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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
364b6cc7d99ce27f96771330179853de3c897972 | 28 | py | Python | python/python-office-coffee-algorithm/app/coffee_pot.py | DEV3L/archive | 652e37bf949cfcb2174b97ed5b7dbb6285a8dbe8 | [
"Beerware"
] | null | null | null | python/python-office-coffee-algorithm/app/coffee_pot.py | DEV3L/archive | 652e37bf949cfcb2174b97ed5b7dbb6285a8dbe8 | [
"Beerware"
] | null | null | null | python/python-office-coffee-algorithm/app/coffee_pot.py | DEV3L/archive | 652e37bf949cfcb2174b97ed5b7dbb6285a8dbe8 | [
"Beerware"
] | null | null | null | class CoffeePot():
pass
| 9.333333 | 18 | 0.642857 | 3 | 28 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 28 | 2 | 19 | 14 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
3684aacfe0eb04d35043fdd7b02875fac72dfcee | 84 | py | Python | tests/file_fixtures/function_missing_args.py | typenil/typegripe | b773b7a67f682d92b477da20c057a4582118ca27 | [
"MIT"
] | 1 | 2020-06-29T02:59:34.000Z | 2020-06-29T02:59:34.000Z | tests/file_fixtures/function_missing_args.py | typenil/typegripe | b773b7a67f682d92b477da20c057a4582118ca27 | [
"MIT"
] | null | null | null | tests/file_fixtures/function_missing_args.py | typenil/typegripe | b773b7a67f682d92b477da20c057a4582118ca27 | [
"MIT"
] | null | null | null | def fully_typed_function(this, thing) -> float:
return len(this) / float(thing)
| 28 | 47 | 0.714286 | 12 | 84 | 4.833333 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.154762 | 84 | 2 | 48 | 42 | 0.816901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
36ab4fb3cd692a055aebd54a897da127af0a433a | 155 | py | Python | sample_project/another_app/tasks/deep_down_tasks/one_dedicated_task.py | valyagolev/django-cloud-tasks | baacde0139ebe4cdc2e39dbe0963d8b7d5ca646a | [
"Apache-2.0"
] | 2 | 2021-06-15T13:26:04.000Z | 2022-01-27T15:46:07.000Z | sample_project/another_app/tasks/deep_down_tasks/one_dedicated_task.py | valyagolev/django-cloud-tasks | baacde0139ebe4cdc2e39dbe0963d8b7d5ca646a | [
"Apache-2.0"
] | 8 | 2021-01-11T01:10:43.000Z | 2022-02-23T22:29:39.000Z | sample_project/another_app/tasks/deep_down_tasks/one_dedicated_task.py | joaodaher/django-cloud-tasks | bc8ff94a281bda8b49ee73229d5ed5cacdd7a388 | [
"Apache-2.0"
] | 2 | 2021-01-05T14:38:14.000Z | 2021-06-16T23:50:32.000Z | from django_cloud_tasks.tasks import Task
class OneBigDedicatedTask(Task):
def run(self, name):
return f"Chuck Norris is better than {name}"
| 22.142857 | 52 | 0.729032 | 22 | 155 | 5.045455 | 0.863636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.193548 | 155 | 6 | 53 | 25.833333 | 0.888 | 0 | 0 | 0 | 0 | 0 | 0.219355 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
36b12473fe38ce965085f3531cd8111c6595df1b | 571 | py | Python | tornado-restful-api/api/core/base_handler.py | eclipsegst/tornado-rest-api | 52d946601b66f816cb5cf6648607edace61b542b | [
"MIT"
] | null | null | null | tornado-restful-api/api/core/base_handler.py | eclipsegst/tornado-rest-api | 52d946601b66f816cb5cf6648607edace61b542b | [
"MIT"
] | null | null | null | tornado-restful-api/api/core/base_handler.py | eclipsegst/tornado-rest-api | 52d946601b66f816cb5cf6648607edace61b542b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#--------------------------------------------------------------
# Tornado restful api
#
# Date: 2016-04-26
#
# Author: Zhaolong Zhong
#--------------------------------------------------------------
import tornado.web
class BaseHandler(tornado.web.RequestHandler):
def initialize(self):
pass
def set_default_header(self):
self.set_header("Content-Type", "application/json")
@property
def db(self):
return self.application.db
@property
def user_dao(self):
return self.application.user_dao | 22.84 | 63 | 0.52014 | 56 | 571 | 5.214286 | 0.625 | 0.068493 | 0.09589 | 0.171233 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016985 | 0.175131 | 571 | 25 | 64 | 22.84 | 0.602972 | 0.360771 | 0 | 0.166667 | 0 | 0 | 0.078212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.083333 | 0.083333 | 0.166667 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 5 |
36c3cba9cf0d7ee801e42cd0b3576d3af1e8ad0c | 106 | py | Python | relay/relay_output.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | relay/relay_output.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | relay/relay_output.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | class RelayOutput:
def enable_relay(self, name: str):
pass
def reset(self):
pass
| 15.142857 | 38 | 0.584906 | 13 | 106 | 4.692308 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.330189 | 106 | 6 | 39 | 17.666667 | 0.859155 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0.4 | 0 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
36db59b040c98d3fde0070df9a9df5219fb825f8 | 94 | py | Python | user/services/__init__.py | sharif-42/Style-Icon | 26cd93cdd991588ce41f0032b033551f9f1a1bce | [
"MIT"
] | 1 | 2022-01-01T11:51:30.000Z | 2022-01-01T11:51:30.000Z | user/services/__init__.py | sharif-42/Style-Icon | 26cd93cdd991588ce41f0032b033551f9f1a1bce | [
"MIT"
] | null | null | null | user/services/__init__.py | sharif-42/Style-Icon | 26cd93cdd991588ce41f0032b033551f9f1a1bce | [
"MIT"
] | null | null | null | from .user_service import UserService
from .user_login_log_service import UserLoginLogService
| 31.333333 | 55 | 0.893617 | 12 | 94 | 6.666667 | 0.666667 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085106 | 94 | 2 | 56 | 47 | 0.930233 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 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 | 5 |
7fcc7b39e2d5006551a661ebae6d71b752d8f39e | 94 | py | Python | services/postgres/room/rollback_migrations.py | buckmaxwell/jukebox | 3b04fd1e38e9d3f57d86cf6695bcc3d8e8126681 | [
"MIT"
] | 1 | 2020-08-11T16:19:49.000Z | 2020-08-11T16:19:49.000Z | services/postgres/room/rollback_migrations.py | buckmaxwell/jukebox | 3b04fd1e38e9d3f57d86cf6695bcc3d8e8126681 | [
"MIT"
] | 39 | 2020-05-06T05:27:19.000Z | 2022-02-27T08:35:36.000Z | services/postgres/room/rollback_migrations.py | buckmaxwell/jukebox | 3b04fd1e38e9d3f57d86cf6695bcc3d8e8126681 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from migrator import rollback_migrations
rollback_migrations("room")
| 15.666667 | 40 | 0.808511 | 12 | 94 | 6.166667 | 0.833333 | 0.486486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011765 | 0.095745 | 94 | 5 | 41 | 18.8 | 0.858824 | 0.223404 | 0 | 0 | 0 | 0 | 0.055556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
7fe5930a67ea81cbfaced803e87bcc61846b21d3 | 126 | py | Python | ht/tip/admin.py | caoxuCarlos/htyw_ecust | 90277333510de14d936153fa2b164efbc5d068b8 | [
"MIT"
] | null | null | null | ht/tip/admin.py | caoxuCarlos/htyw_ecust | 90277333510de14d936153fa2b164efbc5d068b8 | [
"MIT"
] | null | null | null | ht/tip/admin.py | caoxuCarlos/htyw_ecust | 90277333510de14d936153fa2b164efbc5d068b8 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Suggestion
# Register your models here.
admin.site.register(Suggestion) | 21 | 32 | 0.81746 | 17 | 126 | 6.058824 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119048 | 126 | 6 | 33 | 21 | 0.927928 | 0.206349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 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 | 5 |
3d04c3d070c65cbfce9f2a399bc5e3b16da57445 | 78 | py | Python | test.py | romaindudek/PyTranslation-Pot-Po-Mo | d162d1825a81793d8ab2d48c3d92c6d376573842 | [
"MIT"
] | null | null | null | test.py | romaindudek/PyTranslation-Pot-Po-Mo | d162d1825a81793d8ab2d48c3d92c6d376573842 | [
"MIT"
] | null | null | null | test.py | romaindudek/PyTranslation-Pot-Po-Mo | d162d1825a81793d8ab2d48c3d92c6d376573842 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import locale
print(_("C'est un truc à traduire")) | 11.142857 | 36 | 0.602564 | 12 | 78 | 3.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015873 | 0.192308 | 78 | 7 | 36 | 11.142857 | 0.714286 | 0.269231 | 0 | 0 | 0 | 0 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 5 |
3d2f290c1151e9fb7a95d53f79df6cd76d7bff30 | 208 | py | Python | daml_dit_ddit/subcommand_show.py | digital-asset/daml-dit-dd | 99ff5c3eb40c9369bb5d6137e51d4a9aada267a6 | [
"Apache-2.0"
] | null | null | null | daml_dit_ddit/subcommand_show.py | digital-asset/daml-dit-dd | 99ff5c3eb40c9369bb5d6137e51d4a9aada267a6 | [
"Apache-2.0"
] | null | null | null | daml_dit_ddit/subcommand_show.py | digital-asset/daml-dit-dd | 99ff5c3eb40c9369bb5d6137e51d4a9aada267a6 | [
"Apache-2.0"
] | null | null | null | from .common import \
load_dabl_meta, \
show_package_summary
def subcommand_main():
dabl_meta = load_dabl_meta()
show_package_summary(dabl_meta)
def setup(sp):
return subcommand_main
| 14.857143 | 35 | 0.725962 | 28 | 208 | 4.964286 | 0.535714 | 0.230216 | 0.172662 | 0.230216 | 0.431655 | 0.431655 | 0 | 0 | 0 | 0 | 0 | 0 | 0.201923 | 208 | 13 | 36 | 16 | 0.837349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0.125 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 |
3d5fa4f34b26eb5ff76e344c91ebfbaf1190b3eb | 3,412 | py | Python | dask/array/tests/test_linalg.py | gabrielelanaro/dask | b5827ec358adfe5ec5b72be732aecc10e4b08da6 | [
"BSD-3-Clause"
] | null | null | null | dask/array/tests/test_linalg.py | gabrielelanaro/dask | b5827ec358adfe5ec5b72be732aecc10e4b08da6 | [
"BSD-3-Clause"
] | null | null | null | dask/array/tests/test_linalg.py | gabrielelanaro/dask | b5827ec358adfe5ec5b72be732aecc10e4b08da6 | [
"BSD-3-Clause"
] | 1 | 2021-11-11T13:45:57.000Z | 2021-11-11T13:45:57.000Z | from __future__ import absolute_import
import pytest
pytest.importorskip('numpy')
import numpy as np
from dask.array import from_array
from dask.array.linalg import tsqr, svd_compressed
def test_tsqr_regular_blocks():
m, n = 20, 10
mat = np.random.rand(m, n)
data = from_array(mat, chunks=(10, n), name='A')
q, r = tsqr(data)
q = np.array(q)
r = np.array(r)
assert np.allclose(mat, np.dot(q, r)) # accuracy check
assert np.allclose(np.eye(n, n), np.dot(q.T, q)) # q must be orthonormal
assert np.all(r == np.triu(r)) # r must be upper triangular
def test_tsqr_irregular_blocks():
m, n = 20, 10
mat = np.random.rand(m, n)
data = from_array(mat, chunks=(3, n), name='A')[1:]
mat2 = mat[1:, :]
q, r = tsqr(data)
q = np.array(q)
r = np.array(r)
assert np.allclose(mat2, np.dot(q, r)) # accuracy check
assert np.allclose(np.eye(n, n), np.dot(q.T, q)) # q must be orthonormal
assert np.all(r == np.triu(r)) # r must be upper triangular
def test_tsqr_svd_regular_blocks():
m, n = 20, 10
mat = np.random.rand(m, n)
data = from_array(mat, chunks=(10, n), name='A')
u, s, vt = tsqr(data, compute_svd=True)
u = np.array(u)
s = np.array(s)
vt = np.array(vt)
usvt = np.dot(u, np.dot(np.diag(s), vt))
s_exact = np.linalg.svd(mat)[1]
assert np.allclose(mat, usvt) # accuracy check
assert np.allclose(np.eye(n, n), np.dot(u.T, u)) # u must be orthonormal
assert np.allclose(np.eye(n, n), np.dot(vt, vt.T)) # v must be orthonormal
assert np.allclose(s, s_exact) # s must contain the singular values
def test_tsqr_svd_irregular_blocks():
m, n = 20, 10
mat = np.random.rand(m, n)
data = from_array(mat, chunks=(3, n), name='A')[1:]
mat2 = mat[1:, :]
u, s, vt = tsqr(data, compute_svd=True)
u = np.array(u)
s = np.array(s)
vt = np.array(vt)
usvt = np.dot(u, np.dot(np.diag(s), vt))
s_exact = np.linalg.svd(mat2)[1]
assert np.allclose(mat2, usvt) # accuracy check
assert np.allclose(np.eye(n, n), np.dot(u.T, u)) # u must be orthonormal
assert np.allclose(np.eye(n, n), np.dot(vt, vt.T)) # v must be orthonormal
assert np.allclose(s, s_exact) # s must contain the singular values
def test_svd_compressed():
m, n = 300, 250
r = 10
np.random.seed(1234)
mat1 = np.random.randn(m, r)
mat2 = np.random.randn(r, n)
mat = mat1.dot(mat2)
data = from_array(mat, chunks=(50, 50))
n_iter = 6
for i in range(n_iter):
u, s, vt = svd_compressed(data, r)
u = np.array(u)
s = np.array(s)
vt = np.array(vt)
if i == 0:
usvt = np.dot(u, np.dot(np.diag(s), vt))
else:
usvt += np.dot(u, np.dot(np.diag(s), vt))
usvt /= n_iter
tol = 2e-1
assert np.allclose(np.linalg.norm(mat - usvt),
np.linalg.norm(mat),
rtol=tol, atol=tol) # average accuracy check
u, s, vt = svd_compressed(data, r)
u = np.array(u)[:, :r]
s = np.array(s)[:r]
vt = np.array(vt)[:r, :]
s_exact = np.linalg.svd(mat)[1]
s_exact = s_exact[:r]
assert np.allclose(np.eye(r, r), np.dot(u.T, u)) # u must be orthonormal
assert np.allclose(np.eye(r, r), np.dot(vt, vt.T)) # v must be orthonormal
assert np.allclose(s, s_exact) # s must contain the singular values
| 29.413793 | 79 | 0.589977 | 602 | 3,412 | 3.272425 | 0.141196 | 0.073096 | 0.129949 | 0.082234 | 0.754822 | 0.743655 | 0.743655 | 0.730964 | 0.730964 | 0.718274 | 0 | 0.022665 | 0.25 | 3,412 | 115 | 80 | 29.669565 | 0.747167 | 0.122216 | 0 | 0.556818 | 0 | 0 | 0.003024 | 0 | 0 | 0 | 0 | 0 | 0.204545 | 1 | 0.056818 | false | 0 | 0.068182 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
e9f4fba85d50d668eb69d02a38e255bfdb1f2321 | 117 | py | Python | {{cookiecutter.repo_name}}/test/__init__.py | pattertj/python-best-practices-cookiecutter | 007db3ee4f5ae174f1a0fb0eb1f3995a50ceebf9 | [
"MIT"
] | 2 | 2021-05-16T13:54:27.000Z | 2021-11-16T01:54:08.000Z | {{cookiecutter.repo_name}}/test/__init__.py | pattertj/python-best-practices-cookiecutter | 007db3ee4f5ae174f1a0fb0eb1f3995a50ceebf9 | [
"MIT"
] | null | null | null | {{cookiecutter.repo_name}}/test/__init__.py | pattertj/python-best-practices-cookiecutter | 007db3ee4f5ae174f1a0fb0eb1f3995a50ceebf9 | [
"MIT"
] | null | null | null | import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".", "{{cookiecutter.repo_name}}"))
| 23.4 | 94 | 0.709402 | 18 | 117 | 4.333333 | 0.666667 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009259 | 0.076923 | 117 | 4 | 95 | 29.25 | 0.712963 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
180be5c758686d30b63e0ff35f7bbc9f7916b146 | 145 | py | Python | Dataset/Leetcode/train/78/43.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/train/78/43.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/train/78/43.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | class Solution:
def XXX(self, nums: List[int]) -> List[List[int]]:
return reduce(lambda x, y: x + [i + [y] for i in x], nums, [[]])
| 29 | 72 | 0.544828 | 24 | 145 | 3.291667 | 0.666667 | 0.177215 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.248276 | 145 | 4 | 73 | 36.25 | 0.724771 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
18128de1ce2323f913be84b18a4a3f1b61100b8a | 74,618 | py | Python | dev/IncompressibleLiquids/data_incompressible.py | perrante/coolprop | c67ecc570e545d624c18feaf2a01e48b63ae1501 | [
"MIT"
] | 12 | 2015-04-21T07:43:09.000Z | 2021-11-09T08:35:58.000Z | dev/IncompressibleLiquids/data_incompressible.py | perrante/coolprop | c67ecc570e545d624c18feaf2a01e48b63ae1501 | [
"MIT"
] | 32 | 2015-01-04T05:05:05.000Z | 2017-12-13T18:03:29.000Z | dev/IncompressibleLiquids/data_incompressible.py | perrante/coolprop | c67ecc570e545d624c18feaf2a01e48b63ae1501 | [
"MIT"
] | 8 | 2015-01-01T21:15:37.000Z | 2020-08-05T13:31:50.000Z | import numpy
class LiquidData(object):
"""
A base class that defines all the variables needed
in order to make a proper fit. You can copy this code
put in your data and some documentation for where the
information came from.
"""
Name = None # Name of the current fluid
Desc = None # Name of the current fluid
Tmin = None # Minimum temperature in K
TminPsat = None # Minimum saturation temperature in K
Tmax = None # Maximum temperature in K
T = None # Temperature for data points in K
rho = None # Density in kg/m3
c_p = None # Heat capacity in J/(kg.K)
lam = None # Thermal conductivity in W/(m.K)
mu_dyn = None # Dynamic viscosity in Pa.s
psat = None # Saturation pressure in Pa
class Example(LiquidData):
"""
Heat transfer fluid TherminolD12 by Solutia
"""
Name = "Example"
Tmin = -85 + 273.15
TminPsat= 40 + 273.15
Tmax = 260 + 273.15
T = numpy.array([ 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150])+273.15 # Kelvin
rho = numpy.array([ 740, 733, 726, 717, 710, 702, 695, 687, 679, 670, 662]) # kg/m3
c_p = numpy.array([ 2235, 2280, 2326, 2361, 2406, 2445, 2485, 2528, 2571, 2607, 2645]) # J/kg-K
lam = numpy.array([0.105, 0.104, 0.102, 0.100, 0.098, 0.096, 0.095, 0.093, 0.091, 0.089, 0.087]) # W/m-K
mu_dyn = numpy.array([0.804, 0.704, 0.623, 0.556, 0.498, 0.451, 0.410, 0.374, 0.346, 0.317, 0.289]) # Pa-s
psat = numpy.array([ 0.5, 0.9, 1.4, 2.3, 3.9, 6.0, 8.7, 12.4, 17.6, 24.4, 33.2]) # Pa
#class TherminolD12(LiquidData):
# """
# Heat transfer fluid Therminol D12 by Solutia
# Source: http://twt.mpei.ac.ru/MCS/Worksheets/HEDH/.%5C..%5C..%5C..%5CTTHB%5CHEDH%5CHTF-D12.PDF
# """
# Tmin = -85 + 273.15
# TminPsat= 40 + 273.15
# Tmax = 260 + 273.15
# T = numpy.array([ 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150])+273.15 # Kelvin
# rho = numpy.array([ 740, 733, 726, 717, 710, 702, 695, 687, 679, 670, 662]) # kg/m3
# c_p = numpy.array([ 2235, 2280, 2326, 2361, 2406, 2445, 2485, 2528, 2571, 2607, 2645])/1000. # kJ/kg-K
# lam = numpy.array([0.105, 0.104, 0.102, 0.100, 0.098, 0.096, 0.095, 0.093, 0.091, 0.089, 0.087])/1000. # kW/m-K
# mu_dyn = numpy.array([0.804, 0.704, 0.623, 0.556, 0.498, 0.451, 0.410, 0.374, 0.346, 0.317, 0.289])/1000. # Pa-s
# psat = numpy.array([ 0.5, 0.9, 1.4, 2.3, 3.9, 6.0, 8.7, 12.4, 17.6, 24.4, 33.2]) # kPa
class TherminolD12(LiquidData):
"""
Heat transfer fluid Therminol D12 by Solutia
Source: Therminol Heat Transfer Reference Disk
"""
T = numpy.array([-8.50000E+1, -8.00000E+1, -7.50000E+1, -7.00000E+1, -6.50000E+1, -6.00000E+1, -5.50000E+1, -5.00000E+1, -4.50000E+1, -4.00000E+1, -3.50000E+1, -3.00000E+1, -2.50000E+1, -2.00000E+1, -1.50000E+1, -1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2])+273.15 # Kelvin
rho = numpy.array([+8.35000E+2, +8.32000E+2, +8.28000E+2, +8.25000E+2, +8.22000E+2, +8.18000E+2, +8.15000E+2, +8.11000E+2, +8.08000E+2, +8.05000E+2, +8.01000E+2, +7.98000E+2, +7.94000E+2, +7.91000E+2, +7.87000E+2, +7.84000E+2, +7.80000E+2, +7.77000E+2, +7.73000E+2, +7.70000E+2, +7.66000E+2, +7.62000E+2, +7.59000E+2, +7.55000E+2, +7.52000E+2, +7.48000E+2, +7.44000E+2, +7.41000E+2, +7.37000E+2, +7.33000E+2, +7.29000E+2, +7.26000E+2, +7.22000E+2, +7.18000E+2, +7.14000E+2, +7.10000E+2, +7.06000E+2, +7.03000E+2, +6.99000E+2, +6.95000E+2, +6.91000E+2, +6.87000E+2, +6.82000E+2, +6.78000E+2, +6.74000E+2, +6.70000E+2, +6.66000E+2, +6.61000E+2, +6.57000E+2, +6.53000E+2, +6.48000E+2, +6.44000E+2, +6.39000E+2, +6.35000E+2, +6.30000E+2, +6.25000E+2, +6.20000E+2, +6.16000E+2, +6.11000E+2, +6.06000E+2, +6.00000E+2, +5.95000E+2, +5.90000E+2, +5.84000E+2]) # kg/m3
c_p = numpy.array([+1.69400E+0, +1.71200E+0, +1.73100E+0, +1.75000E+0, +1.76800E+0, +1.78700E+0, +1.80600E+0, +1.82400E+0, +1.84300E+0, +1.86200E+0, +1.88100E+0, +1.90000E+0, +1.91900E+0, +1.93800E+0, +1.95700E+0, +1.97700E+0, +1.99600E+0, +2.01500E+0, +2.03500E+0, +2.05400E+0, +2.07300E+0, +2.09300E+0, +2.11300E+0, +2.13200E+0, +2.15200E+0, +2.17200E+0, +2.19100E+0, +2.21100E+0, +2.23100E+0, +2.25100E+0, +2.27100E+0, +2.29100E+0, +2.31200E+0, +2.33200E+0, +2.35200E+0, +2.37300E+0, +2.39300E+0, +2.41400E+0, +2.43400E+0, +2.45500E+0, +2.47600E+0, +2.49600E+0, +2.51700E+0, +2.53800E+0, +2.55900E+0, +2.58000E+0, +2.60200E+0, +2.62300E+0, +2.64400E+0, +2.66600E+0, +2.68700E+0, +2.70900E+0, +2.73100E+0, +2.75300E+0, +2.77500E+0, +2.79700E+0, +2.82000E+0, +2.84200E+0, +2.86500E+0, +2.88800E+0, +2.91100E+0, +2.93500E+0, +2.95900E+0, +2.98300E+0])*1000. # J/kg-K
lam = numpy.array([+1.24400E-1, +1.23800E-1, +1.23200E-1, +1.22500E-1, +1.21900E-1, +1.21300E-1, +1.20600E-1, +1.20000E-1, +1.19300E-1, +1.18600E-1, +1.18000E-1, +1.17300E-1, +1.16600E-1, +1.15900E-1, +1.15200E-1, +1.14500E-1, +1.13700E-1, +1.13000E-1, +1.12200E-1, +1.11500E-1, +1.10700E-1, +1.10000E-1, +1.09200E-1, +1.08400E-1, +1.07600E-1, +1.06800E-1, +1.06000E-1, +1.05200E-1, +1.04400E-1, +1.03500E-1, +1.02700E-1, +1.01900E-1, +1.01000E-1, +1.00100E-1, +9.93000E-2, +9.84000E-2, +9.75000E-2, +9.66000E-2, +9.57000E-2, +9.48000E-2, +9.39000E-2, +9.29000E-2, +9.20000E-2, +9.10000E-2, +9.01000E-2, +8.91000E-2, +8.82000E-2, +8.72000E-2, +8.62000E-2, +8.52000E-2, +8.42000E-2, +8.32000E-2, +8.22000E-2, +8.12000E-2, +8.01000E-2, +7.91000E-2, +7.80000E-2, +7.70000E-2, +7.59000E-2, +7.48000E-2, +7.38000E-2, +7.27000E-2, +7.16000E-2, +7.05000E-2]) # W/m-K
mu_dyn = numpy.array([+3.59000E-1, +1.77000E-1, +9.59000E-2, +5.64000E-2, +3.55000E-2, +2.36000E-2, +1.65000E-2, +1.20000E-2, +9.07000E-3, +7.06000E-3, +5.63000E-3, +4.60000E-3, +3.82000E-3, +3.24000E-3, +2.78000E-3, +2.41000E-3, +2.12000E-3, +1.88000E-3, +1.69000E-3, +1.52000E-3, +1.38000E-3, +1.26000E-3, +1.16000E-3, +1.07000E-3, +9.88000E-4, +9.18000E-4, +8.56000E-4, +8.00000E-4, +7.50000E-4, +7.05000E-4, +6.64000E-4, +6.26000E-4, +5.92000E-4, +5.61000E-4, +5.31000E-4, +5.04000E-4, +4.79000E-4, +4.56000E-4, +4.35000E-4, +4.14000E-4, +3.95000E-4, +3.78000E-4, +3.61000E-4, +3.45000E-4, +3.30000E-4, +3.16000E-4, +3.03000E-4, +2.90000E-4, +2.78000E-4, +2.67000E-4, +2.57000E-4, +2.46000E-4, +2.37000E-4, +2.27000E-4, +2.19000E-4, +2.10000E-4, +2.02000E-4, +1.95000E-4, +1.87000E-4, +1.80000E-4, +1.74000E-4, +1.67000E-4, +1.61000E-4, +1.56000E-4]) # Pa-s
psat = numpy.array([+4.75000E-9, +2.07000E-8, +8.08000E-8, +2.81000E-7, +8.86000E-7, +2.56000E-6, +6.82000E-6, +1.70000E-5, +3.96000E-5, +8.75000E-5, +1.84000E-4, +3.68000E-4, +7.06000E-4, +1.30000E-3, +2.33000E-3, +4.02000E-3, +6.75000E-3, +1.10000E-2, +1.76000E-2, +2.73000E-2, +4.16000E-2, +6.21000E-2, +9.10000E-2, +1.31000E-1, +1.86000E-1, +2.59000E-1, +3.56000E-1, +4.84000E-1, +6.48000E-1, +8.59000E-1, +1.13000E+0, +1.46000E+0, +1.88000E+0, +2.39000E+0, +3.01000E+0, +3.77000E+0, +4.68000E+0, +5.76000E+0, +7.05000E+0, +8.57000E+0, +1.03000E+1, +1.24000E+1, +1.48000E+1, +1.76000E+1, +2.08000E+1, +2.44000E+1, +2.85000E+1, +3.32000E+1, +3.84000E+1, +4.43000E+1, +5.09000E+1, +5.83000E+1, +6.64000E+1, +7.55000E+1, +8.55000E+1, +9.65000E+1, +1.09000E+2, +1.22000E+2, +1.36000E+2, +1.52000E+2, +1.69000E+2, +1.88000E+2, +2.08000E+2, +2.29000E+2])*1000. # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmin
Name = "TD12"
Desc = "TherminolD12"
class TherminolVP1(LiquidData):
"""
Heat transfer fluid Therminol VP-1 by Solutia
Source: Therminol Heat Transfer Reference Disk
"""
T = numpy.array([+1.20000E+1, +1.70000E+1, +2.20000E+1, +2.70000E+1, +3.20000E+1, +3.70000E+1, +4.20000E+1, +4.70000E+1, +5.20000E+1, +5.70000E+1, +6.20000E+1, +6.70000E+1, +7.20000E+1, +7.70000E+1, +8.20000E+1, +8.70000E+1, +9.20000E+1, +9.70000E+1, +1.02000E+2, +1.07000E+2, +1.12000E+2, +1.17000E+2, +1.22000E+2, +1.27000E+2, +1.32000E+2, +1.37000E+2, +1.42000E+2, +1.47000E+2, +1.52000E+2, +1.57000E+2, +1.62000E+2, +1.67000E+2, +1.72000E+2, +1.77000E+2, +1.82000E+2, +1.87000E+2, +1.92000E+2, +1.97000E+2, +2.02000E+2, +2.07000E+2, +2.12000E+2, +2.17000E+2, +2.22000E+2, +2.27000E+2, +2.32000E+2, +2.37000E+2, +2.42000E+2, +2.47000E+2, +2.52000E+2, +2.57000E+2, +2.62000E+2, +2.67000E+2, +2.72000E+2, +2.77000E+2, +2.82000E+2, +2.87000E+2, +2.92000E+2, +2.97000E+2, +3.02000E+2, +3.07000E+2, +3.12000E+2, +3.17000E+2, +3.22000E+2, +3.27000E+2, +3.32000E+2, +3.37000E+2, +3.42000E+2, +3.47000E+2, +3.52000E+2, +3.57000E+2, +3.62000E+2, +3.67000E+2, +3.72000E+2, +3.77000E+2, +3.82000E+2, +3.87000E+2, +3.92000E+2, +3.97000E+2])+273.15 # Kelvin
rho = numpy.array([+1.07000E+3, +1.07000E+3, +1.06000E+3, +1.06000E+3, +1.05000E+3, +1.05000E+3, +1.05000E+3, +1.04000E+3, +1.04000E+3, +1.03000E+3, +1.03000E+3, +1.03000E+3, +1.02000E+3, +1.02000E+3, +1.01000E+3, +1.01000E+3, +1.01000E+3, +1.00000E+3, +9.97000E+2, +9.93000E+2, +9.88000E+2, +9.84000E+2, +9.80000E+2, +9.76000E+2, +9.72000E+2, +9.67000E+2, +9.63000E+2, +9.59000E+2, +9.55000E+2, +9.50000E+2, +9.46000E+2, +9.42000E+2, +9.37000E+2, +9.33000E+2, +9.29000E+2, +9.24000E+2, +9.20000E+2, +9.15000E+2, +9.11000E+2, +9.06000E+2, +9.02000E+2, +8.98000E+2, +8.93000E+2, +8.89000E+2, +8.84000E+2, +8.79000E+2, +8.75000E+2, +8.70000E+2, +8.65000E+2, +8.60000E+2, +8.56000E+2, +8.51000E+2, +8.46000E+2, +8.41000E+2, +8.36000E+2, +8.31000E+2, +8.25000E+2, +8.20000E+2, +8.15000E+2, +8.10000E+2, +8.04000E+2, +7.99000E+2, +7.93000E+2, +7.88000E+2, +7.82000E+2, +7.76000E+2, +7.70000E+2, +7.65000E+2, +7.59000E+2, +7.52000E+2, +7.46000E+2, +7.40000E+2, +7.33000E+2, +7.27000E+2, +7.20000E+2, +7.13000E+2, +7.06000E+2, +6.99000E+2]) # kg/m3
c_p = numpy.array([+1.52300E+0, +1.53700E+0, +1.55200E+0, +1.56600E+0, +1.58100E+0, +1.59600E+0, +1.61000E+0, +1.62400E+0, +1.63900E+0, +1.65300E+0, +1.66800E+0, +1.68200E+0, +1.69600E+0, +1.71000E+0, +1.72400E+0, +1.73900E+0, +1.75300E+0, +1.76700E+0, +1.78100E+0, +1.79500E+0, +1.80900E+0, +1.82200E+0, +1.83600E+0, +1.85000E+0, +1.86400E+0, +1.87800E+0, +1.89100E+0, +1.90500E+0, +1.91900E+0, +1.93200E+0, +1.94600E+0, +1.95900E+0, +1.97300E+0, +1.98600E+0, +2.00000E+0, +2.01300E+0, +2.02700E+0, +2.04000E+0, +2.05400E+0, +2.06700E+0, +2.08000E+0, +2.09300E+0, +2.10700E+0, +2.12000E+0, +2.13300E+0, +2.14700E+0, +2.16000E+0, +2.17300E+0, +2.18600E+0, +2.19900E+0, +2.21300E+0, +2.22600E+0, +2.23900E+0, +2.25200E+0, +2.26600E+0, +2.27900E+0, +2.29300E+0, +2.30600E+0, +2.31900E+0, +2.33300E+0, +2.34700E+0, +2.36000E+0, +2.37400E+0, +2.38800E+0, +2.40200E+0, +2.41600E+0, +2.43100E+0, +2.44600E+0, +2.46000E+0, +2.47600E+0, +2.49100E+0, +2.50700E+0, +2.52300E+0, +2.54000E+0, +2.55800E+0, +2.57600E+0, +2.59500E+0, +2.61500E+0])*1000. # J/kg-K
lam = numpy.array([+1.37000E-1, +1.36600E-1, +1.36100E-1, +1.35600E-1, +1.35200E-1, +1.34700E-1, +1.34200E-1, +1.33600E-1, +1.33100E-1, +1.32600E-1, +1.32000E-1, +1.31500E-1, +1.30900E-1, +1.30400E-1, +1.29800E-1, +1.29200E-1, +1.28600E-1, +1.28000E-1, +1.27400E-1, +1.26800E-1, +1.26200E-1, +1.25600E-1, +1.24900E-1, +1.24300E-1, +1.23600E-1, +1.22900E-1, +1.22300E-1, +1.21600E-1, +1.20900E-1, +1.20200E-1, +1.19500E-1, +1.18700E-1, +1.18000E-1, +1.17300E-1, +1.16500E-1, +1.15800E-1, +1.15000E-1, +1.14200E-1, +1.13500E-1, +1.12700E-1, +1.11900E-1, +1.11100E-1, +1.10300E-1, +1.09400E-1, +1.08600E-1, +1.07800E-1, +1.06900E-1, +1.06000E-1, +1.05200E-1, +1.04300E-1, +1.03400E-1, +1.02500E-1, +1.01600E-1, +1.00700E-1, +9.98000E-2, +9.89000E-2, +9.79000E-2, +9.70000E-2, +9.60000E-2, +9.51000E-2, +9.41000E-2, +9.31000E-2, +9.21000E-2, +9.11000E-2, +9.01000E-2, +8.91000E-2, +8.81000E-2, +8.71000E-2, +8.60000E-2, +8.50000E-2, +8.39000E-2, +8.29000E-2, +8.18000E-2, +8.07000E-2, +7.96000E-2, +7.85000E-2, +7.74000E-2, +7.63000E-2]) # W/m-K
mu_dyn = numpy.array([+5.48000E-3, +4.68000E-3, +4.05000E-3, +3.54000E-3, +3.12000E-3, +2.78000E-3, +2.49000E-3, +2.24000E-3, +2.04000E-3, +1.86000E-3, +1.70000E-3, +1.57000E-3, +1.45000E-3, +1.34000E-3, +1.25000E-3, +1.16000E-3, +1.09000E-3, +1.02000E-3, +9.62000E-4, +9.06000E-4, +8.56000E-4, +8.10000E-4, +7.68000E-4, +7.29000E-4, +6.93000E-4, +6.60000E-4, +6.30000E-4, +6.01000E-4, +5.75000E-4, +5.51000E-4, +5.28000E-4, +5.06000E-4, +4.86000E-4, +4.67000E-4, +4.50000E-4, +4.33000E-4, +4.18000E-4, +4.03000E-4, +3.89000E-4, +3.76000E-4, +3.64000E-4, +3.52000E-4, +3.41000E-4, +3.30000E-4, +3.20000E-4, +3.10000E-4, +3.01000E-4, +2.93000E-4, +2.84000E-4, +2.77000E-4, +2.69000E-4, +2.62000E-4, +2.55000E-4, +2.48000E-4, +2.42000E-4, +2.36000E-4, +2.30000E-4, +2.25000E-4, +2.19000E-4, +2.14000E-4, +2.09000E-4, +2.04000E-4, +2.00000E-4, +1.96000E-4, +1.91000E-4, +1.87000E-4, +1.83000E-4, +1.80000E-4, +1.76000E-4, +1.72000E-4, +1.69000E-4, +1.66000E-4, +1.62000E-4, +1.59000E-4, +1.56000E-4, +1.53000E-4, +1.51000E-4, +1.48000E-4]) # Pa-s
psat = numpy.array([+5.76000E-4, +9.86000E-4, +1.65000E-3, +2.68000E-3, +4.27000E-3, +6.67000E-3, +1.02000E-2, +1.53000E-2, +2.26000E-2, +3.29000E-2, +4.71000E-2, +6.65000E-2, +9.26000E-2, +1.27000E-1, +1.73000E-1, +2.32000E-1, +3.09000E-1, +4.07000E-1, +5.30000E-1, +6.85000E-1, +8.77000E-1, +1.11000E+0, +1.40000E+0, +1.76000E+0, +2.18000E+0, +2.70000E+0, +3.31000E+0, +4.03000E+0, +4.88000E+0, +5.88000E+0, +7.05000E+0, +8.40000E+0, +9.96000E+0, +1.18000E+1, +1.38000E+1, +1.62000E+1, +1.89000E+1, +2.19000E+1, +2.53000E+1, +2.92000E+1, +3.35000E+1, +3.84000E+1, +4.37000E+1, +4.97000E+1, +5.63000E+1, +6.37000E+1, +7.17000E+1, +8.06000E+1, +9.03000E+1, +1.01000E+2, +1.13000E+2, +1.25000E+2, +1.39000E+2, +1.54000E+2, +1.70000E+2, +1.87000E+2, +2.06000E+2, +2.26000E+2, +2.48000E+2, +2.71000E+2, +2.96000E+2, +3.23000E+2, +3.51000E+2, +3.82000E+2, +4.14000E+2, +4.48000E+2, +4.85000E+2, +5.24000E+2, +5.64000E+2, +6.08000E+2, +6.54000E+2, +7.02000E+2, +7.53000E+2, +8.06000E+2, +8.62000E+2, +9.21000E+2, +9.83000E+2, +1.05000E+3])*1000. # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmin
Name = "TVP1"
Desc = "TherminolVP1"
class Therminol66(LiquidData):
"""
Heat transfer fluid Therminol 66 by Solutia
Source: Therminol Heat Transfer Reference Disk
"""
temp = numpy.linspace(0, 380, 30) # Celsius temperaure
def f_rho( T_C):
return -0.614254 * T_C - 0.000321 * T_C**2 + 1020.62
def f_cp( T_C):
return 0.003313 * T_C + 0.0000008970785 * T_C**2 + 1.496005
def f_mu( T_C):
return numpy.exp(586.375/(T_C+62.5) -2.2809 )
def f_lam( T_C):
return -0.000033 * T_C - 0.00000015 * T_C**2 + 0.118294
def f_psa( T_C):
return numpy.exp(-9094.51/(T_C+340) + 17.6371 )
T = temp + 273.15 # Kelvin
rho = f_rho(temp) # kg/m3
c_p = f_cp(temp)*1e3 # J/kg-K
lam = f_lam(temp) # W/m-K
# Viscosity: Pa-s (dynamic = kinematic * rho)
# mm2/s /1e6 -> m2/s * kg/m3 = kg/s/m = Pa s
mu_dyn = f_mu(temp)/1e6 * rho
psat = f_psa(temp) * 1e3 # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= 70+273.15
Name = "T66"
Desc = "Therminol66"
class Therminol72(LiquidData):
"""
Heat transfer fluid Therminol 72 by Solutia
Source: Therminol Heat Transfer Reference Disk
"""
T = numpy.array([-1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2, +2.35000E+2, +2.40000E+2, +2.45000E+2, +2.50000E+2, +2.55000E+2, +2.60000E+2, +2.65000E+2, +2.70000E+2, +2.75000E+2, +2.80000E+2, +2.85000E+2, +2.90000E+2, +2.95000E+2, +3.00000E+2, +3.05000E+2, +3.10000E+2, +3.15000E+2, +3.20000E+2, +3.25000E+2, +3.30000E+2, +3.35000E+2, +3.40000E+2, +3.45000E+2, +3.50000E+2, +3.55000E+2, +3.60000E+2, +3.65000E+2, +3.70000E+2, +3.75000E+2, +3.80000E+2])+273.15 # Kelvin
rho = numpy.array([+1.11000E+3, +1.10000E+3, +1.10000E+3, +1.09000E+3, +1.09000E+3, +1.08000E+3, +1.08000E+3, +1.07000E+3, +1.07000E+3, +1.07000E+3, +1.06000E+3, +1.06000E+3, +1.05000E+3, +1.05000E+3, +1.04000E+3, +1.04000E+3, +1.03000E+3, +1.03000E+3, +1.02000E+3, +1.02000E+3, +1.02000E+3, +1.01000E+3, +1.01000E+3, +1.00000E+3, +9.97000E+2, +9.93000E+2, +9.88000E+2, +9.84000E+2, +9.79000E+2, +9.74000E+2, +9.70000E+2, +9.65000E+2, +9.61000E+2, +9.56000E+2, +9.52000E+2, +9.47000E+2, +9.43000E+2, +9.38000E+2, +9.34000E+2, +9.29000E+2, +9.25000E+2, +9.20000E+2, +9.16000E+2, +9.11000E+2, +9.06000E+2, +9.02000E+2, +8.98000E+2, +8.93000E+2, +8.89000E+2, +8.84000E+2, +8.80000E+2, +8.75000E+2, +8.71000E+2, +8.66000E+2, +8.62000E+2, +8.57000E+2, +8.53000E+2, +8.48000E+2, +8.44000E+2, +8.39000E+2, +8.34000E+2, +8.30000E+2, +8.25000E+2, +8.21000E+2, +8.16000E+2, +8.12000E+2, +8.07000E+2, +8.03000E+2, +7.98000E+2, +7.94000E+2, +7.89000E+2, +7.85000E+2, +7.80000E+2, +7.76000E+2, +7.71000E+2, +7.66000E+2, +7.62000E+2, +7.57000E+2, +7.53000E+2]) # kg/m3
c_p = numpy.array([+1.47100E+0, +1.48400E+0, +1.49800E+0, +1.51200E+0, +1.52500E+0, +1.53900E+0, +1.55200E+0, +1.56600E+0, +1.57900E+0, +1.59300E+0, +1.60600E+0, +1.62000E+0, +1.63400E+0, +1.64700E+0, +1.66100E+0, +1.67400E+0, +1.68800E+0, +1.70100E+0, +1.71500E+0, +1.72800E+0, +1.74200E+0, +1.75500E+0, +1.76900E+0, +1.78300E+0, +1.79600E+0, +1.81000E+0, +1.82300E+0, +1.83700E+0, +1.85000E+0, +1.86400E+0, +1.87700E+0, +1.89100E+0, +1.90500E+0, +1.91800E+0, +1.93200E+0, +1.94500E+0, +1.95900E+0, +1.97200E+0, +1.98600E+0, +1.99900E+0, +2.01300E+0, +2.02600E+0, +2.04000E+0, +2.05400E+0, +2.06700E+0, +2.08100E+0, +2.09400E+0, +2.10800E+0, +2.12100E+0, +2.13500E+0, +2.14800E+0, +2.16200E+0, +2.17600E+0, +2.18900E+0, +2.20300E+0, +2.21600E+0, +2.23000E+0, +2.24300E+0, +2.25700E+0, +2.27000E+0, +2.28400E+0, +2.29700E+0, +2.31100E+0, +2.32500E+0, +2.33800E+0, +2.35200E+0, +2.36500E+0, +2.37900E+0, +2.39200E+0, +2.40600E+0, +2.41900E+0, +2.43300E+0, +2.44600E+0, +2.46000E+0, +2.47400E+0, +2.48700E+0, +2.50100E+0, +2.51400E+0, +2.52800E+0])*1000. # J/kg-K
lam = numpy.array([+1.43200E-1, +1.42600E-1, +1.42000E-1, +1.41400E-1, +1.40800E-1, +1.40200E-1, +1.39600E-1, +1.39000E-1, +1.38400E-1, +1.37800E-1, +1.37100E-1, +1.36500E-1, +1.35900E-1, +1.35300E-1, +1.34700E-1, +1.34100E-1, +1.33500E-1, +1.32900E-1, +1.32300E-1, +1.31700E-1, +1.31100E-1, +1.30500E-1, +1.29900E-1, +1.29300E-1, +1.28700E-1, +1.28000E-1, +1.27400E-1, +1.26800E-1, +1.26200E-1, +1.25600E-1, +1.25000E-1, +1.24400E-1, +1.23800E-1, +1.23200E-1, +1.22600E-1, +1.22000E-1, +1.21400E-1, +1.20800E-1, +1.20200E-1, +1.19600E-1, +1.18900E-1, +1.18300E-1, +1.17700E-1, +1.17100E-1, +1.16500E-1, +1.15900E-1, +1.15300E-1, +1.14700E-1, +1.14100E-1, +1.13500E-1, +1.12900E-1, +1.12300E-1, +1.11700E-1, +1.11100E-1, +1.10500E-1, +1.09800E-1, +1.09200E-1, +1.08600E-1, +1.08000E-1, +1.07400E-1, +1.06800E-1, +1.06200E-1, +1.05600E-1, +1.05000E-1, +1.04400E-1, +1.03800E-1, +1.03200E-1, +1.02600E-1, +1.02000E-1, +1.01400E-1, +1.00700E-1, +1.00100E-1, +9.95000E-2, +9.89000E-2, +9.83000E-2, +9.77000E-2, +9.71000E-2, +9.65000E-2, +9.59000E-2]) # W/m-K
mu_dyn = numpy.array([+3.83000E-1, +1.19000E-1, +5.92000E-2, +3.60000E-2, +2.44000E-2, +1.77000E-2, +1.35000E-2, +1.07000E-2, +8.68000E-3, +7.21000E-3, +6.09000E-3, +5.21000E-3, +4.52000E-3, +3.96000E-3, +3.50000E-3, +3.12000E-3, +2.79000E-3, +2.52000E-3, +2.28000E-3, +2.08000E-3, +1.90000E-3, +1.75000E-3, +1.61000E-3, +1.49000E-3, +1.38000E-3, +1.29000E-3, +1.20000E-3, +1.12000E-3, +1.05000E-3, +9.86000E-4, +9.28000E-4, +8.74000E-4, +8.25000E-4, +7.79000E-4, +7.38000E-4, +6.99000E-4, +6.64000E-4, +6.31000E-4, +6.00000E-4, +5.72000E-4, +5.45000E-4, +5.20000E-4, +4.97000E-4, +4.75000E-4, +4.55000E-4, +4.36000E-4, +4.18000E-4, +4.01000E-4, +3.85000E-4, +3.70000E-4, +3.55000E-4, +3.42000E-4, +3.29000E-4, +3.17000E-4, +3.05000E-4, +2.95000E-4, +2.84000E-4, +2.74000E-4, +2.65000E-4, +2.56000E-4, +2.47000E-4, +2.39000E-4, +2.31000E-4, +2.24000E-4, +2.17000E-4, +2.10000E-4, +2.03000E-4, +1.97000E-4, +1.91000E-4, +1.85000E-4, +1.80000E-4, +1.75000E-4, +1.69000E-4, +1.65000E-4, +1.60000E-4, +1.55000E-4, +1.51000E-4, +1.47000E-4, +1.43000E-4]) # Pa-s
psat = numpy.array([+9.60000E-1, +1.05000E+0, +1.14000E+0, +1.24000E+0, +1.35000E+0, +1.47000E+0, +1.60000E+0, +1.74000E+0, +1.89000E+0, +2.06000E+0, +2.24000E+0, +2.44000E+0, +2.65000E+0, +2.88000E+0, +3.14000E+0, +3.41000E+0, +3.71000E+0, +4.03000E+0, +4.39000E+0, +4.77000E+0, +5.18000E+0, +5.63000E+0, +6.12000E+0, +6.66000E+0, +7.23000E+0, +7.86000E+0, +8.54000E+0, +9.27000E+0, +1.01000E+1, +1.10000E+1, +1.19000E+1, +1.29000E+1, +1.40000E+1, +1.52000E+1, +1.65000E+1, +1.80000E+1, +1.95000E+1, +2.12000E+1, +2.30000E+1, +2.49000E+1, +2.71000E+1, +2.94000E+1, +3.19000E+1, +3.46000E+1, +3.75000E+1, +4.07000E+1, +4.42000E+1, +4.79000E+1, +5.20000E+1, +5.64000E+1, +6.11000E+1, +6.63000E+1, +7.19000E+1, +7.79000E+1, +8.45000E+1, +9.15000E+1, +9.92000E+1, +1.08000E+2, +1.17000E+2, +1.26000E+2, +1.37000E+2, +1.48000E+2, +1.61000E+2, +1.74000E+2, +1.89000E+2, +2.04000E+2, +2.21000E+2, +2.40000E+2, +2.60000E+2, +2.81000E+2, +3.04000E+2, +3.30000E+2, +3.57000E+2, +3.86000E+2, +4.18000E+2, +4.53000E+2, +4.90000E+2, +5.30000E+2, +5.74000E+2])*1000. # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmin
Name = "T72"
Desc = "Therminol72"
class DowthermJ(LiquidData):
"""
Heat transfer fluid Dowtherm J by Dow Chemicals
Source: Dow Chemicals data sheet
"""
T = numpy.array([-8.00000E+1, -7.00000E+1, -6.00000E+1, -5.00000E+1, -4.00000E+1, -3.00000E+1, -2.00000E+1, -1.00000E+1, +0.00000E+0, +1.00000E+1, +2.00000E+1, +3.00000E+1, +4.00000E+1, +5.00000E+1, +6.00000E+1, +7.00000E+1, +8.00000E+1, +9.00000E+1, +1.00000E+2, +1.10000E+2, +1.20000E+2, +1.30000E+2, +1.40000E+2, +1.50000E+2, +1.60000E+2, +1.70000E+2, +1.80000E+2, +1.81300E+2, +1.90000E+2, +2.00000E+2, +2.10000E+2, +2.20000E+2, +2.30000E+2, +2.40000E+2, +2.50000E+2, +2.60000E+2, +2.70000E+2, +2.80000E+2, +2.90000E+2, +3.00000E+2, +3.10000E+2, +3.20000E+2, +3.30000E+2, +3.40000E+2, +3.45000E+2])+273.15 # Kelvin
rho = numpy.array([+9.31300E+2, +9.27900E+2, +9.21000E+2, +9.14100E+2, +9.07100E+2, +9.00000E+2, +8.92900E+2, +8.85700E+2, +8.78500E+2, +8.71100E+2, +8.63700E+2, +8.56200E+2, +8.48700E+2, +8.41000E+2, +8.33200E+2, +8.25400E+2, +8.17400E+2, +8.09400E+2, +8.01200E+2, +7.92900E+2, +7.84400E+2, +7.75900E+2, +7.67100E+2, +7.58300E+2, +7.49200E+2, +7.40000E+2, +7.30600E+2, +7.29300E+2, +7.20900E+2, +7.11000E+2, +7.00900E+2, +6.90500E+2, +6.79800E+2, +6.68800E+2, +6.57300E+2, +6.45500E+2, +6.33100E+2, +6.20200E+2, +6.06600E+2, +5.92200E+2, +5.76900E+2, +5.60400E+2, +5.42400E+2, +5.22400E+2, +5.11400E+2]) # kg/m3
c_p = numpy.array([+1.58400E+0, +1.59400E+0, +1.61600E+0, +1.63900E+0, +1.66300E+0, +1.68800E+0, +1.71400E+0, +1.74100E+0, +1.76900E+0, +1.79800E+0, +1.82800E+0, +1.85900E+0, +1.89000E+0, +1.92300E+0, +1.95500E+0, +1.98900E+0, +2.02300E+0, +2.05800E+0, +2.09300E+0, +2.12900E+0, +2.16500E+0, +2.20200E+0, +2.23900E+0, +2.27700E+0, +2.31500E+0, +2.35300E+0, +2.39200E+0, +2.39700E+0, +2.43200E+0, +2.47200E+0, +2.51200E+0, +2.55300E+0, +2.59400E+0, +2.63600E+0, +2.68000E+0, +2.72400E+0, +2.76900E+0, +2.81600E+0, +2.86600E+0, +2.91900E+0, +2.97600E+0, +3.04000E+0, +3.11500E+0, +3.20800E+0, +3.26500E+0])*1000. # J/kg-K
lam = numpy.array([+1.48500E-1, +1.47500E-1, +1.45300E-1, +1.43200E-1, +1.41100E-1, +1.39000E-1, +1.36800E-1, +1.34700E-1, +1.32600E-1, +1.30500E-1, +1.28400E-1, +1.26200E-1, +1.24100E-1, +1.22000E-1, +1.19900E-1, +1.17700E-1, +1.15600E-1, +1.13500E-1, +1.11400E-1, +1.09300E-1, +1.07100E-1, +1.05000E-1, +1.02900E-1, +1.00800E-1, +9.87000E-2, +9.65000E-2, +9.44000E-2, +9.41000E-2, +9.23000E-2, +9.02000E-2, +8.80000E-2, +8.59000E-2, +8.38000E-2, +8.17000E-2, +7.96000E-2, +7.74000E-2, +7.53000E-2, +7.32000E-2, +7.11000E-2, +6.90000E-2, +6.68000E-2, +6.47000E-2, +6.26000E-2, +6.05000E-2, +5.94000E-2]) # W/m-K
mu_dyn = numpy.array([+8.43000E+0, +7.11000E+0, +5.12000E+0, +3.78000E+0, +2.88000E+0, +2.25000E+0, +1.80000E+0, +1.48000E+0, +1.23000E+0, +1.05000E+0, +9.10000E-1, +7.90000E-1, +7.00000E-1, +6.30000E-1, +5.60000E-1, +5.10000E-1, +4.70000E-1, +4.30000E-1, +4.00000E-1, +3.70000E-1, +3.50000E-1, +3.30000E-1, +3.10000E-1, +2.90000E-1, +2.80000E-1, +2.70000E-1, +2.50000E-1, +2.50000E-1, +2.40000E-1, +2.30000E-1, +2.30000E-1, +2.20000E-1, +2.10000E-1, +2.00000E-1, +2.00000E-1, +1.90000E-1, +1.80000E-1, +1.80000E-1, +1.70000E-1, +1.70000E-1, +1.70000E-1, +1.60000E-1, +1.60000E-1, +1.60000E-1, +1.50000E-1])/1000. # Pa-s
psat = numpy.array([+0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +5.00000E-3, +1.00000E-2, +2.00000E-2, +3.00000E-2, +5.00000E-2, +8.00000E-2, +1.10000E-1, +1.60000E-1, +2.30000E-1, +3.20000E-1, +4.30000E-1, +5.80000E-1, +7.60000E-1, +9.80000E-1, +1.01000E+0, +1.25000E+0, +1.58000E+0, +1.97000E+0, +2.43000E+0, +2.96000E+0, +3.59000E+0, +4.30000E+0, +5.13000E+0, +6.06000E+0, +7.12000E+0, +8.31000E+0, +9.64000E+0, +1.11300E+1, +1.27900E+1, +1.46400E+1, +1.66900E+1, +1.78000E+1])*1e5 # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= 50 + 273.15
Name = "DowJ"
Desc = "DowthermJ"
class DowthermQ(LiquidData):
"""
Heat transfer fluid Dowtherm Q by Dow Chemicals
Source: Dow Chemicals data sheet
"""
T = numpy.array([-3.50000E+1, -3.00000E+1, -2.00000E+1, -1.00000E+1, +0.00000E+0, +1.00000E+1, +2.00000E+1, +3.00000E+1, +4.00000E+1, +5.00000E+1, +6.00000E+1, +7.00000E+1, +8.00000E+1, +9.00000E+1, +1.00000E+2, +1.10000E+2, +1.20000E+2, +1.30000E+2, +1.40000E+2, +1.50000E+2, +1.60000E+2, +1.70000E+2, +1.80000E+2, +1.90000E+2, +2.00000E+2, +2.10000E+2, +2.20000E+2, +2.30000E+2, +2.40000E+2, +2.50000E+2, +2.60000E+2, +2.70000E+2, +2.80000E+2, +2.90000E+2, +3.00000E+2, +3.10000E+2, +3.20000E+2, +3.30000E+2, +3.40000E+2, +3.50000E+2, +3.60000E+2])+273.15 # Kelvin
rho = numpy.array([+1.01140E+3, +1.00320E+3, +9.95600E+2, +9.88000E+2, +9.80500E+2, +9.72900E+2, +9.65400E+2, +9.57800E+2, +9.50200E+2, +9.42700E+2, +9.35100E+2, +9.27600E+2, +9.20000E+2, +9.12400E+2, +9.04900E+2, +8.97300E+2, +8.89800E+2, +8.82200E+2, +8.74600E+2, +8.67100E+2, +8.59500E+2, +8.52000E+2, +8.44400E+2, +8.36800E+2, +8.29300E+2, +8.21700E+2, +8.14200E+2, +8.06600E+2, +7.99000E+2, +7.91500E+2, +7.83900E+2, +7.76400E+2, +7.68800E+2, +7.61200E+2, +7.53700E+2, +7.46100E+2, +7.38600E+2, +7.31000E+2, +7.23400E+2, +7.15900E+2, +7.08300E+2]) # kg/m3
c_p = numpy.array([+1.47800E+0, +1.49200E+0, +1.52500E+0, +1.55700E+0, +1.58900E+0, +1.62100E+0, +1.65300E+0, +1.68500E+0, +1.71600E+0, +1.74800E+0, +1.77900E+0, +1.81100E+0, +1.84200E+0, +1.87300E+0, +1.90400E+0, +1.93500E+0, +1.96600E+0, +1.99700E+0, +2.02700E+0, +2.05800E+0, +2.08800E+0, +2.11800E+0, +2.14800E+0, +2.17800E+0, +2.20800E+0, +2.23800E+0, +2.26800E+0, +2.29700E+0, +2.32700E+0, +2.35600E+0, +2.38600E+0, +2.41500E+0, +2.44400E+0, +2.47300E+0, +2.50200E+0, +2.53000E+0, +2.55900E+0, +2.58700E+0, +2.61600E+0, +2.64400E+0, +2.67200E+0])*1000. # J/kg-K
lam = numpy.array([+1.28000E-1, +1.27700E-1, +1.26600E-1, +1.25500E-1, +1.24400E-1, +1.23200E-1, +1.22000E-1, +1.20800E-1, +1.19500E-1, +1.18300E-1, +1.17000E-1, +1.15600E-1, +1.14300E-1, +1.12900E-1, +1.11500E-1, +1.10100E-1, +1.08700E-1, +1.07200E-1, +1.05800E-1, +1.04300E-1, +1.02800E-1, +1.01300E-1, +9.98000E-2, +9.82000E-2, +9.67000E-2, +9.52000E-2, +9.36000E-2, +9.21000E-2, +9.05000E-2, +8.89000E-2, +8.74000E-2, +8.58000E-2, +8.43000E-2, +8.27000E-2, +8.11000E-2, +7.96000E-2, +7.80000E-2, +7.65000E-2, +7.49000E-2, +7.34000E-2, +7.19000E-2]) # W/m-K
mu_dyn = numpy.array([+4.66000E+1, +2.42000E+1, +1.61000E+1, +1.09000E+1, +7.56000E+0, +5.42000E+0, +4.00000E+0, +3.04000E+0, +2.37000E+0, +1.89000E+0, +1.54000E+0, +1.28000E+0, +1.07000E+0, +9.20000E-1, +8.00000E-1, +7.00000E-1, +6.20000E-1, +5.50000E-1, +5.00000E-1, +4.50000E-1, +4.10000E-1, +3.80000E-1, +3.50000E-1, +3.30000E-1, +3.10000E-1, +2.90000E-1, +2.70000E-1, +2.60000E-1, +2.40000E-1, +2.30000E-1, +2.20000E-1, +2.10000E-1, +2.00000E-1, +1.90000E-1, +1.90000E-1, +1.80000E-1, +1.70000E-1, +1.70000E-1, +1.60000E-1, +1.60000E-1, +1.50000E-1])/1000. # Pa-s
psat = numpy.array([+0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +5.00000E-3, +1.00000E-2, +2.00000E-2, +3.00000E-2, +5.00000E-2, +7.00000E-2, +9.00000E-2, +1.30000E-1, +1.70000E-1, +2.30000E-1, +3.10000E-1, +4.00000E-1, +5.10000E-1, +6.40000E-1, +8.10000E-1, +1.00000E+0, +1.24000E+0, +1.51000E+0, +1.82000E+0, +2.19000E+0, +2.61000E+0, +3.09000E+0, +3.64000E+0, +4.25000E+0, +4.95000E+0])*1e5 # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= 120 + 273.15
Name = "DowQ"
Desc = "DowthermQ"
class Texatherm22(LiquidData):
"""
Heat transfer fluid Texatherm 22 by Texaco
Source: Texaco data sheet
"""
T = numpy.array([+0.00000E+0, +4.00000E+1, +5.00000E+1, +1.00000E+2, +1.50000E+2, +2.00000E+2, +2.50000E+2, +3.00000E+2, +3.50000E+2])+273.15 # Kelvin
rho = numpy.array([+8.74500E+2, +8.47300E+2, +8.42500E+2, +8.10500E+2, +7.76300E+2, +7.41600E+2, +7.03200E+2, +6.68000E+2, +6.21500E+2]) # kg/m3
c_p = numpy.array([+1.81000E+0, +1.95000E+0, +1.99000E+0, +2.18000E+0, +2.36000E+0, +2.54000E+0, +2.72000E+0, +2.90000E+0, +3.08000E+0])*1e3 # J/kg-K
lam = numpy.array([+1.35000E-1, +1.32000E-1, +1.32000E-1, +1.28000E-1, +1.25000E-1, +1.21000E-1, +1.17100E-1, +1.13000E-1, +1.10000E-1]) # W/m-K
