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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
921d87ebd3a06e264af37b57c15f3b426169fe5a | 5,667 | py | Python | novaclient/tests/unit/v2/contrib/fakes.py | alvarolopez/python-novaclient | ef7cb1d44d47a1273810603fd96d982d7f0bd7d6 | [
"Apache-1.1"
] | null | null | null | novaclient/tests/unit/v2/contrib/fakes.py | alvarolopez/python-novaclient | ef7cb1d44d47a1273810603fd96d982d7f0bd7d6 | [
"Apache-1.1"
] | null | null | null | novaclient/tests/unit/v2/contrib/fakes.py | alvarolopez/python-novaclient | ef7cb1d44d47a1273810603fd96d982d7f0bd7d6 | [
"Apache-1.1"
] | null | null | null | # Copyright 2012 OpenStack Foundation
#
# 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 writ... | 36.095541 | 75 | 0.470796 |
1fbcee968bba97eac0cc9b13eadb31d2449e671d | 1,005 | py | Python | taiga/events/backends/__init__.py | threefoldtech/Threefold-Circles | cbc433796b25cf7af9a295af65d665a4a279e2d6 | [
"Apache-2.0"
] | null | null | null | taiga/events/backends/__init__.py | threefoldtech/Threefold-Circles | cbc433796b25cf7af9a295af65d665a4a279e2d6 | [
"Apache-2.0"
] | 12 | 2019-11-25T14:08:32.000Z | 2021-06-24T10:35:51.000Z | taiga/events/backends/__init__.py | threefoldtech/Threefold-Circles | cbc433796b25cf7af9a295af65d665a4a279e2d6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (C) 2014-2017 Andrey Antukh <niwi@niwi.nz>
# Copyright (C) 2014-2017 Jesús Espino <jespinog@gmail.com>
# Copyright (C) 2014-2017 David Barragán <bameda@dbarragan.com>
# Copyright (C) 2014-2017 Alejandro Alonso <alejandro.alonso@kaleidos.net>
# This program is free software: you can r... | 45.681818 | 74 | 0.760199 |
d779c3961dd291860b45df97f1726d3f0fea09a9 | 7,960 | py | Python | src/pytkdocs/serializer.py | shashankrnr32/pytkdocs | bf04764f1608970643932329c9f6c8c63a0c5632 | [
"0BSD"
] | 1 | 2021-04-30T23:34:03.000Z | 2021-04-30T23:34:03.000Z | src/pytkdocs/serializer.py | shashankrnr32/pytkdocs | bf04764f1608970643932329c9f6c8c63a0c5632 | [
"0BSD"
] | null | null | null | src/pytkdocs/serializer.py | shashankrnr32/pytkdocs | bf04764f1608970643932329c9f6c8c63a0c5632 | [
"0BSD"
] | null | null | null | """
This module defines function to serialize objects.
These functions simply take objects as parameters and return dictionaries that can be dumped by `json.dumps`.
"""
import inspect
import re
from typing import Any, Match, Optional, Pattern
from pytkdocs.objects import Object, Source
from pytkdocs.parsers.docstrin... | 32.757202 | 112 | 0.66407 |
d66f088619ab3c18978d4063fc454570ddc6728e | 984 | py | Python | timus/1013.py | nurseiit/compete | 7e36898860a279e397bcb51308d0aef0860cc448 | [
"MIT"
] | 3 | 2019-06-28T17:12:44.000Z | 2021-07-22T01:16:01.000Z | timus/1013.py | nurseiit/compete | 7e36898860a279e397bcb51308d0aef0860cc448 | [
"MIT"
] | null | null | null | timus/1013.py | nurseiit/compete | 7e36898860a279e397bcb51308d0aef0860cc448 | [
"MIT"
] | null | null | null | def matmulmod(a, b, mod):
n = len(a)
m = len(a[0])
p = len(b[0])
c = [[0 for i in range(p)] for j in range(n)]
for i in range(n):
for j in range(m):
for k in range(p):
c[i][k] = (c[i][k] + a[i][j] * b[j][k]) % mod
return c
def matpowmod(a, n, mod):
res =... | 18.566038 | 61 | 0.386179 |
cf82c2b7848a3dc07ff73d7ae8929ad3ed1d8bc4 | 10,378 | py | Python | dataloader/loader.py | Jvictor97/AWR-Adaptive-Weighting-Regression | 2c29f8ac3d824edfff07465232ffed8e4d837ebf | [
"MIT"
] | 90 | 2020-03-16T15:18:57.000Z | 2022-03-16T10:02:52.000Z | dataloader/loader.py | Jvictor97/AWR-Adaptive-Weighting-Regression | 2c29f8ac3d824edfff07465232ffed8e4d837ebf | [
"MIT"
] | 16 | 2020-05-01T03:11:44.000Z | 2021-12-14T13:03:38.000Z | dataloader/loader.py | Jvictor97/AWR-Adaptive-Weighting-Regression | 2c29f8ac3d824edfff07465232ffed8e4d837ebf | [
"MIT"
] | 16 | 2020-05-21T09:07:04.000Z | 2022-02-22T13:00:19.000Z | from torch.utils.data import Dataset
import numpy as np
import cv2
from util.util import uvd2xyz, xyz2uvd
from scipy.sparse import coo_matrix
class Loader(Dataset):
def __init__(self, root, phase, img_size, dataset_name):
assert phase in ['train', 'test']
self.seed = np.random.RandomState(23455)
... | 39.610687 | 148 | 0.581422 |
5892dca5bef621824f52a62ad9f5d1dc476200bd | 1,071 | py | Python | tests/math/unary/test_scipy_mirror.py | kw-0/MyGrad | 307f1bb5f2391e7f4df49fe43a7acf9d1e8ea141 | [
"MIT"
] | 147 | 2018-07-14T01:37:35.000Z | 2022-03-29T06:37:58.000Z | tests/math/unary/test_scipy_mirror.py | kw-0/MyGrad | 307f1bb5f2391e7f4df49fe43a7acf9d1e8ea141 | [
"MIT"
] | 223 | 2018-05-31T14:13:18.000Z | 2022-02-27T18:53:49.000Z | tests/math/unary/test_scipy_mirror.py | kw-0/MyGrad | 307f1bb5f2391e7f4df49fe43a7acf9d1e8ea141 | [
"MIT"
] | 27 | 2018-06-17T14:42:05.000Z | 2021-10-31T00:21:09.000Z | import hypothesis.extra.numpy as hnp
import hypothesis.strategies as st
import numpy as np
import pytest
from hypothesis import given, settings
from numpy.testing import assert_array_equal
from scipy import special
from mygrad.math._special import logsumexp
from tests.custom_strategies import valid_axes
@settings(de... | 30.6 | 75 | 0.727358 |
f1faca6c9b464f026432ddbb22e7958eeb485dd3 | 7,529 | py | Python | tests/test_optic.py | dkirkby/batoid | 734dccc289eb7abab77a62cdc14563ed5981753b | [
"BSD-2-Clause"
] | null | null | null | tests/test_optic.py | dkirkby/batoid | 734dccc289eb7abab77a62cdc14563ed5981753b | [
"BSD-2-Clause"
] | null | null | null | tests/test_optic.py | dkirkby/batoid | 734dccc289eb7abab77a62cdc14563ed5981753b | [
"BSD-2-Clause"
] | null | null | null | import batoid
import numpy as np
import os
from test_helpers import timer, do_pickle, all_obj_diff
import time
import yaml
@timer
def test_optic():
if __name__ == '__main__':
nside = 128
else:
nside = 32
rays = batoid.rayGrid(20, 12.0, 0.005, 0.005, -1.0, nside, 500e-9, 1.0, batoid.ConstM... | 31.767932 | 105 | 0.644441 |
26e8e46ad104701dba3bb3458d78f98f21b1be6d | 1,584 | py | Python | profiles_PROJECT/profiles_api/serializers.py | TheKinng96/rest-api | 7835651547d82504e9e764eaa44ff00c73b9dbf3 | [
"MIT"
] | null | null | null | profiles_PROJECT/profiles_api/serializers.py | TheKinng96/rest-api | 7835651547d82504e9e764eaa44ff00c73b9dbf3 | [
"MIT"
] | 1 | 2020-04-28T10:35:49.000Z | 2020-04-28T10:35:49.000Z | profiles_PROJECT/profiles_api/serializers.py | TheKinng96/rest-api | 7835651547d82504e9e764eaa44ff00c73b9dbf3 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from profiles_api.models import UserProfile
from profiles_api.models import ProfileFeedItem
class HelloSerializer(serializers.Serializer):
"""Serializes a name field for testing our APIView"""
name = serializers.CharField(max_length=10) #serializer function for post
cl... | 32.326531 | 77 | 0.645202 |
eb789a0d8e6489c75467d86f35fa2b311ed7fdbf | 18,580 | py | Python | mmt/featureExtractor.py | Montimage/acas | 49c345cee5eabbda4833119de5403316139031b5 | [
"Apache-2.0"
] | null | null | null | mmt/featureExtractor.py | Montimage/acas | 49c345cee5eabbda4833119de5403316139031b5 | [
"Apache-2.0"
] | null | null | null | mmt/featureExtractor.py | Montimage/acas | 49c345cee5eabbda4833119de5403316139031b5 | [
"Apache-2.0"
] | null | null | null | import numpy
import pandas as pd
from scipy.stats import entropy
"""
Deals with calculation of actual ML features.
feature_names - predefined col names for the final ML feature dataframe
"""
feature_names = ['ip.pkts_per_flow', 'duration', 'ip.header_len',
'ip.payload_len', 'ip.avg_bytes_tot_len... | 56.132931 | 181 | 0.636598 |
a76c81ca157c4e88a20827feb9460ccada22e47b | 5,572 | py | Python | tests/test_precision_recall_metrics.py | michaelwang123/PaddleRec | 4feb0a7f962e918bdfa4f7289a9ddfd08d459824 | [
"Apache-2.0"
] | 2,739 | 2020-04-28T05:12:48.000Z | 2022-03-31T16:01:49.000Z | tests/test_precision_recall_metrics.py | michaelwang123/PaddleRec | 4feb0a7f962e918bdfa4f7289a9ddfd08d459824 | [
"Apache-2.0"
] | 205 | 2020-05-14T13:29:14.000Z | 2022-03-31T13:01:50.000Z | tests/test_precision_recall_metrics.py | michaelwang123/PaddleRec | 4feb0a7f962e918bdfa4f7289a9ddfd08d459824 | [
"Apache-2.0"
] | 545 | 2020-05-14T13:19:13.000Z | 2022-03-24T07:53:05.000Z | # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# 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 app... | 34.184049 | 79 | 0.611989 |
92c9e1100f6ea8f99947cec4a0929343375fdd9a | 6,447 | py | Python | solvers/lasso_utils/celebA_estimators.py | mjsong32/GlowRED | 5189b299452e39b99e63ad2d024d2754d66cf3d5 | [
"MIT"
] | 2 | 2019-08-30T12:10:55.000Z | 2021-07-08T20:50:44.000Z | solvers/lasso_utils/celebA_estimators.py | mjsong32/GlowRED | 5189b299452e39b99e63ad2d024d2754d66cf3d5 | [
"MIT"
] | null | null | null | solvers/lasso_utils/celebA_estimators.py | mjsong32/GlowRED | 5189b299452e39b99e63ad2d024d2754d66cf3d5 | [
"MIT"
] | 1 | 2021-05-12T17:15:31.000Z | 2021-05-12T17:15:31.000Z | """Estimators for compressed sensing"""
# pylint: disable = C0301, C0103, C0111, R0914
import copy
import heapq
import numpy as np
from . import utils
#import utils
import scipy.fftpack as fftpack
import pywt
def dct2(image_channel):
return fftpack.dct(fftpack.dct(image_channel.T, norm='ortho').T, norm='ortho')
... | 33.578125 | 144 | 0.557934 |
e98a4c2646cab1799d4d936415b4fc3d15e7c1b1 | 9,978 | py | Python | config/scratch/mask_r50v1b_fpn_gn_scratch_2x.py | happywu/simpledet-1 | 5d1de1edfbe745b05b49d9c19eca1e496ded11b7 | [
"Apache-2.0"
] | 3,195 | 2019-01-29T09:08:46.000Z | 2022-03-29T08:20:44.000Z | config/scratch/mask_r50v1b_fpn_gn_scratch_2x.py | happywu/simpledet-1 | 5d1de1edfbe745b05b49d9c19eca1e496ded11b7 | [
"Apache-2.0"
] | 275 | 2019-01-29T10:16:12.000Z | 2022-03-15T17:56:39.000Z | config/scratch/mask_r50v1b_fpn_gn_scratch_2x.py | happywu/simpledet-1 | 5d1de1edfbe745b05b49d9c19eca1e496ded11b7 | [
