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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
636bf41579234c486af942ade34b8e5f46205e18 | 117 | py | Python | battlescribe_parser/roster/element.py | JKolios/battlewhoosh | 9a833e40dd3f9291d89968c279894fd9be3f37cf | [
"MIT"
] | 1 | 2021-10-10T07:13:39.000Z | 2021-10-10T07:13:39.000Z | battlescribe_parser/roster/element.py | JKolios/battlewhoosh | 9a833e40dd3f9291d89968c279894fd9be3f37cf | [
"MIT"
] | null | null | null | battlescribe_parser/roster/element.py | JKolios/battlewhoosh | 9a833e40dd3f9291d89968c279894fd9be3f37cf | [
"MIT"
] | null | null | null | import battlescribe_parser.bsdata.element
class RosterElement(battlescribe_parser.bsdata.element.Element):
pass
| 23.4 | 64 | 0.846154 | 13 | 117 | 7.461538 | 0.615385 | 0.371134 | 0.494845 | 0.639175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08547 | 117 | 4 | 65 | 29.25 | 0.906542 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 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 | 1 | 1 | 0 | 1 | 0 | 0 | 9 |
636feeedecd201d39b14bc6b5709501941479ffd | 2,945 | py | Python | views.py | kelvin53/News-Highlight | 2a2b30ec5aac9180900d38819cf601c57c204005 | [
"MIT"
] | null | null | null | views.py | kelvin53/News-Highlight | 2a2b30ec5aac9180900d38819cf601c57c204005 | [
"MIT"
] | null | null | null | views.py | kelvin53/News-Highlight | 2a2b30ec5aac9180900d38819cf601c57c204005 | [
"MIT"
] | null | null | null | from flask import Flask, render_template
from newsapi import NewsApiClient
app = Flask(__name__)
@app.route('/')
def Index():
newsapi = NewsApiClient(api_key="bbb081415b6b417eb5d3fbfe57199cf8")
topheadlines = newsapi.get_top_headlines(sources="the-wall-street-journal")
articles = topheadlines['articles']
desc = []
news = []
img = []
url = []
publAt = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
img.append(myarticles['urlToImage'])
url.append(myarticles['url'])
publAt.append(myarticles['publishedAt'])
mylist = zip(news, desc, img,url,publAt)
return render_template('index.html', context = mylist)
@app.route('/reuters')
def reuters():
newsapi = NewsApiClient(api_key="bbb081415b6b417eb5d3fbfe57199cf8")
topheadlines = newsapi.get_top_headlines(sources="reuters")
articles = topheadlines['articles']
desc = []
news = []
img = []
url = []
publAt = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
img.append(myarticles['urlToImage'])
url.append(myarticles['url'])
publAt.append(myarticles['publishedAt'])
mylist = zip(news, desc, img,url,publAt)
return render_template('reuters.html', context = mylist)
@app.route('/techcrunch')
def techcrunch():
newsapi = NewsApiClient(api_key="bbb081415b6b417eb5d3fbfe57199cf8")
topheadlines = newsapi.get_top_headlines(sources="techcrunch")
articles = topheadlines['articles']
desc = []
news = []
img = []
url = []
publAt = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
img.append(myarticles['urlToImage'])
url.append(myarticles['url'])
publAt.append(myarticles['publishedAt'])
mylist = zip(news, desc, img,url,publAt)
return render_template('techcrunch.html', context = mylist)
@app.route('/insider')
def insider():
newsapi = NewsApiClient(api_key="bbb081415b6b417eb5d3fbfe57199cf8")
topheadlines = newsapi.get_top_headlines(sources="business-insider")
articles = topheadlines['articles']
desc = []
news = []
img = []
url = []
publAt = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
img.append(myarticles['urlToImage'])
url.append(myarticles['url'])
publAt.append(myarticles['publishedAt'])
mylist = zip(news, desc, img,url,publAt)
return render_template('insider.html', context = mylist)
if __name__ == "__main__":
app.run(debug=True)
app.run | 25.833333 | 79 | 0.641766 | 297 | 2,945 | 6.265993 | 0.185185 | 0.171951 | 0.051585 | 0.055884 | 0.850618 | 0.810317 | 0.810317 | 0.810317 | 0.810317 | 0.810317 | 0 | 0.031196 | 0.216299 | 2,945 | 114 | 80 | 25.833333 | 0.77513 | 0 | 0 | 0.731707 | 0 | 0 | 0.156483 | 0.051256 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.02439 | 0 | 0.121951 | 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 |
63b23d8a11c3295e47c1e3738c0d8909fa857169 | 1,934 | py | Python | test.py | ignis-sec/allogate | 98c9f15a18c112693a5ddb28301aaca72cce04d3 | [
"MIT"
] | 4 | 2021-06-14T00:30:34.000Z | 2021-08-05T03:04:35.000Z | test.py | FlameOfIgnis/allogate | 98c9f15a18c112693a5ddb28301aaca72cce04d3 | [
"MIT"
] | null | null | null | test.py | FlameOfIgnis/allogate | 98c9f15a18c112693a5ddb28301aaca72cce04d3 | [
"MIT"
] | 1 | 2021-06-14T00:30:35.000Z | 2021-06-14T00:30:35.000Z | import allogate as logging
logging.VERBOSITY=1
print(f"Verbosity = {logging.VERBOSITY}")
logging.pprint(f"Hello, this is a failure", 0)
logging.pprint(f"Hello, this is a success", 1)
logging.pprint(f"Hello, this is a warning", 2)
logging.pprint(f"Hello, this is an info" , 3)
logging.pprint(f"Hello, this is verbose" , 4)
logging.pprint(f"Hello, this is very verbose" , 12)
logging.VERBOSITY=3
print(f"Verbosity = {logging.VERBOSITY}")
logging.pprint(f"Hello, this is a failure", 0)
logging.pprint(f"Hello, this is a success", 1)
logging.pprint(f"Hello, this is a warning", 2)
logging.pprint(f"Hello, this is an info" , 3)
logging.pprint(f"Hello, this is verbose" , 4)
logging.pprint(f"Hello, this is very verbose" , 12)
logging.VERBOSITY=5
print(f"Verbosity = {logging.VERBOSITY}")
logging.pprint(f"Hello, this is a failure", 0)
logging.pprint(f"Hello, this is a success", 1)
logging.pprint(f"Hello, this is a warning", 2)
logging.pprint(f"Hello, this is an info" , 3)
logging.pprint(f"Hello, this is verbose" , 4)
logging.pprint(f"Hello, this is very verbose" , 12)
logging.VERBOSITY=15
print(f"Verbosity = {logging.VERBOSITY}")
logging.pprint(f"Hello, this is a failure", 0)
logging.pprint(f"Hello, this is a success", 1)
logging.pprint(f"Hello, this is a warning", 2)
logging.pprint(f"Hello, this is an info" , 3)
logging.pprint(f"Hello, this is verbose" , 4)
logging.pprint(f"Hello, this is very verbose" , 12)
logging.pprint(f"Clamp me AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" , 12)
def test_function():
logging.pprint(f"Hello, this is a failure", 0)
logging.pprint(f"Hello, this is a success", 1)
logging.pprint(f"Hello, this is a warning", 2)
logging.pprint(f"Hello, this is an info" , 3)
logging.pprint(f"Hello, this is verbose" , 4)
logging.pprint(f"Hello, this is very verbose" , 12)
test_function() | 36.490566 | 146 | 0.726474 | 313 | 1,934 | 4.482428 | 0.105431 | 0.287242 | 0.309337 | 0.406272 | 0.858161 | 0.858161 | 0.858161 | 0.858161 | 0.858161 | 0.858161 | 0 | 0.02521 | 0.138573 | 1,934 | 53 | 147 | 36.490566 | 0.816927 | 0 | 0 | 0.809524 | 0 | 0 | 0.496124 | 0.057881 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | true | 0 | 0.02381 | 0 | 0.047619 | 0.833333 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 |
8925388c73c6f47df09ae3bb50c4734cfb467b06 | 115 | py | Python | shs/gardener/__init__.py | SeohaSong/tools | 77d087a5f8c864260225ef7701d78df1c82c6582 | [
"MIT"
] | null | null | null | shs/gardener/__init__.py | SeohaSong/tools | 77d087a5f8c864260225ef7701d78df1c82c6582 | [
"MIT"
] | null | null | null | shs/gardener/__init__.py | SeohaSong/tools | 77d087a5f8c864260225ef7701d78df1c82c6582 | [
"MIT"
] | null | null | null |
from .init import get_global_filepaths
from .init import get_global_dir_paths
from .init import clear_current_dir
| 23 | 38 | 0.86087 | 19 | 115 | 4.842105 | 0.526316 | 0.26087 | 0.456522 | 0.369565 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113043 | 115 | 4 | 39 | 28.75 | 0.901961 | 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 |
893a97fb2a90a0bf0693555f77d063d7b31f4e05 | 928 | py | Python | test/integration/test_graylogapi.py | zmallen/pygraylog | cda2c6b583e8c7de47e98458b3faeae7d05a94d3 | [
"Apache-2.0"
] | 14 | 2016-08-29T16:31:14.000Z | 2021-11-30T10:39:29.000Z | test/integration/test_graylogapi.py | zmallen/pygraylog | cda2c6b583e8c7de47e98458b3faeae7d05a94d3 | [
"Apache-2.0"
] | 9 | 2016-08-28T15:23:47.000Z | 2018-02-07T20:11:18.000Z | test/integration/test_graylogapi.py | zmallen/pygraylog | cda2c6b583e8c7de47e98458b3faeae7d05a94d3 | [
"Apache-2.0"
] | 16 | 2016-10-04T17:37:42.000Z | 2021-07-08T15:43:50.000Z | import pytest
from pygraylog.pygraylog import graylogapi
def test_get():
api = graylogapi.GraylogAPI('http://echo.jsontest.com/one/two',
username = 'Zack',
password = 'Zack')
res = api._get()
expected = "{\"one\": \"two\"}\n"
assert res == expected
def test_post():
api = graylogapi.GraylogAPI('http://echo.jsontest.com/one/two',
username = 'Zack',
password = 'Zack')
with pytest.raises(NotImplementedError):
api._post()
def test_put():
api = graylogapi.GraylogAPI('http://echo.jsontest.com/one/two',
username = 'Zack',
password = 'Zack')
with pytest.raises(NotImplementedError):
api._put()
def test_delete():
api = graylogapi.GraylogAPI('http://echo.jsontest.com/one/two',
username = 'Zack',
password = 'Zack')
with pytest.raises(NotImplementedError):
api._delete()
| 28.121212 | 68 | 0.601293 | 99 | 928 | 5.555556 | 0.282828 | 0.054545 | 0.167273 | 0.196364 | 0.730909 | 0.730909 | 0.730909 | 0.730909 | 0.730909 | 0.730909 | 0 | 0 | 0.248922 | 928 | 32 | 69 | 29 | 0.789096 | 0 | 0 | 0.555556 | 0 | 0 | 0.18123 | 0 | 0 | 0 | 0 | 0 | 0.037037 | 1 | 0.148148 | false | 0.148148 | 0.074074 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
89768799b001430dfcab3c81814f87c6de49fc5c | 350 | py | Python | devilry/devilry_gradingsystem/tests/__init__.py | aless80/devilry-django | 416c262e75170d5662542f15e2d7fecf5ab84730 | [
"BSD-3-Clause"
] | 29 | 2015-01-18T22:56:23.000Z | 2020-11-10T21:28:27.000Z | devilry/devilry_gradingsystem/tests/__init__.py | aless80/devilry-django | 416c262e75170d5662542f15e2d7fecf5ab84730 | [
"BSD-3-Clause"
] | 786 | 2015-01-06T16:10:18.000Z | 2022-03-16T11:10:50.000Z | devilry/devilry_gradingsystem/tests/__init__.py | aless80/devilry-django | 416c262e75170d5662542f15e2d7fecf5ab84730 | [
"BSD-3-Clause"
] | 15 | 2015-04-06T06:18:43.000Z | 2021-02-24T12:28:30.000Z | from .views.test_feedbackdraft_preview import *
from .views.admin.test_selectplugin import *
from .views.admin.test_summary import *
from .views.admin.test_setmaxpoints import *
from .views.admin.test_select_points_to_grade_mapper import *
from .views.admin.test_setup_custom_table import *
from .views.admin.test_setpassing_grade_min_points import * | 50 | 61 | 0.845714 | 51 | 350 | 5.470588 | 0.392157 | 0.225806 | 0.322581 | 0.430108 | 0.516129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.077143 | 350 | 7 | 62 | 50 | 0.863777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.142857 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 8 |
98221732c5a4fafa66438edacb8ce26540b9d6b0 | 4,635 | py | Python | tests/unit/extutils/arr.py | RaenonX/Jelly-Bot-API | c7da1e91783dce3a2b71b955b3a22b68db9056cf | [
"MIT"
] | 5 | 2020-08-26T20:12:00.000Z | 2020-12-11T16:39:22.000Z | tests/unit/extutils/arr.py | RaenonX/Jelly-Bot | c7da1e91783dce3a2b71b955b3a22b68db9056cf | [
"MIT"
] | 234 | 2019-12-14T03:45:19.000Z | 2020-08-26T18:55:19.000Z | tests/unit/extutils/arr.py | RaenonX/Jelly-Bot-API | c7da1e91783dce3a2b71b955b3a22b68db9056cf | [
"MIT"
] | 2 | 2019-10-23T15:21:15.000Z | 2020-05-22T09:35:55.000Z | from extutils.arr import extract_list_action, extract_one
from tests.base import TestCase
__all__ = ["TestExtractList", "TestExtractOne"]
def action(data):
for i in range(len(data)):
data[i] = True
return data
def action_set_value(data, value):
for i in range(len(data)):
data[i] = value
return data
def action_not_mutate(_):
return [7]
class TestExtractOne(TestCase):
def test_extract_list(self):
self.assertEqual(extract_one([1]), 1)
def test_extract_list_empty(self):
self.assertIsNone(extract_one([]))
def test_extract_list_2d(self):
self.assertEqual(extract_one([[1]]), [1])
def test_extract_list_2d_empty(self):
self.assertEqual(extract_one([[]]), [])
def test_extract_set(self):
self.assertEqual(extract_one({1}), 1)
def test_extract_set_empty(self):
self.assertIsNone(extract_one(set()))
def test_extract_tuple(self):
self.assertEqual(extract_one((1,)), 1)
def test_extract_tuple_empty(self):
self.assertIsNone(extract_one(()))
# noinspection PyTypeChecker
def test_extract_type_miss(self):
with self.assertRaises(TypeError):
extract_one(7)
with self.assertRaises(TypeError):
extract_one("ABC")
class TestExtractList(TestCase):
def test_empty_1d(self):
data = []
expected = []
self.assertEqual(extract_list_action(data, action), expected)
self.assertEqual(data, expected)
def test_empty_1d_with_args(self):
data = []
expected = []
self.assertEqual(extract_list_action(data, action_set_value, 5), expected)
self.assertEqual(data, expected)
def test_empty_2d(self):
data = [[]]
expected = [[]]
self.assertEqual(extract_list_action(data, action), expected)
self.assertEqual(data, expected)
def test_empty_2d_with_args(self):
data = [[]]
expected = [[]]
self.assertEqual(extract_list_action(data, action_set_value, 5), expected)
self.assertEqual(data, expected)
def test_empty_3d(self):
data = [[[]]]
expected = [[[]]]
self.assertEqual(extract_list_action(data, action), expected)
self.assertEqual(data, expected)
def test_empty_3d_with_args(self):
data = [[[]]]
expected = [[[]]]
self.assertEqual(extract_list_action(data, action_set_value, 5), expected)
self.assertEqual(data, expected)
def test_1d(self):
data = [False, False]
expected = [True, True]
self.assertEqual(extract_list_action(data, action), expected)
self.assertEqual(data, expected)
def test_1d_with_args(self):
data = [False, False]
expected = [5, 5]
self.assertEqual(extract_list_action(data, action_set_value, 5), expected)
self.assertEqual(data, expected)
def test_2d_regular(self):
data = [[False, False], [False, False]]
expected = [[True, True], [True, True]]
self.assertEqual(extract_list_action(data, action), expected)
self.assertEqual(data, expected)
def test_2d_irregular(self):
data = [[False, False], [False, False], [False]]
expected = [[True, True], [True, True], [True]]
self.assertEqual(extract_list_action(data, action), expected)
self.assertEqual(data, [[True, True], [True, True], [True]])
def test_2d_with_args(self):
data = [[False, False], [False, False], [False]]
expected = [[5, 5], [5, 5], [5]]
self.assertEqual(extract_list_action(data, action_set_value, 5), expected)
self.assertEqual(data, expected)
def test_3d(self):
data = [[[False, False], [False, False]], [[False, False], [False, False]]]
expected = [[[True, True], [True, True]], [[True, True], [True, True]]]
self.assertEqual(extract_list_action(data, action), expected)
self.assertEqual(data, expected)
def test_3d_not_mutate(self):
data = [[[False, False], [False, False]], [[False, False], [False, False]]]
self.assertEqual(extract_list_action(data, action_not_mutate), [[[7], [7]], [[7], [7]]])
self.assertEqual(data, [[[False, False], [False, False]], [[False, False], [False, False]]])
def test_3d_with_args(self):
data = [[[False, False], [False, False]], [[False, False], [False, False]]]
expected = [[[5, 5], [5, 5]], [[5, 5], [5, 5]]]
self.assertEqual(extract_list_action(data, action_set_value, 5), expected)
self.assertEqual(data, expected)
| 29.903226 | 100 | 0.625674 | 552 | 4,635 | 5.027174 | 0.096014 | 0.147748 | 0.172973 | 0.18018 | 0.838919 | 0.793874 | 0.715676 | 0.700541 | 0.676757 | 0.639279 | 0 | 0.014298 | 0.230421 | 4,635 | 154 | 101 | 30.097403 | 0.763667 | 0.005609 | 0 | 0.47619 | 0 | 0 | 0.006946 | 0 | 0 | 0 | 0 | 0 | 0.361905 | 1 | 0.247619 | false | 0 | 0.019048 | 0.009524 | 0.314286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 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 | 7 |
9824835424a7983fea53dab3aa5aec253869fce6 | 2,024 | py | Python | tests/jobs/test_job_downloads.py | kids-first/kf-api-study-creator | 93a79b108b6474f9b4135ace06c89ddcf63dd257 | [
"Apache-2.0"
] | 3 | 2019-05-04T02:07:28.000Z | 2020-10-16T17:47:44.000Z | tests/jobs/test_job_downloads.py | kids-first/kf-api-study-creator | 93a79b108b6474f9b4135ace06c89ddcf63dd257 | [
"Apache-2.0"
] | 604 | 2019-02-21T18:14:51.000Z | 2022-02-10T08:13:54.000Z | tests/jobs/test_job_downloads.py | kids-first/kf-api-study-creator | 93a79b108b6474f9b4135ace06c89ddcf63dd257 | [
"Apache-2.0"
] | null | null | null | import pytest
from django.core import management
from django.http.response import HttpResponse
from creator.jobs.models import Job, JobLog
def test_job_download_url(clients, db, mocker):
client = clients.get("Administrators")
job = Job()
job.save()
assert Job.objects.count() == 1
log = JobLog(job_id=job.pk)
log.save()
assert JobLog.objects.count() == 1
mock_resp = mocker.patch("creator.jobs.views.HttpResponse")
mock_resp.return_value = HttpResponse(open("tests/data/data.csv"))
query = "{allJobLogs { edges { node { downloadUrl } } } }"
query_data = {"query": query.strip()}
resp = client.post(
"/graphql", data=query_data, content_type="application/json"
)
assert resp.status_code == 200
assert "data" in resp.json()
assert "allJobLogs" in resp.json()["data"]
jobLog_json = resp.json()["data"]["allJobLogs"]["edges"][0]["node"]
expect_url = (
f"https://testserver/logs/{log.pk}"
)
assert jobLog_json["downloadUrl"] == expect_url
def test_job_download_url_develop(clients, db, mocker, settings):
settings.DEVELOP = True
management.call_command("setup_test_user")
client = clients.get("Administrators")
job = Job()
job.save()
assert Job.objects.count() == 1
log = JobLog(job_id=job.pk)
log.save()
assert JobLog.objects.count() == 1
mock_resp = mocker.patch("creator.jobs.views.HttpResponse")
mock_resp.return_value = HttpResponse(open("tests/data/data.csv"))
query = "{allJobLogs { edges { node { downloadUrl } } } } "
query_data = {"query": query.strip()}
resp = client.post(
"/graphql", data=query_data, content_type="application/json"
)
assert resp.status_code == 200
assert "data" in resp.json()
assert "allJobLogs" in resp.json()["data"]
jobLog_json = resp.json()["data"]["allJobLogs"]["edges"][0]["node"]
expect_url = (
f"http://testserver/logs/{log.pk}"
)
assert jobLog_json["downloadUrl"] == expect_url
| 32.126984 | 71 | 0.655632 | 255 | 2,024 | 5.070588 | 0.278431 | 0.037123 | 0.040217 | 0.027842 | 0.825986 | 0.793503 | 0.793503 | 0.793503 | 0.793503 | 0.793503 | 0 | 0.007322 | 0.190217 | 2,024 | 62 | 72 | 32.645161 | 0.781574 | 0 | 0 | 0.730769 | 0 | 0 | 0.229743 | 0.030632 | 0 | 0 | 0 | 0 | 0.230769 | 1 | 0.038462 | false | 0 | 0.076923 | 0 | 0.115385 | 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 |
9860b5d628799cd35fa93a25151de4b15c61a4ec | 37,222 | py | Python | tests/test_recruitment_query.py | Agile-Data/flat-ql | 3212ae9d0ec4ba822c065bb5e4beccf9e936971b | [
"MIT"
] | 3 | 2022-03-21T05:03:39.000Z | 2022-03-23T01:32:51.000Z | tests/test_recruitment_query.py | Agile-Data/flat-ql | 3212ae9d0ec4ba822c065bb5e4beccf9e936971b | [
"MIT"
] | null | null | null | tests/test_recruitment_query.py | Agile-Data/flat-ql | 3212ae9d0ec4ba822c065bb5e4beccf9e936971b | [
"MIT"
] | null | null | null | import os
from flatql import parse_from_hocon_path
from flatql.parser.ast import StringLiteral
from flatql.parser.flatql_parser import parse_flatql
from flatql.rewriter.query import SqlPredicateAppender
from flatql.rewriter.sql import SqlTable, SqlComparison, SqlColumn, SqlIdentifier, SqlLiteral, O_EQ
from flatql.rewriter.sql_generic import SqlNodeIntrospection
from flatql.rewriter.sql_rewriter import SqlRewriter
recruitment_schema = parse_from_hocon_path(f"{os.path.dirname(__file__)}/schemas/recruitment")
def test_simple_query1():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql("SELECT Tenant.name FROM recruitment").rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "ta_0"."name" FROM "v_tenant" AS "ta_0"'
parse_flatql("SELECT Tenant.name AS a1 FROM recruitment").rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "ta_0"."name" AS "a1" FROM "v_tenant" AS "ta_0"'
def test_simple_query2():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql("SELECT COUNT(Tenant.name) FROM recruitment").rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT COUNT("ta_0"."name") FROM "v_tenant" AS "ta_0"'
parse_flatql("SELECT COUNT(Tenant.name) AS a1 FROM recruitment").rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT COUNT("ta_0"."name") AS "a1" FROM "v_tenant" AS "ta_0"'
def test_simple_query3():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql("SELECT Tenant.name AS \"租户\", Channel.name AS \"频道\", Job.name AS \"职位\" "
"FROM recruitment WHERE Tenant.name = 'tenant-98' ORDER BY \"频道\" LIMIT 10 OFFSET 0").rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "ta_0"."name" AS "租户", "ta_1"."name" AS "频道", "ta_2"."jobName" AS "职位" FROM "v_channels" AS "ta_1" INNER JOIN "v_projects" AS "ta_3" ON "ta_1"."openId" = "ta_3"."channelOpenId" INNER JOIN "v_job" AS "ta_2" ON "ta_3"."payloadType" = \'Job\' AND "ta_3"."payloadOpenId" = "ta_2"."openId" INNER JOIN "v_tenant" AS "ta_0" ON "ta_1"."tenant" = "ta_0"."name" WHERE "ta_0"."name" = \'tenant-98\' ORDER BY "频道" ASC LIMIT 10 OFFSET 0'
def test_simple_query4():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql("SELECT Tenant.name AS \"租户\", MIN(ResumeHumaninfo.age) AS \"年龄（最小值）\" , MAX(ResumeHumaninfo.age) AS \"年龄（最大值）\", AVG(ResumeHumaninfo.age) AS \"年龄（平均值）\" "
"FROM recruitment WHERE Tenant.name = 'tenant-98' ORDER BY \"租户\" LIMIT 10 OFFSET 0").rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "ta_0"."name" AS "租户", MIN("ta_1"."ageNormalized") AS "年龄（最小值）", MAX("ta_1"."ageNormalized") AS "年龄（最大值）", AVG("ta_1"."ageNormalized") AS "年龄（平均值）" FROM "v_channels" AS "ta_2" INNER JOIN "v_projects" AS "ta_3" ON "ta_2"."openId" = "ta_3"."channelOpenId" INNER JOIN "v_flow" AS "ta_4" ON "ta_3"."openId" = "ta_4"."circuitForeignId" INNER JOIN "v_resume" AS "ta_1" ON "ta_1"."openId" = "ta_4"."beanSourceId" INNER JOIN "v_tenant" AS "ta_0" ON "ta_2"."tenant" = "ta_0"."name" WHERE "ta_0"."name" = \'tenant-98\' GROUP BY "租户" ORDER BY "租户" ASC LIMIT 10 OFFSET 0'
def test_join_query1():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql("SELECT Tenant.name, Channel.name FROM recruitment").rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "ta_0"."name", "ta_1"."name" FROM "v_channels" AS "ta_1" INNER JOIN "v_tenant" AS "ta_0" ON "ta_1"."tenant" = "ta_0"."name"'
def test_aggregate_query1():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql("SELECT Tenant.name AS \"租户\", COUNT(Job.name) AS \"职位（数量）\" FROM recruitment "
"WHERE Tenant.name IN ('tenant-98', 'tenantshared')").rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_1" AS "租户", "qu_0"."co_3" AS "职位（数量）" FROM (SELECT "qu_1"."co_1" AS "co_1", SUM("qu_2"."co_2") AS "co_3" FROM (SELECT "ta_0"."openId" AS "co_0", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_2" INNER JOIN "v_projects" AS "ta_3" ON "ta_2"."openId" = "ta_3"."channelOpenId" INNER JOIN "v_job" AS "ta_0" ON "ta_3"."payloadType" = \'Job\' AND "ta_3"."payloadOpenId" = "ta_0"."openId" INNER JOIN "v_tenant" AS "ta_1" ON "ta_2"."tenant" = "ta_1"."name" WHERE "ta_1"."name" IN (\'tenant-98\', \'tenantshared\') GROUP BY "co_0", "co_1") AS "qu_1" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."jobName") AS "co_2" FROM "v_job" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_1"."co_0" = "qu_2"."co_0" GROUP BY "co_1") AS "qu_0"'
def test_aggregate_query2():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT Tenant.name AS "租户名称", COUNT(Channel.name) AS "频道（数量）",'
' COUNT(Job.name) AS "职位（数量）" FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_1" AS "租户名称", "qu_1"."co_3" AS "频道（数量）", "qu_0"."co_6" AS "职位（数量）" FROM (SELECT "qu_2"."co_1" AS "co_1", SUM("qu_3"."co_2") AS "co_3" FROM (SELECT "ta_0"."openId" AS "co_0", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" GROUP BY "co_0", "co_1") AS "qu_2" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_2" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_3" ON "qu_2"."co_0" = "qu_3"."co_0" GROUP BY "co_1") AS "qu_1" INNER JOIN (SELECT "qu_4"."co_1" AS "co_1", SUM("qu_5"."co_5") AS "co_6" FROM (SELECT "ta_2"."openId" AS "co_4", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_3" ON "ta_0"."openId" = "ta_3"."channelOpenId" INNER JOIN "v_job" AS "ta_2" ON "ta_3"."payloadType" = \'Job\' AND "ta_3"."payloadOpenId" = "ta_2"."openId" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" GROUP BY "co_4", "co_1") AS "qu_4" LEFT JOIN (SELECT "ta_2"."openId" AS "co_4", COUNT("ta_2"."jobName") AS "co_5" FROM "v_job" AS "ta_2" GROUP BY "co_4") AS "qu_5" ON "qu_4"."co_4" = "qu_5"."co_4" GROUP BY "co_1") AS "qu_0" ON "qu_1"."co_1" = "qu_0"."co_1"'
def test_aggregate_query3():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT Tenant.name AS "租户名称", COUNT(Channel.name) AS "频道（数量）",'
' COUNT(Job.name) AS "职位（数量）", COUNT(ResumeHumaninfo.name) AS "简历（数量）" '
'FROM recruitment '
'ORDER BY "租户名称" LIMIT 10 OFFSET 0').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_1" AS "租户名称", "qu_1"."co_8" AS "频道（数量）", "qu_0"."co_12" AS "职位（数量）", "qu_1"."co_9" AS "简历（数量）" FROM (SELECT "qu_2"."co_1" AS "co_7", "qu_3"."co_3" AS "co_8", "qu_2"."co_6" AS "co_9" FROM (SELECT "qu_4"."co_1" AS "co_1", SUM("qu_5"."co_2") AS "co_3" FROM (SELECT "ta_0"."openId" AS "co_0", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" GROUP BY "co_0", "co_1") AS "qu_4" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_2" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_5" ON "qu_4"."co_0" = "qu_5"."co_0" GROUP BY "co_1") AS "qu_3" INNER JOIN (SELECT "qu_6"."co_1" AS "co_1", SUM("qu_7"."co_5") AS "co_6" FROM (SELECT "ta_2"."openId" AS "co_4", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_3" ON "ta_0"."openId" = "ta_3"."channelOpenId" INNER JOIN "v_flow" AS "ta_4" ON "ta_3"."openId" = "ta_4"."circuitForeignId" INNER JOIN "v_resume" AS "ta_2" ON "ta_2"."openId" = "ta_4"."beanSourceId" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" GROUP BY "co_4", "co_1") AS "qu_6" LEFT JOIN (SELECT "ta_2"."openId" AS "co_4", COUNT("ta_2"."name") AS "co_5" FROM "v_resume" AS "ta_2" GROUP BY "co_4") AS "qu_7" ON "qu_6"."co_4" = "qu_7"."co_4" GROUP BY "co_1") AS "qu_2" ON "qu_3"."co_1" = "qu_2"."co_1") AS "qu_1" INNER JOIN (SELECT "qu_8"."co_1" AS "co_1", SUM("qu_9"."co_11") AS "co_12" FROM (SELECT "ta_5"."openId" AS "co_10", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_3" ON "ta_0"."openId" = "ta_3"."channelOpenId" INNER JOIN "v_job" AS "ta_5" ON "ta_3"."payloadType" = \'Job\' AND "ta_3"."payloadOpenId" = "ta_5"."openId" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" GROUP BY "co_10", "co_1") AS "qu_8" LEFT JOIN (SELECT "ta_5"."openId" AS "co_10", COUNT("ta_5"."jobName") AS "co_11" FROM "v_job" AS "ta_5" GROUP BY "co_10") AS "qu_9" ON "qu_8"."co_10" = "qu_9"."co_10" GROUP BY "co_1") AS "qu_0" ON "qu_1"."co_7" = "qu_0"."co_1" ORDER BY "租户名称" ASC LIMIT 10 OFFSET 0'
def test_aggregate_query4():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT Tenant.name AS "租户", Job.name AS "职位", COUNT(ResumeHumaninfo.name) AS "简历（数量）" '
'FROM recruitment ORDER BY "租户" LIMIT 10 OFFSET 0').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_1" AS "租户", "qu_0"."co_2" AS "职位", "qu_0"."co_4" AS "简历（数量）" FROM (SELECT "qu_1"."co_1" AS "co_1", "qu_1"."co_2" AS "co_2", SUM("qu_2"."co_3") AS "co_4" FROM (SELECT "ta_0"."openId" AS "co_0", "ta_1"."name" AS "co_1", "ta_2"."jobName" AS "co_2" FROM "v_channels" AS "ta_3" INNER JOIN "v_projects" AS "ta_4" ON "ta_3"."openId" = "ta_4"."channelOpenId" INNER JOIN "v_flow" AS "ta_5" ON "ta_4"."openId" = "ta_5"."circuitForeignId" INNER JOIN "v_job" AS "ta_2" ON "ta_4"."payloadType" = \'Job\' AND "ta_4"."payloadOpenId" = "ta_2"."openId" INNER JOIN "v_resume" AS "ta_0" ON "ta_0"."openId" = "ta_5"."beanSourceId" INNER JOIN "v_tenant" AS "ta_1" ON "ta_3"."tenant" = "ta_1"."name" GROUP BY "co_0", "co_1", "co_2") AS "qu_1" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_3" FROM "v_resume" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_1"."co_0" = "qu_2"."co_0" GROUP BY "co_1", "co_2") AS "qu_0" ORDER BY "租户" ASC LIMIT 10 OFFSET 0'
def test_aggregate_query5():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT Tenant.name AS "租户名称", COUNT(Channel.name) AS "频道（数量）",'
' COUNT(Job.name) AS "职位（数量）" FROM recruitment WHERE Tenant.name IN (\'tenant-98\', \'maisui-70\')').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_1" AS "租户名称", "qu_1"."co_3" AS "频道（数量）", "qu_0"."co_6" AS "职位（数量）" FROM (SELECT "qu_2"."co_1" AS "co_1", SUM("qu_3"."co_2") AS "co_3" FROM (SELECT "ta_0"."openId" AS "co_0", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" WHERE "ta_1"."name" IN (\'tenant-98\', \'maisui-70\') GROUP BY "co_0", "co_1") AS "qu_2" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_2" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_3" ON "qu_2"."co_0" = "qu_3"."co_0" GROUP BY "co_1") AS "qu_1" INNER JOIN (SELECT "qu_4"."co_1" AS "co_1", SUM("qu_5"."co_5") AS "co_6" FROM (SELECT "ta_2"."openId" AS "co_4", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_3" ON "ta_0"."openId" = "ta_3"."channelOpenId" INNER JOIN "v_job" AS "ta_2" ON "ta_3"."payloadType" = \'Job\' AND "ta_3"."payloadOpenId" = "ta_2"."openId" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" WHERE "ta_1"."name" IN (\'tenant-98\', \'maisui-70\') GROUP BY "co_4", "co_1") AS "qu_4" LEFT JOIN (SELECT "ta_2"."openId" AS "co_4", COUNT("ta_2"."jobName") AS "co_5" FROM "v_job" AS "ta_2" GROUP BY "co_4") AS "qu_5" ON "qu_4"."co_4" = "qu_5"."co_4" GROUP BY "co_1") AS "qu_0" ON "qu_1"."co_1" = "qu_0"."co_1"'
def test_aggregate_query6():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT Tenant.name AS "租户", COUNT(ResumeHumaninfo.name) AS "简历（数量）", AVG(ResumeHumaninfo.age) AS "平均年龄" '
'FROM recruitment WHERE Tenant.name IN (\'tenant-98\', \'maisui-70\') '
'ORDER BY "简历（数量）" LIMIT 10 OFFSET 0').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_1" AS "租户", "qu_0"."co_4" AS "简历（数量）", "qu_0"."co_5" AS "平均年龄" FROM (SELECT "qu_1"."co_1" AS "co_1", SUM("qu_2"."co_2") AS "co_4", AVG("qu_2"."co_3") AS "co_5" FROM (SELECT "ta_0"."openId" AS "co_0", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_2" INNER JOIN "v_projects" AS "ta_3" ON "ta_2"."openId" = "ta_3"."channelOpenId" INNER JOIN "v_flow" AS "ta_4" ON "ta_3"."openId" = "ta_4"."circuitForeignId" INNER JOIN "v_resume" AS "ta_0" ON "ta_0"."openId" = "ta_4"."beanSourceId" INNER JOIN "v_tenant" AS "ta_1" ON "ta_2"."tenant" = "ta_1"."name" WHERE "ta_1"."name" IN (\'tenant-98\', \'maisui-70\') GROUP BY "co_0", "co_1") AS "qu_1" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_2", AVG("ta_0"."ageNormalized") AS "co_3" FROM "v_resume" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_1"."co_0" = "qu_2"."co_0" GROUP BY "co_1") AS "qu_0" ORDER BY "简历（数量）" ASC LIMIT 10 OFFSET 0'
def test_aggregate_query7():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT COUNT(ResumeHumaninfo.name) AS "简历（数量）", COUNT(Job.name) AS "平均年龄" '
'FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_5" AS "简历（数量）", "qu_1"."co_2" AS "平均年龄" FROM (SELECT SUM("qu_2"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_job" AS "ta_0" GROUP BY "co_0") AS "qu_3" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."jobName") AS "co_1" FROM "v_job" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_3"."co_0" = "qu_2"."co_0") AS "qu_1" CROSS JOIN (SELECT SUM("qu_4"."co_4") AS "co_5" FROM (SELECT "ta_1"."openId" AS "co_3" FROM "v_resume" AS "ta_1" GROUP BY "co_3") AS "qu_5" LEFT JOIN (SELECT "ta_1"."openId" AS "co_3", COUNT("ta_1"."name") AS "co_4" FROM "v_resume" AS "ta_1" GROUP BY "co_3") AS "qu_4" ON "qu_5"."co_3" = "qu_4"."co_3") AS "qu_0"'
def test_aggregate_query8():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT COUNT(ResumeHumaninfo.name) AS "简历（数量）", COUNT(Job.name) AS "职位（数量）" '
', COUNT(Channel.name) AS "频道数量" FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_6" AS "简历（数量）", "qu_1"."co_10" AS "职位（数量）", "qu_0"."co_7" AS "频道数量" FROM (SELECT "qu_2"."co_5" AS "co_6", "qu_3"."co_2" AS "co_7" FROM (SELECT SUM("qu_4"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_5" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_1" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_4" ON "qu_5"."co_0" = "qu_4"."co_0") AS "qu_3" CROSS JOIN (SELECT SUM("qu_6"."co_4") AS "co_5" FROM (SELECT "ta_1"."openId" AS "co_3" FROM "v_resume" AS "ta_1" GROUP BY "co_3") AS "qu_7" LEFT JOIN (SELECT "ta_1"."openId" AS "co_3", COUNT("ta_1"."name") AS "co_4" FROM "v_resume" AS "ta_1" GROUP BY "co_3") AS "qu_6" ON "qu_7"."co_3" = "qu_6"."co_3") AS "qu_2") AS "qu_0" CROSS JOIN (SELECT SUM("qu_8"."co_9") AS "co_10" FROM (SELECT "ta_2"."openId" AS "co_8" FROM "v_job" AS "ta_2" GROUP BY "co_8") AS "qu_9" LEFT JOIN (SELECT "ta_2"."openId" AS "co_8", COUNT("ta_2"."jobName") AS "co_9" FROM "v_job" AS "ta_2" GROUP BY "co_8") AS "qu_8" ON "qu_9"."co_8" = "qu_8"."co_8") AS "qu_1"'
def test_aggregate_query9():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT COUNT(ResumeHumaninfo.name) AS "简历（数量）", AVG(ResumeHumaninfo.age) AS "平均年龄" '
'FROM recruitment WHERE Tenant.name IN (\'tenant-98\', \'maisui-70\') ').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_3" AS "简历（数量）", "qu_0"."co_4" AS "平均年龄" FROM (SELECT SUM("qu_1"."co_1") AS "co_3", AVG("qu_1"."co_2") AS "co_4" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_1" INNER JOIN "v_projects" AS "ta_2" ON "ta_1"."openId" = "ta_2"."channelOpenId" INNER JOIN "v_flow" AS "ta_3" ON "ta_2"."openId" = "ta_3"."circuitForeignId" INNER JOIN "v_resume" AS "ta_0" ON "ta_0"."openId" = "ta_3"."beanSourceId" INNER JOIN "v_tenant" AS "ta_4" ON "ta_1"."tenant" = "ta_4"."name" WHERE "ta_4"."name" IN (\'tenant-98\', \'maisui-70\') GROUP BY "co_0") AS "qu_2" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_1", AVG("ta_0"."ageNormalized") AS "co_2" FROM "v_resume" AS "ta_0" GROUP BY "co_0") AS "qu_1" ON "qu_2"."co_0" = "qu_1"."co_0") AS "qu_0"'
def test_aggregate_query10():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT COUNT(ResumeHumaninfo.name) AS "简历（数量）", AVG(ResumeHumaninfo.age) AS "平均年龄" '
'FROM recruitment WHERE Tenant.name IN (\'tenant-98\', \'maisui-70\') AND ResumeHumaninfo.age > 0').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_3" AS "简历（数量）", "qu_0"."co_4" AS "平均年龄" FROM (SELECT SUM("qu_1"."co_1") AS "co_3", AVG("qu_1"."co_2") AS "co_4" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_1" INNER JOIN "v_projects" AS "ta_2" ON "ta_1"."openId" = "ta_2"."channelOpenId" INNER JOIN "v_flow" AS "ta_3" ON "ta_2"."openId" = "ta_3"."circuitForeignId" INNER JOIN "v_resume" AS "ta_0" ON "ta_0"."openId" = "ta_3"."beanSourceId" INNER JOIN "v_tenant" AS "ta_4" ON "ta_1"."tenant" = "ta_4"."name" WHERE "ta_4"."name" IN (\'tenant-98\', \'maisui-70\') AND "ta_0"."ageNormalized" > 0 GROUP BY "co_0") AS "qu_2" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_1", AVG("ta_0"."ageNormalized") AS "co_2" FROM "v_resume" AS "ta_0" WHERE "ta_0"."ageNormalized" > 0 GROUP BY "co_0") AS "qu_1" ON "qu_2"."co_0" = "qu_1"."co_0") AS "qu_0"'
def test_aggregate_query11():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT COUNT(ResumeHumaninfo.name) AS "简历（数量）", COUNT(Job.name) AS "职位（数量）" '
', COUNT(Channel.name) AS "频道数量" FROM recruitment WHERE ResumeHumaninfo.age > 0').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_6" AS "简历（数量）", "qu_1"."co_10" AS "职位（数量）", "qu_0"."co_7" AS "频道数量" FROM (SELECT "qu_2"."co_5" AS "co_6", "qu_3"."co_2" AS "co_7" FROM (SELECT SUM("qu_4"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_1" ON "ta_0"."openId" = "ta_1"."channelOpenId" INNER JOIN "v_flow" AS "ta_2" ON "ta_1"."openId" = "ta_2"."circuitForeignId" INNER JOIN "v_resume" AS "ta_3" ON "ta_3"."openId" = "ta_2"."beanSourceId" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_0") AS "qu_5" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_1" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_4" ON "qu_5"."co_0" = "qu_4"."co_0") AS "qu_3" CROSS JOIN (SELECT SUM("qu_6"."co_4") AS "co_5" FROM (SELECT "ta_3"."openId" AS "co_3" FROM "v_resume" AS "ta_3" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_3") AS "qu_7" LEFT JOIN (SELECT "ta_3"."openId" AS "co_3", COUNT("ta_3"."name") AS "co_4" FROM "v_resume" AS "ta_3" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_3") AS "qu_6" ON "qu_7"."co_3" = "qu_6"."co_3") AS "qu_2") AS "qu_0" CROSS JOIN (SELECT SUM("qu_8"."co_9") AS "co_10" FROM (SELECT "ta_4"."openId" AS "co_8" FROM "v_flow" AS "ta_2" INNER JOIN "v_projects" AS "ta_1" ON "ta_1"."openId" = "ta_2"."circuitForeignId" INNER JOIN "v_job" AS "ta_4" ON "ta_1"."payloadType" = \'Job\' AND "ta_1"."payloadOpenId" = "ta_4"."openId" INNER JOIN "v_resume" AS "ta_3" ON "ta_3"."openId" = "ta_2"."beanSourceId" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_8") AS "qu_9" LEFT JOIN (SELECT "ta_4"."openId" AS "co_8", COUNT("ta_4"."jobName") AS "co_9" FROM "v_job" AS "ta_4" GROUP BY "co_8") AS "qu_8" ON "qu_9"."co_8" = "qu_8"."co_8") AS "qu_1"'
def test_aggregate_query12():
class PredicateAppender(SqlPredicateAppender):
def append(self, introspection: SqlNodeIntrospection, table: SqlTable):
if table.name == 'Tenant':
column = SqlColumn(table, SqlIdentifier("name"))
else:
column = SqlColumn(table, SqlIdentifier("tenant"))
rhs = SqlLiteral(StringLiteral('tenant-98'))
SqlComparison(column, O_EQ, rhs).inspect(introspection)
sql_rewriter = SqlRewriter(recruitment_schema, sql_predicate_appender=PredicateAppender())
parse_flatql('SELECT COUNT(ResumeHumaninfo.name) AS "简历（数量）", COUNT(Job.name) AS "职位（数量）" '
', COUNT(Channel.name) AS "频道数量" FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_6" AS "简历（数量）", "qu_1"."co_10" AS "职位（数量）", "qu_0"."co_7" AS "频道数量" FROM (SELECT "qu_2"."co_5" AS "co_6", "qu_3"."co_2" AS "co_7" FROM (SELECT SUM("qu_4"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_1" ON "ta_0"."openId" = "ta_1"."channelOpenId" INNER JOIN "v_flow" AS "ta_2" ON "ta_1"."openId" = "ta_2"."circuitForeignId" INNER JOIN "v_job" AS "ta_3" ON "ta_1"."payloadType" = \'Job\' AND "ta_1"."payloadOpenId" = "ta_3"."openId" INNER JOIN "v_resume" AS "ta_4" ON "ta_4"."openId" = "ta_2"."beanSourceId" WHERE "ta_0"."tenant" = \'tenant-98\' AND "ta_2"."tenant" = \'tenant-98\' AND "ta_3"."tenant" = \'tenant-98\' AND "ta_1"."tenant" = \'tenant-98\' AND "ta_4"."tenant" = \'tenant-98\' GROUP BY "co_0") AS "qu_5" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_1" FROM "v_channels" AS "ta_0" WHERE "ta_0"."tenant" = \'tenant-98\' GROUP BY "co_0") AS "qu_4" ON "qu_5"."co_0" = "qu_4"."co_0") AS "qu_3" CROSS JOIN (SELECT SUM("qu_6"."co_4") AS "co_5" FROM (SELECT "ta_4"."openId" AS "co_3" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_1" ON "ta_0"."openId" = "ta_1"."channelOpenId" INNER JOIN "v_flow" AS "ta_2" ON "ta_1"."openId" = "ta_2"."circuitForeignId" INNER JOIN "v_job" AS "ta_3" ON "ta_1"."payloadType" = \'Job\' AND "ta_1"."payloadOpenId" = "ta_3"."openId" INNER JOIN "v_resume" AS "ta_4" ON "ta_4"."openId" = "ta_2"."beanSourceId" WHERE "ta_0"."tenant" = \'tenant-98\' AND "ta_2"."tenant" = \'tenant-98\' AND "ta_3"."tenant" = \'tenant-98\' AND "ta_1"."tenant" = \'tenant-98\' AND "ta_4"."tenant" = \'tenant-98\' GROUP BY "co_3") AS "qu_7" LEFT JOIN (SELECT "ta_4"."openId" AS "co_3", COUNT("ta_4"."name") AS "co_4" FROM "v_resume" AS "ta_4" WHERE "ta_4"."tenant" = \'tenant-98\' GROUP BY "co_3") AS "qu_6" ON "qu_7"."co_3" = "qu_6"."co_3") AS "qu_2") AS "qu_0" CROSS JOIN (SELECT SUM("qu_8"."co_9") AS "co_10" FROM (SELECT "ta_3"."openId" AS "co_8" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_1" ON "ta_0"."openId" = "ta_1"."channelOpenId" INNER JOIN "v_flow" AS "ta_2" ON "ta_1"."openId" = "ta_2"."circuitForeignId" INNER JOIN "v_job" AS "ta_3" ON "ta_1"."payloadType" = \'Job\' AND "ta_1"."payloadOpenId" = "ta_3"."openId" INNER JOIN "v_resume" AS "ta_4" ON "ta_4"."openId" = "ta_2"."beanSourceId" WHERE "ta_0"."tenant" = \'tenant-98\' AND "ta_2"."tenant" = \'tenant-98\' AND "ta_3"."tenant" = \'tenant-98\' AND "ta_1"."tenant" = \'tenant-98\' AND "ta_4"."tenant" = \'tenant-98\' GROUP BY "co_8") AS "qu_9" LEFT JOIN (SELECT "ta_3"."openId" AS "co_8", COUNT("ta_3"."jobName") AS "co_9" FROM "v_job" AS "ta_3" WHERE "ta_3"."tenant" = \'tenant-98\' GROUP BY "co_8") AS "qu_8" ON "qu_9"."co_8" = "qu_8"."co_8") AS "qu_1"'
def test_aggregate_query13():
class PredicateAppender(SqlPredicateAppender):
def append(self, introspection: SqlNodeIntrospection, table: SqlTable):
if table.name == 'Tenant':
column = SqlColumn(table, SqlIdentifier("name"))
else:
column = SqlColumn(table, SqlIdentifier("tenant"))
rhs = SqlLiteral(StringLiteral('tenant-98'))
SqlComparison(column, O_EQ, rhs).inspect(introspection)
sql_rewriter = SqlRewriter(recruitment_schema, sql_predicate_appender=PredicateAppender())
parse_flatql('SELECT COUNT(Tenant.name) AS "租户（数量）", COUNT(Channel.name) AS "频道数量" FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_5" AS "租户（数量）", "qu_1"."co_2" AS "频道数量" FROM (SELECT SUM("qu_2"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_0" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" WHERE "ta_0"."tenant" = \'tenant-98\' AND "ta_1"."name" = \'tenant-98\' GROUP BY "co_0") AS "qu_3" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_1" FROM "v_channels" AS "ta_0" WHERE "ta_0"."tenant" = \'tenant-98\' GROUP BY "co_0") AS "qu_2" ON "qu_3"."co_0" = "qu_2"."co_0") AS "qu_1" CROSS JOIN (SELECT SUM("qu_4"."co_4") AS "co_5" FROM (SELECT "ta_1"."name" AS "co_3" FROM "v_channels" AS "ta_0" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" WHERE "ta_0"."tenant" = \'tenant-98\' AND "ta_1"."name" = \'tenant-98\' GROUP BY "co_3") AS "qu_5" LEFT JOIN (SELECT "ta_1"."name" AS "co_3", COUNT("ta_1"."name") AS "co_4" FROM "v_tenant" AS "ta_1" WHERE "ta_1"."name" = \'tenant-98\' GROUP BY "co_3") AS "qu_4" ON "qu_5"."co_3" = "qu_4"."co_3") AS "qu_0"'
def test_aggregate_query14():
class PredicateAppender(SqlPredicateAppender):
def append(self, introspection: SqlNodeIntrospection, table: SqlTable):
if table.name == 'Tenant':
column = SqlColumn(table, SqlIdentifier("name"))
else:
column = SqlColumn(table, SqlIdentifier("tenant"))
rhs = SqlLiteral(StringLiteral('tenant-98'))
SqlComparison(column, O_EQ, rhs).inspect(introspection)
sql_rewriter = SqlRewriter(recruitment_schema, sql_predicate_appender=PredicateAppender())
parse_flatql('SELECT Tenant.name AS "租户", COUNT(Job.name) AS "租户（数量）", COUNT(Channel.name) AS "频道数量" FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_1" AS "租户", "qu_0"."co_6" AS "租户（数量）", "qu_1"."co_3" AS "频道数量" FROM (SELECT "qu_2"."co_1" AS "co_1", SUM("qu_3"."co_2") AS "co_3" FROM (SELECT "ta_0"."openId" AS "co_0", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_2" ON "ta_0"."openId" = "ta_2"."channelOpenId" INNER JOIN "v_job" AS "ta_3" ON "ta_2"."payloadType" = \'Job\' AND "ta_2"."payloadOpenId" = "ta_3"."openId" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" WHERE "ta_0"."tenant" = \'tenant-98\' AND "ta_3"."tenant" = \'tenant-98\' AND "ta_2"."tenant" = \'tenant-98\' AND "ta_1"."name" = \'tenant-98\' GROUP BY "co_0", "co_1") AS "qu_2" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_2" FROM "v_channels" AS "ta_0" WHERE "ta_0"."tenant" = \'tenant-98\' GROUP BY "co_0") AS "qu_3" ON "qu_2"."co_0" = "qu_3"."co_0" GROUP BY "co_1") AS "qu_1" INNER JOIN (SELECT "qu_4"."co_1" AS "co_1", SUM("qu_5"."co_5") AS "co_6" FROM (SELECT "ta_3"."openId" AS "co_4", "ta_1"."name" AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_2" ON "ta_0"."openId" = "ta_2"."channelOpenId" INNER JOIN "v_job" AS "ta_3" ON "ta_2"."payloadType" = \'Job\' AND "ta_2"."payloadOpenId" = "ta_3"."openId" INNER JOIN "v_tenant" AS "ta_1" ON "ta_0"."tenant" = "ta_1"."name" WHERE "ta_0"."tenant" = \'tenant-98\' AND "ta_3"."tenant" = \'tenant-98\' AND "ta_2"."tenant" = \'tenant-98\' AND "ta_1"."name" = \'tenant-98\' GROUP BY "co_4", "co_1") AS "qu_4" LEFT JOIN (SELECT "ta_3"."openId" AS "co_4", COUNT("ta_3"."jobName") AS "co_5" FROM "v_job" AS "ta_3" WHERE "ta_3"."tenant" = \'tenant-98\' GROUP BY "co_4") AS "qu_5" ON "qu_4"."co_4" = "qu_5"."co_4" GROUP BY "co_1") AS "qu_0" ON "qu_1"."co_1" = "qu_0"."co_1"'
def test_aggregate_query15():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT COUNT(ResumeHumaninfo.name) AS "简历（数量）"'
', COUNT(Channel.name) AS "频道数量", AVG(ResumeHumaninfo.age) AS "平均年龄" FROM recruitment WHERE ResumeHumaninfo.age > 0').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_6" AS "简历（数量）", "qu_1"."co_2" AS "频道数量", "qu_0"."co_7" AS "平均年龄" FROM (SELECT SUM("qu_2"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_1" ON "ta_0"."openId" = "ta_1"."channelOpenId" INNER JOIN "v_flow" AS "ta_2" ON "ta_1"."openId" = "ta_2"."circuitForeignId" INNER JOIN "v_resume" AS "ta_3" ON "ta_3"."openId" = "ta_2"."beanSourceId" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_0") AS "qu_3" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_1" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_3"."co_0" = "qu_2"."co_0") AS "qu_1" CROSS JOIN (SELECT SUM("qu_4"."co_4") AS "co_6", AVG("qu_4"."co_5") AS "co_7" FROM (SELECT "ta_3"."openId" AS "co_3" FROM "v_resume" AS "ta_3" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_3") AS "qu_5" LEFT JOIN (SELECT "ta_3"."openId" AS "co_3", COUNT("ta_3"."name") AS "co_4", AVG("ta_3"."ageNormalized") AS "co_5" FROM "v_resume" AS "ta_3" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_3") AS "qu_4" ON "qu_5"."co_3" = "qu_4"."co_3") AS "qu_0"'
def test_aggregate_query16():
class PredicateAppender(SqlPredicateAppender):
def append(self, introspection: SqlNodeIntrospection, table: SqlTable):
if table.name == 'Tenant':
column = SqlColumn(table, SqlIdentifier("name"))
else:
column = SqlColumn(table, SqlIdentifier("tenant"))
rhs = SqlLiteral(StringLiteral('tenant-98'))
SqlComparison(column, O_EQ, rhs).inspect(introspection)
sql_rewriter = SqlRewriter(recruitment_schema, sql_predicate_appender=PredicateAppender())
parse_flatql('SELECT COUNT(ResumeHumaninfo.name) AS "简历（数量）" FROM recruitment '
'WHERE Channel.openId = \'tip-c01616f4-2bfa-49ba-bb17-799a6b66a631\' AND Project.openId = \'tip-1562b097-b29a-4a1c-bd7e-b7ba162329d8\'').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_2" AS "简历（数量）" FROM (SELECT SUM("qu_1"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_1" INNER JOIN "v_projects" AS "ta_2" ON "ta_1"."openId" = "ta_2"."channelOpenId" INNER JOIN "v_flow" AS "ta_3" ON "ta_2"."openId" = "ta_3"."circuitForeignId" INNER JOIN "v_resume" AS "ta_0" ON "ta_0"."openId" = "ta_3"."beanSourceId" WHERE "ta_1"."openId" = \'tip-c01616f4-2bfa-49ba-bb17-799a6b66a631\' AND "ta_2"."openId" = \'tip-1562b097-b29a-4a1c-bd7e-b7ba162329d8\' AND "ta_1"."tenant" = \'tenant-98\' AND "ta_3"."tenant" = \'tenant-98\' AND "ta_2"."tenant" = \'tenant-98\' AND "ta_0"."tenant" = \'tenant-98\' GROUP BY "co_0") AS "qu_2" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_1" FROM "v_resume" AS "ta_0" WHERE "ta_0"."tenant" = \'tenant-98\' GROUP BY "co_0") AS "qu_1" ON "qu_2"."co_0" = "qu_1"."co_0") AS "qu_0"'
def test_aggregate_query17():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT AVG(ResumeHumaninfo.age) AS "平均年龄", (COUNT(ResumeHumaninfo.name) + 100) / AVG(ResumeHumaninfo.age) AS "简历（数量）"'
', COUNT(Channel.name) AS "频道数量" FROM recruitment WHERE ResumeHumaninfo.age > 0').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_6" AS "平均年龄", ("qu_0"."co_7" + 100) / "qu_0"."co_6" AS "简历（数量）", "qu_1"."co_2" AS "频道数量" FROM (SELECT SUM("qu_2"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_1" ON "ta_0"."openId" = "ta_1"."channelOpenId" INNER JOIN "v_flow" AS "ta_2" ON "ta_1"."openId" = "ta_2"."circuitForeignId" INNER JOIN "v_resume" AS "ta_3" ON "ta_3"."openId" = "ta_2"."beanSourceId" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_0") AS "qu_3" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT("ta_0"."name") AS "co_1" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_3"."co_0" = "qu_2"."co_0") AS "qu_1" CROSS JOIN (SELECT AVG("qu_4"."co_4") AS "co_6", SUM("qu_4"."co_5") AS "co_7" FROM (SELECT "ta_3"."openId" AS "co_3" FROM "v_resume" AS "ta_3" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_3") AS "qu_5" LEFT JOIN (SELECT "ta_3"."openId" AS "co_3", AVG("ta_3"."ageNormalized") AS "co_4", COUNT("ta_3"."name") AS "co_5" FROM "v_resume" AS "ta_3" WHERE "ta_3"."ageNormalized" > 0 GROUP BY "co_3") AS "qu_4" ON "qu_5"."co_3" = "qu_4"."co_3") AS "qu_0"'
def test_aggregate_query18():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT COUNT(CASE WHEN ResumeHumaninfo.age IS NOT NULL THEN 1 ELSE NULL END) FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT COUNT(CASE WHEN "ta_0"."ageNormalized" IS NOT NULL THEN 1 ELSE NULL END) FROM "v_resume" AS "ta_0"'
def test_aggregate_query19():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT ResumeHumaninfo.age + 10 AS "年龄", COUNT(CASE WHEN Channel.name IS NOT NULL THEN 1 ELSE NULL END) AS "频道数量" '
'FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_1" AS "年龄", "qu_0"."co_3" AS "频道数量" FROM (SELECT "qu_1"."co_1" AS "co_1", SUM("qu_2"."co_2") AS "co_3" FROM (SELECT "ta_0"."openId" AS "co_0", "ta_1"."ageNormalized" + 10 AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_2" ON "ta_0"."openId" = "ta_2"."channelOpenId" INNER JOIN "v_flow" AS "ta_3" ON "ta_2"."openId" = "ta_3"."circuitForeignId" INNER JOIN "v_resume" AS "ta_1" ON "ta_1"."openId" = "ta_3"."beanSourceId" GROUP BY "co_0", "co_1") AS "qu_1" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT(CASE WHEN "ta_0"."name" IS NOT NULL THEN 1 ELSE NULL END) AS "co_2" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_1"."co_0" = "qu_2"."co_0" GROUP BY "co_1") AS "qu_0"'
def test_aggregate_query20():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT AVG(ResumeHumaninfo.age) + 10 AS "年龄", COUNT(CASE WHEN Channel.name IS NOT NULL THEN 1 ELSE NULL END) AS "频道数量" '
'FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_3" + 10 AS "年龄", "qu_1"."co_2" AS "频道数量" FROM (SELECT SUM("qu_2"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_3" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT(CASE WHEN "ta_0"."name" IS NOT NULL THEN 1 ELSE NULL END) AS "co_1" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_3"."co_0" = "qu_2"."co_0") AS "qu_1" CROSS JOIN (SELECT AVG("ta_1"."ageNormalized") AS "co_3" FROM "v_resume" AS "ta_1") AS "qu_0"'
def test_aggregate_query21():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT (AVG(ResumeHumaninfo.age) + 10) AS "年龄", COUNT(CASE WHEN Channel.name IS NOT NULL THEN 1 ELSE NULL END) AS "频道数量" '
'FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT ("qu_0"."co_3" + 10) AS "年龄", "qu_1"."co_2" AS "频道数量" FROM (SELECT SUM("qu_2"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_3" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT(CASE WHEN "ta_0"."name" IS NOT NULL THEN 1 ELSE NULL END) AS "co_1" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_3"."co_0" = "qu_2"."co_0") AS "qu_1" CROSS JOIN (SELECT AVG("ta_1"."ageNormalized") AS "co_3" FROM "v_resume" AS "ta_1") AS "qu_0"'
def test_aggregate_query22():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT (AVG(ResumeHumaninfo.age) + 10) * 100 - 10 AS "年龄", COUNT(CASE WHEN Channel.name IS NOT NULL THEN 1 ELSE NULL END) AS "频道数量" '
'FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT ("qu_0"."co_3" + 10) * 100 - 10 AS "年龄", "qu_1"."co_2" AS "频道数量" FROM (SELECT SUM("qu_2"."co_1") AS "co_2" FROM (SELECT "ta_0"."openId" AS "co_0" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_3" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT(CASE WHEN "ta_0"."name" IS NOT NULL THEN 1 ELSE NULL END) AS "co_1" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_3"."co_0" = "qu_2"."co_0") AS "qu_1" CROSS JOIN (SELECT AVG("ta_1"."ageNormalized") AS "co_3" FROM "v_resume" AS "ta_1") AS "qu_0"'
def test_aggregate_query23():
sql_rewriter = SqlRewriter(recruitment_schema)
parse_flatql('SELECT CASE WHEN ResumeHumaninfo.age BETWEEN 0 AND 30 THEN \'青年\' ELSE \'壮年\' END AS "年龄段", '
'COUNT(CASE WHEN Channel.name IS NOT NULL THEN 1 ELSE NULL END) AS "频道数量" '
'FROM recruitment').rewrite(sql_rewriter)
assert sql_rewriter.to_sql() == 'SELECT "qu_0"."co_1" AS "年龄段", "qu_0"."co_3" AS "频道数量" FROM (SELECT "qu_1"."co_1" AS "co_1", SUM("qu_2"."co_2") AS "co_3" FROM (SELECT "ta_0"."openId" AS "co_0", CASE WHEN "ta_1"."ageNormalized" BETWEEN 0 AND 30 THEN \'青年\' ELSE \'壮年\' END AS "co_1" FROM "v_channels" AS "ta_0" INNER JOIN "v_projects" AS "ta_2" ON "ta_0"."openId" = "ta_2"."channelOpenId" INNER JOIN "v_flow" AS "ta_3" ON "ta_2"."openId" = "ta_3"."circuitForeignId" INNER JOIN "v_resume" AS "ta_1" ON "ta_1"."openId" = "ta_3"."beanSourceId" GROUP BY "co_0", "co_1") AS "qu_1" LEFT JOIN (SELECT "ta_0"."openId" AS "co_0", COUNT(CASE WHEN "ta_0"."name" IS NOT NULL THEN 1 ELSE NULL END) AS "co_2" FROM "v_channels" AS "ta_0" GROUP BY "co_0") AS "qu_2" ON "qu_1"."co_0" = "qu_2"."co_0" GROUP BY "co_1") AS "qu_0"'
| 147.706349 | 2,812 | 0.658777 | 6,896 | 37,222 | 3.291183 | 0.024797 | 0.035249 | 0.034896 | 0.014804 | 0.94488 | 0.935451 | 0.925626 | 0.909059 | 0.888571 | 0.862883 | 0 | 0.055603 | 0.146231 | 37,222 | 251 | 2,813 | 148.294821 | 0.65858 | 0 | 0 | 0.42623 | 0 | 0.42623 | 0.766831 | 0.08006 | 0 | 0 | 0 | 0 | 0.163934 | 1 | 0.174863 | false | 0 | 0.043716 | 0 | 0.240437 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
7f46094ac8040788fef022a89271c749812fee29 | 87 | py | Python | fastpivot/__init__.py | SethEBaldwin/fastpivot | 950ca50105346180cb4c42aacdd9418473860aaf | [
"MIT"
] | null | null | null | fastpivot/__init__.py | SethEBaldwin/fastpivot | 950ca50105346180cb4c42aacdd9418473860aaf | [
"MIT"
] | null | null | null | fastpivot/__init__.py | SethEBaldwin/fastpivot | 950ca50105346180cb4c42aacdd9418473860aaf | [
"MIT"
] | null | null | null | from fastpivot.pivot import pivot_table
from fastpivot.pivot_sparse import pivot_sparse | 43.5 | 47 | 0.896552 | 13 | 87 | 5.769231 | 0.461538 | 0.346667 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08046 | 87 | 2 | 47 | 43.5 | 0.9375 | 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 |
7f5a5ee2bf8d7bc082cd055c16abcfe62b650843 | 49 | py | Python | yolo/net_ori/__init__.py | cxz1418/yolo_resnet | d53e4d178bd7984ee8dd545a7e6c98e81641a4ee | [
"MIT"
] | null | null | null | yolo/net_ori/__init__.py | cxz1418/yolo_resnet | d53e4d178bd7984ee8dd545a7e6c98e81641a4ee | [
"MIT"
] | null | null | null | yolo/net_ori/__init__.py | cxz1418/yolo_resnet | d53e4d178bd7984ee8dd545a7e6c98e81641a4ee | [
"MIT"
] | null | null | null | import net
import yolo_net
import yolo_tiny_net | 16.333333 | 20 | 0.857143 | 9 | 49 | 4.333333 | 0.444444 | 0.461538 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 49 | 3 | 20 | 16.333333 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 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 | 8 |
7f5ee45af325d7862f89b4085bd7f3d2bddafc5a | 211 | py | Python | api/waitlist/data/implants.py | testkil/tdf-waitlist | dfa54b4fd3bf2ff9acbd96a281e784e04a2187fa | [
"MIT"
] | null | null | null | api/waitlist/data/implants.py | testkil/tdf-waitlist | dfa54b4fd3bf2ff9acbd96a281e784e04a2187fa | [
"MIT"
] | null | null | null | api/waitlist/data/implants.py | testkil/tdf-waitlist | dfa54b4fd3bf2ff9acbd96a281e784e04a2187fa | [
"MIT"
] | null | null | null | from typing import List
from . import esi
def load_character_implants(character_id: int) -> List[int]:
return list(
esi.get("/v2/characters/%d/implants/" % character_id, character_id).json()
)
| 23.444444 | 82 | 0.691943 | 29 | 211 | 4.862069 | 0.586207 | 0.234043 | 0.269504 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00578 | 0.180095 | 211 | 8 | 83 | 26.375 | 0.809249 | 0 | 0 | 0 | 0 | 0 | 0.127962 | 0.127962 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0.166667 | 0.666667 | 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 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
7fb8f78fb88cdf6e3ae5200e44100c1638003763 | 14,050 | py | Python | test/test_patterns.py | DatHydroGuy/RayTracer | f870d3eb0408e52b92ee528bb6615187b762bede | [
"MIT"
] | null | null | null | test/test_patterns.py | DatHydroGuy/RayTracer | f870d3eb0408e52b92ee528bb6615187b762bede | [
"MIT"
] | null | null | null | test/test_patterns.py | DatHydroGuy/RayTracer | f870d3eb0408e52b92ee528bb6615187b762bede | [
"MIT"
] | null | null | null | import unittest
from patterns import *
from colours import Colour
from primitives import *
from math import pi
class TestPattern(Pattern):
def __init__(self, colour_a=WHITE, colour_b=BLACK):
super().__init__(colour_a, colour_b)
def pattern_at(self, point):
return Colour(point.x, point.y, point.z)
def pattern_at_shape(self, shape, point):
return super(TestPattern, self).pattern_at_shape(shape, point)
class PatternsTestCase(unittest.TestCase):
def test_black_exists(self):
# Arrange
expected = Colour(0, 0, 0)
# Act
black = BLACK
# Assert
self.assertEqual(black, expected)
def test_white_exists(self):
# Arrange
expected = Colour(1, 1, 1)
# Act
black = WHITE
# Assert
self.assertEqual(black, expected)
def test_default_pattern_transformation(self):
# Arrange
expected = Matrix.identity(4)
# Act
c = TestPattern()
# Assert
self.assertEqual(c.transform, expected)
def test_assigning_a_pattern_transformation(self):
# Arrange
c = TestPattern()
expected = Matrix.translation(1, 2, 3)
# Act
c.transform = Matrix.translation(1, 2, 3)
# Assert
self.assertEqual(c.transform, expected)
def test_a_pattern_with_an_object_transformation(self):
# Arrange
s = Sphere()
s.transform = Matrix.scaling(2, 2, 2)
p = TestPattern()
expected = Colour(1, 1.5, 2)
# Act
c = p.pattern_at_shape(s, Point(2, 3, 4))
# Assert
self.assertEqual(c, expected)
def test_a_pattern_with_a_pattern_transformation(self):
# Arrange
s = Sphere()
p = TestPattern()
p.transform = Matrix.scaling(2, 2, 2)
expected = Colour(1, 1.5, 2)
# Act
c = p.pattern_at_shape(s, Point(2, 3, 4))
# Assert
self.assertEqual(c, expected)
def test_a_pattern_with_an_object_and_a_pattern_transformation(self):
# Arrange
s = Sphere()
s.transform = Matrix.scaling(2, 2, 2)
p = TestPattern()
p.transform = Matrix.translation(0.5, 1, 1.5)
expected = Colour(0.75, 0.5, 0.25)
# Act
c = p.pattern_at_shape(s, Point(2.5, 3, 3.5))
# Assert
self.assertEqual(c, expected)
class StripedPatternTestCase(unittest.TestCase):
def test_create_a_striped_pattern(self):
# Arrange
# Act
pattern = StripePattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.a, WHITE)
self.assertEqual(pattern.b, BLACK)
def test_a_striped_pattern_is_constant_in_y(self):
# Arrange
# Act
pattern = StripePattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0, 1, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0, 2, 0)), WHITE)
def test_a_striped_pattern_is_constant_in_z(self):
# Arrange
# Act
pattern = StripePattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0, 0, 1)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0, 0, 2)), WHITE)
def test_a_striped_pattern_alternates_in_x(self):
# Arrange
# Act
pattern = StripePattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0.9, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(1, 0, 0)), BLACK)
self.assertEqual(pattern.pattern_at(Point(-0.1, 0, 0)), BLACK)
self.assertEqual(pattern.pattern_at(Point(-1, 0, 0)), BLACK)
self.assertEqual(pattern.pattern_at(Point(-1.1, 0, 0)), WHITE)
def test_stripes_with_an_object_transformation(self):
# Arrange
s = Sphere()
s.set_transform(Matrix.scaling(2, 2, 2))
pattern = StripePattern(WHITE, BLACK)
# Act
c = pattern.pattern_at_shape(s, Point(1.5, 0, 0))
# Assert
self.assertEqual(c, WHITE)
def test_stripes_with_a_pattern_transformation(self):
# Arrange
s = Sphere()
pattern = StripePattern(WHITE, BLACK)
pattern.transform = Matrix.scaling(2, 2, 2)
# Act
c = pattern.pattern_at_shape(s, Point(1.5, 0, 0))
# Assert
self.assertEqual(c, WHITE)
def test_stripes_with_both_an_object_and_a_pattern_transformation(self):
# Arrange
s = Sphere()
s.set_transform(Matrix.scaling(2, 2, 2))
pattern = StripePattern(WHITE, BLACK)
pattern.transform = Matrix.translation(0.5, 0, 0)
# Act
c = pattern.pattern_at_shape(s, Point(2.5, 0, 0))
# Assert
self.assertEqual(c, WHITE)
class GradientPatternTestCase(unittest.TestCase):
def test_a_gradient_linearly_interpolates_between_colours(self):
# Arrange
# Act
pattern = GradientPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0.25, 0, 0)), Colour(0.75, 0.75, 0.75))
self.assertEqual(pattern.pattern_at(Point(0.5, 0, 0)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(0.75, 0, 0)), Colour(0.25, 0.25, 0.25))
self.assertEqual(pattern.pattern_at(Point(1, 0, 0)), BLACK)
class DoubleGradientPatternTestCase(unittest.TestCase):
def test_a_double_gradient_linearly_interpolates_between_colours_in_first_half(self):
# Arrange
# Act
pattern = DoubleGradientPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0.125, 0, 0)), Colour(0.75, 0.75, 0.75))
self.assertEqual(pattern.pattern_at(Point(0.25, 0, 0)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(0.375, 0, 0)), Colour(0.25, 0.25, 0.25))
self.assertEqual(pattern.pattern_at(Point(0.5, 0, 0)), BLACK)
def test_a_double_gradient_reverse_linearly_interpolates_between_colours_in_second_half(self):
# Arrange
# Act
pattern = DoubleGradientPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(1, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0.875, 0, 0)), Colour(0.75, 0.75, 0.75))
self.assertEqual(pattern.pattern_at(Point(0.75, 0, 0)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(0.625, 0, 0)), Colour(0.25, 0.25, 0.25))
self.assertEqual(pattern.pattern_at(Point(0.5, 0, 0)), BLACK)
class RingPatternTestCase(unittest.TestCase):
def test_a_ring_pattern_should_extend_in_both_x_and_z(self):
# Arrange
# Act
pattern = RingPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(1, 0, 0)), BLACK)
self.assertEqual(pattern.pattern_at(Point(0, 0, 1)), BLACK)
self.assertEqual(pattern.pattern_at(Point(0.708, 0, 0.708)), BLACK)
class GradientRingPatternTestCase(unittest.TestCase):
def test_a_gradient_ring_linearly_interpolates_in_both_x_and_z_directions(self):
# Arrange
# Act
pattern = GradientRingPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0.25, 0, 0)), Colour(0.75, 0.75, 0.75))
self.assertEqual(pattern.pattern_at(Point(0, 0, 0.5)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(0, 0, -0.75)), Colour(0.25, 0.25, 0.25))
self.assertEqual(pattern.pattern_at(Point(-1, 0, 0)), BLACK)
def test_a_gradient_ring_repeats_in_both_x_and_z_directions(self):
# Arrange
val = 1 / (2 * sqrt(2))
# Act
pattern = GradientRingPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(val, 0, -val)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(1, 0, 0)), BLACK)
self.assertEqual(pattern.pattern_at(Point(-2 * val, 0, 2 * val)), BLACK)
self.assertEqual(pattern.pattern_at(Point(-3 * val, 0, -3 * val)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(5 * val, 0, 5 * val)), Colour(0.5, 0.5, 0.5))
class DoubleGradientRingPatternTestCase(unittest.TestCase):
def test_double_gradient_ring_linearly_interpolates_in_both_x_and_z_directions_in_first_half(self):
# Arrange
# Act
pattern = DoubleGradientRingPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0.125, 0, 0)), Colour(0.75, 0.75, 0.75))
self.assertEqual(pattern.pattern_at(Point(0, 0, 0.25)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(0, 0, -0.375)), Colour(0.25, 0.25, 0.25))
self.assertEqual(pattern.pattern_at(Point(-0.5, 0, 0)), BLACK)
def test_double_gradient_ring_linearly_interpolates_in_both_x_and_z_directions_in_second_half(self):
# Arrange
# Act
pattern = DoubleGradientRingPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(1, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0, 0, 0.875)), Colour(0.75, 0.75, 0.75))
self.assertEqual(pattern.pattern_at(Point(0, 0, -0.75)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(-0.625, 0, 0)), Colour(0.25, 0.25, 0.25))
self.assertEqual(pattern.pattern_at(Point(0.5, 0, 0)), BLACK)
def test_double_gradient_ring_repeats_in_both_x_and_z_directions(self):
# Arrange
val = 1 / (4 * sqrt(2))
# Act
pattern = DoubleGradientRingPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(val, 0, -val)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(0.5, 0, 0)), BLACK)
self.assertEqual(pattern.pattern_at(Point(-2 * val, 0, 2 * val)), BLACK)
self.assertEqual(pattern.pattern_at(Point(-3 * val, 0, -3 * val)), Colour(0.5, 0.5, 0.5))
self.assertEqual(pattern.pattern_at(Point(0, 0, -1)), WHITE)
self.assertEqual(pattern.pattern_at(Point(5 * val, 0, 5 * val)), Colour(0.5, 0.5, 0.5))
class CheckersPatternTestCase(unittest.TestCase):
def test_checkers_should_repeat_in_x(self):
# Arrange
# Act
pattern = CheckersPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0.99, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(1.01, 0, 0)), BLACK)
def test_checkers_should_repeat_in_y(self):
# Arrange
# Act
pattern = CheckersPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0, 0.99, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0, 1.01, 0)), BLACK)
def test_checkers_should_repeat_in_z(self):
# Arrange
# Act
pattern = CheckersPattern(WHITE, BLACK)
# Assert
self.assertEqual(pattern.pattern_at(Point(0, 0, 0)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0, 0, 0.99)), WHITE)
self.assertEqual(pattern.pattern_at(Point(0, 0, 1.01)), BLACK)
class BlendedPatternTestCase(unittest.TestCase):
def setUp(self) -> None:
self.ground = Plane()
pattern1 = StripePattern(WHITE, BLACK)
pattern2 = StripePattern(WHITE, BLACK)
pattern2.transform = Matrix.rotation_y(pi / 2)
ground_pattern = BlendedPattern(pattern1, pattern2)
self.ground.material = Material()
self.ground.material.pattern = ground_pattern
def test_blended_stripes_at_right_angles_should_repeat_in_x(self):
# Arrange
GREY = Colour(0.5, 0.5, 0.5)
# Act
results1 = [self.ground.material.pattern.pattern_at_shape(self.ground, Point(x + 0.5, 0, 0.5))
for x in range(-5, 6)]
results2 = [self.ground.material.pattern.pattern_at_shape(self.ground, Point(x + 0.5, 0, 1.5))
for x in range(-5, 6)]
# Assert
self.assertTrue(all([r == BLACK for i, r in enumerate(results1) if i == 0 % 2]))
self.assertTrue(all([r == GREY for i, r in enumerate(results1) if i == 1 % 2]))
self.assertTrue(all([r == GREY for i, r in enumerate(results2) if i == 0 % 2]))
self.assertTrue(all([r == WHITE for i, r in enumerate(results2) if i == 1 % 2]))
def test_blended_stripes_at_right_angles_should_repeat_in_z(self):
# Arrange
GREY = Colour(0.5, 0.5, 0.5)
# Act
results1 = [self.ground.material.pattern.pattern_at_shape(self.ground, Point(0.5, 0, x + 0.5))
for x in range(-5, 6)]
results2 = [self.ground.material.pattern.pattern_at_shape(self.ground, Point(1.5, 0, x + 0.5))
for x in range(-5, 6)]
# Assert
self.assertTrue(all([r == WHITE for i, r in enumerate(results1) if i == 0 % 2]))
self.assertTrue(all([r == GREY for i, r in enumerate(results1) if i == 1 % 2]))
self.assertTrue(all([r == GREY for i, r in enumerate(results2) if i == 0 % 2]))
self.assertTrue(all([r == BLACK for i, r in enumerate(results2) if i == 1 % 2]))
if __name__ == '__main__':
unittest.main()
| 35.301508 | 104 | 0.629893 | 1,948 | 14,050 | 4.377823 | 0.069815 | 0.0197 | 0.140713 | 0.231238 | 0.846623 | 0.793856 | 0.773804 | 0.752228 | 0.701571 | 0.690197 | 0 | 0.056798 | 0.239359 | 14,050 | 397 | 105 | 35.390428 | 0.741181 | 0.037794 | 0 | 0.446009 | 0 | 0 | 0.000596 | 0 | 0 | 0 | 0 | 0 | 0.413146 | 1 | 0.150235 | false | 0 | 0.023474 | 0.00939 | 0.230047 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f689f807d137cb00d29cab3ac21e8a78eac92cc7 | 259 | py | Python | chap5_the_matrix/chap5.py | lastone9182/CodingtheMatrix | b0d67e26940e59e51a7e2760b734c7de50490e1a | [
"MIT"
] | 3 | 2018-01-11T07:48:06.000Z | 2020-04-27T20:49:02.000Z | chap5_the_matrix/chap5.py | lastone9182/CodingtheMatrix | b0d67e26940e59e51a7e2760b734c7de50490e1a | [
"MIT"
] | null | null | null | chap5_the_matrix/chap5.py | lastone9182/CodingtheMatrix | b0d67e26940e59e51a7e2760b734c7de50490e1a | [
"MIT"
] | 1 | 2021-01-26T07:25:48.000Z | 2021-01-26T07:25:48.000Z | # [[0 for j in range(4)] for i in range(3)]
R = {'a', 'b'}
C = {'#','@','?'}
{ ((j+1)*10**i for j in range(4) for i in range(3) }
M = Mat(({'a', 'b'}, {'#','@','?'}), {('a', '#'):1, ('a', '@'):2, ('a', '?'):3, ('b', '#'):10, ('b', '@'):20, ('b', '?'):30})
| 28.777778 | 125 | 0.305019 | 45 | 259 | 1.755556 | 0.422222 | 0.35443 | 0.151899 | 0.278481 | 0.607595 | 0.607595 | 0.607595 | 0.607595 | 0.607595 | 0.607595 | 0 | 0.080569 | 0.185328 | 259 | 8 | 126 | 32.375 | 0.293839 | 0 | 0 | 0 | 0 | 0 | 0.102326 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 0 | 0 | 1 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 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 | 0 | 0 | 7 |
f6ae5b80a2e1f5e69ef871e05a3bf2e1702673e2 | 383,174 | py | Python | source/codegen/metadata/nidaqmx/functions.py | zhindes/grpc-device | 616aa913963098b12d276693895b7eb946f82df4 | [
"MIT"
] | null | null | null | source/codegen/metadata/nidaqmx/functions.py | zhindes/grpc-device | 616aa913963098b12d276693895b7eb946f82df4 | [
"MIT"
] | null | null | null | source/codegen/metadata/nidaqmx/functions.py | zhindes/grpc-device | 616aa913963098b12d276693895b7eb946f82df4 | [
"MIT"
] | null | null | null | functions = {
'AddCDAQSyncConnection': {
'parameters': [
{
'direction': 'in',
'name': 'portList',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'AddGlobalChansToTask': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channelNames',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'AddNetworkDevice': {
'parameters': [
{
'direction': 'in',
'name': 'ipAddress',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'attemptReservation',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'deviceNameOut',
'size': {
'mechanism': 'ivi-dance',
'value': 'deviceNameOutBufferSize'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'deviceNameOutBufferSize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'AreConfiguredCDAQSyncPortsDisconnected': {
'parameters': [
{
'direction': 'in',
'name': 'chassisDevicesPorts',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'disconnectedPortsExist',
'type': 'bool32'
}
],
'returns': 'int32'
},
'AutoConfigureCDAQSyncConnections': {
'parameters': [
{
'direction': 'in',
'name': 'chassisDevicesPorts',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
}
],
'returns': 'int32'
},
'CalculateReversePolyCoeff': {
'parameters': [
{
'direction': 'in',
'name': 'forwardCoeffs',
'size': {
'mechanism': 'len',
'value': 'numForwardCoeffsIn'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numForwardCoeffsIn',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'minValX',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxValX',
'type': 'float64'
},
{
'direction': 'in',
'name': 'numPointsToCompute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'reversePolyOrder',
'type': 'int32'
},
{
'direction': 'out',
'name': 'reverseCoeffs',
'size': {
'mechanism': 'custom-code',
'value': '(reversePolyOrder < 0) ? numForwardCoeffsIn : reversePolyOrder + 1'
},
'type': 'float64[]'
}
],
'returns': 'int32'
},
'CfgAnlgEdgeRefTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSource',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'Slope1',
'name': 'triggerSlope',
'type': 'int32'
},
{
'direction': 'in',
'name': 'triggerLevel',
'type': 'float64'
},
{
'direction': 'in',
'name': 'pretriggerSamples',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgAnlgEdgeStartTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSource',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'Slope1',
'name': 'triggerSlope',
'type': 'int32'
},
{
'direction': 'in',
'name': 'triggerLevel',
'type': 'float64'
}
],
'returns': 'int32'
},
'CfgAnlgMultiEdgeRefTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSources',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'triggerSlopeArray',
'size': {
'mechanism': 'len',
'value': 'arraySize'
},
'type': 'const int32[]'
},
{
'direction': 'in',
'name': 'triggerLevelArray',
'size': {
'mechanism': 'len',
'value': 'arraySize'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'pretriggerSamples',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'arraySize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgAnlgMultiEdgeStartTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSources',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'triggerSlopeArray',
'size': {
'mechanism': 'len',
'value': 'arraySize'
},
'type': 'const int32[]'
},
{
'direction': 'in',
'name': 'triggerLevelArray',
'size': {
'mechanism': 'len',
'value': 'arraySize'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'arraySize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgAnlgWindowRefTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSource',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'WindowTriggerCondition1',
'name': 'triggerWhen',
'type': 'int32'
},
{
'direction': 'in',
'name': 'windowTop',
'type': 'float64'
},
{
'direction': 'in',
'name': 'windowBottom',
'type': 'float64'
},
{
'direction': 'in',
'name': 'pretriggerSamples',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgAnlgWindowStartTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSource',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'WindowTriggerCondition1',
'name': 'triggerWhen',
'type': 'int32'
},
{
'direction': 'in',
'name': 'windowTop',
'type': 'float64'
},
{
'direction': 'in',
'name': 'windowBottom',
'type': 'float64'
}
],
'returns': 'int32'
},
'CfgBurstHandshakingTimingExportClock': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'AcquisitionType',
'name': 'sampleMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sampsPerChan',
'type': 'uInt64'
},
{
'direction': 'in',
'name': 'sampleClkRate',
'type': 'float64'
},
{
'direction': 'in',
'name': 'sampleClkOutpTerm',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'Polarity2',
'name': 'sampleClkPulsePolarity',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Level1',
'name': 'pauseWhen',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Polarity2',
'name': 'readyEventActiveLevel',
'type': 'int32'
}
],
'returns': 'int32'
},
'CfgBurstHandshakingTimingImportClock': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'AcquisitionType',
'name': 'sampleMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sampsPerChan',
'type': 'uInt64'
},
{
'direction': 'in',
'name': 'sampleClkRate',
'type': 'float64'
},
{
'direction': 'in',
'name': 'sampleClkSrc',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'sampleClkActiveEdge',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Level1',
'name': 'pauseWhen',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Polarity2',
'name': 'readyEventActiveLevel',
'type': 'int32'
}
],
'returns': 'int32'
},
'CfgChangeDetectionTiming': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'risingEdgeChan',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'fallingEdgeChan',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'AcquisitionType',
'name': 'sampleMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sampsPerChan',
'type': 'uInt64'
}
],
'returns': 'int32'
},
'CfgDigEdgeRefTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSource',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'triggerEdge',
'type': 'int32'
},
{
'direction': 'in',
'name': 'pretriggerSamples',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgDigEdgeStartTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSource',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'triggerEdge',
'type': 'int32'
}
],
'returns': 'int32'
},
'CfgDigPatternRefTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSource',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'triggerPattern',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'DigitalPatternCondition1',
'name': 'triggerWhen',
'type': 'int32'
},
{
'direction': 'in',
'name': 'pretriggerSamples',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgDigPatternStartTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'triggerSource',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'triggerPattern',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'DigitalPatternCondition1',
'name': 'triggerWhen',
'type': 'int32'
}
],
'returns': 'int32'
},
'CfgHandshakingTiming': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'AcquisitionType',
'name': 'sampleMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sampsPerChan',
'type': 'uInt64'
}
],
'returns': 'int32'
},
'CfgImplicitTiming': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'AcquisitionType',
'name': 'sampleMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sampsPerChan',
'type': 'uInt64'
}
],
'returns': 'int32'
},
'CfgInputBuffer': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgOutputBuffer': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgPipelinedSampClkTiming': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'source',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'rate',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'activeEdge',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'AcquisitionType',
'name': 'sampleMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sampsPerChan',
'type': 'uInt64'
}
],
'returns': 'int32'
},
'CfgSampClkTiming': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'source',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'rate',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'activeEdge',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'AcquisitionType',
'name': 'sampleMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sampsPerChan',
'type': 'uInt64'
}
],
'returns': 'int32'
},
'CfgTimeStartTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'when',
'type': 'CVIAbsoluteTime'
},
{
'direction': 'in',
'enum': 'Timescale2',
'name': 'timescale',
'type': 'int32'
}
],
'returns': 'int32'
},
'CfgWatchdogAOExpirStates': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channelNames',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'expirStateArray',
'size': {
'mechanism': 'len',
'value': 'arraySize'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'enum': 'WatchdogAOOutputType',
'name': 'outputTypeArray',
'size': {
'mechanism': 'len',
'value': 'arraySize'
},
'type': 'const int32[]'
},
{
'direction': 'in',
'name': 'arraySize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgWatchdogCOExpirStates': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channelNames',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'WatchdogCOExpirState',
'name': 'expirStateArray',
'size': {
'mechanism': 'len',
'value': 'arraySize'
},
'type': 'const int32[]'
},
{
'direction': 'in',
'name': 'arraySize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'CfgWatchdogDOExpirStates': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channelNames',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'DigitalLineState',
'name': 'expirStateArray',
'size': {
'mechanism': 'len',
'value': 'arraySize'
},
'type': 'const int32[]'
},
{
'direction': 'in',
'name': 'arraySize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'ClearTEDS': {
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'ClearTask': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
}
],
'returns': 'int32'
},
'ConfigureLogging': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'filePath',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'LoggingMode',
'name': 'loggingMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'groupName',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'LoggingOperation',
'name': 'operation',
'type': 'int32'
}
],
'returns': 'int32'
},
'ConfigureTEDS': {
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'filePath',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'ConnectTerms': {
'parameters': [
{
'direction': 'in',
'name': 'sourceTerminal',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'destinationTerminal',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InvertPolarity',
'name': 'signalModifiers',
'type': 'int32'
}
],
'returns': 'int32'
},
'ControlWatchdogTask': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'WatchdogControlAction',
'name': 'action',
'type': 'int32'
}
],
'returns': 'int32'
},
'CreateAIAccel4WireDCVoltageChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'AccelUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sensitivity',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'AccelSensitivityUnits1',
'name': 'sensitivityUnits',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'useExcitForScaling',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIAccelChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'AccelUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sensitivity',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'AccelSensitivityUnits1',
'name': 'sensitivityUnits',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIAccelChargeChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'AccelUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sensitivity',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'AccelChargeSensitivityUnits',
'name': 'sensitivityUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIBridgeChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'BridgeUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIChargeChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ChargeUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAICurrentChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'CurrentUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'CurrentShuntResistorLocationWithDefault',
'name': 'shuntResistorLoc',
'type': 'int32'
},
{
'direction': 'in',
'name': 'extShuntResistorVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAICurrentRMSChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'CurrentUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'CurrentShuntResistorLocationWithDefault',
'name': 'shuntResistorLoc',
'type': 'int32'
},
{
'direction': 'in',
'name': 'extShuntResistorVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIForceBridgePolynomialChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ForceUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'forwardCoeffs',
'size': {
'mechanism': 'len',
'value': 'numForwardCoeffs'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numForwardCoeffs',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'reverseCoeffs',
'size': {
'mechanism': 'len',
'value': 'numReverseCoeffs'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numReverseCoeffs',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'BridgeElectricalUnits',
'name': 'electricalUnits',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgePhysicalUnits',
'name': 'physicalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIForceBridgeTableChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ForceUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'electricalVals',
'size': {
'mechanism': 'len',
'value': 'numElectricalVals'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numElectricalVals',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'BridgeElectricalUnits',
'name': 'electricalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'physicalVals',
'size': {
'mechanism': 'len',
'value': 'numPhysicalVals'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numPhysicalVals',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'BridgePhysicalUnits',
'name': 'physicalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIForceBridgeTwoPointLinChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ForceUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'firstElectricalVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'secondElectricalVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'BridgeElectricalUnits',
'name': 'electricalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'firstPhysicalVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'secondPhysicalVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'BridgePhysicalUnits',
'name': 'physicalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIForceIEPEChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ForceIEPEUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sensitivity',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ForceIEPESensorSensitivityUnits',
'name': 'sensitivityUnits',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIFreqVoltageChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'FrequencyUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'thresholdLevel',
'type': 'float64'
},
{
'direction': 'in',
'name': 'hysteresis',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIMicrophoneChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'SoundPressureUnits1',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'micSensitivity',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxSndPressLevel',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIPosEddyCurrProxProbeChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'LengthUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sensitivity',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'EddyCurrentProxProbeSensitivityUnits',
'name': 'sensitivityUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIPosLVDTChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'LengthUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sensitivity',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'LVDTSensitivityUnits1',
'name': 'sensitivityUnits',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'voltageExcitFreq',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ACExcitWireMode',
'name': 'acExcitWireMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIPosRVDTChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'AngleUnits1',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sensitivity',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'RVDTSensitivityUnits1',
'name': 'sensitivityUnits',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'voltageExcitFreq',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ACExcitWireMode',
'name': 'acExcitWireMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIPressureBridgePolynomialChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'PressureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'forwardCoeffs',
'size': {
'mechanism': 'len',
'value': 'numForwardCoeffs'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numForwardCoeffs',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'reverseCoeffs',
'size': {
'mechanism': 'len',
'value': 'numReverseCoeffs'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numReverseCoeffs',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'BridgeElectricalUnits',
'name': 'electricalUnits',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgePhysicalUnits',
'name': 'physicalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIPressureBridgeTableChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'PressureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'electricalVals',
'size': {
'mechanism': 'len',
'value': 'numElectricalVals'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numElectricalVals',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'BridgeElectricalUnits',
'name': 'electricalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'physicalVals',
'size': {
'mechanism': 'len',
'value': 'numPhysicalVals'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numPhysicalVals',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'BridgePhysicalUnits',
'name': 'physicalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIPressureBridgeTwoPointLinChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'PressureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'firstElectricalVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'secondElectricalVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'BridgeElectricalUnits',
'name': 'electricalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'firstPhysicalVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'secondPhysicalVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'BridgePhysicalUnits',
'name': 'physicalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIRTDChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TemperatureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'RTDType1',
'name': 'rtdType',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ResistanceConfiguration',
'name': 'resistanceConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'r0',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateAIResistanceChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ResistanceUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ResistanceConfiguration',
'name': 'resistanceConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIRosetteStrainGageChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'StrainGageRosetteType',
'name': 'rosetteType',
'type': 'int32'
},
{
'direction': 'in',
'name': 'gageOrientation',
'type': 'float64'
},
{
'direction': 'in',
'name': 'rosetteMeasTypes',
'size': {
'mechanism': 'len',
'value': 'numRosetteMeasTypes'
},
'type': 'const int32[]'
},
{
'direction': 'in',
'name': 'numRosetteMeasTypes',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'StrainGageBridgeType1',
'name': 'strainConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'gageFactor',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalGageResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'poissonRatio',
'type': 'float64'
},
{
'direction': 'in',
'name': 'leadWireResistance',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateAIStrainGageChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'StrainUnits1',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'StrainGageBridgeType1',
'name': 'strainConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'gageFactor',
'type': 'float64'
},
{
'direction': 'in',
'name': 'initialBridgeVoltage',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalGageResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'poissonRatio',
'type': 'float64'
},
{
'direction': 'in',
'name': 'leadWireResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAITempBuiltInSensorChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'TemperatureUnits',
'name': 'units',
'type': 'int32'
}
],
'returns': 'int32'
},
'CreateAIThrmcplChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TemperatureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ThermocoupleType1',
'name': 'thermocoupleType',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'CJCSource1',
'name': 'cjcSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'cjcVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'cjcChannel',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIThrmstrChanIex': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TemperatureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ResistanceConfiguration',
'name': 'resistanceConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'a',
'type': 'float64'
},
{
'direction': 'in',
'name': 'b',
'type': 'float64'
},
{
'direction': 'in',
'name': 'c',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateAIThrmstrChanVex': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TemperatureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ResistanceConfiguration',
'name': 'resistanceConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'a',
'type': 'float64'
},
{
'direction': 'in',
'name': 'b',
'type': 'float64'
},
{
'direction': 'in',
'name': 'c',
'type': 'float64'
},
{
'direction': 'in',
'name': 'r1',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateAITorqueBridgePolynomialChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TorqueUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'forwardCoeffs',
'size': {
'mechanism': 'len',
'value': 'numForwardCoeffs'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numForwardCoeffs',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'reverseCoeffs',
'size': {
'mechanism': 'len',
'value': 'numReverseCoeffs'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numReverseCoeffs',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'BridgeElectricalUnits',
'name': 'electricalUnits',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgePhysicalUnits',
'name': 'physicalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAITorqueBridgeTableChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TorqueUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'electricalVals',
'size': {
'mechanism': 'len',
'value': 'numElectricalVals'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numElectricalVals',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'BridgeElectricalUnits',
'name': 'electricalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'physicalVals',
'size': {
'mechanism': 'len',
'value': 'numPhysicalVals'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numPhysicalVals',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'BridgePhysicalUnits',
'name': 'physicalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAITorqueBridgeTwoPointLinChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TorqueUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'nominalBridgeResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'firstElectricalVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'secondElectricalVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'BridgeElectricalUnits',
'name': 'electricalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'firstPhysicalVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'secondPhysicalVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'BridgePhysicalUnits',
'name': 'physicalUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIVelocityIEPEChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'VelocityUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'sensitivity',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'VelocityIEPESensorSensitivityUnits',
'name': 'sensitivityUnits',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIVoltageChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'VoltageUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIVoltageChanWithExcit': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'VoltageUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'BridgeConfiguration1',
'name': 'bridgeConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'useExcitForScaling',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAIVoltageRMSChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'VoltageUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAOCurrentChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'CurrentUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateAOFuncGenChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'FuncGenType',
'name': 'type',
'type': 'int32'
},
{
'direction': 'in',
'name': 'freq',
'type': 'float64'
},
{
'direction': 'in',
'name': 'amplitude',
'type': 'float64'
},
{
'direction': 'in',
'name': 'offset',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateAOVoltageChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'VoltageUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCIAngEncoderChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'EncoderType2',
'name': 'decodingType',
'type': 'int32'
},
{
'direction': 'in',
'name': 'zidxEnable',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'zidxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'EncoderZIndexPhase1',
'name': 'zidxPhase',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'AngleUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'pulsesPerRev',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'initialAngle',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCIAngVelocityChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'EncoderType2',
'name': 'decodingType',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'AngularVelocityUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'pulsesPerRev',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCICountEdgesChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'edge',
'type': 'int32'
},
{
'direction': 'in',
'name': 'initialCount',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'CountDirection1',
'name': 'countDirection',
'type': 'int32'
}
],
'returns': 'int32'
},
'CreateCIDutyCycleChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minFreq',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxFreq',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'edge',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCIFreqChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'FrequencyUnits3',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'edge',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'CounterFrequencyMethod',
'name': 'measMethod',
'type': 'int32'
},
{
'direction': 'in',
'name': 'measTime',
'type': 'float64'
},
{
'direction': 'in',
'name': 'divisor',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCIGPSTimestampChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'TimeUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'GpsSignalType1',
'name': 'syncMethod',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCILinEncoderChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'EncoderType2',
'name': 'decodingType',
'type': 'int32'
},
{
'direction': 'in',
'name': 'zidxEnable',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'zidxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'EncoderZIndexPhase1',
'name': 'zidxPhase',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'LengthUnits3',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'distPerPulse',
'type': 'float64'
},
{
'direction': 'in',
'name': 'initialPos',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCILinVelocityChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'EncoderType2',
'name': 'decodingType',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'VelocityUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'distPerPulse',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCIPeriodChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TimeUnits3',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'edge',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'CounterFrequencyMethod',
'name': 'measMethod',
'type': 'int32'
},
{
'direction': 'in',
'name': 'measTime',
'type': 'float64'
},
{
'direction': 'in',
'name': 'divisor',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCIPulseChanFreq': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'FrequencyUnits2',
'name': 'units',
'type': 'int32'
}
],
'returns': 'int32'
},
'CreateCIPulseChanTicks': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'sourceTerminal',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateCIPulseChanTime': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'DigitalWidthUnits3',
'name': 'units',
'type': 'int32'
}
],
'returns': 'int32'
},
'CreateCIPulseWidthChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TimeUnits3',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'startingEdge',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCISemiPeriodChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TimeUnits3',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCITwoEdgeSepChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TimeUnits3',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'firstEdge',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Edge1',
'name': 'secondEdge',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateCOPulseChanFreq': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'FrequencyUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Level1',
'name': 'idleState',
'type': 'int32'
},
{
'direction': 'in',
'name': 'initialDelay',
'type': 'float64'
},
{
'direction': 'in',
'name': 'freq',
'type': 'float64'
},
{
'direction': 'in',
'name': 'dutyCycle',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateCOPulseChanTicks': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'sourceTerminal',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'Level1',
'name': 'idleState',
'type': 'int32'
},
{
'direction': 'in',
'name': 'initialDelay',
'type': 'int32'
},
{
'direction': 'in',
'name': 'lowTicks',
'type': 'int32'
},
{
'direction': 'in',
'name': 'highTicks',
'type': 'int32'
}
],
'returns': 'int32'
},
'CreateCOPulseChanTime': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'counter',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'DigitalWidthUnits3',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'Level1',
'name': 'idleState',
'type': 'int32'
},
{
'direction': 'in',
'name': 'initialDelay',
'type': 'float64'
},
{
'direction': 'in',
'name': 'lowTime',
'type': 'float64'
},
{
'direction': 'in',
'name': 'highTime',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateDIChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToLines',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'LineGrouping',
'name': 'lineGrouping',
'type': 'int32'
}
],
'returns': 'int32'
},
'CreateDOChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToLines',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'LineGrouping',
'name': 'lineGrouping',
'type': 'int32'
}
],
'returns': 'int32'
},
'CreateLinScale': {
'parameters': [
{
'direction': 'in',
'name': 'name',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'slope',
'type': 'float64'
},
{
'direction': 'in',
'name': 'yIntercept',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'UnitsPreScaled',
'name': 'preScaledUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'scaledUnits',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateMapScale': {
'parameters': [
{
'direction': 'in',
'name': 'name',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'prescaledMin',
'type': 'float64'
},
{
'direction': 'in',
'name': 'prescaledMax',
'type': 'float64'
},
{
'direction': 'in',
'name': 'scaledMin',
'type': 'float64'
},
{
'direction': 'in',
'name': 'scaledMax',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'UnitsPreScaled',
'name': 'preScaledUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'scaledUnits',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreatePolynomialScale': {
'parameters': [
{
'direction': 'in',
'name': 'name',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'forwardCoeffs',
'size': {
'mechanism': 'len',
'value': 'numForwardCoeffsIn'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numForwardCoeffsIn',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'reverseCoeffs',
'size': {
'mechanism': 'len',
'value': 'numReverseCoeffsIn'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numReverseCoeffsIn',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'UnitsPreScaled',
'name': 'preScaledUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'scaledUnits',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIAccelChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'AccelUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIBridgeChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TEDSUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAICurrentChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TEDSUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'CurrentShuntResistorLocationWithDefault',
'name': 'shuntResistorLoc',
'type': 'int32'
},
{
'direction': 'in',
'name': 'extShuntResistorVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIForceBridgeChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ForceUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIForceIEPEChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ForceIEPEUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIMicrophoneChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'SoundPressureUnits1',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'maxSndPressLevel',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIPosLVDTChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'LengthUnits2',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'voltageExcitFreq',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ACExcitWireMode',
'name': 'acExcitWireMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIPosRVDTChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'AngleUnits1',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'voltageExcitFreq',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'ACExcitWireMode',
'name': 'acExcitWireMode',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIPressureBridgeChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'PressureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIRTDChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TemperatureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ResistanceConfiguration',
'name': 'resistanceConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateTEDSAIResistanceChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TEDSUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ResistanceConfiguration',
'name': 'resistanceConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIStrainGageChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'StrainUnits1',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'initialBridgeVoltage',
'type': 'float64'
},
{
'direction': 'in',
'name': 'leadWireResistance',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIThrmcplChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TemperatureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'CJCSource1',
'name': 'cjcSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'cjcVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'cjcChannel',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIThrmstrChanIex': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TemperatureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ResistanceConfiguration',
'name': 'resistanceConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'currentExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'currentExcitVal',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateTEDSAIThrmstrChanVex': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TemperatureUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ResistanceConfiguration',
'name': 'resistanceConfig',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'r1',
'type': 'float64'
}
],
'returns': 'int32'
},
'CreateTEDSAITorqueBridgeChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TorqueUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIVoltageChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TEDSUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTEDSAIVoltageChanWithExcit': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'nameToAssignToChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'InputTermCfgWithDefault',
'name': 'terminalConfig',
'type': 'int32'
},
{
'direction': 'in',
'name': 'minVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'maxVal',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'TEDSUnits',
'name': 'units',
'type': 'int32'
},
{
'direction': 'in',
'enum': 'ExcitationSource',
'name': 'voltageExcitSource',
'type': 'int32'
},
{
'direction': 'in',
'name': 'voltageExcitVal',
'type': 'float64'
},
{
'direction': 'in',
'name': 'customScaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTableScale': {
'parameters': [
{
'direction': 'in',
'name': 'name',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'prescaledVals',
'size': {
'mechanism': 'len',
'value': 'numPrescaledValsIn'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numPrescaledValsIn',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'scaledVals',
'size': {
'mechanism': 'len',
'value': 'numScaledValsIn'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'numScaledValsIn',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'UnitsPreScaled',
'name': 'preScaledUnits',
'type': 'int32'
},
{
'direction': 'in',
'name': 'scaledUnits',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'CreateTask': {
'init_method': True,
'parameters': [
{
'direction': 'in',
'is_session_name': True,
'name': 'sessionName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'task',
'type': 'TaskHandle'
}
],
'returns': 'int32'
},
'CreateWatchdogTimerTask': {
'init_method': True,
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'is_session_name': True,
'name': 'sessionName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'include_in_proto': False,
'name': 'lines',
'repeating_argument': True,
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'DigitalLineState',
'include_in_proto': False,
'name': 'expState',
'repeating_argument': True,
'type': 'int32'
},
{
'direction': 'in',
'grpc_type': 'repeated WatchdogExpChannelsAndState',
'is_compound_type': True,
'max_length': 96,
'name': 'expStates',
'repeated_var_args': True
}
],
'returns': 'int32'
},
'CreateWatchdogTimerTaskEx': {
'init_method': True,
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'is_session_name': True,
'name': 'sessionName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
}
],
'returns': 'int32'
},
'DeleteNetworkDevice': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'DeleteSavedGlobalChan': {
'parameters': [
{
'direction': 'in',
'name': 'channelName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'DeleteSavedScale': {
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'DeleteSavedTask': {
'parameters': [
{
'direction': 'in',
'name': 'taskName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'DeviceSupportsCal': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'calSupported',
'type': 'bool32'
}
],
'returns': 'int32'
},
'DisableRefTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
}
],
'returns': 'int32'
},
'DisableStartTrig': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
}
],
'returns': 'int32'
},
'DisconnectTerms': {
'parameters': [
{
'direction': 'in',
'name': 'sourceTerminal',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'destinationTerminal',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'ExportSignal': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'Signal',
'name': 'signalID',
'type': 'int32'
},
{
'direction': 'in',
'name': 'outputTerminal',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'GetAIChanCalCalDate': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channelName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'year',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'month',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'day',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'hour',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'minute',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetAIChanCalExpDate': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channelName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'year',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'month',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'day',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'hour',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'minute',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetAnalogPowerUpStates': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'include_in_proto': False,
'name': 'channelName',
'repeating_argument': True,
'type': 'const char[]'
},
{
'direction': 'out',
'include_in_proto': False,
'name': 'state',
'repeating_argument': True,
'type': 'float64'
},
{
'direction': 'in',
'enum': 'PowerUpChannelType',
'include_in_proto': False,
'name': 'channelType',
'repeating_argument': True,
'type': 'int32'
},
{
'direction': 'in',
'grpc_type': 'repeated AnalogPowerUpChannelAndType',
'is_compound_type': True,
'max_length': 96,
'name': 'channels',
'repeated_var_args': True
},
{
'direction': 'out',
'grpc_type': 'repeated double',
'max_length': 96,
'name': 'powerUpStates',
'repeated_var_args': True
}
],
'returns': 'int32'
},
'GetArmStartTrigTimestampVal': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'GetArmStartTrigTrigWhen': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'GetAutoConfiguredCDAQSyncConnections': {
'parameters': [
{
'direction': 'out',
'name': 'portList',
'size': {
'mechanism': 'ivi-dance',
'value': 'portListSize'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'portListSize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetBufferAttributeUInt32': {
'cname': 'DAQmxGetBufferAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'BufferAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetCalInfoAttributeBool': {
'cname': 'DAQmxGetCalInfoAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'CalibrationInfoAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetCalInfoAttributeDouble': {
'cname': 'DAQmxGetCalInfoAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'CalibrationInfoAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetCalInfoAttributeString': {
'cname': 'DAQmxGetCalInfoAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'CalibrationInfoAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetCalInfoAttributeUInt32': {
'cname': 'DAQmxGetCalInfoAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'CalibrationInfoAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetChanAttributeBool': {
'cname': 'DAQmxGetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetChanAttributeDouble': {
