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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f30677ee36d2019585a6c905e14285322174db09 | 25 | py | Python | resume/__init__.py | alysivji/GetTogether | 403d9945fff019701de41d081ad4452e771e1ce1 | [
"BSD-2-Clause"
] | 446 | 2018-01-21T09:22:41.000Z | 2022-03-25T17:46:12.000Z | resume/__init__.py | alysivji/GetTogether | 403d9945fff019701de41d081ad4452e771e1ce1 | [
"BSD-2-Clause"
] | 272 | 2018-01-03T16:55:39.000Z | 2022-03-11T23:12:30.000Z | resume/__init__.py | alysivji/GetTogether | 403d9945fff019701de41d081ad4452e771e1ce1 | [
"BSD-2-Clause"
] | 100 | 2018-01-27T02:04:15.000Z | 2021-09-09T09:02:21.000Z | from resume.api import *
| 12.5 | 24 | 0.76 | 4 | 25 | 4.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 25 | 1 | 25 | 25 | 0.904762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
b85937ee0020e57e37502d7d351cd36e4fdb4065 | 115 | py | Python | eureka/S6_planet_spectra/__init__.py | iancrossfield/Eureka | 88b178d1b830c16915045b6387cf91955e0071e2 | [
"MIT"
] | null | null | null | eureka/S6_planet_spectra/__init__.py | iancrossfield/Eureka | 88b178d1b830c16915045b6387cf91955e0071e2 | [
"MIT"
] | null | null | null | eureka/S6_planet_spectra/__init__.py | iancrossfield/Eureka | 88b178d1b830c16915045b6387cf91955e0071e2 | [
"MIT"
] | null | null | null | """
Package to plot transmission/emission spectra after fitting
"""
from . import s6_spectra
from . import plots_s6 | 23 | 59 | 0.782609 | 16 | 115 | 5.5 | 0.75 | 0.227273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020202 | 0.13913 | 115 | 5 | 60 | 23 | 0.868687 | 0.513043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
b867cc095038cc787e72d5ad6417a955423335d6 | 220 | py | Python | ambient_api/settings.py | tmd224/ambient_api | d0f3ac2d02a1e81f8e637bcd6a5dcc33eb5f0b20 | [
"MIT"
] | null | null | null | ambient_api/settings.py | tmd224/ambient_api | d0f3ac2d02a1e81f8e637bcd6a5dcc33eb5f0b20 | [
"MIT"
] | null | null | null | ambient_api/settings.py | tmd224/ambient_api | d0f3ac2d02a1e81f8e637bcd6a5dcc33eb5f0b20 | [
"MIT"
] | null | null | null | import os
try:
AMBIENT_ENDPOINT = 'https://api.ambientweather.net/v1'
AMBIENT_APPLICATION_KEY = os.environ['AMBIENT_APPLICATION_KEY']
AMBIENT_API_KEY = os.environ['AMBIENT_API_KEY']
except KeyError:
pass | 27.5 | 67 | 0.754545 | 29 | 220 | 5.413793 | 0.551724 | 0.229299 | 0.267516 | 0.242038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005291 | 0.140909 | 220 | 8 | 68 | 27.5 | 0.825397 | 0 | 0 | 0 | 0 | 0 | 0.321267 | 0.104072 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.142857 | 0.142857 | 0 | 0.142857 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
b88d4fc89bd0251619950eaa4ba72d173e617949 | 149 | py | Python | tests/transactions/builder/test_ipfs.py | supaiku0/python-crypto | 112bfe2f7f581d317d6be65c0c38dad5c9689f5c | [
"MIT"
] | null | null | null | tests/transactions/builder/test_ipfs.py | supaiku0/python-crypto | 112bfe2f7f581d317d6be65c0c38dad5c9689f5c | [
"MIT"
] | null | null | null | tests/transactions/builder/test_ipfs.py | supaiku0/python-crypto | 112bfe2f7f581d317d6be65c0c38dad5c9689f5c | [
"MIT"
] | 1 | 2021-12-21T15:09:05.000Z | 2021-12-21T15:09:05.000Z | import pytest
@pytest.mark.skip(reason='not implemented')
def test_ipfs_transaction():
"""Test if ipfs transaction gets built
"""
pass
| 16.555556 | 43 | 0.697987 | 19 | 149 | 5.368421 | 0.789474 | 0.294118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.187919 | 149 | 8 | 44 | 18.625 | 0.842975 | 0.234899 | 0 | 0 | 0 | 0 | 0.145631 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0.25 | 0.25 | 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 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
b89e0cb00b8e0ca59a16314d189fbba36ee919a5 | 40 | py | Python | prueba.py | kevinah95/bmc-utils | cc51282eab7b4e3d73ff002af983a8ceb36279e5 | [
"MIT"
] | null | null | null | prueba.py | kevinah95/bmc-utils | cc51282eab7b4e3d73ff002af983a8ceb36279e5 | [
"MIT"
] | null | null | null | prueba.py | kevinah95/bmc-utils | cc51282eab7b4e3d73ff002af983a8ceb36279e5 | [
"MIT"
] | null | null | null | from utils import *
print(poisson(56))
| 10 | 19 | 0.725 | 6 | 40 | 4.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.058824 | 0.15 | 40 | 3 | 20 | 13.333333 | 0.794118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 6 |
b24c35c42759cfafb17fa87ec55635144324fad4 | 36 | py | Python | easylog/__init__.py | christopherLang/easylog | 08ec1c3751900ef5cfe49f580eb25261857e8e6f | [
"MIT"
] | null | null | null | easylog/__init__.py | christopherLang/easylog | 08ec1c3751900ef5cfe49f580eb25261857e8e6f | [
"MIT"
] | null | null | null | easylog/__init__.py | christopherLang/easylog | 08ec1c3751900ef5cfe49f580eb25261857e8e6f | [
"MIT"
] | null | null | null | from easylog.easylog import Easylog
| 18 | 35 | 0.861111 | 5 | 36 | 6.2 | 0.6 | 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 | 1 | 0 | 0 | 6 |
a2935ed8ac1409de82ed128a61308ac014576126 | 42 | py | Python | brewdata/__main__.py | chrisgilmerproj/brewdata | 218b2b7997fcde20991eaa5e92df8ce3ce00d4e4 | [
"MIT"
] | 4 | 2017-09-29T22:55:02.000Z | 2020-02-13T05:01:08.000Z | brewdata/__main__.py | chrisgilmerproj/brewdata | 218b2b7997fcde20991eaa5e92df8ce3ce00d4e4 | [
"MIT"
] | null | null | null | brewdata/__main__.py | chrisgilmerproj/brewdata | 218b2b7997fcde20991eaa5e92df8ce3ce00d4e4 | [
"MIT"
] | null | null | null | from brewdata import where
print(where())
| 14 | 26 | 0.785714 | 6 | 42 | 5.5 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119048 | 42 | 2 | 27 | 21 | 0.891892 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 6 |
a2cb5bc1895fc3f54423d93fbc805024962d4d10 | 6,841 | py | Python | transformers-master/examples/mask.py | VITA-Group/BERT-Tickets | 4d8e0356939e7045e2f5ee908412a5026051d162 | [
"MIT"
] | 95 | 2020-08-20T23:24:50.000Z | 2022-03-03T16:56:51.000Z | transformers-master/examples/mask.py | TAMU-VITA/BERT-Tickets | 4d8e0356939e7045e2f5ee908412a5026051d162 | [
"MIT"
] | 6 | 2020-10-07T16:35:29.000Z | 2022-03-10T03:30:15.000Z | transformers-master/examples/mask.py | harrywuhust2022/BERT-Tickets | 4d8e0356939e7045e2f5ee908412a5026051d162 | [
"MIT"
] | 12 | 2020-08-20T23:25:06.000Z | 2022-01-14T12:06:30.000Z | from transformers import BertForMaskedLM, BertForSequenceClassification, BertForQuestionAnswering
from transformers import BertConfig
import torch.nn.utils.prune as prune
import numpy as np
import torch
def pruning_model(model,px):
parameters_to_prune =[]
for ii in range(12):
parameters_to_prune.append((model.bert.encoder.layer[ii].attention.self.query, 'weight'))
parameters_to_prune.append((model.bert.encoder.layer[ii].attention.self.key, 'weight'))
parameters_to_prune.append((model.bert.encoder.layer[ii].attention.self.value, 'weight'))
parameters_to_prune.append((model.bert.encoder.layer[ii].attention.output.dense, 'weight'))
parameters_to_prune.append((model.bert.encoder.layer[ii].intermediate.dense, 'weight'))
parameters_to_prune.append((model.bert.encoder.layer[ii].output.dense, 'weight'))
parameters_to_prune.append((model.bert.pooler.dense, 'weight'))
parameters_to_prune = tuple(parameters_to_prune)
prune.global_unstructured(
parameters_to_prune,
pruning_method=prune.L1Unstructured,
amount=px,
)
def see_weight_rate(model):
sum_list = 0
zero_sum = 0
for ii in range(12):
sum_list = sum_list+float(model.bert.encoder.layer[ii].attention.self.query.weight.nelement())
zero_sum = zero_sum+float(torch.sum(model.bert.encoder.layer[ii].attention.self.query.weight == 0))
sum_list = sum_list+float(model.bert.encoder.layer[ii].attention.self.key.weight.nelement())
zero_sum = zero_sum+float(torch.sum(model.bert.encoder.layer[ii].attention.self.key.weight == 0))
sum_list = sum_list+float(model.bert.encoder.layer[ii].attention.self.value.weight.nelement())
zero_sum = zero_sum+float(torch.sum(model.bert.encoder.layer[ii].attention.self.value.weight == 0))
sum_list = sum_list+float(model.bert.encoder.layer[ii].attention.output.dense.weight.nelement())
zero_sum = zero_sum+float(torch.sum(model.bert.encoder.layer[ii].attention.output.dense.weight == 0))
sum_list = sum_list+float(model.bert.encoder.layer[ii].intermediate.dense.weight.nelement())
zero_sum = zero_sum+float(torch.sum(model.bert.encoder.layer[ii].intermediate.dense.weight == 0))
sum_list = sum_list+float(model.bert.encoder.layer[ii].output.dense.weight.nelement())
zero_sum = zero_sum+float(torch.sum(model.bert.encoder.layer[ii].output.dense.weight == 0))
sum_list = sum_list+float(model.bert.pooler.dense.weight.nelement())
zero_sum = zero_sum+float(torch.sum(model.bert.pooler.dense.weight == 0))
return 100*zero_sum/sum_list
config = BertConfig.from_pretrained(
'bert-base-uncased'
)
list_all = [['qqp',0.7],['qnli',0.5],['mrpc',0.4],['sst2',0.1],['cola',0.4]]
# rand = True
# for kkk in list_all:
# if rand:
# print('random')
# model = BertForSequenceClassification(config=config)
# output = 'random_mask2/'
# else:
# model = BertForSequenceClassification.from_pretrained(
# 'bert-base-uncased',
# from_tf=bool(".ckpt" in 'bert-base-uncased'),
# config=config
# )
# output = 'pretrain_mask2/'
# pruning_model(model, kkk[1])
# zero = see_weight_rate(model)
# print(kkk, zero)
# mask_dict = {}
# model_dict = model.state_dict()
# for key in model_dict.keys():
# if 'mask' in key:
# mask_dict[key] = model_dict[key]
# # print(key)
# torch.save(mask_dict, output+kkk[0]+'.pt')
# if rand:
# print('random')
# model = BertForQuestionAnswering(config = config)
# output = 'random_mask/'
# else:
# model = BertForQuestionAnswering.from_pretrained(
# 'bert-base-uncased',
# from_tf=bool(".ckpt" in 'bert-base-uncased'),
# config=config
# )
# output = 'pretrain_mask/'
# pruning_model(model, 0.7)
# zero = see_weight_rate(model)
# print('squad', zero)
# mask_dict = {}
# model_dict = model.state_dict()
# for key in model_dict.keys():
# if 'mask' in key:
# mask_dict[key] = model_dict[key]
# # print(key)
# torch.save(mask_dict, output+'squad.pt')
# if rand:
# print('random')
# model = BertForMaskedLM(config = config)
# output = 'random_mask2/'
# else:
# model = BertForMaskedLM.from_pretrained(
# 'bert-base-uncased',
# from_tf=bool(".ckpt" in 'bert-base-uncased'),
# config=config
# )
# output = 'pretrain_mask2/'
# pruning_model(model, 0.5)
# zero = see_weight_rate(model)
# print('pretrain', zero)
# mask_dict = {}
# model_dict = model.state_dict()
# for key in model_dict.keys():
# if 'mask' in key:
# mask_dict[key] = model_dict[key]
# # print(key)
# torch.save(mask_dict, output+'pretrain.pt')
rand = False
# for kkk in list_all:
# if rand:
# print('random')
# model = BertForSequenceClassification(config=config)
# output = 'random_mask2/'
# else:
# model = BertForSequenceClassification.from_pretrained(
# 'bert-base-uncased',
# from_tf=bool(".ckpt" in 'bert-base-uncased'),
# config=config
# )
# output = 'pretrain_mask2/'
# pruning_model(model, kkk[1])
# zero = see_weight_rate(model)
# print(kkk, zero)
# mask_dict = {}
# model_dict = model.state_dict()
# for key in model_dict.keys():
# if 'mask' in key:
# mask_dict[key] = model_dict[key]
# # print(key)
# torch.save(mask_dict, output+kkk[0]+'.pt')
# if rand:
# print('random')
# model = BertForQuestionAnswering(config = config)
# output = 'random_mask/'
# else:
# model = BertForQuestionAnswering.from_pretrained(
# 'bert-base-uncased',
# from_tf=bool(".ckpt" in 'bert-base-uncased'),
# config=config
# )
# output = 'pretrain_mask/'
# pruning_model(model, 0.7)
# zero = see_weight_rate(model)
# print('squad', zero)
# mask_dict = {}
# model_dict = model.state_dict()
# for key in model_dict.keys():
# if 'mask' in key:
# mask_dict[key] = model_dict[key]
# print(key)
# torch.save(mask_dict, output+'squad.pt')
if rand:
print('random')
model = BertForMaskedLM(config = config)
output = 'random_mask2/'
else:
model = BertForMaskedLM.from_pretrained(
'bert-base-uncased',
from_tf=bool(".ckpt" in 'bert-base-uncased'),
config=config
)
output = 'pretrain_mask2/'
pruning_model(model, 0.5)
zero = see_weight_rate(model)
print('pretrain', zero)
mask_dict = {}
model_dict = model.state_dict()
for key in model_dict.keys():
if 'mask' in key:
mask_dict[key] = model_dict[key]
# print(key)
torch.save(mask_dict, output+'pretrain.pt')
| 28.152263 | 109 | 0.643619 | 876 | 6,841 | 4.858447 | 0.101598 | 0.044408 | 0.067669 | 0.088816 | 0.894502 | 0.867716 | 0.867716 | 0.867716 | 0.859258 | 0.837171 | 0 | 0.008864 | 0.208449 | 6,841 | 242 | 110 | 28.268595 | 0.777101 | 0.466745 | 0 | 0.030769 | 0 | 0 | 0.049264 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030769 | false | 0 | 0.076923 | 0 | 0.123077 | 0.030769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
a79929660164bee98c746a3473da30ef9aa40c08 | 8,689 | py | Python | frameworks/helloworld/tests/test_quota_upgrade.py | iss-lab/dcos-commons | 16ed541a486d804e56463edf2d735de9e7320153 | [
"Apache-2.0"
] | null | null | null | frameworks/helloworld/tests/test_quota_upgrade.py | iss-lab/dcos-commons | 16ed541a486d804e56463edf2d735de9e7320153 | [
"Apache-2.0"
] | null | null | null | frameworks/helloworld/tests/test_quota_upgrade.py | iss-lab/dcos-commons | 16ed541a486d804e56463edf2d735de9e7320153 | [
"Apache-2.0"
] | null | null | null | import logging
import pytest
import sdk_cmd
import sdk_install
import sdk_plan
import sdk_marathon
import sdk_utils
import sdk_upgrade
from tests import config
log = logging.getLogger(__name__)
ENFORCED_ROLE = "quota"
SERVICE_NAME = "/{}/hello-world".format(ENFORCED_ROLE)
LEGACY_ROLE = "{}-role".format(SERVICE_NAME.strip("/").replace("/", "__"))
RECOVERY_TIMEOUT_SECONDS = 20 * 60
UPGRADE_FROM = "3.1.0-0.56.0"
@pytest.fixture(scope="module", autouse=True)
def configure_package(configure_security):
try:
sdk_install.uninstall(config.PACKAGE_NAME, SERVICE_NAME)
sdk_marathon.delete_group(group_id=ENFORCED_ROLE)
# create group with enforced-roles
sdk_marathon.create_group(group_id=ENFORCED_ROLE, options={"enforceRole": False})
yield # let the test session execute
finally:
sdk_install.uninstall(config.PACKAGE_NAME, SERVICE_NAME)
sdk_marathon.delete_group(group_id=ENFORCED_ROLE)
@pytest.mark.quota_test
@pytest.mark.quota_upgrade
@pytest.mark.dcos_min_version("1.14")
@pytest.mark.sanity
@pytest.mark.dependency()
def test_initial_upgrade():
options = {"service": {"name": SERVICE_NAME}}
sdk_upgrade.test_upgrade(
config.PACKAGE_NAME, SERVICE_NAME, 3, from_version=UPGRADE_FROM, from_options=options
)
# Get the current service state to verify roles have applied.
service_roles = sdk_utils.get_service_roles(SERVICE_NAME)
current_task_roles = service_roles["task-roles"]
# We must have some role!
assert len(current_task_roles) > 0
assert LEGACY_ROLE in current_task_roles.values()
assert ENFORCED_ROLE not in current_task_roles.values()
assert service_roles["framework-roles"] is None
assert service_roles["framework-role"] == ENFORCED_ROLE
@pytest.mark.quota_test
@pytest.mark.quota_upgrade
@pytest.mark.dcos_min_version("1.14")
@pytest.mark.sanity
@pytest.mark.dependency(depends=["test_initial_upgrade"])
def test_update_scheduler_role():
options = {
"service": {"name": SERVICE_NAME, "role": ENFORCED_ROLE, "enable_role_migration": True}
}
sdk_upgrade.update_or_upgrade_or_downgrade(
config.PACKAGE_NAME,
SERVICE_NAME,
expected_running_tasks=3,
to_options=options,
to_version=None,
)
# Get the current service state to verify roles have applied.
service_roles = sdk_utils.get_service_roles(SERVICE_NAME)
current_task_roles = service_roles["task-roles"]
# We must have some role!
assert len(current_task_roles) > 0
assert LEGACY_ROLE in current_task_roles.values()
# Pods haven't been replaced yet.
assert ENFORCED_ROLE not in current_task_roles.values()
# Ensure we are MULTI_ROLE.
assert service_roles["framework-roles"] is not None
assert service_roles["framework-role"] is None
assert len(service_roles["framework-roles"]) == 2
assert LEGACY_ROLE in service_roles["framework-roles"]
assert ENFORCED_ROLE in service_roles["framework-roles"]
@pytest.mark.quota_test
@pytest.mark.quota_upgrade
@pytest.mark.dcos_min_version("1.14")
@pytest.mark.sanity
@pytest.mark.dependency(depends=["test_update_scheduler_role"])
def test_replace_pods_to_new_role():
# Issue pod replace operations till we move the pods to the new role.
replace_pods = ["hello-0", "world-0", "world-1"]
for pod in replace_pods:
# start replace and wait for it to finish
sdk_cmd.svc_cli(config.PACKAGE_NAME, SERVICE_NAME, "pod replace {}".format(pod))
sdk_plan.wait_for_kicked_off_recovery(
SERVICE_NAME, timeout_seconds=RECOVERY_TIMEOUT_SECONDS
)
sdk_plan.wait_for_completed_recovery(SERVICE_NAME, timeout_seconds=RECOVERY_TIMEOUT_SECONDS)
# Get the current service state to verify roles have applied.
service_roles = sdk_utils.get_service_roles(SERVICE_NAME)
current_task_roles = service_roles["task-roles"]
task_name = "{}-server".format(pod)
# Ensure we have transitioned over to the new role.
assert current_task_roles[task_name] == ENFORCED_ROLE
# Get refreshed roles after pod replace's
service_roles = sdk_utils.get_service_roles(SERVICE_NAME)
current_task_roles = service_roles["task-roles"]
# We must have some role!
assert len(current_task_roles) > 0
assert LEGACY_ROLE not in current_task_roles.values()
assert ENFORCED_ROLE in current_task_roles.values()
# Ensure we're MULTI_ROLE
assert service_roles["framework-roles"] is not None
assert service_roles["framework-role"] is None
assert len(service_roles["framework-roles"]) == 2
assert LEGACY_ROLE in service_roles["framework-roles"]
assert ENFORCED_ROLE in service_roles["framework-roles"]
@pytest.mark.quota_test
@pytest.mark.quota_upgrade
@pytest.mark.dcos_min_version("1.14")
@pytest.mark.sanity
@pytest.mark.dependency(depends=["test_replace_pods_to_new_role"])
def test_add_pods_post_update():
# Add new pods to service which should be launched with the new role.
marathon_config = sdk_marathon.get_config(SERVICE_NAME)
# Add an extra pod to each.
marathon_config["env"]["HELLO_COUNT"] = "2"
marathon_config["env"]["WORLD_COUNT"] = "3"
# Update the app
sdk_marathon.update_app(marathon_config)
# Wait for scheduler to restart.
sdk_plan.wait_for_completed_deployment(SERVICE_NAME)
# Get the current service state to verify roles have applied.
service_roles = sdk_utils.get_service_roles(SERVICE_NAME)
current_task_roles = service_roles["task-roles"]
# We must have some role!
assert len(current_task_roles) > 0
assert len(current_task_roles) == 5
assert LEGACY_ROLE not in current_task_roles.values()
assert ENFORCED_ROLE in current_task_roles.values()
# Ensure we're MULTI_ROLE
assert service_roles["framework-roles"] is not None
assert service_roles["framework-role"] is None
assert len(service_roles["framework-roles"]) == 2
assert LEGACY_ROLE in service_roles["framework-roles"]
assert ENFORCED_ROLE in service_roles["framework-roles"]
@pytest.mark.quota_test
@pytest.mark.quota_upgrade
@pytest.mark.dcos_min_version("1.14")
@pytest.mark.sanity
@pytest.mark.dependency(depends=["test_add_pods_post_update"])
def test_disable_legacy_role_post_update():
# Add new pods to service which should be launched with the new role.
# Turn off legacy role.
options = {
"service": {"name": SERVICE_NAME, "role": "quota", "enable_role_migration": False},
"hello": {"count": 2},
"world": {"count": 3},
}
sdk_upgrade.update_or_upgrade_or_downgrade(
config.PACKAGE_NAME,
SERVICE_NAME,
expected_running_tasks=5,
to_options=options,
to_version=None,
)
# Get the current service state to verify roles have applied.
service_roles = sdk_utils.get_service_roles(SERVICE_NAME)
current_task_roles = service_roles["task-roles"]
# We must have some role!
assert len(current_task_roles) > 0
assert len(current_task_roles) == 5
assert LEGACY_ROLE not in current_task_roles.values()
assert ENFORCED_ROLE in current_task_roles.values()
# Ensure we're not MULTI_ROLE, and only using the enforced-role.
assert service_roles["framework-roles"] is None
assert service_roles["framework-role"] == ENFORCED_ROLE
@pytest.mark.quota_test
@pytest.mark.quota_upgrade
@pytest.mark.dcos_min_version("1.14")
@pytest.mark.sanity
@pytest.mark.dependency(depends=["test_disable_legacy_role_post_update"])
def test_more_pods_disable_legacy_role_post_update():
# Ensure we can scale out more still with legacy role disabled.
# Add new pods to service which should be launched with the new role.
marathon_config = sdk_marathon.get_config(SERVICE_NAME)
# Add an extra pod to each.
marathon_config["env"]["HELLO_COUNT"] = "3"
marathon_config["env"]["WORLD_COUNT"] = "4"
# Update the app
sdk_marathon.update_app(marathon_config)
# Wait for scheduler to restart.
sdk_plan.wait_for_completed_deployment(SERVICE_NAME)
# Get the current service state to verify roles have applied.
service_roles = sdk_utils.get_service_roles(SERVICE_NAME)
current_task_roles = service_roles["task-roles"]
# We must have some role!
assert len(current_task_roles) > 0
assert len(current_task_roles) == 7
assert LEGACY_ROLE not in current_task_roles.values()
assert ENFORCED_ROLE in current_task_roles.values()
# Ensure we're MULTI_ROLE
assert service_roles["framework-roles"] is None
assert service_roles["framework-role"] == ENFORCED_ROLE
| 33.678295 | 100 | 0.736218 | 1,221 | 8,689 | 4.951679 | 0.13104 | 0.083361 | 0.076745 | 0.064505 | 0.804003 | 0.764142 | 0.748925 | 0.735362 | 0.717168 | 0.702283 | 0 | 0.007346 | 0.16964 | 8,689 | 257 | 101 | 33.809339 | 0.830631 | 0.159742 | 0 | 0.623457 | 0 | 0 | 0.111631 | 0.021748 | 0 | 0 | 0 | 0 | 0.265432 | 1 | 0.04321 | false | 0 | 0.055556 | 0 | 0.098765 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
a7aa9c9621b0817e06ff185a09fe47b4c6f9ef2d | 376 | py | Python | 5 kyu/Numbers and its Reversal Having Same Prime Factors.py | mwk0408/codewars_solutions | 9b4f502b5f159e68024d494e19a96a226acad5e5 | [
"MIT"
] | 6 | 2020-09-03T09:32:25.000Z | 2020-12-07T04:10:01.000Z | 5 kyu/Numbers and its Reversal Having Same Prime Factors.py | mwk0408/codewars_solutions | 9b4f502b5f159e68024d494e19a96a226acad5e5 | [
"MIT"
] | 1 | 2021-12-13T15:30:21.000Z | 2021-12-13T15:30:21.000Z | 5 kyu/Numbers and its Reversal Having Same Prime Factors.py | mwk0408/codewars_solutions | 9b4f502b5f159e68024d494e19a96a226acad5e5 | [
"MIT"
] | null | null | null | def same_factRev(nMax): # nMax upper bound of the range to study
list=[1089, 2178, 4356, 6534, 8712, 9801, 10989, 21978, 24024, 26208, 42042, 43956, 48048, 61248, 65934, 80262, 84084, 84216, 87912, 98901, 109989, 219978, 231504, 234234, 242424, 253344, 255528, 264264, 272646, 275184, 277816, 288288, 405132, 424242, 432432, 439956]
return [i for i in list if nMax>=i] | 125.333333 | 271 | 0.712766 | 58 | 376 | 4.603448 | 0.913793 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.605096 | 0.164894 | 376 | 3 | 272 | 125.333333 | 0.245223 | 0.101064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
a7aeacc35b8fc2eda5ecd04bd0c99068038f1d3b | 199 | py | Python | tests/run/import_error_T734.py | matthew-brett/cython | f69ac182f690fb167259657a1c85d59298c66db4 | [
"Apache-2.0"
] | null | null | null | tests/run/import_error_T734.py | matthew-brett/cython | f69ac182f690fb167259657a1c85d59298c66db4 | [
"Apache-2.0"
] | null | null | null | tests/run/import_error_T734.py | matthew-brett/cython | f69ac182f690fb167259657a1c85d59298c66db4 | [
"Apache-2.0"
] | null | null | null | # mode: run
# ticket: 734
def test_import_error():
"""
>>> test_import_error()
Traceback (most recent call last):
ImportError: cannot import name xxx
"""
from sys import xxx
| 18.090909 | 39 | 0.633166 | 25 | 199 | 4.88 | 0.76 | 0.163934 | 0.245902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02027 | 0.256281 | 199 | 10 | 40 | 19.9 | 0.804054 | 0.58794 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 1 | 0 | 1.5 | 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 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ac020d10a5d55ecb369b0b5b9a14908a02bdf09e | 46 | py | Python | test/broken_sample.py | ramitsurana/nameko | 68e62683e825167452fb8c3146593e70079ec9bb | [
"Apache-2.0"
] | null | null | null | test/broken_sample.py | ramitsurana/nameko | 68e62683e825167452fb8c3146593e70079ec9bb | [
"Apache-2.0"
] | null | null | null | test/broken_sample.py | ramitsurana/nameko | 68e62683e825167452fb8c3146593e70079ec9bb | [
"Apache-2.0"
] | 1 | 2019-11-14T06:50:30.000Z | 2019-11-14T06:50:30.000Z | import non_existent
non_existent # pyflakes
| 11.5 | 24 | 0.826087 | 6 | 46 | 6 | 0.666667 | 0.611111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152174 | 46 | 3 | 25 | 15.333333 | 0.923077 | 0.173913 | 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 | 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 | 6 |
ac26a1e433d4ccff42ced533b35cb5cd03b861f1 | 8,034 | py | Python | post_processing_src/visualize.py | shangjingbo1226/ContrastSubgraphMining | ba2a34a813e2690c0ee7110e20a3f06509f5cdd6 | [
"Apache-2.0"
] | 12 | 2018-02-16T22:12:48.000Z | 2022-02-18T21:16:52.000Z | post_processing_src/visualize.py | shangjingbo1226/ContrastSubgraphMining | ba2a34a813e2690c0ee7110e20a3f06509f5cdd6 | [
"Apache-2.0"
] | null | null | null | post_processing_src/visualize.py | shangjingbo1226/ContrastSubgraphMining | ba2a34a813e2690c0ee7110e20a3f06509f5cdd6 | [
"Apache-2.0"
] | 3 | 2018-02-20T03:19:57.000Z | 2020-08-23T20:21:06.000Z |
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
from PIL import Image
import glob
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sn
import pandas as pd
prefix = "output/"
fileList = glob.glob(prefix + "*.out")
print "Generating Image"
for fi in fileList :
with open(fi, "r") as f :
graph = f.readline()
if graph[0:4] == "con " :
graph = graph[4:]
graph = (' '.join((graph[:-1]).split())).split(',')
gA = graph[0]
gB = graph[1]
terms = (f.readline()[:-2]).split(',')
terms = [ ' '.join(i.split()) for i in terms]
authors = (f.readline()[:-2]).split(',')
authors = [' '.join(i.split()) for i in authors]
n1 = len(authors)
n2 = len(terms)
mat1 = {}
mat2 = {}
minV = 65536.0
maxV = -1.0
for i in range(n1):
l = f.readline()
l = l[:-2]
l = l.split(',')
l = [float(it) for it in l]
for j, a in enumerate(l) :
mat1[(i,j)] = a
if a < minV : minV = a
if a > maxV : maxV = a
for i in range(n1):
l = f.readline()
l = l[:-2]
l = l.split(',')
l = [float(it) for it in l]
for j, a in enumerate(l) :
mat2[(i,j)] = a
if a < minV : minV = a
if a > maxV : maxV = a
magR = [[0.0, i] for i in range(n1)]
magC = [[0.0, i] for i in range(n2)]
for i in range(n1):
for j in range(n2):
magR[i][0] += mat1[(i,j)]
magC[j][0] += mat1[(i,j)]
magR = sorted(magR, reverse = True)
magC = sorted(magC, reverse = True)
tempM1 = [[0.0 for i in range(n2)] for j in range(n1)]
tempM2 = [[0.0 for i in range(n2)] for j in range(n1)]
for i,it in enumerate(magR):
for j,jt in enumerate(magC):
tempM1[i][j] = mat1[(it[1], jt[1])]
tempM2[i][j] = mat2[(it[1], jt[1])]
mat1 = tempM1
mat2 = tempM2
newAuthors = ["" for i in range(n1)]
newTerms = ["" for i in range(n2)]
for i,it in enumerate(magR):
newAuthors[i] = authors[it[1]]
for i,it in enumerate(magC):
newTerms[i] = terms[it[1]]
authors = newAuthors
terms = newTerms
df_cm = pd.DataFrame(mat1, index = authors, columns = terms)
plt.figure(figsize = (24,20))
sn.heatmap(df_cm, annot=False, vmin = minV, vmax = maxV, cmap="Greens")
plt.title(gA, fontsize = 40)
plt.xticks(rotation = 90, fontsize = 10)
plt.yticks(rotation = 0, fontsize = 18)
plt.savefig(fi + "_1.png")
plt.clf()
plt.close()
df_cm = pd.DataFrame(mat2, index = authors, columns = terms)
plt.figure(figsize = (24,20))
sn.heatmap(df_cm, annot=False, vmin = minV, vmax = maxV, cmap="Greens")
plt.title(gB, fontsize = 40)
plt.xticks(rotation = 90, fontsize = 10)
plt.yticks(rotation = 0, fontsize = 18)
plt.savefig(fi + "_2.png")
plt.clf()
plt.close()
images = map(Image.open, [fi+ "_1.png", fi + "_2.png"])
w,h = zip(*(i.size for i in images))
t_w = w[0] + int(3.8 / 5.0 * w[0])
t_h = max(h)
new_im = Image.new('RGB', (t_w, t_h))
x_off = 0
for im in images:
new_im.paste(im, (x_off, 0))
x_off += int(3.8 / 5.0 * im.size[0])
new_im.save(fi + "_bi.png")
else :
graph = (' '.join((graph[:-1]).split())).split(',')
gA = graph[0]
gB = graph[1]
num = int(f.readline())
if num == 0 :
continue
seeds = set((f.readline()[6:-2]).split(','))
authors = (f.readline()[:-2]).split(',')
table = [auth in seeds for auth in authors]
authors = [' '.join(i.split()) for i in authors]
mat1 = {}
mat2 = {}
minV = 65536.0
maxV = -1.0
for i in range(num):
l = f.readline()
l = l[:-2]
l = l.split(',')
l = [float(it) for it in l]
for j, a in enumerate(l) :
mat1[(i,j)] = a
if a < minV : minV = a
if a > maxV : maxV = a
for i in range(num):
l = f.readline()
l = l[:-2]
l = l.split(',')
l = [float(it) for it in l]
for j, a in enumerate(l) :
mat2[(i,j)] = a
if a < minV : minV = a
if a > maxV : maxV = a
magR = [[0.0, 0.0, i] for i in range(num)]
magC = [[0.0, 0.0, i] for i in range(num)]
for i in range(num):
for j in range(num):
magR[i][0] += mat1[(i,j)]
magC[j][0] += mat1[(i,j)]
for i in range(num):
for j in range(num):
magR[i][1] += mat2[(i,j)]
magC[j][1] += mat2[(i,j)]
magR = sorted(magR, reverse = True, key = lambda t : t[1])
magC = sorted(magC, reverse = True, key = lambda t : t[1])
magR = sorted(magR, reverse = True, key = lambda t : t[0])
magC = sorted(magC, reverse = True, key = lambda t : t[0])
magR = sorted(magR, key = lambda t : table[t[2]])
magC = sorted(magC, key = lambda t : table[t[2]])
tempM1 = [[0.0 for i in range(num)] for j in range(num)]
tempM2 = [[0.0 for i in range(num)] for j in range(num)]
for i,it in enumerate(magR):
for j, jt in enumerate(magC):
tempM1[i][j] = mat1[(it[2], jt[2])]
tempM2[i][j] = mat2[(it[2], jt[2])]
mat1 = tempM1
mat2 = tempM2
newAuthors = ["" for i in range(num)]
for i, it in enumerate(magR):
newAuthors[i] = authors[it[2]]
authors = newAuthors
empty = ["" for auth in authors]
df_cm = pd.DataFrame(mat1, index = authors, columns = authors)
plt.figure(figsize = (24,20))
sn.heatmap(df_cm, annot=False, vmin = minV, vmax = maxV, cmap="Greens")
plt.title(gA, fontsize = 40)
plt.xticks(rotation = 90)
plt.yticks(rotation = 0)
plt.savefig(fi + "_1.png")
plt.clf()
plt.close()
df_cm = pd.DataFrame(mat2, index = empty, columns = authors)
plt.figure(figsize = (24,20))
sn.heatmap(df_cm, annot=False, vmin = minV, vmax = maxV, cmap="Greens")
plt.title(gB, fontsize = 40)
plt.xticks(rotation = 90)
plt.yticks(rotation = 0)
plt.savefig(fi + "_2.png")
plt.clf()
plt.close()
images = map(Image.open, [fi+ "_1.png", fi + "_2.png"])
w,h = zip(*(i.size for i in images))
t_w = w[0] + int(2.70 / 5.0 * w[0])
t_h = max(h)
new_im = Image.new('RGB', (t_w, t_h))
images[1] = images[1].crop((int(0.50 / 5.0 * w[0]), 0, w[0], h[0]))
x_off = 0
for im in images:
new_im.paste(im, (x_off, 0))
x_off += int(3.80 / 5.0 * im.size[0])
new_im.save(fi + "_bi.png")
| 35.706667 | 83 | 0.423824 | 1,057 | 8,034 | 3.18543 | 0.131504 | 0.033264 | 0.040986 | 0.058806 | 0.802792 | 0.764182 | 0.749332 | 0.719632 | 0.686962 | 0.618949 | 0 | 0.048387 | 0.428927 | 8,034 | 224 | 84 | 35.866071 | 0.685484 | 0 | 0 | 0.637306 | 0 | 0 | 0.018429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.041451 | null | null | 0.005181 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
ac2f7fdba10d41c65557f4f5c832ed71cfbf6082 | 81 | py | Python | io/__init__.py | Cy4Shot/cyutils | 3ab37823559d682fe5bd1b21b3c7b8bd4d717456 | [
"MIT"
] | 1 | 2020-10-02T09:13:22.000Z | 2020-10-02T09:13:22.000Z | io/__init__.py | Cy4Shot/cyutils | 3ab37823559d682fe5bd1b21b3c7b8bd4d717456 | [
"MIT"
] | null | null | null | io/__init__.py | Cy4Shot/cyutils | 3ab37823559d682fe5bd1b21b3c7b8bd4d717456 | [
"MIT"
] | null | null | null | from . import colored_text
from . import message_boxes
from . import custom_error | 27 | 27 | 0.82716 | 12 | 81 | 5.333333 | 0.666667 | 0.46875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135802 | 81 | 3 | 28 | 27 | 0.914286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ac308a43152f7bc1c1a27f05e006d7a54cbdc14a | 25,830 | py | Python | tests/cli/test_cli.py | arunnthevapalan/great_expectations | 97f1481bcd1c3f4d8878c6f383f4e6f008b20cd1 | [
"Apache-2.0"
] | 1 | 2022-03-16T22:09:49.000Z | 2022-03-16T22:09:49.000Z | tests/cli/test_cli.py | draev/great_expectations | 317e15ee7e50f6e0d537b62154177440f33b795d | [
"Apache-2.0"
] | 53 | 2021-10-02T02:26:51.000Z | 2021-12-28T20:49:25.000Z | tests/cli/test_cli.py | draev/great_expectations | 317e15ee7e50f6e0d537b62154177440f33b795d | [
"Apache-2.0"
] | 1 | 2022-03-03T16:47:32.000Z | 2022-03-03T16:47:32.000Z | import os
from typing import List
from unittest import mock
import pytest
from click.testing import CliRunner, Result
from ruamel.yaml import YAML
from great_expectations import DataContext
from great_expectations import __version__ as ge_version
from great_expectations.cli import cli
from tests.cli.utils import assert_no_logging_messages_or_tracebacks
yaml = YAML()
yaml.default_flow_style = False
@pytest.mark.parametrize("invocation", [None, "--help", "--v3-api --help"])
def test_cli_command_help(caplog, invocation):
runner = CliRunner(mix_stderr=True)
result = runner.invoke(cli, invocation, catch_exceptions=False)
assert result.exit_code == 0
# Note that click 8.0 fixed a longstanding bug in 7.x which added empty
# lines in "Options". This test looks for chunks of output to support both.
assert (
"""Usage: great_expectations [OPTIONS] COMMAND [ARGS]...
Welcome to the great_expectations CLI!
Most commands follow this format: great_expectations <NOUN> <VERB>
The nouns are: checkpoint, datasource, docs, init, project, store, suite,
validation-operator. Most nouns accept the following verbs: new, list, edit"""
in result.output
)
assert (
"""Options:
--version Show the version and exit.
--v3-api / --v2-api Default to v3 (Batch Request) API. Use --v2-api for
v2 (Batch Kwargs) API"""
in result.output
)
assert (
" -v, --verbose Set great_expectations to use verbose output."
in result.output
)
assert (
""" -c, --config TEXT Path to great_expectations configuration file
location (great_expectations.yml). Inferred if not
provided."""
in result.output
)
assert (
""" -y, --assume-yes, --yes Assume "yes" for all prompts.
--help Show this message and exit.
"""
in result.output
)
assert (
"""
Commands:
checkpoint Checkpoint operations
datasource Datasource operations
docs Data Docs operations
init Initialize a new Great Expectations project.
project Project operations
store Store operations
suite Expectation Suite operations
"""
in result.output
)
assert_no_logging_messages_or_tracebacks(caplog, result)
def test_cli_command_invalid_command(caplog):
runner = CliRunner(mix_stderr=False)
result = runner.invoke(cli, "--v3-api blarg")
assert result.exit_code == 2
assert "Error: No such command" in result.stderr
assert ("'blarg'" in result.stderr) or ('"blarg"' in result.stderr)
def test_cli_ge_version_exists(caplog):
runner = CliRunner(mix_stderr=True)
result = runner.invoke(cli, "--v3-api --version", catch_exceptions=False)
assert ge_version in str(result.output)
assert_no_logging_messages_or_tracebacks(caplog, result)
def test_cli_works_from_adjacent_directory_without_config_flag(
monkeypatch, empty_data_context
):
"""We don't care about the NOUN here just combinations of the config flag"""
runner = CliRunner(mix_stderr=True)
monkeypatch.chdir(os.path.dirname(empty_data_context.root_directory))
result = runner.invoke(cli, "--v3-api checkpoint list", catch_exceptions=False)
assert result.exit_code == 0
assert "No Checkpoints found" in result.output
def test_cli_works_from_great_expectations_directory_without_config_flag(
monkeypatch, empty_data_context
):
"""We don't care about the NOUN here just combinations of the config flag"""
runner = CliRunner(mix_stderr=True)
monkeypatch.chdir(empty_data_context.root_directory)
result = runner.invoke(cli, "--v3-api checkpoint list", catch_exceptions=False)
assert result.exit_code == 0
assert "No Checkpoints found" in result.output
def test_cli_works_from_random_directory_with_config_flag_fully_specified_yml(
monkeypatch, empty_data_context, tmp_path_factory
):
"""We don't care about the NOUN here just combinations of the config flag"""
context = empty_data_context
runner = CliRunner(mix_stderr=True)
temp_dir = tmp_path_factory.mktemp("config_flag_check")
monkeypatch.chdir(temp_dir)
result = runner.invoke(
cli,
f"--config {context.root_directory}/great_expectations.yml --v3-api checkpoint list",
catch_exceptions=False,
)
assert result.exit_code == 0
assert "No Checkpoints found" in result.output
def test_cli_works_from_random_directory_with_config_flag_great_expectations_directory(
monkeypatch, empty_data_context, tmp_path_factory
):
"""We don't care about the NOUN here just combinations of the config flag"""
context = empty_data_context
runner = CliRunner(mix_stderr=True)
temp_dir = tmp_path_factory.mktemp("config_flag_check")
monkeypatch.chdir(temp_dir)
result = runner.invoke(
cli,
f"--config {context.root_directory} --v3-api checkpoint list",
catch_exceptions=False,
)
assert result.exit_code == 0
assert "No Checkpoints found" in result.output
def test_cli_works_from_random_directory_with_c_flag_fully_specified_yml(
monkeypatch, empty_data_context, tmp_path_factory
):
"""We don't care about the NOUN here just combinations of the config flag"""
context = empty_data_context
runner = CliRunner(mix_stderr=True)
temp_dir = tmp_path_factory.mktemp("config_flag_check")
monkeypatch.chdir(temp_dir)
result = runner.invoke(
cli,
f"-c {context.root_directory}/great_expectations.yml --v3-api checkpoint list",
catch_exceptions=False,
)
assert result.exit_code == 0
assert "No Checkpoints found" in result.output
def test_cli_works_from_random_directory_with_c_flag_great_expectations_directory(
monkeypatch, empty_data_context, tmp_path_factory
):
"""We don't care about the NOUN here just combinations of the config flag"""
context = empty_data_context
runner = CliRunner(mix_stderr=True)
temp_dir = tmp_path_factory.mktemp("config_flag_check")
monkeypatch.chdir(temp_dir)
result = runner.invoke(
cli,
f"-c {context.root_directory} --v3-api checkpoint list",
catch_exceptions=False,
)
assert result.exit_code == 0
assert "No Checkpoints found" in result.output
CONFIG_NOT_FOUND_ERROR_MESSAGE = "No great_expectations directory was found here!"
def test_cli_config_not_found_raises_error_for_datasource_list(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli, ["-c", "./", "--v3-api", "datasource", "list"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "datasource", "list"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_datasource_new(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli, ["-c", "./", "--v3-api", "datasource", "new"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "datasource", "new"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_datasource_delete(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli,
["-c", "./", "--v3-api", "datasource", "delete", "new"],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "datasource", "delete", "new"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_project_check_config(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli,
["-c", "./", "--v3-api", "project", "check-config"],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "project", "check-config"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_project_upgrade(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli,
["-c", "./", "--v3-api", "project", "upgrade"],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "project", "upgrade"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_store_list(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli, ["-c", "./", "--v3-api", "store", "list"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(cli, ["--v3-api", "store", "list"], catch_exceptions=False)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_suite_new(tmp_path_factory, monkeypatch):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli, ["-c", "./", "--v3-api", "suite", "new"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(cli, ["--v3-api", "suite", "new"], catch_exceptions=False)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_suite_list(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli, ["-c", "./", "--v3-api", "suite", "list"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(cli, ["--v3-api", "suite", "list"], catch_exceptions=False)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_suite_scaffold(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli,
["-c", "./", "--v3-api", "suite", "new", "--profile", "--interactive"],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli,
["--v3-api", "suite", "new", "--profile", "--interactive"],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_suite_edit(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli, ["-c", "./", "--v3-api", "suite", "edit", "FAKE"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "suite", "edit", "FAKE"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_suite_delete(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli, ["-c", "./", "suite", "delete", "deleteme"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "suite", "delete", "deleteme"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_checkpoint_new(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli, ["-c", "./", "--v3-api", "checkpoint", "new"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "checkpoint", "new"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_checkpoint_list(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli, ["-c", "./", "--v3-api", "checkpoint", "list"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "checkpoint", "list"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_checkpoint_delete(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli,
["-c", "./", "--v3-api", "checkpoint", "delete", "deleteme"],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "checkpoint", "delete", "deleteme"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_docs_clean(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli,
[
"-c",
"./",
"--v3-api",
"docs",
"clean",
],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(cli, ["--v3-api", "docs", "clean"], catch_exceptions=False)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_docs_list(tmp_path_factory, monkeypatch):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli,
[
"-c",
"./",
"--v3-api",
"docs",
"list",
],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(cli, ["--v3-api", "docs", "list"], catch_exceptions=False)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
def test_cli_config_not_found_raises_error_for_docs_build(
tmp_path_factory, monkeypatch
):
tmp_dir = str(tmp_path_factory.mktemp("test_cli_config_not_found"))
monkeypatch.chdir(tmp_dir)
runner = CliRunner(mix_stderr=True)
result = runner.invoke(
cli,
["-c", "./", "--v3-api", "docs", "build", "--no-view"],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli,
["-c", "./", "--v3-api", "docs", "build", "--no-view"],
catch_exceptions=False,
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
result = runner.invoke(
cli, ["--v3-api", "docs", "build", "--no-view"], catch_exceptions=False
)
assert CONFIG_NOT_FOUND_ERROR_MESSAGE in result.output
@mock.patch(
"great_expectations.core.usage_statistics.usage_statistics.UsageStatisticsHandler.emit"
)
def test_assume_yes_using_full_flag_using_checkpoint_delete(
mock_emit,
caplog,
monkeypatch,
empty_context_with_checkpoint_v1_stats_enabled,
):
"""
What does this test and why?
All versions of the --assume-yes flag (--assume-yes/--yes/-y) should behave the same.
"""
context: DataContext = empty_context_with_checkpoint_v1_stats_enabled
monkeypatch.chdir(os.path.dirname(context.root_directory))
runner: CliRunner = CliRunner(mix_stderr=False)
checkpoint_name: str = "my_v1_checkpoint"
result: Result = runner.invoke(
cli,
f"--v3-api --assume-yes checkpoint delete {checkpoint_name}",
catch_exceptions=False,
)
stdout: str = result.stdout
assert result.exit_code == 0
assert (
f'Are you sure you want to delete the Checkpoint "{checkpoint_name}" (this action is irreversible)?'
not in stdout
)
# This assertion is extra assurance since this test is too permissive if we change the confirmation message
assert "[Y/n]" not in stdout
assert 'Checkpoint "my_v1_checkpoint" deleted.' in stdout
expected_call_args_list = [
mock.call(
{"event_payload": {}, "event": "data_context.__init__", "success": True}
),
mock.call(
{
"event": "cli.checkpoint.delete.begin",
"event_payload": {"api_version": "v3"},
"success": True,
}
),
mock.call(
{
"event": "cli.checkpoint.delete.end",
"event_payload": {"api_version": "v3"},
"success": True,
}
),
]
assert mock_emit.call_count == len(expected_call_args_list)
assert mock_emit.call_args_list == expected_call_args_list
assert_no_logging_messages_or_tracebacks(
caplog,
result,
)
result = runner.invoke(
cli,
f"--v3-api checkpoint list",
catch_exceptions=False,
)
stdout = result.stdout
assert result.exit_code == 0
assert "No Checkpoints found." in stdout
@mock.patch(
"great_expectations.core.usage_statistics.usage_statistics.UsageStatisticsHandler.emit"
)
def test_assume_yes_using_yes_flag_using_checkpoint_delete(
mock_emit,
caplog,
monkeypatch,
empty_context_with_checkpoint_v1_stats_enabled,
):
"""
What does this test and why?
All versions of the --assume-yes flag (--assume-yes/--yes/-y) should behave the same.
"""
context: DataContext = empty_context_with_checkpoint_v1_stats_enabled
monkeypatch.chdir(os.path.dirname(context.root_directory))
runner: CliRunner = CliRunner(mix_stderr=False)
checkpoint_name: str = "my_v1_checkpoint"
result: Result = runner.invoke(
cli,
f"--v3-api --yes checkpoint delete {checkpoint_name}",
catch_exceptions=False,
)
stdout: str = result.stdout
assert result.exit_code == 0
assert (
f'Are you sure you want to delete the Checkpoint "{checkpoint_name}" (this action is irreversible)?'
not in stdout
)
# This assertion is extra assurance since this test is too permissive if we change the confirmation message
assert "[Y/n]" not in stdout
assert 'Checkpoint "my_v1_checkpoint" deleted.' in stdout
expected_call_args_list = [
mock.call(
{"event_payload": {}, "event": "data_context.__init__", "success": True}
),
mock.call(
{
"event": "cli.checkpoint.delete.begin",
"event_payload": {"api_version": "v3"},
"success": True,
}
),
mock.call(
{
"event": "cli.checkpoint.delete.end",
"event_payload": {"api_version": "v3"},
"success": True,
}
),
]
assert mock_emit.call_count == len(expected_call_args_list)
assert mock_emit.call_args_list == expected_call_args_list
assert_no_logging_messages_or_tracebacks(
caplog,
result,
)
result = runner.invoke(
cli,
f"--v3-api checkpoint list",
catch_exceptions=False,
)
stdout = result.stdout
assert result.exit_code == 0
assert "No Checkpoints found." in stdout
@mock.patch(
"great_expectations.core.usage_statistics.usage_statistics.UsageStatisticsHandler.emit"
)
def test_assume_yes_using_y_flag_using_checkpoint_delete(
mock_emit,
caplog,
monkeypatch,
empty_context_with_checkpoint_v1_stats_enabled,
):
"""
What does this test and why?
All versions of the --assume-yes flag (--assume-yes/--yes/-y) should behave the same.
"""
context: DataContext = empty_context_with_checkpoint_v1_stats_enabled
monkeypatch.chdir(os.path.dirname(context.root_directory))
runner: CliRunner = CliRunner(mix_stderr=False)
checkpoint_name: str = "my_v1_checkpoint"
result: Result = runner.invoke(
cli,
f"--v3-api -y checkpoint delete {checkpoint_name}",
catch_exceptions=False,
)
stdout: str = result.stdout
assert result.exit_code == 0
assert (
f'Are you sure you want to delete the Checkpoint "{checkpoint_name}" (this action is irreversible)?'
not in stdout
)
# This assertion is extra assurance since this test is too permissive if we change the confirmation message
assert "[Y/n]" not in stdout
assert 'Checkpoint "my_v1_checkpoint" deleted.' in stdout
expected_call_args_list = [
mock.call(
{"event_payload": {}, "event": "data_context.__init__", "success": True}
),
mock.call(
{
"event": "cli.checkpoint.delete.begin",
"event_payload": {"api_version": "v3"},
"success": True,
}
),
mock.call(
{
"event": "cli.checkpoint.delete.end",
"event_payload": {"api_version": "v3"},
"success": True,
}
),
]
assert mock_emit.call_count == len(expected_call_args_list)
assert mock_emit.call_args_list == expected_call_args_list
assert_no_logging_messages_or_tracebacks(
caplog,
result,
)
result = runner.invoke(
cli,
f"--v3-api checkpoint list",
catch_exceptions=False,
)
stdout = result.stdout
assert result.exit_code == 0
assert "No Checkpoints found." in stdout
@mock.patch(
"great_expectations.core.usage_statistics.usage_statistics.UsageStatisticsHandler.emit"
)
def test_using_assume_yes_flag_on_command_with_no_assume_yes_implementation(
mock_emit,
caplog,
monkeypatch,
titanic_pandas_data_context_with_v013_datasource_stats_enabled_with_checkpoints_v1_with_templates,
):
"""
What does this test and why?
The --assume-yes flag should not cause issues when run with commands that do not implement any logic based on it.
"""
context: DataContext = titanic_pandas_data_context_with_v013_datasource_stats_enabled_with_checkpoints_v1_with_templates
monkeypatch.chdir(os.path.dirname(context.root_directory))
runner: CliRunner = CliRunner(mix_stderr=False)
result: Result = runner.invoke(
cli,
f"--v3-api --assume-yes checkpoint list",
catch_exceptions=False,
)
stdout: str = result.stdout
assert result.exit_code == 0
assert "Found 8 Checkpoints." in stdout
checkpoint_names_list: List[str] = [
"my_simple_checkpoint_with_slack_and_notify_with_all",
"my_nested_checkpoint_template_1",
"my_nested_checkpoint_template_3",
"my_nested_checkpoint_template_2",
"my_simple_checkpoint_with_site_names",
"my_minimal_simple_checkpoint",
"my_simple_checkpoint_with_slack",
"my_simple_template_checkpoint",
]
assert all([checkpoint_name in stdout for checkpoint_name in checkpoint_names_list])
expected_call_args_list = [
mock.call(
{"event_payload": {}, "event": "data_context.__init__", "success": True}
),
mock.call(
{
"event": "cli.checkpoint.list.begin",
"event_payload": {"api_version": "v3"},
"success": True,
}
),
mock.call(
{
"event": "cli.checkpoint.list.end",
"event_payload": {"api_version": "v3"},
"success": True,
}
),
]
assert mock_emit.call_count == len(expected_call_args_list)
assert mock_emit.call_args_list == expected_call_args_list
assert_no_logging_messages_or_tracebacks(
caplog,
result,
)
| 34.121532 | 124 | 0.6777 | 3,225 | 25,830 | 5.109457 | 0.07969 | 0.038233 | 0.059473 | 0.064996 | 0.868309 | 0.859388 | 0.853805 | 0.853805 | 0.850831 | 0.844884 | 0 | 0.005198 | 0.217964 | 25,830 | 756 | 125 | 34.166667 | 0.810545 | 0.053271 | 0 | 0.687296 | 0 | 0 | 0.177735 | 0.063006 | 0 | 0 | 0 | 0 | 0.153094 | 1 | 0.04886 | false | 0 | 0.016287 | 0 | 0.065147 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
ac5f8fe8da8c1c9038f312f620b35fa777434a85 | 141 | py | Python | Dassl/dassl/data/datasets/__init__.py | xch-liu/geom-tex-dg | 59a93684ae13e7d962908e9971fcbfba66d90b80 | [
"MIT"
] | null | null | null | Dassl/dassl/data/datasets/__init__.py | xch-liu/geom-tex-dg | 59a93684ae13e7d962908e9971fcbfba66d90b80 | [
"MIT"
] | null | null | null | Dassl/dassl/data/datasets/__init__.py | xch-liu/geom-tex-dg | 59a93684ae13e7d962908e9971fcbfba66d90b80 | [
"MIT"
] | null | null | null | from .build import DATASET_REGISTRY, build_dataset # isort:skip
from .base_dataset import Datum, DatasetBase # isort:skip
from .dg import *
| 28.2 | 63 | 0.794326 | 20 | 141 | 5.45 | 0.55 | 0.165138 | 0.238532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134752 | 141 | 4 | 64 | 35.25 | 0.893443 | 0.148936 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ac7047021c6e97dd6f5b0785171f7b58e121ef68 | 97 | py | Python | absen/admin/__init__.py | petr0max/absensi | 79eb2d9ad9ff76eb59a1353d5d9d44a4822a7b92 | [
"MIT"
] | null | null | null | absen/admin/__init__.py | petr0max/absensi | 79eb2d9ad9ff76eb59a1353d5d9d44a4822a7b92 | [
"MIT"
] | null | null | null | absen/admin/__init__.py | petr0max/absensi | 79eb2d9ad9ff76eb59a1353d5d9d44a4822a7b92 | [
"MIT"
] | null | null | null | from flask import Blueprint
admins = Blueprint('admins', __name__)
from . import models, views
| 16.166667 | 38 | 0.762887 | 12 | 97 | 5.833333 | 0.666667 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.154639 | 97 | 5 | 39 | 19.4 | 0.853659 | 0 | 0 | 0 | 0 | 0 | 0.061856 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0.666667 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 6 |
ac73c3616af6dc5ead777e4c1e6ffdf703dcf3a6 | 39,922 | py | Python | odin/utils/dynamical_systems.py | sdi1100041/SLEIPNIR | 02dd3eca8574899fd3f0e287b1a050e76e5ba0de | [
"MIT"
] | 2 | 2020-08-09T08:25:57.000Z | 2020-12-15T03:34:37.000Z | odin/utils/dynamical_systems.py | sdi1100041/SLEIPNIR | 02dd3eca8574899fd3f0e287b1a050e76e5ba0de | [
"MIT"
] | null | null | null | odin/utils/dynamical_systems.py | sdi1100041/SLEIPNIR | 02dd3eca8574899fd3f0e287b1a050e76e5ba0de | [
"MIT"
] | 1 | 2020-04-07T12:15:39.000Z | 2020-04-07T12:15:39.000Z | """
Dynamical Systems needed to create the data for the experiments.
