xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

b21bfec88e0dfd45846324420361a10ba1865cb9

193

py

Python

kleeneup/__init__.py

caiopo/kleeneup

0050054853ac7a3a2e40d492cc5fe741ef737191

[ "MIT" ]

null

kleeneup/__init__.py

caiopo/kleeneup

0050054853ac7a3a2e40d492cc5fe741ef737191

[ "MIT" ]

null

kleeneup/__init__.py

caiopo/kleeneup

0050054853ac7a3a2e40d492cc5fe741ef737191

[ "MIT" ]

1

2018-10-10T00:59:54.000Z

from .regular_grammar import RegularGrammar from .finite_automaton import FiniteAutomaton, State, Symbol, Sentence from .regular_expression import RegularExpression, StitchedBinaryTree, Lambda

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b22a4ac4d8d41f1f54853d90f7a7aa435b4d6a78

41

py

Python

test/python/echo_hi_then_error.py

WrkMetric/Python--NodeJS

502bb3d81152ef9a16fb618f71f9e9fc43777349

[ "MIT", "Unlicense" ]

1,869

2015-01-07T18:06:52.000Z

2022-03-30T08:35:39.000Z

test/python/echo_hi_then_error.py

PavanAnanthSharma/python-shell

502bb3d81152ef9a16fb618f71f9e9fc43777349

[ "MIT", "Unlicense" ]

252

2015-01-08T17:33:58.000Z

2022-03-31T09:04:38.000Z

test/python/echo_hi_then_error.py

PavanAnanthSharma/python-shell

502bb3d81152ef9a16fb618f71f9e9fc43777349

[ "MIT", "Unlicense" ]

238

2015-03-22T11:22:30.000Z

2022-03-15T22:01:44.000Z

print('hi') raise Exception('fibble-fah')

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b24b76ff37f2289a78c64dcda02fb884eb113dbd

227

py

Python

examples/scannet_normals/data.py

goodok/fastai_sparse

802ede772c19ccca7449eb13d0a107bc0c10ab0f

[ "MIT" ]

49

2019-03-31T21:20:27.000Z

2021-06-30T18:46:58.000Z

examples/scannet_normals/data.py

goodok/fastai_sparse

802ede772c19ccca7449eb13d0a107bc0c10ab0f

[ "MIT" ]

6

2019-04-17T16:01:05.000Z

2020-11-10T09:22:10.000Z

examples/scannet_normals/data.py

goodok/fastai_sparse

802ede772c19ccca7449eb13d0a107bc0c10ab0f

[ "MIT" ]

5

2019-04-01T10:46:29.000Z

2021-01-03T05:18:08.000Z

# -*- coding: utf-8 -*- from functools import partial from fastai_sparse.data import SparseDataBunch merge_fn = partial(SparseDataBunch.merge_fn, keys_lists=['id', 'labels_raw', 'filtred_mask', 'random_seed', 'num_points'])

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5

b26fb5509497d72210ea4f3275edb63a6b2bc440

85

py

Python

tests/__init__.py

doublechiang/qsmcmd

63e31390de020472c6ff4284cbe2d2c5147cb13d

[ "MIT" ]

1

2021-05-07T09:57:01.000Z

tests/__init__.py

doublechiang/qsmcmd

63e31390de020472c6ff4284cbe2d2c5147cb13d

[ "MIT" ]

30

2017-08-24T21:21:03.000Z

2021-01-21T19:32:36.000Z

tests/__init__.py

doublechiang/qsmcmd

63e31390de020472c6ff4284cbe2d2c5147cb13d

[ "MIT" ]

null

import os, sys sys.path.insert(0, os.path.join(os.path.dirname(__file__),'../src'))

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b293c4e951eab343a95232f50c197cd3ae253ad6

126

py

Python

database_email_backend/__init__.py

enderlabs/django-database-email-backend

aad6bade66d076b5425f772430adc7e77e60f5ce

[ "MIT" ]

1

2016-01-15T18:54:59.000Z

database_email_backend/__init__.py

enderlabs/django-database-email-backend

aad6bade66d076b5425f772430adc7e77e60f5ce

[ "MIT" ]

1

2015-11-04T22:19:21.000Z

database_email_backend/__init__.py

enderlabs/django-database-email-backend

aad6bade66d076b5425f772430adc7e77e60f5ce

[ "MIT" ]

4

2015-11-04T20:45:16.000Z

2021-03-03T06:28:20.000Z

# -*- coding: utf-8 -*- VERSION = (1, 0, 4) __version__ = "1.0.4" __authors__ = ["Stefan Foulis <[email protected]>", ]

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5

a25bec9b2e01804b38b6f619f80dd7f9ad6e8b87

44

py

Python

test/py.py

PhilipDeegan/mkn

399dd01990e130c4deeb0c2800204836d3875ae9

[ "BSD-3-Clause" ]

61

2015-02-05T07:43:13.000Z

2020-05-19T13:26:50.000Z

test/py.py

mkn/mkn

a05b542497270def02200df6620804b89429259b

[ "BSD-3-Clause" ]

29

2016-11-21T03:37:42.000Z

2020-10-18T12:04:53.000Z

test/py.py

mkn/mkn

a05b542497270def02200df6620804b89429259b

[ "BSD-3-Clause" ]

12

2016-01-05T05:35:29.000Z

2020-03-15T11:03:37.000Z

#! /usr/bin/python3 print("HELLO PYTHON")

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5

a25d09e67ac4aff5540ba2b0f11ec21250507d36

121

py

Python

ToDoApp/admin.py

aishabazylzhanova/ToDo

a787e57bf8ace5719d847d8fc4949d05a5d117c5

[ "MIT" ]

null

ToDoApp/admin.py

aishabazylzhanova/ToDo

a787e57bf8ace5719d847d8fc4949d05a5d117c5

[ "MIT" ]

null

ToDoApp/admin.py

aishabazylzhanova/ToDo

a787e57bf8ace5719d847d8fc4949d05a5d117c5

[ "MIT" ]

null

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

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a261c4073b37f990b45a6d0c9e5cc17d54ee8a8f

24,440

py

Python

data_attributes.py

prise-3d/Thesis-NoiseDetection-metrics

b37b2a3e0601e8a879df12c9d88289b1ea43bbb1

[ "MIT" ]

null

data_attributes.py

prise-3d/Thesis-NoiseDetection-metrics

b37b2a3e0601e8a879df12c9d88289b1ea43bbb1

[ "MIT" ]

null

data_attributes.py

prise-3d/Thesis-NoiseDetection-metrics

b37b2a3e0601e8a879df12c9d88289b1ea43bbb1

[ "MIT" ]

null

# main imports import numpy as np import sys # image transform imports from PIL import Image from skimage import color from sklearn.decomposition import FastICA from sklearn.decomposition import IncrementalPCA from sklearn.decomposition import TruncatedSVD from numpy.linalg import svd as lin_svd from scipy.signal import medfilt2d, wiener, cwt import pywt import cv2 from ipfml.processing import transform, compression, segmentation from ipfml.filters import convolution, kernels from ipfml import utils # modules and config imports sys.path.insert(0, '') # trick to enable import of main folder module import custom_config as cfg from modules.utils import data as dt def get_image_features(data_type, block): """ Method which returns the data type expected """ if data_type == 'lab': block_file_path = '/tmp/lab_img.png' block.save(block_file_path) data = transform.get_LAB_L_SVD_s(Image.open(block_file_path)) if data_type == 'mscn': img_mscn_revisited = transform.rgb_to_mscn(block) # save tmp as img img_output = Image.fromarray(img_mscn_revisited.astype('uint8'), 'L') mscn_revisited_file_path = '/tmp/mscn_revisited_img.png' img_output.save(mscn_revisited_file_path) img_block = Image.open(mscn_revisited_file_path) # extract from temp image data = compression.get_SVD_s(img_block) """if data_type == 'mscn': img_gray = np.array(color.rgb2gray(np.asarray(block))*255, 'uint8') img_mscn = transform.calculate_mscn_coefficients(img_gray, 7) img_mscn_norm = transform.normalize_2D_arr(img_mscn) img_mscn_gray = np.array(img_mscn_norm*255, 'uint8') data = compression.get_SVD_s(img_mscn_gray) """ if data_type == 'low_bits_6': low_bits_6 = transform.rgb_to_LAB_L_low_bits(block, 6) data = compression.get_SVD_s(low_bits_6) if data_type == 'low_bits_5': low_bits_5 = transform.rgb_to_LAB_L_low_bits(block, 5) data = compression.get_SVD_s(low_bits_5) if data_type == 'low_bits_4': low_bits_4 = transform.rgb_to_LAB_L_low_bits(block, 4) data = compression.get_SVD_s(low_bits_4) if data_type == 'low_bits_3': low_bits_3 = transform.rgb_to_LAB_L_low_bits(block, 3) data = compression.get_SVD_s(low_bits_3) if data_type == 'low_bits_2': low_bits_2 = transform.rgb_to_LAB_L_low_bits(block, 2) data = compression.get_SVD_s(low_bits_2) if data_type == 'low_bits_4_shifted_2': data = compression.get_SVD_s(transform.rgb_to_LAB_L_bits(block, (3, 6))) if data_type == 'sub_blocks_stats': block = np.asarray(block) width, height, _= block.shape sub_width, sub_height = int(width / 4), int(height / 4) sub_blocks = segmentation.divide_in_blocks(block, (sub_width, sub_height)) data = [] for sub_b in sub_blocks: # by default use the whole lab L canal l_svd_data = np.array(transform.get_LAB_L_SVD_s(sub_b)) # get information we want from svd data.append(np.mean(l_svd_data)) data.append(np.median(l_svd_data)) data.append(np.percentile(l_svd_data, 25)) data.append(np.percentile(l_svd_data, 75)) data.append(np.var(l_svd_data)) area_under_curve = utils.integral_area_trapz(l_svd_data, dx=100) data.append(area_under_curve) # convert into numpy array after computing all stats data = np.asarray(data) if data_type == 'sub_blocks_stats_reduced': block = np.asarray(block) width, height, _= block.shape sub_width, sub_height = int(width / 4), int(height / 4) sub_blocks = segmentation.divide_in_blocks(block, (sub_width, sub_height)) data = [] for sub_b in sub_blocks: # by default use the whole lab L canal l_svd_data = np.array(transform.get_LAB_L_SVD_s(sub_b)) # get information we want from svd data.append(np.mean(l_svd_data)) data.append(np.median(l_svd_data)) data.append(np.percentile(l_svd_data, 25)) data.append(np.percentile(l_svd_data, 75)) data.append(np.var(l_svd_data)) # convert into numpy array after computing all stats data = np.asarray(data) if data_type == 'sub_blocks_area': block = np.asarray(block) width, height, _= block.shape sub_width, sub_height = int(width / 8), int(height / 8) sub_blocks = segmentation.divide_in_blocks(block, (sub_width, sub_height)) data = [] for sub_b in sub_blocks: # by default use the whole lab L canal l_svd_data = np.array(transform.get_LAB_L_SVD_s(sub_b)) area_under_curve = utils.integral_area_trapz(l_svd_data, dx=50) data.append(area_under_curve) # convert into numpy array after computing all stats data = np.asarray(data) if data_type == 'sub_blocks_area_normed': block = np.asarray(block) width, height, _= block.shape sub_width, sub_height = int(width / 8), int(height / 8) sub_blocks = segmentation.divide_in_blocks(block, (sub_width, sub_height)) data = [] for sub_b in sub_blocks: # by default use the whole lab L canal l_svd_data = np.array(transform.get_LAB_L_SVD_s(sub_b)) l_svd_data = utils.normalize_arr(l_svd_data) area_under_curve = utils.integral_area_trapz(l_svd_data, dx=50) data.append(area_under_curve) # convert into numpy array after computing all stats data = np.asarray(data) if data_type == 'mscn_var_4': data = _get_mscn_variance(block, (100, 100)) if data_type == 'mscn_var_16': data = _get_mscn_variance(block, (50, 50)) if data_type == 'mscn_var_64': data = _get_mscn_variance(block, (25, 25)) if data_type == 'mscn_var_16_max': data = _get_mscn_variance(block, (50, 50)) data = np.asarray(data) size = int(len(data) / 4) indices = data.argsort()[-size:][::-1] data = data[indices] if data_type == 'mscn_var_64_max': data = _get_mscn_variance(block, (25, 25)) data = np.asarray(data) size = int(len(data) / 4) indices = data.argsort()[-size:][::-1] data = data[indices] if data_type == 'ica_diff': current_image = transform.get_LAB_L(block) ica = FastICA(n_components=50) ica.fit(current_image) image_ica = ica.fit_transform(current_image) image_restored = ica.inverse_transform(image_ica) final_image = utils.normalize_2D_arr(image_restored) final_image = np.array(final_image * 255, 'uint8') sv_values = utils.normalize_arr(compression.get_SVD_s(current_image)) ica_sv_values = utils.normalize_arr(compression.get_SVD_s(final_image)) data = abs(np.array(sv_values) - np.array(ica_sv_values)) if data_type == 'svd_trunc_diff': current_image = transform.get_LAB_L(block) svd = TruncatedSVD(n_components=30, n_iter=100, random_state=42) transformed_image = svd.fit_transform(current_image) restored_image = svd.inverse_transform(transformed_image) reduced_image = (current_image - restored_image) U, s, V = compression.get_SVD(reduced_image) data = s if data_type == 'ipca_diff': current_image = transform.get_LAB_L(block) transformer = IncrementalPCA(n_components=20, batch_size=25) transformed_image = transformer.fit_transform(current_image) restored_image = transformer.inverse_transform(transformed_image) reduced_image = (current_image - restored_image) U, s, V = compression.get_SVD(reduced_image) data = s if data_type == 'svd_reconstruct': reconstructed_interval = (90, 200) begin, end = reconstructed_interval lab_img = transform.get_LAB_L(block) lab_img = np.array(lab_img, 'uint8') U, s, V = lin_svd(lab_img, full_matrices=True) smat = np.zeros((end-begin, end-begin), dtype=complex) smat[:, :] = np.diag(s[begin:end]) output_img = np.dot(U[:, begin:end], np.dot(smat, V[begin:end, :])) output_img = np.array(output_img, 'uint8') data = compression.get_SVD_s(output_img) if 'sv_std_filters' in data_type: # convert into lab by default to apply filters lab_img = transform.get_LAB_L(block) arr = np.array(lab_img) images = [] # Apply list of filter on arr images.append(medfilt2d(arr, [3, 3])) images.append(medfilt2d(arr, [5, 5])) images.append(wiener(arr, [3, 3])) images.append(wiener(arr, [5, 5])) # By default computation of current block image s_arr = compression.get_SVD_s(arr) sv_vector = [s_arr] # for each new image apply SVD and get SV for img in images: s = compression.get_SVD_s(img) sv_vector.append(s) sv_array = np.array(sv_vector) _, length = sv_array.shape sv_std = [] # normalize each SV vectors and compute standard deviation for each sub vectors for i in range(length): sv_array[:, i] = utils.normalize_arr(sv_array[:, i]) sv_std.append(np.std(sv_array[:, i])) indices = [] if 'lowest' in data_type: indices = utils.get_indices_of_lowest_values(sv_std, 200) if 'highest' in data_type: indices = utils.get_indices_of_highest_values(sv_std, 200) # data are arranged following std trend computed data = s_arr[indices] # with the use of wavelet if 'wave_sv_std_filters' in data_type: # convert into lab by default to apply filters lab_img = transform.get_LAB_L(block) arr = np.array(lab_img) images = [] # Apply list of filter on arr images.append(medfilt2d(arr, [3, 3])) # By default computation of current block image s_arr = compression.get_SVD_s(arr) sv_vector = [s_arr] # for each new image apply SVD and get SV for img in images: s = compression.get_SVD_s(img) sv_vector.append(s) sv_array = np.array(sv_vector) _, length = sv_array.shape sv_std = [] # normalize each SV vectors and compute standard deviation for each sub vectors for i in range(length): sv_array[:, i] = utils.normalize_arr(sv_array[:, i]) sv_std.append(np.std(sv_array[:, i])) indices = [] if 'lowest' in data_type: indices = utils.get_indices_of_lowest_values(sv_std, 200) if 'highest' in data_type: indices = utils.get_indices_of_highest_values(sv_std, 200) # data are arranged following std trend computed data = s_arr[indices] # with the use of wavelet if 'sv_std_filters_full' in data_type: # convert into lab by default to apply filters lab_img = transform.get_LAB_L(block) arr = np.array(lab_img) images = [] # Apply list of filter on arr kernel = np.ones((3,3),np.float32)/9 images.append(cv2.filter2D(arr,-1,kernel)) kernel = np.ones((5,5),np.float32)/25 images.append(cv2.filter2D(arr,-1,kernel)) images.append(cv2.GaussianBlur(arr, (3, 3), 0.5)) images.append(cv2.GaussianBlur(arr, (3, 3), 1)) images.append(cv2.GaussianBlur(arr, (3, 3), 1.5)) images.append(cv2.GaussianBlur(arr, (5, 5), 0.5)) images.append(cv2.GaussianBlur(arr, (5, 5), 1)) images.append(cv2.GaussianBlur(arr, (5, 5), 1.5)) images.append(medfilt2d(arr, [3, 3])) images.append(medfilt2d(arr, [5, 5])) images.append(wiener(arr, [3, 3])) images.append(wiener(arr, [5, 5])) wave = w2d(arr, 'db1', 2) images.append(np.array(wave, 'float64')) # By default computation of current block image s_arr = compression.get_SVD_s(arr) sv_vector = [s_arr] # for each new image apply SVD and get SV for img in images: s = compression.get_SVD_s(img) sv_vector.append(s) sv_array = np.array(sv_vector) _, length = sv_array.shape sv_std = [] # normalize each SV vectors and compute standard deviation for each sub vectors for i in range(length): sv_array[:, i] = utils.normalize_arr(sv_array[:, i]) sv_std.append(np.std(sv_array[:, i])) indices = [] if 'lowest' in data_type: indices = utils.get_indices_of_lowest_values(sv_std, 200) if 'highest' in data_type: indices = utils.get_indices_of_highest_values(sv_std, 200) # data are arranged following std trend computed data = s_arr[indices] if 'sv_entropy_std_filters' in data_type: lab_img = transform.get_LAB_L(block) arr = np.array(lab_img) images = [] kernel = np.ones((3,3),np.float32)/9 images.append(cv2.filter2D(arr,-1,kernel)) kernel = np.ones((5,5),np.float32)/25 images.append(cv2.filter2D(arr,-1,kernel)) images.append(cv2.GaussianBlur(arr, (3, 3), 0.5)) images.append(cv2.GaussianBlur(arr, (3, 3), 1)) images.append(cv2.GaussianBlur(arr, (3, 3), 1.5)) images.append(cv2.GaussianBlur(arr, (5, 5), 0.5)) images.append(cv2.GaussianBlur(arr, (5, 5), 1)) images.append(cv2.GaussianBlur(arr, (5, 5), 1.5)) images.append(medfilt2d(arr, [3, 3])) images.append(medfilt2d(arr, [5, 5])) images.append(wiener(arr, [3, 3])) images.append(wiener(arr, [5, 5])) wave = w2d(arr, 'db1', 2) images.append(np.array(wave, 'float64')) sv_vector = [] sv_entropy_list = [] # for each new image apply SVD and get SV for img in images: s = compression.get_SVD_s(img) sv_vector.append(s) sv_entropy = [utils.get_entropy_contribution_of_i(s, id_sv) for id_sv, sv in enumerate(s)] sv_entropy_list.append(sv_entropy) sv_std = [] sv_array = np.array(sv_vector) _, length = sv_array.shape # normalize each SV vectors and compute standard deviation for each sub vectors for i in range(length): sv_array[:, i] = utils.normalize_arr(sv_array[:, i]) sv_std.append(np.std(sv_array[:, i])) indices = [] if 'lowest' in data_type: indices = utils.get_indices_of_lowest_values(sv_std, 200) if 'highest' in data_type: indices = utils.get_indices_of_highest_values(sv_std, 200) # data are arranged following std trend computed s_arr = compression.get_SVD_s(arr) data = s_arr[indices] if 'convolutional_kernels' in data_type: sub_zones = segmentation.divide_in_blocks(block, (20, 20)) data = [] diff_std_list_3 = [] diff_std_list_5 = [] diff_mean_list_3 = [] diff_mean_list_5 = [] plane_std_list_3 = [] plane_std_list_5 = [] plane_mean_list_3 = [] plane_mean_list_5 = [] plane_max_std_list_3 = [] plane_max_std_list_5 = [] plane_max_mean_list_3 = [] plane_max_mean_list_5 = [] for sub_zone in sub_zones: l_img = transform.get_LAB_L(sub_zone) normed_l_img = utils.normalize_2D_arr(l_img) # bilateral with window of size (3, 3) normed_diff = convolution.convolution2D(normed_l_img, kernels.min_bilateral_diff, (3, 3)) std_diff = np.std(normed_diff) mean_diff = np.mean(normed_diff) diff_std_list_3.append(std_diff) diff_mean_list_3.append(mean_diff) # bilateral with window of size (5, 5) normed_diff = convolution.convolution2D(normed_l_img, kernels.min_bilateral_diff, (5, 5)) std_diff = np.std(normed_diff) mean_diff = np.mean(normed_diff) diff_std_list_5.append(std_diff) diff_mean_list_5.append(mean_diff) # plane mean with window of size (3, 3) normed_plane_mean = convolution.convolution2D(normed_l_img, kernels.plane_mean, (3, 3)) std_plane_mean = np.std(normed_plane_mean) mean_plane_mean = np.mean(normed_plane_mean) plane_std_list_3.append(std_plane_mean) plane_mean_list_3.append(mean_plane_mean) # plane mean with window of size (5, 5) normed_plane_mean = convolution.convolution2D(normed_l_img, kernels.plane_mean, (5, 5)) std_plane_mean = np.std(normed_plane_mean) mean_plane_mean = np.mean(normed_plane_mean) plane_std_list_5.append(std_plane_mean) plane_mean_list_5.append(mean_plane_mean) # plane max error with window of size (3, 3) normed_plane_max = convolution.convolution2D(normed_l_img, kernels.plane_max_error, (3, 3)) std_plane_max = np.std(normed_plane_max) mean_plane_max = np.mean(normed_plane_max) plane_max_std_list_3.append(std_plane_max) plane_max_mean_list_3.append(mean_plane_max) # plane max error with window of size (5, 5) normed_plane_max = convolution.convolution2D(normed_l_img, kernels.plane_max_error, (5, 5)) std_plane_max = np.std(normed_plane_max) mean_plane_max = np.mean(normed_plane_max) plane_max_std_list_5.append(std_plane_max) plane_max_mean_list_5.append(mean_plane_max) diff_std_list_3 = np.array(diff_std_list_3) diff_std_list_5 = np.array(diff_std_list_5) diff_mean_list_3 = np.array(diff_mean_list_3) diff_mean_list_5 = np.array(diff_mean_list_5) plane_std_list_3 = np.array(plane_std_list_3) plane_std_list_5 = np.array(plane_std_list_5) plane_mean_list_3 = np.array(plane_mean_list_3) plane_mean_list_5 = np.array(plane_mean_list_5) plane_max_std_list_3 = np.array(plane_max_std_list_3) plane_max_std_list_5 = np.array(plane_max_std_list_5) plane_max_mean_list_3 = np.array(plane_max_mean_list_3) plane_max_mean_list_5 = np.array(plane_max_mean_list_5) if 'std_max_blocks' in data_type: data.append(np.std(diff_std_list_3[0:int(len(sub_zones)/5)])) data.append(np.std(diff_mean_list_3[0:int(len(sub_zones)/5)])) data.append(np.std(diff_std_list_5[0:int(len(sub_zones)/5)])) data.append(np.std(diff_mean_list_5[0:int(len(sub_zones)/5)])) data.append(np.std(plane_std_list_3[0:int(len(sub_zones)/5)])) data.append(np.std(plane_mean_list_3[0:int(len(sub_zones)/5)])) data.append(np.std(plane_std_list_5[0:int(len(sub_zones)/5)])) data.append(np.std(plane_mean_list_5[0:int(len(sub_zones)/5)])) data.append(np.std(plane_max_std_list_3[0:int(len(sub_zones)/5)])) data.append(np.std(plane_max_mean_list_3[0:int(len(sub_zones)/5)])) data.append(np.std(plane_max_std_list_5[0:int(len(sub_zones)/5)])) data.append(np.std(plane_max_mean_list_5[0:int(len(sub_zones)/5)])) if 'mean_max_blocks' in data_type: data.append(np.mean(diff_std_list_3[0:int(len(sub_zones)/5)])) data.append(np.mean(diff_mean_list_3[0:int(len(sub_zones)/5)])) data.append(np.mean(diff_std_list_5[0:int(len(sub_zones)/5)])) data.append(np.mean(diff_mean_list_5[0:int(len(sub_zones)/5)])) data.append(np.mean(plane_std_list_3[0:int(len(sub_zones)/5)])) data.append(np.mean(plane_mean_list_3[0:int(len(sub_zones)/5)])) data.append(np.mean(plane_std_list_5[0:int(len(sub_zones)/5)])) data.append(np.mean(plane_mean_list_5[0:int(len(sub_zones)/5)])) data.append(np.mean(plane_max_std_list_3[0:int(len(sub_zones)/5)])) data.append(np.mean(plane_max_mean_list_3[0:int(len(sub_zones)/5)])) data.append(np.mean(plane_max_std_list_5[0:int(len(sub_zones)/5)])) data.append(np.mean(plane_max_mean_list_5[0:int(len(sub_zones)/5)])) if 'std_normed' in data_type: data.append(np.std(diff_std_list_3)) data.append(np.std(diff_mean_list_3)) data.append(np.std(diff_std_list_5)) data.append(np.std(diff_mean_list_5)) data.append(np.std(plane_std_list_3)) data.append(np.std(plane_mean_list_3)) data.append(np.std(plane_std_list_5)) data.append(np.std(plane_mean_list_5)) data.append(np.std(plane_max_std_list_3)) data.append(np.std(plane_max_mean_list_3)) data.append(np.std(plane_max_std_list_5)) data.append(np.std(plane_max_mean_list_5)) if 'mean_normed' in data_type: data.append(np.mean(diff_std_list_3)) data.append(np.mean(diff_mean_list_3)) data.append(np.mean(diff_std_list_5)) data.append(np.mean(diff_mean_list_5)) data.append(np.mean(plane_std_list_3)) data.append(np.mean(plane_mean_list_3)) data.append(np.mean(plane_std_list_5)) data.append(np.mean(plane_mean_list_5)) data.append(np.mean(plane_max_std_list_3)) data.append(np.mean(plane_max_mean_list_3)) data.append(np.mean(plane_max_std_list_5)) data.append(np.mean(plane_max_mean_list_5)) data = np.array(data) if data_type == 'convolutional_kernel_stats_svd': l_img = transform.get_LAB_L(block) normed_l_img = utils.normalize_2D_arr(l_img) # bilateral with window of size (5, 5) normed_diff = convolution.convolution2D(normed_l_img, kernels.min_bilateral_diff, (5, 5)) # getting sigma vector from SVD compression s = compression.get_SVD_s(normed_diff) data = s if data_type == 'svd_entropy': l_img = transform.get_LAB_L(block) blocks = segmentation.divide_in_blocks(l_img, (20, 20)) values = [] for b in blocks: sv = compression.get_SVD_s(b) values.append(utils.get_entropy(sv)) data = np.array(values) if data_type == 'svd_entropy_20': l_img = transform.get_LAB_L(block) blocks = segmentation.divide_in_blocks(l_img, (20, 20)) values = [] for b in blocks: sv = compression.get_SVD_s(b) values.append(utils.get_entropy(sv)) data = np.array(values) if data_type == 'svd_entropy_noise_20': l_img = transform.get_LAB_L(block) blocks = segmentation.divide_in_blocks(l_img, (20, 20)) values = [] for b in blocks: sv = compression.get_SVD_s(b) sv_size = len(sv) values.append(utils.get_entropy(sv[int(sv_size / 4):])) data = np.array(values) return data def w2d(arr, mode='haar', level=1): #convert to float imArray = arr np.divide(imArray, 255) # compute coefficients coeffs=pywt.wavedec2(imArray, mode, level=level) #Process Coefficients coeffs_H=list(coeffs) coeffs_H[0] *= 0 # reconstruction imArray_H = pywt.waverec2(coeffs_H, mode) imArray_H *= 255 imArray_H = np.uint8(imArray_H) return imArray_H def _get_mscn_variance(block, sub_block_size=(50, 50)): blocks = segmentation.divide_in_blocks(block, sub_block_size) data = [] for block in blocks: mscn_coefficients = transform.get_mscn_coefficients(block) flat_coeff = mscn_coefficients.flatten() data.append(np.var(flat_coeff)) return np.sort(data)