mu_dyn = numpy.array([+4.19760E+2, +0.00000E+0, +2.31688E+1, +0.00000E+0, +2.09601E+0, +1.26072E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0])/1000. # Pa-s
psat = numpy.array([+0.00000E+0, +5.3300E-10, +4.00000E-8, +2.67000E-7, +2.27000E-5, +4.67000E-4, +6.67000E-3, +2.13000E-2, +5.33000E-2])*1e5 # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= 40 + 273.15
Name = "TX22"
Desc = "Texatherm22"
class NitrateSalt(LiquidData):
"""
Heat transfer fluid based on 60% NaNO3 and 40% KNO3
Source: Solar Power Tower Design Basis Document, Alexis B. Zavoico, Sandia Labs, USA
"""
temp = numpy.linspace(300, 600, 25) # Celsius temperaure
def f_rho( T_C):
return 2090 - 0.636 * T_C
def f_cp( T_C):
return 1443 + 0.172 * T_C
def f_mu( T_C):
return 22.714 - 0.120 * T_C + 2.281 * 1e-4 * T_C*T_C - 1.474 * 1e-7 * T_C*T_C*T_C
def f_lam( T_C):
return 0.443 + 1.9e-4 * T_C
T = temp + 273.15 # Kelvin
rho = f_rho(temp) # kg/m3
c_p = f_cp(temp) # J/kg-K
lam = f_lam(temp) # W/m-K
mu_dyn = f_mu(temp)/1e3 # Pa-s
psat = temp * 0 # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "NaK"
Desc = "NitrateSalt"
class SylthermXLT(LiquidData):
"""
Heat transfer fluid Syltherm XLT by Dow Chemicals
Source: Dow Chemicals data sheet
"""
T = numpy.array([-1.00000E+2, -9.50000E+1, -9.00000E+1, -8.50000E+1, -8.00000E+1, -7.50000E+1, -7.00000E+1, -6.50000E+1, -6.00000E+1, -5.50000E+1, -5.00000E+1, -4.50000E+1, -4.00000E+1, -3.50000E+1, -3.00000E+1, -2.50000E+1, -2.00000E+1, -1.50000E+1, -1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2, +2.35000E+2, +2.40000E+2, +2.45000E+2, +2.50000E+2, +2.55000E+2, +2.60000E+2])+273.15 # Kelvin
rho = numpy.array([+9.78500E+2, +9.73400E+2, +9.68300E+2, +9.63100E+2, +9.58000E+2, +9.52900E+2, +9.47700E+2, +9.42600E+2, +9.37500E+2, +9.32300E+2, +9.27200E+2, +9.22000E+2, +9.16900E+2, +9.11800E+2, +9.06600E+2, +9.01500E+2, +8.96400E+2, +8.91200E+2, +8.86100E+2, +8.81000E+2, +8.75800E+2, +8.70700E+2, +8.65500E+2, +8.60400E+2, +8.55300E+2, +8.50100E+2, +8.45000E+2, +8.39900E+2, +8.34700E+2, +8.29600E+2, +8.24500E+2, +8.19300E+2, +8.14200E+2, +8.09100E+2, +8.03900E+2, +7.98800E+2, +7.93600E+2, +7.88500E+2, +7.83400E+2, +7.78200E+2, +7.73100E+2, +7.68000E+2, +7.62800E+2, +7.57700E+2, +7.52600E+2, +7.47400E+2, +7.42300E+2, +7.37200E+2, +7.32000E+2, +7.26900E+2, +7.21700E+2, +7.16600E+2, +7.11500E+2, +7.06300E+2, +7.01200E+2, +6.96100E+2, +6.90900E+2, +6.85800E+2, +6.80700E+2, +6.75500E+2, +6.70400E+2, +6.65300E+2, +6.60100E+2, +6.55000E+2, +6.49800E+2, +6.44700E+2, +6.39600E+2, +6.34400E+2, +6.29300E+2, +6.24200E+2, +6.19000E+2, +6.13900E+2, +6.08800E+2]) # kg/m3
c_p = numpy.array([+1.52000E+0, +1.53000E+0, +1.54100E+0, +1.55100E+0, +1.56200E+0, +1.57200E+0, +1.58300E+0, +1.59300E+0, +1.60400E+0, +1.61400E+0, +1.62500E+0, +1.63500E+0, +1.64600E+0, +1.65600E+0, +1.66700E+0, +1.67700E+0, +1.68800E+0, +1.69800E+0, +1.70900E+0, +1.71900E+0, +1.73000E+0, +1.74000E+0, +1.75100E+0, +1.76100E+0, +1.77200E+0, +1.78200E+0, +1.79300E+0, +1.80300E+0, +1.81400E+0, +1.82400E+0, +1.83500E+0, +1.84500E+0, +1.85600E+0, +1.86600E+0, +1.87700E+0, +1.88700E+0, +1.89800E+0, +1.90800E+0, +1.91900E+0, +1.92900E+0, +1.94000E+0, +1.95000E+0, +1.96100E+0, +1.97100E+0, +1.98200E+0, +1.99200E+0, +2.00300E+0, +2.01300E+0, +2.02400E+0, +2.03400E+0, +2.04500E+0, +2.05500E+0, +2.06600E+0, +2.07600E+0, +2.08700E+0, +2.09700E+0, +2.10800E+0, +2.11800E+0, +2.12900E+0, +2.13900E+0, +2.15000E+0, +2.16000E+0, +2.17100E+0, +2.18100E+0, +2.19200E+0, +2.20200E+0, +2.21300E+0, +2.22300E+0, +2.23400E+0, +2.24400E+0, +2.25500E+0, +2.26500E+0, +2.27600E+0])*1e3 # J/kg-K
lam = numpy.array([+1.34100E-1, +1.33200E-1, +1.32400E-1, +1.31500E-1, +1.30600E-1, +1.29700E-1, +1.28800E-1, +1.27900E-1, +1.26900E-1, +1.26000E-1, +1.25000E-1, +1.24100E-1, +1.23100E-1, +1.22100E-1, +1.21100E-1, +1.20100E-1, +1.19100E-1, +1.18100E-1, +1.17100E-1, +1.16100E-1, +1.15000E-1, +1.14000E-1, +1.12900E-1, +1.11900E-1, +1.10800E-1, +1.09700E-1, +1.08600E-1, +1.07500E-1, +1.06400E-1, +1.05300E-1, +1.04200E-1, +1.03000E-1, +1.01900E-1, +1.00800E-1, +9.96000E-2, +9.84400E-2, +9.72800E-2, +9.61000E-2, +9.49200E-2, +9.37300E-2, +9.25300E-2, +9.13300E-2, +9.01200E-2, +8.89100E-2, +8.76800E-2, +8.64500E-2, +8.52200E-2, +8.39800E-2, +8.27300E-2, +8.14700E-2, +8.02100E-2, +7.89500E-2, +7.76700E-2, +7.64000E-2, +7.51100E-2, +7.38200E-2, +7.25300E-2, +7.12300E-2, +6.99200E-2, +6.86100E-2, +6.72900E-2, +6.59700E-2, +6.46500E-2, +6.33100E-2, +6.19800E-2, +6.06400E-2, +5.92900E-2, +5.79400E-2, +5.65800E-2, +5.52300E-2, +5.38600E-2, +5.24900E-2, +5.11200E-2]) # W/m-K
mu_dyn = numpy.array([+7.86100E+1, +5.01300E+1, +3.48600E+1, +2.58300E+1, +2.00400E+1, +1.60800E+1, +1.32200E+1, +1.10500E+1, +9.35600E+0, +7.99400E+0, +6.87900E+0, +5.95600E+0, +5.18400E+0, +4.53500E+0, +3.98600E+0, +3.52100E+0, +3.12600E+0, +2.78800E+0, +2.49900E+0, +2.25000E+0, +2.03500E+0, +1.84900E+0, +1.68700E+0, +1.54500E+0, +1.41900E+0, +1.30900E+0, +1.21000E+0, +1.12200E+0, +1.04300E+0, +9.72000E-1, +9.08000E-1, +8.49000E-1, +7.96000E-1, +7.48000E-1, +7.05000E-1, +6.65000E-1, +6.28000E-1, +5.95000E-1, +5.64000E-1, +5.36000E-1, +5.11000E-1, +4.87000E-1, +4.65000E-1, +4.45000E-1, +4.26000E-1, +4.09000E-1, +3.93000E-1, +3.77000E-1, +3.63000E-1, +3.50000E-1, +3.37000E-1, +3.25000E-1, +3.14000E-1, +3.03000E-1, +2.93000E-1, +2.84000E-1, +2.75000E-1, +2.66000E-1, +2.58000E-1, +2.51000E-1, +2.44000E-1, +2.38000E-1, +2.32000E-1, +2.26000E-1, +2.20000E-1, +2.15000E-1, +2.09000E-1, +2.04000E-1, +1.99000E-1, +1.94000E-1, +1.89000E-1, +1.85000E-1, +1.82000E-1])/1000. # Pa-s
psat = numpy.array([+0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0])*1e5 # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "XLT"
Desc = "SylthermXLT"
class HC50(LiquidData):
"""
Heat transfer fluid Dynalene HC-50
Source: Dynalene
"""
T = numpy.array([+2.23150E+2,+2.33150E+2,+2.43150E+2,+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2]) # Kelvin
rho = numpy.array([+1.37800E+3,+1.37300E+3,+1.36700E+3,+1.36200E+3,+1.35600E+3,+1.35100E+3,+1.34500E+3,+1.34000E+3,+1.33400E+3,+1.32800E+3,+1.32300E+3,+1.31700E+3,+1.31200E+3,+1.30600E+3,+1.30100E+3,+1.29500E+3,+1.29000E+3,+1.28400E+3,+1.27900E+3,+1.27300E+3,+1.26700E+3,+1.26200E+3,+1.25600E+3,+1.25100E+3,+1.24500E+3,+1.24000E+3,+1.23400E+3]) # kg/m3
c_p = numpy.array([+2.56300E+3,+2.58300E+3,+2.60200E+3,+2.62200E+3,+2.64200E+3,+2.66100E+3,+2.68100E+3,+2.70100E+3,+2.72000E+3,+2.74000E+3,+2.76000E+3,+2.78000E+3,+2.79900E+3,+2.81900E+3,+2.83900E+3,+2.85800E+3,+2.87800E+3,+2.89800E+3,+2.91700E+3,+2.93700E+3,+2.95700E+3,+2.97700E+3,+2.99600E+3,+3.01600E+3,+3.03600E+3,+3.05500E+3,+3.07500E+3]) # J/kg-K
lam = numpy.array([+4.35000E+2,+4.45000E+2,+4.55000E+2,+4.65000E+2,+4.75000E+2,+4.85000E+2,+4.95000E+2,+5.05000E+2,+5.15000E+2,+5.25000E+2,+5.35000E+2,+5.45000E+2,+5.55000E+2,+5.65000E+2,+5.75000E+2,+5.85000E+2,+5.95000E+2,+6.05000E+2,+6.15000E+2,+6.25000E+2,+6.35000E+2,+6.45000E+2,+6.55000E+2,+6.65000E+2,+6.75000E+2,+6.85000E+2,+6.94500E+2])/1e3 # W/m-K
mu_dyn = numpy.array([+3.84000E-2,+2.04000E-2,+1.25000E-2,+8.40000E-3,+5.99000E-3,+4.70000E-3,+3.80000E-3,+3.20000E-3,+2.70000E-3,+2.40000E-3,+2.40000E-3,+1.80000E-3,+1.60000E-3,+1.50000E-3,+1.30000E-3,+1.20000E-3,+1.10000E-3,+1.00000E-3,+9.40000E-4,+8.70000E-4,+8.10000E-4,+7.60000E-4,+7.10000E-4,+6.60000E-4,+6.20000E-4,+5.80000E-4,+5.50000E-4]) # Pa-s
psat = numpy.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+1.58579E+3,+1.93053E+3,+3.10264E+3,+5.58475E+3,+9.85950E+3,+1.64785E+4,+2.60622E+4,+3.93691E+4,+5.72954E+4,+8.06687E+4,+1.11695E+5,+1.50995E+5,+2.00637E+5,+2.63380E+5,+3.41290E+5,+4.36438E+5,+5.53649E+5,+6.95681E+5,+8.67360E+5,+1.07282E+6]) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= 20+273.15
Name = "HC50"
Desc = "Dynalene "+Name
class HC40(LiquidData):
"""
Heat transfer fluid Dynalene HC-40
Source: Dynalene
"""
T = numpy.array([+2.33150E+2,+2.43150E+2,+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.38150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2]) # Kelvin
rho = numpy.array([+1.34800E+3,+1.34300E+3,+1.33700E+3,+1.33200E+3,+1.32600E+3,+1.32100E+3,+1.31500E+3,+1.30900E+3,+1.30400E+3,+1.29800E+3,+1.29300E+3,+1.28700E+3,+1.28100E+3,+1.27600E+3,+1.27000E+3,+1.26500E+3,+1.25900E+3,+1.25300E+3,+1.24800E+3,+1.24200E+3,+1.23700E+3,+1.23400E+3,+1.23100E+3,+1.22500E+3,+1.22000E+3,+1.21400E+3]) # kg/m3
c_p = numpy.array([+2.80000E+3,+2.82000E+3,+2.84000E+3,+2.87000E+3,+2.89000E+3,+2.91000E+3,+2.93000E+3,+2.96000E+3,+2.98000E+3,+3.00000E+3,+3.03000E+3,+3.05000E+3,+3.07000E+3,+3.09000E+3,+3.12000E+3,+3.14000E+3,+3.16000E+3,+3.19000E+3,+3.21000E+3,+3.23000E+3,+3.25000E+3,+3.27000E+3,+3.28000E+3,+3.30000E+3,+3.32000E+3,+3.35000E+3]) # J/kg-K
lam = numpy.array([+4.49000E+2,+4.59000E+2,+4.69000E+2,+4.79000E+2,+4.89000E+2,+4.99000E+2,+5.09000E+2,+5.19000E+2,+5.29000E+2,+5.39000E+2,+5.49000E+2,+5.59000E+2,+5.69000E+2,+5.79000E+2,+5.89000E+2,+5.99000E+2,+6.09000E+2,+6.19000E+2,+6.29000E+2,+6.39000E+2,+6.49000E+2,+6.54000E+2,+6.59000E+2,+6.69000E+2,+6.79000E+2,+6.89000E+2])/1e3 # W/m-K
mu_dyn = numpy.array([+1.49000E-2,+9.20000E-3,+6.50000E-3,+4.90000E-3,+3.90000E-3,+3.20000E-3,+2.70000E-3,+2.30000E-3,+1.96000E-3,+1.70000E-3,+1.50000E-3,+1.40000E-3,+1.20000E-3,+1.10000E-3,+9.90000E-4,+9.10000E-4,+8.30000E-4,+7.70000E-4,+7.10000E-4,+6.60000E-4,+6.10000E-4,+5.90000E-4,+5.70000E-4,+5.30000E-4,+5.00000E-4,+4.70000E-4]) # Pa-s
psat = numpy.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+1.51685E+3,+2.20632E+3,+3.79212E+3,+6.68791E+3,+1.15142E+4,+1.87537E+4,+2.92338E+4,+4.37817E+4,+6.35007E+4,+8.96318E+4,+1.23416E+5,+1.66853E+5,+2.22701E+5,+2.92338E+5,+3.79212E+5,+4.85391E+5,+6.16391E+5,+7.74971E+5,+9.65955E+5,+1.19417E+6]) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= 20+273.15
Name = "HC40"
Desc = "Dynalene "+Name
class HC30(LiquidData):
"""
Heat transfer fluid Dynalene HC-30
Source: Dynalene
"""
T = numpy.array([+2.43150E+2,+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2]) # Kelvin
rho = numpy.array([+1.30000E+3,+1.29500E+3,+1.29000E+3,+1.28500E+3,+1.28000E+3,+1.27500E+3,+1.27000E+3,+1.26500E+3,+1.26000E+3,+1.25500E+3,+1.25000E+3,+1.24400E+3,+1.23900E+3,+1.23400E+3,+1.22900E+3,+1.22400E+3,+1.21900E+3,+1.21400E+3,+1.20900E+3,+1.20400E+3,+1.19900E+3,+1.19300E+3,+1.18800E+3,+1.18300E+3,+1.17800E+3]) # kg/m3
c_p = numpy.array([+2.96100E+3,+2.98400E+3,+3.00700E+3,+3.03100E+3,+3.05400E+3,+3.07700E+3,+3.10000E+3,+3.12300E+3,+3.14600E+3,+3.16900E+3,+3.19200E+3,+3.21500E+3,+3.23800E+3,+3.26200E+3,+3.28500E+3,+3.30800E+3,+3.33100E+3,+3.35400E+3,+3.37700E+3,+3.40000E+3,+3.42300E+3,+3.44600E+3,+3.46900E+3,+3.49300E+3,+3.51600E+3]) # J/kg-K
lam = numpy.array([+4.69000E+2,+4.79000E+2,+4.89000E+2,+4.99000E+2,+5.09000E+2,+5.19000E+2,+5.29000E+2,+5.39000E+2,+5.49000E+2,+5.59000E+2,+5.69000E+2,+5.79000E+2,+5.89000E+2,+5.99000E+2,+6.09000E+2,+6.19000E+2,+6.29000E+2,+6.39000E+2,+6.49000E+2,+6.59000E+2,+6.69000E+2,+6.79000E+2,+6.89000E+2,+6.99000E+2,+7.09000E+2])/1e3 # W/m-K
mu_dyn = numpy.array([+7.00000E-3,+5.50000E-3,+4.50000E-3,+3.70000E-3,+3.00000E-3,+2.50000E-3,+2.20000E-3,+1.90000E-3,+1.60000E-3,+1.40000E-3,+1.30000E-3,+1.10000E-3,+9.90000E-4,+8.90000E-4,+8.00000E-4,+7.30000E-4,+6.70000E-4,+6.10000E-4,+5.70000E-4,+5.20000E-4,+4.80000E-4,+4.50000E-4,+4.20000E-4,+3.90000E-4,+3.70000E-4]) # Pa-s
psat = numpy.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+1.79264E+3,+2.41317E+3,+3.99896E+3,+7.17055E+3,+1.24795E+4,+2.06153E+4,+3.23364E+4,+4.86770E+4,+7.10160E+4,+9.99740E+4,+1.37895E+5,+1.86158E+5,+2.47522E+5,+3.24743E+5,+4.20580E+5,+5.39170E+5,+6.83960E+5,+8.59087E+5,+1.07145E+6,+1.32517E+6]) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= 20+273.15
Name = "HC30"
Desc = "Dynalene "+Name
class HC20(LiquidData):
"""
Heat transfer fluid Dynalene HC-20
Source: Dynalene
"""
T = numpy.array([+2.53150E+2,+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2]) # Kelvin
rho = numpy.array([+1.25800E+3,+1.25300E+3,+1.24800E+3,+1.24200E+3,+1.23700E+3,+1.23200E+3,+1.22700E+3,+1.22200E+3,+1.21600E+3,+1.21100E+3,+1.20600E+3,+1.20100E+3,+1.19600E+3,+1.19100E+3,+1.18500E+3,+1.18000E+3,+1.17500E+3,+1.17000E+3,+1.16500E+3,+1.15900E+3,+1.15400E+3,+1.14900E+3,+1.14400E+3,+1.13900E+3]) # kg/m3
c_p = numpy.array([+3.11700E+3,+3.14100E+3,+3.16400E+3,+3.18800E+3,+3.21200E+3,+3.23500E+3,+3.25900E+3,+3.28200E+3,+3.30600E+3,+3.33000E+3,+3.35300E+3,+3.37700E+3,+3.40000E+3,+3.42400E+3,+3.44800E+3,+3.47100E+3,+3.49500E+3,+3.51800E+3,+3.54200E+3,+3.56600E+3,+3.58900E+3,+3.61300E+3,+3.63600E+3,+3.66000E+3]) # J/kg-K
lam = numpy.array([+4.83000E+2,+4.93000E+2,+5.03000E+2,+5.13000E+2,+5.23000E+2,+5.33000E+2,+5.43000E+2,+5.53000E+2,+5.63000E+2,+5.73000E+2,+5.83000E+2,+5.93000E+2,+6.03000E+2,+6.13000E+2,+6.23000E+2,+6.33000E+2,+6.43000E+2,+6.53000E+2,+6.63000E+2,+6.73000E+2,+6.83000E+2,+6.93000E+2,+7.03000E+2,+7.13000E+2])/1e3 # W/m-K
mu_dyn = numpy.array([+4.50000E-3,+3.60000E-3,+3.00000E-3,+2.50000E-3,+2.10000E-3,+1.80000E-3,+1.60000E-3,+1.40000E-3,+1.20000E-3,+1.10000E-3,+9.50000E-4,+8.50000E-4,+7.70000E-4,+7.00000E-4,+6.30000E-4,+5.80000E-4,+5.40000E-4,+4.90000E-4,+4.60000E-4,+4.30000E-4,+4.00000E-4,+3.70000E-4,+3.50000E-4,+3.30000E-4]) # Pa-s
psat = numpy.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+0.00000E+0,+2.06843E+3,+2.75790E+3,+4.55054E+3,+7.99792E+3,+1.37206E+4,+2.24769E+4,+3.52322E+4,+5.29517E+4,+7.72213E+4,+1.08937E+5,+1.50306E+5,+2.04085E+5,+2.71653E+5,+3.57148E+5,+4.62638E+5,+5.93639E+5,+7.52907E+5,+9.46650E+5,+1.18038E+6,+1.45962E+6]) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= 20+273.15
Name = "HC20"
Desc = "Dynalene "+Name
class HC10(LiquidData):
"""
Heat transfer fluid Dynalene HC-10
Source: Dynalene
"""
T = numpy.array([+2.63150E+2,+2.73150E+2,+2.83150E+2,+2.93150E+2,+3.03150E+2,+3.13150E+2,+3.23150E+2,+3.33150E+2,+3.43150E+2,+3.53150E+2,+3.63150E+2,+3.73150E+2,+3.83150E+2,+3.93150E+2,+4.03150E+2,+4.13150E+2,+4.23150E+2,+4.33150E+2,+4.43150E+2,+4.53150E+2,+4.63150E+2,+4.73150E+2,+4.83150E+2,+4.91150E+2]) # Kelvin
rho = numpy.array([+1.20400E+3,+1.19900E+3,+1.19500E+3,+1.19000E+3,+1.18600E+3,+1.18100E+3,+1.17700E+3,+1.17200E+3,+1.16700E+3,+1.16300E+3,+1.15800E+3,+1.15400E+3,+1.14900E+3,+1.14500E+3,+1.14000E+3,+1.13600E+3,+1.13100E+3,+1.12700E+3,+1.12200E+3,+1.11800E+3,+1.11300E+3,+1.10900E+3,+1.10400E+3,+1.10100E+3]) # kg/m3
c_p = numpy.array([+3.24600E+3,+3.27100E+3,+3.29600E+3,+3.32000E+3,+3.34500E+3,+3.37000E+3,+3.39500E+3,+3.42000E+3,+3.44400E+3,+3.46900E+3,+3.49400E+3,+3.51900E+3,+3.54400E+3,+3.56800E+3,+3.59300E+3,+3.61800E+3,+3.64300E+3,+3.66800E+3,+3.69200E+3,+3.71700E+3,+3.74200E+3,+3.76700E+3,+3.79200E+3,+3.81100E+3]) # J/kg-K
lam = numpy.array([+4.94000E+2,+5.04000E+2,+5.14000E+2,+5.24000E+2,+5.34000E+2,+5.44000E+2,+5.54000E+2,+5.64000E+2,+5.74000E+2,+5.84000E+2,+5.94000E+2,+6.04000E+2,+6.14000E+2,+6.24000E+2,+6.34000E+2,+6.44000E+2,+6.54000E+2,+6.64000E+2,+6.74000E+2,+6.84000E+2,+6.94000E+2,+7.04000E+2,+7.14000E+2,+7.22000E+2])/1e3 # W/m-K
mu_dyn = numpy.array([+3.00000E-3,+2.50000E-3,+2.10000E-3,+1.80000E-3,+1.50000E-3,+1.30000E-3,+1.20000E-3,+1.00000E-3,+9.10000E-4,+8.10000E-4,+7.30000E-4,+6.60000E-4,+6.00000E-4,+5.50000E-4,+5.10000E-4,+4.70000E-4,+4.30000E-4,+4.00000E-4,+3.70000E-4,+3.50000E-4,+3.30000E-4,+3.10000E-4,+2.90000E-4,+2.80000E-4]) # Pa-s
psat = numpy.array([+0.00000E+0,+0.00000E+0,+0.00000E+0,+2.27527E+3,+2.89580E+3,+4.75738E+3,+8.54950E+3,+1.48927E+4,+2.46143E+4,+3.87485E+4,+5.83986E+4,+8.48055E+4,+1.19969E+5,+1.65474E+5,+2.23390E+5,+2.97164E+5,+3.90243E+5,+5.05386E+5,+6.47418E+5,+8.20476E+5,+1.03146E+6,+1.28587E+6,+1.58993E+6,+1.87468E+6]) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= 20+273.15
Name = "HC10"
Desc = "Dynalene "+Name
class AS10(LiquidData):
"""
Heat transfer fluid Aspen Temper -10 by Aspen Petroleum
Source: SecCool Software
"""
T = numpy.array([2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
rho = numpy.array([1.09160E+03, 1.09060E+03, 1.08960E+03, 1.08860E+03, 1.08760E+03, 1.08660E+03, 1.08560E+03, 1.08460E+03]) # kg/m3
c_p = numpy.array([3.52460E+03, 3.53540E+03, 3.54550E+03, 3.55500E+03, 3.56380E+03, 3.57190E+03, 3.57940E+03, 3.58620E+03]) # J/kg-K
lam = numpy.array([5.02200E-01, 5.09600E-01, 5.17000E-01, 5.24400E-01, 5.31800E-01, 5.39200E-01, 5.46700E-01, 5.54100E-01]) # W/m-K
mu_dyn = numpy.array([3.83600E-03, 3.16000E-03, 2.61300E-03, 2.17700E-03, 1.83700E-03, 1.57700E-03, 1.38200E-03, 1.23500E-03]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "AS10"
Desc = "Aspen Temper -10"
class AS20(LiquidData):
"""
Heat transfer fluid Aspen Temper -20 by Aspen Petroleum
Source: SecCool Software
"""
T = numpy.array([2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
rho = numpy.array([1.15050E+03, 1.14970E+03, 1.14870E+03, 1.14770E+03, 1.14660E+03, 1.14540E+03, 1.14420E+03, 1.14290E+03, 1.14150E+03, 1.14000E+03]) # kg/m3
c_p = numpy.array([3.20660E+03, 3.22280E+03, 3.23840E+03, 3.25340E+03, 3.26780E+03, 3.28150E+03, 3.29470E+03, 3.30720E+03, 3.31920E+03, 3.33050E+03]) # J/kg-K
lam = numpy.array([4.56400E-01, 4.63100E-01, 4.69800E-01, 4.76500E-01, 4.83200E-01, 4.90000E-01, 4.96700E-01, 5.03400E-01, 5.10100E-01, 5.16800E-01]) # W/m-K
mu_dyn = numpy.array([7.43800E-03, 5.91400E-03, 4.74900E-03, 3.85900E-03, 3.17900E-03, 2.65900E-03, 2.26100E-03, 1.95800E-03, 1.72500E-03, 1.54800E-03]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "AS20"
Desc = "Aspen Temper -20"
class AS30(LiquidData):
"""
Heat transfer fluid Aspen Temper -30 by Aspen Petroleum
Source: SecCool Software
"""
T = numpy.array([2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
rho = numpy.array([1.19140E+03, 1.19030E+03, 1.18910E+03, 1.18770E+03, 1.18630E+03, 1.18480E+03, 1.18330E+03, 1.18170E+03, 1.18010E+03, 1.17840E+03, 1.17680E+03, 1.17510E+03]) # kg/m3
c_p = numpy.array([2.96950E+03, 2.99130E+03, 3.01190E+03, 3.03100E+03, 3.04890E+03, 3.06540E+03, 3.08050E+03, 3.09430E+03, 3.10670E+03, 3.11770E+03, 3.12750E+03, 3.13580E+03]) # J/kg-K
lam = numpy.array([4.25000E-01, 4.31300E-01, 4.37600E-01, 4.43900E-01, 4.50200E-01, 4.56400E-01, 4.62700E-01, 4.69000E-01, 4.75300E-01, 4.81600E-01, 4.87800E-01, 4.94100E-01]) # W/m-K
mu_dyn = numpy.array([1.56400E-02, 1.19300E-02, 9.17800E-03, 7.14000E-03, 5.62900E-03, 4.50900E-03, 3.67900E-03, 3.06400E-03, 2.60800E-03, 2.27000E-03, 2.01900E-03, 1.83400E-03]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "AS30"
Desc = "Aspen Temper -30"
class AS40(LiquidData):
"""
Heat transfer fluid Aspen Temper -40 by Aspen Petroleum
Source: SecCool Software
"""
T = numpy.array([2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
rho = numpy.array([1.22670E+03, 1.22560E+03, 1.22420E+03, 1.22280E+03, 1.22120E+03, 1.21960E+03, 1.21780E+03, 1.21600E+03, 1.21410E+03, 1.21220E+03, 1.21020E+03, 1.20820E+03, 1.20620E+03, 1.20420E+03]) # kg/m3
c_p = numpy.array([2.83450E+03, 2.85970E+03, 2.88300E+03, 2.90430E+03, 2.92370E+03, 2.94120E+03, 2.95670E+03, 2.97030E+03, 2.98200E+03, 2.99170E+03, 2.99950E+03, 3.00530E+03, 3.00920E+03, 3.01120E+03]) # J/kg-K
lam = numpy.array([4.01400E-01, 4.06900E-01, 4.12400E-01, 4.17900E-01, 4.23400E-01, 4.28900E-01, 4.34400E-01, 4.39900E-01, 4.45400E-01, 4.50900E-01, 4.56400E-01, 4.61800E-01, 4.67300E-01, 4.72800E-01]) # W/m-K
mu_dyn = numpy.array([4.43400E-02, 3.01000E-02, 2.10800E-02, 1.52600E-02, 1.14300E-02, 8.84100E-03, 7.03900E-03, 5.74200E-03, 4.77600E-03, 4.03200E-03, 3.44300E-03, 2.96300E-03, 2.56600E-03, 2.23100E-03]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "AS40"
Desc = "Aspen Temper -40"
class AS55(LiquidData):
"""
Heat transfer fluid Aspen Temper -55 by Aspen Petroleum
Source: SecCool Software
"""
T = numpy.array([2.20000E+02, 2.25000E+02, 2.30000E+02, 2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02]) # Kelvin
rho = numpy.array([1.26880E+03, 1.26780E+03, 1.26650E+03, 1.26510E+03, 1.26350E+03, 1.26180E+03, 1.25990E+03, 1.25790E+03, 1.25580E+03, 1.25350E+03, 1.25120E+03, 1.24890E+03, 1.24640E+03, 1.24400E+03, 1.24150E+03, 1.23900E+03, 1.23650E+03]) # kg/m3
c_p = numpy.array([2.64790E+03, 2.67190E+03, 2.69470E+03, 2.71630E+03, 2.73660E+03, 2.75570E+03, 2.77350E+03, 2.79010E+03, 2.80540E+03, 2.81950E+03, 2.83240E+03, 2.84400E+03, 2.85440E+03, 2.86350E+03, 2.87140E+03, 2.87800E+03, 2.88340E+03]) # J/kg-K
lam = numpy.array([3.82400E-01, 3.85900E-01, 3.89600E-01, 3.93300E-01, 3.97200E-01, 4.01200E-01, 4.05300E-01, 4.09500E-01, 4.13900E-01, 4.18300E-01, 4.22900E-01, 4.27500E-01, 4.32300E-01, 4.37200E-01, 4.42300E-01, 4.47400E-01, 4.52600E-01]) # W/m-K
mu_dyn = numpy.array([2.93600E-01, 1.62700E-01, 9.44200E-02, 5.79500E-02, 3.78300E-02, 2.62200E-02, 1.91500E-02, 1.45600E-02, 1.14000E-02, 9.10600E-03, 7.36900E-03, 6.01200E-03, 4.93000E-03, 4.05600E-03, 3.34300E-03, 2.75900E-03, 2.27800E-03]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "AS55"
Desc = "Aspen Temper -55"
class ZS10(LiquidData):
"""
Heat transfer fluid Zitrec S -10 by Arteco
Source: SecCool Software
"""
T = numpy.array([2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
rho = numpy.array([1.10250E+03, 1.10020E+03, 1.09790E+03, 1.09550E+03, 1.09320E+03, 1.09090E+03, 1.08860E+03, 1.08630E+03, 1.08390E+03, 1.08160E+03, 1.07930E+03, 1.07700E+03, 1.07470E+03, 1.07230E+03, 1.07000E+03, 1.06770E+03, 1.06540E+03, 1.06300E+03, 1.06070E+03, 1.05840E+03]) # kg/m3
c_p = numpy.array([3.54260E+03, 3.55520E+03, 3.56720E+03, 3.57880E+03, 3.59000E+03, 3.60070E+03, 3.61090E+03, 3.62060E+03, 3.62990E+03, 3.63870E+03, 3.64710E+03, 3.65500E+03, 3.66240E+03, 3.66940E+03, 3.67590E+03, 3.68190E+03, 3.68750E+03, 3.69260E+03, 3.69720E+03, 3.70140E+03]) # J/kg-K
lam = numpy.array([4.99700E-01, 5.06300E-01, 5.13000E-01, 5.19600E-01, 5.26200E-01, 5.32800E-01, 5.39400E-01, 5.45900E-01, 5.52500E-01, 5.59000E-01, 5.65500E-01, 5.72000E-01, 5.78500E-01, 5.84900E-01, 5.91400E-01, 5.97800E-01, 6.04300E-01, 6.10700E-01, 6.17100E-01, 6.23400E-01]) # W/m-K
mu_dyn = numpy.array([4.51900E-03, 3.75000E-03, 3.14500E-03, 2.66500E-03, 2.28200E-03, 1.97200E-03, 1.72000E-03, 1.51300E-03, 1.34200E-03, 1.20000E-03, 1.08100E-03, 9.80000E-04, 8.94000E-04, 8.21000E-04, 7.58000E-04, 7.03000E-04, 6.56000E-04, 6.14000E-04, 5.77000E-04, 5.44000E-04]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "ZS10"
Desc = "Zitrec S -10"
class ZS25(LiquidData):
"""
Heat transfer fluid Zitrec S -25 by Arteco
Source: SecCool Software
"""
T = numpy.array([2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
rho = numpy.array([1.20620E+03, 1.20360E+03, 1.20090E+03, 1.19820E+03, 1.19560E+03, 1.19290E+03, 1.19030E+03, 1.18760E+03, 1.18490E+03, 1.18230E+03, 1.17960E+03, 1.17690E+03, 1.17430E+03, 1.17160E+03, 1.16890E+03, 1.16630E+03, 1.16360E+03, 1.16100E+03, 1.15830E+03, 1.15560E+03, 1.15300E+03, 1.15030E+03, 1.14760E+03]) # kg/m3
c_p = numpy.array([3.17680E+03, 3.17880E+03, 3.18090E+03, 3.18290E+03, 3.18500E+03, 3.18710E+03, 3.18920E+03, 3.19130E+03, 3.19340E+03, 3.19550E+03, 3.19760E+03, 3.19980E+03, 3.20200E+03, 3.20410E+03, 3.20630E+03, 3.20850E+03, 3.21070E+03, 3.21290E+03, 3.21520E+03, 3.21740E+03, 3.21970E+03, 3.22200E+03, 3.22420E+03]) # J/kg-K
lam = numpy.array([4.43000E-01, 4.49600E-01, 4.56200E-01, 4.62700E-01, 4.69200E-01, 4.75600E-01, 4.81900E-01, 4.88200E-01, 4.94400E-01, 5.00600E-01, 5.06700E-01, 5.12700E-01, 5.18700E-01, 5.24600E-01, 5.30400E-01, 5.36200E-01, 5.42000E-01, 5.47700E-01, 5.53300E-01, 5.58800E-01, 5.64300E-01, 5.69800E-01, 5.75200E-01]) # W/m-K
mu_dyn = numpy.array([1.06800E-02, 8.37400E-03, 6.68600E-03, 5.42800E-03, 4.47800E-03, 3.74900E-03, 3.18300E-03, 2.73800E-03, 2.38400E-03, 2.10000E-03, 1.86800E-03, 1.67800E-03, 1.52000E-03, 1.38800E-03, 1.27500E-03, 1.17900E-03, 1.09500E-03, 1.02100E-03, 9.55000E-04, 8.95000E-04, 8.40000E-04, 7.89000E-04, 7.40000E-04]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "ZS25"
Desc = "Zitrec S -25"
class ZS40(LiquidData):
"""
Heat transfer fluid Zitrec S -40 by Arteco
Source: SecCool Software
"""
T = numpy.array([2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
rho = numpy.array([1.28360E+03, 1.28080E+03, 1.27800E+03, 1.27510E+03, 1.27230E+03, 1.26940E+03, 1.26660E+03, 1.26380E+03, 1.26090E+03, 1.25810E+03, 1.25530E+03, 1.25240E+03, 1.24960E+03, 1.24680E+03, 1.24390E+03, 1.24110E+03, 1.23820E+03, 1.23540E+03, 1.23260E+03, 1.22970E+03, 1.22690E+03, 1.22410E+03, 1.22120E+03, 1.21840E+03, 1.21550E+03, 1.21270E+03]) # kg/m3
c_p = numpy.array([2.69640E+03, 2.70500E+03, 2.71320E+03, 2.72100E+03, 2.72850E+03, 2.73570E+03, 2.74260E+03, 2.74940E+03, 2.75600E+03, 2.76250E+03, 2.76900E+03, 2.77540E+03, 2.78190E+03, 2.78850E+03, 2.79530E+03, 2.80220E+03, 2.80930E+03, 2.81670E+03, 2.82440E+03, 2.83250E+03, 2.84100E+03, 2.85000E+03, 2.85950E+03, 2.86950E+03, 2.88010E+03, 2.89140E+03]) # J/kg-K
lam = numpy.array([4.15100E-01, 4.20500E-01, 4.25800E-01, 4.31200E-01, 4.36500E-01, 4.41800E-01, 4.47200E-01, 4.52500E-01, 4.57800E-01, 4.63100E-01, 4.68400E-01, 4.73600E-01, 4.78900E-01, 4.84200E-01, 4.89400E-01, 4.94700E-01, 4.99900E-01, 5.05200E-01, 5.10400E-01, 5.15600E-01, 5.20800E-01, 5.26000E-01, 5.31200E-01, 5.36400E-01, 5.41600E-01, 5.46800E-01]) # W/m-K
mu_dyn = numpy.array([3.10200E-02, 2.28600E-02, 1.72100E-02, 1.32300E-02, 1.03600E-02, 8.26100E-03, 6.70400E-03, 5.53000E-03, 4.63200E-03, 3.93600E-03, 3.38900E-03, 2.95500E-03, 2.60700E-03, 2.32300E-03, 2.09100E-03, 1.89800E-03, 1.73500E-03, 1.59700E-03, 1.47900E-03, 1.37500E-03, 1.28400E-03, 1.20200E-03, 1.12700E-03, 1.05800E-03, 9.93000E-04, 9.30000E-04]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "ZS40"
Desc = "Zitrec S -40"
class ZS45(LiquidData):
"""
Heat transfer fluid Zitrec S -45 by Arteco
Source: SecCool Software
"""
T = numpy.array([2.30000E+02, 2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
rho = numpy.array([1.30590E+03, 1.30320E+03, 1.30040E+03, 1.29760E+03, 1.29490E+03, 1.29210E+03, 1.28940E+03, 1.28660E+03, 1.28380E+03, 1.28110E+03, 1.27830E+03, 1.27550E+03, 1.27280E+03, 1.27000E+03, 1.26730E+03, 1.26450E+03, 1.26170E+03, 1.25900E+03, 1.25620E+03, 1.25340E+03, 1.25070E+03, 1.24790E+03, 1.24520E+03, 1.24240E+03, 1.23960E+03, 1.23690E+03, 1.23410E+03]) # kg/m3
c_p = numpy.array([2.55240E+03, 2.56350E+03, 2.57450E+03, 2.58550E+03, 2.59650E+03, 2.60760E+03, 2.61860E+03, 2.62960E+03, 2.64070E+03, 2.65170E+03, 2.66270E+03, 2.67370E+03, 2.68480E+03, 2.69580E+03, 2.70680E+03, 2.71790E+03, 2.72890E+03, 2.73990E+03, 2.75090E+03, 2.76200E+03, 2.77300E+03, 2.78400E+03, 2.79510E+03, 2.80610E+03, 2.81710E+03, 2.82810E+03, 2.83920E+03]) # J/kg-K
lam = numpy.array([4.06200E-01, 4.11100E-01, 4.15900E-01, 4.20900E-01, 4.25800E-01, 4.30700E-01, 4.35700E-01, 4.40600E-01, 4.45600E-01, 4.50600E-01, 4.55700E-01, 4.60700E-01, 4.65800E-01, 4.70900E-01, 4.76000E-01, 4.81100E-01, 4.86200E-01, 4.91400E-01, 4.96600E-01, 5.01700E-01, 5.07000E-01, 5.12200E-01, 5.17400E-01, 5.22700E-01, 5.28000E-01, 5.33300E-01, 5.38600E-01]) # W/m-K
mu_dyn = numpy.array([4.97400E-02, 3.53200E-02, 2.57000E-02, 1.91400E-02, 1.45700E-02, 1.13300E-02, 8.99200E-03, 7.27000E-03, 5.98200E-03, 5.00500E-03, 4.25200E-03, 3.66500E-03, 3.20000E-03, 2.82800E-03, 2.52700E-03, 2.28000E-03, 2.07500E-03, 1.90300E-03, 1.75600E-03, 1.62900E-03, 1.51800E-03, 1.41800E-03, 1.32800E-03, 1.24400E-03, 1.16500E-03, 1.08900E-03, 1.01600E-03]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "ZS45"
Desc = "Zitrec S -45"
class ZS55(LiquidData):
"""
Heat transfer fluid Zitrec S -55 by Arteco
Source: SecCool Software
"""
T = numpy.array([2.20000E+02, 2.25000E+02, 2.30000E+02, 2.35000E+02, 2.40000E+02, 2.45000E+02, 2.50000E+02, 2.55000E+02, 2.60000E+02, 2.65000E+02, 2.70000E+02, 2.75000E+02, 2.80000E+02, 2.85000E+02, 2.90000E+02, 2.95000E+02, 3.00000E+02, 3.05000E+02, 3.10000E+02, 3.15000E+02, 3.20000E+02, 3.25000E+02, 3.30000E+02, 3.35000E+02, 3.40000E+02, 3.45000E+02, 3.50000E+02, 3.55000E+02, 3.60000E+02]) # Kelvin
rho = numpy.array([1.35580E+03, 1.35280E+03, 1.34980E+03, 1.34680E+03, 1.34380E+03, 1.34070E+03, 1.33770E+03, 1.33470E+03, 1.33170E+03, 1.32870E+03, 1.32560E+03, 1.32260E+03, 1.31960E+03, 1.31660E+03, 1.31350E+03, 1.31050E+03, 1.30750E+03, 1.30450E+03, 1.30150E+03, 1.29840E+03, 1.29540E+03, 1.29240E+03, 1.28940E+03, 1.28630E+03, 1.28330E+03, 1.28030E+03, 1.27730E+03, 1.27430E+03, 1.27120E+03]) # kg/m3
c_p = numpy.array([2.43970E+03, 2.44650E+03, 2.45350E+03, 2.46070E+03, 2.46810E+03, 2.47580E+03, 2.48380E+03, 2.49190E+03, 2.50030E+03, 2.50900E+03, 2.51780E+03, 2.52700E+03, 2.53630E+03, 2.54590E+03, 2.55570E+03, 2.56580E+03, 2.57610E+03, 2.58660E+03, 2.59740E+03, 2.60840E+03, 2.61970E+03, 2.63120E+03, 2.64290E+03, 2.65480E+03, 2.66700E+03, 2.67950E+03, 2.69210E+03, 2.70500E+03, 2.71820E+03]) # J/kg-K
lam = numpy.array([3.93100E-01, 3.97000E-01, 4.01000E-01, 4.05100E-01, 4.09100E-01, 4.13200E-01, 4.17300E-01, 4.21400E-01, 4.25600E-01, 4.29700E-01, 4.33900E-01, 4.38200E-01, 4.42400E-01, 4.46700E-01, 4.51000E-01, 4.55400E-01, 4.59700E-01, 4.64100E-01, 4.68500E-01, 4.73000E-01, 4.77500E-01, 4.82000E-01, 4.86500E-01, 4.91000E-01, 4.95600E-01, 5.00200E-01, 5.04800E-01, 5.09500E-01, 5.14200E-01]) # W/m-K
mu_dyn = numpy.array([1.44300E-01, 9.52000E-02, 6.46500E-02, 4.51300E-02, 3.23400E-02, 2.37700E-02, 1.78900E-02, 1.37800E-02, 1.08400E-02, 8.69800E-03, 7.11600E-03, 5.92500E-03, 5.01500E-03, 4.31100E-03, 3.75700E-03, 3.31700E-03, 2.96200E-03, 2.67300E-03, 2.43300E-03, 2.23300E-03, 2.06300E-03, 1.91500E-03, 1.78600E-03, 1.67000E-03, 1.56500E-03, 1.46600E-03, 1.37300E-03, 1.28300E-03, 1.19400E-03]) # Pa-s
psat = numpy.zeros(T.shape) # Pa
Tmin = numpy.min(T)
Tmax = numpy.max(T)
TminPsat= Tmax
Name = "ZS55"
Desc = "Zitrec S -55"
#class SylthermXLT(LiquidData):
# """
# Heat transfer fluid Syltherm XLT by Dow Chemicals
# Source: Dow Chemicals data sheet
# """
# T = numpy.array([-1.00000E+2, -9.50000E+1, -9.00000E+1, -8.50000E+1, -8.00000E+1, -7.50000E+1, -7.00000E+1, -6.50000E+1, -6.00000E+1, -5.50000E+1, -5.00000E+1, -4.50000E+1, -4.00000E+1, -3.50000E+1, -3.00000E+1, -2.50000E+1, -2.00000E+1, -1.50000E+1, -1.00000E+1, -5.00000E+0, +0.00000E+0, +5.00000E+0, +1.00000E+1, +1.50000E+1, +2.00000E+1, +2.50000E+1, +3.00000E+1, +3.50000E+1, +4.00000E+1, +4.50000E+1, +5.00000E+1, +5.50000E+1, +6.00000E+1, +6.50000E+1, +7.00000E+1, +7.50000E+1, +8.00000E+1, +8.50000E+1, +9.00000E+1, +9.50000E+1, +1.00000E+2, +1.05000E+2, +1.10000E+2, +1.15000E+2, +1.20000E+2, +1.25000E+2, +1.30000E+2, +1.35000E+2, +1.40000E+2, +1.45000E+2, +1.50000E+2, +1.55000E+2, +1.60000E+2, +1.65000E+2, +1.70000E+2, +1.75000E+2, +1.80000E+2, +1.85000E+2, +1.90000E+2, +1.95000E+2, +2.00000E+2, +2.05000E+2, +2.10000E+2, +2.15000E+2, +2.20000E+2, +2.25000E+2, +2.30000E+2, +2.35000E+2, +2.40000E+2, +2.45000E+2, +2.50000E+2, +2.55000E+2, +2.60000E+2])+273.15 # Kelvin
# rho = numpy.array([+9.78500E+2, +9.73400E+2, +9.68300E+2, +9.63100E+2, +9.58000E+2, +9.52900E+2, +9.47700E+2, +9.42600E+2, +9.37500E+2, +9.32300E+2, +9.27200E+2, +9.22000E+2, +9.16900E+2, +9.11800E+2, +9.06600E+2, +9.01500E+2, +8.96400E+2, +8.91200E+2, +8.86100E+2, +8.81000E+2, +8.75800E+2, +8.70700E+2, +8.65500E+2, +8.60400E+2, +8.55300E+2, +8.50100E+2, +8.45000E+2, +8.39900E+2, +8.34700E+2, +8.29600E+2, +8.24500E+2, +8.19300E+2, +8.14200E+2, +8.09100E+2, +8.03900E+2, +7.98800E+2, +7.93600E+2, +7.88500E+2, +7.83400E+2, +7.78200E+2, +7.73100E+2, +7.68000E+2, +7.62800E+2, +7.57700E+2, +7.52600E+2, +7.47400E+2, +7.42300E+2, +7.37200E+2, +7.32000E+2, +7.26900E+2, +7.21700E+2, +7.16600E+2, +7.11500E+2, +7.06300E+2, +7.01200E+2, +6.96100E+2, +6.90900E+2, +6.85800E+2, +6.80700E+2, +6.75500E+2, +6.70400E+2, +6.65300E+2, +6.60100E+2, +6.55000E+2, +6.49800E+2, +6.44700E+2, +6.39600E+2, +6.34400E+2, +6.29300E+2, +6.24200E+2, +6.19000E+2, +6.13900E+2, +6.08800E+2]) # kg/m3
# c_p = numpy.array([+1.52000E+0, +1.53000E+0, +1.54100E+0, +1.55100E+0, +1.56200E+0, +1.57200E+0, +1.58300E+0, +1.59300E+0, +1.60400E+0, +1.61400E+0, +1.62500E+0, +1.63500E+0, +1.64600E+0, +1.65600E+0, +1.66700E+0, +1.67700E+0, +1.68800E+0, +1.69800E+0, +1.70900E+0, +1.71900E+0, +1.73000E+0, +1.74000E+0, +1.75100E+0, +1.76100E+0, +1.77200E+0, +1.78200E+0, +1.79300E+0, +1.80300E+0, +1.81400E+0, +1.82400E+0, +1.83500E+0, +1.84500E+0, +1.85600E+0, +1.86600E+0, +1.87700E+0, +1.88700E+0, +1.89800E+0, +1.90800E+0, +1.91900E+0, +1.92900E+0, +1.94000E+0, +1.95000E+0, +1.96100E+0, +1.97100E+0, +1.98200E+0, +1.99200E+0, +2.00300E+0, +2.01300E+0, +2.02400E+0, +2.03400E+0, +2.04500E+0, +2.05500E+0, +2.06600E+0, +2.07600E+0, +2.08700E+0, +2.09700E+0, +2.10800E+0, +2.11800E+0, +2.12900E+0, +2.13900E+0, +2.15000E+0, +2.16000E+0, +2.17100E+0, +2.18100E+0, +2.19200E+0, +2.20200E+0, +2.21300E+0, +2.22300E+0, +2.23400E+0, +2.24400E+0, +2.25500E+0, +2.26500E+0, +2.27600E+0])*1e3 # J/kg-K
# lam = numpy.array([+1.34100E-1, +1.33200E-1, +1.32400E-1, +1.31500E-1, +1.30600E-1, +1.29700E-1, +1.28800E-1, +1.27900E-1, +1.26900E-1, +1.26000E-1, +1.25000E-1, +1.24100E-1, +1.23100E-1, +1.22100E-1, +1.21100E-1, +1.20100E-1, +1.19100E-1, +1.18100E-1, +1.17100E-1, +1.16100E-1, +1.15000E-1, +1.14000E-1, +1.12900E-1, +1.11900E-1, +1.10800E-1, +1.09700E-1, +1.08600E-1, +1.07500E-1, +1.06400E-1, +1.05300E-1, +1.04200E-1, +1.03000E-1, +1.01900E-1, +1.00800E-1, +9.96000E-2, +9.84400E-2, +9.72800E-2, +9.61000E-2, +9.49200E-2, +9.37300E-2, +9.25300E-2, +9.13300E-2, +9.01200E-2, +8.89100E-2, +8.76800E-2, +8.64500E-2, +8.52200E-2, +8.39800E-2, +8.27300E-2, +8.14700E-2, +8.02100E-2, +7.89500E-2, +7.76700E-2, +7.64000E-2, +7.51100E-2, +7.38200E-2, +7.25300E-2, +7.12300E-2, +6.99200E-2, +6.86100E-2, +6.72900E-2, +6.59700E-2, +6.46500E-2, +6.33100E-2, +6.19800E-2, +6.06400E-2, +5.92900E-2, +5.79400E-2, +5.65800E-2, +5.52300E-2, +5.38600E-2, +5.24900E-2, +5.11200E-2]) # W/m-K
# mu_dyn = numpy.array([+7.86100E+1, +5.01300E+1, +3.48600E+1, +2.58300E+1, +2.00400E+1, +1.60800E+1, +1.32200E+1, +1.10500E+1, +9.35600E+0, +7.99400E+0, +6.87900E+0, +5.95600E+0, +5.18400E+0, +4.53500E+0, +3.98600E+0, +3.52100E+0, +3.12600E+0, +2.78800E+0, +2.49900E+0, +2.25000E+0, +2.03500E+0, +1.84900E+0, +1.68700E+0, +1.54500E+0, +1.41900E+0, +1.30900E+0, +1.21000E+0, +1.12200E+0, +1.04300E+0, +9.72000E-1, +9.08000E-1, +8.49000E-1, +7.96000E-1, +7.48000E-1, +7.05000E-1, +6.65000E-1, +6.28000E-1, +5.95000E-1, +5.64000E-1, +5.36000E-1, +5.11000E-1, +4.87000E-1, +4.65000E-1, +4.45000E-1, +4.26000E-1, +4.09000E-1, +3.93000E-1, +3.77000E-1, +3.63000E-1, +3.50000E-1, +3.37000E-1, +3.25000E-1, +3.14000E-1, +3.03000E-1, +2.93000E-1, +2.84000E-1, +2.75000E-1, +2.66000E-1, +2.58000E-1, +2.51000E-1, +2.44000E-1, +2.38000E-1, +2.32000E-1, +2.26000E-1, +2.20000E-1, +2.15000E-1, +2.09000E-1, +2.04000E-1, +1.99000E-1, +1.94000E-1, +1.89000E-1, +1.85000E-1, +1.82000E-1])/1000. # Pa-s
# psat = numpy.array([+0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0, +0.00000E+0])*1e5 # Pa
# Tmin = numpy.min(T)
# Tmax = numpy.max(T)
# TminPsat= Tmax
# Name = "XLT"
# Desc = "SylthermXLT"
# output
#dataObj = Therminol72()
#for i in range(len(dataObj.T)):
# print str(dataObj.T[i])+", "+str(numpy.log(dataObj.mu_dyn[i]))
class SolutionData(LiquidData):
"""
A base class that defines all the variables needed
in order to make a proper fit for solution data.
"""
Name = None # Name of the current fluid
Desc = None # Name of the current fluid
Tmin = None # Minimum temperature in K
TminPsat = None # Minimum saturation temperature in K
Tmax = None # Maximum temperature in K
xmin = None # Minimum concentration in weight fraction
xmax = None # Minimum concentration in weight fraction
Tbase = None # Base temperature for data fit in K
xbase = None # Base concentration for data fit in weight fraction
# Data points
x = None # Concentration data points in weight fraction
T = None # Temperature for data points in K
rho = None # Density in kg/m3
c_p = None # Heat capacity in J/(kg.K)
lam = None # Thermal conductivity in W/(m.K)
mu_dyn = None # Dynamic viscosity in Pa.s
psat = None # Saturation pressure in Pa
Tfreeze = None # Freezing temperature in K
| 133.008913 | 1,071 | 0.612868 | 15,812 | 74,618 | 2.885656 | 0.097774 | 0.015955 | 0.037345 | 0.039055 | 0.561979 | 0.468616 | 0.448299 | 0.444245 | 0.406417 | 0.394538 | 0 | 0.510415 | 0.128186 | 74,618 | 560 | 1,072 | 133.246429 | 0.190983 | 0.1518 | 0 | 0.345714 | 0 | 0 | 0.006094 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025714 | false | 0 | 0.002857 | 0.025714 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
18337bd2ec8d9af71743d0aaee8d700175777dcf | 183 | py | Python | systeminfo/main.py | Slaporter/comp30670-assignment2 | 9688bc0c84b3e97ba56623ba6961a0f27b6a75a9 | [
"BSD-3-Clause"
] | null | null | null | systeminfo/main.py | Slaporter/comp30670-assignment2 | 9688bc0c84b3e97ba56623ba6961a0f27b6a75a9 | [
"BSD-3-Clause"
] | null | null | null | systeminfo/main.py | Slaporter/comp30670-assignment2 | 9688bc0c84b3e97ba56623ba6961a0f27b6a75a9 | [
"BSD-3-Clause"
] | null | null | null | '''
Created on 25 Jan 2018
@author: Slaporter
'''
import platform
def get_platform_info():
return (platform.platform())
if __name__ == '__main__':
get_platform_info() | 14.076923 | 32 | 0.677596 | 22 | 183 | 5.090909 | 0.727273 | 0.196429 | 0.267857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040816 | 0.196721 | 183 | 13 | 33 | 14.076923 | 0.721088 | 0.229508 | 0 | 0 | 0 | 0 | 0.059701 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.2 | 0.2 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
1862bbcb7fca803bcf122777aeefae54fb15d546 | 152 | py | Python | main.py | AshishKapoor/learning-fastapi | 303268b85d4825b4b93f07d098a74d39f57192cb | [
"MIT"
] | null | null | null | main.py | AshishKapoor/learning-fastapi | 303268b85d4825b4b93f07d098a74d39f57192cb | [
"MIT"
] | null | null | null | main.py | AshishKapoor/learning-fastapi | 303268b85d4825b4b93f07d098a74d39f57192cb | [
"MIT"
] | null | null | null | from imp import reload
from operator import truediv
import uvicorn
if __name__ == "__main__":
uvicorn.run("app.api:app", port="8000", reload=True)
| 21.714286 | 56 | 0.736842 | 22 | 152 | 4.727273 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030769 | 0.144737 | 152 | 6 | 57 | 25.333333 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0.151316 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.6 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
187a101d0172d6ce6bea730b1f1f0d870935e907 | 481 | py | Python | tests/test_inverse.py | d21d3q/thermalprinter | a502fe8a7b7ab5a0773e92a37e6539f73b34b950 | [
"MIT"
] | 28 | 2016-08-31T15:50:38.000Z | 2022-03-24T15:19:17.000Z | tests/test_inverse.py | d21d3q/thermalprinter | a502fe8a7b7ab5a0773e92a37e6539f73b34b950 | [
"MIT"
] | 11 | 2016-09-28T15:46:46.000Z | 2021-03-09T16:37:13.000Z | tests/test_inverse.py | d21d3q/thermalprinter | a502fe8a7b7ab5a0773e92a37e6539f73b34b950 | [
"MIT"
] | 10 | 2017-03-02T19:08:15.000Z | 2021-02-19T16:11:06.000Z | # coding: utf-8
def test_default_value(printer):
assert printer._inverse is False
def test_changing_no_value(printer):
printer.inverse()
assert printer._inverse is False
def test_changing_state_on(printer):
printer.inverse(True)
assert printer._inverse is True
def test_changing_state_off(printer):
printer.inverse(False)
assert printer._inverse is False
def test_reset_value(printer):
printer.reset()
assert printer._inverse is False
| 18.5 | 37 | 0.754678 | 66 | 481 | 5.227273 | 0.287879 | 0.324638 | 0.289855 | 0.318841 | 0.42029 | 0.342029 | 0.342029 | 0.243478 | 0 | 0 | 0 | 0.002513 | 0.172557 | 481 | 25 | 38 | 19.24 | 0.864322 | 0.027027 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.357143 | 1 | 0.357143 | false | 0 | 0 | 0 | 0.357143 | 1 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
187a6f0611f614062b3b6e7a9bdfcf1ce307cf0b | 332 | py | Python | app/main/errors.py | kennjr/Pitch | 6f431f73ed9e90999ff9bd546ee0490d1943fc74 | [
"MIT"
] | null | null | null | app/main/errors.py | kennjr/Pitch | 6f431f73ed9e90999ff9bd546ee0490d1943fc74 | [
"MIT"
] | null | null | null | app/main/errors.py | kennjr/Pitch | 6f431f73ed9e90999ff9bd546ee0490d1943fc74 | [
"MIT"
] | null | null | null | from flask import render_template
from urllib import error
# @app.errorhandler(404)
from app.main import main
@main.app_errorhandler(404)
def page_not_found(error):
return render_template('404_page.html'), 404
@main.app_errorhandler(error.HTTPError)
def http_error(error):
return render_template('404_page.html'), 404
| 19.529412 | 48 | 0.78012 | 49 | 332 | 5.081633 | 0.387755 | 0.168675 | 0.144578 | 0.200803 | 0.313253 | 0.313253 | 0.313253 | 0.313253 | 0 | 0 | 0 | 0.061644 | 0.120482 | 332 | 16 | 49 | 20.75 | 0.791096 | 0.066265 | 0 | 0.222222 | 0 | 0 | 0.084416 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.333333 | 0.222222 | 0.777778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 5 |
a10fa0da552167ce71ece704eb015ed28f0a164b | 1,693 | py | Python | haziris/examples/google_timeline_grouping.py | haziris/haziris-python | c078b6bc73187ba1cfa24b3dbcf7979a6d17e9c2 | [
"BSD-3-Clause"
] | 1 | 2020-08-27T06:25:58.000Z | 2020-08-27T06:25:58.000Z | haziris/examples/google_timeline_grouping.py | haziris/haziris-python | c078b6bc73187ba1cfa24b3dbcf7979a6d17e9c2 | [
"BSD-3-Clause"
] | null | null | null | haziris/examples/google_timeline_grouping.py | haziris/haziris-python | c078b6bc73187ba1cfa24b3dbcf7979a6d17e9c2 | [
"BSD-3-Clause"
] | null | null | null | import pandas as pd
import haziris as hz
df = pd.DataFrame([
['President' , 'George Washington', '1789-04-30 00:00:00', '1797-03-04 00:00:00' ],
['President' , 'John Adams' , '1797-03-04 00:00:00', '1801-03-04 00:00:00' ],
['President' , 'Thomas Jefferson' , '1801-03-04 00:00:00', '1809-03-04 00:00:00' ],
['Vice President' , 'John Adams' , '1789-04-21 00:00:00', '1797-03-04 00:00:00' ],
['Vice President' , 'Thomas Jefferson' , '1797-03-04 00:00:00', '1801-03-04 00:00:00' ],
['Vice President' , 'Aaron Burr' , '1801-03-04 00:00:00', '1805-03-04 00:00:00' ],
['Vice President' , 'George Clinton' , '1805-03-04 00:00:00', '1812-04-20 00:00:00' ],
['Secretary of State', 'John Jay' , '1789-09-26 00:00:00', '1790-03-22 00:00:00' ],
['Secretary of State', 'Thomas Jefferson' , '1790-03-22 00:00:00', '1793-12-31 00:00:00' ],
['Secretary of State', 'Edmund Randolph' , '1794-01-02 00:00:00', '1795-08-20 00:00:00' ],
['Secretary of State', 'Timothy Pickering', '1795-08-20 00:00:00', '1800-05-12 00:00:00' ],
['Secretary of State', 'Charles Lee' , '1800-05-13 00:00:00', '1800-06-05 00:00:00' ],
['Secretary of State', 'John Marshall' , '1800-06-13 00:00:00', '1801-03-04 00:00:00' ],
['Secretary of State', 'Levi Lincoln' , '1801-03-05 00:00:00', '1801-05-01 00:00:00' ],
['Secretary of State', 'James Madison' , '1801-05-02 00:00:00', '1809-03-03 00:00:00' ]
],
columns = ['Position', 'Name', 'Start', 'End']
)
options = {
'timeline': {
'showRowLabels': False
}
}
hz.google_timeline_chart( df, "google_timeline_grouping.html", options )
| 54.612903 | 95 | 0.576491 | 275 | 1,693 | 3.534545 | 0.272727 | 0.246914 | 0.185185 | 0.098765 | 0.506173 | 0.489712 | 0.273663 | 0.119342 | 0.119342 | 0.057613 | 0 | 0.312268 | 0.205552 | 1,693 | 30 | 96 | 56.433333 | 0.410409 | 0 | 0 | 0 | 0 | 0 | 0.629061 | 0.017129 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.074074 | 0 | 0.074074 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a132837bca49c2f935b365e9f1057ac4607c0c1f | 6,148 | py | Python | im/ib/ib_sql_writer_backend.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | im/ib/ib_sql_writer_backend.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | im/ib/ib_sql_writer_backend.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | import pandas as pd
import psycopg2.extras as pextra
import im.common.data.types as icdtyp
import im.common.sql_writer_backend as icsqlw
class IbSqlWriterBackend(icsqlw.AbstractSqlWriterBackend):
"""
Manager of CRUD operations on a database defined in db.sql.
