', veff0mop[nocc:,:nocc], xpy)
im0[nocc:,nocc:]+= numpy.einsum('ci,ai->ac', veff0mom[nocc:,:nocc], xmy)
im0[nocc:,:nocc] = numpy.einsum('ki,ai->ak', veff0mop[:nocc,:nocc], xpy)*2
im0[nocc:,:nocc]+= numpy.einsum('ki,ai->ak', veff0mom[:nocc,:nocc], xmy)*2
zeta = lib.direct_sum('i+j->ij', mo_energy, mo_energy) * .5
zeta[nocc:,:nocc] = mo_energy[:nocc]
zeta[:nocc,nocc:] = mo_energy[nocc:]
dm1 = numpy.zeros((nmo,nmo))
dm1[:nocc,:nocc] = doo
dm1[nocc:,nocc:] = dvv
dm1[nocc:,:nocc] = z1
dm1[:nocc,:nocc] += numpy.eye(nocc)*2 # for ground state
im0 = reduce(numpy.dot, (mo_coeff, im0+zeta*dm1, mo_coeff.T))
# Initialize hcore_deriv with the underlying SCF object because some
# extensions (e.g. QM/MM, solvent) modifies the SCF object only.
mf_grad = td_grad.base._scf.nuc_grad_method()
hcore_deriv = mf_grad.hcore_generator(mol)
s1 = mf_grad.get_ovlp(mol)
dmz1doo = z1ao + dmzoo
oo0 = reduce(numpy.dot, (orbo, orbo.T))
if abs(hyb) > 1e-10:
dm = (oo0, dmz1doo+dmz1doo.T, dmxpy+dmxpy.T, dmxmy-dmxmy.T)
vj, vk = td_grad.get_jk(mol, dm)
vk *= hyb
if abs(omega) > 1e-10:
with mol.with_range_coulomb(omega):
vk += td_grad.get_k(mol, dm) * (alpha-hyb)
vj = vj.reshape(-1,3,nao,nao)
vk = vk.reshape(-1,3,nao,nao)
if singlet:
veff1 = vj * 2 - vk
else:
veff1 = numpy.vstack((vj[:2]*2-vk[:2], -vk[2:]))
else:
vj = td_grad.get_j(mol, (oo0, dmz1doo+dmz1doo.T, dmxpy+dmxpy.T))
vj = vj.reshape(-1,3,nao,nao)
veff1 = numpy.zeros((4,3,nao,nao))
if singlet:
veff1[:3] = vj * 2
else:
veff1[:2] = vj[:2] * 2
fxcz1 = tdrks_grad._contract_xc_kernel(td_grad, mf.xc, z1ao, None,
False, False, True, max_memory)[0]
veff1[0] += vxc1[1:]
veff1[1] +=(f1oo[1:] + fxcz1[1:] + k1ao[1:]*2)*2 # *2 for dmz1doo+dmz1oo.T
veff1[2] += f1vo[1:] * 2
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst),3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
# Ground state gradients
h1ao = hcore_deriv(ia)
h1ao[:,p0:p1] += veff1[0,:,p0:p1]
h1ao[:,:,p0:p1] += veff1[0,:,p0:p1].transpose(0,2,1)
# oo0*2 for doubly occupied orbitals
e1 = numpy.einsum('xpq,pq->x', h1ao, oo0) * 2
e1 += numpy.einsum('xpq,pq->x', h1ao, dmz1doo)
e1 -= numpy.einsum('xpq,pq->x', s1[:,p0:p1], im0[p0:p1])
e1 -= numpy.einsum('xqp,pq->x', s1[:,p0:p1], im0[:,p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[1,:,p0:p1], oo0[p0:p1])
e1 += numpy.einsum('xij,ij->x', veff1[2,:,p0:p1], dmxpy[p0:p1,:]) * 2
e1 += numpy.einsum('xij,ij->x', veff1[3,:,p0:p1], dmxmy[p0:p1,:]) * 2
e1 += numpy.einsum('xji,ij->x', veff1[2,:,p0:p1], dmxpy[:,p0:p1]) * 2
e1 -= numpy.einsum('xji,ij->x', veff1[3,:,p0:p1], dmxmy[:,p0:p1]) * 2
de[k] = e1
de += _grad_solvent(with_solvent, oo0*2, dmz1doo, dmxpy*2, singlet)
log.timer('TDDFT nuclear gradients', *time0)
return de
def tduhf_grad_elec(td_grad, x_y, atmlst=None, max_memory=2000, verbose=logger.INFO):
'''
See also function pyscf.grad.tduhf.grad_elec
'''
log = logger.new_logger(td_grad, verbose)
time0 = logger.process_clock(), logger.perf_counter()
mol = td_grad.mol
mf = td_grad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
with_solvent = getattr(td_grad.base, 'with_solvent', mf.with_solvent)
occidxa = numpy.where(mo_occ[0]>0)[0]
occidxb = numpy.where(mo_occ[1]>0)[0]
viridxa = numpy.where(mo_occ[0]==0)[0]
viridxb = numpy.where(mo_occ[1]==0)[0]
nocca = len(occidxa)
noccb = len(occidxb)
nvira = len(viridxa)
nvirb = len(viridxb)
orboa = mo_coeff[0][:,occidxa]
orbob = mo_coeff[1][:,occidxb]
orbva = mo_coeff[0][:,viridxa]
orbvb = mo_coeff[1][:,viridxb]
nao = mo_coeff[0].shape[0]
nmoa = nocca + nvira
nmob = noccb + nvirb
(xa, xb), (ya, yb) = x_y
xpya = (xa+ya).reshape(nocca,nvira).T
xpyb = (xb+yb).reshape(noccb,nvirb).T
xmya = (xa-ya).reshape(nocca,nvira).T
xmyb = (xb-yb).reshape(noccb,nvirb).T
dvva = numpy.einsum('ai,bi->ab', xpya, xpya) + numpy.einsum('ai,bi->ab', xmya, xmya)
dvvb = numpy.einsum('ai,bi->ab', xpyb, xpyb) + numpy.einsum('ai,bi->ab', xmyb, xmyb)
dooa =-numpy.einsum('ai,aj->ij', xpya, xpya) - numpy.einsum('ai,aj->ij', xmya, xmya)
doob =-numpy.einsum('ai,aj->ij', xpyb, xpyb) - numpy.einsum('ai,aj->ij', xmyb, xmyb)
dmxpya = reduce(numpy.dot, (orbva, xpya, orboa.T))
dmxpyb = reduce(numpy.dot, (orbvb, xpyb, orbob.T))
dmxmya = reduce(numpy.dot, (orbva, xmya, orboa.T))
dmxmyb = reduce(numpy.dot, (orbvb, xmyb, orbob.T))
dmzooa = reduce(numpy.dot, (orboa, dooa, orboa.T))
dmzoob = reduce(numpy.dot, (orbob, doob, orbob.T))
dmzooa+= reduce(numpy.dot, (orbva, dvva, orbva.T))
dmzoob+= reduce(numpy.dot, (orbvb, dvvb, orbvb.T))
vj, vk = mf.get_jk(mol, (dmzooa, dmxpya+dmxpya.T, dmxmya-dmxmya.T,
dmzoob, dmxpyb+dmxpyb.T, dmxmyb-dmxmyb.T), hermi=0)
vj = vj.reshape(2,3,nao,nao)
vk = vk.reshape(2,3,nao,nao)
if with_solvent.equilibrium_solvation:
dmxpy = dmxpya + dmxpyb
vj[0,:2] += mf.with_solvent._B_dot_x((dmzooa+dmzoob, dmxpy+dmxpy.T))
else:
vj[0,0] += mf.with_solvent._B_dot_x(dmzooa+dmzoob)
veff0doo = vj[0,0]+vj[1,0] - vk[:,0]
wvoa = reduce(numpy.dot, (orbva.T, veff0doo[0], orboa)) * 2
wvob = reduce(numpy.dot, (orbvb.T, veff0doo[1], orbob)) * 2
veff = vj[0,1]+vj[1,1] - vk[:,1]
veff0mopa = reduce(numpy.dot, (mo_coeff[0].T, veff[0], mo_coeff[0]))
veff0mopb = reduce(numpy.dot, (mo_coeff[1].T, veff[1], mo_coeff[1]))
wvoa -= numpy.einsum('ki,ai->ak', veff0mopa[:nocca,:nocca], xpya) * 2
wvob -= numpy.einsum('ki,ai->ak', veff0mopb[:noccb,:noccb], xpyb) * 2
wvoa += numpy.einsum('ac,ai->ci', veff0mopa[nocca:,nocca:], xpya) * 2
wvob += numpy.einsum('ac,ai->ci', veff0mopb[noccb:,noccb:], xpyb) * 2
veff = -vk[:,2]
veff0moma = reduce(numpy.dot, (mo_coeff[0].T, veff[0], mo_coeff[0]))
veff0momb = reduce(numpy.dot, (mo_coeff[1].T, veff[1], mo_coeff[1]))
wvoa -= numpy.einsum('ki,ai->ak', veff0moma[:nocca,:nocca], xmya) * 2
wvob -= numpy.einsum('ki,ai->ak', veff0momb[:noccb,:noccb], xmyb) * 2
wvoa += numpy.einsum('ac,ai->ci', veff0moma[nocca:,nocca:], xmya) * 2
wvob += numpy.einsum('ac,ai->ci', veff0momb[noccb:,noccb:], xmyb) * 2
with lib.temporary_env(mf.with_solvent, equilibrium_solvation=True):
vresp = mf.gen_response(hermi=1)
def fvind(x):
dm1 = numpy.empty((2,nao,nao))
xa = x[0,:nvira*nocca].reshape(nvira,nocca)
xb = x[0,nvira*nocca:].reshape(nvirb,noccb)
dma = reduce(numpy.dot, (orbva, xa, orboa.T))
dmb = reduce(numpy.dot, (orbvb, xb, orbob.T))
dm1[0] = dma + dma.T
dm1[1] = dmb + dmb.T
v1 = vresp(dm1)
v1a = reduce(numpy.dot, (orbva.T, v1[0], orboa))
v1b = reduce(numpy.dot, (orbvb.T, v1[1], orbob))
return numpy.hstack((v1a.ravel(), v1b.ravel()))
z1a, z1b = ucphf.solve(fvind, mo_energy, mo_occ, (wvoa,wvob),
max_cycle=td_grad.cphf_max_cycle,
tol=td_grad.cphf_conv_tol)[0]
time1 = log.timer('Z-vector using UCPHF solver', *time0)
z1ao = numpy.empty((2,nao,nao))
z1ao[0] = reduce(numpy.dot, (orbva, z1a, orboa.T))
z1ao[1] = reduce(numpy.dot, (orbvb, z1b, orbob.T))
veff = vresp((z1ao+z1ao.transpose(0,2,1)) * .5)
im0a = numpy.zeros((nmoa,nmoa))
im0b = numpy.zeros((nmob,nmob))
im0a[:nocca,:nocca] = reduce(numpy.dot, (orboa.T, veff0doo[0]+veff[0], orboa)) * .5
im0b[:noccb,:noccb] = reduce(numpy.dot, (orbob.T, veff0doo[1]+veff[1], orbob)) * .5
im0a[:nocca,:nocca]+= numpy.einsum('ak,ai->ki', veff0mopa[nocca:,:nocca], xpya) * .5
im0b[:noccb,:noccb]+= numpy.einsum('ak,ai->ki', veff0mopb[noccb:,:noccb], xpyb) * .5
im0a[:nocca,:nocca]+= numpy.einsum('ak,ai->ki', veff0moma[nocca:,:nocca], xmya) * .5
im0b[:noccb,:noccb]+= numpy.einsum('ak,ai->ki', veff0momb[noccb:,:noccb], xmyb) * .5
im0a[nocca:,nocca:] = numpy.einsum('ci,ai->ac', veff0mopa[nocca:,:nocca], xpya) * .5
im0b[noccb:,noccb:] = numpy.einsum('ci,ai->ac', veff0mopb[noccb:,:noccb], xpyb) * .5
im0a[nocca:,nocca:]+= numpy.einsum('ci,ai->ac', veff0moma[nocca:,:nocca], xmya) * .5
im0b[noccb:,noccb:]+= numpy.einsum('ci,ai->ac', veff0momb[noccb:,:noccb], xmyb) * .5
im0a[nocca:,:nocca] = numpy.einsum('ki,ai->ak', veff0mopa[:nocca,:nocca], xpya)
im0b[noccb:,:noccb] = numpy.einsum('ki,ai->ak', veff0mopb[:noccb,:noccb], xpyb)
im0a[nocca:,:nocca]+= numpy.einsum('ki,ai->ak', veff0moma[:nocca,:nocca], xmya)
im0b[noccb:,:noccb]+= numpy.einsum('ki,ai->ak', veff0momb[:noccb,:noccb], xmyb)
zeta_a = (mo_energy[0][:,None] + mo_energy[0]) * .5
zeta_b = (mo_energy[1][:,None] + mo_energy[1]) * .5
zeta_a[nocca:,:nocca] = mo_energy[0][:nocca]
zeta_b[noccb:,:noccb] = mo_energy[1][:noccb]
zeta_a[:nocca,nocca:] = mo_energy[0][nocca:]
zeta_b[:noccb,noccb:] = mo_energy[1][noccb:]
dm1a = numpy.zeros((nmoa,nmoa))
dm1b = numpy.zeros((nmob,nmob))
dm1a[:nocca,:nocca] = dooa * .5
dm1b[:noccb,:noccb] = doob * .5
dm1a[nocca:,nocca:] = dvva * .5
dm1b[noccb:,noccb:] = dvvb * .5
dm1a[nocca:,:nocca] = z1a * .5
dm1b[noccb:,:noccb] = z1b * .5
dm1a[:nocca,:nocca] += numpy.eye(nocca) # for ground state
dm1b[:noccb,:noccb] += numpy.eye(noccb)
im0a = reduce(numpy.dot, (mo_coeff[0], im0a+zeta_a*dm1a, mo_coeff[0].T))
im0b = reduce(numpy.dot, (mo_coeff[1], im0b+zeta_b*dm1b, mo_coeff[1].T))
im0 = im0a + im0b
# Initialize hcore_deriv with the underlying SCF object because some
# extensions (e.g. QM/MM, solvent) modifies the SCF object only.
mf_grad = td_grad.base._scf.nuc_grad_method()
hcore_deriv = mf_grad.hcore_generator(mol)
s1 = mf_grad.get_ovlp(mol)
dmz1dooa = z1ao[0] + dmzooa
dmz1doob = z1ao[1] + dmzoob
oo0a = reduce(numpy.dot, (orboa, orboa.T))
oo0b = reduce(numpy.dot, (orbob, orbob.T))
as_dm1 = oo0a + oo0b + (dmz1dooa + dmz1doob) * .5
vj, vk = td_grad.get_jk(mol, (oo0a, dmz1dooa+dmz1dooa.T, dmxpya+dmxpya.T, dmxmya-dmxmya.T,
oo0b, dmz1doob+dmz1doob.T, dmxpyb+dmxpyb.T, dmxmyb-dmxmyb.T))
vj = vj.reshape(2,4,3,nao,nao)
vk = vk.reshape(2,4,3,nao,nao)
vhf1a, vhf1b = vj[0] + vj[1] - vk
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst),3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
# Ground state gradients
h1ao = hcore_deriv(ia)
de[k] = numpy.einsum('xpq,pq->x', h1ao, as_dm1)
de[k] += numpy.einsum('xpq,pq->x', vhf1a[0,:,p0:p1], oo0a[p0:p1])
de[k] += numpy.einsum('xpq,pq->x', vhf1b[0,:,p0:p1], oo0b[p0:p1])
de[k] += numpy.einsum('xpq,qp->x', vhf1a[0,:,p0:p1], oo0a[:,p0:p1])
de[k] += numpy.einsum('xpq,qp->x', vhf1b[0,:,p0:p1], oo0b[:,p0:p1])
de[k] += numpy.einsum('xpq,pq->x', vhf1a[0,:,p0:p1], dmz1dooa[p0:p1]) * .5
de[k] += numpy.einsum('xpq,pq->x', vhf1b[0,:,p0:p1], dmz1doob[p0:p1]) * .5
de[k] += numpy.einsum('xpq,qp->x', vhf1a[0,:,p0:p1], dmz1dooa[:,p0:p1]) * .5
de[k] += numpy.einsum('xpq,qp->x', vhf1b[0,:,p0:p1], dmz1doob[:,p0:p1]) * .5
de[k] -= numpy.einsum('xpq,pq->x', s1[:,p0:p1], im0[p0:p1])
de[k] -= numpy.einsum('xqp,pq->x', s1[:,p0:p1], im0[:,p0:p1])
de[k] += numpy.einsum('xij,ij->x', vhf1a[1,:,p0:p1], oo0a[p0:p1]) * .5
de[k] += numpy.einsum('xij,ij->x', vhf1b[1,:,p0:p1], oo0b[p0:p1]) * .5
de[k] += numpy.einsum('xij,ij->x', vhf1a[2,:,p0:p1], dmxpya[p0:p1,:])
de[k] += numpy.einsum('xij,ij->x', vhf1b[2,:,p0:p1], dmxpyb[p0:p1,:])
de[k] += numpy.einsum('xij,ij->x', vhf1a[3,:,p0:p1], dmxmya[p0:p1,:])
de[k] += numpy.einsum('xij,ij->x', vhf1b[3,:,p0:p1], dmxmyb[p0:p1,:])
de[k] += numpy.einsum('xji,ij->x', vhf1a[2,:,p0:p1], dmxpya[:,p0:p1])
de[k] += numpy.einsum('xji,ij->x', vhf1b[2,:,p0:p1], dmxpyb[:,p0:p1])
de[k] -= numpy.einsum('xji,ij->x', vhf1a[3,:,p0:p1], dmxmya[:,p0:p1])
de[k] -= numpy.einsum('xji,ij->x', vhf1b[3,:,p0:p1], dmxmyb[:,p0:p1])
dm0 = oo0a + oo0b
dmz1doo = (dmz1dooa + dmz1doob) * .5
dmxpy = dmxpya + dmxpyb
de += _grad_solvent(with_solvent, dm0, dmz1doo, dmxpy)
log.timer('TDUHF nuclear gradients', *time0)
return de
def tduks_grad_elec(td_grad, x_y, atmlst=None, max_memory=2000, verbose=logger.INFO):
'''
See also function pyscf.grad.tduks.grad_elec
'''
log = logger.new_logger(td_grad, verbose)
time0 = logger.process_clock(), logger.perf_counter()
mol = td_grad.mol
mf = td_grad.base._scf
mo_coeff = mf.mo_coeff
mo_energy = mf.mo_energy
mo_occ = mf.mo_occ
with_solvent = getattr(td_grad.base, 'with_solvent', mf.with_solvent)
occidxa = numpy.where(mo_occ[0]>0)[0]
occidxb = numpy.where(mo_occ[1]>0)[0]
viridxa = numpy.where(mo_occ[0]==0)[0]
viridxb = numpy.where(mo_occ[1]==0)[0]
nocca = len(occidxa)
noccb = len(occidxb)
nvira = len(viridxa)
nvirb = len(viridxb)
orboa = mo_coeff[0][:,occidxa]
orbob = mo_coeff[1][:,occidxb]
orbva = mo_coeff[0][:,viridxa]
orbvb = mo_coeff[1][:,viridxb]
nao = mo_coeff[0].shape[0]
nmoa = nocca + nvira
nmob = noccb + nvirb
(xa, xb), (ya, yb) = x_y
xpya = (xa+ya).reshape(nocca,nvira).T
xpyb = (xb+yb).reshape(noccb,nvirb).T
xmya = (xa-ya).reshape(nocca,nvira).T
xmyb = (xb-yb).reshape(noccb,nvirb).T
dvva = numpy.einsum('ai,bi->ab', xpya, xpya) + numpy.einsum('ai,bi->ab', xmya, xmya)
dvvb = numpy.einsum('ai,bi->ab', xpyb, xpyb) + numpy.einsum('ai,bi->ab', xmyb, xmyb)
dooa =-numpy.einsum('ai,aj->ij', xpya, xpya) - numpy.einsum('ai,aj->ij', xmya, xmya)
doob =-numpy.einsum('ai,aj->ij', xpyb, xpyb) - numpy.einsum('ai,aj->ij', xmyb, xmyb)
dmxpya = reduce(numpy.dot, (orbva, xpya, orboa.T))
dmxpyb = reduce(numpy.dot, (orbvb, xpyb, orbob.T))
dmxmya = reduce(numpy.dot, (orbva, xmya, orboa.T))
dmxmyb = reduce(numpy.dot, (orbvb, xmyb, orbob.T))
dmzooa = reduce(numpy.dot, (orboa, dooa, orboa.T))
dmzoob = reduce(numpy.dot, (orbob, doob, orbob.T))
dmzooa+= reduce(numpy.dot, (orbva, dvva, orbva.T))
dmzoob+= reduce(numpy.dot, (orbvb, dvvb, orbvb.T))
ni = mf._numint
ni.libxc.test_deriv_order(mf.xc, 3, raise_error=True)
omega, alpha, hyb = ni.rsh_and_hybrid_coeff(mf.xc, mol.spin)
# dm0 = mf.make_rdm1(mo_coeff, mo_occ), but it is not used when computing
# fxc since rho0 is passed to fxc function.
dm0 = None
rho0, vxc, fxc = ni.cache_xc_kernel(mf.mol, mf.grids, mf.xc,
mo_coeff, mo_occ, spin=1)
f1vo, f1oo, vxc1, k1ao = \
tduks_grad._contract_xc_kernel(td_grad, mf.xc, (dmxpya,dmxpyb),
(dmzooa,dmzoob), True, True, max_memory)
if abs(hyb) > 1e-10:
dm = (dmzooa, dmxpya+dmxpya.T, dmxmya-dmxmya.T,
dmzoob, dmxpyb+dmxpyb.T, dmxmyb-dmxmyb.T)
vj, vk = mf.get_jk(mol, dm, hermi=0)
vk *= hyb
if abs(omega) > 1e-10:
vk += mf.get_k(mol, dm, hermi=0, omega=omega) * (alpha-hyb)
vj = vj.reshape(2,3,nao,nao)
vk = vk.reshape(2,3,nao,nao)
if with_solvent.equilibrium_solvation:
dmxpy = dmxpya + dmxpyb
vj[0,:2] += mf.with_solvent._B_dot_x((dmzooa+dmzoob, dmxpy+dmxpy.T))
else:
vj[0,0] += mf.with_solvent._B_dot_x(dmzooa+dmzoob)
veff0doo = vj[0,0]+vj[1,0] - vk[:,0] + f1oo[:,0] + k1ao[:,0] * 2
wvoa = reduce(numpy.dot, (orbva.T, veff0doo[0], orboa)) * 2
wvob = reduce(numpy.dot, (orbvb.T, veff0doo[1], orbob)) * 2
veff = vj[0,1]+vj[1,1] - vk[:,1] + f1vo[:,0] * 2
veff0mopa = reduce(numpy.dot, (mo_coeff[0].T, veff[0], mo_coeff[0]))
veff0mopb = reduce(numpy.dot, (mo_coeff[1].T, veff[1], mo_coeff[1]))
wvoa -= numpy.einsum('ki,ai->ak', veff0mopa[:nocca,:nocca], xpya) * 2
wvob -= numpy.einsum('ki,ai->ak', veff0mopb[:noccb,:noccb], xpyb) * 2
wvoa += numpy.einsum('ac,ai->ci', veff0mopa[nocca:,nocca:], xpya) * 2
wvob += numpy.einsum('ac,ai->ci', veff0mopb[noccb:,noccb:], xpyb) * 2
veff = -vk[:,2]
veff0moma = reduce(numpy.dot, (mo_coeff[0].T, veff[0], mo_coeff[0]))
veff0momb = reduce(numpy.dot, (mo_coeff[1].T, veff[1], mo_coeff[1]))
wvoa -= numpy.einsum('ki,ai->ak', veff0moma[:nocca,:nocca], xmya) * 2
wvob -= numpy.einsum('ki,ai->ak', veff0momb[:noccb,:noccb], xmyb) * 2
wvoa += numpy.einsum('ac,ai->ci', veff0moma[nocca:,nocca:], xmya) * 2
wvob += numpy.einsum('ac,ai->ci', veff0momb[noccb:,noccb:], xmyb) * 2
else:
dm = (dmzooa, dmxpya+dmxpya.T,
dmzoob, dmxpyb+dmxpyb.T)
vj = mf.get_j(mol, dm, hermi=1).reshape(2,2,nao,nao)
if with_solvent.equilibrium_solvation:
dmxpy = dmxpya + dmxpyb
vj[0,:2] += mf.with_solvent._B_dot_x((dmzooa+dmzoob, dmxpy+dmxpy.T))
else:
vj[0,0] += mf.with_solvent._B_dot_x(dmzooa+dmzoob)
veff0doo = vj[0,0]+vj[1,0] + f1oo[:,0] + k1ao[:,0] * 2
wvoa = reduce(numpy.dot, (orbva.T, veff0doo[0], orboa)) * 2
wvob = reduce(numpy.dot, (orbvb.T, veff0doo[1], orbob)) * 2
veff = vj[0,1]+vj[1,1] + f1vo[:,0] * 2
veff0mopa = reduce(numpy.dot, (mo_coeff[0].T, veff[0], mo_coeff[0]))
veff0mopb = reduce(numpy.dot, (mo_coeff[1].T, veff[1], mo_coeff[1]))
wvoa -= numpy.einsum('ki,ai->ak', veff0mopa[:nocca,:nocca], xpya) * 2
wvob -= numpy.einsum('ki,ai->ak', veff0mopb[:noccb,:noccb], xpyb) * 2
wvoa += numpy.einsum('ac,ai->ci', veff0mopa[nocca:,nocca:], xpya) * 2
wvob += numpy.einsum('ac,ai->ci', veff0mopb[noccb:,noccb:], xpyb) * 2
veff0moma = numpy.zeros((nmoa,nmoa))
veff0momb = numpy.zeros((nmob,nmob))
with lib.temporary_env(mf.with_solvent, equilibrium_solvation=True):
vresp = mf.gen_response(hermi=1)
def fvind(x):
dm1 = numpy.empty((2,nao,nao))
xa = x[0,:nvira*nocca].reshape(nvira,nocca)
xb = x[0,nvira*nocca:].reshape(nvirb,noccb)
dma = reduce(numpy.dot, (orbva, xa, orboa.T))
dmb = reduce(numpy.dot, (orbvb, xb, orbob.T))
dm1[0] = dma + dma.T
dm1[1] = dmb + dmb.T
v1 = vresp(dm1)
v1a = reduce(numpy.dot, (orbva.T, v1[0], orboa))
v1b = reduce(numpy.dot, (orbvb.T, v1[1], orbob))
return numpy.hstack((v1a.ravel(), v1b.ravel()))
z1a, z1b = ucphf.solve(fvind, mo_energy, mo_occ, (wvoa,wvob),
max_cycle=td_grad.cphf_max_cycle,
tol=td_grad.cphf_conv_tol)[0]
time1 = log.timer('Z-vector using UCPHF solver', *time0)
z1ao = numpy.empty((2,nao,nao))
z1ao[0] = reduce(numpy.dot, (orbva, z1a, orboa.T))
z1ao[1] = reduce(numpy.dot, (orbvb, z1b, orbob.T))
veff = vresp((z1ao+z1ao.transpose(0,2,1)) * .5)
im0a = numpy.zeros((nmoa,nmoa))
im0b = numpy.zeros((nmob,nmob))
im0a[:nocca,:nocca] = reduce(numpy.dot, (orboa.T, veff0doo[0]+veff[0], orboa)) * .5
im0b[:noccb,:noccb] = reduce(numpy.dot, (orbob.T, veff0doo[1]+veff[1], orbob)) * .5
im0a[:nocca,:nocca]+= numpy.einsum('ak,ai->ki', veff0mopa[nocca:,:nocca], xpya) * .5
im0b[:noccb,:noccb]+= numpy.einsum('ak,ai->ki', veff0mopb[noccb:,:noccb], xpyb) * .5
im0a[:nocca,:nocca]+= numpy.einsum('ak,ai->ki', veff0moma[nocca:,:nocca], xmya) * .5
im0b[:noccb,:noccb]+= numpy.einsum('ak,ai->ki', veff0momb[noccb:,:noccb], xmyb) * .5
im0a[nocca:,nocca:] = numpy.einsum('ci,ai->ac', veff0mopa[nocca:,:nocca], xpya) * .5
im0b[noccb:,noccb:] = numpy.einsum('ci,ai->ac', veff0mopb[noccb:,:noccb], xpyb) * .5
im0a[nocca:,nocca:]+= numpy.einsum('ci,ai->ac', veff0moma[nocca:,:nocca], xmya) * .5
im0b[noccb:,noccb:]+= numpy.einsum('ci,ai->ac', veff0momb[noccb:,:noccb], xmyb) * .5
im0a[nocca:,:nocca] = numpy.einsum('ki,ai->ak', veff0mopa[:nocca,:nocca], xpya)
im0b[noccb:,:noccb] = numpy.einsum('ki,ai->ak', veff0mopb[:noccb,:noccb], xpyb)
im0a[nocca:,:nocca]+= numpy.einsum('ki,ai->ak', veff0moma[:nocca,:nocca], xmya)
im0b[noccb:,:noccb]+= numpy.einsum('ki,ai->ak', veff0momb[:noccb,:noccb], xmyb)
zeta_a = (mo_energy[0][:,None] + mo_energy[0]) * .5
zeta_b = (mo_energy[1][:,None] + mo_energy[1]) * .5
zeta_a[nocca:,:nocca] = mo_energy[0][:nocca]
zeta_b[noccb:,:noccb] = mo_energy[1][:noccb]
zeta_a[:nocca,nocca:] = mo_energy[0][nocca:]
zeta_b[:noccb,noccb:] = mo_energy[1][noccb:]
dm1a = numpy.zeros((nmoa,nmoa))
dm1b = numpy.zeros((nmob,nmob))
dm1a[:nocca,:nocca] = dooa * .5
dm1b[:noccb,:noccb] = doob * .5
dm1a[nocca:,nocca:] = dvva * .5
dm1b[noccb:,noccb:] = dvvb * .5
dm1a[nocca:,:nocca] = z1a * .5
dm1b[noccb:,:noccb] = z1b * .5
dm1a[:nocca,:nocca] += numpy.eye(nocca) # for ground state
dm1b[:noccb,:noccb] += numpy.eye(noccb)
im0a = reduce(numpy.dot, (mo_coeff[0], im0a+zeta_a*dm1a, mo_coeff[0].T))
im0b = reduce(numpy.dot, (mo_coeff[1], im0b+zeta_b*dm1b, mo_coeff[1].T))
