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338533386fe5a86b5d7b0d4e0de9f37f1da09eea | 2,531 | py | Python | tech_project/lib/python2.7/site-packages/djangocms_picture/cms_plugins.py | priyamshah112/Project-Descripton-Blog | 8e01016c6be79776c4f5ca75563fa3daa839e39e | [
"MIT"
] | null | null | null | tech_project/lib/python2.7/site-packages/djangocms_picture/cms_plugins.py | priyamshah112/Project-Descripton-Blog | 8e01016c6be79776c4f5ca75563fa3daa839e39e | [
"MIT"
] | null | null | null | tech_project/lib/python2.7/site-packages/djangocms_picture/cms_plugins.py | priyamshah112/Project-Descripton-Blog | 8e01016c6be79776c4f5ca75563fa3daa839e39e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from cms.plugin_base import CMSPluginBase
from cms.plugin_pool import plugin_pool
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
from .forms import PictureForm
from .models import Picture
# enable nesting of plugins inside the picture plugin
PICTURE_NE... | 32.037975 | 80 | 0.566574 |
3385d0740834d136b94244297d0e01af822e4328 | 622 | py | Python | Blatt1/src/script.py | lewis206/Computational_Physics | 06ad6126685eaf65f5834bfe70ebd91b33314395 | [
"MIT"
] | null | null | null | Blatt1/src/script.py | lewis206/Computational_Physics | 06ad6126685eaf65f5834bfe70ebd91b33314395 | [
"MIT"
] | null | null | null | Blatt1/src/script.py | lewis206/Computational_Physics | 06ad6126685eaf65f5834bfe70ebd91b33314395 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import matplotlib
# Set fontsize larger for latex plots
matplotlib.rcParams.update({'font.size': 20})
# Generate data from file
x, y = np.genfromtxt("bin/python_Aufgabe2.txt", unpack=True)
m, n = x[-1], y[-1]
# Plotting
plt.figure(figsize=(12,7))
plt.grid()
plt.xla... | 27.043478 | 70 | 0.680064 |
33868319c19ba1edc4a009ab8aec531548edc673 | 1,350 | py | Python | editregions/migrations/0001_initial.py | kezabelle/django-editregions | 961ddeffb37d30d40fb4e3e9224bc3f956b7a5b5 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2015-01-11T18:21:27.000Z | 2015-01-11T18:21:27.000Z | editregions/migrations/0001_initial.py | kezabelle/django-editregions | 961ddeffb37d30d40fb4e3e9224bc3f956b7a5b5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | editregions/migrations/0001_initial.py | kezabelle/django-editregions | 961ddeffb37d30d40fb4e3e9224bc3f956b7a5b5 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import editregions.utils.regions
| 37.5 | 121 | 0.586667 |
3386cfd4a875f26af378b42735047ac756a1b6cf | 887 | py | Python | histVarPng.py | AineNicD/pands-project | 55f7dbab4f106f4776be4e0248c941a4246e64ac | [
"MIT"
] | null | null | null | histVarPng.py | AineNicD/pands-project | 55f7dbab4f106f4776be4e0248c941a4246e64ac | [
"MIT"
] | null | null | null | histVarPng.py | AineNicD/pands-project | 55f7dbab4f106f4776be4e0248c941a4246e64ac | [
"MIT"
] | null | null | null | #Saves a historgram of each variable to png files
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
#read data
data = pd.read_csv("irisDataSet.csv")
#names of variables
names = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'species']
# sepe... | 22.74359 | 121 | 0.723788 |
3387d6dfab24bbf352088172ca1497dc6db9c9b1 | 712 | py | Python | build.py | LagoLunatic/GCFT | d838614804058c7b7ea5c62b37251a2795f5c791 | [
"MIT"
] | 38 | 2020-01-14T01:20:15.000Z | 2022-02-15T00:03:33.000Z | build.py | LagoLunatic/GCFT | d838614804058c7b7ea5c62b37251a2795f5c791 | [
"MIT"
] | 7 | 2020-01-13T18:08:07.000Z | 2022-01-13T02:20:30.000Z | build.py | LagoLunatic/GCFT | d838614804058c7b7ea5c62b37251a2795f5c791 | [
"MIT"
] | 1 | 2021-09-23T19:30:55.000Z | 2021-09-23T19:30:55.000Z |
from zipfile import ZipFile
import os
from version import VERSION
base_name = "GameCube File Tools"
base_name_with_version = base_name + " " + VERSION
import struct
if (struct.calcsize("P") * 8) == 64:
base_name_with_version += "_64bit"
base_zip_name = base_name_with_version
else:
base_name_with_version += "_... | 26.37037 | 56 | 0.723315 |
338824f1551a38d9cfd8d8f7b8e6193c7a8c97ff | 2,894 | py | Python | Settings/RobotData.py | xzhang-wr/DAnTE_V2 | 8b433973aa5ab47ef237d8dfaca6232a6d9f526b | [
"Apache-2.0"
] | null | null | null | Settings/RobotData.py | xzhang-wr/DAnTE_V2 | 8b433973aa5ab47ef237d8dfaca6232a6d9f526b | [
"Apache-2.0"
] | null | null | null | Settings/RobotData.py | xzhang-wr/DAnTE_V2 | 8b433973aa5ab47ef237d8dfaca6232a6d9f526b | [
"Apache-2.0"
] | null | null | null | #!usr/bin/env python
__author__ = "X Zhang"
__email__ = "xzhang@westwoodrobotics.net"
__copyright__ = "Copyright 2020 Westwood Robotics Corp."
__date__ = "Feb 14, 2020"
__version__ = "0.1.0"
__status__ = "Beta"
from Settings.Constants_DAnTE import *
import math
import numpy as np
| 37.584416 | 107 | 0.658604 |
3388f9df9b80255086f1204a7c8b7e0f3646bb15 | 2,012 | py | Python | src/main/resources/servicenow/OpenTicket.py | xdanw/xld-servicenow-incidentlog | 9ae4ccf5a110dab0294aa38cd04b2abc8615acba | [
"MIT"
] | null | null | null | src/main/resources/servicenow/OpenTicket.py | xdanw/xld-servicenow-incidentlog | 9ae4ccf5a110dab0294aa38cd04b2abc8615acba | [
"MIT"
] | null | null | null | src/main/resources/servicenow/OpenTicket.py | xdanw/xld-servicenow-incidentlog | 9ae4ccf5a110dab0294aa38cd04b2abc8615acba | [
"MIT"
] | null | null | null |
import json
import requests
import requests.utils
# Fixes some issues with TLS
import os
os.environ['REQUESTS_CA_BUNDLE'] = 'ca.pem';
# --- Debug Purposes Only, Server Config Is Hard Coded ---
#
#
# print "Debug ... " + deployed.ResultUri;
# response = requests.get('https://webhook.site/062e2ea7-5a36-4abb-a2c8-862... | 30.484848 | 123 | 0.695328 |
338945537366a67604118a7d7b4f22b6a5da388b | 4,318 | py | Python | code/joint_pca.py | craig-willis/SOMOSPIE | 0e2b43bd047252d992bc533285a3469ea5d60e09 | [
"BSD-3-Clause"
] | null | null | null | code/joint_pca.py | craig-willis/SOMOSPIE | 0e2b43bd047252d992bc533285a3469ea5d60e09 | [
"BSD-3-Clause"
] | null | null | null | code/joint_pca.py | craig-willis/SOMOSPIE | 0e2b43bd047252d992bc533285a3469ea5d60e09 | [
"BSD-3-Clause"
] | 3 | 2020-02-14T14:31:50.000Z | 2022-01-04T16:51:40.000Z | #!/usr/bin/env python3
# This script assumes that the non-numerical column headers
# in train and predi files are identical.
# Thus the sm header(s) in the train file must be numeric (day/month/year).
import sys
import numpy as np
import pandas as pd
from sklearn.decomposition import PCA #TruncatedSVD as SVD
from skl... | 33.472868 | 113 | 0.700787 |
338b6987963d5d47f633929d5f959e0cea5cc7d2 | 120 | py | Python | models/__init__.py | MartinPernus/MaskFaceGAN | e10b7c5b2f74113118b89913089a7529d709dce1 | [
"MIT"
] | 11 | 2021-07-28T12:52:26.000Z | 2022-02-28T02:53:23.000Z | models/__init__.py | MartinPernus/MaskFaceGAN | e10b7c5b2f74113118b89913089a7529d709dce1 | [
"MIT"
] | 2 | 2021-11-01T09:36:48.000Z | 2021-12-13T12:32:09.000Z | models/__init__.py | MartinPernus/MaskFaceGAN | e10b7c5b2f74113118b89913089a7529d709dce1 | [
"MIT"
] | 1 | 2021-11-01T09:36:55.000Z | 2021-11-01T09:36:55.000Z | from .attribute_classifier import BranchedTinyAttr
from .face_parser import FaceParser
from .stylegan2 import Generator
| 30 | 50 | 0.875 |
338b7280d85cf38ca0b11c2d5921f28082cfcfc1 | 2,787 | py | Python | tests/utils_tests.py | djt5019/queries | 6bae5fa9a0cb397a43a41dd6692a81b9fb389096 | [
"BSD-3-Clause"
] | null | null | null | tests/utils_tests.py | djt5019/queries | 6bae5fa9a0cb397a43a41dd6692a81b9fb389096 | [
"BSD-3-Clause"
] | null | null | null | tests/utils_tests.py | djt5019/queries | 6bae5fa9a0cb397a43a41dd6692a81b9fb389096 | [
"BSD-3-Clause"
] | null | null | null | """
Tests for functionality in the utils module
"""
import mock
try:
import unittest2 as unittest
except ImportError:
import unittest
from queries import utils
| 32.788235 | 79 | 0.679584 |
338bdb61b810291631438e77fffbc7457c38058b | 1,421 | py | Python | Core/Stealer/FileZilla.py | HugoMskn/Telegram-RAT | 53989b2509b1c844c6a33f670aece5f8dbf15305 | [
"MIT"
] | 375 | 2020-03-17T06:20:50.000Z | 2022-03-29T22:27:23.000Z | Core/Stealer/FileZilla.py | HugoMskn/Telegram-RAT | 53989b2509b1c844c6a33f670aece5f8dbf15305 | [
"MIT"
] | 44 | 2020-04-06T22:37:59.000Z | 2020-11-15T15:53:39.000Z | Core/Stealer/FileZilla.py | HugoMskn/Telegram-RAT | 53989b2509b1c844c6a33f670aece5f8dbf15305 | [
"MIT"
] | 173 | 2020-04-01T17:17:26.000Z | 2022-03-24T13:28:15.000Z | # Import modules
import os
from xml.dom import minidom
from base64 import b64decode
# Fetch servers from FileZilla
FileZilla = os.getenv('AppData') + '\\FileZilla\\'
| 33.046512 | 148 | 0.696692 |
338c3eed58a47fa30a2aa03ae3da78bb3efa67b1 | 535 | py | Python | oldcontrib/tools/gallery/urls.py | servee/django-servee-oldcontrib | 836447ebbd53db0b53879a35468c02e57f65105f | [
"BSD-Source-Code"
] | null | null | null | oldcontrib/tools/gallery/urls.py | servee/django-servee-oldcontrib | 836447ebbd53db0b53879a35468c02e57f65105f | [
"BSD-Source-Code"
] | null | null | null | oldcontrib/tools/gallery/urls.py | servee/django-servee-oldcontrib | 836447ebbd53db0b53879a35468c02e57f65105f | [
"BSD-Source-Code"
] | null | null | null | from django.conf.urls.defaults import *
urlpatterns = patterns('oldcontrib.tools.gallery.views',
url(r'^add_to_gallery/$', view='add_to_gallery', name='add_to_gallery'),
url(r'^remove_from_gallery/$', view='remove_from_gallery', name='remove_from_gallery'),
url(r'^create_gallery/$', view='create_gallery', ... | 59.444444 | 94 | 0.745794 |
338c9be69572a77ed6dc3ba19bdccb2d83d6f3ff | 4,333 | py | Python | server/app/mod_api/endpoints.py | meyersj/TamaleNow | 59003d2122ce6af4928a8b16a0fe0ab547df66b9 | [
"MIT"
] | null | null | null | server/app/mod_api/endpoints.py | meyersj/TamaleNow | 59003d2122ce6af4928a8b16a0fe0ab547df66b9 | [
"MIT"
] | 1 | 2015-08-28T01:59:24.000Z | 2015-08-28T01:59:24.000Z | server/app/mod_api/endpoints.py | meyersj/TamaleNow | 59003d2122ce6af4928a8b16a0fe0ab547df66b9 | [
"MIT"