"""
FREQ_ATTR_MAPPING = {
icdtyp.Frequency.Daily: {
"table_name": "IbDailyData",
"datetime_field_name": "date",
},
icdtyp.Frequency.Minutely: {
"table_name": "IbMinuteData",
"datetime_field_name": "datetime",
},
icdtyp.Frequency.Tick: {
"table_name": "IbTickData",
"datetime_field_name": "datetime",
},
}
def insert_bulk_daily_data(
self,
df: pd.DataFrame,
) -> None:
"""
Insert daily data for a particular TradeSymbol entry in bulk.
:param df: a dataframe from s3
"""
with self.conn:
with self.conn.cursor() as curs:
pextra.execute_values(
curs,
"INSERT INTO IbDailyData "
"(trade_symbol_id, date, open, high, low, close, volume, average, barCount) "
"VALUES %s ON CONFLICT DO NOTHING",
df.to_dict("records"),
template="(%(trade_symbol_id)s, %(date)s, %(open)s,"
" %(high)s, %(low)s, %(close)s, %(volume)s, %(average)s, %(barCount)s)",
)
def insert_daily_data(
self,
trade_symbol_id: int,
date: str,
open_val: float,
high_val: float,
low_val: float,
close_val: float,
volume_val: int,
average_val: float,
bar_count_val: int,
) -> None:
"""
Insert daily data for a particular TradeSymbol entry.
:param trade_symbol_id: id of TradeSymbol
:param date: date string
:param open_val: open price
:param high_val: high price
:param low_val: low price
:param close_val: close price
:param volume_val: volume
:param average_val: average
:param bar_count_val: bar count
"""
with self.conn:
with self.conn.cursor() as curs:
curs.execute(
"INSERT INTO IbDailyData "
"(trade_symbol_id, date, open, high, low, close, volume, average, barCount) "
"VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s) ON CONFLICT DO NOTHING",
[
trade_symbol_id,
date,
open_val,
high_val,
low_val,
close_val,
volume_val,
average_val,
bar_count_val,
],
)
def insert_bulk_minute_data(
self,
df: pd.DataFrame,
) -> None:
"""
Insert minute data for a particular TradeSymbol entry in bulk.
:param df: a dataframe from s3
"""
with self.conn:
with self.conn.cursor() as curs:
pextra.execute_values(
curs,
"INSERT INTO IbMinuteData "
"(trade_symbol_id, datetime, open, high, low, close, "
"volume, average, barCount) "
"VALUES %s ON CONFLICT DO NOTHING",
df.to_dict("records"),
template="(%(trade_symbol_id)s, %(datetime)s, %(open)s,"
" %(high)s, %(low)s, %(close)s, %(volume)s, %(average)s, %(barCount)s)",
)
def insert_minute_data(
self,
trade_symbol_id: int,
date_time: str,
open_val: float,
high_val: float,
low_val: float,
close_val: float,
volume_val: int,
average_val: float,
bar_count_val: int,
) -> None:
"""
Insert minute data for a particular TradeSymbol entry.
:param trade_symbol_id: id of TradeSymbol
:param date_time: date and time string
:param open_val: open price
:param high_val: high price
:param low_val: low price
:param close_val: close price
:param volume_val: volume
:param average_val: average
:param bar_count_val: bar count
"""
with self.conn:
with self.conn.cursor() as curs:
curs.execute(
"INSERT INTO IbMinuteData "
"(trade_symbol_id, datetime, open, high, low, close, "
"volume, average, barCount) "
"VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s) ON CONFLICT DO NOTHING",
[
trade_symbol_id,
date_time,
open_val,
high_val,
low_val,
close_val,
volume_val,
average_val,
bar_count_val,
],
)
def insert_tick_data(
self,
trade_symbol_id: int,
date_time: str,
price_val: float,
size_val: int,
) -> None:
"""
Insert tick data for a particular TradeSymbol entry.
:param trade_symbol_id: id of TradeSymbol
:param date_time: date and time string
:param price_val: price of the transaction
:param size_val: size of the transaction
"""
with self.conn:
with self.conn.cursor() as curs:
curs.execute(
"INSERT INTO IbTickData "
"(trade_symbol_id, datetime, price, size) "
"VALUES (%s, %s, %s, %s) ON CONFLICT DO NOTHING",
[
trade_symbol_id,
date_time,
price_val,
size_val,
],
)
| 32.702128 | 97 | 0.479506 | 628 | 6,148 | 4.501592 | 0.154459 | 0.013442 | 0.073576 | 0.018394 | 0.775734 | 0.773612 | 0.773612 | 0.74885 | 0.74885 | 0.710294 | 0 | 0.000857 | 0.430709 | 6,148 | 187 | 98 | 32.877005 | 0.806857 | 0.182498 | 0 | 0.687023 | 0 | 0.030534 | 0.231767 | 0.00893 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038168 | false | 0 | 0.030534 | 0 | 0.083969 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a18842cf6aace755bde8ae3b061708b05c03405e | 256 | py | Python | server/data_fixer.py | Peace-Data/Peace-Data | 758a09ba386cdb25bf4e6532534cf8e332366133 | [
"MIT"
] | null | null | null | server/data_fixer.py | Peace-Data/Peace-Data | 758a09ba386cdb25bf4e6532534cf8e332366133 | [
"MIT"
] | null | null | null | server/data_fixer.py | Peace-Data/Peace-Data | 758a09ba386cdb25bf4e6532534cf8e332366133 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
class DataFixer:
def __init__(self):
pass
def get_fix(self, data):
self.data = data
self.data = pd.get_dummies(self.data)
return self.data
| 12.8 | 45 | 0.535156 | 32 | 256 | 4.09375 | 0.53125 | 0.305344 | 0.183206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.398438 | 256 | 19 | 46 | 13.473684 | 0.850649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0.111111 | 0.222222 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
a1e5970f32798ddbe4170795df50442dcbcdba33 | 219 | py | Python | filter_plugins/collections.py | GParedesDevo/ansible-redis | e3d80ea8f094d2833cf8a31d3ab2b86c0c375350 | [
"MIT"
] | 3 | 2019-12-27T03:35:54.000Z | 2021-06-20T14:08:44.000Z | filter_plugins/collections.py | GParedesDevo/ansible-redis | e3d80ea8f094d2833cf8a31d3ab2b86c0c375350 | [
"MIT"
] | 2 | 2021-06-21T13:13:31.000Z | 2021-07-02T07:51:28.000Z | filter_plugins/collections.py | GParedesDevo/ansible-redis | e3d80ea8f094d2833cf8a31d3ab2b86c0c375350 | [
"MIT"
] | 3 | 2020-02-26T18:45:19.000Z | 2021-06-20T14:08:46.000Z | def arraypermute(collection, key):
return [ str(i) + str(j) for i in collection for j in key ]
class FilterModule(object):
def filters(self):
return {
'arraypermute': arraypermute
} | 24.333333 | 63 | 0.611872 | 26 | 219 | 5.153846 | 0.576923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.287671 | 219 | 9 | 64 | 24.333333 | 0.858974 | 0 | 0 | 0 | 0 | 0 | 0.054545 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0 | 0.285714 | 0.714286 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
62959df03ae5d00e6559ee16679e1e160d2e8cbc | 781 | py | Python | ohmystars/tests.py | wolfg1969/oh-my-stars | dbf51044a4dd5964ac4534b161624d0e3284afe3 | [
"MIT"
] | 76 | 2015-08-04T09:47:18.000Z | 2022-03-08T01:40:32.000Z | ohmystars/tests.py | wolfg1969/oh-my-stars | dbf51044a4dd5964ac4534b161624d0e3284afe3 | [
"MIT"
] | 9 | 2018-01-17T00:56:55.000Z | 2021-06-01T21:59:32.000Z | ohmystars/tests.py | seanbreckenridge/oh-my-stars | f4fce9757905839b3a86caf9b5d45b3b544d65a4 | [
"MIT"
] | 7 | 2016-08-18T05:26:17.000Z | 2020-09-23T04:55:35.000Z | import unittest
from index import update_inverted_index
__author__ = 'guoyong'
class IndexTest(unittest.TestCase):
def setUp(self):
self.index = {
'python': []
}
def test_update_inverted_index_empty(self):
update_inverted_index(self.index, 'python', 1, 2, 3)
self.assertEqual([1, 2, 3], self.index.get('python'))
def test_update_inverted_index_duplicate_item(self):
update_inverted_index(self.index, 'python', 1, 2, 3)
update_inverted_index(self.index, 'python', 3)
self.assertEqual([1, 2, 3], self.index.get('python'))
def test_update_inverted_index_sorted(self):
update_inverted_index(self.index, 'python', 3, 1, 2)
self.assertEqual([1, 2, 3], self.index.get('python'))
| 27.892857 | 61 | 0.65685 | 103 | 781 | 4.718447 | 0.242718 | 0.230453 | 0.312757 | 0.1893 | 0.716049 | 0.716049 | 0.650206 | 0.5 | 0.5 | 0.425926 | 0 | 0.030794 | 0.209987 | 781 | 27 | 62 | 28.925926 | 0.756888 | 0 | 0 | 0.277778 | 0 | 0 | 0.070513 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.222222 | false | 0 | 0.111111 | 0 | 0.388889 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
62bacac50076f8d20933041b257e6eecd0be0253 | 129 | py | Python | problems/permutations/solution-1.py | MleMoe/LeetCode-1 | 14f275ba3c8079b820808da17c4952fcf9c8253c | [
"MIT"
] | 2 | 2021-03-25T01:58:55.000Z | 2021-08-06T12:47:13.000Z | problems/permutations/solution-1.py | MleMoe/LeetCode-1 | 14f275ba3c8079b820808da17c4952fcf9c8253c | [
"MIT"
] | 3 | 2019-08-27T13:25:42.000Z | 2021-08-28T17:49:34.000Z | problems/permutations/solution-1.py | MleMoe/LeetCode-1 | 14f275ba3c8079b820808da17c4952fcf9c8253c | [
"MIT"
] | 1 | 2021-08-14T08:49:39.000Z | 2021-08-14T08:49:39.000Z | import itertools
class Solution:
def permute(self, nums: [int]) -> [[int]]:
return list(itertools.permutations(nums)) | 32.25 | 49 | 0.674419 | 15 | 129 | 5.8 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178295 | 129 | 4 | 49 | 32.25 | 0.820755 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
62dcfa49ce53e9bfedc5780c8391a0c929e58a1b | 353 | py | Python | app/models/__init__.py | abhisuri97/mhealth | 2d74c9c8298d097f86090e3365652d858c682ffa | [
"MIT"
] | null | null | null | app/models/__init__.py | abhisuri97/mhealth | 2d74c9c8298d097f86090e3365652d858c682ffa | [
"MIT"
] | null | null | null | app/models/__init__.py | abhisuri97/mhealth | 2d74c9c8298d097f86090e3365652d858c682ffa | [
"MIT"
] | null | null | null | """
These imports enable us to make all defined models members of the models
module (as opposed to just their python files)
"""
from .user import * # noqa
from .miscellaneous import * # noqa
from .exercise import * # noqa
from .resource import * # noqa
from .medication import * # noqa
from .nutrition import * # noqa
from .plan import * # noqa
| 27.153846 | 72 | 0.711048 | 49 | 353 | 5.122449 | 0.591837 | 0.278884 | 0.334661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.206799 | 353 | 12 | 73 | 29.416667 | 0.896429 | 0.439093 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
1a16364f62a9ae3732679356bc352cebdb61a0f9 | 99 | py | Python | app/admin/__init__.py | lp1225/-001 | 0aad3f7bc2112fd90629a2759ab8651a3c467546 | [
"MIT"
] | 1 | 2018-12-13T14:42:36.000Z | 2018-12-13T14:42:36.000Z | app/admin/__init__.py | lp1225/-001 | 0aad3f7bc2112fd90629a2759ab8651a3c467546 | [
"MIT"
] | null | null | null | app/admin/__init__.py | lp1225/-001 | 0aad3f7bc2112fd90629a2759ab8651a3c467546 | [
"MIT"
] | null | null | null | #encoding: utf-8
from flask import Blueprint
admin = Blueprint('admin', '__name__')
# import views | 19.8 | 38 | 0.747475 | 13 | 99 | 5.384615 | 0.769231 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011628 | 0.131313 | 99 | 5 | 39 | 19.8 | 0.802326 | 0.282828 | 0 | 0 | 0 | 0 | 0.185714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 1 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 5 |
1a217432bd644fe4d02d96a2c822e4f530023553 | 366 | py | Python | aes_cipher/__init__.py | ebellocchia/aes_cipher | aac378f4073b85b9439bf5db080cfe070e9b393e | [
"MIT"
] | 1 | 2021-09-15T02:45:45.000Z | 2021-09-15T02:45:45.000Z | aes_cipher/__init__.py | ebellocchia/aes_cipher | aac378f4073b85b9439bf5db080cfe070e9b393e | [
"MIT"
] | null | null | null | aes_cipher/__init__.py | ebellocchia/aes_cipher | aac378f4073b85b9439bf5db080cfe070e9b393e | [
"MIT"
] | null | null | null | #
# Imports
#
from aes_cipher._version import __version__
from aes_cipher.data_ex import DataDecryptError, DataHmacError
from aes_cipher.data_decrypter import DataDecrypter
from aes_cipher.data_encrypter import DataEncrypter
from aes_cipher.file_decrypter import FileDecrypter
from aes_cipher.file_encrypter import FileEncrypter
from aes_cipher.logger import Logger
| 33.272727 | 62 | 0.879781 | 49 | 366 | 6.22449 | 0.367347 | 0.160656 | 0.298361 | 0.167213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090164 | 366 | 10 | 63 | 36.6 | 0.915916 | 0.019126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
1a25e1d7b6445d5f8cc24d0801ec18c1655d4b96 | 60 | py | Python | petstagram/core/clean_up.py | ZhivkoZhelyazkov/Petstagram | 0e7ade5175f517f8935d4be0cb8f71cd31a06cf9 | [
"MIT"
] | null | null | null | petstagram/core/clean_up.py | ZhivkoZhelyazkov/Petstagram | 0e7ade5175f517f8935d4be0cb8f71cd31a06cf9 | [
"MIT"
] | null | null | null | petstagram/core/clean_up.py | ZhivkoZhelyazkov/Petstagram | 0e7ade5175f517f8935d4be0cb8f71cd31a06cf9 | [
"MIT"
] | null | null | null | import os
def clean_up_files(path):
os.remove(path)
| 7.5 | 25 | 0.683333 | 10 | 60 | 3.9 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.216667 | 60 | 7 | 26 | 8.571429 | 0.829787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
1a29b6c04b1d8c7894db10e5d1db43e7ca848746 | 119 | py | Python | snaps/admin.py | rosekairu/SnapGram | 06581f90de573b0f89277424964a9e48226a5173 | [
"MIT"
] | null | null | null | snaps/admin.py | rosekairu/SnapGram | 06581f90de573b0f89277424964a9e48226a5173 | [
"MIT"
] | 6 | 2021-03-30T13:54:19.000Z | 2021-09-22T19:22:59.000Z | snaps/admin.py | rosekairu/SnapGram | 06581f90de573b0f89277424964a9e48226a5173 | [
"MIT"
] | null | null | null | from django.contrib import admin
from.models import Profile
# Register your models here.
admin.site.register(Profile) | 19.833333 | 32 | 0.815126 | 17 | 119 | 5.705882 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 119 | 6 | 33 | 19.833333 | 0.92381 | 0.218487 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 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 | 5 |
a7e1d4934bcadb4b86348347f7c17a057c479702 | 1,489 | py | Python | 14/main.py | effie-0/Advent-of-Code-2018 | 3b9c6421a1ec8ee487dd0f5f0f202f95f1bd1a69 | [
"MIT"
] | null | null | null | 14/main.py | effie-0/Advent-of-Code-2018 | 3b9c6421a1ec8ee487dd0f5f0f202f95f1bd1a69 | [
"MIT"
] | null | null | null | 14/main.py | effie-0/Advent-of-Code-2018 | 3b9c6421a1ec8ee487dd0f5f0f202f95f1bd1a69 | [
"MIT"
] | null | null | null | # 12.14
import re
if __name__ == '__main__':
input_num = 990941
recipe_list = [3, 7]
recipe_str = "37"
worker1 = 0
worker2 = 1
while len(recipe_list) < (input_num + 10):
_sum = recipe_list[worker1] + recipe_list[worker2]
new_r1 = int(_sum / 10)
new_r2 = int(_sum % 10)
if new_r1 != 0:
recipe_list.append(new_r1)
recipe_str += str(new_r1)
recipe_list.append(new_r2)
recipe_str += str(new_r2)
worker1 += recipe_list[worker1] + 1
worker1 = worker1 % len(recipe_list)
worker2 += recipe_list[worker2] + 1
worker2 = worker2 % len(recipe_list)
print(recipe_list[input_num:input_num + 10])
match_obj = re.search(r'990941', recipe_str)
if match_obj:
print(match_obj)
else:
while not match_obj:
_sum = recipe_list[worker1] + recipe_list[worker2]
new_r1 = int(_sum / 10)
new_r2 = int(_sum % 10)
if new_r1 != 0:
recipe_list.append(new_r1)
recipe_str += str(new_r1)
recipe_list.append(new_r2)
recipe_str += str(new_r2)
worker1 += recipe_list[worker1] + 1
worker1 = worker1 % len(recipe_list)
worker2 += recipe_list[worker2] + 1
worker2 = worker2 % len(recipe_list)
match_obj = re.search(r'990941', recipe_str[-12:])
print(len(recipe_str) - 12 + match_obj.span()[0])
| 32.369565 | 62 | 0.566823 | 195 | 1,489 | 3.994872 | 0.189744 | 0.243902 | 0.130937 | 0.097561 | 0.726573 | 0.726573 | 0.726573 | 0.726573 | 0.644416 | 0.644416 | 0 | 0.086481 | 0.324379 | 1,489 | 45 | 63 | 33.088889 | 0.687873 | 0.003358 | 0 | 0.6 | 0 | 0 | 0.014855 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.025 | 0 | 0.025 | 0.075 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a7f6a9b3f613d268ca44959aa3cfb370a3ec72f3 | 22 | py | Python | src/django-nonrel/django/forms/extras/__init__.py | adamjmcgrath/glancydesign | 826ede7c639879d5b79ee730eb5e91422768cb02 | [
"BSD-3-Clause"
] | 790 | 2015-01-03T02:13:39.000Z | 2020-05-10T19:53:57.000Z | django/forms/extras/__init__.py | mradziej/django | 5d38965743a369981c9a738a298f467f854a2919 | [
"BSD-3-Clause"
] | 1,361 | 2015-01-08T23:09:40.000Z | 2020-04-14T00:03:04.000Z | django/forms/extras/__init__.py | mradziej/django | 5d38965743a369981c9a738a298f467f854a2919 | [
"BSD-3-Clause"
] | 155 | 2015-01-08T22:59:31.000Z | 2020-04-08T08:01:53.000Z | from widgets import *
| 11 | 21 | 0.772727 | 3 | 22 | 5.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 22 | 1 | 22 | 22 | 0.944444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
c5060830e2c5deb6dbc6c0671c91d4f28fe44457 | 49,029 | py | Python | methcomp/glucose.py | wptmdoorn/methcomp | 6d024d873dc816a8835b21ec0375e0554dc86194 | [
"MIT"
] | 3 | 2020-09-26T23:45:43.000Z | 2021-04-29T09:20:31.000Z | methcomp/glucose.py | wptmdoorn/methcomp | 6d024d873dc816a8835b21ec0375e0554dc86194 | [
"MIT"
] | 23 | 2020-10-19T11:08:21.000Z | 2021-06-29T19:21:02.000Z | methcomp/glucose.py | wptmdoorn/methcomp | 6d024d873dc816a8835b21ec0375e0554dc86194 | [
"MIT"
] | 6 | 2019-12-10T09:01:27.000Z | 2021-05-05T11:30:09.000Z | # -*- coding: utf-8 -*-
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from shapely.geometry import Point, Polygon
try:
import importlib.resources as pkg_resources
from importlib.resources import path
def path_func(pkg, file):
with path(pkg, file) as p:
return p
except ImportError:
# Try backported to PY<37 `importlib_resources`.
import importlib_resources as pkg_resources # type: ignore
def path_func(pkg, file):
return pkg_resources.files(pkg).joinpath(file)
__all__ = ["clarke", "parkes", "seg", "clarkezones", "parkeszones", "segscores"]
class _Clarke(object):
"""Internal class for drawing a Clarke-Error grid plotting"""
def __init__(
self,
reference,
test,
units,
x_title,
y_title,
graph_title,
xlim,
ylim,
color_grid,
color_gridlabels,
color_points,
grid,
percentage,
point_kws,
grid_kws,
):
# variables assignment
self.reference: np.array = np.asarray(reference)
self.test: np.array = np.asarray(test)
self.units = units
self.graph_title: str = graph_title
self.x_title: str = x_title
self.y_title: str = y_title
self.xlim: list = xlim
self.ylim: list = ylim
self.color_grid: str = color_grid
self.color_gridlabels: str = color_gridlabels
self.color_points: str = color_points
self.grid: bool = grid
self.percentage: bool = percentage
self.point_kws = {} if point_kws is None else point_kws.copy()
self.grid_kws = {} if grid_kws is None else grid_kws.copy()
self._check_params()
self._derive_params()
def _check_params(self):
if len(self.reference) != len(self.test):
raise ValueError("Length of reference and test values are not equal")
if self.units not in ["mmol", "mg/dl", "mgdl"]:
raise ValueError(
"The provided units should be one of the following: "
"mmol, mgdl or mg/dl."
)
if any(
[
x is not None and not isinstance(x, str)
for x in [self.x_title, self.y_title]
]
):
raise ValueError("Axes labels arguments should be provided as a str.")
def _derive_params(self):
if self.x_title is None:
_unit = "mmol/L" if "mmol" else "mg/dL"
self.x_title = "Reference glucose concentration ({})".format(_unit)
if self.y_title is None:
_unit = "mmol/L" if "mmol" else "mg/dL"
self.y_title = "Predicted glucose concentration ({})".format(_unit)
self.xlim = self.xlim or [0, 400]
self.ylim = self.ylim or [0, 400]
def _calc_error_zone(self):
# ref, pred
ref = self.reference
pred = self.test
# calculate conversion factor if needed
n = 18 if self.units == "mmol" else 1
# we initialize an array with ones
# this in fact very smart because all the non-matching values will automatically
# end up in zone B (which is 1)!
_zones = np.ones(len(ref))
# absolute relative error = abs(bias)/reference*100
bias = pred - ref
are = abs(bias) / ref * 100
eq1 = (7 / 5) * (ref - 130 / n)
eq2 = ref + 110 / n
# zone E: (ref <= 70 and test >= 180) or (ref >=180 and test <=70)
zone_e = ((ref <= 70 / n) & (pred >= 180 / n)) | (
(ref >= 180 / n) & (pred <= 70 / n)
)
_zones[zone_e] = 4
# zone D: ref < 70 and (test > 70 and test < 180) or
# ref > 240 and (test > 70 and test < 180)
test_d = (pred >= 70 / n) & (
pred < 180 / n
) # error corrected >=70 instead of >70
zone_d = ((ref < 70 / n) & test_d) | ((ref > 240 / n) & test_d)
_zones[zone_d] = 3
# zone C: (ref >= 130 and ref <= 180 and test < eq1) or
# (ref > 70 and ref > 180 and ref > eq2)
zone_c = ((ref >= 130 / n) & (ref <= 180 / n) & (pred < eq1)) | (
(ref > 70 / n) & (pred > 180 / n) & (pred > eq2)
)
_zones[zone_c] = 2
# zone A: are <= 20 or (ref < 58.3 and test < 70)
zone_a = (are <= 20) | ((ref < 70 / n) & (pred < 70 / n))
_zones[zone_a] = 0
return [int(i) for i in _zones]
def plot(self, ax):
_gridlines = [
([0, 400], [0, 400], ":"),
([0, 175 / 3], [70, 70], "-"),
([175 / 3, 400 / 1.2], [70, 400], "-"),
([70, 70], [84, 400], "-"),
([0, 70], [180, 180], "-"),
([70, 290], [180, 400], "-"),
([70, 70], [0, 56], "-"),
([70, 400], [56, 320], "-"),
([180, 180], [0, 70], "-"),
([180, 400], [70, 70], "-"),
([240, 240], [70, 180], "-"),
([240, 400], [180, 180], "-"),
([130, 180], [0, 70], "-"),
]
colors = ["#196600", "#7FFF00", "#FF7B00", "#FF5700", "#FF0000"]
_gridlabels = [
(30, 15, "A", colors[0]),
(370, 260, "B", colors[1]),
(280, 370, "B", colors[1]),
(160, 370, "C", colors[2]),
(160, 15, "C", colors[2]),
(30, 140, "D", colors[3]),
(370, 120, "D", colors[3]),
(30, 370, "E", colors[4]),
(370, 15, "E", colors[4]),
]
# calculate conversion factor if needed
n = 18 if self.units == "mmol" else 1
# plot individual points
if self.color_points == "auto":
ax.scatter(
self.reference,
self.test,
marker="o",
alpha=0.6,
c=[colors[i] for i in self._calc_error_zone()],
s=8,
**self.point_kws
)
else:
ax.scatter(
self.reference,
self.test,
marker="o",
color=self.color_points,
alpha=0.6,
s=8,
**self.point_kws
)
# plot grid lines
if self.grid:
for g in _gridlines:
ax.plot(
np.array(g[0]) / n,
np.array(g[1]) / n,
g[2],
color=self.color_grid,
**self.grid_kws
)
if self.percentage:
zones = [["A", "B", "C", "D", "E"][i] for i in self._calc_error_zone()]
for label in _gridlabels:
ax.text(
label[0] / n,
label[1] / n,
label[2],
fontsize=12,
fontweight="bold",
color=label[3]
if self.color_gridlabels == "auto"
else self.color_gridlabels,
)
ax.text(
label[0] / n + (8 / n),
label[1] / n + (8 / n),
"{:.1f}".format((zones.count(label[2]) / len(zones)) * 100),
fontsize=9,
fontweight="bold",
color=label[3]
if self.color_gridlabels == "auto"
else self.color_gridlabels,
)
else:
for label in _gridlabels:
ax.text(
label[0] / n,
label[1] / n,
label[2],
fontsize=12,
fontweight="bold",
color=label[3]
if self.color_gridlabels == "auto"
else self.color_gridlabels,
)
# limits and ticks
ax.set_xlim(self.xlim[0] / n, self.xlim[1] / n)
ax.set_ylim(self.ylim[0] / n, self.ylim[1] / n)
# graph labels
ax.set_ylabel(self.y_title)
ax.set_xlabel(self.x_title)
if self.graph_title is not None:
ax.set_title(self.graph_title)
def clarke(
reference,
test,
units,
x_label=None,
y_label=None,
title=None,
xlim=None,
ylim=None,
color_grid="#000000",
color_gridlabels="auto",
color_points="auto",
grid=True,
percentage=False,
point_kws=None,
grid_kws=None,
square=False,
ax=None,
):
"""Provide a glucose error grid analyses as designed by Clarke.
This is an Axis-level function which will draw the Clarke-error grid plot.
onto the current active Axis object unless ``ax`` is provided.
Parameters
----------
reference, test : array, or list
Glucose values obtained from the reference and predicted methods, preferably
provided in a np.array.
units : str
The SI units which the glucose values are provided in.
Options: 'mmol', 'mgdl' or 'mg/dl'.
x_label : str, optional
The label which is added to the X-axis. If None is provided, a standard
label will be added.
y_label : str, optional
The label which is added to the Y-axis. If None is provided, a standard
label will be added.
title : str, optional
Title of the Clarke error grid plot. If None is provided, no title will
be plotted.
xlim : list, optional
Minimum and maximum limits for X-axis. Should be provided as list or tuple.
If not set, matplotlib will decide its own bounds.
ylim : list, optional
Minimum and maximum limits for Y-axis. Should be provided as list or tuple.
If not set, matplotlib will decide its own bounds.
color_grid : str, optional
Color of the Clarke error grid lines.
color_gridlabels : str, optional
Color of the gridlabels (A, B, C, ..) that will be plotted. If set to 'auto',
it will plot the points according to their zones.
color_points : str, optional
Color of the individual differences that will be plotted. If set to 'auto',
it will plot the points according to their zones.
grid : bool, optional
Enable the grid lines of the Parkes error. Defaults to True.
percentage : bool, optional
If True, percentage of the zones will be depicted in the plot.
point_kws : dict of key, value mappings, optional
Additional keyword arguments for `plt.scatter`.
grid_kws : dict of key, value mappings, optional
Additional keyword arguments for the grid with `plt.plot`.
square : bool, optional
If True, set the Axes aspect to "equal" so each cell will be square-shaped.
ax : matplotlib Axes, optional
Axes in which to draw the plot, otherwise use the currently-active
Axes.
Returns
-------
ax : matplotlib Axes
Axes object with the Clarke-error grid plot.
See Also
-------
Clarke, W. L., Cox, D., et al. Diabetes Care, vol. 10, no. 5, 1987, pp. 622–628.
"""
plotter: _Clarke = _Clarke(
reference,
test,
units,
x_label,
y_label,
title,
xlim,
ylim,
color_grid,
color_gridlabels,
color_points,
grid,
percentage,
point_kws,
grid_kws,
)
# Draw the plot and return the Axes
if ax is None:
ax = plt.gca()
if square:
ax.set_aspect("equal")
plotter.plot(ax)
return ax
def clarkezones(reference, test, units, numeric=False):
"""Provides the error zones as depicted by the
Clarke error grid analysis for each point in the reference and test datasets.
Parameters
----------
reference, test : array, or list
Glucose values obtained from the reference and predicted methods, preferably
provided in a np.array.
units : str
The SI units which the glucose values are provided in.
Options: 'mmol', 'mgdl' or 'mg/dl'.
numeric : bool, optional
If this is set to true, returns integers (0 to 4) instead of characters for
each of the zones.
Returns
-------
clarkezones : list
Returns a list depecting the zones for each of the reference and test values.
"""
# obtain zones from a Clarke reference object
_zones = _Clarke(
reference,
test,
units,
None,
None,
None,
None,
None,
"#000000",
"auto",
"auto",
True,
False,
None,
None,
)._calc_error_zone()
if numeric:
return _zones
else:
labels = ["A", "B", "C", "D", "E"]
return [labels[i] for i in _zones]
class _Parkes(object):
"""Internal class for drawing a Parkes consensus error grid plot"""
def __init__(
self,
type,
reference,
test,
units,
x_title,
y_title,
graph_title,
xlim,
ylim,
color_grid,
color_gridlabels,
color_points,
grid,
percentage,
point_kws,
grid_kws,
):
# variables assignment
self.type: int = type
self.reference: np.array = np.asarray(reference)
self.test: np.array = np.asarray(test)
self.units = units
self.graph_title: str = graph_title
self.x_title: str = x_title
self.y_title: str = y_title
self.xlim: list = xlim
self.ylim: list = ylim
self.color_grid: str = color_grid
self.color_gridlabels: str = color_gridlabels
self.color_points: str = color_points
self.grid: bool = grid
self.percentage: bool = percentage
self.point_kws = {} if point_kws is None else point_kws.copy()
self.grid_kws = {} if grid_kws is None else grid_kws.copy()
self._check_params()
self._derive_params()
def _check_params(self):
if self.type != 1 and self.type != 2:
raise ValueError("Type of Diabetes should either be 1 or 2.")
if len(self.reference) != len(self.test):
raise ValueError("Length of reference and test values are not equal")
if self.units not in ["mmol", "mg/dl", "mgdl"]:
raise ValueError(
"The provided units should be one of the following:"
" mmol, mgdl or mg/dl."
)
if any(
[
x is not None and not isinstance(x, str)
for x in [self.x_title, self.y_title]
]
):
raise ValueError("Axes labels arguments should be provided as a str.")
def _derive_params(self):
if self.x_title is None:
_unit = "mmol/L" if "mmol" else "mg/dL"
self.x_title = "Reference glucose concentration ({})".format(_unit)
if self.y_title is None:
_unit = "mmol/L" if "mmol" else "mg/dL"
self.y_title = "Predicted glucose concentration ({})".format(_unit)
def _coef(self, x, y, xend, yend):
if xend == x:
raise ValueError("Vertical line - function inapplicable")
return (yend - y) / (xend - x)
def _endy(self, startx, starty, maxx, coef):
return (maxx - startx) * coef + starty
def _endx(self, startx, starty, maxy, coef):
return (maxy - starty) / coef + startx
def _calc_error_zone(self):
# ref, pred
ref = self.reference
pred = self.test
# calculate conversion factor if needed
n = 18 if self.units == "mmol" else 1
maxX = max(max(ref) + 20 / n, 550 / n)
maxY = max([*(np.array(pred) + 20 / n), maxX, 550 / n])
# we initialize an array with ones
# this in fact very smart because all the non-matching values will automatically
# end up in zone A (which is zero)
_zones = np.zeros(len(ref))
if self.type == 1:
ce = self._coef(35, 155, 50, 550)
cdu = self._coef(80, 215, 125, 550)
cdl = self._coef(250, 40, 550, 150)
ccu = self._coef(70, 110, 260, 550)
ccl = self._coef(260, 130, 550, 250)
cbu = self._coef(280, 380, 430, 550)
cbl = self._coef(385, 300, 550, 450)
limitE1 = Polygon(
[
(x, y)
for x, y in zip(
[0, 35 / n, self._endx(35 / n, 155 / n, maxY, ce), 0, 0],
[150 / n, 155 / n, maxY, maxY, 150 / n],
)
]
)
limitD1L = Polygon(
[
(x, y)
for x, y in zip(
[250 / n, 250 / n, maxX, maxX, 250 / n],
[0, 40 / n, self._endy(410 / n, 110 / n, maxX, cdl), 0, 0],
)
]
)
limitD1U = Polygon(
[
(x, y)
for x, y in zip(
[
0,
25 / n,
50 / n,
80 / n,
self._endx(80 / n, 215 / n, maxY, cdu),
0,
0,
],
[100 / n, 100 / n, 125 / n, 215 / n, maxY, maxY, 100 / n],
)
]
)
limitC1L = Polygon(
[
(x, y)
for x, y in zip(
[120 / n, 120 / n, 260 / n, maxX, maxX, 120 / n],
[
0,
30 / n,
130 / n,
self._endy(260 / n, 130 / n, maxX, ccl),
0,
0,
],
)
]
)
limitC1U = Polygon(
[
(x, y)
for x, y in zip(
[
0,
30 / n,
50 / n,
70 / n,
self._endx(70 / n, 110 / n, maxY, ccu),
0,
0,
],
[60 / n, 60 / n, 80 / n, 110 / n, maxY, maxY, 60 / n],
)
]
)
limitB1L = Polygon(
[
(x, y)
for x, y in zip(
[50 / n, 50 / n, 170 / n, 385 / n, maxX, maxX, 50 / n],
[
0,
30 / n,
145 / n,
300 / n,
self._endy(385 / n, 300 / n, maxX, cbl),
0,
0,
],
)
]
)
limitB1U = Polygon(
[
(x, y)
for x, y in zip(
[
0,
30 / n,
140 / n,
280 / n,
self._endx(280 / n, 380 / n, maxY, cbu),
0,
0,
],
[50 / n, 50 / n, 170 / n, 380 / n, maxY, maxY, 50 / n],
)
]
)
for i, points in enumerate(zip(ref, pred)):
for f, r in zip(
[
limitB1L,
limitB1U,
limitC1L,
limitC1U,
limitD1L,
limitD1U,
limitE1,
],
[1, 1, 2, 2, 3, 3, 4],
):
if f.contains(Point(points[0], points[1])):
_zones[i] = r
return [int(i) for i in _zones]
elif self.type == 2:
ce = self._coef(35, 200, 50, 550)
cdu = self._coef(35, 90, 125, 550)
cdl = self._coef(410, 110, 550, 160)
ccu = self._coef(30, 60, 280, 550)
ccl = self._coef(260, 130, 550, 250)
cbu = self._coef(230, 330, 440, 550)
cbl = self._coef(330, 230, 550, 450)
limitE2 = Polygon(
[
(x, y)
for x, y in zip(
[
0,
35 / n,
self._endx(35 / n, 200 / n, maxY, ce),
0,
0,
], # x limits E upper
[200 / n, 200 / n, maxY, maxY, 200 / n],
)
]
) # y limits E upper
limitD2L = Polygon(
[
(x, y)
for x, y in zip(
[
250 / n,
250 / n,
410 / n,
maxX,
maxX,
250 / n,
], # x limits D lower
[
0,
40 / n,
110 / n,
self._endy(410 / n, 110 / n, maxX, cdl),
0,
0,
],
)
]
) # y limits D lower
limitD2U = Polygon(
[
(x, y)
for x, y in zip(
[
0,
25 / n,
35 / n,
self._endx(35 / n, 90 / n, maxY, cdu),
0,
0,
], # x limits D upper
[80 / n, 80 / n, 90 / n, maxY, maxY, 80 / n],
)
]
) # y limits D upper
limitC2L = Polygon(
[
(x, y)
for x, y in zip(
[90 / n, 260 / n, maxX, maxX, 90 / n], # x limits C lower
[0, 130 / n, self._endy(260 / n, 130 / n, maxX, ccl), 0, 0],
)
]
) # y limits C lower
limitC2U = Polygon(
[
(x, y)
for x, y in zip(
[
0,
30 / n,
self._endx(30 / n, 60 / n, maxY, ccu),
0,
0,
], # x limits C upper
[60 / n, 60 / n, maxY, maxY, 60 / n],
)
]
) # y limits C upper
limitB2L = Polygon(
[
(x, y)
for x, y in zip(
[
50 / n,
50 / n,
90 / n,
330 / n,
maxX,
maxX,
50 / n,
], # x limits B lower
[
0,
30 / n,
80 / n,
230 / n,
self._endy(330 / n, 230 / n, maxX, cbl),
0,
0,
],
)
]
) # y limits B lower
limitB2U = Polygon(
[
(x, y)
for x, y in zip(
[
0,
30 / n,
230 / n,
self._endx(230 / n, 330 / n, maxY, cbu),
0,
0,
], # x limits B upper
[50 / n, 50 / n, 330 / n, maxY, maxY, 50 / n],
)
]
) # y limits B upper
for i, points in enumerate(zip(ref, pred)):
for f, r in zip(
[
limitB2L,
limitB2U,
limitC2L,
limitC2U,
limitD2L,
limitD2U,
limitE2,
],
[1, 1, 2, 2, 3, 3, 4],
):
if f.contains(Point(points[0], points[1])):
_zones[i] = r
return [int(i) for i in _zones]
def plot(self, ax):
# ref, pred
ref = self.reference
pred = self.test
# calculate conversion factor if needed
n = 18 if self.units == "mmol" else 1
maxX = self.xlim or max(max(ref) + 20 / n, 550 / n)
maxY = self.ylim or max([*(np.array(pred) + 20 / n), maxX, 550 / n])
if self.type == 1:
ce = self._coef(35, 155, 50, 550)
cdu = self._coef(80, 215, 125, 550)
cdl = self._coef(250, 40, 550, 150)
ccu = self._coef(70, 110, 260, 550)
ccl = self._coef(260, 130, 550, 250)
cbu = self._coef(280, 380, 430, 550)
cbl = self._coef(385, 300, 550, 450)
_gridlines = [
([0, min(maxX, maxY)], [0, min(maxX, maxY)], ":"),
([0, 30 / n], [50 / n, 50 / n], "-"),
([30 / n, 140 / n], [50 / n, 170 / n], "-"),
([140 / n, 280 / n], [170 / n, 380 / n], "-"),
(
[280 / n, self._endx(280 / n, 380 / n, maxY, cbu)],
[380 / n, maxY],
"-",
),
([50 / n, 50 / n], [0 / n, 30 / n], "-"),
([50 / n, 170 / n], [30 / n, 145 / n], "-"),
([170 / n, 385 / n], [145 / n, 300 / n], "-"),
(
[385 / n, maxX],
[300 / n, self._endy(385 / n, 300 / n, maxX, cbl)],
"-",
),
([0 / n, 30 / n], [60 / n, 60 / n], "-"),
([30 / n, 50 / n], [60 / n, 80 / n], "-"),
([50 / n, 70 / n], [80 / n, 110 / n], "-"),
(
[70 / n, self._endx(70 / n, 110 / n, maxY, ccu)],
[110 / n, maxY],
"-",
),
([120 / n, 120 / n], [0 / n, 30 / n], "-"),
([120 / n, 260 / n], [30 / n, 130 / n], "-"),
(
[260 / n, maxX],
[130 / n, self._endy(260 / n, 130 / n, maxX, ccl)],
"-",
),
([0 / n, 25 / n], [100 / n, 100 / n], "-"),
([25 / n, 50 / n], [100 / n, 125 / n], "-"),
([50 / n, 80 / n], [125 / n, 215 / n], "-"),
(
[80 / n, self._endx(80 / n, 215 / n, maxY, cdu)],
[215 / n, maxY],
"-",
),
([250 / n, 250 / n], [0 / n, 40 / n], "-"),
(
[250 / n, maxX],
[40 / n, self._endy(410 / n, 110 / n, maxX, cdl)],
"-",
),
([0 / n, 35 / n], [150 / n, 155 / n], "-"),
([35 / n, self._endx(35 / n, 155 / n, maxY, ce)], [155 / n, maxY], "-"),
]
elif self.type == 2:
ce = self._coef(35, 200, 50, 550)
cdu = self._coef(35, 90, 125, 550)
cdl = self._coef(410, 110, 550, 160)
ccu = self._coef(30, 60, 280, 550)
ccl = self._coef(260, 130, 550, 250)
cbu = self._coef(230, 330, 440, 550)
cbl = self._coef(330, 230, 550, 450)
_gridlines = [
([0, min(maxX, maxY)], [0, min(maxX, maxY)], ":"),
([0, 30 / n], [50 / n, 50 / n], "-"),
([30 / n, 230 / n], [50 / n, 330 / n], "-"),
(
[230 / n, self._endx(230 / n, 330 / n, maxY, cbu)],
[330 / n, maxY],
"-",
),
([50 / n, 50 / n], [0 / n, 30 / n], "-"),
([50 / n, 90 / n], [30 / n, 80 / n], "-"),
([90 / n, 330 / n], [80 / n, 230 / n], "-"),
(
[330 / n, maxX],
[230 / n, self._endy(330 / n, 230 / n, maxX, cbl)],
"-",
),
([0 / n, 30 / n], [60 / n, 60 / n], "-"),
([30 / n, self._endx(30 / n, 60 / n, maxY, ccu)], [60 / n, maxY], "-"),
([90 / n, 260 / n], [0 / n, 130 / n], "-"),
(
[260 / n, maxX],
[130 / n, self._endy(260 / n, 130 / n, maxX, ccl)],
"-",
),
([0 / n, 25 / n], [80 / n, 80 / n], "-"),
([25 / n, 35 / n], [80 / n, 90 / n], "-"),
([35 / n, self._endx(35 / n, 90 / n, maxY, cdu)], [90 / n, maxY], "-"),
([250 / n, 250 / n], [0 / n, 40 / n], "-"),
([250 / n, 410 / n], [40 / n, 110 / n], "-"),
(
[410 / n, maxX],
[110 / n, self._endy(410 / n, 110 / n, maxX, cdl)],
"-",
),
([0 / n, 35 / n], [200 / n, 200 / n], "-"),
([35 / n, self._endx(35 / n, 200 / n, maxY, ce)], [200 / n, maxY], "-"),
]
colors = ["#196600", "#7FFF00", "#FF7B00", "#FF5700", "#FF0000"]
_gridlabels = [
(600, 600, "A", colors[0]),
(360, 600, "B", colors[1]),
(600, 355, "B", colors[1]),
(165, 600, "C", colors[2]),
(600, 215, "C", colors[2]),
(600, 50, "D", colors[3]),
(75, 600, "D", colors[3]),
(5, 600, "E", colors[4]),
]
# plot individual points
if self.color_points == "auto":
ax.scatter(
self.reference,
self.test,
marker="o",
alpha=0.6,
c=[colors[i] for i in self._calc_error_zone()],
s=8,
**self.point_kws
)
else:
ax.scatter(
self.reference,
self.test,
marker="o",
color=self.color_points,
alpha=0.6,
s=8,
**self.point_kws
)
# plot grid lines
if self.grid:
for g in _gridlines:
ax.plot(
np.array(g[0]),
np.array(g[1]),
g[2],
color=self.color_grid,
**self.grid_kws
)
if self.percentage:
zones = [["A", "B", "C", "D", "E"][i] for i in self._calc_error_zone()]
for label in _gridlabels:
ax.text(
label[0] / n,
label[1] / n,
label[2],
fontsize=12,
fontweight="bold",
color=label[3]
if self.color_gridlabels == "auto"
else self.color_gridlabels,
)
ax.text(
label[0] / n + (18 / n),
label[1] / n + (18 / n),
"{:.1f}".format((zones.count(label[2]) / len(zones)) * 100),
fontsize=9,
fontweight="bold",
color=label[3]
if self.color_gridlabels == "auto"
else self.color_gridlabels,
)
else:
for label in _gridlabels:
ax.text(
label[0] / n,
label[1] / n,
label[2],
fontsize=12,
fontweight="bold",
color=label[3]
if self.color_gridlabels == "auto"
else self.color_gridlabels,
)
# limits and ticks
_ticks = [
70,
100,
150,
180,
240,
300,
350,
400,
450,
500,
550,
600,
650,
700,
750,
800,
850,
900,
950,
1000,
]
ax.set_xticks([round(x / n, 1) for x in _ticks])
ax.set_yticks([round(x / n, 1) for x in _ticks])
ax.set_xlim(0, maxX)
ax.set_ylim(0, maxY)
# graph labels
ax.set_ylabel(self.y_title)
ax.set_xlabel(self.x_title)
if self.graph_title is not None:
ax.set_title(self.graph_title)
def parkes(
type,
reference,
test,
units,
x_label=None,
y_label=None,
title=None,
xlim=None,
ylim=None,
color_grid="#000000",
color_gridlabels="auto",
color_points="auto",
grid=True,
percentage=False,
point_kws=None,
grid_kws=None,
square=False,
ax=None,
):
"""Provide a glucose error grid analyses as designed by Parkes.
This is an Axis-level function which will draw the Parke-error grid plot.
onto the current active Axis object unless ``ax`` is provided.
Parameters
----------
type : int
Parkes error grid differ for each type of diabetes. This should be either
1 or 2 corresponding to the type of diabetes.
reference, test : array, or list
Glucose values obtained from the reference and predicted methods, preferably
provided in a np.array.
units : str
The SI units which the glucose values are provided in.
Options: 'mmol', 'mgdl' or 'mg/dl'.
x_label : str, optional
The label which is added to the X-axis. If None is provided, a standard
label will be added.
y_label : str, optional
The label which is added to the Y-axis. If None is provided, a standard
label will be added.
title : str, optional
Title of the Parkes-error grid plot. If None is provided, no title will be
plotted.
xlim : list, optional
Minimum and maximum limits for X-axis. Should be provided as list or tuple.
If not set, matplotlib will decide its own bounds.
ylim : list, optional
Minimum and maximum limits for Y-axis. Should be provided as list or tuple.
If not set, matplotlib will decide its own bounds.
color_grid : str, optional
Color of the Clarke error grid lines. Defaults to #000000 which represents
the black color.
color_gridlabels : str, optional
Color of the grid labels (A, B, C, ..) that will be plotted.
Defaults to 'auto' which colors the points according to their relative zones.
color_points : str, optional
Color of the individual differences that will be plotted. Defaults to 'auto'
which colors the points according to their relative zones.
grid : bool, optional
Enable the grid lines of the Parkes error. Defaults to True.
percentage : bool, optional
If True, percentage of the zones will be depicted in the plot.
square : bool, optional
If True, set the Axes aspect to "equal" so each cell will be square-shaped.
point_kws : dict of key, value mappings, optional
Additional keyword arguments for `plt.scatter`.
grid_kws : dict of key, value mappings, optional
Additional keyword arguments for the grid with `plt.plot`.
ax : matplotlib Axes, optional
Axes in which to draw the plot, otherwise use the currently-active
Axes.
Returns
-------
ax : matplotlib Axes
Axes object with the Parkes error grid plot.
References
----------
[parkes_2000] Parkes, J. L., Slatin S. L. et al.
Diabetes Care, vol. 23, no. 8, 2000, pp. 1143-1148.
[pfutzner_2013] Pfutzner, A., Klonoff D. C., et al.
J Diabetes Sci Technol, vol. 7, no. 5, 2013, pp. 1275-1281.
"""
plotter: _Parkes = _Parkes(
type,
reference,
test,
units,
x_label,
y_label,
title,
xlim,
ylim,
color_grid,
color_gridlabels,
color_points,
grid,
percentage,
point_kws,
grid_kws,
)
# Draw the plot and return the Axes
if ax is None:
ax = plt.gca()
if square:
ax.set_aspect("equal")
plotter.plot(ax)
return ax
def parkeszones(type, reference, test, units, numeric=False):
"""Provides the error zones as depicted by the
Parkes error grid analysis for each point in the reference and test datasets.
Parameters
----------
type : int
Parkes error grid differ for each type of diabetes. This should be either
1 or 2 corresponding to the type of diabetes.
reference, test : array, or list
Glucose values obtained from the reference and predicted methods,
preferably provided in a np.array.
units : str
The SI units which the glucose values are provided in.
Options: 'mmol', 'mgdl' or 'mg/dl'.
numeric : bool, optional
If this is set to true, returns integers (0 to 4) instead of characters
for each of the zones.
Returns
-------
parkeszones : list
Returns a list depicting the zones for each of the reference and test values.
"""
# obtain zones from a Clarke reference object
_zones = _Parkes(
type,
reference,
test,
units,
None,
None,
None,
None,
None,
True,
False,
"#000000",
"auto",
"auto",
None,
None,
)._calc_error_zone()
if numeric:
return _zones
else:
labels = ["A", "B", "C", "D", "E"]
return [labels[i] for i in _zones]
class _SEG(object):
"""Internal class for drawing a surveillance error grid error grid plot"""
def __init__(
self,
reference,
test,
units,
x_title,
y_title,
graph_title,
xlim,
ylim,
percentage,
point_kws,
):
# variables assignment
self.reference: np.array = np.asarray(reference)
self.test: np.array = np.asarray(test)
self.units = units
self.graph_title: str = graph_title
self.x_title: str = x_title
self.y_title: str = y_title
self.xlim: list = xlim
self.ylim: list = ylim
self.percentage: bool = percentage
self.point_kws = {} if point_kws is None else point_kws.copy()
self._check_params()
self._derive_params()
def _check_params(self):
if len(self.reference) != len(self.test):
raise ValueError("Length of reference and test values are not equal")
if self.units not in ["mmol", "mg/dl", "mgdl"]:
raise ValueError(
"The provided units should be one of the following: "
"mmol, mgdl or mg/dl."
)
if any(
[
x is not None and not isinstance(x, str)
for x in [self.x_title, self.y_title]
]
):
raise ValueError("Axes labels arguments should be provided as a str.")
def _derive_params(self):
if self.x_title is None:
_unit = "mmol/L" if "mmol" else "mg/dL"
self.x_title = "Reference glucose concentration ({})".format(_unit)
if self.y_title is None:
_unit = "mmol/L" if "mmol" else "mg/dL"
self.y_title = "Predicted glucose concentration ({})".format(_unit)
def _calc_error_score(self):
n = 18 if self.units == "mmol" else 1
ref = self.reference * n
pred = self.test * n
_zones = []
from . import static # temporary fix
data = np.loadtxt(pkg_resources.open_text(static, "seg.csv"))
_zones = np.array([data.T[int(p), int(t)] for p, t in zip(pred, ref)])
return _zones
def plot(self, ax):
# ref, pred
# ref = self.reference NOT USED
# pred = self.test NOT USED
from . import static # temporary fix
# _data = np.loadtxt(pkg_resources.open_text(static, "seg.csv"))
# calculate conversion factor if needed
n = 18 if self.units == "mmol" else 1
maxX = self.xlim or 600
maxY = self.ylim or 600
# Define colormaps
_colors = [
(0, 165 / 256, 0),
(0, 255 / 256, 0),
(255 / 256, 255 / 256, 0),
(255 / 256, 0, 0),
(128 / 256, 0, 0),
]
_nodes = [0.0, 0.4375, 1.0625, 2.7500, 4.000]
cmap = matplotlib.colors.LinearSegmentedColormap.from_list(
"", list(zip([x / 4 for x in _nodes], _colors))
)
# Plot color axes
# from . import static # temporary fix # ALREADY DONE
grid_path = str(path_func(static, "seg600.png"))
cax = ax.imshow(
np.flipud(np.array(plt.imread(grid_path))),
origin="lower",
cmap=cmap,
vmin=0,
vmax=4,
)
# Plot color bar
cbar = plt.colorbar(
cax,
ticks=[0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0],
orientation="vertical",
fraction=0.15,
aspect=6,
)
cbar.ax.tick_params(labelsize=8)
cbar.ax.yaxis.set_label_position("left")
cbar.ax.set_ylabel("Risk score")
# Separators
for s in [0, 0.5, 1.5, 2.5, 3.5, 4]:
cbar.ax.plot(
[6, 6.5], [s] * 2, "-", color="black", lw=1, alpha=1, clip_on=False
)
# Labels
for label in [
(0.25, "None"),
(1.0, "Slight"),
(2.0, "Moderate"),
(3.0, "High"),
(3.75, "Extreme"),
]:
cbar.ax.text(
6.2,
label[0] - 0.008,
label[1],
ha="left",
va="center",
rotation=0,
fontsize=10,
)
if self.percentage:
seg_scores = self._calc_error_score()
_zones_sub = [[] for _ in range(8)]
edges = list(np.arange(0, 4.5, 0.5))
for x in range(len(edges) - 1):
_zones_sub[x] = np.array(
seg_scores[(seg_scores >= edges[x]) & (seg_scores < edges[x + 1])]
)
perc_zones = [(len(x) / len(seg_scores)) * 100 for x in _zones_sub]
for i, x in enumerate(perc_zones):
cbar.ax.plot(
[0, 5], [(i * 0.5) + 0.5] * 2, "--", color="grey", lw=1, alpha=0.6
)
if x > 0:
if round(x, 2) == 0:
_str = "<0.01%"
else:
_str = "{:.2f}%".format(x)
cbar.ax.text(
2, (i * 0.5) + 0.25, _str, ha="center", va="center", fontsize=9
)
ax.scatter(
self.reference * n,
self.test * n,
marker="o",
edgecolors="black",
facecolors="white",
alpha=0.8,
s=8,
**self.point_kws
)
# limits and ticks
_ticks = [0, 90, 180, 270, 360, 450, 540]
ax.set_xticks([round(x, 1) for x in _ticks])
ax.set_yticks([round(x, 1) for x in _ticks])
ax.set_xticklabels([round(x / n, 1) for x in _ticks])
ax.set_yticklabels([round(x / n, 1) for x in _ticks])
ax.set_xlim(0, maxX)
ax.set_ylim(0, maxY)
# graph labels
ax.set_ylabel(self.y_title)
ax.set_xlabel(self.x_title)
if self.graph_title is not None:
ax.set_title(self.graph_title)
def seg(
reference,
test,
units,
x_label=None,
y_label=None,
title=None,
xlim=None,
ylim=None,
percentage=False,
point_kws=None,
square=False,
ax=None,
):
"""Provide a glucose error grid analyses as designed by the surveillance error grid.
This is an Axis-level function which will draw the surveillance error grid plot.
onto the current active Axis object unless ``ax`` is provided.
Parameters
----------
reference, test : array, or list
Glucose values obtained from the reference and predicted methods,
preferably provided in a np.array.
units : str
The SI units which the glucose values are provided in.
Options: 'mmol', 'mgdl' or 'mg/dl'.
x_label : str, optional
The label which is added to the X-axis. If None is provided, a standard
label will be added.
y_label : str, optional
The label which is added to the Y-axis. If None is provided, a standard
label will be added.
title : str, optional
Title of the plot. If None is provided, no title will be plotted.
xlim : list, optional
Minimum and maximum limits for X-axis. Should be provided as list or tuple.
If not set, matplotlib will decide its own bounds.
ylim : list, optional
Minimum and maximum limits for Y-axis. Should be provided as list or tuple.
If not set, matplotlib will decide its own bounds.
percentage : bool, optional
If True, percentage of the zones will be depicted in the plot.
point_kws : dict of key, value mappings, optional
Additional keyword arguments for `plt.scatter`.
square : bool, optional
If True, set the Axes aspect to "equal" so each cell will be square-shaped.
ax : matplotlib Axes, optional
Axes in which to draw the plot, otherwise use the currently-active
Axes.
Returns
-------
ax : matplotlib Axes
Axes object with the Surveillance error grid plot.
References
---------
[klonoff_2014] Klonoff, D. C., Lias, C., et al.
J Diabetes Sci Technol, vol. 8, no. 4, 2014, pp 658-672.
[kovatchev_2014] Kovatchev, B. P., Wakeman, C. A., et al.
J Diabetes Sci Technol, vol 8, no. 4, 2014, pp. 673-684.
"""
plotter: _SEG = _SEG(
reference,
test,
units,
x_label,
y_label,
title,
xlim,
ylim,
percentage,
point_kws,
)
# Draw the plot and return the Axes
if ax is None:
ax = plt.gca()
if square:
ax.set_aspect("equal")
plotter.plot(ax)
return ax
def segscores(reference, test, units):
"""Provides the raw error values as depicted by the
surveillance error grid analysis for each point in the reference and test datasets.
