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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
797392a6a36a69117a1e8e2f9c9e14b215822acb | 38,744 | py | Python | python/mxnet/gluon/nn/basic_layers.py | zw-shen/incubator-mxnet | ce1330690124630a8b095336ce3b1fb675d9547a | [
"Apache-2.0"
] | null | null | null | python/mxnet/gluon/nn/basic_layers.py | zw-shen/incubator-mxnet | ce1330690124630a8b095336ce3b1fb675d9547a | [
"Apache-2.0"
] | null | null | null | python/mxnet/gluon/nn/basic_layers.py | zw-shen/incubator-mxnet | ce1330690124630a8b095336ce3b1fb675d9547a | [
"Apache-2.0"
] | null | null | null | # 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
# "License"); you may not u... | 41.260916 | 109 | 0.59857 |
797392b420070b13db589c6256f26e7ec49aede8 | 1,348 | py | Python | data/external/repositories_2to3/166417/Restaurant-Revenue-Prediction-master/Ari/needs_work/GridSearch.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/166417/Restaurant-Revenue-Prediction-master/Ari/needs_work/GridSearch.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/166417/Restaurant-Revenue-Prediction-master/Ari/needs_work/GridSearch.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | 1 | 2019-12-04T08:23:33.000Z | 2019-12-04T08:23:33.000Z |
# Grid Search for Algorithm Tuning
import numpy as np
import pandas as pd
from sklearn import datasets
from sklearn.linear_model import Ridge
from sklearn.grid_search import GridSearchCV
### Plotting function ###
from matplotlib import pyplot as plt
from sklearn.metrics import r2_score
def plot_r2(y... | 25.433962 | 87 | 0.654303 |
797392ff6b7a417467ef7612fb8ff77cf8fd7798 | 4,885 | py | Python | serpent/machine_learning/reinforcement_learning/ddqn.py | m1ndgames/SerpentAI | e32efa9acc8bf0dbe3b54f1524b8fc59f3ec66bd | [
"MIT"
] | 1 | 2020-07-11T18:28:26.000Z | 2020-07-11T18:28:26.000Z | serpent/machine_learning/reinforcement_learning/ddqn.py | meongithub/SerpentAI | 3bdb7926a0ce9d081e52a821d44ed0e86d70b6b8 | [
"MIT"
] | 2 | 2021-08-25T15:08:20.000Z | 2022-02-09T23:51:01.000Z | serpent/machine_learning/reinforcement_learning/ddqn.py | PiterPentester/SerpentAI | 614bafd3c2df3ee6736309d46a7b92325f9a2d15 | [
"MIT"
] | 1 | 2021-09-05T21:15:22.000Z | 2021-09-05T21:15:22.000Z | from serpent.machine_learning.reinforcement_learning.dqn import DQN
import numpy as np
from keras.optimizers import Adam
import random
class DDQN(DQN):
def __init__(
self,
input_shape=None,
input_mapping=None,
replay_memory_size=10000,
batch_size=32,
action_spac... | 33.689655 | 108 | 0.628454 |
79739429786b8da938239a15ec3ac84a3c8bcc41 | 9,437 | py | Python | xiami.py | CetaceanNation/xiamidl | 3bfe99e72737b4802febb452911351421a08f090 | [
"MIT"
] | null | null | null | xiami.py | CetaceanNation/xiamidl | 3bfe99e72737b4802febb452911351421a08f090 | [
"MIT"
] | null | null | null | xiami.py | CetaceanNation/xiamidl | 3bfe99e72737b4802febb452911351421a08f090 | [
"MIT"
] | 1 | 2021-01-16T04:11:55.000Z | 2021-01-16T04:11:55.000Z | import re
import time
import json
import requests
from datetime import datetime
from hashlib import md5
from misc import *
from downloader import Downloader
ALBUM_PAGE_RESULTS = 30
SEARCH_RESULTS = 8
RELEASE_TYPE = {
'EP、单曲': 'ep,single',
'精选集': 'compilation',
'录音室专辑': 'album',
'原声带、影视音乐': 'soundtrack'... | 49.668421 | 156 | 0.604323 |
797394ae20f9453ada3f840f929e2cfac2033035 | 6,050 | py | Python | src/python/grpcio_tests/tests/testing/_time_test.py | txl0591/grpc | 8b732dc466fb8a567c1bca9dbb84554d29087395 | [
"Apache-2.0"
] | 117 | 2017-10-02T21:34:35.000Z | 2022-03-02T01:49:03.000Z | src/python/grpcio_tests/tests/testing/_time_test.py | txl0591/grpc | 8b732dc466fb8a567c1bca9dbb84554d29087395 | [
"Apache-2.0"
] | 4 | 2017-10-03T22:45:30.000Z | 2018-09-27T07:31:00.000Z | src/python/grpcio_tests/tests/testing/_time_test.py | txl0591/grpc | 8b732dc466fb8a567c1bca9dbb84554d29087395 | [
"Apache-2.0"
] | 24 | 2017-10-31T12:14:15.000Z | 2021-12-11T10:07:46.000Z | # Copyright 2017 gRPC 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 writing... | 36.445783 | 78 | 0.695041 |
797394bf634349fa30a8cbafb0215cfdf1cd00ec | 847 | py | Python | src/main.py | MarinkoBa/Hate-Speech-Classification | 72f6bbe93b823daefa138df4f81a3a4df5b34c4c | [
"MIT"
] | null | null | null | src/main.py | MarinkoBa/Hate-Speech-Classification | 72f6bbe93b823daefa138df4f81a3a4df5b34c4c | [
"MIT"
] | null | null | null | src/main.py | MarinkoBa/Hate-Speech-Classification | 72f6bbe93b823daefa138df4f81a3a4df5b34c4c | [
"MIT"
] | 1 | 2020-12-14T13:56:50.000Z | 2020-12-14T13:56:50.000Z | import os
from src.utils import pipeline
if __name__ == "__main__":
# loads and concatenates the different datasets
df_dataset = pipeline.load_labeled_dataset()
# evaluate classifier and parameters during experiment-phase
param, x_data, y_data = pipeline.run_experiment(df_dataset, preprocessing='prepr... | 49.823529 | 115 | 0.701299 |
7973952da4d316b6438bd88e75589d76d4dce9d7 | 717 | py | Python | Exercicios/Exercicio083.py | RicardoMart922/estudo_Python | cb595c2a5e5aee568b6afa71b3ed9dd9cb7eef72 | [
"MIT"
] | null | null | null | Exercicios/Exercicio083.py | RicardoMart922/estudo_Python | cb595c2a5e5aee568b6afa71b3ed9dd9cb7eef72 | [
"MIT"
] | null | null | null | Exercicios/Exercicio083.py | RicardoMart922/estudo_Python | cb595c2a5e5aee568b6afa71b3ed9dd9cb7eef72 | [
"MIT"
] | null | null | null | # Crie um programa que vai ler vários números e colocar em uma lista. Depois disso,
# crie duas listas extras que vão conter apenas os valores pares e os valores ímpares
# digitados, respectivamente. Ao final, mostre o conteúdo das três listas geradas.
lista = list()
listaPar = list()
listaImpar = list()
while True:
... | 34.142857 | 85 | 0.680614 |
7973956848a51d5f1662d7f4e3db52f70bb43743 | 11,253 | py | Python | homeassistant/components/flux_led/light.py | m2hofi94/home-assistant | 288ae8b1e7cdbbdcb6d055eaea09445cc3dc4064 | [
"Apache-2.0"
] | 3 | 2020-05-18T10:18:16.000Z | 2020-12-08T11:27:55.000Z | homeassistant/components/flux_led/light.py | m2hofi94/home-assistant | 288ae8b1e7cdbbdcb6d055eaea09445cc3dc4064 | [
"Apache-2.0"
] | 3 | 2021-02-08T20:54:46.000Z | 2021-09-08T02:30:04.000Z | homeassistant/components/flux_led/light.py | m2hofi94/home-assistant | 288ae8b1e7cdbbdcb6d055eaea09445cc3dc4064 | [
"Apache-2.0"
] | 6 | 2020-04-10T06:21:11.000Z | 2021-07-01T08:53:38.000Z | """Support for Flux lights."""
import logging
import socket
import random
from flux_led import BulbScanner, WifiLedBulb
import voluptuous as vol
from homeassistant.const import CONF_DEVICES, CONF_NAME, CONF_PROTOCOL, ATTR_MODE
from homeassistant.components.light import (
ATTR_BRIGHTNESS,
ATTR_HS_COLOR,
AT... | 29.928191 | 87 | 0.634942 |
797395732976136f031c89c57bb41ebc046f5ab0 | 6,680 | py | Python | pygitscrum/git_wip.py | thib1984/pygitscrum | 4f5f726e5b3c95f93da33c21da51953657bd0349 | [
"MIT"
] | 2 | 2021-04-23T11:10:32.000Z | 2021-04-23T11:10:41.000Z | pygitscrum/git_wip.py | thib1984/pygitscrum | 4f5f726e5b3c95f93da33c21da51953657bd0349 | [
"MIT"
] | 2 | 2021-11-23T09:26:50.000Z | 2021-11-23T09:27:02.000Z | pygitscrum/git_wip.py | thib1984/pygitscrum | 4f5f726e5b3c95f93da33c21da51953657bd0349 | [
"MIT"
] | null | null | null | """
--wip scripts
"""
from pygitscrum.git import git_output
from pygitscrum.scan import (
absolute_path_without_git,
print_repo_if_first,
update_dict,
)
from pygitscrum.args import compute_args
from pygitscrum.print import (
print_resume_map,
print_debug,
print_y,
print_g,
)
def git_wip(fi... | 34.791667 | 83 | 0.49491 |
79739624cf57d1861eec351ea967fd7fdc5b141b | 220 | py | Python | profiles/urls.py | S0Imyr/projet13 | 5d5a914261d8cc787f4a25f6245b3af380a5573a | [
"MIT"
] | 1 | 2021-09-03T10:36:58.000Z | 2021-09-03T10:36:58.000Z | profiles/urls.py | S0Imyr/projet13 | 5d5a914261d8cc787f4a25f6245b3af380a5573a | [
"MIT"
] | null | null | null | profiles/urls.py | S0Imyr/projet13 | 5d5a914261d8cc787f4a25f6245b3af380a5573a | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
app_name = 'profiles'
urlpatterns = [
path('profiles/', views.profiles_index, name='index'),
path('profiles/<str:username>/', views.profile, name='profile'),
]
| 20 | 68 | 0.690909 |
797396741ee859695ebbffbec5bbf9a3c418d7fd | 1,879 | py | Python | hazel/config.py | shunfan/hazel | 19744799482aa435569bb9c139e0778d04f7a3f1 | [
"MIT"
] | null | null | null | hazel/config.py | shunfan/hazel | 19744799482aa435569bb9c139e0778d04f7a3f1 | [
"MIT"
] | null | null | null | hazel/config.py | shunfan/hazel | 19744799482aa435569bb9c139e0778d04f7a3f1 | [
"MIT"
] | null | null | null | # coding=utf-8
import os
import yaml
import shutil
import urllib2
from clint.textui import puts, indent, colored
from hazel.load import load_base
from hazel.utils import get_path, safe_mkdir, safe_copy, force_mkdir, g
g.hazel_path = os.path.abspath(os.path.dirname(__file__))
def default_mkdir():
load_base()
... | 31.316667 | 131 | 0.685471 |
797398c1d5ff77f2278831693060852feec5c48f | 137 | py | Python | setup.py | bio2bel/excape | dd3cfa446dd47135e754da41d52caf700fddbe0e | [
"MIT"
] | null | null | null | setup.py | bio2bel/excape | dd3cfa446dd47135e754da41d52caf700fddbe0e | [
"MIT"
] | 12 | 2018-09-02T16:38:56.000Z | 2019-03-06T12:46:00.000Z | setup.py | bio2bel/excape | dd3cfa446dd47135e754da41d52caf700fddbe0e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Setup module for Bio2BEL ExCAPE-DB."""