Gabriele Abbati, Machine Learning Research Group, University of Oxford
February 2019
"""
# Libraries
from abc import ABC, abstractmethod
import numpy as np
from typing import Union, Tuple
from scipy.integrate import ode
from scipy.optimize import fsolve
class DynamicalSystem(ABC):
"""
Abstract class for a dynamical system. Includes an ODE solver based on
scipy.
"""
def __init__(self, dimensionality: int,
true_param: Union[list, np.array],
noise_variance: float = 0.0,
stn_ratio: float = None):
"""
General Constructor.
:param dimensionality: dimension of the state of the system;
:param true_param: true parameters of the system;
:param noise_variance: variance of the observation noise, if different
from zero it overwrites the signal to noise ratio;
:param stn_ratio: signal to noise ratio (variance should be set to zero
if the stn_ratio is different than None).
"""
self.dim = dimensionality
self.theta = np.array(true_param)
self.mean = 0.0
self.variance = noise_variance
self.system_ode = ode(self._system_ode).set_integrator('vode',
method='bdf')
self.stn_ratio = stn_ratio
return
@staticmethod
@abstractmethod
def _system_ode(t: float, y: np.array,
theta: np.array) -> list:
"""
Describes the overall evolution of the system in the form:
dy / dt = f( t, y, args)
Needed by scipy.
:param t: time, needed in arguments even if it's not directly used;
:param y: current state;
:param theta: arguments and parameters of the system.
:return: the f function so built.
"""
return []
def simulate(self, initial_state: Union[list, np.array],
initial_time: float, final_time: float,
t_delta_integration: float) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals.
:return: a numpy array containing the integrated dynamical system (of
size [n_states, n_points]) and a numpy array containing the time stamps.
"""
system = np.copy(initial_state).reshape(self.dim, 1)
t = [initial_time]
self.system_ode.set_initial_value(initial_state,
initial_time).set_f_params(self.theta)
while self.system_ode.successful() and self.system_ode.t < final_time:
self.system_ode.integrate(self.system_ode.t + t_delta_integration)
system = np.c_[system, self.system_ode.y.reshape(self.dim, 1)]
t.append(self.system_ode.t)
return system, np.array(t)
def observe(self, initial_state: Union[list, np.array],
initial_time: float, final_time: float,
t_delta_integration: float,
t_delta_observation: float) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver and extract the
noisy observations.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals;
:param t_delta_observation: time between observation intervals.
:return: a numpy array containing the noisy observations of the
integrated dynamical system (of size [n_states, n_points])
and a numpy array containing the time stamps.
"""
[system, t] = self.simulate(initial_state,
initial_time,
final_time,
t_delta_integration)
t_obs = np.arange(initial_time, final_time + t_delta_observation,
t_delta_observation)
observed_system = np.zeros([self.dim, t_obs.shape[0]])
for n in range(self.dim):
observed_system[n, :] = np.interp(t_obs, t, system[n, :])
if self.variance != 0.0:
noise = np.random.normal(loc=0.0, scale=np.sqrt(self.variance),
size=observed_system.shape)
observed_system += noise.reshape(observed_system.shape)
if self.stn_ratio:
std_devs_signal = np.std(observed_system, axis=1)
std_devs_noise = std_devs_signal / np.sqrt(self.stn_ratio)
noise = np.random.normal(loc=0.0, scale=1.0,
size=observed_system.shape)
for n in range(self.dim):
noise[n, :] = noise[n, :] * std_devs_noise[n]
observed_system += noise.reshape(observed_system.shape)
return observed_system, t_obs.reshape(-1, 1)
def observe_at_t(self, initial_state: Union[list, np.array],
initial_time: float, final_time: float,
t_delta_integration: float,
t_observations: np.array):
""""
Integrate the system using an scipy built-in ODE solver and extract the
noisy observations, computed at the time stamps specified in
t_observations.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals;
:param t_observations: time stamps at which observe the system.
:return: a numpy array containing the noisy observations of the
integrated dynamical system (of size [n_states, n_points])
and a numpy array containing the time stamps.
"""
[system, t] = self.simulate(initial_state,
initial_time,
final_time,
t_delta_integration)
t_obs = t_observations
observed_system = np.zeros([self.dim, t_obs.shape[0]])
for n in range(self.dim):
observed_system[n, :] = np.interp(t_obs, t, system[n, :])
if self.variance != 0.0:
noise = np.random.normal(loc=0.0, scale=np.sqrt(self.variance),
size=observed_system.shape)
observed_system += noise.reshape(observed_system.shape)
if self.stn_ratio:
std_devs_signal = np.std(observed_system, axis=1)
std_devs_noise = std_devs_signal / np.sqrt(self.stn_ratio)
noise = np.random.normal(loc=0.0, scale=1.0,
size=observed_system.shape)
for n in range(self.dim):
noise[n, :] = noise[n, :] * std_devs_noise[n]
observed_system += noise.reshape(observed_system.shape)
return observed_system, t_obs.reshape(-1, 1)
class LotkaVolterra(DynamicalSystem):
"""
2D Lotka-Volterra ODE.
"""
def __init__(self,
true_param: Union[list, np.array] = (2.0, 1.0, 4.0, 1.0),
noise_variance: float = 0.1 ** 2,
stn_ratio: float = None):
"""
Constructor.
:param true_param: true parameters of the system;
:param noise_variance: variance of the observation noise, if different
from zero it overwrites the signal to noise ratio;
:param stn_ratio: signal to noise ratio (variance should be set to zero
if the stn_ratio is different than None).
"""
super(LotkaVolterra, self).__init__(2,
true_param,
noise_variance,
stn_ratio)
assert self.theta.shape[0] == 4,\
"Error: length of true_param should be 4"
return
@staticmethod
def _system_ode(t: float, y: np.array,
theta: np.array) -> list:
"""
Describes the overall evolution of the system in the form:
dy / dt = f( t, y, args)
Needed by scipy.
:param t: time, needed in arguments even if it's not directly used;
:param y: current state;
:param theta: arguments and parameters of the system.
:return: the f function so built.
"""
f = [theta[0] * y[0] - theta[1] * y[0] * y[1],
- theta[2] * y[1] + theta[3] * y[0] * y[1]]
return f
def simulate(self,
initial_state: Union[list, np.array] = (5.0, 3.0),
initial_time: float = 0.0,
final_time: float = 2.0,
t_delta_integration: float = 0.01)\
-> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals.
:return: a numpy array containing the integrated dynamical system (of
size [n_states, n_points]) and a numpy array containing the time stamps.
"""
system, t = super(LotkaVolterra, self).simulate(initial_state,
initial_time,
final_time,
t_delta_integration)
return system, t
def observe(self, initial_state: Union[list, np.array] = (5.0, 3.0),
initial_time: float = 0.0,
final_time: float = 2.0,
t_delta_integration: float = 0.01,
t_delta_observation: float = 0.1) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver and extract the
noisy observations.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals;
:param t_delta_observation: time between observation intervals.
:return: a numpy array containing the noisy observations of the
integrated dynamical system (of size [n_states, n_points])
and a numpy array containing the time stamps.
"""
observed_system, t = super(LotkaVolterra,
self).observe(initial_state,
initial_time,
final_time,
t_delta_integration,
t_delta_observation)
return observed_system, t
class FitzHughNagumo(DynamicalSystem):
"""
2D FitzHugh-Nagumo ODE.
"""
def __init__(self,
true_param: Union[list, np.array] = (0.2, 0.2, 3.0),
noise_variance: float = 0.0,
stn_ratio: float = None):
"""
Constructor.
:param true_param: true parameters of the system;
:param noise_variance: variance of the observation noise, if different
from zero it overwrites the signal to noise ratio;
:param stn_ratio: signal to noise ratio (variance should be set to zero
if the stn_ratio is different than None).
"""
super(FitzHughNagumo, self).__init__(2,
true_param,
noise_variance,
stn_ratio)
assert self.theta.shape[0] == 3,\
"Error: length of true_param should be 3"
return
@staticmethod
def _system_ode(t: float, y: np.array,
theta: np.array) -> list:
"""
Describes the overall evolution of the system in the form:
dy / dt = f( t, y, args)
Needed by scipy.
:param t: time, needed in arguments even if it's not directly used;
:param y: current state;
:param theta: arguments and parameters of the system.
:return: the f function so built.
"""
f = [theta[2] * (y[0] - y[0]**3 / 3.0 + y[1]),
- 1.0 / theta[2] * (y[0] - theta[0] + theta[1] * y[1])]
return f
def simulate(self,
initial_state: Union[list, np.array] = (-1.0, 1.0),
initial_time: float = 0.0,
final_time: float = 20.0,
t_delta_integration: float = 0.01)\
-> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals.
:return: a numpy array containing the integrated dynamical system (of
size [n_states, n_points]) and a numpy array containing the time stamps.
"""
system, t = super(FitzHughNagumo, self).simulate(initial_state,
initial_time,
final_time,
t_delta_integration)
return system, t
def observe(self,
initial_state: Union[list, np.array] = (-1.0, 1.0),
initial_time: float = 0.0,
final_time: float = 20.0,
t_delta_integration: float = 0.01,
t_delta_observation: float = 0.5) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver and extract the
noisy observations.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals;
:param t_delta_observation: time between observation intervals.
:return: a numpy array containing the noisy observations of the
integrated dynamical system (of size [n_states, n_points])
and a numpy array containing the time stamps.
"""
observed_system, t = super(FitzHughNagumo,
self).observe(initial_state,
initial_time,
final_time,
t_delta_integration,
t_delta_observation)
return observed_system, t
class ProteinTransduction(DynamicalSystem):
"""
Protein transduction system, Vyshemirsky and Girolami, 2008. With coherent
notation, y = [S, dS, R, R_s, R_pp]
"""
def __init__(self,
true_param: np.array = np.array([0.07, 0.6, 0.05, 0.3,
0.017, 0.3]),
noise_variance: float = 0.001**2,
stn_ratio: float = 0.0):
"""
Constructor.
:param true_param: true parameters of the system;
:param noise_variance: variance of the observation noise, if different
from zero it overwrites the signal to noise ratio;
:param stn_ratio: signal to noise ratio (variance should be set to zero
if the stn_ratio is different than None).
"""
super(ProteinTransduction, self).__init__(5,
true_param,
noise_variance,
stn_ratio)
assert self.theta.shape[0] == 6,\
"Error: length of true_param should be 6"
return
@staticmethod
def _system_ode(t: float, y: np.array,
theta: np.array) -> list:
"""
Describes the overall evolution of the system in the form:
dy / dt = f( t, y, args)
Needed by scipy.
:param t: time, needed in arguments even if it's not directly used;
:param y: current state;
:param theta: arguments and parameters of the system.
:return: the f function so built.
"""
f = [- theta[0] * y[0] - theta[1] * y[0] * y[2] + theta[2] * y[3],
theta[0] * y[0],
- theta[1] * y[0] * y[2] + theta[2] * y[3] +
theta[4] * y[4] / (theta[5] + y[4]),
theta[1] * y[0] * y[2] - theta[2] * y[3] - theta[3] * y[3],
theta[3] * y[3] - theta[4] * y[4] / (theta[5] + y[4])]
return f
def simulate(self, initial_state: Union[list, np.array] = (1.0, 0.0, 1.0,
0.0, 0.0),
initial_time: float = 0.0,
final_time: float = 100.0,
t_delta_integration: float = 0.1) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals.
:return: a numpy array containing the integrated dynamical system (of
size [n_states, n_points]) and a numpy array containing the time stamps.
"""
system, t = super(ProteinTransduction,
self).simulate(initial_state,
initial_time,
final_time,
t_delta_integration)
return system, t
def observe(self, initial_state: Union[list, np.array] = (1.0, 0.0, 1.0,
0.0, 0.0),
initial_time: float = 0.0,
final_time: float = 100.0,
t_delta_integration: float = 0.1,
t_delta_observation: float = 10.0) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver and extract the
noisy observations.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals;
:param t_delta_observation: time between observation intervals.
:return: a numpy array containing the noisy observations of the
integrated dynamical system (of size [n_states, n_points])
and a numpy array containing the time stamps.
"""
observed_system, t = super(ProteinTransduction,
self).observe(initial_state,
initial_time,
final_time,
t_delta_integration,
t_delta_observation)
return observed_system, t
class Lorenz96(DynamicalSystem):
"""
Lorenz 96 Attractor, n_states different ODEs.
"""
def __init__(self,
n_states: int = 40,
true_param: float = 8.0,
noise_variance: float = 1.0,
stn_ratio: float = None):
"""
Constructor.
:param true_param: true parameters of the system;
:param noise_variance: variance of the observation noise, if different
from zero it overwrites the signal to noise ratio;
:param stn_ratio: signal to noise ratio (variance should be set to zero
if the stn_ratio is different than None).
"""
self.n_states = n_states
super(Lorenz96, self).__init__(n_states,
true_param,
noise_variance,
stn_ratio)
return
@staticmethod
def _system_ode(t: float, y: np.array,
theta: np.array) -> list:
"""
Describes the overall evolution of the system in the form:
dy / dt = f( t, y, args)
Needed by scipy.
:param t: time, needed in arguments even if it's not directly used;
:param y: current state;
:param theta: arguments and parameters of the system.
:return: the f function so built.
"""
n_states = y.shape[0]
f = [(y[1] - y[n_states - 2]) * y[n_states - 1] - y[0] + theta,
(y[2] - y[n_states - 1]) * y[0] - y[1] + theta]
for n in range(2, n_states - 1):
state_derivative = (y[n + 1] - y[n - 2]) * y[n - 1] - y[n] + theta
f.append(state_derivative)
state_derivative = (y[0] - y[n_states - 3])\
* y[n_states - 2] - y[n_states - 1] + theta
f.append(state_derivative)
return f
def simulate(self, initial_state: Union[list, np.array] = 1.0,
initial_time: float = 0.0,
final_time: float = 4.0,
t_delta_integration: float = 0.01)\
-> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals.
:return: a numpy array containing the integrated dynamical system (of
size [n_states, n_points]) and a numpy array containing the time stamps.
"""
initial_state_vector = initial_state * np.ones(self.n_states)\
+ np.random.normal(0.0, 0.01, self.n_states)
system, t = super(Lorenz96, self).simulate(initial_state_vector,
initial_time,
final_time,
t_delta_integration)
return system, t
def observe(self, initial_state: Union[list, np.array] = 1.0,
initial_time: float = 0.0,
final_time: float = 20.0,
t_delta_integration: float = 0.01,
t_delta_observation: float = 0.2) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver and extract the
noisy observations.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals;
:param t_delta_observation: time between observation intervals.
:return: a numpy array containing the noisy observations of the
integrated dynamical system (of size [n_states, n_points])
and a numpy array containing the time stamps.
"""
observed_system, t = super(Lorenz96,
self).observe(initial_state,
initial_time,
final_time,
t_delta_integration,
t_delta_observation)
return observed_system, t
class Lorenz63(DynamicalSystem):
"""
2D FitzHugh-Nagumo ODE.
"""
def __init__(self,
true_param: Union[list, np.array] = (10.0, 28.0, 8.0/3.0),
noise_variance: float = 0.0,
stn_ratio: float = None):
"""
Constructor.
:param true_param: true parameters of the system;
:param noise_variance: variance of the observation noise, if different
from zero it overwrites the signal to noise ratio;
:param stn_ratio: signal to noise ratio (variance should be set to zero
if the stn_ratio is different than None).
"""
super(Lorenz63, self).__init__(3,
true_param,
noise_variance,
stn_ratio)
assert self.theta.shape[0] == 3,\
"Error: length of true_param should be 3"
return
@staticmethod
def _system_ode(t: float, y: np.array,
theta: np.array) -> list:
"""
Describes the overall evolution of the system in the form:
dy / dt = f( t, y, args)
Needed by scipy.
:param t: time, needed in arguments even if it's not directly used;
:param y: current state;
:param theta: arguments and parameters of the system.
:return: the f function so built.
"""
f = [theta[0]*(y[1] - y[0]),
y[0]*(theta[1] - y[2]) - y[1],
y[0]*y[1] - theta[2]*y[2]]
return f
def simulate(self,
initial_state: Union[list, np.array] = (1.0, 1.0, 1.0),
initial_time: float = 0.0,
final_time: float = 10.0,
t_delta_integration: float = 0.01)\
-> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals.
:return: a numpy array containing the integrated dynamical system (of
size [n_states, n_points]) and a numpy array containing the time stamps.
"""
system, t = super(Lorenz63, self).simulate(initial_state,
initial_time,
final_time,
t_delta_integration)
return system, t
def observe(self,
initial_state: Union[list, np.array] = (1.0, 1.0, 1.0),
initial_time: float = 0.0,
final_time: float = 10.0,
t_delta_integration: float = 0.01,
t_delta_observation: float = 0.5) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver and extract the
noisy observations.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals;
:param t_delta_observation: time between observation intervals.
:return: a numpy array containing the noisy observations of the
integrated dynamical system (of size [n_states, n_points])
and a numpy array containing the time stamps.
"""
observed_system, t = super(Lorenz63,
self).observe(initial_state,
initial_time,
final_time,
t_delta_integration,
t_delta_observation)
return observed_system, t
class Quadrocopter(DynamicalSystem):
"""
m = 0.1 #kg
Ixx = 0.00062 #kg-m^2
Iyy = 0.00113 #kg-m^2
Izz = 0.9*(Ixx + Iyy) #kg-m^2 (Assume nearly flat object, z=0)
dx = 0.114 #m
dy = 0.0825 #m
g = 9.81 #m/s/s
DTR = 1/57.3; RTD = 57.3
code and parameters based on https://github.com/charlestytler/QuadcopterSim
"""
def __init__(self,
true_param: Union[list, np.array] = \
(0.1, 0.62, 1.13, 0.9, 0.114, 8.25, 9.85),
noise_variance: float = 0.0,
stn_ratio: float = 100):
"""
Constructor.
:param true_param: true parameters of the system;
:param noise_variance: variance of the observation noise, if different
from zero it overwrites the signal to noise ratio;
:param stn_ratio: signal to noise ratio (variance should be set to zero
if the stn_ratio is different than None).
"""
super(Quadrocopter, self).__init__(12,
true_param,
noise_variance,
stn_ratio)
assert self.theta.shape[0] == 7,\
"Error: length of true_param should be 7"
return
@staticmethod
def controlForces(x):
trim = 0.24525 # just enough force to keep the quadrocopter stable
pitch_cmd = 0
roll_cmd = 0
climb_cmd = 0
yaw_cmd=0
climb_cmd = 0.01
pitch_cmd = 0.0005
roll_cmd = 0.0005
u = np.zeros(4)
u[0] = trim + ( pitch_cmd + roll_cmd + climb_cmd - yaw_cmd) / 4
u[1] = trim + (-pitch_cmd - roll_cmd + climb_cmd - yaw_cmd) / 4
u[2] = trim + ( pitch_cmd - roll_cmd + climb_cmd + yaw_cmd) / 4
u[3] = trim + (-pitch_cmd + roll_cmd + climb_cmd + yaw_cmd) / 4
return u
@staticmethod
def _system_ode(t: float, y: np.array,
theta: np.array) -> list:
"""
Describes the overall evolution of the system in the form:
dy / dt = f( t, y, args)
Needed by scipy.
:param t: time, needed to calculate inputs;
:param y: current state;
:param theta: arguments and parameters of the system.
:return: the f function so built.
"""
ub = y[0]
vb = y[1]
wb = y[2]
p = y[3]
q = y[4]
r = y[5]
phi = y[6]
theta_sys = y[7]
psi = y[8]
xE = y[9]
yE = y[10]
hE = y[11]
m = theta[0] #kg
Ixx = theta[1]*1e-3 #kg-m^2
Iyy = theta[2]*1e-3 #kg-m^2
Izz = theta[3]*(Ixx + Iyy) #kg-m^2 (Assume nearly flat object, z=0)
dx = theta[4] #m
dy = theta[5]*1e-2 #m
g = theta[6] #m/s/s
# Directly get forces as inputs
[F1, F2, F3, F4] = Quadrocopter.controlForces(y)
Fz = F1 + F2 + F3 + F4
L = (F2 + F3) * dy - (F1 + F4) * dy
M = (F1 + F3) * dx - (F2 + F4) * dx
N = 0 #-T(F1,dx,dy) - T(F2,dx,dy) + T(F3,dx,dy) + T(F4,dx,dy)
# Pre-calculate trig values
cphi = np.cos(phi); sphi = np.sin(phi)
cthe = np.cos(theta_sys); sthe = np.sin(theta_sys)
cpsi = np.cos(psi); spsi = np.sin(psi)
# Calculate the derivative of the state matrix using EOM
xdot = np.zeros(12)
xdot[0] = -g * sthe + r * vb - q * wb # = udot
xdot[1] = g * sphi*cthe - r * ub + p * wb # = vdot
xdot[2] = 1/m * (-Fz) + g*cphi*cthe + q * ub - p * vb # = wdot
xdot[3] = 1/Ixx * (L + (Iyy - Izz) * q * r) # = pdot
xdot[4] = 1/Iyy * (M + (Izz - Ixx) * p * r) # = qdot
xdot[5] = 1/Izz * (N + (Ixx - Iyy) * p * q) # = rdot
xdot[6] = p + (q*sphi + r*cphi) * sthe / cthe # = phidot
xdot[7] = q * cphi - r * sphi # = thetadot
xdot[8] = (q * sphi + r * cphi) / cthe # = psidot
xdot[9] = cthe*cpsi*ub + (-cphi*spsi + sphi*sthe*cpsi) * vb + \
(sphi*spsi+cphi*sthe*cpsi) * wb # = xEdot
xdot[10] = cthe*spsi * ub + (cphi*cpsi+sphi*sthe*spsi) * vb + \
(-sphi*cpsi+cphi*sthe*spsi) * wb # = yEdot
xdot[11] = -1*(-sthe * ub + sphi*cthe * vb + cphi*cthe * wb) # = hEdot
f = xdot
return f
def simulate(self,
initial_state: Union[list, np.array] = (0,0,0,0,0,0,0,0,0,0,0,0),
initial_time: float = 0.0,
final_time: float = 30.0,
t_delta_integration: float = 0.01)\
-> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals.
:return: a numpy array containing the integrated dynamical system (of
size [n_states, n_points]) and a numpy array containing the time stamps.
"""
system, t = super(Quadrocopter, self).simulate(initial_state,
initial_time,
final_time,
t_delta_integration)
return system, t
def observe(self, initial_state: Union[list, np.array] = (0,0,0,0,0,0,0,0,0,0,0,0),
initial_time: float = 0.0,
final_time: float = 30.0,
t_delta_integration: float = 0.01,
t_delta_observation: float = 0.1) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver and extract the
noisy observations.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals;
:param t_delta_observation: time between observation intervals.
:return: a numpy array containing the noisy observations of the
integrated dynamical system (of size [n_states, n_points])
and a numpy array containing the time stamps.
"""
observed_system, t = super(Quadrocopter,
self).observe(initial_state,
initial_time,
final_time,
t_delta_integration,
t_delta_observation)
return observed_system, t
class Glucose(DynamicalSystem):
"""
2D Lotka-Volterra ODE.
"""
def __init__(self,
true_param: Union[list, np.array] = (0.1, 0.0, 0.4, 0.0, 0.3, 0.0, 0.7, 0.0, 0.1, 0.2),
noise_variance: float = 0.1 ** 2,
stn_ratio: float = None):
"""
Constructor.
:param true_param: true parameters of the system;
:param noise_variance: variance of the observation noise, if different
from zero it overwrites the signal to noise ratio;
:param stn_ratio: signal to noise ratio (variance should be set to zero
if the stn_ratio is different than None).
"""
super(Glucose, self).__init__(9,
true_param,
noise_variance,
stn_ratio)
assert self.theta.shape[0] == 10,\
"Error: length of true_param should be 10"
return
@staticmethod
def _system_ode(t: float, y: np.array,
theta: np.array) -> list:
"""
Describes the overall evolution of the system in the form:
dy / dt = f( t, y, args)
Needed by scipy.
:param t: time, needed in arguments even if it's not directly used;
:param y: current state;
:param theta: arguments and parameters of the system.
:return: the f function so built.
"""
p = theta
x = y
f = np.zeros(9)
f[0]= p[1]*x[5] - p[0]*x[0]*x[7]
f[1]= p[3]*x[6] - p[2]*x[1]*x[8]
f[2]= -p[7]*x[2] + p[6]*x[4]*x[8]
f[3]= -p[5]*x[3] + p[4]*x[4]*x[6]
f[4]= p[5]*x[3] + p[7]*x[2] - p[4]*x[4]*x[6] - p[6]*x[4]*x[8]
f[5]= -p[1]*x[5] - p[8]*x[5] + p[8]*x[6] + p[0]*x[0]*x[7]
f[6]= p[5]*x[3] - p[3]*x[6] + p[8]*x[5] - p[8]*x[6] + p[2]*x[1]*x[8] - p[4]*x[4]*x[6]
f[7]= p[1]*x[5] - p[9]*x[7] + p[9]*x[8] - p[0]*x[0]*x[7]
f[8]= p[3]*x[6] + p[7]*x[2] + p[9]*x[7] - p[9]*x[8] - p[2]*x[1]*x[8] - p[6]*x[4]*x[8]
return f
def simulate(self,
initial_state: Union[list, np.array] = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0),
initial_time: float = 0.0,
final_time: float = 100.0,
t_delta_integration: float = 0.01)\
-> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals.
:return: a numpy array containing the integrated dynamical system (of
size [n_states, n_points]) and a numpy array containing the time stamps.
"""
system, t = super(Glucose, self).simulate(initial_state,
initial_time,
final_time,
t_delta_integration)
return system, t
def observe(self, initial_state: Union[list, np.array] = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0),
initial_time: float = 0.0,
final_time: float = 100.0,
t_delta_integration: float = 0.01,
t_delta_observation: float = 0.1) -> Tuple[np.array, np.array]:
"""
Integrate the system using an scipy built-in ODE solver and extract the
noisy observations.
:param initial_state: initial state of the system;
:param initial_time: initial time of the simulation;
:param final_time: final time of the simulation;
:param t_delta_integration: time between integration intervals;
:param t_delta_observation: time between observation intervals.
:return: a numpy array containing the noisy observations of the
integrated dynamical system (of size [n_states, n_points])
and a numpy array containing the time stamps.
"""
observed_system, t = super(Glucose,
self).observe(initial_state,
initial_time,
final_time,
t_delta_integration,
t_delta_observation)
return observed_system, t | 45.211778 | 107 | 0.531812 | 4,913 | 39,922 | 4.190922 | 0.062894 | 0.023069 | 0.042108 | 0.031374 | 0.85289 | 0.833123 | 0.827829 | 0.81831 | 0.813356 | 0.809276 | 0 | 0.030247 | 0.377236 | 39,922 | 883 | 108 | 45.211778 | 0.797925 | 0.355143 | 0 | 0.578603 | 0 | 0 | 0.010504 | 0 | 0 | 0 | 0 | 0 | 0.0131 | 1 | 0.074236 | false | 0 | 0.010917 | 0 | 0.176856 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
ac815ca132cbc7676c098c57debbb9f2a01464ff | 46 | py | Python | Train/vtx/nn/__init__.py | VTXNN/E2E | b877d1bf7fdb94f885804ac42f41cc9ecc3102f5 | [
"Apache-2.0"
] | null | null | null | Train/vtx/nn/__init__.py | VTXNN/E2E | b877d1bf7fdb94f885804ac42f41cc9ecc3102f5 | [
"Apache-2.0"
] | null | null | null | Train/vtx/nn/__init__.py | VTXNN/E2E | b877d1bf7fdb94f885804ac42f41cc9ecc3102f5 | [
"Apache-2.0"
] | 1 | 2020-05-18T10:54:13.000Z | 2020-05-18T10:54:13.000Z | from .KDELayer import *
from .E2ERef import *
| 15.333333 | 23 | 0.73913 | 6 | 46 | 5.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026316 | 0.173913 | 46 | 2 | 24 | 23 | 0.868421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
3bcf039ae3f2d907a0964fbada7304c9b865264a | 39 | py | Python | modelsummary/__init__.py | graykode/modelsummary | ce51cadbdfa87946c187e00fb5264bfa5872c00a | [
"MIT"
] | 90 | 2019-03-04T14:46:49.000Z | 2022-02-14T17:02:29.000Z | modelsummary/__init__.py | graykode/modelsummary | ce51cadbdfa87946c187e00fb5264bfa5872c00a | [
"MIT"
] | 4 | 2019-03-24T12:13:13.000Z | 2020-07-08T23:32:37.000Z | modelsummary/__init__.py | graykode/modelsummary | ce51cadbdfa87946c187e00fb5264bfa5872c00a | [
"MIT"
] | 13 | 2019-03-05T08:10:45.000Z | 2022-01-17T14:51:45.000Z | from modelsummary.modelsummary import * | 39 | 39 | 0.871795 | 4 | 39 | 8.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 39 | 1 | 39 | 39 | 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 | 1 | 0 | 0 | 6 |
3bef43ea17cda004b0f68452d3a1e54f87e6a5af | 133 | py | Python | kirtan_x/vk/views.py | vraja-nayaka/kirtan-x | 28c11622a312f82ffc3756b241e088e80d736965 | [
"MIT"
] | null | null | null | kirtan_x/vk/views.py | vraja-nayaka/kirtan-x | 28c11622a312f82ffc3756b241e088e80d736965 | [
"MIT"
] | null | null | null | kirtan_x/vk/views.py | vraja-nayaka/kirtan-x | 28c11622a312f82ffc3756b241e088e80d736965 | [
"MIT"
] | null | null | null | # from django.shortcuts import render
from django.http import HttpResponse
def index (request):
return HttpResponse("vk page")
| 19 | 37 | 0.766917 | 17 | 133 | 6 | 0.764706 | 0.196078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157895 | 133 | 6 | 38 | 22.166667 | 0.910714 | 0.263158 | 0 | 0 | 0 | 0 | 0.073684 | 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 | 1 | 0 | 0 | 6 |
3bfb09332f6e5f9fcf2728b935df2973dbbb3d13 | 70 | py | Python | laituri_tests/test_general.py | valohai/laituri | af3119f3f218df6f32ad9b2180526ef462442caf | [
"MIT"
] | null | null | null | laituri_tests/test_general.py | valohai/laituri | af3119f3f218df6f32ad9b2180526ef462442caf | [
"MIT"
] | 10 | 2020-06-03T13:30:45.000Z | 2022-03-22T14:45:16.000Z | laituri_tests/test_general.py | valohai/laituri | af3119f3f218df6f32ad9b2180526ef462442caf | [
"MIT"
] | null | null | null | import laituri
def test_for_smoke():
assert laituri.__version__
| 11.666667 | 30 | 0.771429 | 9 | 70 | 5.333333 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171429 | 70 | 5 | 31 | 14 | 0.827586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ce0a5a463219a57024d41b878c51845f34821100 | 144 | py | Python | Ejercicios/Ejercicio_2/sira/__init__.py | ElTapia/computacion-grafica | 8d6ec5e1bd2426093f253da9a197a7b74bb656a9 | [
"MIT"
] | null | null | null | Ejercicios/Ejercicio_2/sira/__init__.py | ElTapia/computacion-grafica | 8d6ec5e1bd2426093f253da9a197a7b74bb656a9 | [
"MIT"
] | null | null | null | Ejercicios/Ejercicio_2/sira/__init__.py | ElTapia/computacion-grafica | 8d6ec5e1bd2426093f253da9a197a7b74bb656a9 | [
"MIT"
] | null | null | null | # coding=utf-8
from .DirectRGBRasterDisplay import DirectRGBRasterDisplay
from .IndirectRGBRasterDisplay import IndirectRGBRasterDisplay
| 24 | 63 | 0.847222 | 11 | 144 | 11.090909 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007874 | 0.118056 | 144 | 5 | 64 | 28.8 | 0.952756 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ce216510e9afb28f0729209f7ddc286ef3c5598e | 27,071 | py | Python | senlin/tests/unit/api/openstack/v1/test_policies.py | openstack/senlin | 390779ca1e08f819683e79993696f945f1c0393e | [
"Apache-2.0"
] | 45 | 2015-10-18T02:56:50.000Z | 2022-03-01T15:28:02.000Z | senlin/tests/unit/api/openstack/v1/test_policies.py | openstack/senlin | 390779ca1e08f819683e79993696f945f1c0393e | [
"Apache-2.0"
] | 2 | 2019-04-26T10:44:47.000Z | 2020-12-16T19:45:34.000Z | senlin/tests/unit/api/openstack/v1/test_policies.py | openstack/senlin | 390779ca1e08f819683e79993696f945f1c0393e | [
"Apache-2.0"
] | 45 | 2015-10-19T02:35:57.000Z | 2021-09-28T09:01:42.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from unittest import mock
from webob import exc
from oslo_serialization import jsonutils
from oslo_utils import uuidutils
from senlin.api.common import util
from senlin.api.middleware import fault
from senlin.api.openstack.v1 import policies
from senlin.common import exception as senlin_exc
from senlin.common import policy
from senlin.objects.requests import policies as vorp
from senlin.rpc import client as rpc_client
from senlin.tests.unit.api import shared
from senlin.tests.unit.common import base
@mock.patch.object(policy, 'enforce')
class PolicyControllerTest(shared.ControllerTest, base.SenlinTestCase):
def setUp(self):
super(PolicyControllerTest, self).setUp()
class DummyConfig(object):
bind_port = 8777
cfgopts = DummyConfig()
self.controller = policies.PolicyController(options=cfgopts)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_index_normal(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'index', True)
req = self._get('/policies')
engine_resp = [
{
u'id': u'aaaa-bbbb-cccc',
u'name': u'policy-1',
u'type': u'test_policy_type',
u'spec': {
u'param_1': u'value1',
u'param_2': u'value2',
},
u'created_time': u'2015-02-24T19:17:22Z',
u'updated_time': None,
}
]
mock_call.return_value = engine_resp
obj = vorp.PolicyListRequest()
mock_parse.return_value = obj
result = self.controller.index(req)
expected = {u'policies': engine_resp}
self.assertEqual(expected, result)
mock_parse.assert_called_once_with('PolicyListRequest', req,
{'project_safe': True})
mock_call.assert_called_once_with(req.context, 'policy_list',
mock.ANY)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_index_whitelists_params(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'index', True)
fake_id = uuidutils.generate_uuid()
params = {
'name': 'FAKE',
'type': 'TYPE',
'limit': 20,
'marker': fake_id,
'sort': 'name:asc',
'global_project': True,
}
req = self._get('/policies', params=params)
obj = vorp.PolicyListRequest()
mock_parse.return_value = obj
engine_resp = [{'foo': 'bar'}]
mock_call.return_value = engine_resp
result = self.controller.index(req)
expected = {u'policies': engine_resp}
self.assertEqual(expected, result)
mock_parse.assert_called_once_with(
'PolicyListRequest', req,
{
'name': ['FAKE'],
'type': ['TYPE'],
'limit': '20',
'marker': fake_id,
'sort': 'name:asc',
'project_safe': False,
})
mock_call.assert_called_once_with(req.context, 'policy_list',
mock.ANY)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_index_whitelist_bad_params(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'index', True)
params = {
'balrog': 'fake_value'
}
req = self._get('/policies', params=params)
ex = self.assertRaises(exc.HTTPBadRequest,
self.controller.index,
req)
self.assertEqual("Invalid parameter balrog", str(ex))
self.assertEqual(0, mock_call.call_count)
self.assertEqual(0, mock_parse.call_count)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_index_invalid_param(self, mock_call,
mock_parse, mock_enforce):
self._mock_enforce_setup(mock_enforce, 'index', True)
params = {
'limit': '10',
}
req = self._get('/policies', params=params)
err = "Invalid value 'No' specified for 'global_project'"
mock_parse.side_effect = exc.HTTPBadRequest(err)
ex = self.assertRaises(exc.HTTPBadRequest,
self.controller.index,
req)
self.assertEqual(err, str(ex))
self.assertEqual(0, mock_call.call_count)
mock_parse.assert_called_once_with(
'PolicyListRequest', req, {'limit': '10',
'project_safe': True})
def test_policy_index_denied_policy(self, mock_enforce):
self._mock_enforce_setup(mock_enforce, 'index', False)
req = self._get('/policies')
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.index,
req)
self.assertEqual(403, resp.status_int)
self.assertIn('403 Forbidden', str(resp))
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_create_success(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'create', True)
body = {
'policy': {
'name': 'test_policy',
'spec': {
'type': 'policy_type',
'version': '1.0',
'properties': {
'param_1': 'value1',
'param_2': 2,
}
},
}
}
engine_response = {
'id': 'xxxx-yyyy-zzzz',
'name': 'test_policy',
'type': 'test_policy_type-1.0',
'spec': {
'type': 'policy_type',
'version': '1.0',
'properties': {
'param_1': 'value1',
'param_2': 2,
},
},
}
req = self._post('/policies', jsonutils.dumps(body))
mock_call.return_value = engine_response
obj = mock.Mock()
mock_parse.return_value = obj
resp = self.controller.create(req, body=body)
self.assertEqual(engine_response, resp['policy'])
mock_parse.assert_called_once_with(
'PolicyCreateRequest', req, body, 'policy')
mock_call.assert_called_with(req.context, 'policy_create',
mock.ANY)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_create_no_policy(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'create', True)
body = {'not_policy': 'test_policy'}
req = self._post('/policies', jsonutils.dumps(body))
mock_parse.side_effect = exc.HTTPBadRequest("bad param")
ex = self.assertRaises(exc.HTTPBadRequest,
self.controller.create,
req, body=body)
self.assertEqual("bad param", str(ex))
self.assertFalse(mock_call.called)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_create_bad_policy(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'create', True)
body = {'policy': {'name': 'fake_name'}}
req = self._post('/policies', jsonutils.dumps(body))
mock_parse.side_effect = exc.HTTPBadRequest("bad spec")
ex = self.assertRaises(exc.HTTPBadRequest,
self.controller.create,
req, body=body)
self.assertEqual("bad spec", str(ex))
self.assertFalse(mock_call.called)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_create_with_spec_validation_failed(self, mock_call,
mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'create', True)
body = {
'policy': {
'name': 'test_policy',
'spec': {
'type': 'policy_type',
'version': '1.0',
'properties': {'param': 'value'}
},
}
}
req = self._post('/policies', jsonutils.dumps(body))
obj = mock.Mock()
mock_parse.return_value = obj
err = senlin_exc.InvalidSpec(message="bad spec")
mock_call.side_effect = shared.to_remote_error(err)
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.create,
req, body=body)
self.assertEqual(400, resp.json['code'])
self.assertEqual('InvalidSpec', resp.json['error']['type'])
mock_parse.assert_called_once_with(
'PolicyCreateRequest', mock.ANY, body, 'policy')
mock_call.assert_called_once_with(req.context, 'policy_create',
obj.policy)
def test_policy_create_denied_policy(self, mock_enforce):
self._mock_enforce_setup(mock_enforce, 'create', False)
body = {
'policy': {
'name': 'test_policy',
'spec': {
'type': 'policy_type',
'version': '1.0',
'properties': {'param': 'value'},
}
}
}
req = self._post('/policies', jsonutils.dumps(body))
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.create,
req, body=body)
self.assertEqual(403, resp.status_int)
self.assertIn('403 Forbidden', str(resp))
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_get_normal(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'get', True)
pid = 'pid'
req = self._get('/policies/%s' % pid)
engine_resp = {'foo': 'bar'}
mock_call.return_value = engine_resp
obj = mock.Mock()
mock_parse.return_value = obj
result = self.controller.get(req, policy_id=pid)
self.assertEqual(engine_resp, result['policy'])
mock_parse.assert_called_once_with(
'PolicyGetRequest', req, {'identity': pid})
mock_call.assert_called_with(req.context, 'policy_get',
mock.ANY)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_get_not_found(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'get', True)
pid = 'non-existent-policy'
req = self._get('/policies/%s' % pid)
error = senlin_exc.ResourceNotFound(type='policy', id=pid)
mock_call.side_effect = shared.to_remote_error(error)
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.get,
req, policy_id=pid)
self.assertEqual(404, resp.json['code'])
self.assertEqual('ResourceNotFound', resp.json['error']['type'])
mock_parse.assert_called_once_with(
"PolicyGetRequest", mock.ANY, {'identity': pid})
def test_policy_get_denied_policy(self, mock_enforce):
self._mock_enforce_setup(mock_enforce, 'get', False)
pid = 'non-existent-policy'
req = self._get('/policies/%s' % pid)
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.get,
req, policy_id=pid)
self.assertEqual(403, resp.status_int)
self.assertIn('403 Forbidden', str(resp))
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_update_normal(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'update', True)
pid = 'aaaa-bbbb-cccc'
body = {
'policy': {
'name': 'policy-2',
}
}
req = self._put('/policies/%(policy_id)s' % {'policy_id': pid},
jsonutils.dumps(body))
engine_resp = {
u'id': pid,
u'name': u'policy-2',
u'type': u'test_policy_type',
u'spec': {
u'param_1': u'value1',
u'param_2': u'value3',
},
u'created_time': u'2015-02-25T16:20:13Z',
u'updated_time': None,
}
mock_call.return_value = engine_resp
obj = mock.Mock()
mock_parse.requests = obj
obj
result = self.controller.update(req, policy_id=pid, body=body)
expected = {'policy': engine_resp}
self.assertEqual(expected, result)
mock_parse.assert_called_once_with(
'PolicyUpdateRequest', req, {'identity': pid,
'policy': mock.ANY})
mock_call.assert_called_with(req.context, 'policy_update',
mock.ANY)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_update_with_no_name(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'update', True)
pid = 'aaaa-bbbb-cccc'
body = {'policy': {}}
req = self._put('/policies/%(pid)s' % {'pid': pid},
jsonutils.dumps(body))
mock_parse.side_effect = exc.HTTPBadRequest("bad param")
ex = self.assertRaises(exc.HTTPBadRequest,
self.controller.update,
req, policy_id=pid, body=body)
self.assertEqual("bad param", str(ex))
mock_parse.assert_called_once_with(
'PolicyUpdateRequest', req, {'identity': pid,
'policy': mock.ANY})
self.assertFalse(mock_call.called)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_update_with_bad_body(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'update', True)
pid = 'aaaa-bbbb-cccc'
body = {'foo': 'bar'}
req = self._patch('/policies/%(pid)s' % {'pid': pid},
jsonutils.dumps(body))
ex = self.assertRaises(exc.HTTPBadRequest,
self.controller.update,
req, policy_id=pid, body=body)
self.assertEqual("Malformed request data, missing 'policy' key in "
"request body.", str(ex))
self.assertFalse(mock_call.called)
self.assertFalse(mock_parse.called)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_update_with_unsupported_field(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'update', True)
pid = 'aaaa-bbbb-cccc'
body = {
'policy': {
'name': 'new_name_policy',
'bogus': 'foo'
}
}
req = self._put('/policies/%(pid)s' % {'pid': pid},
jsonutils.dumps(body))
mock_parse.side_effect = exc.HTTPBadRequest("bad param")
ex = self.assertRaises(exc.HTTPBadRequest,
self.controller.update,
req, policy_id=pid, body=body)
self.assertEqual("bad param", str(ex))
mock_parse.assert_called_once_with(
'PolicyUpdateRequest', req, {'identity': pid,
'policy': mock.ANY})
self.assertFalse(mock_call.called)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_update_not_found(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'update', True)
pid = 'non-existent-policy'
body = {
'policy': {
'name': 'new_policy',
}
}
req = self._patch('/policies/%(policy_id)s' % {'policy_id': pid},
jsonutils.dumps(body))
obj = mock.Mock()
mock_parse.return_value = obj
error = senlin_exc.ResourceNotFound(type='policy', id=pid)
mock_call.side_effect = shared.to_remote_error(error)
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.update,
req, policy_id=pid, body=body)
self.assertEqual(404, resp.json['code'])
self.assertEqual('ResourceNotFound', resp.json['error']['type'])
def test_policy_update_denied_policy(self, mock_enforce):
self._mock_enforce_setup(mock_enforce, 'update', False)
pid = 'aaaa-bbbb-cccc'
body = {
'policy': {'name': 'test_policy'},
}
req = self._put('/policies/%(policy_id)s' % {'policy_id': pid},
jsonutils.dumps(body))
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.update,
req, policy_id=pid, body=body)
self.assertEqual(403, resp.status_int)
self.assertIn('403 Forbidden', str(resp))
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_delete_success(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'delete', True)
pid = 'FAKE_ID'
req = self._delete('/policies/%s' % pid)
obj = mock.Mock()
mock_parse.return_value = obj
self.assertRaises(exc.HTTPNoContent,
self.controller.delete, req, policy_id=pid)
mock_parse.assert_called_once_with(
'PolicyDeleteRequest', req, {'identity': pid})
mock_call.assert_called_with(
req.context, 'policy_delete', mock.ANY)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_delete_not_found(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'delete', True)
pid = 'FAKE_ID'
req = self._delete('/policies/%s' % pid)
error = senlin_exc.ResourceNotFound(type='policy', id=pid)
mock_call.side_effect = shared.to_remote_error(error)
obj = mock.Mock()
mock_parse.return_value = obj
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.delete,
req, policy_id=pid)
self.assertEqual(404, resp.json['code'])
self.assertEqual('ResourceNotFound', resp.json['error']['type'])
def test_policy_delete_err_denied_policy(self, mock_enforce):
self._mock_enforce_setup(mock_enforce, 'delete', False)
pid = 'FAKE_ID'
req = self._delete('/policies/%s' % pid)
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.delete,
req, policy_id=pid)
self.assertEqual(403, resp.status_int)
self.assertIn('403 Forbidden', str(resp))
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_validate_version_mismatch(self, mock_call, mock_enforce):
body = {
'policy': {}
}
req = self._post('/policies/validate', jsonutils.dumps(body),
version='1.1')
ex = self.assertRaises(senlin_exc.MethodVersionNotFound,
self.controller.validate,
req, body=body)
mock_call.assert_not_called()
self.assertEqual("API version '1.1' is not supported on this "
"method.", str(ex))
def test_profile_validate_denied_policy(self, mock_enforce):
self._mock_enforce_setup(mock_enforce, 'validate', False)
body = {
'profile': {
'name': 'test_policy',
'spec': {
'type': 'test_policy_type',
'version': '1.0',
'properties': {
'param_1': 'value1',
'param_2': 2,
},
},
'metadata': {},
}
}
req = self._post('/policies/validate', jsonutils.dumps(body),
version='1.2')
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.validate,
req, body=body)
self.assertEqual(403, resp.status_int)
self.assertIn('403 Forbidden', str(resp))
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_validate_no_body(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'validate', True)
body = {'foo': 'bar'}
req = self._post('/policies/validate', jsonutils.dumps(body),
version='1.2')
mock_parse.side_effect = exc.HTTPBadRequest("miss policy")
ex = self.assertRaises(exc.HTTPBadRequest,
self.controller.validate,
req, body=body)
self.assertEqual("miss policy", str(ex))
mock_parse.assert_called_once_with(
'PolicyValidateRequest', req, body, 'policy')
self.assertFalse(mock_call.called)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_validate_no_spec(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'validate', True)
body = {
'policy': {}
}
req = self._post('/policies/validate', jsonutils.dumps(body),
version='1.2')
mock_parse.side_effect = exc.HTTPBadRequest("miss policy")
ex = self.assertRaises(exc.HTTPBadRequest,
self.controller.validate,
req, body=body)
self.assertEqual("miss policy", str(ex))
mock_parse.assert_called_once_with(
'PolicyValidateRequest', req, body, 'policy')
self.assertFalse(mock_call.called)
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_validate_invalid_spec(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'validate', True)
body = {
'policy': {
'spec': {
'type': 'senlin.policy.deletion',
'version': '1.0'
}
}
}
req = self._post('/policies/validate', jsonutils.dumps(body),
version='1.2')
msg = 'Spec validation error'
error = senlin_exc.InvalidSpec(message=msg)
mock_call.side_effect = shared.to_remote_error(error)
obj = mock.Mock()
mock_parse.return_value = obj
resp = shared.request_with_middleware(fault.FaultWrapper,
self.controller.validate,
req, body=body)
self.assertEqual(400, resp.json['code'])
self.assertEqual('InvalidSpec', resp.json['error']['type'])
@mock.patch.object(util, 'parse_request')
@mock.patch.object(rpc_client.EngineClient, 'call')
def test_policy_validate_success(self, mock_call, mock_parse,
mock_enforce):
self._mock_enforce_setup(mock_enforce, 'validate', True)
spec = {
'spec': {
'properties': {'foo': 'bar'},
'type': 'senlin.policy.deletion',
'version': '1.0'
}
}
body = {
'policy': spec
}
req = self._post('/policies/validate', jsonutils.dumps(body),
version='1.2')
obj = mock.Mock()
mock_parse.return_value = obj
mock_call.return_value = spec
result = self.controller.validate(req, body=body)
self.assertEqual(body, result)
mock_parse.assert_called_once_with(
'PolicyValidateRequest', req, body, 'policy')
mock_call.assert_called_with(
req.context, 'policy_validate', mock.ANY)
| 39.404658 | 78 | 0.546563 | 2,772 | 27,071 | 5.099206 | 0.090548 | 0.063813 | 0.046693 | 0.036293 | 0.828157 | 0.819031 | 0.800212 | 0.778352 | 0.744323 | 0.718571 | 0 | 0.008534 | 0.342063 | 27,071 | 686 | 79 | 39.462099 | 0.785077 | 0.019393 | 0 | 0.659091 | 0 | 0 | 0.123163 | 0.006633 | 0 | 0 | 0 | 0 | 0.145105 | 1 | 0.050699 | false | 0 | 0.022727 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0223184cfb1bffa5b782ba34ff6ae64f6f84873b | 69 | py | Python | picsignal/modules/__init__.py | PICTEC/STDLIB | fa9a3a458fd3b4aecaba79735af875c75422e03d | [
"MIT"
] | null | null | null | picsignal/modules/__init__.py | PICTEC/STDLIB | fa9a3a458fd3b4aecaba79735af875c75422e03d | [
"MIT"
] | null | null | null | picsignal/modules/__init__.py | PICTEC/STDLIB | fa9a3a458fd3b4aecaba79735af875c75422e03d | [
"MIT"
] | null | null | null | from .beamforming import *
from .dae import *
from .masking import *
| 17.25 | 26 | 0.73913 | 9 | 69 | 5.666667 | 0.555556 | 0.392157 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 69 | 3 | 27 | 23 | 0.894737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
02272d803c185211f008a8c027a96030df26dc42 | 36 | py | Python | code/tmp_rtrip/xml/etree/cElementTree.py | emilyemorehouse/ast-and-me | 3f58117512e125e1ecbe3c72f2f0d26adb80b7b3 | [
"MIT"
] | 24 | 2018-01-23T05:28:40.000Z | 2021-04-13T20:52:59.000Z | code/tmp_rtrip/xml/etree/cElementTree.py | emilyemorehouse/ast-and-me | 3f58117512e125e1ecbe3c72f2f0d26adb80b7b3 | [
"MIT"
] | 17 | 2017-12-21T18:32:31.000Z | 2018-12-18T17:09:50.000Z | code/tmp_rtrip/xml/etree/cElementTree.py | emilyemorehouse/ast-and-me | 3f58117512e125e1ecbe3c72f2f0d26adb80b7b3 | [
"MIT"
] | null | null | null | from xml.etree.ElementTree import *
| 18 | 35 | 0.805556 | 5 | 36 | 5.8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 36 | 1 | 36 | 36 | 0.90625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0280c63f3a954dfc98da6554649798658e669088 | 12,666 | py | Python | simulation/plotting.py | pacslab/iota_simulation | 84e80f8fbf5d914e13d6ab5de43058ab88195076 | [
"MIT"
] | null | null | null | simulation/plotting.py | pacslab/iota_simulation | 84e80f8fbf5d914e13d6ab5de43058ab88195076 | [
"MIT"
] | null | null | null | simulation/plotting.py | pacslab/iota_simulation | 84e80f8fbf5d914e13d6ab5de43058ab88195076 | [
"MIT"
] | null | null | null | import pickle
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
#############################################################################
# PRINTING AND PLOTTING
#############################################################################
def print_info(self):
text = "\nParameters: Transactions = " + str(self.no_of_transactions) + \
", Tip-Selection = " + str(self.tip_selection_algo).upper() + \
", Lambda = " + str(self.lam)
if(self.tip_selection_algo == "weighted-genesis" or "weighted-entry-point"):
text += ", Alpha = " + str(self.alpha)
if(self.no_of_agents != 1):
text += ", Distances = " + str(self.distances)
text += " | Simulation started...\n"
print(text)
def print_graph(self):
#Positioning and text of labels
pos = nx.get_node_attributes(self.DG, 'pos')
lower_pos = {key: (x, y - 0.07) for key, (x, y) in pos.items()} #For label offset (0.1)
#Create labels with the confirmation confidence of every transaction (of the issueing agent)
labels = {
# transaction: str(str(np.round(transaction.exit_probability_multiple_agents[transaction.agent], 2)) + " " +
# str(np.round(transaction.confirmation_confidence_multiple_agents[transaction.agent], 2)))
transaction : str(np.round(transaction.exit_probability_multiple_agents[transaction.agent],2))
for transaction in self.DG.nodes if transaction.agent != None
}
#For genesis take agent 0 as default (always same value)
labels[self.transactions[0]] = str(np.round(self.transactions[0].exit_probability_multiple_agents[self.agents[0]],2))
#col = [['r','b'][int(np.round(transaction.confirmation_confidence,1))] for transaction in self.DG.nodes()] #Color change for 100% confidence
#Coloring of nodes
tips = self.get_tips()
for tip in tips:
# self.DG.node[tip]["node_color"] = '#ffdbb8'
self.DG.node[tip]["node_color"] = self.agent_tip_colors[int(str(tip.agent))]
# col = list(nx.get_node_attributes(self.DG, 'node_color').values()) #Didn't work on Linux
col = []
for transaction in self.DG:
if transaction.arrival_time > 0 and transaction.arrival_time % (1/self.lam_m) == 0:
print('tx_ID: ', transaction.id, 'tx_arr_time: ', transaction.arrival_time)
col.append('maroon')
else:
col.append(self.DG.node[transaction]["node_color"])
#Creating figure
plt.figure(figsize=(14, 7))
nx.draw_networkx(self.DG, pos, with_labels=True, node_size = 100, font_size=5.5, node_color = col)
# nx.draw_networkx_labels(self.DG, lower_pos, labels=labels, font_size=6)
#Print title
title = "Transactions = " + str(self.no_of_transactions) +\
", " + r'$\lambda$' + " = " + str(self.lam) +\
", " + r'$d$' + " = " + str(self.distances[1][0])
if(self.tip_selection_algo == "weighted-genesis" or "weighted-entry-point"):
title += ", " + r'$\alpha$' + " = " + str(self.alpha)
plt.xlabel("Time (s)")
plt.yticks([])
plt.title(title)
plt.show()
#Save the graph
#plt.savefig('graph.png')
def print_tips_over_time(self):
plt.figure(figsize=(14, 7))
#Get no of tips per time
no_tips = []
for i in self.record_tips:
no_tips.append(len(i))
plt.plot(self.arrival_times, no_tips, label="Tips")
#Cut off first 250 transactions for mean and best fit
if(self.no_of_transactions >= 250):
cut_off = 250
else:
cut_off = 0
#Plot mean
x_mean = [self.arrival_times[cut_off], self.arrival_times[-1]]
y_mean = [np.mean(no_tips[cut_off:]), np.mean(no_tips[cut_off:])]
plt.plot(x_mean, y_mean, label="Average Tips", linestyle='--')
#Plot best fitted line
plt.plot(np.unique(self.arrival_times[cut_off:]), \
np.poly1d(np.polyfit(self.arrival_times[cut_off:], no_tips[cut_off:], 1))\
(np.unique(self.arrival_times[cut_off:])), label="Best Fit Line", linestyle='--')
#Print title
title = "Transactions = " + str(self.no_of_transactions) + \
", " + r'$\lambda$' + " = " + str(self.lam)
if (self.tip_selection_algo == "weighted"):
title += ", " + r'$\alpha$' + " = " + str(self.alpha)
plt.xlabel("Time (s)")
plt.ylabel("Number of tips")
plt.legend(loc='upper left')
plt.title(title)
plt.show()
def print_tips_over_time_multiple_agents_with_tangle(self, no_current_transactions):
plt.figure(figsize=(14, 7))
plt.subplot(2, 1, 1)
#Get no of tips per time
for agent in self.agents:
no_tips = [0]
for i in agent.record_tips:
no_tips.append(len(i))
label = "Tips Agent " + str(agent)
#plt.subplot(2, 1, int(str(agent))+1)
plt.plot(self.arrival_times[:no_current_transactions], no_tips[:no_current_transactions], label=label, color=self.agent_colors[int(str(agent))])
#Cut off first 60% of transactions
if(no_current_transactions >= 500):
cut_off = int(no_current_transactions * 0.2)
else:
cut_off = 0
#Plot mean
# label = "Average Tips Agent " + str(agent)
# x_mean = [self.arrival_times[cut_off], self.arrival_times[no_current_transactions-1]]
# y_mean = [np.mean(no_tips[cut_off:no_current_transactions-1]), np.mean(no_tips[cut_off:no_current_transactions-1])]
# plt.plot(x_mean, y_mean, label=label, linestyle='--')
#Plot best fitted line
# plt.plot(np.unique(self.arrival_times[cut_off:no_current_transactions-1]), \
# np.poly1d(np.polyfit(self.arrival_times[cut_off:no_current_transactions-1], no_tips[cut_off:no_current_transactions-1], 1))\
# (np.unique(self.arrival_times[cut_off:no_current_transactions-1])), label="Best Fit Line", linestyle='--')
#Print title
title = "Transactions = " + str(self.no_of_transactions) + \
", " + r'$\lambda$' + " = " + str(self.lam) + \
", " + r'$d$' + " = " + str(self.distances[1][0])
if (self.tip_selection_algo == "weighted"):
title += ", " + r'$\alpha$' + " = " + str(self.alpha)
plt.xlabel("Time (s)")
plt.ylabel("Number of tips")
plt.legend(loc='upper left')
plt.title(title)
plt.subplot(2, 1, 2)
#Positioning and text of labels
pos = nx.get_node_attributes(self.DG, 'pos')
lower_pos = {key: (x, y - 0.1) for key, (x, y) in pos.items()} #For label offset (0.1)
#Create labels with the confirmation confidence of every transaction (of the issueing agent)
labels = {
transaction: str(str(np.round(transaction.exit_probability_multiple_agents[transaction.agent], 2)) + " " +
str(np.round(transaction.confirmation_confidence_multiple_agents[transaction.agent], 2)))
for transaction in self.DG.nodes if transaction.agent != None
}
#For genesis take agent 0 as default (always same value)
labels[self.transactions[0]] = str(np.round(self.transactions[0].exit_probability_multiple_agents[self.agents[0]],2))
#col = [['r','b'][int(np.round(transaction.confirmation_confidence,1))] for transaction in self.DG.nodes()] #Color change for 100% confidence
#Coloring of tips
tips = self.get_tips()
for tip in tips:
# self.DG.node[tip]["node_color"] = '#ffdbb8'
self.DG.node[tip]["node_color"] = self.agent_tip_colors[int(str(tip.agent))]
#Didn't work on Linux
# col = list(nx.get_node_attributes(self.DG, 'node_color').values())
col = []
for transaction in self.DG:
col.append(self.DG.node[transaction]["node_color"])
#Creating figure
#plt.figure(figsize=(12, 6))
nx.draw_networkx(self.DG, pos, with_labels=True, node_size = 100, font_size=5.5, node_color = col)
#nx.draw_networkx_labels(self.DG, lower_pos, labels=labels, font_size=6)
plt.xlabel("Time (s)")
plt.yticks([])
plt.show()
def print_tips_over_time_multiple_agents(self, no_current_transactions):
plt.figure(figsize=(14, 7))
#Get no of tips per time
for agent in self.agents:
no_tips = [0]
for i in agent.record_tips:
no_tips.append(len(i))
label = "Tips Agent " + str(agent)
#plt.subplot(2, 1, int(str(agent))+1)
plt.plot(self.arrival_times[:no_current_transactions], no_tips[:no_current_transactions], label=label)#, color=self.agent_colors[int(str(agent))])
#Cut off first 60% of transactions
if(no_current_transactions >= 500):
cut_off = int(no_current_transactions * 0.2)
else:
cut_off = 0
#Plot mean
label = "Average Tips Agent " + str(agent)
x_mean = [self.arrival_times[cut_off], self.arrival_times[no_current_transactions-1]]
y_mean = [np.mean(no_tips[cut_off:no_current_transactions-1]), np.mean(no_tips[cut_off:no_current_transactions-1])]
plt.plot(x_mean, y_mean, label=label, linestyle='--')
print(np.mean(no_tips))
#Plot best fitted line
# plt.plot(np.unique(self.arrival_times[cut_off:no_current_transactions-1]), \
# np.poly1d(np.polyfit(self.arrival_times[cut_off:no_current_transactions-1], no_tips[cut_off:no_current_transactions-1], 1))\
# (np.unique(self.arrival_times[cut_off:no_current_transactions-1])), label="Best Fit Line", linestyle='--')
#Print title
title = "Transactions = " + str(self.no_of_transactions) + \
", " + r'$\lambda$' + " = " + str(self.lam) + \
", " + r'$d$' + " = " + str(self.distances[1][0])
if (self.tip_selection_algo == "weighted"):
title += ", " + r'$\alpha$' + " = " + str(self.alpha)
plt.xlabel("Time (s)")
plt.ylabel("Number of tips")
plt.legend(loc='upper left')
plt.title(title)
plt.show()
def print_attachment_probabilities_alone(self):
title = "Transactions = " + str(self.no_of_transactions) + \
", " + r'$\lambda$' + " = " + str(self.lam) + \
", " + r'$d$' + " = " + str(self.distances[1][0])
if (self.tip_selection_algo == "weighted"):
title += ", " + r'$\alpha$' + " = " + str(self.alpha)
# with open('graph' + str(title) + '_3' + '.pkl', 'wb') as handle:
with open('subtangle_attach_prob.pkl', 'wb') as handle:
pickle.dump(self.record_attachment_probabilities, handle, protocol=pickle.HIGHEST_PROTOCOL)
plt.figure(figsize=(14, 7))
x = np.squeeze([i[0] for i in self.record_attachment_probabilities])
y = np.squeeze([i[1] for i in self.record_attachment_probabilities])
plt.plot(x,y, label="Attachment probability sub-Tangle branch")
plt.ylim(0, 0.7)
plt.plot(np.unique(x), np.poly1d(np.polyfit(x, y, 1))(np.unique(x)),\
label="Best Fit", linestyle='--')
x_mean = [i for i in x]
y_mean = [np.mean(y) for i in y]
print(np.mean(y))
print(np.std(y))
plt.plot(x_mean, y_mean,\
label="Average", linestyle='-')
plt.xlabel("Transactions")
plt.ylabel("Probability to attach to sub-Tangle branch")
plt.legend(loc='upper left')
plt.title(title)
plt.tight_layout()
# plt.show()
# plt.savefig('graph' + str(title) + '_3' + '.png')
def print_attachment_probabilities_all_agents(self):
title = "Transactions = " + str(self.no_of_transactions) + \
", " + r'$\lambda$' + " = " + str(self.lam) + \
", " + r'$d$' + " = " + str(self.distances[1][0])
if (self.tip_selection_algo == "weighted"):
title += ", " + r'$\alpha$' + " = " + str(self.alpha)
plt.figure(figsize=(20, 10))
#Attachment probabilities
plt.subplot(1, 2, 1)
x = np.squeeze([i[0] for i in self.record_attachment_probabilities])
y = np.squeeze([i[1] for i in self.record_attachment_probabilities])
labels = ["Agent " + str(i) for i in range(len(y))]
#For more than 10 agents
# ax = plt.axes()
# ax.set_color_cycle([plt.cm.tab20c(i) for i in np.linspace(0, 1, len(y))])
plt.plot(x, y)
plt.xlabel("Transactions")
plt.ylabel("Probability to attach to sub-Tangle branch")
plt.legend(labels, loc="upper right", ncol=2)
#Boxplot
plt.subplot(1, 2, 2)
data = []
for agent in range(self.no_of_agents):
agent_data = [i[1][agent] for i in self.record_attachment_probabilities]
data.append(agent_data)
plt.boxplot(data, 0, '+')
plt.xlabel("Agents")
plt.xticks(np.arange(1, self.no_of_agents+1), np.arange(0, self.no_of_agents))
plt.suptitle(title)
plt.tight_layout()
plt.subplots_adjust(top=0.94)
plt.show()
# plt.savefig(str(no) + '.png')
| 39.58125 | 154 | 0.620638 | 1,762 | 12,666 | 4.295119 | 0.11748 | 0.023784 | 0.066596 | 0.040698 | 0.806554 | 0.788716 | 0.765063 | 0.752246 | 0.740486 | 0.715645 | 0 | 0.017495 | 0.210248 | 12,666 | 319 | 155 | 39.705329 | 0.739078 | 0.244513 | 0 | 0.592593 | 0 | 0 | 0.109482 | 0.002676 | 0.031746 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.021164 | 0 | 0.058201 | 0.063492 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
65f4996a27435ced010d20ed87824a77452dbf42 | 4,447 | py | Python | query_params/tests/test_templatetags.py | hyperlocalhq/django-query-params | cd34db68a71ae9cf89c89e41b69a4e8c4c09693e | [
"MIT"
] | null | null | null | query_params/tests/test_templatetags.py | hyperlocalhq/django-query-params | cd34db68a71ae9cf89c89e41b69a4e8c4c09693e | [
"MIT"
] | null | null | null | query_params/tests/test_templatetags.py | hyperlocalhq/django-query-params | cd34db68a71ae9cf89c89e41b69a4e8c4c09693e | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
from __future__ import unicode_literals
from django.test import TestCase
from django.test.client import RequestFactory
from query_params.templatetags.query_params_tags import (
construct_query_string,
modify_query,
add_to_query,
remove_from_query,
)
class QueryParamsTemplateTagTests(TestCase):
@classmethod
def setUpClass(cls):
cls.factory = RequestFactory()
@classmethod
def tearDownClass(cls):
pass
def test_construct_query_string(self):
# Given a request without any special query parameters and a template name
request = self.factory.get("/en/test/")
query_params = [
["a", "1"],
["a", 2],
["b", 3],
["c", "OK"],
["d", "Hello, World!"],
]
path = construct_query_string(
context={"request": request}, query_params=query_params
)
self.assertEquals(
path, "/en/test/?a=1&a=2&b=3&c=OK&d=Hello%2C+World%21"
)
def test_construct_query_string_only_query_string(self):
# Given a request without any special query parameters and a template name
request = self.factory.get("/en/test/")
query_params = [
["a", "1"],
["a", 2],
["b", 3],
["c", "OK"],
["d", "Hello, World!"],
]
path = construct_query_string(
context={"request": request},
query_params=query_params,
only_query_string=True,
)
self.assertEquals(path, "?a=1&a=2&b=3&c=OK&d=Hello%2C+World%21")
def test_modify_query(self):
request = self.factory.get("/en/test/?a=1&a=2&b=3&c=OK&d=Hello%2C+World%21")
params_to_remove = ["c"]
params_to_change = {"a": 3, "b": 4}
path = modify_query({"request": request}, *params_to_remove, **params_to_change)
# Then we should get the template names saved in context variables
self.assertEquals(path, "/en/test/?a=3&b=4&d=Hello%2C+World%21")
def test_modify_query_only_query_string(self):
request = self.factory.get("/en/test/?a=1&a=2&b=3&c=OK&d=Hello%2C+World%21")
params_to_remove = ["only_query_string", "c"]
params_to_change = {"a": 3, "b": 4}
path = modify_query({"request": request}, *params_to_remove, **params_to_change)
# Then we should get the template names saved in context variables
self.assertEquals(path, "?a=3&b=4&d=Hello%2C+World%21")
def test_add_to_query(self):
request = self.factory.get("/en/test/?a=1&a=2&b=3&c=OK&d=Hello%2C+World%21")
params_to_remove = ["c"]
params_to_add = {"a": 3, "b": 4}
path = add_to_query({"request": request}, *params_to_remove, **params_to_add)
# Then we should get the template names saved in context variables
self.assertEquals(
path,
"/en/test/?a=1&a=2&a=3&b=3&b=4&d=Hello%2C+World%21",
)
def test_add_to_query_only_query_string(self):
request = self.factory.get("/en/test/?a=1&a=2&b=3&c=OK&d=Hello%2C+World%21")
params_to_remove = ["only_query_string", "c"]
params_to_add = {"a": 3, "b": 4}
path = add_to_query({"request": request}, *params_to_remove, **params_to_add)
# Then we should get the template names saved in context variables
self.assertEquals(
path,
"?a=1&a=2&a=3&b=3&b=4&d=Hello%2C+World%21",
)
def test_remove_from_query(self):
request = self.factory.get("/en/test/?a=1&a=2&b=3&c=OK&d=Hello%2C+World%21")
args = ["c"]
kwargs = {"a": 2}
path = remove_from_query({"request": request}, *args, **kwargs)
# Then we should get the template names saved in context variables
self.assertEquals(path, "/en/test/?a=1&b=3&d=Hello%2C+World%21")
def test_remove_from_query_only_query_string(self):
request = self.factory.get("/en/test/?a=1&a=2&b=3&c=OK&d=Hello%2C+World%21")
args = ["only_query_string", "c"]
kwargs = {"a": 2}
path = remove_from_query({"request": request}, *args, **kwargs)
# Then we should get the template names saved in context variables
self.assertEquals(path, "?a=1&b=3&d=Hello%2C+World%21")
| 33.43609 | 88 | 0.59973 | 654 | 4,447 | 3.911315 | 0.11315 | 0.037529 | 0.043784 | 0.071149 | 0.85301 | 0.838937 | 0.838937 | 0.838937 | 0.838937 | 0.831118 | 0 | 0.030167 | 0.247133 | 4,447 | 132 | 89 | 33.689394 | 0.733871 | 0.125253 | 0 | 0.511364 | 0 | 0.159091 | 0.222938 | 0.175773 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.113636 | false | 0.011364 | 0.045455 | 0 | 0.170455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
5a18852f86c40dacfb2528792fbe7b6d99d3ac86 | 17,474 | py | Python | marple/collect/test/interface/test_ebpf.py | ensoft/leap | d36c3203cefdd4690ba2ecf076e5e9fca05cbc80 | [
"MIT"
] | 3 | 2020-12-15T13:36:25.000Z | 2021-09-24T14:34:49.000Z | marple/collect/test/interface/test_ebpf.py | ensoft/leap | d36c3203cefdd4690ba2ecf076e5e9fca05cbc80 | [
"MIT"
] | 4 | 2018-09-28T13:06:25.000Z | 2019-02-14T10:34:47.000Z | marple/collect/test/interface/test_ebpf.py | ensoft/leap | d36c3203cefdd4690ba2ecf076e5e9fca05cbc80 | [
"MIT"
] | 5 | 2018-07-25T08:40:01.000Z | 2018-10-30T15:45:12.000Z | # -------------------------------------------------------------
# test_ebpf.py - tests for interactions with the bcc/eBPF module
# August 2018 - Andrei Diaconu
# -------------------------------------------------------------
""" Test bcc/ebpf interactions and stack parsing. """
import asyncio
import asynctest
from io import StringIO
from marple.collect.interface import ebpf
from marple.common import data_io, consts
class Mallocstacks(asynctest.TestCase):
"""
Class that tests the mallocstacks interface
"""
time = 5
async def mock(self, out):
"""
Helper method for mocking the mallocstqqacks.py subprocess.