"Apache-2.0"
] | 563 | 2019-01-29T09:32:07.000Z | 2022-03-22T06:58:01.000Z | from symbol.builder import add_anchor_to_arg
from symbol.builder import ResNetV1bFPN as Backbone
from models.FPN.builder import FPNNeck as Neck
from models.FPN.builder import FPNRoiAlign as RoiExtractor
from models.FPN.builder import FPNBbox2fcHead as BboxHead
from mxnext.complicate import normalizer_factory
from mode... | 29.696429 | 147 | 0.592704 |
a71c78de72a2115f3c0cc23e020102d4420b8309 | 3,912 | py | Python | blobDetectorParameters.py | qenops/dDisplay | 3a7846378733d95c17b6274cc3ebe775bbd8f758 | [
"Apache-2.0"
] | null | null | null | blobDetectorParameters.py | qenops/dDisplay | 3a7846378733d95c17b6274cc3ebe775bbd8f758 | [
"Apache-2.0"
] | null | null | null | blobDetectorParameters.py | qenops/dDisplay | 3a7846378733d95c17b6274cc3ebe775bbd8f758 | [
"Apache-2.0"
] | null | null | null | import cv2
import numpy as np
# Generate and display the images
def update(dummy=None):
params = cv2.SimpleBlobDetector_Params()
params.minThreshold = max(cv2.getTrackbarPos('Min Threshold', 'Blob Detector'),1)
params.maxThreshold = cv2.getTrackbarPos('Max Threshold', 'Blob Detector')
params.thresholdS... | 49.518987 | 122 | 0.704499 |
de704ed20294488b0219ab22b985451e51b62bc7 | 7,956 | py | Python | examples/catalyst_rl/dqn.py | Thiefwerty/catalyst | 58c4e0e3ca3928f7402cfc750fbc9a77e44a2b66 | [
"Apache-2.0"
] | 2,693 | 2019-01-23T19:16:12.000Z | 2022-03-31T02:12:42.000Z | examples/catalyst_rl/dqn.py | Thiefwerty/catalyst | 58c4e0e3ca3928f7402cfc750fbc9a77e44a2b66 | [
"Apache-2.0"
] | 763 | 2019-01-22T20:12:56.000Z | 2022-03-27T18:36:10.000Z | examples/catalyst_rl/dqn.py | Thiefwerty/catalyst | 58c4e0e3ca3928f7402cfc750fbc9a77e44a2b66 | [
"Apache-2.0"
] | 445 | 2019-01-23T17:07:09.000Z | 2022-03-30T05:38:45.000Z | # flake8: noqa
from typing import Sequence
import os
from buffer import OffpolicyReplayBuffer
from db import RedisDB
from misc import GameCallback, soft_update, Trajectory
import numpy as np
from sampler import ISampler
import gym
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from cataly... | 32.080645 | 94 | 0.619532 |
b777e28f1a899ec4019e29d7680545dec9e50a1b | 924 | py | Python | geometry/ib3shapes.py | matinraayai/ibex | 7792d1299a04da360faa1cd8a16a4c5a3990b48c | [
"MIT"
] | 3 | 2018-08-10T21:11:09.000Z | 2019-07-26T13:47:24.000Z | geometry/ib3shapes.py | matinraayai/ibex | 7792d1299a04da360faa1cd8a16a4c5a3990b48c | [
"MIT"
] | null | null | null | geometry/ib3shapes.py | matinraayai/ibex | 7792d1299a04da360faa1cd8a16a4c5a3990b48c | [
"MIT"
] | 6 | 2018-03-05T20:14:11.000Z | 2020-07-23T18:39:16.000Z | from copy import deepcopy
from ibex.utilities.constants import *
class IBBox:
def __init__(self, mins, maxs):
self.mins = list(mins)
self.maxs = list(maxs)
def __str__(self):
return '({},{},{})-({},{},{})'.format(self.mins[IB_X], self.mins[IB_Y], self.mins[IB_Z], self.maxs[IB_X], self.... | 46.2 | 147 | 0.62013 |
410b9567103e14643c532178552c0b61c56e2b73 | 16,843 | py | Python | sysroot/usr/lib/python3/dist-packages/urllib3/poolmanager.py | 219-design/sysroot_qt5.15.0_binaries_armv6zk_rpizero | c3ad917b65b970c451148391ef1c2483593702ed | [
"MIT"
] | null | null | null | sysroot/usr/lib/python3/dist-packages/urllib3/poolmanager.py | 219-design/sysroot_qt5.15.0_binaries_armv6zk_rpizero | c3ad917b65b970c451148391ef1c2483593702ed | [
"MIT"
] | null | null | null | sysroot/usr/lib/python3/dist-packages/urllib3/poolmanager.py | 219-design/sysroot_qt5.15.0_binaries_armv6zk_rpizero | c3ad917b65b970c451148391ef1c2483593702ed | [
"MIT"
] | null | null | null | from __future__ import absolute_import
import collections
import functools
import logging
from ._collections import RecentlyUsedContainer
from .connectionpool import HTTPConnectionPool, HTTPSConnectionPool
from .connectionpool import port_by_scheme
from .exceptions import LocationValueError, MaxRetryError, ProxyScheme... | 37.345898 | 92 | 0.643531 |
63bc39c2475de1798a07474cae5eca4c30949561 | 4,228 | py | Python | robot/Player.py | 1509098778/wukong-robot | 0c80bdc885a04a2e33051ddf4be119e5f8a9c194 | [
"MIT"
] | 1 | 2019-02-25T06:05:22.000Z | 2019-02-25T06:05:22.000Z | robot/Player.py | 1509098778/wukong-robot | 0c80bdc885a04a2e33051ddf4be119e5f8a9c194 | [
"MIT"
] | null | null | null | robot/Player.py | 1509098778/wukong-robot | 0c80bdc885a04a2e33051ddf4be119e5f8a9c194 | [
"MIT"
] | 1 | 2019-02-20T15:21:18.000Z | 2019-02-20T15:21:18.000Z | # -*- coding: utf-8-*-
import subprocess
import tempfile
import threading
import os
import wave
from . import utils
import pyaudio
from robot import logging
from ctypes import CFUNCTYPE, c_char_p, c_int, cdll
from contextlib import contextmanager
logger = logging.getLogger(__name__)
def py_error_handler(filename, lin... | 25.166667 | 80 | 0.592479 |
3f6a047327235f152897369d97cf2e4fc8e4c61d | 348 | py | Python | 2018/01 - chronical calibration/01.py | Stannislav/Advent-of-Code | b9571e71e1acedf74be3bb32f03c9877f57c48dd | [
"MIT"
] | 2 | 2020-12-12T17:06:47.000Z | 2021-12-15T04:06:57.000Z | 2018/01 - chronical calibration/01.py | Stannislav/Advent-of-Code | b9571e71e1acedf74be3bb32f03c9877f57c48dd | [
"MIT"
] | null | null | null | 2018/01 - chronical calibration/01.py | Stannislav/Advent-of-Code | b9571e71e1acedf74be3bb32f03c9877f57c48dd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Read input
dfs = [int(line) for line in open('01_input.txt', 'r')]
# Part 1
print(f"Part 1: {sum(dfs)}")
# Part 2
f = 0
seen = {f}
found = False
while not found:
for df in dfs:
f += df
if f in seen:
print(f"Part 2: {f}")
found = True
... | 13.92 | 55 | 0.497126 |
63bc715cc386e7ebb4a38dbe65276152c6662832 | 40,551 | py | Python | schema_utils_test.py | prayutsu/oppia | e82da7653f7bbfb9ded0e1ba16cd9f481ff5a786 | [
"Apache-2.0"
] | 2 | 2020-03-28T18:32:45.000Z | 2021-02-07T18:29:31.000Z | schema_utils_test.py | prayutsu/oppia | e82da7653f7bbfb9ded0e1ba16cd9f481ff5a786 | [
"Apache-2.0"
] | 35 | 2019-02-23T20:31:21.000Z | 2019-08-19T12:32:13.000Z | schema_utils_test.py | prayutsu/oppia | e82da7653f7bbfb9ded0e1ba16cd9f481ff5a786 | [
"Apache-2.0"
] | 1 | 2021-01-28T05:20:56.000Z | 2021-01-28T05:20:56.000Z | # coding: utf-8
#
# Copyright 2014 The Oppia Authors. All Rights Reserved.
#
# 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 requi... | 38.546578 | 80 | 0.56445 |
4f527119f3a8b5389a67b1a79de362ebfe605725 | 3,879 | py | Python | golem/report/utils.py | Racerinorbit/golem | b02c7acaed6e84ff565e34e8626e835ec451e2e4 | [
"MIT"
] | null | null | null | golem/report/utils.py | Racerinorbit/golem | b02c7acaed6e84ff565e34e8626e835ec451e2e4 | [
"MIT"
] | null | null | null | golem/report/utils.py | Racerinorbit/golem | b02c7acaed6e84ff565e34e8626e835ec451e2e4 | [
"MIT"
] | null | null | null | import os
from io import BytesIO
from golem import execution
from golem.browser import get_browser
def save_screenshot(reportdir, image_name, format='PNG', quality=None, width=None,
height=None, resize=None):
"""Modify screenshot format, size and quality before saving.
Pillow must be inst... | 36.59434 | 99 | 0.617685 |
4ba9ce0a53ea794bfd769ba779bce030e089a3e4 | 3,085 | py | Python | pontoon/checks/migrations/0001_initial.py | Tratty/pontoon | ecb903d72f9274f02137b16669cc3c5859f6329c | [
"BSD-3-Clause"
] | 3 | 2020-01-27T12:26:20.000Z | 2022-02-03T09:56:02.000Z | pontoon/checks/migrations/0001_initial.py | texnoman/pontoon-src | 6b40ac229605e99966c3bdd1510b772c89d4de24 | [
"BSD-3-Clause"
] | 1 | 2021-03-24T12:33:03.000Z | 2021-03-24T12:50:19.000Z | pontoon/checks/migrations/0001_initial.py | texnoman/pontoon-src | 6b40ac229605e99966c3bdd1510b772c89d4de24 | [
"BSD-3-Clause"
] | 4 | 2020-01-26T21:28:43.000Z | 2021-06-10T15:25:19.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-05-23 10:25
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
("base", "0121_bug_1453999_disable_sync"... | 31.479592 | 87 | 0.363371 |
632601df1f2de2c100a4faeeae3b47a71261b520 | 2,026 | py | Python | towel/templatetags/modelview_list.py | enterstudio/towel | 6892788527b8a111cbf5963e909964aabc96d740 | [
"BSD-3-Clause"
] | null | null | null | towel/templatetags/modelview_list.py | enterstudio/towel | 6892788527b8a111cbf5963e909964aabc96d740 | [
"BSD-3-Clause"
] | null | null | null | towel/templatetags/modelview_list.py | enterstudio/towel | 6892788527b8a111cbf5963e909964aabc96d740 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, unicode_literals
from django import template
from django.db import models
from django.utils.safestring import mark_safe
from django.utils.translation import ugettext as _
from towel.templatetags import towel_resources
register = template.Library()
register.inclusion_tag('to... | 27.753425 | 76 | 0.563179 |
1fb4a2b6a285fe430c120cba4cd1dc6973abb739 | 1,464 | py | Python | submissions/Hess/myLegos.py | WhittKinley/Legos | 861a2651f481d0463003007694c895d3df3b0fee | [
"MIT"
] | null | null | null | submissions/Hess/myLegos.py | WhittKinley/Legos | 861a2651f481d0463003007694c895d3df3b0fee | [
"MIT"
] | null | null | null | submissions/Hess/myLegos.py | WhittKinley/Legos | 861a2651f481d0463003007694c895d3df3b0fee | [
"MIT"
] | null | null | null | from ev3dev.auto import OUTPUT_A, OUTPUT_B, OUTPUT_C, LargeMotor, MediumMotor
from ev3dev.auto import INPUT_1, INPUT_2, INPUT_3, TouchSensor, ColorSensor
import time
import ev3dev.ev3 as ev3
baseTouch = TouchSensor(INPUT_1)
armTouch = TouchSensor(INPUT_2)
colorSensor = ColorSensor(INPUT_3)
clawMotor = MediumMotor(OUTP... | 27.111111 | 77 | 0.757514 |
d0e9379344716925dbfcf863a0bf6be249146425 | 139 | py | Python | test_data/parse/unexpected/method_definitions/argument_with_final/meta_model.py | gillistephan/aas-core-codegen | 5b89ea2ee35aecaca9a1bed7ac81d420cc560f29 | [
"MIT"