'cname': 'DAQmxGetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetChanAttributeDoubleArray': {
'cname': 'DAQmxGetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetChanAttributeInt32': {
'cname': 'DAQmxGetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetChanAttributeString': {
'cname': 'DAQmxGetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetChanAttributeUInt32': {
'cname': 'DAQmxGetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetDeviceAttributeBool': {
'cname': 'DAQmxGetDeviceAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'DeviceAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetDeviceAttributeDouble': {
'cname': 'DAQmxGetDeviceAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'DeviceAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetDeviceAttributeDoubleArray': {
'cname': 'DAQmxGetDeviceAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'DeviceAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetDeviceAttributeInt32': {
'cname': 'DAQmxGetDeviceAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'DeviceAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetDeviceAttributeInt32Array': {
'cname': 'DAQmxGetDeviceAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'DeviceAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'int32[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetDeviceAttributeString': {
'cname': 'DAQmxGetDeviceAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'DeviceAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetDeviceAttributeUInt32': {
'cname': 'DAQmxGetDeviceAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'DeviceAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetDeviceAttributeUInt32Array': {
'cname': 'DAQmxGetDeviceAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'DeviceAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'uInt32[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetDigitalLogicFamilyPowerUpState': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'logicFamily',
'type': 'int32'
}
],
'returns': 'int32'
},
'GetDigitalPowerUpStates': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'include_in_proto': False,
'name': 'channelName',
'repeating_argument': True,
'type': 'const char[]'
},
{
'direction': 'out',
'enum': 'PowerUpStates',
'include_in_proto': False,
'name': 'state',
'repeating_argument': True,
'type': 'int32'
},
{
'direction': 'in',
'grpc_type': 'repeated string',
'max_length': 96,
'name': 'channelName',
'repeated_var_args': True
},
{
'direction': 'out',
'grpc_type': 'repeated PowerUpStates',
'max_length': 96,
'name': 'powerUpStates',
'repeated_var_args': True
}
],
'returns': 'int32'
},
'GetDigitalPullUpPullDownStates': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'include_in_proto': False,
'name': 'channelName',
'repeating_argument': True,
'type': 'const char[]'
},
{
'direction': 'out',
'enum': 'ResistorState',
'include_in_proto': False,
'name': 'state',
'repeating_argument': True,
'type': 'int32'
},
{
'direction': 'in',
'grpc_type': 'repeated string',
'max_length': 96,
'name': 'channelName',
'repeated_var_args': True
},
{
'direction': 'out',
'grpc_type': 'repeated ResistorState',
'max_length': 96,
'name': 'pullUpPullDownStates',
'repeated_var_args': True
}
],
'returns': 'int32'
},
'GetDisconnectedCDAQSyncPorts': {
'parameters': [
{
'direction': 'out',
'name': 'portList',
'size': {
'mechanism': 'ivi-dance',
'value': 'portListSize'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'portListSize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetErrorString': {
'parameters': [
{
'direction': 'in',
'name': 'errorCode',
'type': 'int32'
},
{
'direction': 'out',
'name': 'errorString',
'size': {
'mechanism': 'ivi-dance',
'value': 'bufferSize'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'bufferSize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetExportedSignalAttributeBool': {
'cname': 'DAQmxGetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetExportedSignalAttributeDouble': {
'cname': 'DAQmxGetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetExportedSignalAttributeInt32': {
'cname': 'DAQmxGetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetExportedSignalAttributeString': {
'cname': 'DAQmxGetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetExportedSignalAttributeUInt32': {
'cname': 'DAQmxGetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetExtendedErrorInfo': {
'parameters': [
{
'direction': 'out',
'name': 'errorString',
'size': {
'mechanism': 'ivi-dance',
'value': 'bufferSize'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'bufferSize',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetFirstSampClkWhen': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'GetFirstSampTimestampVal': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'GetNthTaskChannel': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'index',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'buffer',
'size': {
'mechanism': 'ivi-dance',
'value': 'bufferSize'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'bufferSize',
'type': 'int32'
}
],
'returns': 'int32'
},
'GetNthTaskDevice': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'index',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'buffer',
'size': {
'mechanism': 'ivi-dance',
'value': 'bufferSize'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'bufferSize',
'type': 'int32'
}
],
'returns': 'int32'
},
'GetNthTaskReadChannel': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'index',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'buffer',
'size': {
'mechanism': 'ivi-dance',
'value': 'bufferSize'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'bufferSize',
'type': 'int32'
}
],
'returns': 'int32'
},
'GetPersistedChanAttributeBool': {
'cname': 'DAQmxGetPersistedChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PersistedChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPersistedChanAttributeString': {
'cname': 'DAQmxGetPersistedChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PersistedChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPersistedScaleAttributeBool': {
'cname': 'DAQmxGetPersistedScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PersistedScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPersistedScaleAttributeString': {
'cname': 'DAQmxGetPersistedScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PersistedScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPersistedTaskAttributeBool': {
'cname': 'DAQmxGetPersistedTaskAttribute',
'parameters': [
{
'direction': 'in',
'name': 'taskName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PersistedTaskAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPersistedTaskAttributeString': {
'cname': 'DAQmxGetPersistedTaskAttribute',
'parameters': [
{
'direction': 'in',
'name': 'taskName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PersistedTaskAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPhysicalChanAttributeBool': {
'cname': 'DAQmxGetPhysicalChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PhysicalChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPhysicalChanAttributeBytes': {
'cname': 'DAQmxGetPhysicalChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PhysicalChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'uInt8[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPhysicalChanAttributeDouble': {
'cname': 'DAQmxGetPhysicalChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PhysicalChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPhysicalChanAttributeDoubleArray': {
'cname': 'DAQmxGetPhysicalChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PhysicalChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPhysicalChanAttributeInt32': {
'cname': 'DAQmxGetPhysicalChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PhysicalChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPhysicalChanAttributeInt32Array': {
'cname': 'DAQmxGetPhysicalChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PhysicalChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'int32[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPhysicalChanAttributeString': {
'cname': 'DAQmxGetPhysicalChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PhysicalChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPhysicalChanAttributeUInt32': {
'cname': 'DAQmxGetPhysicalChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PhysicalChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetPhysicalChanAttributeUInt32Array': {
'cname': 'DAQmxGetPhysicalChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'PhysicalChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'uInt32[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetReadAttributeBool': {
'cname': 'DAQmxGetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetReadAttributeDouble': {
'cname': 'DAQmxGetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetReadAttributeInt32': {
'cname': 'DAQmxGetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetReadAttributeString': {
'cname': 'DAQmxGetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetReadAttributeUInt32': {
'cname': 'DAQmxGetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetReadAttributeUInt64': {
'cname': 'DAQmxGetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetRealTimeAttributeBool': {
'cname': 'DAQmxGetRealTimeAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'RealTimeAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetRealTimeAttributeInt32': {
'cname': 'DAQmxGetRealTimeAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'RealTimeAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetRealTimeAttributeUInt32': {
'cname': 'DAQmxGetRealTimeAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'RealTimeAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetRefTrigTimestampVal': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'GetScaleAttributeDouble': {
'cname': 'DAQmxGetScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetScaleAttributeDoubleArray': {
'cname': 'DAQmxGetScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetScaleAttributeInt32': {
'cname': 'DAQmxGetScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetScaleAttributeString': {
'cname': 'DAQmxGetScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetSelfCalLastDateAndTime': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'year',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'month',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'day',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'hour',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'minute',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetStartTrigTimestampVal': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'GetStartTrigTrigWhen': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'GetSyncPulseTimeWhen': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'GetSystemInfoAttributeString': {
'cname': 'DAQmxGetSystemInfoAttribute',
'parameters': [
{
'direction': 'in',
'grpc_type': 'SystemAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetSystemInfoAttributeUInt32': {
'cname': 'DAQmxGetSystemInfoAttribute',
'parameters': [
{
'direction': 'in',
'grpc_type': 'SystemAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTaskAttributeBool': {
'cname': 'DAQmxGetTaskAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TaskAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTaskAttributeString': {
'cname': 'DAQmxGetTaskAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TaskAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTaskAttributeUInt32': {
'cname': 'DAQmxGetTaskAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TaskAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeBool': {
'cname': 'DAQmxGetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeDouble': {
'cname': 'DAQmxGetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeExBool': {
'cname': 'DAQmxGetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeExDouble': {
'cname': 'DAQmxGetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeExInt32': {
'cname': 'DAQmxGetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeExString': {
'cname': 'DAQmxGetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeExTimestamp': {
'cname': 'DAQmxGetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'CVIAbsoluteTime'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeExUInt32': {
'cname': 'DAQmxGetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeExUInt64': {
'cname': 'DAQmxGetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeInt32': {
'cname': 'DAQmxGetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeString': {
'cname': 'DAQmxGetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeTimestamp': {
'cname': 'DAQmxGetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'CVIAbsoluteTime'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeUInt32': {
'cname': 'DAQmxGetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTimingAttributeUInt64': {
'cname': 'DAQmxGetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTrigAttributeBool': {
'cname': 'DAQmxGetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTrigAttributeDouble': {
'cname': 'DAQmxGetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTrigAttributeDoubleArray': {
'cname': 'DAQmxGetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTrigAttributeInt32': {
'cname': 'DAQmxGetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTrigAttributeInt32Array': {
'cname': 'DAQmxGetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'int32[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTrigAttributeString': {
'cname': 'DAQmxGetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTrigAttributeTimestamp': {
'cname': 'DAQmxGetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'CVIAbsoluteTime'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetTrigAttributeUInt32': {
'cname': 'DAQmxGetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWatchdogAttributeBool': {
'cname': 'DAQmxGetWatchdogAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'WatchdogAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWatchdogAttributeDouble': {
'cname': 'DAQmxGetWatchdogAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'WatchdogAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWatchdogAttributeInt32': {
'cname': 'DAQmxGetWatchdogAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'WatchdogAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWatchdogAttributeString': {
'cname': 'DAQmxGetWatchdogAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'WatchdogAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWriteAttributeBool': {
'cname': 'DAQmxGetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWriteAttributeDouble': {
'cname': 'DAQmxGetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWriteAttributeInt32': {
'cname': 'DAQmxGetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWriteAttributeString': {
'cname': 'DAQmxGetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'size': {
'mechanism': 'ivi-dance',
'value': 'size'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWriteAttributeUInt32': {
'cname': 'DAQmxGetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'GetWriteAttributeUInt64': {
'cname': 'DAQmxGetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'IsTaskDone': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'isTaskDone',
'type': 'bool32'
}
],
'returns': 'int32'
},
'LoadTask': {
'init_method': True,
'parameters': [
{
'direction': 'in',
'is_session_name': True,
'name': 'sessionName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'task',
'type': 'TaskHandle'
}
],
'returns': 'int32'
},
'ReadAnalogF64': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadAnalogScalarF64': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadBinaryI16': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'coerced': True,
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'int16[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadBinaryI32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'int32[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadBinaryU16': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'coerced': True,
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'uInt16[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadBinaryU32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'uInt32[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCounterF64': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCounterF64Ex': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCounterScalarF64': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCounterScalarU32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCounterU32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'uInt32[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCounterU32Ex': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'uInt32[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCtrFreq': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'interleaved',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArrayFrequency',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'float64[]'
},
{
'direction': 'out',
'name': 'readArrayDutyCycle',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCtrFreqScalar': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'frequency',
'type': 'float64'
},
{
'direction': 'out',
'name': 'dutyCycle',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCtrTicks': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'interleaved',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArrayHighTicks',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'uInt32[]'
},
{
'direction': 'out',
'name': 'readArrayLowTicks',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'uInt32[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCtrTicksScalar': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'highTicks',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'lowTicks',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCtrTime': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'interleaved',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArrayHighTime',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'float64[]'
},
{
'direction': 'out',
'name': 'readArrayLowTime',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'float64[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadCtrTimeScalar': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'highTime',
'type': 'float64'
},
{
'direction': 'out',
'name': 'lowTime',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadDigitalLines': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInBytes'
},
'type': 'uInt8[]'
},
{
'direction': 'in',
'name': 'arraySizeInBytes',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'out',
'name': 'numBytesPerSamp',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadDigitalScalarU32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadDigitalU16': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'coerced': True,
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'uInt16[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadDigitalU32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'uInt32[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadDigitalU8': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'fillMode',
'type': 'int32'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInSamps'
},
'type': 'uInt8[]'
},
{
'direction': 'in',
'name': 'arraySizeInSamps',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsPerChanRead',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'ReadRaw': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'readArray',
'size': {
'mechanism': 'passed-in',
'value': 'arraySizeInBytes'
},
'type': 'uInt8[]'
},
{
'direction': 'in',
'name': 'arraySizeInBytes',
'type': 'uInt32'
},
{
'direction': 'out',
'name': 'sampsRead',
'type': 'int32'
},
{
'direction': 'out',
'name': 'numBytesPerSamp',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'RegisterDoneEvent': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'options',
'type': 'uInt32'
},
{
'callback_params': [
{
'direction': 'out',
'include_in_proto': False,
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'status',
'type': 'int32'
}
],
'direction': 'in',
'include_in_proto': False,
'name': 'callbackFunction',
'type': 'DAQmxDoneEventCallbackPtr'
},
{
'callback_token': True,
'direction': 'in',
'include_in_proto': False,
'name': 'callbackData',
'pointer': True,
'type': 'void'
}
],
'returns': 'int32',
'stream_response': True
},
'RegisterEveryNSamplesEvent': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'EveryNSamplesEventType',
'name': 'everyNSamplesEventType',
'type': 'int32'
},
{
'direction': 'in',
'name': 'nSamples',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'options',
'type': 'uInt32'
},
{
'callback_params': [
{
'direction': 'out',
'include_in_proto': False,
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'enum': 'EveryNSamplesEventType',
'name': 'everyNSamplesEventType',
'type': 'int32'
},
{
'direction': 'out',
'name': 'nSamples',
'type': 'uInt32'
}
],
'direction': 'in',
'include_in_proto': False,
'name': 'callbackFunction',
'type': 'DAQmxEveryNSamplesEventCallbackPtr'
},
{
'callback_token': True,
'direction': 'in',
'include_in_proto': False,
'name': 'callbackData',
'pointer': True,
'type': 'void'
}
],
'returns': 'int32',
'stream_response': True
},
'RegisterSignalEvent': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'Signal2',
'name': 'signalID',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'options',
'type': 'uInt32'
},
{
'callback_params': [
{
'direction': 'out',
'include_in_proto': False,
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'out',
'name': 'signalID',
'type': 'int32'
}
],
'direction': 'in',
'include_in_proto': False,
'name': 'callbackFunction',
'type': 'DAQmxSignalEventCallbackPtr'
},
{
'callback_token': True,
'direction': 'in',
'include_in_proto': False,
'name': 'callbackData',
'pointer': True,
'type': 'void'
}
],
'returns': 'int32',
'stream_response': True
},
'RemoveCDAQSyncConnection': {
'parameters': [
{
'direction': 'in',
'name': 'portList',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'ReserveNetworkDevice': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'overrideReservation',
'type': 'bool32'
}
],
'returns': 'int32'
},
'ResetBufferAttribute': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'BufferAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'ResetChanAttribute': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'ResetDevice': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'ResetExportedSignalAttribute': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'ResetReadAttribute': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'ResetRealTimeAttribute': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'RealTimeAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'ResetTimingAttribute': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'ResetTimingAttributeEx': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'ResetTrigAttribute': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'ResetWatchdogAttribute': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'WatchdogAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'ResetWriteAttribute': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
}
],
'returns': 'int32'
},
'SaveGlobalChan': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channelName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'saveAs',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'author',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'SaveOptions',
'name': 'options',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SaveScale': {
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'saveAs',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'author',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'SaveOptions',
'name': 'options',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SaveTask': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'saveAs',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'author',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'SaveOptions',
'name': 'options',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SelfCal': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'SelfTestDevice': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'SetAIChanCalCalDate': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channelName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'year',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'month',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'day',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'hour',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'minute',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetAIChanCalExpDate': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channelName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'year',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'month',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'day',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'hour',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'minute',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetAnalogPowerUpStates': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'include_in_proto': False,
'name': 'channelNames',
'repeating_argument': True,
'type': 'const char[]'
},
{
'direction': 'in',
'include_in_proto': False,
'name': 'state',
'repeating_argument': True,
'type': 'float64'
},
{
'direction': 'in',
'enum': 'PowerUpChannelType',
'include_in_proto': False,
'name': 'channelType',
'repeating_argument': True,
'type': 'int32'
},
{
'direction': 'in',
'grpc_type': 'repeated AnalogPowerUpChannelsAndState',
'is_compound_type': True,
'max_length': 96,
'name': 'powerUpStates',
'repeated_var_args': True
}
],
'returns': 'int32'
},
'SetArmStartTrigTrigWhen': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'SetBufferAttributeUInt32': {
'cname': 'DAQmxSetBufferAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'BufferAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetCalInfoAttributeBool': {
'cname': 'DAQmxSetCalInfoAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'CalibrationInfoAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetCalInfoAttributeDouble': {
'cname': 'DAQmxSetCalInfoAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'CalibrationInfoAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetCalInfoAttributeString': {
'cname': 'DAQmxSetCalInfoAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'CalibrationInfoAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetCalInfoAttributeUInt32': {
'cname': 'DAQmxSetCalInfoAttribute',
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'CalibrationInfoAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetChanAttributeBool': {
'cname': 'DAQmxSetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetChanAttributeDouble': {
'cname': 'DAQmxSetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetChanAttributeDoubleArray': {
'cname': 'DAQmxSetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'size': {
'mechanism': 'len',
'value': 'size'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetChanAttributeInt32': {
'cname': 'DAQmxSetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetChanAttributeString': {
'cname': 'DAQmxSetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetChanAttributeUInt32': {
'cname': 'DAQmxSetChanAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'channel',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ChannelAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetDigitalLogicFamilyPowerUpState': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'LogicFamily',
'name': 'logicFamily',
'type': 'int32'
}
],
'returns': 'int32'
},
'SetDigitalPowerUpStates': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'include_in_proto': False,
'name': 'channelNames',
'repeating_argument': True,
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'PowerUpStates',
'include_in_proto': False,
'name': 'state',
'repeating_argument': True,
'type': 'int32'
},
{
'direction': 'in',
'grpc_type': 'repeated DigitalPowerUpChannelsAndState',
'is_compound_type': True,
'max_length': 96,
'name': 'powerUpStates',
'repeated_var_args': True
}
],
'returns': 'int32'
},
'SetDigitalPullUpPullDownStates': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
},
{
'direction': 'in',
'include_in_proto': False,
'name': 'channelNames',
'repeating_argument': True,
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'ResistorState',
'include_in_proto': False,
'name': 'state',
'repeating_argument': True,
'type': 'int32'
},
{
'direction': 'in',
'grpc_type': 'repeated DigitalPullUpPullDownChannelsAndState',
'is_compound_type': True,
'max_length': 96,
'name': 'pullUpPullDownStates',
'repeated_var_args': True
}
],
'returns': 'int32'
},
'SetExportedSignalAttributeBool': {
'cname': 'DAQmxSetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetExportedSignalAttributeDouble': {
'cname': 'DAQmxSetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetExportedSignalAttributeInt32': {
'cname': 'DAQmxSetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetExportedSignalAttributeString': {
'cname': 'DAQmxSetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetExportedSignalAttributeUInt32': {
'cname': 'DAQmxSetExportedSignalAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ExportSignalAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetFirstSampClkWhen': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'SetReadAttributeBool': {
'cname': 'DAQmxSetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetReadAttributeDouble': {
'cname': 'DAQmxSetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetReadAttributeInt32': {
'cname': 'DAQmxSetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetReadAttributeString': {
'cname': 'DAQmxSetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetReadAttributeUInt32': {
'cname': 'DAQmxSetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetReadAttributeUInt64': {
'cname': 'DAQmxSetReadAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'ReadAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetRealTimeAttributeBool': {
'cname': 'DAQmxSetRealTimeAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'RealTimeAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetRealTimeAttributeInt32': {
'cname': 'DAQmxSetRealTimeAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'RealTimeAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetRealTimeAttributeUInt32': {
'cname': 'DAQmxSetRealTimeAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'RealTimeAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetScaleAttributeDouble': {
'cname': 'DAQmxSetScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetScaleAttributeDoubleArray': {
'cname': 'DAQmxSetScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'size': {
'mechanism': 'len',
'value': 'size'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetScaleAttributeInt32': {
'cname': 'DAQmxSetScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetScaleAttributeString': {
'cname': 'DAQmxSetScaleAttribute',
'parameters': [
{
'direction': 'in',
'name': 'scaleName',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'ScaleAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetStartTrigTrigWhen': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'SetSyncPulseTimeWhen': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'data',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'SetTimingAttributeBool': {
'cname': 'DAQmxSetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeDouble': {
'cname': 'DAQmxSetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeExBool': {
'cname': 'DAQmxSetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeExDouble': {
'cname': 'DAQmxSetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeExInt32': {
'cname': 'DAQmxSetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeExString': {
'cname': 'DAQmxSetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeExTimestamp': {
'cname': 'DAQmxSetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'CVIAbsoluteTime'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeExUInt32': {
'cname': 'DAQmxSetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeExUInt64': {
'cname': 'DAQmxSetTimingAttributeEx',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'deviceNames',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeInt32': {
'cname': 'DAQmxSetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeString': {
'cname': 'DAQmxSetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeTimestamp': {
'cname': 'DAQmxSetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'CVIAbsoluteTime'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeUInt32': {
'cname': 'DAQmxSetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTimingAttributeUInt64': {
'cname': 'DAQmxSetTimingAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TimingAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTrigAttributeBool': {
'cname': 'DAQmxSetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTrigAttributeDouble': {
'cname': 'DAQmxSetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTrigAttributeDoubleArray': {
'cname': 'DAQmxSetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'size': {
'mechanism': 'len',
'value': 'size'
},
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTrigAttributeInt32': {
'cname': 'DAQmxSetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTrigAttributeInt32Array': {
'cname': 'DAQmxSetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'size': {
'mechanism': 'len',
'value': 'size'
},
'type': 'const int32[]'
},
{
'direction': 'in',
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTrigAttributeString': {
'cname': 'DAQmxSetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTrigAttributeTimestamp': {
'cname': 'DAQmxSetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'CVIAbsoluteTime'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetTrigAttributeUInt32': {
'cname': 'DAQmxSetTrigAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'TriggerAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWatchdogAttributeBool': {
'cname': 'DAQmxSetWatchdogAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'WatchdogAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWatchdogAttributeDouble': {
'cname': 'DAQmxSetWatchdogAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'WatchdogAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWatchdogAttributeInt32': {
'cname': 'DAQmxSetWatchdogAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'WatchdogAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWatchdogAttributeString': {
'cname': 'DAQmxSetWatchdogAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'lines',
'type': 'const char[]'
},
{
'direction': 'in',
'grpc_type': 'WatchdogAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWriteAttributeBool': {
'cname': 'DAQmxSetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'bool32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWriteAttributeDouble': {
'cname': 'DAQmxSetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWriteAttributeInt32': {
'cname': 'DAQmxSetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWriteAttributeString': {
'cname': 'DAQmxSetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'const char[]'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWriteAttributeUInt32': {
'cname': 'DAQmxSetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'SetWriteAttributeUInt64': {
'cname': 'DAQmxSetWriteAttribute',
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'grpc_type': 'WriteAttributes',
'name': 'attribute',
'type': 'int32'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt64'
},
{
'direction': 'in',
'hardcoded_value': '0U',
'include_in_proto': False,
'name': 'size',
'type': 'uInt32'
}
],
'returns': 'int32'
},
'StartNewFile': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'filePath',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'StartTask': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
}
],
'returns': 'int32'
},
'StopTask': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
}
],
'returns': 'int32'
},
'TaskControl': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'TaskControlAction',
'name': 'action',
'type': 'int32'
}
],
'returns': 'int32'
},
'TristateOutputTerm': {
'parameters': [
{
'direction': 'in',
'name': 'outputTerminal',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'UnreserveNetworkDevice': {
'parameters': [
{
'direction': 'in',
'name': 'deviceName',
'type': 'const char[]'
}
],
'returns': 'int32'
},
'WaitForNextSampleClock': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'isLate',
'type': 'bool32'
}
],
'returns': 'int32'
},
'WaitForValidTimestamp': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'enum': 'TimestampEvent',
'name': 'timestampEvent',
'type': 'int32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'out',
'name': 'timestamp',
'type': 'CVIAbsoluteTime'
}
],
'returns': 'int32'
},
'WaitUntilTaskDone': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'timeToWait',
'type': 'float64'
}
],
'returns': 'int32'
},
'WriteAnalogF64': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'direction': 'in',
'name': 'writeArray',
'type': 'const float64[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteAnalogScalarF64': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'name': 'value',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteBinaryI16': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'coerced': True,
'direction': 'in',
'name': 'writeArray',
'type': 'const int16[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteBinaryI32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'direction': 'in',
'name': 'writeArray',
'type': 'const int32[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteBinaryU16': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'coerced': True,
'direction': 'in',
'name': 'writeArray',
'type': 'const uInt16[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteBinaryU32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'direction': 'in',
'name': 'writeArray',
'type': 'const uInt32[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteCtrFreq': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'direction': 'in',
'name': 'frequency',
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'dutyCycle',
'type': 'const float64[]'
},
{
'direction': 'out',
'name': 'numSampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteCtrFreqScalar': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'name': 'frequency',
'type': 'float64'
},
{
'direction': 'in',
'name': 'dutyCycle',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteCtrTicks': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'direction': 'in',
'name': 'highTicks',
'type': 'const uInt32[]'
},
{
'direction': 'in',
'name': 'lowTicks',
'type': 'const uInt32[]'
},
{
'direction': 'out',
'name': 'numSampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteCtrTicksScalar': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'name': 'highTicks',
'type': 'uInt32'
},
{
'direction': 'in',
'name': 'lowTicks',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteCtrTime': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'direction': 'in',
'name': 'highTime',
'type': 'const float64[]'
},
{
'direction': 'in',
'name': 'lowTime',
'type': 'const float64[]'
},
{
'direction': 'out',
'name': 'numSampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteCtrTimeScalar': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'name': 'highTime',
'type': 'float64'
},
{
'direction': 'in',
'name': 'lowTime',
'type': 'float64'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteDigitalLines': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'direction': 'in',
'name': 'writeArray',
'type': 'const uInt8[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteDigitalScalarU32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'name': 'value',
'type': 'uInt32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteDigitalU16': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'coerced': True,
'direction': 'in',
'name': 'writeArray',
'type': 'const uInt16[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteDigitalU32': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'direction': 'in',
'name': 'writeArray',
'type': 'const uInt32[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteDigitalU8': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSampsPerChan',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'enum': 'GroupBy',
'name': 'dataLayout',
'type': 'int32'
},
{
'direction': 'in',
'name': 'writeArray',
'type': 'const uInt8[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteRaw': {
'parameters': [
{
'direction': 'in',
'name': 'task',
'type': 'TaskHandle'
},
{
'direction': 'in',
'name': 'numSamps',
'type': 'int32'
},
{
'direction': 'in',
'name': 'autoStart',
'type': 'bool32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'float64'
},
{
'direction': 'in',
'name': 'writeArray',
'type': 'const uInt8[]'
},
{
'direction': 'out',
'name': 'sampsPerChanWritten',
'type': 'int32'
},
{
'direction': 'in',
'hardcoded_value': 'nullptr',
'include_in_proto': False,
'name': 'reserved',
'pointer': True,
'type': 'bool32'
}
],
'returns': 'int32'
},
'WriteToTEDSFromArray': {
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'bitStream',
'size': {
'mechanism': 'len',
'value': 'arraySize'
},
'type': 'const uInt8[]'
},
{
'direction': 'in',
'name': 'arraySize',
'type': 'uInt32'
},
{
'direction': 'in',
'enum': 'WriteBasicTEDSOptions',
'name': 'basicTEDSOptions',
'type': 'int32'
}
],
'returns': 'int32'
},
'WriteToTEDSFromFile': {
'parameters': [
{
'direction': 'in',
'name': 'physicalChannel',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'filePath',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'WriteBasicTEDSOptions',
'name': 'basicTEDSOptions',
'type': 'int32'
}
],
'returns': 'int32'
}
}
| 27.675984 | 97 | 0.30702 | 17,984 | 383,174 | 6.498109 | 0.044929 | 0.178561 | 0.162756 | 0.067772 | 0.904409 | 0.8977 | 0.890597 | 0.886695 | 0.88139 | 0.873757 | 0 | 0.022157 | 0.545585 | 383,174 | 13,844 | 98 | 27.677983 | 0.649001 | 0 | 0 | 0.624675 | 0 | 0 | 0.307445 | 0.037557 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.001445 | 0.000072 | 0 | 0.000072 | 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 |
f6b0b8d3885f1d7741a1cd2ea828454d0de94cbe | 6,745 | py | Python | mayan/apps/documents/tests/test_document_page_views.py | darrenflexxu/Mayan-EDMS | 6707365bfacd137e625ddc1b990168012246fa07 | [
"Apache-2.0"
] | null | null | null | mayan/apps/documents/tests/test_document_page_views.py | darrenflexxu/Mayan-EDMS | 6707365bfacd137e625ddc1b990168012246fa07 | [
"Apache-2.0"
] | 5 | 2021-03-19T22:59:52.000Z | 2022-03-12T00:13:16.000Z | mayan/apps/documents/tests/test_document_page_views.py | Sumit-Kumar-Jha/mayan | 5b7ddeccf080b9e41cc1074c70e27dfe447be19f | [
"Apache-2.0"
] | 1 | 2020-07-29T21:03:27.000Z | 2020-07-29T21:03:27.000Z | from __future__ import unicode_literals
from django.utils.encoding import force_text
from ..permissions import (
permission_document_edit, permission_document_view
)
from .base import GenericDocumentViewTestCase
class DocumentPageDisableViewTestMixin(object):
def _disable_test_document_page(self):
self.test_document_page.enabled = False
self.test_document_page.save()
def _request_test_document_page_disable_view(self):
return self.post(
viewname='documents:document_page_disable', kwargs={
'pk': self.test_document_page.pk
}
)
def _request_test_document_page_enable_view(self):
return self.post(
viewname='documents:document_page_enable', kwargs={
'pk': self.test_document_page.pk
}
)
def _request_test_document_page_multiple_disable_view(self):
return self.post(
viewname='documents:document_page_multiple_disable', data={
'id_list': self.test_document_page.pk
}
)
def _request_test_document_page_multiple_enable_view(self):
return self.post(
viewname='documents:document_page_multiple_enable', data={
'id_list': self.test_document_page.pk
}
)
class DocumentPageDisableViewTestCase(
DocumentPageDisableViewTestMixin, GenericDocumentViewTestCase
):
def test_document_page_disable_view_no_permission(self):
test_document_page_count = self.test_document.pages.count()
response = self._request_test_document_page_disable_view()
self.assertEqual(response.status_code, 404)
self.assertEqual(
test_document_page_count, self.test_document.pages.count()
)
def test_document_page_disable_view_with_access(self):
self.grant_access(
obj=self.test_document, permission=permission_document_edit
)
test_document_page_count = self.test_document.pages.count()
response = self._request_test_document_page_disable_view()
self.assertEqual(response.status_code, 302)
self.assertNotEqual(
test_document_page_count, self.test_document.pages.count()
)
def test_document_page_multiple_disable_view_no_permission(self):
test_document_page_count = self.test_document.pages.count()
response = self._request_test_document_page_multiple_disable_view()
self.assertEqual(response.status_code, 404)
self.assertEqual(
test_document_page_count, self.test_document.pages.count()
)
def test_document_page_multiple_disable_view_with_access(self):
self.grant_access(
obj=self.test_document, permission=permission_document_edit
)
test_document_page_count = self.test_document.pages.count()
response = self._request_test_document_page_multiple_disable_view()
self.assertEqual(response.status_code, 302)
self.assertNotEqual(
test_document_page_count, self.test_document.pages.count()
)
def test_document_page_enable_view_no_permission(self):
self._disable_test_document_page()
test_document_page_count = self.test_document.pages.count()
response = self._request_test_document_page_enable_view()
self.assertEqual(response.status_code, 404)
self.assertEqual(
test_document_page_count, self.test_document.pages.count()
)
def test_document_page_enable_view_with_access(self):
self._disable_test_document_page()
self.grant_access(
obj=self.test_document, permission=permission_document_edit
)
test_document_page_count = self.test_document.pages.count()
response = self._request_test_document_page_enable_view()
self.assertEqual(response.status_code, 302)
self.assertNotEqual(
test_document_page_count, self.test_document.pages.count()
)
def test_document_page_multiple_enable_view_no_permission(self):
self._disable_test_document_page()
test_document_page_count = self.test_document.pages.count()
response = self._request_test_document_page_multiple_enable_view()
self.assertEqual(response.status_code, 404)
self.assertEqual(
test_document_page_count, self.test_document.pages.count()
)
def test_document_page_multiple_enable_view_with_access(self):
self._disable_test_document_page()
self.grant_access(
obj=self.test_document, permission=permission_document_edit
)
test_document_page_count = self.test_document.pages.count()
response = self._request_test_document_page_multiple_enable_view()
self.assertEqual(response.status_code, 302)
self.assertNotEqual(
test_document_page_count, self.test_document.pages.count()
)
class DocumentPageViewTestMixin(object):
def _request_test_document_page_list_view(self):
return self.get(
viewname='documents:document_pages', kwargs={
'pk': self.test_document.pk
}
)
def _request_test_document_page_view(self, document_page):
return self.get(
viewname='documents:document_page_view', kwargs={
'pk': document_page.pk,
}
)
class DocumentPageViewTestCase(
DocumentPageViewTestMixin, GenericDocumentViewTestCase
):
def test_document_page_list_view_no_permission(self):
response = self._request_test_document_page_list_view()
self.assertEqual(response.status_code, 404)
def test_document_page_list_view_with_access(self):
self.grant_access(
obj=self.test_document, permission=permission_document_view
)
response = self._request_test_document_page_list_view()
self.assertContains(
response=response, text=self.test_document.label, status_code=200
)
def test_document_page_view_no_permissions(self):
response = self._request_test_document_page_view(
document_page=self.test_document.pages.first()
)
self.assertEqual(response.status_code, 404)
def test_document_page_view_with_access(self):
self.grant_access(
obj=self.test_document, permission=permission_document_view
)
response = self._request_test_document_page_view(
document_page=self.test_document.pages.first()
)
self.assertContains(
response=response, text=force_text(
self.test_document.pages.first()
), status_code=200
)
| 33.226601 | 77 | 0.696219 | 752 | 6,745 | 5.776596 | 0.082447 | 0.232044 | 0.209945 | 0.091851 | 0.86349 | 0.810083 | 0.774632 | 0.759438 | 0.74977 | 0.737109 | 0 | 0.006939 | 0.230838 | 6,745 | 202 | 78 | 33.391089 | 0.830378 | 0 | 0 | 0.509804 | 0 | 0 | 0.031727 | 0.028466 | 0 | 0 | 0 | 0 | 0.130719 | 1 | 0.124183 | false | 0 | 0.026144 | 0.039216 | 0.215686 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f6d5aa30a9b3e17cf907bda542a98685805e92d8 | 2,660 | py | Python | server/apps/accounts/api/serializers.py | supercooledcreations/djangular-seed | 6f73c7d91cd510ff03548a578a06730b4c351274 | [
"MIT"
] | null | null | null | server/apps/accounts/api/serializers.py | supercooledcreations/djangular-seed | 6f73c7d91cd510ff03548a578a06730b4c351274 | [
"MIT"
] | 2 | 2020-06-05T18:23:13.000Z | 2021-06-10T20:30:24.000Z | server/apps/accounts/api/serializers.py | supercooledcreations/djangular-seed | 6f73c7d91cd510ff03548a578a06730b4c351274 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from rest_framework import serializers
from rest_framework.reverse import reverse as api_reverse
User = get_user_model()
class StandardUserRegisterSerializer(serializers.ModelSerializer):
password = serializers.CharField(style={'input_type': 'password'}, write_only=True)
confirm_password = serializers.CharField(style={'input_type': 'password'}, write_only=True)
class Meta:
model = User
fields = ['username', 'email', 'password', 'confirm_password']
extra_kwargs = {'password': {'write_only': True}}
def validate_username(self, value):
qs = User.objects.filter(username__iexact=value)
if qs.exists():
raise serializers.ValidationError("User with this username address already exists")
return value
def validate_email(self, value):
qs = User.objects.filter(email__iexact=value)
if qs.exists():
raise serializers.ValidationError("User with this email address already exists")
return value
def validate(self, data):
pw = data.get("password")
pw2 = data.get("confirm_password")
if pw != pw2:
raise serializers.ValidationError("Passwords must match")
return data
def create(self, validated_data):
user_obj = User(
username=validated_data.get('username'),
email=validated_data.get('email'),
)
user_obj.set_password(validated_data.get('password'))
user_obj.save()
return user_obj
class EmailUserRegisterSerializer(serializers.ModelSerializer):
password = serializers.CharField(style={'input_type': 'password'}, write_only=True)
confirm_password = serializers.CharField(style={'input_type': 'password'}, write_only=True)
class Meta:
model = User
fields = ['email', 'password', 'confirm_password']
extra_kwargs = {'password': {'write_only': True}}
def validate_email(self, value):
qs = User.objects.filter(email__iexact=value)
if qs.exists():
raise serializers.ValidationError("User with this email address already exists")
return value
def validate(self, data):
pw = data.get("password")
pw2 = data.get("confirm_password")
if pw != pw2:
raise serializers.ValidationError("Passwords must match")
return data
def create(self, validated_data):
user_obj = User(
email=validated_data.get('email'),
)
user_obj.set_password(validated_data.get('password'))
user_obj.save()
return user_obj | 33.670886 | 95 | 0.657895 | 295 | 2,660 | 5.759322 | 0.20678 | 0.037081 | 0.060035 | 0.074161 | 0.841672 | 0.841672 | 0.825191 | 0.806945 | 0.806945 | 0.806945 | 0 | 0.001968 | 0.235714 | 2,660 | 79 | 96 | 33.670886 | 0.833743 | 0 | 0 | 0.766667 | 0 | 0 | 0.160842 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.116667 | false | 0.266667 | 0.05 | 0 | 0.416667 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
f6ff28b8c04d48d6511a0e130ad6dd82f1a49425 | 9,864 | py | Python | theano/tests/test_gradient.py | jsalvatier/Theano-1 | 457bae18a0d3284841b9bcae5ce4ceee22f33132 | [
"BSD-3-Clause"
] | 1 | 2015-11-05T13:58:11.000Z | 2015-11-05T13:58:11.000Z | theano/tests/test_gradient.py | jsalvatier/Theano-1 | 457bae18a0d3284841b9bcae5ce4ceee22f33132 | [
"BSD-3-Clause"
] | null | null | null | theano/tests/test_gradient.py | jsalvatier/Theano-1 | 457bae18a0d3284841b9bcae5ce4ceee22f33132 | [
"BSD-3-Clause"
] | null | null | null |
#
# UNIT TEST
#
import unittest
import numpy
import theano
from theano import gof
from theano.gradient import *
from theano import gradient
def _grad_sources_inputs(*args):
# warn_type was introduced after this code, it complains throughout for nothing.
return grad_sources_inputs(warn_type=False, *args)
class test_grad_sources_inputs(unittest.TestCase):
def test_retNone1(self):
"""Test that it is not ok to return None from op.grad()"""
class retNone(gof.op.Op):
def make_node(self):
inputs = [gof.generic()]
outputs = [gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inp, grads):
x, = inp
gz, = grads
pass
a = retNone().make_node()
try:
_grad_sources_inputs([(a.out, 1)], None)
except ValueError, e:
self.assertTrue(e[0] is gradient._msg_retType)
return
self.fail()
def test_retNone1_b(self):
"""Test that it is ok to return [None] from op.grad()"""
class retNone(gof.op.Op):
def make_node(self, *inputs):
outputs = [gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inp, grads):
return [None]
i = gof.generic()
a = retNone().make_node(i)
g = _grad_sources_inputs([(a.out, 1)], None)
self.assertTrue(not i in g)
def test_wrong_rval_len1(self):
"""Test that it is not ok to return the wrong number of gradients"""
class retNone(gof.op.Op):
def make_node(self, *inputs):
outputs = [gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inputs, grads):
return [None]
i = gof.generic()
j = gof.generic()
a1 = retNone().make_node(i)
g = _grad_sources_inputs([(a1.out, 1)], None)
a2 = retNone().make_node(i,j)
try:
g = _grad_sources_inputs([(a2.out, 1)], None)
except ValueError, e:
self.assertTrue(e[0] is gradient._msg_badlen)
return
self.fail()
def test_stop_on_all_none(self):
"""Test that op.grad() is not called when output grads are all None"""
class retNone(gof.op.Op):
def __init__(self, tst):
self.tst = tst
def make_node(self, *inputs):
outputs = [gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inputs, grads):
self.tst.fail()
i = gof.generic()
a1 = retNone(self).make_node(i)
g = _grad_sources_inputs([(a1.out, None)], None)
def test_1in_1out(self):
"""Test grad is called correctly for a 1-to-1 op"""
gval = gof.generic()
class O(gof.op.Op):
def make_node(self):
inputs = [gof.generic()]
outputs = [gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inp, grads):
return gval,
a1 = O().make_node()
g = _grad_sources_inputs([(a1.outputs[0], 1)], None)
self.assertTrue(g[a1.inputs[0]] is gval)
def test_1in_Nout(self):
"""Test grad is called correctly for a 1-to-many op"""
gval = gof.generic()
class O(gof.op.Op):
def make_node(self):
inputs = [gof.generic()]
outputs = [gof.generic(),gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inp, grads):
x, = inp
gz1, gz2 = grads
return gval,
a1 = O().make_node()
g = _grad_sources_inputs([(a1.outputs[0], 1)], None)
self.assertTrue(g[a1.inputs[0]] is gval)
def test_Nin_1out(self):
"""Test grad is called correctly for a many-to-1 op"""
gval0 = gof.generic()
gval1 = gof.generic()
class O(gof.op.Op):
def make_node(self):
inputs = [gof.generic(),gof.generic()]
outputs = [gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inp, grads):
x0, x1 = inp
gz, = grads
return (gval0, gval1)
a1 = O().make_node()
g = _grad_sources_inputs([(a1.outputs[0], 1)], None)
self.assertTrue(g[a1.inputs[0]] is gval0)
self.assertTrue(g[a1.inputs[1]] is gval1)
def test_Nin_Nout(self):
"""Test grad is called correctly for a many-to-many op"""
gval0 = gof.generic()
gval1 = gof.generic()
class O(gof.op.Op):
def make_node(self):
inputs = [gof.generic(),gof.generic()]
outputs = [gof.generic(),gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inp, grads):
return gval0, gval1
a1 = O().make_node()
g = _grad_sources_inputs([(a1.outputs[0], 1)], None)
self.assertTrue(g[a1.inputs[0]] is gval0)
self.assertTrue(g[a1.inputs[1]] is gval1)
def test_some_None_ograds(self):
"""Test grad is called when some output gradients are None"""
class O(gof.op.Op):
def __init__(self, tst):
self.tst = tst
def make_node(self, *inputs):
outputs = [gof.generic(),gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inputs, g_out):
return [1]
i = gof.generic()
a1 = O(self).make_node(i)
g = grad_sources_inputs([(a1.outputs[0], 1)], None, warn_type=False)
self.assertTrue(g[i] is 1)
def test_some_None_igrads(self):
"""Test that traversal works properly when an op return some None"""
class O(gof.op.Op):
def __init__(self, tst, grad_ok):
self.tst = tst
self.grad_ok = grad_ok
def make_node(self, *inputs):
outputs = [gof.generic(),gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inputs, g_out):
if not self.grad_ok:
self.tst.fail()
else:
return [1, None]
i = gof.generic()
j = gof.generic()
k = gof.generic()
a1 = O(self, True).make_node(i,j)
a2 = O(self, True).make_node(a1.outputs[1], k)
g = grad_sources_inputs([(a2.outputs[0], 1)], None, warn_type=False)
self.assertTrue(g[i] is 1 and j not in g and k not in g)
a1 = O(self, True).make_node(i,j)
a2 = O(self, True).make_node(k, a1.outputs[1])
g = _grad_sources_inputs([(a2.outputs[0], 1)], None)
self.assertTrue(g[k] is 1 and i not in g and j not in g)
def test_inputs(self):
"""Test that passing inputs shortens the traversal"""
class O(gof.op.Op):
def __init__(self, tst, grad_ok):
self.tst = tst
self.grad_ok = grad_ok
def make_node(self, *inputs):
outputs = [gof.generic(),gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inputs, grads):
g0, g1 = grads
if not self.grad_ok:
self.tst.fail()
else:
if g1:
return [g0, g0+g1]
else:
return [g0, g0]
i = gof.generic()
j = gof.generic()
k = gof.generic()
a1 = O(self, True).make_node(i,j)
a2 = O(self, True).make_node(k,a1.outputs[1])
g = _grad_sources_inputs([(a2.outputs[0], 1), (a1.outputs[1],4),
(a1.outputs[0], 3), (a1.outputs[0], 3)], a1.outputs)
self.assertTrue(g[a2.inputs[0]] == 1)
self.assertTrue(g[a2.inputs[1]] == 5)
self.assertTrue(g[a1.outputs[0]] == 6)
self.assertTrue(g[a1.outputs[1]] == 5)
self.assertTrue(a1.inputs[0] not in g)
self.assertTrue(a1.inputs[1] not in g)
def test_multiple_sources(self):
"""Test that passing multiple sources works"""
class O(gof.op.Op):
def __init__(self, tst, grad_ok):
self.tst = tst
self.grad_ok = grad_ok
def make_node(self, *inputs):
outputs = [gof.generic(),gof.generic()]
return gof.Apply(self, inputs, outputs)
def grad(self, inputs, grads):
g0, g1 = grads
if not self.grad_ok:
self.tst.fail()
else:
if g1:
return [g0, g0+g1]
else:
return [g0, g0]
i = gof.generic()
j = gof.generic()
k = gof.generic()
a1 = O(self,True).make_node(i,j)
a2 = O(self,True).make_node(k,a1.outputs[1])
g = _grad_sources_inputs([(a2.outputs[0], 1), (a1.outputs[1],4),
(a1.outputs[0], 3), (a1.outputs[0], 3)], None)
self.assertTrue(g[a2.inputs[0]] == 1)
self.assertTrue(g[a2.inputs[1]] == 5)
self.assertTrue(g[a1.outputs[0]] == 6)
self.assertTrue(g[a1.outputs[1]] == 5)
self.assertTrue(g[a1.inputs[0]] == 6)
self.assertTrue(g[a1.inputs[1]] == 11)
def test_unimplemented_grad():
a = theano.tensor.vector()
b = theano.gradient.unimplemented_grad(theano.tensor.add, 1, a)
f = theano.function([a], b)
try:
f([1,2,3])
assert 0
except NotImplementedError:
pass
if __name__ == '__main__':
unittest.main()
| 37.082707 | 84 | 0.52058 | 1,281 | 9,864 | 3.885246 | 0.103825 | 0.090416 | 0.064899 | 0.047016 | 0.7826 | 0.75226 | 0.736789 | 0.722323 | 0.714085 | 0.670082 | 0 | 0.027869 | 0.348844 | 9,864 | 265 | 85 | 37.222642 | 0.747003 | 0.008921 | 0 | 0.727273 | 0 | 0 | 0.000882 | 0 | 0 | 0 | 0 | 0 | 0.108225 | 0 | null | null | 0.008658 | 0.025974 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
123476c42d756f3312035558cc4082254cab0c8a | 68,628 | py | Python | benchmarks/SimResults/Paper2_pinned_spec_ml/cmp_gamessmcfmilczeusmp/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | benchmarks/SimResults/Paper2_pinned_spec_ml/cmp_gamessmcfmilczeusmp/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | benchmarks/SimResults/Paper2_pinned_spec_ml/cmp_gamessmcfmilczeusmp/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
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'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
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'Subthreshold Leakage with power gating': 0.0259246},
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
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'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
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'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000801771,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00217251,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0046277,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0536553,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.41294,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.110385,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.182238,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 5.79963,
'Instruction Fetch Unit/Runtime Dynamic': 0.353079,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0618757,
'L2/Runtime Dynamic': 0.0178262,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.96425,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.857433,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0558767,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0558767,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.22918,
'Load Store Unit/Runtime Dynamic': 1.18887,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.137782,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.275565,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0488994,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0498258,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.212204,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0181048,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.45524,
'Memory Management Unit/Runtime Dynamic': 0.0679306,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 19.9634,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.250603,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
'Renaming Unit/Free List/Gate Leakage': 4.15911e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0401324,
'Renaming Unit/Free List/Runtime Dynamic': 0.013661,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987,
'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.104664,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.368928,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 3.99411,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.0760419,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.262415,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Floating Point Units/Peak Dynamic': 0.357299,
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'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
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'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
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'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.144819,
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'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
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'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
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'Execution Unit/Peak Dynamic': 4.77387,
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'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
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'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0675015,
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'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0845891,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0551773,
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'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
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'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.19722,
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'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.77872,
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'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000528599,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000528599,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000472514,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000189539,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
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'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00232234,
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'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00463566,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
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'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
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'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
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'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.37402,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.116596,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.180159,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 5.75628,
'Instruction Fetch Unit/Runtime Dynamic': 0.356757,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0436713,
'L2/Runtime Dynamic': 0.0127922,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.71091,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.733094,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0476805,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0476803,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.93606,
'Load Store Unit/Runtime Dynamic': 1.01592,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.117572,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.235143,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
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'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0417266,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0423696,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
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'Memory Management Unit/Itlb/Runtime Dynamic': 0.0191523,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.437572,
'Memory Management Unit/Runtime Dynamic': 0.0615219,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
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'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
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'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.177565,
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'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
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'Renaming Unit/Free List/Runtime Dynamic': 0.0101861,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0881921,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.275944,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 3.50165,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.0852649,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.269659,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.38053,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.223312,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.360195,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
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'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.181814,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.765321,
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'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
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'Execution Unit/Integer ALUs/Peak Dynamic': 0.197064,
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'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.92482,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0718903,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00936673,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.102905,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0692727,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.174795,
'Execution Unit/Register Files/Runtime Dynamic': 0.0786394,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.238112,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.547938,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 2.06694,
'Execution Unit/Subthreshold Leakage': 1.79543,
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'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000750692,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000750692,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000670992,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000269126,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000995108,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00316748,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00658517,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0665936,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.23592,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.155896,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.226182,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 6.66002,
'Instruction Fetch Unit/Runtime Dynamic': 0.458424,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0373351,
'L2/Runtime Dynamic': 0.00941809,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.08612,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.908779,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0598194,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0598195,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.3686,
'Load Store Unit/Runtime Dynamic': 1.26361,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.147505,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.29501,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0523498,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0528892,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.263374,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0256202,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.509411,
'Memory Management Unit/Runtime Dynamic': 0.0785094,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 19.0897,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.18911,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0123767,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.111772,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.313259,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 4.19015,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.079865,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.265418,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.379683,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.194488,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.313702,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.158346,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.666537,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
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'Execution Unit/Integer ALUs/Peak Dynamic': 0.164227,
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'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.84281,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
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'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0717302,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00815771,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0909891,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0603313,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.162719,
'Execution Unit/Register Files/Runtime Dynamic': 0.068489,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.211659,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.480699,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.88652,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000543393,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000543393,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000479942,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000189429,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000866664,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00243339,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00497251,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.057998,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.68917,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.130341,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.196987,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 6.08673,
'Instruction Fetch Unit/Runtime Dynamic': 0.392732,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0677844,
'L2/Runtime Dynamic': 0.0173301,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.70339,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.744952,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0474374,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0474374,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.9274,
'Load Store Unit/Runtime Dynamic': 1.02633,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.116973,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.233945,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.041514,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0425214,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.229379,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0213987,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.456801,
'Memory Management Unit/Runtime Dynamic': 0.0639201,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 17.971,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.188689,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0110711,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0966571,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.296417,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 3.68325,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 4.787049090154534,
'Runtime Dynamic': 4.787049090154534,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.256964,
'Runtime Dynamic': 0.103345,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 74.8179,
'Peak Power': 107.93,
'Runtime Dynamic': 15.4725,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 74.561,
'Total Cores/Runtime Dynamic': 15.3692,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.256964,
'Total L3s/Runtime Dynamic': 0.103345,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}} | 75.085339 | 124 | 0.682171 | 8,082 | 68,628 | 5.786686 | 0.067558 | 0.123503 | 0.112898 | 0.093397 | 0.939745 | 0.931855 | 0.918876 | 0.887808 | 0.862791 | 0.842114 | 0 | 0.132258 | 0.224267 | 68,628 | 914 | 125 | 75.085339 | 0.746229 | 0 | 0 | 0.642232 | 0 | 0 | 0.657229 | 0.048085 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
89fdbfde34f6ef8f6ead02e4493ec359adeda3cb | 498 | py | Python | MillerArrays/millerArrayPrintSummary.py | MooersLab/jupyterlabcctbxsnipsplus | 80a380046adcc9b16581ed1681884017514edbb7 | [
"MIT"
] | null | null | null | MillerArrays/millerArrayPrintSummary.py | MooersLab/jupyterlabcctbxsnipsplus | 80a380046adcc9b16581ed1681884017514edbb7 | [
"MIT"
] | null | null | null | MillerArrays/millerArrayPrintSummary.py | MooersLab/jupyterlabcctbxsnipsplus | 80a380046adcc9b16581ed1681884017514edbb7 | [
"MIT"
] | null | null | null | # Description: Read mtz file into a miller array and print summary.
# Source: NA
"""
from iotbx.reflection_file_reader import any_reflection_file
hkl_in = any_reflection_file(file_name="${1:3nd4}.mtz")
miller_arrays = hkl_in.as_miller_arrays()
f_obs = miller_arrays[0]
f_obs.show_summary()
"""
from iotbx.reflection_file_reader import any_reflection_file
hkl_in = any_reflection_file(file_name="3nd4.mtz")
miller_arrays = hkl_in.as_miller_arrays()
f_obs = miller_arrays[0]
f_obs.show_summary()
| 29.294118 | 68 | 0.799197 | 82 | 498 | 4.463415 | 0.365854 | 0.229508 | 0.185792 | 0.125683 | 0.830601 | 0.830601 | 0.830601 | 0.830601 | 0.830601 | 0.830601 | 0 | 0.01559 | 0.098394 | 498 | 16 | 69 | 31.125 | 0.799555 | 0.570281 | 0 | 0 | 0 | 0 | 0.039024 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
d627fded7cc9b3c3f15d06dac1b624667cd22cf0 | 82,090 | py | Python | RI/flask_server/tapi_server/test/test_tapi_path_computation_controller.py | arthurMll/TAPI | e1171bb139c6791a953af09cfc2bc7ad928da73d | [
"Apache-2.0"
] | 57 | 2018-04-09T08:56:18.000Z | 2022-03-23T08:31:06.000Z | RI/flask_server/tapi_server/test/test_tapi_path_computation_controller.py | arthurMll/TAPI | e1171bb139c6791a953af09cfc2bc7ad928da73d | [
"Apache-2.0"
] | 143 | 2016-06-08T04:09:54.000Z | 2018-02-23T10:45:59.000Z | RI/flask_server/tapi_server/test/test_tapi_path_computation_controller.py | arthurMll/TAPI | e1171bb139c6791a953af09cfc2bc7ad928da73d | [
"Apache-2.0"
] | 64 | 2018-03-07T07:55:17.000Z | 2022-03-28T07:14:28.000Z | # coding: utf-8
from __future__ import absolute_import
from flask import json
from six import BytesIO
from tapi_server.models.inline_object import InlineObject # noqa: E501
from tapi_server.models.inline_object11 import InlineObject11 # noqa: E501
from tapi_server.models.inline_object26 import InlineObject26 # noqa: E501
from tapi_server.models.tapi_common_bandwidth_profile import TapiCommonBandwidthProfile # noqa: E501
from tapi_server.models.tapi_common_capacity import TapiCommonCapacity # noqa: E501
from tapi_server.models.tapi_common_capacity_value import TapiCommonCapacityValue # noqa: E501
from tapi_server.models.tapi_common_name_and_value import TapiCommonNameAndValue # noqa: E501
from tapi_server.models.tapi_common_service_interface_point_ref import TapiCommonServiceInterfacePointRef # noqa: E501
from tapi_server.models.tapi_path_computation_compute_p2_p_path import TapiPathComputationComputeP2PPath # noqa: E501
from tapi_server.models.tapi_path_computation_delete_p2_p_path import TapiPathComputationDeleteP2PPath # noqa: E501
from tapi_server.models.tapi_path_computation_optimize_p2_p_path import TapiPathComputationOptimizeP2PPath # noqa: E501
from tapi_server.models.tapi_path_computation_path import TapiPathComputationPath # noqa: E501
from tapi_server.models.tapi_path_computation_path_computation_context import TapiPathComputationPathComputationContext # noqa: E501
from tapi_server.models.tapi_path_computation_path_computation_service import TapiPathComputationPathComputationService # noqa: E501
from tapi_server.models.tapi_path_computation_path_objective_function import TapiPathComputationPathObjectiveFunction # noqa: E501
from tapi_server.models.tapi_path_computation_path_optimization_constraint import TapiPathComputationPathOptimizationConstraint # noqa: E501
from tapi_server.models.tapi_path_computation_path_ref import TapiPathComputationPathRef # noqa: E501
from tapi_server.models.tapi_path_computation_path_service_end_point import TapiPathComputationPathServiceEndPoint # noqa: E501
from tapi_server.models.tapi_path_computation_routing_constraint import TapiPathComputationRoutingConstraint # noqa: E501
from tapi_server.models.tapi_path_computation_topology_constraint import TapiPathComputationTopologyConstraint # noqa: E501
from tapi_server.models.tapi_topology_cost_characteristic import TapiTopologyCostCharacteristic # noqa: E501
from tapi_server.models.tapi_topology_latency_characteristic import TapiTopologyLatencyCharacteristic # noqa: E501
from tapi_server.models.tapi_topology_link_ref import TapiTopologyLinkRef # noqa: E501
from tapi_server.models.tapi_topology_node_ref import TapiTopologyNodeRef # noqa: E501
from tapi_server.models.tapi_topology_risk_characteristic import TapiTopologyRiskCharacteristic # noqa: E501
from tapi_server.models.tapi_topology_topology_ref import TapiTopologyTopologyRef # noqa: E501
from tapi_server.test import BaseTestCase
class TestTapiPathComputationController(BaseTestCase):
"""TapiPathComputationController integration test stubs"""
def test_data_context_path_computation_context_delete(self):
"""Test case for data_context_path_computation_context_delete
"""
response = self.client.open(
'/data/context/path-computation-context/',
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_get(self):
"""Test case for data_context_path_computation_context_get
"""
response = self.client.open(
'/data/context/path-computation-context/',
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_service_post(self):
"""Test case for data_context_path_computation_context_path_comp_service_post
"""
tapi_path_computation_path_computation_service = TapiPathComputationPathComputationService()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service/',
method='POST',
data=json.dumps(tapi_path_computation_path_computation_service),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/'.format(uuid='uuid_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_point_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_point_post
"""
tapi_path_computation_path_service_end_point = TapiPathComputationPathServiceEndPoint()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_path_computation_path_service_end_point),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_burst_size_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_burst_size_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/committed-burst-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_burst_size_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_burst_size_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/committed-burst-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_burst_size_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_burst_size_post
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/committed-burst-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='POST',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_burst_size_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_burst_size_put
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/committed-burst-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='PUT',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_information_rate_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_information_rate_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/committed-information-rate/'.format(uuid='uuid_example', local_id='local_id_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_information_rate_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_information_rate_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/committed-information-rate/'.format(uuid='uuid_example', local_id='local_id_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_information_rate_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_information_rate_post
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/committed-information-rate/'.format(uuid='uuid_example', local_id='local_id_example'),
method='POST',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_information_rate_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_committed_information_rate_put
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/committed-information-rate/'.format(uuid='uuid_example', local_id='local_id_example'),
method='PUT',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/'.format(uuid='uuid_example', local_id='local_id_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/'.format(uuid='uuid_example', local_id='local_id_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_burst_size_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_burst_size_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/peak-burst-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_burst_size_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_burst_size_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/peak-burst-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_burst_size_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_burst_size_post
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/peak-burst-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='POST',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_burst_size_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_burst_size_put
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/peak-burst-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='PUT',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_information_rate_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_information_rate_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/peak-information-rate/'.format(uuid='uuid_example', local_id='local_id_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_information_rate_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_information_rate_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/peak-information-rate/'.format(uuid='uuid_example', local_id='local_id_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_information_rate_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_information_rate_post
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/peak-information-rate/'.format(uuid='uuid_example', local_id='local_id_example'),
method='POST',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_information_rate_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_peak_information_rate_put
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/peak-information-rate/'.format(uuid='uuid_example', local_id='local_id_example'),
method='PUT',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_post
"""
tapi_common_bandwidth_profile = TapiCommonBandwidthProfile()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/'.format(uuid='uuid_example', local_id='local_id_example'),
method='POST',
data=json.dumps(tapi_common_bandwidth_profile),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_bandwidth_profile_put
"""
tapi_common_bandwidth_profile = TapiCommonBandwidthProfile()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/bandwidth-profile/'.format(uuid='uuid_example', local_id='local_id_example'),
method='PUT',
data=json.dumps(tapi_common_bandwidth_profile),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/'.format(uuid='uuid_example', local_id='local_id_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/'.format(uuid='uuid_example', local_id='local_id_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_post
"""
tapi_common_capacity = TapiCommonCapacity()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/'.format(uuid='uuid_example', local_id='local_id_example'),
method='POST',
data=json.dumps(tapi_common_capacity),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_put
"""
tapi_common_capacity = TapiCommonCapacity()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/'.format(uuid='uuid_example', local_id='local_id_example'),
method='PUT',
data=json.dumps(tapi_common_capacity),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_total_size_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_total_size_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/total-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_total_size_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_total_size_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/total-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_total_size_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_total_size_post
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/total-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='POST',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_total_size_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_capacity_total_size_put
"""
tapi_common_capacity_value = TapiCommonCapacityValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/capacity/total-size/'.format(uuid='uuid_example', local_id='local_id_example'),
method='PUT',
data=json.dumps(tapi_common_capacity_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/'.format(uuid='uuid_example', local_id='local_id_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/'.format(uuid='uuid_example', local_id='local_id_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_name_post
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/name/'.format(uuid='uuid_example', local_id='local_id_example'),
method='POST',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_namevalue_name_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_namevalue_name_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/name={value-name}/'.format(uuid='uuid_example', local_id='local_id_example', value_name='value_name_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_namevalue_name_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_namevalue_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/name={value-name}/'.format(uuid='uuid_example', local_id='local_id_example', value_name='value_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_namevalue_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_namevalue_name_post
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/name={value-name}/'.format(uuid='uuid_example', local_id='local_id_example', value_name='value_name_example'),
method='POST',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_namevalue_name_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_namevalue_name_put
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/name={value-name}/'.format(uuid='uuid_example', local_id='local_id_example', value_name='value_name_example'),
method='PUT',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_post
"""
tapi_path_computation_path_service_end_point = TapiPathComputationPathServiceEndPoint()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/'.format(uuid='uuid_example', local_id='local_id_example'),
method='POST',
data=json.dumps(tapi_path_computation_path_service_end_point),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_put
"""
tapi_path_computation_path_service_end_point = TapiPathComputationPathServiceEndPoint()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/'.format(uuid='uuid_example', local_id='local_id_example'),
method='PUT',
data=json.dumps(tapi_path_computation_path_service_end_point),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_service_interface_point_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_end_pointlocal_id_service_interface_point_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/end-point={local-id}/service-interface-point/'.format(uuid='uuid_example', local_id='local_id_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/'.format(uuid='uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_name_post
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/name/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_namevalue_name_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_namevalue_name_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_namevalue_name_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_namevalue_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_namevalue_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_namevalue_name_post
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='POST',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_namevalue_name_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_namevalue_name_put
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='PUT',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_objective_function_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_objective_function_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/objective-function/'.format(uuid='uuid_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_objective_function_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_objective_function_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/objective-function/'.format(uuid='uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_objective_function_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_objective_function_name_post
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/objective-function/name/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_objective_function_namevalue_name_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_objective_function_namevalue_name_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/objective-function/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_objective_function_namevalue_name_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_objective_function_namevalue_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/objective-function/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_objective_function_namevalue_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_objective_function_namevalue_name_post
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/objective-function/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='POST',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_objective_function_namevalue_name_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_objective_function_namevalue_name_put
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/objective-function/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='PUT',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_objective_function_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_objective_function_post
"""
tapi_path_computation_path_objective_function = TapiPathComputationPathObjectiveFunction()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/objective-function/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_path_computation_path_objective_function),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_objective_function_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_objective_function_put
"""
tapi_path_computation_path_objective_function = TapiPathComputationPathObjectiveFunction()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/objective-function/'.format(uuid='uuid_example'),
method='PUT',
data=json.dumps(tapi_path_computation_path_objective_function),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/optimization-constraint/'.format(uuid='uuid_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/optimization-constraint/'.format(uuid='uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_name_post
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/optimization-constraint/name/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_namevalue_name_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_namevalue_name_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/optimization-constraint/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_namevalue_name_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_namevalue_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/optimization-constraint/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_namevalue_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_namevalue_name_post
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/optimization-constraint/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='POST',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_namevalue_name_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_namevalue_name_put
"""
tapi_common_name_and_value = TapiCommonNameAndValue()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/optimization-constraint/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='PUT',
data=json.dumps(tapi_common_name_and_value),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_post
"""
tapi_path_computation_path_optimization_constraint = TapiPathComputationPathOptimizationConstraint()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/optimization-constraint/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_path_computation_path_optimization_constraint),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_optimization_constraint_put
"""
tapi_path_computation_path_optimization_constraint = TapiPathComputationPathOptimizationConstraint()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/optimization-constraint/'.format(uuid='uuid_example'),
method='PUT',
data=json.dumps(tapi_path_computation_path_optimization_constraint),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_pathpath_uuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_pathpath_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/path={path-uuid}/'.format(uuid='uuid_example', path_uuid='path_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_post
"""
tapi_path_computation_path_computation_service = TapiPathComputationPathComputationService()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_path_computation_path_computation_service),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_put
"""
tapi_path_computation_path_computation_service = TapiPathComputationPathComputationService()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/'.format(uuid='uuid_example'),
method='PUT',
data=json.dumps(tapi_path_computation_path_computation_service),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristic_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristic_post
"""
tapi_topology_cost_characteristic = TapiTopologyCostCharacteristic()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/cost-characteristic/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_topology_cost_characteristic),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristiccost_name_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristiccost_name_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/cost-characteristic={cost-name}/'.format(uuid='uuid_example', cost_name='cost_name_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristiccost_name_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristiccost_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/cost-characteristic={cost-name}/'.format(uuid='uuid_example', cost_name='cost_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristiccost_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristiccost_name_post
"""
tapi_topology_cost_characteristic = TapiTopologyCostCharacteristic()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/cost-characteristic={cost-name}/'.format(uuid='uuid_example', cost_name='cost_name_example'),
method='POST',
data=json.dumps(tapi_topology_cost_characteristic),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristiccost_name_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_cost_characteristiccost_name_put
"""
tapi_topology_cost_characteristic = TapiTopologyCostCharacteristic()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/cost-characteristic={cost-name}/'.format(uuid='uuid_example', cost_name='cost_name_example'),
method='PUT',
data=json.dumps(tapi_topology_cost_characteristic),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/'.format(uuid='uuid_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/'.format(uuid='uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristic_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristic_post
"""
tapi_topology_latency_characteristic = TapiTopologyLatencyCharacteristic()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/latency-characteristic/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_topology_latency_characteristic),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristictraffic_property_name_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristictraffic_property_name_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/latency-characteristic={traffic-property-name}/'.format(uuid='uuid_example', traffic_property_name='traffic_property_name_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristictraffic_property_name_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristictraffic_property_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/latency-characteristic={traffic-property-name}/'.format(uuid='uuid_example', traffic_property_name='traffic_property_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristictraffic_property_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristictraffic_property_name_post
"""
tapi_topology_latency_characteristic = TapiTopologyLatencyCharacteristic()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/latency-characteristic={traffic-property-name}/'.format(uuid='uuid_example', traffic_property_name='traffic_property_name_example'),
method='POST',
data=json.dumps(tapi_topology_latency_characteristic),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristictraffic_property_name_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_latency_characteristictraffic_property_name_put
"""
tapi_topology_latency_characteristic = TapiTopologyLatencyCharacteristic()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/latency-characteristic={traffic-property-name}/'.format(uuid='uuid_example', traffic_property_name='traffic_property_name_example'),
method='PUT',
data=json.dumps(tapi_topology_latency_characteristic),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_post
"""
tapi_path_computation_routing_constraint = TapiPathComputationRoutingConstraint()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_path_computation_routing_constraint),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_put
"""
tapi_path_computation_routing_constraint = TapiPathComputationRoutingConstraint()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/'.format(uuid='uuid_example'),
method='PUT',
data=json.dumps(tapi_path_computation_routing_constraint),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristic_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristic_post
"""
tapi_topology_risk_characteristic = TapiTopologyRiskCharacteristic()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/risk-diversity-characteristic/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_topology_risk_characteristic),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/risk-diversity-characteristic={risk-characteristic-name}/'.format(uuid='uuid_example', risk_characteristic_name='risk_characteristic_name_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/risk-diversity-characteristic={risk-characteristic-name}/'.format(uuid='uuid_example', risk_characteristic_name='risk_characteristic_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_post
"""
tapi_topology_risk_characteristic = TapiTopologyRiskCharacteristic()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/risk-diversity-characteristic={risk-characteristic-name}/'.format(uuid='uuid_example', risk_characteristic_name='risk_characteristic_name_example'),
method='POST',
data=json.dumps(tapi_topology_risk_characteristic),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_put
"""
tapi_topology_risk_characteristic = TapiTopologyRiskCharacteristic()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/routing-constraint/risk-diversity-characteristic={risk-characteristic-name}/'.format(uuid='uuid_example', risk_characteristic_name='risk_characteristic_name_example'),
method='PUT',
data=json.dumps(tapi_topology_risk_characteristic),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_avoid_topologytopology_uuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_avoid_topologytopology_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/avoid-topology={topology-uuid}/'.format(uuid='uuid_example', topology_uuid='topology_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_delete(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_delete
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/'.format(uuid='uuid_example'),
method='DELETE')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_exclude_linktopology_uuidlink_uuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_exclude_linktopology_uuidlink_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/exclude-link={topology-uuid},{link-uuid}/'.format(uuid='uuid_example', topology_uuid='topology_uuid_example', link_uuid='link_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_exclude_nodetopology_uuidnode_uuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_exclude_nodetopology_uuidnode_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/exclude-node={topology-uuid},{node-uuid}/'.format(uuid='uuid_example', topology_uuid='topology_uuid_example', node_uuid='node_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_exclude_pathpath_uuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_exclude_pathpath_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/exclude-path={path-uuid}/'.format(uuid='uuid_example', path_uuid='path_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/'.format(uuid='uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_include_linktopology_uuidlink_uuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_include_linktopology_uuidlink_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/include-link={topology-uuid},{link-uuid}/'.format(uuid='uuid_example', topology_uuid='topology_uuid_example', link_uuid='link_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_include_nodetopology_uuidnode_uuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_include_nodetopology_uuidnode_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/include-node={topology-uuid},{node-uuid}/'.format(uuid='uuid_example', topology_uuid='topology_uuid_example', node_uuid='node_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_include_pathpath_uuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_include_pathpath_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/include-path={path-uuid}/'.format(uuid='uuid_example', path_uuid='path_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_include_topologytopology_uuid_get(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_include_topologytopology_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/include-topology={topology-uuid}/'.format(uuid='uuid_example', topology_uuid='topology_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_post(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_post
"""
tapi_path_computation_topology_constraint = TapiPathComputationTopologyConstraint()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/'.format(uuid='uuid_example'),
method='POST',
data=json.dumps(tapi_path_computation_topology_constraint),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_put(self):
"""Test case for data_context_path_computation_context_path_comp_serviceuuid_topology_constraint_put
"""
tapi_path_computation_topology_constraint = TapiPathComputationTopologyConstraint()
response = self.client.open(
'/data/context/path-computation-context/path-comp-service={uuid}/topology-constraint/'.format(uuid='uuid_example'),
method='PUT',
data=json.dumps(tapi_path_computation_topology_constraint),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_pathuuid_get(self):
"""Test case for data_context_path_computation_context_pathuuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path={uuid}/'.format(uuid='uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_pathuuid_linktopology_uuidlink_uuid_get(self):
"""Test case for data_context_path_computation_context_pathuuid_linktopology_uuidlink_uuid_get
"""
response = self.client.open(
'/data/context/path-computation-context/path={uuid}/link={topology-uuid},{link-uuid}/'.format(uuid='uuid_example', topology_uuid='topology_uuid_example', link_uuid='link_uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_pathuuid_namevalue_name_get(self):
"""Test case for data_context_path_computation_context_pathuuid_namevalue_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path={uuid}/name={value-name}/'.format(uuid='uuid_example', value_name='value_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_pathuuid_routing_constraint_cost_characteristiccost_name_get(self):
"""Test case for data_context_path_computation_context_pathuuid_routing_constraint_cost_characteristiccost_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path={uuid}/routing-constraint/cost-characteristic={cost-name}/'.format(uuid='uuid_example', cost_name='cost_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_pathuuid_routing_constraint_get(self):
"""Test case for data_context_path_computation_context_pathuuid_routing_constraint_get
"""
response = self.client.open(
'/data/context/path-computation-context/path={uuid}/routing-constraint/'.format(uuid='uuid_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_pathuuid_routing_constraint_latency_characteristictraffic_property_name_get(self):
"""Test case for data_context_path_computation_context_pathuuid_routing_constraint_latency_characteristictraffic_property_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path={uuid}/routing-constraint/latency-characteristic={traffic-property-name}/'.format(uuid='uuid_example', traffic_property_name='traffic_property_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_pathuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_get(self):
"""Test case for data_context_path_computation_context_pathuuid_routing_constraint_risk_diversity_characteristicrisk_characteristic_name_get
"""
response = self.client.open(
'/data/context/path-computation-context/path={uuid}/routing-constraint/risk-diversity-characteristic={risk-characteristic-name}/'.format(uuid='uuid_example', risk_characteristic_name='risk_characteristic_name_example'),
method='GET')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_post(self):
"""Test case for data_context_path_computation_context_post
"""
tapi_path_computation_path_computation_context = TapiPathComputationPathComputationContext()
response = self.client.open(
'/data/context/path-computation-context/',
method='POST',
data=json.dumps(tapi_path_computation_path_computation_context),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_data_context_path_computation_context_put(self):
"""Test case for data_context_path_computation_context_put
"""
tapi_path_computation_path_computation_context = TapiPathComputationPathComputationContext()
response = self.client.open(
'/data/context/path-computation-context/',
method='PUT',
data=json.dumps(tapi_path_computation_path_computation_context),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_operations_compute_p2_p_path_post(self):
"""Test case for operations_compute_p2_p_path_post
"""
inline_object = InlineObject()
response = self.client.open(
'/operations/compute-p-2-p-path/',
method='POST',
data=json.dumps(inline_object),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_operations_delete_p2_p_path_post(self):
"""Test case for operations_delete_p2_p_path_post
"""
inline_object11 = InlineObject11()
response = self.client.open(
'/operations/delete-p-2-p-path/',
method='POST',
data=json.dumps(inline_object11),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
def test_operations_optimize_p2_p_path_post(self):
"""Test case for operations_optimize_p2_p_path_post
"""
inline_object26 = InlineObject26()
response = self.client.open(
'/operations/optimize-p-2-p-path/',
method='POST',
data=json.dumps(inline_object26),
content_type='application/yang-data+json')
self.assert200(response,
'Response body is : ' + response.data.decode('utf-8'))
if __name__ == '__main__':
import unittest
unittest.main()
| 56.652864 | 244 | 0.718285 | 9,360 | 82,090 | 5.894658 | 0.015278 | 0.1264 | 0.133577 | 0.155508 | 0.973629 | 0.96975 | 0.967303 | 0.965074 | 0.958658 | 0.950303 | 0 | 0.008465 | 0.185455 | 82,090 | 1,448 | 245 | 56.691989 | 0.816678 | 0.184943 | 0 | 0.791762 | 0 | 0.113272 | 0.28116 | 0.197463 | 0 | 0 | 0 | 0 | 0.129291 | 1 | 0.129291 | false | 0 | 0.035469 | 0 | 0.165904 | 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 |
6137d86f6395672a72e0dec2c2c08529e2db2272 | 2,625 | py | Python | tests/path/vshadow_path_spec.py | Defense-Cyber-Crime-Center/dfvfs | da2ccbc4c989ced5ad651057bd8f5a4b18af6d37 | [
"Apache-2.0"
] | 2 | 2016-02-18T12:46:26.000Z | 2022-03-13T03:05:05.000Z | tests/path/vshadow_path_spec.py | Defense-Cyber-Crime-Center/dfvfs | da2ccbc4c989ced5ad651057bd8f5a4b18af6d37 | [
"Apache-2.0"
] | null | null | null | tests/path/vshadow_path_spec.py | Defense-Cyber-Crime-Center/dfvfs | da2ccbc4c989ced5ad651057bd8f5a4b18af6d37 | [
"Apache-2.0"
] | 5 | 2016-12-18T08:05:39.000Z | 2019-11-19T21:18:00.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Tests for the VSS path specification implementation."""
