xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

429ce61086d20c4c1d15d20e5249184bf0cc61e3

4,714

py

Python

janus.py

caxmd/januus

79208e2450b4c5b1c81346b99814462f6d083b66

[ "MIT" ]

83

2017-12-11T03:33:10.000Z

2022-02-17T15:13:54.000Z

janus.py

caxmd/januus

79208e2450b4c5b1c81346b99814462f6d083b66

[ "MIT" ]

3

2017-12-25T16:15:44.000Z

2018-06-17T11:06:08.000Z

janus.py

caxmd/januus

79208e2450b4c5b1c81346b99814462f6d083b66

[ "MIT" ]

25

2017-12-11T03:51:12.000Z

2022-02-17T15:13:57.000Z

# Includes some code derived from the cpython project. # Source: https://github.com/python/cpython/blob/master/Lib/zipfile.py # Excuse the mess. import argparse from hashlib import sha1 import os import struct from zipfile import _EndRecData, ZipFile from zlib import adler32 _ECD_SIGNATURE = 0 _ECD_DISK_NUMBER = 1 _...

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429eedb68c601680755c430f3d242a23508963a5

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py

Python

test/gst-msdk/transcode/mpeg2.py

haribommi/vaapi-fits

cbf2a463bd3b2c9af5c45a1376b0bde2b703ed23

[ "BSD-3-Clause" ]

null

test/gst-msdk/transcode/mpeg2.py

haribommi/vaapi-fits

cbf2a463bd3b2c9af5c45a1376b0bde2b703ed23

[ "BSD-3-Clause" ]

null

test/gst-msdk/transcode/mpeg2.py

haribommi/vaapi-fits

cbf2a463bd3b2c9af5c45a1376b0bde2b703ed23

[ "BSD-3-Clause" ]

null

## ### Copyright (C) 2018-2019 Intel Corporation ### ### SPDX-License-Identifier: BSD-3-Clause ### from ....lib import * from ..util import * from .transcoder import TranscoderTest spec = load_test_spec("mpeg2", "transcode") class to_avc(TranscoderTest): @slash.requires(*have_gst_element("msdkh264enc")) @slash.re...

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42a05049df648190833a6dde333b459a1ed6a363

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py

Python

rusel/base/context.py

ruslan-ok/ruslan

fc402e53d2683581e13f4d6c69a6f21e5c2ca1f8

[ "MIT" ]

null

rusel/base/context.py

ruslan-ok/ruslan

fc402e53d2683581e13f4d6c69a6f21e5c2ca1f8

[ "MIT" ]

null

rusel/base/context.py

ruslan-ok/ruslan

fc402e53d2683581e13f4d6c69a6f21e5c2ca1f8

[ "MIT" ]

null

import os, time, mimetypes, glob from django.utils.translation import gettext_lazy as _ from django.urls import reverse from task.const import * from task.models import Task, detect_group from rusel.base.config import Config from rusel.base.forms import CreateGroupForm from rusel.context import get_base_context from ru...

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42a1c00f35b59908451cfee2563f53a899db2598

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py

Python

pygama/dsp/_processors/trap_filter.py

sweigart/pygama

3c5fe4c69230814933b2de879b9a305ff0d4ad5e

[ "Apache-2.0" ]

1

2022-01-19T14:31:56.000Z

pygama/dsp/_processors/trap_filter.py

sweigart/pygama

3c5fe4c69230814933b2de879b9a305ff0d4ad5e

[ "Apache-2.0" ]

1

2020-12-08T20:07:24.000Z

pygama/dsp/_processors/trap_filter.py

sweigart/pygama

3c5fe4c69230814933b2de879b9a305ff0d4ad5e

[ "Apache-2.0" ]

null

import numpy as np from numba import guvectorize @guvectorize(["void(float32[:], int32, int32, float32[:])", "void(float64[:], int32, int32, float64[:])", "void(int32[:], int32, int32, int32[:])", "void(int64[:], int32, int32, int64[:])"], "(n),(),()->(n)", nopyt...

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null

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null

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42a67cbf934d63272df061aa18d737365bf0fa29

5,109

py

Python

pilferer/engine.py

Sebastian-dm/pilferer

5126377154c7ba08fbea1a9dfad752bf8b1c72a9

[ "MIT" ]

null

pilferer/engine.py

Sebastian-dm/pilferer

5126377154c7ba08fbea1a9dfad752bf8b1c72a9

[ "MIT" ]

null

pilferer/engine.py

Sebastian-dm/pilferer

5126377154c7ba08fbea1a9dfad752bf8b1c72a9

[ "MIT" ]

null

import tcod from input_handlers import handle_keys from game_states import GameStates from render_functions import clear_all, render_all, RenderOrder from map_objects.game_map import GameMap from fov_functions import initialize_fov, recompute_fov from entity import Entity, get_blocking_entity_at_location from compon...

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42a6cbc1a232b14997c3952e709da0eebe84cd51

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py

Python

galaxy/api/v2/urls.py

SamyCoenen/galaxy

7c17ef45e53b0fc2fe8a2c70a99f3947604e0b0e

[ "Apache-2.0" ]

null

galaxy/api/v2/urls.py

SamyCoenen/galaxy

7c17ef45e53b0fc2fe8a2c70a99f3947604e0b0e

[ "Apache-2.0" ]

null

galaxy/api/v2/urls.py

SamyCoenen/galaxy

7c17ef45e53b0fc2fe8a2c70a99f3947604e0b0e

[ "Apache-2.0" ]

null

# (c) 2012-2019, Ansible by Red Hat # # This file is part of Ansible Galaxy # # Ansible Galaxy is free software: you can redistribute it and/or modify # it under the terms of the Apache License as published by # the Apache Software Foundation, either version 2 of the License, or # (at your option) any later version. # ...

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42a99e600220ea6f0c20b482db83263664318f69

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py

Python

resources/nuice_simulations/src/layers_sim/layers_sim_node.py

SpyGuyIan/NUice

47991a848dac244b4c476b4a92f7a27a1f9e5dcc

[ "MIT" ]

1

2021-08-17T00:40:42.000Z

resources/nuice_simulations/src/layers_sim/layers_sim_node.py

SpyGuyIan/NUice

47991a848dac244b4c476b4a92f7a27a1f9e5dcc

[ "MIT" ]

1

2021-01-31T17:15:40.000Z

resources/nuice_simulations/src/layers_sim/layers_sim_node.py

NUMarsIce/NUice

47991a848dac244b4c476b4a92f7a27a1f9e5dcc

[ "MIT" ]

null

#!/usr/bin/env python import rospy from std_msgs.msg import Float64 import random possibleLayers = [140, 50, 80, 200, 100] cur_position = 0.0 def position_callback(msg): global cur_position cur_position = msg.data #Build the layers simulation, then publish material strengths. Lasts 100 seconds. def runLayers...

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null

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0

42a9d7f0de1fb5aee832bc5e97c48ecbdecd3930

10,460

py

Python

scripts/pos_eval.py

ProKil/sparse-text-prototype

e7369dc981fb2c2a94ccb4edca4a7e7c7d7543cd

[ "MIT" ]

19

2020-11-05T12:17:45.000Z

2021-11-17T08:43:50.000Z

scripts/pos_eval.py

ProKil/sparse-text-prototype

e7369dc981fb2c2a94ccb4edca4a7e7c7d7543cd

[ "MIT" ]

1

2021-07-08T13:30:15.000Z

scripts/pos_eval.py

ProKil/sparse-text-prototype

e7369dc981fb2c2a94ccb4edca4a7e7c7d7543cd

[ "MIT" ]

2

2020-12-20T13:19:14.000Z

2021-06-25T20:18:00.000Z

import os import argparse import subprocess import random import edlib from typing import List from collections import Counter import stanza class ExtractMetric(object): """used for precision recall""" def __init__(self, nume=0, denom_p=0, denom_r=0, precision=0, recall=0, f1=0): super(ExtractMetric, ...

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42ab9f264f4ecd8a53e0ce06b3bb77538b433100

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py

Python

src/wa_kat/templates/static/js/Lib/site-packages/components/keyword_handler.py

WebArchivCZ/WA-KAT

719f7607222f5a4d917c535b2da6371184222101

[ "MIT" ]

3

2017-03-23T12:59:21.000Z

2017-11-22T08:23:14.000Z

src/wa_kat/templates/static/js/Lib/site-packages/components/keyword_handler.py

WebArchivCZ/WA-KAT

719f7607222f5a4d917c535b2da6371184222101

[ "MIT" ]

89

2015-06-28T22:10:28.000Z

2017-01-30T16:06:05.000Z

src/wa_kat/templates/static/js/Lib/site-packages/components/keyword_handler.py

WebarchivCZ/WA-KAT

719f7607222f5a4d917c535b2da6371184222101

[ "MIT" ]

1

2015-12-17T02:56:59.000Z

#! /usr/bin/env python # -*- coding: utf-8 -*- # # Interpreter version: brython (http://brython.info) (like python3) # # Imports ===================================================================== from os.path import join from browser import window from browser import document # virtual filesystem / modules provide...

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42b0f3205382f72fca408d985411165330e27a01

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py

Python

datahub/search/investment/models.py

alixedi/data-hub-api-cd-poc

a5e5ea45bb496c0d2a06635864514af0c7d4291a

[ "MIT" ]

null

datahub/search/investment/models.py

alixedi/data-hub-api-cd-poc

a5e5ea45bb496c0d2a06635864514af0c7d4291a

[ "MIT" ]

16

2020-04-01T15:25:35.000Z

2020-04-14T14:07:30.000Z

datahub/search/investment/models.py

alixedi/data-hub-api-cd-poc

a5e5ea45bb496c0d2a06635864514af0c7d4291a

[ "MIT" ]

null

from elasticsearch_dsl import Boolean, Date, Double, Integer, Keyword, Long, Object, Text from datahub.search import dict_utils from datahub.search import fields from datahub.search.models import BaseESModel DOC_TYPE = 'investment_project' def _related_investment_project_field(): """Field for a related investm...

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42b106aaf54e3b2c19e17572d5a63e648baf43b4

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py

Python

robust_sleep_net/models/modulo_net/features_encoder/fully_connected.py

Dreem-Organization/RobustSleepNet

c8ff3f6f857299eb2bf2e9400483084d5ecd4106

[ "MIT" ]

16

2021-04-06T14:04:45.000Z

2022-03-11T14:37:08.000Z

robust_sleep_net/models/modulo_net/features_encoder/fully_connected.py

Dreem-Organization/RobustSleepNet

c8ff3f6f857299eb2bf2e9400483084d5ecd4106

[ "MIT" ]

null

robust_sleep_net/models/modulo_net/features_encoder/fully_connected.py

Dreem-Organization/RobustSleepNet

c8ff3f6f857299eb2bf2e9400483084d5ecd4106

[ "MIT" ]

4

2021-06-10T06:48:33.000Z

2022-03-26T22:29:07.000Z

from collections import OrderedDict import torch from torch import nn class FullyConnected(nn.Module): def __init__(self, features, layers=None, dropout=0.0): super(FullyConnected, self).__init__() print("Layers:", layers) input_channels = 0 for feature in features: in...

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35e91cbc49c53f3ff38da3a05748e14783d919ce

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py

Python

data/rawdata_dataset.py

weiyw16/pytorch-CycleGAN-and-pix2pix

432a91ee6ca8dc606ba0116b27b0948abc48f295

[ "BSD-3-Clause" ]

null

data/rawdata_dataset.py

weiyw16/pytorch-CycleGAN-and-pix2pix

432a91ee6ca8dc606ba0116b27b0948abc48f295

[ "BSD-3-Clause" ]

null

data/rawdata_dataset.py

weiyw16/pytorch-CycleGAN-and-pix2pix

432a91ee6ca8dc606ba0116b27b0948abc48f295

[ "BSD-3-Clause" ]

null

#import import os #import torch #import torch.nn as nn import torch.utils.data as Data #import torchvision import matplotlib.pyplot as plt import h5py #from torch.autograd import Variable import numpy as np import torch class rawdataDataset(Data.Dataset): def __init__(self): super(rawdataDataset, self)...

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35f24e93301e26ad076b53b869df2630d390d615

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py

Python

lang/Python/compare-sorting-algorithms-performance-6.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

1

2018-11-09T22:08:38.000Z

lang/Python/compare-sorting-algorithms-performance-6.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

lang/Python/compare-sorting-algorithms-performance-6.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

1

2018-11-09T22:08:40.000Z

sort_functions = [ builtinsort, # see implementation above insertion_sort, # see [[Insertion sort]] insertion_sort_lowb, # ''insertion_sort'', where sequential search is replaced # by lower_bound() function qsort, # see [[Quicksort]] qsortranlc...