Parameters
----------
reference, test : array, or list
Glucose values obtained from the reference and predicted methods,
preferably provided in a np.array.
units : str
The SI units which the glucose values are provided in.
Options: 'mmol', 'mgdl' or 'mg/dl'.
Returns
-------
segscores : list
Returns a list with a SEG score for each test, reference pair.
"""
# obtain zones from a Clarke reference object
_zones = _SEG(
reference, test, units, None, None, None, None, None, None, None
)._calc_error_score()
return _zones
| 31.816353 | 88 | 0.435824 | 5,598 | 49,029 | 3.737049 | 0.088424 | 0.009751 | 0.003824 | 0.008031 | 0.798327 | 0.764245 | 0.745363 | 0.736185 | 0.722562 | 0.719073 | 0 | 0.074261 | 0.453711 | 49,029 | 1,540 | 89 | 31.837013 | 0.706765 | 0.227151 | 0 | 0.602955 | 0 | 0 | 0.039132 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024007 | false | 0 | 0.009234 | 0.00277 | 0.051708 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c510ca6258cb286ace269aa178de380bd82b0c0f | 87 | py | Python | dyno/debug/__init__.py | mequanta/z-dyno | 4ea296b710fcb1a87918644b8d8303e740490714 | [
"MIT"
] | null | null | null | dyno/debug/__init__.py | mequanta/z-dyno | 4ea296b710fcb1a87918644b8d8303e740490714 | [
"MIT"
] | null | null | null | dyno/debug/__init__.py | mequanta/z-dyno | 4ea296b710fcb1a87918644b8d8303e740490714 | [
"MIT"
] | null | null | null | #from . handlers import DebugHandler
from .qdbclientserver import DynoQdbClientServer
| 21.75 | 48 | 0.850575 | 8 | 87 | 9.25 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114943 | 87 | 3 | 49 | 29 | 0.961039 | 0.402299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 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 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
c52b8d9492fbb8787f001b52ab150ed32d5cac19 | 35 | py | Python | labs/hello_world.py | MHSRoboticsCode/2015 | 410f427439d1641146329bfdd74667054a21a658 | [
"MIT"
] | null | null | null | labs/hello_world.py | MHSRoboticsCode/2015 | 410f427439d1641146329bfdd74667054a21a658 | [
"MIT"
] | null | null | null | labs/hello_world.py | MHSRoboticsCode/2015 | 410f427439d1641146329bfdd74667054a21a658 | [
"MIT"
] | null | null | null | # 2015 lab 1
print('Hello World')
| 8.75 | 20 | 0.657143 | 6 | 35 | 3.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178571 | 0.2 | 35 | 3 | 21 | 11.666667 | 0.642857 | 0.285714 | 0 | 0 | 0 | 0 | 0.478261 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
c5506b8cb8987c67ff74a2750c6086bf36fa620f | 23 | py | Python | 10_python_qa_pageobject-master/page_objects/common/Footer.py | turovod/Otus | 57433c6944bca155177b07ff361139ff30f7f692 | [
"MIT"
] | 1 | 2019-09-18T11:39:07.000Z | 2019-09-18T11:39:07.000Z | 10_python_qa_pageobject-master/page_objects/common/Footer.py | turovod/Otus | 57433c6944bca155177b07ff361139ff30f7f692 | [
"MIT"
] | null | null | null | 10_python_qa_pageobject-master/page_objects/common/Footer.py | turovod/Otus | 57433c6944bca155177b07ff361139ff30f7f692 | [
"MIT"
] | null | null | null | class Footer:
pass
| 7.666667 | 13 | 0.652174 | 3 | 23 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.304348 | 23 | 2 | 14 | 11.5 | 0.9375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
c559d4de79723f982f2482edb5011bbb83a21f40 | 148 | py | Python | deepblocks/optim/__init__.py | blurry-mood/Deep-Learning-Blocks | e81cf9270c21189a90799671d9446af449e826be | [
"MIT"
] | 3 | 2021-09-22T14:27:33.000Z | 2021-12-22T09:47:17.000Z | deepblocks/optim/__init__.py | blurry-mood/Deep-Learning-Blocks | e81cf9270c21189a90799671d9446af449e826be | [
"MIT"
] | null | null | null | deepblocks/optim/__init__.py | blurry-mood/Deep-Learning-Blocks | e81cf9270c21189a90799671d9446af449e826be | [
"MIT"
] | null | null | null | """ **Optim** implements weight optimization algorithms.
It contains:
- SAM algorithm (Sharpness-Aware Minimization).
"""
from .SAM import SAM | 21.142857 | 56 | 0.722973 | 16 | 148 | 6.6875 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155405 | 148 | 7 | 57 | 21.142857 | 0.856 | 0.797297 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 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 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
3d6a23a0b656dc9d6a6e935cbda869b644f2afea | 155 | py | Python | imageprovider/abstractimageprovider.py | freekode/wow-bot-cv | 1c3bc408cca39fae16962bc138ac3b626db03e38 | [
"MIT"
] | 1 | 2021-09-20T05:03:25.000Z | 2021-09-20T05:03:25.000Z | imageprovider/abstractimageprovider.py | freekode/wow-bot-opencv | 1c3bc408cca39fae16962bc138ac3b626db03e38 | [
"MIT"
] | null | null | null | imageprovider/abstractimageprovider.py | freekode/wow-bot-opencv | 1c3bc408cca39fae16962bc138ac3b626db03e38 | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
class AbstractImageProvider(ABC):
@abstractmethod
def get_image_numpy_array(self, coordinates):
pass
| 19.375 | 49 | 0.748387 | 17 | 155 | 6.647059 | 0.823529 | 0.300885 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.193548 | 155 | 7 | 50 | 22.142857 | 0.904 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0.2 | 0.2 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
3d89247fd32c1c9be7841752f6345ca208ffe2fe | 170 | py | Python | templates/dynamic_import.py | nexssp/language_python | f4cc09752e56a6f53f5854c78a0de30038cc8c58 | [
"MIT"
] | 2 | 2019-12-19T10:35:58.000Z | 2020-01-15T19:52:32.000Z | templates/dynamic_import.py | nexssp/language_python | f4cc09752e56a6f53f5854c78a0de30038cc8c58 | [
"MIT"
] | null | null | null | templates/dynamic_import.py | nexssp/language_python | f4cc09752e56a6f53f5854c78a0de30038cc8c58 | [
"MIT"
] | null | null | null | import importlib
name = 'test_module'
# method 1
module = importlib.import_module('test_module')
# method 2
module = __import__(name, fromlist=[''])
module.some_func()
| 17 | 47 | 0.741176 | 22 | 170 | 5.363636 | 0.5 | 0.169492 | 0.271186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013423 | 0.123529 | 170 | 9 | 48 | 18.888889 | 0.778523 | 0.1 | 0 | 0 | 0 | 0 | 0.146667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
3dae0f7ca44913a8988167c7f49a91666bb48b27 | 188 | py | Python | docker/test/integration/minifi/validators/SegfaultValidator.py | dtrodrigues/nifi-minifi-cpp | 87147e2dffcda6cc6e4e0510a57cc88011fda37f | [
"Apache-2.0",
"OpenSSL"
] | 113 | 2016-04-30T15:00:13.000Z | 2022-03-26T20:42:58.000Z | docker/test/integration/minifi/validators/SegfaultValidator.py | dtrodrigues/nifi-minifi-cpp | 87147e2dffcda6cc6e4e0510a57cc88011fda37f | [
"Apache-2.0",
"OpenSSL"
] | 688 | 2016-04-28T17:52:38.000Z | 2022-03-29T07:58:05.000Z | docker/test/integration/minifi/validators/SegfaultValidator.py | dtrodrigues/nifi-minifi-cpp | 87147e2dffcda6cc6e4e0510a57cc88011fda37f | [
"Apache-2.0",
"OpenSSL"
] | 104 | 2016-04-28T15:20:51.000Z | 2022-03-01T13:39:20.000Z | from .OutputValidator import OutputValidator
class SegfaultValidator(OutputValidator):
"""
Validate that a file was received.
"""
def validate(self):
return True
| 18.8 | 44 | 0.691489 | 18 | 188 | 7.222222 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.234043 | 188 | 9 | 45 | 20.888889 | 0.902778 | 0.180851 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
3db5fa2cbe6449696d6758d1c09bd1497ff3d0df | 36 | py | Python | microservices/auth/run.py | boggda/test_forum | a0331cf5ff28b3a2a3d8e4c06facf496b9ea66a8 | [
"MIT"
] | null | null | null | microservices/auth/run.py | boggda/test_forum | a0331cf5ff28b3a2a3d8e4c06facf496b9ea66a8 | [
"MIT"
] | null | null | null | microservices/auth/run.py | boggda/test_forum | a0331cf5ff28b3a2a3d8e4c06facf496b9ea66a8 | [
"MIT"
] | null | null | null | from src import auth
auth.run()
| 9 | 21 | 0.666667 | 6 | 36 | 4 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 36 | 3 | 22 | 12 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
3dbfd87f534174b07122e0050f270722f14b56bd | 216 | py | Python | Syntages/Scripts/test_api.py | iliya-dehsarvi/Syntages | 9a1be978b7dfdbc76d55ad500892184cfa03dd15 | [
"MIT"
] | 1 | 2021-08-22T04:58:58.000Z | 2021-08-22T04:58:58.000Z | Syntages/Scripts/test_api.py | iliya-dehsarvi/Syntages | 9a1be978b7dfdbc76d55ad500892184cfa03dd15 | [
"MIT"
] | null | null | null | Syntages/Scripts/test_api.py | iliya-dehsarvi/Syntages | 9a1be978b7dfdbc76d55ad500892184cfa03dd15 | [
"MIT"
] | null | null | null | import requests, json
response = requests.get('https://www.thecocktaildb.com/api/json/v1/1/filter.php?i=Gin')
#print(len(json.loads(response.text)['drinks']))
print(json.dumps(json.loads(response.text), indent=3))
| 30.857143 | 87 | 0.74537 | 34 | 216 | 4.735294 | 0.705882 | 0.111801 | 0.21118 | 0.26087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014634 | 0.050926 | 216 | 6 | 88 | 36 | 0.770732 | 0.217593 | 0 | 0 | 0 | 0.333333 | 0.357143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 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 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
9a795f250eead14c5b408f59114c5296e9f6ce71 | 186 | py | Python | PyDarkLogic/MainDarkLogic/action.py | BlackWalker01/BlackLogic | 5f49956a0d4ee7a10c35e006d340ba58ca692078 | [
"MIT"
] | 6 | 2020-04-21T22:25:02.000Z | 2021-03-05T17:44:24.000Z | PyDarkLogic/MainDarkLogic/action.py | BlackWalker01/BlackLogic | 5f49956a0d4ee7a10c35e006d340ba58ca692078 | [
"MIT"
] | 1 | 2020-08-04T22:35:39.000Z | 2020-08-09T12:40:46.000Z | PyDarkLogic/MainDarkLogic/action.py | BlackWalker01/BlackLogic | 5f49956a0d4ee7a10c35e006d340ba58ca692078 | [
"MIT"
] | null | null | null | class Action:
def __init__(self, fun, id=None):
self._fun = fun
self._id = id
def fun(self):
return self._fun
def id(self):
return self._id
| 16.909091 | 37 | 0.543011 | 26 | 186 | 3.576923 | 0.346154 | 0.225806 | 0.301075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.354839 | 186 | 10 | 38 | 18.6 | 0.775 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0 | 0 | 0.25 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 |
9aa767cd35d485c2409ced5f4c8702527f87f49f | 265 | py | Python | core/models/__init__.py | samlowe106/Saved-Sorter-For-Reddit | 470f3621ae8c4ece7d6eda9de5f1270be6b2e848 | [
"MIT"
] | 1 | 2019-08-01T07:29:37.000Z | 2019-08-01T07:29:37.000Z | core/models/__init__.py | samlowe106/saved-sorter-for-reddit | 470f3621ae8c4ece7d6eda9de5f1270be6b2e848 | [
"MIT"
] | 2 | 2019-08-08T22:08:12.000Z | 2019-09-15T05:49:35.000Z | core/models/__init__.py | samlowe106/saved-sorter-for-reddit | 470f3621ae8c4ece7d6eda9de5f1270be6b2e848 | [
"MIT"
] | null | null | null | from .parsers import IParser, ImgurParser, SingleImageParser, FlickrParser, GfycatParser, PARSERS
from ..utils.strings import *
from .submission_wrapper import SubmissionWrapper
from ..utils.urls import *
from .submission_source import SubmissionSource, SortOption
| 44.166667 | 97 | 0.837736 | 28 | 265 | 7.857143 | 0.607143 | 0.081818 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.098113 | 265 | 5 | 98 | 53 | 0.920502 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
9aafde42512d57976f472fe8b49ad1143001dc34 | 1,515 | py | Python | google-logo.py | RaviTeja-12/redesigned-chainsaw | b523f2f3d7a186b7cdc23b0163d1aa6cf6e43152 | [
"MIT"
] | null | null | null | google-logo.py | RaviTeja-12/redesigned-chainsaw | b523f2f3d7a186b7cdc23b0163d1aa6cf6e43152 | [
"MIT"
] | null | null | null | google-logo.py | RaviTeja-12/redesigned-chainsaw | b523f2f3d7a186b7cdc23b0163d1aa6cf6e43152 | [
"MIT"
] | null | null | null | import turtle
turtle.speed(100)
turtle.bgcolor('black')
turtle.width(3)
turtle.color('#4285F4', '#4285F4')
turtle.forward(120)
turtle.right(90)
turtle.circle(-150, 50)
turtle.color('#39A853')
turtle.circle(-150, 100)
turtle.color('#FBBC05')
turtle.circle(-150, 60)
turtle.color('#EA4335', '#EA4335')
turtle.begin_fill()
turtle.circle(-150, 100)
turtle.right(90)
turtle.forward(50)
turtle.right(90)
turtle.circle(100, 100)
turtle.right(90)
turtle.fd(50)
turtle.end_fill()
turtle.color('#FBBC05')
turtle.begin_fill()
turtle.right(180)
turtle.fd(50)
turtle.right(90)
turtle.circle(100, 60)
turtle.right(90)
turtle.fd(50)
turtle.right(90)
turtle.circle(-150, 60)
turtle.end_fill()
turtle.right(90)
turtle.fd(50)
turtle.right(90)
turtle.circle(100, 60)
turtle.right(90)
turtle.fd(50)
turtle.color('#39A853')
turtle.begin_fill()
turtle.right(180)
turtle.fd(50)
turtle.right(90)
turtle.circle(100, 100)
turtle.right(90)
turtle.fd(50)
turtle.right(90)
turtle.circle(-150, 100)
turtle.end_fill()
turtle.right(90)
turtle.fd(50)
turtle.right(90)
turtle.circle(100, 100)
turtle.right(90)
turtle.fd(50)
turtle.color('#4285F4')
turtle.begin_fill()
turtle.right(180)
turtle.fd(50)
turtle.right(90)
turtle.circle(100, 25)
turtle.left(115)
turtle.forward(60)
turtle.right(90)
turtle.fd(50)
turtle.right(90)
turtle.fd(120)
turtle.right(90)
turtle.circle(-160, 50)
turtle.end_fill()
turtle.hideturtle()
turtle.penup()
turtle.goto(-15, 20)
turtle.pendown()
turtle.color('gold')
turtle.pensize(10)
turtle.write("Ravitej")
turtle.done()
| 18.9375 | 34 | 0.744554 | 248 | 1,515 | 4.516129 | 0.169355 | 0.225893 | 0.232143 | 0.339286 | 0.735714 | 0.601786 | 0.549107 | 0.549107 | 0.540179 | 0.540179 | 0 | 0.142354 | 0.063366 | 1,515 | 79 | 35 | 19.177215 | 0.646934 | 0 | 0 | 0.708861 | 0 | 0 | 0.052145 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.012658 | 0 | 0.012658 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 5 |
9ac8181da0fc8f034520d1d888ba60f0422a78d2 | 65 | py | Python | sigmoid.py | rigovides/multiclass-logistic-regression | 6c42de52b922e755188bc5977d891c0cada07145 | [
"Apache-2.0"
] | 2 | 2018-02-18T08:03:45.000Z | 2019-10-17T10:26:39.000Z | sigmoid.py | rigovides/multiclass-logistic-regression | 6c42de52b922e755188bc5977d891c0cada07145 | [
"Apache-2.0"
] | null | null | null | sigmoid.py | rigovides/multiclass-logistic-regression | 6c42de52b922e755188bc5977d891c0cada07145 | [
"Apache-2.0"
] | 2 | 2020-03-30T10:40:06.000Z | 2020-11-13T18:59:40.000Z | import numpy as np
def sigmoid(z):
return 1/(1 + np.exp(-z)) | 16.25 | 29 | 0.615385 | 13 | 65 | 3.076923 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039216 | 0.215385 | 65 | 4 | 29 | 16.25 | 0.745098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 5 |
b124af0dd3e3874875d5e3c1be72adab195afb71 | 183 | py | Python | lib/JumpScale/baselib/vfs/__init__.py | jumpscale7/jumpscale_core7 | c3115656214cab1bd32f7a1e092c0bffc84a00cd | [
"Apache-2.0"
] | null | null | null | lib/JumpScale/baselib/vfs/__init__.py | jumpscale7/jumpscale_core7 | c3115656214cab1bd32f7a1e092c0bffc84a00cd | [
"Apache-2.0"
] | 4 | 2016-08-25T12:08:39.000Z | 2018-04-12T12:36:01.000Z | lib/JumpScale/baselib/vfs/__init__.py | jumpscale7/jumpscale_core7 | c3115656214cab1bd32f7a1e092c0bffc84a00cd | [
"Apache-2.0"
] | 3 | 2016-03-08T07:49:34.000Z | 2018-10-19T13:56:43.000Z | from JumpScale import j
def cb():
from .BackupFactory import BackupFactory
return BackupFactory
j.base.loader.makeAvailable(j, 'clients')
j.clients._register('backup', cb)
| 18.3 | 44 | 0.748634 | 23 | 183 | 5.913043 | 0.608696 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147541 | 183 | 9 | 45 | 20.333333 | 0.871795 | 0 | 0 | 0 | 0 | 0 | 0.071038 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b1460b9aed9553215b3175d18a603bd6e646153b | 450 | py | Python | reversion/compat.py | sperrygrove/django-reversion | de5862a60e8fcfc9c14634dd51e004a0420a50b5 | [
"BSD-3-Clause"
] | 1 | 2017-10-31T02:37:37.000Z | 2017-10-31T02:37:37.000Z | reversion/compat.py | sperrygrove/django-reversion | de5862a60e8fcfc9c14634dd51e004a0420a50b5 | [
"BSD-3-Clause"
] | 1 | 2017-10-31T01:56:58.000Z | 2017-10-31T01:57:03.000Z | reversion/compat.py | sperrygrove/django-reversion | de5862a60e8fcfc9c14634dd51e004a0420a50b5 | [
"BSD-3-Clause"
] | 1 | 2020-01-08T20:18:17.000Z | 2020-01-08T20:18:17.000Z | import django
def remote_field(field):
# remote_field is new in Django 1.9
return field.remote_field if hasattr(field, 'remote_field') else field.rel
def remote_model(field):
# remote_field is new in Django 1.9
return field.remote_field.model if hasattr(field, 'remote_field') else field.rel.to
def is_authenticated(user):
if django.VERSION < (1, 10):
return user.is_authenticated()
return user.is_authenticated
| 25 | 87 | 0.728889 | 69 | 450 | 4.594203 | 0.304348 | 0.242902 | 0.302839 | 0.113565 | 0.567823 | 0.567823 | 0.567823 | 0.567823 | 0.334385 | 0.334385 | 0 | 0.019074 | 0.184444 | 450 | 17 | 88 | 26.470588 | 0.844687 | 0.148889 | 0 | 0 | 0 | 0 | 0.063158 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.111111 | 0.222222 | 0.888889 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
b14db3ffe4cd76fe5d8da684f3a34ce3e9906d65 | 1,793 | py | Python | userInteraction/interfaces/IFinanceInteraction.py | tylertjburns/ledgerkeeper | cd69e9f48f35a973d08e450dfffdfea46bdc3802 | [
"MIT"
] | null | null | null | userInteraction/interfaces/IFinanceInteraction.py | tylertjburns/ledgerkeeper | cd69e9f48f35a973d08e450dfffdfea46bdc3802 | [
"MIT"
] | null | null | null | userInteraction/interfaces/IFinanceInteraction.py | tylertjburns/ledgerkeeper | cd69e9f48f35a973d08e450dfffdfea46bdc3802 | [
"MIT"
] | null | null | null | from ledgerkeeper.mongoData.account import Account
from abc import ABC, abstractmethod
class IFinanceInteraction(ABC):
# region Account UI
@abstractmethod
def request_bank_total(self):
pass
@abstractmethod
def select_account(self, statusList=None):
pass
@abstractmethod
def select_collection(self):
pass
@abstractmethod
def get_add_new_account_input(self):
pass
@abstractmethod
def get_record_expense_input(self, accountManager):
pass
@abstractmethod
def get_add_bucket_to_account_input(self):
pass
@abstractmethod
def get_move_funds_input(self, account:Account):
pass
@abstractmethod
def get_add_waterfall_funds_input(self, account: Account):
pass
@abstractmethod
def get_delete_bucket_from_account_input(self, account:Account):
pass
@abstractmethod
def get_update_bucket_priority_input(self, account:Account):
pass
@abstractmethod
def get_print_full_waterfall_input(self):
pass
@abstractmethod
def get_add_open_balance_input(self):
pass
@abstractmethod
def get_delete_open_balance_input(self, account:Account):
pass
# endregion
# region Ledger UI
@abstractmethod
def get_add_ledger_manually_input(self):
pass
@abstractmethod
def get_split_transaction_input(self, currentAmount: float):
pass
@abstractmethod
def get_enter_ledger_from_income_transaction_input(self):
pass
@abstractmethod
def get_enter_ledger_from_expense_transaction_input(self):
pass
# endregion
# region Printing
@abstractmethod
def pretty_print_items(self, items, title=None):
pass
# endregion | 22.135802 | 68 | 0.697156 | 198 | 1,793 | 5.984848 | 0.267677 | 0.258228 | 0.265823 | 0.263291 | 0.478481 | 0.420253 | 0.300422 | 0.167089 | 0.087764 | 0 | 0 | 0 | 0.245957 | 1,793 | 81 | 69 | 22.135802 | 0.876479 | 0.044618 | 0 | 0.631579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | false | 0.315789 | 0.035088 | 0 | 0.368421 | 0.035088 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
b16b9232e173ae480558d2b4807a8fe301de5813 | 35 | py | Python | apimock/__main__.py | MrUPGrade/api-mock | cffac2edd12e8191957458b6c5fc33f824a6454d | [
"MIT"
] | 2 | 2018-03-10T16:01:58.000Z | 2018-03-12T15:51:29.000Z | apimock/__main__.py | MrUPGrade/api-mock | cffac2edd12e8191957458b6c5fc33f824a6454d | [
"MIT"
] | null | null | null | apimock/__main__.py | MrUPGrade/api-mock | cffac2edd12e8191957458b6c5fc33f824a6454d | [
"MIT"
] | null | null | null | from apimock.cli import cli
cli()
| 8.75 | 27 | 0.742857 | 6 | 35 | 4.333333 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171429 | 35 | 3 | 28 | 11.666667 | 0.896552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
b17e36bd545dabd1896c29203d9587e9f75a3646 | 32 | py | Python | gincco/methods/__init__.py | paulmorio/gincco | faffab019d8d64b32428ab1c956641c3f72ec43b | [
"MIT"
] | 7 | 2021-01-14T10:15:25.000Z | 2021-01-21T17:38:02.000Z | gincco/methods/__init__.py | paulmorio/gincco | faffab019d8d64b32428ab1c956641c3f72ec43b | [
"MIT"
] | null | null | null | gincco/methods/__init__.py | paulmorio/gincco | faffab019d8d64b32428ab1c956641c3f72ec43b | [
"MIT"
] | null | null | null | # pcomplexnet.methods init file
| 16 | 31 | 0.8125 | 4 | 32 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 32 | 1 | 32 | 32 | 0.928571 | 0.90625 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
4908bb47f5dec05de4d30ae59457343e7a0ef287 | 319 | py | Python | wagtail/admin/models.py | wlcrs/wagtail | 8afbc6c3eccef9eb0f09ed56c54cd36779451882 | [
"BSD-3-Clause"
] | 3 | 2019-05-14T13:43:08.000Z | 2021-11-09T11:27:18.000Z | wagtail/admin/models.py | denza/wagtail | 3939397850f2c73d3f960cea5cc9c2cfae2d005d | [
"BSD-3-Clause"
] | 163 | 2019-06-14T20:45:06.000Z | 2022-03-23T01:41:07.000Z | wagtail/admin/models.py | denza/wagtail | 3939397850f2c73d3f960cea5cc9c2cfae2d005d | [
"BSD-3-Clause"
] | 1 | 2021-05-11T00:05:26.000Z | 2021-05-11T00:05:26.000Z | # The edit_handlers module extends Page with some additional attributes required by
# wagtailadmin (namely, base_form_class and get_edit_handler). Importing this within
# wagtailadmin.models ensures that this happens in advance of running wagtailadmin's
# system checks.
from wagtail.admin import edit_handlers # NOQA
| 53.166667 | 84 | 0.827586 | 45 | 319 | 5.733333 | 0.866667 | 0.093023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131661 | 319 | 5 | 85 | 63.8 | 0.931408 | 0.836991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
494bfc701dcefb39304a1ef297f6e9ce6cdb2445 | 122 | py | Python | umu-python/app/service/tosca/vo/tgif/service.py | suomitek/cubeai | cc4c0f5f445a552d239910da63944307c1f06e37 | [
"Apache-2.0"
] | null | null | null | umu-python/app/service/tosca/vo/tgif/service.py | suomitek/cubeai | cc4c0f5f445a552d239910da63944307c1f06e37 | [
"Apache-2.0"
] | null | null | null | umu-python/app/service/tosca/vo/tgif/service.py | suomitek/cubeai | cc4c0f5f445a552d239910da63944307c1f06e37 | [
"Apache-2.0"
] | null | null | null | class Service(dict):
def __init__(self, calls, provides):
dict.__init__(self, calls=calls, provides=provides)
| 30.5 | 59 | 0.704918 | 15 | 122 | 5.2 | 0.533333 | 0.205128 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.172131 | 122 | 3 | 60 | 40.666667 | 0.772277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
494fd6c9f9fb7d924ec2eb0656241c426b7285e0 | 22 | py | Python | gamepie-ios/__init__.py | JadedTuna/gamepie | d49ba3597457bca0b43eb8fc5218683c5e6eef59 | [
"Zlib"
] | 4 | 2017-04-23T20:47:53.000Z | 2021-05-09T07:08:58.000Z | gamepie-pc/__init__.py | JadedTuna/gamepie | d49ba3597457bca0b43eb8fc5218683c5e6eef59 | [
"Zlib"
] | null | null | null | gamepie-pc/__init__.py | JadedTuna/gamepie | d49ba3597457bca0b43eb8fc5218683c5e6eef59 | [
"Zlib"
] | 1 | 2015-05-19T18:58:45.000Z | 2015-05-19T18:58:45.000Z | from gamepie import *
| 11 | 21 | 0.772727 | 3 | 22 | 5.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 22 | 1 | 22 | 22 | 0.944444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
4961852565595c73c2fbd84c4a1bc313d48ba141 | 120 | py | Python | stores/apps/users/admin.py | diassor/CollectorCity-Market-Place | 892ad220b8cf1c0fc7433f625213fe61729522b2 | [
"Apache-2.0"
] | 135 | 2015-03-19T13:28:18.000Z | 2022-03-27T06:41:42.000Z | stores/apps/users/admin.py | dfcoding/CollectorCity-Market-Place | e59acec3d600c049323397b17cae14fdcaaaec07 | [
"Apache-2.0"
] | null | null | null | stores/apps/users/admin.py | dfcoding/CollectorCity-Market-Place | e59acec3d600c049323397b17cae14fdcaaaec07 | [
"Apache-2.0"
] | 83 | 2015-01-30T01:00:15.000Z | 2022-03-08T17:25:10.000Z | from models import *
from django.contrib import admin
admin.site.register(Profile)
admin.site.register(EmailVerify)
| 13.333333 | 32 | 0.8 | 16 | 120 | 6 | 0.625 | 0.1875 | 0.354167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116667 | 120 | 8 | 33 | 15 | 0.90566 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
4988ed34f3a4ff086f5d3bb23424b3785acc8ad6 | 23 | py | Python | ohno/test/error.py | AnkitmB125/ohno | 1d3e10e50fb782c6270e5b28fc582641e2e4be69 | [
"MIT"
] | 1 | 2020-07-30T02:02:41.000Z | 2020-07-30T02:02:41.000Z | ohno/test/error.py | AnkitmB125/ohno | 1d3e10e50fb782c6270e5b28fc582641e2e4be69 | [
"MIT"
] | 1 | 2021-12-13T19:54:39.000Z | 2021-12-13T19:54:39.000Z | ohno/test/error.py | AnkitmB125/ohno | 1d3e10e50fb782c6270e5b28fc582641e2e4be69 | [
"MIT"
] | null | null | null | print("hello")
printf() | 11.5 | 14 | 0.695652 | 3 | 23 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 23 | 2 | 15 | 11.5 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
498a1de37eb73f6405e6cb9e83f72a07d1297a1a | 23 | py | Python | itamar.py | itamar-marom/test-repo | 443e105eabc889577e35f6f640b234a5e790f2e9 | [
"Apache-2.0"
] | null | null | null | itamar.py | itamar-marom/test-repo | 443e105eabc889577e35f6f640b234a5e790f2e9 | [
"Apache-2.0"
] | null | null | null | itamar.py | itamar-marom/test-repo | 443e105eabc889577e35f6f640b234a5e790f2e9 | [
"Apache-2.0"
] | null | null | null | print("Fuck ypu bitch") | 23 | 23 | 0.73913 | 4 | 23 | 4.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.086957 | 23 | 1 | 23 | 23 | 0.809524 | 0 | 0 | 0 | 0 | 0 | 0.583333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
b8c5e3b080bad351c6f864457369590f3a3c79f4 | 131 | py | Python | ENCODN/TOOLS/COMMUNICATION/TELECOM/DECABIT/DECABIT_FRAME.py | akshitadixit/ENCODN | 7b4ecaba10314f9f59f53e9b479016b21f8b632b | [
"RSA-MD"
] | 6 | 2020-10-07T13:09:38.000Z | 2021-01-16T17:16:51.000Z | ENCODN/TOOLS/COMMUNICATION/TELECOM/DECABIT/DECABIT_FRAME.py | akshitadixit/ENCODN | 7b4ecaba10314f9f59f53e9b479016b21f8b632b | [
"RSA-MD"
] | 27 | 2020-10-09T09:14:23.000Z | 2021-01-22T07:16:43.000Z | ENCODN/TOOLS/COMMUNICATION/TELECOM/DECABIT/DECABIT_FRAME.py | DSC-IIIT-Kalyani/ENCODN | 62752ac7e368b294ec9613a1f73cb3f1f7c878f5 | [
"RSA-MD"
] | 14 | 2020-10-07T14:25:59.000Z | 2021-02-21T16:54:37.000Z | from tkinter import *
from tkinter import ttk
def DECABIT_FRAME(master=None):
s = ttk.Style(master)
s.theme_use('awdark') | 18.714286 | 32 | 0.717557 | 20 | 131 | 4.6 | 0.7 | 0.23913 | 0.369565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175573 | 131 | 7 | 33 | 18.714286 | 0.851852 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.6 | 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 | 0 | 0 | 0 | 0 | 5 |
b8ff86d0789f2985d30122efe69b5d32bf3538f8 | 399 | py | Python | myclang/ops.py | FindDefinition/myclang | 3fa641f3b4fa87e0d3b1d840288e61442293036a | [
"Apache-2.0"
] | null | null | null | myclang/ops.py | FindDefinition/myclang | 3fa641f3b4fa87e0d3b1d840288e61442293036a | [
"Apache-2.0"
] | null | null | null | myclang/ops.py | FindDefinition/myclang | 3fa641f3b4fa87e0d3b1d840288e61442293036a | [
"Apache-2.0"
] | null | null | null | from .betterenums import NodeKind
from . import constants
def nkind_is_decl(nkind: NodeKind):
K = nkind.value
return ((K >= constants.CXCURSOR_FIRST_DECL and K <= constants.CXCURSOR_LAST_DECL) or
(K >= constants.CXCURSOR_FIRST_EXTRA_DECL and K <= constants.CXCURSOR_LAST_EXTRA_DECL) or
(K >= constants.CXCURSOREX_FIRST_DECL and K <= constants.CXCURSOREX_LAST_DECL))
| 44.333333 | 101 | 0.736842 | 54 | 399 | 5.148148 | 0.351852 | 0.215827 | 0.258993 | 0.183453 | 0.305755 | 0.208633 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177945 | 399 | 8 | 102 | 49.875 | 0.847561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
77323fb43d713d868d1f0935b5bac69129a4a303 | 36 | py | Python | doodad/easy_sweep/__init__.py | charlesjsun/doodad | eb30cfc668054ab84f58536eb777a1a56258030a | [
"MIT"
] | 36 | 2021-10-29T21:23:11.000Z | 2022-03-30T15:38:13.000Z | doodad/easy_sweep/__init__.py | charlesjsun/doodad | eb30cfc668054ab84f58536eb777a1a56258030a | [
"MIT"
] | 1 | 2020-03-11T14:41:43.000Z | 2020-03-11T14:41:43.000Z | doodad/easy_sweep/__init__.py | charlesjsun/doodad | eb30cfc668054ab84f58536eb777a1a56258030a | [
"MIT"
] | 10 | 2018-06-25T21:07:14.000Z | 2021-07-19T18:46:17.000Z | from .launcher import DoodadSweeper
| 18 | 35 | 0.861111 | 4 | 36 | 7.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 36 | 1 | 36 | 36 | 0.96875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
77406e31c24d484db632a16a9756fc569723c96f | 549 | py | Python | digihel/wagtail_hooks.py | HotStew/digihel | 3a53f6542b41c64c818fa34cc0709cdbfb8055db | [
"MIT"
] | 21 | 2016-08-22T10:15:24.000Z | 2022-03-23T08:10:48.000Z | digihel/wagtail_hooks.py | HotStew/digihel | 3a53f6542b41c64c818fa34cc0709cdbfb8055db | [
"MIT"
] | 101 | 2016-08-08T07:52:44.000Z | 2021-06-17T20:18:59.000Z | digihel/wagtail_hooks.py | HotStew/digihel | 3a53f6542b41c64c818fa34cc0709cdbfb8055db | [
"MIT"
] | 16 | 2016-08-02T11:45:26.000Z | 2021-02-18T11:27:34.000Z | from wagtail.core import hooks
def allow_blindly(tag):
return tag
# See: http://docs.wagtail.io/en/v1.6/reference/hooks.html#construct-whitelister-element-rules
@hooks.register('construct_whitelister_element_rules')
def whitelister_element_rules():
rules = {}
# Tables
rules.update(dict.fromkeys(['table', 'thead', 'tbody', 'tfoot', 'tr', 'th', 'td'], allow_blindly))
# Divs, spans, code and anchors
rules.update(dict.fromkeys(['div', 'span', 'a', 'code', 'pre', 'blockquote', 'section'], allow_blindly))
return rules
| 34.3125 | 108 | 0.692168 | 71 | 549 | 5.239437 | 0.647887 | 0.096774 | 0.185484 | 0.172043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004211 | 0.134791 | 549 | 15 | 109 | 36.6 | 0.778947 | 0.233151 | 0 | 0 | 0 | 0 | 0.223558 | 0.084135 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0.111111 | 0.555556 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
7749960b1542d05ab18427eede88f6061266cdc9 | 945 | py | Python | feature_raster/Transformers/CommonIndex.py | hectorpatino/feature_raster | 34ec69e0e9fbfc697865f76d1c97627ba338bf7e | [
"BSD-3-Clause"
] | null | null | null | feature_raster/Transformers/CommonIndex.py | hectorpatino/feature_raster | 34ec69e0e9fbfc697865f76d1c97627ba338bf7e | [
"BSD-3-Clause"
] | null | null | null | feature_raster/Transformers/CommonIndex.py | hectorpatino/feature_raster | 34ec69e0e9fbfc697865f76d1c97627ba338bf7e | [
"BSD-3-Clause"
] | null | null | null | from sklearn.base import BaseEstimator, TransformerMixin
import numpy as np
# to avoid the warning o generating a RuntimeWarning
np.seterr(divide='ignore', invalid='ignore')
def normalize_difference_indexes_minus_plus(band_1, band_2):
""" Uses the general formula of all normalize difference indexes
where the numerator is a substraction and the denominator is and
adition
Parameters
__________
band_1: numpy array
band_2: numpy array
"""
numerator = np.subtract(band_2, band_1, dtype=np.float64)
denominator = np.add(band_1, band_2, dtype=np.float64)
index = np.where(band_2 + band_1 == 0.,
0.,
numerator / denominator)
return index
class CommonIndex(BaseEstimator, TransformerMixin):
def __init__(self):
pass
def fit(self):
return self
def transform(self, x):
# TODO x must be a dataframe
return x
| 24.230769 | 68 | 0.669841 | 122 | 945 | 4.959016 | 0.516393 | 0.041322 | 0.08595 | 0.033058 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022825 | 0.258201 | 945 | 38 | 69 | 24.868421 | 0.840228 | 0.291005 | 0 | 0 | 0 | 0 | 0.019078 | 0 | 0 | 0 | 0 | 0.026316 | 0 | 1 | 0.235294 | false | 0.058824 | 0.117647 | 0.117647 | 0.588235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 5 |
774a16b7b5f3c4aec1573eae8d74b13eda1fff2f | 2,519 | py | Python | src/bpp/models/sloty/wydawnictwo_ciagle.py | iplweb/django-bpp | 85f183a99d8d5027ae4772efac1e4a9f21675849 | [
"BSD-3-Clause"
] | 1 | 2017-04-27T19:50:02.000Z | 2017-04-27T19:50:02.000Z | src/bpp/models/sloty/wydawnictwo_ciagle.py | mpasternak/django-bpp | 434338821d5ad1aaee598f6327151aba0af66f5e | [
"BSD-3-Clause"
] | 41 | 2019-11-07T00:07:02.000Z | 2022-02-27T22:09:39.000Z | src/bpp/models/sloty/wydawnictwo_ciagle.py | iplweb/bpp | f027415cc3faf1ca79082bf7bacd4be35b1a6fdf | [
"BSD-3-Clause"
] | null | null | null | from decimal import Decimal
from .common import SlotMixin
class SlotKalkulator_Wydawnictwo_Ciagle_Prog1(SlotMixin):
"""
Artykuł z czasopisma z listy ministerialnej.
Dla roku 2017, 2018: punkty KBN >= 30
"""
def punkty_pkd(self, dyscyplina):
if self.ma_dyscypline(dyscyplina):
return self.original.punkty_kbn
def slot_dla_autora_z_dyscypliny(self, dyscyplina):
azd = len(self.autorzy_z_dyscypliny(dyscyplina))
if azd == 0:
return
return Decimal("1") / azd
def slot_dla_dyscypliny(self, dyscyplina):
if self.ma_dyscypline(dyscyplina):
return Decimal("1")
class SlotKalkulator_Wydawnictwo_Ciagle_Prog2(SlotMixin):
"""
Artykuł z czasopisma z listy ministerialnej.
Dla roku 2017-2018: punkty KBN 20 lub 25
"""
def punkty_pkd(self, dyscyplina):
if self.ma_dyscypline(dyscyplina):
pierwiastek = self.pierwiastek_k_przez_m(dyscyplina)
if pierwiastek is None:
return None
if self.liczba_k(dyscyplina) == 0:
return 0
return self.original.punkty_kbn * max(pierwiastek, Decimal("0.1"))
def slot_dla_autora_z_dyscypliny(self, dyscyplina):
if not self.ma_dyscypline(dyscyplina):
return
azd = len(self.autorzy_z_dyscypliny(dyscyplina))
if azd > 0:
return self.pierwiastek_k_przez_m(dyscyplina) * 1 / azd
def slot_dla_dyscypliny(self, dyscyplina):
if not self.ma_dyscypline(dyscyplina):
return
return self.pierwiastek_k_przez_m(dyscyplina)
class SlotKalkulator_Wydawnictwo_Ciagle_Prog3(SlotMixin):
"""
Artykuł z czasopisma z listy ministerialnej.
Dla roku 2017-2018: punkty KBN poniżej 20 lub 5
"""
def punkty_pkd(self, dyscyplina):
if self.ma_dyscypline(dyscyplina):
k_przez_m = self.k_przez_m(dyscyplina)
if k_przez_m is None:
return
if self.liczba_k(dyscyplina) == 0:
return 0
return self.original.punkty_kbn * max(k_przez_m, Decimal("0.1"))
def slot_dla_autora_z_dyscypliny(self, dyscyplina):
if not self.ma_dyscypline(dyscyplina):
return
return self.jeden_przez_wszyscy()
def slot_dla_dyscypliny(self, dyscyplina):
if not self.ma_dyscypline(dyscyplina):
return
return self.jeden_przez_wszyscy() * len(self.autorzy_z_dyscypliny(dyscyplina))
| 29.635294 | 86 | 0.651052 | 306 | 2,519 | 5.130719 | 0.186275 | 0.09172 | 0.081529 | 0.132484 | 0.80828 | 0.781529 | 0.738854 | 0.700637 | 0.650318 | 0.622293 | 0 | 0.026645 | 0.269948 | 2,519 | 84 | 87 | 29.988095 | 0.82708 | 0.104407 | 0 | 0.58 | 0 | 0 | 0.00364 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.18 | false | 0 | 0.04 | 0 | 0.56 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
62169a70f059f8e0e971691fd019e05875a5b347 | 104 | py | Python | backend/application/user/__init__.py | vitor-kato/ACMEVita-API | f2efee5e40649e450ca9d845990b93098a61efd5 | [
"MIT"
] | null | null | null | backend/application/user/__init__.py | vitor-kato/ACMEVita-API | f2efee5e40649e450ca9d845990b93098a61efd5 | [
"MIT"
] | null | null | null | backend/application/user/__init__.py | vitor-kato/ACMEVita-API | f2efee5e40649e450ca9d845990b93098a61efd5 | [
"MIT"
] | null | null | null | from flask import Blueprint
from . import auth, models, schemas
user_bp = Blueprint("user", __name__)
| 17.333333 | 37 | 0.759615 | 14 | 104 | 5.285714 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 104 | 5 | 38 | 20.8 | 0.840909 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0.666667 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 5 |
621cc1f44ff166a433a055b86fc047762448e52f | 64 | py | Python | pyfilter/filters/__init__.py | merz9b/pyfilter | 437e3fa872595df7bbde67b641770fbeaf825e7a | [
"MIT"
] | null | null | null | pyfilter/filters/__init__.py | merz9b/pyfilter | 437e3fa872595df7bbde67b641770fbeaf825e7a | [
"MIT"
] | null | null | null | pyfilter/filters/__init__.py | merz9b/pyfilter | 437e3fa872595df7bbde67b641770fbeaf825e7a | [
"MIT"
] | null | null | null | from .apf import APF
from .sisr import SISR
from .ukf import UKF | 21.333333 | 22 | 0.78125 | 12 | 64 | 4.166667 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171875 | 64 | 3 | 23 | 21.333333 | 0.943396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 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 | 5 |
62285dfb085f3214e69786d5ad21f72b805805b4 | 9,918 | py | Python | DQM/EcalMonitorClient/python/TimingClient_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | DQM/EcalMonitorClient/python/TimingClient_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | DQM/EcalMonitorClient/python/TimingClient_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
from DQM.EcalMonitorTasks.TimingTask_cfi import ecalTimingTask
from DQM.EcalMonitorClient.IntegrityClient_cfi import ecalIntegrityClient
minChannelEntries = 1
minTowerEntries = 3
toleranceMean = 2.
toleranceRMS = 6.
minChannelEntriesFwd = 8
minTowerEntriesFwd = 24
toleranceMeanFwd = 6.
toleranceRMSFwd = 12.
tailPopulThreshold = 0.4
timeWindow = 25.
ecalTimingClient = cms.untracked.PSet(
params = cms.untracked.PSet(
minChannelEntries = cms.untracked.int32(minChannelEntries),
minTowerEntries = cms.untracked.int32(minTowerEntries),
toleranceMean = cms.untracked.double(toleranceMean),
toleranceRMS = cms.untracked.double(toleranceRMS),
minChannelEntriesFwd = cms.untracked.int32(minChannelEntriesFwd),
minTowerEntriesFwd = cms.untracked.int32(minTowerEntriesFwd),
toleranceMeanFwd = cms.untracked.double(toleranceMeanFwd),
toleranceRMSFwd = cms.untracked.double(toleranceRMSFwd),
tailPopulThreshold = cms.untracked.double(tailPopulThreshold)
),
sources = cms.untracked.PSet(
TimeAllMap = ecalTimingTask.MEs.TimeAllMap,
TimeMap = ecalTimingTask.MEs.TimeMap,
TimeMapByLS = ecalTimingTask.MEs.TimeMapByLS,
ChStatus = ecalIntegrityClient.MEs.ChStatus
),
MEs = cms.untracked.PSet(
RMSAll = cms.untracked.PSet(
path = cms.untracked.string('%(subdet)s/%(prefix)sSummaryClient/%(prefix)sTMT%(suffix)s timing rms 1D summary'),
kind = cms.untracked.string('TH1F'),
otype = cms.untracked.string('Ecal3P'),
xaxis = cms.untracked.PSet(
high = cms.untracked.double(10.0),
nbins = cms.untracked.int32(100),
low = cms.untracked.double(0.0),
title = cms.untracked.string('time (ns)')
),
btype = cms.untracked.string('User'),
description = cms.untracked.string('Distribution of per-channel timing RMS. Channels with entries less than ' + str(minChannelEntries) + ' are not considered.')
),
ProjEta = cms.untracked.PSet(
path = cms.untracked.string('%(subdet)s/%(prefix)sTimingClient/%(prefix)sTMT timing projection eta%(suffix)s'),
kind = cms.untracked.string('TProfile'),
yaxis = cms.untracked.PSet(
title = cms.untracked.string('time (ns)')
),
otype = cms.untracked.string('Ecal3P'),
btype = cms.untracked.string('ProjEta'),
description = cms.untracked.string('Projection of per-channel mean timing. Channels with entries less than ' + str(minChannelEntries) + ' are not considered.')
),
FwdBkwdDiff = cms.untracked.PSet(
path = cms.untracked.string('%(subdet)s/%(prefix)sTimingTask/%(prefix)sTMT timing %(prefix)s+ - %(prefix)s-'),
kind = cms.untracked.string('TH1F'),
otype = cms.untracked.string('Ecal2P'),
xaxis = cms.untracked.PSet(
high = cms.untracked.double(5.0),
nbins = cms.untracked.int32(100),
low = cms.untracked.double(-5.0),
title = cms.untracked.string('time (ns)')
),
btype = cms.untracked.string('User'),
description = cms.untracked.string('Forward-backward asymmetry of per-channel mean timing. Channels with entries less than ' + str(minChannelEntries) + ' are not considered.')
),
FwdvBkwd = cms.untracked.PSet(
kind = cms.untracked.string('TH2F'),
yaxis = cms.untracked.PSet(
high = cms.untracked.double(timeWindow),
nbins = cms.untracked.int32(50),
low = cms.untracked.double(-timeWindow),
title = cms.untracked.string('time (ns)')
),
otype = cms.untracked.string('Ecal2P'),
xaxis = cms.untracked.PSet(
high = cms.untracked.double(timeWindow),
nbins = cms.untracked.int32(50),
low = cms.untracked.double(-timeWindow)
),
btype = cms.untracked.string('User'),
path = cms.untracked.string('%(subdet)s/%(prefix)sTimingTask/%(prefix)sTMT timing %(prefix)s+ vs %(prefix)s-'),
description = cms.untracked.string('Forward-backward correlation of per-channel mean timing. Channels with entries less than ' + str(minChannelEntries) + ' are not considered.')
),
ProjPhi = cms.untracked.PSet(
path = cms.untracked.string('%(subdet)s/%(prefix)sTimingClient/%(prefix)sTMT timing projection phi%(suffix)s'),
kind = cms.untracked.string('TProfile'),
yaxis = cms.untracked.PSet(
title = cms.untracked.string('time (ns)')
),
otype = cms.untracked.string('Ecal3P'),
btype = cms.untracked.string('ProjPhi'),
description = cms.untracked.string('Projection of per-channel mean timing. Channels with entries less than ' + str(minChannelEntries) + ' are not considered.')
),
MeanSM = cms.untracked.PSet(
kind = cms.untracked.string('TH1F'),
yaxis = cms.untracked.PSet(
title = cms.untracked.string('time (ns)')
),
otype = cms.untracked.string('SM'),
xaxis = cms.untracked.PSet(
high = cms.untracked.double(timeWindow),
nbins = cms.untracked.int32(100),
low = cms.untracked.double(-timeWindow)
),
btype = cms.untracked.string('User'),
path = cms.untracked.string('%(subdet)s/%(prefix)sTimingClient/%(prefix)sTMT timing mean %(sm)s'),
description = cms.untracked.string('Distribution of per-channel timing mean. Channels with entries less than ' + str(minChannelEntries) + ' are not considered.')
),
RMSMap = cms.untracked.PSet(
path = cms.untracked.string('%(subdet)s/%(prefix)sTimingClient/%(prefix)sTMT timing rms %(sm)s'),
kind = cms.untracked.string('TH2F'),
zaxis = cms.untracked.PSet(
title = cms.untracked.string('rms (ns)')
),
otype = cms.untracked.string('SM'),
btype = cms.untracked.string('Crystal'),
description = cms.untracked.string('2D distribution of per-channel timing RMS. Channels with entries less than ' + str(minChannelEntries) + ' are not considered.')
),
QualitySummary = cms.untracked.PSet(
path = cms.untracked.string('%(subdet)s/%(prefix)sSummaryClient/%(prefix)sTMT%(suffix)s timing quality summary'),
kind = cms.untracked.string('TH2F'),
otype = cms.untracked.string('Ecal3P'),
btype = cms.untracked.string('SuperCrystal'),
description = cms.untracked.string('Summary of the timing data quality. A 5x5 tower is red if the mean timing of the tower is off by more than ' + str(toleranceMean) + ' or RMS is greater than ' + str(toleranceRMS) + ' (' + str(toleranceMeanFwd) + ' and ' + str(toleranceRMSFwd) + ' in forward region). Towers with total entries less than ' + str(minTowerEntries) + ' are not subject to this evaluation. Since 5x5 tower timings are calculated with a tighter time-window than per-channel timings, a tower can additionally become red if its the sum of per-channel timing histogram entries is greater than per-tower histogram entries by factor ' + str(1. / (1. - tailPopulThreshold)) + ' (significant fraction of events fall outside the tight time-window).')
),
Quality = cms.untracked.PSet(
path = cms.untracked.string('%(subdet)s/%(prefix)sTimingClient/%(prefix)sTMT timing quality %(sm)s'),
kind = cms.untracked.string('TH2F'),
otype = cms.untracked.string('SM'),
btype = cms.untracked.string('Crystal'),
description = cms.untracked.string('Summary of the timing data quality. A channel is red if its mean timing is off by more than ' + str(toleranceMean) + ' or RMS is greater than ' + str(toleranceRMS) + '. Channels with entries less than ' + str(minChannelEntries) + ' are not considered.')
),
MeanAll = cms.untracked.PSet(
path = cms.untracked.string('%(subdet)s/%(prefix)sSummaryClient/%(prefix)sTMT%(suffix)s timing mean 1D summary'),
kind = cms.untracked.string('TH1F'),
otype = cms.untracked.string('Ecal3P'),
xaxis = cms.untracked.PSet(
high = cms.untracked.double(timeWindow),
nbins = cms.untracked.int32(100),
low = cms.untracked.double(-timeWindow),
title = cms.untracked.string('time (ns)')
),
btype = cms.untracked.string('User'),
description = cms.untracked.string('Distribution of per-channel timing mean. Channels with entries less than ' + str(minChannelEntries) + ' are not considered.')
),
TrendMean = cms.untracked.PSet(
path = cms.untracked.string('Ecal/Trends/TimingClient %(prefix)s timing mean'),
kind = cms.untracked.string('TProfile'),
otype = cms.untracked.string('Ecal2P'),
btype = cms.untracked.string('Trend'),
description = cms.untracked.string('Trend of timing mean. Plots simple average of all channel timing means at each lumisection.')
),
TrendRMS = cms.untracked.PSet(
path = cms.untracked.string('Ecal/Trends/TimingClient %(prefix)s timing rms'),
kind = cms.untracked.string('TProfile'),
otype = cms.untracked.string('Ecal2P'),
btype = cms.untracked.string('Trend'),
description = cms.untracked.string('Trend of timing rms. Plots simple average of all channel timing rms at each lumisection.')