] | 5 | 2021-12-29T12:55:34.000Z | 2022-03-01T17:57:21.000Z | test_data/parse/unexpected/method_definitions/argument_with_final/meta_model.py | gillistephan/aas-core-codegen | 5b89ea2ee35aecaca9a1bed7ac81d420cc560f29 | [
"MIT"
] | 10 | 2021-12-29T02:15:55.000Z | 2022-03-09T11:04:22.000Z | test_data/parse/unexpected/method_definitions/argument_with_final/meta_model.py | gillistephan/aas-core-codegen | 5b89ea2ee35aecaca9a1bed7ac81d420cc560f29 | [
"MIT"
] | 2 | 2021-12-29T01:42:12.000Z | 2022-02-15T13:46:33.000Z | class Something:
def do_something(self, x: List[Final[int]]) -> None:
pass
__book_url__ = "dummy"
__book_version__ = "dummy"
| 17.375 | 56 | 0.661871 |
cabce6916c464edf3b8767e6a6282db43ddd035f | 3,056 | py | Python | scripts/tests/py_onnx/keras/export_scripts/upsample2D_enc_dec_mnist_keras_export.py | lauracanalini/eddl | c5efac642e8e1f99b31dfaaacd0a5a058b09923b | [
"MIT"
] | 30 | 2019-10-11T21:03:43.000Z | 2022-02-17T19:56:15.000Z | scripts/tests/py_onnx/keras/export_scripts/upsample2D_enc_dec_mnist_keras_export.py | lauracanalini/eddl | c5efac642e8e1f99b31dfaaacd0a5a058b09923b | [
"MIT"
] | 151 | 2019-10-16T06:47:23.000Z | 2022-03-07T15:15:58.000Z | scripts/tests/py_onnx/keras/export_scripts/upsample2D_enc_dec_mnist_keras_export.py | lauracanalini/eddl | c5efac642e8e1f99b31dfaaacd0a5a058b09923b | [
"MIT"
] | 20 | 2019-10-16T09:37:37.000Z | 2022-02-22T09:47:14.000Z | import argparse
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Input, Conv2D, UpSampling2D, MaxPooling2D
from tensorflow.keras.datasets import mnist
import keras2onnx
# Training settings
parser = argparse.ArgumentParser(description='Keras Conv+Upsample encoder decoder MNIST Example... | 36.819277 | 99 | 0.697644 |
e1d8dd311c2168f5e230816b35a1a02b960900d6 | 4,284 | py | Python | client.py | mikepage/salto | 84161e417d406d10ead0977786553f202def8896 | [
"MIT"
] | 3 | 2021-02-02T15:46:56.000Z | 2021-04-28T06:55:33.000Z | client.py | mikepage/salto | 84161e417d406d10ead0977786553f202def8896 | [
"MIT"
] | null | null | null | client.py | mikepage/salto | 84161e417d406d10ead0977786553f202def8896 | [
"MIT"
] | 1 | 2021-01-18T11:57:38.000Z | 2021-01-18T11:57:38.000Z | import io
import socket
from logging import Logger
from time import sleep
from typing import Optional
from salto import common
from salto.message import Message
from salto.response import Response
class Client:
MAX_RETRIES = 3
CONNECT_TIMEOUT = 10 # seconds to connect the server
WRITE_TIMEOUT = 10 # s... | 35.404959 | 113 | 0.626984 |
b59cd576dcadf57bebff93646287cb059ac4c492 | 2,141 | py | Python | main.py | igorplyukhin/Cloudy | d4acb2fe6e992a9ec95518ab2a3d240c610043a8 | [
"MIT"
] | null | null | null | main.py | igorplyukhin/Cloudy | d4acb2fe6e992a9ec95518ab2a3d240c610043a8 | [
"MIT"
] | null | null | null | main.py | igorplyukhin/Cloudy | d4acb2fe6e992a9ec95518ab2a3d240c610043a8 | [
"MIT"
] | null | null | null | import click
from config import STORAGE
from ApiError import ApiError
# TODO UnitTests
@click.group()
def cli():
pass
@cli.command()
@click.option('-lp', '--local_path', default='.', help='Path to save file')
@click.argument('cloud_path')
def download_file(local_path, cloud_path):
click.secho('Downloading.... | 26.432099 | 93 | 0.677254 |
456142d237684f67a52f370e2720a880665b4f25 | 1,844 | py | Python | smooth_edge.py | Derek-Wds/training_CartoonGAN | fb7f75cc389833fd5eb08bdb56f9d6e44ecc5dac | [
"MIT"
] | 2 | 2019-07-07T14:57:23.000Z | 2019-07-14T04:11:15.000Z | smooth_edge.py | Derek-Wds/training_CartoonGAN | fb7f75cc389833fd5eb08bdb56f9d6e44ecc5dac | [
"MIT"
] | 10 | 2019-10-23T05:44:51.000Z | 2022-03-11T23:52:00.000Z | smooth_edge.py | Derek-Wds/training_CartoonGAN | fb7f75cc389833fd5eb08bdb56f9d6e44ecc5dac | [
"MIT"
] | null | null | null | import numpy as np
import cv2, os
from tqdm import tqdm
# edge smoothing
def smooth_edge(path, img_size=256):
file_list = os.listdir(path)
save_path = 'dataset/smooth_cartoon_imgs'
if not os.path.exists(os.path.abspath()+'/'+save_path):
os.mkdir(save_path)
kernel_size = 5
kernel = np.... | 40.086957 | 154 | 0.61551 |
99ef11f3111487434dba651fe48e4c0e623de25d | 5,269 | py | Python | setup.py | QihongL/brainiak | cdc53fa15eb779c7b3ac7c3e237e403b3237c73e | [
"Apache-2.0"
] | 2 | 2019-07-04T20:10:26.000Z | 2020-09-23T13:22:06.000Z | setup.py | QihongL/brainiak | cdc53fa15eb779c7b3ac7c3e237e403b3237c73e | [
"Apache-2.0"
] | 1 | 2021-04-09T15:31:27.000Z | 2021-04-09T15:31:27.000Z | setup.py | QihongL/brainiak | cdc53fa15eb779c7b3ac7c3e237e403b3237c73e | [
"Apache-2.0"
] | 1 | 2018-07-11T13:04:22.000Z | 2018-07-11T13:04:22.000Z | from distutils import sysconfig
from setuptools import setup, Extension, find_packages
from setuptools.command.build_ext import build_ext
import os
import sys
import setuptools
from copy import deepcopy
assert sys.version_info >= (3, 5), (
"Please use Python version 3.5 or higher, "
"lower versions are not su... | 31.363095 | 77 | 0.607705 |
0929653f3d7fdf2e2ae8981d87d12144242b7828 | 6,444 | py | Python | qa/rpc-tests/bip65-cltv-p2p.py | danielaTorrezE/BCH | 704a5115998b68c662440b9fdd232579dd884d20 | [
"MIT"
] | null | null | null | qa/rpc-tests/bip65-cltv-p2p.py | danielaTorrezE/BCH | 704a5115998b68c662440b9fdd232579dd884d20 | [
"MIT"
] | null | null | null | qa/rpc-tests/bip65-cltv-p2p.py | danielaTorrezE/BCH | 704a5115998b68c662440b9fdd232579dd884d20 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
#
# Distributed under the MIT/X11 software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
from test_framework.test_framework import ComparisonTestFramework
from test_framework.util import *
from test_framework.mininode import CTransaction, N... | 36.822857 | 100 | 0.630975 |
313143a66ae5548ce4c264a7489e3ee3a41d570a | 11,642 | py | Python | MetamorphicTests/all_mutants/sales_forecasting_file/142.py | anuragbms/Sales-forecasting-with-RNNs | 22b4639ecbb48381af53326ace94a3538201b586 | [
"Apache-2.0"
] | null | null | null | MetamorphicTests/all_mutants/sales_forecasting_file/142.py | anuragbms/Sales-forecasting-with-RNNs | 22b4639ecbb48381af53326ace94a3538201b586 | [
"Apache-2.0"
] | null | null | null | MetamorphicTests/all_mutants/sales_forecasting_file/142.py | anuragbms/Sales-forecasting-with-RNNs | 22b4639ecbb48381af53326ace94a3538201b586 | [
"Apache-2.0"
] | 1 | 2022-02-06T14:59:43.000Z | 2022-02-06T14:59:43.000Z | def gen_mutants():
import tensorflow as tf
import pandas
import numpy as np
DATAFILE_TRAIN = 'mock_kaggle_edit_train.csv'
DATAFILE_VALIDATE = 'mock_kaggle_edit_... | 31.211796 | 232 | 0.629531 |
474ce80e19de8d37e960e7b121c0439e28a01a30 | 325 | py | Python | mpfmonitor/_version.py | kylenahas/mpf-monitor | e3cc22064ebb709788c770a8940d0b0f742a8741 | [
"MIT"
] | null | null | null | mpfmonitor/_version.py | kylenahas/mpf-monitor | e3cc22064ebb709788c770a8940d0b0f742a8741 | [
"MIT"
] | null | null | null | mpfmonitor/_version.py | kylenahas/mpf-monitor | e3cc22064ebb709788c770a8940d0b0f742a8741 | [
"MIT"
] | null | null | null | # mpf-monitor
__version__ = '0.54.0-dev.1'
__short_version__ = '0.54'
__bcp_version__ = '1.1'
__config_version__ = '5'
__mpf_version_required__ = '0.54.0-dev.0'
version = "MPF Monitor v{} (config_version={}, BCP v{}, Requires MPF v{})".format(
__version__, __config_version__, __bcp_version__, __mpf_version_require... | 32.5 | 82 | 0.735385 |
25aba7a39e6450ac047bd8cf5fbd9b2c23753a23 | 3,189 | py | Python | tests/pytests/unit/states/test_composer.py | markgras/salt | d66cd3c935533c63870b83228b978ce43e0ef70d | [
"Apache-2.0"
] | 1 | 2015-04-01T21:38:46.000Z | 2015-04-01T21:38:46.000Z | tests/pytests/unit/states/test_composer.py | markgras/salt | d66cd3c935533c63870b83228b978ce43e0ef70d | [
"Apache-2.0"
] | 9 | 2021-03-31T20:25:25.000Z | 2021-07-04T05:33:46.000Z | tests/pytests/unit/states/test_composer.py | markgras/salt | d66cd3c935533c63870b83228b978ce43e0ef70d | [
"Apache-2.0"
] | null | null | null | """
:codeauthor: Jayesh Kariya <jayeshk@saltstack.com>
"""
import pytest
import salt.states.composer as composer
from salt.exceptions import SaltException
from tests.support.mock import MagicMock, patch
@pytest.fixture
def configure_loader_modules():
return {composer: {}}
def test_installed():
"""
... | 38.421687 | 95 | 0.60301 |
05292a09b53bbabdd8aef52620515b8e69c2e1b3 | 2,156 | py | Python | assets/ctfFiles/2021/idek2021/crypto/nameless/nameless.py | Angmar2722/Angmar2722.github.io | 6d79cfeeb6681b32d62caba167e14c2f4eeb2569 | [
"MIT"
] | null | null | null | assets/ctfFiles/2021/idek2021/crypto/nameless/nameless.py | Angmar2722/Angmar2722.github.io | 6d79cfeeb6681b32d62caba167e14c2f4eeb2569 | [
"MIT"
] | null | null | null | assets/ctfFiles/2021/idek2021/crypto/nameless/nameless.py | Angmar2722/Angmar2722.github.io | 6d79cfeeb6681b32d62caba167e14c2f4eeb2569 | [
"MIT"
] | 9 | 2021-06-30T07:57:08.000Z | 2022-01-03T09:22:35.000Z | #!/usr/bin/env python3
from Crypto.Util.number import getPrime, bytes_to_long
flag = bytes_to_long(open("flag.txt", "rb").read())
p = getPrime(1024)
q = getPrime(1024)
n = p*q
e = 65537
c = pow(flag, e, n)
print(f"{n = }")
print(f"{p**2 + q**2 = }")
print(f"{c = }")
# n = 1703935390757730443533506426340401455487... | 98 | 633 | 0.938312 |
7fb0034c9e297c6866730de21fccd50f239e2da7 | 2,046 | py | Python | symphony/cli/pyinventory/graphql/mutation/add_customer.py | idoshveki/magma | 8022267bd8b8d94913fbb9a0836880361d785446 | [
"BSD-3-Clause"
] | null | null | null | symphony/cli/pyinventory/graphql/mutation/add_customer.py | idoshveki/magma | 8022267bd8b8d94913fbb9a0836880361d785446 | [
"BSD-3-Clause"
] | null | null | null | symphony/cli/pyinventory/graphql/mutation/add_customer.py | idoshveki/magma | 8022267bd8b8d94913fbb9a0836880361d785446 | [
"BSD-3-Clause"
] | 1 | 2021-05-18T06:54:58.000Z | 2021-05-18T06:54:58.000Z | #!/usr/bin/env python3