im0 = im0a + im0b
# Initialize hcore_deriv with the underlying SCF object because some
# extensions (e.g. QM/MM, solvent) modifies the SCF object only.
mf_grad = td_grad.base._scf.nuc_grad_method()
hcore_deriv = mf_grad.hcore_generator(mol)
s1 = mf_grad.get_ovlp(mol)
dmz1dooa = z1ao[0] + dmzooa
dmz1doob = z1ao[1] + dmzoob
oo0a = reduce(numpy.dot, (orboa, orboa.T))
oo0b = reduce(numpy.dot, (orbob, orbob.T))
as_dm1 = oo0a + oo0b + (dmz1dooa + dmz1doob) * .5
if abs(hyb) > 1e-10:
dm = (oo0a, dmz1dooa+dmz1dooa.T, dmxpya+dmxpya.T, dmxmya-dmxmya.T,
oo0b, dmz1doob+dmz1doob.T, dmxpyb+dmxpyb.T, dmxmyb-dmxmyb.T)
vj, vk = td_grad.get_jk(mol, dm)
vj = vj.reshape(2,4,3,nao,nao)
vk = vk.reshape(2,4,3,nao,nao) * hyb
if abs(omega) > 1e-10:
with mol.with_range_coulomb(omega):
vk += td_grad.get_k(mol, dm).reshape(2,4,3,nao,nao) * (alpha-hyb)
veff1 = vj[0] + vj[1] - vk
else:
dm = (oo0a, dmz1dooa+dmz1dooa.T, dmxpya+dmxpya.T,
oo0b, dmz1doob+dmz1doob.T, dmxpyb+dmxpyb.T)
vj = td_grad.get_j(mol, dm).reshape(2,3,3,nao,nao)
veff1 = numpy.zeros((2,4,3,nao,nao))
veff1[:,:3] = vj[0] + vj[1]
fxcz1 = tduks_grad._contract_xc_kernel(td_grad, mf.xc, z1ao, None,
False, False, max_memory)[0]
veff1[:,0] += vxc1[:,1:]
veff1[:,1] +=(f1oo[:,1:] + fxcz1[:,1:] + k1ao[:,1:]*2)*2 # *2 for dmz1doo+dmz1oo.T
veff1[:,2] += f1vo[:,1:] * 2
veff1a, veff1b = veff1
time1 = log.timer('2e AO integral derivatives', *time1)
if atmlst is None:
atmlst = range(mol.natm)
offsetdic = mol.offset_nr_by_atom()
de = numpy.zeros((len(atmlst),3))
for k, ia in enumerate(atmlst):
shl0, shl1, p0, p1 = offsetdic[ia]
# Ground state gradients
h1ao = hcore_deriv(ia)
de[k] = numpy.einsum('xpq,pq->x', h1ao, as_dm1)
de[k] += numpy.einsum('xpq,pq->x', veff1a[0,:,p0:p1], oo0a[p0:p1])
de[k] += numpy.einsum('xpq,pq->x', veff1b[0,:,p0:p1], oo0b[p0:p1])
de[k] += numpy.einsum('xpq,qp->x', veff1a[0,:,p0:p1], oo0a[:,p0:p1])
de[k] += numpy.einsum('xpq,qp->x', veff1b[0,:,p0:p1], oo0b[:,p0:p1])
de[k] += numpy.einsum('xpq,pq->x', veff1a[0,:,p0:p1], dmz1dooa[p0:p1]) * .5
de[k] += numpy.einsum('xpq,pq->x', veff1b[0,:,p0:p1], dmz1doob[p0:p1]) * .5
de[k] += numpy.einsum('xpq,qp->x', veff1a[0,:,p0:p1], dmz1dooa[:,p0:p1]) * .5
de[k] += numpy.einsum('xpq,qp->x', veff1b[0,:,p0:p1], dmz1doob[:,p0:p1]) * .5
de[k] -= numpy.einsum('xpq,pq->x', s1[:,p0:p1], im0[p0:p1])
de[k] -= numpy.einsum('xqp,pq->x', s1[:,p0:p1], im0[:,p0:p1])
de[k] += numpy.einsum('xij,ij->x', veff1a[1,:,p0:p1], oo0a[p0:p1]) * .5
de[k] += numpy.einsum('xij,ij->x', veff1b[1,:,p0:p1], oo0b[p0:p1]) * .5
de[k] += numpy.einsum('xij,ij->x', veff1a[2,:,p0:p1], dmxpya[p0:p1,:])
de[k] += numpy.einsum('xij,ij->x', veff1b[2,:,p0:p1], dmxpyb[p0:p1,:])
de[k] += numpy.einsum('xij,ij->x', veff1a[3,:,p0:p1], dmxmya[p0:p1,:])
de[k] += numpy.einsum('xij,ij->x', veff1b[3,:,p0:p1], dmxmyb[p0:p1,:])
de[k] += numpy.einsum('xji,ij->x', veff1a[2,:,p0:p1], dmxpya[:,p0:p1])
de[k] += numpy.einsum('xji,ij->x', veff1b[2,:,p0:p1], dmxpyb[:,p0:p1])
de[k] -= numpy.einsum('xji,ij->x', veff1a[3,:,p0:p1], dmxmya[:,p0:p1])
de[k] -= numpy.einsum('xji,ij->x', veff1b[3,:,p0:p1], dmxmyb[:,p0:p1])
dm0 = oo0a + oo0b
dmz1doo = (dmz1dooa + dmz1doob) * .5
dmxpy = dmxpya + dmxpyb
de += _grad_solvent(with_solvent, dm0, dmz1doo, dmxpy)
log.timer('TDUHF nuclear gradients', *time0)
return de
def _grad_solvent(pcmobj, dm0, dmz1doo, dmxpy, singlet=True):
'''Energy derivatives associated to derivatives of B tensor'''
dielectric = pcmobj.eps
if dielectric > 0:
f_epsilon = (dielectric-1.)/dielectric
else:
f_epsilon = 1
r_vdw = pcmobj._intermediates['r_vdw' ]
ylm_1sph = pcmobj._intermediates['ylm_1sph' ]
ui = pcmobj._intermediates['ui' ]
Lmat = pcmobj._intermediates['Lmat' ]
cached_pol = pcmobj._intermediates['cached_pol']
# First order nuclei-solvent-electron contribution
tmp = _grad_ne(pcmobj, dmz1doo,
r_vdw, ui, ylm_1sph, cached_pol, Lmat)
de = .5 * f_epsilon * tmp
# First order electron-solvent-electron contribution
tmp = _grad_ee(pcmobj, (dm0, dmxpy), (dmz1doo, dmxpy),
r_vdw, ui, ylm_1sph, cached_pol, Lmat)
de += .5 * f_epsilon * tmp[0] # (dm0 * dmz1doo)
if singlet and pcmobj.equilibrium_solvation:
de += .5 * f_epsilon * tmp[1] # (dmxpy * dmxpy)
return de
def _grad_nn(pcmobj, r_vdw, ui, ylm_1sph, cached_pol, L):
'''nuclei-solvent-nuclei term'''
mol = pcmobj.mol
natm = mol.natm
coords_1sph, weights_1sph = ddcosmo.make_grids_one_sphere(pcmobj.lebedev_order)
ngrid_1sph = coords_1sph.shape[0]
lmax = pcmobj.lmax
nlm = (lmax+1)**2
atom_coords = mol.atom_coords()
atom_charges = mol.atom_charges()
fi0 = ddcosmo.make_fi(pcmobj, r_vdw)
fi1 = ddcosmo_grad.make_fi1(pcmobj, pcmobj.get_atomic_radii())
fi1[:,:,ui==0] = 0
ui1 = -fi1
de = numpy.zeros((natm,3))
cav_coords = (atom_coords.reshape(natm,1,3)
+ numpy.einsum('r,gx->rgx', r_vdw, coords_1sph))
v_phi = numpy.zeros((natm, ngrid_1sph))
for ia in range(natm):
# Note (-) sign is not applied to atom_charges, because (-) is explicitly
# included in rhs and L matrix
d_rs = atom_coords.reshape(-1,1,3) - cav_coords[ia]
v_phi[ia] = numpy.einsum('z,zp->p', atom_charges, 1./lib.norm(d_rs,axis=2))
phi0 = -numpy.einsum('n,xn,jn,jn->jx', weights_1sph, ylm_1sph, ui, v_phi)
psi0 = numpy.zeros((natm, nlm))
for ia in range(natm):
psi0[ia,0] += numpy.sqrt(4*numpy.pi)/r_vdw[ia] * mol.atom_charge(ia)
v_phi0 = numpy.empty((natm,ngrid_1sph))
for ia in range(natm):
cav_coords = atom_coords[ia] + r_vdw[ia] * coords_1sph
d_rs = atom_coords.reshape(-1,1,3) - cav_coords
v_phi0[ia] = numpy.einsum('z,zp->p', atom_charges, 1./lib.norm(d_rs,axis=2))
phi1 = -numpy.einsum('n,ln,azjn,jn->azjl', weights_1sph, ylm_1sph, ui1, v_phi0)
for ia in range(natm):
cav_coords = atom_coords[ia] + r_vdw[ia] * coords_1sph
for ja in range(natm):
rs = atom_coords[ja] - cav_coords
d_rs = lib.norm(rs, axis=1)
v_phi = atom_charges[ja] * numpy.einsum('px,p->px', rs, 1./d_rs**3)
tmp = numpy.einsum('n,ln,n,nx->xl', weights_1sph, ylm_1sph, ui[ia], v_phi)
phi1[ja,:,ia] += tmp # response of the other atoms
phi1[ia,:,ia] -= tmp # response of cavity grids
L1 = ddcosmo_grad.make_L1(pcmobj, r_vdw, ylm_1sph, fi0)
Xvec0 = numpy.linalg.solve(L.reshape(natm*nlm,-1), phi0.ravel())
Xvec0 = Xvec0.reshape(natm,nlm)
phi1 -= numpy.einsum('aziljm,jm->azil', L1, Xvec0)
LS0 = numpy.linalg.solve(L.reshape(natm*nlm,-1).T, psi0.ravel())
LS0 = LS0.reshape(natm,nlm)
de += numpy.einsum('il,azil->az', LS0, phi1)
return de
def _grad_ne(pcmobj, dm, r_vdw, ui, ylm_1sph, cached_pol, L):
'''nuclear charge-electron density cross term'''
mol = pcmobj.mol
natm = mol.natm
coords_1sph, weights_1sph = ddcosmo.make_grids_one_sphere(pcmobj.lebedev_order)
ngrid_1sph = coords_1sph.shape[0]
lmax = pcmobj.lmax
nlm = (lmax+1)**2
nao = mol.nao
atom_coords = mol.atom_coords()
atom_charges = mol.atom_charges()
grids = pcmobj.grids
aoslices = mol.aoslice_by_atom()
#extern_point_idx = ui > 0
fi0 = ddcosmo.make_fi(pcmobj, r_vdw)
fi1 = ddcosmo_grad.make_fi1(pcmobj, pcmobj.get_atomic_radii())
fi1[:,:,ui==0] = 0
ui1 = -fi1
dms = numpy.asarray(dm)
is_single_dm = dms.ndim == 2
dms = dms.reshape(-1,nao,nao)
n_dm = dms.shape[0]
de = numpy.zeros((n_dm,natm,3))
cav_coords = (atom_coords.reshape(natm,1,3)
+ numpy.einsum('r,gx->rgx', r_vdw, coords_1sph))
v_phi = numpy.zeros((natm, ngrid_1sph))
for ia in range(natm):
# Note (-) sign is not applied to atom_charges, because (-) is explicitly
# included in rhs and L matrix
d_rs = atom_coords.reshape(-1,1,3) - cav_coords[ia]
v_phi[ia] = numpy.einsum('z,zp->p', atom_charges, 1./lib.norm(d_rs,axis=2))
phi0 = -numpy.einsum('n,xn,jn,jn->jx', weights_1sph, ylm_1sph, ui, v_phi)
Xvec0 = numpy.linalg.solve(L.reshape(natm*nlm,-1), phi0.ravel())
Xvec0 = Xvec0.reshape(natm,nlm)
v_phi0 = numpy.empty((natm,ngrid_1sph))
for ia in range(natm):
cav_coords = atom_coords[ia] + r_vdw[ia] * coords_1sph
d_rs = atom_coords.reshape(-1,1,3) - cav_coords
v_phi0[ia] = numpy.einsum('z,zp->p', atom_charges, 1./lib.norm(d_rs,axis=2))
phi1 = -numpy.einsum('n,ln,azjn,jn->azjl', weights_1sph, ylm_1sph, ui1, v_phi0)
for ia in range(natm):
cav_coords = atom_coords[ia] + r_vdw[ia] * coords_1sph
for ja in range(natm):
rs = atom_coords[ja] - cav_coords
d_rs = lib.norm(rs, axis=1)
v_phi = atom_charges[ja] * numpy.einsum('px,p->px', rs, 1./d_rs**3)
tmp = numpy.einsum('n,ln,n,nx->xl', weights_1sph, ylm_1sph, ui[ia], v_phi)
phi1[ja,:,ia] += tmp # response of the other atoms
phi1[ia,:,ia] -= tmp # response of cavity grids
L1 = ddcosmo_grad.make_L1(pcmobj, r_vdw, ylm_1sph, fi0)
phi1 -= numpy.einsum('aziljm,jm->azil', L1, Xvec0)
Xvec1 = numpy.linalg.solve(L.reshape(natm*nlm,-1), phi1.reshape(-1,natm*nlm).T)
Xvec1 = Xvec1.T.reshape(natm,3,natm,nlm)
for ia, (coords, weight, weight1) in enumerate(rks_grad.grids_response_cc(grids)):
ao = mol.eval_gto('GTOval_sph_deriv1', coords)
fak_pol, leak_idx = cached_pol[mol.atom_symbol(ia)]
fac_pol = ddcosmo._vstack_factor_fak_pol(fak_pol, lmax)
scaled_weights = numpy.einsum('azm,mn->azn', Xvec1[:,:,ia], fac_pol)
scaled_weights *= weight
aow = numpy.einsum('gi,azg->azgi', ao[0], scaled_weights)
de -= numpy.einsum('nij,gi,azgj->naz', dms, ao[0], aow)
aow0 = numpy.einsum('gi,g->gi', ao[0], weight)
aow1 = numpy.einsum('gi,zxg->zxgi', ao[0], weight1)
den0 = numpy.einsum('nij,gi,zxgj->nzxg', dms, ao[0], aow1)
de -= numpy.einsum('m,mg,nzxg->nzx', Xvec0[ia], fac_pol, den0)
eta_nj = numpy.einsum('m,mg->g', Xvec0[ia], fac_pol)
dm_ao = lib.einsum('nij,gj->ngi', dms, aow0)
dm_ao += lib.einsum('nji,gj->ngi', dms, aow0)
for ja in range(natm):
shl0, shl1, p0, p1 = aoslices[ja]
den1 = numpy.einsum('ngi,xgi->nxg', dm_ao[:,:,p0:p1], ao[1:,:,p0:p1])
detmp = numpy.einsum('g,nxg->nx', eta_nj, den1)
de[:,ja] += detmp
de[:,ia] -= detmp
psi0 = numpy.zeros((natm, nlm))
for ia in range(natm):
psi0[ia,0] += numpy.sqrt(4*numpy.pi)/r_vdw[ia] * mol.atom_charge(ia)
LS0 = numpy.linalg.solve(L.reshape(natm*nlm,-1).T, psi0.ravel())
LS0 = LS0.reshape(natm,nlm)
LS1 = numpy.einsum('il,aziljm->azjm', LS0, L1)
LS1 = numpy.linalg.solve(L.reshape(natm*nlm,-1).T, LS1.reshape(-1,natm*nlm).T)
LS1 = LS1.T.reshape(natm,3,natm,nlm)
int3c2e = mol._add_suffix('int3c2e')
int3c2e_ip1 = mol._add_suffix('int3c2e_ip1')
cintopt = gto.moleintor.make_cintopt(mol._atm, mol._bas, mol._env, int3c2e)
cintopt_ip1 = gto.moleintor.make_cintopt(mol._atm, mol._bas, mol._env, int3c2e_ip1)
for ia in range(natm):
cav_coords = atom_coords[ia] + r_vdw[ia] * coords_1sph
#fakemol = gto.fakemol_for_charges(cav_coords[ui[ia]>0])
fakemol = gto.fakemol_for_charges(cav_coords)
wtmp = numpy.einsum('l,n,ln->ln', LS0[ia], weights_1sph, ylm_1sph)
v_nj = df.incore.aux_e2(mol, fakemol, intor=int3c2e, aosym='s1', cintopt=cintopt)
jaux = numpy.einsum('ijg,nij->ng', v_nj, dms)
de -= numpy.einsum('azl,g,lg,g,ng->naz', LS1[:,:,ia], weights_1sph, ylm_1sph, ui[ia], jaux)
de += numpy.einsum('lg,azg,ng->naz', wtmp, ui1[:,:,ia], jaux)
v_e1_nj = df.incore.aux_e2(mol, fakemol, intor=int3c2e_ip1, comp=3,
aosym='s1', cintopt=cintopt_ip1)
for ja in range(natm):
shl0, shl1, p0, p1 = aoslices[ja]
jaux1 = numpy.einsum('xijg,nij->nxg', v_e1_nj[:,p0:p1], dms[:,p0:p1])
jaux1 += numpy.einsum('xijg,nji->nxg', v_e1_nj[:,p0:p1], dms[:,:,p0:p1])
detmp = numpy.einsum('lg,g,nxg->nx', wtmp, ui[ia], jaux1)
de[:,ja] -= detmp
de[:,ia] += detmp
if is_single_dm:
de = de[0]
return de
def _grad_ee(pcmobj, dm1, dm2, r_vdw, ui, ylm_1sph, cached_pol, L):
'''electron density-electorn density term'''
mol = pcmobj.mol
mol = pcmobj.mol
natm = mol.natm
nao = mol.nao
lmax = pcmobj.lmax
nlm = (lmax+1)**2
atom_coords = mol.atom_coords()
aoslices = mol.aoslice_by_atom()
grids = pcmobj.grids
coords_1sph, weights_1sph = ddcosmo.make_grids_one_sphere(pcmobj.lebedev_order)
#extern_point_idx = ui > 0
fi0 = ddcosmo.make_fi(pcmobj, r_vdw)
fi1 = ddcosmo_grad.make_fi1(pcmobj, pcmobj.get_atomic_radii())
fi1[:,:,ui==0] = 0
ui1 = -fi1
dm1s = numpy.asarray(dm1)
dm2s = numpy.asarray(dm2)
is_single_dm = dm1s.ndim == 2
dm1s = dm1s.reshape(-1,nao,nao)
dm2s = dm2s.reshape(-1,nao,nao)
n_dm = dm1s.shape[0]
assert dm2s.shape[0] == n_dm
de = numpy.zeros((n_dm,natm,3))
ni = numint.NumInt()
make_rho, nset, nao = ni._gen_rho_evaluator(mol, dm1s, hermi=0)
den = numpy.empty((n_dm,grids.weights.size))
p1 = 0
for ao, mask, weight, coords in ni.block_loop(mol, grids, nao, 0):
p0, p1 = p1, p1 + weight.size
for i in range(n_dm):
den[i,p0:p1] = make_rho(i, ao, mask, 'LDA') * weight
psi0_dm1 = numpy.zeros((n_dm, natm, nlm))
i1 = 0
for ia in range(natm):
fak_pol, leak_idx = cached_pol[mol.atom_symbol(ia)]
fac_pol = ddcosmo._vstack_factor_fak_pol(fak_pol, lmax)
i0, i1 = i1, i1 + fac_pol.shape[1]
psi0_dm1[:,ia] = -numpy.einsum('mg,ng->nm', fac_pol, den[:,i0:i1])
LS0 = numpy.linalg.solve(L.reshape(natm*nlm,-1).T, psi0_dm1.reshape(n_dm,-1).T)
LS0 = LS0.T.reshape(n_dm,natm,nlm)
phi0_dm1 = numpy.zeros((n_dm,natm,nlm))
phi0_dm2 = numpy.zeros((n_dm,natm,nlm))
phi1_dm1 = numpy.zeros((n_dm,natm,3,natm,nlm))
int3c2e = mol._add_suffix('int3c2e')
int3c2e_ip1 = mol._add_suffix('int3c2e_ip1')
cintopt = gto.moleintor.make_cintopt(mol._atm, mol._bas, mol._env, int3c2e)
cintopt_ip1 = gto.moleintor.make_cintopt(mol._atm, mol._bas, mol._env, int3c2e_ip1)
for ia in range(natm):
cav_coords = atom_coords[ia] + r_vdw[ia] * coords_1sph
#fakemol = gto.fakemol_for_charges(cav_coords[ui[ia]>0])
fakemol = gto.fakemol_for_charges(cav_coords)
v_nj = df.incore.aux_e2(mol, fakemol, intor=int3c2e, aosym='s1', cintopt=cintopt)
v_phi = numpy.einsum('ijg,nij->ng', v_nj, dm1s)
phi0_dm1[:,ia] = numpy.einsum('g,lg,g,ng->nl', weights_1sph, ylm_1sph, ui[ia], v_phi)
phi1_dm1[:,:,:,ia] += numpy.einsum('g,lg,azg,ng->nazl', weights_1sph, ylm_1sph, ui1[:,:,ia], v_phi)
jaux = numpy.einsum('ijg,nij->ng', v_nj, dm2s)
de += numpy.einsum('nl,g,lg,azg,ng->naz', LS0[:,ia], weights_1sph, ylm_1sph, ui1[:,:,ia], jaux)
v_e1_nj = df.incore.aux_e2(mol, fakemol, intor=int3c2e_ip1, comp=3,
aosym='s1', cintopt=cintopt_ip1)
wtmp = numpy.einsum('g,lg,g->lg', weights_1sph, ylm_1sph, ui[ia])
phi0_dm2[:,ia] = numpy.einsum('lg,ng->nl', wtmp, jaux)
for ja in range(natm):
shl0, shl1, p0, p1 = aoslices[ja]
jaux1 = numpy.einsum('xijg,nij->nxg', v_e1_nj[:,p0:p1], dm2s[:,p0:p1])
jaux1 += numpy.einsum('xijg,nji->nxg', v_e1_nj[:,p0:p1], dm2s[:,:,p0:p1])
detmp = numpy.einsum('nl,lg,nxg->nx', LS0[:,ia], wtmp, jaux1)
de[:,ja] -= detmp
de[:,ia] += detmp
tmp = numpy.einsum('xijg,nij->nxg', v_e1_nj[:,p0:p1], dm1s[:,p0:p1])
tmp += numpy.einsum('xijg,nji->nxg', v_e1_nj[:,p0:p1], dm1s[:,:,p0:p1])
phitmp = numpy.einsum('lg,nxg->nxl', wtmp, tmp)
phi1_dm1[:,ja,:,ia] -= phitmp
phi1_dm1[:,ia,:,ia] += phitmp
Xvec0 = numpy.linalg.solve(L.reshape(natm*nlm,-1), phi0_dm1.reshape(n_dm,-1).T)
Xvec0 = Xvec0.T.reshape(n_dm,natm,nlm)
L1 = ddcosmo_grad.make_L1(pcmobj, r_vdw, ylm_1sph, fi0)
phi1_dm1 -= numpy.einsum('aziljm,njm->nazil', L1, Xvec0)
Xvec1 = numpy.linalg.solve(L.reshape(natm*nlm,-1), phi1_dm1.reshape(-1,natm*nlm).T)
Xvec1 = Xvec1.T.reshape(n_dm,natm,3,natm,nlm)
psi1_dm1 = numpy.zeros((n_dm,natm,3,natm,nlm))
for ia, (coords, weight, weight1) in enumerate(rks_grad.grids_response_cc(grids)):
ao = mol.eval_gto('GTOval_sph_deriv1', coords)
fak_pol, leak_idx = cached_pol[mol.atom_symbol(ia)]
fac_pol = ddcosmo._vstack_factor_fak_pol(fak_pol, lmax)
scaled_weights = numpy.einsum('nazm,mg->nazg', Xvec1[:,:,:,ia], fac_pol)
scaled_weights *= weight
aow = numpy.einsum('gi,nazg->nazgi', ao[0], scaled_weights)
de -= numpy.einsum('nij,gi,nazgj->naz', dm2s, ao[0], aow)
aow0 = numpy.einsum('gi,g->gi', ao[0], weight)
aow1 = numpy.einsum('gi,zxg->zxgi', ao[0], weight1)
den0 = numpy.einsum('nij,gi,zxgj->nzxg', dm1s, ao[0], aow1)
psi1_dm1[:,:,:,ia] -= numpy.einsum('mg,nzxg->nzxm', fac_pol, den0)
dm_ao = lib.einsum('nij,gj->ngi', dm1s, aow0)
dm_ao += lib.einsum('nji,gj->ngi', dm1s, aow0)
for ja in range(natm):
shl0, shl1, p0, p1 = aoslices[ja]
den1 = numpy.einsum('ngi,xgi->nxg', dm_ao[:,:,p0:p1], ao[1:,:,p0:p1])
psitmp = numpy.einsum('mg,nxg->nxm', fac_pol, den1)
psi1_dm1[:,ja,:,ia] += psitmp
psi1_dm1[:,ia,:,ia] -= psitmp
eta_nj = numpy.einsum('nm,mg->ng', Xvec0[:,ia], fac_pol)
den0 = numpy.einsum('nij,gi,zxgj->nzxg', dm2s, ao[0], aow1)
de -= numpy.einsum('ng,nzxg->nzx', eta_nj, den0)
dm_ao = lib.einsum('nij,gj->ngi', dm2s, aow0)
dm_ao += lib.einsum('nji,gj->ngi', dm2s, aow0)
for ja in range(natm):
shl0, shl1, p0, p1 = aoslices[ja]
den1 = lib.einsum('ngi,xgi->nxg', dm_ao[:,:,p0:p1], ao[1:,:,p0:p1])
detmp = numpy.einsum('ng,nxg->nx', eta_nj, den1)
de[:,ja] += detmp
de[:,ia] -= detmp
psi1_dm1 -= numpy.einsum('nil,aziljm->nazjm', LS0, L1)
LS1 = numpy.linalg.solve(L.reshape(natm*nlm,-1).T, psi1_dm1.reshape(-1,natm*nlm).T)
LS1 = LS1.T.reshape(n_dm,natm,3,natm,nlm)
de += numpy.einsum('nazjx,njx->naz', LS1, phi0_dm2)
if is_single_dm:
de = de[0]
return de
if __name__ == '__main__':
mol0 = gto.M(atom='H 0. 0. 1.804; F 0. 0. 0.', verbose=0, unit='B')
mol1 = gto.M(atom='H 0. 0. 1.803; F 0. 0. 0.', verbose=0, unit='B')
mol2 = gto.M(atom='H 0. 0. 1.805; F 0. 0. 0.', verbose=0, unit='B')
# TDA with equilibrium_solvation
mf = mol0.RHF().ddCOSMO().run()
td = mf.TDA().ddCOSMO().run(equilibrium_solvation=True)
g1 = td.nuc_grad_method().kernel() # 0 0 -0.5116214042
mf = mol1.RHF().ddCOSMO().run()
td1 = mf.TDA().ddCOSMO().run(equilibrium_solvation=True)
mf = mol2.RHF().ddCOSMO().run()
td2 = mf.TDA().ddCOSMO().run(equilibrium_solvation=True)
print((td2.e_tot[0]-td1.e_tot[0])/0.002, g1[0,2])
print((td2.e_tot[0]-td1.e_tot[0])/0.002 - g1[0,2])
# TDA without equilibrium_solvation
mf = mol0.RHF().ddCOSMO().run()
td = mf.TDA().ddCOSMO().run()
g1 = td.nuc_grad_method().kernel()
mf = mol1.RHF().ddCOSMO().run()
td1 = mf.TDA().ddCOSMO().run()
mf = mol2.RHF().ddCOSMO().run()
td2 = mf.TDA().ddCOSMO().run()
print((td2.e_tot[0]-td1.e_tot[0])/0.002, g1[0,2])
print((td2.e_tot[0]-td1.e_tot[0])/0.002 - g1[0,2])
# TDA lda with equilibrium_solvation
mf = mol0.RKS().ddCOSMO().run(xc='svwn')
td = mf.TDA().ddCOSMO().run(equilibrium_solvation=True)
g1 = td.nuc_grad_method().kernel()
mf = mol1.RKS().ddCOSMO().run(xc='svwn')
td1 = mf.TDA().ddCOSMO().run(equilibrium_solvation=True)
mf = mol2.RKS().ddCOSMO().run(xc='svwn')
td2 = mf.TDA().ddCOSMO().run(equilibrium_solvation=True)
print((td2.e_tot[0]-td1.e_tot[0])/0.002, g1[0,2])
print((td2.e_tot[0]-td1.e_tot[0])/0.002 - g1[0,2])
| 44.040927 | 107 | 0.592271 | 8,875 | 57,033 | 3.689465 | 0.072789 | 0.072227 | 0.035915 | 0.021806 | 0.866174 | 0.846018 | 0.826533 | 0.814226 | 0.792481 | 0.776081 | 0 | 0.046233 | 0.222924 | 57,033 | 1,294 | 108 | 44.074961 | 0.692592 | 0.059334 | 0 | 0.697087 | 0 | 0 | 0.055994 | 0.00086 | 0 | 0 | 0 | 0.000773 | 0.001942 | 1 | 0.016505 | false | 0.000971 | 0.015534 | 0 | 0.050485 | 0.005825 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
6a7196b4397beadc10ded215138acbb83ed20c77 | 40 | py | Python | stock_picking_report_valued/tests/__init__.py | NextERP-Romania/addons_extern | d08f428aeea4cda1890adfd250bc359bda0c33f3 | [
"Apache-2.0"
] | null | null | null | stock_picking_report_valued/tests/__init__.py | NextERP-Romania/addons_extern | d08f428aeea4cda1890adfd250bc359bda0c33f3 | [
"Apache-2.0"
] | null | null | null | stock_picking_report_valued/tests/__init__.py | NextERP-Romania/addons_extern | d08f428aeea4cda1890adfd250bc359bda0c33f3 | [
"Apache-2.0"
] | null | null | null | from . import test_stock_picking_valued
| 20 | 39 | 0.875 | 6 | 40 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 40 | 1 | 40 | 40 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6adaa7ba85d445c1e9c0c3bb325763495bda7d6c | 10,582 | py | Python | app/tests/testFacets.py | lhorne-gavant/OpenPubArchive-Content-Server-1 | 2b7c02417a8bb37f5a627343fab7fa05dc532bf7 | [
"Apache-2.0"
] | null | null | null | app/tests/testFacets.py | lhorne-gavant/OpenPubArchive-Content-Server-1 | 2b7c02417a8bb37f5a627343fab7fa05dc532bf7 | [
"Apache-2.0"
] | null | null | null | app/tests/testFacets.py | lhorne-gavant/OpenPubArchive-Content-Server-1 | 2b7c02417a8bb37f5a627343fab7fa05dc532bf7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Third-party imports...