)
)
)
| 58.686391 | 767 | 0.622908 | 1,057 | 9,918 | 5.842952 | 0.164617 | 0.235104 | 0.198187 | 0.042746 | 0.716483 | 0.713245 | 0.703044 | 0.667584 | 0.667584 | 0.646535 | 0 | 0.011499 | 0.254688 | 9,918 | 168 | 768 | 59.035714 | 0.823999 | 0 | 0 | 0.54878 | 0 | 0.02439 | 0.279621 | 0.055158 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.018293 | 0 | 0.018293 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 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 | 5 |
626011d769f714ac15156f7d57ed0fbeb8351c10 | 13,011 | py | Python | system/t12_api/snapshots.py | masselstine/aptly | 3d2ccf1b2a02ea45eb0fa4fa7180b1809cb4590d | [
"MIT"
] | 1 | 2021-09-13T02:34:59.000Z | 2021-09-13T02:34:59.000Z | system/t12_api/snapshots.py | masselstine/aptly | 3d2ccf1b2a02ea45eb0fa4fa7180b1809cb4590d | [
"MIT"
] | 6 | 2021-06-23T08:40:02.000Z | 2021-11-02T09:12:51.000Z | system/t12_api/snapshots.py | masselstine/aptly | 3d2ccf1b2a02ea45eb0fa4fa7180b1809cb4590d | [
"MIT"
] | 3 | 2020-10-12T21:25:57.000Z | 2021-11-28T17:23:24.000Z | from api_lib import APITest
from publish import DefaultSigningOptions
class SnapshotsAPITestCreateShowEmpty(APITest):
"""
GET /api/snapshots/:name, POST /api/snapshots, GET /api/snapshots/:name/packages
"""
def check(self):
snapshot_name = self.random_name()
snapshot_desc = {u'Description': u'fun snapshot',
u'Name': snapshot_name}
# create empty snapshot
resp = self.post_task("/api/snapshots", json=snapshot_desc)
self.check_equal(resp.json()['State'], 2)
self.check_subset(snapshot_desc, self.get("/api/snapshots/" + snapshot_name).json())
self.check_equal(self.get("/api/snapshots/" + snapshot_name).status_code, 200)
resp = self.get("/api/snapshots/" + snapshot_name + "/packages")
self.check_equal(resp.status_code, 200)
self.check_equal(resp.json(), [])
self.check_equal(self.get("/api/snapshots/" + self.random_name()).status_code, 404)
# create snapshot with duplicate name
resp = self.post_task("/api/snapshots", json=snapshot_desc)
self.check_equal(resp.json()['State'], 3)
class SnapshotsAPITestCreateFromRefs(APITest):
"""
GET /api/snapshots/:name, POST /api/snapshots, GET /api/snapshots/:name/packages,
GET /api/snapshots
"""
def check(self):
snapshot_name = self.random_name()
snapshot_desc = {u'Description': u'fun snapshot',
u'Name': snapshot_name,
u'SourceSnapshots': [self.random_name()]}
# creating snapshot from missing source snapshot
resp = self.post("/api/snapshots", json=snapshot_desc)
self.check_equal(resp.status_code, 404)
# create empty snapshot
empty_snapshot_name = self.random_name()
resp = self.post_task("/api/snapshots", json={"Name": empty_snapshot_name})
self.check_equal(resp.json()['State'], 2)
self.check_equal(
self.get("/api/snapshots/" + empty_snapshot_name).json()['Description'], "Created as empty"
)
# create and upload package to repo to register package in DB
repo_name = self.random_name()
self.check_equal(self.post("/api/repos", json={"Name": repo_name}).status_code, 201)
d = self.random_name()
self.check_equal(self.upload("/api/files/" + d,
"libboost-program-options-dev_1.49.0.1_i386.deb").status_code, 200)
self.check_equal(self.post_task("/api/repos/" + repo_name + "/file/" + d).json()['State'], 2)
# create snapshot with empty snapshot as source and package
snapshot = snapshot_desc.copy()
snapshot['PackageRefs'] = ["Pi386 libboost-program-options-dev 1.49.0.1 918d2f433384e378"]
snapshot['SourceSnapshots'] = [empty_snapshot_name]
resp = self.post_task("/api/snapshots", json=snapshot)
self.check_equal(resp.json()['State'], 2)
snapshot.pop('SourceSnapshots')
snapshot.pop('PackageRefs')
resp = self.get("/api/snapshots/" + snapshot_name)
self.check_equal(resp.status_code, 200)
self.check_subset(snapshot, resp.json())
self.check_subset(snapshot, self.get("/api/snapshots/" + snapshot_name).json())
resp = self.get("/api/snapshots/" + snapshot_name + "/packages")
self.check_equal(resp.status_code, 200)
self.check_equal(resp.json(), ["Pi386 libboost-program-options-dev 1.49.0.1 918d2f433384e378"])
# create snapshot with unreferenced package
resp = self.post_task("/api/snapshots", json={
"Name": self.random_name(),
"PackageRefs": ["Pi386 libboost-program-options-dev 1.49.0.1 918d2f433384e378", "Pamd64 no-such-package 1.2 91"]})
self.check_equal(resp.json()['State'], 3)
# list snapshots
resp = self.get("/api/snapshots", params={"sort": "time"})
self.check_equal(resp.status_code, 200)
self.check_equal([s["Name"] for s in resp.json() if s["Name"] in [empty_snapshot_name, snapshot_name]],
[empty_snapshot_name, snapshot_name])
class SnapshotsAPITestCreateFromRepo(APITest):
"""
POST /api/repos, POST /api/repos/:name/snapshots, GET /api/snapshots/:name
"""
def check(self):
repo_name = self.random_name()
snapshot_name = self.random_name()
self.check_equal(self.post("/api/repos", json={"Name": repo_name}).status_code, 201)
resp = self.post_task("/api/repos/" + repo_name + '/snapshots', json={'Name': snapshot_name})
self.check_equal(resp.json()['State'], 2)
self.check_equal([],
self.get("/api/snapshots/" + snapshot_name + "/packages", params={"format": "details"}).json())
snapshot_name = self.random_name()
d = self.random_name()
self.check_equal(self.upload("/api/files/" + d,
"libboost-program-options-dev_1.49.0.1_i386.deb").status_code, 200)
self.check_equal(self.post_task("/api/repos/" + repo_name + "/file/" + d).json()['State'], 2)
resp = self.post_task("/api/repos/" + repo_name + '/snapshots', json={'Name': snapshot_name})
self.check_equal(resp.json()['State'], 2)
self.check_equal(self.get("/api/snapshots/" + snapshot_name).status_code, 200)
self.check_subset({u'Architecture': 'i386',
u'Package': 'libboost-program-options-dev',
u'Version': '1.49.0.1',
'FilesHash': '918d2f433384e378'},
self.get("/api/snapshots/" + snapshot_name + "/packages", params={"format": "details"}).json()[0])
self.check_subset({u'Architecture': 'i386',
u'Package': 'libboost-program-options-dev',
u'Version': '1.49.0.1',
'FilesHash': '918d2f433384e378'},
self.get("/api/snapshots/" + snapshot_name + "/packages",
params={"format": "details", "q": "Version (> 0.6.1-1.4)"}).json()[0])
# duplicate snapshot name
resp = self.post_task("/api/repos/" + repo_name + '/snapshots', json={'Name': snapshot_name})
self.check_equal(resp.json()['State'], 3)
class SnapshotsAPITestCreateUpdate(APITest):
"""
POST /api/snapshots, PUT /api/snapshots/:name, GET /api/snapshots/:name
"""
def check(self):
snapshot_name = self.random_name()
snapshot_desc = {u'Description': u'fun snapshot',
u'Name': snapshot_name}
resp = self.post_task("/api/snapshots", json=snapshot_desc)
self.check_equal(resp.json()['State'], 2)
new_snapshot_name = self.random_name()
resp = self.put_task("/api/snapshots/" + snapshot_name, json={'Name': new_snapshot_name,
'Description': 'New description'})
self.check_equal(resp.json()['State'], 2)
resp = self.get("/api/snapshots/" + new_snapshot_name)
self.check_equal(resp.status_code, 200)
self.check_subset({"Name": new_snapshot_name,
"Description": "New description"}, resp.json())
# duplicate name
resp = self.put_task("/api/snapshots/" + new_snapshot_name, json={'Name': new_snapshot_name,
'Description': 'New description'})
self.check_equal(resp.json()['State'], 3)
# missing snapshot
resp = self.put("/api/snapshots/" + snapshot_name, json={})
self.check_equal(resp.status_code, 404)
class SnapshotsAPITestCreateDelete(APITest):
"""
POST /api/snapshots, DELETE /api/snapshots/:name, GET /api/snapshots/:name
"""
def check(self):
snapshot_name = self.random_name()
snapshot_desc = {u'Description': u'fun snapshot',
u'Name': snapshot_name}
# deleting unreferenced snapshot
resp = self.post_task("/api/snapshots", json=snapshot_desc)
self.check_equal(resp.json()['State'], 2)
self.check_equal(self.delete_task("/api/snapshots/" + snapshot_name).json()['State'], 2)
self.check_equal(self.get("/api/snapshots/" + snapshot_name).status_code, 404)
# deleting referenced snapshot
snap1, snap2 = self.random_name(), self.random_name()
self.check_equal(self.post_task("/api/snapshots", json={"Name": snap1}).json()['State'], 2)
self.check_equal(
self.post_task(
"/api/snapshots", json={"Name": snap2, "SourceSnapshots": [snap1]}
).json()['State'], 2
)
self.check_equal(self.delete_task("/api/snapshots/" + snap1).json()['State'], 3)
self.check_equal(self.get("/api/snapshots/" + snap1).status_code, 200)
self.check_equal(self.delete_task("/api/snapshots/" + snap1, params={"force": "1"}).json()['State'], 2)
self.check_equal(self.get("/api/snapshots/" + snap1).status_code, 404)
# deleting published snapshot
resp = self.post_task(
"/api/publish",
json={
"SourceKind": "snapshot",
"Distribution": "trusty",
"Architectures": ["i386"],
"Sources": [{"Name": snap2}],
"Signing": DefaultSigningOptions,
}
)
self.check_equal(resp.json()['State'], 2)
self.check_equal(self.delete_task("/api/snapshots/" + snap2).json()['State'], 3)
self.check_equal(self.delete_task("/api/snapshots/" + snap2, params={"force": "1"}).json()['State'], 3)
class SnapshotsAPITestSearch(APITest):
"""
POST /api/snapshots, GET /api/snapshots?sort=name, GET /api/snapshots/:name
"""
def check(self):
repo_name = self.random_name()
self.check_equal(self.post("/api/repos", json={"Name": repo_name}).status_code, 201)
d = self.random_name()
snapshot_name = self.random_name()
self.check_equal(self.upload("/api/files/" + d,
"libboost-program-options-dev_1.49.0.1_i386.deb").status_code, 200)
self.check_equal(self.post_task("/api/repos/" + repo_name + "/file/" + d).json()['State'], 2)
resp = self.post_task("/api/repos/" + repo_name + '/snapshots', json={'Name': snapshot_name})
self.check_equal(resp.json()['State'], 2)
resp = self.get("/api/snapshots/" + snapshot_name + "/packages",
params={"q": "libboost-program-options-dev", "format": "details"})
self.check_equal(resp.status_code, 200)
self.check_equal(len(resp.json()), 1)
self.check_equal(resp.json()[0]["Package"], "libboost-program-options-dev")
resp = self.get("/api/snapshots/" + snapshot_name + "/packages")
self.check_equal(resp.status_code, 200)
self.check_equal(len(resp.json()), 1)
self.check_equal(resp.json(), ["Pi386 libboost-program-options-dev 1.49.0.1 918d2f433384e378"])
class SnapshotsAPITestDiff(APITest):
"""
GET /api/snapshot/:name/diff/:name2
"""
def check(self):
repos = [self.random_name() for x in xrange(2)]
snapshots = [self.random_name() for x in xrange(2)]
for repo_name in repos:
self.check_equal(self.post("/api/repos", json={"Name": repo_name}).status_code, 201)
d = self.random_name()
self.check_equal(self.upload("/api/files/" + d,
"libboost-program-options-dev_1.49.0.1_i386.deb").status_code, 200)
self.check_equal(self.post_task("/api/repos/" + repo_name + "/file/" + d).json()['State'], 2)
resp = self.post_task("/api/repos/" + repo_name + '/snapshots', json={'Name': snapshots[0]})
self.check_equal(resp.json()['State'], 2)
resp = self.post_task("/api/snapshots", json={'Name': snapshots[1]})
self.check_equal(resp.json()['State'], 2)
resp = self.get("/api/snapshots/" + snapshots[0] + "/diff/" + snapshots[1])
self.check_equal(resp.status_code, 200)
self.check_equal(resp.json(), [{'Left': 'Pi386 libboost-program-options-dev 1.49.0.1 918d2f433384e378',
'Right': None}])
resp = self.get("/api/snapshots/" + snapshots[1] + "/diff/" + snapshots[0])
self.check_equal(resp.status_code, 200)
self.check_equal(resp.json(), [{'Right': 'Pi386 libboost-program-options-dev 1.49.0.1 918d2f433384e378',
'Left': None}])
resp = self.get("/api/snapshots/" + snapshots[0] + "/diff/" + snapshots[0])
self.check_equal(resp.status_code, 200)
self.check_equal(resp.json(), [])
resp = self.get("/api/snapshots/" + snapshots[1] + "/diff/" + snapshots[1])
self.check_equal(resp.status_code, 200)
self.check_equal(resp.json(), [])
| 45.020761 | 126 | 0.595342 | 1,546 | 13,011 | 4.852523 | 0.078266 | 0.087577 | 0.125033 | 0.088776 | 0.808851 | 0.783924 | 0.771927 | 0.72594 | 0.682885 | 0.641696 | 0 | 0.035961 | 0.243409 | 13,011 | 288 | 127 | 45.177083 | 0.726128 | 0.073937 | 0 | 0.552632 | 0 | 0 | 0.209039 | 0.038907 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036842 | false | 0 | 0.010526 | 0 | 0.084211 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
657652ec067611ea73aa46beeaa153e91e409c4d | 41 | py | Python | php_proxy/setup.py | jt6562/XX-Net | 7b78e4820a3c78c3ba3e75b3917129d17f00e9fc | [
"BSD-2-Clause"
] | 2 | 2016-01-16T16:48:22.000Z | 2016-06-09T18:22:53.000Z | php_proxy/setup.py | TDUncle/XX-Net | 24b2af60dc0abc1c26211813064bb14c1e22bac8 | [
"BSD-2-Clause"
] | null | null | null | php_proxy/setup.py | TDUncle/XX-Net | 24b2af60dc0abc1c26211813064bb14c1e22bac8 | [
"BSD-2-Clause"
] | 1 | 2016-04-01T06:25:17.000Z | 2016-04-01T06:25:17.000Z | #!/usr/bin/env python
print "setup ok!"
| 10.25 | 21 | 0.658537 | 7 | 41 | 3.857143 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.146341 | 41 | 3 | 22 | 13.666667 | 0.771429 | 0.487805 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
658d12fca0fed772ab73b1ce8a642d10d22cf5fa | 106 | py | Python | pyaltitude/team.py | sdizazzo/pyaltitude | 9789a633fe8f9093308978b1de543f5adc8070c8 | [
"MIT"
] | 1 | 2020-03-17T07:45:11.000Z | 2020-03-17T07:45:11.000Z | pyaltitude/team.py | sdizazzo/pyaltitude | 9789a633fe8f9093308978b1de543f5adc8070c8 | [
"MIT"
] | 19 | 2020-02-14T05:56:22.000Z | 2020-08-15T22:04:24.000Z | pyaltitude/team.py | sdizazzo/pyaltitude | 9789a633fe8f9093308978b1de543f5adc8070c8 | [
"MIT"
] | null | null | null | from . import base
import logging
logger = logging.getLogger(__name__)
class Team(base.Base):
pass
| 11.777778 | 36 | 0.735849 | 14 | 106 | 5.285714 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179245 | 106 | 8 | 37 | 13.25 | 0.850575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.2 | 0.4 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 5 |
0290b3345a0dec5d898c339ea76fb8ca968f317a | 177 | py | Python | src/sample/PlayerClass.py | TestowanieAutomatyczneUG/laboratorium-9-Grzeskii | ca62ee6fa6cc7514ab4d286ba908c57e12cad998 | [
"MIT"
] | null | null | null | src/sample/PlayerClass.py | TestowanieAutomatyczneUG/laboratorium-9-Grzeskii | ca62ee6fa6cc7514ab4d286ba908c57e12cad998 | [
"MIT"
] | null | null | null | src/sample/PlayerClass.py | TestowanieAutomatyczneUG/laboratorium-9-Grzeskii | ca62ee6fa6cc7514ab4d286ba908c57e12cad998 | [
"MIT"
] | null | null | null | class Player:
def getTime(self):
pass
def playWavFile(self, file):
pass
def wavWasPlayed(self):
pass
def resetWav(self):
pass | 13.615385 | 32 | 0.548023 | 19 | 177 | 5.105263 | 0.526316 | 0.247423 | 0.226804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.372881 | 177 | 13 | 33 | 13.615385 | 0.873874 | 0 | 0 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.444444 | false | 0.444444 | 0 | 0 | 0.555556 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
02b8f2b96a21ad353333ad782c4cf0aa7ae0011f | 41 | py | Python | zmqrpc/client/__init__.py | brgirgis/pyzmqrpc3 | a93339f98686e7f695f7c8a19dac198e4fc56aab | [
"MIT"
] | null | null | null | zmqrpc/client/__init__.py | brgirgis/pyzmqrpc3 | a93339f98686e7f695f7c8a19dac198e4fc56aab | [
"MIT"
] | null | null | null | zmqrpc/client/__init__.py | brgirgis/pyzmqrpc3 | a93339f98686e7f695f7c8a19dac198e4fc56aab | [
"MIT"
] | null | null | null |
from .ZmqRpcClient import ZmqRpcClient
| 10.25 | 38 | 0.829268 | 4 | 41 | 8.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.146341 | 41 | 3 | 39 | 13.666667 | 0.971429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
02e61416b7a4031058b818dfd7b7d152c7f06838 | 11,399 | py | Python | devilry/devilry_admin/tests/subject_for_period_admin/test_overview_for_periodadmin.py | devilry/devilry-django | 9ae28e462dfa4cfee966ebacbca04ade9627e715 | [
"BSD-3-Clause"
] | 29 | 2015-01-18T22:56:23.000Z | 2020-11-10T21:28:27.000Z | devilry/devilry_admin/tests/subject_for_period_admin/test_overview_for_periodadmin.py | devilry/devilry-django | 9ae28e462dfa4cfee966ebacbca04ade9627e715 | [
"BSD-3-Clause"
] | 786 | 2015-01-06T16:10:18.000Z | 2022-03-16T11:10:50.000Z | devilry/devilry_admin/tests/subject_for_period_admin/test_overview_for_periodadmin.py | devilry/devilry-django | 9ae28e462dfa4cfee966ebacbca04ade9627e715 | [
"BSD-3-Clause"
] | 15 | 2015-04-06T06:18:43.000Z | 2021-02-24T12:28:30.000Z |
from django.conf import settings
from django.test import TestCase
from cradmin_legacy import cradmin_testhelpers
from cradmin_legacy import crinstance
from model_bakery import baker
from devilry.apps.core.baker_recipes import ACTIVE_PERIOD_START, ACTIVE_PERIOD_END
from devilry.devilry_admin.views.subject_for_period_admin import overview_for_periodadmin
from devilry.utils import datetimeutils
class TestOverview(TestCase, cradmin_testhelpers.TestCaseMixin):
viewclass = overview_for_periodadmin.Overview
def test_title(self):
testsubject = baker.make('core.Subject',
short_name='testsubject')
mockresponse = self.mock_http200_getrequest_htmls(cradmin_role=testsubject)
self.assertEqual('testsubject',
mockresponse.selector.one('title').alltext_normalized)
def test_h1(self):
testsubject = baker.make('core.Subject',
long_name='Test Subject')
mockresponse = self.mock_http200_getrequest_htmls(cradmin_role=testsubject)
self.assertEqual('Test Subject',
mockresponse.selector.one('h1').alltext_normalized)
def test_period_list_one_period_where_user_is_period_admin(self):
testperiod = baker.make('core.Period', long_name='Test period')
periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod)
testuser = baker.make(settings.AUTH_USER_MODEL)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup.permissiongroup)
mockresponse = self.mock_http200_getrequest_htmls(
cradmin_role=testperiod.parentnode,
requestuser = testuser
)
self.assertEqual('Test period',
mockresponse.selector.one(
'.cradmin-legacy-listbuilder-itemvalue-titledescription-title').alltext_normalized)
def test_period_list_should_only_see_periods_where_user_is_period_admin(self):
testperiod = baker.make('core.Period', long_name='Test period')
testperiod2 = baker.make('core.Period', long_name='Test period 2', parentnode=testperiod.parentnode)
testperiod3 = baker.make('core.Period', long_name='Test period 3', parentnode=testperiod.parentnode)
periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup',
period=testperiod)
periodpermissiongroup2 = baker.make('devilry_account.PeriodPermissionGroup',
period=testperiod2)
baker.make('devilry_account.PeriodPermissionGroup', period=testperiod3)
testuser = baker.make(settings.AUTH_USER_MODEL)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup.permissiongroup)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup2.permissiongroup)
mockresponse = self.mock_http200_getrequest_htmls(
cradmin_role=testperiod.parentnode,
requestuser=testuser
)
periodlist = [x.alltext_normalized for x in
mockresponse.selector.list('.cradmin-legacy-listbuilder-itemvalue-titledescription-title') ]
self.assertEqual(['Test period 2', 'Test period'], periodlist)
def test_periodlist_no_periods(self):
testsubject = baker.make('core.Subject')
mockresponse = self.mock_http200_getrequest_htmls(cradmin_role=testsubject)
self.assertFalse(mockresponse.selector.exists('#devilry_admin_period_overview_periodlist'))
def test_periodlist_itemrendering_name(self):
testsubject = baker.make('core.Subject')
testperiod = baker.make_recipe('devilry.apps.core.period_active',
parentnode=testsubject,
long_name='Test Period')
testuser = baker.make(settings.AUTH_USER_MODEL)
periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup.permissiongroup)
mockresponse = self.mock_http200_getrequest_htmls(cradmin_role=testsubject, requestuser=testuser)
self.assertEqual('Test Period',
mockresponse.selector.one(
'.cradmin-legacy-listbuilder-itemvalue-titledescription-title').alltext_normalized)
def test_periodlist_itemrendering_url(self):
testsubject = baker.make('core.Subject')
testperiod = baker.make_recipe('devilry.apps.core.period_active',
parentnode=testsubject,
long_name='Test Period')
testuser = baker.make(settings.AUTH_USER_MODEL)
periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup.permissiongroup)
mockresponse = self.mock_http200_getrequest_htmls(cradmin_role=testsubject, requestuser=testuser)
self.assertEqual(crinstance.reverse_cradmin_url(instanceid='devilry_admin_periodadmin',
appname='overview',
roleid=testperiod.id),
mockresponse.selector.one(
'.devilry-admin-period-overview-perioditemframe')['href'])
def test_periodlist_itemrendering_start_time(self):
testsubject = baker.make('core.Subject')
testperiod = baker.make_recipe('devilry.apps.core.period_active', parentnode=testsubject)
testuser = baker.make(settings.AUTH_USER_MODEL)
periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup',
period=testperiod)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup.permissiongroup)
with self.settings(DATETIME_FORMAT=datetimeutils.ISODATETIME_DJANGOFORMAT, USE_L10N=False):
mockresponse = self.mock_http200_getrequest_htmls(cradmin_role=testsubject, requestuser=testuser)
self.assertEqual(datetimeutils.isoformat_noseconds(ACTIVE_PERIOD_START),
mockresponse.selector.one(
'.devilry-cradmin-perioditemvalue-start-time-value').alltext_normalized)
def test_periodlist_itemrendering_end_time(self):
testsubject = baker.make('core.Subject')
testperiod = baker.make_recipe('devilry.apps.core.period_active',
parentnode=testsubject)
testuser = baker.make(settings.AUTH_USER_MODEL)
periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup.permissiongroup)
with self.settings(DATETIME_FORMAT=datetimeutils.ISODATETIME_DJANGOFORMAT, USE_L10N=False):
mockresponse = self.mock_http200_getrequest_htmls(cradmin_role=testsubject, requestuser=testuser)
self.assertEqual(datetimeutils.isoformat_noseconds(ACTIVE_PERIOD_END),
mockresponse.selector.one(
'.devilry-cradmin-perioditemvalue-end-time-value').alltext_normalized)
def test_periodlist_ordering(self):
testsubject = baker.make('core.Subject')
testperiod1 = baker.make_recipe('devilry.apps.core.period_active',
parentnode=testsubject,
long_name='Period 2')
testperiod2 = baker.make_recipe('devilry.apps.core.period_old',
parentnode=testsubject,
long_name='Period 1')
testperiod3 = baker.make_recipe('devilry.apps.core.period_future',
parentnode=testsubject,
long_name='Period 3')
testuser = baker.make(settings.AUTH_USER_MODEL)
periodpermissiongroup1 = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod1)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup1.permissiongroup)
periodpermissiongroup2 = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod2)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup2.permissiongroup)
periodpermissiongroup3 = baker.make('devilry_account.PeriodPermissionGroup', period=testperiod3)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup3.permissiongroup)
mockresponse = self.mock_http200_getrequest_htmls(cradmin_role=testsubject, requestuser=testuser)
periodnames = [
element.alltext_normalized
for element in mockresponse.selector.list(
'.cradmin-legacy-listbuilder-itemvalue-titledescription-title')]
self.assertEqual([
'Period 3',
'Period 2',
'Period 1',
], periodnames)
def test_periodlist_only_periods_in_subject(self):
testsubject = baker.make('core.Subject')
othersubject = baker.make('core.Subject')
testperiod1 = baker.make_recipe('devilry.apps.core.period_active',
parentnode=testsubject,
long_name='Testsubject Period 1')
testperiod2 = baker.make_recipe('devilry.apps.core.period_active',
parentnode=othersubject,
long_name='Othersubject Period 1')
testuser = baker.make(settings.AUTH_USER_MODEL)
periodpermissiongroup = baker.make('devilry_account.PeriodPermissionGroup',
period=testperiod1)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup.permissiongroup)
periodpermissiongroup2 = baker.make('devilry_account.PeriodPermissionGroup',
period=testperiod2)
baker.make('devilry_account.PermissionGroupUser',
user=testuser, permissiongroup=periodpermissiongroup2.permissiongroup)
mockresponse = self.mock_http200_getrequest_htmls(cradmin_role=testsubject, requestuser=testuser)
self.assertEqual(
1,
mockresponse.selector.count('.cradmin-legacy-listbuilder-itemvalue-titledescription-title')
)
self.assertEqual(
'Testsubject Period 1',
mockresponse.selector.one(
'.cradmin-legacy-listbuilder-itemvalue-titledescription-title').alltext_normalized
)
| 59.994737 | 114 | 0.662602 | 993 | 11,399 | 7.39577 | 0.119839 | 0.068627 | 0.054466 | 0.078295 | 0.806509 | 0.792211 | 0.747004 | 0.711737 | 0.652914 | 0.645833 | 0 | 0.008969 | 0.256601 | 11,399 | 189 | 115 | 60.312169 | 0.857682 | 0 | 0 | 0.543353 | 0 | 0 | 0.192946 | 0.15311 | 0 | 0 | 0 | 0 | 0.069364 | 1 | 0.063584 | false | 0 | 0.046243 | 0 | 0.121387 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
02e799ea067d5e143d4c238194f6d7c648ca2644 | 300 | py | Python | codeScanner/views.py | code-goodbuy/Goodbuy | d23363a46988f65f121a6edb75609fdddaa95cde | [
"Unlicense"
] | 2 | 2019-03-20T20:30:16.000Z | 2019-04-10T19:54:32.000Z | codeScanner/views.py | code-goodbuy/Goodbuy | d23363a46988f65f121a6edb75609fdddaa95cde | [
"Unlicense"
] | 30 | 2019-02-22T17:24:13.000Z | 2019-05-15T09:29:51.000Z | codeScanner/views.py | code-goodbuy/Goodbuy | d23363a46988f65f121a6edb75609fdddaa95cde | [
"Unlicense"
] | 1 | 2019-04-23T08:59:34.000Z | 2019-04-23T08:59:34.000Z | from django.shortcuts import render, redirect
from goodbuyDatabase.models import Product, Rating
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
@login_required
def scanCode(request):
return render(request, "codeScanner/code_scanner.html")
| 30 | 59 | 0.83 | 39 | 300 | 6.307692 | 0.615385 | 0.121951 | 0.138211 | 0.170732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 300 | 9 | 60 | 33.333333 | 0.911111 | 0 | 0 | 0 | 0 | 0 | 0.096667 | 0.096667 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.571429 | 0.142857 | 0.857143 | 0 | 0 | 0 | 0 | null | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 5 |
f3028a9d0fb0fa54b3811f303cd66978055f0330 | 569 | py | Python | py_tests/test_form_filters.py | tiesjan/url-shortener | 395ffc7b88dfe97c88914e8c4047690185b54ea7 | [
"BSD-3-Clause"
] | null | null | null | py_tests/test_form_filters.py | tiesjan/url-shortener | 395ffc7b88dfe97c88914e8c4047690185b54ea7 | [
"BSD-3-Clause"
] | null | null | null | py_tests/test_form_filters.py | tiesjan/url-shortener | 395ffc7b88dfe97c88914e8c4047690185b54ea7 | [
"BSD-3-Clause"
] | null | null | null | from url_shortener.form_filters import prepend_http, strip_value
def test_prepend_http():
assert prepend_http('example.com/') == 'http://example.com/'
assert prepend_http('http://example.com/') == 'http://example.com/'
assert prepend_http('https://example.com/') == 'https://example.com/'
assert prepend_http('') == ''
assert prepend_http(None) is None
def test_strip_value():
assert strip_value(' example ') == 'example'
assert strip_value('example') == 'example'
assert strip_value('') == ''
assert strip_value(None) is None
| 33.470588 | 73 | 0.676626 | 72 | 569 | 5.111111 | 0.25 | 0.209239 | 0.230978 | 0.1875 | 0.706522 | 0.451087 | 0.451087 | 0.451087 | 0.244565 | 0 | 0 | 0 | 0.156415 | 569 | 16 | 74 | 35.5625 | 0.766667 | 0 | 0 | 0.166667 | 0 | 0 | 0.247803 | 0 | 0 | 0 | 0 | 0 | 0.75 | 1 | 0.166667 | true | 0 | 0.083333 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
f3123157a2d0eda10419f4903afb1ef9595d14b2 | 968 | py | Python | out/python/IpfsPinningSDK/models/__init__.py | JenksyGuo/pinning-services-api-codegen | a25ba16b7fcada18953a2b097fc7c91ddb7d6baf | [
"MIT"
] | 3 | 2021-12-15T02:07:07.000Z | 2022-03-03T21:49:14.000Z | out/python/IpfsPinningSDK/models/__init__.py | JenksyGuo/pinning-services-api-codegen | a25ba16b7fcada18953a2b097fc7c91ddb7d6baf | [
"MIT"
] | null | null | null | out/python/IpfsPinningSDK/models/__init__.py | JenksyGuo/pinning-services-api-codegen | a25ba16b7fcada18953a2b097fc7c91ddb7d6baf | [
"MIT"
] | null | null | null | # flake8: noqa
# import all models into this package
# if you have many models here with many references from one model to another this may
# raise a RecursionError
# to avoid this, import only the models that you directly need like:
# from from IpfsPinningSDK.model.pet import Pet
# or import this package, but before doing it, use:
# import sys
# sys.setrecursionlimit(n)
from IpfsPinningSDK.model.delegates import Delegates
from IpfsPinningSDK.model.failure import Failure
from IpfsPinningSDK.model.failure_error import FailureError
from IpfsPinningSDK.model.origins import Origins
from IpfsPinningSDK.model.pin import Pin
from IpfsPinningSDK.model.pin_meta import PinMeta
from IpfsPinningSDK.model.pin_results import PinResults
from IpfsPinningSDK.model.pin_status import PinStatus
from IpfsPinningSDK.model.status import Status
from IpfsPinningSDK.model.status_info import StatusInfo
from IpfsPinningSDK.model.text_matching_strategy import TextMatchingStrategy
| 42.086957 | 86 | 0.841942 | 133 | 968 | 6.075188 | 0.451128 | 0.267327 | 0.341584 | 0.128713 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001167 | 0.114669 | 968 | 22 | 87 | 44 | 0.941657 | 0.366736 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b827e562e451f244de961fa747c0375c45ee865e | 235 | py | Python | RecoTauTag/RecoTau/python/CaloTauProducer_cff.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | 3 | 2018-08-24T19:10:26.000Z | 2019-02-19T11:45:32.000Z | RecoTauTag/RecoTau/python/CaloTauProducer_cff.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | 3 | 2018-08-23T13:40:24.000Z | 2019-12-05T21:16:03.000Z | RecoTauTag/RecoTau/python/CaloTauProducer_cff.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | 5 | 2018-08-21T16:37:52.000Z | 2020-01-09T13:33:17.000Z | import FWCore.ParameterSet.Config as cms
from RecoTauTag.RecoTau.CaloRecoTauTagInfoProducer_cfi import *
from RecoTauTag.RecoTau.CaloRecoTauProducer_cfi import *
CaloTau = cms.Sequence(caloRecoTauTagInfoProducer*caloRecoTauProducer)
| 33.571429 | 70 | 0.87234 | 23 | 235 | 8.826087 | 0.608696 | 0.137931 | 0.206897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07234 | 235 | 6 | 71 | 39.166667 | 0.931193 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b831fc7b7cc0ce90de0d5c6d6b2424336d379750 | 194 | py | Python | DeNardi-Tornatore/app/android/Tab_Writer/app/src/main/python/main.py | LucaLand/SistemiDigitaliM20-21 | e900327cc905d21caae72c42ec027f991b6ac2d9 | [
"MIT"
] | 9 | 2021-02-07T22:53:34.000Z | 2022-03-14T21:47:30.000Z | DeNardi-Tornatore/app/android/Tab_Writer/app/src/main/python/main.py | LucaLand/SistemiDigitaliM20-21 | e900327cc905d21caae72c42ec027f991b6ac2d9 | [
"MIT"
] | 1 | 2021-03-21T14:58:45.000Z | 2021-03-21T15:01:07.000Z | DeNardi-Tornatore/app/android/Tab_Writer/app/src/main/python/main.py | LucaLand/SistemiDigitaliM20-21 | e900327cc905d21caae72c42ec027f991b6ac2d9 | [
"MIT"
] | 18 | 2021-02-07T18:30:47.000Z | 2022-01-22T16:57:40.000Z | from preprocessing import preprocessing_file
from predict import predict_model
def main(path):
images, frames = preprocessing_file(path)
result = predict_model(images, frames)
return result | 24.25 | 44 | 0.819588 | 25 | 194 | 6.2 | 0.52 | 0.219355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123711 | 194 | 8 | 45 | 24.25 | 0.911765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b8480d33484e1e1a57331acb57822d0bf996ffda | 147 | py | Python | crestify/archivers/__init__.py | punto1/crestify | 7353979118a0a86b2431d21090444d31215d4cbb | [
"BSD-3-Clause"
] | 214 | 2016-02-26T11:51:32.000Z | 2019-08-13T01:33:03.000Z | crestify/archivers/__init__.py | punto1/crestify | 7353979118a0a86b2431d21090444d31215d4cbb | [
"BSD-3-Clause"
] | 29 | 2017-04-10T08:15:11.000Z | 2019-03-09T08:46:50.000Z | crestify/archivers/__init__.py | dhamaniasad/crestify | 7ee095d7a8ccecc902edf3fd143f7051b67ef229 | [
"BSD-3-Clause"
] | 25 | 2016-03-22T15:18:29.000Z | 2019-07-16T05:48:18.000Z | from archive_service import ArchiveService, ArchiveException
from archiveorg import ArchiveOrgService
from archivetoday import ArchiveTodayService
| 36.75 | 60 | 0.904762 | 14 | 147 | 9.428571 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088435 | 147 | 3 | 61 | 49 | 0.985075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 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 | 5 |
b8b1c7f7dd5dcf0e942be56067846668c55459c3 | 160 | py | Python | gators/encoders/tests/test_base_encoder.py | Aditya-Kapadiya/gators | d7c9967e3a8e304a601b6a92ad834d03d3e36338 | [
"Apache-2.0"
] | 4 | 2021-10-29T18:20:52.000Z | 2022-03-31T22:53:03.000Z | gators/encoders/tests/test_base_encoder.py | Aditya-Kapadiya/gators | d7c9967e3a8e304a601b6a92ad834d03d3e36338 | [
"Apache-2.0"
] | 1 | 2022-01-19T12:16:19.000Z | 2022-01-19T12:16:19.000Z | gators/encoders/tests/test_base_encoder.py | Aditya-Kapadiya/gators | d7c9967e3a8e304a601b6a92ad834d03d3e36338 | [
"Apache-2.0"
] | 5 | 2021-11-17T20:16:54.000Z | 2022-02-21T18:21:02.000Z | # License: Apache-2.0
import pytest
from gators.encoders import WOEEncoder
def test_init():
with pytest.raises(TypeError):
WOEEncoder(dtype=str)
| 16 | 38 | 0.725 | 21 | 160 | 5.47619 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015267 | 0.18125 | 160 | 9 | 39 | 17.777778 | 0.862595 | 0.11875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.4 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b8b8fea580ad11ca4c52211df15e76ce7b14906e | 849 | py | Python | test/test_billing_cycles_page_all_of.py | CiscoDevNet/python-msx-sdk | d7e0a08c656504b4f4551d263e67c671a2a04b3f | [
"MIT"
] | null | null | null | test/test_billing_cycles_page_all_of.py | CiscoDevNet/python-msx-sdk | d7e0a08c656504b4f4551d263e67c671a2a04b3f | [
"MIT"
] | null | null | null | test/test_billing_cycles_page_all_of.py | CiscoDevNet/python-msx-sdk | d7e0a08c656504b4f4551d263e67c671a2a04b3f | [
"MIT"
] | null | null | null | """
MSX SDK
MSX SDK client. # noqa: E501
The version of the OpenAPI document: 1.0.9
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import python_msx_sdk
from python_msx_sdk.model.billing_cycle import BillingCycle
globals()['BillingCycle'] = BillingCycle
from python_msx_sdk.model.billing_cycles_page_all_of import BillingCyclesPageAllOf
class TestBillingCyclesPageAllOf(unittest.TestCase):
"""BillingCyclesPageAllOf unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testBillingCyclesPageAllOf(self):
"""Test BillingCyclesPageAllOf"""
# FIXME: construct object with mandatory attributes with example values
# model = BillingCyclesPageAllOf() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| 22.342105 | 82 | 0.712603 | 94 | 849 | 6.234043 | 0.574468 | 0.051195 | 0.061433 | 0.054608 | 0.095563 | 0.095563 | 0 | 0 | 0 | 0 | 0 | 0.013333 | 0.204947 | 849 | 37 | 83 | 22.945946 | 0.854815 | 0.366313 | 0 | 0.2 | 1 | 0 | 0.039841 | 0 | 0 | 0 | 0 | 0.027027 | 0 | 1 | 0.2 | false | 0.2 | 0.333333 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 5 |
b25d688d197ea183e6f6f33beedeb735ef38a202 | 48,929 | py | Python | hashes.py | SortAnon/PonySorter | 392817c52878fff3df89b1c209b2f88ffc5cceb0 | [
"MIT"
] | 3 | 2019-11-08T01:48:44.000Z | 2021-06-20T06:40:18.000Z | hashes.py | SortAnon/PonySorter | 392817c52878fff3df89b1c209b2f88ffc5cceb0 | [
"MIT"
] | 1 | 2021-07-23T18:45:51.000Z | 2021-07-24T00:33:52.000Z | hashes.py | SortAnon/PonySorter | 392817c52878fff3df89b1c209b2f88ffc5cceb0 | [
"MIT"
] | null | null | null | friendly_names = {
"fim_s01e01": "Season 1, Episode 1",
"fim_s01e02": "Season 1, Episode 2",
"fim_s01e03": "Season 1, Episode 3",
"fim_s01e04": "Season 1, Episode 4",
"fim_s01e05": "Season 1, Episode 5",
"fim_s01e06": "Season 1, Episode 6",
"fim_s01e07": "Season 1, Episode 7",
"fim_s01e08": "Season 1, Episode 8",
"fim_s01e09": "Season 1, Episode 9",
"fim_s01e10": "Season 1, Episode 10",
"fim_s01e11": "Season 1, Episode 11",
"fim_s01e12": "Season 1, Episode 12",
"fim_s01e13": "Season 1, Episode 13",
"fim_s01e14": "Season 1, Episode 14",
"fim_s01e15": "Season 1, Episode 15",
"fim_s01e16": "Season 1, Episode 16",
"fim_s01e17": "Season 1, Episode 17",
"fim_s01e18": "Season 1, Episode 18",
"fim_s01e19": "Season 1, Episode 19",
"fim_s01e20": "Season 1, Episode 20",
"fim_s01e21": "Season 1, Episode 21",
"fim_s01e22": "Season 1, Episode 22",
"fim_s01e23": "Season 1, Episode 23",
"fim_s01e24": "Season 1, Episode 24",
"fim_s01e25": "Season 1, Episode 25",
"fim_s01e26": "Season 1, Episode 26",
"fim_s02e01": "Season 2, Episode 1",
"fim_s02e02": "Season 2, Episode 2",
"fim_s02e03": "Season 2, Episode 3",
"fim_s02e04": "Season 2, Episode 4",
"fim_s02e05": "Season 2, Episode 5",
"fim_s02e06": "Season 2, Episode 6",
"fim_s02e07": "Season 2, Episode 7",
"fim_s02e08": "Season 2, Episode 8",
"fim_s02e09": "Season 2, Episode 9",
"fim_s02e10": "Season 2, Episode 10",
"fim_s02e11": "Season 2, Episode 11",
"fim_s02e12": "Season 2, Episode 12",
"fim_s02e13": "Season 2, Episode 13",
"fim_s02e14": "Season 2, Episode 14",
"fim_s02e15": "Season 2, Episode 15",
"fim_s02e16": "Season 2, Episode 16",
"fim_s02e17": "Season 2, Episode 17",
"fim_s02e18": "Season 2, Episode 18",
"fim_s02e19": "Season 2, Episode 19",
"fim_s02e20": "Season 2, Episode 20",
"fim_s02e21": "Season 2, Episode 21",
"fim_s02e22": "Season 2, Episode 22",
"fim_s02e23": "Season 2, Episode 23",
"fim_s02e24": "Season 2, Episode 24",
"fim_s02e25": "Season 2, Episode 25",
"fim_s02e26": "Season 2, Episode 26",
"fim_s03e01": "Season 3, Episode 1",
"fim_s03e02": "Season 3, Episode 2",
"fim_s03e03": "Season 3, Episode 3",
"fim_s03e04": "Season 3, Episode 4",
"fim_s03e05": "Season 3, Episode 5",
"fim_s03e06": "Season 3, Episode 6",
"fim_s03e07": "Season 3, Episode 7",
"fim_s03e08": "Season 3, Episode 8",
"fim_s03e09": "Season 3, Episode 9",
"fim_s03e10": "Season 3, Episode 10",
"fim_s03e11": "Season 3, Episode 11",
"fim_s03e12": "Season 3, Episode 12",
"fim_s03e13": "Season 3, Episode 13",
"fim_s04e01": "Season 4, Episode 1",
"fim_s04e02": "Season 4, Episode 2",
"fim_s04e03": "Season 4, Episode 3",
"fim_s04e04": "Season 4, Episode 4",
"fim_s04e05": "Season 4, Episode 5",
"fim_s04e06": "Season 4, Episode 6",
"fim_s04e07": "Season 4, Episode 7",
"fim_s04e08": "Season 4, Episode 8",
"fim_s04e09": "Season 4, Episode 9",
"fim_s04e10": "Season 4, Episode 10",
"fim_s04e11": "Season 4, Episode 11",
"fim_s04e12": "Season 4, Episode 12",
"fim_s04e13": "Season 4, Episode 13",
"fim_s04e14": "Season 4, Episode 14",
"fim_s04e15": "Season 4, Episode 15",
"fim_s04e16": "Season 4, Episode 16",
"fim_s04e17": "Season 4, Episode 17",
"fim_s04e18": "Season 4, Episode 18",
"fim_s04e19": "Season 4, Episode 19",
"fim_s04e20": "Season 4, Episode 20",
"fim_s04e21": "Season 4, Episode 21",
"fim_s04e22": "Season 4, Episode 22",
"fim_s04e23": "Season 4, Episode 23",
"fim_s04e24": "Season 4, Episode 24",
"fim_s04e25": "Season 4, Episode 25",
"fim_s04e26": "Season 4, Episode 26",
"fim_s05e01": "Season 5, Episode 1",
"fim_s05e02": "Season 5, Episode 2",
"fim_s05e03": "Season 5, Episode 3",
"fim_s05e04": "Season 5, Episode 4",
"fim_s05e05": "Season 5, Episode 5",
"fim_s05e06": "Season 5, Episode 6",
"fim_s05e07": "Season 5, Episode 7",
"fim_s05e08": "Season 5, Episode 8",
"fim_s05e09": "Season 5, Episode 9",
"fim_s05e10": "Season 5, Episode 10",
"fim_s05e11": "Season 5, Episode 11",
"fim_s05e12": "Season 5, Episode 12",
"fim_s05e13": "Season 5, Episode 13",
"fim_s05e14": "Season 5, Episode 14",
"fim_s05e15": "Season 5, Episode 15",
"fim_s05e16": "Season 5, Episode 16",
"fim_s05e17": "Season 5, Episode 17",
"fim_s05e18": "Season 5, Episode 18",
"fim_s05e19": "Season 5, Episode 19",
"fim_s05e20": "Season 5, Episode 20",
"fim_s05e21": "Season 5, Episode 21",
"fim_s05e22": "Season 5, Episode 22",
"fim_s05e23": "Season 5, Episode 23",
"fim_s05e24": "Season 5, Episode 24",
"fim_s05e25": "Season 5, Episode 25",
"fim_s05e26": "Season 5, Episode 26",
"fim_s06e01": "Season 6, Episode 1",
"fim_s06e02": "Season 6, Episode 2",
"fim_s06e03": "Season 6, Episode 3",
"fim_s06e04": "Season 6, Episode 4",
"fim_s06e05": "Season 6, Episode 5",
"fim_s06e06": "Season 6, Episode 6",
"fim_s06e07": "Season 6, Episode 7",
"fim_s06e08": "Season 6, Episode 8",
"fim_s06e09": "Season 6, Episode 9",
"fim_s06e10": "Season 6, Episode 10",
"fim_s06e11": "Season 6, Episode 11",
"fim_s06e12": "Season 6, Episode 12",
"fim_s06e13": "Season 6, Episode 13",
"fim_s06e14": "Season 6, Episode 14",
"fim_s06e15": "Season 6, Episode 15",
"fim_s06e16": "Season 6, Episode 16",
"fim_s06e17": "Season 6, Episode 17",
"fim_s06e18": "Season 6, Episode 18",
"fim_s06e19": "Season 6, Episode 19",
"fim_s06e20": "Season 6, Episode 20",
"fim_s06e21": "Season 6, Episode 21",
"fim_s06e22": "Season 6, Episode 22",
"fim_s06e23": "Season 6, Episode 23",
"fim_s06e24": "Season 6, Episode 24",
"fim_s06e25": "Season 6, Episode 25",
"fim_s06e26": "Season 6, Episode 26",
"fim_s07e01": "Season 7, Episode 1",
"fim_s07e02": "Season 7, Episode 2",
"fim_s07e03": "Season 7, Episode 3",
"fim_s07e04": "Season 7, Episode 4",
"fim_s07e05": "Season 7, Episode 5",
"fim_s07e06": "Season 7, Episode 6",
"fim_s07e07": "Season 7, Episode 7",
"fim_s07e08": "Season 7, Episode 8",
"fim_s07e09": "Season 7, Episode 9",
"fim_s07e10": "Season 7, Episode 10",
"fim_s07e11": "Season 7, Episode 11",
"fim_s07e12": "Season 7, Episode 12",
"fim_s07e13": "Season 7, Episode 13",
"fim_s07e14": "Season 7, Episode 14",
"fim_s07e15": "Season 7, Episode 15",
"fim_s07e16": "Season 7, Episode 16",
"fim_s07e17": "Season 7, Episode 17",
"fim_s07e18": "Season 7, Episode 18",
"fim_s07e19": "Season 7, Episode 19",
"fim_s07e20": "Season 7, Episode 20",
"fim_s07e21": "Season 7, Episode 21",
"fim_s07e22": "Season 7, Episode 22",
"fim_s07e23": "Season 7, Episode 23",
"fim_s07e24": "Season 7, Episode 24",
"fim_s07e25": "Season 7, Episode 25",
"fim_s07e26": "Season 7, Episode 26",
"fim_s08e01": "Season 8, Episode 1",
"fim_s08e02": "Season 8, Episode 2",
"fim_s08e03": "Season 8, Episode 3",
"fim_s08e04": "Season 8, Episode 4",
"fim_s08e05": "Season 8, Episode 5",
"fim_s08e06": "Season 8, Episode 6",
"fim_s08e07": "Season 8, Episode 7",
"fim_s08e08": "Season 8, Episode 8",
"fim_s08e09": "Season 8, Episode 9",
"fim_s08e10": "Season 8, Episode 10",
"fim_s08e11": "Season 8, Episode 11",
"fim_s08e12": "Season 8, Episode 12",
"fim_s08e13": "Season 8, Episode 13",
"fim_s08e14": "Season 8, Episode 14",
"fim_s08e15": "Season 8, Episode 15",
"fim_s08e16": "Season 8, Episode 16",
"fim_s08e17": "Season 8, Episode 17",
"fim_s08e18": "Season 8, Episode 18",
"fim_s08e19": "Season 8, Episode 19",
"fim_s08e20": "Season 8, Episode 20",
"fim_s08e21": "Season 8, Episode 21",
"fim_s08e22": "Season 8, Episode 22",
"fim_s08e23": "Season 8, Episode 23",
"fim_s08e24": "Season 8, Episode 24",
"fim_s08e25": "Season 8, Episode 25",
"fim_s08e26": "Season 8, Episode 26",
"fim_s09e01": "Season 9, Episode 1",
"fim_s09e02": "Season 9, Episode 2",
"fim_s09e03": "Season 9, Episode 3",
"fim_s09e04": "Season 9, Episode 4",
"fim_s09e05": "Season 9, Episode 5",
"fim_s09e06": "Season 9, Episode 6",
"fim_s09e07": "Season 9, Episode 7",
"fim_s09e08": "Season 9, Episode 8",
"fim_s09e09": "Season 9, Episode 9",
"fim_s09e10": "Season 9, Episode 10",
"fim_s09e11": "Season 9, Episode 11",
"fim_s09e12": "Season 9, Episode 12",
"fim_s09e13": "Season 9, Episode 13",
"fim_s09e14": "Season 9, Episode 14",
"fim_s09e15": "Season 9, Episode 15",
"fim_s09e16": "Season 9, Episode 16",
"fim_s09e17": "Season 9, Episode 17",
"fim_s09e18": "Season 9, Episode 18",
"fim_s09e19": "Season 9, Episode 19",
"fim_s09e20": "Season 9, Episode 20",
"fim_s09e21": "Season 9, Episode 21",
# "fim_s09e22": "Season 9, Episode 22",
# "fim_s09e23": "Season 9, Episode 23",
# "fim_s09e24": "Season 9, Episode 24",
# "fim_s09e25": "Season 9, Episode 25",
# "fim_s09e26": "Season 9, Episode 26",
"eqg_original_movie": "Equestria Girls (Original)",
"eqg_friendship_games": "Equestria Girls: Friendship Games",
"eqg_legend_of_everfree": "Equestria Girls: Legend of Everfree",
"eqg_rainbow_rocks": "Equestria Girls: Rainbow Rocks",
}
original_hashes = {
"fim_s01e01": "5735ea49c43ea56109171cde2547a42cecb839cc",
"fim_s01e02": "8d61b132aaff821b0b93fbff5baf74a017b93942",
"fim_s01e03": "6c5e832dbdc91aec2159bd517a818c6aa1057613",
"fim_s01e04": "b18eb5b02993dfed9cd383e54207119ee5cb51e4",
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"eqg_friendship_games": "9619ab463a28b5498490ed1e43ff83ba247ac309",
"eqg_legend_of_everfree": "6b65399c961f71afd2dfa2189d493a412ee3300a",
"eqg_rainbow_rocks": "b5a8d331a5e6b37931282207874b334d488d562d",
}
unmix_hashes = {
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"fim_s07e21": "unknown",
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"fim_s08e21": "unknown",
"fim_s08e22": "unknown",
"fim_s08e23": "unknown",
"fim_s08e24": "unknown",
"fim_s08e25": "unknown",
"fim_s08e26": "unknown",
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"fim_s09e03": "unknown",
"fim_s09e04": "unknown",
"fim_s09e05": "unknown",
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"fim_s09e07": "unknown",
"fim_s09e08": "unknown",
"fim_s09e09": "unknown",
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"fim_s09e12": "unknown",
"fim_s09e13": "unknown",
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"fim_s09e15": "unknown",
"fim_s09e16": "unknown",
"fim_s09e17": "unknown",
"fim_s09e18": "unknown",
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"fim_s09e22": "eec65346f3f84a2200a5e5918e89d91a2a549a29",
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"fim_s09e26": "9b2d98c2eb5e336a97e49b3e35bffee39238414c",
"eqg_original_movie": "5ecf9491a5808e7b32accabdf7c57273ad197192",
"eqg_friendship_games": "31097404640cced077169c41e7cdf925ced9f165",
"eqg_legend_of_everfree": "3104471033ef47b7cd303812dfeb720bd0d63f8a",
"eqg_rainbow_rocks": "ff4e528045e846f2221229a3f38bababd5c0b733",
}
| 53.650219 | 73 | 0.76002 | 3,403 | 48,929 | 10.656186 | 0.254187 | 0.021234 | 0.010038 | 0.002096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.442937 | 0.12465 | 48,929 | 911 | 74 | 53.709111 | 0.403736 | 0.003863 | 0 | 0 | 0 | 0 | 0.777424 | 0.491813 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
b27c4b8009f6699085dcc300297438d9da4027da | 50 | py | Python | spatial_lda/__init__.py | MagdalenaMat/spatial_lda | f40c0c8c3478b4325830109ec971709a7b395ef8 | [
"MIT"
] | 12 | 2020-07-23T18:19:07.000Z | 2022-03-30T10:20:36.000Z | spatial_lda/__init__.py | MagdalenaMat/spatial_lda | f40c0c8c3478b4325830109ec971709a7b395ef8 | [
"MIT"
] | 12 | 2020-08-03T17:33:49.000Z | 2021-11-04T04:55:56.000Z | spatial_lda/__init__.py | MagdalenaMat/spatial_lda | f40c0c8c3478b4325830109ec971709a7b395ef8 | [
"MIT"
] | 4 | 2020-08-16T22:49:24.000Z | 2022-03-22T17:28:42.000Z | from .online_lda import LatentDirichletAllocation
| 25 | 49 | 0.9 | 5 | 50 | 8.8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08 | 50 | 1 | 50 | 50 | 0.956522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 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 | 5 |
b27e0fa3a4232304791498103b58fecccf406856 | 1,552 | py | Python | tests/unit/datetime_/test_datetime_.py | matthewgdv/subtypes | 52caa785f2861c6a9b867ed9b6c3756f8015689b | [
"MIT"
] | 1 | 2019-11-20T00:25:45.000Z | 2019-11-20T00:25:45.000Z | tests/unit/datetime_/test_datetime_.py | matthewgdv/subtypes | 52caa785f2861c6a9b867ed9b6c3756f8015689b | [
"MIT"
] | null | null | null | tests/unit/datetime_/test_datetime_.py | matthewgdv/subtypes | 52caa785f2861c6a9b867ed9b6c3756f8015689b | [
"MIT"
] | null | null | null | import pytest
import datetime as dt
from subtypes import DateTime
@pytest.fixture
def example_datetime():
return DateTime(1994, 3, 24, 12, 30, 15)
class TestDateTime:
def test___str__(self): # synced
assert True
def test_shift(self, example_datetime): # synced
assert example_datetime.shift(years=26, months=-2, days=-23, hours=-12, minutes=-30, seconds=-15) == DateTime(2020, 1, 1)
def test_date(self): # synced
assert True
def test_time(self): # synced
assert True
def test_to_stdlib(self): # synced
assert True
def test_to_isoformat(self, example_datetime): # synced
assert example_datetime.to_isoformat() == "1994-03-24 12:30:15"
def test_to_format(self): # synced
assert True
def test_from_datetime(self, example_datetime): # synced
assert example_datetime == DateTime.from_datetime(dt.datetime(1994, 3, 24, 12, 30, 15))
def test_from_isoformat(self): # synced
assert True
def test_from_format(self): # synced
assert True
def test_from_string(self): # synced
assert True
def test_from_parts(self): # synced
assert True
def test_infer(self): # synced
assert True
def test_TimeZone(self): # synced
assert True
def test_Hour(self): # synced
assert True
def test_Minute(self): # synced
assert True
def test_Second(self): # synced
assert True
def test_MicroSecond(self): # synced
assert True
| 23.515152 | 129 | 0.646263 | 204 | 1,552 | 4.72549 | 0.254902 | 0.130705 | 0.248963 | 0.311203 | 0.634855 | 0.634855 | 0.387967 | 0.076763 | 0 | 0 | 0 | 0.05 | 0.265464 | 1,552 | 65 | 130 | 23.876923 | 0.795614 | 0.080541 | 0 | 0.348837 | 0 | 0 | 0.013494 | 0 | 0 | 0 | 0 | 0 | 0.418605 | 1 | 0.44186 | false | 0 | 0.069767 | 0.023256 | 0.55814 | 0 | 0 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
b2892e38ab258ee62a93561d4b5665b81a9258ff | 96 | py | Python | zcore/action/__init__.py | razaibi/autocode | 765fa947d9c6a1b559fc8b7e2e40e1914455fbd4 | [
"Apache-2.0"
] | null | null | null | zcore/action/__init__.py | razaibi/autocode | 765fa947d9c6a1b559fc8b7e2e40e1914455fbd4 | [
"Apache-2.0"
] | 1 | 2021-09-20T22:14:03.000Z | 2021-09-20T22:14:03.000Z | zcore/action/__init__.py | razaibi/zaunic | 765fa947d9c6a1b559fc8b7e2e40e1914455fbd4 | [
"Apache-2.0"
] | null | null | null | from . import service
from . import generator_service
__all__ = ['service', 'generator_service'] | 32 | 42 | 0.78125 | 11 | 96 | 6.272727 | 0.454545 | 0.289855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114583 | 96 | 3 | 42 | 32 | 0.811765 | 0 | 0 | 0 | 0 | 0 | 0.247423 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b29df6facf98ea10bb030ca2a912dc7f86eae3fa | 146 | py | Python | apps/manax_theme_alpha/apps.py | manax-dojo/cashflow | 44da3596ed40d20a5b99179c4f1e016f028cdd71 | [
"BSD-3-Clause"
] | null | null | null | apps/manax_theme_alpha/apps.py | manax-dojo/cashflow | 44da3596ed40d20a5b99179c4f1e016f028cdd71 | [
"BSD-3-Clause"
] | null | null | null | apps/manax_theme_alpha/apps.py | manax-dojo/cashflow | 44da3596ed40d20a5b99179c4f1e016f028cdd71 | [
"BSD-3-Clause"
] | null | null | null | from django.apps import AppConfig
class ManaxThemeAlphaConfig(AppConfig):
name = 'manax_theme_alpha'
verbose_name = "Manax Theme Alpha"
| 20.857143 | 39 | 0.767123 | 17 | 146 | 6.411765 | 0.705882 | 0.165138 | 0.256881 | 0.348624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164384 | 146 | 6 | 40 | 24.333333 | 0.893443 | 0 | 0 | 0 | 0 | 0 | 0.232877 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
b2ade9e5017e8f6be9c8c85e95a68e413cf165d8 | 74 | py | Python | tests/test_fluprodia.py | fwitte/CoolProp.plotting | 7c844692ec61e9764202f1eadd077fd4ecc43341 | [
"MIT"
] | 8 | 2020-05-06T07:50:53.000Z | 2021-09-15T19:38:46.000Z | tests/test_fluprodia.py | fwitte/CoolProp.plotting | 7c844692ec61e9764202f1eadd077fd4ecc43341 | [
"MIT"
] | 1 | 2020-10-30T08:24:31.000Z | 2020-11-08T17:48:48.000Z | tests/test_fluprodia.py | fwitte/CoolProp.plotting | 7c844692ec61e9764202f1eadd077fd4ecc43341 | [
"MIT"
] | 1 | 2020-06-19T23:11:30.000Z | 2020-06-19T23:11:30.000Z |
# from fluprodia import FluidPropertyDiagram
def test_main():
pass
| 10.571429 | 44 | 0.743243 | 8 | 74 | 6.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.202703 | 74 | 6 | 45 | 12.333333 | 0.915254 | 0.567568 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0.5 | 0 | 0 | 0.5 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
a24b17a344c09568280fc8d1561f9e7d39fc2c54 | 5,028 | py | Python | lenstronomy/LensModel/Profiles/const_mag.py | lucateo/lenstronomy | 3ab6cfd4adea2222f02d3f0f1a9cb5390c533aab | [
"MIT"
] | 1 | 2021-06-05T15:17:39.000Z | 2021-06-05T15:17:39.000Z | lenstronomy/LensModel/Profiles/const_mag.py | lucateo/lenstronomy | 3ab6cfd4adea2222f02d3f0f1a9cb5390c533aab | [
"MIT"
] | null | null | null | lenstronomy/LensModel/Profiles/const_mag.py | lucateo/lenstronomy | 3ab6cfd4adea2222f02d3f0f1a9cb5390c533aab | [
"MIT"
] | null | null | null | __author__ = 'gipagano'
import numpy as np
import lenstronomy.Util.util as util
from lenstronomy.LensModel.Profiles.base_profile import LensProfileBase
__all__ = ['ConstMag']
class ConstMag(LensProfileBase):
"""
this class implements the macromodel potential of `Diego et al. <https://www.aanda.org/articles/aa/pdf/2019/07/aa35490-19.pdf>`_
Convergence and shear are computed according to `Diego2018 <arXiv:1706.10281v2>`_
"""
param_names = ['center_x', 'center_y','mu_r', 'mu_t', 'parity', 'phi_G']
lower_limit_default = {'center_x': -100, 'center_y': -100, 'mu_r':1, 'mu_t': 1000, 'parity': -1, 'phi_G':0.0}
upper_limit_default = {'center_x': 100, 'center_y': 100, 'mu_r':1, 'mu_t': 1000, 'parity': 1, 'phi_G':np.pi}
def function(self, x, y, mu_r, mu_t, parity, phi_G, center_x=0, center_y=0):
"""
:param x: x-coord (in angles)
:param y: y-coord (in angles)
:param mu_r: radial magnification
:param mu_t: tangential magnification
:param parity: parity side of the macromodel. Either +1 (positive parity) or -1 (negative parity)
:param phi_G: shear orientation angle (relative to the x-axis)
:return: lensing potential
"""
# positive parity case
if (parity== 1):
gamma = (1./mu_t-1./mu_r)*0.5
kappa = 1 -gamma-1./mu_r
# negative parity case
elif (parity== -1):
gamma = (1./mu_t+1./mu_r)*0.5
kappa = 1 -gamma+1./mu_r
else:
raise ValueError('%f is not a valid value for the parity of the macromodel. Choose either +1 or -1.' % parity)
# compute the shear along the x and y directions, rotate the vector in the opposite direction than the reference frame (compare with util.rotate)
gamma1, gamma2 = gamma*np.cos(2*phi_G), -gamma*np.sin(2*phi_G)
x_shift = x - center_x
y_shift = y - center_y
f_ = 1./2. * kappa * (x_shift*x_shift + y_shift*y_shift) + 1./2. * gamma1 * (x_shift*x_shift - y_shift*y_shift)-gamma2*x_shift*y_shift
return f_
def derivatives(self, x, y, mu_r, mu_t, parity, phi_G, center_x=0, center_y=0):
"""
:param x: x-coord (in angles)
:param y: y-coord (in angles)
:param mu_r: radial magnification
:param mu_t: tangential magnification
:param parity: parity of the side of the macromodel. Either +1 (positive parity) or -1 (negative parity)
:param phi_G: shear orientation angle (relative to the x-axis)
:return: deflection angle (in angles)
"""
# positive parity case
if (parity== 1):
gamma = (1./mu_t-1./mu_r)*0.5
kappa = 1 -gamma-1./mu_r
# negative parity case
elif (parity== -1):
gamma = (1./mu_t+1./mu_r)*0.5
kappa = 1 -gamma+1./mu_r
else:
raise ValueError('%f is not a valid value for the parity of the macromodel. Choose either +1 or -1.' % parity)
# compute the shear along the x and y directions, rotate the vector in the opposite direction than the reference frame (compare with util.rotate)
gamma1, gamma2 = gamma*np.cos(2*phi_G), -gamma*np.sin(2*phi_G)
x_shift = x - center_x
y_shift = y - center_y
f_x = (kappa+gamma1)*x_shift - gamma2*y_shift
f_y = (kappa-gamma1)*y_shift - gamma2*x_shift
return f_x, f_y
def hessian(self, x, y, mu_r, mu_t, parity, phi_G, center_x=0, center_y=0):
"""
:param x: x-coord (in angles)
:param y: y-coord (in angles)
:param mu_r: radial magnification
:param mu_t: tangential magnification
:param parity: parity of the side of the macromodel. Either +1 (positive parity) or -1 (negative parity)
:param phi_G: shear orientation angle (relative to the x-axis)
:return: hessian matrix (in angles)
"""
# positive parity case
if (parity== 1):
gamma = (1./mu_t-1./mu_r)*0.5
kappa = 1 -gamma-1./mu_r
# negative parity case
elif (parity== -1):
gamma = (1./mu_t+1./mu_r)*0.5
kappa = 1 -gamma+1./mu_r
else:
raise ValueError('%f is not a valid value for the parity of the macromodel. Choose either +1 or -1.' % parity)
# compute the shear along the x and y directions, rotate the vector in the opposite direction than the reference frame (compare with util.rotate)
gamma1, gamma2 = gamma*np.cos(2*phi_G), -gamma*np.sin(2*phi_G)
f_xx = kappa + gamma1
f_yy = kappa - gamma1
f_xy = -gamma2
return f_xx, f_yy, f_xy
| 42.252101 | 154 | 0.567025 | 722 | 5,028 | 3.792244 | 0.180055 | 0.02301 | 0.030679 | 0.039445 | 0.788532 | 0.777575 | 0.777575 | 0.777575 | 0.753835 | 0.753835 | 0 | 0.040588 | 0.323787 | 5,028 | 118 | 155 | 42.610169 | 0.764706 | 0.356603 | 0 | 0.596154 | 0 | 0.057692 | 0.127764 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057692 | false | 0 | 0.057692 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a28a66c0994468912f6a3f98ac6ddd3757e87fa2 | 217,268 | py | Python | pydrs.py | lnls-elp/pydrs | 7c76d596509d4293972a5c0701eae93beeee9cbe | [
"MIT"
] | null | null | null | pydrs.py | lnls-elp/pydrs | 7c76d596509d4293972a5c0701eae93beeee9cbe | [
"MIT"
] | null | null | null | pydrs.py | lnls-elp/pydrs | 7c76d596509d4293972a5c0701eae93beeee9cbe | [
"MIT"
] | 1 | 2021-04-01T18:47:13.000Z | 2021-04-01T18:47:13.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on 26/04/2016
Versão 1.0
@author: Ricieri (ELP)
Python 3.4.4
"""
"""
Reviewed on 15/10/2020
Versão 1.0 rev.A - rounded printing values to 3 decimal places and displays '°C' instead of 'ºC'.
@author: Marcelo (ELP)
Python 3.8.6
"""
"""
Reviewed on 06/05/2021
Versão 1.0 rev.B - Added FAC_DCDC_EMA variables.