# @generated AUTOGENERATED file. Do not Change!
from dataclasses import dataclass
from datetime import datetime
from gql.gql.datetime_utils import DATETIME_FIELD
from gql.gql.graphql_client import GraphqlClient
from gql.gql.client import OperationException
from gql.gql.reporter import FailedOper... | 32.47619 | 113 | 0.699413 |
8f625d4e5e84840037d548b8b541b3093dab8cbd | 3,219 | py | Python | example1/automata_example1.py | sebras/berkeman-accelerator-project_skeleton | ec71dee81bc511ee78cd3158847797537bf1c6c5 | [
"Apache-2.0"
] | 15 | 2018-04-20T18:49:33.000Z | 2020-07-31T04:50:16.000Z | example1/automata_example1.py | sebras/berkeman-accelerator-project_skeleton | ec71dee81bc511ee78cd3158847797537bf1c6c5 | [
"Apache-2.0"
] | 1 | 2018-05-25T06:56:00.000Z | 2018-06-05T17:56:47.000Z | example1/automata_example1.py | sebras/berkeman-accelerator-project_skeleton | ec71dee81bc511ee78cd3158847797537bf1c6c5 | [
"Apache-2.0"
] | 11 | 2018-04-20T18:49:41.000Z | 2021-01-15T10:58:36.000Z | ############################################################################
# #
# Copyright (c) 2018 eBay Inc. #
# #
# Licensed u... | 40.746835 | 76 | 0.543026 |
3e111acecf3a12432b238613f021f393b294523a | 959 | py | Python | tasks/__init__.py | ssfdust/smorest-sfs | 139f6817989ab041c81761d183169de20a26597e | [
"Apache-2.0"
] | 8 | 2020-05-11T07:11:03.000Z | 2022-03-25T01:58:18.000Z | tasks/__init__.py | ssfdust/smorest-sfs | 139f6817989ab041c81761d183169de20a26597e | [
"Apache-2.0"
] | null | null | null | tasks/__init__.py | ssfdust/smorest-sfs | 139f6817989ab041c81761d183169de20a26597e | [
"Apache-2.0"
] | 2 | 2020-05-11T03:53:38.000Z | 2021-03-25T01:11:15.000Z | # encoding: utf-8
# pylint: disable=invalid-name,wrong-import-position
"""
本项目Invoke Task的入口
基本上是frol/flask-restplus-server-example的一个翻版，
很多都是沿用的frol的配置，然后做了优化与汉化。
出处：https://github.com/frol/flask-restplus-server-example
"""
import os
import platform
from invoke import Collection
from invoke.executor import Executor... | 22.302326 | 88 | 0.68196 |
366a799ddfcc2bf8bb387e248143f17a87bbf047 | 9,655 | py | Python | pypy/jit/tool/traceviewer.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | 1 | 2020-01-21T11:10:51.000Z | 2020-01-21T11:10:51.000Z | pypy/jit/tool/traceviewer.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | null | null | null | pypy/jit/tool/traceviewer.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
""" Usage: traceviewer.py [--use-threshold] loopfile
"""
import optparse
import sys
import re
import math
import py
import autopath
from pypy.translator.tool.graphpage import GraphPage
from pypy.translator.tool.make_dot import DotGen
from pypy.tool import logparser
from pypy.tool import progress... | 33.877193 | 83 | 0.567478 |
6f2a0109512e0716106e805c16b2fd3114fcfac7 | 2,681 | py | Python | day04/day04.py | imrehg/AdventOfCode2020 | 6aa5bf122fdff33f2ff97b1652ecea7f3fbb679c | [
"MIT"
] | null | null | null | day04/day04.py | imrehg/AdventOfCode2020 | 6aa5bf122fdff33f2ff97b1652ecea7f3fbb679c | [
"MIT"
] | null | null | null | day04/day04.py | imrehg/AdventOfCode2020 | 6aa5bf122fdff33f2ff97b1652ecea7f3fbb679c | [
"MIT"
] | null | null | null | import sys
import re
required_fields = {"byr", "iyr", "eyr", "hgt", "hcl", "ecl", "pid"}
def basic_validate(passports, required_fields):
count = 0
for passport in passports:
fields = set(passport.keys())
missing_required_fields = required_fields - fields
count += 1 if not missing_requ... | 26.284314 | 88 | 0.490862 |
ca156ef5783f48914def1592feaf5a7219aa8baf | 1,972 | py | Python | Rust/Hangperson/h04.py | lerina/drills | d7f374adec683a699c4dfd100985482e6717fda2 | [
"MIT"
] | null | null | null | Rust/Hangperson/h04.py | lerina/drills | d7f374adec683a699c4dfd100985482e6717fda2 | [
"MIT"
] | null | null | null | Rust/Hangperson/h04.py | lerina/drills | d7f374adec683a699c4dfd100985482e6717fda2 | [
"MIT"
] | null | null | null | #Step 4
import random
stages = ['''
+---+
| |
O |
/|\ |
/ \ |
|
=========
''', '''
+---+
| |
O |
/|\ |
/ |
|
=========
''', '''
+---+
| |
O |
/|\ |
|
|
=========
''', '''
+---+
| |
O |
/| |
|
|
=========''', '''
+---+
| |... | 17.607143 | 122 | 0.49645 |
98eab368f575087ab5b51209fedc08e55ca61e58 | 837 | py | Python | 30_day_leetcoding_challenge/2021_09/30-Partition_to_K_Equal_Sum_Subsets.py | QuenLo/leecode | ce861103949510dc54fd5cb336bd992c40748de2 | [
"MIT"
] | 6 | 2018-06-13T06:48:42.000Z | 2020-11-25T10:48:13.000Z | 30_day_leetcoding_challenge/2021_09/30-Partition_to_K_Equal_Sum_Subsets.py | QuenLo/leecode | ce861103949510dc54fd5cb336bd992c40748de2 | [
"MIT"
] | null | null | null | 30_day_leetcoding_challenge/2021_09/30-Partition_to_K_Equal_Sum_Subsets.py | QuenLo/leecode | ce861103949510dc54fd5cb336bd992c40748de2 | [
"MIT"
] | null | null | null | class Solution:
def canPartitionKSubsets(self, nums: List[int], k: int) -> bool:
total = sum(nums)
if (total % k) > 0: return False
sub_total = total // 4
visited = [False]*len(nums)
nums = sorted(nums)
return self.calling( nums, visited, 0,... | 33.48 | 92 | 0.53644 |
d5a77f40a3cd7488e91f28933388bc257e634e1a | 4,687 | py | Python | ShoeStore/authen/forms.py | TrongPhuCBL49/Shoe-Store-Django | 6dff4cf34783fe3504d06504a00022ccce06cb88 | [
"bzip2-1.0.6"
] | null | null | null | ShoeStore/authen/forms.py | TrongPhuCBL49/Shoe-Store-Django | 6dff4cf34783fe3504d06504a00022ccce06cb88 | [
"bzip2-1.0.6"
] | null | null | null | ShoeStore/authen/forms.py | TrongPhuCBL49/Shoe-Store-Django | 6dff4cf34783fe3504d06504a00022ccce06cb88 | [
"bzip2-1.0.6"
] | null | null | null | from django import forms
from django.forms import ModelForm
from django.contrib.auth import get_user_model
from .models import CustomerUser
from django.utils.translation import gettext_lazy as _
from django.core.exceptions import NON_FIELD_ERRORS
User = get_user_model()
class LoginForm(forms.Form):
username = fo... | 30.633987 | 74 | 0.546192 |
089138ad89274d7bc2778c69157ced27ae8329f4 | 3,255 | py | Python | pytorch_toolbelt/modules/agn.py | ternaus/pytorch-toolbelt | a952882bae1ded4f9a583cbdf87ba6f335ef3abf | [
"MIT"
] | 3 | 2019-10-02T04:05:57.000Z | 2020-01-13T02:26:09.000Z | pytorch_toolbelt/modules/agn.py | ternaus/pytorch-toolbelt | a952882bae1ded4f9a583cbdf87ba6f335ef3abf | [
"MIT"
] | null | null | null | pytorch_toolbelt/modules/agn.py | ternaus/pytorch-toolbelt | a952882bae1ded4f9a583cbdf87ba6f335ef3abf | [
"MIT"
] | 1 | 2019-12-02T05:40:03.000Z | 2019-12-02T05:40:03.000Z | import torch
import torch.nn as nn
import torch.nn.functional as functional
from pytorch_toolbelt.modules.activations import ACT_LEAKY_RELU, ACT_NONE, \
ACT_HARD_SIGMOID, ACT_HARD_SWISH, ACT_SWISH, ACT_SELU, ACT_ELU, ACT_RELU6, \
ACT_RELU, hard_swish, hard_sigmoid, swish
__all__ = ['AGN']
class AGN(nn.Module... | 36.573034 | 87 | 0.603379 |
fa531f150f2d30304c34da181a2b2bdd277f8f39 | 5,446 | py | Python | wrapper/gf.py | sniemi/SamPy | e048756feca67197cf5f995afd7d75d8286e017b | [
"BSD-2-Clause"
] | 5 | 2016-05-28T14:12:28.000Z | 2021-04-22T10:23:12.000Z | wrapper/gf.py | sniemi/SamPy | e048756feca67197cf5f995afd7d75d8286e017b | [
"BSD-2-Clause"
] | null | null | null | wrapper/gf.py | sniemi/SamPy | e048756feca67197cf5f995afd7d75d8286e017b | [
"BSD-2-Clause"
] | 2 | 2015-07-13T10:04:10.000Z | 2021-04-22T10:23:23.000Z | """
This little wrapper can be used to run GF (R. Somerville's SAMs program) using threading.
:author: Sami-Matias Niemi
:contact: niemi@stsci.edu
:note: Threading is not really the best way to do this.
Instead, one should use multiprocessing to launch
several processes.
"""
import glob as g
import os
i... | 32.035294 | 115 | 0.560779 |
092a144b7b05d6b74a74b7b4551e7dd59dbe7d13 | 2,295 | py | Python | phantasy/tests/test_miscutils.py | archman/phantasy | ac362cd3a80f7d1cfc68c0722f8a4aad504d1edd | [
"BSD-3-Clause"
] | null | null | null | phantasy/tests/test_miscutils.py | archman/phantasy | ac362cd3a80f7d1cfc68c0722f8a4aad504d1edd | [
"BSD-3-Clause"
] | 1 | 2017-07-11T12:30:58.000Z | 2018-01-04T19:39:59.000Z | phantasy/tests/test_miscutils.py | archman/phantasy | ac362cd3a80f7d1cfc68c0722f8a4aad504d1edd | [
"BSD-3-Clause"
] | 1 | 2018-09-27T17:03:32.000Z | 2018-09-27T17:03:32.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Unittest for miscutils module
:author: Tong Zhang <zhangt@frib.msu.edu>
:date: 2016-11-22 11:52:21 AM EST
"""
import unittest
import numpy as np
from phantasy.library.misc import miscutils
import os
curdir = os.path.abspath(os.path.dirname(__file__))
class TestMisc... | 27 | 67 | 0.525926 |
ba0685f4f2ec8ce113818b63f2b2d5e92653ab63 | 19,368 | py | Python | utils.py | Neukiru/spell-checkr | 6a3892d9d8a0268005d3f82c288e460fbb15f035 | [
"MIT"
] | null | null | null | utils.py | Neukiru/spell-checkr | 6a3892d9d8a0268005d3f82c288e460fbb15f035 | [
"MIT"
] | null | null | null | utils.py | Neukiru/spell-checkr | 6a3892d9d8a0268005d3f82c288e460fbb15f035 | [
"MIT"
] | null | null | null | import re
import io
import os
import regex as re
from itertools import islice
import numpy as np
from keras.models import Model, load_model
from keras.layers import Input
from model import truncated_acc, truncated_loss
np.random.seed(1234)
SOS = '\t' # start of sequence.
EOS = '*' # end of sequence.
CHARS = list('... | 40.947146 | 135 | 0.62562 |
c66d0b1d0d2b245e6f10b5df4f61336b26f1d1dc | 5,402 | py | Python | src/dashboard/app_animation.py | drblahdblah/covid-19-analysis | abd6ed23a49bd1277708163cad0741c5b9f9698a | [
"MIT"
] | 3 | 2020-04-20T11:10:23.000Z | 2020-04-22T08:06:04.000Z | src/dashboard/app_animation.py | drblahdblah/covid-19-analysis | abd6ed23a49bd1277708163cad0741c5b9f9698a | [
"MIT"
] | null | null | null | src/dashboard/app_animation.py | drblahdblah/covid-19-analysis | abd6ed23a49bd1277708163cad0741c5b9f9698a | [
"MIT"
] | null | null | null | import plotly.graph_objects as go
from datetime import datetime
import pandas as pd
pd.set_option("display.max_columns", 500)
pd.set_option("display.max_rows", 1000)
pd.set_option("display.width", 1000)
url = "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv"
dataset = pd.read_csv(u... | 30.178771 | 92 | 0.501851 |
5178ca2dd39c4543a89f3c0d8d72afd987d5ad22 | 10,618 | py | Python | graphslam/pose/se2.py | Golbstein/python-graphslam | cccc022b2f5d797f6511bda9e7dd3a24af403016 | [
"MIT"
] | 97 | 2020-02-24T00:34:56.000Z | 2022-03-23T11:43:19.000Z | graphslam/pose/se2.py | Golbstein/python-graphslam | cccc022b2f5d797f6511bda9e7dd3a24af403016 | [
"MIT"
] | 3 | 2020-02-18T15:46:40.000Z | 2022-03-17T02:01:51.000Z | graphslam/pose/se2.py | Golbstein/python-graphslam | cccc022b2f5d797f6511bda9e7dd3a24af403016 | [
"MIT"
] | 13 | 2020-06-09T08:27:27.000Z | 2021-11-23T14:05:14.000Z | # Copyright (c) 2020 Jeff Irion and contributors
r"""Representation of a pose in :math:`SE(2)`.
"""
import math
import numpy as np
from .base_pose import BasePose
from ..util import neg_pi_to_pi
class PoseSE2(BasePose):
r"""A representation of a pose in :math:`SE(2)`.