import setuptools
if __name__ == '__main__':
setuptools.setup()
| 15.222222 | 41 | 0.642336 |
79739976d3d29b4053a2d61968773025642ad967 | 55,882 | py | Python | Lib/dataclasses.py | pxeger/cpython | 959580bd9ff8824590e8b24895bc2276f3f10b35 | [
"0BSD"
] | 5,926 | 2015-01-01T07:45:08.000Z | 2022-03-31T12:34:38.000Z | Lib/dataclasses.py | pxeger/cpython | 959580bd9ff8824590e8b24895bc2276f3f10b35 | [
"0BSD"
] | 1,728 | 2015-01-01T01:09:12.000Z | 2022-03-30T23:25:22.000Z | Lib/dataclasses.py | pxeger/cpython | 959580bd9ff8824590e8b24895bc2276f3f10b35 | [
"0BSD"
] | 574 | 2015-01-02T01:36:10.000Z | 2022-03-26T10:18:48.000Z | import re
import sys
import copy
import types
import inspect
import keyword
import builtins
import functools
import abc
import _thread
from types import FunctionType, GenericAlias
__all__ = ['dataclass',
'field',
'Field',
'FrozenInstanceError',
'InitVar',
'KW_ONL... | 38.592541 | 94 | 0.591228 |
797399fb13d7a41806b18629b9656add3fb332aa | 830 | py | Python | scripts/zinzya.py | haruyama8940/mypkg | 37070b6bb34defc145fecddf6f75d85f55fe3174 | [
"BSD-3-Clause"
] | null | null | null | scripts/zinzya.py | haruyama8940/mypkg | 37070b6bb34defc145fecddf6f75d85f55fe3174 | [
"BSD-3-Clause"
] | null | null | null | scripts/zinzya.py | haruyama8940/mypkg | 37070b6bb34defc145fecddf6f75d85f55fe3174 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import rospy
import random
from std_msgs.msg import Int32
from std_msgs.msg import String
n=0
k=''
def luck(x):
global k
if x==1:
k='DAIKICHI'
if x==2:
k='TYUKICHI'
if x==3:
k='SYOUKITCHI'
if x==4:
k='KYO'
if x==5:
k='DAIKYOU'
def c... | 19.761905 | 54 | 0.539759 |
79739a1ba6182b62deaa9effdd546601aea59c00 | 4,791 | py | Python | src/test-dynelf.py | r3p3r/Gallopsled-pwntools-regression | 0615065300f036a73a1574fa4fb3eea9c5b8a49c | [
"MIT"
] | 7 | 2015-01-08T19:44:39.000Z | 2021-11-17T17:54:46.000Z | src/test-dynelf.py | r3p3r/Gallopsled-pwntools-regression | 0615065300f036a73a1574fa4fb3eea9c5b8a49c | [
"MIT"
] | 2 | 2015-03-16T18:54:06.000Z | 2015-03-17T20:09:22.000Z | src/test-dynelf.py | r3p3r/Gallopsled-pwntools-regression | 0615065300f036a73a1574fa4fb3eea9c5b8a49c | [
"MIT"
] | 14 | 2015-01-08T19:44:39.000Z | 2021-11-17T17:54:50.000Z | from pwn import *
import traceback, unittest, time
class demo:
def ptrsize(self):
log.debug('ptrsize()')
self.send(p8(0))
return u32(self.recvn(4))
def write(self, where, bytes):
log.debug('write(%#x,%r)' % (where,bytes))
self.send(p8(1))
self.send(pack(where))... | 27.534483 | 70 | 0.563139 |
79739a95e7de8d0230977c5bc8d42fc4928eb2a5 | 18,363 | py | Python | data/dataloader.py | clovaai/c3_sinet | 636245fd90cd88e5f851b340befee8d48865e965 | [
"MIT"
] | 43 | 2019-12-30T06:20:51.000Z | 2022-01-07T03:30:29.000Z | data/dataloader.py | hwany-j/c3_sinet | b92911b4bcd8edf003da1537b2ab8e0b3169af56 | [
"MIT"
] | 2 | 2020-06-09T19:25:44.000Z | 2021-01-17T12:04:41.000Z | data/dataloader.py | hwany-j/c3_sinet | b92911b4bcd8edf003da1537b2ab8e0b3169af56 | [
"MIT"
] | 16 | 2019-12-30T06:21:04.000Z | 2021-11-24T03:56:30.000Z | import os
import data.CVTransforms as cvTransforms
import data.PILTransform as pilTransforms
from torch.utils import data
from torchvision import datasets
import torchvision.transforms as transforms
import data.DataSet as myDataLoader
import torch
import data.loadData as ld
import pickle
def cityPIL_Doublerandscalecro... | 39.575431 | 121 | 0.656047 |
79739b093135360b774e562a2c95d5ad72534d2f | 667 | py | Python | env/Lib/site-packages/plotly/validators/layout/mapbox/domain/_y.py | andresgreen-byte/Laboratorio-1--Inversion-de-Capital | 8a4707301d19c3826c31026c4077930bcd6a8182 | [
"MIT"
] | 11,750 | 2015-10-12T07:03:39.000Z | 2022-03-31T20:43:15.000Z | packages/python/plotly/plotly/validators/layout/mapbox/domain/_y.py | jiangrongbo/plotly.py | df19fc702b309586cc24e25373b87e8bdbb3ff60 | [
"MIT"
] | 2,951 | 2015-10-12T00:41:25.000Z | 2022-03-31T22:19:26.000Z | packages/python/plotly/plotly/validators/layout/mapbox/domain/_y.py | jiangrongbo/plotly.py | df19fc702b309586cc24e25373b87e8bdbb3ff60 | [
"MIT"
] | 2,623 | 2015-10-15T14:40:27.000Z | 2022-03-28T16:05:50.000Z | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="y", parent_name="layout.mapbox.domain", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | 35.105263 | 86 | 0.521739 |
79739b09cdb99b623ac0cd385ec1e27655dbf1f2 | 8,103 | py | Python | plugins/extract/align/fan.py | aaman123/faceswap | a5825c3457b062c1824ef3f8b02e4f3fa4c2217f | [
"MIT"
] | 2 | 2021-11-11T08:29:01.000Z | 2021-11-11T08:34:50.000Z | plugins/extract/align/fan.py | aaman123/faceswap | a5825c3457b062c1824ef3f8b02e4f3fa4c2217f | [
"MIT"
] | null | null | null | plugins/extract/align/fan.py | aaman123/faceswap | a5825c3457b062c1824ef3f8b02e4f3fa4c2217f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
""" Facial landmarks extractor for faceswap.py
Code adapted and modified from:
https://github.com/1adrianb/face-alignment
"""
import cv2
import numpy as np
from lib.model.session import KSession
from ._base import Aligner, logger
class Align(Aligner):
""" Perform transformation to ... | 51.28481 | 99 | 0.632729 |
79739c2e889adb5d4774ceb679abd7385d18575c | 2,263 | py | Python | SimpleCV/examples/detection/FeatureDetection.py | M93Pragya/SimpleCV | 6c4d61b6d1d9d856b471910107cad0838954d2b2 | [
"BSD-3-Clause"
] | 1,686 | 2015-01-02T08:47:08.000Z | 2022-03-26T11:55:35.000Z | SimpleCV/examples/detection/FeatureDetection.py | Tester2009/SimpleCV | 7372a0c58eead9c3228315d65ae1903e4b8eb3f1 | [
"BSD-3-Clause"
] | 64 | 2015-01-05T11:23:11.000Z | 2021-12-17T18:29:10.000Z | SimpleCV/examples/detection/FeatureDetection.py | Tester2009/SimpleCV | 7372a0c58eead9c3228315d65ae1903e4b8eb3f1 | [
"BSD-3-Clause"
] | 599 | 2015-01-10T17:37:08.000Z | 2022-03-28T05:31:51.000Z | #!/usr/bin/python
'''
This program is used to find keypoint features in an image.
You need to click the upper left hand corner of what you want to train,
then click the right lower corner of what you want to train.
This will give you a template. For instance if you wanted to train
a face to recognize in the image yo... | 30.173333 | 83 | 0.61688 |
79739c6b1266d5dc1e25c7729b548aaa6eb4def1 | 46,838 | py | Python | lib/googlecloudsdk/third_party/apis/dns/v1alpha2/dns_v1alpha2_client.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 2 | 2019-11-10T09:17:07.000Z | 2019-12-18T13:44:08.000Z | lib/googlecloudsdk/third_party/apis/dns/v1alpha2/dns_v1alpha2_client.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/third_party/apis/dns/v1alpha2/dns_v1alpha2_client.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 1 | 2020-07-25T01:40:19.000Z | 2020-07-25T01:40:19.000Z | """Generated client library for dns version v1alpha2."""
# NOTE: This file is autogenerated and should not be edited by hand.
from __future__ import absolute_import
from apitools.base.py import base_api
from googlecloudsdk.third_party.apis.dns.v1alpha2 import dns_v1alpha2_messages as messages
class DnsV1alpha2(base... | 39.293624 | 239 | 0.688565 |
79739d3650db9fca9fdb9031ddc35813c57235b2 | 1,288 | py | Python | heat_pump_adoption_modelling/getters/location_data.py | nestauk/heat_pump_adoption_modelling | ab30b045e09597c22aeb565ca7caa23ba6e48ffb | [
"MIT"
] | 1 | 2021-11-03T18:11:40.000Z | 2021-11-03T18:11:40.000Z | heat_pump_adoption_modelling/getters/location_data.py | nestauk/heat_pump_adoption_modelling | ab30b045e09597c22aeb565ca7caa23ba6e48ffb | [
"MIT"
] | 36 | 2021-08-24T08:06:00.000Z | 2022-02-03T12:19:22.000Z | heat_pump_adoption_modelling/getters/location_data.py | nestauk/heat_pump_adoption_modelling | ab30b045e09597c22aeb565ca7caa23ba6e48ffb | [
"MIT"
] | null | null | null | # File: getters/location_data.py
"""Loading location data, e.g. postcodes with coordinates."""
# ---------------------------------------------------------------------------------
import pandas as pd
from heat_pump_adoption_modelling import get_yaml_config, Path, PROJECT_DIR
# ----------------------------------------... | 27.404255 | 83 | 0.595497 |
79739d89154ac1c48c3f230a68c46235074b2a02 | 41,430 | py | Python | electrum_vestx/commands.py | anonymouszar/electrum-vestx | ca1dd0fc9ca8fc547d9def1934018b1a4acd7ecb | [
"MIT"
] | 1 | 2021-04-30T10:50:54.000Z | 2021-04-30T10:50:54.000Z | electrum_vestx/commands.py | anonymouszar/electrum-vestx | ca1dd0fc9ca8fc547d9def1934018b1a4acd7ecb | [
"MIT"
] | 2 | 2021-06-01T23:47:48.000Z | 2021-11-15T17:48:49.000Z | electrum_vestx/commands.py | anonymouszar/electrum-vestx | ca1dd0fc9ca8fc547d9def1934018b1a4acd7ecb | [
"MIT"
] | 2 | 2019-07-04T02:49:33.000Z | 2021-11-24T09:27:47.000Z | #!/usr/bin/env python
#
# Electrum - lightweight Bitcoin client
# Copyright (C) 2011 thomasv@gitorious
#
# 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 witho... | 41.513026 | 178 | 0.62812 |
79739d8ff654882c9d1233defa1a46e17430eb97 | 1,982 | py | Python | cyberpunk/transformations/slice.py | jonaylor89/cyberpunk | f78de8a7c8edbaded15699eaa5eb6d8d1245e0b1 | [
"MIT"
] | 5 | 2022-02-24T15:22:49.000Z | 2022-03-02T13:16:45.000Z | cyberpunk/transformations/slice.py | jonaylor89/cyberpunk | f78de8a7c8edbaded15699eaa5eb6d8d1245e0b1 | [
"MIT"
] | 22 | 2022-02-18T16:48:34.000Z | 2022-03-30T21:42:46.000Z | cyberpunk/transformations/slice.py | jonaylor89/cyberpunk | f78de8a7c8edbaded15699eaa5eb6d8d1245e0b1 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from typing import Optional
from pydub import AudioSegment
from cyberpunk.exceptions import (
TransformationInputParseException,
TransformationProcessException,
)
from cyberpunk.transformations import TransformationInput
@dataclass
class SliceInput:
start: Optional[int... | 25.088608 | 107 | 0.581736 |
79739ea9c690b22cf989c519cbf6327d7ecaf845 | 19,408 | py | Python | pyroSAR/snap/S1_SLC/S1_HA_proc_FUN.py | jmarkloew/pyroSAR | 446b46795165b3601618192dfc7d258320ffd67b | [