] | null | null | null | # Copyright (C) 2015 Jeffrey Meyers
#
# This program is released under the "MIT License".
# Please see the file COPYING in this distribution for
# license terms.
import datetime
from flask import Blueprint, request, jsonify
from webargs import Arg
from webargs.flaskparser import use_args
import geoalchemy2.functions... | 27.775641 | 75 | 0.632587 |
338d8b38b7ae2a594d977bc4df33b494659dacc1 | 2,896 | py | Python | src/spn/structure/leaves/conditional/MLE.py | kripa-experiments/SPFlow | 32eada604bf5442d8aa10223581b187f7a57d540 | [
"Apache-2.0"
] | null | null | null | src/spn/structure/leaves/conditional/MLE.py | kripa-experiments/SPFlow | 32eada604bf5442d8aa10223581b187f7a57d540 | [
"Apache-2.0"
] | null | null | null | src/spn/structure/leaves/conditional/MLE.py | kripa-experiments/SPFlow | 32eada604bf5442d8aa10223581b187f7a57d540 | [
"Apache-2.0"
] | null | null | null | '''
Created on April 15, 2018
@author: Alejandro Molina
'''
import numpy as np
import warnings
from scipy.stats import gamma, lognorm
from sklearn.linear_model import ElasticNet
from spn.structure.leaves.conditional.Conditional import Conditional_Gaussian, Conditional_Poisson, \
Conditional_Bernoulli
import stats... | 34.891566 | 113 | 0.667472 |
338eac6a7e1d38c11cb457c1d528a675949db378 | 5,077 | py | Python | src/fparser/two/tests/fortran2003/test_control_edit_descriptor_r1011.py | sturmianseq/fparser | bf3cba3f31a72671d4d4a93b6ef4f9832006219f | [
"BSD-3-Clause"
] | 33 | 2017-08-18T16:31:27.000Z | 2022-03-28T09:43:50.000Z | src/fparser/two/tests/fortran2003/test_control_edit_descriptor_r1011.py | sturmianseq/fparser | bf3cba3f31a72671d4d4a93b6ef4f9832006219f | [
"BSD-3-Clause"
] | 319 | 2017-01-12T14:22:07.000Z | 2022-03-23T20:53:25.000Z | src/fparser/two/tests/fortran2003/test_control_edit_descriptor_r1011.py | sturmianseq/fparser | bf3cba3f31a72671d4d4a93b6ef4f9832006219f | [
"BSD-3-Clause"
] | 17 | 2017-10-13T07:12:28.000Z | 2022-02-11T14:42:18.000Z | # Copyright (c) 2019 Science and Technology Facilities Council
# All rights reserved.
# Modifications made as part of the fparser project are distributed
# under the following license:
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following condi... | 39.053846 | 74 | 0.696868 |
338f8fbc58d791841bc38c5b6a72926e9899414e | 6,486 | py | Python | PSPNet/utils.py | keyme/deep_learning | 1d08a739d889cf736e75b87cc30ec0476c3dec6d | [
"MIT"
] | 12 | 2018-03-14T18:06:16.000Z | 2020-07-21T12:06:53.000Z | PSPNet/utils.py | keyme/deep_learning | 1d08a739d889cf736e75b87cc30ec0476c3dec6d | [
"MIT"
] | 10 | 2018-02-26T21:18:15.000Z | 2019-01-25T17:16:20.000Z | PSPNet/utils.py | keyme/deep_learning | 1d08a739d889cf736e75b87cc30ec0476c3dec6d | [
"MIT"
] | 7 | 2018-02-26T19:23:00.000Z | 2019-03-11T01:21:54.000Z | """
This module contains utility functions used in the conversion of the downloaded
data to TFrecords as well as functions used by the model/training script.
Semantic segmenation evaluations methods were taken from
https://github.com/martinkersner/py_img_seg_eval
"""
import os
import fnmatch
import logging
import cv... | 35.442623 | 111 | 0.68301 |
3390381ad2adf5630233e515d79350ddfc4af053 | 5,685 | py | Python | NumPyNet/layers/activation_layer.py | Nico-Curti/NumPyNet | bc4153f58a054d4e60bb14c993bf61a058458e8b | [
"MIT"
] | 28 | 2019-08-19T15:46:12.000Z | 2022-02-17T16:32:13.000Z | NumPyNet/layers/activation_layer.py | Nico-Curti/NumPyNet | bc4153f58a054d4e60bb14c993bf61a058458e8b | [
"MIT"
] | 3 | 2020-07-05T17:16:44.000Z | 2022-03-28T10:03:36.000Z | NumPyNet/layers/activation_layer.py | Nico-Curti/NumPyNet | bc4153f58a054d4e60bb14c993bf61a058458e8b | [
"MIT"
] | 7 | 2019-09-17T09:13:57.000Z | 2022-02-15T08:50:38.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
from __future__ import print_function
from NumPyNet.activations import Activations
from NumPyNet.utils import _check_activation
from NumPyNet.utils import check_is_fitted
import numpy as np
from NumPyNet.layers.base import BaseLayer
__aut... | 25.840909 | 119 | 0.63131 |
339039daaf7ffa710ba3dbd6f69316cd722f2b38 | 843 | py | Python | anymesh/tests/reactortester.py | AnyMesh/anyMesh-Python | 017b7808f2fbdc765604488d325678c28be438c0 | [
"MIT"
] | 39 | 2015-04-09T12:55:25.000Z | 2022-01-09T17:56:39.000Z | anymesh/tests/reactortester.py | AnyMesh/anyMesh-Python | 017b7808f2fbdc765604488d325678c28be438c0 | [
"MIT"
] | null | null | null | anymesh/tests/reactortester.py | AnyMesh/anyMesh-Python | 017b7808f2fbdc765604488d325678c28be438c0 | [
"MIT"
] | 13 | 2015-12-17T21:56:26.000Z | 2019-06-01T18:22:02.000Z | import unittest
from twisted.internet import reactor, task
| 28.1 | 62 | 0.619217 |
3390fdfb284aecfe0fd47351543fe7cd80e19246 | 1,068 | py | Python | old/accurate_landing.py | domnantas/landing-system | 408f352ce56d83ec63882e0aee370df5f5d683ad | [
"MIT"
] | 1 | 2021-09-15T08:06:03.000Z | 2021-09-15T08:06:03.000Z | old/accurate_landing.py | domnantas/landing-system | 408f352ce56d83ec63882e0aee370df5f5d683ad | [
"MIT"
] | null | null | null | old/accurate_landing.py | domnantas/landing-system | 408f352ce56d83ec63882e0aee370df5f5d683ad | [
"MIT"
] | null | null | null | from oled import TrackerOled
from color_tracker import ColorTracker
import cv2
from threading import Thread
tracker_oled = TrackerOled()
color_tracker = ColorTracker()
tracker_oled.writeTextCenter("READY")
while True:
color_tracker.processFrame()
# t = Thread(target=write_fps, args=(), daemon=True)
# t... | 30.514286 | 79 | 0.690075 |
3393b84012cd8093cec6722d84c146ceb9736287 | 6,692 | py | Python | lightconfig/lightconfig.py | daassh/LightConfig | e7d962bafae47e635b8a14abe8f6f98cb3ea16a9 | [
"MIT"
] | 2 | 2018-07-24T02:16:41.000Z | 2018-08-06T06:52:15.000Z | lightconfig/lightconfig.py | daassh/LightConfig | e7d962bafae47e635b8a14abe8f6f98cb3ea16a9 | [
"MIT"
] | null | null | null | lightconfig/lightconfig.py | daassh/LightConfig | e7d962bafae47e635b8a14abe8f6f98cb3ea16a9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
# get a easy way to edit config file
"""
>>> from lightconfig import LightConfig
>>> cfg = LightConfig("config.ini")
>>> cfg.section1.option1 = "value1"
>>> print(cfg.section1.option1)
value1
>>> "section1" in cfg
True
>>> "option1" in cfg.section1
True
"""
import os
import codecs
i... | 36.568306 | 139 | 0.609534 |
3393bcf3b27570f5d59ffe21a0c2d9ebb337faa5 | 2,414 | py | Python | assets/scikit-learn_linear_regression.py | tbienias/blog | 78babd9cab487a4f8746a0918d363985ea8cd8a8 | [
"MIT"
] | 6 | 2020-12-10T00:39:38.000Z | 2022-02-10T20:16:04.000Z | assets/scikit-learn_linear_regression.py | tbienias/blog | 78babd9cab487a4f8746a0918d363985ea8cd8a8 | [
"MIT"
] | null | null | null | assets/scikit-learn_linear_regression.py | tbienias/blog | 78babd9cab487a4f8746a0918d363985ea8cd8a8 | [
"MIT"
] | null | null | null | """
This script shows the usage of scikit-learns linear regression functionality.
"""
# %% [markdown]
# # Linear Regression using Scikit-Learn #
# %% [markdown]
# ## Ice Cream Dataset ##
# | Temperature C | Ice Cream Sales |
# |:--------------:|:---------------:|
# | 15 | 34 |
# | 24 ... | 22.146789 | 77 | 0.511599 |
339506ce1e95c27d7ca74c94295129c3b605e640 | 9,195 | py | Python | RNN.py | AuckeBos/Speaker-count-estimation-with-single-speakers | e56f53c0a49e0a2ed446e55ec8764182f67fd236 | [
"MIT"
] | null | null | null | RNN.py | AuckeBos/Speaker-count-estimation-with-single-speakers | e56f53c0a49e0a2ed446e55ec8764182f67fd236 | [
"MIT"
] | null | null | null | RNN.py | AuckeBos/Speaker-count-estimation-with-single-speakers | e56f53c0a49e0a2ed446e55ec8764182f67fd236 | [
"MIT"
] | null | null | null | from datetime import datetime
import numpy as np
import tensorflow as tf
import tensorflow.keras.backend as K
import tensorflow_probability as tfp
from sklearn.metrics import mean_absolute_error
from tensorflow.python.keras.callbacks import EarlyStopping, ReduceLROnPlateau, ModelCheckpoint
from tensorflow.python.keras... | 39.12766 | 139 | 0.657423 |
3397953b644d0f59b96f9efd7c056d0243abb45a | 380 | py | Python | src/run-shoutcloud/run-shoutcloud-aws.py | kpwbo/comparing-FaaS | dfede88cc9efb1a70ef96603e851436bdc177429 | [
"MIT"
] | null | null | null | src/run-shoutcloud/run-shoutcloud-aws.py | kpwbo/comparing-FaaS | dfede88cc9efb1a70ef96603e851436bdc177429 | [
"MIT"
] | null | null | null | src/run-shoutcloud/run-shoutcloud-aws.py | kpwbo/comparing-FaaS | dfede88cc9efb1a70ef96603e851436bdc177429 | [
"MIT"
] | null | null | null | from locust import HttpLocust, TaskSet, task
| 27.142857 | 67 | 0.642105 |
3398cb226db154c17c5156d32cace490ac81678b | 198 | py | Python | 02_sequences/0201_listcomp/020103_cartesian/__main__.py | forseti/py-workout-01 | 9ebb36748ec7d4751b2c81086134df320c0f58ed | [
"Apache-2.0"
] | null | null | null | 02_sequences/0201_listcomp/020103_cartesian/__main__.py | forseti/py-workout-01 | 9ebb36748ec7d4751b2c81086134df320c0f58ed | [
"Apache-2.0"
] | null | null | null | 02_sequences/0201_listcomp/020103_cartesian/__main__.py | forseti/py-workout-01 | 9ebb36748ec7d4751b2c81086134df320c0f58ed | [
"Apache-2.0"
] | null | null | null | colors = ['black', 'white']
sizes = ['S', 'M', 'L']
tshirts = [
(color, size)
for color in colors
for size in sizes
]
print(f"Cartesian products from {colors} and {sizes}: {tshirts}")
| 18 | 65 | 0.59596 |
3399587139e4c6f0b9e4a5bc16f77ab6a41e223b | 807 | py | Python | software/pawsc/pawsc_blocks/PAWSC_REST_API_RICHARD_II/django/base/src/urls.py | vthakur7f/OpenCellular | 0d5d7b005327e4378bd5c7fd44d7b8dc5ab796f6 | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 1 | 2019-01-17T21:03:51.000Z | 2019-01-17T21:03:51.000Z | software/pawsc/pawsc_blocks/PAWSC_REST_API_RICHARD_II/django/base/src/urls.py | vthakur7f/OpenCellular | 0d5d7b005327e4378bd5c7fd44d7b8dc5ab796f6 | [
"CC-BY-4.0",
"BSD-3-Clause"
] | null | null | null | software/pawsc/pawsc_blocks/PAWSC_REST_API_RICHARD_II/django/base/src/urls.py | vthakur7f/OpenCellular | 0d5d7b005327e4378bd5c7fd44d7b8dc5ab796f6 | [
"CC-BY-4.0",
"BSD-3-Clause"
] | null | null | null | # create this file
# rerouting all requests that have api in the url to the <code>apps.core.urls
from django.conf.urls import url
from django.urls import path
from rest_framework import routers
from base.src import views
from base.src.views import InitViewSet
#from base.src.views import UploadFileForm
#upload stuff
... | 26.9 | 79 | 0.759603 |
33998c2c6881fb81dfbebc65e0a2eb0c23324496 | 2,456 | py | Python | res/test_Rainbow_pen.py | nomissbowling/gcc_Springhead | 5a03cb61e13c61143e394e86d57016d28c79b051 | [
"MIT"
] | null | null | null | res/test_Rainbow_pen.py | nomissbowling/gcc_Springhead | 5a03cb61e13c61143e394e86d57016d28c79b051 | [
"MIT"
] | null | null | null | res/test_Rainbow_pen.py | nomissbowling/gcc_Springhead | 5a03cb61e13c61143e394e86d57016d28c79b051 | [
"MIT"
] | null | null | null | #!/usr/local/bin/python
# -*- coding: utf-8 -*-
'''test_Rainbow_pen
'''
import sys, os
import numpy as np
from matplotlib import pyplot as plt
from PIL import Image
FN_OUT = 'rainbow_pen_320x240.png'
if __name__ == '__main__':
rainbow_pen(320, 240)
| 29.590361 | 73 | 0.513844 |
3399c4cddcb4d17b9d9aef1da6a020e45290b8d3 | 15,780 | py | Python | kaggle_tutorial_mod.py | DistrictDataLabs/02-seefish | e39189b37f0e925a2c7e9c34be608cbd8243733e | [
"Apache-2.0"
] | null | null | null | kaggle_tutorial_mod.py | DistrictDataLabs/02-seefish | e39189b37f0e925a2c7e9c34be608cbd8243733e | [
"Apache-2.0"
] | null | null | null | kaggle_tutorial_mod.py | DistrictDataLabs/02-seefish | e39189b37f0e925a2c7e9c34be608cbd8243733e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 16 17:31:42 2015
This is adapted from the kaggle tutorial for the National Data Science Bowl at
https://www.kaggle.com/c/datasciencebowl/details/tutorial
Any code section lifted from the tutorial will start with # In tutorial [n].