@author: Marcelo (ELT)
Python 3.9.5
"""
import struct
import glob
import serial
import time
import csv
import math
import numpy as np
import matplotlib.pyplot as plt
import os
from datetime import datetime
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
======================================================================
Listas de Entidades BSMP
A posição da entidade na lista corresponde ao seu ID BSMP
======================================================================
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
UDC_FIRMWARE_VERSION = "0.42 2021-05-06"
ListVar = ['iLoad1','iLoad2','iMod1','iMod2','iMod3','iMod4','vLoad',
'vDCMod1','vDCMod2','vDCMod3','vDCMod4','vOutMod1','vOutMod2',
'vOutMod3','vOutMod4','temp1','temp2','temp3','temp4','ps_OnOff',
'ps_OpMode','ps_Remote','ps_OpenLoop','ps_SoftInterlocks',
'ps_HardInterlocks','iRef','wfmRef_Gain','wfmRef_Offset','sigGen_Enable','sigGen_Type',
'sigGen_Ncycles','sigGenPhaseStart','sigGen_PhaseEnd','sigGen_Freq',
'sigGen_Amplitude','sigGen_Offset','sigGen_Aux','dp_ID','dp_Class','dp_Coeffs','ps_Model',
'wfmRef_PtrBufferStart','wfmRef_PtrBufferEnd','wfmRef_PtrBufferK','wfmRef_SyncMode']
ListCurv = ['wfmRef_Curve','sigGen_SweepAmp','samplesBuffer','fullwfmRef_Curve','wfmRef_Blocks','samplesBuffer_blocks']
ListFunc = ['TurnOn','TurnOff','OpenLoop','ClosedLoop','OpMode','RemoteInterface',
'SetISlowRef','ConfigWfmRef','ConfigSigGen', 'EnableSigGen',
'DisableSigGen','ConfigDPModule','WfmRefUpdate','ResetInterlocks','ConfigPSModel',
'ConfigHRADC','ConfigHRADCOpMode','EnableHRADCSampling','DisableHRADCSampling','ResetWfmRef',
'SetRSAddress','EnableSamplesBuffer','DisableSamplesBuffer','SetISlowRefx4','SelectHRADCBoard','SelectTestSource',
'ResetHRADCBoards','Config_nHRADC','ReadHRADC_UFM','WriteHRADC_UFM','EraseHRADC_UFM','ReadHRADC_BoardData']
ListTestFunc = ['UdcIoExpanderTest', 'UdcLedTest', 'UdcBuzzerTest', 'UdcEepromTest', 'UdcFlashTest', 'UdcRamTest',
'UdcRtcTest', 'UdcSensorTempTest', 'UdcIsoPlaneTest', 'UdcAdcTest', 'UdcUartTest', 'UdcLoopBackTest',
'UdcComTest', 'UdcI2cIsoTest']
ListHRADCInputType = ['Vin_bipolar','Vin_unipolar_p','Vin_unipolar_n','Iin_bipolar','Iin_unipolar_p',
'Iin_unipolar_n','Vref_bipolar_p','Vref_bipolar_n','GND','Vref_unipolar_p',
'Vref_unipolar_n','GND_unipolar','Temp','Reserved0','Reserved1','Reserved2']
ListPSModels = ['FBP_100kHz', 'FBP_Parallel_100kHz', 'FAC_ACDC_10kHz', 'FAC_DCDC_20kHz',
'FAC_Full_ACDC_10kHz', 'FAC_Full_DCDC_20kHz', 'FAP_ACDC',
'FAP_DCDC_20kHz', 'TEST_HRPWM', 'TEST_HRADC', 'JIGA_HRADC',
'FAP_DCDC_15kHz_225A', 'FBPx4_100kHz', 'FAP_6U_DCDC_20kHz',
'JIGA_BASTIDOR']
ListPSModels_v2_1 = ['Empty','FBP','FBP_DCLink','FAC_ACDC','FAC_DCDC',
'FAC_2S_ACDC','FAC_2S_DCDC','FAC_2P4S_ACDC','FAC_2P4S_DCDC',
'FAP','FAP_4P','FAC_DCDC_EMA','FAP_2P2S','FAP_IMAS',
'FAC_2P_ACDC_IMAS','FAC_2P_DCDC_IMAS','Invalid','Invalid',
'Invalid','Invalid','Invalid','Invalid','Invalid','Invalid',
'Invalid','Invalid','Invalid','Invalid','Invalid','Invalid',
'Invalid','Uninitialized']
ListVar_v2_1 = ['ps_status','ps_setpoint','ps_reference','firmware_version',
'counter_set_slowref','counter_sync_pulse','siggen_enable',
'siggen_type','siggen_num_cycles','siggen_n','siggen_freq',
'siggen_amplitude','siggen_offset','siggen_aux_param',
'wfmref_selected','wfmref_sync_mode','wfmref_gain',
'wfmref_offset','p_wfmref_start','p_wfmref_end','p_wfmref_idx']
#ListCurv_v2_1 = ['wfmref','buf_samples_ctom','buf_samples_mtoc']
ListCurv_v2_1 = ['wfmref_data_0','wfmref_data_1','buf_samples_ctom']
ListFunc_v2_1 = ['turn_on','turn_off','open_loop','closed_loop','select_op_mode',
'reset_interlocks','set_command_interface',
'set_serial_termination','unlock_udc','lock_udc',
'cfg_source_scope','cfg_freq_scope','cfg_duration_scope',
'enable_scope','disable_scope','sync_pulse','set_slowref',
'set_slowref_fbp','set_slowref_readback_mon',
'set_slowref_fbp_readback_mon','set_slowref_readback_ref',
'set_slowref_fbp_readback_ref','reset_counters','cfg_wfmref',
'select_wfmref','get_wfmref_size','reset_wfmref','cfg_siggen',
'set_siggen','enable_siggen','disable_siggen','set_param','get_param',
'save_param_eeprom','load_param_eeprom', 'save_param_bank',
'load_param_bank','set_dsp_coeffs','get_dsp_coeff',
'save_dsp_coeffs_eeprom', 'load_dsp_coeffs_eeprom',
'save_dsp_modules_eeprom', 'load_dsp_modules_eeprom','reset_udc']
ListOpMode_v2_1 = ['Off','Interlock','Initializing','SlowRef','SlowRefSync',
'Cycle','RmpWfm','MigWfm','FastRef']
ListSigGenTypes_v2_1 = ['Sine','DampedSine','Trapezoidal','DampedSquaredSine',
'Square']
ListParameters = ['PS_Name','PS_Model','Num_PS_Modules','Command_Interface',
'RS485_Baudrate','RS485_Address','RS485_Termination',
'UDCNet_Address','Ethernet_IP','Ethernet_Subnet_Mask',
'Buzzer_Volume','Freq_ISR_Controller','Freq_TimeSlicer',
'Control_Loop_State','Max_Ref','Min_Ref','Max_Ref_OpenLoop',
'Min_Ref_OpenLoop',
'PWM_Freq','PWM_DeadTime','PWM_Max_Duty','PWM_Min_Duty',
'PWM_Max_Duty_OpenLoop','PWM_Min_Duty_OpenLoop',
'PWM_Lim_Duty_Share','HRADC_Num_Boards','HRADC_Freq_SPICLK',
'HRADC_Freq_Sampling','HRADC_Enable_Heater',
'HRADC_Enable_Monitor','HRADC_Type_Transducer',
'HRADC_Gain_Transducer','HRADC_Offset_Transducer','SigGen_Type',
'SigGen_Num_Cycles','SigGen_Freq','SigGen_Amplitude',
'SigGen_Offset','SigGen_Aux_Param','WfmRef_ID_WfmRef',
'WfmRef_SyncMode','WfmRef_Frequency','WfmRef_Gain',
'WfmRef_Offset','Analog_Var_Max','Analog_Var_Min',
'Hard_Interlocks_Debounce_Time','Hard_Interlocks_Reset_Time',
'Soft_Interlocks_Debounce_Time','Soft_Interlocks_Reset_Time',
'Scope_Sampling_Frequency','Scope_Source','','','','','','',
'','','','','Password','Enable_Onboard_EEPROM']
ListBCBFunc = ['ClearPof', 'SetPof', 'ReadPof', 'EnableBuzzer', 'DisableBuzzer',
'SendUartData', 'GetUartData', 'SendCanData', 'GetCanData',
'GetI2cData']
typeFormat = {'uint8_t': 'BBHBB', 'uint16_t': 'BBHHB', 'uint32_t': 'BBHIB',
'float': 'BBHfB'}
bytesFormat = {'Uint16': 'H', 'Uint32': 'L', 'Uint64': 'Q', 'float': 'f'}
typeSize = {'uint8_t': 6, 'uint16_t': 7, 'uint32_t': 9, 'float': 9}
num_blocks_curves_fbp = [4, 4, 4]
num_blocks_curves_fax = [16, 16, 16]
size_curve_block = [1024, 1024, 1024]
ufmOffset = {'serial': 0, 'calibdate': 4, 'variant': 9, 'rburden': 10,
'calibtemp': 12, 'vin_gain': 14, 'vin_offset': 16,
'iin_gain': 18, 'iin_offset': 20, 'vref_p': 22, 'vref_n': 24,
'gnd': 26}
hradcVariant = ['HRADC-FBP','HRADC-FAX-A','HRADC-FAX-B','HRADC-FAX-C','HRADC-FAX-D']
hradcInputTypes = ['GND', 'Vref_bipolar_p', 'Vref_bipolar_n', 'Temp',
'Vin_bipolar_p', 'Vin_bipolar_n', 'Iin_bipolar_p','Iin_bipolar_n']
NUM_MAX_COEFFS_DSP = 12
num_dsp_classes = 7
num_dsp_modules = [4, 4, 4, 6, 8, 4, 2, 2]
num_coeffs_dsp_modules = [0, 1, 1, 4, 8, 16, 2]
dsp_classes_names = ["DSP_Error", "DSP_SRLim", "DSP_LPF","DSP_PI",
"DSP_IIR_2P2Z", "DSP_IIR_3P3Z", "DSP_VdcLink_FeedForward",
"DSP_Vect_Product"]
# FBP
list_fbp_soft_interlocks = ['Heat-Sink Overtemperature']
list_fbp_hard_interlocks = ['Load Overcurrent',
'Load Overvoltage',
'DCLink Overvoltage',
'DCLink Undervoltage',
'DCLink Relay Fault',
'DCLink Fuse Fault',
'MOSFETs Driver Fault',
'Welded Relay Fault']
# FBP DC-Link
list_fbp_dclink_hard_interlocks = ['Power_Module_1_Fault',
'Power_Module_2_Fault',
'Power_Module_3_Fault',
'Total_Output_Overvoltage',
'Power_Module_1_Overvoltage',
'Power_Module_2_Overvoltage',
'Power_Module_3_Overvoltage',
'Total_Output_Undervoltage',
'Power_Module_1_Undervoltage',
'Power_Module_2_Undervoltage',
'Power_Module_3_Undervoltage',
'Smoke_Detector','External_Interlock']
# FAC ACDC
list_fac_acdc_soft_interlocks = []
list_fac_acdc_hard_interlocks = ['CapBank Overvoltage',
'Rectifier Overvoltage',
'Rectifier Undervoltage',
'Rectifier Overcurrent',
'Welded Contactor Fault',
'Opened Contactor Fault',
'IIB Input Stage Interlock',
'IIB Command Interlock']
list_fac_acdc_iib_is_interlocks = ['Rectifier Overvoltage',
'Input Overcurrent',
'IGBT Overtemperature',
'IGBT Overtemperature HW',
'Driver Overvoltage',
'Driver Overcurrent',
'Top Driver Error',
'Bottom Driver Error',
'Inductors Overtemperature',
'Heat-Sink Overtemperature',
'Board IIB Overtemperature',
'Module Overhumidity']
list_fac_acdc_iib_is_alarms = ['Rectifier Overvoltage',
'Input Overcurrent',
'IGBT Overtemperature',
'Driver Overvoltage',
'Driver Overcurrent',
'Inductors Overtemperature',
'Heat-Sink Overtemperature',
'Board IIB Overtemperature',
'Module Overhumidity']
list_fac_acdc_iib_cmd_interlocks = ['Capbank Overvoltage',
'Output Overvoltage',
'External Boards Overvoltage',
'Auxiliary Board Overcurrent',
'IDB Board Overcurrent',
'Rectifier Inductor Overtemperature',
'Rectifier Heat-Sink Overtemperature',
'AC Mains Overcurrent',
'Emergency Button',
'AC Mains Undervoltage',
'AC Mains Overvoltage',
'Ground Leakage Overcurrent',
'Board IIB Overtemperature',
'Module Overhumidity']
list_fac_acdc_iib_cmd_alarms = ['Capbank Overvoltage',
'Output Overvoltage',
'External Boards Overvoltage',
'Auxiliary Board Overcurrent',
'IDB Board Overcurrent',
'Rectifier Inductor Overtemperature',
'Rectifier Heat-Sink Overtemperature',
'Ground Leakage Overcurrent',
'Board IIB Overtemperature',
'Module Overhumidity']
# FAC DCDC
list_fac_dcdc_soft_interlocks = ['DCCT 1 Fault',
'DCCT 2 Fault',
'DCCT High Difference',
'Load Feedback 1 Fault',
'Load Feedback 2 Fault']
list_fac_dcdc_hard_interlocks = ['Load Overcurrent',
'CapBank Overvoltage',
'CapBank Undervoltage',
'IIB Interlock',
'External Interlock',
'Rack Interlock']
list_fac_dcdc_iib_interlocks = ['Input Overvoltage',
'Input Overcurrent',
'Output Overcurrent',
'IGBT 1 Overtemperature',
'IGBT 1 Overtemperature HW',
'IGBT 2 Overtemperature',
'IGBT 2 Overtemperature HW',
'Driver Overvoltage',
'Driver 1 Overcurrent',
'Driver 2 Overcurrent',
'Top Driver 1 Error',
'Bottom Driver 1 Error',
'Top Driver 2 Error',
'Bottom Driver 2 Error',
'Inductors Overtemperature',
'Heat-Sink Overtemperature',
'Ground Leakage Overcurrent',
'Board IIB Overtemperature',
'Module Overhumidity']
list_fac_dcdc_iib_alarms = ['Input Overvoltage',
'Input Overcurrent',
'Output Overcurrent',
'IGBT 1 Overtemperature',
'IGBT 2 Overtemperature',
'Driver Overvoltage',
'Driver 1 Overcurrent',
'Driver 2 Overcurrent',
'Inductors Overtemperature',
'Heat-Sink Overtemperature',
'Ground Leakage Overcurrent',
'Board IIB Overtemperature',
'Module Overhumidity']
# FAC-2S AC/DC
list_fac_2s_acdc_hard_interlocks = ['CapBank Overvoltage',
'Rectifier Overvoltage',
'Rectifier Undervoltage',
'Rectifier Overcurrent',
'Welded Contactor Fault',
'Opened Contactor Fault',
'IIB Input Stage Interlock',
'IIB Command Interlock']
list_fac_2s_acdc_iib_is_interlocks = list_fac_acdc_iib_is_interlocks
list_fac_2s_acdc_iib_cmd_interlocks = list_fac_acdc_iib_cmd_interlocks
list_fac_2s_acdc_iib_is_alarms = list_fac_acdc_iib_is_alarms
list_fac_2s_acdc_iib_cmd_alarms = list_fac_acdc_iib_cmd_alarms
# FAC-2S DC/DC
list_fac_2s_dcdc_soft_interlocks = ['DCCT 1 Fault',
'DCCT 2 Fault',
'DCCT High Difference',
'Load Feedback 1 Fault',
'Load Feedback 2 Fault']
list_fac_2s_dcdc_hard_interlocks = ['Load Overcurrent',
'Module 1 CapBank Overvoltage',
'Module 2 CapBank Overvoltage',
'Module 1 CapBank Undervoltage',
'Module 2 CapBank Undervoltage',
'IIB Mod 1 Itlk',
'IIB Mod 2 Itlk',
'External Interlock',
'Rack Interlock']
list_fac_2s_dcdc_iib_interlocks = list_fac_dcdc_iib_interlocks
list_fac_2s_dcdc_iib_alarms = list_fac_dcdc_iib_alarms
# FAC-2P4S AC/DC
list_fac_2p4s_acdc_hard_interlocks = ['CapBank Overvoltage',
'Rectifier Overvoltage',
'Rectifier Undervoltage',
'Rectifier Overcurrent',
'Welded Contactor Fault',
'Opened Contactor Fault',
'IIB Input Stage Interlock',
'IIB Command Interlock']
list_fac_2p4s_acdc_iib_is_interlocks = list_fac_acdc_iib_is_interlocks
list_fac_2p4s_acdc_iib_cmd_interlocks = list_fac_acdc_iib_cmd_interlocks
list_fac_2p4s_acdc_iib_is_alarms = list_fac_acdc_iib_is_alarms
list_fac_2p4s_acdc_iib_cmd_alarms = list_fac_acdc_iib_cmd_alarms
# FAC-2P4S DC/DC
list_fac_2p4s_dcdc_soft_interlocks = ['DCCT 1 Fault',
'DCCT 2 Fault',
'DCCT High Difference',
'Load Feedback 1 Fault',
'Load Feedback 2 Fault',
'Arm 1 Overcurrent',
'Arm 2 Overcurrent',
'Arms High Difference',
'Complementary PS Interlock']
list_fac_2p4s_dcdc_hard_interlocks = ['Load Overcurrent',
'Module 1 CapBank Overvoltage',
'Module 2 CapBank Overvoltage',
'Module 3 CapBank Overvoltage',
'Module 4 CapBank Overvoltage',
'Module 5 CapBank Overvoltage',
'Module 6 CapBank Overvoltage',
'Module 7 CapBank Overvoltage',
'Module 8 CapBank Overvoltage',
'Module 1 CapBank Undervoltage',
'Module 2 CapBank Undervoltage',
'Module 3 CapBank Undervoltage',
'Module 4 CapBank Undervoltage',
'Module 5 CapBank Undervoltage',
'Module 6 CapBank Undervoltage',
'Module 7 CapBank Undervoltage',
'Module 8 CapBank Undervoltage',
'IIB 1 Itlk',
'IIB 2 Itlk',
'IIB 3 Itlk',
'IIB 4 Itlk',
'IIB 5 Itlk',
'IIB 6 Itlk',
'IIB 7 Itlk',
'IIB 8 Itlk']
list_fac_2p4s_dcdc_iib_interlocks = list_fac_dcdc_iib_interlocks
list_fac_2p4s_dcdc_iib_alarms = list_fac_dcdc_iib_alarms
# FAP
list_fap_soft_interlocks = ['DCCT 1 Fault',
'DCCT 2 Fault',
'DCCT High Difference',
'Load Feedback 1 Fault',
'Load Feedback 2 Fault',
'IGBTs Current High Difference']
list_fap_hard_interlocks = ['Load Overcurrent',
'Load Overvoltage',
'DCLink Overvoltage',
'DCLink Undervoltage',
'Welded Contactor Fault',
'Opened Contactor Fault',
'IGBT 1 Overcurrent',
'IGBT 2 Overcurrent',
'IIB Itlk']
list_fap_iib_interlocks = ['Input Overvoltage',
'Output Overvoltage',
'IGBT 1 Overcurrent',
'IGBT 2 Overcurrent',
'IGBT 1 Overtemperature',
'IGBT 2 Overtemperature',
'Driver Overvoltage',
'Driver 1 Overcurrent',
'Driver 2 Overcurrent',
'Driver 1 Error',
'Driver 2 Error',
'Inductors Overtemperature',
'Heat-Sink Overtemperature',
'DCLink Contactor Fault',
'Contact Sticking of Contactor',
'External Interlock',
'Rack Interlock',
'High Leakage Current',
'Board IIB Overtemperature',
'Module Overhumidity']
list_fap_iib_alarms = ['Input Overvoltage',
'Output Overvoltage',
'IGBT 1 Overcurrent',
'IGBT 2 Overcurrent',
'IGBT 1 Overtemperature',
'IGBT 2 Overtemperature',
'Driver Overvoltage',
'Driver 1 Overcurrent',
'Driver 2 Overcurrent',
'Inductors Overtemperature',
'Heat-Sink Overtemperature',
'High Leakage Current',
'Board IIB Overtemperature',
'Module Overhumidity']
# FAP-4P
list_fap_4p_soft_interlocks = ['DCCT 1 Fault',
'DCCT 2 Fault',
'DCCT High Difference',
'Load Feedback 1 Fault',
'Load Feedback 2 Fault',
'IGBTs Current High Difference']
list_fap_4p_hard_interlocks = ['Load Overcurrent',
'Load Overvoltage',
'IGBT 1 Mod 1 Overcurrent',
'IGBT 2 Mod 1 Overcurrent',
'IGBT 1 Mod 2 Overcurrent',
'IGBT 2 Mod 2 Overcurrent',
'IGBT 1 Mod 3 Overcurrent',
'IGBT 2 Mod 3 Overcurrent',
'IGBT 1 Mod 4 Overcurrent',
'IGBT 2 Mod 4 Overcurrent',
'Welded Contactor Mod 1 Fault',
'Welded Contactor Mod 2 Fault',
'Welded Contactor Mod 3 Fault',
'Welded Contactor Mod 4 Fault',
'Opened Contactor Mod 1 Fault',
'Opened Contactor Mod 2 Fault',
'Opened Contactor Mod 3 Fault',
'Opened Contactor Mod 4 Fault',
'DCLink Mod 1 Overvoltage',
'DCLink Mod 2 Overvoltage',
'DCLink Mod 3 Overvoltage',
'DCLink Mod 4 Overvoltage',
'DCLink Mod 1 Undervoltage',
'DCLink Mod 2 Undervoltage',
'DCLink Mod 3 Undervoltage',
'DCLink Mod 4 Undervoltage',
'IIB Mod 1 Itlk',
'IIB Mod 2 Itlk',
'IIB Mod 3 Itlk',
'IIB Mod 4 Itlk']
list_fap_4p_iib_interlocks = list_fap_iib_interlocks
list_fap_4p_iib_alarms = list_fap_iib_alarms
# FAC DCDC EMA
list_fac_dcdc_ema_soft_interlocks = ['DCCT Fault',
'Load Feedback Fault']
list_fac_dcdc_ema_hard_interlocks = ['Load Overcurrent',
'DCLink Overvoltage',
'DCLink Undervoltage',
'Emergency Button',
'Load Waterflow',
'Load Overtemperature',
'IIB Itlk']
list_fac_dcdc_ema_iib_interlocks = ['Input Overvoltage',
'Input Overcurrent',
'Output Overcurrent',
'IGBT 1 Overtemperature',
'IGBT 1 Overtemperature HW',
'IGBT 2 Overtemperature',
'IGBT 2 Overtemperature HW',
'Driver Overvoltage',
'Driver 1 Overcurrent',
'Driver 2 Overcurrent',
'Top Driver 1 Error',
'Bottom Driver 1 Error',
'Top Driver 2 Error',
'Bottom Driver 2 Error',
'Inductors Overtemperature',
'Heat-Sink Overtemperature',
'Ground Leakage Overcurrent',
'Board IIB Overtemperature',
'Module Overhumidity']
list_fac_dcdc_ema_iib_alarms = ['Input Overvoltage',
'Input Overcurrent',
'Output Overcurrent',
'IGBT 1 Overtemperature',
'IGBT 2 Overtemperature',
'Driver Overvoltage',
'Driver 1 Overcurrent',
'Driver 2 Overcurrent',
'Inductors Overtemperature',
'Heat-Sink Overtemperature',
'Ground Leakage Overcurrent',
'Board IIB Overtemperature',
'Module Overhumidity']
# FAP-2P2S
list_fap_2p2s_soft_interlocks = ['DCCT 1 Fault',
'DCCT 2 Fault',
'DCCT High Difference',
'Load Feedback 1 Fault',
'Load Feedback 2 Fault',
'Arms High Difference',
'IGBTs Current High Difference',
'Complementary PS Interlock']
list_fap_2p2s_hard_interlocks = ['Load Overcurrent',
'IGBT 1 Mod 1 Overcurrent',
'IGBT 2 Mod 1 Overcurrent',
'IGBT 1 Mod 2 Overcurrent',
'IGBT 2 Mod 2 Overcurrent',
'IGBT 1 Mod 3 Overcurrent',
'IGBT 2 Mod 3 Overcurrent',
'IGBT 1 Mod 4 Overcurrent',
'IGBT 2 Mod 4 Overcurrent',
'Welded Contactor Mod 1 Fault',
'Welded Contactor Mod 2 Fault',
'Welded Contactor Mod 3 Fault',
'Welded Contactor Mod 4 Fault',
'Opened Contactor Mod 1 Fault',
'Opened Contactor Mod 2 Fault',
'Opened Contactor Mod 3 Fault',
'Opened Contactor Mod 4 Fault',
'DCLink Mod 1 Overvoltage',
'DCLink Mod 2 Overvoltage',
'DCLink Mod 3 Overvoltage',
'DCLink Mod 4 Overvoltage',
'DCLink Mod 1 Undervoltage',
'DCLink Mod 2 Undervoltage',
'DCLink Mod 3 Undervoltage',
'DCLink Mod 4 Undervoltage',
'IIB Mod 1 Itlk',
'IIB Mod 2 Itlk',
'IIB Mod 3 Itlk',
'IIB Mod 4 Itlk',
'Arm 1 Overcurrent',
'Arm 2 Overcurrent']
list_fap_2p2s_iib_interlocks = list_fap_iib_interlocks
list_fap_2p2s_iib_alarms = list_fap_iib_alarms
# FAP 225A
list_fap_225A_soft_interlocks = ['IGBTs Current High Difference']
list_fap_225A_hard_interlocks = ['Load Overcurrent',
'DCLink Contactor Fault',
'IGBT 1 Overcurrent',
'IGBT 2 Overcurrent']
# FAC-2P ACDC
list_fac_2p_acdc_imas_soft_interlocks = []
list_fac_2p_acdc_imas_hard_interlocks = ['CapBank Overvoltage',
'Rectifier Overcurrent',
'AC Mains Contactor Fault',
'Module A Interlock',
'Module B Interlock',
'DCDC Interlock']
# FAC-2P DCDC
list_fac_2p_dcdc_imas_soft_interlocks = []
list_fac_2p_dcdc_imas_hard_interlocks = ['Load Overcurrent',
'Module 1 CapBank_Overvoltage',
'Module 2 CapBank_Overvoltage',
'Module 1 CapBank_Undervoltage',
'Module 2 CapBank_Undervoltage',
'Arm 1 Overcurrent',
'Arm 2 Overcurrent',
'Arms High_Difference',
'ACDC Interlock']
class SerialDRS(object):
ser = serial.Serial()
def __init__(self):
#self.ser=serial.Serial()
self.MasterAdd = '\x00'
self.SlaveAdd = '\x01'
self.BCastAdd = '\xFF'
self.ComWriteVar = '\x20'
self.WriteFloatSizePayload = '\x00\x05'
self.WriteDoubleSizePayload = '\x00\x03'
self.ComReadVar = '\x10\x00\x01'
self.ComRequestCurve = '\x40'
self.ComSendWfmRef = '\x41'
self.ComFunction = '\x50'
self.DP_MODULE_MAX_COEFF = 16
self.ListDPClass = ['ELP_Error','ELP_SRLim','ELP_LPF','ELP_PI_dawu','ELP_IIR_2P2Z','ELP_IIR_3P3Z',
'DCL_PID','DCL_PI','DCL_DF13','DCL_DF22','DCL_23']
self.ListHardInterlocks = ['Sobrecorrente', 'Interlock Externo', 'Falha AC',
'Falha ACDC', 'Falha DCDC','Sobretensao','Falha Resistor Precarga','Falha Carga Capacitores Saída',
'Botão de Emergência', 'OUT_OVERVOLTAGE', 'IN_OVERVOLTAGE','ARM1_OVERCURRENT','ARM2_OVERCURRENT',
'IN_OVERCURRENT','DRIVER1_FAULT','DRIVER2_FAULT','OUT1_OVERCURRENT','OUT2_OVERCURRENT','OUT1_OVERVOLTAGE',
'OUT2_OVERVOLTAGE','LEAKAGE_OVERCURRENT','AC_OVERCURRENT']
self.ListSoftInterlocks = ['IGBT1_OVERTEMP','IGBT2_OVERTEMP','L1_OVERTEMP','L2_OVERTEMP','HEATSINK_OVERTEMP','WATER_OVERTEMP',
'RECTFIER1_OVERTEMP','RECTFIER2_OVERTEMP','AC_TRANSF_OVERTEMP','WATER_FLUX_FAULT','OVER_HUMIDITY_FAULT']
print("\n pyDRS - compatible UDC firmware version: " + UDC_FIRMWARE_VERSION + "\n")
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
======================================================================
Funções Internas da Classe
======================================================================
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
# Converte float para hexadecimal
def float_to_hex(self, value):
hex_value = struct.pack('f', value)
return hex_value.decode('ISO-8859-1')
# Converte lista de float para hexadecimal
def float_list_to_hex(self, value_list):
hex_list = b''
for value in value_list:
hex_list = hex_list + struct.pack('f', value)
return hex_list.decode('ISO-8859-1')
def format_list_size(self, in_list, max_size):
out_list = in_list[0:max_size]
if max_size > len(in_list):
for i in range(max_size - len(in_list)):
out_list.append(0)
return out_list
# Converte double para hexadecimal
def double_to_hex(self,value):
hex_value = struct.pack('H',value)
return hex_value.decode('ISO-8859-1')
# Converte unsigned int para hexadecimal
def uint32_to_hex(self,value):
hex_value = struct.pack('I',value)
return hex_value.decode('ISO-8859-1')
# Converte indice para hexadecimal
def index_to_hex(self,value):
hex_value = struct.pack('B',value)
return hex_value.decode('ISO-8859-1')
# Converte payload_size para hexadecimal
def size_to_hex(self,value):
hex_value = struct.pack('>H',value)
return hex_value.decode('ISO-8859-1')
# Função Checksum
def checksum(self, packet):
b=bytearray(packet.encode('ISO-8859-1'))
csum =(256-sum(b))%256
hcsum = struct.pack('B',csum)
send_msg = packet + hcsum.decode(encoding='ISO-8859-1')
return send_msg
# Função de leitura de variável
def read_var(self,var_id):
send_msg = self.checksum(self.SlaveAdd+self.ComReadVar+var_id)
self.ser.reset_input_buffer()
self.ser.write(send_msg.encode('ISO-8859-1'))
def is_open(self):
return self.ser.isOpen()
def _convertToUint16List(self, val, format):
val_16 = []
val_b = struct.pack(bytesFormat[format],val)
print(val_b)
for i in range(0,len(val_b),2):
val_16.append(struct.unpack('H',val_b[i:i+2])[0])
print(val_16)
return val_16
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
======================================================================
Métodos de Chamada de Entidades Funções BSMP
O retorno do método são os bytes de retorno da mensagem
======================================================================
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
def TurnOn_FAx(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('TurnOn'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def TurnOn(self,ps_modules):
payload_size = self.size_to_hex(1+2) #Payload: ID + ps_modules
hex_modules = self.double_to_hex(ps_modules)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('TurnOn'))+hex_modules
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def turn_on(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('turn_on'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def TurnOff_FAx(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('TurnOff'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def TurnOff(self,ps_modules):
payload_size = self.size_to_hex(1+2) #Payload: ID + ps_modules
hex_modules = self.double_to_hex(ps_modules)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('TurnOff'))+hex_modules
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def turn_off(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('turn_off'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def open_loop(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('open_loop'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def closed_loop(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('closed_loop'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def OpenLoop(self,ps_modules):
payload_size = self.size_to_hex(1+2) #Payload: ID + ps_modules
hex_modules = self.double_to_hex(ps_modules)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('OpenLoop'))+hex_modules
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ClosedLoop(self,ps_modules):
payload_size = self.size_to_hex(1+2) #Payload: ID + ps_modules
hex_modules = self.double_to_hex(ps_modules)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ClosedLoop'))+hex_modules
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def OpenLoop_FAx(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('OpenLoop'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ClosedLoop_FAx(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ClosedLoop'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def OpMode(self,op_mode):
payload_size = self.size_to_hex(1+2) #Payload: ID + ps_opmode
hex_opmode = self.double_to_hex(op_mode)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('OpMode'))+hex_opmode
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def RemoteInterface(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('RemoteInterface'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def SetISlowRef(self,setpoint):
payload_size = self.size_to_hex(1+4) #Payload: ID + iSlowRef
hex_setpoint = self.float_to_hex(setpoint)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('SetISlowRef'))+hex_setpoint
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ConfigWfmRef(self,gain,offset):
payload_size = self.size_to_hex(1+4+4) #Payload: ID + gain + offset
hex_gain = self.float_to_hex(gain)
hex_offset = self.float_to_hex(offset)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ConfigWfmRef'))+hex_gain+hex_offset
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ConfigSigGen(self,sigType,nCycles,phaseStart,phaseEnd):
payload_size = self.size_to_hex(1+2+2+4+4) #Payload: ID + type + nCycles + phaseStart + phaseEnd
hex_sigType = self.double_to_hex(sigType)
hex_nCycles = self.double_to_hex(nCycles)
hex_phaseStart = self.float_to_hex(phaseStart)
hex_phaseEnd = self.float_to_hex(phaseEnd)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ConfigSigGen'))+hex_sigType+hex_nCycles+hex_phaseStart+hex_phaseEnd
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def EnableSigGen(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('EnableSigGen'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def DisableSigGen(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('DisableSigGen'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ConfigDPModule(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ConfigDPModule'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ConfigDPModuleFull(self,dp_id,dp_class,dp_coeffs):
self.Write_dp_ID(dp_id)
self.Write_dp_Class(dp_class)
self.Write_dp_Coeffs(dp_coeffs)
self.ConfigDPModule()
def WfmRefUpdate(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('WfmRefUpdate'))
send_msg = self.checksum(self.BCastAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
def ResetInterlocks(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ResetInterlocks'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def reset_interlocks(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('reset_interlocks'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ConfigPSModel(self,ps_model):
payload_size = self.size_to_hex(1+2) #Payload: ID + ps_Model
hex_model = self.double_to_hex(ps_model)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ConfigPSModel'))+hex_model
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ConfigHRADC(self,hradcID,freqSampling,inputType,enableHeater,enableMonitor):
payload_size = self.size_to_hex(1+2+4+2+2+2) #Payload: ID + hradcID + freqSampling + inputType + enableHeater + enableMonitor
hex_hradcID = self.double_to_hex(hradcID)
hex_freq = self.float_to_hex(freqSampling)
hex_type = self.double_to_hex(ListHRADCInputType.index(inputType))
hex_enHeater = self.double_to_hex(enableHeater)
hex_enMonitor = self.double_to_hex(enableMonitor)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ConfigHRADC'))+hex_hradcID+hex_freq+hex_type+hex_enHeater+hex_enMonitor
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ConfigHRADCOpMode(self,hradcID,opMode):
payload_size = self.size_to_hex(1+2+2) #Payload: ID + hradcID + opMode
hex_hradcID = self.double_to_hex(hradcID)
hex_opMode = self.double_to_hex(opMode)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ConfigHRADCOpMode'))+hex_hradcID+hex_opMode
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def EnableHRADCSampling(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('EnableHRADCSampling'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def DisableHRADCSampling(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('DisableHRADCSampling'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ResetWfmRef(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ResetWfmRef'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def SetRSAddress(self,rs_address):
payload_size = self.size_to_hex(1+2) #Payload: ID + rs_address
hex_add = self.double_to_hex(rs_address)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('SetRSAddress'))+hex_add
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def EnableSamplesBuffer(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('EnableSamplesBuffer'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def DisableSamplesBuffer(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('DisableSamplesBuffer'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def SelectHRADCBoard(self,hradcID):
payload_size = self.size_to_hex(1+2) #Payload: ID
hex_hradcID = self.double_to_hex(hradcID)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('SelectHRADCBoard'))+hex_hradcID
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def SelectTestSource(self,inputType):
payload_size = self.size_to_hex(1+2) #Payload: inputType
hex_type = self.double_to_hex(ListHRADCInputType.index(inputType))
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('SelectTestSource'))+hex_type
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ResetHRADCBoards(self, enable):
payload_size = self.size_to_hex(1+2) #Payload: ID+enable(2)
hex_enable = self.double_to_hex(enable)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ResetHRADCBoards'))+hex_enable
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def Config_nHRADC(self,nHRADC):
payload_size = self.size_to_hex(1+2) #Payload: nHRADC
hex_nhradc = self.double_to_hex(nHRADC)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('Config_nHRADC'))+hex_nhradc
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ReadHRADC_UFM(self,hradcID,ufmadd):
payload_size = self.size_to_hex(1+2+2) #Payload: ID + hradcID + ufmadd
hex_hradcID = self.double_to_hex(hradcID)
hex_ufmadd = self.double_to_hex(ufmadd)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ReadHRADC_UFM'))+hex_hradcID+hex_ufmadd
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def WriteHRADC_UFM(self,hradcID,ufmadd,ufmdata):
payload_size = self.size_to_hex(1+2+2+2) #Payload: ID + hradcID + ufmadd + ufmdata
hex_hradcID = self.double_to_hex(hradcID)
hex_ufmadd = self.double_to_hex(ufmadd)
hex_ufmdata = self.double_to_hex(ufmdata)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('WriteHRADC_UFM'))+hex_hradcID+hex_ufmadd+hex_ufmdata
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def EraseHRADC_UFM(self,hradcID):
payload_size = self.size_to_hex(1+2) #Payload: ID + hradcID
hex_hradcID = self.double_to_hex(hradcID)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('EraseHRADC_UFM'))+hex_hradcID
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def InitHRADC_BoardData(self, serial = 12345678, day = 1, mon = 1,
year = 2017, hour = 12, minutes = 30,
variant = 'HRADC-FBP', rburden = 20, calibtemp = 40,
vin_gain = 1, vin_offset = 0, iin_gain = 1,
iin_offset = 0, vref_p = 5, vref_n = -5, gnd = 0):
boardData = {'serial': serial, 'variant': variant, 'rburden': rburden,
'tm_mday': day, 'tm_mon': mon, 'tm_year': year,
'tm_hour': hour, 'tm_min': minutes, 'calibtemp': calibtemp,
'vin_gain': vin_gain, 'vin_offset': vin_offset,
'iin_gain': iin_gain, 'iin_offset': iin_offset,
'vref_p': vref_p, 'vref_n': vref_n, 'gnd': gnd}
return boardData
def WriteHRADC_BoardData(self,hradcID,boardData):
print('Configurando placa em UFM mode...')
self.ConfigHRADCOpMode(hradcID,1)
time.sleep(0.5)
print('\nEnviando serial number...')
ufmdata_16 = self._convertToUint16List(boardData['serial'],'Uint64')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['serial'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando variante...')
ufmdata_16 = self._convertToUint16List(hradcVariant.index(boardData['variant']),'Uint16')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['variant'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando rburden...')
ufmdata_16 = self._convertToUint16List(boardData['rburden'],'float')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['rburden'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando calibdate...')
ufmdata_16 = self._convertToUint16List(boardData['tm_mday'],'Uint16')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['calibdate'],ufmdata_16[i])
time.sleep(0.1)
# Month
ufmdata_16 = self._convertToUint16List(boardData['tm_mon'],'Uint16')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['calibdate']+1,ufmdata_16[i])
time.sleep(0.1)
# Year
ufmdata_16 = self._convertToUint16List(boardData['tm_year'],'Uint16')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['calibdate']+2,ufmdata_16[i])
time.sleep(0.1)
# Hour
ufmdata_16 = self._convertToUint16List(boardData['tm_hour'],'Uint16')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['calibdate']+3,ufmdata_16[i])
time.sleep(0.1)
# Minutes
ufmdata_16 = self._convertToUint16List(boardData['tm_min'],'Uint16')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['calibdate']+4,ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando calibtemp...')
ufmdata_16 = self._convertToUint16List(boardData['calibtemp'],'float')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['calibtemp'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando vin_gain...')
ufmdata_16 = self._convertToUint16List(boardData['vin_gain'],'float')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['vin_gain'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando vin_offset...')
ufmdata_16 = self._convertToUint16List(boardData['vin_offset'],'float')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['vin_offset'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando iin_gain...')
ufmdata_16 = self._convertToUint16List(boardData['iin_gain'],'float')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['iin_gain'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando iin_offset...')
ufmdata_16 = self._convertToUint16List(boardData['iin_offset'],'float')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['iin_offset'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando vref_p...')
ufmdata_16 = self._convertToUint16List(boardData['vref_p'],'float')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['vref_p'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando vref_n...')
ufmdata_16 = self._convertToUint16List(boardData['vref_n'],'float')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['vref_n'],ufmdata_16[i])
time.sleep(0.1)
print('\nEnviando gnd...')
ufmdata_16 = self._convertToUint16List(boardData['gnd'],'float')
for i in range(len(ufmdata_16)):
self.WriteHRADC_UFM(hradcID,i+ufmOffset['gnd'],ufmdata_16[i])
time.sleep(0.1)
print('Colocando a placa em Sampling mode...')
self.ConfigHRADCOpMode(hradcID,0)
def ReadHRADC_BoardData(self,hradcID):
print('Configurando placa em UFM mode...')
print(self.ConfigHRADCOpMode(hradcID,1))
time.sleep(0.5)
print('Extraindo dados da placa...')
payload_size = self.size_to_hex(1+2) #Payload: ID + hradcID
hex_hradcID = self.double_to_hex(hradcID)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('ReadHRADC_BoardData'))+hex_hradcID
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
print(self.ser.read(6))
print('Lendo dados da placa...')
self.read_var(self.index_to_hex(50+hradcID))
reply_msg = self.ser.read(1+1+2+56+1)
print(reply_msg)
print(len(reply_msg))
val = struct.unpack('BBHLLHHHHHHfffffffffB',reply_msg)
try:
boardData = self.InitHRADC_BoardData(val[3]+val[4]*pow(2,32),val[5],
val[6],val[7],val[8],val[9],
hradcVariant[val[10]],val[11],
val[12],val[13],val[14],val[15],
val[16],val[17],val[18],val[19])
except:
print('\n### Placa não inicializada ###\n')
boardData = self.InitHRADC_BoardData(serial = int(input('Digite o S/N: ')))
print('\n')
print('Colocando a placa em Sampling mode...')
print(self.ConfigHRADCOpMode(hradcID,0))
time.sleep(0.5)
return boardData
def UpdateHRADC_BoardData(self,hradcID):
variant = len(hradcVariant)
while variant >= len(hradcVariant) or variant < 0:
variant = int(input("Enter HRADC variant number:\n 0: HRADC-FBP\n 1: HRADC-FAX-A\n 2: HRADC-FAX-B\n 3: HRADC-FAX-C\n 4: HRADC-FAX-D\n\n>>> "))
variant = hradcVariant[variant]
boardData = self.ReadHRADC_BoardData(hradcID)
boardData['variant'] = variant
boardData['vin_offset'] = np.float32(0)
boardData['iin_offset'] = np.float32(0)
if variant == 'HRADC-FBP':
boardData['rburden'] = np.float32(20)
boardData['vin_gain'] = np.float32(1)
boardData['iin_gain'] = np.float32(1)
print(boardData['vin_gain'])
print(boardData['variant'])
elif variant == 'HRADC-FAX-A':
boardData['rburden'] = np.float32(0)
boardData['vin_gain'] = np.float32(6.0/5.0)
boardData['iin_gain'] = np.float32(6.0/5.0)
print(boardData['vin_gain'])
print(boardData['variant'])
elif variant == 'HRADC-FAX-B':
boardData['rburden'] = np.float32(0)
boardData['vin_gain'] = np.float32(1)
boardData['iin_gain'] = np.float32(1)
print(boardData['vin_gain'])
print(boardData['variant'])
elif variant == 'HRADC-FAX-C':
boardData['rburden'] = np.float32(5)
boardData['vin_gain'] = np.float32(1)
boardData['iin_gain'] = np.float32(1)
print(boardData['vin_gain'])
print(boardData['variant'])
elif variant == 'HRADC-FAX-D':
boardData['rburden'] = np.float32(1)
boardData['vin_gain'] = np.float32(1)
boardData['iin_gain'] = np.float32(1)
print(boardData['vin_gain'])
print(boardData['variant'])
print('\n\nBoard data from HRADC of slot #' + str(hradcID) + ' is about to be overwritten by the following data:')
print(boardData)
i = input('\n Do you want to proceed? [y/n]: ')
if i is 'Y' or i is 'y':
self.ConfigHRADCOpMode(hradcID,1)
time.sleep(0.1)
self.EraseHRADC_UFM(hradcID)
time.sleep(0.5)
self.ResetHRADCBoards(1)
time.sleep(0.5)
self.ResetHRADCBoards(0)
time.sleep(1.5)
self.WriteHRADC_BoardData(hradcID,boardData)
boardData_new = self.ReadHRADC_BoardData(hradcID)
print(boardData_new)
print(boardData)
if boardData_new == boardData:
print('\n\n ### Operation was successful !!! ### \n\n')
else:
print('\n\n ### Operation failed !!! ### \n\n')
return [boardData, boardData_new]
def GetHRADCs_BoardData(self,numHRADC):
boardData_list = []
for i in range(numHRADC):
boardData_list.append(self.ReadHRADC_BoardData(i))
return boardData_list
def UdcEepromTest(self, rw, data=None):
if data is not None:
payload_size = self.size_to_hex(12)
hex_rw = self.double_to_hex(rw)
hex_byte_0 = self.double_to_hex(data[0])
hex_byte_1 = self.double_to_hex(data[1])
hex_byte_2 = self.double_to_hex(data[2])
hex_byte_3 = self.double_to_hex(data[3])
hex_byte_4 = self.double_to_hex(data[4])
hex_byte_5 = self.double_to_hex(data[5])
hex_byte_6 = self.double_to_hex(data[6])
hex_byte_7 = self.double_to_hex(data[7])
hex_byte_8 = self.double_to_hex(data[8])
hex_byte_9 = self.double_to_hex(data[9])
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcEepromTest'))+hex_rw[0]+ \
hex_byte_0[0] + hex_byte_1[0] + hex_byte_2[0] + hex_byte_3[0] + hex_byte_4[0] + hex_byte_5[0]+ \
hex_byte_6[0] + hex_byte_7[0] + hex_byte_8[0] + hex_byte_9[0]
print(send_packet.encode('ISO-8859-1'))
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(15)
def UdcFlashTest(self, rw):
payload_size = self.size_to_hex(2)
hex_rw = self.double_to_hex(rw)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcFlashTest'))+hex_rw[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcRamTest(self, rw):
payload_size = self.size_to_hex(2)
hex_rw = self.double_to_hex(rw)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcRamTest'))+hex_rw[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcAdcTest(self, rw, channel):
payload_size = self.size_to_hex(3)
hex_rw = self.double_to_hex(rw)
hex_channel = self.double_to_hex(channel)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcAdcTest'))+hex_rw[0]+hex_channel[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcSensorTempTest(self, rw):
payload_size = self.size_to_hex(2)
hex_rw = self.double_to_hex(rw)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcSensorTempTest'))+hex_rw[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcRtcTest(self, rw):
payload_size = self.size_to_hex(2)
hex_rw = self.double_to_hex(rw)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcRtcTest'))+hex_rw[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcUartTest(self, rw):
payload_size = self.size_to_hex(2)
hex_rw = self.double_to_hex(rw)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcUartTest'))+hex_rw[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcIoExpanderTest(self, rw):
payload_size = self.size_to_hex(2)
hex_rw = self.double_to_hex(rw)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcIoExpanderTest'))+hex_rw[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
# def UdcEthernetTest(self, rw):
# payload_size = self.size_to_hex(2)
# hex_rw = self.double_to_hex(rw)
# send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcEthernetTest'))+hex_rw
# self.ser.write(send_packet.encode('ISO-8859-1'))
# return self.ser.read()
def UdcIsoPlaneTest(self, rw):
payload_size = self.size_to_hex(2)
hex_rw = self.double_to_hex(rw)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcIsoPlaneTest'))+hex_rw[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcLoopBackTest(self, rw, channel):
payload_size = self.size_to_hex(3)
hex_rw = self.double_to_hex(rw)
hex_channel = self.double_to_hex(channel)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcLoopBackTest'))+hex_rw[0]+hex_channel[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcLedTest(self, rw):
payload_size = self.size_to_hex(2)
hex_rw = self.double_to_hex(rw)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcLedTest'))+hex_rw[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcBuzzerTest(self, rw):
payload_size = self.size_to_hex(2)
hex_rw = self.double_to_hex(rw)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcBuzzerTest'))+hex_rw[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def UdcComTest(self, rw, val):
payload_size = self.size_to_hex(3)
hex_rw = self.double_to_hex(rw)
hex_value = self.double_to_hex(val)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcComTest'))+hex_rw[0]+hex_value[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
time.sleep(0.2)
return self.ser.read(6)
def UdcI2cIsoTest(self, rw, val):
payload_size = self.size_to_hex(3)
hex_rw = self.double_to_hex(rw)
hex_value = self.double_to_hex(val)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListTestFunc.index('UdcI2cIsoTest'))+hex_rw[0]+hex_value[0]
self.ser.write(send_packet.encode('ISO-8859-1'))
return self.ser.read(6)
def SetISlowRefx4(self, iRef1 = 0, iRef2 = 0, iRef3 = 0, iRef4 = 0):
payload_size = self.size_to_hex(1+4*4) #Payload: ID + 4*iRef
hex_iRef1 = self.float_to_hex(iRef1)
hex_iRef2 = self.float_to_hex(iRef2)
hex_iRef3 = self.float_to_hex(iRef3)
hex_iRef4 = self.float_to_hex(iRef4)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc.index('SetISlowRefx4'))+hex_iRef1+hex_iRef2+hex_iRef3+hex_iRef4
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def SetPof(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('SetPof'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ClearPof(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('ClearPof'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def ReadPof(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('ReadPof'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def EnableBuzzer(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('EnableBuzzer'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def DisableBuzzer(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('DisableBuzzer'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def SendUartData(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('SendUartData'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def GetUartData(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('GetUartData'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def SendCanData(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('SendCanData'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def GetCanData(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('GetCanData'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def GetI2cData(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListBCBFunc.index('GetI2cData'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def read_ps_status(self):
self.read_var(self.index_to_hex(ListVar_v2_1.index('ps_status')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
status = {}
status['state'] = ListOpMode_v2_1[(val[3] & 0b0000000000001111)]
status['open_loop'] = (val[3] & 0b0000000000010000) >> 4
status['interface'] = (val[3] & 0b0000000001100000) >> 5
status['active'] = (val[3] & 0b0000000010000000) >> 7
status['model'] = ListPSModels_v2_1[(val[3] & 0b0001111100000000) >> 8]
status['unlocked'] = (val[3] & 0b0010000000000000) >> 13
#print(status)
return status
def set_ps_name(self,ps_name):
if type(ps_name) == str:
for n in range(len(ps_name)):
self.set_param('PS_Name', n, float(ord(ps_name[n])))
for i in range(n+1,64):
self.set_param('PS_Name', i, float(ord(" ")))
def get_ps_name(self):
ps_name = ""
for n in range(64):
ps_name = ps_name + chr(int(self.get_param('PS_Name', n)))
if ps_name[-3:] == ' ':
ps_name = ps_name[:n-2]
break
return ps_name
def set_slowref(self,setpoint):
payload_size = self.size_to_hex(1+4) #Payload: ID + iSlowRef
hex_setpoint = self.float_to_hex(setpoint)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_slowref'))+hex_setpoint
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def set_slowref_fbp(self, iRef1 = 0, iRef2 = 0, iRef3 = 0, iRef4 = 0):
payload_size = self.size_to_hex(1+4*4) #Payload: ID + 4*iRef
hex_iRef1 = self.float_to_hex(iRef1)
hex_iRef2 = self.float_to_hex(iRef2)
hex_iRef3 = self.float_to_hex(iRef3)
hex_iRef4 = self.float_to_hex(iRef4)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_slowref_fbp'))+hex_iRef1+hex_iRef2+hex_iRef3+hex_iRef4
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def set_slowref_readback_mon(self,setpoint):
payload_size = self.size_to_hex(1+4) #Payload: ID + iSlowRef
hex_setpoint = self.float_to_hex(setpoint)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_slowref_readback_mon'))+hex_setpoint
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def set_slowref_fbp_readback_mon(self, iRef1 = 0, iRef2 = 0, iRef3 = 0, iRef4 = 0):
payload_size = self.size_to_hex(1+4*4) #Payload: ID + 4*iRef
hex_iRef1 = self.float_to_hex(iRef1)
hex_iRef2 = self.float_to_hex(iRef2)
hex_iRef3 = self.float_to_hex(iRef3)
hex_iRef4 = self.float_to_hex(iRef4)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_slowref_fbp_readback_mon'))+hex_iRef1+hex_iRef2+hex_iRef3+hex_iRef4
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(21)
if(len(reply_msg) == 6):
return reply_msg
else:
val = struct.unpack('BBHffffB',reply_msg)
return [val[3],val[4],val[5],val[6]]
def set_slowref_readback_ref(self,setpoint):
payload_size = self.size_to_hex(1+4) #Payload: ID + iSlowRef
hex_setpoint = self.float_to_hex(setpoint)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_slowref_readback_ref'))+hex_setpoint
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def set_slowref_fbp_readback_ref(self, iRef1 = 0, iRef2 = 0, iRef3 = 0, iRef4 = 0):
payload_size = self.size_to_hex(1+4*4) #Payload: ID + 4*iRef
hex_iRef1 = self.float_to_hex(iRef1)
hex_iRef2 = self.float_to_hex(iRef2)
hex_iRef3 = self.float_to_hex(iRef3)
hex_iRef4 = self.float_to_hex(iRef4)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_slowref_fbp_readback_ref'))+hex_iRef1+hex_iRef2+hex_iRef3+hex_iRef4
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(21)
if(len(reply_msg) == 6):
return reply_msg
else:
val = struct.unpack('BBHffffB',reply_msg)
return [val[3],val[4],val[5],val[6]]
def set_param(self, param_id, n, value):
payload_size = self.size_to_hex(1+2+2+4) #Payload: ID + param id + [n] + value
if type(param_id) == str:
hex_id = self.double_to_hex(ListParameters.index(param_id))
if type(param_id) == int:
hex_id = self.double_to_hex(param_id)
hex_n = self.double_to_hex(n)
hex_value = self.float_to_hex(value)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_param'))+hex_id+hex_n+hex_value
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(6)
if reply_msg[4] == 8:
print('Invalid parameter')
return reply_msg
def get_param(self, param_id, n = 0):
payload_size = self.size_to_hex(1+2+2) #Payload: ID + param id + [n]
if type(param_id) == str:
hex_id = self.double_to_hex(ListParameters.index(param_id))
if type(param_id) == int:
hex_id = self.double_to_hex(param_id)
hex_n = self.double_to_hex(n)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('get_param'))+hex_id+hex_n
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.reset_input_buffer()
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(9)
if len(reply_msg) == 9:
val = struct.unpack('BBHfB',reply_msg)
return val[3]
else:
#print('Invalid parameter')
return float('nan')
def save_param_eeprom(self, param_id, n = 0, type_memory = 2):
payload_size = self.size_to_hex(1+2+2+2) #Payload: ID + param id + [n] + memory type
if type(param_id) == str:
hex_id = self.double_to_hex(ListParameters.index(param_id))
if type(param_id) == int:
hex_id = self.double_to_hex(param_id)
hex_n = self.double_to_hex(n)
hex_type = self.double_to_hex(type_memory)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('save_param_eeprom'))+hex_id+hex_n+hex_type
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(6)
if reply_msg[4] == 8:
print('Invalid parameter')
return reply_msg
def load_param_eeprom(self, param_id, n = 0, type_memory = 2):
payload_size = self.size_to_hex(1+2+2+2) #Payload: ID + param id + [n] + memory type
if type(param_id) == str:
hex_id = self.double_to_hex(ListParameters.index(param_id))
if type(param_id) == int:
hex_id = self.double_to_hex(param_id)
hex_n = self.double_to_hex(n)
hex_type = self.double_to_hex(type_memory)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('load_param_eeprom'))+hex_id+hex_n+hex_type
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(6)
if reply_msg[4] == 8:
print('Invalid parameter')
return reply_msg
def save_param_bank(self, type_memory = 2):
payload_size = self.size_to_hex(1+2) #Payload: ID + memory type
hex_type = self.double_to_hex(type_memory)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('save_param_bank'))+hex_type
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def load_param_bank(self, type_memory = 2):
payload_size = self.size_to_hex(1+2) #Payload: ID + memory type
hex_type = self.double_to_hex(type_memory)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('load_param_bank'))+hex_type
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def set_param_bank(self, param_file):
fbp_param_list = []
with open(param_file,newline='') as f:
reader = csv.reader(f)
for row in reader:
fbp_param_list.append(row)
for param in fbp_param_list:
if str(param[0]) == 'PS_Name':
print(str(param[0]) + "[0]: " + str(param[1]))
print(self.set_ps_name(str(param[1])))
else:
for n in range(64):
try:
print(str(param[0]) + "["+ str(n) + "]: " + str(param[n+1]))
print(self.set_param(str(param[0]),n,float(param[n+1])))
except:
break
#self.save_param_bank()
def get_param_bank(self, list_param = ListParameters, timeout = 0.5, print_modules = True):
timeout_old = self.ser.timeout
#self.ser.timeout = 0.05
param_bank = []
for param_name in list_param:
param_row = [param_name]
for n in range(64):
if param_name == 'PS_Name':
p = self.get_ps_name()
param_row.append(p)
#if(print_modules):
#print('PS_Name: ' + p)
self.ser.timeout = timeout
break
else:
p = self.get_param(param_name,n)
if math.isnan(p):
break
param_row.append(p)
#if(print_modules):
#print(param_name + "[" + str(n) + "]: " + str(p))
if(print_modules):
print(param_row)
param_bank.append(param_row)
self.ser.timeout = timeout_old
return param_bank
def store_param_bank_csv(self, bank):
filename = input('Digite o nome do arquivo: ')
with open( filename + '.csv', 'w', newline='') as f:
writer = csv.writer(f, delimiter=',')
for param_row in bank:
writer.writerow(param_row)
def enable_onboard_eeprom(self):
self.set_param('Enable_Onboard_EEPROM',0,0)
self.save_param_eeprom('Enable_Onboard_EEPROM',0,2)
def disable_onboard_eeprom(self):
self.set_param('Enable_Onboard_EEPROM',0,1)
self.save_param_eeprom('Enable_Onboard_EEPROM',0,2)
def set_dsp_coeffs(self, dsp_class, dsp_id, coeffs_list = [0,0,0,0,0,0,0,0,0,0,0,0]):
coeffs_list_full = self.format_list_size(coeffs_list, NUM_MAX_COEFFS_DSP)
payload_size = self.size_to_hex(1+2+2+4*NUM_MAX_COEFFS_DSP)
hex_dsp_class= self.double_to_hex(dsp_class)
hex_dsp_id = self.double_to_hex(dsp_id)
hex_coeffs = self.float_list_to_hex(coeffs_list_full)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_dsp_coeffs'))+hex_dsp_class+hex_dsp_id+hex_coeffs
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def get_dsp_coeff(self, dsp_class, dsp_id, coeff):
payload_size = self.size_to_hex(1+2+2+2)
hex_dsp_class= self.double_to_hex(dsp_class)
hex_dsp_id = self.double_to_hex(dsp_id)
hex_coeff = self.double_to_hex(coeff)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('get_dsp_coeff'))+hex_dsp_class+hex_dsp_id+hex_coeff
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.reset_input_buffer()
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(9)
#print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def save_dsp_coeffs_eeprom(self, dsp_class, dsp_id, type_memory = 2):
payload_size = self.size_to_hex(1+2+2+2)
hex_dsp_class= self.double_to_hex(dsp_class)
hex_dsp_id = self.double_to_hex(dsp_id)
hex_type = self.double_to_hex(type_memory)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('save_dsp_coeffs_eeprom'))+hex_dsp_class+hex_dsp_id+hex_type
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def load_dsp_coeffs_eeprom(self, dsp_class, dsp_id, type_memory = 2):
payload_size = self.size_to_hex(1+2+2+2)
hex_dsp_class= self.double_to_hex(dsp_class)
hex_dsp_id = self.double_to_hex(dsp_id)
hex_type = self.double_to_hex(type_memory)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('load_dsp_coeffs_eeprom'))+hex_dsp_class+hex_dsp_id+hex_type
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def save_dsp_modules_eeprom(self, type_memory = 2):
payload_size = self.size_to_hex(1+2) #Payload: ID + memory type
hex_type = self.double_to_hex(type_memory)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('save_dsp_modules_eeprom'))+hex_type
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def load_dsp_modules_eeprom(self, type_memory = 2):
payload_size = self.size_to_hex(1+2) #Payload: ID + memory type
hex_type = self.double_to_hex(type_memory)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('load_dsp_modules_eeprom'))+hex_type
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def reset_udc(self):
reply = input('\nEste comando realiza o reset do firmware da placa UDC, e por isso, so e executado caso a fonte esteja desligada. \nCaso deseje apenas resetar interlocks, utilize o comando reset_interlocks(). \n\nTem certeza que deseja prosseguir? [Y/N]: ')
if reply == 'Y' or reply == 'y':
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('reset_udc'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
def run_bsmp_func(self,id_func,print_msg = 0):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(id_func)
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
reply_msg = self.ser.read(6)
if print_msg:
print(reply_msg)
return reply_msg
def run_bsmp_func_all_ps(self,p_func,add_list,arg = None,delay = 0.5, print_reply = 1):
old_add = self.GetSlaveAdd()
for add in add_list:
self.SetSlaveAdd(add)
if arg == None:
r = p_func()
else:
r = p_func(arg)
if print_reply:
print('\n Add ' + str(add))
print(r)
time.sleep(delay)
self.SetSlaveAdd(old_add)
def cfg_source_scope(self,p_source):
payload_size = self.size_to_hex(1+4) #Payload: ID + p_source
hex_op_mode = self.uint32_to_hex(p_source)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('cfg_source_scope'))+hex_op_mode
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def cfg_freq_scope(self,freq):
payload_size = self.size_to_hex(1+4) #Payload: ID + freq
hex_op_mode = self.float_to_hex(freq)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('cfg_freq_scope'))+hex_op_mode
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def cfg_duration_scope(self,duration):
payload_size = self.size_to_hex(1+4) #Payload: ID + duration
hex_op_mode = self.float_to_hex(duration)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('cfg_duration_scope'))+hex_op_mode
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def enable_scope(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('enable_scope'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def disable_scope(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('disable_scope'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def get_scope_vars(self):
print('\n### Scope Variables ###\n')
print('Frequency: ' + str((round(self.read_bsmp_variable(25,'float'),3))))
print('Duration: ' + str((round(self.read_bsmp_variable(26,'float'),3))))
print('Source Data: ' + str((round(self.read_bsmp_variable(27,'uint32_t'),3))))
def sync_pulse(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('sync_pulse'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def select_op_mode(self,op_mode):
payload_size = self.size_to_hex(1+2) #Payload: ID + enable
hex_op_mode = self.double_to_hex(ListOpMode_v2_1.index(op_mode))
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('select_op_mode'))+hex_op_mode
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def set_serial_termination(self,term_enable):
payload_size = self.size_to_hex(1+2) #Payload: ID + enable