"MIT"
] | null | null | null | pyroSAR/snap/S1_SLC/S1_HA_proc_FUN.py | jmarkloew/pyroSAR | 446b46795165b3601618192dfc7d258320ffd67b | [
"MIT"
] | null | null | null | pyroSAR/snap/S1_SLC/S1_HA_proc_FUN.py | jmarkloew/pyroSAR | 446b46795165b3601618192dfc7d258320ffd67b | [
"MIT"
] | null | null | null | ##necessary libraries
import pyroSAR
from pyroSAR.snap.auxil import parse_recipe, parse_node, gpt, execute
import os
import shutil
import glob
import datetime
def S1_HA_proc(infiles, out_dir=None, tmpdir=None, t_res=20, t_crs=4326, out_format="GeoTIFF", gpt_paras=None,
IWs=["IW1", "IW2", "IW3"], decomp... | 46.541966 | 246 | 0.566777 |
79739f204d724a1826389aa2bcbe4e6f534d2ac5 | 6,843 | py | Python | tests/unit/blocks/test_block_pytest.py | windies21/loopchain | 6e96c8a7e006747af04187155678f2fae59e1389 | [
"Apache-2.0"
] | 105 | 2018-04-03T05:29:08.000Z | 2022-01-28T17:33:20.000Z | testcase/unittest/blocks/test_block_pytest.py | laurenceyoon/loopchain | e87032779be4715c135c2c91d2757d9c63bf4e31 | [
"Apache-2.0"
] | 135 | 2018-09-04T07:11:02.000Z | 2021-12-15T06:25:47.000Z | testcase/unittest/blocks/test_block_pytest.py | laurenceyoon/loopchain | e87032779be4715c135c2c91d2757d9c63bf4e31 | [
"Apache-2.0"
] | 46 | 2018-05-07T09:12:07.000Z | 2022-02-23T09:58:37.000Z | import os
import pytest
from loopchain.blockchain.blocks.v0_1a.block import BlockHeader as BlockHeader_v0_1a
from loopchain.blockchain.blocks.v0_3.block import BlockHeader as BlockHeader_v0_3
from loopchain.blockchain.blocks.v0_4.block import BlockHeader as BlockHeader_v0_4
from loopchain.blockchain.blocks.block impo... | 47.520833 | 100 | 0.62005 |
79739f2196d2f4429d4c678a2b0bfc9ed4ea4024 | 5,073 | py | Python | deep-learning-for-image-processing-master/pytorch_object_detection/train_coco_dataset/backbone/feature_pyramid_network.py | zpwithme/zzzzpppp | 0f5df647f1e9d6cb8c01b3fc7df25ee543714af3 | [
"MIT"
] | null | null | null | deep-learning-for-image-processing-master/pytorch_object_detection/train_coco_dataset/backbone/feature_pyramid_network.py | zpwithme/zzzzpppp | 0f5df647f1e9d6cb8c01b3fc7df25ee543714af3 | [
"MIT"
] | null | null | null | deep-learning-for-image-processing-master/pytorch_object_detection/train_coco_dataset/backbone/feature_pyramid_network.py | zpwithme/zzzzpppp | 0f5df647f1e9d6cb8c01b3fc7df25ee543714af3 | [
"MIT"
] | 2 | 2021-06-26T16:53:38.000Z | 2021-08-29T22:16:20.000Z | from collections import OrderedDict
import torch.nn as nn
import torch
from torch import Tensor
import torch.nn.functional as F
from torch.jit.annotations import Tuple, List, Dict
class FeaturePyramidNetwork(nn.Module):
"""
Module that adds a FPN from on top of a set of feature maps. This is based on
`"... | 37.577778 | 89 | 0.623497 |
79739fcd9a766966502cb8a2d95d7fee21e0d69a | 1,501 | py | Python | src/cowrie/output/rethinkdblog.py | GreyNoise-Intelligence/cowrie | d2a9b30f5fd23428baf32e2de1d24e944cf8cde7 | [
"BSD-3-Clause"
] | null | null | null | src/cowrie/output/rethinkdblog.py | GreyNoise-Intelligence/cowrie | d2a9b30f5fd23428baf32e2de1d24e944cf8cde7 | [
"BSD-3-Clause"
] | null | null | null | src/cowrie/output/rethinkdblog.py | GreyNoise-Intelligence/cowrie | d2a9b30f5fd23428baf32e2de1d24e944cf8cde7 | [
"BSD-3-Clause"
] | null | null | null | import time
from datetime import datetime
import rethinkdb as r
import cowrie.core.output
from cowrie.core.config import CowrieConfig
def iso8601_to_timestamp(value):
return time.mktime(datetime.strptime(value, "%Y-%m-%dT%H:%M:%S.%fZ").timetuple())
RETHINK_DB_SEGMENT = "output_rethinkdblog"
class Output(cow... | 31.270833 | 85 | 0.655563 |
7973a03d2a1067cbb08419cd985d8b082ea4785b | 4,598 | py | Python | tempest/api/identity/admin/v2/test_services.py | gamado/ds_tempest_rm_me_please | 3f5d149b3a32e713c60c59a054035ac2e5c73c28 | [
"Apache-2.0"
] | null | null | null | tempest/api/identity/admin/v2/test_services.py | gamado/ds_tempest_rm_me_please | 3f5d149b3a32e713c60c59a054035ac2e5c73c28 | [
"Apache-2.0"
] | null | null | null | tempest/api/identity/admin/v2/test_services.py | gamado/ds_tempest_rm_me_please | 3f5d149b3a32e713c60c59a054035ac2e5c73c28 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 OpenStack Foundation
# 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 requ... | 43.790476 | 78 | 0.671596 |
7973a19814041f6b854d20adc6d93e3696283618 | 597 | py | Python | kobert/__init__.py | SeongJunKang/pytorch-bert-crf-ner | 2affbd1674517e662e2be93a41102ceedbb9ff1f | [
"Apache-2.0"
] | 353 | 2019-11-01T18:23:27.000Z | 2022-03-29T06:07:35.000Z | kobert/__init__.py | SeongJunKang/pytorch-bert-crf-ner | 2affbd1674517e662e2be93a41102ceedbb9ff1f | [
"Apache-2.0"
] | 33 | 2020-02-12T10:37:26.000Z | 2020-02-17T02:44:37.000Z | kobert/__init__.py | SeongJunKang/pytorch-bert-crf-ner | 2affbd1674517e662e2be93a41102ceedbb9ff1f | [
"Apache-2.0"
] | 95 | 2019-11-01T20:40:07.000Z | 2022-03-10T11:48:53.000Z | # coding=utf-8
# Copyright 2019 SK T-Brain 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... | 42.642857 | 74 | 0.760469 |
7973a20e22fac2f33e1401eba3440c88df66cad3 | 813 | py | Python | src/kyoto_reader/scripts/docsplit.py | kevin3314/kyoto-reader | ee8f94376df6d1abcafbbd253265f4ff79c4444e | [
"MIT"
] | 11 | 2019-11-20T06:21:43.000Z | 2022-01-07T09:21:24.000Z | src/kyoto_reader/scripts/docsplit.py | kevin3314/kyoto-reader | ee8f94376df6d1abcafbbd253265f4ff79c4444e | [
"MIT"
] | 10 | 2020-02-17T08:17:15.000Z | 2022-03-29T01:49:17.000Z | src/kyoto_reader/scripts/docsplit.py | kevin3314/kyoto-reader | ee8f94376df6d1abcafbbd253265f4ff79c4444e | [
"MIT"
] | 3 | 2020-06-30T04:28:53.000Z | 2021-02-01T14:23:33.000Z | import argparse
from typing import Dict
from pathlib import Path
from kyoto_reader import KyotoReader
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--input-dir', '-i', default=None, type=str,
help='path to input knp directory')
parser.add_argument('--output-d... | 29.035714 | 69 | 0.623616 |
7973a27663707537be96e669098dd22ff5bfea3d | 5,067 | py | Python | lte/gateway/python/magma/enodebd/devices/device_utils.py | nstng/magma | dec2691450f4bdd9e25d1e2eb0a38dc893dfeb7f | [
"BSD-3-Clause"
] | 539 | 2019-02-25T05:03:10.000Z | 2020-07-24T11:13:15.000Z | lte/gateway/python/magma/enodebd/devices/device_utils.py | nstng/magma | dec2691450f4bdd9e25d1e2eb0a38dc893dfeb7f | [
"BSD-3-Clause"
] | 1,729 | 2019-02-25T16:02:33.000Z | 2020-07-24T23:40:07.000Z | lte/gateway/python/magma/enodebd/devices/device_utils.py | nstng/magma | dec2691450f4bdd9e25d1e2eb0a38dc893dfeb7f | [
"BSD-3-Clause"
] | 210 | 2019-02-25T13:34:53.000Z | 2020-07-23T20:16:18.000Z | """
Copyright 2020 The Magma Authors.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES O... | 35.433566 | 85 | 0.670811 |
7973a2774be82413316518b58c2438d2adfb9c9f | 714 | py | Python | scrapy_splash/cache.py | wunde005/scrapy-splash | 71bb56d167282611688e9bcf78ea9a42211fd6c9 | [
"BSD-3-Clause"
] | 3 | 2020-05-16T01:54:47.000Z | 2021-04-27T01:37:08.000Z | scrapy_splash/cache.py | wunde005/scrapy-splash | 71bb56d167282611688e9bcf78ea9a42211fd6c9 | [
"BSD-3-Clause"
] | 7 | 2020-05-11T01:45:45.000Z | 2022-03-02T14:58:30.000Z | scrapy_splash/cache.py | wunde005/scrapy-splash | 71bb56d167282611688e9bcf78ea9a42211fd6c9 | [
"BSD-3-Clause"
] | 1 | 2020-07-19T04:31:01.000Z | 2020-07-19T04:31:01.000Z | # -*- coding: utf-8 -*-
"""
To handle "splash" Request meta key correctly when HTTP cache is enabled
Scrapy needs a custom caching backed.
See https://github.com/scrapy/scrapy/issues/900 for more info.
"""
from __future__ import absolute_import
import os
try:
from scrapy.extensions.httpcache import FilesystemCach... | 29.75 | 72 | 0.767507 |
7973a3e2bae8643de5fc70d8986ea79b55864fd6 | 16,180 | py | Python | test/integration/plugins/nuagevsp/test_nuage_password_reset.py | serbaut/cloudstack | 9513053f4256375e892df27d0c26644d1fe41725 | [
"Apache-2.0"
] | null | null | null | test/integration/plugins/nuagevsp/test_nuage_password_reset.py | serbaut/cloudstack | 9513053f4256375e892df27d0c26644d1fe41725 | [
"Apache-2.0"
] | null | null | null | test/integration/plugins/nuagevsp/test_nuage_password_reset.py | serbaut/cloudstack | 9513053f4256375e892df27d0c26644d1fe41725 | [
"Apache-2.0"
] | 1 | 2018-03-26T17:53:33.000Z | 2018-03-26T17:53:33.000Z | # 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
# "License"); you may not u... | 46.628242 | 79 | 0.58152 |
7973a74578f90a5f5c2fec4b2ef05e2866cae932 | 777 | py | Python | src/main/resources/scripts/plot.py | denysvitali/tsp-cup-2019 | 7ba5eac927067d385a5ac18c117a603ab76c5249 | [
"MIT"
] | 2 | 2021-03-30T22:55:31.000Z | 2022-01-26T09:28:56.000Z | src/main/resources/scripts/plot.py | denysvitali/tsp-cup-2019 | 7ba5eac927067d385a5ac18c117a603ab76c5249 | [
"MIT"
] | null | null | null | src/main/resources/scripts/plot.py | denysvitali/tsp-cup-2019 | 7ba5eac927067d385a5ac18c117a603ab76c5249 | [
"MIT"
] | null | null | null | import sys
import numpy as np
import pylab as pl
from matplotlib import collections as mc
from matplotlib.pyplot import cm
def plotFile(path):
file = open(path, 'r').read()
blocks = file.split('\n\n')
lines = list()
for block in blocks:
sub = block.split('\n')
if len(sub) == 1 and s... | 21.583333 | 47 | 0.53668 |
7973a7be798b9855d43acd39f92f8f8f379d2005 | 512 | py | Python | tron/Hub/Reply/Decoders/ReplyDecoder.py | sdss/tron | 886c5c5fb6341ad85e4a9f5d6f5ecb6bbc0d8322 | [
"BSD-3-Clause"
] | null | null | null | tron/Hub/Reply/Decoders/ReplyDecoder.py | sdss/tron | 886c5c5fb6341ad85e4a9f5d6f5ecb6bbc0d8322 | [
"BSD-3-Clause"
] | null | null | null | tron/Hub/Reply/Decoders/ReplyDecoder.py | sdss/tron | 886c5c5fb6341ad85e4a9f5d6f5ecb6bbc0d8322 | [
"BSD-3-Clause"
] | null | null | null | __all__ = ['ReplyDecoder']
from tron import Misc
class ReplyDecoder(Misc.Object):
""" Base class for decoders for incoming replies.