My adaption will start with # Adapted
2/2... | 36.443418 | 80 | 0.721229 |
339ad92405feefc3b07ccc7b60e49d33ef95a496 | 14,810 | py | Python | src/k3d.py | maiki/k3x | dd817dbd2baf6eb40a4e7d043f41133ab7e120dc | [
"MIT"
] | 188 | 2020-04-23T07:58:04.000Z | 2022-03-30T19:39:29.000Z | src/k3d.py | maiki/k3x | dd817dbd2baf6eb40a4e7d043f41133ab7e120dc | [
"MIT"
] | 29 | 2020-06-08T16:09:08.000Z | 2022-03-21T21:52:30.000Z | src/k3d.py | maiki/k3x | dd817dbd2baf6eb40a4e7d043f41133ab7e120dc | [
"MIT"
] | 14 | 2020-06-24T13:56:58.000Z | 2022-03-16T12:13:54.000Z | # k3d.py
#
# Copyright 2020 Alvaro Saurin
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distribu... | 32.336245 | 122 | 0.576637 |
339c2850fe3848ca48de45f881ca59f6d9fd81f3 | 153 | py | Python | locale/pot/api/utilities/_autosummary/pyvista-Disc-1.py | tkoyama010/pyvista-doc-translations | 23bb813387b7f8bfe17e86c2244d5dd2243990db | [
"MIT"
] | 4 | 2020-08-07T08:19:19.000Z | 2020-12-04T09:51:11.000Z | locale/pot/api/utilities/_autosummary/pyvista-Disc-1.py | tkoyama010/pyvista-doc-translations | 23bb813387b7f8bfe17e86c2244d5dd2243990db | [
"MIT"
] | 19 | 2020-08-06T00:24:30.000Z | 2022-03-30T19:22:24.000Z | locale/pot/api/utilities/_autosummary/pyvista-Disc-1.py | tkoyama010/pyvista-doc-translations | 23bb813387b7f8bfe17e86c2244d5dd2243990db | [
"MIT"
] | 1 | 2021-03-09T07:50:40.000Z | 2021-03-09T07:50:40.000Z | # Create a disc with 50 points in the circumferential direction.
#
import pyvista
mesh = pyvista.Disc(c_res=50)
mesh.plot(show_edges=True, line_width=5)
| 25.5 | 64 | 0.784314 |
339d94c7e05fc5f397dd56538bd484357362ee32 | 7,364 | py | Python | gamemaster.py | josephko91/checkers-ai | e5963ffebf9a64724604a620d2432c1798505c22 | [
"MIT"
] | null | null | null | gamemaster.py | josephko91/checkers-ai | e5963ffebf9a64724604a620d2432c1798505c22 | [
"MIT"
] | null | null | null | gamemaster.py | josephko91/checkers-ai | e5963ffebf9a64724604a620d2432c1798505c22 | [
"MIT"
] | null | null | null | import os
from utility import write_to_output, print_board, color_is_black, board_to_list, print_results
from board import Board
import time
from algorithm import minimax, minimax_alpha_beta, minimax_alpha_beta_final, minimax_alpha_beta_rand
from math import sqrt, floor
start = time.time()
# parse input file
with ope... | 48.768212 | 158 | 0.576589 |
339e1f9b6047c43589a665151b5f5b6446ffe99f | 1,407 | py | Python | api/v2/views/image_version_license.py | xuhang57/atmosphere | f53fea2a74ee89ccc8852906799b1d9a7e9178b7 | [
"BSD-3-Clause"
] | null | null | null | api/v2/views/image_version_license.py | xuhang57/atmosphere | f53fea2a74ee89ccc8852906799b1d9a7e9178b7 | [
"BSD-3-Clause"
] | null | null | null | api/v2/views/image_version_license.py | xuhang57/atmosphere | f53fea2a74ee89ccc8852906799b1d9a7e9178b7 | [
"BSD-3-Clause"
] | null | null | null | from django.db.models import Q
import django_filters
from core.models import ApplicationVersionLicense as ImageVersionLicense
from api.v2.serializers.details import ImageVersionLicenseSerializer
from api.v2.views.base import AuthModelViewSet
| 33.5 | 81 | 0.734186 |
339ebff6a47b6fc0d76354525972cdafcdf197e6 | 216 | py | Python | osvolbackup/verbose.py | CCSGroupInternational/osvolbackup | d0d93812a729acdb6c961c6bdd1cc2cb5c9c87f5 | [
"Apache-2.0"
] | 1 | 2019-02-27T12:59:49.000Z | 2019-02-27T12:59:49.000Z | osvolbackup/verbose.py | CCSGroupInternational/osvolbackup | d0d93812a729acdb6c961c6bdd1cc2cb5c9c87f5 | [
"Apache-2.0"
] | 4 | 2019-03-07T09:31:51.000Z | 2019-03-12T15:19:40.000Z | osvolbackup/verbose.py | CCSGroupInternational/osvolbackup | d0d93812a729acdb6c961c6bdd1cc2cb5c9c87f5 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
from os import getenv
from datetime import datetime
| 19.636364 | 38 | 0.643519 |
339ef85148fe55aaa28cf0f86e5f3b80b5277dee | 1,964 | py | Python | pypybox2d/joints/__init__.py | the-mba/Progra-Super-Mario | 90dc2a4ba815732b6e92652c7f8bb4a345d25e91 | [
"MIT"
] | null | null | null | pypybox2d/joints/__init__.py | the-mba/Progra-Super-Mario | 90dc2a4ba815732b6e92652c7f8bb4a345d25e91 | [
"MIT"
] | null | null | null | pypybox2d/joints/__init__.py | the-mba/Progra-Super-Mario | 90dc2a4ba815732b6e92652c7f8bb4a345d25e91 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# C++ version Copyright (c) 2006-2011 Erin Catto http://www.box2d.org
# Python port by Ken Lauer / http://pybox2d.googlecode.com
#
# This software is provided 'as-is', without any express or implied
# warranty. In no event will the authors be held liable for any ... | 42.695652 | 99 | 0.735234 |
339fda81b9c470880acae060465b85a254b0eac1 | 3,939 | py | Python | LDPC-library/encode.py | sz3/ProtographLDPC | 0fe057a58d94a2c1f8599c6718e24a027113818c | [
"MIT"
] | 22 | 2020-08-27T00:24:30.000Z | 2021-12-31T07:11:21.000Z | LDPC-library/encode.py | sz3/ProtographLDPC | 0fe057a58d94a2c1f8599c6718e24a027113818c | [
"MIT"
] | 1 | 2021-06-30T16:50:38.000Z | 2021-06-30T16:50:38.000Z | LDPC-library/encode.py | sz3/ProtographLDPC | 0fe057a58d94a2c1f8599c6718e24a027113818c | [
"MIT"
] | 6 | 2020-11-04T11:11:00.000Z | 2021-06-30T16:48:39.000Z | import subprocess
import os
import argparse
import tempfile
if __name__ == '__main__':
main()
| 41.904255 | 101 | 0.551409 |
33a406fd3d5662cdfecad65c9a454e308ebff473 | 274 | py | Python | survivethevoid/utils/math_func.py | LMikeH/SurviveTheVoid | e517870d1dca388a54f8f523879c6c8583101a02 | [
"bzip2-1.0.6"
] | null | null | null | survivethevoid/utils/math_func.py | LMikeH/SurviveTheVoid | e517870d1dca388a54f8f523879c6c8583101a02 | [
"bzip2-1.0.6"
] | null | null | null | survivethevoid/utils/math_func.py | LMikeH/SurviveTheVoid | e517870d1dca388a54f8f523879c6c8583101a02 | [
"bzip2-1.0.6"
] | null | null | null | import numpy as np
if __name__ == "__main__":
a = np.array([0, 1])
print(np.dot(R(180), a))
| 24.909091 | 61 | 0.572993 |
33a43569f2dc889b1051e353b42c5978e08a2be2 | 35 | py | Python | app/__init__.py | lwalter/flask-angular-starter | 31d5468777d429701c8ae0e790458a980fee6837 | [
"MIT"
] | 13 | 2016-03-24T03:12:05.000Z | 2021-03-15T14:58:36.000Z | app/__init__.py | lwalter/flask-angular-starter | 31d5468777d429701c8ae0e790458a980fee6837 | [
"MIT"
] | 7 | 2016-03-24T03:20:05.000Z | 2017-07-19T03:06:13.000Z | app/__init__.py | lwalter/flask-angular-starter | 31d5468777d429701c8ae0e790458a980fee6837 | [
"MIT"
] | 4 | 2017-06-22T05:52:08.000Z | 2022-02-25T15:25:57.000Z | from app.factory import create_app
| 17.5 | 34 | 0.857143 |
33a4eb8004a4d73add7bc089b176207822d20abb | 39,949 | py | Python | darmtbl3.py | TaintTrap/darm | f42b509adabbb3a0fbb87937db33d14c2d213bee | [
"BSD-3-Clause"
] | 104 | 2015-01-01T06:14:40.000Z | 2021-12-11T08:05:03.000Z | darmtbl3.py | z4ziggy/darm | f42b509adabbb3a0fbb87937db33d14c2d213bee | [
"BSD-3-Clause"
] | 5 | 2015-02-09T10:16:50.000Z | 2016-04-07T12:58:10.000Z | darmtbl3.py | z4ziggy/darm | f42b509adabbb3a0fbb87937db33d14c2d213bee | [
"BSD-3-Clause"
] | 18 | 2015-02-09T02:36:19.000Z | 2019-07-19T15:29:20.000Z | from darmtbl2 import Bitsize, Rn, Rm, Rt, Rt2
from darmtbl2 import i, imm3, imm4, imm6, imm8, imm4H, imm4L
from darmtbl2 import P, W, D, N, M, cond
Vd = Bitsize('Vd', 4, 'Vector Destination Register')
Vn = Bitsize('Vn', 4, 'Vector Source Register')
Vm = Bitsize('Vm', 4, 'Second Vector Source Register')... | 101.136709 | 132 | 0.395329 |
33a5d6a0778311e0740b6ce7a927d2f68fa7baf5 | 380 | py | Python | lang/tags/data_null.py | ghouston/knausj_talon | 098bb3e89261b19f4b2eda0ca0696f398c50e931 | [
"MIT"
] | 5 | 2020-02-16T13:39:10.000Z | 2020-02-19T19:29:56.000Z | lang/tags/data_null.py | ghouston/knausj_talon | 098bb3e89261b19f4b2eda0ca0696f398c50e931 | [
"MIT"
] | null | null | null | lang/tags/data_null.py | ghouston/knausj_talon | 098bb3e89261b19f4b2eda0ca0696f398c50e931 | [
"MIT"
] | 2 | 2020-02-19T15:10:44.000Z | 2020-02-19T16:55:38.000Z | from talon import Context, Module
ctx = Context()
mod = Module()
mod.tag("code_data_null", desc="Tag for enabling commands relating to null")
