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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a389bd7328bfeb9809c940787f3815d94a0c7bd6 | 2,783 | py | Python | commands.py | abcxyz618/MovieGeek | 06029ed4202c63d3da4e306eb5d500ab81f2e1cb | [
"MIT"
] | null | null | null | commands.py | abcxyz618/MovieGeek | 06029ed4202c63d3da4e306eb5d500ab81f2e1cb | [
"MIT"
] | null | null | null | commands.py | abcxyz618/MovieGeek | 06029ed4202c63d3da4e306eb5d500ab81f2e1cb | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
from omdb_api import *
from tmdb_api import *
| 36.618421 | 102 | 0.594682 |
a38a03f634375d52713a25701814579ff7b6e33e | 92,070 | py | Python | cryptoapis/api/unified_endpoints_api.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | 5 | 2021-05-17T04:45:03.000Z | 2022-03-23T12:51:46.000Z | cryptoapis/api/unified_endpoints_api.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | null | null | null | cryptoapis/api/unified_endpoints_api.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | 2 | 2021-06-02T07:32:26.000Z | 2022-02-12T02:36:23.000Z | """
CryptoAPIs
Crypto APIs 2.0 is a complex and innovative infrastructure layer that radically simplifies the development of any Blockchain and Crypto related applications. Organized around REST, Crypto APIs 2.0 can assist both novice Bitcoin/Ethereum enthusiasts and crypto experts with the development of thei... | 42.704082 | 484 | 0.514945 |
a38b317b32dcbc6c9dff08940ace5dc60a5e39cd | 1,853 | py | Python | examples/run_ranch_baseline.py | pinjutien/DeepExplain | a80d85dcd5adc90968b6924a7ef39528170830f0 | [
"MIT"
] | null | null | null | examples/run_ranch_baseline.py | pinjutien/DeepExplain | a80d85dcd5adc90968b6924a7ef39528170830f0 | [
"MIT"
] | null | null | null | examples/run_ranch_baseline.py | pinjutien/DeepExplain | a80d85dcd5adc90968b6924a7ef39528170830f0 | [
"MIT"
] | null | null | null | """
RANdom CHoice baseline (RANCH): random image from the target class
"""
import random
import numpy as np
import tensorflow_datasets as tfds
from tqdm import tqdm
# output_pattern = '/home/ec2-user/gan_submission_1/mnist/mnist_v2/ranch_baselines_%d'
# tfds_name = 'mnist'
# target_size = [28, 28, 1]
# num_class = 1... | 28.953125 | 88 | 0.67674 |
a38b4a3c4607025ed47cb0e6994bcee905fa97f0 | 359 | py | Python | pageOne.py | 3bru/qt-tkinter-Test | 41eefe7621c6a0bf3a25b4503df7a7451fc363b2 | [
"MIT"
] | 1 | 2020-05-18T21:59:39.000Z | 2020-05-18T21:59:39.000Z | pageOne.py | 3bru/qt-tkinter-Test | 41eefe7621c6a0bf3a25b4503df7a7451fc363b2 | [
"MIT"
] | null | null | null | pageOne.py | 3bru/qt-tkinter-Test | 41eefe7621c6a0bf3a25b4503df7a7451fc363b2 | [
"MIT"
] | null | null | null | import sqlite3, os
con = sqlite3.connect('database.sqlite')
im = con.cursor()
tablo = """CREATE TABLE IF NOT EXISTS writes(day, topic, texti)"""
deger = """INSERT INTO writes VALUES('oneDay', 'nmap', 'nmaple ilgili bisiler')"""
im.execute(tablo)
im.execute(deger)
con.commit()
im.execute("""SELECT * FROM writes""")
... | 22.4375 | 82 | 0.696379 |
a38b9d380fbd10ce2b7350457ab818a75b222fac | 6,075 | py | Python | basicsr/metrics/psnr_ssim.py | BCV-Uniandes/RSR | dad60eedd3560f2655e3d1ed444153ed2616af2e | [
"zlib-acknowledgement"
] | 14 | 2021-08-28T04:15:37.000Z | 2021-12-28T17:00:33.000Z | basicsr/metrics/psnr_ssim.py | BCV-Uniandes/RSR | dad60eedd3560f2655e3d1ed444153ed2616af2e | [
"zlib-acknowledgement"
] | 2 | 2021-09-26T01:27:06.000Z | 2021-12-24T19:06:09.000Z | basicsr/metrics/psnr_ssim.py | BCV-Uniandes/RSR | dad60eedd3560f2655e3d1ed444153ed2616af2e | [
"zlib-acknowledgement"
] | 1 | 2021-10-18T15:48:56.000Z | 2021-10-18T15:48:56.000Z | import cv2
import numpy as np
from basicsr.metrics.metric_util import reorder_image, to_y_channel
def calculate_psnr(img1,
img2,
crop_border,
input_order='HWC',
test_y_channel=False):
"""Calculate PSNR (Peak Signal-to-Noise Ratio).
... | 33.379121 | 80 | 0.596708 |
a38ee10bfa692aa23805d2d2b99b5f0481e7ce48 | 14,224 | py | Python | data/dataset.py | limingwu8/Pneumonia-Detection | 8541e0f34a72f6e94773bf234cfd071732229b2b | [
"MIT"
] | 7 | 2019-01-27T02:30:56.000Z | 2020-04-29T18:47:21.000Z | data/dataset.py | limingwu8/Pneumonia-Detection | 8541e0f34a72f6e94773bf234cfd071732229b2b | [
"MIT"
] | 1 | 2020-01-28T04:40:15.000Z | 2020-05-01T02:37:40.000Z | data/dataset.py | limingwu8/Pneumonia-Detection | 8541e0f34a72f6e94773bf234cfd071732229b2b | [
"MIT"
] | 3 | 2019-08-09T09:16:00.000Z | 2021-07-01T11:45:00.000Z | import os
import numpy as np
import torch
from tqdm import tqdm
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms, utils
from skimage import io, transform
from utils.Config import opt
from skimage import exposure
import matplotlib.pylab as plt
from utils import array_tool as at
from sk... | 41.228986 | 113 | 0.646161 |
a38f9c51d087930a15e07db3d41e43fedee278f9 | 8,344 | py | Python | make_dataset/kor_sample_dataset.py | park-sungmoo/odqa_baseline_code | 45954be766e5f987bef18e5b8a2e47f1508742cd | [
"Apache-2.0"
] | 67 | 2021-05-12T15:54:28.000Z | 2022-03-12T15:55:35.000Z | make_dataset/kor_sample_dataset.py | park-sungmoo/odqa_baseline_code | 45954be766e5f987bef18e5b8a2e47f1508742cd | [
"Apache-2.0"
] | 71 | 2021-05-01T06:07:37.000Z | 2022-01-28T16:54:46.000Z | make_dataset/kor_sample_dataset.py | park-sungmoo/odqa_baseline_code | 45954be766e5f987bef18e5b8a2e47f1508742cd | [
"Apache-2.0"
] | 14 | 2021-05-24T10:57:27.000Z | 2022-02-18T06:34:11.000Z | import json
import os.path as p
from collections import defaultdict
import pandas as pd
from datasets import load_dataset
from datasets import concatenate_datasets
from datasets import Sequence, Value, Features, Dataset, DatasetDict
from utils.tools import get_args
f = Features(
{
"answers": Sequence(
... | 28.772414 | 112 | 0.65604 |
a3927c6d9fb19dc907aa3851f9fb6293c833eaf2 | 1,737 | py | Python | tests/test_simple.py | teosavv/pyembroidery | 00985f423e64ea1a454e5484012c19a64f26eb2c | [
"MIT"
] | 45 | 2018-07-08T09:49:30.000Z | 2022-03-23T07:01:15.000Z | tests/test_simple.py | teosavv/pyembroidery | 00985f423e64ea1a454e5484012c19a64f26eb2c | [
"MIT"
] | 59 | 2018-07-05T22:05:58.000Z | 2022-02-20T01:01:20.000Z | tests/test_simple.py | teosavv/pyembroidery | 00985f423e64ea1a454e5484012c19a64f26eb2c | [
"MIT"
] | 23 | 2018-08-10T17:58:04.000Z | 2022-03-29T03:41:46.000Z | import os
import shutil
import pyembroidery
import test_fractals
| 31.581818 | 84 | 0.651698 |
a392dab4e0208bcba731af6d1b6b1dd6d3c0e78a | 21,317 | py | Python | train.py | eapache/HawkEars | 3b979166ed09de9f9254b830bb57499e1da7a015 | [
"MIT"
] | null | null | null | train.py | eapache/HawkEars | 3b979166ed09de9f9254b830bb57499e1da7a015 | [
"MIT"
] | 1 | 2021-12-17T16:56:12.000Z | 2021-12-19T15:53:55.000Z | train.py | eapache/HawkEars | 3b979166ed09de9f9254b830bb57499e1da7a015 | [
"MIT"
] | 1 | 2021-12-17T16:59:04.000Z | 2021-12-17T16:59:04.000Z | # Train the selected neural network model on spectrograms for birds and a few other classes.
# Train the selected neural network model on spectrograms for birds and a few other classes.
# To see command-line arguments, run the script with -h argument.
import argparse
import math
import matplotlib.pyplot as plt
import ... | 47.476615 | 233 | 0.598208 |
a3943fc348baced6fa934c762ac87be734e9ae13 | 2,002 | py | Python | limix/heritability/estimate.py | fpcasale/limix | a6bc2850f243fe779991bb53a24ddbebe0ab74d2 | [
"Apache-2.0"
] | null | null | null | limix/heritability/estimate.py | fpcasale/limix | a6bc2850f243fe779991bb53a24ddbebe0ab74d2 | [
"Apache-2.0"
] | null | null | null | limix/heritability/estimate.py | fpcasale/limix | a6bc2850f243fe779991bb53a24ddbebe0ab74d2 | [
"Apache-2.0"
] | null | null | null | from __future__ import division
from numpy import ascontiguousarray, copy, ones, var
from numpy_sugar.linalg import economic_qs
from glimix_core.glmm import GLMMExpFam
def estimate(pheno, lik, K, covs=None, verbose=True):
r"""Estimate the so-called narrow-sense heritability.
It supports Normal, Bernoulli, ... | 24.414634 | 76 | 0.580919 |
a394632989f95d229e000f46db6a73bbdcda0cf3 | 2,739 | py | Python | pyrat/__main__.py | gitmarek/pyrat | cbf918d5c23d5d39e62e00bb64b6d0596170c68b | [
"MIT"
] | null | null | null | pyrat/__main__.py | gitmarek/pyrat | cbf918d5c23d5d39e62e00bb64b6d0596170c68b | [
"MIT"
] | null | null | null | pyrat/__main__.py | gitmarek/pyrat | cbf918d5c23d5d39e62e00bb64b6d0596170c68b | [
"MIT"
] | null | null | null | import argparse, importlib, sys
import pyrat
from pyrat import name, version, logger
# This returns a function to be called by a subparser below
# We assume in the tool's submodule there's a function called 'start(args)'
# That takes over the execution of the program.
if __name__ == '__main__':
# create the t... | 36.039474 | 78 | 0.683826 |
a394774a260348220f0663c39347cf191a6da686 | 485 | py | Python | zof/event.py | byllyfish/pylibofp | 8e96caf83f57cab930b45a78eb4a8eaa6d9d0408 | [
"MIT"
] | 4 | 2017-09-20T19:10:51.000Z | 2022-01-10T04:02:00.000Z | zof/event.py | byllyfish/pylibofp | 8e96caf83f57cab930b45a78eb4a8eaa6d9d0408 | [
"MIT"
] | 2 | 2017-09-02T22:53:03.000Z | 2018-01-01T03:27:48.000Z | zof/event.py | byllyfish/pylibofp | 8e96caf83f57cab930b45a78eb4a8eaa6d9d0408 | [
"MIT"
] | null | null | null | from .objectview import to_json, from_json
| 26.944444 | 74 | 0.610309 |
a3955ee346d7a3a5338cd528fa6afbec24d5527c | 2,007 | py | Python | python/projecteuler/src/longest_collatz_sequence.py | christopher-burke/warmups | 140c96ada87ec5e9faa4622504ddee18840dce4a | [
"MIT"
] | null | null | null | python/projecteuler/src/longest_collatz_sequence.py | christopher-burke/warmups | 140c96ada87ec5e9faa4622504ddee18840dce4a | [
"MIT"
] | 2 | 2022-03-10T03:49:14.000Z | 2022-03-14T00:49:54.000Z | python/projecteuler/src/longest_collatz_sequence.py | christopher-burke/warmups | 140c96ada87ec5e9faa4622504ddee18840dce4a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Longest Collatz sequence.