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35f445a5ba07dee2c2143db897f87a8a3259db16

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py

Python

server/organization/tests.py

NicholasNagy/ALTA

ca07627481ee91f2969b0fc8e8f15e2a37b3e992

[ "Apache-2.0" ]

3

2020-09-09T23:26:29.000Z

2020-10-17T22:58:34.000Z

server/organization/tests.py

NicholasNagy/ALTA

ca07627481ee91f2969b0fc8e8f15e2a37b3e992

[ "Apache-2.0" ]

294

2020-09-27T17:20:50.000Z

2021-06-23T01:44:09.000Z

server/organization/tests.py

NicholasNagy/ALTA

ca07627481ee91f2969b0fc8e8f15e2a37b3e992

[ "Apache-2.0" ]

10

2020-10-07T05:25:30.000Z

2021-05-01T05:32:59.000Z

from rest_framework import status from rest_framework.test import APITestCase from rest_framework.test import APIClient from django.db.models import signals import factory from user_account.models import CustomUser from .models import Organization class OrganizationTestCase(APITestCase): def setUp(self): ...

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35f52784cb920f6695ea0214e66ce046c4ba0969

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py

Python

flaskapp/routes.py

vijay0707/Send-Email-Flask

3e8f981c5ef4c4051f61b5229eb3e56a35142bc7

[ "MIT" ]

null

flaskapp/routes.py

vijay0707/Send-Email-Flask

3e8f981c5ef4c4051f61b5229eb3e56a35142bc7

[ "MIT" ]

null

flaskapp/routes.py

vijay0707/Send-Email-Flask

3e8f981c5ef4c4051f61b5229eb3e56a35142bc7

[ "MIT" ]

null

from flaskapp import app, db, mail from flask import render_template, url_for from flask import request, flash, redirect # from flaskapp.model import User from flaskapp.form import SurveyForm from flask_mail import Message @app.route('/', methods = ['POST', 'GET']) def form(): form = SurveyForm() if ...

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null

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35f678cde08c5ff864121819c46adfa1fdba45f0

887

py

Python

app/coordinates.py

krasch/simply_landmarks

8a5c3f2ff476377e44646a00e61b8287a53260e3

[ "MIT" ]

14

2020-02-03T22:30:48.000Z

2021-11-01T09:41:34.000Z

app/coordinates.py

krasch/simply_landmarks

8a5c3f2ff476377e44646a00e61b8287a53260e3

[ "MIT" ]

3

2020-11-28T17:24:28.000Z

2022-01-26T19:56:35.000Z

app/coordinates.py

krasch/simply_landmarks

8a5c3f2ff476377e44646a00e61b8287a53260e3

[ "MIT" ]

4

2020-10-11T21:26:53.000Z

2021-09-14T03:59:20.000Z

from pathlib import Path from PIL import Image # coordinates are sent as slightly weird URL parameters (e.g. 0.png?214,243) # parse them, will crash server if they are coming in unexpected format def parse_coordinates(args): keys = list(args.keys()) assert len(keys) == 1 coordinates = keys[0] assert...

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null

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1

0

35f6bdfd466ccfcc3ec731821bd0d70b92cb5b92

2,851

py

Python

lib/tool_images.py

KTingLee/image-training

c02c7caa81a55b61e935d07ead27bcaed468eb0a

[ "MIT" ]

null

lib/tool_images.py

KTingLee/image-training

c02c7caa81a55b61e935d07ead27bcaed468eb0a

[ "MIT" ]

2

2021-01-22T09:10:33.000Z

2021-01-22T14:22:09.000Z

lib/tool_images.py

KTingLee/image-training

c02c7caa81a55b61e935d07ead27bcaed468eb0a

[ "MIT" ]

1

2021-01-22T08:56:34.000Z

import matplotlib.pyplot as plt import numpy as np import math import cv2 kernel = np.ones((3, 3), np.int8) # 去除雜訊 def eraseImage (image): return cv2.erode(image, kernel, iterations = 1) # 模糊圖片 def blurImage (image): return cv2.GaussianBlur(image, (5, 5), 0) # 銳利化圖片 # threshold1,2，較小的值為作為偵測邊界的最小值 def edgedImage...

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null

0

1

0

35f6e6f91f9e05d76fd7957364cd9c3157a56978

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py

Python

Code/geneset_testing.py

dylkot/EbolaSC

d363f9d2c10911f01c7b1d22fec2b192df2569b1

[ "MIT" ]

2

2020-09-28T09:27:33.000Z

2021-01-04T09:16:42.000Z

Code/geneset_testing.py

dylkot/SC-Ebola

d363f9d2c10911f01c7b1d22fec2b192df2569b1

[ "MIT" ]

null

Code/geneset_testing.py

dylkot/SC-Ebola

d363f9d2c10911f01c7b1d22fec2b192df2569b1

[ "MIT" ]

null

import pandas as pd import numpy as np from scipy.stats import mannwhitneyu, fisher_exact, ranksums def load_geneset(gmtfn, genes=None, minsize=0): ''' Load genesets stored in gmt format (e.g. as provided by msigdb) gmtfn : str path to gmt file genes : list, optional only include gene...

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0.031746

0

null

0

null

0

1

0

35f901a5b14d9bb965c94938ad6cacba20eb8f77

2,167

py

Python

nn_wtf/parameter_optimizers/brute_force_optimizer.py

lene/nn-wtf

4696f143d936e0c0c127847e3bb1e93a6e756d35

[ "Apache-2.0" ]

null

nn_wtf/parameter_optimizers/brute_force_optimizer.py

lene/nn-wtf

4696f143d936e0c0c127847e3bb1e93a6e756d35

[ "Apache-2.0" ]

20

2016-02-20T12:43:04.000Z

2016-12-23T13:57:25.000Z

nn_wtf/parameter_optimizers/brute_force_optimizer.py

lene/nn-wtf

4696f143d936e0c0c127847e3bb1e93a6e756d35

[ "Apache-2.0" ]

null

import pprint from nn_wtf.parameter_optimizers.neural_network_optimizer import NeuralNetworkOptimizer __author__ = 'Lene Preuss <lene.preuss@gmail.com>' class BruteForceOptimizer(NeuralNetworkOptimizer): DEFAULT_LAYER_SIZES = ( (32, 48, 64), # (32, 48, 64, 80, 96, 128), (32, 48, 64, 80, 96, 12...

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null

0

null

0

1

0

35fac5891884a7fafbd906447065470f94dbe9cf

9,158

py

Python

tensorflow/dgm/exp.py

goldfarbDave/vcl

24fb33a1dcadfa6c6cf5e9e9838b64f4fd23143a

[ "Apache-2.0" ]

null

tensorflow/dgm/exp.py

goldfarbDave/vcl

24fb33a1dcadfa6c6cf5e9e9838b64f4fd23143a

[ "Apache-2.0" ]

null

tensorflow/dgm/exp.py

goldfarbDave/vcl

24fb33a1dcadfa6c6cf5e9e9838b64f4fd23143a

[ "Apache-2.0" ]

null

import numpy as np import tensorflow as tf import sys, os sys.path.extend(['alg/', 'models/']) from visualisation import plot_images from encoder_no_shared import encoder, recon from utils import init_variables, save_params, load_params, load_data from eval_test_ll import construct_eval_func dimZ = 50 dimH = 500 n_cha...

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35fb641cc4c232d5e95579ae3bf4fec4904fbdf7

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py

Python

src/cltl/combot/infra/config/k8config.py

leolani/cltl-combot

7008742ba9db782166f79322658a8cb49890d61b

[ "MIT" ]

1

2020-11-21T18:53:22.000Z

src/cltl/combot/infra/config/k8config.py

leolani/cltl-combot

7008742ba9db782166f79322658a8cb49890d61b

[ "MIT" ]

null

src/cltl/combot/infra/config/k8config.py

leolani/cltl-combot

7008742ba9db782166f79322658a8cb49890d61b

[ "MIT" ]

null

import logging import os import cltl.combot.infra.config.local as local_config logger = logging.getLogger(__name__) K8_CONFIG_DIR = "/cltl_k8_config" K8_CONFIG = "config/k8.config" class K8LocalConfigurationContainer(local_config.LocalConfigurationContainer): @staticmethod def load_configuration(config_fi...

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0

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0

null

0

null

0

1

0

35fb6a7aec8441ab62bd7a834d5a31a1a31bbbcf

17,640

py

Python

act_map/scripts/exp_compare_diff_maps.py

debugCVML/rpg_information_field

56f9ffba83aaee796502116e1cf651c5bc405bf6

[ "MIT" ]

149

2020-06-23T12:08:47.000Z

2022-03-31T08:18:52.000Z

act_map/scripts/exp_compare_diff_maps.py

debugCVML/rpg_information_field

56f9ffba83aaee796502116e1cf651c5bc405bf6

[ "MIT" ]

4

2020-08-28T07:51:15.000Z

2021-04-09T13:18:49.000Z

act_map/scripts/exp_compare_diff_maps.py

debugCVML/rpg_information_field

56f9ffba83aaee796502116e1cf651c5bc405bf6

[ "MIT" ]

34

2020-06-26T14:50:34.000Z

2022-03-04T06:45:55.000Z

#!/usr/bin/env python import os import argparse import yaml import numpy as np from colorama import init, Fore, Style from matplotlib import rc import matplotlib.pyplot as plt import plot_utils as pu init(autoreset=True) rc('font', **{'serif': ['Cardo'], 'size': 20}) rc('text', usetex=True) kMetrics = ['det', 'mi...

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0

null

0

null

0

1

0

35fc69cf4551ec557452a3db41e67d9efead2ebf

1,318

py

Python

Files/SpeechRecognition/speechDandR.py

JahnaviDoneria/HomeAutomationSystem

0419ba4a0fefd16b9a5c7a19fef7897d76850dc2

[ "MIT" ]

null

Files/SpeechRecognition/speechDandR.py

JahnaviDoneria/HomeAutomationSystem

0419ba4a0fefd16b9a5c7a19fef7897d76850dc2

[ "MIT" ]

null

Files/SpeechRecognition/speechDandR.py

JahnaviDoneria/HomeAutomationSystem

0419ba4a0fefd16b9a5c7a19fef7897d76850dc2

[ "MIT" ]

1

2020-01-20T13:04:55.000Z

import json import apiai import speech_recognition as sr def speechRecognition(): recog = sr.Recognizer() with sr.Microphone() as source: print("It's your cue") audio = recog.listen(source) i = True while i is True: try: text = recog.recognize_google(audio) ...

23.122807

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0

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0.190476

0

null

0

null

0

1

0

35fcbb05f8e3b57b8ab5311822807b3114647a9f

4,667

py

Python

mylib/dataset/coco.py

duducheng/deeplabv3p_gluon

fd8e3e8d834838a9a221785b825499c62cee578f

[ "Apache-2.0" ]

66

2018-07-20T04:01:41.000Z

2021-11-08T10:40:49.000Z

mylib/dataset/coco.py

duducheng/deeplabv3p_gluon

fd8e3e8d834838a9a221785b825499c62cee578f

[ "Apache-2.0" ]

6

2018-08-16T08:06:39.000Z

2020-11-28T13:07:21.000Z

mylib/dataset/coco.py

duducheng/deeplabv3p_gluon

fd8e3e8d834838a9a221785b825499c62cee578f

[ "Apache-2.0" ]

11

2018-07-20T18:00:29.000Z

2020-04-28T15:21:58.000Z

# raise NotImplementedError("Did not check!") """MSCOCO Semantic Segmentation pretraining for VOC.""" import os from tqdm import trange from PIL import Image, ImageOps, ImageFilter import numpy as np import pickle from gluoncv.data.segbase import SegmentationDataset class COCOSegmentation(SegmentationDataset): ...

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0.041667

0

null

0

null

0

1

0

35fd4da34b0954ed2f821de46d87379191733efa

1,045

py

Python

find_other_news_sources.py

sr33/OtherNewsSources

17857381a5690d5e89d4a034f1fc60f61c2377dc

[ "MIT" ]

10

2015-07-17T09:57:38.000Z

2020-05-24T20:09:20.000Z

find_other_news_sources.py

sr33/OtherNewsSources

17857381a5690d5e89d4a034f1fc60f61c2377dc

[ "MIT" ]

null

find_other_news_sources.py

sr33/OtherNewsSources

17857381a5690d5e89d4a034f1fc60f61c2377dc

[ "MIT" ]

null

# __author__ = 'sree' import urllib2 from lxml import html import requests def get_page_tree(url=None): page = requests.get(url=url, verify=False) return html.fromstring(page.text) def get_title(url=None): tree = get_page_tree(url=url) return tree.xpath('//title//text()')[0].strip().split(' -')[0] d...