| 20 | 76 | 0.665789 |
33a71005f3058f76ab1ae55200dbe62d59fe1b2f | 17,810 | py | Python | epidemiology_model.py | sei-international/epidemic-macro-model | 9bb4089c1ed031376304d3024b5593525132d0a7 | [
"Apache-2.0"
] | 4 | 2021-12-17T18:54:49.000Z | 2022-01-03T20:52:17.000Z | epidemiology_model.py | sei-international/epidemic-macro-model | 9bb4089c1ed031376304d3024b5593525132d0a7 | [
"Apache-2.0"
] | null | null | null | epidemiology_model.py | sei-international/epidemic-macro-model | 9bb4089c1ed031376304d3024b5593525132d0a7 | [
"Apache-2.0"
] | null | null | null | from numpy import array as np_array, zeros as np_zeros, sum as np_sum, empty as np_empty, \
amax as np_amax, interp as np_interp, ones as np_ones, tile as np_tile, isnan as np_isnan
import yaml
from seir_model import SEIR_matrix
from common import Window, get_datetime, timesteps_between_dates, get_datetime_arra... | 56.719745 | 178 | 0.607805 |
33a772f892d4ed50cf326d5af75052977fcc4c7b | 695 | py | Python | body/tests/test_medicine.py | dylanjboyd/bodytastic | ee2299ba523c8c6b627028d70ab32b6da97cb2ea | [
"MIT"
] | null | null | null | body/tests/test_medicine.py | dylanjboyd/bodytastic | ee2299ba523c8c6b627028d70ab32b6da97cb2ea | [
"MIT"
] | 81 | 2022-03-04T23:46:02.000Z | 2022-03-19T13:06:46.000Z | body/tests/test_medicine.py | dylanjboyd/bodytastic | ee2299ba523c8c6b627028d70ab32b6da97cb2ea | [
"MIT"
] | null | null | null | from body.tests.login_test_case import LoginTestCase
from body.tests.model_helpers import create_ledger_entry, create_medicine
from freezegun import freeze_time
from django.utils.timezone import make_aware, datetime
| 38.611111 | 95 | 0.755396 |
33a790e4cc50cc09ac9352f7aad0bd45b97fcd11 | 84 | py | Python | src/apps/users/forms/__init__.py | sanderland/katago-server | 6414fab080d007c05068a06ff4f25907b92848bd | [
"MIT"
] | 27 | 2020-05-03T11:01:27.000Z | 2022-03-17T05:33:10.000Z | src/apps/users/forms/__init__.py | sanderland/katago-server | 6414fab080d007c05068a06ff4f25907b92848bd | [
"MIT"
] | 54 | 2020-05-09T01:18:41.000Z | 2022-01-22T10:31:15.000Z | src/apps/users/forms/__init__.py | sanderland/katago-server | 6414fab080d007c05068a06ff4f25907b92848bd | [
"MIT"
] | 9 | 2020-09-29T11:31:32.000Z | 2022-03-09T01:37:50.000Z | from .user_change import UserChangeForm
from .user_creation import UserCreationForm
| 28 | 43 | 0.880952 |
33a9396a5c748b360eebc18de6c808b8faa43521 | 20,818 | py | Python | bqskit/utils/test/types.py | BQSKit/bqskit | 8471f28299a7fb49a2d9d82b24e49c331c9dec22 | [
"BSD-3-Clause-LBNL"
] | 13 | 2021-05-26T21:32:26.000Z | 2022-03-15T17:48:10.000Z | bqskit/utils/test/types.py | BQSKit/bqskit | 8471f28299a7fb49a2d9d82b24e49c331c9dec22 | [
"BSD-3-Clause-LBNL"
] | 20 | 2021-05-26T20:17:15.000Z | 2022-02-27T20:04:10.000Z | bqskit/utils/test/types.py | BQSKit/bqskit | 8471f28299a7fb49a2d9d82b24e49c331c9dec22 | [
"BSD-3-Clause-LBNL"
] | 2 | 2021-10-05T16:00:47.000Z | 2021-10-08T01:30:06.000Z | """This module contains functions to generate strategies from annotations."""
from __future__ import annotations
import collections
import inspect
import sys
from itertools import chain
from itertools import combinations
from typing import Any
from typing import Callable
from typing import Iterable
from typing import ... | 35.893103 | 80 | 0.619944 |
33a977da8d2c47f04abb08e18a45125c2af8f923 | 3,600 | py | Python | reframechecks/mpip/mpip.py | reframe-hpc/hpctools | ad3efe478334fabb7f64aa3d1566c88e4c488aaf | [
"BSD-3-Clause"
] | 3 | 2020-02-18T12:48:08.000Z | 2021-02-06T01:43:30.000Z | reframechecks/mpip/mpip.py | reframe-hpc/hpctools | ad3efe478334fabb7f64aa3d1566c88e4c488aaf | [
"BSD-3-Clause"
] | 5 | 2020-03-28T11:59:57.000Z | 2020-08-28T08:46:02.000Z | reframechecks/mpip/mpip.py | reframe-hpc/hpctools | ad3efe478334fabb7f64aa3d1566c88e4c488aaf | [
"BSD-3-Clause"
] | 3 | 2020-03-17T16:10:56.000Z | 2020-07-10T06:24:34.000Z | # Copyright 2019-2021 Swiss National Supercomputing Centre (CSCS/ETH Zurich)
# HPCTools Project Developers. See the top-level LICENSE file for details.
#
# SPDX-License-Identifier: BSD-3-Clause
import os
import sys
import reframe as rfm
import reframe.utility.sanity as sn
sys.path.append(os.path.abspath(os.path.join(o... | 34.951456 | 79 | 0.570833 |
33a9e48d845125b9644014be228bb6ef28ca1951 | 4,743 | py | Python | Forward_Warp/python/forward_warp_python.py | hologerry/Forward-Warp | 82a32a372383b3c69f9666cb5b8189dbfb05d328 | [
"MIT"
] | 81 | 2019-07-04T20:51:34.000Z | 2022-03-26T15:58:42.000Z | Forward_Warp/python/forward_warp_python.py | wbhu/Forward-Warp | 90e7e32f2c0e666ffc029b7b274b30b3a45cd3ce | [
"MIT"
] | 9 | 2020-05-04T04:59:16.000Z | 2021-12-21T19:06:31.000Z | Forward_Warp/python/forward_warp_python.py | wbhu/Forward-Warp | 90e7e32f2c0e666ffc029b7b274b30b3a45cd3ce | [
"MIT"
] | 9 | 2019-09-04T02:09:12.000Z | 2021-11-27T09:31:49.000Z | import torch
from torch.nn import Module, Parameter
from torch.autograd import Function
| 46.5 | 81 | 0.356525 |
33aa02868cbd8dfb15a12fdd973d56d5d7e99fb1 | 10,890 | py | Python | slingen/src/algogen/Algorithm.py | danielesgit/slingen | e7cfee7f6f2347b57eb61a077746c9309a85411c | [
"BSD-3-Clause"
] | 23 | 2018-03-13T07:52:26.000Z | 2022-03-24T02:32:00.000Z | SRC/Algorithm.py | dfabregat/Cl1ck | d9ae627f0616dc23b1f98ff41ce94f43926bb2b0 | [
"BSD-3-Clause"
] | 2 | 2018-09-28T18:29:25.000Z | 2019-02-20T13:22:19.000Z | SRC/Algorithm.py | dfabregat/Cl1ck | d9ae627f0616dc23b1f98ff41ce94f43926bb2b0 | [
"BSD-3-Clause"
] | 3 | 2018-06-13T13:51:57.000Z | 2020-01-11T14:47:02.000Z | import itertools
import Partitioning
# Flattens a matrix of matrices resulting from a repartitioning
| 39.314079 | 118 | 0.485399 |
33aa970f90cce46880eed9d5a6bf196cf7546cbc | 939 | py | Python | NbSe2/PBE-0.01/5-epw/epc_plot.py | sinansevim/EBT617E | 0907846e09173b419dfb6c3a5eae20c3ef8548bb | [
"MIT"
] | 1 | 2021-03-12T13:16:39.000Z | 2021-03-12T13:16:39.000Z | NbSe2/PBE-0.01/5-epw/epc_plot.py | sinansevim/EBT617E | 0907846e09173b419dfb6c3a5eae20c3ef8548bb | [
"MIT"
] | null | null | null | NbSe2/PBE-0.01/5-epw/epc_plot.py | sinansevim/EBT617E | 0907846e09173b419dfb6c3a5eae20c3ef8548bb | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
import matplotlib.gridspec as gs
import sys
data = np.loadtxt('NbSe2.freq.gp')
symmetryfile = 'plotband.out'
lbd = np.loadtxt("lambda.dat")
lbd_val = np.where(lbd<1 , lbd, 1)
x=np.tile(data.T[0],9)
val = lbd_val.T[1:].reshape(-1)
y=data.T... | 28.454545 | 74 | 0.668797 |
33ac31110619eeecf53e6d049d77405ba061c204 | 341 | py | Python | CA117/Lab_5/numcomps_32.py | PRITI1999/OneLineWonders | 91a7368e0796e5a3b5839c9165f9fbe5460879f5 | [
"MIT"
] | 6 | 2016-02-04T00:15:20.000Z | 2019-10-13T13:53:16.000Z | CA117/Lab_5/numcomps_32.py | PRITI1999/OneLineWonders | 91a7368e0796e5a3b5839c9165f9fbe5460879f5 | [
"MIT"
] | 2 | 2016-03-14T04:01:36.000Z | 2019-10-16T12:45:34.000Z | CA117/Lab_5/numcomps_32.py | PRITI1999/OneLineWonders | 91a7368e0796e5a3b5839c9165f9fbe5460879f5 | [
"MIT"
] | 10 | 2016-02-09T14:38:32.000Z | 2021-05-25T08:16:26.000Z | print(("Multiples of {}: {}\n"*6).format("3",[n for n in range(1,31)if not n%3],"3 squared",[n**2for n in range(1,31)if not n%3],"4 doubled",[n*2for n in range(1,31)if not n%4],"3 or 4",[n for n in range(1,31)if not(n%4and n%3)],"3 and 4",[n for n in range(1,31)if not(n%4or n%3)],"3 replaced",[n%3and n or'X'for n in ra... | 170.5 | 340 | 0.609971 |
33ac8b55bf9e88be389ec358327a0af6df0dcc61 | 5,594 | py | Python | pydeconz/group.py | Lokaltog/deconz | 88c726c0ed4c320af3caa82f2c2fb60937ea186a | [
"MIT"
] | null | null | null | pydeconz/group.py | Lokaltog/deconz | 88c726c0ed4c320af3caa82f2c2fb60937ea186a | [
"MIT"
] | null | null | null | pydeconz/group.py | Lokaltog/deconz | 88c726c0ed4c320af3caa82f2c2fb60937ea186a | [
"MIT"
] | null | null | null | """Python library to connect deCONZ and Home Assistant to work together."""
import logging
from .light import DeconzLightBase
_LOGGER = logging.getLogger(__name__)
class DeconzScene:
"""deCONZ scene representation.
