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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5827c6cebe36b1a528de3d4280d49128d938f1fd | 40 | py | Python | federation_api/__init__.py | practo/federation | e316201d9b96ea1a7f6d3e9df63747b9c7c8a99e | [
"MIT"
] | null | null | null | federation_api/__init__.py | practo/federation | e316201d9b96ea1a7f6d3e9df63747b9c7c8a99e | [
"MIT"
] | null | null | null | federation_api/__init__.py | practo/federation | e316201d9b96ea1a7f6d3e9df63747b9c7c8a99e | [
"MIT"
] | null | null | null | # TODO: This file should autoload files
| 20 | 39 | 0.775 | 6 | 40 | 5.166667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175 | 40 | 1 | 40 | 40 | 0.939394 | 0.925 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 1 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
5847e2476b65b1d748c294d8264b148b946bcfc5 | 165 | py | Python | include/__init__.py | MLI-lab/overparameterized_convolutional_generators | ef2fae85768f1954dbd1ead75b9ba8e214c13230 | [
"Apache-1.1"
] | 13 | 2019-11-02T11:41:42.000Z | 2022-03-21T02:53:18.000Z | include/__init__.py | MLI-lab/overparameterized_convolutional_generators | ef2fae85768f1954dbd1ead75b9ba8e214c13230 | [
"Apache-1.1"
] | null | null | null | include/__init__.py | MLI-lab/overparameterized_convolutional_generators | ef2fae85768f1954dbd1ead75b9ba8e214c13230 | [
"Apache-1.1"
] | 5 | 2019-11-17T13:33:02.000Z | 2021-11-19T10:02:12.000Z | from .transforms import *
from .wavelet import *
from .decoder import *
from .visualize import *
from .fit import *
from .helpers import *
from .compression import * | 23.571429 | 26 | 0.751515 | 21 | 165 | 5.904762 | 0.428571 | 0.483871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.163636 | 165 | 7 | 26 | 23.571429 | 0.898551 | 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 |
587d73855179fcc0d2e303d30e2a4dd4872cd1fb | 6,559 | py | Python | code/evaluation_test_shape_net.py | ricklentz/2dimageto3dmodel | 52647408c419f9626133c79c7ce884bb01ac5f72 | [
"MIT"
] | 150 | 2021-03-08T05:25:22.000Z | 2022-03-31T12:39:10.000Z | code/evaluation_test_shape_net.py | ricklentz/2dimageto3dmodel | 52647408c419f9626133c79c7ce884bb01ac5f72 | [
"MIT"
] | 11 | 2021-03-30T12:09:35.000Z | 2022-02-22T05:55:38.000Z | code/evaluation_test_shape_net.py | ricklentz/2dimageto3dmodel | 52647408c419f9626133c79c7ce884bb01ac5f72 | [
"MIT"
] | 13 | 2021-04-19T05:48:05.000Z | 2022-03-11T15:30:48.000Z | from data.shape_net_dataset import DataBunch
from models.unsupervised_part import UnsupervisedPart
from training_test_shape_net import parameter_adjustment
import torch
import matplotlib.pyplot as plt
import torchvision.transforms.functional as T
import pandas as pd
def training_pyplot(projections, poses):
plt.figure(figsize=(10, 10))
for i in range(5):
plt.subplot(5, 5, i * 5 + 1)
if i == 0:
plt.title("Pose", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.imshow(T.to_pil_image(poses[i]))
plt.axis(False)
for j in range(4):
plt.subplot(5, 5, i * 5 + j + 2)
if i == 0:
plt.title(f"Canditate {j+1}", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.imshow(T.to_pil_image(projections[i * 4 + j]), cmap='gray')
plt.axis(False)
plt.show()
def evaluation_pyplot(projections, poses, masks):
plt.figure(figsize=(6, 10))
for i in range(5):
plt.subplot(5, 3, i * 3 + 1)
if i == 0:
plt.title("Image", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.imshow(T.to_pil_image(poses[i]))
plt.axis(False)
plt.subplot(5, 3, i * 3 + 2)
if i == 0:
plt.title("Mask", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.imshow(T.to_pil_image(masks.detach()[i]), cmap='gray')
plt.axis(False)
plt.subplot(5, 3, i * 3 + 3)
if i == 0:
plt.title("Student Projection", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.imshow(projections[i].detach(), cmap='gray')
plt.axis(False)
plt.show()
if __name__ == "__main__":
# evaluation
data = DataBunch(file_path="data", batch_size=2, is_camera_used=False)
model = UnsupervisedPart()
checkpoint = torch.load("chairs_unsupervised/models/model_91000.pth", map_location="cpu")
model.load_state_dict(checkpoint["model"])
parameter_adjustment(model, 91 / 130)
images, poses, masks = data.train_ds[1]
model.eval()
projection, student = model(images[4].unsqueeze(0), poses)
projection = projection.cpu().detach()
evaluation_pyplot(projections=projection, poses=poses, masks=masks)
# train
model.train()
proj, ensemble, student = model(images[4].unsqueeze(0), poses)
proj = proj.detach()
training_pyplot(projections=projection, poses=poses)
full_loss = pd.read_csv("chairs_unsupervised/train_full_loss.csv")
fig = plt.figure(figsize=(8, 5))
plt.plot(full_loss.Step, full_loss.Value, c="blue", alpha=0.4)
plt.plot(full_loss.Step, full_loss.Value.rolling(10).mean(), label="Full Loss", c="blue")
plt.ylabel("Unsupervised loss", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.xlabel("Step", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.xticks(**{'fontname': 'DejaVu Serif', 'size': 12})
plt.yticks(**{'fontname': 'DejaVu Serif', 'size': 12})
plt.legend(prop={"size": 12})
plt.show()
#################################################################################################################
data = DataBunch(file_path="data", category_of_choice="planes", image_size=64, batch_size=2, is_camera_used=False)
model = UnsupervisedPart(image_size=64, voxel_size=32, number_of_point_cloud_points=2000)
checkpoint = torch.load("planes_unsupervised/models/model_30000.pth", map_location='cpu')
model.load_state_dict(checkpoint['model'])
model.point_cloud_drop_out.p = 1.0
images, poses, masks = data.train_ds[1002]
model.eval()
projections, student = model(images[3].unsqueeze(0), poses)
evaluation_pyplot(projections=projection, poses=poses, masks=masks)
model.train()
projections, ensemble, student = model(images[3].unsqueeze(0), poses)
training_pyplot(projections=projection, poses=poses)
full_loss = pd.read_csv("planes_unsupervised/full_loss.csv")
plt.figure(figsize=(8, 5))
plt.plot(full_loss.Step, full_loss.Value, alpha=0.4, c="blue")
plt.plot(full_loss.Step, full_loss.Value.rolling(10).mean(), label="Full Loss", c="blue")
plt.ylabel("Unsupervised loss", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.xlabel("Step", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.xticks(**{'fontname': 'DejaVu Serif', 'size': 12})
plt.yticks(**{'fontname': 'DejaVu Serif', 'size': 12})
plt.legend(prop={"size": 12})
plt.show()
#################################################################################################################
data = DataBunch(file_path="data", category_of_choice="cars", image_size=64, batch_size=2, is_camera_used=False)
model = UnsupervisedPart(image_size=64, voxel_size=32, number_of_point_cloud_points=2000)
checkpoint = torch.load("cars_unsupervised/models/model_30000.pth", map_location='cpu')
model.load_state_dict(checkpoint['model'])
model.point_cloud_drop_out.p = 1.0
images, poses, masks = data.train_ds[1002]
model.eval()
projections, student = model(images[3].unsqueeze(0), poses)
evaluation_pyplot(projections=projection, poses=poses, masks=masks)
model.train()
projections, ensemble, student = model(images[3].unsqueeze(0), poses)
training_pyplot(projections=projection, poses=poses)
full_loss = pd.read_csv("cars_unsupervised/full_loss.csv")
plt.figure(figsize=(8, 5))
plt.plot(full_loss.Step, full_loss.Value, alpha=0.4, c="blue")
plt.plot(full_loss.Step, full_loss.Value.rolling(10).mean(), label="Full Loss", c="blue")
plt.ylabel("Unsupervised loss", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.xlabel("Step", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.xticks(**{'fontname': 'DejaVu Serif', 'size': 12})
plt.yticks(**{'fontname': 'DejaVu Serif', 'size': 12})
plt.legend(prop={"size": 12})
plt.show()
#################################################################################################################
# full loss
full_loss = pd.read_csv("full_loss.csv")
plt.figure(figsize=(8, 5))
plt.plot(full_loss.Step, full_loss.Value, alpha=0.4, c="blue")
plt.plot(full_loss.Step, full_loss.Value.rolling(10).mean(), label="Full Loss", c="blue")
plt.ylabel("Unsupervised loss", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.xlabel("Step", **{'fontname': 'DejaVu Serif', 'size': 12})
plt.xticks(**{'fontname': 'DejaVu Serif', 'size': 12})
plt.yticks(**{'fontname': 'DejaVu Serif', 'size': 12})
plt.legend(prop={"size": 12})
plt.show()
| 36.848315 | 118 | 0.613661 | 857 | 6,559 | 4.558926 | 0.15986 | 0.059381 | 0.057589 | 0.123624 | 0.816739 | 0.802918 | 0.775531 | 0.735603 | 0.721014 | 0.685692 | 0 | 0.032935 | 0.171368 | 6,559 | 177 | 119 | 37.056497 | 0.685925 | 0.003964 | 0 | 0.616667 | 0 | 0 | 0.165428 | 0.036672 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016667 | false | 0 | 0.058333 | 0 | 0.075 | 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 |
5893f51f62d1c35e77da8a9060ae505799630e34 | 8,776 | py | Python | sort_profiles.py | SlaveForGluten/Goatbook | acc5f87984a92fd4cec7fb9d71a0138ab2d3d13d | [
"MIT"
] | 1 | 2019-09-11T04:40:21.000Z | 2019-09-11T04:40:21.000Z | sort_profiles.py | SlaveForGluten/Goatbook | acc5f87984a92fd4cec7fb9d71a0138ab2d3d13d | [
"MIT"
] | null | null | null | sort_profiles.py | SlaveForGluten/Goatbook | acc5f87984a92fd4cec7fb9d71a0138ab2d3d13d | [
"MIT"
] | null | null | null | """clear data and sort profiles for compare_profiles.py module"""
# !/usr/bin/python
# -*- coding: utf-8 -*-
import get_date
import set_options
def show(profiles, show, sorting_criteria):
"""type of profiles to be displayed (active, all, inactive etc.)"""
language_dict = set_options.Options()
language_dict.get_text_dict("compare_profiles_tab")
lang_dict = language_dict.widget_text_dictionary
filtered_profiles = list()
if show == lang_dict["pick_prof_tuple1"]:
for prof in profiles:
if prof['SOLD'] == 'not_sold' and prof['DATE_OF_DEATH'] == '':
filtered_profiles.append(prof)
return sort(filtered_profiles, sorting_criteria, lang_dict)
if show == lang_dict["pick_prof_tuple2"]:
for prof in profiles:
if(prof['SOLD'] == 'not_sold' and
prof['DATE_OF_DEATH'] == '' and
prof['GENDER'] == 'female'):
filtered_profiles.append(prof)
return sort(filtered_profiles, sorting_criteria, lang_dict)
if show == lang_dict["pick_prof_tuple3"]:
for prof in profiles:
if(prof['SOLD'] == 'not_sold' and
prof['DATE_OF_DEATH'] == '' and
prof['GENDER'] == 'male'):
filtered_profiles.append(prof)
return sort(filtered_profiles, sorting_criteria, lang_dict)
if show == lang_dict["pick_prof_tuple4"]:
for prof in profiles:
if prof['SOLD'] == 'sold' or prof['DATE_OF_DEATH'] != '':
filtered_profiles.append(prof)
return sort(filtered_profiles, sorting_criteria, lang_dict)
if show == lang_dict["pick_prof_tuple5"]:
return sort(profiles, sorting_criteria, lang_dict)
def sort(profiles, sorting_criteria, lang_dict):
"""
sort profiles that were filtered by show function
some of the categories: name a-z,name z-a, age low-high etc.
"""
list_of_values = list()
sorted_profiles = list()
if sorting_criteria == lang_dict["sort_prof_tuple1"]:
for prof in profiles:
list_of_values.append(prof['NAME'])
list_of_values.sort()
for name in list_of_values:
for prof in profiles:
if name == prof['NAME']:
sorted_profiles.append(prof)
elif sorting_criteria == lang_dict["sort_prof_tuple2"]:
for prof in profiles:
list_of_values.append(prof['NAME'])
list_of_values.sort(reverse=True)
for name in list_of_values:
for prof in profiles:
if name == prof['NAME']:
sorted_profiles.append(prof)
elif sorting_criteria == lang_dict["sort_prof_tuple3"]:
counter = 60
while counter > 0:
for prof in profiles:
if prof["GENDER"] == "female":
if prof["MILKING"] != "":
milking = int(prof["MILKING"][0]+prof["MILKING"][2])
if milking == counter:
sorted_profiles.append(prof)
counter -= 1
for prof in profiles:
if prof["GENDER"] == "female":
if prof["MILKING"] == "":
sorted_profiles.append(prof)
for prof in profiles:
if prof["GENDER"] == "male":
sorted_profiles.append(prof)
elif sorting_criteria == lang_dict["sort_prof_tuple4"]:
counter = 0
while counter < 60:
for prof in profiles:
if prof["GENDER"] == "female":
if prof["MILKING"] != "":
milking = int(prof["MILKING"][0]+prof["MILKING"][2])
if milking == counter:
sorted_profiles.append(prof)
counter += 1
for prof in profiles:
if prof["GENDER"] == "female":
if prof["MILKING"] == "":
sorted_profiles.append(prof)
for prof in profiles:
if prof["GENDER"] == "male":
sorted_profiles.append(prof)
elif sorting_criteria == lang_dict["sort_prof_tuple5"]:
counter = 20
while counter > 0:
for prof in profiles:
if prof["DATE_OF_BIRTH"] != "":
age = int(
prof["DATE_OF_BIRTH"][11:13].strip(lang_dict["age"]))
if age == counter:
sorted_profiles.append(prof)
counter -= 1
for prof in profiles:
if prof["DATE_OF_BIRTH"] == "":
sorted_profiles.append(prof)
elif sorting_criteria == lang_dict["sort_prof_tuple6"]:
counter = 0
while counter < 20:
for prof in profiles:
if prof["DATE_OF_BIRTH"] != "":
age = int(
prof["DATE_OF_BIRTH"][11:13].strip(lang_dict["age"]))
if age == counter:
sorted_profiles.append(prof)
counter += 1
for prof in profiles:
if prof["DATE_OF_BIRTH"] == "":
sorted_profiles.append(prof)
elif sorting_criteria == lang_dict["sort_prof_tuple7"]:
for prof in profiles:
if prof['GENDER'] == 'female':
sorted_profiles.append(prof)
for prof in profiles:
if prof['GENDER'] == 'male':
sorted_profiles.append(prof)
return sorted_profiles
def clear_milking(profiles):
"""
from all milking mesurments take the most recent one to display
it in 'compare profiles' window
"""
list_of_values = list()
sorted_profiles = list()
for prof in profiles:
if prof['GENDER'] != 'male':
if prof['MILKING'] != '':
list_of_values = prof['MILKING'].split('@')
list_of_values = list_of_values[len(list_of_values)-1]
list_of_values = list_of_values.split('-')
prof['MILKING'] = list_of_values[1]
sorted_profiles.append(prof)
list_of_values = list()
for prof in profiles:
if prof['GENDER'] == 'female' and prof['MILKING'] == '':
sorted_profiles.append(prof)
if prof['GENDER'] == 'male':
sorted_profiles.append(prof)
return sorted_profiles
def clear_fat_content(profiles):
"""
from all 'fat content' mesurments take the most recent one to display
it in 'compare profiles' window
"""
list_of_values = list()
sorted_profiles = list()
for prof in profiles:
if prof['GENDER'] != 'male':
if prof['FAT_CONTENT'] != '':
list_of_values = prof['FAT_CONTENT'].split('@')
list_of_values = list_of_values[len(list_of_values)-1]
list_of_values = list_of_values.split('-')
prof['FAT_CONTENT'] = list_of_values[1]
sorted_profiles.append(prof)
list_of_values = list()
for prof in profiles:
if prof['GENDER'] == 'female' and prof['FAT_CONTENT'] == '':
sorted_profiles.append(prof)
if prof['GENDER'] == 'male':
sorted_profiles.append(prof)
return sorted_profiles
def clear_date_of_birth(profiles):
"""clear dob input"""
language_dict = set_options.Options()
language_dict.get_text_dict("sort_profiles")
lang_dict = language_dict.widget_text_dictionary
curent_date = get_date.get(0)
sorted_profiles = list()
age = 0
for prof in profiles:
if prof["DATE_OF_BIRTH"] != "" and prof["DATE_OF_DEATH"] == "":
age = curent_date['ViewedYear'] - int(prof["DATE_OF_BIRTH"][6:10])
# lower one year if month of birth is lower than actual month
if(int(prof["DATE_OF_BIRTH"][3:5].strip('0')) >
curent_date['ViewedMonth']):
age -= 1
prof["DATE_OF_BIRTH"] = (prof["DATE_OF_BIRTH"]+"(" + str(age) +
lang_dict["age"] + ")")
sorted_profiles.append(prof)
elif prof["DATE_OF_BIRTH"] != "" and prof["DATE_OF_DEATH"] != "":
age = (int(prof["DATE_OF_DEATH"][6:10]) -
int(prof["DATE_OF_BIRTH"][6:10]))
prof["DATE_OF_BIRTH"] = (prof["DATE_OF_BIRTH"]+"(" +
str(age) + lang_dict["age"] + ")")
sorted_profiles.append(prof)
else:
sorted_profiles.append(prof)
return sorted_profiles
| 37.991342 | 79 | 0.536919 | 983 | 8,776 | 4.554425 | 0.125127 | 0.09694 | 0.108555 | 0.09493 | 0.832477 | 0.817958 | 0.776413 | 0.725709 | 0.717891 | 0.712307 | 0 | 0.010462 | 0.346513 | 8,776 | 230 | 80 | 38.156522 | 0.770183 | 0.062215 | 0 | 0.685083 | 0 | 0 | 0.11571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027624 | false | 0 | 0.01105 | 0 | 0.088398 | 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 |
54a42fd165bb6fdd0c3d4e31f0764e9a3f5c7b99 | 41 | py | Python | ftp_downloader/__init__.py | msubigdata/ftp-downloader | 8b0337cd51c5dc0256fbbacdd25c1e7d3803e623 | [
"MIT"
] | 9 | 2021-03-09T10:08:11.000Z | 2021-08-12T17:04:29.000Z | ftp_downloader/__init__.py | msubigdata/ftp-downloader | 8b0337cd51c5dc0256fbbacdd25c1e7d3803e623 | [
"MIT"
] | null | null | null | ftp_downloader/__init__.py | msubigdata/ftp-downloader | 8b0337cd51c5dc0256fbbacdd25c1e7d3803e623 | [
"MIT"
] | 1 | 2021-08-16T17:31:41.000Z | 2021-08-16T17:31:41.000Z | from .FTPDownloader import FTPDownloader
| 20.5 | 40 | 0.878049 | 4 | 41 | 9 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097561 | 41 | 1 | 41 | 41 | 0.972973 | 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 |
49cdb2709983adbc528f6105ccf6e129517927f6 | 25 | py | Python | evalset/__init__.py | esiivola/evalset | 40e92342c61d7f11f7d7db55d05c4808d151c384 | [
"MIT"
] | null | null | null | evalset/__init__.py | esiivola/evalset | 40e92342c61d7f11f7d7db55d05c4808d151c384 | [
"MIT"
] | null | null | null | evalset/__init__.py | esiivola/evalset | 40e92342c61d7f11f7d7db55d05c4808d151c384 | [
"MIT"
] | null | null | null | from .data_files import * | 25 | 25 | 0.8 | 4 | 25 | 4.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12 | 25 | 1 | 25 | 25 | 0.863636 | 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 |
b712e7e9a99204361f8ab45c76cd8496d89a2cce | 393 | py | Python | pyupdate/updaters/__init__.py | dsal3389/python-updater | 64ab1fcbfaed3bf9682eb5fece596df77a92f5ad | [
"MIT"
] | 2 | 2018-10-05T18:08:51.000Z | 2018-10-05T20:14:17.000Z | pyupdate/updaters/__init__.py | dsal3389/python-updater | 64ab1fcbfaed3bf9682eb5fece596df77a92f5ad | [
"MIT"
] | null | null | null | pyupdate/updaters/__init__.py | dsal3389/python-updater | 64ab1fcbfaed3bf9682eb5fece596df77a92f5ad | [
"MIT"
] | null | null | null | try:
from pyupdate.updaters.update_from_file import UPDATE as update_from_file
from pyupdate.updaters.update_from_lines import UPDATE as update_from_lines
from pyupdate.updaters.replace_files import UPDATE as replace_files
except ModuleNotFoundError:
from .update_from_file import UPDATE as update_from_file
__all__=['update_from_file', 'update_from_lines', 'replace_files']
| 39.3 | 79 | 0.826972 | 56 | 393 | 5.392857 | 0.25 | 0.264901 | 0.231788 | 0.198676 | 0.523179 | 0.278146 | 0.278146 | 0.278146 | 0.278146 | 0 | 0 | 0 | 0.122137 | 393 | 9 | 80 | 43.666667 | 0.875362 | 0 | 0 | 0 | 0 | 0 | 0.117048 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.571429 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
3f77530b07b2db9f2ed0676b0634b1e1305b2db5 | 1,422 | py | Python | documents/migrations/0014_auto_20210315_0819.py | brandonrobertz/foia-pdf-processing-system | 025516b5e2234df16741237c4208cd484f577370 | [
"MIT"
] | null | null | null | documents/migrations/0014_auto_20210315_0819.py | brandonrobertz/foia-pdf-processing-system | 025516b5e2234df16741237c4208cd484f577370 | [
"MIT"
] | null | null | null | documents/migrations/0014_auto_20210315_0819.py | brandonrobertz/foia-pdf-processing-system | 025516b5e2234df16741237c4208cd484f577370 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2021-03-15 08:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('documents', '0013_auto_20201129_0719'),
]
operations = [
migrations.AlterField(
model_name='document',
name='status',
field=models.CharField(choices=[('complete', 'Complete'), ('awaiting-cleaning', 'Awaiting final cleaning'), ('awaiting-csv', 'Awaiting conversion to CSV'), ('awaiting-reading', 'Awaiting reading/processing'), ('awaiting-extraction', 'Awaiting extraction'), ('non-request', 'Misc file/unrelated to response'), ('exemption-log', 'Exemption log'), ('unchecked', 'New/Unprocessed')], default='unchecked', help_text='Status of processing the response document', max_length=30),
),
migrations.AlterField(
model_name='processeddocument',
name='status',
field=models.CharField(choices=[('complete', 'Complete'), ('awaiting-cleaning', 'Awaiting final cleaning'), ('awaiting-csv', 'Awaiting conversion to CSV'), ('awaiting-reading', 'Awaiting reading/processing'), ('awaiting-extraction', 'Awaiting extraction'), ('non-request', 'Misc file/unrelated to response'), ('exemption-log', 'Exemption log'), ('unchecked', 'New/Unprocessed')], default='unchecked', help_text='Status of processing the response document', max_length=30),
),
]
| 59.25 | 484 | 0.672293 | 149 | 1,422 | 6.355705 | 0.42953 | 0.067582 | 0.052798 | 0.061246 | 0.751848 | 0.751848 | 0.751848 | 0.751848 | 0.751848 | 0.751848 | 0 | 0.029511 | 0.165963 | 1,422 | 23 | 485 | 61.826087 | 0.768971 | 0.031646 | 0 | 0.470588 | 1 | 0 | 0.512727 | 0.016727 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
3f8266a2fa363216218e8d5e31325623a9a3ed60 | 3,919 | py | Python | python/src/timer.py | tankersleyj/algorithms | 821d9e86a9b1d167ca2abd5bdeb27b815b164f43 | [
"MIT"
] | null | null | null | python/src/timer.py | tankersleyj/algorithms | 821d9e86a9b1d167ca2abd5bdeb27b815b164f43 | [
"MIT"
] | null | null | null | python/src/timer.py | tankersleyj/algorithms | 821d9e86a9b1d167ca2abd5bdeb27b815b164f43 | [
"MIT"
] | null | null | null | # MIT (c) jtankersley 2019-05-19
import math
import time
# -------- --------
# -------- Combined --------
# -------- --------
def _get_params_string(*args, **kwargs):
params = ""
for arg in args:
params += f"{arg},"
for kwarg in kwargs:
params += f"{kwarg},"
if len(params) > 0:
params = params[0:len(params) -1]
return params
def _get_second_decimals(seconds):
if seconds > 1:
return 5 - math.floor(math.log(seconds))
else:
return 6
def print_timed_result(time_dict, result, func_name, *args, **kwargs):
# example: print_result("name", result)
begin = time_dict.get("begin", 0)
begin_string = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(begin))
end = time_dict.get("end", 0)
end_string = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(end))
params = _get_params_string(*args, **kwargs)
seconds_string = format(end - begin, f".{_get_second_decimals(end - begin)}f")
print(f"{func_name}({params}) = {result}; ({seconds_string} seconds)")
def run_timed_result(func, *args, **kwargs):
# example: result = run_timed(func, *args, **kwargs)
begin = time.time()
result = func(*args, **kwargs)
time_dict = {"begin":begin, "end":time.time()}
print_timed_result(time_dict, result, func.__name__, *args, **kwargs)
return result
def print_timed_result_dec(func):
# example: result = decorated_func()
def decorator(*args, **kwargs):
begin = time.time()
result = func(*args, **kwargs)
time_dict = {"begin":begin, "end":time.time()}
print_timed_result(time_dict, result, func.__name__, *args, **kwargs)
return result
return decorator
# -------- --------
# -------- Result --------
# -------- --------
def print_result(result, func_name, *args, **kwargs):
# example: print_result("name", result)
params = _get_params_string(*args, **kwargs)
print(f"{func_name}({params}) = {result}")
def run_result(func, *args, **kwargs):
# example: result = run_timed(func, *args, **kwargs)
result = func(*args, **kwargs)
print_result(result, func.__name__, *args, **kwargs)
return result
def print_result_dec(func):
# example: result = decorated_func()
def decorator(*args, **kwargs):
result = func(*args, **kwargs)
print_result(result, func.__name__, *args, **kwargs)
return result
return decorator
# -------- --------
# -------- Time --------
# -------- --------
def print_time(func_name, time_dict):
# example: print_time("name", time_dict)
begin = time_dict.get("begin", 0)
begin_string = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(begin))
end = time_dict.get("end", 0)
end_string = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(end))
seconds_string = format(end - begin, f".{_get_second_decimals(end - begin)}f")
print(f"{func_name}() ran {seconds_string} seconds from {begin_string} to {end_string}")
def run_timed(func, *args, **kwargs):
# example: result = run_timed(func, *args, **kwargs)
begin = time.time()
result = func(*args, **kwargs)
time_dict = {"begin":begin, "end":time.time()}
print_time(func.__name__, time_dict)
return result
def print_time_dec(func):
# example: result = decorated_func()
def decorator(*args, **kwargs):
begin = time.time()
result = func(*args, **kwargs)
time_dict = {"begin":begin, "end":time.time()}
print_time(func.__name__, time_dict)
return result
return decorator
def get_time_dec(func):
# example: result, time_dict = decorated_func()
def decorator(*args, **kwargs):
begin = time.time()
result = func(*args, **kwargs)
time_dict = {"begin":begin, "end":time.time()}
return result, time_dict
return decorator
| 30.379845 | 92 | 0.595815 | 490 | 3,919 | 4.538776 | 0.118367 | 0.116906 | 0.081835 | 0.080935 | 0.798561 | 0.771133 | 0.714928 | 0.709982 | 0.709982 | 0.689299 | 0 | 0.005852 | 0.215106 | 3,919 | 128 | 93 | 30.617188 | 0.717165 | 0.176576 | 0 | 0.620253 | 0 | 0 | 0.119152 | 0.02932 | 0 | 0 | 0 | 0 | 0 | 1 | 0.202532 | false | 0 | 0.025316 | 0 | 0.405063 | 0.189873 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
3fa2e55cab88d2a5da30b922a4073bdb4cd1ea95 | 2,918 | py | Python | utils/training_log.py | csbobby/SMP_Challenge_DTCN | 86cba2769517e5cca95c75932fd79d0c1c430a2c | [
"Apache-2.0"
] | 1 | 2022-01-23T20:23:35.000Z | 2022-01-23T20:23:35.000Z | utils/training_log.py | csbobby/SMP_Challenge_DTCN | 86cba2769517e5cca95c75932fd79d0c1c430a2c | [
"Apache-2.0"
] | null | null | null | utils/training_log.py | csbobby/SMP_Challenge_DTCN | 86cba2769517e5cca95c75932fd79d0c1c430a2c | [
"Apache-2.0"
] | null | null | null | import sqlite3
import pdb
def judge_finished(model_path):
log_db = sqlite3.connect('running_logs.db')
cursor=log_db.cursor()
cursor.execute('''CREATE TABLE if not exists log (model_path text, epoch integer, finished text, losses text, val_losses text)''')
cursor.execute("select model_path, epoch, finished from log where model_path='%s'"%model_path)
row=cursor.fetchone()
if row==None:
log_db.close()
return False
elif row[2]=="False":
log_db.close()
return False
elif row[2]=="True":
log_db.close()
return True
return False
def get_epoch_num(model_path):
log_db = sqlite3.connect('running_logs.db')
cursor=log_db.cursor()
cursor.execute('''CREATE TABLE if not exists log (model_path text, epoch integer, finished text, losses text, val_losses text)''')
cursor.execute("select model_path, epoch, finished from log where model_path='%s'"%model_path)
row=cursor.fetchone()
if row==None:
print "Record not exist!"
log_db.close()
return 0
else:
log_db.close()
return row[1]
def update_status(model_path,epoch,finished):
log_db = sqlite3.connect('running_logs.db')
cursor=log_db.cursor()
cursor.execute('''CREATE TABLE if not exists log (model_path text, epoch integer, finished text, losses text, val_losses text)''')
cursor.execute("select model_path, epoch, finished from log where model_path='%s'"%model_path)
if None==cursor.fetchone():
cursor.execute("insert into log (model_path,epoch,finished) VALUES('%s',%d,'%s')"%(model_path,epoch,finished))
log_db.commit()
log_db.close()
return True
else:
cursor.execute("update log set epoch=%d,finished='%s' where model_path='%s'"%(epoch,finished,model_path))
log_db.commit()
log_db.close()
return True
def save_loss(model_path,losses):
log_db = sqlite3.connect('running_logs.db')
cursor=log_db.cursor()
serialize_str=', '.join([str(x) for x in losses])
cursor.execute("update log set losses='%s' where model_path='%s'"%(serialize_str,model_path))
log_db.commit()
log_db.close()
def get_loss(model_path):
log_db = sqlite3.connect('running_logs.db')
cursor=log_db.cursor()
cursor.execute("select losses from log where model_path='%s'"%(model_path))
serialize_str=cursor.fetchone()[0]
result = eval('[' + serialize_str + ']')
return result
def save_val_loss(model_path,val_losses):
log_db = sqlite3.connect('running_logs.db')
cursor=log_db.cursor()
serialize_str=', '.join([str(x) for x in val_losses])
cursor.execute("update log set val_losses='%s' where model_path='%s'"%(serialize_str,model_path))
log_db.commit()
log_db.close()
def get_val_loss(model_path):
log_db = sqlite3.connect('running_logs.db')
cursor=log_db.cursor()
cursor.execute("select val_losses from log where model_path='%s'"%(model_path))
serialize_str=cursor.fetchone()[0]
result = eval('[' + serialize_str + ']')
return result | 34.738095 | 132 | 0.714873 | 446 | 2,918 | 4.475336 | 0.143498 | 0.13978 | 0.04509 | 0.06012 | 0.851202 | 0.812625 | 0.759519 | 0.759519 | 0.69489 | 0.69489 | 0 | 0.00558 | 0.140165 | 2,918 | 84 | 133 | 34.738095 | 0.789956 | 0 | 0 | 0.689189 | 0 | 0.040541 | 0.333333 | 0.016787 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.027027 | null | null | 0.013514 | 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 |
3faf54df8e2b29c677c2a07d206e50dd50ece4f1 | 188 | py | Python | python/multi_bracket_validation/test_multi_bracket_validation.py | samuelclark907/data-structures-and-algorithms | 8aca5d8cf341207457a71872d3febe7e154f6331 | [
"MIT"
] | null | null | null | python/multi_bracket_validation/test_multi_bracket_validation.py | samuelclark907/data-structures-and-algorithms | 8aca5d8cf341207457a71872d3febe7e154f6331 | [
"MIT"
] | 2 | 2020-12-21T00:18:06.000Z | 2021-01-19T06:55:11.000Z | python/multi_bracket_validation/test_multi_bracket_validation.py | samuelclark907/data-structures-and-algorithms | 8aca5d8cf341207457a71872d3febe7e154f6331 | [
"MIT"
] | null | null | null | # import pytest
# from multi_bracket_validation import multi_bracket_validation, compare
# def test_odd_input():
# input = "({[()]}"
# assert multi_bracket_validation(input)
| 23.5 | 72 | 0.712766 | 21 | 188 | 6 | 0.571429 | 0.285714 | 0.52381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175532 | 188 | 7 | 73 | 26.857143 | 0.812903 | 0.909574 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
3fbfe437785d26dc9e04913e92989ffb4833b84e | 98 | py | Python | dispatcher/const.py | Nostalgiaaa/dispatcher | 398eabcf1f8de7f0a2ffca521e4549621fd651ae | [
"BSD-3-Clause"
] | 3 | 2017-04-27T19:54:23.000Z | 2020-12-17T05:08:07.000Z | dispatcher/const.py | Nostalgiaaa/dispatcher | 398eabcf1f8de7f0a2ffca521e4549621fd651ae | [
"BSD-3-Clause"
] | 4 | 2017-04-12T07:37:15.000Z | 2020-12-22T09:32:50.000Z | dispatcher/const.py | Nostalgiaaa/dispatcher | 398eabcf1f8de7f0a2ffca521e4549621fd651ae | [
"BSD-3-Clause"
] | 3 | 2019-01-24T11:30:29.000Z | 2020-12-11T03:45:24.000Z | TASK_NAME = 'dispatcher.trigger_signal'
RECEIVER_TASK_NAME = "dispatcher.execute_signal_receiver"
| 32.666667 | 57 | 0.857143 | 12 | 98 | 6.5 | 0.583333 | 0.205128 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061224 | 98 | 2 | 58 | 49 | 0.847826 | 0 | 0 | 0 | 0 | 0 | 0.602041 | 0.602041 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
3fd1c4df8816b88babacda4f0877cfa2a14045f9 | 10,448 | py | Python | PyEMD/tests/test_extrema.py | oshin94/PyEMD | 5859f5ea7e435ffc6e5130e5a1df9cd71784a75d | [
"Apache-2.0"
] | 1 | 2022-03-27T01:37:57.000Z | 2022-03-27T01:37:57.000Z | PyEMD/tests/test_extrema.py | oshin94/PyEMD | 5859f5ea7e435ffc6e5130e5a1df9cd71784a75d | [
"Apache-2.0"
] | null | null | null | PyEMD/tests/test_extrema.py | oshin94/PyEMD | 5859f5ea7e435ffc6e5130e5a1df9cd71784a75d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Coding: UTF-8
import unittest
import numpy as np
from PyEMD import EMD
class ExtremaTest(unittest.TestCase):
def test_incorrectExtremaDetectionSetup(self):
extrema_detection = "bubble_gum"
# Sanity check
emd = EMD()
self.assertFalse(emd.extrema_detection == extrema_detection)
# Assign incorrect extrema_detection
emd.extrema_detection = extrema_detection
self.assertTrue(emd.extrema_detection == extrema_detection)
T = np.arange(10)
S = np.sin(T)
max_pos, max_val = np.random.random((2, 3))
min_pos, min_val = np.random.random((2, 3))
# Check for Exception
with self.assertRaises(ValueError):
emd.prepare_points(T, S, max_pos, max_val, min_pos, min_val)
def test_wrong_extrema_detection_type(self):
emd = EMD()
emd.extrema_detection = "very_complicated"
t = np.arange(10)
s = np.array([-1, 0, 1, 0, -1, 0, 3, 0, -9, 0])
with self.assertRaises(ValueError):
emd.find_extrema(t, s)
def test_find_extrema_simple(self):
"""Simple test for extrema."""
emd = EMD()
emd.extrema_detection = "simple"
t = np.arange(10)
s = np.array([-1, 0, 1, 0, -1, 0, 3, 0, -9, 0])
expMaxPos = [2, 6]
expMaxVal = [1, 3]
expMinPos = [4, 8]
expMinVal = [-1, -9]
expZeros = t[s == 0]
maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)
self.assertEqual(maxPos.tolist(), expMaxPos)
self.assertEqual(maxVal.tolist(), expMaxVal)
self.assertEqual(minPos.tolist(), expMinPos)
self.assertEqual(minVal.tolist(), expMinVal)
self.assertEqual(nz.tolist(), expZeros.tolist())
def test_find_extrema_simple_repeat(self):
r"""
Test what happens in /^^\ situation, i.e.
when extremum is somewhere between two consecutive pts.
"""
emd = EMD()
emd.extrema_detection = "simple"
t = np.arange(2, 13)
s = np.array([-1, 0, 1, 1, 0, -1, 0, 3, 0, -9, 0])
expMaxPos = [4, 9]
expMaxVal = [1, 3]
expMinPos = [7, 11]
expMinVal = [-1, -9]
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
self.assertEqual(maxPos.tolist(), expMaxPos)
self.assertEqual(maxVal.tolist(), expMaxVal)
self.assertEqual(minPos.tolist(), expMinPos)
self.assertEqual(minVal.tolist(), expMinVal)
def test_bound_extrapolation_simple(self):
emd = EMD()
emd.extrema_detection = "simple"
emd.nbsym = 1
emd.DTYPE = np.int64
S = [0, -3, 1, 4, 3, 2, -2, 0, 1, 2, 1, 0, 1, 2, 5, 4, 0, -2, -1]
S = np.array(S)
T = np.arange(len(S))
pp = emd.prepare_points
# There are 4 cases for both (L)eft and (R)ight ends. In case of left (L) bound:
# L1) ,/ -- ext[0] is min, s[0] < ext[1] (1st max)
# L2) / -- ext[0] is min, s[0] > ext[1] (1st max)
# L3) ^. -- ext[0] is max, s[0] > ext[1] (1st min)
# L4) \ -- ext[0] is max, s[0] < ext[1] (1st min)
# CASE 1
# L1, R1 -- no edge MIN & no edge MIN
s = S.copy()
t = T.copy()
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
# Should extrapolate left and right bounds
maxExtrema, minExtrema = pp(t, s, maxPos, maxVal, minPos, minVal)
self.assertEqual([-1, 3, 9, 14, 20], maxExtrema[0].tolist())
self.assertEqual([4, 4, 2, 5, 5], maxExtrema[1].tolist())
self.assertEqual([-4, 1, 6, 11, 17, 23], minExtrema[0].tolist())
self.assertEqual([-2, -3, -2, 0, -2, 0], minExtrema[1].tolist())
# CASE 2
# L2, R2 -- edge MIN, edge MIN
s = S[1:-1].copy()
t = np.arange(s.size)
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
# Should extrapolate left and right bounds
maxExtrema, minExtrema = pp(t, s, maxPos, maxVal, minPos, minVal)
self.assertEqual([-2, 2, 8, 13, 19], maxExtrema[0].tolist())
self.assertEqual([4, 4, 2, 5, 5], maxExtrema[1].tolist())
self.assertEqual([0, 5, 10, 16], minExtrema[0].tolist())
self.assertEqual([-3, -2, 0, -2], minExtrema[1].tolist())
# CASE 3
# L3, R3 -- no edge MAX & no edge MAX
s = S[2:-3].copy()
t = np.arange(s.size)
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
# Should extrapolate left and right bounds
maxExtrema, minExtrema = pp(t, s, maxPos, maxVal, minPos, minVal)
self.assertEqual([-5, 1, 7, 12, 17], maxExtrema[0].tolist())
self.assertEqual([2, 4, 2, 5, 2], maxExtrema[1].tolist())
self.assertEqual([-2, 4, 9, 15], minExtrema[0].tolist())
self.assertEqual([-2, -2, 0, 0], minExtrema[1].tolist())
# CASE 4
# L4, R4 -- edge MAX & edge MAX
s = S[3:-4].copy()
t = np.arange(s.size)
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
# Should extrapolate left and right bounds
maxExtrema, minExtrema = pp(t, s, maxPos, maxVal, minPos, minVal)
self.assertEqual([0, 6, 11], maxExtrema[0].tolist())
self.assertEqual([4, 2, 5], maxExtrema[1].tolist())
self.assertEqual([-3, 3, 8, 14], minExtrema[0].tolist())
self.assertEqual([-2, -2, 0, 0], minExtrema[1].tolist())
def test_find_extrema_parabol(self):
"""
Simple test for extrema.
"""
emd = EMD()
emd.extrema_detection = "parabol"
t = np.arange(10)
s = np.array([-1, 0, 1, 0, -1, 0, 3, 0, -9, 0])
expMaxPos = [2, 6]
expMaxVal = [1, 3]
expMinPos = [4, 8]
expMinVal = [-1, -9]
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
self.assertEqual(maxPos.tolist(), expMaxPos)
self.assertEqual(maxVal.tolist(), expMaxVal)
self.assertEqual(minPos.tolist(), expMinPos)
self.assertEqual(minVal.tolist(), expMinVal)
def test_find_extrema_parabol_repeat(self):
r"""
Test what happens in /^^\ situation, i.e.
when extremum is somewhere between two consecutive pts.
"""
emd = EMD()
emd.extrema_detection = "parabol"
t = np.arange(2, 13)
s = np.array([-1, 0, 1, 1, 0, -1, 0, 3, 0, -9, 0])
expMaxPos = [4.5, 9]
expMaxVal = [1.125, 3]
expMinPos = [7, 11]
expMinVal = [-1, -9]
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
self.assertEqual(maxPos.tolist(), expMaxPos)
self.assertEqual(maxVal.tolist(), expMaxVal)
self.assertEqual(minPos.tolist(), expMinPos)
self.assertEqual(minVal.tolist(), expMinVal)
def test_bound_extrapolation_parabol(self):
emd = EMD()
emd.extrema_detection = "parabol"
emd.nbsym = 1
emd.DTYPE = np.float64
S = [0, -3, 1, 4, 3, 2, -2, 0, 1, 2, 1, 0, 1, 2, 5, 4, 0, -2, -1]
S = np.array(S)
T = np.arange(len(S))
pp = emd.prepare_points
# There are 4 cases for both (L)eft and (R)ight ends. In case of left (L) bound:
# L1) ,/ -- ext[0] is min, s[0] < ext[1] (1st max)
# L2) / -- ext[0] is min, s[0] > ext[1] (1st max)
# L3) ^. -- ext[0] is max, s[0] > ext[1] (1st min)
# L4) \ -- ext[0] is max, s[0] < ext[1] (1st min)
# CASE 1
# L1, R1 -- no edge MIN & no edge MIN
s = S.copy()
t = T.copy()
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
# Should extrapolate left and right bounds
maxExtrema, minExtrema = pp(t, s, maxPos, maxVal, minPos, minVal)
maxExtrema = np.round(maxExtrema, decimals=3)
minExtrema = np.round(minExtrema, decimals=3)
self.assertEqual([-1.393, 3.25, 9, 14.25, 20.083], maxExtrema[0].tolist())
self.assertEqual([4.125, 4.125, 2, 5.125, 5.125], maxExtrema[1].tolist())
self.assertEqual([-4.31, 0.929, 6.167, 11, 17.167, 23.333], minExtrema[0].tolist())
self.assertEqual([-2.083, -3.018, -2.083, 0, -2.042, 0], minExtrema[1].tolist())
# CASE 2
# L2, R2 -- edge MIN, edge MIN
s = S[1:-1].copy()
t = T[1:-1].copy()
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
# Should extrapolate left and right bounds
maxExtrema, minExtrema = pp(t, s, maxPos, maxVal, minPos, minVal)
maxExtrema = np.round(maxExtrema, decimals=3)
minExtrema = np.round(minExtrema, decimals=3)
self.assertEqual([-1.25, 3.25, 9, 14.25, 19.75], maxExtrema[0].tolist())
self.assertEqual([4.125, 4.125, 2, 5.125, 5.125], maxExtrema[1].tolist())
self.assertEqual([1, 6.167, 11, 17], minExtrema[0].tolist())
self.assertEqual([-3, -2.083, 0, -2], minExtrema[1].tolist())
# CASE 3
# L3, R3 -- no edge MAX & no edge MAX
s = S[2:-3].copy()
t = T[2:-3].copy()
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
# Should extrapolate left and right bounds
maxExtrema, minExtrema = pp(t, s, maxPos, maxVal, minPos, minVal)
maxExtrema = np.round(maxExtrema, decimals=3)
minExtrema = np.round(minExtrema, decimals=3)
self.assertEqual([-2.5, 3.25, 9, 14.25, 19.5], maxExtrema[0].tolist())
self.assertEqual([2, 4.125, 2, 5.125, 2], maxExtrema[1].tolist())
self.assertEqual([0.333, 6.167, 11, 17.5], minExtrema[0].tolist())
self.assertEqual([-2.083, -2.083, 0, 0], minExtrema[1].tolist())
# CASE 4
# L4, R4 -- edge MAX & edge MAX
s = S[3:-4].copy()
t = T[3:-4].copy()
maxPos, maxVal, minPos, minVal, _ = emd.find_extrema(t, s)
# Should extrapolate left and right bounds
maxExtrema, minExtrema = pp(t, s, maxPos, maxVal, minPos, minVal)
maxExtrema = np.round(maxExtrema, decimals=3)
minExtrema = np.round(minExtrema, decimals=3)
self.assertEqual([3, 9, 14], maxExtrema[0].tolist())
self.assertEqual([4, 2, 5], maxExtrema[1].tolist())
self.assertEqual([-0.167, 6.167, 11, 17], minExtrema[0].tolist())
self.assertEqual([-2.083, -2.083, 0, 0], minExtrema[1].tolist())
# TODO:
# - nbsym > 1
if __name__ == "__main__":
unittest.main()
| 34.596026 | 91 | 0.557906 | 1,446 | 10,448 | 3.972337 | 0.11065 | 0.12796 | 0.087744 | 0.083565 | 0.886142 | 0.834088 | 0.77977 | 0.755049 | 0.755049 | 0.742166 | 0 | 0.07515 | 0.281681 | 10,448 | 301 | 92 | 34.710963 | 0.690207 | 0.148928 | 0 | 0.657143 | 0 | 0 | 0.008332 | 0 | 0 | 0 | 0 | 0.003322 | 0.302857 | 1 | 0.045714 | false | 0 | 0.017143 | 0 | 0.068571 | 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 |
3fdaa8ffec313dfd083f7bffcb66cadea7282ab5 | 124 | py | Python | src/cocoa/toga_cocoa/libs/__init__.py | d3r3kk/toga | 2d8c0eb30371c4ef4f0610251233569e9c618e93 | [
"BSD-3-Clause"
] | 1 | 2021-05-05T14:36:08.000Z | 2021-05-05T14:36:08.000Z | src/cocoa/toga_cocoa/libs/__init__.py | d3r3kk/toga | 2d8c0eb30371c4ef4f0610251233569e9c618e93 | [
"BSD-3-Clause"
] | null | null | null | src/cocoa/toga_cocoa/libs/__init__.py | d3r3kk/toga | 2d8c0eb30371c4ef4f0610251233569e9c618e93 | [
"BSD-3-Clause"
] | null | null | null | from .appkit import *
from .core_graphics import *
from .core_text import *
from .foundation import *
from .webkit import *
| 20.666667 | 28 | 0.758065 | 17 | 124 | 5.411765 | 0.470588 | 0.434783 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 124 | 5 | 29 | 24.8 | 0.884615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
3fff049f055aadf6bba123c9acfcac5feb208784 | 45 | py | Python | laske_export/tests/conftest.py | hkotkanen/mvj | a22d40869ef1b13924da428f3026d248acef81a7 | [
"MIT"
] | null | null | null | laske_export/tests/conftest.py | hkotkanen/mvj | a22d40869ef1b13924da428f3026d248acef81a7 | [
"MIT"
] | null | null | null | laske_export/tests/conftest.py | hkotkanen/mvj | a22d40869ef1b13924da428f3026d248acef81a7 | [
"MIT"
] | null | null | null | from leasing.tests.conftest import * # noqa
| 22.5 | 44 | 0.755556 | 6 | 45 | 5.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155556 | 45 | 1 | 45 | 45 | 0.894737 | 0.088889 | 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 |
b20900ef0453c4f819f0ba2e6af89e28268c27c5 | 51 | py | Python | ardoqpy/__init__.py | jbaragry/ardoq-python-client | 051a9bbad60ea45d5e544f183f2dd4e5cdb428f9 | [
"MIT"
] | 8 | 2016-04-08T10:37:52.000Z | 2022-02-24T16:11:11.000Z | ardoqpy/__init__.py | jbaragry/ardoq-python-client | 051a9bbad60ea45d5e544f183f2dd4e5cdb428f9 | [
"MIT"
] | 3 | 2017-01-25T17:40:07.000Z | 2022-02-24T15:08:38.000Z | ardoqpy/__init__.py | jbaragry/ardoq-python-client | 051a9bbad60ea45d5e544f183f2dd4e5cdb428f9 | [
"MIT"
] | 4 | 2017-01-25T12:07:09.000Z | 2022-02-15T11:10:05.000Z | from .ardoqpy import *
from .ardoqpy_sync import *
| 17 | 27 | 0.764706 | 7 | 51 | 5.428571 | 0.571429 | 0.578947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.156863 | 51 | 2 | 28 | 25.5 | 0.883721 | 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 |
b77bff49dcaaca2678bd8e5e50918911f9e87cdf | 41 | py | Python | tests/databases/molecule/get_all/fixtures/__init__.py | stevenbennett96/stk | 6e5af87625b83e0bfc7243bc42d8c7a860cbeb76 | [
"MIT"
] | 21 | 2018-04-12T16:25:24.000Z | 2022-02-14T23:05:43.000Z | tests/databases/molecule/get_all/fixtures/__init__.py | stevenbennett96/stk | 6e5af87625b83e0bfc7243bc42d8c7a860cbeb76 | [
"MIT"
] | 8 | 2019-03-19T12:36:36.000Z | 2020-11-11T12:46:00.000Z | tests/databases/molecule/get_all/fixtures/__init__.py | stevenbennett96/stk | 6e5af87625b83e0bfc7243bc42d8c7a860cbeb76 | [
"MIT"
] | 5 | 2018-08-07T13:00:16.000Z | 2021-11-01T00:55:10.000Z | from .molecule_mongo_db import * # noqa
| 20.5 | 40 | 0.756098 | 6 | 41 | 4.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.170732 | 41 | 1 | 41 | 41 | 0.852941 | 0.097561 | 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 |
b796644e50ee7540f6120ed065f282487ef66190 | 39,623 | py | Python | userbot/plugins/animations1.py | LUCKYRAJPUTOP/EllipsUserbot | a995ae32bb895897eedb1c71051c2a8b82366304 | [
"MIT"
] | null | null | null | userbot/plugins/animations1.py | LUCKYRAJPUTOP/EllipsUserbot | a995ae32bb895897eedb1c71051c2a8b82366304 | [
"MIT"
] | null | null | null | userbot/plugins/animations1.py | LUCKYRAJPUTOP/EllipsUserbot | a995ae32bb895897eedb1c71051c2a8b82366304 | [
"MIT"
] | null | null | null | import asyncio
from collections import deque
from telethon.tl.functions.users import GetFullUserRequest
from userbot import *
from darkbot.utils import admin_cmd, edit_or_reply, sudo_cmd
from userbot.cmdhelp import CmdHelp
DEFAULTUSER = str(ALIVE_NAME) if ALIVE_NAME else "dark User"
@bot.on(admin_cmd(pattern=f"indflag$", outgoing=True))
@bot.on(sudo_cmd(pattern=f"indflag$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 0.1
animation_ttl = range(0, 36)
await edit_or_reply(event, "darko")
animation_chars = [
"Indian Flag",
"**🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧\n🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧\n🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧🟧\n⬜️⬜️⬜️⬜️⬜️🟦🟦🟦⬜️⬜️⬜️⬜️⬜️\n⬜️⬜️⬜️⬜️⬜️🟦🟦🟦⬜️⬜️⬜️⬜️⬜️\n⬜️⬜️⬜️⬜️⬜️🟦🟦🟦⬜️⬜️⬜️⬜️⬜️\n🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩\n🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩\n🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩\n\n 🧡🤍💚\n\nProud To Be An Indian❣️!!**",
]
for i in animation_ttl:
await asyncio.sleep(animation_interval)
await event.edit(animation_chars[i % 18])
@bot.on(admin_cmd(pattern="^Yo$"))
@bot.on(sudo_cmd(pattern="^Yo$", allow_sudo=True))
async def Ooo(e):
if e.fwd_from:
return
t = "yo"
for j in range(15):
t = t[:-1] + "oo"
await e.edit(t)
@bot.on(admin_cmd(pattern="stupid$"))
@bot.on(sudo_cmd(pattern="stupid$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 1
animation_ttl = range(14)
event = await edit_or_reply(event, "brain")
animation_chars = [
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n🧠 <(^_^ <)🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n🧠 <(^_^ <) 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n🧠 <(^_^ <) 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n🧠 <(^_^ <) 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n🧠 <(^_^ <) 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n🧠<(^_^ <) 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n(> ^_^)>🧠 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n (> ^_^)>🧠 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n (> ^_^)>🧠 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n (> ^_^)>🧠 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n (> ^_^)>🧠 🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n (> ^_^)>🧠🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n (> ^_^)>🗑",
"YOᑌᖇ ᗷᖇᗩIᑎ ➡️ 🧠\n\n <(^_^ <)🗑",
]
for i in animation_ttl:
await asyncio.sleep(animation_interval)
await event.edit(animation_chars[i % 14])
@bot.on(admin_cmd(pattern=f"evil$", outgoing=True))
@bot.on(sudo_cmd(pattern=f"evil$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
if not event.text[0].isalpha() and event.text[0] not in ("/", "#", "@", "!"):
await event.edit("😒You Know I'm a good **PERSON**😏")
await asyncio.sleep(1.9)
await event.edit("BUT😡")
await asyncio.sleep(1.2)
await event.edit("😑Don't give me a reason😠")
await asyncio.sleep(1.9)
await event.edit("🤨To show my😎")
await asyncio.sleep(1.4)
await event.edit("**😈EVIL SIDE**😈")
await asyncio.sleep(1.3)
await event.edit(
"**😈YOU KNOW THAT I'M A GOOD PERSON. BUT DON'T GIVE ME REASON TO SHOW MY EVIL SIDE😈**"
)
@bot.on(admin_cmd(pattern="gnt$", outgoing=True))
@bot.on(sudo_cmd(pattern="gnt$", allow_sudo=True))
async def gn(event):
if event.fwd_from:
return
await edit_or_reply(event, "｡♥｡･ﾟ♡ﾟ･｡♥｡･｡･｡･｡♥｡･\n╱╱╱╱╱╱╱╭╮╱╱╱╭╮╱╭╮╭╮\n╭━┳━┳━┳╯┃╭━┳╋╋━┫╰┫╰╮\n┃╋┃╋┃╋┃╋┃┃┃┃┃┃╋┃┃┃╭┫\n┣╮┣━┻━┻━╯╰┻━┻╋╮┣┻┻━╯\n╰━╯╱╱╱╱╱╱╱╱╱╱╰━╯\n｡♥｡･ﾟ♡ﾟ･｡♥° ♥｡･ﾟ♡ﾟ･"
)
@bot.on(admin_cmd(pattern="gmg$", outgoing=True))
@bot.on(sudo_cmd(pattern="gmg$", allow_sudo=True))
async def gm(event):
if event.fwd_from:
return
await edit_or_reply(event, "｡♥｡･ﾟ♡ﾟ･｡♥｡･｡･｡･｡♥｡･｡♥｡･ﾟ♡ﾟ･\n╱╱╱╱╱╱╱╭╮╱╱╱╱╱╱╱╱╱╱╭╮\n╭━┳━┳━┳╯┃╭━━┳━┳┳┳━┳╋╋━┳┳━╮\n┃╋┃╋┃╋┃╋┃┃┃┃┃╋┃╭┫┃┃┃┃┃┃┃╋┃\n┣╮┣━┻━┻━╯╰┻┻┻━┻╯╰┻━┻┻┻━╋╮┃\n╰━╯╱╱╱╱╱╱╱╱╱╱╱╱╱╱╱╱╱╱╱╱╰━╯\n｡♥｡･ﾟ♡ﾟ･｡♥｡･｡･｡･｡♥｡･｡♥｡･ﾟ♡ﾟ･"
)
@bot.on(admin_cmd(pattern=f"bombs$", outgoing=True))
@bot.on(sudo_cmd(pattern=f"bombs$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
event = await edit_or_reply(event, "bombs")
await event.edit("▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n")
await asyncio.sleep(0.5)
await event.edit("💣💣💣💣 \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n")
await asyncio.sleep(0.5)
await event.edit("▪️▪️▪️▪️ \n💣💣💣💣 \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n")
await asyncio.sleep(0.5)
await event.edit("▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n💣💣💣💣 \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n")
await asyncio.sleep(0.5)
await event.edit("▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n💣💣💣💣 \n▪️▪️▪️▪️ \n")
await asyncio.sleep(0.5)
await event.edit("▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n💣💣💣💣 \n")
await asyncio.sleep(1)
await event.edit("▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n💥💥💥💥 \n")
await asyncio.sleep(0.5)
await event.edit("▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n💥💥💥💥 \n💥💥💥💥 \n")
await asyncio.sleep(0.5)
await event.edit("▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n▪️▪️▪️▪️ \n😵😵😵😵 \n")
await asyncio.sleep(0.5)
await event.edit(
"[Marr gya madarchod \nLaaa laaa......\nLa la la la](https://telegra.ph/file/19c7b9d1b7a7454ab2918.mp4)",
link_preview=True,
)
await asyncio.sleep(2)
@bot.on(admin_cmd(pattern=r"call$"))
@bot.on(sudo_cmd(pattern=r"call$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 3
animation_ttl = range(18)
event = await edit_or_reply(event, "Calling Pavel Durov (ceo of telegram)......")