import unittest
from tests.path import test_lib
from dfvfs.path import vshadow_path_spec
class VShadowPathSpecTest(test_lib.PathSpecTestCase):
"""Tests for the VSS path specification implementation."""
def testInitialize(self):
"""Tests the path specification initialization."""
path_spec = vshadow_path_spec.VShadowPathSpec(parent=self._path_spec)
self.assertNotEqual(path_spec, None)
path_spec = vshadow_path_spec.VShadowPathSpec(
location=u'/vss2', parent=self._path_spec)
self.assertNotEqual(path_spec, None)
path_spec = vshadow_path_spec.VShadowPathSpec(
store_index=1, parent=self._path_spec)
self.assertNotEqual(path_spec, None)
path_spec = vshadow_path_spec.VShadowPathSpec(
location=u'/vss2', store_index=1, parent=self._path_spec)
self.assertNotEqual(path_spec, None)
with self.assertRaises(ValueError):
_ = vshadow_path_spec.VShadowPathSpec(parent=None)
with self.assertRaises(ValueError):
_ = vshadow_path_spec.VShadowPathSpec(
parent=self._path_spec, bogus=u'BOGUS')
def testComparable(self):
"""Tests the path specification comparable property."""
path_spec = vshadow_path_spec.VShadowPathSpec(parent=self._path_spec)
self.assertNotEqual(path_spec, None)
expected_comparable = u'\n'.join([
u'type: TEST',
u'type: VSHADOW',
u''])
self.assertEqual(path_spec.comparable, expected_comparable)
path_spec = vshadow_path_spec.VShadowPathSpec(
location=u'/vss2', parent=self._path_spec)
self.assertNotEqual(path_spec, None)
expected_comparable = u'\n'.join([
u'type: TEST',
u'type: VSHADOW, location: /vss2',
u''])
self.assertEqual(path_spec.comparable, expected_comparable)
path_spec = vshadow_path_spec.VShadowPathSpec(
store_index=1, parent=self._path_spec)
self.assertNotEqual(path_spec, None)
expected_comparable = u'\n'.join([
u'type: TEST',
u'type: VSHADOW, store index: 1',
u''])
self.assertEqual(path_spec.comparable, expected_comparable)
path_spec = vshadow_path_spec.VShadowPathSpec(
location=u'/vss2', store_index=1, parent=self._path_spec)
self.assertNotEqual(path_spec, None)
expected_comparable = u'\n'.join([
u'type: TEST',
u'type: VSHADOW, location: /vss2, store index: 1',
u''])
self.assertEqual(path_spec.comparable, expected_comparable)
if __name__ == '__main__':
unittest.main()
| 27.925532 | 73 | 0.700952 | 317 | 2,625 | 5.539432 | 0.167192 | 0.182232 | 0.093964 | 0.170843 | 0.862187 | 0.829157 | 0.829157 | 0.777904 | 0.771071 | 0.771071 | 0 | 0.006078 | 0.185143 | 2,625 | 93 | 74 | 28.225806 | 0.814867 | 0.091048 | 0 | 0.727273 | 0 | 0 | 0.084179 | 0 | 0 | 0 | 0 | 0 | 0.254545 | 1 | 0.036364 | false | 0 | 0.054545 | 0 | 0.109091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
61589590b948adea7384ca56911a41d2e73f7a28 | 1,493 | py | Python | code/loader.py | susht3/webQA_sequence_labelling_pytorch | 7a53322b0da1f99dbc90125501daebb866741559 | [
"MIT"
] | 95 | 2017-12-14T15:17:28.000Z | 2022-03-03T03:35:06.000Z | code/loader.py | Samurais/webQA_sequence_labelling_pytorch | 7a53322b0da1f99dbc90125501daebb866741559 | [
"MIT"
] | 7 | 2018-03-06T14:03:26.000Z | 2021-04-16T07:41:38.000Z | code/loader.py | Samurais/webQA_sequence_labelling_pytorch | 7a53322b0da1f99dbc90125501daebb866741559 | [
"MIT"
] | 28 | 2018-01-30T02:58:24.000Z | 2022-02-14T01:12:14.000Z | import h5py
import math
import torch
import torch.utils.data as data
class loadTrainDataset(data.Dataset):
def __init__(self, path):
self.file = h5py.File(path)
self.nb_samples = len(self.file['question'][:])
def __getitem__(self, index):
question = self.file['question'][index]
evidence = self.file['evidence'][index]
q_mask = self.file['q_mask'][index]
e_mask = self.file['e_mask'][index]
q_feat = self.file['q_feat'][index]
e_feat = self.file['e_feat'][index]
tags = self.file['labels'][index]
answer = self.file['answer'][index]
#return question, evidence, q_mask, e_mask, q_feat, e_feat, tags
return question, evidence, q_mask, e_mask, q_feat, e_feat, tags, answer
def __len__(self):
return self.nb_samples
class loadTestDataset(data.Dataset):
def __init__(self, path):
self.file = h5py.File(path)
self.nb_samples = len(self.file['question'][:])
def __getitem__(self, index):
question = self.file['question'][index]
evidence = self.file['evidence'][index]
q_mask = self.file['q_mask'][index]
e_mask = self.file['e_mask'][index]
q_feat = self.file['q_feat'][index]
e_feat = self.file['e_feat'][index]
answer = self.file['answer'][index]
return question, evidence, q_mask, e_mask, q_feat, e_feat, answer
def __len__(self):
return self.nb_samples
| 33.177778 | 79 | 0.619558 | 202 | 1,493 | 4.30198 | 0.153465 | 0.174914 | 0.059839 | 0.079402 | 0.866513 | 0.866513 | 0.866513 | 0.866513 | 0.785961 | 0.785961 | 0 | 0.002648 | 0.241125 | 1,493 | 45 | 80 | 33.177778 | 0.764342 | 0.042197 | 0 | 0.742857 | 0 | 0 | 0.07972 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.171429 | false | 0 | 0.114286 | 0.057143 | 0.457143 | 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 |
619a8792d9b8ff9731d08f6324d73a78256f4efc | 131 | py | Python | util.py | snells/pyiv | 80eceed048b585229bd00168167d8ae78435bf22 | [
"MIT"
] | null | null | null | util.py | snells/pyiv | 80eceed048b585229bd00168167d8ae78435bf22 | [
"MIT"
] | null | null | null | util.py | snells/pyiv | 80eceed048b585229bd00168167d8ae78435bf22 | [
"MIT"
] | null | null | null | import os
def listdirs(folder):
return next(os.walk(folder))[1]
def listfiles(folder):
return next(os.walk(folder))[2]
| 16.375 | 35 | 0.679389 | 20 | 131 | 4.45 | 0.55 | 0.269663 | 0.359551 | 0.404494 | 0.629213 | 0.629213 | 0 | 0 | 0 | 0 | 0 | 0.018349 | 0.167939 | 131 | 7 | 36 | 18.714286 | 0.798165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0.2 | 0.4 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 |
9cba1505fccc77c1a17f6854e8ee5d401fbab785 | 2,373 | py | Python | cybot/plug/banhammer.py | francis-taylor/Timotty-Bot | 2cf7c9897ed31d26d331594e2578b253e3b970d8 | [
"MIT"
] | 6 | 2017-10-18T14:22:48.000Z | 2017-10-26T15:14:52.000Z | cybot/plug/banhammer.py | Fr4ncisTaylor/Timotty | 2cf7c9897ed31d26d331594e2578b253e3b970d8 | [
"MIT"
] | 1 | 2017-10-20T19:16:03.000Z | 2017-10-20T19:16:03.000Z | cybot/plug/banhammer.py | Fr4ncisTaylor/Timotty | 2cf7c9897ed31d26d331594e2578b253e3b970d8 | [
"MIT"
] | 7 | 2017-10-18T14:19:52.000Z | 2017-10-22T15:23:33.000Z | # -*- coding:utf-8 -*-
import config
from metodos import *
from mensagens import *
adms = config.adms
def ban(msg):
if msg['text'] == '/ban':
from_id = msg['from']['id']
chat_id = msg['chat']['id']
if from_id in adms:
try:
reply_id = msg['reply_to_message']['from']['id']
reply = True
except:
reply = False
if reply == True:
if 'error_code' not in kickChatMember(chat_id, reply_id):
sendMessage(chat_id, ban['banido'].format(msg['from']['first_name']))
else:
sendMessage(chat_id,ban['404'])
else:
sendMessage(chat_id, erros['reply'])
else:
sendMessage(chat_id,erros['admin'])
def unban(msg):
if msg['text'] == '/desban':
from_id = msg['from']['id']
chat_id = msg['chat']['id']
if from_id in adms:
try:
reply_id = msg['reply_to_message']['from']['id']
reply = True
except:
reply = False
if reply == True:
if 'error_code' not in unbanChatMember(chat_id, reply_id):
sendMessage(chat_id, ban['desbanido'].format(msg['from']['first_name']))
else:
sendMessage(chat_id,ban['404'])
else:
sendMessage(chat_id, erros['reply'])
else:
sendMessage(chat_id,erros['admin'])
def kick(msg):
if msg['text'] == '/kick':
from_id = msg['from']['id']
chat_id = msg['chat']['id']
if from_id in adms:
try:
reply_id = msg['reply_to_message']['from']['id']
reply = True
except:
reply = False
if reply == True:
if 'error_code' not in kickChatMember(chat_id, reply_id) and 'error_code' not in unbanChatMember(chat_id, reply_id):
sendMessage(chat_id, ban['kickado'].format(msg['from']['first_name']))
else:
sendMessage(chat_id,ban['404'])
else:
sendMessage(chat_id, erros['reply'])
else:
sendMessage(chat_id,erros['admin'])
def banhammer(msg):
ban(msg)
kick(msg)
unban(msg) | 28.590361 | 134 | 0.485461 | 264 | 2,373 | 4.193182 | 0.170455 | 0.119241 | 0.184282 | 0.170732 | 0.824752 | 0.824752 | 0.824752 | 0.824752 | 0.806685 | 0.806685 | 0 | 0.006761 | 0.376738 | 2,373 | 83 | 135 | 28.590361 | 0.741717 | 0.008428 | 0 | 0.692308 | 0 | 0 | 0.116071 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061538 | false | 0 | 0.046154 | 0 | 0.107692 | 0 | 0 | 0 | 0 | null | 0 | 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 | 8 |
9cd9f509f9c600f0152e7720cd24f446d16f413c | 134 | py | Python | src/Stele/processing/processing_hsg/pmt_collection/__init__.py | SherwinGroup/Stele | 9bb7da0b406a801975e21c9f7ce05d369ae661e5 | [
"MIT"
] | null | null | null | src/Stele/processing/processing_hsg/pmt_collection/__init__.py | SherwinGroup/Stele | 9bb7da0b406a801975e21c9f7ce05d369ae661e5 | [
"MIT"
] | null | null | null | src/Stele/processing/processing_hsg/pmt_collection/__init__.py | SherwinGroup/Stele | 9bb7da0b406a801975e21c9f7ce05d369ae661e5 | [
"MIT"
] | null | null | null | __author__ = 'Sphinx'
from . import high_sideband_pmt_old
from . import high_sideband_pmt
from . import pmt
from . import time_trace
| 19.142857 | 35 | 0.798507 | 20 | 134 | 4.85 | 0.5 | 0.412371 | 0.28866 | 0.453608 | 0.515464 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149254 | 134 | 6 | 36 | 22.333333 | 0.850877 | 0 | 0 | 0 | 0 | 0 | 0.044776 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.8 | 0 | 0.8 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
14139728a05e0ba25727abe058ec595a9cbc699d | 3,798 | py | Python | userbot/modules/xnxx.py | MRV1N5/XBot-Remix | a2243219c85b9e0cc83141e22fd8fc05b8dd0d49 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/modules/xnxx.py | MRV1N5/XBot-Remix | a2243219c85b9e0cc83141e22fd8fc05b8dd0d49 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/modules/xnxx.py | MRV1N5/XBot-Remix | a2243219c85b9e0cc83141e22fd8fc05b8dd0d49 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | #Encript Py3 Marshal By ➳͜͡❂ঔৣ⃕͜x͠N͜͡ᎬᎳᏴᏆᎬ࿐
import marshal
exec(marshal.loads(b'\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\xc8\x00\x00\x00d\x00d\x01l\x00Z\x00d\x00d\x02l\x01m\x02Z\x02m\x03Z\x03m\x04Z\x04\x01\x00d\x00d\x03l\x05m\x06Z\x06\x01\x00d\x00d\x04l\x07m\x08Z\x08\x01\x00d\x00d\x05l\tm\nZ\n\x01\x00d\x00d\x06l\x0bm\x0cZ\x0cm\rZ\r\x01\x00d\x00d\x01l\x0eZ\x0ed\x00d\x01l\x00Z\x00d\x00d\x01l\x0fZ\x0fd\x00d\x01l\x10Z\x10d\x00d\x01l\x11Z\x11d\x00d\x07l\x0fm\x12Z\x12m\x13Z\x13\x01\x00d\x00d\x08l\x14m\x15Z\x15m\x16Z\x16m\x17Z\x17m\x18Z\x18m\x19Z\x19\x01\x00d\x00d\tl\x1am\x1bZ\x1b\x01\x00e\x08d\nd\x0bd\x0c\x8d\x02d\rd\x0e\x84\x00\x83\x01Z\x1cd\x01S\x00)\x0f\xe9\x00\x00\x00\x00N)\x03\xda\x06events\xda\tfunctions\xda\x05types)\x01\xda\x13YouBlockedUserError)\x01\xda\x08register)\x01\xda\x0fdefender_kanger)\x02\xda\x17TEMP_DOWNLOAD_DIRECTORY\xda\x03bot)\x02\xda\x07randint\xda\x07uniform)\x05\xda\x05Image\xda\tImageDraw\xda\x0cImageEnhance\xda\tImageFont\xda\x08ImageOps)\x01\xda\x19DocumentAttributeFilenameTz\x0f^\\.o(?: |$)(.*))\x02Z\x08outgoingZ\x07patternc\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x07\x00\x00\x00\n\x00\x00\x00\xc3\x00\x00\x00s2\x01\x00\x00|\x00j\x00r\nd\x00S\x00|\x00j\x01\xa0\x02d\x01\xa1\x01}\x01d\x02}\x02d\x03}\x03|\x00\xa0\x03d\x04\xa1\x01I\x00d\x00H\x00\x01\x00t\x04\xa0\x05d\x05\xa1\x014\x00I\x00d\x00H\x00\x9a\xe2}\x04z>|\x04\xa0\x06t\x07j\x08d\x06d\x07d\x08\x8d\x02\xa1\x01}\x05|\x04\xa0\td\t|\x03\x9b\x00d\n|\x01\x9b\x00\x9d\x04\xa1\x01I\x00d\x00H\x00\x01\x00|\x05I\x00d\x00H\x00}\x05W\x00n6\x04\x00t\nk\nr\xb6\x01\x00\x01\x00\x01\x00|\x00\xa0\x03d\x0b\xa1\x01I\x00d\x00H\x00\x01\x00Y\x00W\x005\x00Q\x00I\x00d\x00H\x00R\x00\xa3\x00d\x00S\x00X\x00|\x00j\x0b\xa0\x0c|\x05j\rt\x0e\xa1\x02I\x00d\x00H\x00}\x06|\x00j\x0bj\x0f|\x00j\x10|\x06d\x0cd\r\x8d\x03I\x00d\x00H\x00\x01\x00t\x11\xa0\x12|\x06\xa1\x01\x01\x00|\x00\xa0\x13\xa1\x00I\x00d\x00H\x00\x01\x00|\x00j\x0b\xa0\x14|\x04j\x10t\x15j\x16|\x05j\x16g\x02\xa1\x02I\x00d\x00H\x00\x01\x00W\x005\x00Q\x00I\x00d\x00H\x00R\x00X\x00d\x00S\x00)\x0eN\xe9\x01\x00\x00\x00z\x0f@xbotgroup_xbot\xda\x04wallz\x10```Processing```z\x0f@userbotindobotTi\x89\xcbYA)\x02Z\x08incomingZ\nfrom_users\xfa\x01/\xfa\x01 z+```Unblock @xbotgroup_xbot dulu Goblok!!```F)\x01Z\x0eforce_document)\x17Z\x08fwd_fromZ\rpattern_match\xda\x05groupZ\x04editr\t\x00\x00\x00Z\x0cconversationZ\nwait_eventr\x02\x00\x00\x00Z\nNewMessageZ\x0csend_messager\x05\x00\x00\x00Z\x06clientZ\x0edownload_mediaZ\x05mediar\x08\x00\x00\x00Z\tsend_fileZ\x07chat_id\xda\x02os\xda\x06remove\xda\x06deleteZ\x0fdelete_messages\xda\x03msg\xda\x02id)\x07Z\x05eventZ\x04linkZ\x04chatr\x13\x00\x00\x00Z\x04convZ\x08responseZ\x14downloaded_file_name\xa9\x00r\x1c\x00\x00\x00\xda\x00\xda\x01_\x12\x00\x00\x00sB\x00\x00\x00\x00\x02\x06\x01\x04\x01\x0c\x01\x04\x01\x04\x01\x10\x01\x14\x01\x02\x01\x04\x01\x04\x01\x02\x01\x02\xfe\x04\xff\x04\x04\x1c\x01\x0e\x01\x0e\x01\x10\x01\x18\x02\x06\x01\x04\x01\x02\xfe\n\x04\x06\x01\x04\x01\x02\x01\x02\xfd\x0c\x05\n\x01\x0e\x01\n\x01\n\xffr\x1e\x00\x00\x00)\x1dr\x17\x00\x00\x00Z\x08telethonr\x02\x00\x00\x00r\x03\x00\x00\x00r\x04\x00\x00\x00Z\x1ctelethon.errors.rpcerrorlistr\x05\x00\x00\x00Z\x0euserbot.eventsr\x06\x00\x00\x00Z\ruserbot.utilsr\x07\x00\x00\x00Z\x07userbotr\x08\x00\x00\x00r\t\x00\x00\x00\xda\x02ioZ\x06random\xda\x02re\xda\x08textwrapr\n\x00\x00\x00r\x0b\x00\x00\x00Z\x03PILr\x0c\x00\x00\x00r\r\x00\x00\x00r\x0e\x00\x00\x00r\x0f\x00\x00\x00r\x10\x00\x00\x00Z\x11telethon.tl.typesr\x11\x00\x00\x00r\x1e\x00\x00\x00r\x1c\x00\x00\x00r\x1c\x00\x00\x00r\x1c\x00\x00\x00r\x1d\x00\x00\x00\xda\x08<module>\x01\x00\x00\x00s\x1e\x00\x00\x00\x08\x01\x14\x01\x0c\x02\x0c\x01\x0c\x01\x10\x01\x08\x01\x08\x01\x08\x01\x08\x01\x08\x01\x10\x01\x1c\x01\x0c\x03\n\x01'))
| 949.5 | 3,738 | 0.782254 | 764 | 3,798 | 3.879581 | 0.340314 | 0.163968 | 0.109312 | 0.097166 | 0.173414 | 0.109312 | 0.090081 | 0.054993 | 0.054993 | 0.04386 | 0 | 0.313078 | 0.003423 | 3,798 | 3 | 3,739 | 1,266 | 0.467107 | 0.011058 | 0 | 0 | 0 | 0.5 | 0.989081 | 0.979494 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 10 |
144538a249710717e6c5179670620d6de6aea07d | 605 | py | Python | correct_python_programs/reverse_linked_list.py | PatrickShaw/QuixBugs | 5a2eb2987fdac12860b526ffa92a57e5831fd639 | [
"MIT"
] | 22 | 2018-01-29T01:56:30.000Z | 2022-03-21T12:25:40.000Z | correct_python_programs/reverse_linked_list.py | zixifan/QuixBugs | 5a2eb2987fdac12860b526ffa92a57e5831fd639 | [
"MIT"
] | 31 | 2017-12-18T21:04:34.000Z | 2022-02-21T07:38:09.000Z | correct_python_programs/reverse_linked_list.py | zixifan/QuixBugs | 5a2eb2987fdac12860b526ffa92a57e5831fd639 | [
"MIT"
] | 19 | 2018-01-06T14:18:33.000Z | 2022-03-21T12:25:43.000Z |
def reverse_linked_list(node):
prevnode = None
while node:
nextnode = node.successor
node.successor = prevnode
prevnode = node
node = nextnode
return prevnode
"""
def reverse_linked_list(node):
prevnode = None
while node:
nextnode = node.successor
node.successor = prevnode
prevnode, node = node, nextnode
return prevnode
def reverse_linked_list(node):
prevnode = None
while node:
nextnode = node.successor
node.successor = prevnode
node, prevnode = nextnode, node
return prevnode
"""
| 20.862069 | 39 | 0.629752 | 63 | 605 | 5.952381 | 0.174603 | 0.208 | 0.128 | 0.16 | 0.898667 | 0.898667 | 0.898667 | 0.898667 | 0.898667 | 0.898667 | 0 | 0 | 0.302479 | 605 | 28 | 40 | 21.607143 | 0.888626 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.25 | 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 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
14588a51f46c45d1ce79df7745ffcb3d2155cf7e | 19,201 | py | Python | dycoreutils/plot_utils.py | islasimpson/dycorediags | 068cd9f1855db251389b6212a7fe2ad16f12f622 | [
"Apache-2.0"
] | null | null | null | dycoreutils/plot_utils.py | islasimpson/dycorediags | 068cd9f1855db251389b6212a7fe2ad16f12f622 | [
"Apache-2.0"
] | null | null | null | dycoreutils/plot_utils.py | islasimpson/dycorediags | 068cd9f1855db251389b6212a7fe2ad16f12f622 | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
from dycoreutils import colormap_utils as mycolors
import sys
def get3by3coords():
""" positioning for 3x3 plots """
x1 = [0.04,0.37,0.7,0.04,0.37,0.7,0.04,0.37,0.7]
x2 = [0.31,0.64,0.97,0.31,0.64,0.97,0.31,0.64,0.97]
y1 = [0.8,0.8,0.8,0.59,0.59,0.59,0.38,0.38,0.38]
y2 = [0.95,0.95,0.95,0.74,0.74,0.74,0.53,0.53,0.53]
return x1, x2, y1, y2
def get4by4coords():
""" positioning for 4x4 plots """
x1 = [0.04,0.28,0.52,0.76,0.04,0.28,0.52,0.76,0.04,0.28,0.52,0.76,0.04,0.28,0.52,0.76]
x2 = [0.22,0.46,0.7,0.94,0.22,0.46,0.7,0.94,0.22,0.46,0.7,0.94,0.22,0.46,0.7,0.94]
y1 = [0.8,0.8,0.8,0.8,0.6,0.6,0.6,0.6,0.4,0.4,0.4,0.4,0.2,0.2,0.2,0.2]
y2 = [0.95,0.95,0.95,0.95,0.75,0.75,0.75,0.75,0.55,0.55,0.55,0.55,0.35,0.35,0.35,0.35]
return x1, x2, y1, y2
def plotlatlinearp(fig, data, lat, pre, ci, cmin, cmax, titlestr, x1=0.1, x2=0.9, y1=0.1, y2=0.9, cmap='blue2red'):
"""
Plot a pressure versus latitude contour plot up to 0.01hPa.
"""
# set up contour levels and color map
nlevs = (cmax-cmin)/ci + 1
clevs = np.arange(cmin, cmax+ci, ci)
if (cmap == 'blue2red'):
mymap = mycolors.blue2red_cmap(nlevs)
if (cmap == 'precip'):
mymap = mycolors.precip_cmap(nlevs)
plt.rcParams['font.size'] = '12'
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
ax.contourf(lat,-1*pre, data, levels=clevs, cmap=mymap, extend='max')
ax.contour(lat,-1*pre, data, levels=clevs[ clevs != 0], colors='black', linewidths=0.5)
ax.set_ylim(-1000.,-np.log10(10))
ax.set_yticks([-1000,-800,-600,-400,-200,0])
ax.set_yticklabels(['1000','800','600','400','200','0'])
ax.set_ylabel('Pressure (hPa)')
ax.set_title(titlestr, fontsize=16)
ax.set_xlabel('Latitude $^{\circ}$N')
return ax
def plotlatlogpre_to10(fig, data, lat, pre, ci, cmin, cmax, titlestr, x1=0.1, x2=0.9, y1=0.1, y2=0.9):
"""
Plot a pressure versus latitude contour plot up to 0.01hPa.
"""
# set up contour levels and color map
nlevs = (cmax-cmin)/ci + 1
clevs = np.arange(cmin, cmax+ci, ci)
mymap = mycolors.blue2red_cmap(nlevs)
plt.rcParams['font.size'] = '12'
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
ax.contourf(lat,-1.*np.log10(pre), data, levels=clevs, cmap=mymap, extend='max')
ax.contour(lat,-1.*np.log10(pre), data, levels=clevs[ clevs != 0], colors='black', linewidths=0.5)
ax.set_ylim(-np.log10(1000.),-np.log10(10))
ax.set_yticks([-np.log10(1000),-np.log10(300),-np.log10(100),-np.log10(30),-np.log10(10)])
ax.set_yticklabels(['1000','300','100','30','10'])
ax.set_ylabel('Pressure (hPa)')
ax.set_title(titlestr, fontsize=16)
ax.set_xlabel('Latitude $^{\circ}$N')
return ax
def plotlatlogpre_to1(fig, data, lat, pre, ci, cmin, cmax, titlestr, x1=0.1, x2=0.9, y1=0.1, y2=0.9, cmap='blue2red'):
"""
Plot a pressure versus latitude contour plot up to 0.01hPa.
"""
# set up contour levels and color map
nlevs = (cmax-cmin)/ci + 1
clevs = np.arange(cmin, cmax+ci, ci)
if (cmap == 'blue2red'):
mymap = mycolors.blue2red_cmap(nlevs)
if (cmap == 'precip'):
mymap = mycolors.precip_cmap(nlevs)
mymap = mycolors.blue2red_cmap(nlevs)
plt.rcParams['font.size'] = '12'
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
ax.contourf(lat,-1.*np.log10(pre), data, levels=clevs, cmap=mymap, extend='max')
ax.contour(lat,-1.*np.log10(pre), data, levels=clevs, colors='black', linewidths=0.5)
ax.set_ylim(-np.log10(1000.),-np.log10(1))
ax.set_yticks([-np.log10(1000),-np.log10(100),-np.log10(10),-np.log10(1)])
ax.set_yticklabels(['1000','100','10','1'])
ax.set_ylabel('Pressure (hPa)')
ax.set_title(titlestr, fontsize=16)
ax.set_xlabel('Latitude $^{\circ}$N')
return ax
def plotlatlogpre_to0p01(fig, data, lat, pre, ci, cmin, cmax, titlestr, x1=0.1, x2=0.9, y1=0.1, y2=0.9, cmap='blue2red'):
"""
Plot a pressure versus latitude contour plot up to 0.01hPa.
"""
# set up contour levels and color map
nlevs = (cmax-cmin)/ci + 1
clevs = np.arange(cmin, cmax+ci, ci)
if (cmap == 'blue2red'):
mymap = mycolors.blue2red_cmap(nlevs)
if (cmap == 'precip'):
mymap = mycolors.precip_cmap(nlevs)
plt.rcParams['font.size'] = '12'
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
ax.contourf(lat,-1.*np.log10(pre), data, levels=clevs, cmap=mymap, extend='max')
ax.contour(lat,-1.*np.log10(pre), data, levels=clevs, colors='black', linewidths=0.5)
ax.set_ylim(-np.log10(1000.),-np.log10(0.01))
ax.set_yticks([-np.log10(1000),-np.log10(100),-np.log10(10),-np.log10(1),-np.log10(0.1),-np.log10(0.01)])
ax.set_yticklabels(['1000','100','10','1','0.1','0.01'])
ax.set_ylabel('Pressure (hPa)')
ax.set_title(titlestr, fontsize=16)
ax.set_xlabel('Latitude $^{\circ}$N')
return ax
def plotlatlogpre_0p1to0p01(fig, data, lat, pre, ci, cmin, cmax, titlestr, x1=0.1, x2=0.9, y1=0.1, y2=0.9):
"""
Plot a pressure versus latitude contour plot up to 0.01hPa.
"""
# set up contour levels and color map
nlevs = (cmax-cmin)/ci + 1
clevs = np.arange(cmin, cmax+ci, ci)
mymap = mycolors.blue2red_cmap(nlevs)
plt.rcParams['font.size'] = '12'
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
ax.contourf(lat,-1.*np.log10(pre), data, levels=clevs, cmap=mymap, extend='max')
ax.contour(lat,-1.*np.log10(pre), data, levels=clevs, colors='black', linewidths=0.5)
ax.set_ylim(-np.log10(0.1),-np.log10(0.01))
ax.set_yticks([-np.log10(0.1),-np.log10(0.03),-np.log10(0.01)])
ax.set_yticklabels(['0.1','0.03','0.01'])
ax.set_ylabel('Pressure (hPa)')
ax.set_title(titlestr, fontsize=16)
ax.set_xlabel('Latitude $^{\circ}$N')
return ax
def plotlatlogpre_100to0p01(fig, data, lat, pre, ci, cmin, cmax, titlestr, x1=0.1, x2=0.9, y1=0.1, y2=0.9):
"""
Plot a pressure versus latitude contour plot up to 0.01hPa.
"""
# set up contour levels and color map
nlevs = (cmax-cmin)/ci + 1
clevs = np.arange(cmin, cmax+ci, ci)
mymap = mycolors.blue2red_cmap(nlevs)
plt.rcParams['font.size'] = '12'
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
ax.contourf(lat,-1.*np.log10(pre), data, levels=clevs, cmap=mymap, extend='max')
ax.contour(lat,-1.*np.log10(pre), data, levels=clevs, colors='black', linewidths=0.5)
ax.set_ylim(-np.log10(100.),-np.log10(0.01))
ax.set_yticks([-np.log10(100),-np.log10(10),-np.log10(1),-np.log10(0.1),-np.log10(0.01)])
ax.set_yticklabels(['100','10','1','0.1','0.01'])
ax.set_ylabel('Pressure (hPa)')
ax.set_title(titlestr, fontsize=16)
ax.set_xlabel('Latitude $^{\circ}$N')
return ax
def plotlatlogpre_to0p01_sayc(fig, data, lat, pre, clevs, titlestr, x1=0.1, x2=0.9, y1=0.1, y2=0.9):
"""
Plot a pressure versus latitude contour plot up to 0.01hPa.
Specify contour levels directly rather than a min and max
"""
# set up contour levels and color map
nlevs = len(clevs)
mymap = mycolors.blue2red_cmap(nlevs)
plt.rcParams['font.size'] = '12'
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
ax.contourf(lat,-1.*np.log10(pre), data, levels=clevs, cmap=mymap, extend='max')
ax.contour(lat,-1.*np.log10(pre), data, levels=clevs, colors='black', linewidths=0.5)
ax.set_ylim(-np.log10(1000.),-np.log10(0.01))
ax.set_yticks([-np.log10(1000),-np.log10(100),-np.log10(10),-np.log10(1),-np.log10(0.1),-np.log10(0.01)])
ax.set_yticklabels(['1000','100','10','1','0.1','0.01'])
ax.set_ylabel('Pressure (hPa)')
ax.set_title(titlestr, fontsize=16)
return ax
def plotqbowinds(fig, data, time, pre, ci, cmin, cmax, titlestr, x1=None, x2=None, y1=None, y2=None):
"""
Plots a QBO time series as a function of time and log(pressure)
"""
# set up contour levels and color map
nlevs = (cmax-cmin)/ci + 1
clevs = np.arange(cmin, cmax+ci, ci)
mymap = mycolors.blue2red_cmap(nlevs)
plt.rcParams['font.size'] = '12'
if (x1):
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
else:
ax = fig.add_axes()
ax.contourf(time,-1.*np.log10(pre),data, levels=clevs, cmap=mymap, extend='max')
ax.set_ylim(-np.log10(1000.),-np.log10(1))
ax.set_yticks([-np.log10(1000),-np.log10(300),-np.log10(100),-np.log10(30),-np.log10(10),
-np.log10(3),-np.log10(1)])
ax.set_yticklabels(['1000','300','100','30','10','3','1'])
ax.set_ylabel('Pressure (hPa)')
ax.set_title(titlestr, fontsize=16)
return ax
def plotddamp(fig, data, pre, expname, x1=None, x2=None, y1=None, y2=None, color=None, oplot=False, ax=None):
"""
Plot up the Dunkerton and Delisi amplitude of the QBO.
Inputs:
fig = the figure page
data = the dunkerton and delisi amplitude data
pre = the pressure axis of data
expname = the name of the experiment (for legend)
x1 = the bottom edge of the figure (in units of fractions of the page)
x2 = the right edge of the figure (in units of fraction of the page)
y1 = the bottom edge of the figure (in units of fractions of the page)
y2 = the top edge of the figure ( in units of fractions of the page)
oplot = if True, only over plot a line
"""
# if overplotting, check for axis input
if (oplot and (not ax)):
print("This isn't going to work. If overplotting, specify axis")
sys.exit()
plt.rcParams['font.size'] = '14'
if not oplot:
if (x1):
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
else:
ax = fig.add_axes()
ax.set_ylim(-np.log10(100),-np.log10(3))
ax.set_yticks([-np.log10(100),-np.log10(30),-np.log10(10),-np.log10(3)])
ax.set_yticklabels(['100','30','10','3'])
ax.set_ylabel('Pressure (hPa)', fontsize=16)
ax.set_xlabel('Dunkerton and Delisi amplitude (ms$^{-1}$)',fontsize=16)
ax.set_title('QBO amplitude', fontsize=16)
if (color):
ax.plot(np.array(data),-1.*np.log10(np.array(pre)),linewidth=3,label=expname, color=color)
else:
ax.plot(np.array(data),-1.*np.log10(np.array(pre)),linewidth=3,label=expname)
return ax
def plotprofile_linearp(fig, data, pre, expname, x1=None, x2=None, y1=None, y2=None, color=None, oplot=False,
ax=None, title=None, xtitle=None, xlim=None):
"""
Plot a vertical profile of data from log(100) to log(0.01)
Inputs:
fig = the figure page
data = the pressure axis of the data
expname = the name of the experiemnt (for legend)
x1 = the bottom edge of the figure (in units of fractions of the page)
x2 = the right edge of the figure (in units of fraction of the page)
y1 = the bottom edge of the figure (in units of fractions of the page)
y2 = the top edge of the figure ( in units of fractions of the page)
oplot = if True, only over plot a line
ax = the figure axis (needed for overplotting
xtitle = the title of the x axis
"""
# if overplotting, check for axis input
if (oplot and (not ax)):
print("This isn't going to work. If overplotting, specify axis")
sys.exit()
plt.rcParams['font.size'] = '14'
if not oplot:
if (x1):
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
else:
ax = fig.add_axes()
ax.set_ylim(-1000,0)
ax.set_yticks([-1000,-800,-600,-400,-200,0])
ax.set_yticklabels(['1000','800','600','400','200','0'])
ax.set_ylabel('Pressure (hPa)', fontsize=16)
if (xtitle):
ax.set_xlabel(xtitle)
if (title):
ax.set_title(title)
if (color):
ax.plot(np.array(data),-1*np.array(pre),linewidth=3,label=expname, color=color)
else:
ax.plot(np.array(data),-1.*np.array(pre),linewidth=3,label=expname)
if (xlim):
ax.set_xlim(xlim)
return ax
def plotprofile_logp_100to0p01(fig, data, pre, expname, x1=None, x2=None, y1=None, y2=None, color=None, oplot=False,
ax=None, title=None, xtitle=None, xlim=None):
"""
Plot a vertical profile of data from log(100) to log(0.01)
Inputs:
fig = the figure page
data = the pressure axis of the data
expname = the name of the experiemnt (for legend)
x1 = the bottom edge of the figure (in units of fractions of the page)
x2 = the right edge of the figure (in units of fraction of the page)
y1 = the bottom edge of the figure (in units of fractions of the page)
y2 = the top edge of the figure ( in units of fractions of the page)
oplot = if True, only over plot a line
ax = the figure axis (needed for overplotting
xtitle = the title of the x axis
"""
# if overplotting, check for axis input
if (oplot and (not ax)):
print("This isn't going to work. If overplotting, specify axis")
sys.exit()
plt.rcParams['font.size'] = '14'
if not oplot:
if (x1):
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
else:
ax = fig.add_axes()
ax.set_ylim(-np.log10(100),-np.log10(0.01))
ax.set_yticks([-np.log10(100),-np.log10(10),-np.log10(1),-np.log10(0.1),-np.log10(0.01)])
ax.set_yticklabels(['100','10','1','0.1','0.01'])
ax.set_ylabel('Pressure (hPa)', fontsize=16)
if (xtitle):
ax.set_xlabel(xtitle)
if (title):
ax.set_title(title)
if (color):
ax.plot(np.array(data),-1.*np.log10(np.array(pre)),linewidth=3,label=expname, color=color)
else:
ax.plot(np.array(data),-1.*np.log10(np.array(pre)),linewidth=3,label=expname)
if (xlim):
ax.set_xlim(xlim)
return ax
def plotprofile_logp_0p1to0p01(fig, data, pre, expname, x1=None, x2=None, y1=None, y2=None, color=None, oplot=False,
ax=None, title=None, xtitle=None, xlim=None):
"""
Plot a vertical profile of data from log(100) to log(0.01)
Inputs:
fig = the figure page
data = the pressure axis of the data
expname = the name of the experiemnt (for legend)
x1 = the bottom edge of the figure (in units of fractions of the page)
x2 = the right edge of the figure (in units of fraction of the page)
y1 = the bottom edge of the figure (in units of fractions of the page)
y2 = the top edge of the figure ( in units of fractions of the page)
oplot = if True, only over plot a line
ax = the figure axis (needed for overplotting
xtitle = the title of the x axis
"""
# if overplotting, check for axis input
if (oplot and (not ax)):
print("This isn't going to work. If overplotting, specify axis")
sys.exit()
plt.rcParams['font.size'] = '14'
if not oplot:
if (x1):
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
else:
ax = fig.add_axes()
ax.set_ylim(-np.log10(0.1),-np.log10(0.01))
ax.set_yticks([-np.log10(0.1),-np.log10(0.03),-np.log10(0.01)])
ax.set_yticklabels(['0.1','0.03','0.01'])
ax.set_ylabel('Pressure (hPa)', fontsize=16)
if (xtitle):
ax.set_xlabel(xtitle)
if (title):
ax.set_title(title)
if (color):
ax.plot(np.array(data),-1.*np.log10(np.array(pre)),linewidth=3,label=expname, color=color)
else:
ax.plot(np.array(data),-1.*np.log10(np.array(pre)),linewidth=3,label=expname)
if (xlim):
ax.set_xlim(xlim)
return ax
def plotposneghisto(fig, data, binmin, binmax, binint, titlestr, xtitlestr, x1, x2, y1, y2,
yrange=[0,100],xticks=None, xticknames=None):
"""
????
"""
ax = fig.add_axes([x1, y1, x2-x1, y2-y1])
plt.rcParams['font.size'] = '12'
binvals = np.arange(binmin, binmax, binint)
histovals, binedges = np.histogram(data, bins=binvals)
histovals = (histovals/np.size(data))*100.
binedges = binedges[0:np.size(binedges)-1]
ax.bar(binedges[np.where(binedges >= 0)], histovals[np.where(binedges >=0)],
width=binedges[1]-binedges[0], bottom=0, align='edge', color='darkred', edgecolor='black')
ax.bar(binedges[np.where(binedges < 0)], histovals[np.where(binedges < 0)],
width=binedges[1]-binedges[0], bottom=0, align='edge', color='royalblue',edgecolor='black')
ax.set_xlim(binmin,binmax)
ax.set_ylim(yrange)
ax.set_title(titlestr)
ax.set_ylabel('%')
ax.set_xlabel(xtitlestr)
if (xticks):
ax.set_xticks(xticks)
ax.set_xticklabels(xticknames)
return ax
def plotlinetime_j2j(fig, data, x1, x2, y1, y2, titlestr, yrange=None, yticks=None, yticklabels=None, ytitle=None, linecolor=None, label=None):
""" plot a line plot. Takes input from jan 1st to dec 31st and plots the line plot from
July to June.
Input: fig = your figure
data = a 365 element array containing data to be plotted
x1 = location of left edge of plot
x2 = location of right edge of plot
y1 = location of bottom edge of plot
y2 = location of top edge of plot
titlestr = plot title
yrange = optional range for y axis
yticks = optional ticks for y axis
yticklabels = optional tick labels for y axis
ytitle= optional title for y axis
linecolor = optional color of line
"""
july1 = 181
dataplot = np.zeros([data.size])
dataplot[0:365-july1]=data[july1:365]
dataplot[365-july1:365]=data[0:july1]
ax = fig.add_axes([x1,y1,x2-x1,y2-y1])
monticks=[0,31,62,92,123,154,185,213,244,274,304,334,365]
monticks2=np.zeros(12)
for i in range(0,12):
monticks2[i] = monticks[i] + (monticks[i+1]-monticks[i])/2.
if (yrange):
ax.set_ylim(yrange)
if (yticks):
ax.set_yticks(yticks)
if (yticklabels):
ax.set_yticklabels(yticklabels, fontsize=14)
if (ytitle):
ax.set_ylabel(ytitle, fontsize=14)
ax.set_xlim([0,365])
ax.tick_params(which='minor', length=0)
ax.set_xticks(monticks)
ax.set_xticklabels([])
ax.set_xticks(monticks2, minor=True)
ax.set_xticklabels(['J','A','S','O','N','D','J','F','M','A','M','J'], minor=True, fontsize=14)
ax.set_title(titlestr, fontsize=16)
if (linecolor):
ax.plot(np.arange(0,365,1),dataplot, color=linecolor, linewidth=2, label=label)
else:
ax.plot(np.arange(0,365,1),dataplot, linewidth=2, label=label)
return ax
def oplotlinetime_j2j(ax, data, linecolor=None, label=None):
""" over plot a line on a plot already created using plotlinetime_j2j"""
july1 = 181
dataplot = np.zeros([data.size])
dataplot[0:365-july1]=data[july1:365]
dataplot[365-july1:365]=data[0:july1]
if (linecolor):
ax.plot(np.arange(0,365,1),dataplot, color=linecolor, linewidth=2, label=label)
else:
ax.plot(np.arange(0,365,1),dataplot, linewidth=2, label=label)
return ax
| 33.393043 | 143 | 0.610802 | 3,146 | 19,201 | 3.684043 | 0.087413 | 0.038827 | 0.021398 | 0.019672 | 0.825539 | 0.814582 | 0.803883 | 0.790595 | 0.775841 | 0.775841 | 0 | 0.094229 | 0.221238 | 19,201 | 574 | 144 | 33.45122 | 0.680867 | 0.215041 | 0 | 0.718954 | 0 | 0 | 0.072021 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.013072 | 0 | 0.124183 | 0.013072 | 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 |
210397c4c6994a37e3e8ab05299f53787b562757 | 28,314 | py | Python | utils/train_utils.py | filipe-research/PropMix | 994685567a9cf9c8e99d61f381d1a9c528569d47 | [
"MIT"
] | 1 | 2021-11-26T03:47:54.000Z | 2021-11-26T03:47:54.000Z | utils/train_utils.py | filipe-research/PropMix | 994685567a9cf9c8e99d61f381d1a9c528569d47 | [
"MIT"
] | null | null | null | utils/train_utils.py | filipe-research/PropMix | 994685567a9cf9c8e99d61f381d1a9c528569d47 | [
"MIT"
] | 1 | 2021-11-22T12:11:26.000Z | 2021-11-22T12:11:26.000Z | import torch
import numpy as np
from sklearn.mixture import GaussianMixture
from utils.utils import AverageMeter, ProgressMeter
import torch.nn.functional as F
def simclr_train(train_loader, model, criterion, optimizer, epoch):
"""
Train according to the scheme from SimCLR
https://arxiv.org/abs/2002.05709
"""
losses = AverageMeter('Loss', ':.4e')
progress = ProgressMeter(len(train_loader),
[losses],
prefix="Epoch: [{}]".format(epoch))
model.train()
for i, batch in enumerate(train_loader):
images = batch['image']
images_augmented = batch['image_augmented']
b, c, h, w = images.size()
input_ = torch.cat([images.unsqueeze(1), images_augmented.unsqueeze(1)], dim=1)
input_ = input_.view(-1, c, h, w)
input_ = input_.cuda(non_blocking=True)
targets = batch['target'].cuda(non_blocking=True)
output = model(input_).view(b, 2, -1)
loss = criterion(output)
losses.update(loss.item())
optimizer.zero_grad()
loss.backward()
optimizer.step()
if i % 25 == 0:
progress.display(i)
def scan_train(train_loader, model, criterion, optimizer, epoch, update_cluster_head_only=False):
"""
Train w/ SCAN-Loss
"""
total_losses = AverageMeter('Total Loss', ':.4e')
consistency_losses = AverageMeter('Consistency Loss', ':.4e')
entropy_losses = AverageMeter('Entropy', ':.4e')
progress = ProgressMeter(len(train_loader),
[total_losses, consistency_losses, entropy_losses],
prefix="Epoch: [{}]".format(epoch))
if update_cluster_head_only:
model.eval() # No need to update BN
else:
model.train() # Update BN
for i, batch in enumerate(train_loader):
# Forward pass
anchors = batch['anchor'].cuda(non_blocking=True)
neighbors = batch['neighbor'].cuda(non_blocking=True)
if update_cluster_head_only: # Only calculate gradient for backprop of linear layer
with torch.no_grad():
anchors_features = model(anchors, forward_pass='backbone')
neighbors_features = model(neighbors, forward_pass='backbone')
anchors_output = model(anchors_features, forward_pass='head')
neighbors_output = model(neighbors_features, forward_pass='head')
else: # Calculate gradient for backprop of complete network
anchors_output = model(anchors)
neighbors_output = model(neighbors)
# Loss for every head
total_loss, consistency_loss, entropy_loss = [], [], []
for anchors_output_subhead, neighbors_output_subhead in zip(anchors_output, neighbors_output):
total_loss_, consistency_loss_, entropy_loss_ = criterion(anchors_output_subhead,
neighbors_output_subhead)
total_loss.append(total_loss_)
consistency_loss.append(consistency_loss_)
entropy_loss.append(entropy_loss_)
# Register the mean loss and backprop the total loss to cover all subheads
total_losses.update(np.mean([v.item() for v in total_loss]))
consistency_losses.update(np.mean([v.item() for v in consistency_loss]))
entropy_losses.update(np.mean([v.item() for v in entropy_loss]))
total_loss = torch.sum(torch.stack(total_loss, dim=0))
optimizer.zero_grad()
total_loss.backward()
optimizer.step()
if i % 25 == 0:
progress.display(i)
def selflabel_train(train_loader, model, criterion, optimizer, epoch, ema=None):
"""
Self-labeling based on confident samples
"""
losses = AverageMeter('Loss', ':.4e')
progress = ProgressMeter(len(train_loader), [losses],
prefix="Epoch: [{}]".format(epoch))
model.train()
for i, batch in enumerate(train_loader):
images = batch['image'].cuda(non_blocking=True)
images_augmented = batch['image_augmented'].cuda(non_blocking=True)
with torch.no_grad():
output = model(images)[0]
output_augmented = model(images_augmented)[0]
loss = criterion(output, output_augmented)
losses.update(loss.item())
optimizer.zero_grad()
loss.backward()
optimizer.step()
if ema is not None: # Apply EMA to update the weights of the network
ema.update_params(model)
ema.apply_shadow(model)
if i % 25 == 0:
progress.display(i)
def scanmix_big_train(p,epoch,net,net2,optimizer,labeled_trainloader,unlabeled_trainloader,criterion,lambda_u,device):
net.train()
net2.eval() #fix one network and train the other
final_loss = AverageMeter('Loss', ':.4e')
progress = ProgressMeter(len(labeled_trainloader),
[final_loss],
prefix="Epoch: [{}]".format(epoch))
unlabeled_train_iter = iter(unlabeled_trainloader)
num_iter = (len(labeled_trainloader.dataset)//p['batch_size'])+1
for batch_idx, (inputs_x, inputs_x2, labels_x, w_x) in enumerate(labeled_trainloader):
try:
inputs_u, inputs_u2 = unlabeled_train_iter.next()
except:
unlabeled_train_iter = iter(unlabeled_trainloader)
inputs_u, inputs_u2 = unlabeled_train_iter.next()
batch_size = inputs_x.size(0)
# Transform label to one-hot
labels_x = torch.zeros(batch_size, p['num_class']).scatter_(1, labels_x.view(-1,1), 1)
w_x = w_x.view(-1,1).type(torch.FloatTensor)
inputs_x, inputs_x2, labels_x, w_x = inputs_x.to(device), inputs_x2.to(device), labels_x.to(device), w_x.to(device)
inputs_u, inputs_u2 = inputs_u.to(device), inputs_u2.to(device)
with torch.no_grad():
# label co-guessing of unlabeled samples
outputs_u11 = net(inputs_u, forward_pass='dm')
outputs_u12 = net(inputs_u2, forward_pass='dm')
outputs_u21 = net2(inputs_u, forward_pass='dm')
outputs_u22 = net2(inputs_u2, forward_pass='dm')
pu = (torch.softmax(outputs_u11, dim=1) + torch.softmax(outputs_u12, dim=1) + torch.softmax(outputs_u21, dim=1) + torch.softmax(outputs_u22, dim=1)) / 4
ptu = pu**(1/p['T']) # temparature sharpening
targets_u = ptu / ptu.sum(dim=1, keepdim=True) # normalize
targets_u = targets_u.detach()
# label refinement of labeled samples
outputs_x = net(inputs_x, forward_pass='dm')
outputs_x2 = net(inputs_x2, forward_pass='dm')
px = (torch.softmax(outputs_x, dim=1) + torch.softmax(outputs_x2, dim=1)) / 2
px = w_x*labels_x + (1-w_x)*px
ptx = px**(1/p['T']) # temparature sharpening
targets_x = ptx / ptx.sum(dim=1, keepdim=True) # normalize
targets_x = targets_x.detach()
# mixmatch
l = np.random.beta(p['alpha'], p['alpha'])
l = max(l, 1-l)
all_inputs = torch.cat([inputs_x, inputs_x2, inputs_u, inputs_u2], dim=0)
all_targets = torch.cat([targets_x, targets_x, targets_u, targets_u], dim=0)
idx = torch.randperm(all_inputs.size(0))
input_a, input_b = all_inputs, all_inputs[idx]
target_a, target_b = all_targets, all_targets[idx]
mixed_input = l * input_a[:batch_size*2] + (1 - l) * input_b[:batch_size*2]
mixed_target = l * target_a[:batch_size*2] + (1 - l) * target_b[:batch_size*2]
logits = net(mixed_input, forward_pass='dm')
Lx = -torch.mean(torch.sum(F.log_softmax(logits, dim=1) * mixed_target, dim=1))
prior = torch.ones(p['num_class'])/p['num_class']
prior = prior.to(device)
pred_mean = torch.softmax(logits, dim=1).mean(0)
penalty = torch.sum(prior*torch.log(prior/pred_mean))
loss = Lx + penalty
# compute gradient and do SGD step
optimizer.zero_grad()
loss.backward()
optimizer.step()
final_loss.update(loss.item())
if batch_idx % 25 == 0:
progress.display(batch_idx)
def train(p,epoch,net,net2,optimizer,trainloader,criterion,device):
net.train()
net2.eval() #fix one network and train the other
labeled_losses = AverageMeter('Labelled Loss', ':.4e')
progress = ProgressMeter(len(trainloader),
[labeled_losses],
prefix="Epoch: [{}]".format(epoch))
for batch_idx, (inputs_x, inputs_x2, labels_x, w_x) in enumerate(trainloader):
batch_size = inputs_x.size(0)
# Transform label to one-hot
labels_x = torch.zeros(batch_size, p['num_classes']).scatter_(1, labels_x.view(-1,1), 1)
w_x = w_x.view(-1,1).type(torch.FloatTensor)
inputs_x, inputs_x2, labels_x, w_x = inputs_x.to(device), inputs_x2.to(device), labels_x.to(device), w_x.to(device)
with torch.no_grad():
# label refinement of labeled samples
outputs_x11 = net(inputs_x)
outputs_x12 = net(inputs_x2)
outputs_x21 = net2(inputs_x)
outputs_x22 = net2(inputs_x2)
px = (torch.softmax(outputs_x11, dim=1) + torch.softmax(outputs_x12, dim=1) + torch.softmax(outputs_x21, dim=1) + torch.softmax(outputs_x22, dim=1)) / 4
px = w_x*labels_x + (1-w_x)*px
ptx = px**(1/p['T']) # temparature sharpening
targets_x = ptx / ptx.sum(dim=1, keepdim=True) # normalize
targets_x = targets_x.detach()
# mixmatch
l = np.random.beta(p['alpha'], p['alpha'])
l = max(l, 1-l)
all_inputs = torch.cat([inputs_x, inputs_x2, inputs_x, inputs_x2], dim=0)
all_targets = torch.cat([targets_x, targets_x, targets_x, targets_x], dim=0)
idx = torch.randperm(all_inputs.size(0))
input_a, input_b = all_inputs, all_inputs[idx]
target_a, target_b = all_targets, all_targets[idx]
mixed_input = l * input_a + (1 - l) * input_b
mixed_target = l * target_a + (1 - l) * target_b
logits = net(mixed_input)
Lx = criterion(logits, mixed_target)
# regularization
prior = torch.ones(p['num_classes'])/p['num_classes']
prior = prior.to(device)
pred_mean = torch.softmax(logits, dim=1).mean(0)
penalty = torch.sum(prior*torch.log(prior/pred_mean))
loss = Lx + penalty
# compute gradient and do SGD step
optimizer.zero_grad()
loss.backward()
optimizer.step()
labeled_losses.update(Lx.item())
if batch_idx % 25 == 0:
progress.display(batch_idx)
def scanmix_big_train_proportional(p,epoch,net,net2,optimizer,trainloader,criterion,lambda_u,device):
net.train()
net2.eval() #fix one network and train the other
labeled_losses = AverageMeter('Labelled Loss', ':.4e')
unlabeled_losses = AverageMeter('Unlabelled Loss', ':.4e')
progress = ProgressMeter(len(trainloader),
[labeled_losses, unlabeled_losses],
prefix="Epoch: [{}]".format(epoch))
num_iter = (len(trainloader.dataset)//p['batch_size'])+1
for batch_idx, (inputs_x, inputs_x2, labels_x, w_x) in enumerate(trainloader):
batch_size = inputs_x.size(0)
# Transform label to one-hot
labels_x = torch.zeros(batch_size, p['num_class']).scatter_(1, labels_x.view(-1,1), 1)
w_x = w_x.view(-1,1).type(torch.FloatTensor)
inputs_x, inputs_x2, labels_x, w_x = inputs_x.to(device), inputs_x2.to(device), labels_x.to(device), w_x.to(device)
with torch.no_grad():
# label refinement of labeled samples
outputs_x11 = net(inputs_x, forward_pass='dm')
outputs_x12 = net(inputs_x2, forward_pass='dm')
outputs_x21 = net2(inputs_x, forward_pass='dm')
outputs_x22 = net2(inputs_x2, forward_pass='dm')
px = (torch.softmax(outputs_x11, dim=1) + torch.softmax(outputs_x12, dim=1) + torch.softmax(outputs_x21, dim=1) + torch.softmax(outputs_x22, dim=1)) / 4
px = w_x*labels_x + (1-w_x)*px
ptx = px**(1/p['T']) # temparature sharpening
targets_x = ptx / ptx.sum(dim=1, keepdim=True) # normalize
targets_x = targets_x.detach()
# mixmatch
l = np.random.beta(p['alpha'], p['alpha'])
l = max(l, 1-l)
all_inputs = torch.cat([inputs_x, inputs_x2, inputs_x, inputs_x2], dim=0)
all_targets = torch.cat([targets_x, targets_x, targets_x, targets_x], dim=0)
idx = torch.randperm(all_inputs.size(0))
input_a, input_b = all_inputs, all_inputs[idx]
target_a, target_b = all_targets, all_targets[idx]
mixed_input = l * input_a + (1 - l) * input_b
mixed_target = l * target_a + (1 - l) * target_b
logits = net(mixed_input, forward_pass='dm')
Lx, Lu, lamb = criterion(logits, mixed_target, logits, mixed_target,lambda_u, epoch+batch_idx/num_iter, p['warmup'])
# regularization
prior = torch.ones(p['num_class'])/p['num_class']
prior = prior.to(device)
pred_mean = torch.softmax(logits, dim=1).mean(0)
penalty = torch.sum(prior*torch.log(prior/pred_mean))
loss = Lx + lamb * Lu + penalty
# compute gradient and do SGD step
optimizer.zero_grad()
loss.backward()
optimizer.step()
labeled_losses.update(Lx.item())
unlabeled_losses.update(Lu.item())
if batch_idx % 25 == 0:
progress.display(batch_idx)
def scanmix_big_train_proportional(p,epoch,net,net2,optimizer,trainloader,criterion,lambda_u,device):
net.train()
net2.eval() #fix one network and train the other
labeled_losses = AverageMeter('Labelled Loss', ':.4e')
unlabeled_losses = AverageMeter('Unlabelled Loss', ':.4e')
progress = ProgressMeter(len(trainloader),
[labeled_losses, unlabeled_losses],
prefix="Epoch: [{}]".format(epoch))
# unlabeled_train_iter = iter(unlabeled_trainloader)
num_iter = (len(trainloader.dataset)//p['batch_size'])+1
for batch_idx, (inputs_x, inputs_x2, labels_x, w_x) in enumerate(trainloader):
#
batch_size = inputs_x.size(0)
# Transform label to one-hot
labels_x = torch.zeros(batch_size, p['num_class']).scatter_(1, labels_x.view(-1,1), 1)
w_x = w_x.view(-1,1).type(torch.FloatTensor)
inputs_x, inputs_x2, labels_x, w_x = inputs_x.to(device), inputs_x2.to(device), labels_x.to(device), w_x.to(device)
# inputs_u, inputs_u2 = inputs_u.to(device), inputs_u2.to(device)
with torch.no_grad():
# label co-guessing of unlabeled samples
# outputs_u11 = net(inputs_u, forward_pass='dm')
# outputs_u12 = net(inputs_u2, forward_pass='dm')
# outputs_u21 = net2(inputs_u, forward_pass='dm')
# outputs_u22 = net2(inputs_u2, forward_pass='dm')
# outputs_u11 = net(inputs_u, forward_pass='dm')
# pu = (torch.softmax(outputs_u11, dim=1) + torch.softmax(outputs_u12, dim=1) + torch.softmax(outputs_u21, dim=1) + torch.softmax(outputs_u22, dim=1)) / 4
# ptu = pu**(1/p['T']) # temparature sharpening
# targets_u = ptu / ptu.sum(dim=1, keepdim=True) # normalize
# targets_u = targets_u.detach()
# label refinement of labeled samples
outputs_x11 = net(inputs_x, forward_pass='dm')
outputs_x12 = net(inputs_x2, forward_pass='dm')
outputs_x21 = net2(inputs_x, forward_pass='dm')
outputs_x22 = net2(inputs_x2, forward_pass='dm')
#px = (torch.softmax(outputs_x, dim=1) + torch.softmax(outputs_x2, dim=1)) / 2
px = (torch.softmax(outputs_x11, dim=1) + torch.softmax(outputs_x12, dim=1) + torch.softmax(outputs_x21, dim=1) + torch.softmax(outputs_x22, dim=1)) / 4
px = w_x*labels_x + (1-w_x)*px
ptx = px**(1/p['T']) # temparature sharpening
targets_x = ptx / ptx.sum(dim=1, keepdim=True) # normalize
targets_x = targets_x.detach()
# mixmatch
l = np.random.beta(p['alpha'], p['alpha'])
l = max(l, 1-l)
#all_inputs = torch.cat([inputs_x, inputs_x2, inputs_u, inputs_u2], dim=0)
all_inputs = torch.cat([inputs_x, inputs_x2, inputs_x, inputs_x2], dim=0)
#all_targets = torch.cat([targets_x, targets_x, targets_u, targets_u], dim=0)
all_targets = torch.cat([targets_x, targets_x, targets_x, targets_x], dim=0)
idx = torch.randperm(all_inputs.size(0))
input_a, input_b = all_inputs, all_inputs[idx]
target_a, target_b = all_targets, all_targets[idx]
mixed_input = l * input_a + (1 - l) * input_b
mixed_target = l * target_a + (1 - l) * target_b
logits = net(mixed_input, forward_pass='dm')
# logits_x = logits[:batch_size*3]
# logits_u = logits[batch_size*3:]
#Lx, Lu, lamb = criterion(logits_x, mixed_target[:batch_size*3], logits_u, mixed_target[batch_size*3:],lambda_u, epoch+batch_idx/num_iter, p['warmup'])
Lx, Lu, lamb = criterion(logits, mixed_target, logits, mixed_target,lambda_u, epoch+batch_idx/num_iter, p['warmup'])
# regularization
prior = torch.ones(p['num_class'])/p['num_class']
prior = prior.to(device)
pred_mean = torch.softmax(logits, dim=1).mean(0)
penalty = torch.sum(prior*torch.log(prior/pred_mean))
loss = Lx + lamb * Lu + penalty
# compute gradient and do SGD step
optimizer.zero_grad()
loss.backward()
optimizer.step()
labeled_losses.update(Lx.item())
unlabeled_losses.update(Lu.item())
if batch_idx % 25 == 0:
progress.display(batch_idx)
def warmup(epoch,net,optimizer,dataloader,criterion, conf_penalty, noise_mode, device):
net.train()
losses = AverageMeter('CE-Loss', ':.4e')
progress = ProgressMeter(len(dataloader),
[losses],
prefix="Epoch: [{}]".format(epoch))
num_iter = (len(dataloader.dataset)//dataloader.batch_size)+1
for batch_idx, (inputs, labels, path) in enumerate(dataloader):
inputs, labels = inputs.to(device), labels.to(device)
optimizer.zero_grad()
with torch.no_grad():
input_features = net(inputs, forward_pass='backbone')
outputs = net(input_features, forward_pass='head')
loss = criterion(outputs, labels)
if noise_mode=='asym' or 'semantic' in noise_mode: # penalize confident prediction for asymmetric noise
penalty = conf_penalty(outputs)
L = loss + penalty
elif noise_mode in ['semantic_densenet','semantic_resnet','semantic_vgg']:
penalty = conf_penalty(outputs)
L = loss + penalty
elif noise_mode=='sym':
L = loss
elif noise_mode in ['1','2','3']:
L = loss
L.backward()
optimizer.step()
losses.update(L.item())
if batch_idx % 25 == 0:
progress.display(batch_idx)
def scanmix_big_warmup(p,epoch,net,optimizer,dataloader,criterion, conf_penalty, noise_mode, device):
net.train()
losses = AverageMeter('CE-Loss', ':.4e')
progress = ProgressMeter(len(dataloader),
[losses],
prefix="Epoch: [{}]".format(epoch))
num_iter = (len(dataloader.dataset)//dataloader.batch_size)+1
for batch_idx, batch in enumerate(dataloader):
inputs, labels = batch['image'].to(device), batch['target'].to(device)
optimizer.zero_grad()
with torch.no_grad():
input_features = net(inputs, forward_pass='backbone')
outputs = net(input_features, forward_pass='dm_head')
loss = criterion(outputs, labels)
if p['dataset'] in ['webvision', 'mini_imagenet_blue', 'mini_imagenet_red', 'mini_imagenet32_red']:
L = loss
else:
raise NotImplementedError()
L.backward()
optimizer.step()
losses.update(L.item())
if batch_idx % 25 == 0:
progress.display(batch_idx)
def eval_train(args,model,all_loss,epoch,eval_loader,criterion,device, num_classes=100):
model.eval()
losses = torch.zeros(len(eval_loader.dataset))
pl = torch.zeros(len(eval_loader.dataset))
preds_classes = torch.zeros(len(eval_loader.dataset), num_classes)
with torch.no_grad():
for batch_idx, (inputs, targets, index) in enumerate(eval_loader):
inputs, targets = inputs.to(device), targets.to(device)
outputs = model(inputs)
_, predicted = torch.max(outputs, 1)
eval_preds = F.softmax(outputs, -1).cpu().data
loss = criterion(outputs, targets)
for b in range(inputs.size(0)):
losses[index[b]]=loss[b]
pl[index[b]] = predicted[b]
preds_classes[index[b]] = eval_preds[b]
losses = (losses-losses.min())/(losses.max()-losses.min()) # normalised losses for each image
all_loss.append(losses)
if args.r==0.9: # average loss over last 5 epochs to improve convergence stability
history = torch.stack(all_loss)
input_loss = history[-5:].mean(0)
input_loss = input_loss.reshape(-1,1)
else:
input_loss = losses.reshape(-1,1)
# fit a two-component GMM to the loss
gmm = GaussianMixture(n_components=2,max_iter=10,tol=1e-2,reg_covar=5e-4)
gmm.fit(input_loss)
prob = gmm.predict_proba(input_loss)
prob = prob[:,gmm.means_.argmin()]
return prob,all_loss,pl, preds_classes
def scanmix_big_eval_train_classes(model, eval_loader,criterion,device, num_classes=100, output={}):
model.eval()
losses = torch.zeros(len(eval_loader.dataset))
pl = torch.zeros(len(eval_loader.dataset))
preds_classes = torch.zeros(len(eval_loader.dataset), num_classes)
with torch.no_grad():
# for batch_idx, (inputs, targets, index) in enumerate(eval_loader):
for batch_idx, batch in enumerate(eval_loader):
inputs, targets = batch['image'].to(device), batch['target'].to(device)
index = batch['meta']['index']
# inputs, targets = inputs.to(device), targets.to(device)
outputs = model(inputs, forward_pass='dm')
_, predicted = torch.max(outputs, 1)
eval_preds = F.softmax(outputs, -1).cpu().data
loss = criterion(outputs, targets)
for b in range(inputs.size(0)):
losses[index[b]]=loss[b]
pl[index[b]] = predicted[b]
preds_classes[index[b]] = eval_preds[b]
losses = (losses-losses.min())/(losses.max()-losses.min()) # normalised losses for each image
# all_loss.append(losses)
# if p['r'] ==0.9: # average loss over last 5 epochs to improve convergence stability
# history = torch.stack(all_loss)
# input_loss = history[-5:].mean(0)
# input_loss = input_loss.reshape(-1,1)
# else:
input_loss = losses.reshape(-1,1)
# fit a two-component GMM to the loss
gmm = GaussianMixture(n_components=2,max_iter=10,tol=1e-2,reg_covar=5e-4)
gmm.fit(input_loss)
prob = gmm.predict_proba(input_loss)
prob = prob[:,gmm.means_.argmin()]
output['prob'] = prob
output['pl'] = pl
output['pred_classes'] = preds_classes
# return prob,all_loss,pl, preds_classes
def scanmix_big_eval_train(p,args,model,epoch,eval_loader,criterion,device,output):
model.eval()
losses = torch.zeros(len(eval_loader.dataset))
pl = torch.zeros(len(eval_loader.dataset))
processed = AverageMeter('Eval train')
progress = ProgressMeter(len(eval_loader),
[processed],
prefix="Epoch: [{}]".format(epoch))
with torch.no_grad():
for batch_idx, batch in enumerate(eval_loader):
inputs, targets = batch['image'].to(device), batch['target'].to(device)
index = batch['meta']['index']
outputs = model(inputs, forward_pass='dm')
_, predicted = torch.max(outputs, 1)
loss = criterion(outputs, targets)
for b in range(inputs.size(0)):
losses[index[b]]=loss[b]
pl[index[b]] = predicted[b]
if batch_idx % 25 == 0:
progress.display(batch_idx)
losses = (losses-losses.min())/(losses.max()-losses.min()) # normalised losses for each image
input_loss = losses.reshape(-1,1)
# fit a two-component GMM to the loss
if (p['dataset'] == 'webvision'):
gmm = GaussianMixture(n_components=2,max_iter=10,tol=1e-2,reg_covar=5e-4)
else:
gmm = GaussianMixture(n_components=2,max_iter=10,tol=1e-2,reg_covar=1e-3)
gmm.fit(input_loss)
prob = gmm.predict_proba(input_loss)
prob = prob[:,gmm.means_.argmin()]
output['prob'] = prob
output['pl'] = pl
def scanmix_scan(train_loader, model, criterion, optimizer, epoch, device, update_cluster_head_only=False):
"""
Train w/ SCAN-Loss
"""
total_losses = AverageMeter('Total Loss', ':.4e')
consistency_losses = AverageMeter('Consistency Loss', ':.4e')
entropy_losses = AverageMeter('Entropy', ':.4e')
progress = ProgressMeter(len(train_loader),
[total_losses, consistency_losses, entropy_losses],
prefix="Epoch: [{}]".format(epoch))
if update_cluster_head_only:
model.eval() # No need to update BN
else:
model.train() # Update BN
for i, batch in enumerate(train_loader):
# Forward pass
anchors = batch['anchor'].to(device, non_blocking=True)
neighbors = batch['neighbor'].to(device, non_blocking=True)
if update_cluster_head_only: # Only calculate gradient for backprop of linear layer
with torch.no_grad():
anchors_features = model(anchors, forward_pass='backbone')
neighbors_features = model(neighbors, forward_pass='backbone')
anchors_output = model(anchors_features, forward_pass='sl_head')
neighbors_output = model(neighbors_features, forward_pass='sl_head')
else: # Calculate gradient for backprop of complete network
anchors_output = model(anchors, forward_pass='sl')
neighbors_output = model(neighbors, forward_pass='sl')
# Loss for every head
total_loss, consistency_loss, entropy_loss = criterion(anchors_output,
neighbors_output)
# Register the mean loss and backprop the total loss to cover all subheads
total_losses.update(total_loss.item())
consistency_losses.update(consistency_loss.item())
entropy_losses.update(entropy_loss.item())
optimizer.zero_grad()
total_loss.backward()
optimizer.step()
if i % 25 == 0:
progress.display(i)
torch.cuda.empty_cache() | 42.071322 | 173 | 0.597867 | 3,564 | 28,314 | 4.540685 | 0.082772 | 0.027189 | 0.020083 | 0.016808 | 0.880739 | 0.857319 | 0.83013 | 0.811531 | 0.790892 | 0.77705 | 0 | 0.019636 | 0.280533 | 28,314 | 673 | 174 | 42.071322 | 0.774778 | 0.121141 | 0 | 0.727473 | 0 | 0 | 0.039508 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0.072527 | 0.010989 | 0 | 0.041758 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
2143d65a0cc104615049333d026c137491ecbec5 | 147 | py | Python | morgana/DatasetTools/morphology/__init__.py | Nikoula86/organoidSegment | b5d00256c15302ccd76b8b7a412852750476504b | [
"MIT"
] | 8 | 2021-09-08T10:49:53.000Z | 2022-02-25T13:28:03.000Z | morgana/DatasetTools/morphology/__init__.py | Nikoula86/organoidSegment | b5d00256c15302ccd76b8b7a412852750476504b | [
"MIT"
] | null | null | null | morgana/DatasetTools/morphology/__init__.py | Nikoula86/organoidSegment | b5d00256c15302ccd76b8b7a412852750476504b | [
"MIT"
] | 1 | 2021-11-24T08:10:41.000Z | 2021-11-24T08:10:41.000Z | import morgana.DatasetTools.morphology.io
import morgana.DatasetTools.morphology.computemorphology
import morgana.DatasetTools.morphology.overview
| 36.75 | 56 | 0.897959 | 15 | 147 | 8.8 | 0.466667 | 0.295455 | 0.568182 | 0.795455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040816 | 147 | 3 | 57 | 49 | 0.93617 | 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 |
216585048cb8d2d65bf065ec5abaca9ce376d36e | 2,056 | py | Python | world_manager.py | hamolicious/Ray-Tracer | 1af4cab7bccc93e12507c57f56fb2c868e65c745 | [
"Apache-2.0"
] | null | null | null | world_manager.py | hamolicious/Ray-Tracer | 1af4cab7bccc93e12507c57f56fb2c868e65c745 | [
"Apache-2.0"
] | null | null | null | world_manager.py | hamolicious/Ray-Tracer | 1af4cab7bccc93e12507c57f56fb2c868e65c745 | [
"Apache-2.0"
] | null | null | null |
from camera import Camera
import pygame
def generate_world(size):
world = [
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1],
[1, 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, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1],
[1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
[1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
[1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
[1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
[1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
[1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1],
[1, 0, 0, 0, 0, 0, 0, 2, 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, 1, 1, 1]
]
tile_width = size[0] / len(world[0])
tile_depth = size[1] / len(world)
temp = []
for y in range(len(world)):
for x in range(len(world[0])):
if world[y][x] == 1:
temp.append(pygame.Rect(x * tile_width, y * tile_depth, tile_width, tile_depth))
elif world[y][x] == 2:
avrg_size = (tile_width + tile_depth) / 2
size = avrg_size / 4
player = Camera(370, 165, size)
player.heading = 0
return temp, player
| 39.538462 | 97 | 0.355058 | 484 | 2,056 | 1.485537 | 0.066116 | 0.667594 | 0.888734 | 1.040334 | 0.554937 | 0.554937 | 0.554937 | 0.554937 | 0.552156 | 0.552156 | 0 | 0.333601 | 0.394942 | 2,056 | 51 | 98 | 40.313725 | 0.244373 | 0 | 0 | 0.263158 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026316 | false | 0 | 0.052632 | 0 | 0.105263 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0d404bc2e22b1f537b5bf4e38856d930f796833b | 16,014 | py | Python | ports/esp32/modules/imagedata.py | oshwabadge2018/micropython | 1c1584fc37a13a3407da341dd443f6d76644c26d | [
"MIT"
] | 3 | 2018-10-02T02:13:11.000Z | 2018-10-08T20:49:56.000Z | ports/esp32/modules/imagedata.py | oshwabadge2018/micropython | 1c1584fc37a13a3407da341dd443f6d76644c26d | [
"MIT"
] | 1 | 2018-10-04T06:44:57.000Z | 2018-10-04T15:34:46.000Z | ports/esp32/modules/imagedata.py | acamilo/micropython | 533d3d0c56ad0e822cb923ef3ff86f09cd5df118 | [
"MIT"
] | 2 | 2018-08-29T02:55:32.000Z | 2018-09-23T04:44:21.000Z | ohslogo = 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ff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff'
| 8,007 | 16,013 | 0.749844 | 4,002 | 16,014 | 3.0005 | 0.01924 | 1.403564 | 1.837775 | 2.147568 | 0.94437 | 0.924384 | 0.904647 | 0.874167 | 0.838941 | 0.807961 | 0 | 0.051402 | 0.000187 | 16,014 | 1 | 16,014 | 16,014 | 0.698582 | 0 | 0 | 0 | 0 | 1 | 0.999126 | 0.999126 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 |
b4ab6f4b520ab0f44fb483f4ac879a3fdc124ace | 129 | py | Python | mah_nuh_fahl_brah.py | fhebal/readmission-risk-app | ca7cf1664f0a64a8e88e39eaacaa06aaa7118d49 | [
"MIT"
] | null | null | null | mah_nuh_fahl_brah.py | fhebal/readmission-risk-app | ca7cf1664f0a64a8e88e39eaacaa06aaa7118d49 | [
"MIT"
] | null | null | null | mah_nuh_fahl_brah.py | fhebal/readmission-risk-app | ca7cf1664f0a64a8e88e39eaacaa06aaa7118d49 | [
"MIT"
] | null | null | null | print("okay fahn brahm i'ma commit to a separate branch not directly to main, cuz otherwise it'll break if i submit crap code.")
| 64.5 | 128 | 0.767442 | 25 | 129 | 3.96 | 0.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.170543 | 129 | 1 | 129 | 129 | 0.925234 | 0 | 0 | 0 | 0 | 1 | 0.922481 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
b4bf3905816ae0789bef4f8a5b5bf4294575ec88 | 72 | py | Python | bigtiffp/__init__.py | pablo-munoz/bigtiffp | 7d1c3595cbff41c202c70bc416c6c5c13f63cf5e | [
"MIT"
] | 3 | 2018-07-24T21:35:37.000Z | 2018-10-05T20:42:25.000Z | bigtiffp/__init__.py | pablo-munoz/bigtiffp | 7d1c3595cbff41c202c70bc416c6c5c13f63cf5e | [
"MIT"
] | null | null | null | bigtiffp/__init__.py | pablo-munoz/bigtiffp | 7d1c3595cbff41c202c70bc416c6c5c13f63cf5e | [
"MIT"
] | null | null | null | from .bigtiffp import BIGTIFF_VERSION
from .bigtiffp import is_bigtiff
| 18 | 37 | 0.847222 | 10 | 72 | 5.9 | 0.6 | 0.40678 | 0.610169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 72 | 3 | 38 | 24 | 0.936508 | 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 |
b4cc20e93d6daa8d746e6302da8931dca7f48b59 | 3,361 | py | Python | src/tests/unit/fixtures/audit_remediation/mock_templates.py | kphsugntuedutw/carbon-black-cloud-sdk-python | 5277be067223bc3eda0348c57b2a0004fa70f3e9 | [
"MIT"
] | 24 | 2020-10-16T22:07:38.000Z | 2022-03-24T14:58:03.000Z | src/tests/unit/fixtures/audit_remediation/mock_templates.py | kphsugntuedutw/carbon-black-cloud-sdk-python | 5277be067223bc3eda0348c57b2a0004fa70f3e9 | [
"MIT"
] | 63 | 2020-10-26T18:26:15.000Z | 2022-03-31T17:31:02.000Z | src/tests/unit/fixtures/audit_remediation/mock_templates.py | kphsugntuedutw/carbon-black-cloud-sdk-python | 5277be067223bc3eda0348c57b2a0004fa70f3e9 | [
"MIT"
] | 10 | 2020-11-09T11:54:23.000Z | 2022-03-24T20:44:00.000Z | """Mock data for Live Query templates"""
EXAMPLE_TEMPLATE = {
'id': 'xzllqfvlie2bzghqqfkxk9xizqniwcvr',
'name': 'CBC SDK',
'created_by': 'ABCDE12345',
'create_time': '2020-12-10T23:42:28.359Z',
'update_time': '2020-12-10T23:42:28.359Z',
'notify_on_finish': False,
'device_filter': {
'policy_id': None,
'os': ['WINDOWS'],
'device_id': None,
'deployment_type': None,
'policy_ids': None,
'device_types': ['WINDOWS'],
'device_ids': None
},
'sql': 'SELECT name, VERSION, install_date FROM programs;',
'last_run_create_time': None,
'next_run_time': '2020-12-11T18:30:00.000Z',
'schedule': {
'status': 'ACTIVE',
'recurrence': 'DAILY',
'timezone': 'America/New_York',
'rrule': 'FREQ=DAILY;BYHOUR=13;BYMINUTE=30;BYSECOND=0',
'previous_run_time': None,
'next_run_time': '2020-12-11T18:30:00.000Z',
'cancellation_time': None,
'cancelled_by': None
},
'recommended_query_id': None,
'schema': None,
'destinations': ['LQ']
}
EXAMPLE_TEMPLATE_REFRESH = {
'id': 'xzllqfvlie2bzghqqfkxk9xizqniwcvr',
'name': 'CBC SDK',
'created_by': 'ABCDE12345',
'create_time': '2020-12-10T23:42:28.359Z',
'update_time': '2020-12-10T23:42:28.359Z',
'notify_on_finish': False,
'device_filter': {
'policy_id': None,
'os': ['WINDOWS'],
'device_id': None,
'deployment_type': None,
'policy_ids': None,
'device_types': ['WINDOWS'],
'device_ids': None
},
'sql': 'SELECT name, VERSION, install_date FROM programs;',
'last_run_create_time': '2020-12-11T18:30:00.000Z',
'next_run_time': '2020-12-12T18:30:00.000Z',
'schedule': {
'status': 'ACTIVE',
'recurrence': 'DAILY',
'timezone': 'America/New_York',
'rrule': 'FREQ=DAILY;BYHOUR=13;BYMINUTE=30;BYSECOND=0',
'previous_run_time': '2020-12-11T18:30:00.000Z',
'next_run_time': '2020-12-12T18:30:00.000Z',
'cancellation_time': None,
'cancelled_by': None
},
'recommended_query_id': None,
'schema': None,
'destinations': ['LQ']
}
EXAMPLE_TEMPLATE_STOPPED = {
'id': 'xzllqfvlie2bzghqqfkxk9xizqniwcvr',
'name': 'CBC SDK',
'created_by': 'ABCDE12345',
'create_time': '2020-12-10T23:42:28.359Z',
'update_time': '2020-12-10T23:58:48.283Z',
'notify_on_finish': False,
'device_filter': {
'policy_id': None,
'os': ['WINDOWS'],
'device_id': None,
'deployment_type': None,
'policy_ids': None,
'device_types': ['WINDOWS'],
'device_ids': None
},
'sql': 'SELECT name, VERSION, install_date FROM programs;',
'last_run_create_time': None,
'next_run_time': None,
'schedule': {
'status': 'CANCELLED',
'recurrence': 'DAILY',
'timezone': 'America/New_York',
'rrule': 'FREQ=DAILY;BYHOUR=13;BYMINUTE=30;BYSECOND=0',
'previous_run_time': None,
'next_run_time': None,
'cancellation_time': '2020-12-10T23:58:48.283Z',
'cancelled_by': 'ABCDE12345'
},
'recommended_query_id': None,
'schema': None,
'destinations': ['LQ']
}
EXAMPLE_TEMPLATE_HISTORY = {
"org_key": "TEST",
"num_found": 1,
"results": [EXAMPLE_TEMPLATE]
}
| 30.554545 | 63 | 0.587028 | 382 | 3,361 | 4.926702 | 0.235602 | 0.05526 | 0.069075 | 0.055792 | 0.913921 | 0.913921 | 0.909671 | 0.893199 | 0.893199 | 0.893199 | 0 | 0.102454 | 0.236239 | 3,361 | 109 | 64 | 30.834862 | 0.630697 | 0.010116 | 0 | 0.778846 | 0 | 0 | 0.546823 | 0.161698 | 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 | 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 |
2ecd68717a8d59ce386ef431a5bd24143185f515 | 32,017 | py | Python | sifra/modelling/system_topology.py | sheecegardezi/sifra | a7af896159ea7db231e23aeab187b7493887a080 | [
"Apache-2.0"
] | null | null | null | sifra/modelling/system_topology.py | sheecegardezi/sifra | a7af896159ea7db231e23aeab187b7493887a080 | [
"Apache-2.0"
] | null | null | null | sifra/modelling/system_topology.py | sheecegardezi/sifra | a7af896159ea7db231e23aeab187b7493887a080 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import os
import networkx as nx
import re
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
# from networkx.readwrite.json_graph import node_link_data
# -----------------------------------------------------------------------------
class SystemTopology(object):
orientation = "LR" # Orientation of graph - Graphviz option
connector_type = "spline" # Connector appearance - Graphviz option
clustering = False # Cluster based on defined `node_cluster`
out_file = "system_topology"
graph_label = "System Component Topology"
def __init__(self, infrastructure, scenario):
self.infrastructure = infrastructure
self.scenario = scenario
self.gviz = "" # placeholder for a pygraphviz agraph
self.component_attr = {} # Dict for system comp attributes
self.out_dir = ""
for comp_id in infrastructure.components.keys():
self.component_attr[comp_id] = \
vars(infrastructure.components[comp_id])
self.graph_label = "System Component Topology"
self.out_dir = scenario.output_path
if infrastructure.system_class.lower() in \
['potablewatertreatmentplant', 'pwtp',
'wastewatertreatmentplant', 'wwtp',
'substation']:
self.orientation = "TB"
self.connector_type = "ortho"
self.clustering = True
elif infrastructure.system_class.lower() in \
['powerstation']:
self.orientation = "LR"
self.connector_type = "ortho"
self.clustering = True
else:
self.orientation = "TB"
self.connector_type = "polyline"
self.clustering = False
# Default drawing program
self.drawing_prog = 'dot'
# Overwrite default if node locations are defined
if hasattr(infrastructure, 'system_meta'):
if infrastructure.system_meta['component_location_conf']['value']\
== 'defined':
self.drawing_prog = 'neato'
def draw_sys_topology(self, viewcontext):
if self.infrastructure.system_class.lower() in ['substation']:
self.draw_substation_topology(viewcontext)
elif self.infrastructure.system_class.lower() in [
"potablewatertreatmentplant", "pwtp",
"wastewatertreatmentplant", "wwtp",
"watertreatmentplant", "wtp"]:
self.draw_wtp_topology(viewcontext)
else:
self.draw_generic_sys_topology(viewcontext)
def draw_generic_sys_topology(self, viewcontext):
"""
Draws the component configuration for a given infrastructure system.
:param viewcontext: Option "as-built" indicates topology of system
prior to hazard impact. Other options can be added to reflect
post-impact system configuration and alternate designs.
:return: generates and saves the system topology diagram in the
following formats: (graphviz) dot, png, svg.
"""
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Set up output file names & location
if not self.out_dir.strip():
output_path = os.getcwd()
else:
output_path = self.out_dir
# strip away file ext and add our own
fname = self.out_file.split(os.extsep)[0]
# Orientation of the graph (default is top-to-bottom):
if self.orientation.upper() not in ['TB', 'LR', 'RL', 'BT']:
self.orientation = 'TB'
# `connector_type` refers to the line connector type. Must be one of
# the types supported by Graphviz (i.e. 'spline', 'ortho', 'line',
# 'polyline', 'curved')
if self.connector_type.lower() not in \
['spline', 'ortho', 'line', 'polyline', 'curved']:
self.connector_type = 'ortho'
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Draw graph using pygraphviz. Define general node & edge attributes.