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0

null

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1

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null

0

5

a2adbf90bc22cca044acdd78bea2c9355ce557e4

2,848

py

Python

desktop/core/ext-py/Mako-1.0.7/test/test_cmd.py

kokosing/hue

2307f5379a35aae9be871e836432e6f45138b3d9

[ "Apache-2.0" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

desktop/core/ext-py/Mako-1.0.7/test/test_cmd.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

1,623

2015-01-01T08:06:24.000Z

2022-03-30T19:48:52.000Z

desktop/core/ext-py/Mako-1.0.7/test/test_cmd.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

from __future__ import with_statement from contextlib import contextmanager from test import TemplateTest, eq_, raises, template_base, mock import os from mako.cmd import cmdline class CmdTest(TemplateTest): @contextmanager def _capture_output_fixture(self, stream="stdout"): with mock.patch("sys.%s" % stream) as stdout: yield stdout def test_stdin_success(self): with self._capture_output_fixture() as stdout: with mock.patch("sys.stdin", mock.Mock( read=mock.Mock(return_value="hello world ${x}"))): cmdline(["--var", "x=5", "-"]) eq_(stdout.write.mock_calls[0][1][0], "hello world 5") def test_stdin_syntax_err(self): with mock.patch("sys.stdin", mock.Mock( read=mock.Mock(return_value="${x"))): with self._capture_output_fixture("stderr") as stderr: with raises(SystemExit): cmdline(["--var", "x=5", "-"]) assert "SyntaxException: Expected" in \ stderr.write.mock_calls[0][1][0] assert "Traceback" in stderr.write.mock_calls[0][1][0] def test_stdin_rt_err(self): with mock.patch("sys.stdin", mock.Mock( read=mock.Mock(return_value="${q}"))): with self._capture_output_fixture("stderr") as stderr: with raises(SystemExit): cmdline(["--var", "x=5", "-"]) assert "NameError: Undefined" in stderr.write.mock_calls[0][1][0] assert "Traceback" in stderr.write.mock_calls[0][1][0] def test_file_success(self): with self._capture_output_fixture() as stdout: cmdline(["--var", "x=5", os.path.join(template_base, "cmd_good.mako")]) eq_(stdout.write.mock_calls[0][1][0], "hello world 5") def test_file_syntax_err(self): with self._capture_output_fixture("stderr") as stderr: with raises(SystemExit): cmdline(["--var", "x=5", os.path.join(template_base, "cmd_syntax.mako")]) assert "SyntaxException: Expected" in stderr.write.mock_calls[0][1][0] assert "Traceback" in stderr.write.mock_calls[0][1][0] def test_file_rt_err(self): with self._capture_output_fixture("stderr") as stderr: with raises(SystemExit): cmdline(["--var", "x=5", os.path.join(template_base, "cmd_runtime.mako")]) assert "NameError: Undefined" in stderr.write.mock_calls[0][1][0] assert "Traceback" in stderr.write.mock_calls[0][1][0] def test_file_notfound(self): with raises(SystemExit, "error: can't find fake.lalala"): cmdline(["--var", "x=5", "fake.lalala"])

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78

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2,848

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0

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2,848

72

79

39.555556

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0.254545

0

null

0

1

0

null

0

5

a2d10542879056ad7800cdebe98204d350251551

346

py

Python

diffir/__init__.py

capreolus-ir/diffir

90906ce4b7d5f23d6190eea26020f9e4096cb0cd

[ "Apache-2.0" ]

12

2021-03-10T17:04:05.000Z

2022-01-13T15:44:34.000Z

diffir/__init__.py

capreolus-ir/diffir

90906ce4b7d5f23d6190eea26020f9e4096cb0cd

[ "Apache-2.0" ]

7

2021-05-19T21:28:52.000Z

2021-12-16T16:01:40.000Z

diffir/__init__.py

capreolus-ir/diffir

90906ce4b7d5f23d6190eea26020f9e4096cb0cd

[ "Apache-2.0" ]

null

__version__ = "0.2.0" from diffir.weight import Weight from diffir.weight.custom import CustomWeight from diffir.weight.unsupervised import ExactMatchWeight from diffir.measure import Measure from diffir.measure.qrels import QrelMeasure from diffir.measure.unsupervised import TopkMeasure from diffir.weight.weights_builder import WeightBuilder

34.6

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6.488889

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346

9

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1

0

1

0

null

0

1

0

1

0

5

0c0e6124651142c0387644ad144cc2392388c0c5

33

py

Python

Fase 4 - Temas avanzados/Tema 11 - Modulos/Leccion 01 - Modulos/Saludos/test.py

ruben69695/python-course

a3d3532279510fa0315a7636c373016c7abe4f0a

[ "MIT" ]

1

2019-01-27T20:44:53.000Z

Fase 4 - Temas avanzados/Tema 11 - Modulos/Leccion 01 - Modulos/Saludos/test.py

ruben69695/python-course

a3d3532279510fa0315a7636c373016c7abe4f0a

[ "MIT" ]

null

Fase 4 - Temas avanzados/Tema 11 - Modulos/Leccion 01 - Modulos/Saludos/test.py

ruben69695/python-course

a3d3532279510fa0315a7636c373016c7abe4f0a

[ "MIT" ]

null

import saludos saludos.saludar()

11

17

0.818182

4

33

6.75

0.75

0

0.090909

33

3

17

11

0.9

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0c25a90b221d6137090c0e77b536a592e4921a3d

337

py

Python

api/data_explorer/models/__init__.py

karamalhotra/data-explorer

317f4d7330887969ab6bfe2ca23ec24163472c55

[ "BSD-3-Clause" ]

null

api/data_explorer/models/__init__.py

karamalhotra/data-explorer

317f4d7330887969ab6bfe2ca23ec24163472c55

[ "BSD-3-Clause" ]

null

api/data_explorer/models/__init__.py

karamalhotra/data-explorer

317f4d7330887969ab6bfe2ca23ec24163472c55

[ "BSD-3-Clause" ]

null

# coding: utf-8 # flake8: noqa from __future__ import absolute_import # import models into model package from data_explorer.models.dataset_response import DatasetResponse from data_explorer.models.facet import Facet from data_explorer.models.facet_value import FacetValue from data_explorer.models.facets_response import FacetsResponse

33.7

65

0.860534

46

337

6.043478

0.5

0.115108

0.230216

0.316547

0.194245

0

0.006579

0.097923

337

9

66

37.444444

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true

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null

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1

0

1

0

null

0

1

0

1

0

5

a743058f6e943a66d50447c9ef87971c35895cc0

169

py

Python

taxcalc/tbi/__init__.py

ClarePan/Tax-Calculator

d2d6cb4b551f34017db7166d91d982b5c4670816

[ "CC0-1.0" ]

1

2021-02-23T21:03:43.000Z

taxcalc/tbi/__init__.py

ClarePan/Tax-Calculator

d2d6cb4b551f34017db7166d91d982b5c4670816

[ "CC0-1.0" ]

null

taxcalc/tbi/__init__.py

ClarePan/Tax-Calculator

d2d6cb4b551f34017db7166d91d982b5c4670816

[ "CC0-1.0" ]

null

from taxcalc.tbi.tbi import (run_nth_year_taxcalc_model, run_nth_year_gdp_elast_model, reform_warnings_errors)

42.25

58

0.585799

19

169

4.631579

0.684211

0.136364

0.227273

0

0.378698

169

3

59

56.333333

0.838095

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a778a8a2d428dbcafebc55dfd31568980b3b8abe

375

py

Python

app/env/lib/python3.7/site-packages/twilio/http/response.py

siyaochen/Tier1Health

536591a7534bbb3fb27fe889bfed9de152ec1864

[ "MIT" ]

30

2018-06-12T12:00:53.000Z

2021-05-02T01:27:16.000Z

app/env/lib/python3.7/site-packages/twilio/http/response.py

siyaochen/Tier1Health

536591a7534bbb3fb27fe889bfed9de152ec1864

[ "MIT" ]

11

2019-12-26T17:21:03.000Z

2022-03-21T22:17:07.000Z

bot/lib/python3.7/site-packages/twilio/http/response.py

carlosrh18/DavinciBot

d73a6b7f68d7bab25d134d3f85c6b63a86c206c5

[ "MIT" ]

4

2019-03-28T18:20:48.000Z

2019-11-18T18:52:04.000Z

class Response(object): """ """ def __init__(self, status_code, text): self.content = text self.cached = False self.status_code = status_code self.ok = self.status_code < 400 @property def text(self): return self.content def __repr__(self): return 'HTTP {} {}'.format(self.status_code, self.content)

22.058824

66

0.592

44

375

4.75

0.431818

0.239234

0.267943

0

0.011278

0.290667

375

16

67

23.4375

0.774436

0

0.027548

0

1

0.272727

false

0

0.181818

0.545455

0

null

1

0

null

0

1

0

1

0

5

a7b2d4bcebc84c01285d54f2bcd39c69c67e7a6d

249

py

Python

adminapp/admin.py

gabyxbinnaeah/Bus-Booking

51d2a521f890986e4e7e17775708cec3cd71d2b4

[ "MIT" ]

null

adminapp/admin.py

gabyxbinnaeah/Bus-Booking

51d2a521f890986e4e7e17775708cec3cd71d2b4

[ "MIT" ]

null

adminapp/admin.py

gabyxbinnaeah/Bus-Booking

51d2a521f890986e4e7e17775708cec3cd71d2b4

[ "MIT" ]

null

from django.contrib import admin from .models import Admin, Profile # from userapp.models import Book # from driverapp.models import Bus admin.site.register(Admin) admin.site.register(Profile) # admin.site.register(Bus) # admin.site.register(Book)

27.666667

35

0.795181

36

249

5.5

0.361111

0.181818

0.343434

0.20202

0

0.104418

249

9

36

27.666667

0.887892

0.461847

0

1

0

true

0

0.5

0

0.5

0

null

0

1

0

1

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a7b4359004682dcf25fa55ff619454c6c53df969

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py

Python

numba/cuda/simulator/cudadrv/error.py

auderson/numba

3d67c9850ab56457f418cf40af6245fd9c337705

[ "BSD-2-Clause" ]

6,620

2015-01-04T08:51:04.000Z

2022-03-31T12:52:18.000Z

numba/cuda/simulator/cudadrv/error.py

auderson/numba

3d67c9850ab56457f418cf40af6245fd9c337705

[ "BSD-2-Clause" ]

6,457

2015-01-04T03:18:41.000Z

2022-03-31T17:38:42.000Z

numba/cuda/simulator/cudadrv/error.py

auderson/numba

3d67c9850ab56457f418cf40af6245fd9c337705

[ "BSD-2-Clause" ]

930

2015-01-25T02:33:03.000Z

2022-03-30T14:10:32.000Z

class CudaSupportError(RuntimeError): pass

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a7dac603aaf8f14d5ec261bf9ee335b205d9767b

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py

Python

backend/app/bucket.py

thanet-s/subme-selected-topics-project

fac1630839c580bbd66b93f2dc9004c8637a7b15

[ "MIT" ]

null

backend/app/bucket.py

thanet-s/subme-selected-topics-project

fac1630839c580bbd66b93f2dc9004c8637a7b15

[ "MIT" ]

null

backend/app/bucket.py

thanet-s/subme-selected-topics-project

fac1630839c580bbd66b93f2dc9004c8637a7b15

[ "MIT" ]

null

from minio import Minio import os minio_client = Minio( os.environ['MINIO_HOST'], access_key=os.environ['MINIO_ROOT_USER'], secret_key=os.environ['MINIO_ROOT_PASSWORD'], secure=False )

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38fa54c4a5025900fd457356bdca81cf5e7db815

92

py

Python

datamux/src/datamux/simulate_mode.py

nirdslab/streaminghub

a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf

[ "MIT" ]

null

datamux/src/datamux/simulate_mode.py

nirdslab/streaminghub

a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf

[ "MIT" ]

null

datamux/src/datamux/simulate_mode.py

nirdslab/streaminghub

a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf

[ "MIT" ]

1

2020-01-22T15:35:29.000Z

class SimulateMode: @staticmethod def start_simulation(device, guide=None): return

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5

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py

Python

src/import_hook/__init__.py

zthxxx/sniputils

e67f55dfa0689f1dde6b6e78d76f04022b4d4585

[ "MIT" ]

null

src/import_hook/__init__.py

zthxxx/sniputils

e67f55dfa0689f1dde6b6e78d76f04022b4d4585

[ "MIT" ]

null

src/import_hook/__init__.py

zthxxx/sniputils

e67f55dfa0689f1dde6b6e78d76f04022b4d4585

[ "MIT" ]

null

from .import_track import * from .reimportable import *

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py

Python

compiled/construct/repeat_eos_u4.py

smarek/ci_targets

c5edee7b0901fd8e7f75f85245ea4209b38e0cb3

[ "MIT" ]

4

2017-04-08T12:55:11.000Z

2020-12-05T21:09:31.000Z

compiled/construct/repeat_eos_u4.py

smarek/ci_targets

c5edee7b0901fd8e7f75f85245ea4209b38e0cb3

[ "MIT" ]

7

2018-04-23T01:30:33.000Z

2020-10-30T23:56:14.000Z

compiled/construct/repeat_eos_u4.py

smarek/ci_targets

c5edee7b0901fd8e7f75f85245ea4209b38e0cb3

[ "MIT" ]

6

2017-04-08T11:41:14.000Z

2020-10-30T22:47:31.000Z

from construct import * from construct.lib import * repeat_eos_u4 = Struct( 'numbers' / GreedyRange(Int32ul), ) _schema = repeat_eos_u4

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py

Python

submissions/abc085/a.py

m-star18/atcoder

08e475810516602fa088f87daf1eba590b4e07cc

[ "Unlicense" ]

1

2021-05-10T01:16:28.000Z

submissions/abc085/a.py

m-star18/atcoder

08e475810516602fa088f87daf1eba590b4e07cc

[ "Unlicense" ]

3

2021-05-11T06:14:15.000Z

2021-06-19T08:18:36.000Z

submissions/abc085/a.py

m-star18/atcoder

08e475810516602fa088f87daf1eba590b4e07cc

[ "Unlicense" ]

null

# sys.stdin.readline() import sys input = sys.stdin.readline print(input().replace('2017', '2018'))

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py

Python

lib/abridger/exc.py

willangenent/abridger

6daa80f7360339376b38544ce60694c5addaa30f

[ "MIT" ]

8

2016-10-19T14:15:34.000Z

2020-06-23T09:37:02.000Z

lib/abridger/exc.py

freewilll/abridger

6daa80f7360339376b38544ce60694c5addaa30f

[ "MIT" ]

null

lib/abridger/exc.py

freewilll/abridger

6daa80f7360339376b38544ce60694c5addaa30f

[ "MIT" ]

null

class AbridgerError(Exception): pass class ConfigFileLoaderError(AbridgerError): pass class IncludeError(ConfigFileLoaderError): pass class DataError(ConfigFileLoaderError): pass class FileNotFoundError(ConfigFileLoaderError): pass class DatabaseUrlError(AbridgerError): pass class ExtractionModelError(AbridgerError): pass class UnknownTableError(AbridgerError): pass class UnknownColumnError(AbridgerError): pass class InvalidConfigError(ExtractionModelError): pass class RelationIntegrityError(ExtractionModelError): pass class GeneratorError(Exception): pass class CyclicDependencyError(GeneratorError): pass

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py

Python

node/views/__init__.py

mohamedmansor/path-detector

14954795ea47109d404b54f74575337f86d6134f

[ "MIT" ]

null

node/views/__init__.py

mohamedmansor/path-detector

14954795ea47109d404b54f74575337f86d6134f

[ "MIT" ]

null

node/views/__init__.py

mohamedmansor/path-detector

14954795ea47109d404b54f74575337f86d6134f

[ "MIT" ]

null

from .node_view import ConnectNodesViewSet, PathViewSet

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1

0

1

0

5

ce07948f6f31a33c9447bac9ba7da84e0cc0cfdb

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py

Python

write_grok/__init__.py

namedyangfan/Python_practice

7f7394d82bb5afc13b039eec286b9485a775ae39

[ "MIT" ]

null

write_grok/__init__.py

namedyangfan/Python_practice

7f7394d82bb5afc13b039eec286b9485a775ae39

[ "MIT" ]

null

write_grok/__init__.py

namedyangfan/Python_practice

7f7394d82bb5afc13b039eec286b9485a775ae39

[ "MIT" ]

null

from .write_grok import *

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5

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py

Python

FlaskApp/app.py

Dec22gln/FlaskBlog

114ca9fc39f039cbdf0f1ff613fb66e364cea171

[ "MIT" ]

null

FlaskApp/app.py

Dec22gln/FlaskBlog

114ca9fc39f039cbdf0f1ff613fb66e364cea171

[ "MIT" ]

null

FlaskApp/app.py

Dec22gln/FlaskBlog

114ca9fc39f039cbdf0f1ff613fb66e364cea171

[ "MIT" ]

null

from flask import Flask from flask import render_template app = Flask(__name__) @app.route('/') def hello_world(): return render_template('index.html') @app.route('/index') def index(): return render_template('index.html') @app.route('/contact') def contact(): return render_template('contact.html') @app.route('/cv') def cv(): return render_template('cv.html') @app.route('/hire-me') def hireMe(): return render_template('hire-me.html') @app.route('/project-page') def projectPage(): return render_template('project-page.html') @app.route('/projects-compact-grid') def projects1(): return render_template('projects-compact-grid.html') @app.route('/projects-no-images') def projects2(): return render_template('projects-no-images.html') @app.route('/projects-with-sidebar') def projects3(): return render_template('projects-with-sidebar.html') @app.route('/projects-grid-cards') def projects4(): return render_template('projects-with-sidebar.html') if __name__ == '__main__': app.run()

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0255255ddce0aede915e8004ff48e8619c540430

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py

Python

src/timber_clay_hybrid/assembly/__init__.py

augmentedfabricationlab/Timber_Clay_Hybrid

243efddac77970c989b551697a0e188932064849

[ "MIT" ]

1

2020-12-16T01:25:07.000Z

src/timber_clay_hybrid/assembly/__init__.py

augmentedfabricationlab/timber_clay_hybrid

243efddac77970c989b551697a0e188932064849

[ "MIT" ]

null

src/timber_clay_hybrid/assembly/__init__.py

augmentedfabricationlab/timber_clay_hybrid

243efddac77970c989b551697a0e188932064849

[ "MIT" ]

null

from .assembly import HRCAssembly from .element import HRCElement from .artist import AssemblyArtist from .utilities import *

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025ca2353166896f2415d32f2b2cf83266307837

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py

Python

dbt/adapters/athena/__version__.py

sacundim/dbt-athena

120c9d3c88da98ec11ddfcf0a0a3fda49538f197

[ "Apache-2.0" ]

92

2019-03-23T07:23:55.000Z

2021-06-15T18:18:32.000Z

dbt/adapters/athena/__version__.py

sacundim/dbt-athena

120c9d3c88da98ec11ddfcf0a0a3fda49538f197

[ "Apache-2.0" ]

156

2019-03-21T03:26:58.000Z

2021-06-29T15:30:51.000Z

dbt/adapters/athena/__version__.py

sacundim/dbt-athena

120c9d3c88da98ec11ddfcf0a0a3fda49538f197

[ "Apache-2.0" ]

58

2019-04-12T09:09:43.000Z

2021-06-24T15:25:11.000Z

version = "0.21.0"

9.5

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1

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null

0

5

5a12d4be2ea76f2966c05949af40280a754ab4f5

3,641

py

Python

tests/test_gru.py

nsuke/hyrnn

b3efcc7b004d8402344467bf319f1d86324d11e5

[ "Apache-2.0" ]

73

2019-04-08T08:17:39.000Z

2022-03-29T03:48:07.000Z

tests/test_gru.py

nsuke/hyrnn

b3efcc7b004d8402344467bf319f1d86324d11e5

[ "Apache-2.0" ]

10

2019-03-19T04:24:07.000Z

2021-02-25T00:19:24.000Z

tests/test_gru.py

nsuke/hyrnn

b3efcc7b004d8402344467bf319f1d86324d11e5

[ "Apache-2.0" ]