#from nose.tools import assert_true
import sys
import os.path
folder = os.path.basename(os.path.dirname(os.path.abspath(__file__)))
if folder == "tests": # testing from within WingIDE, default folder is tests
sys.path.append('../libs')
sys.path.append('../config')
sys.path.append('../../app')
else: # python running from should be within folder app
sys.path.append('./libs')
sys.path.append('./config')
import unittest
import requests
# from requests.utils import requote_uri
# import urllib
from unitTestConfig import base_api, base_plus_endpoint_encoded
class TestFacets(unittest.TestCase):
def test_1a_facet_art_sourcecode(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=art_sourcecode')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["art_sourcecode"])
assert(response_info["fullCount"] >= 135000)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["PAQ"] >= 16989)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["IJP"] >= 11721)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["RFP"] >= 8775)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["PSYCHE"] >= 8521)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["PSAR"] >= 6778)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["APA"] >= 5453)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["ZBK"] >= 4010)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["JOAP"] >= 3994)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["RPSA"] >= 3892)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["REVAPA"] >= 3490)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["AJP"] >= 3236)
assert(response_info["facetCounts"]["facet_fields"]["art_sourcecode"]["PSU"] >= 2885)
def test_1b_facet_art_kwds_multi(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=art_kwds_str, art_kwds, terms_highlighted')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["art_kwds_str"])
print(response_info["facetCounts"]["facet_fields"]["art_kwds"])
print(response_info["facetCounts"]["facet_fields"]["terms_highlighted"])
assert(response_info["fullCount"] >= 135000)
assert(response_info["facetCounts"]["facet_fields"]["art_kwds_str"]["psychoanalysis"] >= 30)
def test_1b_facet_bib_title(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=bib_title&limit=60')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["bib_title"])
assert(response_info["fullCount"] >= 135000)
assert(response_info["facetCounts"]["facet_fields"]["bib_title"]["standard edition"] >= 7808)
def test_1c_facet_art_lang(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=art_lang')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["art_lang"])
assert(response_info["fullCount"] >= 135000)
assert(response_info["facetCounts"]["facet_fields"]["art_lang"]["en"] >= 7808)
def test_1c_facet_art_type(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=art_type')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["art_type"])
assert(response_info["fullCount"] >= 135000)
assert(response_info["facetCounts"]["facet_fields"]["art_type"]["REV"] >= 36556)
def test_1c_facet_art_year(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=art_year')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["art_year"])
assert(response_info["fullCount"] >= 135000)
assert(response_info["facetCounts"]["facet_fields"]["art_year"]["2015"] >= 2598)
def test_1c_facet_art_sourcetype_multi(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=art_sourcetype,art_type')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["art_sourcetype"])
print(response_info["facetCounts"]["facet_fields"]["art_type"])
assert(response_info["fullCount"] >= 135000)
def test_1c_facet_art_authors(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=art_authors')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["art_authors"])
assert(response_info["fullCount"] >= 135000)
def test_1c_facet_glossary_terms(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=glossary_terms')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["glossary_terms"])
assert(response_info["fullCount"] >= 135000)
def test_1c_facet_glossary_group_terms(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=glossary_group_terms')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["glossary_group_terms"])
assert(response_info["fullCount"] >= 135000)
def test_1c_facet_freuds_italics(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=freuds_italics')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["freuds_italics"])
assert(response_info["fullCount"] >= 135000)
def test_1c_facet_reference_count(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=reference_count')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["reference_count"])
assert(response_info["fullCount"] >= 135000)
def test_1c_facet_bib_authors(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=bib_authors')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["bib_authors"])
assert(response_info["fullCount"] >= 135000)
def test_1c_facet_tagline(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=tagline')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["tagline"])
assert(response_info["fullCount"] >= 135000)
def test_1c_facet_title(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=title')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["title"])
assert(response_info["fullCount"] >= 135000)
def test_1c_facet_journals(self):
# Send a request to the API server and store the response.
full_URL = base_plus_endpoint_encoded('/v2/Database/Search/?facetfields=title')
response = requests.get(full_URL)
assert(response.ok == True)
r = response.json()
response_info = r["documentList"]["responseInfo"]
print(response_info["facetCounts"]["facet_fields"]["title"])
assert(response_info["fullCount"] >= 135000)
if __name__ == '__main__':
unittest.main()
| 50.390476 | 124 | 0.674731 | 1,264 | 10,582 | 5.39557 | 0.117089 | 0.119648 | 0.121408 | 0.147801 | 0.868915 | 0.86349 | 0.851613 | 0.845308 | 0.739003 | 0.714223 | 0 | 0.02374 | 0.187961 | 10,582 | 210 | 125 | 50.390476 | 0.769929 | 0.110093 | 0 | 0.52439 | 0 | 0 | 0.283479 | 0.076858 | 0 | 0 | 0 | 0 | 0.29878 | 1 | 0.097561 | false | 0 | 0.030488 | 0 | 0.134146 | 0.115854 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0af7aa31b8033338c8920b0644584037d9e15a53 | 10,106 | py | Python | pearl/envs/navigation_sparse.py | joncrawf/mime | 7be7b1351cabaacc17caddbb6f808f3d37721a81 | [
"MIT"
] | null | null | null | pearl/envs/navigation_sparse.py | joncrawf/mime | 7be7b1351cabaacc17caddbb6f808f3d37721a81 | [
"MIT"
] | null | null | null | pearl/envs/navigation_sparse.py | joncrawf/mime | 7be7b1351cabaacc17caddbb6f808f3d37721a81 | [
"MIT"
] | 1 | 2020-10-28T11:51:08.000Z | 2020-10-28T11:51:08.000Z | import numpy as np
import gym
from gym import spaces
from gym.utils import seeding
from . import register_env
@register_env('navigation-sparse')
class NavigationSparse(gym.Env):
"""2D navigation problems, as described in [1]. The code is adapted from
https://github.com/cbfinn/maml_rl/blob/9c8e2ebd741cb0c7b8bf2d040c4caeeb8e06cc95/maml_examples/point_env_randgoal.py
At each time step, the 2D agent takes an action (its velocity, clipped in
[-0.1, 0.1]), and receives a rewards which is the inverse of
its L2 distance to the goal when it is close to the goal position.
(ie. the reward is `1/distance`). The 2D navigation tasks are
generated by sampling goal positions from the uniform distribution
on [-0.5, 0.5]^2.
[1] Chelsea Finn, Pieter Abbeel, Sergey Levine, "Model-Agnostic
Meta-Learning for Fast Adaptation of Deep Networks", 2017
(https://arxiv.org/abs/1703.03400)
"""
def __init__(self, task={}, low=-0.5, high=0.5, sparse=True, n_tasks=-1, randomize_tasks=False,):
super(NavigationSparse, self).__init__()
self.low = 8.0
self.high = 9.0
self.seed()
self.sparse = sparse
self.observation_space = spaces.Box(low=-np.inf, high=np.inf,
shape=(2,), dtype=np.float32)
self.action_space = spaces.Box(low=-0.1, high=0.1,
shape=(2,), dtype=np.float32)
num_train_tasks = 10
goals = []
i = 0
while i < num_train_tasks:
goal = self.np_random.randn(1, 2) * self.high
# if (self.low < np.abs(goal[0, 0]) < self.high or self.low < np.abs(goal[0, 1]) < self.high) \
# and -self.high < goal[0, 0] < self.high and -self.high < goal[0, 1] < self.high:
distance = np.sqrt( goal[0,0] ** 2 + goal[0,1] ** 2)
if self.low < distance < self.high:
goals.append(goal)
i += 1
medium = (self.high + self.low) / 2
diag_medium = medium * np.sqrt(2) / 2
goals.append(np.array([0, medium]))
goals.append(np.array([medium, 0]))
goals.append(np.array([0, -medium]))
goals.append(np.array([-medium, 0]))
goals.append(np.array([diag_medium, diag_medium]))
goals.append(np.array([diag_medium, -diag_medium]))
goals.append(np.array([-diag_medium, -diag_medium]))
goals.append(np.array([-diag_medium, diag_medium]))
self.goals = goals
# self._task = task
# self.sparse = sparse
# self._goal = task.get('goal', np.zeros(2, dtype=np.float32))
self._state = np.zeros(2, dtype=np.float32)
def seed(self, seed=None):
self.np_random, seed = seeding.np_random(seed)
return [seed]
def get_all_task_idx(self):
return range(len(self.goals))
def _get_obs(self):
return np.copy(self._state)
def viewer_setup(self):
print('no viewer')
pass
def render(self):
print('current state:', self._state)
# def reset_task(self, idx):
# self._task = task
# self._goal = task['goal']
def reset_task(self, idx):
''' reset goal AND reset the agent '''
self._goal = np.reshape(self.goals[idx], (-1,))
self.reset()
def reset(self, env=True):
self._state = np.zeros(2, dtype=np.float32)
return self._state
def step(self, action):
action = np.clip(action, -0.1, 0.1)
assert self.action_space.contains(action)
self._state = self._state + action
x = self._state[0] - self._goal[0]
y = self._state[1] - self._goal[1]
distance = np.sqrt(x ** 2 + y ** 2)
if self.sparse:
if distance < 1: #(np.abs(x) < 1.) and (np.abs(y) < 1.):
reward = +1. # / (distance + 1e-8)
success = True
else:
success = False
reward = + 0.
info = {'goal': self._goal, 'success': float(success)}
else:
reward = -distance
if distance < 1: #(np.abs(x) < 1.) and (np.abs(y) < 1.):
success = True
else:
success = False
info = {'goal': self._goal, 'success': float(success)}
done = False # ((np.abs(x) < 0.05) and (np.abs(y) < 0.05))
# has_end = False
#
# if has_end and success:
# done = True
return self._state, reward, done, info
@register_env('navigation-medium-sparse')
class NavigationMediumSparse(NavigationSparse):
"""2D navigation problems, as described in [1]. The code is adapted from
https://github.com/cbfinn/maml_rl/blob/9c8e2ebd741cb0c7b8bf2d040c4caeeb8e06cc95/maml_examples/point_env_randgoal.py
At each time step, the 2D agent takes an action (its velocity, clipped in
[-0.1, 0.1]), and receives a rewards which is the inverse of
its L2 distance to the goal when it is close to the goal position.
(ie. the reward is `1/distance`). The 2D navigation tasks are
generated by sampling goal positions from the uniform distribution
on [-0.5, 0.5]^2.
[1] Chelsea Finn, Pieter Abbeel, Sergey Levine, "Model-Agnostic
Meta-Learning for Fast Adaptation of Deep Networks", 2017
(https://arxiv.org/abs/1703.03400)
"""
def __init__(self, task={}, low=-0.5, high=0.5, sparse=True, n_tasks=-1, randomize_tasks=False,):
super(NavigationMediumSparse, self).__init__()
self.low = 5.0
self.high = 5.5
self.seed()
self.sparse = sparse
self.observation_space = spaces.Box(low=-np.inf, high=np.inf,
shape=(2,), dtype=np.float32)
self.action_space = spaces.Box(low=-0.1, high=0.1,
shape=(2,), dtype=np.float32)
num_train_tasks = 10
goals = []
i = 0
while i < num_train_tasks:
goal = self.np_random.randn(1, 2) * self.high
# if (self.low < np.abs(goal[0, 0]) < self.high or self.low < np.abs(goal[0, 1]) < self.high) \
# and -self.high < goal[0, 0] < self.high and -self.high < goal[0, 1] < self.high:
distance = np.sqrt( goal[0,0] ** 2 + goal[0,1] ** 2)
if self.low < distance < self.high:
goals.append(goal)
i += 1
medium = (self.high + self.low) / 2
diag_medium = medium * np.sqrt(2) / 2
goals.append(np.array([0, medium]))
goals.append(np.array([medium, 0]))
goals.append(np.array([0, -medium]))
goals.append(np.array([-medium, 0]))
goals.append(np.array([diag_medium, diag_medium]))
goals.append(np.array([diag_medium, -diag_medium]))
goals.append(np.array([-diag_medium, -diag_medium]))
goals.append(np.array([-diag_medium, diag_medium]))
self.goals = goals
# self._task = task
# self.sparse = sparse
# self._goal = task.get('goal', np.zeros(2, dtype=np.float32))
self._state = np.zeros(2, dtype=np.float32)
@register_env('navigation-thick-sparse')
class NavigationThickSparse(NavigationSparse):
"""2D navigation problems, as described in [1]. The code is adapted from
https://github.com/cbfinn/maml_rl/blob/9c8e2ebd741cb0c7b8bf2d040c4caeeb8e06cc95/maml_examples/point_env_randgoal.py
At each time step, the 2D agent takes an action (its velocity, clipped in
[-0.1, 0.1]), and receives a rewards which is the inverse of
its L2 distance to the goal when it is close to the goal position.
(ie. the reward is `1/distance`). The 2D navigation tasks are
generated by sampling goal positions from the uniform distribution
on [-0.5, 0.5]^2.
[1] Chelsea Finn, Pieter Abbeel, Sergey Levine, "Model-Agnostic
Meta-Learning for Fast Adaptation of Deep Networks", 2017
(https://arxiv.org/abs/1703.03400)
"""
def __init__(self, task={}, low=-0.5, high=0.5, sparse=True, n_tasks=-1, randomize_tasks=False,):
super(NavigationThickSparse, self).__init__()
self.low = 5.0
self.high = 9.0
self.seed()
self.sparse = sparse
self.observation_space = spaces.Box(low=-np.inf, high=np.inf,
shape=(2,), dtype=np.float32)
self.action_space = spaces.Box(low=-0.1, high=0.1,
shape=(2,), dtype=np.float32)
num_train_tasks = 10
goals = []
i = 0
while i < num_train_tasks:
goal = self.np_random.randn(1, 2) * self.high
# if (self.low < np.abs(goal[0, 0]) < self.high or self.low < np.abs(goal[0, 1]) < self.high) \
# and -self.high < goal[0, 0] < self.high and -self.high < goal[0, 1] < self.high:
distance = np.sqrt( goal[0,0] ** 2 + goal[0,1] ** 2)
if self.low < distance < self.high:
goals.append(goal)
i += 1
medium = 5.5
diag_medium = medium * np.sqrt(2) / 2
goals.append(np.array([0, medium]))
goals.append(np.array([medium, 0]))
goals.append(np.array([0, -medium]))
goals.append(np.array([-medium, 0]))
goals.append(np.array([diag_medium, diag_medium]))
goals.append(np.array([diag_medium, -diag_medium]))
goals.append(np.array([-diag_medium, -diag_medium]))
goals.append(np.array([-diag_medium, diag_medium]))
medium = 8.5
diag_medium = medium * np.sqrt(2) / 2
goals.append(np.array([0, medium]))
goals.append(np.array([medium, 0]))
goals.append(np.array([0, -medium]))
goals.append(np.array([-medium, 0]))
goals.append(np.array([diag_medium, diag_medium]))
goals.append(np.array([diag_medium, -diag_medium]))
goals.append(np.array([-diag_medium, -diag_medium]))
goals.append(np.array([-diag_medium, diag_medium]))
self.goals = goals
# self._task = task
# self.sparse = sparse
# self._goal = task.get('goal', np.zeros(2, dtype=np.float32))
self._state = np.zeros(2, dtype=np.float32) | 39.476563 | 119 | 0.590243 | 1,420 | 10,106 | 4.101408 | 0.119718 | 0.061813 | 0.071429 | 0.098901 | 0.829327 | 0.81353 | 0.81353 | 0.801511 | 0.789148 | 0.789148 | 0 | 0.045923 | 0.269543 | 10,106 | 256 | 120 | 39.476563 | 0.743024 | 0.322779 | 0 | 0.692308 | 0 | 0 | 0.016359 | 0.007054 | 0 | 0 | 0 | 0 | 0.00641 | 1 | 0.070513 | false | 0.00641 | 0.032051 | 0.012821 | 0.153846 | 0.012821 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7c31d486f05ca2fdcdbd2ee971f7d0583255652e | 23,362 | py | Python | api_tests/nodes/views/test_node_contributors_detail.py | DanielSBrown/osf.io | 98dda2ac237377197acacce78274bc0a4ce8f303 | [
"Apache-2.0"
] | null | null | null | api_tests/nodes/views/test_node_contributors_detail.py | DanielSBrown/osf.io | 98dda2ac237377197acacce78274bc0a4ce8f303 | [
"Apache-2.0"
] | null | null | null | api_tests/nodes/views/test_node_contributors_detail.py | DanielSBrown/osf.io | 98dda2ac237377197acacce78274bc0a4ce8f303 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from nose.tools import * # flake8: noqa
from website.models import NodeLog
from website.project.model import Auth
from website.util import permissions
from api.base.settings.defaults import API_BASE
from tests.base import ApiTestCase
from tests.factories import (
ProjectFactory,
AuthUserFactory,
)
from tests.utils import assert_logs, assert_not_logs
class NodeCRUDTestCase(ApiTestCase):
def setUp(self):
super(NodeCRUDTestCase, self).setUp()
self.user = AuthUserFactory()
self.user_two = AuthUserFactory()
self.title = 'Cool Project'
self.new_title = 'Super Cool Project'
self.description = 'A Properly Cool Project'
self.new_description = 'An even cooler project'
self.category = 'data'
self.new_category = 'project'
self.public_project = ProjectFactory(title=self.title,
description=self.description,
category=self.category,
is_public=True,
creator=self.user)
self.public_url = '/{}nodes/{}/'.format(API_BASE, self.public_project._id)
self.private_project = ProjectFactory(title=self.title,
description=self.description,
category=self.category,
is_public=False,
creator=self.user)
self.private_url = '/{}nodes/{}/'.format(API_BASE, self.private_project._id)
self.fake_url = '/{}nodes/{}/'.format(API_BASE, '12345')
def make_node_payload(node, attributes):
return {
'data': {
'id': node._id,
'type': 'nodes',
'attributes': attributes,
}
}
class TestContributorDetail(NodeCRUDTestCase):
def setUp(self):
super(TestContributorDetail, self).setUp()
self.public_url = '/{}nodes/{}/contributors/{}/'.format(API_BASE, self.public_project, self.user._id)
self.private_url_base = '/{}nodes/{}/contributors/{}/'.format(API_BASE, self.private_project._id, '{}')
self.private_url = self.private_url_base.format(self.user._id)
def test_get_public_contributor_detail(self):
res = self.app.get(self.public_url)
assert_equal(res.status_code, 200)
assert_equal(res.json['data']['id'], '{}-{}'.format(self.public_project._id, self.user._id))
def test_get_private_node_contributor_detail_contributor_auth(self):
res = self.app.get(self.private_url, auth=self.user.auth)
assert_equal(res.status_code, 200)
assert_equal(res.json['data']['id'], '{}-{}'.format(self.private_project, self.user._id))
def test_get_private_node_contributor_detail_non_contributor(self):
res = self.app.get(self.private_url, auth=self.user_two.auth, expect_errors=True)
assert_equal(res.status_code, 403)
def test_get_private_node_contributor_detail_not_logged_in(self):
res = self.app.get(self.private_url, expect_errors=True)
assert_equal(res.status_code, 401)
def test_get_private_node_non_contributor_detail_contributor_auth(self):
res = self.app.get(self.private_url_base.format(self.user_two._id), auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 404)
def test_get_private_node_invalid_user_detail_contributor_auth(self):
res = self.app.get(self.private_url_base.format('invalid'), auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 404)
def test_unregistered_contributor_detail_show_up_as_name_associated_with_project(self):
project = ProjectFactory(creator=self.user, public=True)
project.add_unregistered_contributor('Robert Jackson', 'robert@gmail.com', auth=Auth(self.user), save=True)
unregistered_contributor = project.contributors[1]
url = '/{}nodes/{}/contributors/{}/'.format(API_BASE, project._id, unregistered_contributor._id)
res = self.app.get(url, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 200)
assert_equal(res.json['data']['embeds']['users']['data']['attributes']['full_name'], 'Robert Jackson')
assert_equal(res.json['data']['attributes'].get('unregistered_contributor'), 'Robert Jackson')
project_two = ProjectFactory(creator=self.user, public=True)
project_two.add_unregistered_contributor('Bob Jackson', 'robert@gmail.com', auth=Auth(self.user), save=True)
url = '/{}nodes/{}/contributors/{}/'.format(API_BASE, project_two._id, unregistered_contributor._id)
res = self.app.get(url, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 200)
assert_equal(res.json['data']['embeds']['users']['data']['attributes']['full_name'], 'Robert Jackson')
assert_equal(res.json['data']['attributes'].get('unregistered_contributor'), 'Bob Jackson')
class TestNodeContributorUpdate(ApiTestCase):
def setUp(self):
super(TestNodeContributorUpdate, self).setUp()
self.user = AuthUserFactory()
self.user_two = AuthUserFactory()
self.project = ProjectFactory(creator=self.user)
self.project.add_contributor(self.user_two, permissions=[permissions.READ, permissions.WRITE], visible=True, save=True)
self.url_creator = '/{}nodes/{}/contributors/{}/'.format(API_BASE, self.project._id, self.user._id)
self.url_contributor = '/{}nodes/{}/contributors/{}/'.format(API_BASE, self.project._id, self.user_two._id)
def test_node_update_invalid_data(self):
res = self.app.put_json_api(self.url_creator, "Incorrect data", auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 400)
assert_equal(res.json['errors'][0]['detail'], "Malformed request.")
res = self.app.put_json_api(self.url_creator, ["Incorrect data"], auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 400)
assert_equal(res.json['errors'][0]['detail'], "Malformed request.")
def test_change_contributor_no_id(self):
data = {
'data': {
'type': 'contributors',
'attributes': {
'permission': permissions.ADMIN,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 400)
def test_change_contributor_correct_id(self):
contrib_id = '{}-{}'.format(self.project._id, self.user_two._id)
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'permission': permissions.ADMIN,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 200)
def test_change_contributor_incorrect_id(self):
data = {
'data': {
'id': '12345',
'type': 'contributors',
'attributes': {
'permission': permissions.ADMIN,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 409)
def test_change_contributor_no_type(self):
contrib_id = '{}-{}'.format(self.project._id, self.user_two._id)
data = {
'data': {
'id': contrib_id,
'attributes': {
'permission': permissions.ADMIN,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 400)
def test_change_contributor_incorrect_type(self):
data = {
'data': {
'id': self.user_two._id,
'type': 'Wrong type.',
'attributes': {
'permission': permissions.ADMIN,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 409)
@assert_logs(NodeLog.PERMISSIONS_UPDATED, 'project', -3)
@assert_logs(NodeLog.PERMISSIONS_UPDATED, 'project', -2)
@assert_logs(NodeLog.PERMISSIONS_UPDATED, 'project')
def test_change_contributor_permissions(self):
contrib_id = '{}-{}'.format(self.project._id, self.user_two._id)
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'permission': permissions.ADMIN,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth)
assert_equal(res.status_code, 200)
attributes = res.json['data']['attributes']
assert_equal(attributes['permission'], permissions.ADMIN)
self.project.reload()
assert_equal(self.project.get_permissions(self.user_two), [permissions.READ, permissions.WRITE, permissions.ADMIN])
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'permission': permissions.WRITE,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth)
assert_equal(res.status_code, 200)
attributes = res.json['data']['attributes']
assert_equal(attributes['permission'], permissions.WRITE)
self.project.reload()
assert_equal(self.project.get_permissions(self.user_two), [permissions.READ, permissions.WRITE])
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'permission': permissions.READ,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth)
assert_equal(res.status_code, 200)
attributes = res.json['data']['attributes']
assert_equal(attributes['permission'], permissions.READ)
self.project.reload()
assert_equal(self.project.get_permissions(self.user_two), [permissions.READ])
@assert_logs(NodeLog.MADE_CONTRIBUTOR_INVISIBLE, 'project', -2)
@assert_logs(NodeLog.MADE_CONTRIBUTOR_VISIBLE, 'project')
def test_change_contributor_bibliographic(self):
contrib_id = '{}-{}'.format(self.project._id, self.user_two._id)
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'bibliographic': False
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth)
assert_equal(res.status_code, 200)
attributes = res.json['data']['attributes']
assert_equal(attributes['bibliographic'], False)
self.project.reload()
assert_false(self.project.get_visible(self.user_two))
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth)
assert_equal(res.status_code, 200)
attributes = res.json['data']['attributes']
assert_equal(attributes['bibliographic'], True)
self.project.reload()
assert_true(self.project.get_visible(self.user_two))
@assert_logs(NodeLog.PERMISSIONS_UPDATED, 'project', -2)
@assert_logs(NodeLog.MADE_CONTRIBUTOR_INVISIBLE, 'project')
def test_change_contributor_permission_and_bibliographic(self):
contrib_id = '{}-{}'.format(self.project._id, self.user_two._id)
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'permission': permissions.READ,
'bibliographic': False
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth)
assert_equal(res.status_code, 200)
attributes = res.json['data']['attributes']
assert_equal(attributes['permission'], permissions.READ)
assert_equal(attributes['bibliographic'], False)
self.project.reload()
assert_equal(self.project.get_permissions(self.user_two), [permissions.READ])
assert_false(self.project.get_visible(self.user_two))
@assert_not_logs(NodeLog.PERMISSIONS_UPDATED, 'project')
def test_not_change_contributor(self):
contrib_id = '{}-{}'.format(self.project._id, self.user_two._id)
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'permission': None,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth)
assert_equal(res.status_code, 200)
attributes = res.json['data']['attributes']
assert_equal(attributes['permission'], permissions.WRITE)
assert_equal(attributes['bibliographic'], True)
self.project.reload()
assert_equal(self.project.get_permissions(self.user_two), [permissions.READ, permissions.WRITE])
assert_true(self.project.get_visible(self.user_two))
def test_invalid_change_inputs_contributor(self):
contrib_id = '{}-{}'.format(self.project._id, self.user_two._id)
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'permission': 'invalid',
'bibliographic': 'invalid'
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 400)
assert_equal(self.project.get_permissions(self.user_two), [permissions.READ, permissions.WRITE])
assert_true(self.project.get_visible(self.user_two))
@assert_logs(NodeLog.PERMISSIONS_UPDATED, 'project')
def test_change_admin_self_with_other_admin(self):
self.project.add_permission(self.user_two, permissions.ADMIN, save=True)
contrib_id = '{}-{}'.format(self.project._id, self.user._id)
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'permission': permissions.WRITE,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_creator, data, auth=self.user.auth)
assert_equal(res.status_code, 200)
attributes = res.json['data']['attributes']