animation_chars = [
"`Connecting To Raj Bhawan`",
"`Call Connected.`",
"`Secretary: darko This is Raj Bhawan. Who is this?`",
f"`Me: darko this is` `{DEFAULUSER}` .Please connect me to Prime Minister",
"`User Authorised.`",
"`Calling` `At +9189*#*#*#56`",
"`Private Call Connected...`",
"`Me: darko Sir, How are you!!`",
"`Prime Minister: May I Know Who Is This?`",
f"`Me: Yes sur, itz me` `{DEFAULTUSER}`",
"`Prime Minister: OMG!!! Long time no see, Wassup Brother...\nI'm fine btw... how are you?`",
"`Me: I good too sar.`",
"`Prime Minister: Ok! I'll call you later.. I'm busy a bit...`",
"`Me: Sure Sur \nTC Bye Bye :)`",
"`Private Call Disconnected`",
]
for i in animation_ttl:
await asyncio.sleep(animation_interval)
await event.edit(animation_chars[i % 18])
@bot.on(admin_cmd(pattern=r"kill$"))
@bot.on(sudo_cmd(pattern=r"kill$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 2
animation_ttl = range(0, 11)
if event.reply_to_msg_id:
reply_message = await event.get_reply_message()
replied_user = await event.client(GetFullUserRequest(reply_message.sender_id))
replied_user.user.first_name
replied_user.user.username
idd = reply_message.sender_id
if idd == 1212368262:
await event.edit(
"This is My Master\n**How dare you trying to tell me to kill master nigger!**\n\n__Your account is on hold! Pay 99$ to my master__ [Himanshu](https://t.me/H1M4N5HU0P) __to release your account__😏"
)
else:
await event.edit("`K i l l i n g . . . . . . .`")
animation_chars = [
"Ｆｉｉｉｉｉｒｅ",
"( ･ิω･ิ)︻デ═一-->",
"---->____________",
"------>__________",
"-------->________",
"---------->______",
"------------>____",
"-------------->__",
"---------------->",
"------>;(^。^)ノ",
"(￣ー￣) Mar gaya\n Madarchod\nLalalalalalala",
"**Target killed successfully nacho bc(°̥̥̥̥̥̥̥̥•̀.̫•́°̥̥̥̥̥̥̥)**",
]
for i in animation_ttl:
await asyncio.sleep(animation_interval)
await event.edit(animation_chars[i % 11])
else:
await event.edit("No User is Defined\nAre u dumb\n\nreply to a user.")
@bot.on(admin_cmd(pattern="wtf$"))
@bot.on(sudo_cmd(pattern="wtf$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 0.8
animation_ttl = range(5)
event = await edit_or_reply(event, "wtf")
animation_chars = [
"What",
"What The",
"What The F",
"What The F Brah",
"What The F Brah\nhttps://telegra.ph/file/f3b760e4a99340d331f9b.jpg",
]
for i in animation_ttl:
await asyncio.sleep(animation_interval)
await event.edit(animation_chars[i % 5], link_preview=True)
@bot.on(admin_cmd(pattern="ding$"))
@bot.on(sudo_cmd(pattern="ding$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 0.3
animation_ttl = range(30)
animation_chars = [
"🔴⬛⬛⬜⬜\n⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜",
"⬜⬜⬛⬜⬜\n⬜⬛⬜⬜⬜\n🔴⬜⬜⬜⬜",
"⬜⬜⬛⬜⬜\n⬜⬜⬛⬜⬜\n⬜⬜🔴⬜⬜",
"⬜⬜⬛⬜⬜\n⬜⬜⬜⬛⬜\n⬜⬜⬜⬜🔴",
"⬜⬜⬛⬛🔴\n⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜",
"⬜⬜⬛⬜⬜\n⬜⬜⬜⬛⬜\n⬜⬜⬜⬜🔴",
"⬜⬜⬛⬜⬜\n⬜⬜⬛⬜⬜\n⬜⬜🔴⬜⬜",
"⬜⬜⬛⬜⬜\n⬜⬛⬜⬜⬜\n🔴⬜⬜⬜⬜",
"🔴⬛⬛⬜⬜\n⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜",
]
event = await edit_or_reply(event, "ding..dong..ding..dong ...")
await asyncio.sleep(4)
for i in animation_ttl:
await asyncio.sleep(animation_interval)
await event.edit(animation_chars[i % 10])
@bot.on(admin_cmd(pattern=f"hypno$", outgoing=True))
@bot.on(sudo_cmd(pattern=f"hypno$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 0.3
animation_ttl = range(15)
event = await edit_or_reply(event, "hypno....")
animation_chars = [
"⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜",
"⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬛⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜",
"⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬛⬛⬛⬜⬜\n⬜⬜⬛⬜⬛⬜⬜\n⬜⬜⬛⬛⬛⬜⬜\n⬜⬜⬜⬜⬜⬜⬜\n⬜⬜⬜⬜⬜⬜⬜",
"⬜⬜⬜⬜⬜⬜⬜\n⬜⬛⬛⬛⬛⬛⬜\n⬜⬛⬜⬜⬜⬛⬜\n⬜⬛⬜⬜⬜⬛⬜\n⬜⬛⬜⬜⬜⬛⬜\n⬜⬛⬛⬛⬛⬛⬜\n⬜⬜⬜⬜⬜⬜⬜",
"⬛⬛⬛⬛⬛⬛⬛\n⬛⬜⬜⬜⬜⬜⬛\n⬛⬜⬜⬜⬜⬜⬛\n⬛⬜⬜⬜⬜⬜⬛\n⬛⬜⬜⬜⬜⬜⬛\n⬛⬜⬜⬜⬜⬜⬛\n⬛⬛⬛⬛⬛⬛⬛",
"⬛⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜⬛\n⬛⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜⬛\n⬛⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜⬛\n⬛⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜⬛",
"⬜⬛⬜⬛⬜⬛⬜⬛\n⬛⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜⬛\n⬛⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜⬛\n⬛⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜⬛\n⬛⬜⬛⬜⬛⬜⬛⬜",
"⬜⬜⬜⬜⬜⬜⬜\n⬜⬛⬛⬛⬛⬛⬜\n⬜⬛⬜⬜⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬜⬜⬛⬜\n⬜⬛⬛⬛⬛⬛⬜\n⬜⬜⬜⬜⬜⬜⬜",
"⬛⬛⬛⬛⬛⬛⬛\n⬛⬜⬜⬜⬜⬜⬛\n⬛⬜⬛⬛⬛⬜⬛\n⬛⬜⬛⬜⬛⬜⬛\n⬛⬜⬛⬛⬛⬜⬛\n⬛⬜⬜⬜⬜⬜⬛\n⬛⬛⬛⬛⬛⬛⬛",
"⬜⬜⬜⬜⬜⬜⬜\n⬜⬛⬛⬛⬛⬛⬜\n⬜⬛⬜⬜⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬜⬜⬛⬜\n⬜⬛⬛⬛⬛⬛⬜\n⬜⬜⬜⬜⬜⬜⬜",
"⬛⬛⬛⬛⬛⬛⬛\n⬛⬜⬜⬜⬜⬜⬛\n⬛⬜⬛⬛⬛⬜⬛\n⬛⬜⬛⬜⬛⬜⬛\n⬛⬜⬛⬛⬛⬜⬛\n⬛⬜⬜⬜⬜⬜⬛\n⬛⬛⬛⬛⬛⬛⬛",
"⬜⬜⬜⬜⬜⬜⬜\n⬜⬛⬛⬛⬛⬛⬜\n⬜⬛⬜⬜⬜⬛⬜\n⬜⬛⬜⬛⬜⬛⬜\n⬜⬛⬜⬜⬜⬛⬜\n⬜⬛⬛⬛⬛⬛⬜\n⬜⬜⬜⬜⬜⬜⬜",
"⬛⬛⬛⬛⬛\n⬛⬜⬜⬜⬛\n⬛⬜⬛⬜⬛\n⬛⬜⬜⬜⬛\n⬛⬛⬛⬛⬛",
"⬜⬜⬜\n⬜⬛⬜\n⬜⬜⬜",
"[👉🔴👈])",
]
for i in animation_ttl:
await asyncio.sleep(animation_interval)
await event.edit(animation_chars[i % 15])
@bot.on(admin_cmd(pattern=f"hypno$", outgoing=True))
@bot.on(sudo_cmd(pattern=f"hypno$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 0.3
animation_ttl = range(15)
event = await edit_or_reply(event, "hypno....")
animation_chars = [
"8✊===D",
"8=✊==D",
"8==✊=D",
"8===✊D",
"8==✊=D",
"8=✊==D",
"8✊===D",
"8=✊==D",
"8==✊=D",
"8===✊D💦",
"8===✊D💦💦",
"8===✊D💦💦💦",
]
for i in animation_ttl:
await asyncio.sleep(animation_interval)
await event.edit(animation_chars[i % 15])
@bot.on(admin_cmd(pattern=r"candy$"))
@bot.on(sudo_cmd(pattern=r"candy$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
event = await edit_or_reply(event, "candy")
deq = deque(list("🍦🍧🍩🍪🎂🍰🧁🍫🍬🍭"))
for _ in range(999):
await asyncio.sleep(0.4)
await event.edit("".join(deq))
deq.rotate(1)
@bot.on(admin_cmd(pattern="gangasta$"))
@bot.on(sudo_cmd(pattern="gangasta$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
event = await edit_or_reply(event, "gangasta")
await event.edit("EVERyBOdy")
await asyncio.sleep(0.3)
await event.edit("iZ")
await asyncio.sleep(0.2)
await event.edit("GangSTur")
await asyncio.sleep(0.5)
await event.edit("UNtIL ")
await asyncio.sleep(0.2)
await event.edit("I")
await asyncio.sleep(0.3)
await event.edit("ArRivE")
await asyncio.sleep(0.3)
await event.edit("🔥🔥🔥")
await asyncio.sleep(0.3)
await event.edit("EVERyBOdy iZ GangSTur UNtIL I ArRivE 🔥🔥🔥")
@bot.on(admin_cmd(pattern=f"bigoof$", outgoing=True))
@bot.on(sudo_cmd(pattern=f"bigoof$", allow_sudo=True))
async def _(event):
if event.fwd_from:
return
animation_interval = 0.1
animation_ttl = range(0, 36)
event = await edit_or_reply(event, "┏━━━┓╋╋╋╋┏━━━┓ \n┃┏━┓┃╋╋╋╋┃┏━┓┃ \n┃┃╋┃┣┓┏┓┏┫┃╋┃┃ \n┃┃╋┃┃┗┛┗┛┃┃╋┃┃ \n┃┗━┛┣┓┏┓┏┫┗━┛┃ \n┗━━━┛┗┛┗┛┗━━━┛"
)
animation_chars = [
"╭━━━╮╱╱╱╭━╮ \n┃╭━╮┃╱╱╱┃╭╯ \n┃┃╱┃┣━━┳╯╰╮ \n┃┃╱┃┃╭╮┣╮╭╯ \n┃╰━╯┃╰╯┃┃┃ \n╰━━━┻━━╯╰╯ ",
"╭━━━╮╱╱╱╱╱╱╭━╮ \n┃╭━╮┃╱╱╱╱╱╱┃╭╯ \n┃┃╱┃┣━━┳━━┳╯╰╮ \n┃┃╱┃┃╭╮┃╭╮┣╮╭╯ \n┃╰━╯┃╰╯┃╰╯┃┃┃ \n ╰━━━┻━━┻━━╯╰╯",
"╭━━━╮╱╱╱╱╱╱╱╱╱╭━╮ \n┃╭━╮┃╱╱╱╱╱╱╱╱╱┃╭╯ \n┃┃╱┃┣━━┳━━┳━━┳╯╰╮ \n┃┃╱┃┃╭╮┃╭╮┃╭╮┣╮╭╯ \n┃╰━╯┃╰╯┃╰╯┃╰╯┃┃┃ \n╰━━━┻━━┻━━┻━━╯╰╯",
"╭━━━╮╱╱╱╱╱╱╱╱╱╱╱╱╭━╮ \n┃╭━╮┃╱╱╱╱╱╱╱╱╱╱╱╱┃╭╯ \n┃┃╱┃┣━━┳━━┳━━┳━━┳╯╰╮ \n┃┃╱┃┃╭╮┃╭╮┃╭╮┃╭╮┣╮╭╯ \n┃╰━╯┃╰╯┃╰╯┃╰╯┃╰╯┃┃┃ \n╰━━━┻━━┻━━┻━━┻━━╯╰╯",
"╭━━━╮╱╱╱╱╱╱╱╱╱╱╱╱╱╱╱╭━╮ \n┃╭━╮┃╱╱╱╱╱╱╱╱╱╱╱╱╱╱╱┃╭╯ \n┃┃╱┃┣━━┳━━┳━━┳━━┳━━┳╯╰╮ \n┃┃╱┃┃╭╮┃╭╮┃╭╮┃╭╮┃╭╮┣╮╭╯ \n┃╰━╯┃╰╯┃╰╯┃╰╯┃╰╯┃╰╯┃┃┃ \n╰━━━┻━━┻━━┻━━┻━━┻━━╯╰╯",
"╭━━━╮╱╱╱╱╱╱╱╱╱╱╱╱╭━╮ \n┃╭━╮┃╱╱╱╱╱╱╱╱╱╱╱╱┃╭╯ \n┃┃╱┃┣━━┳━━┳━━┳━━┳╯╰╮ \n┃┃╱┃┃╭╮┃╭╮┃╭╮┃╭╮┣╮╭╯ \n┃╰━╯┃╰╯┃╰╯┃╰╯┃╰╯┃┃┃ \n╰━━━┻━━┻━━┻━━┻━━╯╰╯",
"╭━━━╮╱╱╱╱╱╱╱╱╱╭━╮ \n┃╭━╮┃╱╱╱╱╱╱╱╱╱┃╭╯ \n┃┃╱┃┣━━┳━━┳━━┳╯╰╮ \n┃┃╱┃┃╭╮┃╭╮┃╭╮┣╮╭╯ \n┃╰━╯┃╰╯┃╰╯┃╰╯┃┃┃ \n╰━━━┻━━┻━━┻━━╯╰╯",
]
for i in animation_ttl:
await asyncio.sleep(animation_interval)
await event.edit(animation_chars[i % 40])
@bot.on(admin_cmd(pattern=f"charging$"))
@bot.on(sudo_cmd(pattern=f"charging$", allow_sudo=True))
async def timer_blankx(e):
if e.fwd_from:
return
e = await edit_or_reply(e, "charging")
txt = (
e.text[10:]
+ "\n\n`Tesla Wireless Charging (beta) Started...\nDevice Detected: Nokia 1100\nBattery Percentage:` "
)
j = 10
k = j
for j in range(j):
await e.edit(txt + str(k))
k += 10
await asyncio.sleep(1)
await asyncio.sleep(1)
await e.edit(
"`Tesla Wireless Charging (beta) Completed...\nDevice Detected: Nokia 1100 (Space Grey Varient)\nBattery Percentage:` [100%](https://telegra.ph/file/a45aa7450c8eefed599d9.mp4) ",
link_preview=True,
)
CmdHelp("animations1").add_command(
'indflag', None, '🇮🇳🇮🇳🇮🇳'
).add_command(
'stupid', None, 'Use and see'
).add_command(
'bombs', None, 'Use and see'
).add_command(
'call', None, 'Use and see'
).add_command(
'kill', None, 'Use and see'
).add_command(
'wtf', None, 'Use and see'
).add_command(
'ding', None, 'Use and see'
).add_command(
'hypno', None, 'Use and see'
).add_command(
'candy', None, 'Use and see'
).add_command(
'gangasta', None, 'Use and see'
).add_command(
'bigoof', None, 'Big off animation'
).add_command(
'charging', None, 'Use and see'
).add_command(
'yo', None, 'Shitty Yooooo animations. Like who wants it.. duhh'
).add_command(
'evil', None, 'Wanna show your evilness?'
).add_command(
'gmg', None, 'Cool Good Morning Animation'
).add_command(
'gnt', None, 'Cool Good Night Animation'
).add_command(
'muth', None, 'Fapping✊'
).add()
| 92.577103 | 4,037 | 0.186508 | 2,189 | 39,623 | 15.370489 | 0.184559 | 0.011591 | 0.015396 | 0.01284 | 0.887267 | 0.156036 | 0.134815 | 0.130714 | 0.117339 | 0.115378 | 0 | 0.005561 | 0.087727 | 39,623 | 427 | 4,038 | 92.793911 | 0.191441 | 0 | 0 | 0.44473 | 0 | 0.023136 | 0.759887 | 0.652273 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.015424 | 0 | 0.059126 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
b7a93ca7cc76dfdf0bf878537622e313dbae95da | 97 | py | Python | backintime/candles_providers/api_candles.py | akim-mukhtarov/backtesting | 2d0491b919885eeddd62c4079c9c7292381cb4f9 | [
"MIT"
] | null | null | null | backintime/candles_providers/api_candles.py | akim-mukhtarov/backtesting | 2d0491b919885eeddd62c4079c9c7292381cb4f9 | [
"MIT"
] | null | null | null | backintime/candles_providers/api_candles.py | akim-mukhtarov/backtesting | 2d0491b919885eeddd62c4079c9c7292381cb4f9 | [
"MIT"
] | null | null | null | from .candles_provider import CandlesProvider
class ApiCandles(CandlesProvider):
pass
| 16.166667 | 46 | 0.773196 | 9 | 97 | 8.222222 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.185567 | 97 | 5 | 47 | 19.4 | 0.936709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
b7c0765cba4bbff7d651491ed8ff8ec44cd56771 | 155 | py | Python | lstchain/__init__.py | thomasgas/cta-lstchain | 59dbc58f7dd7fb35aebce22489082ac885fac18b | [
"BSD-3-Clause"
] | null | null | null | lstchain/__init__.py | thomasgas/cta-lstchain | 59dbc58f7dd7fb35aebce22489082ac885fac18b | [
"BSD-3-Clause"
] | null | null | null | lstchain/__init__.py | thomasgas/cta-lstchain | 59dbc58f7dd7fb35aebce22489082ac885fac18b | [
"BSD-3-Clause"
] | null | null | null | from . import reco
from . import io
from . import visualization
from . import calib
from . import mc
from . import spectra
from .io import standard_config | 19.375 | 31 | 0.774194 | 23 | 155 | 5.173913 | 0.434783 | 0.504202 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.180645 | 155 | 8 | 31 | 19.375 | 0.937008 | 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 |
b7e49497c2c7ffdc0106c69bb85c96db93a32e3f | 21 | py | Python | pdip/base/__init__.py | ahmetcagriakca/pdip | c4c16d5666a740154cabdc6762cd44d98b7bdde8 | [
"MIT"
] | 2 | 2021-12-09T21:07:46.000Z | 2021-12-11T22:18:01.000Z | pdip/base/__init__.py | fmuyilmaz/pdip | f7e30b0c04d9e85ef46b0b7094fafd3ce18bccab | [
"MIT"
] | null | null | null | pdip/base/__init__.py | fmuyilmaz/pdip | f7e30b0c04d9e85ef46b0b7094fafd3ce18bccab | [
"MIT"
] | 3 | 2021-11-15T00:47:00.000Z | 2021-12-17T11:35:45.000Z | from .pdi import Pdi
| 10.5 | 20 | 0.761905 | 4 | 21 | 4 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 21 | 1 | 21 | 21 | 0.941176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
b7e79b6854091cb9e1baf1db4e2116718bf15608 | 21 | py | Python | det/lfd-face/lfd/data_pipeline/dataset/__init__.py | becauseofAI/DemoHub | 2b7fdd1f1c6f229ba326e8c1b78c4e7f5982f3da | [
"Apache-2.0"
] | null | null | null | det/lfd-face/lfd/data_pipeline/dataset/__init__.py | becauseofAI/DemoHub | 2b7fdd1f1c6f229ba326e8c1b78c4e7f5982f3da | [
"Apache-2.0"
] | null | null | null | det/lfd-face/lfd/data_pipeline/dataset/__init__.py | becauseofAI/DemoHub | 2b7fdd1f1c6f229ba326e8c1b78c4e7f5982f3da | [
"Apache-2.0"
] | null | null | null | from .sample import * | 21 | 21 | 0.761905 | 3 | 21 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 21 | 1 | 21 | 21 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
4d10592beebe07acc11ead1930af5aef503b0977 | 101 | py | Python | test/input/059.py | EliRibble/pyfmt | e84a5531a7c06703eddd9dbc2072b0c8deae8c57 | [
"MIT"
] | null | null | null | test/input/059.py | EliRibble/pyfmt | e84a5531a7c06703eddd9dbc2072b0c8deae8c57 | [
"MIT"
] | null | null | null | test/input/059.py | EliRibble/pyfmt | e84a5531a7c06703eddd9dbc2072b0c8deae8c57 | [
"MIT"
] | null | null | null | assert "this is a large assert" != "some other part", "with a short message makes the line too long"
| 50.5 | 100 | 0.722772 | 18 | 101 | 4.055556 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.188119 | 101 | 1 | 101 | 101 | 0.890244 | 0 | 0 | 0 | 0 | 0 | 0.80198 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
4d8232ac6ab3cc463fe5b78fbf27be7c0b553741 | 7,766 | py | Python | graffiti/services/admin_figure_service.py | rbardaji/graffiti | e10490a58b7eff041ff8212784f05daa076e3f53 | [
"MIT"
] | null | null | null | graffiti/services/admin_figure_service.py | rbardaji/graffiti | e10490a58b7eff041ff8212784f05daa076e3f53 | [
"MIT"
] | null | null | null | graffiti/services/admin_figure_service.py | rbardaji/graffiti | e10490a58b7eff041ff8212784f05daa076e3f53 | [
"MIT"
] | null | null | null | import os
import glob
from config import fig_folder, df_folder
def delete_scatter(platform_code):
"""
Delete all scatter plots
Parameters
----------
platform_code: str
Platform code
Returns
-------
(response, status_code): (dict, int)
The response is a dictionary with the keys -> status, message and
result.
The status is a bool that says if the operation was successful.
The message is a str with comments for the user.
The result is an empty list.
The status_code is always 204 (deleted).
"""
# Delete figures
for filename in glob.glob(f'{fig_folder}/scatter-{platform_code}*'):
os.remove(filename)
# Delete pkls
for filename in glob.glob(f'{df_folder}/{platform_code}*'):
os.remove(filename)
response = {
'status': True,
'message': f'Scatter plot from {platform_code} deleted',
'result': []
}
status_code = 204
return response, status_code
def delete_platform_pie():
"""
Delete all platform pie plots
Returns
-------
(response, status_code): (dict, int)
The response is a dictionary with the keys -> status, message and
result.
The status is a bool that says if the operation was successful.
The message is a str with comments for the user.
The result is an empty list.
The status_code is always 204 (deleted).
"""
# Delete figures
for filename in glob.glob(f'{fig_folder}/platform_pie*'):
os.remove(filename)
response = {
'status': True,
'message': f'Platform pie plots deleted',
'result': []
}
status_code = 204
return response, status_code
def delete_parameter_availability(parameter):
"""
Delete all parameter aviability plots
Parameters
----------
parameter: str
Parameter acronym
Returns
-------
(response, status_code): (dict, int)
The response is a dictionary with the keys -> status, message and
result.
The status is a bool that says if the operation was successful.
The message is a str with comments for the user.
The result is an empty list.
The status_code is always 204 (deleted).
"""
# Delete all metadata_map figures
# Loop Through the folder projects all files and deleting them one by one
for file_map in glob.glob(
f'{fig_folder}/parameter_availability-{parameter}*'):
os.remove(file_map)
for file_pkl in glob.glob(f'{df_folder}/*{parameter}*'):
os.remove(file_pkl)
response = {
'status': True,
'message': f'The plot of data availability from {parameter} is deleted',
'result': []
}
status_code = 204
return response, status_code
def delete_platform_availability(platform_code):
"""
Delete all platform avialable availability plots
Parameters
----------
parameter: str
Parameter acronym
Returns
-------
(response, status_code): (dict, int)
The response is a dictionary with the keys -> status, message and
result.
The status is a bool that says if the operation was successful.
The message is a str with comments for the user.
The result is an empty list.
The status_code is always 204 (deleted).
"""
# Delete all figures
# Loop Through the folder projects all files and deleting them one by one
for file_map in glob.glob(
f'{fig_folder}/platform_availability-{platform_code}*'):
os.remove(file_map)
for file_pkl in glob.glob(f'{df_folder}/{platform_code}*'):
os.remove(file_pkl)
response = {
'status': True,
'message': f'The plot of data availability from {platform_code} is deleted',
'result': []
}
status_code = 204
return response, status_code
def delete_map():
"""
Delete all maps
Returns
-------
(response, status_code): (dict, int)
The response is a dictionary with the keys -> status, message and
result.
The status is a bool that says if the operation was successful.
The message is a str with comments for the user.
The result is an empty list.
The status_code is always 204 (deleted).
"""
# Delete all metadata_map figures
# Loop Through the folder projects all files and deleting them one by one
for file_map in glob.glob(f'{fig_folder}/metadata_map*'):
os.remove(file_map)
response = {
'status': True,
'message': 'All maps deleted',
'result': []
}
status_code = 204
return response, status_code
def delete_parameter_pie():
"""
Delete all parameter pie plots
Returns
-------
(response, status_code): (dict, int)
The response is a dictionary with the keys -> status, message and
result.
The status is a bool that says if the operation was successful.
The message is a str with comments for the user.
The result is an empty list.
The status_code is always 204 (deleted).
"""
# Delete figures
for filename in glob.glob(f'{fig_folder}/parameter_pie*'):
os.remove(filename)
response = {
'status': True,
'message': f'Parameter pie plots deleted',
'result': []
}
status_code = 204
return response, status_code
def delete_line(platform_code, parameter):
"""
Delete all line plots
Parameters
----------
platform_code: str
Platform code
parameter: str
Parameter acronym
Returns
-------
(response, status_code): (dict, int)
The response is a dictionary with the keys -> status, message and
result.
The status is a bool that says if the operation was successful.
The message is a str with comments for the user.
The result is an empty list.
The status_code is always 204 (deleted).
"""
for file_line in glob.glob(f'{fig_folder}/line-{platform_code}-{parameter}*'):
os.remove(file_line)
for file_pkl in glob.glob(f'{df_folder}/{platform_code}_{parameter}*'):
os.remove(file_pkl)
response = {
'status': True,
'message': f'Plots deleted',
'result': []
}
status_code = 204
return response, status_code
def delete_area(platform_code, parameter):
"""
Delete all area plots
Parameters
----------
platform_code: str
Platform code
parameter: str
Parameter acronym
Returns
-------
(response, status_code): (dict, int)
The response is a dictionary with the keys -> status, message and
result.
The status is a bool that says if the operation was successful.
The message is a str with comments for the user.
The result is an empty list.
The status_code is always 204 (deleted).
"""
for file_line in glob.glob(f'{fig_folder}/area-{platform_code}-{parameter}*'):
os.remove(file_line)
for file_pkl in glob.glob(f'{df_folder}/{platform_code}_{parameter}*'):
os.remove(file_pkl)
response = {
'status': True,
'message': f'Plots deleted',
'result': []
}
status_code = 204
return response, status_code
| 28.343066 | 84 | 0.587947 | 945 | 7,766 | 4.722751 | 0.083598 | 0.071701 | 0.064531 | 0.032041 | 0.89693 | 0.874524 | 0.872059 | 0.85503 | 0.847412 | 0.827246 | 0 | 0.009106 | 0.321272 | 7,766 | 273 | 85 | 28.446886 | 0.837602 | 0.517512 | 0 | 0.621053 | 0 | 0 | 0.27084 | 0.145026 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084211 | false | 0 | 0.031579 | 0 | 0.2 | 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 |
4d8b22c465f80ce46dc355cbd7eeb7c6c0243b90 | 86 | py | Python | syn/sets/b/__init__.py | mbodenhamer/syn | aeaa3ad8a49bac8f50cf89b6f1fe97ad43d1d258 | [
"MIT"
] | 1 | 2021-07-15T08:55:12.000Z | 2021-07-15T08:55:12.000Z | syn/sets/b/__init__.py | mbodenhamer/syn | aeaa3ad8a49bac8f50cf89b6f1fe97ad43d1d258 | [
"MIT"
] | 7 | 2021-01-07T23:51:57.000Z | 2021-12-13T19:50:57.000Z | syn/sets/b/__init__.py | mbodenhamer/syn | aeaa3ad8a49bac8f50cf89b6f1fe97ad43d1d258 | [
"MIT"
] | 2 | 2016-07-11T08:46:31.000Z | 2017-12-13T13:30:51.000Z | from .base import *
from .leaf import *
from .range import *
from .operators import *
| 17.2 | 24 | 0.72093 | 12 | 86 | 5.166667 | 0.5 | 0.483871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.186047 | 86 | 4 | 25 | 21.5 | 0.885714 | 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 |
4da2f05d8d19155bb0d1898d7a386be65f4a928c | 8,137 | py | Python | dataManagement.py | nimitzufo/spYDyishai | d240d2ea0d61cd94316e869459e3a9b2dbafbd87 | [
"BSD-3-Clause"
] | 11 | 2017-03-07T11:45:24.000Z | 2021-08-25T09:48:55.000Z | dataManagement.py | Night46/spYDyishai | d240d2ea0d61cd94316e869459e3a9b2dbafbd87 | [
"BSD-3-Clause"
] | null | null | null | dataManagement.py | Night46/spYDyishai | d240d2ea0d61cd94316e869459e3a9b2dbafbd87 | [
"BSD-3-Clause"
] | 8 | 2016-09-05T21:25:11.000Z | 2021-04-11T13:08:57.000Z | # ##############################################################################
#
# Imports
#
# ##############################################################################
import pymongo
# ##############################################################################
#
# Main
#
# ##############################################################################
# class manageDB(spYDyisai, userInput):
# #TODO
# # convert all this class to use mongoDB
# # build the mongoDB file structure
# def findDB(self):
# if os.path.isfile(self.db_location+"/"+self.db_filename) == False:
# manageDB.createDB(self)
# elif os.path.isfile(self.db_location+"/"+self.db_filename) == True:
# pass
# else:
# print '''
# [!] There was a problem finding / creating the DB file.
# please scheck that the user running spYDyisai has appropriate permissions and start over'''
# quit()
#
# def createDB(self):
# db = sqlite3.connect(self.db_location+self.db_filename)
# db.close()
#
# def writeToDB(self):
# if os.path.isfile(self.resourcelist_location+"/"+self.resourcelist_filename) == True:
# print ''
# print '[-] Checking if resource already exists in the DB.'
# conf = SafeConfigParser()
# conf.read(self.resourcelist_location+"/"+self.resourcelist_filename)
# for section_name in conf.sections():
# resource_URL = conf.get(section_name, 'resource')
# resource_user = conf.get(section_name, 'username')
# resource_pass = conf.get(section_name, 'password')
# db = sqlite3.connect('resourceDB')
# cursor = db.cursor()
# cursor.execute('SELECT * FROM sqlite_master WHERE type="table"')
# tables_list = cursor.fetchall()
# tables_exsist = resource_URL in chain.from_iterable(tables_list)
#
# if tables_exsist != True:
# cursor.execute('CREATE TABLE IF NOT EXISTS \"'+resource_URL+'\" (url text, credentials text, username text, password text, filename text, filetype text, status text)')
# print '[-] Added recource '+resource_URL+' to DB.'
# cursor.execute('INSERT INTO \"'+resource_URL+'\" VALUES (\"'+resource_URL+'\", "credentials", \"'+resource_user+'\", \"'+resource_pass+'\", "filename", "filetype", "status" )')
# print '[-] Added recource credentials to table.'
# db.commit()
# elif tables_exsist == True:
# print ''
# print '[!] Recource '+resource_URL+' already exsits in DB.'
# print '[-] Checking if any update is requiered.'
# db.close()
#
#
# elif os.path.isfile(userFilePath+"/"+self.resourcelist_filename) == True:
# print ''
# print '[-] Checking if resource already exists in the DB.'
# conf = SafeConfigParser()
# conf.read(self.resourcelist_location+"/"+self.resourcelist_filename)
# for section_name in conf.sections():
# resource_URL = conf.get(section_name, 'resource')
# resource_user = conf.get(section_name, 'username')
# resource_pass = conf.get(section_name, 'password')
# db = sqlite3.connect('resourceDB')
# cursor = db.cursor()
# cursor.execute('SELECT * FROM sqlite_master WHERE type="table"')
# tables_list = cursor.fetchall()
# tables_exsist = resource_URL in chain.from_iterable(tables_list)
#
# if tables_exsist != True:
# cursor.execute('CREATE TABLE IF NOT EXISTS \"'+resource_URL+'\" (url text, credentials text, username text, password text, filename text, filetype text, status text)')
# print '[-] Added recource '+resource_URL+' to DB.'
# cursor.execute('INSERT INTO \"'+resource_URL+'\" VALUES (\"'+resource_URL+'\", "credentials", \"'+resource_user+'\", \"'+resource_pass+'\", "filename", "filetype", "status" )')
# print '[-] Added recource credentials to table.'
# db.commit()
# elif tables_exsist == True:
# print ''
# print '[!] Recource '+resource_URL+' already exsits in DB.'
# db.close()
#
# def readTablesFromDB(self):
# db = sqlite3.connect('resourceDB')
# db.row_factory = sqlite3.Row
# cursor = db.cursor()
# cursor.execute('SELECT name FROM sqlite_master WHERE type="table"')
# for table_row in cursor.fetchall():
# table = table_row[0]
# print ' [-] '+table
# print ''
# db.close()
#
# def readTablesDataFromDB(self):
# db = sqlite3.connect('resourceDB')
# db.row_factory = sqlite3.Row
# cursor = db.cursor()
# cursor.execute('SELECT name FROM sqlite_master WHERE type="table"')
# for table_row in cursor.fetchall():
# table = table_row[0]
# print ' [-] '+table
# print ''
# db_data = cursor.execute('SELECT url, credentials, username, password, filename, filetype, status FROM \"'+table+'\"')
# for row in db_data:
# print 'URL = ', row[0]
# print 'CREDENTIALS = ', row[1]
# print 'USERNAME = ', row[2]
# print 'PASSWORD = ', row[3]
# print 'FILENAME = ', row[4]
# print 'FILETYPE = ', row[5]
# print 'STATUS = ', row[6]
# print ''
# db.close()
#
# def readSingleTableData(self):
# db = sqlite3.connect('resourceDB')
# db.row_factory = sqlite3.Row
# cursor = db.cursor()
# cursor.execute('SELECT name FROM sqlite_master WHERE type="table"')
# chosen_table = cursor.fetchall()
# self.user_table_selection = raw_input().lower
# try:
# print ' [-] '+self.user_table_selection()
# print ''
# db_data = cursor.execute('SELECT url, credentials, username, password, filename, filetype, status FROM \"'+self.user_table_selection()+'\"')
# for row in db_data:
# print 'URL = ', row[0]
# print 'CREDENTIALS = ', row[1]
# print 'USERNAME = ', row[2]
# print 'PASSWORD = ', row[3]
# print 'FILENAME = ', row[4]
# print 'FILETYPE = ', row[5]
# print 'STATUS = ', row[6]
# print ''
# except:
# print '[!] Could not find the requested table'
# print ''
# db.close()
# userInteraction.guided_wellcome_options(self)
#
# def editTableData(self):
# dataField = raw_input().lower
#
# while dataField() not in ['', 'no', 'none', 'ur', 'url', 'us', 'username', 'pa', 'password']:
# print '[!] Please choos only "none", "url", "username", "password" or leave blank for default'
# dataField = raw_input().lower
# if dataField() in ['ur', 'url']:
# print '[-] please type in the new URL value'
# new_url = raw_input().lower
# db = sqlite3.connect('resourceDB')
# cursor = db.cursor()
# cursor.execute('UPDATE \"'+self.user_table_selection()+'\" SET url=?',(new_url(),))
# db.commit()
# db.close()
# elif dataField() in ['us', 'username']:
# print '[-] Please type in the new USERNAME value'
# new_username = raw_input()
# db = sqlite3.connect('resourceDB')
# cursor = db.cursor()
# cursor.execute('UPDATE \"'+self.user_table_selection()+'\" SET username=?',(new_username,))
# db.commit()
# db.close()
# elif dataField() in ['pa', 'password']:
# print '[-] Please type in the new PASSWORD value'
# new_password = getpass.getpass()
# db = sqlite3.connect('resourceDB')
# cursor = db.cursor()
# cursor.execute('UPDATE \"'+self.user_table_selection()+'\" SET password=?',(new_password,))
# db.commit()
# db.close()
# elif dataField() in ['', 'no', 'none']:
# print 'you chose to no edit anything, mooving on..'
# else:
# print 'You broke me :/'
# quit()
#
# def deleteResourceFromDB(self):
# delete_table = raw_input().lower
#
# while delete_table() == '':
# print '[!] Table name can\'t be left blank'
# print ''
# print '[-] Please select which table you would like to delete'
# delete_table = raw_input().lower
#
# db = sqlite3.connect('resourceDB')
# cursor = db.cursor()
# cursor.execute('SELECT * FROM sqlite_master WHERE type="table"')
# tables_list = cursor.fetchall()
# tables_exsist = delete_table() in chain.from_iterable(tables_list)
#
# if tables_exsist == True:
# cursor.execute('DROP TABLE IF EXISTS \"'+delete_table()+'\"')
# db.commit()
# print '[!] Done, check status with DB full data view'
# elif tables_exsist != True:
# print '[!] Could not find the table in the DB'
#
# db.close()
if __name__ == '__main__':
pass
| 38.382075 | 183 | 0.607841 | 940 | 8,137 | 5.135106 | 0.188298 | 0.043091 | 0.033147 | 0.048477 | 0.721981 | 0.7023 | 0.67226 | 0.653615 | 0.653615 | 0.637042 | 0 | 0.004413 | 0.192331 | 8,137 | 211 | 184 | 38.563981 | 0.730067 | 0.904879 | 0 | 0 | 0 | 0 | 0.03125 | 0 | 0 | 0 | 0 | 0.004739 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 6 |
4ddb3b2989dae9c4ff0f523241785fe027812638 | 96 | py | Python | venv/lib/python3.8/site-packages/wheel/cli/pack.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/wheel/cli/pack.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/wheel/cli/pack.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/4b/e2/75/888cb518f0d34c3767fbf4b0c466bb37bdbd878899348d75103142a9f0 | 96 | 96 | 0.895833 | 9 | 96 | 9.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.447917 | 0 | 96 | 1 | 96 | 96 | 0.447917 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
129eefb5c78fed2b6a5e85dc35abebc4e00285cc | 30 | py | Python | ubuntu20/projects/libRadtran-2.0.4/src_py/PaxHeader/solver_options.py | AmberCrafter/docker-compose_libRadtran | 0182f991db6a13e0cacb3bf9f43809e6850593e4 | [
"MIT"
] | null | null | null | ubuntu20/projects/libRadtran-2.0.4/src_py/PaxHeader/solver_options.py | AmberCrafter/docker-compose_libRadtran | 0182f991db6a13e0cacb3bf9f43809e6850593e4 | [
"MIT"
] | null | null | null | ubuntu20/projects/libRadtran-2.0.4/src_py/PaxHeader/solver_options.py | AmberCrafter/docker-compose_libRadtran | 0182f991db6a13e0cacb3bf9f43809e6850593e4 | [
"MIT"
] | null | null | null | 30 mtime=1608547134.728566962
| 15 | 29 | 0.866667 | 4 | 30 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.75 | 0.066667 | 30 | 1 | 30 | 30 | 0.178571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
12a4edebbf2a865db12f9380e0e1978daeb7fab4 | 134 | py | Python | face_cropper/cli/__init__.py | Dave-Lopper/face_cropper_package | 1e69c530941b53c22125e9d97eaaf659cfe36bd8 | [
"MIT"
] | null | null | null | face_cropper/cli/__init__.py | Dave-Lopper/face_cropper_package | 1e69c530941b53c22125e9d97eaaf659cfe36bd8 | [
"MIT"
] | null | null | null | face_cropper/cli/__init__.py | Dave-Lopper/face_cropper_package | 1e69c530941b53c22125e9d97eaaf659cfe36bd8 | [
"MIT"
] | null | null | null | from .output import colored_detection_output
from .input import crop_command
__all__ = ["colored_detection_output", "crop_command"]
| 22.333333 | 54 | 0.820896 | 17 | 134 | 5.882353 | 0.529412 | 0.32 | 0.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104478 | 134 | 5 | 55 | 26.8 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0.268657 | 0.179104 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
12b757b101be7d7e6b19e9d8c9c3a5e4ea4ea0c3 | 214 | py | Python | isiscb/isisdata/account_views.py | bgopalachary/IsisCB | c28e3f504eea60ebeff38318d8bb2071abb28ebb | [
"MIT"
] | 4 | 2016-01-25T20:35:33.000Z | 2020-04-07T15:39:52.000Z | isiscb/isisdata/account_views.py | bgopalachary/IsisCB | c28e3f504eea60ebeff38318d8bb2071abb28ebb | [
"MIT"
] | 41 | 2015-08-19T17:34:41.000Z | 2022-03-11T23:19:01.000Z | isiscb/isisdata/account_views.py | bgopalachary/IsisCB | c28e3f504eea60ebeff38318d8bb2071abb28ebb | [
"MIT"
] | 2 | 2020-11-25T20:18:18.000Z | 2021-06-24T15:15:41.000Z | from allauth.account.views import PasswordChangeView as allauth_PasswordChangeView
from django.urls import reverse_lazy
class PasswordChangeView(allauth_PasswordChangeView):
success_url = reverse_lazy('home')
| 35.666667 | 82 | 0.85514 | 24 | 214 | 7.416667 | 0.625 | 0.280899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093458 | 214 | 5 | 83 | 42.8 | 0.917526 | 0 | 0 | 0 | 0 | 0 | 0.018692 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.5 | 0.5 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
12ed124a50a15e1eb9717ee1fa4d04498691d8ec | 90 | py | Python | gclassifier/__init__.py | dipghoshraj/Gender-classifer-module | 71601a0048a0d34e296c5797237cadab1463bf5c | [
"MIT"
] | 1 | 2021-04-28T13:01:31.000Z | 2021-04-28T13:01:31.000Z | gclassifier/__init__.py | dipghoshraj/Gender-classifer-module | 71601a0048a0d34e296c5797237cadab1463bf5c | [
"MIT"
] | null | null | null | gclassifier/__init__.py | dipghoshraj/Gender-classifer-module | 71601a0048a0d34e296c5797237cadab1463bf5c | [
"MIT"
] | null | null | null | from .classifier import classify
def image_classifier(frame):
return classify(frame)
| 18 | 32 | 0.788889 | 11 | 90 | 6.363636 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.144444 | 90 | 4 | 33 | 22.5 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 6 |
12edfd81ec2b03f2a1e71f8aca54a429de02ec81 | 207 | py | Python | poptimizer/dl/__init__.py | AlexQww/poptimizer | 7327e0629eb1526ef42991e4b159bb15d272db79 | [
"Unlicense"
] | null | null | null | poptimizer/dl/__init__.py | AlexQww/poptimizer | 7327e0629eb1526ef42991e4b159bb15d272db79 | [
"Unlicense"
] | null | null | null | poptimizer/dl/__init__.py | AlexQww/poptimizer | 7327e0629eb1526ef42991e4b159bb15d272db79 | [
"Unlicense"
] | null | null | null | """Прогнозирование доходности с помощью нейронных сетей."""
from poptimizer.dl.data_loader import PhenotypeData
from poptimizer.dl.forecast import Forecast
from poptimizer.dl.model import Model, ModelError
| 41.4 | 60 | 0.835749 | 26 | 207 | 6.615385 | 0.615385 | 0.244186 | 0.27907 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096618 | 207 | 4 | 61 | 51.75 | 0.919786 | 0.26087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
42481a46cb4331a7b2b6f2261c24b187c3dc5df9 | 49 | py | Python | pynsqd/__init__.py | phobson/pynsqd | 84def12e8bfaa44307f9e235470661452507d606 | [
"MIT"
] | null | null | null | pynsqd/__init__.py | phobson/pynsqd | 84def12e8bfaa44307f9e235470661452507d606 | [
"MIT"
] | null | null | null | pynsqd/__init__.py | phobson/pynsqd | 84def12e8bfaa44307f9e235470661452507d606 | [
"MIT"
] | null | null | null | from .dataAccess import *
from .tests import test | 24.5 | 25 | 0.795918 | 7 | 49 | 5.571429 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 49 | 2 | 26 | 24.5 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 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 |
4267d24618683871a707e42ccbee048413b6ed28 | 14,072 | py | Python | main/huts/GPSConverter.py | wodore/mtn-huts | c52b26ee6a367b8552bf12b62e5303006ca1e873 | [
"MIT"
] | null | null | null | main/huts/GPSConverter.py | wodore/mtn-huts | c52b26ee6a367b8552bf12b62e5303006ca1e873 | [
"MIT"
] | null | null | null | main/huts/GPSConverter.py | wodore/mtn-huts | c52b26ee6a367b8552bf12b62e5303006ca1e873 | [
"MIT"
] | null | null | null | #!/usr/bin/python2
#-*- coding: utf-8 -*-
# The MIT License (MIT)
#
# Copyright (c) 2014 Federal Office of Topography swisstopo, Wabern, CH and Aaron Schmocker
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# WGS84 <-> LV03 converter based on the scripts of swisstopo written for python2.7
# Aaron Schmocker [aaron@duckpond.ch]
# vim: tabstop=4 shiftwidth=4 softtabstop=4 expandtab
# Source: http://www.swisstopo.admin.ch/internet/swisstopo/en/home/topics/survey/sys/refsys/projections.html (see PDFs under "Documentation")
# Updated 9 dec 2014
# Please validate your results with NAVREF on-line service: http://www.swisstopo.admin.ch/internet/swisstopo/en/home/apps/calc/navref.html (difference ~ 1-2m)
# Downloaded from:
#
# https://github.com/ValentinMinder/Swisstopo-WGS84-LV03/blob/master/scripts/py/wgs84_ch1903.py
import math
class GPSConverter(object):
'''
GPS Converter class which is able to perform convertions between the
CH1903 and WGS84 system.