Also tests that the appropriate subprocess call is made.
:param out:
Desired stdout output for the subprocess.
:return:
A generator of StackDatum objects created from the desired output.
"""
with asynctest.patch('marple.collect.interface.ebpf.asyncio') as async_mock, \
asynctest.patch('marple.common.util.platform.release') as release_mock:
release_mock.return_value = "100.0.0" # so we ignore the kernel check
# Set up mocks
create_mock = asynctest.CoroutineMock()
async_mock.create_subprocess_exec = create_mock
async_mock.create_subprocess_exec.return_value.returncode = 0
comm_mock = asynctest.CoroutineMock()
comm_mock.side_effect = [(out, b'')]
create_mock.return_value.communicate = comm_mock
pipe_mock = async_mock.subprocess.PIPE
# Run collecter
gen = await ebpf.MallocStacks(self.time).collect()
create_mock.assert_has_calls([
asynctest.call(
'sudo', 'python', ebpf.BCC_TOOLS_PATH + 'mallocstacks.py',
'-f', str(self.time), stderr=pipe_mock, stdout=pipe_mock
),
asynctest.call().communicate()
])
return [datum for datum in gen.datum_generator]
async def test_basic_collect(self):
"""
Basic test case where everything should work as expected
"""
mock_return_popen_stdout = str.encode(consts.field_separator.join(
["123123", "proc1", "func1", "func2"]) + "\n") + \
str.encode(consts.field_separator.join(
["321321", "proc2", "func1", "func2", "func3"]) + "\n")
expected = [data_io.StackDatum(123123,
("proc1", "func1", "func2")),
data_io.StackDatum(321321,
("proc2", "func1", "func2", "func3"))]
output = await self.mock(mock_return_popen_stdout)
self.assertEqual(expected, output)
async def test_strange_symbols(self):
"""
Basic test case where everything should work as expected
"""
mock_return_popen_stdout = b"123123" + \
str.encode(consts.field_separator) +\
b"1 []#'" + \
str.encode(consts.field_separator) + \
b"[]-=1 2=\n"
expected = [data_io.StackDatum(123123,
("1 []#'", "[]-=1 2="))]
output = await self.mock(mock_return_popen_stdout)
self.assertEqual(output, expected)
class TCPTracerTest(asynctest.TestCase):
time = 5
@asynctest.patch('marple.collect.interface.ebpf.asyncio')
@asynctest.patch('marple.collect.interface.ebpf.logger')
@asynctest.patch('marple.collect.interface.ebpf.os')
@asynctest.patch('marple.collect.interface.ebpf.TCPTracer._generate_dict')
@asynctest.patch('marple.collect.interface.ebpf.TCPTracer._generate_events')
@asynctest.patch('marple.common.util.platform.release')
async def test_collect_normal(self, release_mock, gen_events_mock,
gen_dict_mock, os_mock, log_mock, async_mock):
"""
Test normal operation, when tcptracer outputs KeyboardInterrupt only
"""
# Set up mocks
release_mock.return_value = "100.0.0" # so we ignore the kernel check
create_mock = asynctest.CoroutineMock()
wait_mock = asynctest.CoroutineMock()
# Set up subprocess
async_mock.create_subprocess_shell = create_mock
pipe_mock = async_mock.subprocess.PIPE
# Set up timeout stuff
async_mock.wait = wait_mock
output_mock = asyncio.Future()
output_mock.set_result(
(b'output', b'Traceback (most recent call last):\nstacktrace'
b'\nstacktrace etc.\nKeyboardInterrupt\n'))
wait_mock.side_effect = [([None], [output_mock])]
# Begin test
collecter = ebpf.TCPTracer(self.time, None)
await collecter.collect()
# Run checks
create_mock.assert_has_calls([
asynctest.call(
ebpf.BCC_TOOLS_PATH + 'tcptracer ' + '-tv',
stdout=pipe_mock, stderr=pipe_mock, preexec_fn=os_mock.setsid
),
asynctest.call().communicate()
])
wait_mock.assert_called_once_with(
[async_mock.ensure_future(
create_mock.return_value.communicate.return_value)],
timeout=self.time
)
os_mock.killpg.assert_called_once_with(create_mock.return_value.pid,
ebpf.signal.SIGINT)
log_mock.error.assert_not_called()
gen_dict_mock.assert_called_once()
gen_events_mock.assert_called_once()
@asynctest.patch('marple.collect.interface.ebpf.asyncio')
@asynctest.patch('marple.collect.interface.ebpf.logger')
@asynctest.patch('marple.collect.interface.ebpf.os')
@asynctest.patch('marple.collect.interface.ebpf.TCPTracer._generate_dict')
@asynctest.patch('marple.collect.interface.ebpf.TCPTracer._generate_events')
@asynctest.patch('marple.common.util.platform.release')
async def test_collect_error(self, release_mock, gen_events_mock,
gen_dict_mock, os_mock, log_mock, async_mock):
"""
Test error operation, when tcptracer outputs an error
"""
# Set up mocks
release_mock.return_value = "100.0.0" # so we ignore the kernel check
create_mock = asynctest.CoroutineMock()
wait_mock = asynctest.CoroutineMock()
# Set up subprocess
async_mock.create_subprocess_shell = create_mock
pipe_mock = async_mock.subprocess.PIPE
# Set up timeout stuff
async_mock.wait = wait_mock
output_mock = asyncio.Future()
output_mock.set_result(
(b'output', b'Traceback (most recent call last):\nstacktrace'
b'\nstacktrace etc.\nKeyboardInterrupt\nERROR'))
wait_mock.side_effect = [([None], [output_mock])]
# Begin test
collecter = ebpf.TCPTracer(self.time, None)
await collecter.collect()
# Run checks
create_mock.assert_has_calls([
asynctest.call(
ebpf.BCC_TOOLS_PATH + 'tcptracer ' + '-tv',
stdout=pipe_mock, stderr=pipe_mock, preexec_fn=os_mock.setsid
),
asynctest.call().communicate()
])
wait_mock.assert_called_once_with(
[async_mock.ensure_future(
create_mock.return_value.communicate.return_value)],
timeout=self.time
)
os_mock.killpg.assert_called_once_with(create_mock.return_value.pid,
ebpf.signal.SIGINT)
log_mock.error.assert_called_once_with(
'Traceback (most recent call last):\nstacktrace'
'\nstacktrace etc.\nKeyboardInterrupt\nERROR')
def test_generate_dict_empty(self):
""" Test _generate_dict with empty data"""
tracer = object.__new__(ebpf.TCPTracer)
data = StringIO(
"header1\nheader2\n"
)
result = tracer._generate_dict(data)
self.assertEqual({}, result)
def test_generate_dict_single(self):
""" Test _generate_dict with single entries for each port """
tracer = object.__new__(ebpf.TCPTracer)
tracer.options = None
data = StringIO(
"header1\n"
"time type pid comm ip s_addr d_addr s_port d_port size netns\n"
"1 A 2 comm1 4 127. 127. 3 4 1 5\n"
"6 B 7 comm2 4 127. 127. 4 3 1 5\n"
"1 A 2 comm3 4 x x 3 4 1 5\n"
)
expected = {3: {(2, 'comm1')}, 4: {(7, 'comm2')}}
result = tracer._generate_dict(data)
self.assertEqual(expected, result)
def test_generate_dict_single_ns(self):
"""
Test _generate_dict with single entries for each port, allowing
only a single namespace
"""
tracer = object.__new__(ebpf.TCPTracer)
tracer.options = ebpf.TCPTracer.Options(5)
data = StringIO(
"header1\n"
"time type pid comm ip s_addr d_addr s_port d_port size netns\n"
"1 A 2 comm1 4 127. 127. 3 4 1 5\n"
"6 B 7 comm2 4 127. 127. 4 3 1 5\n"
"6 B 8 comm4 4 127. 127. 4 3 1 6\n"
"1 A 2 comm3 4 x x 3 4 1 5\n"
)
expected = {3: {(2, 'comm1')}, 4: {(7, 'comm2')}}
result = tracer._generate_dict(data)
self.assertEqual(expected, result)
def test_generate_dict_multiple(self):
""" Test _generate_dict with multiple entries for a port """
tracer = object.__new__(ebpf.TCPTracer)
tracer.options = None
data = StringIO(
"header1\n"
"time type pid comm ip s_addr d_addr s_port d_port size netns\n"
"1 A 2 comm1 4 127. 127. 3 4 1 5\n"
"6 B 7 comm2 4 127. 127. 4 3 1 5\n"
"7 C 8 comm4 4 127. 127. 4 2 1 5\n"
"1 A 2 comm3 4 x x 3 4 1 5\n"
)
expected = {3: {(2, 'comm1')}, 4: {(7, 'comm2'), (8, 'comm4')}}
result = tracer._generate_dict(data)
self.assertEqual(expected, result)
def test_generate_dict_multiple_ns(self):
"""
Test _generate_dict with multiple entries for a port, allowing
only a single namespace
"""
tracer = object.__new__(ebpf.TCPTracer)
tracer.options = ebpf.TCPTracer.Options(5)
data = StringIO(
"header1\n"
"time type pid comm ip s_addr d_addr s_port d_port size netns\n"
"1 A 2 comm1 4 127. 127. 3 4 1 5\n"
"6 B 7 comm2 4 127. 127. 4 3 1 5\n"
"7 C 8 comm4 4 127. 127. 4 2 1 5\n"
"6 B 9 comm5 4 127. 127. 4 3 1 6\n"
"1 A 2 comm3 4 x x 3 4 1 5\n"
)
expected = {3: {(2, 'comm1')}, 4: {(7, 'comm2'), (8, 'comm4')}}
result = tracer._generate_dict(data)
self.assertEqual(expected, result)
def test_generate_events_empty_data(self):
"""
Test _generate_events with no data
"""
tracer = object.__new__(ebpf.TCPTracer)
data = StringIO(
"header1\nheader2\n"
)
result = list(tracer._generate_events(data, {4: (1, 'comm')}))
self.assertEqual([], result)
@asynctest.patch('marple.collect.interface.ebpf.output')
def test_generate_events_empty_dict(self, output_mock):
"""
Test _generate_events with no dict - tests failure to find port mapping
"""
tracer = object.__new__(ebpf.TCPTracer)
tracer.options = None
data = StringIO(
"header1\n"
"time type pid comm ip s_addr d_addr s_port d_port size netns\n"
"1 A 2 comm1 4 127. 127. 3 4 1 5\n"
"6 B 7 comm2 4 127. 127. 4 3 1 5\n"
"1 A 2 comm3 4 x x 3 4 1 5\n"
)
result = list(tracer._generate_events(data, {}))
self.assertEqual([], result)
expected_errors = [
asynctest.call(
text="IPC: Could not find destination port PID/comm. "
"Check log for details.",
description="Could not find destination port PID/comm: "
"Time: 1 Type: A Source PID: 2 "
"Source comm: comm1 Source port : 3 "
"Dest port: 4 Net namespace: 5"
),
asynctest.call(
text="IPC: Could not find destination port PID/comm. "
"Check log for details.",
description="Could not find destination port PID/comm: "
"Time: 6 Type: B Source PID: 7 "
"Source comm: comm2 Source port : 4 "
"Dest port: 3 Net namespace: 5"
)
]
output_mock.error_.assert_has_calls(expected_errors)
def test_generate_events_normal(self):
"""
Test _generate_events under normal operation, using all net namespaces
"""
tracer = object.__new__(ebpf.TCPTracer)
tracer.options = None
data = StringIO(
"header1\n"
"time type pid comm ip s_addr d_addr s_port d_port size netns\n"
"1 A 2 comm1 4 127. 127. 3 4 1 5\n"
"6 B 7 comm2 4 127. 127. 4 3 1 5\n"
"1 A 2 comm3 4 x x 3 4 1 5\n"
)
port_dict = {4: {('pid1', 'test1')}, 3: {('pid2', 'test2')}}
result = list(tracer._generate_events(data, port_dict))
expected = [
data_io.EventDatum(
time=1, type='A', connected=[('source_', 'dest_')],
specific_datum={
"source_pid": 2,
"source_comm": 'comm1',
"source_port": 3,
"dest_pid": 'pid1',
"dest_comm": 'test1',
"dest_port": 4,
"size": 1,
"net_ns": 5
}
),
data_io.EventDatum(
time=6, type='B', connected=[('source_', 'dest_')],
specific_datum={
"source_pid": 7,
"source_comm": 'comm2',
"source_port": 4,
"dest_pid": 'pid2',
"dest_comm": 'test2',
"dest_port": 3,
"size": 1,
"net_ns": 5
}
)
]
self.assertEqual(expected, result)
@asynctest.patch('marple.collect.interface.ebpf.output')
def test_generate_events_full_dict(self, output_mock):
"""
Test _generate_events under normal operation, using all net namespaces
"""
tracer = object.__new__(ebpf.TCPTracer)
tracer.options = None
data = StringIO(
"header1\n"
"time type pid comm ip s_addr d_addr s_port d_port size netns\n"
"1 A 2 comm1 4 127. 127. 3 4 1 5\n"
"6 B 7 comm2 4 127. 127. 4 3 1 5\n"
"1 A 2 comm3 4 x x 3 4 1 5\n"
)
port_dict = {4: {('pid1', 'test1')},
3: {('pid2', 'test2'), ('pid3', 'test3')}}
result = list(tracer._generate_events(data, port_dict))
expected = [
data_io.EventDatum(
time=1, type='A', connected=[('source_', 'dest_')],
specific_datum={
"source_pid": 2,
"source_comm": 'comm1',
"source_port": 3,
"dest_pid": 'pid1',
"dest_comm": 'test1',
"dest_port": 4,
"size": 1,
"net_ns": 5
}
)
]
self.assertEqual(expected, result)
expected_errors = [
asynctest.call(
text="IPC: Too many destination port PIDs/comms found. "
"Check log for details.",
description="Too many destination port PIDs/comms found: "
"Time: 6 Type: B Source PID: 7 "
"Source comm: comm2 Source port : 4 "
"Dest (port, comm) pairs: "
"[('pid2', 'test2'), ('pid3', 'test3')] "
"Net namespace: 5"
)
]
output_mock.error_.assert_has_calls(expected_errors) | 39.8041 | 86 | 0.513735 | 1,929 | 17,474 | 4.465008 | 0.127009 | 0.005341 | 0.008011 | 0.006502 | 0.819343 | 0.790897 | 0.766167 | 0.70382 | 0.70382 | 0.696505 | 0 | 0.045459 | 0.381882 | 17,474 | 439 | 87 | 39.8041 | 0.751967 | 0.065297 | 0 | 0.682692 | 0 | 0 | 0.282822 | 0.047148 | 0 | 0 | 0 | 0 | 0.076923 | 1 | 0.028846 | false | 0 | 0.016026 | 0 | 0.060897 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
5a64bfafd153f2a9f69b78df20ff421cbf78e0e2 | 37,402 | py | Python | src/openprocurement/agreement/cfaua/tests/agreement_blanks.py | pontostroy/openprocurement.api | 6651ef29413d155c83f893ee64a611cf75f4daaf | [
"Apache-2.0"
] | null | null | null | src/openprocurement/agreement/cfaua/tests/agreement_blanks.py | pontostroy/openprocurement.api | 6651ef29413d155c83f893ee64a611cf75f4daaf | [
"Apache-2.0"
] | 2 | 2021-03-25T23:27:04.000Z | 2022-03-21T22:18:15.000Z | src/openprocurement/agreement/cfaua/tests/agreement_blanks.py | scrubele/prozorro-testing | 42b93ea2f25d8cc40e66c596f582c7c05e2a9d76 | [
"Apache-2.0"
] | 1 | 2020-08-20T06:09:14.000Z | 2020-08-20T06:09:14.000Z | # -*- coding: utf-8 -*-
import uuid
from copy import deepcopy
from openprocurement.tender.core.tests.base import change_auth
from openprocurement.api.constants import ROUTE_PREFIX
from openprocurement.api.utils import get_now
from openprocurement.agreement.cfaua.tests.base import TEST_DOCUMENTS
def create_agreement(self):
data = self.initial_data
data["id"] = uuid.uuid4().hex
with change_auth(self.app, ("Basic", ("agreements", ""))) as app:
response = self.app.post_json("/agreements", {"data": data})
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["agreementID"], data["agreementID"])
response = self.app.get("/agreements/{}".format(data["id"]))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["id"], data["id"])
def create_agreement_with_documents(self):
data = deepcopy(self.initial_data)
data["id"] = uuid.uuid4().hex
data["documents"] = TEST_DOCUMENTS
with change_auth(self.app, ("Basic", ("agreements", ""))) as app:
response = self.app.post_json("/agreements", {"data": data})
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["agreementID"], data["agreementID"])
response = self.app.get("/agreements/{}".format(data["id"]))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["id"], data["id"])
response = self.app.get("/agreements/{}/documents".format(data["id"]))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(len(response.json["data"]), len(TEST_DOCUMENTS))
def create_agreement_with_features(self):
data = deepcopy(self.initial_data)
item = data["items"][0].copy()
item["id"] = "1"
data["items"] = [item]
data["features"] = self.features
parameters = {"parameters": [{"code": i["code"], "value": i["enum"][0]["value"]} for i in data["features"]]}
for contract in data["contracts"]:
contract.update(parameters)
with change_auth(self.app, ("Basic", ("agreements", ""))) as app:
response = self.app.post_json("/agreements", {"data": data})
self.assertEqual((response.status, response.content_type), ("201 Created", "application/json"))
agreement = response.json["data"]
self.assertEqual(agreement["features"], data["features"])
for contract in agreement["contracts"]:
self.assertEqual(contract["parameters"], parameters["parameters"])
def patch_agreement_features_invalid(self):
data = deepcopy(self.initial_data)
item = data["items"][0].copy()
item["id"] = "1"
data["items"] = [item]
data["features"] = self.features
with change_auth(self.app, ("Basic", ("agreements", ""))) as app:
response = self.app.post_json("/agreements", {"data": data})
self.assertEqual((response.status, response.content_type), ("201 Created", "application/json"))
agreement = response.json["data"]
self.assertEqual(agreement["features"], data["features"])
agreement = response.json["data"]
token = response.json["access"]["token"]
new_features = deepcopy(data["features"])
new_features[0]["code"] = "OCDS-NEW-CODE"
response = self.app.patch_json(
"/agreements/{}?acc_token={}".format(agreement["id"], token), {"data": {"features": new_features}}, status=403
)
self.assertEqual((response.status, response.content_type), ("403 Forbidden", "application/json"))
self.assertEqual(response.json["errors"][0]["description"], "Can't change features")
def get_agreements_by_id(self):
response = self.app.get("/agreements/{}".format(self.agreement_id))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["id"], self.agreement_id)
bad_agreement_id = uuid.uuid4().hex
response = self.app.get("/agreements/{}".format(bad_agreement_id), status=404)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
def generate_credentials(self):
tender_token = self.initial_data["tender_token"]
response = self.app.get("/agreements/{}".format(self.agreement_id))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["status"], "active")
response = self.app.patch_json(
"/agreements/{}?acc_token={}".format(self.agreement_id, tender_token),
{"data": {"status": "active"}},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
response = self.app.patch_json(
"/agreements/{}/credentials?acc_token={}".format(self.agreement_id, tender_token), {"data": ""}
)
self.assertEqual(response.status, "200 OK")
token = response.json.get("access", {}).get("token")
self.assertIsNotNone(token)
doc = self.db.get(self.agreement_id)
self.assertEqual(doc["owner_token"], token)
def agreement_patch_invalid(self):
for data in [
{"title": "new title"},
{
"items": [
{
"description": "description",
"additionalClassifications": [
{"scheme": u"ДКПП", "id": "01.11.83-00.00", "description": u"Арахіс лущений"}
],
"deliveryAddress": {
"postalCode": "11223",
"countryName": u"Україна",
"streetAddress": u"ываыпып",
"region": u"Київська область",
"locality": u"м. Київ",
},
"deliveryDate": {"startDate": "2016-05-16T00:00:00+03:00", "endDate": "2016-06-29T00:00:00+03:00"},
}
]
},
{
"procuringEntity": {
"contactPoint": {"email": "mail@gmail.com"},
"identifier": {
"scheme": "UA-EDR",
"id": "111111111111111",
"legalName": u"Демо организатор (государственные торги)",
},
"name": u"Демо организатор (государственные торги)",
"kind": "other",
"address": {"postalCode": "21027", "countryName": "Україна"},
}
},
]:
response = self.app.patch_json("/agreements/{}?acc_token={}".format(self.agreement_id, self.agreement_token), {"data": data})
self.assertEqual(response.status, "200 OK")
self.assertIsNone(response.json)
agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertNotIn("changes", agreement)
change_data = deepcopy(self.initial_change)
change_data["rationaleType"] = "thirdParty"
change_data["modifications"] = [{"itemId": agreement["items"][0]["id"], "factor": 0.001}]
response = self.app.post_json(
"/agreements/{}/changes?acc_token={}".format(self.agreement_id, self.agreement_token), {"data": change_data}
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.json["data"]["status"], "pending")
change_id = response.json["data"]["id"]
response = self.app.patch_json(
"/agreements/{}?acc_token={}".format(self.agreement_id, self.agreement_token), {"data": {"status": "terminated"}}, status=403
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"],
[
{
u"description": u"Can't update agreement status with pending change.",
u"location": u"body",
u"name": u"data",
}
],
)
response = self.app.patch_json(
"/agreements/{}/changes/{}?acc_token={}".format(self.agreement_id, change_id, self.agreement_token),
{"data": {"status": "active", "dateSigned": get_now().isoformat()}},
)
self.assertEqual((response.status, response.content_type), ("200 OK", "application/json"))
response = self.app.patch_json(
"/agreements/{}?acc_token={}".format(self.agreement_id, self.agreement_token), {"data": {"status": "terminated"}}
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["status"], "terminated")
response = self.app.patch_json(
"/agreements/{}/credentials?acc_token={}".format(self.agreement_id, self.initial_data["tender_token"]),
{"data": ""},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"],
[
{
u"description": u"Can't generate credentials in current (terminated)" u" agreement status",
u"location": u"body",
u"name": u"data",
}
],
)
def empty_listing(self):
response = self.app.get("/agreements")
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"], [])
self.assertNotIn('{\n "', response.body)
self.assertNotIn("callback({", response.body)
self.assertEqual(response.json["next_page"]["offset"], "")
self.assertNotIn("prev_page", response.json)
response = self.app.get("/agreements?opt_jsonp=callback")
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/javascript")
self.assertNotIn('{\n "', response.body)
self.assertIn("callback({", response.body)
response = self.app.get("/agreements?opt_pretty=1")
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertIn('{\n "', response.body)
self.assertNotIn("callback({", response.body)
response = self.app.get("/agreements?opt_jsonp=callback&opt_pretty=1")
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/javascript")
self.assertIn('{\n "', response.body)
self.assertIn("callback({", response.body)
response = self.app.get("/agreements?offset=2015-01-01T00:00:00+02:00&descending=1&limit=10")
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"], [])
self.assertIn("descending=1", response.json["next_page"]["uri"])
self.assertIn("limit=10", response.json["next_page"]["uri"])
self.assertNotIn("descending=1", response.json["prev_page"]["uri"])
self.assertIn("limit=10", response.json["prev_page"]["uri"])
response = self.app.get("/agreements?feed=changes")
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"], [])
self.assertEqual(response.json["next_page"]["offset"], "")
self.assertNotIn("prev_page", response.json)
response = self.app.get("/agreements?feed=changes&offset=0", status=404)
self.assertEqual(response.status, "404 Not Found")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["status"], "error")
self.assertEqual(
response.json["errors"],
[{u"description": u"Offset expired/invalid", u"location": u"params", u"name": u"offset"}],
)
response = self.app.get("/agreements?feed=changes&descending=1&limit=10")
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"], [])
self.assertIn("descending=1", response.json["next_page"]["uri"])
self.assertIn("limit=10", response.json["next_page"]["uri"])
self.assertNotIn("descending=1", response.json["prev_page"]["uri"])
self.assertIn("limit=10", response.json["prev_page"]["uri"])
def listing(self):
response = self.app.get("/agreements")
self.assertEqual(response.status, "200 OK")
self.assertEqual(len(response.json["data"]), 0)
agreements = []
for i in range(3):
data = deepcopy(self.initial_data)
data["id"] = uuid.uuid4().hex
offset = get_now().isoformat()
with change_auth(self.app, ("Basic", ("agreements", ""))) as app:
response = self.app.post_json("/agreements", {"data": data})
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
agreements.append(response.json["data"])
ids = ",".join([i["id"] for i in agreements])
while True:
response = self.app.get("/agreements")
self.assertEqual(response.status, "200 OK")
self.assertTrue(ids.startswith(",".join([i["id"] for i in response.json["data"]])))
if len(response.json["data"]) == 3:
break
self.assertEqual(len(response.json["data"]), 3)
self.assertEqual(",".join([i["id"] for i in response.json["data"]]), ids)
self.assertEqual(set(response.json["data"][0]), set([u"id", u"dateModified"]))
self.assertEqual(set([i["id"] for i in response.json["data"]]), set([i["id"] for i in agreements]))
self.assertEqual(
set([i["dateModified"] for i in response.json["data"]]), set([i["dateModified"] for i in agreements])
)
self.assertEqual(
[i["dateModified"] for i in response.json["data"]], sorted([i["dateModified"] for i in agreements])
)
response = self.app.get("/agreements?offset={}".format(offset))
self.assertEqual(response.status, "200 OK")
self.assertEqual(len(response.json["data"]), 1)
response = self.app.get("/agreements?limit=2")
self.assertEqual(response.status, "200 OK")
self.assertNotIn("prev_page", response.json)
self.assertEqual(len(response.json["data"]), 2)
response = self.app.get(response.json["next_page"]["path"].replace(ROUTE_PREFIX, ""))
self.assertEqual(response.status, "200 OK")
self.assertIn("descending=1", response.json["prev_page"]["uri"])
self.assertEqual(len(response.json["data"]), 1)
response = self.app.get(response.json["next_page"]["path"].replace(ROUTE_PREFIX, ""))
self.assertEqual(response.status, "200 OK")
self.assertIn("descending=1", response.json["prev_page"]["uri"])
self.assertEqual(len(response.json["data"]), 0)
response = self.app.get("/agreements", params=[("opt_fields", "agreementID")])
self.assertEqual(response.status, "200 OK")
self.assertEqual(len(response.json["data"]), 3)
self.assertEqual(set(response.json["data"][0]), set([u"id", u"dateModified", u"agreementID"]))
self.assertIn("opt_fields=agreementID", response.json["next_page"]["uri"])
response = self.app.get("/agreements?descending=1")
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(len(response.json["data"]), 3)
self.assertEqual(set(response.json["data"][0]), set([u"id", u"dateModified"]))
self.assertEqual(set([i["id"] for i in response.json["data"]]), set([i["id"] for i in agreements]))
self.assertEqual(
[i["dateModified"] for i in response.json["data"]],
sorted([i["dateModified"] for i in agreements], reverse=True),
)
response = self.app.get("/agreements?descending=1&limit=2")
self.assertEqual(response.status, "200 OK")
self.assertNotIn("descending=1", response.json["prev_page"]["uri"])
self.assertEqual(len(response.json["data"]), 2)
response = self.app.get(response.json["next_page"]["path"].replace(ROUTE_PREFIX, ""))
self.assertEqual(response.status, "200 OK")
self.assertNotIn("descending=1", response.json["prev_page"]["uri"])
self.assertEqual(len(response.json["data"]), 1)
response = self.app.get(response.json["next_page"]["path"].replace(ROUTE_PREFIX, ""))
self.assertEqual(response.status, "200 OK")
self.assertNotIn("descending=1", response.json["prev_page"]["uri"])
self.assertEqual(len(response.json["data"]), 0)
test_agreement_data2 = deepcopy(self.initial_data)
test_agreement_data2["mode"] = "test"
with change_auth(self.app, ("Basic", ("agreements", ""))) as app:
response = self.app.post_json("/agreements", {"data": test_agreement_data2})
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
while True:
response = self.app.get("/agreements?mode=test")
self.assertEqual(response.status, "200 OK")
if len(response.json["data"]) == 1:
break
self.assertEqual(len(response.json["data"]), 1)
response = self.app.get("/agreements?mode=_all_")
self.assertEqual(response.status, "200 OK")
self.assertEqual(len(response.json["data"]), 4)
response = self.app.get("/agreements?mode=_all_&opt_fields=status")
self.assertEqual(response.status, "200 OK")
self.assertEqual(len(response.json["data"]), 4)
def agreement_preview(self):
response = self.app.get("/agreements/{}".format(self.agreement_id))
agreement = response.json["data"]
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
agreement_preview = response.json["data"]
self.assertEqual(agreement, agreement_preview)
unit_prices_before = [
unit_price
for contract in response.json["data"]["contracts"]
for unit_price in contract["unitPrices"]
if unit_price["relatedItem"] == agreement["items"][0]["id"]
]
# create change
response = self.app.post_json(
"/agreements/{}/changes?acc_token={}".format(self.agreement_id, self.agreement_token),
{
"data": {
"rationale": u"Принцеси .....",
"rationale_ru": u"ff",
"rationale_en": "asdf",
"agreementNumber": 12,
"rationaleType": "taxRate",
"modifications": [{"itemId": agreement["items"][0]["id"], "addend": "1.25"}],
}
},
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
self.assertIn("rationaleType", response.json["data"])
self.assertEqual(response.json["data"]["rationaleType"], "taxRate")
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
unit_prices_after = [
unit_price
for contract in response.json["data"]["contracts"]
for unit_price in contract["unitPrices"]
if unit_price["relatedItem"] == agreement["items"][0]["id"]
]
self.assertNotEqual(unit_prices_after, unit_prices_before)
def agreement_change_tax_rate_preview(self):
agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertNotIn("changes", agreement)
change_data = deepcopy(self.initial_change)
self.assertEqual(change_data["rationaleType"], "taxRate")
change_data["modifications"] = [{"itemId": agreement["items"][0]["id"], "addend": 10}]
# create taxRate change with addend
response = self.app.post_json(
"/agreements/{}/changes?acc_token={}".format(self.agreement_id, self.agreement_token), {"data": change_data}
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.json["data"]["status"], "pending")
self.assertEqual(response.json["data"]["rationaleType"], "taxRate")
self.assertEqual(response.json["data"]["modifications"], change_data["modifications"])
self.assertNotIn("warnings", response.json)
change_id = response.json["data"]["id"]
real_agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertEqual(len(real_agreement["changes"]), 1)
real_agreement.pop("changes")
real_agreement.pop("dateModified")
agreement.pop("dateModified")
self.assertEqual(agreement, real_agreement)
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
self.assertNotIn("warnings", response.json)
preview_agreement = response.json["data"]
real_unit_prices = [
unit_price["value"]["amount"]
for contract in real_agreement["contracts"]
for unit_price in contract["unitPrices"]
if unit_price["relatedItem"] == agreement["items"][0]["id"]
]
preview_unit_prices = [
unit_price["value"]["amount"]
for contract in preview_agreement["contracts"]
for unit_price in contract["unitPrices"]
if unit_price["relatedItem"] == agreement["items"][0]["id"]
]
self.assertNotEqual(real_unit_prices, preview_unit_prices)
for i, v in enumerate(real_unit_prices):
self.assertEqual(preview_unit_prices[i], v + 10)
# activate change
response = self.app.patch_json(
"/agreements/{}/changes/{}?acc_token={}".format(self.agreement_id, change_id, self.agreement_token),
{"data": {"status": "active", "dateSigned": get_now().isoformat()}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.json["data"]["status"], "active")
self.assertNotIn("warnings", response.json)
# get real agreement
real_agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertEqual(real_agreement["changes"][-1]["status"], "active")
self.assertEqual(real_agreement["contracts"], preview_agreement["contracts"])
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
preview_agreement = response.json["data"]
self.assertNotIn("warnings", response.json)
self.assertEqual(real_agreement, preview_agreement)
def agreement_change_item_price_variation_preview(self):
agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertNotIn("changes", agreement)
change_data = deepcopy(self.initial_change)
change_data["rationaleType"] = "itemPriceVariation"
change_data["modifications"] = [{"itemId": agreement["items"][0]["id"], "factor": 0.9}]
# create itemPriceVariation change with addend
response = self.app.post_json(
"/agreements/{}/changes?acc_token={}".format(self.agreement_id, self.agreement_token), {"data": change_data}
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.json["data"]["status"], "pending")
self.assertEqual(response.json["data"]["rationaleType"], "itemPriceVariation")
self.assertEqual(response.json["data"]["modifications"], change_data["modifications"])
self.assertNotIn("warnings", response.json)
change_id = response.json["data"]["id"]
real_agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertEqual(len(real_agreement["changes"]), 1)
real_agreement.pop("changes")
real_agreement.pop("dateModified")
agreement.pop("dateModified")
self.assertEqual(agreement, real_agreement)
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
preview_agreement = response.json["data"]
self.assertNotIn("warnings", response.json)
real_unit_prices = [
unit_price["value"]["amount"]
for contract in real_agreement["contracts"]
for unit_price in contract["unitPrices"]
if unit_price["relatedItem"] == agreement["items"][0]["id"]
]
preview_unit_prices = [
unit_price["value"]["amount"]
for contract in preview_agreement["contracts"]
for unit_price in contract["unitPrices"]
if unit_price["relatedItem"] == agreement["items"][0]["id"]
]
self.assertNotEqual(real_unit_prices, preview_unit_prices)
for i, v in enumerate(real_unit_prices):
self.assertEqual(preview_unit_prices[i], v * 0.9)
# activate change
response = self.app.patch_json(
"/agreements/{}/changes/{}?acc_token={}".format(self.agreement_id, change_id, self.agreement_token),
{"data": {"status": "active", "dateSigned": get_now().isoformat()}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.json["data"]["status"], "active")
self.assertNotIn("warnings", response.json)
# get real agreement
response = self.app.get("/agreements/{}".format(self.agreement_id))
real_agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertEqual(real_agreement["changes"][-1]["status"], "active")
self.assertEqual(real_agreement["contracts"], preview_agreement["contracts"])
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
preview_agreement = response.json["data"]
self.assertNotIn("warnings", response.json)
self.assertEqual(real_agreement, preview_agreement)
def agreement_change_third_party_preview(self):
agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertNotIn("changes", agreement)
change_data = deepcopy(self.initial_change)
change_data["rationaleType"] = "thirdParty"
change_data["modifications"] = [{"itemId": agreement["items"][0]["id"], "factor": 0.1}]
# create thirdParty change with addend
response = self.app.post_json(
"/agreements/{}/changes?acc_token={}".format(self.agreement_id, self.agreement_token), {"data": change_data}
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.json["data"]["status"], "pending")
self.assertEqual(response.json["data"]["rationaleType"], "thirdParty")
self.assertEqual(response.json["data"]["modifications"], change_data["modifications"])
self.assertNotIn("warnings", response.json)
change_id = response.json["data"]["id"]
real_agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertEqual(len(real_agreement["changes"]), 1)
real_agreement.pop("changes")
real_agreement.pop("dateModified")
agreement.pop("dateModified")
self.assertEqual(agreement, real_agreement)
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
preview_agreement = response.json["data"]
self.assertNotIn("warnings", response.json)
real_unit_prices = [
unit_price["value"]["amount"]
for contract in real_agreement["contracts"]
for unit_price in contract["unitPrices"]
if unit_price["relatedItem"] == agreement["items"][0]["id"]
]
preview_unit_prices = [
unit_price["value"]["amount"]
for contract in preview_agreement["contracts"]
for unit_price in contract["unitPrices"]
if unit_price["relatedItem"] == agreement["items"][0]["id"]
]
self.assertNotEqual(real_unit_prices, preview_unit_prices)
for i, v in enumerate(real_unit_prices):
self.assertEqual(preview_unit_prices[i], v * 0.1)
# activate change
response = self.app.patch_json(
"/agreements/{}/changes/{}?acc_token={}".format(self.agreement_id, change_id, self.agreement_token),
{"data": {"status": "active", "dateSigned": get_now().isoformat()}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.json["data"]["status"], "active")
self.assertNotIn("warnings", response.json)
# get real agreement
real_agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertEqual(real_agreement["changes"][-1]["status"], "active")
self.assertEqual(real_agreement["contracts"], preview_agreement["contracts"])
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
preview_agreement = response.json["data"]
self.assertNotIn("warnings", response.json)
self.assertEqual(real_agreement, preview_agreement)
def agreement_change_party_withdrawal_preview(self):
agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertNotIn("changes", agreement)
change_data = deepcopy(self.initial_change)
change_data["rationaleType"] = "partyWithdrawal"
change_data["modifications"] = [{"contractId": agreement["contracts"][0]["id"]}]
# create partyWithdrawal change with addend
response = self.app.post_json(
"/agreements/{}/changes?acc_token={}".format(self.agreement_id, self.agreement_token), {"data": change_data}
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.json["data"]["status"], "pending")
self.assertEqual(response.json["data"]["rationaleType"], "partyWithdrawal")
self.assertEqual(response.json["data"]["modifications"], change_data["modifications"])
self.assertIn("warnings", response.json)
self.assertEqual(response.json["warnings"], [u"Min active contracts in FrameworkAgreement less than 3."])
change_id = response.json["data"]["id"]
real_agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertEqual(len(real_agreement["changes"]), 1)
real_agreement.pop("changes")
real_agreement.pop("dateModified")
agreement.pop("dateModified")
self.assertEqual(agreement, real_agreement)
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
preview_agreement = response.json["data"]
self.assertIn("warnings", response.json)
self.assertEqual(response.json["warnings"], [u"Min active contracts in FrameworkAgreement less than 3."])
real_contracts = [contract["status"] == "active" for contract in real_agreement["contracts"]]
preview_contracts = [contract["status"] == "active" for contract in preview_agreement["contracts"]]
self.assertNotEqual(real_contracts, preview_contracts)
# activate change
response = self.app.patch_json(
"/agreements/{}/changes/{}?acc_token={}".format(self.agreement_id, change_id, self.agreement_token),
{"data": {"status": "active", "dateSigned": get_now().isoformat()}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.json["data"]["status"], "active")
self.assertNotIn("warnings", response.json)
# get real agreement
real_agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertEqual(real_agreement["changes"][-1]["status"], "active")
self.assertEqual(real_agreement["contracts"], preview_agreement["contracts"])
self.assertEqual(real_agreement["contracts"][0]["status"], "unsuccessful")
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
preview_agreement = response.json["data"]
self.assertNotIn("warnings", response.json)
self.assertEqual(real_agreement, preview_agreement)
self.assertEqual(preview_agreement["contracts"][0]["status"], "unsuccessful")
def agreement_change_party_withdrawal_cancelled_preview(self):
agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertNotIn("changes", agreement)
change_data = deepcopy(self.initial_change)
change_data["rationaleType"] = "partyWithdrawal"
change_data["modifications"] = [{"contractId": agreement["contracts"][0]["id"]}]
# create partyWithdrawal change with addend
response = self.app.post_json(
"/agreements/{}/changes?acc_token={}".format(self.agreement_id, self.agreement_token), {"data": change_data}
)
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.json["data"]["status"], "pending")
self.assertEqual(response.json["data"]["rationaleType"], "partyWithdrawal")
self.assertEqual(response.json["data"]["modifications"], change_data["modifications"])
self.assertIn("warnings", response.json)
self.assertEqual(response.json["warnings"], [u"Min active contracts in FrameworkAgreement less than 3."])
change_id = response.json["data"]["id"]
real_agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertEqual(len(real_agreement["changes"]), 1)
real_agreement.pop("changes")
real_agreement.pop("dateModified")
agreement.pop("dateModified")
self.assertEqual(agreement, real_agreement)
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
preview_agreement = response.json["data"]
self.assertIn("warnings", response.json)
self.assertEqual(response.json["warnings"], [u"Min active contracts in FrameworkAgreement less than 3."])
real_contracts = [contract["status"] == "active" for contract in real_agreement["contracts"]]
preview_contracts = [contract["status"] == "active" for contract in preview_agreement["contracts"]]
self.assertNotEqual(real_contracts, preview_contracts)
self.assertEqual(preview_agreement["contracts"][0]["status"], "unsuccessful")
# cancel change
response = self.app.patch_json(
"/agreements/{}/changes/{}?acc_token={}".format(self.agreement_id, change_id, self.agreement_token),
{"data": {"status": "cancelled"}},
)
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.json["data"]["status"], "cancelled")
self.assertNotIn("warnings", response.json)
# get real agreement
response = self.app.get("/agreements/{}".format(self.agreement_id))
real_agreement = response.json["data"]
self.assertEqual(real_agreement["changes"][-1]["status"], "cancelled")
self.assertNotEqual(real_agreement["contracts"], preview_agreement["contracts"])
self.assertEqual(real_agreement["contracts"][0]["status"], "active")
self.assertNotIn("warnings", response.json)
response = self.app.get("/agreements/{}/preview".format(self.agreement_id))
preview_agreement = response.json["data"]
self.assertEqual(real_agreement, preview_agreement)
self.assertEqual(preview_agreement["contracts"][0]["status"], "active")
self.assertNotIn("warnings", response.json)
def agreement_changes_patch_from_agreements(self):
agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertNotIn("changes", agreement)
change_data = deepcopy(self.initial_change)
change_data["rationaleType"] = "partyWithdrawal"
change_data["modifications"] = [{"contractId": agreement["contracts"][0]["id"]}]
response = self.app.patch_json(
"/agreements/{}?acc_token={}".format(self.agreement_id, self.agreement_token),
{"data": {"changes": [change_data]}},
)
self.assertEqual(response.status_code, 200)
agreement = self.app.get("/agreements/{}".format(self.agreement_id)).json["data"]
self.assertNotIn("changes", agreement)
def create_agreement_with_two_active_contracts(self):
data = self.initial_data
data["id"] = uuid.uuid4().hex
data["contracts"][0]["status"] = "unsuccessful"
with change_auth(self.app, ("Basic", ("agreements", ""))) as app:
response = self.app.post_json("/agreements", {"data": data})
self.assertEqual(response.status, "201 Created")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["agreementID"], data["agreementID"])
response = self.app.get("/agreements/{}".format(data["id"]))
self.assertEqual(response.status, "200 OK")
self.assertEqual(response.content_type, "application/json")
self.assertEqual(response.json["data"]["id"], data["id"])
self.assertEqual(
response.json["data"]["numberOfContracts"], len([c["id"] for c in data["contracts"] if c["status"] == "active"])
)
def agreement_token_invalid(self):
response = self.app.patch_json(
"/agreements/{}?acc_token={}".format(self.agreement_id, "fake token"), {"data": {}}, status=403
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"], [{u"description": u"Forbidden", u"location": u"url", u"name": u"permission"}]
)
response = self.app.patch_json(
"/agreements/{}?acc_token={}".format(self.agreement_id, "токен з кирилицею"), {"data": {}}, status=403
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"], [{u"description": u"Forbidden", u"location": u"url", u"name": u"permission"}]
)
def generate_credentials_invalid(self):
response = self.app.patch_json(
"/agreements/{0}/credentials?acc_token={1}".format(self.agreement_id, "fake token"), {"data": ""}, status=403
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"], [{u"description": u"Forbidden", u"location": u"url", u"name": u"permission"}]
)
response = self.app.patch_json(
"/agreements/{0}/credentials?acc_token={1}".format(self.agreement_id, "токен з кирилицею"),
{"data": ""},
status=403,
)
self.assertEqual(response.status, "403 Forbidden")
self.assertEqual(
response.json["errors"], [{u"description": u"Forbidden", u"location": u"url", u"name": u"permission"}]
)
| 45.226119 | 133 | 0.668012 | 4,291 | 37,402 | 5.703333 | 0.061291 | 0.120745 | 0.126875 | 0.072284 | 0.89278 | 0.870592 | 0.855964 | 0.833449 | 0.815674 | 0.802967 | 0 | 0.013633 | 0.158681 | 37,402 | 826 | 134 | 45.280872 | 0.764102 | 0.010909 | 0 | 0.677843 | 0 | 0.001458 | 0.228857 | 0.046085 | 0 | 0 | 0 | 0 | 0.381924 | 1 | 0.027697 | false | 0 | 0.008746 | 0 | 0.036443 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
5a7347b5b00973a40a9e8fb860a93342c5101c95 | 28 | py | Python | verify_email/__init__.py | r1235613/verify_email | df40226023bcc483ed40113419c0a085b5017b79 | [
"MIT"
] | 74 | 2018-10-27T17:51:00.000Z | 2022-03-30T15:36:40.000Z | verify_email/__init__.py | r1235613/verify_email | df40226023bcc483ed40113419c0a085b5017b79 | [
"MIT"
] | 26 | 2018-06-09T19:07:43.000Z | 2022-03-14T01:46:22.000Z | verify_email/__init__.py | r1235613/verify_email | df40226023bcc483ed40113419c0a085b5017b79 | [
"MIT"
] | 23 | 2018-06-10T07:18:29.000Z | 2022-01-21T18:47:09.000Z | from .verify_email import *
| 14 | 27 | 0.785714 | 4 | 28 | 5.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 28 | 1 | 28 | 28 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
5a803e50a0b78b135bdf4da89e5d3390a8b5d290 | 35,693 | py | Python | src/GridCal/Engine/IO/json_parser.py | mzy2240/GridCal | 0352f0e9ce09a9c037722bf2f2afc0a31ccd2880 | [
"BSD-3-Clause"
] | 284 | 2016-01-31T03:20:44.000Z | 2022-03-17T21:16:52.000Z | src/GridCal/Engine/IO/json_parser.py | mzy2240/GridCal | 0352f0e9ce09a9c037722bf2f2afc0a31ccd2880 | [
"BSD-3-Clause"
] | 94 | 2016-01-14T13:37:40.000Z | 2022-03-28T03:13:56.000Z | src/GridCal/Engine/IO/json_parser.py | mzy2240/GridCal | 0352f0e9ce09a9c037722bf2f2afc0a31ccd2880 | [
"BSD-3-Clause"
] | 84 | 2016-03-29T10:43:04.000Z | 2022-02-22T16:26:55.000Z | # This file is part of GridCal.