"""
def __init__(self, **argv):
Misc.Object.__init__(self, **argv)
self.name = argv.get('name', 'unnamed')
self.nubID = None
def setNub(self,... | 20.48 | 83 | 0.605469 |
7973a7d7f8d4896a3a4a6c3298790ac943789305 | 28,520 | py | Python | pirates/minigame/CannonDefenseGlobals.py | ksmit799/POTCO-PS | 520d38935ae8df4b452c733a82c94dddac01e275 | [
"Apache-2.0"
] | 8 | 2017-01-24T04:33:29.000Z | 2020-11-01T08:36:24.000Z | pirates/minigame/CannonDefenseGlobals.py | ksmit799/Pirates-Online-Remake | 520d38935ae8df4b452c733a82c94dddac01e275 | [
"Apache-2.0"
] | 1 | 2017-03-02T18:05:17.000Z | 2017-03-14T06:47:10.000Z | pirates/minigame/CannonDefenseGlobals.py | ksmit799/Pirates-Online-Remake | 520d38935ae8df4b452c733a82c94dddac01e275 | [
"Apache-2.0"
] | 11 | 2017-03-02T18:46:07.000Z | 2020-11-01T08:36:26.000Z | # File: C (Python 2.4)
from pirates.uberdog.UberDogGlobals import InventoryType
from pirates.piratesbase import PiratesGlobals
from pirates.ship import ShipGlobals
from pirates.inventory import ItemGlobals
from pirates.uberdog.UberDogGlobals import InventoryType
DAZED_ENABLED = True
PLAYER_AFK_TIMEOUT = 300
GAME_OVER_... | 30.084388 | 64 | 0.490919 |
7973a7e0a7ce48513a601649a536814ab5a4d34a | 89 | py | Python | cargotracker/cargo/admin.py | MandelaK/CargoTracker | 60d034681da66771412fc73402d690a9fcaa5920 | [
"MIT"
] | null | null | null | cargotracker/cargo/admin.py | MandelaK/CargoTracker | 60d034681da66771412fc73402d690a9fcaa5920 | [
"MIT"
] | 3 | 2020-06-06T00:42:25.000Z | 2022-02-10T13:33:21.000Z | cargotracker/cargo/admin.py | MandelaK/CargoTracker | 60d034681da66771412fc73402d690a9fcaa5920 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Cargo
admin.site.register(Cargo)
| 12.714286 | 32 | 0.797753 |
7973a9ae8c03f19b501075a3472144ad148135f9 | 6,558 | py | Python | models/embed.py | macul99/Informer2020 | 7e1e3979ea912879e16194e3bf93062458f2cb9e | [
"Apache-2.0"
] | null | null | null | models/embed.py | macul99/Informer2020 | 7e1e3979ea912879e16194e3bf93062458f2cb9e | [
"Apache-2.0"
] | null | null | null | models/embed.py | macul99/Informer2020 | 7e1e3979ea912879e16194e3bf93062458f2cb9e | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
#import torch.nn.functional as F
import math
class PositionalEmbedding(nn.Module):
'''
Encode position index to d_model dimension feature
'''
def __init__(self, d_model, max_len=5000):
super(PositionalEmbedding, self).__init__()
# buffer placeholder
... | 36.232044 | 202 | 0.604148 |
7973a9b1c72997d28c3d1ae0144ea5faec973f39 | 1,084 | py | Python | guests/migrations/0005_auto_20180927_0658.py | AntJLopez/django_wedding | 6dadca4f89e417b77613af691ecef751480d987e | [
"MIT"
] | null | null | null | guests/migrations/0005_auto_20180927_0658.py | AntJLopez/django_wedding | 6dadca4f89e417b77613af691ecef751480d987e | [
"MIT"
] | 9 | 2020-02-11T23:04:26.000Z | 2022-03-11T23:28:02.000Z | guests/migrations/0005_auto_20180927_0658.py | AntJLopez/django_wedding | 6dadca4f89e417b77613af691ecef751480d987e | [
"MIT"
] | null | null | null | # Generated by Django 2.1 on 2018-09-27 10:58
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('payments', '0002_auto_20180925_0336'),
('guests', '0004_auto_20180927_0327'),
]
operations = [
... | 30.971429 | 135 | 0.579336 |
7973a9e18a5f6a900736b973696fbcc38b3c8e08 | 1,669 | py | Python | social_core/tests/backends/test_globus.py | shnaqawi/social-core | 402e15bd2854ade0b8f0d19663966473f0e1c6ff | [
"BSD-3-Clause"
] | 2 | 2018-11-26T02:51:56.000Z | 2018-12-06T02:58:58.000Z | social_core/tests/backends/test_globus.py | shnaqawi/social-core | 402e15bd2854ade0b8f0d19663966473f0e1c6ff | [
"BSD-3-Clause"
] | 10 | 2019-12-26T17:31:31.000Z | 2022-03-21T22:17:33.000Z | social_core/tests/backends/test_globus.py | shnaqawi/social-core | 402e15bd2854ade0b8f0d19663966473f0e1c6ff | [
"BSD-3-Clause"
] | 1 | 2018-09-30T17:49:03.000Z | 2018-09-30T17:49:03.000Z | import unittest2
from .oauth import OAuth1Test, OAuth2Test
from .open_id_connect import OpenIdConnectTestMixin, NO_JWKEST
@unittest2.skipIf(NO_JWKEST, 'No Jwkest installed')
class GlobusOpenIdConnectTest(OpenIdConnectTestMixin, OAuth2Test):
backend_path = \
'social_core.backends.globus.GlobusOpenIdConnec... | 32.096154 | 84 | 0.515279 |
7973a9ee2d7ff0f3f18a312d1ed8370f3e0f27f4 | 1,062 | py | Python | bevm/block.py | sorawit/bevm | 850b2d64fc12dae92d9cdaf8b4c48b90cc0d05d6 | [
"MIT"
] | 1 | 2021-09-15T10:16:46.000Z | 2021-09-15T10:16:46.000Z | bevm/block.py | sorawit/bevm | 850b2d64fc12dae92d9cdaf8b4c48b90cc0d05d6 | [
"MIT"
] | null | null | null | bevm/block.py | sorawit/bevm | 850b2d64fc12dae92d9cdaf8b4c48b90cc0d05d6 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from rlp import encode, decode
from rlp.sedes import big_endian_int
from eth.constants import BLANK_ROOT_HASH
from bevm.hashable import Hashable
@dataclass
class Block(Hashable):
timestamp: int
prev_block_hash: bytes
action_hash: bytes
min_gas_price: int
state_roo... | 27.230769 | 92 | 0.652542 |
7973ab2036533c5aa0a8c1a39050cbc9b08a8441 | 1,361 | py | Python | app/core/tests/test_models.py | Gal94/recipe-app-api | 332218ff1cba565926a083b2c4c6ada94e51d357 | [
"MIT"
] | 1 | 2020-12-06T14:47:34.000Z | 2020-12-06T14:47:34.000Z | app/core/tests/test_models.py | Gal94/recipe-app-api | 332218ff1cba565926a083b2c4c6ada94e51d357 | [
"MIT"
] | null | null | null | app/core/tests/test_models.py | Gal94/recipe-app-api | 332218ff1cba565926a083b2c4c6ada94e51d357 | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.contrib.auth import get_user_model
class ModelTests(TestCase):
def test_create_user_with_email_successful(self):
"""Test creating a new user with email is successful"""
email = 'test@gmail.com'
password = 'Testpass123'
# Create the user... | 32.404762 | 69 | 0.653196 |
7973ad173b46c6f8f7eefdaf814c9585ccbff42b | 462 | py | Python | example.py | natterbr21/wordleGamePython | 453f5efdbfc3443a5e42a9bdd43873540ad5277a | [
"MIT"
] | null | null | null | example.py | natterbr21/wordleGamePython | 453f5efdbfc3443a5e42a9bdd43873540ad5277a | [
"MIT"
] | null | null | null | example.py | natterbr21/wordleGamePython | 453f5efdbfc3443a5e42a9bdd43873540ad5277a | [
"MIT"
] | null | null | null | from wordleGame import Game
# creates new game object for wordle game number 122
newGame = Game(122)
# print correct answer for given game number
print(newGame.getAnswer())
# prints comet
# submitting guess of the word and printing the result
# 0 is equivalent to a grey square, 1 is a yellow square, and 2 is a green... | 27.176471 | 81 | 0.768398 |
7973ae110b4d2de8f2c32c2d284aa353501d0327 | 56,910 | py | Python | vedadet/datasets/pipelines/transforms.py | huangwenwenlili/vedadet | 1d66e07538792799c2f12c6b1d381e2c1374d623 | [
"Apache-2.0"
] | 2 | 2021-12-07T08:28:39.000Z | 2022-01-17T09:22:01.000Z | vedadet/datasets/pipelines/transforms.py | huangwenwenlili/vedadet | 1d66e07538792799c2f12c6b1d381e2c1374d623 | [
"Apache-2.0"
] | 1 | 2021-11-15T09:09:10.000Z | 2021-12-08T09:02:56.000Z | vedadet/datasets/pipelines/transforms.py | huangwenwenlili/vedadet | 1d66e07538792799c2f12c6b1d381e2c1374d623 | [
"Apache-2.0"
] | 1 | 2021-03-16T05:37:15.000Z | 2021-03-16T05:37:15.000Z | # adapted from https://github.com/open-mmlab/mmcv or
# https://github.com/open-mmlab/mmdetection
import inspect
import numpy as np
from numpy import random
import vedacore.image as image
from vedacore.misc import is_list_of, is_str, registry
from vedadet.misc.bbox import bbox_overlaps
try:
from imagecorruptions i... | 38.041444 | 79 | 0.560112 |
7973aebb45b246873a54d6fa17c6ad283f6063a5 | 5,906 | py | Python | dash/html/Slot.py | sthagen/plotly-dash | 4a9412efe5229809016eee9a5f1c50f882720c4c | [
"MIT"
] | null | null | null | dash/html/Slot.py | sthagen/plotly-dash | 4a9412efe5229809016eee9a5f1c50f882720c4c | [
"MIT"
] | null | null | null | dash/html/Slot.py | sthagen/plotly-dash | 4a9412efe5229809016eee9a5f1c50f882720c4c | [
"MIT"
] | null | null | null | # AUTO GENERATED FILE - DO NOT EDIT
from dash.development.base_component import Component, _explicitize_args
class Slot(Component):
"""A Slot component.
Slot is a wrapper for the <slot> HTML5 element.
For detailed attribute info see:
https://developer.mozilla.org/en-US/docs/Web/HTML/Element/slot
... | 31.752688 | 84 | 0.596173 |
7973af570a09dd468b66e102ab8532d45cc7f69e | 403 | py | Python | assets/HTB_CTF_2021/logger_decrypt.py | NapongiZero/blog | b84750464e910bdca79559306e0ed9106cf1958a | [
"CC0-1.0"
] | null | null | null | assets/HTB_CTF_2021/logger_decrypt.py | NapongiZero/blog | b84750464e910bdca79559306e0ed9106cf1958a | [
"CC0-1.0"
] | null | null | null | assets/HTB_CTF_2021/logger_decrypt.py | NapongiZero/blog | b84750464e910bdca79559306e0ed9106cf1958a | [
"CC0-1.0"
] | 1 | 2021-06-25T16:40:47.000Z | 2021-06-25T16:40:47.000Z | from Crypto.Cipher import AES
import base64, os
key = 'w0MrV1vBmZi1Z17v'
iv = 'Kh54H8JTmOYq5mre'
cipher = AES.new(key.encode('utf-8'), AES.MODE_CFB, iv.encode('utf-8'))
with open('anvzdgfuw1l.txt', 'r') as f:
enc_txt = f.readlines()
try:
for line in enc_txt:
pt = cipher.decrypt(base64.b64decode(li... | 25.1875 | 71 | 0.652605 |
7973af5d66a835d2e9772a8eee2ae8203be0f458 | 5,581 | py | Python | torchreid/datasets/mars.py | yyyjoe/deep-person-reid | 82380612ca87928c772ea8059da5cb8c6bb06e0c | [
"MIT"
] | 244 | 2019-08-03T16:56:42.000Z | 2020-08-08T00:57:21.000Z | torchreid/datasets/mars.py | yyyjoe/deep-person-reid | 82380612ca87928c772ea8059da5cb8c6bb06e0c | [
"MIT"
] | 31 | 2019-08-09T09:13:22.000Z | 2020-08-11T07:27:47.000Z | torchreid/datasets/mars.py | yyyjoe/deep-person-reid | 82380612ca87928c772ea8059da5cb8c6bb06e0c | [
"MIT"
] | 44 | 2019-08-09T00:55:48.000Z | 2020-07-27T03:52:13.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import glob
import re
import sys
import urllib
import tarfile
import zipfile
import os.path as osp
from scipy.io import loadmat
import numpy as np
import h5py
from scipy.misc import imsave
from .base... | 43.263566 | 125 | 0.668339 |
7973af6327edc63251bf003937e58a53d2876fb2 | 1,106 | py | Python | agent/indy_catalyst_agent/messaging/connections/messages/connection_request.py | mikelodder7/indy-catalyst | 5e80d8d6764144303b7ef1851aee32291bcb2d98 | [
"Apache-2.0"
] | null | null | null | agent/indy_catalyst_agent/messaging/connections/messages/connection_request.py | mikelodder7/indy-catalyst | 5e80d8d6764144303b7ef1851aee32291bcb2d98 | [
"Apache-2.0"
] | null | null | null | agent/indy_catalyst_agent/messaging/connections/messages/connection_request.py | mikelodder7/indy-catalyst | 5e80d8d6764144303b7ef1851aee32291bcb2d98 | [
"Apache-2.0"
] | null | null | null | """
Represents a connection request message.