'''
# Convert CH y/x/h to WGS height
def CHtoWGSheight(self, y, x, h):
# Axiliary values (% Bern)
y_aux = (y - 600000) / 1000000
x_aux = (x - 200000) / 1000000
h = (h + 49.55) - (12.60 * y_aux) - (22.64 * x_aux)
return h
# Convert CH y/x to WGS lat
def CHtoWGSlat(self, y, x):
# Axiliary values (% Bern)
y_aux = (y - 600000) / 1000000
x_aux = (x - 200000) / 1000000
lat = (16.9023892 + (3.238272 * x_aux)) + \
- (0.270978 * pow(y_aux, 2)) + \
- (0.002528 * pow(x_aux, 2)) + \
- (0.0447 * pow(y_aux, 2) * x_aux) + \
- (0.0140 * pow(x_aux, 3))
# Unit 10000" to 1" and convert seconds to degrees (dec)
lat = (lat * 100) / 36
return lat
# Convert CH y/x to WGS long
def CHtoWGSlng(self, y, x):
# Axiliary values (% Bern)
y_aux = (y - 600000) / 1000000
x_aux = (x - 200000) / 1000000
lng = (2.6779094 + (4.728982 * y_aux) + \
+ (0.791484 * y_aux * x_aux) + \
+ (0.1306 * y_aux * pow(x_aux, 2))) + \
- (0.0436 * pow(y_aux, 3))
# Unit 10000" to 1" and convert seconds to degrees (dec)
lng = (lng * 100) / 36
return lng
# Convert decimal angle (° dec) to sexagesimal angle (dd.mmss,ss)
def DecToSexAngle(self, dec):
degree = int(math.floor(dec))
minute = int(math.floor((dec - degree) * 60))
second = (((dec - degree) * 60) - minute) * 60
return degree + (float(minute) / 100) + (second / 10000)
# Convert sexagesimal angle (dd.mmss,ss) to seconds
def SexAngleToSeconds(self, dms):
degree = 0
minute = 0
second = 0
degree = math.floor(dms)
minute = math.floor((dms - degree) * 100)
second = (((dms - degree) * 100) - minute) * 100
return second + (minute * 60) + (degree * 3600)
# Convert sexagesimal angle (dd.mmss) to decimal angle (degrees)
def SexToDecAngle(self, dms):
degree = 0
minute = 0
second = 0
degree = math.floor(dms)
minute = math.floor((dms - degree) * 100)
second = (((dms - degree) * 100) - minute) * 100
return degree + (minute / 60) + (second / 3600)
# Convert WGS lat/long (° dec) and height to CH h
def WGStoCHh(self, lat, lng, h):
lat = self.DecToSexAngle(lat)
lng = self.DecToSexAngle(lng)
lat = self.SexAngleToSeconds(lat)
lng = self.SexAngleToSeconds(lng)
# Axiliary values (% Bern)
lat_aux = (lat - 169028.66) / 10000
lng_aux = (lng - 26782.5) / 10000
h = (h - 49.55) + (2.73 * lng_aux) + (6.94 * lat_aux)
return h
# Convert WGS lat/long (° dec) to CH x
def WGStoCHx(self, lat, lng):
lat = self.DecToSexAngle(lat)
lng = self.DecToSexAngle(lng)
lat = self.SexAngleToSeconds(lat)
lng = self.SexAngleToSeconds(lng)
# Axiliary values (% Bern)
lat_aux = (lat - 169028.66) / 10000
lng_aux = (lng - 26782.5) / 10000
x = ((200147.07 + (308807.95 * lat_aux) + \
+ (3745.25 * pow(lng_aux, 2)) + \
+ (76.63 * pow(lat_aux,2))) + \
- (194.56 * pow(lng_aux, 2) * lat_aux)) + \
+ (119.79 * pow(lat_aux, 3))
return x
# Convert WGS lat/long (° dec) to CH y
def WGStoCHy(self, lat, lng):
lat = self.DecToSexAngle(lat)
lng = self.DecToSexAngle(lng)
lat = self.SexAngleToSeconds(lat)
lng = self.SexAngleToSeconds(lng)
# Axiliary values (% Bern)
lat_aux = (lat - 169028.66) / 10000
lng_aux = (lng - 26782.5) / 10000
y = (600072.37 + (211455.93 * lng_aux)) + \
- (10938.51 * lng_aux * lat_aux) + \
- (0.36 * lng_aux * pow(lat_aux, 2)) + \
- (44.54 * pow(lng_aux, 3))
return y
def LV03toWGS84(self, east, north, height):
'''
Convert LV03 to WGS84 Return a array of double that contain lat, long,
and height
'''
d = []
d.append(self.CHtoWGSlat(east, north))
d.append(self.CHtoWGSlng(east, north))
d.append(self.CHtoWGSheight(east, north, height))
return d
def WGS84toLV03(self, latitude, longitude, ellHeight):
'''
Convert WGS84 to LV03 Return an array of double that contaign east,
north, and height
'''
d = []
d.append(self.WGStoCHy(latitude, longitude))
d.append(self.WGStoCHx(latitude, longitude))
d.append(self.WGStoCHh(latitude, longitude, ellHeight))
return d
# #!/usr/bin/python2
# #-*- coding: utf-8 -*-
# # The MIT License (MIT)
# #
# # Copyright (c) 2014 Federal Office of Topography swisstopo, Wabern, CH and Aaron Schmocker
# #
# # Permission is hereby granted, free of charge, to any person obtaining a copy
# # of this software and associated documentation files (the "Software"), to deal
# # in the Software without restriction, including without limitation the rights
# # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# # copies of the Software, and to permit persons to whom the Software is
# # furnished to do so, subject to the following conditions:
# #
# # The above copyright notice and this permission notice shall be included in
# # all copies or substantial portions of the Software.
# #
# # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# # THE SOFTWARE.
# #
# # WGS84 <-> LV03 converter based on the scripts of swisstopo written for python2.7
# # Aaron Schmocker [aaron@duckpond.ch]
# # vim: tabstop=4 shiftwidth=4 softtabstop=4 expandtab
# # Source: http://www.swisstopo.admin.ch/internet/swisstopo/en/home/topics/survey/sys/refsys/projections.html (see PDFs under "Documentation")
# # Updated 9 dec 2014
# # Please validate your results with NAVREF on-line service: http://www.swisstopo.admin.ch/internet/swisstopo/en/home/apps/calc/navref.html (difference ~ 1-2m)
# import math
# class GPSConverter(object):
# '''
# GPS Converter class which is able to perform convertions between the
# CH1903 and WGS84 system.
# '''
# # Convert CH y/x/h to WGS height
# def CHtoWGSheight(self, y, x, h):
# # Axiliary values (% Bern)
# y_aux = (y - 600000) / 1000000
# x_aux = (x - 200000) / 1000000
# h = (h + 49.55) - (12.60 * y_aux) - (22.64 * x_aux)
# return h
# # Convert CH y/x to WGS lat
# def CHtoWGSlat(self, y, x):
# # Axiliary values (% Bern)
# y_aux = (y - 600000) / 1000000
# x_aux = (x - 200000) / 1000000
# lat = (16.9023892 + (3.238272 * x_aux)) + \
# - (0.270978 * pow(y_aux, 2)) + \
# - (0.002528 * pow(x_aux, 2)) + \
# - (0.0447 * pow(y_aux, 2) * x_aux) + \
# - (0.0140 * pow(x_aux, 3))
# # Unit 10000" to 1" and convert seconds to degrees (dec)
# lat = (lat * 100) / 36
# return lat
# # Convert CH y/x to WGS long
# def CHtoWGSlng(self, y, x):
# # Axiliary values (% Bern)
# y_aux = (y - 600000) / 1000000
# x_aux = (x - 200000) / 1000000
# lng = (2.6779094 + (4.728982 * y_aux) + \
# + (0.791484 * y_aux * x_aux) + \
# + (0.1306 * y_aux * pow(x_aux, 2))) + \
# - (0.0436 * pow(y_aux, 3))
# # Unit 10000" to 1" and convert seconds to degrees (dec)
# lng = (lng * 100) / 36
# return lng
# # Convert decimal angle (° dec) to sexagesimal angle (dd.mmss,ss)
# def DecToSexAngle(self, dec):
# degree = int(math.floor(dec))
# minute = int(math.floor((dec - degree) * 60))
# second = (((dec - degree) * 60) - minute) * 60
# return degree + (float(minute) / 100) + (second / 10000)
#
# # Convert sexagesimal angle (dd.mmss,ss) to seconds
# def SexAngleToSeconds(self, dms):
# degree = 0
# minute = 0
# second = 0
# degree = math.floor(dms)
# minute = math.floor((dms - degree) * 100)
# second = (((dms - degree) * 100) - minute) * 100
# return second + (minute * 60) + (degree * 3600)
# # Convert sexagesimal angle (dd.mmss) to decimal angle (degrees)
# def SexToDecAngle(self, dms):
# degree = 0
# minute = 0
# second = 0
# degree = math.floor(dms)
# minute = math.floor((dms - degree) * 100)
# second = (((dms - degree) * 100) - minute) * 100
# return degree + (minute / 60) + (second / 3600)
# # Convert WGS lat/long (° dec) and height to CH h
# def WGStoCHh(self, lat, lng, h):
# lat = self.DecToSexAngle(lat)
# lng = self.DecToSexAngle(lng)
# lat = self.SexAngleToSeconds(lat)
# lng = self.SexAngleToSeconds(lng)
# # Axiliary values (% Bern)
# lat_aux = (lat - 169028.66) / 10000
# lng_aux = (lng - 26782.5) / 10000
# h = (h - 49.55) + (2.73 * lng_aux) + (6.94 * lat_aux)
# return h
# # Convert WGS lat/long (° dec) to CH x
# def WGStoCHx(self, lat, lng):
# lat = self.DecToSexAngle(lat)
# lng = self.DecToSexAngle(lng)
# lat = self.SexAngleToSeconds(lat)
# lng = self.SexAngleToSeconds(lng)
# # Axiliary values (% Bern)
# lat_aux = (lat - 169028.66) / 10000
# lng_aux = (lng - 26782.5) / 10000
# x = ((200147.07 + (308807.95 * lat_aux) + \
# + (3745.25 * pow(lng_aux, 2)) + \
# + (76.63 * pow(lat_aux,2))) + \
# - (194.56 * pow(lng_aux, 2) * lat_aux)) + \
# + (119.79 * pow(lat_aux, 3))
# return x
# # Convert WGS lat/long (° dec) to CH y
# def WGStoCHy(self, lat, lng):
# lat = self.DecToSexAngle(lat)
# lng = self.DecToSexAngle(lng)
# lat = self.SexAngleToSeconds(lat)
# lng = self.SexAngleToSeconds(lng)
# # Axiliary values (% Bern)
# lat_aux = (lat - 169028.66) / 10000
# lng_aux = (lng - 26782.5) / 10000
# y = (600072.37 + (211455.93 * lng_aux)) + \
# - (10938.51 * lng_aux * lat_aux) + \
# - (0.36 * lng_aux * pow(lat_aux, 2)) + \
# - (44.54 * pow(lng_aux, 3))
# return y
# def LV03toWGS84(self, east, north, height):
# '''
# Convert LV03 to WGS84 Return a array of double that contain lat, long,
# and height
# '''
# d = []
# d.append(self.CHtoWGSlat(east, north))
# d.append(self.CHtoWGSlng(east, north))
# d.append(self.CHtoWGSheight(east, north, height))
# return d
# def WGS84toLV03(self, latitude, longitude, ellHeight):
# '''
# Convert WGS84 to LV03 Return an array of double that contaign east,
# north, and height
# '''
# d = []
# d.append(self.WGStoCHy(latitude, longitude))
# d.append(self.WGStoCHx(latitude, longitude))
# d.append(self.WGStoCHh(latitude, longitude, ellHeight))
# return d
if __name__ == "__main__":
''' Example usage for the GPSConverter class.'''
converter = GPSConverter()
# Coordinates
wgs84 = [46.95108, 7.438637, 0]
lv03 = []
# Convert WGS84 to LV03 coordinates
lv03 = converter.WGS84toLV03(wgs84[0], wgs84[1], wgs84[2])
print("WGS84: ")
print(wgs84)
print("LV03: ")
print(lv03) | 39.52809 | 160 | 0.57824 | 1,831 | 14,072 | 4.399782 | 0.162753 | 0.00993 | 0.026812 | 0.008193 | 0.962512 | 0.962512 | 0.962512 | 0.962512 | 0.962512 | 0.962512 | 0 | 0.09398 | 0.295267 | 14,072 | 356 | 161 | 39.52809 | 0.717556 | 0.662237 | 0 | 0.411765 | 0 | 0 | 0.004802 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107843 | false | 0 | 0.009804 | 0 | 0.235294 | 0.039216 | 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 |
427083670f5663307a5a3d4e3f778828fe8c78dd | 97 | py | Python | app/app/views.py | AndreasBrennicke/djdocker | 8cd3e2ffc1acec685d5aa6710d318b2a54270051 | [
"MIT"
] | null | null | null | app/app/views.py | AndreasBrennicke/djdocker | 8cd3e2ffc1acec685d5aa6710d318b2a54270051 | [
"MIT"
] | null | null | null | app/app/views.py | AndreasBrennicke/djdocker | 8cd3e2ffc1acec685d5aa6710d318b2a54270051 | [
"MIT"
] | null | null | null | from django.shortcuts import render
def home(request):
return render(request,'base.html',{}) | 24.25 | 41 | 0.742268 | 13 | 97 | 5.538462 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123711 | 97 | 4 | 41 | 24.25 | 0.847059 | 0 | 0 | 0 | 0 | 0 | 0.091837 | 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 |
42980484e9d1d7078ca88ab3e7bfeb4e141f57d7 | 9,207 | py | Python | bentoml/server/__init__.py | hrmthw/BentoML | 3b066ed4f2e03b0953cf4260a4c100449bfacb3e | [
"Apache-2.0"
] | null | null | null | bentoml/server/__init__.py | hrmthw/BentoML | 3b066ed4f2e03b0953cf4260a4c100449bfacb3e | [
"Apache-2.0"
] | 1 | 2020-10-21T07:00:45.000Z | 2020-10-21T07:00:45.000Z | bentoml/server/__init__.py | bojiang/BentoML | 3b066ed4f2e03b0953cf4260a4c100449bfacb3e | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Atalaya Tech, Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import sys
import time
from typing import Optional
from simple_di import skip
from bentoml.configuration.containers import BentoMLContainer, get_container_state
logger = logging.getLogger(__name__)
def start_dev_server(
bundle_path: str,
port: Optional[int] = None,
mb_max_batch_size: Optional[int] = None,
mb_max_latency: Optional[int] = None,
run_with_ngrok: Optional[bool] = None,
enable_swagger: Optional[bool] = None,
timeout: Optional[int] = None,
):
BentoMLContainer.bundle_path.set(bundle_path)
bento_server = BentoMLContainer.config.bento_server
bento_server.port.set(port or skip)
bento_server.timeout.set(timeout or skip)
bento_server.microbatch.timeout.set(timeout or skip)
bento_server.swagger.enabled.set(enable_swagger or skip)
bento_server.microbatch.max_batch_size.set(mb_max_batch_size or skip)
bento_server.microbatch.max_latency.set(mb_max_latency or skip)
BentoMLContainer.prometheus_lock.get() # generate lock before fork
BentoMLContainer.forward_port.get() # generate port before fork
from circus.arbiter import Arbiter
from circus.util import DEFAULT_ENDPOINT_DEALER, DEFAULT_ENDPOINT_SUB
from circus.watcher import Watcher
watchers = []
if run_with_ngrok:
watchers.append(
Watcher(
name="ngrok",
cmd=f'{sys.executable} -c "import bentoml; bentoml.server._start_ngrok_server()"',
env={
"LC_ALL": "en_US.utf-8",
"LANG": "en_US.utf-8",
"_BENTOML_CONTAINER_STATE": get_container_state(),
},
numprocesses=1,
stop_children=True,
)
)
watchers.append(
Watcher(
name="ngrok",
cmd=f'{sys.executable} -c "import bentoml; bentoml.server._start_dev_server()"',
env={
"LC_ALL": "en_US.utf-8",
"LANG": "en_US.utf-8",
"_BENTOML_CONTAINER_STATE": get_container_state(),
},
numprocesses=1,
stop_children=True,
)
)
watchers.append(
Watcher(
name="ngrok",
cmd=f'{sys.executable} -c "import bentoml; bentoml.server._start_dev_proxy()"',
env={
"LC_ALL": "en_US.utf-8",
"LANG": "en_US.utf-8",
"_BENTOML_CONTAINER_STATE": get_container_state(),
},
numprocesses=1,
stop_children=True,
)
)
arbiter = Arbiter(
watchers=watchers,
endpoint=DEFAULT_ENDPOINT_DEALER,
pubsub_endpoint=DEFAULT_ENDPOINT_SUB,
)
arbiter.start()
def start_prod_server(
bundle_path: str,
port: Optional[int] = None,
workers: Optional[int] = None,
timeout: Optional[int] = None,
enable_swagger: Optional[bool] = None,
mb_max_batch_size: Optional[int] = None,
mb_max_latency: Optional[int] = None,
microbatch_workers: Optional[int] = None,
):
import psutil
assert (
psutil.POSIX
), "BentoML API Server production mode only supports POSIX platforms"
BentoMLContainer.bundle_path.set(bundle_path)
bento_server = BentoMLContainer.config.bento_server
bento_server.port.set(port or skip)
bento_server.timeout.set(timeout or skip)
bento_server.microbatch.timeout.set(timeout or skip)
bento_server.workers.set(workers or skip)
bento_server.swagger.enabled.set(enable_swagger or skip)
bento_server.microbatch.workers.set(microbatch_workers or skip)
bento_server.microbatch.max_batch_size.set(mb_max_batch_size or skip)
bento_server.microbatch.max_latency.set(mb_max_latency or skip)
BentoMLContainer.prometheus_lock.get() # generate lock before fork
BentoMLContainer.forward_port.get() # generate port before fork
from circus.arbiter import Arbiter
from circus.util import DEFAULT_ENDPOINT_DEALER, DEFAULT_ENDPOINT_SUB
from circus.watcher import Watcher
container_state = get_container_state()
watcher1 = Watcher(
name="ngrok",
cmd=f'{sys.executable} -c "import bentoml; bentoml.server._start_prod_server()"',
env={
"LC_ALL": "en_US.utf-8",
"LANG": "en_US.utf-8",
"_BENTOML_CONTAINER_STATE": container_state,
},
numprocesses=1,
stop_children=True,
)
watcher2 = Watcher(
name="ngrok",
cmd=f'{sys.executable} -c "import bentoml; bentoml.server._start_prod_proxy()"',
env={
"LC_ALL": "en_US.utf-8",
"LANG": "en_US.utf-8",
"_BENTOML_CONTAINER_STATE": container_state,
},
numprocesses=1,
stop_children=True,
)
arbiter = Arbiter(
watchers=[watcher1, watcher2],
endpoint=DEFAULT_ENDPOINT_DEALER,
pubsub_endpoint=DEFAULT_ENDPOINT_SUB,
)
arbiter.start()
def _start_ngrok_server():
from bentoml.utils.flask_ngrok import start_ngrok
time.sleep(1)
start_ngrok(BentoMLContainer.config.bento_server.port.get())
def _start_dev_server():
BentoMLContainer.model_app.get().run()
def _start_dev_proxy():
BentoMLContainer.proxy_app.get().run()
def _start_prod_server():
BentoMLContainer.model_server.get().run()
def _start_prod_proxy():
BentoMLContainer.proxy_server.get().run()
def start_prod_server1(
bundle_path: str,
port: Optional[int] = None,
workers: Optional[int] = None,
timeout: Optional[int] = None,
enable_swagger: Optional[bool] = None,
mb_max_batch_size: Optional[int] = None,
mb_max_latency: Optional[int] = None,
microbatch_workers: Optional[int] = None,
):
import psutil
assert (
psutil.POSIX
), "BentoML API Server production mode only supports POSIX platforms"
BentoMLContainer.bundle_path.set(bundle_path)
bento_server = BentoMLContainer.config.bento_server
bento_server.port.set(port or skip)
bento_server.timeout.set(timeout or skip)
bento_server.microbatch.timeout.set(timeout or skip)
bento_server.workers.set(workers or skip)
bento_server.swagger.enabled.set(enable_swagger or skip)
bento_server.microbatch.workers.set(microbatch_workers or skip)
bento_server.microbatch.max_batch_size.set(mb_max_batch_size or skip)
bento_server.microbatch.max_latency.set(mb_max_latency or skip)
BentoMLContainer.prometheus_lock.get() # generate lock before fork
BentoMLContainer.forward_port.get() # generate port before fork
from circus.arbiter import Arbiter
from circus.util import DEFAULT_ENDPOINT_DEALER, DEFAULT_ENDPOINT_SUB
from circus.watcher import Watcher
container_state = get_container_state()
watchers = []
watchers.append(
Watcher(
name="ngrok",
cmd=f'{sys.executable} -c "import bentoml; bentoml.server._start_prod_api_server()"',
env={
"LC_ALL": "en_US.utf-8",
"LANG": "en_US.utf-8",
"_BENTOML_CONTAINER_STATE": container_state,
},
numprocesses=1,
stop_children=True,
)
)
watchers.append(
Watcher(
name="ngrok",
cmd=f'{sys.executable} -c "import bentoml; bentoml.server._start_prod_proxy()"',
env={
"LC_ALL": "en_US.utf-8",
"LANG": "en_US.utf-8",
"_BENTOML_CONTAINER_STATE": container_state,
},
numprocesses=1,
stop_children=True,
)
)
for runner in BentoMLContainer.service.get_runners():
watchers.append(
Watcher(
name="ngrok",
cmd=f'{sys.executable} -c "import bentoml; bentoml.server._start_prod_runner_server({runner.name})"',
env={
"LC_ALL": "en_US.utf-8",
"LANG": "en_US.utf-8",
"_BENTOML_CONTAINER_STATE": container_state,
},
numprocesses=runner.replicas,
stop_children=True,
)
)
arbiter = Arbiter(
watchers=watchers,
endpoint=DEFAULT_ENDPOINT_DEALER,
pubsub_endpoint=DEFAULT_ENDPOINT_SUB,
)
arbiter.start()
def _start_prod_api_server():
BentoMLContainer.api_server.get().run()
def _start_prod_runner_server(name, fd):
import uvicorn
runner = BentoMLContainer.service.get_runner_by_name(name)
uvicorn.run(runner._asgi_app, fd=fd, log_level="info")
| 30.69 | 117 | 0.649506 | 1,094 | 9,207 | 5.215722 | 0.159963 | 0.055906 | 0.036628 | 0.056607 | 0.791272 | 0.780757 | 0.762355 | 0.762355 | 0.755345 | 0.755345 | 0 | 0.005379 | 0.252851 | 9,207 | 299 | 118 | 30.792642 | 0.824102 | 0.076789 | 0 | 0.71179 | 0 | 0.004367 | 0.144289 | 0.058941 | 0 | 0 | 0 | 0 | 0.008734 | 1 | 0.043668 | false | 0 | 0.117904 | 0 | 0.161572 | 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 |
42b141b984c923742d2974ec33736d492286d8eb | 501,874 | py | Python | python/leetcode/392.py | ParkinWu/leetcode | b31312bdefbb2be795f3459e1a76fbc927cab052 | [
"MIT"
] | null | null | null | python/leetcode/392.py | ParkinWu/leetcode | b31312bdefbb2be795f3459e1a76fbc927cab052 | [
"MIT"
] | null | null | null | python/leetcode/392.py | ParkinWu/leetcode | b31312bdefbb2be795f3459e1a76fbc927cab052 | [
"MIT"
] | null | null | null | # 给定字符串 s 和 t ，判断 s 是否为 t 的子序列。
#
# 你可以认为 s 和 t 中仅包含英文小写字母。字符串 t 可能会很长（长度 ~= 500,000），而 s 是个短字符串（长度 <=100）。
#
# 字符串的一个子序列是原始字符串删除一些（也可以不删除）字符而不改变剩余字符相对位置形成的新字符串。（例如，"ace"是"abcde"的一个子序列，而"aec"不是）。
#
# 示例 1:
# s = "abc", t = "ahbgdc"
#
# 返回 true.
#
# 示例 2:
# s = "axc", t = "ahbgdc"
#
# 返回 false.
#
# 后续挑战 :
#
# 如果有大量输入的 S，称作S1, S2, ... , Sk 其中 k >= 10亿，你需要依次检查它们是否为 T 的子序列。在这种情况下，你会怎样改变代码？
#
# 致谢:
#
# 特别感谢 @pbrother 添加此问题并且创建所有测试用例。
#
# 来源：力扣（LeetCode）
# 链接：https://leetcode-cn.com/problems/is-subsequence
# 著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
class Solution:
# stack overflow
# def isSubsequence(self, s: str, t: str) -> bool:
# if not s:
# return True
# if not t or len(t) < len(s):
# return False
# if s[-1] == t[-1]:
# return self.isSubsequence(s[:-1], t[:-1])
# else:
# return self.isSubsequence(s, t[:-1])
# timeout
# def isSubsequence(self, s: str, t: str) -> bool:
#
# while s and t:
# if s[0] == t[0]:
# s = s[1:]
# t = t[1:]
# else:
# t = t[1:]
#
# if not s:
# return True
# return False
def isSubsequence(self, s: str, t: str) -> bool:
length_s = len(s)
length_t = len(t)
i = 0
j = 0
count = 0
while (i < length_s and j < length_t):
if t[j] == s[i]:
j += 1
i += 1
count += 1
else:
j += 1
if count == length_s:
return True
else:
return False
if __name__ == '__main__':
s = Solution()
print(s.isSubsequence("pppsppuppppbsppppppppppppppppppppepppppppppppqpupppepppppppppppppppnpppppppcppppppppppppeppppppppppp", 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g"))
print(s.isSubsequence("axc", "ahbgdc"))
| 6,352.835443 | 500,134 | 0.998129 | 233 | 501,874 | 2,149.879828 | 0.39485 | 0.00002 | 0.00012 | 0.000126 | 0.000256 | 0.000192 | 0.000192 | 0.000192 | 0 | 0 | 0 | 0.000064 | 0.001319 | 501,874 | 78 | 500,135 | 6,434.282051 | 0.999358 | 0.001993 | 0 | 0.181818 | 0 | 0 | 0.99859 | 0.998556 | 0 | 1 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0 | 0 | 0.181818 | 0.090909 | 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 |
35f57546097d43ea20e648ee3b45299efcb16580 | 11,729 | py | Python | tests/test_apply.py | TannerRogalsky/pennylane-qiskit | 4d1646d17d36cc28bfd61c03d32f130e3e14e278 | [
"Apache-2.0"
] | 75 | 2020-08-07T14:21:15.000Z | 2022-03-23T15:19:28.000Z | tests/test_apply.py | TannerRogalsky/pennylane-qiskit | 4d1646d17d36cc28bfd61c03d32f130e3e14e278 | [
"Apache-2.0"
] | 110 | 2020-07-28T07:02:17.000Z | 2022-03-28T20:47:27.000Z | tests/test_apply.py | TannerRogalsky/pennylane-qiskit | 4d1646d17d36cc28bfd61c03d32f130e3e14e278 | [
"Apache-2.0"
] | 23 | 2020-08-06T08:07:18.000Z | 2022-03-03T01:28:26.000Z | import pytest
import numpy as np
import pennylane as qml
from scipy.linalg import block_diag
from pennylane_qiskit import AerDevice, BasicAerDevice
from conftest import U, U2, A
np.random.seed(42)
# global variables and rotations
I = np.identity(2)
X = np.array([[0, 1], [1, 0]])
Y = np.array([[0, -1j], [1j, 0]])
Z = np.array([[1, 0], [0, -1]])
H = np.array([[1, 1], [1, -1]]) / np.sqrt(2)
S = np.diag([1, 1j])
T = np.diag([1, np.exp(1j * np.pi / 4)])
SWAP = np.array([[1, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 0, 0, 1]])
CNOT = np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0]])
CZ = np.diag([1, 1, 1, -1])
toffoli = np.diag([1 for i in range(8)])
toffoli[6:8, 6:8] = np.array([[0, 1], [1, 0]])
CSWAP = block_diag(I, I, SWAP)
phase_shift = lambda phi: np.array([[1, 0], [0, np.exp(1j * phi)]])
rx = lambda theta: np.cos(theta / 2) * I + 1j * np.sin(-theta / 2) * X
ry = lambda theta: np.cos(theta / 2) * I + 1j * np.sin(-theta / 2) * Y
rz = lambda theta: np.cos(theta / 2) * I + 1j * np.sin(-theta / 2) * Z
rot = lambda a, b, c: rz(c) @ (ry(b) @ rz(a))
crz = lambda theta: np.array(
[
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, np.exp(-1j * theta / 2), 0],
[0, 0, 0, np.exp(1j * theta / 2)],
]
)
single_qubit_operations = [qml.Identity, qml.PauliX, qml.PauliY, qml.PauliZ, qml.Hadamard, qml.S, qml.T, qml.SX]
single_qubit_operations_param = [qml.PhaseShift, qml.RX, qml.RY, qml.RZ]
two_qubit = [qml.CNOT, qml.SWAP, qml.CZ]
two_qubit_param = [qml.CRZ]
three_qubit = [qml.Toffoli, qml.CSWAP]
@pytest.mark.parametrize("shots", [None])
@pytest.mark.usefixtures("skip_unitary")
class TestAnalyticApply:
"""Test application of PennyLane operations with analytic calculation."""
def test_qubit_state_vector(self, init_state, device, tol):
"""Test that the QubitStateVector operation produces the expected
result with the apply method."""
dev = device(1)
state = init_state(1)
dev.apply([qml.QubitStateVector(state, wires=[0])])
res = np.abs(dev.state) ** 2
expected = np.abs(state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("operation", single_qubit_operations)
def test_single_qubit_operations_no_parameters(self, init_state, device, operation, tol):
"""Test that single qubit operations that take no parameters work fine
with the apply method."""
dev = device(1)
state = init_state(1)
applied_operation = operation(wires=[0])
dev.apply([qml.QubitStateVector(state, wires=[0]), applied_operation])
res = np.abs(dev.state) ** 2
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("theta", [0.5432, -0.232])
@pytest.mark.parametrize("operation", single_qubit_operations_param)
def test_single_qubit_operations_parameters(self, init_state, device, operation, theta, tol):
"""Test that single qubit parametrized operations work fine with the
apply method."""
dev = device(1)
state = init_state(1)
applied_operation = operation(theta, wires=[0])
dev.apply([qml.QubitStateVector(state, wires=[0]), applied_operation])
res = np.abs(dev.state) ** 2
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("operation", two_qubit)
def test_two_qubit_operations_no_parameters(self, init_state, device, operation, tol):
"""Test that two qubit operations that take no parameters work fine
with the apply method."""
dev = device(2)
state = init_state(2)
wires = [0, 1]
applied_operation = operation(wires=wires)
dev.apply([qml.QubitStateVector(state, wires=wires), applied_operation])
res = np.abs(dev.state) ** 2
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("theta", [0.5432, -0.232])
@pytest.mark.parametrize("operation", two_qubit_param)
def test_two_qubit_operations_parameters(self, init_state, device, operation, theta, tol):
"""Test that two qubit parametrized operations work fine with the
apply method."""
dev = device(2)
state = init_state(2)
wires = [0, 1]
applied_operation = operation(theta, wires=wires)
dev.apply([qml.QubitStateVector(state, wires=wires), applied_operation])
res = np.abs(dev.state) ** 2
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("operation", three_qubit)
def test_three_qubit_operations_no_parameters(self, init_state, device, operation, tol):
"""Test that three qubit operations that take no parameters work fine
with the apply method."""
dev = device(3)
state = init_state(3)
applied_operation = operation(wires=[0, 1, 2])
dev.apply([qml.QubitStateVector(state, wires=[0, 1, 2]), applied_operation])
res = np.abs(dev.state) ** 2
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("shots", [None])
@pytest.mark.usefixtures("run_only_for_unitary")
class TestStateApplyUnitarySimulator:
"""Test application of PennyLane operations to the unitary simulator."""
def test_invalid_qubit(self, init_state, device):
"""Test that an exception is raised if the
unitary matrix is applied on a unitary simulator."""
dev = device(1)
state = init_state(1)
with pytest.raises(
qml.DeviceError,
match="The QubitStateVector operation is not supported on the unitary simulator backend",
):
dev.apply([qml.QubitStateVector(state, wires=[0])])
@pytest.mark.parametrize("shots", [8192])
@pytest.mark.usefixtures("skip_unitary")
class TestNonAnalyticApply:
"""Test application of PennyLane operations with non-analytic calculation."""
def test_qubit_state_vector(self, init_state, device, tol):
"""Test that the QubitStateVector operation produces the expected
result with the apply method."""
dev = device(1)
state = init_state(1)
wires = [0]
dev.apply([qml.QubitStateVector(state, wires=wires)])
dev._samples = dev.generate_samples()
res = np.fromiter(dev.probability(), dtype=np.float64)
expected = np.abs(state) ** 2
assert np.allclose(res, expected, **tol)
def test_invalid_qubit_state_vector(self, device):
"""Test that an exception is raised if the state
vector is the wrong size"""
dev = device(2)
state = np.array([0, 123.432])
wires = [0, 1]
with pytest.raises(ValueError, match=r"State vector must be of length 2\*\*wires"):
dev.apply([qml.QubitStateVector(state, wires=wires)])
@pytest.mark.parametrize("mat", [U, U2])
def test_qubit_unitary(self, init_state, device, mat, tol):
"""Test that the QubitUnitary operation produces the expected result
with the apply method."""
N = int(np.log2(len(mat)))
dev = device(N)
state = init_state(N)
wires = list(range(N))
dev.apply([qml.QubitStateVector(state, wires=wires), qml.QubitUnitary(mat, wires=wires)])
dev._samples = dev.generate_samples()
res = np.fromiter(dev.probability(), dtype=np.float64)
expected = np.abs(mat @ state) ** 2
assert np.allclose(res, expected, **tol)
def test_invalid_qubit_unitary(self, device):
"""Test that an exception is raised if the
unitary matrix is the wrong size"""
dev = device(2)
state = np.array([[0, 123.432], [-0.432, 023.4]])
with pytest.raises(ValueError, match=r"Input unitary must be of shape"):
dev.apply([qml.QubitUnitary(state, wires=[0, 1])])
@pytest.mark.parametrize("operation", single_qubit_operations)
def test_single_qubit_operations_no_parameters(self, init_state, device, operation, tol):
"""Test that single qubit operations that take no parameters work fine
with the apply method."""
dev = device(1)
state = init_state(1)
wires = [0]
applied_operation = operation(wires=wires)
dev.apply([qml.QubitStateVector(state, wires=wires), applied_operation])
dev._samples = dev.generate_samples()
res = np.fromiter(dev.probability(), dtype=np.float64)
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("theta", [0.5432, -0.232])
@pytest.mark.parametrize("operation", single_qubit_operations_param)
def test_single_qubit_operations_parameters(self, init_state, device, operation, theta, tol):
"""Test that single qubit parametrized operations work fine with the
apply method."""
dev = device(1)
state = init_state(1)
wires = [0]
applied_operation = operation(theta, wires=wires)
dev.apply([qml.QubitStateVector(state, wires=wires), applied_operation])
dev._samples = dev.generate_samples()
res = np.fromiter(dev.probability(), dtype=np.float64)
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("operation", two_qubit)
def test_two_qubit_no_parameters(self, init_state, device, operation, tol):
"""Test that two qubit operations that take no parameters work fine
with the apply method."""
dev = device(2)
state = init_state(2)
wires = [0, 1]
applied_operation = operation(wires=wires)
dev.apply([qml.QubitStateVector(state, wires=wires), applied_operation])
dev._samples = dev.generate_samples()
res = np.fromiter(dev.probability(), dtype=np.float64)
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("theta", [0.5432, -0.232])
@pytest.mark.parametrize("operation", two_qubit_param)
def test_two_qubit_operations_parameters(self, init_state, device, operation, theta, tol):
"""Test that two qubit parametrized operations work fine with the
apply method."""
dev = device(2)
state = init_state(2)
wires = [0, 1]
applied_operation = operation(theta, wires=wires)
dev.apply([qml.QubitStateVector(state, wires=wires), applied_operation])
dev._samples = dev.generate_samples()
res = np.fromiter(dev.probability(), dtype=np.float64)
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
@pytest.mark.parametrize("operation", three_qubit)
def test_three_qubit_no_parameters(self, init_state, device, operation, tol):
"""Test that three qubit operations that take no parameters work fine
with the apply method."""