assert_equal(attributes['permission'], permissions.WRITE)
self.project.reload()
assert_equal(self.project.get_permissions(self.user), [permissions.READ, permissions.WRITE])
def test_change_admin_self_without_other_admin(self):
contrib_id = '{}-{}'.format(self.project._id, self.user._id)
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'permission': permissions.WRITE,
'bibliographic': True
}
}
}
res = self.app.put_json_api(self.url_creator, data, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 400)
self.project.reload()
assert_equal(self.project.get_permissions(self.user), [permissions.READ, permissions.WRITE, permissions.ADMIN])
def test_remove_all_bibliographic_statuses_contributors(self):
self.project.set_visible(self.user_two, False, save=True)
contrib_id = '{}-{}'.format(self.project._id, self.user._id)
data = {
'data': {
'id': contrib_id,
'type': 'contributors',
'attributes': {
'bibliographic': False
}
}
}
res = self.app.put_json_api(self.url_creator, data, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 400)
self.project.reload()
assert_true(self.project.get_visible(self.user))
def test_change_contributor_non_admin_auth(self):
data = {
'data': {
'id': self.user_two._id,
'type': 'contributors',
'attributes': {
'permission': permissions.READ,
'bibliographic': False
}
}
}
res = self.app.put_json_api(self.url_contributor, data, auth=self.user_two.auth, expect_errors=True)
assert_equal(res.status_code, 403)
self.project.reload()
assert_equal(self.project.get_permissions(self.user_two), [permissions.READ, permissions.WRITE])
assert_true(self.project.get_visible(self.user_two))
def test_change_contributor_not_logged_in(self):
data = {
'data': {
'id': self.user_two._id,
'type': 'contributors',
'attributes': {
'permission': permissions.READ,
'bibliographic': False
}
}
}
res = self.app.put_json_api(self.url_contributor, data, expect_errors=True)
assert_equal(res.status_code, 401)
self.project.reload()
assert_equal(self.project.get_permissions(self.user_two), [permissions.READ, permissions.WRITE])
assert_true(self.project.get_visible(self.user_two))
class TestNodeContributorDelete(ApiTestCase):
def setUp(self):
super(TestNodeContributorDelete, self).setUp()
self.user = AuthUserFactory()
self.user_two = AuthUserFactory()
self.user_three = AuthUserFactory()
self.project = ProjectFactory(creator=self.user)
self.project.add_contributor(self.user_two, permissions=[permissions.READ, permissions.WRITE], visible=True, save=True)
self.url_user = '/{}nodes/{}/contributors/{}/'.format(API_BASE, self.project._id, self.user._id)
self.url_user_two = '/{}nodes/{}/contributors/{}/'.format(API_BASE, self.project._id, self.user_two._id)
self.url_user_three = '/{}nodes/{}/contributors/{}/'.format(API_BASE, self.project._id, self.user_three._id)
@assert_logs(NodeLog.CONTRIB_REMOVED, 'project')
def test_remove_contributor_admin(self):
res = self.app.delete(self.url_user_two, auth=self.user.auth)
assert_equal(res.status_code, 204)
self.project.reload()
assert_not_in(self.user_two, self.project.contributors)
def test_remove_contributor_non_admin_is_forbidden(self):
self.project.add_contributor(self.user_three, permissions=[permissions.READ, permissions.WRITE], visible=True, save=True)
res = self.app.delete(self.url_user_three, auth=self.user_two.auth, expect_errors=True)
assert_equal(res.status_code, 403)
self.project.reload()
assert_in(self.user_three, self.project.contributors)
@assert_logs(NodeLog.CONTRIB_REMOVED, 'project')
def test_remove_self_non_admin(self):
self.project.add_contributor(self.user_three, permissions=[permissions.READ, permissions.WRITE], visible=True, save=True)
res = self.app.delete(self.url_user_three, auth=self.user_three.auth)
assert_equal(res.status_code, 204)
self.project.reload()
assert_not_in(self.user_three, self.project.contributors)
def test_remove_contributor_non_contributor(self):
res = self.app.delete(self.url_user_two, auth=self.user_three.auth, expect_errors=True)
assert_equal(res.status_code, 403)
self.project.reload()
assert_in(self.user_two, self.project.contributors)
def test_remove_contributor_not_logged_in(self):
res = self.app.delete(self.url_user_two, expect_errors=True)
assert_equal(res.status_code, 401)
self.project.reload()
assert_in(self.user_two, self.project.contributors)
def test_remove_non_contributor_admin(self):
assert_not_in(self.user_three, self.project.contributors)
res = self.app.delete(self.url_user_three, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 404)
self.project.reload()
assert_not_in(self.user_three, self.project.contributors)
def test_remove_non_existing_user_admin(self):
url_user_fake = '/{}nodes/{}/contributors/{}/'.format(API_BASE, self.project._id, 'fake')
res = self.app.delete(url_user_fake, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 404)
@assert_logs(NodeLog.CONTRIB_REMOVED, 'project')
def test_remove_self_contributor_not_unique_admin(self):
self.project.add_permission(self.user_two, permissions.ADMIN, save=True)
res = self.app.delete(self.url_user, auth=self.user.auth)
assert_equal(res.status_code, 204)
self.project.reload()
assert_not_in(self.user, self.project.contributors)
@assert_logs(NodeLog.CONTRIB_REMOVED, 'project')
def test_can_remove_self_as_contributor_not_unique_admin(self):
self.project.add_permission(self.user_two, permissions.ADMIN, save=True)
res = self.app.delete(self.url_user_two, auth=self.user_two.auth)
assert_equal(res.status_code, 204)
self.project.reload()
assert_not_in(self.user_two, self.project.contributors)
def test_remove_self_contributor_unique_admin(self):
res = self.app.delete(self.url_user, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 400)
self.project.reload()
assert_in(self.user, self.project.contributors)
def test_can_not_remove_only_bibliographic_contributor(self):
self.project.add_permission(self.user_two, permissions.ADMIN, save=True)
self.project.set_visible(self.user_two, False, save=True)
res = self.app.delete(self.url_user, auth=self.user.auth, expect_errors=True)
assert_equal(res.status_code, 400)
self.project.reload()
assert_in(self.user, self.project.contributors)
| 41.49556 | 129 | 0.616428 | 2,603 | 23,362 | 5.275067 | 0.058394 | 0.065254 | 0.037652 | 0.056806 | 0.874153 | 0.844003 | 0.825359 | 0.793897 | 0.781443 | 0.744811 | 0 | 0.007879 | 0.261151 | 23,362 | 562 | 130 | 41.569395 | 0.787614 | 0.001455 | 0 | 0.608051 | 0 | 0 | 0.091833 | 0.014062 | 0 | 0 | 0 | 0 | 0.211864 | 1 | 0.082627 | false | 0 | 0.016949 | 0.002119 | 0.110169 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7c7a1a9da8e62b0027b31862442ac5b7d071fff1 | 82,379 | py | Python | packages/python/plotly/plotly/tests/test_core/test_subplots/test_make_subplots.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/tests/test_core/test_subplots/test_make_subplots.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/tests/test_core/test_subplots/test_make_subplots.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from unittest import TestCase
import pytest
from plotly.graph_objs import (
Annotation,
Annotations,
Data,
Figure,
Font,
Layout,
layout,
Scene,
XAxis,
YAxis,
)
import plotly.tools as tls
from plotly import subplots
class TestMakeSubplots(TestCase):
"""
Test plotly.tools.make_subplots in v4_subplots mode
In version 4, change this to test plotly.subplots.make_subplots directly
"""
def test_non_integer_rows(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=2.1)
def test_less_than_zero_rows(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=-2)
def test_non_integer_cols(self):
with self.assertRaises(Exception):
tls.make_subplots(cols=2 / 3)
def test_less_than_zero_cols(self):
with self.assertRaises(Exception):
tls.make_subplots(cols=-10)
def test_wrong_kwarg(self):
with self.assertRaises(Exception):
tls.make_subplots(stuff="no gonna work")
def test_start_cell_wrong_values(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=2, cols=2, start_cell="not gonna work")
def test_specs_wrong_type(self):
with self.assertRaises(Exception):
tls.make_subplots(specs="not going to work")
def test_specs_wrong_inner_type(self):
with self.assertRaises(Exception):
tls.make_subplots(specs=[{}])
def test_specs_wrong_item_type(self):
with self.assertRaises(Exception):
tls.make_subplots(specs=[[("not", "going to work")]])
def test_specs_wrong_item_key(self):
with self.assertRaises(Exception):
tls.make_subplots(specs=[{"not": "going to work"}])
def test_specs_underspecified(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=2, specs=[{}])
tls.make_subplots(rows=2, cols=2, specs=[[{}, {}], [{}]])
def test_specs_overspecified(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=2, specs=[[{}], [{}], [{}]])
tls.make_subplots(cols=2, specs=[{}, {}, {}])
def test_specs_colspan_too_big(self):
with self.assertRaises(Exception):
tls.make_subplots(cols=3, specs=[[{}, None, {"colspan": 2}]])
def test_specs_rowspan_too_big(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=3, specs=[[{}], [None], [{"rowspan": 2}]])
def test_insets_wrong_type(self):
with self.assertRaises(Exception):
tls.make_subplots(insets="not going to work")
def test_insets_wrong_item(self):
with self.assertRaises(Exception):
tls.make_subplots(insets=[{"not": "going to work"}])
def test_insets_wrong_cell_row(self):
with self.assertRaises(Exception):
tls.make_subplots(insets=([{"cell": (0, 1)}]))
def test_insets_wrong_cell_col(self):
with self.assertRaises(Exception):
tls.make_subplots(insets=([{"cell": (1, 0)}]))
def test_column_width_not_list(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=2, cols=2, column_widths="not gonna work")
def test_column_width_not_list_of_correct_numbers(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=2, cols=2, column_widths=[0])
def test_row_width_not_list(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=2, cols=2, row_heights="not gonna work")
def test_row_width_not_list_of_correct_numbers(self):
with self.assertRaises(Exception):
tls.make_subplots(rows=2, cols=2, row_heights=[1])
def test_single_plot(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 1.0], anchor="y"),
yaxis1=YAxis(domain=[0.0, 1.0], anchor="x"),
),
)
self.assertEqual(
tls.make_subplots().to_plotly_json(), expected.to_plotly_json()
)
def test_two_row(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 1.0], anchor="y"),
xaxis2=XAxis(domain=[0.0, 1.0], anchor="y2"),
yaxis1=YAxis(domain=[0.575, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.0, 0.425], anchor="x2"),
),
)
self.assertEqual(
tls.make_subplots(rows=2).to_plotly_json(), expected.to_plotly_json()
)
def test_two_row_bottom_left(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=layout.XAxis(domain=[0.0, 1.0], anchor="y"),
xaxis2=layout.XAxis(domain=[0.0, 1.0], anchor="y2"),
yaxis1=layout.YAxis(domain=[0.0, 0.425], anchor="x"),
yaxis2=layout.YAxis(domain=[0.575, 1.0], anchor="x2"),
),
)
fig = tls.make_subplots(rows=2, start_cell="bottom-left")
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_two_column(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.45], anchor="y"),
xaxis2=XAxis(domain=[0.55, 1.0], anchor="y2"),
yaxis1=YAxis(domain=[0.0, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.0, 1.0], anchor="x2"),
),
)
self.assertEqual(
tls.make_subplots(cols=2).to_plotly_json(), expected.to_plotly_json()
)
def test_a_lot(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.1183673469387755], anchor="y"),
xaxis10=XAxis(
domain=[0.29387755102040813, 0.4122448979591836], anchor="y10"
),
xaxis11=XAxis(
domain=[0.4408163265306122, 0.5591836734693877], anchor="y11"
),
xaxis12=XAxis(
domain=[0.5877551020408163, 0.7061224489795918], anchor="y12"
),
xaxis13=XAxis(
domain=[0.7346938775510204, 0.8530612244897959], anchor="y13"
),
xaxis14=XAxis(
domain=[0.8816326530612244, 0.9999999999999999], anchor="y14"
),
xaxis15=XAxis(domain=[0.0, 0.1183673469387755], anchor="y15"),
xaxis16=XAxis(
domain=[0.14693877551020407, 0.26530612244897955], anchor="y16"
),
xaxis17=XAxis(
domain=[0.29387755102040813, 0.4122448979591836], anchor="y17"
),
xaxis18=XAxis(
domain=[0.4408163265306122, 0.5591836734693877], anchor="y18"
),
xaxis19=XAxis(
domain=[0.5877551020408163, 0.7061224489795918], anchor="y19"
),
xaxis2=XAxis(
domain=[0.14693877551020407, 0.26530612244897955], anchor="y2"
),
xaxis20=XAxis(
domain=[0.7346938775510204, 0.8530612244897959], anchor="y20"
),
xaxis21=XAxis(
domain=[0.8816326530612244, 0.9999999999999999], anchor="y21"
),
xaxis22=XAxis(domain=[0.0, 0.1183673469387755], anchor="y22"),
xaxis23=XAxis(
domain=[0.14693877551020407, 0.26530612244897955], anchor="y23"
),
xaxis24=XAxis(
domain=[0.29387755102040813, 0.4122448979591836], anchor="y24"
),
xaxis25=XAxis(
domain=[0.4408163265306122, 0.5591836734693877], anchor="y25"
),
xaxis26=XAxis(
domain=[0.5877551020408163, 0.7061224489795918], anchor="y26"
),
xaxis27=XAxis(
domain=[0.7346938775510204, 0.8530612244897959], anchor="y27"
),
xaxis28=XAxis(
domain=[0.8816326530612244, 0.9999999999999999], anchor="y28"
),
xaxis3=XAxis(
domain=[0.29387755102040813, 0.4122448979591836], anchor="y3"
),
xaxis4=XAxis(
domain=[0.4408163265306122, 0.5591836734693877], anchor="y4"
),
xaxis5=XAxis(
domain=[0.5877551020408163, 0.7061224489795918], anchor="y5"
),
xaxis6=XAxis(
domain=[0.7346938775510204, 0.8530612244897959], anchor="y6"
),
xaxis7=XAxis(
domain=[0.8816326530612244, 0.9999999999999999], anchor="y7"
),
xaxis8=XAxis(domain=[0.0, 0.1183673469387755], anchor="y8"),
xaxis9=XAxis(
domain=[0.14693877551020407, 0.26530612244897955], anchor="y9"
),
yaxis1=YAxis(domain=[0.80625, 1.0], anchor="x"),
yaxis10=YAxis(domain=[0.5375, 0.73125], anchor="x10"),
yaxis11=YAxis(domain=[0.5375, 0.73125], anchor="x11"),
yaxis12=YAxis(domain=[0.5375, 0.73125], anchor="x12"),
yaxis13=YAxis(domain=[0.5375, 0.73125], anchor="x13"),
yaxis14=YAxis(domain=[0.5375, 0.73125], anchor="x14"),
yaxis15=YAxis(domain=[0.26875, 0.4625], anchor="x15"),
yaxis16=YAxis(domain=[0.26875, 0.4625], anchor="x16"),
yaxis17=YAxis(domain=[0.26875, 0.4625], anchor="x17"),
yaxis18=YAxis(domain=[0.26875, 0.4625], anchor="x18"),
yaxis19=YAxis(domain=[0.26875, 0.4625], anchor="x19"),
yaxis2=YAxis(domain=[0.80625, 1.0], anchor="x2"),
yaxis20=YAxis(domain=[0.26875, 0.4625], anchor="x20"),
yaxis21=YAxis(domain=[0.26875, 0.4625], anchor="x21"),
yaxis22=YAxis(domain=[0.0, 0.19375], anchor="x22"),
yaxis23=YAxis(domain=[0.0, 0.19375], anchor="x23"),
yaxis24=YAxis(domain=[0.0, 0.19375], anchor="x24"),
yaxis25=YAxis(domain=[0.0, 0.19375], anchor="x25"),
yaxis26=YAxis(domain=[0.0, 0.19375], anchor="x26"),
yaxis27=YAxis(domain=[0.0, 0.19375], anchor="x27"),
yaxis28=YAxis(domain=[0.0, 0.19375], anchor="x28"),
yaxis3=YAxis(domain=[0.80625, 1.0], anchor="x3"),
yaxis4=YAxis(domain=[0.80625, 1.0], anchor="x4"),
yaxis5=YAxis(domain=[0.80625, 1.0], anchor="x5"),
yaxis6=YAxis(domain=[0.80625, 1.0], anchor="x6"),
yaxis7=YAxis(domain=[0.80625, 1.0], anchor="x7"),
yaxis8=YAxis(domain=[0.5375, 0.73125], anchor="x8"),
yaxis9=YAxis(domain=[0.5375, 0.73125], anchor="x9"),
),
)
fig = tls.make_subplots(rows=4, cols=7)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_a_lot_bottom_left(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.1183673469387755], anchor="y"),
xaxis10=XAxis(
domain=[0.29387755102040813, 0.4122448979591836], anchor="y10"
),
xaxis11=XAxis(
domain=[0.4408163265306122, 0.5591836734693877], anchor="y11"
),
xaxis12=XAxis(
domain=[0.5877551020408163, 0.7061224489795918], anchor="y12"
),
xaxis13=XAxis(
domain=[0.7346938775510204, 0.8530612244897959], anchor="y13"
),
xaxis14=XAxis(
domain=[0.8816326530612244, 0.9999999999999999], anchor="y14"
),
xaxis15=XAxis(domain=[0.0, 0.1183673469387755], anchor="y15"),
xaxis16=XAxis(
domain=[0.14693877551020407, 0.26530612244897955], anchor="y16"
),
xaxis17=XAxis(
domain=[0.29387755102040813, 0.4122448979591836], anchor="y17"
),
xaxis18=XAxis(
domain=[0.4408163265306122, 0.5591836734693877], anchor="y18"
),
xaxis19=XAxis(
domain=[0.5877551020408163, 0.7061224489795918], anchor="y19"
),
xaxis2=XAxis(
domain=[0.14693877551020407, 0.26530612244897955], anchor="y2"
),
xaxis20=XAxis(
domain=[0.7346938775510204, 0.8530612244897959], anchor="y20"
),
xaxis21=XAxis(
domain=[0.8816326530612244, 0.9999999999999999], anchor="y21"
),
xaxis22=XAxis(domain=[0.0, 0.1183673469387755], anchor="y22"),
xaxis23=XAxis(
domain=[0.14693877551020407, 0.26530612244897955], anchor="y23"
),
xaxis24=XAxis(
domain=[0.29387755102040813, 0.4122448979591836], anchor="y24"
),
xaxis25=XAxis(
domain=[0.4408163265306122, 0.5591836734693877], anchor="y25"
),
xaxis26=XAxis(
domain=[0.5877551020408163, 0.7061224489795918], anchor="y26"
),
xaxis27=XAxis(
domain=[0.7346938775510204, 0.8530612244897959], anchor="y27"
),
xaxis28=XAxis(
domain=[0.8816326530612244, 0.9999999999999999], anchor="y28"
),
xaxis3=XAxis(
domain=[0.29387755102040813, 0.4122448979591836], anchor="y3"
),
xaxis4=XAxis(
domain=[0.4408163265306122, 0.5591836734693877], anchor="y4"
),
xaxis5=XAxis(
domain=[0.5877551020408163, 0.7061224489795918], anchor="y5"
),
xaxis6=XAxis(
domain=[0.7346938775510204, 0.8530612244897959], anchor="y6"
),
xaxis7=XAxis(
domain=[0.8816326530612244, 0.9999999999999999], anchor="y7"
),
xaxis8=XAxis(domain=[0.0, 0.1183673469387755], anchor="y8"),
xaxis9=XAxis(
domain=[0.14693877551020407, 0.26530612244897955], anchor="y9"
),
yaxis1=YAxis(domain=[0.0, 0.19375], anchor="x"),
yaxis10=YAxis(domain=[0.26875, 0.4625], anchor="x10"),
yaxis11=YAxis(domain=[0.26875, 0.4625], anchor="x11"),
yaxis12=YAxis(domain=[0.26875, 0.4625], anchor="x12"),
yaxis13=YAxis(domain=[0.26875, 0.4625], anchor="x13"),
yaxis14=YAxis(domain=[0.26875, 0.4625], anchor="x14"),
yaxis15=YAxis(domain=[0.5375, 0.73125], anchor="x15"),
yaxis16=YAxis(domain=[0.5375, 0.73125], anchor="x16"),
yaxis17=YAxis(domain=[0.5375, 0.73125], anchor="x17"),
yaxis18=YAxis(domain=[0.5375, 0.73125], anchor="x18"),
yaxis19=YAxis(domain=[0.5375, 0.73125], anchor="x19"),
yaxis2=YAxis(domain=[0.0, 0.19375], anchor="x2"),
yaxis20=YAxis(domain=[0.5375, 0.73125], anchor="x20"),
yaxis21=YAxis(domain=[0.5375, 0.73125], anchor="x21"),
yaxis22=YAxis(domain=[0.80625, 1.0], anchor="x22"),
yaxis23=YAxis(domain=[0.80625, 1.0], anchor="x23"),
yaxis24=YAxis(domain=[0.80625, 1.0], anchor="x24"),
yaxis25=YAxis(domain=[0.80625, 1.0], anchor="x25"),
yaxis26=YAxis(domain=[0.80625, 1.0], anchor="x26"),
yaxis27=YAxis(domain=[0.80625, 1.0], anchor="x27"),
yaxis28=YAxis(domain=[0.80625, 1.0], anchor="x28"),
yaxis3=YAxis(domain=[0.0, 0.19375], anchor="x3"),
yaxis4=YAxis(domain=[0.0, 0.19375], anchor="x4"),
yaxis5=YAxis(domain=[0.0, 0.19375], anchor="x5"),
yaxis6=YAxis(domain=[0.0, 0.19375], anchor="x6"),
yaxis7=YAxis(domain=[0.0, 0.19375], anchor="x7"),
yaxis8=YAxis(domain=[0.26875, 0.4625], anchor="x8"),
yaxis9=YAxis(domain=[0.26875, 0.4625], anchor="x9"),
),
)
fig = tls.make_subplots(rows=4, cols=7, start_cell="bottom-left")
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_spacing(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.3], anchor="y"),
xaxis2=XAxis(domain=[0.35, 0.6499999999999999], anchor="y2"),
xaxis3=XAxis(domain=[0.7, 1.0], anchor="y3"),
xaxis4=XAxis(domain=[0.0, 0.3], anchor="y4"),
xaxis5=XAxis(domain=[0.35, 0.6499999999999999], anchor="y5"),
xaxis6=XAxis(domain=[0.7, 1.0], anchor="y6"),
yaxis1=YAxis(domain=[0.55, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.55, 1.0], anchor="x2"),
yaxis3=YAxis(domain=[0.55, 1.0], anchor="x3"),
yaxis4=YAxis(domain=[0.0, 0.45], anchor="x4"),
yaxis5=YAxis(domain=[0.0, 0.45], anchor="x5"),
yaxis6=YAxis(domain=[0.0, 0.45], anchor="x6"),
),
)
fig = tls.make_subplots(
rows=2, cols=3, horizontal_spacing=0.05, vertical_spacing=0.1
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.2888888888888889], anchor="y"),
xaxis2=XAxis(domain=[0.0, 0.2888888888888889], anchor="y2"),
xaxis3=XAxis(
domain=[0.35555555555555557, 0.6444444444444445], anchor="y3"
),
xaxis4=XAxis(domain=[0.7111111111111111, 1.0], anchor="y4"),
yaxis1=YAxis(domain=[0.575, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.0, 0.425], anchor="x2"),
yaxis3=YAxis(domain=[0.0, 0.425], anchor="x3"),
yaxis4=YAxis(domain=[0.0, 0.425], anchor="x4"),
),
)
fig = tls.make_subplots(rows=2, cols=3, specs=[[{}, None, None], [{}, {}, {}]])
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs_bottom_left(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.2888888888888889], anchor="y"),
xaxis2=XAxis(domain=[0.0, 0.2888888888888889], anchor="y2"),
xaxis3=XAxis(
domain=[0.35555555555555557, 0.6444444444444445], anchor="y3"
),
xaxis4=XAxis(domain=[0.7111111111111111, 1.0], anchor="y4"),
yaxis1=YAxis(domain=[0.0, 0.425], anchor="x"),
yaxis2=YAxis(domain=[0.575, 1.0], anchor="x2"),
yaxis3=YAxis(domain=[0.575, 1.0], anchor="x3"),
yaxis4=YAxis(domain=[0.575, 1.0], anchor="x4"),
),
)
fig = tls.make_subplots(
rows=2,
cols=3,
specs=[[{}, None, None], [{}, {}, {}]],
start_cell="bottom-left",
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs_colspan(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 1.0], anchor="y"),
xaxis2=XAxis(domain=[0.0, 0.45], anchor="y2"),
xaxis3=XAxis(domain=[0.55, 1.0], anchor="y3"),
xaxis4=XAxis(domain=[0.0, 0.45], anchor="y4"),
xaxis5=XAxis(domain=[0.55, 1.0], anchor="y5"),
yaxis1=YAxis(domain=[0.7333333333333333, 1.0], anchor="x"),
yaxis2=YAxis(
domain=[0.36666666666666664, 0.6333333333333333], anchor="x2"
),
yaxis3=YAxis(
domain=[0.36666666666666664, 0.6333333333333333], anchor="x3"
),
yaxis4=YAxis(domain=[0.0, 0.26666666666666666], anchor="x4"),
yaxis5=YAxis(domain=[0.0, 0.26666666666666666], anchor="x5"),
),
)
fig = tls.make_subplots(
rows=3, cols=2, specs=[[{"colspan": 2}, None], [{}, {}], [{}, {}]]
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs_rowspan(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.2888888888888889], anchor="y"),
xaxis2=XAxis(
domain=[0.35555555555555557, 0.6444444444444445], anchor="y2"
),
xaxis3=XAxis(domain=[0.7111111111111111, 1.0], anchor="y3"),
xaxis4=XAxis(
domain=[0.35555555555555557, 0.6444444444444445], anchor="y4"
),
xaxis5=XAxis(domain=[0.7111111111111111, 1.0], anchor="y5"),
xaxis6=XAxis(domain=[0.35555555555555557, 1.0], anchor="y6"),
yaxis1=YAxis(domain=[0.0, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.7333333333333333, 1.0], anchor="x2"),
yaxis3=YAxis(domain=[0.7333333333333333, 1.0], anchor="x3"),
yaxis4=YAxis(
domain=[0.36666666666666664, 0.6333333333333333], anchor="x4"
),
yaxis5=YAxis(
domain=[0.36666666666666664, 0.6333333333333333], anchor="x5"
),
yaxis6=YAxis(domain=[0.0, 0.26666666666666666], anchor="x6"),
),
)
fig = tls.make_subplots(
rows=3,
cols=3,
specs=[
[{"rowspan": 3}, {}, {}],
[None, {}, {}],
[None, {"colspan": 2}, None],
],
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs_rowspan2(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.2888888888888889], anchor="y"),
xaxis2=XAxis(
domain=[0.35555555555555557, 0.6444444444444445], anchor="y2"
),
xaxis3=XAxis(domain=[0.7111111111111111, 1.0], anchor="y3"),
xaxis4=XAxis(domain=[0.0, 0.6444444444444445], anchor="y4"),
xaxis5=XAxis(domain=[0.0, 1.0], anchor="y5"),
yaxis1=YAxis(domain=[0.7333333333333333, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.7333333333333333, 1.0], anchor="x2"),
yaxis3=YAxis(domain=[0.36666666666666664, 1.0], anchor="x3"),
yaxis4=YAxis(
domain=[0.36666666666666664, 0.6333333333333333], anchor="x4"
),
yaxis5=YAxis(domain=[0.0, 0.26666666666666666], anchor="x5"),
),
)
fig = tls.make_subplots(
rows=3,
cols=3,
specs=[
[{}, {}, {"rowspan": 2}],
[{"colspan": 2}, None, None],
[{"colspan": 3}, None, None],
],
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs_colspan_rowpan(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.6444444444444445], anchor="y"),
xaxis2=XAxis(domain=[0.7111111111111111, 1.0], anchor="y2"),
xaxis3=XAxis(domain=[0.7111111111111111, 1.0], anchor="y3"),
xaxis4=XAxis(domain=[0.0, 0.2888888888888889], anchor="y4"),
xaxis5=XAxis(
domain=[0.35555555555555557, 0.6444444444444445], anchor="y5"
),
xaxis6=XAxis(domain=[0.7111111111111111, 1.0], anchor="y6"),
yaxis1=YAxis(domain=[0.36666666666666664, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.7333333333333333, 1.0], anchor="x2"),
yaxis3=YAxis(
domain=[0.36666666666666664, 0.6333333333333333], anchor="x3"
),
yaxis4=YAxis(domain=[0.0, 0.26666666666666666], anchor="x4"),
yaxis5=YAxis(domain=[0.0, 0.26666666666666666], anchor="x5"),
yaxis6=YAxis(domain=[0.0, 0.26666666666666666], anchor="x6"),
),
)
fig = tls.make_subplots(
rows=3,
cols=3,
specs=[
[{"colspan": 2, "rowspan": 2}, None, {}],
[None, None, {}],
[{}, {}, {}],
],
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs_colspan_rowpan_bottom_left(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.6444444444444445], anchor="y"),
xaxis2=XAxis(domain=[0.7111111111111111, 1.0], anchor="y2"),
xaxis3=XAxis(domain=[0.7111111111111111, 1.0], anchor="y3"),
xaxis4=XAxis(domain=[0.0, 0.2888888888888889], anchor="y4"),
xaxis5=XAxis(
domain=[0.35555555555555557, 0.6444444444444445], anchor="y5"
),
xaxis6=XAxis(domain=[0.7111111111111111, 1.0], anchor="y6"),
yaxis1=YAxis(domain=[0.0, 0.6333333333333333], anchor="x"),
yaxis2=YAxis(domain=[0.0, 0.26666666666666666], anchor="x2"),
yaxis3=YAxis(
domain=[0.36666666666666664, 0.6333333333333333], anchor="x3"
),
yaxis4=YAxis(domain=[0.7333333333333333, 1.0], anchor="x4"),
yaxis5=YAxis(domain=[0.7333333333333333, 1.0], anchor="x5"),
yaxis6=YAxis(domain=[0.7333333333333333, 1.0], anchor="x6"),
),
)
fig = tls.make_subplots(
rows=3,
cols=3,
specs=[
[{"colspan": 2, "rowspan": 2}, None, {}],
[None, None, {}],
[{}, {}, {}],
],
start_cell="bottom-left",
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs_is_3d(self):
expected = Figure(
data=Data(),
layout=Layout(
scene=Scene(domain={"y": [0.575, 1.0], "x": [0.0, 0.45]}),
scene2=Scene(domain={"y": [0.0, 0.425], "x": [0.0, 0.45]}),
xaxis1=XAxis(domain=[0.55, 1.0], anchor="y"),
xaxis2=XAxis(domain=[0.55, 1.0], anchor="y2"),
yaxis1=YAxis(domain=[0.575, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.0, 0.425], anchor="x2"),
),
)
fig = tls.make_subplots(
rows=2, cols=2, specs=[[{"is_3d": True}, {}], [{"is_3d": True}, {}]]
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs_padding(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.1, 0.5], anchor="y"),
xaxis2=XAxis(domain=[0.5, 1.0], anchor="y2"),
xaxis3=XAxis(domain=[0.0, 0.5], anchor="y3"),
xaxis4=XAxis(domain=[0.5, 0.9], anchor="y4"),
yaxis1=YAxis(domain=[0.5, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.7, 1.0], anchor="x2"),
yaxis3=YAxis(domain=[0.0, 0.3], anchor="x3"),
yaxis4=YAxis(domain=[0.0, 0.5], anchor="x4"),
),
)
fig = tls.make_subplots(
rows=2,
cols=2,
horizontal_spacing=0,
vertical_spacing=0,
specs=[[{"l": 0.1}, {"b": 0.2}], [{"t": 0.2}, {"r": 0.1}]],
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_specs_padding_bottom_left(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.1, 0.5], anchor="y"),
xaxis2=XAxis(domain=[0.5, 1.0], anchor="y2"),
xaxis3=XAxis(domain=[0.0, 0.5], anchor="y3"),
xaxis4=XAxis(domain=[0.5, 0.9], anchor="y4"),