#
# GridCal is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# GridCal is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GridCal. If not, see <http://www.gnu.org/licenses/>.
import json
from GridCal.Engine.basic_structures import Logger
from GridCal.Engine.Core.multi_circuit import MultiCircuit
from GridCal.Engine.Devices import *
def parse_json_data(data) -> MultiCircuit:
"""
Parse JSON structure into GridCal MultiCircuit
:param data: JSON structure (list of dictionaries)
:return: GridCal MultiCircuit
"""
circuit = MultiCircuit()
bus_id = dict()
for element in data:
if element["phases"] == 'ps':
if element["type"] == "circuit":
circuit = MultiCircuit()
circuit.name = element["name"]
circuit.Sbase = element["Sbase"]
circuit.comments = element['comments']
elif element["type"] == "bus":
# create the bus and add some properties
elm = Bus(name=element["name"],
vnom=element["Vnom"],
vmin=0.9,
vmax=1.1,
xpos=element['x'],
ypos=element['y'],
height=element['h'],
width=element['w'],
active=True)
if element["is_slack"]:
elm.type = BusMode.Slack
if element["vmax"] > 0:
elm.Vmax = element["vmax"]
if element["vmin"] > 0:
elm.Vmin = element["vmin"]
elm.Zf = complex(element['rf'], element['xf'])
circuit.add_bus(elm)
# add the bus to the dictionary
bus_id[element["id"]] = elm
elif element["type"] == "load":
# get the matching bus object pointer
bus = bus_id[element["bus"]]
# create a load in the bus
elm = Load(name=element['name'],
G=element["G"],
B=element["B"],
Ir=element["Ir"],
Ii=element["Ii"],
P=element["P"],
Q=element["Q"],
active=element['active'])
bus.loads.append(elm)
elif element["type"] == "controlled_gen":
# get the matching bus object pointer
bus = bus_id[element["bus"]]
# create a load in the bus
elm = Generator(name=element['name'],
active_power=element["P"],
voltage_module=element["vset"],
Qmin=element['qmin'],
Qmax=element['qmax'],
Snom=element['Snom'],
power_prof=None,
vset_prof=None,
active=element['active'],
p_min=0.0,
p_max=element['Snom'],
op_cost=1.0)
bus.controlled_generators.append(elm)
elif element["type"] == "static_gen":
# get the matching bus object pointer
bus = bus_id[element["bus"]]
# create a load in the bus
elm = StaticGenerator(name=element['name'],
P=element['P'], Q=element['Q'],
active=element['active'])
bus.static_generators.append(elm)
elif element["type"] == "battery":
# get the matching bus object pointer
bus = bus_id[element["bus"]]
# create a load in the bus
elm = Battery(name=element['name'],
active_power=element["P"],
voltage_module=element["vset"],
Qmin=element['qmin'],
Qmax=element['qmax'],
Snom=element['Snom'],
Enom=element['Enom'],
power_prof=None,
vset_prof=None,
active=element['active'])
bus.batteries.append(elm)
elif element["type"] == "shunt":
# get the matching bus object pointer
bus = bus_id[element["bus"]]
# create a load in the bus
elm = Shunt(name=element['name'],
G=element["g"], B=element["b"],
active=element['active'])
bus.shunts.append(elm)
elif element["type"] == "branch":
# get the matching bus object pointer
bus1 = bus_id[element["from"]]
bus2 = bus_id[element["to"]]
# create a load in the bus
elm = Branch(bus_from=bus1,
bus_to=bus2,
name=element["name"],
r=element["r"],
x=element["x"],
g=element["g"],
b=element["b"],
rate=element["rate"],
tap=element["tap_module"],
shift_angle=element["tap_angle"],
active=element["active"],
mttf=0,
mttr=0,
branch_type=element["branch_type"])
circuit.add_branch(elm)
else:
warn('ID: ' + element["id"] + ' error: GridCal only takes positive sequence elements.')
return circuit
def parse_json_data_v3(data: dict, logger: Logger):
"""
New Json parser
:param data:
:param logger:
:return:
"""
devices = data['devices']
profiles = data['profiles']
if DeviceType.CircuitDevice.value in devices.keys():
dta = devices[DeviceType.CircuitDevice.value]
circuit = MultiCircuit(name=str(dta['name']),
Sbase=float(dta['sbase']),
fbase=float(dta['fbase']),
idtag=str(dta['id']))
jcircuit = devices["Circuit"]
circuit.Sbase = jcircuit["sbase"]
# Countries
country_dict = dict()
if 'Country' in devices.keys():
elms = devices["Country"]
for jentry in elms:
elm = Country(idtag=str(jentry['id']),
code=str(jentry['code']),
name=str(jentry['name']))
circuit.countries.append(elm)
country_dict[elm.idtag] = elm
else:
elm = Country(idtag=None, code='Default', name='Default')
circuit.countries.append(elm)
# Areas
areas_dict = dict()
if 'Area' in devices.keys():
elms = devices["Area"]
for jentry in elms:
elm = Area(idtag=str(jentry['id']),
code=str(jentry['code']),
name=str(jentry['name']))
circuit.areas.append(elm)
areas_dict[elm.idtag] = elm
else:
elm = Area(idtag=None, code='Default', name='Default')
circuit.areas.append(elm)
# Zones
zones_dict = dict()
if 'Zone' in devices.keys():
elms = devices["Zone"]
for jentry in elms:
elm = Zone(idtag=str(jentry['id']),
code=str(jentry['code']),
name=str(jentry['name']))
circuit.zones.append(elm)
zones_dict[elm.idtag] = elm
else:
elm = Zone(idtag=None, code='Default', name='Default')
circuit.zones.append(elm)
# Substations
substations_dict = dict()
if 'Substation' in devices.keys():
elms = devices["Substation"]
for jentry in elms:
elm = Substation(idtag=str(jentry['id']),
code=str(jentry['code']),
name=str(jentry['name']))
circuit.substations.append(elm)
substations_dict[elm.idtag] = elm
else:
elm = Substation(idtag=None, code='Default', name='Default')
circuit.substations.append(elm)
# buses
bus_dict = dict()
if 'Bus' in devices.keys():
buses = devices["Bus"]
for jentry in buses:
area_id = str(jentry['area']) if 'area' in jentry.keys() else ''
zone_id = str(jentry['zone']) if 'zone' in jentry.keys() else ''
substation_id = str(jentry['substation']) if 'substation' in jentry.keys() else ''
country_id = str(jentry['country']) if 'country' in jentry.keys() else ''
if area_id in areas_dict.keys():
area = areas_dict[area_id]
else:
area = circuit.areas[0]
if zone_id in zones_dict.keys():
zone = zones_dict[zone_id]
else:
zone = circuit.zones[0]
if substation_id in substations_dict.keys():
substation = substations_dict[substation_id]
else:
substation = circuit.substations[0]
if country_id in country_dict.keys():
country = country_dict[country_id]
else:
country = circuit.countries[0]
bus = Bus(name=str(jentry['name']),
idtag=str(jentry['id']),
code=str(jentry['name_code']),
vnom=float(jentry['vnom']),
vmin=float(jentry['vmin']),
vmax=float(jentry['vmax']),
r_fault=float(jentry['rf']),
x_fault=float(jentry['xf']),
xpos=float(jentry['x']),
ypos=float(jentry['y']),
height=float(jentry['h']),
width=float(jentry['w']),
active=bool(jentry['active']),
is_slack=bool(jentry['is_slack']),
area=area,
zone=zone,
substation=substation,
country=country,
longitude=float(jentry['lon']),
latitude=float(jentry['lat']))
bus_dict[jentry['id']] = bus
circuit.add_bus(bus)
if 'Generator' in devices.keys():
generators = devices["Generator"]
for jentry in generators:
gen = Generator(name=str(jentry['name']),
idtag=str(jentry['id']),
active_power=float(jentry['p']),
power_factor=float(jentry['pf']),
voltage_module=float(jentry['vset']),
is_controlled=bool(jentry['is_controlled']),
Qmin=float(jentry['qmin']),
Qmax=float(jentry['qmax']),
Snom=float(jentry['snom']),
active=bool(jentry['active']),
p_min=float(jentry['pmin']),
p_max=float(jentry['pmax']),
op_cost=float(jentry['cost']),
)
gen.bus = bus_dict[jentry['bus']]
circuit.add_generator(gen.bus, gen)
if 'Battery' in devices.keys():
batteries = devices["Battery"]
for jentry in batteries:
gen = Battery(name=str(jentry['name']),
idtag=str(jentry['id']),
active_power=float(jentry['p']),
power_factor=float(jentry['pf']),
voltage_module=float(jentry['vset']),
is_controlled=bool(jentry['is_controlled']),
Qmin=float(jentry['qmin']),
Qmax=float(jentry['qmax']),
Snom=float(jentry['snom']),
active=bool(jentry['active']),
p_min=float(jentry['pmin']),
p_max=float(jentry['pmax']),
op_cost=float(jentry['cost']),
)
gen.bus = bus_dict[jentry['bus']]
circuit.add_battery(gen.bus, gen)
if 'Load' in devices.keys():
loads = devices["Load"]
for jentry in loads:
elm = Load(name=str(jentry['name']),
idtag=str(jentry['id']),
P=float(jentry['p']),
Q=float(jentry['q']),
active=bool(jentry['active']))
elm.bus = bus_dict[jentry['bus']]
circuit.add_load(elm.bus, elm)
if "Shunt" in devices.keys():
shunts = devices["Shunt"]
for jentry in shunts:
elm = Shunt(name=str(jentry['name']),
idtag=str(jentry['id']),
G=float(jentry['g']),
B=float(jentry['b']),
Bmax=float(jentry['b_max']),
Bmin=float(jentry['b_min']),
active=bool(jentry['active']),
controlled=bool(jentry['controlled'])
)
elm.bus = bus_dict[jentry['bus']]
circuit.add_shunt(elm.bus, elm)
if "Line" in devices.keys():
lines = devices["Line"]
for entry in lines:
elm = Line(bus_from=bus_dict[entry['bus_from']],
bus_to=bus_dict[entry['bus_to']],
name=str(entry['name']),
idtag=str(entry['id']),
code=str(entry['name_code']),
r=float(entry['r']),
x=float(entry['x']),
b=float(entry['b']),
rate=float(entry['rate']),
active=entry['active'],
length=float(entry['length']),
temp_base=float(entry['base_temperature']),
temp_oper=float(entry['operational_temperature']),
alpha=float(entry['alpha'])
)
circuit.add_line(elm)
if "Transformer2w" in devices.keys():
transformers = devices["Transformer2w"]
for entry in transformers:
v1 = float(entry['Vnomf'])
v2 = float(entry['Vnomt'])
bus_from = bus_dict[entry['bus_from']]
bus_to = bus_dict[entry['bus_to']]
if v1 == 0.0:
v1 = bus_from.Vnom
if v2 == 0.0:
v2 = bus_to.Vnom
if v1 > v2:
HV = v1
LV = v2
else:
HV = v2
LV = v1
elm = Transformer2W(bus_from=bus_from,
bus_to=bus_to,
name=str(entry['name']),
idtag=str(entry['id']),
code=str(entry['name_code']),
r=float(entry['r']),
x=float(entry['x']),
g=float(entry['g']),
b=float(entry['b']),
rate=float(entry['rate']),
HV=HV,
LV=LV,
active=bool(entry['active']),
tap=float(entry['tap_module']),
shift_angle=float(entry['tap_angle']),
bus_to_regulated=bool(entry['bus_to_regulated']),
vset=float(entry['vset']),
temp_base=float(entry['base_temperature']),
temp_oper=float(entry['operational_temperature']),
alpha=float(entry['alpha'])
)
circuit.add_transformer2w(elm)
if "TransformerNw" in devices.keys():
transformers = devices["TransformerNw"]
for tentry in transformers:
for entry in tentry['windings']:
v1 = float(entry['Vnomf'])
v2 = float(entry['Vnomt'])
if v1 > v2:
HV = v1
LV = v2
else:
HV = v2
LV = v1
elm = Transformer2W(bus_from=bus_dict[entry['bus_from']],
bus_to=bus_dict[entry['bus_to']],
name=str(tentry['name']),
idtag=str(entry['id']),
code=str(entry['name_code']),
active=bool(tentry['active']),
r=float(entry['r']),
x=float(entry['x']),
g=float(entry['g']),
b=float(entry['b']),
rate=float(entry['rate']),
HV=HV,
LV=LV
)
circuit.add_transformer2w(elm)
if "VSC" in devices.keys():
vsc = devices["VSC"]
# TODO: call correct_buses_connection()
if "HVDC Line" in devices.keys():
hvdc = devices["HVDC Line"]
# fill x, y
circuit.fill_xy_from_lat_lon()
return circuit
else:
logger.add('The Json structure does not have a Circuit inside the devices!')
return MultiCircuit()
def parse_json_data_v2(data: dict, logger: Logger):
"""
New Json parser
:param data:
:param logger:
:return:
"""
devices = data['devices']
profiles = data['profiles']
if DeviceType.CircuitDevice.value in devices.keys():
dta = devices[DeviceType.CircuitDevice.value]
circuit = MultiCircuit(name=str(dta['name']),
Sbase=float(dta['sbase']),
fbase=float(dta['fbase']),
idtag=str(dta['id']))
jcircuit = devices["Circuit"]
circuit.Sbase = jcircuit["sbase"]
# Countries
country_dict = dict()
if 'Country' in devices.keys():
elms = devices["Country"]
for jentry in elms:
elm = Country(idtag=str(jentry['id']),
code=str(jentry['code']),
name=str(jentry['name']))
circuit.countries.append(elm)
country_dict[elm.idtag] = elm
else:
elm = Country(idtag=None, code='Default', name='Default')
circuit.countries.append(elm)
# Areas
areas_dict = dict()
if 'Area' in devices.keys():
elms = devices["Area"]
for jentry in elms:
elm = Area(idtag=str(jentry['id']),
code=str(jentry['code']),
name=str(jentry['name']))
circuit.areas.append(elm)
areas_dict[elm.idtag] = elm
else:
elm = Area(idtag=None, code='Default', name='Default')
circuit.areas.append(elm)
# Zones
zones_dict = dict()
if 'Zone' in devices.keys():
elms = devices["Zone"]
for jentry in elms:
elm = Zone(idtag=str(jentry['id']),
code=str(jentry['code']),
name=str(jentry['name']))
circuit.zones.append(elm)
zones_dict[elm.idtag] = elm
else:
elm = Zone(idtag=None, code='Default', name='Default')
circuit.zones.append(elm)
# Substations
substations_dict = dict()
if 'Substation' in devices.keys():
elms = devices["Substation"]
for jentry in elms:
elm = Substation(idtag=str(jentry['id']),
code=str(jentry['code']),
name=str(jentry['name']))
circuit.substations.append(elm)
substations_dict[elm.idtag] = elm
else:
elm = Substation(idtag=None, code='Default', name='Default')
circuit.substations.append(elm)
# buses
bus_dict = dict()
if 'Bus' in devices.keys():
buses = devices["Bus"]
for jentry in buses:
area_id = str(jentry['area']) if 'area' in jentry.keys() else ''
zone_id = str(jentry['zone']) if 'zone' in jentry.keys() else ''
substation_id = str(jentry['substation']) if 'substation' in jentry.keys() else ''
country_id = str(jentry['country']) if 'country' in jentry.keys() else ''
if area_id in areas_dict.keys():
area = areas_dict[area_id]
else:
area = circuit.areas[0]
if zone_id in zones_dict.keys():
zone = zones_dict[zone_id]
else:
zone = circuit.zones[0]
if substation_id in substations_dict.keys():
substation = substations_dict[substation_id]
else:
substation = circuit.substations[0]
if country_id in country_dict.keys():
country = country_dict[country_id]
else:
country = circuit.countries[0]
bus = Bus(name=str(jentry['name']),
idtag=str(jentry['id']),
vnom=float(jentry['vnom']),
vmin=float(jentry['vmin']),
vmax=float(jentry['vmax']),
r_fault=float(jentry['rf']),
x_fault=float(jentry['xf']),
xpos=float(jentry['x']),
ypos=float(jentry['y']),
height=float(jentry['h']),
width=float(jentry['w']),
active=bool(jentry['active']),
is_slack=bool(jentry['is_slack']),
area=area,
zone=zone,
substation=substation,
country=country,
longitude=float(jentry['lon']),
latitude=float(jentry['lat']))
bus_dict[jentry['id']] = bus
circuit.add_bus(bus)
if 'Generator' in devices.keys():
generators = devices["Generator"]
for jentry in generators:
gen = Generator(name=str(jentry['name']),
idtag=str(jentry['id']),
active_power=float(jentry['p']),
power_factor=float(jentry['pf']),
voltage_module=float(jentry['vset']),
is_controlled=bool(jentry['is_controlled']),
Qmin=float(jentry['qmin']),
Qmax=float(jentry['qmax']),
Snom=float(jentry['snom']),
active=bool(jentry['active']),
p_min=float(jentry['pmin']),
p_max=float(jentry['pmax']),
op_cost=float(jentry['cost']),
)
gen.bus = bus_dict[jentry['bus']]
circuit.add_generator(gen.bus, gen)
if 'Battery' in devices.keys():
batteries = devices["Battery"]
for jentry in batteries:
gen = Battery(name=str(jentry['name']),
idtag=str(jentry['id']),
active_power=float(jentry['p']),
power_factor=float(jentry['pf']),
voltage_module=float(jentry['vset']),
is_controlled=bool(jentry['is_controlled']),
Qmin=float(jentry['qmin']),
Qmax=float(jentry['qmax']),
Snom=float(jentry['snom']),
active=bool(jentry['active']),
p_min=float(jentry['pmin']),
p_max=float(jentry['pmax']),
op_cost=float(jentry['cost']),
)
gen.bus = bus_dict[jentry['bus']]
circuit.add_battery(gen.bus, gen)
if 'Load' in devices.keys():
loads = devices["Load"]
for jentry in loads:
elm = Load(name=str(jentry['name']),
idtag=str(jentry['id']),
P=float(jentry['p']),
Q=float(jentry['q']),
active=bool(jentry['active']))
elm.bus = bus_dict[jentry['bus']]
circuit.add_load(elm.bus, elm)
if "Shunt" in devices.keys():
shunts = devices["Shunt"]
for jentry in shunts:
elm = Shunt(name=str(jentry['name']),
idtag=str(jentry['id']),
G=float(jentry['g']),
B=float(jentry['b']),
active=bool(jentry['active']))
elm.bus = bus_dict[jentry['bus']]
circuit.add_shunt(elm.bus, elm)
if "Line" in devices.keys():
lines = devices["Line"]
for entry in lines:
elm = Line(bus_from=bus_dict[entry['bus_from']],
bus_to=bus_dict[entry['bus_to']],
name=str(entry['name']),
idtag=str(entry['id']),
r=float(entry['r']),
x=float(entry['x']),
b=float(entry['b']),
rate=float(entry['rate']),
active=entry['active'],
length=float(entry['length']),
)
circuit.add_line(elm)
if "Transformer" in devices.keys() or "Transformer2w" in devices.keys():
if "Transformer" in devices.keys():
transformers = devices["Transformer"]
elif "Transformer2w" in devices.keys():
transformers = devices["Transformer2w"]
else:
raise Exception('Transformer key not found')
for entry in transformers:
elm = Transformer2W(bus_from=bus_dict[entry['bus_from']],
bus_to=bus_dict[entry['bus_to']],
name=str(entry['name']),
idtag=str(entry['id']),
r=float(entry['r']),
x=float(entry['x']),
g=float(entry['g']),
b=float(entry['b']),
rate=float(entry['rate']),
active=bool(entry['active']),
tap=float(entry['tap_module']),
shift_angle=float(entry['tap_angle']),
)
circuit.add_transformer2w(elm)
if "VSC" in devices.keys():
vsc = devices["VSC"]
# TODO: call correct_buses_connection()
if "HVDC Line" in devices.keys():
hvdc = devices["HVDC Line"]
# fill x, y
circuit.fill_xy_from_lat_lon()
return circuit
else:
logger.add('The Json structure does not have a Circuit inside the devices!')
return MultiCircuit()
def parse_json(file_name) -> MultiCircuit:
"""
Parse JSON file into Circuit
:param file_name:
:return: GridCal MultiCircuit
"""
data = json.load(open(file_name))
return parse_json_data(data)
def save_json_file(file_path, circuit: MultiCircuit, simulation_drivers=list()):
"""
Save JSON file
:param file_path: file path
:param circuit: GridCal MultiCircuit element
:param simulation_drivers: List of Simulation Drivers
"""
elements = dict()
element_profiles = dict()
units_dict = dict()
logger = Logger()
def add_to_dict(d, d2, key):
if key in d.keys():
d[key].append(d2)
else:
d[key] = [d2]
def add_to_dict2(d, d2, key):
if key not in d.keys():
d[key] = d2
# add the circuit
elements[DeviceType.CircuitDevice.value] = circuit.get_properties_dict()
units_dict[DeviceType.CircuitDevice.value] = circuit.get_units_dict()
element_profiles[DeviceType.CircuitDevice.value] = circuit.get_profiles_dict()
# add the areas
for cls in [circuit.substations, circuit.zones, circuit.areas, circuit.countries]:
for elm in cls:
# pack the bus data into a dictionary
add_to_dict(d=elements, d2=elm.get_properties_dict(), key=elm.device_type.value)
add_to_dict(d=element_profiles, d2=elm.get_profiles_dict(), key=elm.device_type.value)
add_to_dict2(d=units_dict, d2=elm.get_units_dict(), key=elm.device_type.value)
# add the buses
for elm in circuit.buses:
# pack the bus data into a dictionary
add_to_dict(d=elements, d2=elm.get_properties_dict(), key=elm.device_type.value)
add_to_dict(d=element_profiles, d2=elm.get_profiles_dict(), key=elm.device_type.value)
add_to_dict2(d=units_dict, d2=elm.get_units_dict(), key=elm.device_type.value)
# pack all the elements within the bus
devices = elm.loads + elm.controlled_generators + elm.static_generators + elm.batteries + elm.shunts
for device in devices:
add_to_dict(d=elements, d2=device.get_properties_dict(), key=device.device_type.value)
add_to_dict(d=element_profiles, d2=device.get_profiles_dict(), key=device.device_type.value)
add_to_dict2(d=units_dict, d2=device.get_units_dict(), key=device.device_type.value)
# branches
for branch_list in circuit.get_branch_lists():
for elm in branch_list:
# pack the branch data into a dictionary
add_to_dict(d=elements, d2=elm.get_properties_dict(), key=elm.device_type.value)
add_to_dict(d=element_profiles, d2=elm.get_profiles_dict(), key=elm.device_type.value)
add_to_dict2(d=units_dict, d2=elm.get_units_dict(), key=elm.device_type.value)
# results
results = dict()
for driver in simulation_drivers:
if driver is not None:
if driver.name == 'Power Flow':
bus_data = dict()
for i, elm in enumerate(circuit.buses):
bus_data[elm.idtag] = {'vm': np.abs(driver.results.voltage[i]),
'va': np.angle(driver.results.voltage[i])}
branch_data = dict()
for i, elm in enumerate(circuit.get_branches_wo_hvdc()):
branch_data[elm.idtag] = {'p': driver.results.Sf[i].real,
'q': driver.results.Sf[i].imag,
'losses': driver.results.losses[i].real}
for i, elm in enumerate(circuit.hvdc_lines):
branch_data[elm.idtag] = {'p': driver.results.hvdc_Pf[i].real,
'q': 0,
'losses': driver.results.hvdc_losses[i].real}
results["power_flow"] = {'bus': bus_data,
'branch': branch_data}
elif driver.name == 'Time Series':
bus_data = dict()
for i, elm in enumerate(circuit.buses):
bus_data[elm.idtag] = {'vm': np.abs(driver.results.voltage[:, i]).tolist(),
'va': np.angle(driver.results.voltage[:, i]).tolist()}
branch_data = dict()
for i, elm in enumerate(circuit.get_branches_wo_hvdc()):
branch_data[elm.idtag] = {'p': driver.results.Sf[:, i].real.tolist(),
'q': driver.results.Sf[:, i].imag.tolist(),
'losses': driver.results.losses[:, i].real.tolist()}
for i, elm in enumerate(circuit.hvdc_lines):
branch_data[elm.idtag] = {'p': driver.results.hvdc_Pf[:, i].real,
'q': 0,
'losses': driver.results.hvdc_losses[:, i].real}
results["time_series"] = {'bus': bus_data,
'branch': branch_data}
data = {'version': '3',
'review': '1',
'software': 'GridCal',
'units': units_dict,
'devices': elements,
'profiles': element_profiles,
'results': results}
data_str = json.dumps(data, indent=True)
# Save json to a text file file
text_file = open(file_path, "w")
text_file.write(data_str)
text_file.close()
return logger
| 40.745434 | 108 | 0.443084 | 3,406 | 35,693 | 4.532883 | 0.087493 | 0.048449 | 0.026945 | 0.018654 | 0.778548 | 0.751085 | 0.726861 | 0.713 | 0.706911 | 0.696936 | 0 | 0.004411 | 0.441123 | 35,693 | 875 | 109 | 40.792 | 0.769551 | 0.0541 | 0 | 0.728376 | 0 | 0 | 0.067981 | 0.00137 | 0 | 0 | 0 | 0.002286 | 0 | 1 | 0.010622 | false | 0 | 0.00607 | 0 | 0.027314 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
ce4b5c5da905aa0c3c8b6617f8229dc3b6cf322b | 210 | py | Python | animals/vet.py | przemekkot/object_forge | 84d4d364ed0dbbb97878df1c22ff9aec4564c8f4 | [
"MIT"
] | null | null | null | animals/vet.py | przemekkot/object_forge | 84d4d364ed0dbbb97878df1c22ff9aec4564c8f4 | [
"MIT"
] | null | null | null | animals/vet.py | przemekkot/object_forge | 84d4d364ed0dbbb97878df1c22ff9aec4564c8f4 | [
"MIT"
] | null | null | null | # encoding: utf-8
class Vet(object):
def __init__(self, name, age):
self.name = name
self.age = age
def speak(self):
return "Hi, I'm {}. I'm {} old".format(self.name, self.age) | 23.333333 | 67 | 0.561905 | 32 | 210 | 3.5625 | 0.5625 | 0.210526 | 0.192982 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006579 | 0.27619 | 210 | 9 | 67 | 23.333333 | 0.743421 | 0.071429 | 0 | 0 | 0 | 0 | 0.113402 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.166667 | 0.666667 | 0 | 0 | 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 | 1 | 1 | 0 | 0 | 6 |
ce556577ebf2322a2d63faabb7b0a9d169875f19 | 8,393 | py | Python | gnuradio-3.7.13.4/gr-filter/python/filter/gui/idealbanditems.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | 1 | 2021-03-09T07:32:37.000Z | 2021-03-09T07:32:37.000Z | gnuradio-3.7.13.4/gr-filter/python/filter/gui/idealbanditems.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | null | null | null | gnuradio-3.7.13.4/gr-filter/python/filter/gui/idealbanditems.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2012 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
#
from PyQt4 import QtGui, QtCore, Qt
import PyQt4.Qwt5 as Qwt
import scipy
class IdealBandItems():
def __init__(self):
self.idealbandhcurves= [ Qwt.QwtPlotCurve() for i in range(4) ]
self.idealbandvcurves= [ Qwt.QwtPlotCurve() for i in range(4) ]
self.params=""
def setLinetype(self):
for c in self.idealbandhcurves:
c.setRenderHint(Qwt.QwtPlotItem.RenderAntialiased)
c.setPen(Qt.QPen(Qt.Qt.red, 2, Qt.Qt.DotLine))
for c in self.idealbandvcurves:
c.setRenderHint(Qwt.QwtPlotItem.RenderAntialiased)
c.setPen(Qt.QPen(Qt.Qt.red, 2, Qt.Qt.DotLine))
def plotIdealCurves(self, ftype, params, plot):
self.params=params
try:
if (ftype == "Low Pass"):
self.detach_unwantedcurves(plot)
x=[0, self.params["pbend"]]
y=[20.0*scipy.log10(self.params["gain"])]*2
self.idealbandhcurves[0].setData(x, y)
x=[self.params["pbend"]]*2
y=[20.0*scipy.log10(self.params["gain"]),
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[0].setData(x, y)
x=[self.params["sbstart"], self.params["fs"]/2.0]
y=[-self.params["atten"]]*2
self.idealbandhcurves[1].setData(x, y)
x=[self.params["sbstart"]]*2
y=[-self.params["atten"],
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[1].setData(x, y)
elif ftype == "High Pass":
self.detach_unwantedcurves(plot)
x=[self.params["pbstart"],self.params["fs"]/2.0]
y=[20.0*scipy.log10(self.params["gain"])]*2
self.idealbandhcurves[0].setData(x, y)
x=[self.params["pbstart"]]*2
y=[20.0*scipy.log10(self.params["gain"]),
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[0].setData(x, y)
x=[0,self.params["sbend"]]
y=[-self.params["atten"]]*2
self.idealbandhcurves[1].setData(x, y)
x=[self.params["sbend"]]*2
y=[-self.params["atten"],
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[1].setData(x, y)
elif ftype == "Band Notch":
x=[self.params["sbstart"],self.params["sbend"]]
y=[-self.params["atten"]]*2
self.idealbandhcurves[0].setData(x, y)
x=[self.params["sbstart"]]*2
y=[-self.params["atten"],
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[0].setData(x, y)
x=[self.params["sbend"]]*2
y=[-self.params["atten"],
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[1].setData(x, y)
x=[0,self.params["sbstart"]-self.params["tb"]]
y=[20.0*scipy.log10(self.params["gain"])]*2
self.idealbandhcurves[1].setData(x, y)
x=[self.params["sbstart"]-self.params["tb"]]*2
y=[20.0*scipy.log10(self.params["gain"]),
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[2].setData(x, y)
x=[self.params["sbend"]+self.params["tb"],self.params["fs"]/2.0]
y=[20.0*scipy.log10(self.params["gain"])]*2
self.idealbandhcurves[2].setData(x, y)
x=[self.params["sbend"]+self.params["tb"]]*2
y=[20.0*scipy.log10(self.params["gain"]),
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[3].setData(x, y)
elif ftype == "Band Pass":
x=[self.params["pbstart"],self.params["pbend"]]
y=[20.0*scipy.log10(self.params["gain"])]*2
self.idealbandhcurves[0].setData(x, y)
x=[self.params["pbstart"]]*2
y=[20.0*scipy.log10(self.params["gain"]),
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[0].setData(x, y)
x=[self.params["pbend"]]*2
y=[20.0*scipy.log10(self.params["gain"]),
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[1].setData(x, y)
x=[0,self.params["pbstart"]-self.params["tb"]]
y=[-self.params["atten"]]*2
self.idealbandhcurves[1].setData(x, y)
x=[self.params["pbstart"]-self.params["tb"]]*2
y=[-self.params["atten"],
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[2].setData(x, y)
x=[self.params["pbend"]+self.params["tb"],self.params["fs"]/2.0]
y=[-self.params["atten"]]*2
self.idealbandhcurves[2].setData(x, y)
x=[self.params["pbend"]+self.params["tb"]]*2
y=[-self.params["atten"],
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[3].setData(x, y)
elif ftype == "Complex Band Pass":
x=[self.params["pbstart"],self.params["pbend"]]
y=[20.0*scipy.log10(self.params["gain"])]*2
self.idealbandhcurves[0].setData(x, y)
x=[self.params["pbstart"]]*2
y=[20.0*scipy.log10(self.params["gain"]),
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[0].setData(x, y)
x=[self.params["pbend"]]*2
y=[20.0*scipy.log10(self.params["gain"]),
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[1].setData(x, y)
x=[0,self.params["pbstart"]-self.params["tb"]]
y=[-self.params["atten"]]*2
self.idealbandhcurves[1].setData(x, y)
x=[self.params["pbstart"]-self.params["tb"]]*2
y=[-self.params["atten"],
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[2].setData(x, y)
x=[self.params["pbend"]+self.params["tb"],self.params["fs"]/2.0]
y=[-self.params["atten"]]*2
self.idealbandhcurves[2].setData(x, y)
x=[self.params["pbend"]+self.params["tb"]]*2
y=[-self.params["atten"],
plot.axisScaleDiv(Qwt.QwtPlot.yLeft).lowerBound()]
self.idealbandvcurves[3].setData(x, y)
else:
self.detach_allidealcurves(plot)
except KeyError:
print "All parameters not set for ideal band diagram"
self.detach_allidealcurves(plot)
def detach_allidealcurves(self, plot):
for c in self.idealbandhcurves:
c.detach()
for c in self.idealbandvcurves:
c.detach()
plot.replot()
def detach_unwantedcurves(self, plot):
for i in range(2,4):
self.idealbandvcurves[i].detach()
self.idealbandhcurves[i].detach()
plot.replot()
def attach_allidealcurves(self, plot):
for c in self.idealbandhcurves:
c.attach(plot)
for c in self.idealbandvcurves:
c.attach(plot)
plot.replot()
| 40.742718 | 80 | 0.549863 | 996 | 8,393 | 4.62249 | 0.15261 | 0.173762 | 0.05669 | 0.052129 | 0.775847 | 0.769331 | 0.707211 | 0.706994 | 0.693527 | 0.670721 | 0 | 0.028479 | 0.297152 | 8,393 | 205 | 81 | 40.941463 | 0.751992 | 0.088288 | 0 | 0.766667 | 0 | 0 | 0.059617 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.026667 | 0.02 | null | null | 0.006667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
ced32abd81129bcb5d84f083ec3b09692004f175 | 23 | py | Python | great_expectations/rule_based_profiler/rule/__init__.py | victorcouste/great_expectations | 9ee46d83feb87e13c769e2ae35b899b3f18d73a4 | [
"Apache-2.0"
] | 6,451 | 2017-09-11T16:32:53.000Z | 2022-03-31T23:27:49.000Z | great_expectations/rule_based_profiler/rule/__init__.py | victorcouste/great_expectations | 9ee46d83feb87e13c769e2ae35b899b3f18d73a4 | [
"Apache-2.0"
] | 3,892 | 2017-09-08T18:57:50.000Z | 2022-03-31T23:15:20.000Z | great_expectations/rule_based_profiler/rule/__init__.py | victorcouste/great_expectations | 9ee46d83feb87e13c769e2ae35b899b3f18d73a4 | [
"Apache-2.0"
] | 1,023 | 2017-09-08T15:22:05.000Z | 2022-03-31T21:17:08.000Z | from .rule import Rule
| 11.5 | 22 | 0.782609 | 4 | 23 | 4.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 23 | 1 | 23 | 23 | 0.947368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0c73b3bb5699cf1eb51bf5aac8a151b05ff61318 | 32,245 | py | Python | test/unit/jobs/dynamic_tool_destination/ymltests.py | rikeshi/galaxy | c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a | [
"CC-BY-3.0"
] | 1,085 | 2015-02-18T16:14:38.000Z | 2022-03-30T23:52:07.000Z | test/unit/jobs/dynamic_tool_destination/ymltests.py | rikeshi/galaxy | c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a | [
"CC-BY-3.0"
] | 11,253 | 2015-02-18T17:47:32.000Z | 2022-03-31T21:47:03.000Z | test/unit/jobs/dynamic_tool_destination/ymltests.py | rikeshi/galaxy | c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a | [
"CC-BY-3.0"
] | 1,000 | 2015-02-18T16:18:10.000Z | 2022-03-29T08:22:56.000Z | # =============================================Valid XML===================================================
# One job, one rule
vYMLTest1 = """
tools:
spades:
rules:
- rule_type: file_size
nice_value: 0
lower_bound: 0
upper_bound: 100000000
destination: things
default_destination: cluster_default
verbose: True
"""
vdictTest1_yml = {
"tools": {
"spades": {
"rules": [
{
"rule_type": "file_size",
"nice_value": 0,
"lower_bound": 0,
"upper_bound": 100000000,
"destination": "things"
},
]
}
},
'default_destination': "cluster_default"
}
# Multiple jobs, multiple rules
vYMLTest2 = '''
tools:
spades:
default_destination: cluster_default
smalt:
rules:
- rule_type: file_size
nice_value: 0
lower_bound: 0
upper_bound: 100000000
fail_message: Too few reads for smalt to work
destination: fail
- rule_type: file_size
nice_value: 0
lower_bound: 100000000
upper_bound: Infinity
fail_message: Too few reads for smalt to work
destination: fail
default_destination: cluster_low
verbose: True
'''
vdictTest2_yml = {
"tools": {
"spades": {
"default_destination": "cluster_default"
},
"smalt": {
"rules": [
{
"rule_type": "file_size",
'nice_value': 0,
"lower_bound": 0,
"upper_bound": 100000000,
"fail_message": "Too few reads for smalt to work",
"destination": "fail"
}, {
"rule_type": "file_size",
'nice_value': 0,
"lower_bound": 100000000,
"upper_bound": "Infinity",
"fail_message": "Too few reads for smalt to work",
"destination": "fail"
}
]
}
},
'default_destination': "cluster_low"
}
# Rule with extra attribute
vYMLTest3 = '''
tools:
spades:
rules:
- rule_type: file_size
nice_value: 0
hax: 1337
lower_bound: 0
upper_bound: 100000000
fail_message: Whats hax
destination: fail
default_destination: cluster_default
verbose: True
'''
vdictTest3_yml = {
"tools": {
"spades": {
"rules": [
{
"rule_type": "file_size",
'nice_value': 0,
"hax": 1337,
"lower_bound": 0,
"upper_bound": 100000000,
"fail_message": "Whats hax",
"destination": "fail"
}
]
}
},
'default_destination': "cluster_default"
}
# Arguments type
vYMLTest4 = """
tools:
spades:
rules:
- rule_type: arguments
nice_value: 0
arguments:
careful: true
fail_message: Failure
destination: fail
default_destination: cluster_default
verbose: True
"""
vdictTest4_yml = {
"tools": {
"spades": {
"rules": [
{
"rule_type": "arguments",
'nice_value': 0,
"arguments": {
"careful": True,
},
"fail_message": "Failure",
"destination": "fail"
}
]
}
},
'default_destination': "cluster_default"
}
# Records type
vYMLTest5 = '''
tools:
spades:
rules:
- rule_type: records
nice_value: 0
lower_bound: 0
upper_bound: 100000000
destination: cluster_low_4
default_destination: cluster_default
verbose: True
'''
vdictTest5_yml = {
"tools": {
"spades": {
"rules": [
{
"rule_type": "records",
'nice_value': 0,
"lower_bound": 0,
"upper_bound": 100000000,
"destination": "cluster_low_4"
}
]
}
},
'default_destination': "cluster_default"
}
# Num_input_datasets type
vYMLTest6 = '''
tools:
spades:
default_destination: cluster_default
smalt:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: 200
destination: cluster_low_4
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 200
upper_bound: Infinity
destination: cluster_high_32
default_destination: cluster_low
verbose: True
'''
vdictTest6_yml = {
"tools": {
"spades": {
"default_destination": "cluster_default"
},
"smalt": {
"rules": [
{
"rule_type": "num_input_datasets",
'nice_value': 0,
"lower_bound": 0,
"upper_bound": 200,
"destination": "cluster_low_4"
}, {
"rule_type": "num_input_datasets",
'nice_value': 0,
"lower_bound": 200,
"upper_bound": "Infinity",
"destination": "cluster_high_32"
}
]
}
},
'default_destination': "cluster_low"
}
# One job, one rule, and priority destinations
vYMLTest7 = """
tools:
spades:
rules:
- rule_type: file_size
nice_value: 0
lower_bound: 0
upper_bound: 100000000
destination:
priority:
med: things
default_destination:
priority:
med: cluster_default
users:
user@example.com:
priority: med
verbose: True
"""
vdictTest7_yml = {
"tools": {
"spades": {
"rules": [
{
"rule_type": "file_size",
"nice_value": 0,
"lower_bound": 0,
"upper_bound": 100000000,
"destination": {
'priority': {
'med': 'things'
}
}
},
]
}
},
'default_destination': {
'priority': {
'med': 'cluster_default'
}
},
'default_priority': 'med',
'users': {
'user@example.com': {
'priority': 'med'
}
}
}
# No valid priorities but the tool doesn't require one
vYMLTest160 = '''
default_destination: cluster_low
default_priority: med
tools:
blah:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination: cluster_default
default_destination: cluster_high
verbose: True
'''
vdictTest160_yml = {
"tools": {
"blah": {
"rules": [
{
"rule_type": "num_input_datasets",
"nice_value": 0,
"lower_bound": 0,
"upper_bound": "Infinity",
"destination": "cluster_default"
}
],
"default_destination": "cluster_high"
}
},
'default_destination': 'cluster_low',
}
# No valid priorities but the tool doesn't require one
vYMLTest164 = '''
default_destination:
priority:
good: Destination1_med
fast: Destination1_high
default_priority: good
tools:
blah:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination:
priority:
fast: lame_cluster
default_destination:
priority:
good: cluster_med_4
fast: cluster_high
verbose: True
'''
vdictTest164_yml = {
"tools": {
"blah": {
"rules": [
{
"rule_type": "num_input_datasets",
"nice_value": 0,
"lower_bound": 0,
"upper_bound": "Infinity",
"destination": {
"priority": {
"fast": "lame_cluster"
}
}
}
],
"default_destination": {
"priority": {
"good": "cluster_med_4",
"fast": "cluster_high"
}
}
}
},
'default_destination': {
"priority": {
"good": "Destination1_med",
"fast": "Destination1_high"
}
},
'default_priority': 'good'
}
# =====================================================Invalid XML tests==========================================================
# Empty file
ivYMLTest2 = ""
# Job without name
ivYMLTest3 = '''
tools:
rules:
- rule_type: file_size
nice_value: 0
upper_bound: 100
lower_bound: 0
destination: fail
default_destination: cluster_default
verbose: True
'''
iv3dict = {
'default_destination': "cluster_default"
}
# Rule missing type
ivYMLTest4 = '''
tools:
spades:
rules:
- nice_value: 0
lower_bound: 0
upper_bound: 0
fail_message: No type...
destination: fail
default_destination: cluster_default
verbose: True
'''
# Rule missing attribute
ivYMLTest51 = '''
tools:
spades:
rules:
- rule_type: file_size
nice_value: 0
upper_bound: 0
fail_message: No type...
destination: fail
default_destination: cluster_default
verbose: True
'''
# Rule missing attribute
ivYMLTest52 = '''
tools:
spades:
rules:
- rule_type: file_size
nice_value: 0
lower_bound: 0
fail_message: No type...
destination: fail
default_destination: cluster_default
verbose: True
'''
# Rule missing attribute
ivYMLTest53 = '''
tools:
spades:
rules:
- rule_type: file_size
nice_value: 0
lower_bound: 0
upper_bound: 0
fail_message: No type...
default_destination: cluster_default
verbose: True
'''
ivDict53 = {
'default_destination': 'cluster_default',
'tools': {
'spades': {
'rules': [
{
'upper_bound': 0,
'rule_type':
'file_size',
'fail_message':
'No type...',
'nice_value': 0,
'lower_bound': 0,
'destination': 'fail'
}
]
}
}
}
# Rule unknown type
ivYMLTest6 = '''
tools:
spades:
rules:
- rule_type: iencs
nice_value: 0
lower_bound: 0
upper_bound: 0
fail_message: No type...
destination: fail
default_destination: cluster_default
verbose: True
'''
# No default destination
ivYMLTest7 = '''
default_destination:
verbose: True
'''
ivDict = {
'default_destination': "cluster_default"
}
# Invalid category
ivYMLTest8 = '''
ice_cream:
verbose: True
'''
# Tool rule fail no fail_message and apparently no nice_value
ivYMLTest91 = '''
tools:
spades:
rules:
- rule_type: file_size
lower_bound: 0
upper_bound: 0
destination: fail
default_destination: cluster_default
verbose: True
'''
iv91dict = {
'tools': {
'spades': {
'rules': [
{
'lower_bound': 0,
'nice_value': 0,
'rule_type': 'file_size',
'upper_bound': 0,
'destination': 'fail',
'fail_message': "Invalid parameters for rule 1 in 'spades'."
}
]
}
},
'default_destination': "cluster_default"
}
# Tool default fail no destination
ivYMLTest11 = '''
tools:
spades:
rules:
- rule_type: file_size
nice_value: -21
lower_bound: 1 KB
upper_bound: Infinity
destination: cluster_low
default_destination: cluster_low
default_destination: cluster_default
verbose: True
'''
# Arguments fail no fail_message
ivYMLTest12 = """
tools:
spades:
rules:
- rule_type: arguments
nice_value: 0
arguments:
careful: true
destination: fail
default_destination: cluster_default
verbose: True
"""
iv12dict = {
"tools": {
"spades": {
"rules": [
{
"rule_type": "arguments",
'nice_value': 0,
"arguments": {
"careful": True,
},
"destination": "fail",
"fail_message": "Invalid parameters for rule 1 in 'spades'."