G = self.infrastructure._component_graph.digraph
graphml_file = os.path.join(output_path, fname + '.graphml')
G.write_graphml(graphml_file)
elist = G.get_edgelist()
named_elist = []
for tpl in elist:
named_elist.append((G.vs[tpl[0]]['name'],
G.vs[tpl[1]]['name']))
nxG = nx.DiGraph(named_elist)
self.gviz = nx.nx_agraph.to_agraph(nxG)
default_node_color = "royalblue3"
default_edge_color = "royalblue2"
self.gviz.graph_attr.update(
concentrate=False,
resolution=300,
directed=True,
labelloc="t",
label='< '+self.graph_label+'<BR/><BR/> >',
rankdir=self.orientation,
#ranksep="1.0 equally",
splines=self.connector_type,
center="true",
forcelabels=True,
fontname="Helvetica-Bold",
fontcolor="#444444",
fontsize=26,
smoothing="graph_dist",
pad=0.5,
nodesep=1.5,
sep=1.0,
overlap="voronoi",
overlap_scaling=1.0,
)
self.gviz.node_attr.update(
shape="circle",
style="rounded,filled",
fixedsize="true",
width=1.8,
height=1.8,
xlp="0, 0",
color=default_node_color, # gray14
fillcolor="white",
fontcolor=default_node_color, # gray14
penwidth=1.5,
fontname="Helvetica-Bold",
fontsize=18,
)
self.gviz.edge_attr.update(
arrowhead="normal",
arrowsize="1.0",
style="bold",
color=default_edge_color, # gray12
penwidth=1.2,
)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Customise nodes based on node type or defined clusters
for node in self.component_attr.keys():
label_mod = self.segment_long_labels(node, delims=['_', ' '])
self.gviz.get_node(node).attr['label'] = label_mod
if str(self.component_attr[node]['node_type']).lower() == 'supply':
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=12, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="rect",
rank="supply",
style="rounded,filled",
fixedsize="true",
color="limegreen",
fillcolor="white",
fontcolor="limegreen",
penwidth=2.0,
height=1.2,
width=2.2,
)
if str(self.component_attr[node]['node_type']).lower() == 'sink':
self.gviz.get_node(node).attr.update(
shape="doublecircle",
rank="sink",
penwidth=2.0,
color="orangered", # royalblue3
fillcolor="white",
fontcolor="orangered", # royalblue3
)
if str(self.component_attr[node]['node_type']).lower() \
== 'dependency':
self.gviz.get_node(node).attr.update(
shape="circle",
rank="dependency",
penwidth=3.5,
color="orchid",
fillcolor="white",
fontcolor="orchid"
)
if str(self.component_attr[node]['node_type']).lower() \
== 'junction':
self.gviz.get_node(node).attr.update(
shape="point",
width=0.5,
height=0.5,
penwidth=3.5,
color=default_node_color,
)
# Clustering: whether to create subgraphs based on `node_cluster`
# designated for components
node_clusters = list(set([self.component_attr[k]['node_cluster']
for k in self.component_attr.keys()]))
if self.clustering:
for cluster in node_clusters:
grp = [k for k in self.component_attr.keys()
if self.component_attr[k]['node_cluster'] == cluster]
cluster = '_'.join(cluster.split())
if cluster.lower() not in ['none', '']:
cluster_name = 'cluster_'+cluster
rank = 'same'
else:
cluster_name = ''
rank = ''
self.gviz.add_subgraph(
nbunch=grp,
name=cluster_name,
style='invis',
label='',
clusterrank='local',
rank=rank,
)
for node in self.component_attr.keys():
pos_x = self.component_attr[node]['longitude']
pos_y = self.component_attr[node]['latitude']
if pos_x and pos_y:
node_pos = str(pos_x)+","+str(pos_y)+"!"
self.gviz.get_node(node).attr.update(pos=node_pos)
# self.gviz.layout(prog=self.drawing_prog)
if viewcontext == "as-built":
self.gviz.write(os.path.join(output_path, fname + '_gv.dot'))
self.gviz.draw(os.path.join(output_path, fname + '_dot.png'),
format='png', prog='dot',
args='-Gdpi=300')
self.gviz.draw(os.path.join(output_path, fname + '.png'),
format='png', prog=self.drawing_prog,
args='-n2')
self.gviz.draw(os.path.join(output_path, fname + '.svg'),
format='svg',
prog=self.drawing_prog)
# nx.readwrite.json_graph.node_link_data(self.gviz,
# os.path.join(output_path, fname + '.json'))
# ==========================================================================
def draw_substation_topology(self, viewcontext):
"""
Draws the component configuration for a substation.
:param viewcontext: Option "as-built" indicates topology of system
prior to hazard impact. Other options can be added to reflect
post-impact system configuration and alternate designs.
:return: generates and saves the system topology diagram in the
following formats: (graphviz) dot, png, svg.
"""
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Set up output file names & location
if not self.out_dir.strip():
output_path = os.getcwd()
else:
output_path = self.out_dir
# strip away file ext and add our own
fname = self.out_file.split(os.extsep)[0]
# Orientation of the graph (default is top-to-bottom):
self.orientation = 'TB'
# `connector_type` refers to the line connector type. Must be one of
# ['spline', 'ortho', 'line', 'polyline', 'curved']
self.connector_type = 'ortho'
self.drawing_prog = 'neato'
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
G = self.infrastructure._component_graph.digraph
graphml_file = os.path.join(output_path, fname + '.graphml')
G.write_graphml(graphml_file)
elist = G.get_edgelist()
named_elist = []
for tpl in elist:
named_elist.append((G.vs[tpl[0]]['name'],
G.vs[tpl[1]]['name']))
nxG = nx.DiGraph(named_elist)
self.gviz = nx.nx_agraph.to_agraph(nxG)
default_node_color = "royalblue3"
default_edge_color = "royalblue2"
self.gviz.graph_attr.update(
directed=True,
concentrate=False,
resolution=300,
orientation="portrait",
labelloc="t",
label='< '+self.graph_label+'<BR/><BR/> >',
bgcolor="white",
rankdir=self.orientation,
# ranksep="1.0 equally",
splines=self.connector_type,
center="true",
forcelabels=True,
fontname="Helvetica-Bold",
fontcolor="#444444",
fontsize=26,
# smoothing="graph_dist",
smoothing="none",
pad=0.5,
pack=False,
sep="+20",
# overlap=False,
# overlap="voronoi",
# overlap_scaling=1.0,
)
self.gviz.node_attr.update(
shape="circle",
style="rounded,filled",
fixedsize="true",
width=0.2,
height=0.2,
color=default_node_color, # gray14
fillcolor="white",
fontcolor=default_node_color, # gray14
penwidth=1.5,
fontname="Helvetica-Bold",
fontsize=12,
)
self.gviz.edge_attr.update(
arrowhead="normal",
arrowsize="0.7",
style="bold",
color=default_edge_color, # gray12
penwidth=1.0,
)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Clustering: whether to create subgraphs based on `node_cluster`
# designated for components
node_clusters = list(set([self.component_attr[k]['node_cluster']
for k in self.component_attr.keys()]))
if self.clustering:
for cluster in node_clusters:
grp = [k for k in self.component_attr.keys()
if self.component_attr[k]['node_cluster'] == cluster]
cluster = '_'.join(cluster.split())
if cluster.lower() not in ['none', '']:
cluster_name = 'cluster_'+cluster
rank = 'same'
else:
cluster_name = ''
rank = ''
self.gviz.add_subgraph(
nbunch=grp,
name=cluster_name,
style='invis',
label='',
clusterrank='local',
rank=rank,
)
for node in self.component_attr.keys():
pos_x = self.component_attr[node]['longitude']
pos_y = self.component_attr[node]['latitude']
if pos_x and pos_y:
node_pos = str(pos_x)+","+str(pos_y)+"!"
self.gviz.get_node(node).attr.update(pos=node_pos)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Customise nodes based on node type or defined clusters
for node in self.component_attr.keys():
# label_mod = self.segment_long_labels(node, delims=['_', ' '])
# self.gviz.get_node(node).attr['label'] = label_mod
if str(self.component_attr[node]['node_type']).lower() == 'supply':
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=10, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="rect",
rank="supply",
style="filled",
fixedsize="true",
color="limegreen",
fillcolor="white",
fontcolor="limegreen",
peripheries=2,
penwidth=1.5,
height=0.8,
width=1.5,
)
if str(self.component_attr[node]['node_type']).lower() == 'sink':
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=7, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="doublecircle",
width=0.9,
height=0.9,
rank="sink",
penwidth=1.5,
color="orangered", # royalblue3
fillcolor="white",
fontcolor="orangered", # royalblue3
)
if str(self.component_attr[node]['node_type']).lower() \
== 'dependency':
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=7, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="circle",
width=0.9,
height=0.9,
rank="dependency",
penwidth=2.5,
color="orchid",
fillcolor="white",
fontcolor="orchid"
)
if str(self.component_attr[node]['node_type']).lower() \
== 'junction':
self.gviz.get_node(node).attr.update(
shape="point",
width=0.2,
height=0.2,
color="#777777",
fillcolor="#777777",
)
if str(self.component_attr[node]['node_type']).lower() \
== 'transshipment':
self.gviz.get_node(node).attr.update(
fixedsize="true",
label="",
xlabel=node,
# shape="circle",
# style="rounded,filled",
# width=0.2,
# height=0.2,
# penwidth=1.5,
# color=default_node_color,
)
if str(self.component_attr[node]['component_class']).lower()\
== 'bus':
# POSITION MUST BE IN POINTS for this to work
# tpos = self.gviz.get_node(node).attr['pos']
# poslist = [int(x.strip("!")) for x in tpos.split(",")]
# posnew = str(poslist[0]) + "," + str(poslist[1] + 5) + "!"
self.gviz.get_node(node).attr.update(
shape="rect",
penwidth=1.0,
width=1.0,
height=0.2,
label="",
xlabel=node,
# xlp=posnew,
)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Draw the graph
if viewcontext == "as-built":
self.gviz.write(os.path.join(output_path, fname + '_gv.dot'))
self.gviz.draw(os.path.join(output_path, fname + '_dot.png'),
format='png', prog='dot',
args='-Gdpi=300 -Gsize=8.27,11.69\!')
self.gviz.draw(os.path.join(output_path, fname + '.png'),
format='png', prog=self.drawing_prog,
args='-n -Gdpi=300')
self.gviz.draw(os.path.join(output_path, fname + '.svg'),
format='svg',
prog=self.drawing_prog)
# ==========================================================================
def draw_wtp_topology(self, viewcontext):
"""
Draws the component configuration for a water treatment plant.
:param viewcontext: Option "as-built" indicates topology of system
prior to hazard impact. Other options can be added to reflect
post-impact system configuration and alternate designs.
:return: generates and saves the system topology diagram in the
following formats: (graphviz) dot, png, svg.
"""
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Set up output file names & location
if not self.out_dir.strip():
output_path = os.getcwd()
else:
output_path = self.out_dir
# strip away file ext and add our own
fname = self.out_file.split(os.extsep)[0]
# Orientation of the graph (default is top-to-bottom):
self.orientation = 'TB'
# `connector_type` refers to the line connector type. Must be one of
# ['spline', 'ortho', 'line', 'polyline', 'curved']
self.connector_type = 'ortho'
self.drawing_prog = 'neato'
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
G = self.infrastructure._component_graph.digraph
graphml_file = os.path.join(output_path, fname + '.graphml')
G.write_graphml(graphml_file)
elist = G.get_edgelist()
named_elist = []
for tpl in elist:
named_elist.append((G.vs[tpl[0]]['name'],
G.vs[tpl[1]]['name']))
nxG = nx.DiGraph(named_elist)
self.gviz = nx.nx_agraph.to_agraph(nxG)
default_node_color = "royalblue3"
default_edge_color = "royalblue2"
self.gviz.graph_attr.update(
directed=True,
concentrate=False,
resolution=300,
orientation="portrait",
labelloc="t",
label='< '+self.graph_label+'<BR/><BR/> >',
bgcolor="white",
rankdir=self.orientation,
# ranksep="1.0 equally",
splines=self.connector_type,
center="true",
forcelabels=True,
fontname="Helvetica-Bold",
fontcolor="#444444",
fontsize=26,
# smoothing="graph_dist",
smoothing="none",
pad=0.5,
pack=False,
sep="+20",
)
self.gviz.node_attr.update(
shape="circle",
style="filled",
fixedsize="true",
width=0.3,
height=0.3,
color=default_node_color, # gray14
fillcolor="white",
fontcolor=default_node_color, # gray14
penwidth=1.5,
fontname="Helvetica-Bold",
fontsize=12,
)
self.gviz.edge_attr.update(
arrowhead="normal",
arrowsize="0.7",
style="bold",
color=default_edge_color, # gray12
penwidth=1.0,
)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Clustering: whether to create subgraphs based on `node_cluster`
# designated for components
node_clusters = list(set([self.component_attr[k]['node_cluster']
for k in self.component_attr.keys()]))
if self.clustering:
for cluster in node_clusters:
grp = [k for k in self.component_attr.keys()
if self.component_attr[k]['node_cluster'] == cluster]
cluster = '_'.join(cluster.split())
if cluster.lower() not in ['none', '']:
cluster_name = 'cluster_'+cluster
rank = 'same'
else:
cluster_name = ''
rank = ''
self.gviz.add_subgraph(
nbunch=grp,
name=cluster_name,
style='invis',
label='',
clusterrank='local',
rank=rank,
)
for node in self.component_attr.keys():
pos_x = self.component_attr[node]['longitude']
pos_y = self.component_attr[node]['latitude']
if pos_x and pos_y:
node_pos = str(pos_x)+","+str(pos_y)+"!"
self.gviz.get_node(node).attr.update(pos=node_pos)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Customise nodes based on node type or defined clusters
for node in self.component_attr.keys():
# label_mod = self.segment_long_labels(node, delims=['_', ' '])
# self.gviz.get_node(node).attr['label'] = label_mod
if str(self.component_attr[node]['node_type']).lower() == 'supply':
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=10, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="ellipse",
rank="supply",
fixedsize="true",
color="limegreen",
fillcolor="white",
fontcolor="limegreen",
penwidth=1.5,
width=1.5,
height=0.9,
)
if str(self.component_attr[node]['node_type']).lower() == 'sink':
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=7, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="ellipse",
rank="sink",
color="orangered", # royalblue3
fillcolor="white",
fontcolor="orangered", # royalblue3
peripheries=2,
penwidth=1.5,
width=1.5,
height=0.9,
)
if str(self.component_attr[node]['node_type']).lower() \
== 'dependency':
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=7, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="circle",
width=1.0,
height=1.0,
rank="dependency",
penwidth=2.5,
color="orchid",
fillcolor="white",
fontcolor="orchid"
)
if str(self.component_attr[node]['node_type']).lower() \
== 'junction':
tmplabel =\
self.segment_long_labels(node, maxlen=8, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="point",
width=0.3,
height=0.3,
color="#888888",
fillcolor="#888888",
fontcolor="#888888",
label="",
xlabel=tmplabel,
)
if str(self.component_attr[node]['node_type']).lower() \
== 'transshipment':
self.gviz.get_node(node).attr.update(
width=0.3,
height=0.3,
fixedsize="true",
label="",
xlabel=node,
)
if str(self.component_attr[node]['component_class']).lower() in \
['large tank',
'sedimentation basin',
'sedimentation basin - large']:
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=15, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="rect",
penwidth=1.0,
width=2.5,
height=0.9,
xlabel="",
)
if str(self.component_attr[node]['component_class']).lower() in\
['small tank',
'sedimentation basin - small',
'chlorination tank']:
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=12, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="rect",
penwidth=1.0,
width=1.5,
height=0.9,
xlabel="",
)
if str(self.component_attr[node]['component_class']).lower()\
== 'chemical tank':
self.gviz.get_node(node).attr.update(
# shape="cylinder",
shape="circle",
penwidth=1.0,
width=0.7,
height=0.7,
fixedsize="true",
label="",
xlabel=node,
)
if str(self.component_attr[node]['component_class']).lower() in\
['building', 'small building']:
tmplabel =\
self.segment_long_labels(node, maxlen=12, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="house",
penwidth=2.0,
width=1.6,
height=0.9,
label=tmplabel,
xlabel="",
)
if str(self.component_attr[node]['component_class']).lower() in\
['pump', 'pumps']:
tmplabel =\
self.segment_long_labels(node, maxlen=12, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="hexagon",
penwidth=1.0,
width=0.5,
height=0.5,
fixedsize="true",
label="",
xlabel=tmplabel,
)
if str(self.component_attr[node]['component_class']).lower() in \
['switchroom', 'power supply']:
self.gviz.get_node(node).attr['label'] =\
self.segment_long_labels(node, maxlen=15, delims=['_', ' '])
self.gviz.get_node(node).attr.update(
shape="rect",
style="rounded",
penwidth=1.0,
width=1.6,
height=0.9,
xlabel="",
)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Draw the graph
if viewcontext == "as-built":
self.gviz.draw(os.path.join(output_path, fname + '.png'),
format='png', prog=self.drawing_prog,
args='-n -Gdpi=300')
self.gviz.draw(os.path.join(output_path, fname + '.jpg'),
format='jpg', prog=self.drawing_prog,
args='-n -Gdpi=300')
self.gviz.write(os.path.join(output_path, fname + '_gv.dot'))
self.gviz.draw(os.path.join(output_path, fname + '_dot.png'),
format='png', prog='dot',
args='-Gdpi=300 -Gsize=8.27,11.69\!')
self.gviz.draw(os.path.join(output_path, fname + '.svg'),
format='svg',
prog=self.drawing_prog)
# ==========================================================================
def msplit(self, string, delims):
s = string
for d in delims:
rep = d + '\n'
s = rep.join(x for x in s.split(d))
return s
def segment_long_labels(self, string, maxlen=7, delims=' '):
if (not delims) and (len(string) > maxlen):
return "\n".join(
re.findall("(?s).{," + str(maxlen) + "}", string))[:-1]
elif len(string) > maxlen:
return self.msplit(string, delims)
else:
return string
| 38.206444 | 80 | 0.460349 | 3,013 | 32,017 | 4.753402 | 0.112512 | 0.038542 | 0.055788 | 0.039799 | 0.836056 | 0.813504 | 0.800028 | 0.783201 | 0.768119 | 0.710236 | 0 | 0.017637 | 0.403192 | 32,017 | 837 | 81 | 38.252091 | 0.731892 | 0.154387 | 0 | 0.772293 | 0 | 0 | 0.088133 | 0.004591 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011147 | false | 0 | 0.009554 | 0 | 0.036624 | 0.001592 | 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 |
2c0945e8da0884e9683620dc70d8758bd54ce979 | 46 | py | Python | python/testData/refactoring/move/packageImport/before/src/c.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2018-12-29T09:53:39.000Z | 2018-12-29T09:53:42.000Z | python/testData/refactoring/move/packageImport/before/src/c.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/refactoring/move/packageImport/before/src/c.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | from a import f
def main():
print(f(-1))
| 9.2 | 16 | 0.565217 | 9 | 46 | 2.888889 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029412 | 0.26087 | 46 | 4 | 17 | 11.5 | 0.735294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0.333333 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
25ee1390ce0851db91e87f55ce2f07111ea6e7b4 | 5,320 | py | Python | bokeh/tests/test_transform.py | DuCorey/bokeh | a88e24f34d40499a4608d01da8d706123350b4e6 | [
"BSD-3-Clause"
] | 1 | 2020-02-06T05:27:53.000Z | 2020-02-06T05:27:53.000Z | bokeh/tests/test_transform.py | DuCorey/bokeh | a88e24f34d40499a4608d01da8d706123350b4e6 | [
"BSD-3-Clause"
] | null | null | null | bokeh/tests/test_transform.py | DuCorey/bokeh | a88e24f34d40499a4608d01da8d706123350b4e6 | [
"BSD-3-Clause"
] | null | null | null | import bokeh.transform as bt
from bokeh.models import CategoricalColorMapper, Dodge, FactorRange, Jitter, LinearColorMapper, LogColorMapper
def test_transform():
t = bt.transform("foo", "junk")
assert t == dict(field="foo", transform="junk")
def test_dodge():
t = bt.dodge("foo", 0.5)
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], Dodge)
assert t['transform'].value == 0.5
assert t['transform'].range is None
def test_dodge_with_range():
r = FactorRange("a")
t = bt.dodge("foo", 0.5, range=r)
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], Dodge)
assert t['transform'].value == 0.5
assert t['transform'].range is r
assert t['transform'].range.factors == ["a"]
def test_jitter_defaults():
t = bt.jitter("foo", width=0.5)
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], Jitter)
assert t['transform'].width == 0.5
assert t['transform'].mean == 0
assert t['transform'].distribution == "uniform"
assert t['transform'].range is None
def test_jitter():
t = bt.jitter("foo", width=0.5, mean=0.1, distribution="normal")
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], Jitter)
assert t['transform'].width == 0.5
assert t['transform'].mean == 0.1
assert t['transform'].distribution == "normal"
assert t['transform'].range is None
def test_jitter_with_range():
r = FactorRange("a")
t = bt.jitter("foo", width=0.5, mean=0.1, range=r)
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], Jitter)
assert t['transform'].width == 0.5
assert t['transform'].mean == 0.1
assert t['transform'].distribution == "uniform"
assert t['transform'].range is r
assert t['transform'].range.factors == ["a"]
def test_factor_cmap_defaults():
t = bt.factor_cmap("foo", ["red", "green"], ["foo", "bar"])
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], CategoricalColorMapper)
assert t['transform'].palette == ["red", "green"]
assert t['transform'].factors == ["foo", "bar"]
assert t['transform'].start == 0
assert t['transform'].end is None
assert t['transform'].nan_color == "gray"
def test_factor_cmap():
t = bt.factor_cmap("foo", ["red", "green"], ["foo", "bar"], start=1, end=2, nan_color="pink")
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], CategoricalColorMapper)
assert t['transform'].palette == ["red", "green"]
assert t['transform'].factors == ["foo", "bar"]
assert t['transform'].start == 1
assert t['transform'].end is 2
assert t['transform'].nan_color == "pink"
def test_linear_cmap_defaults():
t = bt.linear_cmap("foo", ["red", "green"], 0, 10)
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], LinearColorMapper)
assert t['transform'].palette == ["red", "green"]
assert t['transform'].low == 0
assert t['transform'].high is 10
assert t['transform'].low_color is None
assert t['transform'].high_color is None
assert t['transform'].nan_color == "gray"
def test_linear_cmap():
t = bt.linear_cmap("foo", ["red", "green"], 0, 10, low_color="orange", high_color="blue", nan_color="pink")
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], LinearColorMapper)
assert t['transform'].palette == ["red", "green"]
assert t['transform'].low == 0
assert t['transform'].high is 10
assert t['transform'].low_color == "orange"
assert t['transform'].high_color == "blue"
assert t['transform'].nan_color == "pink"
def test_log_cmap_defaults():
t = bt.log_cmap("foo", ["red", "green"], 0, 10)
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], LogColorMapper)
assert t['transform'].palette == ["red", "green"]
assert t['transform'].low == 0
assert t['transform'].high is 10
assert t['transform'].low_color is None
assert t['transform'].high_color is None
assert t['transform'].nan_color == "gray"
def test_log_cmap():
t = bt.log_cmap("foo", ["red", "green"], 0, 10, low_color="orange", high_color="blue", nan_color="pink")
assert isinstance(t, dict)
assert set(t) == {"field", "transform"}
assert t['field'] == "foo"
assert isinstance(t['transform'], LogColorMapper)
assert t['transform'].palette == ["red", "green"]
assert t['transform'].low == 0
assert t['transform'].high is 10
assert t['transform'].low_color == "orange"
assert t['transform'].high_color == "blue"
assert t['transform'].nan_color == "pink"
| 38.273381 | 111 | 0.626316 | 711 | 5,320 | 4.611814 | 0.084388 | 0.136627 | 0.253736 | 0.070448 | 0.898445 | 0.886246 | 0.879841 | 0.860323 | 0.84416 | 0.799329 | 0 | 0.013321 | 0.181579 | 5,320 | 138 | 112 | 38.550725 | 0.73978 | 0 | 0 | 0.736 | 0 | 0 | 0.203383 | 0 | 0 | 0 | 0 | 0 | 0.776 | 1 | 0.096 | false | 0 | 0.016 | 0 | 0.112 | 0 | 0 | 0 | 0 | null | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
d3324b4530ce1373d996a651352f0e82a4984aea | 495 | py | Python | groupingsentences/__init__.py | garyrenapp/GroupingSentences | 899cdeb53247f9c9187214a7b490d86ba2bc47ed | [
"Apache-2.0"
] | null | null | null | groupingsentences/__init__.py | garyrenapp/GroupingSentences | 899cdeb53247f9c9187214a7b490d86ba2bc47ed | [
"Apache-2.0"
] | null | null | null | groupingsentences/__init__.py | garyrenapp/GroupingSentences | 899cdeb53247f9c9187214a7b490d86ba2bc47ed | [
"Apache-2.0"
] | null | null | null | from groupingsentences.ssdistance import get_similarity_val_by_sentences
from groupingsentences.ssdistance import get_funcname_by_func_type_id
from groupingsentences.fileload import load_cells_from_file
from groupingsentences.first import cells_to_groups
from groupingsentences.first import save_groups_to_xls
from groupingsentences.second import cells_to_xmind
from groupingsentences.second import gs_grouping_sentences_to_xmind
from groupingsentences.first import gs_grouping_sentences_to_xls
| 55 | 72 | 0.919192 | 67 | 495 | 6.38806 | 0.38806 | 0.392523 | 0.182243 | 0.224299 | 0.313084 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064646 | 495 | 8 | 73 | 61.875 | 0.924406 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
d365d68d924c2944be150443640bb374c763c68a | 41,626 | py | Python | tests/timeseries/stationxml/test_channel.py | kujaku11/mt_metadata | 92081e77550b737619f6c40c4ecb56e2e4d4d870 | [
"MIT"
] | 10 | 2021-01-08T23:38:45.000Z | 2022-03-31T14:01:45.000Z | tests/timeseries/stationxml/test_channel.py | kujaku11/mt_metadata | 92081e77550b737619f6c40c4ecb56e2e4d4d870 | [
"MIT"
] | 79 | 2021-01-09T03:24:30.000Z | 2022-03-18T05:28:15.000Z | tests/timeseries/stationxml/test_channel.py | kujaku11/mt_metadata | 92081e77550b737619f6c40c4ecb56e2e4d4d870 | [
"MIT"
] | 1 | 2022-03-02T01:11:38.000Z | 2022-03-02T01:11:38.000Z | # -*- coding: utf-8 -*-
"""
Created on Sun Feb 21 15:17:41 2021
:copyright:
Jared Peacock (jpeacock@usgs.gov)
:license: MIT
"""
# =============================================================================
# Imports
# =============================================================================
import unittest
from collections import OrderedDict
from obspy import read_inventory
from mt_metadata.timeseries.stationxml import XMLChannelMTChannel
from mt_metadata import STATIONXML_01, STATIONXML_02
from mt_metadata.timeseries.filters.obspy_stages import create_filter_from_stage
# =============================================================================
class TestParseSerialID(unittest.TestCase):
"""
Test parsing a string that holdes the electrod serial ID numbers
'positive: pid, negative: nid'
"""
def setUp(self):
self.converter = XMLChannelMTChannel()
self.pid = "2004007"
self.nid = "2004008"
self.id_str = f"positive: {self.pid}, negative: {self.nid}"
self.comma_only_str = f"{self.pid}, {self.nid}"
self.generic_str = "basic"
def test_parse(self):
test_pid, test_nid = self.converter._parse_electrode_ids(self.id_str)
self.assertEqual(test_pid, self.pid)
self.assertEqual(test_nid, self.nid)
def test_pares_comma_only(self):
test_pid, test_nid = self.converter._parse_electrode_ids(self.comma_only_str)
self.assertEqual(test_pid, self.pid)
self.assertEqual(test_nid, self.nid)
def test_pares_basic(self):
test_pid, test_nid = self.converter._parse_electrode_ids(self.generic_str)
self.assertEqual(test_pid, "basic")
self.assertEqual(test_nid, "basic")
class TestParseDipole(unittest.TestCase):
"""
Test parsing a dipole length string
"""
def setUp(self):
self.converter = XMLChannelMTChannel()
self.dipole_length = 100.0
self.dipole_str = f"{self.dipole_length} meters"
def test_parse(self):
d = self.converter._parse_dipole_length(self.dipole_str)
self.assertEqual(d, self.dipole_length)
class TestXMLChannelTwoChannels(unittest.TestCase):
"""
Test reading XML channel to MT Channel
"""
def setUp(self):
self.inventory = read_inventory(STATIONXML_01.as_posix())
self.xml_hy = self.inventory.networks[0].stations[0].channels[0]
self.xml_ey = self.inventory.networks[0].stations[0].channels[1]
self.filters_dict = dict(
[
(c.name, c)
for c in [
create_filter_from_stage(s)
for s in self.xml_hy.response.response_stages
]
]
)
self.converter = XMLChannelMTChannel()
self.maxDiff = None
def test_channel_hy(self):
mt_channel, mt_filters = self.converter.xml_to_mt(self.xml_hy)
self.assertDictEqual(
mt_channel.to_dict(),
{
"magnetic": OrderedDict(
[
("channel_number", None),
("comments", "run_ids: []"),
("component", "hy"),
("data_quality.rating.value", 0),
("filter.applied", [False] * 3),
(
"filter.name",
[
"magnetic field 3 pole butterworth low-pass",
"v to counts (magnetic)",
"hy time offset",
],
),
("location.elevation", 329.4),
("location.latitude", 37.633351),
("location.longitude", -121.468382),
("measurement_azimuth", 103.2),
("measurement_tilt", 0.0),
("sample_rate", 1.0),
("sensor.id", "2593"),
("sensor.manufacturer", "Barry Narod"),
("sensor.model", "fluxgate NIMS"),
("sensor.type", "Magnetometer"),
("time_period.end", "2020-07-13T21:46:12+00:00"),
("time_period.start", "2020-06-02T18:41:43+00:00"),
("type", "magnetic"),
("units", "nanotesla"),
]
)
},
)
def test_channel_ey(self):
mt_channel, mt_filters = self.converter.xml_to_mt(self.xml_ey)
self.assertDictEqual(
mt_channel.to_dict(),
{
"electric": OrderedDict(
[
("channel_number", None),
("comments", "run_ids: []"),
("component", "ey"),
("data_quality.rating.value", 0),
("dipole_length", 92.0),
("filter.applied", [False] * 6),
(
"filter.name",
[
"electric field 5 pole butterworth low-pass",
"electric field 1 pole butterworth high-pass",
"mv per km to v per m",
"v per m to v",
"v to counts (electric)",
"electric time offset",
],
),
("measurement_azimuth", 103.2),
("measurement_tilt", 0.0),
("negative.elevation", 329.4),
("negative.id", "2004020"),
("negative.latitude", 37.633351),
("negative.longitude", -121.468382),
("negative.manufacturer", "Oregon State University"),
("negative.model", "Pb-PbCl2 kaolin gel Petiau 2 chamber type"),
("negative.type", "electrode"),
("positive.elevation", 329.4),
("positive.id", "200402F"),
("positive.latitude", 37.633351),
("positive.longitude", -121.468382),
("positive.manufacturer", "Oregon State University"),
("positive.model", "Pb-PbCl2 kaolin gel Petiau 2 chamber type"),
("positive.type", "electrode"),
("sample_rate", 1.0),
("time_period.end", "2020-07-13T21:46:12+00:00"),
("time_period.start", "2020-06-02T18:41:43+00:00"),
("type", "electric"),
("units", "millivolts per kilometer"),
]
)
},
)
class TestXMLChannelSingleStation(unittest.TestCase):
"""
Test reading XML channel to MT Channel
"""
def setUp(self):
self.inventory = read_inventory(STATIONXML_02.as_posix())
self.xml_hx = self.inventory.networks[0].stations[0].channels[0]
self.xml_hy = self.inventory.networks[0].stations[0].channels[1]
self.xml_hz = self.inventory.networks[0].stations[0].channels[2]
self.xml_ex = self.inventory.networks[0].stations[0].channels[3]
self.xml_ey = self.inventory.networks[0].stations[0].channels[4]
self.filters_dict = dict(
[
(c.name, c)
for c in [
create_filter_from_stage(s)
for s in self.xml_hy.response.response_stages
]
]
)
self.converter = XMLChannelMTChannel()
self.maxDiff = None
def test_channel_hx(self):
mt_channel, mt_filters = self.converter.xml_to_mt(self.xml_hx)
self.assertDictEqual(
mt_channel.to_dict(),
{
"magnetic": OrderedDict(
[
("channel_number", None),
("comments", "run_ids: [a,b]"),
("component", "hx"),
("data_quality.rating.value", 0),
("filter.applied", [False] * 3),
(
"filter.name",
[
"magnetic field 3 pole butterworth low-pass",
"v to counts (magnetic)",
"hx time offset",
],
),
("location.elevation", 887.775),
("location.latitude", 35.1469128125),
("location.longitude", -117.160798541667),
("measurement_azimuth", 11.8287420852694),
("measurement_tilt", 0.0),
("sample_rate", 1.0),
("sensor.id", "1303-01"),
("sensor.manufacturer", "Barry Narod"),
("sensor.model", "fluxgate NIMS"),
("sensor.type", "Magnetometer"),
("time_period.end", "2020-06-25T17:57:40+00:00"),
("time_period.start", "2020-06-08T22:57:13+00:00"),
("type", "magnetic"),
("units", "nanotesla"),
]
)
},
)
def test_channel_hy(self):
mt_channel, mt_filters = self.converter.xml_to_mt(self.xml_hy)
self.assertDictEqual(
mt_channel.to_dict(),
{
"magnetic": OrderedDict(
[
("channel_number", None),
("comments", "run_ids: [a,b]"),
("component", "hy"),
("data_quality.rating.value", 0),
("filter.applied", [False] * 3),
(
"filter.name",
[
"magnetic field 3 pole butterworth low-pass",
"v to counts (magnetic)",
"hy time offset",
],
),
("location.elevation", 887.775),
("location.latitude", 35.1469128125),
("location.longitude", -117.160798541667),
("measurement_azimuth", 101.828742085269),
("measurement_tilt", 0.0),
("sample_rate", 1.0),
("sensor.id", "1303-01"),
("sensor.manufacturer", "Barry Narod"),
("sensor.model", "fluxgate NIMS"),
("sensor.type", "Magnetometer"),
("time_period.end", "2020-06-25T17:57:40+00:00"),
("time_period.start", "2020-06-08T22:57:13+00:00"),
("type", "magnetic"),
("units", "nanotesla"),
]
)
},
)
def test_channel_hz(self):
mt_channel, mt_filters = self.converter.xml_to_mt(self.xml_hz)
self.assertDictEqual(
mt_channel.to_dict(),
{
"magnetic": OrderedDict(
[
("channel_number", None),
("comments", "run_ids: [a,b]"),
("component", "hz"),
("data_quality.rating.value", 0),
("filter.applied", [False] * 3),
(
"filter.name",
[
"magnetic field 3 pole butterworth low-pass",
"v to counts (magnetic)",
"hz time offset",
],
),
("location.elevation", 887.775),
("location.latitude", 35.1469128125),
("location.longitude", -117.160798541667),
("measurement_azimuth", 0.0),
("measurement_tilt", 0.0),
("sample_rate", 1.0),
("sensor.id", "1303-01"),
("sensor.manufacturer", "Barry Narod"),
("sensor.model", "fluxgate NIMS"),
("sensor.type", "Magnetometer"),
("time_period.end", "2020-06-25T17:57:40+00:00"),
("time_period.start", "2020-06-08T22:57:13+00:00"),
("type", "magnetic"),
("units", "nanotesla"),
]
)
},
)
def test_channel_ex(self):
mt_channel, mt_filters = self.converter.xml_to_mt(self.xml_ex)
self.assertDictEqual(
mt_channel.to_dict(),
{
"electric": OrderedDict(
[
("channel_number", None),
("comments", "run_ids: [a,b]"),
("component", "ex"),
("data_quality.rating.value", 0),
("dipole_length", 94.0),
("filter.applied", [False] * 6),
(
"filter.name",
[
"electric field 5 pole butterworth low-pass",
"electric field 1 pole butterworth high-pass",
"mv per km to v per m",
"v per m to v",
"v to counts (electric)",
"electric time offset",
],
),
("measurement_azimuth", 11.8287420852694),
("measurement_tilt", 0.0),
("negative.elevation", 887.775),
("negative.id", "2004008"),
("negative.latitude", 35.1469128125),
("negative.longitude", -117.160798541667),
("negative.manufacturer", "Oregon State University"),
("negative.model", "Pb-PbCl2 kaolin gel Petiau 2 chamber type"),
("negative.type", "electrode"),
("positive.elevation", 887.775),
("positive.id", "2004007"),
("positive.latitude", 35.1469128125),
("positive.longitude", -117.160798541667),
("positive.manufacturer", "Oregon State University"),
("positive.model", "Pb-PbCl2 kaolin gel Petiau 2 chamber type"),
("positive.type", "electrode"),
("sample_rate", 1.0),
("time_period.end", "2020-06-25T17:57:40+00:00"),
("time_period.start", "2020-06-08T22:57:13+00:00"),
("type", "electric"),
("units", "millivolts per kilometer"),
]
)
},
)
def test_channel_ey(self):
mt_channel, mt_filters = self.converter.xml_to_mt(self.xml_ey)
self.assertDictEqual(
mt_channel.to_dict(),
{
"electric": OrderedDict(
[
("channel_number", None),
("comments", "run_ids: [a,b]"),
("component", "ey"),
("data_quality.rating.value", 0),
("dipole_length", 94.0),
("filter.applied", [False] * 6),
(
"filter.name",
[
"electric field 5 pole butterworth low-pass",
"electric field 1 pole butterworth high-pass",
"mv per km to v per m",
"v per m to v",
"v to counts (electric)",
"electric time offset",
],
),
("measurement_azimuth", 101.828742085269),
("measurement_tilt", 0.0),
("negative.elevation", 887.775),
("negative.id", "2004004"),
("negative.latitude", 35.1469128125),
("negative.longitude", -117.160798541667),
("negative.manufacturer", "Oregon State University"),
("negative.model", "Pb-PbCl2 kaolin gel Petiau 2 chamber type"),
("negative.type", "electrode"),
("positive.elevation", 887.775),
("positive.id", "2004002"),
("positive.latitude", 35.1469128125),
("positive.longitude", -117.160798541667),
("positive.manufacturer", "Oregon State University"),
("positive.model", "Pb-PbCl2 kaolin gel Petiau 2 chamber type"),
("positive.type", "electrode"),
("sample_rate", 1.0),
("time_period.end", "2020-06-25T17:57:40+00:00"),
("time_period.start", "2020-06-08T22:57:13+00:00"),
("type", "electric"),
("units", "millivolts per kilometer"),
]
)
},
)
class TestMTChannelToXML01HY(unittest.TestCase):
"""
Test reading network into MT mt_station object
"""
def setUp(self):
self.inventory = read_inventory(STATIONXML_01.as_posix())
self.base_xml_channel = self.inventory.networks[0].stations[0].channels[0]
self.converter = XMLChannelMTChannel()
self.mt_channel, self.filters_dict = self.converter.xml_to_mt(
self.base_xml_channel
)
self.test_xml_channel = self.converter.mt_to_xml(
self.mt_channel, self.filters_dict
)
def test_location(self):
self.assertEqual(self.base_xml_channel.latitude, self.test_xml_channel.latitude)
self.assertEqual(
self.base_xml_channel.longitude, self.test_xml_channel.longitude
)
self.assertEqual(
self.base_xml_channel.elevation, self.test_xml_channel.elevation
)
self.assertEqual(self.base_xml_channel.depth, self.test_xml_channel.depth)
def test_time_period(self):
self.assertEqual(
self.base_xml_channel.start_date, self.test_xml_channel.start_date
)
self.assertEqual(self.base_xml_channel.end_date, self.test_xml_channel.end_date)
def test_code(self):
# the codes are not the same because the azimuth is more than 5 degrees from E
self.assertEqual(self.base_xml_channel.code, self.test_xml_channel.code)
self.assertNotEqual(
self.base_xml_channel.alternate_code, self.test_xml_channel.alternate_code
)
def test_sensor(self):
self.assertEqual(
self.base_xml_channel.sensor.type, self.test_xml_channel.sensor.type
)
self.assertEqual(
self.base_xml_channel.sensor.model, self.test_xml_channel.sensor.model
)
self.assertEqual(
self.base_xml_channel.sensor.manufacturer,
self.test_xml_channel.sensor.manufacturer,
)
self.assertEqual(
self.base_xml_channel.sensor.serial_number,
self.test_xml_channel.sensor.serial_number,
)
self.assertEqual(
self.base_xml_channel.sensor.description,
self.test_xml_channel.sensor.description,
)
def test_units(self):
self.assertEqual(
self.base_xml_channel.calibration_units,
self.test_xml_channel.calibration_units,
)
self.assertEqual(
self.base_xml_channel.calibration_units_description,
self.test_xml_channel.calibration_units_description,
)
def test_sample_rate(self):
self.assertEqual(
self.base_xml_channel.sample_rate, self.test_xml_channel.sample_rate
)
def test_azimuth(self):
self.assertEqual(self.base_xml_channel.azimuth, self.test_xml_channel.azimuth)
self.assertEqual(self.base_xml_channel.dip, self.test_xml_channel.dip)
def test_types(self):
self.assertEqual(self.base_xml_channel.types, self.test_xml_channel.types)
class TestMTChannelToXML01EX(unittest.TestCase):
"""
Test reading network into MT mt_station object
"""
def setUp(self):
self.inventory = read_inventory(STATIONXML_01.as_posix())
self.base_xml_channel = self.inventory.networks[0].stations[0].channels[1]
self.converter = XMLChannelMTChannel()
self.mt_channel, self.filters_dict = self.converter.xml_to_mt(
self.base_xml_channel
)
self.test_xml_channel = self.converter.mt_to_xml(
self.mt_channel, self.filters_dict
)
def test_location(self):
self.assertEqual(self.base_xml_channel.latitude, self.test_xml_channel.latitude)
self.assertEqual(
self.base_xml_channel.longitude, self.test_xml_channel.longitude
)
self.assertEqual(
self.base_xml_channel.elevation, self.test_xml_channel.elevation
)
self.assertEqual(self.base_xml_channel.depth, self.test_xml_channel.depth)
def test_time_period(self):
self.assertEqual(
self.base_xml_channel.start_date, self.test_xml_channel.start_date
)
self.assertEqual(self.base_xml_channel.end_date, self.test_xml_channel.end_date)
def test_code(self):
# the codes are not the same because the azimuth is more than 5 degrees from E self.assertNotEqual(self.base_xml_channel.code,
self.assertEqual(self.base_xml_channel.code, self.test_xml_channel.code)
self.assertNotEqual(
self.base_xml_channel.alternate_code, self.test_xml_channel.alternate_code
)
def test_sensor(self):
self.assertEqual(
self.base_xml_channel.sensor.type, self.test_xml_channel.sensor.type
)
self.assertEqual(
self.base_xml_channel.sensor.model, self.test_xml_channel.sensor.model
)
self.assertEqual(
self.base_xml_channel.sensor.manufacturer,
self.test_xml_channel.sensor.manufacturer,
)
self.assertEqual(
self.base_xml_channel.sensor.serial_number,
self.test_xml_channel.sensor.serial_number,
)
self.assertEqual(
self.base_xml_channel.sensor.description,
self.test_xml_channel.sensor.description,
)
def test_units(self):
self.assertEqual(
self.base_xml_channel.calibration_units,
self.test_xml_channel.calibration_units,
)
self.assertEqual(
self.base_xml_channel.calibration_units_description,
self.test_xml_channel.calibration_units_description,
)
def test_sample_rate(self):
self.assertEqual(
self.base_xml_channel.sample_rate, self.test_xml_channel.sample_rate
)
def test_azimuth(self):
self.assertEqual(self.base_xml_channel.azimuth, self.test_xml_channel.azimuth)
self.assertEqual(self.base_xml_channel.dip, self.test_xml_channel.dip)
def test_types(self):
self.assertEqual(self.base_xml_channel.types, self.test_xml_channel.types)
class TestMTChannelToXML02HX(unittest.TestCase):
"""
Test reading network into MT mt_station object
"""
def setUp(self):
self.inventory = read_inventory(STATIONXML_02.as_posix())
self.base_xml_channel = self.inventory.networks[0].stations[0].channels[0]
self.converter = XMLChannelMTChannel()
self.mt_channel, self.filters_dict = self.converter.xml_to_mt(
self.base_xml_channel
)
self.test_xml_channel = self.converter.mt_to_xml(
self.mt_channel, self.filters_dict
)
def test_location(self):
self.assertEqual(self.base_xml_channel.latitude, self.test_xml_channel.latitude)
self.assertEqual(
self.base_xml_channel.longitude, self.test_xml_channel.longitude
)
self.assertEqual(
self.base_xml_channel.elevation, self.test_xml_channel.elevation
)
self.assertEqual(self.base_xml_channel.depth, self.test_xml_channel.depth)
def test_time_period(self):
self.assertEqual(
self.base_xml_channel.start_date, self.test_xml_channel.start_date
)
self.assertEqual(self.base_xml_channel.end_date, self.test_xml_channel.end_date)
def test_code(self):
# the codes are not the same because the azimuth is more than 5 degrees from E self.assertNotEqual(self.base_xml_channel.code,
self.assertEqual(self.base_xml_channel.code, self.test_xml_channel.code)
self.assertEqual(
self.base_xml_channel.alternate_code.lower(),
self.test_xml_channel.alternate_code.lower(),
)
def test_sensor(self):
self.assertEqual(
self.base_xml_channel.sensor.type, self.test_xml_channel.sensor.type
)
self.assertEqual(
self.base_xml_channel.sensor.model, self.test_xml_channel.sensor.model
)
self.assertEqual(
self.base_xml_channel.sensor.manufacturer,
self.test_xml_channel.sensor.manufacturer,
)
self.assertEqual(
self.base_xml_channel.sensor.serial_number,
self.test_xml_channel.sensor.serial_number,
)
self.assertEqual(
self.base_xml_channel.sensor.description,
self.test_xml_channel.sensor.description,
)
def test_units(self):
self.assertEqual(
self.base_xml_channel.calibration_units,
self.test_xml_channel.calibration_units,
)
self.assertEqual(
self.base_xml_channel.calibration_units_description,
self.test_xml_channel.calibration_units_description,
)
def test_sample_rate(self):
self.assertEqual(
self.base_xml_channel.sample_rate, self.test_xml_channel.sample_rate
)
def test_azimuth(self):
self.assertEqual(self.base_xml_channel.azimuth, self.test_xml_channel.azimuth)
self.assertEqual(self.base_xml_channel.dip, self.test_xml_channel.dip)
def test_types(self):
self.assertEqual(self.base_xml_channel.types, self.test_xml_channel.types)
def test_comments(self):
for comment_base, comment_test in zip(
self.base_xml_channel.comments, self.test_xml_channel.comments
):
self.assertEqual(comment_base.value, comment_test.value)
self.assertEqual(comment_base.subject, comment_test.subject)
class TestMTChannelToXML02HY(unittest.TestCase):
"""
Test reading network into MT mt_station object
"""
def setUp(self):
self.inventory = read_inventory(STATIONXML_02.as_posix())
self.base_xml_channel = self.inventory.networks[0].stations[0].channels[1]
self.converter = XMLChannelMTChannel()
self.mt_channel, self.filters_dict = self.converter.xml_to_mt(
self.base_xml_channel
)
self.test_xml_channel = self.converter.mt_to_xml(
self.mt_channel, self.filters_dict
)
def test_location(self):
self.assertEqual(self.base_xml_channel.latitude, self.test_xml_channel.latitude)
self.assertEqual(
self.base_xml_channel.longitude, self.test_xml_channel.longitude
)
self.assertEqual(
self.base_xml_channel.elevation, self.test_xml_channel.elevation
)
self.assertEqual(self.base_xml_channel.depth, self.test_xml_channel.depth)
def test_time_period(self):
self.assertEqual(
self.base_xml_channel.start_date, self.test_xml_channel.start_date
)
self.assertEqual(self.base_xml_channel.end_date, self.test_xml_channel.end_date)
def test_code(self):
# the codes are not the same because the azimuth is more than 5 degrees from E self.assertNotEqual(self.base_xml_channel.code,
self.assertEqual(self.base_xml_channel.code, self.test_xml_channel.code)
self.assertEqual(
self.base_xml_channel.alternate_code.lower(),
self.test_xml_channel.alternate_code.lower(),
)
def test_sensor(self):
self.assertEqual(
self.base_xml_channel.sensor.type, self.test_xml_channel.sensor.type
)
self.assertEqual(
self.base_xml_channel.sensor.model, self.test_xml_channel.sensor.model
)
self.assertEqual(
self.base_xml_channel.sensor.manufacturer,
self.test_xml_channel.sensor.manufacturer,
)
self.assertEqual(
self.base_xml_channel.sensor.serial_number,
self.test_xml_channel.sensor.serial_number,
)
self.assertEqual(
self.base_xml_channel.sensor.description,
self.test_xml_channel.sensor.description,
)
def test_units(self):
self.assertEqual(
self.base_xml_channel.calibration_units,
self.test_xml_channel.calibration_units,
)
self.assertEqual(
self.base_xml_channel.calibration_units_description,
self.test_xml_channel.calibration_units_description,
)
def test_sample_rate(self):
self.assertEqual(
self.base_xml_channel.sample_rate, self.test_xml_channel.sample_rate
)
def test_azimuth(self):
self.assertEqual(self.base_xml_channel.azimuth, self.test_xml_channel.azimuth)
self.assertEqual(self.base_xml_channel.dip, self.test_xml_channel.dip)
def test_types(self):
self.assertEqual(self.base_xml_channel.types, self.test_xml_channel.types)
def test_comments(self):
for comment_base, comment_test in zip(
self.base_xml_channel.comments, self.test_xml_channel.comments
):
self.assertEqual(comment_base.value, comment_test.value)
self.assertEqual(comment_base.subject, comment_test.subject)
class TestMTChannelToXML02HZ(unittest.TestCase):
"""
Test reading network into MT mt_station object
"""
def setUp(self):
self.inventory = read_inventory(STATIONXML_02.as_posix())
self.base_xml_channel = self.inventory.networks[0].stations[0].channels[2]
self.converter = XMLChannelMTChannel()
self.mt_channel, self.filters_dict = self.converter.xml_to_mt(
self.base_xml_channel
)
self.test_xml_channel = self.converter.mt_to_xml(
self.mt_channel, self.filters_dict
)
def test_location(self):
self.assertEqual(self.base_xml_channel.latitude, self.test_xml_channel.latitude)
self.assertEqual(
self.base_xml_channel.longitude, self.test_xml_channel.longitude
)
self.assertEqual(
self.base_xml_channel.elevation, self.test_xml_channel.elevation
)
self.assertEqual(self.base_xml_channel.depth, self.test_xml_channel.depth)
def test_time_period(self):
self.assertEqual(
self.base_xml_channel.start_date, self.test_xml_channel.start_date
)
self.assertEqual(self.base_xml_channel.end_date, self.test_xml_channel.end_date)
def test_code(self):
# the codes are not the same because the azimuth is more than 5 degrees from E self.assertNotEqual(self.base_xml_channel.code,
self.assertEqual(self.base_xml_channel.code, self.test_xml_channel.code)
self.assertEqual(
self.base_xml_channel.alternate_code.lower(),
self.test_xml_channel.alternate_code.lower(),
)
def test_sensor(self):
self.assertEqual(
self.base_xml_channel.sensor.type, self.test_xml_channel.sensor.type
)
self.assertEqual(
self.base_xml_channel.sensor.model, self.test_xml_channel.sensor.model
)
self.assertEqual(
self.base_xml_channel.sensor.manufacturer,
self.test_xml_channel.sensor.manufacturer,
)
self.assertEqual(
self.base_xml_channel.sensor.serial_number,
self.test_xml_channel.sensor.serial_number,
)
self.assertEqual(
self.base_xml_channel.sensor.description,
self.test_xml_channel.sensor.description,
)
def test_units(self):
self.assertEqual(
self.base_xml_channel.calibration_units,
self.test_xml_channel.calibration_units,
)
self.assertEqual(
self.base_xml_channel.calibration_units_description,
self.test_xml_channel.calibration_units_description,
)
def test_sample_rate(self):
self.assertEqual(
self.base_xml_channel.sample_rate, self.test_xml_channel.sample_rate
)
def test_azimuth(self):
self.assertEqual(self.base_xml_channel.azimuth, self.test_xml_channel.azimuth)
self.assertEqual(self.base_xml_channel.dip, self.test_xml_channel.dip)
def test_types(self):
self.assertEqual(self.base_xml_channel.types, self.test_xml_channel.types)
def test_comments(self):
for comment_base, comment_test in zip(
self.base_xml_channel.comments, self.test_xml_channel.comments
):
self.assertEqual(comment_base.value, comment_test.value)
self.assertEqual(comment_base.subject, comment_test.subject)
class TestMTChannelToXML02EX(unittest.TestCase):
"""
Test reading network into MT mt_station object
"""
def setUp(self):
self.inventory = read_inventory(STATIONXML_02.as_posix())
self.base_xml_channel = self.inventory.networks[0].stations[0].channels[3]
self.converter = XMLChannelMTChannel()
self.mt_channel, self.filters_dict = self.converter.xml_to_mt(
self.base_xml_channel
)
self.test_xml_channel = self.converter.mt_to_xml(
self.mt_channel, self.filters_dict
)
def test_location(self):
self.assertEqual(self.base_xml_channel.latitude, self.test_xml_channel.latitude)
self.assertEqual(
self.base_xml_channel.longitude, self.test_xml_channel.longitude
)
self.assertEqual(
self.base_xml_channel.elevation, self.test_xml_channel.elevation
)
self.assertEqual(self.base_xml_channel.depth, self.test_xml_channel.depth)
def test_time_period(self):
self.assertEqual(
self.base_xml_channel.start_date, self.test_xml_channel.start_date
)
self.assertEqual(self.base_xml_channel.end_date, self.test_xml_channel.end_date)
def test_code(self):
# the codes are not the same because the azimuth is more than 5 degrees from E self.assertNotEqual(self.base_xml_channel.code,
self.assertEqual(self.base_xml_channel.code, self.test_xml_channel.code)
self.assertEqual(
self.base_xml_channel.alternate_code.lower(),
self.test_xml_channel.alternate_code.lower(),
)
def test_sensor(self):
self.assertEqual(
self.base_xml_channel.sensor.type, self.test_xml_channel.sensor.type
)
self.assertEqual(
self.base_xml_channel.sensor.model, self.test_xml_channel.sensor.model
)
self.assertEqual(
self.base_xml_channel.sensor.manufacturer,
self.test_xml_channel.sensor.manufacturer,
)
self.assertEqual(
self.base_xml_channel.sensor.serial_number,
self.test_xml_channel.sensor.serial_number,
)
self.assertEqual(
self.base_xml_channel.sensor.description,
self.test_xml_channel.sensor.description,
)
def test_units(self):
self.assertEqual(
self.base_xml_channel.calibration_units,
self.test_xml_channel.calibration_units,
)
self.assertEqual(
self.base_xml_channel.calibration_units_description,
self.test_xml_channel.calibration_units_description,
)
def test_sample_rate(self):
self.assertEqual(
self.base_xml_channel.sample_rate, self.test_xml_channel.sample_rate
)
def test_azimuth(self):
self.assertEqual(self.base_xml_channel.azimuth, self.test_xml_channel.azimuth)
self.assertEqual(self.base_xml_channel.dip, self.test_xml_channel.dip)
def test_types(self):
self.assertEqual(self.base_xml_channel.types, self.test_xml_channel.types)
def test_comments(self):
for comment_base, comment_test in zip(
self.base_xml_channel.comments, self.test_xml_channel.comments
):
self.assertEqual(comment_base.value, comment_test.value)
self.assertEqual(comment_base.subject, comment_test.subject)
class TestMTChannelToXML02EY(unittest.TestCase):
"""
Test reading network into MT mt_station object
"""
def setUp(self):
self.inventory = read_inventory(STATIONXML_02.as_posix())
self.base_xml_channel = self.inventory.networks[0].stations[0].channels[4]
self.converter = XMLChannelMTChannel()
self.mt_channel, self.filters_dict = self.converter.xml_to_mt(
self.base_xml_channel
)
self.test_xml_channel = self.converter.mt_to_xml(
self.mt_channel, self.filters_dict
)
def test_location(self):
self.assertEqual(self.base_xml_channel.latitude, self.test_xml_channel.latitude)
self.assertEqual(
self.base_xml_channel.longitude, self.test_xml_channel.longitude
)
self.assertEqual(
self.base_xml_channel.elevation, self.test_xml_channel.elevation
)
self.assertEqual(self.base_xml_channel.depth, self.test_xml_channel.depth)
def test_time_period(self):
self.assertEqual(
self.base_xml_channel.start_date, self.test_xml_channel.start_date
)
self.assertEqual(self.base_xml_channel.end_date, self.test_xml_channel.end_date)
def test_code(self):
# the codes are not the same because the azimuth is more than 5 degrees from E self.assertNotEqual(self.base_xml_channel.code,
self.assertEqual(self.base_xml_channel.code, self.test_xml_channel.code)
self.assertEqual(
self.base_xml_channel.alternate_code.lower(),
self.test_xml_channel.alternate_code.lower(),
)
def test_sensor(self):
self.assertEqual(
self.base_xml_channel.sensor.type, self.test_xml_channel.sensor.type
)
self.assertEqual(
self.base_xml_channel.sensor.model, self.test_xml_channel.sensor.model
)
self.assertEqual(
self.base_xml_channel.sensor.manufacturer,
self.test_xml_channel.sensor.manufacturer,
)
self.assertEqual(
self.base_xml_channel.sensor.serial_number,
self.test_xml_channel.sensor.serial_number,
)
self.assertEqual(
self.base_xml_channel.sensor.description,
self.test_xml_channel.sensor.description,
)
def test_units(self):
self.assertEqual(
self.base_xml_channel.calibration_units,
self.test_xml_channel.calibration_units,
)
self.assertEqual(
self.base_xml_channel.calibration_units_description,
self.test_xml_channel.calibration_units_description,
)
def test_sample_rate(self):
self.assertEqual(
self.base_xml_channel.sample_rate, self.test_xml_channel.sample_rate
)
def test_azimuth(self):
self.assertEqual(self.base_xml_channel.azimuth, self.test_xml_channel.azimuth)
self.assertEqual(self.base_xml_channel.dip, self.test_xml_channel.dip)
def test_types(self):
self.assertEqual(self.base_xml_channel.types, self.test_xml_channel.types)
def test_comments(self):
for comment_base, comment_test in zip(
self.base_xml_channel.comments, self.test_xml_channel.comments
):
self.assertEqual(comment_base.value, comment_test.value)
self.assertEqual(comment_base.subject, comment_test.subject)
# =============================================================================
# Run
# =============================================================================
if __name__ == "__main__":
unittest.main()
| 39.493359 | 141 | 0.562077 | 4,323 | 41,626 | 5.15406 | 0.058062 | 0.136888 | 0.078004 | 0.127642 | 0.941699 | 0.938064 | 0.937301 | 0.932992 | 0.928369 | 0.918989 | 0 | 0.031162 | 0.330851 | 41,626 | 1,053 | 142 | 39.530864 | 0.768759 | 0.046509 | 0 | 0.729977 | 0 | 0 | 0.115069 | 0.016482 | 0 | 0 | 0 | 0 | 0.179634 | 1 | 0.094966 | false | 0.011442 | 0.006865 | 0 | 0.114416 | 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 |
6cab67fe92e4ce8d71423f582ba60c58bb9877d2 | 34,662 | py | Python | billforward/apis/tokenization_api.py | billforward/bf-python | d2b812329ca3ed1fd94364d7f46f69ad74665596 | [
"Apache-2.0"
] | 2 | 2016-11-23T17:32:37.000Z | 2022-02-24T05:13:20.000Z | billforward/apis/tokenization_api.py | billforward/bf-python | d2b812329ca3ed1fd94364d7f46f69ad74665596 | [
"Apache-2.0"
] | null | null | null | billforward/apis/tokenization_api.py | billforward/bf-python | d2b812329ca3ed1fd94364d7f46f69ad74665596 | [
"Apache-2.0"
] | 1 | 2016-12-30T20:02:48.000Z | 2016-12-30T20:02:48.000Z | # coding: utf-8
"""
BillForward REST API
OpenAPI spec version: 1.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
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.
"""
from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class TokenizationApi(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):
config = Configuration()
if api_client:
self.api_client = api_client
else:
if not config.api_client:
config.api_client = ApiClient()
self.api_client = config.api_client
def auth_capture(self, auth_capture_request, **kwargs):
"""
[Note: this API can be invoked more simply by our client-side card capture library, <a href=\"https://github.com/billforward/billforward-js\">BillForward.js</a>; you should not need to interact with this API manually unless you have particularly bespoke requirements]
{\"nickname\":\"Authorized card capture\",\"response\":\"BFJSAuthCapture.html\",\"request\":\"BFJSAuthCapture.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.auth_capture(auth_capture_request, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param AuthCaptureRequest auth_capture_request: The auth capture request. (required)
:return: PaymentMethodPagedMetadata
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.auth_capture_with_http_info(auth_capture_request, **kwargs)
else:
(data) = self.auth_capture_with_http_info(auth_capture_request, **kwargs)
return data
def auth_capture_with_http_info(self, auth_capture_request, **kwargs):
"""
[Note: this API can be invoked more simply by our client-side card capture library, <a href=\"https://github.com/billforward/billforward-js\">BillForward.js</a>; you should not need to interact with this API manually unless you have particularly bespoke requirements]
{\"nickname\":\"Authorized card capture\",\"response\":\"BFJSAuthCapture.html\",\"request\":\"BFJSAuthCapture.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.auth_capture_with_http_info(auth_capture_request, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param AuthCaptureRequest auth_capture_request: The auth capture request. (required)
:return: PaymentMethodPagedMetadata
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['auth_capture_request']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method auth_capture" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'auth_capture_request' is set
if ('auth_capture_request' not in params) or (params['auth_capture_request'] is None):
raise ValueError("Missing the required parameter `auth_capture_request` when calling `auth_capture`")
resource_path = '/tokenization/auth-capture'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'auth_capture_request' in params:
body_params = params['auth_capture_request']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['text/xml', 'application/xml', 'application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PaymentMethodPagedMetadata',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def braintree_card_capture(self, **kwargs):
"""
[Warning: for use only in PCI-compliant environments; for more information, <a href=\"mailto:support@billforward.net\">contact us</a> regarding provisioning of your own on-premise BillForward instance] Captures raw credit card details into Braintree's vault.
{\"nickname\":\"Braintree Tokenization\",\"response\":\"braintreeDirectTokenization.html\",\"request\":\"braintreeDirectTokenization.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.braintree_card_capture(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param BraintreeCaptureRequest body:
:return: PaymentMethodPagedMetadata
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.braintree_card_capture_with_http_info(**kwargs)
else:
(data) = self.braintree_card_capture_with_http_info(**kwargs)
return data
def braintree_card_capture_with_http_info(self, **kwargs):
"""
[Warning: for use only in PCI-compliant environments; for more information, <a href=\"mailto:support@billforward.net\">contact us</a> regarding provisioning of your own on-premise BillForward instance] Captures raw credit card details into Braintree's vault.
{\"nickname\":\"Braintree Tokenization\",\"response\":\"braintreeDirectTokenization.html\",\"request\":\"braintreeDirectTokenization.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.braintree_card_capture_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param BraintreeCaptureRequest body:
:return: PaymentMethodPagedMetadata
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method braintree_card_capture" % key
)
params[key] = val
del params['kwargs']
resource_path = '/tokenization/braintree'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in params:
body_params = params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PaymentMethodPagedMetadata',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def pay_vision_shout_v1(self, **kwargs):
"""
[Note: this API is intended to be invoked by the PayVision servers -- they are BillForward's way of informing client-side of the result of card-capture from within an iframe] Generates iframe to which customer will be directed upon success or failure. The iframe contains JavaScript which attempts to send a message to BillForward.js on the client-side, which will handle the result.
{\"nickname\":\"Generate PayVision iframe redirect\",\"response\":\"payVisionShoutV1.html\",\"request\":\"payVisionShoutV1.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.pay_vision_shout_v1(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str _resource_path:
:param str id:
:return: str
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.pay_vision_shout_v1_with_http_info(**kwargs)
else:
(data) = self.pay_vision_shout_v1_with_http_info(**kwargs)
return data
def pay_vision_shout_v1_with_http_info(self, **kwargs):
"""
[Note: this API is intended to be invoked by the PayVision servers -- they are BillForward's way of informing client-side of the result of card-capture from within an iframe] Generates iframe to which customer will be directed upon success or failure. The iframe contains JavaScript which attempts to send a message to BillForward.js on the client-side, which will handle the result.
{\"nickname\":\"Generate PayVision iframe redirect\",\"response\":\"payVisionShoutV1.html\",\"request\":\"payVisionShoutV1.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.pay_vision_shout_v1_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str _resource_path:
:param str id:
:return: str
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['_resource_path', 'id']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method pay_vision_shout_v1" % key
)
params[key] = val
del params['kwargs']
resource_path = '/tokenization/payvision-shout-v1'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
if '_resource_path' in params:
form_params.append(('resourcePath', params['_resource_path']))
if 'id' in params:
form_params.append(('id', params['id']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['text/html'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='str',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def pre_auth(self, pre_auth_request, **kwargs):
"""
[Note: this API can be invoked more simply by our client-side card capture library, <a href=\"https://github.com/billforward/billforward-js\">BillForward.js</a>; you should not need to interact with this API manually unless you have particularly bespoke requirements]
{\"nickname\":\"Pre-authorize card capture\",\"response\":\"BFJSPreAuth.html\",\"request\":\"BFJSPreAuth.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.pre_auth(pre_auth_request, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param InsertableBillingEntity pre_auth_request: The auth request. (required)
:return: TokenizationPreAuthPagedMetadata
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.pre_auth_with_http_info(pre_auth_request, **kwargs)
else:
(data) = self.pre_auth_with_http_info(pre_auth_request, **kwargs)
return data
def pre_auth_with_http_info(self, pre_auth_request, **kwargs):
"""
[Note: this API can be invoked more simply by our client-side card capture library, <a href=\"https://github.com/billforward/billforward-js\">BillForward.js</a>; you should not need to interact with this API manually unless you have particularly bespoke requirements]
{\"nickname\":\"Pre-authorize card capture\",\"response\":\"BFJSPreAuth.html\",\"request\":\"BFJSPreAuth.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.pre_auth_with_http_info(pre_auth_request, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param InsertableBillingEntity pre_auth_request: The auth request. (required)
:return: TokenizationPreAuthPagedMetadata
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['pre_auth_request']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method pre_auth" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'pre_auth_request' is set
if ('pre_auth_request' not in params) or (params['pre_auth_request'] is None):
raise ValueError("Missing the required parameter `pre_auth_request` when calling `pre_auth`")
resource_path = '/tokenization/pre-auth'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'pre_auth_request' in params:
body_params = params['pre_auth_request']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['text/xml', 'application/xml', 'application/json'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='TokenizationPreAuthPagedMetadata',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def sage_pay_notify_v300(self, **kwargs):
"""
[Note: this API is intended to be invoked by the SagePay servers -- they are BillForward's way of receiving a callback from a SagePay card capture operation, using SagePay's FORM Protocol, v3.0] Handles SagePay Notification.
{\"nickname\":\"Handle SagePay Notification\",\"response\":\"sagePayNotifyV3_00.html\",\"request\":\"sagePayNotifyV3_00.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.sage_pay_notify_v300(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param list[str] organizations: A list of organization-IDs used to restrict the scope of API calls.Multiple organization-IDs may be specified by repeated use of the queryparameter. Example: ...&organizations=org1&organizations=org2
:param str bill_forward_url_root: The URL through which BFJS connected to BillForward.
:param str access_token: The public token through which BFJS connected to BillForward.
:param str vps_protocol:
:param str tx_type:
:param str vendor_tx_code:
:param str status:
:param str vps_tx_id:
:param str card_type:
:param str token:
:param str status_detail:
:param str last4_digits:
:param str vps_signature:
:param str expiry_date:
:return: str
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.sage_pay_notify_v300_with_http_info(**kwargs)
else:
(data) = self.sage_pay_notify_v300_with_http_info(**kwargs)
return data
def sage_pay_notify_v300_with_http_info(self, **kwargs):
"""
[Note: this API is intended to be invoked by the SagePay servers -- they are BillForward's way of receiving a callback from a SagePay card capture operation, using SagePay's FORM Protocol, v3.0] Handles SagePay Notification.
{\"nickname\":\"Handle SagePay Notification\",\"response\":\"sagePayNotifyV3_00.html\",\"request\":\"sagePayNotifyV3_00.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.sage_pay_notify_v300_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param list[str] organizations: A list of organization-IDs used to restrict the scope of API calls.Multiple organization-IDs may be specified by repeated use of the queryparameter. Example: ...&organizations=org1&organizations=org2
:param str bill_forward_url_root: The URL through which BFJS connected to BillForward.
:param str access_token: The public token through which BFJS connected to BillForward.
:param str vps_protocol:
:param str tx_type:
:param str vendor_tx_code:
:param str status:
:param str vps_tx_id:
:param str card_type:
:param str token:
:param str status_detail:
:param str last4_digits:
:param str vps_signature:
:param str expiry_date:
:return: str
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['organizations', 'bill_forward_url_root', 'access_token', 'vps_protocol', 'tx_type', 'vendor_tx_code', 'status', 'vps_tx_id', 'card_type', 'token', 'status_detail', 'last4_digits', 'vps_signature', 'expiry_date']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method sage_pay_notify_v300" % key
)
params[key] = val
del params['kwargs']
resource_path = '/tokenization/sagepay-notify-v3-00'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'organizations' in params:
query_params['organizations'] = params['organizations']
if 'bill_forward_url_root' in params:
query_params['billForwardURLRoot'] = params['bill_forward_url_root']
if 'access_token' in params:
query_params['access_token'] = params['access_token']
header_params = {}
form_params = []
local_var_files = {}
if 'vps_protocol' in params:
form_params.append(('VPSProtocol', params['vps_protocol']))
if 'tx_type' in params:
form_params.append(('TxType', params['tx_type']))
if 'vendor_tx_code' in params:
form_params.append(('VendorTxCode', params['vendor_tx_code']))
if 'status' in params:
form_params.append(('Status', params['status']))
if 'vps_tx_id' in params:
form_params.append(('VPSTxId', params['vps_tx_id']))
if 'card_type' in params:
form_params.append(('CardType', params['card_type']))
if 'token' in params:
form_params.append(('Token', params['token']))
if 'status_detail' in params:
form_params.append(('StatusDetail', params['status_detail']))
if 'last4_digits' in params:
form_params.append(('Last4Digits', params['last4_digits']))
if 'vps_signature' in params:
form_params.append(('VPSSignature', params['vps_signature']))
if 'expiry_date' in params:
form_params.append(('ExpiryDate', params['expiry_date']))
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['text/plain'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/x-www-form-urlencoded'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='str',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
def sage_pay_shout_v300(self, **kwargs):
"""
[Note: this API is intended to be invoked by the SagePay servers -- they are BillForward's way of informing client-side of the result of card-capture from within an iframe, using SagePay's FORM Protocol, v3.0] Generates iframe to which customer will be directed upon success or failure. The iframe contains JavaScript which attempts to send a message to BillForward.js on the client-side, which will handle the result.
{\"nickname\":\"Generate SagePay iframe redirect\",\"response\":\"sagePayShoutV3_00.html\",\"request\":\"sagePayShoutV3_00.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.sage_pay_shout_v300(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param list[str] organizations: A list of organization-IDs used to restrict the scope of API calls.Multiple organization-IDs may be specified by repeated use of the queryparameter. Example: ...&organizations=org1&organizations=org2
:param str s:
:param str t:
:param str c:
:param str e:
:param str l:
:param str d:
:return: str
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.sage_pay_shout_v300_with_http_info(**kwargs)
else:
(data) = self.sage_pay_shout_v300_with_http_info(**kwargs)
return data
def sage_pay_shout_v300_with_http_info(self, **kwargs):
"""
[Note: this API is intended to be invoked by the SagePay servers -- they are BillForward's way of informing client-side of the result of card-capture from within an iframe, using SagePay's FORM Protocol, v3.0] Generates iframe to which customer will be directed upon success or failure. The iframe contains JavaScript which attempts to send a message to BillForward.js on the client-side, which will handle the result.
{\"nickname\":\"Generate SagePay iframe redirect\",\"response\":\"sagePayShoutV3_00.html\",\"request\":\"sagePayShoutV3_00.request.html\"}
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.sage_pay_shout_v300_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param list[str] organizations: A list of organization-IDs used to restrict the scope of API calls.Multiple organization-IDs may be specified by repeated use of the queryparameter. Example: ...&organizations=org1&organizations=org2
:param str s:
:param str t:
:param str c:
:param str e:
:param str l:
:param str d:
:return: str
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['organizations', 's', 't', 'c', 'e', 'l', 'd']
all_params.append('callback')
all_params.append('_return_http_data_only')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method sage_pay_shout_v300" % key
)
params[key] = val
del params['kwargs']
resource_path = '/tokenization/sagepay-shout-v3-00'.replace('{format}', 'json')
path_params = {}
query_params = {}
if 'organizations' in params:
query_params['organizations'] = params['organizations']
if 's' in params:
query_params['s'] = params['s']
if 't' in params:
query_params['t'] = params['t']
if 'c' in params:
query_params['c'] = params['c']
if 'e' in params:
query_params['e'] = params['e']
if 'l' in params:
query_params['l'] = params['l']
if 'd' in params:
query_params['d'] = params['d']
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['text/html'])
if not header_params['Accept']:
del header_params['Accept']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['text/plain'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='str',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'))
| 46.58871 | 426 | 0.601494 | 3,788 | 34,662 | 5.316262 | 0.089229 | 0.047671 | 0.019863 | 0.021452 | 0.892244 | 0.87243 | 0.856639 | 0.849439 | 0.841643 | 0.831513 | 0 | 0.004846 | 0.309474 | 34,662 | 743 | 427 | 46.651413 | 0.836516 | 0.439155 | 0 | 0.649123 | 1 | 0 | 0.167865 | 0.047738 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038012 | false | 0 | 0.020468 | 0 | 0.114035 | 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 |
9f5b88a409389f54b1bf1a2665c5c7f3559d70f5 | 248 | py | Python | tests/test_launch_ssh.py | mushonnip/colab-ssh | a7ec5877e486da1cdf07e38294e450e64b0bf81e | [
"MIT"
] | 623 | 2020-06-22T10:47:07.000Z | 2022-03-31T15:23:08.000Z | tests/test_launch_ssh.py | mushonnip/colab-ssh | a7ec5877e486da1cdf07e38294e450e64b0bf81e | [
"MIT"
] | 63 | 2020-07-16T16:15:03.000Z | 2022-03-29T22:54:46.000Z | tests/test_launch_ssh.py | mushonnip/colab-ssh | a7ec5877e486da1cdf07e38294e450e64b0bf81e | [
"MIT"
] | 135 | 2020-06-29T18:13:31.000Z | 2022-03-25T10:41:48.000Z | from colab_ssh import launch_ssh_cloudflared
def test_success():
launch_ssh_cloudflared("123456", verbose=True, kill_other_processes=True)
def test_success_without_password():
launch_ssh_cloudflared(verbose=True, kill_other_processes=True)
| 24.8 | 75 | 0.83871 | 34 | 248 | 5.676471 | 0.5 | 0.139896 | 0.310881 | 0.207254 | 0.341969 | 0.341969 | 0 | 0 | 0 | 0 | 0 | 0.026432 | 0.084677 | 248 | 9 | 76 | 27.555556 | 0.823789 | 0 | 0 | 0 | 0 | 0 | 0.024194 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | true | 0.2 | 0.2 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
9f6f1a7aa710ba99fdb408d63954260717f62124 | 120 | py | Python | integration/tests_ok/ignore_asserts.py | jleverenz/hurl | b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3 | [
"Apache-2.0"
] | null | null | null | integration/tests_ok/ignore_asserts.py | jleverenz/hurl | b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3 | [
"Apache-2.0"
] | null | null | null | integration/tests_ok/ignore_asserts.py | jleverenz/hurl | b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3 | [
"Apache-2.0"
] | null | null | null | from app import app
from flask import Response
@app.route("/ignore_asserts")
def ignore_asserts():
return "Hello"
| 15 | 29 | 0.741667 | 17 | 120 | 5.117647 | 0.647059 | 0.298851 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.158333 | 120 | 7 | 30 | 17.142857 | 0.861386 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0.2 | true | 0 | 0.4 | 0.2 | 0.8 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
9faa50fff92905c1d31a80f9ec06eed3db2282a7 | 4,148 | py | Python | osfclient/tests/test_mkdir.py | RCOSDP/rdmclient | 72a4e81899a2b093c8924951d4f9bf21c29b9bfa | [
"BSD-3-Clause"
] | null | null | null | osfclient/tests/test_mkdir.py | RCOSDP/rdmclient | 72a4e81899a2b093c8924951d4f9bf21c29b9bfa | [
"BSD-3-Clause"
] | 4 | 2019-05-10T01:48:21.000Z | 2020-01-16T22:55:36.000Z | osfclient/tests/test_mkdir.py | yacchin1205/rdmclient | 96bf8397a246a5d4f24435db3581178d7ce56041 | [
"BSD-3-Clause"
] | 1 | 2019-05-10T01:33:32.000Z | 2019-05-10T01:33:32.000Z | """Test `osf remove` command"""
import pytest
from mock import call
from mock import patch
from osfclient import OSF
from osfclient.cli import makefolder
from osfclient.tests.mocks import MockArgs
from osfclient.tests.mocks import MockProject
def test_anonymous_doesnt_work():
args = MockArgs(project='1234')
def simple_getenv(key):
return None
with pytest.raises(SystemExit) as e:
with patch('osfclient.cli.os.getenv',
side_effect=simple_getenv) as mock_getenv:
makefolder(args)
expected = 'create a folder you need to provide a username and password'
assert expected in e.value.args[0]
@patch.object(OSF, 'project', return_value=MockProject('1234'))
def test_make_sub_folder(OSF_project):
args = MockArgs(project='1234', username='joe', target='osfstorage/a/new')
def simple_getenv(key):
if key == 'OSF_PASSWORD':
return 'secret'
with patch('osfclient.cli.os.getenv', side_effect=simple_getenv):
makefolder(args)
OSF_project.assert_called_once_with('1234')
MockProject = OSF_project.return_value
MockStorage = MockProject._storage_mock.return_value
for f in MockStorage.folders:
if f._path_mock.return_value == '/a':
assert call.create_folder('new') in f.mock_calls
@patch.object(OSF, 'project', return_value=MockProject('1234'))
def test_make_root_folder(OSF_project):
args = MockArgs(project='1234', username='joe', target='osfstorage/new')
def simple_getenv(key):
if key == 'OSF_PASSWORD':
return 'secret'
with patch('osfclient.cli.os.getenv', side_effect=simple_getenv):
makefolder(args)
OSF_project.assert_called_once_with('1234')
MockProject = OSF_project.return_value
MockStorage = MockProject._storage_mock.return_value
assert call.create_folder('new') in MockStorage.mock_calls
@patch.object(OSF, 'project', return_value=MockProject('1234'))
def test_make_recursive_sub_folder(OSF_project):
args = MockArgs(project='1234', username='joe', target='osfstorage/a/new1/new2')
def simple_getenv(key):
if key == 'OSF_PASSWORD':
return 'secret'
with patch('osfclient.cli.os.getenv', side_effect=simple_getenv):
makefolder(args)
OSF_project.assert_called_once_with('1234')
MockProject = OSF_project.return_value
MockStorage = MockProject._storage_mock.return_value
for f in MockStorage.folders:
if f._path_mock.return_value == '/a':
assert call.create_folder('new1') in f.mock_calls
assert call.create_folder().create_folder('new2') in f.mock_calls
@patch.object(OSF, 'project', return_value=MockProject('1234'))
def test_make_recursive_root_folder(OSF_project):
args = MockArgs(project='1234', username='joe', target='osfstorage/new1/new2')
def simple_getenv(key):
if key == 'OSF_PASSWORD':
return 'secret'
with patch('osfclient.cli.os.getenv', side_effect=simple_getenv):
makefolder(args)
OSF_project.assert_called_once_with('1234')
MockProject = OSF_project.return_value
MockStorage = MockProject._storage_mock.return_value
assert call.create_folder('new1') in MockStorage.mock_calls
assert call.create_folder('new1') in MockStorage.mock_calls
@patch.object(OSF, 'project', return_value=MockProject('1234'))
def test_wrong_storage_name(OSF_project):
args = MockArgs(project='1234', username='joe', target='DOESNTEXIST/a/a/a')
def simple_getenv(key):
if key == 'OSF_PASSWORD':
return 'secret'
with patch('osfclient.cli.os.getenv', side_effect=simple_getenv):
makefolder(args)
OSF_project.assert_called_once_with('1234')
# the mock storage is called osfstorage, so we should not call remove()
MockProject = OSF_project.return_value
MockStorage = MockProject._storage_mock.return_value
for f in MockStorage.files:
if f._path_mock.return_value == '/a/a/a':
assert call.remove() not in f.mock_calls
for f in MockStorage.folders:
assert call.remove() not in f.mock_calls
| 32.40625 | 84 | 0.706606 | 545 | 4,148 | 5.152294 | 0.154128 | 0.071225 | 0.05698 | 0.074786 | 0.833689 | 0.804487 | 0.789174 | 0.780983 | 0.758903 | 0.722578 | 0 | 0.021566 | 0.183944 | 4,148 | 127 | 85 | 32.661417 | 0.807976 | 0.023144 | 0 | 0.643678 | 0 | 0 | 0.129016 | 0.039545 | 0 | 0 | 0 | 0 | 0.16092 | 1 | 0.137931 | false | 0.068966 | 0.08046 | 0.011494 | 0.287356 | 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 | 0 | 0 | 0 | 7 |
9fb13e1200ac13dff1eea2d04b2b619b158f394a | 218 | py | Python | Desafios/Desafio21.py | Punkays/Phyton3-Estudos | 047ef62ddaf506fe3f653de3a1b2999874bbf12f | [
"Unlicense"
] | null | null | null | Desafios/Desafio21.py | Punkays/Phyton3-Estudos | 047ef62ddaf506fe3f653de3a1b2999874bbf12f | [
"Unlicense"
] | null | null | null | Desafios/Desafio21.py | Punkays/Phyton3-Estudos | 047ef62ddaf506fe3f653de3a1b2999874bbf12f | [
"Unlicense"
] | null | null | null |
# ! Desafio 21
# ! Faça um programa que abra e reproduza um arquivo MP3
import playsound
playsound.playsound('/home/michael/Downloads/mx-sound-theme-fresh-and-clean/Fresh_and_Clean/stereo/button-pressed.ogg', True) | 31.142857 | 125 | 0.784404 | 33 | 218 | 5.121212 | 0.818182 | 0.213018 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015385 | 0.105505 | 218 | 7 | 125 | 31.142857 | 0.851282 | 0.307339 | 0 | 0 | 0 | 0.5 | 0.648649 | 0.648649 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
9fc5ccb99ed09f44a228875b306c487ac5883631 | 2,332 | py | Python | tests/test_session_manager.py | barseghyanartur/sqlalchemy-unchained | 048b44f619f5b09a4bb133aee132d42e0fe06d4d | [
"MIT"
] | 6 | 2020-03-02T15:25:00.000Z | 2021-07-15T22:08:31.000Z | tests/test_session_manager.py | barseghyanartur/sqlalchemy-unchained | 048b44f619f5b09a4bb133aee132d42e0fe06d4d | [
"MIT"
] | null | null | null | tests/test_session_manager.py | barseghyanartur/sqlalchemy-unchained | 048b44f619f5b09a4bb133aee132d42e0fe06d4d | [
"MIT"
] | 1 | 2021-07-15T22:08:33.000Z | 2021-07-15T22:08:33.000Z | import pytest
from sqlalchemy_unchained import SessionManager
@pytest.fixture()
def session_manager(db):
yield SessionManager()
class TestSessionManager:
def test_it_requires_a_session_factory(self):
SessionManager.set_session_factory(None)
with pytest.raises(Exception) as e:
fail = SessionManager()
assert 'SessionManager was not properly initialized.' in str(e.value)
def test_save_without_commit(self, db, session_manager: SessionManager):
class Foobar(db.Model):
pass
db.Model.metadata.create_all()
foo = Foobar()
session_manager.save(foo)
assert foo in session_manager.session
with session_manager.no_autoflush:
assert not session_manager.query(Foobar).all()
def test_save_with_commit(self, db, session_manager: SessionManager):
class Foobar(db.Model):
pass
db.Model.metadata.create_all()
foo = Foobar()
session_manager.save(foo, commit=True)
assert foo in session_manager.session
assert session_manager.query(Foobar).all() == [foo]
def test_save_all_without_commit(self, db, session_manager: SessionManager):
class Foobar(db.Model):
pass
db.Model.metadata.create_all()
foo1 = Foobar()
foo2 = Foobar()
session_manager.save_all([foo1, foo2])
assert foo1 in session_manager.session
assert foo2 in session_manager.session
with session_manager.no_autoflush:
assert not session_manager.query(Foobar).all()
def test_save_all_with_commit(self, db, session_manager: SessionManager):
class Foobar(db.Model):
pass
db.Model.metadata.create_all()
foo1 = Foobar()
foo2 = Foobar()
session_manager.save_all([foo1, foo2])
assert foo1 in session_manager.session
assert foo2 in session_manager.session
assert session_manager.query(Foobar).all() == [foo1, foo2]
def test_commit(self, db, session_manager: SessionManager):
class Foobar(db.Model):
pass
db.Model.metadata.create_all()
foo = Foobar()
session_manager.save(foo)
session_manager.commit()
assert session_manager.query(Foobar).all() == [foo]
| 28.096386 | 80 | 0.656089 | 273 | 2,332 | 5.395604 | 0.190476 | 0.23761 | 0.065173 | 0.093686 | 0.745418 | 0.745418 | 0.733198 | 0.706042 | 0.706042 | 0.706042 | 0 | 0.008074 | 0.256432 | 2,332 | 82 | 81 | 28.439024 | 0.841407 | 0 | 0 | 0.666667 | 0 | 0 | 0.018868 | 0 | 0 | 0 | 0 | 0 | 0.210526 | 1 | 0.122807 | false | 0.087719 | 0.035088 | 0 | 0.263158 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
4cd9994cb3247f980f18d065d7c3797be2f2df25 | 4,663 | py | Python | old/obssheet.py | PracticalAstronomyCrew/data-pipeline | 336b17b6b610ef845be944c60e288c2ba77db3e4 | [
"MIT"
] | null | null | null | old/obssheet.py | PracticalAstronomyCrew/data-pipeline | 336b17b6b610ef845be944c60e288c2ba77db3e4 | [
"MIT"
] | null | null | null | old/obssheet.py | PracticalAstronomyCrew/data-pipeline | 336b17b6b610ef845be944c60e288c2ba77db3e4 | [
"MIT"
] | null | null | null | import os
import sys
import pyfits
root='/net/vega/data/users/observatory/images/'+str(sys.argv[1])+'/'
f = open("OBSSHEET_"+str(sys.argv[1])+".txt","w+")
f.write('BLAAUW OBSERVATORY OBSSHEET FOR '+str(sys.argv[1])+'\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write('STL-6303E IMAGER ('+str(len(os.listdir(root+'/STL-6303E/i/')))+' frames)\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write("{:28s} {:24s} {:15s} {:6s} {:5s} {:4s} {:4s}".format('FILENAME','DATE-OBS','IMAGETYP','FILTER','EXPT','XBIN','YBIN')+'\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
for filename in sorted(os.listdir(root+'/STL-6303E/i/')):
if filename.endswith(".FIT") or filename.endswith(".fits"):
hdu = pyfits.open(root+'/STL-6303E/i/'+filename)
f.write("{:28s} {:24s} {:15s} {:6s} {:5.1f} {:4d} {:4d}".format(filename,hdu[0].header['DATE-OBS'],hdu[0].header['IMAGETYP'],hdu[0].header['FILTER'],hdu[0].header['EXPTIME'],hdu[0].header['CCDXBIN'],hdu[0].header['CCDYBIN'])+'\n')
continue
else:
continue
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write('STL-6303E GUIDER ('+str(len(os.listdir(root+'/STL-6303E/g/')))+' frames)\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write("{:28s} {:24s} {:15s} {:6s} {:5s} {:4s} {:4s}".format('FILENAME','DATE-OBS','IMAGETYP','FILTER','EXPT','XBIN','YBIN')+'\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
for filename in sorted(os.listdir(root+'/STL-6303E/g/')):
if filename.endswith(".FIT") or filename.endswith(".fits"):
hdu = pyfits.open(root+'/STL-6303E/g/'+filename)
f.write("{:28s} {:24s} {:15s} {:6s} {:5.1f} {:4d} {:4d}".format(filename,hdu[0].header['DATE-OBS'],hdu[0].header['IMAGETYP'],hdu[0].header['FILTER'],hdu[0].header['EXPTIME'],hdu[0].header['CCDXBIN'],hdu[0].header['CCDYBIN'])+'\n')
continue
else:
continue
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write('ST-7 IMAGER ('+str(len(os.listdir(root+'/ST-7/i/')))+' frames)\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write("{:28s} {:24s} {:15s} {:6s} {:5s} {:4s} {:4s}".format('FILENAME','DATE-OBS','IMAGETYP','FILTER','EXPT','XBIN','YBIN')+'\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
for filename in sorted(os.listdir(root+'/ST-7/i/')):
if filename.endswith(".FIT") or filename.endswith(".fits"):
hdu = pyfits.open(root+'/ST-7/i/'+filename)
f.write("{:28s} {:24s} {:15s} {:6s} {:5.1f} {:4d} {:4d}".format(filename,hdu[0].header['DATE-OBS'],hdu[0].header['IMAGETYP'],hdu[0].header['FILTER'],hdu[0].header['EXPTIME'],hdu[0].header['CCDXBIN'],hdu[0].header['CCDYBIN'])+'\n')
continue
else:
continue
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write('ST-7 GUIDER ('+str(len(os.listdir(root+'/ST-7/g/')))+' frames)\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.write("{:28s} {:24s} {:15s} {:6s} {:5s} {:4s} {:4s}".format('FILENAME','DATE-OBS','IMAGETYP','FILTER','EXPT','XBIN','YBIN')+'\n')
f.write('--------------------------------------------------------------------------------------------'+'\n')
for filename in sorted(os.listdir(root+'/ST-7/g/')):
if filename.endswith(".FIT") or filename.endswith(".fits"):
hdu = pyfits.open(root+'/ST-7/g/'+filename)
f.write("{:28s} {:24s} {:15s} {:6s} {:5.1f} {:4d} {:4d}".format(filename,hdu[0].header['DATE-OBS'],hdu[0].header['IMAGETYP'],hdu[0].header['FILTER'],hdu[0].header['EXPTIME'],hdu[0].header['CCDXBIN'],hdu[0].header['CCDYBIN'])+'\n')
continue
else:
continue
f.write('--------------------------------------------------------------------------------------------'+'\n')
f.close()
| 68.573529 | 238 | 0.39674 | 491 | 4,663 | 3.765784 | 0.138493 | 0.094105 | 0.1298 | 0.05192 | 0.916171 | 0.916171 | 0.903191 | 0.850189 | 0.833964 | 0.833964 | 0 | 0.034833 | 0.070341 | 4,663 | 67 | 239 | 69.597015 | 0.391696 | 0 | 0 | 0.677966 | 0 | 0.135593 | 0.552005 | 0.324255 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.050847 | 0 | 0.050847 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 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 |
e268b2fea4f9fc2df7a1076c5e7036d782221030 | 10,861 | py | Python | models/rsrae.py | MPCAICDM/MPCA | c996435a0578ea4160f934bc01041c2ef23468f3 | [
"MIT"
] | null | null | null | models/rsrae.py | MPCAICDM/MPCA | c996435a0578ea4160f934bc01041c2ef23468f3 | [
"MIT"
] | null | null | null | models/rsrae.py | MPCAICDM/MPCA | c996435a0578ea4160f934bc01041c2ef23468f3 | [
"MIT"
] | null | null | null | from functools import reduce
from operator import mul
from typing import Tuple
import torch
import torch.nn as nn
from loss_functions.rsr_loss import RSRLoss
class _Encoder(nn.Module):
def __init__(self, in_channels, hidden_layer_sizes, activation, pad_mode):
super(_Encoder, self).__init__()
self.activation = activation
self.hidden_layer_sizes = hidden_layer_sizes
self.is_bn = True
if self.is_bn:
self.layers = nn.Sequential(
nn.Conv2d(in_channels=in_channels, out_channels=hidden_layer_sizes[0], kernel_size=5, stride=2,
padding=2), # 14*14
self.activation,
nn.BatchNorm2d(num_features=hidden_layer_sizes[0]),
nn.Conv2d(in_channels=hidden_layer_sizes[0], out_channels=hidden_layer_sizes[1], kernel_size=5, stride=2,
padding=2), # 7 * 7
self.activation,
nn.BatchNorm2d(num_features=hidden_layer_sizes[1]),
nn.Conv2d(in_channels=hidden_layer_sizes[1], out_channels=hidden_layer_sizes[2], kernel_size=3, stride=2,
padding=pad_mode), # 3 * 3
self.activation,
nn.BatchNorm2d(num_features=hidden_layer_sizes[2])
)
else:
self.layers = nn.Sequential(
nn.Conv2d(in_channels=in_channels, out_channels=hidden_layer_sizes[0], kernel_size=5, stride=2,
padding=2), # 14*14
self.activation,
#nn.BatchNorm2d(num_features=hidden_layer_sizes[0]),
nn.Conv2d(in_channels=hidden_layer_sizes[0], out_channels=hidden_layer_sizes[1], kernel_size=5,
stride=2,
padding=2), # 7 * 7
self.activation,
#nn.BatchNorm2d(num_features=hidden_layer_sizes[1]),
nn.Conv2d(in_channels=hidden_layer_sizes[1], out_channels=hidden_layer_sizes[2], kernel_size=3,
stride=2,
padding=pad_mode), # 3 * 3
self.activation,
#nn.BatchNorm2d(num_features=hidden_layer_sizes[2])
)
def forward(self, x):
return self.layers(x)
class _Decoder(nn.Module):
def __init__(self, in_channels,out_channels, h_shape, hidden_layer_sizes, activation, pad_mode):
super(_Decoder, self).__init__()
self.is_bn = True
self.activation = activation
self.hidden_layer_sizes = hidden_layer_sizes
self.h_shape = h_shape
h_channels = h_shape[0]*h_shape[1]*h_shape[2]
self.fc = nn.Linear(in_features=in_channels, out_features=h_channels)
self.bn = nn.BatchNorm2d(num_features=h_shape[0])
if self.is_bn:
self.deconv1 = nn.Sequential(
nn.ConvTranspose2d(in_channels=h_shape[0], out_channels=hidden_layer_sizes[1], kernel_size=3, stride=2,
padding=pad_mode, output_padding=pad_mode),
self.activation,
nn.BatchNorm2d(num_features=hidden_layer_sizes[1])
)
self.deconv2 = nn.Sequential(
nn.ConvTranspose2d(in_channels=hidden_layer_sizes[1], out_channels=hidden_layer_sizes[0], kernel_size=5,
stride=2,padding=2, output_padding=1),
self.activation,
nn.BatchNorm2d(num_features=hidden_layer_sizes[0])
)
self.deconv3 = nn.Sequential(
nn.ConvTranspose2d(in_channels=hidden_layer_sizes[0], out_channels=out_channels, kernel_size=5, stride=2,
padding=2, output_padding=1),
self.activation,
# nn.Conv2d(in_channels=16, out_channels=out_channels, kernel_size=1, bias=False),
# self.activation,
)
else:
self.deconv1 = nn.Sequential(
nn.ConvTranspose2d(in_channels=h_shape[0], out_channels=hidden_layer_sizes[1], kernel_size=3, stride=2,
padding=pad_mode, output_padding=pad_mode),
self.activation,
# nn.BatchNorm2d(num_features=hidden_layer_sizes[1])
)
self.deconv2 = nn.Sequential(
nn.ConvTranspose2d(in_channels=hidden_layer_sizes[1], out_channels=hidden_layer_sizes[0], kernel_size=5,
stride=2, padding=2, output_padding=1),
self.activation,
# nn.BatchNorm2d(num_features=hidden_layer_sizes[0])
)
self.deconv3 = nn.Sequential(
nn.ConvTranspose2d(in_channels=hidden_layer_sizes[0], out_channels=out_channels, kernel_size=5,
stride=2,
padding=2, output_padding=1),
self.activation,
# nn.Conv2d(in_channels=16, out_channels=out_channels, kernel_size=1, bias=False),
# self.activation,
)
def forward(self, x):
h = self.fc(x)
h = self.activation(h)
h = h.view(-1, *self.h_shape)
h = self.bn(h)
#print(h.shape)
h = self.deconv1(h)
h = self.deconv2(h)
h = self.deconv3(h)
return h
def l2_norm(input, dim):
norm = torch.norm(input, 2, dim, True)
output = torch.div(input, norm)
return output
class _Decoder_Linear(nn.Module):
def __init__(self, in_channels,out_channels, hidden_layer_sizes, activation, bn):
super(_Decoder_Linear, self).__init__()
self.activation = activation
self.hidden_layer_sizes = hidden_layer_sizes
if bn:
self.deconv = nn.Sequential(
nn.Linear(in_features=in_channels, out_features=hidden_layer_sizes[2]), # 14*14
self.activation,
nn.BatchNorm1d(num_features=hidden_layer_sizes[2]),
nn.Linear(in_features=hidden_layer_sizes[2], out_features=hidden_layer_sizes[1]), # 14*14
self.activation,
nn.BatchNorm1d(num_features=hidden_layer_sizes[1]),
nn.Linear(in_features=hidden_layer_sizes[1], out_features=hidden_layer_sizes[0]), # 14*14
self.activation,
nn.BatchNorm1d(num_features=hidden_layer_sizes[0]),
nn.Linear(in_features=hidden_layer_sizes[0], out_features=out_channels), # 14*14
self.activation,
)
else:
self.deconv = nn.Sequential(
nn.Linear(in_features=in_channels, out_features=hidden_layer_sizes[2]), # 14*14
self.activation,
nn.Linear(in_features=hidden_layer_sizes[2], out_features=hidden_layer_sizes[1]), # 14*14
self.activation,
nn.Linear(in_features=hidden_layer_sizes[1], out_features=hidden_layer_sizes[0]), # 14*14
self.activation,
nn.Linear(in_features=hidden_layer_sizes[0], out_features=out_channels), # 14*14
self.activation,
)
print('nobn')
def forward(self, x):
h = self.deconv(x)
return h
class _Encoder_Linear(nn.Module):
def __init__(self, in_channels, hidden_layer_sizes, activation, bn):
super(_Encoder_Linear, self).__init__()
self.activation = activation
self.hidden_layer_sizes = hidden_layer_sizes
if bn:
self.layers = nn.Sequential(
nn.Linear(in_features=in_channels, out_features=hidden_layer_sizes[0]), # 14*14
self.activation,
nn.BatchNorm1d(num_features=hidden_layer_sizes[0]),
nn.Linear(in_features=hidden_layer_sizes[0], out_features=hidden_layer_sizes[1]), # 14*14
self.activation,
nn.BatchNorm1d(num_features=hidden_layer_sizes[1]),
nn.Linear(in_features=hidden_layer_sizes[1], out_features=hidden_layer_sizes[2]), # 14*14
self.activation,
nn.BatchNorm1d(num_features=hidden_layer_sizes[2]),
)
else:
self.layers = nn.Sequential(
nn.Linear(in_features=in_channels, out_features=hidden_layer_sizes[0]), # 14*14
self.activation,
nn.Linear(in_features=hidden_layer_sizes[0], out_features=hidden_layer_sizes[1]), # 14*14
self.activation,
nn.Linear(in_features=hidden_layer_sizes[1], out_features=hidden_layer_sizes[2]), # 14*14
self.activation,
)
print('nobn')
def forward(self, x):
return self.layers(x)
class RSRAE(nn.Module):
def __init__(self, input_shape, hidden_layer_sizes, z_channels):
super(RSRAE, self).__init__()
h, w, c = input_shape
pad_mode = 1 if h % 8 == 0 else 0
self.encoder = _Encoder(in_channels=c, hidden_layer_sizes=hidden_layer_sizes, activation=nn.Tanh(), pad_mode=pad_mode)
h_shape = (hidden_layer_sizes[2], h//8, w//8)
h_channels = h_shape[0]*h_shape[1]*h_shape[2]
self.A = torch.nn.Parameter(torch.randn(h_channels, z_channels))
self.renorm = False
self.decoder = _Decoder(in_channels=z_channels, out_channels=c, h_shape=h_shape,pad_mode=pad_mode,
hidden_layer_sizes=hidden_layer_sizes,activation=nn.Tanh())
def forward(self, x):
y = self.encoder(x)
y = y.view(y.shape[0], -1)
y_rsr = torch.matmul(y, self.A)
if self.renorm:
z = l2_norm(y_rsr, -1)
else:
z = y_rsr
x_r = self.decoder(z)
#print(y.shape, y_rsr.shape, z.shape, x_r.shape)
return y, y_rsr, z, x_r
class RSRAE_Linear(nn.Module):
def __init__(self, input_shape, hidden_layer_sizes, z_channels, bn):
super(RSRAE_Linear, self).__init__()
c = input_shape
self.encoder = _Encoder_Linear(in_channels=c, hidden_layer_sizes=hidden_layer_sizes,
activation=nn.ReLU(),bn=bn)
self.bn = bn
self.A = torch.nn.Parameter(torch.randn(hidden_layer_sizes[2], z_channels))
self.renorm = False
self.decoder = _Decoder_Linear(in_channels=z_channels, out_channels=c,bn=bn,
hidden_layer_sizes=hidden_layer_sizes,activation=nn.ReLU())
def forward(self, x):
y = self.encoder(x)
y = y.view(y.shape[0], -1)
y_rsr = torch.matmul(y, self.A)
if self.renorm:
z = l2_norm(y_rsr, -1)
else:
z = y_rsr
x_r = self.decoder(z)
#print(y.shape, y_rsr.shape, z.shape, x_r.shape)
return y, y_rsr, z, x_r
| 40.984906 | 126 | 0.591198 | 1,362 | 10,861 | 4.408957 | 0.068282 | 0.146545 | 0.213156 | 0.151873 | 0.878768 | 0.871107 | 0.865612 | 0.830641 | 0.80816 | 0.767694 | 0 | 0.031611 | 0.306786 | 10,861 | 264 | 127 | 41.140152 | 0.765972 | 0.062333 | 0 | 0.63285 | 0 | 0 | 0.000788 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062802 | false | 0 | 0.028986 | 0.009662 | 0.154589 | 0.009662 | 0 | 0 | 0 | null | 0 | 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 | 7 |
e28e8794f4f59a53d464046576a0bd9097e64abc | 4,082 | py | Python | src/triage/component/results_schema/alembic/versions/b097e47ba829_remove_random_seed_from_experiments.py | josephbajor/triage_NN | cbaee6e5a06e597c91fec372717d89a2b5f34fa5 | [
"MIT"
] | 160 | 2017-06-13T09:59:59.000Z | 2022-03-21T22:00:35.000Z | src/triage/component/results_schema/alembic/versions/b097e47ba829_remove_random_seed_from_experiments.py | josephbajor/triage_NN | cbaee6e5a06e597c91fec372717d89a2b5f34fa5 | [
"MIT"
] | 803 | 2016-10-21T19:44:02.000Z | 2022-03-29T00:02:33.000Z | src/triage/component/results_schema/alembic/versions/b097e47ba829_remove_random_seed_from_experiments.py | josephbajor/triage_NN | cbaee6e5a06e597c91fec372717d89a2b5f34fa5 | [
"MIT"
] | 59 | 2017-01-31T22:10:22.000Z | 2022-03-19T12:35:03.000Z | """empty message
Revision ID: b097e47ba829
Revises: 45219f25072b
Create Date: 2021-05-20 15:40:47.288721
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'b097e47ba829'
down_revision = '45219f25072b'
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column('experiment_runs', 'matrices_errored',
existing_type=sa.INTEGER(),
nullable=True,
schema='triage_metadata')
op.alter_column('experiment_runs', 'matrices_made',
existing_type=sa.INTEGER(),
nullable=True,
schema='triage_metadata')
op.alter_column('experiment_runs', 'matrices_skipped',
existing_type=sa.INTEGER(),
nullable=True,
schema='triage_metadata')
op.alter_column('experiment_runs', 'models_errored',
existing_type=sa.INTEGER(),
nullable=True,
schema='triage_metadata')
op.alter_column('experiment_runs', 'models_made',
existing_type=sa.INTEGER(),
nullable=True,
schema='triage_metadata')
op.alter_column('experiment_runs', 'models_skipped',
existing_type=sa.INTEGER(),
nullable=True,
schema='triage_metadata')
op.drop_column('experiments', 'random_seed', schema='triage_metadata')
op.create_index(op.f('ix_triage_metadata_matrices_matrix_uuid'), 'matrices', ['matrix_uuid'], unique=True, schema='triage_metadata')
op.drop_index('ix_model_metadata_matrices_matrix_uuid', table_name='matrices', schema='triage_metadata')
op.create_index(op.f('ix_triage_metadata_models_model_hash'), 'models', ['model_hash'], unique=True, schema='triage_metadata')
op.drop_index('ix_model_metadata_models_model_hash', table_name='models', schema='triage_metadata')
op.create_foreign_key('models_built_in_experiment_run_fkey', 'models', 'experiment_runs', ['built_in_experiment_run'], ['id'], source_schema='triage_metadata', referent_schema='triage_metadata')
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint('models_built_in_experiment_run_fkey', 'models', schema='triage_metadata', type_='foreignkey')
op.create_index('ix_model_metadata_models_model_hash', 'models', ['model_hash'], unique=True, schema='triage_metadata')
op.drop_index(op.f('ix_triage_metadata_models_model_hash'), table_name='models', schema='triage_metadata')
op.create_index('ix_model_metadata_matrices_matrix_uuid', 'matrices', ['matrix_uuid'], unique=True, schema='triage_metadata')
op.drop_index(op.f('ix_triage_metadata_matrices_matrix_uuid'), table_name='matrices', schema='triage_metadata')
op.add_column('experiments', sa.Column('random_seed', sa.INTEGER(), autoincrement=False, nullable=True), schema='triage_metadata')
op.alter_column('experiment_runs', 'models_skipped',
existing_type=sa.INTEGER(),
nullable=False,
schema='triage_metadata')
op.alter_column('experiment_runs', 'models_made',
existing_type=sa.INTEGER(),
nullable=False,
schema='triage_metadata')
op.alter_column('experiment_runs', 'models_errored',
existing_type=sa.INTEGER(),
nullable=False,
schema='triage_metadata')
op.alter_column('experiment_runs', 'matrices_skipped',
existing_type=sa.INTEGER(),
nullable=False,
schema='triage_metadata')
op.alter_column('experiment_runs', 'matrices_made',
existing_type=sa.INTEGER(),
nullable=False,
schema='triage_metadata')
op.alter_column('experiment_runs', 'matrices_errored',
existing_type=sa.INTEGER(),
nullable=False,
schema='triage_metadata')
# ### end Alembic commands ###
| 46.91954 | 198 | 0.667075 | 459 | 4,082 | 5.592593 | 0.185185 | 0.158161 | 0.19478 | 0.179977 | 0.817296 | 0.817296 | 0.790806 | 0.753409 | 0.719907 | 0.719907 | 0 | 0.017316 | 0.207741 | 4,082 | 86 | 199 | 47.465116 | 0.776438 | 0.072269 | 0 | 0.705882 | 0 | 0 | 0.3512 | 0.103733 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.029412 | 0 | 0.058824 | 0 | 0 | 0 | 0 | null | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
e2bdba86f4d42714e2bc6a1aa03b813777340dbf | 759 | py | Python | miamm/menus/permissions.py | kimond/miamm | b351ea22c1d48e1ff7012099dda1474e4658a617 | [
"BSD-3-Clause"
] | 2 | 2015-01-27T15:03:58.000Z | 2015-01-27T16:29:56.000Z | miamm/menus/permissions.py | kimond/miamm | b351ea22c1d48e1ff7012099dda1474e4658a617 | [
"BSD-3-Clause"
] | null | null | null | miamm/menus/permissions.py | kimond/miamm | b351ea22c1d48e1ff7012099dda1474e4658a617 | [
"BSD-3-Clause"
] | null | null | null | from rest_framework import permissions
class IsOwnerOrMenuUser(permissions.BasePermission):
"""
Object-level permission to only allow owners of an object to access it.