The following iterative sequence is defined
for the set of positive integers:
n n/2 (n is even)
n 3n + 1 (n is odd)
Using the rule above and starting with 13,
we generate the following sequence:
13 40 20 10 5 16 8 4 2 1
It can be seen that this seque... | 23.611765 | 71 | 0.659691 |
a396aa841a074ff27cad63b9fc597eb1d7fa8b7c | 1,823 | py | Python | examples/classify_pose.py | scottamain/aiy-maker-kit | 4cdb973067b83d27cf0601c811d887877d1bc253 | [
"Apache-2.0"
] | null | null | null | examples/classify_pose.py | scottamain/aiy-maker-kit | 4cdb973067b83d27cf0601c811d887877d1bc253 | [
"Apache-2.0"
] | null | null | null | examples/classify_pose.py | scottamain/aiy-maker-kit | 4cdb973067b83d27cf0601c811d887877d1bc253 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 35.745098 | 80 | 0.785518 |
a396f80d3df39bc129b954b6343810b69c00e0ea | 291 | py | Python | weldx/tags/measurement/source.py | CagtayFabry/weldx | 463f949d4fa54b5edafa2268cb862716865a62c2 | [
"BSD-3-Clause"
] | 13 | 2020-02-20T07:45:02.000Z | 2021-12-10T13:15:47.000Z | weldx/tags/measurement/source.py | BAMWelDX/weldx | ada4e67fa00cdb80a0b954057f4e685b846c9fe5 | [
"BSD-3-Clause"
] | 675 | 2020-02-20T07:47:00.000Z | 2022-03-31T15:17:19.000Z | weldx/tags/measurement/source.py | CagtayFabry/weldx | 463f949d4fa54b5edafa2268cb862716865a62c2 | [
"BSD-3-Clause"
] | 5 | 2020-09-02T07:19:17.000Z | 2021-12-05T08:57:50.000Z | from weldx.asdf.util import dataclass_serialization_class
from weldx.measurement import SignalSource
__all__ = ["SignalSource", "SignalSourceConverter"]
SignalSourceConverter = dataclass_serialization_class(
class_type=SignalSource, class_name="measurement/source", version="0.1.0"
)
| 29.1 | 77 | 0.821306 |
a39715724a34e51cf7b15a4f030411898b87a5ec | 1,706 | py | Python | test/test_entities_api.py | iknaio/graphsense-python | b61c66b6ec0bb9720036ae61777e90ce63a971cc | [
"MIT"
] | null | null | null | test/test_entities_api.py | iknaio/graphsense-python | b61c66b6ec0bb9720036ae61777e90ce63a971cc | [
"MIT"
] | 1 | 2022-02-24T11:21:49.000Z | 2022-02-24T11:21:49.000Z | test/test_entities_api.py | iknaio/graphsense-python | b61c66b6ec0bb9720036ae61777e90ce63a971cc | [
"MIT"
] | null | null | null | """
GraphSense API
GraphSense API # noqa: E501
The version of the OpenAPI document: 0.5.1
Generated by: https://openapi-generator.tech
"""
import unittest
import graphsense
from graphsense.api.entities_api import EntitiesApi # noqa: E501
if __name__ == '__main__':
unittest.main()
| 21.871795 | 73 | 0.623681 |
a39afee8e197b6834391bc0d4c2a7ba0f29e4cdf | 622 | py | Python | tests/test_versions_in_sync.py | simon-graham/pure_interface | da7bf05151c1c906c753987fbf7e3251905b4ba0 | [
"MIT"
] | 10 | 2018-08-27T04:15:53.000Z | 2021-08-18T09:45:35.000Z | tests/test_versions_in_sync.py | simon-graham/pure_interface | da7bf05151c1c906c753987fbf7e3251905b4ba0 | [
"MIT"
] | 35 | 2018-08-27T04:17:44.000Z | 2021-09-22T05:39:57.000Z | tests/test_versions_in_sync.py | tim-mitchell/pure_interface | 46a2de2574f4543980303cafd89cfcbdb643fbbb | [
"MIT"
] | 3 | 2018-09-19T21:32:01.000Z | 2020-11-17T00:58:55.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import unittest
import pure_interface
| 29.619048 | 82 | 0.636656 |
a39ce7f687dbc4302e562228dd957da1ccaaa084 | 315 | py | Python | catalog/bindings/wfs/get_capabilities_2.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/wfs/get_capabilities_2.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/wfs/get_capabilities_2.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass
from bindings.wfs.get_capabilities_type_2 import GetCapabilitiesType2
__NAMESPACE__ = "http://www.opengis.net/wfs/2.0"
| 26.25 | 69 | 0.755556 |
a39d78970a2b5428929cac47bbcd677dcd4fd411 | 2,169 | py | Python | timeStamps/admin.py | zandegran/django-timeStamp | 2c598d5543dc9b9198f41f0712406f22e60d5fa6 | [
"MIT"
] | 1 | 2017-12-15T17:36:58.000Z | 2017-12-15T17:36:58.000Z | timeStamps/admin.py | zandegran/django-timeStamp | 2c598d5543dc9b9198f41f0712406f22e60d5fa6 | [
"MIT"
] | null | null | null | timeStamps/admin.py | zandegran/django-timeStamp | 2c598d5543dc9b9198f41f0712406f22e60d5fa6 | [
"MIT"
] | null | null | null | """
This module is to define how TimeStamp model is represented in the Admin site
It also registers the model to be shown in the admin site
.. seealso:: :class:`..models.TimeStamp`
"""
from django.contrib import admin
from .models import TimeStamp
admin.site.register(TimeStamp,TimeStampAdmin) # Registers the ... | 32.863636 | 125 | 0.654219 |
a39e36cdbd6fb2489b1dabdf74c900884f32c597 | 718 | py | Python | setup.py | Gearheart-team/django-accounts | e0c2f12d350846fa31143b6dbdb0cf6fa713fb11 | [
"MIT"
] | null | null | null | setup.py | Gearheart-team/django-accounts | e0c2f12d350846fa31143b6dbdb0cf6fa713fb11 | [
"MIT"
] | null | null | null | setup.py | Gearheart-team/django-accounts | e0c2f12d350846fa31143b6dbdb0cf6fa713fb11 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name='izeni-django-accounts',
version='1.1.2a',
namespace_packages=['izeni', 'izeni.django'],
packages=find_packages(),
include_package_data=True,
author='Izeni, Inc.',
author_email='django-accounts@izeni.com',
description=open('README.... | 29.916667 | 107 | 0.637883 |
a39ece0f6a490b1cd3625b5fef325786496075c3 | 2,973 | py | Python | train.py | Saaaber/urban-segmentation | fc893feb9208d3206d7c5329b1ccf4cfab97ed31 | [
"MIT"
] | 3 | 2020-11-16T20:21:25.000Z | 2021-06-11T13:09:30.000Z | train.py | Saaaber/urban-segmentation | fc893feb9208d3206d7c5329b1ccf4cfab97ed31 | [
"MIT"
] | null | null | null | train.py | Saaaber/urban-segmentation | fc893feb9208d3206d7c5329b1ccf4cfab97ed31 | [
"MIT"
] | 3 | 2020-11-11T23:43:15.000Z | 2022-03-17T09:03:42.000Z | # Copyright (c) Ville de Montreal. All rights reserved.
# Licensed under the MIT license.
# See LICENSE file in the project root for full license information.
import os
import json
import torch
import argparse
import datetime
from utils.factories import ModelFactory, OptimizerFactory, TrainerFactory
if __name__ == "... | 33.784091 | 83 | 0.636731 |
a3a01913f52507b8c2e9c60bffcef520ae43b4db | 1,036 | py | Python | pypeit/core/wavecal/spectrographs/templ_soar_goodman.py | rcooke-ast/PYPIT | 0cb9c4cb422736b855065a35aefc2bdba6d51dd0 | [
"BSD-3-Clause"
] | null | null | null | pypeit/core/wavecal/spectrographs/templ_soar_goodman.py | rcooke-ast/PYPIT | 0cb9c4cb422736b855065a35aefc2bdba6d51dd0 | [
"BSD-3-Clause"
] | null | null | null | pypeit/core/wavecal/spectrographs/templ_soar_goodman.py | rcooke-ast/PYPIT | 0cb9c4cb422736b855065a35aefc2bdba6d51dd0 | [
"BSD-3-Clause"
] | null | null | null | """ Generate the wavelength templates for SOAR Goodman"""
import os
from pypeit.core.wavecal import templates
from IPython import embed
if __name__ == '__main__':
soar_goodman_400(overwrite=True) | 31.393939 | 85 | 0.638031 |
a3a1c89d1bcdd899b6c1712a17770e89aa6ef0b0 | 5,062 | py | Python | vivarium/lidar.py | Pyrofoux/vivarium | 90c07384929f6c34915f053fd8e95e91358c4e58 | [
"MIT"
] | 2 | 2020-10-30T15:28:06.000Z | 2022-01-31T17:13:25.000Z | vivarium/lidar.py | Pyrofoux/vivarium | 90c07384929f6c34915f053fd8e95e91358c4e58 | [
"MIT"
] | null | null | null | vivarium/lidar.py | Pyrofoux/vivarium | 90c07384929f6c34915f053fd8e95e91358c4e58 | [
"MIT"
] | null | null | null | from simple_playgrounds.entities.agents.sensors.sensor import *
from simple_playgrounds.entities.agents.sensors.semantic_sensors import *
from collections import defaultdict
from pymunk.vec2d import Vec2d
import math
#@SensorGenerator.register('lidar')
| 34.435374 | 111 | 0.600356 |
a3a2b31e0b527f3675dc65a92359c7b90836c880 | 511 | py | Python | apilos_settings/models.py | MTES-MCT/apilos | 6404b94b0f668e39c1dc12a6421aebd26ef1c98b | [
"MIT"
] | null | null | null | apilos_settings/models.py | MTES-MCT/apilos | 6404b94b0f668e39c1dc12a6421aebd26ef1c98b | [
"MIT"
] | 2 | 2021-12-15T05:10:43.000Z | 2021-12-15T05:11:00.000Z | apilos_settings/models.py | MTES-MCT/apilos | 6404b94b0f668e39c1dc12a6421aebd26ef1c98b | [
"MIT"
] | 1 | 2021-12-28T13:06:06.000Z | 2021-12-28T13:06:06.000Z | from django.db import models
| 26.894737 | 60 | 0.700587 |
a3a3cd19889c828efa32a912a6cda2aa73fb4ca6 | 4,310 | py | Python | bin/allplots.py | Gabaldonlab/karyon | ba81828921b83b553f126892795253be1fd941ba | [
"MIT"
] | null | null | null | bin/allplots.py | Gabaldonlab/karyon | ba81828921b83b553f126892795253be1fd941ba | [
"MIT"
] | 2 | 2021-07-07T08:40:56.000Z | 2022-01-06T16:10:27.000Z | bin/allplots.py | Gabaldonlab/karyon | ba81828921b83b553f126892795253be1fd941ba | [
"MIT"
] | null | null | null | #!/bin/python
import sys, os, re, subprocess, math
import argparse
import psutil
from pysam import pysam
from Bio import SeqIO
import numpy as np
import numpy.random
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
#import seaborn as sns
import pandas as pd
import scipy.stats
from scipy.stats imp... | 35.916667 | 236 | 0.710905 |
a3a50e8b6b7936872866a8a4572b115958922c08 | 713 | py | Python | console/middleware.py | laincloud/Console | 9d4fb68ad5378279697803ca45a4eda58d72d9a3 | [
"MIT"
] | 11 | 2016-05-04T11:55:01.000Z | 2018-09-29T01:00:05.000Z | console/middleware.py | laincloud/Console | 9d4fb68ad5378279697803ca45a4eda58d72d9a3 | [
"MIT"
] | 21 | 2016-05-25T06:54:44.000Z | 2019-06-06T00:38:38.000Z | console/middleware.py | laincloud/Console | 9d4fb68ad5378279697803ca45a4eda58d72d9a3 | [
"MIT"
] | 16 | 2016-05-13T08:20:43.000Z | 2021-12-31T09:23:14.000Z | # -*- coding: utf-8
from django.http import JsonResponse, HttpResponse
# from commons.settings import ARCHON_HOST
| 32.409091 | 100 | 0.605891 |
a3a5bb350e05522589702afb78e2a9430fe6a8c4 | 1,061 | py | Python | test.py | vinsmokemau/NQueens | 7c9291f655b8e4f0ce4c6c5d07a80440f8f2c0a8 | [
"MIT"
] | null | null | null | test.py | vinsmokemau/NQueens | 7c9291f655b8e4f0ce4c6c5d07a80440f8f2c0a8 | [
"MIT"
] | null | null | null | test.py | vinsmokemau/NQueens | 7c9291f655b8e4f0ce4c6c5d07a80440f8f2c0a8 | [
"MIT"
] | null | null | null | import unittest
from algorithm import NQueens
| 25.878049 | 65 | 0.673893 |
6e55e971b17323a0b8342354a7a6ad601469f01e | 18,524 | py | Python | syntropynac/resolve.py | SyntropyNet/syntropy-nac | 8beddcd606d46fd909f51d0c53044be496cec995 | [
"MIT"
] | 3 | 2021-01-06T08:24:47.000Z | 2021-02-27T08:08:07.000Z | syntropynac/resolve.py | SyntropyNet/syntropy-nac | 8beddcd606d46fd909f51d0c53044be496cec995 | [
"MIT"
] | null | null | null | syntropynac/resolve.py | SyntropyNet/syntropy-nac | 8beddcd606d46fd909f51d0c53044be496cec995 | [
"MIT"
] | null | null | null | import functools
from dataclasses import dataclass
from itertools import combinations
import click
import syntropy_sdk as sdk
from syntropy_sdk import utils
from syntropynac.exceptions import ConfigureNetworkError
from syntropynac.fields import ALLOWED_PEER_TYPES, ConfigFields, PeerState, PeerType
def resolve_ag... | 36.608696 | 125 | 0.589721 |
6e56c45295d74ab6452768ca7c9600d73e511225 | 10,298 | py | Python | idact/detail/nodes/node_impl.py | garstka/idact | b9c8405c94db362c4a51d6bfdf418b14f06f0da1 | [
"MIT"
] | 5 | 2018-12-06T15:40:34.000Z | 2019-06-19T11:22:58.000Z | idact/detail/nodes/node_impl.py | garstka/idact | b9c8405c94db362c4a51d6bfdf418b14f06f0da1 | [
"MIT"
] | 9 | 2018-12-06T16:35:26.000Z | 2019-04-28T19:01:40.000Z | idact/detail/nodes/node_impl.py | garstka/idact | b9c8405c94db362c4a51d6bfdf418b14f06f0da1 | [
"MIT"
] | 2 | 2019-04-28T19:18:58.000Z | 2019-06-17T06:56:28.000Z | """This module contains the implementation of the cluster node interface."""