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1,045

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0

null

0

null

0

1

0

35fda7f9b73a414c879824f59fa81da72f267f5a

35,235

py

Python

code/client/munkilib/adobeutils/adobeinfo.py

Rippling/munki

115832687d4411ca825202ec82d9a27053fef7c8

[ "Apache-2.0" ]

1

2021-10-06T12:56:14.000Z

code/client/munkilib/adobeutils/adobeinfo.py

Rippling/munki

115832687d4411ca825202ec82d9a27053fef7c8

[ "Apache-2.0" ]

null

code/client/munkilib/adobeutils/adobeinfo.py

Rippling/munki

115832687d4411ca825202ec82d9a27053fef7c8

[ "Apache-2.0" ]

null

# encoding: utf-8 # Copyright 2009-2020 Greg Neagle. # # 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...

44.657795

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0.003831

0

null

0

null

0

1

0

35ff5a9fe6f25456cafae5f86dcd151f7638267e

35,016

py

Python

poshc2/server/Tasks.py

slackr/PoshC2

d4804f1f534dac53b95dd6dd6578431beaf79360

[ "BSD-3-Clause" ]

1,504

2016-07-12T04:14:00.000Z

2022-03-31T02:59:30.000Z

poshc2/server/Tasks.py

PhilKeeble/PoshC2

498b30097e12e46b5aa454feaeaa4bbae3c04c0d

[ "BSD-3-Clause" ]

139

2016-10-13T10:41:18.000Z

2022-03-31T13:22:47.000Z

poshc2/server/Tasks.py

PhilKeeble/PoshC2

498b30097e12e46b5aa454feaeaa4bbae3c04c0d

[ "BSD-3-Clause" ]

377

2016-07-12T03:10:03.000Z

2022-03-31T10:04:13.000Z

import datetime, hashlib, base64, traceback, os, re import poshc2.server.database.DB as DB from poshc2.Colours import Colours from poshc2.server.Config import ModulesDirectory, DownloadsDirectory, ReportsDirectory from poshc2.server.Implant import Implant from poshc2.server.Core import decrypt, encrypt, default_respon...

64.486188

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0.03675

0.166344

0

null

0

null

0

1

0

c4005a008048988474573247edb485bd20d1bb6d

1,029

py

Python

Leetcode/89.grayCode.py

Song2017/Leetcode_python

99d9f3cec0e47ddab6ec107392a6b33bf6c1d046

[ "MIT" ]

1

2019-05-14T00:55:30.000Z

LeetcodeView/89.grayCode.md

Song2017/Leetcode_python

99d9f3cec0e47ddab6ec107392a6b33bf6c1d046

[ "MIT" ]

null

LeetcodeView/89.grayCode.md

Song2017/Leetcode_python

99d9f3cec0e47ddab6ec107392a6b33bf6c1d046

[ "MIT" ]

null

class Solution: ''' 格雷编码是一个二进制数字系统，在该系统中，两个连续的数值仅有一个位数的差异。给定一个代表编码总位数的非负整数 n，打印其格雷编码序列。格雷编码序列必须以 0 开头。输入: 2 输出: [0,1,3,2] 解释: 00 - 0, 01 - 1, 11 - 3, 10 - 2 ''' def grayCode(self, n: int): # 观察连续数值对应的格雷编码序列对应的关系 # 追加二进制位到首位, 0: 数值仍为前一个数组的值, 1: 前一个数组的每个元素 + 2的(n-1)次幂 ...

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false

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0.071429

0

null

0

null

0

1

0

c400620022eebd6f0df3a706d1f575d077a9ad78

6,781

py

Python

object/test.py

SkinLesionsResearch/NCPL

562e9664f77e14ed9b2655b82e8498b8a8ce5d2d

[ "MIT" ]

null

object/test.py

SkinLesionsResearch/NCPL

562e9664f77e14ed9b2655b82e8498b8a8ce5d2d

[ "MIT" ]

null

object/test.py

SkinLesionsResearch/NCPL

562e9664f77e14ed9b2655b82e8498b8a8ce5d2d

[ "MIT" ]

null

import argparse import os, sys os.chdir("/home/jackie/ResearchArea/SkinCancerResearch/semi_skin_cancer") sys.path.append("/home/jackie/ResearchArea/SkinCancerResearch/semi_skin_cancer") print(os.getcwd()) import os.path as osp import torchvision import numpy as np import torch # import torch.nn as nn # impo...

38.971264

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c4038c43fba700001a9ef9e5ce94db202c34c7bb

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py

Python

allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py

urigoren/allennlp

236e1fd01ca30409cd736625901292609009f5c4

[ "Apache-2.0" ]

1

2020-03-30T14:07:02.000Z

allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py

urigoren/allennlp

236e1fd01ca30409cd736625901292609009f5c4

[ "Apache-2.0" ]

123

2020-04-26T02:41:30.000Z

2021-08-02T21:18:00.000Z

allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py

urigoren/allennlp

236e1fd01ca30409cd736625901292609009f5c4

[ "Apache-2.0" ]

2

2019-12-21T05:58:44.000Z

2021-08-16T07:41:21.000Z

import numpy as np import pytest import torch from numpy.testing import assert_almost_equal from allennlp.common.checks import ConfigurationError from allennlp.common.testing import AllenNlpTestCase from allennlp.data import Vocabulary from allennlp.modules.token_embedders import BagOfWordCountsTokenEmbedder class T...

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null

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0

c404204e3c66a1ac63a04d196c9f1142497f7ef7

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py

Python

dqn/ops.py

khurshedmemon/DQN-UN-TL

1a981feff66825b6c35aafd08aba29d3c08ed745

[ "Apache-2.0" ]

1

2021-12-01T15:08:44.000Z

dqn/ops.py

khurshedmemon/DQN-UN-TL

1a981feff66825b6c35aafd08aba29d3c08ed745

[ "Apache-2.0" ]

1

2021-12-02T06:09:05.000Z

dqn/ops.py

khurshedmemon/DQN-UN-TL

1a981feff66825b6c35aafd08aba29d3c08ed745

[ "Apache-2.0" ]

null

import tensorflow as tf import numpy as np def clipped_error(x): # Huber loss try: return tf.select(tf.abs(x) < 1.0, 0.5 * tf.square(x), tf.abs(x) - 0.5 ) except: return tf.where(tf.abs(x) < 1.0, 0.5 * tf.square(x), tf.abs(x) - 0.5 ) def linear(input_, output_size, stddev=0.02, bias_star...

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null

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null

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0

c40422c343f9bc25ecff00b38032cd67afe03520

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py

Python

cellsium/model/initialization.py

modsim/CellSium

8c3f4f5ccf84fa5555206d01cc3359c89071dcba

[ "BSD-2-Clause" ]

null

cellsium/model/initialization.py

modsim/CellSium

8c3f4f5ccf84fa5555206d01cc3359c89071dcba

[ "BSD-2-Clause" ]

null

cellsium/model/initialization.py

modsim/CellSium

8c3f4f5ccf84fa5555206d01cc3359c89071dcba

[ "BSD-2-Clause" ]

1

2021-12-29T23:19:17.000Z

"""Cell parameter random initializations.""" from typing import Any, Dict import numpy as np from ..parameters import ( Height, NewCellBendLowerLower, NewCellBendLowerUpper, NewCellBendOverallLower, NewCellBendOverallUpper, NewCellBendUpperLower, NewCellBendUpperUpper, NewCellLength1Me...

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null

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null

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c4049f3019aff074a372d03e83e2c871a888286d

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py

Python

QAOA_MaxClique.py

bernovie/QAOA-MaxClique

59b795480e019ae19d25ace274bdb86714ed49e2

[ "MIT" ]

2

2020-06-19T06:58:11.000Z

2021-05-18T07:17:22.000Z

QAOA_MaxClique.py

bernovie/QAOA-MaxClique

59b795480e019ae19d25ace274bdb86714ed49e2

[ "MIT" ]

1

2020-09-21T20:26:46.000Z

QAOA_MaxClique.py

bernovie/QAOA-MaxClique

59b795480e019ae19d25ace274bdb86714ed49e2

[ "MIT" ]

1

2020-09-20T12:42:02.000Z

import qiskit import numpy as np import matplotlib.pyplot as plt import json from graph import * # Random comment P =1 def makeCircuit(inbits, outbits): q = qiskit.QuantumRegister(inbits+outbits) c = qiskit.ClassicalRegister(inbits+outbits) qc = qiskit.QuantumCircuit(q, c) q_input = [q[i] for i in ran...

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0

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c407355017835f143ce6a0c84504a53fa41a83ee

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py

Python

src/learn_mtfixbmodel.py

ornithos/pytorch-mtds-mocap

3ec10387d3d897e9a20d789bd4a3782a047519f7

[ "MIT" ]

2

2022-02-09T17:53:31.000Z

2022-03-02T11:25:35.000Z

src/learn_mtfixbmodel.py

ornithos/pytorch-mtds-mocap

3ec10387d3d897e9a20d789bd4a3782a047519f7

[ "MIT" ]

null

src/learn_mtfixbmodel.py

ornithos/pytorch-mtds-mocap

3ec10387d3d897e9a20d789bd4a3782a047519f7

[ "MIT" ]

null

"""Simple code for training an RNN for motion prediction.""" import os import sys import time import numpy as np import torch import torch.optim as optim from torch.autograd import Variable import mtfixb_model import mtfixb_model2 import parseopts def create_model(args, total_num_batches): """Create MT model a...

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c408095eb7ab9da191765321215bacfdbf223067

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py

Python

python/tvm/topi/nn/conv2d_transpose.py

ccjoechou/tvm

779dc51e1332f417fa4c304b595ce76891dfc33a

[ "Apache-2.0" ]

4

2020-04-14T12:31:45.000Z

2020-11-02T14:20:59.000Z

python/tvm/topi/nn/conv2d_transpose.py

ccjoechou/tvm

779dc51e1332f417fa4c304b595ce76891dfc33a

[ "Apache-2.0" ]

null

python/tvm/topi/nn/conv2d_transpose.py

ccjoechou/tvm

779dc51e1332f417fa4c304b595ce76891dfc33a

[ "Apache-2.0" ]

1

2020-11-02T14:21:45.000Z

# 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...

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c40810867a32dd051fe382d63b22b8bac17db49f

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py

Python

econml/solutions/causal_analysis/_causal_analysis.py

huigangchen/EconML

9a56d651e2964ebd05144de52f577f9044a22a0b

[ "BSD-3-Clause" ]

1,846

2019-05-06T21:14:19.000Z

2022-03-31T11:52:21.000Z

econml/solutions/causal_analysis/_causal_analysis.py

cleeway/EconML

fb2d1139f6c271d4b9a24d9c6d122d4d0891afb0

[ "BSD-3-Clause" ]

393

2019-05-08T00:55:32.000Z

2022-03-31T14:26:16.000Z

econml/solutions/causal_analysis/_causal_analysis.py

cleeway/EconML

fb2d1139f6c271d4b9a24d9c6d122d4d0891afb0

[ "BSD-3-Clause" ]

414

2019-05-14T03:51:08.000Z

2022-03-31T09:32:17.000Z

# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. """Module for assessing causal feature importance.""" import warnings from collections import OrderedDict, namedtuple import joblib import lightgbm as lgb from numba.core.utils import erase_traceback import numpy as np from...

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0

null

0

null

0

1

0

c40cb374c8f69dbfb3dd6a423d469c3fd1845232

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py

Python

examples/gan.py

maxferrari/Torchelie

d133f227bebc3c4cbbb6167bd1fae815d2b5fa81

[ "MIT" ]

117

2019-07-14T20:39:48.000Z

2021-10-17T19:16:48.000Z

examples/gan.py

maxferrari/Torchelie

d133f227bebc3c4cbbb6167bd1fae815d2b5fa81

[ "MIT" ]

41

2019-12-06T23:56:44.000Z

2021-08-02T09:13:30.000Z

examples/gan.py

maxferrari/Torchelie

d133f227bebc3c4cbbb6167bd1fae815d2b5fa81

[ "MIT" ]

13

2019-09-22T00:46:54.000Z

2021-04-09T15:53:15.000Z

import argparse import copy import torch from torchvision.datasets import MNIST, CIFAR10 import torchvision.transforms as TF import torchelie as tch import torchelie.loss.gan.hinge as gan_loss from torchelie.recipes.gan import GANRecipe import torchelie.callbacks as tcb from torchelie.recipes import Recipe parser =...