dev = device(3)
state = init_state(3)
applied_operation = operation(wires=[0, 1, 2])
wires = [0, 1, 2]
dev.apply([qml.QubitStateVector(state, wires=wires), applied_operation])
dev._samples = dev.generate_samples()
res = np.fromiter(dev.probability(), dtype=np.float64)
expected = np.abs(applied_operation.matrix @ state) ** 2
assert np.allclose(res, expected, **tol)
| 38.966777 | 112 | 0.643448 | 1,571 | 11,729 | 4.696372 | 0.110121 | 0.065058 | 0.051233 | 0.054893 | 0.833424 | 0.824885 | 0.794524 | 0.774058 | 0.752372 | 0.738276 | 0 | 0.028734 | 0.222611 | 11,729 | 300 | 113 | 39.096667 | 0.780434 | 0.136329 | 0 | 0.643216 | 0 | 0 | 0.032607 | 0 | 0 | 0 | 0 | 0 | 0.065327 | 1 | 0.080402 | false | 0 | 0.030151 | 0 | 0.125628 | 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 |
c41cf2daa509ddbc372f09cf7cf183607dc204f1 | 90 | py | Python | pe_tools/__init__.py | akx/pe_tools | e480686b884bc9f78da171f5b66c15bcd1e405ae | [
"MIT"
] | null | null | null | pe_tools/__init__.py | akx/pe_tools | e480686b884bc9f78da171f5b66c15bcd1e405ae | [
"MIT"
] | null | null | null | pe_tools/__init__.py | akx/pe_tools | e480686b884bc9f78da171f5b66c15bcd1e405ae | [
"MIT"
] | null | null | null | from .pe_parser import *
from .rsrc import *
from .version_info import parse_version_info
| 22.5 | 44 | 0.811111 | 14 | 90 | 4.928571 | 0.571429 | 0.289855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 90 | 3 | 45 | 30 | 0.884615 | 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 |
c46ae83c1f93639ae5b131c0b7c9e4139fa51f63 | 20 | py | Python | core/drivers/extract/driver/__init__.py | cmu-db/cmdbac | 1f981e6f110728e51ba4ffdb90ff2d4ce091057a | [
"Apache-2.0"
] | 31 | 2016-04-07T04:54:29.000Z | 2021-11-30T02:30:57.000Z | core/drivers/extract/driver/__init__.py | cmu-db/db-webcrawler | 1f981e6f110728e51ba4ffdb90ff2d4ce091057a | [
"Apache-2.0"
] | 22 | 2015-12-19T14:49:18.000Z | 2021-09-07T23:48:24.000Z | core/drivers/extract/driver/__init__.py | cmu-db/dbac | 1f981e6f110728e51ba4ffdb90ff2d4ce091057a | [
"Apache-2.0"
] | 7 | 2016-05-13T01:02:01.000Z | 2019-10-06T16:52:54.000Z | from driver import * | 20 | 20 | 0.8 | 3 | 20 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 20 | 1 | 20 | 20 | 0.941176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
c47eec1e927c7300672156105eed4deb5ab40c3d | 41,849 | py | Python | source/codegen/metadata/nixnet/functions.py | tdunkle/grpc-device | 2c784476327595fdeae06d6a3fc7aaf6daac597e | [
"MIT"
] | null | null | null | source/codegen/metadata/nixnet/functions.py | tdunkle/grpc-device | 2c784476327595fdeae06d6a3fc7aaf6daac597e | [
"MIT"
] | null | null | null | source/codegen/metadata/nixnet/functions.py | tdunkle/grpc-device | 2c784476327595fdeae06d6a3fc7aaf6daac597e | [
"MIT"
] | null | null | null | functions = {
'Blink': {
'parameters': [
{
'direction': 'in',
'name': 'interfaceRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'BlinkMode',
'name': 'modifier',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'Clear': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
}
],
'returns': 'nxStatus_t'
},
'ConnectTerminals': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'TerminalName',
'name': 'source',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'TerminalName',
'name': 'destination',
'type': 'const char[]'
}
],
'returns': 'nxStatus_t'
},
'ConvertByteArrayToFramesSinglePoint': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'valueBuffer',
'size': {
'mechanism': 'len',
'value': 'sizeOfValueBuffer'
},
'type': 'u8[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'buffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfBuffer'
},
'type': 'void[]'
},
{
'direction': 'in',
'name': 'sizeOfBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'numberOfBytesReturned',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'ConvertFramesToByteArraySinglePoint': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'frameBuffer',
'size': {
'mechanism': 'len',
'value': 'numberOfBytesForFrames'
},
'type': 'void[]'
},
{
'direction': 'in',
'name': 'numberOfBytesForFrames',
'type': 'u32'
},
{
'direction': 'out',
'name': 'valueBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfValueBuffer'
},
'type': 'u8[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'ConvertFramesToSignalsSinglePoint': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'frameBuffer',
'size': {
'mechanism': 'len',
'value': 'numberOfBytesForFrames'
},
'type': 'void[]'
},
{
'direction': 'in',
'name': 'numberOfBytesForFrames',
'type': 'u32'
},
{
'direction': 'out',
'name': 'valueBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfValueBuffer'
},
'type': 'f64[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'timestampBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfTimestampBuffer'
},
'type': 'nxTimestamp100ns_t[]'
},
{
'direction': 'in',
'name': 'sizeOfTimestampBuffer',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'ConvertSignalsToFramesSinglePoint': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'valueBuffer',
'size': {
'mechanism': 'len',
'value': 'sizeOfValueBuffer'
},
'type': 'f64[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'buffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfBuffer'
},
'type': 'void[]'
},
{
'direction': 'in',
'name': 'sizeOfBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'numberOfBytesReturned',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'ConvertTimestamp100nsTo1ns': {
'parameters': [
{
'direction': 'in',
'name': 'from',
'type': 'nxTimestamp100ns_t'
},
{
'direction': 'out',
'name': 'to',
'type': 'nxTimestamp1ns_t'
}
],
'returns': 'nxStatus_t'
},
'ConvertTimestamp1nsTo100ns': {
'parameters': [
{
'direction': 'in',
'name': 'from',
'type': 'nxTimestamp1ns_t'
},
{
'direction': 'out',
'name': 'to',
'type': 'nxTimestamp100ns_t'
}
],
'returns': 'nxStatus_t'
},
'CreateSession': {
'init_method': True,
'parameters': [
{
'direction': 'in',
'name': 'databaseName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'clusterName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'list',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'interface',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'CreateSessionMode',
'name': 'mode',
'type': 'u32'
},
{
'direction': 'out',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
}
],
'returns': 'nxStatus_t'
},
'CreateSessionByRef': {
'init_method': True,
'parameters': [
{
'direction': 'in',
'name': 'numberOfDatabaseRef',
'type': 'u32'
},
{
'direction': 'in',
'size': {
'mechanism': 'len',
'value': 'numberOfDatabaseRef'
},
'name': 'arrayOfDatabaseRef',
'type': 'nxDatabaseRef_t[]'
},
{
'direction': 'in',
'name': 'interface',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'CreateSessionMode',
'name': 'mode',
'type': 'u32'
},
{
'direction': 'out',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
}
],
'returns': 'nxStatus_t'
},
'DbAddAlias': {
'cname': 'nxdbAddAlias',
'parameters': [
{
'direction': 'in',
'name': 'databaseAlias',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'databaseFilepath',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'defaultBaudRate',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'DbAddAlias64': {
'cname': 'nxdbAddAlias64',
'parameters': [
{
'direction': 'in',
'name': 'databaseAlias',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'databaseFilepath',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'defaultBaudRate',
'type': 'u64'
}
],
'returns': 'nxStatus_t'
},
'DbCloseDatabase': {
'cname': 'nxdbCloseDatabase',
'parameters': [
{
'direction': 'in',
'name': 'databaseRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'name': 'closeAllRefs',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'DbCreateObject': {
'codegen_method': 'no',
'cname': 'nxdbCreateObject',
'parameters': [
{
'direction': 'in',
'name': 'parentObjectRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'name': 'objectClass',
'type': 'u32'
},
{
'direction': 'in',
'name': 'objectName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'dbObjectRef',
'type': 'nxDatabaseRef_t'
}
],
'returns': 'nxStatus_t'
},
'DbDeleteObject': {
'cname': 'nxdbDeleteObject',
'parameters': [
{
'direction': 'in',
'name': 'dbObjectRef',
'type': 'nxDatabaseRef_t'
}
],
'returns': 'nxStatus_t'
},
'DbDeploy': {
'cname': 'nxdbDeploy',
'parameters': [
{
'direction': 'in',
'name': 'ipAddress',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'databaseAlias',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'waitForComplete',
'type': 'u32'
},
{
'direction': 'out',
'name': 'percentComplete',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'DbFindObject': {
'codegen_method': 'no',
'cname': 'nxdbFindObject',
'parameters': [
{
'direction': 'in',
'name': 'parentObjectRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'name': 'objectClass',
'type': 'u32'
},
{
'direction': 'in',
'name': 'objectName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'dbObjectRef',
'type': 'nxDatabaseRef_t'
}
],
'returns': 'nxStatus_t'
},
'DbGetDBCAttribute': {
'cname': 'nxdbGetDBCAttribute',
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'dbObjectRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'enum': 'GetDBCAttributeMode',
'name': 'mode',
'type': 'u32'
},
{
'direction': 'in',
'name': 'attributeName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'attributeTextSize',
'type': 'u32'
},
{
'direction': 'in',
'name': 'attributeText',
'type': 'char[]'
},
{
'direction': 'out',
'name': 'isDefault',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'DbGetDBCAttributeSize': {
'codegen_method': 'no',
'cname': 'nxdbGetDBCAttributeSize',
'parameters': [
{
'direction': 'in',
'name': 'dbObjectRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'enum': 'GetDBCAttributeMode',
'name': 'mode',
'type': 'u32'
},
{
'direction': 'in',
'name': 'attributeName',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'attributeTextSize',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'DbGetDatabaseList': {
'cname': 'nxdbGetDatabaseList',
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'ipAddress',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'sizeofAliasBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'aliasBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeofAliasBuffer'
},
'type': 'char[]'
},
{
'direction': 'in',
'name': 'sizeofFilepathBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'filepathBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeofFilepathBuffer'
},
'type': 'char[]'
},
{
'direction': 'out',
'name': 'numberOfDatabases',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'DbGetDatabaseListSizes': {
'cname': 'nxdbGetDatabaseListSizes',
'parameters': [
{
'direction': 'in',
'name': 'ipAddress',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'sizeofAliasBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'sizeofFilepathBuffer',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'DbGetProperty': {
'cname': 'nxdbGetProperty',
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'dbObjectRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'enum': 'DBProperties',
'name': 'propertyID',
'type': 'u32'
},
{
'direction': 'in',
'name': 'propertySize',
'type': 'u32'
},
{
'direction': 'out',
'enum': 'DBPropertyValue',
'name': 'propertyValue',
'type': 'void[]'
}
],
'returns': 'nxStatus_t'
},
'DbGetPropertySize': {
'cname': 'nxdbGetPropertySize',
'parameters': [
{
'direction': 'in',
'name': 'dbObjectRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'enum': 'DBProperties',
'name': 'propertyID',
'type': 'u32'
},
{
'direction': 'out',
'name': 'propertySize',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'DbMerge': {
'cname': 'nxdbMerge',
'parameters': [
{
'direction': 'in',
'name': 'targetClusterRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'name': 'sourceObjRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'enum': 'CopyMode',
'name': 'copyMode',
'type': 'u32'
},
{
'direction': 'in',
'name': 'prefix',
'type': 'char[]'
},
{
'direction': 'in',
'name': 'waitForComplete',
'type': 'u32'
},
{
'direction': 'out',
'name': 'percentComplete',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'DbOpenDatabase': {
'cname': 'nxdbOpenDatabase',
'init_method': True,
'parameters': [
{
'direction': 'in',
'name': 'databaseName',
'type': 'const char[]'
},
{
'direction': 'out',
'name': 'databaseRef',
'type': 'nxDatabaseRef_t'
}
],
'returns': 'nxStatus_t'
},
'DbRemoveAlias': {
'cname': 'nxdbRemoveAlias',
'parameters': [
{
'direction': 'in',
'name': 'databaseAlias',
'type': 'const char[]'
}
],
'returns': 'nxStatus_t'
},
'DbSaveDatabase': {
'cname': 'nxdbSaveDatabase',
'parameters': [
{
'direction': 'in',
'name': 'databaseRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'name': 'dbFilepath',
'type': 'const char[]'
}
],
'returns': 'nxStatus_t'
},
'DbSetProperty': {
'cname': 'nxdbSetProperty',
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'dbObjectRef',
'type': 'nxDatabaseRef_t'
},
{
'direction': 'in',
'enum': 'DBProperties',
'name': 'propertyID',
'type': 'u32'
},
{
'direction': 'in',
'name': 'propertySize',
'type': 'u32'
},
{
'direction': 'out',
'name': 'propertyValue',
'type': 'void[]'
}
],
'returns': 'nxStatus_t'
},
'DbUndeploy': {
'cname': 'nxdbUndeploy',
'parameters': [
{
'direction': 'in',
'name': 'ipAddress',
'type': 'const char[]'
},
{
'direction': 'in',
'name': 'databaseAlias',
'type': 'const char[]'
}
],
'returns': 'nxStatus_t'
},
'DisconnectTerminals': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'TerminalName',
'name': 'source',
'type': 'const char[]'
},
{
'direction': 'in',
'enum': 'TerminalName',
'name': 'destination',
'type': 'const char[]'
}
],
'returns': 'nxStatus_t'
},
'Flush': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
}
],
'returns': 'nxStatus_t'
},
'FutureTimeTrigger': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'when',
'type': 'nxTimestamp1ns_t'
},
{
'direction': 'in',
'enum': 'TimeScale',
'name': 'timescale',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'GetProperty': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'Properties',
'name': 'propertyID',
'type': 'u32'
},
{
'direction': 'in',
'name': 'propertySize',
'type': 'u32'
},
{
'direction': 'out',
'enum': 'PropertyValue',
'name': 'propertyValue',
'type': 'void[]'
}
],
'returns': 'nxStatus_t'
},
'GetPropertySize': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'Properties',
'name': 'propertyID',
'type': 'u32'
},
{
'direction': 'out',
'name': 'propertySize',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'GetSubProperty': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'activeIndex',
'type': 'u32'
},
{
'direction': 'in',
'enum': 'SubProperties',
'name': 'propertyID',
'type': 'u32'
},
{
'direction': 'in',
'name': 'propertySize',
'type': 'u32'
},
{
'direction': 'out',
'enum': 'SubPropertyValue',
'name': 'propertyValue',
'type': 'void[]'
}
],
'returns': 'nxStatus_t'
},
'GetSubPropertySize': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'activeIndex',
'type': 'u32'
},
{
'direction': 'in',
'enum': 'SubProperties',
'name': 'propertyID',
'type': 'u32'
},
{
'direction': 'out',
'name': 'propertySize',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'ReadFrame': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'out',
'name': 'buffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfBuffer'
},
'type': 'void[]'
},
{
'direction': 'in',
'name': 'sizeOfBuffer',
'type': 'u32'
},
{
'direction': 'in',
'enum': 'TimeOut',
'name': 'timeout',
'type': 'f64'
},
{
'direction': 'out',
'name': 'numberOfBytesReturned',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'ReadSignalSinglePoint': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'out',
'name': 'valueBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfValueBuffer'
},
'type': 'f64[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'timestampBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfTimestampBuffer'
},
'type': 'nxTimestamp100ns_t[]'
},
{
'direction': 'in',
'name': 'sizeOfTimestampBuffer',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'ReadSignalWaveform': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'TimeOut',
'name': 'timeout',
'type': 'f64'
},
{
'direction': 'out',
'name': 'startTime',
'type': 'nxTimestamp100ns_t'
},
{
'direction': 'out',
'name': 'deltaTime',
'type': 'f64'
},
{
'direction': 'out',
'name': 'valueBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfValueBuffer'
},
'type': 'f64[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'numberOfValuesReturned',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'ReadSignalXY': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'timeLimit',
'type': 'nxTimestamp100ns_t'
},
{
'direction': 'out',
'name': 'valueBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfValueBuffer'
},
'type': 'f64[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'timestampBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfTimestampBuffer'
},
'type': 'nxTimestamp100ns_t[]'
},
{
'direction': 'in',
'name': 'sizeOfTimestampBuffer',
'type': 'u32'
},
{
'direction': 'out',
'name': 'numPairsBuffer',
'size': {
'mechanism': 'passed-in',
'value': 'sizeOfNumPairsBuffer'
},
'type': 'u32[]'
},
{
'direction': 'in',
'name': 'sizeOfNumPairsBuffer',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'ReadState': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'ReadState',
'name': 'stateID',
'type': 'u32'
},
{
'direction': 'in',
'name': 'stateSize',
'type': 'u32'
},
{
'direction': 'out',
'enum': 'ReadStateValue',
'name': 'stateValue',
'size': {
'mechanism': 'passed-in',
'value': 'stateSize'
},
'type': 'void[]'
},
{
'direction': 'out',
'name': 'fault',
'type': 'nxStatus_t'
}
],
'returns': 'nxStatus_t'
},
'ReadStateTimeTrigger': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'TimeOut',
'name': 'timeout',
'type': 'f64'
},
{
'direction': 'in',
'name': 'stateSize',
'type': 'u32'
},
{
'direction': 'out',
'name': 'stateValue',
'size': {
'mechanism': 'passed-in',
'value': 'stateSize'
},
'type': 'void[]'
}
],
'returns': 'nxStatus_t'
},
'SetProperty': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'Properties',
'name': 'propertyID',
'type': 'u32'
},
{
'direction': 'in',
'name': 'propertySize',
'type': 'u32'
},
{
'direction': 'in',
'name': 'propertyValue',
'type': 'void[]'
}
],
'returns': 'nxStatus_t'
},
'SetSubProperty': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'activeIndex',
'type': 'u32'
},
{
'direction': 'in',
'enum': 'SubProperties',
'name': 'propertyID',
'type': 'u32'
},
{
'direction': 'in',
'name': 'propertySize',
'type': 'u32'
},
{
'direction': 'in',
'name': 'propertyValue',
'type': 'void[]'
}
],
'returns': 'nxStatus_t'
},
'Start': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'StartStopScope',
'name': 'scope',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'StatusToString': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'status',
'type': 'nxStatus_t'
},
{
'direction': 'in',
'name': 'sizeofString',
'type': 'u32'
},
{
'direction': 'out',
'name': 'statusDescription',
'size': {
'mechanism': 'fixed',
'value': 2048
},
'type': 'char[]'
}
],
'returns': 'void'
},
'Stop': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'StartStopScope',
'name': 'scope',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'SystemClose': {
'parameters': [
{
'direction': 'in',
'name': 'systemRef',
'type': 'nxSessionRef_t'
}
],
'returns': 'nxStatus_t'
},
'SystemOpen': {
'init_method': True,
'parameters': [
{
'direction': 'out',
'name': 'systemRef',
'type': 'nxSessionRef_t'
}
],
'returns': 'nxStatus_t'
},
'Wait': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'WaitCondition',
'name': 'condition',
'type': 'u32'
},
{
'direction': 'in',
'name': 'paramIn',
'type': 'u32'
},
{
'direction': 'in',
'name': 'timeout',
'type': 'f64'
},
{
'direction': 'out',
'name': 'paramOut',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'WriteFrame': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'buffer',
'size': {
'mechanism': 'len',
'value': 'numberOfBytesForFrames'
},
'type': 'void[]'
},
{
'direction': 'in',
'name': 'numberOfBytesForFrames',
'type': 'u32'
},
{
'direction': 'in',
'enum': 'TimeOut',
'name': 'timeout',
'type': 'f64'
}
],
'returns': 'nxStatus_t'
},
'WriteSignalSinglePoint': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'name': 'valueBuffer',
'size': {
'mechanism': 'len',
'value': 'sizeOfValueBuffer'
},
'type': 'f64[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'WriteSignalWaveform': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'TimeOut',
'name': 'timeout',
'type': 'f64'
},
{
'direction': 'in',
'name': 'valueBuffer',
'size': {
'mechanism': 'len',
'value': 'sizeOfValueBuffer'
},
'type': 'f64[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'WriteSignalXY': {
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'TimeOut',
'name': 'timeout',
'type': 'f64'
},
{
'direction': 'in',
'name': 'valueBuffer',
'size': {
'mechanism': 'len',
'value': 'sizeOfValueBuffer'
},
'type': 'f64[]'
},
{
'direction': 'in',
'name': 'sizeOfValueBuffer',
'type': 'u32'
},
{
'direction': 'in',
'name': 'timestampBuffer',
'size': {
'mechanism': 'len',
'value': 'sizeOfTimestampBuffer'
},
'type': 'nxTimestamp100ns_t[]'
},
{
'direction': 'in',
'name': 'sizeOfTimestampBuffer',
'type': 'u32'
},
{
'direction': 'in',
'name': 'numPairsBuffer',
'size': {
'mechanism': 'len',
'value': 'sizeOfNumPairsBuffer'
},
'type': 'u32[]'
},
{
'direction': 'in',
'name': 'sizeOfNumPairsBuffer',
'type': 'u32'
}
],
'returns': 'nxStatus_t'
},
'WriteState': {
'codegen_method': 'no',
'parameters': [
{
'direction': 'in',
'name': 'sessionRef',
'type': 'nxSessionRef_t'
},
{
'direction': 'in',
'enum': 'WriteState',
'name': 'stateID',
'type': 'u32'
},
{
'direction': 'in',
'name': 'stateSize',
'type': 'u32'
},
{
'direction': 'in',
'enum': 'ReadStateValue',
'name': 'stateValue',
'size': {
'mechanism': 'len',
'value': 'stateSize'
},
'type': 'void[]'
}
],
'returns': 'nxStatus_t'
}
} | 27.192333 | 53 | 0.310211 | 1,990 | 41,849 | 6.451256 | 0.098492 | 0.142234 | 0.155398 | 0.107104 | 0.820844 | 0.777068 | 0.739368 | 0.705873 | 0.690061 | 0.681025 | 0 | 0.012844 | 0.540467 | 41,849 | 1,539 | 54 | 27.192333 | 0.654724 | 0 | 0 | 0.588694 | 0 | 0 | 0.313524 | 0.01687 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.010396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
670da80a78a03f09f6ad68b210fece4a9a9531f7 | 29 | py | Python | dashtable/data2md/__init__.py | r-dgreen/DashTable | 744cfb6a717fa75a8092c83ebcd49b2668023681 | [
"MIT"
] | 35 | 2017-04-25T04:37:16.000Z | 2022-02-23T05:44:37.000Z | dashtable/data2md/__init__.py | r-dgreen/DashTable | 744cfb6a717fa75a8092c83ebcd49b2668023681 | [
"MIT"
] | 14 | 2016-12-11T12:00:48.000Z | 2021-06-13T06:52:09.000Z | dashtable/data2md/__init__.py | r-dgreen/DashTable | 744cfb6a717fa75a8092c83ebcd49b2668023681 | [
"MIT"
] | 11 | 2017-04-05T14:10:16.000Z | 2022-02-14T16:32:18.000Z | from .data2md import data2md
| 14.5 | 28 | 0.827586 | 4 | 29 | 6 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08 | 0.137931 | 29 | 1 | 29 | 29 | 0.88 | 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 |
675c2594e67cbdcb8dbe0d1e734e4e0860c81e0f | 3,274 | py | Python | msgraph/cli/command_modules/calendar/azext_calendar/generated/_client_factory.py | microsoftgraph/msgraph-cli-archived | 489f70bf4ede1ce67b84bfb31e66da3e4db76062 | [
"MIT"
] | null | null | null | msgraph/cli/command_modules/calendar/azext_calendar/generated/_client_factory.py | microsoftgraph/msgraph-cli-archived | 489f70bf4ede1ce67b84bfb31e66da3e4db76062 | [
"MIT"
] | 22 | 2022-03-29T22:54:37.000Z | 2022-03-29T22:55:27.000Z | msgraph/cli/command_modules/calendar/azext_calendar/generated/_client_factory.py | microsoftgraph/msgraph-cli-archived | 489f70bf4ede1ce67b84bfb31e66da3e4db76062 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
def cf_calendar_cl(cli_ctx, *_):
from azure.cli.core.commands.client_factory import get_mgmt_service_client
from azext_calendar.vendored_sdks.calendar import Calendar
return get_mgmt_service_client(cli_ctx,
Calendar,
subscription_bound=False,
base_url_bound=False)
def cf_group(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).groups
def cf_group_calendar(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).groups_calendar
def cf_group_calendar_calendar_view(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).groups_calendar_calendar_view
def cf_group_calendar_event(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).groups_calendar_events
def cf_group_calendar_view(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).groups_calendar_view
def cf_group_calendar_view_calendar(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).groups_calendar_view_calendar
def cf_group_event(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).groups_events
def cf_group_event_calendar(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).groups_events_calendar
def cf_place_place(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).places_place
def cf_user(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users
def cf_user_calendar(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendar
def cf_user_calendar_calendar_view(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendar_calendar_view
def cf_user_calendar_event(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendar_events
def cf_user_calendar_group(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendar_groups
def cf_user_calendar_group_calendar(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendar_groups_calendars
def cf_user_calendar_group_calendar_calendar_view(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendar_groups_calendars_calendar_view
def cf_user_calendar_group_calendar_event(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendar_groups_calendars_events
def cf_user_calendar(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendars
def cf_user_calendar_calendar_view(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendars_calendar_view
def cf_user_calendar_event(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendars_events
def cf_user_calendar_view(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendar_view
def cf_user_calendar_view_calendar(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_calendar_view_calendar
def cf_user_event(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_events
def cf_user_event_calendar(cli_ctx, *_):
return cf_calendar_cl(cli_ctx).users_events_calendar
| 28.469565 | 80 | 0.746182 | 471 | 3,274 | 4.636943 | 0.152866 | 0.137363 | 0.137363 | 0.171703 | 0.75641 | 0.721154 | 0.679487 | 0.666209 | 0.652473 | 0.615385 | 0 | 0 | 0.138363 | 3,274 | 114 | 81 | 28.719298 | 0.774194 | 0.134087 | 0 | 0.109091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.454545 | false | 0 | 0.036364 | 0.436364 | 0.945455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
6771df63df8f5e9178e9ad7249d9583336775439 | 115 | py | Python | app/aplikace/__init__.py | petrgru/flask-remenarna | 542f0729974ddd12a9560f7376f000fb9f3c70a3 | [
"MIT"
] | null | null | null | app/aplikace/__init__.py | petrgru/flask-remenarna | 542f0729974ddd12a9560f7376f000fb9f3c70a3 | [
"MIT"
] | null | null | null | app/aplikace/__init__.py | petrgru/flask-remenarna | 542f0729974ddd12a9560f7376f000fb9f3c70a3 | [
"MIT"
] | null | null | null | from flask import Blueprint
aplikace = Blueprint('aplikace', __name__, template_folder='templates')
import views
| 19.166667 | 71 | 0.8 | 13 | 115 | 6.692308 | 0.769231 | 0.390805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113043 | 115 | 5 | 72 | 23 | 0.852941 | 0 | 0 | 0 | 0 | 0 | 0.147826 | 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 |
67845c89695d6b2eb53a6f21abb2b95bd8f2e561 | 14,826 | py | Python | tests/test_income.py | HenriqueLin/CityWok-ManagementSystem | 23130ea45784a9d4dc85cefb445cc44193b66fc0 | [
"MIT"
] | null | null | null | tests/test_income.py | HenriqueLin/CityWok-ManagementSystem | 23130ea45784a9d4dc85cefb445cc44193b66fc0 | [
"MIT"
] | 238 | 2021-06-10T11:21:56.000Z | 2022-03-01T20:08:25.000Z | tests/test_income.py | HenriqueLin/CityWok-ManagementSystem | 23130ea45784a9d4dc85cefb445cc44193b66fc0 | [
"MIT"
] | 1 | 2021-06-12T15:40:08.000Z | 2021-06-12T15:40:08.000Z | from citywok_ms.file.models import IncomeFile, RevenueFile
from citywok_ms.expense.models import NonLaborExpense
from citywok_ms.income.models import Income, Revenue
import datetime
import html
import io
import os
import pytest
from wtforms.fields.simple import FileField, HiddenField, SubmitField
from citywok_ms import db
from flask import request, url_for
from citywok_ms.income.forms import IncomeForm, RevenueForm
@pytest.mark.role("admin")
def test_index_get(client, user, today):
response = client.get(url_for("income.index"), follow_redirects=True)
data = response.data.decode()
# state code
assert response.status_code == 200
assert request.url.endswith(url_for("income.index", date_str=today))
for txt in (
"Income",
"Total Income",
"Theoretical Revenue",
"Actual Revenue",
"Cash",
"Non-Cash",
"0.00€",
url_for("income.new_revenue", date_str=today),
url_for("income.new_other_income", date_str=today),
):
assert txt in data
@pytest.mark.role("admin")
def test_index_get_with_revenue(client, user, incomes, today):
response = client.get(url_for("income.index"), follow_redirects=True)
data = response.data.decode()
# state code
assert response.status_code == 200
assert request.url.endswith(url_for("income.index", date_str=today))
for txt in (
"Income",
"Total Income",
"Theoretical Revenue",
"Actual Revenue",
"Cash",
"Non-Cash",
"1000.00€",
"660.00€",
url_for("income.new_other_income", date_str=today),
"Small Expenditure",
):
assert txt in data
@pytest.mark.role("admin")
def test_index_post(client, user, yesterday, today):
response = client.post(
url_for("income.index", date_str=today),
data={"date": yesterday},
follow_redirects=True,
)
assert response.status_code == 200
assert request.url.endswith(url_for("income.index", date_str=yesterday))
@pytest.mark.role("admin")
def test_new_revenue_get(client, user, today):
response = client.get(url_for("income.new_revenue", date_str=today))
data = response.data.decode()
# state code
assert response.status_code == 200
assert request.url.endswith(url_for("income.new_revenue", date_str=today))
assert "New Revenue" in data
for field in RevenueForm()._fields.values():
if isinstance(field, (HiddenField, SubmitField)):
continue
assert field.id in data
assert "Add" in data
assert url_for("income.index") in data
@pytest.mark.role("admin")
def test_new_revenue_post_valid(client, user, supplier, image, today):
request_data = {
"date": today,
"t_revenue": 200,
"cash": 50,
"cards-0-total": 50,
"cards-0-actual": 2,
"cards-1-total": 0,
"cards-1-actual": 0,
"cards-2-total": 0,
"cards-2-actual": 0,
"files": (image, "test.jpg"),
}
response = client.post(
url_for("income.new_revenue"), data=request_data, follow_redirects=True
)
data = response.data.decode()
# state code
assert response.status_code == 200
# url after request
assert request.url.endswith(url_for("income.index", date_str=today))
# database data
assert db.session.query(Revenue).count() == 1
assert db.session.query(Income).count() == 2
assert db.session.query(NonLaborExpense).count() == 1
revenue = db.session.query(Revenue).first()
assert revenue.t_revenue == 200
assert revenue.date == today
# flash messege
assert "New revenue has been registed." in html.unescape(data)
@pytest.mark.role("admin")
def test_new_revenue_post_invalid(client, user, supplier, image, today, incomes):
request_data = {
"date": today,
"t_revenue": 0,
"cash": 0,
"cards-0-total": 1,
"cards-0-actual": 3,
"cards-1-total": 0,
"cards-1-actual": 0,
"cards-2-total": 0,
"cards-2-actual": 0,
}
response = client.post(
url_for("income.new_revenue"), data=request_data, follow_redirects=True
)
data = response.data.decode()
# state code
assert response.status_code == 200
# url after request
assert request.url.endswith(url_for("income.new_revenue"))
assert "Total value must be greater than actual." in html.unescape(data)
assert f'Revenue of "{today}" already existe.' in html.unescape(data)
# database data
assert db.session.query(Revenue).count() == 1
assert db.session.query(Income).count() == 3
assert db.session.query(NonLaborExpense).count() == 1
@pytest.mark.role("admin")
def test_new_other_income_get(client, user, today):
response = client.get(url_for("income.new_other_income", date_str=today))
data = response.data.decode()
# state code
assert response.status_code == 200
assert request.url.endswith(url_for("income.new_other_income", date_str=today))
assert "New Income" in data
for field in IncomeForm()._fields.values():
if isinstance(field, (HiddenField, SubmitField)):
continue
assert field.id in data
assert "Add" in data
assert url_for("income.index") in data
@pytest.mark.role("admin")
def test_new_other_income_post_valid(client, user, image, today):
request_data = {
"date": today,
"value-card": 5,
"value-cash": 5,
"value-transfer": 5,
"value-check": 5,
"files": (image, "test.jpg"),
}
response = client.post(
url_for("income.new_other_income"), data=request_data, follow_redirects=True
)
data = response.data.decode()
# state code
assert response.status_code == 200
# url after request
assert request.url.endswith(url_for("income.index", date_str=today))
# database data
assert db.session.query(Revenue).count() == 0
assert db.session.query(Income).count() == 1
income = db.session.query(Income).first()
assert income.cash == 5
assert income.check == 5
assert income.transfer == 5
assert income.card == 5
assert income.date == today
# flash messege
assert "New income has been registed." in html.unescape(data)
@pytest.mark.role("admin")
def test_new_other_income_post_invalid(client, user, today):
response = client.post(
url_for("income.new_other_income"), data={}, follow_redirects=True
)
data = response.data.decode()
# state code
assert response.status_code == 200
# url after request
assert request.url.endswith(url_for("income.new_other_income"))
# database data
assert db.session.query(Revenue).count() == 0
assert db.session.query(Income).count() == 0
# flash messege
assert "This field is required." in html.unescape(data)
assert "Total value must be greater than 0." in html.unescape(data)
@pytest.mark.role("admin")
@pytest.mark.parametrize("id", [1, 2, 3])
def test_detail_get(client, user, incomes, id):
response = client.get(url_for("income.detail", income_id=id))
data = response.data.decode()
# state code
assert response.status_code == 200
# titles
assert "Income Detail" in data
assert "Files" in data
# links
if db.session.query(Income).get(id).category == "other_income":
assert url_for("income.update_other_income", income_id=id) in data
assert url_for("income.delete", income_id=id) in data
assert url_for("income.upload", income_id=id) in data
assert "Deleted Files" in data
assert "These files will be permanente removed 30 days after being deleted" in data
@pytest.mark.role("admin")
@pytest.mark.parametrize("id", [1, 2, 3])
def test_update_other_income_get(client, user, today, incomes, id):
response = client.get(
url_for("income.update_other_income", income_id=id), follow_redirects=True
)
data = response.data.decode()
# state code
assert response.status_code == 200
if db.session.query(Income).get(id).category == "other_income":
assert request.url.endswith(url_for("income.update_other_income", income_id=id))
assert "Update Income" in data
for field in IncomeForm()._fields.values():
if isinstance(field, (HiddenField, SubmitField, FileField)):
continue
assert field.id in data
assert "Update" in data
assert url_for("income.index") in data
else:
assert request.url.endswith(url_for("income.detail", income_id=id))
assert "This income can not be updated." in html.unescape(data)
@pytest.mark.role("admin")
@pytest.mark.parametrize("id", [1, 2, 3])
def test_update_other_income_post_valid(client, user, today, id, incomes):
request_data = {
"date": today,
"value-card": 1,
"value-cash": 1,
"value-transfer": 1,
"value-check": 1,
}
response = client.post(
url_for("income.update_other_income", income_id=id),
data=request_data,
follow_redirects=True,
)
data = response.data.decode()
# state code
assert response.status_code == 200
# url after request
assert request.url.endswith(url_for("income.detail", income_id=id))
if db.session.query(Income).get(id).category == "other_income":
# database data
income = db.session.query(Income).get(id)
assert income.cash == 1
assert income.check == 1
assert income.transfer == 1
assert income.card == 1
assert income.date == today
# flash messege
assert "Income has been updated." in html.unescape(data)
else:
assert "This income can not be updated." in html.unescape(data)
@pytest.mark.role("admin")
def test_update_other_income_post_invalid(client, user, today, incomes):
response = client.post(
url_for("income.update_other_income", income_id=3),
data={},
follow_redirects=True,
)
data = response.data.decode()
# state code
assert response.status_code == 200
# url after request
assert request.url.endswith(url_for("income.update_other_income", income_id=3))
# flash messege
assert "This field is required." in html.unescape(data)
assert "Total value must be greater than 0." in html.unescape(data)
@pytest.mark.role("admin")
@pytest.mark.parametrize("id", [1, 2, 3])
def test_delete_post_valid(client, user, today, id, incomes):
category = db.session.query(Income).get(id).category
response = client.post(
url_for("income.delete", income_id=id),
follow_redirects=True,
)
data = response.data.decode()
# state code
assert response.status_code == 200
# url after request
if category == "other_income":
# database data
assert db.session.query(Income).get(id) is None
# flash messege
assert "Income has been deleted." in html.unescape(data)
assert request.url.endswith(url_for("income.index", date_str=today))
else:
assert request.url.endswith(url_for("income.detail", income_id=id))
assert "This income can not be deleted." in html.unescape(data)
@pytest.mark.role("admin")
def test_upload_post_valid(client, user, incomes, image):
request_data = {
"file": (image, "test.jpg"),
}
response = client.post(
url_for("income.upload", income_id=1),
data=request_data,
content_type="multipart/form-data",
follow_redirects=True,
)
data = response.data.decode()
assert response.status_code == 200
assert request.url.endswith(url_for("income.detail", income_id=1))
assert 'File "test.jpg" has been uploaded.' in html.unescape(data)
assert db.session.query(IncomeFile).count() == 1
f = db.session.query(IncomeFile).get(1)
assert f.full_name == "test.jpg"
assert os.path.isfile(f.path)
@pytest.mark.role("admin")
def test_upload_post_invalid_format(client, user, incomes):
request_data = {
"file": (io.BytesIO(b"test"), "test.exe"),
}
response = client.post(
url_for("income.upload", income_id=1),
data=request_data,
content_type="multipart/form-data",
follow_redirects=True,
)
data = response.data.decode()
assert response.status_code == 200
assert request.url.endswith(url_for("income.detail", income_id=1))
assert 'Invalid file format ".exe".' in html.unescape(data)
@pytest.mark.role("admin")
def test_upload_post_invalid_empty(client, user, incomes):
response = client.post(
url_for("income.upload", income_id=1),
data={},
content_type="multipart/form-data",
follow_redirects=True,
)
data = response.data.decode()
assert response.status_code == 200
assert request.url.endswith(url_for("income.detail", income_id=1))
assert "No file has been uploaded." in html.unescape(data)
@pytest.mark.role("admin")
def test_revenue_upload_post_valid(client, user, incomes, image, today):
request_data = {
"file": (image, "test.jpg"),
}
response = client.post(
url_for("income.revenue_upload", date_str=today),
data=request_data,
content_type="multipart/form-data",
follow_redirects=True,
)
data = response.data.decode()
assert response.status_code == 200
assert request.url.endswith(url_for("income.index", date_str=today))
assert 'File "test.jpg" has been uploaded.' in html.unescape(data)
assert db.session.query(RevenueFile).count() == 1
f = db.session.query(RevenueFile).get(1)
assert f.full_name == "test.jpg"
assert os.path.isfile(f.path)
@pytest.mark.role("admin")
def test_revenue_upload_post_invalid_format(client, user, incomes, today):
request_data = {
"file": (io.BytesIO(b"test"), "test.exe"),
}
response = client.post(
url_for("income.revenue_upload", date_str=today),
data=request_data,
content_type="multipart/form-data",
follow_redirects=True,
)
data = response.data.decode()
assert response.status_code == 200
assert request.url.endswith(url_for("income.index", date_str=today))
assert 'Invalid file format ".exe".' in html.unescape(data)
@pytest.mark.role("admin")
def test_revenue_upload_post_invalid_empty(client, user, incomes, today):
response = client.post(
url_for("income.revenue_upload", date_str=today),
data={},
content_type="multipart/form-data",
follow_redirects=True,
)
data = response.data.decode()
assert response.status_code == 200
assert request.url.endswith(url_for("income.index", date_str=today))
assert "No file has been uploaded." in html.unescape(data)
| 31.679487 | 88 | 0.65918 | 1,969 | 14,826 | 4.823768 | 0.080244 | 0.032217 | 0.063171 | 0.053064 | 0.8765 | 0.853969 | 0.81196 | 0.74542 | 0.721204 | 0.690251 | 0 | 0.013972 | 0.213139 | 14,826 | 467 | 89 | 31.747323 | 0.799931 | 0.030285 | 0 | 0.608451 | 0 | 0 | 0.165598 | 0.026496 | 0 | 0 | 0 | 0 | 0.309859 | 1 | 0.056338 | false | 0 | 0.033803 | 0 | 0.090141 | 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 |
db097c52243000d5450751b0316cbcfd8b4206de | 5,573 | py | Python | functional_tests/test_edit_and_delete_music_score.py | loictessier/weborchestra | 80a7d8e3d94b84df65e8ecc52ea8b5cd200204e0 | [
"MIT"
] | null | null | null | functional_tests/test_edit_and_delete_music_score.py | loictessier/weborchestra | 80a7d8e3d94b84df65e8ecc52ea8b5cd200204e0 | [
"MIT"
] | 4 | 2020-12-15T11:13:59.000Z | 2021-06-10T20:28:54.000Z | functional_tests/test_edit_and_delete_music_score.py | loictessier/weborchestra | 80a7d8e3d94b84df65e8ecc52ea8b5cd200204e0 | [
"MIT"
] | null | null | null | from selenium.webdriver.common.keys import Keys
from .base import FunctionalTest
class ExistingMusicScoreTest(FunctionalTest):
def test_can_delete_basic_music_score(self):
# Edith is connected to her activated account as
# a music library moderator
test_email = 'edith.usertest@yahoo.com'
test_password = 'Python4521'
self.create_pre_authenticated_session(
test_email,
test_password,
roles=[2]
)
# She wants to delete a music score she previously created
music_score_name = 'T-Bones In Swing'
music_score_author = 'George Gershwin'
music_score_editor = 'Molenaar Edition'
self.create_basic_music_score(
music_score_name,
music_score_author,
music_score_editor
)
# Edith checks out home page and sees she is logged in
self.browser.get(self.live_server_url)
self.wait_to_be_logged_in(test_email)
# She clicks on the music library link and
# she is redirected to the music library pages
self.browser.find_element_by_link_text('Partothèque'.upper()).click()
self.wait_for(lambda: self.assertEqual(
self.browser.find_element_by_tag_name('h1').text,
"Partothèque".upper()
))
# She sees that her previously created music score appears on the page
music_score = (
self.browser.find_elements_by_class_name('music_score')[0]
)
score_name = (
music_score.find_elements_by_class_name('score_name')[0]
)
self.assertEqual(score_name.text, f'{music_score_name}')
score_author = (
music_score.find_elements_by_class_name('score_author')[0]
)
self.assertEqual(score_author.text, f'{music_score_author}')
# She click on the delete button of the music score
music_score.find_element_by_class_name('delete_score').click()
# The page reload and the music score no longer appear
self.wait_for(lambda: self.assertEqual(
self.browser.find_element_by_tag_name('h1').text,
"Partothèque".upper()
))
self.wait_for(lambda: self.assertEqual(
len(self.browser.find_elements_by_class_name('music_score')),
0
))
def test_can_modify_basic_music_score(self):
# Edith is connected to her activated account as
# a music library moderator
test_email = 'edith.usertest@yahoo.com'
test_password = 'Python4521'
self.create_pre_authenticated_session(
test_email,
test_password,
roles=[2]
)
# She wants to modify a music score she previously created
music_score_name = 'T-Bones In S'
music_score_author = 'Gershwin'
music_score_editor = 'Molenaar Edition'
self.create_basic_music_score(
music_score_name,
music_score_author,
music_score_editor
)
# Edith checks out home page and sees she is logged in
self.browser.get(self.live_server_url)
self.wait_to_be_logged_in(test_email)
# She clicks on the music library link and
# she is redirected to the music library pages
self.browser.find_element_by_link_text('Partothèque'.upper()).click()
self.wait_for(lambda: self.assertEqual(
self.browser.find_element_by_tag_name('h1').text,
"Partothèque".upper()
))
# She sees that her previously created music score appears on the page
music_score = (
self.browser.find_elements_by_class_name('music_score')[0]
)
score_name = (
music_score.find_elements_by_class_name('score_name')[0]
)
self.assertEqual(score_name.text, f'{music_score_name}')
score_author = (
music_score.find_elements_by_class_name('score_author')[0]
)
self.assertEqual(score_author.text, f'{music_score_author}')
# She click on the edit button of the music score
music_score.find_element_by_class_name('edit_score').click()
# She is redirected to a form where she can modify
# the name, author and editor of the score
self.wait_for(lambda: self.assertEqual(
self.browser.find_element_by_tag_name('h1').text,
'Modifier une partition'.upper()
))
inputbox_name = self.browser.find_element_by_id('id_name')
self.wait_for(lambda: self.assertEqual(
inputbox_name.get_attribute('value'),
music_score_name
))
inputbox_author = self.browser.find_element_by_id('id_author')
self.wait_for(lambda: self.assertEqual(
inputbox_author.get_attribute('value'),
music_score_author
))
# She modify the name and author and hit enter
music_score_name = 'T-Bones In Swing'
music_score_author = 'George Gershwin'
inputbox_name.clear()
inputbox_name.send_keys(music_score_name)
inputbox_author.clear()
inputbox_author.send_keys(music_score_author)
inputbox_name.send_keys(Keys.ENTER)
# She is then redirected to the page of the music score
# she just modified with the new name and author
self.wait_for(lambda: self.assertEqual(
self.browser.find_element_by_tag_name('h1').text,
f'{music_score_name} - {music_score_author}'.upper()
))
| 37.655405 | 78 | 0.64346 | 704 | 5,573 | 4.794034 | 0.171875 | 0.139259 | 0.053333 | 0.058667 | 0.819259 | 0.789333 | 0.770963 | 0.727111 | 0.727111 | 0.727111 | 0 | 0.005467 | 0.277947 | 5,573 | 147 | 79 | 37.911565 | 0.833251 | 0.190562 | 0 | 0.679245 | 0 | 0 | 0.113859 | 0.010695 | 0 | 0 | 0 | 0 | 0.113208 | 1 | 0.018868 | false | 0.037736 | 0.018868 | 0 | 0.04717 | 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 |
c02048790bdcc79c365d23bbf2b8933b8ef39f8a | 221 | py | Python | timm/loss/__init__.py | chilung/dvit_repo | e2d51717c131048b860b5dfa61b85f2a9d3438db | [
"MIT"
] | 90 | 2021-03-28T17:33:03.000Z | 2022-03-26T01:44:20.000Z | timm/loss/__init__.py | chilung/dvit_repo | e2d51717c131048b860b5dfa61b85f2a9d3438db | [
"MIT"
] | 7 | 2021-03-30T10:57:59.000Z | 2021-12-19T13:40:12.000Z | timm/loss/__init__.py | chilung/dvit_repo | e2d51717c131048b860b5dfa61b85f2a9d3438db | [
"MIT"
] | 19 | 2021-04-09T06:27:50.000Z | 2022-02-11T14:24:25.000Z | from .cross_entropy import LabelSmoothingCrossEntropy, SoftTargetCrossEntropy, SoftTargetCrossEntropyCosReg
from .jsd import JsdCrossEntropy
from .asymmetric_loss import AsymmetricLossMultiLabel, AsymmetricLossSingleLabel | 73.666667 | 107 | 0.909502 | 17 | 221 | 11.705882 | 0.764706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063348 | 221 | 3 | 108 | 73.666667 | 0.961353 | 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 |
c029be0457612e98a560ff58c414be26772346d3 | 69 | py | Python | babylog/cli.py | pawelnalezyty/babylog | 1c06be7e72171f0283d15fb6b9ef95524b3f3d73 | [
"Apache-2.0"
] | null | null | null | babylog/cli.py | pawelnalezyty/babylog | 1c06be7e72171f0283d15fb6b9ef95524b3f3d73 | [
"Apache-2.0"
] | null | null | null | babylog/cli.py | pawelnalezyty/babylog | 1c06be7e72171f0283d15fb6b9ef95524b3f3d73 | [
"Apache-2.0"
] | null | null | null | def main():
print('One day, this will be a great Prolog system!') | 34.5 | 57 | 0.666667 | 12 | 69 | 3.833333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.202899 | 69 | 2 | 57 | 34.5 | 0.836364 | 0 | 0 | 0 | 0 | 0 | 0.628571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
fbe871abb325c319543bed88f9a035bcc1eb8d83 | 30 | py | Python | src/reunion/__init__.py | sijis/reunion | e4d2f9e7ec4482b92a2d5006eead318aa81496f1 | [
"Apache-2.0"
] | null | null | null | src/reunion/__init__.py | sijis/reunion | e4d2f9e7ec4482b92a2d5006eead318aa81496f1 | [
"Apache-2.0"
] | null | null | null | src/reunion/__init__.py | sijis/reunion | e4d2f9e7ec4482b92a2d5006eead318aa81496f1 | [
"Apache-2.0"
] | null | null | null |
from .meeting import Meeting
| 10 | 28 | 0.8 | 4 | 30 | 6 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 30 | 2 | 29 | 15 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
220f77150f6658650238204b6eedab2df901455f | 4,400 | py | Python | tests/snappy_wrappers/tools/test_quickvenn.py | PotatoThrone/snappy-pipeline | 31200eba84bff8e459e9e210d6d95e2984627f5c | [
"MIT"
] | 5 | 2021-02-26T10:39:56.000Z | 2021-12-23T07:53:26.000Z | tests/snappy_wrappers/tools/test_quickvenn.py | PotatoThrone/snappy-pipeline | 31200eba84bff8e459e9e210d6d95e2984627f5c | [
"MIT"
] | 93 | 2021-02-22T11:23:59.000Z | 2022-03-31T09:58:39.000Z | tests/snappy_wrappers/tools/test_quickvenn.py | PotatoThrone/snappy-pipeline | 31200eba84bff8e459e9e210d6d95e2984627f5c | [
"MIT"
] | 3 | 2021-02-22T11:44:59.000Z | 2021-06-21T19:33:53.000Z | # -*- coding: utf-8 -*-
"""Tests for ``snappy_wrappers.tools.quickvenn``"""
import os
import tempfile
import textwrap
import pytest
from snappy_wrappers.tools import quickvenn
@pytest.fixture
def one_set_fake_fs(fake_fs):
"""Return fake file system setup with files with an FAI file"""
# Create fake bedtools intersect -wao output
fcontents = textwrap.dedent(
"""
A\tlabel
"""
).lstrip()
fake_fs.fs.create_file("/work/set.txt", create_missing_dirs=True, contents=fcontents)
return fake_fs
def test_quickvenn_one_set(one_set_fake_fs, mocker):
mocker.patch("argparse.open", one_set_fake_fs.open, create=True)
mocker.patch("argparse._os", one_set_fake_fs.os)
with tempfile.TemporaryDirectory() as tmpdirname:
output_path = os.path.join(tmpdirname, "output.png")
quickvenn.main(["--input-shared-counts", "/work/set.txt", "--output-image", output_path])
assert os.path.exists(output_path)
@pytest.fixture
def two_sets_fake_fs(fake_fs):
"""Return fake file system setup with files with an FAI file"""
# Create fake bedtools intersect -wao output
fcontents = textwrap.dedent(
"""
A\tlabel
B\tlabel
A\tB\tlabel
"""
).lstrip()
fake_fs.fs.create_file("/work/set.txt", create_missing_dirs=True, contents=fcontents)
return fake_fs
def test_quickvenn_two_sets(two_sets_fake_fs, mocker):
mocker.patch("argparse.open", two_sets_fake_fs.open, create=True)
mocker.patch("argparse._os", two_sets_fake_fs.os)
with tempfile.TemporaryDirectory() as tmpdirname:
output_path = os.path.join(tmpdirname, "output.png")
quickvenn.main(["--input-shared-counts", "/work/set.txt", "--output-image", output_path])
assert os.path.exists(output_path)
@pytest.fixture
def three_sets_fake_fs(fake_fs):
"""Return fake file system setup with files with an FAI file"""
# Create fake bedtools intersect -wao output
fcontents = textwrap.dedent(
"""
A\tlabel
B\tlabel
A\tB\tlabel
C\tlabel
"""
).lstrip()
fake_fs.fs.create_file("/work/set.txt", create_missing_dirs=True, contents=fcontents)
return fake_fs
def test_quickvenn_three_sets(three_sets_fake_fs, mocker):
mocker.patch("argparse.open", three_sets_fake_fs.open, create=True)
mocker.patch("argparse._os", three_sets_fake_fs.os)
with tempfile.TemporaryDirectory() as tmpdirname:
output_path = os.path.join(tmpdirname, "output.png")
quickvenn.main(["--input-shared-counts", "/work/set.txt", "--output-image", output_path])
assert os.path.exists(output_path)
@pytest.fixture
def four_sets_fake_fs(fake_fs):
"""Return fake file system setup with files with an FAI file"""
# Create fake bedtools intersect -wao output
fcontents = textwrap.dedent(
"""
A\tlabel
B\tlabel
A\tB\tlabel
C\tlabel
D\tlabel
C\tD\tlabel
"""
).lstrip()
fake_fs.fs.create_file("/work/set.txt", create_missing_dirs=True, contents=fcontents)
return fake_fs
def test_quickvenn_four_sets(four_sets_fake_fs, mocker):
mocker.patch("argparse.open", four_sets_fake_fs.open, create=True)
mocker.patch("argparse._os", four_sets_fake_fs.os)
with tempfile.TemporaryDirectory() as tmpdirname:
output_path = os.path.join(tmpdirname, "output.png")
quickvenn.main(["--input-shared-counts", "/work/set.txt", "--output-image", output_path])
assert os.path.exists(output_path)
@pytest.fixture
def five_sets_fake_fs(fake_fs):
"""Return fake file system setup with files with an FAI file"""
# Create fake bedtools intersect -wao output
fcontents = textwrap.dedent(
"""
A\tlabel
B\tlabel
A\tB\tlabel
C\tlabel
D\tlabel
C\tD\tlabel
E\tlabel
"""
).lstrip()
fake_fs.fs.create_file("/work/set.txt", create_missing_dirs=True, contents=fcontents)
return fake_fs
def test_quickvenn_five_sets(five_sets_fake_fs, mocker):
mocker.patch("argparse.open", five_sets_fake_fs.open, create=True)
mocker.patch("argparse._os", five_sets_fake_fs.os)
with tempfile.TemporaryDirectory() as tmpdirname:
output_path = os.path.join(tmpdirname, "output.png")
quickvenn.main(["--input-shared-counts", "/work/set.txt", "--output-image", output_path])
assert os.path.exists(output_path)
| 28.947368 | 97 | 0.692727 | 611 | 4,400 | 4.780687 | 0.121113 | 0.071893 | 0.054776 | 0.020541 | 0.905854 | 0.905854 | 0.905854 | 0.893872 | 0.840466 | 0.826429 | 0 | 0.000277 | 0.180227 | 4,400 | 151 | 98 | 29.139073 | 0.809537 | 0.130227 | 0 | 0.642857 | 0 | 0 | 0.139332 | 0.030479 | 0 | 0 | 0 | 0 | 0.071429 | 1 | 0.142857 | false | 0 | 0.071429 | 0 | 0.285714 | 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 |
22165a78bd02d935f8412339a65014b17434bcb7 | 60 | py | Python | biofit_models/exp_growth/basal/models.py | ristojm/Biofit | 04493e1e058fcbfaf9817da9f6ed01b821437fa4 | [
"CC0-1.0"
] | null | null | null | biofit_models/exp_growth/basal/models.py | ristojm/Biofit | 04493e1e058fcbfaf9817da9f6ed01b821437fa4 | [
"CC0-1.0"
] | null | null | null | biofit_models/exp_growth/basal/models.py | ristojm/Biofit | 04493e1e058fcbfaf9817da9f6ed01b821437fa4 | [
"CC0-1.0"
] | null | null | null | def invmonod(S,mumax,Ks,a):
return a+((Ks*S)/(mumax-S))
| 20 | 31 | 0.6 | 12 | 60 | 3 | 0.583333 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 60 | 2 | 32 | 30 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
97e139d8638ae34aeff61f2069306e18ee12e419 | 28 | py | Python | smtpd/src/plugins/directory_example/test_module.py | robcza/sarlacc | 63f26e77163330ecbce280a08d8663fff8b5f03f | [
"MIT"
] | 53 | 2018-02-10T08:59:41.000Z | 2021-04-04T16:05:20.000Z | smtpd/src/plugins/directory_example/test_module.py | robcza/sarlacc | 63f26e77163330ecbce280a08d8663fff8b5f03f | [
"MIT"
] | 5 | 2018-02-26T19:32:59.000Z | 2019-06-30T22:29:58.000Z | smtpd/src/plugins/directory_example/test_module.py | robcza/sarlacc | 63f26e77163330ecbce280a08d8663fff8b5f03f | [
"MIT"
] | 13 | 2018-02-11T09:19:16.000Z | 2020-07-24T07:33:26.000Z | print("Test module loaded")
| 14 | 27 | 0.75 | 4 | 28 | 5.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 28 | 1 | 28 | 28 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0.642857 | 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 |
97f470a8bb936318bc9ec6b6b15f867dac864295 | 194 | py | Python | rx/__init__.py | rlugojr/RxPy | 9f9b1de0ab833e53b0d1626a3b43a6c9424f01ec | [
"ECL-2.0",
"Apache-2.0"
] | 78 | 2015-01-22T23:57:01.000Z | 2021-06-04T15:16:22.000Z | rx/__init__.py | rlugojr/RxPy | 9f9b1de0ab833e53b0d1626a3b43a6c9424f01ec | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2015-10-19T12:59:57.000Z | 2015-10-19T12:59:57.000Z | rx/__init__.py | rlugojr/RxPy | 9f9b1de0ab833e53b0d1626a3b43a6c9424f01ec | [
"ECL-2.0",
"Apache-2.0"
] | 11 | 2015-02-16T20:43:45.000Z | 2018-05-30T11:46:50.000Z | #from . import observable
from .observable import Observable
from .anonymousobservable import AnonymousObservable
from .observer import Observer
from . import checkedobserver
from . import linq | 27.714286 | 52 | 0.840206 | 21 | 194 | 7.761905 | 0.333333 | 0.184049 | 0.245399 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123711 | 194 | 7 | 53 | 27.714286 | 0.958824 | 0.123711 | 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 |
3f48ab5c9bf50025b91ca6c255b904219c6f799a | 329 | py | Python | developers_chamber/bin/pydev.py | radimsuckr/developers-chamber | b29306a33c59473184206ad9f5354313f032a6c3 | [
"MIT"
] | null | null | null | developers_chamber/bin/pydev.py | radimsuckr/developers-chamber | b29306a33c59473184206ad9f5354313f032a6c3 | [
"MIT"
] | null | null | null | developers_chamber/bin/pydev.py | radimsuckr/developers-chamber | b29306a33c59473184206ad9f5354313f032a6c3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from dotenv import load_dotenv
load_dotenv(dotenv_path='./config/pydev.conf')
from developers_chamber.scripts import cli
from developers_chamber.scripts.bitbucket import *
from developers_chamber.scripts.git import *
from developers_chamber.scripts.version import *
if __name__ == '__main__':
cli()
| 23.5 | 50 | 0.796353 | 44 | 329 | 5.613636 | 0.5 | 0.226721 | 0.340081 | 0.453441 | 0.275304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.109422 | 329 | 13 | 51 | 25.307692 | 0.843003 | 0.06079 | 0 | 0 | 0 | 0 | 0.087662 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.625 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
58b4f20cae8d76a3efc9d09bfd1a1a99801a5bfc | 67 | py | Python | src/twitter_analyzer/data/__init__.py | OthSay/project_x | 73c50849a7a23aa7eab7e7b91c5881e2de579212 | [
"MIT"
] | 26 | 2020-03-21T20:58:08.000Z | 2022-03-28T03:44:44.000Z | src/twitter_analyzer/data/__init__.py | OthSay/project_x | 73c50849a7a23aa7eab7e7b91c5881e2de579212 | [
"MIT"
] | 9 | 2020-11-13T18:41:44.000Z | 2022-02-10T01:58:28.000Z | src/twitter_analyzer/data/__init__.py | OthSay/project_x | 73c50849a7a23aa7eab7e7b91c5881e2de579212 | [
"MIT"
] | 4 | 2020-03-29T15:50:00.000Z | 2021-02-17T20:45:36.000Z | from .multilabel_processor import MultiLabelClassificationProcessor | 67 | 67 | 0.940299 | 5 | 67 | 12.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044776 | 67 | 1 | 67 | 67 | 0.96875 | 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 |
58c56b0ea8a6e79f7af7b24a81a01b8bd77e0f05 | 18 | py | Python | indico_chat_bot/__init__.py | NRodriguezcuellar/indico-chat-bot | 31ab1af713d9052aa90b551c23fff9c2a1942cc7 | [
"MIT"
] | 2 | 2017-11-08T01:47:59.000Z | 2017-12-09T20:17:59.000Z | indico_chat_bot/__init__.py | NRodriguezcuellar/indico-chat-bot | 31ab1af713d9052aa90b551c23fff9c2a1942cc7 | [
"MIT"
] | 9 | 2018-04-17T19:47:31.000Z | 2019-05-25T21:56:28.000Z | indico_chat_bot/__init__.py | NRodriguezcuellar/indico-chat-bot | 31ab1af713d9052aa90b551c23fff9c2a1942cc7 | [
"MIT"
] | 5 | 2017-07-19T20:19:36.000Z | 2017-12-10T19:01:05.000Z | from . import bot
| 9 | 17 | 0.722222 | 3 | 18 | 4.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 18 | 1 | 18 | 18 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 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 |
58dd5ec9760e155912768901c8d7801f1b2e685e | 14,685 | py | Python | tests/test_wow_classic_game_data_api.py | trevorphillipscoding/python-blizzardapi | e98e1ee38f4b336bc99baa668691c842a090109c | [
"MIT"
] | 10 | 2020-12-03T14:23:56.000Z | 2022-02-01T10:48:42.000Z | tests/test_wow_classic_game_data_api.py | trevorphillipscoding/python-blizzardapi | e98e1ee38f4b336bc99baa668691c842a090109c | [
"MIT"
] | 65 | 2020-12-24T02:09:56.000Z | 2022-03-28T20:09:01.000Z | tests/test_wow_classic_game_data_api.py | trevorphillips/python-blizzardapi | 92921abd44dbf684ff8b8c06c8dc74539d2e4721 | [
"MIT"
] | 6 | 2021-06-24T17:37:55.000Z | 2022-02-17T20:36:23.000Z | from blizzardapi import BlizzardApi
class TestWowClassicGameDataApi:
def setup(self):
self.api = BlizzardApi("client_id", "client_secret")
self.api.wow.game_data._access_token = "access_token"
# Connected Realm API
def test_get_connected_realms_index(self, success_response_mock):
self.api.wow.game_data.get_connected_realms_index(
"us", "en_US", is_classic=True
)
params = {
"namespace": "dynamic-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/connected-realm/index",
params=params,
)
def test_get_connected_realm(self, success_response_mock):
self.api.wow.game_data.get_connected_realm("us", "en_US", 1, is_classic=True)
params = {
"namespace": "dynamic-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/connected-realm/1",
params=params,
)
# Creature API
def test_get_creature_families_index(self, success_response_mock):
self.api.wow.game_data.get_creature_families_index(
"us", "en_US", is_classic=True
)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/creature-family/index",
params=params,
)
def test_get_creature_family(self, success_response_mock):
self.api.wow.game_data.get_creature_family("us", "en_US", 1, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/creature-family/1",
params=params,
)
def test_get_creature_types_index(self, success_response_mock):
self.api.wow.game_data.get_creature_types_index("us", "en_US", is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/creature-type/index",
params=params,
)
def test_get_creature_type(self, success_response_mock):
self.api.wow.game_data.get_creature_type("us", "en_US", 1, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/creature-type/1",
params=params,
)
def test_get_creature(self, success_response_mock):
self.api.wow.game_data.get_creature("us", "en_US", 1, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/creature/1", params=params
)
def test_get_creature_display_media(self, success_response_mock):
self.api.wow.game_data.get_creature_display_media(
"us", "en_US", 1, is_classic=True
)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/media/creature-display/1",
params=params,
)
def test_get_creature_family_media(self, success_response_mock):
self.api.wow.game_data.get_creature_family_media(
"us", "en_US", 1, is_classic=True
)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/media/creature-family/1",
params=params,
)
# Guild Crest API
def test_get_guild_crest_components_index(self, success_response_mock):
self.api.wow.game_data.get_guild_crest_components_index(
"us", "en_US", is_classic=True
)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/guild-crest/index",
params=params,
)
def test_get_guild_crest_border_media(self, success_response_mock):
self.api.wow.game_data.get_guild_crest_border_media(
"us", "en_US", 0, is_classic=True
)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/media/guild-crest/border/0",
params=params,
)
def test_get_guild_crest_emblem_media(self, success_response_mock):
self.api.wow.game_data.get_guild_crest_emblem_media(
"us", "en_US", 0, is_classic=True
)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/media/guild-crest/emblem/0",
params=params,
)
# Item API
def test_get_item_classes_index(self, success_response_mock):
self.api.wow.game_data.get_item_classes_index("us", "en_US", is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/item-class/index",
params=params,
)
def test_get_item_class(self, success_response_mock):
self.api.wow.game_data.get_item_class("us", "en_US", 2, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/item-class/2", params=params
)
def test_get_item_sets_index(self, success_response_mock):
self.api.wow.game_data.get_item_sets_index("us", "en_US", is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/item-set/index",
params=params,
)
def test_get_item_set(self, success_response_mock):
self.api.wow.game_data.get_item_set("us", "en_US", 1, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/item-set/1", params=params
)
def test_get_item_subclass(self, success_response_mock):
self.api.wow.game_data.get_item_subclass("us", "en_US", 2, 1, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/item-class/2/item-subclass/1",
params=params,
)
def test_get_item(self, success_response_mock):
self.api.wow.game_data.get_item("us", "en_US", 9999, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/item/9999", params=params
)
def test_get_item_media(self, success_response_mock):
self.api.wow.game_data.get_item_media("us", "en_US", 9999, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/media/item/9999",
params=params,
)
# Playable Class API
def test_get_playable_classes_index(self, success_response_mock):
self.api.wow.game_data.get_playable_classes_index(
"us", "en_US", is_classic=True
)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/playable-class/index",
params=params,
)
def test_get_playable_class(self, success_response_mock):
self.api.wow.game_data.get_playable_class("us", "en_US", 7, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/playable-class/7",
params=params,
)
def test_get_playable_class_media(self, success_response_mock):
self.api.wow.game_data.get_playable_class_media(
"us", "en_US", 7, is_classic=True
)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/media/playable-class/7",
params=params,
)
# Playable Race API
def test_get_playable_races_index(self, success_response_mock):
self.api.wow.game_data.get_playable_races_index("us", "en_US", is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/playable-race/index",
params=params,
)
def test_get_playable_race(self, success_response_mock):
self.api.wow.game_data.get_playable_race("us", "en_US", 2, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/playable-race/2",
params=params,
)
# Power Type API
def test_get_power_types_index(self, success_response_mock):
self.api.wow.game_data.get_power_types_index("us", "en_US", is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/power-type/index",
params=params,
)
def test_get_power_type(self, success_response_mock):
self.api.wow.game_data.get_power_type("us", "en_US", 0, is_classic=True)
params = {
"namespace": "static-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/power-type/0", params=params
)
# Realm API
def test_get_realms_index(self, success_response_mock):
self.api.wow.game_data.get_realms_index("us", "en_US", is_classic=True)
params = {
"namespace": "dynamic-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/realm/index", params=params
)
def test_get_realm(self, success_response_mock):
self.api.wow.game_data.get_realm("us", "en_US", "tichondrius", is_classic=True)
params = {
"namespace": "dynamic-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/realm/tichondrius",
params=params,
)
# Region API
def test_get_regions_index(self, success_response_mock):
self.api.wow.game_data.get_regions_index("us", "en_US", is_classic=True)
params = {
"namespace": "dynamic-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/region/index", params=params
)
def test_get_region(self, success_response_mock):
self.api.wow.game_data.get_region("us", "en_US", 1, is_classic=True)
params = {
"namespace": "dynamic-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/region/1", params=params
)
# Wow Token API
def test_get_tokens_index(self, success_response_mock):
self.api.wow.game_data.get_token_index("us", "en_US", is_classic=True)
params = {
"namespace": "dynamic-classic-us",
"locale": "en_US",
"access_token": "access_token",
}
success_response_mock.assert_called_with(
"https://us.api.blizzard.com/data/wow/token/index", params=params
)
| 35.904645 | 87 | 0.592577 | 1,743 | 14,685 | 4.67183 | 0.041308 | 0.086455 | 0.144664 | 0.055017 | 0.917844 | 0.892546 | 0.88223 | 0.811986 | 0.811986 | 0.811986 | 0 | 0.004727 | 0.279741 | 14,685 | 408 | 88 | 35.992647 | 0.765151 | 0.009806 | 0 | 0.521127 | 0 | 0.016901 | 0.263317 | 0 | 0 | 0 | 0 | 0 | 0.087324 | 1 | 0.090141 | false | 0 | 0.002817 | 0 | 0.095775 | 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 |
1884d324b68126cc4388f1a54bfec87c93cf07f9 | 62 | py | Python | mlperf_logging/system_desc_checker/__main__.py | mwawrzos/logging | b2609c698c28a82751d68648b0bf7b6fe8c210ea | [
"Apache-2.0"
] | 48 | 2020-07-29T18:09:23.000Z | 2021-10-09T01:53:33.000Z | mlperf_logging/system_desc_checker/__main__.py | mwawrzos/logging | b2609c698c28a82751d68648b0bf7b6fe8c210ea | [
"Apache-2.0"
] | 137 | 2020-12-07T19:38:47.000Z | 2022-03-31T18:59:19.000Z | SIAT/benchmarks/resnet/implementations/tensorflow_open_src/mlperf_logging/system_desc_checker/__main__.py | lablup/training_results_v0.7 | f5bb59aa0f8b18b602763abe47d1d24d0d54b197 | [
"Apache-2.0"
] | 42 | 2020-08-01T06:41:24.000Z | 2022-01-20T10:33:08.000Z | from . import system_desc_checker
system_desc_checker.main()
| 15.5 | 33 | 0.83871 | 9 | 62 | 5.333333 | 0.666667 | 0.416667 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096774 | 62 | 3 | 34 | 20.666667 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 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 |
18a1e0c9eb1425196c337c63bb8fd327560ac0be | 16,506 | py | Python | tests/cloud/cloudfoundry/test_cloudfoundry.py | Gl4di4torRr/flow | fc57fd7eca167a499a6f94dc91f0e33ea8641c4f | [
"Apache-2.0"
] | null | null | null | tests/cloud/cloudfoundry/test_cloudfoundry.py | Gl4di4torRr/flow | fc57fd7eca167a499a6f94dc91f0e33ea8641c4f | [
"Apache-2.0"
] | 6 | 2021-03-05T16:39:42.000Z | 2021-06-11T01:04:57.000Z | tests/cloud/cloudfoundry/test_cloudfoundry.py | Gl4di4torRr/flow | fc57fd7eca167a499a6f94dc91f0e33ea8641c4f | [
"Apache-2.0"
] | null | null | null | import os
import subprocess
from unittest.mock import MagicMock
from unittest.mock import patch
import pytest
from flow.cloud.cloudfoundry.cloudfoundry import CloudFoundry
from flow.buildconfig import BuildConfig
mock_build_config_dict = {
"projectInfo": {
"name": "testproject"
},
"environments": {
"unittest": {
"cf": {
"apiEndpoint": "api.run-np.fake.com",
"domain": "apps-np.fake.com",
"space": "development",
"org": "ci"
},
"artifactCategory": "snapshot",
"associatedBranchName": "develop"
}
}
}
mock_build_config_dict_missing_project_name = {
"projectInfo": {
},
"environments": {
"unittest": {
"cf": {
"apiEndpoint": "api.run-np.fake.com",
"domain": "apps-np.fake.com",
"space": "development",
"org": "ci"
},
"artifactCategory": "snapshot",
"associatedBranchName": "develop"
}
}
}
mock_build_config_missing_space_dict = {
"projectInfo": {
"name": "testproject"
},
"environments": {
"unittest": {
"cf": {
"apiEndpoint": "api.run-np.fake.com",
"domain": "apps-np.fake.com",
"org": "ci"
},
"artifactCategory": "snapshot",
"associatedBranchName": "develop"
}
}
}
mock_build_config_missing_apiEndpoint_dict = {
"projectInfo": {
"name": "testproject"
},
"environments": {
"unittest": {
"cf": {
"domain": "apps-np.fake.com",
"space": "development",
"org": "ci"
},
"artifactCategory": "snapshot",
"associatedBranchName": "develop"
}
}
}
mock_build_config_missing_org_dict = {
"projectInfo": {
"name": "testproject"
},
"environments": {
"unittest": {
"cf": {
"apiEndpoint": "api.run-np.fake.com",
"domain": "apps-np.fake.com",
"space": "development"
},
"artifactCategory": "snapshot",
"associatedBranchName": "develop"
}
}
}
mock_started_apps_already_started = 'CI-HelloWorld-v2.9.0+1'
def test_verify_required_attributes_missing_user(monkeypatch):
if os.getenv('DEPLOYMENT_USER'):
monkeypatch.delenv('DEPLOYMENT_USER')
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with pytest.raises(SystemExit):
_cf = CloudFoundry()
_cf._verify_required_attributes()
mock_printmsg_fn.assert_called_with('CloudFoundry', '_verify_required_attributes', "No User Id. Did you forget to define environment variable 'DEPLOYMENT_USER?", 'ERROR')
def test_verify_required_attributes_missing_pwd(monkeypatch):
monkeypatch.setenv('DEPLOYMENT_USER', 'DUMMY')
if os.getenv('DEPLOYMENT_PWD'):
monkeypatch.delenv('DEPLOYMENT_PWD')
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with pytest.raises(SystemExit):
_cf = CloudFoundry()
_cf._verify_required_attributes()
mock_printmsg_fn.assert_called_with('CloudFoundry', '_verify_required_attributes', "No User Password. Did you forget to define environment variable 'DEPLOYMENT_PWD'?", 'ERROR')
def test_verify_required_attributes_missing_project_name(monkeypatch):
monkeypatch.setenv('DEPLOYMENT_USER', 'DUMMY')
monkeypatch.setenv('DEPLOYMENT_PWD', 'DUMMY')
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with pytest.raises(SystemExit):
_b = MagicMock(BuildConfig)
_b.build_env_info = mock_build_config_dict_missing_project_name['environments']['unittest']
_b.json_config = mock_build_config_dict_missing_project_name
_b.version_number = None
_b.project_name = None
_cf = CloudFoundry(_b)
_cf._verify_required_attributes()
mock_printmsg_fn.assert_called_with('CloudFoundry', '_verify_required_attributes', "The build config associated with cloudfoundry is missing key 'name'", 'ERROR')
def test_verify_required_attributes_missing_endpoint(monkeypatch):
monkeypatch.setenv('DEPLOYMENT_USER', 'DUMMY')
monkeypatch.setenv('DEPLOYMENT_PWD', 'DUMMY')
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with pytest.raises(SystemExit):
_b = MagicMock(BuildConfig)
_b.build_env_info = mock_build_config_missing_apiEndpoint_dict['environments']['unittest']
_b.json_config = mock_build_config_missing_apiEndpoint_dict
_b.version_number = None
_cf = CloudFoundry(_b)
_cf._verify_required_attributes()
mock_printmsg_fn.assert_called_with('CloudFoundry', '_verify_required_attributes', "The build config associated with cloudfoundry is missing key 'apiEndpoint'", 'ERROR')
def test_verify_required_attributes_missing_space(monkeypatch):
monkeypatch.setenv('DEPLOYMENT_USER', 'DUMMY')
monkeypatch.setenv('DEPLOYMENT_PWD', 'DUMMY')
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with pytest.raises(SystemExit):
_b = MagicMock(BuildConfig)
_b.build_env_info = mock_build_config_missing_space_dict['environments']['unittest']
_b.json_config = mock_build_config_missing_space_dict
_b.version_number = None
_cf = CloudFoundry(_b)
_cf._verify_required_attributes()
mock_printmsg_fn.assert_called_with('CloudFoundry', '_verify_required_attributes', "The build config associated with cloudfoundry is missing key 'space'", 'ERROR')
def test_verify_required_attributes_missing_org(monkeypatch):
monkeypatch.setenv('DEPLOYMENT_USER', 'DUMMY')
monkeypatch.setenv('DEPLOYMENT_PWD', 'DUMMY')
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with pytest.raises(SystemExit):
_b = MagicMock(BuildConfig)
_b.build_env_info = mock_build_config_missing_org_dict['environments']['unittest']
_b.json_config = mock_build_config_missing_org_dict
_b.version_number = None
_cf = CloudFoundry(_b)
_cf._verify_required_attributes()
mock_printmsg_fn.assert_called_with('CloudFoundry', '_verify_required_attributes', "The build config associated with cloudfoundry is missing key 'org'", 'ERROR')
def test_get_started_apps_already_started():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with patch.object(subprocess, 'Popen') as mocked_popen:
with pytest.raises(SystemExit):
mocked_popen.return_value.returncode = 0
mocked_popen.return_value.communicate.return_value = (mock_started_apps_already_started.encode(),
'FAKE_ERR_OUTPUT')
_b = MagicMock(BuildConfig)
_b.project_name = 'CI-HelloWorld'
_b.version_number = 'v2.9.0+1'
_cf = CloudFoundry(_b)
with patch.object(_cf, '_cf_logout'):
_cf._get_started_apps()
mock_printmsg_fn.assert_any_call('CloudFoundry', '_get_started_apps', "App version CI-HelloWorld-v2.9.0+1 "
"already exists and is running. Cannot "
"perform zero-downtime deployment. To "
"override, set force flag = 'true'",
'ERROR')
def test_get_started_apps_already_started_force_deploy():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with patch.object(subprocess, 'Popen') as mocked_popen:
mocked_popen.return_value.returncode = 0
mocked_popen.return_value.communicate.return_value = (mock_started_apps_already_started.encode(), 'FAKE_ERR_OUTPUT')
_b = MagicMock(BuildConfig)
_b.project_name = 'CI-HelloWorld'
_b.version_number = 'v2.9.0+1'
_cf = CloudFoundry(_b)
with patch.object(_cf, '_cf_logout'):
_cf._get_started_apps(True)
mock_printmsg_fn.assert_any_call('CloudFoundry', '_get_started_apps', "Already found CI-HelloWorld-v2.9.0+1 but force_deploy turned on. Continuing with deployment. Downtime will occur during deployment.")
def test_get_started_apps_already_started_failed_cmd():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with pytest.raises(SystemExit):
with patch.object(subprocess, 'Popen') as mocked_popen:
mocked_popen.return_value.returncode = 1
mocked_popen.return_value.communicate.return_value = (mock_started_apps_already_started.encode(), 'FAKE_ERR_OUTPUT')
_b = MagicMock(BuildConfig)
_b.project_name = 'CI-HelloWorld'
_b.version_number = 'v2.9.0+1'
_cf = CloudFoundry(_b)
with patch.object(_cf, '_cf_logout'):
_cf._get_started_apps('true')
mock_printmsg_fn.assert_any_call('CloudFoundry', '_get_started_apps', "Failed calling cf apps | grep CI-HelloWorld*-v\\d*\\.\\d*\\.\\d* | grep started | awk '{print $1}'. Return code of 1", 'ERROR')
def test_find_deployable_multiple_files():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with pytest.raises(SystemExit):
with patch('os.listdir', return_value=['file1.txt', 'file2.txt', 'file3.txt']):
with patch('os.path.isfile', return_value=True):
_b = MagicMock(BuildConfig)
_b.project_name = 'CI-HelloWorld'
_b.version_number = 'v2.9.0+1'
_b.push_location = 'fordeployment'
_cf = CloudFoundry(_b)
_cf.find_deployable('txt', 'fake_push_dir')
mock_printmsg_fn.assert_called_with('Cloud', 'find_deployable', 'Found more than 1 artifact in fake_push_dir',
'ERROR')
# def test_find_deployable_no_files_only_directories():
# with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
# with pytest.raises(SystemExit):
# with patch('os.listdir', return_value=['file1.txt', 'file2.txt', 'file3.txt']):
# with patch('os.path.isfile', return_value=False):
# _b = MagicMock(BuildConfig)
# _b.project_name = 'CI-HelloWorld'
# _b.version_number = 'v2.9.0+1'
# _b.push_location = 'fordeployment'
# _cf = CloudFoundry(_b)
# _cf.find_deployable('txt', 'fake_push_dir')
#
# mock_printmsg_fn.assert_called_with('Cloud', 'find_deployable', 'Could not find file of type txt in fake_push_dir',
# 'ERROR')
def test_find_deployable_no_files_only_directories():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with pytest.raises(SystemExit):
with patch('os.listdir', return_value=['file1.txt', 'file2.txt', 'file3.txt']):
with patch('os.path.isfile', return_value=False):
_b = MagicMock(BuildConfig)
_b.project_name = 'CI-HelloWorld'
_b.version_number = 'v2.9.0+1'
_b.push_location = 'fordeployment'
_cf = CloudFoundry(_b)
_cf.find_deployable('txt', 'fake_push_dir')
mock_printmsg_fn.assert_called_with('Cloud', 'find_deployable', 'Could not find file of type txt in fake_push_dir',
'ERROR')
def test_find_deployable_one_file():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with patch('zipfile.ZipFile') as mocked_ZipFile:
mocked_ZipFile.return_value.returncode = 0
with patch('os.listdir', return_value=['file1.jar', 'file2.abc', 'file3.abc']):
with patch('os.path.isfile', return_value=True):
_b = MagicMock(BuildConfig)
_b.project_name = 'CI-HelloWorld'
_b.version_number = 'v2.9.0+1'
_b.push_location = 'fordeployment'
_cf = CloudFoundry(_b)
_cf.find_deployable('jar', 'fake_push_dir')
mock_printmsg_fn.assert_any_call('Cloud', 'find_deployable', 'Looking for a jar in fake_push_dir')
def test_push_location_returns_empty_for_docker_artifact_type():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
_b = MagicMock(BuildConfig)
_b.artifact_extension = 'docker'
_cf = CloudFoundry(_b)
result = _cf._determine_push_location()
assert result == ""
def test_push_location_for_zip_artifact_type():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
_b = MagicMock(BuildConfig)
_b.artifact_extension = 'zip'
_b.push_location = 'fordeployment'
_cf = CloudFoundry(_b)
result = _cf._determine_push_location()
assert result == "-p fordeployment"
def test_push_location_for_tar_artifact_type():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
_b = MagicMock(BuildConfig)
_b.artifact_extension = 'tar'
_b.push_location = 'fordeployment'
_cf = CloudFoundry(_b)
result = _cf._determine_push_location()
assert result == "-p fordeployment"
def test_push_location_for_tar_gz_artifact_type():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
_b = MagicMock(BuildConfig)
_b.artifact_extension = 'tar.gz'
_b.push_location = 'fordeployment'
_cf = CloudFoundry(_b)
result = _cf._determine_push_location()
assert result == "-p fordeployment"
def test_push_location_for_jar_artifact_type():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with patch('os.listdir', return_value=['file1.jar', 'file2.war', 'file3.abc']):
with patch('os.path.isfile', return_value=True):
_b = MagicMock(BuildConfig)
_b.artifact_extension = 'jar'
_b.push_location = 'fake_push_dir'
_cf = CloudFoundry(_b)
result = _cf._determine_push_location()
mock_printmsg_fn.assert_any_call('Cloud', 'find_deployable', 'Looking for a jar in fake_push_dir')
assert result == "-p fake_push_dir/file1.jar"
def test_push_location_for_war_artifact_type():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with patch('os.listdir', return_value=['file1.jar', 'file2.war', 'file3.abc']):
with patch('os.path.isfile', return_value=True):
_b = MagicMock(BuildConfig)
_b.artifact_extension = 'war'
_b.push_location = 'fake_push_dir'
_cf = CloudFoundry(_b)
result = _cf._determine_push_location()
mock_printmsg_fn.assert_any_call('Cloud', 'find_deployable', 'Looking for a war in fake_push_dir')
assert result == "-p fake_push_dir/file2.war"
def test_determine_push_location_called_by_cf_push():
with patch('flow.utils.commons.print_msg') as mock_printmsg_fn:
with patch('os.listdir', return_value=['file1.jar', 'file2.war', 'file3.abc']):
with patch('os.path.isfile', return_value=True):
with patch.object(subprocess, 'Popen') as mocked_popen:
mocked_popen.return_value.returncode = 0
_b = MagicMock(BuildConfig)
_b.artifact_extension = 'war'
_b.push_location = 'fake_push_dir'
_cf = CloudFoundry(_b)
_cf._cf_push('fake_manifest.yml')
mock_printmsg_fn.assert_any_call('Cloud', 'find_deployable', 'Looking for a war in fake_push_dir') | 40.160584 | 213 | 0.615655 | 1,810 | 16,506 | 5.240331 | 0.103315 | 0.039852 | 0.053137 | 0.037955 | 0.894781 | 0.878967 | 0.858619 | 0.818661 | 0.795045 | 0.790617 | 0 | 0.005957 | 0.27796 | 16,506 | 411 | 214 | 40.160584 | 0.789898 | 0.048649 | 0 | 0.652318 | 0 | 0.006623 | 0.258653 | 0.053541 | 0 | 0 | 0 | 0 | 0.069536 | 1 | 0.062914 | false | 0.003311 | 0.023179 | 0 | 0.086093 | 0.112583 | 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 |
18a264f148a6e03e209a6566686623b0ce2aacfc | 27,670 | py | Python | cesiumpy/entities/tests/test_entity.py | cksammons7/cesiumpy | 0ffa7509fdac03644f0e2fb91385106c40284aa1 | [
"Apache-2.0"
] | 62 | 2015-12-30T04:17:25.000Z | 2022-02-09T04:26:24.000Z | cesiumpy/entities/tests/test_entity.py | cksammons7/cesiumpy | 0ffa7509fdac03644f0e2fb91385106c40284aa1 | [
"Apache-2.0"
] | 20 | 2016-01-19T10:07:21.000Z | 2021-11-15T18:36:45.000Z | cesiumpy/entities/tests/test_entity.py | cksammons7/cesiumpy | 0ffa7509fdac03644f0e2fb91385106c40284aa1 | [
"Apache-2.0"
] | 33 | 2016-02-03T13:28:29.000Z | 2022-02-26T13:14:41.000Z | #!/usr/bin/env python
# coding: utf-8
import nose
import unittest
import traitlets
import cesiumpy
class TestEntity(unittest.TestCase):
def test_validate_definitions(self):
entities = [cesiumpy.Point, cesiumpy.Label, cesiumpy.Billboard,
cesiumpy.Ellipse, cesiumpy.Ellipsoid,
cesiumpy.Corridor, cesiumpy.Cylinder,
cesiumpy.Polyline, cesiumpy.PolylineVolume, cesiumpy.Wall,
cesiumpy.Rectangle, cesiumpy.Box, cesiumpy.Polygon]
for entity in entities:
# validate for development purpose, should be moved to tests
for p in entity._props:
self.assertFalse(p in entity._common_props)
self.assertFalse('name' in entity._props)
self.assertFalse('position' in entity._props)
self.assertFalse('name' in entity._common_props)
self.assertFalse('position' in entity._common_props)
def test_point(self):
e = cesiumpy.Point(position=(-110, 40, 0))
exp = """{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), point : {pixelSize : 10.0, color : Cesium.Color.WHITE}}"""
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
# create Cartesian3 from 2 elements tuple
e = cesiumpy.Point(position=(-110, 40))
self.assertEqual(e.script, exp)
e = cesiumpy.Point(position=(-110, 40, 0), pixelSize=100, color='blue')
exp = """{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), point : {pixelSize : 100.0, color : Cesium.Color.BLUE}}"""
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
# create Cartesian3 from 2 elements tuple
e = cesiumpy.Point(position=(-110, 40), pixelSize=100, color='blue')
self.assertEqual(e.script, exp)
def test_label(self):
e = cesiumpy.Label(position=(-110, 40, 0), text='label_text')
exp = """{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), label : {text : "label_text"}}"""
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Label(position=(-110, 40, 0), text='label_text', fillColor='blue', scale=0.1)
exp = """{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), label : {text : "label_text", fillColor : Cesium.Color.BLUE, scale : 0.1}}"""
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
def test_billboard(self):
p = cesiumpy.Pin()
e = cesiumpy.Billboard(position=(-110, 40, 0), image=p)
exp = """{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), billboard : {image : new Cesium.PinBuilder().fromColor(Cesium.Color.ROYALBLUE, 48.0)}}"""
self.assertEqual(e.script, exp)
e = cesiumpy.Billboard(position=(-110, 40, 0))
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
p = cesiumpy.Pin().fromText('?')
e = cesiumpy.Billboard(position=(-110, 40, 0), image=p)
exp = """{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), billboard : {image : new Cesium.PinBuilder().fromText("?", Cesium.Color.ROYALBLUE, 48.0)}}"""
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
p = cesiumpy.Pin().fromText('!', color='red')
e = cesiumpy.Billboard(position=(-110, 40, 0), image=p, scale=3)
exp = """{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), billboard : {image : new Cesium.PinBuilder().fromText("!", Cesium.Color.RED, 48.0), scale : 3.0}}"""
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
def test_billboard_origins(self):
p = cesiumpy.Pin()
e = cesiumpy.Billboard(position=[-130, 40, 0], image=p,
horizontalOrigin=cesiumpy.HorizontalOrigin.LEFT,
verticalOrigin=cesiumpy.VerticalOrigin.BOTTOM)
exp = """{position : Cesium.Cartesian3.fromDegrees(-130.0, 40.0, 0.0), billboard : {image : new Cesium.PinBuilder().fromColor(Cesium.Color.ROYALBLUE, 48.0), horizontalOrigin : Cesium.HorizontalOrigin.LEFT, verticalOrigin : Cesium.VerticalOrigin.BOTTOM}}"""
self.assertEqual(e.script, exp)
e = cesiumpy.Billboard(position=[-130, 40, 0], image=p,
horizontalOrigin=cesiumpy.HorizontalOrigin.CENTER,
verticalOrigin=cesiumpy.VerticalOrigin.CENTER)
exp = """{position : Cesium.Cartesian3.fromDegrees(-130.0, 40.0, 0.0), billboard : {image : new Cesium.PinBuilder().fromColor(Cesium.Color.ROYALBLUE, 48.0), horizontalOrigin : Cesium.HorizontalOrigin.CENTER, verticalOrigin : Cesium.VerticalOrigin.CENTER}}"""
self.assertEqual(e.script, exp)
e = cesiumpy.Billboard(position=[-130, 40, 0], image=p,
horizontalOrigin=cesiumpy.HorizontalOrigin.RIGHT,
verticalOrigin=cesiumpy.VerticalOrigin.TOP)
exp = """{position : Cesium.Cartesian3.fromDegrees(-130.0, 40.0, 0.0), billboard : {image : new Cesium.PinBuilder().fromColor(Cesium.Color.ROYALBLUE, 48.0), horizontalOrigin : Cesium.HorizontalOrigin.RIGHT, verticalOrigin : Cesium.VerticalOrigin.TOP}}"""
self.assertEqual(e.script, exp)
msg = "The 'horizontalOrigin' trait of a Billboard instance must be a HorizontalOrigin or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Billboard(position=[-130, 40, 0], image=p,
horizontalOrigin=1,
verticalOrigin=cesiumpy.VerticalOrigin.TOP)
msg = "The 'verticalOrigin' trait of a Billboard instance must be a VerticalOrigin or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Billboard(position=[-130, 40, 0], image=p,
horizontalOrigin=cesiumpy.HorizontalOrigin.RIGHT,
verticalOrigin='xxx')
def test_billboard_icon(self):
b = cesiumpy.Billboard(position=[135, 35, 0], image='xxx.png', scale=0.1)
exp = """{position : Cesium.Cartesian3.fromDegrees(135.0, 35.0, 0.0), billboard : {image : "xxx.png", scale : 0.1}}"""
self.assertEqual(b.script, exp)
b = cesiumpy.Billboard(position=[135, 35, 0], image='xxx.png', scale=0.1, eyeOffset=(0, 10e4, 0))
exp = """{position : Cesium.Cartesian3.fromDegrees(135.0, 35.0, 0.0), billboard : {image : "xxx.png", scale : 0.1, eyeOffset : new Cesium.Cartesian3(0.0, 100000.0, 0.0)}}"""
self.assertEqual(b.script, exp)
b = cesiumpy.Billboard(position=[135, 35, 0], image='xxx.png', scale=0.1, pixelOffset=(0, 150))
exp = """{position : Cesium.Cartesian3.fromDegrees(135.0, 35.0, 0.0), billboard : {image : "xxx.png", scale : 0.1, pixelOffset : new Cesium.Cartesian2(0.0, 150.0)}}"""
self.assertEqual(b.script, exp)
def test_ellipse(self):
e = cesiumpy.Ellipse(position=[-110, 40, 0], semiMinorAxis=25.0, semiMajorAxis=40.0)
exp = "{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), ellipse : {semiMinorAxis : 25.0, semiMajorAxis : 40.0}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Ellipse(position=[-110, 40, 0], semiMinorAxis=25.0, semiMajorAxis=40.0, material=cesiumpy.color.RED)
exp = "{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), ellipse : {semiMinorAxis : 25.0, semiMajorAxis : 40.0, material : Cesium.Color.RED}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Ellipse(position=[-110, 40, 0], semiMinorAxis=25.0, semiMajorAxis=40.0, material='red')
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
def test_ellipse_image_material(self):
e = cesiumpy.Ellipse(position=[-110, 40, 0], semiMinorAxis=25.0,
semiMajorAxis=40.0, material='xxx.png')
self.assertEqual(repr(e), 'Ellipse(-110.0, 40.0, 0.0)')
exp = """{position : Cesium.Cartesian3.fromDegrees(-110.0, 40.0, 0.0), ellipse : {semiMinorAxis : 25.0, semiMajorAxis : 40.0, material : new Cesium.ImageMaterialProperty({image : "xxx.png"})}}"""
self.assertEqual(e.script, exp)
def test_ellipsoid(self):
e = cesiumpy.Ellipsoid(position=(-70, 40, 0), radii=(20, 30, 40), material=cesiumpy.color.GREEN)
exp = "{position : Cesium.Cartesian3.fromDegrees(-70.0, 40.0, 0.0), ellipsoid : {radii : new Cesium.Cartesian3(20.0, 30.0, 40.0), material : Cesium.Color.GREEN}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Ellipsoid(position=(-70, 40, 0), radii=(20, 30, 40), material=cesiumpy.color.RED, name='XXX')
exp = '{name : "XXX", position : Cesium.Cartesian3.fromDegrees(-70.0, 40.0, 0.0), ellipsoid : {radii : new Cesium.Cartesian3(20.0, 30.0, 40.0), material : Cesium.Color.RED}}'
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
msg = "The 'radii' trait of an Ellipsoid instance must be a Cartesian3"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Ellipsoid(position=(-70, 40, 0), radii=(20, 30, 40, 10, 50))
def test_cylinder(self):
e = cesiumpy.Cylinder(position=(-70, 40, 0), length=10, topRadius=100, bottomRadius=200, material=cesiumpy.color.AQUA)
exp = "{position : Cesium.Cartesian3.fromDegrees(-70.0, 40.0, 0.0), cylinder : {length : 10.0, topRadius : 100.0, bottomRadius : 200.0, material : Cesium.Color.AQUA}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Cylinder(position=(-70, 40, 0), length=10, topRadius=100, bottomRadius=200)
exp = "{position : Cesium.Cartesian3.fromDegrees(-70.0, 40.0, 0.0), cylinder : {length : 10.0, topRadius : 100.0, bottomRadius : 200.0}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
def test_polyline(self):
e = cesiumpy.Polyline(positions=[-77, 35, -77.1, 35], width=5, material=cesiumpy.color.RED)
exp = "{polyline : {positions : Cesium.Cartesian3.fromDegreesArray([-77, 35, -77.1, 35]), width : 5.0, material : Cesium.Color.RED}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
def test_polylinevolume(self):
e = cesiumpy.PolylineVolume(positions=[-120, 20, -90, 25, -60, 20],
shape=[cesiumpy.Cartesian2(-50000, -50000), cesiumpy.Cartesian2(50000, -50000),
cesiumpy.Cartesian2(50000, 50000), cesiumpy.Cartesian2(-50000, 50000)],
material=cesiumpy.color.GREEN)
exp = "{polylineVolume : {positions : Cesium.Cartesian3.fromDegreesArray([-120, 20, -90, 25, -60, 20]), shape : [new Cesium.Cartesian2(-50000.0, -50000.0), new Cesium.Cartesian2(50000.0, -50000.0), new Cesium.Cartesian2(50000.0, 50000.0), new Cesium.Cartesian2(-50000.0, 50000.0)], material : Cesium.Color.GREEN}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.PolylineVolume(positions=[-120, 20, -90, 25, -60, 20],
shape=[1, 2, 3, 4], material=cesiumpy.color.GREEN)
exp = "{polylineVolume : {positions : Cesium.Cartesian3.fromDegreesArray([-120, 20, -90, 25, -60, 20]), shape : [new Cesium.Cartesian2(1.0, 2.0), new Cesium.Cartesian2(3.0, 4.0)], material : Cesium.Color.GREEN}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.PolylineVolume(positions=[(-120, 20), (-90, 25), (-60, 20)],
shape=((1, 2), (3, 4)), material=cesiumpy.color.GREEN)
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.PolylineVolume(positions=[(-120, 20), (-90, 25), (-60, 20)],
shape=((1, 2), (3, 4)), material=cesiumpy.color.GREEN)
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
msg = "shape must be list-likes: 1"
with nose.tools.assert_raises_regexp(ValueError, msg):
cesiumpy.PolylineVolume(positions=[-120, 20, -90, 25, -60, 20], shape=1, material=cesiumpy.color.GREEN)
msg = "shape length must be an even number: \\[1, 2, 4\\]"
with nose.tools.assert_raises_regexp(ValueError, msg):
cesiumpy.PolylineVolume(positions=[-120, 20, -90, 25, -60, 20], shape=[1, 2, 4], material=cesiumpy.color.GREEN)
msg = "shape must be a listlike of Cartesian2: "
with nose.tools.assert_raises_regexp(ValueError, msg):
cesiumpy.PolylineVolume(positions=[-120, 20, -90, 25, -60, 20],
shape=[cesiumpy.Cartesian2(1, 2), cesiumpy.Cartesian3(1, 2, 3),
cesiumpy.Cartesian2(3, 4)],
material=cesiumpy.color.GREEN)
def test_corridor(self):
e = cesiumpy.Corridor(positions=[-120, 30, -90, 35, -60, 30],
width=2e5, material=cesiumpy.color.RED)
exp = "{corridor : {positions : Cesium.Cartesian3.fromDegreesArray([-120, 30, -90, 35, -60, 30]), width : 200000.0, material : Cesium.Color.RED}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Corridor(positions=((-120, 30), (-90, 35), (-60, 30)),
width=2e5, material='red')
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
msg = "x length must be an even number: "
with nose.tools.assert_raises_regexp(ValueError, msg):
cesiumpy.Corridor(positions=((-120, 30), (35, ), (-60, 30)),
width=2e5, material='red')
def test_corridor_cornertypes(self):
e = cesiumpy.Corridor(positions=[-130, 40, -120, 30, -110, 40], width=100000,
cornerType=cesiumpy.CornerType.BEVELED)
exp = """{corridor : {positions : Cesium.Cartesian3.fromDegreesArray([-130, 40, -120, 30, -110, 40]), cornerType : Cesium.CornerType.BEVELED, width : 100000.0}}"""
self.assertEqual(e.script, exp)
e = cesiumpy.Corridor(positions=[-130, 40, -120, 30, -110, 40], width=100000,
cornerType=cesiumpy.CornerType.MITERED)
exp = """{corridor : {positions : Cesium.Cartesian3.fromDegreesArray([-130, 40, -120, 30, -110, 40]), cornerType : Cesium.CornerType.MITERED, width : 100000.0}}"""
self.assertEqual(e.script, exp)
e = cesiumpy.Corridor(positions=[-130, 40, -120, 30, -110, 40], width=100000,
cornerType=cesiumpy.CornerType.ROUNDED)
exp = """{corridor : {positions : Cesium.Cartesian3.fromDegreesArray([-130, 40, -120, 30, -110, 40]), cornerType : Cesium.CornerType.ROUNDED, width : 100000.0}}"""
self.assertEqual(e.script, exp)
msg = "The 'cornerType' trait of a Corridor instance must be a CornerType or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Corridor(positions=[-130, 40, -120, 30, -110, 40], width=100000,
cornerType='ROUNDED')
def test_wall(self):
e = cesiumpy.Wall(positions=[-60, 40, -65, 40, -65, 45, -60, 45],
maximumHeights=100, minimumHeights=0,
material=cesiumpy.color.RED)
exp = "{wall : {positions : Cesium.Cartesian3.fromDegreesArray([-60, 40, -65, 40, -65, 45, -60, 45]), maximumHeights : [100, 100, 100, 100], minimumHeights : [0, 0, 0, 0], material : Cesium.Color.RED}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Wall(positions=[-60, 40, -65, 40, -65, 45, -60, 45],
maximumHeights=[100] * 4, minimumHeights=[0] * 4,
material=cesiumpy.color.RED)
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Wall(positions=[(-60, 40), (-65, 40), (-65, 45), (-60, 45)],
maximumHeights=100, minimumHeights=0,
material='red')
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Wall(positions=[(-60, 40), (-65, 40), (-65, 45), (-60, 45)],
maximumHeights=[100] * 4, minimumHeights=[0] * 4,
material='red')
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
msg = "maximumHeights must has the half length"
with nose.tools.assert_raises_regexp(ValueError, msg):
cesiumpy.Wall(positions=[-60, 40, -65, 40, -65, 45, -60, 45],
maximumHeights=[100] * 2, minimumHeights=[0] * 4,
material=cesiumpy.color.RED)
msg = "minimumHeights must has the half length"
with nose.tools.assert_raises_regexp(ValueError, msg):
cesiumpy.Wall(positions=[-60, 40, -65, 40, -65, 45, -60, 45],
maximumHeights=[100] * 4, minimumHeights=[0] * 3,
material=cesiumpy.color.RED)
def test_rectangle(self):
e = cesiumpy.Rectangle(coordinates=(-80, 20, -60, 40), material=cesiumpy.color.GREEN)
exp = "{rectangle : {coordinates : Cesium.Rectangle.fromDegrees(-80.0, 20.0, -60.0, 40.0), material : Cesium.Color.GREEN}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Rectangle(coordinates=(-80, 20, -60, 40),
material=cesiumpy.color.GREEN, outlineColor=cesiumpy.color.RED)
exp = "{rectangle : {coordinates : Cesium.Rectangle.fromDegrees(-80.0, 20.0, -60.0, 40.0), material : Cesium.Color.GREEN, outlineColor : Cesium.Color.RED}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Rectangle(coordinates=[(-80, 20), (-60, 40)],
material='green', outlineColor='red')
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Rectangle(coordinates=(-80, 20, -60, 40), material='green', outlineColor='red')
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
msg = "The 'coordinates' trait of a Rectangle instance must be a Rectangle"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Rectangle(coordinates=[1, 2, 3],
material='green', outlineColor='red')
msg = "The 'north' trait of a Rectangle instance must be a float"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Rectangle(coordinates=(-80, 20, -60, 'X'),
material='green', outlineColor='red')
def test_box(self):
e = cesiumpy.Box(dimensions=(40e4, 30e4, 50e4),
material=cesiumpy.color.RED, position=[-120, 40, 0])
exp = "{position : Cesium.Cartesian3.fromDegrees(-120.0, 40.0, 0.0), box : {dimensions : new Cesium.Cartesian3(400000.0, 300000.0, 500000.0), material : Cesium.Color.RED}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
msg = "The 'dimensions' trait of a Box instance must be a Cartesian3"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Box(dimensions=(40e4, 30e4),
material=cesiumpy.color.RED, position=[-120, 40, 0])
def test_polygon(self):
e = cesiumpy.Polygon([1, 1, 2, 2])
exp = "{polygon : {hierarchy : Cesium.Cartesian3.fromDegreesArray([1, 1, 2, 2])}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
e = cesiumpy.Polygon([1, 1, 2, 2], material=cesiumpy.color.AQUA)
exp = "{polygon : {hierarchy : Cesium.Cartesian3.fromDegreesArray([1, 1, 2, 2]), material : Cesium.Color.AQUA}}"
self.assertEqual(e.script, exp)
e = e.copy()
self.assertEqual(e.script, exp)
def test_entities_repr(self):
e = cesiumpy.Point(position=[-110, 40, 0])
exp = "Point(-110.0, 40.0, 0.0)"
self.assertEqual(repr(e), exp)
e = cesiumpy.Label(position=[-110, 40, 0], text='xxx')
exp = "Label(-110.0, 40.0, 0.0)"
self.assertEqual(repr(e), exp)
p = cesiumpy.Pin()
e = cesiumpy.Billboard(position=(-110, 40, 0), image=p)
exp = "Billboard(-110.0, 40.0, 0.0)"
self.assertEqual(repr(e), exp)
e = cesiumpy.Box(position=[-110, 40, 0], dimensions=(40e4, 30e4, 50e4))
exp = "Box(-110.0, 40.0, 0.0)"
self.assertEqual(repr(e), exp)
e = cesiumpy.Ellipse(position=[-110, 40, 0], semiMinorAxis=25e4,
semiMajorAxis=40e4)
exp = "Ellipse(-110.0, 40.0, 0.0)"
self.assertEqual(repr(e), exp)
e = cesiumpy.Cylinder(position=[-110, 40, 100], length=100e4,
topRadius=10e4, bottomRadius=10e4)
exp = "Cylinder(-110.0, 40.0, 100.0)"
self.assertEqual(repr(e), exp)
e = cesiumpy.Polygon(hierarchy=[-90, 40, -95, 40, -95, 45, -90, 40])
exp = "Polygon([-90, 40, -95, 40, -95, 45, -90, 40])"
self.assertEqual(repr(e), exp)
e = cesiumpy.Rectangle(coordinates=(-85, 40, -80, 45))
exp = "Rectangle(west=-85.0, south=40.0, east=-80.0, north=45.0)"
self.assertEqual(repr(e), exp)
e = cesiumpy.Ellipsoid(position=(-70, 40, 0), radii=(20e4, 20e4, 30e4))
exp = "Ellipsoid(-70.0, 40.0, 0.0)"
self.assertEqual(repr(e), exp)
e = cesiumpy.Wall(positions=[-60, 40, -65, 40, -65, 45, -60, 45],
maximumHeights=[10e4] * 4, minimumHeights=[0] * 4)
exp = "Wall([-60, 40, -65, 40, -65, 45, -60, 45])"
self.assertEqual(repr(e), exp)
e = cesiumpy.Corridor(positions=[-120, 30, -90, 35, -60, 30], width=2e5)
exp = "Corridor([-120, 30, -90, 35, -60, 30])"
self.assertEqual(repr(e), exp)
e = cesiumpy.Polyline(positions=[-120, 25, -90, 30, -60, 25], width=0.5)
exp = "Polyline([-120, 25, -90, 30, -60, 25])"
self.assertEqual(repr(e), exp)
e = cesiumpy.PolylineVolume(positions=[-120, 20, -90, 25, -60, 20],
shape=[-5e4, -5e4, 5e4, -5e4, 5e4, 5e4, -5e4, 5e4])
exp = "PolylineVolume([-120, 20, -90, 25, -60, 20])"
self.assertEqual(repr(e), exp)
def test_material_property(self):
msg = "The 'material' trait of a Box instance must be a Material or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Box(position=[-120, 40, 0], dimensions=(10, 20, 30),
material=1)
b = cesiumpy.Box(position=[-120, 40, 0], dimensions=(10, 20, 30),
material='red')
exp = """{position : Cesium.Cartesian3.fromDegrees(-120.0, 40.0, 0.0), box : {dimensions : new Cesium.Cartesian3(10.0, 20.0, 30.0), material : Cesium.Color.RED}}"""
self.assertEqual(b.script, exp)
msg = "The 'material' trait of a Box instance must be a Material or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
b.material = 1
b.material = 'blue'
exp = """{position : Cesium.Cartesian3.fromDegrees(-120.0, 40.0, 0.0), box : {dimensions : new Cesium.Cartesian3(10.0, 20.0, 30.0), material : Cesium.Color.BLUE}}"""
self.assertEqual(b.script, exp)
def test_color_property(self):
msg = "The 'color' trait of a Point instance must be a Color or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Point(position=[-120, 40, 0], color=1)
b = cesiumpy.Point(position=[-120, 40, 0], color='red')
exp = """{position : Cesium.Cartesian3.fromDegrees(-120.0, 40.0, 0.0), point : {pixelSize : 10.0, color : Cesium.Color.RED}}"""
self.assertEqual(b.script, exp)
msg = "The 'color' trait of a Point instance must be a Color or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
b.color = 1
b.color = 'blue'
exp = """{position : Cesium.Cartesian3.fromDegrees(-120.0, 40.0, 0.0), point : {pixelSize : 10.0, color : Cesium.Color.BLUE}}"""
self.assertEqual(b.script, exp)
def test_outlineColor_property(self):
msg = "The 'outlineColor' trait of a Box instance must be a Color or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Box(position=[-120, 40, 0], dimensions=(10, 20, 30),
outlineColor=1)
b = cesiumpy.Box(position=[-120, 40, 0], dimensions=(10, 20, 30),
outlineColor='red')
exp = """{position : Cesium.Cartesian3.fromDegrees(-120.0, 40.0, 0.0), box : {dimensions : new Cesium.Cartesian3(10.0, 20.0, 30.0), outlineColor : Cesium.Color.RED}}"""
self.assertEqual(b.script, exp)
msg = "The 'outlineColor' trait of a Box instance must be a Color or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
b.outlineColor = 1
b.outlineColor = 'blue'
exp = """{position : Cesium.Cartesian3.fromDegrees(-120.0, 40.0, 0.0), box : {dimensions : new Cesium.Cartesian3(10.0, 20.0, 30.0), outlineColor : Cesium.Color.BLUE}}"""
self.assertEqual(b.script, exp)
def test_fillColor_property(self):
msg = "The 'fillColor' trait of a Label instance must be a Color or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
cesiumpy.Label(position=[-120, 40, 0], text="xxx", fillColor=1)
b = cesiumpy.Label(position=[-120, 40, 0], text="xxx", fillColor="red")
exp = """{position : Cesium.Cartesian3.fromDegrees(-120.0, 40.0, 0.0), label : {text : "xxx", fillColor : Cesium.Color.RED}}"""
self.assertEqual(b.script, exp)
msg = "The 'fillColor' trait of a Label instance must be a Color or None"
with nose.tools.assert_raises_regexp(traitlets.TraitError, msg):
b.fillColor = 1
b.fillColor = 'blue'
exp = """{position : Cesium.Cartesian3.fromDegrees(-120.0, 40.0, 0.0), label : {text : "xxx", fillColor : Cesium.Color.BLUE}}"""
self.assertEqual(b.script, exp)
if __name__ == '__main__':
nose.runmodule(argv=[__file__, '-vvs', '-x', '--pdb', '--pdb-failure'],
exit=False)
| 50.400729 | 322 | 0.592447 | 3,452 | 27,670 | 4.719583 | 0.059096 | 0.091149 | 0.072674 | 0.099926 | 0.848515 | 0.831267 | 0.803094 | 0.763872 | 0.738706 | 0.717039 | 0 | 0.091858 | 0.252078 | 27,670 | 548 | 323 | 50.492701 | 0.695385 | 0.006252 | 0 | 0.518072 | 0 | 0.103614 | 0.296705 | 0.092027 | 0 | 0 | 0 | 0 | 0.301205 | 1 | 0.055422 | false | 0 | 0.009639 | 0 | 0.06747 | 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 |