14

2019-05-06T09:42:37.000Z

2021-07-17T17:18:05.000Z

import hyrnn import torch.nn def test_MobiusGRU_no_packed_just_works(): input_size = 4 hidden_size = 3 batch_size = 5 gru = hyrnn.nets.MobiusGRU(input_size, hidden_size, hyperbolic_input=False) timestops = 10 sequence = torch.randn(timestops, batch_size, input_size) out, ht = gru(sequence) # out: (seq_len, batch, num_directions * hidden_size) # ht: (num_layers * num_directions, batch, hidden_size) assert out.shape[0] == timestops assert out.shape[1] == batch_size assert out.shape[2] == hidden_size assert ht.shape[0] == 1 assert ht.shape[1] == batch_size assert ht.shape[2] == hidden_size def test_MobiusGRU_2_layers_no_packed_just_works(): input_size = 4 hidden_size = 3 batch_size = 5 num_layers = 2 gru = hyrnn.nets.MobiusGRU( input_size, hidden_size, num_layers=num_layers, hyperbolic_input=False ) timestops = 10 sequence = torch.randn(timestops, batch_size, input_size) out, ht = gru(sequence) # out: (seq_len, batch, num_directions * hidden_size) # ht: (num_layers * num_directions, batch, hidden_size) assert out.shape[0] == timestops assert out.shape[1] == batch_size assert out.shape[2] == hidden_size assert ht.shape[0] == num_layers assert ht.shape[1] == batch_size assert ht.shape[2] == hidden_size def test_mobius_gru_loop_just_works(): input_size = 4 hidden_size = 3 num_sequences = 3 seqs = torch.nn.utils.rnn.pack_sequence( [ torch.zeros(10, input_size), torch.zeros(5, input_size), torch.zeros(1, input_size), ] ) loop_params = dict() loop_params["h0"] = torch.zeros(num_sequences, hidden_size, requires_grad=False) loop_params["input"] = seqs.data loop_params["weight_ih"] = torch.nn.Parameter( torch.randn(3 * hidden_size, input_size) ) loop_params["weight_hh"] = torch.nn.Parameter( torch.randn(3 * hidden_size, hidden_size) ) loop_params["bias"] = torch.randn(3, hidden_size) loop_params["c"] = 1.0 loop_params["nonlin"] = None loop_params["hyperbolic_input"] = True loop_params["hyperbolic_hidden_state0"] = True loop_params["batch_sizes"] = seqs.batch_sizes hyrnn.nets.mobius_gru_loop(**loop_params) def test_MobiusGRU_with_packed_just_works(): input_size = 4 hidden_size = 3 gru = hyrnn.nets.MobiusGRU(input_size, hidden_size, hyperbolic_input=False) seqs = torch.nn.utils.rnn.pack_sequence( [ torch.zeros(10, input_size), torch.zeros(5, input_size), torch.zeros(1, input_size), ] ) h, ht = gru(seqs) assert h.data.size(0) == 16 # sum of times assert h.data.size(1) == hidden_size # ht: (num_layers * num_directions, batch, hidden_size) assert ht.size(2) == hidden_size assert ht.size(1) == 3 # batch size assert ht.size(0) == 1 # num layers def test_MobiusGRU_2_layers_with_packed_just_works(): input_size = 4 hidden_size = 3 gru = hyrnn.nets.MobiusGRU( input_size, hidden_size, num_layers=2, hyperbolic_input=False) seqs = torch.nn.utils.rnn.pack_sequence([ torch.zeros(10, input_size), torch.zeros(5, input_size), torch.zeros(1, input_size) ]) h, ht = gru(seqs) assert h.data.size(0) == 16 # sum of times assert h.data.size(1) == hidden_size # ht: (num_layers * num_directions, batch, hidden_size) assert ht.size(2) == hidden_size assert ht.size(1) == 3 # batch size assert ht.size(0) == 2 # num layers

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5a13d8b3614f878639aab1f5c25f37f50a754ad3

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py

Python

tests/errors/semantic/ex4.py

toddrme2178/pyccel

deec37503ab0c5d0bcca1a035f7909f7ce8ef653

[ "MIT" ]

null

tests/errors/semantic/ex4.py

toddrme2178/pyccel

deec37503ab0c5d0bcca1a035f7909f7ce8ef653

[ "MIT" ]

null

tests/errors/semantic/ex4.py

toddrme2178/pyccel

deec37503ab0c5d0bcca1a035f7909f7ce8ef653

[ "MIT" ]

null

x is 1 y is None

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py

Python

FB2/__init__.py

Ae-Mc/FB2

2c29f774ab08bdad5bd6144b1be71b93146ce8fe

[ "MIT" ]

3

2020-11-15T10:55:22.000Z

2022-02-09T19:45:52.000Z

FB2/__init__.py

Ae-Mc/FB2

2c29f774ab08bdad5bd6144b1be71b93146ce8fe

[ "MIT" ]

1

2020-11-15T11:04:59.000Z

2020-11-19T22:12:52.000Z

FB2/__init__.py

Ae-Mc/FB2

2c29f774ab08bdad5bd6144b1be71b93146ce8fe

[ "MIT" ]

null

from .FictionBook2 import FictionBook2 from .Author import Author from .TitleInfo import TitleInfo from .DocumentInfo import DocumentInfo

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py

Python

forecast_lab/metrics.py

gsimbr/forecast-lab

a26234f3e11b4b8268d6cbe33bb84d79da45ecdd

[ "MIT" ]

5

2019-06-04T11:04:06.000Z

2022-03-29T23:05:25.000Z

forecast_lab/metrics.py

gsimbr/forecast-lab

a26234f3e11b4b8268d6cbe33bb84d79da45ecdd

[ "MIT" ]

1

2022-02-14T13:22:47.000Z

forecast_lab/metrics.py

gsimbr/forecast-lab

a26234f3e11b4b8268d6cbe33bb84d79da45ecdd

[ "MIT" ]

2

2020-02-17T11:54:18.000Z

2020-10-06T12:49:15.000Z

import numpy import math from sklearn.metrics import mean_squared_error def root_mean_squared_error(y_true, y_pred): return math.sqrt(mean_squared_error(y_true, y_pred)) def mean_absolute_percentage_error(y_true, y_pred): return numpy.mean(numpy.abs((y_true - y_pred) / y_true)) * 100

29.5

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0.186047

0.367442

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295

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32.777778

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1

0

1

0

null

0

1

0

1

0

5

ce9f408bce05df804432eb2ae09a3fb7b0a734bb

67

py

Python

strategy/__init__.py

mmmaaaggg/QABAT

d6f20d926de047af6857e466cf28084d0ba69993

[ "MIT" ]

3

2019-08-31T18:01:10.000Z

2021-04-04T09:51:17.000Z

strategy/__init__.py

mmmaaaggg/QABAT

d6f20d926de047af6857e466cf28084d0ba69993

[ "MIT" ]

null

strategy/__init__.py

mmmaaaggg/QABAT

d6f20d926de047af6857e466cf28084d0ba69993

[ "MIT" ]

1

2020-08-15T17:04:14.000Z

# -*- coding: utf-8 -*- """ Created on 2017/11/18 @author: MG """

9.571429

23

0.522388

10

67

3.5

1

0

0.166667

0.19403

67

6

24

11.166667

0.481481

0.835821

0

null

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null

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1

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1

0

null

0

1

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5

cea36ec679e178237a093bbac8b36da547e73bca

46

py

Python

cloudbackup/tests/__init__.py

nloadholtes/python-cloudbackup-sdk

1866e23aaaac41c35be4cb6ab964fcd0ba9a8fe6

[ "Apache-2.0" ]

4

2015-02-10T14:28:12.000Z

2016-12-26T22:52:07.000Z

cloudbackup/tests/__init__.py

nloadholtes/python-cloudbackup-sdk

1866e23aaaac41c35be4cb6ab964fcd0ba9a8fe6

[ "Apache-2.0" ]

17

2015-01-22T21:58:36.000Z

2018-01-25T19:47:43.000Z

cloudbackup/tests/__init__.py

nloadholtes/python-cloudbackup-sdk

1866e23aaaac41c35be4cb6ab964fcd0ba9a8fe6

[ "Apache-2.0" ]

9

2015-01-26T19:25:45.000Z

2018-11-01T20:14:12.000Z

""" Rackspace Cloud Backup API Test Suite """

9.2

26

0.695652

6

46

5.333333

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0.173913

46

4

27

11.5

0.842105

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0

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0

null

0

1

0

5

cebc72a58b425fb7f7cd7143c3625b862489e1f9

178

py

Python

desafios/desafio 021.py

juaoantonio/curso_video_python

7520223d8647929530a1cd96f7c7d8c8f264ba1e

[ "MIT" ]

null

desafios/desafio 021.py

juaoantonio/curso_video_python

7520223d8647929530a1cd96f7c7d8c8f264ba1e

[ "MIT" ]

null

desafios/desafio 021.py

juaoantonio/curso_video_python

7520223d8647929530a1cd96f7c7d8c8f264ba1e

[ "MIT" ]

null

import pygame pygame.mixer.init() pygame.init() pygame.mixer.music.load('/home/jaab/Música/bach_1.wav') pygame.mixer.music.play() input() pygame.event.wait() pygame.mixer.stop()

19.777778

55

0.758427

28

178

4.785714

0.607143

0.328358

0.238806

0

0.005917

0.050562

178

8

56

22.25

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0

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0

1

0

true

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0.125

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0.125

0

1

0

null

1

0

1

0

null

0

1

0

5

0c6c60baa3e34ba265cfea8fd4ef73ba5f9cccb2

383

py

Python

tests/perf/test-prop-write.py

wenq1/duktape

5ed3eee19b291f3b3de0b212cc62c0aba0ab4ecb

[ "MIT" ]

4,268

2015-01-01T17:33:40.000Z

2022-03-31T17:53:31.000Z

tests/perf/test-prop-write.py

KiraanRK/esp32-duktape

1b7fbcb8bd6bfc346d92df30ec099df7f13b03aa

[ "MIT" ]

1,667

2015-01-01T22:43:03.000Z

2022-02-23T22:27:19.000Z

tests/perf/test-prop-write.py

KiraanRK/esp32-duktape

1b7fbcb8bd6bfc346d92df30ec099df7f13b03aa

[ "MIT" ]

565

2015-01-08T14:15:28.000Z

2022-03-31T16:29:31.000Z

def test(): obj = { 'xxx1': 1, 'xxx2': 2, 'xxx3': 4, 'xxx4': 4, 'foo': 123 } i = 0 while i < 1e7: obj['foo'] = 234 obj['foo'] = 234 obj['foo'] = 234 obj['foo'] = 234 obj['foo'] = 234 obj['foo'] = 234 obj['foo'] = 234 obj['foo'] = 234 obj['foo'] = 234 obj['foo'] = 234 i += 1 test()

21.277778

68

0.373368

51

383

2.803922

0.333333

0.41958

0.629371

0.755245

0.629371

0

0.2

0.412533

383

17

69

22.529412

0.435556

0

0.625

0

0.127937

0

1

0.0625

false

0

0.0625

0

null

1

0

1

0

1

0

null

0

5

0caedcb03495a9332700a86dd6b9b7674d0e59ac

32

py

Python

gaia-sdk-python/conftest.py

leftshiftone/gaia-sdk

7e0d1ce054fada8ae154da70b71e8a90347c9f97

[ "MIT" ]

null

gaia-sdk-python/conftest.py

leftshiftone/gaia-sdk

7e0d1ce054fada8ae154da70b71e8a90347c9f97

[ "MIT" ]

10

2019-11-14T07:55:47.000Z

2022-02-26T19:36:45.000Z

gaia-sdk-python/conftest.py

leftshiftone/gaia-sdk

7e0d1ce054fada8ae154da70b71e8a90347c9f97

[ "MIT" ]

2

2020-05-12T11:09:53.000Z

2020-12-25T14:03:04.000Z

# enabled testing relative paths

32

0.84375

4

32

6.75

1

0

0.125

32

1

32

0.964286

0.9375

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

0cb88d9738f070179ad3791e8725e49dddde3cbd

45

py

Python

Weltantschauung/__init__.py

area42/Weltanschauung-

85694740f149aa741f69a67bf234b447ba11fb22

[ "MIT" ]

null

Weltantschauung/__init__.py

area42/Weltanschauung-

85694740f149aa741f69a67bf234b447ba11fb22

[ "MIT" ]

null

Weltantschauung/__init__.py

area42/Weltanschauung-

85694740f149aa741f69a67bf234b447ba11fb22

[ "MIT" ]

null

from .Weltantschauung import Weltantschauung

22.5

44

0.888889

4

45

10

0.75

0

0.088889

45

1

45

0.97561

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0cc6f68c50e68c364cd5514c50d107da2d606391

122

py

Python

api/crawller/admin.py

MahsaSeifikar/tweetphus

01b687f38365023cfaaa34739c50b0da79f0b510

[ "MIT" ]

null

api/crawller/admin.py

MahsaSeifikar/tweetphus

01b687f38365023cfaaa34739c50b0da79f0b510

[ "MIT" ]

1

2021-12-26T16:35:36.000Z

2021-12-29T15:07:01.000Z

api/crawller/admin.py

MahsaSeifikar/tweetphus

01b687f38365023cfaaa34739c50b0da79f0b510

[ "MIT" ]

null

from django.contrib import admin from crawller.models import User # Register your models here. admin.site.register(User)

20.333333

32

0.811475

18

122

5.5

0.666667

0

0.122951

122

6

33

20.333333

0.925234

0.213115

0

1

0

true

0

0.666667

0

0.666667

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

0b6e713eceaaae29df8407fca294483723c28e41

17,811

py

Python

models/misc/modules.py

zgjslc/Film-Recovery-master1

4497a9930398c9e826ac364056a79e5bcbf6c953

[ "Apache-2.0" ]

null

models/misc/modules.py

zgjslc/Film-Recovery-master1

4497a9930398c9e826ac364056a79e5bcbf6c953

[ "Apache-2.0" ]

null

models/misc/modules.py

zgjslc/Film-Recovery-master1

4497a9930398c9e826ac364056a79e5bcbf6c953

[ "Apache-2.0" ]

null

""" Name: modules.py Desc: This script defines some base module for building networks. """ from typing import Any import torch import torch.nn as nn import torch.nn.functional as F class UNet_down_block(nn.Module): def __init__(self, input_channel, output_channel, down_size=True): super(UNet_down_block, self).__init__() self.conv1 = nn.Conv2d(input_channel, output_channel, 3, padding=1) self.bn1 = nn.GroupNorm(8, output_channel) self.conv2 = nn.Conv2d(output_channel, output_channel, 3, padding=1) self.bn2 = nn.GroupNorm(8, output_channel) self.conv3 = nn.Conv2d(output_channel, output_channel, 3, padding=1) self.bn3 = nn.GroupNorm(8, output_channel) self.max_pool = nn.MaxPool2d(2, 2) self.relu = nn.ReLU() self.down_size = down_size def forward(self, x): x = self.relu(self.bn1(self.conv1(x))) x = self.relu(self.bn2(self.conv2(x))) x = self.relu(self.bn3(self.conv3(x))) if self.down_size: x = self.max_pool(x) return x class UNet_up_block(nn.Module): def __init__(self, prev_channel, input_channel, output_channel, up_sample=True): super(UNet_up_block, self).__init__() self.up_sampling = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=False) self.conv1 = nn.Conv2d(prev_channel + input_channel, output_channel, 3, padding=1) self.bn1 = nn.GroupNorm(8, output_channel) self.conv2 = nn.Conv2d(output_channel, output_channel, 3, padding=1) self.bn2 = nn.GroupNorm(8, output_channel) self.conv3 = nn.Conv2d(output_channel, output_channel, 3, padding=1) self.bn3 = nn.GroupNorm(8, output_channel) self.relu = torch.nn.ReLU() self.up_sample = up_sample def forward(self, prev_feature_map, x): if self.up_sample: x = self.up_sampling(x) x = torch.cat((x, prev_feature_map), dim=1) x = self.relu(self.bn1(self.conv1(x))) x = self.relu(self.bn2(self.conv2(x))) x = self.relu(self.bn3(self.conv3(x))) return x class UNet(nn.Module): def __init__(self, downsample=6, in_channels=3, out_channels=3): super(UNet, self).__init__() self.in_channels, self.out_channels, self.downsample = in_channels, out_channels, downsample self.down1 = UNet_down_block(in_channels, 16, False) self.down_blocks = nn.ModuleList( [UNet_down_block(2**(4+i), 2**(5+i), True) for i in range(0, downsample)] ) bottleneck = 2**(4 + downsample) self.mid_conv1 = nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn1 = nn.GroupNorm(8, bottleneck) self.mid_conv2 = nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn2 = nn.GroupNorm(8, bottleneck) self.mid_conv3 = torch.nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn3 = nn.GroupNorm(8, bottleneck) self.up_blocks = nn.ModuleList( [UNet_up_block(2**(4+i), 2**(5+i), 2**(4+i)) for i in range(0, downsample)] ) self.last_conv1 = nn.Conv2d(16, 16, 3, padding=1) self.last_bn = nn.GroupNorm(8, 16) self.last_conv2 = nn.Conv2d(16, out_channels, 1, padding=0) self.relu = nn.ReLU() def forward(self, x): x = self.down1(x) xvals = [x] for i in range(0, self.downsample): x = self.down_blocks[i](x) xvals.append(x) x = self.relu(self.bn1(self.mid_conv1(x))) x = self.relu(self.bn2(self.mid_conv2(x))) x = self.relu(self.bn3(self.mid_conv3(x))) for i in range(0, self.downsample)[::-1]: x = self.up_blocks[i](xvals[i], x) x = self.relu(self.last_bn(self.last_conv1(x))) x = self.relu(self.last_conv2(x)) #x = self.last_conv2(x) return x ''' class UNetDepth(nn.Module): def __init__(self): super(UNetDepth, self).__init__() self.down_block1 = UNet_down_block(3, 16, False) self.down_block2 = UNet_down_block(16, 32, True) self.down_block3 = UNet_down_block(32, 64, True) self.down_block4 = UNet_down_block(64, 128, True) self.down_block5 = UNet_down_block(128, 256, True) self.down_block6 = UNet_down_block(256, 512, True) self.down_block7 = UNet_down_block(512, 1024, False) self.mid_conv1 = nn.Conv2d(1024, 1024, 3, padding=1) self.bn1 = nn.GroupNorm(8, 1024) self.mid_conv2 = nn.Conv2d(1024, 1024, 3, padding=1) self.bn2 = nn.GroupNorm(8, 1024) self.mid_conv3 = torch.nn.Conv2d(1024, 1024, 3, padding=1) self.bn3 = torch.nn.GroupNorm(8, 1024) self.up_block1 = UNet_up_block(512, 1024, 512, False) self.up_block2 = UNet_up_block(256, 512, 256, True) self.up_block3 = UNet_up_block(128, 256, 128, True) self.up_block4 = UNet_up_block(64, 128, 64, True) self.up_block5 = UNet_up_block(32, 64, 32, True) self.up_block6 = UNet_up_block(16, 32, 16, True) self.last_conv1 = nn.Conv2d(16, 16, 3, padding=1) self.last_bn = nn.GroupNorm(8, 16) self.last_conv2 = nn.Conv2d(16, 1, 1, padding=0) self.relu = nn.ReLU() def forward(self, x): x = self.x1 = self.down_block1(x) x = self.x2 = self.down_block2(self.x1) x = self.x3 = self.down_block3(self.x2) x = self.x4 = self.down_block4(self.x3) x = self.x5 = self.down_block5(self.x4) x = self.x6 = self.down_block6(self.x5) x = self.x7 = self.down_block7(self.x6) x = self.relu(self.bn1(self.mid_conv1(x))) x = self.relu(self.bn2(self.mid_conv2(x))) x = self.relu(self.bn3(self.mid_conv3(x))) x = self.up_block1(self.x6, x) x = self.up_block2(self.x5, x) x = self.up_block3(self.x4, x) x = self.up_block4(self.x3, x) x = self.up_block5(self.x2, x) x = self.up_block6(self.x1, x) x = self.relu(self.last_bn(self.last_conv1(x))) x = self.last_conv2(x) return x ''' class UNetDepth(nn.Module): def __init__(self): super(UNetDepth, self).__init__() self.down_block1 = UNet_down_block(3, 16, False) self.down_block2 = UNet_down_block(16, 32, True) self.down_block3 = UNet_down_block(32, 64, True) self.down_block4 = UNet_down_block(64, 128, True) self.down_block5 = UNet_down_block(128, 256, True) self.down_block6 = UNet_down_block(256, 512, False) self.mid_conv1 = nn.Conv2d(512, 512, 3, padding=1) self.bn1 = nn.GroupNorm(8, 512) self.mid_conv2 = nn.Conv2d(512, 512, 3, padding=1) self.bn2 = nn.GroupNorm(8, 512) self.mid_conv3 = torch.nn.Conv2d(512, 512, 3, padding=1) self.bn3 = torch.nn.GroupNorm(8, 512) self.up_block1 = UNet_up_block(256, 512, 256, False) self.up_block2 = UNet_up_block(128, 256, 128, True) self.up_block3 = UNet_up_block(64, 128, 64, True) self.up_block4 = UNet_up_block(32, 64, 32, True) self.up_block5 = UNet_up_block(16, 32, 16, True) self.last_conv1 = nn.Conv2d(16, 16, 3, padding=1) self.last_bn = nn.GroupNorm(8, 16) self.last_conv2 = nn.Conv2d(16, 1, 1, padding=0) self.relu = nn.ReLU() def forward(self, x): x = self.x1 = self.down_block1(x) x = self.x2 = self.down_block2(self.x1) x = self.x3 = self.down_block3(self.x2) x = self.x4 = self.down_block4(self.x3) x = self.x5 = self.down_block5(self.x4) x = self.x6 = self.down_block6(self.x5) x = self.relu(self.bn1(self.mid_conv1(x))) x = self.relu(self.bn2(self.mid_conv2(x))) x = self.relu(self.bn3(self.mid_conv3(x))) x = self.up_block1(self.x5, x) x = self.up_block2(self.x4, x) x = self.up_block3(self.x3, x) x = self.up_block4(self.x2, x) x = self.up_block5(self.x1, x) x = self.relu(self.last_bn(self.last_conv1(x))) x = self.last_conv2(x) return x class UNet_sim(nn.Module): def __init__(self, downsample=4, in_channels=3, out_channels=3): super(UNet_sim, self).__init__() self.downsample, self.in_channels, self.out_channels = downsample, in_channels, out_channels self.conv = ConvBlock(in_channels, 64) self.down_blocks = nn.ModuleList( [UNet_down_block(2 ** (6 + i), 2 ** (7 + i), True) for i in range(0, downsample)] ) bottleneck = 2 ** (6 + downsample) self.mid_conv1 = nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn1 = nn.GroupNorm(8, bottleneck) self.mid_conv2 = nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn2 = nn.GroupNorm(8, bottleneck) self.mid_conv3 = torch.nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn3 = nn.GroupNorm(8, bottleneck) self.up_blocks = nn.ModuleList( [UNet_up_block(2 ** (6 + i), 2 ** (7 + i), 2 ** (6 + i)) for i in range(0, downsample)] ) self.last_conv1 = nn.Conv2d(64, 64, 3, padding=1) self.last_bn = nn.GroupNorm(8, 64) self.last_conv2 = nn.Conv2d(64, out_channels, 1, padding=0) self.relu = nn.ReLU() def forward(self, x): x = self.conv(x) xvals = [x] for i in range(0, self.downsample): x = self.down_blocks[i](x) xvals.append(x) x = self.relu(self.bn1(self.mid_conv1(x))) x = self.relu(self.bn2(self.mid_conv2(x))) x = self.relu(self.bn3(self.mid_conv3(x))) for i in range(0, self.downsample)[::-1]: x = self.up_blocks[i](xvals[i], x) x = self.last_bn(self.last_conv1(x)) x = self.last_conv2(x) return x class Encoder(nn.Module): def __init__(self, downsample=6, in_channels=3): """:downsample the number of down blocks :in_channels the channel of input tensor """ super(Encoder, self).__init__() self.in_channels, self.downsample = in_channels, downsample self.down1 = UNet_down_block(in_channels, 16, False) self.down_blocks = nn.ModuleList( [UNet_down_block(2 ** (4 + i), 2 ** (5 + i), True) for i in range(0, downsample)] ) bottleneck = 2 ** (4 + downsample) self.mid_conv1 = nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn1 = nn.GroupNorm(8, bottleneck) self.mid_conv2 = nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn2 = nn.GroupNorm(8, bottleneck) self.mid_conv3 = torch.nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn3 = nn.GroupNorm(8, bottleneck) self.relu = nn.ReLU() def forward(self, x): x = self.down1(x) xvals = [x] for i in range(0, self.downsample): x = self.down_blocks[i](x) xvals.append(x) x = self.relu(self.bn1(self.mid_conv1(x))) x = self.relu(self.bn2(self.mid_conv2(x))) x = self.relu(self.bn3(self.mid_conv3(x))) return xvals, x class Decoder(nn.Module): def __init__(self, downsample, out_channels, combine_num=0): super(Decoder, self).__init__() self.out_channels, self.downsample = out_channels, downsample self.combine_num = combine_num self.up_blocks = nn.ModuleList( [UNet_up_block(2 ** (4 + i), 2 ** (5 + i), 2 ** (4 + i)) for i in range(0, self.downsample)]) self.last_conv1 = nn.Conv2d(16, 16, 3, padding=1) self.last_bn = nn.GroupNorm(8, 16) self.last_conv2 = nn.Conv2d(16, self.out_channels, 1, padding=0) self.up_sampling = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=False) self.relu = nn.ReLU() def forward(self, xvals, x): devals = [] for i in range(0, self.downsample)[::-1]: x = self.up_blocks[i](xvals[i], x) if i < self.combine_num: devals.append(x) y = self.last_bn(self.last_conv1(x)) y = self.last_conv2(x) if len(devals) > 0: for j, decode in enumerate(devals): for _ in range(len(devals) - 1 - j): decode = self.up_sampling(decode) devals[j] = decode combine_x = torch.cat(devals[::-1], dim=1) return y, combine_x else: return y, x class Encoder_sim(nn.Module): def __init__(self, downsample=4, in_channels=3): super(Encoder_sim, self).__init__() self.downsample = downsample self.conv = ConvBlock(in_channels, 64) self.down_blocks = nn.ModuleList( [UNet_down_block(2 ** (6 + i), 2 ** (7 + i), True) for i in range(0, downsample)] ) bottleneck = 2 ** (6 + self.downsample) self.mid_conv1 = nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn1 = nn.GroupNorm(8, bottleneck) self.mid_conv2 = nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn2 = nn.GroupNorm(8, bottleneck) self.mid_conv3 = torch.nn.Conv2d(bottleneck, bottleneck, 3, padding=1) self.bn3 = nn.GroupNorm(8, bottleneck) self.relu = nn.ReLU() def forward(self, x): x = self.conv(x) xvals = [x] for i in range(0, self.downsample): x = self.down_blocks[i](x) xvals.append(x) x = self.relu(self.bn1(self.mid_conv1(x))) x = self.relu(self.bn2(self.mid_conv2(x))) x = self.relu(self.bn3(self.mid_conv3(x))) return xvals, x class Decoder_sim(nn.Module): def __init__(self, downsample, out_channels): super(Decoder_sim, self).__init__() self.downsample, self.out_channels = downsample, out_channels self.up_blocks = nn.ModuleList( [UNet_up_block(2 ** (6 + i), 2 ** (7 + i), 2 ** (6 + i)) for i in range(0, self.downsample)] ) self.last_conv1 = nn.Conv2d(64, 64, 3, padding=1) self.last_bn = nn.GroupNorm(8, 64) self.last_conv2 = nn.Conv2d(64, self.out_channels, 1, padding=0) self.relu = nn.ReLU() def forward(self, xvals, x): for i in range(0, self.downsample)[::-1]: x = self.up_blocks[i](xvals[i], x) y = self.last_bn(self.last_conv1(x)) y = self.last_conv2(y) return y, x class ThreeD2NorDepth(nn.Module): def __init__(self, downsample=3, use_simple=True): super(ThreeD2NorDepth, self).__init__() if use_simple: self.threeD_encoder = Encoder_sim(downsample=downsample, in_channels=3) self.normal_decoder = Decoder_sim(downsample=downsample, out_channels=3) self.depth_decoder = Decoder_sim(downsample=downsample, out_channels=1) else: self.threeD_encoder = Encoder(downsample=downsample, in_channels=3) self.normal_decoder = Decoder(downsample=downsample, out_channels=3, combine_num=0) self.depth_decoder = Decoder(downsample=downsample, out_channels=1, combine_num=0) def forward(self, x): xvals, x = self.threeD_encoder(x) nor, _ = self.normal_decoder(xvals, x) dep, _ = self.depth_decoder(xvals, x) return nor, dep class AlbedoDecoder_sim(nn.Module): def __init__(self, downsample=6, out_channels=1): super(AlbedoDecoder_sim, self).__init__() self.out_channels, self.downsample = out_channels, downsample self.up_blocks = nn.ModuleList( [UNet_up_block(2 ** (7 + i), 2 ** (8 + i), 2 ** (7 + i)) for i in range(0, self.downsample)]) self.last_conv1 = nn.Conv2d(128, 64, 3, padding=1) self.last_bn = nn.GroupNorm(8, 64) self.last_conv2 = nn.Conv2d(64, self.out_channels, 1, padding=0) self.relu = nn.ReLU() def forward(self, xvals, x): for i in range(0, self.downsample)[::-1]: x = self.up_blocks[i](xvals[i], x) y = self.last_bn(self.last_conv1(x)) y = self.last_conv2(y) return y, x class AlbedoDecoder(nn.Module): def __init__(self, downsample=6, out_channels=1): super(AlbedoDecoder, self).__init__() self.out_channels, self.downsample = out_channels, downsample self.up_blocks = nn.ModuleList( [UNet_up_block(2 ** (5 + i), 2 ** (6 + i), 2 ** (5 + i)) for i in range(0, self.downsample)]) self.last_conv1 = nn.Conv2d(32, 32, 3, padding=1) self.last_bn = nn.GroupNorm(8, 32) self.last_conv2 = nn.Conv2d(32, self.out_channels, 1, padding=0) self.relu = nn.ReLU() def forward(self, xvals, x): for i in range(0, self.downsample)[::-1]: x = self.up_blocks[i](xvals[i], x) y = self.last_bn(self.last_conv1(x)) y = self.last_conv2(y) return y, x class ConvBlock(nn.Module): def __init__(self, f1, f2, kernel_size=3, padding=1, use_groupnorm=False, groups=8, dilation=1, transpose=False): super(ConvBlock, self).__init__() self.transpose = transpose self.conv = nn.Conv2d(f1, f2, (kernel_size, kernel_size), dilation=dilation, padding=padding*dilation) if self.transpose: self.convt = nn.ConvTranspose2d( f1, f1, (3, 3), dilation=dilation, stride=2, padding=dilation, output_padding=1 ) if use_groupnorm: self.bn = nn.GroupNorm(groups, f1) else: self.bn = nn.BatchNorm2d(f1) def forward(self, x): # x = F.dropout(x, 0.04, self.training) x = self.bn(x) if self.transpose: # x = F.upsample(x, scale_factor=2, mode='bilinear') x = F.relu(self.convt(x)) # x = x[:, :, :-1, :-1] x = F.relu(self.conv(x)) return x