Dresden Elektroniks documentation of scenes in deCONZ
http://dresden-elektronik.github... | 29.442105 | 78 | 0.604934 |
33ad3f8d85b0ae17f8d1f68deb1a77ffc336a163 | 155 | py | Python | nocolon_main.py | paradoxxxzero/nocolon | 80bffe09e200b148cd836fd8289c59f2cd33719b | [
"BSD-3-Clause"
] | 73 | 2015-05-08T09:22:03.000Z | 2021-05-20T15:17:18.000Z | nocolon_main.py | paradoxxxzero/nocolon | 80bffe09e200b148cd836fd8289c59f2cd33719b | [
"BSD-3-Clause"
] | 3 | 2017-05-12T20:57:10.000Z | 2017-05-15T10:10:30.000Z | nocolon_main.py | paradoxxxzero/nocolon | 80bffe09e200b148cd836fd8289c59f2cd33719b | [
"BSD-3-Clause"
] | 5 | 2016-10-21T09:29:39.000Z | 2017-11-15T19:16:29.000Z | # Import the encoding
import nocolon
# Now you can import files with the nocolon encoding:
from nocolon_test import nocolon_function
nocolon_function(4)
| 19.375 | 53 | 0.819355 |
33adb93bec718e8a93becbae4939a6d055886757 | 1,033 | py | Python | yarlp/tests/agent_tests/test_ddqn.py | btaba/yarlp | e6bc70afe32f8617f56180d60d6a100c83868119 | [
"MIT"
] | 12 | 2018-02-26T05:00:24.000Z | 2020-01-07T03:04:47.000Z | yarlp/tests/agent_tests/test_ddqn.py | btaba/yarlp | e6bc70afe32f8617f56180d60d6a100c83868119 | [
"MIT"
] | 6 | 2018-10-23T17:43:57.000Z | 2022-02-10T00:00:24.000Z | yarlp/tests/agent_tests/test_ddqn.py | btaba/yarlp | e6bc70afe32f8617f56180d60d6a100c83868119 | [
"MIT"
] | 1 | 2018-08-20T23:47:41.000Z | 2018-08-20T23:47:41.000Z | """
Regression tests for the REINFORCE agent on OpenAI gym environments
"""
import pytest
import numpy as np
import shutil
from yarlp.utils.env_utils import NormalizedGymEnv
from yarlp.agent.ddqn_agent import DDQNAgent
env = NormalizedGymEnv(
'PongNoFrameskip-v4',
is_atari=True
)
| 21.978723 | 71 | 0.648596 |
33aee20a7b69a67ee353d635818abf32c9a23996 | 555 | py | Python | arbeitsplan/migrations/0009_mitglied_arbeitslast.py | hkarl/svpb | 29aab0065ff69c7c4d52812508167514d635cab9 | [
"Apache-2.0"
] | 3 | 2015-02-20T14:53:17.000Z | 2020-12-01T19:29:14.000Z | arbeitsplan/migrations/0009_mitglied_arbeitslast.py | hkarl/svpb | 29aab0065ff69c7c4d52812508167514d635cab9 | [
"Apache-2.0"
] | 67 | 2015-01-06T19:48:59.000Z | 2022-03-20T16:56:22.000Z | arbeitsplan/migrations/0009_mitglied_arbeitslast.py | hkarl/svpb | 29aab0065ff69c7c4d52812508167514d635cab9 | [
"Apache-2.0"
] | 2 | 2015-12-07T09:21:10.000Z | 2015-12-30T18:36:53.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
| 26.428571 | 159 | 0.646847 |
33aefac32f09c23801a6116bba41fc7dfac6eba4 | 789 | py | Python | fedireads/activitypub/__init__.py | johnbartholomew/bookwyrm | a6593eced7db88f0a68bd19a0e6ba441bf1053c3 | [
"CC0-1.0"
] | null | null | null | fedireads/activitypub/__init__.py | johnbartholomew/bookwyrm | a6593eced7db88f0a68bd19a0e6ba441bf1053c3 | [
"CC0-1.0"
] | null | null | null | fedireads/activitypub/__init__.py | johnbartholomew/bookwyrm | a6593eced7db88f0a68bd19a0e6ba441bf1053c3 | [
"CC0-1.0"
] | null | null | null | ''' bring activitypub functions into the namespace '''
from .actor import get_actor
from .book import get_book, get_author, get_shelf
from .create import get_create, get_update
from .follow import get_following, get_followers
from .follow import get_follow_request, get_unfollow, get_accept, get_reject
from .outbox impo... | 46.411765 | 76 | 0.844106 |
33b07a2a4560968ed7e8bf918e25e34e366baaa5 | 8,110 | py | Python | example.py | DesmondTMB/i3pyblocks | 4732340ba45bf6b6b7b5bd3ff3c32af3796e7fa3 | [
"MIT"
] | 15 | 2020-09-19T20:18:34.000Z | 2021-06-12T15:16:02.000Z | example.py | DesmondTMB/i3pyblocks | 4732340ba45bf6b6b7b5bd3ff3c32af3796e7fa3 | [
"MIT"
] | 141 | 2019-08-13T23:38:47.000Z | 2021-11-10T16:20:34.000Z | example.py | DesmondTMB/i3pyblocks | 4732340ba45bf6b6b7b5bd3ff3c32af3796e7fa3 | [
"MIT"
] | 2 | 2021-05-24T17:04:35.000Z | 2021-11-09T00:43:13.000Z | #!/usr/bin/env python3
import asyncio
import logging
import signal
from pathlib import Path
import psutil
from i3pyblocks import Runner, types, utils
from i3pyblocks.blocks import ( # shell,
datetime,
dbus,
http,
i3ipc,
inotify,
ps,
pulse,
x11,
)
# Configure logging, so we can have ... | 34.219409 | 87 | 0.606165 |
33b1e4daad97a94cb573d3a29eb181822c6e57a2 | 9,131 | py | Python | context_nmt/pipelines/context_indicators_generator.py | jesa7955/context-translation | 3cb1f4fdcf5a6829eea02d6008c4c4d7ba5ad993 | [
"MIT"
] | 2 | 2020-01-22T05:18:19.000Z | 2021-11-14T17:18:46.000Z | context_nmt/pipelines/context_indicators_generator.py | jesa7955/context-translation | 3cb1f4fdcf5a6829eea02d6008c4c4d7ba5ad993 | [
"MIT"
] | 1 | 2020-03-31T11:03:22.000Z | 2020-03-31T11:03:22.000Z | context_nmt/pipelines/context_indicators_generator.py | jesa7955/context-translation | 3cb1f4fdcf5a6829eea02d6008c4c4d7ba5ad993 | [
"MIT"
] | null | null | null | import collections
import logging
import json
import os
import luigi
import gokart
import tqdm
import torch
import sentencepiece as spm
import sacrebleu
import MeCab
from fairseq.models.transformer import TransformerModel
from fairseq.data import LanguagePairDataset
from context_nmt.pipelines.conversation_dataset_mer... | 42.868545 | 88 | 0.54419 |
33b33555cc6216929a203498dda0d15a42f493e0 | 855 | py | Python | log_task_id.py | Sendhub/flashk_util | fe42c117be6a9e9655e38cd48a3104b6144873ba | [
"BSD-3-Clause"
] | null | null | null | log_task_id.py | Sendhub/flashk_util | fe42c117be6a9e9655e38cd48a3104b6144873ba | [
"BSD-3-Clause"
] | 1 | 2016-01-20T22:13:53.000Z | 2016-01-20T22:13:53.000Z | log_task_id.py | Sendhub/flashk_util | fe42c117be6a9e9655e38cd48a3104b6144873ba | [
"BSD-3-Clause"
] | null | null | null | import logging
from celery._state import get_current_task
| 27.580645 | 74 | 0.612865 |
33b43ed36a9638956d846bca8d46fb665ecc2a68 | 2,295 | py | Python | e/mail-relay/web/apps/localized_mail/models.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | null | null | null | e/mail-relay/web/apps/localized_mail/models.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | 18 | 2020-06-05T18:17:40.000Z | 2022-03-11T23:25:21.000Z | e/mail-relay/web/apps/localized_mail/models.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | null | null | null | #coding=utf-8
import os
from django.db import models
from django.contrib.auth.models import User
from django.conf import settings
from apps.core.models import Customer
CHECK_RESULT = (
('', '--'),
('high_risk', u''),
('sender_blacklist', u''),
('keyword_blacklist', u''),
('subject_blacklist', u'')... | 38.898305 | 119 | 0.67756 |
33b740adf83b98dff3bbdd2ad1fbbad7dd39228a | 2,691 | py | Python | src/softfab/pages/InspectDone.py | boxingbeetle/softfab | 0ecf899f66a1fb046ee869cbfa3b5374b3f8aa14 | [
"BSD-3-Clause"
] | 20 | 2019-02-07T17:03:04.000Z | 2020-03-16T20:45:19.000Z | src/softfab/pages/InspectDone.py | boxingbeetle/softfab | 0ecf899f66a1fb046ee869cbfa3b5374b3f8aa14 | [
"BSD-3-Clause"
] | 36 | 2019-02-11T08:57:16.000Z | 2020-09-29T05:32:08.000Z | src/softfab/pages/InspectDone.py | boxingbeetle/softfab | 0ecf899f66a1fb046ee869cbfa3b5374b3f8aa14 | [
"BSD-3-Clause"
] | null | null | null | # SPDX-License-Identifier: BSD-3-Clause
from typing import ClassVar, Mapping, cast
from softfab.ControlPage import ControlPage
from softfab.Page import InvalidRequest, PageProcessor
from softfab.pageargs import DictArg, EnumArg, StrArg
from softfab.pagelinks import TaskIdArgs
from softfab.request import Request
from ... | 36.364865 | 79 | 0.623932 |
33b8da2d72ef09ad6eef64de8e3cb74d42aa9d37 | 414 | py | Python | src/uwds3_core/estimation/dense_optical_flow_estimator.py | underworlds-robot/uwds3_core | 3aec39f83ec5ba2c0b70485aa23bf6eeaedeeda7 | [
"MIT"
] | 1 | 2021-06-08T02:55:15.000Z | 2021-06-08T02:55:15.000Z | src/uwds3_core/estimation/dense_optical_flow_estimator.py | underworlds-robot/uwds3_core | 3aec39f83ec5ba2c0b70485aa23bf6eeaedeeda7 | [
"MIT"
] | null | null | null | src/uwds3_core/estimation/dense_optical_flow_estimator.py | underworlds-robot/uwds3_core | 3aec39f83ec5ba2c0b70485aa23bf6eeaedeeda7 | [
"MIT"
] | null | null | null | import cv2
| 27.6 | 102 | 0.644928 |
33bb74b917e15d0d3580148ef539ee108a577454 | 2,071 | py | Python | 2020/day-22/day-22.py | mrMetalWood/advent-of-code | b850aa50474c622e23e924c5da53775b4cae05b2 | [
"MIT"
] | 1 | 2018-12-02T12:38:31.000Z | 2018-12-02T12:38:31.000Z | 2020/day-22/day-22.py | mrMetalWood/advent-of-code | b850aa50474c622e23e924c5da53775b4cae05b2 | [
"MIT"
] | 7 | 2020-07-16T14:03:31.000Z | 2020-12-02T10:46:49.000Z | 2020/day-22/day-22.py | mrMetalWood/advent-of-code | b850aa50474c622e23e924c5da53775b4cae05b2 | [
"MIT"
] | null | null | null | import os
from copy import deepcopy
with open(os.path.join(os.path.dirname(__file__), "input.txt"), "r") as file:
lines = [l.strip() for l in file.readlines()]
p1 = list(reversed([int(i) for i in lines[1:26]]))
p2 = list(reversed([int(i) for i in lines[28:]]))
print(f"Part 1: {part1(deepcopy(p1), deepc... | 27.25 | 85 | 0.522453 |
33bd39e35c4992a15a6d443f02ff02fed9014dd8 | 2,075 | py | Python | Exercise05/5-30.py | ywyz/IntroducingToProgrammingUsingPython | 614d59eacb7e37aece871a00f7d1518f7de88708 | [
"Apache-2.0"
] | null | null | null | Exercise05/5-30.py | ywyz/IntroducingToProgrammingUsingPython | 614d59eacb7e37aece871a00f7d1518f7de88708 | [
"Apache-2.0"
] | null | null | null | Exercise05/5-30.py | ywyz/IntroducingToProgrammingUsingPython | 614d59eacb7e37aece871a00f7d1518f7de88708 | [
"Apache-2.0"
] | null | null | null | '''
@Date: 2019-11-02 09:19:19
@Author: ywyz
@LastModifiedBy: ywyz
@Github: https://github.com/ywyz
@LastEditors: ywyz
@LastEditTime: 2019-11-02 10:13:44
'''
year = eval(input("Enter the year: "))
day = eval(input("Enter the day of the week: "))
for months in range(1, 13):
if months == 1:
month = "January"... | 26.948052 | 68 | 0.52 |