"""
from marshmallow import fields
from ...agent_message import AgentMessage, AgentMessageSchema
from ..message_types import CONNECTION_REQUEST
from ....models.connection_detail import ConnectionDetail, ConnectionDetailSchema
HANDLER_CLASS = (
"indy_catalyst_agent.mes... | 24.577778 | 81 | 0.702532 |
7973aface00a6c0ea46e85f25b623fe504154318 | 1,578 | py | Python | tensorpack/utils/serialize.py | zhengknight/tensorpack | 726747313fb2f189dd195d32087897b16a23be0a | [
"Apache-2.0"
] | 1 | 2019-05-07T15:23:33.000Z | 2019-05-07T15:23:33.000Z | tensorpack/utils/serialize.py | zhengknight/tensorpack | 726747313fb2f189dd195d32087897b16a23be0a | [
"Apache-2.0"
] | null | null | null | tensorpack/utils/serialize.py | zhengknight/tensorpack | 726747313fb2f189dd195d32087897b16a23be0a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# File: serialize.py
import os
from .develop import create_dummy_func
__all__ = ['loads', 'dumps']
def dumps_msgpack(obj):
"""
Serialize an object.
Returns:
Implementation-dependent bytes-like object
"""
return msgpack.dumps(obj, use_bin_type=True)
def loads_msg... | 22.542857 | 92 | 0.66033 |
7973afcecb931eddddca0f458cdb684fd19b66b4 | 1,381 | py | Python | tests/test_watchmedo.py | LeastAuthority/watchdog | e4297f0f7149763f6e93536746e3c87f9d1fa699 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | tests/test_watchmedo.py | LeastAuthority/watchdog | e4297f0f7149763f6e93536746e3c87f9d1fa699 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | tests/test_watchmedo.py | LeastAuthority/watchdog | e4297f0f7149763f6e93536746e3c87f9d1fa699 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from watchdog import watchmedo
import pytest
from yaml.constructor import ConstructorError
from yaml.scanner import ScannerError
import os
def test_load_config_valid(tmpdir):
"""Verifies the load of a valid yaml file"""
yaml_file = os.path.join... | 30.688889 | 80 | 0.680666 |
7973b008392b4f4dc3867afe7c1b92ff6764252c | 4,418 | py | Python | tests/test_statistics.py | LukichevaPolina/dpnp | 5f5a679905d237ac7be1cc9ad1075877a9f77e39 | [
"BSD-2-Clause"
] | 37 | 2020-09-08T00:38:52.000Z | 2022-03-18T01:44:10.000Z | tests/test_statistics.py | LukichevaPolina/dpnp | 5f5a679905d237ac7be1cc9ad1075877a9f77e39 | [
"BSD-2-Clause"
] | 432 | 2020-09-07T09:48:41.000Z | 2022-03-25T17:50:55.000Z | tests/test_statistics.py | LukichevaPolina/dpnp | 5f5a679905d237ac7be1cc9ad1075877a9f77e39 | [
"BSD-2-Clause"
] | 17 | 2020-09-07T10:00:34.000Z | 2022-03-25T13:53:43.000Z | import pytest
import dpnp
import numpy
@pytest.mark.parametrize("type",
[numpy.float64, numpy.float32, numpy.int64, numpy.int32],
ids=['float64', 'float32', 'int64', 'int32'])
@pytest.mark.parametrize("size",
[2, 4, 8, 16, 3, 9, 27, 81])
def... | 38.754386 | 82 | 0.390222 |
7973b27601237d2519584ccb9307f3a842176879 | 105,467 | py | Python | pandas/tests/test_panel.py | mapehe/pandas | 8ddc0fd801d794fcd7735816790dff66d1c678e2 | [
"BSD-3-Clause"
] | 3 | 2018-08-21T14:13:25.000Z | 2022-02-28T01:36:26.000Z | venv/Lib/site-packages/pandas/tests/test_panel.py | feitianyiren/Spider | 832d81fa55c0413fac441a05cef25a508ff0c308 | [
"Unlicense"
] | 1 | 2019-08-17T13:20:28.000Z | 2019-08-17T13:20:28.000Z | venv/Lib/site-packages/pandas/tests/test_panel.py | feitianyiren/Spider | 832d81fa55c0413fac441a05cef25a508ff0c308 | [
"Unlicense"
] | 1 | 2020-06-18T15:56:53.000Z | 2020-06-18T15:56:53.000Z | # -*- coding: utf-8 -*-
# pylint: disable=W0612,E1101
from warnings import catch_warnings
from datetime import datetime
import operator
import pytest
import numpy as np
from pandas.core.dtypes.common import is_float_dtype
from pandas import (Series, DataFrame, Index, date_range, isna, notna,
pivo... | 38.774632 | 102 | 0.507277 |
7973b32b4792b477f742d5617de93d674d2b1465 | 2,743 | py | Python | filesystem_listener/operations.py | joaovitor123jv/rontext | 0e4d2bb9df879a0331037af9bf49e39e5a6b4e24 | [
"MIT"
] | 1 | 2022-02-21T03:54:44.000Z | 2022-02-21T03:54:44.000Z | filesystem_listener/operations.py | joaovitor123jv/rontext | 0e4d2bb9df879a0331037af9bf49e39e5a6b4e24 | [
"MIT"
] | null | null | null | filesystem_listener/operations.py | joaovitor123jv/rontext | 0e4d2bb9df879a0331037af9bf49e39e5a6b4e24 | [
"MIT"
] | null | null | null | import subprocess
import settings
import time_parser
import time
import database
import helpers
import os
def isProjectRelated(path):
return (
path.startswith( os.environ['HOME'] + "/Documentos/UFG-CDC/PFC/PFC2/Sistema" )
or
path.startswith( os.environ['HOME'] + "/.ctxt_search-")
)
def... | 29.815217 | 106 | 0.663143 |
7973b38898880fdfc15055e06e371b36983b568b | 703 | py | Python | Euler 44.py | Babnik21/Euler | e73f27ca477c58940a8212b17cd86fce9684e15b | [
"MIT"
] | null | null | null | Euler 44.py | Babnik21/Euler | e73f27ca477c58940a8212b17cd86fce9684e15b | [
"MIT"
] | null | null | null | Euler 44.py | Babnik21/Euler | e73f27ca477c58940a8212b17cd86fce9684e15b | [
"MIT"
] | null | null | null |
def nta_penta(n):
return n*( 3 * n - 1)//2
def pente_do(n, od = 1):
sez = []
for i in range(od, n + 1):
sez.append(nta_penta(i))
return sez
def dodaj_pento(sez, n):
return sez + [nta_penta(n)]
seznam = pente_do(500)
i = 501
razlike = []
nadaljuj = True
resitev = []
while nadaljuj:
s... | 15.282609 | 41 | 0.519203 |
7973b41ffda5aa99fe4aa8c67c6a44d1a2522c53 | 3,425 | py | Python | src/lib/utils.py | peanutstars/PiWeb | f20d79ce8d0e737d9328f4d2b9a2bed3581be7d2 | [
"Apache-2.0"
] | null | null | null | src/lib/utils.py | peanutstars/PiWeb | f20d79ce8d0e737d9328f4d2b9a2bed3581be7d2 | [
"Apache-2.0"
] | null | null | null | src/lib/utils.py | peanutstars/PiWeb | f20d79ce8d0e737d9328f4d2b9a2bed3581be7d2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import datetime
import json
import time
class Stamp:
# FORM = '%Y-%m-%d %H:%M:%S.%f'
FORM = '%Y-%m-%d %H:%M:%S'
TZ_FORM = '%Y-%m-%d %H:%M:%S %Z%z'
FILE_FORM = '%Y%m%d-%H%M%S'
@classmethod
def now(cls, form=FORM):
return dat... | 33.910891 | 95 | 0.560876 |
7973b447931ff36799c957d9fd25a0a7f715f251 | 2,964 | py | Python | Sensor/PM/SDS011/sds011.py | tabspacekr/HomeAssistant | 23606fe631743648497f2c14e2f2badcd477c139 | [
"Apache-2.0"
] | 1 | 2021-04-11T04:24:53.000Z | 2021-04-11T04:24:53.000Z | Sensor/PM/SDS011/sds011.py | tabspacekr/HomeAssistant | 23606fe631743648497f2c14e2f2badcd477c139 | [
"Apache-2.0"
] | null | null | null | Sensor/PM/SDS011/sds011.py | tabspacekr/HomeAssistant | 23606fe631743648497f2c14e2f2badcd477c139 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python -u
# coding=utf-8
# "DATASHEET": http://cl.ly/ekot
# original code by https://gist.github.com/kadamski/92653913a53baf9dd1a8
from __future__ import print_function
import serial, struct, sys, time, subprocess
DEBUG = 0
CMD_MODE = 2
CMD_QUERY_DATA = 4
CMD_DEVICE_ID = 5
CMD_SLEEP = 6
CMD_FIRMWARE = 7
CMD... | 25.773913 | 136 | 0.610661 |
7973b63e552d29c0682114e862cf805ba0d47c83 | 2,167 | py | Python | pset1/ps1c.py | MarcoDSilva/MIT6001x-Introduction-to-Computer-Science-and-Programming-in-Python | 7a62970e4f06c24e0d34c2ee5ad2c2377e9cdce8 | [
"MIT"
] | null | null | null | pset1/ps1c.py | MarcoDSilva/MIT6001x-Introduction-to-Computer-Science-and-Programming-in-Python | 7a62970e4f06c24e0d34c2ee5ad2c2377e9cdce8 | [
"MIT"
] | null | null | null | pset1/ps1c.py | MarcoDSilva/MIT6001x-Introduction-to-Computer-Science-and-Programming-in-Python | 7a62970e4f06c24e0d34c2ee5ad2c2377e9cdce8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed May 20 13:37:04 2020
Pset1 , exercise 3 for MIT 6.0001s
@author: MarcoSilva
"""
"""
You have graduated from MIT and now have a great job! You move to the San Francisco Bay Area and
decide that you want to start saving to buy a house. As housing prices are very high in the B... | 26.426829 | 102 | 0.652976 |
7973b72748c2701db1dc77ef0d8723e3bb2f19ff | 870 | py | Python | Payload_Types/poseidon/mythic/agent_functions/jobkill.py | xorrior/Mythic | ea348b66e1d96e88e0e7fbabff182945cbdf12b6 | [
"BSD-3-Clause"
] | 2 | 2021-01-28T19:35:46.000Z | 2021-04-08T12:01:48.000Z | Payload_Types/poseidon/mythic/agent_functions/jobkill.py | xorrior/Mythic | ea348b66e1d96e88e0e7fbabff182945cbdf12b6 | [
"BSD-3-Clause"
] | null | null | null | Payload_Types/poseidon/mythic/agent_functions/jobkill.py | xorrior/Mythic | ea348b66e1d96e88e0e7fbabff182945cbdf12b6 | [
"BSD-3-Clause"
] | 2 | 2021-06-23T18:59:18.000Z | 2021-08-20T00:06:49.000Z | from CommandBase import *
import json
class JobKillArguments(TaskArguments):
def __init__(self, command_line):
super().__init__(command_line)
self.args = {}
async def parse_arguments(self):
pass
class JobKillCommand(CommandBase):
cmd = "jobkill"
needs_admin = False
help_... | 24.857143 | 88 | 0.682759 |
7973b738cbc44db69db67ee7b5fc7d7fe78bd303 | 721 | py | Python | question2.py | scottynate05/Python-Basics | b97d71a091974c98134e3bcdb5abf603dd9610ae | [
"MIT"
] | null | null | null | question2.py | scottynate05/Python-Basics | b97d71a091974c98134e3bcdb5abf603dd9610ae | [
"MIT"
] | null | null | null | question2.py | scottynate05/Python-Basics | b97d71a091974c98134e3bcdb5abf603dd9610ae | [
"MIT"
] | null | null | null | # Create a function that returns True if the given string has any of the following:
# Only letters and no numbers.
# Only numbers and no letters.
# If a string has both numbers and letters or contains characters that don't fit into any category, return False.
# Examples:
# csAlphanumericRestriction("Bold") ➞ True
# ... | 28.84 | 113 | 0.740638 |
7973b7b1d173d97097c81ac0ad8a47ad12f34ec6 | 21,142 | py | Python | IBSNview.py | vsjoen/IBSNtools | 99fc9425eb9b89ee95027265567985bdae969165 | [
"MIT"
] | null | null | null | IBSNview.py | vsjoen/IBSNtools | 99fc9425eb9b89ee95027265567985bdae969165 | [
"MIT"
] | null | null | null | IBSNview.py | vsjoen/IBSNtools | 99fc9425eb9b89ee95027265567985bdae969165 | [
"MIT"
] | null | null | null | import tkinter as tk
from tkinter import ttk
from tkinter import *
from tkinter import filedialog as fd
from tkinter.messagebox import showinfo
from PIL import ImageTk, Image, ExifTags
from PIL.ExifTags import TAGS
from pathlib import Path
import glob, os, sys
import ntpath
import math
import re
import fnmatch
import p... | 32.526154 | 409 | 0.583294 |
7973b88b828c009f6d173ef124dbf7f70493e1d3 | 38,602 | py | Python | openpype/tools/workfiles/app.py | 2-REC-forks/OpenPype | d9bdf007b81d8e461eba3f5a8045b5a2f81476e2 | [
"MIT"
] | null | null | null | openpype/tools/workfiles/app.py | 2-REC-forks/OpenPype | d9bdf007b81d8e461eba3f5a8045b5a2f81476e2 | [
"MIT"
] | 4 | 2022-02-04T07:55:06.000Z | 2022-02-23T14:36:30.000Z | openpype/tools/workfiles/app.py | BigRoy/OpenPype | dd0e3657b4e66740f55feddb2693acfd14e2c9ef | [
"MIT"
] | null | null | null | import sys
import os
import copy
import getpass
import shutil
import logging
import datetime
import Qt
from Qt import QtWidgets, QtCore
from avalon import io, api, pipeline
from openpype import style
from openpype.tools.utils.lib import (
schedule,
qt_app_context
)
from openpype.tools.utils import Placeholder... | 33.077978 | 79 | 0.622144 |
7973b8a612485852f147a1213fc326141b6b1e7e | 1,266 | py | Python | dataset/images2/simple_classification.py | gtesei/fast-furious | b974e6b71be92ad8892864794af57631291ebac1 | [
"MIT"
] | 19 | 2015-06-24T00:04:11.000Z | 2021-02-28T16:55:44.000Z | dataset/images2/simple_classification.py | gtesei/fast-furious | b974e6b71be92ad8892864794af57631291ebac1 | [
"MIT"
] | null | null | null | dataset/images2/simple_classification.py | gtesei/fast-furious | b974e6b71be92ad8892864794af57631291ebac1 | [
"MIT"
] | 4 | 2016-10-11T17:36:44.000Z | 2019-08-16T10:03:04.000Z | import mahotas as mh
from sklearn import cross_validation
from sklearn.linear_model.logistic import LogisticRegression
import numpy as np
from glob import glob
from edginess import edginess_sobel
#basedir = 'simple-dataset'
basedir = 'simple-dataset/'
def features_for(im):
im = mh.imread(im,as_grey=True).astype(... | 30.142857 | 131 | 0.729858 |
7973b9370aa368228a145acdd9511e42de46b2ed | 85 | py | Python | hknweb/shortlinks/admin.py | yuji3w/hknweb | 0df5369da28f46dc9016da97652cb6b8e2b7f3e6 | [
"MIT"
] | 1 | 2021-02-11T23:09:14.000Z | 2021-02-11T23:09:14.000Z | hknweb/shortlinks/admin.py | yuji3w/hknweb | 0df5369da28f46dc9016da97652cb6b8e2b7f3e6 | [
"MIT"
] | null | null | null | hknweb/shortlinks/admin.py | yuji3w/hknweb | 0df5369da28f46dc9016da97652cb6b8e2b7f3e6 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Link
admin.site.register(Link)
| 17 | 32 | 0.811765 |
7973b9a73799d12d1f8ddd6a0abdb21e76120eb2 | 5,017 | py | Python | a10_octavia/a10_config.py | richuc/a10-octavia | dddb3e4695c38cbb72ecf7f99a8e746869590ae2 | [
"Apache-2.0"
] | null | null | null | a10_octavia/a10_config.py | richuc/a10-octavia | dddb3e4695c38cbb72ecf7f99a8e746869590ae2 | [
"Apache-2.0"
] | null | null | null | a10_octavia/a10_config.py | richuc/a10-octavia | dddb3e4695c38cbb72ecf7f99a8e746869590ae2 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019, A10 Networks
#
# 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 a... | 33.898649 | 96 | 0.628264 |
7973b9f14d64e754b61d3f6bf2b955521d57dda0 | 19,214 | py | Python | catkin_tools/verbs/catkin_build/cli.py | betwo/catkin_tools | b7cac345be0fd0f6efafafda25f3e3660d69c9d1 | [
"Apache-2.0"
] | null | null | null | catkin_tools/verbs/catkin_build/cli.py | betwo/catkin_tools | b7cac345be0fd0f6efafafda25f3e3660d69c9d1 | [
"Apache-2.0"
] | null | null | null | catkin_tools/verbs/catkin_build/cli.py | betwo/catkin_tools | b7cac345be0fd0f6efafafda25f3e3660d69c9d1 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Open Source Robotics Foundation, Inc.
#
# 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... | 44.170115 | 118 | 0.691475 |
7973ba51a0d0c9f93604e6793dc0918600f0e830 | 137 | py | Python | python/helpers/tests/generator3_tests/data/FileSystemUtil/copy_skeleton_origin_stamp_updated/src/foo/bar/baz.py | tgodzik/intellij-community | f5ef4191fc30b69db945633951fb160c1cfb7b6f | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/helpers/tests/generator3_tests/data/FileSystemUtil/copy_skeleton_origin_stamp_updated/src/foo/bar/baz.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2022-02-19T09:45:05.000Z | 2022-02-27T20:32:55.000Z | python/helpers/tests/generator3_tests/data/FileSystemUtil/copy_skeleton_origin_stamp_updated/src/foo/bar/baz.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | # encoding: utf-8
# module baz
# from old/binary/foo/bar/baz.so
# by generator 1000.0
# no doc
# no imports
# no functions
# no classes
| 13.7 | 32 | 0.693431 |
7973ba728d032ed9eb6d41d796ae4be0d77855e5 | 2,126 | py | Python | src/oci/nosql/models/work_request_collection.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/nosql/models/work_request_collection.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/nosql/models/work_request_collection.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 29.943662 | 245 | 0.661336 |
7973baef6195d5e8864179b28b4fc35e210e6b00 | 553 | py | Python | example/TestModule/run.py | 4USE/davloshara | 7e88b344b2b3ab8a2ff82a6aa84a7058fb0d6624 | [
"MIT"
] | null | null | null | example/TestModule/run.py | 4USE/davloshara | 7e88b344b2b3ab8a2ff82a6aa84a7058fb0d6624 | [
"MIT"
] | null | null | null | example/TestModule/run.py | 4USE/davloshara | 7e88b344b2b3ab8a2ff82a6aa84a7058fb0d6624 | [
"MIT"
] | null | null | null | from vk_api.longpoll import Event, VkEventType
from configs import store
from utils import Base
class Main(Base):
__flags__ = {
VkEventType.MESSAGE_NEW: True,
VkEventType.MESSAGE_FLAGS_SET: False,
VkEventType.MESSAGE_EDIT: False
}
def __init__(self, event: Event):
self.di... | 20.481481 | 58 | 0.650995 |
7973baef95b16523701b793171fc3e7619d2976c | 7,586 | py | Python | mnist/mnist_relabel_active.py | cyber-meow/Noisy_active_query | 309c41f45c53311c32e2eeec9b179807237abce1 | [
"MIT"
] | 2 | 2018-12-17T06:46:33.000Z | 2019-05-09T06:45:30.000Z | mnist/mnist_relabel_active.py | cyber-meow/Noisy_active_query | 309c41f45c53311c32e2eeec9b179807237abce1 | [
"MIT"
] | null | null | null | mnist/mnist_relabel_active.py | cyber-meow/Noisy_active_query | 309c41f45c53311c32e2eeec9b179807237abce1 | [
"MIT"
] | 1 | 2019-02-27T13:39:16.000Z | 2019-02-27T13:39:16.000Z | import torch
import torch.utils.data as data
import torchvision
import torchvision.transforms as transforms
import argparse
# import matplotlib.pyplot as plt
import numpy as np
from copy import deepcopy
from collections import OrderedDict
import dataset
import settings
from active_query import RandomQuery, Disagreeme... | 30.223108 | 75 | 0.674005 |
7973bb40e93d70df58f4d16a5a16380e2ff1a061 | 582 | py | Python | sites/us/apps/checkout/forms.py | gabalese/django-oscar | 9a043dbbba976d08c9c874dae962563a19875ef1 | [
"BSD-3-Clause"
] | 2 | 2015-12-11T00:19:15.000Z | 2021-11-14T19:44:42.000Z | sites/us/apps/checkout/forms.py | gabalese/django-oscar | 9a043dbbba976d08c9c874dae962563a19875ef1 | [
"BSD-3-Clause"
] | 1 | 2021-12-13T20:48:46.000Z | 2021-12-13T20:48:46.000Z | sites/us/apps/checkout/forms.py | gabalese/django-oscar | 9a043dbbba976d08c9c874dae962563a19875ef1 | [
"BSD-3-Clause"
] | 2 | 2018-12-27T09:42:38.000Z | 2018-12-27T10:21:07.000Z | from django.utils.translation import ugettext_lazy as _
from localflavor.us import forms as us_forms
from oscar.apps.checkout import forms as checkout_forms
class ShippingAddressForm(checkout_forms.ShippingAddressForm):
state = us_forms.USStateField(label="State", widget=us_forms.USStateSelect)
def __init__... | 38.8 | 79 | 0.731959 |
7973bd1a882e9d4b9877284a7b46ddc70f0c6bf3 | 1,483 | py | Python | tests/test_ogcapi_features_pygeoapi.py | vjf/OWSLib | 9a3768c3cae21cb9a30dc4437259dfaa8dde1118 | [
"BSD-3-Clause"
] | null | null | null | tests/test_ogcapi_features_pygeoapi.py | vjf/OWSLib | 9a3768c3cae21cb9a30dc4437259dfaa8dde1118 | [
"BSD-3-Clause"
] | null | null | null | tests/test_ogcapi_features_pygeoapi.py | vjf/OWSLib | 9a3768c3cae21cb9a30dc4437259dfaa8dde1118 | [
"BSD-3-Clause"
] | null | null | null | from tests.utils import service_ok
import pytest
from owslib.ogcapi.features import Features
SERVICE_URL = 'https://demo.pygeoapi.io/master'
@pytest.mark.online
@pytest.mark.skipif(not service_ok(SERVICE_URL),
reason='service is unreachable')
def test_ogcapi_features_pygeoapi():
w = Feature... | 29.66 | 71 | 0.687795 |
7973bdf9d5311c691260306c8bfa28840ce4b13f | 592 | py | Python | zorg_emic/adaptors.py | zorg-framework/zorg-emic | 34d49897131cf7773b2b0f46e1e0a796911144e3 | [
"MIT"
] | 3 | 2016-03-25T15:40:11.000Z | 2017-04-22T03:05:16.000Z | zorg_emic/adaptors.py | zorg-framework/zorg-emic | 34d49897131cf7773b2b0f46e1e0a796911144e3 | [
"MIT"
] | null | null | null | zorg_emic/adaptors.py | zorg-framework/zorg-emic | 34d49897131cf7773b2b0f46e1e0a796911144e3 | [
"MIT"
] | null | null | null | from zorg.adaptor import Adaptor
import serial
class Serial(Adaptor):
def __init__(self, options):
super(Serial, self).__init__(options)
self.port = options.get("port", "/dev/ttyAMA0")
self.baudrate = options.get("baudrate", 9600)
self.serial = serial.Serial(self.port, baudrate=s... | 22.769231 | 70 | 0.640203 |
7973beda9d55d8f99869fc7b3c0e481cf3cc9748 | 3,231 | py | Python | paas-ce/paas/esb/components/bk/apisv2/cc/get_host_base_info.py | canway-bk/bk-PaaS | 7a6fe1ef38a7e4e2bd11a6c2efa871a967ac2a3c | [
"Apache-2.0"
] | 767 | 2019-03-25T06:35:43.000Z | 2022-03-30T08:57:51.000Z | paas-ce/paas/esb/components/bk/apisv2/cc/get_host_base_info.py | canway-bk/bk-PaaS | 7a6fe1ef38a7e4e2bd11a6c2efa871a967ac2a3c | [
"Apache-2.0"
] | 194 | 2019-03-29T07:16:41.000Z | 2022-03-30T06:17:49.000Z | paas-ce/paas/esb/components/bk/apisv2/cc/get_host_base_info.py | canway-bk/bk-PaaS | 7a6fe1ef38a7e4e2bd11a6c2efa871a967ac2a3c | [
"Apache-2.0"
] | 381 | 2019-03-25T07:19:54.000Z | 2022-03-29T03:22:42.000Z | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available.
Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... | 31.368932 | 305 | 0.544104 |
7973bf050cc69bdb6bfa297dcb994bd3ca6b20b8 | 2,877 | py | Python | Chains.py | htetmyet/keyword-extraction | e9b34bd035cdc4576eb9c7b1101a1a9dfb2a003b | [
"MIT"
] | 4 | 2016-12-25T14:49:31.000Z | 2020-03-25T04:31:40.000Z | Chains.py | htetmyet/keyword-extraction | e9b34bd035cdc4576eb9c7b1101a1a9dfb2a003b | [
"MIT"
] | 1 | 2018-12-19T02:51:21.000Z | 2018-12-19T02:51:21.000Z | Chains.py | htetmyet/keyword-extraction | e9b34bd035cdc4576eb9c7b1101a1a9dfb2a003b | [
"MIT"
] | null | null | null | import nltk
from nltk.corpus import wordnet as wn
from nltk.corpus import wordnet_ic
threshold = 0.6 #treshold for wup
jcnTreshold = 0.09 #jcn
pathTeshold = 0.1 #path
brown_ic = wordnet_ic.ic('ic-brown.dat') #load the brown corpus
lexical_chains = [] #empty list to hold all the chains
dictionary = {} #empty dictionar... | 32.693182 | 112 | 0.57838 |
7973bf8779e04274dfef2bcab0183e9c4a51514a | 3,057 | py | Python | wikitablestosql/multistreamfilehandling.py | eddyydde/wikitablestosql | 4d5aaa2bf0495a1dbf033e7c512a143a67a2c0fd | [
"MIT"
] | null | null | null | wikitablestosql/multistreamfilehandling.py | eddyydde/wikitablestosql | 4d5aaa2bf0495a1dbf033e7c512a143a67a2c0fd | [
"MIT"
] | null | null | null | wikitablestosql/multistreamfilehandling.py | eddyydde/wikitablestosql | 4d5aaa2bf0495a1dbf033e7c512a143a67a2c0fd | [
"MIT"
] | 1 | 2021-02-04T13:21:27.000Z | 2021-02-04T13:21:27.000Z |
import os
import csv
import bz2
def prepare_parts_using_index(data_directory, file, index, done=0):
"""
Prepare parts by cutting multistream file according to index.