41.133949

117

0.60311

2,633

17,811

3.898975

0.058488

0.036528

0.028638

0.040522

0.82856

0.805864

0.738067

0.718196

0.686636

0.64699

0

0.060643

0.259334

17,811

433

118

41.133949

0.717556

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0.549689

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0

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0.177019

0

null

0

1

0

1

0

null

0

5

0b83bfc7e85aab893f830a54d4b1eb6b31224483

43

py

Python

examples/getchar.py

scalabli/quo

70b6d4129ee705930f1f8a792fc4c9247d973f9d

[ "MIT" ]

3

2022-03-13T13:22:35.000Z

2022-03-18T08:22:51.000Z

examples/getchar.py

scalabli/quo

70b6d4129ee705930f1f8a792fc4c9247d973f9d

[ "MIT" ]

1

2022-03-21T16:29:54.000Z

examples/getchar.py

scalabli/quo

70b6d4129ee705930f1f8a792fc4c9247d973f9d

[ "MIT" ]

null

from quo.getchar import getchar getchar()

10.75

31

0.790698

6

43

5.666667

0.666667

0

0.139535

43

3

32

14.333333

0.918919

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true

0

0.5

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0.5

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null

0

1

0

null

0

1

0

1

0

5

0ba2dfd95ee79027d8c63a0c75d4bd279b8d3f02

30

py

Python

yolov3/utils/__init__.py

hysts/pytorch_yolov3

6d4c7a1e42d366894effac8ca52f7116f891b5ab

[ "MIT" ]

13

2019-03-22T15:22:22.000Z

2021-09-30T21:15:37.000Z

yolov3/utils/__init__.py

hysts/pytorch_yolov3

6d4c7a1e42d366894effac8ca52f7116f891b5ab

[ "MIT" ]

null

yolov3/utils/__init__.py

hysts/pytorch_yolov3

6d4c7a1e42d366894effac8ca52f7116f891b5ab

[ "MIT" ]

null

from yolov3.utils import data

15

29

0.833333

5

30

5

1

0

0.038462

0.133333

30

1

30

0.923077

0

1

0

true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

5

e7ea9b418ef09dc2361de5d9ada98bfd38198af3

19

py

Python

login.py

XM001-creater/test_one

1cf96a45c8dfbf988125e3d250d86fb06fe65c34

[ "MIT" ]

null

login.py

XM001-creater/test_one

1cf96a45c8dfbf988125e3d250d86fb06fe65c34

[ "MIT" ]

null

login.py

XM001-creater/test_one

1cf96a45c8dfbf988125e3d250d86fb06fe65c34

[ "MIT" ]

null

num1 =1 num2 = 222

6.333333

10

0.631579

4

19

3

1

0

0.428571

0.263158

19

2

11

9.5

0.428571

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

f0178f93e06a5ab22b51ea951cf67bdba0d3c339

59

py

Python

pdip/processing/factories/__init__.py

ahmetcagriakca/pdip

c4c16d5666a740154cabdc6762cd44d98b7bdde8

[ "MIT" ]

2

2021-12-09T21:07:46.000Z

2021-12-11T22:18:01.000Z

pdip/processing/factories/__init__.py

PythonDataIntegrator/pdip

c4c16d5666a740154cabdc6762cd44d98b7bdde8

[ "MIT" ]

null

pdip/processing/factories/__init__.py

PythonDataIntegrator/pdip

c4c16d5666a740154cabdc6762cd44d98b7bdde8

[ "MIT" ]

3

2021-11-15T00:47:00.000Z

2021-12-17T11:35:45.000Z

from .process_manager_factory import ProcessManagerFactory

29.5

58

0.915254

6

59

8.666667

1

0

0.067797

59

1

59

0.945455

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f042f18d33f05c333a291d256763c607089f137e

214

py

Python

answers/easy/single-number.py

kigawas/lintcode-python

c07177a9969abb3860c6c599fe1e4d8be9dd762e

[ "Apache-2.0" ]

1

2017-11-01T15:00:02.000Z

answers/easy/single-number.py

kigawas/lintcode-python

c07177a9969abb3860c6c599fe1e4d8be9dd762e

[ "Apache-2.0" ]

null

answers/easy/single-number.py

kigawas/lintcode-python

c07177a9969abb3860c6c599fe1e4d8be9dd762e

[ "Apache-2.0" ]

null

class Solution: """ @param A : an integer array @return : a integer """ def singleNumber(self, A): # write your code here return reduce(lambda x, y: x ^ y, A) if A != [] else 0

21.4

62

0.537383

30

214

3.833333

0.733333

0.034783

0

0.007092

0.341122

214

9

63

23.777778

0.808511

0.32243

0

0.111111

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f046760db9f9c57e0de347811b277f149a454916

49

py

Python

pluploader/upm/exceptions.py

craftamap/pluploader

c44e683282abb6fba8ced156aa807a66736a4ca1

[ "Apache-2.0" ]

12

2020-04-09T12:50:23.000Z

2020-10-30T14:43:40.000Z

pluploader/upm/exceptions.py

livelyapps/pluploader

39f2f50ba9625c038cdb1f5a7ecf2ad64da5577c

[ "Apache-2.0" ]

40

2020-04-12T15:25:46.000Z

2021-06-04T19:47:44.000Z

pluploader/upm/exceptions.py

craftamap/pluploader

c44e683282abb6fba8ced156aa807a66736a4ca1

[ "Apache-2.0" ]

2

2020-09-16T14:07:49.000Z

2020-10-30T14:45:07.000Z

class UploadFailedException(Exception): pass

16.333333

39

0.795918

4

49

9.75

1

0

0.142857

49

2

40

24.5

0.928571

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

f07d5c996cff48d3e4ce4edaac97743f3de1a7ce

171

py

Python

src/ihtt/__init__.py

dekoza/i-hate-time-tracking

adb6018b56c836317535f2e2346dfb8d9cce3aac

[ "Apache-2.0" ]

null

src/ihtt/__init__.py

dekoza/i-hate-time-tracking

adb6018b56c836317535f2e2346dfb8d9cce3aac

[ "Apache-2.0" ]

null

src/ihtt/__init__.py

dekoza/i-hate-time-tracking

adb6018b56c836317535f2e2346dfb8d9cce3aac

[ "Apache-2.0" ]

null

""" I Hate Time Tracking package. Get time tracking out of your way. """ from typing import List __all__: List[str] = [] # noqa: WPS410 (the only __variable__ we use)

17.1

70

0.695906

26

171

4.269231

0.884615

0.216216

0

0.021898

0.19883

171

9

71

19

0.788321

0.643275

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

b2bd1fc6f7777c13168c679b65bd978ef82ec6d2

164

py

Python

pbxproj/pbxsections/PBXResourcesBuildPhase.py

JoliChen/mod-pbxproj

24994416eec9cec838dce696c3cc9262c01ba883

[ "MIT" ]

1

2020-01-16T08:33:38.000Z

pbxproj/pbxsections/PBXResourcesBuildPhase.py

JoliChen/mod-pbxproj

24994416eec9cec838dce696c3cc9262c01ba883

[ "MIT" ]

null

pbxproj/pbxsections/PBXResourcesBuildPhase.py

JoliChen/mod-pbxproj

24994416eec9cec838dce696c3cc9262c01ba883

[ "MIT" ]

null

from pbxproj.pbxsections.PBXGenericBuildPhase import * class PBXResourcesBuildPhase(PBXGenericBuildPhase): def _get_comment(self): return 'Resources'

23.428571

54

0.786585

14

164

9.071429

0.928571

0

0.146341

164

6

55

27.333333

0.907143

0

0.054878

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b2d171ee084b4ded299d8d9b2d8e8e0fa604218a

213

py

Python

src/about.py

jukeboxroundtable/JukeboxRoundtable

06670d2e8511848829b68fddac5bc77806606f98

[ "MIT" ]

1

2019-02-15T17:33:51.000Z

src/about.py

jukeboxroundtable/JukeboxRoundtable

06670d2e8511848829b68fddac5bc77806606f98

[ "MIT" ]

37

2019-01-30T18:32:43.000Z

2019-06-11T18:00:11.000Z

src/about.py

jukeboxroundtable/JukeboxRoundtable

06670d2e8511848829b68fddac5bc77806606f98

[ "MIT" ]

null

from flask import Blueprint, render_template about_blueprint = Blueprint('about', __name__) @about_blueprint.route('/about') def about(): """Show the about page.""" return render_template('about.html')

21.3

46

0.7277

26

213

5.653846

0.576923

0.190476

0.258503

0

0.13615

213

9

47

23.666667

0.798913

0.093897

0

0.112299

0

1

0.2

false

0

0.2

0

0.6

1

0

null

0

1

0

1

0

null

0

1

0

5

b2feb55d6f844492c6231b317cce3362c8ea498f

69

py

Python

Bronze/Bronze_V/17496.py

masterTyper/baekjoon_solved_ac

b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c

[ "MIT" ]

null

Bronze/Bronze_V/17496.py

masterTyper/baekjoon_solved_ac

b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c

[ "MIT" ]

null

Bronze/Bronze_V/17496.py

masterTyper/baekjoon_solved_ac

b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c

[ "MIT" ]

null

N, T, C, P = map(int, input().split()) print(((N - 1) // T) * C * P)

23

38

0.434783

14

69

2.142857

0.714286

0.133333

0.2

0

0.018868

0.231884

69

3

39

23

0.54717

0

1

0

true

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

650f4d544268699293dfae61c4d5b0971b890ccb

50

py

Python

src/converters/__init__.py

Peilonrayz/json_to_object

ae5ba42dcab71010302f42d78dbfd559c12496c9

[ "MIT" ]

null

src/converters/__init__.py

Peilonrayz/json_to_object

ae5ba42dcab71010302f42d78dbfd559c12496c9

[ "MIT" ]

null

src/converters/__init__.py

Peilonrayz/json_to_object

ae5ba42dcab71010302f42d78dbfd559c12496c9

[ "MIT" ]

null

from .converter import Converter, Converters, ron

25

49

0.82

6

50

6.833333

0.833333

0

0.12

50

1

50

0.931818

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

651a2825c2a207bb2573070d6b6a820935667fe9

102

py

Python

Code/Python/LeetCode/tempCodeRunnerFile.py

dks1018/CoffeeShopCoding

13ac1700673c86c601eb2758570920620a956e4c

[ "ADSL" ]

null

Code/Python/LeetCode/tempCodeRunnerFile.py

dks1018/CoffeeShopCoding

13ac1700673c86c601eb2758570920620a956e4c

[ "ADSL" ]

null

Code/Python/LeetCode/tempCodeRunnerFile.py

dks1018/CoffeeShopCoding

13ac1700673c86c601eb2758570920620a956e4c

[ "ADSL" ]

null

arr_1 = ["1","2","3","4","5","6","7"] arr_2 = [] for n in arr_1: arr_2.insert(0,n) print(arr_2)

12.75

37

0.5

24

102

1.916667

0.583333

0.26087

0

0.154762

0.176471

102

7

38

14.571429

0.392857

0

0.068627

0

1

0

false

0

0.2

1

0

1

null

1

0

1

0

1

0

null

0

5

652bea27b54e41523374e9b0f3eb5a5744c81344

81

py

Python

pyeparse/tests/__init__.py

Eric89GXL/pyeparse

c1907c39276aacb0fad80034d69b537b07f82786

[ "BSD-3-Clause" ]

null

pyeparse/tests/__init__.py

Eric89GXL/pyeparse

c1907c39276aacb0fad80034d69b537b07f82786

[ "BSD-3-Clause" ]

null

pyeparse/tests/__init__.py

Eric89GXL/pyeparse

c1907c39276aacb0fad80034d69b537b07f82786

[ "BSD-3-Clause" ]

null

# Authors: Denis Engemann <[email protected]> # # License: BSD (3-clause)

20.25

52

0.716049

11

81

5.272727

0.818182

0.448276

0

0.014085

0.123457

81

3

53

27

0.802817

0.91358

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

653f3d126c9950c17fb6dd172757205541017a4a

164

py

Python

solutions/python3/1009.py

sm2774us/amazon_interview_prep_2021

f580080e4a6b712b0b295bb429bf676eb15668de

[ "MIT" ]

42

2020-08-02T07:03:49.000Z

2022-03-26T07:50:15.000Z

solutions/python3/1009.py

ajayv13/leetcode

de02576a9503be6054816b7444ccadcc0c31c59d

[ "MIT" ]

null

solutions/python3/1009.py

ajayv13/leetcode

de02576a9503be6054816b7444ccadcc0c31c59d

[ "MIT" ]

40

2020-02-08T02:50:24.000Z

2022-03-26T15:38:10.000Z

class Solution: def bitwiseComplement(self, N: int, M = 0, m = 0) -> int: return N ^ M if M and M >= N else self.bitwiseComplement(N, M + 2 ** m, m + 1)

54.666667

86

0.579268

29

164

3.275862

0.517241

0.042105

0

0.033613

0.27439

164

3

86

54.666667

0.764706

0

1

0.333333

false

0

0.333333

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0

null

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1

0

null

0

1

0

1

0

5

6541203743362ff0dff952a51d471197ab93e9cb

109

py

Python

deid/model/layers/__init__.py

KavishBhatia/deid-training-data

9d586cd7f52d929b2571028365587d3f96e44caa

[ "MIT" ]

15

2018-10-28T13:57:55.000Z

2022-01-03T07:25:04.000Z

deid/model/layers/__init__.py

KavishBhatia/deid-training-data

9d586cd7f52d929b2571028365587d3f96e44caa

[ "MIT" ]

7

2019-04-29T13:55:52.000Z

2021-12-13T19:51:30.000Z

deid/model/layers/__init__.py

KavishBhatia/deid-training-data

9d586cd7f52d929b2571028365587d3f96e44caa

[ "MIT" ]

3

2019-08-01T19:02:37.000Z

2021-01-08T09:12:25.000Z

from .gradient_reversal import GradientReversal from .noise import Noise, AdditiveNoise, MultiplicativeNoise

36.333333

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null

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1

0

1

0

1

0

5

e8db35ba967d9e65ca9d8b55e48764bb1fce3b61

101

py

Python

parents/admin.py

joseph0919/Student_Management_Django

085e839a86ac574f5ebe83a4911c5808841f50cd

[ "MIT" ]

null

parents/admin.py

joseph0919/Student_Management_Django

085e839a86ac574f5ebe83a4911c5808841f50cd

[ "MIT" ]

null

parents/admin.py

joseph0919/Student_Management_Django

085e839a86ac574f5ebe83a4911c5808841f50cd

[ "MIT" ]

null

from django.contrib import admin from parents.models import Guardian admin.site.register(Guardian)

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101

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null

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1

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1

0

1

0

5

e8e44f8a42a8c9211af1456c9b87394460144341

3,366

py

Python

openapi_server/controllers/instance_metadata_controller.py

eugenegesdisc/gmuedr

e8b3e5c7b8d18421d875f0f6f778a37a6d8ec3fd

[ "MIT" ]

null

openapi_server/controllers/instance_metadata_controller.py

eugenegesdisc/gmuedr

e8b3e5c7b8d18421d875f0f6f778a37a6d8ec3fd

[ "MIT" ]

null

openapi_server/controllers/instance_metadata_controller.py

eugenegesdisc/gmuedr

e8b3e5c7b8d18421d875f0f6f778a37a6d8ec3fd

[ "MIT" ]

null

from typing import List, Dict from aiohttp import web from openapi_server.models.edr_feature_collection_geo_json import EdrFeatureCollectionGeoJSON from openapi_server.models.exception import Exception from openapi_server.models.one_ofobjectobject import OneOfobjectobject from openapi_server import util async def list_data_instance_locations(request: web.Request, collection_id, instance_id, bbox=None, datetime=None, limit=None) -> web.Response: """List available location identifers for the instance List the locations available for the instance of the collection :param collection_id: Identifier (id) of a specific collection :type collection_id: str :param instance_id: Identifier (id) of a specific instance of a collection :type instance_id: str :param bbox: Only features that have a geometry that intersects the bounding box are selected. The bounding box is provided as four or six numbers, depending on whether the coordinate reference system includes a vertical axis (height or depth): * Lower left corner, coordinate axis 1 * Lower left corner, coordinate axis 2 * Minimum value, coordinate axis 3 (optional) * Upper right corner, coordinate axis 1 * Upper right corner, coordinate axis 2 * Maximum value, coordinate axis 3 (optional) The coordinate reference system of the values is specified by the `crs` query parameter. If the `crs` query parameter is not defined the coordinate reference system is defined by the default `crs` for the query type. If a default `crs` has not been defined the values will be assumed to be in the WGS 84 longitude/latitude (http://www.opengis.net/def/crs/OGC/1.3/CRS84) coordinate reference system. For WGS 84 longitude/latitude the values are in most cases the sequence of minimum longitude, minimum latitude, maximum longitude and maximum latitude. However, in cases where the box spans the antimeridian the first value (west-most box edge) is larger than the third value (east-most box edge). If the vertical axis is included, the third and the sixth number are the bottom and the top of the 3-dimensional bounding box. If a feature has multiple spatial geometry properties, it is the decision of the server whether only a single spatial geometry property is used to determine the extent or all relevant geometries. :type bbox: dict | bytes :param datetime: Either a date-time or an interval, open or closed. Date and time expressions adhere to RFC 3339. Open intervals are expressed using double-dots. Examples: * A date-time: \"2018-02-12T23:20:50Z\" * A closed interval: \"2018-02-12T00:00:00Z/2018-03-18T12:31:12Z\" * Open intervals: \"2018-02-12T00:00:00Z/..\" or \"../2018-03-18T12:31:12Z\" Only features that have a temporal property that intersects the value of `datetime` are selected. If a feature has multiple temporal properties, it is the decision of the server whether only a single temporal property is used to determine the extent or all relevant temporal properties. :type datetime: str :param limit: The optional limit parameter limits the number of results that are presented in the response document. Minimum = 1. Maximum = 10000. Default = 10. :type limit: int """ # bbox = .from_dict(bbox) return web.Response(status=200)

116.068966

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0.026528

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0.043173

0.153595

3,366

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1,558

120.214286

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0.875

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null

0

1

0

1

0

1

0

5

e8eaacdbf20c0fc2ed919b5008d2aa81872089dc

192

py

Python

pyGAE/handlers/ManageSubscriptionHandler.py

analyticstraining/pycocms

29d7c3eea9377495bcafd8b8c62016c21c1a74a7

[ "MIT" ]

null

pyGAE/handlers/ManageSubscriptionHandler.py

analyticstraining/pycocms

29d7c3eea9377495bcafd8b8c62016c21c1a74a7

[ "MIT" ]

null

pyGAE/handlers/ManageSubscriptionHandler.py

analyticstraining/pycocms

29d7c3eea9377495bcafd8b8c62016c21c1a74a7

[ "MIT" ]

null

from BaseHandler import BaseHandler, user_required class ManageSubscriptionHandler(BaseHandler): @user_required def get(self): self.render_template('manage_subscription.html')

32

56

0.786458

20

192

7.35

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0.204082

0.312925

0

0.140625

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null

1

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1

0

null

0

1

0

5

3300e6cf675f4b79e58bd1692aff8eee2b9eee77

124

py

Python

math/PowerModPower.py

silvioedu/HackerRank-Python-Practice

e31ebe49d431c0a23fed0cd67a6984e2b0b7a260

[ "MIT" ]

null

math/PowerModPower.py

silvioedu/HackerRank-Python-Practice

e31ebe49d431c0a23fed0cd67a6984e2b0b7a260

[ "MIT" ]

null

math/PowerModPower.py

silvioedu/HackerRank-Python-Practice

e31ebe49d431c0a23fed0cd67a6984e2b0b7a260

[ "MIT" ]

null

if __name__ == '__main__': a, b, m = int(input()),int(input()),int(input()) print(pow(a,b)) print(pow(a,b,m))

31

53

0.532258

21

124

2.761905

0.47619

0.103448

0.551724

0

0.201613

124

4

54

31

0.585859

0

0.065574

0

1

0

true

0

0.5

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0

null

0

1

0

1

0

null

0

1

0

1

0

5

3301f92fef2ea95eab5a3e90a808b11c54276e49

273

py

Python

test_autolens/integration/tests/imaging/lens_only/mock_nlo/lens_light__hyper_bg_noise.py

PyJedi/PyAutoLens

bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7

[ "MIT" ]

1

2020-04-06T20:07:56.000Z

test_autolens/integration/tests/imaging/lens_only/mock_nlo/lens_light__hyper_bg_noise.py

PyJedi/PyAutoLens

bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7

[ "MIT" ]

null

test_autolens/integration/tests/imaging/lens_only/mock_nlo/lens_light__hyper_bg_noise.py