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null

0

1

0

c40e9360b8918f73e4cf97eef85c363173d03ce0

21,719

py

Python

hs_geo_raster_resource/serialization.py

tommac7/hydroshare

87c4543a55f98103d2614bf4c47f7904c3f9c029

[ "BSD-3-Clause" ]

1

2018-09-17T13:07:29.000Z

hs_geo_raster_resource/serialization.py

tommac7/hydroshare

87c4543a55f98103d2614bf4c47f7904c3f9c029

[ "BSD-3-Clause" ]

100

2017-08-01T23:48:04.000Z

2018-04-03T13:17:27.000Z

hs_geo_raster_resource/serialization.py

tommac7/hydroshare

87c4543a55f98103d2614bf4c47f7904c3f9c029

[ "BSD-3-Clause" ]

2

2017-07-27T20:41:33.000Z

2017-07-27T22:40:57.000Z

import xml.sax import rdflib from django.db import transaction from hs_core.serialization import GenericResourceMeta class RasterResourceMeta(GenericResourceMeta): """ Lightweight class for representing metadata of RasterResource instances. """ def __init__(self): super(RasterResourceMeta, s...

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0

null

0

null

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1

0

c410261f2af66c058c52c7122ed945e7bc1bf8e8

857

py

Python

setup.py

mrocklin/pygdf

2de9407427da9497ebdf8951a12857be0fab31bb

[ "Apache-2.0" ]

5

2019-01-15T12:31:49.000Z

2021-03-05T21:17:13.000Z

setup.py

mrocklin/pygdf

2de9407427da9497ebdf8951a12857be0fab31bb

[ "Apache-2.0" ]

1

2019-06-18T20:58:21.000Z

setup.py

mrocklin/pygdf

2de9407427da9497ebdf8951a12857be0fab31bb

[ "Apache-2.0" ]

null

from setuptools import setup import versioneer packages = ['pygdf', 'pygdf.tests', ] install_requires = [ 'numba', ] setup(name='pygdf', description="GPU Dataframe", version=versioneer.get_version(), classifiers=[ # "Development Status :: 4 - Beta", "In...

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0.08

0

null

0

null

0

1

0

c415cf0f1a05df7a1ed0253bc2693cc05cb80cc0

4,938

py

Python

gumtree_watchdog/db.py

undeadparrot/gumtree-telegram-watchdog

48db6b37876c520bd5d2e0f9a97e19b04d70e12f

[ "MIT" ]

1

2019-03-04T15:38:01.000Z

gumtree_watchdog/db.py

undeadparrot/gumtree-telegram-watchdog

48db6b37876c520bd5d2e0f9a97e19b04d70e12f

[ "MIT" ]

null

gumtree_watchdog/db.py

undeadparrot/gumtree-telegram-watchdog

48db6b37876c520bd5d2e0f9a97e19b04d70e12f

[ "MIT" ]

null

import os import os.path import sqlite3 import logging from typing import List from gumtree_watchdog.types import Listing, Contract, ListingWithChatId TConn = sqlite3.Connection DB_PATH = os.environ.get('GUMTREE_DB') def get_connection() -> TConn: if not DB_PATH: raise Exception("Please specify Sqlite3 db...

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0

null

0

null

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1

0

c418d7e5abef02bb7493320d6cd67da6e01f6114

1,142

py

Python

async-functions.py

cheezyy/python_scripts

9db713ca085c6f1fd5ec63d79762a470093e028a

[ "MIT" ]

null

async-functions.py

cheezyy/python_scripts

9db713ca085c6f1fd5ec63d79762a470093e028a

[ "MIT" ]

null

async-functions.py

cheezyy/python_scripts

9db713ca085c6f1fd5ec63d79762a470093e028a

[ "MIT" ]

null

''' Chad Meadowcroft Credit to Sentdex (https://pythonprogramming.net/) ''' import asyncio async def find_divisibles(inrange, div_by): # Define division function with async functionality print("finding nums in range {} divisible by {}".format(inrange, div_by)) located = [] for i in range(inrange): ...

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null

0

null

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0

c41996b81d3533341a720d569e52c1e49f5c467b

1,114

py

Python

setup.py

jackaraz/ma5_expert

4d359b5110874c2f44f81e10307bd1ea3f9e20d0

[ "MIT" ]

2

2021-04-06T08:37:41.000Z

2022-01-07T09:15:25.000Z

setup.py

jackaraz/ma5_expert

4d359b5110874c2f44f81e10307bd1ea3f9e20d0

[ "MIT" ]

null

setup.py

jackaraz/ma5_expert

4d359b5110874c2f44f81e10307bd1ea3f9e20d0

[ "MIT" ]

null

from setuptools import setup import os with open("README.md", "r", encoding="utf-8") as f: long_description = f.read() requirements = [] if os.path.isfile("./requirements.txt"): with open("requirements.txt", "r") as f: requirements = f.read() requirements = [x for x in requirements.split("\n") if ...

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null

0

null

0

1

0

c41a92320c98d0d79eebb92f7c12dfc1830b9325

4,977

py

Python

apitest/api_test/common/auth.py

willhuang1206/apitest

4b41855710ba8f21788027da83a830f631e11f26

[ "Apache-2.0" ]

null

apitest/api_test/common/auth.py

willhuang1206/apitest

4b41855710ba8f21788027da83a830f631e11f26

[ "Apache-2.0" ]

3

2020-06-06T01:57:41.000Z

2021-06-10T22:57:58.000Z

apitest/api_test/common/auth.py

willhuang1206/apitest

4b41855710ba8f21788027da83a830f631e11f26

[ "Apache-2.0" ]

null

from rest_framework.authentication import BaseAuthentication from rest_framework import exceptions from rest_framework.parsers import JSONParser from django.conf import settings import requests from api_test.common import MD5 from api_test.models import ProjectMember from django.contrib.auth.models import User,Group fr...

42.905172

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0.254717

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null

0

null

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1

0

c41c9ed8f0eeeb7bc96538ff09de8ee1da20fa88

4,113

py

Python

tests/localyaml/test_localyaml.py

sbussetti/jenkins-job-builder

fc63f1439816d9022a2d538614b0b7592f96b454

[ "Apache-2.0" ]

1

2021-07-30T04:03:53.000Z

tests/localyaml/test_localyaml.py

sbussetti/jenkins-job-builder

fc63f1439816d9022a2d538614b0b7592f96b454

[ "Apache-2.0" ]

12

2020-05-29T05:33:48.000Z

2020-09-29T13:02:29.000Z

tests/localyaml/test_localyaml.py

sbussetti/jenkins-job-builder

fc63f1439816d9022a2d538614b0b7592f96b454

[ "Apache-2.0" ]

2

2020-05-15T08:29:33.000Z

2020-06-04T07:27:31.000Z

#!/usr/bin/env python # # Copyright 2013 Darragh Bailey # # 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...

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c41dbd4f1116c76a73c6b7f3a90d3a40a1fa6018

24,625

py

Python

seijibot.py

seiji56/bot-tac

b16b8a8a79d6ac2deb0476ab3a9a0e0b136b1d54

[ "MIT" ]

null

seijibot.py

seiji56/bot-tac

b16b8a8a79d6ac2deb0476ab3a9a0e0b136b1d54

[ "MIT" ]

null

seijibot.py

seiji56/bot-tac

b16b8a8a79d6ac2deb0476ab3a9a0e0b136b1d54

[ "MIT" ]

null

from bot_interface import * import math class SeijiBot(BotBase): def __init__(self): self.initialized = False def initialize(self, gamestate): gamestate.log("Initializing...") #Getting UID self.uid = gamestate.bot.uid gamestate.log("This ship has uid " + str(self.ui...

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null

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c41fd9dec58d9f797e213eba1e8064f8aba14576

682

py

Python

days/01-03-datetimes/code/100day_calc.py

rhelmstedter/100daysofcode-with-python-course

076c99939b5641be541023f61c10ff30a7f05524

[ "MIT" ]

null

days/01-03-datetimes/code/100day_calc.py

rhelmstedter/100daysofcode-with-python-course

076c99939b5641be541023f61c10ff30a7f05524

[ "MIT" ]

null

days/01-03-datetimes/code/100day_calc.py

rhelmstedter/100daysofcode-with-python-course

076c99939b5641be541023f61c10ff30a7f05524

[ "MIT" ]

null

from datetime import date, datetime, timedelta import time START_DATE = date(2021, 5, 25) duration = timedelta(days=100) def countdown(): event_delta = LAST_DAY_OF_SCHOOL - datetime.now() print() print("\tTime until school is out for summer 2021:", end="\n\n") while event_delta.seconds > 0: h...

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null

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c42012e1044d2e28166a8361142bd8a07f4789f3

6,071

py

Python

aggregathor/ea_datasource.py

big-data-lab-umbc/autodist

c8514b27cf5608f35254b63c4ac8093c7295a8e7

[ "Apache-2.0" ]

null

aggregathor/ea_datasource.py

big-data-lab-umbc/autodist

c8514b27cf5608f35254b63c4ac8093c7295a8e7

[ "Apache-2.0" ]

null

aggregathor/ea_datasource.py

big-data-lab-umbc/autodist

c8514b27cf5608f35254b63c4ac8093c7295a8e7

[ "Apache-2.0" ]

null

import numpy as np import keras import random from keras.datasets import mnist from keras import backend as K K.set_floatx('float64') class DataSource(object): def __init__(self): raise NotImplementedError() def partitioned_by_rows(self, num_workers, test_reserve=.3): raise NotImplementedError(...

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null

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0

c4231b8d3eab02f60fcc36025477bf600813aa38

1,519

py

Python

py_at/OrderItem.py

kanghua309/at_py

8fa7943a9de52cd81d235f06b57a25aa07fb715b

[ "Apache-2.0" ]

null

py_at/OrderItem.py

kanghua309/at_py

8fa7943a9de52cd81d235f06b57a25aa07fb715b

[ "Apache-2.0" ]

null

py_at/OrderItem.py

kanghua309/at_py

8fa7943a9de52cd81d235f06b57a25aa07fb715b

[ "Apache-2.0" ]

2

2018-09-19T16:07:26.000Z

2019-11-09T15:46:21.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ __title__ = '' __author__ = 'HaiFeng' __mtime__ = '2016/8/16' """ import time from py_at.EnumDefine import * ######################################################################## class OrderItem(object): """策略信号""" #----------------------------------------------...

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null

0

null

0

1

0

c4253c3edd906a40552637d516df1601047e0dd5

669

py

Python

app/model/compare_users.py

dwdraugr/YADS

c8036d8196a3158636aaa4f1910033e70ec8ecb4

[ "Apache-2.0" ]

3

2019-09-02T11:26:58.000Z

2019-12-06T15:54:38.000Z

app/model/compare_users.py

dwdraugr/YADS

c8036d8196a3158636aaa4f1910033e70ec8ecb4

[ "Apache-2.0" ]

null

app/model/compare_users.py

dwdraugr/YADS

c8036d8196a3158636aaa4f1910033e70ec8ecb4

[ "Apache-2.0" ]

null

from app.model.model import Model class CompareUsers(Model): def get_compare_users(self, uid): cursor = self.matchadb.cursor() cursor.execute('SELECT whomid FROM likes WHERE whoid = %s', (uid,)) whomids = [item[0] for item in cursor.fetchall()] if len(whomids) == 0: rai...

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null

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1

0

c425a0389a78978ea2d9dbb437a26224ad54fcc9

9,004

py

Python

venv/Lib/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py

mokshagna517/recommendation_sys

bc8ced225dff3c93d619ff5da363f42d0aa0676c

[ "MIT" ]

25

2019-03-08T01:03:03.000Z

2022-02-14T17:38:32.000Z

venv/Lib/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py

mokshagna517/recommendation_sys

bc8ced225dff3c93d619ff5da363f42d0aa0676c

[ "MIT" ]

9

2020-09-25T22:32:02.000Z

2022-02-09T23:45:10.000Z

venv/Lib/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py

mokshagna517/recommendation_sys

bc8ced225dff3c93d619ff5da363f42d0aa0676c

[ "MIT" ]

31

2019-01-15T20:16:50.000Z

2022-03-01T05:47:38.000Z

import numpy as np import pytest from numpy.testing import assert_allclose from numpy.testing import assert_array_equal from sklearn.ensemble._hist_gradient_boosting.histogram import ( _build_histogram_naive, _build_histogram, _build_histogram_no_hessian, _build_histogram_root_no_hessian, _build_h...

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0

null

0

null

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1

0

c4263856e2d9e9e21750aa2037ab8e37b21086eb

2,407

py

Python

apps/user/models.py

mrf-foundation/ckios_v1

3556a99ba5e01f00e137fd124903ace77d2cba28

[ "Apache-2.0" ]

null

apps/user/models.py

mrf-foundation/ckios_v1

3556a99ba5e01f00e137fd124903ace77d2cba28

[ "Apache-2.0" ]

null

apps/user/models.py

mrf-foundation/ckios_v1

3556a99ba5e01f00e137fd124903ace77d2cba28

[ "Apache-2.0" ]

null

from django.db import models from django import forms from django.contrib.auth.models import User from PIL import Image from django.utils.timezone import now class Profile(models.Model): user = models.OneToOneField(User, null=True, blank=True, on_delete=models.CASCADE) image = models.ImageField(upload_to="up...