}
]
}
},
'default_destination': "cluster_default"
}
# Arguments fail no arguments
ivYMLTest131 = """
tools:
spades:
rules:
- rule_type: arguments
nice_value: 0
fail_message: Something went wrong
destination: fail
default_destination: cluster_default
verbose: True
"""
iv131dict = {
'default_destination': "cluster_default"
}
# Arguments fail no destination
ivYMLTest132 = """
tools:
spades:
rules:
- rule_type: arguments
nice_value: 0
fail_message: Something went wrong
arguments:
careful: true
default_destination: cluster_default
verbose: True
"""
iv132dict = {
'default_destination': 'cluster_default',
'tools': {
'spades': {
'rules': [
{
'arguments': {
'careful': True
},
'rule_type': 'arguments',
'destination': 'fail',
'fail_message': 'Something went wrong',
'nice_value': 0
}
]
}
}
}
# Multiple rules in 1 job, first one failing
ivYMLTest133 = '''
tools:
smalt:
rules:
- rule_type: file_size
nice_value: 0
lower_bound: 0
upper_bound: 100000000
destination: fail
- rule_type: file_size
nice_value: 0
lower_bound: 100000000
upper_bound: Infinity
destination: cluster_low_4
default_destination: cluster_low
verbose: True
'''
iv133dict = {
"tools": {
"smalt": {
"rules": [
{
"rule_type": "file_size",
'nice_value': 0,
"lower_bound": 0,
"upper_bound": 100000000,
"fail_message": "Invalid parameters for rule 1 in 'smalt'.",
"destination": "fail"
}, {
"rule_type": "file_size",
'nice_value': 0,
"lower_bound": 100000000,
"upper_bound": "Infinity",
"destination": "cluster_low_4"
}
]
}
},
'default_destination': "cluster_low"
}
# No destination and no fail_message
ivYMLTest134 = """
tools:
spades:
rules:
- rule_type: file_size
upper_bound: 10000
lower_bound: 0
nice_value: 0
default_destination: cluster_default
verbose: True
"""
iv134dict = {
'default_destination': 'cluster_default',
'tools': {
'spades': {
'rules': [
{
'rule_type': 'file_size',
'upper_bound': 10000,
'lower_bound': 0,
'nice_value': 0
}
]
}
}
}
# Reversed upper and lower bounds
ivYMLTest135 = """
tools:
spades:
rules:
- rule_type: file_size
upper_bound: 100
lower_bound: 200
nice_value: 0
destination: cluster_low_4
default_destination: cluster_default
verbose: True
"""
iv135dict = {
'default_destination': 'cluster_default',
'tools': {
'spades': {
'rules': [
{
'rule_type': 'file_size',
'upper_bound': 200,
'lower_bound': 100,
'nice_value': 0,
'destination': 'cluster_low_4'
}
]
}
}
}
# Tool has rules category but no rules, and no tool-specific default destination
ivYMLTest136 = """
tools:
spades:
rules:
default_destination: cluster_default
verbose: True
"""
iv136dict = {
'default_destination': 'cluster_default'
}
# Tool is blank; no tool-specific default destination, no rules category
ivYMLTest137 = """
tools:
spades:
default_destination: cluster_default
verbose: True
"""
iv137dict = {
'default_destination': 'cluster_default'
}
# Tool specifies authorized users with an invalid entry
ivYMLTest138 = """
tools:
spades:
rules:
- rule_type: file_size
upper_bound: 200
lower_bound: 100
nice_value: 0
destination: cluster_low_4
users:
- validuser@email.com
- invaliduser.email@com
- 123
default_destination: cluster_default
verbose: True
"""
iv138dict = {
'default_destination': 'cluster_default',
'tools': {
'spades': {
'rules': [
{
'rule_type': 'file_size',
'upper_bound': 200,
'lower_bound': 100,
'nice_value': 0,
'destination': 'cluster_low_4',
'users': [
'validuser@email.com'
]
}
]
}
}
}
# Tool does not specify list under users
ivYMLTest139 = """
tools:
spades:
rules:
- rule_type: file_size
upper_bound: 600
lower_bound: 200
nice_value: 0
destination: cluster_high
- rule_type: file_size
upper_bound: 199
lower_bound: 100
nice_value: 0
destination: cluster_low_4
users:
default_destination: cluster_default
verbose: True
"""
iv139dict = {
'default_destination': 'cluster_default',
'tools': {
'spades': {
'rules': [
{
'rule_type': 'file_size',
'upper_bound': 600,
'lower_bound': 200,
'nice_value': 0,
'destination': 'cluster_high'
}
]
}
}
}
# Tool supplies only invalid users
ivYMLTest140 = """
tools:
spades:
rules:
- rule_type: file_size
upper_bound: 600
lower_bound: 200
nice_value: 0
destination: cluster_high
- rule_type: file_size
upper_bound: 199
lower_bound: 100
nice_value: 0
destination: cluster_low_4
users:
- invalid.user1@com
- invalid.user2@com
default_destination: cluster_default
verbose: True
"""
iv140dict = {
'default_destination': 'cluster_default',
'tools': {
'spades': {
'rules': [
{
'rule_type': 'file_size',
'upper_bound': 600,
'lower_bound': 200,
'nice_value': 0,
'destination': 'cluster_high'
}
]
}
}
}
# Tool supplies users list, but empty
ivYMLTest141 = """
tools:
spades:
rules:
- rule_type: file_size
upper_bound: 600
lower_bound: 200
nice_value: 0
destination: cluster_high
- rule_type: file_size
upper_bound: 199
lower_bound: 100
nice_value: 0
destination: cluster_low_4
users:
-
-
default_destination: cluster_default
verbose: True
"""
iv141dict = {
'default_destination': 'cluster_default',
'tools': {
'spades': {
'rules': [
{
'rule_type': 'file_size',
'upper_bound': 600,
'lower_bound': 200,
'nice_value': 0,
'destination': 'cluster_high'
}
]
}
}
}
# Bad bounds setup for num_input_datasets
ivYMLTest142 = '''
tools:
smalt:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: Infinity
upper_bound: 200
destination: cluster_low_4
default_destination: cluster_low
verbose: True
'''
iv142dict = {
'default_destination': 'cluster_low',
'tools': {
'smalt': {
'rules': [
{
'rule_type': 'num_input_datasets',
'upper_bound': 200,
'lower_bound': 0,
'nice_value': 0,
'destination': 'cluster_low_4'
}
]
}
}
}
# Even worse bounds setup for num_input_datasets
ivYMLTest143 = '''
tools:
smalt:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: Infinity
upper_bound: Infinity
destination: cluster_low_4
default_destination: cluster_low
verbose: True
'''
iv143dict = {
'default_destination': 'cluster_low',
'tools': {
'smalt': {
'rules': [
{
'rule_type': 'num_input_datasets',
'upper_bound': 'Infinity',
'lower_bound': 0,
'nice_value': 0,
'destination': 'cluster_low_4'
}
]
}
}
}
# No med priority destination in default destination
ivYMLTest144 = '''
default_destination:
priority:
low: cluster_low
verbose: True
'''
# invalid priority destination in default destination
ivYMLTest145 = '''
default_destination:
priority:
med: cluster_low
mine: cluster_low
verbose: True
'''
# No med priority destination in tool config
ivYMLTest146 = '''
tools:
smalt:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination:
priority:
low: cluster_low_4
default_destination:
priority:
med: cluster_low
verbose: True
'''
# Invalid priority destination in tool config
ivYMLTest147 = '''
tools:
smalt:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination:
priority:
med: cluster_med_4
mine: cluster_low_4
default_destination:
priority:
med: cluster_low
verbose: True
'''
# invalid priority in users section
ivYMLTest148 = '''
default_destination:
priority:
med: cluster_low
users:
user@email.com:
priority: mine
verbose: True
'''
# not all priorities in tool destinations
ivYMLTest149 = '''
default_destination:
priority:
med: cluster_low
lowish: cluster_low
high: cluster_default
higher: cluster_high
tools:
yuck:
default_destination:
priority:
med: cluster_default
high: cluster_high
verbose: True
'''
# rule destination not in job config
ivYMLTest150 = '''
default_destination:
priority:
med: cluster_low
tools:
blegh:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination:
priority:
med: fake_destination
verbose: True
'''
# tool default destination not in job config and no rules
ivYMLTest151 = '''
default_destination:
priority:
med: cluster_low
tools:
blah:
default_destination:
priority:
med: not_true_destination
verbose: True
'''
# default destination not in job config
ivYMLTest152 = '''
default_destination:
priority:
med: no_such_dest
verbose: True
'''
# rule destination not in job config (without priority dict)
ivYMLTest153 = '''
default_destination:
priority:
med: cluster_low
tools:
blegh:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination: fake_destination
verbose: True
'''
# tool default destination not in job config (without priority dict) and no rules
ivYMLTest154 = '''
default_destination:
priority:
med: cluster_low
tools:
blah:
default_destination: not_true_destination
verbose: True
'''
# default destination not in job config (without priority dict)
ivYMLTest155 = '''
default_destination: no_such_dest
verbose: True
'''
# tool rule destination priority doesn't exist
ivYMLTest156 = '''
default_destination:
priority:
med: cluster_default
tools:
aTool:
default_destination:
priority:
med: cluster_low
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination:
priority:
notAPriority: cluster_default
verbose: True
'''
# tool default destination priority doesn't exist
ivYMLTest157 = '''
default_destination:
priority:
med: cluster_default
tools:
aTool:
default_destination:
priority:
notAPriority: cluster_low
med: cluster_low
verbose: True
'''
# tool default destination not in job config
ivYMLTest158 = '''
default_destination:
priority:
med: cluster_low
tools:
blah:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination:
priority:
med: cluster_default
default_destination:
priority:
med: not_true_destination
verbose: True
'''
# tool default destination not in job config (without priority dict)
ivYMLTest159 = '''
default_destination: cluster_low
tools:
blah:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination: cluster_default
default_destination: not_true_destination
verbose: True
'''
# No valid priorities and the tool rule requires them
ivYMLTest161 = '''
default_destination: cluster_low
tools:
blah:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination:
priority:
med: cluster_default
default_destination: cluster_high
verbose: True
'''
# No valid priorities and the tool default_destination requires them
ivYMLTest162 = '''
default_destination: cluster_low
tools:
blah:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination: cluster_default
default_destination:
priority:
med: cluster_default
verbose: True
'''
# Nothing in the priority dict
ivYMLTest163 = '''
default_destination:
priority:
verbose: True
'''
# Typo in str default destination
ivYMLTest164 = '''
default_destination: cluster-kow
verbose: True
'''
# Typo in dict default destination
ivYMLTest165 = '''
default_destination:
priority:
pr: cluster_kow
default_priority: pr
verbose: True
'''
# Typo in dict tool default destination
ivYMLTest166 = '''
default_destination:
priority:
med: cluster_low
default_priority: med
tools:
blah:
default_destination:
priority:
med: cluster_defaut
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination: DestinationF
verbose: True
'''
# Typo in str tool default destination
ivYMLTest167 = '''
default_destination: cluster_low
default_priority: cluster_low
tools:
blah:
default_destination: Destination_3_med
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination: DestinationF
verbose: True
'''
# Typo in dict tool rule destination
ivYMLTest168 = '''
default_destination:
priority:
med: cluster_default
default_priority: med
tools:
blah:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination:
priority:
med: thig
verbose: True
'''
# Typo in str tool rule destination
ivYMLTest169 = '''
default_destination:
priority:
med: cluster_default
default_priority: med
tools:
blah:
rules:
- rule_type: num_input_datasets
nice_value: 0
lower_bound: 0
upper_bound: Infinity
destination: even_lamerr_cluster
default_destination:
priority:
med: cluster_default
verbose: True
'''
# Typo in str tool rule destination
ivYMLTest170 = '''
default_destination:
priority:
med: destinationf
default_priority: med
verbose: True
'''
# Invalid verbose setting
ivYMLTest171 = '''
default_destination:
priority:
med: DestinationF
default_priority: med
verbose: notavalue
'''
# invalid default destination and valid tool default destination
ivYMLTest172 = '''
default_destination: fake_destination
tools:
blah:
default_destination: cluster_default
verbose: True
'''
# valid default destination and invalid tool default destination
ivYMLTest173 = '''
default_destination: cluster_default
tools:
blah:
default_destination: fake_destination
verbose: True
'''
| 23.588149 | 130 | 0.4971 | 2,724 | 32,245 | 5.622247 | 0.091043 | 0.155142 | 0.04636 | 0.100294 | 0.817303 | 0.774208 | 0.703885 | 0.687039 | 0.646686 | 0.625269 | 0 | 0.033915 | 0.413863 | 32,245 | 1,366 | 131 | 23.605417 | 0.776402 | 0.084137 | 0 | 0.717355 | 0 | 0 | 0.682855 | 0.000713 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0c8c0d157a79781dd4308b3537ad88c0eeaba465 | 44 | py | Python | gamestonk_terminal/discovery/__init__.py | DT021/GamestonkTerminal | 10d231ec2f86a19e69fdb65a2f4d37f33f723f6a | [
"MIT"
] | 3 | 2021-02-28T09:54:47.000Z | 2021-03-11T17:42:35.000Z | gamestonk_terminal/discovery/__init__.py | DT021/GamestonkTerminal | 10d231ec2f86a19e69fdb65a2f4d37f33f723f6a | [
"MIT"
] | 3 | 2022-02-28T03:37:52.000Z | 2022-02-28T03:37:53.000Z | gamestonk_terminal/discovery/__init__.py | DT021/GamestonkTerminal | 10d231ec2f86a19e69fdb65a2f4d37f33f723f6a | [
"MIT"
] | 1 | 2021-06-20T02:42:40.000Z | 2021-06-20T02:42:40.000Z | from . import disc_controller # noqa: F401
| 22 | 43 | 0.75 | 6 | 44 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 0.181818 | 44 | 1 | 44 | 44 | 0.805556 | 0.227273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0cad057c95dc6fefe966c159bf612180150efcc7 | 90 | py | Python | sacrerouge/datasets/multiling/multiling2017/__init__.py | danieldeutsch/decomposed-rouge | 0d723be8e3359f0bdcc9c7940336800895e46dbb | [
"Apache-2.0"
] | 81 | 2020-07-10T15:45:08.000Z | 2022-03-30T12:19:11.000Z | sacrerouge/datasets/multiling/multiling2017/__init__.py | danieldeutsch/decomposed-rouge | 0d723be8e3359f0bdcc9c7940336800895e46dbb | [
"Apache-2.0"
] | 29 | 2020-08-03T21:50:45.000Z | 2022-02-23T14:34:16.000Z | sacrerouge/datasets/multiling/multiling2017/__init__.py | danieldeutsch/decomposed-rouge | 0d723be8e3359f0bdcc9c7940336800895e46dbb | [
"Apache-2.0"
] | 7 | 2020-08-14T09:54:08.000Z | 2022-03-30T12:19:25.000Z | from sacrerouge.datasets.multiling.multiling2017.subcommand import MultiLing2017Subcommand | 90 | 90 | 0.922222 | 8 | 90 | 10.375 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091954 | 0.033333 | 90 | 1 | 90 | 90 | 0.862069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0cb18486e73c38b674300263557a4981cbc9d404 | 1,911 | py | Python | app_statics.py | RegsonDR/ProjectEstimator | 1e65b57ccd01833b219dc7242cb14390967037bf | [
"MIT"
] | null | null | null | app_statics.py | RegsonDR/ProjectEstimator | 1e65b57ccd01833b219dc7242cb14390967037bf | [
"MIT"
] | null | null | null | app_statics.py | RegsonDR/ProjectEstimator | 1e65b57ccd01833b219dc7242cb14390967037bf | [
"MIT"
] | null | null | null | APP_NAME = "Project Estimator"
RECAPTCHA_SECRET = "change me"
SIDEBAR = {
'admin':[
{
"label":"Projects",
"view": "authenticated.workspace_homepage",
"icon": "tachometer-alt",
},{
"label": "Timelines",
"view": "authenticated.timelines",
"icon": "calendar-week",
},{
"label": "My Skills",
"view": "authenticated.my_skills_page",
"icon": "sliders-h",
},
{
"label": "Skills Matrix",
"view": "authenticated.skills_matrix_page",
"icon": "chart-area",
},{
"label": "Users",
"view": "authenticated.users_page",
"icon": "users-cog",
},{
"label": "Settings",
"view": "authenticated.wk_settings",
"icon": "cogs",
}
],
'manager': [
{
"label": "Projects",
"view": "authenticated.workspace_homepage",
"icon": "tachometer-alt",
},{
"label": "Timelines",
"view": "authenticated.timelines",
"icon": "calendar-week",
},{
"label": "My Skills",
"view": "authenticated.my_skills_page",
"icon": "sliders-h",
},
{
"label": "Skills Matrix",
"view": "authenticated.skills_matrix_page",
"icon": "chart-area",
}
],
'developer':[
{
"label": "Projects",
"view": "authenticated.workspace_homepage",
"icon": "tachometer-alt",
},{
"label": "Timelines",
"view": "authenticated.timelines",
"icon": "calendar-week",
},{
"label": "My Skills",
"view": "authenticated.my_skills_page",
"icon": "sliders-h",
}
]
}
| 28.102941 | 55 | 0.436944 | 135 | 1,911 | 6.059259 | 0.274074 | 0.270171 | 0.062347 | 0.110024 | 0.792176 | 0.792176 | 0.792176 | 0.792176 | 0.792176 | 0.792176 | 0 | 0 | 0.395081 | 1,911 | 67 | 56 | 28.522388 | 0.707612 | 0 | 0 | 0.641791 | 0 | 0 | 0.437467 | 0.18943 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0cf89d92e83cf456c657f188e03bb56b599622fd | 22,812 | py | Python | store/adminshop/migrations/0001_initial.py | vallemrv/my_store_test | 2da624fd02c5f1784464f15b751b488f3dd2bae6 | [
"Apache-2.0"
] | null | null | null | store/adminshop/migrations/0001_initial.py | vallemrv/my_store_test | 2da624fd02c5f1784464f15b751b488f3dd2bae6 | [
"Apache-2.0"
] | null | null | null | store/adminshop/migrations/0001_initial.py | vallemrv/my_store_test | 2da624fd02c5f1784464f15b751b488f3dd2bae6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2018-01-10 19:25
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Abonos',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('empleado', models.CharField(max_length=150)),
('empleado_id', models.IntegerField(default=-1)),
('fecha_salida', models.DateTimeField(auto_now_add=True)),
('firma', models.FileField(null=True, upload_to='firmas')),
('forma_pago', models.CharField(choices=[('EF', 'Efectivo'), ('TJ', 'Tarjeta')], default='EF', max_length=2)),
],
options={
'ordering': ['-fecha_salida'],
},
),
migrations.CreateModel(
name='Almacenes',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(blank=True, max_length=50)),
('direccion', models.CharField(max_length=150)),
('descripcion', models.TextField(blank=True)),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Categorias',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(max_length=100)),
('descripcion', models.TextField(blank=True)),
('fecha_creacion', models.DateTimeField(auto_now=True)),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Clientes',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre_completo', models.CharField(max_length=150)),
('email', models.EmailField(blank=True, max_length=100, null=True)),
('password', models.CharField(blank=True, max_length=200, null=True)),
('telefono', models.CharField(max_length=10)),
('DNI', models.CharField(max_length=50)),
('fecha_alta', models.DateField(auto_now_add=True)),
('nota', models.TextField(blank=True)),
('activo', models.BooleanField(default=True)),
],
options={
'ordering': ['-id', 'nombre_completo'],
},
),
migrations.CreateModel(
name='Compras',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('vendedor_id', models.IntegerField(null=True)),
('fecha_entrada', models.DateTimeField(auto_now_add=True)),
('codigo_compra', models.CharField(max_length=150, null=True)),
('firma', models.FileField(null=True, upload_to='firmas')),
('tipo_compra', models.CharField(choices=[('REBU', 'REBU'), ('ISP', 'ISP')], default='REBU', max_length=4)),
('doc_proveedor', models.FileField(default=None, max_length=500, null=True, upload_to='doc_proveedor')),
('tipo_vendedor', models.CharField(choices=[('CL', 'Cliente'), ('PV', 'Proveedor'), ('NO', 'No asignado')], default='NO', max_length=2)),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='ConfigSite',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('ISP', models.IntegerField(blank=True, default=21)),
('email_policia', models.EmailField(blank=True, max_length=100)),
('email_gestoria', models.EmailField(blank=True, max_length=100)),
('codigo_compra', models.IntegerField(default=3023, verbose_name='Inicio contador')),
('firma_tienda', models.FileField(blank=True, upload_to='config')),
('logo_tienda', models.FileField(blank=True, upload_to='config')),
],
),
migrations.CreateModel(
name='Direcciones',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('direccion', models.CharField(blank=True, max_length=200)),
('localidad', models.CharField(blank=True, max_length=50)),
('codigo_postal', models.CharField(blank=True, max_length=10)),
('provincia', models.CharField(blank=True, max_length=50)),
('es_principal', models.BooleanField(default=True)),
('cliente', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Clientes')),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='DocumentoTesteo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('firma', models.FileField(null=True, upload_to='firmas')),
('frimado', models.BooleanField(default=False)),
('fecha', models.DateTimeField(auto_now=True)),
('cliente', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Clientes')),
('empleado', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='DocumentSendGestoria',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('fecha', models.DateTimeField()),
],
options={
'ordering': ['-fecha'],
},
),
migrations.CreateModel(
name='DocumentSendPolice',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('fecha', models.DateTimeField()),
],
options={
'ordering': ['-fecha'],
},
),
migrations.CreateModel(
name='Firmas',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('tipo_documento', models.CharField(choices=[('CP', 'Compra'), ('FT', 'Factura'), ('RP', 'Reparacion'), ('AB', 'Abono'), ('OS', 'Testeo')], default='CP', max_length=2)),
('empleado_id', models.IntegerField()),
('documento_id', models.IntegerField()),
('fecha', models.DateTimeField(auto_now=True)),
('firmado', models.BooleanField(default=False)),
],
options={
'ordering': ['-fecha'],
},
),
migrations.CreateModel(
name='Garantias',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('ns_imei', models.CharField(max_length=100, unique=True, verbose_name='NS o IMEI')),
('documento', models.FileField(upload_to='garantias')),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Historial',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('fecha', models.DateTimeField(auto_now_add=True)),
('detalle', models.CharField(max_length=150)),
('cliente', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Clientes')),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='LineasAbonos',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('detalle', models.CharField(max_length=150)),
('codigo_compra', models.CharField(max_length=150)),
('ns_imei', models.CharField(max_length=150)),
('descuento', models.DecimalField(decimal_places=2, max_digits=5)),
('can', models.IntegerField()),
('p_unidad', models.DecimalField(decimal_places=2, max_digits=10)),
('abono', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Abonos')),
],
),
migrations.CreateModel(
name='LineasPresupuesto',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('detalle', models.CharField(max_length=150)),
('codigo', models.CharField(max_length=150)),
('can', models.IntegerField()),
('precio', models.DecimalField(decimal_places=2, max_digits=10)),
('descuento', models.DecimalField(decimal_places=2, max_digits=6)),
],
),
migrations.CreateModel(
name='LineasVentas',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('detalle', models.CharField(max_length=150)),
('codigo_compra', models.CharField(max_length=150)),
('ns_imei', models.CharField(max_length=150)),
('descuento', models.DecimalField(decimal_places=2, max_digits=6)),
('can', models.IntegerField()),
('p_unidad', models.DecimalField(decimal_places=2, max_digits=10)),
],
),
migrations.CreateModel(
name='ListaTesteo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(max_length=100)),
('descripcion', models.TextField(blank=True)),
('categoria', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Categorias')),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Marcas',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(blank=True, max_length=50)),
('logo', models.FileField(upload_to='logo_marcas')),
('descripcion', models.TextField(blank=True)),
('fecha_creacion', models.DateTimeField(auto_now=True)),
('categorias', models.ManyToManyField(to='adminshop.Categorias')),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Modelos',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(blank=True, max_length=50)),
('precio_usado', models.DecimalField(decimal_places=2, max_digits=9, null=True, verbose_name='Precio usado')),
('categoria', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Categorias')),
('marca', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Marcas')),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='NotasReparacion',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('detalle', models.CharField(max_length=150)),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Presupuesto',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('fecha', models.DateTimeField(auto_now_add=True)),
('firma', models.FileField(null=True, upload_to='firmas')),
('notas_cliente', models.TextField(blank=True)),
('notas_tecnico', models.TextField(blank=True)),
('entrega', models.DecimalField(decimal_places=2, default=0, max_digits=10)),
('estado', models.CharField(choices=[('FT', 'Facturado'), ('NO', 'No facturado')], default='NO', max_length=2)),
('cliente', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='adminshop.Clientes')),
('empleado', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Productos',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('color', models.CharField(max_length=50, null=True)),
('ns_imei', models.CharField(max_length=50, unique=True, verbose_name='NS o IMEI')),
('precio_venta', models.DecimalField(blank=True, decimal_places=2, max_digits=9, null=True, verbose_name='Precio de venta')),
('precio_compra', models.DecimalField(decimal_places=2, max_digits=9, null=True, verbose_name='Precio compra')),
('descuento', models.IntegerField(blank=True, default=0, null=True)),
('descripcion', models.TextField(blank=True, null=True)),
('es_unico', models.BooleanField(default=True)),
('detalle', models.CharField(max_length=150, null=True)),
('estado', models.CharField(choices=[('ST', 'En stock'), ('VT', 'En venta'), ('OL', 'En venta online'), ('RP', 'En reparacion'), ('OK', 'Reparado'), ('OS', 'Testeo'), ('PS', 'Presupuestar'), ('PD', 'Presupuestado'), ('TD', 'Testeado'), ('CT', 'Cliente'), ('VD', 'Vendido')], default='VT', max_length=2)),
('localizacion', models.ForeignKey(default=1, null=True, on_delete=django.db.models.deletion.SET_DEFAULT, to='adminshop.Almacenes')),
('modelo', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='adminshop.Modelos')),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Proveedores',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('razon_social', models.CharField(max_length=200)),
('nombre', models.CharField(max_length=100)),
('email', models.EmailField(blank=True, max_length=100)),
('direccion', models.CharField(blank=True, max_length=200)),
('localidad', models.CharField(blank=True, max_length=50)),
('codigo_postal', models.CharField(blank=True, max_length=10)),
('telefono', models.CharField(max_length=10)),
('CIF', models.CharField(max_length=50)),
('fecha_alta', models.DateField(auto_now_add=True)),
('nota', models.TextField(blank=True)),
('activo', models.BooleanField(default=True)),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Reparaciones',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('detalle', models.CharField(max_length=150)),
('codigo', models.CharField(max_length=150, unique=True)),
('precio', models.DecimalField(decimal_places=2, max_digits=10)),
('marca', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='adminshop.Marcas')),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Testeo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nota', models.CharField(max_length=150)),
('estado', models.CharField(choices=[('NO', 'No Realizado'), ('OK', 'Aprobado'), ('ER', 'Suspenso')], default='NO', max_length=2)),
('descripcion', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.ListaTesteo')),
('producto', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Productos')),
],
options={
'ordering': ['-id'],
},
),
migrations.CreateModel(
name='Tipos',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nombre', models.CharField(blank=True, max_length=50)),
('descripcion', models.TextField(blank=True)),
('incremento', models.DecimalField(decimal_places=2, max_digits=9, null=True)),
],
options={
'ordering': ['-incremento'],
},
),
migrations.CreateModel(
name='Ventas',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('empleado', models.CharField(max_length=150)),
('empleado_id', models.IntegerField(default=-1)),
('fecha_salida', models.DateTimeField(auto_now_add=True)),
('firma', models.FileField(null=True, upload_to='firmas')),
('entrega', models.DecimalField(decimal_places=2, default=0, max_digits=10)),
('forma_pago', models.CharField(choices=[('EF', 'Efectivo'), ('TJ', 'Tarjeta')], default='EF', max_length=2)),
('cliente', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='adminshop.Clientes')),
],
options={
'ordering': ['-fecha_salida'],
},
),
migrations.AddField(
model_name='productos',
name='tipo',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='adminshop.Tipos'),
),
migrations.AddField(
model_name='presupuesto',
name='factura',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='adminshop.Ventas'),
),
migrations.AddField(
model_name='presupuesto',
name='producto',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Productos'),
),
migrations.AddField(
model_name='notasreparacion',
name='presupuesto',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Presupuesto'),
),
migrations.AddField(
model_name='notasreparacion',
name='usuario',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='modelos',
name='tipos_aceptados',
field=models.ManyToManyField(to='adminshop.Tipos'),
),
migrations.AddField(
model_name='lineasventas',
name='venta',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Ventas'),
),
migrations.AddField(
model_name='lineaspresupuesto',
name='presupuesto',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Presupuesto'),
),
migrations.AddField(
model_name='historial',
name='producto',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Productos'),
),
migrations.AddField(
model_name='historial',
name='usuario',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='documentotesteo',
name='producto',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Productos'),
),
migrations.AddField(
model_name='compras',
name='producto',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Productos'),
),
migrations.AddField(
model_name='compras',
name='usuario',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='abonos',
name='cliente',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='adminshop.Clientes'),
),
migrations.AddField(
model_name='abonos',
name='factura',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='adminshop.Ventas'),
),
]
| 49.591304 | 320 | 0.555059 | 2,145 | 22,812 | 5.755711 | 0.108159 | 0.040094 | 0.035153 | 0.055241 | 0.801717 | 0.768184 | 0.716669 | 0.670339 | 0.653005 | 0.617528 | 0 | 0.012067 | 0.291601 | 22,812 | 459 | 321 | 49.699346 | 0.751918 | 0.002981 | 0 | 0.7051 | 1 | 0 | 0.134251 | 0.00277 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.002217 | 0.008869 | 0 | 0.017738 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4900cd8d2360314c2090f1300f3a5dafc8dc74e3 | 8,500 | py | Python | tests/test_generic_feed.py | davidjb/python-geojson-client | 0b51ada02e0e8cfc977c73a7b69d324ca6ba1e75 | [
"Apache-2.0"
] | null | null | null | tests/test_generic_feed.py | davidjb/python-geojson-client | 0b51ada02e0e8cfc977c73a7b69d324ca6ba1e75 | [
"Apache-2.0"
] | null | null | null | tests/test_generic_feed.py | davidjb/python-geojson-client | 0b51ada02e0e8cfc977c73a7b69d324ca6ba1e75 | [
"Apache-2.0"
] | null | null | null | """Test for the generic geojson feed."""
import requests
import unittest
from json import JSONDecodeError
from unittest import mock
from geojson_client import UPDATE_ERROR, UPDATE_OK
from geojson_client.generic_feed import GenericFeed, GenericFeedManager
from tests.utils import load_fixture
class TestGenericFeed(unittest.TestCase):
"""Test the generic feed."""
@mock.patch("requests.Request")
@mock.patch("requests.Session")
def test_update_ok(self, mock_session, mock_request):
"""Test updating feed is ok."""
home_coordinates = (-31.0, 151.0)
mock_session.return_value.__enter__.return_value.send\
.return_value.ok = True
mock_session.return_value.__enter__.return_value.send\
.return_value.text = load_fixture('generic_feed_1.json')
feed = GenericFeed(home_coordinates, None)
assert repr(feed) == "<GenericFeed(home=(-31.0, 151.0), url=None, " \
"radius=None)>"
status, entries = feed.update()
assert status == UPDATE_OK
self.assertIsNotNone(entries)
assert len(entries) == 5
feed_entry = entries[0]
assert feed_entry.title == "Title 1"
assert feed_entry.external_id == "3456"
assert feed_entry.coordinates == (-37.2345, 149.1234)
self.assertAlmostEqual(feed_entry.distance_to_home, 714.4, 1)
assert repr(feed_entry) == "<GenericFeedEntry(id=3456)>"
feed_entry = entries[1]
assert feed_entry.title == "Title 2"
assert feed_entry.external_id == "4567"
feed_entry = entries[2]
assert feed_entry.title == "Title 3"
assert feed_entry.external_id == "Title 3"
feed_entry = entries[3]
self.assertIsNone(feed_entry.title)
assert feed_entry.external_id == -7266545992534134585
feed_entry = entries[4]
assert feed_entry.title == "Title 5"
assert feed_entry.external_id == "7890"
@mock.patch("requests.Request")
@mock.patch("requests.Session")
def test_update_ok_with_filtering(self, mock_session, mock_request):
"""Test updating feed is ok."""
home_coordinates = (-37.0, 150.0)
mock_session.return_value.__enter__.return_value.send\
.return_value.ok = True
mock_session.return_value.__enter__.return_value.send\
.return_value.text = load_fixture('generic_feed_1.json')
feed = GenericFeed(home_coordinates, None, filter_radius=90.0)
status, entries = feed.update()
assert status == UPDATE_OK
self.assertIsNotNone(entries)
assert len(entries) == 4
self.assertAlmostEqual(entries[0].distance_to_home, 82.0, 1)
self.assertAlmostEqual(entries[1].distance_to_home, 77.0, 1)
self.assertAlmostEqual(entries[2].distance_to_home, 84.6, 1)
@mock.patch("requests.Request")
@mock.patch("requests.Session")
def test_update_error(self, mock_session, mock_request):
"""Test updating feed results in error."""
home_coordinates = (-31.0, 151.0)
mock_session.return_value.__enter__.return_value.send\
.return_value.ok = False
feed = GenericFeed(home_coordinates, None)
status, entries = feed.update()
assert status == UPDATE_ERROR
@mock.patch("requests.Request")
@mock.patch("requests.Session")
def test_update_with_request_exception(self, mock_session, mock_request):
"""Test updating feed raises exception."""
home_coordinates = (-31.0, 151.0)
mock_session.return_value.__enter__.return_value.send\
.side_effect = requests.exceptions.RequestException
feed = GenericFeed(home_coordinates, None)
status, entries = feed.update()
assert status == UPDATE_ERROR
self.assertIsNone(entries)
@mock.patch("requests.Request")
@mock.patch("requests.Session")
def test_update_with_json_decode_error(self, mock_session, mock_request):
"""Test updating feed raises exception."""
home_coordinates = (-31.0, 151.0)
mock_session.return_value.__enter__.return_value.send\
.side_effect = JSONDecodeError("", "", 0)
feed = GenericFeed(home_coordinates, None)
status, entries = feed.update()
assert status == UPDATE_ERROR
self.assertIsNone(entries)
@mock.patch("requests.Request")
@mock.patch("requests.Session")
def test_feed_manager(self, mock_session, mock_request):
"""Test the feed manager."""
home_coordinates = (-31.0, 151.0)
mock_session.return_value.__enter__.return_value.send\
.return_value.ok = True
mock_session.return_value.__enter__.return_value.send\
.return_value.text = load_fixture('generic_feed_1.json')
# This will just record calls and keep track of external ids.
generated_entity_external_ids = []
updated_entity_external_ids = []
removed_entity_external_ids = []
def _generate_entity(external_id):
"""Generate new entity."""
generated_entity_external_ids.append(external_id)
def _update_entity(external_id):
"""Update entity."""
updated_entity_external_ids.append(external_id)
def _remove_entity(external_id):
"""Remove entity."""
removed_entity_external_ids.append(external_id)
feed_manager = GenericFeedManager(_generate_entity, _update_entity,
_remove_entity, home_coordinates,
None)
assert repr(feed_manager) == "<GenericFeedManager(feed=<GenericFeed(" \
"home=(-31.0, 151.0), url=None, " \
"radius=None)>)>"
feed_manager.update()
entries = feed_manager.feed_entries
self.assertIsNotNone(entries)
assert len(entries) == 5
assert len(generated_entity_external_ids) == 5
assert len(updated_entity_external_ids) == 0
assert len(removed_entity_external_ids) == 0
feed_entry = entries.get("3456")
assert feed_entry.title == "Title 1"
assert feed_entry.external_id == "3456"
assert feed_entry.coordinates == (-37.2345, 149.1234)
self.assertAlmostEqual(feed_entry.distance_to_home, 714.4, 1)
assert repr(feed_entry) == "<GenericFeedEntry(id=3456)>"
feed_entry = entries.get("4567")
assert feed_entry.title == "Title 2"
assert feed_entry.external_id == "4567"
feed_entry = entries.get("Title 3")
assert feed_entry.title == "Title 3"
assert feed_entry.external_id == "Title 3"
feed_entry = entries.get(-7266545992534134585)
self.assertIsNone(feed_entry.title)
assert feed_entry.external_id == -7266545992534134585
feed_entry = entries.get("7890")
assert feed_entry.title == "Title 5"
assert feed_entry.external_id == "7890"
# Simulate an update with several changes.
generated_entity_external_ids.clear()
updated_entity_external_ids.clear()
removed_entity_external_ids.clear()
mock_session.return_value.__enter__.return_value.send\
.return_value.text = load_fixture('generic_feed_2.json')
feed_manager.update()
entries = feed_manager.feed_entries
self.assertIsNotNone(entries)
assert len(entries) == 3
assert len(generated_entity_external_ids) == 1
assert len(updated_entity_external_ids) == 2
assert len(removed_entity_external_ids) == 3
feed_entry = entries.get("3456")
assert feed_entry.title == "Title 1 UPDATED"
feed_entry = entries.get("4567")
assert feed_entry.title == "Title 2"
feed_entry = entries.get("8901")
assert feed_entry.title == "Title 6"
# Simulate an update with no data.
generated_entity_external_ids.clear()
updated_entity_external_ids.clear()
removed_entity_external_ids.clear()
mock_session.return_value.__enter__.return_value.send\
.return_value.ok = False
feed_manager.update()
entries = feed_manager.feed_entries
assert len(entries) == 0
assert len(generated_entity_external_ids) == 0
assert len(updated_entity_external_ids) == 0
assert len(removed_entity_external_ids) == 3
| 39.170507 | 79 | 0.651765 | 999 | 8,500 | 5.236236 | 0.123123 | 0.072262 | 0.065953 | 0.046263 | 0.800229 | 0.78226 | 0.735423 | 0.714586 | 0.706557 | 0.696616 | 0 | 0.040705 | 0.245647 | 8,500 | 216 | 80 | 39.351852 | 0.775109 | 0.050471 | 0 | 0.644172 | 0 | 0 | 0.077 | 0.014601 | 0 | 0 | 0 | 0 | 0.361963 | 1 | 0.055215 | false | 0 | 0.042945 | 0 | 0.104294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4905d488fbb67dc6906235c191fb449b181f89cb | 17,314 | py | Python | tests/test_nc_sit_scenario.py | NickLucche/avalanche | 627be32a0a5178bf255a53ada5413fec3df1642f | [
"MIT"
] | 3 | 2021-09-20T11:43:25.000Z | 2022-03-31T09:04:34.000Z | tests/test_nc_sit_scenario.py | NickLucche/avalanche | 627be32a0a5178bf255a53ada5413fec3df1642f | [
"MIT"
] | null | null | null | tests/test_nc_sit_scenario.py | NickLucche/avalanche | 627be32a0a5178bf255a53ada5413fec3df1642f | [
"MIT"
] | null | null | null | import unittest
from os.path import expanduser
import random
from PIL.Image import Image
from torch import Tensor
from torchvision.datasets import MNIST
from torchvision.transforms import ToTensor
from avalanche.benchmarks.datasets import CIFAR100, get_default_dataset_location
from avalanche.benchmarks.scenarios.new_classes import NCExperience
from avalanche.benchmarks.utils import AvalancheSubset, AvalancheDataset
from avalanche.benchmarks.scenarios.new_classes.nc_utils import \
make_nc_transformation_subset
from avalanche.benchmarks import nc_benchmark, GenericScenarioStream
class SITTests(unittest.TestCase):
def test_sit_single_dataset(self):
mnist_train = MNIST(
root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(
root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
my_nc_benchmark = nc_benchmark(
mnist_train, mnist_test, 5, task_labels=False, shuffle=True,
seed=1234)
self.assertEqual(5, my_nc_benchmark.n_experiences)
self.assertEqual(10, my_nc_benchmark.n_classes)
for batch_id in range(my_nc_benchmark.n_experiences):
self.assertEqual(
2,
len(my_nc_benchmark.classes_in_experience['train'][batch_id]))
all_classes = set()
for batch_id in range(5):
all_classes.update(
my_nc_benchmark.classes_in_experience['train'][batch_id])
self.assertEqual(10, len(all_classes))
def test_sit_single_dataset_fixed_order(self):
order = [2, 3, 5, 7, 8, 9, 0, 1, 4, 6]
mnist_train = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
my_nc_benchmark = nc_benchmark(
mnist_train, mnist_test, 5, task_labels=False,
fixed_class_order=order)
all_classes = []
for batch_id in range(5):
all_classes.extend(
my_nc_benchmark.classes_in_experience['train'][batch_id])
self.assertEqual(order, all_classes)
def test_sit_single_dataset_fixed_order_subset(self):
order = [2, 3, 5, 8, 9, 1, 4, 6]
mnist_train = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
my_nc_benchmark = nc_benchmark(
mnist_train, mnist_test, 4, task_labels=False,
fixed_class_order=order)
self.assertEqual(4, len(my_nc_benchmark.classes_in_experience['train']))
all_classes = set()
for batch_id in range(4):
self.assertEqual(
2,
len(my_nc_benchmark.classes_in_experience['train'][batch_id]))
all_classes.update(
my_nc_benchmark.classes_in_experience['train'][batch_id])
self.assertEqual(set(order), all_classes)
def test_sit_single_dataset_remap_indexes(self):
order = [2, 3, 5, 8, 9, 1, 4, 6]
mnist_train = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
my_nc_benchmark = nc_benchmark(
mnist_train, mnist_test, 4, task_labels=False,
fixed_class_order=order, class_ids_from_zero_from_first_exp=True)
self.assertEqual(4, len(my_nc_benchmark.classes_in_experience['train']))
all_classes = []
for batch_id in range(4):
self.assertEqual(
2,
len(my_nc_benchmark.classes_in_experience['train'][batch_id]))
all_classes.extend(
my_nc_benchmark.classes_in_experience['train'][batch_id])
self.assertEqual(list(range(8)), all_classes)
# Regression test for issue #258
for i, experience in enumerate(my_nc_benchmark.train_stream):
unique_dataset_classes = sorted(set(experience.dataset.targets))
expected_dataset_classes = list(range(2 * i, 2 * (i+1)))
self.assertListEqual(expected_dataset_classes,
unique_dataset_classes)
self.assertListEqual(
sorted(order[2 * i:2 * (i+1)]),
sorted(my_nc_benchmark.original_classes_in_exp[i]))
# End regression test for issue #258
def test_sit_single_dataset_remap_indexes_each_exp(self):
order = [2, 3, 5, 8, 9, 1, 4, 6]
mnist_train = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
with self.assertRaises(ValueError):
# class_ids_from_zero_* are mutually exclusive
nc_benchmark(
mnist_train, mnist_test, 4, task_labels=False,
fixed_class_order=order,
class_ids_from_zero_from_first_exp=True,
class_ids_from_zero_in_each_exp=True)
my_nc_benchmark = nc_benchmark(
mnist_train, mnist_test, 4, task_labels=False,
fixed_class_order=order,
class_ids_from_zero_in_each_exp=True)
self.assertEqual(4, len(my_nc_benchmark.classes_in_experience['train']))
all_classes = []
for batch_id in range(4):
self.assertEqual(
2,
len(my_nc_benchmark.classes_in_experience['train'][batch_id]))
all_classes.extend(
my_nc_benchmark.classes_in_experience['train'][batch_id])
self.assertEqual(8, len(all_classes))
self.assertListEqual([0, 1], sorted(set(all_classes)))
# Regression test for issue #258
for i, experience in enumerate(my_nc_benchmark.train_stream):
unique_dataset_classes = sorted(set(experience.dataset.targets))
expected_dataset_classes = [0, 1]
self.assertListEqual(expected_dataset_classes,
unique_dataset_classes)
self.assertListEqual(
sorted(order[2 * i:2 * (i + 1)]),
sorted(my_nc_benchmark.original_classes_in_exp[i]))
# End regression test for issue #258
def test_sit_single_dataset_reproducibility_data(self):
mnist_train = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
nc_benchmark_ref = nc_benchmark(
mnist_train, mnist_test, 5, task_labels=False, shuffle=True,
seed=5678)
my_nc_benchmark = nc_benchmark(
mnist_train, mnist_test, -1, task_labels=False,
reproducibility_data=nc_benchmark_ref.get_reproducibility_data())
self.assertEqual(nc_benchmark_ref.train_exps_patterns_assignment,
my_nc_benchmark.train_exps_patterns_assignment)
self.assertEqual(nc_benchmark_ref.test_exps_patterns_assignment,
my_nc_benchmark.test_exps_patterns_assignment)
def test_sit_single_dataset_batch_size(self):
mnist_train = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
my_nc_benchmark = nc_benchmark(
mnist_train, mnist_test, 3, task_labels=False,
per_exp_classes={0: 5, 2: 2})
self.assertEqual(3, my_nc_benchmark.n_experiences)
self.assertEqual(10, my_nc_benchmark.n_classes)
all_classes = set()
for batch_id in range(3):
all_classes.update(
my_nc_benchmark.classes_in_experience['train'][batch_id])
self.assertEqual(10, len(all_classes))
self.assertEqual(
5, len(my_nc_benchmark.classes_in_experience['train'][0]))
self.assertEqual(
3, len(my_nc_benchmark.classes_in_experience['train'][1]))
self.assertEqual(
2, len(my_nc_benchmark.classes_in_experience['train'][2]))
def test_sit_multi_dataset_one_batch_per_set(self):
split_mapping = [0, 1, 2, 0, 1, 2, 3, 4, 5, 6]
mnist_train = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
train_part1 = make_nc_transformation_subset(
mnist_train, None, None, range(3))
train_part2 = make_nc_transformation_subset(
mnist_train, None, None, range(3, 10))
train_part2 = AvalancheSubset(
train_part2, class_mapping=split_mapping)
test_part1 = make_nc_transformation_subset(
mnist_test, None, None, range(3))
test_part2 = make_nc_transformation_subset(
mnist_test, None, None, range(3, 10))
test_part2 = AvalancheSubset(test_part2,
class_mapping=split_mapping)
my_nc_benchmark = nc_benchmark(
[train_part1, train_part2], [test_part1, test_part2], 2,
task_labels=False, shuffle=True, seed=1234,
one_dataset_per_exp=True)
self.assertEqual(2, my_nc_benchmark.n_experiences)
self.assertEqual(10, my_nc_benchmark.n_classes)
all_classes = set()
for batch_id in range(2):
all_classes.update(
my_nc_benchmark.classes_in_experience['train'][batch_id])
self.assertEqual(10, len(all_classes))
self.assertTrue(
(my_nc_benchmark.classes_in_experience['train'][0] == {0, 1, 2} and
my_nc_benchmark.classes_in_experience['train'][1] ==
set(range(3, 10))) or
(my_nc_benchmark.classes_in_experience['train'][0] ==
set(range(3, 10)) and
my_nc_benchmark.classes_in_experience['train'][1] == {0, 1, 2}))
def test_sit_multi_dataset_merge(self):
split_mapping = [0, 1, 2, 3, 4, 0, 1, 2, 3, 4]
mnist_train = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
train_part1 = make_nc_transformation_subset(
mnist_train, None, None, range(5))
train_part2 = make_nc_transformation_subset(
mnist_train, None, None, range(5, 10))
train_part2 = AvalancheSubset(
train_part2, class_mapping=split_mapping)
test_part1 = make_nc_transformation_subset(
mnist_test, None, None, range(5))
test_part2 = make_nc_transformation_subset(
mnist_test, None, None, range(5, 10))
test_part2 = AvalancheSubset(test_part2,
class_mapping=split_mapping)
my_nc_benchmark = nc_benchmark(
[train_part1, train_part2], [test_part1, test_part2], 5,
task_labels=False, shuffle=True, seed=1234)
self.assertEqual(5, my_nc_benchmark.n_experiences)
self.assertEqual(10, my_nc_benchmark.n_classes)
for batch_id in range(5):
self.assertEqual(
2,
len(my_nc_benchmark.classes_in_experience['train'][batch_id]))
all_classes = set()
for batch_id in range(5):
all_classes.update(
my_nc_benchmark.classes_in_experience['train'][batch_id])
self.assertEqual(10, len(all_classes))
def test_nc_sit_slicing(self):
mnist_train = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=True, download=True)
mnist_test = MNIST(root=expanduser("~") + "/.avalanche/data/mnist/",
train=False, download=True)
my_nc_benchmark = nc_benchmark(
mnist_train, mnist_test, 5, task_labels=False, shuffle=True,
seed=1234)
experience: NCExperience
for batch_id, experience in enumerate(my_nc_benchmark.train_stream):
self.assertEqual(batch_id, experience.current_experience)
self.assertIsInstance(experience, NCExperience)
for batch_id, experience in enumerate(my_nc_benchmark.test_stream):
self.assertEqual(batch_id, experience.current_experience)
self.assertIsInstance(experience, NCExperience)
iterable_slice = [3, 4, 1]
sliced_stream = my_nc_benchmark.train_stream[iterable_slice]
self.assertIsInstance(sliced_stream, GenericScenarioStream)
self.assertEqual(len(iterable_slice), len(sliced_stream))
self.assertEqual('train', sliced_stream.name)
for batch_id, experience in enumerate(sliced_stream):
self.assertEqual(iterable_slice[batch_id],
experience.current_experience)
self.assertIsInstance(experience, NCExperience)
sliced_stream = my_nc_benchmark.test_stream[iterable_slice]
self.assertIsInstance(sliced_stream, GenericScenarioStream)
self.assertEqual(len(iterable_slice), len(sliced_stream))
self.assertEqual('test', sliced_stream.name)
for batch_id, experience in enumerate(sliced_stream):
self.assertEqual(iterable_slice[batch_id],
experience.current_experience)
self.assertIsInstance(experience, NCExperience)
def test_nc_benchmark_transformations_basic(self):
# Regression for #577
ds = CIFAR100(root=expanduser("~") + "/.avalanche/data/cifar100/",
train=True, download=True)
ds = AvalancheDataset(ds, transform=ToTensor())
scenario = nc_benchmark(
ds, ds, n_experiences=10, shuffle=True, seed=1234,
task_labels=False
)
exp_0_dataset = scenario.train_stream[0].dataset
self.assertIsInstance(exp_0_dataset[0][0], Tensor)
def test_nc_benchmark_transformations_advanced(self):
# Regression for #577
ds = CIFAR100(root=expanduser("~") + "/.avalanche/data/cifar100/",
train=True, download=True)
scenario = nc_benchmark(
ds, ds, n_experiences=10, shuffle=True, seed=1234,
task_labels=False, train_transform=ToTensor(),
eval_transform=None
)
ds_train_train = scenario.train_stream[0].dataset
self.assertIsInstance(ds_train_train[0][0], Tensor)
ds_train_eval = scenario.train_stream[0].dataset.eval()
self.assertIsInstance(ds_train_eval[0][0], Image)
ds_test_eval = scenario.test_stream[0].dataset
self.assertIsInstance(ds_test_eval[0][0], Image)
ds_test_train = scenario.test_stream[0].dataset.train()
self.assertIsInstance(ds_test_train[0][0], Tensor)
def test_nc_benchmark_classes_in_exp_range(self):
train_set = CIFAR100(get_default_dataset_location('cifar100'),
train=True, download=True)
test_set = CIFAR100(get_default_dataset_location('cifar100'),
train=False, download=True)
benchmark_instance = nc_benchmark(
train_dataset=train_set,
test_dataset=test_set,
n_experiences=5,
task_labels=False,
seed=1234,
shuffle=False)
cie_data = benchmark_instance.classes_in_exp_range(0, None)
self.assertEqual(5, len(cie_data))
for i in range(5):
expected = set(range(i*20, (i+1)*20))
self.assertSetEqual(expected, set(cie_data[i]))
cie_data = benchmark_instance.classes_in_exp_range(1, 4)
self.assertEqual(3, len(cie_data))
for i in range(1, 3):
expected = set(range(i * 20, (i + 1) * 20))
self.assertSetEqual(expected, set(cie_data[i-1]))
random_class_order = list(range(100))
random.shuffle(random_class_order)
benchmark_instance = nc_benchmark(
train_dataset=train_set,
test_dataset=test_set,
n_experiences=5,
task_labels=False,
seed=1234,
fixed_class_order=random_class_order,
shuffle=False)
cie_data = benchmark_instance.classes_in_exp_range(0, None)
self.assertEqual(5, len(cie_data))
for i in range(5):
expected = set(random_class_order[i * 20: (i + 1) * 20])
self.assertSetEqual(expected, set(cie_data[i]))
if __name__ == '__main__':
unittest.main()
| 42.229268 | 80 | 0.623137 | 2,027 | 17,314 | 5.01184 | 0.074494 | 0.082292 | 0.066542 | 0.047249 | 0.863668 | 0.828526 | 0.798012 | 0.770351 | 0.731273 | 0.712176 | 0 | 0.025578 | 0.275153 | 17,314 | 409 | 81 | 42.332518 | 0.783904 | 0.012129 | 0 | 0.640244 | 0 | 0 | 0.039906 | 0.029959 | 0 | 0 | 0 | 0 | 0.185976 | 1 | 0.039634 | false | 0 | 0.036585 | 0 | 0.079268 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0b261bc56ec5dadbf28c1e7c813a4b39f9a8ab2c | 36 | py | Python | spinnaker/__init__.py | jdewinne/pyspinnaker | 6ba610dc518217e0750b46cd0aeebbdee75b5a9d | [
"MIT"
] | null | null | null | spinnaker/__init__.py | jdewinne/pyspinnaker | 6ba610dc518217e0750b46cd0aeebbdee75b5a9d | [
"MIT"
] | 1 | 2021-06-01T22:58:18.000Z | 2021-06-01T22:58:18.000Z | spinnaker/__init__.py | jdewinne/pyspinnaker | 6ba610dc518217e0750b46cd0aeebbdee75b5a9d | [
"MIT"
] | 1 | 2019-06-04T02:25:50.000Z | 2019-06-04T02:25:50.000Z | from .client import SpinnakerClient
| 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 | 1 | 0 | 0 | 6 |
0b2f4bf478d3eb965dfcca6ff8f6107ae61320e3 | 4,700 | py | Python | Sprite.py | BITEWKRER/KeepGoing | 2d42c6cd6ad62ff8739183805d5b743dc65910c4 | [
"BSD-3-Clause"
] | 1 | 2021-08-10T05:11:19.000Z | 2021-08-10T05:11:19.000Z | Sprite.py | BITEWKRER/KeepGoing | 2d42c6cd6ad62ff8739183805d5b743dc65910c4 | [
"BSD-3-Clause"
] | null | null | null | Sprite.py | BITEWKRER/KeepGoing | 2d42c6cd6ad62ff8739183805d5b743dc65910c4 | [
"BSD-3-Clause"
] | null | null | null | # encoding : utf-8
# antuor : comi
from setting import *
from pygame import *
import pygame,sys,time
vec = pygame.math.Vector2
class Player(pygame.sprite.Sprite):
Bullet_groups = pygame.sprite.Group()
flag = 1
def __init__(self):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.image.load(r'img\down.png').convert()
self.image.set_colorkey(white)
self.rect = self.image.get_rect()
self.rect.midbottom = (115, 130)
self.pos = vec(115, 130)
self.last_time = time.time()
def update(self):
key_pressed = pygame.key.get_pressed()
if key_pressed[pygame.K_a]:
self.image = pygame.image.load(r'img\left.png').convert()
self.image.set_colorkey(white)
self.pos.x -= move_space
self.flag = 2
if key_pressed[pygame.K_d]:
self.image = pygame.image.load(r'img\right.png').convert()
self.image.set_colorkey(white)
self.pos.x += move_space
self.flag = 1
if key_pressed[pygame.K_w]:
self.image = pygame.image.load(r'img\up.png').convert()
self.image.set_colorkey(white)
self.pos.y -= move_space
self.flag = 3
if key_pressed[pygame.K_s]:
self.image = pygame.image.load(r'img\down.png').convert()
self.image.set_colorkey(white)
self.pos.y += move_space
self.flag = 4
if key_pressed[pygame.K_SPACE]:
self.shoot()
self.rect.midbottom = self.pos
def shoot(self):
self.now = time.time()
if self.now - self.last_time > 0.8:
pygame.mixer.music.load(r'sounds\expl.wav')
pygame.mixer.music.play()
bullet = Bullet(self.pos.x, self.pos.y)
self.Bullet_groups.add(bullet)
self.last_time = self.now
class Platform(pygame.sprite.Sprite):
def __init__(self, x, y, w, h):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.Surface((w, h))
self.image.fill(yellow)
self.rect = self.image.get_rect()
self.rect.x = x
self.rect.y = y
class Enemy(pygame.sprite.Sprite):
Bullet_groups = pygame.sprite.Group()
flag = 1
def __init__(self):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.image.load(r'img\down.png').convert()
self.image.set_colorkey(white)
self.rect = self.image.get_rect()
self.rect.midbottom = (315, 130)
self.pos = vec(315, 130)
self.bar = 100
self.last_time = time.time()
self.flag = 1
def update(self):
key_pressed = pygame.key.get_pressed()
if key_pressed[pygame.K_LEFT]:
self.image = pygame.image.load(r'img\left.png').convert()
self.image.set_colorkey(white)
self.pos.x -= move_space
self.flag = 2
if key_pressed[pygame.K_RIGHT]:
self.image = pygame.image.load(r'img\right.png').convert()
self.image.set_colorkey(white)
self.pos.x += move_space
self.flag = 1
if key_pressed[pygame.K_UP]:
self.image = pygame.image.load(r'img\up.png').convert()
self.image.set_colorkey(white)
self.pos.y -= move_space
self.flag = 3
if key_pressed[pygame.K_DOWN]:
self.image = pygame.image.load(r'img\down.png').convert()
self.image.set_colorkey(white)
self.pos.y += move_space
self.flag = 4
if key_pressed[pygame.K_p]:
self.shoot()
self.rect.midbottom = self.pos
def shoot(self):
self.now = time.time()
if self.now - self.last_time > 0.8:
pygame.mixer.music.load(r'sounds\expl.wav')
pygame.mixer.music.play()
bullet = Bullet(self.pos.x, self.pos.y)
self.Bullet_groups.add(bullet)
self.Bullet_groups.update(self.flag)
self.last_time = self.now
class Bullet(pygame.sprite.Sprite):
def __init__(self, x, y):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.image.load(r'img\dot.png ').convert()
self.image.set_colorkey(white)
self.rect = self.image.get_rect()
self.rect.centerx = x + 10
self.rect.bottom = y - 12
self.speed = 5
def update(self,flag):
if flag == 1: # right
self.rect.x += self.speed
if flag == 2: # left
self.rect.x -= self.speed
if flag == 3: #up
self.rect.y -= self.speed
if flag == 4: # down
self.rect.y += self.speed
| 32.867133 | 70 | 0.571277 | 639 | 4,700 | 4.061033 | 0.137715 | 0.09711 | 0.069364 | 0.084778 | 0.856262 | 0.826975 | 0.810019 | 0.791522 | 0.739499 | 0.739499 | 0 | 0.016105 | 0.299787 | 4,700 | 142 | 71 | 33.098592 | 0.77241 | 0.010213 | 0 | 0.644628 | 0 | 0 | 0.034446 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07438 | false | 0 | 0.024793 | 0 | 0.165289 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0b3c917f7ee5fbbcc5232dd4acaf25e7172703e6 | 42 | py | Python | favorite-animals/nkr22.py | jasonstewartpariveda/learn-git-1 | ae981f5a3d787860240ce658f46f1d98d0caf76e | [
"MIT"
] | 1 | 2021-09-29T18:48:12.000Z | 2021-09-29T18:48:12.000Z | favorite-animals/nkr22.py | jasonstewartpariveda/learn-git-1 | ae981f5a3d787860240ce658f46f1d98d0caf76e | [
"MIT"
] | 21 | 2021-09-27T17:19:45.000Z | 2021-09-30T04:07:26.000Z | favorite-animals/nkr22.py | jasonstewartpariveda/learn-git-1 | ae981f5a3d787860240ce658f46f1d98d0caf76e | [
"MIT"
] | 192 | 2021-09-27T17:10:51.000Z | 2021-10-05T03:06:36.000Z | print('My least favorite animal is a cat') | 42 | 42 | 0.761905 | 8 | 42 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 42 | 1 | 42 | 42 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0.767442 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
0b7da84e495ca167988a4f8191c7a915ff5363c3 | 146 | py | Python | src/deoxys/keras/layers.py | huynhngoc/deoxys | b2e9936b723807e129fda36d8d6131ca00db558f | [
"MIT"
] | 1 | 2021-12-28T15:48:45.000Z | 2021-12-28T15:48:45.000Z | src/deoxys/keras/layers.py | huynhngoc/deoxys | b2e9936b723807e129fda36d8d6131ca00db558f | [
"MIT"
] | 2 | 2020-06-26T11:03:53.000Z | 2020-06-26T11:05:09.000Z | src/deoxys/keras/layers.py | huynhngoc/deoxys | b2e9936b723807e129fda36d8d6131ca00db558f | [
"MIT"
] | null | null | null | from ..utils import is_keras_standalone
if is_keras_standalone():
from keras.layers import *
else:
from tensorflow.keras.layers import *
| 20.857143 | 41 | 0.760274 | 20 | 146 | 5.35 | 0.5 | 0.130841 | 0.317757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164384 | 146 | 6 | 42 | 24.333333 | 0.877049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0bc2af87b855feef9f015a0a3ccd2d2793e3f849 | 24,203 | py | Python | tests/handlers/v2/test_requests.py | jen6/consoleme | b3c80209bce5ff2e3e4361ad0097c881a7946fb3 | [
"Apache-2.0"
] | null | null | null | tests/handlers/v2/test_requests.py | jen6/consoleme | b3c80209bce5ff2e3e4361ad0097c881a7946fb3 | [
"Apache-2.0"
] | null | null | null | tests/handlers/v2/test_requests.py | jen6/consoleme | b3c80209bce5ff2e3e4361ad0097c881a7946fb3 | [
"Apache-2.0"
] | 1 | 2021-07-30T17:43:57.000Z | 2021-07-30T17:43:57.000Z | from unittest.mock import mock_open, patch
import ujson as json
from deepdiff import DeepDiff
from tornado.testing import AsyncHTTPTestCase
class TestRequestsHandler(AsyncHTTPTestCase):
def get_app(self):
from consoleme.config import config
self.config = config
from consoleme.routes import make_app
return make_app(jwt_validator=lambda x: {})
def test_get(self):
# Method not allowed
headers = {
self.config.get("auth.user_header_name"): "user@github.com",
self.config.get("auth.groups_header_name"): "groupa,groupb,groupc",
}
response = self.fetch("/api/v2/requests", method="GET", headers=headers)
self.assertEqual(response.code, 405)
def test_post(self):
mock_request_data = [
{
"request_id": 12345,
"username": "user@example.com",
"request_time": 22345,
},
{
"request_id": 12346,
"username": "userb@example.com",
"request_time": 12345,
},
]
expected_response = {
"totalCount": 2,
"filteredCount": 2,
"data": mock_request_data,
}
from consoleme.lib.redis import RedisHandler
# Mocked by fakeredis
red = RedisHandler().redis_sync()
red.set(
self.config.get("cache_policy_requests.redis_key", "ALL_POLICY_REQUESTS"),
json.dumps(mock_request_data),
)
headers = {
self.config.get("auth.user_header_name"): "user@github.com",
self.config.get("auth.groups_header_name"): "groupa,groupb,groupc",
}
response = self.fetch(
"/api/v2/requests", method="POST", headers=headers, body="{}"
)
self.assertEqual(response.code, 200)
diff = DeepDiff(json.loads(response.body), expected_response)
self.assertFalse(diff)
def test_post_request(self):
mock_request_data = {
"justification": "test asdf",