7a0821b195328c2c8fc4498790f846248e4b68fa | 20,730 | py | Python | tests/test_kitti_raw_format.py | jenhaoyang/datumaro | add81ddb59502362fa65fa07e5bc4d8c9f61afde | [
"MIT"
] | null | null | null | tests/test_kitti_raw_format.py | jenhaoyang/datumaro | add81ddb59502362fa65fa07e5bc4d8c9f61afde | [
"MIT"
] | null | null | null | tests/test_kitti_raw_format.py | jenhaoyang/datumaro | add81ddb59502362fa65fa07e5bc4d8c9f61afde | [
"MIT"
] | 1 | 2021-12-15T22:15:59.000Z | 2021-12-15T22:15:59.000Z | from functools import partial
from unittest import TestCase
import os
import os.path as osp
from datumaro.components.annotation import (
AnnotationType, Cuboid3d, LabelCategories,
)
from datumaro.components.environment import Environment
from datumaro.components.extractor import DatasetItem
from datumaro.components.project import Dataset
from datumaro.plugins.kitti_raw_format.converter import KittiRawConverter
from datumaro.plugins.kitti_raw_format.extractor import KittiRawImporter
from datumaro.util.test_utils import (
Dimensions, TestDir, check_save_and_load, compare_datasets_3d,
)
from tests.requirements import Requirements, mark_requirement
DUMMY_DATASET_DIR = osp.join(osp.dirname(
__file__), 'assets', 'kitti_dataset', 'kitti_raw')
class KittiRawImporterTest(TestCase):
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_detect(self):
detected_formats = Environment().detect_dataset(DUMMY_DATASET_DIR)
self.assertEqual([KittiRawImporter.NAME], detected_formats)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_load(self):
pcd1 = osp.join(DUMMY_DATASET_DIR,
'velodyne_points', 'data', '0000000000.pcd')
pcd2 = osp.join(DUMMY_DATASET_DIR,
'velodyne_points', 'data', '0000000001.pcd')
pcd3 = osp.join(DUMMY_DATASET_DIR,
'velodyne_points', 'data', '0000000002.pcd')
image1 = osp.join(DUMMY_DATASET_DIR,
'IMAGE_00', 'data', '0000000000.png')
image2 = osp.join(DUMMY_DATASET_DIR,
'IMAGE_00', 'data', '0000000001.png')
image3 = osp.join(DUMMY_DATASET_DIR,
'IMAGE_00', 'data', '0000000002.png')
expected_label_cat = LabelCategories(attributes={'occluded'})
expected_label_cat.add('bus')
expected_label_cat.add('car')
expected_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000',
annotations=[
Cuboid3d(position=[1, 2, 3], scale=[7.95, -3.62, -1.03],
label=1, attributes={'occluded': False, 'track_id': 1}),
Cuboid3d(position=[1, 1, 0], scale=[8.34, 23.01, -0.76],
label=0, attributes={'occluded': False, 'track_id': 2})
],
point_cloud=pcd1, related_images=[image1],
attributes={'frame': 0}),
DatasetItem(id='0000000001',
annotations=[
Cuboid3d(position=[0, 1, 0], scale=[8.34, 23.01, -0.76],
rotation=[1, 1, 3],
label=0, attributes={'occluded': True, 'track_id': 2})
],
point_cloud=pcd2, related_images=[image2],
attributes={'frame': 1}),
DatasetItem(id='0000000002',
annotations=[
Cuboid3d(position=[1, 2, 3], scale=[-9.41, 13.54, 0.24],
label=1, attributes={'occluded': False, 'track_id': 3})
],
point_cloud=pcd3, related_images=[image3],
attributes={'frame': 2})
], categories={AnnotationType.label: expected_label_cat})
parsed_dataset = Dataset.import_from(DUMMY_DATASET_DIR, 'kitti_raw')
compare_datasets_3d(self, expected_dataset, parsed_dataset,
require_point_cloud=True)
class KittiRawConverterTest(TestCase):
pcd1 = osp.abspath(osp.join(DUMMY_DATASET_DIR,
'velodyne_points', 'data', '0000000000.pcd'))
pcd2 = osp.abspath(osp.join(DUMMY_DATASET_DIR,
'velodyne_points', 'data', '0000000001.pcd'))
pcd3 = osp.abspath(osp.join(DUMMY_DATASET_DIR,
'velodyne_points', 'data', '0000000002.pcd'))
image1 = osp.abspath(osp.join(DUMMY_DATASET_DIR,
'IMAGE_00', 'data', '0000000000.png'))
image2 = osp.abspath(osp.join(DUMMY_DATASET_DIR,
'IMAGE_00', 'data', '0000000001.png'))
image3 = osp.abspath(osp.join(DUMMY_DATASET_DIR,
'IMAGE_00', 'data', '0000000002.png'))
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def _test_save_and_load(self, source_dataset, converter, test_dir,
target_dataset=None, importer_args=None, **kwargs):
kwargs.setdefault('dimension', Dimensions.dim_3d)
return check_save_and_load(self, source_dataset, converter, test_dir,
importer='kitti_raw', target_dataset=target_dataset,
importer_args=importer_args, **kwargs)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_save_and_load(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000',
annotations=[
Cuboid3d(position=[13.54, -9.41, 0.24], label=0,
attributes={'occluded': False, 'track_id': 1}),
Cuboid3d(position=[3.4, -2.11, 4.4], label=1,
attributes={'occluded': True, 'track_id': 2})
],
point_cloud=self.pcd1, related_images=[self.image1],
attributes={'frame': 0}
),
DatasetItem(id='0000000001',
annotations=[
Cuboid3d(position=[1.4, 2.1, 1.4], label=1,
attributes={'track_id': 2}),
Cuboid3d(position=[11.4, -0.1, 4.2], scale=[2, 1, 2],
label=0, attributes={'track_id': 3})
],
),
DatasetItem(id='0000000002',
annotations=[
Cuboid3d(position=[0.4, -1, 2.24], scale=[2, 1, 2],
label=0, attributes={'track_id': 3}),
],
point_cloud=self.pcd3,
attributes={'frame': 2}
),
], categories=['cat', 'dog'])
with TestDir() as test_dir:
target_label_cat = LabelCategories(attributes={'occluded'})
target_label_cat.add('cat')
target_label_cat.add('dog')
target_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000',
annotations=[
Cuboid3d(position=[13.54, -9.41, 0.24], label=0,
attributes={
'occluded': False, 'track_id': 1}),
Cuboid3d(position=[3.4, -2.11, 4.4], label=1,
attributes={
'occluded': True, 'track_id': 2})
],
point_cloud=osp.join(test_dir,
'velodyne_points', 'data', '0000000000.pcd'),
related_images=[osp.join(test_dir,
'image_00', 'data', '0000000000.png')
],
attributes={'frame': 0}
),
DatasetItem(id='0000000001',
annotations=[
Cuboid3d(position=[1.4, 2.1, 1.4], label=1,
attributes={'occluded': False, 'track_id': 2}),
Cuboid3d(position=[11.4, -0.1, 4.2], scale=[2, 1, 2],
label=0, attributes={
'occluded': False, 'track_id': 3})
],
attributes={'frame': 1}
),
DatasetItem(id='0000000002',
annotations=[
Cuboid3d(position=[0.4, -1, 2.24], scale=[2, 1, 2],
label=0, attributes={
'occluded': False, 'track_id': 3}),
],
point_cloud=osp.join(test_dir,
'velodyne_points', 'data', '0000000002.pcd'),
attributes={'frame': 2}
),
], categories={AnnotationType.label: target_label_cat})
self._test_save_and_load(source_dataset,
partial(KittiRawConverter.convert, save_images=True),
test_dir, target_dataset=target_dataset,
require_point_cloud=True)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_preserve_frame_ids(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='abc', attributes={'frame': 40})
], categories=[])
with TestDir() as test_dir:
self._test_save_and_load(source_dataset,
KittiRawConverter.convert, test_dir)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_reindex_frames(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='abc')
], categories=[])
expected_dataset = Dataset.from_iterable([
DatasetItem(id='abc', attributes={'frame': 0})
], categories=[])
with TestDir() as test_dir:
self._test_save_and_load(source_dataset,
partial(KittiRawConverter.convert, reindex=True),
test_dir, target_dataset=expected_dataset)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_requires_track_id(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='abc',
annotations=[
Cuboid3d(position=[0.4, -1, 2.24], label=0),
]
)
], categories=['dog'])
with TestDir() as test_dir:
with self.assertRaisesRegex(Exception, 'track_id'):
KittiRawConverter.convert(source_dataset, test_dir)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_reindex_allows_single_annotations(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='abc',
annotations=[
Cuboid3d(position=[0.4, -1, 2.24], label=0),
]
)
], categories=['dog'])
expected_dataset = Dataset.from_iterable([
DatasetItem(id='abc',
annotations=[
Cuboid3d(position=[0.4, -1, 2.24], label=0,
attributes={'track_id': 1, 'occluded': False}),
],
attributes={'frame': 0})
], categories=['dog'])
with TestDir() as test_dir:
self._test_save_and_load(source_dataset,
partial(KittiRawConverter.convert, reindex=True),
test_dir, target_dataset=expected_dataset)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_save_and_load_attributes(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000',
annotations=[
Cuboid3d(position=[13.54, -9.41, 0.24], label=0,
attributes={'track_id': 1,
'occluded': True, 'a': 'w', 'b': 5})
],
attributes={'frame': 0}
)
], categories=['cat'])
target_label_cat = LabelCategories(attributes={'occluded'})
target_label_cat.add('cat', attributes=['a', 'b'])
target_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000',
annotations=[
Cuboid3d(position=[13.54, -9.41, 0.24], label=0,
attributes={'track_id': 1,
'occluded': True, 'a': 'w', 'b': 5})
],
attributes={'frame': 0}
)
], categories={AnnotationType.label: target_label_cat})
with TestDir() as test_dir:
self._test_save_and_load(source_dataset,
partial(KittiRawConverter.convert, allow_attrs=True),
test_dir, target_dataset=target_dataset)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_discard_attributes(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000',
annotations=[
Cuboid3d(position=[13.54, -9.41, 0.24], label=0,
attributes={'track_id': 1, 'a': 'w', 'b': 5})
],
attributes={'frame': 0}
)
], categories=['cat'])
target_label_cat = LabelCategories(attributes={'occluded'})
target_label_cat.add('cat')
target_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000',
annotations=[
Cuboid3d(position=[13.54, -9.41, 0.24], label=0,
attributes={'track_id': 1, 'occluded': False})
],
attributes={'frame': 0}
)
], categories={AnnotationType.label: target_label_cat})
with TestDir() as test_dir:
self._test_save_and_load(source_dataset,
KittiRawConverter.convert,
test_dir, target_dataset=target_dataset)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_save_and_load_without_annotations(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000', attributes={'frame': 0})
], categories=[])
with TestDir() as test_dir:
self._test_save_and_load(source_dataset,
KittiRawConverter.convert, test_dir)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_save_and_load_arbitrary_paths(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='a/d',
annotations=[
Cuboid3d(position=[1, 2, 3], label=0,
attributes={'track_id': 1})
],
point_cloud=self.pcd1, related_images=[self.image1],
attributes={'frame': 3}
),
], categories=['cat'])
with TestDir() as test_dir:
target_label_cat = LabelCategories(attributes={'occluded'})
target_label_cat.add('cat')
target_dataset = Dataset.from_iterable([
DatasetItem(id='a/d',
annotations=[
Cuboid3d(position=[1, 2, 3], label=0,
attributes={'track_id': 1, 'occluded': False})
],
point_cloud=osp.join(test_dir,
'velodyne_points', 'data', 'a', 'd.pcd'),
related_images=[
osp.join(test_dir, 'image_00', 'data', 'a', 'd.png'),
],
attributes={'frame': 3}
),
], categories={AnnotationType.label: target_label_cat})
self._test_save_and_load(source_dataset,
partial(KittiRawConverter.convert, save_images=True),
test_dir, target_dataset=target_dataset,
require_point_cloud=True)
self.assertTrue(osp.isfile(osp.join(
test_dir, 'image_00', 'data', 'a', 'd.png')))
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_save_and_load_multiple_related_images(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='a/d',
annotations=[
Cuboid3d(position=[1, 2, 3], label=0,
attributes={'track_id': 1})
],
point_cloud=self.pcd1,
related_images=[self.image1, self.image2, self.image3],
attributes={'frame': 3}
),
], categories=['cat'])
with TestDir() as test_dir:
target_label_cat = LabelCategories(attributes={'occluded'})
target_label_cat.add('cat')
target_dataset = Dataset.from_iterable([
DatasetItem(id='a/d',
annotations=[
Cuboid3d(position=[1, 2, 3], label=0,
attributes={'track_id': 1, 'occluded': False})
],
point_cloud=osp.join(test_dir,
'velodyne_points', 'data', 'a', 'd.pcd'),
related_images=[
osp.join(test_dir, 'image_00', 'data', 'a', 'd.png'),
osp.join(test_dir, 'image_01', 'data', 'a', 'd.png'),
osp.join(test_dir, 'image_02', 'data', 'a', 'd.png'),
],
attributes={'frame': 3}
),
], categories={AnnotationType.label: target_label_cat})
self._test_save_and_load(source_dataset,
partial(KittiRawConverter.convert, save_images=True),
test_dir, target_dataset=target_dataset,
require_point_cloud=True)
self.assertTrue(osp.isfile(osp.join(
test_dir, 'image_00', 'data', 'a', 'd.png')))
self.assertTrue(osp.isfile(osp.join(
test_dir, 'image_01', 'data', 'a', 'd.png')))
self.assertTrue(osp.isfile(osp.join(
test_dir, 'image_02', 'data', 'a', 'd.png')))
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_inplace_save_writes_only_updated_data(self):
with TestDir() as path:
dataset = Dataset.from_iterable([
DatasetItem(id='frame1',
annotations=[
Cuboid3d(position=[3.5, 9.8, 0.3], label=0,
attributes={'track_id': 1})
],
point_cloud=self.pcd1, related_images=[self.image1],
attributes={'frame': 0}
)
], categories=['car', 'bus'])
dataset.export(path, 'kitti_raw', save_images=True)
dataset.put(DatasetItem('frame2',
annotations=[
Cuboid3d(position=[1, 2, 0], label=1,
attributes={'track_id': 1})
],
point_cloud=self.pcd2, related_images=[self.image2],
attributes={'frame': 1}
))
dataset.remove('frame1')
dataset.save(save_images=True)
self.assertEqual({'frame2.png'}, set(os.listdir(
osp.join(path, 'image_00', 'data'))))
self.assertEqual({'frame2.pcd'}, set(os.listdir(
osp.join(path, 'velodyne_points', 'data'))))
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_can_save_and_load_with_meta_file(self):
source_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000',
annotations=[
Cuboid3d(position=[13.54, -9.41, 0.24], label=0,
attributes={'occluded': False, 'track_id': 1})
],
point_cloud=self.pcd1, related_images=[self.image1],
attributes={'frame': 0}
),
DatasetItem(id='0000000001',
annotations=[
Cuboid3d(position=[1.4, 2.1, 1.4], label=1,
attributes={'track_id': 2})
],
)
], categories=['cat', 'dog'])
with TestDir() as test_dir:
target_label_cat = LabelCategories(attributes={'occluded'})
target_label_cat.add('cat')
target_label_cat.add('dog')
target_dataset = Dataset.from_iterable([
DatasetItem(id='0000000000',
annotations=[
Cuboid3d(position=[13.54, -9.41, 0.24], label=0,
attributes={
'occluded': False, 'track_id': 1})
],
point_cloud=osp.join(test_dir,
'velodyne_points', 'data', '0000000000.pcd'),
related_images=[osp.join(test_dir,
'image_00', 'data', '0000000000.png')
],
attributes={'frame': 0}
),
DatasetItem(id='0000000001',
annotations=[
Cuboid3d(position=[1.4, 2.1, 1.4], label=1,
attributes={'occluded': False, 'track_id': 2})
],
attributes={'frame': 1}
)
], categories={AnnotationType.label: target_label_cat})
self._test_save_and_load(source_dataset,
partial(KittiRawConverter.convert, save_images=True,
save_dataset_meta=True),
test_dir, target_dataset=target_dataset,
require_point_cloud=True)
self.assertTrue(osp.isfile(osp.join(test_dir, 'dataset_meta.json')))
| 41.543086 | 80 | 0.530198 | 2,042 | 20,730 | 5.145935 | 0.087169 | 0.026646 | 0.066806 | 0.05196 | 0.826418 | 0.814617 | 0.79311 | 0.782832 | 0.762276 | 0.701275 | 0 | 0.058663 | 0.346261 | 20,730 | 498 | 81 | 41.626506 | 0.716721 | 0 | 0 | 0.650575 | 0 | 0 | 0.082972 | 0 | 0 | 0 | 0 | 0 | 0.02069 | 1 | 0.034483 | false | 0 | 0.041379 | 0 | 0.096552 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
e1cc2d21f7473a01048b023c23f4cc47612c61e7 | 28,877 | py | Python | sdk/digitaltwins/azure-digitaltwins-core/tests/test_digital_twins_async.py | adewaleo/azure-sdk-for-python | 169457edbea5e3c5557246cfcf8bd635d528bae4 | [
"MIT"
] | null | null | null | sdk/digitaltwins/azure-digitaltwins-core/tests/test_digital_twins_async.py | adewaleo/azure-sdk-for-python | 169457edbea5e3c5557246cfcf8bd635d528bae4 | [
"MIT"
] | null | null | null | sdk/digitaltwins/azure-digitaltwins-core/tests/test_digital_twins_async.py | adewaleo/azure-sdk-for-python | 169457edbea5e3c5557246cfcf8bd635d528bae4 | [
"MIT"
] | null | null | null | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See LICENSE.txt in the project root for
# license information.
# -------------------------------------------------------------------------
from os import pathsep
import pytest
import uuid
from devtools_testutils import AzureTestCase
from _preparer import DigitalTwinsRGPreparer, DigitalTwinsPreparer
from azure.digitaltwins.core.aio import DigitalTwinsClient
from azure.core import MatchConditions
from azure.core.exceptions import (
ResourceNotFoundError,
HttpResponseError,
ResourceExistsError,
ResourceModifiedError,
ResourceNotModifiedError
)
class DigitalTwinsTestsAsync(AzureTestCase):
def _get_client(self, endpoint, **kwargs):
credential = self.get_credential(DigitalTwinsClient, is_async=True)
return self.create_client_from_credential(
DigitalTwinsClient,
credential,
endpoint=endpoint,
**kwargs)
async def _set_up_models(self, client, old_id=None):
dtdl_model_building = {
"@id": "dtmi:samples:Building;1",
"@type": "Interface",
"@context": "dtmi:dtdl:context;2",
"displayName": "Building",
"contents": [
{
"@type": "Relationship",
"name": "has",
"target": "dtmi:samples:Floor;1",
"properties": [
{
"@type": "Property",
"name": "isAccessRestricted",
"schema": "boolean"
}
]
},
{
"@type": "Relationship",
"name": "isEquippedWith",
"target": "dtmi:samples:HVAC;1"
},
{
"@type": "Property",
"name": "AverageTemperature",
"schema": "double"
},
{
"@type": "Property",
"name": "TemperatureUnit",
"schema": "string"
}
]
}
try:
await client.create_models([dtdl_model_building])
except ResourceExistsError:
pass
if old_id:
try:
await client.delete_digital_twin(old_id)
except ResourceNotFoundError:
pass
return "dtmi:samples:Building;1"
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_create_simple_digitaltwin_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
created_twin = await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
assert created_twin["AverageTemperature"] == dtdl_digital_twins_building_twin["AverageTemperature"]
assert created_twin.get('$etag')
assert created_twin.get('$dtId') == digital_twin_id
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_create_digitaltwin_without_model_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;2"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
with pytest.raises(HttpResponseError):
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_create_invalid_digitaltwin_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"LowestTemperature": 68,
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
with pytest.raises(HttpResponseError):
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_create_digitaltwin_conditionally_if_missing_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client, old_id=digital_twin_id)
created_twin = await client.upsert_digital_twin(
digital_twin_id,
dtdl_digital_twins_building_twin,
match_condition=MatchConditions.IfMissing)
assert created_twin.get('$dtId') == digital_twin_id
with pytest.raises(ResourceExistsError):
await client.upsert_digital_twin(
digital_twin_id,
dtdl_digital_twins_building_twin,
match_condition=MatchConditions.IfMissing)
@pytest.mark.skip("Conditional etag does not appear to be supported")
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_create_digitaltwin_conditionally_if_modified_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client, old_id=digital_twin_id)
created_twin = await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
assert created_twin.get('$dtId') == digital_twin_id
with pytest.raises(ResourceNotModifiedError):
await client.upsert_digital_twin(
digital_twin_id,
dtdl_digital_twins_building_twin,
match_condition=MatchConditions.IfModified,
etag=created_twin.get('$etag'))
dtdl_digital_twins_building_twin["AverageTemperature"] = 69
updated_twin = await client.upsert_digital_twin(
digital_twin_id,
dtdl_digital_twins_building_twin,
match_condition=MatchConditions.IfModified,
etag='W/"7e67a355-f19c-4c19-8a10-2d69b2d2253f"')
assert created_twin.get('$dtId') == updated_twin.get('$dtId')
assert created_twin["AverageTemperature"] != updated_twin["AverageTemperature"]
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_upsert_simple_digitaltwin_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
created_twin = await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
assert created_twin.get('$dtId') == digital_twin_id
dtdl_digital_twins_building_twin["AverageTemperature"] = 69
upserted_twin = await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
assert created_twin.get('$dtId') == upserted_twin.get('$dtId')
assert created_twin["AverageTemperature"] != upserted_twin["AverageTemperature"]
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_upsert_digitaltwin_invalid_conditions_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
with pytest.raises(ValueError):
await client.upsert_digital_twin(
digital_twin_id,
dtdl_digital_twins_building_twin,
match_condition=MatchConditions.IfMissing,
etag='etag-value')
with pytest.raises(ValueError):
await client.upsert_digital_twin(
digital_twin_id,
dtdl_digital_twins_building_twin,
match_condition=MatchConditions.IfModified)
with pytest.raises(ValueError):
await client.upsert_digital_twin(
digital_twin_id,
dtdl_digital_twins_building_twin,
match_condition=MatchConditions.IfNotModified,
etag='etag-value')
with pytest.raises(ValueError):
await client.upsert_digital_twin(
digital_twin_id,
dtdl_digital_twins_building_twin,
match_condition=MatchConditions.IfPresent)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_get_digitaltwin_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
created_twin = await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
twin = await client.get_digital_twin(digital_twin_id)
assert twin == created_twin
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_get_digitaltwin_not_existing_async(self, resource_group, location, digitaltwin):
client = self._get_client(digitaltwin.host_name)
with pytest.raises(ResourceNotFoundError):
await client.get_digital_twin(self.create_random_name('digitalTwin-'))
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_delete_digitaltwin_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
deleted = await client.delete_digital_twin(digital_twin_id)
assert deleted is None
with pytest.raises(ResourceNotFoundError):
await client.get_digital_twin(digital_twin_id)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_delete_digitaltwin_not_existing_async(self, resource_group, location, digitaltwin):
client = self._get_client(digitaltwin.host_name)
with pytest.raises(ResourceNotFoundError):
await client.delete_digital_twin(self.create_random_name('digitalTwin-'))
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_delete_digitaltwin_conditionally_if_not_modified_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
created_twin = await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
with pytest.raises(ResourceModifiedError):
await client.delete_digital_twin(
digital_twin_id,
match_condition=MatchConditions.IfNotModified,
etag='W/"7e67a355-f19c-4c19-8a10-2d69b2d2253f"')
deleted = await client.delete_digital_twin(
digital_twin_id,
match_condition=MatchConditions.IfNotModified,
etag=created_twin['$etag'])
assert deleted is None
with pytest.raises(ResourceNotFoundError):
await client.get_digital_twin(digital_twin_id)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_delete_digitaltwin_conditionally_if_present_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
deleted = await client.delete_digital_twin(
digital_twin_id,
match_condition=MatchConditions.IfPresent)
assert deleted is None
with pytest.raises(ResourceNotFoundError):
await client.get_digital_twin(digital_twin_id)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_delete_digitaltwin_invalid_conditions_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
client = self._get_client(digitaltwin.host_name)
with pytest.raises(ValueError):
await client.delete_digital_twin(
digital_twin_id,
match_condition=MatchConditions.IfPresent,
etag='etag-value')
with pytest.raises(ValueError):
await client.delete_digital_twin(
digital_twin_id,
match_condition=MatchConditions.IfNotModified)
with pytest.raises(ValueError):
await client.delete_digital_twin(
digital_twin_id,
match_condition=MatchConditions.IfModified,
etag='etag-value')
with pytest.raises(ValueError):
await client.delete_digital_twin(
digital_twin_id,
match_condition=MatchConditions.IfMissing)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_update_digitaltwin_replace_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
created_twin = await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
assert created_twin['AverageTemperature'] == 68
patch = [
{
"op": "replace",
"path": "/AverageTemperature",
"value": 42
}
]
update = await client.update_digital_twin(digital_twin_id, patch)
assert update is None
updated_twin = await client.get_digital_twin(digital_twin_id)
assert updated_twin['AverageTemperature'] == 42
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_update_digitaltwin_remove_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
patch = [
{
"op": "remove",
"path": "/AverageTemperature",
}
]
update = await client.update_digital_twin(digital_twin_id, patch)
assert update is None
updated_twin = await client.get_digital_twin(digital_twin_id)
assert 'AverageTemperature' not in updated_twin
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_update_digitaltwin_add_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
patch = [
{
"op": "add",
"path": "/TemperatureUnit",
"value": "Celsius"
}
]
update = await client.update_digital_twin(digital_twin_id, patch)
assert update is None
updated_twin = await client.get_digital_twin(digital_twin_id)
assert updated_twin['TemperatureUnit'] == "Celsius"
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_update_digitaltwin_multiple_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
patch = [
{
"op": "add",
"path": "/TemperatureUnit",
"value": "Celsius"
},
{
"op": "replace",
"path": "/AverageTemperature",
"value": 42
}
]
update = await client.update_digital_twin(digital_twin_id, patch)
assert update is None
updated_twin = await client.get_digital_twin(digital_twin_id)
assert updated_twin['TemperatureUnit'] == "Celsius"
assert updated_twin['AverageTemperature'] == 42
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_update_digitaltwin_invalid_patch_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
patch = [
{
"op": "move",
"path": "/AverageTemperature",
"value": 42
}
]
with pytest.raises(HttpResponseError):
await client.update_digital_twin(digital_twin_id, patch)
patch = {
"AverageTemperature": 42
}
with pytest.raises(HttpResponseError):
await client.update_digital_twin(digital_twin_id, patch)
patch = [{}]
with pytest.raises(HttpResponseError):
await client.upsert_digital_twin(digital_twin_id, patch)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_update_digitaltwin_conditionally_if_not_match_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
created_twin = await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
patch = [
{
"op": "replace",
"path": "/AverageTemperature",
"value": 42
}
]
with pytest.raises(ResourceModifiedError):
await client.update_digital_twin(
digital_twin_id,
patch,
match_condition=MatchConditions.IfNotModified,
etag='W/"7e67a355-f19c-4c19-8a10-2d69b2d2253f"')
await client.update_digital_twin(
digital_twin_id,
patch,
match_condition=MatchConditions.IfNotModified,
etag=created_twin['$etag'])
updated = await client.get_digital_twin(digital_twin_id)
assert updated['AverageTemperature'] == 42
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_update_digitaltwin_conditionally_if_present_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await self._set_up_models(client)
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
patch = [
{
"op": "replace",
"path": "/AverageTemperature",
"value": 42
}
]
await client.update_digital_twin(
digital_twin_id,
patch,
match_condition=MatchConditions.IfPresent)
updated = await client.get_digital_twin(digital_twin_id)
assert updated['AverageTemperature'] == 42
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_update_digitaltwin_invalid_conditions_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
client = self._get_client(digitaltwin.host_name)
patch = [
{
"op": "replace",
"path": "/AverageTemperature",
"value": 42
}
]
with pytest.raises(ValueError):
await client.update_digital_twin(
digital_twin_id,
patch,
match_condition=MatchConditions.IfPresent,
etag='etag-value')
with pytest.raises(ValueError):
await client.update_digital_twin(
digital_twin_id,
patch,
match_condition=MatchConditions.IfNotModified)
with pytest.raises(ValueError):
await client.update_digital_twin(
digital_twin_id,
patch,
match_condition=MatchConditions.IfModified,
etag='etag-value')
with pytest.raises(ValueError):
await client.update_digital_twin(
digital_twin_id,
patch,
match_condition=MatchConditions.IfMissing)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_update_digitaltwin_not_existing_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
patch = [
{
"op": "replace",
"path": "/Property1",
"value": 42
}
]
client = self._get_client(digitaltwin.host_name)
with pytest.raises(ResourceNotFoundError):
await client.update_digital_twin(digital_twin_id, patch)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_query_digitaltwins_async(self, resource_group, location, digitaltwin):
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68,
"TemperatureUnit": "Celsius"
}
client = self._get_client(digitaltwin.host_name)
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
dt_ids = []
async for t in client.query_twins('SELECT * FROM digitaltwins'):
dt_ids.append(t["$dtId"])
assert digital_twin_id in dt_ids
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_query_digitaltwins_invalid_expression_async(self, resource_group, location, digitaltwin):
client = self._get_client(digitaltwin.host_name)
with pytest.raises(HttpResponseError):
async for t in client.query_twins("foo"):
print(t)
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_publish_telemetry(self, resource_group, location, digitaltwin):
# TODO: How to validate this test? It seems to pass regardless
telemetry = {"ComponentTelemetry1": 5}
digital_twin_id = self.create_random_name('digitalTwin-')
dtdl_digital_twins_building_twin = {
"$metadata": {
"$model": "dtmi:samples:Building;1"
},
"AverageTemperature": 68
}
client = self._get_client(digitaltwin.host_name)
await client.upsert_digital_twin(digital_twin_id, dtdl_digital_twins_building_twin)
published = await client.publish_telemetry(digital_twin_id, telemetry)
assert published is None
@DigitalTwinsRGPreparer(name_prefix="dttest")
@DigitalTwinsPreparer(name_prefix="dttest")
async def test_publish_telemetry_not_existing(self, resource_group, location, digitaltwin):
telemetry = {"ComponentTelemetry1": 5}
client = self._get_client(digitaltwin.host_name)
with pytest.raises(ResourceNotFoundError):
await client.publish_telemetry("foo", telemetry)
| 41.669553 | 119 | 0.635939 | 2,774 | 28,877 | 6.265681 | 0.067772 | 0.097463 | 0.068063 | 0.075945 | 0.887866 | 0.879639 | 0.873655 | 0.857603 | 0.852885 | 0.851735 | 0 | 0.007875 | 0.270042 | 28,877 | 692 | 120 | 41.729769 | 0.81669 | 0.012432 | 0 | 0.684295 | 0 | 0 | 0.12276 | 0.021956 | 0 | 0 | 0 | 0.001445 | 0.044872 | 1 | 0.001603 | false | 0.003205 | 0.012821 | 0 | 0.019231 | 0.001603 | 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 |
becd23a8db106f4d3facb5e1bca301195ace166d | 38 | py | Python | perke/unsupervised/__init__.py | AlirezaH320/perke | df9eaf69af335e34dd7493450e5a59afb2a89789 | [
"MIT"
] | 51 | 2021-03-25T17:37:44.000Z | 2021-08-28T09:19:36.000Z | perke/unsupervised/__init__.py | AlirezaTheH/perke | df9eaf69af335e34dd7493450e5a59afb2a89789 | [
"MIT"
] | null | null | null | perke/unsupervised/__init__.py | AlirezaTheH/perke | df9eaf69af335e34dd7493450e5a59afb2a89789 | [
"MIT"
] | 5 | 2021-11-20T07:26:17.000Z | 2022-03-26T11:14:29.000Z | import perke.unsupervised.graph_based
| 19 | 37 | 0.894737 | 5 | 38 | 6.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052632 | 38 | 1 | 38 | 38 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
bedc0872338c1c75d1d526e3bb6615974b6cd472 | 459 | py | Python | tests/test_package.py | holzman/hgg-coffea | 5aabdb127edaa15b0f22d54f0e3ccdc74c5c10de | [
"BSD-3-Clause"
] | 3 | 2021-07-22T07:02:03.000Z | 2021-09-22T07:01:59.000Z | tests/test_package.py | holzman/hgg-coffea | 5aabdb127edaa15b0f22d54f0e3ccdc74c5c10de | [
"BSD-3-Clause"
] | 2 | 2021-08-16T16:08:09.000Z | 2021-11-12T00:41:50.000Z | tests/test_package.py | holzman/hgg-coffea | 5aabdb127edaa15b0f22d54f0e3ccdc74c5c10de | [
"BSD-3-Clause"
] | 8 | 2021-07-22T07:49:19.000Z | 2022-01-26T22:58:03.000Z | import hgg_coffea as m
def test_version():
assert m.__version__
def test_tools_subpackage():
from hgg_coffea.tools import chained_quantile # noqa
from hgg_coffea.tools import diphoton_mva # noqa
from hgg_coffea.tools import photonid_mva # noqa
from hgg_coffea.tools import xgb_loader # noqa
def test_workflows_subpackage():
from hgg_coffea.workflows import base # noqa
from hgg_coffea.workflows import dystudies # noqa
| 25.5 | 57 | 0.760349 | 65 | 459 | 5.061538 | 0.353846 | 0.191489 | 0.237082 | 0.218845 | 0.516717 | 0.273556 | 0.18845 | 0 | 0 | 0 | 0 | 0 | 0.191721 | 459 | 17 | 58 | 27 | 0.886792 | 0.063181 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.272727 | true | 0 | 0.636364 | 0 | 0.909091 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
bedc7c4b4f1bf406aac473281f10ecaf55f83bde | 31 | py | Python | openexplorer_old/explorer/__init__.py | uibcdf/PELE-OpenMM | 15100f6167ea8f2b5795cc7b90d8c5e852de1f57 | [
"MIT"
] | null | null | null | openexplorer_old/explorer/__init__.py | uibcdf/PELE-OpenMM | 15100f6167ea8f2b5795cc7b90d8c5e852de1f57 | [
"MIT"
] | null | null | null | openexplorer_old/explorer/__init__.py | uibcdf/PELE-OpenMM | 15100f6167ea8f2b5795cc7b90d8c5e852de1f57 | [
"MIT"
] | 1 | 2022-02-15T22:47:28.000Z | 2022-02-15T22:47:28.000Z | from .explorer import Explorer
| 15.5 | 30 | 0.83871 | 4 | 31 | 6.5 | 0.75 | 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 |
8303844040e6b76cfb793fe5575673fbb59ced89 | 233 | py | Python | revolt/ext/commands/__init__.py | Zomatree/revolt.py | 7a37da571ff420056240f10bf7ac59b2716dd548 | [
"MIT"
] | 28 | 2021-08-17T23:25:48.000Z | 2021-12-16T00:13:05.000Z | revolt/ext/commands/__init__.py | Zomatree/revolt.py | 7a37da571ff420056240f10bf7ac59b2716dd548 | [
"MIT"
] | 14 | 2021-08-31T06:00:12.000Z | 2021-12-28T22:59:08.000Z | revolt/ext/commands/__init__.py | Zomatree/revolt.py | 7a37da571ff420056240f10bf7ac59b2716dd548 | [
"MIT"
] | 12 | 2021-08-18T00:55:53.000Z | 2021-11-20T16:58:18.000Z | from .checks import *
from .client import *
from .command import *
from .context import *
from .errors import *
from .converters import IntConverter, BoolConverter, CategoryConverter, UserConverter, MemberConverter, ChannelConverter
| 33.285714 | 120 | 0.806867 | 24 | 233 | 7.833333 | 0.583333 | 0.265957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.124464 | 233 | 6 | 121 | 38.833333 | 0.921569 | 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 |
831381171b9ba311210be7aa3a0897b2cc122b3d | 43 | py | Python | codebase/data/__init__.py | afperezm/acoustic-images-distillation | 5a976497648e77e3a963aee9b7b60172e5253c61 | [
"MIT"
] | 17 | 2019-04-18T08:10:30.000Z | 2021-04-16T03:14:29.000Z | codebase/data/__init__.py | afperezm/acoustic-images-distillation | 5a976497648e77e3a963aee9b7b60172e5253c61 | [
"MIT"
] | 5 | 2020-01-28T22:10:45.000Z | 2022-02-09T23:29:39.000Z | codebase/data/__init__.py | afperezm/acoustic-images-distillation | 5a976497648e77e3a963aee9b7b60172e5253c61 | [
"MIT"
] | 2 | 2019-05-28T08:32:25.000Z | 2020-12-06T23:53:09.000Z | from actions_data import ActionsDataLoader
| 21.5 | 42 | 0.906977 | 5 | 43 | 7.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093023 | 43 | 1 | 43 | 43 | 0.974359 | 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 |
831c267a10d68ede8826dc789a397fabf46bd8cb | 40,982 | py | Python | FusionIIIT/applications/programme_curriculum/views.py | sabhishekpratap5/sonarcubeTest2 | 9bd8105e457f6feb8c38fa94b335e54783fca99e | [
"bzip2-1.0.6"
] | null | null | null | FusionIIIT/applications/programme_curriculum/views.py | sabhishekpratap5/sonarcubeTest2 | 9bd8105e457f6feb8c38fa94b335e54783fca99e | [
"bzip2-1.0.6"
] | 1 | 2021-05-05T09:50:22.000Z | 2021-05-05T09:50:22.000Z | FusionIIIT/applications/programme_curriculum/views.py | sabhishekpratap5/sonarcubeTest2 | 9bd8105e457f6feb8c38fa94b335e54783fca99e | [
"bzip2-1.0.6"
] | 2 | 2021-05-01T19:06:08.000Z | 2021-05-07T15:06:17.000Z | from django.db.models.query_utils import Q
from django.http import request
from django.shortcuts import get_object_or_404, render, HttpResponse
from django.http import HttpResponse, HttpResponseRedirect
import itertools
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from .models import Programme, Discipline, Curriculum, Semester, Course, Batch, CourseSlot
from .forms import ProgrammeForm, DisciplineForm, CurriculumForm, SemesterForm, CourseForm, BatchForm, CourseSlotForm, ReplicateCurriculumForm
from .filters import CourseFilter, BatchFilter, CurriculumFilter
# from applications.academic_information.models import Student
from applications.globals.models import (DepartmentInfo, Designation,
ExtraInfo, Faculty, HoldsDesignation)
# ------------module-functions---------------#
@login_required(login_url='/accounts/login')
def programme_curriculum(request):
"""
This function is used to Differenciate acadadmin and all other user.
@param:
request - contains metadata about the requested page
@variables:
user_details - Gets the information about the logged in user.
des - Gets the designation about the looged in user.
"""
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
return HttpResponseRedirect('/programme_curriculum/admin_programmes')
return HttpResponseRedirect('/programme_curriculum/programmes/')
# ------------all-user-functions---------------#
def view_all_programmes(request):
"""
This function is used to display all the programmes offered by the institute.
@variables:
ug - UG programmes
pg - PG programmes
phd - PHD programmes
"""
ug = Programme.objects.filter(category='UG')
pg = Programme.objects.filter(category='PG')
phd = Programme.objects.filter(category='PHD')
return render(request, 'programme_curriculum/view_all_programmes.html', {'ug': ug, 'pg': pg, 'phd': phd})
def view_curriculums_of_a_programme(request, programme_id):
"""
This function is used to Display Curriculum of a specific Programmes.
@param:
programme_id - Id of a specific programme
@variables:
curriculums - Curriculums of a specific programmes
batches - List of batches for curriculums
working_curriculum - Curriculums that are affective
past_curriculum - Curriculums thet are obsolete
"""
program = Programme.objects.get(id=programme_id)
curriculums = program.curriculums
curriculumfilter = CurriculumFilter(request.GET, queryset=curriculums)
curriculums = curriculumfilter.qs
working_curriculums = curriculums.filter(working_curriculum=1)
past_curriculums = curriculums.filter(working_curriculum=0)
return render(request,'programme_curriculum/view_curriculums_of_a_programme.html', {'program': program, 'past_curriculums': past_curriculums, 'working_curriculums': working_curriculums, 'curriculumfilter': curriculumfilter})
def view_all_working_curriculums(request):
""" views all the working curriculums offered by the institute """
curriculums = Curriculum.objects.filter(working_curriculum=1)
curriculumfilter = CurriculumFilter(request.GET, queryset=curriculums)
curriculums = curriculumfilter.qs
return render(request,'programme_curriculum/view_all_working_curriculums.html',{'curriculums':curriculums, 'curriculumfilter': curriculumfilter})
def view_semesters_of_a_curriculum(request, curriculum_id):
"""
This function is used to Display all Semester of a Curriculum.
@param:
curriculum_id - Id of a specific curriculum
@variables:
transpose_semester_slots - semester_slots 2D list is transpose for viewing in HTML <table>.
semester_credits - Total Credits for each semester.
"""
curriculum = Curriculum.objects.get(id=curriculum_id)
semesters = curriculum.semesters
semester_slots = []
for sem in semesters:
a = list(sem.courseslots)
semester_slots.append(a)
max_length = 0
for course_slots in semester_slots:
max_length = max(max_length, len(course_slots))
for course_slots in semester_slots:
course_slots += [""] * (max_length - len(course_slots))
semester_credits = []
for semester in semesters:
credits_sum = 0
for course_slot in semester.courseslots:
max_credit = 0
courses = course_slot.courses.all()
for course in courses:
max_credit = max(max_credit, course.credit)
credits_sum = credits_sum + max_credit
semester_credits.append(credits_sum)
print (semester_credits)
transpose_semester_slots = list(zip(*semester_slots))
return render(request, 'programme_curriculum/view_semesters_of_a_curriculum.html', {'curriculum': curriculum, 'semesters': semesters, 'semester_slots': transpose_semester_slots, 'semester_credits': semester_credits})
def view_a_semester_of_a_curriculum(request, semester_id):
""" views a specfic semester of a specfic curriculum """
semester = Semester.objects.get(id=semester_id)
course_slots = semester.courseslots
return render(request, 'programme_curriculum/view_a_semester_of_a_curriculum.html', {'semester': semester, 'course_slots': course_slots})
def view_a_courseslot(request, courseslot_id):
""" view a course slot """
course_slot = CourseSlot.objects.get(id=courseslot_id)
return render(request, 'programme_curriculum/view_a_courseslot.html', {'course_slot': course_slot})
def view_all_courses(request):
""" views all the course slots of a specfic semester """
courses = Course.objects.all()
coursefilter = CourseFilter(request.GET, queryset=courses)
courses = coursefilter.qs
return render(request, 'programme_curriculum/view_all_courses.html', {'courses': courses, 'coursefilter': coursefilter})
def view_a_course(request, course_id):
""" views the details of a Course """
course = Course.objects.get(id=course_id)
return render(request, 'programme_curriculum/view_a_course.html', {'course': course})
def view_all_discplines(request):
""" views the details of a Course """
disciplines = Discipline.objects.all()
return render(request, 'programme_curriculum/view_all_disciplines.html', {'disciplines': disciplines})
def view_all_batches(request):
""" views the details of a Course """
batches = Batch.objects.all()
batchfilter = BatchFilter(request.GET, queryset=batches)
batches = batchfilter.qs
finished_batches = batches.filter(running_batch=False)
batches = batches.filter(running_batch=True)
return render(request, 'programme_curriculum/view_all_batches.html', {'batches': batches, 'finished_batches': finished_batches, 'batchfilter': batchfilter})
# ------------Acad-Admin-functions---------------#
@login_required(login_url='/accounts/login')
def admin_view_all_programmes(request):
"""
This function is used to display all the programmes offered by the institute.
@variables:
ug - UG programmes
pg - PG programmes
phd - PHD programmes
"""
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
ug = Programme.objects.filter(category='UG')
pg = Programme.objects.filter(category='PG')
phd = Programme.objects.filter(category='PHD')
return render(request, 'programme_curriculum/acad_admin/admin_view_all_programmes.html', {'ug': ug, 'pg': pg, "phd": phd})
@login_required(login_url='/accounts/login')
def admin_view_curriculums_of_a_programme(request, programme_id):
"""
This function is used to Display Curriculum of a specific Programmes.
@param:
programme_id - Id of a specific programme
@variables:
curriculums - Curriculums of a specific programmes
batches - List of batches for curriculums
working_curriculum - Curriculums that are affective
past_curriculum - Curriculums thet are obsolete
"""
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
program = Programme.objects.get(id=programme_id)
curriculums = program.curriculums
curriculumfilter = CurriculumFilter(request.GET, queryset=curriculums)
curriculums = curriculumfilter.qs
working_curriculums = curriculums.filter(working_curriculum=1)
past_curriculums = curriculums.filter(working_curriculum=0)
return render(request,'programme_curriculum/acad_admin/admin_view_curriculums_of_a_programme.html', {'program': program, 'past_curriculums': past_curriculums, 'working_curriculums': working_curriculums, 'curriculumfilter': curriculumfilter})
@login_required(login_url='/accounts/login')
def admin_view_all_working_curriculums(request):
""" views all the working curriculums offered by the institute """
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
curriculums = Curriculum.objects.filter(working_curriculum=1)
curriculumfilter = CurriculumFilter(request.GET, queryset=curriculums)
curriculums = curriculumfilter.qs
return render(request,'programme_curriculum/acad_admin/admin_view_all_working_curriculums.html',{'curriculums':curriculums, 'curriculumfilter': curriculumfilter})
@login_required(login_url='/accounts/login')
def admin_view_semesters_of_a_curriculum(request, curriculum_id):
""" gets all the semesters of a specfic curriculum """
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
curriculum = Curriculum.objects.get(id=curriculum_id)
semesters = curriculum.semesters
semester_slots = []
for sem in semesters:
a = list(sem.courseslots)
semester_slots.append(a)
max_length = 0
for course_slots in semester_slots:
max_length = max(max_length, len(course_slots))
for course_slots in semester_slots:
course_slots += [""] * (max_length - len(course_slots))
semester_credits = []
for semester in semesters:
credits_sum = 0
for course_slot in semester.courseslots:
max_credit = 0
courses = course_slot.courses.all()
for course in courses:
max_credit = max(max_credit, course.credit)
credits_sum = credits_sum + max_credit
semester_credits.append(credits_sum)
print (semester_credits)
transpose_semester_slots = list(zip(*semester_slots))
all_batches = Batch.objects.filter(running_batch=True).exclude(curriculum=curriculum_id)
return render(request, 'programme_curriculum/acad_admin/admin_view_semesters_of_a_curriculum.html', {'curriculum': curriculum, 'semesters': semesters, 'semester_slots': transpose_semester_slots, 'semester_credits': semester_credits, 'all_batches':all_batches})
@login_required(login_url='/accounts/login')
def admin_view_a_semester_of_a_curriculum(request, semester_id):
"""
This function is used to Display all Semester of a Curriculum.
@param:
curriculum_id - Id of a specific curriculum
@variables:
transpose_semester_slots - semester_slots 2D list is transpose for viewing in HTML <table>.
semester_credits - Total Credits for each semester.
"""
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
semester = Semester.objects.get(id=semester_id)
course_slots = semester.courseslots
return render(request, 'programme_curriculum/acad_admin/admin_view_a_semester_of_a_curriculum.html', {'semester': semester, 'course_slots': course_slots})
@login_required(login_url='/accounts/login')
def admin_view_a_courseslot(request, courseslot_id):
""" view a course slot """
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
edit = request.POST.get('edit', -1)
course_slot = CourseSlot.objects.get(id=courseslot_id)
if edit == course_slot.id:
return render(request, 'programme_curriculum/acad_admin/admin_edit_semesters_view_a_courseslot.html', {'course_slot': course_slot})
return render(request, 'programme_curriculum/acad_admin/admin_view_a_courseslot.html', {'course_slot': course_slot})
@login_required(login_url='/accounts/login')
def admin_view_all_courses(request):
""" views all the course slots of a specfic semester """
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
courses = Course.objects.all()
coursefilter = CourseFilter(request.GET, queryset=courses)
courses = coursefilter.qs
return render(request, 'programme_curriculum/acad_admin/admin_view_all_courses.html', {'courses': courses, 'coursefilter': coursefilter})
@login_required(login_url='/accounts/login')
def admin_view_a_course(request, course_id):
""" views the details of a Course """
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
course = Course.objects.get(id=course_id)
return render(request, 'programme_curriculum/acad_admin/admin_view_a_course.html', {'course': course})
@login_required(login_url='/accounts/login')
def admin_view_all_discplines(request):
""" views the details of a Course """
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
disciplines = Discipline.objects.all()
return render(request, 'programme_curriculum/acad_admin/admin_view_all_disciplines.html', {'disciplines': disciplines})
@login_required(login_url='/accounts/login')
def admin_view_all_batches(request):
""" views the details of a Course """
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
batches = Batch.objects.all()
batchfilter = BatchFilter(request.GET, queryset=batches)
batches = batchfilter.qs
finished_batches = batches.filter(running_batch=False)
batches = batches.filter(running_batch=True)
return render(request, 'programme_curriculum/acad_admin/admin_view_all_batches.html', {'batches': batches, 'finished_batches': finished_batches, 'batchfilter': batchfilter})
@login_required(login_url='/accounts/login')
def add_discipline_form(request):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
form = DisciplineForm()
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = DisciplineForm(request.POST)
if form.is_valid():
form.save()
messages.success(request, "Added Discipline successful")
return HttpResponseRedirect('/programme_curriculum/admin_disciplines/')
return render(request, 'programme_curriculum/acad_admin/add_discipline_form.html',{'form':form})
@login_required(login_url='/accounts/login')
def edit_discipline_form(request, discipline_id):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
discipline = Discipline.objects.get(id=discipline_id)
form = DisciplineForm(instance=discipline)
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = DisciplineForm(request.POST, instance=discipline)
if form.is_valid():
form.save()
messages.success(request, "Updated "+ discipline.name +" successful")
return HttpResponseRedirect("/programme_curriculum/admin_disciplines/")
return render(request, 'programme_curriculum/acad_admin/add_discipline_form.html',{'form':form})
@login_required(login_url='/accounts/login')
def add_programme_form(request):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
form = ProgrammeForm()
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = ProgrammeForm(request.POST)
if form.is_valid():
form.save()
programme = Programme.objects.last()
messages.success(request, "Added successful")
return HttpResponseRedirect('/programme_curriculum/admin_curriculums/' + str(programme.id) + '/')
return render(request,'programme_curriculum/acad_admin/add_programme_form.html',{'form':form, 'submitbutton': submitbutton})
@login_required(login_url='/accounts/login')
def edit_programme_form(request, programme_id):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
programme = Programme.objects.get(id=programme_id)
form = ProgrammeForm(instance=programme)
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = ProgrammeForm(request.POST, instance=programme)
if form.is_valid():
form.save()
messages.success(request, "Updated "+ programme.name +" successful")
return HttpResponseRedirect('/programme_curriculum/admin_curriculums/' + str(programme.id) + '/')
return render(request, 'programme_curriculum/acad_admin/add_programme_form.html',{'form':form, 'submitbutton': submitbutton})
@login_required(login_url='/accounts/login')
def add_curriculum_form(request):
"""
This function is used to add Curriculum and Semester into Curriculum and Semester table.
@variables:
no_of_semester - Get number of Semesters from form.
NewSemester - For initializing a new semester.
"""
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
programme_id = request.GET.get('programme_id', -1)
form = CurriculumForm(initial={'programme': programme_id})
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = CurriculumForm(request.POST)
if form.is_valid():
curriculum = form.save(commit=False)
curriculum.save()
no_of_semester = curriculum.no_of_semester
for semester_no in range(1, no_of_semester+1):
NewSemester = Semester(curriculum=curriculum,semester_no=semester_no)
NewSemester.save()
messages.success(request, "Added successful")
return HttpResponseRedirect('/programme_curriculum/admin_curriculum_semesters/' + str(curriculum.id) + '/')
return render(request, 'programme_curriculum/acad_admin/add_curriculum_form.html',{'form':form, 'submitbutton': submitbutton})
@login_required(login_url='/accounts/login')
def edit_curriculum_form(request, curriculum_id):
"""
This function is used to edit Curriculum and Semester into Curriculum and Semester table.
@variables:
no_of_semester - Get number of Semesters from form.
OldSemester - For Removing dropped Semester.
NewSemester - For initializing a new semester.