import datetime
from typing import Optional, Any, Callable
import bitmath
import fabric.operations
import fabric.tasks
import fabric.decorators
from fabric.exceptions import CommandTimeout
from fabric.state import env
from idact.core.retry ... | 37.721612 | 79 | 0.583026 |
6e5770f83af2ce49e0548c12ebb2126470694c34 | 2,012 | py | Python | geoportal/LUX_alembic/versions/17fb1559a5cd_create_table_for_hierarchy_of_accounts.py | arnaud-morvan/geoportailv3 | b9d676cf78e45e12894f7d1ceea99b915562d64f | [
"MIT"
] | 17 | 2015-01-14T08:40:22.000Z | 2021-05-08T04:39:50.000Z | geoportal/LUX_alembic/versions/17fb1559a5cd_create_table_for_hierarchy_of_accounts.py | arnaud-morvan/geoportailv3 | b9d676cf78e45e12894f7d1ceea99b915562d64f | [
"MIT"
] | 1,477 | 2015-01-05T09:58:41.000Z | 2022-03-18T11:07:09.000Z | geoportal/LUX_alembic/versions/17fb1559a5cd_create_table_for_hierarchy_of_accounts.py | arnaud-morvan/geoportailv3 | b9d676cf78e45e12894f7d1ceea99b915562d64f | [
"MIT"
] | 14 | 2015-07-24T07:33:13.000Z | 2021-03-02T13:51:48.000Z | """create table for hierarchy of accounts
Revision ID: 17fb1559a5cd
Revises: 3b7de32aebed
Create Date: 2015-09-16 14:20:30.972593
"""
# revision identifiers, used by Alembic.
revision = '17fb1559a5cd'
down_revision = '3b7de32aebed'
branch_labels = None
depends_on = None
from alembic import op, context
import sqlalc... | 27.944444 | 73 | 0.611332 |
6e596f23ab56bd2dd8dd6ce01540892f3e46cdad | 1,076 | py | Python | tests/test_migrate.py | tvcsantos/Flexget | e08ce2957dd4f0668911d1e56347369939e4d0a5 | [
"MIT"
] | 1 | 2017-08-25T07:17:04.000Z | 2017-08-25T07:17:04.000Z | tests/test_migrate.py | tvcsantos/Flexget | e08ce2957dd4f0668911d1e56347369939e4d0a5 | [
"MIT"
] | 1 | 2018-06-09T18:03:35.000Z | 2018-06-09T18:03:35.000Z | tests/test_migrate.py | tvcsantos/Flexget | e08ce2957dd4f0668911d1e56347369939e4d0a5 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals, division, absolute_import
import os
from tests import FlexGetBase
| 31.647059 | 132 | 0.636617 |
6e5a5481a3630f1bb09ba60f327038cb691a80cf | 2,422 | py | Python | src/challenges/CtCI/dynamic/P1_triple_step.py | Ursidours/pythonic_interviews | a88e10b82ed2a163dfcc0bfd1d01a9e9e606c045 | [
"MIT"
] | 2 | 2021-11-13T01:30:25.000Z | 2022-02-11T18:17:22.000Z | src/challenges/CtCI/dynamic/P1_triple_step.py | arnaudblois/pythonic_interviews | a88e10b82ed2a163dfcc0bfd1d01a9e9e606c045 | [
"MIT"
] | null | null | null | src/challenges/CtCI/dynamic/P1_triple_step.py | arnaudblois/pythonic_interviews | a88e10b82ed2a163dfcc0bfd1d01a9e9e606c045 | [
"MIT"
] | null | null | null | """
Problem 1 of Chapter 8 in CtCi
Triple Step: A child is running up a staircase with N steps and can hop either
1 step, 2 steps, or 3 steps at a time. Return the number of possible ways exist
this can be done.
General idea of the solution: At any step N, the child must necessarily come
from the steps N-3, N-2 or N-1... | 31.454545 | 79 | 0.641618 |
6e5a95d6b33481e439c3c6dd74b69db486074c51 | 117 | py | Python | lib/JumpScale/lib/docker/__init__.py | Jumpscale/jumpscale6_core | 0502ddc1abab3c37ed982c142d21ea3955d471d3 | [
"BSD-2-Clause"
] | 1 | 2015-10-26T10:38:13.000Z | 2015-10-26T10:38:13.000Z | lib/JumpScale/lib/docker/__init__.py | Jumpscale/jumpscale6_core | 0502ddc1abab3c37ed982c142d21ea3955d471d3 | [
"BSD-2-Clause"
] | null | null | null | lib/JumpScale/lib/docker/__init__.py | Jumpscale/jumpscale6_core | 0502ddc1abab3c37ed982c142d21ea3955d471d3 | [
"BSD-2-Clause"
] | null | null | null | from JumpScale import j
j.base.loader.makeAvailable(j, 'tools')
from Docker import Docker
j.tools.docker = Docker()
| 19.5 | 39 | 0.769231 |
6e5ab1e623f341546ab1d75882702a30b02894e2 | 3,704 | py | Python | scenes/capture/motor_pi/stepper/motorclient.py | tum-pbs/reconstructScalarFlows | 948efeaa99b90c3879f9fb544da9a596b0cb5852 | [
"Apache-2.0"
] | null | null | null | scenes/capture/motor_pi/stepper/motorclient.py | tum-pbs/reconstructScalarFlows | 948efeaa99b90c3879f9fb544da9a596b0cb5852 | [
"Apache-2.0"
] | 1 | 2020-02-20T12:37:38.000Z | 2020-02-20T17:04:53.000Z | scenes/capture/motor_pi/stepper/motorclient.py | tum-pbs/reconstructScalarFlows | 948efeaa99b90c3879f9fb544da9a596b0cb5852 | [
"Apache-2.0"
] | 3 | 2020-01-23T04:32:46.000Z | 2020-02-20T05:48:36.000Z | #!/usr/bin/env python2
import sys
import socket
import datetime
import math
import time
from time import sleep
# The c binary for controlling the stepper motor is loaded via ctypes
from ctypes import *
stepper_lib = cdll.LoadLibrary('./stepper.so')
# buffer containing the incomplete commands
recvBuffer = str()
# ... | 23.896774 | 78 | 0.560475 |
6e5d48ba91cb1100ebbf354d7f7d6405aa099be0 | 20,335 | py | Python | bots/invaders/agent.py | alv67/Lux-AI-challenge | 4fdd623a8ff578f769a6925ec0200170f84d4737 | [
"MIT"
] | null | null | null | bots/invaders/agent.py | alv67/Lux-AI-challenge | 4fdd623a8ff578f769a6925ec0200170f84d4737 | [
"MIT"
] | 27 | 2021-10-17T22:46:41.000Z | 2021-12-05T23:41:19.000Z | bots/invaders/agent.py | alv67/Lux-AI-challenge | 4fdd623a8ff578f769a6925ec0200170f84d4737 | [
"MIT"
] | 3 | 2021-11-14T19:22:16.000Z | 2021-12-04T06:46:33.000Z | import os
import math
import sys
from typing import List, Tuple
# for kaggle-environments
from abn.game_ext import GameExtended
from abn.jobs import Task, Job, JobBoard
from abn.actions import Actions
from lux.game_map import Position, Cell, RESOURCE_TYPES
from lux.game_objects import City
from lux.game_constants impo... | 47.847059 | 126 | 0.503369 |
6e5de644fd911fb842013165cff69e62361a9159 | 12,503 | py | Python | PySRCG/src/Tabs/cyberware_tab.py | apampuch/PySRCG | bb3777aed3517b473e5860336c015e2e8d0905e9 | [
"MIT"
] | null | null | null | PySRCG/src/Tabs/cyberware_tab.py | apampuch/PySRCG | bb3777aed3517b473e5860336c015e2e8d0905e9 | [
"MIT"
] | null | null | null | PySRCG/src/Tabs/cyberware_tab.py | apampuch/PySRCG | bb3777aed3517b473e5860336c015e2e8d0905e9 | [
"MIT"
] | null | null | null | from copy import copy
from tkinter import *
from tkinter import ttk
from src import app_data
from src.CharData.augment import Cyberware
from src.Tabs.notebook_tab import NotebookTab
from src.statblock_modifier import StatMod
from src.utils import treeview_get, recursive_treeview_fill, calculate_attributes, get_variabl... | 38.589506 | 116 | 0.589698 |
6e5f43493f76b33f089dfbae79e524b7b68ad4b5 | 337 | py | Python | myapp/mymetric/my-metric.py | affoliveira/hiring-engineers | 4064d8c7b6cead9a88197e95fcd6a0f2395e4d44 | [
"Apache-2.0"
] | null | null | null | myapp/mymetric/my-metric.py | affoliveira/hiring-engineers | 4064d8c7b6cead9a88197e95fcd6a0f2395e4d44 | [
"Apache-2.0"
] | null | null | null | myapp/mymetric/my-metric.py | affoliveira/hiring-engineers | 4064d8c7b6cead9a88197e95fcd6a0f2395e4d44 | [
"Apache-2.0"
] | null | null | null | from datadog import initialize, statsd
import time
import random
import os
options = {
'statsd_host':os.environ['DD_AGENT_HOST'],
'statsd_port':8125
}
initialize(**options)
i = 0
while(1):
i += 1
r = random.randint(0, 1000)
statsd.gauge('mymetric',r , tags=["environment:dev"])
time.sleep(int(os.envi... | 17.736842 | 55 | 0.68546 |
6e5f8bfb8859c97984af510e67f81278396d3ad6 | 277 | py | Python | 1 ano/logica-de-programacao/list-telefone-lucio.py | ThiagoPereira232/tecnico-informatica | 6b55ecf34501b38052943acf1b37074e3472ce6e | [
"MIT"
] | 1 | 2021-09-24T16:26:04.000Z | 2021-09-24T16:26:04.000Z | 1 ano/logica-de-programacao/list-telefone-lucio.py | ThiagoPereira232/tecnico-informatica | 6b55ecf34501b38052943acf1b37074e3472ce6e | [
"MIT"
] | null | null | null | 1 ano/logica-de-programacao/list-telefone-lucio.py | ThiagoPereira232/tecnico-informatica | 6b55ecf34501b38052943acf1b37074e3472ce6e | [
"MIT"
] | null | null | null | n = [0,0,0,0,0,0,0,0,0,0]
t = [0,0,0,0,0,0,0,0,0,0]
c=0
while(c<10):
n[c]=input("Digite o nome")
t[c]=input("Digite o telefone")
c+=1
const=""
while(const!="fim"):
cons=input("Digite nome a consultar")
if(n[c]==const):
print(f"TEl: {t[c]}")
c+=1 | 21.307692 | 41 | 0.516245 |
6e61986199cea39f158bd8be59e6773d5f58be23 | 8,979 | py | Python | serve_tiny_performance_mdrnn.py | cpmpercussion/robojam | 8f9524be0ad850bdfc0c3459b0e4b677f5f70a84 | [
"MIT"
] | 10 | 2017-11-18T04:01:03.000Z | 2022-03-06T21:07:09.000Z | serve_tiny_performance_mdrnn.py | cpmpercussion/robojam | 8f9524be0ad850bdfc0c3459b0e4b677f5f70a84 | [
"MIT"
] | 17 | 2018-06-12T20:54:40.000Z | 2022-02-09T23:27:24.000Z | serve_tiny_performance_mdrnn.py | cpmpercussion/robojam | 8f9524be0ad850bdfc0c3459b0e4b677f5f70a84 | [
"MIT"
] | 2 | 2017-12-05T23:39:42.000Z | 2018-06-13T13:46:33.000Z | #!/usr/bin/env python3
"""A flask server for Robojam"""