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0

null

0

null

0

1

0

c429c3cef7b7daf43f4b36c099ac1e6ca683a4ff

19,880

py

Python

slt/chmm/train.py

paper-submit-account/Sparse-CHMM

8a33dfe375a012cc0cc3324907135b74606a7b5d

[ "Apache-2.0" ]

null

slt/chmm/train.py

paper-submit-account/Sparse-CHMM

8a33dfe375a012cc0cc3324907135b74606a7b5d

[ "Apache-2.0" ]

null

slt/chmm/train.py

paper-submit-account/Sparse-CHMM

8a33dfe375a012cc0cc3324907135b74606a7b5d

[ "Apache-2.0" ]

null

import os import logging import numpy as np from typing import Optional import torch from torch.utils.data import DataLoader from ..eval import Metric from .dataset import CHMMBaseDataset from .dataset import collate_fn as default_collate_fn logger = logging.getLogger(__name__) OUT_RECALL = 0.9 OUT_PRECISION = 0.8 ...

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0

null

0

null

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1

0

c42c480ac786f98d925a893f66e8658af5b8de1c

6,881

py

Python

flask_obfuscateids/lib.py

mlenzen/flask-obfuscateids

22319633b2685f2969bd67eae3fd09d2db6567f1

[ "BSD-3-Clause" ]

null

flask_obfuscateids/lib.py

mlenzen/flask-obfuscateids

22319633b2685f2969bd67eae3fd09d2db6567f1

[ "BSD-3-Clause" ]

1

2015-01-26T06:23:12.000Z

flask_obfuscateids/lib.py

mlenzen/flask-obfuscateids

22319633b2685f2969bd67eae3fd09d2db6567f1

[ "BSD-3-Clause" ]

null

from random import Random from collections_extended import setlist # The version of seeding to use for random SEED_VERSION = 2 # Common alphabets to use ALPHANUM = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ' BASE58 = '123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz' def shuffle(key...

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null

0

null

0

1

0

c42d617d9e6dd57810d5d84da656ddd4e8d82bf1

5,891

py

Python

b2sdk/v1/account_info.py

ehossack/b2-sdk-python

034bec38671c0862b6956915993061359dbd51f6

[ "MIT" ]

null

b2sdk/v1/account_info.py

ehossack/b2-sdk-python

034bec38671c0862b6956915993061359dbd51f6

[ "MIT" ]

null

b2sdk/v1/account_info.py

ehossack/b2-sdk-python

034bec38671c0862b6956915993061359dbd51f6

[ "MIT" ]

null

###################################################################### # # File: b2sdk/v1/account_info.py # # Copyright 2021 Backblaze Inc. All Rights Reserved. # # License https://www.backblaze.com/using_b2_code.html # ###################################################################### from abc import abstractmeth...

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null

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1

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c42ddcb403bc1b33c57898bd141f1f505a69b04f

9,539

py

Python

src/pyrin/security/hashing/handlers/pbkdf2.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

src/pyrin/security/hashing/handlers/pbkdf2.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

src/pyrin/security/hashing/handlers/pbkdf2.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ pbkdf2 hashing handler module. """ import hashlib import re import pyrin.configuration.services as config_services import pyrin.security.utils.services as security_utils_services from pyrin.security.hashing.decorators import hashing from pyrin.security.hashing.handlers.base import Hashing...

39.094262

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0.381579

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null

0

null

0

1

0

c42e18634a20b6733cded46ea5994450f7ae4da0

8,652

py

Python

src/steps/prepare_ner_data.py

allanwright/media-classifier

a0da0799cc0bd6ef7360012c362f9fab273286c6

[ "MIT" ]

2

2019-08-16T00:49:27.000Z

2021-08-15T16:37:45.000Z

src/steps/prepare_ner_data.py

allanwright/media-classifier

a0da0799cc0bd6ef7360012c362f9fab273286c6

[ "MIT" ]

1

2020-02-19T10:17:56.000Z

2020-07-26T09:42:49.000Z

src/steps/prepare_ner_data.py

allanwright/media-classifier

a0da0799cc0bd6ef7360012c362f9fab273286c6

[ "MIT" ]

1

2019-06-27T10:57:07.000Z

'''Defines a pipeline step which prepares training and test data for named entity recognition. ''' import ast import json import pickle from mccore import EntityRecognizer from mccore import ner from mccore import persistence import pandas as pd from sklearn.utils import resample from src.step import Step class Pr...

36.05

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0

null

0

null

0

1

0

c42e88219fc65a0c84a4b46fac98f1c167ea84ef

9,859

py

Python

YoLo2Net.py

zhouyc2002/yolo2-cntk

549cb46365d1750031eee90044b6262f9b94ff49

[ "Apache-2.0" ]

3

2017-07-27T00:05:39.000Z

2021-02-25T08:56:10.000Z

YoLo2Net.py

zhouyc2002/yolo2-cntk

549cb46365d1750031eee90044b6262f9b94ff49

[ "Apache-2.0" ]

1

2019-08-05T12:55:06.000Z

2019-08-06T00:43:58.000Z

YoLo2Net.py

zhouyc2002/yolo2-cntk

549cb46365d1750031eee90044b6262f9b94ff49

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Jun 28 13:03:05 2017 @author: ZHOU Yuncheng """ import cntk as C import _cntk_py import cntk.layers import cntk.initializer import cntk.losses import cntk.metrics import cntk.logging import cntk.io.transforms as xforms import cntk.io import cntk.train import os import numpy ...

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null

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null

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1

0

c431a581714f033cba2ab3f52062e3fdddf8f0b8

5,767

py

Python

train_ema.py

qym7/WTALFakeLabels

139738025ab69f287c4fe3c97389a637f1a0b376

[ "MIT" ]

3

2021-12-24T09:27:42.000Z

2022-01-03T10:59:47.000Z

train_ema.py

qym7/WTALFakeLabels

139738025ab69f287c4fe3c97389a637f1a0b376

[ "MIT" ]

1

2021-12-26T02:40:40.000Z

2021-12-26T02:50:26.000Z

train_ema.py

qym7/WTALFakeLabels

139738025ab69f287c4fe3c97389a637f1a0b376

[ "MIT" ]

null

''' Author: your name Date: 2021-12-25 17:33:51 LastEditTime: 2021-12-29 10:10:14 LastEditors: Please set LastEditors Description: 打开koroFileHeader查看配置进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE FilePath: /yimingqin/code/WTAL-Uncertainty-Modeling/train.py ''' import torch import torch.nn a...

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0

null

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0

c43395c47fe6f6295740535434326b1a38c6e0c8

3,597

py

Python

scan/fetchers/cli/cli_fetch_oteps_lxb.py

korenlev/calipso-cvim

39278a5cf09c40b26a8a143ccc0c8d437961abc2

[ "Apache-2.0" ]

null

scan/fetchers/cli/cli_fetch_oteps_lxb.py

korenlev/calipso-cvim

39278a5cf09c40b26a8a143ccc0c8d437961abc2

[ "Apache-2.0" ]

null

scan/fetchers/cli/cli_fetch_oteps_lxb.py

korenlev/calipso-cvim

39278a5cf09c40b26a8a143ccc0c8d437961abc2

[ "Apache-2.0" ]

null

############################################################################### # Copyright (c) 2017-2020 Koren Lev (Cisco Systems), # # Yaron Yogev (Cisco Systems), Ilia Abashin (Cisco Systems) and others # # # ...

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null

0

null

0

1

0

c433cd175dc051909207a6a2031e2dac3b9eff92

612

py

Python

appengine_config.py

ioriwitte/datavocab

5f99c679a23a164ab93ac1bcaf9a30a01728ee37

[ "Apache-2.0" ]

13

2019-12-03T15:25:55.000Z

2021-10-16T00:18:47.000Z

appengine_config.py

jesman/schemaorg

6649c41e56a9724eaeed25dedf67736258f922bf

[ "Apache-2.0" ]

11

2019-10-16T12:34:11.000Z

2021-02-04T11:23:03.000Z

appengine_config.py

jesman/schemaorg

6649c41e56a9724eaeed25dedf67736258f922bf

[ "Apache-2.0" ]

9

2017-12-13T08:07:48.000Z

2019-06-18T14:30:12.000Z

"""`appengine_config` gets loaded when starting a new application instance.""" import vendor # insert `lib` as a site directory so our `main` module can load # third-party libraries, and override built-ins with newer # versions. vendor.add('lib') import os # Called only if the current namespace is not set. def namespa...

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null

0

null

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1

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c433ed35cefab756913c6887caed7bdb03a9f9e5

270

py

Python

10_KNN_3D/main.py

ManMohan291/PyProgram

edcaa927bd70676bd14355acad7262ae2d32b8e5

[ "MIT" ]

2

2018-09-07T17:44:54.000Z

2018-09-07T17:44:57.000Z

10_KNN_3D/main.py

ManMohan291/PyProgram

edcaa927bd70676bd14355acad7262ae2d32b8e5

[ "MIT" ]

null

10_KNN_3D/main.py

ManMohan291/PyProgram

edcaa927bd70676bd14355acad7262ae2d32b8e5

[ "MIT" ]

null

import KNN as K K.clearScreen() dataTraining= K.loadData("dataTraining.txt") X=dataTraining[:,0:3] initial_centroids=K.listToArray([[3, 3,3],[6, 2,4],[8,5,7]]) idx=K.KMean_Run(X,initial_centroids,5) K.SaveData(K.concatenateVectors(X,idx)) K.plotKNN2(X,idx)

12.272727

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0.125

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null

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null

0

1

0

c434ee7e49ec7f84e8ed989b7259f62a6d292fde

3,793

py

Python

hummingbird/graphics/state_plotbox.py

don4get/hummingbird

ec9da37b74f17702201f475d79b842f41694c095

[ "MIT" ]

null

hummingbird/graphics/state_plotbox.py

don4get/hummingbird

ec9da37b74f17702201f475d79b842f41694c095

[ "MIT" ]

null

hummingbird/graphics/state_plotbox.py

don4get/hummingbird

ec9da37b74f17702201f475d79b842f41694c095

[ "MIT" ]

null

#!/usr/bin/env python import pyqtgraph as pg from pyqtgraph import ViewBox from hummingbird.graphics.plotter_args import PlotBoxArgs from hummingbird.graphics.state_plot import StatePlot class StatePlotBox: def __init__(self, window, args): """ Create a new plotbox wrapper object Arguments: ...

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0.283582

0

null

0

null

0

1

0

c43704aafbacbc4c468d75623400e2f129cb8ef2

6,544

py

Python

panku/lambdaCollect.py

mccartney/panku-gdzie-jestes

50a677170162c5255a24eacdbf8062ad876bee3f

[ "MIT" ]

null

panku/lambdaCollect.py

mccartney/panku-gdzie-jestes

50a677170162c5255a24eacdbf8062ad876bee3f

[ "MIT" ]

null

panku/lambdaCollect.py

mccartney/panku-gdzie-jestes

50a677170162c5255a24eacdbf8062ad876bee3f

[ "MIT" ]

null

#!/usr/bin/python import requests import boto3 import time import geopy.distance import xml.etree.ElementTree as ET import itertools import sys import pickle S3_BUCKET = "panku-gdzie-jestes-latest-storage" class LatestPositionStorage(object): def __init__(self, service): self.objectName = "%s.latest" % service...

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0.037313

0

null

0

null

0

1

0

c43e6b9c823f200efcc9e2b9380194f0c4a67a27

9,604

py

Python

terrain_relative_navigation/peak_extractor_algorithm.py

rschwa6308/Landmark-Based-TRN

5d712221138ec6250ed5bd19caed49810f17014e

[ "Apache-2.0" ]

null

terrain_relative_navigation/peak_extractor_algorithm.py

rschwa6308/Landmark-Based-TRN

5d712221138ec6250ed5bd19caed49810f17014e

[ "Apache-2.0" ]

null

terrain_relative_navigation/peak_extractor_algorithm.py

rschwa6308/Landmark-Based-TRN

5d712221138ec6250ed5bd19caed49810f17014e

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ /*************************************************************************** PeakExtractor A QGIS plugin This plugin procedurally extracts morphological peaks from a given DEM. Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/ ...