"admin_auto_approve": False,
"changes": {
"changes": [
{
"principal": {
"principal_arn": "arn:aws:iam::123456789012:role/TestInstanceProfile",
"principal_type": "AwsResource",
},
"change_type": "inline_policy",
"action": "attach",
"policy": {
"policy_document": {
"Version": "2012-10-17",
"Statement": [
{
"Action": ["sqs:SetQueueAttributes"],
"Effect": "Allow",
"Resource": [
"arn:aws:sqs:us-east-1:223456789012:queue"
],
}
],
}
},
}
]
},
}
from consoleme.lib.redis import RedisHandler
# Mocked by fakeredis
red = RedisHandler().redis_sync()
red.set(
self.config.get("cache_policy_requests.redis_key", "ALL_POLICY_REQUESTS"),
json.dumps(mock_request_data),
)
headers = {
self.config.get("auth.user_header_name"): "user@github.com",
self.config.get("auth.groups_header_name"): "groupa,groupb,groupc",
}
response = self.fetch(
"/api/v2/request",
method="POST",
headers=headers,
body=json.dumps(mock_request_data),
)
self.assertEqual(response.code, 200)
response_d = json.loads(response.body)
self.assertEqual(response_d["errors"], 0)
self.assertEqual(response_d["request_created"], True)
self.assertIn("/policies/request/", response_d["request_url"])
def test_post_request_admin_auto_approve(self):
mock_request_data = {
"justification": "test asdf",
"admin_auto_approve": True,
"changes": {
"changes": [
{
"principal": {
"principal_arn": "arn:aws:iam::123456789012:role/TestInstanceProfile",
"principal_type": "AwsResource",
},
"change_type": "inline_policy",
"action": "attach",
"policy": {
"policy_document": {
"Version": "2012-10-17",
"Statement": [
{
"Action": ["sqs:SetQueueAttributes"],
"Effect": "Allow",
"Resource": [
"arn:aws:sqs:us-east-1:223456789012:queue"
],
}
],
}
},
}
]
},
}
from consoleme.lib.redis import RedisHandler
# Mocked by fakeredis
red = RedisHandler().redis_sync()
red.set(
self.config.get("cache_policy_requests.redis_key", "ALL_POLICY_REQUESTS"),
json.dumps(mock_request_data),
)
headers = {
self.config.get("auth.user_header_name"): "consoleme_admins@example.com",
self.config.get("auth.groups_header_name"): "groupa,groupb,groupc",
}
response = self.fetch(
"/api/v2/request",
method="POST",
headers=headers,
body=json.dumps(mock_request_data),
)
self.assertEqual(response.code, 200)
response_d = json.loads(response.body)
self.assertEqual(response_d["errors"], 0)
self.assertEqual(response_d["request_created"], True)
self.assertIn("/policies/request/", response_d["request_url"])
self.assertIn(
{"status": "success", "message": "Successfully updated request status"},
response_d["action_results"],
)
self.assertIn(
{"status": "success", "message": "Successfully updated change in dynamo"},
response_d["action_results"],
)
def test_post_limit(self):
mock_request_data = [
{"request_id": 12345, "username": "user@example.com"},
{"request_id": 12346, "username": "userb@example.com"},
]
from consoleme.lib.redis import RedisHandler
# Mocked by fakeredis
red = RedisHandler().redis_sync()
red.set(
self.config.get("cache_policy_requests.redis_key", "ALL_POLICY_REQUESTS"),
json.dumps(mock_request_data),
)
headers = {
self.config.get("auth.user_header_name"): "user@github.com",
self.config.get("auth.groups_header_name"): "groupa,groupb,groupc",
}
response = self.fetch(
"/api/v2/requests",
method="POST",
headers=headers,
body=json.dumps({"limit": 1}),
)
self.assertEqual(response.code, 200)
self.assertEqual(len(json.loads(response.body)), 3)
self.assertEqual(len(json.loads(response.body)["data"]), 1)
def test_post_filter(self):
mock_request_data = [
{"request_id": 12345, "username": "user@example.com"},
{"request_id": 12346, "username": "userb@example.com"},
]
from consoleme.lib.redis import RedisHandler
# Mocked by fakeredis
red = RedisHandler().redis_sync()
red.set(
self.config.get("cache_policy_requests.redis_key", "ALL_POLICY_REQUESTS"),
json.dumps(mock_request_data),
)
headers = {
self.config.get("auth.user_header_name"): "user@github.com",
self.config.get("auth.groups_header_name"): "groupa,groupb,groupc",
}
response = self.fetch(
"/api/v2/requests",
method="POST",
headers=headers,
body=json.dumps({"filters": {"request_id": "12346"}}),
)
self.assertEqual(response.code, 200)
res = json.loads(response.body)
self.assertEqual(len(json.loads(response.body)), 3)
self.assertEqual(len(json.loads(response.body)["data"]), 1)
self.assertEqual(res["data"][0], mock_request_data[1])
def test_post_iam_role_request_dry_run(self):
headers = {
self.config.get("auth.user_header_name"): "user@github.com",
self.config.get("auth.groups_header_name"): "groupa,groupb,groupc",
}
input_body = {
"dry_run": True,
"changes": {
"changes": [
{
"principal": {
"principal_type": "AwsResource",
"principal_arn": "arn:aws:iam::123456789012:role/RoleNumber1",
},
"change_type": "inline_policy",
"action": "attach",
"policy": {
"policy_document": {
"Version": "2012-10-17",
"Statement": [
{
"Action": ["sqs:*"],
"Effect": "Allow",
"Resource": ["*"],
}
],
}
},
}
]
},
}
response = self.fetch(
"/api/v2/request",
method="POST",
headers=headers,
body=json.dumps(input_body),
)
result = json.loads(response.body)
result["extended_request"].pop("id")
result["extended_request"].pop("timestamp")
result["extended_request"]["changes"]["changes"][0].pop("id")
result["extended_request"]["changes"]["changes"][0].pop("policy_name")
self.assertEqual(
result,
{
"errors": 0,
"request_created": False,
"request_id": None,
"request_url": None,
"action_results": None,
"extended_request": {
"request_url": None,
"principal": {
"principal_type": "AwsResource",
"principal_arn": "arn:aws:iam::123456789012:role/RoleNumber1",
},
"justification": None,
"requester_email": "user@github.com",
"approvers": [],
"request_status": "pending",
"cross_account": False,
"arn_url": "/policies/edit/123456789012/iamrole/RoleNumber1",
"admin_auto_approve": False,
"changes": {
"changes": [
{
"principal": {
"principal_type": "AwsResource",
"principal_arn": "arn:aws:iam::123456789012:role/RoleNumber1",
},
"change_type": "inline_policy",
"resources": [],
"version": "3.0",
"status": "not_applied",
"autogenerated": False,
"updated_by": None,
"new": True,
"action": "attach",
"policy": {
"version": None,
"policy_document": {
"Version": "2012-10-17",
"Statement": [
{
"Action": ["sqs:*"],
"Effect": "Allow",
"Resource": ["*"],
}
],
},
"policy_sha256": None,
},
"old_policy": None,
}
]
},
"requester_info": {
"email": "user@github.com",
"extended_info": {
"domain": "",
"userName": "user@github.com",
"name": {"givenName": "", "familyName": "", "fullName": ""},
"primaryEmail": "user@github.com",
},
"details_url": None,
"photo_url": "https://www.gravatar.com/avatar/1496f7f4fd086e2d0a0460220331e9ec?d=mp",
},
"reviewer": None,
"comments": [],
},
},
)
@patch("git.Repo")
@patch("git.Git")
def test_post_honeybee_request_dry_run(self, mock_git, mock_repo):
headers = {
self.config.get("auth.user_header_name"): "user@github.com",
self.config.get("auth.groups_header_name"): "groupa,groupb,groupc",
}
input_body = {
"dry_run": True,
"changes": {
"changes": [
{
"principal": {
"principal_type": "HoneybeeAwsResourceTemplate",
"repository_name": "honeybee_templates",
"resource_identifier": "iamrole/abc.yaml",
"resource_url": "http://example.com/fake_repo/path/to/file.yaml",
},
"change_type": "inline_policy",
"action": "attach",
"policy": {
"policy_document": {
"Version": "2012-10-17",
"Statement": [
{
"Action": [
"s3:GetObjectVersionTagging",
"s3:GetObjectAcl",
"s3:ListBucket",
"s3:GetObject",
"s3:GetObjectVersionAcl",
"s3:GetObjectTagging",
"s3:GetObjectVersion",
"s3:ListBucketVersions",
],
"Effect": "Allow",
"Resource": [
"arn:aws:s3:::bucketa",
"arn:aws:s3:::bucketa/*",
],
"Sid": "cmccastrapel1623864565xhwu",
}
],
}
},
}
]
},
}
template_data = """
Policies:
- IncludeAccounts:
- account_a
- account_b
- account_c
PolicyName: policy_a
Statement:
- Action:
- '*'
Effect: Allow
Resource:
- '*'
Sid: admin"""
with patch("builtins.open", mock_open(read_data=template_data)):
response = self.fetch(
"/api/v2/request",
method="POST",
headers=headers,
body=json.dumps(input_body),
)
result = json.loads(response.body)
result["extended_request"].pop("timestamp")
result["extended_request"].pop("id")
yaml_policy = result["extended_request"]["changes"]["changes"][0].pop(
"policy"
)
from consoleme.lib.yaml import yaml
# Get this in a standard dictionary format
generated_policy = json.loads(json.dumps(yaml.load(yaml_policy)))
generated_policy["Policies"][1]["Statement"][0].pop("Sid")
self.assertEqual(
generated_policy,
{
"Policies": [
{
"IncludeAccounts": ["account_a", "account_b", "account_c"],
"PolicyName": "policy_a",
"Statement": [
{
"Action": ["*"],
"Effect": "Allow",
"Resource": ["*"],
"Sid": "admin",
}
],
},
{
"PolicyName": "self_service_generated",
"Statement": [
{
"Action": [
"s3:GetObjectVersionTagging",
"s3:GetObjectAcl",
"s3:ListBucket",
"s3:GetObject",
"s3:GetObjectVersionAcl",
"s3:GetObjectTagging",
"s3:GetObjectVersion",
"s3:ListBucketVersions",
],
"Effect": "Allow",
"Resource": [
"arn:aws:s3:::bucketa",
"arn:aws:s3:::bucketa/*",
],
}
],
},
]
},
)
self.assertEqual(
result,
{
"errors": 0,
"request_created": False,
"request_id": None,
"request_url": None,
"action_results": None,
"extended_request": {
"request_url": "",
"principal": {
"principal_type": "HoneybeeAwsResourceTemplate",
"repository_name": "honeybee_templates",
"resource_identifier": "iamrole/abc.yaml",
"resource_url": "http://example.com/fake_repo/path/to/file.yaml",
},
"justification": None,
"requester_email": "user@github.com",
"approvers": [],
"request_status": "pending",
"cross_account": False,
"arn_url": None,
"admin_auto_approve": False,
"changes": {
"changes": [
{
"principal": {
"principal_type": "HoneybeeAwsResourceTemplate",
"repository_name": "honeybee_templates",
"resource_identifier": "iamrole/abc.yaml",
"resource_url": "http://example.com/fake_repo/path/to/file.yaml",
},
"change_type": "generic_file",
"resources": [],
"version": 3.0,
"status": "not_applied",
"id": None,
"autogenerated": False,
"updated_by": None,
"action": "attach",
"old_policy": "Policies:\n - IncludeAccounts:\n - account_a\n - account_b\n - account_c\n PolicyName: policy_a\n Statement:\n - Action:\n - '*'\n Effect: Allow\n Resource:\n - '*'\n Sid: admin\n",
"encoding": "yaml",
}
]
},
"requester_info": {
"email": "user@github.com",
"extended_info": {
"domain": "",
"userName": "user@github.com",
"name": {
"givenName": "",
"familyName": "",
"fullName": "",
},
"primaryEmail": "user@github.com",
},
"details_url": None,
"photo_url": "https://www.gravatar.com/avatar/1496f7f4fd086e2d0a0460220331e9ec?d=mp",
},
"reviewer": None,
"comments": [],
},
},
)
class TestRequestDetailHandler(AsyncHTTPTestCase):
def get_app(self):
from consoleme.routes import make_app
return make_app(jwt_validator=lambda x: {})
def test_get(self):
# expected = {
# "status": 501,
# "title": "Not Implemented",
# "message": "Get request details",
# }
# headers = {
# config.get("auth.user_header_name"): "user@github.com",
# config.get("auth.groups_header_name"): "groupa,groupb,groupc",
# }
# response = self.fetch(
# "/api/v2/requests/16fd2706-8baf-433b-82eb-8c7fada847da",
# method="GET",
# headers=headers,
# )
# TODO: add unit tests
pass
# self.assertEqual(response.code, 501)
# self.assertDictEqual(json.loads(response.body), expected)
def test_put(self):
# expected = {
# "status": 501,
# "title": "Not Implemented",
# "message": "Update request details",
# }
# headers = {
# config.get("auth.user_header_name"): "user@github.com",
# config.get("auth.groups_header_name"): "groupa,groupb,groupc",
# }
# response = self.fetch(
# "/api/v2/requests/16fd2706-8baf-433b-82eb-8c7fada847da",
# method="PUT",
# headers=headers,
# body="{}",
# )
# self.assertEqual(response.code, 501)
# self.assertDictEqual(json.loads(response.body), expected)
# TODO: add unit tests
pass
| 40.338333 | 298 | 0.392844 | 1,661 | 24,203 | 5.550873 | 0.147502 | 0.024403 | 0.02961 | 0.029501 | 0.850868 | 0.825488 | 0.82321 | 0.786009 | 0.756833 | 0.752278 | 0 | 0.029472 | 0.495311 | 24,203 | 599 | 299 | 40.405676 | 0.725338 | 0.047473 | 0 | 0.61657 | 0 | 0.001927 | 0.25453 | 0.054018 | 0 | 0 | 0 | 0.001669 | 0.044316 | 1 | 0.023121 | false | 0.003854 | 0.025048 | 0 | 0.055877 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
e7e44327781456ee636c17f4dc80fc65628f341e | 22 | py | Python | repl/__init__.py | theophanevie/multi-paxos-log-replication | bce72ab4b94d5991ca7fabab6cbcc787c656ea57 | [
"Apache-2.0"
] | 3 | 2020-12-15T18:42:20.000Z | 2020-12-17T01:01:07.000Z | repl/__init__.py | theophanevie/multi-paxos-log-replication | bce72ab4b94d5991ca7fabab6cbcc787c656ea57 | [
"Apache-2.0"
] | null | null | null | repl/__init__.py | theophanevie/multi-paxos-log-replication | bce72ab4b94d5991ca7fabab6cbcc787c656ea57 | [
"Apache-2.0"
] | null | null | null | from .repl import run
| 11 | 21 | 0.772727 | 4 | 22 | 4.25 | 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 | 1 | 0 | 0 | 6 |
e7ee911213990fb8f3ca918905bd3f20f3530118 | 7,452 | py | Python | tests/app/test_party_service.py | uk-gov-mirror/ONSdigital.ras-secure-message | 741eed651eea47dd1a13c7c93b1b1796584cdf2b | [
"MIT"
] | null | null | null | tests/app/test_party_service.py | uk-gov-mirror/ONSdigital.ras-secure-message | 741eed651eea47dd1a13c7c93b1b1796584cdf2b | [
"MIT"
] | null | null | null | tests/app/test_party_service.py | uk-gov-mirror/ONSdigital.ras-secure-message | 741eed651eea47dd1a13c7c93b1b1796584cdf2b | [
"MIT"
] | null | null | null | import unittest
import requests_mock
from secure_message.application import create_app
from secure_message.services.party_service import PartyService
class PartyBusinessTestHelper:
def __init__(self, status_code, reason, text):
self.status_code = status_code
self.reason = reason
self.text = text
class PartyTestCase(unittest.TestCase):
"""Test cases for party service"""
def setUp(self):
"""setup test environment"""
self.app = create_app()
self.app.testing = True
# Get business details tests
@requests_mock.mock()
def test_get_business_details_single_id_success(self, mock_request):
"""Test get business details with a single uuid"""
business_ids = ["b08c07c3-df28-4283-bb4c-c048729ce372"]
business_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/businesses?id={business_ids[0]}"
mock_request.get(business_data_url, status_code=200, reason="OK", text='{}')
with self.app.app_context():
PartyService().get_business_details(business_ids)
self.assertTrue(mock_request.call_count == 1)
@requests_mock.mock()
def test_get_business_details_multiple_id_success(self, mock_request):
"""Test get business details with a multiple uuids at once"""
business_ids = ["c614e64e-d981-4eba-b016-d9822f09a4fb", "c614e64e-d981-4eba-b016-d9822f09a4f2"]
business_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/businesses?id={business_ids[0]}&id={business_ids[1]}"
mock_request.get(business_data_url, status_code=200, reason="OK", text='{}')
with self.app.app_context():
PartyService().get_business_details(business_ids)
self.assertTrue(mock_request.call_count == 1)
@requests_mock.mock()
def test_get_business_details_client_error(self, mock_request):
"""Test get business details fails and returns an empty list when a non-uuid is sent"""
business_ids = ["not_a_uuid"]
business_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/businesses?id={business_ids[0]}"
mock_request.get(business_data_url, status_code=400, reason="Invalid uuid", text='{"error": "text"}')
with self.app.app_context():
result = PartyService().get_business_details(business_ids)
self.assertEqual(result, [])
self.assertTrue(mock_request.call_count == 1)
@requests_mock.mock()
def test_get_business_details_unauthorised_failure(self, mock_request):
"""Test get business details fails and returns and empty list when the client is unauthorised to access the party service"""
business_ids = ["1234"]
business_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/businesses?id={business_ids[0]}"
mock_request.get(business_data_url, status_code=401, reason="unauthorised", text='{}')
with self.app.app_context():
result_data = PartyService().get_business_details(business_ids)
self.assertEqual(result_data, [])
self.assertTrue(mock_request.call_count == 1)
# Get user (singular) details tests
@requests_mock.mock()
def test_get_user_details_success(self, mock_request):
"""Test get user details with a single uuid"""
user_id = "c614e64e-d981-4eba-b016-d9822f09a4fb"
user_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/respondents?id={user_id}"
mock_request.get(user_data_url, status_code=200, reason="OK", text='{}')
with self.app.app_context():
PartyService().get_user_details(user_id)
self.assertTrue(mock_request.call_count == 1)
@requests_mock.mock()
def test_get_user_details_client_error(self, mock_request):
"""Test get user details fails and returns an empty list when a non-uuid is sent"""
user_id = "not_a_uuid"
user_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/respondents?id={user_id}"
mock_request.get(user_data_url, status_code=400, reason="Invalid uuid", text='{}')
with self.app.app_context():
result = PartyService().get_user_details(user_id)
self.assertEqual(result, [])
self.assertTrue(mock_request.call_count == 1)
@requests_mock.mock()
def test_get_user_details_unauthorised_failure(self, mock_request):
"""Test get user details fails and returns and empty list when the client is unauthorised to access the party service"""
user_ids = ['NotBres']
user_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/respondents?id={user_ids[0]}"
mock_request.get(user_data_url, status_code=401, reason="unauthorised", text='{}')
with self.app.app_context():
result_data = PartyService().get_users_details(user_ids)
self.assertEqual(result_data, [])
self.assertTrue(mock_request.call_count == 1)
# Get users (plural) details tests
@requests_mock.mock()
def test_get_users_details_single_id_success(self, mock_request):
"""Test get users details sends a request and receives back data"""
user_ids = ["c614e64e-d981-4eba-b016-d9822f09a4fb"]
user_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/respondents?id={user_ids[0]}"
mock_request.get(user_data_url, status_code=200, reason="OK", text='{}')
with self.app.app_context():
PartyService().get_users_details(user_ids)
self.assertTrue(mock_request.call_count == 1)
@requests_mock.mock()
def test_get_users_details_multiple_id_success(self, mock_request):
"""Test get users details with a multiple uuids at once"""
user_ids = ["c614e64e-d981-4eba-b016-d9822f09a4fb", "c614e64e-d981-4eba-b016-d9822f09a4f2"]
user_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/respondents?id={user_ids[0]}&id={user_ids[1]}"
mock_request.get(user_data_url, status_code=200, reason="OK", text='{}')
with self.app.app_context():
PartyService().get_users_details(user_ids)
self.assertTrue(mock_request.call_count == 1)
@requests_mock.mock()
def test_get_users_details_client_error(self, mock_request):
"""Test get users details fails and returns an empty list when a non-uuid is sent"""
user_ids = ["not_a_uuid"]
user_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/respondents?id={user_ids[0]}"
mock_request.get(user_data_url, status_code=400, reason="Invalid uuid", text='{}')
with self.app.app_context():
result = PartyService().get_users_details(user_ids)
self.assertEqual(result, [])
self.assertTrue(mock_request.call_count == 1)
@requests_mock.mock()
def test_get_users_details_unauthorised_failure(self, mock_request):
"""Test get users details fails and returns and empty list when the client is unauthorised to access the party service"""
user_ids = ['1234', '4567']
user_data_url = f"{self.app.config['PARTY_URL']}/party-api/v1/respondents?id={user_ids[0]}&id={user_ids[1]}"
mock_request.get(user_data_url, status_code=401, reason="unauthorised", text='{}')
with self.app.app_context():
result_data = PartyService().get_users_details(user_ids)
self.assertEqual(result_data, [])
self.assertTrue(mock_request.call_count == 1)
if __name__ == '__main__':
unittest.main()
| 46.575 | 132 | 0.689748 | 1,015 | 7,452 | 4.787192 | 0.10936 | 0.074707 | 0.031694 | 0.043013 | 0.88084 | 0.874871 | 0.873431 | 0.848529 | 0.801605 | 0.748096 | 0 | 0.035556 | 0.184783 | 7,452 | 159 | 133 | 46.867925 | 0.76428 | 0.133119 | 0 | 0.587156 | 0 | 0.100917 | 0.200094 | 0.172559 | 0 | 0 | 0 | 0 | 0.155963 | 1 | 0.119266 | false | 0 | 0.036697 | 0 | 0.174312 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
f031026434a5ff6154be5835f7f15985378c5646 | 122 | py | Python | djangotables/tables/__init__.py | AgeuMatheus/djangotables | bbd7116abc5ce8030f4212d91b34215630b7198d | [
"MIT"
] | 3 | 2019-09-26T11:34:44.000Z | 2020-05-19T15:42:36.000Z | djangotables/tables/__init__.py | AgeuMatheus/djangotables | bbd7116abc5ce8030f4212d91b34215630b7198d | [
"MIT"
] | null | null | null | djangotables/tables/__init__.py | AgeuMatheus/djangotables | bbd7116abc5ce8030f4212d91b34215630b7198d | [
"MIT"
] | null | null | null | from djangotables.tables.table import Table
from djangotables.tables.fields.field import (
TextField,
TableField
) | 24.4 | 46 | 0.786885 | 14 | 122 | 6.857143 | 0.642857 | 0.333333 | 0.458333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147541 | 122 | 5 | 47 | 24.4 | 0.923077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
f03ecdb4e5bbb0bfd357b0adbe5f74bada63e272 | 7,948 | py | Python | datawinners/feeds/tests/test_views.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | datawinners/feeds/tests/test_views.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | datawinners/feeds/tests/test_views.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | import types
from unittest import TestCase
import urllib2
from couchdb.client import Database
from django.http import HttpRequest
import jsonpickle
from mock import Mock, patch
from mangrove.errors.MangroveException import FormModelDoesNotExistsException
from mangrove.datastore.database import DatabaseManager
http_basic_patch = patch('datawinners.common.authorization.httpbasic', lambda x: x)
http_basic_patch.start()
datasender_patch = patch('datawinners.common.authorization.is_not_datasender', lambda x: x)
datasender_patch.start()
from datawinners.feeds.views import feed_entries, stream_feeds
class TestFeedView(TestCase):
def test_error_when_form_code_is_not_present(self):
request = HttpRequest()
request.GET['start_date'] = urllib2.quote("21-12-2001 12:12:57".encode("utf-8"))
request.GET['end_date'] = urllib2.quote("21-12-2002 12:12:57".encode("utf-8"))
request.user = 'someuser'
with patch('datawinners.feeds.views.get_form_model_by_code') as get_form_model_by_code:
with patch('datawinners.feeds.views.get_database_manager') as get_db_manager:
get_db_manager.return_value = Mock(spec=DatabaseManager)
get_form_model_by_code.side_effect = FormModelDoesNotExistsException(None)
response = feed_entries(request, None)
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 101)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'Invalid form code provided')
def test_error_when_form_code_is_empty(self):
request = HttpRequest()
request.GET['start_date'] = urllib2.quote("21-12-2001 12:12:57".encode("utf-8"))
request.GET['end_date'] = urllib2.quote("21-12-2002 12:12:57".encode("utf-8"))
request.user = 'someuser'
with patch('datawinners.feeds.views.get_form_model_by_code') as get_form_model_by_code:
with patch('datawinners.feeds.views.get_database_manager') as get_db_manager:
get_db_manager.return_value = Mock(spec=DatabaseManager)
get_form_model_by_code.side_effect = FormModelDoesNotExistsException(' ')
response = feed_entries(request, " ")
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 101)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'Invalid form code provided')
def test_error_when_form_code_invalid(self):
request = HttpRequest()
request.GET['start_date'] = urllib2.quote("21-12-2001 12:12:57".encode("utf-8"))
request.GET['end_date'] = urllib2.quote("21-12-2002 12:12:57".encode("utf-8"))
request.user = 'someuser'
with patch('datawinners.feeds.views.get_form_model_by_code') as get_form_model_by_code:
with patch('datawinners.feeds.views.get_database_manager') as get_db_manager:
get_db_manager.return_value = Mock(spec=DatabaseManager)
get_form_model_by_code.side_effect = FormModelDoesNotExistsException('non-existent-form-code')
response = feed_entries(request, "non-existent-form-code")
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 101)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'Invalid form code provided')
def test_error_when_start_date_not_provided(self):
request = HttpRequest()
response = feed_entries(request, "cli001")
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 102)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'Invalid Start Date provided')
def test_error_when_start_date_is_empty(self):
request = HttpRequest()
request.GET['start_date'] = " "
response = feed_entries(request, "cli001")
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 102)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'Invalid Start Date provided')
def test_error_when_start_date_is_not_in_correct_format(self):
request = HttpRequest()
request.GET['start_date'] = urllib2.quote("21/12/2001".encode("utf-8"))
response = feed_entries(request, "cli001")
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 102)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'Invalid Start Date provided')
def test_error_when_end_date_not_provided(self):
request = HttpRequest()
request.GET['start_date'] = urllib2.quote("21-12-2001 12:12:57".encode("utf-8"))
response = feed_entries(request, "cli001")
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 102)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'Invalid End Date provided')
def test_error_when_end_date_is_empty(self):
request = HttpRequest()
request.GET['start_date'] = urllib2.quote("21-12-2001 12:12:57".encode("utf-8"))
request.GET['end_date'] = " "
response = feed_entries(request, "cli001")
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 102)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'Invalid End Date provided')
def test_error_when_end_date_is_not_in_correct_format(self):
request = HttpRequest()
request.GET['start_date'] = urllib2.quote("21-12-2001 12:12:57".encode("utf-8"))
request.GET['end_date'] = urllib2.quote("21-12-2001".encode("utf-8"))
response = feed_entries(request, "cli001")
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 102)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'Invalid End Date provided')
def test_error_when_end_date_is_less_than_start_date(self):
request = HttpRequest()
request.GET['start_date'] = urllib2.quote("21-12-2001 12:12:57".encode("utf-8"))
request.GET['end_date'] = urllib2.quote("21-12-2001 12:12:56".encode("utf-8"))
response = feed_entries(request, "cli001")
self.assertEqual(400, response.status_code)
response_content = jsonpickle.decode(response.content)
self.assertEquals(response_content.get('ERROR_CODE'), 103)
self.assertEquals(response_content.get('ERROR_MESSAGE'), 'End Date provided is less than Start Date')
def test_stream_in_feeds(self):
feed_db = Mock(spec=DatabaseManager)
feed_db.database = Mock(Database)
feed_db.database.iterview.return_value = [{'value': {'first': 'first'}}, {'value': {'second': 'second'}}]
response = stream_feeds(feed_db, '', '')
expected = '[{"first": "first"},{"second": "second"}]'
response_str = ''
for r in list(response):
response_str += r
self.assertEquals(response_str, expected)
self.assertTrue(isinstance(response, types.GeneratorType))
http_basic_patch.stop()
datasender_patch.stop() | 51.61039 | 113 | 0.695773 | 973 | 7,948 | 5.437821 | 0.112025 | 0.1134 | 0.095256 | 0.11718 | 0.816292 | 0.794368 | 0.786052 | 0.770743 | 0.768664 | 0.768664 | 0 | 0.043001 | 0.186588 | 7,948 | 154 | 114 | 51.61039 | 0.775406 | 0 | 0 | 0.601563 | 0 | 0 | 0.188326 | 0.051076 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.085938 | false | 0 | 0.078125 | 0 | 0.171875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
f0471c9e817619586191d4b46f065390ed7e2f7b | 7,725 | py | Python | tests/attest.py | pprindeville/python-appattest | 2d6b47b7892231cf1da74e69be9cf2d44a4f6e6c | [
"MIT"
] | null | null | null | tests/attest.py | pprindeville/python-appattest | 2d6b47b7892231cf1da74e69be9cf2d44a4f6e6c | [
"MIT"
] | null | null | null | tests/attest.py | pprindeville/python-appattest | 2d6b47b7892231cf1da74e69be9cf2d44a4f6e6c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os, sys
import base64
sys.path.insert(1, os.path.dirname(sys.path[0]))
from cryptography.hazmat.primitives import serialization
import appattest
appattest.appattest.appId = b'com.truepic.appattestdemo'
appattest.appattest.teamId = b'XKXEK7P8ZU'
nonce = base64.b64decode(b'/seDK6/n6KGrSKyfuTnF+YxSZn/p3gjX9Mjq3vl3R1k=')
keyId = base64.b64decode(b'ogPhWIqzauL/w2JJHClI310D8+0EjQxYpZyeCFckNTw=')
attest = base64.b64decode(
b'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'
)
def main() -> None:
(pk, receipt) = appattest.verifyAppAttestAttestation(attest, nonce, keyId)
print(pk.public_bytes(
serialization.Encoding.PEM,
serialization.PublicFormat.SubjectPublicKeyInfo).decode())
print(receipt)
if __name__ == "__main__":
main()
| 234.090909 | 6,975 | 0.961812 | 188 | 7,725 | 39.473404 | 0.803191 | 0.007277 | 0.006468 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091993 | 0.012168 | 7,725 | 32 | 6,976 | 241.40625 | 0.880487 | 0.002718 | 0 | 0 | 0 | 0.05 | 0.922228 | 0.919891 | 0 | 1 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.2 | 0 | 0.25 | 0.1 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
b2d4c44a0540e679ecd8e8c851b926a9d7d07a5a | 5,223 | py | Python | unit_test/test_sram_traffic_ws_usystolic.py | mfkiwl/uSystolic-Sim | ed03101108d299557ff215239caa1b51783882f6 | [
"MIT"
] | 18 | 2021-04-08T10:35:31.000Z | 2022-03-03T14:29:06.000Z | unit_test/test_sram_traffic_ws_usystolic.py | mfkiwl/uSystolic-Sim | ed03101108d299557ff215239caa1b51783882f6 | [
"MIT"
] | 1 | 2021-06-29T10:55:35.000Z | 2021-10-08T21:04:54.000Z | unit_test/test_sram_traffic_ws_usystolic.py | mfkiwl/uSystolic-Sim | ed03101108d299557ff215239caa1b51783882f6 | [
"MIT"
] | 4 | 2021-04-08T10:35:32.000Z | 2021-12-11T13:45:24.000Z | from simArch import sram_traffic_ws
from simArch import sram_traffic_ws_usystolic
import os
import time
dimension_rows=12 # row size of systolic array
dimension_cols=14 # column size of systolic array
ifmap_h=224 # input feature map height
ifmap_w=224 # input feature map width
filt_h=11 # weight height
filt_w=11 # weight width
num_channels=3 # input channel count
stride_h=4 # stride, assuming identical in row and column dimension
stride_w=4 # stride, assuming identical in row and column dimension
num_filt=8 # filter count, also output channel count
ifmap_base=0 # input feature map base addr
filt_base=1000000 # weight base addr
ofmap_base=2000000 # output feature map base addr
mac_cycles=1 # cycle count per mul
wgt_bw_opt=False # optimize the bandwidth of input and output to match that of weight
print()
if os.path.exists("sram_read_ws_usystolic_opt.csv"):
os.remove("sram_read_ws_usystolic_opt.csv")
else:
print("sram_read_ws_usystolic_opt.csv does not exist")
if os.path.exists("sram_write_ws_usystolic_opt.csv"):
os.remove("sram_write_ws_usystolic_opt.csv")
else:
print("sram_write_ws_usystolic_opt.csv does not exist")
start = time.time()
cycle, util = sram_traffic_ws_usystolic.sram_traffic(
dimension_rows=dimension_rows, # row size of systolic array
dimension_cols=dimension_cols, # column size of systolic array
ifmap_h=ifmap_h, # input feature map height
ifmap_w=ifmap_w, # input feature map width
filt_h=filt_h, # weight height
filt_w=filt_w, # weight width
num_channels=num_channels, # input channel count
stride_h=stride_h, # stride, assuming identical in row and column dimension
stride_w=stride_w, # stride, assuming identical in row and column dimension
num_filt=num_filt, # filter count, also output channel count
ofmap_base=ofmap_base, # output feature map base addr
filt_base=filt_base, # weight base addr
ifmap_base=ifmap_base, # input feature map base addr
mac_cycles=mac_cycles, # cycle count per mul
wgt_bw_opt=True, # optimize the bandwidth of input and output to match that of weight
sram_read_trace_file="sram_read_ws_usystolic_opt.csv",
sram_write_trace_file="sram_write_ws_usystolic_opt.csv")
end = time.time()
print("run time: ", end - start, " sec")
print(cycle, " cycles", util, "% MAC utilization")
print()
if os.path.exists("sram_read_ws_usystolic_no_opt.csv"):
os.remove("sram_read_ws_usystolic_no_opt.csv")
else:
print("sram_read_ws_usystolic_no_opt.csv does not exist")
if os.path.exists("sram_write_ws_usystolic_no_opt.csv"):
os.remove("sram_write_ws_usystolic_no_opt.csv")
else:
print("sram_write_ws_usystolic_no_opt.csv does not exist")
start = time.time()
cycle, util = sram_traffic_ws_usystolic.sram_traffic(
dimension_rows=dimension_rows, # row size of systolic array
dimension_cols=dimension_cols, # column size of systolic array
ifmap_h=ifmap_h, # input feature map height
ifmap_w=ifmap_w, # input feature map width
filt_h=filt_h, # weight height
filt_w=filt_w, # weight width
num_channels=num_channels, # input channel count
stride_h=stride_h, # stride, assuming identical in row and column dimension
stride_w=stride_w, # stride, assuming identical in row and column dimension
num_filt=num_filt, # filter count, also output channel count
ofmap_base=ofmap_base, # output feature map base addr
filt_base=filt_base, # weight base addr
ifmap_base=ifmap_base, # input feature map base addr
mac_cycles=mac_cycles, # cycle count per mul
wgt_bw_opt=False, # optimize the bandwidth of input and output to match that of weight
sram_read_trace_file="sram_read_ws_usystolic_no_opt.csv",
sram_write_trace_file="sram_write_ws_usystolic_no_opt.csv")
end = time.time()
print("run time: ", end - start, " sec")
print(cycle, " cycles", util, "% MAC utilization")
print()
if os.path.exists("sram_read_ws.csv"):
os.remove("sram_read_ws.csv")
else:
print("sram_read_ws.csv does not exist")
if os.path.exists("sram_write_ws.csv"):
os.remove("sram_write_ws.csv")
else:
print("sram_write_ws.csv does not exist")
start = time.time()
cycle, util = sram_traffic_ws.sram_traffic(
dimension_rows=dimension_rows, # row size of systolic array
dimension_cols=dimension_cols, # column size of systolic array
ifmap_h=ifmap_h, # input feature map height
ifmap_w=ifmap_w, # input feature map width
filt_h=filt_h, # weight height
filt_w=filt_w, # weight width
num_channels=num_channels, # input channel count
strides=stride_h, # stride, assuming identical in row and column dimension
num_filt=num_filt, # filter count, also output channel count
ofmap_base=ofmap_base, # output feature map base addr
filt_base=filt_base, # weight base addr
ifmap_base=ifmap_base, # input feature map base addr
sram_read_trace_file="sram_read_ws.csv",
sram_write_trace_file="sram_write_ws.csv")
end = time.time()
print("run time: ", end - start, " sec")
print(cycle, " cycles", util, "% MAC utilization")
| 42.811475 | 94 | 0.736358 | 816 | 5,223 | 4.442402 | 0.112745 | 0.057655 | 0.049655 | 0.041931 | 0.957517 | 0.947862 | 0.868966 | 0.842207 | 0.755034 | 0.741517 | 0 | 0.007972 | 0.183419 | 5,223 | 121 | 95 | 43.165289 | 0.84197 | 0.327972 | 0 | 0.568807 | 0 | 0 | 0.245655 | 0.14832 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.036697 | 0 | 0.036697 | 0.137615 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
b2e6b092032826ac02d91d1940288eea14e867ea | 36,728 | py | Python | gdv_scripts/plotting.py | frontiersi/gdv-tool | 84976bf32b27737a66413870fa27a7efe69d19a5 | [
"Apache-2.0"
] | null | null | null | gdv_scripts/plotting.py | frontiersi/gdv-tool | 84976bf32b27737a66413870fa27a7efe69d19a5 | [
"Apache-2.0"
] | null | null | null | gdv_scripts/plotting.py | frontiersi/gdv-tool | 84976bf32b27737a66413870fa27a7efe69d19a5 | [
"Apache-2.0"
] | null | null | null | # scripts for plotting various figures
import warnings
import numpy as np
import pandas as pd
import ruptures as rpt
import matplotlib.pyplot as plt
import matplotlib.colors as clrs
from itertools import cycle
from matplotlib.ticker import FormatStrFormatter
from mpl_toolkits.axes_grid1 import make_axes_locatable
# use ggplot style
plt.style.use('ggplot')
## HELPER FUNCTIONS ##
def normalise_values(da, stretch_min, stretch_max):
try:
vmin, vmax = da.quantile([stretch_min, stretch_max]).values
norm = clrs.Normalize(vmin=vmin, vmax=vmax, clip=True)
return norm
except Exception as e:
print('Error occurred during normalise_values of type {0}. Stopping.'.format(e))
raise e
## MAIN FUNCTIONS ##
# plot summary stats for raw vegetation and moisture index data
def plot_raw_idx_stats(ds, fignum):
if ds and fignum:
# tell user
print('Generating summary statistics and graphs, please hold.')
with warnings.catch_warnings():
warnings.simplefilter("ignore", category=RuntimeWarning)
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# get annual means of veg and mst indices for wet and dry seasons
ds_wet_means = ds.where(ds['time.month'] < 6).groupby('time.year').mean(...)
ds_dry_means = ds.where(ds['time.month'] > 6).groupby('time.year').mean(...)
# generate fig and axes
width = 0.35
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True)
# get years and list of positions
x = ds.groupby('time.year').mean()['year'].values
x_pos = np.arange(len(ds_wet_means.year.values))
# get vegetation data
wet_means = ds_wet_means['veg_idx'].data
dry_means = ds_dry_means['veg_idx'].data
# vegetation plot
axes[0].bar(x_pos, wet_means, width, label='Wet', color='forestgreen', align='center', alpha=0.75)
axes[0].bar(x_pos + width, dry_means, width, label='Dry', color='limegreen', align='center', alpha=0.75)
axes[0].axhline(np.nanmean(wet_means), label='Wet Mean', linestyle='--', color='red')
axes[0].axhline(np.nanmean(dry_means), label='Dry Mean', linestyle='--', color='orange')
axes[0].set_title('Annual Vegetation Means for Wet/Dry Seasons')
axes[0].set_xlabel('Year')
axes[0].set_ylabel('Vegetation Index')
axes[0].set_ylim(np.nanmin(dry_means) - (np.nanmin(dry_means) * 0.1),
np.nanmax(wet_means) + (np.nanmax(wet_means) * 0.1))
axes[0].set_xticks(x_pos)
axes[0].set_xticklabels(x, rotation=90)
axes[0].legend(loc='best')
# get moisture data
wet_means = ds_wet_means['mst_idx'].data
dry_means = ds_dry_means['mst_idx'].data
# moisture plot
axes[1].bar(x_pos, wet_means, width, label='Wet', color='royalblue', align='center', alpha=0.75)
axes[1].bar(x_pos + width, dry_means, width, label='Dry', color='deepskyblue', align='center', alpha=0.75)
axes[1].axhline(np.nanmean(wet_means), label='Wet Mean', linestyle='--', color='red')
axes[1].axhline(np.nanmean(dry_means), label='Dry Mean', linestyle='--', color='orange')
axes[1].set_title('Annual Moisture Means for Wet/Dry Seasons')
axes[1].set_xlabel('Year')
axes[1].set_ylabel('Moisture Index')
axes[1].set_ylim(np.nanmin(dry_means) - (np.nanmin(dry_means) * 0.1),
np.nanmax(wet_means) + (np.nanmax(wet_means) * 0.1))
axes[1].set_xticks(x_pos)
axes[1].set_xticklabels(x, rotation=90)
axes[1].legend(loc='best')
return fig, axes
else:
print('Did not provide a valid dataset.')
# plot raw vegetation and moisture data
def plot_raw_idx(ds, stretch_min, stretch_max):
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# num fo columns
ncols = 4
# get aspect and size
try:
aspect = ds.dims['x'] / ds.dims['y']
size = 3 / aspect
except:
aspect = 1
size = 3
# create vegetation indices figure
norm = normalise_values(da=ds['veg_idx'], stretch_min=stretch_min, stretch_max=stretch_max)
fig1 = ds['veg_idx'].plot.imshow(col='time', col_wrap=4, size=size, aspect=aspect, xticks=[], yticks=[],
norm=norm, cmap='RdYlGn', add_labels=False, add_colorbar=False)
fig1.set_xlabels('')
fig1.set_ylabels('')
fig1.fig.suptitle(t='Annual Median Vegetation Index for Wet (DJF) and Dry (SON) Seasons',
fontsize='x-large', fontweight='bold', y=1.015)
# create moisture indices figure
norm = normalise_values(da=ds['mst_idx'], stretch_min=stretch_min, stretch_max=stretch_max)
fig2 = ds['mst_idx'].plot.imshow(col='time', col_wrap=4, size=size, aspect=aspect, xticks=[], yticks=[],
norm=norm, cmap='RdYlBu', add_labels=False, add_colorbar=False)
fig2.set_xlabels('')
fig2.set_ylabels('')
fig2.fig.suptitle(t='Annual Median Moisture Index for Wet (DJF) and Dry (SON) Seasons',
fontsize='x-large', fontweight='bold', y=1.015)
return fig1, fig2
# plot vegetation and moisture medians all time
def plot_median_alltime_idx_dry(ds, stretch_min, stretch_max, fignum):
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# generate fig and axes
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True)
# plot vegetation median all time
norm = normalise_values(da=ds['veg_idx'], stretch_min=stretch_min, stretch_max=stretch_max)
im_veg = ds['veg_idx'].plot(ax=axes[0], xticks=[], yticks=[], add_labels=False, robust=False, norm=norm, cmap='RdYlGn', add_colorbar=False)
axes[0].set_title('All-time Vegetation Median for Dry Season', fontsize=12)
axes[0].set_aspect('equal')
cax = make_axes_locatable(axes[0]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_veg, cax=cax, orientation='horizontal')
# plot moisture median all time
norm = normalise_values(da=ds['mst_idx'], stretch_min=stretch_min, stretch_max=stretch_max)
im_mst = ds['mst_idx'].plot(ax=axes[1], xticks=[], yticks=[], add_labels=False, robust=False, norm=norm, cmap='RdYlBu', add_colorbar=False)
axes[1].set_title('All-time Moisture Median for Dry Season', fontsize=12)
axes[1].set_aspect('equal')
cax = make_axes_locatable(axes[1]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_mst, cax=cax, orientation='horizontal')
return fig, axes
# plot masks of greennest, moistest vegetation and moisture medians all time
def plot_mask_alltime_idx_dry(mask_green, mask_moist, fignum):
# basic checks
if not mask_green.any() or not mask_moist.any():
print('No data arrays provided. Please ensure all cells above have been run.')
return None, None
# for some reason matplot renders binary data weird... convert 0 to nan temp here
mask_green = mask_green.where(mask_green == 1)
mask_moist = mask_moist.where(mask_moist == 1)
# generate fig and axes and cbar classes
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True)
class_bins = np.array([1])
cmap_veg = clrs.ListedColormap(['seagreen'])
cmap_mst = clrs.ListedColormap(['royalblue'])
# plot vegetation median all time mask
im_veg = mask_green.plot(ax=axes[0], xticks=[], yticks=[], add_labels=False, robust=False, cmap=cmap_veg, add_colorbar=False)
axes[0].set_title('All-time Greenest Pixels (Dry)', fontsize=12)
axes[0].set_aspect('equal')
cax = make_axes_locatable(axes[0]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_veg, cax=cax, orientation='horizontal', ticks=class_bins)
# plot moisture median all time mask
im_mst = mask_moist.plot(ax=axes[1], xticks=[], yticks=[], add_labels=False, robust=False, cmap=cmap_mst, add_colorbar=False)
axes[1].set_title('All-time Moistest Pixels Median (Dry)', fontsize=12)
axes[1].set_aspect('equal')
cax = make_axes_locatable(axes[1]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_mst, cax=cax, orientation='horizontal', ticks=class_bins)
return fig, axes
# plot vegetation and moisture orthogonal polynomial coeff slopes
def plot_opc_slope_idx_dry(slope_veg, slope_mst, fignum):
# basic checks
if not slope_veg.any() or not slope_mst.any():
print('No data arrays provided. Please ensure all cells above have been run.')
return None, None
# generate fig and axes
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True)
# plot vegetation median all time
im_veg = slope_veg.plot(ax=axes[0], xticks=[], yticks=[], add_labels=False, robust=True, cmap='twilight_shifted_r', add_colorbar=False)
axes[0].set_title('All-time Vegetation Trend (Dry)', fontsize=12)
axes[0].set_aspect('equal')
cax = make_axes_locatable(axes[0]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_veg, cax=cax, orientation='horizontal')
# plot moisture median all time
im_mst = slope_mst.plot(ax=axes[1], xticks=[], yticks=[], add_labels=False, robust=True, cmap='twilight_shifted_r', add_colorbar=False)
axes[1].set_title('All-time Moisture Trend (Dry)', fontsize=12)
axes[1].set_aspect('equal')
cax = make_axes_locatable(axes[1]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_mst, cax=cax, orientation='horizontal')
return fig, axes
# plot masks of steadiest vegetation and moisture opc slopes
def plot_mask_steady_slope_dry(mask_steady_veg, mask_steady_mst, fignum):
# basic checks
if not mask_steady_veg.any() or not mask_steady_mst.any():
print('No data arrays provided. Please ensure all cells above have been run.')
return None, None
# generate fig and axes and cbar classes and properties
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True)
class_bins = np.array([0, 1])
cmap = clrs.ListedColormap(['whitesmoke', 'black'])
# plot steady veg slope median all time mask
im_veg = mask_steady_veg.plot(ax=axes[0], xticks=[], yticks=[], add_labels=False, robust=False, cmap=cmap, add_colorbar=False)
axes[0].set_title('Steadiest Vegetation Pixels (Dry)', fontsize=12)
axes[0].set_aspect('equal')
cax = make_axes_locatable(axes[0]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_veg, cax=cax, orientation='horizontal', ticks=class_bins)
# plot moisture median all time mask
im_mst = mask_steady_mst.plot(ax=axes[1], xticks=[], yticks=[], add_labels=False, robust=False, cmap=cmap, add_colorbar=False)
axes[1].set_title('Steadiest Moisture Pixels (Dry)', fontsize=12)
axes[1].set_aspect('equal')
cax = make_axes_locatable(axes[1]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_mst, cax=cax, orientation='horizontal', ticks=class_bins)
return fig, axes
# plot masks for vegetation and moisture invariant targets
def plot_invariant_targets_dry(invariant_targets_veg, invariant_targets_mst, fignum):
# basic checks
if not invariant_targets_veg.any() or not invariant_targets_mst.any():
print('No data arrays provided. Please ensure all cells above have been run.')
return None, None
# get number of sites for title
try:
num_sites_veg, num_sites_mst = int(invariant_targets_veg.sum()), int(invariant_targets_mst.sum())
except:
num_sites_veg, num_sites_mst = 0, 0
# for some reason matplot renders binary data weird... convert 0 to nan temp here
invariant_targets_veg = invariant_targets_veg.where(invariant_targets_veg == 1)
invariant_targets_mst = invariant_targets_mst.where(invariant_targets_mst == 1)
# generate fig and axes and cbar classes and properties
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True)
class_bins = np.array([1])
cmap_veg = clrs.ListedColormap(['seagreen'])
cmap_mst = clrs.ListedColormap(['royalblue'])
# plot steady veg slope median all time mask
im_veg = invariant_targets_veg.plot(ax=axes[0], xticks=[], yticks=[], add_labels=False, robust=False, cmap=cmap_veg, add_colorbar=False)
axes[0].set_title('All ({0}) Invariant Vegetation Targets (Dry)'.format(num_sites_veg), fontsize=12)
axes[0].set_aspect('equal')
cax = make_axes_locatable(axes[0]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_veg, cax=cax, orientation='horizontal', ticks=class_bins)
# plot moisture median all time mask
im_mst = invariant_targets_mst.plot(ax=axes[1], xticks=[], yticks=[], add_labels=False, robust=False, cmap=cmap_mst, add_colorbar=False)
axes[1].set_title('All ({0}) Invariant Moisture Targets (Dry)'.format(num_sites_mst), fontsize=12)
axes[1].set_aspect('equal')
cax = make_axes_locatable(axes[1]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_mst, cax=cax, orientation='horizontal', ticks=class_bins)
return fig, axes
# plot reduced vegetation and moisture invariant targets
def plot_reduced_invariant_targets_dry(invariant_targets_veg, invariant_targets_mst, fignum):
# basic checks
if not invariant_targets_veg.any() or not invariant_targets_mst.any():
print('No data arrays provided. Please ensure all cells above have been run.')
return None, None
# for some reason matplot renders binary data weird... convert 0 to nan temp here
invariant_targets_veg = invariant_targets_veg.where(invariant_targets_veg == 1)
invariant_targets_mst = invariant_targets_mst.where(invariant_targets_mst == 1)
# get number of sites for title
try:
num_sites_veg, num_sites_mst = int(invariant_targets_veg.sum()), int(invariant_targets_mst.sum())
except:
num_sites_veg, num_sites_mst = 0, 0
# generate fig and axes and cbar classes and properties
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True)
class_bins = np.array([1])
cmap_veg = clrs.ListedColormap(['seagreen'])
cmap_mst = clrs.ListedColormap(['royalblue'])
# plot steady veg slope median all time mask
im_veg = invariant_targets_veg.plot(ax=axes[0], xticks=[], yticks=[], add_labels=False, robust=False, cmap=cmap_veg, add_colorbar=False)
axes[0].set_title('Reduced ({0}) Vegetation Targets (Dry)'.format(num_sites_veg), fontsize=12)
axes[0].set_aspect('equal')
cax = make_axes_locatable(axes[0]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_veg, cax=cax, orientation='horizontal', ticks=class_bins)
# plot moisture median all time mask
im_mst = invariant_targets_mst.plot(ax=axes[1], xticks=[], yticks=[], add_labels=False, robust=False, cmap=cmap_mst, add_colorbar=False)
axes[1].set_title('Reduced ({0}) Moisture Targets (Dry)'.format(num_sites_mst), fontsize=12)
axes[1].set_aspect('equal')
cax = make_axes_locatable(axes[1]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_mst, cax=cax, orientation='horizontal', ticks=class_bins)
return fig, axes
# plot standardised vegetation and moisture data
def plot_standard_idx(ds, stretch_min, stretch_max):
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# num fo columns
ncols = 4
# get aspect and size
try:
aspect = ds.dims['x'] / ds.dims['y']
size = 3 / aspect
except:
aspect = 1
size = 3
# create vegetation indices figure
norm = normalise_values(da=ds['veg_idx'], stretch_min=stretch_min, stretch_max=stretch_max)
fig1 = ds['veg_idx'].plot.imshow(col='time', col_wrap=4, size=size, aspect=aspect, xticks=[], yticks=[],
norm=norm, cmap='RdYlGn', add_labels=False, add_colorbar=False)
fig1.set_xlabels('')
fig1.set_ylabels('')
fig1.fig.suptitle(t='Standardised Vegetation Index for Wet (DJF) and Dry (SON) Seasons',
fontsize='x-large', fontweight='bold', y=1.015)
# create moisture indices figure
norm = normalise_values(da=ds['mst_idx'], stretch_min=stretch_min, stretch_max=stretch_max)
fig2 = ds['mst_idx'].plot.imshow(col='time', col_wrap=4, size=size, aspect=aspect, xticks=[], yticks=[],
norm=norm, cmap='RdYlBu', add_labels=False, add_colorbar=False)
fig2.set_xlabels('')
fig2.set_ylabels('')
fig2.fig.suptitle(t='Standardised Moisture Index for Wet (DJF) and Dry (SON) Seasons',
fontsize='x-large', fontweight='bold', y=1.015)
return fig1, fig2
# plot raw vegetation and moisture stability data
def plot_raw_stability_idx(ds):
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# num fo columns
ncols = 5
# get aspect and size
try:
aspect = ds.dims['x'] / ds.dims['y']
size = 2.4 / aspect
except:
aspect = 1
size = 2.4
# create vegetation indices figure
fig1 = ds['veg_stb'].plot.imshow(col='time', col_wrap=5, size=size, aspect=aspect, xticks=[], yticks=[],
robust=False, cmap='seismic', add_labels=False, add_colorbar=False)
fig1.set_xlabels('')
fig1.set_ylabels('')
fig1.fig.suptitle(t='Vegetation Stability between Wet (DJF) and Dry (SON) Seasons',
fontsize='x-large', fontweight='bold', y=1.015)
# create moisture indices figure
fig2 = ds['mst_stb'].plot.imshow(col='time', col_wrap=5, size=size, aspect=aspect, xticks=[], yticks=[],
robust=False, cmap='seismic', add_labels=False, add_colorbar=False)
fig2.set_xlabels('')
fig2.set_ylabels('')
fig2.fig.suptitle(t='Moisture Stability between Wet (DJF) and Dry (SON) Seasons',
fontsize='x-large', fontweight='bold', y=1.015)
return fig1, fig2
# plot raw vegetation and moisture stability data
def plot_stand_stable_idx(ds):
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# num fo columns
ncols = 5
# get aspect and size
try:
aspect = ds.dims['x'] / ds.dims['y']
size = 2.4 / aspect
except:
aspect = 1
size = 2.4
# create vegetation indices figure
fig1 = ds['veg_stb'].plot.imshow(col='time', col_wrap=5, size=size, aspect=aspect, xticks=[], yticks=[],
robust=False, cmap='Greens', add_labels=False, add_colorbar=False)
fig1.set_xlabels('')
fig1.set_ylabels('')
fig1.fig.suptitle(t='Standardised Vegetation Stability per Year',
fontsize='x-large', fontweight='bold', y=1.015)
# create moisture indices figure
fig2 = ds['mst_stb'].plot.imshow(col='time', col_wrap=5, size=size, aspect=aspect, xticks=[], yticks=[],
robust=False, cmap='Blues', add_labels=False, add_colorbar=False)
fig2.set_xlabels('')
fig2.set_ylabels('')
fig2.fig.suptitle(t='Standardised Moisture Stability per Year',
fontsize='x-large', fontweight='bold', y=1.015)
return fig1, fig2
# plot likelihood data
def plot_likelihood(ds, stretch_min, stretch_max):
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# num fo columns
ncols = 4
# get aspect and size
try:
aspect = ds.dims['x'] / ds.dims['y']
size = 3 / aspect
except:
aspect = 1
size = 3
# create vegetation indices figure
norm = normalise_values(da=ds['likelihood'], stretch_min=stretch_min, stretch_max=stretch_max)
fig1 = ds['likelihood'].plot.imshow(col='time', col_wrap=4, size=size, aspect=aspect, xticks=[], yticks=[],
norm=norm, cmap='jet_r', add_labels=False, add_colorbar=False)
fig1.set_xlabels('')
fig1.set_ylabels('')
fig1.fig.suptitle(t='Raw Groundwater Dependent Vegetation per Year',
fontsize='x-large', fontweight='bold', y=1.015)
return fig1
# plot bush fire over likelihood
def plot_nbr_idx(like_years, nbr_years):
# basic checks
if not like_years.any() or not nbr_years.any():
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# num fo columns
ncols = 4
# get aspect and size
try:
aspect = like_years.dims['x'] / like_years.dims['y']
size = 3 / aspect
except:
aspect = 1
size = 3
# create vegetation indices facetgrid
fig = like_years.plot.imshow(col='year', col_wrap=4, size=size, aspect=aspect, xticks=[], yticks=[], cmap='jet_r',
add_labels=False, add_colorbar=False)
# iterate axes and add burn and likelihood above it
for ax in fig.axes.flat:
title = ax.get_title().split(' ')[-1]
if title:
year = int(title)
scene_like = like_years.sel(year=year)
ax.imshow(scene_like, alpha=0.25, cmap='jet_r', zorder=0)
ax.set_title('{0} - {1}'.format(year - 1, year))
try:
scene_nbr = nbr_years.sel(year=year)
ax.imshow(scene_nbr, alpha=0.90, cmap='binary_r', zorder=1)
except:
pass
# clean up labels and sup title
fig.set_xlabels('')
fig.set_ylabels('')
fig.fig.suptitle(t='Potential Burn Areas', fontsize='x-large', fontweight='bold', y=1.015)
return fig
# plot shapefile points and roc analysis result
def plot_shape_and_roc_stats(da, shp, fpr, tpr, auc, fignum):
# basic checks
if not da.any():
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
with warnings.catch_warnings():
warnings.simplefilter("ignore", category=RuntimeWarning)
# tell user
print('Generating shapefile point and ROC curve, please hold.')
# generate fig and axes
width = 0.35
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True, gridspec_kw={'width_ratios': [4, 2]})
# add basic vege map and shapefile points on figure
class_bins = np.array([0, 1])
cmap = clrs.ListedColormap(['red', 'blue'])
# plot general veg basemap and shapefile points on top
cax = make_axes_locatable(axes[0]).append_axes('bottom', size='5%', pad=0.1)
im_veg = da.plot(ax=axes[0], xticks=[], yticks=[], cmap='Greys_r', add_labels=False, add_colorbar=False)
im_shp = shp.plot(ax=axes[0], column='GDV_ACT', marker='o', markersize=5, cmap=cmap, legend=True, cax=cax, legend_kwds={'orientation': 'horizontal', 'ticks': class_bins})
axes[0].set_title('Groundtruth Sites (Presence/Absence)', fontsize=12)
axes[0].set_aspect('equal')
axes[0].set_xlabel('')
axes[0].set_ylabel('')
# plot roc results
axes[1].set_title('ROC Curve', fontsize=12)
axes[1].plot(fpr, tpr, 'b', label='AUC (%0.2f)' % auc)
axes[1].plot([0, 1], [0, 1], 'r--', label='Random')
axes[1].legend(loc='lower right')
axes[1].set_xlim([0, 1])
axes[1].set_ylim([0, 1])
axes[1].set_xlabel('False Positive Rate')
axes[1].set_ylabel('True Positive Rate')
return fig, axes
# plot summary stats for trend raw vegetation data
def plot_raw_trend_stats(ds, fignum):
if ds and fignum:
# tell user
print('Generating summary statistics and graphs, please hold.')
with warnings.catch_warnings():
warnings.simplefilter("ignore", category=RuntimeWarning)
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# get annual means of veg and mst indices for wet and dry seasons
ds_means = ds.groupby('time').mean(...)
# generate fig and axes
width = 0.35
fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(12.5, 4), num=fignum, constrained_layout=True)
# get years and list of positions
x = ds['time'].dt.strftime('%Y-%m').values
x_pos = np.arange(len(x))
# get vegetation data
means = ds_means['veg_idx'].data
# vegetation plot
axes.bar(x_pos, means, width, color='forestgreen', align='center', alpha=0.75)
axes.set_title('Vegetation Means for Seasons/Months')
axes.set_xlabel('Date')
axes.set_ylabel('Vegetation Index')
axes.set_ylim(np.nanmin(means) - (np.nanmin(means) * 0.05),
np.nanmax(means) + (np.nanmax(means) * 0.05))
axes.set_xticks(x_pos)
axes.set_xticklabels(x, rotation=90)
# correct ticks for large amounts of data
if len(x_pos) > 50:
every_nth = 4
for n, label in enumerate(axes.xaxis.get_ticklabels()):
if n % every_nth != 0:
label.set_visible(False)
return fig, axes
else:
print('Did not provide a valid dataset.')
# plot change point detection results for pelt cbd
def plot_cpd(signal, dates, result, cbd_type, fignum):
if signal.ndim == 1:
signal = signal.reshape(-1, 1)
n_samples, n_features = signal.shape
# set options
figtitle = 'Vegetation Health & Change Point Results ({0})'.format(cbd_type)
alpha = 0.25 # transparency of the colored background
color = "k" # color of the lines indicating the computed_chg_pts
linewidth = 3 # linewidth of the lines indicating the computed_chg_pts
linestyle = "--" # linestyle of the lines indicating the computed_chg_pts
# clear existing figure if it exists
fig = plt.figure(figsize=(12.5, 4), num=fignum)
plt.figure(fignum).clear()
# create proper subplot figure
fig, axarr = plt.subplots(n_features, figsize=(12.5, 4), sharex=True, num=fignum)
if n_features == 1:
axarr = [axarr]
for axe, sig in zip(axarr, signal.T):
color_cycle = cycle(["#4286f4", "#f44174"])
# plot signal, color each (true) regime
axe.plot(range(n_samples), sig)
bkps = [0] + sorted(result)
for (start, end), col in zip(rpt.utils.pairwise(bkps), color_cycle):
axe.axvspan(max(0, start - 0.5), end - 0.5, facecolor=col, alpha=alpha)
# vertical lines to mark the result
if result is not None:
for bkp in result:
if bkp != 0 and bkp < n_samples:
axe.axvline(x=bkp - 0.5, color=color, linewidth=linewidth, linestyle=linestyle)
# change axis labels
if len(dates) > 0:
date_list = [pd.to_datetime(str(d.data)).strftime('%Y-%m') for d in dates]
plt.xticks(list(range(0, n_samples)), date_list, rotation='vertical')
# set title, subtitle, axis labels, etc
axarr[0].set_title(figtitle, loc='left')
axarr[0].set_ylabel('Vegetation Health')
axarr[0].yaxis.set_major_formatter(FormatStrFormatter('%.2f'))
axarr[0].axhline(np.nanmedian(signal), label='Mean', linestyle='--', color='orange')
# final clean up
fig.tight_layout()
return fig, axarr
# plot summary stats for change raw vegetation data
def plot_raw_change_stats(ds, fignum):
if ds and fignum:
# tell user
print('Generating summary statistics and graphs, please hold.')
with warnings.catch_warnings():
warnings.simplefilter("ignore", category=RuntimeWarning)
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# get annual means of veg and brt indices
ds_means = ds.groupby('time').mean(...)
# generate fig and axes
width = 0.35
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True)
# get years and list of positions
x = ds['time'].dt.strftime('%Y-%m').values
x_pos = np.arange(len(x))
# get vegetation data
veg_means = ds_means['veg_idx'].data
# vegetation plot
axes[0].bar(x_pos, veg_means, width, color='forestgreen', align='center', alpha=0.75)
axes[0].set_title('Greeness Means for Seasons/Months')
axes[0].set_xlabel('Date')
axes[0].set_ylabel('Greeness')
axes[0].set_ylim(np.nanmin(veg_means) - (np.nanmin(veg_means) * 0.05),
np.nanmax(veg_means) + (np.nanmax(veg_means) * 0.05))
axes[0].set_xticks(x_pos)
axes[0].set_xticklabels(x, rotation=90)
# correct ticks for large amounts of data
if len(x_pos) > 50:
every_nth = 4
for n, label in enumerate(axes[0].xaxis.get_ticklabels()):
if n % every_nth != 0:
label.set_visible(False)
# get brightness data
brt_means = ds_means['brt_idx'].data
# vegetation plot
axes[1].bar(x_pos, brt_means, width, color='firebrick', align='center', alpha=0.75)
axes[1].set_title('Brightness (soil) Means for Seasons/Months')
axes[1].set_xlabel('Date')
axes[1].set_ylabel('Brightness')
axes[1].set_ylim(np.nanmin(brt_means) - (np.nanmin(brt_means) * 0.05),
np.nanmax(brt_means) + (np.nanmax(brt_means) * 0.05))
axes[1].set_xticks(x_pos)
axes[1].set_xticklabels(x, rotation=90)
# correct ticks for large amounts of data
if len(x_pos) > 50:
every_nth = 4
for n, label in enumerate(axes[1].xaxis.get_ticklabels()):
if n % every_nth != 0:
label.set_visible(False)
return fig, axes
else:
print('Did not provide a valid dataset.')