Parameters
----------
posi... | 32.07855 | 224 | 0.437559 |
6a48cbd9786f026192a575a75f3b5e933e8faeae | 110,112 | py | Python | python/ray/data/dataset.py | spillai/ray | 8b4cb45088a170e37d7d92c2e8a3dacddf67e1bc | [
"Apache-2.0"
] | 1 | 2021-09-20T15:47:07.000Z | 2021-09-20T15:47:07.000Z | python/ray/data/dataset.py | spillai/ray | 8b4cb45088a170e37d7d92c2e8a3dacddf67e1bc | [
"Apache-2.0"
] | 52 | 2021-06-12T07:06:44.000Z | 2022-03-26T07:09:10.000Z | python/ray/data/dataset.py | spillai/ray | 8b4cb45088a170e37d7d92c2e8a3dacddf67e1bc | [
"Apache-2.0"
] | null | null | null | import logging
import time
from typing import List, Any, Callable, Iterator, Iterable, Generic, \
Dict, Optional, Union, TYPE_CHECKING, Tuple
from uuid import uuid4
if TYPE_CHECKING:
import pyarrow
import pandas
import mars
import modin
import dask
import pyspark
import ray.util.sgd
... | 40.964286 | 100 | 0.572308 |
b3e830905ac98e64a2097d47f31529f05cdea50f | 1,772 | py | Python | preprocess.py | Dumbledore-on-Strive/goodreads | 0de57174de4ee88399e71c4061d3dec3dd6480ae | [
"MIT"
] | null | null | null | preprocess.py | Dumbledore-on-Strive/goodreads | 0de57174de4ee88399e71c4061d3dec3dd6480ae | [
"MIT"
] | null | null | null | preprocess.py | Dumbledore-on-Strive/goodreads | 0de57174de4ee88399e71c4061d3dec3dd6480ae | [
"MIT"
] | 2 | 2021-04-13T07:57:57.000Z | 2021-04-14T16:39:00.000Z |
import pandas as pd
import numpy as np
from sklearn.preprocessing import MinMaxScaler
df = pd.read_csv("testing.csv")
df.columns
df = df.drop(['Unnamed: 0', 'place', 'url'], axis=1)
df = df.dropna()
df['num_pages'] = pd.to_numeric(df['num_pages'], downcast='integer')
df.head()
# Step 1: find min(avg_rating)
minValue... | 20.604651 | 86 | 0.638826 |
460f379ce9164b30f2cda4beffdc1a65bec47df0 | 14,494 | py | Python | test/test_librosa_compatibility.py | f0k/audio | b457cb711a9a849b1226ede93ae247cd1e06eddf | [
"BSD-2-Clause"
] | 2 | 2021-03-13T08:24:36.000Z | 2021-05-06T15:50:00.000Z | test/test_librosa_compatibility.py | f0k/audio | b457cb711a9a849b1226ede93ae247cd1e06eddf | [
"BSD-2-Clause"
] | null | null | null | test/test_librosa_compatibility.py | f0k/audio | b457cb711a9a849b1226ede93ae247cd1e06eddf | [
"BSD-2-Clause"
] | 1 | 2021-08-03T20:41:15.000Z | 2021-08-03T20:41:15.000Z | """Test suites for numerical compatibility with librosa"""
import os
import unittest
import torch
import torchaudio
import torchaudio.functional as F
from torchaudio.common_utils import IMPORT_LIBROSA
if IMPORT_LIBROSA:
import numpy as np
import librosa
import scipy
import pytest
import common_utils
c... | 41.411429 | 118 | 0.647854 |
71c23fb66112c537460c6b6d208dbe089a22542d | 3,582 | py | Python | opentmi_client/api/event/Event.py | OpenTMI/opentmi-pyclient | 034c539d36fe13a2d6538ea421e4c01f00f5687d | [
"MIT"
] | null | null | null | opentmi_client/api/event/Event.py | OpenTMI/opentmi-pyclient | 034c539d36fe13a2d6538ea421e4c01f00f5687d | [
"MIT"
] | 36 | 2018-06-18T10:03:58.000Z | 2022-03-30T00:16:31.000Z | opentmi_client/api/event/Event.py | OpenTMI/opentmi-pyclient | 034c539d36fe13a2d6538ea421e4c01f00f5687d | [
"MIT"
] | 1 | 2019-04-17T08:49:24.000Z | 2019-04-17T08:49:24.000Z | """
OpenTMI module for Event
"""
from opentmi_client.utils.Base import BaseApi
from opentmi_client.utils.decorators import setter_rules
from opentmi_client.api.event.Priority import Priority
from opentmi_client.api.event.Ref import Ref
class Event(BaseApi):
"""
Event Class
"""
def __init__(self):
... | 20.011173 | 67 | 0.507259 |
0b56825f95d65b1e0278a1819cae0c9fe7baee3b | 76 | py | Python | test/really_simple_test.py | Ark-kun/strip-hints | aa2e217506f16999872439b03aaadf9a517e7389 | [
"MIT"
] | 29 | 2017-09-29T15:51:51.000Z | 2022-03-18T16:47:04.000Z | test/really_simple_test.py | Ark-kun/strip-hints | aa2e217506f16999872439b03aaadf9a517e7389 | [
"MIT"
] | 16 | 2018-06-18T19:54:36.000Z | 2021-12-04T01:37:52.000Z | test/really_simple_test.py | Ark-kun/strip-hints | aa2e217506f16999872439b03aaadf9a517e7389 | [
"MIT"
] | 4 | 2019-06-17T19:32:50.000Z | 2022-02-08T13:11:52.000Z |
def simp(x, y) -> int \
:
def q(x: int=4):
z: list=[3]
| 8.444444 | 23 | 0.355263 |
a4f27e0d4290ba6755a747beb08abc3695fc25e9 | 15,385 | py | Python | wtServer.py | jimboca/udi-WirelessSensorTags-poly | 0232c5df5b957b7675141965ebb732aa745a5dd5 | [
"MIT"
] | null | null | null | wtServer.py | jimboca/udi-WirelessSensorTags-poly | 0232c5df5b957b7675141965ebb732aa745a5dd5 | [
"MIT"
] | 25 | 2022-02-13T17:00:59.000Z | 2022-03-22T14:22:48.000Z | wtServer.py | jimboca/udi-WirelessSensorTags-poly | 0232c5df5b957b7675141965ebb732aa745a5dd5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Simple GET handler with BaseHTTPServer
"""
from http.server import HTTPServer,BaseHTTPRequestHandler
from urllib import parse
from urllib.parse import parse_qsl
import socket, threading, sys, requests, json, time
import netifaces as ni
class wtHandler(BaseHTTPRequestHandler):
def do... | 38.4625 | 119 | 0.578941 |
d73a51efc45fefc2e09c5662c7c6238c54372085 | 2,632 | py | Python | experiments/shakespeare_experiments/shakespeare_fedavg_hs.py | M4rukku/impact_of_non_iid_data_in_federated_learning | c818db03699c82e42217d56f8ddd4cc2081c8bb1 | [
"MIT"
] | null | null | null | experiments/shakespeare_experiments/shakespeare_fedavg_hs.py | M4rukku/impact_of_non_iid_data_in_federated_learning | c818db03699c82e42217d56f8ddd4cc2081c8bb1 | [
"MIT"
] | null | null | null | experiments/shakespeare_experiments/shakespeare_fedavg_hs.py | M4rukku/impact_of_non_iid_data_in_federated_learning | c818db03699c82e42217d56f8ddd4cc2081c8bb1 | [
"MIT"
] | null | null | null | import functools
import math
from pathlib import Path
from sources.simulators.serial_execution_simulator import \
SerialExecutionSimulator
from experiments.shakespeare_experiments.shakespeare_metadata_providers import \
SHAKESPEARE_BASE_METADATA_HYPERPARAMETER_SEARCH_PROVIDER
from sources.datasets.shakespeare... | 37.070423 | 96 | 0.789894 |
6b8466ed14255cedad0298cdedffb7eec0da4db7 | 2,416 | py | Python | test.py | ygs1985ygs/pyalgotrade3 | 5481c214891b7bd8ca76fee4e3f5cfcbb9f9de4e | [
"Apache-2.0"
] | 23 | 2017-06-07T04:36:38.000Z | 2021-11-09T10:39:54.000Z | test.py | ygs1985ygs/pyalgotrade3 | 5481c214891b7bd8ca76fee4e3f5cfcbb9f9de4e | [
"Apache-2.0"
] | 1 | 2018-03-29T16:25:54.000Z | 2018-03-29T16:25:54.000Z | test.py | ygs1985ygs/pyalgotrade3 | 5481c214891b7bd8ca76fee4e3f5cfcbb9f9de4e | [
"Apache-2.0"
] | 12 | 2017-03-29T08:35:32.000Z | 2020-02-08T04:01:03.000Z | from pyalgotrade import strategy
from pyalgotrade.barfeed import yahoofeed
from pyalgotrade.technical import ma
class MyStrategy(strategy.BacktestingStrategy):
def __init__(self, feed, instrument, smaPeriod):
super(MyStrategy, self).__init__(feed, 1000)
self.__position = None
self.__instru... | 38.967742 | 183 | 0.662252 |
afaf2ff40dc4ae1f06e92e447db61ea01724ac36 | 6,183 | py | Python | tests/contrib/hooks/test_azure_container_instance_hook.py | FlyrInc/airflow-1 | 74b22337b45a1eb25585d52e35694e6b0eb81f03 | [
"Apache-2.0"
] | 2 | 2019-01-26T06:04:11.000Z | 2019-01-26T12:54:21.000Z | tests/contrib/hooks/test_azure_container_instance_hook.py | FlyrInc/airflow-1 | 74b22337b45a1eb25585d52e35694e6b0eb81f03 | [
"Apache-2.0"
] | 6 | 2020-07-07T20:21:26.000Z | 2021-09-29T17:29:29.000Z | tests/contrib/hooks/test_azure_container_instance_hook.py | FlyrInc/airflow-1 | 74b22337b45a1eb25585d52e35694e6b0eb81f03 | [
"Apache-2.0"
] | 2 | 2020-04-24T10:51:17.000Z | 2020-05-26T01:50:29.000Z | # -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
#... | 49.464 | 102 | 0.652434 |
ad466882c542ecefeda831dfda72cf230172ee42 | 65 | py | Python | pychord/constants/__init__.py | hejops/pychord | ae5d0585c5df95c98517c1fb5351b8b2815c8b8c | [
"MIT"
] | 1 | 2021-10-08T00:18:38.000Z | 2021-10-08T00:18:38.000Z | pychord/constants/__init__.py | hejops/pychord | ae5d0585c5df95c98517c1fb5351b8b2815c8b8c | [
"MIT"
] | null | null | null | pychord/constants/__init__.py | hejops/pychord | ae5d0585c5df95c98517c1fb5351b8b2815c8b8c | [
"MIT"
] | null | null | null | from .scales import NOTE_VAL_DICT, VAL_NOTE_DICT, SCALE_VAL_DICT
| 32.5 | 64 | 0.861538 |
3fee8f27ad05c3a2477364cdf051b81be65e05f7 | 3,177 | py | Python | src/primaires/joueur/masques/encodage/__init__.py | stormi/tsunami | bdc853229834b52b2ee8ed54a3161a1a3133d926 | [
"BSD-3-Clause"
] | null | null | null | src/primaires/joueur/masques/encodage/__init__.py | stormi/tsunami | bdc853229834b52b2ee8ed54a3161a1a3133d926 | [
"BSD-3-Clause"
] | null | null | null | src/primaires/joueur/masques/encodage/__init__.py | stormi/tsunami | bdc853229834b52b2ee8ed54a3161a1a3133d926 | [
"BSD-3-Clause"
] | null | null | null | # -*-coding:Utf-8 -*
# Copyright (c) 2010 LE GOFF Vincent
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# l... | 38.743902 | 79 | 0.696569 |
d42f95971fc1011f089b30b114160d78763e0e10 | 5,627 | py | Python | hs_geographic_feature_resource/forms.py | hydroshare/hydroshare | bf9888bbe61507aff070b1dfcec2fdec1921468d | [
"BSD-3-Clause"
] | 178 | 2015-01-08T23:03:36.000Z | 2022-03-03T13:56:45.000Z | hs_geographic_feature_resource/forms.py | hydroshare/hydroshare | bf9888bbe61507aff070b1dfcec2fdec1921468d | [
"BSD-3-Clause"
] | 4,125 | 2015-01-01T14:26:15.000Z | 2022-03-31T16:38:55.000Z | hs_geographic_feature_resource/forms.py | hydroshare/hydroshare | bf9888bbe61507aff070b1dfcec2fdec1921468d | [
"BSD-3-Clause"
] | 53 | 2015-03-15T17:56:51.000Z | 2022-03-17T00:32:16.000Z | from django import forms
from crispy_forms.layout import Layout
from hs_core.forms import BaseFormHelper, get_crispy_form_fields
class OriginalCoverageFormHelper(BaseFormHelper):
def __init__(self, allow_edit=True, res_short_id=None,
element_id=None, element_name=None, *args, **kwargs):
#... | 48.508621 | 98 | 0.638884 |
53c4f4ceb71c01a3fdf458233c57b5b7ba00823f | 7,027 | py | Python | src/GrainGenerator_noInterseptions.py | dkagramanyan/dkagramanyan-WC-Co_computer_vision | 74eece7ded37d33ff6cb38cf50d1c99ea27d7468 | [
"MIT"
] | null | null | null | src/GrainGenerator_noInterseptions.py | dkagramanyan/dkagramanyan-WC-Co_computer_vision | 74eece7ded37d33ff6cb38cf50d1c99ea27d7468 | [
"MIT"
] | null | null | null | src/GrainGenerator_noInterseptions.py | dkagramanyan/dkagramanyan-WC-Co_computer_vision | 74eece7ded37d33ff6cb38cf50d1c99ea27d7468 | [
"MIT"
] | null | null | null | import bpy
from random import random
from mathutils import Vector, Euler
import math
#единицы измерения - метры
#checks if 2 cubes are intersepting using their coordinates and rotations
def ifIntersept(loc1, loc2, rot1, rot2, size):
#creates a list of coordinates of every vertice
coord_list_1 = []
coord_... | 34.787129 | 132 | 0.59556 |
985e5025870be87e21427b8e8be741ea2078eb6e | 3,916 | py | Python | recipes/h5pp/all/conanfile.py | dyndrite/conan-center-index | 106b5c2f532d5129e7ca1997e29e4e105bb3018c | [
"MIT"
] | null | null | null | recipes/h5pp/all/conanfile.py | dyndrite/conan-center-index | 106b5c2f532d5129e7ca1997e29e4e105bb3018c | [
"MIT"
] | null | null | null | recipes/h5pp/all/conanfile.py | dyndrite/conan-center-index | 106b5c2f532d5129e7ca1997e29e4e105bb3018c | [
"MIT"
] | null | null | null | from conan.tools.microsoft import is_msvc
from conans import ConanFile, tools
from conans.errors import ConanInvalidConfiguration
import os
required_conan_version = ">=1.45.0"
class H5ppConan(ConanFile):
name = "h5pp"
description = "A C++17 wrapper for HDF5 with focus on simplicity"
url = "https://github... | 46.070588 | 125 | 0.658069 |
0216067a03dfff688458571df3f4aec893a04b4c | 209 | py | Python | totall/totall/doctype/caja/test_caja.py | dacosta2213/totall | c64420bb8d35ccf423fe8ea66321b34431f79660 | [
"MIT"
] | null | null | null | totall/totall/doctype/caja/test_caja.py | dacosta2213/totall | c64420bb8d35ccf423fe8ea66321b34431f79660 | [
"MIT"
] | null | null | null | totall/totall/doctype/caja/test_caja.py | dacosta2213/totall | c64420bb8d35ccf423fe8ea66321b34431f79660 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2017, C0D1G0 B1NAR10 and Contributors
# See license.txt
from __future__ import unicode_literals
import frappe
import unittest
class TestCaja(unittest.TestCase):
pass
| 19 | 53 | 0.76555 |
0952b004ec00f1f61b90453daa249ca61209696e | 264,328 | py | Python | lib/GUI/ScrolledPanels/Management.py | Connor22/hydrus | d0ae4a8898742a0d13601e1167d5ba697b31c395 | [
"WTFPL"
] | null | null | null | lib/GUI/ScrolledPanels/Management.py | Connor22/hydrus | d0ae4a8898742a0d13601e1167d5ba697b31c395 | [
"WTFPL"
] | null | null | null | lib/GUI/ScrolledPanels/Management.py | Connor22/hydrus | d0ae4a8898742a0d13601e1167d5ba697b31c395 | [
"WTFPL"
] | null | null | null | from . import ClientCaches
from . import ClientConstants as CC
from . import ClientData
from . import ClientDefaults
from . import ClientDownloading
from . import ClientGUIACDropdown
from . import ClientGUICommon
from . import ClientGUIControls
from . import ClientGUIDialogs
from . import ClientGUIDialogsQuick
from . i... | 45.184274 | 536 | 0.555526 |
4b5c4d092833d03034b30338774f18b90ce1f956 | 3,592 | py | Python | data_handler/LLD.py | demetoir/ALLGANS | 2f972db5e9a65f18aee0695d817f4acc221e54da | [
"MIT"
] | 11 | 2018-01-25T15:31:54.000Z | 2019-12-17T06:12:57.000Z | data_handler/LLD.py | demetoir/ALLGANs | 2f972db5e9a65f18aee0695d817f4acc221e54da | [
"MIT"
] | 19 | 2018-01-29T16:12:09.000Z | 2018-02-15T15:56:48.000Z | data_handler/LLD.py | demetoir/ALLGANs | 2f972db5e9a65f18aee0695d817f4acc221e54da | [
"MIT"
] | 2 | 2018-02-06T00:31:55.000Z | 2018-02-19T15:29:10.000Z | from __future__ import division
from glob import glob
from PIL import Image
from data_handler.AbstractDataset import AbstractDataset, DownloadInfo, AbstractDatasetHelper
from dict_keys.dataset_batch_keys import *
from env_settting import LLD_PATH
from dict_keys.input_shape_keys import *
import _pickle as cPickle... | 34.873786 | 121 | 0.583241 |
4f1e69a286802c88a746ec1fc519c38b59bb6b16 | 2,363 | py | Python | basic/list2.py | tyagow/google-python-exercises | 7036293c5f2b1740ce646b300267b71e6d3d642a | [
"Apache-2.0"
] | 1 | 2019-07-05T12:24:15.000Z | 2019-07-05T12:24:15.000Z | basic/list2.py | tyagow/google-python-exercises | 7036293c5f2b1740ce646b300267b71e6d3d642a | [
"Apache-2.0"
] | null | null | null | basic/list2.py | tyagow/google-python-exercises | 7036293c5f2b1740ce646b300267b71e6d3d642a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python -tt