import json
import time
from io import StringIO
import pandas as pd
import tensorflow as tf
import robojam
from tensorflow.compat.v1.keras import backend as K
from flask import Flask, request
from flask_cors import CORS
# Start server.
tf.compat.v1.logging.set_v... | 121.337838 | 1,670 | 0.702639 |
6e63b1a8022fa7d3c4dd2cc0d17b00043e002831 | 1,024 | py | Python | youtube_sync/tasks.py | abhayagiri/youtube-sync | ce3861f1b0c1448b1d48e5ba17925f5c082f04a2 | [
"MIT"
] | null | null | null | youtube_sync/tasks.py | abhayagiri/youtube-sync | ce3861f1b0c1448b1d48e5ba17925f5c082f04a2 | [
"MIT"
] | null | null | null | youtube_sync/tasks.py | abhayagiri/youtube-sync | ce3861f1b0c1448b1d48e5ba17925f5c082f04a2 | [
"MIT"
] | null | null | null | from datetime import datetime
import os
import re
import subprocess
from . import app, celery, db
from .database import Job
| 26.947368 | 84 | 0.682617 |
6e6b8e97a66c01a64f2cca3a534d23843f440130 | 560 | py | Python | setup.py | garethrylance/python-sdk-example | 3f21c3a6c28f46050688ce1be66e33433a801e7c | [
"CC0-1.0"
] | null | null | null | setup.py | garethrylance/python-sdk-example | 3f21c3a6c28f46050688ce1be66e33433a801e7c | [
"CC0-1.0"
] | null | null | null | setup.py | garethrylance/python-sdk-example | 3f21c3a6c28f46050688ce1be66e33433a801e7c | [
"CC0-1.0"
] | null | null | null | from setuptools import setup
setup(
name="python-sdk-example",
version="0.1",
description="The dispatch model loader - lambda part.",
url="https://github.com/garethrylance/python-sdk-example",
author="Gareth Rylance",
author_email="gareth@rylance.me.uk",
packages=["example_sdk"],
instal... | 31.111111 | 82 | 0.671429 |
6e6bf3bcb9f6b04ecf66cf6829603687c806b677 | 4,140 | py | Python | markov.py | themichaelusa/zuckerkov | d68780f987b3f032d6382ea75118c84e7f205a39 | [
"MIT"
] | 1 | 2020-03-17T23:34:17.000Z | 2020-03-17T23:34:17.000Z | markov.py | themichaelusa/zuckerkov | d68780f987b3f032d6382ea75118c84e7f205a39 | [
"MIT"
] | null | null | null | markov.py | themichaelusa/zuckerkov | d68780f987b3f032d6382ea75118c84e7f205a39 | [
"MIT"
] | null | null | null | ### IMPORTS
import json
import glob
import string
import random
import spacy
from spacy.lang.en.stop_words import STOP_WORDS
import markovify
### CONSTANTS/GLOBALS/LAMBDAS
SYMBOLS_TO_RM = tuple(list(string.punctuation) + ['\xad'])
NUMBERS_TO_RM = tuple(string.digits)
spacy.prefer_gpu()
NLP_ENGINE = spacy.load("en_c... | 23 | 67 | 0.717874 |
6e6ceb4b1bd05af797219ac67e3f71b01f520394 | 6,211 | py | Python | src/cnf_shuffler.py | jreeves3/BiPartGen-Artifact | d7c6db628cad25701a398da67ab87bb725513a61 | [
"MIT"
] | null | null | null | src/cnf_shuffler.py | jreeves3/BiPartGen-Artifact | d7c6db628cad25701a398da67ab87bb725513a61 | [
"MIT"
] | null | null | null | src/cnf_shuffler.py | jreeves3/BiPartGen-Artifact | d7c6db628cad25701a398da67ab87bb725513a61 | [
"MIT"
] | null | null | null | #/**********************************************************************************
# Copyright (c) 2021 Joseph Reeves and Cayden Codel, Carnegie Mellon University
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
# associated documentation files (the "Software"), t... | 34.893258 | 101 | 0.605378 |
6e6dbb5cefe12073382965816c2a9d3f10ed725c | 4,171 | py | Python | test/app_page_scraper_test.py | googleinterns/betel | 2daa56081ccc753f5b7eafbd1e9a48e3aca4b657 | [
"Apache-2.0"
] | 1 | 2020-09-21T12:52:33.000Z | 2020-09-21T12:52:33.000Z | test/app_page_scraper_test.py | googleinterns/betel | 2daa56081ccc753f5b7eafbd1e9a48e3aca4b657 | [
"Apache-2.0"
] | null | null | null | test/app_page_scraper_test.py | googleinterns/betel | 2daa56081ccc753f5b7eafbd1e9a48e3aca4b657 | [
"Apache-2.0"
] | 1 | 2020-07-31T09:55:33.000Z | 2020-07-31T09:55:33.000Z | import pathlib
import pytest
from betel import app_page_scraper
from betel import betel_errors
from betel import utils
ICON_HTML = """
<img src="%s" class="T75of sHb2Xb">
"""
CATEGORY_HTML = """
<a itemprop="genre">Example</a>
"""
FILTERED_CATEGORY_HTML = """
<a itemprop="genre">Filtered</a>
"""
SIMPLE_HTML = """
<... | 28.182432 | 86 | 0.714217 |
6e702ceebd6384acfed75804122d1e9b9864c6c7 | 2,776 | py | Python | add.py | plasticuproject/cert-dbms | 0a8f1d8eb69610fa1c0403c08d3d3ac057e3d698 | [
"MIT"
] | null | null | null | add.py | plasticuproject/cert-dbms | 0a8f1d8eb69610fa1c0403c08d3d3ac057e3d698 | [
"MIT"
] | null | null | null | add.py | plasticuproject/cert-dbms | 0a8f1d8eb69610fa1c0403c08d3d3ac057e3d698 | [
"MIT"
] | 1 | 2020-10-27T12:06:36.000Z | 2020-10-27T12:06:36.000Z | #!/usr/bin/python3
"""add.py"""
from sys import argv
import datetime
import sqlite3
import pathlib
PATH = pathlib.Path.cwd()
HELP_TEXT = '''
Usage: add.py [-h] directory
-h, --help bring up this help message
directory directory with certs to add
'''
def add_certs(cert_dir: str) -> None:
"""... | 30.844444 | 193 | 0.583934 |
6e710c139901b3edb6aaa6a1f60ac54de8da8353 | 209 | py | Python | mrq_monitor.py | HyokaChen/violet | b89ddb4f909c2a40e76d89b665949e55086a7a80 | [
"Apache-2.0"
] | 1 | 2020-07-29T15:49:35.000Z | 2020-07-29T15:49:35.000Z | mrq_monitor.py | HyokaChen/violet | b89ddb4f909c2a40e76d89b665949e55086a7a80 | [
"Apache-2.0"
] | 1 | 2019-12-19T10:19:57.000Z | 2019-12-19T11:15:28.000Z | mrq_monitor.py | EmptyChan/violet | b89ddb4f909c2a40e76d89b665949e55086a7a80 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created with IntelliJ IDEA.
Description:
User: jinhuichen
Date: 3/28/2018 4:17 PM
Description:
"""
from mrq.dashboard.app import main
if __name__ == '__main__':
main() | 16.076923 | 34 | 0.650718 |
6e734b51dd3ec79fecc1a0e0800072ebad29c909 | 556 | py | Python | lang/string/reverse-words.py | joez/letspy | 9f653bc0071821fdb49da8c19787dc7e12921457 | [
"Apache-2.0"
] | null | null | null | lang/string/reverse-words.py | joez/letspy | 9f653bc0071821fdb49da8c19787dc7e12921457 | [
"Apache-2.0"
] | null | null | null | lang/string/reverse-words.py | joez/letspy | 9f653bc0071821fdb49da8c19787dc7e12921457 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
if __name__ == '__main__':
s = input()
for f in (reverse_words, reverse_words_ext):
print(f(s))
| 19.857143 | 50 | 0.491007 |
6e74495ac01d11fb500db642fc48819334b6af0a | 140 | py | Python | k8s/the-project/kubeless/ok-func.py | cjimti/mk | b303e147da77776baf5fee337e356ebeccbe2c01 | [
"MIT"
] | 1 | 2019-04-18T09:52:48.000Z | 2019-04-18T09:52:48.000Z | k8s/the-project/kubeless/ok-func.py | cjimti/mk | b303e147da77776baf5fee337e356ebeccbe2c01 | [
"MIT"
] | null | null | null | k8s/the-project/kubeless/ok-func.py | cjimti/mk | b303e147da77776baf5fee337e356ebeccbe2c01 | [
"MIT"
] | null | null | null | import requests
| 15.555556 | 43 | 0.65 |
6e74bf0ffc1a010178cf010d5be1824b1235b7ba | 11,166 | py | Python | python-scripts/gt_generate_python_curve.py | TrevisanGMW/maya | 4e3b45210d09a1cd2a1c0419defe6a5ffa97cf92 | [
"MIT"
] | 26 | 2020-11-16T12:49:05.000Z | 2022-03-09T20:39:22.000Z | python-scripts/gt_generate_python_curve.py | TrevisanGMW/maya | 4e3b45210d09a1cd2a1c0419defe6a5ffa97cf92 | [
"MIT"
] | 47 | 2020-11-08T23:35:49.000Z | 2022-03-10T03:43:00.000Z | python-scripts/gt_generate_python_curve.py | TrevisanGMW/maya | 4e3b45210d09a1cd2a1c0419defe6a5ffa97cf92 | [
"MIT"
] | 5 | 2021-01-27T06:10:34.000Z | 2021-10-30T23:29:44.000Z | """
Python Curve Generator
@Guilherme Trevisan - github.com/TrevisanGMW/gt-tools - 2020-01-02
1.1 - 2020-01-03
Minor patch adjustments to the script
1.2 - 2020-06-07
Fixed random window widthHeight issue.