PyJedi/PyAutoLens

bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7

[ "MIT" ]

null

from test_autolens.integration.tests.imaging.lens_only import lens_light__hyper_bg_noise from test_autolens.integration.tests.imaging.runner import run_a_mock class TestCase: def _test__lens_light__hyper_bg_noise(self): run_a_mock(lens_light__hyper_bg_noise)

34.125

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0.849817

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273

4.813953

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0.130435

0.202899

0.231884

0.681159

0.376812

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0.098901

273

7

89

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0.841463

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null

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null

0

1

0

1

0

5

3306b230b7b452f85e6bb142239de2540a26cb53

72

py

Python

marrow/interface/__init__.py

marrow/interface

4d60f9fc16e949c5da3b3756c77d60fe84f0ed2d

[ "MIT" ]

2

2016-03-22T15:21:48.000Z

2017-02-21T23:52:46.000Z

marrow/interface/__init__.py

marrow/interface

4d60f9fc16e949c5da3b3756c77d60fe84f0ed2d

[ "MIT" ]

1

2019-01-21T22:09:00.000Z

marrow/interface/__init__.py

marrow/interface

4d60f9fc16e949c5da3b3756c77d60fe84f0ed2d

[ "MIT" ]

2

2015-12-21T03:24:06.000Z

2016-11-10T15:19:27.000Z

from .meta import Interface from .release import version as __version__

24

43

0.833333

10

72

5.6

0.7

0

0.138889

72

2

44

36

0.903226

0

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true

0

1

0

1

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null

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1

0

null

0

1

0

1

0

1

0

5

3334965719b021bbd03119042e95c8563a0cdb7e

9,233

py

Python

tests.py

jpchiodini/Grasp-Planning

e31234244b8f934743605ebea59d9d98a258957e

[ "MIT" ]

null

tests.py

jpchiodini/Grasp-Planning

e31234244b8f934743605ebea59d9d98a258957e

[ "MIT" ]

null

tests.py

jpchiodini/Grasp-Planning

e31234244b8f934743605ebea59d9d98a258957e

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ tests.py ======== Created by: hbldh <[email protected]> Created on: 2016-02-07, 23:50 """ from __future__ import division from __future__ import print_function from __future__ import unicode_literals from __future__ import absolute_import import numpy as np import pyefd lbl_1 = 5 img_1 = np.array( [[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 191, 64, 127, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 127, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 64, 0, 0, 0, 0, 64, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 191, 0, 0, 0, 0, 0, 0, 0, 64, 127, 64, 64, 0, 0, 64, 191, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 191, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 127, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 64, 0, 0, 127, 255, 255, 191, 64, 0, 0, 0, 0, 0, 64, 127, 127, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 191, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 191, 0, 0, 0, 64, 127, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 64, 0, 0, 0, 0, 0, 64, 191, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 127, 64, 0, 0, 0, 0, 64, 191, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 191, 127, 0, 0, 0, 0, 127, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 191, 127, 0, 0, 0, 64, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 191, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 127, 0, 0, 127, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 127, 0, 0, 127, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 127, 191, 255, 255, 255, 255, 127, 0, 0, 0, 191, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 127, 0, 127, 255, 255, 191, 64, 0, 0, 0, 191, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 191, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 127, 0, 0, 0, 0, 0, 0, 64, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 127, 0, 0, 0, 64, 191, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255]]) contour_1 = np.array([[24.0, 13.0125], [23.0125, 14.0], [23.004188481675392, 15.0], [23.0, 15.0125], [22.0125, 16.0], [22.00313725490196, 17.0], [22.0, 17.004188481675392], [21.0, 17.004188481675392], [20.004188481675392, 18.0], [20.0, 18.004188481675392], [19.0, 18.006299212598424], [18.0, 18.006299212598424], [17.0, 18.004188481675392], [16.9875, 18.0], [16.0, 17.0125], [15.993700787401576, 17.0], [15.0, 16.006299212598424], [14.995811518324608, 16.0], [14.9875, 15.0], [14.0, 14.0125], [13.995811518324608, 14.0], [13.9875, 13.0], [13.0, 12.0125], [12.996862745098039, 12.0], [12.993700787401576, 11.0], [12.9875, 10.0], [12.0, 9.0125], [11.0, 9.003137254901961], [10.0, 9.006299212598424], [9.006299212598424, 10.0], [9.003137254901961, 11.0], [9.003137254901961, 12.0], [9.004188481675392, 13.0], [9.0125, 14.0], [10.0, 14.9875], [10.003137254901961, 15.0], [10.003137254901961, 16.0], [10.003137254901961, 17.0], [10.003137254901961, 18.0], [10.003137254901961, 19.0], [10.0, 19.0125], [9.0125, 20.0], [9.006299212598424, 21.0], [9.006299212598424, 22.0], [9.0, 22.006299212598424], [8.9875, 22.0], [8.0, 21.0125], [7.996862745098039, 21.0], [7.996862745098039, 20.0], [8.0, 19.9875], [8.9875, 19.0], [8.9875, 18.0], [8.993700787401576, 17.0], [8.9875, 16.0], [8.0, 15.0125], [7.996862745098039, 15.0], [7.9875, 14.0], [7.0, 13.0125], [6.993700787401575, 13.0], [6.0, 12.006299212598424], [5.993700787401575, 12.0], [5.9875, 11.0], [5.995811518324607, 10.0], [6.0, 9.996862745098039], [7.0, 9.9875], [7.9875, 9.0], [8.0, 8.995811518324608], [8.995811518324608, 8.0], [9.0, 7.995811518324607], [10.0, 7.9875], [10.9875, 7.0], [11.0, 6.995811518324607], [12.0, 6.995811518324607], [12.0125, 7.0], [13.0, 7.9875], [13.003137254901961, 8.0], [13.006299212598424, 9.0], [13.0125, 10.0], [14.0, 10.9875], [14.004188481675392, 11.0], [14.006299212598424, 12.0], [15.0, 12.993700787401576], [15.004188481675392, 13.0], [15.006299212598424, 14.0], [16.0, 14.993700787401576], [16.00313725490196, 15.0], [17.0, 15.996862745098039], [17.006299212598424, 16.0], [18.0, 16.993700787401576], [19.0, 16.993700787401576], [19.993700787401576, 16.0], [20.0, 15.993700787401576], [20.993700787401576, 15.0], [21.0, 14.9875], [21.9875, 14.0], [21.995811518324608, 13.0], [21.99686274509804, 12.0], [21.99686274509804, 11.0], [21.993700787401576, 10.0], [21.0, 9.006299212598424], [20.993700787401576, 9.0], [21.0, 8.993700787401576], [22.0, 8.996862745098039], [22.006299212598424, 9.0], [23.0, 9.993700787401576], [23.006299212598424, 10.0], [24.0, 10.993700787401576], [24.00313725490196, 11.0], [24.00313725490196, 12.0], [24.00313725490196, 13.0], [24.0, 13.0125]]) def test_efd_shape_1(): coeffs = pyefd.elliptic_fourier_descriptors(contour_1, order=10) assert coeffs.shape == (10, 4) def test_efd_shape_2(): c = pyefd.elliptic_fourier_descriptors(contour_1, order=40) assert c.shape == (40, 4) def test_normalizing_1(): c = pyefd.elliptic_fourier_descriptors(contour_1, normalize=False) assert np.abs(c[0, 0]) > 0.0 assert np.abs(c[0, 1]) > 0.0 assert np.abs(c[0, 2]) > 0.0 def test_normalizing_2(): c = pyefd.elliptic_fourier_descriptors(contour_1, normalize=True) np.testing.assert_almost_equal(c[0, 0], 1.0, decimal=14) np.testing.assert_almost_equal(c[0, 1], 0.0, decimal=14) np.testing.assert_almost_equal(c[0, 2], 0.0, decimal=14) def test_locus(): locus = pyefd.calculate_dc_coefficients(contour_1) np.testing.assert_array_almost_equal(locus, np.mean(contour_1, axis=0), decimal=0) def test_fit_1(): n = 300 locus = pyefd.calculate_dc_coefficients(contour_1) coeffs = pyefd.elliptic_fourier_descriptors(contour_1, order=20) t = np.linspace(0, 1.0, n) xt = np.ones((n,)) * locus[0] yt = np.ones((n,)) * locus[1] for n in pyefd._range(coeffs.shape[0]): xt += (coeffs[n, 0] * np.cos(2 * (n + 1) * np.pi * t)) + \ (coeffs[n, 1] * np.sin(2 * (n + 1) * np.pi * t)) yt += (coeffs[n, 2] * np.cos(2 * (n + 1) * np.pi * t)) + \ (coeffs[n, 3] * np.sin(2 * (n + 1) * np.pi * t)) assert True

58.069182

120

0.552475

1,533

9,233

3.283757

0.077626

0.725864

1.045888

1.342074

0.53536

0.530393

0.529996

0.499007

0.463051

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0.578673

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9,233

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121

58.436709

0.150681

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0.079365

1

0.047619

false

0

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0.095238

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null

1

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1

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1

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null

0

5

333df86277504bde365d69f5650cddd392f0652c

96

py

Python

venv/lib/python3.8/site-packages/poetry/core/_vendor/lark/parsers/earley_forest.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/poetry/core/_vendor/lark/parsers/earley_forest.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/poetry/core/_vendor/lark/parsers/earley_forest.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/8f/d6/74/783ee5c7dc6070d67f88eab5cd5dae217fdec6556b8d97a3bd1061e541

96

0.895833

9

96

9.555556

1

0

0.385417

0

96

1

96

0.510417

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

null

1

0

1

0

5

3350e65017c77b155a623adbb0c445784ce6a443

33,168

py

Python

cinder/tests/unit/policies/test_volume.py

arunvinodqmco/cinder

62cb72c6890e458427ba0601646b186b7b36dc01

[ "Apache-2.0" ]

571

2015-01-01T17:47:26.000Z

2022-03-23T07:46:36.000Z

cinder/tests/unit/policies/test_volume.py

arunvinodqmco/cinder

62cb72c6890e458427ba0601646b186b7b36dc01

[ "Apache-2.0" ]

37

2015-01-22T23:27:04.000Z

2021-02-05T16:38:48.000Z

cinder/tests/unit/policies/test_volume.py

arunvinodqmco/cinder

62cb72c6890e458427ba0601646b186b7b36dc01

[ "Apache-2.0" ]

841

2015-01-04T17:17:11.000Z

2022-03-31T12:06:51.000Z

# # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from http import HTTPStatus from unittest import mock import ddt from cinder.api.contrib import volume_encryption_metadata from cinder.api.contrib import volume_tenant_attribute from cinder.api.v3 import volumes from cinder import exception from cinder.policies import volumes as volume_policies from cinder.tests.unit.api import fakes as fake_api from cinder.tests.unit import fake_constants from cinder.tests.unit.policies import base from cinder.tests.unit.policies import test_base from cinder.tests.unit import utils as test_utils from cinder.volume import api as volume_api # TODO(yikun): The below policy test cases should be added: # * HOST_ATTRIBUTE_POLICY # * MIG_ATTRIBUTE_POLICY class VolumePolicyTests(test_base.CinderPolicyTests): def test_admin_can_create_volume(self): admin_context = self.admin_context path = '/v3/%(project_id)s/volumes' % { 'project_id': admin_context.project_id } body = {"volume": {"size": 1}} response = self._get_request_response(admin_context, path, 'POST', body=body) self.assertEqual(HTTPStatus.ACCEPTED, response.status_int) def test_nonadmin_user_can_create_volume(self): user_context = self.user_context path = '/v3/%(project_id)s/volumes' % { 'project_id': user_context.project_id } body = {"volume": {"size": 1}} response = self._get_request_response(user_context, path, 'POST', body=body) self.assertEqual(HTTPStatus.ACCEPTED, response.status_int) def test_admin_can_create_volume_from_image(self): admin_context = self.admin_context path = '/v3/%(project_id)s/volumes' % { 'project_id': admin_context.project_id } body = {"volume": {"size": 1, "image_id": fake_constants.IMAGE_ID}} response = self._get_request_response(admin_context, path, 'POST', body=body) self.assertEqual(HTTPStatus.ACCEPTED, response.status_int) def test_nonadmin_user_can_create_volume_from_image(self): user_context = self.user_context path = '/v3/%(project_id)s/volumes' % { 'project_id': user_context.project_id } body = {"volume": {"size": 1, "image_id": fake_constants.IMAGE_ID}} response = self._get_request_response(user_context, path, 'POST', body=body) self.assertEqual(HTTPStatus.ACCEPTED, response.status_int) @mock.patch.object(volume_api.API, 'get_volume') def test_admin_can_show_volumes(self, mock_volume): # Make sure administrators are authorized to list volumes admin_context = self.admin_context volume = self._create_fake_volume(admin_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': admin_context.project_id, 'volume_id': volume.id } response = self._get_request_response(admin_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) self.assertEqual(response.json_body['volume']['id'], volume.id) @mock.patch.object(volume_api.API, 'get_volume') def test_owner_can_show_volumes(self, mock_volume): # Make sure owners are authorized to list their volumes user_context = self.user_context volume = self._create_fake_volume(user_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': user_context.project_id, 'volume_id': volume.id } response = self._get_request_response(user_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) self.assertEqual(response.json_body['volume']['id'], volume.id) @mock.patch.object(volume_api.API, 'get_volume') def test_owner_cannot_show_volumes_for_others(self, mock_volume): # Make sure volumes are only exposed to their owners owner_context = self.user_context non_owner_context = self.other_user_context volume = self._create_fake_volume(owner_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': non_owner_context.project_id, 'volume_id': volume.id } response = self._get_request_response(non_owner_context, path, 'GET') # NOTE(lbragstad): Technically, this user isn't supposed to see this # volume, because they didn't create it and it lives in a different # project. Does cinder return a 404 in cases like this? Or is a 403 # expected? self.assertEqual(HTTPStatus.NOT_FOUND, response.status_int) def test_admin_can_get_all_volumes_detail(self): # Make sure administrators are authorized to list volumes admin_context = self.admin_context volume = self._create_fake_volume(admin_context) path = '/v3/%(project_id)s/volumes/detail' % { 'project_id': admin_context.project_id } response = self._get_request_response(admin_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) res_vol = response.json_body['volumes'][0] self.assertEqual(volume.id, res_vol['id']) def test_owner_can_get_all_volumes_detail(self): # Make sure owners are authorized to list volumes user_context = self.user_context volume = self._create_fake_volume(user_context) path = '/v3/%(project_id)s/volumes/detail' % { 'project_id': user_context.project_id } response = self._get_request_response(user_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) res_vol = response.json_body['volumes'][0] self.assertEqual(volume.id, res_vol['id']) @mock.patch.object(volume_api.API, 'get') def test_admin_can_update_volumes(self, mock_volume): admin_context = self.admin_context volume = self._create_fake_volume(admin_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': admin_context.project_id, 'volume_id': volume.id } body = {"volume": {"name": "update_name"}} response = self._get_request_response(admin_context, path, 'PUT', body=body) self.assertEqual(HTTPStatus.OK, response.status_int) @mock.patch.object(volume_api.API, 'get') def test_owner_can_update_volumes(self, mock_volume): user_context = self.user_context volume = self._create_fake_volume(user_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': user_context.project_id, 'volume_id': volume.id } body = {"volume": {"name": "update_name"}} response = self._get_request_response(user_context, path, 'PUT', body=body) self.assertEqual(HTTPStatus.OK, response.status_int) @mock.patch.object(volume_api.API, 'get') def test_owner_cannot_update_volumes_for_others(self, mock_volume): owner_context = self.user_context non_owner_context = self.other_user_context volume = self._create_fake_volume(owner_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': non_owner_context.project_id, 'volume_id': volume.id } body = {"volume": {"name": "update_name"}} response = self._get_request_response(non_owner_context, path, 'PUT', body=body) self.assertEqual(HTTPStatus.FORBIDDEN, response.status_int) @mock.patch.object(volume_api.API, 'get') def test_owner_can_delete_volumes(self, mock_volume): user_context = self.user_context volume = self._create_fake_volume(user_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': user_context.project_id, 'volume_id': volume.id } response = self._get_request_response(user_context, path, 'DELETE') self.assertEqual(HTTPStatus.ACCEPTED, response.status_int) @mock.patch.object(volume_api.API, 'get') def test_admin_can_delete_volumes(self, mock_volume): admin_context = self.admin_context volume = self._create_fake_volume(admin_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': admin_context.project_id, 'volume_id': volume.id } response = self._get_request_response(admin_context, path, 'DELETE') self.assertEqual(HTTPStatus.ACCEPTED, response.status_int) @mock.patch.object(volume_api.API, 'get') def test_owner_cannot_delete_volumes_for_others(self, mock_volume): owner_context = self.user_context non_owner_context = self.other_user_context volume = self._create_fake_volume(owner_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': non_owner_context.project_id, 'volume_id': volume.id } response = self._get_request_response(non_owner_context, path, 'DELETE') self.assertEqual(HTTPStatus.FORBIDDEN, response.status_int) @mock.patch.object(volume_api.API, 'get_volume') def test_admin_can_show_tenant_id_in_volume(self, mock_volume): # Make sure administrators are authorized to show tenant_id admin_context = self.admin_context volume = self._create_fake_volume(admin_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': admin_context.project_id, 'volume_id': volume.id } response = self._get_request_response(admin_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) res_vol = response.json_body['volume'] self.assertEqual(admin_context.project_id, res_vol['os-vol-tenant-attr:tenant_id']) @mock.patch.object(volume_api.API, 'get_volume') def test_owner_can_show_tenant_id_in_volume(self, mock_volume): # Make sure owners are authorized to show tenant_id in volume user_context = self.user_context volume = self._create_fake_volume(user_context) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s' % { 'project_id': user_context.project_id, 'volume_id': volume.id } response = self._get_request_response(user_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) res_vol = response.json_body['volume'] self.assertEqual(user_context.project_id, res_vol['os-vol-tenant-attr:tenant_id']) def test_admin_can_show_tenant_id_in_volume_detail(self): # Make sure admins are authorized to show tenant_id in volume detail admin_context = self.admin_context self._create_fake_volume(admin_context) path = '/v3/%(project_id)s/volumes/detail' % { 'project_id': admin_context.project_id } response = self._get_request_response(admin_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) res_vol = response.json_body['volumes'][0] # Make sure owners are authorized to show tenant_id self.assertEqual(admin_context.project_id, res_vol['os-vol-tenant-attr:tenant_id']) def test_owner_can_show_tenant_id_in_volume_detail(self): # Make sure owners are authorized to show tenant_id in volume detail user_context = self.user_context self._create_fake_volume(user_context) path = '/v3/%(project_id)s/volumes/detail' % { 'project_id': user_context.project_id } response = self._get_request_response(user_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) res_vol = response.json_body['volumes'][0] # Make sure owners are authorized to show tenant_id self.assertEqual(user_context.project_id, res_vol['os-vol-tenant-attr:tenant_id']) def test_admin_can_create_metadata(self): admin_context = self.admin_context volume = self._create_fake_volume(admin_context, metadata={"k": "v"}) path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata' % { 'project_id': admin_context.project_id, 'volume_id': volume.id } body = {"metadata": {"k1": "v1"}} response = self._get_request_response(admin_context, path, 'POST', body=body) self.assertEqual(HTTPStatus.OK, response.status_int) def test_admin_can_get_metadata(self): admin_context = self.admin_context volume = self._create_fake_volume(admin_context, metadata={"k": "v"}) path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata' % { 'project_id': admin_context.project_id, 'volume_id': volume.id } response = self._get_request_response(admin_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) res_meta = response.json_body['metadata'] self.assertIn('k', res_meta) self.assertEqual('v', res_meta['k']) def test_admin_can_update_metadata(self): admin_context = self.admin_context volume = self._create_fake_volume(admin_context, metadata={"k": "v"}) path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata' % { 'project_id': admin_context.project_id, 'volume_id': volume.id } body = {"metadata": {"k": "v2"}} response = self._get_request_response(admin_context, path, 'PUT', body=body) self.assertEqual(HTTPStatus.OK, response.status_int) res_meta = response.json_body['metadata'] self.assertIn('k', res_meta) self.assertEqual('v2', res_meta['k']) def test_admin_can_delete_metadata(self): admin_context = self.admin_context volume = self._create_fake_volume(admin_context, metadata={"k": "v"}) path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata/%(key)s' % { 'project_id': admin_context.project_id, 'volume_id': volume.id, 'key': 'k' } response = self._get_request_response(admin_context, path, 'DELETE') self.assertEqual(HTTPStatus.OK, response.status_int) def test_owner_can_create_metadata(self): user_context = self.user_context volume = self._create_fake_volume(user_context, metadata={"k": "v"}) path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata' % { 'project_id': user_context.project_id, 'volume_id': volume.id } body = {"metadata": {"k1": "v1"}} response = self._get_request_response(user_context, path, 'POST', body=body) self.assertEqual(HTTPStatus.OK, response.status_int) def test_owner_can_get_metadata(self): user_context = self.user_context volume = self._create_fake_volume(user_context, metadata={"k": "v"}) path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata' % { 'project_id': user_context.project_id, 'volume_id': volume.id } response = self._get_request_response(user_context, path, 'GET') self.assertEqual(HTTPStatus.OK, response.status_int) res_meta = response.json_body['metadata'] self.assertIn('k', res_meta) self.assertEqual('v', res_meta['k']) def test_owner_can_update_metadata(self): user_context = self.user_context volume = self._create_fake_volume(user_context, metadata={"k": "v"}) path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata' % { 'project_id': user_context.project_id, 'volume_id': volume.id } body = {"metadata": {"k": "v2"}} response = self._get_request_response(user_context, path, 'PUT', body=body) self.assertEqual(HTTPStatus.OK, response.status_int) res_meta = response.json_body['metadata'] self.assertIn('k', res_meta) self.assertEqual('v2', res_meta['k']) def test_owner_can_delete_metadata(self): user_context = self.user_context volume = self._create_fake_volume(user_context, metadata={"k": "v"}) path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata/%(key)s' % { 'project_id': user_context.project_id, 'volume_id': volume.id, 'key': 'k' } response = self._get_request_response(user_context, path, 'DELETE') self.assertEqual(HTTPStatus.OK, response.status_int) @mock.patch.object(volume_api.API, 'get') def test_owner_cannot_create_metadata_for_others(self, mock_volume): owner_context = self.user_context non_owner_context = self.other_user_context volume = self._create_fake_volume(owner_context, metadata={"k": "v"}) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata' % { 'project_id': non_owner_context.project_id, 'volume_id': volume.id } body = {"metadata": {"k1": "v1"}} response = self._get_request_response(non_owner_context, path, 'POST', body=body) self.assertEqual(HTTPStatus.FORBIDDEN, response.status_int) @mock.patch.object(volume_api.API, 'get') def test_owner_cannot_get_metadata_for_others(self, mock_volume): owner_context = self.user_context non_owner_context = self.other_user_context volume = self._create_fake_volume(owner_context, metadata={"k": "v"}) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata' % { 'project_id': non_owner_context.project_id, 'volume_id': volume.id } response = self._get_request_response(non_owner_context, path, 'GET') self.assertEqual(HTTPStatus.FORBIDDEN, response.status_int) @mock.patch.object(volume_api.API, 'get') def test_owner_cannot_update_metadata_for_others(self, mock_volume): owner_context = self.user_context non_owner_context = self.other_user_context volume = self._create_fake_volume(owner_context, metadata={"k": "v"}) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata' % { 'project_id': non_owner_context.project_id, 'volume_id': volume.id } body = {"metadata": {"k": "v2"}} response = self._get_request_response(non_owner_context, path, 'PUT', body=body) self.assertEqual(HTTPStatus.FORBIDDEN, response.status_int) @mock.patch.object(volume_api.API, 'get') def test_owner_cannot_delete_metadata_for_others(self, mock_volume): owner_context = self.user_context non_owner_context = self.other_user_context volume = self._create_fake_volume(owner_context, metadata={"k": "v"}) mock_volume.return_value = volume path = '/v3/%(project_id)s/volumes/%(volume_id)s/metadata/%(key)s' % { 'project_id': non_owner_context.project_id, 'volume_id': volume.id, 'key': 'k' } response = self._get_request_response(non_owner_context, path, 'DELETE') self.assertEqual(HTTPStatus.FORBIDDEN, response.status_int) @ddt.ddt class VolumesPolicyTest(base.BasePolicyTest): authorized_readers = [ 'legacy_admin', 'legacy_owner', 'system_admin', 'project_admin', 'project_member', 'project_reader', 'project_foo', ] unauthorized_readers = [ 'system_member', 'system_reader', 'system_foo', 'other_project_member', 'other_project_reader', ] authorized_members = [ 'legacy_admin', 'legacy_owner', 'system_admin', 'project_admin', 'project_member', 'project_reader', 'project_foo', ] unauthorized_members = [ 'system_member', 'system_reader', 'system_foo', 'other_project_member', 'other_project_reader', ] create_authorized_users = [ 'legacy_admin', 'legacy_owner', 'system_admin', 'project_admin', 'project_member', 'project_reader', 'project_foo', # The other_* users are allowed because we don't have any check # mechanism in the code to validate this, these are validated on # the WSGI layer 'other_project_member', 'other_project_reader', ] create_unauthorized_users = [ 'system_member', 'system_reader', 'system_foo', ] # Basic policy test is without enforcing scope (which cinder doesn't # yet support) and deprecated rules enabled. def setUp(self, enforce_scope=False, enforce_new_defaults=False, *args, **kwargs): super().setUp(enforce_scope, enforce_new_defaults, *args, **kwargs) self.controller = volumes.VolumeController(mock.MagicMock()) self.api_path = '/v3/%s/volumes' % (self.project_id) def _create_volume(self): vol_type = test_utils.create_volume_type(self.project_admin_context, name='fake_vol_type', testcase_instance=self) volume = test_utils.create_volume(self.project_member_context, volume_type_id=vol_type.id, testcase_instance=self) return volume @ddt.data(*base.all_users) def test_create_volume_policy(self, user_id): rule_name = volume_policies.CREATE_POLICY url = self.api_path req = fake_api.HTTPRequest.blank(url) req.method = 'POST' body = {"volume": {"size": 1}} unauthorized_exceptions = [] self.common_policy_check(user_id, self.create_authorized_users, self.create_unauthorized_users, unauthorized_exceptions, rule_name, self.controller.create, req, body=body) @ddt.data(*base.all_users) @mock.patch('cinder.api.v3.volumes.VolumeController._image_uuid_from_ref', return_value=fake_constants.IMAGE_ID) @mock.patch('cinder.api.v3.volumes.VolumeController._get_image_snapshot', return_value=None) @mock.patch('cinder.volume.flows.api.create_volume.' 'ExtractVolumeRequestTask._get_image_metadata', return_value=None) def test_create_volume_from_image_policy( self, user_id, mock_image_from_ref, mock_image_snap, mock_img_meta): rule_name = volume_policies.CREATE_FROM_IMAGE_POLICY url = self.api_path req = fake_api.HTTPRequest.blank(url) req.method = 'POST' body = {"volume": {"size": 1, "image_id": fake_constants.IMAGE_ID}} unauthorized_exceptions = [] self.common_policy_check(user_id, self.create_authorized_users, self.create_unauthorized_users, unauthorized_exceptions, rule_name, self.controller.create, req, body=body) @ddt.data(*base.all_users) def test_create_multiattach_volume_policy(self, user_id): vol_type = test_utils.create_volume_type( self.project_admin_context, name='multiattach_type', extra_specs={'multiattach': '<is> True'}) rule_name = volume_policies.MULTIATTACH_POLICY url = self.api_path req = fake_api.HTTPRequest.blank(url) req.method = 'POST' body = {"volume": {"size": 1, "volume_type": vol_type.id}} # Relax the CREATE_POLICY in order to get past that check. self.policy.set_rules({volume_policies.CREATE_POLICY: ""}, overwrite=False) unauthorized_exceptions = [] self.common_policy_check(user_id, self.create_authorized_users, self.create_unauthorized_users, unauthorized_exceptions, rule_name, self.controller.create, req, body=body) @ddt.data(*base.all_users) def test_get_volume_policy(self, user_id): volume = self._create_volume() rule_name = volume_policies.GET_POLICY url = '%s/%s' % (self.api_path, volume.id) req = fake_api.HTTPRequest.blank(url) unauthorized_exceptions = [ exception.VolumeNotFound, ] self.common_policy_check(user_id, self.authorized_readers, self.unauthorized_readers, unauthorized_exceptions, rule_name, self.controller.show, req, id=volume.id) @ddt.data(*base.all_users) def test_get_all_volumes_policy(self, user_id): self._create_volume() rule_name = volume_policies.GET_ALL_POLICY url = self.api_path req = fake_api.HTTPRequest.blank(url) # Generally, any logged in user can list all volumes. authorized_users = [user_id] unauthorized_users = [] # The exception is when deprecated rules are disabled, in which case # roles are enforced. Users without the 'reader' role should be # blocked. if self.enforce_new_defaults: context = self.create_context(user_id) if 'reader' not in context.roles: authorized_users = [] unauthorized_users = [user_id] response = self.common_policy_check(user_id, authorized_users, unauthorized_users, [], rule_name, self.controller.index, req) # For some users, even if they're authorized, the list of volumes # will be empty if they are not in the volume's project. empty_response_users = [ *self.unauthorized_readers, # legacy_admin and system_admin do not have a project_id, and # so the list of volumes returned will be empty. 'legacy_admin', 'system_admin', ] volumes = response['volumes'] if response else [] volume_count = 0 if user_id in empty_response_users else 1 self.assertEqual(volume_count, len(volumes)) @ddt.data(*base.all_users) @mock.patch('cinder.db.volume_encryption_metadata_get') def test_get_volume_encryption_meta_policy(self, user_id, mock_encrypt_meta): encryption_key_id = fake_constants.ENCRYPTION_KEY_ID mock_encrypt_meta.return_value = ( {'encryption_key_id': encryption_key_id}) controller = ( volume_encryption_metadata.VolumeEncryptionMetadataController()) volume = self._create_volume() rule_name = volume_policies.ENCRYPTION_METADATA_POLICY url = '%s/%s/encryption' % (self.api_path, volume.id) req = fake_api.HTTPRequest.blank(url) unauthorized_exceptions = [ exception.VolumeNotFound, ] resp = self.common_policy_check( user_id, self.authorized_readers, self.unauthorized_readers, unauthorized_exceptions, rule_name, controller.index, req, volume.id) if user_id in self.authorized_readers: self.assertEqual(encryption_key_id, resp['encryption_key_id']) @ddt.data(*base.all_users) def test_get_volume_tenant_attr_policy(self, user_id): controller = volume_tenant_attribute.VolumeTenantAttributeController() volume = self._create_volume() volume = volume.obj_to_primitive()['versioned_object.data'] rule_name = volume_policies.TENANT_ATTRIBUTE_POLICY url = '%s/%s' % (self.api_path, volume['id']) req = fake_api.HTTPRequest.blank(url) req.get_db_volume = mock.MagicMock() req.get_db_volume.return_value = volume resp_obj = mock.MagicMock(obj={'volume': volume}) unauthorized_exceptions = [ exception.VolumeNotFound, ] self.assertNotIn('os-vol-tenant-attr:tenant_id', volume.keys()) self.common_policy_check( user_id, self.authorized_readers, self.unauthorized_readers, unauthorized_exceptions, rule_name, controller.show, req, resp_obj, volume['id'], fatal=False) if user_id in self.authorized_readers: self.assertIn('os-vol-tenant-attr:tenant_id', volume.keys()) @ddt.data(*base.all_users) def test_update_volume_policy(self, user_id): volume = self._create_volume() rule_name = volume_policies.UPDATE_POLICY url = '%s/%s' % (self.api_path, volume.id) body = {"volume": {"name": "update_name"}} req = fake_api.HTTPRequest.blank(url) req.method = 'PUT' unauthorized_exceptions = [ exception.VolumeNotFound, ] self.common_policy_check( user_id, self.authorized_members, self.unauthorized_members, unauthorized_exceptions, rule_name, self.controller.update, req, id=volume.id, body=body) @ddt.data(*base.all_users) def test_delete_volume_policy(self, user_id): volume = self._create_volume() rule_name = volume_policies.DELETE_POLICY url = '%s/%s' % (self.api_path, volume.id) req = fake_api.HTTPRequest.blank(url) req.method = 'DELETE' unauthorized_exceptions = [ exception.VolumeNotFound, ] self.common_policy_check( user_id, self.authorized_members, self.unauthorized_members, unauthorized_exceptions, rule_name, self.controller.delete, req, id=volume.id) class VolumesPolicySecureRbacTest(VolumesPolicyTest): create_authorized_users = [ 'legacy_admin', 'system_admin', 'project_admin', 'project_member', 'other_project_member', ] create_unauthorized_users = [ 'legacy_owner', 'system_member', 'system_reader', 'system_foo', 'other_project_reader', 'project_foo', 'project_reader', ] authorized_readers = [ 'legacy_admin', 'system_admin', 'project_admin', 'project_member', 'project_reader', ] unauthorized_readers = [ 'legacy_owner', 'system_member', 'system_reader', 'system_foo', 'project_foo', 'other_project_member', 'other_project_reader', ] authorized_members = [ 'legacy_admin', 'system_admin', 'project_admin', 'project_member', ] unauthorized_members = [ 'legacy_owner', 'system_member', 'system_reader', 'system_foo', 'project_reader', 'project_foo', 'other_project_member', 'other_project_reader', ] def setUp(self, *args, **kwargs): # Test secure RBAC by disabling deprecated policy rules (scope # is still not enabled). super().setUp(enforce_scope=False, enforce_new_defaults=True, *args, **kwargs)