yaxis1=YAxis(domain=[0.0, 0.5], anchor="x"),
yaxis2=YAxis(domain=[0.2, 0.5], anchor="x2"),
yaxis3=YAxis(domain=[0.5, 0.8], anchor="x3"),
yaxis4=YAxis(domain=[0.5, 1.0], anchor="x4"),
),
)
fig = tls.make_subplots(
rows=2,
cols=2,
horizontal_spacing=0,
vertical_spacing=0,
specs=[[{"l": 0.1}, {"b": 0.2}], [{"t": 0.2}, {"r": 0.1}]],
start_cell="bottom-left",
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_shared_xaxes(self):
expected = Figure(
data=Data(),
layout={
"xaxis": {
"anchor": "y",
"domain": [0.0, 0.2888888888888889],
"matches": "x4",
"showticklabels": False,
},
"xaxis2": {
"anchor": "y2",
"domain": [0.35555555555555557, 0.6444444444444445],
"matches": "x5",
"showticklabels": False,
},
"xaxis3": {
"anchor": "y3",
"domain": [0.7111111111111111, 1.0],
"matches": "x6",
"showticklabels": False,
},
"xaxis4": {"anchor": "y4", "domain": [0.0, 0.2888888888888889]},
"xaxis5": {
"anchor": "y5",
"domain": [0.35555555555555557, 0.6444444444444445],
},
"xaxis6": {"anchor": "y6", "domain": [0.7111111111111111, 1.0]},
"yaxis": {"anchor": "x", "domain": [0.575, 1.0]},
"yaxis2": {"anchor": "x2", "domain": [0.575, 1.0]},
"yaxis3": {"anchor": "x3", "domain": [0.575, 1.0]},
"yaxis4": {"anchor": "x4", "domain": [0.0, 0.425]},
"yaxis5": {"anchor": "x5", "domain": [0.0, 0.425]},
"yaxis6": {"anchor": "x6", "domain": [0.0, 0.425]},
},
)
fig = tls.make_subplots(rows=2, cols=3, shared_xaxes=True)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_shared_xaxes_bottom_left(self):
expected = Figure(
data=Data(),
layout={
"xaxis": {"anchor": "y", "domain": [0.0, 0.2888888888888889]},
"xaxis2": {
"anchor": "y2",
"domain": [0.35555555555555557, 0.6444444444444445],
},
"xaxis3": {"anchor": "y3", "domain": [0.7111111111111111, 1.0]},
"xaxis4": {
"anchor": "y4",
"domain": [0.0, 0.2888888888888889],
"matches": "x",
"showticklabels": False,
},
"xaxis5": {
"anchor": "y5",
"domain": [0.35555555555555557, 0.6444444444444445],
"matches": "x2",
"showticklabels": False,
},
"xaxis6": {
"anchor": "y6",
"domain": [0.7111111111111111, 1.0],
"matches": "x3",
"showticklabels": False,
},
"yaxis": {"anchor": "x", "domain": [0.0, 0.425]},
"yaxis2": {"anchor": "x2", "domain": [0.0, 0.425]},
"yaxis3": {"anchor": "x3", "domain": [0.0, 0.425]},
"yaxis4": {"anchor": "x4", "domain": [0.575, 1.0]},
"yaxis5": {"anchor": "x5", "domain": [0.575, 1.0]},
"yaxis6": {"anchor": "x6", "domain": [0.575, 1.0]},
},
)
fig = tls.make_subplots(
rows=2, cols=3, shared_xaxes=True, start_cell="bottom-left"
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_shared_yaxes(self):
expected = Figure(
data=Data(),
layout={
"xaxis": {"anchor": "y", "domain": [0.0, 0.45]},
"xaxis10": {"anchor": "y10", "domain": [0.55, 1.0]},
"xaxis2": {"anchor": "y2", "domain": [0.55, 1.0]},
"xaxis3": {"anchor": "y3", "domain": [0.0, 0.45]},
"xaxis4": {"anchor": "y4", "domain": [0.55, 1.0]},
"xaxis5": {"anchor": "y5", "domain": [0.0, 0.45]},
"xaxis6": {"anchor": "y6", "domain": [0.55, 1.0]},
"xaxis7": {"anchor": "y7", "domain": [0.0, 0.45]},
"xaxis8": {"anchor": "y8", "domain": [0.55, 1.0]},
"xaxis9": {"anchor": "y9", "domain": [0.0, 0.45]},
"yaxis": {"anchor": "x", "domain": [0.848, 1.0]},
"yaxis10": {
"anchor": "x10",
"domain": [0.0, 0.152],
"matches": "y9",
"showticklabels": False,
},
"yaxis2": {
"anchor": "x2",
"domain": [0.848, 1.0],
"matches": "y",
"showticklabels": False,
},
"yaxis3": {
"anchor": "x3",
"domain": [0.6359999999999999, 0.7879999999999999],
},
"yaxis4": {
"anchor": "x4",
"domain": [0.6359999999999999, 0.7879999999999999],
"matches": "y3",
"showticklabels": False,
},
"yaxis5": {"anchor": "x5", "domain": [0.424, 0.576]},
"yaxis6": {
"anchor": "x6",
"domain": [0.424, 0.576],
"matches": "y5",
"showticklabels": False,
},
"yaxis7": {"anchor": "x7", "domain": [0.212, 0.364]},
"yaxis8": {
"anchor": "x8",
"domain": [0.212, 0.364],
"matches": "y7",
"showticklabels": False,
},
"yaxis9": {"anchor": "x9", "domain": [0.0, 0.152]},
},
)
fig = tls.make_subplots(rows=5, cols=2, shared_yaxes=True)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_shared_xaxes_yaxes(self):
expected = Figure(
data=Data(),
layout={
"xaxis": {
"anchor": "y",
"domain": [0.0, 0.2888888888888889],
"matches": "x7",
"showticklabels": False,
},
"xaxis2": {
"anchor": "y2",
"domain": [0.35555555555555557, 0.6444444444444445],
"matches": "x8",
"showticklabels": False,
},
"xaxis3": {
"anchor": "y3",
"domain": [0.7111111111111111, 1.0],
"matches": "x9",
"showticklabels": False,
},
"xaxis4": {
"anchor": "y4",
"domain": [0.0, 0.2888888888888889],
"matches": "x7",
"showticklabels": False,
},
"xaxis5": {
"anchor": "y5",
"domain": [0.35555555555555557, 0.6444444444444445],
"matches": "x8",
"showticklabels": False,
},
"xaxis6": {
"anchor": "y6",
"domain": [0.7111111111111111, 1.0],
"matches": "x9",
"showticklabels": False,
},
"xaxis7": {"anchor": "y7", "domain": [0.0, 0.2888888888888889]},
"xaxis8": {
"anchor": "y8",
"domain": [0.35555555555555557, 0.6444444444444445],
},
"xaxis9": {"anchor": "y9", "domain": [0.7111111111111111, 1.0]},
"yaxis": {"anchor": "x", "domain": [0.7333333333333333, 1.0]},
"yaxis2": {
"anchor": "x2",
"domain": [0.7333333333333333, 1.0],
"matches": "y",
"showticklabels": False,
},
"yaxis3": {
"anchor": "x3",
"domain": [0.7333333333333333, 1.0],
"matches": "y",
"showticklabels": False,
},
"yaxis4": {
"anchor": "x4",
"domain": [0.36666666666666664, 0.6333333333333333],
},
"yaxis5": {
"anchor": "x5",
"domain": [0.36666666666666664, 0.6333333333333333],
"matches": "y4",
"showticklabels": False,
},
"yaxis6": {
"anchor": "x6",
"domain": [0.36666666666666664, 0.6333333333333333],
"matches": "y4",
"showticklabels": False,
},
"yaxis7": {"anchor": "x7", "domain": [0.0, 0.26666666666666666]},
"yaxis8": {
"anchor": "x8",
"domain": [0.0, 0.26666666666666666],
"matches": "y7",
"showticklabels": False,
},
"yaxis9": {
"anchor": "x9",
"domain": [0.0, 0.26666666666666666],
"matches": "y7",
"showticklabels": False,
},
},
)
fig = tls.make_subplots(rows=3, cols=3, shared_xaxes=True, shared_yaxes=True)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_shared_xaxes_yaxes_bottom_left(self):
expected = Figure(
data=Data(),
layout={
"xaxis": {"anchor": "y", "domain": [0.0, 0.2888888888888889]},
"xaxis2": {
"anchor": "y2",
"domain": [0.35555555555555557, 0.6444444444444445],
},
"xaxis3": {"anchor": "y3", "domain": [0.7111111111111111, 1.0]},
"xaxis4": {
"anchor": "y4",
"domain": [0.0, 0.2888888888888889],
"matches": "x",
"showticklabels": False,
},
"xaxis5": {
"anchor": "y5",
"domain": [0.35555555555555557, 0.6444444444444445],
"matches": "x2",
"showticklabels": False,
},
"xaxis6": {
"anchor": "y6",
"domain": [0.7111111111111111, 1.0],
"matches": "x3",
"showticklabels": False,
},
"xaxis7": {
"anchor": "y7",
"domain": [0.0, 0.2888888888888889],
"matches": "x",
"showticklabels": False,
},
"xaxis8": {
"anchor": "y8",
"domain": [0.35555555555555557, 0.6444444444444445],
"matches": "x2",
"showticklabels": False,
},
"xaxis9": {
"anchor": "y9",
"domain": [0.7111111111111111, 1.0],
"matches": "x3",
"showticklabels": False,
},
"yaxis": {"anchor": "x", "domain": [0.0, 0.26666666666666666]},
"yaxis2": {
"anchor": "x2",
"domain": [0.0, 0.26666666666666666],
"matches": "y",
"showticklabels": False,
},
"yaxis3": {
"anchor": "x3",
"domain": [0.0, 0.26666666666666666],
"matches": "y",
"showticklabels": False,
},
"yaxis4": {
"anchor": "x4",
"domain": [0.36666666666666664, 0.6333333333333333],
},
"yaxis5": {
"anchor": "x5",
"domain": [0.36666666666666664, 0.6333333333333333],
"matches": "y4",
"showticklabels": False,
},
"yaxis6": {
"anchor": "x6",
"domain": [0.36666666666666664, 0.6333333333333333],
"matches": "y4",
"showticklabels": False,
},
"yaxis7": {"anchor": "x7", "domain": [0.7333333333333333, 1.0]},
"yaxis8": {
"anchor": "x8",
"domain": [0.7333333333333333, 1.0],
"matches": "y7",
"showticklabels": False,
},
"yaxis9": {
"anchor": "x9",
"domain": [0.7333333333333333, 1.0],
"matches": "y7",
"showticklabels": False,
},
},
)
fig = tls.make_subplots(
rows=3,
cols=3,
shared_xaxes=True,
shared_yaxes=True,
start_cell="bottom-left",
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_insets(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.45], anchor="y"),
xaxis2=XAxis(domain=[0.55, 1.0], anchor="y2"),
xaxis3=XAxis(domain=[0.0, 0.45], anchor="y3"),
xaxis4=XAxis(domain=[0.55, 1.0], anchor="y4"),
xaxis5=XAxis(domain=[0.865, 0.955], anchor="y5"),
yaxis1=YAxis(domain=[0.575, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.575, 1.0], anchor="x2"),
yaxis3=YAxis(domain=[0.0, 0.425], anchor="x3"),
yaxis4=YAxis(domain=[0.0, 0.425], anchor="x4"),
yaxis5=YAxis(domain=[0.085, 0.2975], anchor="x5"),
),
)
fig = tls.make_subplots(
rows=2,
cols=2,
insets=[{"cell": (2, 2), "l": 0.7, "w": 0.2, "b": 0.2, "h": 0.5}],
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_insets_bottom_left(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 0.45], anchor="y"),
xaxis2=XAxis(domain=[0.55, 1.0], anchor="y2"),
xaxis3=XAxis(domain=[0.0, 0.45], anchor="y3"),
xaxis4=XAxis(domain=[0.55, 1.0], anchor="y4"),
xaxis5=XAxis(domain=[0.865, 0.955], anchor="y5"),
yaxis1=YAxis(domain=[0.0, 0.425], anchor="x"),
yaxis2=YAxis(domain=[0.0, 0.425], anchor="x2"),
yaxis3=YAxis(domain=[0.575, 1.0], anchor="x3"),
yaxis4=YAxis(domain=[0.575, 1.0], anchor="x4"),
yaxis5=YAxis(
domain=[0.6599999999999999, 0.8724999999999999], anchor="x5"
),
),
)
fig = tls.make_subplots(
rows=2,
cols=2,
insets=[{"cell": (2, 2), "l": 0.7, "w": 0.2, "b": 0.2, "h": 0.5}],
start_cell="bottom-left",
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_insets_multiple(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 1.0], anchor="y"),
xaxis2=XAxis(domain=[0.0, 1.0], anchor="y2"),
xaxis3=XAxis(domain=[0.8, 1.0], anchor="y3"),
xaxis4=XAxis(domain=[0.8, 1.0], anchor="y4"),
yaxis1=YAxis(domain=[0.575, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.0, 0.425], anchor="x2"),
yaxis3=YAxis(domain=[0.575, 1.0], anchor="x3"),
yaxis4=YAxis(domain=[0.0, 0.425], anchor="x4"),
),
)
fig = tls.make_subplots(
rows=2, insets=[{"cell": (1, 1), "l": 0.8}, {"cell": (2, 1), "l": 0.8}]
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_insets_multiple_bottom_left(self):
expected = Figure(
data=Data(),
layout=Layout(
xaxis1=XAxis(domain=[0.0, 1.0], anchor="y"),
xaxis2=XAxis(domain=[0.0, 1.0], anchor="y2"),
xaxis3=XAxis(domain=[0.8, 1.0], anchor="y3"),
xaxis4=XAxis(domain=[0.8, 1.0], anchor="y4"),
yaxis1=YAxis(domain=[0.0, 0.425], anchor="x"),
yaxis2=YAxis(domain=[0.575, 1.0], anchor="x2"),
yaxis3=YAxis(domain=[0.0, 0.425], anchor="x3"),
yaxis4=YAxis(domain=[0.575, 1.0], anchor="x4"),
),
)
fig = tls.make_subplots(
rows=2,
insets=[{"cell": (1, 1), "l": 0.8}, {"cell": (2, 1), "l": 0.8}],
start_cell="bottom-left",
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_subplot_titles_2x1(self):
# make a title for each subplot when the layout is 2 rows and 1 column
expected = Figure(
data=Data(),
layout=Layout(
annotations=Annotations(
[
Annotation(
x=0.5,
y=1.0,
xref="paper",
yref="paper",
text="Title 1",
showarrow=False,
font=Font(size=16),
xanchor="center",
yanchor="bottom",
),
Annotation(
x=0.5,
y=0.375,
xref="paper",
yref="paper",
text="Title 2",
showarrow=False,
font=Font(size=16),
xanchor="center",
yanchor="bottom",
),
]
),
xaxis1=XAxis(domain=[0.0, 1.0], anchor="y"),
xaxis2=XAxis(domain=[0.0, 1.0], anchor="y2"),
yaxis1=YAxis(domain=[0.625, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.0, 0.375], anchor="x2"),
),
)
fig = tls.make_subplots(rows=2, subplot_titles=("Title 1", "Title 2"))
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_subplot_titles_1x3(self):
# make a title for each subplot when the layout is 1 row and 3 columns
expected = Figure(
data=Data(),
layout=Layout(
annotations=Annotations(
[
Annotation(
x=0.14444444444444446,
y=1.0,
xref="paper",
yref="paper",
text="Title 1",
showarrow=False,
font=Font(size=16),
xanchor="center",
yanchor="bottom",
),
Annotation(
x=0.5,
y=1.0,
xref="paper",
yref="paper",
text="Title 2",
showarrow=False,
font=Font(size=16),
xanchor="center",
yanchor="bottom",
),
Annotation(
x=0.8555555555555556,
y=1.0,
xref="paper",
yref="paper",
text="Title 3",
showarrow=False,
font=Font(size=16),
xanchor="center",
yanchor="bottom",
),
]
),
xaxis1=XAxis(domain=[0.0, 0.2888888888888889], anchor="y"),
xaxis2=XAxis(
domain=[0.35555555555555557, 0.6444444444444445], anchor="y2"
),
xaxis3=XAxis(domain=[0.7111111111111111, 1.0], anchor="y3"),
yaxis1=YAxis(domain=[0.0, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.0, 1.0], anchor="x2"),
yaxis3=YAxis(domain=[0.0, 1.0], anchor="x3"),
),
)
fig = tls.make_subplots(
cols=3, subplot_titles=("Title 1", "Title 2", "Title 3")
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_subplot_titles_shared_axes(self):
# make a title for each subplot when the layout is 1 row and 3 columns
expected = Figure(
data=Data(),
layout={
"annotations": [
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 1",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 2",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 3",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.375,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 4",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.375,
"yanchor": "bottom",
"yref": "paper",
},
],
"xaxis": {
"anchor": "y",
"domain": [0.0, 0.45],
"matches": "x3",
"showticklabels": False,
},
"xaxis2": {
"anchor": "y2",
"domain": [0.55, 1.0],
"matches": "x4",
"showticklabels": False,
},
"xaxis3": {"anchor": "y3", "domain": [0.0, 0.45]},
"xaxis4": {"anchor": "y4", "domain": [0.55, 1.0]},
"yaxis": {"anchor": "x", "domain": [0.625, 1.0]},
"yaxis2": {
"anchor": "x2",
"domain": [0.625, 1.0],
"matches": "y",
"showticklabels": False,
},
"yaxis3": {"anchor": "x3", "domain": [0.0, 0.375]},
"yaxis4": {
"anchor": "x4",
"domain": [0.0, 0.375],
"matches": "y3",
"showticklabels": False,
},
},
)
fig = tls.make_subplots(
rows=2,
cols=2,
subplot_titles=("Title 1", "Title 2", "Title 3", "Title 4"),
shared_xaxes=True,
shared_yaxes=True,
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_subplot_titles_shared_axes_all(self):
# make a title for each subplot when the layout is 1 row and 3 columns
expected = Figure(
data=Data(),
layout={
"annotations": [
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 1",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 2",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 3",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.375,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 4",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.375,
"yanchor": "bottom",
"yref": "paper",
},
],
"xaxis": {
"anchor": "y",
"domain": [0.0, 0.45],
"matches": "x3",
"showticklabels": False,
},
"xaxis2": {
"anchor": "y2",
"domain": [0.55, 1.0],
"matches": "x3",
"showticklabels": False,
},
"xaxis3": {"anchor": "y3", "domain": [0.0, 0.45]},
"xaxis4": {"anchor": "y4", "domain": [0.55, 1.0], "matches": "x3"},
"yaxis": {"anchor": "x", "domain": [0.625, 1.0], "matches": "y3"},
"yaxis2": {
"anchor": "x2",
"domain": [0.625, 1.0],
"matches": "y3",
"showticklabels": False,
},
"yaxis3": {"anchor": "x3", "domain": [0.0, 0.375]},
"yaxis4": {
"anchor": "x4",
"domain": [0.0, 0.375],
"matches": "y3",
"showticklabels": False,
},
},
)
fig = tls.make_subplots(
rows=2,
cols=2,
subplot_titles=("Title 1", "Title 2", "Title 3", "Title 4"),
shared_xaxes="all",
shared_yaxes="all",
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_subplot_titles_shared_axes_rows_columns(self):
# make a title for each subplot when the layout is 1 row and 3 columns
expected = Figure(
data=Data(),
layout={
"annotations": [
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 1",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 2",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 3",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.375,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 4",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.375,
"yanchor": "bottom",
"yref": "paper",
},
],
"xaxis": {"anchor": "y", "domain": [0.0, 0.45]},
"xaxis2": {"anchor": "y2", "domain": [0.55, 1.0], "matches": "x"},
"xaxis3": {"anchor": "y3", "domain": [0.0, 0.45]},
"xaxis4": {"anchor": "y4", "domain": [0.55, 1.0], "matches": "x3"},
"yaxis": {"anchor": "x", "domain": [0.625, 1.0], "matches": "y3"},
"yaxis2": {"anchor": "x2", "domain": [0.625, 1.0], "matches": "y4"},
"yaxis3": {"anchor": "x3", "domain": [0.0, 0.375]},
"yaxis4": {"anchor": "x4", "domain": [0.0, 0.375]},
},
)
fig = tls.make_subplots(
rows=2,
cols=2,
subplot_titles=("Title 1", "Title 2", "Title 3", "Title 4"),
shared_xaxes="rows",
shared_yaxes="columns",
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_subplot_titles_irregular_layout(self):
# make a title for each subplot when the layout is irregular:
expected = Figure(
data=Data(),
layout=Layout(
annotations=Annotations(
[
Annotation(
x=0.225,
y=1.0,
xref="paper",
yref="paper",
text="Title 1",
showarrow=False,
font=Font(size=16),
xanchor="center",
yanchor="bottom",
),
Annotation(
x=0.775,
y=1.0,
xref="paper",
yref="paper",
text="Title 2",
showarrow=False,
font=Font(size=16),
xanchor="center",
yanchor="bottom",
),
Annotation(
x=0.5,
y=0.375,
xref="paper",
yref="paper",
text="Title 3",
showarrow=False,
font=Font(size=16),
xanchor="center",
yanchor="bottom",
),
]
),
xaxis1=XAxis(domain=[0.0, 0.45], anchor="y"),
xaxis2=XAxis(domain=[0.55, 1.0], anchor="y2"),
xaxis3=XAxis(domain=[0.0, 1.0], anchor="y3"),
yaxis1=YAxis(domain=[0.625, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.625, 1.0], anchor="x2"),
yaxis3=YAxis(domain=[0.0, 0.375], anchor="x3"),
),
)
fig = tls.make_subplots(
rows=2,
cols=2,
subplot_titles=("Title 1", "Title 2", "Title 3"),
specs=[[{}, {}], [{"colspan": 2}, None]],
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_subplot_titles_insets(self):
# This should make a title for the inset plot
# and no title for the main plot.
expected = Figure(
data=Data(),
layout=Layout(
annotations=Annotations(
[
Annotation(
x=0.85,
y=1.0,
xref="paper",
yref="paper",
text="Inset",
showarrow=False,
font=Font(size=16),
xanchor="center",
yanchor="bottom",
)
]
),
xaxis1=XAxis(domain=[0.0, 1.0], anchor="y"),
xaxis2=XAxis(domain=[0.7, 1.0], anchor="y2"),
yaxis1=YAxis(domain=[0.0, 1.0], anchor="x"),
yaxis2=YAxis(domain=[0.3, 1.0], anchor="x2"),
),
)
fig = tls.make_subplots(
insets=[{"cell": (1, 1), "l": 0.7, "b": 0.3}], subplot_titles=("", "Inset")
)
self.assertEqual(fig, expected)
def test_subplot_titles_array(self):
# Pass python array
expected = tls.make_subplots(
insets=[{"cell": (1, 1), "l": 0.7, "b": 0.3}], subplot_titles=("", "Inset")
)
fig = tls.make_subplots(
insets=[{"cell": (1, 1), "l": 0.7, "b": 0.3}], subplot_titles=["", "Inset"]
)
self.assertEqual(fig, expected)
def test_subplot_titles_empty(self):
# Pass empty array
expected = tls.make_subplots(insets=[{"cell": (1, 1), "l": 0.7, "b": 0.3}])
fig = tls.make_subplots(
insets=[{"cell": (1, 1), "l": 0.7, "b": 0.3}], subplot_titles=[]
)
self.assertEqual(fig, expected)
def test_large_columns_no_errors(self):
"""
Test that creating subplots with a large number of columns, and
zero vertical spacing doesn't result in domain values that are out
of range.
Here is the error that was reported in GH1031
ValueError:
Invalid value of type 'builtins.float' received for the
'domain[1]' property of layout.yaxis
Received value: 1.0000000000000007
The 'domain[1]' property is a number and may be specified as:
- An int or float in the interval [0, 1]
"""
v_space = 0.0
# 2D
fig = tls.make_subplots(100, 1, vertical_spacing=v_space)
# 3D
fig = tls.make_subplots(
100,
1,
vertical_spacing=v_space,
specs=[[{"is_3d": True}] for _ in range(100)],
)
def test_row_width_and_column_width(self):
expected = Figure(
{
"data": [],
"layout": {
"annotations": [
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 1",
"x": 0.405,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 2",
"x": 0.9550000000000001,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 3",
"x": 0.405,
"xanchor": "center",
"xref": "paper",
"y": 0.1875,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 4",
"x": 0.9550000000000001,
"xanchor": "center",
"xref": "paper",
"y": 0.1875,
"yanchor": "bottom",
"yref": "paper",
},
],
"xaxis": {"anchor": "y", "domain": [0.0, 0.81]},
"xaxis2": {"anchor": "y2", "domain": [0.91, 1.0]},
"xaxis3": {"anchor": "y3", "domain": [0.0, 0.81]},
"xaxis4": {"anchor": "y4", "domain": [0.91, 1.0]},
"yaxis": {"anchor": "x", "domain": [0.4375, 1.0]},
"yaxis2": {"anchor": "x2", "domain": [0.4375, 1.0]},
"yaxis3": {"anchor": "x3", "domain": [0.0, 0.1875]},
"yaxis4": {"anchor": "x4", "domain": [0.0, 0.1875]},
},
}
)
fig = tls.make_subplots(
rows=2,
cols=2,
subplot_titles=("Title 1", "Title 2", "Title 3", "Title 4"),
row_heights=[3, 1],
column_widths=[9, 1],
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
# Check backward compatible using kwargs
# named 'row_width', and 'column_width'
#
# Note that we manually reverse the order of the list passed to
# `row_width` because the legacy argument is always applied from
# bottom to top, whereas the new row_heights argument follows the
# direction specified by start_cell
fig = tls.make_subplots(
rows=2,
cols=2,
subplot_titles=("Title 1", "Title 2", "Title 3", "Title 4"),
row_width=[1, 3],
column_width=[9, 1],
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_row_width_and_shared_yaxes(self):
expected = Figure(
{
"data": [],
"layout": {
"annotations": [
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 1",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 2",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 1.0,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 3",
"x": 0.225,
"xanchor": "center",
"xref": "paper",
"y": 0.1875,
"yanchor": "bottom",
"yref": "paper",
},
{
"font": {"size": 16},
"showarrow": False,
"text": "Title 4",
"x": 0.775,
"xanchor": "center",
"xref": "paper",
"y": 0.1875,
"yanchor": "bottom",
"yref": "paper",
},
],
"xaxis": {"anchor": "y", "domain": [0.0, 0.45]},
"xaxis2": {"anchor": "y2", "domain": [0.55, 1.0]},
"xaxis3": {"anchor": "y3", "domain": [0.0, 0.45]},
"xaxis4": {"anchor": "y4", "domain": [0.55, 1.0]},
"yaxis": {"anchor": "x", "domain": [0.4375, 1.0]},
"yaxis2": {
"anchor": "x2",
"domain": [0.4375, 1.0],
"matches": "y",
"showticklabels": False,
},
"yaxis3": {"anchor": "x3", "domain": [0.0, 0.1875]},
"yaxis4": {
"anchor": "x4",
"domain": [0.0, 0.1875],
"matches": "y3",
"showticklabels": False,
},
},
}
)
fig = tls.make_subplots(
rows=2,
cols=2,
row_heights=[3, 1],
shared_yaxes=True,
subplot_titles=("Title 1", "Title 2", "Title 3", "Title 4"),
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_secondary_y(self):
fig = subplots.make_subplots(rows=1, cols=1, specs=[[{"secondary_y": True}]])
expected = Figure(
{
"data": [],
"layout": {
"xaxis": {"anchor": "y", "domain": [0.0, 0.94]},
"yaxis": {"anchor": "x", "domain": [0.0, 1.0]},
"yaxis2": {"anchor": "x", "overlaying": "y", "side": "right"},
},
}
)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_secondary_y_traces(self):
fig = subplots.make_subplots(rows=1, cols=1, specs=[[{"secondary_y": True}]])
fig.add_scatter(y=[1, 3, 2], name="First", row=1, col=1)
fig.add_scatter(y=[2, 1, 3], name="second", row=1, col=1, secondary_y=True)
fig.update_traces(uid=None)
expected = Figure(
{
"data": [
{
"name": "First",
"type": "scatter",
"y": [1, 3, 2],
"xaxis": "x",
"yaxis": "y",
},
{
"name": "second",
"type": "scatter",
"y": [2, 1, 3],
"xaxis": "x",
"yaxis": "y2",
},
],
"layout": {
"xaxis": {"anchor": "y", "domain": [0.0, 0.94]},
"yaxis": {"anchor": "x", "domain": [0.0, 1.0]},
"yaxis2": {"anchor": "x", "overlaying": "y", "side": "right"},
},
}
)
expected.update_traces(uid=None)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_secondary_y_subplots(self):
fig = subplots.make_subplots(
rows=2,
cols=2,
specs=[
[{"secondary_y": True}, {"secondary_y": True}],
[{"secondary_y": True}, {"secondary_y": True}],
],
)
fig.add_scatter(y=[1, 3, 2], name="First", row=1, col=1)
fig.add_scatter(y=[2, 1, 3], name="Second", row=1, col=1, secondary_y=True)
fig.add_scatter(y=[4, 3, 2], name="Third", row=1, col=2)
fig.add_scatter(y=[8, 1, 3], name="Forth", row=1, col=2, secondary_y=True)
fig.add_scatter(y=[0, 2, 4], name="Fifth", row=2, col=1)
fig.add_scatter(y=[2, 1, 3], name="Sixth", row=2, col=1, secondary_y=True)
fig.add_scatter(y=[2, 4, 0], name="Fifth", row=2, col=2)
fig.add_scatter(y=[2, 3, 6], name="Sixth", row=2, col=2, secondary_y=True)
fig.update_traces(uid=None)
expected = Figure(
{
"data": [
{
"name": "First",
"type": "scatter",
"xaxis": "x",
"y": [1, 3, 2],
"yaxis": "y",
},
{
"name": "Second",
"type": "scatter",
"xaxis": "x",
"y": [2, 1, 3],
"yaxis": "y2",
},
{
"name": "Third",
"type": "scatter",
"xaxis": "x2",
"y": [4, 3, 2],
"yaxis": "y3",
},
{
"name": "Forth",
"type": "scatter",
"xaxis": "x2",
"y": [8, 1, 3],
"yaxis": "y4",
},
{
"name": "Fifth",
"type": "scatter",
"xaxis": "x3",
"y": [0, 2, 4],
"yaxis": "y5",
},
{
"name": "Sixth",
"type": "scatter",
"xaxis": "x3",
"y": [2, 1, 3],
"yaxis": "y6",
},
{
"name": "Fifth",
"type": "scatter",
"xaxis": "x4",
"y": [2, 4, 0],
"yaxis": "y7",
},
{
"name": "Sixth",
"type": "scatter",
"xaxis": "x4",
"y": [2, 3, 6],
"yaxis": "y8",
},
],
"layout": {
"xaxis": {"anchor": "y", "domain": [0.0, 0.37]},
"xaxis2": {
"anchor": "y3",
"domain": [0.5700000000000001, 0.9400000000000001],
},
"xaxis3": {"anchor": "y5", "domain": [0.0, 0.37]},
"xaxis4": {
"anchor": "y7",
"domain": [0.5700000000000001, 0.9400000000000001],
},
"yaxis": {"anchor": "x", "domain": [0.575, 1.0]},
"yaxis2": {"anchor": "x", "overlaying": "y", "side": "right"},
"yaxis3": {"anchor": "x2", "domain": [0.575, 1.0]},
"yaxis4": {"anchor": "x2", "overlaying": "y3", "side": "right"},
"yaxis5": {"anchor": "x3", "domain": [0.0, 0.425]},
"yaxis6": {"anchor": "x3", "overlaying": "y5", "side": "right"},
"yaxis7": {"anchor": "x4", "domain": [0.0, 0.425]},
"yaxis8": {"anchor": "x4", "overlaying": "y7", "side": "right"},
},
}
)
expected.update_traces(uid=None)
self.assertEqual(fig.to_plotly_json(), expected.to_plotly_json())
def test_if_passed_figure(self):
# assert it returns the same figure it was passed
fig = Figure()
figsp = subplots.make_subplots(2, 2, figure=fig)
assert id(fig) == id(figsp)
# assert the layout is the same when it returns its own figure
fig2sp = subplots.make_subplots(2, 2)
assert id(fig2sp) != id(figsp)
assert fig2sp.layout == figsp.layout
def test_make_subplots_spacing_error():
# check exception describing maximum value for horizontal_spacing or
# vertical_spacing is raised when spacing exceeds that value
for match in [
(
"^%s spacing cannot be greater than \(1 / \(%s - 1\)\) = %f."
% ("Vertical", "rows", 1.0 / 50.0)
).replace(".", "\."),
"The resulting plot would have 51 rows \(rows=51\)\.$",
]:
with pytest.raises(
ValueError,
match=match,
):
fig = subplots.make_subplots(51, 1, vertical_spacing=0.0201)
for match in [
(
"^%s spacing cannot be greater than \(1 / \(%s - 1\)\) = %f."