32.890411

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9,604

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0

null

0

null

0

1

0

c43f47ff2e792fe2c4acc6424f3c4c0fdde3ecb2

3,657

py

Python

manila/tests/api/views/test_quota_class_sets.py

openstack/manila

1ebae738c235c6f1874ac7b11307e0d5fb567dba

[ "Apache-2.0" ]

159

2015-01-02T09:35:15.000Z

2022-01-04T11:51:34.000Z

manila/tests/api/views/test_quota_class_sets.py

openstack/manila

1ebae738c235c6f1874ac7b11307e0d5fb567dba

[ "Apache-2.0" ]

5

2015-07-24T09:28:21.000Z

2020-11-20T04:33:51.000Z

manila/tests/api/views/test_quota_class_sets.py

openstack/manila

1ebae738c235c6f1874ac7b11307e0d5fb567dba

[ "Apache-2.0" ]

128

2015-01-05T22:52:28.000Z

2021-12-29T14:00:58.000Z

# Copyright (c) 2017 Mirantis, Inc. # 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 requir...

41.089888

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0.654908

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3,657

5.269767

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0.105914

0.074581

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0.192851

0.07767

0.044131

0

0.022375

0.242275

3,657

88

80

41.556818

0.795381

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false

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0.142857

0

null

0

null

0

1

0

c442b7615909101f05f7c648d2d237c13e312b98

1,630

py

Python

Modules/Biophotonics/python/iMC/msi/test/test_nrrdwriter.py

SVRTK/MITK

52252d60e42702e292d188e30f6717fe50c23962

[ "BSD-3-Clause" ]

5

2015-02-05T10:58:41.000Z

2019-04-17T15:04:07.000Z

Modules/Biophotonics/python/iMC/msi/test/test_nrrdwriter.py

wyyrepo/MITK

d0837f3d0d44f477b888ec498e9a2ed407e79f20

[ "BSD-3-Clause" ]

141

2015-03-03T06:52:01.000Z

2020-12-10T07:28:14.000Z

Modules/Biophotonics/python/iMC/msi/test/test_nrrdwriter.py

wyyrepo/MITK

d0837f3d0d44f477b888ec498e9a2ed407e79f20

[ "BSD-3-Clause" ]

4

2015-02-19T06:48:13.000Z

2020-06-19T16:20:25.000Z

# -*- coding: utf-8 -*- """ Created on Thu Aug 13 09:52:47 2015 @author: wirkert """ import unittest import os import numpy as np import msi.msimanipulations as msimani from msi.io.nrrdreader import NrrdReader from msi.io.nrrdwriter import NrrdWriter from msi.test import helpers class TestNrrdWriter(unittest.TestC...

29.636364

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185

1,630

5.513514

0.437838

0.141176

0.058824

0.070588

0.318627

0.237255

0.162745

0

0.016129

0.277301

1,630

54

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false

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0.205882

0

0.382353

0

null

0

null

0

1

0

c4438dbc98a70b3fe8296d0282cdfe5e4623856b

3,369

py

Python

crossplatformshell/__init__.py

ryanpdwyer/crossplatformshell

d6239ae362cff42faffc85714f7a5e1b56dc6463

[ "MIT" ]

null

crossplatformshell/__init__.py

ryanpdwyer/crossplatformshell

d6239ae362cff42faffc85714f7a5e1b56dc6463

[ "MIT" ]

null

crossplatformshell/__init__.py

ryanpdwyer/crossplatformshell

d6239ae362cff42faffc85714f7a5e1b56dc6463

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ ============================ crossplatformshell ============================ """ from __future__ import (print_function, division, absolute_import, unicode_literals) import pathlib import io import os import shutil import distutils.dir_util import platform # Use subp...

23.234483

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4.712644

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0.020488

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0.107317

0.032195

0

0.003559

0.249332

3,369

144

75

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0

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false

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0

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0.142857

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null

0

null

0

1

0

c446129e206d55ad3a8c2ed465762b2ddf662a3e

12,208

py

Python

h2o-py/h2o/automl/_base.py

vishalbelsare/h2o-3

9322fb0f4c0e2358449e339a434f607d524c69fa

[ "Apache-2.0" ]

null

h2o-py/h2o/automl/_base.py

vishalbelsare/h2o-3

9322fb0f4c0e2358449e339a434f607d524c69fa

[ "Apache-2.0" ]

58

2021-10-01T12:43:37.000Z

2021-12-08T22:58:43.000Z

h2o-py/h2o/automl/_base.py

vishalbelsare/h2o-3

9322fb0f4c0e2358449e339a434f607d524c69fa

[ "Apache-2.0" ]

null

import h2o from h2o.base import Keyed from h2o.exceptions import H2OValueError from h2o.job import H2OJob from h2o.model import ModelBase from h2o.utils.typechecks import assert_is_type, is_type class H2OAutoMLBaseMixin: def predict(self, test_data): """ Predict on a dataset. :param ...

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0.224329

0.200961

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174

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0.826436

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0

0.11215

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false

0.046729

0.065421

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0.308411

0

null

0

null

0

1

0

c448522cb4d655aac706a30087c1d285bd8f1d0f

3,133

py

Python

src/mongo_model.py

zxteloiv/curated-geokb-subsearcher

8f42dca4cb293ccf3baf25bb31ba9b6cd6a76c8d

[ "MIT" ]

null

src/mongo_model.py

zxteloiv/curated-geokb-subsearcher

8f42dca4cb293ccf3baf25bb31ba9b6cd6a76c8d

[ "MIT" ]

null

src/mongo_model.py

zxteloiv/curated-geokb-subsearcher

8f42dca4cb293ccf3baf25bb31ba9b6cd6a76c8d

[ "MIT" ]

null

# coding: utf-8 from pymongo import MongoClient import conf class MongoQuery(object): def __init__(self): self._conn = MongoClient(conf.mongodb_conn_str) self._db = self._conn.geokb def query(self, grounded, limit=15, sort_keys=None): col = self._db[grounded['from']] docs = co...

34.054348

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0.046545

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0.498182

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0.375273

0

0.013631

0.414619

3,133

91

100

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0

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0

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0

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false

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0.027778

0

0.194444

0

null

0

null

0

1

0

c448639417746f765b5ac2d5c6459142e8c6a83b

8,809

py

Python

src/dcm/agent/plugins/builtin/configure_server.py

JPWKU/unix-agent

8f1278fc8c2768a8d4d54af642a881bace43652f

[ "Apache-2.0" ]

null

src/dcm/agent/plugins/builtin/configure_server.py

JPWKU/unix-agent

8f1278fc8c2768a8d4d54af642a881bace43652f

[ "Apache-2.0" ]

22

2015-09-15T20:52:34.000Z

2016-03-11T22:44:24.000Z

src/dcm/agent/plugins/builtin/configure_server.py

JPWKU/unix-agent

8f1278fc8c2768a8d4d54af642a881bace43652f

[ "Apache-2.0" ]

3

2015-09-11T20:21:33.000Z

2016-09-30T08:30:19.000Z

# # Copyright (C) 2014 Dell, 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 or agreed to in wri...

38.635965

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0.595187

938

8,809

5.372068

0.245203

0.030165

0.021433

0.041278

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0.217503

0.139512

0.058742

0.012701

0

0.004132

0.313089

8,809

227

80

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0.828623

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1

0.032967

false

0

0.06044

0.005495

0.131868

0

null

0

null

0

1

0

c44957a976ba959e51bd70f903dcac90438fe807

17,184

py

Python

phy/plot/interact.py

ycanerol/phy

7a247f926dd5bf5d8ab95fe138e8f4a0db11b068

[ "BSD-3-Clause" ]

118

2019-06-03T06:19:43.000Z

2022-03-25T00:05:26.000Z

phy/plot/interact.py

ycanerol/phy

7a247f926dd5bf5d8ab95fe138e8f4a0db11b068

[ "BSD-3-Clause" ]

761

2015-01-08T11:17:41.000Z

2019-05-27T16:12:08.000Z

phy/plot/interact.py

ycanerol/phy

7a247f926dd5bf5d8ab95fe138e8f4a0db11b068

[ "BSD-3-Clause" ]

70

2019-05-30T11:05:26.000Z

2022-03-30T11:51:23.000Z

# -*- coding: utf-8 -*- """Common layouts.""" #------------------------------------------------------------------------------ # Imports #------------------------------------------------------------------------------ import logging import numpy as np from phylib.utils import emit from phylib.utils.geometry import g...

33.694118

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0.557437

2,180

17,184

4.191743

0.140826

0.023638

0.009192

0.011381

0.353469

0.302145

0.255636

0.223681

0.193916

0.13329

0

0.011075

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0

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0.326599

0

null

0

null

0

1

0

c44cda7d547bb9bf0fd8879defc0c14046119449

623

py

Python

AutocompleteHandler.py

codeforamerica/sheltraustin

a07ffd4b328a9d961347a85b49c95d8bf5ec1046

[ "BSD-3-Clause" ]

null

AutocompleteHandler.py

codeforamerica/sheltraustin

a07ffd4b328a9d961347a85b49c95d8bf5ec1046

[ "BSD-3-Clause" ]

1

2015-08-03T21:27:36.000Z

AutocompleteHandler.py

codeforamerica/sheltraustin

a07ffd4b328a9d961347a85b49c95d8bf5ec1046

[ "BSD-3-Clause" ]

1

2021-04-17T10:13:29.000Z

import tornado.httpserver import tornado.ioloop import tornado.options import tornado.web import simplejson from QueryHandler import QueryHandler class AutocompleteHandler(tornado.web.RequestHandler): @tornado.web.asynchronous def get(self): if not self.request.arguments or self.request.arguments=={}: self.re...

23.074074

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0.746388

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623

6.025974

0.454545

0.112069

0.172414

0.081897

0.107759

0

0.001862

0.138042

623

27

63

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0.173913

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0

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0.043478

false

0

0.26087

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0.434783

0

null

0

null

0

1

0

c44d2937a78223f5c0f6b30adbd02a5949d5f2e6

3,339

py

Python

svl/compiler/plot_validators.py

timothyrenner/svl

a74c09c49f2e14046acd4b0eeb861f8fef6bca96

[ "MIT" ]

8

2019-03-27T12:49:21.000Z

2020-10-10T11:16:25.000Z

svl/compiler/plot_validators.py

timothyrenner/svl

a74c09c49f2e14046acd4b0eeb861f8fef6bca96

[ "MIT" ]

65

2018-08-26T14:48:45.000Z

2020-03-17T12:24:42.000Z

svl/compiler/plot_validators.py

timothyrenner/svl

a74c09c49f2e14046acd4b0eeb861f8fef6bca96

[ "MIT" ]

1

2019-09-13T19:39:07.000Z

from toolz import get PLOT_VALIDATORS = [ ( {"line", "scatter", "bar"}, lambda x: ("x" not in x) or ("y" not in x), "XY plot does not have X and Y.", ), ( {"histogram"}, lambda x: ("step" in x) and ("bins" in x), "Histogram cannot have STEP and BINS.", ),...

29.289474

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0.481881

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3,339

3.604072

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0.026365

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null

0

null

0

1

0

c44dbf415c5fb9329410760b9f9c0e517b6fdb6f

7,421

py

Python

decision_tree.py

cjbayron/ml-models

b3171c9a82fe5ecdcdc5abcdc20af7c18f9f8ec4

[ "MIT" ]

1

2018-12-15T16:36:41.000Z

decision_tree.py

cjbayron/ml-models

b3171c9a82fe5ecdcdc5abcdc20af7c18f9f8ec4

[ "MIT" ]

null

decision_tree.py

cjbayron/ml-models

b3171c9a82fe5ecdcdc5abcdc20af7c18f9f8ec4

[ "MIT" ]

null

''' Building a Decision Tree using CART (from scratch) Note: Code was tested only on dataset with numerical features. Categorical features are not yet fully supported. ''' import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.model_selection import train_test_split from sklearn.metrics im...

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null

0

null

0

1

0

c451451a751c9fd2575b893cf89c5f54e2fd8166

840

py

Python

test_hoyolab.py

c3kay/hoyolab-json-feed

43839194a253271c9c2fcbb564eb4b3e6179c01e

[ "Unlicense" ]

1

2021-09-17T12:40:40.000Z

test_hoyolab.py

c3kay/hoyolab-json-feed

43839194a253271c9c2fcbb564eb4b3e6179c01e

[ "Unlicense" ]

null

test_hoyolab.py

c3kay/hoyolab-json-feed

43839194a253271c9c2fcbb564eb4b3e6179c01e

[ "Unlicense" ]

null

from hoyolab import main from os import environ from os.path import exists import atoma def init_environ(d): environ['HOYOLAB_JSON_PATH'] = '{}/hoyolab.json'.format(d) environ['HOYOLAB_ATOM_PATH'] = '{}/hoyolab.xml'.format(d) environ['HOYOLAB_JSON_URL'] = 'hoyolab.json' environ['HOYOLAB_ATOM_URL'] = '...