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335166caa2fb8bf7ef55ff8016ed6d28cfe4b088

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py

Python

testing/logging/test_formatter.py

christian-steinmeyer/pytest

5cc295e74b81ca7a106e5a096834043738f14dc5

[ "MIT" ]

4

2018-03-10T16:59:59.000Z

2019-12-17T09:16:09.000Z

testing/logging/test_formatter.py

christian-steinmeyer/pytest

5cc295e74b81ca7a106e5a096834043738f14dc5

[ "MIT" ]

71

2015-10-28T08:10:14.000Z

2021-12-06T03:02:07.000Z

testing/logging/test_formatter.py

christian-steinmeyer/pytest

5cc295e74b81ca7a106e5a096834043738f14dc5

[ "MIT" ]

2

2020-08-01T22:09:38.000Z

2020-10-13T08:17:24.000Z

import logging from typing import Any from _pytest._io import TerminalWriter from _pytest.logging import ColoredLevelFormatter def test_coloredlogformatter() -> None: logfmt = "%(filename)-25s %(lineno)4d %(levelname)-8s %(message)s" record = logging.LogRecord( name="dummy", level=logging.INFO, pathname="dummypath", lineno=10, msg="Test Message", args=(), exc_info=None, ) class ColorConfig: class option: pass tw = TerminalWriter() tw.hasmarkup = True formatter = ColoredLevelFormatter(tw, logfmt) output = formatter.format(record) assert output == ( "dummypath 10 \x1b[32mINFO \x1b[0m Test Message" ) tw.hasmarkup = False formatter = ColoredLevelFormatter(tw, logfmt) output = formatter.format(record) assert output == ("dummypath 10 INFO Test Message") def test_multiline_message() -> None: from _pytest.logging import PercentStyleMultiline logfmt = "%(filename)-25s %(lineno)4d %(levelname)-8s %(message)s" record: Any = logging.LogRecord( name="dummy", level=logging.INFO, pathname="dummypath", lineno=10, msg="Test Message line1\nline2", args=(), exc_info=None, ) # this is called by logging.Formatter.format record.message = record.getMessage() ai_on_style = PercentStyleMultiline(logfmt, True) output = ai_on_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\n" " line2" ) ai_off_style = PercentStyleMultiline(logfmt, False) output = ai_off_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\nline2" ) ai_none_style = PercentStyleMultiline(logfmt, None) output = ai_none_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\nline2" ) record.auto_indent = False output = ai_on_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\nline2" ) record.auto_indent = True output = ai_off_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\n" " line2" ) record.auto_indent = "False" output = ai_on_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\nline2" ) record.auto_indent = "True" output = ai_off_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\n" " line2" ) # bad string values default to False record.auto_indent = "junk" output = ai_off_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\nline2" ) # anything other than string or int will default to False record.auto_indent = dict() output = ai_off_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\nline2" ) record.auto_indent = "5" output = ai_off_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\n line2" ) record.auto_indent = 5 output = ai_off_style.format(record) assert output == ( "dummypath 10 INFO Test Message line1\n line2" ) def test_colored_short_level() -> None: logfmt = "%(levelname).1s %(message)s" record = logging.LogRecord( name="dummy", level=logging.INFO, pathname="dummypath", lineno=10, msg="Test Message", args=(), exc_info=None, ) class ColorConfig: class option: pass tw = TerminalWriter() tw.hasmarkup = True formatter = ColoredLevelFormatter(tw, logfmt) output = formatter.format(record) # the I (of INFO) is colored assert output == ("\x1b[32mI\x1b[0m Test Message")

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685bf7a01002d00376abfb0f9c41e4c0b30ff038

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py

Python

datasets/hscic/scrape.py

nhsengland/publish-o-matic

dc8f16cb83a2360989afa44d887e63b5cde6af29

[ "MIT" ]

null

datasets/hscic/scrape.py

nhsengland/publish-o-matic

dc8f16cb83a2360989afa44d887e63b5cde6af29

[ "MIT" ]

11

2015-03-02T16:30:20.000Z

2016-11-29T12:16:15.000Z

datasets/hscic/scrape.py

nhsengland/publish-o-matic

dc8f16cb83a2360989afa44d887e63b5cde6af29

[ "MIT" ]

2

2020-12-25T20:38:31.000Z

2021-04-11T07:35:01.000Z

from datasets.hscic.hscic_datasets import scrape as datasets_scrape from datasets.hscic.hscic_indicators import scrape as indicators_scrape def main(workspace): datasets_scrape(workspace) indicators_scrape(workspace)

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5

688059ffe96ee1e3cfd3aaf09375c53be6410286

50

py

Python

app/__init__.py

SLB974/GrandPyBot-dev

7a0268d4ffa58c37eed37253c6afb00874dbabe4

[ "MIT" ]

null

app/__init__.py

SLB974/GrandPyBot-dev

7a0268d4ffa58c37eed37253c6afb00874dbabe4

[ "MIT" ]

null

app/__init__.py

SLB974/GrandPyBot-dev

7a0268d4ffa58c37eed37253c6afb00874dbabe4

[ "MIT" ]

null

from flask import Flask from app.views import app

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1

0

1

0

5

d79c6838f09a05f79a094ede5cbcfc88762b1778

36

py

Python

pydeps/__main__.py

miketheman/pydeps

907a1a29cc0e04ad3698a812082775ccf39b6479

[ "BSD-2-Clause" ]

981

2015-07-08T15:55:30.000Z

2022-03-31T08:53:30.000Z

pydeps/__main__.py

miketheman/pydeps

907a1a29cc0e04ad3698a812082775ccf39b6479

[ "BSD-2-Clause" ]

129

2016-09-03T16:51:52.000Z

2022-03-19T23:07:50.000Z

pydeps/__main__.py

miketheman/pydeps

907a1a29cc0e04ad3698a812082775ccf39b6479

[ "BSD-2-Clause" ]

88

2015-03-24T03:25:54.000Z

2022-03-24T07:35:02.000Z

from .pydeps import pydeps pydeps()

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d7ac1e6f92f48c0869fd34f768c9769c6cff0aee

78

py

Python

tests/data/custom_loader2.py

cambiegroup/aizynthfinder

f5bafb2ac4749284571c05ae6df45b6f45cccd30

[ "MIT" ]

219

2020-06-15T08:04:53.000Z

2022-03-31T09:02:47.000Z

tests/data/custom_loader2.py

cambiegroup/aizynthfinder

f5bafb2ac4749284571c05ae6df45b6f45cccd30

[ "MIT" ]

56

2020-08-14T14:50:42.000Z

2022-03-22T12:49:06.000Z

tests/data/custom_loader2.py

cambiegroup/aizynthfinder

f5bafb2ac4749284571c05ae6df45b6f45cccd30

[ "MIT" ]

58

2020-06-15T13:36:42.000Z

2022-03-21T06:18:02.000Z

def extract_smiles(): return ["c1ccccc1", "Cc1ccccc1", "c1ccccc1", "CCO"]

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1

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null

0

1

0

1

0

5

d7d94e78e81c338291612ee9c829d5e728b8d936

68

py

Python

boxuegu/apps/courses/views.py

libin-c/bxg

c509a5b39bc3f3f34ad9d7fbfb61a63d2f67bc23

[ "MIT" ]

1

2019-06-13T10:08:25.000Z

boxuegu/apps/courses/views.py

libin-c/bxg

c509a5b39bc3f3f34ad9d7fbfb61a63d2f67bc23

[ "MIT" ]

null

boxuegu/apps/courses/views.py

libin-c/bxg

c509a5b39bc3f3f34ad9d7fbfb61a63d2f67bc23

[ "MIT" ]

null

from django.views import View class CourseListView(View): pass

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0.176471

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0

true

0.333333

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0

null

0

1

0

null

0

1

0

5

d7e53f75f37c8e40de012dfc26ba2d6bccb8b7ab

200

py

Python

practice/calculator.py

kristenpicard/python-practice

71e6b7e0af68b1eba5f57ad8c836fe250ab7d6db

[ "MIT" ]

null

practice/calculator.py

kristenpicard/python-practice

71e6b7e0af68b1eba5f57ad8c836fe250ab7d6db

[ "MIT" ]

null

practice/calculator.py

kristenpicard/python-practice

71e6b7e0af68b1eba5f57ad8c836fe250ab7d6db

[ "MIT" ]

null

class Calculator: def add(self,a,b): return a+b def subtract(self,a,b): return a-b def multiply(self,a,b): return a*b def divide(self,a,b): return a/b

18.181818

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null

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1

0

5

d7fc48fb5d168909d619b0248ed17c5cf0a539aa

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py

Python

adventofcode/2020/25/crack_key/__init__.py

bneradt/toy

982e80ec98f4e951f7275e5f22cb0197f8f86c08

[ "Apache-2.0" ]

null

adventofcode/2020/25/crack_key/__init__.py

bneradt/toy

982e80ec98f4e951f7275e5f22cb0197f8f86c08

[ "Apache-2.0" ]

null

adventofcode/2020/25/crack_key/__init__.py

bneradt/toy

982e80ec98f4e951f7275e5f22cb0197f8f86c08

[ "Apache-2.0" ]

null

from .crack_key import derive_loop_size, derive_encryption_key

31.5

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true

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0

null

0

1

0

1

0

1

0

5

cc213e43355eccd688ab41131dff02e635716ed2

209

py

Python

samples/python/13.core-bot/envs/chat_bot_02/Lib/site-packages/datatypes_date_time/timex_relative_convert.py

luzeunice/BotBuilder-Samples

b62be4e8863125a567902b736b7b74313d9d4f28

[ "MIT" ]

null

samples/python/13.core-bot/envs/chat_bot_02/Lib/site-packages/datatypes_date_time/timex_relative_convert.py

luzeunice/BotBuilder-Samples

b62be4e8863125a567902b736b7b74313d9d4f28

[ "MIT" ]

null

samples/python/13.core-bot/envs/chat_bot_02/Lib/site-packages/datatypes_date_time/timex_relative_convert.py

luzeunice/BotBuilder-Samples

b62be4e8863125a567902b736b7b74313d9d4f28

[ "MIT" ]

null

23.222222

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0.746411

23

209

6.608696

0.956522

0

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209

8

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26.125

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0.25

false

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null

0

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0

null

0

1

0

1

0

5

cc254320a120806976fb2027ee1ac70ba2ebda77

42

py

Python

GitSearch.py

inishchith/GithubTools

6b346d063bb727045407498d6710ee2680ad4d8f

[ "MIT" ]

1

2017-05-23T11:23:09.000Z

GitSearch.py

inishchith/GithubTools

6b346d063bb727045407498d6710ee2680ad4d8f

[ "MIT" ]

null

GitSearch.py

inishchith/GithubTools

6b346d063bb727045407498d6710ee2680ad4d8f

[ "MIT" ]

null

# Find file contents via various criteria.

42

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true

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0

1

0

null

0

1

0

5

04428cad6e41d07f787bb5f233146087def3d4cc

50

py

Python

__main__.py

wwakabobik/openweather_pws

bda08b550982b7e3d797a57c23ae97d4d4ececf7

[ "MIT" ]

null

__main__.py

wwakabobik/openweather_pws

bda08b550982b7e3d797a57c23ae97d4d4ececf7

[ "MIT" ]

null

__main__.py

wwakabobik/openweather_pws

bda08b550982b7e3d797a57c23ae97d4d4ececf7

[ "MIT" ]

null

from openweather_pws import Station, Measurements

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1

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5

0454da70bf56318261f39eb6d452f26d17c27244

430

py

Python

app/routes/__init__.py

Poketnans/capstone-q3

38d550a54ff41387534241df85eb8aa8c9b6ba7e

[ "MIT" ]

null

app/routes/__init__.py

Poketnans/capstone-q3

38d550a54ff41387534241df85eb8aa8c9b6ba7e

[ "MIT" ]

4

2022-03-03T12:47:02.000Z

2022-03-08T18:10:34.000Z

app/routes/__init__.py

Poketnans/capstone-q3

38d550a54ff41387534241df85eb8aa8c9b6ba7e

[ "MIT" ]

1

2022-03-17T14:21:30.000Z

from flask import Flask from .storage_blueprint import bp_storage from .tattooists_blueprint import bp_tattooists from .tattoos_blueprint import bp_tattoos from .clients_blueprint import bp_clients def init_app(app: Flask) -> None: ''' Registra as blueprints ''' app.register_blueprint(bp_storage) app.register_blueprint(bp_tattooists) app.register_blueprint(bp_tattoos) app.register_blueprint(bp_clients)

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null

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5

04562a0ab45671a8901e0ae58163340c6b6aee32

160

py

Python

oaff/app/oaff/app/data/sources/common/provider.py

JBurkinshaw/ogc-api-fast-features

4fc6ba3cc4df1600450fe4c9f35320b00c69f158

[ "MIT" ]

19

2021-07-06T16:35:27.000Z

2022-02-08T04:59:21.000Z

oaff/app/oaff/app/data/sources/common/provider.py

JBurkinshaw/ogc-api-fast-features

4fc6ba3cc4df1600450fe4c9f35320b00c69f158

[ "MIT" ]

30

2021-07-14T04:13:11.000Z

2021-11-22T20:45:15.000Z

oaff/app/oaff/app/data/sources/common/provider.py

JBurkinshaw/ogc-api-fast-features

4fc6ba3cc4df1600450fe4c9f35320b00c69f158

[ "MIT" ]

6

2021-07-06T16:35:28.000Z

2021-09-17T19:24:49.000Z

from typing import List, Optional from pydantic import BaseModel class Provider(BaseModel): url: str name: str roles: Optional[List[str]] = None

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1

0

5

f0e928a38ffedd9b5a5fdacb57e277620b6e15be

339

py

Python

headlineVsHeadline/polls/models.py

bacarpenter/headline-vs-headline

2dc59e75fadbf7d5bb0a5b15a0bf41784712a290

[ "MIT" ]

null

headlineVsHeadline/polls/models.py

bacarpenter/headline-vs-headline

2dc59e75fadbf7d5bb0a5b15a0bf41784712a290

[ "MIT" ]

1

2020-12-28T01:28:19.000Z

2020-12-28T01:56:47.000Z

headlineVsHeadline/polls/models.py

bacarpenter/headline-vs-headline

2dc59e75fadbf7d5bb0a5b15a0bf41784712a290

[ "MIT" ]

null

from django.db import models # Create your models here. class HeadlineListing(models.Model): headline_text = models.CharField(max_length=500) accessed = models.DateTimeField() source_url = models.CharField(max_length=200) author = models.CharField(default="", max_length=200) source = models.CharField(max_length=200)

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f0f04e94a81beb88cb190deaab3f4d7bf4be0477

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py

Python

pyaz/mariadb/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/mariadb/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/mariadb/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

''' Manage Azure Database for MariaDB servers. ''' from .. pyaz_utils import _call_az from . import db, server, server_logs

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true

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null

0

1

0

1

0

1

0

5

0b0149c561d9b693e298cce2051643d984729630

154

py

Python

Python/8 kyu/Grasshopper - Terminal Game Move Function/solution.py

Hsins/CodeWars

7e7b912fdd0647c0af381d8b566408e383ea5df8

[ "MIT" ]

1

2020-01-09T21:47:56.000Z

Python/8 kyu/Grasshopper - Terminal Game Move Function/solution.py

Hsins/CodeWars

7e7b912fdd0647c0af381d8b566408e383ea5df8

[ "MIT" ]

1

2020-01-20T12:39:03.000Z

Python/8 kyu/Grasshopper - Terminal Game Move Function/solution.py

Hsins/CodeWars

7e7b912fdd0647c0af381d8b566408e383ea5df8

[ "MIT" ]

null

# [8 kyu] Grasshopper - Terminal Game Move Function # # Author: Hsins # Date: 2019/12/20 def move(position, roll): return position + 2 * roll

17.111111

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154

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null

0

1

0

1

0

5

0b115c280b92cd1887912e7b5b880c8d693ab762

987

py

Python

final_project/machinetranslation/tests.py

eduardomecchia/xzceb-flask_eng_fr

fa2da58ecabd43385a77be42f1eb6cf5401d6757

[ "Apache-2.0" ]

null

final_project/machinetranslation/tests.py

eduardomecchia/xzceb-flask_eng_fr

fa2da58ecabd43385a77be42f1eb6cf5401d6757

[ "Apache-2.0" ]

null

final_project/machinetranslation/tests.py

eduardomecchia/xzceb-flask_eng_fr

fa2da58ecabd43385a77be42f1eb6cf5401d6757

[ "Apache-2.0" ]

null

import unittest import translator class TestEnglishToFrench(unittest.TestCase): def test_love(self): self.assertEqual(translator.english_to_french('Love'), 'Amour') def test_sun(self): self.assertEqual(translator.english_to_french('Sun'), 'Soleil') def test_null(self): self.assertRaises(ValueError, translator.english_to_french, None) def test_hello(self): self.assertEqual(translator.english_to_french('Hello'), 'Bonjour') class TestFrenchToEnglish(unittest.TestCase): def test_love(self): self.assertEqual(translator.french_to_english('Amour'), 'Love') def test_sun(self): self.assertEqual(translator.french_to_english('Soleil'), 'Sun') def test_null(self): self.assertRaises(ValueError, translator.french_to_english, None) def test_hello(self): self.assertEqual(translator.french_to_english('Bonjour'), 'Hello') if __name__ == '__main__': unittest.main()