Updated naming convention to make it clearer. (PEP8)
Added length checker for selection befor... | 40.901099 | 129 | 0.5729 |
6e75ab3bf35f32714181bf627668b80eaa462378 | 1,766 | py | Python | client/core/scene/summary.py | krerkkiat/space-invader | 428b1041c9246b55cb63bc6c0b2ec20beb7a32ed | [
"MIT"
] | null | null | null | client/core/scene/summary.py | krerkkiat/space-invader | 428b1041c9246b55cb63bc6c0b2ec20beb7a32ed | [
"MIT"
] | null | null | null | client/core/scene/summary.py | krerkkiat/space-invader | 428b1041c9246b55cb63bc6c0b2ec20beb7a32ed | [
"MIT"
] | null | null | null | import pygame
from config import Config
from core.ui import Table, Button
from core.scene import Scene
from core.manager import SceneManager
from core.scene.preload import Preload | 34.627451 | 109 | 0.656285 |
6e7654580b77f1dbecf04a37ead830e9b06ecf31 | 198 | py | Python | mwptoolkit/module/Encoder/__init__.py | ShubhamAnandJain/MWP-CS229 | ce86233504fdb37e104a3944fd81d4606fbfa621 | [
"MIT"
] | 71 | 2021-03-08T06:06:15.000Z | 2022-03-30T11:59:37.000Z | mwptoolkit/module/Encoder/__init__.py | ShubhamAnandJain/MWP-CS229 | ce86233504fdb37e104a3944fd81d4606fbfa621 | [
"MIT"
] | 13 | 2021-09-07T12:38:23.000Z | 2022-03-22T15:08:16.000Z | mwptoolkit/module/Encoder/__init__.py | ShubhamAnandJain/MWP-CS229 | ce86233504fdb37e104a3944fd81d4606fbfa621 | [
"MIT"
] | 21 | 2021-02-16T07:46:36.000Z | 2022-03-23T13:41:33.000Z | from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
from mwptoolkit.module.Encoder import graph_based_encoder,rnn_encoder,transformer_encoder | 49.5 | 89 | 0.90404 |
6e78083845e016661893639e08ffab0d50cff621 | 546 | py | Python | src/python/intensity/components/shutdown_if_empty.py | kripken/intensityengine | 9ae352b4f526ecb180004ae4968db7f64f140762 | [
"MIT"
] | 31 | 2015-01-18T20:27:31.000Z | 2021-07-03T03:58:47.000Z | src/python/intensity/components/shutdown_if_empty.py | JamesLinus/intensityengine | 9ae352b4f526ecb180004ae4968db7f64f140762 | [
"MIT"
] | 4 | 2015-07-05T21:09:37.000Z | 2019-09-06T14:34:59.000Z | src/python/intensity/components/shutdown_if_empty.py | JamesLinus/intensityengine | 9ae352b4f526ecb180004ae4968db7f64f140762 | [
"MIT"
] | 11 | 2015-02-03T19:24:10.000Z | 2019-09-20T10:59:50.000Z |
# Copyright 2010 Alon Zakai ('kripken'). All rights reserved.
# This file is part of Syntensity/the Intensity Engine, an open source project. See COPYING.txt for licensing.
from intensity.signals import client_connect, client_disconnect
from intensity.base import quit
client_connect.connect(add, weak=False)
... | 22.75 | 110 | 0.717949 |
6e780b142bddebcec890df30277381a71e204488 | 694 | py | Python | pyforms/utils/timeit.py | dominic-dev/pyformsd | 23e31ceff2943bc0f7286d25dd14450a14b986af | [
"MIT"
] | null | null | null | pyforms/utils/timeit.py | dominic-dev/pyformsd | 23e31ceff2943bc0f7286d25dd14450a14b986af | [
"MIT"
] | null | null | null | pyforms/utils/timeit.py | dominic-dev/pyformsd | 23e31ceff2943bc0f7286d25dd14450a14b986af | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = "Ricardo Ribeiro"
__credits__ = ["Ricardo Ribeiro"]
__license__ = "MIT"
__version__ = "0.0"
__maintainer__ = "Ricardo Ribeiro"
__email__ = "ricardojvr@gmail.com"
__status__ = "Development"
import time
from datetime import datetime, ... | 27.76 | 156 | 0.674352 |
6e7a4b454a8651618254290e5f7ef6b4e1cd99a9 | 1,388 | py | Python | cogs/botinfo.py | MM-coder/salbot-rewrite | 322c34ba85a2c852e02cd3c183d5a7a4a077ff6f | [
"Apache-2.0"
] | 1 | 2020-08-17T05:14:58.000Z | 2020-08-17T05:14:58.000Z | cogs/botinfo.py | MM-coder/salbot-rewrite | 322c34ba85a2c852e02cd3c183d5a7a4a077ff6f | [
"Apache-2.0"
] | null | null | null | cogs/botinfo.py | MM-coder/salbot-rewrite | 322c34ba85a2c852e02cd3c183d5a7a4a077ff6f | [
"Apache-2.0"
] | 1 | 2020-08-17T16:57:30.000Z | 2020-08-17T16:57:30.000Z | """
Created by vcokltfre at 2020-07-08
"""
import json
import logging
import time
from datetime import datetime
import discord
from discord.ext import commands
from discord.ext.commands import has_any_role
| 28.326531 | 119 | 0.591499 |
6e7b6d33ac9f184e61e6b426b75d7acfe7a99f1e | 6,486 | py | Python | ninja_extra/pagination.py | eadwinCode/django-ninja-extra | 16246c466ab8895ba1bf29d69f3d3e9337031edd | [
"MIT"
] | 43 | 2021-09-09T14:20:59.000Z | 2022-03-28T00:38:52.000Z | ninja_extra/pagination.py | eadwinCode/django-ninja-extra | 16246c466ab8895ba1bf29d69f3d3e9337031edd | [
"MIT"
] | 6 | 2022-01-04T10:53:11.000Z | 2022-03-28T19:53:46.000Z | ninja_extra/pagination.py | eadwinCode/django-ninja-extra | 16246c466ab8895ba1bf29d69f3d3e9337031edd | [
"MIT"
] | null | null | null | import inspect
import logging
from collections import OrderedDict
from functools import wraps
from typing import TYPE_CHECKING, Any, Callable, Optional, Type, Union, cast, overload
from django.core.paginator import InvalidPage, Page, Paginator
from django.db.models import QuerySet
from django.http import HttpRequest
f... | 31.333333 | 101 | 0.665433 |
6e7bea4cb2b85ac4aa392fccc69253e8cb2356b9 | 547 | py | Python | text-boxes/test-textbox01.py | rajorshi-mukherjee/gui-python | 356eef26975e63de48b441d336d75a1f9c232cf3 | [
"MIT"
] | null | null | null | text-boxes/test-textbox01.py | rajorshi-mukherjee/gui-python | 356eef26975e63de48b441d336d75a1f9c232cf3 | [
"MIT"
] | 3 | 2022-01-02T18:04:24.000Z | 2022-01-12T16:35:31.000Z | text-boxes/test-textbox01.py | rajorshi-mukherjee/gui-python | 356eef26975e63de48b441d336d75a1f9c232cf3 | [
"MIT"
] | null | null | null | # !/usr/bin/python3
from tkinter import *
top = Tk()
top.geometry("400x250")
name = Label(top, text = "Name").place(x = 30,y = 50)
email = Label(top, text = "Email").place(x = 30, y = 90)
password = Label(top, text = "Password").place(x = 30, y = 130)
sbmitbtn = Button(top, text = "Submit",act... | 30.388889 | 117 | 0.575868 |
6e7c1a4dd0214c41c2785c1779862d06bb157d94 | 873 | py | Python | server/yafa/migrations/0002_auto_20160606_2216.py | mrmonkington/yafa | d15ba1fdaaa046e3bc07a7a44fb61213d686bb7d | [
"MIT"
] | null | null | null | server/yafa/migrations/0002_auto_20160606_2216.py | mrmonkington/yafa | d15ba1fdaaa046e3bc07a7a44fb61213d686bb7d | [
"MIT"
] | 13 | 2016-08-10T19:22:35.000Z | 2021-06-10T18:53:01.000Z | server/yafa/migrations/0002_auto_20160606_2216.py | mrmonkington/yafa | d15ba1fdaaa046e3bc07a7a44fb61213d686bb7d | [
"MIT"
] | 2 | 2016-06-23T09:02:20.000Z | 2021-03-22T11:39:20.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2016-06-06 22:16
from __future__ import unicode_literals
from django.db import migrations, models
| 24.25 | 63 | 0.54181 |
6e7d261c65a6ddf389725d10b7241f84b3620572 | 501 | py | Python | toys/urls.py | julesc00/restful | 11b5312caf4affeaa06e3ceb5b86a7c73357eed1 | [
"MIT"
] | null | null | null | toys/urls.py | julesc00/restful | 11b5312caf4affeaa06e3ceb5b86a7c73357eed1 | [
"MIT"
] | null | null | null | toys/urls.py | julesc00/restful | 11b5312caf4affeaa06e3ceb5b86a7c73357eed1 | [
"MIT"
] | null | null | null | from django.urls import path
from toys.views import (toy_list_view, toy_detail_view, toy_sql_view, toy_raw_sql_view,
toy_aggregate_view)
app_name = "toys"
urlpatterns = [
path("toys/", toy_list_view, name="toys_list"),
path("toys_sql/", toy_sql_view, name="toys_sql_list"),
path("to... | 35.785714 | 87 | 0.692615 |
6e7e694936dd85ec6e3ce90826c00f74519f89dc | 5,590 | py | Python | predict_image.py | sempwn/kaggle-cats-v-dogs | 0b0e50ca5208248d18b31bfdd456cdb6401060d7 | [
"MIT"
] | null | null | null | predict_image.py | sempwn/kaggle-cats-v-dogs | 0b0e50ca5208248d18b31bfdd456cdb6401060d7 | [
"MIT"
] | null | null | null | predict_image.py | sempwn/kaggle-cats-v-dogs | 0b0e50ca5208248d18b31bfdd456cdb6401060d7 | [
"MIT"
] | null | null | null | '''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- crea... | 38.287671 | 111 | 0.719499 |
6e7f3a4c08faec09d89aa387dcfdf45492ab2264 | 163 | py | Python | ultimate-utils-proj-src/uutils/torch_uu/training/meta_training.py | brando90/ultimate-utils | 9b7ca2e9d330333c4e49722d0708d65b22ed173a | [
"MIT"
] | 5 | 2021-03-13T16:07:26.000Z | 2021-09-09T17:00:36.000Z | ultimate-utils-proj-src/uutils/torch_uu/training/meta_training.py | brando90/ultimate-utils | 9b7ca2e9d330333c4e49722d0708d65b22ed173a | [
"MIT"
] | 8 | 2021-03-09T21:52:09.000Z | 2021-12-02T17:23:33.000Z | ultimate-utils-proj-src/uutils/torch_uu/training/meta_training.py | brando90/ultimate-utils | 9b7ca2e9d330333c4e49722d0708d65b22ed173a | [
"MIT"
] | 5 | 2021-03-24T20:38:43.000Z | 2022-03-17T07:54:12.000Z | """
TODO: Once I finish the d zero and high paper, I will port the code here.
TODO: also put the epochs training, for the ml vs maml paper with synthetic data.
""" | 40.75 | 81 | 0.730061 |
6e7ff5caf482e80185273f9434f18cc9786fbe99 | 692 | py | Python | setup.py | ellwise/kedro-light | 8f5a05d880f3ded23b024d5db72b5fc615e75230 | [
"MIT"
] | 2 | 2021-10-16T12:19:50.000Z | 2022-01-20T16:50:14.000Z | setup.py | ellwise/kedro-light | 8f5a05d880f3ded23b024d5db72b5fc615e75230 | [
"MIT"
] | null | null | null | setup.py | ellwise/kedro-light | 8f5a05d880f3ded23b024d5db72b5fc615e75230 | [
"MIT"
] | null | null | null | from setuptools import setup
from os import path
# read the contents of your README file
curr_dir = path.abspath(path.dirname(__file__))
with open(path.join(curr_dir, "README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name="kedro-light",
version="0.1",
description="A lightweight... | 27.68 | 67 | 0.710983 |
6e812cd9d9f3ad6325c8b7be7fb0c2f7d95ff84f | 1,217 | py | Python | app.py | mh-github/mh-wtgw | 0e8d9b622954e14d1e24fda6fc6a4e63af2cd822 | [
"CC0-1.0"
] | null | null | null | app.py | mh-github/mh-wtgw | 0e8d9b622954e14d1e24fda6fc6a4e63af2cd822 | [
"CC0-1.0"
] | null | null | null | app.py | mh-github/mh-wtgw | 0e8d9b622954e14d1e24fda6fc6a4e63af2cd822 | [
"CC0-1.0"
] | null | null | null | import random
from flask import Flask, request, render_template, jsonify
app = Flask(__name__)
data_list = []
with open('data.txt', 'r') as data_file:
data_list = data_file.readlines()
if __name__ == "__main__":
app.run(host='0.0.0.0') | 27.659091 | 98 | 0.57765 |
6e81c177879d88e6b010319496c61e52cdb196f1 | 13,606 | py | Python | imported_files/plotting_cswl05.py | SoumyaShreeram/Locating_AGN_in_DM_halos | 1cfbee69b2c000faee4ecb199d65c3235afbed42 | [
"MIT"
] | null | null | null | imported_files/plotting_cswl05.py | SoumyaShreeram/Locating_AGN_in_DM_halos | 1cfbee69b2c000faee4ecb199d65c3235afbed42 | [
"MIT"
] | null | null | null | imported_files/plotting_cswl05.py | SoumyaShreeram/Locating_AGN_in_DM_halos | 1cfbee69b2c000faee4ecb199d65c3235afbed42 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Plotting.py for notebook 05_Preliminary_comparison_of_simulations_AGN_fraction_with_data
This python file contains all the functions used for plotting graphs and maps in the 2nd notebook (.ipynb) of the repository: 05. Preliminary comparison of the MM between simulation and data
Script writ... | 43.193651 | 269 | 0.648317 |
6e824c90d5cc97b09e96bf2d9fa8d40cff2f3778 | 1,797 | py | Python | goatools/gosubdag/utils.py | camiloaruiz/goatools | 3da97251ccb6c5e90b616c3f625513f8aba5aa10 | [
"BSD-2-Clause"
] | null | null | null | goatools/gosubdag/utils.py | camiloaruiz/goatools | 3da97251ccb6c5e90b616c3f625513f8aba5aa10 | [
"BSD-2-Clause"
] | null | null | null | goatools/gosubdag/utils.py | camiloaruiz/goatools | 3da97251ccb6c5e90b616c3f625513f8aba5aa10 | [
"BSD-2-Clause"
] | null | null | null | """Small lightweight utilities used frequently in GOATOOLS."""