33be9763c347a4744c14215a01a14f94308620b5 | 587 | py | Python | insights_messaging/downloaders/s3.py | dpensi/insights-core-messaging | a964cecdf5cbb57407dae9e9208a31fc5e9318e4 | [
"Apache-2.0"
] | 6 | 2019-12-12T14:19:30.000Z | 2020-04-08T16:20:04.000Z | insights_messaging/downloaders/s3.py | dpensi/insights-core-messaging | a964cecdf5cbb57407dae9e9208a31fc5e9318e4 | [
"Apache-2.0"
] | 14 | 2020-01-27T17:04:39.000Z | 2021-03-16T15:18:30.000Z | insights_messaging/downloaders/s3.py | dpensi/insights-core-messaging | a964cecdf5cbb57407dae9e9208a31fc5e9318e4 | [
"Apache-2.0"
] | 13 | 2019-12-16T09:32:38.000Z | 2021-05-05T12:39:38.000Z | import shutil
from contextlib import contextmanager
from tempfile import NamedTemporaryFile
from s3fs import S3FileSystem
| 26.681818 | 69 | 0.647359 |
33bea67e17e2e48816f3acbadb4afec665fa95a1 | 142 | py | Python | Code/hypers.py | taoqi98/KIM | dc897026d5a639a9a554d06ac036b121fcbcf6a0 | [
"MIT"
] | 7 | 2021-08-13T12:43:17.000Z | 2022-03-24T11:25:52.000Z | Code/hypers.py | JulySinceAndrew/KIM-SIGIR-2021 | 87b1c21f79a5389cc4a0d122e7ded5f63a63da28 | [
"MIT"
] | 5 | 2021-07-20T07:27:05.000Z | 2022-02-25T07:28:39.000Z | Code/hypers.py | JulySinceAndrew/KIM-SIGIR-2021 | 87b1c21f79a5389cc4a0d122e7ded5f63a63da28 | [
"MIT"
] | null | null | null | MAX_SENTENCE = 30
MAX_ALL = 50
MAX_SENT_LENGTH=MAX_SENTENCE
MAX_SENTS=MAX_ALL
max_entity_num = 10
num = 100
num1 = 200
num2 = 100
npratio=4
| 11.833333 | 28 | 0.774648 |
33bf14c77a779be90d64a6d8759da4a08a0088fa | 1,022 | py | Python | ai-control/mirror.py | futurice/maximum-aittack | 6b39e7987f6c142cc80f186043c4348f01743850 | [
"MIT"
] | null | null | null | ai-control/mirror.py | futurice/maximum-aittack | 6b39e7987f6c142cc80f186043c4348f01743850 | [
"MIT"
] | null | null | null | ai-control/mirror.py | futurice/maximum-aittack | 6b39e7987f6c142cc80f186043c4348f01743850 | [
"MIT"
] | null | null | null | import os, json
from PIL import Image
import numpy as np
from skimage import io
basePath = './log/log_joku/'
json_files = [pos_json for pos_json in os.listdir(basePath) if pos_json.endswith('.json')]
for file in json_files:
if file != 'meta.json':
#print(file)
with open(basePath + file) as f:
... | 37.851852 | 90 | 0.572407 |
33c1247fa87d16457ea55bc1e3f8ebb9f2eb5bf2 | 21 | py | Python | portfolios/trader/__init__.py | ahwkuepper/portfolio | 4ab6eebbb36c6064d58df62dbe931ead3b297be4 | [
"BSD-3-Clause"
] | 4 | 2020-08-18T09:52:37.000Z | 2021-03-26T19:59:03.000Z | portfolios/trader/__init__.py | ahwkuepper/portfolio | 4ab6eebbb36c6064d58df62dbe931ead3b297be4 | [
"BSD-3-Clause"
] | 4 | 2019-07-06T17:48:46.000Z | 2020-05-11T01:40:18.000Z | portfolios/trader/__init__.py | ahwkuepper/portfolio | 4ab6eebbb36c6064d58df62dbe931ead3b297be4 | [
"BSD-3-Clause"
] | 2 | 2019-02-28T08:02:47.000Z | 2019-07-09T04:23:23.000Z | __all__ = ["orders"]
| 10.5 | 20 | 0.619048 |
33c380aba8f0a3a85e233adf8c61cab373192d50 | 5,474 | py | Python | gym_holdem/holdem/player.py | pokeraigym/PokerAI | 8f768704aaacf40c39af724c4d3cc1c68db58b00 | [
"MIT"
] | null | null | null | gym_holdem/holdem/player.py | pokeraigym/PokerAI | 8f768704aaacf40c39af724c4d3cc1c68db58b00 | [
"MIT"
] | null | null | null | gym_holdem/holdem/player.py | pokeraigym/PokerAI | 8f768704aaacf40c39af724c4d3cc1c68db58b00 | [
"MIT"
] | null | null | null | from gym_holdem.holdem.bet_round import BetRound
from gym_holdem.holdem.poker_rule_violation_exception import PokerRuleViolationException
from pokereval_cactus import Card
| 33.175758 | 183 | 0.598465 |
33c4d9cd799c0848aed6273bf409593aceac5368 | 1,441 | py | Python | app.py | abdur75648/ai-image-generator | 82b10d1360efb2af9afbc580744eca4d9763c687 | [
"MIT"
] | null | null | null | app.py | abdur75648/ai-image-generator | 82b10d1360efb2af9afbc580744eca4d9763c687 | [
"MIT"
] | null | null | null | app.py | abdur75648/ai-image-generator | 82b10d1360efb2af9afbc580744eca4d9763c687 | [
"MIT"
] | 1 | 2022-03-05T20:48:08.000Z | 2022-03-05T20:48:08.000Z | from flask import Flask, request, send_from_directory, redirect, send_file, render_template
import os,cv2
import neuralStyleProcess
app = Flask(__name__)
APP_ROOT = os.path.dirname(os.path.abspath(__file__))
# This function takes the parameter name <filename>
if __name__ == '__main__':
app.run()
| 30.020833 | 91 | 0.746704 |
33c563ef96dc01994469a37d5d17819ff8a430d8 | 9,678 | py | Python | src/mappings_validator.py | center-for-threat-informed-defense/attack_to_veris | e5305debf7b5eb35704628dd02d3ce0d45ee0e32 | [
"Apache-2.0"
] | 35 | 2021-08-28T05:11:11.000Z | 2022-02-24T05:50:59.000Z | src/mappings_validator.py | center-for-threat-informed-defense/attack_to_veris | e5305debf7b5eb35704628dd02d3ce0d45ee0e32 | [
"Apache-2.0"
] | 1 | 2021-09-16T00:32:19.000Z | 2021-09-16T00:35:59.000Z | src/mappings_validator.py | center-for-threat-informed-defense/attack_to_veris | e5305debf7b5eb35704628dd02d3ce0d45ee0e32 | [
"Apache-2.0"
] | 1 | 2021-12-07T13:10:12.000Z | 2021-12-07T13:10:12.000Z | # Copyright (c) 2021, MITRE Engenuity. Approved for public release.
# See LICENSE for complete terms.
import argparse
import json
import pathlib
import numpy
import requests
from src.create_mappings import get_sheets, get_sheet_by_name
def get_mappings_file(mappings_location):
"""Returns the ATT&CK VERIS mapp... | 39.82716 | 117 | 0.646828 |
33c5b1377d8bbccb253528d320f78fa3c49f64f2 | 2,015 | py | Python | cases/config_d1_tno_art.py | micstein89/cosmo-emission-processing | 7628b6354abb80c7c69b1f13ac3d1757f0455272 | [
"CC-BY-4.0"
] | null | null | null | cases/config_d1_tno_art.py | micstein89/cosmo-emission-processing | 7628b6354abb80c7c69b1f13ac3d1757f0455272 | [
"CC-BY-4.0"
] | null | null | null | cases/config_d1_tno_art.py | micstein89/cosmo-emission-processing | 7628b6354abb80c7c69b1f13ac3d1757f0455272 | [
"CC-BY-4.0"
] | null | null | null | # "constant" paths and values for TNO, regular lat/lon
# for MeteoTest Swiss inventory, use calculated regular domain in the code
import os
import time
from emiproc.grids import COSMOGrid, TNOGrid
# inventory
inventory = 'TNO'
# model either "cosmo-art" or "cosmo-ghg" (affects the output units)
model = 'cosmo-art'
... | 23.988095 | 87 | 0.649132 |
33c69f7358ad122b465adeb2350740a2a675b997 | 45,876 | py | Python | spytest/apis/system/ztp.py | shubav/sonic-mgmt | 0ff71b907a55489bb4ed7d17b1682380fd459bf2 | [
"Apache-2.0"
] | 132 | 2016-10-19T12:34:44.000Z | 2022-03-16T09:00:39.000Z | spytest/apis/system/ztp.py | shubav/sonic-mgmt | 0ff71b907a55489bb4ed7d17b1682380fd459bf2 | [
"Apache-2.0"
] | 3,152 | 2016-09-21T23:05:58.000Z | 2022-03-31T23:29:08.000Z | spytest/apis/system/ztp.py | shubav/sonic-mgmt | 0ff71b907a55489bb4ed7d17b1682380fd459bf2 | [
"Apache-2.0"
] | 563 | 2016-09-20T01:00:15.000Z | 2022-03-31T22:43:54.000Z | # This file contains the list of API's for operations on ZTP
# @author : Chaitanya Vella (chaitanya-vella.kumar@broadcom.com)
from spytest import st
import apis.system.basic as basic_obj
import utilities.utils as utils_obj
import apis.system.switch_configuration as switch_conf_obj
import apis.system.interface as intf_o... | 48.960512 | 180 | 0.637545 |
33c6fc7c6a43f33fca1acd3e80bf340a6e154be0 | 2,881 | py | Python | pisces/algid.py | danieljohnlewis/pisces | 7e7ed9c87692c01b591e14db73a3a7047992e91c | [
"MIT"
] | 1 | 2021-02-03T23:05:19.000Z | 2021-02-03T23:05:19.000Z | pisces/algid.py | danieljohnlewis/pisces | 7e7ed9c87692c01b591e14db73a3a7047992e91c | [
"MIT"
] | null | null | null | pisces/algid.py | danieljohnlewis/pisces | 7e7ed9c87692c01b591e14db73a3a7047992e91c | [
"MIT"
] | 1 | 2017-04-05T16:11:11.000Z | 2017-04-05T16:11:11.000Z | """Handle for X.509 AlgorithmIdentifier objects
This module understands a minimal number of OIDS, just enough X.509
stuff needed for PKCS 1 & 7.
"""
import types
from pisces import asn1
oid_dsa = asn1.OID((1, 2, 840, 10040, 4, 1))
oid_dsa_sha1 = asn1.OID((1, 2, 840, 10040, 4, 3))
oid_rsa = asn1.OID((1, 2, 840, 1135... | 31.659341 | 132 | 0.596668 |
33c729c649ab0cb56e1862e14fe0847fbb9b4398 | 230 | py | Python | exercicios/Lista3/Q31.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | exercicios/Lista3/Q31.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | exercicios/Lista3/Q31.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | #Faa um programa que calcule e escreva o valor de S
# S=1/1+3/2+5/3+7/4...99/50
u=1
valores=[]
for c in range(1,100):
if(c%2==1):
valores.append(round(c/u,2))
u+=1
print(valores)
print(f"S = {sum(valores)}")
| 19.166667 | 52 | 0.586957 |
33c94b4ecccf7fc17e12956a7c221ae80de3cbe0 | 3,138 | py | Python | examples/for_debug.py | gottadiveintopython/kivyx.uix.drawer | a4de9c8ee65892c16278499f1134b93678a5a01b | [
"MIT"
] | null | null | null | examples/for_debug.py | gottadiveintopython/kivyx.uix.drawer | a4de9c8ee65892c16278499f1134b93678a5a01b | [
"MIT"
] | null | null | null | examples/for_debug.py | gottadiveintopython/kivyx.uix.drawer | a4de9c8ee65892c16278499f1134b93678a5a01b | [
"MIT"
] | null | null | null | from kivy.app import runTouchApp
from kivy.properties import StringProperty
from kivy.uix.button import Button
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.gridlayout import GridLayout
from kivy.lang import Builder
from kivyx.uix.drawer import KXDrawer
root = Builder.load_string(r'''
<Numpad>:
cols: ... | 24.904762 | 66 | 0.500319 |
33c9781fcf45373b7d579f4efc46dbb1d61f2088 | 2,781 | py | Python | nlppcfg.py | mrlongzhang/classicnlp | 99b8e7a103c386d8950536eae45a1fa7291968df | [
"MIT"
] | null | null | null | nlppcfg.py | mrlongzhang/classicnlp | 99b8e7a103c386d8950536eae45a1fa7291968df | [
"MIT"
] | null | null | null | nlppcfg.py | mrlongzhang/classicnlp | 99b8e7a103c386d8950536eae45a1fa7291968df | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
A Probabiltics Context Free Grammer (PCFG) Parser using Python.