31.83871

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987

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null

0

1

0

1

0

5

0b14ffda334fedd5c264042439a74b0107e9cb74

766

py

Python

code/chapter_04/listing_04_13.py

guinslym/python_earth_science_book

f4dd0115dbbce140c6713989f630a71238daa72c

[ "MIT" ]

80

2021-04-19T10:03:57.000Z

2022-03-30T15:34:47.000Z

code/chapter_04/listing_04_13.py

guinslym/python_earth_science_book

f4dd0115dbbce140c6713989f630a71238daa72c

[ "MIT" ]

null

code/chapter_04/listing_04_13.py

guinslym/python_earth_science_book

f4dd0115dbbce140c6713989f630a71238daa72c

[ "MIT" ]

23

2021-04-25T03:50:07.000Z

2022-03-22T03:06:19.000Z

# Go to new line using \n print('-------------------------------------------------------') print("My name is\nMaurizio Petrelli") # Inserting characters using octal values print('-------------------------------------------------------') print("\100 \136 \137 \077 \176") # Inserting characters using hex values print('-------------------------------------------------------') print("\x23 \x24 \x25 \x26 \x2A") print('-------------------------------------------------------') '''Output: ------------------------------------------------------- My name is Maurizio Petrelli ------------------------------------------------------- @ ^ _ ? ~ ------------------------------------------------------- # $ % & * ------------------------------------------------------- '''

31.916667

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null

0

1

0

1

0

5

0b1c55f58b7ea7cb439e436ac338143526ad5ff4

2,383

py

Python

pwndbg/color/__init__.py

R2S4X/pwndbg

351d479f08a43c71d30a8d8c098b7657bbb9ef0e

[ "MIT" ]

287

2015-03-23T17:22:49.000Z

2022-01-06T19:57:21.000Z

pwndbg/color/__init__.py

R2S4X/pwndbg

351d479f08a43c71d30a8d8c098b7657bbb9ef0e

[ "MIT" ]

28

2015-04-13T19:59:44.000Z

2016-05-27T19:09:55.000Z

pwndbg/color/__init__.py

R2S4X/pwndbg

351d479f08a43c71d30a8d8c098b7657bbb9ef0e

[ "MIT" ]

42

2015-04-17T18:13:00.000Z

2020-07-23T08:37:51.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import re import pwndbg.memoize NORMAL = "\x1b[0m" BLACK = "\x1b[30m" RED = "\x1b[31m" GREEN = "\x1b[32m" YELLOW = "\x1b[33m" BLUE = "\x1b[34m" PURPLE = "\x1b[35m" CYAN = "\x1b[36m" LIGHT_GREY = LIGHT_GRAY = "\x1b[37m" FOREGROUND = "\x1b[39m" GREY = GRAY = "\x1b[90m" LIGHT_RED = "\x1b[91m" LIGHT_GREEN = "\x1b[92m" LIGHT_YELLOW = "\x1b[93m" LIGHT_BLUE = "\x1b[94m" LIGHT_PURPLE = "\x1b[95m" LIGHT_CYAN = "\x1b[96m" WHITE = "\x1b[97m" BOLD = "\x1b[1m" UNDERLINE = "\x1b[4m" def none(x): return str(x) def normal(x): return colorize(x, NORMAL) def black(x): return colorize(x, BLACK) def red(x): return colorize(x, RED) def green(x): return colorize(x, GREEN) def yellow(x): return colorize(x, YELLOW) def blue(x): return colorize(x, BLUE) def purple(x): return colorize(x, PURPLE) def cyan(x): return colorize(x, CYAN) def light_gray(x): return colorize(x, LIGHT_GRAY) def foreground(x): return colorize(x, FOREGROUND) def gray(x): return colorize(x, GRAY) def light_red(x): return colorize(x, LIGHT_RED) def light_green(x): return colorize(x, LIGHT_GREEN) def light_yellow(x): return colorize(x, LIGHT_YELLOW) def light_blue(x): return colorize(x, LIGHT_BLUE) def light_purple(x): return colorize(x, LIGHT_PURPLE) def light_cyan(x): return colorize(x, LIGHT_CYAN) def white(x): return colorize(x, WHITE) def bold(x): return colorize(x, BOLD) def underline(x): return colorize(x, UNDERLINE) def colorize(x, color): return color + terminateWith(str(x), color) + NORMAL @pwndbg.memoize.reset_on_stop def generateColorFunctionInner(old, new): def wrapper(text): return new(old(text)) return wrapper def generateColorFunction(config): function = lambda x: x for color in str(config).split(','): function = generateColorFunctionInner(function, globals()[color.lower().replace('-', '_')]) return function def strip(x): return re.sub('\x1b\\[\d+m', '', x) def terminateWith(x, color): return re.sub('\x1b\\[0m', NORMAL + color, x) def ljust_colored(x, length, char=' '): return x + (length - len(strip(x))) * char

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4.449568

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null

0

1

0

1

0

5

9bc97edd815322dc6a747c2ab760525b0de68666

1,057

py

Python

main(terminal).py

fcondo/GUI-sudoku-solver

6d5af3790d1e1c13402bdc6fa6f8ae4ed79121d2

[ "Apache-2.0" ]

null

main(terminal).py

fcondo/GUI-sudoku-solver

6d5af3790d1e1c13402bdc6fa6f8ae4ed79121d2

[ "Apache-2.0" ]

null

main(terminal).py

fcondo/GUI-sudoku-solver

6d5af3790d1e1c13402bdc6fa6f8ae4ed79121d2

[ "Apache-2.0" ]

null

""" main(terminal).py Author: Fabio Condomitti """ from solver import print_grid, solve def main(): sudoku_grid = [ [0,8,0, 0,0,0, 2,0,0], [0,0,0, 0,8,4, 0,9,0], [0,0,6, 3,2,0, 0,1,0], [0,9,7, 0,0,0, 0,8,0], [8,0,0, 9,0,3, 0,0,2], [0,1,0, 0,0,0, 9,5,0], [0,7,0, 0,4,5, 8,0,0], [0,3,0, 7,1,0, 0,0,0], [0,0,8, 0,0,0, 0,4,0] ] sudoku_grid = [ [2,5,0, 0,9,7, 3,0,6], [0,0,7, 3,0,0, 1,0,2], [0,3,1, 4,0,5, 8,0,0], [0,6,0, 8,0,0, 0,2,7], [0,2,4, 0,0,1, 0,3,8], [0,8,0, 9,0,0, 6,1,0], [3,0,5, 0,0,4, 0,0,1], [0,0,6, 0,0,9, 7,0,0], [0,7,0, 5,1,0, 4,0,3] ] print_grid(sudoku_grid) print('....................................') copy = sudoku_grid solve(copy, 9) print_grid(copy) if __name__ == "__main__": main()

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null

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5

9bf44b2d04766a196cb4f85df49ddd09eb5801af

65

py

Python

sql/__init__.py

realDragonium/small-flask-project

5688210418997dbdf5b38e0ce77750eab7eefd3a

[ "Unlicense" ]

null

sql/__init__.py

realDragonium/small-flask-project

5688210418997dbdf5b38e0ce77750eab7eefd3a

[ "Unlicense" ]

null

sql/__init__.py

realDragonium/small-flask-project

5688210418997dbdf5b38e0ce77750eab7eefd3a

[ "Unlicense" ]

null

from .sql_models import SQLQuiz, SQLQuestion, SQLAnswerOption

13

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1

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62

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0.928571

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true

0

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1

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0

1

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1

0

1

0

5

9bf5111951f211230177602f66faaa2faeecb8c9

65

py

Python

tyled/tileset/orthogonal/__init__.py

kfields/tyled

65f57c3f060c369d1e3875d94363a03a11fe7c3e

[ "MIT" ]

1

2020-04-14T09:25:25.000Z

tyled/tileset/orthogonal/__init__.py

kfields/tyled

65f57c3f060c369d1e3875d94363a03a11fe7c3e

[ "MIT" ]

2

2021-09-08T01:52:49.000Z

2022-01-13T02:32:08.000Z

tyled/tileset/orthogonal/__init__.py

kfields/tyled

65f57c3f060c369d1e3875d94363a03a11fe7c3e

[ "MIT" ]

null

from tyled.tileset.orthogonal.orthogonal import OrthogonalTileset

65

0.907692

7

65

8.428571

0.857143

0

0.046154

65

1

65

0.951613

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true

0

1

0

1

0

1

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null

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1

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null

0

1

0

1

0

1

0

5

9bf527aac7e8ff43497cfbcad130e15221237397

107

py

Python

run_length_encoding.py

wolfd/jpeg-svg

42370757ec98642b57486c7d2fd3fae7df9bc271

[ "MIT" ]

null

run_length_encoding.py

wolfd/jpeg-svg

42370757ec98642b57486c7d2fd3fae7df9bc271

[ "MIT" ]

null

run_length_encoding.py

wolfd/jpeg-svg

42370757ec98642b57486c7d2fd3fae7df9bc271

[ "MIT" ]

null

import typing as T import numpy as np def decode_run_length(compressed: T.Iterable[int]): compressed

15.285714

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17

107

4.705882

0.764706

0

0.168224

107

6

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17.833333

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0.25

false

0

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null

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1

0

1

0

1

0

5

502575823cd86b4b2ecb13d681cb93aec7e91dfa

202

py

Python

main/admin.py

ericrobskyhuntley/vialab.mit.edu

1318d03b8eeb106c1662052e1caa53290e206ae7

[ "MIT" ]

null

main/admin.py

ericrobskyhuntley/vialab.mit.edu

1318d03b8eeb106c1662052e1caa53290e206ae7

[ "MIT" ]

null

main/admin.py

ericrobskyhuntley/vialab.mit.edu

1318d03b8eeb106c1662052e1caa53290e206ae7

[ "MIT" ]

null

from django.contrib import admin from simple_history.admin import SimpleHistoryAdmin from .models import MainMetadata # Register your models here. admin.site.register(MainMetadata, SimpleHistoryAdmin)

28.857143

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202

7

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true

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5

ac8dbd9e323eeca0d685d4a4900b4bd4b422d5be

11,396

py

Python

Thirdparty/libcurl/build.py

reven86/dava.engine

ca47540c8694668f79774669b67d874a30188c20

[ "BSD-3-Clause" ]

5

2020-02-11T12:04:17.000Z

2022-01-30T10:18:29.000Z

Thirdparty/libcurl/build.py

reven86/dava.engine

ca47540c8694668f79774669b67d874a30188c20

[ "BSD-3-Clause" ]

null

Thirdparty/libcurl/build.py

reven86/dava.engine

ca47540c8694668f79774669b67d874a30188c20

[ "BSD-3-Clause" ]

4

2019-11-28T19:24:34.000Z

2021-08-24T19:12:50.000Z

import os import shutil import build_utils def get_supported_targets(platform): if platform == 'win32': return ['win32', 'win10'] elif platform == 'darwin': return ['macos', 'ios', 'android'] elif platform == 'linux': return ['android', 'linux'] else: return [] def get_dependencies_for_target(target): if target == 'android': return ['openssl'] else: return [] def build_for_target(target, working_directory_path, root_project_path): if target == 'win32': _build_win32(working_directory_path, root_project_path) elif target == 'win10': _build_win10(working_directory_path, root_project_path) elif target == 'macos': _build_macos(working_directory_path, root_project_path) elif target == 'ios': _build_ios(working_directory_path, root_project_path) elif target == 'android': _build_android(working_directory_path, root_project_path) elif target == 'linux': _build_linux(working_directory_path, root_project_path) def get_download_info(): return {'macos_and_ios': 'maintained by curl-ios-build-scripts (bundled)', 'others': 'https://curl.haxx.se/download/curl-7.50.3.tar.gz'} def _download_and_extract(working_directory_path): source_folder_path = os.path.join(working_directory_path, 'libcurl_source') url = get_download_info()['others'] build_utils.download_and_extract( url, working_directory_path, source_folder_path, build_utils.get_url_file_name_no_ext(url)) return source_folder_path @build_utils.run_once def _patch_sources(source_folder_path, working_directory_path): # Apply fixes build_utils.apply_patch( os.path.abspath('patch.diff'), working_directory_path) def _build_win32(working_directory_path, root_project_path): source_folder_path = _download_and_extract(working_directory_path) vc12_solution_file_path = os.path.join( source_folder_path, 'projects/Windows/VC12/curl-all.sln') build_utils.build_vs( vc12_solution_file_path, 'LIB Debug - DLL Windows SSPI', 'Win32', 'libcurl') build_utils.build_vs( vc12_solution_file_path, 'LIB Release - DLL Windows SSPI', 'Win32', 'libcurl') build_utils.build_vs( vc12_solution_file_path, 'LIB Debug - DLL Windows SSPI', 'x64', 'libcurl') build_utils.build_vs( vc12_solution_file_path, 'LIB Release - DLL Windows SSPI', 'x64', 'libcurl') libs_win_root = os.path.join(root_project_path, 'Libs/lib_CMake/win') shutil.copyfile( os.path.join( source_folder_path, 'build/Win32/VC12/LIB Debug - DLL Windows SSPI/libcurld.lib'), os.path.join(libs_win_root, 'x86/Debug/libcurl.lib')) shutil.copyfile( os.path.join( source_folder_path, 'build/Win32/VC12/LIB Release - DLL Windows SSPI/libcurl.lib'), os.path.join(libs_win_root, 'x86/Release/libcurl.lib')) shutil.copyfile( os.path.join( source_folder_path, 'build/Win64/VC12/LIB Debug - DLL Windows SSPI/libcurld.lib'), os.path.join(libs_win_root, 'x64/Debug/libcurl_a_debug.lib')) shutil.copyfile( os.path.join( source_folder_path, 'build/Win64/VC12/LIB Release - DLL Windows SSPI/libcurl.lib'), os.path.join(libs_win_root, 'x64/Release/libcurl_a.lib')) _copy_headers(source_folder_path, root_project_path, 'Others') def _build_win10(working_directory_path, root_project_path): source_folder_path = _download_and_extract(working_directory_path) _patch_sources(source_folder_path, working_directory_path) vc14_solution_folder_path = os.path.join( source_folder_path, 'projects/Windows/VC14') vc14_solution_file_path = os.path.join( vc14_solution_folder_path, 'curl-all.sln') build_utils.build_vs( vc14_solution_file_path, 'LIB Debug - DLL Windows SSPI', 'Win32', 'libcurl') build_utils.build_vs( vc14_solution_file_path, 'LIB Release - DLL Windows SSPI', 'Win32', 'libcurl') build_utils.build_vs( vc14_solution_file_path, 'LIB Debug - DLL Windows SSPI', 'x64', 'libcurl') build_utils.build_vs( vc14_solution_file_path, 'LIB Release - DLL Windows SSPI', 'x64', 'libcurl') build_utils.build_vs( vc14_solution_file_path, 'LIB Debug - DLL Windows SSPI', 'ARM', 'libcurl') build_utils.build_vs( vc14_solution_file_path, 'LIB Release - DLL Windows SSPI', 'ARM', 'libcurl') shutil.copyfile( os.path.join( source_folder_path, 'build/Win32/VC14/LIB Debug - DLL Windows SSPI/libcurld.lib'), os.path.join( root_project_path, 'Libs/lib_CMake/win10/Win32/Debug/libcurl.lib')) shutil.copyfile( os.path.join( source_folder_path, 'build/Win32/VC14/LIB Release - DLL Windows SSPI/libcurl.lib'), os.path.join( root_project_path, 'Libs/lib_CMake/win10/Win32/Release/libcurl.lib')) shutil.copyfile( os.path.join( source_folder_path, 'build/Win64/VC14/LIB Debug - DLL Windows SSPI/libcurld.lib'), os.path.join( root_project_path, 'Libs/lib_CMake/win10/x64/Debug/libcurl.lib')) shutil.copyfile( os.path.join( source_folder_path, 'build/Win64/VC14/LIB Release - DLL Windows SSPI/libcurl.lib'), os.path.join( root_project_path, 'Libs/lib_CMake/win10/x64/Release/libcurl.lib')) # ARM outptu folder isn't specifically set by solution, so it's a default one shutil.copyfile( os.path.join( vc14_solution_folder_path, 'ARM/LIB Debug - DLL Windows SSPI/libcurld.lib'), os.path.join( root_project_path, 'Libs/lib_CMake/win10/arm/Debug/libcurl.lib')) shutil.copyfile( os.path.join( vc14_solution_folder_path, 'ARM/LIB Release - DLL Windows SSPI/libcurl.lib'), os.path.join( root_project_path, 'Libs/lib_CMake/win10/arm/Release/libcurl.lib')) _copy_headers(source_folder_path, root_project_path, 'Others') def _build_macos(working_directory_path, root_project_path): build_curl_run_dir = os.path.join(working_directory_path, 'gen/build_osx') if not os.path.exists(build_curl_run_dir): os.makedirs(build_curl_run_dir) build_curl_args = [ './build_curl', '--arch', 'x86_64', '--run-dir', build_curl_run_dir] if (build_utils.verbose): build_curl_args.append('--verbose') build_utils.run_process( build_curl_args, process_cwd='curl-ios-build-scripts-master') output_path = os.path.join(build_curl_run_dir, 'curl/osx/lib/libcurl.a') shutil.copyfile( output_path, os.path.join( root_project_path, os.path.join('Libs/lib_CMake/mac/libcurl_macos.a'))) include_path = os.path.join( root_project_path, os.path.join('Libs/include/curl/iOS_MacOS')) build_utils.copy_files( os.path.join(build_curl_run_dir, 'curl/osx/include'), include_path, '*.h') def _build_ios(working_directory_path, root_project_path): build_curl_run_dir = os.path.join(working_directory_path, 'gen/build_ios') if not os.path.exists(build_curl_run_dir): os.makedirs(build_curl_run_dir) build_curl_args = [ './build_curl', '--arch', 'armv7,armv7s,arm64', '--run-dir', build_curl_run_dir] if (build_utils.verbose): build_curl_args.append('--verbose') build_utils.run_process( build_curl_args, process_cwd='curl-ios-build-scripts-master') output_path = os.path.join( build_curl_run_dir, 'curl/ios-appstore/lib/libcurl.a') shutil.copyfile( output_path, os.path.join( root_project_path, os.path.join('Libs/lib_CMake/ios/libcurl_ios.a'))) include_path = os.path.join( root_project_path, os.path.join('Libs/include/curl/iOS_MacOS')) build_utils.copy_files( os.path.join(build_curl_run_dir, 'curl/ios-appstore/include'), include_path, '*.h') def _build_android(working_directory_path, root_project_path): source_folder_path = _download_and_extract(working_directory_path) env = os.environ.copy() original_path_var = env["PATH"] # ARM toolchain_path_arm = os.path.join( working_directory_path, 'gen/ndk_toolchain_arm') build_utils.android_ndk_make_toolchain( root_project_path, 'arm', 'android-14', 'darwin-x86_64', toolchain_path_arm) env['PATH'] = '{}:{}'.format( os.path.join(toolchain_path_arm, 'bin'), original_path_var) install_dir_arm = os.path.join(working_directory_path, 'gen/install_arm') configure_args = [ '--host=arm-linux-androideabi', '--disable-shared', '--with-ssl=' + os.path.abspath( os.path.join( working_directory_path, '../openssl/gen/install_arm/'))] build_utils.build_with_autotools( source_folder_path, configure_args, install_dir_arm, env) # x86 toolchain_path_x86 = os.path.join( working_directory_path, 'gen/ndk_toolchain_x86') build_utils.android_ndk_make_toolchain( root_project_path, 'x86', 'android-14', 'darwin-x86_64', toolchain_path_x86) env['PATH'] = '{}:{}'.format( os.path.join(toolchain_path_x86, 'bin'), original_path_var) install_dir_arm = os.path.join(working_directory_path, 'gen/install_x86') configure_args = [ '--host=i686-linux-android', '--disable-shared', '--with-ssl=' + os.path.abspath( os.path.join( working_directory_path, '../openssl/gen/install_x86/'))] build_utils.build_with_autotools( source_folder_path, configure_args, install_dir_arm, env) _copy_headers(source_folder_path, root_project_path, 'Others') def _build_linux(working_directory_path, root_project_path): source_folder_path = _download_and_extract(working_directory_path) env = build_utils.get_autotools_linux_env() install_dir = os.path.join(working_directory_path, 'gen/install_linux') openssl_install_dir = os.path.abspath(os.path.join(working_directory_path, '../openssl/gen/install_linux/')) configure_args = [ '--disable-shared', '--with-ssl=' + openssl_install_dir] build_utils.build_with_autotools( source_folder_path, configure_args, install_dir, env) shutil.copyfile(os.path.join(install_dir, 'lib/libcurl.a'), os.path.join(root_project_path, 'Libs/lib_CMake/linux/libcurl.a')) _copy_headers(source_folder_path, root_project_path, 'Others') def _copy_headers(source_folder_path, root_project_path, target_folder): include_path = os.path.join( root_project_path, os.path.join('Libs/include/curl', target_folder)) build_utils.copy_files( os.path.join(source_folder_path, 'include/curl'), include_path, '*.h')

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112

0.660495

1,469

11,396

4.773315

0.097345

0.051341

0.077011

0.048774

0.828009

0.816743

0.782088

0.761124

0.668711

0.617941

0

0.019597

0.225342

11,396

338

113

33.715976

0.774694

0.008336

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0.003676

0.223708

0.079763

0

1

0.047794

false

0

0.011029

0.003676

0.088235

0

null

0

1

0

1

0

null

0

5

aca742d4a6a7d5b4d70457cb7408186ab91efbca

117

py

Python

my_app/admin.py

gh-8/FullSend-List

52544d1413b413eb9f646fb38613ca9865e5a88b

[ "MIT" ]

1

2020-08-06T06:32:32.000Z

book_app/admin.py

Dhrutiman/my_book

412200f185cd760f3c3c182cf61321f05f59d920

[ "MIT" ]

4

2020-06-05T21:40:29.000Z

2021-06-02T00:54:34.000Z

book_app/admin.py

Dhrutiman/my_book

412200f185cd760f3c3c182cf61321f05f59d920

[ "MIT" ]

null

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

23.4

32

0.811966

17

117

5.588235

0.647059

0

0.119658

117

5

33

23.4

0.92233

0.222222

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

acb6313fbce86ba3db7156bb75d62a0032b83dff

38

py

Python

04/py/q2.py

RussellDash332/practice-makes-perfect

917822b461550a2e3679351e467362f95d9e428d

[ "MIT" ]

2

2021-11-18T06:22:09.000Z

2021-12-25T09:52:57.000Z

04/py/q2.py

RussellDash332/practice-makes-perfect

917822b461550a2e3679351e467362f95d9e428d

[ "MIT" ]

2

2021-11-17T16:28:00.000Z

2021-12-01T09:59:40.000Z

04/py/q2.py

RussellDash332/practice-makes-perfect

917822b461550a2e3679351e467362f95d9e428d

[ "MIT" ]

null

print((lambda x: lambda y: 2*x)(3)(4))

38

0.605263

9

38

2.555556

0.777778

0

0.088235

0.105263

38

1

38

0.588235

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

acc55edad5b04c2e0b24f12c37f946370c522b36

62

py

Python

studentData.py

seanmacb/COMP-115-Exercises

fbe7e5b158f2db785b886b6c600f1a8beb19ab1f

[ "MIT" ]

null

studentData.py

seanmacb/COMP-115-Exercises

fbe7e5b158f2db785b886b6c600f1a8beb19ab1f

[ "MIT" ]

null

studentData.py

seanmacb/COMP-115-Exercises

fbe7e5b158f2db785b886b6c600f1a8beb19ab1f

[ "MIT" ]

null

Schmoe Joe 12345 90 91 94 87 89 Doe Jane 74836 91 99 82 81 100

31

0.758065

16

62

2.9375

0.9375

0

0.659574

0.241935

62

2

32

31

0.340426

0

null

0

null

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

acd027d5fe8415bf29567d076248cd34dc5cdc41

94

py

Python

tests/basic/tuple.py

MoonStarCZW/py2rb

89b247717d33d780fbf143e1583bfe9252984da4

[ "MIT" ]

null

tests/basic/tuple.py

MoonStarCZW/py2rb

89b247717d33d780fbf143e1583bfe9252984da4

[ "MIT" ]

null

tests/basic/tuple.py

MoonStarCZW/py2rb

89b247717d33d780fbf143e1583bfe9252984da4

[ "MIT" ]

null

tup = ('a','b',1,2,3) print(tup[0]) print(tup[1]) print(tup[2]) print(tup[3]) print(tup[4])

10.444444

21

0.56383

21

94

2.52381

0.428571

0.754717

0.339623

0

0.095238

0.106383

94

8

22

11.75

0.535714

0

0.021505

0

1

0

false

0

0.833333

1

0

null

1

0

1

0

null

0

1

0

5

acd101863dd3fde86f97b4f8931de856caab8a8b

101

py

Python

frameworks/Python/aiohttp/app/gunicorn.py

xsoheilalizadeh/FrameworkBenchmarks

855527008f7488e4fd508d1e72dfa9953874a2c6

[ "BSD-3-Clause" ]