% ("Horizontal", "cols", 1.0 / 50.0)
).replace(".", "\."),
"The resulting plot would have 51 columns \(cols=51\)\.$",
]:
with pytest.raises(
ValueError,
match=match,
):
fig = subplots.make_subplots(1, 51, horizontal_spacing=0.0201)
# Check it's not raised when it's not beyond the maximum
try:
fig = subplots.make_subplots(51, 1, vertical_spacing=0.0200)
except ValueError:
# This shouldn't happen so we assert False to force failure
assert False
try:
fig = subplots.make_subplots(1, 51, horizontal_spacing=0.0200)
except ValueError:
# This shouldn't happen so we assert False to force failure
assert False
# make sure any value between 0 and 1 works for horizontal_spacing if cols is 1
try:
fig = subplots.make_subplots(1, 1, horizontal_spacing=0)
except ValueError:
# This shouldn't happen so we assert False to force failure
assert False
try:
fig = subplots.make_subplots(1, 1, horizontal_spacing=1)
except ValueError:
# This shouldn't happen so we assert False to force failure
assert False
# make sure any value between 0 and 1 works for horizontal_spacing if cols is 1
try:
fig = subplots.make_subplots(1, 1, horizontal_spacing=0)
except ValueError:
# This shouldn't happen so we assert False to force failure
assert False
# make sure any value between 0 and 1 works for horizontal_spacing if cols is 1
try:
fig = subplots.make_subplots(1, 1, horizontal_spacing=1)
except ValueError:
# This shouldn't happen so we assert False to force failure
assert False
with pytest.raises(
ValueError, match="^Horizontal spacing must be between 0 and 1\.$"
):
fig = subplots.make_subplots(1, 1, horizontal_spacing=-0.01)
with pytest.raises(
ValueError, match="^Horizontal spacing must be between 0 and 1\.$"
):
fig = subplots.make_subplots(1, 1, horizontal_spacing=1.01)
with pytest.raises(
ValueError, match="^Vertical spacing must be between 0 and 1\.$"
):
fig = subplots.make_subplots(1, 1, vertical_spacing=-0.01)
with pytest.raises(
ValueError, match="^Vertical spacing must be between 0 and 1\.$"
):
fig = subplots.make_subplots(1, 1, vertical_spacing=1.01)
| 40.84234 | 87 | 0.416975 | 7,645 | 82,379 | 4.418836 | 0.058993 | 0.086614 | 0.037416 | 0.035433 | 0.922918 | 0.887188 | 0.859393 | 0.792079 | 0.759961 | 0.737641 | 0 | 0.169445 | 0.431967 | 82,379 | 2,016 | 88 | 40.862599 | 0.552485 | 0.027665 | 0 | 0.683253 | 0 | 0 | 0.098822 | 0 | 0 | 0 | 0 | 0 | 0.038523 | 1 | 0.034778 | false | 0.000535 | 0.00321 | 0 | 0.038523 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
7ceef2e5351d6d61fb6efc2e054431468bd6aa36 | 57 | py | Python | tests/helpers/_helper_timeout_module.py | Chrisk12/python-grader | 9bfe9beeffdeb8e50be1a9e2ae3b4fbf0728aa52 | [
"MIT"
] | 9 | 2015-06-06T06:15:12.000Z | 2020-05-27T21:37:16.000Z | tests/helpers/_helper_timeout_module.py | Chrisk12/python-grader | 9bfe9beeffdeb8e50be1a9e2ae3b4fbf0728aa52 | [
"MIT"
] | null | null | null | tests/helpers/_helper_timeout_module.py | Chrisk12/python-grader | 9bfe9beeffdeb8e50be1a9e2ae3b4fbf0728aa52 | [
"MIT"
] | 3 | 2018-11-17T22:51:45.000Z | 2021-01-22T14:07:48.000Z | from time import sleep
def slow_function():
sleep(5) | 14.25 | 22 | 0.719298 | 9 | 57 | 4.444444 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021739 | 0.192982 | 57 | 4 | 23 | 14.25 | 0.847826 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
7cf760b96293d72d2ebf4ca155aaee41da727f4e | 48 | py | Python | netomaton/topology/__init__.py | lantunes/netomaton | fef60a787d031c9c7b1eb4ff990f7c12145579ef | [
"Apache-2.0"
] | 35 | 2018-12-07T14:11:29.000Z | 2022-03-17T23:47:21.000Z | netomaton/topology/__init__.py | lantunes/netomaton | fef60a787d031c9c7b1eb4ff990f7c12145579ef | [
"Apache-2.0"
] | 2 | 2020-03-15T06:45:39.000Z | 2020-04-15T23:50:13.000Z | netomaton/topology/__init__.py | lantunes/netomaton | fef60a787d031c9c7b1eb4ff990f7c12145579ef | [
"Apache-2.0"
] | 6 | 2019-10-18T08:47:32.000Z | 2022-03-02T10:17:12.000Z | from . import adjacency
from .networks import * | 16 | 23 | 0.770833 | 6 | 48 | 6.166667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 48 | 3 | 24 | 16 | 0.925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6b1ea624e8735181f33b1f637d74918e0dc1a3d2 | 6,294 | py | Python | cs-config/cs_config/tables.py | grantseiter/Tax-Brain | 180063a193ff8cb0b56349878110066b012dde6d | [
"MIT"
] | 10 | 2019-05-07T12:04:58.000Z | 2021-05-18T13:14:45.000Z | cs-config/cs_config/tables.py | grantseiter/Tax-Brain | 180063a193ff8cb0b56349878110066b012dde6d | [
"MIT"
] | 113 | 2019-03-05T16:13:32.000Z | 2021-11-10T13:53:32.000Z | cs-config/cs_config/tables.py | grantseiter/Tax-Brain | 180063a193ff8cb0b56349878110066b012dde6d | [
"MIT"
] | 14 | 2019-01-24T18:39:11.000Z | 2021-03-17T17:00:51.000Z | """
Functions to create the tables displayed in COMP
"""
from .constants import AGG_ROW_NAMES
from taxbrain import TaxBrain
def summary_aggregate(res, tb):
"""
Function to produce aggregate revenue tables
"""
if not isinstance(res, dict):
raise TypeError(
f"'res' is of type {type(res)}. Must be dictionary object."
)
if not isinstance(tb, TaxBrain):
raise TypeError(
f"'tb' is of type {type(tb)}. Must be TaxBrain object"
)
# tax totals for baseline
tax_vars = ["iitax", "payrolltax", "combined",
"benefit_cost_total"]
aggr_base = tb.multi_var_table(tax_vars, "base")
aggr_base.index = AGG_ROW_NAMES
# tax totals for reform
aggr_reform = tb.multi_var_table(tax_vars, "reform")
aggr_reform.index = AGG_ROW_NAMES
# tax difference
aggr_d = aggr_reform - aggr_base
# add to dictionary
res["aggr_d"] = (aggr_d / 1e9).round(3)
res["aggr_1"] = (aggr_base / 1e9).round(3)
res["aggr_2"] = (aggr_reform / 1e9).round(3)
del aggr_base, aggr_reform, aggr_d
return res
def summary_dist_xbin(res, tb, year):
"""
res is dictionary of summary-results DataFrames.
df1 contains results variables for baseline policy.
df2 contains results variables for reform policy.
returns augmented dictionary of summary-results DataFrames.
"""
if not isinstance(res, dict):
raise TypeError(
f"'res' is of type {type(res)}. Must be dictionary object."
)
if not isinstance(tb, TaxBrain):
raise TypeError(
f"'tb' is of type {type(tb)}. Must be TaxBrain object"
)
if not isinstance(year, int):
raise TypeError(
f"'year' is of type {type(year)}. Must be an integer"
)
# create distribution tables grouped by xbin
# baseline distribution table
res["dist1_xbin"] = tb.distribution_table(year, "standard_income_bins",
"expanded_income", "base")
# reform distribution table
# ensure income is grouped on the same measure
expanded_income_baseline = tb.base_data[year]["expanded_income"]
tb.reform_data[year]["expanded_income_baseline"] = expanded_income_baseline
res["dist2_xbin"] = tb.distribution_table(year, "standard_income_bins",
"expanded_income_baseline",
"reform")
del tb.reform_data[year]["expanded_income_baseline"]
return res
def summary_diff_xbin(res, tb, year):
"""
res is dictionary of summary-results DataFrames.
df1 contains results variables for baseline policy.
df2 contains results variables for reform policy.
returns augmented dictionary of summary-results DataFrames.
"""
if not isinstance(res, dict):
raise TypeError(
f"'res' is of type {type(res)}. Must be dictionary object."
)
if not isinstance(tb, TaxBrain):
raise TypeError(
f"'tb' is of type {type(tb)}. Must be TaxBrain object"
)
if not isinstance(year, int):
raise TypeError(
f"'year' is of type {type(year)}. Must be an integer"
)
# create difference tables grouped by xbin
res["diff_itax_xbin"] = tb.differences_table(year, "standard_income_bins",
"iitax")
res["diff_ptax_xbin"] = tb.differences_table(year, "standard_income_bins",
"payrolltax")
res["diff_comb_xbin"] = tb.differences_table(year, "standard_income_bins",
"combined")
return res
def summary_dist_xdec(res, tb, year):
"""
res is dictionary of summary-results DataFrames.
df1 contains results variables for baseline policy.
df2 contains results variables for reform policy.
returns augmented dictionary of summary-results DataFrames.
"""
if not isinstance(res, dict):
raise TypeError(
f"'res' is of type {type(res)}. Must be dictionary object."
)
if not isinstance(tb, TaxBrain):
raise TypeError(
f"'tb' is of type {type(tb)}. Must be TaxBrain object"
)
if not isinstance(year, int):
raise TypeError(
f"'year' is of type {type(year)}. Must be an integer"
)
# create distribution tables grouped by xdec
res["dist1_xdec"] = tb.distribution_table(year, "weighted_deciles",
"expanded_income", "base")
# reform distribution table
# ensure income is grouped on the same measure
expanded_income_baseline = tb.base_data[year]["expanded_income"]
tb.reform_data[year]["expanded_income_baseline"] = expanded_income_baseline
res["dist2_xdec"] = tb.distribution_table(year, "weighted_deciles",
"expanded_income_baseline",
"reform")
del tb.reform_data[year]["expanded_income_baseline"]
return res
def summary_diff_xdec(res, tb, year):
"""
res is dictionary of summary-results DataFrames.
df1 contains results variables for baseline policy.
df2 contains results variables for reform policy.
returns augmented dictionary of summary-results DataFrames.
"""
if not isinstance(res, dict):
raise TypeError(
f"'res' is of type {type(res)}. Must be dictionary object."
)
if not isinstance(tb, TaxBrain):
raise TypeError(
f"'tb' is of type {type(tb)}. Must be TaxBrain object"
)
if not isinstance(year, int):
raise TypeError(
f"'year' is of type {type(year)}. Must be an integer"
)
# create difference tables grouped by xdec
res["diff_itax_xdec"] = tb.differences_table(year, "weighted_deciles",
"iitax")
res["diff_ptax_xdec"] = tb.differences_table(year, "weighted_deciles",
"payrolltax")
res["diff_comb_xdec"] = tb.differences_table(year, "weighted_deciles",
"combined")
return res
| 39.093168 | 79 | 0.604703 | 743 | 6,294 | 4.973082 | 0.137281 | 0.018945 | 0.056834 | 0.045467 | 0.846549 | 0.811367 | 0.799459 | 0.766171 | 0.730447 | 0.707713 | 0 | 0.005244 | 0.303146 | 6,294 | 160 | 80 | 39.3375 | 0.837209 | 0.215284 | 0 | 0.607477 | 0 | 0 | 0.287323 | 0.030025 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046729 | false | 0 | 0.018692 | 0 | 0.11215 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
8655f6820e8682bc9aa9f19a6fe792a1d0cd94df | 28 | py | Python | app/game/__init__.py | liferooter/---------------- | 0ea4e65c0981f7b26224ef030e4f9bca78f59668 | [
"Unlicense"
] | null | null | null | app/game/__init__.py | liferooter/---------------- | 0ea4e65c0981f7b26224ef030e4f9bca78f59668 | [
"Unlicense"
] | 1 | 2021-01-15T10:24:28.000Z | 2021-01-18T19:23:05.000Z | app/game/__init__.py | liferooter/cubanjumper | 0ea4e65c0981f7b26224ef030e4f9bca78f59668 | [
"Unlicense"
] | null | null | null | from app.game.game import *
| 14 | 27 | 0.75 | 5 | 28 | 4.2 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 28 | 1 | 28 | 28 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
866acad7ed4192d264f90e31ce0f04cce107f8bb | 617 | py | Python | namesync/providers/base.py | dnerdy/namesync | 004c5968968e9db82ca8cd16ace8f59088e3e570 | [
"MIT"
] | 9 | 2015-01-14T21:31:11.000Z | 2020-05-08T23:39:07.000Z | namesync/providers/base.py | dnerdy/namesync | 004c5968968e9db82ca8cd16ace8f59088e3e570 | [
"MIT"
] | 1 | 2015-01-14T21:30:58.000Z | 2015-08-11T22:28:04.000Z | namesync/providers/base.py | dnerdy/namesync | 004c5968968e9db82ca8cd16ace8f59088e3e570 | [
"MIT"
] | 2 | 2015-01-16T21:35:42.000Z | 2020-06-18T18:59:10.000Z |
class Provider(object):
def __init__(self, config, zone):
self.zone = zone
def records(self):
raise NotImplementedError() # pragma: no cover
def add(self, record):
raise NotImplementedError() # pragma: no cover
def update(self, record):
raise NotImplementedError() # pragma: no cover
def delete(self, record):
raise NotImplementedError() # pragma: no cover
@staticmethod
def needs_config():
return True
@staticmethod
def config():
return {}
@staticmethod
def migrate_config(config):
return config
| 21.275862 | 55 | 0.620746 | 63 | 617 | 5.984127 | 0.365079 | 0.254642 | 0.318302 | 0.339523 | 0.496021 | 0.496021 | 0.38992 | 0.265252 | 0 | 0 | 0 | 0 | 0.290113 | 617 | 28 | 56 | 22.035714 | 0.860731 | 0.10859 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0.15 | 0.6 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
86aecba9bf3d77a82de0ee1a7dc0b224c16bdfce | 46 | py | Python | dnnv/verifiers/common/reductions/__init__.py | nathzi1505/DNNV | 16c6e6ecb681ce66196f9274d4a43eede8686319 | [
"MIT"
] | 33 | 2019-12-13T18:54:52.000Z | 2021-11-16T06:29:29.000Z | dnnv/verifiers/common/reductions/__init__.py | nathzi1505/DNNV | 16c6e6ecb681ce66196f9274d4a43eede8686319 | [
"MIT"
] | 28 | 2020-01-30T14:06:03.000Z | 2022-01-27T01:07:37.000Z | dnnv/verifiers/common/reductions/__init__.py | nathzi1505/DNNV | 16c6e6ecb681ce66196f9274d4a43eede8686319 | [
"MIT"
] | 14 | 2020-04-08T01:57:00.000Z | 2021-11-26T09:35:02.000Z | from .base import *
from .iopolytope import *
| 15.333333 | 25 | 0.73913 | 6 | 46 | 5.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 46 | 2 | 26 | 23 | 0.894737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
86b1b776b39e918dc7726acc901c8c7b92a3f289 | 159 | py | Python | plugin-python/pyimports.py | srinarayanant/terraform-provider-vcloud-director-1 | 1e805550e69fb5284d4a746a2f86326ec72c565f | [
"BSD-2-Clause"
] | null | null | null | plugin-python/pyimports.py | srinarayanant/terraform-provider-vcloud-director-1 | 1e805550e69fb5284d4a746a2f86326ec72c565f | [
"BSD-2-Clause"
] | null | null | null | plugin-python/pyimports.py | srinarayanant/terraform-provider-vcloud-director-1 | 1e805550e69fb5284d4a746a2f86326ec72c565f | [
"BSD-2-Clause"
] | null | null | null | from pyvcloud.vcd.org import Org
from pyvcloud.vcd.vdc import VDC
from pyvcloud.vcd.client import TaskStatus
import errors
from lxml import objectify, etree
| 19.875 | 42 | 0.823899 | 25 | 159 | 5.24 | 0.48 | 0.274809 | 0.343511 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.132075 | 159 | 7 | 43 | 22.714286 | 0.949275 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
86bca530ff57bd2bbf2fefbdf7605f572509c62f | 968 | py | Python | pridge/cg_numpy.py | valmel/pridge | 9cda4641825c867b4f246df17af73b39be03a1b5 | [
"MIT"
] | null | null | null | pridge/cg_numpy.py | valmel/pridge | 9cda4641825c867b4f246df17af73b39be03a1b5 | [
"MIT"
] | null | null | null | pridge/cg_numpy.py | valmel/pridge | 9cda4641825c867b4f246df17af73b39be03a1b5 | [
"MIT"
] | null | null | null | def CGnumpyAAt(A, At, b, x, reg = 0.01, imax = 1000, eps = 1e-6):
# project b by A^T
rhs = At.dot(b)
q = rhs.copy()
i = 0
aux = A.dot(x)
r = rhs - At.dot(aux) - reg*x
d = r.copy()
delta_0 = r.dot(r)
delta = delta_0
while i < imax and \
delta > delta_0 * eps**2:
aux = A.dot(d)
q = At*aux
q = q + reg*d
alpha = delta / d.dot(q)
x = x + alpha*d
r = r - alpha*q
delta_old = delta
delta = r.dot(r)
beta = delta / delta_old
d = r + beta*d
i = i + 1
return x, i, delta**0.5
def CGnumpyN(N, b, x, reg = 0.01, imax = 1000, eps = 1e-6):
i = 0
r = b - N.dot(x) - reg*x
d = r.copy()
delta_0 = r.dot(r)
delta = delta_0
while i < imax and \
delta > delta_0 * eps**2:
q = N.dot(d) + reg*d
alpha = delta / d.dot(q)
x = x + alpha*d
r = r - alpha*q
delta_old = delta
delta = r.dot(r)
beta = delta / delta_old
d = r + beta*d
i = i + 1
return x, i, delta**0.5 | 22 | 65 | 0.5 | 192 | 968 | 2.46875 | 0.192708 | 0.101266 | 0.042194 | 0.025316 | 0.767932 | 0.767932 | 0.767932 | 0.767932 | 0.767932 | 0.767932 | 0 | 0.052795 | 0.334711 | 968 | 44 | 66 | 22 | 0.68323 | 0.016529 | 0 | 0.731707 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0 | 0 | 0.097561 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
86dbd27f527f6eccabd4be2dc0e282509b240baf | 257 | py | Python | jsonrpclib/__init__.py | tuomassalo/jsonrpclib | 774c9353915f1b929e4a9c055ab2654c9c08c5d0 | [
"Apache-2.0"
] | null | null | null | jsonrpclib/__init__.py | tuomassalo/jsonrpclib | 774c9353915f1b929e4a9c055ab2654c9c08c5d0 | [
"Apache-2.0"
] | null | null | null | jsonrpclib/__init__.py | tuomassalo/jsonrpclib | 774c9353915f1b929e4a9c055ab2654c9c08c5d0 | [
"Apache-2.0"
] | 1 | 2022-02-26T05:53:44.000Z | 2022-02-26T05:53:44.000Z | from jsonrpclib.config import Config
config = Config.instance()
from jsonrpclib.history import History
history = History.instance()
from jsonrpclib.jsonrpc import Server, MultiCall, Fault
from jsonrpclib.jsonrpc import ProtocolError, AppError, loads, dumps
| 36.714286 | 68 | 0.828794 | 31 | 257 | 6.870968 | 0.451613 | 0.262911 | 0.206573 | 0.253521 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105058 | 257 | 6 | 69 | 42.833333 | 0.926087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8121ca42b445523c679374eddedfe885bbc09e02 | 475,254 | py | Python | Tanjim.py | noobboss1/SIX | 3d09d778a6b73b074630c52e7163d9dc06d836fb | [
"Apache-2.0"
] | null | null | null | Tanjim.py | noobboss1/SIX | 3d09d778a6b73b074630c52e7163d9dc06d836fb | [
"Apache-2.0"
] | null | null | null | Tanjim.py | noobboss1/SIX | 3d09d778a6b73b074630c52e7163d9dc06d836fb | [
"Apache-2.0"
] | null | null | null |
# Obfuscated By VivekXD | MRVIVEK-CODER
# Github : https://www.github.com/MRVIVEK-CODER
# Instagram : https://instagr.am/hacker_solution_by_vivek
# --------------------------------------------
# Time : Thu Nov 11 02:43:10 2021
# Platform : Linux aarch64
# --------------------------------------------
import codecs,base64
htr = [67, 105, 77, 103, 84, 50, 74, 109, 100, 88, 78, 106, 89, 88, 82, 108, 90, 67, 66, 67, 101, 83, 66, 87, 97, 88, 90, 108, 97, 49, 104, 69, 73, 72, 119, 103, 84, 86, 74, 87, 83, 86, 90, 70, 83, 121, 49, 68, 84, 48, 82, 70, 85, 105, 65, 75, 73, 121, 66, 72, 97, 88, 82, 111, 100, 87, 73, 103, 73, 67, 65, 103, 79, 105, 66, 111, 100, 72, 82, 119, 99, 122, 111, 118, 76, 51, 100, 51, 100, 121, 53, 110, 97, 88, 82, 111, 100, 87, 73, 117, 89, 50, 57, 116, 76, 48, 49, 83, 86, 107, 108, 87, 82, 85, 115, 116, 81, 48, 57, 69, 82, 86, 73, 75, 73, 121, 66, 74, 98, 110, 78, 48, 89, 87, 100, 121, 89, 87, 48, 103, 79, 105, 66, 111, 100, 72, 82, 119, 99, 122, 111, 118, 76, 50, 108, 117, 99, 51, 82, 104, 90, 51, 73, 117, 89, 87, 48, 118, 97, 71, 70, 106, 97, 50, 86, 121, 88, 51, 78, 118, 98, 72, 86, 48, 97, 87, 57, 117, 88, 50, 74, 53, 88, 51, 90, 112, 100, 109, 86, 114, 67, 105, 77, 103, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 75, 73, 121, 66, 85, 97, 87, 49, 108, 73, 67, 65, 103, 73, 67, 65, 103, 79, 105, 66, 85, 97, 72, 85, 103, 84, 109, 57, 50, 73, 68, 69, 120, 73, 68, 65, 121, 79, 106, 81, 122, 79, 106, 65, 49, 73, 68, 73, 119, 77, 106, 69, 75, 73, 121, 66, 81, 98, 71, 70, 48, 90, 109, 57, 121, 98, 83, 65, 103, 79, 105, 66, 77, 97, 87, 53, 49, 101, 67, 66, 104, 89, 88, 74, 106, 97, 68, 89, 48, 67, 105, 77, 103, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 116, 76, 83, 48, 75, 67, 109, 108, 116, 99, 71, 57, 121, 100, 67, 66, 106, 98, 50, 82, 108, 89, 51, 77, 115, 89, 109, 70, 122, 90, 84, 89, 48, 67, 109, 104, 48, 99, 105, 65, 57, 73, 70, 115, 50, 78, 121, 119, 103, 77, 84, 65, 49, 76, 67, 65, 51, 78, 121, 119, 103, 77, 84, 65, 122, 76, 67, 65, 52, 78, 67, 119, 103, 78, 84, 65, 115, 73, 68, 99, 48, 76, 67, 65, 120, 77, 68, 107, 115, 73, 68, 69, 119, 77, 67, 119, 103, 79, 68, 103, 115, 73, 68, 99, 52, 76, 67, 65, 120, 77, 68, 89, 115, 73, 68, 103, 53, 76, 67, 65, 52, 79, 67, 119, 103, 79, 68, 73, 115, 73, 68, 69, 119, 79, 67, 119, 103, 79, 84, 65, 115, 73, 68, 89, 51, 76, 67, 65, 50, 78, 105, 119, 103, 78, 106, 99, 115, 73, 68, 69, 119, 77, 83, 119, 103, 79, 68, 77, 115, 73, 68, 89, 50, 76, 67, 65, 52, 78, 121, 119, 103, 79, 84, 99, 115, 73, 68, 103, 52, 76, 67, 65, 53, 77, 67, 119, 103, 77, 84, 65, 52, 76, 67, 65, 53, 78, 121, 119, 103, 78, 68, 107, 115, 73, 68, 69, 119, 78, 67, 119, 103, 78, 106, 107, 115, 73, 68, 99, 122, 76, 67, 65, 51, 77, 105, 119, 103, 77, 84, 69, 53, 76, 67, 65, 120, 77, 68, 77, 115, 73, 68, 103, 48, 76, 67, 65, 52, 78, 105, 119, 103, 78, 122, 81, 115, 73, 68, 103, 51, 76, 67, 65, 52, 77, 121, 119, 103, 79, 68, 89, 115, 73, 68, 107, 119, 76, 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tahmid = 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'
pizza = '\x72\x6f\x74\x5f\x31\x33'
mobile = codecs.decode(eval('\x74\x61\x68\x6d\x69\x64'), eval('\x70\x69\x7a\x7a\x61'))
burger = base64.b64decode(''.join([chr(tech) for tech in htr])+eval('\x6d\x6f\x62\x69\x6c\x65'))
eval(compile(eval("\x62\x75\x72\x67\x65\x72"),"<VivekXD>","exec"))
| 27,956.117647 | 385,228 | 0.623258 | 89,473 | 475,254 | 3.310529 | 0.00133 | 0.070195 | 0.122771 | 0.048889 | 0.694919 | 0.694865 | 0.69477 | 0.694622 | 0.693794 | 0.692133 | 0 | 0.555198 | 0.18824 | 475,254 | 16 | 385,229 | 29,703.375 | 0.212581 | 0.000623 | 0 | 0 | 0 | 0 | 0.188467 | 0.188397 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
81241143237d7e4000d45e8fcefff93e7fea7485 | 5,360 | py | Python | 010-019/013.py | ggm1207/gunmo-project-euler | c8e38e084e7604039398557f2b946edaa2fb34c1 | [
"Apache-2.0"
] | null | null | null | 010-019/013.py | ggm1207/gunmo-project-euler | c8e38e084e7604039398557f2b946edaa2fb34c1 | [
"Apache-2.0"
] | null | null | null | 010-019/013.py | ggm1207/gunmo-project-euler | c8e38e084e7604039398557f2b946edaa2fb34c1 | [
"Apache-2.0"
] | null | null | null | """
index: 013
problem: 50자리 수 100개를 더한 값의 첫 10자리 구하기
"""
num_50_100 = """37107287533902102798797998220837590246510135740250
46376937677490009712648124896970078050417018260538
74324986199524741059474233309513058123726617309629
91942213363574161572522430563301811072406154908250
23067588207539346171171980310421047513778063246676
89261670696623633820136378418383684178734361726757
28112879812849979408065481931592621691275889832738
44274228917432520321923589422876796487670272189318
47451445736001306439091167216856844588711603153276
70386486105843025439939619828917593665686757934951
62176457141856560629502157223196586755079324193331
64906352462741904929101432445813822663347944758178
92575867718337217661963751590579239728245598838407
58203565325359399008402633568948830189458628227828
80181199384826282014278194139940567587151170094390
35398664372827112653829987240784473053190104293586
86515506006295864861532075273371959191420517255829
71693888707715466499115593487603532921714970056938
54370070576826684624621495650076471787294438377604
53282654108756828443191190634694037855217779295145
36123272525000296071075082563815656710885258350721
45876576172410976447339110607218265236877223636045
17423706905851860660448207621209813287860733969412
81142660418086830619328460811191061556940512689692
51934325451728388641918047049293215058642563049483
62467221648435076201727918039944693004732956340691
15732444386908125794514089057706229429197107928209
55037687525678773091862540744969844508330393682126
18336384825330154686196124348767681297534375946515
80386287592878490201521685554828717201219257766954
78182833757993103614740356856449095527097864797581
16726320100436897842553539920931837441497806860984
48403098129077791799088218795327364475675590848030
87086987551392711854517078544161852424320693150332
59959406895756536782107074926966537676326235447210
69793950679652694742597709739166693763042633987085
41052684708299085211399427365734116182760315001271
65378607361501080857009149939512557028198746004375
35829035317434717326932123578154982629742552737307
94953759765105305946966067683156574377167401875275
88902802571733229619176668713819931811048770190271
25267680276078003013678680992525463401061632866526
36270218540497705585629946580636237993140746255962
24074486908231174977792365466257246923322810917141
91430288197103288597806669760892938638285025333403
34413065578016127815921815005561868836468420090470
23053081172816430487623791969842487255036638784583
11487696932154902810424020138335124462181441773470
63783299490636259666498587618221225225512486764533
67720186971698544312419572409913959008952310058822
95548255300263520781532296796249481641953868218774
76085327132285723110424803456124867697064507995236
37774242535411291684276865538926205024910326572967
23701913275725675285653248258265463092207058596522
29798860272258331913126375147341994889534765745501
18495701454879288984856827726077713721403798879715
38298203783031473527721580348144513491373226651381
34829543829199918180278916522431027392251122869539
40957953066405232632538044100059654939159879593635
29746152185502371307642255121183693803580388584903
41698116222072977186158236678424689157993532961922
62467957194401269043877107275048102390895523597457
23189706772547915061505504953922979530901129967519
86188088225875314529584099251203829009407770775672
11306739708304724483816533873502340845647058077308
82959174767140363198008187129011875491310547126581
97623331044818386269515456334926366572897563400500
42846280183517070527831839425882145521227251250327
55121603546981200581762165212827652751691296897789
32238195734329339946437501907836945765883352399886
75506164965184775180738168837861091527357929701337
62177842752192623401942399639168044983993173312731
32924185707147349566916674687634660915035914677504
99518671430235219628894890102423325116913619626622
73267460800591547471830798392868535206946944540724
76841822524674417161514036427982273348055556214818
97142617910342598647204516893989422179826088076852
87783646182799346313767754307809363333018982642090
10848802521674670883215120185883543223812876952786
71329612474782464538636993009049310363619763878039
62184073572399794223406235393808339651327408011116
66627891981488087797941876876144230030984490851411
60661826293682836764744779239180335110989069790714
85786944089552990653640447425576083659976645795096
66024396409905389607120198219976047599490197230297
64913982680032973156037120041377903785566085089252
16730939319872750275468906903707539413042652315011
94809377245048795150954100921645863754710598436791
78639167021187492431995700641917969777599028300699
15368713711936614952811305876380278410754449733078
40789923115535562561142322423255033685442488917353
44889911501440648020369068063960672322193204149535
41503128880339536053299340368006977710650566631954
81234880673210146739058568557934581403627822703280
82616570773948327592232845941706525094512325230608
22918802058777319719839450180888072429661980811197
77158542502016545090413245809786882778948721859617
72107838435069186155435662884062257473692284509516
20849603980134001723930671666823555245252804609722
53503534226472524250874054075591789781264330331690"""
num_50_100 = list(map(int, num_50_100.split("\n")))
def main():
"""I'm sorry. I'm Python ^^"""
answer = str(sum(num_50_100))[:10]
return answer
print("\n", main())
| 45.811966 | 66 | 0.961007 | 145 | 5,360 | 35.468966 | 0.903448 | 0.003889 | 0.006222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.966206 | 0.028358 | 5,360 | 116 | 67 | 46.206897 | 0.021313 | 0.013806 | 0 | 0 | 0 | 0 | 0.967944 | 0.948407 | 0 | 1 | 0 | 0 | 0 | 1 | 0.009524 | false | 0 | 0 | 0 | 0.019048 | 0.009524 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
d4a3c3376ed7edda511370144604f119982f55f0 | 9,812 | py | Python | edk2toolext/tests/test_repo_resolver.py | spbrogan/edk2-pytool-extensions | 5ad1bdef26cd5ad16e4718b4448f5858dba21a4c | [
"BSD-2-Clause-Patent"
] | null | null | null | edk2toolext/tests/test_repo_resolver.py | spbrogan/edk2-pytool-extensions | 5ad1bdef26cd5ad16e4718b4448f5858dba21a4c | [
"BSD-2-Clause-Patent"
] | null | null | null | edk2toolext/tests/test_repo_resolver.py | spbrogan/edk2-pytool-extensions | 5ad1bdef26cd5ad16e4718b4448f5858dba21a4c | [
"BSD-2-Clause-Patent"
] | null | null | null | ## @file test_repo_resolver.py
# This contains unit tests for repo resolver
#
##
# Copyright (c) Microsoft Corporation
#
# SPDX-License-Identifier: BSD-2-Clause-Patent
##
import logging
import os
import unittest
from edk2toolext.environment import repo_resolver
import tempfile
branch_dependency = {
"Url": "https://github.com/microsoft/mu",
"Path": "test_repo",
"Branch": "master"
}
sub_branch_dependency = {
"Url": "https://github.com/microsoft/mu",
"Path": "test_repo",
"Branch": "gh-pages"
}
commit_dependency = {