This code implemented a weighted graph search
@author: Zhang Long
"""
import codecs
from collections import defaultdict
import math
f_grammer=".\\test\\08-grammar.txt"
nonterm=[]
preterm=defaultdict(list)
gramm... | 30.56044 | 107 | 0.51708 |
33c9c1f3e9820356f08403598edffbaf83060a2e | 2,876 | py | Python | generator.py | elieahd/data-analytics-kmeans | df44da132cf0de00d870b8865781f4fd78113cfa | [
"MIT"
] | 2 | 2020-10-09T20:13:00.000Z | 2021-06-06T09:18:33.000Z | generator.py | elieahd/data-analytics-kmeans | df44da132cf0de00d870b8865781f4fd78113cfa | [
"MIT"
] | null | null | null | generator.py | elieahd/data-analytics-kmeans | df44da132cf0de00d870b8865781f4fd78113cfa | [
"MIT"
] | 2 | 2018-06-06T08:33:03.000Z | 2018-06-06T09:00:47.000Z | # spark-submit generator.py out 9 3 2 10
# imports
import sys
import random
import numpy
from pyspark import SparkContext
from pyspark.mllib.random import RandomRDDs
# constants
MIN_MEAN_VALUE = 0
MAX_MEAN_VALUE = 100
STEPS = 0.1
# methods
# main code
if len(sys.argv) != 6:
print("6 arguments are needed :")
... | 37.842105 | 189 | 0.705494 |
33cab9736c2b33f9dc7ebf54dc2179461c98e762 | 1,263 | py | Python | testtool.py | andreasscherbaum/pg_commitfest_testtool | 4e40ef441401faddc34861a92f41a9ca60c7560c | [
"BSD-3-Clause"
] | 1 | 2017-10-26T13:52:53.000Z | 2017-10-26T13:52:53.000Z | testtool.py | andreasscherbaum/pg_commitfest_testtool | 4e40ef441401faddc34861a92f41a9ca60c7560c | [
"BSD-3-Clause"
] | null | null | null | testtool.py | andreasscherbaum/pg_commitfest_testtool | 4e40ef441401faddc34861a92f41a9ca60c7560c | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# test tool for PostgreSQL Commitfest website
#
# written by: Andreas Scherbaum <ads@pgug.de>
#
import re
import os
import sys
import logging
import tempfile
import atexit
import shutil
import time
import subprocess
from subprocess import Popen
import socket
import sqlite3
import datetime
from ... | 16.402597 | 71 | 0.699129 |
33ccafc8a5799e67020bb35fde701098ce38149a | 856 | py | Python | coronavirus/common/user_agent.py | StevenHuang2020/WebSpider | 40ab36416e061da3eb98a3174f18f50260b2e2d3 | [
"MIT"
] | null | null | null | coronavirus/common/user_agent.py | StevenHuang2020/WebSpider | 40ab36416e061da3eb98a3174f18f50260b2e2d3 | [
"MIT"
] | null | null | null | coronavirus/common/user_agent.py | StevenHuang2020/WebSpider | 40ab36416e061da3eb98a3174f18f50260b2e2d3 | [
"MIT"
] | null | null | null | import random
from fake_useragent import UserAgent
agent_list = '''Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50
Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50
Mozilla/5.0 (com... | 27.612903 | 137 | 0.682243 |
33cd25b6dee7d0d8f2865e1649e038cc3d930d13 | 5,078 | py | Python | line.py | jurlaub/jubilant-fedora | 829432ff4fb8b3972ad5a1a152ecf6f1f7e94f9b | [
"MIT"
] | null | null | null | line.py | jurlaub/jubilant-fedora | 829432ff4fb8b3972ad5a1a152ecf6f1f7e94f9b | [
"MIT"
] | null | null | null | line.py | jurlaub/jubilant-fedora | 829432ff4fb8b3972ad5a1a152ecf6f1f7e94f9b | [
"MIT"
] | null | null | null |
import numpy as np
from collections import deque
QLEN = 8
| 35.51049 | 144 | 0.613037 |
33cd7255bbba76e2a841f4c023d7958020291128 | 2,730 | py | Python | ex2_graph/tut2_infer_sigma.py | trungnt13/uef_bay1_2018 | 48a0f684eb4d18777d9f03998233774baa0524a8 | [
"MIT"
] | null | null | null | ex2_graph/tut2_infer_sigma.py | trungnt13/uef_bay1_2018 | 48a0f684eb4d18777d9f03998233774baa0524a8 | [
"MIT"
] | 1 | 2018-11-30T16:36:40.000Z | 2018-11-30T16:36:40.000Z | ex2_graph/tut2_infer_sigma.py | trungnt13/uef_bay1_2018 | 48a0f684eb4d18777d9f03998233774baa0524a8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function, division, absolute_import
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
import seaborn as sns
import numpy as np
import tensorflow as tf
tf.enable_eager_execution()
import tensorflow_probability as tfp
from tensorflow_proba... | 30.674157 | 83 | 0.631502 |
33ce3133c0c71236885386e8ce693950822b09d3 | 10,625 | py | Python | torch_geometric_temporal/nn/convolutional/astgcn.py | LFrancesco/pytorch_geometric_temporal | 0964515a6041ce0cceb12e36ed640df22c046b4d | [
"MIT"
] | null | null | null | torch_geometric_temporal/nn/convolutional/astgcn.py | LFrancesco/pytorch_geometric_temporal | 0964515a6041ce0cceb12e36ed640df22c046b4d | [
"MIT"
] | null | null | null | torch_geometric_temporal/nn/convolutional/astgcn.py | LFrancesco/pytorch_geometric_temporal | 0964515a6041ce0cceb12e36ed640df22c046b4d | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.transforms import LaplacianLambdaMax
from torch_geometric.data import Data
from .chebconvatt import ChebConvAtt
| 46.39738 | 168 | 0.640471 |
33d053c085065b6932239fd9d1894cd72e3ecc5e | 1,596 | py | Python | project1/src/utils/preprocessing.py | armand33/deep_learning_epfl | 238ed860716f013a30e29ebd4b0d9c4d0c67d011 | [
"MIT"
] | null | null | null | project1/src/utils/preprocessing.py | armand33/deep_learning_epfl | 238ed860716f013a30e29ebd4b0d9c4d0c67d011 | [
"MIT"
] | null | null | null | project1/src/utils/preprocessing.py | armand33/deep_learning_epfl | 238ed860716f013a30e29ebd4b0d9c4d0c67d011 | [
"MIT"
] | 2 | 2018-05-30T09:27:13.000Z | 2018-07-05T12:38:37.000Z | """
File defining the classes Normalize and Standardize used respectively to normalize and standardize the data set.
"""
| 27.517241 | 112 | 0.592105 |
33d1491d6a521c55fdf5d9796d0dc3453bde5f3c | 5,522 | py | Python | coalaip/plugin.py | bigchaindb/pycoalaip | cecc8f6ff4733f0525fafcee63647753e832f0be | [
"Apache-2.0"
] | 20 | 2016-08-13T15:01:20.000Z | 2018-10-09T21:18:11.000Z | coalaip/plugin.py | imbi7py/pycoalaip | cecc8f6ff4733f0525fafcee63647753e832f0be | [
"Apache-2.0"
] | 57 | 2016-08-04T16:02:05.000Z | 2017-09-15T08:20:06.000Z | coalaip/plugin.py | imbi7py/pycoalaip | cecc8f6ff4733f0525fafcee63647753e832f0be | [
"Apache-2.0"
] | 8 | 2018-11-15T16:34:59.000Z | 2021-07-09T00:20:37.000Z | from abc import ABC, abstractmethod, abstractproperty
| 34.72956 | 91 | 0.588555 |
33d1c4bc6b32f3dc2fadccad361068b5292dca5c | 6,016 | py | Python | benchmarks/chexpert/chexpert.py | paaatcha/my-thesis | e72644e0d7c8a4b6f75cf7e462d32001cbf2c75d | [
"MIT"
] | 5 | 2020-11-12T20:11:09.000Z | 2021-03-01T12:44:05.000Z | benchmarks/chexpert/chexpert.py | paaatcha/my-thesis | e72644e0d7c8a4b6f75cf7e462d32001cbf2c75d | [
"MIT"
] | null | null | null | benchmarks/chexpert/chexpert.py | paaatcha/my-thesis | e72644e0d7c8a4b6f75cf7e462d32001cbf2c75d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Autor: Andr Pacheco
Email: pacheco.comp@gmail.com
"""
import sys
sys.path.insert(0,'../../') # including the path to deep-tasks folder
sys.path.insert(0,'../../my_models') # including the path to my_models folder
from constants import RAUG_PATH
sys.path.insert(0,RAUG_PATH)
from raug.loader... | 43.280576 | 123 | 0.626995 |
33d3616fffd736ee6840aea7591ae150b299a6b4 | 1,673 | py | Python | python-benchmarking-tools/haste/benchmarking/messaging.py | HASTE-project/benchmarking-tools | 3e65cd4019287051a612bc21fa68e4b1a5bbc745 | [
"BSD-3-Clause"
] | null | null | null | python-benchmarking-tools/haste/benchmarking/messaging.py | HASTE-project/benchmarking-tools | 3e65cd4019287051a612bc21fa68e4b1a5bbc745 | [
"BSD-3-Clause"
] | null | null | null | python-benchmarking-tools/haste/benchmarking/messaging.py | HASTE-project/benchmarking-tools | 3e65cd4019287051a612bc21fa68e4b1a5bbc745 | [
"BSD-3-Clause"
] | null | null | null | import random
import string
from itertools import repeat
import time
RANDOM_1KB = ''.join(random.choice(string.ascii_uppercase + string.ascii_lowercase + string.digits)
for _ in range(1000))
RANDOM_100MB = bytearray(''.join(list(repeat(RANDOM_1KB, 100 * 1024))), 'utf-8')
NEWLINE = bytes("\n", 'UT... | 29.875 | 99 | 0.683802 |
33d4ad03546e671d2c748b882701c31df889c607 | 5,338 | py | Python | async_mgun/mgun.py | maximdanilchenko/async-mgun | 66a2f1123407f91682fc8e6491ddadfb3690e238 | [
"MIT"
] | null | null | null | async_mgun/mgun.py | maximdanilchenko/async-mgun | 66a2f1123407f91682fc8e6491ddadfb3690e238 | [
"MIT"
] | null | null | null | async_mgun/mgun.py | maximdanilchenko/async-mgun | 66a2f1123407f91682fc8e6491ddadfb3690e238 | [
"MIT"
] | null | null | null | import json
from collections import namedtuple
import aiohttp
METHOD_GET = aiohttp.hdrs.METH_GET
METHOD_DELETE = aiohttp.hdrs.METH_DELETE
METHOD_POST = aiohttp.hdrs.METH_POST
METHOD_PUT = aiohttp.hdrs.METH_PUT
METHOD_PATCH = aiohttp.hdrs.METH_PATCH
CONTENT_TYPE = aiohttp.hdrs.CONTENT_TYPE
JSON_TYPE = 'application/jso... | 32.156627 | 91 | 0.597602 |
33d662830f0507f69d63779e877716fe18bc04aa | 7,071 | py | Python | 10/10.py | andleb/aoc18 | 408bf9a92f30fee692d7a2cd9b2a72ab1bbd7711 | [
"MIT"
] | 1 | 2020-03-22T16:25:01.000Z | 2020-03-22T16:25:01.000Z | 10/10.py | andleb/aoc18 | 408bf9a92f30fee692d7a2cd9b2a72ab1bbd7711 | [
"MIT"
] | null | null | null | 10/10.py | andleb/aoc18 | 408bf9a92f30fee692d7a2cd9b2a72ab1bbd7711 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Dec 9 23:12:30 2018
@author: Andrej Leban
"""
import itertools as it
import functools as ft
import collections as coll
import sortedcontainers as sc
from blist import blist
import re
import numpy as np
import scipy.signal
import scipy.sparse
import mat... | 28.861224 | 75 | 0.433602 |
33d6fb43a44d5548c53fbae7aa5f5112f385cc23 | 808 | py | Python | __init__.py | rookiepeng/radarsimpy | e26cc8eb1b913630dfdc9d3443279b4ae54c0109 | [
"MIT"
] | 42 | 2020-09-30T06:26:02.000Z | 2022-03-31T18:38:52.000Z | __init__.py | chisyliu/radarsimpy | e26cc8eb1b913630dfdc9d3443279b4ae54c0109 | [
"MIT"
] | 6 | 2021-01-11T21:45:20.000Z | 2022-03-18T02:48:50.000Z | __init__.py | chisyliu/radarsimpy | e26cc8eb1b913630dfdc9d3443279b4ae54c0109 | [
"MIT"
] | 12 | 2020-08-06T15:17:13.000Z | 2022-02-11T08:38:34.000Z | # distutils: language = c++
# cython: language_level=3
# ----------
# RadarSimPy - A Radar Simulator Built with Python
# Copyright (C) 2018 - PRESENT Zhengyu Peng
# E-mail: zpeng.me@gmail.com
# Website: https://zpeng.me
# ` `
# -:. -#:
# -//:. -###:
# -////:. ... | 20.717949 | 50 | 0.308168 |
33d742467b639181a96935c9f1ee233a5cfa1143 | 1,542 | py | Python | setup.py | tfahey/python-sample-app | ce333ea3e6e932b4f3eec022a3654b542c310974 | [
"MIT"
] | null | null | null | setup.py | tfahey/python-sample-app | ce333ea3e6e932b4f3eec022a3654b542c310974 | [
"MIT"
] | null | null | null | setup.py | tfahey/python-sample-app | ce333ea3e6e932b4f3eec022a3654b542c310974 | [
"MIT"
] | null | null | null | from setuptools import setup
# Used in pypi.org as the README description of your package
with open("README.md", 'r') as f:
long_description = f.read()
# Remove this whole block from here...
setup(
name='python-sample-app',
version='1.0',
description='python-sample-app is a starter templat... | 33.521739 | 101 | 0.603113 |
33d849633a70f2cbfe362c04ab4b72d0b5817985 | 2,519 | py | Python | create_playlist_by_artistlist.py | sanzgiri/saregma_spotify | ba35cd27b13c63a7cb1b1452f00727be51c775c7 | [
"MIT"
] | 1 | 2019-10-10T07:39:26.000Z | 2019-10-10T07:39:26.000Z | create_playlist_by_artistlist.py | sanzgiri/saregama_spotify | ba35cd27b13c63a7cb1b1452f00727be51c775c7 | [
"MIT"
] | null | null | null | create_playlist_by_artistlist.py | sanzgiri/saregama_spotify | ba35cd27b13c63a7cb1b1452f00727be51c775c7 | [
"MIT"
] | null | null | null | import sys
import re
import spotipy
import spotipy.util as util
''' shows the albums and tracks for a given artist.