Assumes the model instance has an `owner` attribute.
"""
def has_object_permission(self, request, view, obj):
# Instance must have an attribute named `owner`.
return obj.owner == request.user
class IsMenuOwner(permissions.BasePermission):
"""
Object-level permission to only allow owners of an object to access it.
Assumes the model instance has an `owner` attribute.
"""
def has_object_permission(self, request, view, obj):
# Instance must have an attribute named `owner`.
return obj.menu.owner == request.user
| 30.36 | 75 | 0.704875 | 96 | 759 | 5.520833 | 0.395833 | 0.09434 | 0.116981 | 0.135849 | 0.796226 | 0.796226 | 0.796226 | 0.796226 | 0.796226 | 0.796226 | 0 | 0 | 0.217391 | 759 | 24 | 76 | 31.625 | 0.892256 | 0.453228 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.142857 | 0.285714 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 |
e2f684b5def03f96162838cfbb6fe0d00601f5c4 | 3,808 | py | Python | examples/clingo/csp/csp/tests/test_fs.py | wanko/clingo | d0c434c977ebb742d8a486166bb64bfce5b5fc4b | [
"MIT"
] | null | null | null | examples/clingo/csp/csp/tests/test_fs.py | wanko/clingo | d0c434c977ebb742d8a486166bb64bfce5b5fc4b | [
"MIT"
] | null | null | null | examples/clingo/csp/csp/tests/test_fs.py | wanko/clingo | d0c434c977ebb742d8a486166bb64bfce5b5fc4b | [
"MIT"
] | null | null | null | """
Basic tests checking the whole system.
"""
import unittest
from csp.tests import solve
FSI = """\
machine(1). machine(2).
task(a). duration(a,1,3). duration(a,2,4).
task(b). duration(b,1,1). duration(b,2,6).
task(c). duration(c,1,5). duration(c,2,5).
"""
FSE = """\
1 { cycle(T,U) : task(U), U != T } 1 :- task(T).
1 { cycle(T,U) : task(T), U != T } 1 :- task(U).
reach(M) :- M = #min { T : task(T) }.
reach(U) :- reach(T), cycle(T,U).
:- task(T), not reach(T).
1 { start(T) : task(T) } 1.
permutation(T,U) :- cycle(T,U), not start(U).
seq((T,M),(T,M+1),D) :- task(T), duration(T,M,D), machine(M+1).
seq((T1,M),(T2,M),D) :- permutation(T1,T2), duration(T1,M,D).
&sum { 1*T1 + -1*T2 } <= -D :- seq(T1,T2,D).
&sum { -1*(T,M) } <= 0 :- duration(T,M,D).
&sum { 1*(T,M) } <= B :- duration(T,M,D), B=bound-D.
#show permutation/2.
"""
FSD = """\
1 { cycle(T,U) : task(U), U != T } 1 :- task(T).
1 { cycle(T,U) : task(T), U != T } 1 :- task(U).
reach(M) :- M = #min { T : task(T) }.
reach(U) :- reach(T), cycle(T,U).
:- task(T), not reach(T).
1 { start(T) : task(T) } 1.
permutation(T,U) :- cycle(T,U), not start(U).
seq((T,M),(T,M+1),D) :- task(T), duration(T,M,D), machine(M+1).
seq((T1,M),(T2,M),D) :- permutation(T1,T2), duration(T1,M,D).
&diff { T1-T2 } <= -D :- seq(T1,T2,D).
&diff { 0-(T,M) } <= 0 :- duration(T,M,D).
&sum { (T,M)-0 } <= B :- duration(T,M,D), B=bound-D.
#show permutation/2.
"""
SOL11 = [
['permutation(a,c)', 'permutation(b,a)', ('(a,1)', 1), ('(a,2)', 7), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 4), ('(c,2)', 11)],
['permutation(a,c)', 'permutation(b,a)', ('(a,1)', 1), ('(a,2)', 7), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 5), ('(c,2)', 11)],
['permutation(a,c)', 'permutation(b,a)', ('(a,1)', 1), ('(a,2)', 7), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 6), ('(c,2)', 11)],
['permutation(a,c)', 'permutation(b,a)', ('(a,1)', 2), ('(a,2)', 7), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 5), ('(c,2)', 11)],
['permutation(a,c)', 'permutation(b,a)', ('(a,1)', 2), ('(a,2)', 7), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 6), ('(c,2)', 11)],
['permutation(a,c)', 'permutation(b,a)', ('(a,1)', 3), ('(a,2)', 7), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 6), ('(c,2)', 11)]]
SOL16 = SOL11 + [
['permutation(b,c)', 'permutation(c,a)', ('(a,1)', 6), ('(a,2)', 12), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 1), ('(c,2)', 7)],
['permutation(b,c)', 'permutation(c,a)', ('(a,1)', 7), ('(a,2)', 12), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 1), ('(c,2)', 7)],
['permutation(b,c)', 'permutation(c,a)', ('(a,1)', 7), ('(a,2)', 12), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 2), ('(c,2)', 7)],
['permutation(b,c)', 'permutation(c,a)', ('(a,1)', 8), ('(a,2)', 12), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 1), ('(c,2)', 7)],
['permutation(b,c)', 'permutation(c,a)', ('(a,1)', 8), ('(a,2)', 12), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 2), ('(c,2)', 7)],
['permutation(b,c)', 'permutation(c,a)', ('(a,1)', 9), ('(a,2)', 12), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 1), ('(c,2)', 7)],
['permutation(b,c)', 'permutation(c,a)', ('(a,1)', 9), ('(a,2)', 12), ('(b,1)', 0), ('(b,2)', 1), ('(c,1)', 2), ('(c,2)', 7)]]
# pylint: disable=missing-docstring
class TestMain(unittest.TestCase):
def test_fse(self):
self.assertEqual(solve(FSE + FSI, maxint=10, options=["-c", "bound=16"]), [])
self.assertEqual(solve(FSE + FSI, maxint=11, options=["-c", "bound=16"]), SOL11)
self.assertEqual(solve(FSE + FSI, options=["-c", "bound=16"]), SOL16)
def test_fsd(self):
self.assertEqual(solve(FSD + FSI, maxint=10, options=["-c", "bound=16"]), [])
self.assertEqual(solve(FSD + FSI, maxint=11, options=["-c", "bound=16"]), SOL11)
self.assertEqual(solve(FSD + FSI, options=["-c", "bound=16"]), SOL16)
| 42.786517 | 130 | 0.452468 | 683 | 3,808 | 2.519766 | 0.096633 | 0.019756 | 0.022661 | 0.030215 | 0.825683 | 0.818129 | 0.748402 | 0.748402 | 0.712377 | 0.712377 | 0 | 0.081844 | 0.162553 | 3,808 | 88 | 131 | 43.272727 | 0.457824 | 0.01917 | 0 | 0.370968 | 0 | 0.209677 | 0.584384 | 0 | 0 | 0 | 0 | 0 | 0.096774 | 1 | 0.032258 | false | 0 | 0.032258 | 0 | 0.080645 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
391fbed68cba95e3034b6c7c5f4871ed7a4a4a26 | 635 | py | Python | Math/829. Consecutive Numbers Sum.py | beckswu/Leetcode | 480e8dc276b1f65961166d66efa5497d7ff0bdfd | [
"MIT"
] | 138 | 2020-02-08T05:25:26.000Z | 2021-11-04T11:59:28.000Z | Math/829. Consecutive Numbers Sum.py | beckswu/Leetcode | 480e8dc276b1f65961166d66efa5497d7ff0bdfd | [
"MIT"
] | null | null | null | Math/829. Consecutive Numbers Sum.py | beckswu/Leetcode | 480e8dc276b1f65961166d66efa5497d7ff0bdfd | [
"MIT"
] | 24 | 2021-01-02T07:18:43.000Z | 2022-03-20T08:17:54.000Z | class Solution:
def consecutiveNumbersSum(self, N: int) -> int:
count = 0
# x > 0 --> N/k - (k + 1)/2 > 0
upper_limit = ceil((2 * N + 0.25)**0.5 - 0.5) + 1
for k in range(1, upper_limit):
# x should be integer
if (N - k * (k + 1) // 2) % k == 0:
count += 1
return count
class Solution:
def consecutiveNumbersSum(self, N: int) -> int:
count = 0
upper_limit = ceil((2 * N + 0.25)**0.5 - 0.5) + 1
for k in range(1, upper_limit):
N -= k
if N % k == 0:
count += 1
return count | 27.608696 | 57 | 0.437795 | 92 | 635 | 2.978261 | 0.282609 | 0.029197 | 0.116788 | 0.270073 | 0.908759 | 0.872263 | 0.733577 | 0.733577 | 0.733577 | 0.733577 | 0 | 0.086957 | 0.420472 | 635 | 23 | 58 | 27.608696 | 0.657609 | 0.077165 | 0 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0 | 0 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
3929389259543b132899ae51dc550238c09f5a4e | 17,518 | py | Python | mimecast/komand_mimecast/util/util.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | mimecast/komand_mimecast/util/util.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | mimecast/komand_mimecast/util/util.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | from komand_mimecast.util.log_helper import LogHelper
import json
import base64
import hashlib
import hmac
import uuid
import datetime
import requests
# For mapping params{} to the values needed for request payloads
def normalize(key: str, value: str) -> dict:
if '_' not in key:
if value != '' and value != 'none':
return {key: value}
return {}
chunks = list(filter(lambda c: len(c), key.split("_")))
for i in range(1, len(chunks)):
chunks[i] = chunks[i].capitalize()
if value != '' and value != 'none':
return {''.join(chunks): value}
return {}
class Authentication:
# URI's for login and logout
_URI_LOGIN = '/api/login/login'
_URI_LOGOUT = '/api/login/logout'
def __init__(self, logger=None):
if logger:
self.logger = logger
else:
self.logger = LogHelper().logger
def login(self, url: str, username: str, password: str, auth_type: str, app_id: str) -> dict:
"""
This method is used to create the initial connection and return an access and secret key
for further api calls
:param url: The server URL
:param username: Username to login with
:param password: Users password
:param auth_type: The type of authentication: cloud or domain
:param app_id: The application ID for the app that will be logging in
:return: an access_key and a secret_key
"""
# Set full URL
url = url + self._URI_LOGIN
# Base64 encode credentials
credentials = username + ':' + password
credentials = base64.b64encode(credentials.encode())
credentials = credentials.decode("UTF-8")
# Generate request header values
request_id = str(uuid.uuid4())
hdr_date = datetime.datetime.utcnow().strftime("%a, %d %b %Y %H:%M:%S") + " UTC"
# Create request headers
headers = {
'Authorization': auth_type + ' ' + credentials,
'x-mc-app-id': app_id,
'x-mc-date': hdr_date,
'x-mc-req-id': request_id,
'Content-Type': 'application/json'
}
payload = {
"data": [
{
"userName": username
}
]
}
try:
request = requests.post(url=url, headers=headers, data=str(payload))
except requests.exceptions.RequestException as e:
raise Exception(e)
if request.status_code in range(300, 399):
raise Exception(f'Redirect error. The Mimecast server responded with a {request.status_code} code.'
f' Check the Mimecast URL and contact support if this issue persists')
if request.status_code in range(400, 499):
self.logger.error(request.text)
raise Exception(f'Bad request error. The Mimecast server responded with a {request.status_code} code.'
f' Check the username and password, as well as the Mimecast app ID and key.')
try:
response = request.json()
except json.decoder.JSONDecodeError:
self.logger.error(request.text)
raise Exception(
'Unknown error. The Mimecast server did not respond correctly. Response not in JSON format. Response in logs')
try:
# Catch errors returned by Mimecast api
if response['fail']:
self.logger.error(response['fail'])
raise Exception(
'Failed to authenticate. Please double-check the credentials in the Connection.'
' If the issue persists, please contact support.'
' Status code is {code},'
' Mimecast error message: {message}. See log for more details'.format(code=response['meta']['status'],
message=response['fail'][0]['message']))
except KeyError:
self.logger.error(response)
raise Exception(
'Unknown error. The Mimecast server did not respond correctly. See the response in logs')
try:
access_key = response['data'][0]['accessKey']
except KeyError:
self.logger.error(response)
raise Exception('Error: Unable to authenticate to the Mimecast API.'
' Please double-check the credentials in the Connection.'
' If the issue persists, please contact support. See log for more details')
try:
secret_key = response['data'][0]['secretKey']
self.logger.error(response)
except KeyError:
raise Exception('Error: Unable to authenticate to the Mimecast API.'
' Please double-check the credentials in the Connection.'
' If the issue persists, please contact support. See log for more details')
return {'access_key': access_key, 'secret_key': secret_key}
def refresh_key(self, url: str, username: str, password: str,
access_key: str, app_id: str, auth_type: str)-> dict:
"""
This method is used to refresh a connection if the connection has timed out.
:param url: The server URL
:param username: Username to login with
:param password: Users password
:param access_key: The access_key for the connection that needs to be refreshed
:param auth_type: The type of authentication: cloud or domain
:param app_id: The application ID for the app that will be logging in
:param auth_type: The auth type used
:return: A dictionary that contains information about the connection refresh
"""
# Set full URL
url = url + self._URI_LOGIN
# Generate request header values
request_id = str(uuid.uuid4())
hdr_date = datetime.datetime.utcnow().strftime("%a, %d %b %Y %H:%M:%S") + " UTC"
# Base64 encode credentials
credentials = username + ':' + password
credentials = base64.b64encode(credentials.encode())
credentials = credentials.decode("UTF-8")
# Create request headers
headers = {
'Authorization': auth_type + ' ' + credentials,
'x-mc-app-id': app_id,
'x-mc-date': hdr_date,
'x-mc-req-id': request_id,
'Content-Type': 'application/json'
}
payload = {
"data": [
{
"userName": username,
"accessKey": access_key
}
]
}
try:
request = requests.post(url=url, headers=headers, data=str(payload))
except requests.exceptions.RequestException as e:
raise Exception(e)
try:
response = request.json()
except json.decoder.JSONDecodeError:
self.logger.error(request.text)
raise Exception(
'Unknown error. The Mimecast server did not respond correctly. Response not in JSON format. Response in logs')
try:
# Catch errors returned by Mimecast api
if response['fail']:
self.logger.error(response['fail'])
raise Exception(
'Failed to refresh key. Status code is {}, see log for details'.format(
response['meta']['status']))
except KeyError:
self.logger.error(response)
raise Exception(
'Unknown error. Mimecast server did not respond correctly. Response in logs')
return response
def logout(self, url: str, username: str, password: str, auth_type: str,
access_key: str, secret_key: str, app_id: str, app_key: str, refresh=False)-> dict:
"""
This method removes the binding of an access and secret key to a username.
This method should always be called when an action is finished, as too many keys bound to
a user will lockout the user
:param url: The server URL
:param username: Username to login with
:param password: Users password
:param auth_type: The type of authentication: cloud or domain
:param access_key: The access key to unbind
:param secret_key: The secret key to unbind
:param app_id: The application ID for the app that will be logging in
:param app_key: The key associated with the app_id
:param refresh: Used to stop possible infinite loop with key refresh recursive function
:return: Dictionary with information about logout
"""
# Set full URL
url = url + self._URI_LOGOUT
# Generate request header values
request_id = str(uuid.uuid4())
hdr_date = datetime.datetime.utcnow().strftime("%a, %d %b %Y %H:%M:%S") + " UTC"
# Decode secret key
encoded_secret_key = secret_key.encode()
bytes_secret_key = base64.b64decode(encoded_secret_key)
# Create hmac message
msg = ':'.join([hdr_date, request_id, self._URI_LOGOUT, app_key])
# Create the HMAC SHA1 of the Base64 decoded secret key for the Authorization header
hmac_sha1 = hmac.new(bytes_secret_key, msg.encode(), digestmod=hashlib.sha1).digest()
# Use the HMAC SHA1 value to sign the hdrDate + ":" requestId + ":" + URI + ":" + appkey
sig = base64.encodebytes(hmac_sha1).rstrip()
sig = sig.decode('UTF-8')
# Create request headers
headers = {
'Authorization': 'MC ' + access_key + ':' + sig,
'x-mc-app-id': app_id,
'x-mc-date': hdr_date,
'x-mc-req-id': request_id,
'Content-Type': 'application/json'
}
payload = {
"data": [
{
"accessKey": access_key
}
]
}
# Logout
try:
request = requests.post(url=url, headers=headers, data=str(payload))
except requests.exceptions.RequestException as e:
raise Exception(e)
try:
response = request.json()
except json.decoder.JSONDecodeError:
self.logger.error(request.text)
raise Exception(
'Unknown error. The Mimecast server did not respond correctly. Response not in JSON format. Response in logs')
# Check for expired key
try:
if response['fail']:
for errors in response['fail']:
for codes in errors['errors']:
if codes['code'] == 'err_xdk_binding_expired':
self.logger.info('Key expired. Refreshing')
# Try to refresh key
self.refresh_key(url, username,
password, access_key,
app_id, auth_type)
# Rerun logout with refreshed key
if not refresh:
self.logout(url, username, password,
auth_type, access_key,
secret_key, app_id, access_key, True)
else:
self.logger.error(response)
raise Exception('Something went wrong. Contact support')
except KeyError:
self.logger.error(response)
raise Exception(
'Unknown error. The Mimecast server did not respond correctly. Response in logs')
return response
class MimecastRequests:
def __init__(self, logger=None):
if logger:
self.logger = logger
else:
self.logger = LogHelper().logger
def mimecast_post(self, url: str, uri: str, username: str, password: str, auth_type: str,
access_key: str, secret_key: str, app_id: str, app_key: str, data: dict, refresh=False)-> dict:
"""
This method will send a properly formatted post request to the Mimecast server
:param url: The server URL
:param uri: The URI for the api call
:param username: Username to login with
:param password: Users password
:param auth_type: The type of authentication: cloud or domain
:param access_key: The access key for the session
:param secret_key: The secret key for the session
:param app_id: The application ID for the app that will be logging in
:param app_key: The key associated with the app_id
:param data: The payload for the api call
:param refresh: Used to stop possible infinite loop with key refresh recursive function
:return:
"""
# Set full URL
url = url + uri
# Generate request header values
request_id = str(uuid.uuid4())
hdr_date = datetime.datetime.utcnow().strftime("%a, %d %b %Y %H:%M:%S") + " UTC"
# Decode secret key
encoded_secret_key = secret_key.encode()
bytes_secret_key = base64.b64decode(encoded_secret_key)
# Create hmac message
msg = ':'.join([hdr_date, request_id, uri, app_key])
# Create the HMAC SHA1 of the Base64 decoded secret key for the Authorization header
hmac_sha1 = hmac.new(bytes_secret_key, msg.encode(), digestmod=hashlib.sha1).digest()
# Use the HMAC SHA1 value to sign the hdrDate + ":" requestId + ":" + URI + ":" + appkey
sig = base64.encodebytes(hmac_sha1).rstrip()
sig = sig.decode('UTF-8')
# Create request headers
headers = {
'Authorization': 'MC ' + access_key + ':' + sig,
'x-mc-app-id': app_id,
'x-mc-date': hdr_date,
'x-mc-req-id': request_id,
'Content-Type': 'application/json'
}
# build payload data
if data is not None:
payload = {
'data': [
data
]
}
else:
payload = {
'data': [
]
}
try:
request = requests.post(url=url, headers=headers, data=str(payload))
except requests.exceptions.RequestException as e:
logout = Authentication()
logout.logout(url, username, password,
auth_type, access_key,
secret_key, app_id, access_key)
raise Exception(e)
try:
response = request.json()
except json.decoder.JSONDecodeError:
self.logger.error(request.text)
logout = Authentication()
logout.logout(url, username, password,
auth_type, access_key,
secret_key, app_id, access_key)
raise Exception(
'Unknown error. The Mimecast server did not respond correctly. Response not in JSON format. Response in logs')
try:
# Check for expired key
if response['fail']:
for errors in response['fail']:
for codes in errors['errors']:
if codes['code'] == 'err_xdk_binding_expired':
self.logger.info('Key expired. Refreshing')
# Try to refresh key
refresh_key = Authentication()
refresh_key.refresh_key(url, username,
password, access_key,
app_id, auth_type)
# Resend request after key refresh
if not refresh:
response = self.mimecast_post(url, uri,
access_key, secret_key,
app_id, app_key, data, True)
except KeyError:
self.logger.error(response)
logout = Authentication()
logout.logout(url, username, password,
auth_type, access_key,
secret_key, app_id, access_key)
raise Exception(
'Unknown error. The Mimecast server did not respond correctly. Response in logs')
try:
if response['fail']:
self.logger.error(response['fail'])
logout = Authentication()
logout.logout(url, username, password,
auth_type, access_key,
secret_key, app_id, access_key)
raise Exception(
'Server request failed. Status code is {}, see log for details'.format(
response['meta']['status']))
except KeyError:
self.logger.error(response)
logout = Authentication()
logout.logout(url, username, password,
auth_type, access_key,
secret_key, app_id, access_key)
raise Exception(
'Unknown error. The Mimecast server did not respond correctly. Response in logs')
return response
| 40.364055 | 130 | 0.54875 | 1,920 | 17,518 | 4.914583 | 0.128125 | 0.031475 | 0.025435 | 0.026812 | 0.804472 | 0.784549 | 0.75922 | 0.743853 | 0.726155 | 0.726155 | 0 | 0.005774 | 0.367222 | 17,518 | 433 | 131 | 40.457275 | 0.845467 | 0.188264 | 0 | 0.71777 | 0 | 0 | 0.18887 | 0.006385 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0.052265 | 0.027875 | 0 | 0.094077 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
1a2fbb3f9d4cbb78cfc718b436a869fb005a7f82 | 37 | py | Python | stubs/traceback.py | waltermoreira/adama-app | 96a795992f64e21a48762fe6902ef22775d086a9 | [
"MIT"
] | null | null | null | stubs/traceback.py | waltermoreira/adama-app | 96a795992f64e21a48762fe6902ef22775d086a9 | [
"MIT"
] | 1 | 2021-06-01T21:43:58.000Z | 2021-06-01T21:43:58.000Z | stubs/traceback.py | waltermoreira/adama-app | 96a795992f64e21a48762fe6902ef22775d086a9 | [
"MIT"
] | null | null | null | import typing
def format_exc(): pass | 12.333333 | 22 | 0.783784 | 6 | 37 | 4.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 37 | 3 | 22 | 12.333333 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0.5 | 0.5 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 8 |
1a4b4162b5d44ddfa8cbdaf34b3177735085dc69 | 182 | py | Python | src/util/init_random_seeds.py | YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | [
"MIT"
] | 59 | 2020-10-28T03:09:05.000Z | 2022-01-29T22:10:04.000Z | src/util/init_random_seeds.py | YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | [
"MIT"
] | 4 | 2020-12-24T11:00:40.000Z | 2021-05-22T06:14:27.000Z | src/util/init_random_seeds.py | YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | [
"MIT"
] | 2 | 2020-10-29T01:15:03.000Z | 2021-04-20T11:55:51.000Z | import tensorflow as tf
import numpy as np
from util import *
def init_random_seeds():
tf.set_random_seed(config.random_seed.tensorflow)
np.random.seed(config.random_seed.numpy)
| 20.222222 | 50 | 0.807692 | 30 | 182 | 4.7 | 0.5 | 0.283688 | 0.22695 | 0.312057 | 0.368794 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.10989 | 182 | 8 | 51 | 22.75 | 0.87037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0.5 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
1a52da598aba93e174058e15f4fe99f95364b27b | 119 | py | Python | 3d_fitting/combine_data.py | duguqiankun/NeuralVoicePuppetry | 26b87d98a1ecfe6e4a6738641e6436ab1a9ece31 | [
"BSD-3-Clause"
] | null | null | null | 3d_fitting/combine_data.py | duguqiankun/NeuralVoicePuppetry | 26b87d98a1ecfe6e4a6738641e6436ab1a9ece31 | [
"BSD-3-Clause"
] | null | null | null | 3d_fitting/combine_data.py | duguqiankun/NeuralVoicePuppetry | 26b87d98a1ecfe6e4a6738641e6436ab1a9ece31 | [
"BSD-3-Clause"
] | 1 | 2021-12-21T08:20:34.000Z | 2021-12-21T08:20:34.000Z | import os
src = 'media/frame_avata_adam_gt_fit/train'
dst = 'media/frame_avata_adam_gt_fit_cyaudio/train'
number = | 14.875 | 51 | 0.789916 | 20 | 119 | 4.25 | 0.65 | 0.235294 | 0.352941 | 0.447059 | 0.564706 | 0.564706 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 119 | 8 | 52 | 14.875 | 0.809524 | 0 | 0 | 0 | 0 | 0 | 0.65 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.25 | null | null | 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 | 1 | 1 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
1a9226b9d379380f9e9c7ec2389dee7fb49d1868 | 60,415 | py | Python | sdk/python/pulumi_oci/database/autonomous_exadata_infrastructure.py | EladGabay/pulumi-oci | 6841e27d4a1a7e15c672306b769912efbfd3ba99 | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2021-08-17T11:14:46.000Z | 2021-12-31T02:07:03.000Z | sdk/python/pulumi_oci/database/autonomous_exadata_infrastructure.py | pulumi-oci/pulumi-oci | 6841e27d4a1a7e15c672306b769912efbfd3ba99 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-09-06T11:21:29.000Z | 2021-09-06T11:21:29.000Z | sdk/python/pulumi_oci/database/autonomous_exadata_infrastructure.py | pulumi-oci/pulumi-oci | 6841e27d4a1a7e15c672306b769912efbfd3ba99 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-08-24T23:31:30.000Z | 2022-01-02T19:26:54.000Z | # 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
from . import outputs
from ._inputs import *
__all__ = ['AutonomousExadataInfrastructureArgs', 'AutonomousExadataInfrastructure']
@pulumi.input_type
class AutonomousExadataInfrastructureArgs:
def __init__(__self__, *,
availability_domain: pulumi.Input[str],
compartment_id: pulumi.Input[str],
shape: pulumi.Input[str],
subnet_id: pulumi.Input[str],
create_async: Optional[pulumi.Input[bool]] = None,
defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
display_name: Optional[pulumi.Input[str]] = None,
domain: Optional[pulumi.Input[str]] = None,
freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
license_model: Optional[pulumi.Input[str]] = None,
maintenance_window_details: Optional[pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']] = None,
nsg_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a AutonomousExadataInfrastructure resource.
:param pulumi.Input[str] availability_domain: The availability domain where the Autonomous Exadata Infrastructure is located.
:param pulumi.Input[str] compartment_id: (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment the Autonomous Exadata Infrastructure belongs in.
:param pulumi.Input[str] shape: The shape of the Autonomous Exadata Infrastructure. The shape determines resources allocated to the Autonomous Exadata Infrastructure (CPU cores, memory and storage). To get a list of shapes, use the ListDbSystemShapes operation.
:param pulumi.Input[str] subnet_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the subnet the Autonomous Exadata Infrastructure is associated with.
:param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm).
:param pulumi.Input[str] display_name: (Updatable) The user-friendly name for the Autonomous Exadata Infrastructure. It does not have to be unique.
:param pulumi.Input[str] domain: A domain name used for the Autonomous Exadata Infrastructure. If the Oracle-provided Internet and VCN Resolver is enabled for the specified subnet, the domain name for the subnet is used (don't provide one). Otherwise, provide a valid DNS domain name. Hyphens (-) are not permitted.
:param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}`
:param pulumi.Input[str] license_model: The Oracle license model that applies to all the databases in the Autonomous Exadata Infrastructure. The default is BRING_YOUR_OWN_LICENSE.
:param pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs'] maintenance_window_details: (Updatable) The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
:param pulumi.Input[Sequence[pulumi.Input[str]]] nsg_ids: (Updatable) A list of the [OCIDs](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the network security groups (NSGs) that this resource belongs to. Setting this to an empty array after the list is created removes the resource from all NSGs. For more information about NSGs, see [Security Rules](https://docs.cloud.oracle.com/iaas/Content/Network/Concepts/securityrules.htm). **NsgIds restrictions:**
* Autonomous Databases with private access require at least 1 Network Security Group (NSG). The nsgIds array cannot be empty.
"""
pulumi.set(__self__, "availability_domain", availability_domain)
pulumi.set(__self__, "compartment_id", compartment_id)
pulumi.set(__self__, "shape", shape)
pulumi.set(__self__, "subnet_id", subnet_id)
if create_async is not None:
pulumi.set(__self__, "create_async", create_async)
if defined_tags is not None:
pulumi.set(__self__, "defined_tags", defined_tags)
if display_name is not None:
pulumi.set(__self__, "display_name", display_name)
if domain is not None:
pulumi.set(__self__, "domain", domain)
if freeform_tags is not None:
pulumi.set(__self__, "freeform_tags", freeform_tags)
if license_model is not None:
pulumi.set(__self__, "license_model", license_model)
if maintenance_window_details is not None:
pulumi.set(__self__, "maintenance_window_details", maintenance_window_details)
if nsg_ids is not None:
pulumi.set(__self__, "nsg_ids", nsg_ids)
@property
@pulumi.getter(name="availabilityDomain")
def availability_domain(self) -> pulumi.Input[str]:
"""
The availability domain where the Autonomous Exadata Infrastructure is located.
"""
return pulumi.get(self, "availability_domain")
@availability_domain.setter
def availability_domain(self, value: pulumi.Input[str]):
pulumi.set(self, "availability_domain", value)
@property
@pulumi.getter(name="compartmentId")
def compartment_id(self) -> pulumi.Input[str]:
"""
(Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment the Autonomous Exadata Infrastructure belongs in.
"""
return pulumi.get(self, "compartment_id")
@compartment_id.setter
def compartment_id(self, value: pulumi.Input[str]):
pulumi.set(self, "compartment_id", value)
@property
@pulumi.getter
def shape(self) -> pulumi.Input[str]:
"""
The shape of the Autonomous Exadata Infrastructure. The shape determines resources allocated to the Autonomous Exadata Infrastructure (CPU cores, memory and storage). To get a list of shapes, use the ListDbSystemShapes operation.
"""
return pulumi.get(self, "shape")
@shape.setter
def shape(self, value: pulumi.Input[str]):
pulumi.set(self, "shape", value)
@property
@pulumi.getter(name="subnetId")
def subnet_id(self) -> pulumi.Input[str]:
"""
The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the subnet the Autonomous Exadata Infrastructure is associated with.
"""
return pulumi.get(self, "subnet_id")
@subnet_id.setter
def subnet_id(self, value: pulumi.Input[str]):
pulumi.set(self, "subnet_id", value)
@property
@pulumi.getter(name="createAsync")
def create_async(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "create_async")
@create_async.setter
def create_async(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "create_async", value)
@property
@pulumi.getter(name="definedTags")
def defined_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm).
"""
return pulumi.get(self, "defined_tags")
@defined_tags.setter
def defined_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "defined_tags", value)
@property
@pulumi.getter(name="displayName")
def display_name(self) -> Optional[pulumi.Input[str]]:
"""
(Updatable) The user-friendly name for the Autonomous Exadata Infrastructure. It does not have to be unique.
"""
return pulumi.get(self, "display_name")
@display_name.setter
def display_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "display_name", value)
@property
@pulumi.getter
def domain(self) -> Optional[pulumi.Input[str]]:
"""
A domain name used for the Autonomous Exadata Infrastructure. If the Oracle-provided Internet and VCN Resolver is enabled for the specified subnet, the domain name for the subnet is used (don't provide one). Otherwise, provide a valid DNS domain name. Hyphens (-) are not permitted.
"""
return pulumi.get(self, "domain")
@domain.setter
def domain(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "domain", value)
@property
@pulumi.getter(name="freeformTags")
def freeform_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}`
"""
return pulumi.get(self, "freeform_tags")
@freeform_tags.setter
def freeform_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "freeform_tags", value)
@property
@pulumi.getter(name="licenseModel")
def license_model(self) -> Optional[pulumi.Input[str]]:
"""
The Oracle license model that applies to all the databases in the Autonomous Exadata Infrastructure. The default is BRING_YOUR_OWN_LICENSE.
"""
return pulumi.get(self, "license_model")
@license_model.setter
def license_model(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "license_model", value)
@property
@pulumi.getter(name="maintenanceWindowDetails")
def maintenance_window_details(self) -> Optional[pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']]:
"""
(Updatable) The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
"""
return pulumi.get(self, "maintenance_window_details")
@maintenance_window_details.setter
def maintenance_window_details(self, value: Optional[pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']]):
pulumi.set(self, "maintenance_window_details", value)
@property
@pulumi.getter(name="nsgIds")
def nsg_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
(Updatable) A list of the [OCIDs](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the network security groups (NSGs) that this resource belongs to. Setting this to an empty array after the list is created removes the resource from all NSGs. For more information about NSGs, see [Security Rules](https://docs.cloud.oracle.com/iaas/Content/Network/Concepts/securityrules.htm). **NsgIds restrictions:**
* Autonomous Databases with private access require at least 1 Network Security Group (NSG). The nsgIds array cannot be empty.
"""
return pulumi.get(self, "nsg_ids")
@nsg_ids.setter
def nsg_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "nsg_ids", value)
@pulumi.input_type
class _AutonomousExadataInfrastructureState:
def __init__(__self__, *,
availability_domain: Optional[pulumi.Input[str]] = None,
compartment_id: Optional[pulumi.Input[str]] = None,
create_async: Optional[pulumi.Input[bool]] = None,
defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
display_name: Optional[pulumi.Input[str]] = None,
domain: Optional[pulumi.Input[str]] = None,
freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
hostname: Optional[pulumi.Input[str]] = None,
last_maintenance_run_id: Optional[pulumi.Input[str]] = None,
license_model: Optional[pulumi.Input[str]] = None,
lifecycle_details: Optional[pulumi.Input[str]] = None,
maintenance_window: Optional[pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowArgs']] = None,
maintenance_window_details: Optional[pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']] = None,
next_maintenance_run_id: Optional[pulumi.Input[str]] = None,
nsg_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
scan_dns_name: Optional[pulumi.Input[str]] = None,
shape: Optional[pulumi.Input[str]] = None,
state: Optional[pulumi.Input[str]] = None,
subnet_id: Optional[pulumi.Input[str]] = None,
time_created: Optional[pulumi.Input[str]] = None,
zone_id: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering AutonomousExadataInfrastructure resources.
:param pulumi.Input[str] availability_domain: The availability domain where the Autonomous Exadata Infrastructure is located.
:param pulumi.Input[str] compartment_id: (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment the Autonomous Exadata Infrastructure belongs in.
:param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm).
:param pulumi.Input[str] display_name: (Updatable) The user-friendly name for the Autonomous Exadata Infrastructure. It does not have to be unique.
:param pulumi.Input[str] domain: A domain name used for the Autonomous Exadata Infrastructure. If the Oracle-provided Internet and VCN Resolver is enabled for the specified subnet, the domain name for the subnet is used (don't provide one). Otherwise, provide a valid DNS domain name. Hyphens (-) are not permitted.
:param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}`
:param pulumi.Input[str] hostname: The host name for the Autonomous Exadata Infrastructure node.
:param pulumi.Input[str] last_maintenance_run_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the last maintenance run.
:param pulumi.Input[str] license_model: The Oracle license model that applies to all the databases in the Autonomous Exadata Infrastructure. The default is BRING_YOUR_OWN_LICENSE.
:param pulumi.Input[str] lifecycle_details: Additional information about the current lifecycle state of the Autonomous Exadata Infrastructure.
:param pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowArgs'] maintenance_window: The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
:param pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs'] maintenance_window_details: (Updatable) The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
:param pulumi.Input[str] next_maintenance_run_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the next maintenance run.
:param pulumi.Input[Sequence[pulumi.Input[str]]] nsg_ids: (Updatable) A list of the [OCIDs](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the network security groups (NSGs) that this resource belongs to. Setting this to an empty array after the list is created removes the resource from all NSGs. For more information about NSGs, see [Security Rules](https://docs.cloud.oracle.com/iaas/Content/Network/Concepts/securityrules.htm). **NsgIds restrictions:**
* Autonomous Databases with private access require at least 1 Network Security Group (NSG). The nsgIds array cannot be empty.
:param pulumi.Input[str] scan_dns_name: The FQDN of the DNS record for the SCAN IP addresses that are associated with the Autonomous Exadata Infrastructure.
:param pulumi.Input[str] shape: The shape of the Autonomous Exadata Infrastructure. The shape determines resources allocated to the Autonomous Exadata Infrastructure (CPU cores, memory and storage). To get a list of shapes, use the ListDbSystemShapes operation.
:param pulumi.Input[str] state: The current lifecycle state of the Autonomous Exadata Infrastructure.
:param pulumi.Input[str] subnet_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the subnet the Autonomous Exadata Infrastructure is associated with.
:param pulumi.Input[str] time_created: The date and time the Autonomous Exadata Infrastructure was created.
:param pulumi.Input[str] zone_id: The OCID of the zone the Autonomous Exadata Infrastructure is associated with.
"""
if availability_domain is not None:
pulumi.set(__self__, "availability_domain", availability_domain)
if compartment_id is not None:
pulumi.set(__self__, "compartment_id", compartment_id)
if create_async is not None:
pulumi.set(__self__, "create_async", create_async)
if defined_tags is not None:
pulumi.set(__self__, "defined_tags", defined_tags)
if display_name is not None:
pulumi.set(__self__, "display_name", display_name)
if domain is not None:
pulumi.set(__self__, "domain", domain)
if freeform_tags is not None:
pulumi.set(__self__, "freeform_tags", freeform_tags)
if hostname is not None:
pulumi.set(__self__, "hostname", hostname)
if last_maintenance_run_id is not None:
pulumi.set(__self__, "last_maintenance_run_id", last_maintenance_run_id)
if license_model is not None:
pulumi.set(__self__, "license_model", license_model)
if lifecycle_details is not None:
pulumi.set(__self__, "lifecycle_details", lifecycle_details)
if maintenance_window is not None:
pulumi.set(__self__, "maintenance_window", maintenance_window)
if maintenance_window_details is not None:
pulumi.set(__self__, "maintenance_window_details", maintenance_window_details)
if next_maintenance_run_id is not None:
pulumi.set(__self__, "next_maintenance_run_id", next_maintenance_run_id)
if nsg_ids is not None:
pulumi.set(__self__, "nsg_ids", nsg_ids)
if scan_dns_name is not None:
pulumi.set(__self__, "scan_dns_name", scan_dns_name)
if shape is not None:
pulumi.set(__self__, "shape", shape)
if state is not None:
pulumi.set(__self__, "state", state)
if subnet_id is not None:
pulumi.set(__self__, "subnet_id", subnet_id)
if time_created is not None:
pulumi.set(__self__, "time_created", time_created)
if zone_id is not None:
pulumi.set(__self__, "zone_id", zone_id)
@property
@pulumi.getter(name="availabilityDomain")
def availability_domain(self) -> Optional[pulumi.Input[str]]:
"""
The availability domain where the Autonomous Exadata Infrastructure is located.
"""
return pulumi.get(self, "availability_domain")
@availability_domain.setter
def availability_domain(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "availability_domain", value)
@property
@pulumi.getter(name="compartmentId")
def compartment_id(self) -> Optional[pulumi.Input[str]]:
"""
(Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment the Autonomous Exadata Infrastructure belongs in.
"""
return pulumi.get(self, "compartment_id")
@compartment_id.setter
def compartment_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "compartment_id", value)
@property
@pulumi.getter(name="createAsync")
def create_async(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "create_async")
@create_async.setter
def create_async(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "create_async", value)
@property
@pulumi.getter(name="definedTags")
def defined_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm).
"""
return pulumi.get(self, "defined_tags")
@defined_tags.setter
def defined_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "defined_tags", value)
@property
@pulumi.getter(name="displayName")
def display_name(self) -> Optional[pulumi.Input[str]]:
"""
(Updatable) The user-friendly name for the Autonomous Exadata Infrastructure. It does not have to be unique.
"""
return pulumi.get(self, "display_name")
@display_name.setter
def display_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "display_name", value)
@property
@pulumi.getter
def domain(self) -> Optional[pulumi.Input[str]]:
"""
A domain name used for the Autonomous Exadata Infrastructure. If the Oracle-provided Internet and VCN Resolver is enabled for the specified subnet, the domain name for the subnet is used (don't provide one). Otherwise, provide a valid DNS domain name. Hyphens (-) are not permitted.
"""
return pulumi.get(self, "domain")
@domain.setter
def domain(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "domain", value)
@property
@pulumi.getter(name="freeformTags")
def freeform_tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}`
"""
return pulumi.get(self, "freeform_tags")
@freeform_tags.setter
def freeform_tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "freeform_tags", value)
@property
@pulumi.getter
def hostname(self) -> Optional[pulumi.Input[str]]:
"""
The host name for the Autonomous Exadata Infrastructure node.
"""
return pulumi.get(self, "hostname")
@hostname.setter
def hostname(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "hostname", value)
@property
@pulumi.getter(name="lastMaintenanceRunId")
def last_maintenance_run_id(self) -> Optional[pulumi.Input[str]]:
"""
The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the last maintenance run.
"""
return pulumi.get(self, "last_maintenance_run_id")
@last_maintenance_run_id.setter
def last_maintenance_run_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "last_maintenance_run_id", value)
@property
@pulumi.getter(name="licenseModel")
def license_model(self) -> Optional[pulumi.Input[str]]:
"""
The Oracle license model that applies to all the databases in the Autonomous Exadata Infrastructure. The default is BRING_YOUR_OWN_LICENSE.
"""
return pulumi.get(self, "license_model")
@license_model.setter
def license_model(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "license_model", value)
@property
@pulumi.getter(name="lifecycleDetails")
def lifecycle_details(self) -> Optional[pulumi.Input[str]]:
"""
Additional information about the current lifecycle state of the Autonomous Exadata Infrastructure.
"""
return pulumi.get(self, "lifecycle_details")
@lifecycle_details.setter
def lifecycle_details(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "lifecycle_details", value)
@property
@pulumi.getter(name="maintenanceWindow")
def maintenance_window(self) -> Optional[pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowArgs']]:
"""
The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
"""
return pulumi.get(self, "maintenance_window")
@maintenance_window.setter
def maintenance_window(self, value: Optional[pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowArgs']]):
pulumi.set(self, "maintenance_window", value)
@property
@pulumi.getter(name="maintenanceWindowDetails")
def maintenance_window_details(self) -> Optional[pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']]:
"""
(Updatable) The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
"""
return pulumi.get(self, "maintenance_window_details")
@maintenance_window_details.setter
def maintenance_window_details(self, value: Optional[pulumi.Input['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']]):
pulumi.set(self, "maintenance_window_details", value)
@property
@pulumi.getter(name="nextMaintenanceRunId")
def next_maintenance_run_id(self) -> Optional[pulumi.Input[str]]:
"""
The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the next maintenance run.
"""
return pulumi.get(self, "next_maintenance_run_id")
@next_maintenance_run_id.setter
def next_maintenance_run_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "next_maintenance_run_id", value)
@property
@pulumi.getter(name="nsgIds")
def nsg_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
(Updatable) A list of the [OCIDs](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the network security groups (NSGs) that this resource belongs to. Setting this to an empty array after the list is created removes the resource from all NSGs. For more information about NSGs, see [Security Rules](https://docs.cloud.oracle.com/iaas/Content/Network/Concepts/securityrules.htm). **NsgIds restrictions:**
* Autonomous Databases with private access require at least 1 Network Security Group (NSG). The nsgIds array cannot be empty.
"""
return pulumi.get(self, "nsg_ids")
@nsg_ids.setter
def nsg_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "nsg_ids", value)
@property
@pulumi.getter(name="scanDnsName")
def scan_dns_name(self) -> Optional[pulumi.Input[str]]:
"""
The FQDN of the DNS record for the SCAN IP addresses that are associated with the Autonomous Exadata Infrastructure.
"""
return pulumi.get(self, "scan_dns_name")
@scan_dns_name.setter
def scan_dns_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "scan_dns_name", value)
@property
@pulumi.getter
def shape(self) -> Optional[pulumi.Input[str]]:
"""
The shape of the Autonomous Exadata Infrastructure. The shape determines resources allocated to the Autonomous Exadata Infrastructure (CPU cores, memory and storage). To get a list of shapes, use the ListDbSystemShapes operation.
"""
return pulumi.get(self, "shape")
@shape.setter
def shape(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "shape", value)
@property
@pulumi.getter
def state(self) -> Optional[pulumi.Input[str]]:
"""
The current lifecycle state of the Autonomous Exadata Infrastructure.
"""
return pulumi.get(self, "state")
@state.setter
def state(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "state", value)
@property
@pulumi.getter(name="subnetId")
def subnet_id(self) -> Optional[pulumi.Input[str]]:
"""
The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the subnet the Autonomous Exadata Infrastructure is associated with.
"""
return pulumi.get(self, "subnet_id")
@subnet_id.setter
def subnet_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "subnet_id", value)
@property
@pulumi.getter(name="timeCreated")
def time_created(self) -> Optional[pulumi.Input[str]]:
"""
The date and time the Autonomous Exadata Infrastructure was created.
"""
return pulumi.get(self, "time_created")
@time_created.setter
def time_created(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "time_created", value)
@property
@pulumi.getter(name="zoneId")
def zone_id(self) -> Optional[pulumi.Input[str]]:
"""
The OCID of the zone the Autonomous Exadata Infrastructure is associated with.
"""
return pulumi.get(self, "zone_id")
@zone_id.setter
def zone_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "zone_id", value)
class AutonomousExadataInfrastructure(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
availability_domain: Optional[pulumi.Input[str]] = None,
compartment_id: Optional[pulumi.Input[str]] = None,
create_async: Optional[pulumi.Input[bool]] = None,
defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
display_name: Optional[pulumi.Input[str]] = None,
domain: Optional[pulumi.Input[str]] = None,
freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
license_model: Optional[pulumi.Input[str]] = None,
maintenance_window_details: Optional[pulumi.Input[pulumi.InputType['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']]] = None,
nsg_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
shape: Optional[pulumi.Input[str]] = None,
subnet_id: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
This resource provides the Autonomous Exadata Infrastructure resource in Oracle Cloud Infrastructure Database service.
Creates a new Autonomous Exadata Infrastructure in the specified compartment and availability domain.
## Example Usage
```python
import pulumi
import pulumi_oci as oci
test_autonomous_exadata_infrastructure = oci.database.AutonomousExadataInfrastructure("testAutonomousExadataInfrastructure",
availability_domain=var["autonomous_exadata_infrastructure_availability_domain"],
compartment_id=var["compartment_id"],
shape=var["autonomous_exadata_infrastructure_shape"],
subnet_id=oci_core_subnet["test_subnet"]["id"],
defined_tags={
"Operations.CostCenter": "42",
},
display_name=var["autonomous_exadata_infrastructure_display_name"],
domain=var["autonomous_exadata_infrastructure_domain"],
freeform_tags={
"Department": "Finance",
},
license_model=var["autonomous_exadata_infrastructure_license_model"],
maintenance_window_details=oci.database.AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs(
preference=var["autonomous_exadata_infrastructure_maintenance_window_details_preference"],
days_of_weeks=[oci.database.AutonomousExadataInfrastructureMaintenanceWindowDetailsDaysOfWeekArgs(
name=var["autonomous_exadata_infrastructure_maintenance_window_details_days_of_week_name"],
)],
hours_of_days=var["autonomous_exadata_infrastructure_maintenance_window_details_hours_of_day"],
lead_time_in_weeks=var["autonomous_exadata_infrastructure_maintenance_window_details_lead_time_in_weeks"],
months=[oci.database.AutonomousExadataInfrastructureMaintenanceWindowDetailsMonthArgs(
name=var["autonomous_exadata_infrastructure_maintenance_window_details_months_name"],
)],
weeks_of_months=var["autonomous_exadata_infrastructure_maintenance_window_details_weeks_of_month"],
),
nsg_ids=var["autonomous_exadata_infrastructure_nsg_ids"])
```
## Import
AutonomousExadataInfrastructures can be imported using the `id`, e.g.
```sh
$ pulumi import oci:database/autonomousExadataInfrastructure:AutonomousExadataInfrastructure test_autonomous_exadata_infrastructure "id"
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] availability_domain: The availability domain where the Autonomous Exadata Infrastructure is located.
:param pulumi.Input[str] compartment_id: (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment the Autonomous Exadata Infrastructure belongs in.
:param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm).
:param pulumi.Input[str] display_name: (Updatable) The user-friendly name for the Autonomous Exadata Infrastructure. It does not have to be unique.
:param pulumi.Input[str] domain: A domain name used for the Autonomous Exadata Infrastructure. If the Oracle-provided Internet and VCN Resolver is enabled for the specified subnet, the domain name for the subnet is used (don't provide one). Otherwise, provide a valid DNS domain name. Hyphens (-) are not permitted.
:param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}`
:param pulumi.Input[str] license_model: The Oracle license model that applies to all the databases in the Autonomous Exadata Infrastructure. The default is BRING_YOUR_OWN_LICENSE.
:param pulumi.Input[pulumi.InputType['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']] maintenance_window_details: (Updatable) The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
:param pulumi.Input[Sequence[pulumi.Input[str]]] nsg_ids: (Updatable) A list of the [OCIDs](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the network security groups (NSGs) that this resource belongs to. Setting this to an empty array after the list is created removes the resource from all NSGs. For more information about NSGs, see [Security Rules](https://docs.cloud.oracle.com/iaas/Content/Network/Concepts/securityrules.htm). **NsgIds restrictions:**
* Autonomous Databases with private access require at least 1 Network Security Group (NSG). The nsgIds array cannot be empty.
:param pulumi.Input[str] shape: The shape of the Autonomous Exadata Infrastructure. The shape determines resources allocated to the Autonomous Exadata Infrastructure (CPU cores, memory and storage). To get a list of shapes, use the ListDbSystemShapes operation.
:param pulumi.Input[str] subnet_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the subnet the Autonomous Exadata Infrastructure is associated with.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: AutonomousExadataInfrastructureArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
This resource provides the Autonomous Exadata Infrastructure resource in Oracle Cloud Infrastructure Database service.
Creates a new Autonomous Exadata Infrastructure in the specified compartment and availability domain.
## Example Usage
```python
import pulumi
import pulumi_oci as oci
test_autonomous_exadata_infrastructure = oci.database.AutonomousExadataInfrastructure("testAutonomousExadataInfrastructure",
availability_domain=var["autonomous_exadata_infrastructure_availability_domain"],
compartment_id=var["compartment_id"],
shape=var["autonomous_exadata_infrastructure_shape"],
subnet_id=oci_core_subnet["test_subnet"]["id"],
defined_tags={
"Operations.CostCenter": "42",
},
display_name=var["autonomous_exadata_infrastructure_display_name"],
domain=var["autonomous_exadata_infrastructure_domain"],
freeform_tags={
"Department": "Finance",
},
license_model=var["autonomous_exadata_infrastructure_license_model"],
maintenance_window_details=oci.database.AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs(
preference=var["autonomous_exadata_infrastructure_maintenance_window_details_preference"],
days_of_weeks=[oci.database.AutonomousExadataInfrastructureMaintenanceWindowDetailsDaysOfWeekArgs(
name=var["autonomous_exadata_infrastructure_maintenance_window_details_days_of_week_name"],
)],
hours_of_days=var["autonomous_exadata_infrastructure_maintenance_window_details_hours_of_day"],
lead_time_in_weeks=var["autonomous_exadata_infrastructure_maintenance_window_details_lead_time_in_weeks"],
months=[oci.database.AutonomousExadataInfrastructureMaintenanceWindowDetailsMonthArgs(
name=var["autonomous_exadata_infrastructure_maintenance_window_details_months_name"],
)],
weeks_of_months=var["autonomous_exadata_infrastructure_maintenance_window_details_weeks_of_month"],
),
nsg_ids=var["autonomous_exadata_infrastructure_nsg_ids"])
```
## Import
AutonomousExadataInfrastructures can be imported using the `id`, e.g.
```sh
$ pulumi import oci:database/autonomousExadataInfrastructure:AutonomousExadataInfrastructure test_autonomous_exadata_infrastructure "id"
```
:param str resource_name: The name of the resource.
:param AutonomousExadataInfrastructureArgs 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(AutonomousExadataInfrastructureArgs, 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,
availability_domain: Optional[pulumi.Input[str]] = None,
compartment_id: Optional[pulumi.Input[str]] = None,
create_async: Optional[pulumi.Input[bool]] = None,
defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
display_name: Optional[pulumi.Input[str]] = None,
domain: Optional[pulumi.Input[str]] = None,
freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
license_model: Optional[pulumi.Input[str]] = None,
maintenance_window_details: Optional[pulumi.Input[pulumi.InputType['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']]] = None,
nsg_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
shape: Optional[pulumi.Input[str]] = None,
subnet_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__ = AutonomousExadataInfrastructureArgs.__new__(AutonomousExadataInfrastructureArgs)
if availability_domain is None and not opts.urn:
raise TypeError("Missing required property 'availability_domain'")
__props__.__dict__["availability_domain"] = availability_domain
if compartment_id is None and not opts.urn:
raise TypeError("Missing required property 'compartment_id'")
__props__.__dict__["compartment_id"] = compartment_id
__props__.__dict__["create_async"] = create_async
__props__.__dict__["defined_tags"] = defined_tags
__props__.__dict__["display_name"] = display_name
__props__.__dict__["domain"] = domain
__props__.__dict__["freeform_tags"] = freeform_tags
__props__.__dict__["license_model"] = license_model
__props__.__dict__["maintenance_window_details"] = maintenance_window_details
__props__.__dict__["nsg_ids"] = nsg_ids
if shape is None and not opts.urn:
raise TypeError("Missing required property 'shape'")
__props__.__dict__["shape"] = shape
if subnet_id is None and not opts.urn:
raise TypeError("Missing required property 'subnet_id'")
__props__.__dict__["subnet_id"] = subnet_id
__props__.__dict__["hostname"] = None
__props__.__dict__["last_maintenance_run_id"] = None
__props__.__dict__["lifecycle_details"] = None
__props__.__dict__["maintenance_window"] = None
__props__.__dict__["next_maintenance_run_id"] = None
__props__.__dict__["scan_dns_name"] = None
__props__.__dict__["state"] = None
__props__.__dict__["time_created"] = None
__props__.__dict__["zone_id"] = None
super(AutonomousExadataInfrastructure, __self__).__init__(
'oci:database/autonomousExadataInfrastructure:AutonomousExadataInfrastructure',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
availability_domain: Optional[pulumi.Input[str]] = None,
compartment_id: Optional[pulumi.Input[str]] = None,
create_async: Optional[pulumi.Input[bool]] = None,
defined_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
display_name: Optional[pulumi.Input[str]] = None,
domain: Optional[pulumi.Input[str]] = None,
freeform_tags: Optional[pulumi.Input[Mapping[str, Any]]] = None,
hostname: Optional[pulumi.Input[str]] = None,
last_maintenance_run_id: Optional[pulumi.Input[str]] = None,
license_model: Optional[pulumi.Input[str]] = None,
lifecycle_details: Optional[pulumi.Input[str]] = None,
maintenance_window: Optional[pulumi.Input[pulumi.InputType['AutonomousExadataInfrastructureMaintenanceWindowArgs']]] = None,
maintenance_window_details: Optional[pulumi.Input[pulumi.InputType['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']]] = None,
next_maintenance_run_id: Optional[pulumi.Input[str]] = None,
nsg_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
scan_dns_name: Optional[pulumi.Input[str]] = None,
shape: Optional[pulumi.Input[str]] = None,
state: Optional[pulumi.Input[str]] = None,
subnet_id: Optional[pulumi.Input[str]] = None,
time_created: Optional[pulumi.Input[str]] = None,
zone_id: Optional[pulumi.Input[str]] = None) -> 'AutonomousExadataInfrastructure':
"""
Get an existing AutonomousExadataInfrastructure 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] availability_domain: The availability domain where the Autonomous Exadata Infrastructure is located.
:param pulumi.Input[str] compartment_id: (Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment the Autonomous Exadata Infrastructure belongs in.
:param pulumi.Input[Mapping[str, Any]] defined_tags: (Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm).
:param pulumi.Input[str] display_name: (Updatable) The user-friendly name for the Autonomous Exadata Infrastructure. It does not have to be unique.
:param pulumi.Input[str] domain: A domain name used for the Autonomous Exadata Infrastructure. If the Oracle-provided Internet and VCN Resolver is enabled for the specified subnet, the domain name for the subnet is used (don't provide one). Otherwise, provide a valid DNS domain name. Hyphens (-) are not permitted.
:param pulumi.Input[Mapping[str, Any]] freeform_tags: (Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}`
:param pulumi.Input[str] hostname: The host name for the Autonomous Exadata Infrastructure node.
:param pulumi.Input[str] last_maintenance_run_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the last maintenance run.
:param pulumi.Input[str] license_model: The Oracle license model that applies to all the databases in the Autonomous Exadata Infrastructure. The default is BRING_YOUR_OWN_LICENSE.
:param pulumi.Input[str] lifecycle_details: Additional information about the current lifecycle state of the Autonomous Exadata Infrastructure.
:param pulumi.Input[pulumi.InputType['AutonomousExadataInfrastructureMaintenanceWindowArgs']] maintenance_window: The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
:param pulumi.Input[pulumi.InputType['AutonomousExadataInfrastructureMaintenanceWindowDetailsArgs']] maintenance_window_details: (Updatable) The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
:param pulumi.Input[str] next_maintenance_run_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the next maintenance run.
:param pulumi.Input[Sequence[pulumi.Input[str]]] nsg_ids: (Updatable) A list of the [OCIDs](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the network security groups (NSGs) that this resource belongs to. Setting this to an empty array after the list is created removes the resource from all NSGs. For more information about NSGs, see [Security Rules](https://docs.cloud.oracle.com/iaas/Content/Network/Concepts/securityrules.htm). **NsgIds restrictions:**
* Autonomous Databases with private access require at least 1 Network Security Group (NSG). The nsgIds array cannot be empty.
:param pulumi.Input[str] scan_dns_name: The FQDN of the DNS record for the SCAN IP addresses that are associated with the Autonomous Exadata Infrastructure.
:param pulumi.Input[str] shape: The shape of the Autonomous Exadata Infrastructure. The shape determines resources allocated to the Autonomous Exadata Infrastructure (CPU cores, memory and storage). To get a list of shapes, use the ListDbSystemShapes operation.
:param pulumi.Input[str] state: The current lifecycle state of the Autonomous Exadata Infrastructure.
:param pulumi.Input[str] subnet_id: The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the subnet the Autonomous Exadata Infrastructure is associated with.
:param pulumi.Input[str] time_created: The date and time the Autonomous Exadata Infrastructure was created.
:param pulumi.Input[str] zone_id: The OCID of the zone the Autonomous Exadata Infrastructure is associated with.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _AutonomousExadataInfrastructureState.__new__(_AutonomousExadataInfrastructureState)
__props__.__dict__["availability_domain"] = availability_domain
__props__.__dict__["compartment_id"] = compartment_id
__props__.__dict__["create_async"] = create_async
__props__.__dict__["defined_tags"] = defined_tags
__props__.__dict__["display_name"] = display_name
__props__.__dict__["domain"] = domain
__props__.__dict__["freeform_tags"] = freeform_tags
__props__.__dict__["hostname"] = hostname
__props__.__dict__["last_maintenance_run_id"] = last_maintenance_run_id
__props__.__dict__["license_model"] = license_model
__props__.__dict__["lifecycle_details"] = lifecycle_details
__props__.__dict__["maintenance_window"] = maintenance_window
__props__.__dict__["maintenance_window_details"] = maintenance_window_details
__props__.__dict__["next_maintenance_run_id"] = next_maintenance_run_id
__props__.__dict__["nsg_ids"] = nsg_ids
__props__.__dict__["scan_dns_name"] = scan_dns_name
__props__.__dict__["shape"] = shape
__props__.__dict__["state"] = state
__props__.__dict__["subnet_id"] = subnet_id
__props__.__dict__["time_created"] = time_created
__props__.__dict__["zone_id"] = zone_id
return AutonomousExadataInfrastructure(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="availabilityDomain")
def availability_domain(self) -> pulumi.Output[str]:
"""
The availability domain where the Autonomous Exadata Infrastructure is located.
"""
return pulumi.get(self, "availability_domain")
@property
@pulumi.getter(name="compartmentId")
def compartment_id(self) -> pulumi.Output[str]:
"""
(Updatable) The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment the Autonomous Exadata Infrastructure belongs in.
"""
return pulumi.get(self, "compartment_id")
@property
@pulumi.getter(name="createAsync")
def create_async(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "create_async")
@property
@pulumi.getter(name="definedTags")
def defined_tags(self) -> pulumi.Output[Mapping[str, Any]]:
"""
(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm).
"""
return pulumi.get(self, "defined_tags")
@property
@pulumi.getter(name="displayName")
def display_name(self) -> pulumi.Output[str]:
"""
(Updatable) The user-friendly name for the Autonomous Exadata Infrastructure. It does not have to be unique.
"""
return pulumi.get(self, "display_name")
@property
@pulumi.getter
def domain(self) -> pulumi.Output[str]:
"""
A domain name used for the Autonomous Exadata Infrastructure. If the Oracle-provided Internet and VCN Resolver is enabled for the specified subnet, the domain name for the subnet is used (don't provide one). Otherwise, provide a valid DNS domain name. Hyphens (-) are not permitted.
"""
return pulumi.get(self, "domain")
@property
@pulumi.getter(name="freeformTags")
def freeform_tags(self) -> pulumi.Output[Mapping[str, Any]]:
"""
(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see [Resource Tags](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{"Department": "Finance"}`
"""
return pulumi.get(self, "freeform_tags")
@property
@pulumi.getter
def hostname(self) -> pulumi.Output[str]:
"""
The host name for the Autonomous Exadata Infrastructure node.
"""
return pulumi.get(self, "hostname")
@property
@pulumi.getter(name="lastMaintenanceRunId")
def last_maintenance_run_id(self) -> pulumi.Output[str]:
"""
The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the last maintenance run.
"""
return pulumi.get(self, "last_maintenance_run_id")
@property
@pulumi.getter(name="licenseModel")
def license_model(self) -> pulumi.Output[str]:
"""
The Oracle license model that applies to all the databases in the Autonomous Exadata Infrastructure. The default is BRING_YOUR_OWN_LICENSE.
"""
return pulumi.get(self, "license_model")
@property
@pulumi.getter(name="lifecycleDetails")
def lifecycle_details(self) -> pulumi.Output[str]:
"""
Additional information about the current lifecycle state of the Autonomous Exadata Infrastructure.
"""
return pulumi.get(self, "lifecycle_details")
@property
@pulumi.getter(name="maintenanceWindow")
def maintenance_window(self) -> pulumi.Output['outputs.AutonomousExadataInfrastructureMaintenanceWindow']:
"""
The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
"""
return pulumi.get(self, "maintenance_window")
@property
@pulumi.getter(name="maintenanceWindowDetails")
def maintenance_window_details(self) -> pulumi.Output[Optional['outputs.AutonomousExadataInfrastructureMaintenanceWindowDetails']]:
"""
(Updatable) The scheduling details for the quarterly maintenance window. Patching and system updates take place during the maintenance window.
"""
return pulumi.get(self, "maintenance_window_details")
@property
@pulumi.getter(name="nextMaintenanceRunId")
def next_maintenance_run_id(self) -> pulumi.Output[str]:
"""
The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the next maintenance run.
"""
return pulumi.get(self, "next_maintenance_run_id")
@property
@pulumi.getter(name="nsgIds")
def nsg_ids(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
(Updatable) A list of the [OCIDs](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the network security groups (NSGs) that this resource belongs to. Setting this to an empty array after the list is created removes the resource from all NSGs. For more information about NSGs, see [Security Rules](https://docs.cloud.oracle.com/iaas/Content/Network/Concepts/securityrules.htm). **NsgIds restrictions:**
* Autonomous Databases with private access require at least 1 Network Security Group (NSG). The nsgIds array cannot be empty.
"""
return pulumi.get(self, "nsg_ids")
@property
@pulumi.getter(name="scanDnsName")
def scan_dns_name(self) -> pulumi.Output[str]:
"""
The FQDN of the DNS record for the SCAN IP addresses that are associated with the Autonomous Exadata Infrastructure.
"""
return pulumi.get(self, "scan_dns_name")
@property
@pulumi.getter
def shape(self) -> pulumi.Output[str]:
"""
The shape of the Autonomous Exadata Infrastructure. The shape determines resources allocated to the Autonomous Exadata Infrastructure (CPU cores, memory and storage). To get a list of shapes, use the ListDbSystemShapes operation.
"""
return pulumi.get(self, "shape")
@property
@pulumi.getter
def state(self) -> pulumi.Output[str]:
"""
The current lifecycle state of the Autonomous Exadata Infrastructure.
"""
return pulumi.get(self, "state")
@property
@pulumi.getter(name="subnetId")
def subnet_id(self) -> pulumi.Output[str]:
"""
The [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the subnet the Autonomous Exadata Infrastructure is associated with.
"""
return pulumi.get(self, "subnet_id")
@property
@pulumi.getter(name="timeCreated")
def time_created(self) -> pulumi.Output[str]:
"""
The date and time the Autonomous Exadata Infrastructure was created.
"""
return pulumi.get(self, "time_created")
@property
@pulumi.getter(name="zoneId")
def zone_id(self) -> pulumi.Output[str]:
"""
The OCID of the zone the Autonomous Exadata Infrastructure is associated with.
"""
return pulumi.get(self, "zone_id")
| 59.995035 | 497 | 0.701945 | 7,126 | 60,415 | 5.757929 | 0.045046 | 0.059784 | 0.052546 | 0.044503 | 0.926665 | 0.910409 | 0.896493 | 0.884039 | 0.868368 | 0.838975 | 0 | 0.000249 | 0.201291 | 60,415 | 1,006 | 498 | 60.054672 | 0.850064 | 0.475014 | 0 | 0.696809 | 1 | 0 | 0.137533 | 0.055972 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0.001773 | 0.012411 | 0.005319 | 0.281915 | 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 |
1abbb898ffb4e7facc271bb28e9c66210e52dd9c | 4,711 | py | Python | tests/test_fluids.py | mitchute/Open-GHX | 7a88872c36200c620cfd07994119cfb243a998c9 | [
"MIT"
] | 4 | 2017-10-09T21:08:44.000Z | 2020-11-18T11:09:56.000Z | tests/test_fluids.py | mitchute/Open-GHX | 7a88872c36200c620cfd07994119cfb243a998c9 | [
"MIT"
] | 1 | 2017-08-18T01:44:13.000Z | 2017-08-18T02:23:21.000Z | tests/test_fluids.py | mitchute/Open-GHX | 7a88872c36200c620cfd07994119cfb243a998c9 | [
"MIT"
] | 3 | 2016-09-08T14:57:21.000Z | 2021-06-29T08:42:08.000Z | import unittest
from ghx.fluids import FluidsClass
class TestFluidsClass(unittest.TestCase):
def test_dens(self):
"""
Tests fluid density calculation routine
Reference values come from Cengel & Ghajar 2015
Cengel, Y.A., & Ghajar, A.J. 2015. Heat and Mass Transfer, Fundamentals and Applications.
McGraw-Hill. New York, New York.
"""
dict_fluid = {'Type': 'Water',
'Concentration': 100,
'Flow Rate': 0.000303}
tolerance = 1.0
curr_tst = FluidsClass(dict_fluid, 20, False)
self.assertAlmostEqual(curr_tst.dens(), 998.0, delta=tolerance)
curr_tst.temperature = 40
self.assertAlmostEqual(curr_tst.dens(), 992.1, delta=tolerance)
curr_tst.temperature = 60
self.assertAlmostEqual(curr_tst.dens(), 983.3, delta=tolerance)
curr_tst.temperature = 80
self.assertAlmostEqual(curr_tst.dens(), 971.8, delta=tolerance)
def test_cp(self):
"""
Tests fluid specific heat calculation routine
Reference values come from Cengel & Ghajar 2015
Cengel, Y.A., & Ghajar, A.J. 2015. Heat and Mass Transfer, Fundamentals and Applications.
McGraw-Hill. New York, New York.
"""
dict_fluid = {'Type': 'Water',
'Concentration': 100,
'Flow Rate': 0.000303}
tolerance = 4.0
curr_tst = FluidsClass(dict_fluid, 20, False)
self.assertAlmostEqual(curr_tst.cp(), 4182, delta=tolerance)
curr_tst.temperature = 40
self.assertAlmostEqual(curr_tst.cp(), 4179, delta=tolerance)
curr_tst.temperature = 60
self.assertAlmostEqual(curr_tst.cp(), 4185, delta=tolerance)
curr_tst.temperature = 80
self.assertAlmostEqual(curr_tst.cp(), 4197, delta=tolerance)
def test_visc(self):
"""
Tests fluid viscosity calculations
Reference values come from Cengel & Ghajar 2015
Cengel, Y.A., & Ghajar, A.J. 2015. Heat and Mass Transfer, Fundamentals and Applications.
McGraw-Hill. New York, New York.
"""
dict_fluid = {'Type': 'Water',
'Concentration': 100,
'Flow Rate': 0.000303}
tolerance = 1E-4
curr_tst = FluidsClass(dict_fluid, 20, False)
self.assertAlmostEqual(curr_tst.visc(), 1.002E-3, delta=tolerance)
curr_tst.temperature = 40
self.assertAlmostEqual(curr_tst.visc(), 0.653E-3, delta=tolerance)
curr_tst.temperature = 60
self.assertAlmostEqual(curr_tst.visc(), 0.467E-3, delta=tolerance)
curr_tst.temperature = 80
self.assertAlmostEqual(curr_tst.visc(), 0.355E-3, delta=tolerance)
def test_cond(self):
"""
Tests fluid conductivity calculations
Reference values come from Cengel & Ghajar 2015
Cengel, Y.A., & Ghajar, A.J. 2015. Heat and Mass Transfer, Fundamentals and Applications.
McGraw-Hill. New York, New York.
"""
dict_fluid = {'Type': 'Water',
'Concentration': 100,
'Flow Rate': 0.000303}
tolerance = 1E-2
curr_tst = FluidsClass(dict_fluid, 20, False)
self.assertAlmostEqual(curr_tst.cond(), 0.598, delta=tolerance)
curr_tst.temperature = 40
self.assertAlmostEqual(curr_tst.cond(), 0.631, delta=tolerance)
curr_tst.temperature = 60
self.assertAlmostEqual(curr_tst.cond(), 0.654, delta=tolerance)
curr_tst.temperature = 80
self.assertAlmostEqual(curr_tst.cond(), 0.670, delta=tolerance)
def test_pr(self):
"""
Tests fluid Prandtl number calculations
Reference values come from Cengel & Ghajar 2015
Cengel, Y.A., & Ghajar, A.J. 2015. Heat and Mass Transfer, Fundamentals and Applications.
McGraw-Hill. New York, New York.