"Url": "https://github.com/microsoft/mu",
"Path": "test_repo",
"Commit": "b1e35a5d2bf05fb7f58f5b641a702c70d6b32a98"
}
commit_later_dependency = {
"Url": "https://github.com/microsoft/mu",
"Path": "test_repo",
"Commit": "e28910950c52256eb620e35d111945cdf5d002d1"
}
microsoft_commit_dependency = {
"Url": "https://github.com/Microsoft/microsoft.github.io",
"Path": "test_repo",
"Commit": "e9153e69c82068b45609359f86554a93569d76f1"
}
microsoft_branch_dependency = {
"Url": "https://github.com/Microsoft/microsoft.github.io",
"Path": "test_repo",
"Commit": "e9153e69c82068b45609359f86554a93569d76f1"
}
test_dir = None
def prep_workspace():
global test_dir
# if test temp dir doesn't exist
if test_dir is None or not os.path.isdir(test_dir):
test_dir = tempfile.mkdtemp()
logging.debug("temp dir is: %s" % test_dir)
else:
repo_resolver.clear_folder(test_dir)
test_dir = tempfile.mkdtemp()
def clean_workspace():
global test_dir
if test_dir is None:
return
if os.path.isdir(test_dir):
repo_resolver.clear_folder(test_dir)
test_dir = None
def get_first_file(folder):
folder_list = os.listdir(folder)
for file_path in folder_list:
path = os.path.join(folder, file_path)
if os.path.isfile(path):
return path
return None
class test_repo_resolver(unittest.TestCase):
def setUp(self):
prep_workspace()
@classmethod
def setUpClass(cls):
logger = logging.getLogger('')
logger.addHandler(logging.NullHandler())
unittest.installHandler()
@classmethod
def tearDownClass(cls):
clean_workspace()
# check to make sure that we can clone a branch correctly
def test_clone_branch_repo(self):
# create an empty directory- and set that as the workspace
repo_resolver.resolve(test_dir, branch_dependency)
folder_path = os.path.join(test_dir, branch_dependency["Path"])
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], branch_dependency['Url'])
self.assertEqual(details['Branch'], branch_dependency['Branch'])
# don't create a git repo, create the folder, add a file, try to clone in the folder, it should throw an exception
def test_wont_delete_files(self):
folder_path = os.path.join(test_dir, commit_dependency["Path"])
os.makedirs(folder_path)
file_path = os.path.join(folder_path, "test.txt")
file_path = os.path.join(
test_dir, branch_dependency["Path"], "test.txt")
out_file = open(file_path, "w+")
out_file.write("Make sure we don't delete this")
out_file.close()
self.assertTrue(os.path.isfile(file_path))
with self.assertRaises(Exception):
repo_resolver.resolve(test_dir, branch_dependency)
self.fail("We shouldn't make it here")
self.assertTrue(os.path.isfile(file_path))
# don't create a git repo, create the folder, add a file, try to clone in the folder, will force it to happen
def test_will_delete_files(self):
folder_path = os.path.join(test_dir, commit_dependency["Path"])
os.makedirs(folder_path)
file_path = os.path.join(folder_path, "test.txt")
out_file = open(file_path, "w+")
out_file.write("Make sure we don't delete this")
out_file.close()
self.assertTrue(os.path.exists(file_path))
try:
repo_resolver.resolve(test_dir, commit_dependency, force=True)
except:
self.fail("We shouldn't fail when we are forcing")
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], commit_dependency['Url'])
def test_wont_delete_dirty_repo(self):
repo_resolver.resolve(test_dir, commit_dependency)
folder_path = os.path.join(test_dir, commit_dependency["Path"])
file_path = get_first_file(folder_path)
# make sure the file already exists
self.assertTrue(os.path.isfile(file_path))
out_file = open(file_path, "a+")
out_file.write("Make sure we don't delete this")
out_file.close()
self.assertTrue(os.path.exists(file_path))
with self.assertRaises(Exception):
repo_resolver.resolve(test_dir, commit_dependency, update_ok=True)
def test_will_delete_dirty_repo(self):
repo_resolver.resolve(test_dir, commit_dependency)
folder_path = os.path.join(test_dir, commit_dependency["Path"])
file_path = get_first_file(folder_path)
# make sure the file already exists
self.assertTrue(os.path.isfile(file_path))
out_file = open(file_path, "a+")
out_file.write("Make sure we don't delete this")
out_file.close()
self.assertTrue(os.path.exists(file_path))
try:
repo_resolver.resolve(test_dir, commit_later_dependency, force=True)
except:
self.fail("We shouldn't fail when we are forcing")
# check to make sure we can clone a commit correctly
def test_clone_commit_repo(self):
# create an empty directory- and set that as the workspace
repo_resolver.resolve(test_dir, commit_dependency)
folder_path = os.path.join(test_dir, commit_dependency["Path"])
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], commit_dependency['Url'])
self.assertEqual(details['Commit'], commit_dependency['Commit'])
# check to make sure we can clone a commit correctly
def test_fail_update(self):
# create an empty directory- and set that as the workspace
repo_resolver.resolve(test_dir, commit_dependency)
folder_path = os.path.join(test_dir, commit_dependency["Path"])
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], commit_dependency['Url'])
self.assertEqual(details['Commit'], commit_dependency['Commit'])
# first we checkout
with self.assertRaises(Exception):
repo_resolver.resolve(test_dir, commit_later_dependency)
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], commit_dependency['Url'])
self.assertEqual(details['Commit'], commit_dependency['Commit'])
def test_does_update(self):
# create an empty directory- and set that as the workspace
repo_resolver.resolve(test_dir, commit_dependency)
folder_path = os.path.join(test_dir, commit_dependency["Path"])
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], commit_dependency['Url'])
self.assertEqual(details['Commit'], commit_dependency['Commit'])
# first we checkout
try:
repo_resolver.resolve(
test_dir, commit_later_dependency, update_ok=True)
except:
self.fail("We are not supposed to throw an exception")
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], commit_later_dependency['Url'])
self.assertEqual(details['Commit'], commit_later_dependency['Commit'])
def test_cant_switch_urls(self):
# create an empty directory- and set that as the workspace
repo_resolver.resolve(test_dir, branch_dependency)
folder_path = os.path.join(test_dir, branch_dependency["Path"])
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], branch_dependency['Url'])
# first we checkout
with self.assertRaises(Exception):
repo_resolver.resolve(test_dir, microsoft_branch_dependency)
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], branch_dependency['Url'])
def test_ignore(self):
# create an empty directory- and set that as the workspace
repo_resolver.resolve(test_dir, branch_dependency)
folder_path = os.path.join(test_dir, branch_dependency["Path"])
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], branch_dependency['Url'])
# first we checkout
repo_resolver.resolve(
test_dir, microsoft_branch_dependency, ignore=True)
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], branch_dependency['Url'])
def test_will_switch_urls(self):
# create an empty directory- and set that as the workspace
repo_resolver.resolve(test_dir, branch_dependency)
folder_path = os.path.join(test_dir, branch_dependency["Path"])
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], branch_dependency['Url'])
# first we checkout
try:
repo_resolver.resolve(
test_dir, microsoft_branch_dependency, force=True)
except:
self.fail("We shouldn't fail when we are forcing")
details = repo_resolver.get_details(folder_path)
self.assertEqual(details['Url'], microsoft_branch_dependency['Url'])
if __name__ == '__main__':
unittest.main()
| 36.475836 | 118 | 0.678047 | 1,239 | 9,812 | 5.141243 | 0.126715 | 0.047253 | 0.06562 | 0.064992 | 0.821664 | 0.800157 | 0.784458 | 0.763893 | 0.738776 | 0.71978 | 0 | 0.015467 | 0.215858 | 9,812 | 268 | 119 | 36.61194 | 0.812451 | 0.113942 | 0 | 0.610526 | 0 | 0 | 0.124221 | 0.018471 | 0 | 0 | 0 | 0 | 0.157895 | 1 | 0.089474 | false | 0 | 0.026316 | 0 | 0.136842 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
078077943e8a700d6783111911dcfb4fce48bc05 | 28 | py | Python | xoodyak/pyxoodyak/__init__.py | rishubn/bluelight | b6df36d2729fd086d5c344392c471d7d0f1386dc | [
"Apache-2.0"
] | null | null | null | xoodyak/pyxoodyak/__init__.py | rishubn/bluelight | b6df36d2729fd086d5c344392c471d7d0f1386dc | [
"Apache-2.0"
] | null | null | null | xoodyak/pyxoodyak/__init__.py | rishubn/bluelight | b6df36d2729fd086d5c344392c471d7d0f1386dc | [
"Apache-2.0"
] | null | null | null | from .xoodyak import Xoodyak | 28 | 28 | 0.857143 | 4 | 28 | 6 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 28 | 1 | 28 | 28 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
07d15c528d3bb2ee30ce68f136a45186b7f38d07 | 80 | py | Python | ioapi/__init__.py | luisparravicini/ioapi | f9d60a28032fd54163ea15b8256aba1d48ec4dcc | [
"MIT"
] | null | null | null | ioapi/__init__.py | luisparravicini/ioapi | f9d60a28032fd54163ea15b8256aba1d48ec4dcc | [
"MIT"
] | null | null | null | ioapi/__init__.py | luisparravicini/ioapi | f9d60a28032fd54163ea15b8256aba1d48ec4dcc | [
"MIT"
] | 1 | 2020-05-03T04:34:32.000Z | 2020-05-03T04:34:32.000Z | from .wrapper import IOService, AuthorizationError, UnexpectedResponseCodeError
| 40 | 79 | 0.8875 | 6 | 80 | 11.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075 | 80 | 1 | 80 | 80 | 0.959459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
07d944a9229f9868e01c12ad50654add57b21376 | 151 | py | Python | tests/conftest.py | aliatiia/yearn-recycle | 2f4902158087c75b740ef711ba3509ae5d959eff | [
"MIT"
] | null | null | null | tests/conftest.py | aliatiia/yearn-recycle | 2f4902158087c75b740ef711ba3509ae5d959eff | [
"MIT"
] | null | null | null | tests/conftest.py | aliatiia/yearn-recycle | 2f4902158087c75b740ef711ba3509ae5d959eff | [
"MIT"
] | null | null | null | import pytest
from brownie import *
@pytest.fixture(scope='module')
def recycle(Recycle, accounts):
return Recycle.deploy({'from': accounts[0]})
| 18.875 | 48 | 0.728477 | 19 | 151 | 5.789474 | 0.684211 | 0.218182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007576 | 0.125828 | 151 | 7 | 49 | 21.571429 | 0.825758 | 0 | 0 | 0 | 0 | 0 | 0.066225 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0.2 | 0.8 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
07f37a03a045c21fe57fcd4bd50f4c643521d163 | 77 | py | Python | asana/resources/goals.py | maany/python-asana | a29f59e7f35461bde836126bbf3629dac1a642ab | [
"MIT"
] | null | null | null | asana/resources/goals.py | maany/python-asana | a29f59e7f35461bde836126bbf3629dac1a642ab | [
"MIT"
] | null | null | null | asana/resources/goals.py | maany/python-asana | a29f59e7f35461bde836126bbf3629dac1a642ab | [
"MIT"
] | null | null | null | from .gen.goals import _Goals
class Goals(_Goals):
"""Goals resource"""
| 15.4 | 29 | 0.688312 | 10 | 77 | 5.1 | 0.6 | 0.392157 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.168831 | 77 | 4 | 30 | 19.25 | 0.796875 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
5801d30146b10bf9651529a8ac411f41f4bec3d8 | 218 | py | Python | readthedocs/core/fields.py | tkoyama010/readthedocs.org | aac8fb39586db902d9fbb51b639dd281c819dae2 | [
"MIT"
] | 4,054 | 2015-01-01T00:58:07.000Z | 2019-06-28T05:50:49.000Z | readthedocs/core/fields.py | tkoyama010/readthedocs.org | aac8fb39586db902d9fbb51b639dd281c819dae2 | [
"MIT"
] | 4,282 | 2015-01-01T21:38:49.000Z | 2019-06-28T15:41:00.000Z | readthedocs/core/fields.py | mondeja/readthedocs.org | fb01c6d9d78272e3f4fd146697e8760c04e4fbb6 | [
"MIT"
] | 3,224 | 2015-01-01T07:38:45.000Z | 2019-06-28T09:19:10.000Z | # -*- coding: utf-8 -*-
"""Shared model fields and defaults."""
import binascii
import os
def default_token():
"""Generate default value for token field."""
return binascii.hexlify(os.urandom(20)).decode()
| 18.166667 | 52 | 0.674312 | 28 | 218 | 5.214286 | 0.821429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016484 | 0.165138 | 218 | 11 | 53 | 19.818182 | 0.785714 | 0.440367 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.5 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6afe874c9c6d5f2470a7be2378696049109fc772 | 51 | py | Python | __init__.py | angrymasther/Xarxa- | 09f60c63b5a2b8dd9956a4bf78c1acffd0cbc402 | [
"MIT"
] | null | null | null | __init__.py | angrymasther/Xarxa- | 09f60c63b5a2b8dd9956a4bf78c1acffd0cbc402 | [
"MIT"
] | null | null | null | __init__.py | angrymasther/Xarxa- | 09f60c63b5a2b8dd9956a4bf78c1acffd0cbc402 | [
"MIT"
] | null | null | null | from Analisis.py import *
from Attacks.py import *
| 17 | 25 | 0.764706 | 8 | 51 | 4.875 | 0.625 | 0.410256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.156863 | 51 | 2 | 26 | 25.5 | 0.906977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ed114890a2c3b6aa10dd355ad090997104da589b | 28 | py | Python | dgen_os/python/tezt.py | T-Man-Stan/dgen | b87acbee1a68b117ff9bf66dcc32502b909b6f36 | [
"BSD-3-Clause"
] | null | null | null | dgen_os/python/tezt.py | T-Man-Stan/dgen | b87acbee1a68b117ff9bf66dcc32502b909b6f36 | [
"BSD-3-Clause"
] | null | null | null | dgen_os/python/tezt.py | T-Man-Stan/dgen | b87acbee1a68b117ff9bf66dcc32502b909b6f36 | [
"BSD-3-Clause"
] | null | null | null | print('^^^ testtttting ^^^') | 28 | 28 | 0.571429 | 2 | 28 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.071429 | 28 | 1 | 28 | 28 | 0.615385 | 0 | 0 | 0 | 0 | 0 | 0.655172 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
ed198a30bb3f3a7f495372a25f510c9b031525e8 | 182 | py | Python | aa_stripe/utils.py | Icheka/django-stripe-api-integration | 2c26fdc4d4b85786fa933063f6eda2c81a8fd045 | [
"MIT"
] | 5 | 2017-07-01T22:28:58.000Z | 2018-05-26T01:14:01.000Z | aa_stripe/utils.py | Icheka/django-stripe-api-integration | 2c26fdc4d4b85786fa933063f6eda2c81a8fd045 | [
"MIT"
] | 55 | 2017-06-06T09:21:01.000Z | 2019-07-10T11:18:31.000Z | aa_stripe/utils.py | Icheka/django-stripe-api-integration | 2c26fdc4d4b85786fa933063f6eda2c81a8fd045 | [
"MIT"
] | 3 | 2017-11-03T14:40:30.000Z | 2019-02-26T05:19:30.000Z | from datetime import datetime
from django.utils import timezone
def timestamp_to_timezone_aware_date(timestamp):
return timezone.make_aware(datetime.fromtimestamp(timestamp))
| 22.75 | 65 | 0.840659 | 23 | 182 | 6.434783 | 0.608696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104396 | 182 | 7 | 66 | 26 | 0.907975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
ed2acdc395e5f57551e758d17abcf9b4fe5b8c65 | 84 | py | Python | stavia/utils/__init__.py | ngocjr7/stavia | 39c6c311f3888adb6d08b11190e651ed3b4ef01b | [
"MIT"
] | null | null | null | stavia/utils/__init__.py | ngocjr7/stavia | 39c6c311f3888adb6d08b11190e651ed3b4ef01b | [
"MIT"
] | null | null | null | stavia/utils/__init__.py | ngocjr7/stavia | 39c6c311f3888adb6d08b11190e651ed3b4ef01b | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from . import utils
from . import parameters | 21 | 38 | 0.833333 | 11 | 84 | 5.909091 | 0.545455 | 0.307692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 84 | 4 | 39 | 21 | 0.902778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ed2e7183e322387ac2f20796fca620a39a56a9e0 | 13,875 | py | Python | dfirtrack_main/tests/system/test_system_creator_views.py | thomas-kropeit/dfirtrack | b1e0e659af7bc8085cfe2d269ddc651f9f4ba585 | [
"Apache-2.0"
] | null | null | null | dfirtrack_main/tests/system/test_system_creator_views.py | thomas-kropeit/dfirtrack | b1e0e659af7bc8085cfe2d269ddc651f9f4ba585 | [
"Apache-2.0"
] | 6 | 2022-03-16T12:30:51.000Z | 2022-03-28T01:34:45.000Z | dfirtrack_main/tests/system/test_system_creator_views.py | thomas-kropeit/dfirtrack | b1e0e659af7bc8085cfe2d269ddc651f9f4ba585 | [
"Apache-2.0"
] | null | null | null | import urllib.parse
from django.contrib.auth.models import User
from django.contrib.messages import get_messages
from django.test import TestCase
from dfirtrack_config.models import Workflow
from dfirtrack_main.models import Analysisstatus, System, Systemstatus
class SystemCreatorViewTestCase(TestCase):
"""system creator view tests"""
@classmethod
def setUpTestData(cls):
# create user
test_user = User.objects.create_user(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# create objects
systemstatus_1 = Systemstatus.objects.create(systemstatus_name='systemstatus_1')
Systemstatus.objects.create(systemstatus_name='systemstatus_2')
System.objects.create(
system_name='system_creator_duplicate_system',
systemstatus=systemstatus_1,
system_created_by_user_id=test_user,
system_modified_by_user_id=test_user,
)
System.objects.create(
system_name='system_creator_duplicate_system_2',
systemstatus=systemstatus_1,
system_created_by_user_id=test_user,
system_modified_by_user_id=test_user,
)
# create objscts
Workflow.objects.create(
workflow_name='workflow_1',
workflow_created_by_user_id=test_user,
workflow_modified_by_user_id=test_user,
)
def test_system_creator_not_logged_in(self):
"""test creator view"""
# create url
destination = '/login/?next=' + urllib.parse.quote('/system/creator/', safe='')
# get response
response = self.client.get('/system/creator/', follow=True)
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_system_creator_logged_in(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# get response
response = self.client.get('/system/creator/')
# compare
self.assertEqual(response.status_code, 200)
def test_system_creator_template(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# get response
response = self.client.get('/system/creator/')
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/system/system_creator.html')
def test_system_creator_get_user_context(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# get response
response = self.client.get('/system/creator/')
# compare
self.assertEqual(str(response.context['user']), 'testuser_system_creator')
def test_system_creator_context_workflows(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# get response
response = self.client.get('/system/creator/')
# compare
self.assertEqual(str(response.context['workflows'][0]), 'workflow_1')
def test_system_creator_redirect(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# create url
destination = urllib.parse.quote('/system/creator/', safe='/')
# get response
response = self.client.get('/system/creator', follow=True)
# compare
self.assertRedirects(
response, destination, status_code=301, target_status_code=200
)
def test_system_creator_post_redirect(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# get objects
systemstatus_2 = Systemstatus.objects.get(systemstatus_name='systemstatus_2')
# create post data
data_dict = {
'systemlist': 'system_creator_redirect',
'systemstatus': systemstatus_2.systemstatus_id,
}
# create url
destination = '/system/'
# get response
response = self.client.post('/system/creator/', data_dict)
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_system_creator_post_systems(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# create objects
analysisstatus_1 = Analysisstatus.objects.create(
analysisstatus_name='analysisstatus_1'
)
systemstatus_2 = Systemstatus.objects.get(systemstatus_name='systemstatus_2')
# prepare content for systemlist
systemlist_field = (
'system_creator_system_1'
+ '\n'
+ 'system_creator_system_2'
+ '\n'
+ 'system_creator_system_3'
+ '\n'
+ ''
+ '\n'
+ 'x' * 256
+ '\n'
+ 'system_creator_duplicate_system'
)
# create post data
data_dict = {
'systemlist': systemlist_field,
'analysisstatus': analysisstatus_1.analysisstatus_id,
'systemstatus': systemstatus_2.systemstatus_id,
}
# get response
self.client.post('/system/creator/', data_dict)
# compare
self.assertTrue(
System.objects.filter(system_name='system_creator_system_1').exists()
)
self.assertTrue(
System.objects.filter(system_name='system_creator_system_2').exists()
)
self.assertTrue(
System.objects.filter(system_name='system_creator_system_3').exists()
)
self.assertFalse(
System.objects.filter(system_name='system_creator_system_4').exists()
)
self.assertEqual(
System.objects.get(system_name='system_creator_system_1').analysisstatus,
analysisstatus_1,
)
self.assertEqual(
System.objects.get(system_name='system_creator_system_1').systemstatus,
systemstatus_2,
)
self.assertEqual(
System.objects.filter(
system_name='system_creator_duplicate_system'
).count(),
1,
)
def test_system_creator_post_messages(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# create objects
analysisstatus_1 = Analysisstatus.objects.create(
analysisstatus_name='analysisstatus_1'
)
systemstatus_2 = Systemstatus.objects.get(systemstatus_name='systemstatus_2')
# prepare content for systemlist
systemlist_field = (
'system_creator_message_1'
+ '\n'
+ 'system_creator_message_2'
+ '\n'
+ 'system_creator_message_3'
+ '\n'
+ '\n'
+ 'x' * 256
+ '\n'
+ 'system_creator_duplicate_system'
)
# create post data
data_dict = {
'systemlist': systemlist_field,
'analysisstatus': analysisstatus_1.analysisstatus_id,
'systemstatus': systemstatus_2.systemstatus_id,
}
# get response
response = self.client.post('/system/creator/', data_dict)
# get messages
messages = list(get_messages(response.wsgi_request))
# compare
self.assertEqual(str(messages[0]), 'System creator started')
self.assertEqual(str(messages[1]), '3 systems were created / modified.')
self.assertEqual(
str(messages[2]),
"1 system was skipped. ['system_creator_duplicate_system']",
)
self.assertEqual(
str(messages[3]),
'2 lines out of 6 lines were faulty (see log file for details).',
)
def test_system_creator_post_other_messages(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# create objects
analysisstatus_1 = Analysisstatus.objects.create(
analysisstatus_name='analysisstatus_1'
)
systemstatus_2 = Systemstatus.objects.get(systemstatus_name='systemstatus_2')
# prepare content for systemlist
systemlist_field = (
'system_creator_message_4'
+ '\n'
+ ''
+ '\n'
+ 'system_creator_duplicate_system'
+ '\n'
+ 'system_creator_duplicate_system_2'
)
# create post data
data_dict = {
'systemlist': systemlist_field,
'analysisstatus': analysisstatus_1.analysisstatus_id,
'systemstatus': systemstatus_2.systemstatus_id,
}
# get response
response = self.client.post('/system/creator/', data_dict)
# get messages
messages = list(get_messages(response.wsgi_request))
# compare
self.assertEqual(str(messages[1]), '1 system was created / modified.')
self.assertEqual(
str(messages[2]),
"2 systems were skipped. ['system_creator_duplicate_system', 'system_creator_duplicate_system_2']",
)
self.assertEqual(
str(messages[3]),
'1 line out of 4 lines was faulty (see log file for details).',
)
def test_system_creator_post_strip(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# get user
test_user = User.objects.get(username='testuser_system_creator')
# create objects
analysisstatus_1 = Analysisstatus.objects.create(
analysisstatus_name='analysisstatus_1'
)
systemstatus_1 = Systemstatus.objects.get(systemstatus_name='systemstatus_1')
# create system
System.objects.create(
system_name='system_creator_strip',
systemstatus=systemstatus_1,
system_created_by_user_id=test_user,
system_modified_by_user_id=test_user,
)
# prepare content for systemlist
systemlist_field = (
'system_creator_strip'
+ '\n'
+ ' system_creator_strip'
+ '\n'
+ 'system_creator_strip '
+ '\n'
+ ' system_creator_strip '
)
# create post data
data_dict = {
'systemlist': systemlist_field,
'analysisstatus': analysisstatus_1.analysisstatus_id,
'systemstatus': systemstatus_1.systemstatus_id,
}
# get response
response = self.client.post('/system/creator/', data_dict)
# get messages
messages = list(get_messages(response.wsgi_request))
# compare
self.assertEqual(
str(messages[1]),
"4 systems were skipped. ['system_creator_strip', 'system_creator_strip', 'system_creator_strip', 'system_creator_strip']",
)
def test_system_creator_post_workflow_messages(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# create objects
analysisstatus_1 = Analysisstatus.objects.create(
analysisstatus_name='analysisstatus_1'
)
systemstatus_2 = Systemstatus.objects.get(systemstatus_name='systemstatus_2')
workflow_1 = Workflow.objects.get(workflow_name='workflow_1')
# create post data
data_dict = {
'systemlist': 'system_creator_workflow_1',
'analysisstatus': analysisstatus_1.analysisstatus_id,
'systemstatus': systemstatus_2.systemstatus_id,
'workflow': workflow_1.workflow_id,
}
# get response
response = self.client.post('/system/creator/', data_dict, follow=True)
# compare
self.assertContains(response, 'System creator/modificator workflows applied.')
def test_system_creator_post_nonexistent_workflow_messages(self):
"""test creator view"""
# login testuser
self.client.login(
username='testuser_system_creator', password='Jbf5fZBhpg1aZsCW6L8r'
)
# create objects
analysisstatus_1 = Analysisstatus.objects.create(
analysisstatus_name='analysisstatus_1'
)
systemstatus_2 = Systemstatus.objects.get(systemstatus_name='systemstatus_2')
workflow_1 = Workflow.objects.get(workflow_name='workflow_1')
# create post data
data_dict = {
'systemlist': 'system_creator_workflow_2',
'analysisstatus': analysisstatus_1.analysisstatus_id,
'systemstatus': systemstatus_2.systemstatus_id,
'workflow': [workflow_1.workflow_id, 99],
}
# get response
response = self.client.post('/system/creator/', data_dict, follow=True)
# compare
self.assertContains(response, 'Could not apply all workflows.')
| 35.395408 | 135 | 0.612757 | 1,322 | 13,875 | 6.152799 | 0.092284 | 0.131055 | 0.038726 | 0.049914 | 0.859233 | 0.804278 | 0.786083 | 0.761249 | 0.721293 | 0.68478 | 0 | 0.01763 | 0.292757 | 13,875 | 391 | 136 | 35.485934 | 0.811271 | 0.086126 | 0 | 0.518116 | 0 | 0 | 0.218209 | 0.094236 | 0 | 0 | 0 | 0 | 0.086957 | 1 | 0.050725 | false | 0.047101 | 0.021739 | 0 | 0.076087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
ed46de8d100135656d75f169356bd783ad66aa78 | 2,671 | py | Python | tests/test_unions.py | bibajz/cattrs | 59edafdac38d4f9acd9ab2769380e3ec128a16a7 | [
"MIT"
] | null | null | null | tests/test_unions.py | bibajz/cattrs | 59edafdac38d4f9acd9ab2769380e3ec128a16a7 | [
"MIT"
] | null | null | null | tests/test_unions.py | bibajz/cattrs | 59edafdac38d4f9acd9ab2769380e3ec128a16a7 | [
"MIT"
] | null | null | null | from typing import Type, Union
import attr
import pytest
from cattr._compat import is_py310_plus
from cattr.converters import Converter, GenConverter
@pytest.mark.parametrize("cls", (Converter, GenConverter))
def test_custom_union_toplevel_roundtrip(cls: Type[Converter]):
"""
Test custom code union handling.
We override union unstructuring to add the class type, and union structuring
to use the class type.
"""
c = cls()
@attr.define
class A:
a: int
@attr.define
class B:
a: int
c.register_unstructure_hook(
Union[A, B], lambda o: {"_type": o.__class__.__name__, **c.unstructure(o)}
)
c.register_structure_hook(
Union[A, B], lambda o, t: c.structure(o, A if o["_type"] == "A" else B)
)
inst = B(1)
unstructured = c.unstructure(inst, unstructure_as=Union[A, B])
assert unstructured["_type"] == "B"
assert c.structure(unstructured, Union[A, B]) == inst
@pytest.mark.skipif(not is_py310_plus, reason="3.10 union syntax")
@pytest.mark.parametrize("cls", (Converter, GenConverter))
def test_310_custom_union_toplevel_roundtrip(cls: Type[Converter]):
"""
Test custom code union handling.
We override union unstructuring to add the class type, and union structuring
to use the class type.
"""
c = cls()
@attr.define
class A:
a: int
@attr.define
class B:
a: int
c.register_unstructure_hook(
A | B, lambda o: {"_type": o.__class__.__name__, **c.unstructure(o)}
)
c.register_structure_hook(
A | B, lambda o, t: c.structure(o, A if o["_type"] == "A" else B)
)
inst = B(1)
unstructured = c.unstructure(inst, unstructure_as=A | B)
assert unstructured["_type"] == "B"
assert c.structure(unstructured, A | B) == inst
@pytest.mark.parametrize("cls", (Converter, GenConverter))
def test_custom_union_clsfield_roundtrip(cls: Type[Converter]):
"""
Test custom code union handling.
We override union unstructuring to add the class type, and union structuring
to use the class type.