# Copyright 2010 Google Inc.
# Licensed under the Apache License, Version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
# Google's Python Class
# http://code.google.com/edu/languages/google-python-class/
# Additional basic list exercises
# D. Given a list of numbers, return a list where
# a... | 32.819444 | 79 | 0.646212 |
03427b2e5d016a10246c195dbab951874618b4aa | 2,177 | py | Python | twint/storage/write.py | recurrence/twint | c434115d21fd244f8fcfd987ae048a1a4fac6f74 | [
"MIT"
] | null | null | null | twint/storage/write.py | recurrence/twint | c434115d21fd244f8fcfd987ae048a1a4fac6f74 | [
"MIT"
] | null | null | null | twint/storage/write.py | recurrence/twint | c434115d21fd244f8fcfd987ae048a1a4fac6f74 | [
"MIT"
] | null | null | null | from . import write_meta as meta
import csv
import json
import os
def outputExt(objType, fType):
if objType == "str":
objType = "username"
outExt = f"/{objType}s.{fType}"
return outExt
def addExt(base, objType, fType):
if len(base.split('.')) == 1:
createDirIfMissing(base)
bas... | 27.910256 | 85 | 0.625172 |
7bfc51bceb2edf6f217cb2066adea045231daf11 | 5,738 | py | Python | PythonAPI/carissma_project/lib/python3.5/site-packages/matplotlib/backends/backend_mixed.py | AbdulHoffmann/carla_carissma | 8d382769ffa02a6c61a22c57160285505f5ff0a4 | [
"MIT"
] | 445 | 2019-01-26T13:50:26.000Z | 2022-03-18T05:17:38.000Z | venv/lib/python3.7/site-packages/matplotlib/backends/backend_mixed.py | John1001Song/Big-Data-Robo-Adviser | 9444dce96954c546333d5aecc92a06c3bfd19aa5 | [
"MIT"
] | 242 | 2019-01-29T15:48:27.000Z | 2022-03-31T22:09:21.000Z | venv/lib/python3.7/site-packages/matplotlib/backends/backend_mixed.py | John1001Song/Big-Data-Robo-Adviser | 9444dce96954c546333d5aecc92a06c3bfd19aa5 | [
"MIT"
] | 64 | 2018-04-25T08:51:57.000Z | 2022-01-29T14:13:57.000Z | import numpy as np
from matplotlib.backends.backend_agg import RendererAgg
from matplotlib.tight_bbox import process_figure_for_rasterizing
class MixedModeRenderer(object):
"""
A helper class to implement a renderer that switches between
vector and raster drawing. An example may be a PDF writer, where
... | 38 | 79 | 0.623736 |
98436138ed4e5cd91b990b7c928fa465393531af | 863 | py | Python | p_library/admin.py | StalingradTeam/my_library | ec9f43acb548a1552c8f64785d3a040390e91ae1 | [
"MIT"
] | null | null | null | p_library/admin.py | StalingradTeam/my_library | ec9f43acb548a1552c8f64785d3a040390e91ae1 | [
"MIT"
] | null | null | null | p_library/admin.py | StalingradTeam/my_library | ec9f43acb548a1552c8f64785d3a040390e91ae1 | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
from django.contrib import admin
from p_library.models import Book, Author, Publisher
@admin.register(Author)
class BookAdmin(admin.ModelAdmin):
fields = ('full_name', 'birth_year', 'country', )
@staticmethod
def author_full_name(... | 25.382353 | 110 | 0.677868 |
9a24a278b13ec83fa9bdba924f62afa00a9dd766 | 11,478 | py | Python | waveorder/io/multipagetiff.py | mehta-lab/waveorder | 9892c20955d3487778fd440a0d7f4f86334e7b8e | [
"Unlicense"
] | 2 | 2020-12-19T02:55:09.000Z | 2022-02-24T19:40:26.000Z | waveorder/io/multipagetiff.py | mehta-lab/waveorder | 9892c20955d3487778fd440a0d7f4f86334e7b8e | [
"Unlicense"
] | 42 | 2021-01-20T22:34:14.000Z | 2022-03-31T00:13:37.000Z | waveorder/io/multipagetiff.py | mehta-lab/waveorder | 9892c20955d3487778fd440a0d7f4f86334e7b8e | [
"Unlicense"
] | null | null | null | import numpy as np
import os
import zarr
from tifffile import TiffFile
import tifffile as tiff
from copy import copy
import glob
import warnings
from waveorder.io.reader_interface import ReaderInterface
class MicromanagerOmeTiffReader(ReaderInterface):
def __init__(self, folder: str, extract_data: bool = False):... | 30.205263 | 112 | 0.533368 |
d3dde661949bde9817a393e00bab0a0cf7acfe41 | 779 | py | Python | cws/node.py | mattianeroni/clarke-wright-savings | b418bfbef060f662b09f73b70b8a5e7d03612bc2 | [
"MIT"
] | 1 | 2022-03-31T07:16:14.000Z | 2022-03-31T07:16:14.000Z | cws/node.py | mattianeroni/clarke-wright-savings | b418bfbef060f662b09f73b70b8a5e7d03612bc2 | [
"MIT"
] | null | null | null | cws/node.py | mattianeroni/clarke-wright-savings | b418bfbef060f662b09f73b70b8a5e7d03612bc2 | [
"MIT"
] | null | null | null | import abc
class Node (abc.ABC):
"""
The class that inherits from this one
inherits all the attributes and methods
needed to work as an Node of the graph
on which the Clarke Wright Savings heuristic
is going to be computed.
"""
def __init__(self, id, dn_edge, nd_edge):
"""
... | 26.862069 | 72 | 0.599487 |
5d720a24663bfe1abbe39f12e5e54e0d8cbcf606 | 261 | py | Python | pibackbone/__init__.py | anarkiwi/pibackbone | 8677da0a7fb93fe86cd4459b0ad8ce3c5d5af90f | [
"Apache-2.0"
] | null | null | null | pibackbone/__init__.py | anarkiwi/pibackbone | 8677da0a7fb93fe86cd4459b0ad8ce3c5d5af90f | [
"Apache-2.0"
] | 29 | 2022-03-22T20:20:50.000Z | 2022-03-31T23:12:51.000Z | pibackbone/__init__.py | anarkiwi/pibackbone | 8677da0a7fb93fe86cd4459b0ad8ce3c5d5af90f | [
"Apache-2.0"
] | 2 | 2022-03-22T16:24:59.000Z | 2022-03-31T20:25:27.000Z | import pkg_resources
from pbr.version import VersionInfo
pkg_resources.declare_namespace(__name__)
# TODO: 3.8+ and later, use importlib: https://pypi.org/project/importlib-metadata/
__version__ = VersionInfo('pibackbone').semantic_version().release_string()
| 32.625 | 83 | 0.812261 |
edd5f00d3d06e4d8d3b626fd9279d39c271e964c | 10,881 | py | Python | mmdet3d/core/bbox/structures/coord_3d_mode.py | gopi231091/mmdetection3d | 1b2e64cd75c8d1c238c61a3bc1e3c62a7d403b53 | [
"Apache-2.0"
] | 217 | 2021-12-10T09:44:33.000Z | 2022-03-31T16:17:35.000Z | mmdet3d/core/bbox/structures/coord_3d_mode.py | gopi231091/mmdetection3d | 1b2e64cd75c8d1c238c61a3bc1e3c62a7d403b53 | [
"Apache-2.0"
] | 22 | 2021-12-29T08:57:31.000Z | 2022-03-31T11:21:53.000Z | mmdet3d/core/bbox/structures/coord_3d_mode.py | gopi231091/mmdetection3d | 1b2e64cd75c8d1c238c61a3bc1e3c62a7d403b53 | [
"Apache-2.0"
] | 23 | 2021-12-13T06:56:38.000Z | 2022-03-28T02:02:13.000Z | import numpy as np
import torch
from enum import IntEnum, unique
from mmdet3d.core.points import (BasePoints, CameraPoints, DepthPoints,
LiDARPoints)
from .base_box3d import BaseInstance3DBoxes
from .cam_box3d import CameraInstance3DBoxes
from .depth_box3d import DepthInstance3DBoxes
f... | 38.72242 | 79 | 0.531201 |
6a93f9fa560ce7397320678a35a7325cfd3731dd | 362 | py | Python | unittests/__init__.py | xinranduan/mpc-forest | e93bee948daeda80d956df210b2057db41698ac9 | [
"BSD-3-Clause"
] | null | null | null | unittests/__init__.py | xinranduan/mpc-forest | e93bee948daeda80d956df210b2057db41698ac9 | [
"BSD-3-Clause"
] | null | null | null | unittests/__init__.py | xinranduan/mpc-forest | e93bee948daeda80d956df210b2057db41698ac9 | [
"BSD-3-Clause"
] | null | null | null | """
Copyright (c) 2017 Eric Shook. All rights reserved.
Use of this source code is governed by a BSD-style license that can be found in the LICENSE file.
@author: eshook (Eric Shook, eshook@gmail.edu)
@contributors: <Contribute and add your name here!>
"""
# Import unittests
from .test_Bob import *
from .test_Bobs imp... | 32.909091 | 97 | 0.759669 |
56145a865723ea952cb0e4370da40229117d4716 | 11,607 | py | Python | magenta/models/performance_rnn/performance_rnn_generate.py | fanzhiyan/magenta | 622c47c19bb84c6f57b286ed03b738516b2f27d6 | [
"Apache-2.0"
] | 16 | 2016-09-02T04:59:30.000Z | 2022-01-11T10:38:29.000Z | magenta/models/performance_rnn/performance_rnn_generate.py | fanzhiyan/magenta | 622c47c19bb84c6f57b286ed03b738516b2f27d6 | [
"Apache-2.0"
] | 2 | 2016-09-25T16:39:59.000Z | 2016-11-18T17:43:41.000Z | magenta/models/performance_rnn/performance_rnn_generate.py | fanzhiyan/magenta | 622c47c19bb84c6f57b286ed03b738516b2f27d6 | [
"Apache-2.0"
] | 10 | 2016-09-02T04:59:32.000Z | 2021-09-29T06:57:24.000Z | # Copyright 2019 The Magenta Authors.