"""
dict_fluid = {'Type': 'Water',
'Concentration': 100,
'Flow Rate': 0.000303}
tolerance = 1E-1
curr_tst = FluidsClass(dict_fluid, 20, False)
self.assertAlmostEqual(curr_tst.pr(), 7.01, delta=tolerance)
curr_tst.temperature = 40
self.assertAlmostEqual(curr_tst.pr(), 4.32, delta=tolerance)
curr_tst.temperature = 60
self.assertAlmostEqual(curr_tst.pr(), 2.99, delta=tolerance)
curr_tst.temperature = 80
self.assertAlmostEqual(curr_tst.pr(), 2.22, delta=tolerance)
| 32.267123 | 98 | 0.591594 | 530 | 4,711 | 5.154717 | 0.177358 | 0.102489 | 0.183016 | 0.204978 | 0.853587 | 0.841874 | 0.826135 | 0.826135 | 0.826135 | 0.826135 | 0 | 0.06734 | 0.306517 | 4,711 | 145 | 99 | 32.489655 | 0.768901 | 0.225642 | 0 | 0.514706 | 0 | 0 | 0.047444 | 0 | 0 | 0 | 0 | 0 | 0.294118 | 1 | 0.073529 | false | 0 | 0.029412 | 0 | 0.117647 | 0 | 0 | 0 | 0 | null | 0 | 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 | 8 |
1ac5a8ab3836b92ed69d1b3e578ab23b456765c1 | 3,071 | py | Python | terrascript/vcd/d.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/vcd/d.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/vcd/d.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/vcd/d.py
# Automatically generated by tools/makecode.py ()
import warnings
warnings.warn(
"using the 'legacy layout' is deprecated", DeprecationWarning, stacklevel=2
)
import terrascript
class vcd_catalog(terrascript.Data):
pass
class vcd_catalog_item(terrascript.Data):
pass
class vcd_catalog_media(terrascript.Data):
pass
class vcd_edgegateway(terrascript.Data):
pass
class vcd_external_network(terrascript.Data):
pass
class vcd_external_network_v2(terrascript.Data):
pass
class vcd_global_role(terrascript.Data):
pass
class vcd_independent_disk(terrascript.Data):
pass
class vcd_lb_app_profile(terrascript.Data):
pass
class vcd_lb_app_rule(terrascript.Data):
pass
class vcd_lb_server_pool(terrascript.Data):
pass
class vcd_lb_service_monitor(terrascript.Data):
pass
class vcd_lb_virtual_server(terrascript.Data):
pass
class vcd_network_direct(terrascript.Data):
pass
class vcd_network_isolated(terrascript.Data):
pass
class vcd_network_isolated_v2(terrascript.Data):
pass
class vcd_network_routed(terrascript.Data):
pass
class vcd_network_routed_v2(terrascript.Data):
pass
class vcd_nsxt_app_port_profile(terrascript.Data):
pass
class vcd_nsxt_edge_cluster(terrascript.Data):
pass
class vcd_nsxt_edgegateway(terrascript.Data):
pass
class vcd_nsxt_firewall(terrascript.Data):
pass
class vcd_nsxt_ip_set(terrascript.Data):
pass
class vcd_nsxt_ipsec_vpn_tunnel(terrascript.Data):
pass
class vcd_nsxt_manager(terrascript.Data):
pass
class vcd_nsxt_nat_rule(terrascript.Data):
pass
class vcd_nsxt_network_dhcp(terrascript.Data):
pass
class vcd_nsxt_network_imported(terrascript.Data):
pass
class vcd_nsxt_security_group(terrascript.Data):
pass
class vcd_nsxt_tier0_router(terrascript.Data):
pass
class vcd_nsxv_dhcp_relay(terrascript.Data):
pass
class vcd_nsxv_dnat(terrascript.Data):
pass
class vcd_nsxv_firewall_rule(terrascript.Data):
pass
class vcd_nsxv_ip_set(terrascript.Data):
pass
class vcd_nsxv_snat(terrascript.Data):
pass
class vcd_org(terrascript.Data):
pass
class vcd_org_user(terrascript.Data):
pass
class vcd_org_vdc(terrascript.Data):
pass
class vcd_portgroup(terrascript.Data):
pass
class vcd_resource_list(terrascript.Data):
pass
class vcd_resource_schema(terrascript.Data):
pass
class vcd_right(terrascript.Data):
pass
class vcd_rights_bundle(terrascript.Data):
pass
class vcd_role(terrascript.Data):
pass
class vcd_storage_profile(terrascript.Data):
pass
class vcd_vapp(terrascript.Data):
pass
class vcd_vapp_network(terrascript.Data):
pass
class vcd_vapp_org_network(terrascript.Data):
pass
class vcd_vapp_vm(terrascript.Data):
pass
class vcd_vcenter(terrascript.Data):
pass
class vcd_vm(terrascript.Data):
pass
class vcd_vm_affinity_rule(terrascript.Data):
pass
class vcd_vm_sizing_policy(terrascript.Data):
pass
| 13.833333 | 79 | 0.760339 | 412 | 3,071 | 5.371359 | 0.208738 | 0.191595 | 0.455038 | 0.56394 | 0.793041 | 0.732038 | 0.23859 | 0 | 0 | 0 | 0 | 0.001949 | 0.164442 | 3,071 | 221 | 80 | 13.895928 | 0.860483 | 0.022143 | 0 | 0.477477 | 1 | 0 | 0.013 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.477477 | 0.027027 | 0 | 0.504505 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
202b13c8fa56488f7044f79ea60dded408f17f7f | 6,110 | py | Python | tests/worker/test_diamond_miner_inner_pipeline.py | dioptra-io/iris | 1a7dfb8210fdc0f0554b61b81cbfdba7872f9d39 | [
"MIT"
] | 6 | 2022-01-13T16:09:57.000Z | 2022-03-26T08:39:47.000Z | tests/worker/test_diamond_miner_inner_pipeline.py | dioptra-io/iris | 1a7dfb8210fdc0f0554b61b81cbfdba7872f9d39 | [
"MIT"
] | 16 | 2022-02-01T06:09:13.000Z | 2022-03-01T06:12:30.000Z | tests/worker/test_diamond_miner_inner_pipeline.py | dioptra-io/iris | 1a7dfb8210fdc0f0554b61b81cbfdba7872f9d39 | [
"MIT"
] | null | null | null | from uuid import uuid4
from iris.commons.models.diamond_miner import ToolParameters
from iris.commons.models.round import Round
from iris.commons.test import compress_file, decompress_file
from iris.worker.inner_pipeline import diamond_miner_inner_pipeline
targets_content = "1.0.0.0/23,icmp,0,32,6\n2001::/63,icmp6,0,32,6"
async def test_default_inner_pipeline_round_1_0(clickhouse, logger, tmp_path):
measurement_uuid = str(uuid4())
agent_uuid = str(uuid4())
await clickhouse.create_tables(measurement_uuid, agent_uuid, 24, 64, drop=True)
probes_filepath = tmp_path / "probes.csv.zst"
targets_filepath = tmp_path / "targets.csv"
targets_filepath.write_text(targets_content)
n_probes = await diamond_miner_inner_pipeline(
clickhouse=clickhouse,
logger=logger,
measurement_uuid=measurement_uuid,
agent_uuid=agent_uuid,
agent_min_ttl=0,
sliding_window_stopping_condition=3,
tool_parameters=ToolParameters(),
results_filepath=None,
targets_filepath=targets_filepath,
probes_filepath=probes_filepath,
previous_round=None,
next_round=Round(number=1, limit=10, offset=0),
max_open_files=128,
)
probes_filepath = decompress_file(probes_filepath)
probes = probes_filepath.read_text().split()
assert len(probes) == n_probes == 240
async def test_default_inner_pipeline_round_1_1_no_results(
clickhouse, logger, tmp_path
):
measurement_uuid = str(uuid4())
agent_uuid = str(uuid4())
await clickhouse.create_tables(measurement_uuid, agent_uuid, 24, 64, drop=True)
probes_filepath = tmp_path / "probes.csv.zst"
targets_filepath = tmp_path / "targets.csv"
targets_filepath.write_text(targets_content)
n_probes = await diamond_miner_inner_pipeline(
clickhouse=clickhouse,
logger=logger,
measurement_uuid=measurement_uuid,
agent_uuid=agent_uuid,
agent_min_ttl=0,
sliding_window_stopping_condition=3,
tool_parameters=ToolParameters(),
# NOTE: here we do not insert any results, since we probed up to
# TTL 10 during the previous round, and that the stopping condition
# is 3 stars, we should not get any more probes.
results_filepath=None,
targets_filepath=targets_filepath,
probes_filepath=probes_filepath,
previous_round=Round(number=1, limit=10, offset=0),
next_round=Round(number=1, limit=10, offset=1),
max_open_files=128,
)
assert n_probes == 0
assert not probes_filepath.exists()
async def test_default_inner_pipeline_round_1_1_results(clickhouse, logger, tmp_path):
measurement_uuid = str(uuid4())
agent_uuid = str(uuid4())
await clickhouse.create_tables(measurement_uuid, agent_uuid, 24, 64, drop=True)
probes_filepath = tmp_path / "probes.csv.zst"
results_filepath = tmp_path / "results.csv"
results_filepath.write_text(
"""capture_timestamp,probe_protocol,probe_src_addr,probe_dst_addr,probe_src_port,probe_dst_port,probe_ttl,quoted_ttl,reply_src_addr,reply_protocol,reply_icmp_type,reply_icmp_code,reply_ttl,reply_size,reply_mpls_labels,rtt,round
1640006077,1,::ffff:172.17.0.2,::ffff:1.0.0.1,24000,0,9,1,::ffff:80.80.80.80,1,11,0,64,59,"[]",1,1
1640006077,58,2002::1,2001::1,24000,0,9,1,2003::1,58,3,0,64,59,"[]",1,1
"""
)
results_filepath = compress_file(results_filepath)
targets_filepath = tmp_path / "targets.csv"
targets_filepath.write_text(targets_content)
n_probes = await diamond_miner_inner_pipeline(
clickhouse=clickhouse,
logger=logger,
measurement_uuid=measurement_uuid,
agent_uuid=agent_uuid,
agent_min_ttl=0,
sliding_window_stopping_condition=3,
tool_parameters=ToolParameters(),
# NOTE: here we insert results, so we should get probes from TTL 10 to 20,
# only for 1.0.0.0/24 since we did not insert results for 1.0.1.0/24.
# Same for 2001::/64
results_filepath=results_filepath,
targets_filepath=targets_filepath,
probes_filepath=probes_filepath,
previous_round=Round(number=1, limit=10, offset=0),
next_round=Round(number=1, limit=10, offset=1),
max_open_files=128,
)
decompress_file(probes_filepath, probes_filepath.with_suffix(".csv"))
probes = probes_filepath.with_suffix(".csv").read_text().split()
assert len(probes) == n_probes == 120
async def test_default_inner_pipeline_round_2(clickhouse, logger, tmp_path):
measurement_uuid = str(uuid4())
agent_uuid = str(uuid4())
await clickhouse.create_tables(measurement_uuid, agent_uuid, 24, 64, drop=True)
probes_filepath = tmp_path / "probes.csv.zst"
results_filepath = tmp_path / "results.csv"
results_filepath.write_text(
"""capture_timestamp,probe_protocol,probe_src_addr,probe_dst_addr,probe_src_port,probe_dst_port,probe_ttl,quoted_ttl,reply_src_addr,reply_protocol,reply_icmp_type,reply_icmp_code,reply_ttl,reply_size,reply_mpls_labels,rtt,round
1640006077,1,::ffff:172.17.0.2,::ffff:1.0.0.1,24000,0,9,1,::ffff:80.80.80.80,1,11,0,64,59,"[]",1,1
1640006077,58,2002::1,2001::1,24000,0,9,1,2003::1,58,3,0,64,59,"[]",1,1
"""
)
results_filepath = compress_file(results_filepath)
targets_filepath = tmp_path / "targets.csv"
targets_filepath.write_text(targets_content)
n_probes = await diamond_miner_inner_pipeline(
clickhouse=clickhouse,
logger=logger,
measurement_uuid=measurement_uuid,
agent_uuid=agent_uuid,
agent_min_ttl=2,
sliding_window_stopping_condition=3,
tool_parameters=ToolParameters(),
results_filepath=results_filepath,
targets_filepath=targets_filepath,
probes_filepath=probes_filepath,
previous_round=Round(number=1, limit=10, offset=1),
next_round=Round(number=2, limit=0, offset=0),
max_open_files=128,
)
# No load-balancing, so Diamond-Miner should stop here.
assert n_probes == 0
assert not probes_filepath.exists()
| 40.733333 | 235 | 0.721113 | 864 | 6,110 | 4.800926 | 0.165509 | 0.067502 | 0.037608 | 0.046287 | 0.851977 | 0.824012 | 0.815092 | 0.806172 | 0.771456 | 0.731919 | 0 | 0.063344 | 0.175777 | 6,110 | 149 | 236 | 41.006711 | 0.760326 | 0.063666 | 0 | 0.745614 | 0 | 0.008772 | 0.035853 | 0.009371 | 0 | 0 | 0 | 0 | 0.052632 | 1 | 0 | false | 0 | 0.04386 | 0 | 0.04386 | 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 |
204c0931e7b88dc06094efd4f589b96810de469e | 165 | py | Python | zgw_consumers/api_models/compat.py | maykinmedia/zgw-consumers | 9b0759d9b7c3590b245004afd4c5e5474785bf91 | [
"MIT"
] | 2 | 2021-04-25T11:29:33.000Z | 2022-03-08T14:06:58.000Z | zgw_consumers/api_models/compat.py | maykinmedia/zgw-consumers | 9b0759d9b7c3590b245004afd4c5e5474785bf91 | [
"MIT"
] | 27 | 2020-04-01T07:33:02.000Z | 2022-03-14T09:11:05.000Z | zgw_consumers/api_models/compat.py | maykinmedia/zgw-consumers | 9b0759d9b7c3590b245004afd4c5e5474785bf91 | [
"MIT"
] | 2 | 2020-07-30T15:40:47.000Z | 2020-11-30T10:56:29.000Z | try:
from relativedeltafield.utils import parse_relativedelta
except ImportError: # before 1.1.2
from relativedeltafield import parse_relativedelta # noqa
| 33 | 62 | 0.8 | 19 | 165 | 6.842105 | 0.684211 | 0.338462 | 0.369231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021583 | 0.157576 | 165 | 4 | 63 | 41.25 | 0.913669 | 0.10303 | 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 | 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 |
647c9b4279797820a4d46aea88f45c155ec64baa | 129 | py | Python | cabot/cabotapp/utils.py | boringusername99/cabot | 56cfed43c006e145931f46cb68e316fbaccf75cd | [
"MIT"
] | 3,865 | 2015-01-01T11:37:14.000Z | 2022-03-30T01:02:50.000Z | cabot/cabotapp/utils.py | boringusername99/cabot | 56cfed43c006e145931f46cb68e316fbaccf75cd | [
"MIT"
] | 550 | 2015-01-02T18:06:08.000Z | 2021-11-04T23:39:47.000Z | cabot/cabotapp/utils.py | boringusername99/cabot | 56cfed43c006e145931f46cb68e316fbaccf75cd | [
"MIT"
] | 598 | 2015-01-22T12:17:53.000Z | 2022-03-25T17:32:21.000Z | from django.contrib.auth import get_user_model
def cabot_needs_setup():
return not get_user_model().objects.all().exists()
| 21.5 | 54 | 0.775194 | 20 | 129 | 4.7 | 0.85 | 0.148936 | 0.255319 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116279 | 129 | 5 | 55 | 25.8 | 0.824561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 8 |
64810f006dbf492f8a5577c3f60c47b36d5e4ad0 | 5,664 | py | Python | jmpMacDict.py | Nibble-Knowledge/macro-assembler | 6c396625ef57edac0006a040ecce1c1eb534d488 | [
"Unlicense"
] | null | null | null | jmpMacDict.py | Nibble-Knowledge/macro-assembler | 6c396625ef57edac0006a040ecce1c1eb534d488 | [
"Unlicense"
] | null | null | null | jmpMacDict.py | Nibble-Knowledge/macro-assembler | 6c396625ef57edac0006a040ecce1c1eb534d488 | [
"Unlicense"
] | null | null | null | #!/usr/bin/python
#Note for future modifications: 2's complement compare flag
#(the XOR of the sign and overflow flags) being 1 means that
#the subtraction result was strictly less than zero
jmpMac = dict()
jmpMac["JMPEQ"] = """\
XOR $op1 $op2 INTO macro[2]
LOD macro[2]
JMP $dest"""
jmpMac["JMPNE"] = """\
XOR $op1 $op2 INTO macro[2]
LOD macro[2]
LOGNOT ACC
JMP $dest"""
#inverse of JMPLE
jmpMac["JMPG"] = """\
USTC ACC
CMPC $op1 $op2
GETCMP ACC
LOGNOT ACC
JMP $dest"""
#inverse of JMPGE
jmpMac["JMPL"] = """\
USTC ACC
CMPC $op2 $op1
GETCMP ACC
LOGNOT ACC
JMP $dest"""
#Subtract op1 from op2
#if CMP is 0, result was 0 or greater
#thus op1 was GE to op2
jmpMac["JMPGE"] = """\
USTC ACC
CMPC $op2 $op1
GETCMP ACC
JMP $dest"""
#subtract op2 from op1
#if CMP is 0, result was 0 or greater
#so thus op2 was less than or equal to op1
jmpMac["JMPLE"] = """\
USTC ACC
CMPC $op1 $op2
GETCMP ACC
JMP $dest"""
#larger jump macros.
jmpMac["JMPEQ8"] = """\
XOR8 $op1 $op2 INTO macro[2]
OR macro[2] macro[3] INTO macro[1]
LOD macro[1]
JMP $dest"""
jmpMac["JMPNE8"] = """\
XOR8 $op1 $op2 INTO macro[2]
OR macro[3] macro[2] INTO macro[1]
LOD macro[1]
LOGNOT ACC
JMP $dest"""
jmpMac["JMPEQ16"] = """\
XOR16 $op1 $op2 INTO macro[2]
OR macro[2] macro[5] INTO macro[2]
OR macro[2] macro[4] INTO macro[2]
OR macro[2] macro[3] INTO macro[2]
LOD macro[2]
JMP $dest"""
jmpMac["JMPNE16"] = """\
XOR16 $op1 $op2 INTO macro[2]
OR macro[2] macro[5] INTO macro[2]
OR macro[2] macro[4] INTO macro[2]
OR macro[2] macro[3] INTO macro[2]
LOD macro[2]
LOGNOT ACC
JMP $dest"""
jmpMac["JMPEQ32"] = """\
XOR32 $op1 $op2 INTO macro[2]
OR macro[2] macro[9] INTO macro[2]
OR macro[2] macro[8] INTO macro[2]
OR macro[2] macro[7] INTO macro[2]
OR macro[2] macro[6] INTO macro[2]
OR macro[2] macro[5] INTO macro[2]
OR macro[2] macro[4] INTO macro[2]
OR macro[2] macro[3] INTO macro[2]
LOD macro[2]
JMP $dest"""
jmpMac["JMPNE32"] = """\
XOR32 $op1 $op2 INTO macro[2]
OR macro[2] macro[9] INTO macro[2]
OR macro[2] macro[8] INTO macro[2]
OR macro[2] macro[7] INTO macro[2]
OR macro[2] macro[6] INTO macro[2]
OR macro[2] macro[5] INTO macro[2]
OR macro[2] macro[4] INTO macro[2]
OR macro[2] macro[3] INTO macro[2]
LOD macro[2]
LOGNOT ACC
JMP $dest"""
jmpMac["JMPEQ64"] = """\
XOR64 $op1 $op2 INTO macro[2]
OR macro[2] macro[11] INTO macro[2]
OR macro[2] macro[10] INTO macro[2]
OR macro[2] macro[F] INTO macro[2]
OR macro[2] macro[E] INTO macro[2]
OR macro[2] macro[D] INTO macro[2]
OR macro[2] macro[C] INTO macro[2]
OR macro[2] macro[B] INTO macro[2]
OR macro[2] macro[A] INTO macro[2]
OR macro[2] macro[9] INTO macro[2]
OR macro[2] macro[8] INTO macro[2]
OR macro[2] macro[7] INTO macro[2]
OR macro[2] macro[6] INTO macro[2]
OR macro[2] macro[5] INTO macro[2]
OR macro[2] macro[4] INTO macro[2]
OR macro[2] macro[3] INTO macro[2]
LOD macro[2]
JMP $dest"""
jmpMac["JMPNE64"] = """\
XOR64 $op1 $op2 INTO macro[2]
OR macro[2] macro[11] INTO macro[2]
OR macro[2] macro[10] INTO macro[2]
OR macro[2] macro[F] INTO macro[2]
OR macro[2] macro[E] INTO macro[2]
OR macro[2] macro[D] INTO macro[2]
OR macro[2] macro[C] INTO macro[2]
OR macro[2] macro[B] INTO macro[2]
OR macro[2] macro[A] INTO macro[2]
OR macro[2] macro[9] INTO macro[2]
OR macro[2] macro[8] INTO macro[2]
OR macro[2] macro[7] INTO macro[2]
OR macro[2] macro[6] INTO macro[2]
OR macro[2] macro[5] INTO macro[2]
OR macro[2] macro[4] INTO macro[2]
OR macro[2] macro[3] INTO macro[2]
LOD macro[2]
LOGNOT ACC
JMP $dest"""
jmpMac["JMPG8"] = """\
USTC ACC
CMPC $op1[1] $op2[1]
CMPC $op1[0] $op2[0]
GETCMP ACC
LOGNOT ACC
JMP $dest"""
jmpMac["JMPL8"] = """\
JMPG8 $op2 $op1 TO $dest
"""
jmpMac["JMPLE8"] = """\
USTC ACC
CMPC $op1[1] $op2[1]
CMPC $op1[0] $op2[0]
GETCMP ACC
JMP $dest"""
jmpMac["JMPGE8"] = """\
JMPLE8 $op2 $op1 TO $dest"""
jmpMac["JMPG16"] = """\
USTC ACC
CMPC $op1[3] $op2[3]
CMPC $op1[2] $op2[2]
CMPC $op1[1] $op2[1]
CMPC $op1[0] $op2[0]
GETCMP ACC
LOGNOT ACC
JMP $dest
"""
jmpMac["JMPL16"] = """\
JMPG16 $op2 $op1 TO $dest
"""
jmpMac["JMPLE16"] = """\
USTC ACC
CMPC $op1[3] $op2[3]
CMPC $op1[2] $op2[2]
CMPC $op1[1] $op2[1]
CMPC $op1[0] $op2[0]
GETCMP ACC
JMP $dest"""
jmpMac["JMPGE16"] = """\
JMPL16 $op2 $op1 TO $dest"""
jmpMac["JMPL32"] = """\
JMPG32 $op2 $op1 TO $dest"""
jmpMac["JMPG32"] = """\
USTC ACC
CMPC $op1[7] $op2[7]
CMPC $op1[6] $op2[6]
CMPC $op1[5] $op2[5]
CMPC $op1[4] $op2[4]
CMPC $op1[3] $op2[3]
CMPC $op1[2] $op2[2]
CMPC $op1[1] $op2[1]
CMPC $op1[0] $op2[0]
GETCMP ACC
LOGNOT ACC
JMP $dest
"""
jmpMac["JMPLE32"] = """\
USTC ACC
CMPC $op1[7] $op2[7]
CMPC $op1[6] $op2[6]
CMPC $op1[5] $op2[5]
CMPC $op1[4] $op2[4]
CMPC $op1[3] $op2[3]
CMPC $op1[2] $op2[2]
CMPC $op1[1] $op2[1]
CMPC $op1[0] $op2[0]
GETCMP ACC
JMP $dest"""
jmpMac["JMPGE32"] = """\
JMPLE32 $op2 $op1 TO $dest"""
jmpMac["JMPL64"] = """\
JMPG64 $op2 $op1 TO $dest"""
jmpMac["JMPG64"] = """\
USTC ACC
CMPC $op1[F] $op2[F]
CMPC $op1[E] $op2[E]
CMPC $op1[D] $op2[D]
CMPC $op1[C] $op2[C]
CMPC $op1[B] $op2[B]
CMPC $op1[A] $op2[A]
CMPC $op1[9] $op2[9]
CMPC $op1[8] $op2[8]
CMPC $op1[7] $op2[7]
CMPC $op1[6] $op2[6]
CMPC $op1[5] $op2[5]
CMPC $op1[4] $op2[4]
CMPC $op1[3] $op2[3]
CMPC $op1[2] $op2[2]
CMPC $op1[1] $op2[1]
CMPC $op1[0] $op2[0]
GETCMP ACC
LOGNOT ACC
JMP $dest"""
jmpMac["JMPLE64"] = """\
USTC ACC
CMPC $op1[F] $op2[F]
CMPC $op1[E] $op2[E]
CMPC $op1[D] $op2[D]
CMPC $op1[C] $op2[C]
CMPC $op1[B] $op2[B]
CMPC $op1[A] $op2[A]
CMPC $op1[9] $op2[9]
CMPC $op1[8] $op2[8]
CMPC $op1[7] $op2[7]
CMPC $op1[6] $op2[6]
CMPC $op1[5] $op2[5]
CMPC $op1[4] $op2[4]
CMPC $op1[3] $op2[3]
CMPC $op1[2] $op2[2]
CMPC $op1[1] $op2[1]
CMPC $op1[0] $op2[0]
GETCMP ACC
JMP $dest"""
jmpMac["JMPGE64"] = """\
JMPLE64 $op2 $op1 TO $dest"""
| 19.735192 | 60 | 0.63577 | 1,117 | 5,664 | 3.223814 | 0.098478 | 0.199944 | 0.16662 | 0.173285 | 0.837823 | 0.796723 | 0.774785 | 0.745904 | 0.737295 | 0.706748 | 0 | 0.107248 | 0.157133 | 5,664 | 286 | 61 | 19.804196 | 0.647047 | 0.072564 | 0 | 0.826271 | 0 | 0 | 0.873067 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
b3b5cabfb46816ab80797bdaeafa1f7285229554 | 31,040 | py | Python | sdk/python/pulumi_yandex/alb_load_balancer.py | pulumi/pulumi-yandex | 559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e | [
"ECL-2.0",
"Apache-2.0"
] | 9 | 2021-04-20T15:39:41.000Z | 2022-02-20T09:14:39.000Z | sdk/python/pulumi_yandex/alb_load_balancer.py | pulumi/pulumi-yandex | 559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e | [
"ECL-2.0",
"Apache-2.0"
] | 56 | 2021-04-20T11:31:03.000Z | 2022-03-31T15:53:06.000Z | sdk/python/pulumi_yandex/alb_load_balancer.py | pulumi/pulumi-yandex | 559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e | [
"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
from . import outputs
from ._inputs import *
__all__ = ['AlbLoadBalancerArgs', 'AlbLoadBalancer']
@pulumi.input_type
class AlbLoadBalancerArgs:
def __init__(__self__, *,
allocation_policy: pulumi.Input['AlbLoadBalancerAllocationPolicyArgs'],
network_id: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None,
folder_id: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
listeners: Optional[pulumi.Input[Sequence[pulumi.Input['AlbLoadBalancerListenerArgs']]]] = None,
name: Optional[pulumi.Input[str]] = None,
region_id: Optional[pulumi.Input[str]] = None,
security_group_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a AlbLoadBalancer resource.
:param pulumi.Input['AlbLoadBalancerAllocationPolicyArgs'] allocation_policy: Allocation zones for the Load Balancer instance. The structure is documented below.
:param pulumi.Input[str] network_id: ID of the network that the Load Balancer is located at.
:param pulumi.Input[str] description: An optional description of the Load Balancer.
:param pulumi.Input[str] folder_id: The ID of the folder to which the resource belongs. If omitted, the provider folder is used.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] labels: Labels to assign to this Load Balancer. A list of key/value pairs.
:param pulumi.Input[Sequence[pulumi.Input['AlbLoadBalancerListenerArgs']]] listeners: List of listeners for the Load Balancer. The structure is documented below.
:param pulumi.Input[str] name: name of SNI match.
:param pulumi.Input[str] region_id: ID of the region that the Load Balancer is located at.
:param pulumi.Input[Sequence[pulumi.Input[str]]] security_group_ids: A list of ID's of security groups attached to the Load Balancer.
"""
pulumi.set(__self__, "allocation_policy", allocation_policy)
pulumi.set(__self__, "network_id", network_id)
if description is not None:
pulumi.set(__self__, "description", description)
if folder_id is not None:
pulumi.set(__self__, "folder_id", folder_id)
if labels is not None:
pulumi.set(__self__, "labels", labels)
if listeners is not None:
pulumi.set(__self__, "listeners", listeners)
if name is not None:
pulumi.set(__self__, "name", name)
if region_id is not None:
pulumi.set(__self__, "region_id", region_id)
if security_group_ids is not None:
pulumi.set(__self__, "security_group_ids", security_group_ids)
@property
@pulumi.getter(name="allocationPolicy")
def allocation_policy(self) -> pulumi.Input['AlbLoadBalancerAllocationPolicyArgs']:
"""
Allocation zones for the Load Balancer instance. The structure is documented below.
"""
return pulumi.get(self, "allocation_policy")
@allocation_policy.setter
def allocation_policy(self, value: pulumi.Input['AlbLoadBalancerAllocationPolicyArgs']):
pulumi.set(self, "allocation_policy", value)
@property
@pulumi.getter(name="networkId")
def network_id(self) -> pulumi.Input[str]:
"""
ID of the network that the Load Balancer is located at.
"""
return pulumi.get(self, "network_id")
@network_id.setter
def network_id(self, value: pulumi.Input[str]):
pulumi.set(self, "network_id", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
An optional description of the Load Balancer.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="folderId")
def folder_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the folder to which the resource belongs. If omitted, the provider folder is used.
"""
return pulumi.get(self, "folder_id")
@folder_id.setter
def folder_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "folder_id", value)
@property
@pulumi.getter
def labels(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Labels to assign to this Load Balancer. A list of key/value pairs.
"""
return pulumi.get(self, "labels")
@labels.setter
def labels(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "labels", value)
@property
@pulumi.getter
def listeners(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['AlbLoadBalancerListenerArgs']]]]:
"""
List of listeners for the Load Balancer. The structure is documented below.
"""
return pulumi.get(self, "listeners")
@listeners.setter
def listeners(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['AlbLoadBalancerListenerArgs']]]]):
pulumi.set(self, "listeners", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
name of SNI match.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="regionId")
def region_id(self) -> Optional[pulumi.Input[str]]:
"""
ID of the region that the Load Balancer is located at.
"""
return pulumi.get(self, "region_id")
@region_id.setter
def region_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "region_id", value)
@property
@pulumi.getter(name="securityGroupIds")
def security_group_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of ID's of security groups attached to the Load Balancer.
"""
return pulumi.get(self, "security_group_ids")
@security_group_ids.setter
def security_group_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "security_group_ids", value)
@pulumi.input_type
class _AlbLoadBalancerState:
def __init__(__self__, *,
allocation_policy: Optional[pulumi.Input['AlbLoadBalancerAllocationPolicyArgs']] = None,
created_at: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
folder_id: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
listeners: Optional[pulumi.Input[Sequence[pulumi.Input['AlbLoadBalancerListenerArgs']]]] = None,
log_group_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
network_id: Optional[pulumi.Input[str]] = None,
region_id: Optional[pulumi.Input[str]] = None,
security_group_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
status: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering AlbLoadBalancer resources.
:param pulumi.Input['AlbLoadBalancerAllocationPolicyArgs'] allocation_policy: Allocation zones for the Load Balancer instance. The structure is documented below.
:param pulumi.Input[str] created_at: The Load Balancer creation timestamp.
:param pulumi.Input[str] description: An optional description of the Load Balancer.
:param pulumi.Input[str] folder_id: The ID of the folder to which the resource belongs. If omitted, the provider folder is used.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] labels: Labels to assign to this Load Balancer. A list of key/value pairs.
:param pulumi.Input[Sequence[pulumi.Input['AlbLoadBalancerListenerArgs']]] listeners: List of listeners for the Load Balancer. The structure is documented below.
:param pulumi.Input[str] log_group_id: Cloud log group used by the Load Balancer to store access logs.
:param pulumi.Input[str] name: name of SNI match.
:param pulumi.Input[str] network_id: ID of the network that the Load Balancer is located at.
:param pulumi.Input[str] region_id: ID of the region that the Load Balancer is located at.
:param pulumi.Input[Sequence[pulumi.Input[str]]] security_group_ids: A list of ID's of security groups attached to the Load Balancer.
:param pulumi.Input[str] status: Status of the Load Balancer.
"""
if allocation_policy is not None:
pulumi.set(__self__, "allocation_policy", allocation_policy)
if created_at is not None:
pulumi.set(__self__, "created_at", created_at)
if description is not None:
pulumi.set(__self__, "description", description)
if folder_id is not None:
pulumi.set(__self__, "folder_id", folder_id)
if labels is not None:
pulumi.set(__self__, "labels", labels)
if listeners is not None:
pulumi.set(__self__, "listeners", listeners)
if log_group_id is not None:
pulumi.set(__self__, "log_group_id", log_group_id)
if name is not None:
pulumi.set(__self__, "name", name)
if network_id is not None:
pulumi.set(__self__, "network_id", network_id)
if region_id is not None:
pulumi.set(__self__, "region_id", region_id)
if security_group_ids is not None:
pulumi.set(__self__, "security_group_ids", security_group_ids)
if status is not None:
pulumi.set(__self__, "status", status)
@property
@pulumi.getter(name="allocationPolicy")
def allocation_policy(self) -> Optional[pulumi.Input['AlbLoadBalancerAllocationPolicyArgs']]:
"""
Allocation zones for the Load Balancer instance. The structure is documented below.
"""
return pulumi.get(self, "allocation_policy")
@allocation_policy.setter
def allocation_policy(self, value: Optional[pulumi.Input['AlbLoadBalancerAllocationPolicyArgs']]):
pulumi.set(self, "allocation_policy", value)
@property
@pulumi.getter(name="createdAt")
def created_at(self) -> Optional[pulumi.Input[str]]:
"""
The Load Balancer creation timestamp.
"""
return pulumi.get(self, "created_at")
@created_at.setter
def created_at(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "created_at", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
An optional description of the Load Balancer.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="folderId")
def folder_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the folder to which the resource belongs. If omitted, the provider folder is used.
"""
return pulumi.get(self, "folder_id")
@folder_id.setter
def folder_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "folder_id", value)
@property
@pulumi.getter
def labels(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Labels to assign to this Load Balancer. A list of key/value pairs.
"""
return pulumi.get(self, "labels")
@labels.setter
def labels(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "labels", value)
@property
@pulumi.getter
def listeners(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['AlbLoadBalancerListenerArgs']]]]:
"""
List of listeners for the Load Balancer. The structure is documented below.
"""
return pulumi.get(self, "listeners")
@listeners.setter
def listeners(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['AlbLoadBalancerListenerArgs']]]]):
pulumi.set(self, "listeners", value)
@property
@pulumi.getter(name="logGroupId")
def log_group_id(self) -> Optional[pulumi.Input[str]]:
"""
Cloud log group used by the Load Balancer to store access logs.
"""
return pulumi.get(self, "log_group_id")
@log_group_id.setter
def log_group_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "log_group_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
name of SNI match.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="networkId")
def network_id(self) -> Optional[pulumi.Input[str]]:
"""
ID of the network that the Load Balancer is located at.
"""
return pulumi.get(self, "network_id")
@network_id.setter
def network_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "network_id", value)
@property
@pulumi.getter(name="regionId")
def region_id(self) -> Optional[pulumi.Input[str]]:
"""
ID of the region that the Load Balancer is located at.
"""
return pulumi.get(self, "region_id")
@region_id.setter
def region_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "region_id", value)
@property
@pulumi.getter(name="securityGroupIds")
def security_group_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of ID's of security groups attached to the Load Balancer.
"""
return pulumi.get(self, "security_group_ids")
@security_group_ids.setter
def security_group_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "security_group_ids", value)
@property
@pulumi.getter
def status(self) -> Optional[pulumi.Input[str]]:
"""
Status of the Load Balancer.
"""
return pulumi.get(self, "status")
@status.setter
def status(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "status", value)
class AlbLoadBalancer(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
allocation_policy: Optional[pulumi.Input[pulumi.InputType['AlbLoadBalancerAllocationPolicyArgs']]] = None,
description: Optional[pulumi.Input[str]] = None,
folder_id: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
listeners: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AlbLoadBalancerListenerArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
network_id: Optional[pulumi.Input[str]] = None,
region_id: Optional[pulumi.Input[str]] = None,
security_group_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
__props__=None):
"""
Creates an Application Load Balancer in the specified folder. For more information, see
[the official documentation](https://cloud.yandex.com/en/docs/application-load-balancer/concepts/application-load-balancer)
.
## Example Usage
```python
import pulumi
import pulumi_yandex as yandex
test_balancer = yandex.AlbLoadBalancer("test-balancer",
network_id=yandex_vpc_network["test-network"]["id"],
allocation_policy=yandex.AlbLoadBalancerAllocationPolicyArgs(
locations=[yandex.AlbLoadBalancerAllocationPolicyLocationArgs(
zone_id="ru-central1-a",
subnet_id=yandex_vpc_subnet["test-subnet"]["id"],
)],
),
listeners=[yandex.AlbLoadBalancerListenerArgs(
name="my-listener",
endpoints=[yandex.AlbLoadBalancerListenerEndpointArgs(
addresses=[yandex.AlbLoadBalancerListenerEndpointAddressArgs(
external_ipv4_address=yandex.AlbLoadBalancerListenerEndpointAddressExternalIpv4AddressArgs(),
)],
ports=[8080],
)],
http=yandex.AlbLoadBalancerListenerHttpArgs(
handler=yandex.AlbLoadBalancerListenerHttpHandlerArgs(
http_router_id=yandex_alb_http_router["test-router"]["id"],
),
),
)])
```
## Import
An Application Load Balancer can be imported using the `id` of the resource, e.g.
```sh
$ pulumi import yandex:index/albLoadBalancer:AlbLoadBalancer default load_balancer_id
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[pulumi.InputType['AlbLoadBalancerAllocationPolicyArgs']] allocation_policy: Allocation zones for the Load Balancer instance. The structure is documented below.
:param pulumi.Input[str] description: An optional description of the Load Balancer.
:param pulumi.Input[str] folder_id: The ID of the folder to which the resource belongs. If omitted, the provider folder is used.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] labels: Labels to assign to this Load Balancer. A list of key/value pairs.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AlbLoadBalancerListenerArgs']]]] listeners: List of listeners for the Load Balancer. The structure is documented below.
:param pulumi.Input[str] name: name of SNI match.
:param pulumi.Input[str] network_id: ID of the network that the Load Balancer is located at.
:param pulumi.Input[str] region_id: ID of the region that the Load Balancer is located at.
:param pulumi.Input[Sequence[pulumi.Input[str]]] security_group_ids: A list of ID's of security groups attached to the Load Balancer.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: AlbLoadBalancerArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Creates an Application Load Balancer in the specified folder. For more information, see
[the official documentation](https://cloud.yandex.com/en/docs/application-load-balancer/concepts/application-load-balancer)
.
## Example Usage
```python
import pulumi
import pulumi_yandex as yandex
test_balancer = yandex.AlbLoadBalancer("test-balancer",
network_id=yandex_vpc_network["test-network"]["id"],
allocation_policy=yandex.AlbLoadBalancerAllocationPolicyArgs(
locations=[yandex.AlbLoadBalancerAllocationPolicyLocationArgs(
zone_id="ru-central1-a",
subnet_id=yandex_vpc_subnet["test-subnet"]["id"],
)],
),
listeners=[yandex.AlbLoadBalancerListenerArgs(
name="my-listener",
endpoints=[yandex.AlbLoadBalancerListenerEndpointArgs(
addresses=[yandex.AlbLoadBalancerListenerEndpointAddressArgs(
external_ipv4_address=yandex.AlbLoadBalancerListenerEndpointAddressExternalIpv4AddressArgs(),
)],
ports=[8080],
)],
http=yandex.AlbLoadBalancerListenerHttpArgs(
handler=yandex.AlbLoadBalancerListenerHttpHandlerArgs(
http_router_id=yandex_alb_http_router["test-router"]["id"],
),
),
)])
```
## Import
An Application Load Balancer can be imported using the `id` of the resource, e.g.
```sh
$ pulumi import yandex:index/albLoadBalancer:AlbLoadBalancer default load_balancer_id
```
:param str resource_name: The name of the resource.
:param AlbLoadBalancerArgs 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(AlbLoadBalancerArgs, 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,
allocation_policy: Optional[pulumi.Input[pulumi.InputType['AlbLoadBalancerAllocationPolicyArgs']]] = None,
description: Optional[pulumi.Input[str]] = None,
folder_id: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
listeners: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AlbLoadBalancerListenerArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
network_id: Optional[pulumi.Input[str]] = None,
region_id: Optional[pulumi.Input[str]] = None,
security_group_ids: 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__ = AlbLoadBalancerArgs.__new__(AlbLoadBalancerArgs)
if allocation_policy is None and not opts.urn:
raise TypeError("Missing required property 'allocation_policy'")
__props__.__dict__["allocation_policy"] = allocation_policy
__props__.__dict__["description"] = description
__props__.__dict__["folder_id"] = folder_id
__props__.__dict__["labels"] = labels
__props__.__dict__["listeners"] = listeners
__props__.__dict__["name"] = name
if network_id is None and not opts.urn:
raise TypeError("Missing required property 'network_id'")
__props__.__dict__["network_id"] = network_id
__props__.__dict__["region_id"] = region_id
__props__.__dict__["security_group_ids"] = security_group_ids
__props__.__dict__["created_at"] = None
__props__.__dict__["log_group_id"] = None
__props__.__dict__["status"] = None
super(AlbLoadBalancer, __self__).__init__(
'yandex:index/albLoadBalancer:AlbLoadBalancer',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
allocation_policy: Optional[pulumi.Input[pulumi.InputType['AlbLoadBalancerAllocationPolicyArgs']]] = None,
created_at: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
folder_id: Optional[pulumi.Input[str]] = None,
labels: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
listeners: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AlbLoadBalancerListenerArgs']]]]] = None,
log_group_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
network_id: Optional[pulumi.Input[str]] = None,
region_id: Optional[pulumi.Input[str]] = None,
security_group_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
status: Optional[pulumi.Input[str]] = None) -> 'AlbLoadBalancer':
"""
Get an existing AlbLoadBalancer 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[pulumi.InputType['AlbLoadBalancerAllocationPolicyArgs']] allocation_policy: Allocation zones for the Load Balancer instance. The structure is documented below.
:param pulumi.Input[str] created_at: The Load Balancer creation timestamp.
:param pulumi.Input[str] description: An optional description of the Load Balancer.
:param pulumi.Input[str] folder_id: The ID of the folder to which the resource belongs. If omitted, the provider folder is used.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] labels: Labels to assign to this Load Balancer. A list of key/value pairs.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['AlbLoadBalancerListenerArgs']]]] listeners: List of listeners for the Load Balancer. The structure is documented below.
:param pulumi.Input[str] log_group_id: Cloud log group used by the Load Balancer to store access logs.
:param pulumi.Input[str] name: name of SNI match.
:param pulumi.Input[str] network_id: ID of the network that the Load Balancer is located at.
:param pulumi.Input[str] region_id: ID of the region that the Load Balancer is located at.
:param pulumi.Input[Sequence[pulumi.Input[str]]] security_group_ids: A list of ID's of security groups attached to the Load Balancer.
:param pulumi.Input[str] status: Status of the Load Balancer.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _AlbLoadBalancerState.__new__(_AlbLoadBalancerState)
__props__.__dict__["allocation_policy"] = allocation_policy
__props__.__dict__["created_at"] = created_at
__props__.__dict__["description"] = description
__props__.__dict__["folder_id"] = folder_id
__props__.__dict__["labels"] = labels
__props__.__dict__["listeners"] = listeners
__props__.__dict__["log_group_id"] = log_group_id
__props__.__dict__["name"] = name
__props__.__dict__["network_id"] = network_id
__props__.__dict__["region_id"] = region_id
__props__.__dict__["security_group_ids"] = security_group_ids
__props__.__dict__["status"] = status
return AlbLoadBalancer(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="allocationPolicy")
def allocation_policy(self) -> pulumi.Output['outputs.AlbLoadBalancerAllocationPolicy']:
"""
Allocation zones for the Load Balancer instance. The structure is documented below.
"""
return pulumi.get(self, "allocation_policy")
@property
@pulumi.getter(name="createdAt")
def created_at(self) -> pulumi.Output[str]:
"""
The Load Balancer creation timestamp.
"""
return pulumi.get(self, "created_at")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
An optional description of the Load Balancer.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="folderId")
def folder_id(self) -> pulumi.Output[str]:
"""
The ID of the folder to which the resource belongs. If omitted, the provider folder is used.
"""
return pulumi.get(self, "folder_id")
@property
@pulumi.getter
def labels(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
Labels to assign to this Load Balancer. A list of key/value pairs.
"""
return pulumi.get(self, "labels")
@property
@pulumi.getter
def listeners(self) -> pulumi.Output[Optional[Sequence['outputs.AlbLoadBalancerListener']]]:
"""
List of listeners for the Load Balancer. The structure is documented below.
"""
return pulumi.get(self, "listeners")
@property
@pulumi.getter(name="logGroupId")
def log_group_id(self) -> pulumi.Output[str]:
"""
Cloud log group used by the Load Balancer to store access logs.
"""
return pulumi.get(self, "log_group_id")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
name of SNI match.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="networkId")
def network_id(self) -> pulumi.Output[str]:
"""
ID of the network that the Load Balancer is located at.
"""
return pulumi.get(self, "network_id")
@property
@pulumi.getter(name="regionId")
def region_id(self) -> pulumi.Output[Optional[str]]:
"""
ID of the region that the Load Balancer is located at.
"""
return pulumi.get(self, "region_id")
@property
@pulumi.getter(name="securityGroupIds")
def security_group_ids(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
A list of ID's of security groups attached to the Load Balancer.
"""
return pulumi.get(self, "security_group_ids")
@property
@pulumi.getter
def status(self) -> pulumi.Output[str]:
"""
Status of the Load Balancer.
"""
return pulumi.get(self, "status")
| 44.855491 | 187 | 0.647197 | 3,526 | 31,040 | 5.499149 | 0.064663 | 0.10098 | 0.080144 | 0.061269 | 0.890098 | 0.868644 | 0.850542 | 0.838473 | 0.827746 | 0.810882 | 0 | 0.000642 | 0.247713 | 31,040 | 691 | 188 | 44.920405 | 0.829729 | 0.339691 | 0 | 0.739946 | 1 | 0 | 0.116522 | 0.036001 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163539 | false | 0.002681 | 0.018767 | 0 | 0.281501 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
b3c074b9b754f73fca9497d3bcb9b7d905b5ecf9 | 1,488 | py | Python | full_stack_assignment/weather/views.py | ganeshkhutwad/kisanhub-api | 7d479731cb0ea540669e91716504ea9ae8b629fa | [
"MIT"
] | null | null | null | full_stack_assignment/weather/views.py | ganeshkhutwad/kisanhub-api | 7d479731cb0ea540669e91716504ea9ae8b629fa | [
"MIT"
] | null | null | null | full_stack_assignment/weather/views.py | ganeshkhutwad/kisanhub-api | 7d479731cb0ea540669e91716504ea9ae8b629fa | [
"MIT"
] | null | null | null | import json
import os
from rest_framework.response import Response
from rest_framework.viewsets import ViewSet
DATA_DIR = os.path.dirname(__file__) + '/../../data'
class EnglandWeatherView(ViewSet):
def list(self, request):
metric = request.query_params['metric']
start_month = int(request.query_params['start_month'])
start_year = int(request.query_params['start_year'])
end_month = int(request.query_params['end_month'])
end_year = int(request.query_params['end_year'])
with open(os.path.join(DATA_DIR, metric, 'england/data.json')) as f:
data = json.loads(f.read())
filtered_list = [x for x in data if x['month'] in range(start_month, end_month + 1) and (x['year'] == start_year or x['year'] == end_year)]
return Response(filtered_list)
class ScotlandWeatherView(ViewSet):
def list(self, request):
metric = request.query_params['metric']
start_month = int(request.query_params['start_month'])
start_year = int(request.query_params['start_year'])
end_month = int(request.query_params['end_month'])
end_year = int(request.query_params['end_year'])
with open(os.path.join(DATA_DIR, metric, 'scotland/data.json')) as f:
data = json.loads(f.read())
filtered_list = [x for x in data if x['month'] in range(start_month, end_month + 1) and (x['year'] == start_year or x['year'] == end_year)]
return Response(filtered_list)
| 39.157895 | 147 | 0.668011 | 209 | 1,488 | 4.5311 | 0.229665 | 0.126716 | 0.190074 | 0.177402 | 0.804646 | 0.804646 | 0.804646 | 0.804646 | 0.804646 | 0.804646 | 0 | 0.001674 | 0.196909 | 1,488 | 37 | 148 | 40.216216 | 0.790795 | 0 | 0 | 0.666667 | 0 | 0 | 0.107527 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.148148 | 0 | 0.37037 | 0 | 0 | 0 | 0 | null | 0 | 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 | 8 |
3754945622d2d115e4d402b3633514b1248495aa | 191 | py | Python | storagebox/__init__.py | peter-emil/StorageBox | eca61de7eab84935a91e87f50476efa12b898fb3 | [
"MIT"
] | 4 | 2021-02-28T02:07:46.000Z | 2021-04-06T12:44:19.000Z | storagebox/__init__.py | peter-emil/StorageBox | eca61de7eab84935a91e87f50476efa12b898fb3 | [
"MIT"
] | null | null | null | storagebox/__init__.py | peter-emil/StorageBox | eca61de7eab84935a91e87f50476efa12b898fb3 | [
"MIT"
] | null | null | null | from storagebox.repository.deduplication import DeduplicationDynamoDbRepository
from storagebox.repository.item_bank import ItemBankDynamoDbRepository
from storagebox.api import Deduplicator
| 47.75 | 79 | 0.910995 | 18 | 191 | 9.611111 | 0.611111 | 0.242775 | 0.277457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.062827 | 191 | 3 | 80 | 63.666667 | 0.96648 | 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 |
37b683fce88f3b27583aab8ae04ee9ca77ddca13 | 1,993 | py | Python | simbots/simbots/utils/builtInEntities.py | vaibhavrr1/simbots | 9cc432c39e125962b37494be50a6ecf77aba7f39 | [
"MIT"
] | 26 | 2021-11-23T04:55:32.000Z | 2021-12-12T12:02:52.000Z | simbots/simbots/utils/builtInEntities.py | vaibhavrr1/simbots | 9cc432c39e125962b37494be50a6ecf77aba7f39 | [
"MIT"
] | null | null | null | simbots/simbots/utils/builtInEntities.py | vaibhavrr1/simbots | 9cc432c39e125962b37494be50a6ecf77aba7f39 | [
"MIT"
] | null | null | null | class EntitySamples():
"""
Contains samples for frequently used entities
"""
@staticmethod
def greetingsHelper():
"""
:return:
{'wsup': [{'tag': 'case-insensitive','pattern': "\s[w]*[a]*[s]+[u]+[p]+\s",'type': 'regex'}],'hi': [{'tag': 'case-insensitive','pattern': "\s[h]+[i]+\s", 'type': 'regex'}],'hello': [{'tag': 'case-insensitive','pattern': "\s[h]+[e]+[l]+[o]+\s",'type': 'regex'}]}
"""
return {'wsup': [{'tag': 'case-insensitive',
'pattern': "\s[w]*[a]*[s]+[u]+[p]+\s",
'type': 'regex'}],
'hi': [{'tag': 'case-insensitive',
'pattern': "\s[h]+[i]+\s", 'type': 'regex'}],
'hello': [{'tag': 'case-insensitive',
'pattern': "\s[h]+[e]+[l]+[o]+\s",
'type': 'regex'}]}
@staticmethod
def laughterHelper():
"""
:return:
{'haha': [{'tag': 'case-insensitive','pattern': "\s(h+(a|e)+)+(h+)?\s",'type': 'regex'}],'happysmily': [{'tag': 'case-insensitive','pattern': "\s\:\)\s", 'type': 'regex'}]}
"""
return {'haha': [{'tag': 'case-insensitive',
'pattern': "\s(h+(a|e)+)+(h+)?\s",
'type': 'regex'}],
'happysmily': [{'tag': 'case-insensitive',
'pattern': "\s\:\)\s", 'type': 'regex'}]}
@staticmethod
def coolHelper():
"""
:return:
{'cool': [{'tag': 'case-insensitive','pattern': "\sc+oo+l+\s", 'type': 'regex'}]}
"""
return {'cool': [{'tag': 'case-insensitive','pattern': "\sc+oo+l+\s", 'type': 'regex'}]}
@staticmethod
def byeHelper():
"""
:return:
{'bye': [{'tag': 'case-insensitive','pattern': "\s(goo+d)?b+y+e+\s", 'type': 'regex'}]}
"""
return {'bye': [{'tag': 'case-insensitive','pattern': "\s(goo+d)?(b+u+)?b+y+e+\s", 'type': 'regex'}]} | 36.236364 | 269 | 0.419468 | 200 | 1,993 | 4.18 | 0.22 | 0.117225 | 0.301435 | 0.41866 | 0.854067 | 0.800239 | 0.770335 | 0.770335 | 0.770335 | 0.770335 | 0 | 0 | 0.289513 | 1,993 | 55 | 270 | 36.236364 | 0.590395 | 0.34571 | 0 | 0.25 | 0 | 0 | 0.341947 | 0.042205 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
8075c83e4824daddaeaec1802e68a548a975d135 | 30,578 | py | Python | insights/combiners/tests/test_grub_conf.py | skateman/insights-core | e7cd3001ffc2558757b9e7759dbe27b8b29f4bac | [
"Apache-2.0"
] | 1 | 2021-11-08T16:25:01.000Z | 2021-11-08T16:25:01.000Z | insights/combiners/tests/test_grub_conf.py | ahitacat/insights-core | 0ba58dbe5edceef0bd4a74c1caf6b826381ccda5 | [
"Apache-2.0"
] | null | null | null | insights/combiners/tests/test_grub_conf.py | ahitacat/insights-core | 0ba58dbe5edceef0bd4a74c1caf6b826381ccda5 | [
"Apache-2.0"
] | null | null | null | from insights.combiners.grub_conf import GrubConf, BootLoaderEntries
from insights.parsers.grub_conf import (Grub1Config, Grub2Config, Grub2EFIConfig, Grub1EFIConfig,
BootLoaderEntries as BLE)
from insights.parsers.grubenv import GrubEnv
from insights.parsers.ls_sys_firmware import LsSysFirmware
from insights.parsers.installed_rpms import InstalledRpms
from insights.parsers.cmdline import CmdLine
from insights.tests import context_wrap
import pytest
GRUB1_TEMPLATE = """
# grub.conf generated by anaconda
#
# Note that you do not have to rerun grub after making changes to this file
# NOTICE: You have a /boot partition. This means that
# all kernel and initrd paths are relative to /boot/, eg.
# root (hd0,0)
# kernel /vmlinuz-version ro root=/dev/mapper/VolGroup-lv_root
# initrd /initrd-[generic-]version.img
#boot=/dev/sda
default=0
timeout=5
splashimage=(hd0,0)/grub/splash.xpm.gz
hiddenmenu
title Red Hat Enterprise Linux 6 (2.6.32-642.el6.x86_64)
root (hd0,0)
kernel /vmlinuz-2.6.32-642.el6.x86_64 {kernel_boot_options} ro root=/dev/mapper/VolGroup-lv_root intel_iommu=off rd_NO_LUKS LANG=en_US.UTF-8 rd_NO_MD rd_LVM_LV=VolGroup/lv_swap SYSFONT=latarcyrheb-sun16 crashkernel=auto rd_LVM_LV=VolGroup/lv_root KEYBOARDTYPE=pc KEYTABLE=us rd_NO_DM rhgb quiet
initrd /initramfs-2.6.32-642.el6.x86_64.img
title Red Hat Enterprise Linux 6 (2.6.32-642.el6.x86_64-2)
root (hd0,0)
kernel /vmlinuz-2.6.32-642.el6.x86_64 {kernel_boot_options} ro root=/dev/mapper/VolGroup-lv_root intel_iommu=on rd_NO_LUKS LANG=en_US.UTF-8 rd_NO_MD rd_LVM_LV=VolGroup/lv_swap SYSFONT=latarcyrheb-sun16 crashkernel=auto rd_LVM_LV=VolGroup/lv_root KEYBOARDTYPE=pc KEYTABLE=us rd_NO_DM rhgb quiet
initrd /initramfs-2.6.32-642.el6.x86_64.img
title Red Hat Enterprise Linux 6 (2.6.32-642.el6.x86_64-2)
root (hd0,0)
kernel /vmlinuz-2.6.32-642.el6.x86_64 {kernel_boot_options} ro root=/dev/mapper/VolGroup-lv_root rd_NO_LUKS LANG=en_US.UTF-8 rd_NO_MD rd_LVM_LV=VolGroup/lv_swap SYSFONT=latarcyrheb-sun16 crashkernel=auto rd_LVM_LV=VolGroup/lv_root KEYBOARDTYPE=pc KEYTABLE=us rd_NO_DM rhgb quiet
initrd /initramfs-2.6.32-642.el6.x86_64.img
""".strip() # noqa
# rhel-7
GRUB2_TEMPLATE = """
#
# DO NOT EDIT THIS FILE
#
# It is automatically generated by grub2-mkconfig using templates
# from /etc/grub.d and settings from /etc/default/grub
#
### BEGIN /etc/grub.d/00_header ###
set pager=1
terminal_output console
### END /etc/grub.d/00_header ###
### BEGIN /etc/grub.d/00_tuned ###
set tuned_params=""
### END /etc/grub.d/00_tuned ###
### BEGIN /etc/grub.d/01_users ###
### END /etc/grub.d/01_users ###
### BEGIN /etc/grub.d/10_linux ###
menuentry 'Red Hat Enterprise Linux Server (3.10.0-327.el7.x86_64) 7.2 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-3.10.0-327.el7.x86_64-advanced-4f80b3d4-90ba-4545-869c-febdecc586ce' {
load_video
set gfxpayload=keep
insmod gzio
insmod part_msdos
insmod xfs
set root='hd0,msdos1'
if [ x$feature_platform_search_hint = xy ]; then
search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 --hint='hd0,msdos1' 860a7b56-dbdd-498a-b085-53dc93e4650b
else
search --no-floppy --fs-uuid --set=root 860a7b56-dbdd-498a-b085-53dc93e4650b
fi
linux16 /vmlinuz-3.10.0-327.el7.x86_64 %s root=/dev/mapper/rhel-root ro crashkernel=auto rd.lvm.lv=rhel/root rd.lvm.lv=rhel/swap rhgb quiet LANG=en_US.UTF-8
initrd16 /initramfs-3.10.0-327.el7.x86_64.img
}
menuentry 'Red Hat Enterprise Linux Server (0-rescue-9f20b35c9faa49aebe171f62a11b236f) 7.2 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-0-rescue-9f20b35c9faa49aebe171f62a11b236f-advanced-4f80b3d4-90ba-4545-869c-febdecc586ce' {
load_video
insmod gzio
insmod part_msdos
insmod xfs
set root='hd0,msdos1'
if [ x$feature_platform_search_hint = xy ]; then
search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 --hint='hd0,msdos1' 860a7b56-dbdd-498a-b085-53dc93e4650b
else
search --no-floppy --fs-uuid --set=root 860a7b56-dbdd-498a-b085-53dc93e4650b
fi
linux16 /vmlinuz-0-rescue-9f20b35c9faa49aebe171f62a11b236f %s root=/dev/mapper/rhel-root ro crashkernel=auto rd.lvm.lv=rhel/root rd.lvm.lv=rhel/swap rhgb quiet
initrd16 /initramfs-0-rescue-9f20b35c9faa49aebe171f62a11b236f.img
}
""".strip() # noqa
GRUB2_TEMPLATE_BLSCFG = """
#
# DO NOT EDIT THIS FILE
#
# It is automatically generated by grub2-mkconfig using templates
# from /etc/grub.d and settings from /etc/default/grub
#
### BEGIN /etc/grub.d/00_header ###
set pager=1
terminal_output console
### END /etc/grub.d/00_header ###
### BEGIN /etc/grub.d/00_tuned ###
set tuned_params=""
### END /etc/grub.d/00_tuned ###
### BEGIN /etc/grub.d/01_users ###
### END /etc/grub.d/01_users ###
insmod blscfg
blscfg
if [ -s $prefix/grubenv ]; then
load_env
fi
if [ -z "${kernelopts}" ]; then
set kernelopts="root=/dev/mapper/rhel-root ro crashkernel=auto resume=/dev/mapper/rhel-swap rd.lvm.lv=rhel/root rd.lvm.lv=rhel/swap rhgb quiet transparent_hugepage=never "
fi
""".strip() # noqa
GRUB2_TEMPLATE_NO_BLSCFG = """
#
# DO NOT EDIT THIS FILE
#
# It is automatically generated by grub2-mkconfig using templates
# from /etc/grub.d and settings from /etc/default/grub
#
### BEGIN /etc/grub.d/00_header ###
set pager=1
terminal_output console
### END /etc/grub.d/00_header ###
### BEGIN /etc/grub.d/00_tuned ###
set tuned_params=""
### END /etc/grub.d/00_tuned ###
### BEGIN /etc/grub.d/01_users ###
### END /etc/grub.d/01_users ###
### BEGIN /etc/grub.d/10_linux ###
menuentry 'Red Hat Enterprise Linux Server (4.18.0-240.el8.x86_64) 8.3 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-3.10.0-327.el7.x86_64-advanced-4f80b3d4-90ba-4545-869c-febdecc586ce' {
load_video
set gfxpayload=keep
insmod gzio
insmod part_msdos
insmod xfs
set root='hd0,msdos1'
if [ x$feature_platform_search_hint = xy ]; then
search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 --hint='hd0,msdos1' 860a7b56-dbdd-498a-b085-53dc93e4650b
else
search --no-floppy --fs-uuid --set=root 860a7b56-dbdd-498a-b085-53dc93e4650b
fi
linux16 /vmlinuz-4.18.0-240.el8.x86_64 %s root=/dev/mapper/rhel-root ro crashkernel=auto rd.lvm.lv=rhel/root rd.lvm.lv=rhel/swap rhgb quiet LANG=en_US.UTF-8
initrd16 /initramfs-4.18.0-240.el8.x86_64.img
}
menuentry 'Red Hat Enterprise Linux Server (0-rescue-9f20b35c9faa49aebe171f62a11b236f) 8.3 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-0-rescue-9f20b35c9faa49aebe171f62a11b236f-advanced-4f80b3d4-90ba-4545-869c-febdecc586ce' {
load_video
insmod gzio
insmod part_msdos
insmod xfs
set root='hd0,msdos1'
if [ x$feature_platform_search_hint = xy ]; then
search --no-floppy --fs-uuid --set=root --hint-bios=hd0,msdos1 --hint-efi=hd0,msdos1 --hint-baremetal=ahci0,msdos1 --hint='hd0,msdos1' 860a7b56-dbdd-498a-b085-53dc93e4650b
else
search --no-floppy --fs-uuid --set=root 860a7b56-dbdd-498a-b085-53dc93e4650b
fi
linux16 /vmlinuz-0-rescue-9f20b35c9faa49aebe171f62a11b236f %s root=/dev/mapper/rhel-root ro crashkernel=auto rd.lvm.lv=rhel/root rd.lvm.lv=rhel/swap rhgb quiet
initrd16 /initramfs-0-rescue-9f20b35c9faa49aebe171f62a11b236f.img
}
""".strip() # noqa
GRUB2_EFI_CFG = """
### BEGIN /etc/grub.d/10_linux ###
menuentry 'Red Hat Enterprise Linux Server (3.10.0-514.16.1.el7.x86_64) 7.3 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-3.10.0-514.el7.x86_64-advanced-9727cab4-12c2-41a8-9527-9644df34e586' {
load_video
set gfxpayload=keep
insmod gzio
insmod part_gpt
insmod xfs
set root='hd0,gpt2'
if [ x$feature_platform_search_hint = xy ]; then
search --no-floppy --fs-uuid --set=root --hint-bios=hd0,gpt2 --hint-efi=hd0,gpt2 --hint-baremetal=ahci0,gpt2 d80fa96c-ffa1-4894-9282-aeda37f0befe
else
search --no-floppy --fs-uuid --set=root d80fa96c-ffa1-4894-9282-aeda37f0befe
fi
linuxefi /vmlinuz-3.10.0-514.16.1.el7.x86_64 root=/dev/mapper/rhel-root ro rd.luks.uuid=luks-a40b320e-0711-4cd6-8f9e-ce32810e2a79 rd.lvm.lv=rhel/root rd.lvm.lv=rhel/swap rhgb quiet LANG=en_US.UTF-8
initrdefi /initramfs-3.10.0-514.16.1.el7.x86_64.img
}
menuentry 'Red Hat Enterprise Linux Server (3.10.0-514.10.2.el7.x86_64) 7.3 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-3.10.0-514.el7.x86_64-advanced-9727cab4-12c2-41a8-9527-9644df34e586' {
load_video
set gfxpayload=keep
insmod gzio
insmod part_gpt
insmod xfs
set root='hd0,gpt2'
if [ x$feature_platform_search_hint = xy ]; then
search --no-floppy --fs-uuid --set=root --hint-bios=hd0,gpt2 --hint-efi=hd0,gpt2 --hint-baremetal=ahci0,gpt2 d80fa96c-ffa1-4894-9282-aeda37f0befe
else
search --no-floppy --fs-uuid --set=root d80fa96c-ffa1-4894-9282-aeda37f0befe
fi
linuxefi /vmlinuz-3.10.0-514.10.2.el7.x86_64 root=/dev/mapper/rhel-root ro rd.luks.uuid=luks-a40b320e-0711-4cd6-8f9e-ce32810e2a79 rd.lvm.lv=rhel/root rd.lvm.lv=rhel/swap rhgb quiet LANG=en_US.UTF-8
initrdefi /initramfs-3.10.0-514.10.2.el7.x86_64.img
}
menuentry 'Red Hat Enterprise Linux Server (3.10.0-514.el7.x86_64) 7.3 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-3.10.0-514.el7.x86_64-advanced-9727cab4-12c2-41a8-9527-9644df34e586' {
load_video
set gfxpayload=keep
insmod gzio
insmod part_gpt
insmod xfs
set root='hd0,gpt2'
if [ x$feature_platform_search_hint = xy ]; then
search --no-floppy --fs-uuid --set=root --hint-bios=hd0,gpt2 --hint-efi=hd0,gpt2 --hint-baremetal=ahci0,gpt2 d80fa96c-ffa1-4894-9282-aeda37f0befe
else
search --no-floppy --fs-uuid --set=root d80fa96c-ffa1-4894-9282-aeda37f0befe
fi
linuxefi /vmlinuz-3.10.0-514.el7.x86_64 root=/dev/mapper/rhel-root ro rd.luks.uuid=luks-a40b320e-0711-4cd6-8f9e-ce32810e2a79 rd.lvm.lv=rhel/root rd.lvm.lv=rhel/swap rhgb quiet LANG=en_US.UTF-8
initrdefi /initramfs-3.10.0-514.el7.x86_64.img
}
menuentry 'Red Hat Enterprise Linux Server (0-rescue-f1340b5dd6ee4c26b587621566111421) 7.3 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-0-rescue-f1340b5dd6ee4c26b587621566111421-advanced-9727cab4-12c2-41a8-9527-9644df34e586' {
load_video
insmod gzio
insmod part_gpt
insmod xfs
set root='hd0,gpt2'
if [ x$feature_platform_search_hint = xy ]; then
search --no-floppy --fs-uuid --set=root --hint-bios=hd0,gpt2 --hint-efi=hd0,gpt2 --hint-baremetal=ahci0,gpt2 d80fa96c-ffa1-4894-9282-aeda37f0befe
else
search --no-floppy --fs-uuid --set=root d80fa96c-ffa1-4894-9282-aeda37f0befe
fi
linuxefi /vmlinuz-0-rescue-f1340b5dd6ee4c26b587621566111421 root=/dev/mapper/rhel-root ro rd.luks.uuid=luks-a40b320e-0711-4cd6-8f9e-ce32810e2a79 rd.lvm.lv=rhel/root rd.lvm.lv=rhel/swap rhgb quiet
initrdefi /initramfs-0-rescue-f1340b5dd6ee4c26b587621566111421.img
}
### END /etc/grub.d/10_linux ###
""".strip() # noqa
GRUB1_EFI_CFG = """
# grub.conf generated by anaconda
#
# Note that you do not have to rerun grub after making changes to this file
# NOTICE: You have a /boot partition. This means that
# all kernel and initrd paths are relative to /boot/, eg.
# root (hd0,1)
# kernel /vmlinuz-version ro root=/dev/mapper/VolGroup-lv_root
# initrd /initrd-[generic-]version.img
#boot=/dev/mpathap1
default=0
timeout=5
splashimage=(hd0,1)/grub/splash.xpm.gz
hiddenmenu
title Red Hat Enterprise Linux (2.6.32-71.el6.x86_64)
root (hd0,1)
kernel /vmlinuz-2.6.32-71.el6.x86_64 ro root=/dev/mapper/VolGroup-lv_root rd_LVM_LV=VolGroup/lv_root rd_LVM_LV=VolGroup/lv_swap rd_NO_LUKS rd_NO_MD rd_NO_DM LANG=en_US.UTF-8 SYSFONT=latarcyrheb-sun16 KEYBOARDTYPE=pc KEYTABLE=us crashkernel=auto rhgb quiet
initrd /initramfs-2.6.32-71.el6.x86_64.img
""".strip() # noqa
SYS_FIRMWARE_DIR_NOEFI = """
/sys/firmware:
total 0
drwxr-xr-x. 5 0 0 0 May 30 11:50 .
dr-xr-xr-x. 13 0 0 0 May 30 11:50 ..
drwxr-xr-x. 5 0 0 0 May 30 11:50 acpi
drwxr-xr-x. 3 0 0 0 May 30 11:51 dmi
drwxr-xr-x. 7 0 0 0 May 30 12:31 memmap
/sys/firmware/acpi:
total 0
drwxr-xr-x. 5 0 0 0 May 30 11:50 .
drwxr-xr-x. 5 0 0 0 May 30 11:50 ..
drwxr-xr-x. 6 0 0 0 May 30 12:31 hotplug
drwxr-xr-x. 2 0 0 0 May 30 12:31 interrupts
-r--r--r--. 1 0 0 4096 May 30 12:31 pm_profile
drwxr-xr-x. 3 0 0 0 May 30 11:50 tables
""".strip()
SYS_FIRMWARE_DIR_EFI = """
/sys/firmware:
total 0
drwxr-xr-x. 5 0 0 0 May 30 11:50 .
dr-xr-xr-x. 13 0 0 0 May 30 11:50 ..
drwxr-xr-x. 5 0 0 0 May 30 11:50 acpi
drwxr-xr-x. 3 0 0 0 May 30 11:51 dmi
drwxr-xr-x. 7 0 0 0 May 30 12:31 memmap
/sys/firmware/efi:
total 0
drwxr-xr-x. 5 0 0 0 May 30 11:50 .
drwxr-xr-x. 5 0 0 0 May 30 11:50 ..
""".strip()
INSTALLED_RPMS_V1 = """
grub-0.97-94.el6.x86_64 Mon Jan 8 18:35:25 2018
libreport-compat-2.0.9-24.el6.x86_64 Mon Jan 8 18:32:59 2018
make-3.81-20.el6.x86_64 Mon Jan 8 18:31:49 2018
""".strip()
INSTALLED_RPMS_V2 = """
grub2-2.02-0.44.el7.x86_64 Wed May 10 14:10:30 2017
libwbclient-4.4.4-12.el7_3.x86_64 Wed May 10 14:08:10 2017
xorg-x11-drv-vmmouse-13.0.0-12.el7.x86_64 Wed May 10 14:10:36 2017
""".strip()
CMDLINE_V1 = """
ro root=/dev/mapper/vg_rhel6box-lv_root rd_NO_LUKS LANG=en_US.UTF-8 rd_LVM_LV=vg_rhel6box/lv_swap rd_LVM_LV=vg_rhel6box/lv_root rd_NO_MD SYSFONT=latarcyrheb-sun16 crashkernel=129M@0M KEYBOAR DTYPE=pc KEYTABLE=us rd_NO_DM rhgb quiet
""".strip() # noqa
CMDLINE_V2 = """
BOOT_IMAGE=/vmlinuz-3.10.0-514.10.2.el7.x86_64 root=/dev/mapper/vg_system-lv_root ro crashkernel=auto rd.lvm.lv=vg_system/lv_root rd.lvm.lv=vg_system/lv_swap rhgb quiet LANG=en_US.UTF-8
""".strip() # noqa
BOOT_LOADER_ENTRIES_1 = """
title Red Hat Enterprise Linux (4.18.0-80.1.2.el8_0.x86_64) 8.0 (Ootpa)
version 4.18.0-80.1.2.el8_0.x86_64
linux /vmlinuz-4.18.0-80.1.2.el8_0.x86_64
initrd /initramfs-4.18.0-80.1.2.el8_0.x86_64.img $tuned_initrd
options root=/dev/mapper/rhel_vm37--146-root ro crashkernel=auto resume=/dev/mapper/rhel_vm37--146-swap rd.lvm.lv=rhel_vm37-146/root rd.lvm.lv=rhel_vm37-146/swap $tuned_params noapic
id rhel-20190428101407-4.18.0-80.1.2.el8_0.x86_64
grub_users $grub_users
grub_arg --unrestricted
grub_class kernel
""".strip() # noqa
BOOT_LOADER_ENTRIES_2 = """
title Red Hat Enterprise Linux (4.18.0-32.el8.x86_64) 8.0 (Ootpa)
version 4.18.0-32.el8.x86_64
linux /vmlinuz-4.18.0-32.el8.x86_64
initrd /initramfs-4.18.0-32.el8.x86_64.img
options root=/dev/mapper/rhel_rhel8-root ro elevator=noop no_timer_check crashkernel=auto resume=/dev/mapper/rhel_rhel8-swap rd.lvm.lv=rhel_rhel8/root rd.lvm.lv=rhel_rhel8/swap biosdevname=0 net.ifnames=0 rhgb
id rhel-20181027203430-4.18.0-32.el8.x86_64
grub_users $grub_users
grub_arg --unrestricted
grub_class kernel
""".strip() # noqa
BOOT_LOADER_ENTRIES_3 = """
title Red Hat Enterprise Linux (4.18.0-305.el8.x86_64) 8.4 (Ootpa)
version 4.18.0-305.el8.x86_64
linux /vmlinuz-4.18.0-305.el8.x86_64
initrd /initramfs-4.18.0-305.el8.x86_64.img $tuned_initrd
options $kernelopts $tuned_params
id rhel-20210429130346-4.18.0-305.el8.x86_64
grub_users $grub_users
grub_arg --unrestricted
grub_class kernel
""".strip()
GRUBENV_WITH_TUNED_PARAMS = """
# GRUB Environment Block
saved_entry=295e1ba1696e4fad9e062f096f92d147-4.18.0-305.el8.x86_64
kernelopts=root=/dev/mapper/root_vg-lv_root ro crashkernel=auto resume=/dev/mapper/root_vg-lv_swap rd.lvm.lv=root_vg/lv_root rd.lvm.lv=root_vg/lv_swap console=tty0 console=ttyS0,115200 noapic
boot_success=0
boot_indeterminate=2
tuned_params=transparent_hugepages=never
tuned_initrd=
###############################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################
""".strip() # noqa
def test_grub1_only1():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
cmdline = CmdLine(context_wrap(CMDLINE_V1))
result = GrubConf(grub1, None, None, None, None, None, cmdline, None)
assert result.kernel_initrds['grub_kernels'][0] == 'vmlinuz-2.6.32-642.el6.x86_64'
assert result.kernel_initrds['grub_initrds'][0] == 'initramfs-2.6.32-642.el6.x86_64.img'
assert result.is_kdump_iommu_enabled is True
assert result.get_grub_cmdlines() == result.get_grub_cmdlines('/vmlinuz')
assert len(result.get_grub_cmdlines()) == 3
assert result.version == 1
assert result.is_efi is False
def test_grub1_cmdline():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
grub1e = Grub1EFIConfig(context_wrap(GRUB1_EFI_CFG))
grub2e = Grub2EFIConfig(context_wrap(GRUB2_EFI_CFG))
cmdline = CmdLine(context_wrap(CMDLINE_V1))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_NOEFI))
result = GrubConf(grub1, grub2, grub1e, grub2e, None, None, cmdline, sys_firmware)
assert result.kernel_initrds['grub_kernels'][0] == 'vmlinuz-2.6.32-642.el6.x86_64'
assert result.kernel_initrds['grub_initrds'][0] == 'initramfs-2.6.32-642.el6.x86_64.img'
assert result.is_kdump_iommu_enabled is True
assert result.get_grub_cmdlines() == result.get_grub_cmdlines('/vmlinuz')
assert len(result.get_grub_cmdlines()) == 3
assert result.version == 1
assert result.is_efi is False
def test_grub1_efi_cmdline():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
grub1e = Grub1EFIConfig(context_wrap(GRUB1_EFI_CFG))
grub2e = Grub2EFIConfig(context_wrap(GRUB2_EFI_CFG))
cmdline = CmdLine(context_wrap(CMDLINE_V1))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_EFI))
result = GrubConf(grub1, grub2, grub1e, grub2e, None, None, cmdline, sys_firmware)
assert result.kernel_initrds['grub_kernels'][0] == 'vmlinuz-2.6.32-71.el6.x86_64'
assert result.kernel_initrds['grub_initrds'][0] == 'initramfs-2.6.32-71.el6.x86_64.img'
assert result.is_kdump_iommu_enabled is False
assert len(result.get_grub_cmdlines()) == 1
assert result.version == 1
assert result.is_efi is True
def test_grub1_rpms():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
grub1e = Grub1EFIConfig(context_wrap(GRUB1_EFI_CFG))
grub2e = Grub2EFIConfig(context_wrap(GRUB2_EFI_CFG))
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V1))
cmdline = CmdLine(context_wrap(CMDLINE_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_NOEFI))
result = GrubConf(grub1, grub2, grub1e, grub2e, None, rpms, cmdline, sys_firmware)
assert result.kernel_initrds['grub_kernels'][0] == 'vmlinuz-2.6.32-642.el6.x86_64'
assert result.kernel_initrds['grub_initrds'][0] == 'initramfs-2.6.32-642.el6.x86_64.img'
assert result.is_kdump_iommu_enabled is True
assert result.get_grub_cmdlines() == result.get_grub_cmdlines('/vmlinuz')
assert len(result.get_grub_cmdlines()) == 3
assert result.version == 1
assert result.is_efi is False
def test_grub1_efi_rpms():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
grub1e = Grub1EFIConfig(context_wrap(GRUB1_EFI_CFG))
grub2e = Grub2EFIConfig(context_wrap(GRUB2_EFI_CFG))
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V1))
cmdline = CmdLine(context_wrap(CMDLINE_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_EFI))
result = GrubConf(grub1, grub2, grub1e, grub2e, None, rpms, cmdline, sys_firmware)
assert result.kernel_initrds['grub_kernels'][0] == 'vmlinuz-2.6.32-71.el6.x86_64'
assert result.kernel_initrds['grub_initrds'][0] == 'initramfs-2.6.32-71.el6.x86_64.img'
assert result.is_kdump_iommu_enabled is False
assert result.get_grub_cmdlines() == result.get_grub_cmdlines('/vmlinuz')
assert len(result.get_grub_cmdlines()) == 1
assert result.version == 1
assert result.is_efi is True
def test_grub2_cmdline():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
grub1e = Grub1EFIConfig(context_wrap(GRUB1_EFI_CFG))
grub2e = Grub2EFIConfig(context_wrap(GRUB2_EFI_CFG))
cmdline = CmdLine(context_wrap(CMDLINE_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_NOEFI))
result = GrubConf(grub1, grub2, grub1e, grub2e, None, None, cmdline, sys_firmware)
assert result.kernel_initrds['grub_kernels'][0] == 'vmlinuz-3.10.0-327.el7.x86_64'
assert result.kernel_initrds['grub_initrds'][0] == 'initramfs-3.10.0-327.el7.x86_64.img'
assert result.is_kdump_iommu_enabled is False
assert result.get_grub_cmdlines('/vmlinuz-3.10.0')[0].name == "'Red Hat Enterprise Linux Server (3.10.0-327.el7.x86_64) 7.2 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-3.10.0-327.el7.x86_64-advanced-4f80b3d4-90ba-4545-869c-febdecc586ce'" # noqa
assert result.get_grub_cmdlines('test') == []
assert result.get_grub_cmdlines('') == []
assert len(result.get_grub_cmdlines()) == 2
assert result.version == 2
assert result.is_efi is False
def test_grub2_efi_cmdline():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
grub1e = Grub1EFIConfig(context_wrap(GRUB1_EFI_CFG))
grub2e = Grub2EFIConfig(context_wrap(GRUB2_EFI_CFG))
cmdline = CmdLine(context_wrap(CMDLINE_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_EFI))
result = GrubConf(grub1, grub2, grub1e, grub2e, None, None, cmdline, sys_firmware)
assert result.get_grub_cmdlines() == result.get_grub_cmdlines('/vmlinuz')
assert result.get_grub_cmdlines('rescue')[0].name.startswith("'Red Hat Enterprise Linux Server (0-rescue")
assert len(result.get_grub_cmdlines()) == 4
assert result.version == 2
assert result.is_efi is True
def test_grub2_rpms():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
grub1e = Grub1EFIConfig(context_wrap(GRUB1_EFI_CFG))
grub2e = Grub2EFIConfig(context_wrap(GRUB2_EFI_CFG))
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V2))
cmdline = CmdLine(context_wrap(CMDLINE_V1))
result = GrubConf(grub1, grub2, grub1e, grub2e, None, rpms, cmdline, None)
assert result.kernel_initrds['grub_kernels'][0] == 'vmlinuz-3.10.0-327.el7.x86_64'
assert result.kernel_initrds['grub_initrds'][0] == 'initramfs-3.10.0-327.el7.x86_64.img'
assert result.is_kdump_iommu_enabled is False
assert result.get_grub_cmdlines('/vmlinuz-3.10.0')[0].name == "'Red Hat Enterprise Linux Server (3.10.0-327.el7.x86_64) 7.2 (Maipo)' --class red --class gnu-linux --class gnu --class os --unrestricted $menuentry_id_option 'gnulinux-3.10.0-327.el7.x86_64-advanced-4f80b3d4-90ba-4545-869c-febdecc586ce'" # noqa
assert result.get_grub_cmdlines('test') == []
assert result.get_grub_cmdlines('') == []
assert len(result.get_grub_cmdlines()) == 2
assert result.version == 2
assert result.is_efi is False
def test_grub2_efi_rpms():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
grub1e = Grub1EFIConfig(context_wrap(GRUB1_EFI_CFG))
grub2e = Grub2EFIConfig(context_wrap(GRUB2_EFI_CFG))
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V2))
cmdline = CmdLine(context_wrap(CMDLINE_V1))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_EFI))
result = GrubConf(grub1, grub2, grub1e, grub2e, None, rpms, cmdline, sys_firmware)
assert result.kernel_initrds['grub_initrds'][0] == 'initramfs-3.10.0-514.16.1.el7.x86_64.img'
assert result.get_grub_cmdlines() == result.get_grub_cmdlines('/vmlinuz')
assert result.get_grub_cmdlines('rescue')[0].name.startswith("'Red Hat Enterprise Linux Server (0-rescue")
assert len(result.get_grub_cmdlines()) == 4
assert result.version == 2
assert result.is_efi is True
def test_get_grub_cmdlines_none():
grub1 = Grub1Config(context_wrap(GRUB1_TEMPLATE))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
cmdline = CmdLine(context_wrap(CMDLINE_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_EFI))
with pytest.raises(Exception) as pe:
GrubConf(grub1, grub2, None, None, None, None, cmdline, sys_firmware)
assert "No valid grub configuration is found." in str(pe.value)
grub1e = Grub1EFIConfig(context_wrap(GRUB1_TEMPLATE))
grub2e = Grub2EFIConfig(context_wrap(GRUB2_TEMPLATE))
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V2))
with pytest.raises(Exception) as pe:
GrubConf(None, None, grub1e, grub2e, None, rpms, None, None)
assert "No valid grub configuration is found." in str(pe.value)
grub2e = Grub2EFIConfig(context_wrap(GRUB2_EFI_CFG))
with pytest.raises(Exception) as pe:
GrubConf(grub1, None, grub1e, grub2e, None, rpms, None, None)
assert "No valid grub configuration is found." in str(pe.value)
def test_grub2_grubenv():
grubenv = GrubEnv(context_wrap(GRUBENV_WITH_TUNED_PARAMS))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE))
grub_ble1 = BLE(context_wrap(BOOT_LOADER_ENTRIES_1))
grub_ble2 = BLE(context_wrap(BOOT_LOADER_ENTRIES_2))
grub_bles = BootLoaderEntries([grub_ble1, grub_ble2], grubenv, None)
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_NOEFI))
result = GrubConf(None, grub2, None, None, grub_bles, rpms, None, sys_firmware)
assert len(result.get_grub_cmdlines()) == 2
assert 'noapic' not in result.get_grub_cmdlines()[1]['cmdline']
assert 'transparent_hugepages' not in result.get_grub_cmdlines()[0]['cmdline']
assert result.version == 2
assert not result.is_efi
def test_grub2_grubenv_with_kernelopts():
grubenv = GrubEnv(context_wrap(GRUBENV_WITH_TUNED_PARAMS))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE_BLSCFG))
grub_ble1 = BLE(context_wrap(BOOT_LOADER_ENTRIES_1))
grub_ble2 = BLE(context_wrap(BOOT_LOADER_ENTRIES_2))
grub_ble3 = BLE(context_wrap(BOOT_LOADER_ENTRIES_3))
grub_bles = BootLoaderEntries([grub_ble1, grub_ble2, grub_ble3], grubenv, None)
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_NOEFI))
result = GrubConf(None, grub2, None, None, grub_bles, rpms, None, sys_firmware)
assert len(result.get_grub_cmdlines()) == 3
assert 'noapic' in result.get_grub_cmdlines()[2]['cmdline']
assert 'transparent_hugepages' in result.get_grub_cmdlines()[2]['cmdline']
assert result.version == 2
assert not result.is_efi
def test_grub2_with_blscfg():
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE_BLSCFG))
grub_ble1 = BLE(context_wrap(BOOT_LOADER_ENTRIES_1))
grub_ble2 = BLE(context_wrap(BOOT_LOADER_ENTRIES_2))
grub_ble3 = BLE(context_wrap(BOOT_LOADER_ENTRIES_3))
grub_bles = BootLoaderEntries([grub_ble1, grub_ble2, grub_ble3], None, None)
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_NOEFI))
result = GrubConf(None, grub2, None, None, grub_bles, rpms, None, sys_firmware)
assert len(result.get_grub_cmdlines()) == 3
assert 'noapic' in result.get_grub_cmdlines()[0]['cmdline']
assert 'transparent_hugepages' not in result.get_grub_cmdlines()[0]['cmdline']
assert result.version == 2
assert not result.is_efi
def test_grub2_boot_loader_entries():
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE_BLSCFG))
grub_ble1 = BLE(context_wrap(BOOT_LOADER_ENTRIES_1))
grub_ble2 = BLE(context_wrap(BOOT_LOADER_ENTRIES_2))
grub_bles = BootLoaderEntries([grub_ble1, grub_ble2], None, None)
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_NOEFI))
result = GrubConf(None, grub2, None, None, grub_bles, rpms, None, sys_firmware)
assert len(result.get_grub_cmdlines()) == 2
assert 'noapic' in result.get_grub_cmdlines()[0]['cmdline']
assert result.version == 2
assert not result.is_efi
def test_grub2_boot_loader_entries_with_grubenv():
grubenv = GrubEnv(context_wrap(GRUBENV_WITH_TUNED_PARAMS))
grub2 = Grub2Config(context_wrap(GRUB2_TEMPLATE_BLSCFG))
grub_ble1 = BLE(context_wrap(BOOT_LOADER_ENTRIES_1))
grub_ble3 = BLE(context_wrap(BOOT_LOADER_ENTRIES_3))
grub_bles = BootLoaderEntries([grub_ble1, grub_ble3], grubenv, None)
rpms = InstalledRpms(context_wrap(INSTALLED_RPMS_V2))
sys_firmware = LsSysFirmware(context_wrap(SYS_FIRMWARE_DIR_NOEFI))
result = GrubConf(None, grub2, None, None, grub_bles, rpms, None, sys_firmware)
assert len(result.get_grub_cmdlines()) == 2
assert 'noapic' in result.get_grub_cmdlines()[0]['cmdline']
assert 'transparent_hugepages' in result.get_grub_cmdlines()[0]['cmdline']
assert 'noapic' in result.get_grub_cmdlines()[1]['cmdline']
assert 'transparent_hugepages' in result.get_grub_cmdlines()[1]['cmdline']
assert result.version == 2
assert not result.is_efi
| 49.399031 | 655 | 0.71679 | 4,697 | 30,578 | 4.478603 | 0.078774 | 0.048108 | 0.032801 | 0.044923 | 0.915716 | 0.900171 | 0.881679 | 0.86081 | 0.831099 | 0.817266 | 0 | 0.100084 | 0.13997 | 30,578 | 618 | 656 | 49.478964 | 0.699825 | 0.002322 | 0 | 0.710383 | 0 | 0.102004 | 0.578578 | 0.240489 | 0 | 0 | 0 | 0 | 0.167577 | 1 | 0.027322 | false | 0 | 0.014572 | 0 | 0.041894 | 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 |
809f81ad42b734bc6c56c050639f3dd17faf53ee | 22,281 | py | Python | Scraping/Scraping_YouTube/youtube_driver/__init__.py | ghassen1302/Interview_Code_Demonstration | fd9e2b313d3203e79e4f40bd52f82365508126d2 | [
"Apache-2.0"
] | null | null | null | Scraping/Scraping_YouTube/youtube_driver/__init__.py | ghassen1302/Interview_Code_Demonstration | fd9e2b313d3203e79e4f40bd52f82365508126d2 | [
"Apache-2.0"
] | null | null | null | Scraping/Scraping_YouTube/youtube_driver/__init__.py | ghassen1302/Interview_Code_Demonstration | fd9e2b313d3203e79e4f40bd52f82365508126d2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
from .get_authenticated import GetAuthenticated
from .get_comments import GetComments
#from .get_images import GetImages
from abc import ABC
import googleapiclient.discovery # pip install google-api-python-client | pip install protobuf==3.12.2 | pip install --upgrade protobuf --force-reinstall
import googleapiclient.errors
from google.auth.transport.requests import Request # pip install google
import time
import sys
import json
__version__ = '1.0.0'
class Driver(ABC):
def get_event(self, user_id, verbose=False):
pass
def get_page(self, user_id, verbose=False):
pass
def get_group(self, user_id, verbose=False):
pass
def get_images(self, user_id, verbose=False):
pass
def get_user_info(self, user_id, json_parser=False, verbose=False):
pass
def get_user_info_by_pseudo(self, pseudo, json_parser=False, verbose=False):
pass
def get_publications(self, user_id, comments, json_parser=False, verbose=False):
pass
def get_comments_by_publication(self, publication_id, json_parser=False, verbose=False):
pass
def get_friends(self, user_id, verbose=False):
pass
def get_react(self, publication_id, verbose=False):
pass
def get_comment_by_key(self, key, json_parser=False, verbose=False):
pass
def get_comment_by_keys(self, keys, json_parser=False, verbose=False):
pass
class YoutubeDriver(Driver):
def get_friends(self, user_id):
pass
def get_event(self, user_id):
pass
def get_page(self, user_id):
pass
def get_group(self, user_id):
pass
def get_comment_by_key(self, key, json_parser=False, verbose=False):
'''
Uses a keyword (video name that we are searching for) and returns the messages in the videos.
'''
file_pos = 0
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
while(file_pos < file_num):
try:
request = youtube.search().list(
q=key,
part="snippet",
type="video"
)
response = request.execute()
videoId = response['items'][0]['id']['videoId'] # Get the video id.
# Get the video messages.
request2 = youtube.commentThreads().list(
part="snippet,replies",
videoId=str(videoId)
)
try:
response2 = request2.execute()
except: # The video is private.
continue
getComments = GetComments(response=response2, youtube=youtube, json_parser=json_parser, verbose=verbose) # Scrape the video messages.
if(json_parser):
getComments.get_comments()
else:
return getComments.get_comments()
break
except:
file_pos += 1
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
pass
def get_comment_by_keys(self, keys, json_parser=False, verbose=False):
'''
Uses a keyword (video name that we are searching for) and returns the messages in the videos.
'''
file_pos = 0
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
l = []
while(file_pos < file_num):
for key in keys:
try:
request = youtube.search().list(
q=key,
part="snippet",
type="video"
)
response = request.execute()
videoId = response['items'][0]['id']['videoId'] # Get the video id.