# plot greeness and brightness medians all time for change detection
def plot_median_alltime_idx_change(ds, stretch_min, stretch_max, fignum):
# basic checks
if not ds:
print('No cube dataset provided. Please ensure all cells above have been run.')
return None, None
# generate fig and axes
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12.5, 4), num=fignum, constrained_layout=True)
# plot vegetation median all time
norm = normalise_values(da=ds['veg_idx'], stretch_min=stretch_min, stretch_max=stretch_max)
im_veg = ds['veg_idx'].plot(ax=axes[0], xticks=[], yticks=[], add_labels=False, robust=False, norm=norm, cmap='RdYlGn', add_colorbar=False)
axes[0].set_title('Baseline Greeness Median', fontsize=12)
axes[0].set_aspect('equal')
cax = make_axes_locatable(axes[0]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_veg, cax=cax, orientation='horizontal')
# plot brightness median all time
norm = normalise_values(da=ds['brt_idx'], stretch_min=stretch_min, stretch_max=stretch_max)
im_mst = ds['brt_idx'].plot(ax=axes[1], xticks=[], yticks=[], add_labels=False, robust=False, norm=norm, cmap='BrBG_r', add_colorbar=False)
axes[1].set_title('Baseline Brightness Median', fontsize=12)
axes[1].set_aspect('equal')
cax = make_axes_locatable(axes[1]).append_axes('bottom', size='5%', pad=0.1)
plt.colorbar(im_mst, cax=cax, orientation='horizontal')
return fig, axes
# plot change point detection results for pelt cbd for cva
def plot_cva_cpd(signal_veg, signal_bright, dates, result_veg, result_brt, cbd_type, fignum):
if signal_veg.ndim == 1:
signal_veg = signal_veg.reshape(-1, 1)
signal_bright = signal_bright.reshape(-1, 1)
n_samples, n_features = signal_veg.shape
n_features = 2
# set options
figtitle = 'Greenness & Brightness with Change Point Results ({0})'.format(cbd_type)
alpha = 0.25 # transparency of the colored background
color = "k" # color of the lines indicating the computed_chg_pts
linewidth = 3 # linewidth of the lines indicating the computed_chg_pts
linestyle = "--" # linestyle of the lines indicating the computed_chg_pts
# clear existing figure if it exists
fig = plt.figure(figsize=(12.5, 5), num=fignum)
plt.figure(fignum).clear()
# create proper subplot figure
fig, axarr = plt.subplots(n_features, figsize=(12.5, 5), sharex=True, num=fignum)
# set color cycle for break fills
color_cycle = cycle(["#4286f4", "#f44174"])
# greeness plot
# plot signal, color each (true) regime
axarr[0].plot(range(n_samples), signal_veg, color='g')
bkps = [0] + sorted(result_veg)
# set start and end areas for background color of blue or red
for (start, end), col in zip(rpt.utils.pairwise(bkps), color_cycle):
axarr[0].axvspan(max(0, start - 0.5), end - 0.5, facecolor=col, alpha=alpha)
# vertical lines to mark the result
if result_veg is not None:
for bkp in result_veg:
if bkp != 0 and bkp < n_samples:
axarr[0].axvline(x=bkp - 0.5, color=color, linewidth=linewidth, linestyle=linestyle)
# add mean line
axarr[0].axhline(np.nanmedian(signal_veg), label='Mean', linestyle='--', color='orange')
# set title, subtitle, axis labels, etc
axarr[0].set_title(figtitle, loc='left')
axarr[0].set_ylabel('Greenness')
axarr[0].yaxis.set_major_formatter(FormatStrFormatter('%.2f'))
# set color cycle for break fills
color_cycle = cycle(["#4286f4", "#f44174"])
# brightness plot
# plot signal, color each (true) regime
axarr[1].plot(range(n_samples), signal_bright, color='c')
bkps = [0] + sorted(result_brt)
# set start and end areas for background color of blue or red
for (start, end), col in zip(rpt.utils.pairwise(bkps), color_cycle):
axarr[1].axvspan(max(0, start - 0.5), end - 0.5, facecolor=col, alpha=alpha)
# vertical lines to mark the result
if result_brt is not None:
for bkp in result_brt:
if bkp != 0 and bkp < n_samples:
axarr[1].axvline(x=bkp - 0.5, color=color, linewidth=linewidth, linestyle=linestyle)
# add mean line
axarr[1].axhline(np.nanmedian(signal_bright), label='Mean', linestyle='--', color='orange')
# set title, subtitle, axis labels, etc
axarr[1].set_title(figtitle, loc='left')
axarr[1].set_ylabel('Brightness')
axarr[1].yaxis.set_major_formatter(FormatStrFormatter('%.2f'))
axarr[1].plot(range(n_samples), signal_bright)
# change axis labels
if len(dates) > 0:
date_list = [pd.to_datetime(str(d.data)).strftime('%Y-%m') for d in dates]
plt.xticks(list(range(0, n_samples)), date_list, rotation='vertical')
# final clean up
fig.tight_layout()
return fig, axarr | 42.906542 | 178 | 0.6305 | 5,092 | 36,728 | 4.408091 | 0.089356 | 0.012252 | 0.011049 | 0.012118 | 0.832175 | 0.807583 | 0.784104 | 0.758843 | 0.731756 | 0.710015 | 0 | 0.022632 | 0.2445 | 36,728 | 856 | 179 | 42.906542 | 0.786291 | 0.135129 | 0 | 0.601504 | 0 | 0 | 0.142324 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037594 | false | 0.00188 | 0.016917 | 0 | 0.12406 | 0.046992 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
330e49739ecfbddcf3af02d1e7e7a3ca866e6401 | 160 | py | Python | add5.py | Athenian-ComputerScience-Fall2020/functions-practice-yesak1 | b3b3f710b2fa3ef3b850ec2611e6b95cfd8dda18 | [
"Apache-2.0"
] | null | null | null | add5.py | Athenian-ComputerScience-Fall2020/functions-practice-yesak1 | b3b3f710b2fa3ef3b850ec2611e6b95cfd8dda18 | [
"Apache-2.0"
] | null | null | null | add5.py | Athenian-ComputerScience-Fall2020/functions-practice-yesak1 | b3b3f710b2fa3ef3b850ec2611e6b95cfd8dda18 | [
"Apache-2.0"
] | null | null | null | def add_five(num1):
print(num1 + 5)
#add_five(48)
#user_input = int(input("Enter a number"))
#add_five(user_input)
add_five(int(input("Enter a number")))
| 17.777778 | 42 | 0.69375 | 28 | 160 | 3.75 | 0.464286 | 0.266667 | 0.247619 | 0.266667 | 0.380952 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035971 | 0.13125 | 160 | 8 | 43 | 20 | 0.719424 | 0.45625 | 0 | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
3365ac07cedd24b2f6825a175db0be1274276f83 | 27 | py | Python | gpstardist/nodes/__init__.py | saalfeldlab/gunpowder-stardist | eb099c7a095d6f5adb0cb3e1626cbb2bd6bf260c | [
"BSD-2-Clause"
] | null | null | null | gpstardist/nodes/__init__.py | saalfeldlab/gunpowder-stardist | eb099c7a095d6f5adb0cb3e1626cbb2bd6bf260c | [
"BSD-2-Clause"
] | null | null | null | gpstardist/nodes/__init__.py | saalfeldlab/gunpowder-stardist | eb099c7a095d6f5adb0cb3e1626cbb2bd6bf260c | [
"BSD-2-Clause"
] | null | null | null | from .add_stardist import * | 27 | 27 | 0.814815 | 4 | 27 | 5.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 27 | 1 | 27 | 27 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
6821aeccaf361e15190ee198232915f90099aee2 | 31 | py | Python | api/views/__init__.py | chidioguejiofor/flask_boilerplate | 62e9b016e9d471906a71c376f1a4836e05b2f1ed | [
"MIT"
] | null | null | null | api/views/__init__.py | chidioguejiofor/flask_boilerplate | 62e9b016e9d471906a71c376f1a4836e05b2f1ed | [
"MIT"
] | null | null | null | api/views/__init__.py | chidioguejiofor/flask_boilerplate | 62e9b016e9d471906a71c376f1a4836e05b2f1ed | [
"MIT"
] | null | null | null | from .auth import RegisterView
| 15.5 | 30 | 0.83871 | 4 | 31 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129032 | 31 | 1 | 31 | 31 | 0.962963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
684ad6ed593988707977ec071e124ebb89107bb3 | 13,093 | py | Python | etl/parsers/etw/Microsoft_Windows_ATAPort.py | IMULMUL/etl-parser | 76b7c046866ce0469cd129ee3f7bb3799b34e271 | [
"Apache-2.0"
] | 104 | 2020-03-04T14:31:31.000Z | 2022-03-28T02:59:36.000Z | etl/parsers/etw/Microsoft_Windows_ATAPort.py | IMULMUL/etl-parser | 76b7c046866ce0469cd129ee3f7bb3799b34e271 | [
"Apache-2.0"
] | 7 | 2020-04-20T09:18:39.000Z | 2022-03-19T17:06:19.000Z | etl/parsers/etw/Microsoft_Windows_ATAPort.py | IMULMUL/etl-parser | 76b7c046866ce0469cd129ee3f7bb3799b34e271 | [
"Apache-2.0"
] | 16 | 2020-03-05T18:55:59.000Z | 2022-03-01T10:19:28.000Z | # -*- coding: utf-8 -*-
"""
Microsoft-Windows-ATAPort
GUID : cb587ad1-cc35-4ef1-ad93-36cc82a2d319
"""
from construct import Int8sl, Int8ul, Int16ul, Int16sl, Int32sl, Int32ul, Int64sl, Int64ul, Bytes, Double, Float32l, Struct
from etl.utils import WString, CString, SystemTime, Guid
from etl.dtyp import Sid
from etl.parsers.etw.core import Etw, declare, guid
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=0, version=0)
class Microsoft_Windows_ATAPort_0_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul,
"Result" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=1, version=0)
class Microsoft_Windows_ATAPort_1_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul,
"Result" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=100, version=0)
class Microsoft_Windows_ATAPort_100_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=101, version=0)
class Microsoft_Windows_ATAPort_101_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=102, version=0)
class Microsoft_Windows_ATAPort_102_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DMAtoPIO" / Int8ul,
"StepDownInDMAModes" / Int8ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=103, version=0)
class Microsoft_Windows_ATAPort_103_0(Etw):
pattern = Struct(
"DeviceAddress" / Int32ul,
"RequestSequence" / Int32ul,
"QueueTime" / Int64ul,
"DeviceTime" / Int64ul,
"MasterIRP" / Int64ul,
"ActiveRequestCount" / Int32ul,
"IRBFunction" / Int16ul,
"DeviceCommand" / Int8ul,
"IRBStatus" / Int8ul,
"ATAStatus" / Int8ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=104, version=0)
class Microsoft_Windows_ATAPort_104_0(Etw):
pattern = Struct(
"DeviceAddress" / Int32ul,
"RequestSequence" / Int32ul,
"QueueTime" / Int64ul,
"DeviceTime" / Int64ul,
"MasterIRP" / Int64ul,
"ActiveRequestCount" / Int32ul,
"IRBFunction" / Int16ul,
"DeviceCommand" / Int8ul,
"IRBStatus" / Int8ul,
"ATAStatus" / Int8ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=105, version=0)
class Microsoft_Windows_ATAPort_105_0(Etw):
pattern = Struct(
"DeviceAddress" / Int32ul,
"RequestSequence" / Int32ul,
"QueueTime" / Int64ul,
"DeviceTime" / Int64ul,
"MasterIRP" / Int64ul,
"ActiveRequestCount" / Int32ul,
"IRBFunction" / Int16ul,
"DeviceCommand" / Int8ul,
"IRBStatus" / Int8ul,
"ATAStatus" / Int8ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=106, version=0)
class Microsoft_Windows_ATAPort_106_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=107, version=0)
class Microsoft_Windows_ATAPort_107_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul,
"Result" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=108, version=0)
class Microsoft_Windows_ATAPort_108_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul,
"Result" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=109, version=0)
class Microsoft_Windows_ATAPort_109_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul,
"Result" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=110, version=0)
class Microsoft_Windows_ATAPort_110_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul,
"Result" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=113, version=0)
class Microsoft_Windows_ATAPort_113_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul,
"Result" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=113, version=1)
class Microsoft_Windows_ATAPort_113_1(Etw):
pattern = Struct(
"PortNumber" / Int8ul,
"BusNumber" / Int8ul,
"TargetId" / Int8ul,
"LUN" / Int8ul,
"FailureReason" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=114, version=0)
class Microsoft_Windows_ATAPort_114_0(Etw):
pattern = Struct(
"SCSIAddressSize" / Int32ul,
"PortNumber" / Int8ul,
"PathID" / Int8ul,
"TargetID" / Int8ul,
"LUN" / Int8ul,
"DeviceType" / Int32ul,
"Result" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=114, version=1)
class Microsoft_Windows_ATAPort_114_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"TransferModeChangeType" / Int8ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=200, version=1)
class Microsoft_Windows_ATAPort_200_1(Etw):
pattern = Struct(
"RequestDurationin100ns" / Int64ul,
"Irp" / Int64ul,
"Command" / Int8ul,
"SrbStatus" / Int8ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=201, version=1)
class Microsoft_Windows_ATAPort_201_1(Etw):
pattern = Struct(
"RequestDurationin100ns" / Int64ul,
"Irp" / Int64ul,
"Command" / Int8ul,
"SrbStatus" / Int8ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=202, version=1)
class Microsoft_Windows_ATAPort_202_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Command" / Int8ul,
"LengthOfTransferinbytes" / Int64ul,
"LBA" / Int64ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=203, version=1)
class Microsoft_Windows_ATAPort_203_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Command" / Int8ul,
"LengthOfTransferinbytes" / Int64ul,
"LBA" / Int64ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=204, version=1)
class Microsoft_Windows_ATAPort_204_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Command" / Int8ul,
"LengthOfTransferinbytes" / Int64ul,
"LBA" / Int64ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=205, version=1)
class Microsoft_Windows_ATAPort_205_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Command" / Int8ul,
"LengthOfTransferinbytes" / Int64ul,
"LBA" / Int64ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=206, version=1)
class Microsoft_Windows_ATAPort_206_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Command" / Int8ul,
"LengthOfTransferinbytes" / Int64ul,
"LBA" / Int64ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=207, version=1)
class Microsoft_Windows_ATAPort_207_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Command" / Int8ul,
"LengthOfTransferinbytes" / Int64ul,
"LBA" / Int64ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=208, version=1)
class Microsoft_Windows_ATAPort_208_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"NTStatus" / Int32ul,
"SrbStatus" / Int8ul,
"ScsiStatus" / Int8ul,
"SenseKey" / Int8ul,
"AddSense" / Int8ul,
"AddSenseQ" / Int8ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=209, version=1)
class Microsoft_Windows_ATAPort_209_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"CurrentRetryCount" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=210, version=1)
class Microsoft_Windows_ATAPort_210_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Bus" / Int8ul,
"Target" / Int8ul,
"LUN" / Int8ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=211, version=1)
class Microsoft_Windows_ATAPort_211_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"NTStatus" / Int32ul,
"SrbStatus" / Int8ul,
"ScsiStatus" / Int8ul,
"SenseKey" / Int8ul,
"AddSense" / Int8ul,
"AddSenseQ" / Int8ul,
"OriginalIrp" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=212, version=1)
class Microsoft_Windows_ATAPort_212_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"MajorFunction" / Int32ul,
"MinorFunction" / Int32ul,
"Parameter" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=213, version=1)
class Microsoft_Windows_ATAPort_213_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"MajorFunction" / Int32ul,
"MinorFunction" / Int32ul,
"Parameter" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=214, version=1)
class Microsoft_Windows_ATAPort_214_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Status" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=215, version=1)
class Microsoft_Windows_ATAPort_215_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"MinorFunction" / Int32ul,
"Type" / Int8ul,
"OldState" / Int32ul,
"NewState" / Int32ul,
"Action" / Int32ul,
"PowerStateContext" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=216, version=1)
class Microsoft_Windows_ATAPort_216_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Status" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=217, version=1)
class Microsoft_Windows_ATAPort_217_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"MinorFunction" / Int32ul,
"Type" / Int32ul,
"DeviceObject" / Int64ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=218, version=1)
class Microsoft_Windows_ATAPort_218_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"Status" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=219, version=1)
class Microsoft_Windows_ATAPort_219_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"NumberOfChildren" / Int32ul,
"Status" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=220, version=1)
class Microsoft_Windows_ATAPort_220_1(Etw):
pattern = Struct(
"QueueTag" / Int32ul,
"Operation" / Int8ul,
"Status" / Int32ul
)
@declare(guid=guid("cb587ad1-cc35-4ef1-ad93-36cc82a2d319"), event_id=221, version=1)
class Microsoft_Windows_ATAPort_221_1(Etw):
pattern = Struct(
"Irp" / Int64ul,
"MajorFunction" / Int32ul,
"MinorFunction" / Int32ul,
"Parameter" / Int32ul
)
| 28.463043 | 123 | 0.627893 | 1,337 | 13,093 | 6.002992 | 0.097233 | 0.079741 | 0.114627 | 0.099676 | 0.907177 | 0.902068 | 0.712684 | 0.712684 | 0.712684 | 0.699975 | 0 | 0.139596 | 0.240587 | 13,093 | 459 | 124 | 28.525054 | 0.667605 | 0.007027 | 0 | 0.624 | 0 | 0 | 0.257158 | 0.123768 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.010667 | 0 | 0.218667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
688879bffacd005e48cb4e5ab21ec4ffd3e53864 | 67 | py | Python | src/dynamics/__init__.py | ngruver/decon-hnn | 6e6c7e9962568214e1708fb933b715a39328fc7b | [
"Apache-2.0"
] | 6 | 2022-02-14T04:52:59.000Z | 2022-03-08T05:11:34.000Z | src/dynamics/__init__.py | ngruver/decon-hnn | 6e6c7e9962568214e1708fb933b715a39328fc7b | [
"Apache-2.0"
] | null | null | null | src/dynamics/__init__.py | ngruver/decon-hnn | 6e6c7e9962568214e1708fb933b715a39328fc7b | [
"Apache-2.0"
] | null | null | null | from .hamiltonian import ConstrainedHamiltonianDynamics, EuclideanT | 67 | 67 | 0.910448 | 5 | 67 | 12.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059701 | 67 | 1 | 67 | 67 | 0.968254 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
688adf220e9bf0ca4997afb80e2c93b6ecb32ab0 | 163 | py | Python | widget/builder/admin.py | hotsyk/declaration-widgets | 7d31bd6d960f6c30ca4fa199d71ac96dcaad725b | [
"BSD-3-Clause"
] | null | null | null | widget/builder/admin.py | hotsyk/declaration-widgets | 7d31bd6d960f6c30ca4fa199d71ac96dcaad725b | [
"BSD-3-Clause"
] | null | null | null | widget/builder/admin.py | hotsyk/declaration-widgets | 7d31bd6d960f6c30ca4fa199d71ac96dcaad725b | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
from .models import DeclarationStore
@admin.register(DeclarationStore)
class DeclarationStoreAdmin(admin.ModelAdmin):
pass
| 18.111111 | 46 | 0.822086 | 17 | 163 | 7.882353 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116564 | 163 | 8 | 47 | 20.375 | 0.930556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 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 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
68a4b86de3120b24c788930406a37e7d7b339ec2 | 23 | py | Python | jovsatools/minitorch/__init__.py | jovsa/jovsatools | 52e7f6737376b62bbeba41dba8b54167661412a2 | [
"Apache-2.0"
] | 2 | 2020-06-06T22:46:58.000Z | 2020-07-09T22:00:38.000Z | jovsatools/minitorch/__init__.py | jovsa/jsmltools | 52e7f6737376b62bbeba41dba8b54167661412a2 | [
"Apache-2.0"
] | 1 | 2020-09-16T19:13:22.000Z | 2020-09-16T19:13:22.000Z | jovsatools/minitorch/__init__.py | jovsa/jsmltools | 52e7f6737376b62bbeba41dba8b54167661412a2 | [
"Apache-2.0"
] | null | null | null | from . import minitorch | 23 | 23 | 0.826087 | 3 | 23 | 6.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 23 | 1 | 23 | 23 | 0.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
68aa0ef0386455a5e4148415809a1967acf9767d | 44 | py | Python | crossgram/tests/conftest.py | clld/crossgram | 93827612f3cab38969cd784d87a91827ce7188b0 | [
"Apache-2.0"
] | null | null | null | crossgram/tests/conftest.py | clld/crossgram | 93827612f3cab38969cd784d87a91827ce7188b0 | [
"Apache-2.0"
] | 2 | 2020-09-09T08:58:18.000Z | 2020-09-10T08:12:14.000Z | crossgram/tests/conftest.py | clld/crossgram | 93827612f3cab38969cd784d87a91827ce7188b0 | [
"Apache-2.0"
] | null | null | null | from crossgram import models
import pytest
| 11 | 28 | 0.840909 | 6 | 44 | 6.166667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.159091 | 44 | 3 | 29 | 14.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
d7b7f2f59ae060e90b378515368c0587b9254ad6 | 24 | py | Python | moviequizz/__init__.py | BryanMums/MovieQuizz | a6d9f1d1e4582dfa951120d09295227104b978a9 | [
"MIT"
] | null | null | null | moviequizz/__init__.py | BryanMums/MovieQuizz | a6d9f1d1e4582dfa951120d09295227104b978a9 | [
"MIT"
] | 1 | 2016-05-11T07:56:52.000Z | 2016-05-11T07:56:52.000Z | moviequizz/__init__.py | BryanMums/MovieQuizz | a6d9f1d1e4582dfa951120d09295227104b978a9 | [
"MIT"
] | null | null | null | from . import moviequizz | 24 | 24 | 0.833333 | 3 | 24 | 6.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 24 | 1 | 24 | 24 | 0.952381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0bd787c441cc26cd69d7a792162c8368d9d92f0b | 89 | py | Python | core/dataset/__init__.py | tyjiang1997/NonLocalProp_MVD | 5cf5a5b422fd20e710429363447dc36a90f12b18 | [
"MIT"
] | 1 | 2022-03-25T12:27:59.000Z | 2022-03-25T12:27:59.000Z | core/dataset/__init__.py | tyjiang1997/NonLocalProp_MVD | 5cf5a5b422fd20e710429363447dc36a90f12b18 | [
"MIT"
] | null | null | null | core/dataset/__init__.py | tyjiang1997/NonLocalProp_MVD | 5cf5a5b422fd20e710429363447dc36a90f12b18 | [
"MIT"
] | null | null | null | from .data_loader import SequenceFolder
from .noisydata_loader import NoisySequenceFolder | 44.5 | 49 | 0.898876 | 10 | 89 | 7.8 | 0.7 | 0.307692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078652 | 89 | 2 | 49 | 44.5 | 0.95122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0400e5044bf4846f2aa54d94cc33e853ac214530 | 3,380 | py | Python | pirates/leveleditor/worldData/pvp_cave_e_1.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 3 | 2021-02-25T06:38:13.000Z | 2022-03-22T07:00:15.000Z | pirates/leveleditor/worldData/pvp_cave_e_1.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | null | null | null | pirates/leveleditor/worldData/pvp_cave_e_1.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 1 | 2021-02-25T06:38:17.000Z | 2021-02-25T06:38:17.000Z | # uncompyle6 version 3.2.0
# Python bytecode 2.4 (62061)
# Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)]
# Embedded file name: pirates.leveleditor.worldData.pvp_cave_e_1
from pandac.PandaModules import Point3, VBase3
objectStruct = {'Objects': {'1168057131.73sdnaik': {'Type': 'Island Game Area', 'Name': 'del_fuego_area_cave_e_1', 'File': '', 'Objects': {'1168057421.52sdnaik': {'Type': 'Locator Node', 'Name': 'portal_interior_2', 'Hpr': VBase3(144.768, 0.624, -0.465), 'Pos': Point3(299.396, -583.528, 3.411), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1168057421.5sdnaik': {'Type': 'Locator Node', 'Name': 'portal_interior_1', 'Hpr': VBase3(-145.119, -1.51, 0.556), 'Pos': Point3(295.633, 137.404, 2.838), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1170127782.42sdnaik': {'Type': 'Player Spawn Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'Index': -1, 'Pos': Point3(208.053, -512.312, 0.079), 'Scale': VBase3(1.0, 1.0, 1.0), 'Spawnables': 'All', 'Visual': {'Color': (0.5, 0.5, 0.5, 1), 'Model': 'models/misc/smiley'}}, '1170127794.66sdnaik': {'Type': 'Player Spawn Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'Index': -1, 'Pos': Point3(169.952, 57.287, 0.079), 'Scale': VBase3(1.0, 1.0, 1.0), 'Spawnables': 'All', 'Visual': {'Color': (0.5, 0.5, 0.5, 1), 'Model': 'models/misc/smiley'}}, '1170128209.66sdnaik': {'Type': 'Tunnel Cap', 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(167.848, 29.972, 0.079), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/tunnels/tunnelcap_volcano'}}, '1170128325.13sdnaik': {'Type': 'Tunnel Cap', 'Hpr': VBase3(32.641, 0.0, 0.0), 'Pos': Point3(191.888, -490.428, 0.079), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/tunnels/tunnelcap_volcano'}}, '1170128629.25sdnaik': {'Type': 'Pier', 'Hpr': Point3(0.0, 0.0, 0.0), 'Objects': {'1170128892.45sdnaik': {'Type': 'Treasure Chest', 'Hpr': Point3(0.0, 0.0, 0.0), 'Pos': Point3(-78.976, 1.534, -16.089), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/props/treasureChest'}}}, 'Pos': Point3(197.05, -205.178, 30.991), 'Scale': VBase3(1.0, 1.0, 1.0), 'Visual': {'Model': 'models/islands/pier_walkway'}}}, 'Visual': {'Model': 'models/caves/cave_e_zero'}}}, 'Node Links': [], 'Layers': {}, 'ObjectIds': {'1168057131.73sdnaik': '["Objects"]["1168057131.73sdnaik"]', '1168057421.52sdnaik': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1168057421.52sdnaik"]', '1168057421.5sdnaik': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1168057421.5sdnaik"]', '1170126125.95sdnaik0': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1170126125.95sdnaik"]', '1170127637.0sdnaik0': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1170127637.0sdnaik"]', '1170127727.05sdnaik0': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1170127727.05sdnaik"]', '1170127782.42sdnaik': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1170127782.42sdnaik"]', '1170127794.66sdnaik': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1170127794.66sdnaik"]', '1170128209.66sdnaik': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1170128209.66sdnaik"]', '1170128325.13sdnaik': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1170128325.13sdnaik"]', '1170128629.25sdnaik': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1170128629.25sdnaik"]', '1170128892.45sdnaik': '["Objects"]["1168057131.73sdnaik"]["Objects"]["1170128629.25sdnaik"]["Objects"]["1170128892.45sdnaik"]'}} | 563.333333 | 3,106 | 0.657692 | 471 | 3,380 | 4.683652 | 0.33121 | 0.025385 | 0.029918 | 0.029012 | 0.396192 | 0.32185 | 0.240707 | 0.240707 | 0.218495 | 0.218495 | 0 | 0.276908 | 0.073669 | 3,380 | 6 | 3,106 | 563.333333 | 0.427659 | 0.064497 | 0 | 0 | 0 | 0 | 0.591514 | 0.30969 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
0444d2e3b209e83dcdda8b9176bed1e3e8737841 | 122 | py | Python | onapi/academics/__init__.py | Lugal-PCZ/bbapi-toolkit | 7e0ef7b1843d8aad4ac31f21872a69655f6167f3 | [
"MIT"
] | 4 | 2019-12-13T13:34:17.000Z | 2022-03-28T20:17:41.000Z | onapi/academics/__init__.py | Lugal-PCZ/bbapi-toolkit | 7e0ef7b1843d8aad4ac31f21872a69655f6167f3 | [
"MIT"
] | 1 | 2019-08-20T16:30:39.000Z | 2019-09-23T16:32:12.000Z | onapi/academics/__init__.py | Lugal-PCZ/bbapi-toolkit | 7e0ef7b1843d8aad4ac31f21872a69655f6167f3 | [
"MIT"
] | null | null | null | from . import assignments
from . import courses
from . import departments
from . import enrollment
from . import sections
| 20.333333 | 25 | 0.795082 | 15 | 122 | 6.466667 | 0.466667 | 0.515464 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.163934 | 122 | 5 | 26 | 24.4 | 0.95098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
f09657bfe40f4ba6dd59f93c3290117124542e49 | 138 | py | Python | pyblog/blueprints/user/__init__.py | demetrius-mp/pyblog | 6e37d7881ed676ab49811fba5025fd3ff625cb0c | [
"MIT"
] | 1 | 2022-03-18T21:03:51.000Z | 2022-03-18T21:03:51.000Z | pyblog/blueprints/user/__init__.py | demetrius-mp/pyblog | 6e37d7881ed676ab49811fba5025fd3ff625cb0c | [
"MIT"
] | 2 | 2021-09-25T05:26:17.000Z | 2021-09-27T15:43:46.000Z | pyblog/blueprints/user/__init__.py | demetrius-mp/pyblog | 6e37d7881ed676ab49811fba5025fd3ff625cb0c | [
"MIT"
] | null | null | null | from flask import Flask
from pyblog.blueprints.user.routes import users as bp
def init_app(app: Flask):
app.register_blueprint(bp)
| 17.25 | 53 | 0.775362 | 22 | 138 | 4.772727 | 0.681818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152174 | 138 | 7 | 54 | 19.714286 | 0.897436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0 | 0.75 | 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 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 6 |
f09771e076b658ad62fa5b874b0d62cf22a60e6e | 61 | py | Python | tests/test_web_utils.py | sedelmeyer/web-utils | 809f89f86eda781c689d9301c802af285ba0c40b | [
"MIT"
] | null | null | null | tests/test_web_utils.py | sedelmeyer/web-utils | 809f89f86eda781c689d9301c802af285ba0c40b | [
"MIT"
] | null | null | null | tests/test_web_utils.py | sedelmeyer/web-utils | 809f89f86eda781c689d9301c802af285ba0c40b | [
"MIT"
] | null | null | null | from web_utils.cli import main
def test_main():
main([]) | 15.25 | 30 | 0.688525 | 10 | 61 | 4 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.180328 | 61 | 4 | 31 | 15.25 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
f0aeb1e7150d5ab5caa63a73172d58395a43178e | 2,237 | py | Python | networkapi/plugins/F5/profile.py | brunodevel/GloboNetworkAPI | ea8eebc0337636f9250e628cc392514934db8edd | [
"Apache-2.0"
] | null | null | null | networkapi/plugins/F5/profile.py | brunodevel/GloboNetworkAPI | ea8eebc0337636f9250e628cc392514934db8edd | [
"Apache-2.0"
] | null | null | null | networkapi/plugins/F5/profile.py | brunodevel/GloboNetworkAPI | ea8eebc0337636f9250e628cc392514934db8edd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
from networkapi.plugins.F5.f5base import F5Base
from networkapi.plugins.F5.util import logger
log = logging.getLogger(__name__)
class ProfileTCP(F5Base):
@logger
def get_list(self):
profiles = self._lb._channel.LocalLB.ProfileTCP.get_list()
return profiles
@logger
def create(self, **kwargs):
self._lb._channel.LocalLB.ProfileTCP.create(profile_names=kwargs['profile_names'])
@logger
def set_idle_timeout(self, **kwargs):
self._lb._channel.LocalLB.ProfileTCP.set_idle_timeout(
profile_names=kwargs['profile_names'],
timeouts=kwargs['timeouts']
)
class ProfileHttp(F5Base):
@logger
def get_list(self):
profiles = self._lb._channel.LocalLB.ProfileHttp.get_list()
return profiles
@logger
def create(self, **kwargs):
self._lb._channel.LocalLB.ProfileHttp.create(profile_names=kwargs['profile_names'])
class ProfileFastL4(F5Base):
@logger
def get_list(self):
profiles = self._lb._channel.LocalLB.ProfileFastL4.get_list()
return profiles
@logger
def create(self, **kwargs):
self._lb._channel.LocalLB.ProfileFastL4.create(profile_names=kwargs['profile_names'])
@logger
def set_idle_timeout(self, **kwargs):
self._lb._channel.LocalLB.ProfileFastL4.set_idle_timeout(
profile_names=kwargs['profile_names'],
timeouts=kwargs['timeouts']
)
@logger
def set_loose_close_state(self, **kwargs):
self._lb._channel.LocalLB.ProfileFastL4.set_loose_close_state(
profile_names=kwargs['profile_names'],
states=kwargs['states']
)
class ProfileUDP(F5Base):
@logger
def get_list(self):
profiles = self._lb._channel.LocalLB.ProfileUDP.get_list()
return profiles
@logger
def create(self, **kwargs):
self._lb._channel.LocalLB.ProfileUDP.create(profile_names=kwargs['profile_names'])
@logger
def set_idle_timeout(self, **kwargs):
self._lb._channel.LocalLB.ProfileUDP.set_idle_timeout(
profile_names=kwargs['profile_names'],
timeouts=kwargs['timeouts']
)
| 26.630952 | 93 | 0.669647 | 253 | 2,237 | 5.644269 | 0.162055 | 0.134454 | 0.109244 | 0.168067 | 0.82493 | 0.765406 | 0.740196 | 0.703081 | 0.661765 | 0.661765 | 0 | 0.007986 | 0.216361 | 2,237 | 83 | 94 | 26.951807 | 0.806617 | 0.009388 | 0 | 0.566667 | 0 | 0 | 0.060524 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.05 | 0 | 0.383333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
f0e707a7dd7f7c705841cae15b73413df45014f8 | 2,420 | py | Python | wrappers/python/tests/non_secrets/test_wallet_search.py | absltkaos/indy-sdk | bc14c5b514dc1c76ce62dd7f6bf804120bf69f5e | [
"Apache-2.0"
] | 636 | 2017-05-25T07:45:43.000Z | 2022-03-23T22:30:34.000Z | wrappers/python/tests/non_secrets/test_wallet_search.py | Nick-1979/indy-sdk | e5f812e14962f0d51cf96f843033754ff841ce30 | [
"Apache-2.0"
] | 731 | 2017-05-29T07:15:08.000Z | 2022-03-31T07:55:58.000Z | wrappers/python/tests/non_secrets/test_wallet_search.py | Nick-1979/indy-sdk | e5f812e14962f0d51cf96f843033754ff841ce30 | [
"Apache-2.0"
] | 904 | 2017-05-25T07:45:49.000Z | 2022-03-31T07:43:31.000Z | import pytest
from tests.non_secrets.common import *
@pytest.mark.asyncio
async def test_wallet_search_works(wallet_handle):
await non_secrets.add_wallet_record(wallet_handle, type_, id1, value1, tags1)
await non_secrets.add_wallet_record(wallet_handle, type_, id2, value2, tags2)
search_handle = await non_secrets.open_wallet_search(wallet_handle, type_, query_empty, options_empty)
search_records = json.loads(
await non_secrets.fetch_wallet_search_next_records(wallet_handle, search_handle, 2))
assert {'id': id1, 'value': value1, 'tags': None, 'type': None} in search_records['records']
assert {'id': id2, 'value': value2, 'tags': None, 'type': None} in search_records['records']
await non_secrets.close_wallet_search(search_handle)
@pytest.mark.asyncio
async def test_wallet_search_works_for_options(wallet_handle):
await non_secrets.add_wallet_record(wallet_handle, type_, id1, value1, tags1)
await non_secrets.add_wallet_record(wallet_handle, type_, id2, value2, tags2)
options_json = json.dumps({
'retrieveRecords': True,
'retrieveTotalCount': False,
'retrieveType': False,
'retrieveValue': True,
'retrieveTags': False
})
search_handle = await non_secrets.open_wallet_search(wallet_handle, type_, query_empty, options_json)
search_records = json.loads(
await non_secrets.fetch_wallet_search_next_records(wallet_handle, search_handle, 2))
assert {'id': id1, 'value': value1, 'tags': None, 'type': None} in search_records['records']
assert {'id': id2, 'value': value2, 'tags': None, 'type': None} in search_records['records']
await non_secrets.close_wallet_search(search_handle)
@pytest.mark.asyncio
async def test_wallet_search_works_for_query(wallet_handle):
await non_secrets.add_wallet_record(wallet_handle, type_, id1, value1, tags1)
await non_secrets.add_wallet_record(wallet_handle, type_, id2, value2, tags2)
query_json = json.dumps({
'tagName1': 'str2'
})
search_handle = await non_secrets.open_wallet_search(wallet_handle, type_, query_json, options_empty)
search_records = json.loads(
await non_secrets.fetch_wallet_search_next_records(wallet_handle, search_handle, 2))
assert {'id': id2, 'value': value2, 'tags': None, 'type': None} in search_records['records']
await non_secrets.close_wallet_search(search_handle)
| 39.672131 | 106 | 0.741736 | 322 | 2,420 | 5.220497 | 0.167702 | 0.095181 | 0.133849 | 0.074955 | 0.877454 | 0.877454 | 0.877454 | 0.877454 | 0.877454 | 0.850089 | 0 | 0.016051 | 0.150413 | 2,420 | 60 | 107 | 40.333333 | 0.801556 | 0 | 0 | 0.609756 | 0 | 0 | 0.079339 | 0 | 0 | 0 | 0 | 0 | 0.121951 | 1 | 0 | false | 0 | 0.04878 | 0 | 0.04878 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
f0ed51bb68325e617139aacf23d2203f9f0d6c27 | 38 | py | Python | constants/__init__.py | yimuchunfeng2010/myChat | 2c525be36642a7c74b12c63739803d9f58108221 | [
"MIT"
] | 6 | 2019-02-11T12:07:17.000Z | 2021-07-31T14:59:51.000Z | constants/__init__.py | yimuchunfeng2010/myChat | 2c525be36642a7c74b12c63739803d9f58108221 | [
"MIT"
] | 1 | 2019-03-11T18:01:03.000Z | 2019-03-11T18:01:03.000Z | constants/__init__.py | yimuchunfeng2010/myChat | 2c525be36642a7c74b12c63739803d9f58108221 | [
"MIT"
] | 3 | 2019-03-05T08:02:24.000Z | 2020-05-24T08:33:30.000Z | from . import type
from . import enum
| 12.666667 | 18 | 0.736842 | 6 | 38 | 4.666667 | 0.666667 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.210526 | 38 | 2 | 19 | 19 | 0.933333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
0b1983ef75736744bd8cef1a39f75a7fc4dbfb25 | 305 | py | Python | repos/upgrade/actors/netifacescanner/tests/test_netifacescanner.py | jmikovic/leapp-actors | eb8773c632eaa12d72e8c637dbedd72523b3044e | [
"Apache-2.0"
] | 3 | 2017-09-06T11:38:42.000Z | 2018-08-10T13:01:27.000Z | repos/upgrade/actors/netifacescanner/tests/test_netifacescanner.py | jmikovic/leapp-actors | eb8773c632eaa12d72e8c637dbedd72523b3044e | [
"Apache-2.0"
] | 62 | 2017-11-20T08:08:24.000Z | 2018-11-20T15:37:06.000Z | repos/upgrade/actors/netifacescanner/tests/test_netifacescanner.py | jmikovic/leapp-actors | eb8773c632eaa12d72e8c637dbedd72523b3044e | [
"Apache-2.0"
] | 17 | 2017-09-07T12:59:58.000Z | 2020-10-01T01:55:37.000Z | from leapp.snactor.fixture import current_actor_context
from leapp.snactor.fixture import current_actor_libraries
from leapp.models import IfaceResult, IfacesInfo
def test_actor_execution(current_actor_context):
current_actor_context.run()
assert current_actor_context.consume(IfaceResult)
| 30.5 | 57 | 0.842623 | 39 | 305 | 6.282051 | 0.461538 | 0.244898 | 0.310204 | 0.187755 | 0.334694 | 0.334694 | 0.334694 | 0 | 0 | 0 | 0 | 0 | 0.108197 | 305 | 9 | 58 | 33.888889 | 0.900735 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.166667 | false | 0 | 0.5 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
9bc88b535c269c820add0eeb716f83a95a1e9ad4 | 98 | py | Python | bucketlist/bucketlists/__init__.py | charlieoduk/Bucketlist | b77345c5720da7b9f674b1e5f90aa997245b993e | [
"Adobe-Glyph"
] | null | null | null | bucketlist/bucketlists/__init__.py | charlieoduk/Bucketlist | b77345c5720da7b9f674b1e5f90aa997245b993e | [
"Adobe-Glyph"
] | null | null | null | bucketlist/bucketlists/__init__.py | charlieoduk/Bucketlist | b77345c5720da7b9f674b1e5f90aa997245b993e | [
"Adobe-Glyph"
] | null | null | null | from flask import Blueprint
bucketlists = Blueprint('bucketlists', __name__)
from . import views | 19.6 | 48 | 0.795918 | 11 | 98 | 6.727273 | 0.636364 | 0.540541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.132653 | 98 | 5 | 49 | 19.6 | 0.870588 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0.666667 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 6 |
9bdd33cf0d61d9045f55d879f3dce5f1f7a85ff1 | 7,681 | py | Python | tests/utils_test.py | sadikkuzu-mba/rtcclient | 831d9eef57f0daca86728ea38743925f6db017fc | [
"Apache-2.0"
] | 37 | 2015-07-31T03:21:55.000Z | 2021-08-04T10:30:13.000Z | tests/utils_test.py | sadikkuzu-mba/rtcclient | 831d9eef57f0daca86728ea38743925f6db017fc | [
"Apache-2.0"
] | 94 | 2015-07-29T14:27:13.000Z | 2022-03-10T16:53:30.000Z | tests/utils_test.py | sadikkuzu-mba/rtcclient | 831d9eef57f0daca86728ea38743925f6db017fc | [
"Apache-2.0"
] | 37 | 2015-11-11T15:06:39.000Z | 2022-03-01T12:21:48.000Z | import os
import xmltodict
from rtcclient import OrderedDict
_path = os.path.realpath(os.path.dirname(__file__))
_search_path = os.path.join(_path, 'fixtures')
def read_fixture(file_name):
file_path = os.path.join(_search_path, file_name)
with open(file_path, mode="r") as fh:
return fh.read()
pa1 = (xmltodict.parse(read_fixture("projectareas.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Project")[0])
pa2 = (xmltodict.parse(read_fixture("projectareas.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Project")[1])
ta1 = (xmltodict.parse(read_fixture("teamareas.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Team")[0])
ta2 = (xmltodict.parse(read_fixture("teamareas.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Team")[1])
plannedfor1 = (xmltodict.parse(read_fixture("plannedfors.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Iteration")[0])
plannedfor2 = (xmltodict.parse(read_fixture("plannedfors.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Iteration")[1])
severity1 = (xmltodict.parse(read_fixture("severities.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Literal")[0])
severity2 = (xmltodict.parse(read_fixture("severities.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Literal")[1])
priority1 = (xmltodict.parse(read_fixture("priorities.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Literal")[0])
priority2 = (xmltodict.parse(read_fixture("priorities.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Literal")[1])
foundin1 = (xmltodict.parse(read_fixture("foundins.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Deliverable")[0])
foundin2 = (xmltodict.parse(read_fixture("foundins.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Deliverable")[1])
filedagainst1 = (xmltodict.parse(read_fixture("filedagainsts.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Category")[0])
filedagainst2 = (xmltodict.parse(read_fixture("filedagainsts.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Category")[1])
workitem1 = (xmltodict.parse(read_fixture("workitems.xml"))
.get("oslc_cm:Collection")
.get("oslc_cm:ChangeRequest")[0])
workitem1_origin = OrderedDict()
workitem1_origin["oslc_cm:ChangeRequest"] = workitem1
workitem1_raw = xmltodict.unparse(workitem1_origin)
workitem2 = (xmltodict.parse(read_fixture("workitems.xml"))
.get("oslc_cm:Collection")
.get("oslc_cm:ChangeRequest")[1])
workitem2_origin = OrderedDict()
workitem2_origin["oslc_cm:ChangeRequest"] = workitem2
workitem2_raw = xmltodict.unparse(workitem2_origin)
template_name = "issue_example.template"
template_raw = read_fixture(template_name)
template_ordereddict = xmltodict.parse(template_raw)
member1 = (xmltodict.parse(read_fixture("members.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:User")[0])
member2 = (xmltodict.parse(read_fixture("members.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:User")[1])
member3 = (xmltodict.parse(read_fixture("members.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:User")[2])
itemtype1 = (xmltodict.parse(read_fixture("itemtypes.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Type")[0])
itemtype2 = (xmltodict.parse(read_fixture("itemtypes.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Type")[1])
admin = (xmltodict.parse(read_fixture("administrators.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:User"))
comment1 = (xmltodict.parse(read_fixture("comments.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Comment")[0])
comment2 = (xmltodict.parse(read_fixture("comments.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Comment")[1])
action1 = (xmltodict.parse(read_fixture("actions.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Action")[0])
action2 = (xmltodict.parse(read_fixture("actions.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Action")[1])
role1 = (xmltodict.parse(read_fixture("roles.xml"))
.get("jp06:roles")
.get("jp06:role")[0])
role2 = (xmltodict.parse(read_fixture("roles.xml"))
.get("jp06:roles")
.get("jp06:role")[1])
role3 = (xmltodict.parse(read_fixture("roles.xml"))
.get("jp06:roles")
.get("jp06:role")[2])
state1 = (xmltodict.parse(read_fixture("states.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Status")[0])
state2 = (xmltodict.parse(read_fixture("states.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Status")[1])
savedquery1 = (xmltodict.parse(read_fixture("savedqueries.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Query")[0])
savedquery2 = (xmltodict.parse(read_fixture("savedqueries.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Query")[1])
savedquery3 = (xmltodict.parse(read_fixture("savedqueries.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Query")[2])
includedinbuild1 = (xmltodict.parse(read_fixture("includedinbuilds.xml"))
.get("oslc_cm:Collection")
.get("oslc_auto:AutomationResult")[0])
includedinbuild2 = (xmltodict.parse(read_fixture("includedinbuilds.xml"))
.get("oslc_cm:Collection")
.get("oslc_auto:AutomationResult")[1])
children1 = (xmltodict.parse(read_fixture("children.xml"))
.get("oslc_cm:Collection")
.get("oslc_cm:ChangeRequest")[0])
children2 = (xmltodict.parse(read_fixture("children.xml"))
.get("oslc_cm:Collection")
.get("oslc_cm:ChangeRequest")[1])
parent = (xmltodict.parse(read_fixture("parent.xml"))
.get("oslc_cm:Collection")
.get("oslc_cm:ChangeRequest"))
changeset1 = (xmltodict.parse(read_fixture("changesets.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Reference")[0])
changeset2 = (xmltodict.parse(read_fixture("changesets.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Reference")[1])
changeset3 = (xmltodict.parse(read_fixture("changesets.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Reference")[2])
attachment1 = (xmltodict.parse(read_fixture("attachment.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Attachment")[0])
attachment2 = (xmltodict.parse(read_fixture("attachment.xml"))
.get("oslc_cm:Collection")
.get("rtc_cm:Attachment")[1])
| 37.837438 | 73 | 0.557349 | 791 | 7,681 | 5.212389 | 0.154235 | 0.081494 | 0.100412 | 0.266796 | 0.751395 | 0.751395 | 0.751395 | 0.751395 | 0.751395 | 0.732476 | 0 | 0.01945 | 0.290457 | 7,681 | 202 | 74 | 38.024752 | 0.737064 | 0 | 0 | 0.346667 | 0 | 0 | 0.271189 | 0.028772 | 0 | 0 | 0 | 0 | 0 | 1 | 0.006667 | false | 0 | 0.02 | 0 | 0.033333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
9bed067cfd22939f92a5c6324267d00fc9ea192b | 76 | py | Python | testing/test_error.py | jpmchargue/whisk | 34512a46b48a472103faa26944d7d9b1d350b550 | [
"MIT"
] | 1 | 2021-01-12T03:57:19.000Z | 2021-01-12T03:57:19.000Z | testing/test_error.py | jpmchargue/whisk | 34512a46b48a472103faa26944d7d9b1d350b550 | [
"MIT"
] | null | null | null | testing/test_error.py | jpmchargue/whisk | 34512a46b48a472103faa26944d7d9b1d350b550 | [
"MIT"
] | null | null | null | import whisk
whisk.importStream("meme", "/home/jp/Downloads/engineer.wav")
| 19 | 61 | 0.763158 | 10 | 76 | 5.8 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065789 | 76 | 3 | 62 | 25.333333 | 0.816901 | 0 | 0 | 0 | 0 | 0 | 0.460526 | 0.407895 | 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 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
ace3ba5c8349dec77642c6d5ea424d46115939c9 | 123 | py | Python | ubermagutil/tests/test_init.py | joommf/joommfutils | 2b0d232b9f71869269494b47a73b05b79c68083c | [
"BSD-3-Clause"
] | null | null | null | ubermagutil/tests/test_init.py | joommf/joommfutils | 2b0d232b9f71869269494b47a73b05b79c68083c | [
"BSD-3-Clause"
] | null | null | null | ubermagutil/tests/test_init.py | joommf/joommfutils | 2b0d232b9f71869269494b47a73b05b79c68083c | [
"BSD-3-Clause"
] | null | null | null | import ubermagutil as uu
def test_version():
assert isinstance(uu.__version__, str)
assert "." in uu.__version__
| 17.571429 | 42 | 0.723577 | 16 | 123 | 5 | 0.6875 | 0.225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.186992 | 123 | 6 | 43 | 20.5 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0.00813 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.25 | true | 0 | 0.25 | 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 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
c5928b931948d493096c217121c49253652f46f0 | 251 | py | Python | dualing/models/__init__.py | gugarosa/dualing | a625476946bded8e6c9211d83fe79dc16b3d8f16 | [
"Apache-2.0"
] | 2 | 2020-08-03T08:02:48.000Z | 2020-11-21T04:11:45.000Z | dualing/models/__init__.py | gugarosa/dualing | a625476946bded8e6c9211d83fe79dc16b3d8f16 | [
"Apache-2.0"
] | 1 | 2020-09-29T12:58:33.000Z | 2020-09-29T12:58:33.000Z | dualing/models/__init__.py | gugarosa/dualing | a625476946bded8e6c9211d83fe79dc16b3d8f16 | [
"Apache-2.0"
] | null | null | null | """A package for already-implemented machine learning Siamese architectures.
"""
from dualing.models.contrastive import ContrastiveSiamese
from dualing.models.cross_entropy import CrossEntropySiamese
from dualing.models.triplet import TripletSiamese
| 35.857143 | 76 | 0.856574 | 28 | 251 | 7.642857 | 0.714286 | 0.154206 | 0.238318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087649 | 251 | 6 | 77 | 41.833333 | 0.934498 | 0.290837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c5b8d5fced47db49e03c7faeb8917aefe5a22c29 | 26 | py | Python | pyportable_installer/main_flow/step4/__init__.py | wuye999/pyportable-installer | 676780dbd7a54e1c1ee48b7817d702091ea11a6b | [
"MIT"
] | 20 | 2021-11-08T15:39:03.000Z | 2022-03-30T05:02:34.000Z | pyportable_installer/main_flow/step4/__init__.py | wuye999/pyportable-installer | 676780dbd7a54e1c1ee48b7817d702091ea11a6b | [
"MIT"
] | 2 | 2021-11-05T09:20:09.000Z | 2022-03-28T08:06:56.000Z | pyportable_installer/main_flow/step4/__init__.py | Likianta/pyportable-installer | b5dc346fd0804965ff0c2d5bbc666dd4ad522799 | [
"MIT"
] | 2 | 2022-02-02T14:42:08.000Z | 2022-03-24T03:53:39.000Z | from .cleanup import main
| 13 | 25 | 0.807692 | 4 | 26 | 5.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 26 | 1 | 26 | 26 | 0.954545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c5c91f55b3f2812871ef43955b93a57608f7f1c0 | 47 | py | Python | docs/examples/tools/import_preview.py | bkvalexey/aiogram_dialog | fb4a3a8c151d63f06b04e4b8641549cc7ae45c2c | [
"Apache-2.0"
] | 198 | 2020-06-06T14:24:04.000Z | 2022-03-29T16:01:30.000Z | docs/examples/tools/import_preview.py | bkvalexey/aiogram_dialog | fb4a3a8c151d63f06b04e4b8641549cc7ae45c2c | [
"Apache-2.0"
] | 65 | 2020-06-07T19:02:42.000Z | 2022-03-21T18:23:17.000Z | docs/examples/tools/import_preview.py | bkvalexey/aiogram_dialog | fb4a3a8c151d63f06b04e4b8641549cc7ae45c2c | [
"Apache-2.0"
] | 48 | 2020-06-13T09:57:58.000Z | 2022-03-11T17:59:21.000Z | from aiogram_dialog.tools import render_preview | 47 | 47 | 0.914894 | 7 | 47 | 5.857143 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06383 | 47 | 1 | 47 | 47 | 0.931818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c5cff6626d2728a8d7f6013c2fb6c0295899ef38 | 5,376 | py | Python | scripts/bootstrapESC.py | sdomanskyi/decneo | c3b78d7cb24fbecde317850ea5068394029a7d03 | [
"MIT"
] | null | null | null | scripts/bootstrapESC.py | sdomanskyi/decneo | c3b78d7cb24fbecde317850ea5068394029a7d03 | [
"MIT"
] | null | null | null | scripts/bootstrapESC.py | sdomanskyi/decneo | c3b78d7cb24fbecde317850ea5068394029a7d03 | [
"MIT"
] | null | null | null | from decneo.commonFunctions import *
from decneo.analysisPipeline import Analysis, process
def prepareInputData_human_McCracken():
dir = '/mnt/research/piermarolab/data/3. McCracken GSE131736/pd/'
def readOne(fileName, celltype, batch):
df = pd.read_hdf(dir + fileName, key='df')
df = pd.concat([df], keys=[celltype], axis=1, sort=False)
df = pd.concat([df], keys=[batch], axis=1, sort=False)
df.columns.names = ['batch', 'celltype', 'cell']
df = df.reorder_levels(['batch', 'cell', 'celltype'], axis=1)
return df
df = pd.concat([readOne('other/GSM3814885_h9_day0.h5', 'day0_hESC', 'GSE131736'),
readOne('GSM3814888_h9_day8_rep1.h5', 'day8_mesodermal', 'GSE131736').sample(n=3000, axis=1),
readOne('GSM3814889_h9_day8_rep2.h5', 'day8_mesodermal', 'GSE131736').sample(n=3000, axis=1),
readOne('GSM3814890_h9_day8_rep3.h5', 'day8_mesodermal', 'GSE131736').sample(n=3000, axis=1)],
axis=1, sort=False).fillna(0.).astype(int)
print(df)
import DigitalCellSorter
Convert = DigitalCellSorter.DigitalCellSorter(matplotlibMode='TkAgg').gnc.Convert
df.index = Convert(df.index.values.tolist(), 'alias', 'hugo', returnUnknownString=False)
df = df.loc[~df.index.duplicated(keep='first')]
df = df.T.loc[~df.T.index.get_level_values('cell').duplicated(keep='first')].T
df = df.astype(float)
df = df[df.sum(axis=1) > 0].apply(lambda cell: cell * 10000. / np.sum(cell), axis=0)
df = np.log2(df.replace(0., np.min(df.values[df.values > 0.])))
df -= np.min(df.values)
df = df[np.std(df, axis=1) / np.mean(np.std(df.values)) > 0.01]
isEC = df.columns.get_level_values('celltype').values == 'day0_hESC'
df = df.droplevel('celltype', axis=1).astype(float)
df_EC = df[df.columns[isEC]]
df_other = df[df.columns[~isEC]]
nBatches = 10
EC_batches = np.hstack([v + '_' + str(i) for i, v in enumerate(np.array_split(df_EC.columns.get_level_values('batch').values, nBatches))])
other_batches = np.hstack([v + '_' + str(i) for i, v in enumerate(np.array_split(df_other.columns.get_level_values('batch').values, nBatches))])
np.random.shuffle(EC_batches)
np.random.shuffle(other_batches)
df_EC.columns = pd.MultiIndex.from_arrays([EC_batches, df_EC.columns.get_level_values('cell')], names=['batch', 'cell'])
df_other.columns = pd.MultiIndex.from_arrays([other_batches, df_other.columns.get_level_values('cell')], names=['batch', 'cell'])
print(df_EC)
print(df_other)
return df_EC, df_other
def prepareInputData_mouse_Han():
dir = '/mnt/research/piermarolab/data/5. MCA/MCA1.0/rmbatch_dge/'
def readOne(fileName, celltype, batch):
df = pd.read_hdf(dir + fileName, key='df').droplevel('batch', axis=1)
df = pd.concat([df], keys=[celltype], axis=1, sort=False)
df = pd.concat([df], keys=[batch], axis=1, sort=False)
df.columns.names = ['batch', 'celltype', 'cell']
df = df.reorder_levels(['batch', 'cell', 'celltype'], axis=1)
return df
df = pd.concat([readOne('EmbryonicStemCells_rm.batch_dge.txt.gz.h5', 'mESC', 'SRA638923'),
readOne('EmbryonicMesenchymeE14.5_rm.batch_dge.txt.gz.h5', 'other', 'SRA638923')],
axis=1, sort=False).fillna(0.).astype(int)
import DigitalCellSorter
Convert = DigitalCellSorter.DigitalCellSorter(matplotlibMode='TkAgg').gnc.Convert
df.index = Convert(df.index.values.tolist(), 'alias', 'hugo', returnUnknownString=False)
df = df.loc[~df.index.duplicated(keep='first')]
df = df.T.loc[~df.T.index.get_level_values('cell').duplicated(keep='first')].T
df = df.astype(float)
df = df[df.sum(axis=1) > 0].apply(lambda cell: cell * 10000. / np.sum(cell), axis=0)
df = np.log2(df.replace(0., np.min(df.values[df.values > 0.])))
df -= np.min(df.values)
df = df[np.std(df, axis=1) / np.mean(np.std(df.values)) > 0.01]
isEC = df.columns.get_level_values('celltype').values == 'mESC'
df = df.droplevel('celltype', axis=1).astype(float)
df_EC = df[df.columns[isEC]]
df_other = df[df.columns[~isEC]]
nBatches = 10
EC_batches = np.hstack([v + '_' + str(i) for i, v in enumerate(np.array_split(df_EC.columns.get_level_values('batch').values, nBatches))])
other_batches = np.hstack([v + '_' + str(i) for i, v in enumerate(np.array_split(df_other.columns.get_level_values('batch').values, nBatches))])
np.random.shuffle(EC_batches)
np.random.shuffle(other_batches)
df_EC.columns = pd.MultiIndex.from_arrays([EC_batches, df_EC.columns.get_level_values('cell')], names=['batch', 'cell'])
df_other.columns = pd.MultiIndex.from_arrays([other_batches, df_other.columns.get_level_values('cell')], names=['batch', 'cell'])
print(df_EC)
print(df_other)
return df_EC, df_other
if __name__ == '__main__':
wdir = '/mnt/research/piermarolab/Sergii/results/ESC/'
process(*prepareInputData_human_McCracken(), *prepareInputData_mouse_Han(),
wdir + 'McCracken_hESC_vs_day8/', wdir + 'Han_mESC_vs_mesenchyme/',
nCPUs=8 if platform.system()=="Windows" else 10, parallelBootstrap=True,
genesOfInterest=TF, knownRegulators=TFmarkers, exprCutoff1=0.05, exprCutoff2=0.005, perEachOtherCase=True) | 48.432432 | 148 | 0.662016 | 758 | 5,376 | 4.538259 | 0.197889 | 0.026744 | 0.048837 | 0.061047 | 0.79564 | 0.778779 | 0.768895 | 0.768895 | 0.751453 | 0.739535 | 0 | 0.038848 | 0.166853 | 5,376 | 111 | 149 | 48.432432 | 0.729181 | 0 | 0 | 0.722892 | 0 | 0 | 0.145806 | 0.06937 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048193 | false | 0 | 0.048193 | 0 | 0.144578 | 0.060241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
c5d58c836a9e69136b76b5e79677b566be22c1d1 | 4,321 | py | Python | tests/fields/test_date_input_field.py | andyhd/crispy-forms-gds | d99068b80c907b70ffd64436470abb50bd6f5840 | [
"BSD-3-Clause"
] | 15 | 2020-04-07T10:27:33.000Z | 2022-03-07T13:25:40.000Z | tests/fields/test_date_input_field.py | andyhd/crispy-forms-gds | d99068b80c907b70ffd64436470abb50bd6f5840 | [
"BSD-3-Clause"
] | 10 | 2021-01-04T16:27:18.000Z | 2022-03-07T12:30:04.000Z | tests/fields/test_date_input_field.py | andyhd/crispy-forms-gds | d99068b80c907b70ffd64436470abb50bd6f5840 | [
"BSD-3-Clause"
] | 5 | 2021-02-24T13:57:17.000Z | 2021-09-27T10:11:58.000Z | """
Tests to verify the DateInputField.