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null

0

null

0

1

0

c45419a203ad566f8ae9d52cc297219542ecf9f1

237

py

Python

sausage_grinder/urls.py

jesseerdmann/audiobonsai

ec1edcdbadc6b2aff3b743b5c42515f4d5638830

[ "Apache-2.0" ]

null

sausage_grinder/urls.py

jesseerdmann/audiobonsai

ec1edcdbadc6b2aff3b743b5c42515f4d5638830

[ "Apache-2.0" ]

null

sausage_grinder/urls.py

jesseerdmann/audiobonsai

ec1edcdbadc6b2aff3b743b5c42515f4d5638830

[ "Apache-2.0" ]

null

from django.urls import path from . import views as sg urlpatterns = [ path('artist', sg.artist), path('genre', sg.genre), path('release', sg.release), path('track', sg.track), path('', sg.sausage_grinder_index), ]

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null

0

null

0

1

0

c45577ce768212873fbaadfacdbe638ce864abf9

1,194

py

Python

sails/ui/mmck/parameters/string.py

metrasynth/solar-sails

3a10774dad29d85834d3acb38171741b3a11ef91

[ "MIT" ]

6

2016-11-22T14:32:55.000Z

2021-08-15T01:35:33.000Z

sails/ui/mmck/parameters/string.py

metrasynth/solar-sails

3a10774dad29d85834d3acb38171741b3a11ef91

[ "MIT" ]

2

2022-03-18T16:47:43.000Z

2022-03-18T16:47:44.000Z

sails/ui/mmck/parameters/string.py

metrasynth/solar-sails

3a10774dad29d85834d3acb38171741b3a11ef91

[ "MIT" ]

2

2019-07-09T23:44:08.000Z

2021-08-15T01:35:37.000Z

from PyQt5.QtCore import pyqtSlot from PyQt5.QtWidgets import QComboBox from PyQt5.QtWidgets import QLineEdit from sf.mmck.parameters import String from .manager import widget_class_for from .widget import ParameterWidget @widget_class_for(String) class StringParameterWidget(ParameterWidget): def setUp(self, ui)...

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null

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null

0

1

0

c455ef3791cf634263613f0736425fbda6d62c4c

550

py

Python

plot_top_performers.py

jmphil09/mario_rl

6e93c1318e9957d679a5ec8d29687756ac7fc4b1

[ "MIT" ]

null

plot_top_performers.py

jmphil09/mario_rl

6e93c1318e9957d679a5ec8d29687756ac7fc4b1

[ "MIT" ]

null

plot_top_performers.py

jmphil09/mario_rl

6e93c1318e9957d679a5ec8d29687756ac7fc4b1

[ "MIT" ]

null

from FitnessPlot import FitnessPlot ''' for n in range(1,6): plot = FitnessPlot(folder_prefix='data_top{}'.format(n)) plot.plot_all_workers() plot.plot_workers_as_average() ''' plot = FitnessPlot(folder_prefix='data_top1', num_workers=16) worker_dict = plot.create_worker_dict() #plot.plot_all_workers() #...

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null

0

null

0

1

0

c45760cde68ead756aaeedf9a4958bde55f0fdc2

458

py

Python

benchmark/src/benchmark/bench_logging.py

lwanfuturewei/QFlock

90d6875d9adc8fe2968694904f8421d41e30e189

[ "Apache-2.0" ]

null

benchmark/src/benchmark/bench_logging.py

lwanfuturewei/QFlock

90d6875d9adc8fe2968694904f8421d41e30e189

[ "Apache-2.0" ]

null

benchmark/src/benchmark/bench_logging.py

lwanfuturewei/QFlock

90d6875d9adc8fe2968694904f8421d41e30e189

[ "Apache-2.0" ]

2

2022-03-03T15:28:23.000Z

2022-03-04T15:33:19.000Z

import logging def setup_logger(): formatter = logging.Formatter('%(asctime)s.%(msecs)03d %(levelname)s %(message)s', '%Y-%m-%d %H:%M:%S') logging.basicConfig(level=logging.INFO, format='%(asctime)s.%(msecs)03d %(levelname)-8s %(message)s', ...

26.941176

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0.132231

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0.2

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null

0

null

0

1

0

c45814f676d4f4897bba48b176daa7d8a452554e

6,921

py

Python

tools/configure-gateway/threescale/proxies.py

jparsai/f8a-3scale-connect-api

a782753d662eee5d450da3c20e9ae9eb13b8b560

[ "Apache-2.0" ]

1

2018-09-14T05:18:52.000Z

tools/configure-gateway/threescale/proxies.py

jparsai/f8a-3scale-connect-api

a782753d662eee5d450da3c20e9ae9eb13b8b560

[ "Apache-2.0" ]

48

2017-12-05T12:05:56.000Z

2021-03-25T22:09:29.000Z

tools/configure-gateway/threescale/proxies.py

jparsai/f8a-3scale-connect-api

a782753d662eee5d450da3c20e9ae9eb13b8b560

[ "Apache-2.0" ]

5

2018-01-29T04:53:13.000Z

2020-04-16T13:59:42.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ThreeScale Proxies Rule interface for APIs.""" from .base import ThreeScale import logging import requests import xmltodict import json logger = logging.getLogger(__name__) class Proxies(ThreeScale): """ThreeScale Proxies create, update.""" response = None...

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null

0

null

0

1

0

c45c0b6aabc6d08c2689d66882739d5b4c1b5f06

19,075

py

Python

dumpcode/cpiter.py

gkfthddk/keras

46d96c65d69c39df298800336bbb4d867a2561fb

[ "MIT" ]

null

dumpcode/cpiter.py

gkfthddk/keras

46d96c65d69c39df298800336bbb4d867a2561fb

[ "MIT" ]

null

dumpcode/cpiter.py

gkfthddk/keras

46d96c65d69c39df298800336bbb4d867a2561fb

[ "MIT" ]

null

import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' import subprocess import numpy as np import datetime import random import warnings import ROOT as rt import math from keras.preprocessing.sequence import pad_sequences from keras.callbacks import Callback from array import array from sklearn.metrics import roc_auc_sco...

39.739583

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0.023154

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0.45208

0.431655

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0.007282

0

null

0

null

0

1

0

c45f0b40e801dd329eac9e771b4dd170e217817c

6,600

py

Python

vitrage/tests/unit/datasources/kubernetes/test_kubernetes_transformer.py

openstack/vitrage

95b33dbf39b040e23915882a2879c87aec239ca9

[ "Apache-2.0" ]

89

2015-09-30T21:42:17.000Z

2022-03-28T16:31:19.000Z

vitrage/tests/unit/datasources/kubernetes/test_kubernetes_transformer.py

openstack/vitrage

95b33dbf39b040e23915882a2879c87aec239ca9

[ "Apache-2.0" ]

4

2015-12-13T13:06:53.000Z

2016-01-03T19:51:28.000Z

vitrage/tests/unit/datasources/kubernetes/test_kubernetes_transformer.py

openstack/vitrage

95b33dbf39b040e23915882a2879c87aec239ca9

[ "Apache-2.0" ]

43

2015-11-04T15:54:27.000Z

2021-12-10T14:24:03.000Z

# Copyright 2018 - Nokia # # 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, sof...

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0

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0

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0.252252

0

null

0

null

0

1

0

c4611f97e3d7c75a5d43b772cd3ffe6b29e5f96b

1,044

py

Python

ggshield/scan/scannable_errors.py

rgajason/gg-shield

45c3534bdd174880710b97aedac068f6ddd52eaf

[ "MIT" ]

null

ggshield/scan/scannable_errors.py

rgajason/gg-shield

45c3534bdd174880710b97aedac068f6ddd52eaf

[ "MIT" ]

1

2021-06-02T04:28:09.000Z

ggshield/scan/scannable_errors.py

rgajason/gg-shield

45c3534bdd174880710b97aedac068f6ddd52eaf

[ "MIT" ]

null

from ast import literal_eval from typing import Dict, List import click from pygitguardian.models import Detail from ggshield.text_utils import STYLE, display_error, format_text, pluralize def handle_scan_error(detail: Detail, chunk: List[Dict[str, str]]) -> None: if detail.status_code == 401: raise cli...

32.625

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0.05892

0.032733

0

0.004098

0.298851

1,044

31

81

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0.830601

0

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0.032567

0

1

0.038462

false

0

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0.269231

0

null

0

null

0

1

0

c461b7cff1ea76d96382e29fc4f6db6ef1e4b933

18,049

py

Python

Packs/Base/Scripts/DBotPreprocessTextData/DBotPreprocessTextData.py

matan-xmcyber/content

7f02301c140b35956af3cd20cb8dfc64f34afb3e

[ "MIT" ]

1

2021-08-07T00:21:58.000Z

Packs/Base/Scripts/DBotPreprocessTextData/DBotPreprocessTextData.py

matan-xmcyber/content

7f02301c140b35956af3cd20cb8dfc64f34afb3e

[ "MIT" ]

48

2022-03-08T13:45:00.000Z

2022-03-31T14:32:05.000Z

Packs/Base/Scripts/DBotPreprocessTextData/DBotPreprocessTextData.py

matan-xmcyber/content

7f02301c140b35956af3cd20cb8dfc64f34afb3e

[ "MIT" ]

2

2020-12-10T12:02:45.000Z

2020-12-15T09:20:01.000Z

# pylint: disable=no-member from CommonServerUserPython import * from CommonServerPython import * from sklearn.feature_extraction.text import TfidfVectorizer import pickle import uuid import spacy import string from html.parser import HTMLParser from html import unescape from re import compile as _Re import pandas as p...

40.559551

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18,049

4.802949

0.151921

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0.08959

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0

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0

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0.179894

0

null

0

null

0

1

0

c464ae6c792d78df3c469e563d6a59248c7a5e64

2,799

py

Python

punc_recover/tester/punc_tester.py

Z-yq/audioSamples.github.io

53c474288f0db1a3acfe40ba57a4cd5f2aecbcd3

[ "Apache-2.0" ]

1

2022-03-03T02:51:55.000Z

punc_recover/tester/punc_tester.py

RapidAI/TensorflowASR

084519b5a0464f465e1d72c24cba07c1ec55cd26

[ "Apache-2.0" ]

null

punc_recover/tester/punc_tester.py

RapidAI/TensorflowASR

084519b5a0464f465e1d72c24cba07c1ec55cd26

[ "Apache-2.0" ]

null

import logging import os import tensorflow as tf from punc_recover.models.punc_transformer import PuncTransformer from punc_recover.tester.base_tester import BaseTester from utils.text_featurizers import TextFeaturizer class PuncTester(BaseTester): """ Trainer for CTC Models """ def __init__(self, ...

36.350649

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0.04258

0

0.006972

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2,799

76

95

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false

0

0.109091

0

0.290909

0

null

0

null

0

1

0

c4667c374455b11e101ec3e8d25bd29cd21c3a81

3,965

py

Python

tests/downloader_test.py

jkawamoto/roadie-gcp

96394a47d375bd01e167f351fc86a03905e98395

[ "MIT" ]

1

2018-09-20T01:51:23.000Z

tests/downloader_test.py

jkawamoto/roadie-gcp

96394a47d375bd01e167f351fc86a03905e98395

[ "MIT" ]

9

2016-01-31T11:28:12.000Z

2021-04-30T20:43:39.000Z

tests/downloader_test.py

jkawamoto/roadie-gcp

96394a47d375bd01e167f351fc86a03905e98395

[ "MIT" ]

null

#! /usr/bin/env python # # downloader_test.py # # Copyright (c) 2015-2016 Junpei Kawamoto # # This software is released under the MIT License. # # http://opensource.org/licenses/mit-license.php # """ Test for downloader module. """ import logging import shutil import sys import unittest import os from os import path im...

30.037879

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0.330361

0.288204

0

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0

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false

0

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0

0.283582

0

null

0

null

0

1

0

c466ca50010615bb02d62529ff22d41f7530666b

1,800

py

Python

ticle/plotters/plot_phase.py

muma7490/TICLE

bffa64ee488abac17809d02dfc176fe80128541a

[ "MIT" ]

null

ticle/plotters/plot_phase.py

muma7490/TICLE

bffa64ee488abac17809d02dfc176fe80128541a

[ "MIT" ]

null

ticle/plotters/plot_phase.py

muma7490/TICLE

bffa64ee488abac17809d02dfc176fe80128541a

[ "MIT" ]

null

import matplotlib.pyplot as pl import os import numpy as np from ticle.data.dataHandler import normalizeData,load_file from ticle.analysis.analysis import get_phases,normalize_phase pl.rc('xtick', labelsize='x-small') pl.rc('ytick', labelsize='x-small') pl.rc('font', family='serif') pl.rcParams.update({'font.size': 2...