# Get the video messages.
request2 = youtube.commentThreads().list(
part="snippet,replies",
videoId=str(videoId)
)
try:
response2 = request2.execute()
except: # The video is private.
continue
getComments = GetComments(response=response2, youtube=youtube, json_parser=json_parser, verbose=verbose) # Scrape the video messages.
if(json_parser):
getComments.get_comments()
else:
l.append(getComments.get_comments())
except:
file_pos += 1
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
pass
if(not json_parser):
return l
break
def get_images(self, user_id):
pass
def get_react(self, publication_id, verbose=False):
file_pos = 0
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
while(file_pos < file_num):
try:
# Search for the channel id using the youtube username.
request = youtube.videos().list(
part="statistics",
id=publication_id
)
response = request.execute()
return response['items'][0]['statistics']['likeCount']
except:
file_pos += 1
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
pass
def get_user_info(self, user_id, json_parser=False, verbose=False):
file_pos = 0
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
while(file_pos < file_num):
try:
# Search for the channel id using the youtube username.
request = youtube.channels().list(
part="statistics",
id=user_id
)
response = request.execute()
try:
channel_id = str(response['items'][0]['id'])
except:
channel_id = ""
try:
view_count = str(response['items'][0]['statistics']['viewCount'])
except:
view_count = ""
try:
subscriber_count = str(response['items'][0]['statistics']['subscriberCount'])
except:
subscriber_count = ""
try:
video_count = str(response['items'][0]['statistics']['videoCount'])
except:
video_count = ""
request = youtube.channels().list(
part="snippet",
id=user_id
)
response = request.execute()
try:
channel_name = response['items'][0]['snippet']['title']
except:
channel_name = ""
try:
description = response['items'][0]['snippet']['description']
except:
description = ""
try:
channel_creation_date = response['items'][0]['snippet']['publishedAt']
except:
channel_creation_date = ""
try:
profile_image = response['items'][0]['snippet']['thumbnails']['default']['url']
except:
profile_image = ""
try:
country = response['items'][0]['snippet']['country']
except:
country = ""
request = youtube.channels().list(
part="topicDetails",
id=user_id
)
response = request.execute()
try:
channel_topic_categories = list(response['items'][0]['topicDetails']['topicCategories'])
except:
channel_topic_categories = []
request = youtube.channels().list(
part="brandingSettings",
id=user_id
)
response = request.execute()
try:
keywords = str(response['items'][0]['brandingSettings']['channel']['keywords'])
except:
keywords = ""
try:
featured_channels = list(response['items'][0]['brandingSettings']['channel']['featuredChannelsUrls'])
except:
featured_channels = []
try:
unsubscribed_trailer = str(response['items'][0]['brandingSettings']['channel']['unsubscribedTrailer'])
except:
unsubscribed_trailer = ""
try:
channel_banner_image = str(response['items'][0]['brandingSettings']['image']['bannerImageUrl'])
except:
channel_banner_image = ""
if (verbose):
print("channel_id: "+ channel_id)
print("view_count: "+ view_count)
print("subscriber_count: "+ subscriber_count)
print("video_count: "+ video_count)
print("channel_name: "+ channel_name)
print("description: "+ description)
print("channel_creation_date: "+ channel_creation_date)
print("profile_image: "+ profile_image)
print("country: "+ country)
print('channel_topic_categories: ' + str(channel_topic_categories))
print('keywords: ' + keywords)
print('featured_channels: ' + str(featured_channels))
print('unsubscribed_trailer: ' + unsubscribed_trailer)
print('channel_banner_image: ' + channel_banner_image)
break
except:
file_pos += 1
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
pass
data = {}
data['channel_id'] = channel_id
data['view_count'] = view_count
data['subscriber_count'] = subscriber_count
data['video_count'] = video_count
data['channel_name'] = channel_name
data['description'] = description
data['channel_creation_date'] = channel_creation_date
data['profile_image'] = profile_image
data['country'] = country
data['channel_topic_categories'] = channel_topic_categories
data['keywords'] = keywords
data['featured_channels'] = featured_channels
data['unsubscribed_trailer'] = unsubscribed_trailer
data['channel_banner_image'] = channel_banner_image
if(not json_parser):
return data
else:
with open(channel_name + '_profile_data.json', 'w') as f:
json.dump(data, f)
def get_user_info_by_pseudo(self, pseudo, json_parser=False, verbose=False):
file_pos = 0
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
while(file_pos < file_num):
try:
# Search for the channel id using the youtube username.
request = youtube.search().list(
q=pseudo,
part="snippet",
type="channel"
)
response = request.execute()
channel_id = response['items'][0]['id']['channelId']
request2 = youtube.channels().list(
part="statistics",
id=channel_id
)
response = request2.execute()
if (verbose):
print(response['items'][0])
try:
channel_id = str(response['items'][0]['id'])
except:
channel_id = ""
try:
view_count = str(response['items'][0]['statistics']['viewCount'])
except:
view_count = ""
try:
subscriber_count = str(response['items'][0]['statistics']['subscriberCount'])
except:
subscriber_count = ""
try:
video_count = str(response['items'][0]['statistics']['videoCount'])
except:
video_count = ""
request3 = youtube.channels().list(
part="snippet",
id=channel_id
)
response = request3.execute()
try:
channel_name = response['items'][0]['snippet']['title']
except:
channel_name = ""
try:
description = response['items'][0]['snippet']['description']
except:
description = ""
try:
channel_creation_date = response['items'][0]['snippet']['publishedAt']
except:
channel_creation_date = ""
try:
profile_image = response['items'][0]['snippet']['thumbnails']['default']['url']
except:
profile_image = ""
try:
country = response['items'][0]['snippet']['country']
except:
country = ""
request4 = youtube.channels().list(
part="topicDetails",
id=channel_id
)
response = request4.execute()
try:
channel_topic_categories = list(response['items'][0]['topicDetails']['topicCategories'])
except:
channel_topic_categories = []
request5 = youtube.channels().list(
part="brandingSettings",
id=channel_id
)
response = request5.execute()
try:
keywords = str(response['items'][0]['brandingSettings']['channel']['keywords'])
except:
keywords = ""
try:
featured_channels = list(response['items'][0]['brandingSettings']['channel']['featuredChannelsUrls'])
except:
featured_channels = []
try:
unsubscribed_trailer = str(response['items'][0]['brandingSettings']['channel']['unsubscribedTrailer'])
except:
unsubscribed_trailer = ""
try:
channel_banner_image = str(response['items'][0]['brandingSettings']['image']['bannerImageUrl'])
except:
channel_banner_image = ""
if (verbose):
print("channel_id: "+ channel_id)
print("view_count: "+ view_count)
print("subscriber_count: "+ subscriber_count)
print("video_count: "+ video_count)
print("channel_name: "+ channel_name)
print("description: "+ description)
print("channel_creation_date: "+ channel_creation_date)
print("profile_image: "+ profile_image)
print("country: "+ country)
print('channel_topic_categories: ' + str(channel_topic_categories))
print('keywords: ' + keywords)
print('featured_channels: ' + str(featured_channels))
print('unsubscribed_trailer: ' + unsubscribed_trailer)
print('channel_banner_image: ' + channel_banner_image)
break
except:
file_pos += 1
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
pass
data = {}
data['channel_id'] = channel_id
data['view_count'] = view_count
data['subscriber_count'] = subscriber_count
data['video_count'] = video_count
data['channel_name'] = channel_name
data['description'] = description
data['channel_creation_date'] = channel_creation_date
data['profile_image'] = profile_image
data['country'] = country
data['channel_topic_categories'] = channel_topic_categories
data['keywords'] = keywords
data['featured_channels'] = featured_channels
data['unsubscribed_trailer'] = unsubscribed_trailer
data['channel_banner_image'] = channel_banner_image
if(not json_parser):
return data
else:
with open(channel_name + '_profile_data.json', 'w') as f:
json.dump(data, f)
def get_publications(self, user_id, comments, json_parser=False, verbose=False):
'''
Uses the Youtube username and returns the messages in the videos of the user.
'''
file_pos = 0
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
while(file_pos < file_num):
try:
request = youtube.search().list(
q=user_id,
part="snippet",
type="channel"
)
response = request.execute()
channel_id = response['items'][0]['id']['channelId'] # Get the channel id.
# Get the videos in the channel.
request = youtube.commentThreads().list(
part="snippet,replies",
allThreadsRelatedToChannelId=channel_id,
maxResults=100
)
response = request.execute()
getComments = GetComments(response=response, youtube=youtube, json_parser=json_parser, take_comments=comments, verbose=verbose) # Scrape the comments in the video.
if(json_parser):
getComments.get_comments()
else:
return getComments.get_comments()
break
except:
file_pos += 1
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
pass
def get_comments_by_publication(self, publication_id, json_parser=False, verbose=False):
'''
Uses a keyword (video name that we are searching for) and returns the messages in the videos.
'''
file_pos = 0
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
while(file_pos < file_num):
try:
videoId = str(publication_id) # Get the video id.
# Get the video messages.
request2 = youtube.commentThreads().list(
part="snippet,replies",
videoId=str(videoId)
)
try:
response2 = request2.execute()
except: # The video is private.
continue
getComments = GetComments(response=response2, youtube=youtube, json_parser=json_parser, verbose=verbose) # Scrape the video messages.
if(json_parser):
getComments.get_comments()
else:
return getComments.get_comments()
break
except:
file_pos += 1
getAuthenticated = GetAuthenticated(file_pos) # Read authentification informations from code_secret_file
youtube, file_num = getAuthenticated.get_authenticated()
pass
| 38.349398 | 185 | 0.504152 | 1,866 | 22,281 | 5.810289 | 0.092712 | 0.022597 | 0.043903 | 0.05036 | 0.905645 | 0.899004 | 0.85713 | 0.846707 | 0.826416 | 0.818115 | 0 | 0.005993 | 0.408375 | 22,281 | 580 | 186 | 38.415517 | 0.816492 | 0.084915 | 0 | 0.859729 | 0 | 0 | 0.098984 | 0.013224 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054299 | false | 0.054299 | 0.020362 | 0 | 0.095023 | 0.065611 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
80b728a8deccf2a23c02197e35a0f7ea22282439 | 194 | py | Python | filebrowser/tests/__init__.py | klueska/django-filebrowser | 71cd35e876529d526a5b31380609b93209c7a0e4 | [
"BSD-3-Clause"
] | 6 | 2016-03-10T19:38:17.000Z | 2021-02-23T09:34:59.000Z | filebrowser/tests/__init__.py | klueska/django-filebrowser | 71cd35e876529d526a5b31380609b93209c7a0e4 | [
"BSD-3-Clause"
] | 602 | 2015-01-05T16:30:08.000Z | 2021-02-02T21:44:38.000Z | filebrowser/tests/__init__.py | klueska/django-filebrowser | 71cd35e876529d526a5b31380609b93209c7a0e4 | [
"BSD-3-Clause"
] | 18 | 2015-02-12T15:50:17.000Z | 2021-04-27T16:40:36.000Z | from filebrowser.tests.settings import SettingsTests
from filebrowser.tests.base import FileObjectPathTests, FileObjectVersionTests, FileObjectUnicodeTests
from filebrowser.tests.sites import *
| 48.5 | 102 | 0.881443 | 19 | 194 | 9 | 0.578947 | 0.263158 | 0.350877 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072165 | 194 | 3 | 103 | 64.666667 | 0.95 | 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 |
80d89eb7e6e0523fd3789794b7ff46300cbe177c | 193 | py | Python | django_flickr_gallery/admin/__init__.py | ezyatev/django-flickr-gallery | a41622f944671de702639370fffeed04fdaa8d8a | [
"BSD-3-Clause"
] | 13 | 2015-04-17T12:33:53.000Z | 2017-10-08T21:47:40.000Z | django_flickr_gallery/admin/__init__.py | ezyatev/django-flickr-gallery | a41622f944671de702639370fffeed04fdaa8d8a | [
"BSD-3-Clause"
] | 10 | 2015-10-30T11:43:55.000Z | 2018-03-30T01:35:25.000Z | django_flickr_gallery/admin/__init__.py | ezyatev/django-flickr-gallery | a41622f944671de702639370fffeed04fdaa8d8a | [
"BSD-3-Clause"
] | 7 | 2015-11-22T12:26:06.000Z | 2018-09-16T12:51:13.000Z | from django.contrib import admin
from django_flickr_gallery.admin.photoset import PhotosetAdmin
from django_flickr_gallery.models import Photoset
admin.site.register(Photoset, PhotosetAdmin)
| 27.571429 | 62 | 0.870466 | 25 | 193 | 6.56 | 0.48 | 0.182927 | 0.195122 | 0.280488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.082902 | 193 | 6 | 63 | 32.166667 | 0.926554 | 0 | 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 |
80f61b1e1dbc67c6e420353a2160d78cad17fcab | 13,562 | py | Python | präsentation-verfahren-zur-numerischen-integration/manim.py | lwskdesign/mathe-lk | 280b47b078fd34395b32a08e599ef5c302dc60e5 | [
"MIT"
] | null | null | null | präsentation-verfahren-zur-numerischen-integration/manim.py | lwskdesign/mathe-lk | 280b47b078fd34395b32a08e599ef5c302dc60e5 | [
"MIT"
] | null | null | null | präsentation-verfahren-zur-numerischen-integration/manim.py | lwskdesign/mathe-lk | 280b47b078fd34395b32a08e599ef5c302dc60e5 | [
"MIT"
] | null | null | null | from manim import *
import numpy as np
import scipy.stats as stats
class Mittelpunktsregel(GraphScene):
CONFIG={
"x_min": -1,
"x_max": 10,
"x_axis_width": 9,
"y_min": -1,
"y_max": 10,
"y_axis_height": 6
}
def construct(self):
title=TextMobject("Mittelpunktsregel").scale(1.5)
subtitle=TextMobject("Verfahren zur numerischen Integration I")
subtitle.next_to(title, DOWN)
subtitle_alt=TextMobject("Rechtecke unter dem Graphen von $f$")
subtitle_alt.next_to(title, DOWN)
self.play(Write(title), Write(subtitle))
self.wait(2.5)
self.play(Transform(subtitle,subtitle_alt))
self.wait(2.5)
self.play(FadeOut(title), FadeOut(subtitle))
self.setup_axes(animate=True) #Koordinatensystem anzeigen
def func(x):
return 0.1 * (x + 3 - 5) * (x - 3 - 5) * (x - 5) + 5 #Darzustellende Funktion
graph = self.get_graph(func, x_min=-1, x_max=10) #Graphen erstellen
graph.set_color(RED)
graph_label = self.get_graph_label(graph, label = "f")
self.play(ShowCreation(graph), run_time=3) #Graphen anzeigen
self.play(Write(graph_label))
self.wait()
a_grenze = 3
a_grenze_line = self.get_vertical_line_to_graph(a_grenze, graph, line_class=DashedLine, color=BLUE)
a_grenze_label = TextMobject("$a$", ).scale(0.75)
a_grenze_label.next_to(a_grenze_line,DOWN)
self.play(ShowCreation(a_grenze_line), Write(a_grenze_label))
self.wait(0.5)
b_grenze = 6
b_grenze_line = self.get_vertical_line_to_graph(b_grenze, graph, line_class=DashedLine, color=BLUE)
b_grenze_label = TextMobject("$b$").scale(0.75)
b_grenze_label.next_to(b_grenze_line,DOWN)
self.play(ShowCreation(b_grenze_line), Write(b_grenze_label))
self.wait(0.5)
c_mitte = (a_grenze+b_grenze)/2
c_mitte_line = self.get_vertical_line_to_graph(c_mitte, graph, line_class=DashedLine, color=BLUE)
c_mitte_label = MathTex(r"c=\frac{a+b}{2}").scale(0.5)
c_mitte_label.next_to(c_mitte_line,DOWN)
c_mitte_label2 = MathTex(r"f(c)= f\left( \frac{a+b}{2} \right)").scale(0.5)
c_mitte_label2.next_to(c_mitte_line,UP)
self.play(ShowCreation(c_mitte_line), Write(c_mitte_label), Write(c_mitte_label2))
self.wait(2)
midInt = self.get_riemann_rectangles(
graph,
x_min=a_grenze,
x_max=b_grenze,
dx=b_grenze-a_grenze,
input_sample_type="center",
fill_opacity=0.5,
stroke_width=0,
)
self.play(FadeIn(midInt))
self.wait(5)
class Sehentrapezregel(GraphScene):
CONFIG={
"x_min": -1,
"x_max": 10,
"x_axis_width": 9,
"y_min": -1,
"y_max": 10,
"y_axis_height": 6,
"default_riemann_start_color": GREEN,
"default_riemann_end_color": GREEN,
}
def construct(self):
title=TextMobject("Sehnentrapezregel").scale(1.5)
subtitle=TextMobject("Verfahren zur numerischen Integration II")
subtitle.next_to(title, DOWN)
subtitle_alt=TextMobject("Trapeze unter dem Graphen von $f$")
subtitle_alt.next_to(title, DOWN)
self.play(Write(title), Write(subtitle))
self.wait(2.5)
self.play(Transform(subtitle,subtitle_alt))
self.wait(2.5)
self.play(FadeOut(title), FadeOut(subtitle))
self.setup_axes(animate=True) #Koordinatensystem anzeigen
def func(x):
return 0.1 * (x + 3 - 5) * (x - 3 - 5) * (x - 5) + 5 #Darzustellende Funktion
graph = self.get_graph(func, x_min=-1, x_max=10) #Graphen erstellen
graph.set_color(RED)
graph_label = self.get_graph_label(graph, label = "f")
self.play(ShowCreation(graph), run_time=3) #Graphen anzeigen
self.play(Write(graph_label))
self.wait()
a_grenze = 3
a_grenze_line = self.get_vertical_line_to_graph(a_grenze, graph, line_class=DashedLine, color=BLUE)
a_grenze_label = TextMobject("$a$", ).scale(0.75)
a_grenze_label.next_to(a_grenze_line,DOWN)
self.play(ShowCreation(a_grenze_line), Write(a_grenze_label))
self.wait(0.5)
b_grenze = 6
b_grenze_line = self.get_vertical_line_to_graph(b_grenze, graph, line_class=DashedLine, color=BLUE)
b_grenze_label = TextMobject("$b$").scale(0.75)
b_grenze_label.next_to(b_grenze_line,DOWN)
self.play(ShowCreation(b_grenze_line), Write(b_grenze_label))
self.wait(2)
a_punkt = ValueTracker(a_grenze) #Punkt in (a|f(a)) zeichnen
a_punkt_wert = a_punkt.get_value()
a_punkt_geometrie = Dot().move_to(self.coords_to_point(a_punkt_wert, func(a_punkt_wert)))
b_punkt = ValueTracker(b_grenze) #Punkt in (b|f(b)) zeichnen
b_punkt_wert = b_punkt.get_value()
b_punkt_geometrie = Dot().move_to(self.coords_to_point(b_punkt_wert, func(b_punkt_wert)))
self.play(FadeIn(a_punkt_geometrie), FadeIn(b_punkt_geometrie))
self.wait(2)
x = [a_grenze, b_grenze]
y = [func(x[0]), func(x[1])]
lineare_regression = np.poly1d(np.polyfit(x, y, 1))
trapLine = self.get_graph(lineare_regression, x_min=1, x_max=8, color=GREEN)
self.play(FadeIn(trapLine))
self.wait(2)
trapInt = self.get_riemann_rectangles(
trapLine,
x_min=3,
x_max=6,
dx=0.001,
input_sample_type="center",
fill_opacity=0.5,
stroke_width=0,
)
self.play(FadeIn(trapInt))
self.wait(5)
class Tangententrapezregel(GraphScene):
CONFIG={
"x_min": -1,
"x_max": 10,
"x_axis_width": 9,
"y_min": -1,
"y_max": 10,
"y_axis_height": 6,
"camera_config":{"background_color":"#475147"},
"default_riemann_start_color": GREEN,
"default_riemann_end_color": GREEN,
}
def construct(self):
title=TextMobject("Tangententrapezregel").scale(1.5)
subtitle=TextMobject("Verfahren zur numerischen Integration III")
subtitle.next_to(title, DOWN)
subtitle_alt=TextMobject("Trapetze unter einer Tangente durch $(c|f(c))$")
subtitle_alt.next_to(title, DOWN)
self.play(Write(title), Write(subtitle))
self.wait(2.5)
self.play(Transform(subtitle,subtitle_alt))
self.wait(2.5)
self.play(FadeOut(title), FadeOut(subtitle))
self.setup_axes(animate=True) #Koordinatensystem anzeigen
def func(x):
return 0.1 * (x + 3 - 5) * (x - 3 - 5) * (x - 5) + 5 #Darzustellende Funktion
graph = self.get_graph(func, x_min=-1, x_max=10) #Graphen erstellen
graph.set_color(RED)
graph_label = self.get_graph_label(graph, label = "f")
self.play(ShowCreation(graph), run_time=3) #Graphen anzeigen
self.play(Write(graph_label))
self.wait()
a_grenze = 3
a_grenze_line = self.get_vertical_line_to_graph(a_grenze, graph, line_class=DashedLine, color=BLUE)
a_grenze_label = TextMobject("$a$", ).scale(0.75)
a_grenze_label.next_to(a_grenze_line,DOWN)
self.play(ShowCreation(a_grenze_line), Write(a_grenze_label))
self.wait(0.5)
b_grenze = 6
b_grenze_line = self.get_vertical_line_to_graph(b_grenze, graph, line_class=DashedLine, color=BLUE)
b_grenze_label = TextMobject("$b$").scale(0.75)
b_grenze_label.next_to(b_grenze_line,DOWN)
self.play(ShowCreation(b_grenze_line), Write(b_grenze_label))
self.wait(0.5)
c_mitte = (a_grenze+b_grenze)/2
c_mitte_line = self.get_vertical_line_to_graph(c_mitte, graph, line_class=DashedLine, color=BLUE)
c_mitte_label = MathTex(r"c=\frac{a+b}{2}").scale(0.5)
c_mitte_label.next_to(c_mitte_line,DOWN)
c_mitte_label2 = MathTex(r"f(c)= f\left( \frac{a+b}{2} \right)").scale(0.5)
c_mitte_label2.next_to(c_mitte_line,UP).shift(0.2 * UP)
self.play(ShowCreation(c_mitte_line), Write(c_mitte_label), Write(c_mitte_label2))
self.wait(0.5)
c_punkt = ValueTracker(c_mitte) #Punkt in (c|f(c)) zeichnen
c_punkt_wert = c_punkt.get_value()
c_punkt_geometrie = Dot().move_to(self.coords_to_point(c_punkt_wert, func(c_punkt_wert)))
self.play(FadeIn(c_punkt_geometrie))
self.wait(2)
trapLine = self.get_graph(lambda x: -0.825*x+9.15, x_min=1, x_max=8, color=GREEN)
self.play(FadeIn(trapLine))
self.wait(2)
trapInt = self.get_riemann_rectangles(
trapLine,
x_min=3,
x_max=6,
dx=0.001,
input_sample_type="center",
fill_opacity=0.5,
stroke_width=0,
)
self.play(FadeIn(trapInt))
self.wait(5)
class KeplerscheFassregel(GraphScene):
CONFIG={
"x_min": -1,
"x_max": 10,
"x_axis_width": 9,
"y_min": -1,
"y_max": 10,
"y_axis_height": 6,
"camera_config":{"background_color":"#475147"},
"default_riemann_start_color": GREEN,
"default_riemann_end_color": GREEN,
}
def construct(self):
title=TextMobject("Simpsonregel/Kepler'sche Fassregel").scale(1.5)
subtitle=TextMobject("Verfahren zur numerischen Integration IV")
subtitle.next_to(title, DOWN)
subtitle_alt=TextMobject("Parabel durch $(a|f(a))$, $(c|f(c))$ und $(b|f(b))$")
subtitle_alt.next_to(title, DOWN)
self.play(Write(title), Write(subtitle))
self.wait(2.5)
self.play(Transform(subtitle,subtitle_alt))
self.wait(2.5)
self.play(FadeOut(title), FadeOut(subtitle))
self.setup_axes(animate=True) #Koordinatensystem anzeigen
def func(x):
return 0.1 * (x + 3 - 5) * (x - 3 - 5) * (x - 5) + 5 #Darzustellende Funktion
graph = self.get_graph(func, x_min=-1, x_max=10) #Graphen erstellen
graph.set_color(RED)
graph_label = self.get_graph_label(graph, label = "f")
self.play(ShowCreation(graph), run_time=3) #Graphen anzeigen
self.play(Write(graph_label))
self.wait()
a_grenze = 3
a_grenze_line = self.get_vertical_line_to_graph(a_grenze, graph, line_class=DashedLine, color=BLUE)
a_grenze_label = TextMobject("$a$", ).scale(0.75)
a_grenze_label.next_to(a_grenze_line,DOWN)
self.play(ShowCreation(a_grenze_line), Write(a_grenze_label))
self.wait(0.5)
b_grenze = 6
b_grenze_line = self.get_vertical_line_to_graph(b_grenze, graph, line_class=DashedLine, color=BLUE)
b_grenze_label = TextMobject("$b$").scale(0.75)
b_grenze_label.next_to(b_grenze_line,DOWN)
self.play(ShowCreation(b_grenze_line), Write(b_grenze_label))
self.wait(0.5)
c_mitte = (a_grenze+b_grenze)/2
c_mitte_line = self.get_vertical_line_to_graph(c_mitte, graph, line_class=DashedLine, color=BLUE)
c_mitte_label = MathTex(r"c=\frac{a+b}{2}").scale(0.5)
c_mitte_label.next_to(c_mitte_line,DOWN)
c_mitte_label2 = MathTex(r"f(c)= f\left( \frac{a+b}{2} \right)").scale(0.5)
c_mitte_label2.next_to(c_mitte_line,UP)
self.play(ShowCreation(c_mitte_line), Write(c_mitte_label), Write(c_mitte_label2))
self.wait(0.5)
a_punkt = ValueTracker(a_grenze) #Punkt in (a|f(a)) zeichnen
a_punkt_wert = a_punkt.get_value()
a_punkt_geometrie = Dot().move_to(self.coords_to_point(a_punkt_wert, func(a_punkt_wert)))
b_punkt = ValueTracker(b_grenze) #Punkt in (b|f(b)) zeichnen
b_punkt_wert = b_punkt.get_value()
b_punkt_geometrie = Dot().move_to(self.coords_to_point(b_punkt_wert, func(b_punkt_wert)))
c_punkt = ValueTracker(c_mitte) #Punkt in (c|f(c)) zeichnen
c_punkt_wert = c_punkt.get_value()
c_punkt_geometrie = Dot().move_to(self.coords_to_point(c_punkt_wert, func(c_punkt_wert)))
self.play(FadeIn(a_punkt_geometrie), FadeIn(b_punkt_geometrie), FadeIn(c_punkt_geometrie))
self.wait(2)
x = [a_grenze, c_mitte, b_grenze]
y = [func(x[0]), func(x[1]), func(x[2])]
quadratische_regression = np.poly1d(np.polyfit(x, y, 2))
parabel = self.get_graph(quadratische_regression, x_min=1, x_max=8, color=GREEN)
self.play(FadeIn(parabel))
self.wait(2)
trapInt = self.get_riemann_rectangles(
parabel,
x_min=3,
x_max=6,
dx=0.001,
input_sample_type="center",
fill_opacity=0.5,
stroke_width=0,
)
self.play(FadeIn(trapInt))
self.wait(5)
| 39.539359 | 109 | 0.598658 | 1,851 | 13,562 | 4.103728 | 0.082118 | 0.043181 | 0.018957 | 0.008689 | 0.929042 | 0.924829 | 0.924829 | 0.913112 | 0.87783 | 0.840969 | 0 | 0.026839 | 0.280195 | 13,562 | 342 | 110 | 39.654971 | 0.75128 | 0.035688 | 0 | 0.826241 | 0 | 0.003546 | 0.078355 | 0.013787 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028369 | false | 0 | 0.010638 | 0.014184 | 0.08156 | 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 |
0395afa492c73a2f30afb50e9fe824231315a3f7 | 8,797 | py | Python | Common/cdr_origin_destination.py | SpatialDataCommons/CDR-analysis-tools-hadoop | 8e02b72cbcfe031481659d75eb224b52437fae8e | [
"MIT"
] | 6 | 2020-05-30T15:32:29.000Z | 2021-08-17T09:23:45.000Z | Common/cdr_origin_destination.py | SpatialDataCommons/CDR-analysis-tools-hadoop | 8e02b72cbcfe031481659d75eb224b52437fae8e | [
"MIT"
] | 1 | 2020-12-15T14:18:54.000Z | 2020-12-22T05:54:24.000Z | Common/cdr_origin_destination.py | SpatialDataCommons/CDR-analysis-tools-hadoop | 8e02b72cbcfe031481659d75eb224b52437fae8e | [
"MIT"
] | 3 | 2020-05-26T14:08:21.000Z | 2022-01-21T09:59:54.000Z | from Common.hive_connection import HiveConnection
import time
from Common.helper import format_two_point_time, sql_to_string
class OriginDestination:
def __init__(self, config):
self.config = config
self.hc = HiveConnection()
def calculate_od(self):
self.cdr_by_uid()
self.create_od()
self.create_od_detail()
self.create_od_sum()
def cdr_by_uid(self):
provider_prefix = self.config.provider_prefix
od_admin_unit = self.config.od_admin_unit
cursor = self.hc.cursor
print('########## CREATE CDR BY UID TABLE ##########')
timer = time.time()
print('Checking and dropping {provider_prefix}_la_cdr_all_with_ant_zone_by_uid table if existing.'
.format(provider_prefix=provider_prefix))
cursor.execute('DROP TABLE IF EXISTS {provider_prefix}_la_cdr_all_with_ant_zone_by_uid'
.format(provider_prefix=provider_prefix))
print('Checked and dropped {provider_prefix}_la_cdr_all_with_ant_zone_by_uid table if existing. '
'Elapsed time: {time} seconds'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
timer = time.time()
print('Creating {provider_prefix}_la_cdr_all_with_ant_zone_by_uid table'
.format(provider_prefix=provider_prefix))
raw_sql = sql_to_string('origin_destination/create_la_cdr_all_with_ant_zone_by_uid.sql')
query = raw_sql.format(provider_prefix=provider_prefix)
cursor.execute(query)
print('Created {provider_prefix}_la_cdr_all_with_ant_zone_by_uid table. Elapsed time: {time} seconds'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
timer = time.time()
raw_sql = sql_to_string('origin_destination/insert_la_cdr_all_with_ant_zone_by_uid.sql')
print('Inserting into {provider_prefix}_la_cdr_all_with_ant_zone_by_uid table'
.format(provider_prefix=provider_prefix))
query = raw_sql.format(provider_prefix=provider_prefix, target_admin=od_admin_unit, od_date=self.config.od_date)
cursor.execute(query)
print('Inserted into {provider_prefix}_la_cdr_all_with_ant_zone_by_uid table. Elapsed time: {time} seconds'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
print('########## FINISHED CREATING CDR BY UID TABLE ##########')
def create_od(self):
provider_prefix = self.config.provider_prefix
od_admin_unit = self.config.od_admin_unit
cursor = self.hc.cursor
print('########## CREATE OD TABLE ##########')
timer = time.time()
print('Checking and dropping {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od table if existing.'
.format(provider_prefix=provider_prefix))
cursor.execute('DROP TABLE IF EXISTS {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od'
.format(provider_prefix=provider_prefix))
print('Checked and dropped {provider_prefix}_la_cdr_all_with_ant_zone_by_uid table if existing.'
' Elapsed time: {time} seconds'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
print('Creating {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od table'.format(
provider_prefix=provider_prefix))
timer = time.time()
raw_sql = sql_to_string('origin_destination/create_la_cdr_all_with_ant_zone_by_uid_od.sql')
query = raw_sql.format(provider_prefix=provider_prefix)
cursor.execute(query)
print('Created {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od table. Elapsed time: {time}'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
timer = time.time()
print('Inserting into {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od table'
.format(provider_prefix=provider_prefix))
raw_sql = sql_to_string('origin_destination/insert_la_cdr_all_with_ant_zone_by_uid_od.sql')
query = raw_sql.format(provider_prefix=provider_prefix, target_unit=od_admin_unit)
cursor.execute(query)
print('Inserted into {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od table. Elapsed time: {time} seconds'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
print('########## FINISHED CREATING OD TABLE ##########')
def create_od_detail(self):
provider_prefix = self.config.provider_prefix
cursor = self.hc.cursor
print('########## CREATING OD DETAIL TABLE ##########')
timer = time.time()
print('Checking and dropping {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_detail table if existing.'
.format(provider_prefix=provider_prefix))
cursor.execute('DROP TABLE IF EXISTS {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_detail '
.format(provider_prefix=provider_prefix))
print('Checked and dropped {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_detail table if existing. '
'Elapsed time: {time} seconds'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
print('Creating {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_detail table'.format(
provider_prefix=provider_prefix))
raw_sql = sql_to_string('origin_destination/create_la_cdr_all_with_ant_zone_by_uid_od_detail.sql')
query = raw_sql.format(provider_prefix=provider_prefix)
cursor.execute(query)
print('Created {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_detail table'.format(
provider_prefix=provider_prefix))
timer = time.time()
print('Inserting into {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_detail table'.format(
provider_prefix=provider_prefix))
raw_sql = sql_to_string('origin_destination/insert_la_cdr_all_with_ant_zone_by_uid_od_detail.sql')
query = raw_sql.format(provider_prefix=provider_prefix)
cursor.execute(query)
print('Inserted into {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_detail table. '
'Elapsed time: {time} seconds'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
print('########## CREATING OD DETAIL TABLE ##########')
def create_od_sum(self):
provider_prefix = self.config.provider_prefix
cursor = self.hc.cursor
print('########## CREATING OD SUM TABLE ##########')
timer = time.time()
print('Checking and dropping {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_sum table if existing.'
.format(provider_prefix=provider_prefix))
cursor.execute('DROP TABLE IF EXISTS {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_sum '
.format(provider_prefix=provider_prefix))
print('Checked and dropped {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_sum table if existing. '
'Elapsed time: {time} seconds'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
print('Creating {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_sum table'.format(
provider_prefix=provider_prefix))
raw_sql = sql_to_string('origin_destination/create_la_cdr_all_with_ant_zone_by_uid_od_sum.sql')
query = raw_sql.format(provider_prefix=provider_prefix)
cursor.execute(query)
print('Created {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_sum table'.format(
provider_prefix=provider_prefix))
timer = time.time()
print('Inserting into {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_sum table'.format(
provider_prefix=provider_prefix))
raw_sql = sql_to_string('origin_destination/insert_la_cdr_all_with_ant_zone_by_uid_od_sum.sql')
query = raw_sql.format(provider_prefix=provider_prefix)
cursor.execute(query)
print('Inserted into {provider_prefix}_la_cdr_all_with_ant_zone_by_uid_od_sum table. '
'Elapsed time: {time} seconds'
.format(provider_prefix=provider_prefix, time=format_two_point_time(timer, time.time())))
raw_sql = sql_to_string('origin_destination/od_to_csv.sql')
query = raw_sql.format(provider_prefix=provider_prefix)
cursor.execute(query)
print('OD Result is stored in /tmp/hive/od_result')
print('########## FINISHED CREATING OD SUM TABLE ##########')
| 58.258278 | 120 | 0.706946 | 1,189 | 8,797 | 4.758621 | 0.061396 | 0.272181 | 0.130788 | 0.183104 | 0.917815 | 0.914457 | 0.914457 | 0.914457 | 0.914457 | 0.903853 | 0 | 0 | 0.193816 | 8,797 | 150 | 121 | 58.646667 | 0.7978 | 0 | 0 | 0.552239 | 0 | 0 | 0.393202 | 0.235194 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044776 | false | 0 | 0.022388 | 0 | 0.074627 | 0.246269 | 0 | 0 | 0 | null | 1 | 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 | 8 |
20e20a87db9ee763da8a6bf469bc17fd4a5565b8 | 18,243 | py | Python | tests/dhcpv4/kea_only/subnets_cmds/test_network_cmds.py | isc-projects/forge | dfec8b41003d6b5a229f69ee93616e0e5cc6d71b | [
"0BSD"
] | 22 | 2015-02-27T11:51:05.000Z | 2022-02-28T12:39:29.000Z | tests/dhcpv4/kea_only/subnets_cmds/test_network_cmds.py | isc-projects/forge | dfec8b41003d6b5a229f69ee93616e0e5cc6d71b | [
"0BSD"
] | 16 | 2018-10-30T15:00:12.000Z | 2019-01-11T17:55:13.000Z | tests/dhcpv4/kea_only/subnets_cmds/test_network_cmds.py | isc-projects/forge | dfec8b41003d6b5a229f69ee93616e0e5cc6d71b | [
"0BSD"
] | 11 | 2015-02-27T11:51:36.000Z | 2021-03-30T08:33:54.000Z | """Kea Subnet manipulation commands"""
# pylint: disable=invalid-name,line-too-long
import pytest
import srv_control
import srv_msg
import misc
@pytest.mark.v4
@pytest.mark.kea_only
@pytest.mark.controlchannel
@pytest.mark.hook
@pytest.mark.network_cmds
def test_hook_v4_network_cmds_list():
misc.test_setup()
srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.1-192.168.50.1')
srv_control.config_srv_another_subnet_no_interface('192.168.51.0/24',
'192.168.51.1-192.168.51.1')
srv_control.config_srv_another_subnet_no_interface('192.168.52.0/24',
'192.168.52.1-192.168.52.1')
srv_control.config_srv_another_subnet_no_interface('192.168.53.0/24',
'192.168.53.1-192.168.53.1')
srv_control.config_srv('time-servers', 0, '199.199.199.10')
srv_control.config_srv('time-servers', 2, '199.199.199.100')
srv_control.config_srv('time-servers', 3, '199.199.199.200')
# first shared subnet
srv_control.shared_subnet('192.168.50.0/24', 0)
srv_control.shared_subnet('192.168.51.0/24', 0)
srv_control.set_conf_parameter_shared_subnet('name', '"name-abc"', 0)
srv_control.set_conf_parameter_shared_subnet('interface', '"$(SERVER_IFACE)"', 0)
# second shared-subnet
srv_control.shared_subnet('192.168.52.0/24', 1)
srv_control.shared_subnet('192.168.53.0/24', 1)
srv_control.set_conf_parameter_shared_subnet('name', '"name-xyz"', 1)
srv_control.set_conf_parameter_shared_subnet('relay', '{"ip-address":"$(GIADDR4)"}', 1)
srv_control.add_hooks('libdhcp_subnet_cmds.so')
srv_control.open_control_channel()
srv_control.build_and_send_config_files()
srv_control.start_srv('DHCP', 'started')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-list","arguments":{}}')
@pytest.mark.v4
@pytest.mark.kea_only
@pytest.mark.controlchannel
@pytest.mark.hook
@pytest.mark.network_cmds
def test_hook_v4_network_cmds_get_by_name():
misc.test_setup()
srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.1-192.168.50.1')
srv_control.config_srv_another_subnet_no_interface('192.168.51.0/24',
'192.168.51.1-192.168.51.1')
srv_control.config_srv_another_subnet_no_interface('192.168.52.0/24',
'192.168.52.1-192.168.52.1')
srv_control.config_srv_another_subnet_no_interface('192.168.53.0/24',
'192.168.53.1-192.168.53.1')
srv_control.config_srv('time-servers', 0, '199.199.199.10')
srv_control.config_srv('time-servers', 2, '199.199.199.100')
srv_control.config_srv('time-servers', 3, '199.199.199.200')
srv_control.add_hooks('libdhcp_subnet_cmds.so')
# first shared subnet
srv_control.shared_subnet('192.168.50.0/24', 0)
srv_control.shared_subnet('192.168.51.0/24', 0)
srv_control.set_conf_parameter_shared_subnet('name', '"name-abc"', 0)
srv_control.set_conf_parameter_shared_subnet('interface', '"$(SERVER_IFACE)"', 0)
# second shared-subnet
srv_control.shared_subnet('192.168.52.0/24', 1)
srv_control.shared_subnet('192.168.53.0/24', 1)
srv_control.set_conf_parameter_shared_subnet('name', '"name-xyz"', 1)
srv_control.set_conf_parameter_shared_subnet('relay', '{"ip-address":"$(GIADDR4)"}', 1)
srv_control.open_control_channel()
srv_control.build_and_send_config_files()
srv_control.start_srv('DHCP', 'started')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-get","arguments":{"name":"name-xyz"}}')
@pytest.mark.v4
@pytest.mark.kea_only
@pytest.mark.controlchannel
@pytest.mark.hook
@pytest.mark.network_cmds
def test_hook_v4_network_cmds_add():
misc.test_setup()
srv_control.config_srv_subnet('$(EMPTY)', '$(EMPTY)')
srv_control.config_srv_opt('domain-name-servers', '199.199.199.1,100.100.100.1')
srv_control.open_control_channel()
srv_control.add_hooks('libdhcp_subnet_cmds.so')
srv_control.build_and_send_config_files()
srv_control.start_srv('DHCP', 'started')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_dont_wait_for_message()
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-list","arguments":{}}', exp_result=3)
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-add","arguments":{"shared-networks": [{"name": "name-xyz","rebind-timer": 100,"renew-timer": 100,"valid-lifetime": 400,"subnet4": [{"interface": "$(SERVER_IFACE)", "pools": [{"pool": "192.168.50.1/32"}],"rebind-timer": 2000,"renew-timer": 1000,"subnet": "192.168.50.0/24","valid-lifetime": 4000}]}]}}')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-get","arguments":{"name": "name-xyz"}}')
srv_msg.forge_sleep(3, 'seconds')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_requests_option(6)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', 'OFFER')
@pytest.mark.v4
@pytest.mark.kea_only
@pytest.mark.controlchannel
@pytest.mark.hook
@pytest.mark.network_cmds
def test_hook_v4_network_cmds_add_conflict():
misc.test_setup()
srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.1-192.168.50.1')
srv_control.config_srv_another_subnet_no_interface('192.168.51.0/24',
'192.168.51.1-192.168.51.1')
srv_control.config_srv_another_subnet_no_interface('192.168.52.0/24',
'192.168.52.1-192.168.52.1')
srv_control.config_srv_another_subnet_no_interface('192.168.53.0/24',
'192.168.53.1-192.168.53.1')
srv_control.config_srv('time-servers', 0, '199.199.199.10')
srv_control.config_srv('time-servers', 2, '199.199.199.100')
srv_control.config_srv('time-servers', 3, '199.199.199.200')
srv_control.add_hooks('libdhcp_subnet_cmds.so')
# first shared subnet
srv_control.shared_subnet('192.168.50.0/24', 0)
srv_control.shared_subnet('192.168.51.0/24', 0)
srv_control.set_conf_parameter_shared_subnet('name', '"name-abc"', 0)
srv_control.set_conf_parameter_shared_subnet('interface', '"$(SERVER_IFACE)"', 0)
# second shared-subnet
srv_control.shared_subnet('192.168.52.0/24', 1)
srv_control.shared_subnet('192.168.53.0/24', 1)
srv_control.set_conf_parameter_shared_subnet('name', '"name-xyz"', 1)
srv_control.set_conf_parameter_shared_subnet('relay', '{"ip-address":"$(GIADDR4)"}', 1)
srv_control.open_control_channel()
srv_control.build_and_send_config_files()
srv_control.start_srv('DHCP', 'started')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-list","arguments":{}}')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-add","arguments":{"shared-networks": [{"match-client-id": true,"name": "name-xyz","option-data": [],"rebind-timer": 0,"relay": {"ip-address": "0.0.0.0"},"renew-timer": 0,"reservation-mode": "all","subnet4": [{"4o6-interface": "","4o6-interface-id": "","4o6-subnet": "","boot-file-name": "","id": 3,"match-client-id": true,"next-server": "0.0.0.0","option-data": [{"always-send": false,"code": 4,"csv-format": false,"data": "C7C7C764","name": "time-servers","space": "dhcp4"}],"pools": [{"option-data": [],"pool": "192.168.52.1/32"}],"rebind-timer": 2000,"relay": {"ip-address": "192.168.50.249"},"renew-timer": 1000,"reservation-mode": "all","server-hostname": "","subnet": "192.168.52.0/24","valid-lifetime": 4000},{"4o6-interface": "","4o6-interface-id": "","4o6-subnet": "","boot-file-name": "","id": 4,"match-client-id": true,"next-server": "0.0.0.0","option-data": [{"always-send": false,"code": 4,"csv-format": false,"data": "C7C7C7C8","name": "time-servers","space": "dhcp4"}],"pools": [{"option-data": [],"pool": "192.168.53.1/32"}],"rebind-timer": 2000,"relay": {"ip-address": "192.168.50.249"},"renew-timer": 1000,"reservation-mode": "all","server-hostname": "","subnet": "192.168.53.0/24","valid-lifetime": 4000}],"valid-lifetime": 0}]}}',
exp_result=1)
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-get","arguments":{"name": "name-xyz"}}')
@pytest.mark.v4
@pytest.mark.kea_only
@pytest.mark.controlchannel
@pytest.mark.hook
@pytest.mark.network_cmds
def test_hook_v4_network_cmds_del():
misc.test_setup()
srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.1-192.168.50.1')
srv_control.config_srv_another_subnet_no_interface('192.168.51.0/24',
'192.168.51.1-192.168.51.1')
srv_control.config_srv('time-servers', 0, '199.199.199.10')
srv_control.shared_subnet('192.168.50.0/24', 0)
srv_control.shared_subnet('192.168.51.0/24', 0)
srv_control.set_conf_parameter_shared_subnet('name', '"name-abc"', 0)
srv_control.set_conf_parameter_shared_subnet('interface', '"$(SERVER_IFACE)"', 0)
srv_control.add_hooks('libdhcp_subnet_cmds.so')
srv_control.open_control_channel()
srv_control.build_and_send_config_files()
srv_control.start_srv('DHCP', 'started')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_requests_option(6)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', 'OFFER')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-list","arguments":{}}')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-del","arguments":{"name":"name-abc","subnets-action": "delete"}}')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_dont_wait_for_message()
@pytest.mark.v4
@pytest.mark.kea_only
@pytest.mark.controlchannel
@pytest.mark.hook
@pytest.mark.network_cmds
def test_hook_v4_network_cmds_del_keep_subnet():
misc.test_setup()
srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.1-192.168.50.1')
srv_control.config_srv_another_subnet_no_interface('192.168.51.0/24',
'192.168.51.1-192.168.51.1')
srv_control.config_srv('time-servers', 0, '199.199.199.10')
srv_control.shared_subnet('192.168.50.0/24', 0)
srv_control.shared_subnet('192.168.51.0/24', 0)
srv_control.set_conf_parameter_shared_subnet('name', '"name-abc"', 0)
srv_control.set_conf_parameter_shared_subnet('interface', '"$(SERVER_IFACE)"', 0)
srv_control.add_hooks('libdhcp_subnet_cmds.so')
srv_control.open_control_channel()
srv_control.build_and_send_config_files()
srv_control.start_srv('DHCP', 'started')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_requests_option(6)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', 'OFFER')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-list","arguments":{}}')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-del","arguments":{"name":"name-abc","subnets-action": "keep"}}')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_requests_option(6)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', 'OFFER')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-list","arguments":{}}', exp_result=3)
@pytest.mark.v4
@pytest.mark.kea_only
@pytest.mark.controlchannel
@pytest.mark.hook
@pytest.mark.network_cmds
def test_hook_v4_network_cmds_del_non_existing():
misc.test_setup()
srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.1-192.168.50.1')
srv_control.config_srv_another_subnet_no_interface('192.168.51.0/24',
'192.168.51.1-192.168.51.1')
srv_control.config_srv_another_subnet_no_interface('192.168.52.0/24',
'192.168.52.1-192.168.52.1')
srv_control.config_srv_another_subnet_no_interface('192.168.53.0/24',
'192.168.53.1-192.168.53.1')
srv_control.config_srv('time-servers', 0, '199.199.199.10')
srv_control.config_srv('time-servers', 2, '199.199.199.100')
srv_control.config_srv('time-servers', 3, '199.199.199.200')
srv_control.add_hooks('libdhcp_subnet_cmds.so')
# first shared subnet
srv_control.shared_subnet('192.168.50.0/24', 0)
srv_control.shared_subnet('192.168.51.0/24', 0)
srv_control.set_conf_parameter_shared_subnet('name', '"name-abc"', 0)
srv_control.set_conf_parameter_shared_subnet('interface', '"$(SERVER_IFACE)"', 0)
# second shared-subnet
srv_control.shared_subnet('192.168.52.0/24', 1)
srv_control.shared_subnet('192.168.53.0/24', 1)
srv_control.set_conf_parameter_shared_subnet('name', '"name-xyz"', 1)
srv_control.set_conf_parameter_shared_subnet('relay', '{"ip-address":"$(GIADDR4)"}', 1)
srv_control.open_control_channel()
srv_control.build_and_send_config_files()
srv_control.start_srv('DHCP', 'started')
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-del","arguments":{"name":"name-xxyz,"subnets-action": "delete""}}',
exp_result=1)
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-list","arguments":{}}')
@pytest.mark.v4
@pytest.mark.kea_only
@pytest.mark.controlchannel
@pytest.mark.hook
@pytest.mark.network_cmds
def test_hook_v4_network_cmds_del_global_options():
misc.test_setup()
srv_control.config_srv_opt('domain-name-servers', '199.199.199.1,100.100.100.1')
srv_control.config_srv_subnet('192.168.50.0/24', '$(EMPTY)')
srv_control.config_srv_another_subnet_no_interface('192.168.51.0/24',
'192.168.51.1-192.168.51.1')
# first shared subnet
srv_control.shared_subnet('192.168.51.0/24', 0)
srv_control.set_conf_parameter_shared_subnet('name', '"name-abc"', 0)
srv_control.set_conf_parameter_shared_subnet('interface', '"$(SERVER_IFACE)"', 0)
srv_control.open_control_channel()
srv_control.add_hooks('libdhcp_subnet_cmds.so')
srv_control.build_and_send_config_files()
srv_control.start_srv('DHCP', 'started')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_requests_option(6)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', 'OFFER')
srv_msg.response_check_include_option(1)
srv_msg.response_check_content('yiaddr', '192.168.51.1')
srv_msg.response_check_option_content(1, 'value', '255.255.255.0')
srv_msg.send_ctrl_cmd_via_socket('{"command": "network4-del","arguments":{"name":"name-abc","subnets-action": "delete"}}')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_dont_wait_for_message()
# That needs subnet with empty pool to work
misc.test_procedure()
srv_msg.client_requests_option(6)
srv_msg.client_sets_value('Client', 'ciaddr', '$(CIADDR)')
srv_msg.client_send_msg('INFORM')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', 'ACK')
srv_msg.response_check_include_option(6)
srv_msg.response_check_option_content(6, 'value', '199.199.199.1')
srv_msg.response_check_option_content(6, 'value', '100.100.100.1')
@pytest.mark.v4
@pytest.mark.kea_only
@pytest.mark.controlchannel
@pytest.mark.hook
@pytest.mark.network_cmds
def test_hook_v4_network_cmds_add_and_del():
misc.test_setup()
srv_control.config_srv_subnet('$(EMPTY)', '$(EMPTY)')
srv_control.config_srv_opt('domain-name-servers', '199.199.199.1,100.100.100.1')
srv_control.open_control_channel()
srv_control.add_hooks('libdhcp_subnet_cmds.so')
srv_control.build_and_send_config_files()
srv_control.start_srv('DHCP', 'started')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_dont_wait_for_message()
srv_msg.send_ctrl_cmd_via_socket('{"command":"network4-add","arguments":{"shared-networks": [{"name": "name-xyz","rebind-timer": 100,"renew-timer": 100,"valid-lifetime": 400,"subnet4": [{"interface": "$(SERVER_IFACE)", "pools": [{"pool": "192.168.50.1/32"}],"rebind-timer": 2000,"renew-timer": 1000,"subnet": "192.168.50.0/24","valid-lifetime": 4000}]}]}}')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_requests_option(6)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_wait_for_message('MUST', 'OFFER')
srv_msg.response_check_include_option(1)
srv_msg.response_check_content('yiaddr', '192.168.50.1')
srv_msg.response_check_option_content(1, 'value', '255.255.255.0')
srv_msg.send_ctrl_cmd_via_socket('{"command": "network4-del","arguments":{"name":"name-xyz","subnets-action": "delete"}}')
misc.test_procedure()
srv_msg.client_requests_option(1)
srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04')
srv_msg.client_send_msg('DISCOVER')
misc.pass_criteria()
srv_msg.send_dont_wait_for_message()
| 45.493766 | 1,309 | 0.686181 | 2,749 | 18,243 | 4.241179 | 0.064387 | 0.103782 | 0.043228 | 0.066815 | 0.962175 | 0.956857 | 0.953255 | 0.952054 | 0.944078 | 0.942362 | 0 | 0.10007 | 0.141643 | 18,243 | 400 | 1,310 | 45.6075 | 0.644486 | 0.016554 | 0 | 0.912903 | 0 | 0.025806 | 0.329038 | 0.148675 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029032 | true | 0.03871 | 0.012903 | 0 | 0.041935 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
4561282cbdc703b01648f24bcbe28a438fcc31e0 | 136 | py | Python | a/utils.py | zhangalbert/a | 466b10ded2c85e7fceea60a95f081cb0b11b5222 | [
"Apache-2.0"
] | null | null | null | a/utils.py | zhangalbert/a | 466b10ded2c85e7fceea60a95f081cb0b11b5222 | [
"Apache-2.0"
] | null | null | null | a/utils.py | zhangalbert/a | 466b10ded2c85e7fceea60a95f081cb0b11b5222 | [
"Apache-2.0"
] | null | null | null | import json
from webob import Response
def jsonfy(**kwargs):
return Response(json.dumps(kwargs), content_type='application/json')
| 19.428571 | 72 | 0.764706 | 18 | 136 | 5.722222 | 0.722222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 136 | 6 | 73 | 22.666667 | 0.865546 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.5 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
2fb51f5585ff5a4a9c60b4b09f0e7718737e0693 | 7,881 | py | Python | demisto_sdk/commands/lint/tests/test_pylint_plugin/partner_level_checker_test.py | sturmianseq/demisto-sdk | 67ce7ee70ccd557d661e03a60469301c5cbcb9c0 | [
"MIT"
] | 42 | 2019-11-07T13:02:00.000Z | 2022-03-29T03:39:04.000Z | demisto_sdk/commands/lint/tests/test_pylint_plugin/partner_level_checker_test.py | sturmianseq/demisto-sdk | 67ce7ee70ccd557d661e03a60469301c5cbcb9c0 | [
"MIT"
] | 1,437 | 2019-11-07T13:02:25.000Z | 2022-03-31T12:48:11.000Z | demisto_sdk/commands/lint/tests/test_pylint_plugin/partner_level_checker_test.py | sturmianseq/demisto-sdk | 67ce7ee70ccd557d661e03a60469301c5cbcb9c0 | [
"MIT"
] | 46 | 2019-12-09T21:44:30.000Z | 2022-03-24T17:36:45.000Z | import astroid
import pylint.testutils
from demisto_sdk.commands.lint.resources.pylint_plugins import \
partner_level_checker
# You can find documentation about adding new test checker here:
# http://pylint.pycqa.org/en/latest/how_tos/custom_checkers.html#write-a-checker
class TestTryExceptMainChecker(pylint.testutils.CheckerTestCase):
"""
Class which tests the functionality of sys exit checker .
"""
CHECKER_CLASS = partner_level_checker.PartnerChecker
def test_try_except_exists(self):
"""
Given:
- String of a code part which is being examined by pylint plugin.
When:
- in main function, try except statement exists.
Then:
- Ensure that it does not raise any errors, Check that there is no error message.
"""
node_b = astroid.extract_node("""
def test_function():
sys.exit(1)
return True
def main():
try:
return True
except:
return False
return_error('error')
""")
assert node_b is not None
with self.assertNoMessages():
self.checker.visit_functiondef(node_b)
def test_try_except_finally_exists(self):
"""
Given:
- String of a code part which is being examined by pylint plugin.
When:
- in main function, try-except-finally statement exists.
Then:
- Ensure that it does not raise any errors, Check that there is no error message.
"""
node_b = astroid.extract_node("""
def test_function():
sys.exit(1)
return True
def main():
try:
return True
except:
return False
return_error('error')
finally:
pass
""")
assert node_b
with self.assertNoMessages():
self.checker.visit_functiondef(node_b)
def test_try_except_doesnt_exists(self):
"""
Given:
- String of a code part which is being examined by pylint plugin.
When:
- in main function , there is no try except statement.
Then:
- Ensure that the correct message id is being added to the message errors of pylint
"""
node_b = astroid.extract_node("""
def test_function():
sys.exit(1)
return True
def main():
return True
return_error('err')
""")
assert node_b is not None
with self.assertAddsMessages(
pylint.testutils.Message(
msg_id='try-except-main-doesnt-exists',
node=node_b,
),
):
self.checker.visit_functiondef(node_b)
class TestReturnErrorInMainChecker(pylint.testutils.CheckerTestCase):
"""
Class which tests the functionality of sys exit checker .
"""
CHECKER_CLASS = partner_level_checker.PartnerChecker
def test_return_error_exists(self):
"""
Given:
- String of a code part which is being examined by pylint plugin.
When:
- return_error exists in main function.
Then:
- Ensure that it does not raise any errors, Check that there is no error message.
"""
node_b = astroid.extract_node("""
def test_function():
sys.exit(1)
return True
def main():
try:
return True
except:
return_error('not ok')
""")
assert node_b is not None
with self.assertNoMessages():
self.checker.visit_functiondef(node_b)
def test_return_error_dosnt_exists_in_main(self):
"""
Given:
- String of a code part which is being examined by pylint plugin.
When:
- in main function , there is no return_error statement and in no other section in the code.
Then:
- Ensure that the correct message id is being added to the messages of pylint
"""
node_b = astroid.extract_node("""
def test_function():
sys.exit(1)
return True
def main():
try:
return True
except:
return False
""")
assert node_b is not None
with self.assertAddsMessages(
pylint.testutils.Message(
msg_id='return-error-does-not-exist-in-main',
node=node_b,
),
):
self.checker.visit_functiondef(node_b)
def test_return_error_exists_not_in_main(self):
"""
Given:
- String of a code part which is being examined by pylint plugin.
When:
- return_error statment exists but not in main function but in a different one.
Then:
- Ensure that the correct message id is being added to the messages of pylint
"""
node_b = astroid.extract_node("""
def test_function():
sys.exit(1)
return_error('error')
def main():
try:
return True
except:
return False
""")
assert node_b is not None
with self.assertAddsMessages(
pylint.testutils.Message(
msg_id='return-error-does-not-exist-in-main',
node=node_b,
),
):
self.checker.visit_functiondef(node_b)
class TestReturnErrorCountChecker(pylint.testutils.CheckerTestCase):
"""
Class which tests the functionality of sys exit checker .
"""
CHECKER_CLASS = partner_level_checker.PartnerChecker
def test_return_error_exists_once(self):
"""
Given:
- String of a code part which is being examined by pylint plugin.
When:
- return_error exists only once.
Then:
- Ensure that it does not raise any errors, Check that there is no error message.
"""
node_b = astroid.extract_node("""
def test_function():
sys.exit(1)
return True
def main():
try:
return True
except:
return_error('not ok')
""")
assert node_b is not None
with self.assertNoMessages():
self.checker.visit_call(node_b)
self.checker.leave_module(node_b)
def test_return_error_exists_more_than_once(self):
"""
Given:
- String of a code part which is being examined by pylint plugin.
When:
- return_error usage exists more than once in the code.
Then:
- Ensure that the correct message id is being added to the messages of pylint
"""
node_a, node_b = astroid.extract_node("""
return_error()
def test_function():
return_error('again') #@
def main():
try:
return True
except:
return_error('not ok') #@
""")
assert node_b is not None
with self.assertAddsMessages(
pylint.testutils.Message(
msg_id='too-many-return-error',
node=node_b,
),
):
self.checker.visit_call(node_b)
self.checker.visit_call(node_a)
self.checker.leave_module(node_b)
| 31.650602 | 104 | 0.530897 | 848 | 7,881 | 4.783019 | 0.148585 | 0.036982 | 0.035503 | 0.033531 | 0.835552 | 0.829882 | 0.819527 | 0.80646 | 0.792653 | 0.792653 | 0 | 0.001477 | 0.398553 | 7,881 | 248 | 105 | 31.778226 | 0.854219 | 0.279152 | 0 | 0.823129 | 0 | 0 | 0.414634 | 0.039805 | 0 | 0 | 0 | 0 | 0.108844 | 1 | 0.054422 | false | 0.006803 | 0.020408 | 0 | 0.238095 | 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 |
2fedfa3d306323a242a86b631c26d6d97559fcc7 | 200 | py | Python | pypipe-core/pypipe/tools/freebayes.py | ctlab/pypipe | f20da66d915a0503ff367b648987c75620814b33 | [
"MIT"
] | 2 | 2015-02-19T14:25:31.000Z | 2017-07-18T20:49:28.000Z | pypipe-core/pypipe/tools/freebayes.py | ctlab/pypipe | f20da66d915a0503ff367b648987c75620814b33 | [
"MIT"
] | null | null | null | pypipe-core/pypipe/tools/freebayes.py | ctlab/pypipe | f20da66d915a0503ff367b648987c75620814b33 | [
"MIT"
] | null | null | null | from pypipe.tools.toolsconfig import Freebayes
from pypipe.utils import tool, check_if_program_exists
check_if_program_exists('freebayes')
@tool
def freebayes():
return Freebayes.freebayes()
| 16.666667 | 54 | 0.805 | 26 | 200 | 5.961538 | 0.538462 | 0.129032 | 0.180645 | 0.258065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12 | 200 | 11 | 55 | 18.181818 | 0.880682 | 0 | 0 | 0 | 0 | 0 | 0.045226 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0.333333 | 0.166667 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
2ff8bd6a857664c300093e0cd9e42f576163e4cb | 1,607 | py | Python | src/ikazuchi/tests/data/rst/parse_lineblock.py | t2y/ikazuchi | 7023111e92fa47360c50cfefd1398c554475f2c6 | [
"Apache-2.0"
] | null | null | null | src/ikazuchi/tests/data/rst/parse_lineblock.py | t2y/ikazuchi | 7023111e92fa47360c50cfefd1398c554475f2c6 | [
"Apache-2.0"
] | null | null | null | src/ikazuchi/tests/data/rst/parse_lineblock.py | t2y/ikazuchi | 7023111e92fa47360c50cfefd1398c554475f2c6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
DATA_SET = [
(
[u"| first line",
u"| second line",
u""],
[("ln",
[u"| first line",
u"| second line"],
u""),
1]
),
(
[u"| first line",
u"| second line"],
[("ln",
[u"| first line",
u"| second line"],
u""),
1]
),
(
[u"| first line",
u"| second line",
u""],
[("ln",
[u"| first line",
u"| second line"],
u""),
1]
),
(
[u"| first line",
u"| second line",
u"| third line",
u""],
[("ln",
[u"| first line",
u"| second line",
u"| third line"],
u""),
2]
),
(
[u"| first line",
u"| second line",
u"| third line",
u"| fourth line",
u""],
[("ln",
[u"| first line",
u"| second line",
u"| third line",
u"| fourth line"],
u""),
3]
),
(
[u"| first line",
u"|",
u"| second line",
u""],
[("ln",
[u"| first line",
u"|",
u"| second line"],
u""),
2]
),
(
[u"| first line",
u"|",
u"| second line",
u"|",
u""],
[("ln",
[u"| first line",
u"|",
u"| second line",
u"|"],
u""),
3]
),
]
| 18.686047 | 32 | 0.257623 | 140 | 1,607 | 2.95 | 0.107143 | 0.399516 | 0.338983 | 0.372881 | 0.953995 | 0.953995 | 0.953995 | 0.949153 | 0.922518 | 0.837772 | 0 | 0.011065 | 0.550093 | 1,607 | 85 | 33 | 18.905882 | 0.560166 | 0.013068 | 0 | 0.843373 | 0 | 0 | 0.305556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 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 | 11 |
64208dd5297376c33684041f2a39221e73440674 | 284 | py | Python | nighres/segmentation/__init__.py | ahleighton/nighres | bc01463241a03a88569b3ba56e195127788b5639 | [
"Apache-2.0"
] | 41 | 2017-08-15T12:23:31.000Z | 2022-02-28T15:12:22.000Z | nighres/segmentation/__init__.py | ahleighton/nighres | bc01463241a03a88569b3ba56e195127788b5639 | [
"Apache-2.0"
] | 130 | 2017-07-27T11:09:09.000Z | 2022-03-31T10:05:07.000Z | nighres/segmentation/__init__.py | ahleighton/nighres | bc01463241a03a88569b3ba56e195127788b5639 | [
"Apache-2.0"
] | 35 | 2017-08-17T17:05:41.000Z | 2022-03-28T12:22:14.000Z | from nighres.segmentation.conditional_shape import conditional_shape
from nighres.segmentation.conditional_shape import conditional_shape_atlasing
from nighres.segmentation.conditional_shape import conditional_shape_updating
from nighres.segmentation.fuzzy_cmeans import fuzzy_cmeans
| 56.8 | 77 | 0.915493 | 34 | 284 | 7.352941 | 0.294118 | 0.384 | 0.368 | 0.408 | 0.732 | 0.732 | 0.732 | 0.732 | 0 | 0 | 0 | 0 | 0.056338 | 284 | 4 | 78 | 71 | 0.932836 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 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 | 10 |
642b886e639c184120547145e09719f51325cd03 | 1,893 | py | Python | dogehouse/core/User.py | ItzAmirreza/dogehouse.py | 16a9c54fdc83d6e188cbf2785e5ccb7e718822e1 | [
"MIT"
] | 2 | 2021-05-04T19:59:56.000Z | 2021-05-05T00:28:36.000Z | dogehouse/core/User.py | ItzAmirreza/dogify.py | 16a9c54fdc83d6e188cbf2785e5ccb7e718822e1 | [
"MIT"
] | null | null | null | dogehouse/core/User.py | ItzAmirreza/dogify.py | 16a9c54fdc83d6e188cbf2785e5ccb7e718822e1 | [
"MIT"
] | null | null | null | import datetime
class User:
def __init__(self, data):
self.id = data["id"]
self.username = data["username"]
self.avatarUrl = data["avatarUrl"]
self.bannerUrl = data["bannerUrl"]
self.bio = data["bio"]
self.botOwnerId = data["botOwnerId"]
self.currentRoomId = data["currentRoomId"]
self.displayName = data["displayName"]
self.followers = data["followsYou"]
self.following = data["youAreFollowing"]
self.blockedUsers = data["iBlockedThem"]
try:
self.lastonlinedatetime = datetime.datetime.strptime(
f"{data['lastOnline'].split('T')[0]} {data['lastOnline'].split('T')[1].replace('Z', '')}", '%Y-%m-%d %H:%M:%S.%f')
except:
self.lastonlinedatetime = None
self.followersCount = data["numFollowers"]
self.followingCount = data["numFollowing"]
self.roomPermissions = data["roomPermissions"]
async def update(self, data):
self.id = data["id"]
self.username = data["username"]
self.avatarUrl = data["avatarUrl"]
self.bannerUrl = data["bannerUrl"]
self.bio = data["bio"]
self.botOwnerId = data["botOwnerId"]
self.currentRoomId = data["currentRoomId"]
self.displayName = data["displayName"]
self.followers = data["followsYou"]
self.following = data["youAreFollowing"]
self.blockedUsers = data["iBlockedThem"]
try:
self.lastonlinedatetime = datetime.datetime.strptime(
f"{data['lastOnline'].split('T')[0]} {data['lastOnline'].split('T')[1].replace('Z', '')}", '%Y-%m-%d %H:%M:%S.%f')
except:
self.lastonlinedatetime = None
self.followersCount = data["numFollowers"]
self.followingCount = data["numFollowing"]
self.roomPermissions = data["roomPermissions"]
| 39.4375 | 130 | 0.593767 | 185 | 1,893 | 6.054054 | 0.254054 | 0.078571 | 0.067857 | 0.071429 | 0.960714 | 0.960714 | 0.960714 | 0.960714 | 0.960714 | 0.960714 | 0 | 0.002811 | 0.248283 | 1,893 | 47 | 131 | 40.276596 | 0.784259 | 0 | 0 | 0.904762 | 0 | 0.047619 | 0.260961 | 0.084522 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.02381 | 0 | 0.071429 | 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 |
642e733ef283f98dc9dc2670ef7bf025f16c89ba | 13,762 | py | Python | tests/test_dyads_expectation.py | nicoloval/iterative_reconstruction | 09fc440b75e8af1e8c52973b520309b6bdcc8142 | [
"MIT"
] | null | null | null | tests/test_dyads_expectation.py | nicoloval/iterative_reconstruction | 09fc440b75e8af1e8c52973b520309b6bdcc8142 | [
"MIT"
] | null | null | null | tests/test_dyads_expectation.py | nicoloval/iterative_reconstruction | 09fc440b75e8af1e8c52973b520309b6bdcc8142 | [
"MIT"
] | null | null | null | '''Test function dyads_expectation calculation
'''
import os
import sys
sys.path.append('../')
import sample
import numpy as np
import scipy.sparse
import unittest # test tool
class MyTest(unittest.TestCase):
def setUp(self):
pass
def test_dcm_dyads(self):
A = np.array(
[[0, 1, 1, 0, 0],
[1, 0, 1, 0, 0],
[0, 0, 0, 1, 0],
[1, 1, 0, 0, 1],
[0, 0, 1, 0, 0]]
)
dyads_count = 1
dyads_analytical_expectation = 5
sol = np.array([1]*10)
dyads_fun_expectation = sample.expected_dyads(sol, method='dcm')
self.assertTrue(dyads_fun_expectation == dyads_analytical_expectation)
def test_dcm_singles(self):
A = np.array(
[[0, 1, 1, 0, 0],
[1, 0, 1, 0, 0],
[0, 0, 0, 1, 0],
[1, 1, 0, 0, 1],
[0, 0, 1, 0, 0]]
)
dyads_analytical_expectation = 5
sol = np.array([1]*10)
dyads_fun_expectation = sample.expected_dyads(sol, method='dcm', t='singles')
#print(dyads_fun_expectation)
self.assertTrue(dyads_fun_expectation == dyads_analytical_expectation)
def test_dcm_zeros(self):
A = np.array(
[[0, 1, 1, 0, 0],
[1, 0, 1, 0, 0],
[0, 0, 0, 1, 0],
[1, 1, 0, 0, 1],
[0, 0, 1, 0, 0]]
)
dyads_analytical_expectation = 5
sol = np.array([1]*10)
dyads_fun_expectation = sample.expected_dyads(sol, method='dcm', t='zeros')
# print(dyads_fun_expectation)
self.assertTrue(dyads_fun_expectation == dyads_analytical_expectation)
def test_dcm_rd_dyads(self):
A = np.array(
[[0, 1, 1, 0, 0],
[1, 0, 1, 0, 0],
[0, 0, 0, 1, 0],
[1, 1, 0, 0, 1],
[0, 0, 1, 0, 0]]
)
dyads_count = 1
dyads_analytical_expectation = 5
sol = np.array([1]*8)
"""
c = [2, 0, 0, 0]
dyads_fun_expectation = sample.expected_dyads_dcm_rd(sol, c)
print(dyads_fun_expectation)
print(dyads_analytical_expectation)
"""
dyads_fun_expectation = sample.expected_dyads(sol, method='dcm_rd', A=A)
#print(dyads_fun_expectation)
#print(dyads_analytical_expectation)
self.assertTrue(dyads_fun_expectation == dyads_analytical_expectation)
"""
def test_dcm_dyads_emseble_empirical_1(self):
A = np.array(
[[0, 1, 1, 0, 0],
[1, 0, 1, 0, 0],
[0, 0, 0, 1, 0],
[1, 1, 0, 0, 1],
[0, 0, 1, 0, 0]]
)
# solve the netrec problem
sol, step, diff = sample.iterative_solver(A, max_steps = 300, eps = 0.01)
# find the analytical expectation
# dyads
dyads_fun_expectation = sample.expected_dyads(sol, method='dcm')
# singles
singles_fun_expectation = sample.expected_dyads(sol, method='dcm', t='singles')
# zeros
zeros_fun_expectation = sample.expected_dyads(sol, method='dcm', t='zeros')
# sample 100 networks (dcm method by default)
s_dir = 'tmp'
sample.ensemble_sampler(sol=sol, m=100, method='dcm', sample_dir=s_dir)
# count empirical dyads for each sampled network
files = os.listdir(s_dir)
dyads_l = []
singles_l = []
zeros_l = []
for f in files:
fA = scipy.sparse.load_npz(s_dir + '/' + f)
dyads = sample.dyads_count(fA)
dyads_l.append(dyads)
singles = sample.singles_count(fA)
singles_l.append(singles)
zeros = sample.zeros_count(fA)
zeros_l.append(zeros)
# compute empirical average
dyads_empirical_expectation = np.average(dyads_l)
singles_empirical_expectation = np.average(singles_l)
zeros_empirical_expectation = np.average(zeros_l)
# debug
print('Empirical test 1')
print('dyads')
print(dyads_fun_expectation)
print(dyads_empirical_expectation)
print('singles')
print(singles_fun_expectation)
print(singles_empirical_expectation)
print('zeros')
print(zeros_fun_expectation)
print(zeros_empirical_expectation)
# remove ensemble directory
files = os.listdir(s_dir)
for f in files:
os.remove(s_dir + '/' + f)
os.rmdir(s_dir)
# testing
self.assertTrue(np.allclose(dyads_fun_expectation, dyads_empirical_expectation, atol=1e-02, rtol=1e-02))
self.assertTrue(np.allclose(singles_fun_expectation, singles_empirical_expectation, atol=1e-02, rtol=1e-02))
self.assertTrue(np.allclose(zeros_fun_expectation, zeros_empirical_expectation, atol=1e-02, rtol=1e-02))
"""
"""
def test_dcm_dyads_emseble_empirical_2(self):
A = np.array([[0, 1, 0, 0, 0, 0, 1],
[1, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 1],
[0, 1, 0, 0, 1, 0, 1],
[1, 1, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 1, 0, 0],
[1, 0, 0, 0, 1, 0, 0]]
)
# solve the netrec problem
sol, step, diff = sample.iterative_solver(A, max_steps = 300, eps = 0.01)
# find the analytical expectation
# dyads
dyads_fun_expectation = sample.expected_dyads(sol, method='dcm')
# singles
singles_fun_expectation = sample.expected_dyads(sol, method='dcm', t='singles')
# zeros
zeros_fun_expectation = sample.expected_dyads(sol, method='dcm', t='zeros')
# sample 100 networks (dcm method by default)
s_dir = 'tmp'
sample.ensemble_sampler(sol=sol, m=100, method='dcm', sample_dir=s_dir)
# count empirical dyads for each sampled network
files = os.listdir(s_dir)
dyads_l = []
singles_l = []
zeros_l = []
for f in files:
fA = scipy.sparse.load_npz(s_dir + '/' + f)
dyads = sample.dyads_count(fA)
dyads_l.append(dyads)
singles = sample.singles_count(fA)
singles_l.append(singles)
zeros = sample.zeros_count(fA)
zeros_l.append(zeros)
# compute empirical average
dyads_empirical_expectation = np.average(dyads_l)
singles_empirical_expectation = np.average(singles_l)
zeros_empirical_expectation = np.average(zeros_l)
# debug
print('Empirical test 2')
print('dyads')
print('analytical: {}'.format(dyads_fun_expectation))
print('Empirical : {}'.format(dyads_empirical_expectation))
print('singles')
print(singles_fun_expectation)
print(singles_empirical_expectation)
print('zeros')
print(zeros_fun_expectation)
print(zeros_empirical_expectation)
# remove ensemble directory
files = os.listdir(s_dir)
for f in files:
os.remove(s_dir + '/' + f)
os.rmdir(s_dir)
# testing
self.assertTrue(np.allclose(dyads_fun_expectation, dyads_empirical_expectation, atol=1e-02, rtol=1e-02))
self.assertTrue(np.allclose(singles_fun_expectation, singles_empirical_expectation, atol=1e-02, rtol=1e-02))
self.assertTrue(np.allclose(zeros_fun_expectation, zeros_empirical_expectation, atol=1e-02, rtol=1e-02))
"""
def test_dcm_dyads_emseble_empirical(self):
A = np.array([[0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],
[0., 0., 0., 0., 1., 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., 0., 0., 0., 0., 0., 0., 0., 1., 0., 1.],
[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., 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.]])
# solve the netrec problem
sol, step, diff = sample.iterative_solver(A, max_steps = 300, eps = 0.01, method='dcm')
# find the analytical expectation
# dyads
dyads_fun_expectation = sample.expected_dyads(sol, method='dcm')
# singles
singles_fun_expectation = sample.expected_dyads(sol, method='dcm', t='singles')
# zeros
zeros_fun_expectation = sample.expected_dyads(sol, method='dcm', t='zeros')
# sample 100 networks (dcm method by default)
s_dir = 'tmp'
sample.ensemble_sampler(sol=sol, m=1000, method='dcm', sample_dir=s_dir)
# count empirical dyads for each sampled network
files = os.listdir(s_dir)
dyads_l = []
singles_l = []
zeros_l = []
for f in files:
fA = scipy.sparse.load_npz(s_dir + '/' + f)
dyads = sample.dyads_count(fA)
dyads_l.append(dyads)
singles = sample.singles_count(fA)
singles_l.append(singles)
zeros = sample.zeros_count(fA)
zeros_l.append(zeros)
# compute empirical average
dyads_empirical_expectation = np.average(dyads_l)
singles_empirical_expectation = np.average(singles_l)
zeros_empirical_expectation = np.average(zeros_l)
# debug
"""
print('Empirical test DCM')
print('dyads')
print('analytical: {}'.format(dyads_fun_expectation))
print('Empirical : {}'.format(dyads_empirical_expectation))
print('singles')
print(singles_fun_expectation)
print(singles_empirical_expectation)
print('zeros')
print(zeros_fun_expectation)
print(zeros_empirical_expectation)
"""
# remove ensemble directory
files = os.listdir(s_dir)
for f in files:
os.remove(s_dir + '/' + f)
os.rmdir(s_dir)
# testing
self.assertTrue(np.allclose(dyads_fun_expectation, dyads_empirical_expectation, atol=1e-01, rtol=1e-01))
self.assertTrue(np.allclose(singles_fun_expectation, singles_empirical_expectation, atol=1e-01, rtol=1e-01))
self.assertTrue(np.allclose(zeros_fun_expectation, zeros_empirical_expectation, atol=1e-01, rtol=1e-01))
def test_dcm_rd_dyads_emseble_empirical(self):
A = np.array([[0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],
[0., 0., 0., 0., 1., 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., 0., 0., 0., 0., 0., 0., 0., 1., 0., 1.],
[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., 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.]])
# solve the netrec problem
sol, step, diff = sample.iterative_solver(A, max_steps = 300, eps = 0.01, method='dcm_rd')
d = sample.scalability_classes(A, 'dcm_rd')
sol_full = sample.rd2full(sol, d, 'dcm_rd')
sol = sol_full
# find the analytical expectation
# dyads
dyads_fun_expectation = sample.expected_dyads(sol, method='dcm')
# singles
singles_fun_expectation = sample.expected_dyads(sol, method='dcm', t='singles')
# zeros
zeros_fun_expectation = sample.expected_dyads(sol, method='dcm', t='zeros')
# sample 100 networks (dcm method by default)
s_dir = 'tmp'
sample.ensemble_sampler(sol=sol, m=1000, method='dcm', sample_dir=s_dir)
# count empirical dyads for each sampled network
files = os.listdir(s_dir)
dyads_l = []
singles_l = []
zeros_l = []
for f in files:
fA = scipy.sparse.load_npz(s_dir + '/' + f)
dyads = sample.dyads_count(fA)
dyads_l.append(dyads)
singles = sample.singles_count(fA)
singles_l.append(singles)
zeros = sample.zeros_count(fA)
zeros_l.append(zeros)
# compute empirical average
dyads_empirical_expectation = np.average(dyads_l)
singles_empirical_expectation = np.average(singles_l)
zeros_empirical_expectation = np.average(zeros_l)
# debug
"""
print('Empirical test DCM REDUCED')
print('dyads')
print('analytical: {}'.format(dyads_fun_expectation))
print('Empirical : {}'.format(dyads_empirical_expectation))
print('singles')
print(singles_fun_expectation)
print(singles_empirical_expectation)
print('zeros')
print(zeros_fun_expectation)
print(zeros_empirical_expectation)
"""
# remove ensemble directory
files = os.listdir(s_dir)
for f in files:
os.remove(s_dir + '/' + f)
os.rmdir(s_dir)
# testing
self.assertTrue(np.allclose(dyads_fun_expectation, dyads_empirical_expectation, atol=1e-01, rtol=1e-01))
self.assertTrue(np.allclose(singles_fun_expectation, singles_empirical_expectation, atol=1e-01, rtol=1e-01))
self.assertTrue(np.allclose(zeros_fun_expectation, zeros_empirical_expectation, atol=1e-01, rtol=1e-01))
if __name__ == '__main__':
unittest.main()
| 39.32 | 116 | 0.552536 | 1,778 | 13,762 | 4.079303 | 0.060742 | 0.075831 | 0.093065 | 0.110851 | 0.95395 | 0.95202 | 0.937405 | 0.936992 | 0.922515 | 0.914932 | 0 | 0.059151 | 0.30715 | 13,762 | 349 | 117 | 39.432665 | 0.701521 | 0.046796 | 0 | 0.786207 | 0 | 0 | 0.016674 | 0 | 0 | 0 | 0 | 0 | 0.068966 | 1 | 0.048276 | false | 0.006897 | 0.041379 | 0 | 0.096552 | 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 |
ff4f8a3c3af29408e48e1d3224f34e2bed4e06f8 | 16,864 | py | Python | cohesivenet/api/vns3ms/user_api.py | cohesive/python-cohesivenet-sdk | 5620acfa669ff97c94d9aa04a16facda37d648c1 | [
"MIT"
] | null | null | null | cohesivenet/api/vns3ms/user_api.py | cohesive/python-cohesivenet-sdk | 5620acfa669ff97c94d9aa04a16facda37d648c1 | [
"MIT"
] | null | null | null | cohesivenet/api/vns3ms/user_api.py | cohesive/python-cohesivenet-sdk | 5620acfa669ff97c94d9aa04a16facda37d648c1 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
VNS3:ms API
Cohesive networks VNS3 provides complete control of your network's addresses, routes, rules and edge. Networking does # noqa: E501
Contact: solutions@cohesive.net
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
from cohesivenet.api_builder import VersionRouter
def put_user_password(
api_client, password=None, force_refresh=None, **kwargs
): # noqa: E501
"""Update current user password # noqa: E501
Update current user password # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.put_user_password(password, async_req=True)
:param VNS3Client api_client: (required)
:param password str: New password (required)
:param force_refresh bool: Force session refresh
:param enabled bool: Enable/Disable API key
:param async_req bool: execute request asynchronously
: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: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = ["password", "force_refresh"]
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
for param in [p for p in request_params if local_var_params.get(p) is not None]:
body_params[param] = local_var_params[param]
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# HTTP header `Content-Type`
header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/user/password",
"PUT",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # 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 get_user_credentials(api_client, cred_id=None, fields=True, **kwargs): # noqa: E501
"""Get user credentials # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.get_user_credentials(async_req=True)
:param VNS3Client api_client: (required)
:param cred_id int: Filter by credential ID
:param fields bool: Return user credential fields in response
:param async_req bool: execute request asynchronously
: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: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = ["cred_id", "fields"]
collection_formats = {}
path_params = {}
query_params = []
for param in [p for p in request_params if local_var_params.get(p) is not None]:
query_params.append((param, local_var_params[param])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/user/credentials",
"GET",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # 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 post_create_user_credential(
api_client, name=None, code=None, fields=None, **kwargs
): # noqa: E501
"""Create user credential # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.post_create_user_credential(async_req=True)
:param VNS3Client api_client: (required)
:param name str: Name of new credential (required)
:param code str: Credential type code (required)
:param fields list[{key: str, value: str}]: Credential type code
:param async_req bool: execute request asynchronously
: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: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = ["name", "code", "fields"]
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
# this is a little annoyance yet to be fixed in VNS3:ms (2.3.5)
# expecting this field on ec2 codes
body_params = {
"fields": [{"key": "Use VNS3:ms IAM Role (Recommended Option)", "value": False}]
}
for param in [p for p in request_params if local_var_params.get(p) is not None]:
body_params[param] = local_var_params[param]
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# HTTP header `Content-Type`
header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/user/credentials",
"POST",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # 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 post_create_ec2_credential(
api_client, name=None, access_key=None, secret_key=None, gov_cloud=None, **kwargs
): # noqa: E501
"""Create user credential # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.post_create_user_credential(async_req=True)
:param VNS3Client api_client: (required)
:param name str: Name of new credential (required)
:param access_key str: Access key (required)
:param secret_key str: Secret key (required)
:param gov_cloud bool: True if for Gov Cloud
:param fields list[{key: str, value: str}]: Credential type code
:param async_req bool: execute request asynchronously
: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: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = ["name", "access_key", "secret_key", "gov_cloud"]
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
fields = [
{"key": "Access Key", "value": access_key},
{"key": "Secret Key", "value": secret_key},
{"key": "Use VNS3:ms IAM Role (Recommended Option)", "value": False},
{"key": "GovCloud", "value": gov_cloud if gov_cloud is not None else False},
]
body_params = {"name": name, "code": "ec2", "fields": fields}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# HTTP header `Content-Type`
header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/user/credentials",
"POST",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # 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 put_update_user_credential(
api_client, credential_id, name=None, code=None, fields=None, **kwargs
): # noqa: E501
"""Update user credential # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.put_update_user_credential(id, async_req=True)
:param VNS3Client api_client: (required)
:param credential_id int: Credential ID (required)
:param name str: Name of new credential
:param code str: Credential type code
:param fields list[{key: str, value: str}]: Credential type code
:param async_req bool: execute request asynchronously
: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: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = ["name", "code", "fields"]
collection_formats = {}
path_params = {"credential_id": credential_id}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
for param in [p for p in request_params if local_var_params.get(p) is not None]:
body_params[param] = local_var_params[param]
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# HTTP header `Content-Type`
header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/user/credentials/{credential_id}",
"PUT",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # 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 delete_user_credential(api_client, credential_id, **kwargs): # noqa: E501
"""Delete user credential # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> response = await api.delete_user_credential(id, async_req=True)
:param VNS3Client api_client: (required)
:param credential_id int: Credential ID (required)
:param async_req bool: execute request asynchronously
: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: APIResponse or awaitable if async
"""
local_var_params = locals()
request_params = []
collection_formats = {}
path_params = {"credential_id": credential_id}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = {}
# HTTP header `Accept`
header_params["Accept"] = api_client.select_header_accept(
["application/json"]
) # noqa: E501
# Authentication setting
auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501
return api_client.call_api(
"/user/credentials/{credential_id}",
"DELETE",
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type="object", # 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,
)
class UserApiRouter(VersionRouter):
"""User management endpoints for configuring credentials"""
function_library = {
"put_user_password": {"2.1.1-2.5.4": put_user_password},
"get_user_credentials": {"2.1.1-2.5.4": get_user_credentials},
"post_create_user_credential": {"2.1.1-2.5.4": post_create_user_credential},
"post_create_ec2_credential": {"2.1.1-2.5.4": post_create_ec2_credential},
"put_update_user_credential": {"2.1.1-2.5.4": put_update_user_credential},
"delete_user_credential": {"2.1.1-2.5.4": delete_user_credential},
}
| 34.987552 | 135 | 0.644746 | 2,006 | 16,864 | 5.153041 | 0.097208 | 0.038696 | 0.051466 | 0.046048 | 0.863016 | 0.854697 | 0.842024 | 0.837187 | 0.82403 | 0.803521 | 0 | 0.016606 | 0.264409 | 16,864 | 481 | 136 | 35.060291 | 0.816687 | 0.421905 | 0 | 0.772358 | 0 | 0 | 0.15585 | 0.032451 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0.020325 | 0.012195 | 0 | 0.069106 | 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 |
44662ca086f5763cf996cb74c5a90b037204d98c | 41 | py | Python | cutout/__init__.py | joaopaulomcc/cutout | 16b0c201c7074f05159483e09eb7df37a20369ce | [
"MIT"
] | null | null | null | cutout/__init__.py | joaopaulomcc/cutout | 16b0c201c7074f05159483e09eb7df37a20369ce | [
"MIT"
] | null | null | null | cutout/__init__.py | joaopaulomcc/cutout | 16b0c201c7074f05159483e09eb7df37a20369ce | [
"MIT"
] | null | null | null | from . import colors
from . import shapes | 20.5 | 20 | 0.780488 | 6 | 41 | 5.333333 | 0.666667 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.170732 | 41 | 2 | 21 | 20.5 | 0.941176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
2b8e1dbdccdcde13d28c18d9a68f871eac852784 | 7,991 | py | Python | test/test_packages_api.py | cvent/octopus-deploy-api-client | 0e03e842e1beb29b132776aee077df570b88366a | [
"Apache-2.0"
] | null | null | null | test/test_packages_api.py | cvent/octopus-deploy-api-client | 0e03e842e1beb29b132776aee077df570b88366a | [
"Apache-2.0"
] | null | null | null | test/test_packages_api.py | cvent/octopus-deploy-api-client | 0e03e842e1beb29b132776aee077df570b88366a | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Octopus Server API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 2019.6.7+Branch.tags-2019.6.7.Sha.aa18dc6809953218c66f57eff7d26481d9b23d6a
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import octopus_deploy_swagger_client
from octopus_deploy_client.packages_api import PackagesApi # noqa: E501
from octopus_deploy_swagger_client.rest import ApiException
class TestPackagesApi(unittest.TestCase):
"""PackagesApi unit test stubs"""
def setUp(self):
self.api = octopus_deploy_client.packages_api.PackagesApi() # noqa: E501
def tearDown(self):
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_list_notes_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_list_notes_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_list_notes_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_list_notes_action_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_notes_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_notes_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_notes_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_notes_action_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delete_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delete_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delete_action_0(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delete_action_0
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delete_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delete_action_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delete_action_spaces_0(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delete_action_spaces_0
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delta_signature_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delta_signature_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delta_signature_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delta_signature_action_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delta_upload_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delta_upload_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delta_upload_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_delta_upload_action_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_get_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_get_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_get_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_get_action_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_get_raw_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_get_raw_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_get_raw_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_get_raw_action_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_list_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_list_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_list_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_list_action_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_upload_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_upload_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_upload_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_repository_package_repository_upload_action_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_search_action_old(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_search_action_old
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_search_action_old_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_search_action_old_spaces
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_version_search_action(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_version_search_action
"""
pass
def test_custom_action_response_descriptor_octopus_server_web_api_actions_package_version_search_action_spaces(self):
"""Test case for custom_action_response_descriptor_octopus_server_web_api_actions_package_version_search_action_spaces
"""
pass
if __name__ == '__main__':
unittest.main()
| 44.642458 | 157 | 0.832186 | 997 | 7,991 | 5.942828 | 0.076229 | 0.183629 | 0.162025 | 0.243038 | 0.920169 | 0.910042 | 0.910042 | 0.897215 | 0.897215 | 0.897215 | 0 | 0.00749 | 0.131148 | 7,991 | 178 | 158 | 44.893258 | 0.845888 | 0.456514 | 0 | 0.416667 | 1 | 0 | 0.00191 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.433333 | false | 0.416667 | 0.083333 | 0 | 0.533333 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 11 |
2babba2c0b73e281483b0129c2bb8257be15517f | 207 | py | Python | quik/base.py | nusov/QuikPython | d992b9d5aaf68cdda3031a08705221fe461a7780 | [
"MIT"
] | null | null | null | quik/base.py | nusov/QuikPython | d992b9d5aaf68cdda3031a08705221fe461a7780 | [
"MIT"
] | null | null | null | quik/base.py | nusov/QuikPython | d992b9d5aaf68cdda3031a08705221fe461a7780 | [
"MIT"
] | null | null | null | class QuikNamespace(object):
def __init__(self, quik):
self.quik = quik
class QuikNamespaceWithArg(object):
def __init__(self, quik, name):
self.quik = quik
self.name = name | 23 | 35 | 0.642512 | 24 | 207 | 5.208333 | 0.375 | 0.256 | 0.208 | 0.272 | 0.336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.256039 | 207 | 9 | 36 | 23 | 0.811688 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0 | 0 | 0.571429 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
2be5b04371fab23b1a9f7340c4e0ed210f579570 | 24,762 | py | Python | skdecide/hub/domain/rcpsp/rcpsp_sk.py | emilienDespres/scikit-decide | 2a3dd2d93e5e6d07984e1bc02b6e969261aeefbc | [
"MIT"
] | 27 | 2020-11-23T11:45:31.000Z | 2022-03-22T08:08:00.000Z | skdecide/hub/domain/rcpsp/rcpsp_sk.py | emilienDespres/scikit-decide | 2a3dd2d93e5e6d07984e1bc02b6e969261aeefbc | [
"MIT"
] | 94 | 2021-02-24T09:50:23.000Z | 2022-02-27T10:07:15.000Z | skdecide/hub/domain/rcpsp/rcpsp_sk.py | emilienDespres/scikit-decide | 2a3dd2d93e5e6d07984e1bc02b6e969261aeefbc | [
"MIT"
] | 12 | 2020-12-08T10:38:26.000Z | 2021-10-01T09:17:04.000Z | # Copyright (c) AIRBUS and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
from typing import Any, Dict, List, Optional, Set, Union
from skdecide import DiscreteDistribution, Distribution
from skdecide.builders.domain.scheduling.modes import (
ConstantModeConsumption,
ModeConsumption,
)
from skdecide.builders.domain.scheduling.scheduling_domains import (
MultiModeMultiSkillRCPSP,
MultiModeMultiSkillRCPSPCalendar,
MultiModeRCPSP,
MultiModeRCPSP_Stochastic_Durations,
MultiModeRCPSPCalendar,
MultiModeRCPSPCalendar_Stochastic_Durations,
SchedulingObjectiveEnum,
SingleMode,
)
class D(MultiModeRCPSP):
pass
class MRCPSP(D):
def __init__(
self,
resource_names: List[str] = None,
task_ids: List[int] = None,
tasks_mode: Dict[int, Dict[int, Dict[str, int]]] = None,
successors: Dict[int, List[int]] = None,
max_horizon: int = None,
resource_availability: Dict[str, int] = None,
resource_renewable: Dict[str, bool] = None,
):