"""
import datetime
from django.core.exceptions import ValidationError
import pytest
from crispy_forms_gds.fields import DateInputField
def test_compress_valid_fields():
"""Verify compress returns a date."""
date = datetime.date(year=2007, month=12, day=11)
field = DateInputField()
value = field.compress([date.day, date.month, date.year])
assert value == date
def test_compress_optional_fields_empty():
"""Verify compress returns None if the values are not required and not set."""
field = DateInputField()
field.require_all_fields = False
value = field.compress(["", "", ""])
assert value is None
def test_cleaned_valid_value():
"""Verify the Date input field returns a date object."""
date = datetime.date(year=2007, month=12, day=11)
field = DateInputField()
value = field.clean([date.day, date.month, date.year])
assert value == date
def test_required_day_field():
"""Verify a parent field required error is not recorded on the day widget."""
field = DateInputField()
with pytest.raises(ValidationError) as err:
field.clean(["", "12", "2007"])
assert field.fields[0].widget.errors == []
assert err.value.args[0] == field.error_messages["required"]
def test_incomplete_day_field():
"""Verify an incomplete error on the day field is saved in the widget."""
field = DateInputField(require_all_fields=False)
with pytest.raises(ValidationError) as err:
field.clean(["", "12", "2007"])
assert err.value.args[0][0] in field.fields[0].widget.errors
assert err.value.args[0][0] == field.fields[0].error_messages["incomplete"]
def test_invalid_day_field():
"""Verify a validation error on the day field is saved in the widget."""
field = DateInputField()
with pytest.raises(ValidationError) as err:
field.clean(["a", "12", "2007"])
error = err.value.args[0][0].args[0]
assert error in field.fields[0].widget.errors
assert error == field.fields[0].validators[0].message
def test_required_month_field():
"""Verify a parent field required error is not recorded on the month widget."""
field = DateInputField()
with pytest.raises(ValidationError) as err:
field.clean(["11", "", "2007"])
assert field.fields[1].widget.errors == []
assert err.value.args[0] == field.error_messages["required"]
def test_incomplete_month_field():
"""Verify an incomplete error on the month field is saved in the widget."""
field = DateInputField(require_all_fields=False)
with pytest.raises(ValidationError) as err:
field.clean(["11", "", "2007"])
assert err.value.args[0][0] in field.fields[1].widget.errors
assert err.value.args[0][0] == field.fields[1].error_messages["incomplete"]
def test_invalid_month_field():
"""Verify a validation error on the month field is saved in the widget."""
field = DateInputField()
with pytest.raises(ValidationError) as err:
field.clean(["11", "a", "2007"])
error = err.value.args[0][0].args[0]
assert error in field.fields[1].widget.errors
assert error == field.fields[1].validators[0].message
def test_required_year_field():
"""Verify a parent field required error is not recorded on the year widget."""
field = DateInputField()
with pytest.raises(ValidationError) as err:
field.clean(["11", "12", ""])
assert field.fields[1].widget.errors == []
assert err.value.args[0] == field.error_messages["required"]
def test_incomplete_year_field():
"""Verify an incomplete error on the month field is saved in the widget."""
field = DateInputField(require_all_fields=False)
with pytest.raises(ValidationError) as err:
field.clean(["11", "12", ""])
assert err.value.args[0][0] in field.fields[2].widget.errors
assert err.value.args[0][0] == field.fields[2].error_messages["incomplete"]
def test_invalid_year_field():
"""Verify a validation error on the month field is saved in the widget."""
field = DateInputField()
with pytest.raises(ValidationError) as err:
field.clean(["11", "12", "a"])
error = err.value.args[0][0].args[0]
assert error in field.fields[2].widget.errors
assert error == field.fields[2].validators[0].message
| 36.008333 | 83 | 0.686647 | 599 | 4,321 | 4.864775 | 0.123539 | 0.056623 | 0.049417 | 0.053535 | 0.819492 | 0.819492 | 0.742279 | 0.706932 | 0.706932 | 0.697666 | 0 | 0.029759 | 0.175654 | 4,321 | 119 | 84 | 36.310924 | 0.788321 | 0.190465 | 0 | 0.513158 | 0 | 0 | 0.030621 | 0 | 0 | 0 | 0 | 0 | 0.276316 | 1 | 0.157895 | false | 0 | 0.052632 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
76795956e74ae3f559ee17fcf8c9197b5a120d89 | 50 | py | Python | data/__init__.py | gstoica27/Swin-Transformer | 79ef4e0284f95d25a9bb64cfc72d6d683aab0bef | [
"MIT"
] | null | null | null | data/__init__.py | gstoica27/Swin-Transformer | 79ef4e0284f95d25a9bb64cfc72d6d683aab0bef | [
"MIT"
] | null | null | null | data/__init__.py | gstoica27/Swin-Transformer | 79ef4e0284f95d25a9bb64cfc72d6d683aab0bef | [
"MIT"
] | null | null | null | from .build import build_loader, build_loader_tune | 50 | 50 | 0.88 | 8 | 50 | 5.125 | 0.625 | 0.536585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08 | 50 | 1 | 50 | 50 | 0.891304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
767c284ecb3a5d2f87deb229ee48db5c032ccd1d | 84 | py | Python | scratchpad/issue2/problem1/bf/b.py | jhrcook/awesome-streamlit | 83c4c4ec13f274b30e586715bb080e01432b87e6 | [
"CC0-1.0"
] | null | null | null | scratchpad/issue2/problem1/bf/b.py | jhrcook/awesome-streamlit | 83c4c4ec13f274b30e586715bb080e01432b87e6 | [
"CC0-1.0"
] | null | null | null | scratchpad/issue2/problem1/bf/b.py | jhrcook/awesome-streamlit | 83c4c4ec13f274b30e586715bb080e01432b87e6 | [
"CC0-1.0"
] | null | null | null | import streamlit as st
from bf.cf import c
def write():
st.write("this is b")
| 12 | 25 | 0.666667 | 16 | 84 | 3.5 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.22619 | 84 | 6 | 26 | 14 | 0.861538 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.5 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
767f1de825800acf242a4e143d68c11408606e11 | 2,479 | py | Python | ematmap/groupby_udlr.py | ihgazni2/ematmap | e5aca1db403b2765f8d1ceefc29b721f14f72339 | [
"MIT"
] | null | null | null | ematmap/groupby_udlr.py | ihgazni2/ematmap | e5aca1db403b2765f8d1ceefc29b721f14f72339 | [
"MIT"
] | null | null | null | ematmap/groupby_udlr.py | ihgazni2/ematmap | e5aca1db403b2765f8d1ceefc29b721f14f72339 | [
"MIT"
] | null | null | null | import ematmap.groupby_engine as engine
@engine.udlr_wrap
def f_groupby_e(d):
return(engine.f_groupby_e(d))
@engine.udlr_wrap
def x_groupby_e(d):
'''
input d = {'x':<value>}
'''
return(engine.x_groupby_e(d))
@engine.udlr_wrap
def y_groupby_e(d):
return(engine.y_groupby_e(d))
@engine.udlr_wrap
def v_groupby_e(d):
return(engine.v_groupby_e(d))
@engine.udlr_wrap
def o_groupby_e(d):
return(engine.o_groupby_e(d))
@engine.udlr_wrap
def fx_groupby_e(d):
return(engine.fx_groupby_e(d))
@engine.udlr_wrap
def fy_groupby_e(d):
return(engine.fy_groupby_e(d))
@engine.udlr_wrap
def fv_groupby_e(d):
return(engine.fv_groupby_e(d))
@engine.udlr_wrap
def fo_groupby_e(d):
return(engine.fo_groupby_e(d))
@engine.udlr_wrap
def xy_groupby_e(d):
return(engine.xy_groupby_e(d))
@engine.udlr_wrap
def xv_groupby_e(d):
return(engine.xv_groupby_e(d))
@engine.udlr_wrap
def xo_groupby_e(d):
return(engine.xo_groupby_e(d))
@engine.udlr_wrap
def yv_groupby_e(d):
return(engine.yv_groupby_e(d))
@engine.udlr_wrap
def yo_groupby_e(d):
return(engine.yo_groupby_e(d))
@engine.udlr_wrap
def vo_groupby_e(d):
return(engine.vo_groupby_e(d))
@engine.udlr_wrap
def fxy_groupby_e(d):
return(engine.fxy_groupby_e(d))
@engine.udlr_wrap
def fxv_groupby_e(d):
return(engine.fxv_groupby_e(d))
@engine.udlr_wrap
def fxo_groupby_e(d):
return(engine.fxo_groupby_e(d))
@engine.udlr_wrap
def fyv_groupby_e(d):
return(engine.fyv_groupby_e(d))
@engine.udlr_wrap
def fyo_groupby_e(d):
return(engine.fyo_groupby_e(d))
@engine.udlr_wrap
def fvo_groupby_e(d):
return(engine.fvo_groupby_e(d))
@engine.udlr_wrap
def xyv_groupby_e(d):
return(engine.xyv_groupby_e(d))
@engine.udlr_wrap
def xyo_groupby_e(d):
return(engine.xyo_groupby_e(d))
@engine.udlr_wrap
def xvo_groupby_e(d):
return(engine.xvo_groupby_e(d))
@engine.udlr_wrap
def yvo_groupby_e(d):
return(engine.yvo_groupby_e(d))
@engine.udlr_wrap
def fxyv_groupby_e(d):
return(engine.fxyv_groupby_e(d))
@engine.udlr_wrap
def fxyo_groupby_e(d):
return(engine.fxyo_groupby_e(d))
@engine.udlr_wrap
def fxvo_groupby_e(d):
return(engine.fxvo_groupby_e(d))
@engine.udlr_wrap
def fyvo_groupby_e(d):
return(engine.fyvo_groupby_e(d))
@engine.udlr_wrap
def xyvo_groupby_e(d):
return(engine.xyvo_groupby_e(d))
@engine.udlr_wrap
def fxyvo_groupby_e(d):
return(engine.fxyvo_groupby_e(d))
| 15.591195 | 39 | 0.733764 | 444 | 2,479 | 3.745496 | 0.099099 | 0.298256 | 0.335538 | 0.316897 | 0.847865 | 0.469032 | 0.469032 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 2,479 | 158 | 40 | 15.689873 | 0.775653 | 0.009278 | 0 | 0.329787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.329787 | false | 0 | 0.010638 | 0.319149 | 0.340426 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 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 | 6 |
4f1b1696cc2bc834ab3e51ed4acc4b17d162a831 | 104 | py | Python | examples/classification/models/__init__.py | jjxu217/pytorch-sso | 124954a5588120885e2f017c99db7fc540d5b9ab | [
"MIT"
] | 121 | 2019-10-10T16:09:52.000Z | 2022-03-03T01:28:12.000Z | examples/classification/models/__init__.py | jjxu217/pytorch-sso | 124954a5588120885e2f017c99db7fc540d5b9ab | [
"MIT"
] | 3 | 2020-02-27T23:03:46.000Z | 2022-02-18T07:08:23.000Z | examples/classification/models/__init__.py | jjxu217/pytorch-sso | 124954a5588120885e2f017c99db7fc540d5b9ab | [
"MIT"
] | 20 | 2019-10-18T02:10:21.000Z | 2022-01-17T19:28:58.000Z | from .vgg import *
from .lenet import *
from .resnet import *
from .alexnet import *
from .mlp import *
| 17.333333 | 22 | 0.711538 | 15 | 104 | 4.933333 | 0.466667 | 0.540541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.192308 | 104 | 5 | 23 | 20.8 | 0.880952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
4f34f1af5768caffdbb8e5ae322fc10c6679ae6c | 1,010 | py | Python | test/test_pgp_signed_attestation_content_type.py | nyc/client-python | e73eab8953abf239305080673f7c96a54b776f72 | [
"Apache-2.0"
] | 6 | 2018-01-22T21:54:56.000Z | 2020-07-26T14:52:13.000Z | test/test_pgp_signed_attestation_content_type.py | nyc/client-python | e73eab8953abf239305080673f7c96a54b776f72 | [
"Apache-2.0"
] | 6 | 2018-07-12T12:56:16.000Z | 2021-07-13T00:33:24.000Z | test/test_pgp_signed_attestation_content_type.py | nyc/client-python | e73eab8953abf239305080673f7c96a54b776f72 | [
"Apache-2.0"
] | 19 | 2018-07-12T11:08:44.000Z | 2022-03-09T06:17:04.000Z | # coding: utf-8
"""
Grafeas API
An API to insert and retrieve annotations on cloud artifacts. # noqa: E501
OpenAPI spec version: v1alpha1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import grafeas
from grafeas.models.pgp_signed_attestation_content_type import PgpSignedAttestationContentType # noqa: E501
from grafeas.rest import ApiException
class TestPgpSignedAttestationContentType(unittest.TestCase):
"""PgpSignedAttestationContentType unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testPgpSignedAttestationContentType(self):
"""Test PgpSignedAttestationContentType"""
# FIXME: construct object with mandatory attributes with example values
# model = grafeas.models.pgp_signed_attestation_content_type.PgpSignedAttestationContentType() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| 24.634146 | 116 | 0.739604 | 104 | 1,010 | 6.980769 | 0.625 | 0.033058 | 0.044077 | 0.060606 | 0.121212 | 0.121212 | 0.121212 | 0 | 0 | 0 | 0 | 0.014652 | 0.189109 | 1,010 | 40 | 117 | 25.25 | 0.871795 | 0.468317 | 0 | 0.214286 | 1 | 0 | 0.016162 | 0 | 0 | 0 | 0 | 0.025 | 0 | 1 | 0.214286 | false | 0.214286 | 0.357143 | 0 | 0.642857 | 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 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
4f3bfd4c7c985fefa83e317341464fe1ec8db249 | 366 | py | Python | publicly_traded_companies/constants.py | jaebradley/stock-ticker-identifier | fe6087207a807e484b55f9d70473b75fec61eaf5 | [
"MIT"
] | 2 | 2019-02-07T03:32:04.000Z | 2021-02-22T20:40:26.000Z | publicly_traded_companies/constants.py | jaebradley/stock-ticker-identifier | fe6087207a807e484b55f9d70473b75fec61eaf5 | [
"MIT"
] | 4 | 2017-10-04T05:07:13.000Z | 2017-10-24T23:29:57.000Z | publicly_traded_companies/constants.py | jaebradley/stock_ticker_identifier | fe6087207a807e484b55f9d70473b75fec61eaf5 | [
"MIT"
] | null | null | null | DOWNLOAD_NASDAQ_COMPANIES_URL = 'http://www.nasdaq.com/screening/companies-by-industry.aspx?exchange=NASDAQ&render=download'
DOWNLOAD_NYSE_COMPANIES_URL = 'http://www.nasdaq.com/screening/companies-by-industry.aspx?exchange=NYSE&render=download'
DOWNLOAD_AMEX_COMPANIES_URL = 'http://www.nasdaq.com/screening/companies-by-industry.aspx?exchange=AMEX&render=download' | 122 | 124 | 0.838798 | 51 | 366 | 5.843137 | 0.294118 | 0.120805 | 0.161074 | 0.191275 | 0.684564 | 0.684564 | 0.684564 | 0.684564 | 0.684564 | 0.684564 | 0 | 0 | 0.021858 | 366 | 3 | 125 | 122 | 0.832402 | 0 | 0 | 0 | 0 | 1 | 0.724796 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4f425e97bdc065e14b99cc2ef13258bebe621c4c | 145 | py | Python | 1-Python-Programming-Basics (Sep 2020)/Course-Exercises-and-Exams/06_Nested-Loops/00.Book-Exercises-6.1-Nested-Loops-Drawing-on-the-Console-01-Rectangle-of-10-10-Stars.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | 1-Python-Programming-Basics (Sep 2020)/Course-Exercises-and-Exams/06_Nested-Loops/00.Book-Exercises-6.1-Nested-Loops-Drawing-on-the-Console-01-Rectangle-of-10-10-Stars.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | 1-Python-Programming-Basics (Sep 2020)/Course-Exercises-and-Exams/06_Nested-Loops/00.Book-Exercises-6.1-Nested-Loops-Drawing-on-the-Console-01-Rectangle-of-10-10-Stars.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | # правоъгълник от 10 x 10 звездички
# Да се начертае в конзолата правоъгълник от 10 x 10 звездички.
for row in range(1, 11):
print('*' * 10) | 29 | 63 | 0.696552 | 25 | 145 | 4.04 | 0.68 | 0.277228 | 0.316832 | 0.336634 | 0.554455 | 0.554455 | 0 | 0 | 0 | 0 | 0 | 0.114035 | 0.213793 | 145 | 5 | 64 | 29 | 0.77193 | 0.655172 | 0 | 0 | 0 | 0 | 0.020833 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
4f600f15911046cdfb50ab84f5317555a7d63c78 | 110,589 | py | Python | lib/html_log/_log_data.py | th3cyb3rc0p/Nettacker | 24640d8695716aee48435710287f58486ed174ab | [
"Apache-2.0"
] | 35 | 2019-10-17T17:42:50.000Z | 2020-10-06T12:08:29.000Z | lib/html_log/_log_data.py | th3cyb3rc0p/Nettacker | 24640d8695716aee48435710287f58486ed174ab | [
"Apache-2.0"
] | 1 | 2022-03-29T22:02:36.000Z | 2022-03-29T22:02:36.000Z | lib/html_log/_log_data.py | th3cyb3rc0p/Nettacker | 24640d8695716aee48435710287f58486ed174ab | [
"Apache-2.0"
] | 7 | 2019-10-17T21:46:09.000Z | 2021-12-15T04:56:29.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
css_1 = '''<style>
.overlay {
border: 5px solid green;
}
body , overlay{
background:
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)
}
table {
background: #f5f5f5;
border-collapse: separate;
box-shadow: inset 0 1px 0 #fff;
font-size: 12px;
line-height: 24px;
margin: 30px auto;
text-align: left;
width: 800px;
}
th {
background: url(https://jackrugile.com/images/misc/noise-diagonal.png), linear-gradient(#777, #444);
border-left: 1px solid #555;
border-right: 1px solid #777;
border-top: 1px solid #555;
border-bottom: 1px solid #333;
box-shadow: inset 0 1px 0 #999;
color: #fff;
font-weight: bold;
padding: 10px 15px;
position: relative;
text-shadow: 0 1px 0 #000;
text-align:center;
}
th:after {
background: linear-gradient(rgba(255,255,255,0), rgba(255,255,255,.08));
content: '';
display: block;
height: 25%;
left: 0;
margin: 1px 0 0 0;
position: absolute;
top: 25%;
width: 100%;
}
th:first-child {
border-left: 1px solid #777;
box-shadow: inset 1px 1px 0 #999;
}
th:last-child {
box-shadow: inset -1px 1px 0 #999;
}
td {
border-right: 1px solid #fff;
border-left: 1px solid #e8e8e8;
border-top: 1px solid #fff;
border-bottom: 1px solid #e8e8e8;
padding: 10px 15px;
position: relative;
transition: all 300ms;
text-align:center;
}
td:first-child {
box-shadow: inset 1px 0 0 #fff;
}
td:last-child {
border-right: 1px solid #e8e8e8;
box-shadow: inset -1px 0 0 #fff;
}
tr:last-of-type td {
box-shadow: inset 0 -1px 0 #fff;
}
tr:last-of-type td:first-child {
box-shadow: inset 1px -1px 0 #fff;
}
tr:last-of-type td:last-child {
box-shadow: inset -1px -1px 0 #fff;
}
tbody:hover td {
color: transparent;
text-shadow: 0 0 3px #aaa;
}
tbody:hover tr:hover td {
color: #444;
text-shadow: 0 1px 0 #fff;
}
</style>'''
table_title = '{0}{1}\n\n<center><br><br><br><table>\n<tr><th>{2}</th><th>{3}</th><th>{4}</th><th>{5}</th><th>{6}' \
'</th><th>{7}</th><th>{8}</th></tr>\n'
table_items = '<tr><td>{0}</td><td>{1}</td><td>{2}</td><td>{3}</td><td>{4}</td><td>{5}</td><td>{6}</td></tr>\n'
table_end = '</table><br><br></center><br><br>'
| 1,033.542056 | 108,331 | 0.955855 | 3,959 | 110,589 | 26.699419 | 0.889113 | 0.000454 | 0.001192 | 0.000965 | 0.008145 | 0.002696 | 0.002516 | 0.001201 | 0 | 0 | 0 | 0.149385 | 0.004377 | 110,589 | 106 | 108,332 | 1,043.292453 | 0.810635 | 0.00038 | 0 | 0.067416 | 0 | 0.05618 | 0.999213 | 0.983066 | 0 | 1 | 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 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
96cebe5e21088a5af1f7888232706892ab7d2a1e | 18,758 | py | Python | allaccess/tests/test_clients.py | stormers/django-all-access | c55683c75996601709ca3bdf08db9b09577c99d1 | [
"BSD-2-Clause"
] | 33 | 2015-01-06T14:23:23.000Z | 2020-12-09T12:09:34.000Z | allaccess/tests/test_clients.py | stormers/django-all-access | c55683c75996601709ca3bdf08db9b09577c99d1 | [
"BSD-2-Clause"
] | 29 | 2015-01-02T14:34:48.000Z | 2021-06-10T18:17:07.000Z | allaccess/tests/test_clients.py | stormers/django-all-access | c55683c75996601709ca3bdf08db9b09577c99d1 | [
"BSD-2-Clause"
] | 28 | 2015-01-16T20:51:04.000Z | 2020-07-03T02:51:46.000Z | "OAuth 1.0 and 2.0 client tests."
from __future__ import unicode_literals
from django.test.client import RequestFactory
from requests.exceptions import RequestException
from .base import AllAccessTestCase
from ..clients import OAuthClient, OAuth2Client
from ..compat import urlparse, parse_qs, patch, Mock
class BaseClientTestCase(object):
"Common client test functionality."
oauth_client = None
def setUp(self):
super(BaseClientTestCase, self).setUp()
self.consumer_key = self.get_random_string()
self.consumer_secret = self.get_random_string()
self.provider = self.create_provider(
consumer_key=self.consumer_key, consumer_secret=self.consumer_secret)
self.oauth = self.oauth_client(self.provider)
self.factory = RequestFactory()
def test_redirect_url(self, *args, **kwargs):
"Redirect url is build from provider authorization_url."
with patch.object(self.oauth, 'get_redirect_args') as args:
args.return_value = {'foo': 'bar'}
request = self.factory.get('/login/')
url = self.oauth.get_redirect_url(request, callback='/callback/')
scheme, netloc, path, params, query, fragment = urlparse(url)
query = parse_qs(query)
self.assertEqual('%s://%s%s' % (scheme, netloc, path), self.provider.authorization_url)
self.assertEqual(query, {'foo': ['bar']})
def test_additional_redirect_args(self, *args, **kwargs):
"Additional redirect arguments."
with patch.object(self.oauth, 'get_redirect_args') as args:
args.return_value = {'foo': 'bar'}
request = self.factory.get('/login/')
additional = {'scope': 'email'}
url = self.oauth.get_redirect_url(request, callback='/callback/', parameters=additional)
scheme, netloc, path, params, query, fragment = urlparse(url)
query = parse_qs(query)
self.assertEqual(query, {'foo': ['bar'], 'scope': ['email']})
@patch('allaccess.clients.OAuth1')
@patch('allaccess.clients.request')
class OAuthClientTestCase(BaseClientTestCase, AllAccessTestCase):
"OAuth 1.0 client handling to match http://oauth.net/core/1.0/"
oauth_client = OAuthClient
def setUp(self):
super(OAuthClientTestCase, self).setUp()
self.provider.request_token_url = self.get_random_url()
self.provider.save()
def test_request_token_auth(self, requests, auth):
"Construct post auth with provider key and secret."
request = self.factory.get('/login/')
self.oauth.get_request_token(request, callback='/callback/')
self.assertTrue(auth.called)
args, kwargs = auth.call_args
self.assertEqual(kwargs['client_key'], self.provider.consumer_key)
self.assertEqual(kwargs['client_secret'], self.provider.consumer_secret)
self.assertEqual(kwargs['resource_owner_key'], None)
self.assertEqual(kwargs['resource_owner_secret'], None)
self.assertEqual(kwargs['verifier'], None)
self.assertEqual(kwargs['callback_uri'], 'http://testserver/callback/')
def test_request_token_url(self, requests, auth):
"Post should be sent to provider's request_token_url."
request = self.factory.get('/login/')
self.oauth.get_request_token(request, callback='/callback/')
self.assertTrue(requests.called)
args, kwargs = requests.call_args
method, url = args
self.assertEqual(method, 'post')
self.assertEqual(url, self.provider.request_token_url)
def test_request_token_response(self, requests, auth):
"Return full response text without parsing key/secret."
response = Mock()
response.text = 'oauth_token=token&oauth_token_secret=secret'
requests.return_value = response
request = self.factory.get('/login/')
token = self.oauth.get_request_token(request, callback='/callback/')
self.assertEqual(token, 'oauth_token=token&oauth_token_secret=secret')
def test_request_token_failure(self, requests, auth):
"Handle upstream server errors when fetching request token."
requests.side_effect = RequestException('Server Down')
request = self.factory.get('/login/')
token = self.oauth.get_request_token(request, callback='/callback/')
self.assertEqual(token, None)
def test_access_token_auth(self, requests, auth):
"Construct auth from provider key and secret and request token."
request = self.factory.get('/callback/', {'oauth_verifier': 'verifier'})
request.session = {self.oauth.session_key: 'oauth_token=token&oauth_token_secret=secret'}
self.oauth.get_access_token(request)
self.assertTrue(auth.called)
args, kwargs = auth.call_args
self.assertEqual(kwargs['client_key'], self.provider.consumer_key)
self.assertEqual(kwargs['client_secret'], self.provider.consumer_secret)
self.assertEqual(kwargs['resource_owner_key'], 'token')
self.assertEqual(kwargs['resource_owner_secret'], 'secret')
self.assertEqual(kwargs['verifier'], 'verifier')
self.assertEqual(kwargs['callback_uri'], 'http://testserver/callback/')
def test_access_token_auth_custom_callback(self, requests, auth):
"Construct auth when a callback is given."
request = self.factory.get('/callback/', {'oauth_verifier': 'verifier'})
request.session = {self.oauth.session_key: 'oauth_token=token&oauth_token_secret=secret'}
self.oauth.get_access_token(request, callback='/other/')
self.assertTrue(auth.called)
args, kwargs = auth.call_args
self.assertEqual(kwargs['client_key'], self.provider.consumer_key)
self.assertEqual(kwargs['client_secret'], self.provider.consumer_secret)
self.assertEqual(kwargs['resource_owner_key'], 'token')
self.assertEqual(kwargs['resource_owner_secret'], 'secret')
self.assertEqual(kwargs['verifier'], 'verifier')
self.assertEqual(kwargs['callback_uri'], 'http://testserver/other/')
def test_access_token_no_request_token(self, requests, auth):
"Handle no request token found in the session."
request = self.factory.get('/callback/', {'oauth_verifier': 'verifier'})
request.session = {}
response = self.oauth.get_access_token(request)
self.assertEqual(response, None)
self.assertFalse(requests.called)
self.assertFalse(auth.called)
def test_access_token_no_verifier(self, requests, auth):
"Don't request access token if no verifier was given."
request = self.factory.get('/callback/')
request.session = {self.oauth.session_key: 'oauth_token=token&oauth_token_secret=secret'}
response = self.oauth.get_access_token(request)
self.assertEqual(response, None)
self.assertFalse(requests.called)
self.assertFalse(auth.called)
def test_access_token_bad_request_token(self, requests, auth):
"Handle bad request token found in the session."
request = self.factory.get('/callback/', {'oauth_verifier': 'verifier'})
request.session = {self.oauth.session_key: 'XXXXX'}
self.oauth.get_access_token(request)
self.assertTrue(auth.called)
args, kwargs = auth.call_args
self.assertEqual(kwargs['client_key'], self.provider.consumer_key)
self.assertEqual(kwargs['client_secret'], self.provider.consumer_secret)
self.assertEqual(kwargs['resource_owner_key'], None)
self.assertEqual(kwargs['resource_owner_secret'], None)
self.assertEqual(kwargs['verifier'], 'verifier')
def test_access_token_url(self, requests, auth):
"Post should be sent to provider's access_token_url."
request = self.factory.get('/callback/', {'oauth_verifier': 'verifier'})
request.session = {self.oauth.session_key: 'oauth_token=token&oauth_token_secret=secret'}
self.oauth.get_access_token(request)
self.assertTrue(requests.called)
args, kwargs = requests.call_args
method, url = args
self.assertEqual(method, 'post')
self.assertEqual(url, self.provider.access_token_url)
def test_access_token_response(self, requests, auth):
"Return full response text without parsing key/secret."
response = Mock()
response.text = 'oauth_token=token&oauth_token_secret=secret'
requests.return_value = response
request = self.factory.get('/callback/', {'oauth_verifier': 'verifier'})
request.session = {self.oauth.session_key: 'oauth_token=token&oauth_token_secret=secret'}
token = self.oauth.get_access_token(request)
self.assertEqual(token, 'oauth_token=token&oauth_token_secret=secret')
def test_access_token_failure(self, requests, auth):
"Handle upstream server errors when fetching access token."
requests.side_effect = RequestException('Server Down')
request = self.factory.get('/callback/', {'oauth_verifier': 'verifier'})
request.session = {self.oauth.session_key: 'oauth_token=token&oauth_token_secret=secret'}
token = self.oauth.get_access_token(request)
self.assertEqual(token, None)
def test_profile_info_auth(self, requests, auth):
"Construct auth from provider key and secret and user token."
raw_token = 'oauth_token=token&oauth_token_secret=secret'
self.oauth.get_profile_info(raw_token)
self.assertTrue(auth.called)
args, kwargs = auth.call_args
self.assertEqual(kwargs['client_key'], self.provider.consumer_key)
self.assertEqual(kwargs['client_secret'], self.provider.consumer_secret)
self.assertEqual(kwargs['resource_owner_key'], 'token')
self.assertEqual(kwargs['resource_owner_secret'], 'secret')
def test_profile_info_url(self, requests, auth):
"Make get request for profile url."
raw_token = 'oauth_token=token&oauth_token_secret=secret'
self.oauth.get_profile_info(raw_token)
self.assertTrue(requests.called)
args, kwargs = requests.call_args
method, url = args
self.assertEqual(method, 'get')
self.assertEqual(url, self.provider.profile_url)
def test_profile_info_failure(self, requests, auth):
"Handle upstream server errors when fetching profile info."
requests.side_effect = RequestException('Server Down')
raw_token = 'oauth_token=token&oauth_token_secret=secret'
response = self.oauth.get_profile_info(raw_token)
self.assertEqual(response, None)
def test_request_with_user_token(self, requests, auth):
"Use token for request auth."
token = 'oauth_token=token&oauth_token_secret=secret'
self.oauth = self.oauth_client(self.provider, token=token)
self.oauth.request('get', 'http://example.com/')
self.assertTrue(auth.called)
args, kwargs = auth.call_args
self.assertEqual(kwargs['client_key'], self.provider.consumer_key)
self.assertEqual(kwargs['client_secret'], self.provider.consumer_secret)
self.assertEqual(kwargs['resource_owner_key'], 'token')
self.assertEqual(kwargs['resource_owner_secret'], 'secret')
@patch('allaccess.clients.request')
class OAuth2ClientTestCase(BaseClientTestCase, AllAccessTestCase):
"OAuth 2.0 client handling."
oauth_client = OAuth2Client
def test_access_token_url(self, requests):
"Get should be sent to provider's access_token_url."
request = self.factory.get('/callback/', {'code': 'code', 'state': 'foo'})
request.session = {self.oauth.session_key: 'foo'}
self.oauth.get_access_token(request)
self.assertTrue(requests.called)
args, kwargs = requests.call_args
method, url = args
self.assertEqual(method, 'post')
self.assertEqual(url, self.provider.access_token_url)
def test_access_token_parameters(self, requests):
"Check parameters used when fetching access token."
request = self.factory.get('/callback/', {'code': 'code', 'state': 'foo'})
request.session = {self.oauth.session_key: 'foo'}
self.oauth.get_access_token(request)
self.assertTrue(requests.called)
args, kwargs = requests.call_args
params = kwargs['data']
self.assertEqual(params['redirect_uri'], 'http://testserver/callback/')
self.assertEqual(params['code'], 'code')
self.assertEqual(params['grant_type'], 'authorization_code')
self.assertEqual(params['client_id'], self.provider.consumer_key)
self.assertEqual(params['client_secret'], self.provider.consumer_secret)
def test_access_token_custom_callback(self, requests):
"Check parameters used with custom callback."
request = self.factory.get('/callback/', {'code': 'code', 'state': 'foo'})
request.session = {self.oauth.session_key: 'foo'}
self.oauth.get_access_token(request, callback='/other/')
self.assertTrue(requests.called)
args, kwargs = requests.call_args
params = kwargs['data']
self.assertEqual(params['redirect_uri'], 'http://testserver/other/')
self.assertEqual(params['code'], 'code')
self.assertEqual(params['grant_type'], 'authorization_code')
self.assertEqual(params['client_id'], self.provider.consumer_key)
self.assertEqual(params['client_secret'], self.provider.consumer_secret)
def test_access_token_no_code(self, requests):
"Don't request token if no code was given to the callback."
request = self.factory.get('/callback/', {'state': 'foo'})
request.session = {self.oauth.session_key: 'foo'}
token = self.oauth.get_access_token(request)
self.assertEqual(token, None)
self.assertFalse(requests.called)
def test_access_token_response(self, requests):
"Return full response text without parsing key/secret."
response = Mock()
response.text = 'access_token=USER_ACCESS_TOKEN'
requests.return_value = response
request = self.factory.get('/callback/', {'code': 'code', 'state': 'foo'})
request.session = {self.oauth.session_key: 'foo'}
token = self.oauth.get_access_token(request)
self.assertEqual(token, 'access_token=USER_ACCESS_TOKEN')
def test_access_token_failure(self, requests):
"Handle upstream server errors when fetching access token."
requests.side_effect = RequestException('Server Down')
request = self.factory.get('/callback/', {'code': 'code', 'state': 'foo'})
request.session = {self.oauth.session_key: 'foo'}
token = self.oauth.get_access_token(request)
self.assertEqual(token, None)
def test_profile_info_auth(self, requests):
"Pass access token when requesting profile info."
raw_token = 'access_token=USER_ACCESS_TOKEN'
self.oauth.get_profile_info(raw_token)
self.assertTrue(requests.called)
args, kwargs = requests.call_args
self.assertEqual(kwargs['params']['access_token'], 'USER_ACCESS_TOKEN')
def test_profile_info_url(self, requests):
"Make get request for profile url."
raw_token = 'access_token=USER_ACCESS_TOKEN'
self.oauth.get_profile_info(raw_token)
self.assertTrue(requests.called)
args, kwargs = requests.call_args
method, url = args
self.assertEqual(method, 'get')
self.assertEqual(url, self.provider.profile_url)
def test_profile_info_failure(self, requests):
"Handle upstream server errors when fetching profile info."
requests.side_effect = RequestException('Server Down')
raw_token = 'access_token=USER_ACCESS_TOKEN'
response = self.oauth.get_profile_info(raw_token)
self.assertEqual(response, None)
def test_parse_token_response_json(self, requests):
"Parse token response which is JSON encoded per spec."
raw_token = '{"access_token": "USER_ACCESS_TOKEN"}'
token, secret = self.oauth.parse_raw_token(raw_token)
self.assertEqual(token, 'USER_ACCESS_TOKEN')
self.assertEqual(secret, None)
def test_parse_error_response_json(self, requests):
"Parse token error response which is JSON encoded per spec."
raw_token = '{"error": "invalid_request"}'
token, secret = self.oauth.parse_raw_token(raw_token)
self.assertEqual(token, None)
self.assertEqual(secret, None)
def test_parse_token_response_query(self, requests):
"Parse token response which is url encoded (FB)."
raw_token = 'access_token=USER_ACCESS_TOKEN'
token, secret = self.oauth.parse_raw_token(raw_token)
self.assertEqual(token, 'USER_ACCESS_TOKEN')
self.assertEqual(secret, None)
def test_parse_invalid_token_response(self, requests):
"Parse garbage token response."
raw_token = 'XXXXX'
token, secret = self.oauth.parse_raw_token(raw_token)
self.assertEqual(token, None)
self.assertEqual(secret, None)
def test_access_token_no_state_session(self, requests):
"Handle no state found in the session."
request = self.factory.get('/callback/', {'code': 'code', 'state': 'foo'})
request.session = {}
response = self.oauth.get_access_token(request)
self.assertEqual(response, None)
self.assertFalse(requests.called)
def test_access_token_no_state_provider(self, requests):
"Handle no state returned by the provider."
request = self.factory.get('/callback/', {'code': 'code'})
request.session = {self.oauth.session_key: 'foo'}
response = self.oauth.get_access_token(request)
self.assertEqual(response, None)
self.assertFalse(requests.called)
def test_access_token_state_incorrect(self, requests):
"Handle invalid state returned by the provider"
request = self.factory.get('/callback/', {'code': 'code', 'state': 'bar'})
request.session = {self.oauth.session_key: 'foo'}
response = self.oauth.get_access_token(request)
self.assertEqual(response, None)
self.assertFalse(requests.called)
def test_request_with_user_token(self, requests):
"Use token for request auth."
token = '{"access_token": "USER_ACCESS_TOKEN"}'
self.oauth = self.oauth_client(self.provider, token=token)
self.oauth.request('get', 'http://example.com/')
self.assertTrue(requests.called)
args, kwargs = requests.call_args
self.assertEqual(kwargs['params']['access_token'], 'USER_ACCESS_TOKEN')
| 48.595855 | 100 | 0.685254 | 2,231 | 18,758 | 5.560735 | 0.074854 | 0.094309 | 0.05586 | 0.038933 | 0.868934 | 0.83637 | 0.807351 | 0.785426 | 0.769628 | 0.746897 | 0 | 0.000929 | 0.196236 | 18,758 | 385 | 101 | 48.722078 | 0.821914 | 0.098571 | 0 | 0.675595 | 0 | 0 | 0.237978 | 0.052351 | 0 | 0 | 0 | 0 | 0.300595 | 1 | 0.110119 | false | 0.002976 | 0.017857 | 0 | 0.145833 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
96ec3fb76d704370e189b2784c1303e19827fa57 | 34 | py | Python | haha.py | ZoeDuan2021/532Project1 | baf7f098f51cf084dcf5d030643455e8080ceb6a | [
"MIT"
] | null | null | null | haha.py | ZoeDuan2021/532Project1 | baf7f098f51cf084dcf5d030643455e8080ceb6a | [
"MIT"
] | null | null | null | haha.py | ZoeDuan2021/532Project1 | baf7f098f51cf084dcf5d030643455e8080ceb6a | [
"MIT"
] | null | null | null | import numpy as np
print("Haha")
| 8.5 | 18 | 0.705882 | 6 | 34 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.176471 | 34 | 3 | 19 | 11.333333 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 6 |
8c03fb9c2d3b00da7f46e31ba6c52a46d9584b46 | 90 | py | Python | orderprocessing/utilities/__init__.py | iomegak12/intel-training-usecase-1 | 0d1ab6f6076f46f7fbb290ceb41d6b851da1af3a | [
"MIT"
] | null | null | null | orderprocessing/utilities/__init__.py | iomegak12/intel-training-usecase-1 | 0d1ab6f6076f46f7fbb290ceb41d6b851da1af3a | [
"MIT"
] | null | null | null | orderprocessing/utilities/__init__.py | iomegak12/intel-training-usecase-1 | 0d1ab6f6076f46f7fbb290ceb41d6b851da1af3a | [
"MIT"
] | null | null | null | from .table_generator import TableGenerator
from .figlet_generator import FigletGenerator
| 30 | 45 | 0.888889 | 10 | 90 | 7.8 | 0.7 | 0.384615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088889 | 90 | 2 | 46 | 45 | 0.95122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8c064217ccd593e1939940bc30c24206307ef74c | 189 | py | Python | first/app/infra/external/interfaces/spotify_api.py | OscarSilvaOfficial/Ifood-Challenges | d97290b26ca4dec62e92823fe2c6e27a9e4c8248 | [
"MIT"
] | null | null | null | first/app/infra/external/interfaces/spotify_api.py | OscarSilvaOfficial/Ifood-Challenges | d97290b26ca4dec62e92823fe2c6e27a9e4c8248 | [
"MIT"
] | null | null | null | first/app/infra/external/interfaces/spotify_api.py | OscarSilvaOfficial/Ifood-Challenges | d97290b26ca4dec62e92823fe2c6e27a9e4c8248 | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
class SpotifyAPI(ABC):
@abstractmethod
def get_playlist(self, playlist_id):
pass
@abstractmethod
def get_playlist_tracks(self):
pass | 17.181818 | 38 | 0.740741 | 23 | 189 | 5.913043 | 0.565217 | 0.25 | 0.294118 | 0.411765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 189 | 11 | 39 | 17.181818 | 0.888889 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.25 | 0.125 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
8c28b298d8dcb651bce6f3ffc5291e2d042f5cd8 | 116 | py | Python | devilry/devilry_gradeform/views/points_grade_form.py | aless80/devilry-django | 416c262e75170d5662542f15e2d7fecf5ab84730 | [
"BSD-3-Clause"
] | 29 | 2015-01-18T22:56:23.000Z | 2020-11-10T21:28:27.000Z | devilry/devilry_gradeform/views/points_grade_form.py | aless80/devilry-django | 416c262e75170d5662542f15e2d7fecf5ab84730 | [
"BSD-3-Clause"
] | 786 | 2015-01-06T16:10:18.000Z | 2022-03-16T11:10:50.000Z | devilry/devilry_gradeform/views/points_grade_form.py | aless80/devilry-django | 416c262e75170d5662542f15e2d7fecf5ab84730 | [
"BSD-3-Clause"
] | 15 | 2015-04-06T06:18:43.000Z | 2021-02-24T12:28:30.000Z | from . import grade_form
class PointsGradeForm(grade_form.AbstractGradeForm):
def __init__(self):
pass | 19.333333 | 52 | 0.741379 | 13 | 116 | 6.153846 | 0.846154 | 0.225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.189655 | 116 | 6 | 53 | 19.333333 | 0.851064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.25 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 |
4fd368e8ef96851c1d38772436877c33e5808f7b | 35 | py | Python | 03_GraphBasedPlanner/graph_ltpl/helper_funcs/__init__.py | f1tenth/ESweek2021_educationclassA3 | 7620a36d21c1824efba8a83f0671926bf8e028f3 | [
"MIT"
] | 15 | 2021-10-09T13:48:49.000Z | 2022-03-27T04:36:44.000Z | 03_GraphBasedPlanner/graph_ltpl/helper_funcs/__init__.py | yinflight/ESweek2021_educationclassA3 | 7a32bacdb7f3154a773d28b6b6abffdaa154a526 | [
"MIT"
] | 1 | 2021-11-27T01:47:25.000Z | 2021-11-27T02:44:04.000Z | 03_GraphBasedPlanner/graph_ltpl/helper_funcs/__init__.py | yinflight/ESweek2021_educationclassA3 | 7a32bacdb7f3154a773d28b6b6abffdaa154a526 | [
"MIT"
] | 2 | 2021-11-03T19:32:55.000Z | 2021-11-27T02:43:13.000Z | import graph_ltpl.helper_funcs.src
| 17.5 | 34 | 0.885714 | 6 | 35 | 4.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057143 | 35 | 1 | 35 | 35 | 0.878788 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8b16dad164025c128da149a7cfe449cec9fed656 | 21 | py | Python | mpify/__init__.py | philtrade/mpify | 546528dae5f671699f17bd336a6f3456617e45c8 | [
"Apache-2.0"
] | 9 | 2020-07-22T04:15:27.000Z | 2022-02-04T03:28:25.000Z | mpify/__init__.py | philtrade/mpify | 546528dae5f671699f17bd336a6f3456617e45c8 | [
"Apache-2.0"
] | null | null | null | mpify/__init__.py | philtrade/mpify | 546528dae5f671699f17bd336a6f3456617e45c8 | [
"Apache-2.0"
] | null | null | null | from .mpify import *
| 10.5 | 20 | 0.714286 | 3 | 21 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 21 | 1 | 21 | 21 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8c83a443a1c69372ca9aeff058810a0897860c51 | 47 | py | Python | solvers/external/__init__.py | xcsp3team/pycsp3 | a11bc370e34cd3fe37faeae9a5df935fcbd7770d | [
"MIT"
] | 28 | 2019-12-14T09:25:52.000Z | 2022-03-24T08:15:13.000Z | solvers/external/__init__.py | xcsp3team/pycsp3 | a11bc370e34cd3fe37faeae9a5df935fcbd7770d | [
"MIT"
] | 7 | 2020-04-15T11:02:07.000Z | 2022-01-20T12:48:54.000Z | solvers/external/__init__.py | xcsp3team/pycsp3 | a11bc370e34cd3fe37faeae9a5df935fcbd7770d | [
"MIT"
] | 3 | 2020-04-15T08:23:45.000Z | 2021-12-07T14:02:28.000Z | from pycsp3.solvers.external.external import *
| 23.5 | 46 | 0.829787 | 6 | 47 | 6.5 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023256 | 0.085106 | 47 | 1 | 47 | 47 | 0.883721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8cc66711b7cc3e6b109ebf6d959bf5c17e2e67a4 | 329 | py | Python | hashicorp_vault_client/hashicorp_vault_client/api/__init__.py | drewmullen/HAC | fb185804fd244366f8f8d01df22835b3d96e7512 | [
"Apache-2.0"
] | null | null | null | hashicorp_vault_client/hashicorp_vault_client/api/__init__.py | drewmullen/HAC | fb185804fd244366f8f8d01df22835b3d96e7512 | [
"Apache-2.0"
] | 2 | 2019-09-30T20:56:41.000Z | 2019-10-02T00:22:07.000Z | hashicorp_vault_client/hashicorp_vault_client/api/__init__.py | drewmullen/HAC | fb185804fd244366f8f8d01df22835b3d96e7512 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
# flake8: noqa
# import apis into api package
from hashicorp_vault_client.api.auth_api import AuthApi
from hashicorp_vault_client.api.identity_api import IdentityApi
from hashicorp_vault_client.api.secrets_api import SecretsApi
from hashicorp_vault_client.api.system_api import SystemApi
| 32.9 | 63 | 0.87234 | 48 | 329 | 5.625 | 0.4375 | 0.192593 | 0.266667 | 0.355556 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003356 | 0.094225 | 329 | 9 | 64 | 36.555556 | 0.902685 | 0.12462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8cf1638f2bd807d8d6afb4cb36be3bb1ffbfe22d | 155 | py | Python | sleeper_analyzer/exceptions.py | Saciotto/Sleeper-football-fantasy-analyzer | f49d51c6286b7291a6253180f0522d99db820228 | [
"MIT"
] | null | null | null | sleeper_analyzer/exceptions.py | Saciotto/Sleeper-football-fantasy-analyzer | f49d51c6286b7291a6253180f0522d99db820228 | [
"MIT"
] | null | null | null | sleeper_analyzer/exceptions.py | Saciotto/Sleeper-football-fantasy-analyzer | f49d51c6286b7291a6253180f0522d99db820228 | [
"MIT"
] | null | null | null | class LeagueNotFoundException(Exception):
pass
class UserNotFoundException(Exception):
pass
class RosterNotFoundException(Exception):
pass
| 14.090909 | 41 | 0.780645 | 12 | 155 | 10.083333 | 0.5 | 0.322314 | 0.297521 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 155 | 10 | 42 | 15.5 | 0.930769 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
8cfb319c69821a4dce9bb71b474383c126bc4508 | 9,427 | py | Python | tests/test_onefs_view.py | willnx/vlab_onefs | df90738806a5a4800b91e62f79090a11a0b01088 | [
"Apache-2.0"
] | 1 | 2019-04-10T16:17:18.000Z | 2019-04-10T16:17:18.000Z | tests/test_onefs_view.py | willnx/vlab_onefs | df90738806a5a4800b91e62f79090a11a0b01088 | [
"Apache-2.0"
] | 2 | 2018-11-16T19:35:14.000Z | 2019-05-22T19:00:38.000Z | tests/test_onefs_view.py | willnx/vlab_onefs | df90738806a5a4800b91e62f79090a11a0b01088 | [
"Apache-2.0"
] | null | null | null | # -*- coding: UTF-8 -*-
"""
A suite of tests for the onefsView object
"""
import unittest
from unittest.mock import patch, MagicMock
import ujson
from flask import Flask
from vlab_api_common import flask_common
from vlab_api_common.http_auth import generate_v2_test_token
from vlab_onefs_api.lib.views import onefs
class TestOneFSView(unittest.TestCase):
"""A set of test cases for the OneFSView object"""
@classmethod
def setUpClass(cls):
"""Runs once for the whole test suite"""
cls.token = generate_v2_test_token(username='bob')
@classmethod
def setUp(cls):
"""Runs before every test case"""
app = Flask(__name__)
onefs.OneFSView.register(app)
app.config['TESTING'] = True
cls.app = app.test_client()
# Mock Celery
cls.celery_app = MagicMock()
app.celery_app = cls.celery_app
cls.fake_task = MagicMock()
cls.fake_task.id = 'asdf-asdf-asdf'
app.celery_app.send_task.return_value = cls.fake_task
def test_v1_deprecated(self):
"""OneFSView - GET on /api/1/inf/onefs returns an HTTP 404"""
resp = self.app.get('/api/1/inf/onefs',
headers={'X-Auth': self.token})
status = resp.status_code
expected = 404
self.assertEqual(status, expected)
def test_get_task(self):
"""OneFSView - GET on /api/2/inf/onefs returns a task-id"""
resp = self.app.get('/api/2/inf/onefs',
headers={'X-Auth': self.token})
task_id = resp.json['content']['task-id']
expected = 'asdf-asdf-asdf'
self.assertEqual(task_id, expected)
def test_get_task_link(self):
"""OneFSView - GET on /api/2/inf/onefs sets the Link header"""
resp = self.app.get('/api/2/inf/onefs',
headers={'X-Auth': self.token})
task_id = resp.headers['Link']
expected = '<https://localhost/api/2/inf/onefs/task/asdf-asdf-asdf>; rel=status'
self.assertEqual(task_id, expected)
def test_post_task(self):
"""OneFSView - POST on /api/2/inf/onefs returns a task-id"""
resp = self.app.post('/api/2/inf/onefs',
headers={'X-Auth': self.token},
json={'name': "isiO1",
'image': "8.0.0.4",
'frontend': "externalNetwork",
'backend': "internalNetwork"})
task_id = resp.json['content']['task-id']
expected = 'asdf-asdf-asdf'
self.assertEqual(task_id, expected)
def test_post_task_link(self):
"""OneFSView - POST on /api/2/inf/onefs sets the Link header"""
resp = self.app.post('/api/2/inf/onefs',
headers={'X-Auth': self.token},
json={'name': "isiO1",
'image': "8.0.0.4",
'frontend': "externalNetwork",
'backend': "internalNetwork"})
task_id = resp.headers['Link']
expected = '<https://localhost/api/2/inf/onefs/task/asdf-asdf-asdf>; rel=status'
self.assertEqual(task_id, expected)
def test_delete_task(self):
"""OneFSView - DELETE on /api/2/inf/onefs returns a task-id"""
resp = self.app.delete('/api/2/inf/onefs',
headers={'X-Auth': self.token},
json={'name': "isi01"})
task_id = resp.json['content']['task-id']
expected = 'asdf-asdf-asdf'
self.assertEqual(task_id, expected)
def test_delete_task_link(self):
"""OneFSView - DELETE on /api/2/inf/onefs sets the Link header"""
resp = self.app.delete('/api/2/inf/onefs',
headers={'X-Auth': self.token},
json={'name': "isi01"})
task_id = resp.headers['Link']
expected = '<https://localhost/api/2/inf/onefs/task/asdf-asdf-asdf>; rel=status'
self.assertEqual(task_id, expected)
def test_get_image_task(self):
"""OneFSView - GET on /api/2/inf/onefs/image returns a task-id"""
resp = self.app.get('/api/2/inf/onefs/image',
headers={'X-Auth': self.token})
task_id = resp.json['content']['task-id']
expected = 'asdf-asdf-asdf'
self.assertEqual(task_id, expected)
def test_get_image_task_link(self):
"""OneFSView - GET on /api/2/inf/onefs/image sets the Link header"""
resp = self.app.get('/api/2/inf/onefs/image',
headers={'X-Auth': self.token})
task_id = resp.headers['Link']
expected = '<https://localhost/api/2/inf/onefs/task/asdf-asdf-asdf>; rel=status'
self.assertEqual(task_id, expected)
def test_post_config_ok(self):
"""OneFSView - POST on /api/2/inf/onefs/config returns 202 upon success"""
payload = {"cluster_name": "mycluster",
"name": "mycluster-1",
"version": "8.0.0.4",
"int_netmask": "255.255.255.0",
"int_ip_low": "4.4.4.4",
"int_ip_high": "4.4.4.40",
"ext_netmask": "255.255.255.0",
"ext_ip_low": "10.1.1.2",
"ext_ip_high": "10.1.1.20",
"smartconnect_ip": "10.1.1.21",
"gateway": "10.1.1.1",
"encoding": "utf-8",
"sc_zonename": "myzone.foo.com",
"dns_servers": ['1.1.1.1', '8.8.8.8']
}
resp = self.app.post('/api/2/inf/onefs/config',
json=payload,
headers={'X-Auth': self.token})
expected = 202
self.assertEqual(resp.status_code, expected)
def test_post_config_bad_input(self):
"""OneFSView - POST on /api/2/inf/onefs/config returns 400 when supplied with bad input"""
payload = {"cluster_name": "mycluster",
"name": "mycluster-1",
"version": "8.0.0.4",
"int_netmask": "255.255.255.0",
"int_ip_low": "4.4.4.4",
"int_ip_high": "4.4.4.40",
"ext_netmask": "255.255.255.0",
"ext_ip_low": "10.100.1.2",
"ext_ip_high": "10.1.1.20",
"smartconnect_ip": "10.1.1.21",
"gateway": "10.1.1.1",
"encoding": "utf-8",
"sc_zonename": "myzone.foobar.com",
"dns_servers": ['1.1.1.1', '8.8.8.8']
}
resp = self.app.post('/api/2/inf/onefs/config',
json=payload,
headers={'X-Auth': self.token})
expected = 400
self.assertEqual(resp.status_code, expected)
def test_post_config_compliance_default(self):
"""OneFSView - POST on /api/2/inf/onefs/config - the 'compliance' param defaults to False"""
payload = {"cluster_name": "mycluster",
"name": "mycluster-1",
"version": "8.0.0.4",
"int_netmask": "255.255.255.0",
"int_ip_low": "4.4.4.4",
"int_ip_high": "4.4.4.40",
"ext_netmask": "255.255.255.0",
"ext_ip_low": "10.1.1.2",
"ext_ip_high": "10.1.1.20",
"smartconnect_ip": "10.1.1.21",
"gateway": "10.1.1.1",
"encoding": "utf-8",
"sc_zonename": "myzone.foo.com",
"dns_servers": ['1.1.1.1', '8.8.8.8']
}
resp = self.app.post('/api/2/inf/onefs/config',
json=payload,
headers={'X-Auth': self.token})
_, the_kwargs = self.celery_app.send_task.call_args
compliance = the_kwargs['kwargs']['compliance']
self.assertFalse(compliance)
def test_post_config_compliance(self):
"""OneFSView - POST on /api/2/inf/onefs/config - the 'compliance' is a boolean when set"""
payload = {"cluster_name": "mycluster",
"name": "mycluster-1",
"version": "8.0.0.4",
"int_netmask": "255.255.255.0",
"int_ip_low": "4.4.4.4",
"int_ip_high": "4.4.4.40",
"ext_netmask": "255.255.255.0",
"ext_ip_low": "10.1.1.2",
"ext_ip_high": "10.1.1.20",
"smartconnect_ip": "10.1.1.21",
"gateway": "10.1.1.1",
"encoding": "utf-8",
"sc_zonename": "myzone.foo.com",
"compliance" : True,
"dns_servers": ['1.1.1.1', '8.8.8.8']
}
resp = self.app.post('/api/2/inf/onefs/config',
json=payload,
headers={'X-Auth': self.token})
_, the_kwargs = self.celery_app.send_task.call_args
compliance = the_kwargs['kwargs']['compliance']
self.assertTrue(compliance is True) # test for type, there is only one "True" object ever
if __name__ == '__main__':
unittest.main()
| 38.794239 | 100 | 0.50419 | 1,147 | 9,427 | 4.003487 | 0.137751 | 0.013502 | 0.042683 | 0.073171 | 0.780706 | 0.759146 | 0.759146 | 0.752831 | 0.737152 | 0.717117 | 0 | 0.053117 | 0.344967 | 9,427 | 242 | 101 | 38.954545 | 0.690526 | 0.114777 | 0 | 0.714286 | 0 | 0.022857 | 0.247971 | 0.016475 | 0 | 0 | 0 | 0 | 0.074286 | 1 | 0.085714 | false | 0 | 0.04 | 0 | 0.131429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
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