__copyright__ = "Copyright (C) 2016-2018, DV Klopfenstein, H Tang, All rights reserved."
__author__ = "DV Klopfenstein"
def extract_kwargs(args, exp_keys, exp_elems):
"""Return user-specified keyword args in a dictionary and a set (for True/False ite... | 41.790698 | 94 | 0.668893 |
6e82b8d1720684c00d864fb512765fbff3379ce5 | 309 | py | Python | nicos_ess/ymir/setups/forwarder.py | ebadkamil/nicos | 0355a970d627aae170c93292f08f95759c97f3b5 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 1 | 2021-03-26T10:30:45.000Z | 2021-03-26T10:30:45.000Z | nicos_ess/ymir/setups/forwarder.py | ebadkamil/nicos | 0355a970d627aae170c93292f08f95759c97f3b5 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91 | 2020-08-18T09:20:26.000Z | 2022-02-01T11:07:14.000Z | nicos_ess/ymir/setups/forwarder.py | ebadkamil/nicos | 0355a970d627aae170c93292f08f95759c97f3b5 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 3 | 2020-08-04T18:35:05.000Z | 2021-04-16T11:22:08.000Z | description = 'Monitors the status of the Forwarder'
devices = dict(
KafkaForwarder=device(
'nicos_ess.devices.forwarder.EpicsKafkaForwarder',
description='Monitors the status of the Forwarder',
statustopic='UTGARD_forwarderStatus',
brokers=['172.30.242.20:9092']),
)
| 30.9 | 59 | 0.68932 |
6e83557731c2fd4923e8fa481bc7d1048e5e106e | 985 | py | Python | codetree/cli.py | slank/codetree | c1aad059ad31aa1b3cca80a89861c659fce217ac | [
"MIT"
] | 2 | 2015-03-16T11:46:28.000Z | 2017-04-01T13:58:47.000Z | codetree/cli.py | slank/codetree | c1aad059ad31aa1b3cca80a89861c659fce217ac | [
"MIT"
] | null | null | null | codetree/cli.py | slank/codetree | c1aad059ad31aa1b3cca80a89861c659fce217ac | [
"MIT"
] | null | null | null | from argparse import ArgumentParser
import logging
from .config import Config
import sys
| 30.78125 | 82 | 0.655838 |
6e85d5b6b7bc4a9b52702783da32bcd642bd2255 | 5,862 | py | Python | notebooks/utils.py | cognoma/ml-workers | 781763c8361d49023222c7349350c3c4774ce4fa | [
"BSD-3-Clause"
] | null | null | null | notebooks/utils.py | cognoma/ml-workers | 781763c8361d49023222c7349350c3c4774ce4fa | [
"BSD-3-Clause"
] | 13 | 2017-01-31T22:54:03.000Z | 2021-02-02T21:42:33.000Z | notebooks/utils.py | cognoma/ml-workers | 781763c8361d49023222c7349350c3c4774ce4fa | [
"BSD-3-Clause"
] | 7 | 2017-06-29T14:19:11.000Z | 2018-04-08T12:06:21.000Z | """
Methods for building Cognoma mutation classifiers
Usage - Import only
"""
import pandas as pd
from sklearn.metrics import roc_curve, roc_auc_score
import plotnine as gg
def get_model_coefficients(classifier, feature_set, covariate_names):
"""
Extract the feature names and associate them with the coeffi... | 42.788321 | 85 | 0.638519 |
6e85eafe88b2abc4b10f2eb6623ed07ecab6567b | 1,740 | py | Python | docs/fossil-help-cmd.py | smitty1eGH/pyphlogiston | 5134be190cdb31ace04ac5ce2e699a48e54e036e | [
"MIT"
] | null | null | null | docs/fossil-help-cmd.py | smitty1eGH/pyphlogiston | 5134be190cdb31ace04ac5ce2e699a48e54e036e | [
"MIT"
] | null | null | null | docs/fossil-help-cmd.py | smitty1eGH/pyphlogiston | 5134be190cdb31ace04ac5ce2e699a48e54e036e | [
"MIT"
] | null | null | null | from subprocess import run
cmds = [
"3-way-merge",
"ci",
"help",
"push",
"stash",
"add",
"clean",
"hook",
"rebuild",
"status",
"addremove",
"clone",
"http",
"reconstruct",
"sync",
"alerts",
"close",
"import",
"redo",
"tag",
"all",
... | 14.745763 | 77 | 0.440805 |
6e89094dd4c599ed774bc54e2865f3ed2293d233 | 257 | bzl | Python | internal/copts.bzl | zaucy/bzlws | a8f3e4b0bc168059ec92971b1ea7c214db2c5454 | [
"MIT"
] | 4 | 2021-07-21T01:43:50.000Z | 2021-11-18T03:23:18.000Z | internal/copts.bzl | zaucy/bzlws | a8f3e4b0bc168059ec92971b1ea7c214db2c5454 | [
"MIT"
] | null | null | null | internal/copts.bzl | zaucy/bzlws | a8f3e4b0bc168059ec92971b1ea7c214db2c5454 | [
"MIT"
] | 1 | 2022-02-03T07:53:17.000Z | 2022-02-03T07:53:17.000Z | _msvc_copts = ["/std:c++17"]
_clang_cl_copts = ["/std:c++17"]
_gcc_copts = ["-std=c++17"]
copts = select({
"@bazel_tools//tools/cpp:msvc": _msvc_copts,
"@bazel_tools//tools/cpp:clang-cl": _clang_cl_copts,
"//conditions:default": _gcc_copts,
})
| 25.7 | 56 | 0.649805 |
6e8aa5fdaccdc2cf8e079b7b4e650e213a55472a | 1,154 | py | Python | monitor.py | projectsbyif/trillian-demo-audit | 5bb08ae3c359698d8beb47ced39d21e793539396 | [
"Apache-2.0"
] | null | null | null | monitor.py | projectsbyif/trillian-demo-audit | 5bb08ae3c359698d8beb47ced39d21e793539396 | [
"Apache-2.0"
] | 1 | 2021-06-02T02:13:46.000Z | 2021-06-02T02:13:46.000Z | monitor.py | projectsbyif/trillian-demo-audit | 5bb08ae3c359698d8beb47ced39d21e793539396 | [
"Apache-2.0"
] | null | null | null | import logging
import sys
from trillian import TrillianLog
from print_helper import Print
from pprint import pprint
if __name__ == '__main__':
main(sys.argv)
| 26.227273 | 70 | 0.707972 |
6e8b21d90213008722c8b31b5d6059ea9e59aa07 | 875 | py | Python | src/geocurrency/units/urls.py | OpenPrunus/geocurrency | 23cc075377d47ac631634cd71fd0e7d6b0a57bad | [
"MIT"
] | 5 | 2021-01-28T16:45:49.000Z | 2021-08-15T06:47:17.000Z | src/geocurrency/units/urls.py | OpenPrunus/geocurrency | 23cc075377d47ac631634cd71fd0e7d6b0a57bad | [
"MIT"
] | 8 | 2020-10-01T15:12:45.000Z | 2021-10-05T14:45:33.000Z | src/geocurrency/units/urls.py | OpenPrunus/geocurrency | 23cc075377d47ac631634cd71fd0e7d6b0a57bad | [
"MIT"
] | 2 | 2021-01-28T16:43:16.000Z | 2021-10-05T14:25:25.000Z | """
Units module URLs
"""
from django.conf.urls import url, include
from django.urls import path
from rest_framework import routers
from .viewsets import UnitSystemViewset, UnitViewset, \
ConvertView, CustomUnitViewSet
from geocurrency.calculations.viewsets import ValidateViewSet, CalculationView
app_name = 'uni... | 31.25 | 78 | 0.726857 |
6e8ba5d71602dfafef83788dd25424753fb81302 | 22 | py | Python | rtk/_reports_/__init__.py | rakhimov/rtk | adc35e218ccfdcf3a6e3082f6a1a1d308ed4ff63 | [
"BSD-3-Clause"
] | null | null | null | rtk/_reports_/__init__.py | rakhimov/rtk | adc35e218ccfdcf3a6e3082f6a1a1d308ed4ff63 | [
"BSD-3-Clause"
] | null | null | null | rtk/_reports_/__init__.py | rakhimov/rtk | adc35e218ccfdcf3a6e3082f6a1a1d308ed4ff63 | [
"BSD-3-Clause"
] | 2 | 2020-04-03T04:14:42.000Z | 2021-02-22T05:30:35.000Z | from tabular import *
| 11 | 21 | 0.772727 |
6e8c6eb072fed5f8eeeb59211773c40061897cf1 | 383 | py | Python | backend/urls.py | starmarek/organize-me-2 | bd9b73d3e6d9a4ebc4cbb8a20c97729bdc6b1377 | [
"MIT"
] | 1 | 2021-03-09T20:49:51.000Z | 2021-03-09T20:49:51.000Z | backend/urls.py | starmarek/organize-me-2 | bd9b73d3e6d9a4ebc4cbb8a20c97729bdc6b1377 | [
"MIT"
] | 7 | 2021-05-08T11:05:15.000Z | 2021-05-08T11:12:27.000Z | backend/urls.py | starmarek/organize-me-2 | bd9b73d3e6d9a4ebc4cbb8a20c97729bdc6b1377 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import include, path
from rest_framework import routers
from .shifts.views import ShiftView
from .workers.views import WorkerView
router = routers.DefaultRouter()
router.register("workers", WorkerView)
router.register("shifts", ShiftView)
urlpatterns = [
path("ad... | 23.9375 | 38 | 0.762402 |
6e8d075cdc130105dd93cb71efed865a3cfcfbc8 | 257 | py | Python | ssk/alpha/api.py | jobliz/solid-state-kinetics | c5767b400b19bd0256c806001664f0b369718bab | [
"MIT"
] | 2 | 2017-03-08T21:32:11.000Z | 2017-07-19T03:27:18.000Z | ssk/alpha/api.py | jobliz/solid-state-kinetics | c5767b400b19bd0256c806001664f0b369718bab | [
"MIT"
] | null | null | null | ssk/alpha/api.py | jobliz/solid-state-kinetics | c5767b400b19bd0256c806001664f0b369718bab | [
"MIT"
] | null | null | null | from __future__ import division
import numpy as np
from scipy import integrate
__all__ = ['area', 'simple']
| 17.133333 | 72 | 0.669261 |
6e8f20f780d781f8cdc23f8a2e62a4a9d0aaaf14 | 6,451 | py | Python | randominette.py | Dutesier/randominette | 2260c0f521d9fcc97f30a8cceb36c94dbee3d474 | [
"MIT"
] | null | null | null | randominette.py | Dutesier/randominette | 2260c0f521d9fcc97f30a8cceb36c94dbee3d474 | [
"MIT"
] | null | null | null | randominette.py | Dutesier/randominette | 2260c0f521d9fcc97f30a8cceb36c94dbee3d474 | [
"MIT"
] | 2 | 2022-01-19T00:27:59.000Z | 2022-01-19T03:46:21.000Z | # **************************************************************************** #
# #
# ::: :::::::: #
# randominette.py :+: :+: :+: ... | 38.39881 | 148 | 0.509068 |
6e918c5815dd4774b7932aa1ec3b9fffa1176641 | 750 | py | Python | newsman/factories.py | acapitanelli/newsman | 3f109f42afe6131383fba1e118b7b9457d76096b | [
"MIT"
] | null | null | null | newsman/factories.py | acapitanelli/newsman | 3f109f42afe6131383fba1e118b7b9457d76096b | [
"MIT"
] | null | null | null | newsman/factories.py | acapitanelli/newsman | 3f109f42afe6131383fba1e118b7b9457d76096b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""This module provides a way to initialize components for processing
pipeline.