5

2015-11-05T12:57:32.000Z

2021-02-24T05:03:05.000Z

frameworks/Python/aiohttp/app/gunicorn.py

xsoheilalizadeh/FrameworkBenchmarks

855527008f7488e4fd508d1e72dfa9953874a2c6

[ "BSD-3-Clause" ]

122

2021-04-16T02:04:24.000Z

2022-01-13T20:17:26.000Z

frameworks/Python/aiohttp/app/gunicorn.py

xsoheilalizadeh/FrameworkBenchmarks

855527008f7488e4fd508d1e72dfa9953874a2c6

[ "BSD-3-Clause" ]

2

2018-03-22T00:37:28.000Z

2018-03-22T00:56:57.000Z

import asyncio from .main import create_app loop = asyncio.get_event_loop() app = create_app(loop)

14.428571

31

0.782178

16

101

4.6875

0.5625

0.24

0.346667

0

0.138614

101

6

32

16.833333

0.862069

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

4a1d8a246738fe7d87ca8aa627f3e6f93ad3cc07

3,561

py

Python

tests/amqp/test_rpc_client.py

OpenMatchmaking/sage-utils-python

348394bf9cd3adb96fe3915d1d4d99daa46ab437

[ "BSD-3-Clause" ]

null

tests/amqp/test_rpc_client.py

OpenMatchmaking/sage-utils-python

348394bf9cd3adb96fe3915d1d4d99daa46ab437

[ "BSD-3-Clause" ]

2

2018-04-07T23:24:19.000Z

2018-05-25T08:31:31.000Z

tests/amqp/test_rpc_client.py

OpenMatchmaking/sage-utils-python

348394bf9cd3adb96fe3915d1d4d99daa46ab437

[ "BSD-3-Clause" ]

null

import pytest from sage_utils.amqp.clients import RpcAmqpClient from sage_utils.amqp.extension import AmqpExtension from sage_utils.constants import VALIDATION_ERROR from sage_utils.wrappers import Response from tests.fixtures import Application, FakeConfig, FakeRegisterMicroserviceWorker REQUEST_QUEUE = FakeRegisterMicroserviceWorker.QUEUE_NAME REQUEST_EXCHANGE = FakeRegisterMicroserviceWorker.REQUEST_EXCHANGE_NAME RESPONSE_EXCHANGE_NAME = FakeRegisterMicroserviceWorker.RESPONSE_EXCHANGE_NAME VALIDATION_ERROR_DECR = FakeRegisterMicroserviceWorker.ERROR_DESCRIPTION @pytest.mark.asyncio async def test_rpc_amqp_client_returns_ok(event_loop): app = Application(config=FakeConfig(), loop=event_loop) register_worker = FakeRegisterMicroserviceWorker(app) extension = AmqpExtension(app) extension.register_worker(register_worker) await extension.init(event_loop) client = RpcAmqpClient( app=app, routing_key=REQUEST_QUEUE, request_exchange=REQUEST_EXCHANGE, response_queue='', response_exchange=RESPONSE_EXCHANGE_NAME ) response = await client.send(payload={'name': 'microservice', 'version': '1.0.0'}) assert Response.CONTENT_FIELD_NAME in response.keys() assert response[Response.CONTENT_FIELD_NAME] == 'OK' assert Response.EVENT_FIELD_NAME in response.keys() assert response[Response.EVENT_FIELD_NAME] is None await extension.deinit(event_loop) @pytest.mark.asyncio async def test_rpc_amqp_client_returns_ok_with_custom_event_loop(event_loop): app = Application(config=FakeConfig(), loop=event_loop) register_worker = FakeRegisterMicroserviceWorker(app) extension = AmqpExtension(app) extension.register_worker(register_worker) await extension.init(event_loop) client = RpcAmqpClient( app=app, routing_key=REQUEST_QUEUE, request_exchange=REQUEST_EXCHANGE, response_queue='', response_exchange=RESPONSE_EXCHANGE_NAME, loop=event_loop ) response = await client.send(payload={'name': 'microservice', 'version': '1.0.0'}) assert Response.CONTENT_FIELD_NAME in response.keys() assert response[Response.CONTENT_FIELD_NAME] == 'OK' assert Response.EVENT_FIELD_NAME in response.keys() assert response[Response.EVENT_FIELD_NAME] is None await extension.deinit(event_loop) @pytest.mark.asyncio async def test_rpc_amqp_client_returns_an_error(event_loop): app = Application(config=FakeConfig(), loop=event_loop) register_worker = FakeRegisterMicroserviceWorker(app) extension = AmqpExtension(app) extension.register_worker(register_worker) await extension.init(event_loop) client = RpcAmqpClient( app=app, routing_key=REQUEST_QUEUE, request_exchange=REQUEST_EXCHANGE, response_queue='', response_exchange=RESPONSE_EXCHANGE_NAME ) response = await client.send(payload={}) assert Response.ERROR_FIELD_NAME in response.keys() assert Response.ERROR_TYPE_FIELD_NAME in response[Response.ERROR_FIELD_NAME].keys() assert response[Response.ERROR_FIELD_NAME][Response.ERROR_TYPE_FIELD_NAME] == VALIDATION_ERROR # NOQA assert Response.ERROR_DETAILS_FIELD_NAME in response[Response.ERROR_FIELD_NAME].keys() assert response[Response.ERROR_FIELD_NAME][Response.ERROR_DETAILS_FIELD_NAME] == VALIDATION_ERROR_DECR # NOQA assert Response.EVENT_FIELD_NAME in response.keys() assert response[Response.EVENT_FIELD_NAME] is None await extension.deinit(event_loop)

35.61

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0.775344

419

3,561

6.28401

0.155131

0.064945

0.033422

0.057729

0.769085

0.747057

0.733004

0

0.001977

0.147711

3,561

99

115

35.969697

0.865568

0.002527

0

0.675676

0

0.016906

0

0.202703

1

0

false

0

0.081081

0

0.081081

0

null

0

1

0

null

0

5

c5d26f124d7803a5d0483030310d5f3218904ee3

20

py

Python

checkov/version.py

jmeredith16/checkov

91dc9e970609c7ce53e325b8b70fec788dc12c96

[ "Apache-2.0" ]

null

checkov/version.py

jmeredith16/checkov

91dc9e970609c7ce53e325b8b70fec788dc12c96

[ "Apache-2.0" ]

null

checkov/version.py

jmeredith16/checkov

91dc9e970609c7ce53e325b8b70fec788dc12c96

[ "Apache-2.0" ]

null

version = '2.0.706'

10

19

0.6

4

20

3

1

0

0.294118

0.15

20

1

20

0.411765

0

0.35

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

c5efdfd7527a9d610cd0e6cd62680c8957d0b58f

14,512

py

Python

restler/unit_tests/test_basic_functionality_end_to_end.py

Ayudjj/mvp

a0ba706a2156e31cf6053b639b57aa1b9acad442

[ "MIT" ]

1

2020-12-05T14:23:08.000Z

restler/unit_tests/test_basic_functionality_end_to_end.py

Ayudjj/mvp

a0ba706a2156e31cf6053b639b57aa1b9acad442

[ "MIT" ]

null

restler/unit_tests/test_basic_functionality_end_to_end.py

Ayudjj/mvp

a0ba706a2156e31cf6053b639b57aa1b9acad442

[ "MIT" ]

null

# Copyright (c) Microsoft Corporation. # Licensed under the MIT License. """ Runs functional tests, which invoke the RESTler engine and check the RESTler output logs for correctness. When new baseline logs are necessary due to known breaking changes in the logic, a run that matches the test should be run manually and the appropriate logs should be replaced in the unit_tests/log_baseline_test_files directory. Each log is named <test-type_log-type.txt> """ import unittest import os import glob import sys import shutil import subprocess import utils.logger as logger from collections import namedtuple from test_servers.log_parser import * Test_File_Directory = os.path.join( os.path.dirname(__file__), 'log_baseline_test_files' ) Restler_Path = os.path.join(os.path.dirname(__file__), '..', 'restler.py') Common_Settings = [ "python", "-B", Restler_Path, "--use_test_socket", '--custom_mutations', f'{os.path.join(Test_File_Directory, "test_dict.json")}', "--garbage_collection_interval", "30", "--host", "unittest" ] class FunctionalityTests(unittest.TestCase): def get_experiments_dir(self): """ Returns the most recent experiments directory that contains the restler logs @return: The experiments dir @rtype : Str """ results_dir = os.path.join(os.getcwd(), 'RestlerResults') # Return the newest experiments directory in RestlerResults return max(glob.glob(os.path.join(results_dir, 'experiment*/')), key=os.path.getmtime) def get_network_log_path(self, dir, log_type): """ Returns the path to the network log of the specified type @param dir: The directory that contains the log @type dir: Str @param log_type: The type of network log to get @type log_type: Str @return: The path to the network log @rtype : Str """ return glob.glob(os.path.join(dir, 'logs', f'network.{log_type}.*.1.txt'))[0] def tearDown(self): try: shutil.rmtree(self.get_experiments_dir()) except Exception as err: print(f"tearDown function failed: {err!s}.\n" "Experiments directory was not deleted.") def test_smoke_test(self): """ This checks that the directed smoke test executes all of the expected requests in the correct order with correct arguments from the dictionary. """ args = Common_Settings + [ '--fuzzing_mode', 'directed-smoke-test', '--restler_grammar', f'{os.path.join(Test_File_Directory, "test_grammar.py")}' ] result = subprocess.run(args, capture_output=True) if result.stderr: self.fail(result.stderr) try: result.check_returncode() except subprocess.CalledProcessError: self.fail(f"Restler returned non-zero exit code: {result.returncode}") experiments_dir = self.get_experiments_dir() try: default_parser = FuzzingLogParser(os.path.join(Test_File_Directory, "smoke_test_testing_log.txt")) test_parser = FuzzingLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_TESTING)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Smoke test failed: Fuzzing") try: default_parser = GarbageCollectorLogParser(os.path.join(Test_File_Directory, "smoke_test_gc_log.txt")) test_parser = GarbageCollectorLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_GC)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Smoke test failed: Garbage Collector") def test_create_once(self): """ This checks that a directed smoke test, using create once endpoints, executes all of the expected requests in the correct order with correct arguments from the dictionary. """ args = Common_Settings + [ '--fuzzing_mode', 'directed-smoke-test', '--restler_grammar', f'{os.path.join(Test_File_Directory, "test_grammar.py")}', '--settings', f'{os.path.join(Test_File_Directory, "test_settings_createonce.json")}' ] result = subprocess.run(args, capture_output=True) if result.stderr: self.fail(result.stderr) try: result.check_returncode() except subprocess.CalledProcessError: self.fail(f"Restler returned non-zero exit code: {result.returncode}") experiments_dir = self.get_experiments_dir() try: default_parser = FuzzingLogParser(os.path.join(Test_File_Directory, "create_once_testing_log.txt")) test_parser = FuzzingLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_TESTING)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Create-once failed: Fuzzing") try: default_parser = FuzzingLogParser(os.path.join(Test_File_Directory, "create_once_pre_log.txt")) test_parser = FuzzingLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_PREPROCESSING)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Create-once failed: Preprocessing") try: default_parser = GarbageCollectorLogParser(os.path.join(Test_File_Directory, "create_once_gc_log.txt")) test_parser = GarbageCollectorLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_GC)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Create-once failed: Garbage Collector") def test_checkers(self): """ This checks that a directed smoke test, with checkers enabled (sans namespacerule, payloadbody, examples), bugs planted for each checker, and a main driver bug, will produce the appropriate bug buckets and the requests will be sent in the correct order. """ args = Common_Settings + [ '--fuzzing_mode', 'directed-smoke-test', '--restler_grammar', f'{os.path.join(Test_File_Directory, "test_grammar_bugs.py")}', '--enable_checkers', '*' ] result = subprocess.run(args, capture_output=True) if result.stderr: self.fail(result.stderr) try: result.check_returncode() except subprocess.CalledProcessError: self.fail(f"Restler returned non-zero exit code: {result.returncode}") experiments_dir = self.get_experiments_dir() try: default_parser = FuzzingLogParser(os.path.join(Test_File_Directory, "checkers_testing_log.txt")) test_parser = FuzzingLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_TESTING)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Checkers failed: Fuzzing") try: default_parser = BugLogParser(os.path.join(Test_File_Directory, "checkers_bug_buckets.txt")) test_parser = BugLogParser(os.path.join(experiments_dir, 'bug_buckets', 'bug_buckets.txt')) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Checkers failed: Bug Buckets") try: default_parser = GarbageCollectorLogParser(os.path.join(Test_File_Directory, "checkers_gc_log.txt")) test_parser = GarbageCollectorLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_GC)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Checkers failed: Garbage Collector") def test_multi_dict(self): """ This checks that the directed smoke test executes all of the expected requests in the correct order when a second dictionary is specified in the settings file to be used for one of the endpoints. """ args = Common_Settings + [ '--fuzzing_mode', 'directed-smoke-test', '--restler_grammar', f'{os.path.join(Test_File_Directory, "test_grammar.py")}', '--settings', f'{os.path.join(Test_File_Directory, "test_settings_multidict.json")}' ] result = subprocess.run(args, capture_output=True) if result.stderr: self.fail(result.stderr) try: result.check_returncode() except subprocess.CalledProcessError: self.fail(f"Restler returned non-zero exit code: {result.returncode}") experiments_dir = self.get_experiments_dir() try: default_parser = FuzzingLogParser(os.path.join(Test_File_Directory, "multidict_testing_log.txt")) test_parser = FuzzingLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_TESTING)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Multi-dict failed: Fuzzing") try: default_parser = GarbageCollectorLogParser(os.path.join(Test_File_Directory, "multidict_gc_log.txt")) test_parser = GarbageCollectorLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_GC)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Multi-dict failed: Garbage Collector") def test_fuzz(self): """ This checks that a bfs-cheap fuzzing run executes all of the expected requests in the correct order with correct arguments from the dictionary. The test runs for 3 minutes and checks 100 sequences """ Fuzz_Time = 0.1 # 6 minutes Num_Sequences = 300 args = Common_Settings + [ '--fuzzing_mode', 'bfs-cheap', '--restler_grammar',f'{os.path.join(Test_File_Directory, "test_grammar.py")}', '--time_budget', f'{Fuzz_Time}', '--enable_checkers', '*', '--disable_checkers', 'namespacerule' ] result = subprocess.run(args, capture_output=True) if result.stderr: self.fail(result.stderr) try: result.check_returncode() except subprocess.CalledProcessError: self.fail(f"Restler returned non-zero exit code: {result.returncode}") experiments_dir = self.get_experiments_dir() try: default_parser = FuzzingLogParser(os.path.join(Test_File_Directory, "fuzz_testing_log.txt"), max_seq=Num_Sequences) test_parser = FuzzingLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_TESTING), max_seq=Num_Sequences) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Fuzz failed: Fuzzing") def test_payload_body_checker(self): """ This checks that the payload body checker sends all of the correct requests in the correct order and an expected 500 bug is logged. """ args = Common_Settings + [ '--fuzzing_mode', 'directed-smoke-test', '--restler_grammar', f'{os.path.join(Test_File_Directory, "test_grammar.py")}', '--enable_checkers', 'payloadbody' ] result = subprocess.run(args, capture_output=True) if result.stderr: self.fail(result.stderr) try: result.check_returncode() except subprocess.CalledProcessError: self.fail(f"Restler returned non-zero exit code: {result.returncode}") experiments_dir = self.get_experiments_dir() try: default_parser = FuzzingLogParser(os.path.join(Test_File_Directory, "payloadbody_testing_log.txt")) test_parser = FuzzingLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_TESTING)) except TestFailedException: self.fail("Payload body failed: Fuzzing") try: default_parser = BugLogParser(os.path.join(Test_File_Directory, "payloadbody_bug_buckets.txt")) test_parser = BugLogParser(os.path.join(experiments_dir, 'bug_buckets', 'bug_buckets.txt')) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Payload body failed: Bug Buckets") try: default_parser = GarbageCollectorLogParser(os.path.join(Test_File_Directory, "payloadbody_gc_log.txt")) test_parser = GarbageCollectorLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_GC)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Payload body failed: Garbage Collector") def test_examples_checker(self): """ This checks that the examples checker sends the correct requests in the correct order when query or body examples are present """ args = Common_Settings + [ '--fuzzing_mode', 'directed-smoke-test', '--restler_grammar', f'{os.path.join(Test_File_Directory, "test_grammar.py")}', '--enable_checkers', 'examples' ] result = subprocess.run(args, capture_output=True) if result.stderr: self.fail(result.stderr) try: result.check_returncode() except subprocess.CalledProcessError: self.fail(f"Restler returned non-zero exit code: {result.returncode}") experiments_dir = self.get_experiments_dir() try: default_parser = FuzzingLogParser(os.path.join(Test_File_Directory, "examples_testing_log.txt")) test_parser = FuzzingLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_TESTING)) except TestFailedException: self.fail("Payload body failed: Fuzzing") try: default_parser = GarbageCollectorLogParser(os.path.join(Test_File_Directory, "examples_gc_log.txt")) test_parser = GarbageCollectorLogParser(self.get_network_log_path(experiments_dir, logger.LOG_TYPE_GC)) self.assertTrue(default_parser.diff_log(test_parser)) except TestFailedException: self.fail("Payload body failed: Garbage Collector")

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null

0

1

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null

0

5

681b7c879fe3f2d09f237ea35bdbdb7e97ac6241

2,002

py

Python

tests/garage/replay_buffer/test_replay_buffer.py

Maltimore/garage

a3f44b37eeddca37d157766a9a72e8772f104bcd

[ "MIT" ]

1

2019-07-31T06:53:38.000Z

tests/garage/replay_buffer/test_replay_buffer.py

Maltimore/garage

a3f44b37eeddca37d157766a9a72e8772f104bcd

[ "MIT" ]

null

tests/garage/replay_buffer/test_replay_buffer.py

Maltimore/garage

a3f44b37eeddca37d157766a9a72e8772f104bcd

[ "MIT" ]

1

2020-02-05T00:34:07.000Z

import numpy as np from garage.replay_buffer import SimpleReplayBuffer from tests.fixtures.envs.dummy import DummyDiscreteEnv class TestReplayBuffer: def test_add_transition_dtype(self): env = DummyDiscreteEnv() obs = env.reset() replay_buffer = SimpleReplayBuffer( env_spec=env, size_in_transitions=3, time_horizon=1) replay_buffer.add_transition( observation=obs, action=env.action_space.sample()) sample = replay_buffer.sample(1) sample_obs = sample['observation'] sample_action = sample['action'] assert sample_obs.dtype == env.observation_space.dtype assert sample_action.dtype == env.action_space.dtype def test_add_transitions_dtype(self): env = DummyDiscreteEnv() obs = env.reset() replay_buffer = SimpleReplayBuffer( env_spec=env, size_in_transitions=3, time_horizon=1) replay_buffer.add_transitions( observation=[obs], action=[env.action_space.sample()]) sample = replay_buffer.sample(1) sample_obs = sample['observation'] sample_action = sample['action'] assert sample_obs.dtype == env.observation_space.dtype assert sample_action.dtype == env.action_space.dtype def test_eviction_policy(self): env = DummyDiscreteEnv() obs = env.reset() replay_buffer = SimpleReplayBuffer( env_spec=env, size_in_transitions=3, time_horizon=1) replay_buffer.add_transitions(observation=[obs, obs], action=[1, 2]) assert not replay_buffer.full replay_buffer.add_transitions(observation=[obs, obs], action=[3, 4]) assert replay_buffer.full replay_buffer.add_transitions(observation=[obs, obs], action=[5, 6]) replay_buffer.add_transitions(observation=[obs, obs], action=[7, 8]) assert np.array_equal(replay_buffer._buffer['action'], [[7], [8], [6]]) assert replay_buffer.n_transitions_stored == 3

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null

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null

0

5

a84bbb52eda077f44cc7b316828fb87f5e2b4397

3,371

py

Python

ansible-devel/test/units/galaxy/test_role_requirements.py

satishcarya/ansible

ed091e174c26316f621ac16344a95c99f56bdc43

[ "MIT" ]

null

ansible-devel/test/units/galaxy/test_role_requirements.py

satishcarya/ansible

ed091e174c26316f621ac16344a95c99f56bdc43

[ "MIT" ]

null

ansible-devel/test/units/galaxy/test_role_requirements.py

satishcarya/ansible

ed091e174c26316f621ac16344a95c99f56bdc43

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright: (c) 2020, Ansible Project # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type import pytest from ansible.playbook.role.requirement import RoleRequirement def test_null_role_url(): role = RoleRequirement.role_yaml_parse('') assert role['src'] == '' assert role['name'] == '' assert role['scm'] is None assert role['version'] is None def test_git_file_role_url(): role = RoleRequirement.role_yaml_parse('git+file:///home/bennojoy/nginx') assert role['src'] == 'file:///home/bennojoy/nginx' assert role['name'] == 'nginx' assert role['scm'] == 'git' assert role['version'] is None def test_https_role_url(): role = RoleRequirement.role_yaml_parse('https://github.com/bennojoy/nginx') assert role['src'] == 'https://github.com/bennojoy/nginx' assert role['name'] == 'nginx' assert role['scm'] is None assert role['version'] is None def test_git_https_role_url(): role = RoleRequirement.role_yaml_parse('git+https://github.com/geerlingguy/ansible-role-composer.git') assert role['src'] == 'https://github.com/geerlingguy/ansible-role-composer.git' assert role['name'] == 'ansible-role-composer' assert role['scm'] == 'git' assert role['version'] is None def test_git_version_role_url(): role = RoleRequirement.role_yaml_parse('git+https://github.com/geerlingguy/ansible-role-composer.git,main') assert role['src'] == 'https://github.com/geerlingguy/ansible-role-composer.git' assert role['name'] == 'ansible-role-composer' assert role['scm'] == 'git' assert role['version'] == 'main' @pytest.mark.parametrize("url", [ ('https://some.webserver.example.com/files/main.tar.gz'), ('https://some.webserver.example.com/files/main.tar.bz2'), ('https://some.webserver.example.com/files/main.tar.xz'), ]) def test_tar_role_url(url): role = RoleRequirement.role_yaml_parse(url) assert role['src'] == url assert role['name'].startswith('main') assert role['scm'] is None assert role['version'] is None def test_git_ssh_role_url(): role = RoleRequirement.role_yaml_parse('[email protected]:mygroup/ansible-base.git') assert role['src'] == '[email protected]:mygroup/ansible-base.git' assert role['name'].startswith('ansible-base') assert role['scm'] is None assert role['version'] is None def test_token_role_url(): role = RoleRequirement.role_yaml_parse('git+https://gitlab+deploy-token-312644:[email protected]/akasurde/ansible-demo') assert role['src'] == 'https://gitlab+deploy-token-312644:[email protected]/akasurde/ansible-demo' assert role['name'].startswith('ansible-demo') assert role['scm'] == 'git' assert role['version'] is None def test_token_new_style_role_url(): role = RoleRequirement.role_yaml_parse({"src": "git+https://gitlab+deploy-token-312644:[email protected]/akasurde/ansible-demo"}) assert role['src'] == 'https://gitlab+deploy-token-312644:[email protected]/akasurde/ansible-demo' assert role['name'].startswith('ansible-demo') assert role['scm'] == 'git' assert role['version'] == ''

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0

null

0

1

0

null

0

1

0

5

a87bc89cece67977cd20dc1b823775f648a5a6ea

238

py

Python

glue/core/exceptions.py

HPLegion/glue

1843787ccb4de852dfe103ff58473da13faccf5f

[ "BSD-3-Clause" ]

550

2015-01-08T13:51:06.000Z

2022-03-31T11:54:47.000Z

glue/core/exceptions.py

HPLegion/glue

1843787ccb4de852dfe103ff58473da13faccf5f

[ "BSD-3-Clause" ]

1,362

2015-01-03T19:15:52.000Z

2022-03-30T13:23:11.000Z

glue/core/exceptions.py

HPLegion/glue

1843787ccb4de852dfe103ff58473da13faccf5f

[ "BSD-3-Clause" ]

142

2015-01-08T13:08:00.000Z

2022-03-18T13:25:57.000Z

class IncompatibleAttribute(Exception): pass class IncompatibleDataException(Exception): pass class UndefinedROI(Exception): pass class InvalidSubscriber(Exception): pass class InvalidMessage(Exception): pass

11.9

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true

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null

1

0

null

0

1

0

5

a89a91a25c7d71cc53adcd1adb0b082bb4aacfbb

59

py

Python

config.py

retry0/botTelegram-nCov

e75cac6db6ca0f3e8394c82a612bd150fc9c9d44

[ "MIT" ]

null

config.py

retry0/botTelegram-nCov

e75cac6db6ca0f3e8394c82a612bd150fc9c9d44

[ "MIT" ]

null

config.py

retry0/botTelegram-nCov

e75cac6db6ca0f3e8394c82a612bd150fc9c9d44

[ "MIT" ]

null

api_key = "1108029941:AAGkHMtVFPT1-SsL5dRZn7gR65hxWD9-HH0"

29.5

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