"""
c = cls()
@attr.define
class A:
a: int
@attr.define
class B:
a: int
@attr.define
class C:
f: Union[A, B]
c.register_unstructure_hook(
Union[A, B], lambda o: {"_type": o.__class__.__name__, **c.unstructure(o)}
)
c.register_structure_hook(
Union[A, B], lambda o, t: c.structure(o, A if o["_type"] == "A" else B)
)
inst = C(A(1))
unstructured = c.unstructure(inst)
assert unstructured["f"]["_type"] == "A"
assert c.structure(unstructured, C) == inst
| 24.504587 | 82 | 0.634968 | 367 | 2,671 | 4.444142 | 0.174387 | 0.013489 | 0.064378 | 0.033109 | 0.844267 | 0.803801 | 0.803801 | 0.803801 | 0.771919 | 0.771919 | 0 | 0.007386 | 0.239611 | 2,671 | 108 | 83 | 24.731481 | 0.795667 | 0.150131 | 0 | 0.590909 | 0 | 0 | 0.035455 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.045455 | false | 0 | 0.075758 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
ed69a8a2d10c340c92e9ddb0a68b45cd5d27944a | 40,007 | py | Python | src/datamigration/azext_datamigration/manual/tests/latest/test_datamigration_scenario.py | haroonf/azure-cli-extensions | 61c044d34c224372f186934fa7c9313f1cd3a525 | [
"MIT"
] | null | null | null | src/datamigration/azext_datamigration/manual/tests/latest/test_datamigration_scenario.py | haroonf/azure-cli-extensions | 61c044d34c224372f186934fa7c9313f1cd3a525 | [
"MIT"
] | 9 | 2022-03-25T19:35:49.000Z | 2022-03-31T06:09:47.000Z | src/datamigration/azext_datamigration/manual/tests/latest/test_datamigration_scenario.py | haroonf/azure-cli-extensions | 61c044d34c224372f186934fa7c9313f1cd3a525 | [
"MIT"
] | 1 | 2022-03-10T22:13:02.000Z | 2022-03-10T22:13:02.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
# pylint: disable=line-too-long
# pylint: disable=unused-import
import time
# Env setup_scenario
def setup_scenario(test):
test.kwargs.update({
"serviceRG": "CLIUnitTest",
"sqlMigrationService": "dmsCliUnitTest",
"location": "eastus2euap",
"createSqlMigrationService": "sqlServiceUnitTest-Pipeline2"
}),
test.kwargs.update({
"miRG": "migrationTesting",
"managedInstance": "migrationtestmi",
"miTargetDb": "tsum-CLI-MIOnline"
}),
test.kwargs.update({
"vmRG": "tsum38RG",
"virtualMachine": "DMSCmdletTest-SqlVM",
"vmTargetDb": "tsum-Db-VM"
}),#12. Create Common Params
test.kwargs.update({
"migrationService": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/tsum38RG/providers/Microsoft.DataMigration/SqlMigrationServices/tsuman-IR2",
"miScope": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/MigrationTesting/providers/Microsoft.Sql/managedInstances/migrationtestmi",
"vmScope": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/tsum38RG/providers/Microsoft.SqlVirtualMachine/SqlVirtualMachines/DMSCmdletTest-SqlVM",
"sourceDBName": "AdventureWorks",
"miRG": "MigrationTesting",
"authentication": "SqlAuthentication",
"dataSource":"AALAB03-2K8.REDMOND.CORP.MICROSOFT.COM",
"password": "XXXXXXXXXXXX",
"userName": "hijavatestuser1",
"accountKey": "XXXXXXXXXXXX/XXXXXXXXXXXX",
"storageAccountId": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/aaskhan/providers/Microsoft.Storage/storageAccounts/aasimmigrationtest"
}), # MI Online FileShare
test.kwargs.update({
"miOnlineFsTargetDb": "tsum-Db-mi-online-fs9",
"fsSourceLocation":"'{\"fileShare\":{\"path\":\"\\\\\\\\aalab03-2k8.redmond.corp.microsoft.com\\\\SharedBackup\\\\tsuman\",\"password\":\"XXXXXXXXXXXX\",\"username\":\"AALAB03-2K8\\hijavatestlocaluser\"}}'"
}), #Blob
test.kwargs.update({
"blobSourceLocation": "'{\"AzureBlob\":{\"storageAccountResourceId\":\"/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/tzppesignoff1211/providers/Microsoft.Storage/storageAccounts/hijavateststorage\",\"accountKey\":\"XXXXXXXXXXXX/XXXXXXXXXXXX\",\"blobContainerName\":\"tsum38-adventureworks\"}}'",
"miOnlineBlobTargetDb":"tsum-Db-mi-online-blob9"
}), # VM DBs
test.kwargs.update({
"vmOnlineFsTargetDb":"tsum-Db-vm-online-fs9",
"vmOnlineBlobTargetDb": "tsum-Db-vm-online-blob10"
})# Offline
test.kwargs.update({
"lastBackupName":"AdventureWorksTransactionLog2.trn",
"miOfflineFsTargetDb":"tsum-Db-mi-offline-fs",
"miOfflineBlobTargetDb": "tsum-Db-mi-offline-blob",
"vmOfflineFsTargetDb":"tsum-Db-vm-offline-fs",
"vmOfflineBlobTargetDb": "tsum-Db-vm-offline-blob9"
}) # Show DB parameters
test.kwargs.update({
"dbRG":"tsum38RG",
"sqlserver":"dmstestsqldb",
"dbTargetDb": "NewDb"
}) # Db Migration parameters
test.kwargs.update({
"targetDataSource":"dmstestsqldb.database.windows.net",
"targetUserName":"demouser",
"targetPassword": "XXXXXXXXXXXX",
"targetAuthentication": "SqlAuthentication",
"dbSourceDBName": "Brih",
"tableName": "[dbo].[Table_1]",
"dbScope": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/tsum38RG/providers/Microsoft.Sql/servers/dmstestsqldb"
})
#Test Cases
#1. SQL Service Create
def step_sql_service_create(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-service create '
'--location "{location}" '
'--resource-group "{serviceRG}" '
'--name "{createSqlMigrationService}"',
checks=checks)
#2. SQL Service Show
def step_sql_service_show(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-service show '
'--resource-group "{serviceRG}" '
'--name "{sqlMigrationService}"',
checks=checks)
#3. SQL Service List RG
def step_sql_service_list_rg(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-service list '
'--resource-group "{serviceRG}"',
checks=checks)
#4. SQL Service List Sub
def step_sql_service_list_sub(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-service list ',
checks=checks)
#5. SQL Service List Migration
def step_sql_service_list_migration(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-service list-migration '
'--resource-group "{serviceRG}" '
'--name "{sqlMigrationService}"',
checks=checks)
#6. SQL Service List Auth Keys
def step_sql_service_list_auth_key(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-service list-auth-key '
'--resource-group "{serviceRG}" '
'--name "{sqlMigrationService}"',
checks=checks)
#7. SQL Service Regererate Auth Keys
def step_sql_service_regenerate_auth_key(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-service regenerate-auth-key '
'--key-name "authKey1" '
'--resource-group "{serviceRG}" '
'--name "{sqlMigrationService}"',
checks=checks)
#8. SQL Service Regererate Auth Keys
def step_sql_service_list_integration_runtime_metric(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-service list-integration-runtime-metric '
'--resource-group "{serviceRG}" '
'--name "{sqlMigrationService}"',
checks=checks)
#9. SQL Service Delete
def step_sql_service_delete(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-service delete -y '
'--resource-group "{serviceRG}" '
'--name "{createSqlMigrationService}"',
checks=checks)
#10. MI Show
def step_sql_managed_instance_show(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-managed-instance show '
'--managed-instance-name "{managedInstance}" '
'--resource-group "{miRG}" '
'--target-db-name "{miTargetDb}"',
checks=checks)
#11. VM Show
def step_sql_vm_show(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-vm show '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}" '
'--target-db-name "{vmTargetDb}"',
checks=checks)
#12. MI Online FileShare Create
def step_sql_managed_instance_online_fileshare_create(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-managed-instance create '
'--source-location {fsSourceLocation} '
'--target-location account-key="{accountKey}" storage-account-resource-id="{storageAccountId}" '
'--migration-service "{migrationService}" '
'--scope "{miScope}" '
'--source-database-name "{sourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-db-name "{miOnlineFsTargetDb}" '
'--resource-group "{miRG}" '
'--managed-instance-name "{managedInstance}"',
checks=checks)
#13.1 MI Online FileShare Cutover
def step_sql_managed_instance_online_fileshare_cutover(test, checks=None):
if checks is None:
checks = []
miOnlinefileShareMigrationStats = test.cmd('az datamigration sql-managed-instance show '
'--managed-instance-name "{managedInstance}" '
'--resource-group "{miRG}" '
'--target-db-name "{miOnlineFsTargetDb}" '
'--expand=MigrationStatusDetails').get_output_in_json()
miOnlineFsIsfullBackupRestore = miOnlinefileShareMigrationStats["properties"]["migrationStatusDetails"]["isFullBackupRestored"]
migrationStatus = miOnlinefileShareMigrationStats["properties"]["migrationStatus"]
test.kwargs.update({
"miOnlineFsMigrationId": miOnlinefileShareMigrationStats["properties"]["migrationOperationId"]})
while miOnlineFsIsfullBackupRestore != True and migrationStatus != "Failed":
time.sleep(10)
miOnlinefileShareMigrationStats = test.cmd('az datamigration sql-managed-instance show '
'--managed-instance-name "{managedInstance}" '
'--resource-group "{miRG}" '
'--target-db-name "{miOnlineFsTargetDb}" '
'--expand=MigrationStatusDetails').get_output_in_json()
miOnlineFsIsfullBackupRestore = miOnlinefileShareMigrationStats["properties"]["migrationStatusDetails"]["isFullBackupRestored"]
migrationStatus = miOnlinefileShareMigrationStats["properties"]["migrationStatus"]
test.cmd('az datamigration sql-managed-instance cutover '
'--resource-group "{miRG}" '
'--managed-instance-name "{managedInstance}" '
'--target-db-name "{miOnlineFsTargetDb}" '
'--migration-operation-id "{miOnlineFsMigrationId}"',
checks=checks)
#13.2 MI Online FileShare Cutover
def step_sql_managed_instance_online_fileshare_cutover_Confirm(test, checks=None):
if checks is None:
checks = []
miOnlinefileShareMigrationStats = test.cmd('az datamigration sql-managed-instance show '
'--resource-group "{miRG}" '
'--managed-instance-name "{managedInstance}" '
'--target-db-name "{miOnlineFsTargetDb}"',
checks=checks).get_output_in_json()
migrationStatus = miOnlinefileShareMigrationStats["properties"]["migrationStatus"]
while migrationStatus != "Succeeded" and migrationStatus != "Failed":
time.sleep(10)
miOnlinefileShareMigrationStats = test.cmd('az datamigration sql-vm show '
'--resource-group "{miRG}" '
'--sql-vm-name "{managedInstance}" '
'--target-db-name "{miOnlineFsTargetDb}"',
checks=checks).get_output_in_json()
migrationStatus = miOnlinefileShareMigrationStats["properties"]["migrationStatus"]
#14. MI Online Blob Create
def step_sql_managed_instance_online_blob_create(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-managed-instance create '
'--source-location {blobSourceLocation} '
'--target-location account-key="{accountKey}" storage-account-resource-id="{storageAccountId}" '
'--migration-service "{migrationService}" '
'--scope "{miScope}" '
'--source-database-name "{sourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-db-name "{miOnlineBlobTargetDb}" '
'--resource-group "{miRG}" '
'--managed-instance-name "{managedInstance}"',
checks=checks)
#15.1 MI Online Blob Cancel
def step_sql_managed_instance_online_blob_cancel(test, checks=None):
if checks is None:
checks = []
miOnlineBlobMigrationStats = test.cmd('az datamigration sql-managed-instance show '
'--managed-instance-name "{managedInstance}" '
'--resource-group "{miRG}" '
'--target-db-name "{miOnlineBlobTargetDb}" '
'--expand=MigrationStatusDetails').get_output_in_json()
test.kwargs.update({
"miOnlineBlobMigrationId": miOnlineBlobMigrationStats["properties"]["migrationOperationId"]})
test.cmd('az datamigration sql-managed-instance cancel '
'--resource-group "{miRG}" '
'--managed-instance-name "{managedInstance}" '
'--target-db-name "{miOnlineBlobTargetDb}" '
'--migration-operation-id "{miOnlineBlobMigrationId}"',
checks=checks)
#15.2 MI Online Blob Cancel Confirm
def step_sql_managed_instance_online_blob_cancel_Confirm(test, checks=None):
if checks is None:
checks = []
miOnlineBlobStats = test.cmd('az datamigration sql-managed-instance show '
'--resource-group "{miRG}" '
'--managed-instance-name "{managedInstance}" '
'--target-db-name "{miOnlineBlobTargetDb}"',
checks=checks).get_output_in_json()
miiOnlineBlobStatus = miOnlineBlobStats["properties"]["migrationStatus"]
while miiOnlineBlobStatus != "Canceled" and miiOnlineBlobStatus != "Failed":
time.sleep(10)
miOnlineBlobStats = test.cmd('az datamigration sql-managed-instance show '
'--resource-group "{miRG}" '
'--managed-instance-name "{managedInstance}" '
'--target-db-name "{miOnlineBlobTargetDb}"',
checks=checks).get_output_in_json()
miiOnlineBlobStatus = miOnlineBlobStats["properties"]["migrationStatus"]
#16. VM Online FileShare Create
def step_sql_vm_online_fileshare_create(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-vm create '
'--source-location {fsSourceLocation} '
'--target-location account-key="{accountKey}" storage-account-resource-id="{storageAccountId}" '
'--migration-service "{migrationService}" '
'--scope "{vmScope}" '
'--source-database-name "{sourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-db-name "{vmOnlineFsTargetDb}" '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}"',
checks=checks)
#17.1 VM Online FileShare Cutover
def step_sql_vm_online_fileshare_cutover(test, checks=None):
if checks is None:
checks = []
vmOnlinefileShareMigrationStats = test.cmd('az datamigration sql-vm show '
'--sql-vm-name "{virtualMachine}" '
'--resource-group "{vmRG}" '
'--target-db-name "{vmOnlineFsTargetDb}" '
'--expand=MigrationStatusDetails').get_output_in_json()
vmOnlineFsIsfullBackupRestore = vmOnlinefileShareMigrationStats["properties"]["migrationStatusDetails"]["isFullBackupRestored"]
migrationStatus = vmOnlinefileShareMigrationStats["properties"]["migrationStatus"]
test.kwargs.update({
"vmOnlineFsMigrationId": vmOnlinefileShareMigrationStats["properties"]["migrationOperationId"]})
while vmOnlineFsIsfullBackupRestore != True and migrationStatus != "Failed":
time.sleep(10)
vmOnlinefileShareMigrationStats = test.cmd('az datamigration sql-vm show '
'--sql-vm-name "{virtualMachine}" '
'--resource-group "{vmRG}" '
'--target-db-name "{vmOnlineFsTargetDb}" '
'--expand=MigrationStatusDetails').get_output_in_json()
migrationStatus = vmOnlinefileShareMigrationStats["properties"]["migrationStatus"]
vmOnlineFsIsfullBackupRestore = vmOnlinefileShareMigrationStats["properties"]["migrationStatusDetails"]["isFullBackupRestored"]
test.cmd('az datamigration sql-vm cutover '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}" '
'--target-db-name "{vmOnlineFsTargetDb}" '
'--migration-operation-id "{vmOnlineFsMigrationId}"',
checks=checks)
#17.2 VM Online FileShare Cutover Confirm
def step_sql_vm_online_fileshare_cutover_Confirm(test, checks=None):
if checks is None:
checks = []
vmOnlinefileShareMigrationStats = test.cmd('az datamigration sql-vm show '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}" '
'--target-db-name "{vmOnlineFsTargetDb}"',
checks=checks).get_output_in_json()
migrationStatus = vmOnlinefileShareMigrationStats["properties"]["migrationStatus"]
while migrationStatus != "Succeeded" and migrationStatus != "Failed":
time.sleep(10)
vmOnlinefileShareMigrationStats = test.cmd('az datamigration sql-vm show '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}" '
'--target-db-name "{vmOnlineFsTargetDb}"',
checks=checks).get_output_in_json()
migrationStatus = vmOnlinefileShareMigrationStats["properties"]["migrationStatus"]
#18. VM Online Blob Create
def step_sql_vm_online_blob_create(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-vm create '
'--source-location {blobSourceLocation} '
'--target-location account-key="{accountKey}" storage-account-resource-id="{storageAccountId}" '
'--migration-service "{migrationService}" '
'--scope "{vmScope}" '
'--source-database-name "{sourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-db-name "{vmOnlineBlobTargetDb}" '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}"',
checks=checks)
#19.1 VM Online Blob Cancel
def step_sql_vm_online_blob_cancel(test, checks=None):
if checks is None:
checks = []
vmOnlineBlobMigrationStats = test.cmd('az datamigration sql-vm show '
'--sql-vm-name "{virtualMachine}" '
'--resource-group "{vmRG}" '
'--target-db-name "{vmOnlineBlobTargetDb}" '
'--expand=MigrationStatusDetails').get_output_in_json()
test.kwargs.update({
"vmOnlineBlobMigrationId": vmOnlineBlobMigrationStats["properties"]["migrationOperationId"]
})
test.cmd('az datamigration sql-vm cancel '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}" '
'--target-db-name "{vmOnlineBlobTargetDb}" '
'--migration-operation-id "{vmOnlineBlobMigrationId}"',
checks=checks)
#19.2 VM Online Blob Cancel
def step_sql_vm_online_blob_cancel_Confirm(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-vm show '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}" '
'--target-db-name "{vmOnlineBlobTargetDb}"',
checks=checks)
'''
#20. MI Offline FS Create
def step_sql_managed_instance_offline_fileshare_create(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-managed-instance create '
'--source-location {fsSourceLocation} '
'--target-location account-key="{accountKey}" storage-account-resource-id="{storageAccountId}" '
'--migration-service "{migrationService}" '
'--scope "{miScope}" '
'--source-database-name "{sourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-db-name "{miOfflineFsTargetDb}" '
'--resource-group "{miRG}" '
'--managed-instance-name "{managedInstance}" '
'--offline-configuration offline=true last-backup-name="{lastBackupName}"',
checks=checks)
#21. MI Offline Blob Create
def step_sql_managed_instance_offline_blob_create (test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-managed-instance create '
'--source-location {blobSourceLocation} '
'--target-location account-key="{accountKey}" storage-account-resource-id="{storageAccountId}" '
'--migration-service "{migrationService}" '
'--scope "{miScope}" '
'--source-database-name "{sourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-db-name "{miOfflineBlobTargetDb}" '
'--resource-group "{miRG}" '
'--managed-instance-name "{managedInstance}" '
'--offline-configuration offline=true last-backup-name="{lastBackupName}"',
checks=checks)
#22. VM Offline FS Create
def step_sql_vm_offline_fileshare_create (test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-vm create '
'--source-location {fsSourceLocation} '
'--target-location account-key="{accountKey}" storage-account-resource-id="{storageAccountId}" '
'--migration-service "{migrationService}" '
'--scope "{vmScope}" '
'--source-database-name "{sourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-db-name "{vmOfflineFsTargetDb}" '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}" '
'--offline-configuration offline=true last-backup-name="{lastBackupName}"',
checks=checks)
'''
#23. VM Offline Blob Create
def step_sql_vm_offline_blob_create(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-vm create '
'--source-location {blobSourceLocation} '
'--target-location account-key="{accountKey}" storage-account-resource-id="{storageAccountId}" '
'--migration-service "{migrationService}" '
'--scope "{vmScope}" '
'--source-database-name "{sourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-db-name "{vmOfflineBlobTargetDb}" '
'--resource-group "{vmRG}" '
'--sql-vm-name "{virtualMachine}" '
'--offline-configuration offline=true last-backup-name="{lastBackupName}"',
checks=checks)
#24. DB Migration Show
def step_sql_db_show(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-db show '
'--sqldb-instance-name "{sqlserver}" '
'--resource-group "{dbRG}" '
'--target-db-name "{dbTargetDb}"',
checks=checks)
#25. DB Migration create
def step_sql_db_offline_create(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-db create '
'--migration-service "{migrationService}" '
'--scope "{dbScope}" '
'--source-database-name "{dbSourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-sql-connection authentication="{targetAuthentication}" data-source="{targetDataSource}" password="{targetPassword}" user-name="{targetUserName}" '
'--target-db-name "{dbTargetDb}" '
'--resource-group "{dbRG}" '
'--sqldb-instance-name "{sqlserver}"',
checks=checks)
#26. DB Migration selected tables create
def step_sql_db_offline_tablelist_create(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-db create '
'--migration-service "{migrationService}" '
'--scope "{dbScope}" '
'--source-database-name "{dbSourceDBName}" '
'--source-sql-connection authentication="{authentication}" data-source="{dataSource}" password="{password}" user-name="{userName}" '
'--target-sql-connection authentication="{targetAuthentication}" data-source="{targetDataSource}" password="{targetPassword}" user-name="{targetUserName}" '
'--table-list "{tableName}" '
'--target-db-name "{dbTargetDb}" '
'--resource-group "{dbRG}" '
'--sqldb-instance-name "{sqlserver}"',
checks=checks)
#26. DB Migration Delete
def step_sql_db_offline_delete(test, checks=None):
if checks is None:
checks = []
test.cmd('az datamigration sql-db delete '
'--sqldb-instance-name "{sqlserver}" '
'--resource-group "{dbRG}" '
'--target-db-name "{dbTargetDb}" '
'--force -y',
checks=checks)
#26. DB Migration cancel
def step_sql_db_offline_cancel(test, checks=None):
if checks is None:
checks = []
dbOfflineMigrationStats = test.cmd('az datamigration sql-db show '
'--sqldb-instance-name "{sqlserver}" '
'--resource-group "{dbRG}" '
'--target-db-name "{dbTargetDb}" '
'--expand=MigrationStatusDetails').get_output_in_json()
test.kwargs.update({
"dbOfflineCancelMigrationId": dbOfflineMigrationStats["properties"]["migrationOperationId"]
})
test.cmd('az datamigration sql-db cancel '
'--resource-group "{dbRG}" '
'--sqldb-instance-name "{sqlserver}" '
'--target-db-name "{dbTargetDb}" '
'--migration-operation-id "{dbOfflineCancelMigrationId}"',
checks=checks)
#26. DB Migration selected tables check for completion
def step_sql_db_offline_tablelist_complete(test, checks=None):
if checks is None:
checks = []
dbOfflineMigrationStats = test.cmd('az datamigration sql-db show '
'--sqldb-instance-name "{sqlserver}" '
'--resource-group "{dbRG}" '
'--target-db-name "{dbTargetDb}" '
'--expand=MigrationStatusDetails').get_output_in_json()
migrationStatus = dbOfflineMigrationStats["properties"]["migrationStatus"]
while migrationStatus == "InProgress":
time.sleep(30)
dbOfflineMigrationStats = test.cmd('az datamigration sql-db show '
'--sqldb-instance-name "{sqlserver}" '
'--resource-group "{dbRG}" '
'--target-db-name "{dbTargetDb}" '
'--expand=MigrationStatusDetails').get_output_in_json()
migrationStatus = dbOfflineMigrationStats["properties"]["migrationStatus"]
test.cmd('az datamigration sql-db show '
'--sqldb-instance-name "{sqlserver}" '
'--resource-group "{dbRG}" '
'--target-db-name "{dbTargetDb}"',
checks=checks)
# Env cleanup_scenario
def cleanup_scenario(test):
pass
# # Testcase: Scenario
def call_scenario(test):
setup_scenario(test)
try:
#1. SQL Service Create
step_sql_service_create(test, checks=[
test.check("location", "{location}", case_sensitive=False),
test.check("name", "{createSqlMigrationService}", case_sensitive=False),
test.check("provisioningState", "Succeeded", case_sensitive=False)
])
#2. SQL Service Show
step_sql_service_show(test, checks=[
test.check("location", "{location}", case_sensitive=False),
test.check("name", "{sqlMigrationService}", case_sensitive=False)
])
#3. SQL Service List RG
step_sql_service_list_rg(test)
'''
#4. SQL Service List Sub
step_sql_service_list_sub(test)
'''
#5. SQL Service List Migration
step_sql_service_list_migration(test)
#6. SQL Service List Auth Keys
step_sql_service_list_auth_key(test)
#7. SQL Service Regererate Auth Keys
step_sql_service_regenerate_auth_key(test)
#8. SQL Service Regererate Auth Keys
step_sql_service_list_integration_runtime_metric(test, checks=[
test.check("name", "default-ir", case_sensitive=False)
])
#9. SQL Service Delete
step_sql_service_delete(test)
#10. MI Show
step_sql_managed_instance_show(test, checks=[
test.check("name", "{miTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlMi", case_sensitive=False)
])
# #11. VM Show
step_sql_vm_show(test, checks=[
test.check("name", "{vmTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlVm", case_sensitive=False)
])
# #12. MI Online FileShare Create
# step_sql_managed_instance_online_fileshare_create(test, checks=[
# test.check("name", "{miOnlineFsTargetDb}", case_sensitive=False),
# test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
# test.check("properties.kind", "SqlMi", case_sensitive=False),
# test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
# test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
# ])
# #13.1 MI Online FileShare Cutover
# step_sql_managed_instance_online_fileshare_cutover(test)
# #13.2 MI Online FileShare Cutover Confirm
# step_sql_managed_instance_online_fileshare_cutover_Confirm(test, checks=[
# test.check("name", "{miOnlineFsTargetDb}", case_sensitive=False),
# test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
# test.check("properties.kind", "SqlMi", case_sensitive=False),
# test.check("properties.migrationStatus", "Succeeded", case_sensitive=False)
# ])
#14. MI Online Blob Create
step_sql_managed_instance_online_blob_create(test, checks=[
test.check("name", "{miOnlineBlobTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlMi", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
])
#15.1 MI Online Blob Cancel
step_sql_managed_instance_online_blob_cancel(test)
#15.2 MI Online Blob Cancel Confirm
step_sql_managed_instance_online_blob_cancel_Confirm(test, checks=[
test.check("name", "{miOnlineBlobTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlMi", case_sensitive=False),
test.check("properties.migrationStatus", "Canceled", case_sensitive=False)
])
# #16. VM Online FileShare Create
# step_sql_vm_online_fileshare_create(test, checks=[
# test.check("name", "{vmOnlineFsTargetDb}", case_sensitive=False),
# test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
# test.check("properties.kind", "SqlVm", case_sensitive=False),
# test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
# test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
# ])
# #17.1 VM Online FileShare Cutover
# step_sql_vm_online_fileshare_cutover(test)
# #17.2 VM Online FileShare Cutover
# step_sql_vm_online_fileshare_cutover_Confirm(test, checks=[
# test.check("name", "{vmOnlineFsTargetDb}", case_sensitive=False),
# test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
# test.check("properties.kind", "SqlVm", case_sensitive=False),
# test.check("properties.migrationStatus", "Succeeded", case_sensitive=False)
# ])
#18. VM Online Blob Create
step_sql_vm_online_blob_create(test, checks=[
test.check("name", "{vmOnlineBlobTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlVm", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
])
time.sleep(120)
#19.1 VM Online Blob Cancel
step_sql_vm_online_blob_cancel(test)
#19.2 VM Online Blob Cancel Confirm
step_sql_vm_online_blob_cancel_Confirm(test, checks=[
test.check("name", "{vmOnlineBlobTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlVm", case_sensitive=False),
test.check("properties.migrationStatus", "Canceled", case_sensitive=False)
])
'''
#20. MI Offline FS Create
step_sql_managed_instance_offline_fileshare_create(test, checks=[
test.check("name", "{miOfflineFsTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlMi", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
])
#21. MI Offline Blob Create
step_sql_managed_instance_offline_blob_create(test, checks=[
test.check("name", "{miOfflineBlobTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlMi", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
])
#22. VM Offline FS Create
step_sql_vm_offline_fileshare_create(test, checks=[
test.check("name", "{vmOfflineFsTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlVm", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
])
#23. VM Offline Blob Create
step_sql_vm_offline_blob_create(test, checks=[
test.check("name", "{vmOfflineBlobTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlVm", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
])
'''
#24. DB Migration Show
step_sql_db_show(test, checks=[
test.check("name", "{dbTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlDb", case_sensitive=False)
])
#25.1. DB Migration create
step_sql_db_offline_create(test, checks=[
test.check("name", "{dbTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlDb", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
])
#25.2. DB Migration delete
step_sql_db_offline_delete(test)
#26.1. DB Migration create
step_sql_db_offline_create(test, checks=[
test.check("name", "{dbTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlDb", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "InProgress", case_sensitive=False)
])
#26.2. DB Migration cancel
step_sql_db_offline_cancel(test)
#27.1. DB Migration selected tables create
step_sql_db_offline_tablelist_create(test, checks=[
test.check("name", "{dbTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlDb", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "InProgress", case_sensitive=False),
test.check("properties.tableList[0]", "{tableName}", case_sensitive=False)
])
#27.2. DB Migration selected tables check for completion
step_sql_db_offline_tablelist_complete(test, checks=[
test.check("name", "{dbTargetDb}", case_sensitive=False),
test.check("type", "Microsoft.DataMigration/databaseMigrations", case_sensitive=False),
test.check("properties.kind", "SqlDb", case_sensitive=False),
test.check("properties.provisioningState", "Succeeded", case_sensitive=False),
test.check("properties.migrationStatus", "Succeeded", case_sensitive=False),
test.check("properties.tableList[0]", "{tableName}", case_sensitive=False)
])
except Exception as e:
raise e
finally:
cleanup_scenario(test)
| 48.027611 | 325 | 0.621841 | 3,693 | 40,007 | 6.608719 | 0.077444 | 0.034295 | 0.06859 | 0.064001 | 0.837335 | 0.804884 | 0.766533 | 0.714087 | 0.689707 | 0.653692 | 0 | 0.006525 | 0.241483 | 40,007 | 832 | 326 | 48.085337 | 0.797733 | 0.099833 | 0 | 0.704044 | 0 | 0.025735 | 0.421406 | 0.186761 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060662 | false | 0.023897 | 0.001838 | 0 | 0.0625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
ed714ba6824bf0736a1e498f29f0e3a2e5407ed1 | 1,748 | py | Python | lupa/migrations/0010_auto_20191029_1459.py | MinisterioPublicoRJ/api-cadg | a8998c4c234a65192f1dca8ea9a17a1d4a496556 | [
"MIT"
] | 6 | 2020-02-11T18:45:58.000Z | 2020-05-26T12:37:28.000Z | lupa/migrations/0010_auto_20191029_1459.py | MinisterioPublicoRJ/api-cadg | a8998c4c234a65192f1dca8ea9a17a1d4a496556 | [
"MIT"
] | 120 | 2019-07-01T14:45:32.000Z | 2022-01-25T19:10:16.000Z | lupa/migrations/0010_auto_20191029_1459.py | MinisterioPublicoRJ/apimpmapas | 196ad25a4922448b8ae7a66012a2843c7b7194ad | [
"MIT"
] | null | null | null | # Generated by Django 2.2.2 on 2019-10-29 14:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('lupa', '0009_auto_20191024_1734'),
]
operations = [
migrations.RemoveField(
model_name='dadodetalhe',
name='cache_timeout',
),
migrations.RemoveField(
model_name='dadoentidade',
name='cache_timeout',
),
migrations.RemoveField(
model_name='entidade',
name='cache_timeout',
),
migrations.AddField(
model_name='dadodetalhe',
name='cache_timeout_days',
field=models.IntegerField(default=7, verbose_name='Tempo de persistência do cache (em dias)'),
),
migrations.AddField(
model_name='dadodetalhe',
name='cache_timeout_sec',
field=models.BigIntegerField(null=True),
),
migrations.AddField(
model_name='dadoentidade',
name='cache_timeout_days',
field=models.IntegerField(default=7, verbose_name='Tempo de persistência do cache (em dias)'),
),
migrations.AddField(
model_name='dadoentidade',
name='cache_timeout_sec',
field=models.BigIntegerField(null=True),
),
migrations.AddField(
model_name='entidade',
name='cache_timeout_days',
field=models.IntegerField(default=7, verbose_name='Tempo de persistência do cache (em dias)'),
),
migrations.AddField(
model_name='entidade',
name='cache_timeout_sec',
field=models.BigIntegerField(null=True),
),
]
| 31.214286 | 106 | 0.578375 | 164 | 1,748 | 5.981707 | 0.29878 | 0.082569 | 0.146789 | 0.165138 | 0.828746 | 0.828746 | 0.771662 | 0.67788 | 0.587156 | 0.533129 | 0 | 0.028357 | 0.314073 | 1,748 | 55 | 107 | 31.781818 | 0.789825 | 0.025744 | 0 | 0.857143 | 1 | 0 | 0.22575 | 0.013521 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.020408 | 0 | 0.081633 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
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