"""
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
curriculum = Curriculum.objects.get(id=curriculum_id)
form = CurriculumForm(instance=curriculum)
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = CurriculumForm(request.POST, instance=curriculum)
if form.is_valid():
form.save()
no_of_semester = int(form.cleaned_data['no_of_semester'])
old_no_of_semester = Semester.objects.filter(curriculum=curriculum).count()
if(old_no_of_semester != no_of_semester):
if(old_no_of_semester > no_of_semester):
for semester_no in range(no_of_semester+1, old_no_of_semester+1):
try:
OldSemester = Semester.objects.filter(curriculum=curriculum).filter(semester_no=semester_no)
OldSemester.delete()
except:
print("Failed to remove old semester")
elif(old_no_of_semester < no_of_semester):
for semester_no in range(max(1, old_no_of_semester), no_of_semester+1):
try:
NewSemester = Semester(curriculum=curriculum,semester_no=semester_no)
NewSemester.save()
except:
print("Failed to add new semester")
messages.success(request, "Updated "+ curriculum.name +" successful")
return HttpResponseRedirect('/programme_curriculum/admin_curriculum_semesters/' + str(curriculum.id) + '/')
return render(request, 'programme_curriculum/acad_admin/add_curriculum_form.html',{'form':form, 'submitbutton': submitbutton})
@login_required(login_url='/accounts/login')
def add_course_form(request):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
form = CourseForm()
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = CourseForm(request.POST)
if form.is_valid():
form.save()
course = Course.objects.last()
messages.success(request, "Added successful")
return HttpResponseRedirect("/programme_curriculum/admin_course/" + str(course.id) + "/")
return render(request,'programme_curriculum/acad_admin/add_course_form.html',{'form':form})
@login_required(login_url='/accounts/login')
def update_course_form(request, course_id):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
course = Course.objects.get(id=course_id)
form = CourseForm(instance=course)
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = CourseForm(request.POST, instance=course)
if form.is_valid():
form.save()
messages.success(request, "Updated "+ course.name +" successful")
return HttpResponseRedirect("/programme_curriculum/admin_course/" + str(course_id) + "/")
return render(request,'programme_curriculum/acad_admin/add_course_form.html',{'course':course, 'form':form, 'submitbutton': submitbutton})
@login_required(login_url='/accounts/login')
def add_courseslot_form(request):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
curriculum_id = request.GET.get('curriculum_id', -1)
submitbutton= request.POST.get('Submit')
semester_id = request.GET.get('semester_id', -1)
form = CourseSlotForm(initial={'semester': semester_id})
if submitbutton:
if request.method == 'POST':
form = CourseSlotForm(request.POST)
if form.is_valid():
form.save()
courseslot = CourseSlot.objects.last()
messages.success(request, "Added Course Slot successful")
return HttpResponseRedirect('/programme_curriculum/admin_curriculum_semesters/' + str(courseslot.semester.curriculum.id) + '/')
return render(request, 'programme_curriculum/acad_admin/add_courseslot_form.html',{'form':form, 'submitbutton': submitbutton, 'curriculum_id': curriculum_id})
@login_required(login_url='/accounts/login')
def edit_courseslot_form(request, courseslot_id):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
courseslot = CourseSlot.objects.get(id=courseslot_id)
curriculum_id = courseslot.semester.curriculum.id
form = CourseSlotForm(instance=courseslot)
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = CourseSlotForm(request.POST, instance=courseslot)
if form.is_valid():
form.save()
messages.success(request, "Updated "+ str(courseslot.name) +" successful")
return HttpResponseRedirect('/programme_curriculum/admin_curriculum_semesters/' + str(courseslot.semester.curriculum.id) + '/')
return render(request,'programme_curriculum/acad_admin/add_courseslot_form.html',{'courseslot':courseslot, 'form':form, 'submitbutton':submitbutton, 'curriculum_id': curriculum_id})
def delete_courseslot(request, courseslot_id):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
courseslot = CourseSlot.objects.get(id=courseslot_id)
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
courseslotname = courseslot.name
curriculum_id = courseslot.semester.curriculum.id
courseslot.delete()
messages.success(request, "Deleted "+ courseslotname +" successful")
return HttpResponseRedirect('/programme_curriculum/admin_curriculum_semesters/' + str(curriculum_id) + '/')
return render(request, 'programme_curriculum/view_a_courseslot.html', {'course_slot': courseslot})
@login_required(login_url='/accounts/login')
def add_batch_form(request):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
curriculum_id = request.GET.get('curriculum_id', -1)
form = BatchForm(initial={'curriculum': curriculum_id})
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = BatchForm(request.POST)
if form.is_valid():
form.save()
messages.success(request, "Added Batch successful")
return HttpResponseRedirect('/programme_curriculum/admin_batches/')
return render(request, 'programme_curriculum/acad_admin/add_batch_form.html',{'form':form, 'submitbutton': submitbutton})
@login_required(login_url='/accounts/login')
def edit_batch_form(request, batch_id):
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
curriculum_id = request.GET.get('curriculum_id', -1)
batch = Batch.objects.get(id=batch_id)
if curriculum_id != -1:
batch.curriculum = Curriculum.objects.get(id=curriculum_id)
form = BatchForm(instance=batch)
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = BatchForm(request.POST, instance=batch)
if form.is_valid():
form.save()
messages.success(request, "Updated "+ batch.name +" successful")
return HttpResponseRedirect("/programme_curriculum/admin_batches/")
return render(request,'programme_curriculum/acad_admin/add_batch_form.html',{'batch':batch, 'form':form, 'submitbutton':submitbutton})
@login_required(login_url='/accounts/login')
def instigate_semester(request, semester_id):
"""
This function is used to add the semester information.
@variables:
no_of_semester - Get number of Semesters from form.
OldSemester - For Removing dropped Semester.
NewSemester - For initializing a new semester.
"""
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
semester = Semester.objects.get(id=semester_id)
sdate = semester.start_semester
edate = semester.end_semester
isem = semester.instigate_semester
info = semester.semester_info
form = SemesterForm(initial={'start_semester': sdate ,'end_semester': edate ,'instigate_semester': isem , 'semester_info': info, })
curriculum_id = semester.curriculum.id
submitbutton = request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = SemesterForm(request.POST or None)
if form.is_valid():
semester.start_semester = form.cleaned_data['start_semester']
semester.end_semester = form.cleaned_data['end_semester']
semester.instigate_semester = form.cleaned_data['instigate_semester']
semester.semester_info = form.cleaned_data['semester_info']
semester.save()
messages.success(request, "Instigated "+ str(semester) +" successful")
return HttpResponseRedirect('/programme_curriculum/admin_curriculum_semesters/' + str(semester.curriculum.id) + '/')
return render(request,'programme_curriculum/acad_admin/instigate_semester_form.html',{'semester':semester, 'form':form, 'submitbutton':submitbutton, 'curriculum_id':curriculum_id})
@login_required(login_url='/accounts/login')
def replicate_curriculum(request, curriculum_id):
"""
This function is used to replicate the previous curriculum into a new curriculum.
@variables:
no_of_semester - For initializing the next version into a new curriculum.
"""
user_details = ExtraInfo.objects.get(user = request.user)
des = HoldsDesignation.objects.all().filter(user = request.user).first()
if str(des.designation) == "student" or str(des.designation) == "Associate Professor" or str(des.designation) == "Professor" or str(des.designation) == "Assistant Professor" :
return HttpResponseRedirect('/programme_curriculum/programmes/')
elif str(request.user) == "acadadmin" :
pass
old_curriculum = Curriculum.objects.get(id=curriculum_id)
programme = old_curriculum.programme
name = old_curriculum.name
version = int(old_curriculum.version) + 1
working_curriculum = old_curriculum.working_curriculum
no_of_semester = old_curriculum.no_of_semester
form = CurriculumForm(initial={'programme': programme.id,
'name': name,
'version': version,
'working_curriculum': working_curriculum,
'no_of_semester': no_of_semester,
})
submitbutton= request.POST.get('Submit')
if submitbutton:
if request.method == 'POST':
form = CurriculumForm(request.POST)
if form.is_valid():
form.save()
no_of_semester = int(form.cleaned_data['no_of_semester'])
old_semesters = old_curriculum.semesters
curriculum = Curriculum.objects.all().last()
for semester_no in range(1, no_of_semester+1):
NewSemester = Semester(curriculum=curriculum,semester_no=semester_no)
NewSemester.save()
for old_sem in old_semesters:
if old_sem.semester_no == semester_no:
for slot in old_sem.courseslots:
courses = slot.courses.all()
slot.pk = None
slot.semester = NewSemester
slot.save(force_insert=True)
slot.courses.set(courses)
messages.success(request, "Added successful")
return HttpResponseRedirect('/programme_curriculum/admin_curriculum_semesters/' + str(curriculum.id) + '/')
return render(request, 'programme_curriculum/acad_admin/add_curriculum_form.html',{'form':form, 'submitbutton': submitbutton}) | 45.586207 | 264 | 0.686008 | 4,474 | 40,982 | 6.120921 | 0.048502 | 0.022786 | 0.064561 | 0.054117 | 0.86971 | 0.860581 | 0.84057 | 0.837137 | 0.808947 | 0.788023 | 0 | 0.001008 | 0.200893 | 40,982 | 899 | 265 | 45.586207 | 0.835201 | 0.085379 | 0 | 0.681739 | 0 | 0 | 0.194378 | 0.097094 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062609 | false | 0.043478 | 0.02087 | 0 | 0.22087 | 0.006957 | 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 |
834d491441cb32a42c564409f7f2f4132396b733 | 427 | py | Python | SRT/lib/multiview/__init__.py | yerang823/landmark-detection | a01bcf79abcf9d203c1b92f29b49aab9005952c3 | [
"MIT"
] | 612 | 2019-06-01T07:10:57.000Z | 2022-03-30T13:44:41.000Z | SRT/lib/multiview/__init__.py | yerang823/landmark-detection | a01bcf79abcf9d203c1b92f29b49aab9005952c3 | [
"MIT"
] | 67 | 2019-06-06T15:03:02.000Z | 2021-12-17T01:51:14.000Z | SRT/lib/multiview/__init__.py | yerang823/landmark-detection | a01bcf79abcf9d203c1b92f29b49aab9005952c3 | [
"MIT"
] | 121 | 2019-06-01T16:37:23.000Z | 2022-03-27T19:20:28.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#
from .triangulate import GetKRT
from .triangulate import ProjectKRT, TriangulateDLT
from .triangulate import ProjectKRT_Batch
from .triangulate import TriangulateDLT_BatchPoints
from .triangulate import TriangulateDLT_BatchCam
| 32.846154 | 61 | 0.814988 | 55 | 427 | 6.272727 | 0.618182 | 0.217391 | 0.304348 | 0.17971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138173 | 427 | 12 | 62 | 35.583333 | 0.9375 | 0.433255 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8369d9e4b0e3cca69ae4d854e052b6b0855d778f | 238 | py | Python | tf_pose/slidingwindow/__init__.py | kaovilai/tf-pose-estimation | 05f74b91579dbeb823437a302292425948f92021 | [
"Apache-2.0"
] | 5 | 2019-02-13T11:18:42.000Z | 2020-07-11T01:47:19.000Z | tf_pose/slidingwindow/__init__.py | kaovilai/tf-pose-estimation | 05f74b91579dbeb823437a302292425948f92021 | [
"Apache-2.0"
] | null | null | null | tf_pose/slidingwindow/__init__.py | kaovilai/tf-pose-estimation | 05f74b91579dbeb823437a302292425948f92021 | [
"Apache-2.0"
] | 2 | 2019-06-30T07:26:05.000Z | 2020-10-25T07:54:57.000Z | from .SlidingWindow import DimOrder, SlidingWindow, generate, generateForSize
from .WindowDistance import generateDistanceMatrix
from .RectangleUtils import *
from .ArrayUtils import *
from .Batching import *
from .Merging import *
| 34 | 78 | 0.806723 | 23 | 238 | 8.347826 | 0.521739 | 0.15625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138655 | 238 | 6 | 79 | 39.666667 | 0.936585 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
55f11b5ff4879d090e8e05261f1ccf79e8560a4a | 48 | py | Python | metnet/__init__.py | openclimatefix/MetNet | 06eed550e93da6325641958b0d36c15adde1d928 | [
"MIT"
] | 1 | 2022-01-03T12:31:31.000Z | 2022-01-03T12:31:31.000Z | metnet/__init__.py | openclimatefix/MetNet | 06eed550e93da6325641958b0d36c15adde1d928 | [
"MIT"
] | null | null | null | metnet/__init__.py | openclimatefix/MetNet | 06eed550e93da6325641958b0d36c15adde1d928 | [
"MIT"
] | null | null | null | from .model import MetNet
from .layers import *
| 16 | 25 | 0.770833 | 7 | 48 | 5.285714 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 48 | 2 | 26 | 24 | 0.925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
360842c1780887ae283ef5bb950e0ac1942d86cb | 8,898 | py | Python | src/tests/unit/autoks/test_active_set.py | lschlessinger1/MS-project | e1c02d1d1a7a2480ff6f14f30625dc42ee3417e3 | [
"MIT"
] | 2 | 2019-04-29T15:18:11.000Z | 2019-12-13T18:58:40.000Z | src/tests/unit/autoks/test_active_set.py | lschlessinger1/MS-project | e1c02d1d1a7a2480ff6f14f30625dc42ee3417e3 | [
"MIT"
] | 275 | 2019-02-19T22:59:39.000Z | 2020-10-03T08:56:08.000Z | src/tests/unit/autoks/test_active_set.py | lschlessinger1/MS-project | e1c02d1d1a7a2480ff6f14f30625dc42ee3417e3 | [
"MIT"
] | null | null | null | from unittest import TestCase
from GPy.kern import RBF, RationalQuadratic, StandardPeriodic, LinScaleShift
from src.autoks.core.active_set import ActiveSet
from src.autoks.core.covariance import Covariance
from src.autoks.core.gp_model import GPModel
class TestActiveSet(TestCase):
def setUp(self) -> None:
self.active_set = ActiveSet(max_n_models=5)
def test_set_bad_remove_priority(self):
with self.assertRaises(ValueError):
remove_priority = [0, 1, 2, 3, 4, 0]
self.active_set.remove_priority = remove_priority
with self.assertRaises(ValueError):
remove_priority = [10]
self.active_set.remove_priority = remove_priority
def test_set_empty_remove_priority(self):
self.active_set.remove_priority = []
expected_list = []
actual_list = self.active_set.remove_priority
self.assertListEqual(expected_list, actual_list)
def test_get_index_to_insert_empty(self):
expected_index = 0
actual_index = self.active_set.get_index_to_insert()
self.assertEqual(expected_index, actual_index)
def test_get_index_to_insert_one_item(self):
# add one model
self.active_set.add_model(GPModel(Covariance(RBF(1))))
expected_index = 1
actual_index = self.active_set.get_index_to_insert()
self.assertEqual(expected_index, actual_index)
def test_get_index_to_insert_full_no_priority(self):
# add five models
self.active_set.add_model(GPModel(Covariance(RBF(1))))
self.active_set.add_model(GPModel(Covariance(RationalQuadratic(1))))
self.active_set.add_model(GPModel(Covariance(StandardPeriodic(1))))
self.active_set.add_model(GPModel(Covariance(LinScaleShift(1))))
self.active_set.add_model(GPModel(Covariance(RBF(1) + RBF(1))))
self.assertRaises(ValueError, self.active_set.get_index_to_insert)
def test_get_index_to_insert_full_with_priority(self):
# add five models
self.active_set.add_model(GPModel(Covariance(RBF(1))))
self.active_set.add_model(GPModel(Covariance(RationalQuadratic(1))))
self.active_set.add_model(GPModel(Covariance(StandardPeriodic(1))))
self.active_set.add_model(GPModel(Covariance(LinScaleShift(1))))
self.active_set.add_model(GPModel(Covariance(RBF(1) + RBF(1))))
remove_priority = [2]
self.active_set.remove_priority = remove_priority
actual = self.active_set.get_index_to_insert()
expected = 2
self.assertEqual(expected, actual)
self.assertEqual(self.active_set.remove_priority, [])
remove_priority = [0, 2, 3]
self.active_set.remove_priority = remove_priority
actual = self.active_set.get_index_to_insert()
expected = 0
self.assertEqual(expected, actual)
self.assertEqual(self.active_set.remove_priority, [2, 3])
def test_add_model_empty(self):
candidate = GPModel(Covariance(RBF(1)))
expected_ind, expected_status = 0, True
actual_ind, actual_status = self.active_set.add_model(candidate)
self.assertEqual(expected_ind, actual_ind)
self.assertEqual(expected_status, actual_status)
expected_models = [candidate, None, None, None, None]
self.assertListEqual(expected_models, self.active_set.models)
expected_next_ind = 1
self.assertEqual(expected_next_ind, self.active_set.get_index_to_insert())
def test_add_model_same(self):
# TODO: should this actually be same kernel?
models = [GPModel(Covariance(RBF(1)))] * 2
self.active_set.add_model(models[0])
expected_ind = -1
expected_status = False
actual_ind, actual_status = self.active_set.add_model(models[1])
self.assertEqual(expected_ind, actual_ind)
self.assertEqual(expected_status, actual_status)
expected_models = [models[0], None, None, None, None]
self.assertListEqual(expected_models, self.active_set.models)
expected_next_ind = 1
self.assertEqual(expected_next_ind, self.active_set.get_index_to_insert())
def test_update_empty(self):
candidates = [GPModel(Covariance(RBF(1))), GPModel(Covariance(RationalQuadratic(1)))]
expected_candidates_ind = [0, 1]
new_candidates_ind = self.active_set.update(candidates)
self.assertEqual(expected_candidates_ind, new_candidates_ind)
expected_models = [candidates[0], candidates[1], None, None, None]
self.assertListEqual(expected_models, self.active_set.models)
expected_next_ind = 2
self.assertEqual(expected_next_ind, self.active_set.get_index_to_insert())
def test_update_exceed_max_no_remove(self):
candidates = [GPModel(Covariance(RBF(1))), GPModel(Covariance(RationalQuadratic(1))),
GPModel(Covariance(LinScaleShift(1))), GPModel(Covariance(StandardPeriodic(1))),
GPModel(Covariance(RBF(1) + RBF(1))), GPModel(Covariance(RBF(1) * RBF(1)))]
self.assertRaises(ValueError, self.active_set.update, candidates)
def test_update_exceed_max_remove_set(self):
candidates = [GPModel(Covariance(RBF(1))), GPModel(Covariance(RationalQuadratic(1))),
GPModel(Covariance(LinScaleShift(1))), GPModel(Covariance(StandardPeriodic(1))),
GPModel(Covariance(RBF(1) + RBF(1))), GPModel(Covariance(RBF(1) * RBF(1)))]
self.active_set.remove_priority = [0, 1, 2, 3, 4]
actual_new_candidates_ind = self.active_set.update(candidates)
expected_new_candidates_ind = [1, 2, 3, 4, 0]
self.assertListEqual(expected_new_candidates_ind, actual_new_candidates_ind)
expected_models = [candidates[5], candidates[1], candidates[2], candidates[3], candidates[4]]
self.assertListEqual(expected_models, self.active_set.models)
expected_next_ind = 1
self.assertEqual(expected_next_ind, self.active_set.get_index_to_insert())
def test_update_with_duplicates(self):
candidates = [GPModel(Covariance(RBF(1))), GPModel(Covariance(RBF(1)))]
expected_candidates_ind = [0]
new_candidates_ind = self.active_set.update(candidates)
self.assertEqual(expected_candidates_ind, new_candidates_ind)
expected_models = [candidates[0], None, None, None, None]
self.assertListEqual(expected_models, self.active_set.models)
expected_next_ind = 1
self.assertEqual(expected_next_ind, self.active_set.get_index_to_insert())
def test_get_same_candidate(self):
candidates = [GPModel(Covariance(RBF(1)))]
self.active_set.update(candidates)
actual = self.active_set.get(candidates[0])
self.assertIsInstance(actual, int)
expected_ind = 0
self.assertEqual(expected_ind, actual)
def test_get_same_candidate_expression(self):
candidates = [GPModel(Covariance(RBF(1)))]
self.active_set.update(candidates)
new_model = GPModel(Covariance(RBF(1)))
actual = self.active_set.get(new_model)
self.assertIsInstance(actual, int)
expected_ind = 0
self.assertEqual(expected_ind, actual)
def test_get_same_candidate_with_default(self):
candidates = [GPModel(Covariance(RBF(1)))]
self.active_set.update(candidates)
actual = self.active_set.get(candidates[0], -1)
self.assertIsInstance(actual, int)
expected_ind = 0
self.assertEqual(expected_ind, actual)
def test_get_new_candidate_with_default(self):
candidates = [GPModel(Covariance(RBF(1)))]
self.active_set.update(candidates)
new_model = GPModel(Covariance(RationalQuadratic(1)))
default = 2
actual = self.active_set.get(new_model, default)
self.assertIsInstance(actual, int)
expected_ind = default
self.assertEqual(expected_ind, actual)
def test_index_same_candidate(self):
candidates = [GPModel(Covariance(RBF(1)))]
self.active_set.update(candidates)
actual = self.active_set.index(candidates[0])
self.assertIsInstance(actual, int)
expected_ind = 0
self.assertEqual(expected_ind, actual)
def test_index_same_candidate_expression(self):
candidates = [GPModel(Covariance(RBF(1)))]
self.active_set.update(candidates)
new_model = GPModel(Covariance(RBF(1)))
actual = self.active_set.index(new_model)
self.assertIsInstance(actual, int)
expected_ind = 0
self.assertEqual(expected_ind, actual)
def test_index_new_model(self):
candidates = [GPModel(Covariance(RBF(1)))]
self.active_set.update(candidates)
new_model = GPModel(Covariance(RationalQuadratic(1)))
self.assertRaises(KeyError, self.active_set.index, new_model)
| 43.194175 | 102 | 0.696111 | 1,095 | 8,898 | 5.374429 | 0.074886 | 0.0887 | 0.125913 | 0.08921 | 0.84554 | 0.812234 | 0.768224 | 0.736279 | 0.719796 | 0.698386 | 0 | 0.015045 | 0.200719 | 8,898 | 205 | 103 | 43.404878 | 0.81243 | 0.00989 | 0 | 0.54321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004878 | 0.253086 | 1 | 0.123457 | false | 0 | 0.030864 | 0 | 0.160494 | 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 |
3617a41fd75b317f74efd1acd81824186464b5c9 | 40 | py | Python | src/spark/hellos/__init__.py | simonhodder/spark | 1062e3092996f82f7bc2c852d6444c2be2a1e296 | [
"MIT"
] | null | null | null | src/spark/hellos/__init__.py | simonhodder/spark | 1062e3092996f82f7bc2c852d6444c2be2a1e296 | [
"MIT"
] | null | null | null | src/spark/hellos/__init__.py | simonhodder/spark | 1062e3092996f82f7bc2c852d6444c2be2a1e296 | [
"MIT"
] | null | null | null |
from .hello_plugins import HelloModel
| 10 | 37 | 0.825 | 5 | 40 | 6.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 40 | 3 | 38 | 13.333333 | 0.941176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
36e4c12eb6e8daf17117f9f9ca6d94081e0d43b4 | 12,320 | py | Python | hw1/hw1.py | zhaoheri/homework | fcae59f37a947d8409a9e4d14885a8df07124aac | [
"MIT"
] | null | null | null | hw1/hw1.py | zhaoheri/homework | fcae59f37a947d8409a9e4d14885a8df07124aac | [
"MIT"
] | null | null | null | hw1/hw1.py | zhaoheri/homework | fcae59f37a947d8409a9e4d14885a8df07124aac | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import pickle
import tensorflow as tf
import numpy as np
from keras.models import Sequential, load_model
from keras.layers import Dense
import os
import tf_util
import argparse
import load_policy
def load_data(data_file):
with open(data_file, 'rb') as f:
data = pickle.loads(f.read())
return data
class BehaviorCloning:
def __init__(self, env, envname, args):
self.args = args
self.envname = envname
self.model = Sequential()
self.model.add(Dense(units=128,
input_dim=env.observation_space.shape[0],
activation='relu'))
self.model.add(Dense(units=128, activation='relu'))
self.model.add(Dense(units=env.action_space.shape[0]))
self.model.compile(loss='mse', optimizer='adam')
def train(self, data_file):
expert_data = load_data(data_file)
obs_data = np.array(expert_data['observations'])
obs_data = obs_data.reshape(obs_data.shape[0], obs_data.shape[1])
act_data = np.array(expert_data['actions'])
act_data = act_data.reshape(act_data.shape[0], act_data.shape[2])
self.model.fit(obs_data, act_data, epochs=self.args.epochs, verbose=1)
# score = self.model.evaluate()
self.model.save('bc/%s.model' % self.envname)
return self.model
class AlternativeBC:
def __init__(self, env, envname, args):
self.args = args
self.envname = envname
self.model = Sequential()
self.model.add(Dense(units=128,
input_dim=env.observation_space.shape[0],
activation='relu'))
self.model.add(Dense(units=128, activation='relu'))
self.model.add(Dense(units=128, activation='relu'))
self.model.add(Dense(units=env.action_space.shape[0]))
self.model.compile(loss='mse', optimizer='adam')
def train(self, data_file):
expert_data = load_data(data_file)
obs_data = np.array(expert_data['observations'])
obs_data = obs_data.reshape(obs_data.shape[0], obs_data.shape[1])
act_data = np.array(expert_data['actions'])
act_data = act_data.reshape(act_data.shape[0], act_data.shape[2])
self.model.fit(obs_data, act_data, epochs=self.args.epochs, verbose=1)
# score = self.model.evaluate()
self.model.save('alternative_bc/%s.model' % self.envname)
return self.model
class Dagger:
def __init__(self, env, args):
self.args = args
self.env = env
self.model = Sequential()
self.model.add(Dense(units=128,
input_dim=env.observation_space.shape[0],
activation='relu'))
self.model.add(Dense(units=128, activation='relu'))
self.model.add(Dense(units=env.action_space.shape[0]))
self.model.compile(loss='mse', optimizer='adam')
print('loading and building expert policy')
self.policy_fn = load_policy.load_policy(args.expert_policy_file)
print('loaded and built')
def train(self, data_file):
expert_data = load_data(data_file)
obs_data = np.array(expert_data['observations'])
act_data = np.array(expert_data['actions'])
with tf.Session():
tf_util.initialize()
# Dagger loop
for i in range(self.args.iteration):
print('obs_data.shape = %s' % str(obs_data.shape))
print('act_data.shape = %s' % str(act_data.shape))
# Train on D
obs_data_reshape = obs_data.reshape(obs_data.shape[0], obs_data.shape[1])
act_data_reshape = act_data.reshape(act_data.shape[0], act_data.shape[2])
self.model.fit(obs_data_reshape, act_data_reshape, epochs=10, verbose=1)
# run model and label actions with expert policy
new_obs_data, new_act_data = self.run_and_label()
# add new obs and act into dataset - aggregate
obs_data = np.concatenate((obs_data, new_obs_data))
act_data = np.concatenate((act_data, new_act_data))
self.model.save('dagger/%s.model' % self.args.envname)
def run_and_label(self):
# max_steps = args.max_timesteps or env.spec.timestep_limit
max_steps = self.env.spec.timestep_limit
num_rollout = 100
new_obs_data = []
new_act_data = []
for i in range(num_rollout):
print('iter', i)
obs = self.env.reset()
done = False
totalr = 0.
steps = 0
while not done:
labeled_act = self.policy_fn(obs[None, :])
new_obs_data.append(obs)
new_act_data.append(labeled_act)
obs = np.array(obs)
obs = obs.reshape(1, len(obs))
action = self.model.predict(obs, verbose=0)
obs, r, done, _ = self.env.step(action)
totalr += r
steps += 1
if self.args.render:
self.env.render()
if steps % 100 == 0: print("%i/%i" % (steps, max_steps))
if steps >= max_steps:
break
new_obs_data = np.array(new_obs_data)
new_act_data = np.array(new_act_data)
return new_obs_data, new_act_data
class AlternativeDagger:
def __init__(self, env, args):
self.args = args
self.env = env
self.model = Sequential()
self.model.add(Dense(units=128,
input_dim=env.observation_space.shape[0],
activation='relu'))
self.model.add(Dense(units=128, activation='relu'))
self.model.add(Dense(units=128, activation='relu'))
self.model.add(Dense(units=env.action_space.shape[0]))
self.model.compile(loss='mse', optimizer='adam')
print('loading and building expert policy')
self.policy_fn = load_policy.load_policy(args.expert_policy_file)
print('loaded and built')
def train(self, data_file):
expert_data = load_data(data_file)
obs_data = np.array(expert_data['observations'])
act_data = np.array(expert_data['actions'])
with tf.Session():
tf_util.initialize()
# Dagger loop
for i in range(self.args.iteration):
print('obs_data.shape = %s' % str(obs_data.shape))
print('act_data.shape = %s' % str(act_data.shape))
# Train on D
obs_data_reshape = obs_data.reshape(obs_data.shape[0], obs_data.shape[1])
act_data_reshape = act_data.reshape(act_data.shape[0], act_data.shape[2])
self.model.fit(obs_data_reshape, act_data_reshape, epochs=10, verbose=1)
# run model and label actions with expert policy
new_obs_data, new_act_data = self.run_and_label()
# add new obs and act into dataset - aggregate
obs_data = np.concatenate((obs_data, new_obs_data))
act_data = np.concatenate((act_data, new_act_data))
self.model.save('alternative_dagger/%s.model' % self.args.envname)
def run_and_label(self):
# max_steps = args.max_timesteps or env.spec.timestep_limit
max_steps = self.env.spec.timestep_limit
num_rollout = 100
new_obs_data = []
new_act_data = []
for i in range(num_rollout):
print('iter', i)
obs = self.env.reset()
done = False
totalr = 0.
steps = 0
while not done:
labeled_act = self.policy_fn(obs[None, :])
new_obs_data.append(obs)
new_act_data.append(labeled_act)
obs = np.array(obs)
obs = obs.reshape(1, len(obs))
action = self.model.predict(obs, verbose=0)
obs, r, done, _ = self.env.step(action)
totalr += r
steps += 1
if self.args.render:
self.env.render()
if steps % 100 == 0: print("%i/%i" % (steps, max_steps))
if steps >= max_steps:
break
new_obs_data = np.array(new_obs_data)
new_act_data = np.array(new_act_data)
return new_obs_data, new_act_data
def main():
parser = argparse.ArgumentParser()
parser.add_argument('envname', type=str)
parser.add_argument('--expert_policy_file', type=str)
parser.add_argument('--dagger', action='store_true')
parser.add_argument('--bc', action='store_true')
parser.add_argument('--alternative', type=str)
parser.add_argument('--data_file', type=str)
parser.add_argument('--stats', action='store_true')
parser.add_argument('--render', action='store_true')
parser.add_argument("--iteration", type=int)
parser.add_argument("--epochs", type=int)
parser.add_argument("--max_timesteps", type=int)
parser.add_argument('--num_rollouts', type=int,
help='Number of expert roll outs')
args = parser.parse_args()
import gym
env = gym.make(args.envname)
if args.num_rollouts is None:
if args.bc:
# train behavior cloning
bc = BehaviorCloning(env, args.envname, args)
bc.train(data_file=args.data_file)
if args.dagger:
dagger = Dagger(env, args)
dagger.train(data_file=args.data_file)
if args.alternative == 'bc':
bc = AlternativeBC(env, args.envname, args)
bc.train(data_file=args.data_file)
if args.alternative == 'dagger':
dagger = AlternativeDagger(env, args)
dagger.train(data_file=args.data_file)
else:
with tf.Session():
tf_util.initialize()
max_steps = args.max_timesteps or env.spec.timestep_limit
# generate rollouts stats
# load model
if args.bc:
model = load_model('bc/%s.model' % args.envname)
elif args.dagger:
model = load_model('dagger/%s.model' % args.envname)
else:
if args.alternative == 'bc':
model = load_model('alternative_bc/%s.model' % args.envname)
if args.alternative == 'dagger':
model = load_model('alternative_dagger/%s.model' % args.envname)
returns = []
observations = []
actions = []
for i in range(args.num_rollouts):
print('iter', i)
obs = env.reset()
done = False
totalr = 0.
steps = 0
while not done:
obs = np.array(obs)
obs = obs.reshape(1, len(obs))
action = model.predict(obs, verbose=0)
observations.append(obs)
# print('action shape = %s' % str(action.shape))
# action = action.reshape(env.action_space.shape)
actions.append(action)
obs, r, done, _ = env.step(action)
totalr += r
steps += 1
if args.render:
env.render()
if steps % 100 == 0: print("%i/%i" % (steps, max_steps))
if steps >= max_steps:
break
returns.append(totalr)
if (i+1) % 20 == 0:
print('returns', returns)
print('mean return', np.mean(returns))
print('std of return', np.std(returns))
if args.stats:
out_dir = 'bc' if args.bc else 'dagger'
with open(os.path.join(out_dir, '%s_%s.rollout'
% (args.envname, str(args.num_rollouts))), 'a') as f:
f.write(str(i+1) + '\n')
f.write(str(np.mean(returns)) + '\n')
f.write(str(np.std(returns)) + '\n\n')
if __name__ == '__main__':
main()
| 38.62069 | 89 | 0.555763 | 1,512 | 12,320 | 4.335317 | 0.11045 | 0.049123 | 0.025629 | 0.036308 | 0.799847 | 0.761556 | 0.729062 | 0.729062 | 0.72479 | 0.697025 | 0 | 0.012083 | 0.328247 | 12,320 | 318 | 90 | 38.742138 | 0.779966 | 0.046997 | 0 | 0.700787 | 0 | 0 | 0.066371 | 0.008531 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047244 | false | 0 | 0.03937 | 0 | 0.122047 | 0.066929 | 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 |
7fd8c8388fef20c340ac4eb1d624ecfafa8bced9 | 51 | py | Python | litex/soc/cores/cpu/eos_s3/__init__.py | suarezvictor/litex | d37ef60e70bd0ce8d28079143b6859d8b928395e | [
"ADSL"
] | 7 | 2018-12-31T06:41:47.000Z | 2021-08-21T14:15:38.000Z | litex/soc/cores/cpu/eos_s3/__init__.py | gregdavill/litex | 230ba5f7baff2d6fe98fbb7eecabb48aaea250e4 | [
"ADSL"
] | 1 | 2020-02-25T11:12:22.000Z | 2020-02-25T11:12:22.000Z | litex/soc/cores/cpu/eos_s3/__init__.py | gregdavill/litex | 230ba5f7baff2d6fe98fbb7eecabb48aaea250e4 | [
"ADSL"
] | 2 | 2019-03-02T11:09:47.000Z | 2019-06-06T08:42:25.000Z | from litex.soc.cores.cpu.eos_s3.core import EOS_S3
| 25.5 | 50 | 0.823529 | 11 | 51 | 3.636364 | 0.818182 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042553 | 0.078431 | 51 | 1 | 51 | 51 | 0.808511 | 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 |
3d083e328568ef098ad4f98b988bab7ff362929d | 150 | py | Python | build.py | freedomofkeima/awaitwhat | 40ba173e9b3bac69960ac0bb4088843c8111314c | [
"MIT"
] | null | null | null | build.py | freedomofkeima/awaitwhat | 40ba173e9b3bac69960ac0bb4088843c8111314c | [
"MIT"
] | null | null | null | build.py | freedomofkeima/awaitwhat | 40ba173e9b3bac69960ac0bb4088843c8111314c | [
"MIT"
] | null | null | null | from distutils.core import Extension
def build(setup_kwargs):
setup_kwargs["ext_modules"] = [Extension("awaitwhat._what", ["awaitwhat/what.c"])]
| 30 | 86 | 0.746667 | 19 | 150 | 5.684211 | 0.736842 | 0.203704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 150 | 4 | 87 | 37.5 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
3d3db1e7800794fde53d90f6bc7e4de941764881 | 97 | py | Python | fcos/metrics/__init__.py | rosshemsley/fcos | de30bb2c78df54cae6814282c7166beed333d34c | [
"MIT"
] | 5 | 2020-08-02T11:03:25.000Z | 2021-12-12T19:37:09.000Z | fcos/metrics/__init__.py | rosshemsley/fcos | de30bb2c78df54cae6814282c7166beed333d34c | [
"MIT"
] | null | null | null | fcos/metrics/__init__.py | rosshemsley/fcos | de30bb2c78df54cae6814282c7166beed333d34c | [
"MIT"
] | 1 | 2021-03-05T12:19:48.000Z | 2021-03-05T12:19:48.000Z | from .map import compute_iou
from .pascal_voc import compute_pascal_voc_metrics, compute_metrics
| 32.333333 | 67 | 0.876289 | 15 | 97 | 5.266667 | 0.533333 | 0.329114 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.092784 | 97 | 2 | 68 | 48.5 | 0.897727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 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 |
3d50d046d3326cb795dddd09a597551802708d8d | 98 | py | Python | models/__init__.py | rballester/xView2_second_place | 0bd9559ffbf2667ee78c36159b707b7381ecc2cc | [
"Apache-2.0"
] | null | null | null | models/__init__.py | rballester/xView2_second_place | 0bd9559ffbf2667ee78c36159b707b7381ecc2cc | [
"Apache-2.0"
] | null | null | null | models/__init__.py | rballester/xView2_second_place | 0bd9559ffbf2667ee78c36159b707b7381ecc2cc | [
"Apache-2.0"
] | null | null | null | from .unet import *
from .fpn import *
from .siamese_unet import *
# from .siamese_bifpn import *
| 19.6 | 30 | 0.734694 | 14 | 98 | 5 | 0.428571 | 0.428571 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173469 | 98 | 4 | 31 | 24.5 | 0.864198 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
3d596797bae67c59ee7bfc3ceba1d50bb2600bee | 134 | py | Python | ordermanager.py | itsdatnguyen/3RQ3TestSuite | ca0fdd0535f3b6f748f0d888b41e0fcca6de55a2 | [
"MIT"
] | null | null | null | ordermanager.py | itsdatnguyen/3RQ3TestSuite | ca0fdd0535f3b6f748f0d888b41e0fcca6de55a2 | [
"MIT"
] | null | null | null | ordermanager.py | itsdatnguyen/3RQ3TestSuite | ca0fdd0535f3b6f748f0d888b41e0fcca6de55a2 | [
"MIT"
] | 1 | 2020-11-20T01:54:37.000Z | 2020-11-20T01:54:37.000Z | class OrderManager:
def add_order(self, order):
return None
def view_all_orders(self, account):
return None
| 16.75 | 39 | 0.649254 | 17 | 134 | 4.941176 | 0.705882 | 0.238095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.283582 | 134 | 7 | 40 | 19.142857 | 0.875 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0.4 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
1806e4dc4c5387d30509508eaa02e328f05f6cc5 | 11,924 | py | Python | mastic/tests/test_system.py | ADicksonLab/mastic | 58749c40fe364110e3e7be8aa79a89f32d956d09 | [
"MIT"
] | 5 | 2018-01-28T19:53:16.000Z | 2021-02-21T01:53:08.000Z | mastic/tests/test_system.py | salotz/mast | 58749c40fe364110e3e7be8aa79a89f32d956d09 | [
"MIT"
] | null | null | null | mastic/tests/test_system.py | salotz/mast | 58749c40fe364110e3e7be8aa79a89f32d956d09 | [
"MIT"
] | 1 | 2021-06-04T05:07:10.000Z | 2021-06-04T05:07:10.000Z | import doctest
import unittest
import mast.selection as mastsel
import mast.molecule as mastmol
import mast.system as mastsys
import mast.tests.data as mastdata
import mast.config.molecule as mastmolconfig
import mast.config.system as mastsysconfig
class TestSystemType(unittest.TestCase):
def setUp(self):
self.mock_atom1_attrs = {}
self.mock_atom1_attrs[mastmolconfig.ATOM_ATTRIBUTES[0]] = "mock_attribute"
self.mock_atom1_attrs['undefined_attribute'] = "undefined_mock_attribute"
self.Mock1AtomType = mastmol.AtomType("Mock1AtomType", **self.mock_atom1_attrs)
self.mock_atom2_attrs = {}
self.mock_atom2_attrs[mastmolconfig.ATOM_ATTRIBUTES[0]] = "mock_attribute_2"
self.mock_atom2_attrs['undefined_attribute'] = "undefined_mock_attribute"
self.Mock2AtomType = mastmol.AtomType("Mock2AtomType", **self.mock_atom2_attrs)
self.atom_types = (self.Mock1AtomType, self.Mock2AtomType)
self.mock_bond_attrs = {}
self.mock_bond_attrs[mastmolconfig.BOND_ATTRIBUTES[0]] = "mock_attribute"
self.mock_bond_attrs['undefined_attribute'] = "undefined_mock_attribute"
self.MockBondType = mastmol.BondType("MockBondType",
atom_types=self.atom_types,
**self.mock_bond_attrs)
self.bond_types = [self.MockBondType]
self.mock_mol_attrs = {}
self.bond_map = {0:(0,1)}
self.mock_mol_attrs[mastmolconfig.MOLECULE_ATTRIBUTES[0]] = "mock_attribute"
self.mock_mol_attrs['undefined_attribute'] = "undefined_mock_attribute"
self.MockMoleculeType = mastmol.MoleculeType("MockMoleculeType",
atom_types=self.atom_types,
bond_types=self.bond_types,
bond_map=self.bond_map,
**self.mock_mol_attrs)
self.system_attributes = {'name' : 'mock_system'}
self.molecule_types = [self.MockMoleculeType, self.MockMoleculeType]
self.atom_types = [self.Mock1AtomType, self.Mock2AtomType]
self.member_types = self.atom_types + self.molecule_types
self.system_attributes = {'name' : 'mock_system'}
def tearDown(self):
pass
def test_factory_molecules_only(self):
MockSystemType = mastsys.SystemType("MockSystemType",
member_types=self.molecule_types,
**self.system_attributes)
for attribute in mastsysconfig.SYSTEM_ATTRIBUTES:
self.assertIn(attribute, MockSystemType.attributes)
self.assertEqual(len(MockSystemType.member_types), 2)
for member_type in MockSystemType.member_types:
self.assertIs(member_type, self.MockMoleculeType)
for molecule_type in MockSystemType.molecule_types:
self.assertIs(molecule_type, self.MockMoleculeType)
self.assertFalse(MockSystemType.atom_types)
self.assertFalse(MockSystemType.association_types)
self.assertEqual(MockSystemType.member_type_library, {self.MockMoleculeType})
self.assertEqual(MockSystemType.name, self.system_attributes['name'])
def test_factory_atoms_only(self):
MockSystemType = mastsys.SystemType("MockSystemType",
member_types=self.atom_types,
**self.system_attributes)
self.assertEqual(len(MockSystemType.member_types), 2)
for i, member_type in enumerate(MockSystemType.member_types):
self.assertIs(member_type, self.atom_types[i])
for i, atom_type in enumerate(MockSystemType.atom_types):
self.assertIs(atom_type, self.atom_types[i])
self.assertFalse(MockSystemType.molecule_types)
self.assertFalse(MockSystemType.association_types)
self.assertEqual(MockSystemType.member_type_library, set(self.atom_types))
self.assertEqual(MockSystemType.name, self.system_attributes['name'])
def test_factory_atoms_and_molecules(self):
MockSystemType = mastsys.SystemType("MockSystemType",
member_types=self.member_types,
**self.system_attributes)
self.assertEqual(len(MockSystemType.member_types), 4)
for i, member_type in enumerate(MockSystemType.member_types):
self.assertIs(member_type, self.member_types[i])
for i, atom_type in enumerate(MockSystemType.atom_types):
self.assertIs(atom_type, self.atom_types[i])
self.assertFalse(MockSystemType.association_types)
self.assertEqual(MockSystemType.member_type_library, set(self.member_types))
self.assertEqual(MockSystemType.name, self.system_attributes['name'])
class TestSystem(unittest.TestCase):
def setUp(self):
self.mock_atom1_attrs = {}
self.mock_atom1_attrs[mastmolconfig.ATOM_ATTRIBUTES[0]] = "mock_attribute"
self.mock_atom1_attrs['undefined_attribute'] = "undefined_mock_attribute"
self.Mock1AtomType = mastmol.AtomType("Mock1AtomType", **self.mock_atom1_attrs)
self.mock_atom2_attrs = {}
self.mock_atom2_attrs[mastmolconfig.ATOM_ATTRIBUTES[0]] = "mock_attribute_2"
self.mock_atom2_attrs['undefined_attribute'] = "undefined_mock_attribute"
self.Mock2AtomType = mastmol.AtomType("Mock2AtomType", **self.mock_atom2_attrs)
self.atom_types = (self.Mock1AtomType, self.Mock2AtomType)
self.mock_bond_attrs = {}
self.mock_bond_attrs[mastmolconfig.BOND_ATTRIBUTES[0]] = "mock_attribute"
self.mock_bond_attrs['undefined_attribute'] = "undefined_mock_attribute"
self.MockBondType = mastmol.BondType("MockBondType",
atom_types=self.atom_types,
**self.mock_bond_attrs)
self.bond_types = [self.MockBondType]
self.mock_mol_attrs = {}
self.bond_map = {0:(0,1)}
self.mock_mol_attrs[mastmolconfig.MOLECULE_ATTRIBUTES[0]] = "mock_attribute"
self.mock_mol_attrs['undefined_attribute'] = "undefined_mock_attribute"
self.MockMoleculeType = mastmol.MoleculeType("MockMoleculeType",
atom_types=self.atom_types,
bond_types=self.bond_types,
bond_map=self.bond_map,
**self.mock_mol_attrs)
self.system_attributes = {'name' : 'mock_system'}
self.molecule_types = [self.MockMoleculeType, self.MockMoleculeType]
self.atom_types = [self.Mock1AtomType, self.Mock2AtomType]
self.member_types = self.atom_types + self.molecule_types
self.nonoverlapping_coords = [np.array([[0.0, 0.0, 0.0], [0.0, 0.0, 1.0]]),
np.array([[1.0, 1.0, 1.0], [1.0, 1.0, 0.0]])]
self.overlapping_coords = [np.array([[0.0, 0.0, 0.0], [0.0, 0.0, 1.0]]),
np.array([[0.0, 0.0, 0.0], [0.0, 0.0, 1.0]])]
self.nonoverlapping_molecules = []
for coords in self.nonoverlapping_coords:
self.molecules.append(self.MockMoleculeType.to_molecule(coords))
self.overlapping_molecules = []
for coords in self.overlapping_coords:
self.molecules.append(self.MockMoleculeType.to_molecule(coords))
self.MockAtomsSystemType = mastsys.SystemType("MockSystemType",
member_types=self.atom_types,
**self.system_attributes)
self.MockMoleculesSystemType = mastsys.SystemType("MockSystemType",
member_types=self.molecule_types,
**self.system_attributes)
self.MockSystemType = mastsys.SystemType("MockSystemType",
member_types=self.member_types,
**self.system_attributes)
def tearDown(self):
pass
def test_nonoverlapping_molecules_system(self):
system = self.MockMoleculesSystemType.to_system(self.nonoverlapping_coords)
self.assertTrue(isinstance(system, mastsys.System))
self.assertIs(system.system_type, self.MockMoleculesSystemType)
# things that should be in the system
self.assertTrue(len(system.members) == 2)
self.assertTrue(len(system.molecules) == 2)
# things that shouldn't be in the system
self.assertFalse(system.associations)
self.assertFalse(system.association_types)
self.assertFalse(system.atoms)
self.assertFalse(system.atom_types)
# methods
# selection of molecules
mol_sel = system.molecules_sel()
self.assertTrue(isinstance(mol_sel, mastsel.IndexedSelection))
for idx, selected_mol in mol_sel.items():
self.assertIs(selected_mol, system.molecules[idx])
# flags
self.assertIn('system', system.flags)
for member in system.members:
self.assertIn('system', member.flags)
def test_overlapping_system(self):
with self.assertRaises(AssertionError):
self.MockMoleculesSystemType.to_system(self.overlapping_coords)
def test_molecules_and_atom_system(self):
system = self.MockSystemType.to_system(self.nonoverlapping_coords)
self.assertTrue(isinstance(system, mastsys.System))
self.assertIs(system.system_type, self.MockMoleculesSystemType)
# things that should be in the system
self.assertTrue(len(system.members) == 4)
self.assertTrue(len(system.molecules) == 2)
self.assertTrue(len(system.atoms) == 2)
# things that shouldn't be in the system
self.assertFalse(system.associations)
self.assertFalse(system.association_types)
# methods
# selection of molecules
mol_sel = system.molecules_sel()
self.assertTrue(isinstance(mol_sel, mastsel.IndexedSelection))
for idx, selected_mol in mol_sel.items():
self.assertIs(selected_mol, system.molecules[idx])
# selection of atoms
atom_sel = system.atoms_sel()
self.assertTrue(isinstance(atom_sel, mastsel.IndexedSelection))
for idx, selected_atom in atom_sel.items():
self.assertIs(selected_atom, system.atoms[idx])
# flags
self.assertIn('system', system.flags)
for member in system.members:
self.assertIn('system', member.flags)
def test_substantiated_member_system_uniqueness(self):
"""Test to make sure you cannot add a substantiated member to two
different systems."""
# this shouldn't be a big deal if you only ever use the
# Type.to_xxx method, (Type.substantiate in the future)
# will wait to write these tests then
self.assertTrue(False)
if __name__ == "__main__":
from mast import system
# doctests
print("\n\n\n Doc Tests\n-----------")
nfail, ntests = doctest.testmod(system, verbose=True)
# unit tests
print("\n\n\n Unit Tests\n-----------")
unittest.main()
| 48.080645 | 87 | 0.612965 | 1,218 | 11,924 | 5.776683 | 0.116585 | 0.061399 | 0.010659 | 0.011939 | 0.806566 | 0.782405 | 0.758101 | 0.755827 | 0.747157 | 0.723138 | 0 | 0.012372 | 0.295035 | 11,924 | 247 | 88 | 48.275304 | 0.824649 | 0.04101 | 0 | 0.659341 | 0 | 0 | 0.070163 | 0.016839 | 0 | 0 | 0 | 0 | 0.263736 | 1 | 0.06044 | false | 0.010989 | 0.049451 | 0 | 0.120879 | 0.010989 | 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 |
180b38c9edb84d4e6cec87edc33ec9eaf8e6ef8d | 3,750 | py | Python | cloudmarker/test/test_gcpcloud.py | nishitm/cloudmarker | 98f9d228abe3cf01fb4a6d631d31aadec47e759a | [
"MIT"
] | null | null | null | cloudmarker/test/test_gcpcloud.py | nishitm/cloudmarker | 98f9d228abe3cf01fb4a6d631d31aadec47e759a | [
"MIT"
] | null | null | null | cloudmarker/test/test_gcpcloud.py | nishitm/cloudmarker | 98f9d228abe3cf01fb4a6d631d31aadec47e759a | [
"MIT"
] | null | null | null | """Tests for gcpcloud plugin."""
import copy
import unittest
from unittest import mock
from cloudmarker.clouds import gcpcloud
mock_firewall_data = {
'kind': 'compute#firewallList',
'items': [
{
'priority': 42,
'direction': 'ingress',
'sourceRanges': [
'0.0.0.0',
]
}
]
}
mock_instance_data = {
'kind': 'compute#instanceList',
'items': [
{
'status': 'str',
'guestAccelerators': [
{
'acceleratorCount': 42,
'acceleratorType': 'str',
},
]
}
],
'id': 'str',
'selfLink': 'str'
}
class GCPCloudTest(unittest.TestCase):
"""Tests for gcpcloud plugin."""