'''
if __name__ == '__main__':
if len(sys.argv) < 4:
print(('Usage: {0} username playlist filename'.format(sys.argv[0])))
else:
username = sys.argv[1]
plname = sys.argv[... | 33.586667 | 89 | 0.493053 |
33d9116df66190b4bcd4b6335837886228590452 | 466 | py | Python | Lib/site-packages/py2exe/samples/pywin32/com_typelib/pre_gen/wscript/show_info.py | Aakash10399/simple-health-glucheck | 1f7c4ff7778a44f09b1c8cb0089fef51dc26cea2 | [
"bzip2-1.0.6"
] | 35 | 2015-08-15T14:32:38.000Z | 2021-12-09T16:21:26.000Z | Lib/site-packages/py2exe/samples/pywin32/com_typelib/pre_gen/wscript/show_info.py | Aakash10399/simple-health-glucheck | 1f7c4ff7778a44f09b1c8cb0089fef51dc26cea2 | [
"bzip2-1.0.6"
] | 4 | 2015-09-12T10:42:57.000Z | 2017-02-27T04:05:51.000Z | Lib/site-packages/py2exe/samples/pywin32/com_typelib/pre_gen/wscript/show_info.py | Aakash10399/simple-health-glucheck | 1f7c4ff7778a44f09b1c8cb0089fef51dc26cea2 | [
"bzip2-1.0.6"
] | 15 | 2015-07-10T23:58:07.000Z | 2022-01-23T22:16:33.000Z | # Print some simple information using the WScript.Network object.
import sys
from win32com.client.gencache import EnsureDispatch
ob = EnsureDispatch('WScript.Network')
# For the sake of ensuring the correct module is used...
mod = sys.modules[ob.__module__]
print "The module hosting the object is", mod
# Now use the... | 25.888889 | 65 | 0.761803 |
33d9997f9a803874867baad8259292103a1f9c38 | 974 | py | Python | BOMFinder/helpers.py | ProrokWielki/BOM_Finder | 329fbcc79014f653ea438005495c851ea5a98a4e | [
"MIT"
] | null | null | null | BOMFinder/helpers.py | ProrokWielki/BOM_Finder | 329fbcc79014f653ea438005495c851ea5a98a4e | [
"MIT"
] | null | null | null | BOMFinder/helpers.py | ProrokWielki/BOM_Finder | 329fbcc79014f653ea438005495c851ea5a98a4e | [
"MIT"
] | null | null | null | import BOMFinder.UI.UI as UI
| 30.4375 | 90 | 0.584189 |
33da0396a0dd60ccaa2bda8746e876166518de49 | 934 | py | Python | src/dash/pages/page1/layout/piecases.py | NjekTt/iris-python-dashboards | fde650bb1e0a58504230aaba6b4d8312c9f965a6 | [
"MIT"
] | null | null | null | src/dash/pages/page1/layout/piecases.py | NjekTt/iris-python-dashboards | fde650bb1e0a58504230aaba6b4d8312c9f965a6 | [
"MIT"
] | null | null | null | src/dash/pages/page1/layout/piecases.py | NjekTt/iris-python-dashboards | fde650bb1e0a58504230aaba6b4d8312c9f965a6 | [
"MIT"
] | null | null | null | import dash_bootstrap_components as dbc
from dash import dcc
import plotly.graph_objects as go
import iris
query = ("""SELECT
location,
CAST(total_cases AS int) as total_cases,
CAST(total_deaths as int) as total_deaths,
CAST(total_vaccinations AS int) as total_vaccinations
FROM Data.Covid19 WHERE ... | 28.30303 | 105 | 0.680942 |
33da4874a5acfe6e3de2316a08fa8e0d7edcedd6 | 13,573 | py | Python | edb/server/main.py | rongfengliang/edgedb-pg-expose | 1ddc279511595b4b1a3a1532ea873ed4e05e8b01 | [
"Apache-2.0"
] | null | null | null | edb/server/main.py | rongfengliang/edgedb-pg-expose | 1ddc279511595b4b1a3a1532ea873ed4e05e8b01 | [
"Apache-2.0"
] | null | null | null | edb/server/main.py | rongfengliang/edgedb-pg-expose | 1ddc279511595b4b1a3a1532ea873ed4e05e8b01 | [
"Apache-2.0"
] | null | null | null | #
# This source file is part of the EdgeDB open source project.
#
# Copyright 2016-present MagicStack Inc. and the EdgeDB 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... | 31.861502 | 79 | 0.614308 |
33dab9188feb6ecca15b0298623ede4011983a44 | 2,295 | py | Python | processing.py | BeDaBio/Topspin_Automatisation | d6c944c8533452540bad6c7900671ba84510da5d | [
"MIT"
] | 1 | 2021-07-01T12:40:46.000Z | 2021-07-01T12:40:46.000Z | processing.py | BeDaBio/Topspin_Automatisation | d6c944c8533452540bad6c7900671ba84510da5d | [
"MIT"
] | null | null | null | processing.py | BeDaBio/Topspin_Automatisation | d6c944c8533452540bad6c7900671ba84510da5d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from TopCmds import *
import quality_check
import data_management as dat
Qualitytest = quality_check.Qualitytest
left_boundary=float(dat.get_globalParameter("left_boundary"))
right_boundary=float(dat.get_globalParameter("right_boundary"))
def Check_180turn(leftboundary,rightboundary):... | 38.898305 | 101 | 0.735076 |
33df118b9dd2d5dc3e199ff68c543e1b12e24f1b | 389 | py | Python | accounts/migrations/0007_rename_protected_authtoggle_is_protected.py | abubakarA-Dot/tarot_juicer | dbc68f73d6ae3d73f50f4472a063b5363febc7b8 | [
"MIT"
] | 4 | 2020-02-27T00:11:01.000Z | 2020-05-11T07:59:55.000Z | accounts/migrations/0007_rename_protected_authtoggle_is_protected.py | abubakarA-Dot/tarot_juicer | dbc68f73d6ae3d73f50f4472a063b5363febc7b8 | [
"MIT"
] | 16 | 2019-12-20T06:57:54.000Z | 2020-05-19T01:00:18.000Z | accounts/migrations/0007_rename_protected_authtoggle_is_protected.py | abubakarA-Dot/tarot_juicer | dbc68f73d6ae3d73f50f4472a063b5363febc7b8 | [
"MIT"
] | 10 | 2019-12-25T23:38:33.000Z | 2020-05-11T14:15:15.000Z | # Generated by Django 3.2.4 on 2021-11-02 08:05
from django.db import migrations
| 20.473684 | 60 | 0.611825 |
33df6bcd5e294420051bcaaf7ff2ab223d4ccacb | 6,509 | py | Python | fund.py | JS-WangZhu/Fund | 9ec7c06998f23e827d72f5a40f357ce8950b61f5 | [
"Apache-2.0"
] | 9 | 2020-08-11T11:07:06.000Z | 2021-08-06T08:28:50.000Z | fund.py | JS-WangZhu/Fund | 9ec7c06998f23e827d72f5a40f357ce8950b61f5 | [
"Apache-2.0"
] | null | null | null | fund.py | JS-WangZhu/Fund | 9ec7c06998f23e827d72f5a40f357ce8950b61f5 | [
"Apache-2.0"
] | 2 | 2020-08-18T06:56:25.000Z | 2021-01-12T12:07:36.000Z | import os
import pickle
import requests
from bs4 import BeautifulSoup
import re
import prettytable as pt
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import warnings
from colorama import init, Fore, Back, Style
warnings.filterwarnings("ignore")
import time
chrome_options=Options(... | 34.62234 | 147 | 0.634199 |
33e151bf11eaa61f605f33dd483e62cdd9902fec | 6,161 | py | Python | src/streamexecutors/stream.py | pkch/executors | 326677ab98de374314bfa76e75624a705c34bdda | [
"MIT"
] | 1 | 2017-07-17T14:11:18.000Z | 2017-07-17T14:11:18.000Z | src/streamexecutors/stream.py | pkch/executors | 326677ab98de374314bfa76e75624a705c34bdda | [
"MIT"
] | 3 | 2017-05-29T10:24:36.000Z | 2017-05-30T09:20:11.000Z | src/streamexecutors/stream.py | pkch/executors | 326677ab98de374314bfa76e75624a705c34bdda | [
"MIT"
] | 1 | 2020-11-21T18:53:52.000Z | 2020-11-21T18:53:52.000Z | import time
from queue import Queue, Full, Empty
from concurrent.futures import Executor, ThreadPoolExecutor, ProcessPoolExecutor
from concurrent.futures.process import _get_chunks, _process_chunk
from functools import partial
import sys
import contextlib
import threading
import itertools
| 41.073333 | 96 | 0.557377 |
33e2f0f698434b23dcdf1b8b069d6bb70c09f05a | 29,581 | py | Python | src/custom_layers.py | fkong7/HeartFFDNet | 8257ce71a0a3449d1b3a7c040699af3da35bd4b5 | [
"Apache-2.0"
] | 12 | 2021-07-13T17:40:17.000Z | 2022-03-05T12:13:30.000Z | src/custom_layers.py | fkong7/HeartFFDNet | 8257ce71a0a3449d1b3a7c040699af3da35bd4b5 | [
"Apache-2.0"
] | 2 | 2022-03-03T15:17:58.000Z | 2022-03-22T09:22:46.000Z | src/custom_layers.py | fkong7/HeartFFDNet | 8257ce71a0a3449d1b3a7c040699af3da35bd4b5 | [
"Apache-2.0"
] | 2 | 2021-09-28T14:56:04.000Z | 2021-11-18T09:52:44.000Z | #Copyright (C) 2021 Fanwei Kong, Shawn C. Shadden, University of California, Berkeley
#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 req... | 45.579353 | 137 | 0.61837 |
33e320a31c348ff9ae4c6582aaca0b0e10833e86 | 2,455 | py | Python | data_spec_validator/spec/actions.py | travisliu/data-spec-validator | 7ee0944ca9899d565ad04ed82ca26bb402970958 | [
"MIT"
] | 23 | 2021-08-11T08:53:15.000Z | 2022-02-14T04:44:13.000Z | data_spec_validator/spec/actions.py | travisliu/data-spec-validator | 7ee0944ca9899d565ad04ed82ca26bb402970958 | [
"MIT"
] | 2 | 2021-09-11T08:59:12.000Z | 2022-03-29T00:40:42.000Z | data_spec_validator/spec/actions.py | travisliu/data-spec-validator | 7ee0944ca9899d565ad04ed82ca26bb402970958 | [
"MIT"
] | 1 | 2022-01-04T07:45:22.000Z | 2022-01-04T07:45:22.000Z | from .defines import MsgLv, UnknownFieldValue, ValidateResult, get_msg_level
from .validators import SpecValidator
| 34.097222 | 93 | 0.657434 |
33e48de23ace5856239e5367cf22a81d72e55b3b | 290 | py | Python | hwtypes/compatibility.py | splhack/hwtypes | aee03c086226fa3ed5892c998603cb8477e15f5e | [
"BSD-3-Clause"
] | 167 | 2017-10-08T00:59:22.000Z | 2022-02-08T00:14:39.000Z | hwtypes/compatibility.py | splhack/hwtypes | aee03c086226fa3ed5892c998603cb8477e15f5e | [
"BSD-3-Clause"
] | 719 | 2017-08-29T17:58:28.000Z | 2022-03-31T23:39:18.000Z | hwtypes/compatibility.py | splhack/hwtypes | aee03c086226fa3ed5892c998603cb8477e15f5e | [
"BSD-3-Clause"
] | 14 | 2017-09-01T03:25:16.000Z | 2021-11-05T13:30:24.000Z | import sys
__all__ = ['IntegerTypes', 'StringTypes']
if sys.version_info < (3,):
IntegerTypes = (int, long)
StringTypes = (str, unicode)
long = long
import __builtin__ as builtins
else:
IntegerTypes = (int,)
StringTypes = (str,)
long = int
import builtins
| 19.333333 | 41 | 0.641379 |
33e56033d7e024573e61a6a3dc78c7548534c357 | 285 | py | Python | py_tdlib/constructors/secret_chat.py | Mr-TelegramBot/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 24 | 2018-10-05T13:04:30.000Z | 2020-05-12T08:45:34.000Z | py_tdlib/constructors/secret_chat.py | MrMahdi313/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 3 | 2019-06-26T07:20:20.000Z | 2021-05-24T13:06:56.000Z | py_tdlib/constructors/secret_chat.py | MrMahdi313/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 5 | 2018-10-05T14:29:28.000Z | 2020-08-11T15:04:10.000Z | from ..factory import Type
| 23.75 | 40 | 0.635088 |