#
# 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 ... | 39.479592 | 80 | 0.740329 |
fd481f2c805f7187ebc0b5e0ca4c28fa8d5ca5f9 | 13,343 | py | Python | processes.py | GNUBrinux/pilot | 18d0ef3ea9822df7877fbe39b191f56a6288ada5 | [
"Apache-2.0"
] | 13 | 2015-02-19T17:17:10.000Z | 2021-12-22T06:48:02.000Z | processes.py | GNUBrinux/pilot | 18d0ef3ea9822df7877fbe39b191f56a6288ada5 | [
"Apache-2.0"
] | 85 | 2015-01-06T15:01:51.000Z | 2018-11-29T09:03:35.000Z | processes.py | GNUBrinux/pilot | 18d0ef3ea9822df7877fbe39b191f56a6288ada5 | [
"Apache-2.0"
] | 22 | 2015-06-09T12:08:29.000Z | 2018-11-20T10:07:01.000Z | import commands
import os
import signal
import time
import re
import pUtil
def findProcessesInGroup(cpids, pid):
""" recursively search for the children processes belonging to pid and return their pids
here pid is the parent pid for all the children to be found
cpids is a list that has to be initialized be... | 36.159892 | 187 | 0.548452 |
d0229a51c8b27cbf4a71fbf5779655d0d139d539 | 32,451 | py | Python | lib/flows/general/collectors.py | scudette/grr | d4257c5259af881e28a7d62e9837fa13352e2bf6 | [
"Apache-2.0"
] | 6 | 2015-04-03T02:25:28.000Z | 2021-11-17T21:42:59.000Z | lib/flows/general/collectors.py | scudette/grr | d4257c5259af881e28a7d62e9837fa13352e2bf6 | [
"Apache-2.0"
] | null | null | null | lib/flows/general/collectors.py | scudette/grr | d4257c5259af881e28a7d62e9837fa13352e2bf6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""Flows for handling the collection for artifacts."""
import logging
from grr.lib import aff4
from grr.lib import artifact
from grr.lib import artifact_lib
from grr.lib import config_lib
from grr.lib import flow
from grr.lib import parsers
from grr.lib import rdfvalue
class ArtifactCollectorF... | 40.921816 | 80 | 0.669286 |
38843947bb127403d90cd881f92aded85f9c6458 | 1,394 | py | Python | renmin/renmin/pipelines.py | dumin199101/Scrapy-Project | b4135beb73a2c5aad1728f747c1856266af649dd | [
"Apache-2.0"
] | 1 | 2019-07-11T03:28:25.000Z | 2019-07-11T03:28:25.000Z | renmin/renmin/pipelines.py | dumin199101/Scrapy-Project | b4135beb73a2c5aad1728f747c1856266af649dd | [
"Apache-2.0"
] | null | null | null | renmin/renmin/pipelines.py | dumin199101/Scrapy-Project | b4135beb73a2c5aad1728f747c1856266af649dd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import codecs
import json
import pymysql
class RenminPipeline(object):
# 1.数据写入json文件
# def __init__(self):
# ... | 32.418605 | 119 | 0.609756 |
d1142e294c2da2f32fde9900f5b85be9ec93cfe4 | 1,576 | py | Python | scripts/show_states.py | andrewjunyoung/symboard | 51591c0aaac8b5394fde8d97470bf584437a3842 | [
"MIT"
] | 5 | 2020-02-09T21:56:26.000Z | 2021-11-17T10:41:03.000Z | scripts/show_states.py | andrewjunyoung/symboard | 51591c0aaac8b5394fde8d97470bf584437a3842 | [
"MIT"
] | 2 | 2020-03-24T18:11:14.000Z | 2020-03-31T10:54:02.000Z | scripts/show_states.py | andrewjunyoung/symboard | 51591c0aaac8b5394fde8d97470bf584437a3842 | [
"MIT"
] | 1 | 2021-11-27T14:02:01.000Z | 2021-11-27T14:02:01.000Z | # Imports from third party packages.
from argparse import ArgumentParser
from tabulate import tabulate
from typing import List
import logging
# Imports from the local package.
from symboard.states import load_yaml
def get_arg_parser() -> ArgumentParser:
"""
Returns:
ArgumentParser: An ArgumentParser ... | 26.711864 | 80 | 0.686548 |
fc462e14150472acf9ae11e4322cacb78c89baf2 | 10,835 | py | Python | marketplaces/apps/market/migrations/0013_auto__add_field_marketsubcategory_image__add_field_marketcategory_imag.py | diassor/CollectorCity-Market-Place | 892ad220b8cf1c0fc7433f625213fe61729522b2 | [
"Apache-2.0"
] | 135 | 2015-03-19T13:28:18.000Z | 2022-03-27T06:41:42.000Z | marketplaces/apps/market/migrations/0013_auto__add_field_marketsubcategory_image__add_field_marketcategory_imag.py | dfcoding/CollectorCity-Market-Place | e59acec3d600c049323397b17cae14fdcaaaec07 | [
"Apache-2.0"
] | null | null | null | marketplaces/apps/market/migrations/0013_auto__add_field_marketsubcategory_image__add_field_marketcategory_imag.py | dfcoding/CollectorCity-Market-Place | e59acec3d600c049323397b17cae14fdcaaaec07 | [
"Apache-2.0"
] | 83 | 2015-01-30T01:00:15.000Z | 2022-03-08T17:25:10.000Z | # encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'MarketSubCategory.image'
db.add_column('market_marketsubcategory', 'image', self.gf('core.... | 69.455128 | 181 | 0.563359 |
2a1b63f0a2a9a6e0c4058ada0a02adbf1ae1e953 | 957 | py | Python | partnerships/forms.py | cforlando/intake | a5233d5c0f862f28ee265b9b4831405aabeec7e2 | [
"MIT"
] | 51 | 2016-07-20T02:26:57.000Z | 2021-07-07T14:45:06.000Z | partnerships/forms.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 1,091 | 2016-04-29T18:07:45.000Z | 2021-04-19T18:39:39.000Z | partnerships/forms.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 24 | 2016-06-14T18:10:43.000Z | 2021-11-14T20:26:39.000Z | from django.forms import ModelForm, widgets
from partnerships.models import PartnershipLead
def with_classes(widget_class, *classes, **kwargs):
attrs = kwargs.get('attrs', {})
class_ = attrs.get('class', '')
class_ += ' '.join(classes)
attrs.update({'class': class_})
kwargs.update({'attrs': attrs}... | 33 | 70 | 0.600836 |
657e45fe30c9a949aee6ae7d09eb7bd7c4b7c70d | 1,934 | py | Python | saver.py | Kirkados/DeepCube | cc6b8d402a47ea0c7ecde8e4c5ed2d361c539ad5 | [
"MIT"
] | 3 | 2019-01-10T01:06:04.000Z | 2021-10-31T18:19:50.000Z | saver.py | Kirkados/DeepCube | cc6b8d402a47ea0c7ecde8e4c5ed2d361c539ad5 | [
"MIT"
] | null | null | null | saver.py | Kirkados/DeepCube | cc6b8d402a47ea0c7ecde8e4c5ed2d361c539ad5 | [
"MIT"
] | null | null | null | """
This script saves and loads neural network parameters
"""
import os
import tensorflow as tf
from settings import Settings
class Saver:
def __init__(self, sess, filename):
self.sess = sess
self.filename = filename
def save(self, n_iteration):
# Save all the tensorflow... | 40.291667 | 130 | 0.59152 |
11d430a65df017caf3e08db3c96ef3215a6e801a | 11,736 | py | Python | virtual/lib/python3.6/site-packages/astroid/arguments.py | edithamadi/pitch_one | 40c8d1c67c77e483b29bd326721dde7f4a20120d | [
"Unlicense"
] | 3 | 2018-10-21T14:01:01.000Z | 2018-10-22T14:42:22.000Z | virtual/lib/python3.6/site-packages/astroid/arguments.py | edithamadi/pitch_one | 40c8d1c67c77e483b29bd326721dde7f4a20120d | [
"Unlicense"
] | 12 | 2018-10-03T19:45:36.000Z | 2022-03-11T23:54:25.000Z | virtual/lib/python3.6/site-packages/astroid/arguments.py | edithamadi/pitch_one | 40c8d1c67c77e483b29bd326721dde7f4a20120d | [
"Unlicense"
] | 3 | 2020-01-19T21:26:14.000Z | 2020-11-04T08:37:38.000Z | # Copyright (c) 2015-2016, 2018 Claudiu Popa <pcmanticore@gmail.com>
# Copyright (c) 2015-2016 Ceridwen <ceridwenv@gmail.com>
# Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com>
# Copyright (c) 2018 Nick Drozd <nicholasdrozd@gmail.com>
# Copyright (c) 2018 Anthony Sottile <asottile@umich.edu>
# Licensed un... | 44.793893 | 85 | 0.565099 |
36d563f984bf57abb771f8be3c8694da44a53597 | 1,783 | py | Python | wbia_pie_v2/losses/hard_mine_triplet_loss.py | dylanirion/wbia-plugin-pie-v2 | 8ae37c2ad218e5e888bb1aea039f1b04a3fe9d8d | [
"Apache-2.0"
] | null | null | null | wbia_pie_v2/losses/hard_mine_triplet_loss.py | dylanirion/wbia-plugin-pie-v2 | 8ae37c2ad218e5e888bb1aea039f1b04a3fe9d8d | [
"Apache-2.0"
] | null | null | null | wbia_pie_v2/losses/hard_mine_triplet_loss.py | dylanirion/wbia-plugin-pie-v2 | 8ae37c2ad218e5e888bb1aea039f1b04a3fe9d8d | [
"Apache-2.0"
] | 1 | 2021-04-05T23:46:11.000Z | 2021-04-05T23:46:11.000Z | # -*- coding: utf-8 -*-
from __future__ import division, absolute_import
import torch
import torch.nn as nn
class TripletLoss(nn.Module):
"""Triplet loss with hard positive/negative mining.
Reference:
Hermans et al. In Defense of the Triplet Loss for Person Re-Identification. arXiv:1703.07737.
I... | 35.66 | 101 | 0.626472 |
3d57792202f8057f39aa2a13fb39ca53efbb673b | 366 | py | Python | americas.py | 4bic-attic/data_viz | db1ef07712d7deaccea6d5509d5a281a5484ac0b | [
"MIT"
] | null | null | null | americas.py | 4bic-attic/data_viz | db1ef07712d7deaccea6d5509d5a281a5484ac0b | [
"MIT"
] | null | null | null | americas.py | 4bic-attic/data_viz | db1ef07712d7deaccea6d5509d5a281a5484ac0b | [
"MIT"
] | null | null | null | import pygal
from pygal.maps.world import World
wm = World()
wm.title = 'North, Central and South America'
wm.add('North America', ['ca', 'mx', 'us'])
wm.add('Cental America', ['bx', 'cr', 'gt', 'hn', 'ni', 'pa', 'sv'])
wm.add('South America', ['ar', 'bo', 'br', 'cl', 'co', 'ec', 'gf', 'gy',
'pe', 'py', 'sr', '... | 24.4 | 72 | 0.562842 |
76bb9ed328bc72991b306d0e4e0ebeaba1c7cb4f | 3,655 | py | Python | Scripts/simulation/drama_scheduler/club_gathering_drama_node.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/drama_scheduler/club_gathering_drama_node.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/drama_scheduler/club_gathering_drama_node.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\drama_scheduler\club_gathering_drama_node.py
# Compiled at: 2020-02-07 22:50:40
# Size of source mod... | 52.214286 | 132 | 0.697674 |
f8f83137f20a0abfac4233c1350174e3bc30dfeb | 4,219 | py | Python | ibmsecurity/isam/base/network/felb/attributes/advanced_tuning.py | mtrinh20/ibmsecurity | c084ac14322a03f582a31984ecfa9b4d6433f252 | [
"Apache-2.0"
] | 2 | 2019-12-05T13:51:10.000Z | 2019-12-20T08:02:35.000Z | ibmsecurity/isam/base/network/felb/attributes/advanced_tuning.py | harshalchemate/ibmsecurity | e3dd3f930bcd9f151e30eff0a394c50f98d3eccb | [
"Apache-2.0"
] | null | null | null | ibmsecurity/isam/base/network/felb/attributes/advanced_tuning.py | harshalchemate/ibmsecurity | e3dd3f930bcd9f151e30eff0a394c50f98d3eccb | [
"Apache-2.0"
] | null | null | null | import logging
from ibmsecurity.utilities import tools
logger = logging.getLogger(__name__)
module_uri = "/isam/felb/configuration/attributes"
requires_modules = None
requires_version = None
def add(isamAppliance, name, value, check_mode=False, force=False):
"""
Creates attribute
"""
if force is Tr... | 34.024194 | 117 | 0.624556 |
2def34c6b84cfe64dc6c7a5a2c3bda2a704467c2 | 3,642 | py | Python | searchs/RealBestTeams.py | iamtrex/TeamGenerator | fbfadb4ed78efb26e0358443a08d38353c2d7392 | [
"MIT"
] | 1 | 2020-07-21T06:37:45.000Z | 2020-07-21T06:37:45.000Z | searchs/RealBestTeams.py | iamtrex/TeamGenerator | fbfadb4ed78efb26e0358443a08d38353c2d7392 | [
"MIT"
] | 1 | 2020-07-21T06:43:07.000Z | 2020-07-21T06:43:07.000Z | searchs/RealBestTeams.py | iamtrex/TeamGenerator | fbfadb4ed78efb26e0358443a08d38353c2d7392 | [
"MIT"
] | null | null | null | from data import Const as C
from model import TeamSet as TS, Team as T
import itertools
import time
'''Class Def Player - Represents a Player with name, preferred roles, and rating at each role.'''