hex_enable = self.double_to_hex(term_enable)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_serial_termination'))+hex_enable
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def set_command_interface(self,interface):
payload_size = self.size_to_hex(1+2) #Payload: ID + enable
hex_interface = self.double_to_hex(interface)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('set_command_interface'))+hex_interface
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def unlock_udc(self,password):
payload_size = self.size_to_hex(1+2) #Payload: ID + password
hex_password = self.double_to_hex(password)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('unlock_udc'))+hex_password
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def lock_udc(self,password):
payload_size = self.size_to_hex(1+2) #Payload: ID + password
hex_password = self.double_to_hex(password)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('lock_udc'))+hex_password
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def reset_counters(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('reset_counters'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def cfg_siggen(self,sig_type,num_cycles,freq,amplitude,offset,aux0,aux1,aux2,aux3):
payload_size = self.size_to_hex(1+2+2+4+4+4+4*4)
hex_sig_type = self.double_to_hex(ListSigGenTypes_v2_1.index(sig_type))
hex_num_cycles = self.double_to_hex(num_cycles)
hex_freq = self.float_to_hex(freq)
hex_amplitude = self.float_to_hex(amplitude)
hex_offset = self.float_to_hex(offset)
hex_aux0 = self.float_to_hex(aux0)
hex_aux1 = self.float_to_hex(aux1)
hex_aux2 = self.float_to_hex(aux2)
hex_aux3 = self.float_to_hex(aux3)
send_packet = self.ComFunction + payload_size + self.index_to_hex(ListFunc_v2_1.index('cfg_siggen')) + hex_sig_type + hex_num_cycles + hex_freq + hex_amplitude + hex_offset + hex_aux0 + hex_aux1 + hex_aux2 + hex_aux3
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def set_siggen(self,freq,amplitude,offset):
payload_size = self.size_to_hex(1+4+4+4)
hex_freq = self.float_to_hex(freq)
hex_amplitude = self.float_to_hex(amplitude)
hex_offset = self.float_to_hex(offset)
send_packet = self.ComFunction + payload_size + self.index_to_hex(ListFunc_v2_1.index('set_siggen')) + hex_freq + hex_amplitude + hex_offset
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def enable_siggen(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size + self.index_to_hex(ListFunc_v2_1.index('enable_siggen'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def disable_siggen(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size + self.index_to_hex(ListFunc_v2_1.index('disable_siggen'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def cfg_wfmref(self, idx, sync_mode, frequency, gain = 1, offset = 0):
payload_size = self.size_to_hex(1+2+2+4+4+4) #Payload: ID + idx + sync_mode + frequency + gain + offset
hex_idx = self.double_to_hex(idx)
hex_mode = self.double_to_hex(sync_mode)
hex_freq = self.float_to_hex(frequency)
hex_gain = self.float_to_hex(gain)
hex_offset = self.float_to_hex(offset)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('cfg_wfmref'))+hex_idx+hex_mode+hex_freq+hex_gain+hex_offset
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def select_wfmref(self,idx):
payload_size = self.size_to_hex(1+2) #Payload: ID + idx
hex_idx = self.double_to_hex(idx)
send_packet = self.ComFunction+payload_size+self.index_to_hex(ListFunc_v2_1.index('select_wfmref'))+hex_idx
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def reset_wfmref(self):
payload_size = self.size_to_hex(1) #Payload: ID
send_packet = self.ComFunction+payload_size + self.index_to_hex(ListFunc_v2_1.index('reset_wfmref'))
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(6)
def get_wfmref_vars(self,curve_id):
print('\n### WfmRef ' + str(curve_id) + ' Variables ###\n')
print('Length: ' + str((round(self.read_bsmp_variable(20+curve_id*3,'uint32_t'),3)-round(self.read_bsmp_variable(19+curve_id*3,'uint32_t'),3))/2+1))
print('Index: ' + str((round(self.read_bsmp_variable(21+curve_id*3,'uint32_t'),3)-round(self.read_bsmp_variable(19+curve_id*3,'uint32_t'),3))/2+1))
print('WfmRef Selected: ' + str(round(self.read_bsmp_variable(14,'uint16_t'),3)))
print('Sync Mode: ' + str(round(self.read_bsmp_variable(15,'uint16_t'),3)))
print('Frequency: ' + str(round(self.read_bsmp_variable(16,'float'),3)) + " Hz")
print('Gain: ' + str(round(self.read_bsmp_variable(17,'float'),3)))
print('Offset: ' + str(round(self.read_bsmp_variable(18,'float'),3)))
def read_csv_file(self,filename, type = 'float'):
csv_list = []
with open(filename, newline = '') as f:
reader = csv.reader(f)
for row in reader:
if type == 'float':
row_converted = float(row[0])
elif type == 'string' or type == 'str':
row_converted = str(row[0])
csv_list.append(row_converted)
print('Length of list: ' + str(len(csv_list)) + '\n')
return csv_list
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
======================================================================
Métodos de Leitura de Valores das Variáveis BSMP
O retorno do método são os valores double/float da respectiva variavel
======================================================================
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
def read_bsmp_variable(self,id_var,type_var,print_msg = 0):
self.read_var(self.index_to_hex(id_var))
reply_msg = self.ser.read(typeSize[type_var])
if print_msg:
print(reply_msg)
val = struct.unpack(typeFormat[type_var],reply_msg)
return val[3]
def read_bsmp_variable_gen(self,id_var,size_bytes,print_msg = 0):
self.read_var(self.index_to_hex(id_var))
reply_msg = self.ser.read(size_bytes+5)
if print_msg:
print(reply_msg)
return reply_msg
def read_udc_arm_version(self):
self.read_var(self.index_to_hex(3))
reply_msg = self.ser.read(133)
val = struct.unpack('16s',reply_msg[4:20])
return val[0].decode('utf-8')
def read_udc_c28_version(self):
self.read_var(self.index_to_hex(3))
reply_msg = self.ser.read(133)
val = struct.unpack('16s',reply_msg[20:36])
return val[0].decode('utf-8')
def read_udc_version(self):
print('\n ARM: ' + self.read_udc_arm_version())
print(' C28: ' + self.read_udc_c28_version())
def Read_iLoad1(self):
self.read_var(self.index_to_hex(ListVar.index('iLoad1')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_iLoad2(self):
self.read_var(self.index_to_hex(ListVar.index('iLoad2')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_iMod1(self):
self.read_var(self.index_to_hex(ListVar.index('iMod1')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_iMod2(self):
self.read_var(self.index_to_hex(ListVar.index('iMod2')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_iMod3(self):
self.read_var(self.index_to_hex(ListVar.index('iMod3')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_iMod4(self):
self.read_var(self.index_to_hex(ListVar.index('iMod4')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_vLoad(self):
self.read_var(self.index_to_hex(ListVar.index('vLoad')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_vDCMod1(self):
self.read_var(self.index_to_hex(ListVar.index('vDCMod1')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_vDCMod2(self):
self.read_var(self.index_to_hex(ListVar.index('vDCMod2')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_vDCMod3(self):
self.read_var(self.index_to_hex(ListVar.index('vDCMod3')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_vDCMod4(self):
self.read_var(self.index_to_hex(ListVar.index('vDCMod4')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_vOutMod1(self):
self.read_var(self.index_to_hex(ListVar.index('vOutMod1')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_vOutMod2(self):
self.read_var(self.index_to_hex(ListVar.index('vOutMod2')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_vOutMod3(self):
self.read_var(self.index_to_hex(ListVar.index('vOutMod3')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_vOutMod4(self):
self.read_var(self.index_to_hex(ListVar.index('vOutMod4')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_temp1(self):
self.read_var(self.index_to_hex(ListVar.index('temp1')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_temp2(self):
self.read_var(self.index_to_hex(ListVar.index('temp2')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_temp3(self):
self.read_var(self.index_to_hex(ListVar.index('temp3')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_temp4(self):
self.read_var(self.index_to_hex(ListVar.index('temp4')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_ps_OnOff(self):
self.read_var(self.index_to_hex(ListVar.index('ps_OnOff')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_ps_OpMode(self):
self.read_var(self.index_to_hex(ListVar.index('ps_OpMode')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_ps_Remote(self):
self.read_var(self.index_to_hex(ListVar.index('ps_Remote')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_ps_OpenLoop(self):
self.read_var(self.index_to_hex(ListVar.index('ps_OpenLoop')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_ps_SoftInterlocks(self):
op_bin = 1
ActiveSoftInterlocks = []
SoftInterlocksList = ['N/A', 'Sobre-tensao na carga 1', 'N/A',\
'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A',\
'Sobre-tensao na carga 2', 'N/A', \
'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A',\
'Sobre-tensao na carga 3', 'N/A', \
'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A',\
'Sobre-tensao na carga 4', 'N/A', \
'N/A', 'N/A', 'N/A', 'N/A', 'N/A', 'N/A']
self.read_var(self.index_to_hex(ListVar.index('ps_SoftInterlocks')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHIB',reply_msg)
print('Soft Interlocks ativos:')
for i in range(len('{0:b}'.format(val[3]))):
if (val[3] & (op_bin << i)) == 2**i:
ActiveSoftInterlocks.append(SoftInterlocksList[i])
print(SoftInterlocksList[i])
print('---------------------------------------------------------------')
return val[3]
def Read_ps_HardInterlocks(self):
op_bin = 1
ActiveHardInterlocks = []
HardInterlocksList = ['Sobre-corrente na carga 1', 'N/A', \
'Sobre-tensao no DC-Link do modulo 1', \
'Sub-tensao no DC-Link do modulo 1', \
'Falha no rele de entrada do DC-Link do modulo 1', \
'Falha no fusivel de entrada do DC-Link do modulo 1', \
'Falha nos drivers do modulo 1', \
'Sobre-temperatura no modulo 1', \
'Sobre-corrente na carga 2', 'N/A', \
'Sobre-tensao no DC-Link do modulo 2', \
'Sub-tensao no DC-Link do modulo 2', \
'Falha no rele de entrada do DC-Link do modulo 2', \
'Falha no fusivel de entrada do DC-Link do modulo 2', \
'Falha nos drivers do modulo 2', \
'Sobre-temperatura no modulo 2', \
'Sobre-corrente na carga 3', 'N\A', \
'Sobre-tensao no DC-Link do modulo 3', \
'Sub-tensao no DC-Link do modulo 3', \
'Falha no rele de entrada no DC-Link do modulo 3', \
'Falha no fusivel de entrada do DC-Link do modulo 3', \
'Falha nos drivers do modulo 3', \
'Sobre-temperatura no modulo 3', \
'Sobre-corrente na carga 4', 'N/A', \
'Sobre-tensao no DC-Link do modulo 4', \
'Sub-tensao no DC-Link do modulo 4', \
'Falha no rele de entrada do DC-Link do modulo 4', \
'Falha no fusivel de entrada do DC-Link do modulo 4', \
'Falha nos drivers do modulo 4', \
'Sobre-temperatura no modulo 4']
self.read_var(self.index_to_hex(ListVar.index('ps_HardInterlocks')))
reply_msg = self.ser.read(9)
print(reply_msg)
val = struct.unpack('BBHIB',reply_msg)
print('Hard Interlocks ativos:')
for i in range(len('{0:b}'.format(val[3]))):
if (val[3] & (op_bin << i)) == 2**i:
ActiveHardInterlocks.append(HardInterlocksList[i])
print(HardInterlocksList[i])
print('---------------------------------------------------------------')
return val[3]
def Read_iRef(self):
self.read_var(self.index_to_hex(ListVar.index('iRef')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_wfmRef_Gain(self):
self.read_var(self.index_to_hex(ListVar.index('wfmRef_Gain')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_wfmRef_Offset(self):
self.read_var(self.index_to_hex(ListVar.index('wfmRef_Offset')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_sigGen_Enable(self):
self.read_var(self.index_to_hex(ListVar.index('sigGen_Enable')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_sigGen_Type(self):
self.read_var(self.index_to_hex(ListVar.index('sigGen_Type')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_sigGen_Ncycles(self):
self.read_var(self.index_to_hex(ListVar.index('sigGen_Ncycles')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_sigGen_PhaseStart(self):
self.read_var(self.index_to_hex(ListVar.index('sigGen_PhaseStart')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_sigGen_PhaseEnd(self):
self.read_var(self.index_to_hex(ListVar.index('sigGen_PhaseEnd')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_sigGen_Freq(self):
self.read_var(self.index_to_hex(ListVar.index('sigGen_Freq')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_sigGen_Amplitude(self):
self.read_var(self.index_to_hex(ListVar.index('sigGen_Amplitude')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_sigGen_Offset(self):
self.read_var(self.index_to_hex(ListVar.index('sigGen_Offset')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_sigGen_Aux(self):
self.read_var(self.index_to_hex(ListVar.index('sigGen_Aux')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_dp_ID(self):
self.read_var(self.index_to_hex(ListVar.index('dp_ID')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_dp_Class(self):
self.read_var(self.index_to_hex(ListVar.index('dp_Class')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_dp_Coeffs(self):
self.read_var(self.index_to_hex(ListVar.index('dp_Coeffs')))
reply_msg = self.ser.read(69)
val = struct.unpack('BBHffffffffffffffffB',reply_msg)
return [val[3],val[4],val[5],val[6],val[7],val[8],val[9],val[10],val[11],val[12],val[13],val[14],val[15],val[16],val[17],val[18]]
def Read_ps_Model(self):
self.read_var(self.index_to_hex(ListVar.index('ps_Model')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val
def read_ps_model(self):
reply_msg = self.Read_ps_Model()
return ListPSModels[reply_msg[3]]
def Read_wfmRef_PtrBufferStart(self):
self.read_var(self.index_to_hex(ListVar.index('wfmRef_PtrBufferStart')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHIB',reply_msg)
return val[3]
def Read_wfmRef_PtrBufferEnd(self):
self.read_var(self.index_to_hex(ListVar.index('wfmRef_PtrBufferEnd')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHIB',reply_msg)
return val[3]
def Read_wfmRef_PtrBufferK(self):
self.read_var(self.index_to_hex(ListVar.index('wfmRef_PtrBufferK')))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHIB',reply_msg)
return val[3]
def Read_wfmRef_SyncMode(self):
self.read_var(self.index_to_hex(ListVar.index('wfmRef_SyncMode')))
reply_msg = self.ser.read(7)
val = struct.unpack('BBHHB',reply_msg)
return val[3]
def Read_iRef1(self):
self.read_var(self.index_to_hex(45))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_iRef2(self):
self.read_var(self.index_to_hex(46))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_iRef3(self):
self.read_var(self.index_to_hex(47))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_iRef4(self):
self.read_var(self.index_to_hex(48))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
def Read_counterSetISlowRefx4(self):
self.read_var(self.index_to_hex(49))
reply_msg = self.ser.read(9)
val = struct.unpack('BBHfB',reply_msg)
return val[3]
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
======================================================================
Métodos de Escrita de Valores das Variáveis BSMP
O retorno do método são os bytes de retorno da mensagem
======================================================================
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
def Write_sigGen_Freq(self,float_value):
hex_float = self.float_to_hex(float_value)
send_packet = self.ComWriteVar+self.WriteFloatSizePayload+self.index_to_hex(ListVar.index('sigGen_Freq'))+hex_float
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
def Write_sigGen_Amplitude(self,float_value):
hex_float = self.float_to_hex(float_value)
send_packet = self.ComWriteVar+self.WriteFloatSizePayload+self.index_to_hex(ListVar.index('sigGen_Amplitude'))+hex_float
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
def Write_sigGen_Offset(self,float_value):
hex_float = self.float_to_hex(float_value)
send_packet = self.ComWriteVar+self.WriteFloatSizePayload+self.index_to_hex(ListVar.index('sigGen_Offset'))+hex_float
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
def Write_sigGen_Aux(self,float_value):
hex_float = self.float_to_hex(float_value)
send_packet = self.ComWriteVar+self.WriteFloatSizePayload+self.index_to_hex(ListVar.index('sigGen_Aux'))+hex_float
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
def Write_dp_ID(self,double_value):
hex_double = self.double_to_hex(double_value)
send_packet = self.ComWriteVar+self.WriteDoubleSizePayload+self.index_to_hex(ListVar.index('dp_ID'))+hex_double
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
def Write_dp_Class(self,double_value):
hex_double = self.double_to_hex(double_value)
send_packet = self.ComWriteVar+self.WriteDoubleSizePayload+self.index_to_hex(ListVar.index('dp_Class'))+hex_double
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
def Write_dp_Coeffs(self,list_float):
hex_float_list = []
#list_full = list_float[:]
#while(len(list_full) < self.DP_MODULE_MAX_COEFF):
# list_full.append(0)
list_full = [0 for i in range(self.DP_MODULE_MAX_COEFF)]
list_full[:len(list_float)] = list_float[:]
for float_value in list_full:
hex_float = self.float_to_hex(float(float_value))
hex_float_list.append(hex_float)
str_float_list = ''.join(hex_float_list)
payload_size = self.size_to_hex(1+4*self.DP_MODULE_MAX_COEFF) #Payload: ID + 16floats
send_packet = self.ComWriteVar+payload_size+self.index_to_hex(ListVar.index('dp_Coeffs'))+str_float_list
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
======================================================================
Métodos de Escrita de Curvas BSMP
O retorno do método são os bytes de retorno da mensagem
======================================================================
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
def Send_wfmRef_Curve(self,block_idx,data):
block_hex = struct.pack('>H',block_idx).decode('ISO-8859-1')
val = []
for k in range(0,len(data)):
val.append(self.float_to_hex(float(data[k])))
payload_size = struct.pack('>H', (len(val)*4)+3).decode('ISO-8859-1')
curva_hex = ''.join(val)
send_packet = self.ComSendWfmRef+payload_size+self.index_to_hex(ListCurv.index('wfmRef_Curve'))+block_hex+curva_hex
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
def Recv_wfmRef_Curve(self,block_idx):
block_hex = struct.pack('>H',block_idx).decode('ISO-8859-1')
payload_size = self.size_to_hex(1+2) #Payload: ID+Block_index
send_packet = self.ComRequestCurve+payload_size+self.index_to_hex(ListCurv.index('wfmRef_Curve'))+block_hex
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
recv_msg = self.ser.read(1+1+2+1+2+8192+1) #Address+Command+Size+ID+Block_idx+data+checksum
val = []
for k in range(7,len(recv_msg)-1,4):
val.append(struct.unpack('f',recv_msg[k:k+4]))
return val
def Recv_samplesBuffer(self):
block_hex = struct.pack('>H',0).decode('ISO-8859-1')
payload_size = self.size_to_hex(1+2) #Payload: ID+Block_index
send_packet = self.ComRequestCurve+payload_size+self.index_to_hex(ListCurv.index('samplesBuffer'))+block_hex
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
recv_msg = self.ser.read(1+1+2+1+2+16384+1) #Address+Command+Size+ID+Block_idx+data+checksum
val = []
try:
for k in range(7,len(recv_msg)-1,4):
val.extend(struct.unpack('f',recv_msg[k:k+4]))
except:
pass
return val
def Send_fullwfmRef_Curve(self,block_idx,data):
block_hex = struct.pack('>H',block_idx).decode('ISO-8859-1')
val = []
for k in range(0,len(data)):
val.append(self.float_to_hex(float(data[k])))
payload_size = struct.pack('>H', (len(val)*4)+3).decode('ISO-8859-1')
curva_hex = ''.join(val)
send_packet = self.ComSendWfmRef+payload_size+self.index_to_hex(ListCurv.index('fullwfmRef_Curve'))+block_hex+curva_hex
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
def Recv_fullwfmRef_Curve(self,block_idx):
block_hex = struct.pack('>H',block_idx).decode('ISO-8859-1')
payload_size = self.size_to_hex(1+2) #Payload: ID+Block_index
send_packet = self.ComRequestCurve+payload_size+self.index_to_hex(ListCurv.index('fullwfmRef_Curve'))+block_hex
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
recv_msg = self.ser.read(1+1+2+1+2+16384+1) #Address+Command+Size+ID+Block_idx+data+checksum
val = []
for k in range(7,len(recv_msg)-1,4):
val.append(struct.unpack('f',recv_msg[k:k+4]))
return val
def Recv_samplesBuffer_blocks(self,block_idx):
block_hex = struct.pack('>H',block_idx).decode('ISO-8859-1')
payload_size = self.size_to_hex(1+2) #Payload: ID+Block_index
send_packet = self.ComRequestCurve+payload_size+self.index_to_hex(ListCurv.index('samplesBuffer_blocks'))+block_hex
send_msg = self.checksum(self.SlaveAdd+send_packet)
#t0 = time.time()
self.ser.write(send_msg.encode('ISO-8859-1'))
recv_msg = self.ser.read(1+1+2+1+2+1024+1) #Address+Command+Size+ID+Block_idx+data+checksum
#print(time.time()-t0)
#print(recv_msg)
val = []
for k in range(7,len(recv_msg)-1,4):
val.extend(struct.unpack('f',recv_msg[k:k+4]))
return val
def Recv_samplesBuffer_allblocks(self):
buff = []
#self.DisableSamplesBuffer()
for i in range(0,16):
#t0 = time.time()
buff.extend(self.Recv_samplesBuffer_blocks(i))
#print(time.time()-t0)
#self.EnableSamplesBuffer()
return buff
def read_curve_block(self,curve_id,block_id):
block_hex = struct.pack('>H',block_id).decode('ISO-8859-1')
payload_size = self.size_to_hex(1+2) #Payload: curve_id + block_id
send_packet = self.ComRequestCurve+payload_size+self.index_to_hex(curve_id)+block_hex
send_msg = self.checksum(self.SlaveAdd+send_packet)
#t0 = time.time()
self.ser.reset_input_buffer()
self.ser.write(send_msg.encode('ISO-8859-1'))
recv_msg = self.ser.read(1+1+2+1+2+size_curve_block[curve_id]+1) #Address+Command+Size+ID+Block_idx+data+checksum
#print(time.time()-t0)
#print(recv_msg)
val = []
for k in range(7,len(recv_msg)-1,4):
val.extend(struct.unpack('f',recv_msg[k:k+4]))
return val
def write_curve_block(self,curve_id,block_id,data):
block_hex = struct.pack('>H',block_id).decode('ISO-8859-1')
val = []
for k in range(0,len(data)):
val.append(self.float_to_hex(float(data[k])))
payload_size = struct.pack('>H', (len(val)*4)+3).decode('ISO-8859-1')
curva_hex = ''.join(val)
send_packet = self.ComSendWfmRef+payload_size+self.index_to_hex(curve_id)+block_hex+curva_hex
send_msg = self.checksum(self.SlaveAdd+send_packet)
self.ser.write(send_msg.encode('ISO-8859-1'))
return self.ser.read(5)
def write_wfmref(self,curve,data):
#curve = ListCurv_v2_1.index('wfmref')
block_size = int(size_curve_block[curve]/4)
print(block_size)
blocks = [data[x:x+block_size] for x in range(0, len(data), block_size)]
ps_status = self.read_ps_status()
wfmref_selected = self.read_bsmp_variable(14,'uint16_t')
if( (wfmref_selected == curve) and (ps_status['state'] == 'RmpWfm' or ps_status['state'] == 'MigWfm') ):
print("\n The specified curve ID is currently selected and PS is on " + ps_status['state'] + " state. Choose a different curve ID to proceed.\n")
else:
for block_id in range(len(blocks)):
self.write_curve_block(curve, block_id, blocks[block_id])
print(blocks[block_id])
def read_buf_samples_ctom(self):
buf = []
curve_id = ListCurv_v2_1.index('buf_samples_ctom')
ps_status = self.read_ps_status()
if ps_status['model'] == 'FBP':
for i in range(num_blocks_curves_fbp[curve_id]):
buf.extend(self.read_curve_block(curve_id,i))
else:
for i in range(num_blocks_curves_fax[curve_id]):
buf.extend(self.read_curve_block(curve_id,i))
return buf
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
======================================================================
Funções Serial
======================================================================
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
def Connect(self,port='COM2',baud=6000000):
try:
SerialDRS.ser = serial.Serial(port,baud,timeout=1) #port format should be 'COM'+number
return True
except:
return False
def Disconnect(self):
if (self.ser.isOpen()):
try:
self.ser.close()
return True
except:
return False
def SetSlaveAdd(self,address):
self.SlaveAdd = struct.pack('B',address).decode('ISO-8859-1')
def GetSlaveAdd(self):
return struct.unpack('B',self.SlaveAdd.encode())[0]
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
======================================================================
Funções auxiliares
======================================================================
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
def read_vars_common(self, print_all = False):
loop_state = ["Closed Loop","Open Loop"]
ps_status = self.read_ps_status()
if ps_status['open_loop'] == 0:
if (ps_status['model'] == 'FAC_ACDC') or (ps_status['model'] == 'FAC_2S_ACDC') or (ps_status['model'] == 'FAC_2P4S_ACDC'):
setpoint_unit = " V"
else:
setpoint_unit = " A"
else:
setpoint_unit = " %"
print("\nPS Model: " + ps_status['model'])
print("State: " + ps_status['state'])
print("Loop State: " + loop_state[ps_status['open_loop']])
print("\nSetpoint: " + str(round(self.read_bsmp_variable(1,'float'),3)) + setpoint_unit)
print("Reference: " + str(round(self.read_bsmp_variable(2,'float'),3)) + setpoint_unit)
if print_all:
print(self.read_ps_status())
print("\nCounter set_slowref: " + str(round(self.read_bsmp_variable(4,'uint32_t'),3)))
print("Counter sync pulse: " + str(round(self.read_bsmp_variable(5,'uint32_t'),3)))
self.get_siggen_vars()
self.get_wfmref_vars(0)
self.get_wfmref_vars(1)
self.get_scope_vars()
def decode_interlocks(self,reg_interlocks,list_interlocks):
active_interlocks = []
for i in range(32):
if(reg_interlocks & (1 << i)):
active_interlocks.append(list_interlocks[i])
print('\t' + list_interlocks[i])
return active_interlocks
def read_vars_fbp(self, n = 1, dt = 0.5):
try:
for i in range(n):
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fbp_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fbp_hard_interlocks)
print("\nLoad Current: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " A")
print("Load Voltage: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " V")
print("Load Resistance: " + str(abs(round(self.read_bsmp_variable(34,'float') / self.read_bsmp_variable(33,'float'),3))) + " Ohm")
print("Load Power: " + str(abs(round(self.read_bsmp_variable(34,'float') * self.read_bsmp_variable(33,'float'),3))) + " W")
print("DC-Link Voltage: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " V")
print("Heat-Sink Temp: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " °C")
print("Duty-Cycle: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " %")
time.sleep(dt)
except:
pass
def read_vars_fbp_dclink(self, n = 1, dt = 0.5):
try:
for i in range(n):
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("\nHard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fbp_dclink_hard_interlocks)
print("\nModules status: " + str(round(self.read_bsmp_variable(33,'uint32_t'),3)))
print("DC-Link Voltage: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " V")
print("PS1 Voltage: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " V")
print("PS2 Voltage: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " V")
print("PS3 Voltage: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " V")
print("Dig Pot Tap: " + str(round(self.read_bsmp_variable(38,'uint8_t'),3)))
time.sleep(dt)
except:
pass
def read_vars_fac_acdc(self, n = 1, dt = 0.5, iib = 1):
#try:
for i in range(n):
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_acdc_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_acdc_hard_interlocks)
iib_is_itlks = self.read_bsmp_variable(45,'uint32_t')
print("\nIIB IS Interlocks: " + str(iib_is_itlks))
if(iib_is_itlks):
self.decode_interlocks(iib_is_itlks, list_fac_acdc_iib_is_interlocks)
iib_is_alarms = self.read_bsmp_variable(46,'uint32_t')
print("IIB IS Alarms: " + str(iib_is_alarms))
if(iib_is_alarms):
self.decode_interlocks(iib_is_alarms, list_fac_acdc_iib_is_alarms)
iib_cmd_itlks = self.read_bsmp_variable(57,'uint32_t')
print("\nIIB Cmd Interlocks: " + str(iib_cmd_itlks))
if(iib_cmd_itlks):
self.decode_interlocks(iib_cmd_itlks, list_fac_acdc_iib_cmd_interlocks)
iib_cmd_alarms = self.read_bsmp_variable(58,'uint32_t')
print("IIB Cmd Alarms: " + str(iib_cmd_alarms))
if(iib_cmd_alarms):
self.decode_interlocks(iib_cmd_alarms, list_fac_acdc_iib_cmd_alarms)
print("\nCapBank Voltage: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " V")
print("Rectifier Current: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Duty-Cycle: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " %")
if(iib):
print("\nIIB IS Input Current: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " A")
print("IIB IS Input Voltage: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " V")
print("IIB IS IGBT Temp: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " °C")
print("IIB IS Driver Voltage: " + str(round(self.read_bsmp_variable(39,'float'),3)) + " V")
print("IIB IS Driver Current: " + str(round(self.read_bsmp_variable(40,'float'),3)) + " A")
print("IIB IS Inductor Temp: " + str(round(self.read_bsmp_variable(41,'float'),3)) + " °C")
print("IIB IS Heat-Sink Temp: " + str(round(self.read_bsmp_variable(42,'float'),3)) + " °C")
print("IIB IS Board Temp: " + str(round(self.read_bsmp_variable(43,'float'),3)) + " °C")
print("IIB IS Board RH: " + str(round(self.read_bsmp_variable(44,'float'),3)) + " %")
print("IIB IS Interlocks: " + str(round(self.read_bsmp_variable(45,'uint32_t'),3)))
print("IIB IS Alarms: " + str(round(self.read_bsmp_variable(46,'uint32_t'),3)))
print("\nIIB Cmd Load Voltage: " + str(round(self.read_bsmp_variable(47,'float'),3)) + " V")
print("IIB Cmd CapBank Voltage: " + str(round(self.read_bsmp_variable(48,'float'),3)) + " V")
print("IIB Cmd Rectifier Inductor Temp: " + str(round(self.read_bsmp_variable(49,'float'),3)) + " °C")
print("IIB Cmd Rectifier Heat-Sink Temp: " + str(round(self.read_bsmp_variable(50,'float'),3)) + " °C")
print("IIB Cmd External Boards Voltage: " + str(round(self.read_bsmp_variable(51,'float'),3)) + " V")
print("IIB Cmd Auxiliary Board Current: " + str(round(self.read_bsmp_variable(52,'float'),3)) + " A")
print("IIB Cmd IDB Board Current: " + str(round(self.read_bsmp_variable(53,'float'),3)) + " A")
print("IIB Cmd Ground Leakage Current: " + str(round(self.read_bsmp_variable(54,'float'),3)) + " A")
print("IIB Cmd Board Temp: " + str(round(self.read_bsmp_variable(55,'float'),3)) + " °C")
print("IIB Cmd Board RH: " + str(round(self.read_bsmp_variable(56,'float'),3)) + " %")
print("IIB Cmd Interlocks: " + str(round(self.read_bsmp_variable(57,'uint32_t'),3)))
print("IIB Cmd Alarms: " + str(round(self.read_bsmp_variable(58,'uint32_t'),3)))
time.sleep(dt)
#except:
# pass
def read_vars_fac_dcdc(self, n = 1, dt = 0.5, iib = 1):
try:
for i in range(n):
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
print("\nSync Pulse Counter: " + str(round(self.read_bsmp_variable(5,'uint32_t'),3)))
print("WfmRef Index: " + str( (round(self.read_bsmp_variable(20,'uint32_t'),3) - round(self.read_bsmp_variable(18,'uint32_t'),3))/2 + 1))
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_dcdc_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_dcdc_hard_interlocks)
iib_itlks = self.read_bsmp_variable(51,'uint32_t')
print("\nIIB Interlocks: " + str(iib_itlks))
if(iib_itlks):
self.decode_interlocks(iib_itlks, list_fac_dcdc_iib_interlocks)
iib_alarms = self.read_bsmp_variable(52,'uint32_t')
print("IIB Alarms: " + str(iib_alarms))
if(iib_alarms):
self.decode_interlocks(iib_alarms, list_fac_dcdc_iib_alarms)
print("\nLoad Current: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " A")
print("Load Current DCCT 1: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Load Current DCCT 2: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " A")
print("\nCapBank Voltage: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " V")
print("\nDuty-Cycle: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " %")
if(iib):
print("\nIIB CapBank Voltage: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " V")
print("IIB Input Current: " + str(round(self.read_bsmp_variable(39,'float'),3)) + " A")
print("IIB Output Current: " + str(round(self.read_bsmp_variable(40,'float'),3)) + " A")
print("IIB IGBT Leg 1 Temp: " + str(round(self.read_bsmp_variable(41,'float'),3)) + " °C")
print("IIB IGBT Leg 2 Temp: " + str(round(self.read_bsmp_variable(42,'float'),3)) + " °C")
print("IIB Inductor Temp: " + str(round(self.read_bsmp_variable(43,'float'),3)) + " °C")
print("IIB Heat-Sink Temp: " + str(round(self.read_bsmp_variable(44,'float'),3)) + " °C")
print("IIB Driver Voltage: " + str(round(self.read_bsmp_variable(45,'float'),3)) + " V")
print("IIB Driver Current 1: " + str(round(self.read_bsmp_variable(46,'float'),3)) + " A")
print("IIB Driver Current 2: " + str(round(self.read_bsmp_variable(47,'float'),3)) + " A")
print("IIB Ground Leakage Current: " + str(round(self.read_bsmp_variable(48,'float'),3)) + " A")
print("IIB Board Temp: " + str(round(self.read_bsmp_variable(49,'float'),3)) + " °C")
print("IIB Board RH: " + str(round(self.read_bsmp_variable(50,'float'),3)) + " %")
print("IIB Interlocks: " + str(round(self.read_bsmp_variable(51,'uint32_t'),3)))
print("IIB Alarms: " + str(round(self.read_bsmp_variable(52,'uint32_t'),3)))
time.sleep(dt)
except:
pass
def read_vars_fac_dcdc_ema(self, n = 1, dt = 0.5, iib = 0):
try:
for i in range(n):
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_dcdc_ema_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_dcdc_ema_hard_interlocks)
iib_itlks = self.read_bsmp_variable(49,'uint32_t')
print("IIB Interlocks: " + str(iib_itlks))
if(iib_itlks):
self.decode_interlocks(iib_itlks, list_fac_dcdc_ema_iib_interlocks)
iib_alarms = self.read_bsmp_variable(50,'uint32_t')
print("IIB Alarms: " + str(iib_alarms))
if(iib_alarms):
self.decode_interlocks(iib_alarms, list_fac_dcdc_ema_iib_alarms)
print("\nLoad Current: " + str(round(self.read_bsmp_variable(33,'float'),3)))
print("DC-Link Voltage: " + str(round(self.read_bsmp_variable(34,'float'),3)))
print("\nDuty-Cycle: " + str(round(self.read_bsmp_variable(35,'float'),3)))
if(iib):
print("\nIIB Input Voltage: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " V")
print("IIB Input Current: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " A")
print("IIB Output Current: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " A")
print("IIB IGBT 1 Temp: " + str(round(self.read_bsmp_variable(39,'float'),3)) + " °C")
print("IIB IGBT 2 Temp: " + str(round(self.read_bsmp_variable(40,'float'),3)) + " °C")
print("IIB Inductor Temp: " + str(round(self.read_bsmp_variable(41,'float'),3)) + " °C")
print("IIB Heat-Sink Temp: " + str(round(self.read_bsmp_variable(42,'float'),3)) + " °C")
print("IIB Driver Voltage: " + str(round(self.read_bsmp_variable(43,'float'),3)) + " V")
print("IIB Driver Current 1: " + str(round(self.read_bsmp_variable(44,'float'),3)) + " A")
print("IIB Driver Current 2: " + str(round(self.read_bsmp_variable(45,'float'),3)) + " A")
print("IIB Ground Leakage Current: " + str(round(self.read_bsmp_variable(46,'float'),3)) + " A")
print("IIB Board Temp: " + str(round(self.read_bsmp_variable(47,'float'),3)) + " °C")
print("IIB Board RH: " + str(round(self.read_bsmp_variable(48,'float'),3)) + " %")
print("IIB Interlocks: " + str(round(self.read_bsmp_variable(49,'uint32_t'),3)))
print("IIB Alarms: " + str(round(self.read_bsmp_variable(50,'uint32_t'),3)))
time.sleep(dt)
except:
pass
def read_vars_fac_2s_acdc(self, n = 1, add_mod_a = 2, dt = 0.5, iib = 0):
old_add = self.GetSlaveAdd()
try:
for i in range(n):
self.SetSlaveAdd(add_mod_a)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
print('\n *** MODULE A ***')
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_2s_acdc_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_2s_acdc_hard_interlocks)
iib_is_itlks = self.read_bsmp_variable(45,'uint32_t')
print("\nIIB IS Interlocks: " + str(iib_is_itlks))
if(iib_is_itlks):
self.decode_interlocks(iib_is_itlks, list_fac_2s_acdc_iib_is_interlocks)
iib_is_alarms = self.read_bsmp_variable(46,'uint32_t')
print("IIB IS Alarms: " + str(iib_is_alarms))
if(iib_is_alarms):
self.decode_interlocks(iib_is_alarms, list_fac_2s_acdc_iib_is_alarms)
iib_cmd_itlks = self.read_bsmp_variable(57,'uint32_t')
print("\nIIB Cmd Interlocks: " + str(iib_cmd_itlks))
if(iib_cmd_itlks):
self.decode_interlocks(iib_cmd_itlks, list_fac_2s_acdc_iib_cmd_interlocks)
iib_cmd_alarms = self.read_bsmp_variable(58,'uint32_t')
print("IIB Cmd Alarms: " + str(iib_cmd_alarms))
if(iib_cmd_alarms):
self.decode_interlocks(iib_cmd_alarms, list_fac_2s_acdc_iib_cmd_alarms)
print("\nCapBank Voltage: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " V")
print("Rectifier Current: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Duty-Cycle: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " %")
if(iib):
print("\nIIB IS Input Current: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " A")
print("IIB IS Input Voltage: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " V")
print("IIB IS IGBT Temp: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " °C")
print("IIB IS Driver Voltage: " + str(round(self.read_bsmp_variable(39,'float'),3)) + " V")
print("IIB IS Driver Current: " + str(round(self.read_bsmp_variable(40,'float'),3)) + " A")
print("IIB IS Inductor Temp: " + str(round(self.read_bsmp_variable(41,'float'),3)) + " °C")
print("IIB IS Heat-Sink Temp: " + str(round(self.read_bsmp_variable(42,'float'),3)) + " °C")
print("IIB IS Board Temp: " + str(round(self.read_bsmp_variable(43,'float'),3)) + " °C")
print("IIB IS Board RH: " + str(round(self.read_bsmp_variable(44,'float'),3)) + " %")
print("IIB IS Interlocks: " + str(round(self.read_bsmp_variable(45,'uint32_t'),3)))
print("IIB IS Alarms: " + str(round(self.read_bsmp_variable(46,'uint32_t'),3)))
print("\nIIB Cmd Load Voltage: " + str(round(self.read_bsmp_variable(47,'float'),3)) + " V")
print("IIB Cmd CapBank Voltage: " + str(round(self.read_bsmp_variable(48,'float'),3)) + " V")
print("IIB Cmd Rectifier Inductor Temp: " + str(round(self.read_bsmp_variable(49,'float'),3)) + " °C")
print("IIB Cmd Rectifier Heat-Sink Temp: " + str(round(self.read_bsmp_variable(50,'float'),3)) + " °C")
print("IIB Cmd External Boards Voltage: " + str(round(self.read_bsmp_variable(51,'float'),3)) + " V")
print("IIB Cmd Auxiliary Board Current: " + str(round(self.read_bsmp_variable(52,'float'),3)) + " A")
print("IIB Cmd IDB Board Current: " + str(round(self.read_bsmp_variable(53,'float'),3)) + " A")
print("IIB Cmd Ground Leakage Current: " + str(round(self.read_bsmp_variable(54,'float'),3)) + " A")
print("IIB Cmd Board Temp: " + str(round(self.read_bsmp_variable(55,'float'),3)) + " °C")
print("IIB Cmd Board RH: " + str(round(self.read_bsmp_variable(56,'float'),3)) + " %")
print("IIB Cmd Interlocks: " + str(round(self.read_bsmp_variable(57,'uint32_t'),3)))
print("IIB Cmd Alarms: " + str(round(self.read_bsmp_variable(58,'uint32_t'),3)))
self.SetSlaveAdd(add_mod_a+1)
print('\n *** MODULE B ***')
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_2s_acdc_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_2s_acdc_hard_interlocks)
iib_is_itlks = self.read_bsmp_variable(45,'uint32_t')
print("\nIIB IS Interlocks: " + str(iib_is_itlks))
if(iib_is_itlks):
self.decode_interlocks(iib_is_itlks, list_fac_2s_acdc_iib_is_interlocks)
iib_is_alarms = self.read_bsmp_variable(46,'uint32_t')
print("IIB IS Alarms: " + str(iib_is_alarms))
if(iib_is_alarms):
self.decode_interlocks(iib_is_alarms, list_fac_2s_acdc_iib_is_alarms)
iib_cmd_itlks = self.read_bsmp_variable(57,'uint32_t')
print("\nIIB Cmd Interlocks: " + str(iib_cmd_itlks))
if(iib_cmd_itlks):
self.decode_interlocks(iib_cmd_itlks, list_fac_2s_acdc_iib_cmd_interlocks)
iib_cmd_alarms = self.read_bsmp_variable(58,'uint32_t')
print("IIB Cmd Alarms: " + str(iib_cmd_alarms))
if(iib_cmd_alarms):
self.decode_interlocks(iib_cmd_alarms, list_fac_2s_acdc_iib_cmd_alarms)
print("\nCapBank Voltage: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " V")
print("Rectifier Current: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Duty-Cycle: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " %")
if(iib):
print("\nIIB IS Input Current: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " A")
print("IIB IS Input Voltage: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " V")
print("IIB IS IGBT Temp: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " °C")
print("IIB IS Driver Voltage: " + str(round(self.read_bsmp_variable(39,'float'),3)) + " V")
print("IIB IS Driver Current: " + str(round(self.read_bsmp_variable(40,'float'),3)) + " A")
print("IIB IS Inductor Temp: " + str(round(self.read_bsmp_variable(41,'float'),3)) + " °C")
print("IIB IS Heat-Sink Temp: " + str(round(self.read_bsmp_variable(42,'float'),3)) + " °C")
print("IIB IS Board Temp: " + str(round(self.read_bsmp_variable(43,'float'),3)) + " °C")
print("IIB IS Board RH: " + str(round(self.read_bsmp_variable(44,'float'),3)) + " %")
print("IIB IS Interlocks: " + str(round(self.read_bsmp_variable(45,'uint32_t'),3)))
print("IIB IS Alarms: " + str(round(self.read_bsmp_variable(46,'uint32_t'),3)))
print("\nIIB Cmd Load Voltage: " + str(round(self.read_bsmp_variable(47,'float'),3)) + " V")
print("IIB Cmd CapBank Voltage: " + str(round(self.read_bsmp_variable(48,'float'),3)) + " V")
print("IIB Cmd Rectifier Inductor Temp: " + str(round(self.read_bsmp_variable(49,'float'),3)) + " °C")
print("IIB Cmd Rectifier Heat-Sink Temp: " + str(round(self.read_bsmp_variable(50,'float'),3)) + " °C")
print("IIB Cmd External Boards Voltage: " + str(round(self.read_bsmp_variable(51,'float'),3)) + " V")
print("IIB Cmd Auxiliary Board Current: " + str(round(self.read_bsmp_variable(52,'float'),3)) + " A")
print("IIB Cmd IDB Board Current: " + str(round(self.read_bsmp_variable(53,'float'),3)) + " A")
print("IIB Cmd Ground Leakage Current: " + str(round(self.read_bsmp_variable(54,'float'),3)) + " A")
print("IIB Cmd Board Temp: " + str(round(self.read_bsmp_variable(55,'float'),3)) + " °C")
print("IIB Cmd Board RH: " + str(round(self.read_bsmp_variable(56,'float'),3)) + " %")
print("IIB Cmd Interlocks: " + str(round(self.read_bsmp_variable(57,'uint32_t'),3)))
print("IIB Cmd Alarms: " + str(round(self.read_bsmp_variable(58,'uint32_t'),3)))
time.sleep(dt)
self.SetSlaveAdd(old_add)
except:
self.SetSlaveAdd(old_add)
def read_vars_fac_2s_dcdc(self, n = 1, com_add = 1, dt = 0.5, iib = 0):
old_add = self.GetSlaveAdd()
iib_offset = 14*(iib-1)
try:
for i in range(n):
self.SetSlaveAdd(com_add)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
print("\nSync Pulse Counter: " + str(round(self.read_bsmp_variable(5,'uint32_t'),3)))
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_2s_dcdc_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_2s_dcdc_hard_interlocks)
print("\nLoad Current: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " A")
print("Load Current DCCT 1: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Load Current DCCT 2: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " A")
print("\nCapBank Voltage 1: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " V")
print("CapBank Voltage 2: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " V")
print("\nDuty-Cycle 1: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " %")
print("Duty-Cycle 2: " + str(round(self.read_bsmp_variable(39,'float'),3)) + " %")
if(iib):
print("\nIIB CapBank Voltage: " + str(round(self.read_bsmp_variable(40 + iib_offset,'float'),3)) + " V")
print("IIB Input Current: " + str(round(self.read_bsmp_variable(41 + iib_offset,'float'),3)) + " A")
print("IIB Output Current: " + str(round(self.read_bsmp_variable(42 + iib_offset,'float'),3)) + " A")
print("IIB IGBT Leg 1 Temp: " + str(round(self.read_bsmp_variable(43 + iib_offset,'float'),3)) + " °C")
print("IIB IGBT Leg 2 Temp: " + str(round(self.read_bsmp_variable(44 + iib_offset,'float'),3)) + " °C")
print("IIB Inductor Temp: " + str(round(self.read_bsmp_variable(45 + iib_offset,'float'),3)) + " °C")
print("IIB Heat-Sink Temp: " + str(round(self.read_bsmp_variable(46 + iib_offset,'float'),3)) + " °C")
print("IIB Driver Voltage: " + str(round(self.read_bsmp_variable(47 + iib_offset,'float'),3)) + " V")
print("IIB Driver Current 1: " + str(round(self.read_bsmp_variable(48 + iib_offset,'float'),3)) + " A")
print("IIB Driver Current 2: " + str(round(self.read_bsmp_variable(49 + iib_offset,'float'),3)) + " A")
print("IIB Board Temp: " + str(round(self.read_bsmp_variable(50 + iib_offset,'float'),3)) + " °C")
print("IIB Board RH: " + str(round(self.read_bsmp_variable(51 + iib_offset,'float'),3)) + " %")
iib_itlks = self.read_bsmp_variable(52 + iib_offset,'uint32_t')
print("\nIIB Interlocks: " + str(iib_itlks))
if(iib_itlks):
self.decode_interlocks(iib_itlks, list_fac_2s_dcdc_iib_interlocks)
iib_alarms = self.read_bsmp_variable(53 + iib_offset,'uint32_t')
print("IIB Alarms: " + str(iib_alarms))
if(iib_alarms):
self.decode_interlocks(iib_alarms, list_fac_2s_dcdc_iib_alarms)
time.sleep(dt)
self.SetSlaveAdd(old_add)
except:
self.SetSlaveAdd(old_add)
def read_vars_fac_2p4s_acdc(self, n = 1, add_mod_a = 1, dt = 0.5, iib = 0):
self.read_vars_fac_2s_acdc(n, add_mod_a, dt, iib)
def read_vars_fac_2p4s_dcdc(self, n = 1, com_add = 1, dt = 0.5, iib = 0):
old_add = self.GetSlaveAdd()
try:
for i in range(n):
self.SetSlaveAdd(com_add)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
print("\nSync Pulse Counter: " + str(round(self.read_bsmp_variable(5,'uint32_t'),3)))
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_2p4s_dcdc_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_2p4s_dcdc_hard_interlocks)
print("\nLoad Current: " + str(round(self.read_bsmp_variable(33,'float'),3)))
print("Load Current DCCT 1: " + str(round(self.read_bsmp_variable(34,'float'),3)))
print("Load Current DCCT 2: " + str(round(self.read_bsmp_variable(35,'float'),3)))
print("\nArm Current 1: " + str(round(self.read_bsmp_variable(36,'float'),3)))
print("Arm Current 2: " + str(round(self.read_bsmp_variable(37,'float'),3)))
print("\nCapBank Voltage 1: " + str(round(self.read_bsmp_variable(38,'float'),3)))
print("CapBank Voltage 2: " + str(round(self.read_bsmp_variable(39,'float'),3)))
print("CapBank Voltage 3: " + str(round(self.read_bsmp_variable(40,'float'),3)))
print("CapBank Voltage 4: " + str(round(self.read_bsmp_variable(41,'float'),3)))
print("CapBank Voltage 5: " + str(round(self.read_bsmp_variable(42,'float'),3)))
print("CapBank Voltage 6: " + str(round(self.read_bsmp_variable(43,'float'),3)))
print("CapBank Voltage 7: " + str(round(self.read_bsmp_variable(44,'float'),3)))
print("CapBank Voltage 8: " + str(round(self.read_bsmp_variable(45,'float'),3)))
print("\nDuty-Cycle 1: " + str(round(self.read_bsmp_variable(46,'float'),3)))
print("Duty-Cycle 2: " + str(round(self.read_bsmp_variable(47,'float'),3)))
print("Duty-Cycle 3: " + str(round(self.read_bsmp_variable(48,'float'),3)))
print("Duty-Cycle 4: " + str(round(self.read_bsmp_variable(49,'float'),3)))
print("Duty-Cycle 5: " + str(round(self.read_bsmp_variable(50,'float'),3)))
print("Duty-Cycle 6: " + str(round(self.read_bsmp_variable(51,'float'),3)))
print("Duty-Cycle 7: " + str(round(self.read_bsmp_variable(52,'float'),3)))
print("Duty-Cycle 8: " + str(round(self.read_bsmp_variable(53,'float'),3)))
if(iib):
print("\nIIB CapBank Voltage: " + str(round(self.read_bsmp_variable(54,'float'),3)) + " V")
print("IIB Input Current: " + str(round(self.read_bsmp_variable(55, 'float'),3)) + " A")
print("IIB Output Current: " + str(round(self.read_bsmp_variable(56,'float'),3)) + " A")
print("IIB IGBT Leg 1 Temp: " + str(round(self.read_bsmp_variable(57,'float'),3)) + " °C")
print("IIB IGBT Leg 2 Temp: " + str(round(self.read_bsmp_variable(58,'float'),3)) + " °C")
print("IIB Inductor Temp: " + str(round(self.read_bsmp_variable(59,'float'),3)) + " °C")
print("IIB Heat-Sink Temp: " + str(round(self.read_bsmp_variable(60,'float'),3)) + " °C")
print("IIB Driver Voltage: " + str(round(self.read_bsmp_variable(61,'float'),3)) + " V")
print("IIB Driver Current 1: " + str(round(self.read_bsmp_variable(62,'float'),3)) + " A")
print("IIB Driver Current 2: " + str(round(self.read_bsmp_variable(63,'float'),3)) + " A")
print("IIB Board Temp: " + str(round(self.read_bsmp_variable(64,'float'),3)) + " °C")
print("IIB Board RH: " + str(round(self.read_bsmp_variable(65,'float'),3)) + " %")
iib_itlks = self.read_bsmp_variable(66,'uint32_t')
print("\nIIB Interlocks: " + str(iib_itlks))
if(iib_itlks):
self.decode_interlocks(iib_itlks, list_fac_2p4s_dcdc_iib_interlocks)
iib_alarms = self.read_bsmp_variable(67,'uint32_t')
print("IIB Alarms: " + str(iib_alarms))
if(iib_alarms):
self.decode_interlocks(iib_alarms, list_fac_2p4s_dcdc_iib_alarms)
print("\nIIB CapBank Voltage: " + str(round(self.read_bsmp_variable(68,'float'),3)) + " V")
print("IIB Input Current: " + str(round(self.read_bsmp_variable(69,'float'),3)) + " A")
print("IIB Output Current: " + str(round(self.read_bsmp_variable(70,'float'),3)) + " A")
print("IIB IGBT Leg 1 Temp: " + str(round(self.read_bsmp_variable(71,'float'),3)) + " °C")
print("IIB IGBT Leg 2 Temp: " + str(round(self.read_bsmp_variable(72,'float'),3)) + " °C")
print("IIB Inductor Temp: " + str(round(self.read_bsmp_variable(73,'float'),3)) + " °C")
print("IIB Heat-Sink Temp: " + str(round(self.read_bsmp_variable(74,'float'),3)) + " °C")
print("IIB Driver Voltage: " + str(round(self.read_bsmp_variable(75,'float'),3)) + " V")
print("IIB Driver Current 1: " + str(round(self.read_bsmp_variable(76,'float'),3)) + " A")
print("IIB Driver Current 2: " + str(round(self.read_bsmp_variable(77,'float'),3)) + " A")
print("IIB Board Temp: " + str(round(self.read_bsmp_variable(78,'float'),3)) + " °C")
print("IIB Board RH: " + str(round(self.read_bsmp_variable(79,'float'),3)) + " %")
iib_itlks = self.read_bsmp_variable(80,'uint32_t')
print("\nIIB Interlocks: " + str(iib_itlks))
if(iib_itlks):
self.decode_interlocks(iib_itlks, list_fac_2p4s_dcdc_iib_interlocks)
iib_alarms = self.read_bsmp_variable(81,'uint32_t')
print("IIB Alarms: " + str(iib_alarms))
if(iib_alarms):
self.decode_interlocks(iib_alarms, list_fac_2p4s_dcdc_iib_alarms)
time.sleep(dt)
self.SetSlaveAdd(old_add)
except:
self.SetSlaveAdd(old_add)
def read_vars_fap(self, n = 1, com_add = 1, dt = 0.5, iib = 1):
old_add = self.GetSlaveAdd()
try:
for i in range(n):
self.SetSlaveAdd(com_add)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fap_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fap_hard_interlocks)
iib_itlks = self.read_bsmp_variable(56,'uint32_t')
print("\nIIB Interlocks: " + str(iib_itlks))
if(iib_itlks):
self.decode_interlocks(iib_itlks, list_fap_iib_interlocks)
iib_alarms = self.read_bsmp_variable(57,'uint32_t')
print("\nIIB Alarms: " + str(iib_alarms))
if(iib_alarms):
self.decode_interlocks(iib_alarms, list_fap_iib_alarms)
iload = self.read_bsmp_variable(33,'float')
print("\nLoad Current: " + str(round(iload,3)) + " A")
print("Load Current DCCT 1: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Load Current DCCT 2: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " A")
if not iload == 0:
print("\nLoad Resistance: " + str(abs(round(self.read_bsmp_variable(43,'float') / iload ,3))) + " Ohm")
else:
print("\nLoad Resistance: 0 Ohm")
print("Load Power: " + str(abs(round(self.read_bsmp_variable(43,'float') * self.read_bsmp_variable(33,'float'),3))) + " W")
print("\nDC-Link Voltage: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " V")
print("\nIGBT 1 Current: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " A")
print("IGBT 2 Current: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " A")
print("\nIGBT 1 Duty-Cycle: " + str(round(self.read_bsmp_variable(39,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle: " + str(round(self.read_bsmp_variable(40,'float'),3)) + " %")
print("Differential Duty-Cycle: " + str(round(self.read_bsmp_variable(41,'float'),3)) + " %")
if(iib):
print("\nIIB Input Voltage: " + str(round(self.read_bsmp_variable(42,'float'),3)) + " V")
print("IIB Output Voltage: " + str(round(self.read_bsmp_variable(43,'float'),3)) + " V")
print("IIB IGBT 1 Current: " + str(round(self.read_bsmp_variable(44,'float'),3)) + " A")
print("IIB IGBT 2 Current: " + str(round(self.read_bsmp_variable(45,'float'),3)) + " A")
print("IIB IGBT 1 Temp: " + str(round(self.read_bsmp_variable(46,'float'),3)) + " °C")
print("IIB IGBT 2 Temp: " + str(round(self.read_bsmp_variable(47,'float'),3)) + " °C")
print("IIB Driver Voltage: " + str(round(self.read_bsmp_variable(48,'float'),3)) + " V")
print("IIB Driver Current 1: " + str(round(self.read_bsmp_variable(49,'float'),3)) + " A")
print("IIB Driver Current 2: " + str(round(self.read_bsmp_variable(50,'float'),3)) + " A")
print("IIB Inductor Temp: " + str(round(self.read_bsmp_variable(51,'float'),3)) + " °C")
print("IIB Heat-Sink Temp: " + str(round(self.read_bsmp_variable(52,'float'),3)) + " °C")
print("IIB Ground Leakage Current: " + str(round(self.read_bsmp_variable(53,'float'),3)) + " A")
print("IIB Board Temp: " + str(round(self.read_bsmp_variable(54,'float'),3)) + " °C")
print("IIB Board RH: " + str(round(self.read_bsmp_variable(55,'float'),3)) + " %")
print("IIB Interlocks: " + str(round(self.read_bsmp_variable(56,'uint32_t'),3)))
print("IIB Alarms: " + str(round(self.read_bsmp_variable(57,'uint32_t'),3)))
time.sleep(dt)
self.SetSlaveAdd(old_add)
except:
self.SetSlaveAdd(old_add)
def read_vars_fap_4p(self, n = 1, com_add = 1, dt = 0.5, iib = 0):
old_add = self.GetSlaveAdd()
iib_offset = 16*(iib-1)
try:
for i in range(n):
self.SetSlaveAdd(com_add)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fap_4p_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fap_4p_hard_interlocks)
for j in range(4):
iib_itlks = self.read_bsmp_variable(72 + j*16,'uint32_t')
print("\nIIB " + str(j+1) + " Interlocks: " + str(iib_itlks))
if(iib_itlks):
self.decode_interlocks(iib_itlks, list_fap_4p_iib_interlocks)
iib_alarms = self.read_bsmp_variable(73 + j*16,'uint32_t')
print("IIB " + str(j+1) + " Alarms: " + str(iib_alarms))
if(iib_alarms):
self.decode_interlocks(iib_alarms, list_fap_4p_iib_alarms)
print("\n Mean Load Current: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " A")
print("Load Current 1: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Load Current 2: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " A")
print("Load Voltage: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " V")
print("\nIGBT 1 Current Mod 1: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " A")
print("IGBT 2 Current Mod 1: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " A")
print("IGBT 1 Current Mod 2: " + str(round(self.read_bsmp_variable(39,'float'),3)) + " A")
print("IGBT 2 Current Mod 2: " + str(round(self.read_bsmp_variable(40,'float'),3)) + " A")
print("IGBT 1 Current Mod 3: " + str(round(self.read_bsmp_variable(41,'float'),3)) + " A")
print("IGBT 2 Current Mod 3: " + str(round(self.read_bsmp_variable(42,'float'),3)) + " A")
print("IGBT 1 Current Mod 4: " + str(round(self.read_bsmp_variable(43,'float'),3)) + " A")
print("IGBT 2 Current Mod 4: " + str(round(self.read_bsmp_variable(44,'float'),3)) + " A")
print("\nDC-Link Voltage Mod 1: " + str(round(self.read_bsmp_variable(45,'float'),3)) + " V")
print("DC-Link Voltage Mod 2: " + str(round(self.read_bsmp_variable(46,'float'),3)) + " V")
print("DC-Link Voltage Mod 3: " + str(round(self.read_bsmp_variable(47,'float'),3)) + " V")
print("DC-Link Voltage Mod 4: " + str(round(self.read_bsmp_variable(48,'float'),3)) + " V")
print("\nMean Duty-Cycle: " + str(round(self.read_bsmp_variable(49,'float'),3)) + " %")
print("IGBT 1 Duty-Cycle Mod 1: " + str(round(self.read_bsmp_variable(50,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle Mod 1: " + str(round(self.read_bsmp_variable(51,'float'),3)) + " %")
print("IGBT 1 Duty-Cycle Mod 2: " + str(round(self.read_bsmp_variable(52,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle Mod 2: " + str(round(self.read_bsmp_variable(53,'float'),3)) + " %")
print("IGBT 1 Duty-Cycle Mod 3: " + str(round(self.read_bsmp_variable(54,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle Mod 3: " + str(round(self.read_bsmp_variable(55,'float'),3)) + " %")
print("IGBT 1 Duty-Cycle Mod 4: " + str(round(self.read_bsmp_variable(56,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle Mod 4: " + str(round(self.read_bsmp_variable(57,'float'),3)) + " %")
if not iib == 0:
print("\nIIB " + str(iib) + " Input Voltage: " + str(round(self.read_bsmp_variable(58 + iib_offset,'float'),3)) + " V")
print("IIB " + str(iib) + " Output Voltage: " + str(round(self.read_bsmp_variable(59 + iib_offset,'float'),3)) + " V")
print("IIB " + str(iib) + " IGBT 1 Current: " + str(round(self.read_bsmp_variable(60 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " IGBT 2 Current: " + str(round(self.read_bsmp_variable(61 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " IGBT 1 Temp: " + str(round(self.read_bsmp_variable(62 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " IGBT 2 Temp: " + str(round(self.read_bsmp_variable(63 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " Driver Voltage: " + str(round(self.read_bsmp_variable(64 + iib_offset,'float'),3)) + " V")
print("IIB " + str(iib) + " Driver Current 1: " + str(round(self.read_bsmp_variable(65 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " Driver Current 2: " + str(round(self.read_bsmp_variable(66 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " Inductor Temp: " + str(round(self.read_bsmp_variable(67 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " Heat-Sink Temp: " + str(round(self.read_bsmp_variable(68 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " Ground Leakage Current: " + str(round(self.read_bsmp_variable(69 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " Board Temp: " + str(round(self.read_bsmp_variable(70 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " Board RH: " + str(round(self.read_bsmp_variable(71 + iib_offset,'float'),3)) + " %")