Init functions are stored into a dictionary which can be used by `Pipeline` to
load components on demand.
"""
from .pipeline import Byte2html, Html2text, Html2image, Html2meta, Text2title
def build_factories():
... | 32.608696 | 78 | 0.698667 |
6e91c4809b083bd8e190189c7a4286818bc08e69 | 3,673 | py | Python | deprecated.py | thu-fit/DCGAN-anime | da549bd45a6ca3c4c5a8894945d3242c59f823a0 | [
"MIT"
] | null | null | null | deprecated.py | thu-fit/DCGAN-anime | da549bd45a6ca3c4c5a8894945d3242c59f823a0 | [
"MIT"
] | null | null | null | deprecated.py | thu-fit/DCGAN-anime | da549bd45a6ca3c4c5a8894945d3242c59f823a0 | [
"MIT"
] | null | null | null |
def sampler(self, z, y=None):
'''generate iamge given z'''
with tf.variable_scope("generator") as scope:
# we hope the weights defined in generator to be reused
scope.reuse_variables()
if not self.y_dim:
s_h, s_w = self.output_height, self.output_width
s_h2, s_w2 = conv_ou... | 39.494624 | 103 | 0.613395 |
6e922f24956d34276912f3a429414da7e22eb9ef | 14,915 | py | Python | Prioritize/get_HPO_similarity_score.py | mbosio85/ediva | c0a1aa4dd8951fa659483164c3706fb9374beb95 | [
"MIT"
] | 1 | 2021-02-23T07:42:42.000Z | 2021-02-23T07:42:42.000Z | Prioritize/get_HPO_similarity_score.py | mbosio85/ediva | c0a1aa4dd8951fa659483164c3706fb9374beb95 | [
"MIT"
] | null | null | null | Prioritize/get_HPO_similarity_score.py | mbosio85/ediva | c0a1aa4dd8951fa659483164c3706fb9374beb95 | [
"MIT"
] | 1 | 2019-09-26T01:21:06.000Z | 2019-09-26T01:21:06.000Z | ## how we measure the similarity between two lists w/ IC per each node
## we have a DAG strucutre
## goal is for each Gene !! output a 'semantic distance'
# based on https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2756558/ [but different]
# with this two equal nodes will have distance '0'
# maximum distance is -2log(1/... | 32.852423 | 158 | 0.578947 |
6e942a1e8c0fd4f03d779fd36629d8f97651ff14 | 364 | py | Python | tests/tfgraph/utils/test_datasets.py | tfgraph/tfgraph | 19ae968b3060275c631dc601757646abaf1f58a1 | [
"Apache-2.0"
] | 4 | 2017-07-23T13:48:35.000Z | 2021-12-03T18:11:50.000Z | tests/tfgraph/utils/test_datasets.py | tfgraph/tfgraph | 19ae968b3060275c631dc601757646abaf1f58a1 | [
"Apache-2.0"
] | 21 | 2017-07-23T13:15:20.000Z | 2020-09-28T02:13:11.000Z | tests/tfgraph/utils/test_datasets.py | tfgraph/tfgraph | 19ae968b3060275c631dc601757646abaf1f58a1 | [
"Apache-2.0"
] | 1 | 2017-07-28T10:28:04.000Z | 2017-07-28T10:28:04.000Z | import tfgraph
| 24.266667 | 81 | 0.653846 |
6e94f020370af25596b5a73fe263fae2cf996278 | 668 | py | Python | deploy/virenv/lib/python2.7/site-packages/haystack/outputters/__init__.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | null | null | null | deploy/virenv/lib/python2.7/site-packages/haystack/outputters/__init__.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | null | null | null | deploy/virenv/lib/python2.7/site-packages/haystack/outputters/__init__.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
:mod:`haystack.outputs` -- classes that create an output
==============================================================================
"""
from haystack import utils
| 27.833333 | 85 | 0.591317 |
6e9649858a66821226a8387a5c2ae25467b9d1c9 | 631 | py | Python | adminmgr/media/code/python/red3/BD_543_565_624_reducer.py | IamMayankThakur/test-bigdata | cef633eb394419b955bdce479699d0115d8f99c3 | [
"Apache-2.0"
] | 9 | 2019-11-08T02:05:27.000Z | 2021-12-13T12:06:35.000Z | adminmgr/media/code/config/BD_543_565_624_reducer.py | IamMayankThakur/test-bigdata | cef633eb394419b955bdce479699d0115d8f99c3 | [
"Apache-2.0"
] | 6 | 2019-11-27T03:23:16.000Z | 2021-06-10T19:15:13.000Z | adminmgr/media/code/python/red3/BD_543_565_624_reducer.py | IamMayankThakur/test-bigdata | cef633eb394419b955bdce479699d0115d8f99c3 | [
"Apache-2.0"
] | 4 | 2019-11-26T17:04:27.000Z | 2021-12-13T11:57:03.000Z | #!/usr/bin/python3
import sys
# f=open("reduce3.csv","w+")
di={}
for y in sys.stdin:
Record=list(map(str,y.split(",")))
if(len(Record)>3):
Record=[Record[0]+","+Record[1],Record[2],Record[3]]
s=int(Record[2][:-1])
if (Record[0],Record[1]) not in di:
di[(Record[0],Record[1])]=[s,1]
else:
di[(Record[0],Record[... | 24.269231 | 54 | 0.557845 |
6e9740ebd2a997095586f788ec3e7c7b37619818 | 9,622 | py | Python | hbgd_data_store_server/studies/management/commands/load_idx.py | pcstout/study-explorer | b49a6853d8155f1586360138ed7f87d165793184 | [
"Apache-2.0"
] | 2 | 2019-04-02T14:31:27.000Z | 2020-04-13T20:41:46.000Z | hbgd_data_store_server/studies/management/commands/load_idx.py | pcstout/study-explorer | b49a6853d8155f1586360138ed7f87d165793184 | [
"Apache-2.0"
] | 7 | 2019-08-07T14:44:54.000Z | 2020-06-05T17:30:51.000Z | hbgd_data_store_server/studies/management/commands/load_idx.py | pcstout/study-explorer | b49a6853d8155f1586360138ed7f87d165793184 | [
"Apache-2.0"
] | 1 | 2019-03-27T01:32:30.000Z | 2019-03-27T01:32:30.000Z | # Copyright 2017-present, Bill & Melinda Gates Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 35.902985 | 84 | 0.610788 |
6e97ddc9ef075e7d004c1410ff22b946e2b0175d | 1,937 | py | Python | setup.py | hojinYang/neureca | b1eb7246b731b7a0c7264b47c1c27239b9fe1224 | [
"Apache-2.0"
] | 7 | 2021-08-24T14:34:33.000Z | 2021-12-10T12:43:50.000Z | setup.py | hojinYang/neureca | b1eb7246b731b7a0c7264b47c1c27239b9fe1224 | [
"Apache-2.0"
] | null | null | null | setup.py | hojinYang/neureca | b1eb7246b731b7a0c7264b47c1c27239b9fe1224 | [
"Apache-2.0"
] | 1 | 2021-09-10T17:50:38.000Z | 2021-09-10T17:50:38.000Z | from setuptools import setup, find_packages
with open("README.md", encoding="utf-8") as f:
long_description = f.read()
setup(
name="neureca",
version="0.0.1",
description="A framework for building conversational recommender systems",
long_description=long_description,
long_description_content_... | 32.283333 | 89 | 0.565823 |
6e98642f2b6b958a07ac0e545cf862d4394aa56c | 786 | py | Python | Thread.PY/thread-rlock.py | Phoebus-Ma/Python-Helper | d880729f0bbfbc2b1503602fd74c9177ecd4e970 | [
"MIT"
] | null | null | null | Thread.PY/thread-rlock.py | Phoebus-Ma/Python-Helper | d880729f0bbfbc2b1503602fd74c9177ecd4e970 | [
"MIT"
] | null | null | null | Thread.PY/thread-rlock.py | Phoebus-Ma/Python-Helper | d880729f0bbfbc2b1503602fd74c9177ecd4e970 | [
"MIT"