def get_score(obj):
return obj.score
def calc_best_n_team_sets(n):
# Track Time execution
time_start = t... | 33.722222 | 121 | 0.563152 |
3032b27d6768cd20ea4bc8270216bb29471113ce | 2,896 | py | Python | openmdao/test_suite/test_examples/beam_optimization/beam_group.py | naylor-b/blue | d7d7e8d63212c047a7a9b0625da98aa29ddc39b4 | [
"Apache-2.0"
] | null | null | null | openmdao/test_suite/test_examples/beam_optimization/beam_group.py | naylor-b/blue | d7d7e8d63212c047a7a9b0625da98aa29ddc39b4 | [
"Apache-2.0"
] | null | null | null | openmdao/test_suite/test_examples/beam_optimization/beam_group.py | naylor-b/blue | d7d7e8d63212c047a7a9b0625da98aa29ddc39b4 | [
"Apache-2.0"
] | null | null | null | from __future__ import division
import numpy as np
import openmdao.api as om
from openmdao.test_suite.test_examples.beam_optimization.components.moment_comp import MomentOfInertiaComp
from openmdao.test_suite.test_examples.beam_optimization.components.local_stiffness_matrix_comp import LocalStiffnessMatrixComp
from o... | 39.135135 | 127 | 0.706492 |
23a3bae65bfa7b4b4888b40642f0506cc7173b75 | 1,097 | py | Python | kubernetes/test/test_v2beta1_cross_version_object_reference.py | L3T/python | b6e4ae81a2afb49f668a142eb7d1c6e2571ef478 | [
"Apache-2.0"
] | 2 | 2020-06-21T08:03:18.000Z | 2020-06-21T09:53:29.000Z | kubernetes/test/test_v2beta1_cross_version_object_reference.py | L3T/python | b6e4ae81a2afb49f668a142eb7d1c6e2571ef478 | [
"Apache-2.0"
] | null | null | null | kubernetes/test/test_v2beta1_cross_version_object_reference.py | L3T/python | b6e4ae81a2afb49f668a142eb7d1c6e2571ef478 | [
"Apache-2.0"
] | 1 | 2020-12-10T07:28:08.000Z | 2020-12-10T07:28:08.000Z | # coding: utf-8
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: release-1.16
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import... | 27.425 | 132 | 0.758432 |
66c51ba021842b8169287c7f5684d4f32bcea963 | 698 | py | Python | Chapter03/mysite/blog/admin.py | HankSerg/Django-2-by-Example | 15409eda3ba99e53fc4e8d53793398f924d3fefe | [
"MIT"
] | 639 | 2018-05-31T22:28:21.000Z | 2022-03-21T16:49:47.000Z | Chapter03/mysite/blog/admin.py | HankSerg/Django-2-by-Example | 15409eda3ba99e53fc4e8d53793398f924d3fefe | [
"MIT"
] | 43 | 2018-06-26T06:56:28.000Z | 2022-03-31T18:32:57.000Z | Chapter03/mysite/blog/admin.py | HankSerg/Django-2-by-Example | 15409eda3ba99e53fc4e8d53793398f924d3fefe | [
"MIT"
] | 644 | 2018-06-10T22:37:24.000Z | 2022-03-04T18:34:01.000Z | from django.contrib import admin
from .models import Post, Comment
@admin.register(Post)
class PostAdmin(admin.ModelAdmin):
list_display = ('title', 'slug', 'author', 'publish',
'status')
list_filter = ('status', 'created', 'publish', 'author')
search_fields = ('title', 'body')
... | 31.727273 | 66 | 0.624642 |
bb8d7b8c63503b755b01ec4d6bd263ac17d97bc0 | 52,813 | py | Python | eucaconsole/views/scalinggroups.py | gholms/eucaconsole | 4629c961c90e3aae27e3a869a7f157bafeda6489 | [
"BSD-2-Clause"
] | null | null | null | eucaconsole/views/scalinggroups.py | gholms/eucaconsole | 4629c961c90e3aae27e3a869a7f157bafeda6489 | [
"BSD-2-Clause"
] | null | null | null | eucaconsole/views/scalinggroups.py | gholms/eucaconsole | 4629c961c90e3aae27e3a869a7f157bafeda6489 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2013-2016 Hewlett Packard Enterprise Development LP
#
# Redistribution and use of this software in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# Redistributions of source code must retain the above copyrig... | 49.823585 | 120 | 0.650143 |
d0bb662aa320551d72fe0100b8a030fc72b47934 | 2,701 | py | Python | calm/fix-missing-src-hint.py | jon-turney/calm | a9db642904aa406f08dddb06798b576ec14949b8 | [
"MIT"
] | 5 | 2016-03-18T22:12:31.000Z | 2022-02-02T16:01:52.000Z | calm/fix-missing-src-hint.py | jon-turney/calm | a9db642904aa406f08dddb06798b576ec14949b8 | [
"MIT"
] | null | null | null | calm/fix-missing-src-hint.py | jon-turney/calm | a9db642904aa406f08dddb06798b576ec14949b8 | [
"MIT"
] | 3 | 2016-03-21T12:54:16.000Z | 2022-03-06T09:41:06.000Z | #!/usr/bin/env python3
#
# Copyright (c) 2020 Jon Turney
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify,... | 33.7625 | 173 | 0.664198 |
6fb2783b26fe7b38c3e1cd535a7dff15f5df1f97 | 971 | py | Python | recipe_scrapers/foodrepublic.py | huskywhale/recipe-scraper | d5570d1d5203cfd8dca29f4f6e5f81e10997fdd2 | [
"MIT"
] | 14 | 2017-04-06T18:30:04.000Z | 2021-09-04T16:10:34.000Z | recipe_scrapers/foodrepublic.py | huskywhale/recipe-scraper | d5570d1d5203cfd8dca29f4f6e5f81e10997fdd2 | [
"MIT"
] | null | null | null | recipe_scrapers/foodrepublic.py | huskywhale/recipe-scraper | d5570d1d5203cfd8dca29f4f6e5f81e10997fdd2 | [
"MIT"
] | 12 | 2018-02-21T00:53:31.000Z | 2021-07-20T02:44:50.000Z | from ._abstract import AbstractScraper
from ._utils import get_minutes, normalize_string
class FoodRepublic(AbstractScraper):
@classmethod
def host(self):
return 'foodrepublic.com'
def title(self):
return self.soup.find('h3', {'class': 'recipe-title'}).get_text()
def total_time(self... | 29.424242 | 88 | 0.625129 |
047798f6dc1450c40817218fe921e97a486f6e59 | 58,736 | py | Python | Lib/logging/handlers.py | CraftSpider/cpython | 0f2f35e15f9fbee44ce042b724348419d8136bc5 | [
"CNRI-Python-GPL-Compatible"
] | 2 | 2020-10-23T02:42:10.000Z | 2020-10-23T02:50:48.000Z | Lib/logging/handlers.py | CraftSpider/cpython | 0f2f35e15f9fbee44ce042b724348419d8136bc5 | [
"CNRI-Python-GPL-Compatible"
] | 2 | 2021-05-31T13:39:43.000Z | 2021-06-01T12:00:13.000Z | Lib/logging/handlers.py | CraftSpider/cpython | 0f2f35e15f9fbee44ce042b724348419d8136bc5 | [
"CNRI-Python-GPL-Compatible"
] | 2 | 2020-02-24T03:23:47.000Z | 2020-02-24T07:45:37.000Z | # Copyright 2001-2016 by Vinay Sajip. All Rights Reserved.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose and without fee is hereby granted,
# provided that the above copyright notice appear in all copies and that
# both that copyright notice and this permissio... | 38.41465 | 120 | 0.578827 |
7cfc7099fe9481fed969b14fb697e14c8cde9d44 | 5,428 | py | Python | gdpr_assist/anonymiser.py | mopitz199/django-gdpr-assist | c7428d64bee85558541eceff1f42ecb44fc14c75 | [
"BSD-3-Clause"
] | null | null | null | gdpr_assist/anonymiser.py | mopitz199/django-gdpr-assist | c7428d64bee85558541eceff1f42ecb44fc14c75 | [
"BSD-3-Clause"
] | null | null | null | gdpr_assist/anonymiser.py | mopitz199/django-gdpr-assist | c7428d64bee85558541eceff1f42ecb44fc14c75 | [
"BSD-3-Clause"
] | 1 | 2019-12-11T13:31:57.000Z | 2019-12-11T13:31:57.000Z | """
Anonymisation functionality
"""
import datetime
import uuid
from django.db import models
from django.utils.timezone import now
from .deletion import ANONYMISE
from .exceptions import AnonymiseError
from .registry import registry
anonymisers = {}
def register(*field_classes):
def outer(fn):
# Regis... | 21.203125 | 77 | 0.66857 |
02f0f4f5133fe5f5c604e72817e1c6e11c788a8e | 173 | py | Python | tasks.py | vlcinsky/python-fastapi-github-timeline | e066dc5811fde884af9ddf8f01d14675a9fef302 | [
"MIT"
] | 4 | 2021-08-03T09:32:41.000Z | 2022-03-25T23:06:49.000Z | tasks.py | vlcinsky/python-fastapi-github-timeline | e066dc5811fde884af9ddf8f01d14675a9fef302 | [
"MIT"
] | null | null | null | tasks.py | vlcinsky/python-fastapi-github-timeline | e066dc5811fde884af9ddf8f01d14675a9fef302 | [
"MIT"
] | 1 | 2021-11-09T08:57:39.000Z | 2021-11-09T08:57:39.000Z | from invoke import task
@task
def app_run(c):
"""Run web app in development mode"""
c.run(
"uvicorn app:app --reload --port=8000",
pty=True,
)
| 15.727273 | 47 | 0.572254 |
81c96a61ab11f16f369f572e8938e8fa363bfec5 | 4,276 | py | Python | tests/test_cityhash.py | yujiaao/python-cityhash | bc99c439fd642adce0cf336aee7f6e4c4c9ba81e | [
"MIT"
] | 2 | 2021-03-03T08:42:46.000Z | 2021-03-06T18:07:30.000Z | tests/test_cityhash.py | yujiaao/python-cityhash | bc99c439fd642adce0cf336aee7f6e4c4c9ba81e | [
"MIT"
] | null | null | null | tests/test_cityhash.py | yujiaao/python-cityhash | bc99c439fd642adce0cf336aee7f6e4c4c9ba81e | [
"MIT"
] | 1 | 2021-03-03T08:43:53.000Z | 2021-03-03T08:43:53.000Z | import array
import unittest
import random
import string
import sys
from cityhash import (
CityHash32, CityHash64, CityHash64WithSeed, CityHash64WithSeeds,
CityHash128, CityHash128WithSeed,
)
if sys.version_info[0] >= 3:
long = int
def random_string(n, alphabet=string.ascii_lowercase):
return '... | 35.932773 | 110 | 0.656221 |
c8df3be2dab9921691bd4d2d51525873b99e6cf9 | 427 | py | Python | articles/migrations/old/0007_author_slug.py | JClubb3/johnj.club | a10bb4e15da38a5bf2e265790fe2bf7603e5474c | [
"MIT"
] | null | null | null | articles/migrations/old/0007_author_slug.py | JClubb3/johnj.club | a10bb4e15da38a5bf2e265790fe2bf7603e5474c | [
"MIT"
] | null | null | null | articles/migrations/old/0007_author_slug.py | JClubb3/johnj.club | a10bb4e15da38a5bf2e265790fe2bf7603e5474c | [
"MIT"
] | null | null | null | # Generated by Django 2.0 on 2018-02-16 15:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('articles', '0006_auto_20180216_0947'),
]
operations = [
migrations.AddField(
model_name='author',
name='slug',
... | 22.473684 | 96 | 0.604215 |
a6f24509ca1f20fb06b3bcbe4ed5f804a04bc039 | 2,392 | bzl | Python | tools/sass_bundle.bzl | MarkArranz/material2 | 3255cf3c3675037725ea579fcdfa373d06977fb4 | [
"MIT"
] | 4 | 2017-09-12T16:12:28.000Z | 2018-05-02T21:16:55.000Z | tools/sass_bundle.bzl | MarkArranz/material2 | 3255cf3c3675037725ea579fcdfa373d06977fb4 | [
"MIT"
] | 2 | 2018-07-12T23:57:08.000Z | 2018-07-13T00:15:06.000Z | tools/sass_bundle.bzl | MarkArranz/material2 | 3255cf3c3675037725ea579fcdfa373d06977fb4 | [
"MIT"
] | 3 | 2017-11-23T04:20:48.000Z | 2018-05-02T21:17:13.000Z | # Implementation of sass_bundle that performs an action
def _sass_bundle(ctx):
# Define arguments that will be passed to the underlying nodejs script.
args = ctx.actions.args()
# The entry-point scss file for the bundle.
args.add("--entry")
args.add(ctx.attr.entry_point.files)
# The list of files that can... | 37.375 | 79 | 0.704013 |
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