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0

0.014453

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27.692308

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0

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0

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0

1

0

false

0.041667

0.104167

0

0.104167

0

null

0

null

0

1

0

c467d3e82cd1949de48c0e1eac654f4ecca276b3

7,267

py

Python

src/putil/rabbitmq/rabbit_util.py

scionrep/scioncc_new

086be085b69711ee24c4c86ed42f2109ca0db027

[ "BSD-2-Clause" ]

2

2015-10-05T20:36:35.000Z

2018-11-21T11:45:24.000Z

src/putil/rabbitmq/rabbit_util.py

scionrep/scioncc_new

086be085b69711ee24c4c86ed42f2109ca0db027

[ "BSD-2-Clause" ]

21

2015-03-18T14:39:32.000Z

2016-07-01T17:16:29.000Z

src/putil/rabbitmq/rabbit_util.py

scionrep/scioncc_new

086be085b69711ee24c4c86ed42f2109ca0db027

[ "BSD-2-Clause" ]

12

2015-03-18T10:53:49.000Z

2018-06-21T11:19:57.000Z

#!/usr/bin/python import shlex import simplejson from putil.rabbitmq.rabbitmqadmin import Management, make_parser, LISTABLE, DELETABLE class RabbitManagementUtil(object): def __init__(self, config, options=None, sysname=None): """ Given a config object (system CFG or rabbit mgmt config), extra...

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null

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null

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c4692b2cd0fdba89e13d15c53467b6b2f916be48

5,362

py

Python

gaternet/main.py

gunpowder78/google-research

d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5

[ "Apache-2.0" ]

1

2022-03-13T21:48:52.000Z

gaternet/main.py

gunpowder78/google-research

d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5

[ "Apache-2.0" ]

null

gaternet/main.py

gunpowder78/google-research

d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5

[ "Apache-2.0" ]

1

2022-03-30T07:20:29.000Z

# coding=utf-8 # Copyright 2022 The Google Research 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 applicab...

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null

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null

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c46b9bf38daa8aa62af17faaff944dc07ddd1de9

5,776

py

Python

fixEngine/fixEngine.py

HNGlez/ExchangeConnector

5176437963a3e9e671bb059c599c79f39439f4d4

[ "MIT" ]

null

fixEngine/fixEngine.py

HNGlez/ExchangeConnector

5176437963a3e9e671bb059c599c79f39439f4d4

[ "MIT" ]

null

fixEngine/fixEngine.py

HNGlez/ExchangeConnector

5176437963a3e9e671bb059c599c79f39439f4d4

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ ExchangeConnector fixEngine Copyright (c) 2020 Hugo Nistal Gonzalez 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, includi...

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null

0

null

0

1

0

c46dc4849d73685f3bf2bf7edc6ed45dee20d695

307

py

Python

Python/Day8 DictionariesAndMaps.py

codePerfectPlus/30-DaysOfCode-With-Python-And-JavaScript

570fa12ed30659fa394d86e12583b69f35a2e7a7

[ "MIT" ]

8

2020-08-03T01:53:13.000Z

2022-01-09T14:47:58.000Z

Python/Day8 DictionariesAndMaps.py

codePerfectPlus/30-DaysOfCode-With-Python-And-JavaScript

570fa12ed30659fa394d86e12583b69f35a2e7a7

[ "MIT" ]

null

Python/Day8 DictionariesAndMaps.py

codePerfectPlus/30-DaysOfCode-With-Python-And-JavaScript

570fa12ed30659fa394d86e12583b69f35a2e7a7

[ "MIT" ]

4

2020-09-29T11:28:53.000Z

2021-06-02T15:34:55.000Z

N = int(input()) entry = [input().split() for _ in range(N)] phoneBook = {name: number for name, number in entry} while True: try: name = input() if name in phoneBook: print(f"{name}={phoneBook[name]}") else: print("Not found") except: break

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null

0

null

0

1

0

c46f3c278fa8309cddd52d6eeccf2dae6ea924e2

1,850

py

Python

10. Recurrent Neural Network/10-1) Recurrent Neural Network, RNN.py

choijiwoong/-ROKA-torch-tutorial-files

c298fdf911cd64757895c3ab9f71ae7c3467c545

[ "Unlicense" ]

null

10. Recurrent Neural Network/10-1) Recurrent Neural Network, RNN.py

choijiwoong/-ROKA-torch-tutorial-files

c298fdf911cd64757895c3ab9f71ae7c3467c545

[ "Unlicense" ]

null

10. Recurrent Neural Network/10-1) Recurrent Neural Network, RNN.py

choijiwoong/-ROKA-torch-tutorial-files

c298fdf911cd64757895c3ab9f71ae7c3467c545

[ "Unlicense" ]

null

#Sequence model. != Recursive Neural Network #memory cell or RNN cell #hidden state #one-to-many_image captioning, many-to-one_sentiment classfication || spam detection, many-to-many_chat bot #2) create RNN in python import numpy as np timesteps=10#시점의 수 _문장의 길이 input_size=4#입력의 차원_단어벡터의 차원 hidden_size=8#메모리 셀의 용량(은닉...

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0

c46f42400056a3b7b9402bc800d3e92633345822

720

py

Python

WeLearn/M3-Python/L3-Python_Object/pet.py

munoz196/moonyosCSSIrep

cdfcd2ae061293471ecdf2d370a27f163efeba97

[ "Apache-2.0" ]

null

WeLearn/M3-Python/L3-Python_Object/pet.py

munoz196/moonyosCSSIrep

cdfcd2ae061293471ecdf2d370a27f163efeba97

[ "Apache-2.0" ]

null

WeLearn/M3-Python/L3-Python_Object/pet.py

munoz196/moonyosCSSIrep

cdfcd2ae061293471ecdf2d370a27f163efeba97

[ "Apache-2.0" ]

null

pet = { "name":"Doggo", "animal":"dog", "species":"labrador", "age":"5" } class Pet(object): def __init__(self, name, age, animal): self.name = name self.age = age self.animal = animal self.hungry = False self.mood= "happy" def eat(self): print("> %s is eating....

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null

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null

0

1

0

c470769346abfe53705868b77ccb1792faae0816

1,260

py

Python

src/repositories/example_repo.py

pybokeh/dagster-examples

459cfbe00585f1d123e49058685c74149efb867d

[ "MIT" ]

null

src/repositories/example_repo.py

pybokeh/dagster-examples

459cfbe00585f1d123e49058685c74149efb867d

[ "MIT" ]

null

src/repositories/example_repo.py

pybokeh/dagster-examples

459cfbe00585f1d123e49058685c74149efb867d

[ "MIT" ]

null

from dagster import job, repository from ops.sklearn_ops import ( fetch_freehand_text_to_generic_data, separate_features_from_target_label, label_encode_target, count_tfid_transform_train, count_tfid_transform_test, create_sgd_classifier_model, predict ) @ job( description...

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0

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0.178571

0

null

0

null

0

1

0

c4721b4a3c1999fdb50a16efbe7e2d5c42d79e86

551

py

Python

exercicios/Maior_e_Menor_Valores.py

jeversonneves/Python

c31779d8db64b22711fe612cc943da8c5e51788b

[ "MIT" ]

null

exercicios/Maior_e_Menor_Valores.py

jeversonneves/Python

c31779d8db64b22711fe612cc943da8c5e51788b

[ "MIT" ]

null

exercicios/Maior_e_Menor_Valores.py

jeversonneves/Python

c31779d8db64b22711fe612cc943da8c5e51788b

[ "MIT" ]

null

resposta = 'S' soma = quant = media = maior = menor = 0 while resposta in 'Ss': n = int(input('Digite um número: ')) soma += n quant += 1 if quant == 1: maior = menor = n else: if n > maior: maior = n elif n < menor: menor = n resposta = str(input(...

30.611111

93

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551

3.822785

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0.099338

0

0.010309

0.295826

551

17

94

32.411765

0.768041

0

0.252269

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0

0.117647

0

null

0

null

0

1

0

c47376723d72b33e6ef5ded0c99f0808db10a51e

4,252

py

Python

AI/Housing Prices Prediction/HousePricesNN.py

n0rel/self

f9f44af42aa652f9a72279e44ffd8d4387a4bdae

[ "MIT" ]

null

AI/Housing Prices Prediction/HousePricesNN.py

n0rel/self

f9f44af42aa652f9a72279e44ffd8d4387a4bdae

[ "MIT" ]

null

AI/Housing Prices Prediction/HousePricesNN.py

n0rel/self

f9f44af42aa652f9a72279e44ffd8d4387a4bdae

[ "MIT" ]

null

import numpy as np import pandas as pd from sklearn.preprocessing import LabelEncoder, MinMaxScaler from numpy.random import uniform import matplotlib.pyplot as plt def relu(x): return x * (x > 0) def relu_deriv(x): return 1 * (x > 0) class NeuralNetwork: """ Our NN will predict a housing price gi...

33.480315

149

0.63476

598

4,252

4.30602

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0.045437

0.039612

0.065243

0.280777

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0.131262

0.098641

0

0.0281

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4,252

126

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0.237288

0.050847

0

null

0

null

0

1

0

c4737a166e262dfedd58077027d802632dac9651

7,829

py

Python

tests/test_export_keyword_template_catalina_10_15_4.py

PabloKohan/osxphotos

2cf3b6bb674c312240c4b12c5d7b558f15be7c85

[ "MIT" ]

null

tests/test_export_keyword_template_catalina_10_15_4.py

PabloKohan/osxphotos

2cf3b6bb674c312240c4b12c5d7b558f15be7c85

[ "MIT" ]

null

tests/test_export_keyword_template_catalina_10_15_4.py

PabloKohan/osxphotos

2cf3b6bb674c312240c4b12c5d7b558f15be7c85

[ "MIT" ]

null

import pytest from osxphotos._constants import _UNKNOWN_PERSON PHOTOS_DB = "./tests/Test-10.15.4.photoslibrary/database/photos.db" TOP_LEVEL_FOLDERS = ["Folder1"] TOP_LEVEL_CHILDREN = ["SubFolder1", "SubFolder2"] FOLDER_ALBUM_DICT = {"Folder1": [], "SubFolder1": [], "SubFolder2": ["AlbumInFolder"]} ALBUM_NAMES = ...

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0.068323

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null

0

null

0

1

0

c474a170eb0e1f1c4fbbb4250190b02bde10d265

4,537

py

Python

tests/test_refinement.py

qfardet/Pandora2D

9b36d29a199f2acc67499d22b796c7dd6867bc5f

[ "Apache-2.0" ]

4

2022-02-09T10:07:03.000Z

2022-03-08T05:16:30.000Z

tests/test_refinement.py

qfardet/Pandora2D

9b36d29a199f2acc67499d22b796c7dd6867bc5f

[ "Apache-2.0" ]

null

tests/test_refinement.py

qfardet/Pandora2D

9b36d29a199f2acc67499d22b796c7dd6867bc5f

[ "Apache-2.0" ]

4

2022-02-03T09:21:28.000Z

2022-03-25T07:32:13.000Z

#!/usr/bin/env python # coding: utf8 # # Copyright (c) 2021 Centre National d'Etudes Spatiales (CNES). # # This file is part of PANDORA2D # # https://github.com/CNES/Pandora2D # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You...

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0

null

0

null

0

1

0

c476f31483a0cfb0e93a77ded50e7c656f3f727f

16,628

py

Python

src/players.py

deacona/the-ball-is-round

8e91a72084d13d754deb82e4852fa37a86a77084

[ "MIT" ]

null

src/players.py

deacona/the-ball-is-round

8e91a72084d13d754deb82e4852fa37a86a77084

[ "MIT" ]

null

src/players.py

deacona/the-ball-is-round

8e91a72084d13d754deb82e4852fa37a86a77084

[ "MIT" ]

null

"""players module. Used for players data processes """ import numpy as np import pandas as pd import src.config as config import src.utilities as utilities from src.utilities import logging pd.set_option("display.max_columns", 500) pd.set_option("display.expand_frame_repr", False) # master_file = config.MASTER_FILE...

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0.04386

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null

0

null

0

1

0

c47739874e06f42c7eb96ea82d6382fed8af2e9d

2,035

py

Python

Z_ALL_FILE/Py/code_qry.py

omikabir/omEngin

b8c04a5c2c12ffc3d0b67c2ceba9e5741d3f9195

[ "Apache-2.0" ]

null

Z_ALL_FILE/Py/code_qry.py

omikabir/omEngin

b8c04a5c2c12ffc3d0b67c2ceba9e5741d3f9195

[ "Apache-2.0" ]

null

Z_ALL_FILE/Py/code_qry.py

omikabir/omEngin

b8c04a5c2c12ffc3d0b67c2ceba9e5741d3f9195

[ "Apache-2.0" ]

1

2021-04-29T21:46:02.000Z

import pandas as pd import os #opt = itertools.islice(ls, len(ls)) #st = map(lambda x : ) def parsecode(txt): df = pd.read_csv(os.getcwd() + '\\OMDB.csv') ls = df['Code'].to_list() code = [] q = 0 for i in range(len(ls)): text = txt if ls[i] in text: n = text.find(ls[...

28.263889

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