] | null | null | null | ###
# Thread rlock test.
#
# License - MIT.
###
import time
from threading import Thread, RLock
# thread_test2 - Thread test2 function.
# }
# thread_test1 - Thread test1 function.
# }
# Main function.
# }
# Program entry.
if '__main__' == __name__:
main()
| 14.290909 | 64 | 0.619593 |
6e98aa2320fefc8b613e9eb26ab879e97d03ea24 | 1,319 | py | Python | api/python/tests/test_bingo_nosql.py | tsingdao-Tp/Indigo | b2d73faebb6a450e9b3d34fed553fad4f9d0012f | [
"Apache-2.0"
] | 204 | 2015-11-06T21:34:34.000Z | 2022-03-30T16:17:01.000Z | api/python/tests/test_bingo_nosql.py | tsingdao-Tp/Indigo | b2d73faebb6a450e9b3d34fed553fad4f9d0012f | [
"Apache-2.0"
] | 509 | 2015-11-05T13:54:43.000Z | 2022-03-30T22:15:30.000Z | api/python/tests/test_bingo_nosql.py | tsingdao-Tp/Indigo | b2d73faebb6a450e9b3d34fed553fad4f9d0012f | [
"Apache-2.0"
] | 89 | 2015-11-17T08:22:54.000Z | 2022-03-17T04:26:28.000Z | import shutil
import tempfile
from indigo.bingo import Bingo
from tests import TestIndigoBase
| 33.820513 | 87 | 0.64746 |
6e9910237b294e11a1a1bbded611300e71f69a4f | 3,932 | py | Python | src/core/src/tortuga/scripts/get_kit.py | sutasu/tortuga | 48d7cde4fa652346600b217043b4a734fa2ba455 | [
"Apache-2.0"
] | 33 | 2018-03-02T17:07:39.000Z | 2021-05-21T18:02:51.000Z | src/core/src/tortuga/scripts/get_kit.py | sutasu/tortuga | 48d7cde4fa652346600b217043b4a734fa2ba455 | [
"Apache-2.0"
] | 201 | 2018-03-05T14:28:24.000Z | 2020-11-23T19:58:27.000Z | src/core/src/tortuga/scripts/get_kit.py | sutasu/tortuga | 48d7cde4fa652346600b217043b4a734fa2ba455 | [
"Apache-2.0"
] | 23 | 2018-03-02T17:21:59.000Z | 2020-11-18T14:52:38.000Z | # Copyright 2008-2018 Univa Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 31.96748 | 74 | 0.559003 |
6e99d90082f82cff092fcb68582087a7ab692e17 | 2,264 | py | Python | examples.py | ThyagoFRTS/power-eletric | dd26cd5ffb2aca0741d8983e57351488badc64da | [
"MIT"
] | 1 | 2021-11-07T02:31:58.000Z | 2021-11-07T02:31:58.000Z | examples.py | ThyagoFRTS/power-eletric | dd26cd5ffb2aca0741d8983e57351488badc64da | [
"MIT"
] | null | null | null | examples.py | ThyagoFRTS/power-eletric | dd26cd5ffb2aca0741d8983e57351488badc64da | [
"MIT"
] | null | null | null | from power_sizing import calculate_power_luminance
from power_sizing import calculate_number_and_power_of_tugs
from conductor_sizing import conduction_capacity
from conductor_sizing import minimum_section
from conductor_sizing import voltage_drop
from conductor_sizing import harmonic_rate
from neutral_sizing import get... | 48.170213 | 153 | 0.774293 |
6e9df45528e4294de8ca5838baa62293adbb002d | 784 | py | Python | myapp/migrations/0008_doctordata_specialist.py | sarodemayur55/Hospital_Management_Website | a90e64d2b02482d7ad69a807365bdc0abfca4212 | [
"Apache-2.0"
] | 1 | 2022-02-08T16:37:43.000Z | 2022-02-08T16:37:43.000Z | myapp/migrations/0008_doctordata_specialist.py | sarodemayur55/Hospital_Management_Website | a90e64d2b02482d7ad69a807365bdc0abfca4212 | [
"Apache-2.0"
] | null | null | null | myapp/migrations/0008_doctordata_specialist.py | sarodemayur55/Hospital_Management_Website | a90e64d2b02482d7ad69a807365bdc0abfca4212 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.1.6 on 2021-05-15 11:46
from django.db import migrations, models
| 27.034483 | 83 | 0.53699 |
6e9f10181a7ecfeffe5b3e63362769aa8677cc14 | 12,338 | py | Python | eventide/message.py | blakev/python-eventide | ef547a622c52eec8acb9d7ca4cc01fae0ab7bad0 | [
"MIT"
] | 1 | 2021-01-14T18:35:44.000Z | 2021-01-14T18:35:44.000Z | eventide/message.py | blakev/python-eventide | ef547a622c52eec8acb9d7ca4cc01fae0ab7bad0 | [
"MIT"
] | null | null | null | eventide/message.py | blakev/python-eventide | ef547a622c52eec8acb9d7ca4cc01fae0ab7bad0 | [
"MIT"
] | 2 | 2021-04-20T22:09:02.000Z | 2021-07-29T21:52:30.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# >>
# python-eventide, 2020
# LiveViewTech
# <<
from uuid import UUID, uuid4
from datetime import datetime
from operator import attrgetter
from functools import total_ordering
from dataclasses import (
field,
asdict,
fields,
dataclass,
_process_... | 33.710383 | 92 | 0.623197 |
6e9f30208ea04fa7ad96c88e5f93a7fce170ab1e | 10,926 | py | Python | utils/minifier.py | MateuszDabrowski/elquent | 9ff9c57d01a8ade7ebc7a903f228d4b7ed7324c4 | [
"MIT"
] | 4 | 2021-05-26T19:48:31.000Z | 2022-03-01T03:52:39.000Z | utils/minifier.py | MateuszDabrowski/ELQuent | 9ff9c57d01a8ade7ebc7a903f228d4b7ed7324c4 | [
"MIT"
] | null | null | null | utils/minifier.py | MateuszDabrowski/ELQuent | 9ff9c57d01a8ade7ebc7a903f228d4b7ed7324c4 | [
"MIT"
] | 3 | 2021-03-05T23:06:38.000Z | 2021-10-05T19:56:28.000Z | #!/usr/bin/env python3.6
# -*- coding: utf8 -*-
'''
ELQuent.minifier
E-mail code minifier
Mateusz Dbrowski
github.com/MateuszDabrowski
linkedin.com/in/mateusz-dabrowski-marketing/
'''
import os
import re
import sys
import json
import pyperclip
from colorama import Fore, Style, init
# ELQuent imports
import utils.ap... | 33.618462 | 116 | 0.532857 |
6ea22002e9ef59fb7dc0ae80af6cf9fc57e8fc02 | 2,305 | py | Python | doc/conf.py | safay/uta | bf3cf5a531aec4cca61f8926e79a624d01c76682 | [
"Apache-2.0"
] | 48 | 2016-09-20T16:28:46.000Z | 2022-02-02T10:32:02.000Z | doc/conf.py | safay/uta | bf3cf5a531aec4cca61f8926e79a624d01c76682 | [
"Apache-2.0"
] | 45 | 2016-12-12T23:41:12.000Z | 2022-02-09T11:48:04.000Z | doc/conf.py | safay/uta | bf3cf5a531aec4cca61f8926e79a624d01c76682 | [
"Apache-2.0"
] | 20 | 2016-10-09T10:16:44.000Z | 2021-06-18T02:19:58.000Z | ############################################################################
# Theme setup
html_theme = 'invitae'
html_theme_path = ['themes']
if html_theme == 'sphinx_rtd_theme':
import sphinx_rtd_theme
html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
elif html_theme == 'bootstrap':
import sphi... | 29.935065 | 77 | 0.647722 |
6ea3527b6763af10afefd4e777c572e2ac4172fc | 997 | py | Python | exercises_gustguan/ex113.py | Ewerton12F/Python-Notebook | 85c4d38c35c6063fb475c25ebf4645688ec9dbcb | [
"MIT"
] | null | null | null | exercises_gustguan/ex113.py | Ewerton12F/Python-Notebook | 85c4d38c35c6063fb475c25ebf4645688ec9dbcb | [
"MIT"
] | null | null | null | exercises_gustguan/ex113.py | Ewerton12F/Python-Notebook | 85c4d38c35c6063fb475c25ebf4645688ec9dbcb | [
"MIT"
] | null | null | null |
li = leiaInt('Digite um nmero inteiro: ')
lr = leiaFloat('Digite um nmero real: ')
print(f'\033[1;3;34mO valor inteiro foi {li} e o real foi {lr}.\033[0;0;0m') | 33.233333 | 93 | 0.565697 |
6ea43d3eb6ab1823ba2e818e55cba7f4297fc931 | 10,851 | py | Python | frameworks/kafka/tests/auth.py | minyk/dcos-activemq | 57a0cf01053a7e2dc59020ed5cbb93f0d1c9cff1 | [
"Apache-2.0"
] | null | null | null | frameworks/kafka/tests/auth.py | minyk/dcos-activemq | 57a0cf01053a7e2dc59020ed5cbb93f0d1c9cff1 | [
"Apache-2.0"
] | null | null | null | frameworks/kafka/tests/auth.py | minyk/dcos-activemq | 57a0cf01053a7e2dc59020ed5cbb93f0d1c9cff1 | [
"Apache-2.0"
] | null | null | null | import json
import logging
import retrying
import sdk_cmd
LOG = logging.getLogger(__name__)
def wait_for_brokers(client: str, brokers: list):
"""
Run bootstrap on the specified client to resolve the list of brokers
"""
LOG.info("Running bootstrap to wait for DNS resolution")
bootstrap_cmd = ['/o... | 35.345277 | 117 | 0.599853 |
6ea45f9b51639f8a0b82e891df2cc0bae0501648 | 1,242 | py | Python | python/problem-060.py | mbuhot/mbuhot-euler-solutions | 30066543cfd2d84976beb0605839750b64f4b8ef | [
"MIT"
] | 1 | 2015-12-18T13:25:41.000Z | 2015-12-18T13:25:41.000Z | python/problem-060.py | mbuhot/mbuhot-euler-solutions | 30066543cfd2d84976beb0605839750b64f4b8ef | [
"MIT"
] | null | null | null | python/problem-060.py | mbuhot/mbuhot-euler-solutions | 30066543cfd2d84976beb0605839750b64f4b8ef | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
import prime
description = '''
Prime pair sets
Problem 60
The primes 3, 7, 109, and 673, are quite remarkable. By taking any two primes and concatenating them in any order the result will always be prime. For example, taking 7 and 109, both 7109 and 1097 are prime. The sum of these four primes... | 29.571429 | 313 | 0.681159 |
6ea54be459981a2401f315126f120b27aa749589 | 5,298 | py | Python | multilanguage_frappe_website/hooks.py | developmentforpeople/frappe-multilingual-website | c0bf74453f3d1de6127ad174aab6c05360cc1ec1 | [
"MIT"
] | null | null | null | multilanguage_frappe_website/hooks.py | developmentforpeople/frappe-multilingual-website | c0bf74453f3d1de6127ad174aab6c05360cc1ec1 | [
"MIT"
] | null | null | null | multilanguage_frappe_website/hooks.py | developmentforpeople/frappe-multilingual-website | c0bf74453f3d1de6127ad174aab6c05360cc1ec1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from . import __version__ as app_version
app_name = "multilanguage_frappe_website"
app_title = "Multilanguage Frappe Website"
app_publisher = "DFP developmentforpeople"
app_description = "Multilanguage Frappe Framework website example"
app_icon = "octicon... | 29.597765 | 99 | 0.714232 |
6ea56221c4382d050ea20b187d845407bd8d039d | 90 | py | Python | renormalizer/mps/tdh/__init__.py | liwt31/Renormalizer | 123a9d53f4f5f32c0088c255475f0ee60d02c745 | [
"Apache-2.0"
] | null | null | null | renormalizer/mps/tdh/__init__.py | liwt31/Renormalizer | 123a9d53f4f5f32c0088c255475f0ee60d02c745 | [
"Apache-2.0"
] | null | null | null | renormalizer/mps/tdh/__init__.py | liwt31/Renormalizer | 123a9d53f4f5f32c0088c255475f0ee60d02c745 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from renormalizer.mps.tdh.propagation import unitary_propagation
| 22.5 | 64 | 0.755556 |
6ea5d0975fd4eec1bb06ec6bc86c9a210abd074c | 398 | py | Python | items/Boots_Of_Speed.py | ivoryhuang/LOL_simple_text_version | 13c98721ad094c4eb6b835c838805c77dc9075c5 | [
"MIT"
] | 2 | 2017-01-08T15:53:49.000Z | 2017-01-19T17:24:53.000Z | items/Boots_Of_Speed.py | ivoryhuang/LOL_simple_text_version | 13c98721ad094c4eb6b835c838805c77dc9075c5 | [
"MIT"
] | null | null | null | items/Boots_Of_Speed.py | ivoryhuang/LOL_simple_text_version | 13c98721ad094c4eb6b835c838805c77dc9075c5 | [
"MIT"
] | null | null | null | from items.Item import Item | 28.428571 | 75 | 0.701005 |
6ea618363d6a6f275346b95643dd61b27b8e3d12 | 12,045 | py | Python | RsNet/train_models.py | gehuangyi20/random_spiking | c98b550420ae4061b9d47ca475e86c981caf5514 | [
"MIT"
] | 1 | 2020-08-03T17:47:40.000Z | 2020-08-03T17:47:40.000Z | RsNet/train_models.py | gehuangyi20/random_spiking | c98b550420ae4061b9d47ca475e86c981caf5514 | [
"MIT"
] | null | null | null | RsNet/train_models.py | gehuangyi20/random_spiking | c98b550420ae4061b9d47ca475e86c981caf5514 | [
"MIT"
] | null | null | null | ## train_models.py -- train the neural network models for attacking
##
## Copyright (C) 2016, Nicholas Carlini <nicholas@carlini.com>.
##
## This program is licenced under the BSD 2-Clause licence,
## contained in the LICENCE file in this directory.
## Modified for the needs of MagNet.
import os
import argparse
impor... | 47.235294 | 118 | 0.703778 |
6ea71b4513f1f9f11b82f5034de5e9e21242e450 | 3,151 | py | Python | link_crawler.py | Stevearzh/greedy-spider | ca8b1d892e4ac5066ab33aafe7755ee959ef630a | [
"MIT"
] | null | null | null | link_crawler.py | Stevearzh/greedy-spider | ca8b1d892e4ac5066ab33aafe7755ee959ef630a | [
"MIT"
] | null | null | null | link_crawler.py | Stevearzh/greedy-spider | ca8b1d892e4ac5066ab33aafe7755ee959ef630a | [
"MIT"
] | null | null | null | import datetime
import re
import time
import urllib
from urllib import robotparser
from urllib.request import urlparse
from downloader import Downloader
DEFAULT_DELAY = 5
DEFAULT_DEPTH = -1
DEFAULT_URL = -1
DEFAULT_AGENT = 'wswp'
DEFAULT_RETRY = 1
DEFAULT_TIMEOUT = 60
DEFAULT_IGNORE_ROBOTS = False
def link_crawler... | 28.645455 | 100 | 0.668042 |
6ea734988dbfada1408954f978d47bd46b1b2de0 | 1,994 | py | Python | Array.diff.py | ErosMLima/last-classes-js-py-node-php | 14775adaa3372c03c1e73d0699516f759e162dc5 | [
"MIT"
] | 2 | 2020-08-01T03:31:28.000Z | 2021-02-02T15:17:31.000Z | Array.diff.py | ErosMLima/last-classes-js-py-node-php | 14775adaa3372c03c1e73d0699516f759e162dc5 | [
"MIT"
] | null | null | null | Array.diff.py | ErosMLima/last-classes-js-py-node-php | 14775adaa3372c03c1e73d0699516f759e162dc5 | [
"MIT"
] | null | null | null | #Array.diff.py OKS
function array_diff(a, b) {
return a.filter(function(x) { return b,index(x) == -1; });
}
#solution 2 for array,diff
function array_diff(a, b) {
return a.filter(e => !b.includes(e));
}
function array_diff(a, b) {
return a.filter(e => !b.includes(e));
}
#Bouncing Balls ok ... | 18.127273 | 76 | 0.587763 |