@mock.patch('cloudmarker.clouds.gcpcloud.discovery')
@mock.patch('cloudmarker.clouds.gcpcloud.service_account')
@mock.patch('builtins.open', mock.mock_open(
read_data='{"project_id": "foo"}'))
def test_firewall_without_next_page_token(
self,
mock_service_account,
mock_discovery):
mock_execute = mock_discovery.build().firewalls().list().execute
mock_execute.return_value = mock_firewall_data
# Consume the data from the generator
list(gcpcloud.GCPCloud('', '').read())
mock_execute.assert_called_once_with()
@mock.patch('cloudmarker.clouds.gcpcloud.discovery')
@mock.patch('cloudmarker.clouds.gcpcloud.service_account')
@mock.patch('builtins.open', mock.mock_open(
read_data='{"project_id": "foo"}'))
def test_firewall_with_next_page_token(
self,
mock_service_account,
mock_discovery):
mock_firewall_data_with_next_page = copy.deepcopy(mock_firewall_data)
mock_firewall_data_with_next_page.update({'nextPageToken': 'bar'})
mock_execute = mock_discovery.build().firewalls().list().execute
mock_execute.side_effect = [mock_firewall_data_with_next_page,
mock_firewall_data]
# Consume the data from the generator
list(gcpcloud.GCPCloud('', '').read())
self.assertEqual(mock_execute.mock_calls, [mock.call(), mock.call()])
@mock.patch('cloudmarker.clouds.gcpcloud.discovery')
@mock.patch('cloudmarker.clouds.gcpcloud.service_account')
@mock.patch('builtins.open', mock.mock_open(
read_data='{"project_id": "foo"}'))
def test_instance_without_next_page_token(
self,
mock_service_account,
mock_discovery):
mock_execute = mock_discovery.build().instances().list().execute
mock_execute.return_value = mock_instance_data
# Consume the data from the generator
list(gcpcloud.GCPCloud('', '').read())
mock_execute.assert_called_once_with()
@mock.patch('cloudmarker.clouds.gcpcloud.discovery')
@mock.patch('cloudmarker.clouds.gcpcloud.service_account')
@mock.patch('builtins.open', mock.mock_open(
read_data='{"project_id": "foo"}'))
def test_instance_with_next_page_token(
self,
mock_service_account,
mock_discovery):
mock_instance_data_with_next_page = copy.deepcopy(mock_instance_data)
mock_instance_data_with_next_page.update({'nextPageToken': 'bar'})
mock_execute = mock_discovery.build().instances().list().execute
mock_execute.side_effect = [mock_instance_data_with_next_page,
mock_instance_data]
# Consume the data from the generator
list(gcpcloud.GCPCloud('', '').read())
self.assertEqual(mock_execute.mock_calls, [mock.call(), mock.call()])
| 32.608696 | 77 | 0.621867 | 395 | 3,750 | 5.594937 | 0.187342 | 0.048869 | 0.072398 | 0.094118 | 0.823529 | 0.823529 | 0.78371 | 0.732127 | 0.732127 | 0.732127 | 0 | 0.002863 | 0.254933 | 3,750 | 114 | 78 | 32.894737 | 0.788117 | 0.0528 | 0 | 0.482759 | 0 | 0 | 0.187959 | 0.090447 | 0 | 0 | 0 | 0 | 0.045977 | 1 | 0.045977 | false | 0 | 0.045977 | 0 | 0.103448 | 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 |
18284547c80d51f74ab02fd8c4906923f3adffd5 | 153 | py | Python | test/__init__.py | Arrackisarookie/blog | 26d9a73b823ca08973541fcd2306a9d31272dfb0 | [
"MIT"
] | 4 | 2019-10-02T13:41:44.000Z | 2022-02-05T15:35:35.000Z | test/__init__.py | Arrackisarookie/blog | 26d9a73b823ca08973541fcd2306a9d31272dfb0 | [
"MIT"
] | null | null | null | test/__init__.py | Arrackisarookie/blog | 26d9a73b823ca08973541fcd2306a9d31272dfb0 | [
"MIT"
] | 1 | 2020-06-11T14:25:48.000Z | 2020-06-11T14:25:48.000Z | #
# -*- coding: utf-8 -*-
#
# @Author: Arrack
# @Date: 2020-05-27 16:06:43
# @Last modified by: Arrack
# @Last Modified time: 2020-05-27 16:06:43
#
| 15.3 | 42 | 0.588235 | 25 | 153 | 3.6 | 0.64 | 0.133333 | 0.177778 | 0.222222 | 0.311111 | 0.311111 | 0 | 0 | 0 | 0 | 0 | 0.237705 | 0.202614 | 153 | 9 | 43 | 17 | 0.5 | 0.882353 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
18360acf672e93ab63deab4ffaf58fcb1934b10a | 39 | py | Python | tradssat/genotype/__init__.py | shreyayadav/traDSSAT | cc9650f896910c0d0a7a382aff36bef89aba70f2 | [
"MIT"
] | 6 | 2020-10-05T11:50:37.000Z | 2022-02-24T08:36:22.000Z | tradssat/genotype/__init__.py | shreyayadav/traDSSAT | cc9650f896910c0d0a7a382aff36bef89aba70f2 | [
"MIT"
] | 23 | 2018-11-08T19:16:36.000Z | 2021-07-20T23:34:18.000Z | tradssat/genotype/__init__.py | shreyayadav/traDSSAT | cc9650f896910c0d0a7a382aff36bef89aba70f2 | [
"MIT"
] | 9 | 2018-11-06T21:04:07.000Z | 2021-06-19T05:43:24.000Z | from .gen_file import CULFile, ECOFile
| 19.5 | 38 | 0.820513 | 6 | 39 | 5.166667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.128205 | 39 | 1 | 39 | 39 | 0.911765 | 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 |
1869267f0c2bdb565ff5223f051c2b8a9b7cf9e0 | 11 | py | Python | semgrep.py | Keeseeel/OWASPWebGoatPHP | be6bdd5e25d7a0a899fb16f0a11d6d224ce2b6b3 | [
"Apache-2.0"
] | null | null | null | semgrep.py | Keeseeel/OWASPWebGoatPHP | be6bdd5e25d7a0a899fb16f0a11d6d224ce2b6b3 | [
"Apache-2.0"
] | null | null | null | semgrep.py | Keeseeel/OWASPWebGoatPHP | be6bdd5e25d7a0a899fb16f0a11d6d224ce2b6b3 | [
"Apache-2.0"
] | null | null | null | 5==5
#test
| 3.666667 | 5 | 0.545455 | 3 | 11 | 2 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 0.181818 | 11 | 2 | 6 | 5.5 | 0.444444 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
a18a30992b0717ee0b6e8f5f1b97c91c7788f15f | 123 | py | Python | devel/lib/python2.7/dist-packages/dnb_msgs/srv/__init__.py | elmexx/eWolf-Jetson | 34242b1cea360c1e81d0e26a9e8cb70cf9ca354e | [
"MIT"
] | null | null | null | devel/lib/python2.7/dist-packages/dnb_msgs/srv/__init__.py | elmexx/eWolf-Jetson | 34242b1cea360c1e81d0e26a9e8cb70cf9ca354e | [
"MIT"
] | null | null | null | devel/lib/python2.7/dist-packages/dnb_msgs/srv/__init__.py | elmexx/eWolf-Jetson | 34242b1cea360c1e81d0e26a9e8cb70cf9ca354e | [
"MIT"
] | null | null | null | from ._GetProgramsList import *
from ._RunProgramWithArguments import *
from ._SetInt32 import *
from ._SetString import *
| 24.6 | 39 | 0.804878 | 12 | 123 | 7.916667 | 0.5 | 0.315789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018692 | 0.130081 | 123 | 4 | 40 | 30.75 | 0.869159 | 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 |
a1959af983a31e031782995daf930c681b1a6158 | 74 | py | Python | daftlistings/__init__.py | codingApprentice/daftlistings | 240c59d836955b03f5aa2be68c616ee62befb8a7 | [
"MIT"
] | 126 | 2016-09-28T20:57:39.000Z | 2022-03-29T21:00:03.000Z | daftlistings/__init__.py | codingApprentice/daftlistings | 240c59d836955b03f5aa2be68c616ee62befb8a7 | [
"MIT"
] | 88 | 2016-10-19T14:05:59.000Z | 2021-12-01T21:14:13.000Z | daftlistings/__init__.py | codingApprentice/daftlistings | 240c59d836955b03f5aa2be68c616ee62befb8a7 | [
"MIT"
] | 53 | 2016-10-18T21:56:08.000Z | 2022-03-15T00:26:33.000Z | from .daft import *
from .enums import *
from .map_visualization import *
| 18.5 | 32 | 0.756757 | 10 | 74 | 5.5 | 0.6 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162162 | 74 | 3 | 33 | 24.666667 | 0.887097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
a1bf2721843ac856024d1dcc479ea686496938dc | 289 | py | Python | quick.py | joshisa/diagrams | 27491295ed1ab824ca3179e80119deed9c0a976b | [
"MIT"
] | null | null | null | quick.py | joshisa/diagrams | 27491295ed1ab824ca3179e80119deed9c0a976b | [
"MIT"
] | null | null | null | quick.py | joshisa/diagrams | 27491295ed1ab824ca3179e80119deed9c0a976b | [
"MIT"
] | null | null | null | # diagram.py
from diagrams import Diagram
from diagrams.aws.compute import EC2
from diagrams.ibm.compute import Internet
from diagrams.aws.database import RDS
from diagrams.aws.network import ELB
with Diagram("Web Service", show=False):
Internet("WWW") >> EC2("web") >> RDS("userdb")
| 28.9 | 50 | 0.761246 | 42 | 289 | 5.238095 | 0.5 | 0.272727 | 0.204545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007905 | 0.124567 | 289 | 9 | 51 | 32.111111 | 0.86166 | 0.034602 | 0 | 0 | 0 | 0 | 0.083032 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.714286 | 0 | 0.714286 | 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 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
a1c0c7ca1af554d6a2828314b4d31a8ac725ad28 | 1,681 | bzl | Python | bazel/data2c.bzl | arunvc/incubator-pagespeed-mod | 10cb54ab31c2b153a20b2e70e56f7b2dfe0dfc00 | [
"Apache-2.0"
] | 535 | 2015-04-08T20:39:06.000Z | 2018-01-04T03:19:47.000Z | bazel/data2c.bzl | pagespeed/modpagespeed | 6199d78ec7bbff506d497d880fbf0ac9e917c0aa | [
"MIT"
] | 672 | 2015-04-08T13:15:58.000Z | 2018-01-07T16:39:58.000Z | bazel/data2c.bzl | pagespeed/modpagespeed | 6199d78ec7bbff506d497d880fbf0ac9e917c0aa | [
"MIT"
] | 100 | 2018-01-08T11:49:19.000Z | 2022-02-13T05:53:04.000Z | def data2c_gen2(name, srcs):
for f in srcs:
native.genrule(
name = name + "_" + f,
srcs = [f + "_dbg.js"],
outs = [f + ".cc"],
cmd = "$(location //net/instaweb/js:data2c) --data_file=$< --c_file=$@ --varname=JS_" + f,
tools = ["//net/instaweb/js:data2c"],
)
# XXX(oschaaf): actually minify these.
def data2c_gen2_opt(name, srcs):
for f in srcs:
native.genrule(
name = name + "_" + f + "_opt",
srcs = [f + "_opt.js"],
outs = [f + "_opt.cc"],
cmd = "$(location //net/instaweb/js:data2c) --data_file=$< --c_file=$@ --varname=JS_" + f + "_opt",
tools = ["//net/instaweb/js:data2c"],
)
def data2c_gen2_admin_js(name, srcs, opt):
for f in srcs:
native.genrule(
name = "js_" + name + "_" + f + ("_opt" if opt else ""),
srcs = [f + ("_opt" if opt else "_dbg") + ".js"],
outs = ["js_" + f + ("_opt" if opt else "") + ".cc"],
cmd = "$(location //net/instaweb/js:data2c) --data_file=$< --c_file=$@ --varname=JS_" + f + "_js" + ("_opt" if opt else ""),
tools = ["//net/instaweb/js:data2c"],
)
def data2c_gen2_admin_css(name, srcs, opt):
for f in srcs:
native.genrule(
name = "css_" + name + "_" + f + ("_opt" if opt else ""),
srcs = [f + ".css"],
outs = ["css_" + f + ("_opt" if opt else "") + ".cc"],
cmd = "$(location //net/instaweb/js:data2c) --data_file=$< --c_file=$@ --varname=CSS_" + f + "_css" + ("_opt" if opt else ""),
tools = ["//net/instaweb/js:data2c"],
)
| 40.02381 | 138 | 0.471148 | 204 | 1,681 | 3.666667 | 0.161765 | 0.048128 | 0.139037 | 0.203209 | 0.816845 | 0.768717 | 0.768717 | 0.768717 | 0.709893 | 0.533422 | 0 | 0.014035 | 0.321832 | 1,681 | 41 | 139 | 41 | 0.642105 | 0.021416 | 0 | 0.333333 | 0 | 0.111111 | 0.308582 | 0.119294 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 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 |
a1e60752557b2f0a61295e80cf1e85ac43dd0465 | 2,137 | py | Python | test_server.py | bashkirtsevich/torlist | 144d04339a83bc42d61f19ef1a8f8f158102e891 | [
"MIT"
] | null | null | null | test_server.py | bashkirtsevich/torlist | 144d04339a83bc42d61f19ef1a8f8f158102e891 | [
"MIT"
] | null | null | null | test_server.py | bashkirtsevich/torlist | 144d04339a83bc42d61f19ef1a8f8f158102e891 | [
"MIT"
] | null | null | null | import unittest
from torlist_server import app
import json
class TestCase(unittest.TestCase):
def test_index(self):
with app.test_client() as client:
response = client.get('/')
self.assertEqual(response.status_code, 200, "Wrong response code")
self.assertEqual(response.content_type, "application/json", "Wrong content type")
self.assertIsNotNone(response.data, "Empty response data")
r_dict = json.loads(response.data.decode("utf-8"))
self.assertTrue(isinstance(r_dict, dict), "Invalid JSON response type")
def test_get_last_update(self):
with app.test_client() as client:
response = client.get('/get_last_update')
self.assertEqual(response.status_code, 200, "Wrong response code")
self.assertEqual(response.content_type, "application/json", "Wrong content type")
self.assertIsNotNone(response.data, "Empty response data")
r_dict = json.loads(response.data.decode("utf-8"))
self.assertTrue(isinstance(r_dict, dict), "Invalid JSON response type")
self.assertTrue("result" in r_dict, "Missed 'result' dict in JSON response")
self.assertTrue(isinstance(r_dict["result"], str), "Invalid result type")
def test_is_contains_ip(self):
with app.test_client() as client:
response = client.get('/is_contains_ip/ub2435ierug39')
self.assertEqual(response.status_code, 200, "Wrong response code")
self.assertEqual(response.content_type, "application/json", "Wrong content type")
self.assertIsNotNone(response.data, "Empty response data")
r_dict = json.loads(response.data.decode("utf-8"))
self.assertTrue(isinstance(r_dict, dict), "Invalid JSON response type")
self.assertTrue("result" in r_dict, "Missed 'result' dict in JSON response")
self.assertTrue(isinstance(r_dict["result"], bool), "Invalid result type")
self.assertTrue(r_dict["result"] == False, "Invalid result value")
if __name__ == '__main__':
unittest.main()
| 46.456522 | 93 | 0.662143 | 256 | 2,137 | 5.371094 | 0.210938 | 0.04 | 0.100364 | 0.090909 | 0.797091 | 0.797091 | 0.797091 | 0.797091 | 0.797091 | 0.797091 | 0 | 0.010804 | 0.220402 | 2,137 | 45 | 94 | 47.488889 | 0.814526 | 0 | 0 | 0.571429 | 0 | 0 | 0.245672 | 0.01357 | 0 | 0 | 0 | 0 | 0.485714 | 1 | 0.085714 | false | 0 | 0.085714 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
a1f4810d45c6cf80699adeed14a753b95774bf80 | 7,306 | py | Python | project/nutrihacker/tests/test_diet_and_allergies.py | COSC481W-2020Fall/cosc481w-581-2020-fall-nutrition-helper | a8ddb4b8c0703e376d5bb0f668ef003e2ed203e8 | [
"MIT"
] | 1 | 2021-03-18T00:12:09.000Z | 2021-03-18T00:12:09.000Z | project/nutrihacker/tests/test_diet_and_allergies.py | COSC481W-2020Fall/cosc481w-581-2020-fall-nutrition-helper | a8ddb4b8c0703e376d5bb0f668ef003e2ed203e8 | [
"MIT"
] | 104 | 2020-09-09T18:52:33.000Z | 2020-12-16T15:17:56.000Z | project/nutrihacker/tests/test_diet_and_allergies.py | COSC481W-2020Fall/cosc481w-581-2020-fall-nutrition-helper | a8ddb4b8c0703e376d5bb0f668ef003e2ed203e8 | [
"MIT"
] | 1 | 2021-03-17T21:35:51.000Z | 2021-03-17T21:35:51.000Z | from django.test import TestCase
from django.urls import reverse
from django.contrib.auth.models import User
from nutrihacker.models import Allergy, DietPreference, Profile
def login_user(client):
name = 'test'
pword = 'djangotest159'
user = User.objects.create_user(name, password=pword)
client.login(username=name, password=pword)
return user
def create_allergies(profile):
names = ['Peanut Allergy', 'Fish Allergy', 'Milk Allergy']
for allergy_name in names:
allergy = Allergy.objects.create(name=allergy_name)
allergy.profiles.add(profile)
def create_diets(profile):
names = ['Vegetarian', 'Vegan', 'Pescatarian']
for diet_name in names:
diet = DietPreference.objects.create(name=diet_name)
diet.profiles.add(profile)
class AddAllergyTests(TestCase):
# checks if allergy is added and if redirected back to diet_and_allergies page
def test_add(self):
allergy_name = 'Peanut Allergy'
Allergy.objects.create(name=allergy_name)
user = login_user(self.client)
response = self.client.post(reverse('nutrihacker:add_allergy'), {'allergy_select': 1}, follow=True)
self.assertQuerysetEqual(Allergy.objects.filter(profiles = Profile.objects.get(user=user)), ['<Allergy: ' + allergy_name + '>'])
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
# attempts to adds allergy that doesn't exist
def test_bad_form(self):
user = login_user(self.client)
response = self.client.post(reverse('nutrihacker:add_allergy'), {'allergy_select': 99}, follow=True)
self.assertQuerysetEqual(Allergy.objects.filter(profiles = Profile.objects.get(user=user)), [])
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
# get request, should redirect back to diet_and_allergies page
def test_get(self):
user = login_user(self.client)
response = self.client.get(reverse('nutrihacker:add_allergy'), follow=True)
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
class AddDietPreferenceTests(TestCase):
# checks if diet preference is added and if redirected back to diet_and_allergies page
def test_add(self):
diet_name = 'Vegetarian'
DietPreference.objects.create(name=diet_name)
user = login_user(self.client)
response = self.client.post(reverse('nutrihacker:add_diet_preference'), {'diet_select': 1}, follow=True)
self.assertQuerysetEqual(DietPreference.objects.filter(profiles = Profile.objects.get(user=user)), ['<DietPreference: ' + diet_name + '>'])
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
# attempts to adds diet preference that doesn't exist
def test_bad_form(self):
user = login_user(self.client)
response = self.client.post(reverse('nutrihacker:add_diet_preference'), {'diet_select': 99}, follow=True)
self.assertQuerysetEqual(DietPreference.objects.filter(profiles = Profile.objects.get(user=user)), [])
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
# get request, should redirect back to diet_and_allergies page
def test_get(self):
user = login_user(self.client)
response = self.client.get(reverse('nutrihacker:add_diet_preference'), follow=True)
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
class DeleteAllergyTests(TestCase):
def test_delete_single(self):
user = login_user(self.client)
create_allergies(Profile.objects.get(user=user))
response = self.client.post(reverse('nutrihacker:delete_allergy'), {'allergy_checkbox': [1]}, follow=True)
self.assertQuerysetEqual(Allergy.objects.filter(profiles = Profile.objects.get(user=user)), ['<Allergy: Fish Allergy>', '<Allergy: Milk Allergy>'], ordered=False)
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
def test_delete_multiple(self):
user = login_user(self.client)
create_allergies(Profile.objects.get(user=user))
response = self.client.post(reverse('nutrihacker:delete_allergy'), {'allergy_checkbox': [2,3]}, follow=True)
self.assertQuerysetEqual(Allergy.objects.filter(profiles = Profile.objects.get(user=user)), ['<Allergy: Peanut Allergy>'])
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
def test_bad_form(self):
user = login_user(self.client)
create_allergies(Profile.objects.get(user=user))
response = self.client.post(reverse('nutrihacker:delete_allergy'), {'fake': 99}, follow=True)
self.assertQuerysetEqual(Allergy.objects.filter(profiles = Profile.objects.get(user=user)), ['<Allergy: Peanut Allergy>', '<Allergy: Fish Allergy>', '<Allergy: Milk Allergy>'], ordered=False)
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
def test_get(self):
user = login_user(self.client)
response = self.client.get(reverse('nutrihacker:delete_allergy'), follow=True)
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
class DeleteDietPreferenceTests(TestCase):
def test_delete_single(self):
user = login_user(self.client)
create_diets(Profile.objects.get(user=user))
response = self.client.post(reverse('nutrihacker:delete_diet_preference'), {'diet_checkbox': [1]}, follow=True)
self.assertQuerysetEqual(DietPreference.objects.filter(profiles = Profile.objects.get(user=user)), ['<DietPreference: Vegan>', '<DietPreference: Pescatarian>'], ordered=False)
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
def test_delete_multiple(self):
user = login_user(self.client)
create_diets(Profile.objects.get(user=user))
response = self.client.post(reverse('nutrihacker:delete_diet_preference'), {'diet_checkbox': [2,3]}, follow=True)
self.assertQuerysetEqual(DietPreference.objects.filter(profiles = Profile.objects.get(user=user)), ['<DietPreference: Vegetarian>'])
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
def test_bad_form(self):
user = login_user(self.client)
create_diets(Profile.objects.get(user=user))
response = self.client.post(reverse('nutrihacker:delete_diet_preference'), {'fake': 99}, follow=True)
self.assertQuerysetEqual(DietPreference.objects.filter(profiles = Profile.objects.get(user=user)), ['<DietPreference: Vegetarian>', '<DietPreference: Vegan>', '<DietPreference: Pescatarian>'], ordered=False)
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
def test_get(self):
user = login_user(self.client)
response = self.client.get(reverse('nutrihacker:delete_diet_preference'), follow=True)
self.assertEqual(response.redirect_chain, [(reverse('nutrihacker:diet_and_allergies'), 302)])
| 63.530435 | 215 | 0.718587 | 857 | 7,306 | 5.968495 | 0.103851 | 0.054741 | 0.056305 | 0.065689 | 0.864907 | 0.864907 | 0.848876 | 0.832454 | 0.832454 | 0.832454 | 0 | 0.009826 | 0.150287 | 7,306 | 115 | 216 | 63.530435 | 0.814111 | 0.051875 | 0 | 0.48 | 0 | 0 | 0.198526 | 0.118769 | 0 | 0 | 0 | 0 | 0.24 | 1 | 0.17 | false | 0.02 | 0.04 | 0 | 0.26 | 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 |
b807898801131b05aa855f903f76074a62d304af | 1,307 | py | Python | test/test_prerun.py | NeatNerdPrime/ansible-lint | 262268f6386dc3afc8cb2b9327c1aa0af5e61632 | [
"MIT"
] | null | null | null | test/test_prerun.py | NeatNerdPrime/ansible-lint | 262268f6386dc3afc8cb2b9327c1aa0af5e61632 | [
"MIT"
] | null | null | null | test/test_prerun.py | NeatNerdPrime/ansible-lint | 262268f6386dc3afc8cb2b9327c1aa0af5e61632 | [
"MIT"
] | null | null | null | """Tests related to prerun part of the linter."""
import os
from flaky import flaky
from ansiblelint.testing import run_ansible_lint
# https://github.com/box/flaky/issues/170
@flaky(max_runs=3) # type: ignore
def test_prerun_reqs_v1() -> None:
"""Checks that the linter can auto-install requirements v1 when found."""
cwd = os.path.realpath(
os.path.join(
os.path.dirname(os.path.realpath(__file__)), "..", "examples", "reqs_v1"
)
)
result = run_ansible_lint(".", cwd=cwd)
assert "Running ansible-galaxy role install" in result.stderr, result.stderr
assert (
"Running ansible-galaxy collection install" not in result.stderr
), result.stderr
assert result.returncode == 0, result
@flaky(max_runs=3) # type: ignore
def test_prerun_reqs_v2() -> None:
"""Checks that the linter can auto-install requirements v2 when found."""
cwd = os.path.realpath(
os.path.join(
os.path.dirname(os.path.realpath(__file__)), "..", "examples", "reqs_v2"
)
)
result = run_ansible_lint(".", cwd=cwd)
assert "Running ansible-galaxy role install" in result.stderr, result.stderr
assert "Running ansible-galaxy collection install" in result.stderr, result.stderr
assert result.returncode == 0, result
| 34.394737 | 86 | 0.677123 | 175 | 1,307 | 4.92 | 0.342857 | 0.055749 | 0.065041 | 0.12079 | 0.824623 | 0.824623 | 0.824623 | 0.824623 | 0.824623 | 0.710801 | 0 | 0.012428 | 0.199694 | 1,307 | 37 | 87 | 35.324324 | 0.810707 | 0.188217 | 0 | 0.444444 | 0 | 0 | 0.180249 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 1 | 0.074074 | false | 0 | 0.111111 | 0 | 0.185185 | 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 |
b810c675d3e4b0825326f0f49aa1a9479e99c963 | 5,756 | py | Python | rpg_array.py | juanjnc/TGBot | 3a4a7fa788f749397bd6c26245fd6d5cfd07a61e | [
"MIT"
] | null | null | null | rpg_array.py | juanjnc/TGBot | 3a4a7fa788f749397bd6c26245fd6d5cfd07a61e | [
"MIT"
] | null | null | null | rpg_array.py | juanjnc/TGBot | 3a4a7fa788f749397bd6c26245fd6d5cfd07a61e | [
"MIT"
] | null | null | null | import time
from random import randint
from telegram import Update, ChatAction
from telegram.ext import CallbackContext
def osr(update: Update, context: CallbackContext):
"""Genera stats para OSR. Lanza 3d6."""
context.bot.sendChatAction(chat_id=update.message.chat_id, action=ChatAction.TYPING, timeout=30)
arr = []
for i in range(6): # Tira 3d6 ordena y suma. Repite 6 veces.
score = []
for j in range(3): # Bucle de los 3d6.
score.append(randint(1, 6))
score.sort(reverse=True), arr.append(sum(score))
arr.sort() # Ordena la puntuación para presentarla.
time.sleep(5)
update.message.reply_text(text=f'Tu _array_ para juegos basados en el _OSR, B/X y AD&D_:\n*{arr}* \n\n'
f'Se han generado tirando 3d6', parse_mode='MarkdownV2')
def d20(update: Update, context: CallbackContext):
"""Genera stats para d20. Lanza 4d6 rechaza el más bajo."""
context.bot.sendChatAction(chat_id=update.message.chat_id, action=ChatAction.TYPING, timeout=30)
arr = []
for i in range(6): # Tira 4d6 ordena, descarta el menor y suma. Repite 6 veces.
score = []
for j in range(4): # Bucle de los 4d6.
score.append(randint(1, 6))
score.sort(reverse=True), score.pop(), arr.append(sum(score))
arr.sort() # Ordena la puntuación para presentarla.
time.sleep(5)
update.message.reply_text(text=f'Tu _array_ para juegos basados en _d20_ es:\n*{arr}* \n\n'
f'Se han generado tirando 4d6 rechazando el valor más bajo', parse_mode='MarkdownV2')
def microlite3d6(update: Update, context: CallbackContext):
"""Genera stats para Microlite20. Lanza 3d6."""
context.bot.sendChatAction(chat_id=update.message.chat_id, action=ChatAction.TYPING, timeout=30)
arr = []
for i in range(3): # Tira 3d6 ordena y suma. Repite 3 veces.
score = []
for j in range(3): # Bucle de los 3d6.
score.append(randint(1, 6))
score.sort(reverse=True), arr.append(sum(score))
arr.sort() # Ordena la puntuación para presentarla.
time.sleep(5)
update.message.reply_text(text=f'Tu _array_ para _Microlite20_ y derivados es: *{arr}* \n\n'
f'Se han generado tirando 3d6 como en el OSR, B/X y AD&D', parse_mode='MarkdownV2')
def microlite4d6(update: Update, context: CallbackContext):
"""Genera stats para Microlite20. Lanza 4d6 rechaza el más bajo."""
context.bot.sendChatAction(chat_id=update.message.chat_id, action=ChatAction.TYPING, timeout=30)
arr = []
for i in range(3): # Tira 4d6 ordena, descarta el menor y suma. Repite 6 veces.
score = []
for j in range(4): # Bucle de los 4d6.
score.append(randint(1, 6))
score.sort(reverse=True), score.pop(), arr.append(sum(score))
arr.sort() # Ordena la puntuación para presentarla.
time.sleep(5)
update.message.reply_text(text=f'Tu _array_ para _Microlite20_ y derivados es: *{arr}* \n\n'
f'Se han generado tirando 4d6 rechazando el valor más bajo', parse_mode='MarkdownV2')
def coc(update: Update, context: CallbackContext):
"""Lanza las stats de CoC hasta 6ma."""
context.bot.sendChatAction(chat_id=update.message.chat_id, action=ChatAction.TYPING, timeout=30)
arr_1, arr_2 = [], []
edu = []
for grupo1 in range(5): # Tira 3d6 y suma. 5 veces. STR, CON, DEX, APP y POW.
score = []
for j in range(3):
score.append(randint(1, 6))
score.sort(reverse=True), arr_1.append(sum(score))
for grupo2 in range(3): # Tira 2d6+6 y suma. 2 veces. SIZ, INT.
score = []
for j in range(2):
score.append(randint(1, 6))
score.append(6), score.sort(reverse=True), arr_2.append(sum(score))
for education in range(3): # Tira 3d6 + 3 para EDU.
edu.append(randint(1, 6))
arr_1.sort(), arr_2.sort()
edu = sum(edu) + 3
time.sleep(5)
update.message.reply_text(text=
f'Tu array para _STR, CON, DEX, APP y POW_ es:\n*{arr_1}* '
f'\n\nTu array para _INT y SIZ_ es:\n*{arr_2}*'
f'\n\nTu _EDU_ es: *[{edu}]*'
f'\n\nSe han generado usando las tiradas de _Call of Cthulhu 6ª Edición_',
parse_mode='MarkdownV2')
def coc7(update: Update, context: CallbackContext):
"""Lanza las stats de CoC 7ma."""
context.bot.sendChatAction(chat_id=update.message.chat_id, action=ChatAction.TYPING, timeout=30)
arr_1, arr_2, = [], []
luck = []
for grupo1 in range(5): # Tira 3d6 suma y multiplica. 5 veces. STR, CON, DEX, APP y POW.
score = []
for j in range(3):
score.append(randint(1, 6))
score.sort(reverse=True), arr_1.append(sum(score) * 5)
for grupo2 in range(3): # Tira 2d6+6 suma y multiplica. 3 veces. SIZ, INT y EDU.
score = []
for j in range(2):
score.append(randint(1, 6))
score.append(6), score.sort(reverse=True), arr_2.append(sum(score) * 5)
for suerte in range(3): # Tira 3d6 para Luck.
luck.append(randint(1, 6))
arr_1.sort(), arr_2.sort()
luck = sum(luck) * 5
time.sleep(5)
update.message.reply_text(text=
f'Tu array para _STR, CON, DEX, APP y POW_ es:\n*{arr_1}* '
f'\n\nTu array para _SIZ, INT y EDU_ es:\n*{arr_2}*'
f'\n\nTu _LUCK_ es: *[{luck}]*'
f'\n\nSe han generado usando las tiradas de _Call of Cthulhu 7ª Edición_',
parse_mode='MarkdownV2')
| 47.570248 | 115 | 0.605629 | 835 | 5,756 | 4.088623 | 0.150898 | 0.036907 | 0.023433 | 0.043937 | 0.869361 | 0.85911 | 0.850615 | 0.80082 | 0.779145 | 0.703574 | 0 | 0.039496 | 0.269805 | 5,756 | 120 | 116 | 47.966667 | 0.772781 | 0.161744 | 0 | 0.666667 | 0 | 0.009804 | 0.187147 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.039216 | 0 | 0.098039 | 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 |
b819476b42a2fdaffab42be3272034d8900abe03 | 5,082 | py | Python | rdr_service/alembic/versions/f4316bf05797_add_education_and_disability_for_.py | all-of-us/raw-data-repository | d28ad957557587b03ff9c63d55dd55e0508f91d8 | [
"BSD-3-Clause"
] | 39 | 2017-10-13T19:16:27.000Z | 2021-09-24T16:58:21.000Z | rdr_service/alembic/versions/f4316bf05797_add_education_and_disability_for_.py | all-of-us/raw-data-repository | d28ad957557587b03ff9c63d55dd55e0508f91d8 | [
"BSD-3-Clause"
] | 312 | 2017-09-08T15:42:13.000Z | 2022-03-23T18:21:40.000Z | rdr_service/alembic/versions/f4316bf05797_add_education_and_disability_for_.py | all-of-us/raw-data-repository | d28ad957557587b03ff9c63d55dd55e0508f91d8 | [
"BSD-3-Clause"
] | 19 | 2017-09-15T13:58:00.000Z | 2022-02-07T18:33:20.000Z | """add education and disability for workbench research
Revision ID: f4316bf05797
Revises: 038364a84126
Create Date: 2020-01-09 14:48:57.556654
"""
from alembic import op
import sqlalchemy as sa
import rdr_service.model.utils
from rdr_service.participant_enums import WorkbenchResearcherEducation, WorkbenchResearcherDisability
# revision identifiers, used by Alembic.
revision = 'f4316bf05797'
down_revision = '038364a84126'
branch_labels = None
depends_on = None
def upgrade(engine_name):
globals()["upgrade_%s" % engine_name]()
def downgrade(engine_name):
globals()["downgrade_%s" % engine_name]()
def upgrade_rdr():
# ### commands auto generated by Alembic - please adjust! ###
op.add_column('workbench_researcher', sa.Column('disability',
rdr_service.model.utils.Enum(WorkbenchResearcherDisability),
nullable=True))
op.add_column('workbench_researcher', sa.Column('education',
rdr_service.model.utils.Enum(WorkbenchResearcherEducation),
nullable=True))
op.add_column('workbench_researcher_history', sa.Column('disability',
rdr_service.model.utils.Enum(WorkbenchResearcherDisability),
nullable=True))
op.add_column('workbench_researcher_history', sa.Column('education',
rdr_service.model.utils.Enum(WorkbenchResearcherEducation),
nullable=True))
op.execute("ALTER TABLE workbench_researcher CHANGE COLUMN `created` `created` DATETIME(6);")
op.execute("ALTER TABLE workbench_researcher CHANGE COLUMN `modified` `modified` DATETIME(6);")
op.execute("ALTER TABLE workbench_researcher_history CHANGE COLUMN `created` `created` DATETIME(6);")
op.execute("ALTER TABLE workbench_researcher_history CHANGE COLUMN `modified` `modified` DATETIME(6);")
op.execute("ALTER TABLE workbench_researcher CHANGE COLUMN `creation_time` `creation_time` DATETIME(6);")
op.execute("ALTER TABLE workbench_researcher CHANGE COLUMN `modified_time` `modified_time` DATETIME(6);")
op.execute("ALTER TABLE workbench_researcher_history CHANGE COLUMN `creation_time` `creation_time` DATETIME(6);")
op.execute("ALTER TABLE workbench_researcher_history CHANGE COLUMN `modified_time` `modified_time` DATETIME(6);")
op.execute("ALTER TABLE workbench_institutional_affiliations CHANGE COLUMN `created` `created` DATETIME(6);")
op.execute("ALTER TABLE workbench_institutional_affiliations CHANGE COLUMN `modified` `modified` DATETIME(6);")
op.execute("ALTER TABLE workbench_institutional_affiliations_history CHANGE COLUMN `created` `created` "
"DATETIME(6);")
op.execute("ALTER TABLE workbench_institutional_affiliations_history CHANGE COLUMN `modified` `modified` "
"DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace CHANGE COLUMN `created` `created` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace CHANGE COLUMN `modified` `modified` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace_history CHANGE COLUMN `created` `created` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace_history CHANGE COLUMN `modified` `modified` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace CHANGE COLUMN `creation_time` `creation_time` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace CHANGE COLUMN `modified_time` `modified_time` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace_history CHANGE COLUMN `creation_time` `creation_time` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace_history CHANGE COLUMN `modified_time` `modified_time` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace_user CHANGE COLUMN `created` `created` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace_user CHANGE COLUMN `modified` `modified` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace_user_history CHANGE COLUMN `created` `created` DATETIME(6);")
op.execute("ALTER TABLE workbench_workspace_user_history CHANGE COLUMN `modified` `modified` DATETIME(6);")
# ### end Alembic commands ###
def downgrade_rdr():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_column('workbench_researcher_history', 'education')
op.drop_column('workbench_researcher_history', 'disability')
op.drop_column('workbench_researcher', 'education')
op.drop_column('workbench_researcher', 'disability')
# ### end Alembic commands ###
def upgrade_metrics():
# ### commands auto generated by Alembic - please adjust! ###
pass
# ### end Alembic commands ###
def downgrade_metrics():
# ### commands auto generated by Alembic - please adjust! ###
pass
# ### end Alembic commands ###
| 52.391753 | 120 | 0.692444 | 546 | 5,082 | 6.261905 | 0.148352 | 0.063176 | 0.098274 | 0.133372 | 0.844691 | 0.82334 | 0.787365 | 0.771863 | 0.761334 | 0.73384 | 0 | 0.020741 | 0.20307 | 5,082 | 96 | 121 | 52.9375 | 0.823457 | 0.095828 | 0 | 0.2 | 0 | 0 | 0.54979 | 0.133363 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.033333 | 0.066667 | 0 | 0.166667 | 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 |
62dea325b79fa989387f6e5c2ac668f5c1d21d05 | 79 | py | Python | onion/__init__.py | ksk001100/onion | 318429ba6a14da996d02d7c96cbbed18a51f5adc | [
"MIT"
] | null | null | null | onion/__init__.py | ksk001100/onion | 318429ba6a14da996d02d7c96cbbed18a51f5adc | [
"MIT"
] | null | null | null | onion/__init__.py | ksk001100/onion | 318429ba6a14da996d02d7c96cbbed18a51f5adc | [
"MIT"
] | null | null | null | from onion.onion import Onion
from onion.request import get, post, put, delete
| 26.333333 | 48 | 0.797468 | 13 | 79 | 4.846154 | 0.615385 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139241 | 79 | 2 | 49 | 39.5 | 0.926471 | 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 |
62e15eb45a5f0d355e4b1f3758df64a477e52fb4 | 373 | py | Python | Python 3/PyGame/Matrix_based_3D/testsmatrixes.py | DarkShadow4/python | 4cd94e0cf53ee06c9c31e9272572ca9656697c30 | [
"MIT"
] | null | null | null | Python 3/PyGame/Matrix_based_3D/testsmatrixes.py | DarkShadow4/python | 4cd94e0cf53ee06c9c31e9272572ca9656697c30 | [
"MIT"
] | null | null | null | Python 3/PyGame/Matrix_based_3D/testsmatrixes.py | DarkShadow4/python | 4cd94e0cf53ee06c9c31e9272572ca9656697c30 | [
"MIT"
] | 1 | 2020-08-19T17:25:22.000Z | 2020-08-19T17:25:22.000Z | initial_sight = [
[1, 0, 0, 1],
[0, 1, 0, 1],
[0, 0, 1, 1],
[0, 0, 0, 1]
]
total_xRotation = [
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]
]
total_yRotation = [
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]
]
total_zRotation = [
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]
]
| 13.321429 | 19 | 0.327078 | 72 | 373 | 1.638889 | 0.111111 | 0.525424 | 0.483051 | 0.338983 | 0.627119 | 0.491525 | 0.491525 | 0.491525 | 0.491525 | 0.491525 | 0 | 0.283186 | 0.394102 | 373 | 27 | 20 | 13.814815 | 0.238938 | 0 | 0 | 0.541667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
a7edafb4a450ead3b495e6d2cf08dd657e4c3a90 | 238 | py | Python | authentication/socialaccount/providers/auth0/urls.py | vo0doO/pydj-persweb | efcd6b7090230f7c0b9ec056008f6d1d9e876ed9 | [
"CC0-1.0"
] | null | null | null | authentication/socialaccount/providers/auth0/urls.py | vo0doO/pydj-persweb | efcd6b7090230f7c0b9ec056008f6d1d9e876ed9 | [
"CC0-1.0"
] | 4 | 2020-05-06T17:22:00.000Z | 2021-12-13T20:43:30.000Z | authentication/socialaccount/providers/auth0/urls.py | vo0doO/pydj-persweb | efcd6b7090230f7c0b9ec056008f6d1d9e876ed9 | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
from authentication.socialaccount.providers.auth0.provider import Auth0Provider
from authentication.socialaccount.providers.oauth2.urls import default_urlpatterns
urlpatterns = default_urlpatterns(Auth0Provider)
| 34 | 82 | 0.840336 | 24 | 238 | 8.25 | 0.625 | 0.181818 | 0.313131 | 0.40404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022727 | 0.07563 | 238 | 6 | 83 | 39.666667 | 0.877273 | 0.088235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
a7ee0c461ab12a88980229f8342a4596f2723dd9 | 218 | py | Python | python_modules/dagster-dask/dagster_dask_tests/conftest.py | shahvineet98/dagster | 2471d39c52f660e23e8c0d8e8ded873ddc3df036 | [
"Apache-2.0"
] | 3 | 2020-09-09T04:10:23.000Z | 2021-11-08T02:10:42.000Z | python_modules/dagster-dask/dagster_dask_tests/conftest.py | shahvineet98/dagster | 2471d39c52f660e23e8c0d8e8ded873ddc3df036 | [
"Apache-2.0"
] | 2 | 2021-05-11T13:36:27.000Z | 2021-09-03T01:53:11.000Z | python_modules/dagster-dask/dagster_dask_tests/conftest.py | shahvineet98/dagster | 2471d39c52f660e23e8c0d8e8ded873ddc3df036 | [
"Apache-2.0"
] | 1 | 2021-02-21T12:16:47.000Z | 2021-02-21T12:16:47.000Z | import os
import pytest
@pytest.fixture(scope='session')
def dask_address():
return os.getenv('DASK_ADDRESS', 'localhost')
@pytest.fixture(scope='session')
def s3_bucket():
yield 'dagster-scratch-80542c2'
| 15.571429 | 49 | 0.724771 | 28 | 218 | 5.535714 | 0.642857 | 0.167742 | 0.232258 | 0.322581 | 0.36129 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036842 | 0.12844 | 218 | 13 | 50 | 16.769231 | 0.778947 | 0 | 0 | 0.25 | 0 | 0 | 0.266055 | 0.105505 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.25 | 0.125 | 0.625 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 |
c513f0e2d3a91edebdb4b8e319e048242df8d10f | 2,562 | py | Python | epytope/Data/pssms/smm/mat/A_03_01_10.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 7 | 2021-02-01T18:11:28.000Z | 2022-01-31T19:14:07.000Z | epytope/Data/pssms/smm/mat/A_03_01_10.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 22 | 2021-01-02T15:25:23.000Z | 2022-03-14T11:32:53.000Z | epytope/Data/pssms/smm/mat/A_03_01_10.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 4 | 2021-05-28T08:50:38.000Z | 2022-03-14T11:45:32.000Z | A_03_01_10 = {0: {'A': -0.367, 'C': -0.012, 'E': 0.683, 'D': 0.527, 'G': -0.097, 'F': 0.107, 'I': -0.275, 'H': -0.149, 'K': -0.462, 'M': -0.427, 'L': -0.101, 'N': 0.273, 'Q': 0.056, 'P': 0.739, 'S': -0.13, 'R': -0.585, 'T': -0.013, 'W': 0.144, 'V': 0.0, 'Y': 0.087}, 1: {'A': -0.031, 'C': 0.609, 'E': 0.454, 'D': 0.881, 'G': 0.372, 'F': -0.007, 'I': -0.641, 'H': -0.304, 'K': 0.616, 'M': -0.867, 'L': -0.835, 'N': 0.71, 'Q': -0.091, 'P': 0.203, 'S': -0.3, 'R': 0.479, 'T': -0.571, 'W': 0.115, 'V': -0.551, 'Y': -0.24}, 2: {'A': -0.008, 'C': -0.008, 'E': 0.543, 'D': 0.238, 'G': 0.17, 'F': -0.192, 'I': -0.121, 'H': -0.029, 'K': 0.167, 'M': -0.55, 'L': -0.318, 'N': -0.02, 'Q': 0.267, 'P': 0.286, 'S': -0.06, 'R': -0.13, 'T': 0.21, 'W': 0.101, 'V': 0.054, 'Y': -0.602}, 3: {'A': -0.116, 'C': -0.078, 'E': 0.385, 'D': 0.04, 'G': -0.057, 'F': -0.322, 'I': 0.029, 'H': 0.143, 'K': 0.18, 'M': -0.098, 'L': 0.047, 'N': -0.126, 'Q': 0.137, 'P': -0.019, 'S': 0.008, 'R': 0.022, 'T': 0.008, 'W': -0.02, 'V': 0.115, 'Y': -0.277}, 4: {'A': -0.186, 'C': -0.066, 'E': 0.399, 'D': 0.419, 'G': -0.1, 'F': -0.218, 'I': 0.089, 'H': -0.15, 'K': -0.027, 'M': 0.02, 'L': 0.021, 'N': 0.105, 'Q': 0.009, 'P': 0.043, 'S': 0.152, 'R': -0.082, 'T': -0.002, 'W': -0.333, 'V': -0.049, 'Y': -0.044}, 5: {'A': -0.059, 'C': 0.048, 'E': 0.279, 'D': 0.427, 'G': -0.004, 'F': -0.066, 'I': -0.137, 'H': -0.035, 'K': -0.031, 'M': -0.007, 'L': 0.038, 'N': 0.05, 'Q': 0.012, 'P': -0.148, 'S': -0.073, 'R': -0.056, 'T': -0.175, 'W': -0.019, 'V': -0.069, 'Y': 0.025}, 6: {'A': 0.077, 'C': -0.036, 'E': 0.477, 'D': 0.521, 'G': -0.079, 'F': -0.251, 'I': -0.018, 'H': -0.108, 'K': 0.125, 'M': -0.254, 'L': -0.232, 'N': 0.117, 'Q': 0.152, 'P': -0.006, 'S': -0.161, 'R': -0.057, 'T': -0.169, 'W': -0.01, 'V': 0.057, 'Y': -0.143}, 7: {'A': -0.082, 'C': -0.076, 'E': 0.236, 'D': 0.334, 'G': 0.14, 'F': -0.113, 'I': -0.156, 'H': 0.024, 'K': 0.291, 'M': -0.362, 'L': -0.363, 'N': 0.256, 'Q': 0.277, 'P': 0.053, 'S': -0.206, 'R': 0.001, 'T': -0.014, 'W': -0.13, 'V': -0.023, 'Y': -0.088}, 8: {'A': -0.009, 'C': 0.102, 'E': 0.093, 'D': 0.363, 'G': -0.065, 'F': -0.335, 'I': 0.241, 'H': 0.009, 'K': 0.135, 'M': -0.079, 'L': -0.223, 'N': 0.029, 'Q': 0.233, 'P': -0.129, 'S': 0.009, 'R': 0.048, 'T': -0.031, 'W': -0.148, 'V': 0.12, 'Y': -0.364}, 9: {'A': 0.001, 'C': 0.215, 'E': 0.187, 'D': 0.265, 'G': 0.157, 'F': 0.038, 'I': 0.185, 'H': 0.008, 'K': -1.838, 'M': -0.003, 'L': 0.246, 'N': -0.101, 'Q': 0.908, 'P': 0.196, 'S': 0.297, 'R': -0.685, 'T': 0.35, 'W': 0.127, 'V': 0.349, 'Y': -0.903}, -1: {'con': 4.7022}} | 2,562 | 2,562 | 0.391491 | 618 | 2,562 | 1.618123 | 0.313916 | 0.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.370577 | 0.161593 | 2,562 | 1 | 2,562 | 2,562 | 0.094972 | 0 | 0 | 0 | 0 | 0 | 0.079204 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
c5527b24cf5adb6f31c950d3ba90d2c313c0894f | 279 | py | Python | e.g._double_underscore_prefix_module/target.py | thinkAmi-sandbox/python_pytest-sample | 75454eae807e7214840c9a720694cd3ca1715653 | [
"Unlicense"
] | 2 | 2017-10-26T05:22:07.000Z | 2021-04-29T17:36:53.000Z | e.g._double_underscore_prefix_module/target.py | thinkAmi-sandbox/python_pytest-sample | 75454eae807e7214840c9a720694cd3ca1715653 | [
"Unlicense"
] | null | null | null | e.g._double_underscore_prefix_module/target.py | thinkAmi-sandbox/python_pytest-sample | 75454eae807e7214840c9a720694cd3ca1715653 | [
"Unlicense"
] | null | null | null | def _single_underscore_function():
return 'single'
def __double_underscore_function():
return 'double'
class Target(object):
def _single_underscore_method(self):
return 'single'
def __double_underscore_method(self):
return 'double' | 21.461538 | 42 | 0.684588 | 29 | 279 | 6.103448 | 0.37931 | 0.101695 | 0.214689 | 0.237288 | 0.350282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.232975 | 279 | 13 | 43 | 21.461538 | 0.827103 | 0 | 0 | 0.444444 | 0 | 0 | 0.089552 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.444444 | false | 0 | 0 | 0.444444 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
c56223026eb2d90c75f30d16e6d0b24ea5317c2a | 121 | py | Python | config/settings/local.py | gultu/modern-django | 6e2328ffa1eee9b255ad0bcb8deeb292895883eb | [
"MIT"
] | null | null | null | config/settings/local.py | gultu/modern-django | 6e2328ffa1eee9b255ad0bcb8deeb292895883eb | [
"MIT"
] | null | null | null | config/settings/local.py | gultu/modern-django | 6e2328ffa1eee9b255ad0bcb8deeb292895883eb | [
"MIT"
] | null | null | null | from .base import *
SECRET_KEY = env('DJANGO_SECRET_KEY', default='d)%k(fr!thud*t8l)^p!@1%!6%1d#p2f$7oo59g_((fapr)rt0')
| 30.25 | 99 | 0.694215 | 23 | 121 | 3.478261 | 0.913043 | 0.225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080357 | 0.07438 | 121 | 3 | 100 | 40.333333 | 0.633929 | 0 | 0 | 0 | 0 | 0.5 | 0.553719 | 0.413223 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
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