Prepare decompression directory.
:param data_directory: path as string
:param file: filename as string
:param ind... | 40.223684 | 109 | 0.649657 |
7973bfd6b0a80e8f8eb1bcc0cc8826ab25274ec2 | 3,794 | py | Python | lib/spack/spack/util/log_parse.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2019-02-10T13:47:48.000Z | 2019-04-17T13:05:17.000Z | lib/spack/spack/util/log_parse.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 17 | 2019-03-21T15:54:00.000Z | 2022-03-29T19:34:28.000Z | lib/spack/spack/util/log_parse.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2021-04-07T18:27:09.000Z | 2022-03-31T22:52:38.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from __future__ import print_function
import sys
from six import StringIO
from ctest_log_parser import CTestLogParser, B... | 31.098361 | 73 | 0.636795 |
7973c0027652b328700f0787881e49c4b0cee092 | 3,509 | py | Python | bindings/python/ensmallen/datasets/string/grosmanniaclavigerakw1407.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 5 | 2021-02-17T00:44:45.000Z | 2021-08-09T16:41:47.000Z | bindings/python/ensmallen/datasets/string/grosmanniaclavigerakw1407.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 18 | 2021-01-07T16:47:39.000Z | 2021-08-12T21:51:32.000Z | bindings/python/ensmallen/datasets/string/grosmanniaclavigerakw1407.py | AnacletoLAB/ensmallen | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 3 | 2021-01-14T02:20:59.000Z | 2021-08-04T19:09:52.000Z | """
This file offers the methods to automatically retrieve the graph Grosmannia clavigera kw1407.
The graph is automatically retrieved from the STRING repository.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
title={STRING v11: protein--pr... | 33.419048 | 223 | 0.680251 |
7973c0a1e9d76ea88fa29f3495411987b63ef1fc | 15,130 | py | Python | tests/test_pipeline.py | NCRAR/psiaudio | fdb7629238ef7de62a511b5ab17458d46767db69 | [
"MIT"
] | null | null | null | tests/test_pipeline.py | NCRAR/psiaudio | fdb7629238ef7de62a511b5ab17458d46767db69 | [
"MIT"
] | null | null | null | tests/test_pipeline.py | NCRAR/psiaudio | fdb7629238ef7de62a511b5ab17458d46767db69 | [
"MIT"
] | null | null | null | import pytest
from collections import deque
from functools import partial
import numpy as np
from scipy import signal
from psiaudio import pipeline
from psiaudio.pipeline import normalize_index
from psiaudio import util
@pytest.fixture
def data1d(fs):
md = {'foo': 'bar'}
data = np.random.uniform(size=10000... | 31.65272 | 109 | 0.609451 |
7973c1341f39a17007468ceaf232ac932f23bd71 | 7,958 | py | Python | MIDI/MIDI_Conversion.py | hmattinson/ExcelMusic | 400bdc2f51a3b211f8d9d60ddb227654596a53c9 | [
"MIT"
] | null | null | null | MIDI/MIDI_Conversion.py | hmattinson/ExcelMusic | 400bdc2f51a3b211f8d9d60ddb227654596a53c9 | [
"MIT"
] | null | null | null | MIDI/MIDI_Conversion.py | hmattinson/ExcelMusic | 400bdc2f51a3b211f8d9d60ddb227654596a53c9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # MIDI to CSV Converter
# In[657]:
import mido
import csv
import os
# In[178]:
def cprint(s,b):
if b:
print(s)
# In[273]:
def get_active_notes(mid):
active_notes = {}
tracks = mid.tracks
num_tracks = len(tracks)
all_notes = num_tracks * [No... | 32.481633 | 131 | 0.563709 |
7973c1e1dd49152efb26060acaa66d5a783fb964 | 12,655 | py | Python | templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_{{cookiecutter.lowercase_modelname}}.py | JadeMaveric/transformers | fb2b89840bf2ab9f74702bf83af8ddf92b61efb3 | [
"Apache-2.0"
] | 34 | 2021-07-05T02:44:31.000Z | 2022-03-28T14:39:57.000Z | templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_{{cookiecutter.lowercase_modelname}}.py | JadeMaveric/transformers | fb2b89840bf2ab9f74702bf83af8ddf92b61efb3 | [
"Apache-2.0"
] | 3 | 2021-07-22T15:49:44.000Z | 2022-03-19T08:46:27.000Z | templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_{{cookiecutter.lowercase_modelname}}.py | JadeMaveric/transformers | fb2b89840bf2ab9f74702bf83af8ddf92b61efb3 | [
"Apache-2.0"
] | 6 | 2021-07-05T02:44:32.000Z | 2022-02-14T10:10:13.000Z | # coding=utf-8
# Copyright {{cookiecutter.authors}} and The HuggingFace Inc. team. 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/... | 37.330383 | 145 | 0.659028 |
7973c281b45641823380dbd673f650a4f196571f | 35,939 | py | Python | fhirclient/models/nutritionorder_tests.py | NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units | fb5ad260fb8d264d85aea9e6c895d1700eea4d11 | [
"Apache-2.0"
] | 2 | 2019-05-16T16:41:22.000Z | 2021-04-22T22:06:49.000Z | fhirclient/models/nutritionorder_tests.py | NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units | fb5ad260fb8d264d85aea9e6c895d1700eea4d11 | [
"Apache-2.0"
] | null | null | null | fhirclient/models/nutritionorder_tests.py | NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units | fb5ad260fb8d264d85aea9e6c895d1700eea4d11 | [
"Apache-2.0"
] | 3 | 2019-03-26T01:39:18.000Z | 2020-02-02T19:06:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 1.0.2.7202 on 2016-06-23.
# 2016, SMART Health IT.
import os
import io
import unittest
import json
from . import nutritionorder
from .fhirdate import FHIRDate
class NutritionOrderTests(unittest.TestCase):
def instantiate_from(self, filename... | 72.60404 | 170 | 0.718161 |
7973c2a4c707ba2badc6c3d03ba6772511311d8b | 1,556 | py | Python | pysnobal/core/snow.py | scotthavens/pysnobal | 9cff1e6cb2f1da4240132af4e1d2f5740092d2ef | [
"CC0-1.0"
] | 1 | 2022-01-26T16:47:44.000Z | 2022-01-26T16:47:44.000Z | pysnobal/core/snow.py | scotthavens/pysnobal | 9cff1e6cb2f1da4240132af4e1d2f5740092d2ef | [
"CC0-1.0"
] | null | null | null | pysnobal/core/snow.py | scotthavens/pysnobal | 9cff1e6cb2f1da4240132af4e1d2f5740092d2ef | [
"CC0-1.0"
] | 1 | 2022-02-08T22:31:27.000Z | 2022-02-08T22:31:27.000Z | from pysnobal.core.constants import RHO_ICE, RHO_W0, FREEZE
from pysnobal.core.functions import lh_fus, cp_ice
def h2o_left(d, rhos, sat):
"""water retained by snow at given saturation (see SNO_SAT)
Args:
d (float or array): total depth of snow [m]
rhos (float or array): density of snow [kg/m... | 23.938462 | 74 | 0.612468 |
7973c5b216d4b5fb8f217472b103ab41bf7c8309 | 620 | py | Python | terra/pytorch.py | seyuboglu/terra | 7d5f8d8cdfbf819b52fb997b5b9746746d86b295 | [
"Apache-2.0"
] | 1 | 2022-03-15T00:13:58.000Z | 2022-03-15T00:13:58.000Z | terra/pytorch.py | seyuboglu/terra | 7d5f8d8cdfbf819b52fb997b5b9746746d86b295 | [
"Apache-2.0"
] | 2 | 2021-09-16T05:00:30.000Z | 2021-11-19T21:37:09.000Z | terra/pytorch.py | seyuboglu/terra | 7d5f8d8cdfbf819b52fb997b5b9746746d86b295 | [
"Apache-2.0"
] | null | null | null | import torch
from terra.io import reader, writer
@writer(torch.Tensor)
def write_tensor(out, path):
torch.save(out, path)
return path
@reader(torch.Tensor)
def read_tensor(path):
return torch.load(path)
class TerraModule:
def __terra_write__(self, path):
torch.save({"state_dict": self.sta... | 22.142857 | 82 | 0.664516 |
7973c5fd7367dec168768a9bdee72bb50d70ea54 | 681 | py | Python | .history/award/models_20201129151550.py | Nyash-Mauro/awwards | aa8200a4d2a26a9d022f0ebda280379c1b3761c3 | [
"MIT"
] | null | null | null | .history/award/models_20201129151550.py | Nyash-Mauro/awwards | aa8200a4d2a26a9d022f0ebda280379c1b3761c3 | [
"MIT"
] | null | null | null | .history/award/models_20201129151550.py | Nyash-Mauro/awwards | aa8200a4d2a26a9d022f0ebda280379c1b3761c3 | [
"MIT"
] | null | null | null | from django.db import models
import datetime as dt
from django.contrib.auth.models import User
from tinymce.models import HTMLField
from django.db.models.signals import post_save
from django.dispatch import receiver
from cloudinary.models import CloudinaryField
class Profile(models.Model):
First_Name = models.Ch... | 42.5625 | 143 | 0.781204 |
7973c6803da79b11843302ba2b6bf046ee80cb43 | 282 | py | Python | PCA.py | Globe-Eater/Cali_Housing | c4340ce86f13c8c4f50423c574d5ab857869400d | [
"MIT"
] | null | null | null | PCA.py | Globe-Eater/Cali_Housing | c4340ce86f13c8c4f50423c574d5ab857869400d | [
"MIT"
] | null | null | null | PCA.py | Globe-Eater/Cali_Housing | c4340ce86f13c8c4f50423c574d5ab857869400d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 16 13:32:05 2020
@author: kellenbullock
"""
import pandas as pd
from statsmodels.multivariate.pca import PCA
df = pd.read_excel('Final.xlsx')
df = df.drop(columns=['Unnamed: 0'])
c = PCA(df, standardize=False) | 20.142857 | 44 | 0.691489 |
7973c6b9166481543e7f33590a445c1b69649270 | 3,908 | py | Python | benchmarks/benchmark.py | Pseudomanifold/POT | 5861209f27fe8e022eca2ed2c8d0bb1da4a1146b | [
"MIT"
] | 830 | 2020-04-21T03:45:02.000Z | 2022-03-31T18:27:08.000Z | benchmarks/benchmark.py | Pseudomanifold/POT | 5861209f27fe8e022eca2ed2c8d0bb1da4a1146b | [
"MIT"
] | 192 | 2020-04-17T10:15:37.000Z | 2022-03-24T10:00:57.000Z | benchmarks/benchmark.py | Pseudomanifold/POT | 5861209f27fe8e022eca2ed2c8d0bb1da4a1146b | [
"MIT"
] | 402 | 2020-04-17T18:24:00.000Z | 2022-03-29T18:26:33.000Z | # /usr/bin/env python3
# -*- coding: utf-8 -*-
from ot.backend import get_backend_list, jax, tf
import gc
def setup_backends():
if jax:
from jax.config import config
config.update("jax_enable_x64", True)
if tf:
from tensorflow.python.ops.numpy_ops import np_config
np_config.e... | 36.867925 | 92 | 0.582139 |
7973c6f0aa938b9358a2418ce42728385fbb1019 | 1,243 | py | Python | server/urls.py | IamEinstein/django-bank | 16f98755787e18ecd9dee6783b0af26ca200446f | [
"MIT"
] | 1 | 2021-04-22T17:20:44.000Z | 2021-04-22T17:20:44.000Z | server/urls.py | IamEinstein/django-bank | 16f98755787e18ecd9dee6783b0af26ca200446f | [
"MIT"
] | 27 | 2021-06-10T20:43:59.000Z | 2022-03-28T11:41:30.000Z | server/urls.py | IamEinstein/djank | 16f98755787e18ecd9dee6783b0af26ca200446f | [
"MIT"
] | null | null | null | from django.urls import path
from .views import *
app_name = "main"
urlpatterns = [
path('index', IndexView.as_view(), name="index"),
path('login', LoginView.as_view(), name="login"),
path('signed_up', SignedUpView.as_view(), name="signed_up"),