print("IIB " + str(iib) + " Interlocks: " + str(round(self.read_bsmp_variable(72 + iib_offset,'uint32_t'),3)))
print("IIB " + str(iib) + " Alarms: " + str(round(self.read_bsmp_variable(73 + iib_offset,'uint32_t'),3)))
time.sleep(dt)
self.SetSlaveAdd(old_add)
except Exception as e:
print(e)
self.SetSlaveAdd(old_add)
def read_vars_fap_2p2s(self, n = 1, com_add = 1, dt = 0.5, iib = 0):
old_add = self.GetSlaveAdd()
iib_offset = 16*(iib-1)
try:
for i in range(n):
self.SetSlaveAdd(com_add)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fap_2p2s_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fap_2p2s_hard_interlocks)
for j in range(4):
iib_itlks = self.read_bsmp_variable(78 + j*16,'uint32_t')
print("\nIIB " + str(j+1) + " Interlocks: " + str(iib_itlks))
if(iib_itlks):
self.decode_interlocks(iib_itlks, list_fap_4p_iib_interlocks)
iib_alarms = self.read_bsmp_variable(79 + j*16,'uint32_t')
print("IIB " + str(j+1) + " Alarms: " + str(iib_alarms))
if(iib_alarms):
self.decode_interlocks(iib_alarms, list_fap_4p_iib_alarms)
print("\nMean Load Current: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " A")
print("Load Current 1: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Load Current 2: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " A")
print("\nArm Current 1: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " A")
print("Arm Current 2: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " A")
print("\nIGBT 1 Current Mod 1: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " A")
print("IGBT 2 Current Mod 1: " + str(round(self.read_bsmp_variable(39,'float'),3)) + " A")
print("IGBT 1 Current Mod 2: " + str(round(self.read_bsmp_variable(40,'float'),3)) + " A")
print("IGBT 2 Current Mod 2: " + str(round(self.read_bsmp_variable(41,'float'),3)) + " A")
print("IGBT 1 Current Mod 3: " + str(round(self.read_bsmp_variable(42,'float'),3)) + " A")
print("IGBT 2 Current Mod 3: " + str(round(self.read_bsmp_variable(43,'float'),3)) + " A")
print("IGBT 1 Current Mod 4: " + str(round(self.read_bsmp_variable(44,'float'),3)) + " A")
print("IGBT 2 Current Mod 4: " + str(round(self.read_bsmp_variable(45,'float'),3)) + " A")
print("\nDC-Link Voltage Mod 1: " + str(round(self.read_bsmp_variable(50,'float'),3)) + " V")
print("DC-Link Voltage Mod 2: " + str(round(self.read_bsmp_variable(51,'float'),3)) + " V")
print("DC-Link Voltage Mod 3: " + str(round(self.read_bsmp_variable(52,'float'),3)) + " V")
print("DC-Link Voltage Mod 4: " + str(round(self.read_bsmp_variable(53,'float'),3)) + " V")
print("\nMean Duty-Cycle: " + str(round(self.read_bsmp_variable(54,'float'),3)) + " %")
print("Differential Duty-Cycle: " + str(round(self.read_bsmp_variable(55,'float'),3)) + " %")
print("\nIGBT 1 Duty-Cycle Mod 1: " + str(round(self.read_bsmp_variable(56,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle Mod 1: " + str(round(self.read_bsmp_variable(57,'float'),3)) + " %")
print("IGBT 1 Duty-Cycle Mod 2: " + str(round(self.read_bsmp_variable(58,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle Mod 2: " + str(round(self.read_bsmp_variable(59,'float'),3)) + " %")
print("IGBT 1 Duty-Cycle Mod 3: " + str(round(self.read_bsmp_variable(60,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle Mod 3: " + str(round(self.read_bsmp_variable(61,'float'),3)) + " %")
print("IGBT 1 Duty-Cycle Mod 4: " + str(round(self.read_bsmp_variable(62,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle Mod 4: " + str(round(self.read_bsmp_variable(63,'float'),3)) + " %")
if not iib == 0:
print("\nIIB " + str(iib) + " Input Voltage: " + str(round(self.read_bsmp_variable(64 + iib_offset,'float'),3)) + " V")
print("IIB " + str(iib) + " Output Voltage: " + str(round(self.read_bsmp_variable(65 + iib_offset,'float'),3)) + " V")
print("IIB " + str(iib) + " IGBT 1 Current: " + str(round(self.read_bsmp_variable(66 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " IGBT 2 Current: " + str(round(self.read_bsmp_variable(67 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " IGBT 1 Temp: " + str(round(self.read_bsmp_variable(68 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " IGBT 2 Temp: " + str(round(self.read_bsmp_variable(69 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " Driver Voltage: " + str(round(self.read_bsmp_variable(70 + iib_offset,'float'),3)) + " V")
print("IIB " + str(iib) + " Driver Current 1: " + str(round(self.read_bsmp_variable(71 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " Driver Current 2: " + str(round(self.read_bsmp_variable(72 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " Inductor Temp: " + str(round(self.read_bsmp_variable(73 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " Heat-Sink Temp: " + str(round(self.read_bsmp_variable(74 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " Ground Leakage Current: " + str(round(self.read_bsmp_variable(75 + iib_offset,'float'),3)) + " A")
print("IIB " + str(iib) + " Board Temp: " + str(round(self.read_bsmp_variable(76 + iib_offset,'float'),3)) + " °C")
print("IIB " + str(iib) + " Board RH: " + str(round(self.read_bsmp_variable(77 + iib_offset,'float'),3)) + " %")
print("IIB " + str(iib) + " Interlocks: " + str(round(self.read_bsmp_variable(78 + iib_offset,'uint32_t'),3)))
print("IIB " + str(iib) + " Alarms: " + str(round(self.read_bsmp_variable(79 + iib_offset,'uint32_t'),3)))
time.sleep(dt)
self.SetSlaveAdd(old_add)
except Exception as e:
print(e)
self.SetSlaveAdd(old_add)
def read_vars_fap_225A(self, n = 1, com_add = 1, dt = 0.5):
old_add = self.GetSlaveAdd()
try:
for i in range(n):
self.SetSlaveAdd(com_add)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fap_225A_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fap_225A_hard_interlocks)
print("\nLoad Current: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " A")
print("\nIGBT 1 Current: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("IGBT 2 Current: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " A")
print("\nIGBT 1 Duty-Cycle: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " %")
print("IGBT 2 Duty-Cycle: " + str(round(self.read_bsmp_variable(37,'float'),3)) + " %")
print("Differential Duty-Cycle: " + str(round(self.read_bsmp_variable(38,'float'),3)) + " %")
time.sleep(dt)
self.SetSlaveAdd(old_add)
except:
self.SetSlaveAdd(old_add)
def read_vars_fbp_2s_ufjf(self, n = 1, com_add = 1, dt = 0.5):
old_add = self.GetSlaveAdd()
try:
for i in range(n):
self.SetSlaveAdd(com_add)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fbp_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fbp_hard_interlocks)
print("\nLoad Current: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " A")
print("Load Error: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("\nMod 1 Load Voltage: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " V")
print("Mod 3 Load Voltage: " + str(round(self.read_bsmp_variable(40,'float'),3)) + " V")
#print("\nMod 1 DC-Link Voltage: " + str(round(self.read_bsmp_variable(29,'float'),3)) + " V")
#print("Mod 1 Temperature: " + str(round(self.read_bsmp_variable(31,'float'),3)) + " °C")
#print("\nMod 3 DC-Link Voltage: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " V")
#print("Mod 3 Temperature: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " °C")
print("\nMod 1 Duty-Cycle: " + str(round(self.read_bsmp_variable(32,'float'),3)) + " %")
print("Mod 3 Duty-Cycle: " + str(round(self.read_bsmp_variable(36,'float'),3)) + " %")
time.sleep(dt)
self.SetSlaveAdd(old_add)
except:
self.SetSlaveAdd(old_add)
def read_vars_fac_2p_acdc_imas(self, n = 1, add_mod_a = 2, dt = 0.5, iib = 0):
old_add = self.GetSlaveAdd()
try:
for i in range(n):
self.SetSlaveAdd(add_mod_a)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
print('\n *** MODULE A ***')
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_2p_acdc_imas_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_2p_acdc_imas_hard_interlocks)
print("\nCapBank Voltage: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " V")
print("Rectifier Current: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Duty-Cycle: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " %")
self.SetSlaveAdd(add_mod_a+1)
print('\n *** MODULE B ***')
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_2p_acdc_imas_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_2p_acdc_imas_hard_interlocks)
print("\nCapBank Voltage: " + str(round(self.read_bsmp_variable(33,'float'),3)) + " V")
print("Rectifier Current: " + str(round(self.read_bsmp_variable(34,'float'),3)) + " A")
print("Duty-Cycle: " + str(round(self.read_bsmp_variable(35,'float'),3)) + " %")
time.sleep(dt)
self.SetSlaveAdd(old_add)
except:
self.SetSlaveAdd(old_add)
raise
def read_vars_fac_2p_dcdc_imas(self, n = 1, com_add = 1, dt = 0.5, iib = 0):
old_add = self.GetSlaveAdd()
try:
for i in range(n):
self.SetSlaveAdd(com_add)
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.read_vars_common()
print("\nSync Pulse Counter: " + str(round(self.read_bsmp_variable(5,'uint32_t'),3)))
soft_itlks = self.read_bsmp_variable(31,'uint32_t')
print("\nSoft Interlocks: " + str(soft_itlks))
if(soft_itlks):
self.decode_interlocks(soft_itlks, list_fac_2p_dcdc_imas_soft_interlocks)
print('')
hard_itlks = self.read_bsmp_variable(32,'uint32_t')
print("Hard Interlocks: " + str(hard_itlks))
if(hard_itlks):
self.decode_interlocks(hard_itlks, list_fac_2p_dcdc_imas_hard_interlocks)
print("\nLoad Current: " + str(round(self.read_bsmp_variable(33,'float'),3)) + ' A')
print("Load Current Error: " + str(round(self.read_bsmp_variable(34,'float'),3)) + ' A')
print("\nArm 1 Current: " + str(round(self.read_bsmp_variable(35,'float'),3)) + ' A')
print("Arm 2 Current: " + str(round(self.read_bsmp_variable(36,'float'),3)) + ' A')
print("Arms Current Diff: " + str(round(self.read_bsmp_variable(37,'float'),3)) + ' A')
print("\nCapBank Voltage 1: " + str(round(self.read_bsmp_variable(38,'float'),3)) + ' V')
print("CapBank Voltage 2: " + str(round(self.read_bsmp_variable(39,'float'),3)) + ' V')
print("\nDuty-Cycle 1: " + str(round(self.read_bsmp_variable(40,'float'),3)) + ' %')
print("Duty-Cycle 2: " + str(round(self.read_bsmp_variable(41,'float'),3)) + ' %')
print("Differential Duty-Cycle: " + str(round(self.read_bsmp_variable(42,'float'),3)) + ' %')
time.sleep(dt)
self.SetSlaveAdd(old_add)
except:
self.SetSlaveAdd(old_add)
raise
def check_param_bank(self, param_file):
fbp_param_list = []
max_sampling_freq = 600000
c28_sysclk = 150e6
with open(param_file,newline='') as f:
reader = csv.reader(f)
for row in reader:
fbp_param_list.append(row)
for param in fbp_param_list:
if str(param[0]) == 'Num_PS_Modules' and param[1] > 4:
print("Invalid " + str(param[0]) + ": " + str(param[1]) + ". Maximum is 4")
elif str(param[0]) == 'Freq_ISR_Controller' and param[1] > 6000000:
print("Invalid " + str(param[0]) + ": " + str(param[1]) + ". Maximum is 4" )
else:
for n in range(64):
try:
print(str(param[0]) + "["+ str(n) + "]: " + str(param[n+1]))
print(self.set_param(str(param[0]),n,float(param[n+1])))
except:
break
def set_param_bank(self, param_file):
fbp_param_list = []
with open(param_file,newline='') as f:
reader = csv.reader(f)
for row in reader:
fbp_param_list.append(row)
for param in fbp_param_list:
if str(param[0]) == 'PS_Name':
print(str(param[0]) + "[0]: " + str(param[1]))
print(self.set_ps_name(str(param[1])))
else:
for n in range(64):
try:
print(str(param[0]) + "["+ str(n) + "]: " + str(param[n+1]))
print(self.set_param(str(param[0]),n,float(param[n+1])))
except:
break
#self.save_param_bank()
def get_default_ramp_waveform(self, interval=500, nrpts=4000, ti=None, fi=None, forms=None):
from siriuspy.magnet.util import get_default_ramp_waveform
return get_default_ramp_waveform(interval, nrpts, ti, fi, forms)
def save_ramp_waveform(self, ramp):
filename = input('Digite o nome do arquivo: ')
with open( filename + '.csv', 'w', newline='') as f:
writer = csv.writer(f, delimiter=';')
writer.writerow(ramp)
def save_ramp_waveform_col(self, ramp):
filename = input('Digite o nome do arquivo: ')
with open( filename + '.csv', 'w', newline='') as f:
writer = csv.writer(f)
for val in ramp:
writer.writerow([val])
def read_vars_fac_n(self, n = 1, dt = 0.5):
old_add = self.GetSlaveAdd()
try:
for i in range(n):
print('\n--- Measurement #' + str(i+1) + ' ------------------------------------------\n')
self.SetSlaveAdd(1)
self.read_vars_fac_dcdc()
print('\n-----------------------\n')
self.SetSlaveAdd(2)
self.read_vars_fac_acdc()
time.sleep(dt)
self.SetSlaveAdd(old_add)
except:
self.SetSlaveAdd(old_add)
def get_step_buffer_fbp_ufjf(self, net1, net2, i_0, i_f, dly):
self.set_param('Analog_Var_Max',4,net1)
self.set_param('Analog_Var_Max',5,net2)
self.set_slowref(i_0)
time.sleep(0.5)
self.enable_buf_samples()
time.sleep(dly)
self.set_slowref(i_f)
self.disable_buf_samples()
buf = self.read_buf_samples_ctom()
buf1 = buf[0:4096:2]
buf2 = buf[1:4096:2]
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
ax1.plot(buf1)
ax1.grid()
ax2.plot(buf2)
ax2.grid()
fig.show()
return [buf1,buf2]
def set_buf_samples_freq(self, fs):
self.set_param('Freq_TimeSlicer',1,fs)
self.save_param_eeprom('Freq_TimeSlicer',1)
self.reset_udc()
def calc_pi(self, r_load, l_load, f_bw, v_dclink, send_drs = 0, dsp_id = 0):
kp = 2*3.1415*f_bw*l_load/v_dclink
ki = kp*r_load/l_load
print('\n Kp = ' + str(kp))
print(' Ki = ' + str(ki) + '\n')
if send_drs:
self.set_dsp_coeffs(3,dsp_id,[kp,ki,0.95,-0.95])
return [kp,ki]
def config_dsp_modules_drs_fap_tests(self):
kp_load = 0
ki_load = 20.95
kp_share = 0.000032117
ki_share = 0.0012
drs.set_dsp_coeffs(3,0,[kp_load,ki_load,0.6,0])
drs.set_dsp_coeffs(3,1,[kp_share,ki_share,0.0015,-0.0015])
drs.save_dsp_modules_eeprom()
def set_prbs_sampling_freq(self,freq, type_memory):
self.set_param('Freq_TimeSlicer',0,freq)
self.set_param('Freq_TimeSlicer',1,freq)
self.save_param_bank(type_memory)
def get_dsp_modules_bank(self, list_dsp_classes = [1,2,3,4,5,6], print_modules = 1):
dsp_modules_bank = []
for dsp_class in list_dsp_classes:
for dsp_id in range(num_dsp_modules[dsp_class]):
dsp_module = [dsp_classes_names[dsp_class], dsp_class, dsp_id]
for dsp_coeff in range(num_coeffs_dsp_modules[dsp_class]):
try:
coeff = self.get_dsp_coeff(dsp_class,dsp_id,dsp_coeff)
if dsp_class == 3 and dsp_coeff == 1:
coeff *= self.get_param('Freq_ISR_Controller',0)
dsp_module.append(coeff)
except:
dsp_module.append('nan')
dsp_modules_bank.append(dsp_module)
if(print_modules):
print(dsp_module)
return dsp_modules_bank
def store_dsp_modules_bank_csv(self, bank):
filename = input('Digite o nome do arquivo: ')
with open( filename + '.csv', 'w', newline='') as f:
writer = csv.writer(f, delimiter=',')
for dsp_module in bank:
writer.writerow(dsp_module)
def set_dsp_modules_bank(self, dsp_modules_file, save_eeprom = 0):
dsp_modules_row = []
with open(dsp_modules_file,newline='') as f:
reader = csv.reader(f)
for dsp_module in reader:
if not dsp_module == []:
if not dsp_module[0][0] == '#':
list_coeffs = []
for coeff in dsp_module[3:3+num_coeffs_dsp_modules[int(dsp_module[1])]]:
list_coeffs.append(float(coeff))
print(str(int(dsp_module[1])) + ' ' + str(int(dsp_module[2])) + ' ' + str(list_coeffs))
self.set_dsp_coeffs(int(dsp_module[1]),int(dsp_module[2]),list_coeffs)
if(save_eeprom):
self.save_dsp_modules_eeprom()
else:
print('\n *** Aviso: Os coeficientes configurados não foram salvos na memória EEPROM. Caso deseje salvar, utilize o argumento save_eeprom = 1')
def set_param_bank(self, param_file):
fbp_param_list = []
with open(param_file,newline='') as f:
reader = csv.reader(f)
for row in reader:
fbp_param_list.append(row)
for param in fbp_param_list:
if str(param[0]) == 'PS_Name':
print(str(param[0]) + "[0]: " + str(param[1]))
print(self.set_ps_name(str(param[1])))
else:
for n in range(64):
try:
print(str(param[0]) + "["+ str(n) + "]: " + str(param[n+1]))
print(self.set_param(str(param[0]),n,float(param[n+1])))
except:
break
#self.save_param_bank()
def select_param_bank(self, cfg_dsp_modules = 0):
add = int(input('\n Digite o endereco serial atual do controlador a ser configurado: '))
oldadd = self.GetSlaveAdd()
self.SetSlaveAdd(add)
areas = ['IA','LA','PA']
ps_models = ['fbp','fbp_dclink','fap','fap_4p','fap_2p4s','fac','fac_2s']
ps_folders = ['fbp','fbp_dclink','fap','fap',]
la_fap = ['TB-Fam:PS-B','TS-01:PS-QF1A','TS-01:PS-QF1B','TS-02:PS-QD2',
'TS-02:PS-QF2','TS-03:PS-QF3','TS-04:PS-QD4A','TS-04:PS-QD4B',
'TS-04:PS-QF4']
print('\n Selecione area: \n')
print(' 0: Sala de racks')
print(' 1: Linhas de transporte')
print(' 2: Sala de fontes\n')
area = int(input(' Digite o numero correspondente: '))
if area == 0:
sector = input('\n Digite o setor da sala de racks [1 a 20]: ')
if int(sector) < 10:
sector = '0' + sector
rack = input('\n Escolha o rack em que a fonte se encontra [1/2/3]: ')
#if (rack != '1') and (rack != '2'):
if not ((rack == '1') or (rack == '2') or (sector == '09' and rack == '3')):
print(' \n *** RACK INEXISTENTE ***\n')
return
print('\n Escolha o tipo de fonte: \n')
print(' 0: FBP')
print(' 1: FBP-DCLink\n')
ps_model = int(input(' Digite o numero correspondente: '))
if ps_model == 0:
crate = '_crate_' + input('\n Digite a posicao do bastidor, de cima para baixo. Leve em conta os bastidores que ainda nao foram instalados : ')
elif ps_model == 1:
crate = ''
else:
print(' \n *** TIPO DE FONTE INEXISTENTE ***\n')
return
file_dir = '../ps_parameters/IA-' + sector + '/' + ps_models[ps_model] + '/'
file_name = 'parameters_' + ps_models[ps_model] + '_IA-' + sector + 'RaPS0' + rack + crate + '.csv'
file_path = file_dir + file_name
print('\n Banco de parametros a ser utilizado: ' + file_path)
elif area == 1:
print('\n Escolha o tipo de fonte: \n')
print(' 0: FBP')
print(' 1: FBP-DCLink')
print(' 2: FAP\n')
ps_model = int(input(' Digite o numero correspondente: '))
if ps_model == 0 or ps_model == 1:
crate = input('\n Digite a posicao do bastidor, de cima para baixo. Leve em conta os bastidores que ainda nao foram instalados : ')
ps_name = '_LA-RaPS06_crate_' + crate
file_dir = '../ps_parameters/LA/' + ps_models[ps_model] + '/'
file_name = 'parameters_' + ps_models[ps_model] + ps_name + '.csv'
file_path = file_dir + file_name
elif ps_model == 2:
ps_list = []
file_dir = '../ps_parameters/LA/fap/'
for entry in os.listdir(file_dir):
if os.path.isfile(os.path.join(file_dir, entry)):
ps_list.append(entry)
print('\n ### Lista de fontes FAP da linha de transporte ### \n')
for idx, ps in enumerate(ps_list):
print(' ' + str(idx) + ': ' + ps)
ps_idx = int(input('\n Escolha o índice da fonte correspondente: '))
file_path = file_dir + ps_list[ps_idx]
else:
print(' \n *** TIPO DE FONTE INEXISTENTE ***\n')
return
print('\n Banco de parametros a ser utilizado: ' + file_path)
elif area == 2:
print('\n Escolha o tipo de fonte: \n')
print(' 0: FAC')
print(' 1: FAP\n')
ps_model = int(input(' Digite o numero correspondente: '))
if ps_model == 0:
ps_list = []
file_dir = '../ps_parameters/PA/fac/'
for entry in os.listdir(file_dir):
if os.path.isfile(os.path.join(file_dir, entry)):
ps_list.append(entry)
print('\n ### Lista de bastidores de controle FAC da sala de fontes ### \n')
for idx, ps in enumerate(ps_list):
print(' ', idx, ': ', ps)
ps_idx = int(input('\n Escolha o índice da fonte correspondente: '))
file_path = file_dir + ps_list[ps_idx]
elif ps_model == 1:
ps_list = []
file_dir = '../ps_parameters/PA/fap/'
for entry in os.listdir(file_dir):
if os.path.isfile(os.path.join(file_dir, entry)):
ps_list.append(entry)
print('\n ### Lista de bastidores de controle FAP da sala de fontes ### \n')
for idx, ps in enumerate(ps_list):
print(' ', idx, ': ', ps)
ps_idx = int(input('\n Escolha o índice da fonte correspondente: '))
file_path = file_dir + ps_list[ps_idx]
else:
print(' \n *** TIPO DE FONTE INEXISTENTE ***\n')
return
print('\n Banco de parametros a ser utilizado: ' + file_path)
else:
print(' \n *** SALA INEXISTENTE ***\n')
return
r = input('\n Tem certeza que deseja prosseguir? [Y/N]: ')
if (r != 'Y') and (r != 'y'):
print(' \n *** OPERAÇÃO CANCELADA ***\n')
return
self.SetSlaveAdd(add)
if ps_model == 0 and cfg_dsp_modules == 1:
print('\n Enviando parametros de controle para controlador ...')
dsp_file_dir = '../dsp_parameters/IA-' + sector + '/' + ps_models[ps_model] + '/'
dsp_file_name = 'dsp_parameters_' + ps_models[ps_model] + '_IA-' + sector + 'RaPS0' + rack + crate + '.csv'
dsp_file_path = dsp_file_dir + dsp_file_name
self.set_dsp_modules_bank(dsp_file_path)
print('\n Gravando parametros de controle na memoria ...')
time.sleep(1)
self.save_dsp_modules_eeprom()
print('\n Enviando parametros de operacao para controlador ...\n')
time.sleep(1)
self.set_param_bank(file_path)
print('\n Gravando parametros de operacao na memoria EEPROM onboard ...')
self.save_param_bank(2)
time.sleep(5)
print('\n Resetando UDC ...')
self.reset_udc()
time.sleep(2)
print('\n Pronto! Não se esqueça de utilizar o novo endereço serial para se comunicar com esta fonte! :)\n')
self.SetSlaveAdd(oldadd)
def get_siggen_vars(self):
print('\n### SigGen Variables ###\n')
print('Enable: ' + str((round(self.read_bsmp_variable(6,'uint16_t'),3))))
print('Type: ' + ListSigGenTypes_v2_1[int(round(self.read_bsmp_variable(7,'uint16_t'),3))])
print('Num Cycles: ' + str(round(self.read_bsmp_variable(8,'uint16_t'),3)))
print('Index: ' + str(round(self.read_bsmp_variable(9,'float'),3)))
print('Frequency: ' + str(round(self.read_bsmp_variable(10,'float'),3)))
print('Amplitude: ' + str(round(self.read_bsmp_variable(11,'float'),3)))
print('Offset: ' + str(round(self.read_bsmp_variable(12,'float'),3)))
self.read_var(self.index_to_hex(13))
reply_msg = self.ser.read(21)
val = struct.unpack('BBHffffB',reply_msg)
print('Aux Param 0: ' + str(val[3]))
print('Aux Param 1: ' + str(val[4]))
print('Aux Param 2: ' + str(val[5]))
print('Aux Param 3: ' + str(val[6]))
def firmware_initialization(self):
print("\n ### Inicialização de firmware ### \n")
print("\n Lendo status...")
print(self.read_ps_status())
print("\n Lendo versão de firmware...")
self.read_udc_version()
print("\n Desbloqueando UDC...")
print(self.unlock_udc(0xFFFF))
print("\n Habilitando EEPROM onboard...")
self.enable_onboard_eeprom()
print("\n Alterando senha...")
print(self.set_param('Password',0,0xCAFE))
print(self.save_param_eeprom('Password',0,2))
print("\n Configurando banco de parâmetros...")
self.select_param_bank()
print("\n ### Fim da inicialização de firmware ### \n")
def cfg_hensys_ps_model(self):
list_files = ['fbp_dclink/parameters_fbp_dclink_hensys.csv',
'fac/parameters_fac_acdc_hensys.csv',
'fac/parameters_fac_dcdc_hensys.csv',
'fac/parameters_fac_2s_acdc_hensys.csv',
'fac/parameters_fac_2s_dcdc_hensys.csv',
'fac/parameters_fac_2p4s_acdc_hensys.csv',
'fac/parameters_fac_2p4s_dcdc_hensys.csv',
'fap/parameters_fap_hensys.csv',
'fap/parameters_fap_2p2s_hensys.csv',
'fap/parameters_fap_4p_hensys.csv']
print('\n Desbloqueando UDC ...')
print(self.unlock_udc(0xCAFE))
print('\n *** Escolha o modelo de fonte a ser configurado ***\n')
print(' 0: FBP-DClink')
print(' 1: FAC-ACDC')
print(' 2: FAC-DCDC')
print(' 3: FAC-2S-ACDC')
print(' 4: FAC-2S-DCDC')
print(' 5: FAC-2P4S-ACDC')
print(' 6: FAC-2P4S-DCDC')
print(' 7: FAP')
print(' 8: FAP-2P2S')
print(' 9: FAP-4P')
model_idx = int(input('\n Digite o índice correspondente: '))
file_path = '../ps_parameters/development/' + list_files[model_idx]
print('\n Banco de parametros a ser utilizado: ' + file_path)
r = input('\n Tem certeza que deseja prosseguir? [Y/N]: ')
if (r != 'Y') and (r != 'y'):
print(' \n *** OPERAÇÃO CANCELADA ***\n')
return
print('\n Enviando parametros de operacao para controlador ...\n')
time.sleep(1)
self.set_param_bank(file_path)
print('\n Gravando parametros de operacao na memoria EEPROM onboard ...')
self.save_param_bank(2)
time.sleep(5)
print('\n Resetando UDC ...')
self.reset_udc()
time.sleep(2)
print('\n Pronto! Nao se esqueca de utilizar o novo endereco serial para se comunicar com esta fonte! :)\n')
def test_bid_board(self, password):
r = input("\n Antes de iniciar, certifique-se que o bastidor foi energizado sem a placa BID.\n Para prosseguir, conecte a placa BID a ser testada e pressione qualquer tecla... ")
print("\n Desbloqueando UDC ...")
print(self.unlock_udc(password))
print("\n Carregando banco de parametros da memoria onboard ...")
print(self.load_param_bank(type_memory = 2))
print("\n Banco de parametros da memoria onboard:\n")
max_param = ListParameters.index('Scope_Source')
param_bank_onboard = []
for param in ListParameters[0:max_param]:
val = self.get_param(param,0)
print(param + ':',val)
param_bank_onboard.append(val)
print("\n Salvando banco de parametros na memoria offboard ...")
print(self.save_param_bank(type_memory = 1))
time.sleep(5)
print("\n Resetando UDC ...")
self.reset_udc()
time.sleep(3)
self.read_ps_status()
print("\n Desbloqueando UDC ...")
print(self.unlock_udc(password))
print("\n Carregando banco de parametros da memoria offboard ...")
print(self.load_param_bank(type_memory = 1))
self.read_ps_status()
print("\n Verificando banco de parametros offboard apos reset ... \n")
try:
param_bank_offboard = []
for param in ListParameters[0:max_param]:
val = self.get_param(param,0)
print(param, val)
param_bank_offboard.append(val)
if param_bank_onboard == param_bank_offboard:
print("\n Placa BID aprovada!\n")
else:
print("\n Placa BID reprovada!\n")
except:
print(" Placa BID reprovada!\n")
def upload_parameters_bid(self, password):
print("\n Desbloqueando UDC ...")
print(self.unlock_udc(password))
print("\n Carregando banco de parametros da memoria offboard ...")
print(self.load_param_bank(type_memory = 1))
time.sleep(1)
print("\n Salvando banco de parametros na memoria onboard ...")
print(self.save_param_bank(type_memory = 2))
time.sleep(5)
print("\n Carregando coeficientes de controle da memoria offboard ...")
print(self.load_dsp_modules_eeprom(type_memory = 1))
time.sleep(1)
print("\n Salvando coeficientes de controle na memoria onboard ...\n")
print(self.save_dsp_modules_eeprom(type_memory = 2))
def download_parameters_bid(self,password):
print("\n Desbloqueando UDC ...")
print(self.unlock_udc(password))
print("\n Carregando banco de parametros da memoria onboard ...")
print(self.load_param_bank(type_memory = 2))
time.sleep(1)
print("\n Salvando banco de parametros na memoria offboard ...")
print(self.save_param_bank(type_memory = 1))
time.sleep(5)
print("\n Carregando coeficientes de controle da memoria onboard ...")
print(self.load_dsp_modules_eeprom(type_memory = 2))
time.sleep(1)
print("\n Salvando coeficientes de controle na memoria offboard ...")
print(self.save_dsp_modules_eeprom(type_memory = 1))
| 50.598044 | 265 | 0.55056 | 26,490 | 217,268 | 4.279464 | 0.040619 | 0.036626 | 0.060972 | 0.075862 | 0.799555 | 0.775482 | 0.749495 | 0.735302 | 0.718197 | 0.701781 | 0 | 0.032604 | 0.311808 | 217,268 | 4,293 | 266 | 50.60983 | 0.725131 | 0.018908 | 0 | 0.550821 | 0 | 0.002303 | 0.187365 | 0.016792 | 0 | 0 | 0.000085 | 0 | 0 | 1 | 0.072272 | false | 0.006047 | 0.003167 | 0.000576 | 0.136769 | 0.197812 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a2a8931a51fd34396e672c721c5f10973faf1824 | 33 | py | Python | inferno/trainers/callbacks/__init__.py | svenpeter42/inferno | 6bcae839f7989666acbf02c2fca87f0b528d9247 | [
"Apache-2.0"
] | null | null | null | inferno/trainers/callbacks/__init__.py | svenpeter42/inferno | 6bcae839f7989666acbf02c2fca87f0b528d9247 | [
"Apache-2.0"
] | 1 | 2017-12-20T21:36:48.000Z | 2017-12-20T21:36:48.000Z | inferno/trainers/callbacks/__init__.py | svenpeter42/inferno | 6bcae839f7989666acbf02c2fca87f0b528d9247 | [
"Apache-2.0"
] | 1 | 2021-01-27T12:29:30.000Z | 2021-01-27T12:29:30.000Z | from .base import CallbackEngine
| 16.5 | 32 | 0.848485 | 4 | 33 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121212 | 33 | 1 | 33 | 33 | 0.965517 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
a2c1e4722a0feff570186eafcc1bdae39438b977 | 122 | py | Python | gcn/predictors/__init__.py | CaiYufan-sjtu/GCNOIE | c84afca5b66d75c7108b2719241e2907700b4111 | [
"MIT"
] | null | null | null | gcn/predictors/__init__.py | CaiYufan-sjtu/GCNOIE | c84afca5b66d75c7108b2719241e2907700b4111 | [
"MIT"
] | null | null | null | gcn/predictors/__init__.py | CaiYufan-sjtu/GCNOIE | c84afca5b66d75c7108b2719241e2907700b4111 | [
"MIT"
] | null | null | null | from gcn.predictors.predictor import GCN_Predictor
from gcn.predictors.open_information_extraction import OpenIePredictor
| 40.666667 | 70 | 0.901639 | 15 | 122 | 7.133333 | 0.6 | 0.130841 | 0.317757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065574 | 122 | 2 | 71 | 61 | 0.938596 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
a2cff3c026153900f65aed2d98bb9d095069327f | 37 | py | Python | mod_pbxproj/__init__.py | crankycoder/mod_pbxproj | 82ebde6965ee0f4718c2298859e22c710ae9a206 | [
"BSD-3-Clause"
] | 13 | 2020-05-24T23:52:48.000Z | 2020-12-01T02:43:03.000Z | mod_pbxproj/__init__.py | crankycoder/mod_pbxproj | 82ebde6965ee0f4718c2298859e22c710ae9a206 | [
"BSD-3-Clause"
] | 3 | 2020-05-26T22:19:49.000Z | 2020-12-01T09:31:25.000Z | mod_pbxproj/__init__.py | crankycoder/mod_pbxproj | 82ebde6965ee0f4718c2298859e22c710ae9a206 | [
"BSD-3-Clause"
] | 3 | 2020-05-26T01:35:20.000Z | 2020-05-26T13:51:07.000Z | from mod_pbxproj import XcodeProject
| 18.5 | 36 | 0.891892 | 5 | 37 | 6.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108108 | 37 | 1 | 37 | 37 | 0.969697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
a2f92e7d1d58283fa0126a14833e963fde0a68ed | 786 | py | Python | terrascript/oneandone/r.py | amlodzianowski/python-terrascript | 1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49 | [
"BSD-2-Clause"
] | null | null | null | terrascript/oneandone/r.py | amlodzianowski/python-terrascript | 1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49 | [
"BSD-2-Clause"
] | null | null | null | terrascript/oneandone/r.py | amlodzianowski/python-terrascript | 1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49 | [
"BSD-2-Clause"
] | null | null | null | # terrascript/oneandone/r.py
import terrascript
class oneandone_server(terrascript.Resource):
pass
class oneandone_firewall_policy(terrascript.Resource):
pass
class oneandone_private_network(terrascript.Resource):
pass
class oneandone_public_ip(terrascript.Resource):
pass
class oneandone_shared_storage(terrascript.Resource):
pass
class oneandone_monitoring_policy(terrascript.Resource):
pass
class oneandone_loadbalancer(terrascript.Resource):
pass
class oneandone_vpn(terrascript.Resource):
pass
class oneandone_ssh_key(terrascript.Resource):
pass
class oneandone_block_storage(terrascript.Resource):
pass
class oneandone_image(terrascript.Resource):
pass
class oneandone_baremetal(terrascript.Resource):
pass
| 15.115385 | 56 | 0.790076 | 85 | 786 | 7.082353 | 0.294118 | 0.27907 | 0.458472 | 0.511628 | 0.719269 | 0.289037 | 0 | 0 | 0 | 0 | 0 | 0 | 0.143766 | 786 | 51 | 57 | 15.411765 | 0.894502 | 0.033079 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.48 | 0.04 | 0 | 0.52 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
0c178a1069f39c518ddfd8a2916f2fbf97dfd531 | 44 | py | Python | FEM/Utils/__init__.py | ZibraMax/FEM | b868c60408a4f83dec4bb424d66be0b20e2ac71b | [
"MIT"
] | 10 | 2021-03-21T18:38:40.000Z | 2022-02-22T01:32:06.000Z | FEM/Utils/__init__.py | ZibraMax/FEM | b868c60408a4f83dec4bb424d66be0b20e2ac71b | [
"MIT"
] | null | null | null | FEM/Utils/__init__.py | ZibraMax/FEM | b868c60408a4f83dec4bb424d66be0b20e2ac71b | [
"MIT"
] | 1 | 2022-02-08T04:40:59.000Z | 2022-02-08T04:40:59.000Z | """Utilities
"""
from .polygonal import *
| 7.333333 | 24 | 0.636364 | 4 | 44 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 44 | 5 | 25 | 8.8 | 0.777778 | 0.204545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
0c3bf75f340487eca11d6757cd68e1e3d0293969 | 80 | py | Python | run.py | gems-uff/sms | 01cfa84bd467617c58f58da04711c5097dd93fe6 | [
"MIT"
] | null | null | null | run.py | gems-uff/sms | 01cfa84bd467617c58f58da04711c5097dd93fe6 | [
"MIT"
] | null | null | null | run.py | gems-uff/sms | 01cfa84bd467617c58f58da04711c5097dd93fe6 | [
"MIT"
] | null | null | null | from app import create_app
from config import Config
app = create_app(Config)
| 13.333333 | 26 | 0.8 | 13 | 80 | 4.769231 | 0.384615 | 0.290323 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1625 | 80 | 5 | 27 | 16 | 0.925373 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
0c40165cbb0b8d0079584a6e0a1e0a508475fc56 | 18,475 | py | Python | lg_common/src/lg_common/interactive_messages_factory.py | carlosvquezada/lg_ros_nodes | 7560e99272d06ef5c80a5444131dad72c078a718 | [
"Apache-2.0"
] | null | null | null | lg_common/src/lg_common/interactive_messages_factory.py | carlosvquezada/lg_ros_nodes | 7560e99272d06ef5c80a5444131dad72c078a718 | [
"Apache-2.0"
] | null | null | null | lg_common/src/lg_common/interactive_messages_factory.py | carlosvquezada/lg_ros_nodes | 7560e99272d06ef5c80a5444131dad72c078a718 | [
"Apache-2.0"
] | null | null | null | import sys
import json
import rospy
from interactivespaces_msgs.msg import GenericMessage
class InteractiveSpacesMessagesFactory:
"""
This class contains easy access to test messages
"""
def __init__(self):
self.publisher = None
self.test_one_browser_with_extension_msg = self._create_message("""
{
"description": "one browser with extension",
"duration": 100,
"name": "one browser with extension",
"resource_uri": "/director_api/scene/one_browser_with_extension/",
"slug": "one_browser_with_extension",
"windows": [
{
"activity": "browser",
"activity_config": {
"google_chrome":{
"extensions": [
"test_extension1"
]
}
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/example/index.html"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_with_allowed_urls_msg = self._create_message("""
{
"description": "one browser with allowed urls",
"duration": 100,
"name": "one browser with allowed urls",
"resource_uri": "/director_api/scene/one_browser_with_allowed_urls/",
"slug": "one_browser_with_allowed_urls",
"windows": [
{
"activity": "browser",
"activity_config": {
"google_chrome":{
"allowed_urls": ["google.com", "endpoint.com"]
}
},
"assets": [
"https://maps.google.com"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_with_two_extensions_msg = self._create_message("""
{
"description": "one browser with extension",
"duration": 100,
"name": "one browser with extension",
"resource_uri": "/director_api/scene/one_browser_with_extension/",
"slug": "one_browser_with_extension",
"windows": [
{
"activity": "browser",
"activity_config": {
"google_chrome":{
"extensions": [
"test_extension1",
"test_extension2"
]
}
},
"assets": [
"https://maps.google.com"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_with_two_extensions_and_preloading_msg = self._create_message("""
{
"description": "one_browser_tiwh_two_extensions_and_preloading",
"duration": 100,
"name": "one_browser_tiwh_two_extensions_and_preloading",
"resource_uri": "/director_api/scene/one_browser_tiwh_two_extensions_and_preloading/",
"slug": "one_browser_tiwh_two_extensions_and_preloading",
"windows": [
{
"activity": "browser",
"activity_config": {
"preload": true,
"google_chrome":{
"extensions": [
"test_extension1",
"test_extension2"
]
}
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_with_custom_cmdargs_msg = self._create_message("""
{
"description": "one browser with extension",
"duration": 100,
"name": "one browser with extension",
"resource_uri": "/director_api/scene/one_browser_with_extension/",
"slug": "one_browser_with_extension",
"windows": [
{
"activity": "browser",
"activity_config": {
"google_chrome":{
"command_line_args": [
"--disable-out-of-process-pac",
"--enable-benchmarking",
"--enable-crash-reporter"
]
}
},
"assets": [
"https://maps.google.com"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_with_custom_user_agent_msg = self._create_message("""
{
"description": "custom user agent",
"duration": 100,
"name": "custom_user_agent",
"resource_uri": "/director_api/scene/one_browser_with_custom_user_agent/",
"slug": "one_browser_with_custom_user_agent",
"windows": [
{
"activity": "browser",
"activity_config": {
"google_chrome":{
"user_agent": "loltestlmfaorofl"
}
},
"assets": [
"https://maps.google.com"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_with_custom_binary_msg = self._create_message("""
{
"description": "custom binary",
"duration": 100,
"name": "custom_user_agent",
"resource_uri": "/director_api/scene/one_browser_with_custom_binary/",
"slug": "one_browser_with_custom_binary",
"windows": [
{
"activity": "browser",
"activity_config": {
"google_chrome":{
"version": "beta"
}
},
"assets": [
"https://maps.google.com"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_on_center_alt_slug_msg = self._create_message("""
{
"description": "one_browser_on_center_alt_slug",
"duration": 100,
"name": "one_browser_on_center_alt_slug",
"resource_uri": "/director_api/scene/one_browser_on_center_alt_slug/",
"slug": "one_browser_on_center_alt_slug",
"windows": [
{
"activity": "browser",
"activity_config": {
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/example/index.html"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_on_center_msg = self._create_message("""
{
"description": "one_browser_on_center",
"duration": 100,
"name": "custom_user_agent",
"resource_uri": "/director_api/scene/one_browser_on_center/",
"slug": "one_browser_on_center",
"windows": [
{
"activity": "browser",
"activity_config": {
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/example/index.html"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_no_browsers_msg = self._create_message("""
{
"description": "no_browsers",
"duration": 100,
"name": "no_browsers",
"resource_uri": "/director_api/scene/no_browsers/",
"slug": "no_browsers",
"windows": [
]
}
""")
self.test_one_browser_with_preloading_and_wrong_url_msg = self._create_message("""
{
"description": "one_browser_with_preloading_and_wrong_url",
"duration": 100,
"name": "one_browser_with_preloading_and_wrong_url",
"resource_uri": "/director_api/scene/one_browser_with_preloading_and_wrong_url/",
"slug": "one_browser_with_preloading_and_wrong_url",
"windows": [
{
"activity": "browser",
"activity_config": {
"preload": true
},
"assets": [
"http://asdasdasdaqweqwenonexistentpage.com"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_with_preloading_msg = self._create_message("""
{
"description": "one_browser_with_preloading",
"duration": 100,
"name": "one_browser_with_preloading",
"resource_uri": "/director_api/scene/one_browser_with_preloading/",
"slug": "one_browser_with_preloading",
"windows": [
{
"activity": "browser",
"activity_config": {
"preload": true
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_with_preloading_alt_slug_msg = self._create_message("""
{
"description": "one_browser_with_preloading_alt_slug",
"duration": 100,
"name": "one_browser_with_preloading_alt_slug",
"resource_uri": "/director_api/scene/one_browser_with_preloading_alt_slug/",
"slug": "one_browser_with_preloading_alt_slug",
"windows": [
{
"activity": "browser",
"activity_config": {
"preload": true
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_two_browsers_with_preloading_mix_msg = self._create_message("""
{
"description": "one_two_browsers_with_preloading_mix",
"duration": 100,
"name": "two_browsers_with_preloading_mix",
"resource_uri": "/director_api/scene/two_browsers_with_preloading_mix/",
"slug": "two_browsers_with_preloading_mix",
"windows": [
{
"activity": "browser",
"activity_config": {
"preload": true
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 100,
"presentation_viewport": "center",
"width": 100,
"x_coord": 300,
"y_coord": 300
},
{
"activity": "browser",
"activity_config": {
"preload": false
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_two_browsers_with_preloading_mix_alt_slug_msg = self._create_message("""
{
"description": "one_two_browsers_with_preloading_mix_alt_slug",
"duration": 100,
"name": "two_browsers_with_preloading_mix_alt_slug",
"resource_uri": "/director_api/scene/two_browsers_with_preloading_mix_alt_slug/",
"slug": "two_browsers_with_preloading_mix_alt_slug",
"windows": [
{
"activity": "browser",
"activity_config": {
"preload": true
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 100,
"presentation_viewport": "center",
"width": 100,
"x_coord": 300,
"y_coord": 300
},
{
"activity": "browser",
"activity_config": {
"preload": false
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_four_browsers_with_preloading_mix_msg = self._create_message("""
{
"description": "four_browsers_with_preloading_mix",
"duration": 100,
"name": "four_browsers_with_preloading_mix",
"resource_uri": "/director_api/scene/four_browsers_with_preloading_mix/",
"slug": "four_browsers_with_preloading_mix",
"windows": [
{
"activity": "browser",
"activity_config": {
"preload": true
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 100,
"presentation_viewport": "center",
"width": 100,
"x_coord": 300,
"y_coord": 300
},
{
"activity": "browser",
"activity_config": {
"preload": false
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
},
{
"activity": "browser",
"activity_config": {
"preload": true
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 100,
"presentation_viewport": "left",
"width": 100,
"x_coord": 300,
"y_coord": 300
},
{
"activity": "browser",
"activity_config": {
"preload": false
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/test.html"
],
"height": 333,
"presentation_viewport": "left",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
self.test_one_browser_with_preloading_and_custom_preloading_event_msg = self._create_message("""
{
"description": "one_browser_with_preloading_and_custom_preloading_event",
"duration": 100,
"name": "one_browser_with_preloading_and_custom_preloading_event",
"resource_uri": "/director_api/scene/one_browser_with_preloading_and_custom_preloading_event/",
"slug": "one_browser_with_preloading_and_custom_preloading_event",
"windows": [
{
"activity": "browser",
"activity_config": {
"preload": true,
"custom_preload_event": true
},
"assets": [
"http://127.0.0.1:8008/lg_common/webapps/window_ready_mock/custom_event.html?use_app_event=1"
],
"height": 333,
"presentation_viewport": "center",
"width": 333,
"x_coord": 22,
"y_coord": 22
}
]
}
""")
def emit_message(self, ivar_name):
"""
emits message using instance variable name
"""
if not self.publisher:
self.publisher = rospy.Publisher(
'/director/scene', GenericMessage, queue_size=3
)
rospy.init_node("ispaces_messages_factory")
message = self._get_message(ivar_name)
print "message string: %s" % message
self.publisher.publish(message)
return True
def _create_message(self, msg_string):
message = GenericMessage()
message.type = 'json'
try:
message_json = json.loads(msg_string)
message.message = json.dumps(message_json)
return message
except ValueError:
print "Could not decode json message from InteractiveSpacesMessagesFactory"
sys.exit(1)
def _init_publisher(self):
pass
def _get_message(self, message_name):
"""
Returns message as json
"""
return getattr(self, message_name)
if __name__ == "__main__":
try:
messages = InteractiveSpacesMessagesFactory()
message_name = sys.argv[1]
print "Emitting %s message" % message_name
messages.emit_message(message_name)
except IndexError:
print ""
print "This file, if called directly, will emit an interactivespaces.msgs.GenericMessage"
print ""
print "You must provide message name to emit:\n%s" % \
'\n'.join(["- " + ivar for ivar in dir(messages) if ivar.startswith('test_')])
print ""
print "NOTE: methods beginning with 'test' are used by test suite"
print ""
sys.exit(1)
| 32.298951 | 109 | 0.489743 | 1,629 | 18,475 | 5.181093 | 0.108656 | 0.07109 | 0.077962 | 0.072156 | 0.81955 | 0.784953 | 0.755569 | 0.682583 | 0.610071 | 0.541232 | 0 | 0.037837 | 0.386306 | 18,475 | 571 | 110 | 32.355517 | 0.706562 | 0 | 0 | 0.557762 | 0 | 0.027076 | 0.840256 | 0.164007 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.001805 | 0.00722 | null | null | 0.018051 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
0c48a33b78a498aba31c48f55f1b63e9dd1582f4 | 11,825 | py | Python | calliope_app/api/tests/test_urls.py | NREL/engage | c25bacc1e98f84671ba0c0e53fc98bace090a4d8 | [
"BSD-3-Clause"
] | 3 | 2021-01-25T18:13:00.000Z | 2021-04-30T12:17:42.000Z | calliope_app/api/tests/test_urls.py | NREL/engage | c25bacc1e98f84671ba0c0e53fc98bace090a4d8 | [
"BSD-3-Clause"
] | 8 | 2020-12-11T22:28:17.000Z | 2022-03-05T02:08:27.000Z | calliope_app/api/tests/test_urls.py | NREL/engage | c25bacc1e98f84671ba0c0e53fc98bace090a4d8 | [
"BSD-3-Clause"
] | 1 | 2021-09-15T22:15:12.000Z | 2021-09-15T22:15:12.000Z | """
Unit tests for Django app "api" urls.
"""
import uuid
from django.conf import settings
from django.test import TestCase
from django.urls import reverse, resolve
from django.utils import translation
class APIUserURLTestCase(TestCase):
def test_user_registration(self):
view_name = "user_registration"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/user_registration/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_user_activation(self):
activation_uuid = str(uuid.uuid4())
view_name = "user_activation"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/user_activation/{activation_uuid}"
self.assertEqual(
reverse(view_name, kwargs={"activation_uuid": activation_uuid}), url
)
self.assertEqual(resolve(url).view_name, view_name)
class APIModelURLTestCase(TestCase):
def test_add_model(self):
view_name = "add_model"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/add_model/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_remove_model(self):
view_name = "remove_model"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/remove_model/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_duplicate_model(self):
view_name = "duplicate_model"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/duplicate_model/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_add_collaborator(self):
view_name = "add_collaborator"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/add_collaborator/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def testt_add_model_comment(self):
view_name = "add_model_comment"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/add_model_comment/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
class APILocationURLTestCase(TestCase):
def test_update_location(self):
view_name = "update_location"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/update_location/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_delete_location(self):
view_name = "delete_location"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/delete_location/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
class APIParameterURLTestCase(TestCase):
def test_convert_to_timeseries(self):
view_name = "convert_to_timeseries"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/convert_to_timeseries/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_update_favorite(self):
view_name = "update_favorite"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/update_favorite/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
class APITechnologyURLTestCase(TestCase):
def test_add_technology(self):
view_name = "add_technology"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/add_technology/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_delete_technology(self):
view_name = "delete_technology"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/delete_technology/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_update_tech_params(self):
view_name = "update_tech_params"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/update_tech_params/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
class APILocTechURLTestCase(TestCase):
def test_add_loc_tech(self):
view_name = "add_loc_tech"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/add_loc_tech/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_delete_loc_tech(self):
view_name = "delete_loc_tech"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/delete_loc_tech/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_update_loc_tech_params(self):
view_name = "update_loc_tech_params"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/update_loc_tech_params/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
class APIScenarioURLTestCase(TestCase):
def test_add_scenario(self):
view_name = "add_scenario"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/add_scenario/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_toggle_scenario_loc_tech(self):
view_name = "toggle_scenario_loc_tech"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/toggle_scenario_loc_tech/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_update_scenario_params(self):
view_name = "update_scenario_params"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/update_scenario_params/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_delete_scenario(self):
view_name = "delete_scenario"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/delete_scenario/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
class APIFileURLTestCase(TestCase):
def test_upload_file(self):
view_name = "upload_file"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/upload_file/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_delete_file(self):
view_name = "delete_file"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/delete_file/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_upload_timeseries(self):
view_name = "upload_timeseries"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/upload_timeseries/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_delete_timeseries(self):
view_name = "delete_timeseries"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/delete_timeseries/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
class APIRunURLTestCase(TestCase):
def test_build(self):
view_name = "build"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/build/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_optimize(self):
view_name = "optimize"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/optimize/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_delete_run(self):
view_name = "delete_run"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/delete_run/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_update_run_description(self):
view_name = "update_run_description"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/update_run_description/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
def test_download(self):
view_name = "download"
for language_code, _ in settings.LANGUAGES:
with translation.override(language_code):
url = f"/{language_code}/api/download/"
self.assertEqual(reverse(view_name), url)
self.assertEqual(resolve(url).view_name, view_name)
| 39.155629 | 88 | 0.641099 | 1,323 | 11,825 | 5.436886 | 0.055933 | 0.133463 | 0.062561 | 0.070902 | 0.798832 | 0.773808 | 0.766023 | 0.766023 | 0.766023 | 0.766023 | 0 | 0.000115 | 0.26537 | 11,825 | 301 | 89 | 39.285714 | 0.827904 | 0.003129 | 0 | 0.524229 | 0 | 0 | 0.134635 | 0.104839 | 0 | 0 | 0 | 0 | 0.264317 | 1 | 0.132159 | false | 0 | 0.022026 | 0 | 0.193833 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a753a8170b3bb06b0d8295bb938258d900fe2c90 | 158 | py | Python | bkash/_constants.py | aniruddha-adhikary/bkash-api-client-python | dc702e0444a9f4716ff5fb20fff7ae494a0482cb | [
"MIT"
] | 19 | 2018-05-19T13:57:04.000Z | 2021-07-05T12:18:28.000Z | bkash/_constants.py | Revel109/bkash-api-client-python | dc702e0444a9f4716ff5fb20fff7ae494a0482cb | [
"MIT"
] | null | null | null | bkash/_constants.py | Revel109/bkash-api-client-python | dc702e0444a9f4716ff5fb20fff7ae494a0482cb | [
"MIT"
] | 4 | 2018-05-19T13:31:51.000Z | 2019-10-03T10:49:43.000Z | API_VERSION = '0.40.0'
SANDBOX_BASE = 'https://{service}.sandbox.bka.sh/v{version}/{path}'
PRODUCTION_BASE = 'https://{service}.pay.bka.sh/v{version}/{path}'
| 39.5 | 67 | 0.696203 | 25 | 158 | 4.28 | 0.56 | 0.168224 | 0.299065 | 0.242991 | 0.317757 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026846 | 0.056962 | 158 | 3 | 68 | 52.666667 | 0.691275 | 0 | 0 | 0 | 0 | 0 | 0.64557 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a76692a63d328faec5fe0e20b873396c72b65186 | 2,755 | py | Python | tests/test_views.py | cocodelabs/api.palaverapp.com | cb517a2cd1dea12fadf4f72147fecf0105cbd717 | [
"BSD-3-Clause"
] | 3 | 2016-07-03T21:19:18.000Z | 2021-07-10T18:32:16.000Z | tests/test_views.py | cocodelabs/api.palaverapp.com | cb517a2cd1dea12fadf4f72147fecf0105cbd717 | [
"BSD-3-Clause"
] | 66 | 2015-03-27T21:52:11.000Z | 2021-09-06T17:56:59.000Z | tests/test_views.py | cocodelabs/api.palaverapp.com | cb517a2cd1dea12fadf4f72147fecf0105cbd717 | [
"BSD-3-Clause"
] | 1 | 2021-07-28T19:45:31.000Z | 2021-07-28T19:45:31.000Z | import json
import unittest
from rivr.test import Client
from palaverapi import app
from palaverapi.models import Device, Token
class ViewTests(unittest.TestCase):
def setUp(self) -> None:
self.client = Client(app)
def test_status(self) -> None:
assert self.client.get('/').status_code == 204
def test_register(self) -> None:
response = self.client.post(
'/1/devices',
headers={'Content-Type': 'application/json'},
body=json.dumps({'device_token': 'test_token'}).encode('utf-8'),
)
self.assertEqual(response.status_code, 201)
self.assertEqual(response.headers['Content-Type'], 'application/json')
self.assertEqual(
response.content,
'{"device_token": "test_token", "push_token": "ec1752bd70320e4763f7165d73e2636cca9e25cf"}',
)
device = Device.get(apns_token='test_token')
assert device
push_token = (
Token.select()
.where(
Token.device == device,
Token.token == 'ec1752bd70320e4763f7165d73e2636cca9e25cf',
)
.get()
)
token = (
Token.select()
.where(Token.device == device, Token.token == 'test_token')
.get()
)
token.delete_instance()
push_token.delete_instance()
device.delete_instance()
def test_returns_200_when_re_registering(self) -> None:
response = self.client.post(
'/1/devices',
headers={'Content-Type': 'application/json'},
body=json.dumps({'device_token': 'test_token'}).encode('utf-8'),
)
response = self.client.post(
'/1/devices',
headers={'Content-Type': 'application/json'},
body=json.dumps({'device_token': 'test_token'}).encode('utf-8'),
)
self.assertEqual(response.status_code, 200)
self.assertEqual(response.headers['Content-Type'], 'application/json')
self.assertEqual(
response.content,
'{"device_token": "test_token", "push_token": "ec1752bd70320e4763f7165d73e2636cca9e25cf"}',
)
device = Device.get(apns_token='test_token')
assert device
push_token = (
Token.select()
.where(
Token.device == device,
Token.token == 'ec1752bd70320e4763f7165d73e2636cca9e25cf',
)
.get()
)
token = (
Token.select()
.where(Token.device == device, Token.token == 'test_token')
.get()
)
push_token.delete_instance()
token.delete_instance()
device.delete_instance()
| 30.955056 | 103 | 0.563702 | 256 | 2,755 | 5.917969 | 0.203125 | 0.072607 | 0.083168 | 0.09571 | 0.784158 | 0.784158 | 0.732673 | 0.732673 | 0.732673 | 0.732673 | 0 | 0.063975 | 0.307804 | 2,755 | 88 | 104 | 31.306818 | 0.730467 | 0 | 0 | 0.666667 | 0 | 0 | 0.198911 | 0.060254 | 0 | 0 | 0 | 0 | 0.12 | 1 | 0.053333 | false | 0 | 0.066667 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a779d99fe199a05d0492065bd295925196caedd2 | 313 | py | Python | generated-libraries/python/netapp/aggr/aggrraidtype.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | 2 | 2017-03-28T15:31:26.000Z | 2018-08-16T22:15:18.000Z | generated-libraries/python/netapp/aggr/aggrraidtype.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | generated-libraries/python/netapp/aggr/aggrraidtype.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | class Aggrraidtype(basestring):
"""
raid_dp|raid4
Possible values:
<ul>
<li> "raid_dp" ,
<li> "raid4" ,
<li> "raid0" ,
<li> "mixed_raid_type"
</ul>
"""
@staticmethod
def get_api_name():
return "aggrraidtype"
| 18.411765 | 31 | 0.453674 | 28 | 313 | 4.857143 | 0.678571 | 0.088235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016393 | 0.415335 | 313 | 16 | 32 | 19.5625 | 0.726776 | 0.472843 | 0 | 0 | 0 | 0 | 0.099174 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0 | 0.25 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
a78a06e5ebf48d0f7d299088d305b63532e04717 | 120 | py | Python | modern3.py | yanapermana/metadecryptor | 7c3e11ddb8ae05c19dbebd8ed2c744ff86ceaa2f | [
"BSD-3-Clause"
] | 49 | 2015-07-03T21:21:45.000Z | 2022-03-31T04:04:42.000Z | modern3.py | hangetzzu/metadecryptor | 7c3e11ddb8ae05c19dbebd8ed2c744ff86ceaa2f | [
"BSD-3-Clause"
] | 3 | 2015-11-03T03:49:25.000Z | 2019-11-04T16:03:18.000Z | modern3.py | hangetzzu/metadecryptor | 7c3e11ddb8ae05c19dbebd8ed2c744ff86ceaa2f | [
"BSD-3-Clause"
] | 17 | 2015-07-05T15:24:18.000Z | 2022-01-17T22:33:26.000Z | from check_RSA3 import *
class Modern3:
def __init__(self):
pass
def check_RSAs(self, target):
check_RSA(target) | 15 | 30 | 0.741667 | 18 | 120 | 4.555556 | 0.722222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02 | 0.166667 | 120 | 8 | 31 | 15 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.166667 | 0.166667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
a7adba42a75cf5b5fc19f5d82e67f3d347b31aae | 66 | py | Python | build/lib/pyconfluent/__init__.py | newellp2019/pyconfluent | b1de0b8255678c2e6a3a7d016df57b9f40cdc861 | [
"MIT"
] | null | null | null | build/lib/pyconfluent/__init__.py | newellp2019/pyconfluent | b1de0b8255678c2e6a3a7d016df57b9f40cdc861 | [
"MIT"
] | null | null | null | build/lib/pyconfluent/__init__.py | newellp2019/pyconfluent | b1de0b8255678c2e6a3a7d016df57b9f40cdc861 | [
"MIT"
] | null | null | null | from .ksql import KSQL
from .schema_registry import SchemaRegistry | 33 | 43 | 0.863636 | 9 | 66 | 6.222222 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106061 | 66 | 2 | 43 | 33 | 0.949153 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 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 | 5 |
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