self.resource_names = resource_names
self.task_ids = task_ids
self.tasks_mode = tasks_mode
# transform the "mode_details" dict that we largely used in DO in the good format.
self.task_mode_dict = {}
self.duration_dict = {}
for task in self.tasks_mode:
self.task_mode_dict[task] = {}
self.duration_dict[task] = {}
for mode in self.tasks_mode[task]:
self.task_mode_dict[task][mode] = ConstantModeConsumption({})
for r in self.tasks_mode[task][mode]:
if r in self.resource_names:
self.task_mode_dict[task][mode].mode_details[r] = [
self.tasks_mode[task][mode][r]
]
self.duration_dict[task][mode] = self.tasks_mode[task][mode]["duration"]
self.successors = successors
self.max_horizon = max_horizon
self.resource_availability = resource_availability
self.resource_renewable = resource_renewable
self.initialize_domain()
def _get_tasks_modes(self) -> Dict[int, Dict[int, ModeConsumption]]:
return self.task_mode_dict
def _get_resource_renewability(self) -> Dict[str, bool]:
return self.resource_renewable
def _get_max_horizon(self) -> int:
return self.max_horizon
def _get_successors(self) -> Dict[int, List[int]]:
return self.successors
def _get_tasks_ids(self) -> Union[Set[int], Dict[int, Any], List[int]]:
return self.task_ids
def _get_task_duration(
self, task: int, mode: Optional[int] = 1, progress_from: Optional[float] = 0.0
) -> int:
return self.duration_dict[task][mode]
def _get_original_quantity_resource(self, resource: str, **kwargs) -> int:
return self.resource_availability[resource]
def _get_resource_types_names(self) -> List[str]:
return self.resource_names
def _get_objectives(self) -> List[int]:
return [SchedulingObjectiveEnum.MAKESPAN]
class D(MultiModeRCPSPCalendar):
pass
class MRCPSPCalendar(D):
def _get_quantity_resource(self, resource: str, time: int, **kwargs) -> int:
return self.resource_availability[resource][time]
def __init__(
self,
resource_names: List[str] = None,
task_ids: List[int] = None,
tasks_mode: Dict[int, Dict[int, Dict[str, int]]] = None,
successors: Dict[int, List[int]] = None,
max_horizon: int = None,
resource_availability: Dict[str, List[int]] = None,
resource_renewable: Dict[str, bool] = None,
):
self.resource_names = resource_names
self.task_ids = task_ids
self.tasks_mode = tasks_mode
# transform the "mode_details" dict that we largely used in DO in the good format.
self.task_mode_dict = {}
self.duration_dict = {}
for task in self.tasks_mode:
self.task_mode_dict[task] = {}
self.duration_dict[task] = {}
for mode in self.tasks_mode[task]:
self.task_mode_dict[task][mode] = ConstantModeConsumption({})
for r in self.tasks_mode[task][mode]:
if r in self.resource_names:
self.task_mode_dict[task][mode].mode_details[r] = [
self.tasks_mode[task][mode][r]
]
self.duration_dict[task][mode] = self.tasks_mode[task][mode]["duration"]
self.successors = successors
self.max_horizon = max_horizon
self.resource_availability = resource_availability
self.original_resource_availability = {
r: max(self.resource_availability[r]) for r in self.resource_availability
}
self.resource_renewable = resource_renewable
self.initialize_domain()
def _get_tasks_modes(self) -> Dict[int, Dict[int, ModeConsumption]]:
return self.task_mode_dict
def _get_resource_renewability(self) -> Dict[str, bool]:
return self.resource_renewable
def _get_max_horizon(self) -> int:
return self.max_horizon
def _get_successors(self) -> Dict[int, List[int]]:
return self.successors
def _get_tasks_ids(self) -> Union[Set[int], Dict[int, Any], List[int]]:
return self.task_ids
def _get_task_duration(
self, task: int, mode: Optional[int] = 1, progress_from: Optional[float] = 0.0
) -> int:
return self.duration_dict[task][mode]
def _get_original_quantity_resource(self, resource: str, **kwargs) -> int:
return self.original_resource_availability[resource]
def _get_resource_types_names(self) -> List[str]:
return self.resource_names
def _get_objectives(self) -> List[int]:
return [SchedulingObjectiveEnum.MAKESPAN]
class RCPSP(MRCPSP, SingleMode):
def __init__(
self,
resource_names: List[str] = None,
task_ids: List[int] = None,
tasks_mode: Dict[int, Dict[int, Dict[str, int]]] = None,
successors: Dict[int, List[int]] = None,
max_horizon: int = None,
resource_availability: Dict[str, int] = None,
resource_renewable: Dict[str, bool] = None,
):
MRCPSP.__init__(
self,
resource_names=resource_names,
task_ids=task_ids,
tasks_mode=tasks_mode,
successors=successors,
max_horizon=max_horizon,
resource_availability=resource_availability,
resource_renewable=resource_renewable,
)
self.tasks_modes_rcpsp = {
t: self.task_mode_dict[t][1] for t in self.task_mode_dict
}
def _get_tasks_mode(self) -> Dict[int, ModeConsumption]:
return self.tasks_modes_rcpsp
class RCPSPCalendar(MRCPSPCalendar, SingleMode):
def __init__(
self,
resource_names: List[str] = None,
task_ids: List[int] = None,
tasks_mode: Dict[int, Dict[int, Dict[str, int]]] = None,
successors: Dict[int, List[int]] = None,
max_horizon: int = None,
resource_availability: Dict[str, List[int]] = None,
resource_renewable: Dict[str, bool] = None,
):
MRCPSPCalendar.__init__(
self,
resource_names=resource_names,
task_ids=task_ids,
tasks_mode=tasks_mode,
successors=successors,
max_horizon=max_horizon,
resource_availability=resource_availability,
resource_renewable=resource_renewable,
)
self.tasks_modes_rcpsp = {
t: self.task_mode_dict[t][1] for t in self.task_mode_dict
}
def _get_tasks_mode(self) -> Dict[int, ModeConsumption]:
return self.tasks_modes_rcpsp
class Stochastic_RCPSP(MultiModeRCPSP_Stochastic_Durations):
def _get_max_horizon(self) -> int:
return self.max_horizon
def _get_objectives(self) -> List[SchedulingObjectiveEnum]:
return [SchedulingObjectiveEnum.MAKESPAN]
def _get_successors(self) -> Dict[int, List[int]]:
return self.successors
def _get_tasks_ids(self) -> Union[Set[int], Dict[int, Any], List[int]]:
return self.task_ids
def _get_tasks_modes(self) -> Dict[int, Dict[int, ModeConsumption]]:
return self.task_mode_dict
def _get_task_duration_distribution(
self,
task: int,
mode: Optional[int] = 1,
progress_from: Optional[float] = 0.0,
multivariate_settings: Optional[Dict[str, int]] = None,
) -> Distribution:
return self.duration_distribution[task][mode]
def _get_original_quantity_resource(self, resource: str, **kwargs) -> int:
return self.resource_availability[resource]
def _get_resource_types_names(self) -> List[str]:
return self.resource_names
def __init__(
self,
resource_names: List[str] = None,
task_ids: List[int] = None,
tasks_mode: Dict[int, Dict[int, ModeConsumption]] = None, # ressource
duration_distribution: Dict[int, Dict[int, DiscreteDistribution]] = None,
successors: Dict[int, List[int]] = None,
max_horizon: int = None,
resource_availability: Dict[str, int] = None,
resource_renewable: Dict[str, bool] = None,
):
self.resource_names = resource_names
self.task_ids = task_ids
self.tasks_mode = tasks_mode
# transform the "mode_details" dict that we largely used in DO in the good format.
self.task_mode_dict = self.tasks_mode
self.duration_distribution = duration_distribution
self.successors = successors
self.max_horizon = max_horizon
self.resource_availability = resource_availability
self.resource_renewable = resource_renewable
self.initialize_domain()
def build_stochastic_from_deterministic(rcpsp: MRCPSP, task_to_noise: Set[int] = None):
if task_to_noise is None:
task_to_noise = set(rcpsp.get_tasks_ids())
duration_distribution = {}
for task_id in rcpsp.get_tasks_ids():
duration_distribution[task_id] = {}
for mode in rcpsp.get_task_modes(task_id=task_id):
duration = rcpsp.get_task_duration(task=task_id, mode=mode)
if duration == 0 or task_id not in task_to_noise:
distrib = DiscreteDistribution(values=[(duration, 1)])
else:
n = 10
distrib = DiscreteDistribution(
values=[
(max(1, duration + i), 1 / (2 * n + 1))
for i in range(-n, n + 1)
]
)
duration_distribution[task_id][mode] = distrib
return Stochastic_RCPSP(
resource_names=rcpsp.get_resource_types_names(),
task_ids=rcpsp.get_tasks_ids(),
tasks_mode=rcpsp.get_tasks_modes(), # ressource
duration_distribution=duration_distribution,
successors=rcpsp.successors,
max_horizon=rcpsp.max_horizon * 2,
resource_availability=rcpsp.resource_availability,
resource_renewable=rcpsp.resource_renewable,
)
def build_n_determinist_from_stochastic(srcpsp: Stochastic_RCPSP, nb_instance: int):
instances = []
for i in range(nb_instance):
modes = srcpsp.get_tasks_modes()
modes_for_rcpsp = {
task: {
mode: {
r: modes[task][mode].get_resource_need_at_time(r, 0)
for r in modes[task][mode].get_ressource_names()
}
for mode in modes[task]
}
for task in modes
}
for t in modes_for_rcpsp:
for m in modes_for_rcpsp[t]:
duration = srcpsp.sample_task_duration(task=t, mode=m)
modes_for_rcpsp[t][m]["duration"] = duration
resource_availability_dict = {}
for r in srcpsp.get_resource_types_names():
resource_availability_dict[r] = srcpsp.get_original_quantity_resource(r)
instances += [
MRCPSP(
resource_names=srcpsp.get_resource_types_names(),
task_ids=srcpsp.get_tasks_ids(),
tasks_mode=modes_for_rcpsp, # ressource
successors=srcpsp.successors,
# max_horizon=srcpsp.max_horizon,
max_horizon=srcpsp.get_max_horizon(),
# resource_availability=srcpsp.resource_availability,
resource_availability=resource_availability_dict,
resource_renewable=srcpsp.get_resource_renewability()
# resource_renewable=srcpsp.resource_renewable
)
]
return instances
class D(MultiModeRCPSPCalendar_Stochastic_Durations):
pass
class SMRCPSPCalendar(D):
def _get_task_duration_distribution(
self,
task: int,
mode: Optional[int] = 1,
progress_from: Optional[float] = 0.0,
multivariate_settings: Optional[Dict[str, int]] = None,
) -> Distribution:
return self.duration_distribution[task][mode]
def _get_quantity_resource(self, resource: str, time: int, **kwargs) -> int:
return self.resource_availability[resource][time]
def __init__(
self,
resource_names: List[str] = None,
task_ids: List[int] = None,
tasks_mode: Dict[int, Dict[int, Dict[str, int]]] = None,
successors: Dict[int, List[int]] = None,
duration_distribution: Dict[int, Dict[int, DiscreteDistribution]] = None,
max_horizon: int = None,
resource_availability: Dict[str, List[int]] = None,
resource_renewable: Dict[str, bool] = None,
):
self.resource_names = resource_names
self.task_ids = task_ids
self.tasks_mode = tasks_mode
# transform the "mode_details" dict that we largely used in DO in the good format.
self.task_mode_dict = {}
self.duration_dict = {}
for task in self.tasks_mode:
self.task_mode_dict[task] = {}
self.duration_dict[task] = {}
for mode in self.tasks_mode[task]:
self.task_mode_dict[task][mode] = ConstantModeConsumption({})
for r in self.tasks_mode[task][mode]:
if r in self.resource_names:
self.task_mode_dict[task][mode].mode_details[r] = [
self.tasks_mode[task][mode][r]
]
self.duration_dict[task][mode] = self.tasks_mode[task][mode]["duration"]
self.successors = successors
self.max_horizon = max_horizon
self.resource_availability = resource_availability
self.resource_renewable = resource_renewable
self.duration_distribution = duration_distribution
self.initialize_domain()
def _get_tasks_modes(self) -> Dict[int, Dict[int, ModeConsumption]]:
return self.task_mode_dict
def _get_resource_renewability(self) -> Dict[str, bool]:
return self.resource_renewable
def _get_max_horizon(self) -> int:
return self.max_horizon
def _get_successors(self) -> Dict[int, List[int]]:
return self.successors
def _get_tasks_ids(self) -> Union[Set[int], Dict[int, Any], List[int]]:
return self.task_ids
def _get_task_duration(
self, task: int, mode: Optional[int] = 1, progress_from: Optional[float] = 0.0
) -> int:
return self.duration_dict[task][mode]
def _get_original_quantity_resource(self, resource: str, **kwargs) -> int:
# return self.resource_availability[resource]
return self.original_resource_availability[resource]
def _get_resource_types_names(self) -> List[str]:
return self.resource_names
def _get_objectives(self) -> List[int]:
return [SchedulingObjectiveEnum.MAKESPAN]
class D(MultiModeMultiSkillRCPSP):
pass
class MSRCPSP(D):
def __init__(
self,
skills_names: List[str] = None,
resource_unit_names: List[str] = None,
resource_type_names: List[str] = None,
resource_skills: Dict[str, Dict[str, Any]] = None,
task_ids: List[int] = None,
tasks_mode: Dict[int, Dict[int, Dict[str, int]]] = None,
successors: Dict[int, List[int]] = None,
max_horizon: int = None,
resource_availability: Dict[str, int] = None,
resource_renewable: Dict[str, bool] = None,
):
self.skills_set = set(skills_names)
self.resource_unit_names = resource_unit_names
self.resource_type_names = resource_type_names
self.resource_skills = resource_skills
self.task_ids = task_ids
self.tasks_mode = tasks_mode
# transform the "mode_details" dict that we largely used in DO in the good format.
self.task_mode_dict = {}
self.task_skills_dict = {}
self.duration_dict = {}
for task in self.tasks_mode:
self.task_mode_dict[task] = {}
self.task_skills_dict[task] = {}
self.duration_dict[task] = {}
for mode in self.tasks_mode[task]:
self.task_mode_dict[task][mode] = ConstantModeConsumption({})
self.task_skills_dict[task][mode] = {}
for r in self.tasks_mode[task][mode]:
if r in self.resource_type_names:
self.task_mode_dict[task][mode].mode_details[r] = [
self.tasks_mode[task][mode][r]
]
if r in self.skills_set:
self.task_skills_dict[task][mode][r] = self.tasks_mode[task][
mode
][r]
self.duration_dict[task][mode] = self.tasks_mode[task][mode]["duration"]
self.successors = successors
self.max_horizon = max_horizon
self.resource_availability = resource_availability
self.resource_renewable = resource_renewable
self.initialize_domain()
def _get_resource_units_names(self) -> List[str]:
"""Return the names (string) of all resource units as a list."""
return self.resource_unit_names
def _get_resource_types_names(self) -> List[str]:
return self.resource_type_names
def _get_resource_type_for_unit(self) -> Dict[str, str]:
"""Return a dictionary where the key is a resource unit name and the value a resource type name.
An empty dictionary can be used if there are no resource unit matching a resource type."""
return None
def get_max_horizon(self) -> int:
return self.max_horizon
def _get_tasks_modes(self) -> Dict[int, Dict[int, ModeConsumption]]:
return self.task_mode_dict
def _get_successors(self) -> Dict[int, List[int]]:
return self.successors
def _get_tasks_ids(self) -> Union[Set[int], Dict[int, Any], List[int]]:
return self.task_ids
def _get_task_duration(
self, task: int, mode: Optional[int] = 1, progress_from: Optional[float] = 0.0
) -> int:
return self.duration_dict[task][mode]
def _get_original_quantity_resource(self, resource: str, **kwargs) -> int:
return self.resource_availability[resource]
def _get_resource_renewability(self) -> Dict[str, bool]:
return self.resource_renewable
def _get_all_resources_skills(self) -> Dict[str, Dict[str, Any]]:
return self.resource_skills
def _get_all_tasks_skills(self) -> Dict[int, Dict[int, Dict[str, Any]]]:
return self.task_skills_dict
def _get_objectives(self) -> List[int]:
return [SchedulingObjectiveEnum.MAKESPAN]
class D(MultiModeMultiSkillRCPSPCalendar):
pass
class MSRCPSPCalendar(D):
def _get_max_horizon(self) -> int:
return self.max_horizon
def _get_quantity_resource(self, resource: str, time: int, **kwargs) -> int:
return self.resource_availability[resource][time]
def __init__(
self,
skills_names: List[str] = None,
resource_unit_names: List[str] = None,
resource_type_names: List[str] = None,
resource_skills: Dict[str, Dict[str, Any]] = None,
task_ids: List[int] = None,
tasks_mode: Dict[int, Dict[int, Dict[str, int]]] = None,
successors: Dict[int, List[int]] = None,
max_horizon: int = None,
resource_availability: Dict[str, List[int]] = None,
resource_renewable: Dict[str, bool] = None,
):
self.skills_set = set(skills_names)
self.resource_unit_names = resource_unit_names
self.resource_type_names = resource_type_names
self.resource_skills = resource_skills
self.task_ids = task_ids
self.tasks_mode = tasks_mode
# transform the "mode_details" dict that we largely used in DO in the good format.
self.task_mode_dict = {}
self.task_skills_dict = {}
self.duration_dict = {}
for task in self.tasks_mode:
self.task_mode_dict[task] = {}
self.task_skills_dict[task] = {}
self.duration_dict[task] = {}
for mode in self.tasks_mode[task]:
self.task_mode_dict[task][mode] = ConstantModeConsumption({})
self.task_skills_dict[task][mode] = {}
for r in self.tasks_mode[task][mode]:
if r in self.resource_type_names:
self.task_mode_dict[task][mode].mode_details[r] = [
self.tasks_mode[task][mode][r]
]
if r in self.skills_set:
self.task_skills_dict[task][mode][r] = self.tasks_mode[task][
mode
][r]
self.duration_dict[task][mode] = self.tasks_mode[task][mode]["duration"]
self.successors = successors
self.max_horizon = max_horizon
self.resource_availability = resource_availability
self.resource_renewable = resource_renewable
self.initialize_domain()
def _get_resource_units_names(self) -> List[str]:
"""Return the names (string) of all resource units as a list."""
return self.resource_unit_names
def _get_resource_types_names(self) -> List[str]:
return self.resource_type_names
def _get_resource_type_for_unit(self) -> Dict[str, str]:
"""Return a dictionary where the key is a resource unit name and the value a resource type name.
An empty dictionary can be used if there are no resource unit matching a resource type."""
return None
def get_max_horizon(self) -> int:
return self.max_horizon
def _get_tasks_modes(self) -> Dict[int, Dict[int, ModeConsumption]]:
return self.task_mode_dict
def _get_successors(self) -> Dict[int, List[int]]:
return self.successors
def _get_tasks_ids(self) -> Union[Set[int], Dict[int, Any], List[int]]:
return self.task_ids
def _get_task_duration(
self, task: int, mode: Optional[int] = 1, progress_from: Optional[float] = 0.0
) -> int:
return self.duration_dict[task][mode]
def _get_original_quantity_resource(self, resource: str, **kwargs) -> int:
return self.resource_availability[resource]
def _get_resource_renewability(self) -> Dict[str, bool]:
return self.resource_renewable
def _get_all_resources_skills(self) -> Dict[str, Dict[str, Any]]:
return self.resource_skills
def _get_all_tasks_skills(self) -> Dict[int, Dict[int, Dict[str, Any]]]:
return self.task_skills_dict
def _get_objectives(self) -> List[int]:
return [SchedulingObjectiveEnum.MAKESPAN]
if __name__ == "__main__":
from skdecide.hub.domain.rcpsp.rcpsp_sk_parser import load_domain
domain = load_domain()
state = domain.get_initial_state()
print("Initial state : ", state)
actions = domain.get_applicable_actions(state)
print([str(action) for action in actions.get_elements()])
action = actions.get_elements()[0]
new_state = domain.get_next_state(state, action)
print("New state ", new_state)
actions = domain.get_applicable_actions(new_state)
print("New actions : ", [str(action) for action in actions.get_elements()])
action = actions.get_elements()[0]
print(action)
new_state = domain.get_next_state(new_state, action)
print("New state :", new_state)
print("_is_terminal: ", domain._is_terminal(state))
| 37.920368 | 104 | 0.634036 | 2,970 | 24,762 | 5.011785 | 0.057912 | 0.041384 | 0.029694 | 0.033322 | 0.825865 | 0.810682 | 0.788176 | 0.783876 | 0.776621 | 0.776621 | 0 | 0.001987 | 0.268274 | 24,762 | 652 | 105 | 37.978528 | 0.819526 | 0.053792 | 0 | 0.76381 | 0 | 0 | 0.005176 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.148571 | false | 0.009524 | 0.011429 | 0.121905 | 0.318095 | 0.013333 | 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 | 1 | 0 | 0 | 0 | 8 |
2be7ee7dbce717ad4408fd9e6ad00a8e62ec5ebf | 290 | py | Python | irflow_client/__init__.py | Syncurity/irflow-sdk-python | 26359afb93ac870dde2e13ee7b6ce675eb2b09d8 | [
"Apache-2.0"
] | 1 | 2018-10-23T05:31:07.000Z | 2018-10-23T05:31:07.000Z | irflow_client/__init__.py | Syncurity/irflow-sdk-python | 26359afb93ac870dde2e13ee7b6ce675eb2b09d8 | [
"Apache-2.0"
] | 9 | 2018-10-23T05:05:51.000Z | 2020-03-24T16:43:07.000Z | irflow_client/__init__.py | Syncurity/irflow-sdk-python | 26359afb93ac870dde2e13ee7b6ce675eb2b09d8 | [
"Apache-2.0"
] | null | null | null | """In order to make the IRFlowApi Class available globally we need the below input statement
TODO Determine if we should call irflow_api.py irflow_client.py"""
try:
from irflow_client.irflow_client import IRFlowClient
except ImportError:
from irflow_client import IRFlowClient
| 36.25 | 92 | 0.8 | 42 | 290 | 5.404762 | 0.690476 | 0.211454 | 0.140969 | 0.264317 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162069 | 290 | 7 | 93 | 41.428571 | 0.934156 | 0.527586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 0 | 1 | 0 | true | 0 | 0.75 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 1 | 0 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
92025d2ea7666a90c6ae512df6fa7ace446efbc9 | 3,655 | py | Python | herders/migrations/0004_auto_20190516_1304.py | Itori/swarfarm | 7192e2d8bca093b4254023bbec42b6a2b1887547 | [
"Apache-2.0"
] | 66 | 2017-09-11T04:46:00.000Z | 2021-03-13T00:02:42.000Z | herders/migrations/0004_auto_20190516_1304.py | Itori/swarfarm | 7192e2d8bca093b4254023bbec42b6a2b1887547 | [
"Apache-2.0"
] | 133 | 2017-09-24T21:28:59.000Z | 2021-04-02T10:35:31.000Z | herders/migrations/0004_auto_20190516_1304.py | Itori/swarfarm | 7192e2d8bca093b4254023bbec42b6a2b1887547 | [
"Apache-2.0"
] | 28 | 2017-08-30T19:04:32.000Z | 2020-11-16T04:09:00.000Z | # Generated by Django 2.1.7 on 2019-05-16 20:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('herders', '0003_auto_20190213_1224'),
]
operations = [
migrations.AddField(
model_name='storage',
name='dark_angelmon',
field=models.IntegerField(default=0, help_text='Dark Angelmon'),
),
migrations.AddField(
model_name='storage',
name='dark_king_angelmon',
field=models.IntegerField(default=0, help_text='Dark King Angelmon'),
),
migrations.AddField(
model_name='storage',
name='devilmon',
field=models.IntegerField(default=0, help_text='Devilmon'),
),
migrations.AddField(
model_name='storage',
name='fire_angelmon',
field=models.IntegerField(default=0, help_text='Fire Angelmon'),
),
migrations.AddField(
model_name='storage',
name='fire_king_angelmon',
field=models.IntegerField(default=0, help_text='Fire King Angelmon'),
),
migrations.AddField(
model_name='storage',
name='light_angelmon',
field=models.IntegerField(default=0, help_text='Light Angelmon'),
),
migrations.AddField(
model_name='storage',
name='light_king_angelmon',
field=models.IntegerField(default=0, help_text='Light King Angelmon'),
),
migrations.AddField(
model_name='storage',
name='rainbowmon_2_20',
field=models.IntegerField(default=0, help_text='Rainbowmon 2⭐ lv.20'),
),
migrations.AddField(
model_name='storage',
name='rainbowmon_3_1',
field=models.IntegerField(default=0, help_text='Rainbowmon 3⭐ lv.1'),
),
migrations.AddField(
model_name='storage',
name='rainbowmon_3_25',
field=models.IntegerField(default=0, help_text='Rainbowmon 3⭐ lv.25'),
),
migrations.AddField(
model_name='storage',
name='rainbowmon_4_1',
field=models.IntegerField(default=0, help_text='Rainbowmon 4⭐ lv.1'),
),
migrations.AddField(
model_name='storage',
name='rainbowmon_4_30',
field=models.IntegerField(default=0, help_text='Rainbowmon 4⭐ lv.30'),
),
migrations.AddField(
model_name='storage',
name='rainbowmon_5_1',
field=models.IntegerField(default=0, help_text='Rainbowmon 5⭐ lv.1'),
),
migrations.AddField(
model_name='storage',
name='super_angelmon',
field=models.IntegerField(default=0, help_text='Super Angelmon'),
),
migrations.AddField(
model_name='storage',
name='water_angelmon',
field=models.IntegerField(default=0, help_text='Water Angelmon'),
),
migrations.AddField(
model_name='storage',
name='water_king_angelmon',
field=models.IntegerField(default=0, help_text='Water King Angelmon'),
),
migrations.AddField(
model_name='storage',
name='wind_angelmon',
field=models.IntegerField(default=0, help_text='Wind Angelmon'),
),
migrations.AddField(
model_name='storage',
name='wind_king_angelmon',
field=models.IntegerField(default=0, help_text='Wind King Angelmon'),
),
]
| 35.144231 | 82 | 0.573187 | 367 | 3,655 | 5.542234 | 0.144414 | 0.159292 | 0.20354 | 0.238938 | 0.89823 | 0.89823 | 0.89823 | 0.760079 | 0.46116 | 0.152409 | 0 | 0.031238 | 0.308071 | 3,655 | 103 | 83 | 35.485437 | 0.77066 | 0.012312 | 0 | 0.556701 | 1 | 0 | 0.198448 | 0.006375 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.010309 | 0 | 0.041237 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a6056b9aae5ba2ae85e385d857f5daaee61a7baf | 15,359 | py | Python | play_various_walking.py | wpumacay/bipedal-robot-walking-simulation | 9abcdf8ba7d07c3f32ffbeb0a65682f74970d217 | [
"MIT"
] | 103 | 2018-10-23T16:33:08.000Z | 2022-01-19T03:42:18.000Z | play_various_walking.py | wpumacay/bipedal-robot-walking-simulation | 9abcdf8ba7d07c3f32ffbeb0a65682f74970d217 | [
"MIT"
] | null | null | null | play_various_walking.py | wpumacay/bipedal-robot-walking-simulation | 9abcdf8ba7d07c3f32ffbeb0a65682f74970d217 | [
"MIT"
] | 26 | 2018-10-23T18:28:14.000Z | 2021-10-30T15:35:28.000Z | """
bipedal robot walking simulation
by Einsbon (Sunbin Kim)
- GitHub: https://github.com/Einsbon
- Youtube: https://www.youtube.com/channel/UCt7FZ-8uzV_jHJiKp3NlHvg
- Blog: https://blog.naver.com/einsbon
"""
import pybullet as p
import time
from time import sleep
import pybullet_data
import numpy as np
import math
import os
import motorController
import walkGenerator
# motor setting
motor_kp = 0.5
motor_kd = 0.5
motor_torque = 1.5
motor_max_velocity = 5.0
# physics parameter setting
fixedTimeStep = 1./1000
numSolverIterations = 200
physicsClient = p.connect(p.GUI)
p.setTimeStep(fixedTimeStep)
p.setPhysicsEngineParameter(numSolverIterations=numSolverIterations)
p.setAdditionalSearchPath(pybullet_data.getDataPath()) # to load plane.urdf
p.setGravity(0, 0, 0)
p.resetDebugVisualizerCamera(cameraDistance=1, cameraYaw=10, cameraPitch=-5, cameraTargetPosition=[0.3, 0.5, 0.1])
# samurai.urdf plane.urdf
planeId = p.loadSDF('stadium.sdf')
robot = p.loadURDF(os.path.abspath(os.path.dirname(__file__))+'/humanoid_leg_12dof.7.urdf', [0, 0, 0.05],
p.getQuaternionFromEuler([0, 0, 0]), useFixedBase=False)
controller = motorController.MotorController(
robot, physicsClient, fixedTimeStep, motor_kp, motor_kd, motor_torque, motor_max_velocity)
walk = walkGenerator.WalkGenerator()
walk.setWalkParameter(bodyMovePoint=8, legMovePoint=8, h=50, l=90, sit=40, swayBody=45, swayFoot=0,
bodyPositionXPlus=5, swayShift=3, weightStart=0.4, weightEnd=0.6, stepTime=0.06, damping=0.0, incline=0.0)
walk.generate()
walk.inverseKinematicsAll()
actionTime = walk._stepTime
p.setGravity(0, 0, -9.8)
p.setRealTimeSimulation(0)
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[0], 1, 0)
waitTime = 1
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
# time.sleep(fixedTimeStep)
p.setGravity(0, 0, -9.8)
# walk 8 steps
# start walking. right foot step
for i in range(np.size(walk.walkPointStartRightInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[i], actionTime, 0)
for i in range(2):
# left foot step
for i in range(np.size(walk.walkPointLeftStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointLeftStepInverse[i], actionTime, 0)
# right foot step
for i in range(np.size(walk.walkPointRightStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointRightStepInverse[i], actionTime, 0)
# end walking. left
for i in range(np.size(walk.walkPointEndLeftInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointEndLeftInverse[i], actionTime, 0)
# rest 2 seconds
waitTime = 2
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
########################################################
p.resetBasePositionAndOrientation(robot, [0, 0, 0], p.getQuaternionFromEuler([0, 0, 0]))
walk.setWalkParameter(bodyMovePoint=8, legMovePoint=8, h=50, l=90, sit=70, swayBody=45, swayFoot=0,
bodyPositionXPlus=5, swayShift=3, weightStart=0.4, weightEnd=0.6, stepTime=0.06, damping=0.0, incline=0.0)
walk.generate()
walk.inverseKinematicsAll()
actionTime = walk._stepTime
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[0], 2, 0)
waitTime = 1
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
p.setGravity(0, 0, -9.8)
for i in range(np.size(walk.walkPointStartRightInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[i], actionTime, 0)
for i in range(2):
for i in range(np.size(walk.walkPointLeftStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointLeftStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointRightStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointRightStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointEndLeftInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointEndLeftInverse[i], actionTime, 0)
waitTime = 2
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
########################################################
p.resetBasePositionAndOrientation(robot, [0, 0, 0], p.getQuaternionFromEuler([0, 0, 0]))
walk.setWalkParameter(bodyMovePoint=8, legMovePoint=8, h=20, l=40, sit=40, swayBody=30, swayFoot=0,
bodyPositionXPlus=5, swayShift=3, weightStart=0.4, weightEnd=0.6, stepTime=0.03, damping=0.0, incline=0.0)
walk.generate()
walk.inverseKinematicsAll()
actionTime = walk._stepTime
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[0], 2, 0)
waitTime = 1
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
for i in range(np.size(walk.walkPointStartRightInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[i], actionTime, 0)
for i in range(2):
for i in range(np.size(walk.walkPointLeftStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointLeftStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointRightStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointRightStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointEndLeftInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointEndLeftInverse[i], actionTime, 0)
waitTime = 2
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
########################################################
p.resetBasePositionAndOrientation(robot, [0, 0, 0], p.getQuaternionFromEuler([0, 0, 0]))
walk.setWalkParameter(bodyMovePoint=8, legMovePoint=8, h=50, l=140, sit=40, swayBody=50, swayFoot=0,
bodyPositionXPlus=-2, swayShift=3, weightStart=0.4, weightEnd=0.6, stepTime=0.12, damping=0.0, incline=0.0)
walk.generate()
walk.inverseKinematicsAll()
actionTime = walk._stepTime
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[0], 2, 0)
waitTime = 1
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
for i in range(np.size(walk.walkPointStartRightInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[i], actionTime, 0)
for i in range(2):
for i in range(np.size(walk.walkPointLeftStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointLeftStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointRightStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointRightStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointEndLeftInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointEndLeftInverse[i], actionTime, 0)
waitTime = 2
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
########################################################
p.resetBasePositionAndOrientation(robot, [0, 0, 0], p.getQuaternionFromEuler([0, 0, 0]))
walk.setWalkParameter(bodyMovePoint=8, legMovePoint=8, h=40, l=70, sit=40, swayBody=45, swayFoot=0,
bodyPositionXPlus=-40, swayShift=3, weightStart=0.4, weightEnd=0.6, stepTime=0.06, damping=0.0, incline=0.0)
walk.generate()
walk.inverseKinematicsAll()
actionTime = walk._stepTime
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[0], 2, 0)
waitTime = 1
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
for i in range(np.size(walk.walkPointStartRightInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[i], actionTime, 0)
for i in range(2):
for i in range(np.size(walk.walkPointLeftStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointLeftStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointRightStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointRightStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointEndLeftInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointEndLeftInverse[i], actionTime, 0)
waitTime = 2
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
########################################################
p.resetBasePositionAndOrientation(robot, [0, 0, 0.], p.getQuaternionFromEuler([0, 0, 0]))
walk.setWalkParameter(bodyMovePoint=8, legMovePoint=8, h=50, l=-90, sit=40, swayBody=45, swayFoot=0,
bodyPositionXPlus=0, swayShift=3, weightStart=0.4, weightEnd=0.6, stepTime=0.06, damping=0.0, incline=0.0)
walk.generate()
walk.inverseKinematicsAll()
actionTime = walk._stepTime
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[0], 2, 0)
waitTime = 1
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
for i in range(np.size(walk.walkPointStartRightInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[i], actionTime, 0)
for i in range(2): # repeat twice
# left foot step
for i in range(np.size(walk.walkPointLeftStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointLeftStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointRightStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointRightStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointEndLeftInverse, 0)):
controller.setMotorsAngleInFixedTimestep(walk.walkPointEndLeftInverse[i], actionTime, 0)
waitTime = 2
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
########################################################
p.resetBasePositionAndOrientation(robot, [0, 0, 0], p.getQuaternionFromEuler([0, 0, 0]))
walk.setWalkParameter(bodyMovePoint=8, legMovePoint=8, h=50, l=0, sit=40, swayBody=45, swayFoot=0,
bodyPositionXPlus=5, swayShift=3, weightStart=0.4, weightEnd=0.6, stepTime=0.06, damping=0.0, incline=0.0)
walk.generate()
walk.inverseKinematicsAll()
actionTime = walk._stepTime
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[0], 2, 0)
waitTime = 1
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
# Turn function is not accurate yet.
for i in range(np.size(walk.walkPointStartRightInverse, 0)):
controller.setMotorsAngleInFixedTimestep(
walk.walkPointStartRightInverse[i]+walk.turnListUnfold[i]*0.3, actionTime, 0)
for i in range(3):
for i in range(np.size(walk.walkPointLeftStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(
walk.walkPointLeftStepInverse[i]+walk.turnListFold[i]*0.3, actionTime, 0)
for i in range(np.size(walk.walkPointRightStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(
walk.walkPointRightStepInverse[i]+walk.turnListUnfold[i]*0.3, actionTime, 0)
for i in range(np.size(walk.walkPointEndLeftInverse, 0)):
controller.setMotorsAngleInFixedTimestep(
walk.walkPointEndLeftInverse[i]+walk.turnListFold[i]*0.3, actionTime, 0)
waitTime = 2
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
########################################################
p.resetBasePositionAndOrientation(robot, [0, 0, 0.0], p.getQuaternionFromEuler([0, 0, 0]))
walk.setWalkParameter(bodyMovePoint=8, legMovePoint=8, h=50, l=90, sit=40, swayBody=35, swayFoot=0,
bodyPositionXPlus=5, swayShift=3, weightStart=0.4, weightEnd=0.6, stepTime=0.06, damping=0.0, incline=0.0)
walk.generate()
walk.inverseKinematicsAll()
actionTime = walk._stepTime
controller.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[0], 2, 0)
waitTime = 1
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
for i in range(np.size(walk.walkPointStartRightInverse, 0)):
controller.setMotorsAngleInFixedTimestep(
walk.walkPointStartRightInverse[i]+walk.turnListUnfold[i]*0.3, actionTime, 0)
for i in range(3):
for i in range(np.size(walk.walkPointLeftStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(
walk.walkPointLeftStepInverse[i]+walk.turnListFold[i]*0.3, actionTime, 0)
for i in range(np.size(walk.walkPointRightStepInverse, 0)):
controller.setMotorsAngleInFixedTimestep(
walk.walkPointRightStepInverse[i]+walk.turnListUnfold[i]*0.3, actionTime, 0)
for i in range(np.size(walk.walkPointEndLeftInverse, 0)):
controller.setMotorsAngleInFixedTimestep(
walk.walkPointEndLeftInverse[i]+walk.turnListFold[i]*0.3, actionTime, 0)
########################################################
fixedTimeStep = 1/500
p.setTimeStep(fixedTimeStep)
giantRobot = p.loadURDF(os.path.abspath(os.path.dirname(__file__))+'/humanoid_leg_12dof.7.urdf',
[-4.9, -0.2, 0.01], p.getQuaternionFromEuler([0, 0, 0]), useFixedBase=False, globalScaling=10)
waitTime = 2
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
for i in range(p.getNumJoints(giantRobot)):
p.changeDynamics(giantRobot, i, lateralFriction=5)
controller2 = motorController.MotorController(
giantRobot, physicsClient, fixedTimeStep, motor_kp, motor_kd, 50, motor_max_velocity)
walk.setWalkParameter(bodyMovePoint=8, legMovePoint=8, h=50, l=90, sit=30, swayBody=35, swayFoot=0,
bodyPositionXPlus=5, swayShift=3, weightStart=0.4, weightEnd=0.6, stepTime=0.08, damping=0.0, incline=0.0)
walk.generate()
walk.inverseKinematicsAll()
actionTime = walk._stepTime
controller2.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[0], 4, 0)
waitTime = 1
repeatTime = int(waitTime/fixedTimeStep)
for _ in range(repeatTime):
p.stepSimulation()
for i in range(np.size(walk.walkPointStartRightInverse, 0)):
controller2.setMotorsAngleInFixedTimestep(walk.walkPointStartRightInverse[i], actionTime, 0)
for i in range(2):
for i in range(np.size(walk.walkPointLeftStepInverse, 0)):
controller2.setMotorsAngleInFixedTimestep(walk.walkPointLeftStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointRightStepInverse, 0)):
controller2.setMotorsAngleInFixedTimestep(walk.walkPointRightStepInverse[i], actionTime, 0)
for i in range(np.size(walk.walkPointEndLeftInverse, 0)):
controller2.setMotorsAngleInFixedTimestep(walk.walkPointEndLeftInverse[i], actionTime, 0)
controller2.setMotorsAngleInFixedTimestep(walk.inverseKinematicsPoint([-10, -50, 30], [-10, -50, 30]), 1, 0.5)
controller2.setMotorsAngleInFixedTimestep(walk.inverseKinematicsPoint([-80, -50, 50], [-10, -50, 30]), 1.5, 0.5)
controller2.setMotorsAngleInFixedTimestep(walk.inverseKinematicsPoint([-10, -50, 40], [0, -50, 30]), 0.4, 0)
controller2.setMotorsAngleInFixedTimestep(walk.inverseKinematicsPoint([60, -40, 40], [0, -40, 30]), 0.2, 3)
controller2.setMotorsAngleInFixedTimestep(walk.inverseKinematicsPoint([0, -40, 45], [0, -40, 30]), 1, 0)
controller2.setMotorsAngleInFixedTimestep(walk.inverseKinematicsPoint([0, 0, 10], [0, 0, 10]), 0.5, 50)
| 42.78273 | 130 | 0.736506 | 1,754 | 15,359 | 6.417902 | 0.096921 | 0.039176 | 0.024518 | 0.04495 | 0.870125 | 0.845874 | 0.810163 | 0.798881 | 0.798881 | 0.798881 | 0 | 0.042503 | 0.117651 | 15,359 | 358 | 131 | 42.902235 | 0.788149 | 0.031512 | 0 | 0.764259 | 0 | 0 | 0.004373 | 0.00361 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.034221 | 0 | 0.034221 | 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 |
a6a61b583837ac5ade8a8de8492d2c75541e8a98 | 2,970 | py | Python | .spyder-py3/history.py | evandadure/polychess_henaff | 92bb14973f9ff7919cafe4d3a323688c6dea5b7d | [
"MIT"
] | null | null | null | .spyder-py3/history.py | evandadure/polychess_henaff | 92bb14973f9ff7919cafe4d3a323688c6dea5b7d | [
"MIT"
] | null | null | null | .spyder-py3/history.py | evandadure/polychess_henaff | 92bb14973f9ff7919cafe4d3a323688c6dea5b7d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# *** Spyder Python Console History Log ***
pip install python-chess
install python-chess
runfile('E:/Downloads/polychess-master/polychess-master/polychess.py', wdir='E:/Downloads/polychess-master/polychess-master')
board.legal_moves
list(board.legal_moves)
list(board.legal_moves)[0]
print(list(board.legal_moves)[0])
board.turn
reader.find_all(board)
board
list(board.legal_moves)
list(board.legal_moves)[0]
board.push(chess.Move.from_uci(chess.Move.uci(list(board.legal_moves)[0])))
board
board.pop()
board
board.push(chess.Move.from_uci(chess.Move.uci(list(board.legal_moves)[0])))
board
board.pop()
board
board.push(chess.Move.from_uci(chess.Move.uci(list(board.legal_moves)[0])))
board
board.pop()
board
board.push(chess.Move.from_uci(chess.Move.uci(list(board.legal_moves)[0])))
board
board.pop()
board
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
%clear
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
board
board2
getBoardEval(board2.FEN())
runfile('E:/Cours/ProjChess/polychess_henaff/evaluation.py', wdir='E:/Cours/ProjChess/polychess_henaff')
getBoardEval(board2.FEN())
getBoardEval(board2.fen())
minMax(board2)
minMax(board2, 1)
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
minMax(board2, 1)
minMax(board2, 3)
minMax(board2, 1)
minMax(board2, 2)
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
%clear
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
board
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
debugfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
board2.legal_moves
board2.legal_moves()
print(board2.legal_moves())
list(board.legal_moves)
list(board2.legal_moves)
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
board2
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
board2
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
board1
runfile('E:/Cours/ProjChess/polychess_henaff/minMax.py', wdir='E:/Cours/ProjChess/polychess_henaff')
%clear
runfile('E:/Cours/ProjChess/polychess_henaff/polychess.py', wdir='E:/Cours/ProjChess/polychess_henaff')
%clear
runfile('E:/Cours/ProjChess/polychess_henaff/polychess.py', wdir='E:/Cours/ProjChess/polychess_henaff')
chess.pgn.Game.from_board(board)
runfile('E:/Cours/ProjChess/polychess_henaff/polychess.py', wdir='E:/Cours/ProjChess/polychess_henaff')
runfile('E:/Cours/ProjChess/polychess_henaff/lichess.py', wdir='E:/Cours/ProjChess/polychess_henaff') | 41.25 | 125 | 0.793266 | 435 | 2,970 | 5.289655 | 0.114943 | 0.088657 | 0.221643 | 0.354628 | 0.854846 | 0.835724 | 0.771404 | 0.71708 | 0.71708 | 0.683181 | 0 | 0.010482 | 0.036364 | 2,970 | 72 | 126 | 41.25 | 0.793501 | 0.021212 | 0 | 0.714286 | 0 | 0 | 0.509122 | 0.509122 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.028571 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
a6fafe14a2953a024b22608704e01da375618561 | 7,435 | py | Python | cifra/tests/test_console_parser.py | dante-signal31/cifra | 3914822ec49cd238fe31fd58424fa2b058116b9a | [
"BSD-3-Clause"
] | null | null | null | cifra/tests/test_console_parser.py | dante-signal31/cifra | 3914822ec49cd238fe31fd58424fa2b058116b9a | [
"BSD-3-Clause"
] | null | null | null | cifra/tests/test_console_parser.py | dante-signal31/cifra | 3914822ec49cd238fe31fd58424fa2b058116b9a | [
"BSD-3-Clause"
] | null | null | null | """
Tests for argument parsing at launcher.
"""
import tempfile
import pytest
import cifra.cifra_launcher as cifra_launcher
from typing import Dict
def _assert_dict_key(key: str, value: str, _dict: Dict[str, str]):
assert key in _dict
assert _dict[key] == value
@pytest.mark.quick_test
def test_launcher_create_dictionary():
provided_args = "dictionary create klingon".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "dictionary")
_assert("action", "create")
_assert("dictionary_name", "klingon")
@pytest.mark.quick_test
def test_launcher_create_dictionary_with_initial_file():
with tempfile.NamedTemporaryFile() as output_file:
provided_args = f"dictionary create klingon --initial_words_file {output_file.name}".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "dictionary")
_assert("action", "create")
_assert("dictionary_name", "klingon")
_assert("initial_words_file", f"{output_file.name}")
@pytest.mark.quick_test
def test_launcher_create_dictionary_with_not_existing_initial_file():
with pytest.raises(BaseException):
provided_args = "dictionary create klingon --initial_words_file klingon_novel.txt".split()
_: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
@pytest.mark.quick_test
def test_launcher_delete_dictionary():
provided_args = "dictionary delete klingon".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "dictionary")
_assert("action", "delete")
_assert("dictionary_name", "klingon")
@pytest.mark.quick_test
def test_launcher_update_dictionary():
with tempfile.NamedTemporaryFile() as words_file:
provided_args = f"dictionary update klingon {words_file.name}".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "dictionary")
_assert("action", "update")
_assert("dictionary_name", "klingon")
_assert("words_file", f"{words_file.name}")
@pytest.mark.quick_test
def test_launcher_cipher_caesar():
with tempfile.NamedTemporaryFile() as message_file:
provided_args = f"cipher caesar 3 {message_file.name}".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "cipher")
_assert("algorithm", "caesar")
_assert("key", "3")
_assert("file_to_cipher", f"{message_file.name}")
assert "ciphered_file" not in parsed_arguments.keys()
@pytest.mark.quick_test
def test_launcher_cipher_caesar_with_output_file():
with tempfile.NamedTemporaryFile() as message_file:
provided_args = f"cipher caesar 3 {message_file.name} --ciphered_file ciphered_message.txt".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "cipher")
_assert("algorithm", "caesar")
_assert("key", "3")
_assert("file_to_cipher", f"{message_file.name}")
_assert("ciphered_file", "ciphered_message.txt")
@pytest.mark.quick_test
def test_launcher_incorrect_cipher_algorithm():
with tempfile.NamedTemporaryFile() as message_file:
provided_args = f"cipher augustus 3 {message_file.name} --ciphered_file ciphered_message.txt".split()
with pytest.raises(BaseException):
_: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
@pytest.mark.quick_test
def test_launcher_decipher_caesar():
with tempfile.NamedTemporaryFile() as message_file:
provided_args = f"decipher caesar 3 {message_file.name}".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "decipher")
_assert("algorithm", "caesar")
_assert("key", "3")
_assert("file_to_decipher", f"{message_file.name}")
assert "deciphered_file" not in parsed_arguments.keys()
@pytest.mark.quick_test
def test_launcher_decipher_caesar_with_output_file():
with tempfile.NamedTemporaryFile() as message_file:
provided_args = f"decipher caesar 3 {message_file.name} --deciphered_file deciphered_message.txt".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "decipher")
_assert("algorithm", "caesar")
_assert("key", "3")
_assert("file_to_decipher", f"{message_file.name}")
_assert("deciphered_file", "deciphered_message.txt")
@pytest.mark.quick_test
def test_launcher_incorrect_decipher_algorithm():
with tempfile.NamedTemporaryFile() as message_file:
provided_args = f"decipher augustus 3 {message_file.name} --deciphered_file deciphered_message.txt".split()
with pytest.raises(BaseException):
_: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
@pytest.mark.quick_test
def test_launcher_attack_caesar():
with tempfile.NamedTemporaryFile() as message_file:
provided_args = f"attack caesar {message_file.name} --deciphered_file recovered_message.txt".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "attack")
_assert("algorithm", "caesar")
_assert("file_to_attack", f"{message_file.name}")
_assert("deciphered_file", "recovered_message.txt")
assert "charset" not in parsed_arguments.keys()
@pytest.mark.quick_test
def test_launcher_attack_caesar_with_charset():
with tempfile.NamedTemporaryFile() as message_file:
provided_args = f"attack caesar {message_file.name} --deciphered_file recovered_message.txt " \
"--charset abcdefghijklmnñopqrstuvwxyz".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "attack")
_assert("algorithm", "caesar")
_assert("file_to_attack", f"{message_file.name}")
_assert("deciphered_file", "recovered_message.txt")
_assert("charset", "abcdefghijklmnñopqrstuvwxyz")
@pytest.mark.quick_test
def test_launcher_list_dictionaries():
provided_args = "dictionary list".split()
parsed_arguments: Dict[str, str] = cifra_launcher.parse_arguments(provided_args)
def _assert(key, value): return _assert_dict_key(key, value, parsed_arguments)
_assert("mode", "dictionary")
_assert("action", "list")
| 43.735294 | 115 | 0.723336 | 906 | 7,435 | 5.575055 | 0.076159 | 0.066521 | 0.029697 | 0.052663 | 0.885567 | 0.847357 | 0.831914 | 0.825183 | 0.825183 | 0.812116 | 0 | 0.001607 | 0.163013 | 7,435 | 169 | 116 | 43.994083 | 0.810059 | 0.005245 | 0 | 0.634328 | 0 | 0 | 0.224553 | 0.027612 | 0 | 0 | 0 | 0 | 0.447761 | 1 | 0.19403 | false | 0 | 0.029851 | 0.08209 | 0.223881 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
47267c5df30d85a7dcabcf5f248f2f8f06c5d54d | 3,445 | py | Python | models/classifier_models.py | ruanyyyyyyy/text2shape | 276379df22ffdbe4cb54f30a88d65cf87bf53243 | [
"Apache-2.0"
] | 72 | 2018-03-27T13:45:09.000Z | 2022-03-16T03:04:02.000Z | models/classifier_models.py | ruanyyyyyyy/text2shape | 276379df22ffdbe4cb54f30a88d65cf87bf53243 | [
"Apache-2.0"
] | 9 | 2018-05-30T04:05:50.000Z | 2020-12-02T01:19:01.000Z | models/classifier_models.py | ruanyyyyyyy/text2shape | 276379df22ffdbe4cb54f30a88d65cf87bf53243 | [
"Apache-2.0"
] | 23 | 2018-03-26T21:35:09.000Z | 2022-02-24T17:39:58.000Z | from lib.classifier import Classifier
import lib.layers as layers
import tensorflow as tf
class Classifier1(Classifier):
def __init__(self, inputs_dict, is_training, reuse=False, name='classifier_1'):
super(Classifier1, self).__init__(inputs_dict, is_training, reuse=reuse, name=name)
def build_architecture(self):
num_classes = self.num_classes
x = self.placeholders['shape_batch']
x = layers.conv3d(x, 64, 3, strides=2, padding='same', name='conv1', reuse=self.reuse)
x = tf.layers.batch_normalization(x, training=self.is_training, name='conv1_batch_norm',
reuse=self.reuse)
x = layers.relu(x, name='conv1_relu')
x = layers.conv3d(x, 128, 3, strides=2, padding='same', name='conv2', reuse=self.reuse)
x = tf.layers.batch_normalization(x, training=self.is_training, name='conv2_batch_norm',
reuse=self.reuse)
x = layers.relu(x, name='conv2_relu')
x = layers.conv3d(x, 256, 3, strides=2, padding='same', name='conv3', reuse=self.reuse)
x = tf.layers.batch_normalization(x, training=self.is_training, name='conv3_batch_norm',
reuse=self.reuse)
x = layers.relu(x, name='conv3_relu')
x = layers.avg_pooling3d(x, name='avg_pool4')
encoder_output = x
x = layers.dense(x, num_classes, name='fc5', reuse=self.reuse)
prob = layers.softmax(x, name='softmax_layer')
output_dict = {
'logits': x,
'probabilities': prob,
'encoder_output': encoder_output,
}
return output_dict
class Classifier128(Classifier):
"""Classifier with 128 dim embeddings.
"""
def __init__(self, inputs_dict, is_training, reuse=False, name='classifier_128'):
super(Classifier128, self).__init__(inputs_dict, is_training, reuse=reuse, name=name)
def build_architecture(self):
x = self.placeholders['shape_batch']
num_classes = self.num_classes # Chair/table classification
x = layers.conv3d(x, 64, 3, strides=2, padding='same', name='conv1', reuse=self.reuse)
x = tf.layers.batch_normalization(x, training=self.is_training, name='conv1_batch_norm',
reuse=self.reuse)
x = layers.relu(x, name='conv1_relu')
x = layers.conv3d(x, 128, 3, strides=2, padding='same', name='conv2', reuse=self.reuse)
x = tf.layers.batch_normalization(x, training=self.is_training, name='conv2_batch_norm',
reuse=self.reuse)
x = layers.relu(x, name='conv2_relu')
x = layers.conv3d(x, 256, 3, strides=2, padding='same', name='conv3', reuse=self.reuse)
x = tf.layers.batch_normalization(x, training=self.is_training, name='conv3_batch_norm',
reuse=self.reuse)
x = layers.relu(x, name='conv3_relu')
x = layers.avg_pooling3d(x, name='avg_pool4')
x = layers.dense(x, 128, name='fc5', reuse=self.reuse)
encoder_output = x
x = layers.dense(x, num_classes, name='fc6', reuse=self.reuse)
prob = layers.softmax(x, name='softmax_layer')
output_dict = {
'logits': x,
'probabilities': prob,
'encoder_output': encoder_output,
}
return output_dict
| 44.166667 | 96 | 0.607547 | 432 | 3,445 | 4.655093 | 0.152778 | 0.059175 | 0.104426 | 0.089508 | 0.880159 | 0.817504 | 0.817504 | 0.817504 | 0.817504 | 0.817504 | 0 | 0.030459 | 0.266183 | 3,445 | 77 | 97 | 44.74026 | 0.765032 | 0.019739 | 0 | 0.766667 | 0 | 0 | 0.111836 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.05 | 0 | 0.183333 | 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 |
5b643aec8452d89a30c0884bc04c994b9a13769d | 5,240 | py | Python | datacenter/migrations/0001_initial.py | MZen2610/electronic-diary | be78854f3edf06aa348c61b3592715a86fc6dcbc | [
"MIT"
] | 1 | 2021-01-20T17:39:03.000Z | 2021-01-20T17:39:03.000Z | datacenter/migrations/0001_initial.py | MZen2610/electronic-diary | be78854f3edf06aa348c61b3592715a86fc6dcbc | [
"MIT"
] | null | null | null | datacenter/migrations/0001_initial.py | MZen2610/electronic-diary | be78854f3edf06aa348c61b3592715a86fc6dcbc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2019-06-26 17:28
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Commendation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('text', models.TextField()),
('date', models.DateField()),
],
),
migrations.CreateModel(
name='Lesson',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=200)),
('year_of_study', models.IntegerField()),
('year_of_study_group', models.CharField(max_length=1)),
('timeslot', models.IntegerField()),
('room', models.CharField(max_length=50)),
('date', models.DateField()),
],
),
migrations.CreateModel(
name='Mark',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('points', models.IntegerField()),
('teacher_note', models.TextField()),
('date', models.DateField()),
],
),
migrations.CreateModel(
name='Schoolkid',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('full_name', models.CharField(max_length=200)),
('birthday', models.DateField(null=True)),
('year_started_education', models.IntegerField(null=True)),
('year_of_study', models.IntegerField(null=True)),
('year_of_study_group', models.CharField(max_length=1, null=True)),
],
),
migrations.CreateModel(
name='Subject',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=200)),
('year_of_study', models.IntegerField(null=True)),
],
),
migrations.CreateModel(
name='Teacher',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('full_name', models.CharField(max_length=200)),
('birthday', models.DateField(blank=True, null=True)),
],
),
migrations.CreateModel(
name='Сhastisement',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('text', models.TextField()),
('date', models.DateField()),
('schoolkid', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='datacenter.Schoolkid')),
('subject', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='datacenter.Subject')),
('teacher', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='datacenter.Teacher')),
],
),
migrations.AddField(
model_name='mark',
name='schoolkid',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='datacenter.Schoolkid'),
),
migrations.AddField(
model_name='mark',
name='subject',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='datacenter.Subject'),
),
migrations.AddField(
model_name='mark',
name='teacher',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='datacenter.Teacher'),
),
migrations.AddField(
model_name='lesson',
name='subject',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='datacenter.Subject'),
),
migrations.AddField(
model_name='lesson',
name='teacher',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='datacenter.Teacher'),
),
migrations.AddField(
model_name='commendation',
name='schoolkid',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='datacenter.Schoolkid'),
),
migrations.AddField(
model_name='commendation',
name='subject',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='datacenter.Subject'),
),
migrations.AddField(
model_name='commendation',
name='teacher',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='datacenter.Teacher'),
),
]
| 41.92 | 128 | 0.567748 | 495 | 5,240 | 5.870707 | 0.165657 | 0.035788 | 0.057811 | 0.090847 | 0.849621 | 0.813489 | 0.774948 | 0.750516 | 0.72161 | 0.693393 | 0 | 0.008897 | 0.292176 | 5,240 | 124 | 129 | 42.258065 | 0.774602 | 0.012977 | 0 | 0.732759 | 1 | 0 | 0.121687 | 0.004256 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.025862 | 0 | 0.060345 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
5b8acd871da63e0d7767d6397d760e0ecf59d11c | 6,141 | py | Python | prepare_data/dataset_Celeb.py | guxiwuruo/NAN | 9d711d17cbd8ad2c3e85c10d9818688879c899b3 | [
"MIT"
] | 16 | 2019-05-09T15:04:29.000Z | 2021-02-14T09:43:12.000Z | prepare_data/dataset_Celeb.py | guxiwuruo/NAN | 9d711d17cbd8ad2c3e85c10d9818688879c899b3 | [
"MIT"
] | 6 | 2019-06-04T01:44:22.000Z | 2021-11-02T06:50:42.000Z | prepare_data/dataset_Celeb.py | guxiwuruo/NAN | 9d711d17cbd8ad2c3e85c10d9818688879c899b3 | [
"MIT"
] | 5 | 2019-06-11T08:56:16.000Z | 2021-02-01T03:41:37.000Z | import numpy as np
import scipy.io as sio
import os
import pickle
def save(lst, path):
with open(path, 'wb') as fp:
pickle.dump(lst, fp)
def fill_str(a):
nstr = str(a)
for i in range(4 - len(nstr)):
nstr = '0' + nstr
return nstr
def get_close_set():
num_sub = 1000
data_dir = '/home/maoyirong/data/Celebrity-1000/resnet50_128_feat'
save_dir = './data/Celeb/close'
data_path = './data/Celeb/close/sub_video_seq_{}'.format(num_sub)
lst_seq = sio.loadmat(data_path)
gallery = lst_seq['gallery']
probe = lst_seq['probe']
print('gallery and probe size {} {}'.format(gallery.shape[0], probe.shape[0]))
subs = []
sub_faces = []
for i in range(gallery.shape[0]):
sub = fill_str(gallery[i, 0])
video = fill_str(gallery[i, 1])
seq = str(gallery[i, 2])
sub_exist = True
if subs.count(sub) == 0:
subs.append(sub)
sub_faces.append([])
sub_exist = False
idx = subs.index(sub)
mat_path = os.path.join(data_dir, sub, video, seq + '_h.mat')
if os.path.exists(mat_path):
arr = sio.loadmat(mat_path)
arr = arr['feat']
# arr_h = sio.loadmat(os.path.join(data_dir, sub, video, seq + '.mat'))
# arr = np.vstack([arr, arr_h['feat']])
if len(arr) == 0:
print(mat_path)
continue
if len(sub_faces[idx]) == 0:
sub_faces[idx] = arr
else:
sub_faces[idx] = np.vstack([sub_faces[idx], arr])
lst_subs = []
lst_sub_faces = []
min_len = 100000
for i in range(len(subs)):
if len(sub_faces[i]) > 0:
lst_sub_faces.append(sub_faces[i])
lst_subs.append(subs[i])
if np.size(sub_faces[i], 0) < min_len:
min_len = np.size(sub_faces[i], 0)
print('min gallery sub faces {}'.format(min_len))
save(lst_sub_faces, os.path.join(save_dir, 'train_{}.bin'.format(num_sub)))
## probe
min_len = 100000
lst_probe_video = []
lst_video_no = []
K = 30
for i in range(probe.shape[0]):
sub = fill_str(probe[i, 0])
video = fill_str(probe[i, 1])
# seq = str(probe[i, 2])
if lst_subs.count(sub) == 0:
continue
idx = lst_subs.index(sub)
if lst_video_no.count(sub + '_' + video) == 0:
lst_mat = [file for file in os.listdir(os.path.join(data_dir, sub, video)) if file.endswith('_h.mat')]
arr = []
for mat in lst_mat:
mat_path = os.path.join(data_dir, sub, video, mat)
if os.path.exists(mat_path):
item = sio.loadmat(mat_path)
arr.append(item['feat'])
arr = np.concatenate(arr, axis=0)
# arr_h = sio.loadmat(os.path.join(data_dir, sub, video, seq + '.mat'))
# arr = np.vstack([arr, arr_h['feat']])
if arr.shape[0] < K:
print(sub + '_' + video)
continue
lst_probe_video.append([idx, arr])
lst_video_no.append(sub + '_' + video)
# print('min proble seq len {}'.format(min_len))
save(lst_probe_video, os.path.join(save_dir, 'test_video_{}.bin'.format(num_sub)))
print('finished')
def get_close_set_ori():
num_sub = 100
data_dir = '/home/maoyirong/data/Celebrity-1000/resnet50_128_feat'
save_dir = './data/Celeb/close'
data_path = './data/Celeb/close/sub_video_seq_{}'.format(num_sub)
lst_seq = sio.loadmat(data_path)
gallery = lst_seq['gallery']
probe = lst_seq['probe']
print('gallery and probe size {} {}'.format(gallery.shape[0], probe.shape[0]))
subs = []
sub_faces = []
for i in range(gallery.shape[0]):
sub = fill_str(gallery[i, 0])
video = fill_str(gallery[i, 1])
seq = str(gallery[i, 2])
sub_exist = True
if subs.count(sub) == 0:
subs.append(sub)
sub_faces.append([])
sub_exist = False
idx = subs.index(sub)
mat_path = os.path.join(data_dir, sub, video, seq + '_h.mat')
if os.path.exists(mat_path):
arr = sio.loadmat(mat_path)
arr = arr['feat']
arr_h = sio.loadmat(os.path.join(data_dir, sub, video, seq + '.mat'))
arr = np.vstack([arr, arr_h['feat']])
if len(arr) == 0:
print(mat_path)
continue
if len(sub_faces[idx]) == 0:
sub_faces[idx] = arr
else:
sub_faces[idx] = np.vstack([sub_faces[idx], arr])
lst_subs = []
lst_sub_faces = []
min_len = 100000
for i in range(len(subs)):
if len(sub_faces[i]) > 0:
lst_sub_faces.append(sub_faces[i])
lst_subs.append(subs[i])
if np.size(sub_faces[i],0) < min_len:
min_len = np.size(sub_faces[i],0)
print('min gallery sub faces {}'.format(min_len))
save(lst_sub_faces, os.path.join(save_dir, 'train_{}.bin'.format(num_sub)))
## probe
min_len = 100000
lst_probe_seqs = []
for i in range(probe.shape[0]):
sub = fill_str(probe[i, 0])
video = fill_str(probe[i, 1])
seq = str(probe[i, 2])
if lst_subs.count(sub) == 0:
continue
idx = lst_subs.index(sub)
mat_path = os.path.join(data_dir, sub, video, seq + '_h.mat')
if os.path.exists(mat_path):
arr = sio.loadmat(mat_path)
arr = arr['feat']
arr_h = sio.loadmat(os.path.join(data_dir, sub, video, seq + '.mat'))
arr = np.vstack([arr, arr_h['feat']])
if len(arr) == 0:
print(mat_path)
continue
if np.size(arr, 0) < min_len:
min_len = np.size(arr, 0)
lst_probe_seqs.append([idx, arr])
print('min proble seq len {}'.format(min_len))
save(lst_probe_seqs, os.path.join(save_dir, 'test_{}.bin'.format(num_sub)))
print('finished')
if __name__ == '__main__':
get_close_set()
| 31.331633 | 114 | 0.543071 | 876 | 6,141 | 3.599315 | 0.109589 | 0.071043 | 0.041231 | 0.039962 | 0.837615 | 0.831272 | 0.80019 | 0.778624 | 0.778624 | 0.768474 | 0 | 0.021949 | 0.310047 | 6,141 | 195 | 115 | 31.492308 | 0.722209 | 0.048689 | 0 | 0.730263 | 0 | 0 | 0.085577 | 0.030184 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026316 | false | 0 | 0.026316 | 0 | 0.059211 | 0.072368 | 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 |
5b8b3e5a6b83e72b3f9769ef8bd0e517f7979809 | 1,740 | py | Python | 2014.d/bts.d/sts1-et.d/1-complexe.d/python/1_complexes-ie-1-correction.py | homeostasie/annees-precedentes | db95e1883558eb5f8c67dfdd9923cf00cdf1a70a | [
"MIT"
] | 1 | 2018-12-29T12:46:51.000Z | 2018-12-29T12:46:51.000Z | 2014.d/bts.d/sts1-et.d/1-complexe.d/python/1_complexes-ie-1-correction.py | homeostasie/annees-precedentes | db95e1883558eb5f8c67dfdd9923cf00cdf1a70a | [
"MIT"
] | null | null | null | 2014.d/bts.d/sts1-et.d/1-complexe.d/python/1_complexes-ie-1-correction.py | homeostasie/annees-precedentes | db95e1883558eb5f8c67dfdd9923cf00cdf1a70a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Pour les complexes, on définit j comme le complexe tel que j² = -1
j=complex(0,1) ;
# Série A - Données
print(" -------------------------- SÉRIE A ----")
print(" ----- Données -----")
z0 = 2 + 0*j
z1 = 3*j
z2 = j + 1
z3 = 3*(j + 1)
z4 = -2*j
z5 = -j + 1
z6 = -j +2
z7 = 5 + 0*j
z8 = -2*j
z9 = 2 + j
# Affichage des données
print("z0 = ",z0)
print("z1 = ",z1)
print("z2 = ",z2)
print("z3 = ",z3)
print("z4 = ",z4)
print("z5 = ",z5)
print("z6 = ",z6)
print("z7 = ",z7)
print("z8 = ",z8)
print("z9 = ",z9)
# Calcul
print(" ----- Calculs -----")
za = z1 + z2
zb = z0 - z3 + z2
zc = z6 + z1 +z4
zd = z7 * z2
ze = z2 + z7 * z2
zf = z2**2
zg = (z1 + z2)**2
zh = 1/z1
zi = z1/z5
zj = z9/z2
# Affichage des données
print("za = ",za)
print("zb = ",zb)
print("zc = ",zc)
print("zd = ",zd)
print("ze = ",ze)
print("zf = ",zf)
print("zg = ",zg)
print("zh = ",zh)
print("zi = ",zi)
print("zj = ",zj)
# Série B - Données
print(" -------------------------- SÉRIE B -----")
print(" ----- Données -----")
z0 = 1 + 0*j
z1 = 2*j
z2 = j + 1
z3 = 2*(j + 1)
z4 = -4*j
z5 = -j - 1
z6 = -j + 2
z7 = 6 + 0*j
z8 = -5*j
z9 = 2 + j
# Affichage des données
print("z0 = ",z0)
print("z1 = ",z1)
print("z2 = ",z2)
print("z3 = ",z3)
print("z4 = ",z4)
print("z5 = ",z5)
print("z6 = ",z6)
print("z7 = ",z7)
print("z8 = ",z8)
print("z9 = ",z9)
# Calcul
print(" ----- Calculs -----")
za = z1 + z2
zb = z0 - z3 + z2
zc = z6 + z1 +z4
zd = z7 * z2
ze = z2 + z7 * z2
zf = z2**2
zg = (z1 + z2)**2
zh = 1/z1
zi = z1/z5
zj = z9/z2
# Affichage des données
print("za = ",za)
print("zb = ",zb)
print("zc = ",zc)
print("zd = ",zd)
print("ze = ",ze)
print("zf = ",zf)
print("zg = ",zg)
print("zh = ",zh)
print("zi = ",zi)
print("zj = ",zj)
| 14.262295 | 68 | 0.479885 | 309 | 1,740 | 2.702265 | 0.171521 | 0.086228 | 0.091018 | 0.11497 | 0.776048 | 0.759281 | 0.759281 | 0.759281 | 0.732934 | 0.732934 | 0 | 0.103139 | 0.231034 | 1,740 | 121 | 69 | 14.380165 | 0.520927 | 0.12931 | 0 | 0.804598 | 0 | 0 | 0.239867 | 0.034552 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.528736 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
5b9425964b2951bca7febbb95784cc81853f1a74 | 214 | py | Python | alimd/__init__.py | aoguedao/alimd | 984142370eb640556561d2f27bfcedf5b4e2dffa | [
"MIT"
] | null | null | null | alimd/__init__.py | aoguedao/alimd | 984142370eb640556561d2f27bfcedf5b4e2dffa | [
"MIT"
] | null | null | null | alimd/__init__.py | aoguedao/alimd | 984142370eb640556561d2f27bfcedf5b4e2dffa | [
"MIT"
] | null | null | null | # import logging
from alimd.constants import *
from alimd.utils import *
from alimd import gmanova
from alimd import simce
from alimd import eigen
# logging.getLogger(__name__).addHandler(logging.NullHandler()) | 23.777778 | 63 | 0.799065 | 28 | 214 | 5.964286 | 0.464286 | 0.269461 | 0.269461 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130841 | 214 | 9 | 63 | 23.777778 | 0.897849 | 0.35514 | 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 |
5b9dfbfc09e2391f7967be4312af7b717c6eebc2 | 17,926 | py | Python | tests/extract_old_site/modules/test_references.py | aychen99/Excavating-Occaneechi-Town | 6e864ca69ff1881554eb4c88aebed236bafbeaf4 | [
"MIT"
] | 1 | 2020-10-01T01:07:11.000Z | 2020-10-01T01:07:11.000Z | tests/extract_old_site/modules/test_references.py | aychen99/Excavating-Occaneechi-Town | 6e864ca69ff1881554eb4c88aebed236bafbeaf4 | [
"MIT"
] | null | null | null | tests/extract_old_site/modules/test_references.py | aychen99/Excavating-Occaneechi-Town | 6e864ca69ff1881554eb4c88aebed236bafbeaf4 | [
"MIT"
] | null | null | null | from src.extract_old_site.modules import references as refs
import pytest
from pathlib import Path
# Portions of /dig/html/split/report282b.html, references pg. 1.
report_282b_sample_html_str = """
<html><body bgcolor=white>
<a name="ku">Abler, T. S., and Elisabeth Tooker</a><blockquote>
1978 Seneca. In <i>Handbook of North American Indians</i>, vol. 15, edited
by Bruce G. Trigger. Smithsonian Institution, Washington, D.C.<p>
</blockquote><a name="go">Gwynn, John V.</a><blockquote>
1964 <i>Virginia Upland Game Investigations: Restoration of the Wild
Turkey</i>. Annual Report, Virginia Pittman-Robertson Project.<p>
</blockquote></body></html>
"""
# Portions of /dig/html/split/report283b.html, references pg. 2.
# Chosen to contain examples of references where the author has no letters
# but one of the references does,
# where an author has multiple references with letters,
# where an author has multiple references without letters,
# where an author has a single reference with letters,
# and where an author has a single reference without letters.
report_283b_sample_html_str = """
<html><body bgcolor=white>
<a name="bs">Hale, Horatio</a><blockquote>
1883 The Tutelo Tribe and Language. <i>Proceedings of the American
Philosophical Society</i> 21:114:1-47.<p>
</blockquote>Hammett, Julia E.<blockquote>
1983 Preliminary Classification of North Carolina Shell Bead Artifacts:
Some Indications and Implications. Ms. on file, Research Laboratories of
Anthropology, University of North Carolina, Chapel Hill.<p>
1987 Shell Artifacts from the Carolina Piedmont. In <i>The Siouan Project:
Seasons I and II</i>, edited by Roy S. Dickens Jr., H. Trawick Ward, and R. P.
Stephen Davis, Jr., pp. 167-183. Monograph Series No. 1. Research
Laboratories of Anthropology, University of North Carolina, Chapel Hill.<p>
</blockquote><a name="iu">Horn, Henry S.</a><blockquote>
1974 The Ecology of Secondary Succession. <i>Annual Review of Ecology and
Systematics</i> 5:25-37.<p>
1978 Optimal Tactics of Reproduction and Life-History. In <i>Behavioral
Ecology: An Evolutionary Approach</i>, edited by J. R. Krebs and N. B. Davies,
pp 411-429. Blackwell Scientific Publications, Oxford.<p>
</blockquote><a name="cx">Hudson, Charles M.</a><blockquote>
1970 <i>The Catawba Nation</i>. University of Georgia Press, Athens.<p>
<a name="bu">1976</a> <i>The Southeastern Indians</i>. The University of Tennessee Press,
Knoxville.<p>
</blockquote>Morris, Percy C.<blockquote>
1975 <i>A Field Guide to Shells of the Atlantic and Gulf Coasts and the
West Indies</i>. Houghton Mifflin Co., Boston.<p>
</blockquote><a name="ax">Morrison, A. J.</a><blockquote>
1921 The Virginia Indian Trade to 1673. <i>William and Mary Quarterly</i>
(2nd ser.) 1:217-236.<p>
</blockquote>Myers, Albert Cook (editor)<blockquote>
1970 <i>William Penn's Own Account of the Lenni Lenape or Delaware
Indians</i>. The Middle Atlantic Press, Somerset.<p>
</blockquote>Petherick, Gary L.<blockquote>
1985 Architecture and Features at the Fredricks, Wall, and Mitchum Sites.
In <i>The Historic Occaneechi: An Archaeological Investigation of Culture
Change. Final Report of 1984 Investigations</i>, edited by Roy S. Dickens,
Jr., H. Trawick Ward, and R. P. Stephen Davis, Jr., pp. 53-178. Research
Laboratories of Anthropology, University of North Carolina, Chapel Hill.<p>
<a name="lk">1987</a> Architecture and Features at the Fredricks, Wall, and Mitchum Sites.
In <i>The Siouan Project: Seasons I and II</i>, edited by Roy S. Dickens, Jr.,
H. Trawick Ward and R. P. Stephen Davis, Jr., pp. 29-80. Monograph Series No.
1, Research Laboratories of Anthropology, University of North Carolina, Chapel
Hill.<p>
</blockquote><a name="dy">Rush County Clerk of Courts</a><blockquote>
1869 Court Papers: Jefries vs. O'Brien case of 1869. Rushville, Indiana.<p>
</blockquote></body></html>
"""
# Portions of /dig/html/split/report284b.html, references pg. 3
report_284b_sample_html_str = """
<html><body bgcolor=white>
<a name="ky">Sahlins, Marshall D.</a><blockquote>
1968 <i>Tribesmen</i>. Prentice-Hall, Inc., Englewood Cliffs, New
Jersey.<p>
</blockquote>Sainesbury, W. N. (editor)<blockquote>
1893 Calendar of State Papers, Colonial Series, America and the West
Indies, 1669-1674. Printed for Her Majesty's Stationery Office by Eyre and
Spottiswoods, London.<p>
</blockquote><a name="hn">Yarnell, Richard A., and M. Jean Black</a><blockquote>
1983 Temporal Trends Indicated by a Survey of Prehistoric Plant Food
Remains from Southeastern North America. Revised version of a paper presented
at the 40th Annual Meeting of the Southeastern Archaeological Conference,
Columbia, South Carolina.<p>
<a name="iz">1985</a> Temporal Trends Indicated by a Survey of Archaic and Woodland Plant
Food Remains from Southeastern North America. <i>Southeastern Archaeology</i>
4:93-106.<p>
</blockquote></body></html>
"""
report_282b_extracted = {
"refs": {
"Abler, T. S., and Elisabeth Tooker": [
("1978 Seneca. In <i>Handbook of North American Indians</i>, vol. 15, edited "
"by Bruce G. Trigger. Smithsonian Institution, Washington, D.C.")
],
"Gwynn, John V.": [
("1964 <i>Virginia Upland Game Investigations: Restoration of the Wild "
"Turkey</i>. Annual Report, Virginia Pittman-Robertson Project.")
]
},
"hrefsToRefs": {
"ku": {
"author": "Abler, T. S., and Elisabeth Tooker",
"refNum": 0
},
"go": {
"author": "Gwynn, John V.",
"refNum": 0
}
}
}
report_283b_extracted = {
"refs": {
"Hale, Horatio": [
("1883 The Tutelo Tribe and Language. "
"<i>Proceedings of the American Philosophical Society</i> 21:114:1-47.")
],
"Hammett, Julia E.": [
("1983 Preliminary Classification of North Carolina Shell Bead Artifacts: "
"Some Indications and Implications. Ms. on file, Research Laboratories "
"of Anthropology, University of North Carolina, Chapel Hill."),
("1987 Shell Artifacts from the Carolina Piedmont. In <i>The Siouan Project: "
"Seasons I and II</i>, edited by Roy S. Dickens Jr., H. Trawick Ward, and R. P. "
"Stephen Davis, Jr., pp. 167-183. Monograph Series No. 1. Research "
"Laboratories of Anthropology, University of North Carolina, Chapel Hill.")
],
"Horn, Henry S.": [
("1974 The Ecology of Secondary Succession. <i>Annual Review of Ecology and "
"Systematics</i> 5:25-37."),
("1978 Optimal Tactics of Reproduction and Life-History. In <i>Behavioral "
"Ecology: An Evolutionary Approach</i>, edited by J. R. Krebs and N. B. Davies, "
"pp 411-429. Blackwell Scientific Publications, Oxford.")
],
"Hudson, Charles M.": [
("1970 <i>The Catawba Nation</i>. University of Georgia Press, Athens."),
("1976 <i>The Southeastern Indians</i>. The University of Tennessee Press, "
"Knoxville.")
],
"Morris, Percy C.": [
("1975 <i>A Field Guide to Shells of the Atlantic and Gulf Coasts and the "
"West Indies</i>. Houghton Mifflin Co., Boston.")
],
"Morrison, A. J.": [
("1921 The Virginia Indian Trade to 1673. <i>William and Mary Quarterly</i> "
"(2nd ser.) 1:217-236.")
],
"Myers, Albert Cook (editor)": [
("1970 <i>William Penn's Own Account of the Lenni Lenape or Delaware "
"Indians</i>. The Middle Atlantic Press, Somerset.")
],
"Petherick, Gary L.": [
("1985 Architecture and Features at the Fredricks, Wall, and Mitchum Sites. "
"In <i>The Historic Occaneechi: An Archaeological Investigation of Culture "
"Change. Final Report of 1984 Investigations</i>, edited by Roy S. Dickens, "
"Jr., H. Trawick Ward, and R. P. Stephen Davis, Jr., pp. 53-178. Research "
"Laboratories of Anthropology, University of North Carolina, Chapel Hill."),
("1987 Architecture and Features at the Fredricks, Wall, and Mitchum Sites. "
"In <i>The Siouan Project: Seasons I and II</i>, edited by Roy S. Dickens, Jr., "
"H. Trawick Ward and R. P. Stephen Davis, Jr., pp. 29-80. Monograph Series No. "
"1, Research Laboratories of Anthropology, University of North Carolina, Chapel "
"Hill.")
],
"Rush County Clerk of Courts": [
("1869 Court Papers: Jefries vs. O'Brien case of 1869. Rushville, Indiana.")
]
},
"hrefsToRefs": {
"bs": {
"author": "Hale, Horatio",
"refNum": 0
},
"iu": {
"author": "Horn, Henry S.",
"refNum": 0
},
"cx": {
"author": "Hudson, Charles M.",
"refNum": 0
},
"bu": {
"author": "Hudson, Charles M.",
"refNum": 1
},
"ax": {
"author": "Morrison, A. J.",
"refNum": 0
},
"lk": {
"author": "Petherick, Gary L.",
"refNum": 1
},
"dy": {
"author": "Rush County Clerk of Courts",
"refNum": 0
}
}
}
report_284b_extracted = {
"refs": {
"Sahlins, Marshall D.": [
("1968 <i>Tribesmen</i>. Prentice-Hall, Inc., Englewood Cliffs, New "
"Jersey.")
],
"Sainesbury, W. N. (editor)": [
("1893 Calendar of State Papers, Colonial Series, America and the West "
"Indies, 1669-1674. Printed for Her Majesty's Stationery Office by Eyre and "
"Spottiswoods, London.")
],
"Yarnell, Richard A., and M. Jean Black": [
("1983 Temporal Trends Indicated by a Survey of Prehistoric Plant Food "
"Remains from Southeastern North America. Revised version of a paper presented "
"at the 40th Annual Meeting of the Southeastern Archaeological Conference, "
"Columbia, South Carolina."),
("1985 Temporal Trends Indicated by a Survey of Archaic and Woodland Plant "
"Food Remains from Southeastern North America. <i>Southeastern Archaeology</i> "
"4:93-106.")
]
},
"hrefsToRefs": {
"ky": {
"author": "Sahlins, Marshall D.",
"refNum": 0
},
"hn": {
"author": "Yarnell, Richard A., and M. Jean Black",
"refNum": 0
},
"iz": {
"author": "Yarnell, Richard A., and M. Jean Black",
"refNum": 1
}
}
}
all_sample_refs_extracted = {
"refs": {
"Abler, T. S., and Elisabeth Tooker": [
("1978 Seneca. In <i>Handbook of North American Indians</i>, vol. 15, edited "
"by Bruce G. Trigger. Smithsonian Institution, Washington, D.C.")
],
"Gwynn, John V.": [
("1964 <i>Virginia Upland Game Investigations: Restoration of the Wild "
"Turkey</i>. Annual Report, Virginia Pittman-Robertson Project.")
],
"Hale, Horatio": [
("1883 The Tutelo Tribe and Language. "
"<i>Proceedings of the American Philosophical Society</i> 21:114:1-47.")
],
"Hammett, Julia E.": [
("1983 Preliminary Classification of North Carolina Shell Bead Artifacts: "
"Some Indications and Implications. Ms. on file, Research Laboratories "
"of Anthropology, University of North Carolina, Chapel Hill."),
("1987 Shell Artifacts from the Carolina Piedmont. In <i>The Siouan Project: "
"Seasons I and II</i>, edited by Roy S. Dickens Jr., H. Trawick Ward, and R. P. "
"Stephen Davis, Jr., pp. 167-183. Monograph Series No. 1. Research "
"Laboratories of Anthropology, University of North Carolina, Chapel Hill.")
],
"Horn, Henry S.": [
("1974 The Ecology of Secondary Succession. <i>Annual Review of Ecology and "
"Systematics</i> 5:25-37."),
("1978 Optimal Tactics of Reproduction and Life-History. In <i>Behavioral "
"Ecology: An Evolutionary Approach</i>, edited by J. R. Krebs and N. B. Davies, "
"pp 411-429. Blackwell Scientific Publications, Oxford.")
],
"Hudson, Charles M.": [
("1970 <i>The Catawba Nation</i>. University of Georgia Press, Athens."),
("1976 <i>The Southeastern Indians</i>. The University of Tennessee Press, "
"Knoxville.")
],
"Morris, Percy C.": [
("1975 <i>A Field Guide to Shells of the Atlantic and Gulf Coasts and the "
"West Indies</i>. Houghton Mifflin Co., Boston.")
],
"Morrison, A. J.": [
("1921 The Virginia Indian Trade to 1673. <i>William and Mary Quarterly</i> "
"(2nd ser.) 1:217-236.")
],
"Myers, Albert Cook (editor)": [
("1970 <i>William Penn's Own Account of the Lenni Lenape or Delaware "
"Indians</i>. The Middle Atlantic Press, Somerset.")
],
"Petherick, Gary L.": [
("1985 Architecture and Features at the Fredricks, Wall, and Mitchum Sites. "
"In <i>The Historic Occaneechi: An Archaeological Investigation of Culture "
"Change. Final Report of 1984 Investigations</i>, edited by Roy S. Dickens, "
"Jr., H. Trawick Ward, and R. P. Stephen Davis, Jr., pp. 53-178. Research "
"Laboratories of Anthropology, University of North Carolina, Chapel Hill."),
("1987 Architecture and Features at the Fredricks, Wall, and Mitchum Sites. "
"In <i>The Siouan Project: Seasons I and II</i>, edited by Roy S. Dickens, Jr., "
"H. Trawick Ward and R. P. Stephen Davis, Jr., pp. 29-80. Monograph Series No. "
"1, Research Laboratories of Anthropology, University of North Carolina, Chapel "
"Hill.")
],
"Rush County Clerk of Courts": [
("1869 Court Papers: Jefries vs. O'Brien case of 1869. Rushville, Indiana.")
],
"Sahlins, Marshall D.": [
("1968 <i>Tribesmen</i>. Prentice-Hall, Inc., Englewood Cliffs, New "
"Jersey.")
],
"Sainesbury, W. N. (editor)": [
("1893 Calendar of State Papers, Colonial Series, America and the West "
"Indies, 1669-1674. Printed for Her Majesty's Stationery Office by Eyre and "
"Spottiswoods, London.")
],
"Yarnell, Richard A., and M. Jean Black": [
("1983 Temporal Trends Indicated by a Survey of Prehistoric Plant Food "
"Remains from Southeastern North America. Revised version of a paper presented "
"at the 40th Annual Meeting of the Southeastern Archaeological Conference, "
"Columbia, South Carolina."),
("1985 Temporal Trends Indicated by a Survey of Archaic and Woodland Plant "
"Food Remains from Southeastern North America. <i>Southeastern Archaeology</i> "
"4:93-106.")
]
},
"hrefsToRefs": {
"ku": {
"author": "Abler, T. S., and Elisabeth Tooker",
"refNum": 0
},
"go": {
"author": "Gwynn, John V.",
"refNum": 0
},
"bs": {
"author": "Hale, Horatio",
"refNum": 0
},
"iu": {
"author": "Horn, Henry S.",
"refNum": 0
},
"cx": {
"author": "Hudson, Charles M.",
"refNum": 0
},
"bu": {
"author": "Hudson, Charles M.",
"refNum": 1
},
"ax": {
"author": "Morrison, A. J.",
"refNum": 0
},
"lk": {
"author": "Petherick, Gary L.",
"refNum": 1
},
"dy": {
"author": "Rush County Clerk of Courts",
"refNum": 0
},
"ky": {
"author": "Sahlins, Marshall D.",
"refNum": 0
},
"hn": {
"author": "Yarnell, Richard A., and M. Jean Black",
"refNum": 0
},
"iz": {
"author": "Yarnell, Richard A., and M. Jean Black",
"refNum": 1
}
}
}
def mock_readfile(filename, parent_dir_path_obj):
if parent_dir_path_obj.as_posix() == "C:/dig/html/part6":
pass
if parent_dir_path_obj.as_posix() == "C:/dig/html/split":
if filename == "report282b.html":
return report_282b_sample_html_str
elif filename == "report283b.html":
return report_283b_sample_html_str
elif filename == "report284b.html":
return report_284b_sample_html_str
raise Exception("failed to find file path in mock_readfile")
@pytest.mark.parametrize("ref_reportb_html_str,expected_results", [
(report_282b_sample_html_str, report_282b_extracted),
(report_283b_sample_html_str, report_283b_extracted),
(report_284b_sample_html_str, report_284b_extracted)
])
def test_extract_references_page(ref_reportb_html_str, expected_results):
assert refs.extract_references_page(ref_reportb_html_str) == expected_results
def test_extract_all_references():
assert refs.extract_all_references("C:/", mock_readfile) == all_sample_refs_extracted
# TODO
# def test_validate_ref_page():
# pass
# def test_validate_all_ref_pages():
# pass
| 44.371287 | 94 | 0.5974 | 2,202 | 17,926 | 4.818347 | 0.169391 | 0.007917 | 0.021206 | 0.038454 | 0.879359 | 0.855702 | 0.843921 | 0.83525 | 0.83525 | 0.806786 | 0 | 0.042137 | 0.283778 | 17,926 | 403 | 95 | 44.48139 | 0.784251 | 0.033694 | 0 | 0.648 | 0 | 0.050667 | 0.698041 | 0.015832 | 0 | 0 | 0 | 0.002481 | 0.005333 | 1 | 0.008 | false | 0.002667 | 0.008 | 0 | 0.024 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
7518dbe6b956dcc8a2243b655ed4c95942b34ab5 | 1,512 | py | Python | record/cd/forms.py | Brayton-Han/Brayton-s-Record | 67cb6f7b17d8cb2c5f428079afb091f12b015f5c | [
"MIT"
] | null | null | null | record/cd/forms.py | Brayton-Han/Brayton-s-Record | 67cb6f7b17d8cb2c5f428079afb091f12b015f5c | [
"MIT"
] | null | null | null | record/cd/forms.py | Brayton-Han/Brayton-s-Record | 67cb6f7b17d8cb2c5f428079afb091f12b015f5c | [
"MIT"
] | null | null | null | from collections import defaultdict
from django import forms
class QuerycdForm(forms.Form):
name = forms.CharField(max_length=128, required=False)
artist = forms.CharField(max_length=128, required=False)
explicit = forms.BooleanField(required=False)
seal_off = forms.BooleanField(required=False)
class QueryvinylForm(forms.Form):
name = forms.CharField(max_length=128, required=False)
artist = forms.CharField(max_length=128, required=False)
second_hand = forms.BooleanField(required=False)
class EditcdForm(forms.Form):
barcode = forms.CharField(max_length=13)
name = forms.CharField(max_length=128)
artist = forms.CharField(max_length=128, required=False)
number = forms.IntegerField(required=False)
genre = forms.CharField(max_length=128, required=False)
produce_area = forms.CharField(max_length=128)
price = forms.FloatField()
cost = forms.FloatField()
seal_off = forms.BooleanField(required=False)
explicit = forms.BooleanField(required=False)
class EditvinylForm(forms.Form):
barcode = forms.CharField(max_length=13)
name = forms.CharField(max_length=128)
artist = forms.CharField(max_length=128, required=False)
number = forms.IntegerField(required=False)
genre = forms.CharField(max_length=128, required=False)
produce_area = forms.CharField(max_length=128)
price = forms.FloatField()
cost = forms.FloatField()
second_hand = forms.BooleanField(required=False) | 42 | 61 | 0.733466 | 182 | 1,512 | 5.983516 | 0.197802 | 0.191001 | 0.218549 | 0.295684 | 0.902663 | 0.888889 | 0.759412 | 0.677686 | 0.677686 | 0.677686 | 0 | 0.031571 | 0.162037 | 1,512 | 36 | 62 | 42 | 0.82794 | 0 | 0 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
7526e258d61d7289130f394b1c9a8ccb2b84a516 | 68 | py | Python | libapp/sitemap/__init__.py | octopi-labs/bazzinga | fcdd8e925cbaa31cacbec10dd1d599e72b84c588 | [
"MIT"
] | null | null | null | libapp/sitemap/__init__.py | octopi-labs/bazzinga | fcdd8e925cbaa31cacbec10dd1d599e72b84c588 | [
"MIT"
] | 3 | 2021-03-20T00:43:11.000Z | 2022-01-06T22:33:23.000Z | libapp/sitemap/__init__.py | octopi-labs/bazzinga | fcdd8e925cbaa31cacbec10dd1d599e72b84c588 | [
"MIT"
] | null | null | null | from libapp.sitemap import models
from libapp.sitemap import sitemap | 34 | 34 | 0.867647 | 10 | 68 | 5.9 | 0.5 | 0.338983 | 0.576271 | 0.779661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102941 | 68 | 2 | 34 | 34 | 0.967213 | 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 |
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