path('logged_in', LoggedInView.as_view(), name="logged_in"... | 46.037037 | 78 | 0.679002 |
7973c6fd9ff9e0909a88f78ff93a9ea354a897eb | 1,095 | py | Python | borrow/migrations/0001_initial.py | Time-xg/bookmanager_django | 3d8f2e9b38570e0e4ea5498f6ab4fe16b7d2f969 | [
"MIT"
] | null | null | null | borrow/migrations/0001_initial.py | Time-xg/bookmanager_django | 3d8f2e9b38570e0e4ea5498f6ab4fe16b7d2f969 | [
"MIT"
] | null | null | null | borrow/migrations/0001_initial.py | Time-xg/bookmanager_django | 3d8f2e9b38570e0e4ea5498f6ab4fe16b7d2f969 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.3 on 2021-01-02 21:32
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('book', '0001_initial'),
('user', '0001_initial'),
]
operations = [
migrations.C... | 35.322581 | 133 | 0.592694 |
7973c77177a2194c8fc8ba4344cddde829aa3274 | 1,488 | py | Python | stacks/stack_test.py | jrandson/data-structures | 851af09027f9086f81e1d60dbd6c795b50b4a654 | [
"BSD-2-Clause"
] | null | null | null | stacks/stack_test.py | jrandson/data-structures | 851af09027f9086f81e1d60dbd6c795b50b4a654 | [
"BSD-2-Clause"
] | null | null | null | stacks/stack_test.py | jrandson/data-structures | 851af09027f9086f81e1d60dbd6c795b50b4a654 | [
"BSD-2-Clause"
] | null | null | null |
'''
assert: base assert allowing you to write your own assertions
assertEqual(a, b): check a and b are equal
assertNotEqual(a, b): check a and b are not equal
assertIn(a, b): check that a is in the item b
assertNotIn(a, b): check that a is not in the item b
assertFalse(a): check that the value of a is False
assertTrue... | 23.25 | 61 | 0.702285 |
7973c8af48ad90f1e9ca026a769751ccb3e48093 | 8,313 | py | Python | part_seg/evaluate.py | warlock8hz/pointnet2 | 7e456909379c6d19946bf49b3f54346ec96e0fe5 | [
"MIT"
] | null | null | null | part_seg/evaluate.py | warlock8hz/pointnet2 | 7e456909379c6d19946bf49b3f54346ec96e0fe5 | [
"MIT"
] | null | null | null | part_seg/evaluate.py | warlock8hz/pointnet2 | 7e456909379c6d19946bf49b3f54346ec96e0fe5 | [
"MIT"
] | null | null | null | import argparse
import math
from datetime import datetime
import h5py
import numpy as np
#import tensorflow as tf
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import socket
import importlib
import os
import sys
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
ROOT_DIR = os.path.dirname(BASE_DIR)
sys.... | 41.773869 | 127 | 0.642006 |
7973c8d3e5c6e7a540a1f7f89e45b85dfdaf14ed | 104 | py | Python | extern/python-tcp-example/proto/__init__.py | narodnik/nym-mixnet | fc13c6e6f2f052ba0ffe0b1e74c988a91d176335 | [
"Apache-2.0"
] | 1 | 2021-11-04T21:37:55.000Z | 2021-11-04T21:37:55.000Z | extern/python-tcp-example/proto/__init__.py | narodnik/nym-mixnet | fc13c6e6f2f052ba0ffe0b1e74c988a91d176335 | [
"Apache-2.0"
] | null | null | null | extern/python-tcp-example/proto/__init__.py | narodnik/nym-mixnet | fc13c6e6f2f052ba0ffe0b1e74c988a91d176335 | [
"Apache-2.0"
] | null | null | null | import proto.structs_pb2 as config
import proto.types_pb2 as types
import proto.message_pb2 as message
| 20.8 | 35 | 0.846154 |
7973ca2bef43ae10e4a2440da1c00190d02cf308 | 519 | py | Python | datasets/dataset_utils.py | Grinjero/HandGestureClassification | 141a30357e49f028f5808c22cd9f03a1361b1206 | [
"MIT"
] | null | null | null | datasets/dataset_utils.py | Grinjero/HandGestureClassification | 141a30357e49f028f5808c22cd9f03a1361b1206 | [
"MIT"
] | null | null | null | datasets/dataset_utils.py | Grinjero/HandGestureClassification | 141a30357e49f028f5808c22cd9f03a1361b1206 | [
"MIT"
] | null | null | null | import os
def get_class_labels(categories_path):
assert os.path.exists(categories_path)
id_class_label_map = dict()
ids = []
labels = []
with open(categories_path, 'r') as fd:
for row in fd:
row = row.rstrip()
idx, label = row.split(' ')
idx = int(idx)
... | 24.714286 | 55 | 0.574181 |
7973ca5b0da019fae76ae45c999a7e229fb73f2d | 895 | py | Python | python/tvm/tir/usmp/transform/_ffi_api.py | XiaoSong9905/tvm | 48940f697e15d5b50fa1f032003e6c700ae1e423 | [
"Apache-2.0"
] | 4,640 | 2017-08-17T19:22:15.000Z | 2019-11-04T15:29:46.000Z | python/tvm/tir/usmp/transform/_ffi_api.py | XiaoSong9905/tvm | 48940f697e15d5b50fa1f032003e6c700ae1e423 | [
"Apache-2.0"
] | 3,022 | 2020-11-24T14:02:31.000Z | 2022-03-31T23:55:31.000Z | python/tvm/tir/usmp/transform/_ffi_api.py | XiaoSong9905/tvm | 48940f697e15d5b50fa1f032003e6c700ae1e423 | [
"Apache-2.0"
] | 1,352 | 2017-08-17T19:30:38.000Z | 2019-11-04T16:09:29.000Z | # 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
# "License"); you may not u... | 40.681818 | 62 | 0.768715 |
7973cb0a09cb401a01a173f07d0aff863e3ab09f | 3,994 | py | Python | snuba/request/schema.py | Appva/snuba | 988a4312fc9c107bc735fb2295e269b01ef2dea4 | [
"Apache-2.0"
] | null | null | null | snuba/request/schema.py | Appva/snuba | 988a4312fc9c107bc735fb2295e269b01ef2dea4 | [
"Apache-2.0"
] | null | null | null | snuba/request/schema.py | Appva/snuba | 988a4312fc9c107bc735fb2295e269b01ef2dea4 | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
import itertools
from typing import Any, Mapping
from snuba.datasets.schemas import RelationalSource
from snuba.query.extensions import QueryExtension
from snuba.query.query import Query
from snuba.query.schema import GENERIC_QUERY_SCHEMA, SETTINGS_SCHEMA
from snuba.request import ... | 43.89011 | 127 | 0.676515 |
7973cbfaf415e3aa84a17ebb9e768979370c219a | 1,753 | py | Python | app/core/migrations/0003_auto_20210418_2049.py | EugenDaniel/recipe-app-api | 7eea36ab76437ab58bdf06604612fd4abb95d2df | [
"MIT"
] | null | null | null | app/core/migrations/0003_auto_20210418_2049.py | EugenDaniel/recipe-app-api | 7eea36ab76437ab58bdf06604612fd4abb95d2df | [
"MIT"
] | null | null | null | app/core/migrations/0003_auto_20210418_2049.py | EugenDaniel/recipe-app-api | 7eea36ab76437ab58bdf06604612fd4abb95d2df | [
"MIT"
] | null | null | null | # Generated by Django 2.1.15 on 2021-04-18 20:49
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0002_auto_20210329_1352'),
]
operations = [
migrations.CreateMode... | 31.303571 | 68 | 0.520821 |
7973cc3bdaf13e8eb145aa26a3c0b8b68c2e41e4 | 167 | py | Python | portaljob/portaljob_activity/apps.py | mixdevdev/project_portal | ee639590a9e5bcf3bd6b058b5ba72c242f2ba667 | [
"MIT"
] | null | null | null | portaljob/portaljob_activity/apps.py | mixdevdev/project_portal | ee639590a9e5bcf3bd6b058b5ba72c242f2ba667 | [
"MIT"
] | null | null | null | portaljob/portaljob_activity/apps.py | mixdevdev/project_portal | ee639590a9e5bcf3bd6b058b5ba72c242f2ba667 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class PortaljobActivityConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'portaljob_activity'
| 23.857143 | 56 | 0.790419 |
7973cd33a2edabdc5501a86da0d4cc03498f015e | 8,069 | py | Python | Lidar code/intensity_lidar_0.2.py | tstaffas/Lidar | cd381826b6b45dd2a36aecb35617196b78ab32e8 | [
"MIT"
] | null | null | null | Lidar code/intensity_lidar_0.2.py | tstaffas/Lidar | cd381826b6b45dd2a36aecb35617196b78ab32e8 | [
"MIT"
] | null | null | null | Lidar code/intensity_lidar_0.2.py | tstaffas/Lidar | cd381826b6b45dd2a36aecb35617196b78ab32e8 | [
"MIT"
] | null | null | null | #------IMPORTS-----
#Packages for ETA backend
import json
import etabackend.eta #Available at: https://github.com/timetag/ETA, https://eta.readthedocs.io/en/latest/
import etabackend.tk as etatk
#Packages used for analysis
import numpy as np
from pathlib import Path
import os
import time as t
import LIDAR... | 44.827778 | 216 | 0.632792 |
7973cd4a5e01a89901199d54703f38b45ed275a2 | 1,630 | py | Python | discord/__init__.py | indrajithbandara/discord.py | c6719fbf2eb99f84f4a5a107fc71e4427ac09882 | [
"MIT"
] | 1 | 2019-04-15T13:18:56.000Z | 2019-04-15T13:18:56.000Z | discord/__init__.py | indrajithbandara/discord.py | c6719fbf2eb99f84f4a5a107fc71e4427ac09882 | [
"MIT"
] | null | null | null | discord/__init__.py | indrajithbandara/discord.py | c6719fbf2eb99f84f4a5a107fc71e4427ac09882 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Discord API Wrapper
~~~~~~~~~~~~~~~~~~~
A basic wrapper for the Discord API.
:copyright: (c) 2015-2017 Rapptz
:license: MIT, see LICENSE for more details.
"""
__title__ = 'discord'
__author__ = 'Rapptz'
__license__ = 'MIT'
__copyright__ = 'Copyright 2015-2017 Rapptz'
__version__ = '1.0.... | 26.290323 | 85 | 0.763804 |
7973cf4c88a65d6705826cb767979b36ba38041c | 22,584 | py | Python | strutil/test/test_strutil.py | baishancloud/dkit | 63f354886f8dd5059d557719be12c963952aa3d0 | [
"MIT"
] | 13 | 2016-12-16T09:23:09.000Z | 2018-03-10T08:04:00.000Z | strutil/test/test_strutil.py | npc9001/pykit | 63f354886f8dd5059d557719be12c963952aa3d0 | [
"MIT"
] | 74 | 2017-03-23T11:36:22.000Z | 2018-04-02T06:19:09.000Z | strutil/test/test_strutil.py | drmingdrmer/pykit | e25a71146e81aaf79625cf8d4f4c439ccd515b82 | [
"MIT"
] | 5 | 2016-12-27T07:30:47.000Z | 2018-03-10T07:06:21.000Z | #!/usr/bin/env python2
# coding: utf-8
import os
import unittest
from pykit import proc
from pykit import strutil
from pykit import ututil
dd = ututil.dd
this_base = os.path.dirname(__file__)
print this_base
def dd_lines(lines):
dd()
for l in lines:
dd(l)
class TestStrutil(unittest.TestCase):
... | 34.114804 | 129 | 0.306677 |
7973cfb85821cd189ecc3b2fe242504dd8959cba | 6,524 | py | Python | pwm_calibrate/__init__.py | sbma44/pwm_calibrate | d4955afd7ad0fb1783b5affce88e207988864051 | [
"MIT"
] | 1 | 2016-04-15T02:18:29.000Z | 2016-04-15T02:18:29.000Z | pwm_calibrate/__init__.py | sbma44/pwm_calibrate | d4955afd7ad0fb1783b5affce88e207988864051 | [
"MIT"
] | null | null | null | pwm_calibrate/__init__.py | sbma44/pwm_calibrate | d4955afd7ad0fb1783b5affce88e207988864051 | [
"MIT"
] | null | null | null | import time
import json
import curses
import datetime
SOFTPWM_SUPPORT = True
try:
import wiringpi2 as wiringpi
except:
SOFTPWM_SUPPORT = False
import wiringpi as wiringpi
PWM_MAX = 1023
SOFT_PWM_MAX = 100
DEFAULT_PIN = 1
WIRINGPI_PWM_PIN = 1 # only pin 1 can handle hardware PWM
DEFAULT_CALIBRA... | 36.244444 | 157 | 0.590282 |
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